id	sid	tid	token	lemma	pos
easat-10606	1	1	edelweiss	edelweiss	PROPN
easat-10606	1	2	applied	apply	VERB
easat-10606	1	3	science	science	NOUN
easat-10606	1	4	and	and	CCONJ
easat-10606	1	5	technology	technology	NOUN
easat-10606	1	6	issn	issn	PROPN
easat-10606	1	7	:	:	PUNCT
easat-10606	1	8	2576	2576	NUM
easat-10606	1	9	-	-	SYM
easat-10606	1	10	8484	8484	NUM
easat-10606	1	11	vol	vol	NOUN
easat-10606	1	12	.	.	PROPN
easat-10606	2	1	9	9	NUM
easat-10606	2	2	,	,	PUNCT
easat-10606	2	3	no	no	INTJ
easat-10606	2	4	.	.	NOUN
easat-10606	2	5	10	10	NUM
easat-10606	2	6	,	,	PUNCT
easat-10606	2	7	1149	1149	NUM
easat-10606	2	8	-	-	SYM
easat-10606	2	9	1180	1180	NUM
easat-10606	2	10	2025	2025	NUM
easat-10606	2	11	publisher	publisher	NOUN
easat-10606	2	12	:	:	PUNCT
easat-10606	2	13	learning	learn	VERB
easat-10606	2	14	gate	gate	NOUN
easat-10606	2	15	doi	doi	PROPN
easat-10606	2	16	:	:	PUNCT
easat-10606	2	17	10.55214/2576	10.55214/2576	NUM
easat-10606	2	18	-	-	SYM
easat-10606	2	19	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	2	20	©	©	ADP
easat-10606	2	21	2025	2025	NUM
easat-10606	2	22	by	by	ADP
easat-10606	2	23	the	the	DET
easat-10606	2	24	authors	author	NOUN
easat-10606	2	25	;	;	PUNCT
easat-10606	2	26	licensee	licensee	PROPN
easat-10606	2	27	learning	learning	NOUN
easat-10606	2	28	gate	gate	NOUN
easat-10606	3	1	©	©	PROPN
easat-10606	3	2	2025	2025	NUM
easat-10606	3	3	by	by	ADP
easat-10606	3	4	the	the	DET
easat-10606	3	5	authors	author	NOUN
easat-10606	3	6	;	;	PUNCT
easat-10606	3	7	licensee	licensee	PROPN
easat-10606	3	8	learning	learning	NOUN
easat-10606	3	9	gate	gate	NOUN
easat-10606	3	10	history	history	NOUN
easat-10606	3	11	:	:	PUNCT
easat-10606	3	12	received	receive	VERB
easat-10606	3	13	:	:	PUNCT
easat-10606	3	14	4	4	NUM
easat-10606	3	15	august	august	PROPN
easat-10606	3	16	2025	2025	NUM
easat-10606	3	17	;	;	PUNCT
easat-10606	3	18	revised	revise	VERB
easat-10606	3	19	:	:	PUNCT
easat-10606	3	20	1	1	NUM
easat-10606	3	21	october	october	NOUN
easat-10606	3	22	2025	2025	NUM
easat-10606	3	23	;	;	PUNCT
easat-10606	3	24	accepted	accept	VERB
easat-10606	3	25	:	:	PUNCT
easat-10606	3	26	6	6	NUM
easat-10606	3	27	october	october	NOUN
easat-10606	3	28	2025	2025	NUM
easat-10606	3	29	;	;	PUNCT
easat-10606	3	30	published	publish	VERB
easat-10606	3	31	:	:	PUNCT
easat-10606	4	1	16	16	NUM
easat-10606	4	2	october	october	PROPN
easat-10606	4	3	2025	2025	NUM
easat-10606	4	4	*	*	PUNCT
easat-10606	4	5	correspondence	correspondence	NOUN
easat-10606	4	6	:	:	PUNCT
easat-10606	5	1	abidemi.adeniyi@bowen.edu.ng	abidemi.adeniyi@bowen.edu.ng	ADP
easat-10606	5	2	prediction	prediction	NOUN
easat-10606	5	3	of	of	ADP
easat-10606	5	4	students	student	NOUN
easat-10606	5	5	’	'	PUNCT
easat-10606	5	6	feedback	feedback	NOUN
easat-10606	5	7	on	on	ADP
easat-10606	5	8	faculty	faculty	NOUN
easat-10606	5	9	performance	performance	NOUN
easat-10606	5	10	using	use	VERB
easat-10606	5	11	stacking	stack	VERB
easat-10606	5	12	ensemble	ensemble	ADJ
easat-10606	5	13	method	method	NOUN
easat-10606	5	14	:	:	PUNCT
easat-10606	5	15	machine	machine	NOUN
easat-10606	5	16	learning	learn	VERB
easat-10606	5	17	algorithm	algorithm	PROPN
easat-10606	5	18	mayowa	mayowa	PROPN
easat-10606	5	19	samuel	samuel	PROPN
easat-10606	5	20	alade1	alade1	PROPN
easat-10606	5	21	,	,	PUNCT
easat-10606	5	22	samuel	samuel	PROPN
easat-10606	5	23	olujimi	olujimi	PROPN
easat-10606	5	24	adejumo2	adejumo2	PROPN
easat-10606	5	25	,	,	PUNCT
easat-10606	5	26	olufemi	olufemi	PROPN
easat-10606	5	27	deborah	deborah	PROPN
easat-10606	5	28	ninan3	ninan3	PROPN
easat-10606	5	29	,	,	PUNCT
easat-10606	5	30	abidemi	abidemi	NOUN
easat-10606	5	31	emmanuel	emmanuel	PROPN
easat-10606	5	32	adeniyi4	adeniyi4	PROPN
easat-10606	5	33	*	*	PROPN
easat-10606	5	34	,	,	PUNCT
easat-10606	5	35	emeka	emeka	PROPN
easat-10606	5	36	ogbuju5	ogbuju5	NUM
easat-10606	5	37	,	,	PUNCT
easat-10606	5	38	oluwasegun	oluwasegun	NOUN
easat-10606	5	39	julius	julius	PROPN
easat-10606	5	40	aroba6	aroba6	PROPN
easat-10606	5	41	,	,	PUNCT
easat-10606	5	42	manduth	manduth	NOUN
easat-10606	5	43	ramchander7	ramchander7	NOUN
easat-10606	5	44	,	,	PUNCT
easat-10606	5	45	timothy	timothy	PROPN
easat-10606	5	46	t.	t.	PROPN
easat-10606	5	47	adeliyi8	adeliyi8	PROPN
easat-10606	6	1	1,2department	1,2department	NUM
easat-10606	6	2	of	of	ADP
easat-10606	6	3	computer	computer	NOUN
easat-10606	6	4	science	science	NOUN
easat-10606	6	5	,	,	PUNCT
easat-10606	6	6	nnamdi	nnamdi	PROPN
easat-10606	6	7	azikiwe	azikiwe	PROPN
easat-10606	6	8	university	university	PROPN
easat-10606	6	9	,	,	PUNCT
easat-10606	6	10	awka	awka	NOUN
easat-10606	6	11	,	,	PUNCT
easat-10606	6	12	nigeria	nigeria	PRON
easat-10606	6	13	.	.	PUNCT
easat-10606	7	1	3department	3department	NUM
easat-10606	7	2	of	of	ADP
easat-10606	7	3	computer	computer	NOUN
easat-10606	7	4	science	science	NOUN
easat-10606	7	5	and	and	CCONJ
easat-10606	7	6	engineering	engineering	NOUN
easat-10606	7	7	,	,	PUNCT
easat-10606	7	8	obafemi	obafemi	ADP
easat-10606	7	9	awolowo	awolowo	PROPN
easat-10606	7	10	university	university	PROPN
easat-10606	7	11	,	,	PUNCT
easat-10606	7	12	ile	ile	PROPN
easat-10606	7	13	-	-	PUNCT
easat-10606	7	14	ife	ife	PROPN
easat-10606	7	15	,	,	PUNCT
easat-10606	7	16	nigeria	nigeria	PROPN
easat-10606	7	17	.	.	PUNCT
easat-10606	8	1	4department	4department	NUM
easat-10606	8	2	of	of	ADP
easat-10606	8	3	computer	computer	NOUN
easat-10606	8	4	science	science	NOUN
easat-10606	8	5	,	,	PUNCT
easat-10606	8	6	bowen	bowen	PROPN
easat-10606	8	7	university	university	PROPN
easat-10606	8	8	,	,	PUNCT
easat-10606	8	9	iwo	iwo	PROPN
easat-10606	8	10	,	,	PUNCT
easat-10606	8	11	nigeria	nigeria	PROPN
easat-10606	8	12	;	;	PUNCT
easat-10606	8	13	abidemi.adeniyi@bowen.edu.ng	abidemi.adeniyi@bowen.edu.ng	ADP
easat-10606	8	14	(	(	PUNCT
easat-10606	8	15	a.e.a	a.e.a	ADJ
easat-10606	8	16	.	.	PUNCT
easat-10606	8	17	)	)	PUNCT
easat-10606	8	18	.	.	PUNCT
easat-10606	9	1	4chitkara	4chitkara	NUM
easat-10606	9	2	university	university	PROPN
easat-10606	9	3	institute	institute	NOUN
easat-10606	9	4	of	of	ADP
easat-10606	9	5	engineering	engineering	NOUN
easat-10606	9	6	and	and	CCONJ
easat-10606	9	7	technology	technology	NOUN
easat-10606	9	8	,	,	PUNCT
easat-10606	9	9	chitkara	chitkara	ADJ
easat-10606	9	10	university	university	NOUN
easat-10606	9	11	,	,	PUNCT
easat-10606	9	12	punjab	punjab	PROPN
easat-10606	9	13	,	,	PUNCT
easat-10606	9	14	india	india	PROPN
easat-10606	9	15	.	.	PUNCT
easat-10606	10	1	5department	5department	NUM
easat-10606	10	2	of	of	ADP
easat-10606	10	3	computer	computer	NOUN
easat-10606	10	4	science	science	NOUN
easat-10606	10	5	,	,	PUNCT
easat-10606	10	6	miva	miva	PROPN
easat-10606	10	7	open	open	PROPN
easat-10606	10	8	university	university	PROPN
easat-10606	10	9	,	,	PUNCT
easat-10606	10	10	abuja	abuja	PROPN
easat-10606	10	11	,	,	PUNCT
easat-10606	10	12	nigeria	nigeria	PROPN
easat-10606	10	13	.	.	PUNCT
easat-10606	11	1	6centre	6centre	NUM
easat-10606	11	2	for	for	ADP
easat-10606	11	3	ecological	ecological	ADJ
easat-10606	11	4	intelligence	intelligence	NOUN
easat-10606	11	5	department	department	NOUN
easat-10606	11	6	,	,	PUNCT
easat-10606	11	7	faculty	faculty	NOUN
easat-10606	11	8	of	of	ADP
easat-10606	11	9	engineering	engineering	PROPN
easat-10606	11	10	&	&	CCONJ
easat-10606	11	11	built	build	VERB
easat-10606	11	12	environment	environment	NOUN
easat-10606	11	13	,	,	PUNCT
easat-10606	11	14	university	university	PROPN
easat-10606	11	15	of	of	ADP
easat-10606	11	16	johannesburg	johannesburg	PROPN
easat-10606	11	17	,	,	PUNCT
easat-10606	11	18	south	south	PROPN
easat-10606	11	19	africa	africa	PROPN
easat-10606	11	20	.	.	PUNCT
easat-10606	12	1	6,7operations	6,7operations	NUM
easat-10606	12	2	and	and	CCONJ
easat-10606	12	3	quality	quality	NOUN
easat-10606	12	4	department	department	NOUN
easat-10606	12	5	,	,	PUNCT
easat-10606	12	6	faculty	faculty	NOUN
easat-10606	12	7	of	of	ADP
easat-10606	12	8	management	management	NOUN
easat-10606	12	9	science	science	NOUN
easat-10606	12	10	,	,	PUNCT
easat-10606	12	11	durban	durban	PROPN
easat-10606	12	12	university	university	PROPN
easat-10606	12	13	of	of	ADP
easat-10606	12	14	technology	technology	NOUN
easat-10606	12	15	,	,	PUNCT
easat-10606	12	16	kwazulu	kwazulu	PROPN
easat-10606	12	17	-	-	PUNCT
easat-10606	12	18	natal	natal	ADJ
easat-10606	12	19	4001	4001	NUM
easat-10606	12	20	,	,	PUNCT
easat-10606	12	21	south	south	PROPN
easat-10606	12	22	africa	africa	PROPN
easat-10606	12	23	.	.	PUNCT
easat-10606	13	1	8department	8department	NUM
easat-10606	13	2	of	of	ADP
easat-10606	13	3	informatics	informatics	PROPN
easat-10606	13	4	,	,	PUNCT
easat-10606	13	5	university	university	PROPN
easat-10606	13	6	of	of	ADP
easat-10606	13	7	pretoria	pretoria	PROPN
easat-10606	13	8	,	,	PUNCT
easat-10606	13	9	pretoria	pretoria	PROPN
easat-10606	13	10	0083	0083	NUM
easat-10606	13	11	,	,	PUNCT
easat-10606	13	12	south	south	PROPN
easat-10606	13	13	africa	africa	PROPN
easat-10606	13	14	.	.	PUNCT
easat-10606	14	1	abstract	abstract	ADJ
easat-10606	14	2	:	:	PUNCT
easat-10606	14	3	students	student	NOUN
easat-10606	14	4	’	'	PUNCT
easat-10606	14	5	feedback	feedback	NOUN
easat-10606	14	6	is	be	AUX
easat-10606	14	7	fundamental	fundamental	ADJ
easat-10606	14	8	for	for	ADP
easat-10606	14	9	the	the	DET
easat-10606	14	10	growth	growth	NOUN
easat-10606	14	11	and	and	CCONJ
easat-10606	14	12	development	development	NOUN
easat-10606	14	13	of	of	ADP
easat-10606	14	14	higher	high	ADJ
easat-10606	14	15	education	education	NOUN
easat-10606	14	16	institutions	institution	NOUN
easat-10606	14	17	.	.	PUNCT
easat-10606	15	1	feedback	feedback	NOUN
easat-10606	15	2	and	and	CCONJ
easat-10606	15	3	comments	comment	NOUN
easat-10606	15	4	from	from	ADP
easat-10606	15	5	students	student	NOUN
easat-10606	15	6	are	be	AUX
easat-10606	15	7	an	an	DET
easat-10606	15	8	extremely	extremely	ADV
easat-10606	15	9	useful	useful	ADJ
easat-10606	15	10	and	and	CCONJ
easat-10606	15	11	valuable	valuable	ADJ
easat-10606	15	12	source	source	NOUN
easat-10606	15	13	of	of	ADP
easat-10606	15	14	information	information	NOUN
easat-10606	15	15	that	that	PRON
easat-10606	15	16	reflects	reflect	VERB
easat-10606	15	17	the	the	DET
easat-10606	15	18	quality	quality	NOUN
easat-10606	15	19	of	of	ADP
easat-10606	15	20	education	education	NOUN
easat-10606	15	21	or	or	CCONJ
easat-10606	15	22	educational	educational	ADJ
easat-10606	15	23	services	service	NOUN
easat-10606	15	24	received	receive	VERB
easat-10606	15	25	by	by	ADP
easat-10606	15	26	students	student	NOUN
easat-10606	15	27	.	.	PUNCT
easat-10606	16	1	however	however	ADV
easat-10606	16	2	,	,	PUNCT
easat-10606	16	3	the	the	DET
easat-10606	16	4	effective	effective	ADJ
easat-10606	16	5	management	management	NOUN
easat-10606	16	6	of	of	ADP
easat-10606	16	7	qualitative	qualitative	ADJ
easat-10606	16	8	opinions	opinion	NOUN
easat-10606	16	9	of	of	ADP
easat-10606	16	10	students	student	NOUN
easat-10606	16	11	is	be	AUX
easat-10606	16	12	a	a	DET
easat-10606	16	13	challenge	challenge	NOUN
easat-10606	16	14	.	.	PUNCT
easat-10606	17	1	undeniably	undeniably	ADV
easat-10606	17	2	,	,	PUNCT
easat-10606	17	3	many	many	ADJ
easat-10606	17	4	organisations	organisation	NOUN
easat-10606	17	5	deal	deal	VERB
easat-10606	17	6	with	with	ADP
easat-10606	17	7	quantitative	quantitative	ADJ
easat-10606	17	8	feedback	feedback	NOUN
easat-10606	17	9	effectively	effectively	ADV
easat-10606	17	10	,	,	PUNCT
easat-10606	17	11	while	while	SCONJ
easat-10606	17	12	qualitative	qualitative	ADJ
easat-10606	17	13	feedback	feedback	NOUN
easat-10606	17	14	is	be	AUX
easat-10606	17	15	either	either	CCONJ
easat-10606	17	16	manually	manually	ADV
easat-10606	17	17	processed	process	VERB
easat-10606	17	18	or	or	CCONJ
easat-10606	17	19	ignored	ignore	VERB
easat-10606	17	20	.	.	PUNCT
easat-10606	18	1	this	this	DET
easat-10606	18	2	paper	paper	NOUN
easat-10606	18	3	proposes	propose	VERB
easat-10606	18	4	an	an	DET
easat-10606	18	5	opinion	opinion	NOUN
easat-10606	18	6	mining	mining	NOUN
easat-10606	18	7	or	or	CCONJ
easat-10606	18	8	sentiment	sentiment	NOUN
easat-10606	18	9	analysis	analysis	NOUN
easat-10606	18	10	system	system	NOUN
easat-10606	18	11	using	use	VERB
easat-10606	18	12	a	a	DET
easat-10606	18	13	stacking	stack	VERB
easat-10606	18	14	ensemble	ensemble	ADV
easat-10606	18	15	-	-	PUNCT
easat-10606	18	16	based	base	VERB
easat-10606	18	17	method	method	NOUN
easat-10606	18	18	.	.	PUNCT
easat-10606	19	1	furthermore	furthermore	ADV
easat-10606	19	2	,	,	PUNCT
easat-10606	19	3	four	four	NUM
easat-10606	19	4	base	base	NOUN
easat-10606	19	5	models	model	NOUN
easat-10606	19	6	,	,	PUNCT
easat-10606	19	7	comprising	comprise	VERB
easat-10606	19	8	various	various	ADJ
easat-10606	19	9	base	base	NOUN
easat-10606	19	10	-	-	PUNCT
easat-10606	19	11	level	level	NOUN
easat-10606	19	12	classifiers	classifier	NOUN
easat-10606	19	13	,	,	PUNCT
easat-10606	19	14	including	include	VERB
easat-10606	19	15	logistic	logistic	ADJ
easat-10606	19	16	regression	regression	NOUN
easat-10606	19	17	(	(	PUNCT
easat-10606	19	18	lr	lr	NOUN
easat-10606	19	19	)	)	PUNCT
easat-10606	19	20	,	,	PUNCT
easat-10606	19	21	support	support	NOUN
easat-10606	19	22	vector	vector	NOUN
easat-10606	19	23	machine	machine	NOUN
easat-10606	19	24	(	(	PUNCT
easat-10606	19	25	svm	svm	PROPN
easat-10606	19	26	)	)	PUNCT
easat-10606	19	27	,	,	PUNCT
easat-10606	19	28	multilayer	multilayer	PROPN
easat-10606	19	29	perceptron	perceptron	PROPN
easat-10606	19	30	(	(	PUNCT
easat-10606	19	31	mlp	mlp	PROPN
easat-10606	19	32	)	)	PUNCT
easat-10606	19	33	,	,	PUNCT
easat-10606	19	34	and	and	CCONJ
easat-10606	19	35	naïve	naïve	ADJ
easat-10606	19	36	bayes	bayes	NOUN
easat-10606	19	37	(	(	PUNCT
easat-10606	19	38	nb	nb	PROPN
easat-10606	19	39	)	)	PUNCT
easat-10606	19	40	,	,	PUNCT
easat-10606	19	41	predict	predict	VERB
easat-10606	19	42	the	the	DET
easat-10606	19	43	orientations	orientation	NOUN
easat-10606	19	44	as	as	ADP
easat-10606	19	45	positive	positive	ADJ
easat-10606	19	46	,	,	PUNCT
easat-10606	19	47	negative	negative	ADJ
easat-10606	19	48	,	,	PUNCT
easat-10606	19	49	or	or	CCONJ
easat-10606	19	50	neutral	neutral	ADJ
easat-10606	19	51	.	.	PUNCT
easat-10606	20	1	the	the	DET
easat-10606	20	2	system	system	NOUN
easat-10606	20	3	has	have	AUX
easat-10606	20	4	been	be	AUX
easat-10606	20	5	evaluated	evaluate	VERB
easat-10606	20	6	using	use	VERB
easat-10606	20	7	performance	performance	NOUN
easat-10606	20	8	metrics	metric	NOUN
easat-10606	20	9	such	such	ADJ
easat-10606	20	10	as	as	ADP
easat-10606	20	11	accuracy	accuracy	NOUN
easat-10606	20	12	,	,	PUNCT
easat-10606	20	13	precision	precision	NOUN
easat-10606	20	14	,	,	PUNCT
easat-10606	20	15	recall	recall	NOUN
easat-10606	20	16	and	and	CCONJ
easat-10606	20	17	f1	f1	NOUN
easat-10606	20	18	-	-	PUNCT
easat-10606	20	19	measure	measure	NOUN
easat-10606	20	20	;	;	PUNCT
easat-10606	20	21	and	and	CCONJ
easat-10606	20	22	compared	compare	VERB
easat-10606	20	23	with	with	ADP
easat-10606	20	24	similar	similar	ADJ
easat-10606	20	25	models	model	NOUN
easat-10606	20	26	.	.	PUNCT
easat-10606	21	1	experimental	experimental	ADJ
easat-10606	21	2	results	result	NOUN
easat-10606	21	3	show	show	VERB
easat-10606	21	4	that	that	SCONJ
easat-10606	21	5	the	the	DET
easat-10606	21	6	four	four	NUM
easat-10606	21	7	base	base	NOUN
easat-10606	21	8	-	-	PUNCT
easat-10606	21	9	independent	independent	ADJ
easat-10606	21	10	algorithms	algorithm	NOUN
easat-10606	21	11	yield	yield	VERB
easat-10606	21	12	the	the	DET
easat-10606	21	13	following	follow	VERB
easat-10606	21	14	classification	classification	NOUN
easat-10606	21	15	accuracies	accuracy	NOUN
easat-10606	21	16	:	:	PUNCT
easat-10606	21	17	lr	lr	NOUN
easat-10606	21	18	algorithm	algorithm	NOUN
easat-10606	21	19	,	,	PUNCT
easat-10606	21	20	79.05	79.05	NUM
easat-10606	21	21	%	%	NOUN
easat-10606	21	22	;	;	PUNCT
easat-10606	21	23	svm	svm	PROPN
easat-10606	21	24	,	,	PUNCT
easat-10606	21	25	81.76	81.76	NUM
easat-10606	21	26	%	%	NOUN
easat-10606	21	27	;	;	PUNCT
easat-10606	21	28	mlp	mlp	PROPN
easat-10606	21	29	,	,	PUNCT
easat-10606	21	30	50.68	50.68	NUM
easat-10606	21	31	%	%	NOUN
easat-10606	21	32	;	;	PUNCT
easat-10606	21	33	and	and	CCONJ
easat-10606	21	34	multinomial	multinomial	ADJ
easat-10606	21	35	naïve	naïve	ADJ
easat-10606	21	36	bayes	bayes	NOUN
easat-10606	21	37	,	,	PUNCT
easat-10606	21	38	50.68	50.68	NUM
easat-10606	21	39	%	%	NOUN
easat-10606	21	40	.	.	PUNCT
easat-10606	22	1	these	these	DET
easat-10606	22	2	forecasts	forecast	NOUN
easat-10606	22	3	can	can	AUX
easat-10606	22	4	be	be	AUX
easat-10606	22	5	used	use	VERB
easat-10606	22	6	by	by	ADP
easat-10606	22	7	nigerian	nigerian	ADJ
easat-10606	22	8	public	public	ADJ
easat-10606	22	9	universities	university	NOUN
easat-10606	22	10	and	and	CCONJ
easat-10606	22	11	higher	high	ADJ
easat-10606	22	12	education	education	NOUN
easat-10606	22	13	institutions	institution	NOUN
easat-10606	22	14	to	to	PART
easat-10606	22	15	improve	improve	VERB
easat-10606	22	16	the	the	DET
easat-10606	22	17	educational	educational	ADJ
easat-10606	22	18	system	system	NOUN
easat-10606	22	19	and	and	CCONJ
easat-10606	22	20	assist	assist	VERB
easat-10606	22	21	students	student	NOUN
easat-10606	22	22	to	to	PART
easat-10606	22	23	receive	receive	VERB
easat-10606	22	24	a	a	DET
easat-10606	22	25	better	well	ADJ
easat-10606	22	26	and	and	CCONJ
easat-10606	22	27	quality	quality	NOUN
easat-10606	22	28	education	education	NOUN
easat-10606	22	29	.	.	PUNCT
easat-10606	23	1	keywords	keyword	NOUN
easat-10606	23	2	:	:	PUNCT
easat-10606	23	3	machine	machine	NOUN
easat-10606	23	4	learning	learning	NOUN
easat-10606	23	5	,	,	PUNCT
easat-10606	23	6	multilayer	multilayer	PROPN
easat-10606	23	7	perceptron	perceptron	PROPN
easat-10606	23	8	,	,	PUNCT
easat-10606	23	9	opinion	opinion	NOUN
easat-10606	23	10	mining	mining	NOUN
easat-10606	23	11	,	,	PUNCT
easat-10606	23	12	orientation	orientation	NOUN
easat-10606	23	13	,	,	PUNCT
easat-10606	23	14	qualitative	qualitative	ADJ
easat-10606	23	15	feedback	feedback	NOUN
easat-10606	23	16	,	,	PUNCT
easat-10606	23	17	student	student	NOUN
easat-10606	23	18	feedback	feedback	NOUN
easat-10606	23	19	.	.	PUNCT
easat-10606	24	1	1	1	X
easat-10606	24	2	.	.	X
easat-10606	24	3	introduction	introduction	NOUN
easat-10606	24	4	education	education	NOUN
easat-10606	24	5	is	be	AUX
easat-10606	24	6	a	a	DET
easat-10606	24	7	key	key	ADJ
easat-10606	24	8	indicator	indicator	NOUN
easat-10606	24	9	of	of	ADP
easat-10606	24	10	development	development	NOUN
easat-10606	24	11	and	and	CCONJ
easat-10606	24	12	a	a	DET
easat-10606	24	13	key	key	ADJ
easat-10606	24	14	contributor	contributor	NOUN
easat-10606	24	15	to	to	ADP
easat-10606	24	16	the	the	DET
easat-10606	24	17	well	well	ADV
easat-10606	24	18	-	-	PUNCT
easat-10606	24	19	being	being	NOUN
easat-10606	24	20	of	of	ADP
easat-10606	24	21	humans	human	NOUN
easat-10606	24	22	.	.	PUNCT
easat-10606	25	1	the	the	DET
easat-10606	25	2	united	united	PROPN
easat-10606	25	3	nations	nations	PROPN
easat-10606	25	4	sustainable	sustainable	ADJ
easat-10606	25	5	development	development	NOUN
easat-10606	25	6	goals	goal	NOUN
easat-10606	25	7	(	(	PUNCT
easat-10606	25	8	sdgs	sdgs	ADJ
easat-10606	25	9	)	)	PUNCT
easat-10606	25	10	,	,	PUNCT
easat-10606	25	11	established	establish	VERB
easat-10606	25	12	in	in	ADP
easat-10606	25	13	2015	2015	NUM
easat-10606	25	14	,	,	PUNCT
easat-10606	25	15	outline	outline	VERB
easat-10606	25	16	specific	specific	ADJ
easat-10606	25	17	guidelines	guideline	NOUN
easat-10606	25	18	for	for	ADP
easat-10606	25	19	enhancing	enhance	VERB
easat-10606	25	20	educational	educational	ADJ
easat-10606	25	21	standards	standard	NOUN
easat-10606	25	22	and	and	CCONJ
easat-10606	25	23	protecting	protect	VERB
easat-10606	25	24	children	child	NOUN
easat-10606	25	25	's	's	PART
easat-10606	25	26	welfare	welfare	NOUN
easat-10606	25	27	.	.	PUNCT
easat-10606	26	1	they	they	PRON
easat-10606	26	2	emphasize	emphasize	VERB
easat-10606	26	3	that	that	SCONJ
easat-10606	26	4	all	all	DET
easat-10606	26	5	individuals	individual	NOUN
easat-10606	26	6	should	should	AUX
easat-10606	26	7	have	have	VERB
easat-10606	26	8	access	access	NOUN
easat-10606	26	9	to	to	ADP
easat-10606	26	10	high	high	ADJ
easat-10606	26	11	-	-	PUNCT
easat-10606	26	12	quality	quality	NOUN
easat-10606	26	13	education	education	NOUN
easat-10606	26	14	and	and	CCONJ
easat-10606	26	15	opportunities	opportunity	NOUN
easat-10606	26	16	for	for	ADP
easat-10606	26	17	lifelong	lifelong	ADJ
easat-10606	26	18	learning	learning	NOUN
easat-10606	26	19	[	[	X
easat-10606	26	20	1	1	NUM
easat-10606	26	21	]	]	PUNCT
easat-10606	26	22	.	.	PUNCT
easat-10606	27	1	moreover	moreover	ADV
easat-10606	27	2	,	,	PUNCT
easat-10606	27	3	one	one	NUM
easat-10606	27	4	of	of	ADP
easat-10606	27	5	the	the	DET
easat-10606	27	6	essential	essential	ADJ
easat-10606	27	7	components	component	NOUN
easat-10606	27	8	of	of	ADP
easat-10606	27	9	the	the	DET
easat-10606	27	10	educational	educational	ADJ
easat-10606	27	11	system	system	NOUN
easat-10606	27	12	(	(	PUNCT
easat-10606	27	13	teaching	teaching	NOUN
easat-10606	27	14	and	and	CCONJ
easat-10606	27	15	learning	learning	NOUN
easat-10606	27	16	)	)	PUNCT
easat-10606	27	17	is	be	AUX
easat-10606	27	18	students	student	NOUN
easat-10606	27	19	'	'	PART
easat-10606	27	20	academic	academic	ADJ
easat-10606	27	21	success	success	NOUN
easat-10606	27	22	as	as	ADV
easat-10606	27	23	well	well	ADV
easat-10606	27	24	as	as	ADP
easat-10606	27	25	the	the	DET
easat-10606	27	26	quality	quality	NOUN
easat-10606	27	27	of	of	ADP
easat-10606	27	28	education	education	NOUN
easat-10606	27	29	,	,	PUNCT
easat-10606	27	30	which	which	PRON
easat-10606	27	31	indeed	indeed	ADV
easat-10606	27	32	is	be	AUX
easat-10606	27	33	the	the	DET
easat-10606	27	34	fourth	fourth	ADJ
easat-10606	27	35	of	of	ADP
easat-10606	27	36	the	the	DET
easat-10606	27	37	un	un	PROPN
easat-10606	27	38	's	's	PART
easat-10606	27	39	17	17	NUM
easat-10606	27	40	sustainable	sustainable	ADJ
easat-10606	27	41	development	development	NOUN
easat-10606	27	42	goals	goal	NOUN
easat-10606	27	43	(	(	PUNCT
easat-10606	27	44	sdgs	sdgs	ADJ
easat-10606	27	45	)	)	PUNCT
easat-10606	27	46	.	.	PUNCT
easat-10606	28	1	therefore	therefore	ADV
easat-10606	28	2	,	,	PUNCT
easat-10606	28	3	quality	quality	NOUN
easat-10606	28	4	is	be	AUX
easat-10606	28	5	without	without	ADP
easat-10606	28	6	a	a	DET
easat-10606	28	7	doubt	doubt	NOUN
easat-10606	28	8	a	a	DET
easat-10606	28	9	great	great	ADJ
easat-10606	28	10	concern	concern	NOUN
easat-10606	28	11	for	for	ADP
easat-10606	28	12	the	the	DET
easat-10606	28	13	global	global	ADJ
easat-10606	28	14	community	community	NOUN
easat-10606	28	15	's	's	PART
easat-10606	28	16	governments	government	NOUN
easat-10606	28	17	,	,	PUNCT
easat-10606	28	18	businesses	business	NOUN
easat-10606	28	19	,	,	PUNCT
easat-10606	28	20	civil	civil	ADJ
easat-10606	28	21	society	society	NOUN
easat-10606	28	22	,	,	PUNCT
easat-10606	28	23	higher	high	ADJ
easat-10606	28	24	education	education	NOUN
easat-10606	28	25	institutions	institution	NOUN
easat-10606	28	26	(	(	PUNCT
easat-10606	28	27	heis	heis	PROPN
easat-10606	28	28	)	)	PUNCT
easat-10606	28	29	,	,	PUNCT
easat-10606	28	30	and	and	CCONJ
easat-10606	28	31	government	government	NOUN
easat-10606	28	32	agencies	agency	NOUN
easat-10606	28	33	[	[	X
easat-10606	28	34	2	2	NUM
easat-10606	28	35	-	-	SYM
easat-10606	28	36	4	4	NUM
easat-10606	28	37	]	]	PUNCT
easat-10606	28	38	.	.	PUNCT
easat-10606	29	1	https://orcid.org/0000-0002-9664-5086	https://orcid.org/0000-0002-9664-5086	PROPN
easat-10606	30	1	https://orcid.org/0000-0002-2669-814x	https://orcid.org/0000-0002-2669-814x	PROPN
easat-10606	31	1	https://orcid.org/0000-0002-2728-0116	https://orcid.org/0000-0002-2728-0116	INTJ
easat-10606	31	2	https://orcid.org/0000-0002-0815-7139	https://orcid.org/0000-0002-0815-7139	INTJ
easat-10606	31	3	https://orcid.org/0000-0002-3693-7255	https://orcid.org/0000-0002-3693-7255	VERB
easat-10606	31	4	https://orcid.org/0000-0002-8034-1045	https://orcid.org/0000-0002-8034-1045	PROPN
easat-10606	31	5	1150	1150	NUM
easat-10606	31	6	edelweiss	edelweiss	PROPN
easat-10606	31	7	applied	apply	VERB
easat-10606	31	8	science	science	NOUN
easat-10606	31	9	and	and	CCONJ
easat-10606	31	10	technology	technology	NOUN
easat-10606	31	11	issn	issn	PROPN
easat-10606	31	12	:	:	PUNCT
easat-10606	31	13	2576	2576	NUM
easat-10606	31	14	-	-	SYM
easat-10606	31	15	8484	8484	NUM
easat-10606	31	16	vol	vol	NOUN
easat-10606	31	17	.	.	PROPN
easat-10606	32	1	9	9	NUM
easat-10606	32	2	,	,	PUNCT
easat-10606	32	3	no	no	INTJ
easat-10606	32	4	.	.	NOUN
easat-10606	32	5	10	10	NUM
easat-10606	32	6	:	:	SYM
easat-10606	32	7	1149	1149	NUM
easat-10606	32	8	-	-	SYM
easat-10606	32	9	1180	1180	NUM
easat-10606	32	10	,	,	PUNCT
easat-10606	32	11	2025	2025	NUM
easat-10606	32	12	doi	doi	NOUN
easat-10606	32	13	:	:	PUNCT
easat-10606	32	14	10.55214/2576	10.55214/2576	NUM
easat-10606	32	15	-	-	SYM
easat-10606	32	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	32	17	©	©	ADP
easat-10606	32	18	2025	2025	NUM
easat-10606	32	19	by	by	ADP
easat-10606	32	20	the	the	DET
easat-10606	32	21	authors	author	NOUN
easat-10606	32	22	;	;	PUNCT
easat-10606	32	23	licensee	licensee	PROPN
easat-10606	32	24	learning	learning	NOUN
easat-10606	32	25	gate	gate	NOUN
easat-10606	32	26	over	over	ADP
easat-10606	32	27	the	the	DET
easat-10606	32	28	last	last	ADJ
easat-10606	32	29	four	four	NUM
easat-10606	32	30	decades	decade	NOUN
easat-10606	32	31	,	,	PUNCT
easat-10606	32	32	a	a	DET
easat-10606	32	33	much	much	ADV
easat-10606	32	34	-	-	PUNCT
easat-10606	32	35	debated	debate	VERB
easat-10606	32	36	and	and	CCONJ
easat-10606	32	37	researched	research	VERB
easat-10606	32	38	topic	topic	NOUN
easat-10606	32	39	has	have	AUX
easat-10606	32	40	been	be	AUX
easat-10606	32	41	the	the	DET
easat-10606	32	42	role	role	NOUN
easat-10606	32	43	of	of	ADP
easat-10606	32	44	student	student	NOUN
easat-10606	32	45	feedback	feedback	NOUN
easat-10606	32	46	and	and	CCONJ
easat-10606	32	47	assessment	assessment	NOUN
easat-10606	32	48	in	in	ADP
easat-10606	32	49	improving	improve	VERB
easat-10606	32	50	learning	learning	NOUN
easat-10606	32	51	and	and	CCONJ
easat-10606	32	52	teaching	teach	VERB
easat-10606	32	53	quality	quality	NOUN
easat-10606	32	54	.	.	PUNCT
easat-10606	33	1	the	the	DET
easat-10606	33	2	relevance	relevance	NOUN
easat-10606	33	3	of	of	ADP
easat-10606	33	4	assessment	assessment	NOUN
easat-10606	33	5	and	and	CCONJ
easat-10606	33	6	feedback	feedback	NOUN
easat-10606	33	7	has	have	AUX
easat-10606	33	8	increased	increase	VERB
easat-10606	33	9	.	.	PUNCT
easat-10606	34	1	significantly	significantly	ADV
easat-10606	34	2	,	,	PUNCT
easat-10606	34	3	these	these	DET
easat-10606	34	4	elements	element	NOUN
easat-10606	34	5	are	be	AUX
easat-10606	34	6	now	now	ADV
easat-10606	34	7	recognized	recognize	VERB
easat-10606	34	8	as	as	ADP
easat-10606	34	9	crucial	crucial	ADJ
easat-10606	34	10	to	to	PART
easat-10606	34	11	student	student	NOUN
easat-10606	34	12	happiness	happiness	NOUN
easat-10606	34	13	,	,	PUNCT
easat-10606	34	14	which	which	PRON
easat-10606	34	15	in	in	ADP
easat-10606	34	16	turn	turn	NOUN
easat-10606	34	17	promotes	promote	VERB
easat-10606	34	18	increased	increase	VERB
easat-10606	34	19	motivation	motivation	NOUN
easat-10606	34	20	for	for	ADP
easat-10606	34	21	academic	academic	ADJ
easat-10606	34	22	success	success	NOUN
easat-10606	34	23	and	and	CCONJ
easat-10606	34	24	ultimately	ultimately	ADV
easat-10606	34	25	academic	academic	ADJ
easat-10606	34	26	advancement	advancement	NOUN
easat-10606	35	1	[	[	X
easat-10606	35	2	5	5	NUM
easat-10606	35	3	]	]	PUNCT
easat-10606	35	4	.	.	PUNCT
easat-10606	36	1	feedback	feedback	NOUN
easat-10606	36	2	is	be	AUX
easat-10606	36	3	one	one	NUM
easat-10606	36	4	of	of	ADP
easat-10606	36	5	the	the	DET
easat-10606	36	6	most	most	ADV
easat-10606	36	7	important	important	ADJ
easat-10606	36	8	interventions	intervention	NOUN
easat-10606	36	9	in	in	ADP
easat-10606	36	10	learning	learning	NOUN
easat-10606	36	11	and	and	CCONJ
easat-10606	36	12	education	education	NOUN
easat-10606	36	13	[	[	X
easat-10606	36	14	6	6	NUM
easat-10606	36	15	]	]	PUNCT
easat-10606	36	16	.	.	PUNCT
easat-10606	37	1	feedback	feedback	NOUN
easat-10606	37	2	can	can	AUX
easat-10606	37	3	be	be	AUX
easat-10606	37	4	conceptualised	conceptualise	VERB
easat-10606	37	5	as	as	ADP
easat-10606	37	6	the	the	DET
easat-10606	37	7	crucial	crucial	ADJ
easat-10606	37	8	link	link	NOUN
easat-10606	37	9	between	between	ADP
easat-10606	37	10	teaching	teaching	NOUN
easat-10606	37	11	and	and	CCONJ
easat-10606	37	12	learning	learn	VERB
easat-10606	37	13	[	[	X
easat-10606	37	14	7	7	NUM
easat-10606	37	15	]	]	PUNCT
easat-10606	37	16	.	.	PUNCT
easat-10606	38	1	in	in	ADP
easat-10606	38	2	other	other	ADJ
easat-10606	38	3	words	word	NOUN
easat-10606	38	4	,	,	PUNCT
easat-10606	38	5	lawal	lawal	PROPN
easat-10606	38	6	et	et	PROPN
easat-10606	38	7	al	al	PROPN
easat-10606	38	8	.	.	PUNCT
easat-10606	39	1	[	[	X
easat-10606	39	2	8	8	NUM
easat-10606	39	3	]	]	PUNCT
easat-10606	39	4	defined	define	VERB
easat-10606	39	5	feedback	feedback	NOUN
easat-10606	39	6	in	in	ADP
easat-10606	39	7	education	education	NOUN
easat-10606	39	8	as	as	ADP
easat-10606	39	9	a	a	DET
easat-10606	39	10	type	type	NOUN
easat-10606	39	11	of	of	ADP
easat-10606	39	12	learning	learning	NOUN
easat-10606	39	13	that	that	PRON
easat-10606	39	14	is	be	AUX
easat-10606	39	15	usually	usually	ADV
easat-10606	39	16	conducted	conduct	VERB
easat-10606	39	17	through	through	ADP
easat-10606	39	18	assessment	assessment	NOUN
easat-10606	39	19	.	.	PUNCT
easat-10606	40	1	but	but	CCONJ
easat-10606	40	2	harvey	harvey	NOUN
easat-10606	41	1	[	[	X
easat-10606	41	2	9	9	NUM
easat-10606	41	3	]	]	PUNCT
easat-10606	41	4	in	in	ADP
easat-10606	41	5	his	his	PRON
easat-10606	41	6	definition	definition	NOUN
easat-10606	41	7	,	,	PUNCT
easat-10606	41	8	describes	describe	VERB
easat-10606	41	9	feedback	feedback	NOUN
easat-10606	41	10	as	as	ADP
easat-10606	41	11	"	"	PUNCT
easat-10606	41	12	the	the	DET
easat-10606	41	13	expressed	express	VERB
easat-10606	41	14	opinions	opinion	NOUN
easat-10606	41	15	of	of	ADP
easat-10606	41	16	students	student	NOUN
easat-10606	41	17	about	about	ADP
easat-10606	41	18	the	the	DET
easat-10606	41	19	service	service	NOUN
easat-10606	41	20	received	receive	VERB
easat-10606	41	21	by	by	ADP
easat-10606	41	22	the	the	DET
easat-10606	41	23	students	student	NOUN
easat-10606	41	24	.	.	PUNCT
easat-10606	41	25	"	"	PUNCT
easat-10606	42	1	moreover	moreover	ADV
easat-10606	42	2	,	,	PUNCT
easat-10606	42	3	feedback	feedback	NOUN
easat-10606	42	4	is	be	AUX
easat-10606	42	5	an	an	DET
easat-10606	42	6	essential	essential	ADJ
easat-10606	42	7	component	component	NOUN
easat-10606	42	8	of	of	ADP
easat-10606	42	9	assessment	assessment	NOUN
easat-10606	42	10	for	for	ADP
easat-10606	42	11	learning	learning	NOUN
easat-10606	42	12	,	,	PUNCT
easat-10606	42	13	which	which	PRON
easat-10606	42	14	,	,	PUNCT
easat-10606	42	15	if	if	SCONJ
easat-10606	42	16	used	use	VERB
easat-10606	42	17	appropriately	appropriately	ADV
easat-10606	42	18	,	,	PUNCT
easat-10606	42	19	can	can	AUX
easat-10606	42	20	support	support	VERB
easat-10606	42	21	students	student	NOUN
easat-10606	42	22	'	'	PART
easat-10606	42	23	learning	learning	NOUN
easat-10606	42	24	and	and	CCONJ
easat-10606	42	25	lead	lead	VERB
easat-10606	42	26	to	to	ADP
easat-10606	42	27	substantial	substantial	ADJ
easat-10606	42	28	learning	learning	NOUN
easat-10606	42	29	gains	gain	NOUN
easat-10606	42	30	.	.	PUNCT
easat-10606	43	1	likewise	likewise	ADV
easat-10606	43	2	,	,	PUNCT
easat-10606	43	3	if	if	SCONJ
easat-10606	43	4	done	do	VERB
easat-10606	43	5	as	as	SCONJ
easat-10606	43	6	required	require	VERB
easat-10606	43	7	,	,	PUNCT
easat-10606	43	8	teachers	teacher	NOUN
easat-10606	43	9	and	and	CCONJ
easat-10606	43	10	learners	learner	NOUN
easat-10606	43	11	work	work	VERB
easat-10606	43	12	in	in	ADP
easat-10606	43	13	partnership	partnership	NOUN
easat-10606	43	14	to	to	PART
easat-10606	43	15	aid	aid	NOUN
easat-10606	43	16	improvement	improvement	NOUN
easat-10606	43	17	.	.	PUNCT
easat-10606	44	1	this	this	PRON
easat-10606	44	2	,	,	PUNCT
easat-10606	44	3	in	in	ADP
easat-10606	44	4	turn	turn	NOUN
easat-10606	44	5	,	,	PUNCT
easat-10606	44	6	implies	imply	VERB
easat-10606	44	7	that	that	DET
easat-10606	44	8	assessment	assessment	NOUN
easat-10606	44	9	in	in	ADP
easat-10606	44	10	the	the	DET
easat-10606	44	11	teaching	teaching	NOUN
easat-10606	44	12	process	process	NOUN
easat-10606	44	13	has	have	AUX
easat-10606	44	14	come	come	VERB
easat-10606	44	15	a	a	DET
easat-10606	44	16	long	long	ADJ
easat-10606	44	17	way	way	NOUN
easat-10606	44	18	,	,	PUNCT
easat-10606	44	19	and	and	CCONJ
easat-10606	44	20	its	its	PRON
easat-10606	44	21	effect	effect	NOUN
easat-10606	44	22	reflects	reflect	VERB
easat-10606	44	23	on	on	ADP
easat-10606	44	24	both	both	DET
easat-10606	44	25	learners	learner	NOUN
easat-10606	44	26	and	and	CCONJ
easat-10606	44	27	teachers	teacher	NOUN
easat-10606	44	28	.	.	PUNCT
easat-10606	45	1	feedback	feedback	NOUN
easat-10606	45	2	is	be	AUX
easat-10606	45	3	a	a	DET
easat-10606	45	4	type	type	NOUN
easat-10606	45	5	of	of	ADP
easat-10606	45	6	embedded	embed	VERB
easat-10606	45	7	assessment	assessment	NOUN
easat-10606	45	8	.	.	PUNCT
easat-10606	46	1	in	in	ADP
easat-10606	46	2	education	education	NOUN
easat-10606	46	3	,	,	PUNCT
easat-10606	46	4	assessments	assessment	NOUN
easat-10606	46	5	are	be	AUX
easat-10606	46	6	used	use	VERB
easat-10606	46	7	to	to	PART
easat-10606	46	8	collect	collect	VERB
easat-10606	46	9	information	information	NOUN
easat-10606	46	10	about	about	ADP
easat-10606	46	11	student	student	NOUN
easat-10606	46	12	learning	learning	NOUN
easat-10606	46	13	and	and	CCONJ
easat-10606	46	14	achievement	achievement	NOUN
easat-10606	46	15	.	.	PUNCT
easat-10606	47	1	they	they	PRON
easat-10606	47	2	can	can	AUX
easat-10606	47	3	be	be	AUX
easat-10606	47	4	formative	formative	ADJ
easat-10606	47	5	or	or	CCONJ
easat-10606	47	6	summative	summative	ADJ
easat-10606	47	7	,	,	PUNCT
easat-10606	47	8	quantitative	quantitative	ADJ
easat-10606	47	9	or	or	CCONJ
easat-10606	47	10	qualitative	qualitative	VERB
easat-10606	47	11	[	[	X
easat-10606	47	12	10	10	NUM
easat-10606	47	13	]	]	PUNCT
easat-10606	47	14	.	.	PUNCT
easat-10606	48	1	feedback	feedback	NOUN
easat-10606	48	2	falls	fall	VERB
easat-10606	48	3	under	under	ADP
easat-10606	48	4	the	the	DET
easat-10606	48	5	formative	formative	ADJ
easat-10606	48	6	type	type	NOUN
easat-10606	48	7	of	of	ADP
easat-10606	48	8	assessment	assessment	NOUN
easat-10606	48	9	.	.	PUNCT
easat-10606	49	1	it	it	PRON
easat-10606	49	2	can	can	AUX
easat-10606	49	3	be	be	AUX
easat-10606	49	4	a	a	DET
easat-10606	49	5	student	student	NOUN
easat-10606	49	6	giving	give	VERB
easat-10606	49	7	feedback	feedback	NOUN
easat-10606	49	8	about	about	ADP
easat-10606	49	9	a	a	DET
easat-10606	49	10	teacher	teacher	NOUN
easat-10606	49	11	or	or	CCONJ
easat-10606	49	12	vice	vice	NOUN
easat-10606	49	13	versa	versa	ADV
easat-10606	49	14	.	.	PUNCT
easat-10606	50	1	the	the	DET
easat-10606	50	2	latter	latter	ADJ
easat-10606	50	3	type	type	NOUN
easat-10606	50	4	of	of	ADP
easat-10606	50	5	assessment	assessment	NOUN
easat-10606	50	6	(	(	PUNCT
easat-10606	50	7	summative	summative	ADJ
easat-10606	50	8	)	)	PUNCT
easat-10606	50	9	is	be	AUX
easat-10606	50	10	concerned	concern	VERB
easat-10606	50	11	with	with	ADP
easat-10606	50	12	summarizing	summarize	VERB
easat-10606	50	13	students	student	NOUN
easat-10606	50	14	'	'	PART
easat-10606	50	15	achievement	achievement	NOUN
easat-10606	50	16	status	status	NOUN
easat-10606	50	17	,	,	PUNCT
easat-10606	50	18	while	while	SCONJ
easat-10606	50	19	the	the	DET
easat-10606	50	20	former	former	ADJ
easat-10606	50	21	(	(	PUNCT
easat-10606	50	22	formative	formative	ADJ
easat-10606	50	23	)	)	PUNCT
easat-10606	50	24	is	be	AUX
easat-10606	50	25	referred	refer	VERB
easat-10606	50	26	to	to	ADP
easat-10606	50	27	as	as	ADP
easat-10606	50	28	a	a	DET
easat-10606	50	29	process	process	NOUN
easat-10606	50	30	rather	rather	ADV
easat-10606	50	31	than	than	ADP
easat-10606	50	32	a	a	DET
easat-10606	50	33	test	test	NOUN
easat-10606	50	34	to	to	PART
easat-10606	50	35	continuously	continuously	ADV
easat-10606	50	36	monitor	monitor	VERB
easat-10606	50	37	,	,	PUNCT
easat-10606	50	38	provide	provide	VERB
easat-10606	50	39	feedback	feedback	NOUN
easat-10606	50	40	,	,	PUNCT
easat-10606	50	41	and	and	CCONJ
easat-10606	50	42	respond	respond	VERB
easat-10606	50	43	to	to	ADP
easat-10606	50	44	student	student	NOUN
easat-10606	50	45	learning	learn	VERB
easat-10606	50	46	progress	progress	NOUN
easat-10606	51	1	[	[	X
easat-10606	51	2	11	11	NUM
easat-10606	51	3	]	]	PUNCT
easat-10606	51	4	.	.	PUNCT
easat-10606	52	1	in	in	ADP
easat-10606	52	2	other	other	ADJ
easat-10606	52	3	words	word	NOUN
easat-10606	52	4	,	,	PUNCT
easat-10606	52	5	formative	formative	ADJ
easat-10606	52	6	assessment	assessment	NOUN
easat-10606	52	7	is	be	AUX
easat-10606	52	8	concerned	concern	VERB
easat-10606	52	9	with	with	ADP
easat-10606	52	10	how	how	SCONJ
easat-10606	52	11	judgment	judgment	NOUN
easat-10606	52	12	is	be	AUX
easat-10606	52	13	obtained	obtain	VERB
easat-10606	52	14	from	from	ADP
easat-10606	52	15	the	the	DET
easat-10606	52	16	quality	quality	NOUN
easat-10606	52	17	of	of	ADP
easat-10606	52	18	student	student	NOUN
easat-10606	52	19	responses	response	NOUN
easat-10606	52	20	,	,	PUNCT
easat-10606	52	21	which	which	PRON
easat-10606	52	22	can	can	AUX
easat-10606	52	23	be	be	AUX
easat-10606	52	24	used	use	VERB
easat-10606	52	25	to	to	PART
easat-10606	52	26	sharpen	sharpen	VERB
easat-10606	52	27	their	their	PRON
easat-10606	52	28	competence	competence	NOUN
easat-10606	52	29	and	and	CCONJ
easat-10606	52	30	generate	generate	VERB
easat-10606	52	31	results	result	NOUN
easat-10606	52	32	in	in	ADP
easat-10606	52	33	performance	performance	NOUN
easat-10606	52	34	to	to	PART
easat-10606	52	35	improve	improve	VERB
easat-10606	52	36	and	and	CCONJ
easat-10606	52	37	accelerate	accelerate	VERB
easat-10606	52	38	learning	learning	NOUN
easat-10606	52	39	.	.	PUNCT
easat-10606	53	1	moreover	moreover	ADV
easat-10606	53	2	,	,	PUNCT
easat-10606	53	3	feedback	feedback	NOUN
easat-10606	53	4	is	be	AUX
easat-10606	53	5	widely	widely	ADV
easat-10606	53	6	considered	consider	VERB
easat-10606	53	7	for	for	ADP
easat-10606	53	8	several	several	ADJ
easat-10606	53	9	benefits	benefit	NOUN
easat-10606	53	10	.	.	PUNCT
easat-10606	54	1	the	the	DET
easat-10606	54	2	integration	integration	NOUN
easat-10606	54	3	of	of	ADP
easat-10606	54	4	student	student	NOUN
easat-10606	54	5	feedback	feedback	NOUN
easat-10606	54	6	into	into	ADP
easat-10606	54	7	higher	high	ADJ
easat-10606	54	8	educational	educational	ADJ
easat-10606	54	9	institutions	institution	NOUN
easat-10606	54	10	(	(	PUNCT
easat-10606	54	11	hei	hei	PROPN
easat-10606	54	12	)	)	PUNCT
easat-10606	54	13	and	and	CCONJ
easat-10606	54	14	their	their	PRON
easat-10606	54	15	quality	quality	NOUN
easat-10606	54	16	assurance	assurance	NOUN
easat-10606	54	17	processes	process	NOUN
easat-10606	54	18	is	be	AUX
easat-10606	54	19	becoming	become	VERB
easat-10606	54	20	increasingly	increasingly	ADV
easat-10606	54	21	crucial	crucial	ADJ
easat-10606	54	22	.	.	PUNCT
easat-10606	55	1	the	the	DET
easat-10606	55	2	quality	quality	NOUN
easat-10606	55	3	of	of	ADP
easat-10606	55	4	courses	course	NOUN
easat-10606	55	5	,	,	PUNCT
easat-10606	55	6	as	as	ADV
easat-10606	55	7	well	well	ADV
easat-10606	55	8	as	as	ADP
easat-10606	55	9	the	the	DET
easat-10606	55	10	practices	practice	NOUN
easat-10606	55	11	,	,	PUNCT
easat-10606	55	12	techniques	technique	NOUN
easat-10606	55	13	,	,	PUNCT
easat-10606	55	14	and	and	CCONJ
easat-10606	55	15	resources	resource	NOUN
easat-10606	55	16	used	use	VERB
easat-10606	55	17	in	in	ADP
easat-10606	55	18	the	the	DET
easat-10606	55	19	classroom	classroom	NOUN
easat-10606	55	20	and	and	CCONJ
easat-10606	55	21	laboratory	laboratory	NOUN
easat-10606	55	22	,	,	PUNCT
easat-10606	55	23	can	can	AUX
easat-10606	55	24	be	be	AUX
easat-10606	55	25	improved	improve	VERB
easat-10606	55	26	with	with	ADP
easat-10606	55	27	the	the	DET
easat-10606	55	28	help	help	NOUN
easat-10606	55	29	of	of	ADP
easat-10606	55	30	student	student	NOUN
easat-10606	55	31	feedback	feedback	NOUN
easat-10606	55	32	.	.	PUNCT
easat-10606	56	1	additionally	additionally	ADV
easat-10606	56	2	,	,	PUNCT
easat-10606	56	3	student	student	NOUN
easat-10606	56	4	comments	comment	NOUN
easat-10606	56	5	can	can	AUX
easat-10606	56	6	boost	boost	VERB
easat-10606	56	7	an	an	DET
easat-10606	56	8	institution	institution	NOUN
easat-10606	56	9	's	's	PART
easat-10606	56	10	reputation	reputation	NOUN
easat-10606	56	11	in	in	ADP
easat-10606	56	12	the	the	DET
easat-10606	56	13	competitive	competitive	ADJ
easat-10606	56	14	global	global	ADJ
easat-10606	56	15	education	education	NOUN
easat-10606	56	16	market	market	NOUN
easat-10606	56	17	.	.	PUNCT
easat-10606	57	1	because	because	SCONJ
easat-10606	57	2	of	of	ADP
easat-10606	57	3	this	this	PRON
easat-10606	57	4	,	,	PUNCT
easat-10606	57	5	nair	nair	PROPN
easat-10606	57	6	et	et	PROPN
easat-10606	57	7	al	al	PROPN
easat-10606	57	8	.	.	PUNCT
easat-10606	58	1	[	[	X
easat-10606	58	2	12	12	NUM
easat-10606	58	3	]	]	PUNCT
easat-10606	58	4	emphasized	emphasize	VERB
easat-10606	58	5	the	the	DET
easat-10606	58	6	importance	importance	NOUN
easat-10606	58	7	of	of	ADP
easat-10606	58	8	monitoring	monitor	VERB
easat-10606	58	9	and	and	CCONJ
easat-10606	58	10	reflecting	reflect	VERB
easat-10606	58	11	upon	upon	SCONJ
easat-10606	58	12	the	the	DET
easat-10606	58	13	full	full	ADJ
easat-10606	58	14	spectrum	spectrum	NOUN
easat-10606	58	15	of	of	ADP
easat-10606	58	16	student	student	NOUN
easat-10606	58	17	feedback	feedback	NOUN
easat-10606	58	18	to	to	PART
easat-10606	58	19	devise	devise	VERB
easat-10606	58	20	and	and	CCONJ
easat-10606	58	21	implement	implement	VERB
easat-10606	58	22	the	the	DET
easat-10606	58	23	best	good	ADJ
easat-10606	58	24	quality	quality	NOUN
easat-10606	58	25	assurance	assurance	NOUN
easat-10606	58	26	mechanism	mechanism	NOUN
easat-10606	58	27	in	in	ADP
easat-10606	58	28	engineering	engineering	NOUN
easat-10606	58	29	education	education	NOUN
easat-10606	58	30	.	.	PUNCT
easat-10606	59	1	in	in	ADP
easat-10606	59	2	the	the	DET
easat-10606	59	3	same	same	ADJ
easat-10606	59	4	vein	vein	NOUN
easat-10606	59	5	,	,	PUNCT
easat-10606	59	6	alade	alade	NOUN
easat-10606	59	7	and	and	CCONJ
easat-10606	59	8	nwankpa	nwankpa	ADJ
easat-10606	59	9	[	[	X
easat-10606	59	10	13	13	NUM
easat-10606	59	11	]	]	PUNCT
easat-10606	59	12	stated	state	VERB
easat-10606	59	13	that	that	SCONJ
easat-10606	59	14	educational	educational	ADJ
easat-10606	59	15	institutions	institution	NOUN
easat-10606	59	16	have	have	AUX
easat-10606	59	17	long	long	ADV
easat-10606	59	18	worked	work	VERB
easat-10606	59	19	to	to	PART
easat-10606	59	20	raise	raise	VERB
easat-10606	59	21	the	the	DET
easat-10606	59	22	standards	standard	NOUN
easat-10606	59	23	of	of	ADP
easat-10606	59	24	both	both	DET
easat-10606	59	25	student	student	NOUN
easat-10606	59	26	education	education	NOUN
easat-10606	59	27	and	and	CCONJ
easat-10606	59	28	education	education	NOUN
easat-10606	59	29	in	in	ADP
easat-10606	59	30	general	general	ADJ
easat-10606	59	31	.	.	PUNCT
easat-10606	60	1	however	however	ADV
easat-10606	60	2	,	,	PUNCT
easat-10606	60	3	most	most	ADJ
easat-10606	60	4	existing	exist	VERB
easat-10606	60	5	feedback	feedback	NOUN
easat-10606	60	6	systems	system	NOUN
easat-10606	60	7	on	on	ADP
easat-10606	60	8	learning	learn	VERB
easat-10606	60	9	,	,	PUNCT
easat-10606	60	10	according	accord	VERB
easat-10606	60	11	to	to	ADP
easat-10606	60	12	foltz	foltz	NOUN
easat-10606	60	13	and	and	CCONJ
easat-10606	60	14	rosenstein	rosenstein	VERB
easat-10606	60	15	[	[	X
easat-10606	60	16	14	14	NUM
easat-10606	60	17	]	]	PUNCT
easat-10606	60	18	,	,	PUNCT
easat-10606	60	19	are	be	AUX
easat-10606	60	20	focused	focus	VERB
easat-10606	60	21	on	on	ADP
easat-10606	60	22	improving	improve	VERB
easat-10606	60	23	student	student	NOUN
easat-10606	60	24	writing	writing	NOUN
easat-10606	60	25	skills	skill	NOUN
easat-10606	60	26	rather	rather	ADV
easat-10606	60	27	than	than	ADP
easat-10606	60	28	the	the	DET
easat-10606	60	29	knowledge	knowledge	NOUN
easat-10606	60	30	development	development	NOUN
easat-10606	60	31	process	process	NOUN
easat-10606	60	32	.	.	PUNCT
easat-10606	61	1	in	in	ADP
easat-10606	61	2	the	the	DET
easat-10606	61	3	same	same	ADJ
easat-10606	61	4	vein	vein	NOUN
easat-10606	61	5	,	,	PUNCT
easat-10606	61	6	student	student	NOUN
easat-10606	61	7	feedback	feedback	NOUN
easat-10606	61	8	allows	allow	VERB
easat-10606	61	9	teachers	teacher	NOUN
easat-10606	61	10	to	to	PART
easat-10606	61	11	understand	understand	VERB
easat-10606	61	12	students	student	NOUN
easat-10606	61	13	'	'	PART
easat-10606	61	14	learning	learn	VERB
easat-10606	61	15	behavior	behavior	NOUN
easat-10606	61	16	and	and	CCONJ
easat-10606	61	17	improve	improve	VERB
easat-10606	61	18	education	education	NOUN
easat-10606	61	19	.	.	PUNCT
easat-10606	62	1	it	it	PRON
easat-10606	62	2	enables	enable	VERB
easat-10606	62	3	students	student	NOUN
easat-10606	62	4	to	to	PART
easat-10606	62	5	highlight	highlight	VERB
easat-10606	62	6	issues	issue	NOUN
easat-10606	62	7	that	that	PRON
easat-10606	62	8	may	may	AUX
easat-10606	62	9	differ	differ	VERB
easat-10606	62	10	from	from	ADP
easat-10606	62	11	their	their	PRON
easat-10606	62	12	lecturer	lecturer	NOUN
easat-10606	62	13	's	's	PART
easat-10606	62	14	view	view	NOUN
easat-10606	62	15	.	.	PUNCT
easat-10606	63	1	this	this	PRON
easat-10606	63	2	occurs	occur	VERB
easat-10606	63	3	when	when	SCONJ
easat-10606	63	4	students	student	NOUN
easat-10606	63	5	do	do	AUX
easat-10606	63	6	not	not	PART
easat-10606	63	7	understand	understand	VERB
easat-10606	63	8	some	some	PRON
easat-10606	63	9	of	of	ADP
easat-10606	63	10	the	the	DET
easat-10606	63	11	lectures	lecture	NOUN
easat-10606	63	12	or	or	CCONJ
easat-10606	63	13	instances	instance	NOUN
easat-10606	63	14	,	,	PUNCT
easat-10606	63	15	or	or	CCONJ
easat-10606	63	16	when	when	SCONJ
easat-10606	63	17	the	the	DET
easat-10606	63	18	instruction	instruction	NOUN
easat-10606	63	19	is	be	AUX
easat-10606	63	20	too	too	ADV
easat-10606	63	21	fast	fast	ADJ
easat-10606	63	22	or	or	CCONJ
easat-10606	63	23	too	too	ADV
easat-10606	63	24	slow	slow	ADJ
easat-10606	63	25	.	.	PUNCT
easat-10606	64	1	feedback	feedback	NOUN
easat-10606	64	2	is	be	AUX
easat-10606	64	3	usually	usually	ADV
easat-10606	64	4	collected	collect	VERB
easat-10606	64	5	,	,	PUNCT
easat-10606	64	6	and	and	CCONJ
easat-10606	64	7	the	the	DET
easat-10606	64	8	end	end	NOUN
easat-10606	64	9	unit	unit	NOUN
easat-10606	64	10	is	be	AUX
easat-10606	64	11	more	more	ADV
easat-10606	64	12	beneficial	beneficial	ADJ
easat-10606	64	13	in	in	ADP
easat-10606	64	14	real	real	ADJ
easat-10606	64	15	time	time	NOUN
easat-10606	65	1	[	[	X
easat-10606	65	2	15	15	NUM
easat-10606	65	3	]	]	PUNCT
easat-10606	65	4	.	.	PUNCT
easat-10606	66	1	this	this	PRON
easat-10606	66	2	is	be	AUX
easat-10606	66	3	an	an	DET
easat-10606	66	4	entity	entity	NOUN
easat-10606	66	5	about	about	ADP
easat-10606	66	6	past	past	ADJ
easat-10606	66	7	behaviour	behaviour	NOUN
easat-10606	66	8	from	from	ADP
easat-10606	66	9	the	the	DET
easat-10606	66	10	statement	statement	NOUN
easat-10606	66	11	to	to	PART
easat-10606	66	12	analyze	analyze	VERB
easat-10606	66	13	the	the	DET
easat-10606	66	14	future	future	NOUN
easat-10606	66	15	and	and	CCONJ
easat-10606	66	16	current	current	ADJ
easat-10606	66	17	behaviour	behaviour	NOUN
easat-10606	66	18	to	to	PART
easat-10606	66	19	achieve	achieve	VERB
easat-10606	66	20	the	the	DET
easat-10606	66	21	desired	desire	VERB
easat-10606	66	22	result	result	NOUN
easat-10606	66	23	.	.	PUNCT
easat-10606	67	1	it	it	PRON
easat-10606	67	2	allows	allow	VERB
easat-10606	67	3	us	we	PRON
easat-10606	67	4	to	to	PART
easat-10606	67	5	follow	follow	VERB
easat-10606	67	6	new	new	ADJ
easat-10606	67	7	knowledge	knowledge	NOUN
easat-10606	67	8	and	and	CCONJ
easat-10606	67	9	avoid	avoid	VERB
easat-10606	67	10	repeating	repeat	VERB
easat-10606	67	11	past	past	ADJ
easat-10606	67	12	mistakes	mistake	NOUN
easat-10606	67	13	.	.	PUNCT
easat-10606	68	1	in	in	ADP
easat-10606	68	2	education	education	NOUN
easat-10606	68	3	,	,	PUNCT
easat-10606	68	4	feedback	feedback	NOUN
easat-10606	68	5	plays	play	VERB
easat-10606	68	6	an	an	DET
easat-10606	68	7	important	important	ADJ
easat-10606	68	8	role	role	NOUN
easat-10606	68	9	as	as	SCONJ
easat-10606	68	10	many	many	ADJ
easat-10606	68	11	people	people	NOUN
easat-10606	68	12	want	want	VERB
easat-10606	68	13	to	to	PART
easat-10606	68	14	know	know	VERB
easat-10606	68	15	whether	whether	SCONJ
easat-10606	68	16	their	their	PRON
easat-10606	68	17	opinion	opinion	NOUN
easat-10606	68	18	must	must	AUX
easat-10606	68	19	be	be	AUX
easat-10606	68	20	serious	serious	ADJ
easat-10606	68	21	or	or	CCONJ
easat-10606	68	22	the	the	DET
easat-10606	68	23	most	most	ADV
easat-10606	68	24	important	important	ADJ
easat-10606	68	25	in	in	ADP
easat-10606	68	26	the	the	DET
easat-10606	68	27	decision	decision	NOUN
easat-10606	68	28	-	-	PUNCT
easat-10606	68	29	making	make	VERB
easat-10606	68	30	process	process	NOUN
easat-10606	68	31	for	for	ADP
easat-10606	68	32	higher	high	ADJ
easat-10606	68	33	education	education	NOUN
easat-10606	68	34	quality	quality	NOUN
easat-10606	68	35	.	.	PUNCT
easat-10606	69	1	feedback	feedback	NOUN
easat-10606	69	2	is	be	AUX
easat-10606	69	3	the	the	DET
easat-10606	69	4	process	process	NOUN
easat-10606	69	5	of	of	ADP
easat-10606	69	6	helping	help	VERB
easat-10606	69	7	and	and	CCONJ
easat-10606	69	8	assessing	assess	VERB
easat-10606	69	9	an	an	DET
easat-10606	69	10	organization	organization	NOUN
easat-10606	69	11	on	on	ADP
easat-10606	69	12	a	a	DET
easat-10606	69	13	monitor	monitor	NOUN
easat-10606	69	14	and	and	CCONJ
easat-10606	69	15	standardizing	standardize	VERB
easat-10606	69	16	the	the	DET
easat-10606	69	17	overall	overall	ADJ
easat-10606	69	18	working	work	VERB
easat-10606	69	19	environment	environment	NOUN
easat-10606	70	1	[	[	X
easat-10606	70	2	16	16	NUM
easat-10606	70	3	]	]	PUNCT
easat-10606	70	4	.	.	PUNCT
easat-10606	71	1	in	in	ADP
easat-10606	71	2	addition	addition	NOUN
easat-10606	71	3	,	,	PUNCT
easat-10606	71	4	feedback	feedback	NOUN
easat-10606	71	5	is	be	AUX
easat-10606	71	6	an	an	DET
easat-10606	71	7	essential	essential	ADJ
easat-10606	71	8	part	part	NOUN
easat-10606	71	9	of	of	ADP
easat-10606	71	10	communication	communication	NOUN
easat-10606	71	11	.	.	PUNCT
easat-10606	72	1	feedback	feedback	NOUN
easat-10606	72	2	in	in	ADP
easat-10606	72	3	education	education	NOUN
easat-10606	72	4	helps	help	VERB
easat-10606	72	5	both	both	DET
easat-10606	72	6	students	student	NOUN
easat-10606	72	7	and	and	CCONJ
easat-10606	72	8	teachers	teacher	NOUN
easat-10606	72	9	strengthen	strengthen	VERB
easat-10606	72	10	the	the	DET
easat-10606	72	11	learning	learning	NOUN
easat-10606	72	12	process	process	NOUN
easat-10606	72	13	and	and	CCONJ
easat-10606	72	14	can	can	AUX
easat-10606	72	15	help	help	VERB
easat-10606	72	16	students	student	NOUN
easat-10606	72	17	improve	improve	VERB
easat-10606	72	18	their	their	PRON
easat-10606	72	19	chances	chance	NOUN
easat-10606	72	20	of	of	ADP
easat-10606	72	21	success	success	NOUN
easat-10606	72	22	[	[	X
easat-10606	72	23	17	17	NUM
easat-10606	72	24	]	]	PUNCT
easat-10606	72	25	.	.	PUNCT
easat-10606	73	1	feedback	feedback	NOUN
easat-10606	73	2	is	be	AUX
easat-10606	73	3	a	a	DET
easat-10606	73	4	key	key	ADJ
easat-10606	73	5	element	element	NOUN
easat-10606	73	6	in	in	ADP
easat-10606	73	7	formative	formative	ADJ
easat-10606	73	8	assessment	assessment	NOUN
easat-10606	73	9	.	.	PUNCT
easat-10606	74	1	it	it	PRON
easat-10606	74	2	is	be	AUX
easat-10606	74	3	an	an	DET
easat-10606	74	4	essential	essential	ADJ
easat-10606	74	5	part	part	NOUN
easat-10606	74	6	of	of	ADP
easat-10606	74	7	education	education	NOUN
easat-10606	74	8	and	and	CCONJ
easat-10606	74	9	training	training	NOUN
easat-10606	74	10	programmes	programme	NOUN
easat-10606	74	11	.	.	PUNCT
easat-10606	75	1	feedback	feedback	NOUN
easat-10606	75	2	helps	help	VERB
easat-10606	75	3	learners	learner	NOUN
easat-10606	75	4	maximise	maximise	VERB
easat-10606	75	5	their	their	PRON
easat-10606	75	6	potential	potential	NOUN
easat-10606	75	7	at	at	ADP
easat-10606	75	8	different	different	ADJ
easat-10606	75	9	stages	stage	NOUN
easat-10606	75	10	of	of	ADP
easat-10606	75	11	training	training	NOUN
easat-10606	75	12	,	,	PUNCT
easat-10606	75	13	raises	raise	VERB
easat-10606	75	14	their	their	PRON
easat-10606	75	15	awareness	awareness	NOUN
easat-10606	75	16	of	of	ADP
easat-10606	75	17	strengths	strength	NOUN
easat-10606	75	18	and	and	CCONJ
easat-10606	75	19	areas	area	NOUN
easat-10606	75	20	for	for	ADP
easat-10606	75	21	improvement	improvement	NOUN
easat-10606	75	22	,	,	PUNCT
easat-10606	75	23	and	and	CCONJ
easat-10606	75	24	identifies	identify	VERB
easat-10606	75	25	actions	action	NOUN
easat-10606	75	26	to	to	PART
easat-10606	75	27	be	be	AUX
easat-10606	75	28	taken	take	VERB
easat-10606	75	29	to	to	PART
easat-10606	75	30	improve	improve	VERB
easat-10606	75	31	performance	performance	NOUN
easat-10606	75	32	.	.	PUNCT
easat-10606	76	1	1151	1151	NUM
easat-10606	76	2	edelweiss	edelweiss	PROPN
easat-10606	76	3	applied	apply	VERB
easat-10606	76	4	science	science	NOUN
easat-10606	76	5	and	and	CCONJ
easat-10606	76	6	technology	technology	NOUN
easat-10606	76	7	issn	issn	PROPN
easat-10606	76	8	:	:	PUNCT
easat-10606	76	9	2576	2576	NUM
easat-10606	76	10	-	-	SYM
easat-10606	76	11	8484	8484	NUM
easat-10606	76	12	vol	vol	NOUN
easat-10606	76	13	.	.	PROPN
easat-10606	77	1	9	9	NUM
easat-10606	77	2	,	,	PUNCT
easat-10606	77	3	no	no	INTJ
easat-10606	77	4	.	.	NOUN
easat-10606	77	5	10	10	NUM
easat-10606	77	6	:	:	SYM
easat-10606	77	7	1149	1149	NUM
easat-10606	77	8	-	-	SYM
easat-10606	77	9	1180	1180	NUM
easat-10606	77	10	,	,	PUNCT
easat-10606	77	11	2025	2025	NUM
easat-10606	77	12	doi	doi	NOUN
easat-10606	77	13	:	:	PUNCT
easat-10606	77	14	10.55214/2576	10.55214/2576	NUM
easat-10606	77	15	-	-	SYM
easat-10606	77	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	77	17	©	©	ADP
easat-10606	77	18	2025	2025	NUM
easat-10606	77	19	by	by	ADP
easat-10606	77	20	the	the	DET
easat-10606	77	21	authors	author	NOUN
easat-10606	77	22	;	;	PUNCT
easat-10606	77	23	licensee	licensee	PROPN
easat-10606	77	24	learning	learning	PROPN
easat-10606	77	25	gate	gate	PROPN
easat-10606	77	26	student	student	NOUN
easat-10606	77	27	feedback	feedback	NOUN
easat-10606	77	28	is	be	AUX
easat-10606	77	29	essential	essential	ADJ
easat-10606	77	30	for	for	ADP
easat-10606	77	31	assessing	assess	VERB
easat-10606	77	32	and	and	CCONJ
easat-10606	77	33	analyzing	analyze	VERB
easat-10606	77	34	learning	learn	VERB
easat-10606	77	35	management	management	NOUN
easat-10606	77	36	systems	system	NOUN
easat-10606	77	37	,	,	PUNCT
easat-10606	77	38	instruction	instruction	NOUN
easat-10606	77	39	,	,	PUNCT
easat-10606	77	40	pedagogical	pedagogical	ADJ
easat-10606	77	41	practices	practice	NOUN
easat-10606	77	42	,	,	PUNCT
easat-10606	77	43	and	and	CCONJ
easat-10606	77	44	courses	course	NOUN
easat-10606	77	45	in	in	ADP
easat-10606	77	46	the	the	DET
easat-10606	77	47	field	field	NOUN
easat-10606	77	48	of	of	ADP
easat-10606	77	49	education	education	NOUN
easat-10606	77	50	[	[	X
easat-10606	77	51	18	18	NUM
easat-10606	77	52	]	]	PUNCT
easat-10606	77	53	.	.	PUNCT
easat-10606	78	1	thus	thus	ADV
easat-10606	78	2	,	,	PUNCT
easat-10606	78	3	gathering	gather	VERB
easat-10606	78	4	comments	comment	NOUN
easat-10606	78	5	after	after	ADP
easat-10606	78	6	each	each	DET
easat-10606	78	7	semester	semester	NOUN
easat-10606	78	8	,	,	PUNCT
easat-10606	78	9	educational	educational	ADJ
easat-10606	78	10	institutions	institution	NOUN
easat-10606	78	11	use	use	VERB
easat-10606	78	12	student	student	NOUN
easat-10606	78	13	feedback	feedback	NOUN
easat-10606	78	14	questionnaires	questionnaire	NOUN
easat-10606	78	15	to	to	PART
easat-10606	78	16	capture	capture	VERB
easat-10606	78	17	their	their	PRON
easat-10606	78	18	thoughts	thought	NOUN
easat-10606	78	19	on	on	ADP
easat-10606	78	20	the	the	DET
easat-10606	78	21	courses	course	NOUN
easat-10606	78	22	they	they	PRON
easat-10606	78	23	have	have	AUX
easat-10606	78	24	taken	take	VERB
easat-10606	78	25	that	that	DET
easat-10606	78	26	semester	semester	NOUN
easat-10606	78	27	[	[	X
easat-10606	78	28	19	19	NUM
easat-10606	78	29	]	]	PUNCT
easat-10606	78	30	.	.	PUNCT
easat-10606	79	1	the	the	DET
easat-10606	79	2	feedback	feedback	NOUN
easat-10606	79	3	includes	include	VERB
easat-10606	79	4	both	both	CCONJ
easat-10606	79	5	quantitative	quantitative	ADJ
easat-10606	79	6	and	and	CCONJ
easat-10606	79	7	qualitative	qualitative	ADJ
easat-10606	79	8	information	information	NOUN
easat-10606	79	9	,	,	PUNCT
easat-10606	79	10	such	such	ADJ
easat-10606	79	11	as	as	ADP
easat-10606	79	12	student	student	NOUN
easat-10606	79	13	demographics	demographic	NOUN
easat-10606	79	14	,	,	PUNCT
easat-10606	79	15	course	course	NOUN
easat-10606	79	16	information	information	NOUN
easat-10606	79	17	,	,	PUNCT
easat-10606	79	18	ratings	rating	NOUN
easat-10606	79	19	,	,	PUNCT
easat-10606	79	20	and	and	CCONJ
easat-10606	79	21	comments	comment	NOUN
easat-10606	79	22	.	.	PUNCT
easat-10606	80	1	quantitative	quantitative	ADJ
easat-10606	80	2	data	datum	NOUN
easat-10606	80	3	can	can	AUX
easat-10606	80	4	offer	offer	VERB
easat-10606	80	5	statistical	statistical	ADJ
easat-10606	80	6	insights	insight	NOUN
easat-10606	80	7	into	into	ADP
easat-10606	80	8	student	student	NOUN
easat-10606	80	9	feedback	feedback	NOUN
easat-10606	80	10	on	on	ADP
easat-10606	80	11	the	the	DET
easat-10606	80	12	courses	course	NOUN
easat-10606	80	13	,	,	PUNCT
easat-10606	80	14	while	while	SCONJ
easat-10606	80	15	qualitative	qualitative	ADJ
easat-10606	80	16	data	data	NOUN
easat-10606	80	17	analysis	analysis	NOUN
easat-10606	80	18	can	can	AUX
easat-10606	80	19	reveal	reveal	VERB
easat-10606	80	20	students	student	NOUN
easat-10606	80	21	'	'	PART
easat-10606	80	22	intentions	intention	NOUN
easat-10606	80	23	.	.	PUNCT
easat-10606	81	1	technological	technological	ADJ
easat-10606	81	2	advancements	advancement	NOUN
easat-10606	81	3	through	through	ADP
easat-10606	81	4	the	the	DET
easat-10606	81	5	implementation	implementation	NOUN
easat-10606	81	6	of	of	ADP
easat-10606	81	7	artificial	artificial	ADJ
easat-10606	81	8	intelligence	intelligence	NOUN
easat-10606	81	9	(	(	PUNCT
easat-10606	81	10	ai	ai	NOUN
easat-10606	81	11	)	)	PUNCT
easat-10606	81	12	and	and	CCONJ
easat-10606	81	13	natural	natural	ADJ
easat-10606	81	14	language	language	NOUN
easat-10606	81	15	processing	processing	NOUN
easat-10606	81	16	(	(	PUNCT
easat-10606	81	17	nlp	nlp	NOUN
easat-10606	81	18	)	)	PUNCT
easat-10606	81	19	methodologies	methodology	NOUN
easat-10606	81	20	have	have	AUX
easat-10606	81	21	revolutionized	revolutionize	VERB
easat-10606	81	22	industries	industry	NOUN
easat-10606	81	23	such	such	ADJ
easat-10606	81	24	as	as	ADP
easat-10606	81	25	healthcare	healthcare	NOUN
easat-10606	81	26	and	and	CCONJ
easat-10606	81	27	education	education	NOUN
easat-10606	81	28	[	[	X
easat-10606	81	29	20	20	NUM
easat-10606	81	30	,	,	PUNCT
easat-10606	81	31	21	21	NUM
easat-10606	81	32	]	]	PUNCT
easat-10606	81	33	.	.	PUNCT
easat-10606	82	1	moreover	moreover	ADV
easat-10606	82	2	,	,	PUNCT
easat-10606	82	3	the	the	DET
easat-10606	82	4	improvement	improvement	NOUN
easat-10606	82	5	in	in	ADP
easat-10606	82	6	technology	technology	NOUN
easat-10606	82	7	has	have	AUX
easat-10606	82	8	allowed	allow	VERB
easat-10606	82	9	students	student	NOUN
easat-10606	82	10	to	to	PART
easat-10606	82	11	explore	explore	VERB
easat-10606	82	12	new	new	ADJ
easat-10606	82	13	fields	field	NOUN
easat-10606	82	14	.	.	PUNCT
easat-10606	83	1	subsequently	subsequently	ADV
easat-10606	83	2	,	,	PUNCT
easat-10606	83	3	it	it	PRON
easat-10606	83	4	has	have	AUX
easat-10606	83	5	also	also	ADV
easat-10606	83	6	helped	help	VERB
easat-10606	83	7	to	to	PART
easat-10606	83	8	keep	keep	VERB
easat-10606	83	9	track	track	NOUN
easat-10606	83	10	of	of	ADP
easat-10606	83	11	performance	performance	NOUN
easat-10606	83	12	and	and	CCONJ
easat-10606	83	13	improve	improve	VERB
easat-10606	83	14	the	the	DET
easat-10606	83	15	abilities	ability	NOUN
easat-10606	83	16	of	of	ADP
easat-10606	83	17	faculty	faculty	NOUN
easat-10606	83	18	,	,	PUNCT
easat-10606	83	19	with	with	ADP
easat-10606	83	20	the	the	DET
easat-10606	83	21	opinions	opinion	NOUN
easat-10606	83	22	of	of	ADP
easat-10606	83	23	students	student	NOUN
easat-10606	83	24	being	be	AUX
easat-10606	83	25	helpful	helpful	ADJ
easat-10606	83	26	.	.	PUNCT
easat-10606	84	1	therefore	therefore	ADV
easat-10606	84	2	,	,	PUNCT
easat-10606	84	3	finding	find	VERB
easat-10606	84	4	out	out	ADP
easat-10606	84	5	the	the	DET
easat-10606	84	6	subjective	subjective	ADJ
easat-10606	84	7	meaning	meaning	NOUN
easat-10606	84	8	of	of	ADP
easat-10606	84	9	opinions	opinion	NOUN
easat-10606	84	10	is	be	AUX
easat-10606	84	11	the	the	DET
easat-10606	84	12	major	major	ADJ
easat-10606	84	13	task	task	NOUN
easat-10606	84	14	.	.	PUNCT
easat-10606	85	1	sentiment	sentiment	NOUN
easat-10606	85	2	analysis	analysis	NOUN
easat-10606	85	3	can	can	AUX
easat-10606	85	4	be	be	AUX
easat-10606	85	5	one	one	NUM
easat-10606	85	6	way	way	NOUN
easat-10606	85	7	to	to	PART
easat-10606	85	8	do	do	VERB
easat-10606	85	9	it	it	PRON
easat-10606	85	10	.	.	PUNCT
easat-10606	86	1	sentiment	sentiment	NOUN
easat-10606	86	2	analysis	analysis	NOUN
easat-10606	86	3	is	be	AUX
easat-10606	86	4	contextual	contextual	ADJ
easat-10606	86	5	mining	mining	NOUN
easat-10606	86	6	of	of	ADP
easat-10606	86	7	text	text	NOUN
easat-10606	86	8	that	that	PRON
easat-10606	86	9	identifies	identify	VERB
easat-10606	86	10	and	and	CCONJ
easat-10606	86	11	extracts	extract	VERB
easat-10606	86	12	subjective	subjective	ADJ
easat-10606	86	13	information	information	NOUN
easat-10606	86	14	in	in	ADP
easat-10606	86	15	source	source	NOUN
easat-10606	86	16	material	material	NOUN
easat-10606	86	17	and	and	CCONJ
easat-10606	86	18	helps	help	VERB
easat-10606	86	19	to	to	PART
easat-10606	86	20	understand	understand	VERB
easat-10606	86	21	social	social	ADJ
easat-10606	86	22	sentiment	sentiment	NOUN
easat-10606	86	23	or	or	CCONJ
easat-10606	86	24	opinion	opinion	NOUN
easat-10606	86	25	when	when	SCONJ
easat-10606	86	26	monitoring	monitor	VERB
easat-10606	86	27	an	an	DET
easat-10606	86	28	organization	organization	NOUN
easat-10606	86	29	.	.	PUNCT
easat-10606	87	1	nlp	nlp	PROPN
easat-10606	87	2	has	have	VERB
easat-10606	87	3	to	to	PART
easat-10606	87	4	do	do	VERB
easat-10606	87	5	with	with	ADP
easat-10606	87	6	the	the	DET
easat-10606	87	7	building	building	NOUN
easat-10606	87	8	of	of	ADP
easat-10606	87	9	computational	computational	ADJ
easat-10606	87	10	algorithms	algorithm	NOUN
easat-10606	87	11	to	to	PART
easat-10606	87	12	automatically	automatically	ADV
easat-10606	87	13	analyze	analyze	VERB
easat-10606	87	14	and	and	CCONJ
easat-10606	87	15	represent	represent	VERB
easat-10606	87	16	human	human	ADJ
easat-10606	87	17	language	language	NOUN
easat-10606	87	18	.	.	PUNCT
easat-10606	88	1	students	student	NOUN
easat-10606	88	2	have	have	AUX
easat-10606	88	3	not	not	PART
easat-10606	88	4	been	be	AUX
easat-10606	88	5	taught	teach	VERB
easat-10606	88	6	to	to	PART
easat-10606	88	7	provide	provide	VERB
easat-10606	88	8	feedback	feedback	NOUN
easat-10606	88	9	on	on	ADP
easat-10606	88	10	their	their	PRON
easat-10606	88	11	learning	learning	NOUN
easat-10606	88	12	over	over	ADP
easat-10606	88	13	the	the	DET
easat-10606	88	14	years	year	NOUN
easat-10606	88	15	,	,	PUNCT
easat-10606	88	16	particularly	particularly	ADV
easat-10606	88	17	in	in	ADP
easat-10606	88	18	developing	develop	VERB
easat-10606	88	19	countries	country	NOUN
easat-10606	88	20	,	,	PUNCT
easat-10606	88	21	and	and	CCONJ
easat-10606	88	22	the	the	DET
easat-10606	88	23	few	few	ADJ
easat-10606	88	24	that	that	PRON
easat-10606	88	25	do	do	VERB
easat-10606	88	26	so	so	ADV
easat-10606	88	27	are	are	VERB
easat-10606	88	28	unfamiliar	unfamiliar	ADJ
easat-10606	88	29	with	with	ADP
easat-10606	88	30	the	the	DET
easat-10606	88	31	process	process	NOUN
easat-10606	88	32	;	;	PUNCT
easat-10606	88	33	some	some	PRON
easat-10606	88	34	of	of	ADP
easat-10606	88	35	the	the	DET
easat-10606	88	36	opinions	opinion	NOUN
easat-10606	88	37	provided	provide	VERB
easat-10606	88	38	have	have	VERB
easat-10606	88	39	no	no	DET
easat-10606	88	40	bearing	bearing	NOUN
easat-10606	88	41	on	on	ADP
easat-10606	88	42	their	their	PRON
easat-10606	88	43	academic	academic	ADJ
easat-10606	88	44	performance	performance	NOUN
easat-10606	88	45	.	.	PUNCT
easat-10606	89	1	however	however	ADV
easat-10606	89	2	,	,	PUNCT
easat-10606	89	3	efforts	effort	NOUN
easat-10606	89	4	have	have	AUX
easat-10606	89	5	been	be	AUX
easat-10606	89	6	undertaken	undertake	VERB
easat-10606	89	7	to	to	PART
easat-10606	89	8	understand	understand	VERB
easat-10606	89	9	and	and	CCONJ
easat-10606	89	10	improve	improve	VERB
easat-10606	89	11	students	student	NOUN
easat-10606	89	12	'	'	PART
easat-10606	89	13	learning	learning	NOUN
easat-10606	89	14	experiences	experience	NOUN
easat-10606	89	15	in	in	ADP
easat-10606	89	16	various	various	ADJ
easat-10606	89	17	ways	way	NOUN
easat-10606	89	18	.	.	PUNCT
easat-10606	90	1	a	a	DET
easat-10606	90	2	useful	useful	ADJ
easat-10606	90	3	method	method	NOUN
easat-10606	90	4	of	of	ADP
easat-10606	90	5	evaluating	evaluate	VERB
easat-10606	90	6	instruction	instruction	NOUN
easat-10606	90	7	is	be	AUX
easat-10606	90	8	to	to	PART
easat-10606	90	9	ask	ask	VERB
easat-10606	90	10	students	student	NOUN
easat-10606	90	11	about	about	ADP
easat-10606	90	12	their	their	PRON
easat-10606	90	13	experiences	experience	NOUN
easat-10606	90	14	as	as	ADP
easat-10606	90	15	students	student	NOUN
easat-10606	90	16	in	in	ADP
easat-10606	90	17	higher	high	ADJ
easat-10606	90	18	educational	educational	ADJ
easat-10606	90	19	institutions	institution	NOUN
easat-10606	90	20	.	.	PUNCT
easat-10606	91	1	there	there	PRON
easat-10606	91	2	are	be	VERB
easat-10606	91	3	numerous	numerous	ADJ
easat-10606	91	4	methods	method	NOUN
easat-10606	91	5	for	for	ADP
easat-10606	91	6	gathering	gather	VERB
easat-10606	91	7	student	student	NOUN
easat-10606	91	8	input	input	NOUN
easat-10606	91	9	,	,	PUNCT
easat-10606	91	10	such	such	ADJ
easat-10606	91	11	as	as	ADP
easat-10606	91	12	small	small	ADJ
easat-10606	91	13	group	group	NOUN
easat-10606	91	14	instructional	instructional	ADJ
easat-10606	91	15	diagnosis	diagnosis	NOUN
easat-10606	91	16	(	(	PUNCT
easat-10606	91	17	sgids	sgid	NOUN
easat-10606	91	18	)	)	PUNCT
easat-10606	91	19	,	,	PUNCT
easat-10606	91	20	surveys	survey	NOUN
easat-10606	91	21	,	,	PUNCT
easat-10606	91	22	web	web	NOUN
easat-10606	91	23	questions	question	NOUN
easat-10606	91	24	,	,	PUNCT
easat-10606	91	25	and	and	CCONJ
easat-10606	91	26	open	open	ADV
easat-10606	91	27	-	-	PUNCT
easat-10606	91	28	ended	end	VERB
easat-10606	91	29	feedback	feedback	NOUN
easat-10606	91	30	forms	form	NOUN
easat-10606	91	31	like	like	ADP
easat-10606	91	32	facets	facet	NOUN
easat-10606	91	33	[	[	X
easat-10606	91	34	10	10	NUM
easat-10606	91	35	]	]	PUNCT
easat-10606	91	36	.	.	PUNCT
easat-10606	92	1	for	for	SCONJ
easat-10606	92	2	academic	academic	ADJ
easat-10606	92	3	bodies	body	NOUN
easat-10606	92	4	to	to	PART
easat-10606	92	5	achieve	achieve	VERB
easat-10606	92	6	the	the	DET
easat-10606	92	7	intended	intend	VERB
easat-10606	92	8	results	result	NOUN
easat-10606	92	9	,	,	PUNCT
easat-10606	92	10	it	it	PRON
easat-10606	92	11	is	be	AUX
easat-10606	92	12	not	not	PART
easat-10606	92	13	enough	enough	ADJ
easat-10606	92	14	to	to	PART
easat-10606	92	15	just	just	ADV
easat-10606	92	16	gather	gather	VERB
easat-10606	92	17	student	student	NOUN
easat-10606	92	18	opinions	opinion	NOUN
easat-10606	92	19	;	;	PUNCT
easat-10606	92	20	instead	instead	ADV
easat-10606	92	21	,	,	PUNCT
easat-10606	92	22	the	the	DET
easat-10606	92	23	feedback	feedback	NOUN
easat-10606	92	24	must	must	AUX
easat-10606	92	25	be	be	AUX
easat-10606	92	26	carefully	carefully	ADV
easat-10606	92	27	examined	examine	VERB
easat-10606	92	28	.	.	PUNCT
easat-10606	93	1	we	we	PRON
easat-10606	93	2	can	can	AUX
easat-10606	93	3	better	well	ADV
easat-10606	93	4	understand	understand	VERB
easat-10606	93	5	student	student	NOUN
easat-10606	93	6	feedback	feedback	NOUN
easat-10606	93	7	on	on	ADP
easat-10606	93	8	their	their	PRON
easat-10606	93	9	educational	educational	ADJ
easat-10606	93	10	experiences	experience	NOUN
easat-10606	93	11	by	by	ADP
easat-10606	93	12	dissecting	dissect	VERB
easat-10606	93	13	and	and	CCONJ
easat-10606	93	14	analyzing	analyze	VERB
easat-10606	93	15	the	the	DET
easat-10606	93	16	remarks	remark	NOUN
easat-10606	93	17	made	make	VERB
easat-10606	93	18	by	by	ADP
easat-10606	93	19	students	student	NOUN
easat-10606	93	20	.	.	PUNCT
easat-10606	94	1	any	any	DET
easat-10606	94	2	institution	institution	NOUN
easat-10606	94	3	can	can	AUX
easat-10606	94	4	use	use	VERB
easat-10606	94	5	online	online	ADV
easat-10606	94	6	or	or	CCONJ
easat-10606	94	7	offline	offline	ADJ
easat-10606	94	8	feedback	feedback	NOUN
easat-10606	94	9	analysis	analysis	NOUN
easat-10606	94	10	methods	method	NOUN
easat-10606	94	11	to	to	PART
easat-10606	94	12	collect	collect	VERB
easat-10606	94	13	student	student	NOUN
easat-10606	94	14	feedback	feedback	NOUN
easat-10606	94	15	.	.	PUNCT
easat-10606	95	1	as	as	ADP
easat-10606	95	2	a	a	DET
easat-10606	95	3	result	result	NOUN
easat-10606	95	4	,	,	PUNCT
easat-10606	95	5	participating	participate	VERB
easat-10606	95	6	in	in	ADP
easat-10606	95	7	it	it	PRON
easat-10606	95	8	can	can	AUX
easat-10606	95	9	be	be	AUX
easat-10606	95	10	an	an	DET
easat-10606	95	11	effective	effective	ADJ
easat-10606	95	12	technique	technique	NOUN
easat-10606	95	13	to	to	PART
easat-10606	95	14	enrich	enrich	VERB
easat-10606	95	15	and	and	CCONJ
easat-10606	95	16	enhance	enhance	VERB
easat-10606	95	17	students	student	NOUN
easat-10606	95	18	'	'	PART
easat-10606	95	19	knowledge	knowledge	NOUN
easat-10606	95	20	.	.	PUNCT
easat-10606	96	1	one	one	NUM
easat-10606	96	2	of	of	ADP
easat-10606	96	3	the	the	DET
easat-10606	96	4	most	most	ADV
easat-10606	96	5	significant	significant	ADJ
easat-10606	96	6	influences	influence	NOUN
easat-10606	96	7	on	on	ADP
easat-10606	96	8	learning	learning	NOUN
easat-10606	96	9	and	and	CCONJ
easat-10606	96	10	success	success	NOUN
easat-10606	96	11	is	be	AUX
easat-10606	96	12	feedback	feedback	NOUN
easat-10606	96	13	,	,	PUNCT
easat-10606	96	14	yet	yet	CCONJ
easat-10606	96	15	this	this	DET
easat-10606	96	16	influence	influence	NOUN
easat-10606	96	17	can	can	AUX
easat-10606	96	18	also	also	ADV
easat-10606	96	19	be	be	AUX
easat-10606	96	20	very	very	ADV
easat-10606	96	21	detrimental	detrimental	ADJ
easat-10606	96	22	.	.	PUNCT
easat-10606	97	1	in	in	ADP
easat-10606	97	2	today	today	NOUN
easat-10606	97	3	's	's	PART
easat-10606	97	4	digital	digital	ADJ
easat-10606	97	5	world	world	NOUN
easat-10606	97	6	,	,	PUNCT
easat-10606	97	7	the	the	DET
easat-10606	97	8	environment	environment	NOUN
easat-10606	97	9	of	of	ADP
easat-10606	97	10	the	the	DET
easat-10606	97	11	contemporary	contemporary	ADJ
easat-10606	97	12	educational	educational	ADJ
easat-10606	97	13	system	system	NOUN
easat-10606	97	14	is	be	AUX
easat-10606	97	15	constantly	constantly	ADV
easat-10606	97	16	enhanced	enhance	VERB
easat-10606	97	17	by	by	ADP
easat-10606	97	18	the	the	DET
easat-10606	97	19	vast	vast	ADJ
easat-10606	97	20	amount	amount	NOUN
easat-10606	97	21	of	of	ADP
easat-10606	97	22	data	datum	NOUN
easat-10606	97	23	produced	produce	VERB
easat-10606	97	24	and	and	CCONJ
easat-10606	97	25	shared	share	VERB
easat-10606	97	26	each	each	DET
easat-10606	97	27	day	day	NOUN
easat-10606	97	28	across	across	ADP
easat-10606	97	29	different	different	ADJ
easat-10606	97	30	platforms	platform	NOUN
easat-10606	97	31	,	,	PUNCT
easat-10606	97	32	such	such	ADJ
easat-10606	97	33	as	as	ADP
easat-10606	97	34	social	social	ADJ
easat-10606	97	35	media	medium	NOUN
easat-10606	97	36	and	and	CCONJ
easat-10606	97	37	learning	learn	VERB
easat-10606	97	38	management	management	NOUN
easat-10606	97	39	systems	system	NOUN
easat-10606	97	40	,	,	PUNCT
easat-10606	97	41	much	much	ADJ
easat-10606	97	42	of	of	ADP
easat-10606	97	43	which	which	PRON
easat-10606	97	44	contains	contain	VERB
easat-10606	97	45	significant	significant	ADJ
easat-10606	97	46	and	and	CCONJ
easat-10606	97	47	useful	useful	ADJ
easat-10606	97	48	information	information	NOUN
easat-10606	97	49	as	as	ADV
easat-10606	97	50	well	well	ADV
easat-10606	97	51	as	as	ADP
easat-10606	97	52	comments	comment	NOUN
easat-10606	97	53	[	[	X
easat-10606	97	54	3	3	NUM
easat-10606	97	55	,	,	PUNCT
easat-10606	97	56	22	22	NUM
easat-10606	97	57	]	]	PUNCT
easat-10606	97	58	.	.	PUNCT
easat-10606	98	1	these	these	DET
easat-10606	98	2	vast	vast	ADJ
easat-10606	98	3	amounts	amount	NOUN
easat-10606	98	4	of	of	ADP
easat-10606	98	5	data	datum	NOUN
easat-10606	98	6	are	be	AUX
easat-10606	98	7	what	what	PRON
easat-10606	98	8	data	datum	NOUN
easat-10606	98	9	analysts	analyst	NOUN
easat-10606	98	10	leverage	leverage	VERB
easat-10606	98	11	to	to	ADP
easat-10606	98	12	access	access	NOUN
easat-10606	98	13	views	view	NOUN
easat-10606	98	14	and	and	CCONJ
easat-10606	98	15	opinions	opinion	NOUN
easat-10606	98	16	on	on	ADP
easat-10606	98	17	various	various	ADJ
easat-10606	98	18	topics	topic	NOUN
easat-10606	98	19	;	;	PUNCT
easat-10606	98	20	hence	hence	ADV
easat-10606	98	21	,	,	PUNCT
easat-10606	98	22	they	they	PRON
easat-10606	98	23	predict	predict	VERB
easat-10606	98	24	business	business	NOUN
easat-10606	98	25	and	and	CCONJ
easat-10606	98	26	social	social	ADJ
easat-10606	98	27	outcomes	outcome	NOUN
easat-10606	98	28	such	such	ADJ
easat-10606	98	29	as	as	ADP
easat-10606	98	30	stock	stock	NOUN
easat-10606	98	31	returns	return	NOUN
easat-10606	98	32	,	,	PUNCT
easat-10606	98	33	product	product	NOUN
easat-10606	98	34	sales	sale	NOUN
easat-10606	98	35	,	,	PUNCT
easat-10606	98	36	and	and	CCONJ
easat-10606	98	37	the	the	DET
easat-10606	98	38	political	political	ADJ
easat-10606	98	39	outcomes	outcome	NOUN
easat-10606	98	40	of	of	ADP
easat-10606	98	41	elections	election	NOUN
easat-10606	98	42	[	[	X
easat-10606	98	43	23	23	NUM
easat-10606	98	44	-	-	SYM
easat-10606	98	45	25	25	NUM
easat-10606	98	46	]	]	PUNCT
easat-10606	98	47	.	.	PUNCT
easat-10606	99	1	therefore	therefore	ADV
easat-10606	99	2	,	,	PUNCT
easat-10606	99	3	finding	find	VERB
easat-10606	99	4	and	and	CCONJ
easat-10606	99	5	extracting	extract	VERB
easat-10606	99	6	the	the	DET
easat-10606	99	7	subjective	subjective	ADJ
easat-10606	99	8	meaning	meaning	NOUN
easat-10606	99	9	from	from	ADP
easat-10606	99	10	opinions	opinion	NOUN
easat-10606	99	11	user	user	NOUN
easat-10606	99	12	-	-	PUNCT
easat-10606	99	13	generated	generate	VERB
easat-10606	99	14	content	content	NOUN
easat-10606	99	15	and	and	CCONJ
easat-10606	99	16	opinions	opinion	NOUN
easat-10606	99	17	from	from	ADP
easat-10606	99	18	the	the	DET
easat-10606	99	19	enormous	enormous	ADJ
easat-10606	99	20	volume	volume	NOUN
easat-10606	99	21	of	of	ADP
easat-10606	99	22	data	datum	NOUN
easat-10606	99	23	is	be	AUX
easat-10606	99	24	the	the	DET
easat-10606	99	25	major	major	ADJ
easat-10606	99	26	task	task	NOUN
easat-10606	99	27	that	that	PRON
easat-10606	99	28	opinion	opinion	NOUN
easat-10606	99	29	mining	mining	NOUN
easat-10606	99	30	and	and	CCONJ
easat-10606	99	31	sentiment	sentiment	NOUN
easat-10606	99	32	analysis	analysis	NOUN
easat-10606	99	33	can	can	AUX
easat-10606	99	34	provide	provide	VERB
easat-10606	99	35	.	.	PUNCT
easat-10606	100	1	sentiment	sentiment	NOUN
easat-10606	100	2	analysis	analysis	NOUN
easat-10606	100	3	(	(	PUNCT
easat-10606	100	4	sa	sa	NOUN
easat-10606	100	5	)	)	PUNCT
easat-10606	100	6	,	,	PUNCT
easat-10606	100	7	also	also	ADV
easat-10606	100	8	referred	refer	VERB
easat-10606	100	9	to	to	ADP
easat-10606	100	10	as	as	ADP
easat-10606	100	11	opinion	opinion	NOUN
easat-10606	100	12	mining	mining	NOUN
easat-10606	100	13	,	,	PUNCT
easat-10606	100	14	subjectivity	subjectivity	NOUN
easat-10606	100	15	analysis	analysis	NOUN
easat-10606	100	16	,	,	PUNCT
easat-10606	100	17	and	and	CCONJ
easat-10606	100	18	appraisal	appraisal	NOUN
easat-10606	100	19	extraction	extraction	NOUN
easat-10606	100	20	,	,	PUNCT
easat-10606	100	21	is	be	AUX
easat-10606	100	22	described	describe	VERB
easat-10606	100	23	as	as	ADP
easat-10606	100	24	a	a	DET
easat-10606	100	25	process	process	NOUN
easat-10606	100	26	that	that	PRON
easat-10606	100	27	automates	automate	VERB
easat-10606	100	28	the	the	DET
easat-10606	100	29	mining	mining	NOUN
easat-10606	100	30	of	of	ADP
easat-10606	100	31	opinions	opinion	NOUN
easat-10606	100	32	,	,	PUNCT
easat-10606	100	33	views	view	NOUN
easat-10606	100	34	,	,	PUNCT
easat-10606	100	35	attitudes	attitude	NOUN
easat-10606	100	36	,	,	PUNCT
easat-10606	100	37	and	and	CCONJ
easat-10606	100	38	emotions	emotion	NOUN
easat-10606	100	39	from	from	ADP
easat-10606	100	40	text	text	NOUN
easat-10606	100	41	,	,	PUNCT
easat-10606	100	42	tweets	tweet	NOUN
easat-10606	100	43	,	,	PUNCT
easat-10606	100	44	speech	speech	NOUN
easat-10606	100	45	,	,	PUNCT
easat-10606	100	46	and	and	CCONJ
easat-10606	100	47	database	database	NOUN
easat-10606	100	48	sources	source	NOUN
easat-10606	100	49	through	through	ADP
easat-10606	100	50	nlp	nlp	NOUN
easat-10606	100	51	[	[	X
easat-10606	100	52	26	26	NUM
easat-10606	100	53	]	]	PUNCT
easat-10606	100	54	.	.	PUNCT
easat-10606	101	1	sentiment	sentiment	NOUN
easat-10606	101	2	analysis	analysis	NOUN
easat-10606	101	3	uses	use	VERB
easat-10606	101	4	computer	computer	NOUN
easat-10606	101	5	methods	method	NOUN
easat-10606	101	6	to	to	PART
easat-10606	101	7	examine	examine	VERB
easat-10606	101	8	how	how	SCONJ
easat-10606	101	9	individuals	individual	NOUN
easat-10606	101	10	feel	feel	VERB
easat-10606	101	11	and	and	CCONJ
easat-10606	101	12	think	think	VERB
easat-10606	101	13	about	about	ADP
easat-10606	101	14	specific	specific	ADJ
easat-10606	101	15	issues	issue	NOUN
easat-10606	101	16	expressed	express	VERB
easat-10606	101	17	in	in	ADP
easat-10606	101	18	text	text	NOUN
easat-10606	101	19	data	datum	NOUN
easat-10606	101	20	.	.	PUNCT
easat-10606	102	1	the	the	DET
easat-10606	102	2	idea	idea	NOUN
easat-10606	102	3	behind	behind	ADP
easat-10606	102	4	sentiment	sentiment	NOUN
easat-10606	102	5	analysis	analysis	NOUN
easat-10606	102	6	is	be	AUX
easat-10606	102	7	to	to	PART
easat-10606	102	8	analyze	analyze	VERB
easat-10606	102	9	a	a	DET
easat-10606	102	10	collection	collection	NOUN
easat-10606	102	11	of	of	ADP
easat-10606	102	12	text	text	NOUN
easat-10606	102	13	data	datum	NOUN
easat-10606	102	14	to	to	PART
easat-10606	102	15	understand	understand	VERB
easat-10606	102	16	the	the	DET
easat-10606	102	17	opinion	opinion	NOUN
easat-10606	102	18	or	or	CCONJ
easat-10606	102	19	sentiment	sentiment	NOUN
easat-10606	102	20	conveyed	convey	VERB
easat-10606	102	21	.	.	PUNCT
easat-10606	103	1	this	this	PRON
easat-10606	103	2	is	be	AUX
easat-10606	103	3	typically	typically	ADV
easat-10606	103	4	achieved	achieve	VERB
easat-10606	103	5	by	by	ADP
easat-10606	103	6	determining	determine	VERB
easat-10606	103	7	the	the	DET
easat-10606	103	8	sentiment	sentiment	NOUN
easat-10606	103	9	within	within	ADP
easat-10606	103	10	the	the	DET
easat-10606	103	11	text	text	NOUN
easat-10606	103	12	and	and	CCONJ
easat-10606	103	13	assigning	assign	VERB
easat-10606	103	14	a	a	DET
easat-10606	103	15	positive	positive	ADJ
easat-10606	103	16	,	,	PUNCT
easat-10606	103	17	negative	negative	ADJ
easat-10606	103	18	,	,	PUNCT
easat-10606	103	19	or	or	CCONJ
easat-10606	103	20	neutral	neutral	ADJ
easat-10606	103	21	value	value	NOUN
easat-10606	103	22	,	,	PUNCT
easat-10606	103	23	known	know	VERB
easat-10606	103	24	as	as	ADP
easat-10606	103	25	polarity	polarity	NOUN
easat-10606	103	26	.	.	PUNCT
easat-10606	104	1	the	the	DET
easat-10606	104	2	overall	overall	ADJ
easat-10606	104	3	sentiment	sentiment	NOUN
easat-10606	104	4	can	can	AUX
easat-10606	104	5	often	often	ADV
easat-10606	104	6	be	be	AUX
easat-10606	104	7	identified	identify	VERB
easat-10606	104	8	by	by	ADP
easat-10606	104	9	the	the	DET
easat-10606	104	10	polarity	polarity	NOUN
easat-10606	104	11	's	's	PART
easat-10606	104	12	sign	sign	NOUN
easat-10606	104	13	and	and	CCONJ
easat-10606	104	14	classified	classify	VERB
easat-10606	104	15	accordingly	accordingly	ADV
easat-10606	104	16	.	.	PUNCT
easat-10606	105	1	therefore	therefore	ADV
easat-10606	105	2	,	,	PUNCT
easat-10606	105	3	sentiment	sentiment	NOUN
easat-10606	105	4	analysis	analysis	NOUN
easat-10606	105	5	has	have	VERB
easat-10606	105	6	a	a	DET
easat-10606	105	7	significant	significant	ADJ
easat-10606	105	8	impact	impact	NOUN
easat-10606	105	9	on	on	ADP
easat-10606	105	10	texts	text	NOUN
easat-10606	105	11	containing	contain	VERB
easat-10606	105	12	emotions	emotion	NOUN
easat-10606	105	13	or	or	CCONJ
easat-10606	105	14	dispositions	disposition	NOUN
easat-10606	105	15	of	of	ADP
easat-10606	105	16	any	any	DET
easat-10606	105	17	kind	kind	NOUN
easat-10606	105	18	.	.	PUNCT
easat-10606	106	1	research	research	NOUN
easat-10606	106	2	has	have	AUX
easat-10606	106	3	demonstrated	demonstrate	VERB
easat-10606	106	4	that	that	SCONJ
easat-10606	106	5	using	use	VERB
easat-10606	106	6	student	student	NOUN
easat-10606	106	7	feedback	feedback	NOUN
easat-10606	106	8	to	to	PART
easat-10606	106	9	assess	assess	VERB
easat-10606	106	10	teaching	teaching	NOUN
easat-10606	106	11	and	and	CCONJ
easat-10606	106	12	learning	learning	NOUN
easat-10606	106	13	improves	improve	VERB
easat-10606	106	14	the	the	DET
easat-10606	106	15	provision	provision	NOUN
easat-10606	106	16	of	of	ADP
easat-10606	106	17	high	high	ADJ
easat-10606	106	18	-	-	PUNCT
easat-10606	106	19	quality	quality	NOUN
easat-10606	106	20	instruction	instruction	NOUN
easat-10606	106	21	.	.	PUNCT
easat-10606	107	1	moreover	moreover	ADV
easat-10606	107	2	,	,	PUNCT
easat-10606	107	3	a	a	DET
easat-10606	107	4	variety	variety	NOUN
easat-10606	107	5	of	of	ADP
easat-10606	107	6	manual	manual	ADJ
easat-10606	107	7	techniques	technique	NOUN
easat-10606	107	8	,	,	PUNCT
easat-10606	107	9	including	include	VERB
easat-10606	107	10	audience	audience	NOUN
easat-10606	107	11	response	response	NOUN
easat-10606	107	12	,	,	PUNCT
easat-10606	107	13	questionnaires	questionnaire	NOUN
easat-10606	107	14	,	,	PUNCT
easat-10606	107	15	and	and	CCONJ
easat-10606	107	16	polling	polling	NOUN
easat-10606	107	17	,	,	PUNCT
easat-10606	107	18	have	have	AUX
easat-10606	107	19	been	be	AUX
easat-10606	107	20	employed	employ	VERB
easat-10606	107	21	to	to	PART
easat-10606	107	22	evaluate	evaluate	VERB
easat-10606	107	23	the	the	DET
easat-10606	107	24	opinions	opinion	NOUN
easat-10606	107	25	that	that	PRON
easat-10606	107	26	students	student	NOUN
easat-10606	107	27	have	have	AUX
easat-10606	107	28	supplied	supply	VERB
easat-10606	107	29	.	.	PUNCT
easat-10606	108	1	however	however	ADV
easat-10606	108	2	,	,	PUNCT
easat-10606	108	3	the	the	DET
easat-10606	108	4	existing	exist	VERB
easat-10606	108	5	approach	approach	NOUN
easat-10606	108	6	,	,	PUNCT
easat-10606	108	7	which	which	PRON
easat-10606	108	8	involves	involve	VERB
easat-10606	108	9	manually	manually	ADV
easat-10606	108	10	assessing	assess	VERB
easat-10606	108	11	and	and	CCONJ
easat-10606	108	12	handling	handle	VERB
easat-10606	108	13	qualitative	qualitative	ADJ
easat-10606	108	14	1152	1152	NUM
easat-10606	108	15	edelweiss	edelweiss	PROPN
easat-10606	108	16	applied	apply	VERB
easat-10606	108	17	science	science	NOUN
easat-10606	108	18	and	and	CCONJ
easat-10606	108	19	technology	technology	NOUN
easat-10606	108	20	issn	issn	PROPN
easat-10606	108	21	:	:	PUNCT
easat-10606	108	22	2576	2576	NUM
easat-10606	108	23	-	-	SYM
easat-10606	108	24	8484	8484	NUM
easat-10606	108	25	vol	vol	NOUN
easat-10606	108	26	.	.	PROPN
easat-10606	109	1	9	9	NUM
easat-10606	109	2	,	,	PUNCT
easat-10606	109	3	no	no	INTJ
easat-10606	109	4	.	.	NOUN
easat-10606	109	5	10	10	NUM
easat-10606	109	6	:	:	SYM
easat-10606	109	7	1149	1149	NUM
easat-10606	109	8	-	-	SYM
easat-10606	109	9	1180	1180	NUM
easat-10606	109	10	,	,	PUNCT
easat-10606	109	11	2025	2025	NUM
easat-10606	109	12	doi	doi	NOUN
easat-10606	109	13	:	:	PUNCT
easat-10606	109	14	10.55214/2576	10.55214/2576	NUM
easat-10606	109	15	-	-	SYM
easat-10606	109	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	109	17	©	©	ADP
easat-10606	109	18	2025	2025	NUM
easat-10606	109	19	by	by	ADP
easat-10606	109	20	the	the	DET
easat-10606	109	21	authors	author	NOUN
easat-10606	109	22	;	;	PUNCT
easat-10606	109	23	licensee	licensee	PROPN
easat-10606	109	24	learning	learning	NOUN
easat-10606	109	25	gate	gate	NOUN
easat-10606	109	26	as	as	ADV
easat-10606	109	27	well	well	ADV
easat-10606	109	28	as	as	ADP
easat-10606	109	29	formative	formative	ADJ
easat-10606	109	30	remarks	remark	NOUN
easat-10606	109	31	or	or	CCONJ
easat-10606	109	32	opinions	opinion	NOUN
easat-10606	109	33	of	of	ADP
easat-10606	109	34	thousands	thousand	NOUN
easat-10606	109	35	of	of	ADP
easat-10606	109	36	students	student	NOUN
easat-10606	109	37	,	,	PUNCT
easat-10606	109	38	is	be	AUX
easat-10606	109	39	ineffective	ineffective	ADJ
easat-10606	109	40	and	and	CCONJ
easat-10606	109	41	presents	present	VERB
easat-10606	109	42	a	a	DET
easat-10606	109	43	difficult	difficult	ADJ
easat-10606	109	44	issue	issue	NOUN
easat-10606	109	45	in	in	ADP
easat-10606	109	46	the	the	DET
easat-10606	109	47	education	education	NOUN
easat-10606	109	48	arena	arena	NOUN
easat-10606	109	49	(	(	PUNCT
easat-10606	109	50	hei	hei	PROPN
easat-10606	109	51	)	)	PUNCT
easat-10606	109	52	.	.	PUNCT
easat-10606	110	1	this	this	PRON
easat-10606	110	2	is	be	AUX
easat-10606	110	3	because	because	SCONJ
easat-10606	110	4	it	it	PRON
easat-10606	110	5	could	could	AUX
easat-10606	110	6	result	result	VERB
easat-10606	110	7	in	in	ADP
easat-10606	110	8	arbitrary	arbitrary	ADJ
easat-10606	110	9	and	and	CCONJ
easat-10606	110	10	inconsistent	inconsistent	ADJ
easat-10606	110	11	interpretations	interpretation	NOUN
easat-10606	110	12	,	,	PUNCT
easat-10606	110	13	thereby	thereby	ADV
easat-10606	110	14	decreasing	decrease	VERB
easat-10606	110	15	the	the	DET
easat-10606	110	16	accuracy	accuracy	NOUN
easat-10606	110	17	and	and	CCONJ
easat-10606	110	18	consistency	consistency	NOUN
easat-10606	110	19	of	of	ADP
easat-10606	110	20	the	the	DET
easat-10606	110	21	findings	finding	NOUN
easat-10606	110	22	.	.	PUNCT
easat-10606	111	1	similarly	similarly	ADV
easat-10606	111	2	,	,	PUNCT
easat-10606	111	3	the	the	DET
easat-10606	111	4	manual	manual	ADJ
easat-10606	111	5	approach	approach	NOUN
easat-10606	111	6	is	be	AUX
easat-10606	111	7	vulnerable	vulnerable	ADJ
easat-10606	111	8	to	to	ADP
easat-10606	111	9	human	human	ADJ
easat-10606	111	10	error	error	NOUN
easat-10606	111	11	,	,	PUNCT
easat-10606	111	12	primarily	primarily	ADV
easat-10606	111	13	due	due	ADP
easat-10606	111	14	to	to	ADP
easat-10606	111	15	tiredness	tiredness	NOUN
easat-10606	111	16	from	from	ADP
easat-10606	111	17	performing	perform	VERB
easat-10606	111	18	repetitive	repetitive	ADJ
easat-10606	111	19	tasks	task	NOUN
easat-10606	111	20	manually	manually	ADV
easat-10606	111	21	.	.	PUNCT
easat-10606	112	1	therefore	therefore	ADV
easat-10606	112	2	,	,	PUNCT
easat-10606	112	3	the	the	DET
easat-10606	112	4	need	need	NOUN
easat-10606	112	5	for	for	ADP
easat-10606	112	6	a	a	DET
easat-10606	112	7	computational	computational	ADJ
easat-10606	112	8	model	model	NOUN
easat-10606	112	9	that	that	PRON
easat-10606	112	10	analyzes	analyze	VERB
easat-10606	112	11	the	the	DET
easat-10606	112	12	opinions	opinion	NOUN
easat-10606	112	13	given	give	VERB
easat-10606	112	14	by	by	ADP
easat-10606	112	15	students	student	NOUN
easat-10606	112	16	and	and	CCONJ
easat-10606	112	17	polarizes	polarize	VERB
easat-10606	112	18	the	the	DET
easat-10606	112	19	results	result	NOUN
easat-10606	112	20	for	for	ADP
easat-10606	112	21	decision	decision	NOUN
easat-10606	112	22	-	-	PUNCT
easat-10606	112	23	making	making	NOUN
easat-10606	112	24	emerges	emerge	NOUN
easat-10606	112	25	in	in	ADP
easat-10606	112	26	the	the	DET
easat-10606	112	27	context	context	NOUN
easat-10606	112	28	of	of	ADP
easat-10606	112	29	mining	mining	NOUN
easat-10606	112	30	and	and	CCONJ
easat-10606	112	31	evaluating	evaluate	VERB
easat-10606	112	32	university	university	NOUN
easat-10606	112	33	students	student	NOUN
easat-10606	112	34	'	'	PART
easat-10606	112	35	informal	informal	ADJ
easat-10606	112	36	remarks	remark	NOUN
easat-10606	112	37	.	.	PUNCT
easat-10606	113	1	there	there	PRON
easat-10606	113	2	have	have	AUX
easat-10606	113	3	been	be	AUX
easat-10606	113	4	various	various	ADJ
easat-10606	113	5	approaches	approach	NOUN
easat-10606	113	6	that	that	PRON
easat-10606	113	7	have	have	AUX
easat-10606	113	8	been	be	AUX
easat-10606	113	9	employed	employ	VERB
easat-10606	113	10	for	for	ADP
easat-10606	113	11	solving	solve	VERB
easat-10606	113	12	students	student	NOUN
easat-10606	113	13	'	'	PART
easat-10606	113	14	feedback	feedback	NOUN
easat-10606	113	15	problems	problem	NOUN
easat-10606	113	16	using	use	VERB
easat-10606	113	17	opinion	opinion	NOUN
easat-10606	113	18	mining	mining	NOUN
easat-10606	113	19	[	[	X
easat-10606	113	20	27	27	NUM
easat-10606	113	21	,	,	PUNCT
easat-10606	113	22	28	28	NUM
easat-10606	113	23	]	]	PUNCT
easat-10606	113	24	.	.	PUNCT
easat-10606	114	1	these	these	PRON
easat-10606	114	2	include	include	VERB
easat-10606	114	3	methodologies	methodology	NOUN
easat-10606	114	4	such	such	ADJ
easat-10606	114	5	as	as	ADP
easat-10606	114	6	naïve	naïve	ADJ
easat-10606	114	7	bayes	bayes	NOUN
easat-10606	114	8	(	(	PUNCT
easat-10606	114	9	nb	nb	NOUN
easat-10606	114	10	)	)	PUNCT
easat-10606	114	11	.	.	PUNCT
easat-10606	115	1	for	for	ADP
easat-10606	115	2	example	example	NOUN
easat-10606	115	3	,	,	PUNCT
easat-10606	115	4	amusa	amusa	PROPN
easat-10606	115	5	et	et	PROPN
easat-10606	115	6	al	al	PROPN
easat-10606	115	7	.	.	PUNCT
easat-10606	116	1	[	[	X
easat-10606	116	2	29	29	NUM
easat-10606	116	3	]	]	PUNCT
easat-10606	116	4	and	and	CCONJ
easat-10606	116	5	alade	alade	NOUN
easat-10606	116	6	and	and	CCONJ
easat-10606	116	7	nwankpa	nwankpa	ADJ
easat-10606	116	8	[	[	X
easat-10606	116	9	13	13	NUM
easat-10606	116	10	]	]	PUNCT
easat-10606	116	11	addressed	address	VERB
easat-10606	116	12	the	the	DET
easat-10606	116	13	challenge	challenge	NOUN
easat-10606	116	14	of	of	ADP
easat-10606	116	15	obtaining	obtain	VERB
easat-10606	116	16	feedback	feedback	NOUN
easat-10606	116	17	from	from	ADP
easat-10606	116	18	education	education	NOUN
easat-10606	116	19	using	use	VERB
easat-10606	116	20	sentiment	sentiment	NOUN
easat-10606	116	21	analysis	analysis	NOUN
easat-10606	116	22	.	.	PUNCT
easat-10606	117	1	however	however	ADV
easat-10606	117	2	,	,	PUNCT
easat-10606	117	3	other	other	ADJ
easat-10606	117	4	methodologies	methodology	NOUN
easat-10606	117	5	such	such	ADJ
easat-10606	117	6	as	as	ADP
easat-10606	117	7	k	k	NOUN
easat-10606	117	8	-	-	PUNCT
easat-10606	117	9	nearest	near	ADJ
easat-10606	117	10	neighbor	neighbor	NOUN
easat-10606	117	11	(	(	PUNCT
easat-10606	117	12	knn	knn	PROPN
easat-10606	117	13	)	)	PUNCT
easat-10606	117	14	,	,	PUNCT
easat-10606	117	15	support	support	NOUN
easat-10606	117	16	vector	vector	NOUN
easat-10606	117	17	machine	machine	NOUN
easat-10606	117	18	(	(	PUNCT
easat-10606	117	19	svm	svm	PROPN
easat-10606	117	20	)	)	PUNCT
easat-10606	117	21	,	,	PUNCT
easat-10606	117	22	decision	decision	NOUN
easat-10606	117	23	tree	tree	NOUN
easat-10606	117	24	,	,	PUNCT
easat-10606	117	25	regression	regression	NOUN
easat-10606	117	26	,	,	PUNCT
easat-10606	117	27	and	and	CCONJ
easat-10606	117	28	others	other	NOUN
easat-10606	117	29	have	have	AUX
easat-10606	117	30	been	be	AUX
easat-10606	117	31	employed	employ	VERB
easat-10606	117	32	to	to	PART
easat-10606	117	33	predict	predict	VERB
easat-10606	117	34	student	student	NOUN
easat-10606	117	35	performance	performance	NOUN
easat-10606	117	36	and	and	CCONJ
easat-10606	117	37	their	their	PRON
easat-10606	117	38	feedback	feedback	NOUN
easat-10606	117	39	.	.	PUNCT
easat-10606	118	1	however	however	ADV
easat-10606	118	2	,	,	PUNCT
easat-10606	118	3	innovative	innovative	ADJ
easat-10606	118	4	and	and	CCONJ
easat-10606	118	5	economical	economical	ADJ
easat-10606	118	6	methods	method	NOUN
easat-10606	118	7	,	,	PUNCT
easat-10606	118	8	according	accord	VERB
easat-10606	118	9	to	to	ADP
easat-10606	118	10	ngwira	ngwira	PROPN
easat-10606	118	11	et	et	PROPN
easat-10606	118	12	al	al	PROPN
easat-10606	118	13	.	.	PUNCT
easat-10606	119	1	[	[	X
easat-10606	119	2	30	30	NUM
easat-10606	119	3	]	]	PUNCT
easat-10606	119	4	,	,	PUNCT
easat-10606	119	5	are	be	AUX
easat-10606	119	6	required	require	VERB
easat-10606	119	7	by	by	ADP
easat-10606	119	8	researchers	researcher	NOUN
easat-10606	119	9	to	to	PART
easat-10606	119	10	effectively	effectively	ADV
easat-10606	119	11	assess	assess	VERB
easat-10606	119	12	students	student	NOUN
easat-10606	119	13	'	'	PART
easat-10606	119	14	reviews	review	NOUN
easat-10606	119	15	and	and	CCONJ
easat-10606	119	16	process	process	VERB
easat-10606	119	17	them	they	PRON
easat-10606	119	18	efficiently	efficiently	ADV
easat-10606	119	19	.	.	PUNCT
easat-10606	120	1	the	the	DET
easat-10606	120	2	main	main	ADJ
easat-10606	120	3	objective	objective	NOUN
easat-10606	120	4	of	of	ADP
easat-10606	120	5	the	the	DET
easat-10606	120	6	study	study	NOUN
easat-10606	120	7	is	be	AUX
easat-10606	120	8	to	to	PART
easat-10606	120	9	develop	develop	VERB
easat-10606	120	10	a	a	DET
easat-10606	120	11	stacking	stacking	NOUN
easat-10606	120	12	ensemble	ensemble	ADJ
easat-10606	120	13	model	model	NOUN
easat-10606	120	14	for	for	ADP
easat-10606	120	15	students	student	NOUN
easat-10606	120	16	'	'	PART
easat-10606	120	17	feedback	feedback	NOUN
easat-10606	120	18	prediction	prediction	NOUN
easat-10606	120	19	with	with	ADP
easat-10606	120	20	multiple	multiple	ADJ
easat-10606	120	21	predictors	predictor	NOUN
easat-10606	120	22	,	,	PUNCT
easat-10606	120	23	to	to	PART
easat-10606	120	24	examine	examine	VERB
easat-10606	120	25	the	the	DET
easat-10606	120	26	existing	exist	VERB
easat-10606	120	27	research	research	NOUN
easat-10606	120	28	related	relate	VERB
easat-10606	120	29	to	to	ADP
easat-10606	120	30	the	the	DET
easat-10606	120	31	performance	performance	NOUN
easat-10606	120	32	of	of	ADP
easat-10606	120	33	students	student	NOUN
easat-10606	120	34	'	'	PART
easat-10606	120	35	feedback	feedback	NOUN
easat-10606	120	36	models	model	NOUN
easat-10606	120	37	,	,	PUNCT
easat-10606	120	38	and	and	CCONJ
easat-10606	120	39	to	to	PART
easat-10606	120	40	test	test	VERB
easat-10606	120	41	and	and	CCONJ
easat-10606	120	42	validate	validate	VERB
easat-10606	120	43	the	the	DET
easat-10606	120	44	proposed	propose	VERB
easat-10606	120	45	model	model	NOUN
easat-10606	120	46	using	use	VERB
easat-10606	120	47	various	various	ADJ
easat-10606	120	48	performance	performance	NOUN
easat-10606	120	49	metrics	metric	NOUN
easat-10606	120	50	.	.	PUNCT
easat-10606	121	1	specifically	specifically	ADV
easat-10606	121	2	,	,	PUNCT
easat-10606	121	3	four	four	NUM
easat-10606	121	4	machine	machine	NOUN
easat-10606	121	5	learning	learning	NOUN
easat-10606	121	6	models	model	NOUN
easat-10606	121	7	,	,	PUNCT
easat-10606	121	8	linear	linear	ADJ
easat-10606	121	9	regression	regression	NOUN
easat-10606	121	10	(	(	PUNCT
easat-10606	121	11	lr	lr	NOUN
easat-10606	121	12	)	)	PUNCT
easat-10606	121	13	,	,	PUNCT
easat-10606	121	14	support	support	NOUN
easat-10606	121	15	vector	vector	NOUN
easat-10606	121	16	machine	machine	NOUN
easat-10606	121	17	(	(	PUNCT
easat-10606	121	18	svm	svm	PROPN
easat-10606	121	19	)	)	PUNCT
easat-10606	121	20	,	,	PUNCT
easat-10606	121	21	multilayer	multilayer	PROPN
easat-10606	121	22	perceptron	perceptron	PROPN
easat-10606	121	23	neural	neural	PROPN
easat-10606	121	24	network	network	PROPN
easat-10606	121	25	(	(	PUNCT
easat-10606	121	26	mlp	mlp	NOUN
easat-10606	121	27	)	)	PUNCT
easat-10606	121	28	,	,	PUNCT
easat-10606	121	29	and	and	CCONJ
easat-10606	121	30	naïve	naïve	ADJ
easat-10606	121	31	bayes	bayes	NOUN
easat-10606	121	32	(	(	PUNCT
easat-10606	121	33	nb	nb	INTJ
easat-10606	121	34	)	)	PUNCT
easat-10606	121	35	were	be	AUX
easat-10606	121	36	used	use	VERB
easat-10606	121	37	as	as	ADP
easat-10606	121	38	base	base	NOUN
easat-10606	121	39	learners	learner	NOUN
easat-10606	121	40	due	due	ADP
easat-10606	121	41	to	to	ADP
easat-10606	121	42	their	their	PRON
easat-10606	121	43	high	high	ADJ
easat-10606	121	44	popularity	popularity	NOUN
easat-10606	121	45	and	and	CCONJ
easat-10606	121	46	good	good	ADJ
easat-10606	121	47	performance	performance	NOUN
easat-10606	121	48	in	in	ADP
easat-10606	121	49	previous	previous	ADJ
easat-10606	121	50	studies	study	NOUN
easat-10606	121	51	.	.	PUNCT
easat-10606	122	1	a	a	DET
easat-10606	122	2	dataset	dataset	NOUN
easat-10606	122	3	from	from	ADP
easat-10606	122	4	a	a	DET
easat-10606	122	5	higher	high	ADJ
easat-10606	122	6	educational	educational	ADJ
easat-10606	122	7	institution	institution	NOUN
easat-10606	122	8	was	be	AUX
easat-10606	122	9	used	use	VERB
easat-10606	122	10	,	,	PUNCT
easat-10606	122	11	partitioned	partition	VERB
easat-10606	122	12	into	into	ADP
easat-10606	122	13	training	training	NOUN
easat-10606	122	14	and	and	CCONJ
easat-10606	122	15	test	test	NOUN
easat-10606	122	16	data	datum	NOUN
easat-10606	122	17	,	,	PUNCT
easat-10606	122	18	and	and	CCONJ
easat-10606	122	19	the	the	DET
easat-10606	122	20	model	model	NOUN
easat-10606	122	21	was	be	AUX
easat-10606	122	22	implemented	implement	VERB
easat-10606	122	23	using	use	VERB
easat-10606	122	24	the	the	DET
easat-10606	122	25	python	python	NOUN
easat-10606	122	26	programming	programming	NOUN
easat-10606	122	27	language	language	NOUN
easat-10606	122	28	.	.	PUNCT
easat-10606	123	1	the	the	DET
easat-10606	123	2	rest	rest	NOUN
easat-10606	123	3	of	of	ADP
easat-10606	123	4	the	the	DET
easat-10606	123	5	paper	paper	NOUN
easat-10606	123	6	is	be	AUX
easat-10606	123	7	organized	organize	VERB
easat-10606	123	8	as	as	SCONJ
easat-10606	123	9	follows	follow	VERB
easat-10606	123	10	:	:	PUNCT
easat-10606	123	11	section	section	NOUN
easat-10606	123	12	2	2	NUM
easat-10606	123	13	presents	present	VERB
easat-10606	123	14	the	the	DET
easat-10606	123	15	literature	literature	NOUN
easat-10606	123	16	review	review	NOUN
easat-10606	123	17	and	and	CCONJ
easat-10606	123	18	related	related	ADJ
easat-10606	123	19	work	work	NOUN
easat-10606	123	20	in	in	ADP
easat-10606	123	21	the	the	DET
easat-10606	123	22	field	field	NOUN
easat-10606	123	23	of	of	ADP
easat-10606	123	24	sentence	sentence	NOUN
easat-10606	123	25	-	-	PUNCT
easat-10606	123	26	based	base	VERB
easat-10606	123	27	sentiment	sentiment	NOUN
easat-10606	123	28	analysis	analysis	NOUN
easat-10606	123	29	.	.	PUNCT
easat-10606	124	1	in	in	ADP
easat-10606	124	2	section	section	NOUN
easat-10606	124	3	3	3	NUM
easat-10606	124	4	,	,	PUNCT
easat-10606	124	5	the	the	DET
easat-10606	124	6	paper	paper	NOUN
easat-10606	124	7	presents	present	VERB
easat-10606	124	8	the	the	DET
easat-10606	124	9	proposed	propose	VERB
easat-10606	124	10	model	model	NOUN
easat-10606	124	11	and	and	CCONJ
easat-10606	124	12	discusses	discuss	VERB
easat-10606	124	13	a	a	DET
easat-10606	124	14	detailed	detailed	ADJ
easat-10606	124	15	methodology	methodology	NOUN
easat-10606	124	16	for	for	ADP
easat-10606	124	17	accomplishing	accomplish	VERB
easat-10606	124	18	the	the	DET
easat-10606	124	19	task	task	NOUN
easat-10606	124	20	of	of	ADP
easat-10606	124	21	mining	mining	NOUN
easat-10606	124	22	students	student	NOUN
easat-10606	124	23	'	'	PART
easat-10606	124	24	feedback	feedback	NOUN
easat-10606	124	25	,	,	PUNCT
easat-10606	124	26	the	the	DET
easat-10606	124	27	evaluation	evaluation	NOUN
easat-10606	124	28	metrics	metric	NOUN
easat-10606	124	29	,	,	PUNCT
easat-10606	124	30	and	and	CCONJ
easat-10606	124	31	sentiment	sentiment	NOUN
easat-10606	124	32	prediction	prediction	NOUN
easat-10606	124	33	.	.	PUNCT
easat-10606	125	1	experiments	experiment	NOUN
easat-10606	125	2	,	,	PUNCT
easat-10606	125	3	results	result	NOUN
easat-10606	125	4	,	,	PUNCT
easat-10606	125	5	and	and	CCONJ
easat-10606	125	6	discussion	discussion	NOUN
easat-10606	125	7	are	be	AUX
easat-10606	125	8	presented	present	VERB
easat-10606	125	9	in	in	ADP
easat-10606	125	10	section	section	NOUN
easat-10606	125	11	4	4	NUM
easat-10606	125	12	,	,	PUNCT
easat-10606	125	13	including	include	VERB
easat-10606	125	14	the	the	DET
easat-10606	125	15	comparison	comparison	NOUN
easat-10606	125	16	of	of	ADP
easat-10606	125	17	model	model	NOUN
easat-10606	125	18	performances	performance	NOUN
easat-10606	125	19	,	,	PUNCT
easat-10606	125	20	the	the	DET
easat-10606	125	21	examination	examination	NOUN
easat-10606	125	22	of	of	ADP
easat-10606	125	23	the	the	DET
easat-10606	125	24	performance	performance	NOUN
easat-10606	125	25	at	at	ADP
easat-10606	125	26	different	different	ADJ
easat-10606	125	27	time	time	NOUN
easat-10606	125	28	scales	scale	NOUN
easat-10606	125	29	,	,	PUNCT
easat-10606	125	30	and	and	CCONJ
easat-10606	125	31	the	the	DET
easat-10606	125	32	discussion	discussion	NOUN
easat-10606	125	33	of	of	ADP
easat-10606	125	34	prediction	prediction	NOUN
easat-10606	125	35	results	result	NOUN
easat-10606	125	36	.	.	PUNCT
easat-10606	126	1	section	section	NOUN
easat-10606	126	2	5	5	NUM
easat-10606	126	3	concludes	conclude	VERB
easat-10606	126	4	the	the	DET
easat-10606	126	5	paper	paper	NOUN
easat-10606	126	6	with	with	ADP
easat-10606	126	7	future	future	ADJ
easat-10606	126	8	directions	direction	NOUN
easat-10606	126	9	.	.	PUNCT
easat-10606	127	1	1.1	1.1	NUM
easat-10606	127	2	.	.	PUNCT
easat-10606	127	3	background	background	NOUN
easat-10606	127	4	1.1.1	1.1.1	NUM
easat-10606	127	5	.	.	PUNCT
easat-10606	128	1	machine	machine	NOUN
easat-10606	128	2	learning	learn	VERB
easat-10606	128	3	this	this	PRON
easat-10606	128	4	is	be	AUX
easat-10606	128	5	the	the	DET
easat-10606	128	6	field	field	NOUN
easat-10606	128	7	of	of	ADP
easat-10606	128	8	study	study	NOUN
easat-10606	128	9	that	that	PRON
easat-10606	128	10	analyzes	analyze	VERB
easat-10606	128	11	or	or	CCONJ
easat-10606	128	12	examines	examine	VERB
easat-10606	128	13	the	the	DET
easat-10606	128	14	use	use	NOUN
easat-10606	128	15	of	of	ADP
easat-10606	128	16	computational	computational	ADJ
easat-10606	128	17	algorithms	algorithm	NOUN
easat-10606	128	18	and	and	CCONJ
easat-10606	128	19	converts	convert	NOUN
easat-10606	128	20	,	,	PUNCT
easat-10606	128	21	changes	change	NOUN
easat-10606	128	22	,	,	PUNCT
easat-10606	128	23	or	or	CCONJ
easat-10606	128	24	transforms	transform	VERB
easat-10606	128	25	empirical	empirical	ADJ
easat-10606	128	26	data	datum	NOUN
easat-10606	128	27	into	into	ADP
easat-10606	128	28	usable	usable	ADJ
easat-10606	128	29	models	model	NOUN
easat-10606	128	30	[	[	X
easat-10606	128	31	31	31	NUM
easat-10606	128	32	]	]	PUNCT
easat-10606	128	33	.	.	PUNCT
easat-10606	129	1	therefore	therefore	ADV
easat-10606	129	2	,	,	PUNCT
easat-10606	129	3	it	it	PRON
easat-10606	129	4	is	be	AUX
easat-10606	129	5	considered	consider	VERB
easat-10606	129	6	a	a	DET
easat-10606	129	7	multidisciplinary	multidisciplinary	ADJ
easat-10606	129	8	and	and	CCONJ
easat-10606	129	9	interdisciplinary	interdisciplinary	ADJ
easat-10606	129	10	field	field	NOUN
easat-10606	129	11	of	of	ADP
easat-10606	129	12	artificial	artificial	ADJ
easat-10606	129	13	intelligence	intelligence	NOUN
easat-10606	129	14	,	,	PUNCT
easat-10606	129	15	which	which	PRON
easat-10606	129	16	includes	include	VERB
easat-10606	129	17	the	the	DET
easat-10606	129	18	following	follow	VERB
easat-10606	129	19	domains	domain	NOUN
easat-10606	129	20	:	:	PUNCT
easat-10606	129	21	mathematics	mathematic	NOUN
easat-10606	129	22	,	,	PUNCT
easat-10606	129	23	data	datum	NOUN
easat-10606	129	24	mining	mining	NOUN
easat-10606	129	25	,	,	PUNCT
easat-10606	129	26	natural	natural	ADJ
easat-10606	129	27	language	language	NOUN
easat-10606	129	28	processing	processing	NOUN
easat-10606	129	29	,	,	PUNCT
easat-10606	129	30	computer	computer	NOUN
easat-10606	129	31	science	science	NOUN
easat-10606	129	32	,	,	PUNCT
easat-10606	129	33	and	and	CCONJ
easat-10606	129	34	deep	deep	ADJ
easat-10606	129	35	learning	learning	NOUN
easat-10606	129	36	[	[	X
easat-10606	129	37	32	32	NUM
easat-10606	129	38	]	]	PUNCT
easat-10606	129	39	.	.	PUNCT
easat-10606	130	1	ml	ml	NOUN
easat-10606	130	2	techniques	technique	NOUN
easat-10606	130	3	can	can	AUX
easat-10606	130	4	be	be	AUX
easat-10606	130	5	either	either	CCONJ
easat-10606	130	6	supervised	supervised	ADJ
easat-10606	130	7	,	,	PUNCT
easat-10606	130	8	unsupervised	unsupervised	ADJ
easat-10606	130	9	,	,	PUNCT
easat-10606	130	10	or	or	CCONJ
easat-10606	130	11	semi	semi	ADV
easat-10606	130	12	-	-	ADJ
easat-10606	130	13	supervised	supervised	ADJ
easat-10606	130	14	,	,	PUNCT
easat-10606	130	15	and	and	CCONJ
easat-10606	130	16	they	they	PRON
easat-10606	130	17	use	use	VERB
easat-10606	130	18	language	language	NOUN
easat-10606	130	19	features	feature	NOUN
easat-10606	130	20	and	and	CCONJ
easat-10606	130	21	well	well	ADV
easat-10606	130	22	-	-	PUNCT
easat-10606	130	23	known	know	VERB
easat-10606	130	24	ml	ml	NOUN
easat-10606	130	25	algorithms	algorithm	NOUN
easat-10606	130	26	to	to	PART
easat-10606	130	27	categorize	categorize	VERB
easat-10606	130	28	opinions	opinion	NOUN
easat-10606	130	29	into	into	ADP
easat-10606	130	30	positive	positive	ADJ
easat-10606	130	31	or	or	CCONJ
easat-10606	130	32	negative	negative	ADJ
easat-10606	130	33	sentiments	sentiment	NOUN
easat-10606	130	34	.	.	PUNCT
easat-10606	131	1	the	the	DET
easat-10606	131	2	lexicon	lexicon	NOUN
easat-10606	131	3	-	-	PUNCT
easat-10606	131	4	based	base	VERB
easat-10606	131	5	method	method	NOUN
easat-10606	131	6	is	be	AUX
easat-10606	131	7	a	a	DET
easat-10606	131	8	set	set	NOUN
easat-10606	131	9	of	of	ADP
easat-10606	131	10	words	word	NOUN
easat-10606	131	11	or	or	CCONJ
easat-10606	131	12	phrases	phrase	NOUN
easat-10606	131	13	that	that	PRON
easat-10606	131	14	express	express	VERB
easat-10606	131	15	information	information	NOUN
easat-10606	131	16	about	about	ADP
easat-10606	131	17	positive	positive	ADJ
easat-10606	131	18	or	or	CCONJ
easat-10606	131	19	negative	negative	ADJ
easat-10606	131	20	polarity	polarity	NOUN
easat-10606	131	21	.	.	PUNCT
easat-10606	132	1	compared	compare	VERB
easat-10606	132	2	to	to	ADP
easat-10606	132	3	the	the	DET
easat-10606	132	4	ml	ml	PROPN
easat-10606	132	5	methodology	methodology	NOUN
easat-10606	132	6	,	,	PUNCT
easat-10606	132	7	the	the	DET
easat-10606	132	8	lexicon	lexicon	NOUN
easat-10606	132	9	-	-	PUNCT
easat-10606	132	10	based	base	VERB
easat-10606	132	11	method	method	NOUN
easat-10606	132	12	is	be	AUX
easat-10606	132	13	simpler	simple	ADJ
easat-10606	132	14	to	to	PART
easat-10606	132	15	understand	understand	VERB
easat-10606	132	16	and	and	CCONJ
easat-10606	132	17	implement	implement	VERB
easat-10606	132	18	.	.	PUNCT
easat-10606	133	1	however	however	ADV
easat-10606	133	2	,	,	PUNCT
easat-10606	133	3	it	it	PRON
easat-10606	133	4	is	be	AUX
easat-10606	133	5	restricted	restrict	VERB
easat-10606	133	6	by	by	ADP
easat-10606	133	7	the	the	DET
easat-10606	133	8	requirement	requirement	NOUN
easat-10606	133	9	of	of	ADP
easat-10606	133	10	engaging	engage	VERB
easat-10606	133	11	people	people	NOUN
easat-10606	133	12	in	in	ADP
easat-10606	133	13	the	the	DET
easat-10606	133	14	text	text	NOUN
easat-10606	133	15	analysis	analysis	NOUN
easat-10606	133	16	process	process	NOUN
easat-10606	133	17	,	,	PUNCT
easat-10606	133	18	as	as	SCONJ
easat-10606	133	19	shown	show	VERB
easat-10606	133	20	in	in	ADP
easat-10606	133	21	figure	figure	NOUN
easat-10606	133	22	1	1	NUM
easat-10606	133	23	.	.	PUNCT
easat-10606	134	1	the	the	DET
easat-10606	134	2	hybrid	hybrid	NOUN
easat-10606	134	3	method	method	NOUN
easat-10606	134	4	includes	include	VERB
easat-10606	134	5	both	both	DET
easat-10606	134	6	lexicon	lexicon	NOUN
easat-10606	134	7	-	-	PUNCT
easat-10606	134	8	based	base	VERB
easat-10606	134	9	and	and	CCONJ
easat-10606	134	10	machinelearning	machinelearne	VERB
easat-10606	134	11	techniques	technique	NOUN
easat-10606	134	12	.	.	PUNCT
easat-10606	135	1	1153	1153	NUM
easat-10606	135	2	edelweiss	edelweiss	PROPN
easat-10606	135	3	applied	apply	VERB
easat-10606	135	4	science	science	NOUN
easat-10606	135	5	and	and	CCONJ
easat-10606	135	6	technology	technology	NOUN
easat-10606	135	7	issn	issn	PROPN
easat-10606	135	8	:	:	PUNCT
easat-10606	135	9	2576	2576	NUM
easat-10606	135	10	-	-	SYM
easat-10606	135	11	8484	8484	NUM
easat-10606	135	12	vol	vol	NOUN
easat-10606	135	13	.	.	PROPN
easat-10606	136	1	9	9	NUM
easat-10606	136	2	,	,	PUNCT
easat-10606	136	3	no	no	INTJ
easat-10606	136	4	.	.	NOUN
easat-10606	136	5	10	10	NUM
easat-10606	136	6	:	:	SYM
easat-10606	136	7	1149	1149	NUM
easat-10606	136	8	-	-	SYM
easat-10606	136	9	1180	1180	NUM
easat-10606	136	10	,	,	PUNCT
easat-10606	136	11	2025	2025	NUM
easat-10606	136	12	doi	doi	NOUN
easat-10606	136	13	:	:	PUNCT
easat-10606	136	14	10.55214/2576	10.55214/2576	NUM
easat-10606	136	15	-	-	SYM
easat-10606	136	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	136	17	©	©	ADP
easat-10606	136	18	2025	2025	NUM
easat-10606	136	19	by	by	ADP
easat-10606	136	20	the	the	DET
easat-10606	136	21	authors	author	NOUN
easat-10606	136	22	;	;	PUNCT
easat-10606	136	23	licensee	licensee	PROPN
easat-10606	136	24	learning	learn	VERB
easat-10606	136	25	gate	gate	NOUN
easat-10606	136	26	figure	figure	NOUN
easat-10606	136	27	1	1	NUM
easat-10606	136	28	.	.	PUNCT
easat-10606	137	1	classification	classification	NOUN
easat-10606	137	2	of	of	ADP
easat-10606	137	3	sentiment	sentiment	NOUN
easat-10606	137	4	analysis	analysis	NOUN
easat-10606	137	5	methods	method	NOUN
easat-10606	137	6	.	.	PUNCT
easat-10606	138	1	source	source	NOUN
easat-10606	138	2	:	:	PUNCT
easat-10606	138	3	medhat	medhat	PROPN
easat-10606	138	4	,	,	PUNCT
easat-10606	138	5	et	et	PROPN
easat-10606	138	6	al	al	PROPN
easat-10606	138	7	.	.	PUNCT
easat-10606	139	1	[	[	X
easat-10606	139	2	33	33	NUM
easat-10606	139	3	]	]	PUNCT
easat-10606	139	4	and	and	CCONJ
easat-10606	139	5	bhavitha	bhavitha	NOUN
easat-10606	139	6	,	,	PUNCT
easat-10606	139	7	et	et	PROPN
easat-10606	139	8	al	al	PROPN
easat-10606	139	9	.	.	PUNCT
easat-10606	140	1	[	[	X
easat-10606	140	2	34	34	NUM
easat-10606	140	3	]	]	SYM
easat-10606	140	4	.	.	PUNCT
easat-10606	141	1	1.1.2	1.1.2	X
easat-10606	141	2	.	.	PUNCT
easat-10606	141	3	supervised	supervise	VERB
easat-10606	141	4	learning	learn	VERB
easat-10606	141	5	the	the	DET
easat-10606	141	6	supervised	supervised	ADJ
easat-10606	141	7	ml	ml	NOUN
easat-10606	141	8	method	method	NOUN
easat-10606	141	9	is	be	AUX
easat-10606	141	10	used	use	VERB
easat-10606	141	11	for	for	ADP
easat-10606	141	12	making	make	VERB
easat-10606	141	13	predictions	prediction	NOUN
easat-10606	141	14	of	of	ADP
easat-10606	141	15	labelled	label	VERB
easat-10606	141	16	data	datum	NOUN
easat-10606	141	17	,	,	PUNCT
easat-10606	141	18	according	accord	VERB
easat-10606	141	19	to	to	ADP
easat-10606	141	20	qureshi	qureshi	PROPN
easat-10606	141	21	et	et	PROPN
easat-10606	141	22	al	al	PROPN
easat-10606	141	23	.	.	PUNCT
easat-10606	142	1	[	[	X
easat-10606	142	2	35	35	NUM
easat-10606	142	3	]	]	SYM
easat-10606	142	4	,	,	PUNCT
easat-10606	142	5	where	where	SCONJ
easat-10606	142	6	the	the	DET
easat-10606	142	7	model	model	NOUN
easat-10606	142	8	is	be	AUX
easat-10606	142	9	examined	examine	VERB
easat-10606	142	10	and	and	CCONJ
easat-10606	142	11	trained	train	VERB
easat-10606	142	12	depending	depend	VERB
easat-10606	142	13	on	on	ADP
easat-10606	142	14	the	the	DET
easat-10606	142	15	necessary	necessary	ADJ
easat-10606	142	16	attributes	attribute	NOUN
easat-10606	142	17	or	or	CCONJ
easat-10606	142	18	properties	property	NOUN
easat-10606	142	19	,	,	PUNCT
easat-10606	142	20	and	and	CCONJ
easat-10606	142	21	then	then	ADV
easat-10606	142	22	tested	test	VERB
easat-10606	142	23	using	use	VERB
easat-10606	142	24	unlabeled	unlabeled	ADJ
easat-10606	142	25	data	datum	NOUN
easat-10606	142	26	.	.	PUNCT
easat-10606	143	1	as	as	ADP
easat-10606	143	2	a	a	DET
easat-10606	143	3	result	result	NOUN
easat-10606	143	4	,	,	PUNCT
easat-10606	143	5	the	the	DET
easat-10606	143	6	model	model	NOUN
easat-10606	143	7	learns	learn	VERB
easat-10606	143	8	during	during	ADP
easat-10606	143	9	training	training	NOUN
easat-10606	143	10	and	and	CCONJ
easat-10606	143	11	uses	use	VERB
easat-10606	143	12	that	that	DET
easat-10606	143	13	information	information	NOUN
easat-10606	143	14	during	during	ADP
easat-10606	143	15	the	the	DET
easat-10606	143	16	test	test	NOUN
easat-10606	143	17	stage	stage	NOUN
easat-10606	143	18	with	with	ADP
easat-10606	143	19	actual	actual	ADJ
easat-10606	143	20	data	datum	NOUN
easat-10606	143	21	[	[	X
easat-10606	143	22	36	36	NUM
easat-10606	143	23	]	]	PUNCT
easat-10606	143	24	.	.	PUNCT
easat-10606	144	1	the	the	DET
easat-10606	144	2	two	two	NUM
easat-10606	144	3	methods	method	NOUN
easat-10606	144	4	of	of	ADP
easat-10606	144	5	supervised	supervised	ADJ
easat-10606	144	6	learning	learning	NOUN
easat-10606	144	7	that	that	PRON
easat-10606	144	8	can	can	AUX
easat-10606	144	9	be	be	AUX
easat-10606	144	10	applied	apply	VERB
easat-10606	144	11	,	,	PUNCT
easat-10606	144	12	depending	depend	VERB
easat-10606	144	13	on	on	ADP
easat-10606	144	14	the	the	DET
easat-10606	144	15	available	available	ADJ
easat-10606	144	16	data	datum	NOUN
easat-10606	144	17	,	,	PUNCT
easat-10606	144	18	are	be	AUX
easat-10606	144	19	classification	classification	NOUN
easat-10606	144	20	(	(	PUNCT
easat-10606	144	21	intended	intend	VERB
easat-10606	144	22	for	for	ADP
easat-10606	144	23	discrete	discrete	ADJ
easat-10606	144	24	binary	binary	ADJ
easat-10606	144	25	data	datum	NOUN
easat-10606	144	26	)	)	PUNCT
easat-10606	144	27	and	and	CCONJ
easat-10606	144	28	regression	regression	NOUN
easat-10606	144	29	(	(	PUNCT
easat-10606	144	30	for	for	ADP
easat-10606	144	31	continuous	continuous	ADJ
easat-10606	144	32	data	datum	NOUN
easat-10606	144	33	)	)	PUNCT
easat-10606	144	34	.	.	PUNCT
easat-10606	145	1	in	in	ADP
easat-10606	145	2	addition	addition	NOUN
easat-10606	145	3	,	,	PUNCT
easat-10606	145	4	the	the	DET
easat-10606	145	5	classification	classification	NOUN
easat-10606	145	6	approach	approach	NOUN
easat-10606	145	7	uses	use	VERB
easat-10606	145	8	the	the	DET
easat-10606	145	9	category	category	NOUN
easat-10606	145	10	or	or	CCONJ
easat-10606	145	11	class	class	NOUN
easat-10606	145	12	objective	objective	ADJ
easat-10606	145	13	value	value	NOUN
easat-10606	145	14	to	to	PART
easat-10606	145	15	predict	predict	VERB
easat-10606	145	16	similar	similar	ADJ
easat-10606	145	17	data	datum	NOUN
easat-10606	145	18	.	.	PUNCT
easat-10606	146	1	hence	hence	ADV
easat-10606	146	2	,	,	PUNCT
easat-10606	146	3	a	a	DET
easat-10606	146	4	classification	classification	NOUN
easat-10606	146	5	algorithm	algorithm	NOUN
easat-10606	146	6	balances	balance	NOUN
easat-10606	146	7	input	input	NOUN
easat-10606	146	8	data	datum	NOUN
easat-10606	146	9	so	so	SCONJ
easat-10606	146	10	that	that	SCONJ
easat-10606	146	11	the	the	DET
easat-10606	146	12	output	output	NOUN
easat-10606	146	13	is	be	AUX
easat-10606	146	14	accurate	accurate	ADJ
easat-10606	146	15	,	,	PUNCT
easat-10606	146	16	making	make	VERB
easat-10606	146	17	it	it	PRON
easat-10606	146	18	a	a	DET
easat-10606	146	19	necessary	necessary	ADJ
easat-10606	146	20	method	method	NOUN
easat-10606	146	21	for	for	ADP
easat-10606	146	22	all	all	DET
easat-10606	146	23	types	type	NOUN
easat-10606	146	24	of	of	ADP
easat-10606	146	25	data	datum	NOUN
easat-10606	146	26	classification	classification	NOUN
easat-10606	146	27	,	,	PUNCT
easat-10606	146	28	including	include	VERB
easat-10606	146	29	images	image	NOUN
easat-10606	146	30	and	and	CCONJ
easat-10606	146	31	data	datum	NOUN
easat-10606	146	32	mining	mining	NOUN
easat-10606	147	1	[	[	X
easat-10606	147	2	37	37	NUM
easat-10606	147	3	]	]	PUNCT
easat-10606	147	4	.	.	PUNCT
easat-10606	148	1	there	there	PRON
easat-10606	148	2	are	be	VERB
easat-10606	148	3	numerous	numerous	ADJ
easat-10606	148	4	methods	method	NOUN
easat-10606	148	5	for	for	ADP
easat-10606	148	6	classifying	classify	VERB
easat-10606	148	7	data	datum	NOUN
easat-10606	148	8	in	in	ADP
easat-10606	148	9	ml	ml	ADP
easat-10606	148	10	,	,	PUNCT
easat-10606	148	11	such	such	ADJ
easat-10606	148	12	as	as	ADP
easat-10606	148	13	knn	knn	PROPN
easat-10606	148	14	,	,	PUNCT
easat-10606	148	15	bayesian	bayesian	NOUN
easat-10606	148	16	networks	network	NOUN
easat-10606	148	17	,	,	PUNCT
easat-10606	148	18	decision	decision	NOUN
easat-10606	148	19	trees	tree	NOUN
easat-10606	148	20	,	,	PUNCT
easat-10606	148	21	gradient	gradient	NOUN
easat-10606	148	22	boosting	boosting	NOUN
easat-10606	148	23	,	,	PUNCT
easat-10606	148	24	neural	neural	ADJ
easat-10606	148	25	networks	network	NOUN
easat-10606	148	26	,	,	PUNCT
easat-10606	148	27	logistic	logistic	ADJ
easat-10606	148	28	regression	regression	NOUN
easat-10606	148	29	,	,	PUNCT
easat-10606	148	30	random	random	ADJ
easat-10606	148	31	forests	forest	NOUN
easat-10606	148	32	,	,	PUNCT
easat-10606	148	33	and	and	CCONJ
easat-10606	148	34	many	many	ADJ
easat-10606	148	35	more	more	ADJ
easat-10606	148	36	for	for	ADP
easat-10606	148	37	student	student	NOUN
easat-10606	148	38	performance	performance	NOUN
easat-10606	148	39	and	and	CCONJ
easat-10606	148	40	feedback	feedback	NOUN
easat-10606	148	41	predictions	prediction	NOUN
easat-10606	148	42	[	[	X
easat-10606	148	43	38	38	NUM
easat-10606	148	44	]	]	PUNCT
easat-10606	148	45	.	.	PUNCT
easat-10606	149	1	in	in	ADP
easat-10606	149	2	this	this	DET
easat-10606	149	3	work	work	NOUN
easat-10606	149	4	,	,	PUNCT
easat-10606	149	5	a	a	DET
easat-10606	149	6	decision	decision	NOUN
easat-10606	149	7	-	-	PUNCT
easat-10606	149	8	making	make	VERB
easat-10606	149	9	process	process	NOUN
easat-10606	149	10	is	be	AUX
easat-10606	149	11	presented	present	VERB
easat-10606	149	12	where	where	SCONJ
easat-10606	149	13	multiple	multiple	ADJ
easat-10606	149	14	opinions	opinion	NOUN
easat-10606	149	15	are	be	AUX
easat-10606	149	16	weighed	weigh	VERB
easat-10606	149	17	before	before	ADP
easat-10606	149	18	making	make	VERB
easat-10606	149	19	a	a	DET
easat-10606	149	20	final	final	ADJ
easat-10606	149	21	choice	choice	NOUN
easat-10606	149	22	.	.	PUNCT
easat-10606	150	1	here	here	ADV
easat-10606	150	2	,	,	PUNCT
easat-10606	150	3	the	the	DET
easat-10606	150	4	results	result	NOUN
easat-10606	150	5	from	from	ADP
easat-10606	150	6	various	various	ADJ
easat-10606	150	7	trained	train	VERB
easat-10606	150	8	classifiers	classifier	NOUN
easat-10606	150	9	are	be	AUX
easat-10606	150	10	integrated	integrate	VERB
easat-10606	150	11	or	or	CCONJ
easat-10606	150	12	combined	combine	VERB
easat-10606	150	13	to	to	PART
easat-10606	150	14	reach	reach	VERB
easat-10606	150	15	the	the	DET
easat-10606	150	16	ultimate	ultimate	ADJ
easat-10606	150	17	conclusion	conclusion	NOUN
easat-10606	150	18	.	.	PUNCT
easat-10606	151	1	these	these	DET
easat-10606	151	2	approaches	approach	NOUN
easat-10606	151	3	include	include	VERB
easat-10606	151	4	creating	create	VERB
easat-10606	151	5	several	several	ADJ
easat-10606	151	6	classifiers	classifier	NOUN
easat-10606	151	7	and	and	CCONJ
easat-10606	151	8	then	then	ADV
easat-10606	151	9	combining	combine	VERB
easat-10606	151	10	their	their	PRON
easat-10606	151	11	outputs	output	NOUN
easat-10606	151	12	using	use	VERB
easat-10606	151	13	joining	join	VERB
easat-10606	151	14	criteria	criterion	NOUN
easat-10606	151	15	.	.	PUNCT
easat-10606	152	1	this	this	DET
easat-10606	152	2	combination	combination	NOUN
easat-10606	152	3	of	of	ADP
easat-10606	152	4	classifiers	classifier	NOUN
easat-10606	152	5	'	'	PART
easat-10606	152	6	outputs	output	NOUN
easat-10606	152	7	greatly	greatly	ADV
easat-10606	152	8	enhances	enhance	VERB
easat-10606	152	9	the	the	DET
easat-10606	152	10	model	model	NOUN
easat-10606	152	11	's	's	PART
easat-10606	152	12	performance	performance	NOUN
easat-10606	152	13	.	.	PUNCT
easat-10606	153	1	in	in	ADP
easat-10606	153	2	the	the	DET
easat-10606	153	3	experiment	experiment	NOUN
easat-10606	153	4	,	,	PUNCT
easat-10606	153	5	four	four	NUM
easat-10606	153	6	algorithms	algorithm	NOUN
easat-10606	153	7	,	,	PUNCT
easat-10606	153	8	namely	namely	ADV
easat-10606	153	9	artificial	artificial	ADJ
easat-10606	153	10	neural	neural	ADJ
easat-10606	153	11	network	network	NOUN
easat-10606	153	12	(	(	PUNCT
easat-10606	153	13	ann	ann	PROPN
easat-10606	153	14	)	)	PUNCT
easat-10606	153	15	,	,	PUNCT
easat-10606	153	16	logistic	logistic	ADJ
easat-10606	153	17	regression	regression	NOUN
easat-10606	153	18	(	(	PUNCT
easat-10606	153	19	lr	lr	NOUN
easat-10606	153	20	)	)	PUNCT
easat-10606	153	21	,	,	PUNCT
easat-10606	153	22	support	support	NOUN
easat-10606	153	23	vector	vector	NOUN
easat-10606	153	24	machine	machine	NOUN
easat-10606	153	25	(	(	PUNCT
easat-10606	153	26	svm	svm	PROPN
easat-10606	153	27	)	)	PUNCT
easat-10606	153	28	,	,	PUNCT
easat-10606	153	29	and	and	CCONJ
easat-10606	153	30	naïve	naïve	ADJ
easat-10606	153	31	bayes	bayes	NOUN
easat-10606	153	32	(	(	PUNCT
easat-10606	153	33	nb	nb	PROPN
easat-10606	153	34	)	)	PUNCT
easat-10606	153	35	,	,	PUNCT
easat-10606	153	36	are	be	AUX
easat-10606	153	37	selected	select	VERB
easat-10606	153	38	as	as	ADP
easat-10606	153	39	base	base	NOUN
easat-10606	153	40	-	-	PUNCT
easat-10606	153	41	level	level	NOUN
easat-10606	153	42	classifiers	classifier	NOUN
easat-10606	153	43	.	.	PUNCT
easat-10606	154	1	1154	1154	NUM
easat-10606	154	2	edelweiss	edelweiss	PROPN
easat-10606	154	3	applied	apply	VERB
easat-10606	154	4	science	science	NOUN
easat-10606	154	5	and	and	CCONJ
easat-10606	154	6	technology	technology	NOUN
easat-10606	154	7	issn	issn	PROPN
easat-10606	154	8	:	:	PUNCT
easat-10606	154	9	2576	2576	NUM
easat-10606	154	10	-	-	SYM
easat-10606	154	11	8484	8484	NUM
easat-10606	154	12	vol	vol	NOUN
easat-10606	154	13	.	.	PROPN
easat-10606	155	1	9	9	NUM
easat-10606	155	2	,	,	PUNCT
easat-10606	155	3	no	no	INTJ
easat-10606	155	4	.	.	NOUN
easat-10606	155	5	10	10	NUM
easat-10606	155	6	:	:	SYM
easat-10606	155	7	1149	1149	NUM
easat-10606	155	8	-	-	SYM
easat-10606	155	9	1180	1180	NUM
easat-10606	155	10	,	,	PUNCT
easat-10606	155	11	2025	2025	NUM
easat-10606	155	12	doi	doi	NOUN
easat-10606	155	13	:	:	PUNCT
easat-10606	155	14	10.55214/2576	10.55214/2576	NUM
easat-10606	155	15	-	-	SYM
easat-10606	155	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	155	17	©	©	ADP
easat-10606	155	18	2025	2025	NUM
easat-10606	155	19	by	by	ADP
easat-10606	155	20	the	the	DET
easat-10606	155	21	authors	author	NOUN
easat-10606	155	22	;	;	PUNCT
easat-10606	155	23	licensee	licensee	PROPN
easat-10606	155	24	learning	learn	VERB
easat-10606	155	25	gate	gate	NOUN
easat-10606	155	26	1.1.3	1.1.3	NUM
easat-10606	155	27	.	.	PUNCT
easat-10606	156	1	artificial	artificial	ADJ
easat-10606	156	2	neural	neural	ADJ
easat-10606	156	3	network	network	NOUN
easat-10606	156	4	:	:	PUNCT
easat-10606	156	5	multi	multi	ADJ
easat-10606	156	6	-	-	ADJ
easat-10606	156	7	layer	layer	ADJ
easat-10606	156	8	perceptron	perceptron	NOUN
easat-10606	156	9	(	(	PUNCT
easat-10606	156	10	mlp	mlp	PROPN
easat-10606	156	11	)	)	PUNCT
easat-10606	156	12	ann	ann	PROPN
easat-10606	156	13	has	have	AUX
easat-10606	156	14	emerged	emerge	VERB
easat-10606	156	15	as	as	ADP
easat-10606	156	16	one	one	NUM
easat-10606	156	17	of	of	ADP
easat-10606	156	18	the	the	DET
easat-10606	156	19	most	most	ADV
easat-10606	156	20	popular	popular	ADJ
easat-10606	156	21	ml	ml	NOUN
easat-10606	156	22	techniques	technique	NOUN
easat-10606	156	23	as	as	ADP
easat-10606	156	24	a	a	DET
easat-10606	156	25	nonlinear	nonlinear	ADJ
easat-10606	156	26	fitting	fitting	ADJ
easat-10606	156	27	method	method	NOUN
easat-10606	156	28	[	[	X
easat-10606	156	29	39	39	NUM
easat-10606	156	30	]	]	PUNCT
easat-10606	156	31	because	because	SCONJ
easat-10606	156	32	of	of	ADP
easat-10606	156	33	its	its	PRON
easat-10606	156	34	benefits	benefit	NOUN
easat-10606	156	35	of	of	ADP
easat-10606	156	36	simple	simple	ADJ
easat-10606	156	37	training	training	NOUN
easat-10606	156	38	,	,	PUNCT
easat-10606	156	39	flexible	flexible	ADJ
easat-10606	156	40	structure	structure	NOUN
easat-10606	156	41	,	,	PUNCT
easat-10606	156	42	and	and	CCONJ
easat-10606	156	43	variable	variable	ADJ
easat-10606	156	44	training	training	NOUN
easat-10606	156	45	parameters	parameter	NOUN
easat-10606	156	46	,	,	PUNCT
easat-10606	156	47	extreme	extreme	ADJ
easat-10606	156	48	learning	learning	NOUN
easat-10606	156	49	machines	machine	NOUN
easat-10606	156	50	(	(	PUNCT
easat-10606	156	51	elm	elm	PROPN
easat-10606	156	52	)	)	PUNCT
easat-10606	156	53	,	,	PUNCT
easat-10606	156	54	backpropagation	backpropagation	NOUN
easat-10606	156	55	neural	neural	ADJ
easat-10606	156	56	networks	network	NOUN
easat-10606	156	57	(	(	PUNCT
easat-10606	156	58	bpnns	bpnn	NOUN
easat-10606	156	59	)	)	PUNCT
easat-10606	156	60	,	,	PUNCT
easat-10606	156	61	general	general	ADJ
easat-10606	156	62	regression	regression	NOUN
easat-10606	156	63	neural	neural	ADJ
easat-10606	156	64	networks	network	NOUN
easat-10606	156	65	(	(	PUNCT
easat-10606	156	66	grnns	grnns	NOUN
easat-10606	156	67	)	)	PUNCT
easat-10606	156	68	,	,	PUNCT
easat-10606	156	69	and	and	CCONJ
easat-10606	156	70	other	other	ADJ
easat-10606	156	71	ann	ann	PROPN
easat-10606	156	72	techniques	technique	NOUN
easat-10606	156	73	,	,	PUNCT
easat-10606	156	74	such	such	ADJ
easat-10606	156	75	as	as	ADP
easat-10606	156	76	mlp	mlp	PROPN
easat-10606	156	77	,	,	PUNCT
easat-10606	156	78	are	be	AUX
easat-10606	156	79	now	now	ADV
easat-10606	156	80	available	available	ADJ
easat-10606	156	81	due	due	ADP
easat-10606	156	82	to	to	ADP
easat-10606	156	83	algorithmic	algorithmic	ADJ
easat-10606	156	84	breakthroughs	breakthrough	NOUN
easat-10606	156	85	.	.	PUNCT
easat-10606	157	1	mlp	mlp	NOUN
easat-10606	157	2	,	,	PUNCT
easat-10606	157	3	being	be	AUX
easat-10606	157	4	a	a	DET
easat-10606	157	5	supervised	supervised	ADJ
easat-10606	157	6	machine	machine	NOUN
easat-10606	157	7	learning	learning	NOUN
easat-10606	157	8	technique	technique	NOUN
easat-10606	157	9	,	,	PUNCT
easat-10606	157	10	is	be	AUX
easat-10606	157	11	a	a	DET
easat-10606	157	12	typical	typical	ADJ
easat-10606	157	13	ann	ann	PROPN
easat-10606	157	14	design	design	NOUN
easat-10606	157	15	used	use	VERB
easat-10606	157	16	in	in	ADP
easat-10606	157	17	this	this	DET
easat-10606	157	18	study	study	NOUN
easat-10606	157	19	.	.	PUNCT
easat-10606	158	1	mlp	mlp	NOUN
easat-10606	158	2	is	be	AUX
easat-10606	158	3	a	a	DET
easat-10606	158	4	feedforward	feedforward	ADJ
easat-10606	158	5	network	network	NOUN
easat-10606	158	6	made	make	VERB
easat-10606	158	7	up	up	ADP
easat-10606	158	8	of	of	ADP
easat-10606	158	9	an	an	DET
easat-10606	158	10	input	input	NOUN
easat-10606	158	11	layer	layer	NOUN
easat-10606	158	12	,	,	PUNCT
easat-10606	158	13	one	one	NUM
easat-10606	158	14	or	or	CCONJ
easat-10606	158	15	more	more	ADV
easat-10606	158	16	hidden	hidden	ADJ
easat-10606	158	17	layers	layer	NOUN
easat-10606	158	18	,	,	PUNCT
easat-10606	158	19	and	and	CCONJ
easat-10606	158	20	an	an	DET
easat-10606	158	21	output	output	NOUN
easat-10606	158	22	layer	layer	NOUN
easat-10606	158	23	.	.	PUNCT
easat-10606	159	1	external	external	ADJ
easat-10606	159	2	data	datum	NOUN
easat-10606	159	3	is	be	AUX
easat-10606	159	4	received	receive	VERB
easat-10606	159	5	by	by	ADP
easat-10606	159	6	the	the	DET
easat-10606	159	7	input	input	NOUN
easat-10606	159	8	layer	layer	NOUN
easat-10606	159	9	,	,	PUNCT
easat-10606	159	10	and	and	CCONJ
easat-10606	159	11	the	the	DET
easat-10606	159	12	output	output	NOUN
easat-10606	159	13	layer	layer	NOUN
easat-10606	159	14	generates	generate	VERB
easat-10606	159	15	or	or	CCONJ
easat-10606	159	16	produces	produce	VERB
easat-10606	159	17	the	the	DET
easat-10606	159	18	finished	finished	ADJ
easat-10606	159	19	product	product	NOUN
easat-10606	159	20	.	.	PUNCT
easat-10606	160	1	between	between	ADP
easat-10606	160	2	the	the	DET
easat-10606	160	3	input	input	NOUN
easat-10606	160	4	and	and	CCONJ
easat-10606	160	5	output	output	NOUN
easat-10606	160	6	layers	layer	NOUN
easat-10606	160	7	are	be	AUX
easat-10606	160	8	neurons	neuron	NOUN
easat-10606	160	9	in	in	ADP
easat-10606	160	10	the	the	DET
easat-10606	160	11	hidden	hidden	ADJ
easat-10606	160	12	layers	layer	NOUN
easat-10606	160	13	,	,	PUNCT
easat-10606	160	14	which	which	PRON
easat-10606	160	15	offer	offer	VERB
easat-10606	160	16	nonlinearity	nonlinearity	NOUN
easat-10606	160	17	functions	function	NOUN
easat-10606	160	18	.	.	PUNCT
easat-10606	161	1	by	by	ADP
easat-10606	161	2	using	use	VERB
easat-10606	161	3	more	more	ADJ
easat-10606	161	4	hidden	hidden	ADJ
easat-10606	161	5	neurons	neuron	NOUN
easat-10606	161	6	or	or	CCONJ
easat-10606	161	7	layers	layer	NOUN
easat-10606	161	8	,	,	PUNCT
easat-10606	161	9	more	more	ADV
easat-10606	161	10	complicated	complicated	ADJ
easat-10606	161	11	or	or	CCONJ
easat-10606	161	12	complex	complex	ADJ
easat-10606	161	13	issues	issue	NOUN
easat-10606	161	14	or	or	CCONJ
easat-10606	161	15	problems	problem	NOUN
easat-10606	161	16	can	can	AUX
easat-10606	161	17	be	be	AUX
easat-10606	161	18	solved	solve	VERB
easat-10606	161	19	as	as	ADV
easat-10606	161	20	well	well	ADV
easat-10606	161	21	,	,	PUNCT
easat-10606	161	22	and	and	CCONJ
easat-10606	161	23	adequate	adequate	ADJ
easat-10606	161	24	predictions	prediction	NOUN
easat-10606	161	25	can	can	AUX
easat-10606	161	26	be	be	AUX
easat-10606	161	27	achieved	achieve	VERB
easat-10606	161	28	.	.	PUNCT
easat-10606	162	1	this	this	PRON
easat-10606	162	2	is	be	AUX
easat-10606	162	3	because	because	SCONJ
easat-10606	162	4	the	the	DET
easat-10606	162	5	hidden	hidden	ADJ
easat-10606	162	6	layer	layer	NOUN
easat-10606	162	7	or	or	CCONJ
easat-10606	162	8	layers	layer	NOUN
easat-10606	162	9	in	in	ADP
easat-10606	162	10	between	between	ADP
easat-10606	162	11	are	be	AUX
easat-10606	162	12	highly	highly	ADV
easat-10606	162	13	networked	networked	ADJ
easat-10606	162	14	with	with	ADP
easat-10606	162	15	neurons	neuron	NOUN
easat-10606	162	16	,	,	PUNCT
easat-10606	162	17	which	which	PRON
easat-10606	162	18	are	be	AUX
easat-10606	162	19	computing	compute	VERB
easat-10606	162	20	units	unit	NOUN
easat-10606	162	21	that	that	PRON
easat-10606	162	22	process	process	VERB
easat-10606	162	23	information	information	NOUN
easat-10606	162	24	linked	link	VERB
easat-10606	162	25	together	together	ADV
easat-10606	162	26	by	by	ADP
easat-10606	162	27	weights	weight	NOUN
easat-10606	162	28	.	.	PUNCT
easat-10606	163	1	moreover	moreover	ADV
easat-10606	163	2	,	,	PUNCT
easat-10606	163	3	the	the	DET
easat-10606	163	4	neural	neural	ADJ
easat-10606	163	5	network	network	NOUN
easat-10606	163	6	,	,	PUNCT
easat-10606	163	7	in	in	ADP
easat-10606	163	8	terms	term	NOUN
easat-10606	163	9	of	of	ADP
easat-10606	163	10	mlp	mlp	PROPN
easat-10606	163	11	,	,	PUNCT
easat-10606	163	12	has	have	AUX
easat-10606	163	13	been	be	AUX
easat-10606	163	14	developed	develop	VERB
easat-10606	163	15	for	for	ADP
easat-10606	163	16	the	the	DET
easat-10606	163	17	current	current	ADJ
easat-10606	163	18	issue	issue	NOUN
easat-10606	163	19	because	because	SCONJ
easat-10606	163	20	the	the	DET
easat-10606	163	21	target	target	NOUN
easat-10606	163	22	variable	variable	NOUN
easat-10606	163	23	contains	contain	VERB
easat-10606	163	24	more	more	ADJ
easat-10606	163	25	than	than	ADP
easat-10606	163	26	two	two	NUM
easat-10606	163	27	classes	class	NOUN
easat-10606	163	28	and	and	CCONJ
easat-10606	163	29	is	be	AUX
easat-10606	163	30	a	a	DET
easat-10606	163	31	classification	classification	NOUN
easat-10606	163	32	problem	problem	NOUN
easat-10606	163	33	.	.	PUNCT
easat-10606	164	1	each	each	DET
easat-10606	164	2	neuron	neuron	NOUN
easat-10606	164	3	uses	use	VERB
easat-10606	164	4	an	an	DET
easat-10606	164	5	activation	activation	NOUN
easat-10606	164	6	function	function	NOUN
easat-10606	164	7	(	(	PUNCT
easat-10606	164	8	the	the	DET
easat-10606	164	9	activation	activation	NOUN
easat-10606	164	10	function	function	VERB
easat-10606	164	11	for	for	ADP
easat-10606	164	12	the	the	DET
easat-10606	164	13	hidden	hide	VERB
easat-10606	164	14	layer	layer	NOUN
easat-10606	164	15	is	be	AUX
easat-10606	164	16	hyperbolic	hyperbolic	ADJ
easat-10606	164	17	tangent	tangent	NOUN
easat-10606	164	18	,	,	PUNCT
easat-10606	164	19	and	and	CCONJ
easat-10606	164	20	for	for	ADP
easat-10606	164	21	the	the	DET
easat-10606	164	22	output	output	NOUN
easat-10606	164	23	layer	layer	NOUN
easat-10606	164	24	,	,	PUNCT
easat-10606	164	25	it	it	PRON
easat-10606	164	26	is	be	AUX
easat-10606	164	27	softmax	softmax	NOUN
easat-10606	164	28	)	)	PUNCT
easat-10606	164	29	that	that	PRON
easat-10606	164	30	processes	process	VERB
easat-10606	164	31	a	a	DET
easat-10606	164	32	linear	linear	ADJ
easat-10606	164	33	combination	combination	NOUN
easat-10606	164	34	of	of	ADP
easat-10606	164	35	inputs	input	NOUN
easat-10606	164	36	to	to	PART
easat-10606	164	37	yield	yield	VERB
easat-10606	164	38	outcomes	outcome	NOUN
easat-10606	164	39	in	in	ADP
easat-10606	164	40	a	a	DET
easat-10606	164	41	non	non	ADJ
easat-10606	164	42	-	-	ADJ
easat-10606	164	43	linear	linear	ADJ
easat-10606	164	44	transformation	transformation	NOUN
easat-10606	164	45	,	,	PUNCT
easat-10606	164	46	with	with	ADP
easat-10606	164	47	a	a	DET
easat-10606	164	48	displayed	display	VERB
easat-10606	164	49	accuracy	accuracy	NOUN
easat-10606	164	50	of	of	ADP
easat-10606	164	51	about	about	ADV
easat-10606	164	52	81	81	NUM
easat-10606	164	53	%	%	NOUN
easat-10606	164	54	.	.	PUNCT
easat-10606	165	1	the	the	DET
easat-10606	165	2	mathematical	mathematical	ADJ
easat-10606	165	3	description	description	NOUN
easat-10606	165	4	of	of	ADP
easat-10606	165	5	this	this	DET
easat-10606	165	6	procedure	procedure	NOUN
easat-10606	165	7	is	be	AUX
easat-10606	165	8	given	give	VERB
easat-10606	165	9	in	in	ADP
easat-10606	165	10	(	(	PUNCT
easat-10606	165	11	1	1	NUM
easat-10606	165	12	)	)	PUNCT
easat-10606	165	13	.	.	PUNCT
easat-10606	166	1	mlp	mlp	PROPN
easat-10606	166	2	uses	use	VERB
easat-10606	166	3	a	a	DET
easat-10606	166	4	set	set	NOUN
easat-10606	166	5	of	of	ADP
easat-10606	166	6	attributes	attribute	NOUN
easat-10606	166	7	like	like	ADP
easat-10606	166	8	x	x	X
easat-10606	166	9	and	and	CCONJ
easat-10606	166	10	a	a	DET
easat-10606	166	11	target	target	NOUN
easat-10606	166	12	y	y	NOUN
easat-10606	166	13	,	,	PUNCT
easat-10606	166	14	which	which	PRON
easat-10606	166	15	can	can	AUX
easat-10606	166	16	learn	learn	VERB
easat-10606	166	17	a	a	DET
easat-10606	166	18	non	non	ADJ
easat-10606	166	19	-	-	ADJ
easat-10606	166	20	linear	linear	ADJ
easat-10606	166	21	function	function	NOUN
easat-10606	166	22	estimator	estimator	NOUN
easat-10606	166	23	for	for	ADP
easat-10606	166	24	classification	classification	NOUN
easat-10606	166	25	.	.	PUNCT
easat-10606	167	1	(	(	PUNCT
easat-10606	167	2	1	1	X
easat-10606	167	3	)	)	PUNCT
easat-10606	167	4	1.1.4	1.1.4	NUM
easat-10606	167	5	.	.	PUNCT
easat-10606	168	1	support	support	NOUN
easat-10606	168	2	vector	vector	NOUN
easat-10606	168	3	machine	machine	NOUN
easat-10606	168	4	svm	svm	NOUN
easat-10606	168	5	is	be	AUX
easat-10606	168	6	a	a	DET
easat-10606	168	7	type	type	NOUN
easat-10606	168	8	of	of	ADP
easat-10606	168	9	machine	machine	NOUN
easat-10606	168	10	learning	learn	VERB
easat-10606	168	11	algorithm	algorithm	NOUN
easat-10606	168	12	that	that	PRON
easat-10606	168	13	is	be	AUX
easat-10606	168	14	widely	widely	ADV
easat-10606	168	15	used	use	VERB
easat-10606	168	16	for	for	ADP
easat-10606	168	17	the	the	DET
easat-10606	168	18	collection	collection	NOUN
easat-10606	168	19	of	of	ADP
easat-10606	168	20	linear	linear	PROPN
easat-10606	168	21	predictor	predictor	NOUN
easat-10606	168	22	functions	function	NOUN
easat-10606	168	23	that	that	PRON
easat-10606	168	24	have	have	AUX
easat-10606	168	25	been	be	AUX
easat-10606	168	26	used	use	VERB
easat-10606	168	27	to	to	PART
easat-10606	168	28	solve	solve	VERB
easat-10606	168	29	problems	problem	NOUN
easat-10606	168	30	of	of	ADP
easat-10606	168	31	function	function	NOUN
easat-10606	168	32	determination	determination	NOUN
easat-10606	168	33	.	.	PUNCT
easat-10606	169	1	it	it	PRON
easat-10606	169	2	is	be	AUX
easat-10606	169	3	a	a	DET
easat-10606	169	4	supervised	supervised	ADJ
easat-10606	169	5	machinelearning	machinelearning	NOUN
easat-10606	169	6	technique	technique	NOUN
easat-10606	169	7	that	that	PRON
easat-10606	169	8	can	can	AUX
easat-10606	169	9	be	be	AUX
easat-10606	169	10	used	use	VERB
easat-10606	169	11	for	for	ADP
easat-10606	169	12	both	both	CCONJ
easat-10606	169	13	regression	regression	NOUN
easat-10606	169	14	and	and	CCONJ
easat-10606	169	15	classification	classification	NOUN
easat-10606	169	16	applications	application	NOUN
easat-10606	169	17	,	,	PUNCT
easat-10606	169	18	including	include	VERB
easat-10606	169	19	multiclass	multiclass	ADJ
easat-10606	169	20	classification	classification	NOUN
easat-10606	169	21	.	.	PUNCT
easat-10606	170	1	the	the	DET
easat-10606	170	2	key	key	ADJ
easat-10606	170	3	aspect	aspect	NOUN
easat-10606	170	4	of	of	ADP
easat-10606	170	5	this	this	DET
easat-10606	170	6	method	method	NOUN
easat-10606	170	7	is	be	AUX
easat-10606	170	8	explaining	explain	VERB
easat-10606	170	9	how	how	SCONJ
easat-10606	170	10	independent	independent	ADJ
easat-10606	170	11	and	and	CCONJ
easat-10606	170	12	dependent	dependent	ADJ
easat-10606	170	13	variables	variable	NOUN
easat-10606	170	14	relate	relate	VERB
easat-10606	170	15	to	to	ADP
easat-10606	170	16	one	one	NUM
easat-10606	170	17	another	another	DET
easat-10606	170	18	[	[	X
easat-10606	170	19	40	40	NUM
easat-10606	170	20	]	]	PUNCT
easat-10606	170	21	.	.	PUNCT
easat-10606	171	1	in	in	ADP
easat-10606	171	2	this	this	DET
easat-10606	171	3	study	study	NOUN
easat-10606	171	4	,	,	PUNCT
easat-10606	171	5	the	the	DET
easat-10606	171	6	classifier	classifier	NOUN
easat-10606	171	7	uses	use	VERB
easat-10606	171	8	a	a	DET
easat-10606	171	9	different	different	ADJ
easat-10606	171	10	loss	loss	NOUN
easat-10606	171	11	function	function	NOUN
easat-10606	171	12	from	from	ADP
easat-10606	171	13	logistic	logistic	ADJ
easat-10606	171	14	regression	regression	NOUN
easat-10606	171	15	,	,	PUNCT
easat-10606	171	16	with	with	ADP
easat-10606	171	17	the	the	DET
easat-10606	171	18	kernel	kernel	PROPN
easat-10606	171	19	mathematical	mathematical	PROPN
easat-10606	171	20	machine	machine	NOUN
easat-10606	171	21	function	function	NOUN
easat-10606	171	22	being	be	AUX
easat-10606	171	23	utilized	utilize	VERB
easat-10606	171	24	for	for	ADP
easat-10606	171	25	data	datum	NOUN
easat-10606	171	26	transformation	transformation	NOUN
easat-10606	171	27	in	in	ADP
easat-10606	171	28	the	the	DET
easat-10606	171	29	svm	svm	ADJ
easat-10606	171	30	model	model	NOUN
easat-10606	171	31	.	.	PUNCT
easat-10606	172	1	however	however	ADV
easat-10606	172	2	,	,	PUNCT
easat-10606	172	3	the	the	DET
easat-10606	172	4	optimal	optimal	ADJ
easat-10606	172	5	separating	separate	VERB
easat-10606	172	6	hyperplane	hyperplane	NOUN
easat-10606	172	7	is	be	AUX
easat-10606	172	8	that	that	PRON
easat-10606	172	9	which	which	PRON
easat-10606	172	10	the	the	DET
easat-10606	172	11	svm	svm	ADJ
easat-10606	172	12	model	model	NOUN
easat-10606	172	13	seeks	seek	VERB
easat-10606	172	14	to	to	PART
easat-10606	172	15	identify	identify	VERB
easat-10606	172	16	.	.	PUNCT
easat-10606	173	1	after	after	SCONJ
easat-10606	173	2	the	the	DET
easat-10606	173	3	individual	individual	ADJ
easat-10606	173	4	svm	svm	ADJ
easat-10606	173	5	datasets	dataset	NOUN
easat-10606	173	6	were	be	AUX
easat-10606	173	7	converted	convert	VERB
easat-10606	173	8	to	to	ADP
easat-10606	173	9	a	a	DET
easat-10606	173	10	high	high	ADJ
easat-10606	173	11	-	-	PUNCT
easat-10606	173	12	dimensional	dimensional	ADJ
easat-10606	173	13	feature	feature	NOUN
easat-10606	173	14	space	space	NOUN
easat-10606	173	15	,	,	PUNCT
easat-10606	173	16	a	a	DET
easat-10606	173	17	hyperplane	hyperplane	NOUN
easat-10606	173	18	was	be	AUX
easat-10606	173	19	produced	produce	VERB
easat-10606	173	20	using	use	VERB
easat-10606	173	21	the	the	DET
easat-10606	173	22	training	training	NOUN
easat-10606	173	23	datasets	dataset	NOUN
easat-10606	173	24	.	.	PUNCT
easat-10606	174	1	the	the	DET
easat-10606	174	2	mathematical	mathematical	ADJ
easat-10606	174	3	description	description	NOUN
easat-10606	174	4	is	be	AUX
easat-10606	174	5	given	give	VERB
easat-10606	174	6	in	in	ADP
easat-10606	174	7	equation	equation	NOUN
easat-10606	174	8	2	2	NUM
easat-10606	174	9	.	.	PUNCT
easat-10606	175	1	(	(	PUNCT
easat-10606	175	2	2	2	X
easat-10606	175	3	)	)	PUNCT
easat-10606	175	4	while	while	SCONJ
easat-10606	175	5	the	the	DET
easat-10606	175	6	functional	functional	ADJ
easat-10606	175	7	margin	margin	NOUN
easat-10606	175	8	is	be	AUX
easat-10606	175	9	:	:	PUNCT
easat-10606	175	10	(	(	PUNCT
easat-10606	175	11	3	3	X
easat-10606	175	12	)	)	PUNCT
easat-10606	175	13	where	where	SCONJ
easat-10606	175	14	w	w	NOUN
easat-10606	175	15	is	be	AUX
easat-10606	175	16	the	the	DET
easat-10606	175	17	decision	decision	NOUN
easat-10606	175	18	hyperplane	hyperplane	NOUN
easat-10606	175	19	normal	normal	ADJ
easat-10606	175	20	vector	vector	NOUN
easat-10606	175	21	,	,	PUNCT
easat-10606	175	22	t	t	PROPN
easat-10606	175	23	is	be	AUX
easat-10606	175	24	the	the	DET
easat-10606	175	25	data	data	NOUN
easat-10606	175	26	point	point	NOUN
easat-10606	175	27	,	,	PUNCT
easat-10606	175	28	and	and	CCONJ
easat-10606	175	29	i	i	PRON
easat-10606	175	30	is	be	AUX
easat-10606	175	31	the	the	DET
easat-10606	175	32	class	class	NOUN
easat-10606	175	33	of	of	ADP
easat-10606	175	34	data	datum	NOUN
easat-10606	175	35	(	(	PUNCT
easat-10606	175	36	which	which	PRON
easat-10606	175	37	is	be	AUX
easat-10606	175	38	+1	+1	ADJ
easat-10606	175	39	or	or	CCONJ
easat-10606	175	40	-1	-1	PUNCT
easat-10606	175	41	)	)	PUNCT
easat-10606	175	42	.	.	PUNCT
easat-10606	176	1	since	since	SCONJ
easat-10606	176	2	the	the	DET
easat-10606	176	3	study	study	NOUN
easat-10606	176	4	deals	deal	VERB
easat-10606	176	5	with	with	ADP
easat-10606	176	6	linear	linear	PROPN
easat-10606	176	7	data	datum	NOUN
easat-10606	176	8	,	,	PUNCT
easat-10606	176	9	that	that	ADV
easat-10606	176	10	is	is	ADV
easat-10606	176	11	,	,	PUNCT
easat-10606	176	12	it	it	PRON
easat-10606	176	13	is	be	AUX
easat-10606	176	14	not	not	PART
easat-10606	176	15	data	datum	NOUN
easat-10606	176	16	that	that	PRON
easat-10606	176	17	can	can	AUX
easat-10606	176	18	be	be	AUX
easat-10606	176	19	clustered	cluster	VERB
easat-10606	176	20	into	into	ADP
easat-10606	176	21	different	different	ADJ
easat-10606	176	22	groups	group	NOUN
easat-10606	176	23	,	,	PUNCT
easat-10606	176	24	this	this	PRON
easat-10606	176	25	leads	lead	VERB
easat-10606	176	26	to	to	ADP
easat-10606	176	27	the	the	DET
easat-10606	176	28	use	use	NOUN
easat-10606	176	29	of	of	ADP
easat-10606	176	30	a	a	DET
easat-10606	176	31	linear	linear	ADJ
easat-10606	176	32	kernel	kernel	NOUN
easat-10606	176	33	in	in	ADP
easat-10606	176	34	such	such	DET
easat-10606	176	35	an	an	DET
easat-10606	176	36	svm	svm	ADJ
easat-10606	176	37	learning	learn	VERB
easat-10606	176	38	algorithm	algorithm	NOUN
easat-10606	176	39	.	.	PUNCT
easat-10606	177	1	hence	hence	ADV
easat-10606	177	2	,	,	PUNCT
easat-10606	177	3	it	it	PRON
easat-10606	177	4	provides	provide	VERB
easat-10606	177	5	high	high	ADJ
easat-10606	177	6	accuracy	accuracy	NOUN
easat-10606	177	7	and	and	CCONJ
easat-10606	177	8	good	good	ADJ
easat-10606	177	9	theoretical	theoretical	ADJ
easat-10606	177	10	overfitting	overfitting	NOUN
easat-10606	177	11	if	if	SCONJ
easat-10606	177	12	the	the	DET
easat-10606	177	13	appropriate	appropriate	ADJ
easat-10606	177	14	kernel	kernel	NOUN
easat-10606	177	15	is	be	AUX
easat-10606	177	16	applied	apply	VERB
easat-10606	177	17	.	.	PUNCT
easat-10606	178	1	however	however	ADV
easat-10606	178	2	,	,	PUNCT
easat-10606	178	3	the	the	DET
easat-10606	178	4	svm	svm	NOUN
easat-10606	178	5	is	be	AUX
easat-10606	178	6	not	not	PART
easat-10606	178	7	sensitive	sensitive	ADJ
easat-10606	178	8	to	to	ADP
easat-10606	178	9	noise	noise	NOUN
easat-10606	178	10	,	,	PUNCT
easat-10606	178	11	where	where	SCONJ
easat-10606	178	12	a	a	DET
easat-10606	178	13	small	small	ADJ
easat-10606	178	14	number	number	NOUN
easat-10606	178	15	of	of	ADP
easat-10606	178	16	mislabelled	mislabelle	VERB
easat-10606	178	17	examples	example	NOUN
easat-10606	178	18	can	can	AUX
easat-10606	178	19	reduce	reduce	VERB
easat-10606	178	20	the	the	DET
easat-10606	178	21	system	system	NOUN
easat-10606	178	22	's	's	PART
easat-10606	178	23	performance	performance	NOUN
easat-10606	178	24	.	.	PUNCT
easat-10606	179	1	1.1.5	1.1.5	X
easat-10606	179	2	.	.	X
easat-10606	179	3	logistic	logistic	ADJ
easat-10606	179	4	regression	regression	NOUN
easat-10606	179	5	(	(	PUNCT
easat-10606	179	6	lr	lr	NOUN
easat-10606	179	7	)	)	PUNCT
easat-10606	179	8	lr	lr	PROPN
easat-10606	179	9	is	be	AUX
easat-10606	179	10	one	one	NUM
easat-10606	179	11	of	of	ADP
easat-10606	179	12	the	the	DET
easat-10606	179	13	most	most	ADV
easat-10606	179	14	used	used	ADJ
easat-10606	179	15	machine	machine	NOUN
easat-10606	179	16	learning	learn	VERB
easat-10606	179	17	techniques	technique	NOUN
easat-10606	179	18	for	for	ADP
easat-10606	179	19	binary	binary	ADJ
easat-10606	179	20	classification	classification	NOUN
easat-10606	179	21	.	.	PUNCT
easat-10606	180	1	it	it	PRON
easat-10606	180	2	is	be	AUX
easat-10606	180	3	also	also	ADV
easat-10606	180	4	a	a	DET
easat-10606	180	5	multivariate	multivariate	NOUN
easat-10606	180	6	data	data	NOUN
easat-10606	180	7	analytic	analytic	ADJ
easat-10606	180	8	model	model	NOUN
easat-10606	180	9	(	(	PUNCT
easat-10606	180	10	linear	linear	ADJ
easat-10606	180	11	and	and	CCONJ
easat-10606	180	12	binary	binary	NOUN
easat-10606	180	13	)	)	PUNCT
easat-10606	180	14	that	that	PRON
easat-10606	180	15	predicts	predict	VERB
easat-10606	180	16	the	the	DET
easat-10606	180	17	presence	presence	NOUN
easat-10606	180	18	or	or	CCONJ
easat-10606	180	19	absence	absence	NOUN
easat-10606	180	20	of	of	ADP
easat-10606	180	21	an	an	DET
easat-10606	180	22	attribute	attribute	NOUN
easat-10606	180	23	1155	1155	NUM
easat-10606	180	24	edelweiss	edelweiss	PROPN
easat-10606	180	25	applied	apply	VERB
easat-10606	180	26	science	science	NOUN
easat-10606	180	27	and	and	CCONJ
easat-10606	180	28	technology	technology	NOUN
easat-10606	180	29	issn	issn	PROPN
easat-10606	180	30	:	:	PUNCT
easat-10606	180	31	2576	2576	NUM
easat-10606	180	32	-	-	SYM
easat-10606	180	33	8484	8484	NUM
easat-10606	180	34	vol	vol	NOUN
easat-10606	180	35	.	.	PROPN
easat-10606	181	1	9	9	NUM
easat-10606	181	2	,	,	PUNCT
easat-10606	181	3	no	no	INTJ
easat-10606	181	4	.	.	NOUN
easat-10606	181	5	10	10	NUM
easat-10606	181	6	:	:	SYM
easat-10606	181	7	1149	1149	NUM
easat-10606	181	8	-	-	SYM
easat-10606	181	9	1180	1180	NUM
easat-10606	181	10	,	,	PUNCT
easat-10606	181	11	2025	2025	NUM
easat-10606	181	12	doi	doi	NOUN
easat-10606	181	13	:	:	PUNCT
easat-10606	181	14	10.55214/2576	10.55214/2576	NUM
easat-10606	181	15	-	-	SYM
easat-10606	181	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	181	17	©	©	ADP
easat-10606	181	18	2025	2025	NUM
easat-10606	181	19	by	by	ADP
easat-10606	181	20	the	the	DET
easat-10606	181	21	authors	author	NOUN
easat-10606	181	22	;	;	PUNCT
easat-10606	181	23	licensee	licensee	PROPN
easat-10606	181	24	learning	learning	NOUN
easat-10606	181	25	gate	gate	NOUN
easat-10606	181	26	or	or	CCONJ
easat-10606	181	27	result	result	NOUN
easat-10606	181	28	based	base	VERB
easat-10606	181	29	on	on	ADP
easat-10606	181	30	the	the	DET
easat-10606	181	31	values	value	NOUN
easat-10606	181	32	of	of	ADP
easat-10606	181	33	a	a	DET
easat-10606	181	34	collection	collection	NOUN
easat-10606	181	35	of	of	ADP
easat-10606	181	36	predictor	predictor	NOUN
easat-10606	181	37	variables	variable	NOUN
easat-10606	181	38	.	.	PUNCT
easat-10606	182	1	however	however	ADV
easat-10606	182	2	,	,	PUNCT
easat-10606	182	3	the	the	DET
easat-10606	182	4	lr	lr	NOUN
easat-10606	182	5	model	model	NOUN
easat-10606	182	6	is	be	AUX
easat-10606	182	7	robust	robust	ADJ
easat-10606	182	8	to	to	PART
easat-10606	182	9	noise	noise	VERB
easat-10606	182	10	,	,	PUNCT
easat-10606	182	11	and	and	CCONJ
easat-10606	182	12	overfitting	overfitting	NOUN
easat-10606	182	13	can	can	AUX
easat-10606	182	14	be	be	AUX
easat-10606	182	15	avoided	avoid	VERB
easat-10606	182	16	in	in	ADP
easat-10606	182	17	the	the	DET
easat-10606	182	18	feature	feature	NOUN
easat-10606	182	19	selection	selection	NOUN
easat-10606	182	20	process	process	NOUN
easat-10606	182	21	.	.	PUNCT
easat-10606	183	1	therefore	therefore	ADV
easat-10606	183	2	,	,	PUNCT
easat-10606	183	3	in	in	ADP
easat-10606	183	4	this	this	DET
easat-10606	183	5	work	work	NOUN
easat-10606	183	6	,	,	PUNCT
easat-10606	183	7	lr	lr	X
easat-10606	183	8	is	be	AUX
easat-10606	183	9	regarded	regard	VERB
easat-10606	183	10	as	as	ADP
easat-10606	183	11	a	a	DET
easat-10606	183	12	likelihood	likelihood	NOUN
easat-10606	183	13	relevant	relevant	ADJ
easat-10606	183	14	to	to	ADP
easat-10606	183	15	this	this	DET
easat-10606	183	16	investigation	investigation	NOUN
easat-10606	183	17	,	,	PUNCT
easat-10606	183	18	as	as	SCONJ
easat-10606	183	19	the	the	DET
easat-10606	183	20	variables	variable	NOUN
easat-10606	183	21	do	do	AUX
easat-10606	183	22	not	not	PART
easat-10606	183	23	have	have	VERB
easat-10606	183	24	a	a	DET
easat-10606	183	25	normal	normal	ADJ
easat-10606	183	26	distribution	distribution	NOUN
easat-10606	183	27	.	.	PUNCT
easat-10606	184	1	in	in	ADP
easat-10606	184	2	addition	addition	NOUN
easat-10606	184	3	,	,	PUNCT
easat-10606	184	4	the	the	DET
easat-10606	184	5	logistic	logistic	ADJ
easat-10606	184	6	function	function	NOUN
easat-10606	184	7	is	be	AUX
easat-10606	184	8	given	give	VERB
easat-10606	184	9	by	by	ADP
easat-10606	184	10	the	the	DET
easat-10606	184	11	equation	equation	NOUN
easat-10606	184	12	.	.	PUNCT
easat-10606	185	1	1.1.6	1.1.6	X
easat-10606	185	2	.	.	PUNCT
easat-10606	185	3	naïve	naïve	ADJ
easat-10606	185	4	bayes	bayes	PROPN
easat-10606	185	5	(	(	PUNCT
easat-10606	185	6	nb	nb	INTJ
easat-10606	185	7	)	)	PUNCT
easat-10606	185	8	this	this	PRON
easat-10606	185	9	is	be	AUX
easat-10606	185	10	a	a	DET
easat-10606	185	11	probabilistic	probabilistic	ADJ
easat-10606	185	12	classifier	classifier	NOUN
easat-10606	185	13	that	that	PRON
easat-10606	185	14	works	work	VERB
easat-10606	185	15	on	on	ADP
easat-10606	185	16	bayes	baye	NOUN
easat-10606	185	17	'	'	PART
easat-10606	185	18	theorem	theorem	NOUN
easat-10606	185	19	of	of	ADP
easat-10606	185	20	probability	probability	NOUN
easat-10606	185	21	to	to	PART
easat-10606	185	22	predict	predict	VERB
easat-10606	185	23	the	the	DET
easat-10606	185	24	class	class	NOUN
easat-10606	185	25	of	of	ADP
easat-10606	185	26	unknown	unknown	ADJ
easat-10606	185	27	datasets	dataset	NOUN
easat-10606	185	28	.	.	PUNCT
easat-10606	186	1	in	in	ADP
easat-10606	186	2	the	the	DET
easat-10606	186	3	naive	naive	ADJ
easat-10606	186	4	bayes	bayes	NOUN
easat-10606	186	5	(	(	PUNCT
easat-10606	186	6	nb	nb	NOUN
easat-10606	186	7	)	)	PUNCT
easat-10606	186	8	classifier	classifier	NOUN
easat-10606	186	9	,	,	PUNCT
easat-10606	186	10	the	the	DET
easat-10606	186	11	presence	presence	NOUN
easat-10606	186	12	of	of	ADP
easat-10606	186	13	one	one	NUM
easat-10606	186	14	feature	feature	NOUN
easat-10606	186	15	in	in	ADP
easat-10606	186	16	a	a	DET
easat-10606	186	17	class	class	NOUN
easat-10606	186	18	is	be	AUX
easat-10606	186	19	unrelated	unrelated	ADJ
easat-10606	186	20	to	to	ADP
easat-10606	186	21	any	any	DET
easat-10606	186	22	other	other	ADJ
easat-10606	186	23	feature	feature	NOUN
easat-10606	186	24	in	in	ADP
easat-10606	186	25	the	the	DET
easat-10606	186	26	dataset	dataset	NOUN
easat-10606	186	27	.	.	PUNCT
easat-10606	187	1	as	as	ADP
easat-10606	187	2	a	a	DET
easat-10606	187	3	result	result	NOUN
easat-10606	187	4	,	,	PUNCT
easat-10606	187	5	it	it	PRON
easat-10606	187	6	is	be	AUX
easat-10606	187	7	simple	simple	ADJ
easat-10606	187	8	to	to	PART
easat-10606	187	9	implement	implement	VERB
easat-10606	187	10	with	with	ADP
easat-10606	187	11	many	many	ADJ
easat-10606	187	12	counts	count	NOUN
easat-10606	187	13	.	.	PUNCT
easat-10606	188	1	the	the	DET
easat-10606	188	2	nb	nb	PROPN
easat-10606	188	3	algorithm	algorithm	PROPN
easat-10606	188	4	has	have	VERB
easat-10606	188	5	three	three	NUM
easat-10606	188	6	different	different	ADJ
easat-10606	188	7	varieties	variety	NOUN
easat-10606	188	8	,	,	PUNCT
easat-10606	188	9	and	and	CCONJ
easat-10606	188	10	it	it	PRON
easat-10606	188	11	is	be	AUX
easat-10606	188	12	worth	worth	ADJ
easat-10606	188	13	noting	note	VERB
easat-10606	188	14	that	that	SCONJ
easat-10606	188	15	the	the	DET
easat-10606	188	16	variations	variation	NOUN
easat-10606	188	17	of	of	ADP
easat-10606	188	18	this	this	DET
easat-10606	188	19	algorithm	algorithm	NOUN
easat-10606	188	20	yield	yield	VERB
easat-10606	188	21	different	different	ADJ
easat-10606	188	22	results	result	NOUN
easat-10606	188	23	.	.	PUNCT
easat-10606	189	1	although	although	SCONJ
easat-10606	189	2	there	there	PRON
easat-10606	189	3	are	be	VERB
easat-10606	189	4	three	three	NUM
easat-10606	189	5	variations	variation	NOUN
easat-10606	189	6	of	of	ADP
easat-10606	189	7	nb	nb	NOUN
easat-10606	189	8	:	:	PUNCT
easat-10606	189	9	(	(	PUNCT
easat-10606	189	10	1	1	X
easat-10606	189	11	)	)	PUNCT
easat-10606	189	12	multinomial	multinomial	ADJ
easat-10606	189	13	naive	naive	ADJ
easat-10606	189	14	bayes	bayes	NOUN
easat-10606	189	15	(	(	PUNCT
easat-10606	189	16	mnb	mnb	PROPN
easat-10606	189	17	)	)	PUNCT
easat-10606	189	18	,	,	PUNCT
easat-10606	189	19	(	(	PUNCT
easat-10606	189	20	2	2	X
easat-10606	189	21	)	)	PUNCT
easat-10606	189	22	bernoulli	bernoulli	NOUN
easat-10606	189	23	naive	naive	ADJ
easat-10606	189	24	bayes	bayes	NOUN
easat-10606	189	25	(	(	PUNCT
easat-10606	189	26	bnb	bnb	NOUN
easat-10606	189	27	)	)	PUNCT
easat-10606	189	28	,	,	PUNCT
easat-10606	189	29	and	and	CCONJ
easat-10606	189	30	(	(	PUNCT
easat-10606	189	31	3	3	X
easat-10606	189	32	)	)	PUNCT
easat-10606	189	33	gaussian	gaussian	ADJ
easat-10606	189	34	naive	naive	ADJ
easat-10606	189	35	bayes	bayes	NOUN
easat-10606	189	36	,	,	PUNCT
easat-10606	189	37	the	the	DET
easat-10606	189	38	multinomial	multinomial	ADJ
easat-10606	189	39	mnb	mnb	NOUN
easat-10606	189	40	is	be	AUX
easat-10606	189	41	applied	apply	VERB
easat-10606	189	42	in	in	ADP
easat-10606	189	43	this	this	DET
easat-10606	189	44	work	work	NOUN
easat-10606	189	45	because	because	SCONJ
easat-10606	189	46	of	of	ADP
easat-10606	189	47	the	the	DET
easat-10606	189	48	multiple	multiple	ADJ
easat-10606	189	49	occurrences	occurrence	NOUN
easat-10606	189	50	of	of	ADP
easat-10606	189	51	words	word	NOUN
easat-10606	189	52	or	or	CCONJ
easat-10606	189	53	discrete	discrete	ADJ
easat-10606	189	54	frequency	frequency	NOUN
easat-10606	189	55	counts	count	NOUN
easat-10606	189	56	,	,	PUNCT
easat-10606	189	57	which	which	PRON
easat-10606	189	58	are	be	AUX
easat-10606	189	59	essential	essential	ADJ
easat-10606	189	60	in	in	ADP
easat-10606	189	61	a	a	DET
easat-10606	189	62	classification	classification	NOUN
easat-10606	189	63	problem	problem	NOUN
easat-10606	189	64	.	.	PUNCT
easat-10606	190	1	the	the	DET
easat-10606	190	2	model	model	NOUN
easat-10606	190	3	of	of	ADP
easat-10606	190	4	nb	nb	PROPN
easat-10606	190	5	is	be	AUX
easat-10606	190	6	described	describe	VERB
easat-10606	190	7	as	as	SCONJ
easat-10606	190	8	follows	follow	VERB
easat-10606	190	9	:	:	PUNCT
easat-10606	190	10	(	(	PUNCT
easat-10606	190	11	4	4	NUM
easat-10606	190	12	)	)	PUNCT
easat-10606	190	13	(	(	PUNCT
easat-10606	190	14	5	5	NUM
easat-10606	190	15	)	)	PUNCT
easat-10606	190	16	where	where	SCONJ
easat-10606	190	17	𝑃(𝑙𝑎𝑏𝑒𝑙	𝑃(𝑙𝑎𝑏𝑒𝑙	NOUN
easat-10606	190	18	)	)	PUNCT
easat-10606	190	19	is	be	AUX
easat-10606	190	20	the	the	DET
easat-10606	190	21	prior	prior	ADJ
easat-10606	190	22	probability	probability	NOUN
easat-10606	190	23	of	of	ADP
easat-10606	190	24	the	the	DET
easat-10606	190	25	label	label	NOUN
easat-10606	190	26	occurring	occurring	NOUN
easat-10606	190	27	;	;	PUNCT
easat-10606	190	28	𝑃(𝑓𝑒𝑎𝑡𝑢𝑟𝑒𝑠|𝑙𝑎𝑏𝑒𝑙	𝑃(𝑓𝑒𝑎𝑡𝑢𝑟𝑒𝑠|𝑙𝑎𝑏𝑒𝑙	PROPN
easat-10606	190	29	)	)	PUNCT
easat-10606	190	30	is	be	AUX
easat-10606	190	31	the	the	DET
easat-10606	190	32	prior	prior	ADJ
easat-10606	190	33	probability	probability	NOUN
easat-10606	190	34	of	of	ADP
easat-10606	190	35	a	a	DET
easat-10606	190	36	given	give	VERB
easat-10606	190	37	feature	feature	NOUN
easat-10606	190	38	being	be	AUX
easat-10606	190	39	classified	classify	VERB
easat-10606	190	40	as	as	ADP
easat-10606	190	41	that	that	DET
easat-10606	190	42	label	label	NOUN
easat-10606	190	43	;	;	PUNCT
easat-10606	190	44	𝑃(𝑓𝑒𝑎𝑡𝑢𝑟𝑒𝑠	𝑃(𝑓𝑒𝑎𝑡𝑢𝑟𝑒𝑠	NOUN
easat-10606	190	45	)	)	PUNCT
easat-10606	190	46	is	be	AUX
easat-10606	190	47	the	the	DET
easat-10606	190	48	prior	prior	ADJ
easat-10606	190	49	probability	probability	NOUN
easat-10606	190	50	of	of	ADP
easat-10606	190	51	a	a	DET
easat-10606	190	52	given	give	VERB
easat-10606	190	53	feature	feature	NOUN
easat-10606	190	54	set	set	NOUN
easat-10606	190	55	occurring	occur	VERB
easat-10606	190	56	𝑃(𝑙𝑎𝑏𝑒𝑙𝑠|𝑓𝑒𝑎𝑡𝑢𝑟𝑒𝑠)is	𝑃(𝑙𝑎𝑏𝑒𝑙𝑠|𝑓𝑒𝑎𝑡𝑢𝑟𝑒𝑠)is	PROPN
easat-10606	190	57	the	the	DET
easat-10606	190	58	probability	probability	NOUN
easat-10606	190	59	that	that	SCONJ
easat-10606	190	60	the	the	DET
easat-10606	190	61	given	give	VERB
easat-10606	190	62	features	feature	NOUN
easat-10606	190	63	should	should	AUX
easat-10606	190	64	have	have	AUX
easat-10606	190	65	that	that	DET
easat-10606	190	66	label	label	NOUN
easat-10606	190	67	.	.	PUNCT
easat-10606	191	1	(	(	PUNCT
easat-10606	191	2	6	6	NUM
easat-10606	191	3	)	)	PUNCT
easat-10606	191	4	where	where	SCONJ
easat-10606	191	5	p(c	p(c	NOUN
easat-10606	191	6	)	)	PUNCT
easat-10606	191	7	is	be	AUX
easat-10606	191	8	the	the	DET
easat-10606	191	9	probability	probability	NOUN
easat-10606	191	10	of	of	ADP
easat-10606	191	11	the	the	DET
easat-10606	191	12	class	class	NOUN
easat-10606	191	13	nc	nc	PROPN
easat-10606	191	14	is	be	AUX
easat-10606	191	15	the	the	DET
easat-10606	191	16	total	total	ADJ
easat-10606	191	17	count	count	NOUN
easat-10606	191	18	of	of	ADP
easat-10606	191	19	a	a	DET
easat-10606	191	20	particular	particular	ADJ
easat-10606	191	21	class	class	NOUN
easat-10606	191	22	in	in	ADP
easat-10606	191	23	the	the	DET
easat-10606	191	24	training	training	NOUN
easat-10606	191	25	set	set	NOUN
easat-10606	191	26	n	n	NUM
easat-10606	191	27	is	be	AUX
easat-10606	191	28	the	the	DET
easat-10606	191	29	total	total	ADJ
easat-10606	191	30	count	count	NOUN
easat-10606	191	31	of	of	ADP
easat-10606	191	32	classes	class	NOUN
easat-10606	191	33	in	in	ADP
easat-10606	191	34	the	the	DET
easat-10606	191	35	training	training	NOUN
easat-10606	191	36	set	set	VERB
easat-10606	191	37	hence	hence	ADV
easat-10606	191	38	,	,	PUNCT
easat-10606	191	39	conditional	conditional	ADJ
easat-10606	191	40	independence	independence	NOUN
easat-10606	191	41	is	be	AUX
easat-10606	191	42	evaluated	evaluate	VERB
easat-10606	191	43	as	as	SCONJ
easat-10606	191	44	follows	follow	VERB
easat-10606	191	45	(	(	PUNCT
easat-10606	191	46	7	7	NUM
easat-10606	191	47	)	)	PUNCT
easat-10606	191	48	here	here	ADV
easat-10606	191	49	,	,	PUNCT
easat-10606	191	50	𝑃(𝑊|𝐶	𝑃(𝑊|𝐶	NOUN
easat-10606	191	51	)	)	PUNCT
easat-10606	191	52	w	w	NOUN
easat-10606	191	53	is	be	AUX
easat-10606	191	54	the	the	DET
easat-10606	191	55	word	word	NOUN
easat-10606	191	56	attribute	attribute	NOUN
easat-10606	191	57	,	,	PUNCT
easat-10606	191	58	and	and	CCONJ
easat-10606	191	59	c	c	NOUN
easat-10606	191	60	is	be	AUX
easat-10606	191	61	the	the	DET
easat-10606	191	62	class	class	NOUN
easat-10606	191	63	𝑐𝑜𝑢𝑛𝑡	𝑐𝑜𝑢𝑛𝑡	NOUN
easat-10606	191	64	𝑤	𝑤	ADP
easat-10606	191	65	,	,	PUNCT
easat-10606	191	66	𝑐	𝑐	PROPN
easat-10606	191	67	𝑖𝑠	𝑖𝑠	ADJ
easat-10606	191	68	𝑡ℎ𝑒	𝑡ℎ𝑒	ADJ
easat-10606	191	69	𝑡𝑜𝑡𝑎𝑙	𝑡𝑜𝑡𝑎𝑙	ADJ
easat-10606	191	70	𝑐𝑜𝑢𝑛𝑡	𝑐𝑜𝑢𝑛𝑡	NOUN
easat-10606	191	71	𝑜𝑓	𝑜𝑓	ADP
easat-10606	191	72	𝑤𝑜𝑟𝑑𝑠	𝑤𝑜𝑟𝑑𝑠	PROPN
easat-10606	191	73	𝑎𝑡𝑡𝑟𝑖𝑏𝑢𝑡𝑒𝑠	𝑎𝑡𝑡𝑟𝑖𝑏𝑢𝑡𝑒𝑠	PROPN
easat-10606	191	74	𝑜𝑐𝑐𝑢𝑟𝑖𝑛𝑔	𝑜𝑐𝑐𝑢𝑟𝑖𝑛𝑔	PROPN
easat-10606	192	1	𝑖𝑛	𝑖𝑛	PROPN
easat-10606	192	2	𝑡ℎ𝑒	𝑡ℎ𝑒	ADJ
easat-10606	192	3	𝑐𝑙𝑎𝑠𝑠	𝑐𝑙𝑎𝑠𝑠	NOUN
easat-10606	192	4	+1	+1	PROPN
easat-10606	192	5	is	be	AUX
easat-10606	192	6	the	the	DET
easat-10606	192	7	laplace	laplace	NOUN
easat-10606	192	8	function	function	NOUN
easat-10606	192	9	count	count	NOUN
easat-10606	192	10	c	c	PROPN
easat-10606	192	11	is	be	AUX
easat-10606	192	12	the	the	DET
easat-10606	192	13	total	total	ADJ
easat-10606	192	14	number	number	NOUN
easat-10606	192	15	of	of	ADP
easat-10606	192	16	word	word	NOUN
easat-10606	192	17	attributes	attribute	VERB
easat-10606	192	18	in	in	ADP
easat-10606	192	19	a	a	DET
easat-10606	192	20	particular	particular	ADJ
easat-10606	192	21	class	class	NOUN
easat-10606	192	22	|v|	|v|	VERB
easat-10606	192	23	is	be	AUX
easat-10606	192	24	the	the	DET
easat-10606	192	25	vocabulary	vocabulary	ADJ
easat-10606	192	26	1156	1156	NUM
easat-10606	192	27	edelweiss	edelweiss	PROPN
easat-10606	192	28	applied	apply	VERB
easat-10606	192	29	science	science	NOUN
easat-10606	192	30	and	and	CCONJ
easat-10606	192	31	technology	technology	NOUN
easat-10606	192	32	issn	issn	PROPN
easat-10606	192	33	:	:	PUNCT
easat-10606	192	34	2576	2576	NUM
easat-10606	192	35	-	-	SYM
easat-10606	192	36	8484	8484	NUM
easat-10606	192	37	vol	vol	NOUN
easat-10606	192	38	.	.	PROPN
easat-10606	193	1	9	9	NUM
easat-10606	193	2	,	,	PUNCT
easat-10606	193	3	no	no	INTJ
easat-10606	193	4	.	.	NOUN
easat-10606	193	5	10	10	NUM
easat-10606	193	6	:	:	SYM
easat-10606	193	7	1149	1149	NUM
easat-10606	193	8	-	-	SYM
easat-10606	193	9	1180	1180	NUM
easat-10606	193	10	,	,	PUNCT
easat-10606	193	11	2025	2025	NUM
easat-10606	193	12	doi	doi	NOUN
easat-10606	193	13	:	:	PUNCT
easat-10606	193	14	10.55214/2576	10.55214/2576	NUM
easat-10606	193	15	-	-	SYM
easat-10606	193	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	193	17	©	©	ADP
easat-10606	193	18	2025	2025	NUM
easat-10606	193	19	by	by	ADP
easat-10606	193	20	the	the	DET
easat-10606	193	21	authors	author	NOUN
easat-10606	193	22	;	;	PUNCT
easat-10606	193	23	licensee	licensee	PROPN
easat-10606	193	24	learning	learn	VERB
easat-10606	193	25	gate	gate	PROPN
easat-10606	193	26	1.1.7	1.1.7	PROPN
easat-10606	193	27	.	.	PUNCT
easat-10606	194	1	ensemble	ensemble	ADJ
easat-10606	194	2	method	method	NOUN
easat-10606	194	3	an	an	DET
easat-10606	194	4	ensemble	ensemble	ADJ
easat-10606	194	5	is	be	AUX
easat-10606	194	6	a	a	DET
easat-10606	194	7	classification	classification	NOUN
easat-10606	194	8	technique	technique	NOUN
easat-10606	194	9	that	that	PRON
easat-10606	194	10	reuses	reuse	VERB
easat-10606	194	11	one	one	NUM
easat-10606	194	12	or	or	CCONJ
easat-10606	194	13	more	more	ADJ
easat-10606	194	14	classification	classification	NOUN
easat-10606	194	15	algorithms	algorithm	NOUN
easat-10606	194	16	for	for	ADP
easat-10606	194	17	robustness	robustness	NOUN
easat-10606	194	18	with	with	ADP
easat-10606	194	19	multiple	multiple	ADJ
easat-10606	194	20	models	model	NOUN
easat-10606	194	21	or	or	CCONJ
easat-10606	194	22	the	the	DET
easat-10606	194	23	same	same	ADJ
easat-10606	194	24	method	method	NOUN
easat-10606	194	25	for	for	ADP
easat-10606	194	26	different	different	ADJ
easat-10606	194	27	parts	part	NOUN
easat-10606	194	28	of	of	ADP
easat-10606	194	29	the	the	DET
easat-10606	194	30	data	datum	NOUN
easat-10606	194	31	.	.	PUNCT
easat-10606	195	1	in	in	ADP
easat-10606	195	2	other	other	ADJ
easat-10606	195	3	words	word	NOUN
easat-10606	195	4	,	,	PUNCT
easat-10606	195	5	an	an	DET
easat-10606	195	6	ensemble	ensemble	ADJ
easat-10606	195	7	is	be	AUX
easat-10606	195	8	a	a	DET
easat-10606	195	9	type	type	NOUN
easat-10606	195	10	of	of	ADP
easat-10606	195	11	hybrid	hybrid	ADJ
easat-10606	195	12	learning	learning	NOUN
easat-10606	195	13	system	system	NOUN
easat-10606	195	14	in	in	ADP
easat-10606	195	15	which	which	PRON
easat-10606	195	16	multiple	multiple	ADJ
easat-10606	195	17	(	(	PUNCT
easat-10606	195	18	base	base	NOUN
easat-10606	195	19	classifiers	classifier	NOUN
easat-10606	195	20	)	)	PUNCT
easat-10606	195	21	analytics	analytic	NOUN
easat-10606	195	22	are	be	AUX
easat-10606	195	23	intelligently	intelligently	ADV
easat-10606	195	24	coupled	couple	VERB
easat-10606	195	25	or	or	CCONJ
easat-10606	195	26	combined	combine	VERB
easat-10606	195	27	to	to	PART
easat-10606	195	28	generate	generate	VERB
easat-10606	195	29	better	well	ADJ
easat-10606	195	30	results	result	NOUN
easat-10606	195	31	than	than	SCONJ
easat-10606	195	32	single	single	ADJ
easat-10606	195	33	analytics	analytic	NOUN
easat-10606	195	34	can	can	AUX
easat-10606	195	35	offer	offer	VERB
easat-10606	195	36	(	(	PUNCT
easat-10606	195	37	more	more	ADV
easat-10606	195	38	accurate	accurate	ADJ
easat-10606	195	39	,	,	PUNCT
easat-10606	195	40	more	more	ADV
easat-10606	195	41	robust	robust	ADJ
easat-10606	195	42	,	,	PUNCT
easat-10606	195	43	etc	etc	X
easat-10606	195	44	.	.	X
easat-10606	195	45	)	)	PUNCT
easat-10606	195	46	.	.	PUNCT
easat-10606	196	1	even	even	ADV
easat-10606	196	2	though	though	SCONJ
easat-10606	196	3	certain	certain	ADJ
easat-10606	196	4	ensemble	ensemble	ADJ
easat-10606	196	5	classifiers	classifier	NOUN
easat-10606	196	6	may	may	AUX
easat-10606	196	7	perform	perform	VERB
easat-10606	196	8	poorly	poorly	ADV
easat-10606	196	9	,	,	PUNCT
easat-10606	196	10	overall	overall	ADJ
easat-10606	196	11	prediction	prediction	NOUN
easat-10606	196	12	quality	quality	NOUN
easat-10606	196	13	is	be	AUX
easat-10606	196	14	guaranteed	guarantee	VERB
easat-10606	196	15	.	.	PUNCT
easat-10606	197	1	these	these	DET
easat-10606	197	2	methods	method	NOUN
easat-10606	197	3	have	have	AUX
easat-10606	197	4	been	be	AUX
easat-10606	197	5	an	an	DET
easat-10606	197	6	exceedingly	exceedingly	ADV
easat-10606	197	7	powerful	powerful	ADJ
easat-10606	197	8	expansion	expansion	NOUN
easat-10606	197	9	of	of	ADP
easat-10606	197	10	data	datum	NOUN
easat-10606	197	11	mining	mining	NOUN
easat-10606	197	12	and	and	CCONJ
easat-10606	197	13	machine	machine	NOUN
easat-10606	197	14	learning	learn	VERB
easat-10606	197	15	techniques	technique	NOUN
easat-10606	197	16	,	,	PUNCT
easat-10606	197	17	which	which	PRON
easat-10606	197	18	synthesize	synthesize	VERB
easat-10606	197	19	manifold	manifold	ADJ
easat-10606	197	20	classifiers	classifier	NOUN
easat-10606	197	21	into	into	ADP
easat-10606	197	22	a	a	DET
easat-10606	197	23	single	single	ADJ
easat-10606	197	24	,	,	PUNCT
easat-10606	197	25	more	more	ADV
easat-10606	197	26	accurate	accurate	ADJ
easat-10606	197	27	model	model	NOUN
easat-10606	197	28	.	.	PUNCT
easat-10606	198	1	furthermore	furthermore	ADV
easat-10606	198	2	,	,	PUNCT
easat-10606	198	3	an	an	DET
easat-10606	198	4	ensemble	ensemble	ADJ
easat-10606	198	5	model	model	NOUN
easat-10606	198	6	is	be	AUX
easat-10606	198	7	built	build	VERB
easat-10606	198	8	with	with	ADP
easat-10606	198	9	two	two	NUM
easat-10606	198	10	major	major	ADJ
easat-10606	198	11	goals	goal	NOUN
easat-10606	198	12	while	while	SCONJ
easat-10606	198	13	blending	blend	VERB
easat-10606	198	14	predictions	prediction	NOUN
easat-10606	198	15	from	from	ADP
easat-10606	198	16	multiple	multiple	ADJ
easat-10606	198	17	models	model	NOUN
easat-10606	198	18	.	.	PUNCT
easat-10606	199	1	the	the	DET
easat-10606	199	2	foremost	foremost	ADJ
easat-10606	199	3	intent	intent	NOUN
easat-10606	199	4	is	be	AUX
easat-10606	199	5	to	to	PART
easat-10606	199	6	augment	augment	VERB
easat-10606	199	7	the	the	DET
easat-10606	199	8	prediction	prediction	NOUN
easat-10606	199	9	accuracy	accuracy	NOUN
easat-10606	199	10	of	of	ADP
easat-10606	199	11	a	a	DET
easat-10606	199	12	model	model	NOUN
easat-10606	199	13	generated	generate	VERB
easat-10606	199	14	by	by	ADP
easat-10606	199	15	hybridizing	hybridize	VERB
easat-10606	199	16	multiple	multiple	ADJ
easat-10606	199	17	classifiers	classifier	NOUN
easat-10606	199	18	over	over	ADP
easat-10606	199	19	a	a	DET
easat-10606	199	20	single	single	ADJ
easat-10606	199	21	base	base	NOUN
easat-10606	199	22	classifier	classifier	NOUN
easat-10606	199	23	.	.	PUNCT
easat-10606	200	1	secondly	secondly	ADV
easat-10606	200	2	,	,	PUNCT
easat-10606	200	3	to	to	PART
easat-10606	200	4	minimize	minimize	VERB
easat-10606	200	5	the	the	DET
easat-10606	200	6	overfitting	overfitte	VERB
easat-10606	200	7	problem	problem	NOUN
easat-10606	200	8	in	in	ADP
easat-10606	200	9	base	base	NOUN
easat-10606	200	10	classifiers	classifier	NOUN
easat-10606	200	11	and	and	CCONJ
easat-10606	200	12	subsequently	subsequently	ADV
easat-10606	200	13	boost	boost	VERB
easat-10606	200	14	the	the	DET
easat-10606	200	15	classifier	classifier	NOUN
easat-10606	200	16	's	's	PART
easat-10606	200	17	stability	stability	NOUN
easat-10606	200	18	and	and	CCONJ
easat-10606	200	19	prediction	prediction	NOUN
easat-10606	200	20	accuracy	accuracy	NOUN
easat-10606	200	21	.	.	PUNCT
easat-10606	201	1	the	the	DET
easat-10606	201	2	fundamental	fundamental	ADJ
easat-10606	201	3	standard	standard	NOUN
easat-10606	201	4	is	be	AUX
easat-10606	201	5	that	that	SCONJ
easat-10606	201	6	an	an	DET
easat-10606	201	7	ensemble	ensemble	ADJ
easat-10606	201	8	method	method	NOUN
easat-10606	201	9	can	can	AUX
easat-10606	201	10	choose	choose	VERB
easat-10606	201	11	a	a	DET
easat-10606	201	12	set	set	NOUN
easat-10606	201	13	of	of	ADP
easat-10606	201	14	instances	instance	NOUN
easat-10606	201	15	from	from	ADP
easat-10606	201	16	a	a	DET
easat-10606	201	17	wide	wide	ADJ
easat-10606	201	18	spectrum	spectrum	NOUN
easat-10606	201	19	of	of	ADP
easat-10606	201	20	hypothesis	hypothesis	NOUN
easat-10606	201	21	sets	set	NOUN
easat-10606	201	22	and	and	CCONJ
easat-10606	201	23	blend	blend	VERB
easat-10606	201	24	their	their	PRON
easat-10606	201	25	predictions	prediction	NOUN
easat-10606	201	26	into	into	ADP
easat-10606	201	27	a	a	DET
easat-10606	201	28	single	single	ADJ
easat-10606	201	29	prediction	prediction	NOUN
easat-10606	201	30	[	[	X
easat-10606	201	31	41	41	NUM
easat-10606	201	32	]	]	PUNCT
easat-10606	201	33	.	.	PUNCT
easat-10606	202	1	however	however	ADV
easat-10606	202	2	,	,	PUNCT
easat-10606	202	3	there	there	PRON
easat-10606	202	4	are	be	VERB
easat-10606	202	5	various	various	ADJ
easat-10606	202	6	ensemble	ensemble	ADJ
easat-10606	202	7	techniques	technique	NOUN
easat-10606	202	8	or	or	CCONJ
easat-10606	202	9	meta	meta	NOUN
easat-10606	202	10	-	-	PUNCT
easat-10606	202	11	algorithms	algorithm	NOUN
easat-10606	202	12	such	such	ADJ
easat-10606	202	13	as	as	ADP
easat-10606	202	14	stacking	stacking	NOUN
easat-10606	202	15	,	,	PUNCT
easat-10606	202	16	bagging	bagging	NOUN
easat-10606	202	17	,	,	PUNCT
easat-10606	202	18	voting	voting	NOUN
easat-10606	202	19	,	,	PUNCT
easat-10606	202	20	and	and	CCONJ
easat-10606	202	21	boosting	boost	VERB
easat-10606	202	22	.	.	PUNCT
easat-10606	203	1	rahman	rahman	PROPN
easat-10606	203	2	and	and	CCONJ
easat-10606	203	3	tasnim	tasnim	NOUN
easat-10606	204	1	[	[	X
easat-10606	204	2	42	42	NUM
easat-10606	204	3	]	]	PUNCT
easat-10606	204	4	described	describe	VERB
easat-10606	204	5	the	the	DET
easat-10606	204	6	base	base	NOUN
easat-10606	204	7	classifiers	classifier	NOUN
easat-10606	204	8	as	as	ADP
easat-10606	204	9	individual	individual	ADJ
easat-10606	204	10	or	or	CCONJ
easat-10606	204	11	single	single	ADJ
easat-10606	204	12	classifiers	classifier	NOUN
easat-10606	204	13	,	,	PUNCT
easat-10606	204	14	which	which	PRON
easat-10606	204	15	are	be	AUX
easat-10606	204	16	exploited	exploit	VERB
easat-10606	204	17	or	or	CCONJ
easat-10606	204	18	employed	employ	VERB
easat-10606	204	19	to	to	PART
easat-10606	204	20	construct	construct	VERB
easat-10606	204	21	the	the	DET
easat-10606	204	22	meta	meta	ADJ
easat-10606	204	23	-	-	PUNCT
easat-10606	204	24	classifiers	classifier	NOUN
easat-10606	204	25	.	.	PUNCT
easat-10606	205	1	yet	yet	ADV
easat-10606	205	2	,	,	PUNCT
easat-10606	205	3	ensemble	ensemble	ADJ
easat-10606	205	4	classifiers	classifier	NOUN
easat-10606	205	5	have	have	AUX
easat-10606	205	6	been	be	AUX
easat-10606	205	7	found	find	VERB
easat-10606	205	8	more	more	ADV
easat-10606	205	9	effective	effective	ADJ
easat-10606	205	10	in	in	ADP
easat-10606	205	11	the	the	DET
easat-10606	205	12	growth	growth	NOUN
easat-10606	205	13	or	or	CCONJ
easat-10606	205	14	development	development	NOUN
easat-10606	205	15	of	of	ADP
easat-10606	205	16	educational	educational	ADJ
easat-10606	205	17	data	datum	NOUN
easat-10606	205	18	mining	mining	NOUN
easat-10606	205	19	and	and	CCONJ
easat-10606	205	20	machine	machine	NOUN
easat-10606	205	21	learning	learning	NOUN
easat-10606	205	22	models	model	NOUN
easat-10606	205	23	,	,	PUNCT
easat-10606	205	24	particularly	particularly	ADV
easat-10606	205	25	in	in	ADP
easat-10606	205	26	evaluating	evaluate	VERB
easat-10606	205	27	student	student	NOUN
easat-10606	205	28	academic	academic	ADJ
easat-10606	205	29	performance	performance	NOUN
easat-10606	205	30	,	,	PUNCT
easat-10606	205	31	thereby	thereby	ADV
easat-10606	205	32	producing	produce	VERB
easat-10606	205	33	significant	significant	ADJ
easat-10606	205	34	results	result	NOUN
easat-10606	205	35	than	than	ADP
easat-10606	205	36	individual	individual	ADJ
easat-10606	205	37	classifiers	classifier	NOUN
easat-10606	205	38	[	[	X
easat-10606	205	39	43	43	NUM
easat-10606	205	40	]	]	PUNCT
easat-10606	205	41	.	.	PUNCT
easat-10606	206	1	in	in	ADP
easat-10606	206	2	this	this	DET
easat-10606	206	3	study	study	NOUN
easat-10606	206	4	,	,	PUNCT
easat-10606	206	5	however	however	ADV
easat-10606	206	6	,	,	PUNCT
easat-10606	206	7	the	the	DET
easat-10606	206	8	stacking	stack	VERB
easat-10606	206	9	ensemble	ensemble	ADJ
easat-10606	206	10	technique	technique	NOUN
easat-10606	206	11	is	be	AUX
easat-10606	206	12	used	use	VERB
easat-10606	206	13	.	.	PUNCT
easat-10606	207	1	1.1.8	1.1.8	X
easat-10606	207	2	.	.	PUNCT
easat-10606	208	1	stacking	stack	VERB
easat-10606	208	2	ensemble	ensemble	ADJ
easat-10606	208	3	the	the	DET
easat-10606	208	4	stacking	stack	VERB
easat-10606	208	5	ensemble	ensemble	ADJ
easat-10606	208	6	method	method	NOUN
easat-10606	208	7	is	be	AUX
easat-10606	208	8	a	a	DET
easat-10606	208	9	variant	variant	NOUN
easat-10606	208	10	of	of	ADP
easat-10606	208	11	the	the	DET
easat-10606	208	12	voting	voting	NOUN
easat-10606	208	13	approach	approach	NOUN
easat-10606	208	14	in	in	ADP
easat-10606	208	15	which	which	PRON
easat-10606	208	16	various	various	ADJ
easat-10606	208	17	independent	independent	ADJ
easat-10606	208	18	model	model	NOUN
easat-10606	208	19	types	type	NOUN
easat-10606	208	20	are	be	AUX
easat-10606	208	21	built	build	VERB
easat-10606	208	22	using	use	VERB
easat-10606	208	23	the	the	DET
easat-10606	208	24	same	same	ADJ
easat-10606	208	25	training	training	NOUN
easat-10606	208	26	data	datum	NOUN
easat-10606	208	27	.	.	PUNCT
easat-10606	209	1	however	however	ADV
easat-10606	209	2	,	,	PUNCT
easat-10606	209	3	the	the	DET
easat-10606	209	4	independent	independent	ADJ
easat-10606	209	5	models	model	NOUN
easat-10606	209	6	are	be	AUX
easat-10606	209	7	all	all	PRON
easat-10606	209	8	combined	combined	ADJ
easat-10606	209	9	using	use	VERB
easat-10606	209	10	a	a	DET
easat-10606	209	11	different	different	ADJ
easat-10606	209	12	machine	machine	NOUN
easat-10606	209	13	learning	learning	NOUN
easat-10606	209	14	model	model	NOUN
easat-10606	209	15	for	for	ADP
easat-10606	209	16	three	three	NUM
easat-10606	209	17	-	-	PUNCT
easat-10606	209	18	group	group	NOUN
easat-10606	209	19	classification	classification	NOUN
easat-10606	209	20	problems	problem	NOUN
easat-10606	209	21	.	.	PUNCT
easat-10606	210	1	it	it	PRON
easat-10606	210	2	is	be	AUX
easat-10606	210	3	a	a	DET
easat-10606	210	4	machine	machine	NOUN
easat-10606	210	5	learning	learn	VERB
easat-10606	210	6	algorithm	algorithm	NOUN
easat-10606	210	7	as	as	ADP
easat-10606	210	8	a	a	DET
easat-10606	210	9	whole	whole	NOUN
easat-10606	210	10	that	that	PRON
easat-10606	210	11	is	be	AUX
easat-10606	210	12	used	use	VERB
easat-10606	210	13	to	to	PART
easat-10606	210	14	increase	increase	VERB
easat-10606	210	15	accuracy	accuracy	NOUN
easat-10606	210	16	by	by	ADP
easat-10606	210	17	combining	combine	VERB
easat-10606	210	18	predictions	prediction	NOUN
easat-10606	210	19	from	from	ADP
easat-10606	210	20	multiple	multiple	ADJ
easat-10606	210	21	base	base	NOUN
easat-10606	210	22	-	-	PUNCT
easat-10606	210	23	level	level	NOUN
easat-10606	210	24	learners	learner	NOUN
easat-10606	210	25	into	into	ADP
easat-10606	210	26	one	one	NUM
easat-10606	210	27	general	general	ADJ
easat-10606	210	28	prediction	prediction	NOUN
easat-10606	210	29	using	use	VERB
easat-10606	210	30	a	a	DET
easat-10606	210	31	higher	high	ADJ
easat-10606	210	32	-	-	PUNCT
easat-10606	210	33	level	level	NOUN
easat-10606	210	34	base	base	NOUN
easat-10606	210	35	meta	meta	ADJ
easat-10606	210	36	-	-	PUNCT
easat-10606	210	37	learner	learner	NOUN
easat-10606	210	38	algorithm	algorithm	NOUN
easat-10606	210	39	[	[	X
easat-10606	210	40	44	44	NUM
easat-10606	210	41	]	]	PUNCT
easat-10606	210	42	.	.	PUNCT
easat-10606	211	1	it	it	PRON
easat-10606	211	2	is	be	AUX
easat-10606	211	3	well	well	ADV
easat-10606	211	4	known	know	VERB
easat-10606	211	5	that	that	SCONJ
easat-10606	211	6	ensemble	ensemble	ADJ
easat-10606	211	7	techniques	technique	NOUN
easat-10606	211	8	can	can	AUX
easat-10606	211	9	lower	lower	VERB
easat-10606	211	10	estimator	estimator	NOUN
easat-10606	211	11	variance	variance	NOUN
easat-10606	211	12	,	,	PUNCT
easat-10606	211	13	which	which	PRON
easat-10606	211	14	enhances	enhance	VERB
easat-10606	211	15	the	the	DET
easat-10606	211	16	accuracy	accuracy	NOUN
easat-10606	211	17	of	of	ADP
easat-10606	211	18	predictions	prediction	NOUN
easat-10606	211	19	.	.	PUNCT
easat-10606	212	1	to	to	PART
easat-10606	212	2	increase	increase	VERB
easat-10606	212	3	the	the	DET
easat-10606	212	4	accuracy	accuracy	NOUN
easat-10606	212	5	of	of	ADP
easat-10606	212	6	averaging	averaging	NOUN
easat-10606	212	7	,	,	PUNCT
easat-10606	212	8	various	various	ADJ
easat-10606	212	9	randomization	randomization	NOUN
easat-10606	212	10	or	or	CCONJ
easat-10606	212	11	data	datum	NOUN
easat-10606	212	12	augmentation	augmentation	NOUN
easat-10606	212	13	techniques	technique	NOUN
easat-10606	212	14	are	be	AUX
easat-10606	212	15	frequently	frequently	ADV
easat-10606	212	16	used	use	VERB
easat-10606	212	17	to	to	PART
easat-10606	212	18	encourage	encourage	VERB
easat-10606	212	19	a	a	DET
easat-10606	212	20	wide	wide	ADJ
easat-10606	212	21	variety	variety	NOUN
easat-10606	212	22	of	of	ADP
easat-10606	212	23	predictions	prediction	NOUN
easat-10606	212	24	.	.	PUNCT
easat-10606	213	1	the	the	DET
easat-10606	213	2	ensemble	ensemble	ADJ
easat-10606	213	3	prediction	prediction	NOUN
easat-10606	213	4	is	be	AUX
easat-10606	213	5	denoted	denote	VERB
easat-10606	213	6	in	in	ADP
easat-10606	213	7	equation	equation	NOUN
easat-10606	213	8	8	8	NUM
easat-10606	213	9	.	.	PUNCT
easat-10606	214	1	(	(	PUNCT
easat-10606	214	2	8)	8)	NUM
easat-10606	214	3	where	where	SCONJ
easat-10606	214	4	ht	ht	PROPN
easat-10606	214	5	is	be	AUX
easat-10606	214	6	the	the	DET
easat-10606	214	7	ensemble	ensemble	ADJ
easat-10606	214	8	predictor	predictor	NOUN
easat-10606	214	9	used	use	VERB
easat-10606	214	10	to	to	PART
easat-10606	214	11	make	make	VERB
easat-10606	214	12	a	a	DET
easat-10606	214	13	prediction	prediction	NOUN
easat-10606	214	14	of	of	ADP
easat-10606	214	15	zt	zt	PROPN
easat-10606	214	16	based	base	VERB
easat-10606	214	17	on	on	ADP
easat-10606	214	18	the	the	DET
easat-10606	214	19	weighted	weight	VERB
easat-10606	214	20	results	result	NOUN
easat-10606	214	21	of	of	ADP
easat-10606	214	22	svm	svm	PROPN
easat-10606	214	23	,	,	PUNCT
easat-10606	214	24	nn	nn	PROPN
easat-10606	214	25	,	,	PUNCT
easat-10606	214	26	lr	lr	NOUN
easat-10606	214	27	,	,	PUNCT
easat-10606	214	28	and	and	CCONJ
easat-10606	214	29	nb	nb	INTJ
easat-10606	214	30	.	.	PUNCT
easat-10606	215	1	the	the	DET
easat-10606	215	2	weight	weight	NOUN
easat-10606	215	3	vector	vector	NOUN
easat-10606	215	4	jt	jt	PROPN
easat-10606	215	5	is	be	AUX
easat-10606	215	6	associated	associate	VERB
easat-10606	215	7	with	with	ADP
easat-10606	215	8	the	the	DET
easat-10606	215	9	support	support	NOUN
easat-10606	215	10	vector	vector	NOUN
easat-10606	215	11	machine	machine	NOUN
easat-10606	215	12	result	result	NOUN
easat-10606	215	13	set	set	NOUN
easat-10606	215	14	,	,	PUNCT
easat-10606	215	15	the	the	DET
easat-10606	215	16	weight	weight	NOUN
easat-10606	215	17	vector	vector	NOUN
easat-10606	215	18	w	w	NOUN
easat-10606	215	19	is	be	AUX
easat-10606	215	20	associated	associate	VERB
easat-10606	215	21	with	with	ADP
easat-10606	215	22	the	the	DET
easat-10606	215	23	neural	neural	ADJ
easat-10606	215	24	network	network	NOUN
easat-10606	215	25	result	result	NOUN
easat-10606	215	26	,	,	PUNCT
easat-10606	215	27	nott	nott	ADJ
easat-10606	215	28	and	and	CCONJ
easat-10606	215	29	the	the	DET
easat-10606	215	30	weight	weight	NOUN
easat-10606	215	31	vector	vector	NOUN
easat-10606	215	32	nott	nott	NOUN
easat-10606	215	33	is	be	AUX
easat-10606	215	34	associated	associate	VERB
easat-10606	215	35	with	with	ADP
easat-10606	215	36	the	the	DET
easat-10606	215	37	naïve	naïve	ADJ
easat-10606	215	38	bayes	bayes	PROPN
easat-10606	215	39	result	result	VERB
easat-10606	215	40	rt	rt	PROPN
easat-10606	215	41	.	.	PROPN
easat-10606	215	42	2	2	X
easat-10606	215	43	.	.	X
easat-10606	215	44	literature	literature	NOUN
easat-10606	215	45	review	review	VERB
easat-10606	215	46	2.1	2.1	NUM
easat-10606	215	47	.	.	PUNCT
easat-10606	216	1	sentiment	sentiment	NOUN
easat-10606	216	2	analysis	analysis	NOUN
easat-10606	216	3	in	in	ADP
easat-10606	216	4	the	the	DET
easat-10606	216	5	education	education	NOUN
easat-10606	216	6	domain	domain	NOUN
easat-10606	216	7	sa	sa	NOUN
easat-10606	216	8	is	be	AUX
easat-10606	216	9	a	a	DET
easat-10606	216	10	task	task	NOUN
easat-10606	216	11	that	that	PRON
easat-10606	216	12	concentrates	concentrate	VERB
easat-10606	216	13	on	on	ADP
easat-10606	216	14	identifying	identify	VERB
easat-10606	216	15	polarity	polarity	NOUN
easat-10606	216	16	and	and	CCONJ
easat-10606	216	17	feelings	feeling	NOUN
easat-10606	216	18	about	about	ADP
easat-10606	216	19	a	a	DET
easat-10606	216	20	subject	subject	NOUN
easat-10606	216	21	or	or	CCONJ
easat-10606	216	22	an	an	DET
easat-10606	216	23	event	event	NOUN
easat-10606	216	24	.	.	PUNCT
easat-10606	217	1	finding	find	VERB
easat-10606	217	2	people	people	NOUN
easat-10606	217	3	's	's	PART
easat-10606	217	4	opinions	opinion	NOUN
easat-10606	217	5	,	,	PUNCT
easat-10606	217	6	identifying	identify	VERB
easat-10606	217	7	the	the	DET
easat-10606	217	8	sentiments	sentiment	NOUN
easat-10606	217	9	they	they	PRON
easat-10606	217	10	convey	convey	VERB
easat-10606	217	11	,	,	PUNCT
easat-10606	217	12	and	and	CCONJ
easat-10606	217	13	categorising	categorise	VERB
easat-10606	217	14	them	they	PRON
easat-10606	217	15	as	as	ADP
easat-10606	217	16	positive	positive	ADJ
easat-10606	217	17	,	,	PUNCT
easat-10606	217	18	negative	negative	ADJ
easat-10606	217	19	,	,	PUNCT
easat-10606	217	20	or	or	CCONJ
easat-10606	217	21	neutral	neutral	ADJ
easat-10606	217	22	are	be	AUX
easat-10606	217	23	the	the	DET
easat-10606	217	24	general	general	ADJ
easat-10606	217	25	goals	goal	NOUN
easat-10606	217	26	of	of	ADP
easat-10606	217	27	sentiment	sentiment	NOUN
easat-10606	217	28	analysis	analysis	NOUN
easat-10606	217	29	.	.	PUNCT
easat-10606	218	1	additionally	additionally	ADV
easat-10606	218	2	,	,	PUNCT
easat-10606	218	3	sentiment	sentiment	NOUN
easat-10606	218	4	analysis	analysis	NOUN
easat-10606	218	5	systems	system	NOUN
easat-10606	218	6	search	search	NOUN
easat-10606	218	7	,	,	PUNCT
easat-10606	218	8	retrieve	retrieve	NOUN
easat-10606	218	9	,	,	PUNCT
easat-10606	218	10	and	and	CCONJ
easat-10606	218	11	synthesise	synthesise	VERB
easat-10606	218	12	knowledge	knowledge	NOUN
easat-10606	218	13	and	and	CCONJ
easat-10606	218	14	opinions	opinion	NOUN
easat-10606	218	15	from	from	ADP
easat-10606	218	16	large	large	ADJ
easat-10606	218	17	amounts	amount	NOUN
easat-10606	218	18	of	of	ADP
easat-10606	218	19	textual	textual	ADJ
easat-10606	218	20	data	datum	NOUN
easat-10606	218	21	using	use	VERB
easat-10606	218	22	natural	natural	ADJ
easat-10606	218	23	language	language	NOUN
easat-10606	218	24	processing	processing	NOUN
easat-10606	218	25	(	(	PUNCT
easat-10606	218	26	nlp	nlp	NOUN
easat-10606	218	27	)	)	PUNCT
easat-10606	218	28	and	and	CCONJ
easat-10606	218	29	machine	machine	NOUN
easat-10606	218	30	learning	learning	NOUN
easat-10606	218	31	(	(	PUNCT
easat-10606	218	32	ml	ml	NOUN
easat-10606	218	33	)	)	PUNCT
easat-10606	218	34	approaches	approach	NOUN
easat-10606	218	35	[	[	X
easat-10606	218	36	45	45	NUM
easat-10606	218	37	]	]	PUNCT
easat-10606	218	38	.	.	PUNCT
easat-10606	219	1	massive	massive	ADJ
easat-10606	219	2	open	open	ADJ
easat-10606	219	3	online	online	ADJ
easat-10606	219	4	courses	course	NOUN
easat-10606	219	5	(	(	PUNCT
easat-10606	219	6	moocs	mooc	NOUN
easat-10606	219	7	)	)	PUNCT
easat-10606	219	8	in	in	ADP
easat-10606	219	9	particular	particular	ADJ
easat-10606	219	10	have	have	AUX
easat-10606	219	11	drawn	draw	VERB
easat-10606	219	12	a	a	DET
easat-10606	219	13	lot	lot	NOUN
easat-10606	219	14	of	of	ADP
easat-10606	219	15	attention	attention	NOUN
easat-10606	219	16	to	to	ADP
easat-10606	219	17	research	research	NOUN
easat-10606	219	18	on	on	ADP
easat-10606	219	19	sentiment	sentiment	NOUN
easat-10606	219	20	analysis	analysis	NOUN
easat-10606	219	21	,	,	PUNCT
easat-10606	219	22	1157	1157	NUM
easat-10606	219	23	edelweiss	edelweiss	PROPN
easat-10606	219	24	applied	apply	VERB
easat-10606	219	25	science	science	NOUN
easat-10606	219	26	and	and	CCONJ
easat-10606	219	27	technology	technology	NOUN
easat-10606	219	28	issn	issn	PROPN
easat-10606	219	29	:	:	PUNCT
easat-10606	219	30	2576	2576	NUM
easat-10606	219	31	-	-	SYM
easat-10606	219	32	8484	8484	NUM
easat-10606	219	33	vol	vol	NOUN
easat-10606	219	34	.	.	PROPN
easat-10606	220	1	9	9	NUM
easat-10606	220	2	,	,	PUNCT
easat-10606	220	3	no	no	INTJ
easat-10606	220	4	.	.	NOUN
easat-10606	220	5	10	10	NUM
easat-10606	220	6	:	:	SYM
easat-10606	220	7	1149	1149	NUM
easat-10606	220	8	-	-	SYM
easat-10606	220	9	1180	1180	NUM
easat-10606	220	10	,	,	PUNCT
easat-10606	220	11	2025	2025	NUM
easat-10606	220	12	doi	doi	NOUN
easat-10606	220	13	:	:	PUNCT
easat-10606	220	14	10.55214/2576	10.55214/2576	NUM
easat-10606	220	15	-	-	SYM
easat-10606	220	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	220	17	©	©	ADP
easat-10606	220	18	2025	2025	NUM
easat-10606	220	19	by	by	ADP
easat-10606	220	20	the	the	DET
easat-10606	220	21	authors	author	NOUN
easat-10606	220	22	;	;	PUNCT
easat-10606	220	23	licensee	licensee	PROPN
easat-10606	220	24	learning	learning	NOUN
easat-10606	220	25	gate	gate	NOUN
easat-10606	220	26	which	which	PRON
easat-10606	220	27	is	be	AUX
easat-10606	220	28	the	the	DET
easat-10606	220	29	process	process	NOUN
easat-10606	220	30	of	of	ADP
easat-10606	220	31	identifying	identify	VERB
easat-10606	220	32	sentiment	sentiment	NOUN
easat-10606	220	33	words	word	NOUN
easat-10606	220	34	and	and	CCONJ
easat-10606	220	35	phrases	phrase	NOUN
easat-10606	220	36	that	that	PRON
easat-10606	220	37	represent	represent	VERB
easat-10606	220	38	emotions	emotion	NOUN
easat-10606	221	1	[	[	X
easat-10606	221	2	46	46	NUM
easat-10606	221	3	,	,	PUNCT
easat-10606	221	4	47	47	NUM
easat-10606	221	5	]	]	PUNCT
easat-10606	221	6	.	.	PUNCT
easat-10606	222	1	sentiment	sentiment	NOUN
easat-10606	222	2	analysis	analysis	NOUN
easat-10606	222	3	is	be	AUX
easat-10606	222	4	a	a	DET
easat-10606	222	5	method	method	NOUN
easat-10606	222	6	that	that	PRON
easat-10606	222	7	can	can	AUX
easat-10606	222	8	be	be	AUX
easat-10606	222	9	used	use	VERB
easat-10606	222	10	to	to	PART
easat-10606	222	11	get	get	VERB
easat-10606	222	12	the	the	DET
easat-10606	222	13	user	user	NOUN
easat-10606	222	14	's	's	PART
easat-10606	222	15	most	most	ADV
easat-10606	222	16	crucial	crucial	ADJ
easat-10606	222	17	information	information	NOUN
easat-10606	222	18	.	.	PUNCT
easat-10606	223	1	the	the	DET
easat-10606	223	2	most	most	ADV
easat-10606	223	3	essential	essential	ADJ
easat-10606	223	4	information	information	NOUN
easat-10606	223	5	for	for	ADP
easat-10606	223	6	the	the	DET
easat-10606	223	7	user	user	NOUN
easat-10606	223	8	can	can	AUX
easat-10606	223	9	be	be	AUX
easat-10606	223	10	extracted	extract	VERB
easat-10606	223	11	from	from	ADP
easat-10606	223	12	plain	plain	ADJ
easat-10606	223	13	text	text	NOUN
easat-10606	223	14	data	datum	NOUN
easat-10606	223	15	using	use	VERB
easat-10606	223	16	the	the	DET
easat-10606	223	17	approach	approach	NOUN
easat-10606	223	18	of	of	ADP
easat-10606	223	19	sentiment	sentiment	NOUN
easat-10606	223	20	analysis	analysis	NOUN
easat-10606	223	21	.	.	PUNCT
easat-10606	224	1	this	this	PRON
easat-10606	224	2	has	have	AUX
easat-10606	224	3	sparked	spark	VERB
easat-10606	224	4	an	an	DET
easat-10606	224	5	increase	increase	NOUN
easat-10606	224	6	in	in	ADP
easat-10606	224	7	research	research	NOUN
easat-10606	224	8	in	in	ADP
easat-10606	224	9	the	the	DET
easat-10606	224	10	areas	area	NOUN
easat-10606	224	11	of	of	ADP
easat-10606	224	12	opinion	opinion	NOUN
easat-10606	224	13	mining	mining	NOUN
easat-10606	224	14	and	and	CCONJ
easat-10606	224	15	sentiment	sentiment	NOUN
easat-10606	224	16	analysis	analysis	NOUN
easat-10606	224	17	to	to	PART
easat-10606	224	18	create	create	VERB
easat-10606	224	19	algorithms	algorithm	NOUN
easat-10606	224	20	that	that	PRON
easat-10606	224	21	can	can	AUX
easat-10606	224	22	automatically	automatically	ADV
easat-10606	224	23	analyze	analyze	VERB
easat-10606	224	24	text	text	NOUN
easat-10606	224	25	passages	passage	NOUN
easat-10606	224	26	or	or	CCONJ
easat-10606	224	27	user	user	NOUN
easat-10606	224	28	evaluations	evaluation	NOUN
easat-10606	224	29	and	and	CCONJ
easat-10606	224	30	extract	extract	VERB
easat-10606	224	31	the	the	DET
easat-10606	224	32	data	datum	NOUN
easat-10606	224	33	that	that	PRON
easat-10606	224	34	is	be	AUX
easat-10606	224	35	most	most	ADV
easat-10606	224	36	pertinent	pertinent	ADJ
easat-10606	224	37	to	to	ADP
easat-10606	224	38	the	the	DET
easat-10606	224	39	user	user	NOUN
easat-10606	224	40	.	.	PUNCT
easat-10606	225	1	additionally	additionally	ADV
easat-10606	225	2	,	,	PUNCT
easat-10606	225	3	there	there	PRON
easat-10606	225	4	has	have	AUX
easat-10606	225	5	been	be	AUX
easat-10606	225	6	a	a	DET
easat-10606	225	7	recent	recent	ADJ
easat-10606	225	8	increase	increase	NOUN
easat-10606	225	9	in	in	ADP
easat-10606	225	10	studies	study	NOUN
easat-10606	225	11	in	in	ADP
easat-10606	225	12	the	the	DET
easat-10606	225	13	fields	field	NOUN
easat-10606	225	14	of	of	ADP
easat-10606	225	15	machine	machine	NOUN
easat-10606	225	16	learning	learning	NOUN
easat-10606	225	17	and	and	CCONJ
easat-10606	225	18	nlp	nlp	NOUN
easat-10606	225	19	,	,	PUNCT
easat-10606	225	20	particularly	particularly	ADV
easat-10606	225	21	in	in	ADP
easat-10606	225	22	education	education	NOUN
easat-10606	225	23	.	.	PUNCT
easat-10606	226	1	these	these	DET
easat-10606	226	2	methods	method	NOUN
easat-10606	226	3	can	can	AUX
easat-10606	226	4	be	be	AUX
easat-10606	226	5	used	use	VERB
easat-10606	226	6	to	to	ADP
easat-10606	226	7	mine	mine	VERB
easat-10606	226	8	insights	insight	NOUN
easat-10606	226	9	from	from	ADP
easat-10606	226	10	evaluations	evaluation	NOUN
easat-10606	226	11	.	.	PUNCT
easat-10606	227	1	however	however	ADV
easat-10606	227	2	,	,	PUNCT
easat-10606	227	3	to	to	PART
easat-10606	227	4	guarantee	guarantee	VERB
easat-10606	227	5	consistency	consistency	NOUN
easat-10606	227	6	,	,	PUNCT
easat-10606	227	7	it	it	PRON
easat-10606	227	8	is	be	AUX
easat-10606	227	9	important	important	ADJ
easat-10606	227	10	to	to	PART
easat-10606	227	11	create	create	VERB
easat-10606	227	12	a	a	DET
easat-10606	227	13	roadmap	roadmap	NOUN
easat-10606	227	14	for	for	ADP
easat-10606	227	15	analysis	analysis	NOUN
easat-10606	227	16	that	that	PRON
easat-10606	227	17	can	can	AUX
easat-10606	227	18	be	be	AUX
easat-10606	227	19	credible	credible	ADJ
easat-10606	227	20	,	,	PUNCT
easat-10606	227	21	reliable	reliable	ADJ
easat-10606	227	22	,	,	PUNCT
easat-10606	227	23	and	and	CCONJ
easat-10606	227	24	accurate	accurate	ADJ
easat-10606	227	25	.	.	PUNCT
easat-10606	228	1	there	there	PRON
easat-10606	228	2	has	have	AUX
easat-10606	228	3	recently	recently	ADV
easat-10606	228	4	been	be	AUX
easat-10606	228	5	an	an	DET
easat-10606	228	6	increase	increase	NOUN
easat-10606	228	7	in	in	ADP
easat-10606	228	8	studies	study	NOUN
easat-10606	228	9	in	in	ADP
easat-10606	228	10	the	the	DET
easat-10606	228	11	fields	field	NOUN
easat-10606	228	12	of	of	ADP
easat-10606	228	13	machine	machine	NOUN
easat-10606	228	14	learning	learning	NOUN
easat-10606	228	15	and	and	CCONJ
easat-10606	228	16	nlp	nlp	NOUN
easat-10606	228	17	,	,	PUNCT
easat-10606	228	18	particularly	particularly	ADV
easat-10606	228	19	in	in	ADP
easat-10606	228	20	the	the	DET
easat-10606	228	21	area	area	NOUN
easat-10606	228	22	of	of	ADP
easat-10606	228	23	education	education	NOUN
easat-10606	228	24	.	.	PUNCT
easat-10606	229	1	these	these	DET
easat-10606	229	2	methods	method	NOUN
easat-10606	229	3	can	can	AUX
easat-10606	229	4	be	be	AUX
easat-10606	229	5	used	use	VERB
easat-10606	229	6	to	to	ADP
easat-10606	229	7	mine	mine	VERB
easat-10606	229	8	insights	insight	NOUN
easat-10606	229	9	from	from	ADP
easat-10606	229	10	evaluations	evaluation	NOUN
easat-10606	229	11	.	.	PUNCT
easat-10606	230	1	however	however	ADV
easat-10606	230	2	,	,	PUNCT
easat-10606	230	3	to	to	PART
easat-10606	230	4	guarantee	guarantee	VERB
easat-10606	230	5	consistency	consistency	NOUN
easat-10606	230	6	,	,	PUNCT
easat-10606	230	7	it	it	PRON
easat-10606	230	8	is	be	AUX
easat-10606	230	9	important	important	ADJ
easat-10606	230	10	to	to	PART
easat-10606	230	11	create	create	VERB
easat-10606	230	12	a	a	DET
easat-10606	230	13	roadmap	roadmap	NOUN
easat-10606	230	14	for	for	ADP
easat-10606	230	15	the	the	DET
easat-10606	230	16	analysis	analysis	NOUN
easat-10606	230	17	that	that	PRON
easat-10606	230	18	is	be	AUX
easat-10606	230	19	credible	credible	ADJ
easat-10606	230	20	,	,	PUNCT
easat-10606	230	21	reliable	reliable	ADJ
easat-10606	230	22	,	,	PUNCT
easat-10606	230	23	and	and	CCONJ
easat-10606	230	24	accurate	accurate	ADJ
easat-10606	230	25	.	.	PUNCT
easat-10606	231	1	this	this	DET
easat-10606	231	2	research	research	NOUN
easat-10606	231	3	suggests	suggest	VERB
easat-10606	231	4	a	a	DET
easat-10606	231	5	paradigm	paradigm	NOUN
easat-10606	231	6	for	for	ADP
easat-10606	231	7	examining	examine	VERB
easat-10606	231	8	students	student	NOUN
easat-10606	231	9	'	'	PART
easat-10606	231	10	comments	comment	NOUN
easat-10606	231	11	.	.	PUNCT
easat-10606	232	1	the	the	DET
easat-10606	232	2	framework	framework	NOUN
easat-10606	232	3	utilizes	utilize	VERB
easat-10606	232	4	existing	exist	VERB
easat-10606	232	5	machine	machine	NOUN
easat-10606	232	6	learning	learning	NOUN
easat-10606	232	7	,	,	PUNCT
easat-10606	232	8	deep	deep	ADJ
easat-10606	232	9	learning	learning	NOUN
easat-10606	232	10	,	,	PUNCT
easat-10606	232	11	and	and	CCONJ
easat-10606	232	12	nlp	nlp	NOUN
easat-10606	232	13	methods	method	NOUN
easat-10606	232	14	.	.	PUNCT
easat-10606	233	1	among	among	ADP
easat-10606	233	2	these	these	DET
easat-10606	233	3	approaches	approach	NOUN
easat-10606	233	4	,	,	PUNCT
easat-10606	233	5	ensembles	ensemble	NOUN
easat-10606	233	6	have	have	AUX
easat-10606	233	7	emerged	emerge	VERB
easat-10606	233	8	as	as	ADP
easat-10606	233	9	a	a	DET
easat-10606	233	10	successful	successful	ADJ
easat-10606	233	11	paradigm	paradigm	NOUN
easat-10606	233	12	for	for	ADP
easat-10606	233	13	examining	examine	VERB
easat-10606	233	14	students	student	NOUN
easat-10606	233	15	'	'	PART
easat-10606	233	16	feedback	feedback	NOUN
easat-10606	233	17	[	[	X
easat-10606	233	18	43	43	NUM
easat-10606	233	19	]	]	PUNCT
easat-10606	233	20	.	.	PUNCT
easat-10606	234	1	however	however	ADV
easat-10606	234	2	,	,	PUNCT
easat-10606	234	3	based	base	VERB
easat-10606	234	4	on	on	ADP
easat-10606	234	5	earlier	early	ADJ
easat-10606	234	6	research	research	NOUN
easat-10606	234	7	,	,	PUNCT
easat-10606	234	8	it	it	PRON
easat-10606	234	9	is	be	AUX
easat-10606	234	10	understandable	understandable	ADJ
easat-10606	234	11	that	that	SCONJ
easat-10606	234	12	there	there	PRON
easat-10606	234	13	have	have	AUX
easat-10606	234	14	been	be	AUX
easat-10606	234	15	only	only	ADV
easat-10606	234	16	a	a	DET
easat-10606	234	17	few	few	ADJ
easat-10606	234	18	attempts	attempt	NOUN
easat-10606	234	19	to	to	PART
easat-10606	234	20	use	use	VERB
easat-10606	234	21	ensembles	ensemble	NOUN
easat-10606	234	22	in	in	ADP
easat-10606	234	23	academic	academic	ADJ
easat-10606	234	24	settings	setting	NOUN
easat-10606	234	25	.	.	PUNCT
easat-10606	235	1	sentiment	sentiment	NOUN
easat-10606	235	2	analysis	analysis	NOUN
easat-10606	235	3	presents	present	VERB
easat-10606	235	4	the	the	DET
easat-10606	235	5	ability	ability	NOUN
easat-10606	235	6	to	to	PART
easat-10606	235	7	extract	extract	VERB
easat-10606	235	8	student	student	NOUN
easat-10606	235	9	opinions	opinion	NOUN
easat-10606	235	10	with	with	ADP
easat-10606	235	11	their	their	PRON
easat-10606	235	12	sentiment	sentiment	NOUN
easat-10606	235	13	orientation	orientation	NOUN
easat-10606	235	14	at	at	ADP
easat-10606	235	15	the	the	DET
easat-10606	235	16	document	document	NOUN
easat-10606	235	17	level	level	NOUN
easat-10606	235	18	,	,	PUNCT
easat-10606	235	19	phrase	phrase	NOUN
easat-10606	235	20	level	level	NOUN
easat-10606	235	21	,	,	PUNCT
easat-10606	235	22	entity	entity	NOUN
easat-10606	235	23	level	level	NOUN
easat-10606	235	24	,	,	PUNCT
easat-10606	235	25	and	and	CCONJ
easat-10606	235	26	aspect	aspect	NOUN
easat-10606	235	27	level	level	NOUN
easat-10606	235	28	[	[	X
easat-10606	235	29	48	48	NUM
easat-10606	235	30	,	,	PUNCT
easat-10606	235	31	49	49	NUM
easat-10606	235	32	]	]	PUNCT
easat-10606	235	33	.	.	PUNCT
easat-10606	236	1	however	however	ADV
easat-10606	236	2	,	,	PUNCT
easat-10606	236	3	pathak	pathak	PROPN
easat-10606	236	4	and	and	CCONJ
easat-10606	236	5	warpade	warpade	NOUN
easat-10606	237	1	[	[	X
easat-10606	237	2	50	50	NUM
easat-10606	237	3	]	]	PUNCT
easat-10606	237	4	asserted	assert	VERB
easat-10606	237	5	that	that	SCONJ
easat-10606	237	6	opinions	opinion	NOUN
easat-10606	237	7	can	can	AUX
easat-10606	237	8	be	be	AUX
easat-10606	237	9	categorized	categorize	VERB
easat-10606	237	10	into	into	ADP
easat-10606	237	11	positive	positive	ADJ
easat-10606	237	12	,	,	PUNCT
easat-10606	237	13	negative	negative	ADJ
easat-10606	237	14	,	,	PUNCT
easat-10606	237	15	or	or	CCONJ
easat-10606	237	16	neutral	neutral	ADJ
easat-10606	237	17	opinions	opinion	NOUN
easat-10606	237	18	.	.	PUNCT
easat-10606	238	1	sentiment	sentiment	NOUN
easat-10606	238	2	analysis	analysis	NOUN
easat-10606	238	3	is	be	AUX
easat-10606	238	4	performed	perform	VERB
easat-10606	238	5	for	for	ADP
easat-10606	238	6	the	the	DET
easat-10606	238	7	entire	entire	ADJ
easat-10606	238	8	text	text	NOUN
easat-10606	238	9	document	document	NOUN
easat-10606	238	10	at	at	ADP
easat-10606	238	11	the	the	DET
easat-10606	238	12	document	document	NOUN
easat-10606	238	13	level	level	NOUN
easat-10606	238	14	.	.	PUNCT
easat-10606	239	1	in	in	ADP
easat-10606	239	2	addition	addition	NOUN
easat-10606	239	3	,	,	PUNCT
easat-10606	239	4	sentiment	sentiment	NOUN
easat-10606	239	5	analysis	analysis	NOUN
easat-10606	239	6	at	at	ADP
easat-10606	239	7	the	the	DET
easat-10606	239	8	document	document	NOUN
easat-10606	239	9	level	level	NOUN
easat-10606	239	10	is	be	AUX
easat-10606	239	11	generic	generic	ADJ
easat-10606	239	12	in	in	SCONJ
easat-10606	239	13	that	that	SCONJ
easat-10606	239	14	it	it	PRON
easat-10606	239	15	does	do	AUX
easat-10606	239	16	not	not	PART
easat-10606	239	17	provide	provide	VERB
easat-10606	239	18	the	the	DET
easat-10606	239	19	polarity	polarity	NOUN
easat-10606	239	20	score	score	NOUN
easat-10606	239	21	for	for	ADP
easat-10606	239	22	individual	individual	ADJ
easat-10606	239	23	reviews	review	NOUN
easat-10606	239	24	and	and	CCONJ
easat-10606	239	25	evaluations	evaluation	NOUN
easat-10606	239	26	contained	contain	VERB
easat-10606	239	27	in	in	ADP
easat-10606	239	28	the	the	DET
easat-10606	239	29	text	text	NOUN
easat-10606	239	30	document	document	NOUN
easat-10606	239	31	.	.	PUNCT
easat-10606	240	1	hence	hence	ADV
easat-10606	240	2	,	,	PUNCT
easat-10606	240	3	it	it	PRON
easat-10606	240	4	is	be	AUX
easat-10606	240	5	a	a	DET
easat-10606	240	6	shallow	shallow	ADJ
easat-10606	240	7	analysis	analysis	NOUN
easat-10606	240	8	that	that	PRON
easat-10606	240	9	just	just	ADV
easat-10606	240	10	provides	provide	VERB
easat-10606	240	11	an	an	DET
easat-10606	240	12	overview	overview	NOUN
easat-10606	240	13	.	.	PUNCT
easat-10606	241	1	moreover	moreover	ADV
easat-10606	241	2	,	,	PUNCT
easat-10606	241	3	sentiment	sentiment	NOUN
easat-10606	241	4	analysis	analysis	NOUN
easat-10606	241	5	at	at	ADP
easat-10606	241	6	the	the	DET
easat-10606	241	7	sentence	sentence	NOUN
easat-10606	241	8	level	level	NOUN
easat-10606	241	9	is	be	AUX
easat-10606	241	10	more	more	ADJ
easat-10606	241	11	in	in	ADP
easat-10606	241	12	-	-	PUNCT
easat-10606	241	13	depth	depth	NOUN
easat-10606	241	14	compared	compare	VERB
easat-10606	241	15	to	to	ADP
easat-10606	241	16	the	the	DET
easat-10606	241	17	sentiment	sentiment	NOUN
easat-10606	241	18	analysis	analysis	NOUN
easat-10606	241	19	conducted	conduct	VERB
easat-10606	241	20	at	at	ADP
easat-10606	241	21	the	the	DET
easat-10606	241	22	document	document	NOUN
easat-10606	241	23	level	level	NOUN
easat-10606	241	24	.	.	PUNCT
easat-10606	242	1	this	this	PRON
easat-10606	242	2	is	be	AUX
easat-10606	242	3	because	because	SCONJ
easat-10606	242	4	sentiment	sentiment	NOUN
easat-10606	242	5	polarity	polarity	NOUN
easat-10606	242	6	scores	score	NOUN
easat-10606	242	7	for	for	ADP
easat-10606	242	8	each	each	DET
easat-10606	242	9	sentence	sentence	NOUN
easat-10606	242	10	in	in	ADP
easat-10606	242	11	the	the	DET
easat-10606	242	12	document	document	NOUN
easat-10606	242	13	are	be	AUX
easat-10606	242	14	computed	compute	VERB
easat-10606	242	15	in	in	ADP
easat-10606	242	16	the	the	DET
easat-10606	242	17	text	text	NOUN
easat-10606	242	18	.	.	PUNCT
easat-10606	243	1	in	in	ADP
easat-10606	243	2	addition	addition	NOUN
easat-10606	243	3	,	,	PUNCT
easat-10606	243	4	entity	entity	NOUN
easat-10606	243	5	-	-	PUNCT
easat-10606	243	6	level	level	NOUN
easat-10606	243	7	sentiment	sentiment	NOUN
easat-10606	243	8	extraction	extraction	NOUN
easat-10606	243	9	combines	combine	VERB
easat-10606	243	10	entity	entity	NOUN
easat-10606	243	11	and	and	CCONJ
easat-10606	243	12	sentiment	sentiment	NOUN
easat-10606	243	13	analysis	analysis	NOUN
easat-10606	243	14	.	.	PUNCT
easat-10606	244	1	aspect	aspect	NOUN
easat-10606	244	2	-	-	PUNCT
easat-10606	244	3	based	base	VERB
easat-10606	244	4	sentiment	sentiment	NOUN
easat-10606	244	5	analysis	analysis	NOUN
easat-10606	244	6	examines	examine	VERB
easat-10606	244	7	various	various	ADJ
easat-10606	244	8	data	datum	NOUN
easat-10606	244	9	categories	category	NOUN
easat-10606	244	10	in	in	ADP
easat-10606	244	11	a	a	DET
easat-10606	244	12	comment	comment	NOUN
easat-10606	244	13	at	at	ADP
easat-10606	244	14	a	a	DET
easat-10606	244	15	finer	fine	ADJ
easat-10606	244	16	level	level	NOUN
easat-10606	244	17	and	and	CCONJ
easat-10606	244	18	determines	determine	VERB
easat-10606	244	19	the	the	DET
easat-10606	244	20	sentiment	sentiment	NOUN
easat-10606	244	21	orientation	orientation	NOUN
easat-10606	244	22	of	of	ADP
easat-10606	244	23	each	each	DET
easat-10606	244	24	data	datum	NOUN
easat-10606	244	25	category	category	NOUN
easat-10606	244	26	[	[	X
easat-10606	244	27	51	51	NUM
easat-10606	244	28	]	]	PUNCT
easat-10606	244	29	.	.	PUNCT
easat-10606	245	1	however	however	ADV
easat-10606	245	2	,	,	PUNCT
easat-10606	245	3	aspect	aspect	NOUN
easat-10606	245	4	-	-	PUNCT
easat-10606	245	5	based	base	VERB
easat-10606	245	6	sentiment	sentiment	NOUN
easat-10606	245	7	analysis	analysis	NOUN
easat-10606	245	8	(	(	PUNCT
easat-10606	245	9	absa	absa	X
easat-10606	245	10	)	)	PUNCT
easat-10606	245	11	is	be	AUX
easat-10606	245	12	a	a	DET
easat-10606	245	13	subfield	subfield	NOUN
easat-10606	245	14	of	of	ADP
easat-10606	245	15	nlp	nlp	NOUN
easat-10606	245	16	that	that	PRON
easat-10606	245	17	focuses	focus	VERB
easat-10606	245	18	specifically	specifically	ADV
easat-10606	245	19	on	on	ADP
easat-10606	245	20	sentiment	sentiment	NOUN
easat-10606	245	21	targets	target	NOUN
easat-10606	245	22	known	know	VERB
easat-10606	245	23	as	as	ADP
easat-10606	245	24	aspects	aspect	NOUN
easat-10606	245	25	within	within	ADP
easat-10606	245	26	a	a	DET
easat-10606	245	27	sentence	sentence	NOUN
easat-10606	245	28	[	[	X
easat-10606	245	29	52	52	NUM
easat-10606	245	30	]	]	PUNCT
easat-10606	245	31	.	.	PUNCT
easat-10606	246	1	it	it	PRON
easat-10606	246	2	is	be	AUX
easat-10606	246	3	more	more	ADV
easat-10606	246	4	granular	granular	ADJ
easat-10606	246	5	than	than	ADP
easat-10606	246	6	documentand	documentand	NOUN
easat-10606	246	7	sentence	sentence	NOUN
easat-10606	246	8	-	-	PUNCT
easat-10606	246	9	level	level	NOUN
easat-10606	246	10	sentiment	sentiment	NOUN
easat-10606	246	11	analysis	analysis	NOUN
easat-10606	246	12	and	and	CCONJ
easat-10606	246	13	,	,	PUNCT
easat-10606	246	14	therefore	therefore	ADV
easat-10606	246	15	,	,	PUNCT
easat-10606	246	16	more	more	ADV
easat-10606	246	17	complex	complex	ADJ
easat-10606	246	18	to	to	PART
easat-10606	246	19	implement	implement	VERB
easat-10606	246	20	[	[	X
easat-10606	246	21	2	2	NUM
easat-10606	246	22	]	]	PUNCT
easat-10606	246	23	.	.	PUNCT
easat-10606	247	1	dolianiti	dolianiti	VERB
easat-10606	247	2	et	et	PROPN
easat-10606	247	3	al	al	PROPN
easat-10606	247	4	.	.	PUNCT
easat-10606	248	1	[	[	X
easat-10606	248	2	53	53	NUM
easat-10606	248	3	]	]	PUNCT
easat-10606	248	4	evaluated	evaluate	VERB
easat-10606	248	5	the	the	DET
easat-10606	248	6	effectiveness	effectiveness	NOUN
easat-10606	248	7	of	of	ADP
easat-10606	248	8	five	five	NUM
easat-10606	248	9	commercial	commercial	ADJ
easat-10606	248	10	sentiment	sentiment	NOUN
easat-10606	248	11	analysis	analysis	NOUN
easat-10606	248	12	technologies	technology	NOUN
easat-10606	248	13	at	at	ADP
easat-10606	248	14	the	the	DET
easat-10606	248	15	document	document	NOUN
easat-10606	248	16	and	and	CCONJ
easat-10606	248	17	sentence	sentence	NOUN
easat-10606	248	18	levels	level	NOUN
easat-10606	248	19	:	:	PUNCT
easat-10606	248	20	ibm	ibm	PROPN
easat-10606	248	21	watson	watson	PROPN
easat-10606	248	22	natural	natural	ADJ
easat-10606	248	23	language	language	NOUN
easat-10606	248	24	understanding	understanding	NOUN
easat-10606	248	25	,	,	PUNCT
easat-10606	248	26	microsoft	microsoft	PROPN
easat-10606	248	27	azure	azure	NOUN
easat-10606	248	28	text	text	NOUN
easat-10606	248	29	analytics	analytic	NOUN
easat-10606	248	30	api	api	NOUN
easat-10606	248	31	,	,	PUNCT
easat-10606	248	32	opinion	opinion	NOUN
easat-10606	248	33	finder	finder	NOUN
easat-10606	248	34	2.0	2.0	NUM
easat-10606	248	35	,	,	PUNCT
easat-10606	248	36	repustate	repustate	NOUN
easat-10606	248	37	,	,	PUNCT
easat-10606	248	38	and	and	CCONJ
easat-10606	248	39	sentistrength	sentistrength	NOUN
easat-10606	248	40	.	.	PUNCT
easat-10606	249	1	in	in	ADP
easat-10606	249	2	the	the	DET
easat-10606	249	3	study	study	NOUN
easat-10606	249	4	,	,	PUNCT
easat-10606	249	5	the	the	DET
easat-10606	249	6	authors	author	NOUN
easat-10606	249	7	used	use	VERB
easat-10606	249	8	two	two	NUM
easat-10606	249	9	educational	educational	ADJ
easat-10606	249	10	datasets	dataset	NOUN
easat-10606	249	11	from	from	ADP
easat-10606	249	12	the	the	DET
easat-10606	249	13	learning	learning	NOUN
easat-10606	249	14	management	management	NOUN
easat-10606	249	15	system	system	NOUN
easat-10606	249	16	(	(	PUNCT
easat-10606	249	17	lms	lms	PROPN
easat-10606	249	18	)	)	PUNCT
easat-10606	249	19	containing	contain	VERB
easat-10606	249	20	student	student	NOUN
easat-10606	249	21	forum	forum	NOUN
easat-10606	249	22	posts	post	NOUN
easat-10606	249	23	from	from	ADP
easat-10606	249	24	two	two	NUM
easat-10606	249	25	courses	course	NOUN
easat-10606	249	26	over	over	ADP
easat-10606	249	27	a	a	DET
easat-10606	249	28	semester	semester	NOUN
easat-10606	249	29	.	.	PUNCT
easat-10606	250	1	additionally	additionally	ADV
easat-10606	250	2	,	,	PUNCT
easat-10606	250	3	two	two	NUM
easat-10606	250	4	alternative	alternative	ADJ
easat-10606	250	5	versions	version	NOUN
easat-10606	250	6	of	of	ADP
easat-10606	250	7	the	the	DET
easat-10606	250	8	dataset	dataset	NOUN
easat-10606	250	9	's	's	PART
easat-10606	250	10	forum	forum	NOUN
easat-10606	250	11	posts	post	NOUN
easat-10606	250	12	'	'	PART
easat-10606	250	13	sentiment	sentiment	NOUN
easat-10606	250	14	orientation	orientation	NOUN
easat-10606	250	15	were	be	AUX
easat-10606	250	16	manually	manually	ADV
easat-10606	250	17	annotated	annotate	VERB
easat-10606	250	18	at	at	ADP
easat-10606	250	19	the	the	DET
easat-10606	250	20	document	document	NOUN
easat-10606	250	21	and	and	CCONJ
easat-10606	250	22	sentence	sentence	NOUN
easat-10606	250	23	levels	level	NOUN
easat-10606	250	24	.	.	PUNCT
easat-10606	251	1	consequently	consequently	ADV
easat-10606	251	2	,	,	PUNCT
easat-10606	251	3	svm	svm	PROPN
easat-10606	251	4	and	and	CCONJ
easat-10606	251	5	k	k	ADJ
easat-10606	251	6	-	-	ADJ
easat-10606	251	7	fold	fold	ADJ
easat-10606	251	8	cross	cross	NOUN
easat-10606	251	9	-	-	NOUN
easat-10606	251	10	validation	validation	ADJ
easat-10606	251	11	(	(	PUNCT
easat-10606	251	12	cv	cv	NOUN
easat-10606	251	13	)	)	PUNCT
easat-10606	251	14	methods	method	NOUN
easat-10606	251	15	were	be	AUX
easat-10606	251	16	used	use	VERB
easat-10606	251	17	to	to	PART
easat-10606	251	18	construct	construct	VERB
easat-10606	251	19	four	four	NUM
easat-10606	251	20	education	education	NOUN
easat-10606	251	21	domain	domain	NOUN
easat-10606	251	22	tools	tool	NOUN
easat-10606	251	23	,	,	PUNCT
easat-10606	251	24	two	two	NUM
easat-10606	251	25	for	for	ADP
easat-10606	251	26	each	each	DET
easat-10606	251	27	course	course	NOUN
easat-10606	251	28	.	.	PUNCT
easat-10606	252	1	according	accord	VERB
easat-10606	252	2	to	to	ADP
easat-10606	252	3	the	the	DET
easat-10606	252	4	study	study	NOUN
easat-10606	252	5	,	,	PUNCT
easat-10606	252	6	in	in	ADP
easat-10606	252	7	one	one	NUM
easat-10606	252	8	of	of	ADP
easat-10606	252	9	the	the	DET
easat-10606	252	10	courses	course	NOUN
easat-10606	252	11	,	,	PUNCT
easat-10606	252	12	educational	educational	ADJ
easat-10606	252	13	domain	domain	NOUN
easat-10606	252	14	tools	tool	NOUN
easat-10606	252	15	outperformed	outperform	VERB
easat-10606	252	16	commercial	commercial	ADJ
easat-10606	252	17	tools	tool	NOUN
easat-10606	252	18	in	in	ADP
easat-10606	252	19	terms	term	NOUN
easat-10606	252	20	of	of	ADP
easat-10606	252	21	document	document	NOUN
easat-10606	252	22	and	and	CCONJ
easat-10606	252	23	sentence	sentence	NOUN
easat-10606	252	24	quality	quality	NOUN
easat-10606	252	25	.	.	PUNCT
easat-10606	253	1	several	several	ADJ
easat-10606	253	2	studies	study	NOUN
easat-10606	253	3	have	have	AUX
easat-10606	253	4	focused	focus	VERB
easat-10606	253	5	on	on	ADP
easat-10606	253	6	predicting	predict	VERB
easat-10606	253	7	student	student	NOUN
easat-10606	253	8	performance	performance	NOUN
easat-10606	253	9	while	while	SCONJ
easat-10606	253	10	considering	consider	VERB
easat-10606	253	11	various	various	ADJ
easat-10606	253	12	variables	variable	NOUN
easat-10606	253	13	such	such	ADJ
easat-10606	253	14	as	as	ADP
easat-10606	253	15	income	income	NOUN
easat-10606	253	16	,	,	PUNCT
easat-10606	253	17	family	family	NOUN
easat-10606	253	18	history	history	NOUN
easat-10606	253	19	,	,	PUNCT
easat-10606	253	20	demographics	demographic	NOUN
easat-10606	253	21	,	,	PUNCT
easat-10606	253	22	grades	grade	NOUN
easat-10606	253	23	,	,	PUNCT
easat-10606	253	24	and	and	CCONJ
easat-10606	253	25	courses	course	NOUN
easat-10606	253	26	.	.	PUNCT
easat-10606	254	1	additionally	additionally	ADV
easat-10606	254	2	,	,	PUNCT
easat-10606	254	3	numerous	numerous	ADJ
easat-10606	254	4	research	research	NOUN
easat-10606	254	5	projects	project	NOUN
easat-10606	254	6	have	have	AUX
easat-10606	254	7	been	be	AUX
easat-10606	254	8	approved	approve	VERB
easat-10606	254	9	in	in	ADP
easat-10606	254	10	this	this	DET
easat-10606	254	11	field	field	NOUN
easat-10606	254	12	to	to	PART
easat-10606	254	13	identify	identify	VERB
easat-10606	254	14	the	the	DET
easat-10606	254	15	variables	variable	NOUN
easat-10606	254	16	necessary	necessary	ADJ
easat-10606	254	17	for	for	ADP
easat-10606	254	18	modifying	modify	VERB
easat-10606	254	19	students	student	NOUN
easat-10606	254	20	'	'	PART
easat-10606	254	21	teaching	teaching	NOUN
easat-10606	254	22	and	and	CCONJ
easat-10606	254	23	learning	learning	NOUN
easat-10606	254	24	behaviors	behavior	NOUN
easat-10606	254	25	.	.	PUNCT
easat-10606	255	1	the	the	DET
easat-10606	255	2	goal	goal	NOUN
easat-10606	255	3	of	of	ADP
easat-10606	255	4	the	the	DET
easat-10606	255	5	research	research	NOUN
easat-10606	255	6	study	study	NOUN
easat-10606	255	7	undertaken	undertake	VERB
easat-10606	255	8	was	be	AUX
easat-10606	255	9	to	to	PART
easat-10606	255	10	identify	identify	VERB
easat-10606	255	11	,	,	PUNCT
easat-10606	255	12	detect	detect	NOUN
easat-10606	255	13	,	,	PUNCT
easat-10606	255	14	and	and	CCONJ
easat-10606	255	15	estimate	estimate	VERB
easat-10606	255	16	variables	variable	NOUN
easat-10606	255	17	to	to	PART
easat-10606	255	18	understand	understand	VERB
easat-10606	255	19	students	student	NOUN
easat-10606	255	20	'	'	PART
easat-10606	255	21	learning	learning	NOUN
easat-10606	255	22	behaviors	behavior	NOUN
easat-10606	255	23	by	by	ADP
easat-10606	255	24	kastrati	kastrati	PROPN
easat-10606	255	25	et	et	PROPN
easat-10606	255	26	al	al	PROPN
easat-10606	255	27	.	.	PUNCT
easat-10606	256	1	[	[	X
easat-10606	256	2	22	22	NUM
easat-10606	256	3	]	]	PUNCT
easat-10606	256	4	.	.	PUNCT
easat-10606	257	1	previous	previous	ADJ
easat-10606	257	2	studies	study	NOUN
easat-10606	257	3	on	on	ADP
easat-10606	257	4	opinion	opinion	NOUN
easat-10606	257	5	mining	mining	NOUN
easat-10606	257	6	have	have	AUX
easat-10606	257	7	generally	generally	ADV
easat-10606	257	8	investigated	investigate	VERB
easat-10606	257	9	an	an	DET
easat-10606	257	10	individual	individual	NOUN
easat-10606	257	11	ml	ml	X
easat-10606	257	12	method	method	NOUN
easat-10606	257	13	with	with	ADP
easat-10606	257	14	a	a	DET
easat-10606	257	15	single	single	ADJ
easat-10606	257	16	structure	structure	NOUN
easat-10606	257	17	,	,	PUNCT
easat-10606	257	18	demonstrating	demonstrate	VERB
easat-10606	257	19	their	their	PRON
easat-10606	257	20	respective	respective	ADJ
easat-10606	257	21	superiority	superiority	NOUN
easat-10606	257	22	.	.	PUNCT
easat-10606	258	1	considering	consider	VERB
easat-10606	258	2	that	that	SCONJ
easat-10606	258	3	feedback	feedback	NOUN
easat-10606	258	4	is	be	AUX
easat-10606	258	5	affected	affect	VERB
easat-10606	258	6	by	by	ADP
easat-10606	258	7	different	different	ADJ
easat-10606	258	8	factors	factor	NOUN
easat-10606	258	9	,	,	PUNCT
easat-10606	258	10	as	as	ADV
easat-10606	258	11	well	well	ADV
easat-10606	258	12	as	as	ADP
easat-10606	258	13	that	that	SCONJ
easat-10606	258	14	it	it	PRON
easat-10606	258	15	shows	show	VERB
easat-10606	258	16	different	different	ADJ
easat-10606	258	17	statistical	statistical	ADJ
easat-10606	258	18	characteristics	characteristic	NOUN
easat-10606	258	19	,	,	PUNCT
easat-10606	258	20	the	the	DET
easat-10606	258	21	individual	individual	ADJ
easat-10606	258	22	ml	ml	X
easat-10606	258	23	model	model	NOUN
easat-10606	258	24	with	with	ADP
easat-10606	258	25	a	a	DET
easat-10606	258	26	specific	specific	ADJ
easat-10606	258	27	structure	structure	NOUN
easat-10606	258	28	possesses	possess	VERB
easat-10606	258	29	limited	limit	VERB
easat-10606	258	30	ability	ability	NOUN
easat-10606	258	31	to	to	PART
easat-10606	258	32	present	present	VERB
easat-10606	258	33	the	the	DET
easat-10606	258	34	complex	complex	ADJ
easat-10606	258	35	relationship	relationship	NOUN
easat-10606	258	36	between	between	ADP
easat-10606	258	37	student	student	NOUN
easat-10606	258	38	feedback	feedback	NOUN
easat-10606	258	39	and	and	CCONJ
easat-10606	258	40	diverse	diverse	ADJ
easat-10606	258	41	predictors	predictor	NOUN
easat-10606	258	42	in	in	ADP
easat-10606	258	43	varying	vary	VERB
easat-10606	258	44	situations	situation	NOUN
easat-10606	258	45	and	and	CCONJ
easat-10606	258	46	circumstances	circumstance	NOUN
easat-10606	258	47	.	.	PUNCT
easat-10606	259	1	in	in	ADP
easat-10606	259	2	recent	recent	ADJ
easat-10606	259	3	years	year	NOUN
easat-10606	259	4	,	,	PUNCT
easat-10606	259	5	ensemble	ensemble	ADJ
easat-10606	259	6	1158	1158	NUM
easat-10606	259	7	edelweiss	edelweiss	PROPN
easat-10606	259	8	applied	apply	VERB
easat-10606	259	9	science	science	NOUN
easat-10606	259	10	and	and	CCONJ
easat-10606	259	11	technology	technology	NOUN
easat-10606	259	12	issn	issn	PROPN
easat-10606	259	13	:	:	PUNCT
easat-10606	259	14	2576	2576	NUM
easat-10606	259	15	-	-	SYM
easat-10606	259	16	8484	8484	NUM
easat-10606	259	17	vol	vol	NOUN
easat-10606	259	18	.	.	PROPN
easat-10606	260	1	9	9	NUM
easat-10606	260	2	,	,	PUNCT
easat-10606	260	3	no	no	INTJ
easat-10606	260	4	.	.	NOUN
easat-10606	260	5	10	10	NUM
easat-10606	260	6	:	:	SYM
easat-10606	260	7	1149	1149	NUM
easat-10606	260	8	-	-	SYM
easat-10606	260	9	1180	1180	NUM
easat-10606	260	10	,	,	PUNCT
easat-10606	260	11	2025	2025	NUM
easat-10606	260	12	doi	doi	NOUN
easat-10606	260	13	:	:	PUNCT
easat-10606	260	14	10.55214/2576	10.55214/2576	NUM
easat-10606	260	15	-	-	SYM
easat-10606	260	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	260	17	©	©	ADP
easat-10606	260	18	2025	2025	NUM
easat-10606	260	19	by	by	ADP
easat-10606	260	20	the	the	DET
easat-10606	260	21	authors	author	NOUN
easat-10606	260	22	;	;	PUNCT
easat-10606	260	23	licensee	licensee	PROPN
easat-10606	260	24	learning	learn	VERB
easat-10606	260	25	gate	gate	NOUN
easat-10606	260	26	learning	learning	NOUN
easat-10606	260	27	methods	method	NOUN
easat-10606	260	28	,	,	PUNCT
easat-10606	260	29	which	which	PRON
easat-10606	260	30	can	can	AUX
easat-10606	260	31	combine	combine	VERB
easat-10606	260	32	multiple	multiple	ADJ
easat-10606	260	33	ml	ml	NOUN
easat-10606	260	34	models	model	NOUN
easat-10606	260	35	,	,	PUNCT
easat-10606	260	36	have	have	AUX
easat-10606	260	37	shown	show	VERB
easat-10606	260	38	their	their	PRON
easat-10606	260	39	advantages	advantage	NOUN
easat-10606	260	40	.	.	PUNCT
easat-10606	261	1	the	the	DET
easat-10606	261	2	stacking	stack	VERB
easat-10606	261	3	ensemble	ensemble	ADJ
easat-10606	261	4	model	model	NOUN
easat-10606	261	5	is	be	AUX
easat-10606	261	6	a	a	DET
easat-10606	261	7	popular	popular	ADJ
easat-10606	261	8	one	one	NOUN
easat-10606	261	9	among	among	ADP
easat-10606	261	10	them	they	PRON
easat-10606	261	11	[	[	X
easat-10606	261	12	54	54	NUM
easat-10606	261	13	]	]	PUNCT
easat-10606	261	14	.	.	PUNCT
easat-10606	262	1	stacking	stack	VERB
easat-10606	262	2	is	be	AUX
easat-10606	262	3	a	a	DET
easat-10606	262	4	specific	specific	ADJ
easat-10606	262	5	type	type	NOUN
easat-10606	262	6	of	of	ADP
easat-10606	262	7	ensemble	ensemble	ADJ
easat-10606	262	8	learning	learning	NOUN
easat-10606	262	9	that	that	PRON
easat-10606	262	10	can	can	AUX
easat-10606	262	11	take	take	VERB
easat-10606	262	12	advantage	advantage	NOUN
easat-10606	262	13	of	of	ADP
easat-10606	262	14	different	different	ADJ
easat-10606	262	15	base	base	NOUN
easat-10606	262	16	model	model	NOUN
easat-10606	262	17	structures	structure	NOUN
easat-10606	262	18	to	to	PART
easat-10606	262	19	generate	generate	VERB
easat-10606	262	20	theoretically	theoretically	ADV
easat-10606	262	21	more	more	ADV
easat-10606	262	22	promising	promising	ADJ
easat-10606	262	23	predictions	prediction	NOUN
easat-10606	262	24	[	[	X
easat-10606	262	25	55	55	NUM
easat-10606	262	26	]	]	PUNCT
easat-10606	262	27	.	.	PUNCT
easat-10606	263	1	however	however	ADV
easat-10606	263	2	,	,	PUNCT
easat-10606	263	3	hutto	hutto	PROPN
easat-10606	263	4	and	and	CCONJ
easat-10606	263	5	gilbert	gilbert	PROPN
easat-10606	263	6	[	[	X
easat-10606	263	7	56	56	NUM
easat-10606	263	8	]	]	PUNCT
easat-10606	263	9	show	show	VERB
easat-10606	263	10	that	that	SCONJ
easat-10606	263	11	the	the	DET
easat-10606	263	12	majority	majority	NOUN
easat-10606	263	13	of	of	ADP
easat-10606	263	14	machine	machine	NOUN
easat-10606	263	15	learning	learn	VERB
easat-10606	263	16	algorithms	algorithm	NOUN
easat-10606	263	17	have	have	VERB
easat-10606	263	18	limitations	limitation	NOUN
easat-10606	263	19	.	.	PUNCT
easat-10606	264	1	to	to	PART
easat-10606	264	2	begin	begin	VERB
easat-10606	264	3	with	with	ADP
easat-10606	264	4	,	,	PUNCT
easat-10606	264	5	these	these	DET
easat-10606	264	6	methods	method	NOUN
easat-10606	264	7	frequently	frequently	ADV
easat-10606	264	8	need	need	VERB
easat-10606	264	9	large	large	ADJ
easat-10606	264	10	training	training	NOUN
easat-10606	264	11	datasets	dataset	NOUN
easat-10606	264	12	to	to	PART
easat-10606	264	13	represent	represent	VERB
easat-10606	264	14	different	different	ADJ
easat-10606	264	15	aspects	aspect	NOUN
easat-10606	264	16	.	.	PUNCT
easat-10606	265	1	as	as	ADP
easat-10606	265	2	a	a	DET
easat-10606	265	3	result	result	NOUN
easat-10606	265	4	of	of	ADP
easat-10606	265	5	their	their	PRON
easat-10606	265	6	extensive	extensive	ADJ
easat-10606	265	7	memory	memory	NOUN
easat-10606	265	8	requirements	requirement	NOUN
easat-10606	265	9	and	and	CCONJ
easat-10606	265	10	lengthy	lengthy	ADJ
easat-10606	265	11	processing	processing	NOUN
easat-10606	265	12	times	time	NOUN
easat-10606	265	13	,	,	PUNCT
easat-10606	265	14	the	the	DET
easat-10606	265	15	approaches	approach	NOUN
easat-10606	265	16	are	be	AUX
easat-10606	265	17	frequently	frequently	ADV
easat-10606	265	18	computationally	computationally	ADV
easat-10606	265	19	expensive	expensive	ADJ
easat-10606	265	20	.	.	PUNCT
easat-10606	266	1	third	third	ADJ
easat-10606	266	2	,	,	PUNCT
easat-10606	266	3	it	it	PRON
easat-10606	266	4	is	be	AUX
easat-10606	266	5	more	more	ADV
easat-10606	266	6	difficult	difficult	ADJ
easat-10606	266	7	to	to	PART
easat-10606	266	8	modify	modify	VERB
easat-10606	266	9	,	,	PUNCT
easat-10606	266	10	expand	expand	VERB
easat-10606	266	11	,	,	PUNCT
easat-10606	266	12	or	or	CCONJ
easat-10606	266	13	generalize	generalize	VERB
easat-10606	266	14	the	the	DET
easat-10606	266	15	features	feature	NOUN
easat-10606	266	16	that	that	PRON
easat-10606	266	17	were	be	AUX
easat-10606	266	18	retrieved	retrieve	VERB
easat-10606	266	19	from	from	ADP
easat-10606	266	20	the	the	DET
easat-10606	266	21	text	text	NOUN
easat-10606	266	22	since	since	SCONJ
easat-10606	266	23	they	they	PRON
easat-10606	266	24	are	be	AUX
easat-10606	266	25	difficult	difficult	ADJ
easat-10606	266	26	to	to	PART
easat-10606	266	27	interpret	interpret	VERB
easat-10606	266	28	.	.	PUNCT
easat-10606	267	1	2.2	2.2	NUM
easat-10606	267	2	.	.	PUNCT
easat-10606	267	3	related	relate	VERB
easat-10606	267	4	work	work	NOUN
easat-10606	267	5	a	a	DET
easat-10606	267	6	considerable	considerable	ADJ
easat-10606	267	7	amount	amount	NOUN
easat-10606	267	8	of	of	ADP
easat-10606	267	9	literature	literature	NOUN
easat-10606	267	10	has	have	AUX
easat-10606	267	11	been	be	AUX
easat-10606	267	12	published	publish	VERB
easat-10606	267	13	on	on	ADP
easat-10606	267	14	the	the	DET
easat-10606	267	15	use	use	NOUN
easat-10606	267	16	of	of	ADP
easat-10606	267	17	machine	machine	NOUN
easat-10606	267	18	learning	learn	VERB
easat-10606	267	19	techniques	technique	NOUN
easat-10606	267	20	,	,	PUNCT
easat-10606	267	21	particularly	particularly	ADV
easat-10606	267	22	for	for	ADP
easat-10606	267	23	predicting	predict	VERB
easat-10606	267	24	student	student	NOUN
easat-10606	267	25	opinions	opinion	NOUN
easat-10606	267	26	from	from	ADP
easat-10606	267	27	their	their	PRON
easat-10606	267	28	feedback	feedback	NOUN
easat-10606	267	29	in	in	ADP
easat-10606	267	30	the	the	DET
easat-10606	267	31	academic	academic	ADJ
easat-10606	267	32	world	world	NOUN
easat-10606	267	33	,	,	PUNCT
easat-10606	267	34	including	include	VERB
easat-10606	267	35	[	[	X
easat-10606	267	36	57	57	NUM
easat-10606	267	37	]	]	PUNCT
easat-10606	267	38	presented	present	VERB
easat-10606	267	39	an	an	DET
easat-10606	267	40	experiment	experiment	NOUN
easat-10606	267	41	using	use	VERB
easat-10606	267	42	machine	machine	NOUN
easat-10606	267	43	learning	learn	VERB
easat-10606	267	44	open	open	ADJ
easat-10606	267	45	-	-	PUNCT
easat-10606	267	46	source	source	NOUN
easat-10606	267	47	data	data	NOUN
easat-10606	267	48	mining	mining	NOUN
easat-10606	267	49	software	software	NOUN
easat-10606	267	50	tools	tool	NOUN
easat-10606	267	51	,	,	PUNCT
easat-10606	267	52	although	although	SCONJ
easat-10606	267	53	no	no	DET
easat-10606	267	54	single	single	ADJ
easat-10606	267	55	tool	tool	NOUN
easat-10606	267	56	consistently	consistently	ADV
easat-10606	267	57	achieves	achieve	VERB
easat-10606	267	58	the	the	DET
easat-10606	267	59	best	good	ADJ
easat-10606	267	60	results	result	NOUN
easat-10606	267	61	.	.	PUNCT
easat-10606	268	1	the	the	DET
easat-10606	268	2	study	study	NOUN
easat-10606	268	3	aimed	aim	VERB
easat-10606	268	4	to	to	PART
easat-10606	268	5	improve	improve	VERB
easat-10606	268	6	svm	svm	ADJ
easat-10606	268	7	models	model	NOUN
easat-10606	268	8	on	on	ADP
easat-10606	268	9	benchmark	benchmark	NOUN
easat-10606	268	10	datasets	dataset	NOUN
easat-10606	268	11	from	from	ADP
easat-10606	268	12	the	the	DET
easat-10606	268	13	pang	pang	NOUN
easat-10606	268	14	and	and	CCONJ
easat-10606	268	15	taboada	taboada	PROPN
easat-10606	268	16	corpora	corpora	PROPN
easat-10606	268	17	.	.	PUNCT
easat-10606	269	1	svm	svm	PROPN
easat-10606	269	2	was	be	AUX
easat-10606	269	3	selected	select	VERB
easat-10606	269	4	for	for	ADP
easat-10606	269	5	classification	classification	NOUN
easat-10606	269	6	because	because	SCONJ
easat-10606	269	7	it	it	PRON
easat-10606	269	8	performs	perform	VERB
easat-10606	269	9	well	well	ADV
easat-10606	269	10	in	in	ADP
easat-10606	269	11	text	text	NOUN
easat-10606	269	12	classification	classification	NOUN
easat-10606	269	13	and	and	CCONJ
easat-10606	269	14	can	can	AUX
easat-10606	269	15	handle	handle	VERB
easat-10606	269	16	large	large	ADJ
easat-10606	269	17	feature	feature	NOUN
easat-10606	269	18	sets	set	NOUN
easat-10606	269	19	.	.	PUNCT
easat-10606	270	1	the	the	DET
easat-10606	270	2	evaluation	evaluation	NOUN
easat-10606	270	3	metrics	metric	NOUN
easat-10606	270	4	included	include	VERB
easat-10606	270	5	f1	f1	NOUN
easat-10606	270	6	-	-	PUNCT
easat-10606	270	7	measure	measure	NOUN
easat-10606	270	8	,	,	PUNCT
easat-10606	270	9	accuracy	accuracy	NOUN
easat-10606	270	10	,	,	PUNCT
easat-10606	270	11	and	and	CCONJ
easat-10606	270	12	auc	auc	NOUN
easat-10606	270	13	(	(	PUNCT
easat-10606	270	14	area	area	NOUN
easat-10606	270	15	under	under	ADP
easat-10606	270	16	the	the	DET
easat-10606	270	17	roc	roc	PROPN
easat-10606	270	18	curve	curve	NOUN
easat-10606	270	19	)	)	PUNCT
easat-10606	270	20	.	.	PUNCT
easat-10606	271	1	the	the	DET
easat-10606	271	2	study	study	NOUN
easat-10606	271	3	concluded	conclude	VERB
easat-10606	271	4	that	that	SCONJ
easat-10606	271	5	n	n	NOUN
easat-10606	271	6	-	-	PUNCT
easat-10606	271	7	gram	gram	NOUN
easat-10606	271	8	and	and	CCONJ
easat-10606	271	9	bi	bi	NOUN
easat-10606	271	10	-	-	ADJ
easat-10606	271	11	gram	gram	ADJ
easat-10606	271	12	models	model	NOUN
easat-10606	271	13	have	have	VERB
easat-10606	271	14	lower	low	ADJ
easat-10606	271	15	performance	performance	NOUN
easat-10606	271	16	compared	compare	VERB
easat-10606	271	17	to	to	ADP
easat-10606	271	18	the	the	DET
easat-10606	271	19	unigram	unigram	NOUN
easat-10606	271	20	model	model	NOUN
easat-10606	271	21	for	for	ADP
easat-10606	271	22	both	both	DET
easat-10606	271	23	datasets	dataset	NOUN
easat-10606	271	24	.	.	PUNCT
easat-10606	272	1	however	however	ADV
easat-10606	272	2	,	,	PUNCT
easat-10606	272	3	the	the	DET
easat-10606	272	4	experiment	experiment	NOUN
easat-10606	272	5	did	do	AUX
easat-10606	272	6	not	not	PART
easat-10606	272	7	consider	consider	VERB
easat-10606	272	8	embedded	embed	VERB
easat-10606	272	9	feature	feature	NOUN
easat-10606	272	10	extraction	extraction	NOUN
easat-10606	272	11	methods	method	NOUN
easat-10606	272	12	.	.	PUNCT
easat-10606	273	1	some	some	DET
easat-10606	273	2	models	model	NOUN
easat-10606	273	3	achieve	achieve	VERB
easat-10606	273	4	better	well	ADJ
easat-10606	273	5	results	result	NOUN
easat-10606	273	6	more	more	ADV
easat-10606	273	7	frequently	frequently	ADV
easat-10606	273	8	than	than	ADP
easat-10606	273	9	others	other	NOUN
easat-10606	273	10	.	.	PUNCT
easat-10606	274	1	breiman	breiman	NOUN
easat-10606	274	2	[	[	X
easat-10606	274	3	55	55	NUM
easat-10606	274	4	]	]	PUNCT
easat-10606	274	5	discussed	discuss	VERB
easat-10606	274	6	faculty	faculty	NOUN
easat-10606	274	7	performance	performance	NOUN
easat-10606	274	8	evaluation	evaluation	NOUN
easat-10606	274	9	using	use	VERB
easat-10606	274	10	a	a	DET
easat-10606	274	11	document	document	NOUN
easat-10606	274	12	-	-	PUNCT
easat-10606	274	13	level	level	NOUN
easat-10606	274	14	sentiment	sentiment	NOUN
easat-10606	274	15	analysis	analysis	NOUN
easat-10606	274	16	approach	approach	NOUN
easat-10606	274	17	.	.	PUNCT
easat-10606	275	1	in	in	ADP
easat-10606	275	2	the	the	DET
easat-10606	275	3	study	study	NOUN
easat-10606	275	4	,	,	PUNCT
easat-10606	275	5	a	a	DET
easat-10606	275	6	pre	pre	ADJ
easat-10606	275	7	-	-	ADJ
easat-10606	275	8	processed	processed	ADJ
easat-10606	275	9	dataset	dataset	NOUN
easat-10606	275	10	of	of	ADP
easat-10606	275	11	about	about	ADV
easat-10606	275	12	5000	5000	NUM
easat-10606	275	13	comments	comment	NOUN
easat-10606	275	14	was	be	AUX
easat-10606	275	15	used	use	VERB
easat-10606	275	16	to	to	PART
easat-10606	275	17	train	train	VERB
easat-10606	275	18	two	two	NUM
easat-10606	275	19	machine	machine	NOUN
easat-10606	275	20	learning	learn	VERB
easat-10606	275	21	classifiers	classifier	NOUN
easat-10606	275	22	,	,	PUNCT
easat-10606	275	23	svm	svm	ADJ
easat-10606	275	24	and	and	CCONJ
easat-10606	275	25	naïve	naïve	ADJ
easat-10606	275	26	bayes	bayes	NOUN
easat-10606	275	27	(	(	PUNCT
easat-10606	275	28	nb	nb	PROPN
easat-10606	275	29	)	)	PUNCT
easat-10606	275	30	,	,	PUNCT
easat-10606	275	31	which	which	PRON
easat-10606	275	32	had	have	VERB
easat-10606	275	33	accuracy	accuracy	NOUN
easat-10606	275	34	rates	rate	NOUN
easat-10606	275	35	of	of	ADP
easat-10606	275	36	72.8	72.8	NUM
easat-10606	275	37	%	%	NOUN
easat-10606	275	38	and	and	CCONJ
easat-10606	275	39	81	81	NUM
easat-10606	275	40	%	%	NOUN
easat-10606	275	41	,	,	PUNCT
easat-10606	275	42	respectively	respectively	ADV
easat-10606	275	43	.	.	PUNCT
easat-10606	276	1	chatterjee	chatterjee	PROPN
easat-10606	276	2	and	and	CCONJ
easat-10606	276	3	chakma	chakma	NOUN
easat-10606	276	4	[	[	X
easat-10606	276	5	58	58	NUM
easat-10606	276	6	]	]	PUNCT
easat-10606	276	7	compared	compare	VERB
easat-10606	276	8	the	the	DET
easat-10606	276	9	sentiment	sentiment	NOUN
easat-10606	276	10	classification	classification	NOUN
easat-10606	276	11	of	of	ADP
easat-10606	276	12	student	student	NOUN
easat-10606	276	13	feedback	feedback	NOUN
easat-10606	276	14	questions	question	NOUN
easat-10606	276	15	at	at	ADP
easat-10606	276	16	the	the	DET
easat-10606	276	17	sentence	sentence	NOUN
easat-10606	276	18	level	level	NOUN
easat-10606	276	19	and	and	CCONJ
easat-10606	276	20	token	token	VERB
easat-10606	276	21	level	level	NOUN
easat-10606	276	22	for	for	ADP
easat-10606	276	23	different	different	ADJ
easat-10606	276	24	classifiers	classifier	NOUN
easat-10606	276	25	.	.	PUNCT
easat-10606	277	1	the	the	DET
easat-10606	277	2	data	datum	NOUN
easat-10606	277	3	obtained	obtain	VERB
easat-10606	277	4	was	be	AUX
easat-10606	277	5	classified	classify	VERB
easat-10606	277	6	using	use	VERB
easat-10606	277	7	a	a	DET
easat-10606	277	8	supervised	supervised	ADJ
easat-10606	277	9	learning	learning	NOUN
easat-10606	277	10	algorithm	algorithm	NOUN
easat-10606	277	11	.	.	PUNCT
easat-10606	278	1	the	the	DET
easat-10606	278	2	authors	author	NOUN
easat-10606	278	3	classified	classify	VERB
easat-10606	278	4	the	the	DET
easat-10606	278	5	questions	question	NOUN
easat-10606	278	6	in	in	ADP
easat-10606	278	7	the	the	DET
easat-10606	278	8	form	form	NOUN
easat-10606	278	9	of	of	ADP
easat-10606	278	10	natural	natural	ADJ
easat-10606	278	11	language	language	NOUN
easat-10606	278	12	text	text	NOUN
easat-10606	278	13	using	use	VERB
easat-10606	278	14	sentiment	sentiment	NOUN
easat-10606	278	15	analysis	analysis	NOUN
easat-10606	278	16	methods	method	NOUN
easat-10606	278	17	.	.	PUNCT
easat-10606	279	1	additionally	additionally	ADV
easat-10606	279	2	,	,	PUNCT
easat-10606	279	3	feature	feature	NOUN
easat-10606	279	4	extraction	extraction	NOUN
easat-10606	279	5	was	be	AUX
easat-10606	279	6	performed	perform	VERB
easat-10606	279	7	with	with	ADP
easat-10606	279	8	rapidminer	rapidminer	NOUN
easat-10606	279	9	,	,	PUNCT
easat-10606	279	10	and	and	CCONJ
easat-10606	279	11	a	a	DET
easat-10606	279	12	standard	standard	ADJ
easat-10606	279	13	pos	pos	NOUN
easat-10606	279	14	tagger	tagger	NOUN
easat-10606	279	15	was	be	AUX
easat-10606	279	16	used	use	VERB
easat-10606	279	17	to	to	PART
easat-10606	279	18	tag	tag	VERB
easat-10606	279	19	all	all	DET
easat-10606	279	20	tokens	token	NOUN
easat-10606	279	21	.	.	PUNCT
easat-10606	280	1	different	different	ADJ
easat-10606	280	2	classifiers	classifier	NOUN
easat-10606	280	3	were	be	AUX
easat-10606	280	4	employed	employ	VERB
easat-10606	280	5	at	at	ADP
easat-10606	280	6	both	both	CCONJ
easat-10606	280	7	the	the	DET
easat-10606	280	8	sentence	sentence	NOUN
easat-10606	280	9	and	and	CCONJ
easat-10606	280	10	token	token	ADJ
easat-10606	280	11	levels	level	NOUN
easat-10606	280	12	.	.	PUNCT
easat-10606	281	1	the	the	DET
easat-10606	281	2	results	result	NOUN
easat-10606	281	3	of	of	ADP
easat-10606	281	4	the	the	DET
easat-10606	281	5	comparison	comparison	NOUN
easat-10606	281	6	showed	show	VERB
easat-10606	281	7	that	that	SCONJ
easat-10606	281	8	token	token	VERB
easat-10606	281	9	-	-	PUNCT
easat-10606	281	10	level	level	NOUN
easat-10606	281	11	sentiment	sentiment	NOUN
easat-10606	281	12	analysis	analysis	NOUN
easat-10606	281	13	using	use	VERB
easat-10606	281	14	a	a	DET
easat-10606	281	15	decision	decision	NOUN
easat-10606	281	16	tree	tree	NOUN
easat-10606	281	17	(	(	PUNCT
easat-10606	281	18	dt)-based	dt)-base	VERB
easat-10606	281	19	classifier	classifier	NOUN
easat-10606	281	20	yields	yield	NOUN
easat-10606	281	21	improved	improve	VERB
easat-10606	281	22	results	result	NOUN
easat-10606	281	23	.	.	PUNCT
easat-10606	282	1	furthermore	furthermore	ADV
easat-10606	282	2	,	,	PUNCT
easat-10606	282	3	the	the	DET
easat-10606	282	4	cosine	cosine	NOUN
easat-10606	282	5	similarity	similarity	NOUN
easat-10606	282	6	method	method	NOUN
easat-10606	282	7	was	be	AUX
easat-10606	282	8	used	use	VERB
easat-10606	282	9	by	by	ADP
easat-10606	282	10	sivakumar	sivakumar	PROPN
easat-10606	282	11	and	and	CCONJ
easat-10606	282	12	reddy	reddy	PROPN
easat-10606	283	1	[	[	X
easat-10606	283	2	59	59	NUM
easat-10606	283	3	]	]	PUNCT
easat-10606	283	4	to	to	PART
easat-10606	283	5	assess	assess	VERB
easat-10606	283	6	the	the	DET
easat-10606	283	7	semantic	semantic	ADJ
easat-10606	283	8	similarity	similarity	NOUN
easat-10606	283	9	of	of	ADP
easat-10606	283	10	aspect	aspect	NOUN
easat-10606	283	11	terms	term	NOUN
easat-10606	283	12	and	and	CCONJ
easat-10606	283	13	student	student	NOUN
easat-10606	283	14	opinion	opinion	NOUN
easat-10606	283	15	sentences	sentence	NOUN
easat-10606	283	16	.	.	PUNCT
easat-10606	284	1	the	the	DET
easat-10606	284	2	data	datum	NOUN
easat-10606	284	3	for	for	ADP
easat-10606	284	4	the	the	DET
easat-10606	284	5	study	study	NOUN
easat-10606	284	6	was	be	AUX
easat-10606	284	7	collected	collect	VERB
easat-10606	284	8	from	from	ADP
easat-10606	284	9	the	the	DET
easat-10606	284	10	twitter	twitter	NOUN
easat-10606	284	11	api	api	NOUN
easat-10606	284	12	,	,	PUNCT
easat-10606	284	13	preprocessed	preprocesse	VERB
easat-10606	284	14	,	,	PUNCT
easat-10606	284	15	and	and	CCONJ
easat-10606	284	16	the	the	DET
easat-10606	284	17	comments	comment	NOUN
easat-10606	284	18	were	be	AUX
easat-10606	284	19	categorized	categorize	VERB
easat-10606	284	20	at	at	ADP
easat-10606	284	21	the	the	DET
easat-10606	284	22	phrase	phrase	NOUN
easat-10606	284	23	level	level	NOUN
easat-10606	284	24	into	into	ADP
easat-10606	284	25	seven	seven	NUM
easat-10606	284	26	elements	element	NOUN
easat-10606	284	27	.	.	PUNCT
easat-10606	285	1	in	in	ADP
easat-10606	285	2	an	an	DET
easat-10606	285	3	attempt	attempt	NOUN
easat-10606	285	4	to	to	PART
easat-10606	285	5	classify	classify	VERB
easat-10606	285	6	the	the	DET
easat-10606	285	7	texts	text	NOUN
easat-10606	285	8	into	into	ADP
easat-10606	285	9	various	various	ADJ
easat-10606	285	10	features	feature	NOUN
easat-10606	285	11	,	,	PUNCT
easat-10606	285	12	three	three	NUM
easat-10606	285	13	machine	machine	NOUN
easat-10606	285	14	learning	learn	VERB
easat-10606	285	15	algorithms	algorithm	NOUN
easat-10606	285	16	,	,	PUNCT
easat-10606	285	17	namely	namely	ADV
easat-10606	285	18	decision	decision	NOUN
easat-10606	285	19	trees	tree	NOUN
easat-10606	285	20	,	,	PUNCT
easat-10606	285	21	svm	svm	NOUN
easat-10606	285	22	,	,	PUNCT
easat-10606	285	23	and	and	CCONJ
easat-10606	285	24	nb	nb	PROPN
easat-10606	285	25	,	,	PUNCT
easat-10606	285	26	were	be	AUX
easat-10606	285	27	applied	apply	VERB
easat-10606	285	28	.	.	PUNCT
easat-10606	286	1	sentiwordnet	sentiwordnet	NOUN
easat-10606	286	2	,	,	PUNCT
easat-10606	286	3	a	a	DET
easat-10606	286	4	lexicon	lexicon	NOUN
easat-10606	286	5	-	-	PUNCT
easat-10606	286	6	based	base	VERB
easat-10606	286	7	technique	technique	NOUN
easat-10606	286	8	,	,	PUNCT
easat-10606	286	9	was	be	AUX
easat-10606	286	10	used	use	VERB
easat-10606	286	11	to	to	PART
easat-10606	286	12	attribute	attribute	VERB
easat-10606	286	13	the	the	DET
easat-10606	286	14	sentiment	sentiment	NOUN
easat-10606	286	15	orientation	orientation	NOUN
easat-10606	286	16	of	of	ADP
easat-10606	286	17	subjective	subjective	ADJ
easat-10606	286	18	phrases	phrase	NOUN
easat-10606	286	19	after	after	SCONJ
easat-10606	286	20	parts	part	NOUN
easat-10606	286	21	-	-	PUNCT
easat-10606	286	22	of	of	ADP
easat-10606	286	23	-	-	PUNCT
easat-10606	286	24	speech	speech	NOUN
easat-10606	286	25	(	(	PUNCT
easat-10606	286	26	pos	pos	NOUN
easat-10606	286	27	)	)	PUNCT
easat-10606	286	28	tagging	tagging	NOUN
easat-10606	286	29	was	be	AUX
easat-10606	286	30	used	use	VERB
easat-10606	286	31	to	to	PART
easat-10606	286	32	extract	extract	VERB
easat-10606	286	33	them	they	PRON
easat-10606	286	34	.	.	PUNCT
easat-10606	287	1	to	to	PART
easat-10606	287	2	identify	identify	VERB
easat-10606	287	3	one	one	NUM
easat-10606	287	4	or	or	CCONJ
easat-10606	287	5	more	more	ADJ
easat-10606	287	6	features	feature	NOUN
easat-10606	287	7	of	of	ADP
easat-10606	287	8	the	the	DET
easat-10606	287	9	sentences	sentence	NOUN
easat-10606	287	10	and	and	CCONJ
easat-10606	287	11	categorize	categorize	VERB
easat-10606	287	12	their	their	PRON
easat-10606	287	13	polarity	polarity	NOUN
easat-10606	287	14	as	as	ADP
easat-10606	287	15	positive	positive	ADJ
easat-10606	287	16	or	or	CCONJ
easat-10606	287	17	negative	negative	ADJ
easat-10606	287	18	sentiment	sentiment	NOUN
easat-10606	287	19	,	,	PUNCT
easat-10606	287	20	[	[	X
easat-10606	287	21	43	43	NUM
easat-10606	287	22	]	]	PUNCT
easat-10606	287	23	performed	perform	VERB
easat-10606	287	24	a	a	DET
easat-10606	287	25	sentence	sentence	NOUN
easat-10606	287	26	-	-	PUNCT
easat-10606	287	27	level	level	NOUN
easat-10606	287	28	analysis	analysis	NOUN
easat-10606	287	29	.	.	PUNCT
easat-10606	288	1	for	for	ADP
easat-10606	288	2	aspect	aspect	NOUN
easat-10606	288	3	extraction	extraction	NOUN
easat-10606	288	4	,	,	PUNCT
easat-10606	288	5	the	the	DET
easat-10606	288	6	authors	author	NOUN
easat-10606	288	7	combined	combine	VERB
easat-10606	288	8	svm	svm	PROPN
easat-10606	288	9	,	,	PUNCT
easat-10606	288	10	a	a	DET
easat-10606	288	11	cascade	cascade	NOUN
easat-10606	288	12	classifier	classifier	NOUN
easat-10606	288	13	,	,	PUNCT
easat-10606	288	14	and	and	CCONJ
easat-10606	288	15	rule	rule	NOUN
easat-10606	288	16	-	-	PUNCT
easat-10606	288	17	based	base	VERB
easat-10606	288	18	approaches	approach	NOUN
easat-10606	288	19	.	.	PUNCT
easat-10606	289	1	the	the	DET
easat-10606	289	2	sentiment	sentiment	NOUN
easat-10606	289	3	was	be	AUX
easat-10606	289	4	also	also	ADV
easat-10606	289	5	identified	identify	VERB
easat-10606	289	6	.	.	PUNCT
easat-10606	290	1	there	there	PRON
easat-10606	290	2	are	be	VERB
easat-10606	290	3	various	various	ADJ
easat-10606	290	4	methods	method	NOUN
easat-10606	290	5	to	to	PART
easat-10606	290	6	implement	implement	VERB
easat-10606	290	7	sa	sa	PROPN
easat-10606	290	8	,	,	PUNCT
easat-10606	290	9	and	and	CCONJ
easat-10606	290	10	one	one	NUM
easat-10606	290	11	of	of	ADP
easat-10606	290	12	them	they	PRON
easat-10606	290	13	is	be	AUX
easat-10606	290	14	ml	ml	NOUN
easat-10606	290	15	.	.	PUNCT
easat-10606	291	1	however	however	ADV
easat-10606	291	2	,	,	PUNCT
easat-10606	291	3	many	many	ADJ
easat-10606	291	4	ml	ml	NOUN
easat-10606	291	5	methods	method	NOUN
easat-10606	291	6	,	,	PUNCT
easat-10606	291	7	including	include	VERB
easat-10606	291	8	nb	nb	PROPN
easat-10606	291	9	,	,	PUNCT
easat-10606	291	10	svm	svm	PROPN
easat-10606	291	11	,	,	PUNCT
easat-10606	291	12	neural	neural	ADJ
easat-10606	291	13	networks	network	NOUN
easat-10606	291	14	,	,	PUNCT
easat-10606	291	15	and	and	CCONJ
easat-10606	291	16	k	k	X
easat-10606	291	17	-	-	PUNCT
easat-10606	291	18	nearest	near	ADJ
easat-10606	291	19	neighbor	neighbor	NOUN
easat-10606	291	20	,	,	PUNCT
easat-10606	291	21	have	have	AUX
easat-10606	291	22	been	be	AUX
easat-10606	291	23	employed	employ	VERB
easat-10606	291	24	to	to	PART
easat-10606	291	25	analyze	analyze	VERB
easat-10606	291	26	student	student	NOUN
easat-10606	291	27	comments	comment	NOUN
easat-10606	291	28	,	,	PUNCT
easat-10606	291	29	aung	aung	PROPN
easat-10606	291	30	and	and	CCONJ
easat-10606	291	31	myo	myo	PROPN
easat-10606	292	1	[	[	X
easat-10606	292	2	60	60	NUM
easat-10606	292	3	]	]	PUNCT
easat-10606	292	4	.	.	PUNCT
easat-10606	293	1	dhanalakshmi	dhanalakshmi	PROPN
easat-10606	293	2	et	et	PROPN
easat-10606	293	3	al	al	PROPN
easat-10606	293	4	.	.	PUNCT
easat-10606	294	1	[	[	X
easat-10606	294	2	61	61	NUM
easat-10606	294	3	]	]	PUNCT
easat-10606	294	4	emphasized	emphasize	VERB
easat-10606	294	5	that	that	SCONJ
easat-10606	294	6	svm	svm	PROPN
easat-10606	294	7	is	be	AUX
easat-10606	294	8	the	the	DET
easat-10606	294	9	best	good	ADJ
easat-10606	294	10	method	method	NOUN
easat-10606	294	11	for	for	ADP
easat-10606	294	12	categorizing	categorize	VERB
easat-10606	294	13	sparse	sparse	ADJ
easat-10606	294	14	text	text	NOUN
easat-10606	294	15	data	datum	NOUN
easat-10606	294	16	,	,	PUNCT
easat-10606	294	17	whereas	whereas	SCONJ
easat-10606	294	18	neural	neural	ADJ
easat-10606	294	19	networks	network	NOUN
easat-10606	294	20	use	use	VERB
easat-10606	294	21	many	many	ADJ
easat-10606	294	22	layers	layer	NOUN
easat-10606	294	23	of	of	ADP
easat-10606	294	24	neurons	neuron	NOUN
easat-10606	294	25	to	to	PART
easat-10606	294	26	classify	classify	VERB
easat-10606	294	27	text	text	NOUN
easat-10606	294	28	,	,	PUNCT
easat-10606	294	29	and	and	CCONJ
easat-10606	294	30	knn	knn	AUX
easat-10606	294	31	use	use	VERB
easat-10606	294	32	euclidean	euclidean	ADJ
easat-10606	294	33	distances	distance	NOUN
easat-10606	294	34	to	to	PART
easat-10606	294	35	evaluate	evaluate	VERB
easat-10606	294	36	the	the	DET
easat-10606	294	37	likelihood	likelihood	NOUN
easat-10606	294	38	that	that	SCONJ
easat-10606	294	39	a	a	DET
easat-10606	294	40	given	give	VERB
easat-10606	294	41	text	text	NOUN
easat-10606	294	42	belongs	belong	VERB
easat-10606	294	43	to	to	ADP
easat-10606	294	44	a	a	DET
easat-10606	294	45	specific	specific	ADJ
easat-10606	294	46	feature	feature	NOUN
easat-10606	294	47	.	.	PUNCT
easat-10606	295	1	according	accord	VERB
easat-10606	295	2	to	to	ADP
easat-10606	295	3	several	several	ADJ
easat-10606	295	4	studies	study	NOUN
easat-10606	295	5	,	,	PUNCT
easat-10606	295	6	zimbra	zimbra	PROPN
easat-10606	295	7	et	et	NOUN
easat-10606	295	8	al	al	PROPN
easat-10606	295	9	.	.	PUNCT
easat-10606	296	1	[	[	X
easat-10606	296	2	23	23	NUM
easat-10606	296	3	]	]	PUNCT
easat-10606	296	4	;	;	PUNCT
easat-10606	296	5	altrabsheh	altrabsheh	PROPN
easat-10606	296	6	et	et	PROPN
easat-10606	296	7	al	al	PROPN
easat-10606	296	8	.	.	PUNCT
easat-10606	297	1	[	[	X
easat-10606	297	2	62	62	NUM
easat-10606	297	3	]	]	PUNCT
easat-10606	297	4	and	and	CCONJ
easat-10606	297	5	balahadia	balahadia	VERB
easat-10606	297	6	et	et	PROPN
easat-10606	297	7	al	al	PROPN
easat-10606	297	8	.	.	PUNCT
easat-10606	298	1	[	[	X
easat-10606	298	2	63	63	NUM
easat-10606	298	3	]	]	PUNCT
easat-10606	298	4	,	,	PUNCT
easat-10606	298	5	neural	neural	ADJ
easat-10606	298	6	networks	network	NOUN
easat-10606	298	7	are	be	AUX
easat-10606	298	8	the	the	DET
easat-10606	298	9	ideal	ideal	ADJ
easat-10606	298	10	method	method	NOUN
easat-10606	298	11	for	for	ADP
easat-10606	298	12	opinion	opinion	NOUN
easat-10606	298	13	mining	mining	NOUN
easat-10606	298	14	.	.	PUNCT
easat-10606	299	1	el	el	PROPN
easat-10606	299	2	-	-	PUNCT
easat-10606	299	3	halees	halees	PROPN
easat-10606	299	4	[	[	X
easat-10606	299	5	64	64	NUM
easat-10606	299	6	]	]	PUNCT
easat-10606	299	7	investigated	investigate	VERB
easat-10606	299	8	how	how	SCONJ
easat-10606	299	9	opinion	opinion	NOUN
easat-10606	299	10	mining	mining	NOUN
easat-10606	299	11	may	may	AUX
easat-10606	299	12	offer	offer	VERB
easat-10606	299	13	an	an	DET
easat-10606	299	14	alternative	alternative	ADJ
easat-10606	299	15	way	way	NOUN
easat-10606	299	16	to	to	PART
easat-10606	299	17	improve	improve	VERB
easat-10606	299	18	course	course	NOUN
easat-10606	299	19	evaluation	evaluation	NOUN
easat-10606	299	20	using	use	VERB
easat-10606	299	21	students	student	NOUN
easat-10606	299	22	'	'	PART
easat-10606	299	23	attitudes	attitude	NOUN
easat-10606	299	24	posted	post	VERB
easat-10606	299	25	on	on	ADP
easat-10606	299	26	internet	internet	NOUN
easat-10606	299	27	forums	forum	NOUN
easat-10606	299	28	,	,	PUNCT
easat-10606	299	29	discussion	discussion	NOUN
easat-10606	299	30	groups	group	NOUN
easat-10606	299	31	,	,	PUNCT
easat-10606	299	32	and/or	and/or	CCONJ
easat-10606	299	33	blogs	blog	NOUN
easat-10606	299	34	,	,	PUNCT
easat-10606	299	35	which	which	PRON
easat-10606	299	36	are	be	AUX
easat-10606	299	37	collectively	collectively	ADV
easat-10606	299	38	called	call	VERB
easat-10606	299	39	user	user	NOUN
easat-10606	299	40	-	-	PUNCT
easat-10606	299	41	generated	generate	VERB
easat-10606	299	42	content	content	NOUN
easat-10606	299	43	.	.	PUNCT
easat-10606	300	1	the	the	DET
easat-10606	300	2	author	author	NOUN
easat-10606	300	3	proposed	propose	VERB
easat-10606	300	4	a	a	DET
easat-10606	300	5	model	model	NOUN
easat-10606	300	6	to	to	ADP
easat-10606	300	7	mine	mine	VERB
easat-10606	300	8	knowledge	knowledge	NOUN
easat-10606	300	9	from	from	ADP
easat-10606	300	10	1159	1159	NUM
easat-10606	300	11	edelweiss	edelweiss	PROPN
easat-10606	300	12	applied	apply	VERB
easat-10606	300	13	science	science	NOUN
easat-10606	300	14	and	and	CCONJ
easat-10606	300	15	technology	technology	NOUN
easat-10606	300	16	issn	issn	PROPN
easat-10606	300	17	:	:	PUNCT
easat-10606	300	18	2576	2576	NUM
easat-10606	300	19	-	-	SYM
easat-10606	300	20	8484	8484	NUM
easat-10606	300	21	vol	vol	NOUN
easat-10606	300	22	.	.	PROPN
easat-10606	301	1	9	9	NUM
easat-10606	301	2	,	,	PUNCT
easat-10606	301	3	no	no	INTJ
easat-10606	301	4	.	.	NOUN
easat-10606	301	5	10	10	NUM
easat-10606	301	6	:	:	SYM
easat-10606	301	7	1149	1149	NUM
easat-10606	301	8	-	-	SYM
easat-10606	301	9	1180	1180	NUM
easat-10606	301	10	,	,	PUNCT
easat-10606	301	11	2025	2025	NUM
easat-10606	301	12	doi	doi	NOUN
easat-10606	301	13	:	:	PUNCT
easat-10606	301	14	10.55214/2576	10.55214/2576	NUM
easat-10606	301	15	-	-	SYM
easat-10606	301	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	301	17	©	©	ADP
easat-10606	301	18	2025	2025	NUM
easat-10606	301	19	by	by	ADP
easat-10606	301	20	the	the	DET
easat-10606	301	21	authors	author	NOUN
easat-10606	301	22	;	;	PUNCT
easat-10606	301	23	licensee	licensee	PROPN
easat-10606	301	24	learning	learn	VERB
easat-10606	301	25	gate	gate	PROPN
easat-10606	301	26	students	student	NOUN
easat-10606	301	27	'	'	PART
easat-10606	301	28	opinions	opinion	NOUN
easat-10606	301	29	to	to	PART
easat-10606	301	30	improve	improve	VERB
easat-10606	301	31	teaching	teach	VERB
easat-10606	301	32	effectiveness	effectiveness	NOUN
easat-10606	301	33	in	in	ADP
easat-10606	301	34	academic	academic	ADJ
easat-10606	301	35	institutions	institution	NOUN
easat-10606	301	36	,	,	PUNCT
easat-10606	301	37	to	to	PART
easat-10606	301	38	achieve	achieve	VERB
easat-10606	301	39	the	the	DET
easat-10606	301	40	purpose	purpose	NOUN
easat-10606	301	41	of	of	ADP
easat-10606	301	42	the	the	DET
easat-10606	301	43	study	study	NOUN
easat-10606	301	44	.	.	PUNCT
easat-10606	302	1	about	about	ADP
easat-10606	302	2	4957	4957	NUM
easat-10606	302	3	data	datum	NOUN
easat-10606	302	4	points	point	NOUN
easat-10606	302	5	were	be	AUX
easat-10606	302	6	collected	collect	VERB
easat-10606	302	7	from	from	ADP
easat-10606	302	8	discussion	discussion	NOUN
easat-10606	302	9	posts	post	NOUN
easat-10606	302	10	,	,	PUNCT
easat-10606	302	11	pre	pre	VERB
easat-10606	302	12	-	-	VERB
easat-10606	302	13	processed	processed	ADJ
easat-10606	302	14	(	(	PUNCT
easat-10606	302	15	data	datum	NOUN
easat-10606	302	16	cleaning	cleaning	NOUN
easat-10606	302	17	,	,	PUNCT
easat-10606	302	18	removal	removal	NOUN
easat-10606	302	19	of	of	ADP
easat-10606	302	20	tags	tag	NOUN
easat-10606	302	21	,	,	PUNCT
easat-10606	302	22	non	non	ADJ
easat-10606	302	23	-	-	ADJ
easat-10606	302	24	textual	textual	ADJ
easat-10606	302	25	contents	content	NOUN
easat-10606	302	26	,	,	PUNCT
easat-10606	302	27	and	and	CCONJ
easat-10606	302	28	stop	stop	VERB
easat-10606	302	29	words	word	NOUN
easat-10606	302	30	,	,	PUNCT
easat-10606	302	31	tokenized	tokenize	VERB
easat-10606	302	32	,	,	PUNCT
easat-10606	302	33	normalized	normalize	VERB
easat-10606	302	34	,	,	PUNCT
easat-10606	302	35	and	and	CCONJ
easat-10606	302	36	stemmed	stem	VERB
easat-10606	302	37	,	,	PUNCT
easat-10606	302	38	vectorized	vectorize	VERB
easat-10606	302	39	)	)	PUNCT
easat-10606	302	40	and	and	CCONJ
easat-10606	302	41	feature	feature	NOUN
easat-10606	302	42	extraction	extraction	NOUN
easat-10606	302	43	was	be	AUX
easat-10606	302	44	performed	perform	VERB
easat-10606	302	45	.	.	PUNCT
easat-10606	303	1	additionally	additionally	ADV
easat-10606	303	2	,	,	PUNCT
easat-10606	303	3	three	three	NUM
easat-10606	303	4	machine	machine	NOUN
easat-10606	303	5	learning	learning	NOUN
easat-10606	303	6	methods	method	NOUN
easat-10606	303	7	,	,	PUNCT
easat-10606	303	8	naive	naive	ADJ
easat-10606	303	9	bayes	bayes	NOUN
easat-10606	303	10	(	(	PUNCT
easat-10606	303	11	nb	nb	PROPN
easat-10606	303	12	)	)	PUNCT
easat-10606	303	13	,	,	PUNCT
easat-10606	303	14	knn	knn	PROPN
easat-10606	303	15	,	,	PUNCT
easat-10606	303	16	and	and	CCONJ
easat-10606	303	17	support	support	VERB
easat-10606	303	18	vector	vector	NOUN
easat-10606	303	19	machine	machine	NOUN
easat-10606	303	20	(	(	PUNCT
easat-10606	303	21	svm	svm	PROPN
easat-10606	303	22	)	)	PUNCT
easat-10606	303	23	were	be	AUX
easat-10606	303	24	applied	apply	VERB
easat-10606	303	25	to	to	PART
easat-10606	303	26	classify	classify	VERB
easat-10606	303	27	opinions	opinion	NOUN
easat-10606	303	28	as	as	ADP
easat-10606	303	29	positive	positive	ADJ
easat-10606	303	30	or	or	CCONJ
easat-10606	303	31	negative	negative	ADJ
easat-10606	303	32	for	for	ADP
easat-10606	303	33	each	each	DET
easat-10606	303	34	student	student	NOUN
easat-10606	303	35	's	's	PART
easat-10606	303	36	posts	post	NOUN
easat-10606	303	37	.	.	PUNCT
easat-10606	304	1	the	the	DET
easat-10606	304	2	opinion	opinion	NOUN
easat-10606	304	3	classification	classification	NOUN
easat-10606	304	4	was	be	AUX
easat-10606	304	5	evaluated	evaluate	VERB
easat-10606	304	6	based	base	VERB
easat-10606	304	7	on	on	ADP
easat-10606	304	8	three	three	NUM
easat-10606	304	9	performance	performance	NOUN
easat-10606	304	10	metrics	metric	NOUN
easat-10606	304	11	:	:	PUNCT
easat-10606	304	12	precision	precision	NOUN
easat-10606	304	13	,	,	PUNCT
easat-10606	304	14	recall	recall	NOUN
easat-10606	304	15	,	,	PUNCT
easat-10606	304	16	and	and	CCONJ
easat-10606	304	17	f	f	X
easat-10606	304	18	-	-	PUNCT
easat-10606	304	19	measure	measure	NOUN
easat-10606	304	20	,	,	PUNCT
easat-10606	304	21	and	and	CCONJ
easat-10606	304	22	later	later	ADV
easat-10606	304	23	compared	compare	VERB
easat-10606	304	24	with	with	ADP
easat-10606	304	25	manually	manually	ADV
easat-10606	304	26	evaluated	evaluate	VERB
easat-10606	304	27	scores	score	NOUN
easat-10606	304	28	.	.	PUNCT
easat-10606	305	1	with	with	ADP
easat-10606	305	2	a	a	DET
easat-10606	305	3	precision	precision	NOUN
easat-10606	305	4	of	of	ADP
easat-10606	305	5	77.58	77.58	NUM
easat-10606	305	6	%	%	NOUN
easat-10606	305	7	,	,	PUNCT
easat-10606	305	8	the	the	DET
easat-10606	305	9	study	study	NOUN
easat-10606	305	10	concluded	conclude	VERB
easat-10606	305	11	that	that	SCONJ
easat-10606	305	12	the	the	DET
easat-10606	305	13	nb	nb	PROPN
easat-10606	305	14	method	method	NOUN
easat-10606	305	15	has	have	VERB
easat-10606	305	16	better	well	ADJ
easat-10606	305	17	performance	performance	NOUN
easat-10606	305	18	than	than	ADP
easat-10606	305	19	the	the	DET
easat-10606	305	20	other	other	ADJ
easat-10606	305	21	two	two	NUM
easat-10606	305	22	machine	machine	NOUN
easat-10606	305	23	learning	learning	NOUN
easat-10606	305	24	methods	method	NOUN
easat-10606	305	25	.	.	PUNCT
easat-10606	306	1	similarly	similarly	ADV
easat-10606	306	2	,	,	PUNCT
easat-10606	306	3	with	with	ADP
easat-10606	306	4	a	a	DET
easat-10606	306	5	recall	recall	NOUN
easat-10606	306	6	of	of	ADP
easat-10606	306	7	82.23	82.23	NUM
easat-10606	306	8	%	%	NOUN
easat-10606	306	9	,	,	PUNCT
easat-10606	306	10	svm	svm	PROPN
easat-10606	306	11	has	have	VERB
easat-10606	306	12	better	well	ADJ
easat-10606	306	13	performance	performance	NOUN
easat-10606	306	14	.	.	PUNCT
easat-10606	307	1	however	however	ADV
easat-10606	307	2	,	,	PUNCT
easat-10606	307	3	overall	overall	ADV
easat-10606	307	4	,	,	PUNCT
easat-10606	307	5	nb	nb	PROPN
easat-10606	307	6	has	have	VERB
easat-10606	307	7	the	the	DET
easat-10606	307	8	best	good	ADJ
easat-10606	307	9	f	f	ADJ
easat-10606	307	10	-	-	PUNCT
easat-10606	307	11	measure	measure	NOUN
easat-10606	307	12	with	with	ADP
easat-10606	307	13	77.83	77.83	NUM
easat-10606	307	14	%	%	NOUN
easat-10606	307	15	.	.	PUNCT
easat-10606	308	1	altrabsheh	altrabsheh	PROPN
easat-10606	308	2	et	et	PROPN
easat-10606	308	3	al	al	PROPN
easat-10606	308	4	.	.	PUNCT
easat-10606	309	1	[	[	X
easat-10606	309	2	65	65	NUM
easat-10606	309	3	]	]	PUNCT
easat-10606	309	4	investigated	investigate	VERB
easat-10606	309	5	different	different	ADJ
easat-10606	309	6	combinations	combination	NOUN
easat-10606	309	7	of	of	ADP
easat-10606	309	8	machine	machine	NOUN
easat-10606	309	9	learning	learn	VERB
easat-10606	309	10	techniques	technique	NOUN
easat-10606	309	11	,	,	PUNCT
easat-10606	309	12	features	feature	NOUN
easat-10606	309	13	,	,	PUNCT
easat-10606	309	14	pre	pre	ADJ
easat-10606	309	15	-	-	ADJ
easat-10606	309	16	processing	processing	ADJ
easat-10606	309	17	levels	level	NOUN
easat-10606	309	18	,	,	PUNCT
easat-10606	309	19	and	and	CCONJ
easat-10606	309	20	the	the	DET
easat-10606	309	21	use	use	NOUN
easat-10606	309	22	of	of	ADP
easat-10606	309	23	neutral	neutral	ADJ
easat-10606	309	24	classes	class	NOUN
easat-10606	309	25	for	for	ADP
easat-10606	309	26	analyzing	analyze	VERB
easat-10606	309	27	real	real	ADJ
easat-10606	309	28	-	-	PUNCT
easat-10606	309	29	time	time	NOUN
easat-10606	309	30	students	student	NOUN
easat-10606	309	31	'	'	PART
easat-10606	309	32	feedback	feedback	NOUN
easat-10606	309	33	.	.	PUNCT
easat-10606	310	1	about	about	ADP
easat-10606	310	2	1036	1036	NUM
easat-10606	310	3	data	datum	NOUN
easat-10606	310	4	points	point	NOUN
easat-10606	310	5	were	be	AUX
easat-10606	310	6	collected	collect	VERB
easat-10606	310	7	from	from	ADP
easat-10606	310	8	each	each	DET
easat-10606	310	9	student	student	NOUN
easat-10606	310	10	,	,	PUNCT
easat-10606	310	11	with	with	ADP
easat-10606	310	12	their	their	PRON
easat-10606	310	13	distribution	distribution	NOUN
easat-10606	310	14	as	as	ADP
easat-10606	310	15	641	641	NUM
easat-10606	310	16	positive	positive	ADJ
easat-10606	310	17	,	,	PUNCT
easat-10606	310	18	292	292	NUM
easat-10606	310	19	negative	negative	ADJ
easat-10606	310	20	,	,	PUNCT
easat-10606	310	21	and	and	CCONJ
easat-10606	310	22	103	103	NUM
easat-10606	310	23	neutral	neutral	ADJ
easat-10606	310	24	.	.	PUNCT
easat-10606	311	1	furthermore	furthermore	ADV
easat-10606	311	2	,	,	PUNCT
easat-10606	311	3	the	the	DET
easat-10606	311	4	data	datum	NOUN
easat-10606	311	5	collected	collect	VERB
easat-10606	311	6	was	be	AUX
easat-10606	311	7	labeled	label	VERB
easat-10606	311	8	by	by	ADP
easat-10606	311	9	three	three	NUM
easat-10606	311	10	experts	expert	NOUN
easat-10606	311	11	,	,	PUNCT
easat-10606	311	12	two	two	NUM
easat-10606	311	13	of	of	ADP
easat-10606	311	14	whom	whom	PRON
easat-10606	311	15	were	be	AUX
easat-10606	311	16	linguistics	linguistic	NOUN
easat-10606	311	17	experts	expert	NOUN
easat-10606	311	18	.	.	PUNCT
easat-10606	312	1	the	the	DET
easat-10606	312	2	reliability	reliability	NOUN
easat-10606	312	3	of	of	ADP
easat-10606	312	4	the	the	DET
easat-10606	312	5	labels	label	NOUN
easat-10606	312	6	'	'	PART
easat-10606	312	7	inter	inter	ADJ
easat-10606	312	8	-	-	ADJ
easat-10606	312	9	rater	rater	ADJ
easat-10606	312	10	reliability	reliability	NOUN
easat-10606	312	11	was	be	AUX
easat-10606	312	12	calculated	calculate	VERB
easat-10606	312	13	,	,	PUNCT
easat-10606	312	14	and	and	CCONJ
easat-10606	312	15	the	the	DET
easat-10606	312	16	percentage	percentage	NOUN
easat-10606	312	17	agreement	agreement	NOUN
easat-10606	312	18	reached	reach	VERB
easat-10606	312	19	was	be	AUX
easat-10606	312	20	80.6	80.6	NUM
easat-10606	312	21	%	%	NOUN
easat-10606	312	22	,	,	PUNCT
easat-10606	312	23	the	the	DET
easat-10606	312	24	fleiss	fleiss	PROPN
easat-10606	312	25	kappa	kappa	PROPN
easat-10606	312	26	was	be	AUX
easat-10606	312	27	0.625	0.625	NUM
easat-10606	312	28	,	,	PUNCT
easat-10606	312	29	and	and	CCONJ
easat-10606	312	30	krippendorff	krippendorff	PROPN
easat-10606	312	31	's	's	PART
easat-10606	312	32	alpha	alpha	NOUN
easat-10606	312	33	was	be	AUX
easat-10606	312	34	0.626	0.626	NUM
easat-10606	312	35	.	.	PUNCT
easat-10606	313	1	nearly	nearly	ADV
easat-10606	313	2	all	all	DET
easat-10606	313	3	models	model	NOUN
easat-10606	313	4	performed	perform	VERB
easat-10606	313	5	better	well	ADV
easat-10606	313	6	when	when	SCONJ
easat-10606	313	7	pre	pre	ADJ
easat-10606	313	8	-	-	ADJ
easat-10606	313	9	processing	processing	NOUN
easat-10606	313	10	was	be	AUX
easat-10606	313	11	applied	apply	VERB
easat-10606	313	12	,	,	PUNCT
easat-10606	313	13	which	which	PRON
easat-10606	313	14	was	be	AUX
easat-10606	313	15	expected	expect	VERB
easat-10606	313	16	.	.	PUNCT
easat-10606	314	1	however	however	ADV
easat-10606	314	2	,	,	PUNCT
easat-10606	314	3	some	some	DET
easat-10606	314	4	interesting	interesting	ADJ
easat-10606	314	5	exceptions	exception	NOUN
easat-10606	314	6	include	include	VERB
easat-10606	314	7	that	that	SCONJ
easat-10606	314	8	unigrams	unigrams	AUX
easat-10606	314	9	gave	give	VERB
easat-10606	314	10	high	high	ADJ
easat-10606	314	11	performance	performance	NOUN
easat-10606	314	12	in	in	ADP
easat-10606	314	13	several	several	ADJ
easat-10606	314	14	models	model	NOUN
easat-10606	314	15	;	;	PUNCT
easat-10606	314	16	unigrams	unigrams	ADP
easat-10606	314	17	combined	combine	VERB
easat-10606	314	18	with	with	ADP
easat-10606	314	19	bigrams	bigram	NOUN
easat-10606	314	20	performed	perform	VERB
easat-10606	314	21	well	well	ADV
easat-10606	314	22	for	for	ADP
easat-10606	314	23	conditional	conditional	ADJ
easat-10606	314	24	naïve	naïve	ADJ
easat-10606	314	25	bayes	bayes	NOUN
easat-10606	314	26	(	(	PUNCT
easat-10606	314	27	cnb	cnb	PROPN
easat-10606	314	28	)	)	PUNCT
easat-10606	314	29	,	,	PUNCT
easat-10606	314	30	and	and	CCONJ
easat-10606	314	31	trigrams	trigram	NOUN
easat-10606	314	32	performed	perform	VERB
easat-10606	314	33	relatively	relatively	ADV
easat-10606	314	34	well	well	ADV
easat-10606	314	35	with	with	ADP
easat-10606	314	36	maximum	maximum	ADJ
easat-10606	314	37	entropy	entropy	NOUN
easat-10606	314	38	(	(	PUNCT
easat-10606	314	39	me	i	PRON
easat-10606	314	40	)	)	PUNCT
easat-10606	314	41	.	.	PUNCT
easat-10606	315	1	all	all	DET
easat-10606	315	2	methods	method	NOUN
easat-10606	315	3	except	except	SCONJ
easat-10606	315	4	naïve	naïve	ADJ
easat-10606	315	5	bayes	bayes	NOUN
easat-10606	315	6	(	(	PUNCT
easat-10606	315	7	nb	nb	NOUN
easat-10606	315	8	)	)	PUNCT
easat-10606	315	9	had	have	VERB
easat-10606	315	10	relatively	relatively	ADV
easat-10606	315	11	high	high	ADJ
easat-10606	315	12	accuracy	accuracy	NOUN
easat-10606	315	13	,	,	PUNCT
easat-10606	315	14	with	with	ADP
easat-10606	315	15	the	the	DET
easat-10606	315	16	svm	svm	PROPN
easat-10606	315	17	linear	linear	PROPN
easat-10606	315	18	kernel	kernel	PROPN
easat-10606	315	19	achieving	achieve	VERB
easat-10606	315	20	the	the	DET
easat-10606	315	21	best	good	ADJ
easat-10606	315	22	performance	performance	NOUN
easat-10606	315	23	at	at	ADP
easat-10606	315	24	95	95	NUM
easat-10606	315	25	%	%	NOUN
easat-10606	315	26	and	and	CCONJ
easat-10606	315	27	the	the	DET
easat-10606	315	28	svm	svm	ADJ
easat-10606	315	29	radial	radial	ADJ
easat-10606	315	30	basis	basis	NOUN
easat-10606	315	31	kernel	kernel	NOUN
easat-10606	315	32	the	the	DET
easat-10606	315	33	second	second	ADJ
easat-10606	315	34	best	good	ADJ
easat-10606	315	35	at	at	ADP
easat-10606	315	36	88	88	NUM
easat-10606	315	37	%	%	NOUN
easat-10606	315	38	.	.	PUNCT
easat-10606	316	1	similarly	similarly	ADV
easat-10606	316	2	,	,	PUNCT
easat-10606	316	3	precision	precision	NOUN
easat-10606	316	4	,	,	PUNCT
easat-10606	316	5	recall	recall	NOUN
easat-10606	316	6	,	,	PUNCT
easat-10606	316	7	and	and	CCONJ
easat-10606	316	8	f	f	X
easat-10606	316	9	-	-	PUNCT
easat-10606	316	10	score	score	NOUN
easat-10606	316	11	are	be	AUX
easat-10606	316	12	high	high	ADJ
easat-10606	316	13	in	in	ADP
easat-10606	316	14	both	both	CCONJ
easat-10606	316	15	svm	svm	PROPN
easat-10606	316	16	and	and	CCONJ
easat-10606	316	17	cnb	cnb	PROPN
easat-10606	316	18	models	model	NOUN
easat-10606	316	19	but	but	CCONJ
easat-10606	316	20	low	low	ADJ
easat-10606	316	21	in	in	ADP
easat-10606	316	22	nb	nb	NOUN
easat-10606	317	1	and	and	CCONJ
easat-10606	317	2	me	i	PRON
easat-10606	317	3	models	model	NOUN
easat-10606	317	4	.	.	PUNCT
easat-10606	318	1	svm	svm	PROPN
easat-10606	318	2	and	and	CCONJ
easat-10606	318	3	cnb	cnb	PROPN
easat-10606	318	4	also	also	ADV
easat-10606	318	5	demonstrated	demonstrate	VERB
easat-10606	318	6	good	good	ADJ
easat-10606	318	7	performance	performance	NOUN
easat-10606	318	8	when	when	SCONJ
easat-10606	318	9	the	the	DET
easat-10606	318	10	neutral	neutral	ADJ
easat-10606	318	11	class	class	NOUN
easat-10606	318	12	was	be	AUX
easat-10606	318	13	considered	consider	VERB
easat-10606	318	14	.	.	PUNCT
easat-10606	319	1	in	in	ADP
easat-10606	319	2	the	the	DET
easat-10606	319	3	study	study	NOUN
easat-10606	319	4	of	of	ADP
easat-10606	319	5	predicting	predict	VERB
easat-10606	319	6	student	student	NOUN
easat-10606	319	7	performance	performance	NOUN
easat-10606	319	8	in	in	ADP
easat-10606	319	9	higher	high	ADJ
easat-10606	319	10	education	education	NOUN
easat-10606	319	11	,	,	PUNCT
easat-10606	319	12	jindal	jindal	NOUN
easat-10606	319	13	and	and	CCONJ
easat-10606	319	14	borah	borah	PROPN
easat-10606	319	15	[	[	X
easat-10606	319	16	66	66	NUM
easat-10606	319	17	]	]	PUNCT
easat-10606	319	18	used	use	VERB
easat-10606	319	19	various	various	ADJ
easat-10606	319	20	decision	decision	NOUN
easat-10606	319	21	tree	tree	NOUN
easat-10606	319	22	categories	category	NOUN
easat-10606	319	23	,	,	PUNCT
easat-10606	319	24	such	such	ADJ
easat-10606	319	25	as	as	ADP
easat-10606	319	26	c5.0	c5.0	PROPN
easat-10606	319	27	,	,	PUNCT
easat-10606	319	28	c4.5	c4.5	PROPN
easat-10606	319	29	-	-	PUNCT
easat-10606	319	30	a1	a1	NOUN
easat-10606	319	31	and	and	CCONJ
easat-10606	319	32	c4.5	c4.5	PROPN
easat-10606	319	33	-	-	PUNCT
easat-10606	319	34	a2	a2	PROPN
easat-10606	320	1	[	[	X
easat-10606	320	2	10	10	NUM
easat-10606	320	3	]	]	PUNCT
easat-10606	320	4	.	.	PUNCT
easat-10606	321	1	implemented	implement	VERB
easat-10606	321	2	the	the	DET
easat-10606	321	3	framework	framework	NOUN
easat-10606	321	4	as	as	ADP
easat-10606	321	5	a	a	DET
easat-10606	321	6	prototype	prototype	NOUN
easat-10606	321	7	system	system	NOUN
easat-10606	321	8	,	,	PUNCT
easat-10606	321	9	student	student	NOUN
easat-10606	321	10	feedback	feedback	NOUN
easat-10606	321	11	mining	mining	NOUN
easat-10606	321	12	systems	system	NOUN
easat-10606	321	13	(	(	PUNCT
easat-10606	321	14	sfms	sfms	NOUN
easat-10606	321	15	)	)	PUNCT
easat-10606	321	16	,	,	PUNCT
easat-10606	321	17	and	and	CCONJ
easat-10606	321	18	tested	test	VERB
easat-10606	321	19	it	it	PRON
easat-10606	321	20	on	on	ADP
easat-10606	321	21	selected	select	VERB
easat-10606	321	22	courses	course	NOUN
easat-10606	321	23	using	use	VERB
easat-10606	321	24	the	the	DET
easat-10606	321	25	topic	topic	NOUN
easat-10606	321	26	extraction	extraction	NOUN
easat-10606	321	27	and	and	CCONJ
easat-10606	321	28	sentiment	sentiment	NOUN
easat-10606	321	29	extraction	extraction	NOUN
easat-10606	321	30	stage	stage	NOUN
easat-10606	321	31	methodology	methodology	NOUN
easat-10606	321	32	.	.	PUNCT
easat-10606	322	1	during	during	ADP
easat-10606	322	2	the	the	DET
easat-10606	322	3	sentiment	sentiment	NOUN
easat-10606	322	4	extraction	extraction	NOUN
easat-10606	322	5	stage	stage	NOUN
easat-10606	322	6	,	,	PUNCT
easat-10606	322	7	the	the	DET
easat-10606	322	8	labeled	label	VERB
easat-10606	322	9	data	datum	NOUN
easat-10606	322	10	was	be	AUX
easat-10606	322	11	labeled	label	VERB
easat-10606	322	12	manually	manually	ADV
easat-10606	322	13	for	for	ADP
easat-10606	322	14	training	training	NOUN
easat-10606	322	15	and	and	CCONJ
easat-10606	322	16	tested	test	VERB
easat-10606	322	17	using	use	VERB
easat-10606	322	18	the	the	DET
easat-10606	322	19	lingpipe	lingpipe	ADJ
easat-10606	322	20	tool	tool	NOUN
easat-10606	322	21	that	that	PRON
easat-10606	322	22	adopts	adopt	VERB
easat-10606	322	23	a	a	DET
easat-10606	322	24	logistic	logistic	ADJ
easat-10606	322	25	regression	regression	NOUN
easat-10606	322	26	approach	approach	NOUN
easat-10606	322	27	.	.	PUNCT
easat-10606	323	1	generally	generally	ADV
easat-10606	323	2	,	,	PUNCT
easat-10606	323	3	the	the	DET
easat-10606	323	4	sentiment	sentiment	NOUN
easat-10606	323	5	extraction	extraction	NOUN
easat-10606	323	6	stage	stage	NOUN
easat-10606	323	7	achieved	achieve	VERB
easat-10606	323	8	a	a	DET
easat-10606	323	9	precision	precision	NOUN
easat-10606	323	10	of	of	ADP
easat-10606	323	11	80.1	80.1	NUM
easat-10606	323	12	%	%	NOUN
easat-10606	323	13	,	,	PUNCT
easat-10606	323	14	recall	recall	NOUN
easat-10606	323	15	of	of	ADP
easat-10606	323	16	86.4	86.4	NUM
easat-10606	323	17	%	%	NOUN
easat-10606	323	18	,	,	PUNCT
easat-10606	323	19	and	and	CCONJ
easat-10606	323	20	an	an	DET
easat-10606	323	21	f	f	NOUN
easat-10606	323	22	-	-	PUNCT
easat-10606	323	23	score	score	NOUN
easat-10606	323	24	of	of	ADP
easat-10606	323	25	83.5	83.5	NUM
easat-10606	323	26	%	%	NOUN
easat-10606	323	27	,	,	PUNCT
easat-10606	323	28	which	which	PRON
easat-10606	323	29	is	be	AUX
easat-10606	323	30	significantly	significantly	ADV
easat-10606	323	31	higher	high	ADJ
easat-10606	323	32	than	than	ADP
easat-10606	323	33	the	the	DET
easat-10606	323	34	imdb	imdb	NOUN
easat-10606	323	35	-	-	PUNCT
easat-10606	323	36	trained	train	VERB
easat-10606	323	37	classifier	classifier	NOUN
easat-10606	323	38	.	.	PUNCT
easat-10606	324	1	menaha	menaha	PROPN
easat-10606	324	2	et	et	PROPN
easat-10606	324	3	al	al	PROPN
easat-10606	324	4	.	.	PUNCT
easat-10606	325	1	[	[	X
easat-10606	325	2	15	15	NUM
easat-10606	325	3	]	]	PUNCT
easat-10606	325	4	proposed	propose	VERB
easat-10606	325	5	a	a	DET
easat-10606	325	6	student	student	NOUN
easat-10606	325	7	feedback	feedback	NOUN
easat-10606	325	8	mining	mining	NOUN
easat-10606	325	9	system	system	NOUN
easat-10606	325	10	using	use	VERB
easat-10606	325	11	text	text	NOUN
easat-10606	325	12	analytics	analytic	NOUN
easat-10606	325	13	and	and	CCONJ
easat-10606	325	14	sentiment	sentiment	NOUN
easat-10606	325	15	analysis	analysis	NOUN
easat-10606	325	16	methods	method	NOUN
easat-10606	325	17	.	.	PUNCT
easat-10606	326	1	in	in	ADP
easat-10606	326	2	the	the	DET
easat-10606	326	3	study	study	NOUN
easat-10606	326	4	,	,	PUNCT
easat-10606	326	5	the	the	DET
easat-10606	326	6	authors	author	NOUN
easat-10606	326	7	provided	provide	VERB
easat-10606	326	8	a	a	DET
easat-10606	326	9	deep	deep	ADJ
easat-10606	326	10	analysis	analysis	NOUN
easat-10606	326	11	of	of	ADP
easat-10606	326	12	qualitative	qualitative	ADJ
easat-10606	326	13	feedback	feedback	NOUN
easat-10606	326	14	received	receive	VERB
easat-10606	326	15	from	from	ADP
easat-10606	326	16	students	student	NOUN
easat-10606	326	17	to	to	PART
easat-10606	326	18	improve	improve	VERB
easat-10606	326	19	the	the	DET
easat-10606	326	20	student	student	NOUN
easat-10606	326	21	learning	learning	NOUN
easat-10606	326	22	experience	experience	NOUN
easat-10606	326	23	.	.	PUNCT
easat-10606	327	1	in	in	ADP
easat-10606	327	2	the	the	DET
easat-10606	327	3	experiment	experiment	NOUN
easat-10606	327	4	,	,	PUNCT
easat-10606	327	5	feedback	feedback	NOUN
easat-10606	327	6	comments	comment	NOUN
easat-10606	327	7	about	about	ADP
easat-10606	327	8	each	each	DET
easat-10606	327	9	topic	topic	NOUN
easat-10606	327	10	were	be	AUX
easat-10606	327	11	collected	collect	VERB
easat-10606	327	12	and	and	CCONJ
easat-10606	327	13	grouped	group	VERB
easat-10606	327	14	into	into	ADP
easat-10606	327	15	clusters	cluster	NOUN
easat-10606	327	16	,	,	PUNCT
easat-10606	327	17	along	along	ADP
easat-10606	327	18	with	with	ADP
easat-10606	327	19	other	other	ADJ
easat-10606	327	20	data	datum	NOUN
easat-10606	327	21	preparatory	preparatory	NOUN
easat-10606	327	22	steps	step	NOUN
easat-10606	327	23	such	such	ADJ
easat-10606	327	24	as	as	ADP
easat-10606	327	25	text	text	NOUN
easat-10606	327	26	processing	processing	NOUN
easat-10606	327	27	to	to	ADP
easat-10606	327	28	preprocess	preprocess	NOUN
easat-10606	327	29	and	and	CCONJ
easat-10606	327	30	clean	clean	VERB
easat-10606	327	31	the	the	DET
easat-10606	327	32	raw	raw	ADJ
easat-10606	327	33	data	datum	NOUN
easat-10606	327	34	,	,	PUNCT
easat-10606	327	35	and	and	CCONJ
easat-10606	327	36	features	feature	NOUN
easat-10606	327	37	were	be	AUX
easat-10606	327	38	extracted	extract	VERB
easat-10606	327	39	from	from	ADP
easat-10606	327	40	the	the	DET
easat-10606	327	41	preprocessed	preprocesse	VERB
easat-10606	327	42	documents	document	NOUN
easat-10606	327	43	.	.	PUNCT
easat-10606	328	1	additionally	additionally	ADV
easat-10606	328	2	,	,	PUNCT
easat-10606	328	3	the	the	DET
easat-10606	328	4	comments	comment	NOUN
easat-10606	328	5	were	be	AUX
easat-10606	328	6	classified	classify	VERB
easat-10606	328	7	using	use	VERB
easat-10606	328	8	a	a	DET
easat-10606	328	9	sentiment	sentiment	NOUN
easat-10606	328	10	classifier	classifier	NOUN
easat-10606	328	11	,	,	PUNCT
easat-10606	328	12	and	and	CCONJ
easat-10606	328	13	visualization	visualization	NOUN
easat-10606	328	14	techniques	technique	NOUN
easat-10606	328	15	were	be	AUX
easat-10606	328	16	applied	apply	VERB
easat-10606	328	17	to	to	PART
easat-10606	328	18	represent	represent	VERB
easat-10606	328	19	students	student	NOUN
easat-10606	328	20	'	'	PART
easat-10606	328	21	views	view	NOUN
easat-10606	328	22	.	.	PUNCT
easat-10606	329	1	the	the	DET
easat-10606	329	2	results	result	NOUN
easat-10606	329	3	of	of	ADP
easat-10606	329	4	the	the	DET
easat-10606	329	5	experiment	experiment	NOUN
easat-10606	329	6	showed	show	VERB
easat-10606	329	7	that	that	SCONJ
easat-10606	329	8	the	the	DET
easat-10606	329	9	frequency	frequency	NOUN
easat-10606	329	10	of	of	ADP
easat-10606	329	11	each	each	DET
easat-10606	329	12	word	word	NOUN
easat-10606	329	13	was	be	AUX
easat-10606	329	14	identified	identify	VERB
easat-10606	329	15	,	,	PUNCT
easat-10606	329	16	and	and	CCONJ
easat-10606	329	17	the	the	DET
easat-10606	329	18	topic	topic	NOUN
easat-10606	329	19	with	with	ADP
easat-10606	329	20	the	the	DET
easat-10606	329	21	highest	high	ADJ
easat-10606	329	22	frequency	frequency	NOUN
easat-10606	329	23	count	count	NOUN
easat-10606	329	24	was	be	AUX
easat-10606	329	25	extracted	extract	VERB
easat-10606	329	26	.	.	PUNCT
easat-10606	330	1	similar	similar	ADJ
easat-10606	330	2	comments	comment	NOUN
easat-10606	330	3	within	within	ADP
easat-10606	330	4	each	each	DET
easat-10606	330	5	topic	topic	NOUN
easat-10606	330	6	were	be	AUX
easat-10606	330	7	clustered	cluster	VERB
easat-10606	330	8	,	,	PUNCT
easat-10606	330	9	and	and	CCONJ
easat-10606	330	10	the	the	DET
easat-10606	330	11	clustered	clustered	ADJ
easat-10606	330	12	words	word	NOUN
easat-10606	330	13	were	be	AUX
easat-10606	330	14	classified	classify	VERB
easat-10606	330	15	into	into	ADP
easat-10606	330	16	different	different	ADJ
easat-10606	330	17	orientations	orientation	NOUN
easat-10606	330	18	as	as	ADP
easat-10606	330	19	negative	negative	ADJ
easat-10606	330	20	and	and	CCONJ
easat-10606	330	21	positive	positive	ADJ
easat-10606	330	22	.	.	PUNCT
easat-10606	331	1	moreover	moreover	ADV
easat-10606	331	2	,	,	PUNCT
easat-10606	331	3	the	the	DET
easat-10606	331	4	classified	classified	ADJ
easat-10606	331	5	comments	comment	NOUN
easat-10606	331	6	were	be	AUX
easat-10606	331	7	represented	represent	VERB
easat-10606	331	8	using	use	VERB
easat-10606	331	9	charts	chart	NOUN
easat-10606	331	10	for	for	ADP
easat-10606	331	11	easy	easy	ADJ
easat-10606	331	12	visualization	visualization	NOUN
easat-10606	331	13	.	.	PUNCT
easat-10606	332	1	however	however	ADV
easat-10606	332	2	,	,	PUNCT
easat-10606	332	3	the	the	DET
easat-10606	332	4	feedback	feedback	NOUN
easat-10606	332	5	mining	mining	NOUN
easat-10606	332	6	system	system	NOUN
easat-10606	332	7	built	build	VERB
easat-10606	332	8	can	can	AUX
easat-10606	332	9	also	also	ADV
easat-10606	332	10	adopt	adopt	VERB
easat-10606	332	11	semantic	semantic	ADJ
easat-10606	332	12	similarity	similarity	NOUN
easat-10606	332	13	to	to	PART
easat-10606	332	14	achieve	achieve	VERB
easat-10606	332	15	the	the	DET
easat-10606	332	16	best	good	ADJ
easat-10606	332	17	results	result	NOUN
easat-10606	332	18	.	.	PUNCT
easat-10606	333	1	kandhro	kandhro	PROPN
easat-10606	333	2	et	et	PROPN
easat-10606	333	3	al	al	PROPN
easat-10606	333	4	.	.	PUNCT
easat-10606	334	1	[	[	X
easat-10606	334	2	67	67	NUM
easat-10606	334	3	]	]	PUNCT
easat-10606	334	4	proposed	propose	VERB
easat-10606	334	5	the	the	DET
easat-10606	334	6	sa	sa	PROPN
easat-10606	334	7	model	model	NOUN
easat-10606	334	8	for	for	ADP
easat-10606	334	9	enhancing	enhance	VERB
easat-10606	334	10	the	the	DET
easat-10606	334	11	standard	standard	NOUN
easat-10606	334	12	of	of	ADP
easat-10606	334	13	instruction	instruction	NOUN
easat-10606	334	14	in	in	ADP
easat-10606	334	15	hei	hei	PROPN
easat-10606	334	16	using	use	VERB
easat-10606	334	17	a	a	DET
easat-10606	334	18	variety	variety	NOUN
easat-10606	334	19	of	of	ADP
easat-10606	334	20	ml	ml	NOUN
easat-10606	334	21	techniques	technique	NOUN
easat-10606	334	22	,	,	PUNCT
easat-10606	334	23	including	include	VERB
easat-10606	334	24	svm	svm	PROPN
easat-10606	334	25	,	,	PUNCT
easat-10606	334	26	multinomial	multinomial	ADJ
easat-10606	334	27	naïve	naïve	ADJ
easat-10606	334	28	bayes	bayes	NOUN
easat-10606	334	29	,	,	PUNCT
easat-10606	334	30	random	random	ADJ
easat-10606	334	31	forest	forest	NOUN
easat-10606	334	32	,	,	PUNCT
easat-10606	334	33	mlp	mlp	NOUN
easat-10606	334	34	classifier	classifier	NOUN
easat-10606	334	35	,	,	PUNCT
easat-10606	334	36	and	and	CCONJ
easat-10606	334	37	stochastic	stochastic	ADJ
easat-10606	334	38	gradient	gradient	ADJ
easat-10606	334	39	descent	descent	NOUN
easat-10606	334	40	.	.	PUNCT
easat-10606	335	1	the	the	DET
easat-10606	335	2	study	study	NOUN
easat-10606	335	3	was	be	AUX
easat-10606	335	4	successful	successful	ADJ
easat-10606	335	5	in	in	ADP
easat-10606	335	6	comparing	compare	VERB
easat-10606	335	7	various	various	ADJ
easat-10606	335	8	sa	sa	NOUN
easat-10606	335	9	models	model	NOUN
easat-10606	335	10	to	to	PART
easat-10606	335	11	identify	identify	VERB
easat-10606	335	12	the	the	DET
easat-10606	335	13	best	good	ADJ
easat-10606	335	14	model	model	NOUN
easat-10606	335	15	for	for	ADP
easat-10606	335	16	examining	examine	VERB
easat-10606	335	17	student	student	NOUN
easat-10606	335	18	feedback	feedback	NOUN
easat-10606	335	19	data	datum	NOUN
easat-10606	335	20	in	in	ADP
easat-10606	335	21	the	the	DET
easat-10606	335	22	classroom	classroom	NOUN
easat-10606	335	23	.	.	PUNCT
easat-10606	336	1	jena	jena	PROPN
easat-10606	337	1	[	[	X
easat-10606	337	2	68	68	NUM
easat-10606	337	3	]	]	PUNCT
easat-10606	337	4	conducted	conduct	VERB
easat-10606	337	5	a	a	DET
easat-10606	337	6	study	study	NOUN
easat-10606	337	7	to	to	PART
easat-10606	337	8	examine	examine	VERB
easat-10606	337	9	sentiment	sentiment	NOUN
easat-10606	337	10	polarity	polarity	NOUN
easat-10606	337	11	from	from	ADP
easat-10606	337	12	students	student	NOUN
easat-10606	337	13	'	'	PART
easat-10606	337	14	views	view	NOUN
easat-10606	337	15	and	and	CCONJ
easat-10606	337	16	model	model	NOUN
easat-10606	337	17	students	student	NOUN
easat-10606	337	18	'	'	PART
easat-10606	337	19	emotions	emotion	NOUN
easat-10606	337	20	(	(	PUNCT
easat-10606	337	21	anxiety	anxiety	NOUN
easat-10606	337	22	,	,	PUNCT
easat-10606	337	23	amused	amuse	VERB
easat-10606	337	24	,	,	PUNCT
easat-10606	337	25	confused	confused	ADJ
easat-10606	337	26	,	,	PUNCT
easat-10606	337	27	enthused	enthuse	VERB
easat-10606	337	28	,	,	PUNCT
easat-10606	337	29	excited	excited	ADJ
easat-10606	337	30	,	,	PUNCT
easat-10606	337	31	bored	bored	ADJ
easat-10606	337	32	,	,	PUNCT
easat-10606	337	33	frustrated	frustrate	VERB
easat-10606	337	34	,	,	PUNCT
easat-10606	337	35	etc	etc	X
easat-10606	337	36	.	.	X
easat-10606	337	37	)	)	PUNCT
easat-10606	337	38	using	use	VERB
easat-10606	337	39	machine	machine	NOUN
easat-10606	337	40	learning	learn	VERB
easat-10606	337	41	techniques	technique	NOUN
easat-10606	337	42	such	such	ADJ
easat-10606	337	43	as	as	ADP
easat-10606	337	44	1160	1160	NUM
easat-10606	337	45	edelweiss	edelweiss	PROPN
easat-10606	337	46	applied	apply	VERB
easat-10606	337	47	science	science	NOUN
easat-10606	337	48	and	and	CCONJ
easat-10606	337	49	technology	technology	NOUN
easat-10606	337	50	issn	issn	PROPN
easat-10606	337	51	:	:	PUNCT
easat-10606	337	52	2576	2576	NUM
easat-10606	337	53	-	-	SYM
easat-10606	337	54	8484	8484	NUM
easat-10606	337	55	vol	vol	NOUN
easat-10606	337	56	.	.	PROPN
easat-10606	338	1	9	9	NUM
easat-10606	338	2	,	,	PUNCT
easat-10606	338	3	no	no	INTJ
easat-10606	338	4	.	.	NOUN
easat-10606	338	5	10	10	NUM
easat-10606	338	6	:	:	SYM
easat-10606	338	7	1149	1149	NUM
easat-10606	338	8	-	-	SYM
easat-10606	338	9	1180	1180	NUM
easat-10606	338	10	,	,	PUNCT
easat-10606	338	11	2025	2025	NUM
easat-10606	338	12	doi	doi	NOUN
easat-10606	338	13	:	:	PUNCT
easat-10606	338	14	10.55214/2576	10.55214/2576	NUM
easat-10606	338	15	-	-	SYM
easat-10606	338	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	338	17	©	©	ADP
easat-10606	338	18	2025	2025	NUM
easat-10606	338	19	by	by	ADP
easat-10606	338	20	the	the	DET
easat-10606	338	21	authors	author	NOUN
easat-10606	338	22	;	;	PUNCT
easat-10606	338	23	licensee	licensee	PROPN
easat-10606	338	24	learning	learning	PROPN
easat-10606	338	25	gate	gate	PROPN
easat-10606	338	26	sentiment	sentiment	NOUN
easat-10606	338	27	classifiers	classifier	NOUN
easat-10606	338	28	,	,	PUNCT
easat-10606	338	29	naive	naive	ADJ
easat-10606	338	30	bayes	bayes	NOUN
easat-10606	338	31	(	(	PUNCT
easat-10606	338	32	nb	nb	NOUN
easat-10606	338	33	)	)	PUNCT
easat-10606	338	34	,	,	PUNCT
easat-10606	338	35	and	and	CCONJ
easat-10606	338	36	support	support	VERB
easat-10606	338	37	vector	vector	NOUN
easat-10606	338	38	machines	machine	NOUN
easat-10606	338	39	(	(	PUNCT
easat-10606	338	40	svm	svm	PROPN
easat-10606	338	41	)	)	PUNCT
easat-10606	338	42	based	base	VERB
easat-10606	338	43	on	on	ADP
easat-10606	338	44	big	big	ADJ
easat-10606	338	45	data	datum	NOUN
easat-10606	338	46	frameworks	framework	NOUN
easat-10606	338	47	.	.	PUNCT
easat-10606	339	1	suppala	suppala	PROPN
easat-10606	339	2	and	and	CCONJ
easat-10606	339	3	rao	rao	NOUN
easat-10606	340	1	[	[	X
easat-10606	340	2	69	69	NUM
easat-10606	340	3	]	]	PUNCT
easat-10606	340	4	proposed	propose	VERB
easat-10606	340	5	and	and	CCONJ
easat-10606	340	6	developed	develop	VERB
easat-10606	340	7	a	a	DET
easat-10606	340	8	sentiment	sentiment	NOUN
easat-10606	340	9	analysis	analysis	NOUN
easat-10606	340	10	model	model	NOUN
easat-10606	340	11	with	with	ADP
easat-10606	340	12	the	the	DET
easat-10606	340	13	natural	natural	ADJ
easat-10606	340	14	language	language	NOUN
easat-10606	340	15	toolkit	toolkit	NOUN
easat-10606	340	16	(	(	PUNCT
easat-10606	340	17	nltk	nltk	PROPN
easat-10606	340	18	)	)	PUNCT
easat-10606	340	19	on	on	ADP
easat-10606	340	20	a	a	DET
easat-10606	340	21	dataset	dataset	NOUN
easat-10606	340	22	containing	contain	VERB
easat-10606	340	23	tweets	tweet	NOUN
easat-10606	340	24	,	,	PUNCT
easat-10606	340	25	using	use	VERB
easat-10606	340	26	the	the	DET
easat-10606	340	27	naïve	naïve	ADJ
easat-10606	340	28	bayes	bayes	NOUN
easat-10606	340	29	algorithm	algorithm	PROPN
easat-10606	340	30	.	.	PUNCT
easat-10606	341	1	the	the	DET
easat-10606	341	2	results	result	NOUN
easat-10606	341	3	showed	show	VERB
easat-10606	341	4	the	the	DET
easat-10606	341	5	probability	probability	NOUN
easat-10606	341	6	of	of	ADP
easat-10606	341	7	each	each	DET
easat-10606	341	8	tweet	tweet	NOUN
easat-10606	341	9	being	be	AUX
easat-10606	341	10	either	either	CCONJ
easat-10606	341	11	positive	positive	ADJ
easat-10606	341	12	or	or	CCONJ
easat-10606	341	13	negative	negative	ADJ
easat-10606	341	14	.	.	PUNCT
easat-10606	342	1	[	[	X
easat-10606	342	2	70	70	NUM
easat-10606	342	3	]	]	PUNCT
easat-10606	342	4	proposed	propose	VERB
easat-10606	342	5	a	a	DET
easat-10606	342	6	method	method	NOUN
easat-10606	342	7	to	to	PART
easat-10606	342	8	predict	predict	VERB
easat-10606	342	9	student	student	NOUN
easat-10606	342	10	success	success	NOUN
easat-10606	342	11	/	/	SYM
easat-10606	342	12	performance	performance	NOUN
easat-10606	342	13	in	in	ADP
easat-10606	342	14	an	an	DET
easat-10606	342	15	online	online	ADJ
easat-10606	342	16	learning	learn	VERB
easat-10606	342	17	environment	environment	NOUN
easat-10606	342	18	.	.	PUNCT
easat-10606	343	1	the	the	DET
easat-10606	343	2	method	method	NOUN
easat-10606	343	3	divides	divide	VERB
easat-10606	343	4	the	the	DET
easat-10606	343	5	mathematical	mathematical	ADJ
easat-10606	343	6	material	material	NOUN
easat-10606	343	7	in	in	ADP
easat-10606	343	8	an	an	DET
easat-10606	343	9	online	online	ADJ
easat-10606	343	10	math	math	NOUN
easat-10606	343	11	learning	learn	VERB
easat-10606	343	12	platform	platform	NOUN
easat-10606	343	13	into	into	ADP
easat-10606	343	14	activity	activity	NOUN
easat-10606	343	15	scopes	scope	NOUN
easat-10606	343	16	,	,	PUNCT
easat-10606	343	17	which	which	PRON
easat-10606	343	18	are	be	AUX
easat-10606	343	19	then	then	ADV
easat-10606	343	20	used	use	VERB
easat-10606	343	21	to	to	PART
easat-10606	343	22	train	train	VERB
easat-10606	343	23	classifiers	classifier	NOUN
easat-10606	343	24	such	such	ADJ
easat-10606	343	25	as	as	ADP
easat-10606	343	26	random	random	ADJ
easat-10606	343	27	forest	forest	NOUN
easat-10606	343	28	,	,	PUNCT
easat-10606	343	29	logistic	logistic	ADJ
easat-10606	343	30	regression	regression	NOUN
easat-10606	343	31	,	,	PUNCT
easat-10606	343	32	decision	decision	NOUN
easat-10606	343	33	tree	tree	NOUN
easat-10606	343	34	with	with	ADP
easat-10606	343	35	adaboost	adaboost	ADV
easat-10606	343	36	,	,	PUNCT
easat-10606	343	37	naïve	naïve	ADJ
easat-10606	343	38	bayes	bayes	NOUN
easat-10606	343	39	,	,	PUNCT
easat-10606	343	40	k	k	NOUN
easat-10606	343	41	-	-	PUNCT
easat-10606	343	42	nearest	near	ADJ
easat-10606	343	43	neighbours	neighbour	NOUN
easat-10606	343	44	,	,	PUNCT
easat-10606	343	45	and	and	CCONJ
easat-10606	343	46	stochastic	stochastic	ADJ
easat-10606	343	47	gradient	gradient	ADJ
easat-10606	343	48	descent	descent	NOUN
easat-10606	343	49	.	.	PUNCT
easat-10606	344	1	finally	finally	ADV
easat-10606	344	2	,	,	PUNCT
easat-10606	344	3	an	an	DET
easat-10606	344	4	ensemble	ensemble	ADJ
easat-10606	344	5	of	of	ADP
easat-10606	344	6	these	these	DET
easat-10606	344	7	classifiers	classifier	NOUN
easat-10606	344	8	was	be	AUX
easat-10606	344	9	utilized	utilize	VERB
easat-10606	344	10	to	to	PART
easat-10606	344	11	predict	predict	VERB
easat-10606	344	12	student	student	NOUN
easat-10606	344	13	performance	performance	NOUN
easat-10606	344	14	,	,	PUNCT
easat-10606	344	15	and	and	CCONJ
easat-10606	344	16	the	the	DET
easat-10606	344	17	accuracy	accuracy	NOUN
easat-10606	344	18	rate	rate	NOUN
easat-10606	344	19	was	be	AUX
easat-10606	344	20	73.5	73.5	NUM
easat-10606	344	21	%	%	NOUN
easat-10606	344	22	.	.	PUNCT
easat-10606	345	1	adejo	adejo	ADJ
easat-10606	345	2	and	and	CCONJ
easat-10606	345	3	connolly	connolly	PROPN
easat-10606	346	1	[	[	X
easat-10606	346	2	71	71	NUM
easat-10606	346	3	]	]	PUNCT
easat-10606	346	4	used	use	VERB
easat-10606	346	5	decision	decision	NOUN
easat-10606	346	6	trees	tree	NOUN
easat-10606	346	7	,	,	PUNCT
easat-10606	346	8	support	support	NOUN
easat-10606	346	9	vector	vector	NOUN
easat-10606	346	10	machines	machine	NOUN
easat-10606	346	11	,	,	PUNCT
easat-10606	346	12	artificial	artificial	ADJ
easat-10606	346	13	neural	neural	ADJ
easat-10606	346	14	networks	network	NOUN
easat-10606	346	15	,	,	PUNCT
easat-10606	346	16	and	and	CCONJ
easat-10606	346	17	a	a	DET
easat-10606	346	18	stacking	stack	VERB
easat-10606	346	19	ensemble	ensemble	ADJ
easat-10606	346	20	approach	approach	NOUN
easat-10606	346	21	to	to	PART
easat-10606	346	22	predict	predict	VERB
easat-10606	346	23	student	student	NOUN
easat-10606	346	24	performance	performance	NOUN
easat-10606	346	25	.	.	PUNCT
easat-10606	347	1	the	the	DET
easat-10606	347	2	accuracy	accuracy	NOUN
easat-10606	347	3	,	,	PUNCT
easat-10606	347	4	recall	recall	NOUN
easat-10606	347	5	,	,	PUNCT
easat-10606	347	6	precision	precision	NOUN
easat-10606	347	7	,	,	PUNCT
easat-10606	347	8	and	and	CCONJ
easat-10606	347	9	root	root	NOUN
easat-10606	347	10	mean	mean	VERB
easat-10606	347	11	square	square	ADJ
easat-10606	347	12	error	error	NOUN
easat-10606	347	13	(	(	PUNCT
easat-10606	347	14	rmse	rmse	NOUN
easat-10606	347	15	)	)	PUNCT
easat-10606	347	16	scores	score	NOUN
easat-10606	347	17	for	for	ADP
easat-10606	347	18	the	the	DET
easat-10606	347	19	stacking	stacking	NOUN
easat-10606	347	20	ensemble	ensemble	NOUN
easat-10606	347	21	are	be	AUX
easat-10606	347	22	superior	superior	ADJ
easat-10606	347	23	to	to	ADP
easat-10606	347	24	those	those	PRON
easat-10606	347	25	of	of	ADP
easat-10606	347	26	the	the	DET
easat-10606	347	27	base	base	NOUN
easat-10606	347	28	classifiers	classifier	NOUN
easat-10606	347	29	.	.	PUNCT
easat-10606	348	1	kumari	kumari	PROPN
easat-10606	348	2	et	et	PROPN
easat-10606	348	3	al	al	PROPN
easat-10606	348	4	.	.	PUNCT
easat-10606	349	1	[	[	X
easat-10606	349	2	72	72	NUM
easat-10606	349	3	]	]	PUNCT
easat-10606	349	4	used	use	VERB
easat-10606	349	5	k	k	PROPN
easat-10606	349	6	-	-	PUNCT
easat-10606	349	7	nearest	near	ADJ
easat-10606	349	8	neighbour	neighbour	NOUN
easat-10606	349	9	(	(	PUNCT
easat-10606	349	10	knn	knn	PROPN
easat-10606	349	11	)	)	PUNCT
easat-10606	349	12	,	,	PUNCT
easat-10606	349	13	iterative	iterative	NOUN
easat-10606	349	14	dichotomiser	dichotomiser	NOUN
easat-10606	349	15	3	3	NUM
easat-10606	349	16	(	(	PUNCT
easat-10606	349	17	id3	id3	PROPN
easat-10606	349	18	)	)	PUNCT
easat-10606	349	19	,	,	PUNCT
easat-10606	349	20	naive	naive	ADJ
easat-10606	349	21	bayes	bayes	NOUN
easat-10606	349	22	,	,	PUNCT
easat-10606	349	23	and	and	CCONJ
easat-10606	349	24	svm	svm	VERB
easat-10606	349	25	as	as	SCONJ
easat-10606	349	26	classifiers	classifier	NOUN
easat-10606	349	27	to	to	PART
easat-10606	349	28	assess	assess	VERB
easat-10606	349	29	the	the	DET
easat-10606	349	30	impact	impact	NOUN
easat-10606	349	31	of	of	ADP
easat-10606	349	32	student	student	NOUN
easat-10606	349	33	behaviour	behaviour	NOUN
easat-10606	349	34	characteristics	characteristic	NOUN
easat-10606	349	35	on	on	ADP
easat-10606	349	36	students	student	NOUN
easat-10606	349	37	'	'	PART
easat-10606	349	38	performance	performance	NOUN
easat-10606	349	39	.	.	PUNCT
easat-10606	350	1	similarly	similarly	ADV
easat-10606	350	2	,	,	PUNCT
easat-10606	350	3	the	the	DET
easat-10606	350	4	authors	author	NOUN
easat-10606	350	5	employed	employ	VERB
easat-10606	350	6	the	the	DET
easat-10606	350	7	group	group	NOUN
easat-10606	350	8	strategies	strategy	NOUN
easat-10606	350	9	of	of	ADP
easat-10606	350	10	bagging	bagging	NOUN
easat-10606	350	11	,	,	PUNCT
easat-10606	350	12	boosting	boost	VERB
easat-10606	350	13	,	,	PUNCT
easat-10606	350	14	and	and	CCONJ
easat-10606	350	15	voting	voting	NOUN
easat-10606	350	16	.	.	PUNCT
easat-10606	351	1	in	in	ADP
easat-10606	351	2	comparison	comparison	NOUN
easat-10606	351	3	to	to	ADP
easat-10606	351	4	the	the	DET
easat-10606	351	5	greatest	great	ADJ
easat-10606	351	6	accuracy	accuracy	NOUN
easat-10606	351	7	value	value	NOUN
easat-10606	351	8	of	of	ADP
easat-10606	351	9	88.3	88.3	NUM
easat-10606	351	10	%	%	NOUN
easat-10606	351	11	for	for	ADP
easat-10606	351	12	the	the	DET
easat-10606	351	13	standalone	standalone	NOUN
easat-10606	351	14	classifier	classifier	NOUN
easat-10606	351	15	(	(	PUNCT
easat-10606	351	16	id3	id3	PROPN
easat-10606	351	17	)	)	PUNCT
easat-10606	351	18	,	,	PUNCT
easat-10606	351	19	the	the	DET
easat-10606	351	20	voting	voting	NOUN
easat-10606	351	21	ensemble	ensemble	ADJ
easat-10606	351	22	approach	approach	NOUN
easat-10606	351	23	yielded	yield	VERB
easat-10606	351	24	a	a	DET
easat-10606	351	25	value	value	NOUN
easat-10606	351	26	of	of	ADP
easat-10606	351	27	89.0	89.0	NUM
easat-10606	351	28	%	%	NOUN
easat-10606	351	29	.	.	PUNCT
easat-10606	352	1	in	in	ADP
easat-10606	352	2	a	a	DET
easat-10606	352	3	related	related	ADJ
easat-10606	352	4	study	study	NOUN
easat-10606	352	5	,	,	PUNCT
easat-10606	352	6	ajibade	ajibade	NOUN
easat-10606	352	7	et	et	PROPN
easat-10606	352	8	al	al	PROPN
easat-10606	352	9	.	.	PUNCT
easat-10606	353	1	[	[	X
easat-10606	353	2	73	73	NUM
easat-10606	353	3	]	]	PUNCT
easat-10606	353	4	proposed	propose	VERB
easat-10606	353	5	a	a	DET
easat-10606	353	6	novel	novel	ADJ
easat-10606	353	7	model	model	NOUN
easat-10606	353	8	for	for	ADP
easat-10606	353	9	predicting	predict	VERB
easat-10606	353	10	student	student	NOUN
easat-10606	353	11	success	success	NOUN
easat-10606	353	12	based	base	VERB
easat-10606	353	13	on	on	ADP
easat-10606	353	14	data	datum	NOUN
easat-10606	353	15	mining	mining	NOUN
easat-10606	353	16	techniques	technique	NOUN
easat-10606	353	17	and	and	CCONJ
easat-10606	353	18	students	student	NOUN
easat-10606	353	19	'	'	PART
easat-10606	353	20	new	new	ADJ
easat-10606	353	21	behavioral	behavioral	ADJ
easat-10606	353	22	characteristics	characteristic	NOUN
easat-10606	353	23	.	.	PUNCT
easat-10606	354	1	the	the	DET
easat-10606	354	2	experience	experience	NOUN
easat-10606	354	3	of	of	ADP
easat-10606	354	4	learners	learner	NOUN
easat-10606	354	5	is	be	AUX
easat-10606	354	6	connected	connect	VERB
easat-10606	354	7	to	to	ADP
easat-10606	354	8	these	these	DET
easat-10606	354	9	behavioral	behavioral	ADJ
easat-10606	354	10	characteristics	characteristic	NOUN
easat-10606	354	11	.	.	PUNCT
easat-10606	355	1	the	the	DET
easat-10606	355	2	proposed	propose	VERB
easat-10606	355	3	model	model	NOUN
easat-10606	355	4	in	in	ADP
easat-10606	355	5	this	this	DET
easat-10606	355	6	instance	instance	NOUN
easat-10606	355	7	made	make	VERB
easat-10606	355	8	use	use	NOUN
easat-10606	355	9	of	of	ADP
easat-10606	355	10	a	a	DET
easat-10606	355	11	variety	variety	NOUN
easat-10606	355	12	of	of	ADP
easat-10606	355	13	classifiers	classifier	NOUN
easat-10606	355	14	,	,	PUNCT
easat-10606	355	15	including	include	VERB
easat-10606	355	16	knn	knn	PROPN
easat-10606	355	17	,	,	PUNCT
easat-10606	355	18	svm	svm	ADJ
easat-10606	355	19	,	,	PUNCT
easat-10606	355	20	and	and	CCONJ
easat-10606	355	21	decision	decision	NOUN
easat-10606	355	22	tree	tree	NOUN
easat-10606	355	23	.	.	PUNCT
easat-10606	356	1	ensemble	ensemble	ADJ
easat-10606	356	2	approaches	approach	NOUN
easat-10606	356	3	are	be	AUX
easat-10606	356	4	also	also	ADV
easat-10606	356	5	applied	apply	VERB
easat-10606	356	6	to	to	ADP
easat-10606	356	7	classifiers	classifier	NOUN
easat-10606	356	8	to	to	PART
easat-10606	356	9	enhance	enhance	VERB
easat-10606	356	10	their	their	PRON
easat-10606	356	11	performance	performance	NOUN
easat-10606	356	12	.	.	PUNCT
easat-10606	357	1	these	these	DET
easat-10606	357	2	methods	method	NOUN
easat-10606	357	3	include	include	VERB
easat-10606	357	4	random	random	ADJ
easat-10606	357	5	forest	forest	NOUN
easat-10606	357	6	,	,	PUNCT
easat-10606	357	7	bagging	bagging	NOUN
easat-10606	357	8	,	,	PUNCT
easat-10606	357	9	and	and	CCONJ
easat-10606	357	10	boosting	boost	VERB
easat-10606	357	11	.	.	PUNCT
easat-10606	358	1	the	the	DET
easat-10606	358	2	highest	high	ADJ
easat-10606	358	3	accuracy	accuracy	NOUN
easat-10606	358	4	for	for	ADP
easat-10606	358	5	ensemble	ensemble	ADJ
easat-10606	358	6	approaches	approach	NOUN
easat-10606	358	7	was	be	AUX
easat-10606	358	8	91.5	91.5	NUM
easat-10606	358	9	%	%	NOUN
easat-10606	358	10	.	.	PUNCT
easat-10606	359	1	the	the	DET
easat-10606	359	2	works	work	NOUN
easat-10606	359	3	being	be	AUX
easat-10606	359	4	discussed	discuss	VERB
easat-10606	359	5	use	use	VERB
easat-10606	359	6	ensemble	ensemble	ADJ
easat-10606	359	7	approaches	approach	NOUN
easat-10606	359	8	to	to	PART
easat-10606	359	9	produce	produce	VERB
easat-10606	359	10	encouraging	encouraging	ADJ
easat-10606	359	11	outcomes	outcome	NOUN
easat-10606	359	12	.	.	PUNCT
easat-10606	360	1	comparatively	comparatively	ADV
easat-10606	360	2	,	,	PUNCT
easat-10606	360	3	these	these	DET
easat-10606	360	4	ensemble	ensemble	ADJ
easat-10606	360	5	approaches	approach	NOUN
easat-10606	360	6	yield	yield	VERB
easat-10606	360	7	better	well	ADJ
easat-10606	360	8	results	result	NOUN
easat-10606	360	9	than	than	ADP
easat-10606	360	10	individual	individual	ADJ
easat-10606	360	11	classifiers	classifier	NOUN
easat-10606	360	12	.	.	PUNCT
easat-10606	361	1	according	accord	VERB
easat-10606	361	2	to	to	ADP
easat-10606	361	3	our	our	PRON
easat-10606	361	4	research	research	NOUN
easat-10606	361	5	,	,	PUNCT
easat-10606	361	6	there	there	PRON
easat-10606	361	7	is	be	VERB
easat-10606	361	8	no	no	DET
easat-10606	361	9	information	information	NOUN
easat-10606	361	10	in	in	ADP
easat-10606	361	11	the	the	DET
easat-10606	361	12	literature	literature	NOUN
easat-10606	361	13	regarding	regard	VERB
easat-10606	361	14	how	how	SCONJ
easat-10606	361	15	to	to	PART
easat-10606	361	16	choose	choose	VERB
easat-10606	361	17	and	and	CCONJ
easat-10606	361	18	combine	combine	VERB
easat-10606	361	19	classifiers	classifier	NOUN
easat-10606	361	20	for	for	ADP
easat-10606	361	21	ensemble	ensemble	ADJ
easat-10606	361	22	modeling	modeling	NOUN
easat-10606	361	23	.	.	PUNCT
easat-10606	362	1	it	it	PRON
easat-10606	362	2	appears	appear	VERB
easat-10606	362	3	to	to	PART
easat-10606	362	4	be	be	AUX
easat-10606	362	5	a	a	DET
easat-10606	362	6	random	random	ADJ
easat-10606	362	7	strategy	strategy	NOUN
easat-10606	362	8	for	for	ADP
easat-10606	362	9	this	this	DET
easat-10606	362	10	combination	combination	NOUN
easat-10606	362	11	because	because	SCONJ
easat-10606	362	12	there	there	PRON
easat-10606	362	13	is	be	VERB
easat-10606	362	14	no	no	DET
easat-10606	362	15	clearly	clearly	ADV
easat-10606	362	16	defined	define	VERB
easat-10606	362	17	method	method	NOUN
easat-10606	362	18	for	for	ADP
easat-10606	362	19	combining	combine	VERB
easat-10606	362	20	classifiers	classifier	NOUN
easat-10606	362	21	to	to	PART
easat-10606	362	22	improve	improve	VERB
easat-10606	362	23	outcomes	outcome	NOUN
easat-10606	362	24	.	.	PUNCT
easat-10606	363	1	in	in	ADP
easat-10606	363	2	this	this	DET
easat-10606	363	3	paper	paper	NOUN
easat-10606	363	4	,	,	PUNCT
easat-10606	363	5	we	we	PRON
easat-10606	363	6	propose	propose	VERB
easat-10606	363	7	ensemble	ensemble	ADJ
easat-10606	363	8	strategies	strategy	NOUN
easat-10606	363	9	that	that	PRON
easat-10606	363	10	combine	combine	VERB
easat-10606	363	11	independent	independent	ADJ
easat-10606	363	12	and	and	CCONJ
easat-10606	363	13	supportive	supportive	ADJ
easat-10606	363	14	algorithms	algorithm	NOUN
easat-10606	363	15	from	from	ADP
easat-10606	363	16	the	the	DET
easat-10606	363	17	family	family	NOUN
easat-10606	363	18	of	of	ADP
easat-10606	363	19	machine	machine	NOUN
easat-10606	363	20	learning	learn	VERB
easat-10606	363	21	classification	classification	NOUN
easat-10606	363	22	algorithms	algorithm	NOUN
easat-10606	363	23	.	.	PUNCT
easat-10606	364	1	in	in	ADP
easat-10606	364	2	earlier	early	ADJ
easat-10606	364	3	investigations	investigation	NOUN
easat-10606	364	4	,	,	PUNCT
easat-10606	364	5	this	this	DET
easat-10606	364	6	kind	kind	NOUN
easat-10606	364	7	of	of	ADP
easat-10606	364	8	algorithmic	algorithmic	ADJ
easat-10606	364	9	and	and	CCONJ
easat-10606	364	10	ensemble	ensemble	ADJ
easat-10606	364	11	technique	technique	NOUN
easat-10606	364	12	integration	integration	NOUN
easat-10606	364	13	was	be	AUX
easat-10606	364	14	not	not	PART
easat-10606	364	15	observed	observe	VERB
easat-10606	364	16	.	.	PUNCT
easat-10606	365	1	zounemat	zounemat	NOUN
easat-10606	365	2	-	-	PUNCT
easat-10606	365	3	kermani	kermani	NOUN
easat-10606	365	4	et	et	NOUN
easat-10606	365	5	al	al	PROPN
easat-10606	365	6	.	.	PUNCT
easat-10606	366	1	[	[	X
easat-10606	366	2	74	74	NUM
easat-10606	366	3	]	]	PUNCT
easat-10606	366	4	asserted	assert	VERB
easat-10606	366	5	that	that	SCONJ
easat-10606	366	6	using	use	VERB
easat-10606	366	7	ensemble	ensemble	ADJ
easat-10606	366	8	strategies	strategy	NOUN
easat-10606	366	9	is	be	AUX
easat-10606	366	10	preferable	preferable	ADJ
easat-10606	366	11	to	to	ADP
easat-10606	366	12	using	use	VERB
easat-10606	366	13	individual	individual	ADJ
easat-10606	366	14	machine	machine	NOUN
easat-10606	366	15	learning	learning	NOUN
easat-10606	366	16	models	model	NOUN
easat-10606	366	17	during	during	ADP
easat-10606	366	18	their	their	PRON
easat-10606	366	19	experiment	experiment	NOUN
easat-10606	366	20	in	in	ADP
easat-10606	366	21	the	the	DET
easat-10606	366	22	hydrological	hydrological	ADJ
easat-10606	366	23	domain	domain	NOUN
easat-10606	366	24	.	.	PUNCT
easat-10606	367	1	to	to	PART
easat-10606	367	2	anticipate	anticipate	VERB
easat-10606	367	3	mid	mid	ADJ
easat-10606	367	4	-	-	ADJ
easat-10606	367	5	term	term	ADJ
easat-10606	367	6	streamflow	streamflow	NOUN
easat-10606	367	7	,	,	PUNCT
easat-10606	367	8	li	li	PROPN
easat-10606	367	9	et	et	PROPN
easat-10606	367	10	al	al	PROPN
easat-10606	367	11	.	.	PUNCT
easat-10606	368	1	[	[	X
easat-10606	368	2	75	75	NUM
easat-10606	368	3	]	]	PUNCT
easat-10606	368	4	used	use	VERB
easat-10606	368	5	svr	svr	PROPN
easat-10606	368	6	,	,	PUNCT
easat-10606	368	7	rf	rf	ADJ
easat-10606	368	8	,	,	PUNCT
easat-10606	368	9	elastic	elastic	ADJ
easat-10606	368	10	net	net	ADJ
easat-10606	368	11	regression	regression	NOUN
easat-10606	368	12	(	(	PUNCT
easat-10606	368	13	enr	enr	PROPN
easat-10606	368	14	)	)	PUNCT
easat-10606	368	15	,	,	PUNCT
easat-10606	368	16	and	and	CCONJ
easat-10606	368	17	extreme	extreme	ADJ
easat-10606	368	18	gradient	gradient	NOUN
easat-10606	368	19	boosting	boost	VERB
easat-10606	368	20	(	(	PUNCT
easat-10606	368	21	xgb	xgb	NUM
easat-10606	368	22	)	)	PUNCT
easat-10606	368	23	.	.	PUNCT
easat-10606	369	1	it	it	PRON
easat-10606	369	2	was	be	AUX
easat-10606	369	3	discovered	discover	VERB
easat-10606	369	4	that	that	SCONJ
easat-10606	369	5	the	the	DET
easat-10606	369	6	stacking	stack	VERB
easat-10606	369	7	strategy	strategy	NOUN
easat-10606	369	8	enhanced	enhance	VERB
easat-10606	369	9	the	the	DET
easat-10606	369	10	capability	capability	NOUN
easat-10606	369	11	of	of	ADP
easat-10606	369	12	individual	individual	ADJ
easat-10606	369	13	models	model	NOUN
easat-10606	369	14	.	.	PUNCT
easat-10606	370	1	when	when	SCONJ
easat-10606	370	2	wang	wang	PROPN
easat-10606	370	3	et	et	PROPN
easat-10606	370	4	al	al	PROPN
easat-10606	370	5	.	.	PUNCT
easat-10606	371	1	[	[	X
easat-10606	371	2	76	76	NUM
easat-10606	371	3	]	]	PUNCT
easat-10606	371	4	compared	compare	VERB
easat-10606	371	5	the	the	DET
easat-10606	371	6	stacking	stacking	NOUN
easat-10606	371	7	model	model	NOUN
easat-10606	371	8	to	to	ADP
easat-10606	371	9	individual	individual	ADJ
easat-10606	371	10	models	model	NOUN
easat-10606	371	11	for	for	ADP
easat-10606	371	12	predicting	predict	VERB
easat-10606	371	13	beach	beach	NOUN
easat-10606	371	14	water	water	NOUN
easat-10606	371	15	quality	quality	NOUN
easat-10606	371	16	,	,	PUNCT
easat-10606	371	17	they	they	PRON
easat-10606	371	18	discovered	discover	VERB
easat-10606	371	19	that	that	SCONJ
easat-10606	371	20	the	the	DET
easat-10606	371	21	stacking	stacking	NOUN
easat-10606	371	22	model	model	NOUN
easat-10606	371	23	was	be	AUX
easat-10606	371	24	the	the	DET
easat-10606	371	25	most	most	ADV
easat-10606	371	26	reliable	reliable	ADJ
easat-10606	371	27	for	for	ADP
easat-10606	371	28	predicting	predict	VERB
easat-10606	371	29	three	three	NUM
easat-10606	371	30	beaches	beach	NOUN
easat-10606	371	31	over	over	ADP
easat-10606	371	32	five	five	NUM
easat-10606	371	33	years	year	NOUN
easat-10606	371	34	.	.	PUNCT
easat-10606	372	1	the	the	DET
easat-10606	372	2	promise	promise	NOUN
easat-10606	372	3	of	of	ADP
easat-10606	372	4	stacking	stack	VERB
easat-10606	372	5	ensemble	ensemble	ADJ
easat-10606	372	6	models	model	NOUN
easat-10606	372	7	in	in	ADP
easat-10606	372	8	students	student	NOUN
easat-10606	372	9	'	'	PART
easat-10606	372	10	feedback	feedback	NOUN
easat-10606	372	11	prediction	prediction	NOUN
easat-10606	372	12	has	have	AUX
easat-10606	372	13	,	,	PUNCT
easat-10606	372	14	however	however	ADV
easat-10606	372	15	,	,	PUNCT
easat-10606	372	16	received	receive	VERB
easat-10606	372	17	less	less	ADJ
easat-10606	372	18	attention	attention	NOUN
easat-10606	372	19	.	.	PUNCT
easat-10606	373	1	kesavaram	kesavaram	PROPN
easat-10606	373	2	et	et	PROPN
easat-10606	373	3	al	al	PROPN
easat-10606	373	4	.	.	PUNCT
easat-10606	374	1	[	[	X
easat-10606	374	2	77	77	NUM
easat-10606	374	3	]	]	PUNCT
easat-10606	374	4	proposed	propose	VERB
easat-10606	374	5	a	a	DET
easat-10606	374	6	customer	customer	NOUN
easat-10606	374	7	feedback	feedback	NOUN
easat-10606	374	8	evaluation	evaluation	NOUN
easat-10606	374	9	system	system	NOUN
easat-10606	374	10	for	for	ADP
easat-10606	374	11	a	a	DET
easat-10606	374	12	particular	particular	ADJ
easat-10606	374	13	product	product	NOUN
easat-10606	374	14	.	.	PUNCT
easat-10606	375	1	the	the	DET
easat-10606	375	2	proposed	propose	VERB
easat-10606	375	3	approach	approach	NOUN
easat-10606	375	4	provides	provide	VERB
easat-10606	375	5	a	a	DET
easat-10606	375	6	new	new	ADJ
easat-10606	375	7	score	score	NOUN
easat-10606	375	8	calculation	calculation	NOUN
easat-10606	375	9	algorithm	algorithm	NOUN
easat-10606	375	10	(	(	PUNCT
easat-10606	375	11	sca	sca	NOUN
easat-10606	375	12	)	)	PUNCT
easat-10606	375	13	method	method	NOUN
easat-10606	375	14	for	for	ADP
easat-10606	375	15	score	score	NOUN
easat-10606	375	16	calculation	calculation	NOUN
easat-10606	375	17	based	base	VERB
easat-10606	375	18	on	on	ADP
easat-10606	375	19	various	various	ADJ
easat-10606	375	20	features	feature	NOUN
easat-10606	375	21	from	from	ADP
easat-10606	375	22	customer	customer	NOUN
easat-10606	375	23	opinions	opinion	NOUN
easat-10606	375	24	.	.	PUNCT
easat-10606	376	1	the	the	DET
easat-10606	376	2	methodology	methodology	NOUN
easat-10606	376	3	was	be	AUX
easat-10606	376	4	implemented	implement	VERB
easat-10606	376	5	and	and	CCONJ
easat-10606	376	6	tested	test	VERB
easat-10606	376	7	in	in	ADP
easat-10606	376	8	the	the	DET
easat-10606	376	9	canon	canon	NOUN
easat-10606	376	10	digital	digital	ADJ
easat-10606	376	11	camera	camera	NOUN
easat-10606	376	12	feedback	feedback	NOUN
easat-10606	376	13	dataset	dataset	VERB
easat-10606	376	14	.	.	PUNCT
easat-10606	377	1	in	in	ADP
easat-10606	377	2	the	the	DET
easat-10606	377	3	feedback	feedback	NOUN
easat-10606	377	4	system	system	NOUN
easat-10606	377	5	,	,	PUNCT
easat-10606	377	6	ontology	ontology	NOUN
easat-10606	377	7	-	-	PUNCT
easat-10606	377	8	based	base	VERB
easat-10606	377	9	feature	feature	NOUN
easat-10606	377	10	extraction	extraction	NOUN
easat-10606	377	11	and	and	CCONJ
easat-10606	377	12	a	a	DET
easat-10606	377	13	newly	newly	ADV
easat-10606	377	14	proposed	propose	VERB
easat-10606	377	15	score	score	NOUN
easat-10606	377	16	calculation	calculation	NOUN
easat-10606	377	17	method	method	NOUN
easat-10606	377	18	are	be	AUX
easat-10606	377	19	used	use	VERB
easat-10606	377	20	to	to	PART
easat-10606	377	21	evaluate	evaluate	VERB
easat-10606	377	22	customer	customer	NOUN
easat-10606	377	23	feedback	feedback	NOUN
easat-10606	377	24	into	into	ADP
easat-10606	377	25	positive	positive	ADJ
easat-10606	377	26	and	and	CCONJ
easat-10606	377	27	negative	negative	ADJ
easat-10606	377	28	classes	class	NOUN
easat-10606	377	29	and	and	CCONJ
easat-10606	377	30	rank	rank	VERB
easat-10606	377	31	their	their	PRON
easat-10606	377	32	feature	feature	NOUN
easat-10606	377	33	performances	performance	NOUN
easat-10606	377	34	based	base	VERB
easat-10606	377	35	on	on	ADP
easat-10606	377	36	customer	customer	NOUN
easat-10606	377	37	reviews	review	NOUN
easat-10606	377	38	.	.	PUNCT
easat-10606	378	1	the	the	DET
easat-10606	378	2	sentiment	sentiment	NOUN
easat-10606	378	3	analysis	analysis	NOUN
easat-10606	378	4	system	system	NOUN
easat-10606	378	5	developed	develop	VERB
easat-10606	378	6	is	be	AUX
easat-10606	378	7	used	use	VERB
easat-10606	378	8	to	to	PART
easat-10606	378	9	classify	classify	VERB
easat-10606	378	10	the	the	DET
easat-10606	378	11	comment	comment	NOUN
easat-10606	378	12	data	datum	NOUN
easat-10606	378	13	into	into	ADP
easat-10606	378	14	optimistic	optimistic	ADJ
easat-10606	378	15	and	and	CCONJ
easat-10606	378	16	pessimistic	pessimistic	ADJ
easat-10606	378	17	categories	category	NOUN
easat-10606	378	18	to	to	PART
easat-10606	378	19	evaluate	evaluate	VERB
easat-10606	378	20	the	the	DET
easat-10606	378	21	overall	overall	ADJ
easat-10606	378	22	performance	performance	NOUN
easat-10606	378	23	of	of	ADP
easat-10606	378	24	the	the	DET
easat-10606	378	25	product	product	NOUN
easat-10606	378	26	.	.	PUNCT
easat-10606	379	1	similarly	similarly	ADV
easat-10606	379	2	,	,	PUNCT
easat-10606	379	3	the	the	DET
easat-10606	379	4	sentiwordnet	sentiwordnet	NOUN
easat-10606	379	5	opinion	opinion	NOUN
easat-10606	379	6	word	word	NOUN
easat-10606	379	7	lexicon	lexicon	NOUN
easat-10606	379	8	was	be	AUX
easat-10606	379	9	adopted	adopt	VERB
easat-10606	379	10	to	to	PART
easat-10606	379	11	facilitate	facilitate	VERB
easat-10606	379	12	identifying	identify	VERB
easat-10606	379	13	opinion	opinion	NOUN
easat-10606	379	14	-	-	PUNCT
easat-10606	379	15	correlated	correlate	VERB
easat-10606	379	16	words	word	NOUN
easat-10606	379	17	in	in	ADP
easat-10606	379	18	the	the	DET
easat-10606	379	19	document	document	NOUN
easat-10606	379	20	.	.	PUNCT
easat-10606	380	1	the	the	DET
easat-10606	380	2	performance	performance	NOUN
easat-10606	380	3	estimation	estimation	NOUN
easat-10606	380	4	results	result	NOUN
easat-10606	380	5	show	show	VERB
easat-10606	380	6	that	that	SCONJ
easat-10606	380	7	the	the	DET
easat-10606	380	8	average	average	ADJ
easat-10606	380	9	accuracy	accuracy	NOUN
easat-10606	380	10	of	of	ADP
easat-10606	380	11	correctly	correctly	ADV
easat-10606	380	12	classified	classified	ADJ
easat-10606	380	13	features	feature	NOUN
easat-10606	380	14	was	be	AUX
easat-10606	380	15	found	find	VERB
easat-10606	380	16	to	to	PART
easat-10606	380	17	be	be	AUX
easat-10606	380	18	81.11	81.11	NUM
easat-10606	380	19	%	%	NOUN
easat-10606	380	20	.	.	PUNCT
easat-10606	381	1	1161	1161	NUM
easat-10606	381	2	edelweiss	edelweiss	PROPN
easat-10606	381	3	applied	apply	VERB
easat-10606	381	4	science	science	NOUN
easat-10606	381	5	and	and	CCONJ
easat-10606	381	6	technology	technology	NOUN
easat-10606	381	7	issn	issn	PROPN
easat-10606	381	8	:	:	PUNCT
easat-10606	381	9	2576	2576	NUM
easat-10606	381	10	-	-	SYM
easat-10606	381	11	8484	8484	NUM
easat-10606	381	12	vol	vol	NOUN
easat-10606	381	13	.	.	PROPN
easat-10606	382	1	9	9	NUM
easat-10606	382	2	,	,	PUNCT
easat-10606	382	3	no	no	INTJ
easat-10606	382	4	.	.	NOUN
easat-10606	382	5	10	10	NUM
easat-10606	382	6	:	:	SYM
easat-10606	382	7	1149	1149	NUM
easat-10606	382	8	-	-	SYM
easat-10606	382	9	1180	1180	NUM
easat-10606	382	10	,	,	PUNCT
easat-10606	382	11	2025	2025	NUM
easat-10606	382	12	doi	doi	NOUN
easat-10606	382	13	:	:	PUNCT
easat-10606	382	14	10.55214/2576	10.55214/2576	NUM
easat-10606	382	15	-	-	SYM
easat-10606	382	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	382	17	©	©	ADP
easat-10606	382	18	2025	2025	NUM
easat-10606	382	19	by	by	ADP
easat-10606	382	20	the	the	DET
easat-10606	382	21	authors	author	NOUN
easat-10606	382	22	;	;	PUNCT
easat-10606	382	23	licensee	licensee	PROPN
easat-10606	382	24	learning	learning	NOUN
easat-10606	382	25	gate	gate	PROPN
easat-10606	382	26	nasim	nasim	PROPN
easat-10606	382	27	et	et	PROPN
easat-10606	382	28	al	al	PROPN
easat-10606	382	29	.	.	PUNCT
easat-10606	383	1	[	[	X
easat-10606	383	2	78	78	NUM
easat-10606	383	3	]	]	PUNCT
easat-10606	383	4	presented	present	VERB
easat-10606	383	5	a	a	DET
easat-10606	383	6	combination	combination	NOUN
easat-10606	383	7	of	of	ADP
easat-10606	383	8	machine	machine	NOUN
easat-10606	383	9	learning	learning	NOUN
easat-10606	383	10	and	and	CCONJ
easat-10606	383	11	lexicon	lexicon	NOUN
easat-10606	383	12	-	-	PUNCT
easat-10606	383	13	based	base	VERB
easat-10606	383	14	approaches	approach	NOUN
easat-10606	383	15	for	for	ADP
easat-10606	383	16	sentiment	sentiment	NOUN
easat-10606	383	17	analysis	analysis	NOUN
easat-10606	383	18	of	of	ADP
easat-10606	383	19	students	student	NOUN
easat-10606	383	20	'	'	PART
easat-10606	383	21	feedback	feedback	NOUN
easat-10606	383	22	.	.	PUNCT
easat-10606	384	1	in	in	ADP
easat-10606	384	2	an	an	DET
easat-10606	384	3	attempt	attempt	NOUN
easat-10606	384	4	to	to	PART
easat-10606	384	5	grasp	grasp	VERB
easat-10606	384	6	the	the	DET
easat-10606	384	7	sentiment	sentiment	NOUN
easat-10606	384	8	polarity	polarity	NOUN
easat-10606	384	9	expressed	express	VERB
easat-10606	384	10	in	in	ADP
easat-10606	384	11	textual	textual	ADJ
easat-10606	384	12	feedback	feedback	NOUN
easat-10606	384	13	by	by	ADP
easat-10606	384	14	a	a	DET
easat-10606	384	15	student	student	NOUN
easat-10606	384	16	,	,	PUNCT
easat-10606	384	17	the	the	DET
easat-10606	384	18	authors	author	NOUN
easat-10606	384	19	employed	employ	VERB
easat-10606	384	20	a	a	DET
easat-10606	384	21	hybrid	hybrid	ADJ
easat-10606	384	22	approach	approach	NOUN
easat-10606	384	23	to	to	PART
easat-10606	384	24	build	build	VERB
easat-10606	384	25	the	the	DET
easat-10606	384	26	predictive	predictive	ADJ
easat-10606	384	27	model	model	NOUN
easat-10606	384	28	for	for	ADP
easat-10606	384	29	sentiment	sentiment	NOUN
easat-10606	384	30	analysis	analysis	NOUN
easat-10606	384	31	.	.	PUNCT
easat-10606	385	1	the	the	DET
easat-10606	385	2	authors	author	NOUN
easat-10606	385	3	collected	collect	VERB
easat-10606	385	4	an	an	DET
easat-10606	385	5	unstructured	unstructured	ADJ
easat-10606	385	6	textual	textual	ADJ
easat-10606	385	7	dataset	dataset	NOUN
easat-10606	385	8	comprising	comprise	VERB
easat-10606	385	9	1230	1230	NUM
easat-10606	385	10	comments	comment	NOUN
easat-10606	385	11	extracted	extract	VERB
easat-10606	385	12	from	from	ADP
easat-10606	385	13	the	the	DET
easat-10606	385	14	institution	institution	NOUN
easat-10606	385	15	's	's	PART
easat-10606	385	16	educational	educational	ADJ
easat-10606	385	17	portal	portal	NOUN
easat-10606	385	18	.	.	PUNCT
easat-10606	386	1	the	the	DET
easat-10606	386	2	dataset	dataset	NOUN
easat-10606	386	3	was	be	AUX
easat-10606	386	4	preprocessed	preprocesse	VERB
easat-10606	386	5	using	use	VERB
easat-10606	386	6	python	python	PROPN
easat-10606	386	7	nltk	nltk	PROPN
easat-10606	386	8	libraries	library	NOUN
easat-10606	386	9	and	and	CCONJ
easat-10606	386	10	manually	manually	ADV
easat-10606	386	11	labeled	label	VERB
easat-10606	386	12	with	with	ADP
easat-10606	386	13	sentiment	sentiment	NOUN
easat-10606	386	14	polarity	polarity	NOUN
easat-10606	386	15	labels	label	NOUN
easat-10606	386	16	.	.	PUNCT
easat-10606	387	1	the	the	DET
easat-10606	387	2	labeled	label	VERB
easat-10606	387	3	data	datum	NOUN
easat-10606	387	4	was	be	AUX
easat-10606	387	5	partitioned	partition	VERB
easat-10606	387	6	into	into	ADP
easat-10606	387	7	training	training	NOUN
easat-10606	387	8	and	and	CCONJ
easat-10606	387	9	testing	testing	NOUN
easat-10606	387	10	datasets	dataset	NOUN
easat-10606	387	11	on	on	ADP
easat-10606	387	12	which	which	PRON
easat-10606	387	13	feature	feature	NOUN
easat-10606	387	14	extraction	extraction	NOUN
easat-10606	387	15	methods	method	NOUN
easat-10606	387	16	such	such	ADJ
easat-10606	387	17	as	as	ADP
easat-10606	387	18	unigrams	unigram	NOUN
easat-10606	387	19	,	,	PUNCT
easat-10606	387	20	bigrams	bigram	NOUN
easat-10606	387	21	,	,	PUNCT
easat-10606	387	22	tf	tf	PROPN
easat-10606	387	23	-	-	PUNCT
easat-10606	387	24	idf	idf	PROPN
easat-10606	387	25	,	,	PUNCT
easat-10606	387	26	and	and	CCONJ
easat-10606	387	27	lexicon	lexicon	NOUN
easat-10606	387	28	-	-	PUNCT
easat-10606	387	29	based	base	VERB
easat-10606	387	30	features	feature	NOUN
easat-10606	387	31	were	be	AUX
easat-10606	387	32	applied	apply	VERB
easat-10606	387	33	.	.	PUNCT
easat-10606	388	1	the	the	DET
easat-10606	388	2	hybrid	hybrid	ADJ
easat-10606	388	3	model	model	NOUN
easat-10606	388	4	was	be	AUX
easat-10606	388	5	further	far	ADV
easat-10606	388	6	trained	train	VERB
easat-10606	388	7	using	use	VERB
easat-10606	388	8	random	random	ADJ
easat-10606	388	9	forest	forest	NOUN
easat-10606	388	10	and	and	CCONJ
easat-10606	388	11	svm	svm	ADJ
easat-10606	388	12	algorithms	algorithm	NOUN
easat-10606	388	13	,	,	PUNCT
easat-10606	388	14	respectively	respectively	ADV
easat-10606	388	15	.	.	PUNCT
easat-10606	389	1	results	result	NOUN
easat-10606	389	2	revealed	reveal	VERB
easat-10606	389	3	that	that	SCONJ
easat-10606	389	4	the	the	DET
easat-10606	389	5	best	well	ADV
easat-10606	389	6	-	-	PUNCT
easat-10606	389	7	performing	perform	VERB
easat-10606	389	8	model	model	NOUN
easat-10606	389	9	was	be	AUX
easat-10606	389	10	achieved	achieve	VERB
easat-10606	389	11	using	use	VERB
easat-10606	389	12	tf	tf	PROPN
easat-10606	389	13	-	-	PUNCT
easat-10606	389	14	idf	idf	PROPN
easat-10606	389	15	and	and	CCONJ
easat-10606	389	16	a	a	DET
easat-10606	389	17	domain	domain	NOUN
easat-10606	389	18	-	-	PUNCT
easat-10606	389	19	specific	specific	ADJ
easat-10606	389	20	sentiment	sentiment	NOUN
easat-10606	389	21	lexicon	lexicon	NOUN
easat-10606	389	22	.	.	PUNCT
easat-10606	390	1	however	however	ADV
easat-10606	390	2	,	,	PUNCT
easat-10606	390	3	the	the	DET
easat-10606	390	4	approach	approach	NOUN
easat-10606	390	5	used	use	VERB
easat-10606	390	6	in	in	ADP
easat-10606	390	7	the	the	DET
easat-10606	390	8	study	study	NOUN
easat-10606	390	9	is	be	AUX
easat-10606	390	10	limited	limit	VERB
easat-10606	390	11	to	to	ADP
easat-10606	390	12	the	the	DET
easat-10606	390	13	computation	computation	NOUN
easat-10606	390	14	of	of	ADP
easat-10606	390	15	the	the	DET
easat-10606	390	16	overall	overall	ADJ
easat-10606	390	17	sentiment	sentiment	NOUN
easat-10606	390	18	of	of	ADP
easat-10606	390	19	the	the	DET
easat-10606	390	20	student	student	NOUN
easat-10606	390	21	feedback	feedback	NOUN
easat-10606	390	22	.	.	PUNCT
easat-10606	391	1	sultana	sultana	NOUN
easat-10606	391	2	et	et	PROPN
easat-10606	391	3	al	al	PROPN
easat-10606	391	4	.	.	PUNCT
easat-10606	392	1	[	[	X
easat-10606	392	2	79	79	NUM
easat-10606	392	3	]	]	PUNCT
easat-10606	392	4	presented	present	VERB
easat-10606	392	5	a	a	DET
easat-10606	392	6	prediction	prediction	NOUN
easat-10606	392	7	of	of	ADP
easat-10606	392	8	sentiment	sentiment	NOUN
easat-10606	392	9	analysis	analysis	NOUN
easat-10606	392	10	on	on	ADP
easat-10606	392	11	educational	educational	ADJ
easat-10606	392	12	data	datum	NOUN
easat-10606	392	13	based	base	VERB
easat-10606	392	14	on	on	ADP
easat-10606	392	15	the	the	DET
easat-10606	392	16	deep	deep	ADJ
easat-10606	392	17	learning	learning	NOUN
easat-10606	392	18	approach	approach	NOUN
easat-10606	392	19	.	.	PUNCT
easat-10606	393	1	in	in	ADP
easat-10606	393	2	an	an	DET
easat-10606	393	3	attempt	attempt	NOUN
easat-10606	393	4	to	to	PART
easat-10606	393	5	accomplish	accomplish	VERB
easat-10606	393	6	the	the	DET
easat-10606	393	7	objective	objective	NOUN
easat-10606	393	8	,	,	PUNCT
easat-10606	393	9	a	a	DET
easat-10606	393	10	study	study	NOUN
easat-10606	393	11	on	on	ADP
easat-10606	393	12	the	the	DET
easat-10606	393	13	comparative	comparative	ADJ
easat-10606	393	14	analysis	analysis	NOUN
easat-10606	393	15	of	of	ADP
easat-10606	393	16	eight	eight	NUM
easat-10606	393	17	classifiers	classifier	NOUN
easat-10606	393	18	,	,	PUNCT
easat-10606	393	19	namely	namely	ADV
easat-10606	393	20	svm	svm	PROPN
easat-10606	393	21	,	,	PUNCT
easat-10606	393	22	mlp	mlp	NOUN
easat-10606	393	23	-	-	PUNCT
easat-10606	393	24	deep	deep	ADJ
easat-10606	393	25	learning	learning	NOUN
easat-10606	393	26	,	,	PUNCT
easat-10606	393	27	k	k	PROPN
easat-10606	393	28	-	-	NOUN
easat-10606	393	29	star	star	NOUN
easat-10606	393	30	,	,	PUNCT
easat-10606	393	31	bayes	bayes	PROPN
easat-10606	393	32	net	net	NOUN
easat-10606	393	33	,	,	PUNCT
easat-10606	393	34	simple	simple	ADJ
easat-10606	393	35	logistics	logistic	NOUN
easat-10606	393	36	,	,	PUNCT
easat-10606	393	37	multi	multi	ADJ
easat-10606	393	38	-	-	ADJ
easat-10606	393	39	class	class	ADJ
easat-10606	393	40	classifier	classifier	NOUN
easat-10606	393	41	,	,	PUNCT
easat-10606	393	42	decision	decision	NOUN
easat-10606	393	43	tree	tree	NOUN
easat-10606	393	44	,	,	PUNCT
easat-10606	393	45	and	and	CCONJ
easat-10606	393	46	random	random	ADJ
easat-10606	393	47	forest	forest	NOUN
easat-10606	393	48	,	,	PUNCT
easat-10606	393	49	was	be	AUX
easat-10606	393	50	conducted	conduct	VERB
easat-10606	393	51	on	on	ADP
easat-10606	393	52	the	the	DET
easat-10606	393	53	dataset	dataset	NOUN
easat-10606	393	54	obtained	obtain	VERB
easat-10606	393	55	from	from	ADP
easat-10606	393	56	the	the	DET
easat-10606	393	57	kiteboard	kiteboard	PROPN
easat-10606	393	58	360	360	NUM
easat-10606	393	59	dataset	dataset	ADJ
easat-10606	393	60	repository	repository	NOUN
easat-10606	393	61	to	to	PART
easat-10606	393	62	predict	predict	VERB
easat-10606	393	63	students	student	NOUN
easat-10606	393	64	'	'	PART
easat-10606	393	65	performance	performance	NOUN
easat-10606	393	66	.	.	PUNCT
easat-10606	394	1	in	in	ADP
easat-10606	394	2	the	the	DET
easat-10606	394	3	same	same	ADJ
easat-10606	394	4	vein	vein	NOUN
easat-10606	394	5	,	,	PUNCT
easat-10606	394	6	ten	ten	ADJ
easat-10606	394	7	-	-	ADJ
easat-10606	394	8	fold	fold	ADJ
easat-10606	394	9	crossvalidation	crossvalidation	NOUN
easat-10606	394	10	was	be	AUX
easat-10606	394	11	performed	perform	VERB
easat-10606	394	12	.	.	PUNCT
easat-10606	395	1	the	the	DET
easat-10606	395	2	results	result	NOUN
easat-10606	395	3	indicated	indicate	VERB
easat-10606	395	4	that	that	SCONJ
easat-10606	395	5	svm	svm	PROPN
easat-10606	395	6	and	and	CCONJ
easat-10606	395	7	mlp	mlp	NOUN
easat-10606	395	8	-	-	PUNCT
easat-10606	395	9	deep	deep	ADJ
easat-10606	395	10	learning	learning	NOUN
easat-10606	395	11	were	be	AUX
easat-10606	395	12	the	the	DET
easat-10606	395	13	bestperforming	bestperforme	VERB
easat-10606	395	14	learning	learning	NOUN
easat-10606	395	15	methods	method	NOUN
easat-10606	395	16	,	,	PUNCT
easat-10606	395	17	achieving	achieve	VERB
easat-10606	395	18	78.75	78.75	NUM
easat-10606	395	19	%	%	NOUN
easat-10606	395	20	and	and	CCONJ
easat-10606	395	21	78.33	78.33	NUM
easat-10606	395	22	%	%	NOUN
easat-10606	395	23	accuracy	accuracy	NOUN
easat-10606	395	24	,	,	PUNCT
easat-10606	395	25	respectively	respectively	ADV
easat-10606	395	26	,	,	PUNCT
easat-10606	395	27	as	as	ADV
easat-10606	395	28	well	well	ADV
easat-10606	395	29	as	as	ADP
easat-10606	395	30	good	good	ADJ
easat-10606	395	31	performance	performance	NOUN
easat-10606	395	32	in	in	ADP
easat-10606	395	33	terms	term	NOUN
easat-10606	395	34	of	of	ADP
easat-10606	395	35	their	their	PRON
easat-10606	395	36	specificity	specificity	NOUN
easat-10606	395	37	,	,	PUNCT
easat-10606	395	38	sensitivity	sensitivity	NOUN
easat-10606	395	39	,	,	PUNCT
easat-10606	395	40	and	and	CCONJ
easat-10606	395	41	roc	roc	PROPN
easat-10606	395	42	curve	curve	NOUN
easat-10606	395	43	area	area	NOUN
easat-10606	395	44	.	.	PUNCT
easat-10606	396	1	ramadhani	ramadhani	VERB
easat-10606	396	2	and	and	CCONJ
easat-10606	396	3	goo	goo	VERB
easat-10606	396	4	[	[	X
easat-10606	396	5	80	80	NUM
easat-10606	396	6	]	]	PUNCT
easat-10606	396	7	compared	compare	VERB
easat-10606	396	8	the	the	DET
easat-10606	396	9	multilayer	multilayer	ADJ
easat-10606	396	10	perceptron	perceptron	PROPN
easat-10606	396	11	(	(	PUNCT
easat-10606	396	12	mlp	mlp	PROPN
easat-10606	396	13	)	)	PUNCT
easat-10606	396	14	and	and	CCONJ
easat-10606	396	15	deep	deep	ADJ
easat-10606	396	16	learning	learning	NOUN
easat-10606	396	17	(	(	PUNCT
easat-10606	396	18	dl	dl	PROPN
easat-10606	396	19	)	)	PUNCT
easat-10606	396	20	and	and	CCONJ
easat-10606	396	21	achieved	achieve	VERB
easat-10606	396	22	52.60	52.60	NUM
easat-10606	396	23	%	%	NOUN
easat-10606	396	24	and	and	CCONJ
easat-10606	396	25	75.03	75.03	NUM
easat-10606	396	26	%	%	NOUN
easat-10606	396	27	test	test	NOUN
easat-10606	396	28	accuracy	accuracy	NOUN
easat-10606	396	29	,	,	PUNCT
easat-10606	396	30	respectively	respectively	ADV
easat-10606	396	31	.	.	PUNCT
easat-10606	397	1	altrabsheh	altrabsheh	PROPN
easat-10606	397	2	et	et	PROPN
easat-10606	397	3	al	al	PROPN
easat-10606	397	4	.	.	PUNCT
easat-10606	398	1	[	[	X
easat-10606	398	2	65	65	NUM
easat-10606	398	3	]	]	PUNCT
easat-10606	398	4	employed	employ	VERB
easat-10606	398	5	an	an	DET
easat-10606	398	6	ensemble	ensemble	ADJ
easat-10606	398	7	stacking	stacking	NOUN
easat-10606	398	8	approach	approach	NOUN
easat-10606	398	9	and	and	CCONJ
easat-10606	398	10	base	base	NOUN
easat-10606	398	11	classifiers	classifier	NOUN
easat-10606	398	12	,	,	PUNCT
easat-10606	398	13	namely	namely	ADV
easat-10606	398	14	j48	j48	ADJ
easat-10606	398	15	,	,	PUNCT
easat-10606	398	16	random	random	ADJ
easat-10606	398	17	forest	forest	NOUN
easat-10606	398	18	,	,	PUNCT
easat-10606	398	19	and	and	CCONJ
easat-10606	398	20	random	random	ADJ
easat-10606	398	21	tree	tree	NOUN
easat-10606	398	22	to	to	PART
easat-10606	398	23	evaluate	evaluate	VERB
easat-10606	398	24	student	student	NOUN
easat-10606	398	25	performance	performance	NOUN
easat-10606	398	26	with	with	ADP
easat-10606	398	27	the	the	DET
easat-10606	398	28	aim	aim	NOUN
easat-10606	398	29	of	of	ADP
easat-10606	398	30	enhancing	enhance	VERB
easat-10606	398	31	results	result	NOUN
easat-10606	398	32	.	.	PUNCT
easat-10606	399	1	to	to	PART
easat-10606	399	2	corroborate	corroborate	VERB
easat-10606	399	3	the	the	DET
easat-10606	399	4	improvement	improvement	NOUN
easat-10606	399	5	,	,	PUNCT
easat-10606	399	6	the	the	DET
easat-10606	399	7	smote	smote	ADJ
easat-10606	399	8	technique	technique	NOUN
easat-10606	399	9	was	be	AUX
easat-10606	399	10	applied	apply	VERB
easat-10606	399	11	.	.	PUNCT
easat-10606	400	1	the	the	DET
easat-10606	400	2	findings	finding	NOUN
easat-10606	400	3	revealed	reveal	VERB
easat-10606	400	4	that	that	SCONJ
easat-10606	400	5	the	the	DET
easat-10606	400	6	accuracy	accuracy	NOUN
easat-10606	400	7	obtained	obtain	VERB
easat-10606	400	8	from	from	ADP
easat-10606	400	9	the	the	DET
easat-10606	400	10	base	base	NOUN
easat-10606	400	11	classifiers	classifier	NOUN
easat-10606	400	12	was	be	AUX
easat-10606	400	13	95.65	95.65	NUM
easat-10606	400	14	%	%	NOUN
easat-10606	400	15	,	,	PUNCT
easat-10606	400	16	while	while	SCONJ
easat-10606	400	17	stacking	stack	VERB
easat-10606	400	18	corollary	corollary	NOUN
easat-10606	400	19	achieved	achieve	VERB
easat-10606	400	20	95.96	95.96	NUM
easat-10606	400	21	%	%	NOUN
easat-10606	400	22	and	and	CCONJ
easat-10606	400	23	96.11	96.11	NUM
easat-10606	400	24	%	%	NOUN
easat-10606	400	25	using	use	VERB
easat-10606	400	26	the	the	DET
easat-10606	400	27	smote	smote	ADJ
easat-10606	400	28	technique	technique	NOUN
easat-10606	400	29	.	.	PUNCT
easat-10606	401	1	olabode	olabode	PROPN
easat-10606	401	2	et	et	PROPN
easat-10606	401	3	al	al	PROPN
easat-10606	401	4	.	.	PUNCT
easat-10606	402	1	[	[	X
easat-10606	402	2	81	81	NUM
easat-10606	402	3	]	]	PUNCT
easat-10606	402	4	summarized	summarize	VERB
easat-10606	402	5	research	research	NOUN
easat-10606	402	6	on	on	ADP
easat-10606	402	7	the	the	DET
easat-10606	402	8	application	application	NOUN
easat-10606	402	9	of	of	ADP
easat-10606	402	10	stacked	stack	VERB
easat-10606	402	11	ensemble	ensemble	ADJ
easat-10606	402	12	learning	learning	NOUN
easat-10606	402	13	approaches	approach	NOUN
easat-10606	402	14	in	in	ADP
easat-10606	402	15	developing	develop	VERB
easat-10606	402	16	a	a	DET
easat-10606	402	17	model	model	NOUN
easat-10606	402	18	for	for	ADP
easat-10606	402	19	diagnosing	diagnose	VERB
easat-10606	402	20	head	head	NOUN
easat-10606	402	21	and	and	CCONJ
easat-10606	402	22	neck	neck	NOUN
easat-10606	402	23	cancer	cancer	NOUN
easat-10606	402	24	.	.	PUNCT
easat-10606	403	1	the	the	DET
easat-10606	403	2	stacking	stack	VERB
easat-10606	403	3	ensemble	ensemble	ADJ
easat-10606	403	4	method	method	NOUN
easat-10606	403	5	was	be	AUX
easat-10606	403	6	selected	select	VERB
easat-10606	403	7	,	,	PUNCT
easat-10606	403	8	combining	combine	VERB
easat-10606	403	9	multiple	multiple	ADJ
easat-10606	403	10	classifiers	classifier	NOUN
easat-10606	403	11	,	,	PUNCT
easat-10606	403	12	namely	namely	ADV
easat-10606	403	13	decision	decision	NOUN
easat-10606	403	14	tree	tree	NOUN
easat-10606	403	15	(	(	PUNCT
easat-10606	403	16	c4.5	c4.5	PROPN
easat-10606	403	17	)	)	PUNCT
easat-10606	403	18	,	,	PUNCT
easat-10606	403	19	knn	knn	PROPN
easat-10606	403	20	,	,	PUNCT
easat-10606	403	21	and	and	CCONJ
easat-10606	403	22	naive	naive	ADJ
easat-10606	403	23	bayes	bayes	NOUN
easat-10606	403	24	,	,	PUNCT
easat-10606	403	25	via	via	ADP
easat-10606	403	26	a	a	DET
easat-10606	403	27	meta	meta	ADJ
easat-10606	403	28	-	-	PUNCT
easat-10606	403	29	classifier	classifier	NOUN
easat-10606	403	30	,	,	PUNCT
easat-10606	403	31	logistic	logistic	ADJ
easat-10606	403	32	regression	regression	NOUN
easat-10606	403	33	,	,	PUNCT
easat-10606	403	34	with	with	ADP
easat-10606	403	35	cross	cross	ADJ
easat-10606	403	36	-	-	ADJ
easat-10606	403	37	validation	validation	NOUN
easat-10606	403	38	applied	apply	VERB
easat-10606	403	39	.	.	PUNCT
easat-10606	404	1	when	when	SCONJ
easat-10606	404	2	logistic	logistic	ADJ
easat-10606	404	3	regression	regression	NOUN
easat-10606	404	4	was	be	AUX
easat-10606	404	5	used	use	VERB
easat-10606	404	6	at	at	ADP
easat-10606	404	7	the	the	DET
easat-10606	404	8	meta	meta	ADJ
easat-10606	404	9	-	-	PUNCT
easat-10606	404	10	level	level	NOUN
easat-10606	404	11	on	on	ADP
easat-10606	404	12	the	the	DET
easat-10606	404	13	reduced	reduce	VERB
easat-10606	404	14	dataset	dataset	NOUN
easat-10606	404	15	,	,	PUNCT
easat-10606	404	16	the	the	DET
easat-10606	404	17	results	result	NOUN
easat-10606	404	18	indicated	indicate	VERB
easat-10606	404	19	that	that	SCONJ
easat-10606	404	20	the	the	DET
easat-10606	404	21	chi	chi	ADJ
easat-10606	404	22	-	-	PUNCT
easat-10606	404	23	square	square	ADJ
easat-10606	404	24	method	method	NOUN
easat-10606	404	25	in	in	ADP
easat-10606	404	26	a	a	DET
easat-10606	404	27	stacked	stack	VERB
easat-10606	404	28	ensemble	ensemble	ADJ
easat-10606	404	29	model	model	NOUN
easat-10606	404	30	produced	produce	VERB
easat-10606	404	31	better	well	ADJ
easat-10606	404	32	predictions	prediction	NOUN
easat-10606	404	33	than	than	ADP
easat-10606	404	34	the	the	DET
easat-10606	404	35	consistency	consistency	NOUN
easat-10606	404	36	method	method	NOUN
easat-10606	404	37	.	.	PUNCT
easat-10606	405	1	the	the	DET
easat-10606	405	2	chi	chi	ADJ
easat-10606	405	3	-	-	PUNCT
easat-10606	405	4	square	square	ADJ
easat-10606	405	5	feature	feature	NOUN
easat-10606	405	6	method	method	NOUN
easat-10606	405	7	on	on	ADP
easat-10606	405	8	a	a	DET
easat-10606	405	9	stacked	stack	VERB
easat-10606	405	10	ensemble	ensemble	ADJ
easat-10606	405	11	model	model	NOUN
easat-10606	405	12	can	can	AUX
easat-10606	405	13	be	be	AUX
easat-10606	405	14	used	use	VERB
easat-10606	405	15	for	for	ADP
easat-10606	405	16	the	the	DET
easat-10606	405	17	prediction	prediction	NOUN
easat-10606	405	18	of	of	ADP
easat-10606	405	19	head	head	NOUN
easat-10606	405	20	and	and	CCONJ
easat-10606	405	21	neck	neck	NOUN
easat-10606	405	22	cancer	cancer	NOUN
easat-10606	405	23	.	.	PUNCT
easat-10606	406	1	iyanda	iyanda	PROPN
easat-10606	406	2	and	and	CCONJ
easat-10606	406	3	abegunde	abegunde	ADJ
easat-10606	407	1	[	[	X
easat-10606	407	2	82	82	NUM
easat-10606	407	3	]	]	PUNCT
easat-10606	407	4	employed	employ	VERB
easat-10606	407	5	the	the	DET
easat-10606	407	6	ensemble	ensemble	ADJ
easat-10606	407	7	approach	approach	NOUN
easat-10606	407	8	(	(	PUNCT
easat-10606	407	9	svm	svm	PROPN
easat-10606	407	10	,	,	PUNCT
easat-10606	407	11	nb	nb	INTJ
easat-10606	407	12	,	,	PUNCT
easat-10606	407	13	and	and	CCONJ
easat-10606	407	14	lr	lr	NOUN
easat-10606	407	15	)	)	PUNCT
easat-10606	407	16	to	to	PART
easat-10606	407	17	detect	detect	VERB
easat-10606	407	18	sentiment	sentiment	NOUN
easat-10606	407	19	from	from	ADP
easat-10606	407	20	yorùbá	yorùbá	NOUN
easat-10606	407	21	sentences	sentence	NOUN
easat-10606	407	22	at	at	ADP
easat-10606	407	23	the	the	DET
easat-10606	407	24	sentence	sentence	NOUN
easat-10606	407	25	level	level	NOUN
easat-10606	407	26	to	to	PART
easat-10606	407	27	extract	extract	VERB
easat-10606	407	28	users	user	NOUN
easat-10606	407	29	'	'	PART
easat-10606	407	30	opinions	opinion	NOUN
easat-10606	407	31	.	.	PUNCT
easat-10606	408	1	the	the	DET
easat-10606	408	2	results	result	NOUN
easat-10606	408	3	show	show	VERB
easat-10606	408	4	that	that	SCONJ
easat-10606	408	5	naïve	naïve	ADJ
easat-10606	408	6	bayes	bayes	NOUN
easat-10606	408	7	outperforms	outperform	VERB
easat-10606	408	8	other	other	ADJ
easat-10606	408	9	algorithms	algorithm	NOUN
easat-10606	408	10	in	in	ADP
easat-10606	408	11	sentiment	sentiment	NOUN
easat-10606	408	12	analysis	analysis	NOUN
easat-10606	408	13	for	for	ADP
easat-10606	408	14	yorùbá	yorùbá	NOUN
easat-10606	408	15	sentences	sentence	NOUN
easat-10606	408	16	.	.	PUNCT
easat-10606	409	1	kavitha	kavitha	PROPN
easat-10606	409	2	and	and	CCONJ
easat-10606	409	3	kumar	kumar	PROPN
easat-10606	410	1	[	[	X
easat-10606	410	2	83	83	NUM
easat-10606	410	3	]	]	PUNCT
easat-10606	410	4	discussed	discuss	VERB
easat-10606	410	5	how	how	SCONJ
easat-10606	410	6	sentiment	sentiment	NOUN
easat-10606	410	7	analysis	analysis	NOUN
easat-10606	410	8	can	can	AUX
easat-10606	410	9	be	be	AUX
easat-10606	410	10	performed	perform	VERB
easat-10606	410	11	on	on	ADP
easat-10606	410	12	the	the	DET
easat-10606	410	13	feedback	feedback	NOUN
easat-10606	410	14	collected	collect	VERB
easat-10606	410	15	in	in	ADP
easat-10606	410	16	a	a	DET
easat-10606	410	17	learning	learn	VERB
easat-10606	410	18	management	management	NOUN
easat-10606	410	19	system	system	NOUN
easat-10606	410	20	to	to	PART
easat-10606	410	21	advance	advance	VERB
easat-10606	410	22	the	the	DET
easat-10606	410	23	teaching	teaching	NOUN
easat-10606	410	24	and	and	CCONJ
easat-10606	410	25	learning	learning	NOUN
easat-10606	410	26	process	process	NOUN
easat-10606	410	27	.	.	PUNCT
easat-10606	411	1	this	this	DET
easat-10606	411	2	work	work	NOUN
easat-10606	411	3	presents	present	VERB
easat-10606	411	4	the	the	DET
easat-10606	411	5	experimental	experimental	ADJ
easat-10606	411	6	results	result	NOUN
easat-10606	411	7	obtained	obtain	VERB
easat-10606	411	8	after	after	ADP
easat-10606	411	9	a	a	DET
easat-10606	411	10	comparison	comparison	NOUN
easat-10606	411	11	of	of	ADP
easat-10606	411	12	various	various	ADJ
easat-10606	411	13	feature	feature	NOUN
easat-10606	411	14	selection	selection	NOUN
easat-10606	411	15	methods	method	NOUN
easat-10606	411	16	such	such	ADJ
easat-10606	411	17	as	as	ADP
easat-10606	411	18	chi	chi	NOUN
easat-10606	411	19	-	-	PUNCT
easat-10606	411	20	square	square	ADJ
easat-10606	411	21	,	,	PUNCT
easat-10606	411	22	information	information	NOUN
easat-10606	411	23	gain	gain	NOUN
easat-10606	411	24	,	,	PUNCT
easat-10606	411	25	mutual	mutual	ADJ
easat-10606	411	26	information	information	NOUN
easat-10606	411	27	,	,	PUNCT
easat-10606	411	28	and	and	CCONJ
easat-10606	411	29	symmetrical	symmetrical	ADJ
easat-10606	411	30	uncertainty	uncertainty	NOUN
easat-10606	411	31	.	.	PUNCT
easat-10606	412	1	lalata	lalata	NOUN
easat-10606	412	2	et	et	PROPN
easat-10606	412	3	al	al	PROPN
easat-10606	412	4	.	.	PUNCT
easat-10606	413	1	[	[	X
easat-10606	413	2	84	84	NUM
easat-10606	413	3	]	]	PUNCT
easat-10606	413	4	proposed	propose	VERB
easat-10606	413	5	an	an	DET
easat-10606	413	6	ensemble	ensemble	ADJ
easat-10606	413	7	learning	learning	NOUN
easat-10606	413	8	approach	approach	NOUN
easat-10606	413	9	of	of	ADP
easat-10606	413	10	five	five	NUM
easat-10606	413	11	machine	machine	NOUN
easat-10606	413	12	learning	learn	VERB
easat-10606	413	13	algorithms	algorithm	NOUN
easat-10606	413	14	,	,	PUNCT
easat-10606	413	15	such	such	ADJ
easat-10606	413	16	as	as	ADP
easat-10606	413	17	naive	naive	ADJ
easat-10606	413	18	bayes	bayes	NOUN
easat-10606	413	19	,	,	PUNCT
easat-10606	413	20	logistic	logistic	ADJ
easat-10606	413	21	regression	regression	NOUN
easat-10606	413	22	,	,	PUNCT
easat-10606	413	23	support	support	NOUN
easat-10606	413	24	vector	vector	NOUN
easat-10606	413	25	machine	machine	NOUN
easat-10606	413	26	,	,	PUNCT
easat-10606	413	27	decision	decision	NOUN
easat-10606	413	28	tree	tree	NOUN
easat-10606	413	29	,	,	PUNCT
easat-10606	413	30	and	and	CCONJ
easat-10606	413	31	random	random	ADJ
easat-10606	413	32	forest	forest	NOUN
easat-10606	413	33	classifiers	classifier	NOUN
easat-10606	413	34	,	,	PUNCT
easat-10606	413	35	based	base	VERB
easat-10606	413	36	on	on	ADP
easat-10606	413	37	the	the	DET
easat-10606	413	38	majority	majority	NOUN
easat-10606	413	39	voting	voting	NOUN
easat-10606	413	40	principle	principle	NOUN
easat-10606	413	41	.	.	PUNCT
easat-10606	414	1	in	in	ADP
easat-10606	414	2	the	the	DET
easat-10606	414	3	study	study	NOUN
easat-10606	414	4	,	,	PUNCT
easat-10606	414	5	for	for	ADP
easat-10606	414	6	each	each	DET
easat-10606	414	7	semester	semester	NOUN
easat-10606	414	8	,	,	PUNCT
easat-10606	414	9	student	student	NOUN
easat-10606	414	10	comments	comment	NOUN
easat-10606	414	11	were	be	AUX
easat-10606	414	12	compiled	compile	VERB
easat-10606	414	13	,	,	PUNCT
easat-10606	414	14	and	and	CCONJ
easat-10606	414	15	the	the	DET
easat-10606	414	16	sentiment	sentiment	NOUN
easat-10606	414	17	of	of	ADP
easat-10606	414	18	each	each	DET
easat-10606	414	19	comment	comment	NOUN
easat-10606	414	20	was	be	AUX
easat-10606	414	21	manually	manually	ADV
easat-10606	414	22	classified	classify	VERB
easat-10606	414	23	as	as	ADP
easat-10606	414	24	positive	positive	ADJ
easat-10606	414	25	,	,	PUNCT
easat-10606	414	26	negative	negative	ADJ
easat-10606	414	27	,	,	PUNCT
easat-10606	414	28	or	or	CCONJ
easat-10606	414	29	neutral	neutral	ADJ
easat-10606	414	30	.	.	PUNCT
easat-10606	415	1	the	the	DET
easat-10606	415	2	authors	author	NOUN
easat-10606	415	3	performed	perform	VERB
easat-10606	415	4	individual	individual	ADJ
easat-10606	415	5	classification	classification	NOUN
easat-10606	415	6	and	and	CCONJ
easat-10606	415	7	ensembled	ensemble	VERB
easat-10606	415	8	the	the	DET
easat-10606	415	9	classifier	classifier	NOUN
easat-10606	415	10	output	output	NOUN
easat-10606	415	11	.	.	PUNCT
easat-10606	416	1	the	the	DET
easat-10606	416	2	authors	author	NOUN
easat-10606	416	3	used	use	VERB
easat-10606	416	4	individual	individual	ADJ
easat-10606	416	5	classification	classification	NOUN
easat-10606	416	6	and	and	CCONJ
easat-10606	416	7	combined	combine	VERB
easat-10606	416	8	the	the	DET
easat-10606	416	9	results	result	NOUN
easat-10606	416	10	of	of	ADP
easat-10606	416	11	the	the	DET
easat-10606	416	12	classifiers	classifier	NOUN
easat-10606	416	13	.	.	PUNCT
easat-10606	417	1	all	all	DET
easat-10606	417	2	model	model	NOUN
easat-10606	417	3	ensembles	ensemble	NOUN
easat-10606	417	4	obtained	obtain	VERB
easat-10606	417	5	accuracy	accuracy	NOUN
easat-10606	417	6	,	,	PUNCT
easat-10606	417	7	f1score	f1score	NOUN
easat-10606	417	8	,	,	PUNCT
easat-10606	417	9	and	and	CCONJ
easat-10606	417	10	recall	recall	NOUN
easat-10606	417	11	of	of	ADP
easat-10606	417	12	90.32	90.32	NUM
easat-10606	417	13	%	%	NOUN
easat-10606	417	14	,	,	PUNCT
easat-10606	417	15	93.80	93.80	NUM
easat-10606	417	16	%	%	NOUN
easat-10606	417	17	,	,	PUNCT
easat-10606	417	18	and	and	CCONJ
easat-10606	417	19	90.86	90.86	NUM
easat-10606	417	20	%	%	NOUN
easat-10606	417	21	,	,	PUNCT
easat-10606	417	22	respectively	respectively	ADV
easat-10606	417	23	,	,	PUNCT
easat-10606	417	24	according	accord	VERB
easat-10606	417	25	to	to	ADP
easat-10606	417	26	the	the	DET
easat-10606	417	27	results	result	NOUN
easat-10606	417	28	.	.	PUNCT
easat-10606	418	1	sengar	sengar	NOUN
easat-10606	418	2	et	et	PROPN
easat-10606	418	3	al	al	PROPN
easat-10606	418	4	.	.	PUNCT
easat-10606	419	1	[	[	X
easat-10606	419	2	28	28	NUM
easat-10606	419	3	]	]	PUNCT
easat-10606	419	4	investigated	investigate	VERB
easat-10606	419	5	the	the	DET
easat-10606	419	6	needs	need	NOUN
easat-10606	419	7	of	of	ADP
easat-10606	419	8	teachers	teacher	NOUN
easat-10606	419	9	and	and	CCONJ
easat-10606	419	10	students	student	NOUN
easat-10606	419	11	.	.	PUNCT
easat-10606	420	1	in	in	ADP
easat-10606	420	2	an	an	DET
easat-10606	420	3	attempt	attempt	NOUN
easat-10606	420	4	to	to	PART
easat-10606	420	5	predict	predict	VERB
easat-10606	420	6	student	student	NOUN
easat-10606	420	7	feedback	feedback	NOUN
easat-10606	420	8	coupled	couple	VERB
easat-10606	420	9	with	with	ADP
easat-10606	420	10	the	the	DET
easat-10606	420	11	availability	availability	NOUN
easat-10606	420	12	of	of	ADP
easat-10606	420	13	a	a	DET
easat-10606	420	14	vast	vast	ADJ
easat-10606	420	15	amount	amount	NOUN
easat-10606	420	16	of	of	ADP
easat-10606	420	17	educational	educational	ADJ
easat-10606	420	18	text	text	NOUN
easat-10606	420	19	and	and	CCONJ
easat-10606	420	20	speech	speech	NOUN
easat-10606	420	21	data	datum	NOUN
easat-10606	420	22	,	,	PUNCT
easat-10606	420	23	the	the	DET
easat-10606	420	24	author	author	NOUN
easat-10606	420	25	applied	apply	VERB
easat-10606	420	26	the	the	DET
easat-10606	420	27	nlp	nlp	NOUN
easat-10606	420	28	approach	approach	NOUN
easat-10606	420	29	,	,	PUNCT
easat-10606	420	30	particularly	particularly	ADV
easat-10606	420	31	the	the	DET
easat-10606	420	32	nltk	nltk	NOUN
easat-10606	420	33	and	and	CCONJ
easat-10606	420	34	random	random	ADJ
easat-10606	420	35	forest	forest	NOUN
easat-10606	420	36	techniques	technique	NOUN
easat-10606	420	37	.	.	PUNCT
easat-10606	421	1	in	in	ADP
easat-10606	421	2	the	the	DET
easat-10606	421	3	study	study	NOUN
easat-10606	421	4	,	,	PUNCT
easat-10606	421	5	the	the	DET
easat-10606	421	6	1162	1162	NUM
easat-10606	421	7	edelweiss	edelweiss	PROPN
easat-10606	421	8	applied	apply	VERB
easat-10606	421	9	science	science	NOUN
easat-10606	421	10	and	and	CCONJ
easat-10606	421	11	technology	technology	NOUN
easat-10606	421	12	issn	issn	PROPN
easat-10606	421	13	:	:	PUNCT
easat-10606	421	14	2576	2576	NUM
easat-10606	421	15	-	-	SYM
easat-10606	421	16	8484	8484	NUM
easat-10606	421	17	vol	vol	NOUN
easat-10606	421	18	.	.	PROPN
easat-10606	422	1	9	9	NUM
easat-10606	422	2	,	,	PUNCT
easat-10606	422	3	no	no	INTJ
easat-10606	422	4	.	.	NOUN
easat-10606	422	5	10	10	NUM
easat-10606	422	6	:	:	SYM
easat-10606	422	7	1149	1149	NUM
easat-10606	422	8	-	-	SYM
easat-10606	422	9	1180	1180	NUM
easat-10606	422	10	,	,	PUNCT
easat-10606	422	11	2025	2025	NUM
easat-10606	422	12	doi	doi	NOUN
easat-10606	422	13	:	:	PUNCT
easat-10606	422	14	10.55214/2576	10.55214/2576	NUM
easat-10606	422	15	-	-	SYM
easat-10606	422	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	422	17	©	©	ADP
easat-10606	422	18	2025	2025	NUM
easat-10606	422	19	by	by	ADP
easat-10606	422	20	the	the	DET
easat-10606	422	21	authors	author	NOUN
easat-10606	422	22	;	;	PUNCT
easat-10606	422	23	licensee	licensee	PROPN
easat-10606	422	24	learning	learning	NOUN
easat-10606	422	25	gate	gate	PROPN
easat-10606	422	26	author	author	NOUN
easat-10606	422	27	collected	collect	VERB
easat-10606	422	28	student	student	NOUN
easat-10606	422	29	feedback	feedback	NOUN
easat-10606	422	30	about	about	ADP
easat-10606	422	31	classrooms	classroom	NOUN
easat-10606	422	32	,	,	PUNCT
easat-10606	422	33	exams	exam	NOUN
easat-10606	422	34	,	,	PUNCT
easat-10606	422	35	and	and	CCONJ
easat-10606	422	36	laboratory	laboratory	NOUN
easat-10606	422	37	facilities	facility	NOUN
easat-10606	422	38	.	.	PUNCT
easat-10606	423	1	the	the	DET
easat-10606	423	2	results	result	NOUN
easat-10606	423	3	revealed	reveal	VERB
easat-10606	423	4	that	that	SCONJ
easat-10606	423	5	the	the	DET
easat-10606	423	6	collected	collect	VERB
easat-10606	423	7	data	datum	NOUN
easat-10606	423	8	was	be	AUX
easat-10606	423	9	analyzed	analyze	VERB
easat-10606	423	10	to	to	PART
easat-10606	423	11	be	be	AUX
easat-10606	423	12	positive	positive	ADJ
easat-10606	423	13	,	,	PUNCT
easat-10606	423	14	negative	negative	ADJ
easat-10606	423	15	,	,	PUNCT
easat-10606	423	16	or	or	CCONJ
easat-10606	423	17	neutral	neutral	ADJ
easat-10606	423	18	,	,	PUNCT
easat-10606	423	19	which	which	PRON
easat-10606	423	20	eventually	eventually	ADV
easat-10606	423	21	helped	help	VERB
easat-10606	423	22	in	in	ADP
easat-10606	423	23	improving	improve	VERB
easat-10606	423	24	the	the	DET
easat-10606	423	25	performance	performance	NOUN
easat-10606	423	26	of	of	ADP
easat-10606	423	27	the	the	DET
easat-10606	423	28	institution	institution	NOUN
easat-10606	423	29	and	and	CCONJ
easat-10606	423	30	the	the	DET
easat-10606	423	31	institution	institution	NOUN
easat-10606	423	32	's	's	PART
easat-10606	423	33	learning	learning	NOUN
easat-10606	423	34	and	and	CCONJ
easat-10606	423	35	teaching	teaching	NOUN
easat-10606	423	36	experience	experience	NOUN
easat-10606	423	37	.	.	PUNCT
easat-10606	424	1	wook	wook	VERB
easat-10606	424	2	et	et	PROPN
easat-10606	424	3	al	al	PROPN
easat-10606	424	4	.	.	PUNCT
easat-10606	425	1	[	[	X
easat-10606	425	2	85	85	NUM
easat-10606	425	3	]	]	PUNCT
easat-10606	425	4	investigated	investigate	VERB
easat-10606	425	5	how	how	SCONJ
easat-10606	425	6	data	datum	NOUN
easat-10606	425	7	from	from	ADP
easat-10606	425	8	students	student	NOUN
easat-10606	425	9	'	'	PART
easat-10606	425	10	feedback	feedback	NOUN
easat-10606	425	11	can	can	AUX
easat-10606	425	12	be	be	AUX
easat-10606	425	13	analyzed	analyze	VERB
easat-10606	425	14	to	to	PART
easat-10606	425	15	give	give	VERB
easat-10606	425	16	accurate	accurate	ADJ
easat-10606	425	17	results	result	NOUN
easat-10606	425	18	compared	compare	VERB
easat-10606	425	19	to	to	ADP
easat-10606	425	20	the	the	DET
easat-10606	425	21	use	use	NOUN
easat-10606	425	22	of	of	ADP
easat-10606	425	23	questionnaires	questionnaire	NOUN
easat-10606	425	24	.	.	PUNCT
easat-10606	426	1	in	in	ADP
easat-10606	426	2	an	an	DET
easat-10606	426	3	attempt	attempt	NOUN
easat-10606	426	4	to	to	PART
easat-10606	426	5	achieve	achieve	VERB
easat-10606	426	6	this	this	DET
easat-10606	426	7	aim	aim	NOUN
easat-10606	426	8	,	,	PUNCT
easat-10606	426	9	an	an	DET
easat-10606	426	10	opinion	opinion	NOUN
easat-10606	426	11	mining	mining	NOUN
easat-10606	426	12	(	(	PUNCT
easat-10606	426	13	om	om	PROPN
easat-10606	426	14	)	)	PUNCT
easat-10606	426	15	feedback	feedback	NOUN
easat-10606	426	16	system	system	NOUN
easat-10606	426	17	,	,	PUNCT
easat-10606	426	18	known	know	VERB
easat-10606	426	19	as	as	ADP
easat-10606	426	20	om	om	PROPN
easat-10606	426	21	feedback	feedback	NOUN
easat-10606	426	22	,	,	PUNCT
easat-10606	426	23	was	be	AUX
easat-10606	426	24	developed	develop	VERB
easat-10606	426	25	.	.	PUNCT
easat-10606	427	1	however	however	ADV
easat-10606	427	2	,	,	PUNCT
easat-10606	427	3	only	only	ADV
easat-10606	427	4	a	a	DET
easat-10606	427	5	small	small	ADJ
easat-10606	427	6	number	number	NOUN
easat-10606	427	7	of	of	ADP
easat-10606	427	8	studies	study	NOUN
easat-10606	427	9	have	have	AUX
easat-10606	427	10	utilized	utilize	VERB
easat-10606	427	11	these	these	DET
easat-10606	427	12	features	feature	NOUN
easat-10606	427	13	to	to	PART
easat-10606	427	14	enhance	enhance	VERB
easat-10606	427	15	the	the	DET
easat-10606	427	16	ability	ability	NOUN
easat-10606	427	17	of	of	ADP
easat-10606	427	18	the	the	DET
easat-10606	427	19	opinion	opinion	NOUN
easat-10606	427	20	-	-	PUNCT
easat-10606	427	21	mining	mining	NOUN
easat-10606	427	22	technique	technique	NOUN
easat-10606	427	23	to	to	PART
easat-10606	427	24	analyze	analyze	VERB
easat-10606	427	25	students	student	NOUN
easat-10606	427	26	'	'	PART
easat-10606	427	27	feedback	feedback	NOUN
easat-10606	427	28	.	.	PUNCT
easat-10606	428	1	based	base	VERB
easat-10606	428	2	on	on	ADP
easat-10606	428	3	these	these	DET
easat-10606	428	4	reasons	reason	NOUN
easat-10606	428	5	,	,	PUNCT
easat-10606	428	6	this	this	DET
easat-10606	428	7	study	study	NOUN
easat-10606	428	8	has	have	AUX
easat-10606	428	9	developed	develop	VERB
easat-10606	428	10	a	a	DET
easat-10606	428	11	new	new	ADJ
easat-10606	428	12	system	system	NOUN
easat-10606	428	13	to	to	PART
easat-10606	428	14	analyze	analyze	VERB
easat-10606	428	15	students	student	NOUN
easat-10606	428	16	'	'	PART
easat-10606	428	17	feedback	feedback	NOUN
easat-10606	428	18	,	,	PUNCT
easat-10606	428	19	known	know	VERB
easat-10606	428	20	hereafter	hereafter	ADV
easat-10606	428	21	as	as	ADP
easat-10606	428	22	the	the	DET
easat-10606	428	23	om	om	PROPN
easat-10606	428	24	feedback	feedback	NOUN
easat-10606	428	25	system	system	NOUN
easat-10606	428	26	.	.	PUNCT
easat-10606	429	1	katragadda	katragadda	PROPN
easat-10606	429	2	et	et	PROPN
easat-10606	429	3	al	al	PROPN
easat-10606	429	4	.	.	PUNCT
easat-10606	430	1	[	[	X
easat-10606	430	2	86	86	NUM
easat-10606	430	3	]	]	PUNCT
easat-10606	430	4	explored	explore	VERB
easat-10606	430	5	opinion	opinion	NOUN
easat-10606	430	6	mining	mining	NOUN
easat-10606	430	7	using	use	VERB
easat-10606	430	8	supervised	supervised	ADJ
easat-10606	430	9	learning	learn	VERB
easat-10606	430	10	algorithms	algorithm	NOUN
easat-10606	430	11	to	to	PART
easat-10606	430	12	find	find	VERB
easat-10606	430	13	the	the	DET
easat-10606	430	14	polarity	polarity	NOUN
easat-10606	430	15	of	of	ADP
easat-10606	430	16	student	student	NOUN
easat-10606	430	17	feedback	feedback	NOUN
easat-10606	430	18	based	base	VERB
easat-10606	430	19	on	on	ADP
easat-10606	430	20	predefined	predefine	VERB
easat-10606	430	21	features	feature	NOUN
easat-10606	430	22	of	of	ADP
easat-10606	430	23	teaching	teaching	NOUN
easat-10606	430	24	and	and	CCONJ
easat-10606	430	25	learning	learning	NOUN
easat-10606	430	26	.	.	PUNCT
easat-10606	431	1	in	in	ADP
easat-10606	431	2	addition	addition	NOUN
easat-10606	431	3	to	to	ADP
easat-10606	431	4	providing	provide	VERB
easat-10606	431	5	a	a	DET
easat-10606	431	6	step	step	NOUN
easat-10606	431	7	-	-	PUNCT
easat-10606	431	8	by	by	ADP
easat-10606	431	9	-	-	PUNCT
easat-10606	431	10	step	step	NOUN
easat-10606	431	11	explanation	explanation	NOUN
easat-10606	431	12	of	of	ADP
easat-10606	431	13	the	the	DET
easat-10606	431	14	implementation	implementation	NOUN
easat-10606	431	15	process	process	NOUN
easat-10606	431	16	of	of	ADP
easat-10606	431	17	opinion	opinion	NOUN
easat-10606	431	18	mining	mining	NOUN
easat-10606	431	19	from	from	ADP
easat-10606	431	20	student	student	NOUN
easat-10606	431	21	comments	comment	NOUN
easat-10606	431	22	using	use	VERB
easat-10606	431	23	the	the	DET
easat-10606	431	24	open	open	ADJ
easat-10606	431	25	-	-	PUNCT
easat-10606	431	26	source	source	NOUN
easat-10606	431	27	data	datum	NOUN
easat-10606	431	28	analytics	analytic	NOUN
easat-10606	431	29	tool	tool	NOUN
easat-10606	431	30	known	know	VERB
easat-10606	431	31	as	as	ADP
easat-10606	431	32	rapidminer	rapidminer	NOUN
easat-10606	431	33	,	,	PUNCT
easat-10606	431	34	this	this	DET
easat-10606	431	35	paper	paper	NOUN
easat-10606	431	36	also	also	ADV
easat-10606	431	37	presents	present	VERB
easat-10606	431	38	a	a	DET
easat-10606	431	39	comparative	comparative	ADJ
easat-10606	431	40	performance	performance	NOUN
easat-10606	431	41	study	study	NOUN
easat-10606	431	42	of	of	ADP
easat-10606	431	43	algorithms	algorithm	NOUN
easat-10606	431	44	such	such	ADJ
easat-10606	431	45	as	as	ADP
easat-10606	431	46	svm	svm	ADJ
easat-10606	431	47	,	,	PUNCT
easat-10606	431	48	naïve	naïve	ADJ
easat-10606	431	49	bayes	bayes	PROPN
easat-10606	431	50	,	,	PUNCT
easat-10606	431	51	knn	knn	PROPN
easat-10606	431	52	,	,	PUNCT
easat-10606	431	53	and	and	CCONJ
easat-10606	431	54	neural	neural	ADJ
easat-10606	431	55	network	network	NOUN
easat-10606	431	56	classifiers	classifier	NOUN
easat-10606	431	57	.	.	PUNCT
easat-10606	432	1	the	the	DET
easat-10606	432	2	opinion	opinion	NOUN
easat-10606	432	3	mining	mining	NOUN
easat-10606	432	4	system	system	NOUN
easat-10606	432	5	was	be	AUX
easat-10606	432	6	implemented	implement	VERB
easat-10606	432	7	using	use	VERB
easat-10606	432	8	the	the	DET
easat-10606	432	9	python	python	NOUN
easat-10606	432	10	programming	programming	NOUN
easat-10606	432	11	language	language	NOUN
easat-10606	432	12	.	.	PUNCT
easat-10606	433	1	consequently	consequently	ADV
easat-10606	433	2	,	,	PUNCT
easat-10606	433	3	the	the	DET
easat-10606	433	4	results	result	NOUN
easat-10606	433	5	showed	show	VERB
easat-10606	433	6	that	that	SCONJ
easat-10606	433	7	neural	neural	ADJ
easat-10606	433	8	networks	network	NOUN
easat-10606	433	9	achieved	achieve	VERB
easat-10606	433	10	a	a	DET
easat-10606	433	11	performance	performance	NOUN
easat-10606	433	12	accuracy	accuracy	NOUN
easat-10606	433	13	of	of	ADP
easat-10606	433	14	88	88	NUM
easat-10606	433	15	%	%	NOUN
easat-10606	433	16	,	,	PUNCT
easat-10606	433	17	demonstrating	demonstrate	VERB
easat-10606	433	18	better	well	ADJ
easat-10606	433	19	performance	performance	NOUN
easat-10606	433	20	concerning	concern	VERB
easat-10606	433	21	various	various	ADJ
easat-10606	433	22	evaluation	evaluation	NOUN
easat-10606	433	23	criteria	criterion	NOUN
easat-10606	433	24	for	for	ADP
easat-10606	433	25	the	the	DET
easat-10606	433	26	different	different	ADJ
easat-10606	433	27	algorithms	algorithm	NOUN
easat-10606	433	28	applied	apply	VERB
easat-10606	433	29	.	.	PUNCT
easat-10606	434	1	ahamad	ahamad	PROPN
easat-10606	434	2	and	and	CCONJ
easat-10606	434	3	ahmad	ahmad	PROPN
easat-10606	434	4	[	[	X
easat-10606	434	5	40	40	NUM
easat-10606	434	6	]	]	PUNCT
easat-10606	434	7	employed	employ	VERB
easat-10606	434	8	individual	individual	ADJ
easat-10606	434	9	machine	machine	NOUN
easat-10606	434	10	learning	learn	VERB
easat-10606	434	11	algorithms	algorithm	NOUN
easat-10606	434	12	and	and	CCONJ
easat-10606	434	13	ensemble	ensemble	ADJ
easat-10606	434	14	methods	method	NOUN
easat-10606	434	15	,	,	PUNCT
easat-10606	434	16	particularly	particularly	ADV
easat-10606	434	17	stacking	stack	VERB
easat-10606	434	18	and	and	CCONJ
easat-10606	434	19	voting	voting	NOUN
easat-10606	434	20	ensembles	ensemble	NOUN
easat-10606	434	21	,	,	PUNCT
easat-10606	434	22	to	to	PART
easat-10606	434	23	predict	predict	VERB
easat-10606	434	24	feedback	feedback	NOUN
easat-10606	434	25	from	from	ADP
easat-10606	434	26	students	student	NOUN
easat-10606	434	27	'	'	PART
easat-10606	434	28	assessments	assessment	NOUN
easat-10606	434	29	using	use	VERB
easat-10606	434	30	the	the	DET
easat-10606	434	31	weka	weka	PROPN
easat-10606	434	32	tool	tool	NOUN
easat-10606	434	33	.	.	PUNCT
easat-10606	435	1	the	the	DET
easat-10606	435	2	study	study	NOUN
easat-10606	435	3	indicated	indicate	VERB
easat-10606	435	4	that	that	SCONJ
easat-10606	435	5	the	the	DET
easat-10606	435	6	individual	individual	ADJ
easat-10606	435	7	machine	machine	NOUN
easat-10606	435	8	learning	learning	NOUN
easat-10606	435	9	algorithm	algorithm	NOUN
easat-10606	435	10	,	,	PUNCT
easat-10606	435	11	notably	notably	ADV
easat-10606	435	12	the	the	DET
easat-10606	435	13	multilayer	multilayer	ADJ
easat-10606	435	14	perceptron	perceptron	PROPN
easat-10606	435	15	(	(	PUNCT
easat-10606	435	16	mlp	mlp	PROPN
easat-10606	435	17	)	)	PUNCT
easat-10606	435	18	,	,	PUNCT
easat-10606	435	19	achieved	achieve	VERB
easat-10606	435	20	the	the	DET
easat-10606	435	21	highest	high	ADJ
easat-10606	435	22	accuracy	accuracy	NOUN
easat-10606	435	23	of	of	ADP
easat-10606	435	24	92.30	92.30	NUM
easat-10606	435	25	%	%	NOUN
easat-10606	435	26	compared	compare	VERB
easat-10606	435	27	to	to	ADP
easat-10606	435	28	other	other	ADJ
easat-10606	435	29	algorithms	algorithm	NOUN
easat-10606	435	30	.	.	PUNCT
easat-10606	436	1	additionally	additionally	ADV
easat-10606	436	2	,	,	PUNCT
easat-10606	436	3	these	these	DET
easat-10606	436	4	individual	individual	ADJ
easat-10606	436	5	algorithms	algorithm	NOUN
easat-10606	436	6	were	be	AUX
easat-10606	436	7	combined	combine	VERB
easat-10606	436	8	to	to	PART
easat-10606	436	9	form	form	VERB
easat-10606	436	10	a	a	DET
easat-10606	436	11	stacking	stacking	NOUN
easat-10606	436	12	ensemble	ensemble	ADJ
easat-10606	436	13	(	(	PUNCT
easat-10606	436	14	fuzzy	fuzzy	ADJ
easat-10606	436	15	,	,	PUNCT
easat-10606	436	16	neural	neural	ADJ
easat-10606	436	17	network	network	NOUN
easat-10606	436	18	,	,	PUNCT
easat-10606	436	19	naïve	naïve	ADJ
easat-10606	436	20	bayes	bayes	NOUN
easat-10606	436	21	,	,	PUNCT
easat-10606	436	22	random	random	ADJ
easat-10606	436	23	forest	forest	NOUN
easat-10606	436	24	,	,	PUNCT
easat-10606	436	25	mlp	mlp	PROPN
easat-10606	436	26	)	)	PUNCT
easat-10606	436	27	.	.	PUNCT
easat-10606	437	1	qaiser	qaiser	PROPN
easat-10606	437	2	et	et	PROPN
easat-10606	437	3	al	al	PROPN
easat-10606	437	4	.	.	PUNCT
easat-10606	438	1	[	[	X
easat-10606	438	2	87	87	NUM
easat-10606	438	3	]	]	PUNCT
easat-10606	438	4	employed	employ	VERB
easat-10606	438	5	sentiment	sentiment	NOUN
easat-10606	438	6	analysis	analysis	NOUN
easat-10606	438	7	(	(	PUNCT
easat-10606	438	8	sa	sa	NOUN
easat-10606	438	9	)	)	PUNCT
easat-10606	438	10	predict	predict	VERB
easat-10606	438	11	people	people	NOUN
easat-10606	438	12	's	's	PART
easat-10606	438	13	opinions	opinion	NOUN
easat-10606	438	14	on	on	ADP
easat-10606	438	15	any	any	DET
easat-10606	438	16	topic	topic	NOUN
easat-10606	438	17	of	of	ADP
easat-10606	438	18	interest	interest	NOUN
easat-10606	438	19	.	.	PUNCT
easat-10606	439	1	the	the	DET
easat-10606	439	2	authors	author	NOUN
easat-10606	439	3	reviewed	review	VERB
easat-10606	439	4	and	and	CCONJ
easat-10606	439	5	compared	compare	VERB
easat-10606	439	6	several	several	ADJ
easat-10606	439	7	opinion	opinion	NOUN
easat-10606	439	8	mining	mining	NOUN
easat-10606	439	9	techniques	technique	NOUN
easat-10606	439	10	,	,	PUNCT
easat-10606	439	11	including	include	VERB
easat-10606	439	12	machine	machine	NOUN
easat-10606	439	13	learning	learning	NOUN
easat-10606	439	14	methods	method	NOUN
easat-10606	439	15	such	such	ADJ
easat-10606	439	16	as	as	ADP
easat-10606	439	17	naive	naive	ADJ
easat-10606	439	18	bayes	bayes	NOUN
easat-10606	439	19	(	(	PUNCT
easat-10606	439	20	nb	nb	NOUN
easat-10606	439	21	)	)	PUNCT
easat-10606	439	22	,	,	PUNCT
easat-10606	439	23	decision	decision	NOUN
easat-10606	439	24	tree	tree	NOUN
easat-10606	439	25	(	(	PUNCT
easat-10606	439	26	dt	dt	PROPN
easat-10606	439	27	)	)	PUNCT
easat-10606	439	28	,	,	PUNCT
easat-10606	439	29	support	support	NOUN
easat-10606	439	30	vector	vector	NOUN
easat-10606	439	31	machine	machine	NOUN
easat-10606	439	32	(	(	PUNCT
easat-10606	439	33	svm	svm	PROPN
easat-10606	439	34	)	)	PUNCT
easat-10606	439	35	,	,	PUNCT
easat-10606	439	36	and	and	CCONJ
easat-10606	439	37	deep	deep	ADJ
easat-10606	439	38	learning	learning	NOUN
easat-10606	439	39	.	.	PUNCT
easat-10606	440	1	these	these	DET
easat-10606	440	2	ml	ml	NOUN
easat-10606	440	3	techniques	technique	NOUN
easat-10606	440	4	were	be	AUX
easat-10606	440	5	applied	apply	VERB
easat-10606	440	6	to	to	ADP
easat-10606	440	7	a	a	DET
easat-10606	440	8	single	single	ADJ
easat-10606	440	9	dataset	dataset	NOUN
easat-10606	440	10	to	to	PART
easat-10606	440	11	compare	compare	VERB
easat-10606	440	12	their	their	PRON
easat-10606	440	13	performance	performance	NOUN
easat-10606	440	14	in	in	ADP
easat-10606	440	15	terms	term	NOUN
easat-10606	440	16	of	of	ADP
easat-10606	440	17	accuracy	accuracy	NOUN
easat-10606	440	18	.	.	PUNCT
easat-10606	441	1	the	the	DET
easat-10606	441	2	study	study	NOUN
easat-10606	441	3	found	find	VERB
easat-10606	441	4	that	that	SCONJ
easat-10606	441	5	deep	deep	ADJ
easat-10606	441	6	learning	learning	NOUN
easat-10606	441	7	performed	perform	VERB
easat-10606	441	8	the	the	DET
easat-10606	441	9	best	good	ADJ
easat-10606	441	10	with	with	ADP
easat-10606	441	11	96.41	96.41	NUM
easat-10606	441	12	%	%	NOUN
easat-10606	441	13	accuracy	accuracy	NOUN
easat-10606	441	14	,	,	PUNCT
easat-10606	441	15	followed	follow	VERB
easat-10606	441	16	by	by	ADP
easat-10606	441	17	nb	nb	NOUN
easat-10606	441	18	and	and	CCONJ
easat-10606	441	19	svm	svm	VERB
easat-10606	441	20	with	with	ADP
easat-10606	441	21	87.18	87.18	NUM
easat-10606	441	22	%	%	NOUN
easat-10606	441	23	and	and	CCONJ
easat-10606	441	24	82.05	82.05	NUM
easat-10606	441	25	%	%	NOUN
easat-10606	441	26	,	,	PUNCT
easat-10606	441	27	respectively	respectively	ADV
easat-10606	441	28	.	.	PUNCT
easat-10606	442	1	decision	decision	NOUN
easat-10606	442	2	tree	tree	NOUN
easat-10606	442	3	performed	perform	VERB
easat-10606	442	4	the	the	DET
easat-10606	442	5	poorest	poor	ADJ
easat-10606	442	6	with	with	ADP
easat-10606	442	7	68.21	68.21	NUM
easat-10606	442	8	%	%	NOUN
easat-10606	442	9	accuracy	accuracy	NOUN
easat-10606	442	10	.	.	PUNCT
easat-10606	443	1	nidhi	nidhi	PROPN
easat-10606	443	2	et	et	PROPN
easat-10606	443	3	al	al	PROPN
easat-10606	443	4	.	.	PUNCT
easat-10606	444	1	[	[	X
easat-10606	444	2	88	88	NUM
easat-10606	444	3	]	]	PUNCT
easat-10606	444	4	discussed	discuss	VERB
easat-10606	444	5	the	the	DET
easat-10606	444	6	comparative	comparative	ADJ
easat-10606	444	7	analysis	analysis	NOUN
easat-10606	444	8	of	of	ADP
easat-10606	444	9	heterogeneous	heterogeneous	ADJ
easat-10606	444	10	ensemble	ensemble	ADJ
easat-10606	444	11	learning	learning	NOUN
easat-10606	444	12	using	use	VERB
easat-10606	444	13	feature	feature	NOUN
easat-10606	444	14	selection	selection	NOUN
easat-10606	444	15	techniques	technique	NOUN
easat-10606	444	16	for	for	ADP
easat-10606	444	17	predicting	predict	VERB
easat-10606	444	18	student	student	NOUN
easat-10606	444	19	performance	performance	NOUN
easat-10606	444	20	.	.	PUNCT
easat-10606	445	1	the	the	DET
easat-10606	445	2	author	author	NOUN
easat-10606	445	3	employed	employ	VERB
easat-10606	445	4	a	a	DET
easat-10606	445	5	hybrid	hybrid	ADJ
easat-10606	445	6	or	or	CCONJ
easat-10606	445	7	heterogeneous	heterogeneous	ADJ
easat-10606	445	8	approach	approach	NOUN
easat-10606	445	9	of	of	ADP
easat-10606	445	10	correlation	correlation	NOUN
easat-10606	445	11	attribute	attribute	NOUN
easat-10606	445	12	evaluation	evaluation	NOUN
easat-10606	445	13	,	,	PUNCT
easat-10606	445	14	ensemble	ensemble	ADJ
easat-10606	445	15	learning	learning	NOUN
easat-10606	445	16	,	,	PUNCT
easat-10606	445	17	namely	namely	ADV
easat-10606	445	18	stacking	stacking	NOUN
easat-10606	445	19	,	,	PUNCT
easat-10606	445	20	voting	voting	NOUN
easat-10606	445	21	,	,	PUNCT
easat-10606	445	22	and	and	CCONJ
easat-10606	445	23	multischeme	multischeme	NOUN
easat-10606	445	24	,	,	PUNCT
easat-10606	445	25	in	in	ADP
easat-10606	445	26	conjunction	conjunction	NOUN
easat-10606	445	27	with	with	ADP
easat-10606	445	28	seven	seven	NUM
easat-10606	445	29	other	other	ADJ
easat-10606	445	30	machine	machine	NOUN
easat-10606	445	31	learning	learn	VERB
easat-10606	445	32	algorithms	algorithm	NOUN
easat-10606	445	33	to	to	PART
easat-10606	445	34	improve	improve	VERB
easat-10606	445	35	accuracy	accuracy	NOUN
easat-10606	445	36	.	.	PUNCT
easat-10606	446	1	the	the	DET
easat-10606	446	2	results	result	NOUN
easat-10606	446	3	were	be	AUX
easat-10606	446	4	validated	validate	VERB
easat-10606	446	5	using	use	VERB
easat-10606	446	6	the	the	DET
easat-10606	446	7	k	k	ADJ
easat-10606	446	8	-	-	ADJ
easat-10606	446	9	fold	fold	ADJ
easat-10606	446	10	cross	cross	ADJ
easat-10606	446	11	-	-	ADJ
easat-10606	446	12	validation	validation	ADJ
easat-10606	446	13	method	method	NOUN
easat-10606	446	14	to	to	PART
easat-10606	446	15	evaluate	evaluate	VERB
easat-10606	446	16	the	the	DET
easat-10606	446	17	performance	performance	NOUN
easat-10606	446	18	of	of	ADP
easat-10606	446	19	the	the	DET
easat-10606	446	20	classification	classification	NOUN
easat-10606	446	21	algorithms	algorithm	NOUN
easat-10606	446	22	.	.	PUNCT
easat-10606	447	1	verma	verma	PROPN
easat-10606	447	2	et	et	PROPN
easat-10606	447	3	al	al	PROPN
easat-10606	447	4	.	.	PUNCT
easat-10606	448	1	[	[	X
easat-10606	448	2	89	89	NUM
easat-10606	448	3	]	]	PUNCT
easat-10606	448	4	proposed	propose	VERB
easat-10606	448	5	a	a	DET
easat-10606	448	6	scalable	scalable	ADJ
easat-10606	448	7	machine	machine	NOUN
easat-10606	448	8	learning	learning	NOUN
easat-10606	448	9	-	-	PUNCT
easat-10606	448	10	based	base	VERB
easat-10606	448	11	ensemble	ensemble	ADJ
easat-10606	448	12	approach	approach	NOUN
easat-10606	448	13	to	to	PART
easat-10606	448	14	predict	predict	VERB
easat-10606	448	15	student	student	NOUN
easat-10606	448	16	performance	performance	NOUN
easat-10606	448	17	to	to	PART
easat-10606	448	18	enhance	enhance	VERB
easat-10606	448	19	the	the	DET
easat-10606	448	20	accuracy	accuracy	NOUN
easat-10606	448	21	of	of	ADP
easat-10606	448	22	identifying	identify	VERB
easat-10606	448	23	students	student	NOUN
easat-10606	448	24	at	at	ADP
easat-10606	448	25	risk	risk	NOUN
easat-10606	448	26	.	.	PUNCT
easat-10606	449	1	the	the	DET
easat-10606	449	2	author	author	NOUN
easat-10606	449	3	employed	employ	VERB
easat-10606	449	4	five	five	NUM
easat-10606	449	5	singlesupervised	singlesupervise	VERB
easat-10606	449	6	machine	machine	NOUN
easat-10606	449	7	learning	learn	VERB
easat-10606	449	8	techniques	technique	NOUN
easat-10606	449	9	:	:	PUNCT
easat-10606	449	10	decision	decision	NOUN
easat-10606	449	11	tree	tree	NOUN
easat-10606	449	12	,	,	PUNCT
easat-10606	449	13	naïve	naïve	ADJ
easat-10606	449	14	bayes	bayes	NOUN
easat-10606	449	15	,	,	PUNCT
easat-10606	449	16	k	k	NOUN
easat-10606	449	17	-	-	PUNCT
easat-10606	449	18	nearest	near	ADJ
easat-10606	449	19	neighbor	neighbor	NOUN
easat-10606	449	20	,	,	PUNCT
easat-10606	449	21	support	support	NOUN
easat-10606	449	22	vector	vector	NOUN
easat-10606	449	23	machine	machine	NOUN
easat-10606	449	24	,	,	PUNCT
easat-10606	449	25	and	and	CCONJ
easat-10606	449	26	logistic	logistic	ADJ
easat-10606	449	27	regression	regression	NOUN
easat-10606	449	28	(	(	PUNCT
easat-10606	449	29	ensemble	ensemble	ADJ
easat-10606	449	30	model	model	NOUN
easat-10606	449	31	)	)	PUNCT
easat-10606	449	32	that	that	PRON
easat-10606	449	33	integrates	integrate	VERB
easat-10606	449	34	the	the	DET
easat-10606	449	35	most	most	ADV
easat-10606	449	36	suitable	suitable	ADJ
easat-10606	449	37	data	datum	NOUN
easat-10606	449	38	mining	mining	NOUN
easat-10606	449	39	technique	technique	NOUN
easat-10606	449	40	.	.	PUNCT
easat-10606	450	1	furthermore	furthermore	ADV
easat-10606	450	2	,	,	PUNCT
easat-10606	450	3	the	the	DET
easat-10606	450	4	performance	performance	NOUN
easat-10606	450	5	of	of	ADP
easat-10606	450	6	the	the	DET
easat-10606	450	7	algorithms	algorithm	NOUN
easat-10606	450	8	was	be	AUX
easat-10606	450	9	evaluated	evaluate	VERB
easat-10606	450	10	with	with	ADP
easat-10606	450	11	and	and	CCONJ
easat-10606	450	12	without	without	ADP
easat-10606	450	13	resampling	resample	VERB
easat-10606	450	14	methods	method	NOUN
easat-10606	450	15	such	such	ADJ
easat-10606	450	16	as	as	ADP
easat-10606	450	17	synthetic	synthetic	ADJ
easat-10606	450	18	minority	minority	NOUN
easat-10606	450	19	oversampling	oversample	VERB
easat-10606	450	20	technique	technique	NOUN
easat-10606	450	21	(	(	PUNCT
easat-10606	450	22	smote	smote	NOUN
easat-10606	450	23	)	)	PUNCT
easat-10606	450	24	,	,	PUNCT
easat-10606	450	25	borderline	borderline	NOUN
easat-10606	450	26	smote	smote	NOUN
easat-10606	450	27	,	,	PUNCT
easat-10606	450	28	svm	svm	ADJ
easat-10606	450	29	-	-	ADJ
easat-10606	450	30	smote	smote	ADJ
easat-10606	450	31	,	,	PUNCT
easat-10606	450	32	and	and	CCONJ
easat-10606	450	33	adaptive	adaptive	ADJ
easat-10606	450	34	synthetic	synthetic	NOUN
easat-10606	450	35	(	(	PUNCT
easat-10606	450	36	adasyn	adasyn	PROPN
easat-10606	450	37	)	)	PUNCT
easat-10606	450	38	.	.	PUNCT
easat-10606	451	1	however	however	ADV
easat-10606	451	2	,	,	PUNCT
easat-10606	451	3	the	the	DET
easat-10606	451	4	random	random	ADJ
easat-10606	451	5	hold	hold	VERB
easat-10606	451	6	-	-	PUNCT
easat-10606	451	7	out	out	ADP
easat-10606	451	8	method	method	NOUN
easat-10606	451	9	and	and	CCONJ
easat-10606	451	10	gridsearchcv	gridsearchcv	NOUN
easat-10606	451	11	were	be	AUX
easat-10606	451	12	used	use	VERB
easat-10606	451	13	as	as	ADP
easat-10606	451	14	model	model	NOUN
easat-10606	451	15	validation	validation	NOUN
easat-10606	451	16	techniques	technique	NOUN
easat-10606	451	17	and	and	CCONJ
easat-10606	451	18	for	for	ADP
easat-10606	451	19	hyper	hyper	ADJ
easat-10606	451	20	-	-	ADJ
easat-10606	451	21	parameter	parameter	ADJ
easat-10606	451	22	tuning	tuning	NOUN
easat-10606	451	23	,	,	PUNCT
easat-10606	451	24	respectively	respectively	ADV
easat-10606	451	25	.	.	PUNCT
easat-10606	452	1	the	the	DET
easat-10606	452	2	results	result	NOUN
easat-10606	452	3	indicated	indicate	VERB
easat-10606	452	4	that	that	SCONJ
easat-10606	452	5	logistic	logistic	ADJ
easat-10606	452	6	regression	regression	NOUN
easat-10606	452	7	was	be	AUX
easat-10606	452	8	the	the	DET
easat-10606	452	9	best	well	ADV
easat-10606	452	10	-	-	PUNCT
easat-10606	452	11	performing	perform	VERB
easat-10606	452	12	classifier	classifier	NOUN
easat-10606	452	13	across	across	ADP
easat-10606	452	14	all	all	DET
easat-10606	452	15	balanced	balanced	ADJ
easat-10606	452	16	datasets	dataset	NOUN
easat-10606	452	17	generated	generate	VERB
easat-10606	452	18	using	use	VERB
easat-10606	452	19	the	the	DET
easat-10606	452	20	four	four	NUM
easat-10606	452	21	resampling	resample	VERB
easat-10606	452	22	techniques	technique	NOUN
easat-10606	452	23	,	,	PUNCT
easat-10606	452	24	achieving	achieve	VERB
easat-10606	452	25	the	the	DET
easat-10606	452	26	highest	high	ADJ
easat-10606	452	27	accuracy	accuracy	NOUN
easat-10606	452	28	of	of	ADP
easat-10606	452	29	94.54	94.54	NUM
easat-10606	452	30	%	%	NOUN
easat-10606	452	31	with	with	ADP
easat-10606	452	32	smote	smote	NOUN
easat-10606	452	33	.	.	PUNCT
easat-10606	453	1	additionally	additionally	ADV
easat-10606	453	2	,	,	PUNCT
easat-10606	453	3	to	to	PART
easat-10606	453	4	improve	improve	VERB
easat-10606	453	5	prediction	prediction	NOUN
easat-10606	453	6	results	result	NOUN
easat-10606	453	7	and	and	CCONJ
easat-10606	453	8	enhance	enhance	VERB
easat-10606	453	9	scalability	scalability	NOUN
easat-10606	453	10	,	,	PUNCT
easat-10606	453	11	the	the	DET
easat-10606	453	12	most	most	ADV
easat-10606	453	13	suitable	suitable	ADJ
easat-10606	453	14	classifier	classifier	NOUN
easat-10606	453	15	was	be	AUX
easat-10606	453	16	integrated	integrate	VERB
easat-10606	453	17	using	use	VERB
easat-10606	453	18	bagging	bagging	NOUN
easat-10606	453	19	,	,	PUNCT
easat-10606	453	20	resulting	result	VERB
easat-10606	453	21	in	in	ADP
easat-10606	453	22	an	an	DET
easat-10606	453	23	accuracy	accuracy	NOUN
easat-10606	453	24	of	of	ADP
easat-10606	453	25	95.45	95.45	NUM
easat-10606	453	26	%	%	NOUN
easat-10606	453	27	.	.	PUNCT
easat-10606	454	1	roaring	roar	VERB
easat-10606	454	2	et	et	PROPN
easat-10606	454	3	al	al	PROPN
easat-10606	454	4	.	.	PUNCT
easat-10606	455	1	[	[	X
easat-10606	455	2	90	90	NUM
easat-10606	455	3	]	]	PUNCT
easat-10606	455	4	examined	examine	VERB
easat-10606	455	5	the	the	DET
easat-10606	455	6	connection	connection	NOUN
easat-10606	455	7	between	between	ADP
easat-10606	455	8	the	the	DET
easat-10606	455	9	numerical	numerical	ADJ
easat-10606	455	10	evaluation	evaluation	NOUN
easat-10606	455	11	of	of	ADP
easat-10606	455	12	teacher	teacher	NOUN
easat-10606	455	13	performance	performance	NOUN
easat-10606	455	14	and	and	CCONJ
easat-10606	455	15	the	the	DET
easat-10606	455	16	real	real	ADJ
easat-10606	455	17	opinions	opinion	NOUN
easat-10606	455	18	,	,	PUNCT
easat-10606	455	19	sentiments	sentiment	NOUN
easat-10606	455	20	,	,	PUNCT
easat-10606	455	21	and	and	CCONJ
easat-10606	455	22	observations	observation	NOUN
easat-10606	455	23	.	.	PUNCT
easat-10606	456	1	1163	1163	NUM
easat-10606	456	2	edelweiss	edelweiss	PROPN
easat-10606	456	3	applied	apply	VERB
easat-10606	456	4	science	science	NOUN
easat-10606	456	5	and	and	CCONJ
easat-10606	456	6	technology	technology	NOUN
easat-10606	456	7	issn	issn	PROPN
easat-10606	456	8	:	:	PUNCT
easat-10606	456	9	2576	2576	NUM
easat-10606	456	10	-	-	SYM
easat-10606	456	11	8484	8484	NUM
easat-10606	456	12	vol	vol	NOUN
easat-10606	456	13	.	.	PROPN
easat-10606	457	1	9	9	NUM
easat-10606	457	2	,	,	PUNCT
easat-10606	457	3	no	no	INTJ
easat-10606	457	4	.	.	NOUN
easat-10606	457	5	10	10	NUM
easat-10606	457	6	:	:	SYM
easat-10606	457	7	1149	1149	NUM
easat-10606	457	8	-	-	SYM
easat-10606	457	9	1180	1180	NUM
easat-10606	457	10	,	,	PUNCT
easat-10606	457	11	2025	2025	NUM
easat-10606	457	12	doi	doi	NOUN
easat-10606	457	13	:	:	PUNCT
easat-10606	457	14	10.55214/2576	10.55214/2576	NUM
easat-10606	457	15	-	-	SYM
easat-10606	457	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	457	17	©	©	ADP
easat-10606	457	18	2025	2025	NUM
easat-10606	457	19	by	by	ADP
easat-10606	457	20	the	the	DET
easat-10606	457	21	authors	author	NOUN
easat-10606	457	22	;	;	PUNCT
easat-10606	457	23	licensee	licensee	PROPN
easat-10606	457	24	learning	learning	NOUN
easat-10606	457	25	gate	gate	VERB
easat-10606	457	26	gebashe	gebashe	PROPN
easat-10606	457	27	et	et	PROPN
easat-10606	457	28	al	al	PROPN
easat-10606	457	29	.	.	PUNCT
easat-10606	458	1	[	[	X
easat-10606	458	2	91	91	NUM
easat-10606	458	3	]	]	PUNCT
easat-10606	458	4	proposed	propose	VERB
easat-10606	458	5	a	a	DET
easat-10606	458	6	two	two	NUM
easat-10606	458	7	-	-	PUNCT
easat-10606	458	8	part	part	NOUN
easat-10606	458	9	faculty	faculty	NOUN
easat-10606	458	10	assessment	assessment	NOUN
easat-10606	458	11	system	system	NOUN
easat-10606	458	12	built	build	VERB
easat-10606	458	13	on	on	ADP
easat-10606	458	14	machine	machine	NOUN
easat-10606	458	15	learning	learning	NOUN
easat-10606	458	16	and	and	CCONJ
easat-10606	458	17	text	text	NOUN
easat-10606	458	18	analytics	analytic	NOUN
easat-10606	458	19	.	.	PUNCT
easat-10606	459	1	postgraduate	postgraduate	PROPN
easat-10606	459	2	students	student	NOUN
easat-10606	459	3	'	'	PART
easat-10606	459	4	qualitative	qualitative	ADJ
easat-10606	459	5	and	and	CCONJ
easat-10606	459	6	quantitative	quantitative	ADJ
easat-10606	459	7	evaluations	evaluation	NOUN
easat-10606	459	8	regarding	regard	VERB
easat-10606	459	9	their	their	PRON
easat-10606	459	10	faculty	faculty	NOUN
easat-10606	459	11	,	,	PUNCT
easat-10606	459	12	as	as	ADV
easat-10606	459	13	well	well	ADV
easat-10606	459	14	as	as	ADP
easat-10606	459	15	information	information	NOUN
easat-10606	459	16	about	about	ADP
easat-10606	459	17	student	student	NOUN
easat-10606	459	18	and	and	CCONJ
easat-10606	459	19	teacher	teacher	NOUN
easat-10606	459	20	characteristics	characteristic	NOUN
easat-10606	459	21	,	,	PUNCT
easat-10606	459	22	were	be	AUX
easat-10606	459	23	recorded	record	VERB
easat-10606	459	24	using	use	VERB
easat-10606	459	25	a	a	DET
easat-10606	459	26	standardized	standardized	ADJ
easat-10606	459	27	questionnaire	questionnaire	NOUN
easat-10606	459	28	.	.	PUNCT
easat-10606	460	1	sentiment	sentiment	NOUN
easat-10606	460	2	analysis	analysis	NOUN
easat-10606	460	3	was	be	AUX
easat-10606	460	4	used	use	VERB
easat-10606	460	5	to	to	PART
easat-10606	460	6	analyze	analyze	VERB
easat-10606	460	7	the	the	DET
easat-10606	460	8	qualitative	qualitative	ADJ
easat-10606	460	9	input	input	NOUN
easat-10606	460	10	and	and	CCONJ
easat-10606	460	11	convert	convert	VERB
easat-10606	460	12	the	the	DET
easat-10606	460	13	text	text	NOUN
easat-10606	460	14	feedback	feedback	NOUN
easat-10606	460	15	into	into	ADP
easat-10606	460	16	polarity	polarity	NOUN
easat-10606	460	17	scores	score	NOUN
easat-10606	460	18	.	.	PUNCT
easat-10606	461	1	depending	depend	VERB
easat-10606	461	2	on	on	ADP
easat-10606	461	3	the	the	DET
easat-10606	461	4	faculty	faculty	NOUN
easat-10606	461	5	and	and	CCONJ
easat-10606	461	6	the	the	DET
easat-10606	461	7	length	length	NOUN
easat-10606	461	8	of	of	ADP
easat-10606	461	9	the	the	DET
easat-10606	461	10	response	response	NOUN
easat-10606	461	11	,	,	PUNCT
easat-10606	461	12	the	the	DET
easat-10606	461	13	polarity	polarity	NOUN
easat-10606	461	14	of	of	ADP
easat-10606	461	15	the	the	DET
easat-10606	461	16	words	word	NOUN
easat-10606	461	17	and	and	CCONJ
easat-10606	461	18	sentences	sentence	NOUN
easat-10606	461	19	in	in	ADP
easat-10606	461	20	the	the	DET
easat-10606	461	21	qualitative	qualitative	ADJ
easat-10606	461	22	feedback	feedback	NOUN
easat-10606	461	23	varied	varied	ADJ
easat-10606	461	24	.	.	PUNCT
easat-10606	462	1	students	student	NOUN
easat-10606	462	2	were	be	AUX
easat-10606	462	3	highly	highly	ADV
easat-10606	462	4	emotionally	emotionally	ADV
easat-10606	462	5	engaged	engage	VERB
easat-10606	462	6	by	by	ADP
easat-10606	462	7	faculty	faculty	NOUN
easat-10606	462	8	members	member	NOUN
easat-10606	462	9	who	who	PRON
easat-10606	462	10	employed	employ	VERB
easat-10606	462	11	case	case	NOUN
easat-10606	462	12	studies	study	NOUN
easat-10606	462	13	,	,	PUNCT
easat-10606	462	14	practical	practical	ADJ
easat-10606	462	15	experiments	experiment	NOUN
easat-10606	462	16	,	,	PUNCT
easat-10606	462	17	and	and	CCONJ
easat-10606	462	18	real	real	ADJ
easat-10606	462	19	-	-	PUNCT
easat-10606	462	20	world	world	NOUN
easat-10606	462	21	analogies	analogy	NOUN
easat-10606	462	22	.	.	PUNCT
easat-10606	463	1	ten	ten	NUM
easat-10606	463	2	different	different	ADJ
easat-10606	463	3	machine	machine	NOUN
easat-10606	463	4	learning	learn	VERB
easat-10606	463	5	algorithms	algorithm	NOUN
easat-10606	463	6	were	be	AUX
easat-10606	463	7	used	use	VERB
easat-10606	463	8	to	to	PART
easat-10606	463	9	predict	predict	VERB
easat-10606	463	10	professor	professor	NOUN
easat-10606	463	11	effectiveness	effectiveness	NOUN
easat-10606	463	12	based	base	VERB
easat-10606	463	13	on	on	ADP
easat-10606	463	14	the	the	DET
easat-10606	463	15	polarity	polarity	NOUN
easat-10606	463	16	ratings	rating	NOUN
easat-10606	463	17	of	of	ADP
easat-10606	463	18	the	the	DET
easat-10606	463	19	qualitative	qualitative	ADJ
easat-10606	463	20	and	and	CCONJ
easat-10606	463	21	quantitative	quantitative	ADJ
easat-10606	463	22	evaluations	evaluation	NOUN
easat-10606	463	23	.	.	PUNCT
easat-10606	464	1	the	the	DET
easat-10606	464	2	random	random	ADJ
easat-10606	464	3	forest	forest	NOUN
easat-10606	464	4	model	model	NOUN
easat-10606	464	5	was	be	AUX
easat-10606	464	6	the	the	DET
easat-10606	464	7	best	good	ADJ
easat-10606	464	8	among	among	ADP
easat-10606	464	9	all	all	PRON
easat-10606	464	10	,	,	PUNCT
easat-10606	464	11	outperforming	outperform	VERB
easat-10606	464	12	others	other	NOUN
easat-10606	464	13	with	with	ADP
easat-10606	464	14	high	high	ADJ
easat-10606	464	15	accuracy	accuracy	NOUN
easat-10606	464	16	,	,	PUNCT
easat-10606	464	17	precision	precision	NOUN
easat-10606	464	18	,	,	PUNCT
easat-10606	464	19	and	and	CCONJ
easat-10606	464	20	area	area	NOUN
easat-10606	464	21	under	under	ADP
easat-10606	464	22	the	the	DET
easat-10606	464	23	curve	curve	NOUN
easat-10606	464	24	,	,	PUNCT
easat-10606	464	25	achieving	achieve	VERB
easat-10606	464	26	98.87	98.87	NUM
easat-10606	464	27	%	%	NOUN
easat-10606	464	28	,	,	PUNCT
easat-10606	464	29	97.71	97.71	NUM
easat-10606	464	30	%	%	NOUN
easat-10606	464	31	,	,	PUNCT
easat-10606	464	32	and	and	CCONJ
easat-10606	464	33	97.32	97.32	NUM
easat-10606	464	34	%	%	NOUN
easat-10606	464	35	,	,	PUNCT
easat-10606	464	36	respectively	respectively	ADV
easat-10606	464	37	.	.	PUNCT
easat-10606	465	1	3	3	X
easat-10606	465	2	.	.	NOUN
easat-10606	465	3	methods	method	NOUN
easat-10606	465	4	and	and	CCONJ
easat-10606	465	5	materials	material	NOUN
easat-10606	465	6	this	this	DET
easat-10606	465	7	section	section	NOUN
easat-10606	465	8	discusses	discuss	VERB
easat-10606	465	9	the	the	DET
easat-10606	465	10	approach	approach	NOUN
easat-10606	465	11	used	use	VERB
easat-10606	465	12	to	to	PART
easat-10606	465	13	achieve	achieve	VERB
easat-10606	465	14	the	the	DET
easat-10606	465	15	study	study	NOUN
easat-10606	465	16	's	's	PART
easat-10606	465	17	goals	goal	NOUN
easat-10606	465	18	of	of	ADP
easat-10606	465	19	developing	develop	VERB
easat-10606	465	20	a	a	DET
easat-10606	465	21	stacking	stack	VERB
easat-10606	465	22	ensemble	ensemble	ADJ
easat-10606	465	23	model	model	NOUN
easat-10606	465	24	for	for	ADP
easat-10606	465	25	students	student	NOUN
easat-10606	465	26	'	'	PART
easat-10606	465	27	feedback	feedback	NOUN
easat-10606	465	28	prediction	prediction	NOUN
easat-10606	465	29	with	with	ADP
easat-10606	465	30	many	many	ADJ
easat-10606	465	31	predictors	predictor	NOUN
easat-10606	465	32	,	,	PUNCT
easat-10606	465	33	as	as	SCONJ
easat-10606	465	34	illustrated	illustrate	VERB
easat-10606	465	35	in	in	ADP
easat-10606	465	36	fig	fig	NOUN
easat-10606	465	37	.	.	PUNCT
easat-10606	466	1	2	2	X
easat-10606	466	2	.	.	X
easat-10606	466	3	the	the	DET
easat-10606	466	4	methodology	methodology	NOUN
easat-10606	466	5	also	also	ADV
easat-10606	466	6	comprises	comprise	VERB
easat-10606	466	7	the	the	DET
easat-10606	466	8	following	follow	VERB
easat-10606	466	9	stages	stage	NOUN
easat-10606	466	10	:	:	PUNCT
easat-10606	466	11	dataset	dataset	NOUN
easat-10606	466	12	collection	collection	NOUN
easat-10606	466	13	,	,	PUNCT
easat-10606	466	14	cleaning	cleaning	NOUN
easat-10606	466	15	,	,	PUNCT
easat-10606	466	16	preparation	preparation	NOUN
easat-10606	466	17	,	,	PUNCT
easat-10606	466	18	preprocessing	preprocessing	NOUN
easat-10606	466	19	,	,	PUNCT
easat-10606	466	20	data	datum	NOUN
easat-10606	466	21	balancing	balancing	NOUN
easat-10606	466	22	,	,	PUNCT
easat-10606	466	23	partitioning	partition	VERB
easat-10606	466	24	(	(	PUNCT
easat-10606	466	25	training	training	NOUN
easat-10606	466	26	and	and	CCONJ
easat-10606	466	27	testing	testing	NOUN
easat-10606	466	28	of	of	ADP
easat-10606	466	29	data	datum	NOUN
easat-10606	466	30	)	)	PUNCT
easat-10606	466	31	,	,	PUNCT
easat-10606	466	32	cross	cross	NOUN
easat-10606	466	33	-	-	NOUN
easat-10606	466	34	validation	validation	ADJ
easat-10606	466	35	,	,	PUNCT
easat-10606	466	36	and	and	CCONJ
easat-10606	466	37	model	model	NOUN
easat-10606	466	38	development	development	NOUN
easat-10606	466	39	,	,	PUNCT
easat-10606	466	40	implementation	implementation	NOUN
easat-10606	466	41	,	,	PUNCT
easat-10606	466	42	and	and	CCONJ
easat-10606	466	43	evaluation	evaluation	NOUN
easat-10606	466	44	.	.	PUNCT
easat-10606	467	1	additionally	additionally	ADV
easat-10606	467	2	,	,	PUNCT
easat-10606	467	3	the	the	DET
easat-10606	467	4	ensemble	ensemble	ADJ
easat-10606	467	5	methods	method	NOUN
easat-10606	467	6	and	and	CCONJ
easat-10606	467	7	a	a	DET
easat-10606	467	8	mixture	mixture	NOUN
easat-10606	467	9	or	or	CCONJ
easat-10606	467	10	combination	combination	NOUN
easat-10606	467	11	of	of	ADP
easat-10606	467	12	machine	machine	NOUN
easat-10606	467	13	learning	learn	VERB
easat-10606	467	14	algorithms	algorithm	NOUN
easat-10606	467	15	for	for	ADP
easat-10606	467	16	creating	create	VERB
easat-10606	467	17	an	an	DET
easat-10606	467	18	efficient	efficient	ADJ
easat-10606	467	19	ensemble	ensemble	ADJ
easat-10606	467	20	approach	approach	NOUN
easat-10606	467	21	are	be	AUX
easat-10606	467	22	provided	provide	VERB
easat-10606	467	23	.	.	PUNCT
easat-10606	468	1	finally	finally	ADV
easat-10606	468	2	,	,	PUNCT
easat-10606	468	3	a	a	DET
easat-10606	468	4	model	model	NOUN
easat-10606	468	5	was	be	AUX
easat-10606	468	6	created	create	VERB
easat-10606	468	7	to	to	PART
easat-10606	468	8	improve	improve	VERB
easat-10606	468	9	prediction	prediction	NOUN
easat-10606	468	10	accuracy	accuracy	NOUN
easat-10606	468	11	by	by	ADP
easat-10606	468	12	comparing	compare	VERB
easat-10606	468	13	the	the	DET
easat-10606	468	14	outcomes	outcome	NOUN
easat-10606	468	15	.	.	PUNCT
easat-10606	469	1	3.1	3.1	NUM
easat-10606	469	2	.	.	PUNCT
easat-10606	469	3	proposed	propose	VERB
easat-10606	469	4	model	model	NOUN
easat-10606	469	5	in	in	ADP
easat-10606	469	6	this	this	DET
easat-10606	469	7	paper	paper	NOUN
easat-10606	469	8	,	,	PUNCT
easat-10606	469	9	both	both	PRON
easat-10606	469	10	stacking	stack	VERB
easat-10606	469	11	ensemble	ensemble	ADJ
easat-10606	469	12	classifiers	classifier	NOUN
easat-10606	469	13	and	and	CCONJ
easat-10606	469	14	independent	independent	ADJ
easat-10606	469	15	machine	machine	NOUN
easat-10606	469	16	learning	learn	VERB
easat-10606	469	17	classification	classification	NOUN
easat-10606	469	18	techniques	technique	NOUN
easat-10606	469	19	are	be	AUX
easat-10606	469	20	employed	employ	VERB
easat-10606	469	21	across	across	ADP
easat-10606	469	22	the	the	DET
easat-10606	469	23	educational	educational	ADJ
easat-10606	469	24	dataset	dataset	NOUN
easat-10606	469	25	about	about	ADP
easat-10606	469	26	hei	hei	PROPN
easat-10606	469	27	.	.	PUNCT
easat-10606	470	1	the	the	DET
easat-10606	470	2	stacking	stacking	NOUN
easat-10606	470	3	ensemble	ensemble	ADJ
easat-10606	470	4	in	in	ADP
easat-10606	470	5	the	the	DET
easat-10606	470	6	current	current	ADJ
easat-10606	470	7	study	study	NOUN
easat-10606	470	8	comprises	comprise	VERB
easat-10606	470	9	various	various	ADJ
easat-10606	470	10	base	base	NOUN
easat-10606	470	11	-	-	PUNCT
easat-10606	470	12	level	level	NOUN
easat-10606	470	13	classifiers	classifier	NOUN
easat-10606	470	14	,	,	PUNCT
easat-10606	470	15	including	include	VERB
easat-10606	470	16	lr	lr	NOUN
easat-10606	470	17	,	,	PUNCT
easat-10606	470	18	svm	svm	PROPN
easat-10606	470	19	,	,	PUNCT
easat-10606	470	20	mlp	mlp	PROPN
easat-10606	470	21	,	,	PUNCT
easat-10606	470	22	and	and	CCONJ
easat-10606	470	23	nb	nb	INTJ
easat-10606	470	24	,	,	PUNCT
easat-10606	470	25	whose	whose	DET
easat-10606	470	26	outputs	output	NOUN
easat-10606	470	27	are	be	AUX
easat-10606	470	28	combined	combine	VERB
easat-10606	470	29	to	to	PART
easat-10606	470	30	produce	produce	VERB
easat-10606	470	31	an	an	DET
easat-10606	470	32	improved	improved	ADJ
easat-10606	470	33	prediction	prediction	NOUN
easat-10606	470	34	result	result	NOUN
easat-10606	470	35	.	.	PUNCT
easat-10606	471	1	moreover	moreover	ADV
easat-10606	471	2	,	,	PUNCT
easat-10606	471	3	the	the	DET
easat-10606	471	4	filtered	filter	VERB
easat-10606	471	5	dataset	dataset	NOUN
easat-10606	471	6	was	be	AUX
easat-10606	471	7	obtained	obtain	VERB
easat-10606	471	8	after	after	ADP
easat-10606	471	9	performing	perform	VERB
easat-10606	471	10	a	a	DET
easat-10606	471	11	pre	pre	ADJ
easat-10606	471	12	-	-	ADJ
easat-10606	471	13	processing	processing	ADJ
easat-10606	471	14	step	step	NOUN
easat-10606	471	15	on	on	ADP
easat-10606	471	16	the	the	DET
easat-10606	471	17	original	original	ADJ
easat-10606	471	18	dataset	dataset	NOUN
easat-10606	471	19	.	.	PUNCT
easat-10606	472	1	the	the	DET
easat-10606	472	2	pre	pre	ADJ
easat-10606	472	3	-	-	ADJ
easat-10606	472	4	processed	processed	ADJ
easat-10606	472	5	data	datum	NOUN
easat-10606	472	6	was	be	AUX
easat-10606	472	7	then	then	ADV
easat-10606	472	8	classified	classify	VERB
easat-10606	472	9	using	use	VERB
easat-10606	472	10	several	several	ADJ
easat-10606	472	11	algorithms	algorithm	NOUN
easat-10606	472	12	,	,	PUNCT
easat-10606	472	13	from	from	ADP
easat-10606	472	14	which	which	PRON
easat-10606	472	15	the	the	DET
easat-10606	472	16	three	three	NUM
easat-10606	472	17	best	well	ADV
easat-10606	472	18	-	-	PUNCT
easat-10606	472	19	performing	perform	VERB
easat-10606	472	20	classifiers	classifier	NOUN
easat-10606	472	21	were	be	AUX
easat-10606	472	22	selected	select	VERB
easat-10606	472	23	to	to	PART
easat-10606	472	24	enhance	enhance	VERB
easat-10606	472	25	prediction	prediction	NOUN
easat-10606	472	26	accuracy	accuracy	NOUN
easat-10606	472	27	on	on	ADP
easat-10606	472	28	test	test	NOUN
easat-10606	472	29	data	datum	NOUN
easat-10606	472	30	.	.	PUNCT
easat-10606	473	1	figure	figure	NOUN
easat-10606	473	2	2	2	NUM
easat-10606	473	3	illustrates	illustrate	VERB
easat-10606	473	4	the	the	DET
easat-10606	473	5	proposed	propose	VERB
easat-10606	473	6	model	model	NOUN
easat-10606	473	7	,	,	PUNCT
easat-10606	473	8	where	where	SCONJ
easat-10606	473	9	the	the	DET
easat-10606	473	10	dataset	dataset	NOUN
easat-10606	473	11	acquired	acquire	VERB
easat-10606	473	12	from	from	ADP
easat-10606	473	13	the	the	DET
easat-10606	473	14	university	university	NOUN
easat-10606	473	15	learning	learning	NOUN
easat-10606	473	16	management	management	NOUN
easat-10606	473	17	system	system	NOUN
easat-10606	473	18	includes	include	VERB
easat-10606	473	19	different	different	ADJ
easat-10606	473	20	features	feature	NOUN
easat-10606	473	21	of	of	ADP
easat-10606	473	22	students	student	NOUN
easat-10606	473	23	and	and	CCONJ
easat-10606	473	24	the	the	DET
easat-10606	473	25	final	final	ADJ
easat-10606	473	26	class	class	NOUN
easat-10606	473	27	labels	label	NOUN
easat-10606	473	28	.	.	PUNCT
easat-10606	474	1	the	the	DET
easat-10606	474	2	dataset	dataset	NOUN
easat-10606	474	3	primarily	primarily	ADV
easat-10606	474	4	undergoes	undergo	VERB
easat-10606	474	5	pre	pre	ADJ
easat-10606	474	6	-	-	ADJ
easat-10606	474	7	processing	processing	ADJ
easat-10606	474	8	to	to	PART
easat-10606	474	9	remove	remove	VERB
easat-10606	474	10	inconsistent	inconsistent	ADJ
easat-10606	474	11	and	and	CCONJ
easat-10606	474	12	noisy	noisy	ADJ
easat-10606	474	13	data	datum	NOUN
easat-10606	474	14	.	.	PUNCT
easat-10606	475	1	additionally	additionally	ADV
easat-10606	475	2	,	,	PUNCT
easat-10606	475	3	to	to	PART
easat-10606	475	4	achieve	achieve	VERB
easat-10606	475	5	better	well	ADJ
easat-10606	475	6	forecasting	forecasting	NOUN
easat-10606	475	7	results	result	NOUN
easat-10606	475	8	,	,	PUNCT
easat-10606	475	9	balancing	balance	VERB
easat-10606	475	10	of	of	ADP
easat-10606	475	11	instances	instance	NOUN
easat-10606	475	12	is	be	AUX
easat-10606	475	13	performed	perform	VERB
easat-10606	475	14	to	to	PART
easat-10606	475	15	ensure	ensure	VERB
easat-10606	475	16	a	a	DET
easat-10606	475	17	uniform	uniform	ADJ
easat-10606	475	18	distribution	distribution	NOUN
easat-10606	475	19	of	of	ADP
easat-10606	475	20	class	class	NOUN
easat-10606	475	21	labels	label	NOUN
easat-10606	475	22	.	.	PUNCT
easat-10606	476	1	the	the	DET
easat-10606	476	2	selected	select	VERB
easat-10606	476	3	base	base	NOUN
easat-10606	476	4	classifiers	classifier	NOUN
easat-10606	476	5	are	be	AUX
easat-10606	476	6	trained	train	VERB
easat-10606	476	7	and	and	CCONJ
easat-10606	476	8	tested	test	VERB
easat-10606	476	9	on	on	ADP
easat-10606	476	10	the	the	DET
easat-10606	476	11	data	datum	NOUN
easat-10606	476	12	,	,	PUNCT
easat-10606	476	13	and	and	CCONJ
easat-10606	476	14	their	their	PRON
easat-10606	476	15	outputs	output	NOUN
easat-10606	476	16	are	be	AUX
easat-10606	476	17	combined	combine	VERB
easat-10606	476	18	using	use	VERB
easat-10606	476	19	the	the	DET
easat-10606	476	20	stacking	stack	VERB
easat-10606	476	21	ensemble	ensemble	ADJ
easat-10606	476	22	method	method	NOUN
easat-10606	476	23	.	.	PUNCT
easat-10606	477	1	ultimately	ultimately	ADV
easat-10606	477	2	,	,	PUNCT
easat-10606	477	3	the	the	DET
easat-10606	477	4	predictions	prediction	NOUN
easat-10606	477	5	are	be	AUX
easat-10606	477	6	generated	generate	VERB
easat-10606	477	7	at	at	ADP
easat-10606	477	8	the	the	DET
easat-10606	477	9	meta	meta	ADJ
easat-10606	477	10	-	-	PUNCT
easat-10606	477	11	level	level	NOUN
easat-10606	477	12	based	base	VERB
easat-10606	477	13	on	on	ADP
easat-10606	477	14	the	the	DET
easat-10606	477	15	combined	combine	VERB
easat-10606	477	16	predictions	prediction	NOUN
easat-10606	477	17	from	from	ADP
easat-10606	477	18	different	different	ADJ
easat-10606	477	19	classifiers	classifier	NOUN
easat-10606	477	20	,	,	PUNCT
easat-10606	477	21	aiming	aim	VERB
easat-10606	477	22	to	to	PART
easat-10606	477	23	reduce	reduce	VERB
easat-10606	477	24	the	the	DET
easat-10606	477	25	generalization	generalization	NOUN
easat-10606	477	26	error	error	NOUN
easat-10606	477	27	.	.	PUNCT
easat-10606	478	1	furthermore	furthermore	ADV
easat-10606	478	2	,	,	PUNCT
easat-10606	478	3	the	the	DET
easat-10606	478	4	pre	pre	ADJ
easat-10606	478	5	-	-	ADJ
easat-10606	478	6	processed	processed	ADJ
easat-10606	478	7	data	datum	NOUN
easat-10606	478	8	is	be	AUX
easat-10606	478	9	also	also	ADV
easat-10606	478	10	evaluated	evaluate	VERB
easat-10606	478	11	on	on	ADP
easat-10606	478	12	other	other	ADJ
easat-10606	478	13	classifiers	classifier	NOUN
easat-10606	478	14	without	without	ADP
easat-10606	478	15	balancing	balance	VERB
easat-10606	478	16	the	the	DET
easat-10606	478	17	dataset	dataset	NOUN
easat-10606	478	18	,	,	PUNCT
easat-10606	478	19	thereby	thereby	ADV
easat-10606	478	20	providing	provide	VERB
easat-10606	478	21	a	a	DET
easat-10606	478	22	comparison	comparison	NOUN
easat-10606	478	23	between	between	ADP
easat-10606	478	24	balanced	balanced	ADJ
easat-10606	478	25	and	and	CCONJ
easat-10606	478	26	imbalanced	imbalanced	ADJ
easat-10606	478	27	data	datum	NOUN
easat-10606	478	28	.	.	PUNCT
easat-10606	479	1	3.2	3.2	NUM
easat-10606	479	2	.	.	PUNCT
easat-10606	479	3	data	datum	NOUN
easat-10606	479	4	collection	collection	NOUN
easat-10606	479	5	and	and	CCONJ
easat-10606	479	6	description	description	NOUN
easat-10606	479	7	the	the	DET
easat-10606	479	8	dataset	dataset	NOUN
easat-10606	479	9	used	use	VERB
easat-10606	479	10	is	be	AUX
easat-10606	479	11	collected	collect	VERB
easat-10606	479	12	from	from	ADP
easat-10606	479	13	learning	learn	VERB
easat-10606	479	14	management	management	NOUN
easat-10606	479	15	systems	system	NOUN
easat-10606	479	16	(	(	PUNCT
easat-10606	479	17	lms	lm	NOUN
easat-10606	479	18	)	)	PUNCT
easat-10606	479	19	of	of	ADP
easat-10606	479	20	a	a	DET
easat-10606	479	21	public	public	ADJ
easat-10606	479	22	university	university	NOUN
easat-10606	479	23	in	in	ADP
easat-10606	479	24	nigeria	nigeria	PROPN
easat-10606	479	25	using	use	VERB
easat-10606	479	26	a	a	DET
easat-10606	479	27	learner	learner	NOUN
easat-10606	479	28	activity	activity	NOUN
easat-10606	479	29	tracker	tracker	NOUN
easat-10606	479	30	tool	tool	NOUN
easat-10606	479	31	called	call	VERB
easat-10606	479	32	experience	experience	NOUN
easat-10606	479	33	api	api	NOUN
easat-10606	479	34	(	(	PUNCT
easat-10606	479	35	xapi	xapi	ADJ
easat-10606	479	36	)	)	PUNCT
easat-10606	479	37	that	that	PRON
easat-10606	479	38	monitors	monitor	VERB
easat-10606	479	39	learning	learn	VERB
easat-10606	479	40	progress	progress	NOUN
easat-10606	479	41	and	and	CCONJ
easat-10606	479	42	learners	learner	NOUN
easat-10606	479	43	'	'	PART
easat-10606	479	44	actions	action	NOUN
easat-10606	479	45	.	.	PUNCT
easat-10606	480	1	the	the	DET
easat-10606	480	2	educational	educational	ADJ
easat-10606	480	3	feedback	feedback	NOUN
easat-10606	480	4	dataset	dataset	NOUN
easat-10606	480	5	consists	consist	NOUN
easat-10606	480	6	of	of	ADP
easat-10606	480	7	textual	textual	ADJ
easat-10606	480	8	reviews	review	NOUN
easat-10606	480	9	of	of	ADP
easat-10606	480	10	about	about	ADV
easat-10606	480	11	1011	1011	NUM
easat-10606	480	12	students	student	NOUN
easat-10606	480	13	with	with	ADP
easat-10606	480	14	features	feature	NOUN
easat-10606	480	15	such	such	ADJ
easat-10606	480	16	as	as	ADP
easat-10606	480	17	student_id	student_id	NOUN
easat-10606	480	18	,	,	PUNCT
easat-10606	480	19	student_name	student_name	PROPN
easat-10606	480	20	,	,	PUNCT
easat-10606	480	21	review	review	NOUN
easat-10606	480	22	,	,	PUNCT
easat-10606	480	23	and	and	CCONJ
easat-10606	480	24	emotion	emotion	NOUN
easat-10606	480	25	.	.	PUNCT
easat-10606	481	1	a	a	DET
easat-10606	481	2	snapshot	snapshot	NOUN
easat-10606	481	3	of	of	ADP
easat-10606	481	4	the	the	DET
easat-10606	481	5	sample	sample	NOUN
easat-10606	481	6	feedback	feedback	NOUN
easat-10606	481	7	data	datum	NOUN
easat-10606	481	8	collected	collect	VERB
easat-10606	481	9	from	from	ADP
easat-10606	481	10	the	the	DET
easat-10606	481	11	lms	lm	NOUN
easat-10606	481	12	is	be	AUX
easat-10606	481	13	illustrated	illustrate	VERB
easat-10606	481	14	in	in	ADP
easat-10606	481	15	fig	fig	NOUN
easat-10606	481	16	.	.	PUNCT
easat-10606	482	1	3	3	X
easat-10606	482	2	.	.	X
easat-10606	482	3	these	these	DET
easat-10606	482	4	sentences	sentence	NOUN
easat-10606	482	5	are	be	AUX
easat-10606	482	6	unstructured	unstructure	VERB
easat-10606	482	7	,	,	PUNCT
easat-10606	482	8	which	which	PRON
easat-10606	482	9	is	be	AUX
easat-10606	482	10	not	not	PART
easat-10606	482	11	suitable	suitable	ADJ
easat-10606	482	12	for	for	ADP
easat-10606	482	13	direct	direct	ADJ
easat-10606	482	14	analysis	analysis	NOUN
easat-10606	482	15	.	.	PUNCT
easat-10606	483	1	therefore	therefore	ADV
easat-10606	483	2	,	,	PUNCT
easat-10606	483	3	preprocessing	preprocessing	NOUN
easat-10606	483	4	of	of	ADP
easat-10606	483	5	the	the	DET
easat-10606	483	6	dataset	dataset	NOUN
easat-10606	483	7	is	be	AUX
easat-10606	483	8	necessary	necessary	ADJ
easat-10606	483	9	.	.	PUNCT
easat-10606	484	1	the	the	DET
easat-10606	484	2	dataset	dataset	NOUN
easat-10606	484	3	was	be	AUX
easat-10606	484	4	manually	manually	ADV
easat-10606	484	5	labeled	label	VERB
easat-10606	484	6	with	with	ADP
easat-10606	484	7	sentiment	sentiment	NOUN
easat-10606	484	8	polarity	polarity	NOUN
easat-10606	484	9	labels	label	NOUN
easat-10606	484	10	:	:	PUNCT
easat-10606	484	11	positive	positive	ADJ
easat-10606	484	12	,	,	PUNCT
easat-10606	484	13	negative	negative	ADJ
easat-10606	484	14	,	,	PUNCT
easat-10606	484	15	and	and	CCONJ
easat-10606	484	16	neutral	neutral	ADJ
easat-10606	484	17	,	,	PUNCT
easat-10606	484	18	as	as	SCONJ
easat-10606	484	19	shown	show	VERB
easat-10606	484	20	in	in	ADP
easat-10606	484	21	figure	figure	NOUN
easat-10606	484	22	4	4	NUM
easat-10606	484	23	.	.	PUNCT
easat-10606	485	1	after	after	ADP
easat-10606	485	2	collecting	collect	VERB
easat-10606	485	3	the	the	DET
easat-10606	485	4	data	datum	NOUN
easat-10606	485	5	in	in	ADP
easat-10606	485	6	its	its	PRON
easat-10606	485	7	raw	raw	ADJ
easat-10606	485	8	form	form	NOUN
easat-10606	485	9	with	with	ADP
easat-10606	485	10	manual	manual	ADJ
easat-10606	485	11	labeling	labeling	NOUN
easat-10606	485	12	,	,	PUNCT
easat-10606	485	13	the	the	DET
easat-10606	485	14	comments	comment	NOUN
easat-10606	485	15	are	be	AUX
easat-10606	485	16	divided	divide	VERB
easat-10606	485	17	into	into	ADP
easat-10606	485	18	sentences	sentence	NOUN
easat-10606	485	19	.	.	PUNCT
easat-10606	486	1	1164	1164	NUM
easat-10606	486	2	edelweiss	edelweiss	PROPN
easat-10606	486	3	applied	apply	VERB
easat-10606	486	4	science	science	NOUN
easat-10606	486	5	and	and	CCONJ
easat-10606	486	6	technology	technology	NOUN
easat-10606	486	7	issn	issn	PROPN
easat-10606	486	8	:	:	PUNCT
easat-10606	486	9	2576	2576	NUM
easat-10606	486	10	-	-	SYM
easat-10606	486	11	8484	8484	NUM
easat-10606	486	12	vol	vol	NOUN
easat-10606	486	13	.	.	PROPN
easat-10606	487	1	9	9	NUM
easat-10606	487	2	,	,	PUNCT
easat-10606	487	3	no	no	INTJ
easat-10606	487	4	.	.	NOUN
easat-10606	487	5	10	10	NUM
easat-10606	487	6	:	:	SYM
easat-10606	487	7	1149	1149	NUM
easat-10606	487	8	-	-	SYM
easat-10606	487	9	1180	1180	NUM
easat-10606	487	10	,	,	PUNCT
easat-10606	487	11	2025	2025	NUM
easat-10606	487	12	doi	doi	NOUN
easat-10606	487	13	:	:	PUNCT
easat-10606	487	14	10.55214/2576	10.55214/2576	NUM
easat-10606	487	15	-	-	SYM
easat-10606	487	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	487	17	©	©	ADP
easat-10606	487	18	2025	2025	NUM
easat-10606	487	19	by	by	ADP
easat-10606	487	20	the	the	DET
easat-10606	487	21	authors	author	NOUN
easat-10606	487	22	;	;	PUNCT
easat-10606	487	23	licensee	licensee	PROPN
easat-10606	487	24	learning	learn	VERB
easat-10606	487	25	gate	gate	NOUN
easat-10606	487	26	figure	figure	NOUN
easat-10606	487	27	2	2	NUM
easat-10606	487	28	.	.	PUNCT
easat-10606	487	29	proposed	propose	VERB
easat-10606	487	30	model	model	NOUN
easat-10606	487	31	for	for	ADP
easat-10606	487	32	student	student	NOUN
easat-10606	487	33	feedback	feedback	NOUN
easat-10606	487	34	opinion	opinion	NOUN
easat-10606	487	35	mining	mining	NOUN
easat-10606	487	36	system	system	NOUN
easat-10606	487	37	.	.	PUNCT
easat-10606	488	1	1165	1165	NUM
easat-10606	488	2	edelweiss	edelweiss	PROPN
easat-10606	488	3	applied	apply	VERB
easat-10606	488	4	science	science	NOUN
easat-10606	488	5	and	and	CCONJ
easat-10606	488	6	technology	technology	NOUN
easat-10606	488	7	issn	issn	PROPN
easat-10606	488	8	:	:	PUNCT
easat-10606	488	9	2576	2576	NUM
easat-10606	488	10	-	-	SYM
easat-10606	488	11	8484	8484	NUM
easat-10606	488	12	vol	vol	NOUN
easat-10606	488	13	.	.	PROPN
easat-10606	489	1	9	9	NUM
easat-10606	489	2	,	,	PUNCT
easat-10606	489	3	no	no	INTJ
easat-10606	489	4	.	.	NOUN
easat-10606	489	5	10	10	NUM
easat-10606	489	6	:	:	SYM
easat-10606	489	7	1149	1149	NUM
easat-10606	489	8	-	-	SYM
easat-10606	489	9	1180	1180	NUM
easat-10606	489	10	,	,	PUNCT
easat-10606	489	11	2025	2025	NUM
easat-10606	489	12	doi	doi	NOUN
easat-10606	489	13	:	:	PUNCT
easat-10606	489	14	10.55214/2576	10.55214/2576	NUM
easat-10606	489	15	-	-	SYM
easat-10606	489	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	489	17	©	©	ADP
easat-10606	489	18	2025	2025	NUM
easat-10606	489	19	by	by	ADP
easat-10606	489	20	the	the	DET
easat-10606	489	21	authors	author	NOUN
easat-10606	489	22	;	;	PUNCT
easat-10606	489	23	licensee	licensee	PROPN
easat-10606	489	24	learning	learn	VERB
easat-10606	489	25	gate	gate	PROPN
easat-10606	489	26	figure	figure	NOUN
easat-10606	490	1	3	3	NUM
easat-10606	490	2	.	.	PUNCT
easat-10606	491	1	sample	sample	NOUN
easat-10606	491	2	of	of	ADP
easat-10606	491	3	the	the	DET
easat-10606	491	4	raw	raw	ADJ
easat-10606	491	5	dataset	dataset	NOUN
easat-10606	491	6	before	before	ADP
easat-10606	491	7	pre	pre	ADJ
easat-10606	491	8	-	-	ADJ
easat-10606	491	9	processing	processing	ADJ
easat-10606	491	10	.	.	PUNCT
easat-10606	492	1	figure	figure	NOUN
easat-10606	492	2	4	4	NUM
easat-10606	492	3	.	.	PUNCT
easat-10606	492	4	dataset	dataset	VERB
easat-10606	492	5	after	after	ADP
easat-10606	492	6	pre	pre	ADJ
easat-10606	492	7	-	-	ADJ
easat-10606	492	8	processing	processing	ADJ
easat-10606	492	9	.	.	PUNCT
easat-10606	493	1	3.3	3.3	NUM
easat-10606	493	2	.	.	PUNCT
easat-10606	494	1	data	datum	NOUN
easat-10606	494	2	preparation	preparation	NOUN
easat-10606	494	3	after	after	SCONJ
easat-10606	494	4	the	the	DET
easat-10606	494	5	dataset	dataset	NOUN
easat-10606	494	6	from	from	ADP
easat-10606	494	7	tertiary	tertiary	ADJ
easat-10606	494	8	institutions	institution	NOUN
easat-10606	494	9	was	be	AUX
easat-10606	494	10	acquired	acquire	VERB
easat-10606	494	11	or	or	CCONJ
easat-10606	494	12	collected	collect	VERB
easat-10606	494	13	from	from	ADP
easat-10606	494	14	the	the	DET
easat-10606	494	15	learning	learning	NOUN
easat-10606	494	16	management	management	NOUN
easat-10606	494	17	system	system	NOUN
easat-10606	494	18	using	use	VERB
easat-10606	494	19	the	the	DET
easat-10606	494	20	experience	experience	NOUN
easat-10606	494	21	api	api	NOUN
easat-10606	494	22	(	(	PUNCT
easat-10606	494	23	xapi	xapi	ADJ
easat-10606	494	24	)	)	PUNCT
easat-10606	494	25	,	,	PUNCT
easat-10606	494	26	data	datum	NOUN
easat-10606	494	27	preparation	preparation	NOUN
easat-10606	494	28	is	be	AUX
easat-10606	494	29	an	an	DET
easat-10606	494	30	important	important	ADJ
easat-10606	494	31	step	step	NOUN
easat-10606	494	32	in	in	ADP
easat-10606	494	33	the	the	DET
easat-10606	494	34	process	process	NOUN
easat-10606	494	35	of	of	ADP
easat-10606	494	36	mining	mine	VERB
easat-10606	494	37	useful	useful	ADJ
easat-10606	494	38	insights	insight	NOUN
easat-10606	494	39	from	from	ADP
easat-10606	494	40	educational	educational	ADJ
easat-10606	494	41	datasets	dataset	NOUN
easat-10606	494	42	.	.	PUNCT
easat-10606	495	1	in	in	ADP
easat-10606	495	2	this	this	DET
easat-10606	495	3	stage	stage	NOUN
easat-10606	495	4	,	,	PUNCT
easat-10606	495	5	the	the	DET
easat-10606	495	6	following	follow	VERB
easat-10606	495	7	tasks	task	NOUN
easat-10606	495	8	were	be	AUX
easat-10606	495	9	performed	perform	VERB
easat-10606	495	10	.	.	PUNCT
easat-10606	496	1	1166	1166	NUM
easat-10606	496	2	edelweiss	edelweiss	PROPN
easat-10606	496	3	applied	apply	VERB
easat-10606	496	4	science	science	NOUN
easat-10606	496	5	and	and	CCONJ
easat-10606	496	6	technology	technology	NOUN
easat-10606	496	7	issn	issn	PROPN
easat-10606	496	8	:	:	PUNCT
easat-10606	496	9	2576	2576	NUM
easat-10606	496	10	-	-	SYM
easat-10606	496	11	8484	8484	NUM
easat-10606	496	12	vol	vol	NOUN
easat-10606	496	13	.	.	PROPN
easat-10606	497	1	9	9	NUM
easat-10606	497	2	,	,	PUNCT
easat-10606	497	3	no	no	INTJ
easat-10606	497	4	.	.	NOUN
easat-10606	497	5	10	10	NUM
easat-10606	497	6	:	:	SYM
easat-10606	497	7	1149	1149	NUM
easat-10606	497	8	-	-	SYM
easat-10606	497	9	1180	1180	NUM
easat-10606	497	10	,	,	PUNCT
easat-10606	497	11	2025	2025	NUM
easat-10606	497	12	doi	doi	NOUN
easat-10606	497	13	:	:	PUNCT
easat-10606	497	14	10.55214/2576	10.55214/2576	NUM
easat-10606	497	15	-	-	SYM
easat-10606	497	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	497	17	©	©	ADP
easat-10606	497	18	2025	2025	NUM
easat-10606	497	19	by	by	ADP
easat-10606	497	20	the	the	DET
easat-10606	497	21	authors	author	NOUN
easat-10606	497	22	;	;	PUNCT
easat-10606	497	23	licensee	licensee	PROPN
easat-10606	497	24	learning	learn	VERB
easat-10606	497	25	gate	gate	NOUN
easat-10606	497	26	3.3.1	3.3.1	PROPN
easat-10606	497	27	.	.	PUNCT
easat-10606	497	28	data	datum	NOUN
easat-10606	497	29	cleaning	clean	VERB
easat-10606	497	30	and	and	CCONJ
easat-10606	497	31	preprocessing	preprocesse	VERB
easat-10606	497	32	these	these	PRON
easat-10606	497	33	are	be	AUX
easat-10606	497	34	important	important	ADJ
easat-10606	497	35	steps	step	NOUN
easat-10606	497	36	involved	involve	VERB
easat-10606	497	37	in	in	ADP
easat-10606	497	38	preparing	prepare	VERB
easat-10606	497	39	data	datum	NOUN
easat-10606	497	40	to	to	PART
easat-10606	497	41	make	make	VERB
easat-10606	497	42	raw	raw	ADJ
easat-10606	497	43	or	or	CCONJ
easat-10606	497	44	original	original	ADJ
easat-10606	497	45	datasets	dataset	NOUN
easat-10606	497	46	suitable	suitable	ADJ
easat-10606	497	47	for	for	ADP
easat-10606	497	48	data	data	NOUN
easat-10606	497	49	mining	mining	NOUN
easat-10606	497	50	techniques	technique	NOUN
easat-10606	497	51	and	and	CCONJ
easat-10606	497	52	algorithms	algorithm	NOUN
easat-10606	497	53	to	to	PART
easat-10606	497	54	be	be	AUX
easat-10606	497	55	implemented	implement	VERB
easat-10606	497	56	.	.	PUNCT
easat-10606	498	1	owing	owe	VERB
easat-10606	498	2	to	to	ADP
easat-10606	498	3	the	the	DET
easat-10606	498	4	large	large	ADJ
easat-10606	498	5	volume	volume	NOUN
easat-10606	498	6	of	of	ADP
easat-10606	498	7	datasets	dataset	NOUN
easat-10606	498	8	available	available	ADJ
easat-10606	498	9	in	in	ADP
easat-10606	498	10	educational	educational	ADJ
easat-10606	498	11	data	datum	NOUN
easat-10606	498	12	repositories	repository	NOUN
easat-10606	498	13	and	and	CCONJ
easat-10606	498	14	institutional	institutional	ADJ
easat-10606	498	15	learning	learning	NOUN
easat-10606	498	16	portals	portal	NOUN
easat-10606	498	17	and	and	CCONJ
easat-10606	498	18	platforms	platform	NOUN
easat-10606	498	19	,	,	PUNCT
easat-10606	498	20	there	there	PRON
easat-10606	498	21	are	be	VERB
easat-10606	498	22	challenges	challenge	NOUN
easat-10606	498	23	facing	face	VERB
easat-10606	498	24	the	the	DET
easat-10606	498	25	database	database	NOUN
easat-10606	498	26	that	that	PRON
easat-10606	498	27	affect	affect	VERB
easat-10606	498	28	the	the	DET
easat-10606	498	29	quality	quality	NOUN
easat-10606	498	30	of	of	ADP
easat-10606	498	31	data	datum	NOUN
easat-10606	498	32	.	.	PUNCT
easat-10606	499	1	to	to	PART
easat-10606	499	2	improve	improve	VERB
easat-10606	499	3	the	the	DET
easat-10606	499	4	quality	quality	NOUN
easat-10606	499	5	of	of	ADP
easat-10606	499	6	data	datum	NOUN
easat-10606	499	7	available	available	ADJ
easat-10606	499	8	for	for	ADP
easat-10606	499	9	the	the	DET
easat-10606	499	10	model	model	NOUN
easat-10606	499	11	,	,	PUNCT
easat-10606	499	12	data	datum	NOUN
easat-10606	499	13	cleaning	cleaning	NOUN
easat-10606	499	14	was	be	AUX
easat-10606	499	15	carried	carry	VERB
easat-10606	499	16	out	out	ADP
easat-10606	499	17	to	to	PART
easat-10606	499	18	handle	handle	VERB
easat-10606	499	19	missing	missing	ADJ
easat-10606	499	20	and	and	CCONJ
easat-10606	499	21	inconsistent	inconsistent	ADJ
easat-10606	499	22	data	datum	NOUN
easat-10606	499	23	,	,	PUNCT
easat-10606	499	24	as	as	ADV
easat-10606	499	25	well	well	ADV
easat-10606	499	26	as	as	ADP
easat-10606	499	27	noise	noise	NOUN
easat-10606	499	28	removal	removal	NOUN
easat-10606	499	29	.	.	PUNCT
easat-10606	500	1	in	in	ADP
easat-10606	500	2	the	the	DET
easat-10606	500	3	same	same	ADJ
easat-10606	500	4	way	way	NOUN
easat-10606	500	5	,	,	PUNCT
easat-10606	500	6	removal	removal	NOUN
easat-10606	500	7	of	of	ADP
easat-10606	500	8	punctuations	punctuation	NOUN
easat-10606	500	9	,	,	PUNCT
easat-10606	500	10	numbers	number	NOUN
easat-10606	500	11	,	,	PUNCT
easat-10606	500	12	special	special	ADJ
easat-10606	500	13	characters	character	NOUN
easat-10606	500	14	,	,	PUNCT
easat-10606	500	15	hashtags	hashtag	NOUN
easat-10606	500	16	,	,	PUNCT
easat-10606	500	17	hyperlinks	hyperlink	NOUN
easat-10606	500	18	,	,	PUNCT
easat-10606	500	19	stop	stop	VERB
easat-10606	500	20	words	word	NOUN
easat-10606	500	21	like	like	ADP
easat-10606	500	22	verbs	verb	NOUN
easat-10606	500	23	,	,	PUNCT
easat-10606	500	24	and	and	CCONJ
easat-10606	500	25	prepositions	preposition	NOUN
easat-10606	500	26	from	from	ADP
easat-10606	500	27	the	the	DET
easat-10606	500	28	feedback	feedback	NOUN
easat-10606	500	29	text	text	NOUN
easat-10606	500	30	are	be	AUX
easat-10606	500	31	necessary	necessary	ADJ
easat-10606	500	32	because	because	SCONJ
easat-10606	500	33	they	they	PRON
easat-10606	500	34	do	do	AUX
easat-10606	500	35	not	not	PART
easat-10606	500	36	carry	carry	VERB
easat-10606	500	37	useful	useful	ADJ
easat-10606	500	38	information	information	NOUN
easat-10606	500	39	.	.	PUNCT
easat-10606	501	1	in	in	ADP
easat-10606	501	2	an	an	DET
easat-10606	501	3	attempt	attempt	NOUN
easat-10606	501	4	to	to	PART
easat-10606	501	5	make	make	VERB
easat-10606	501	6	the	the	DET
easat-10606	501	7	data	datum	NOUN
easat-10606	501	8	cleaning	cleaning	NOUN
easat-10606	501	9	process	process	NOUN
easat-10606	501	10	more	more	ADV
easat-10606	501	11	efficient	efficient	ADJ
easat-10606	501	12	,	,	PUNCT
easat-10606	501	13	a	a	DET
easat-10606	501	14	data	data	NOUN
easat-10606	501	15	cleaning	clean	VERB
easat-10606	501	16	pipeline	pipeline	NOUN
easat-10606	501	17	(	(	PUNCT
easat-10606	501	18	function	function	NOUN
easat-10606	501	19	)	)	PUNCT
easat-10606	501	20	was	be	AUX
easat-10606	501	21	created	create	VERB
easat-10606	501	22	.	.	PUNCT
easat-10606	502	1	the	the	DET
easat-10606	502	2	function	function	NOUN
easat-10606	502	3	removed	remove	VERB
easat-10606	502	4	punctuations	punctuation	NOUN
easat-10606	502	5	,	,	PUNCT
easat-10606	502	6	joined	join	VERB
easat-10606	502	7	all	all	DET
easat-10606	502	8	the	the	DET
easat-10606	502	9	data	datum	NOUN
easat-10606	502	10	as	as	ADP
easat-10606	502	11	a	a	DET
easat-10606	502	12	string	string	NOUN
easat-10606	502	13	,	,	PUNCT
easat-10606	502	14	converted	convert	VERB
easat-10606	502	15	the	the	DET
easat-10606	502	16	texts	text	NOUN
easat-10606	502	17	to	to	PART
easat-10606	502	18	lowercase	lowercase	VERB
easat-10606	502	19	,	,	PUNCT
easat-10606	502	20	and	and	CCONJ
easat-10606	502	21	removed	remove	VERB
easat-10606	502	22	stop	stop	NOUN
easat-10606	502	23	words	word	NOUN
easat-10606	502	24	such	such	ADJ
easat-10606	502	25	as	as	ADP
easat-10606	502	26	after	after	ADV
easat-10606	502	27	,	,	PUNCT
easat-10606	502	28	and	and	CCONJ
easat-10606	502	29	in	in	ADP
easat-10606	502	30	preparation	preparation	NOUN
easat-10606	502	31	for	for	ADP
easat-10606	502	32	the	the	DET
easat-10606	502	33	tokenization	tokenization	NOUN
easat-10606	502	34	process	process	NOUN
easat-10606	502	35	.	.	PUNCT
easat-10606	503	1	the	the	DET
easat-10606	503	2	tokenization	tokenization	NOUN
easat-10606	503	3	involves	involve	VERB
easat-10606	503	4	the	the	DET
easat-10606	503	5	splitting	splitting	NOUN
easat-10606	503	6	of	of	ADP
easat-10606	503	7	sentences	sentence	NOUN
easat-10606	503	8	(	(	PUNCT
easat-10606	503	9	text	text	NOUN
easat-10606	503	10	streams	stream	NOUN
easat-10606	503	11	)	)	PUNCT
easat-10606	503	12	into	into	ADP
easat-10606	503	13	words	word	NOUN
easat-10606	503	14	,	,	PUNCT
easat-10606	503	15	otherwise	otherwise	ADV
easat-10606	503	16	referred	refer	VERB
easat-10606	503	17	to	to	ADP
easat-10606	503	18	as	as	ADP
easat-10606	503	19	tokens	token	NOUN
easat-10606	503	20	.	.	PUNCT
easat-10606	504	1	in	in	ADP
easat-10606	504	2	the	the	DET
easat-10606	504	3	study	study	NOUN
easat-10606	504	4	,	,	PUNCT
easat-10606	504	5	the	the	DET
easat-10606	504	6	token	token	NOUN
easat-10606	504	7	,	,	PUNCT
easat-10606	504	8	which	which	PRON
easat-10606	504	9	is	be	AUX
easat-10606	504	10	a	a	DET
easat-10606	504	11	sequence	sequence	NOUN
easat-10606	504	12	of	of	ADP
easat-10606	504	13	characters	character	NOUN
easat-10606	504	14	(	(	PUNCT
easat-10606	504	15	words	word	NOUN
easat-10606	504	16	,	,	PUNCT
easat-10606	504	17	emotions	emotion	NOUN
easat-10606	504	18	)	)	PUNCT
easat-10606	504	19	,	,	PUNCT
easat-10606	504	20	is	be	AUX
easat-10606	504	21	obtained	obtain	VERB
easat-10606	504	22	using	use	VERB
easat-10606	504	23	whitespace	whitespace	NOUN
easat-10606	504	24	and	and	CCONJ
easat-10606	504	25	punctuation	punctuation	NOUN
easat-10606	504	26	as	as	ADP
easat-10606	504	27	delimiters	delimiter	NOUN
easat-10606	504	28	.	.	PUNCT
easat-10606	505	1	in	in	ADP
easat-10606	505	2	addition	addition	NOUN
easat-10606	505	3	to	to	ADP
easat-10606	505	4	tokenization	tokenization	NOUN
easat-10606	505	5	,	,	PUNCT
easat-10606	505	6	the	the	DET
easat-10606	505	7	tokenized	tokenized	ADJ
easat-10606	505	8	text	text	NOUN
easat-10606	505	9	was	be	AUX
easat-10606	505	10	normalized	normalize	VERB
easat-10606	505	11	by	by	ADP
easat-10606	505	12	applying	apply	VERB
easat-10606	505	13	stemming	stemming	NOUN
easat-10606	505	14	and	and	CCONJ
easat-10606	505	15	lemmatization	lemmatization	NOUN
easat-10606	505	16	processes	process	NOUN
easat-10606	505	17	.	.	PUNCT
easat-10606	506	1	moreover	moreover	ADV
easat-10606	506	2	,	,	PUNCT
easat-10606	506	3	the	the	DET
easat-10606	506	4	dataset	dataset	NOUN
easat-10606	506	5	is	be	AUX
easat-10606	506	6	reduced	reduce	VERB
easat-10606	506	7	while	while	SCONJ
easat-10606	506	8	preserving	preserve	VERB
easat-10606	506	9	the	the	DET
easat-10606	506	10	most	most	ADV
easat-10606	506	11	important	important	ADJ
easat-10606	506	12	information	information	NOUN
easat-10606	506	13	,	,	PUNCT
easat-10606	506	14	owing	owe	VERB
easat-10606	506	15	to	to	ADP
easat-10606	506	16	the	the	DET
easat-10606	506	17	large	large	ADJ
easat-10606	506	18	amount	amount	NOUN
easat-10606	506	19	of	of	ADP
easat-10606	506	20	redundant	redundant	ADJ
easat-10606	506	21	information	information	NOUN
easat-10606	506	22	contained	contain	VERB
easat-10606	506	23	in	in	ADP
easat-10606	506	24	the	the	DET
easat-10606	506	25	dataset	dataset	NOUN
easat-10606	506	26	.	.	PUNCT
easat-10606	507	1	consequently	consequently	ADV
easat-10606	507	2	,	,	PUNCT
easat-10606	507	3	the	the	DET
easat-10606	507	4	dimensionality	dimensionality	NOUN
easat-10606	507	5	reduction	reduction	NOUN
easat-10606	507	6	method	method	NOUN
easat-10606	507	7	is	be	AUX
easat-10606	507	8	applied	apply	VERB
easat-10606	507	9	to	to	PART
easat-10606	507	10	reduce	reduce	VERB
easat-10606	507	11	the	the	DET
easat-10606	507	12	number	number	NOUN
easat-10606	507	13	of	of	ADP
easat-10606	507	14	dataset	dataset	NOUN
easat-10606	507	15	features	feature	NOUN
easat-10606	507	16	using	use	VERB
easat-10606	507	17	several	several	ADJ
easat-10606	507	18	techniques	technique	NOUN
easat-10606	507	19	related	relate	VERB
easat-10606	507	20	to	to	ADP
easat-10606	507	21	data	data	NOUN
easat-10606	507	22	compression	compression	NOUN
easat-10606	507	23	,	,	PUNCT
easat-10606	507	24	feature	feature	NOUN
easat-10606	507	25	selection	selection	NOUN
easat-10606	507	26	,	,	PUNCT
easat-10606	507	27	and	and	CCONJ
easat-10606	507	28	feature	feature	NOUN
easat-10606	507	29	construction	construction	NOUN
easat-10606	507	30	.	.	PUNCT
easat-10606	508	1	similarly	similarly	ADV
easat-10606	508	2	,	,	PUNCT
easat-10606	508	3	transformation	transformation	NOUN
easat-10606	508	4	of	of	ADP
easat-10606	508	5	the	the	DET
easat-10606	508	6	dataset	dataset	NOUN
easat-10606	508	7	is	be	AUX
easat-10606	508	8	necessary	necessary	ADJ
easat-10606	508	9	and	and	CCONJ
easat-10606	508	10	is	be	AUX
easat-10606	508	11	applied	apply	VERB
easat-10606	508	12	to	to	PART
easat-10606	508	13	convert	convert	VERB
easat-10606	508	14	the	the	DET
easat-10606	508	15	cleaned	clean	VERB
easat-10606	508	16	dataset	dataset	NOUN
easat-10606	508	17	to	to	ADP
easat-10606	508	18	a	a	DET
easat-10606	508	19	suitable	suitable	ADJ
easat-10606	508	20	format	format	NOUN
easat-10606	508	21	using	use	VERB
easat-10606	508	22	discretization	discretization	NOUN
easat-10606	508	23	and	and	CCONJ
easat-10606	508	24	normalization	normalization	NOUN
easat-10606	508	25	methods	method	NOUN
easat-10606	508	26	.	.	PUNCT
easat-10606	509	1	in	in	ADP
easat-10606	509	2	this	this	DET
easat-10606	509	3	study	study	NOUN
easat-10606	509	4	,	,	PUNCT
easat-10606	509	5	a	a	DET
easat-10606	509	6	total	total	NOUN
easat-10606	509	7	of	of	ADP
easat-10606	509	8	1001	1001	NUM
easat-10606	509	9	feedback	feedback	NOUN
easat-10606	509	10	,	,	PUNCT
easat-10606	509	11	i.e.	i.e.	X
easat-10606	509	12	,	,	PUNCT
easat-10606	509	13	comments	comment	NOUN
easat-10606	509	14	that	that	PRON
easat-10606	509	15	are	be	AUX
easat-10606	509	16	in	in	ADP
easat-10606	509	17	an	an	DET
easat-10606	509	18	unstructured	unstructured	ADJ
easat-10606	509	19	form	form	NOUN
easat-10606	509	20	full	full	ADJ
easat-10606	509	21	of	of	ADP
easat-10606	509	22	noise	noise	NOUN
easat-10606	509	23	and	and	CCONJ
easat-10606	509	24	unwanted	unwanted	ADJ
easat-10606	509	25	information	information	NOUN
easat-10606	509	26	,	,	PUNCT
easat-10606	509	27	were	be	AUX
easat-10606	509	28	received	receive	VERB
easat-10606	509	29	using	use	VERB
easat-10606	509	30	some	some	DET
easat-10606	509	31	python	python	NOUN
easat-10606	509	32	programming	programming	NOUN
easat-10606	509	33	language	language	NOUN
easat-10606	509	34	libraries	library	NOUN
easat-10606	509	35	and	and	CCONJ
easat-10606	509	36	packages	package	NOUN
easat-10606	509	37	,	,	PUNCT
easat-10606	509	38	all	all	PRON
easat-10606	509	39	of	of	ADP
easat-10606	509	40	which	which	PRON
easat-10606	509	41	were	be	AUX
easat-10606	509	42	used	use	VERB
easat-10606	509	43	after	after	ADP
easat-10606	509	44	data	datum	NOUN
easat-10606	509	45	cleaning	clean	VERB
easat-10606	509	46	.	.	PUNCT
easat-10606	510	1	afterwards	afterwards	ADV
easat-10606	510	2	,	,	PUNCT
easat-10606	510	3	string	string	NOUN
easat-10606	510	4	attributes	attribute	NOUN
easat-10606	510	5	were	be	AUX
easat-10606	510	6	converted	convert	VERB
easat-10606	510	7	into	into	ADP
easat-10606	510	8	a	a	DET
easat-10606	510	9	set	set	NOUN
easat-10606	510	10	of	of	ADP
easat-10606	510	11	numeric	numeric	ADJ
easat-10606	510	12	attributes	attribute	NOUN
easat-10606	510	13	representing	represent	VERB
easat-10606	510	14	word	word	NOUN
easat-10606	510	15	occurrence	occurrence	NOUN
easat-10606	510	16	information	information	NOUN
easat-10606	510	17	from	from	ADP
easat-10606	510	18	the	the	DET
easat-10606	510	19	text	text	NOUN
easat-10606	510	20	contained	contain	VERB
easat-10606	510	21	in	in	ADP
easat-10606	510	22	the	the	DET
easat-10606	510	23	strings	string	NOUN
easat-10606	510	24	.	.	PUNCT
easat-10606	511	1	in	in	ADP
easat-10606	511	2	this	this	DET
easat-10606	511	3	work	work	NOUN
easat-10606	511	4	,	,	PUNCT
easat-10606	511	5	a	a	DET
easat-10606	511	6	string	string	NOUN
easat-10606	511	7	is	be	AUX
easat-10606	511	8	split	split	VERB
easat-10606	511	9	into	into	ADP
easat-10606	511	10	an	an	DET
easat-10606	511	11	n	n	NOUN
easat-10606	511	12	-	-	PUNCT
easat-10606	511	13	gram	gram	NOUN
easat-10606	511	14	.	.	PUNCT
easat-10606	512	1	in	in	ADP
easat-10606	512	2	the	the	DET
easat-10606	512	3	same	same	ADJ
easat-10606	512	4	vein	vein	NOUN
easat-10606	512	5	,	,	PUNCT
easat-10606	512	6	the	the	DET
easat-10606	512	7	comments	comment	NOUN
easat-10606	512	8	from	from	ADP
easat-10606	512	9	the	the	DET
easat-10606	512	10	students	student	NOUN
easat-10606	512	11	'	'	PART
easat-10606	512	12	feedback	feedback	NOUN
easat-10606	512	13	dataset	dataset	NOUN
easat-10606	512	14	are	be	AUX
easat-10606	512	15	then	then	ADV
easat-10606	512	16	converted	convert	VERB
easat-10606	512	17	from	from	ADP
easat-10606	512	18	numerical	numerical	ADJ
easat-10606	512	19	values	value	NOUN
easat-10606	512	20	into	into	ADP
easat-10606	512	21	nominal	nominal	ADJ
easat-10606	512	22	values	value	NOUN
easat-10606	512	23	,	,	PUNCT
easat-10606	512	24	which	which	PRON
easat-10606	512	25	denote	denote	VERB
easat-10606	512	26	the	the	DET
easat-10606	512	27	three	three	NUM
easat-10606	512	28	class	class	NOUN
easat-10606	512	29	labels	label	NOUN
easat-10606	512	30	(	(	PUNCT
easat-10606	512	31	positive	positive	ADJ
easat-10606	512	32	,	,	PUNCT
easat-10606	512	33	negative	negative	ADJ
easat-10606	512	34	,	,	PUNCT
easat-10606	512	35	and	and	CCONJ
easat-10606	512	36	neutral	neutral	ADJ
easat-10606	512	37	)	)	PUNCT
easat-10606	512	38	for	for	ADP
easat-10606	512	39	the	the	DET
easat-10606	512	40	classification	classification	NOUN
easat-10606	512	41	problem	problem	NOUN
easat-10606	512	42	using	use	VERB
easat-10606	512	43	a	a	DET
easat-10606	512	44	discretization	discretization	NOUN
easat-10606	512	45	process	process	NOUN
easat-10606	512	46	.	.	PUNCT
easat-10606	513	1	3.3.2	3.3.2	X
easat-10606	513	2	.	.	X
easat-10606	513	3	feature	feature	NOUN
easat-10606	513	4	selection	selection	NOUN
easat-10606	513	5	this	this	PRON
easat-10606	513	6	is	be	AUX
easat-10606	513	7	another	another	DET
easat-10606	513	8	important	important	ADJ
easat-10606	513	9	step	step	NOUN
easat-10606	513	10	carried	carry	VERB
easat-10606	513	11	out	out	ADP
easat-10606	513	12	in	in	ADP
easat-10606	513	13	data	datum	NOUN
easat-10606	513	14	preprocessing	preprocesse	VERB
easat-10606	513	15	in	in	ADP
easat-10606	513	16	data	datum	NOUN
easat-10606	513	17	mining	mining	NOUN
easat-10606	513	18	to	to	PART
easat-10606	513	19	develop	develop	VERB
easat-10606	513	20	a	a	DET
easat-10606	513	21	students	student	NOUN
easat-10606	513	22	'	'	PART
easat-10606	513	23	feedback	feedback	NOUN
easat-10606	513	24	prediction	prediction	NOUN
easat-10606	513	25	model	model	NOUN
easat-10606	513	26	.	.	PUNCT
easat-10606	514	1	the	the	DET
easat-10606	514	2	purpose	purpose	NOUN
easat-10606	514	3	of	of	ADP
easat-10606	514	4	carrying	carry	VERB
easat-10606	514	5	out	out	ADP
easat-10606	514	6	feature	feature	NOUN
easat-10606	514	7	selection	selection	NOUN
easat-10606	514	8	is	be	AUX
easat-10606	514	9	to	to	PART
easat-10606	514	10	select	select	VERB
easat-10606	514	11	an	an	DET
easat-10606	514	12	appropriate	appropriate	ADJ
easat-10606	514	13	subset	subset	NOUN
easat-10606	514	14	of	of	ADP
easat-10606	514	15	features	feature	NOUN
easat-10606	514	16	that	that	PRON
easat-10606	514	17	can	can	AUX
easat-10606	514	18	efficiently	efficiently	ADV
easat-10606	514	19	describe	describe	VERB
easat-10606	514	20	the	the	DET
easat-10606	514	21	input	input	NOUN
easat-10606	514	22	data	datum	NOUN
easat-10606	514	23	,	,	PUNCT
easat-10606	514	24	reduce	reduce	VERB
easat-10606	514	25	the	the	DET
easat-10606	514	26	dimensionality	dimensionality	NOUN
easat-10606	514	27	of	of	ADP
easat-10606	514	28	the	the	DET
easat-10606	514	29	feature	feature	NOUN
easat-10606	514	30	space	space	NOUN
easat-10606	514	31	,	,	PUNCT
easat-10606	514	32	and	and	CCONJ
easat-10606	514	33	eliminate	eliminate	VERB
easat-10606	514	34	redundant	redundant	ADJ
easat-10606	514	35	or	or	CCONJ
easat-10606	514	36	irrelevant	irrelevant	ADJ
easat-10606	514	37	data	datum	NOUN
easat-10606	514	38	without	without	ADP
easat-10606	514	39	losing	lose	VERB
easat-10606	514	40	reliability	reliability	NOUN
easat-10606	514	41	in	in	ADP
easat-10606	514	42	classification	classification	NOUN
easat-10606	514	43	.	.	PUNCT
easat-10606	515	1	thus	thus	ADV
easat-10606	515	2	,	,	PUNCT
easat-10606	515	3	improving	improve	VERB
easat-10606	515	4	the	the	DET
easat-10606	515	5	quality	quality	NOUN
easat-10606	515	6	of	of	ADP
easat-10606	515	7	the	the	DET
easat-10606	515	8	data	datum	NOUN
easat-10606	515	9	and	and	CCONJ
easat-10606	515	10	,	,	PUNCT
easat-10606	515	11	in	in	ADP
easat-10606	515	12	turn	turn	NOUN
easat-10606	515	13	,	,	PUNCT
easat-10606	515	14	the	the	DET
easat-10606	515	15	performance	performance	NOUN
easat-10606	515	16	of	of	ADP
easat-10606	515	17	the	the	DET
easat-10606	515	18	learning	learning	NOUN
easat-10606	515	19	algorithm	algorithm	NOUN
easat-10606	515	20	.	.	PUNCT
easat-10606	516	1	notably	notably	ADV
easat-10606	516	2	,	,	PUNCT
easat-10606	516	3	there	there	PRON
easat-10606	516	4	are	be	VERB
easat-10606	516	5	three	three	NUM
easat-10606	516	6	methods	method	NOUN
easat-10606	516	7	of	of	ADP
easat-10606	516	8	feature	feature	NOUN
easat-10606	516	9	selection	selection	NOUN
easat-10606	516	10	:	:	PUNCT
easat-10606	516	11	manual	manual	ADJ
easat-10606	516	12	selection	selection	NOUN
easat-10606	516	13	based	base	VERB
easat-10606	516	14	on	on	ADP
easat-10606	516	15	pedagogical	pedagogical	ADJ
easat-10606	516	16	theories	theory	NOUN
easat-10606	516	17	or	or	CCONJ
easat-10606	516	18	expert	expert	NOUN
easat-10606	516	19	experience	experience	NOUN
easat-10606	516	20	,	,	PUNCT
easat-10606	516	21	filter	filter	NOUN
easat-10606	516	22	-	-	PUNCT
easat-10606	516	23	based	base	VERB
easat-10606	516	24	selection	selection	NOUN
easat-10606	516	25	,	,	PUNCT
easat-10606	516	26	and	and	CCONJ
easat-10606	516	27	wrapper	wrapper	NOUN
easat-10606	516	28	feature	feature	NOUN
easat-10606	516	29	selection	selection	NOUN
easat-10606	516	30	.	.	PUNCT
easat-10606	517	1	in	in	ADP
easat-10606	517	2	the	the	DET
easat-10606	517	3	present	present	ADJ
easat-10606	517	4	study	study	NOUN
easat-10606	517	5	,	,	PUNCT
easat-10606	517	6	a	a	DET
easat-10606	517	7	filterbased	filterbase	VERB
easat-10606	517	8	technique	technique	NOUN
easat-10606	517	9	for	for	ADP
easat-10606	517	10	feature	feature	NOUN
easat-10606	517	11	selection	selection	NOUN
easat-10606	517	12	was	be	AUX
easat-10606	517	13	applied	apply	VERB
easat-10606	517	14	.	.	PUNCT
easat-10606	518	1	the	the	DET
easat-10606	518	2	filter	filter	NOUN
easat-10606	518	3	-	-	PUNCT
easat-10606	518	4	based	base	VERB
easat-10606	518	5	method	method	NOUN
easat-10606	518	6	employed	employ	VERB
easat-10606	518	7	searches	search	NOUN
easat-10606	518	8	for	for	ADP
easat-10606	518	9	the	the	DET
easat-10606	518	10	minimum	minimum	ADJ
easat-10606	518	11	set	set	NOUN
easat-10606	518	12	of	of	ADP
easat-10606	518	13	relevant	relevant	ADJ
easat-10606	518	14	features	feature	NOUN
easat-10606	518	15	while	while	SCONJ
easat-10606	518	16	ignoring	ignore	VERB
easat-10606	518	17	others	other	NOUN
easat-10606	518	18	.	.	PUNCT
easat-10606	519	1	moreover	moreover	ADV
easat-10606	519	2	,	,	PUNCT
easat-10606	519	3	the	the	DET
easat-10606	519	4	technique	technique	NOUN
easat-10606	519	5	is	be	AUX
easat-10606	519	6	a	a	DET
easat-10606	519	7	ranking	ranking	NOUN
easat-10606	519	8	method	method	NOUN
easat-10606	519	9	used	use	VERB
easat-10606	519	10	to	to	PART
easat-10606	519	11	rank	rank	VERB
easat-10606	519	12	the	the	DET
easat-10606	519	13	features	feature	NOUN
easat-10606	519	14	,	,	PUNCT
easat-10606	519	15	where	where	SCONJ
easat-10606	519	16	highly	highly	ADV
easat-10606	519	17	ranked	rank	VERB
easat-10606	519	18	features	feature	NOUN
easat-10606	519	19	are	be	AUX
easat-10606	519	20	selected	select	VERB
easat-10606	519	21	while	while	SCONJ
easat-10606	519	22	ignoring	ignore	VERB
easat-10606	519	23	the	the	DET
easat-10606	519	24	rest	rest	NOUN
easat-10606	519	25	,	,	PUNCT
easat-10606	519	26	using	use	VERB
easat-10606	519	27	an	an	DET
easat-10606	519	28	information	information	NOUN
easat-10606	519	29	gain	gain	NOUN
easat-10606	519	30	-	-	PUNCT
easat-10606	519	31	based	base	VERB
easat-10606	519	32	selection	selection	NOUN
easat-10606	519	33	algorithm	algorithm	NOUN
easat-10606	519	34	to	to	PART
easat-10606	519	35	evaluate	evaluate	VERB
easat-10606	519	36	the	the	DET
easat-10606	519	37	feature	feature	NOUN
easat-10606	519	38	ranks	rank	VERB
easat-10606	519	39	and	and	CCONJ
easat-10606	519	40	determine	determine	VERB
easat-10606	519	41	which	which	DET
easat-10606	519	42	features	feature	NOUN
easat-10606	519	43	are	be	AUX
easat-10606	519	44	most	most	ADV
easat-10606	519	45	important	important	ADJ
easat-10606	519	46	for	for	ADP
easat-10606	519	47	developing	develop	VERB
easat-10606	519	48	a	a	DET
easat-10606	519	49	student	student	NOUN
easat-10606	519	50	feedback	feedback	NOUN
easat-10606	519	51	performance	performance	NOUN
easat-10606	519	52	model	model	NOUN
easat-10606	519	53	.	.	PUNCT
easat-10606	520	1	3.3.3	3.3.3	NUM
easat-10606	520	2	.	.	PUNCT
easat-10606	521	1	splitting	split	VERB
easat-10606	521	2	the	the	DET
easat-10606	521	3	dataset	dataset	NOUN
easat-10606	521	4	collected	collect	VERB
easat-10606	521	5	was	be	AUX
easat-10606	521	6	partitioned	partition	VERB
easat-10606	521	7	into	into	ADP
easat-10606	521	8	90	90	NUM
easat-10606	521	9	%	%	NOUN
easat-10606	521	10	for	for	ADP
easat-10606	521	11	the	the	DET
easat-10606	521	12	training	training	NOUN
easat-10606	521	13	set	set	NOUN
easat-10606	521	14	and	and	CCONJ
easat-10606	521	15	10	10	NUM
easat-10606	521	16	%	%	NOUN
easat-10606	521	17	for	for	ADP
easat-10606	521	18	validation	validation	NOUN
easat-10606	521	19	or	or	CCONJ
easat-10606	521	20	testing	testing	NOUN
easat-10606	521	21	.	.	PUNCT
easat-10606	522	1	this	this	PRON
easat-10606	522	2	resulted	result	VERB
easat-10606	522	3	in	in	ADP
easat-10606	522	4	a	a	DET
easat-10606	522	5	total	total	NOUN
easat-10606	522	6	of	of	ADP
easat-10606	522	7	589	589	NUM
easat-10606	522	8	data	datum	NOUN
easat-10606	522	9	points	point	NOUN
easat-10606	522	10	assigned	assign	VERB
easat-10606	522	11	for	for	ADP
easat-10606	522	12	training	training	NOUN
easat-10606	522	13	and	and	CCONJ
easat-10606	522	14	147	147	NUM
easat-10606	522	15	data	datum	NOUN
easat-10606	522	16	points	point	NOUN
easat-10606	522	17	assigned	assign	VERB
easat-10606	522	18	to	to	ADP
easat-10606	522	19	the	the	DET
easat-10606	522	20	validation	validation	NOUN
easat-10606	522	21	set	set	NOUN
easat-10606	522	22	,	,	PUNCT
easat-10606	522	23	to	to	PART
easat-10606	522	24	continue	continue	VERB
easat-10606	522	25	the	the	DET
easat-10606	522	26	experiments	experiment	NOUN
easat-10606	522	27	with	with	ADP
easat-10606	522	28	the	the	DET
easat-10606	522	29	independent	independent	ADJ
easat-10606	522	30	algorithms	algorithm	NOUN
easat-10606	522	31	and	and	CCONJ
easat-10606	522	32	without	without	ADP
easat-10606	522	33	balancing	balance	VERB
easat-10606	522	34	the	the	DET
easat-10606	522	35	data	datum	NOUN
easat-10606	522	36	.	.	PUNCT
easat-10606	523	1	however	however	ADV
easat-10606	523	2	,	,	PUNCT
easat-10606	523	3	for	for	ADP
easat-10606	523	4	experiment	experiment	NOUN
easat-10606	523	5	2	2	NUM
easat-10606	523	6	,	,	PUNCT
easat-10606	523	7	the	the	DET
easat-10606	523	8	dataset	dataset	NOUN
easat-10606	523	9	was	be	AUX
easat-10606	523	10	increased	increase	VERB
easat-10606	523	11	and	and	CCONJ
easat-10606	523	12	balanced	balance	VERB
easat-10606	523	13	with	with	ADP
easat-10606	523	14	a	a	DET
easat-10606	523	15	total	total	NOUN
easat-10606	523	16	of	of	ADP
easat-10606	523	17	1011	1011	NUM
easat-10606	523	18	observations	observation	NOUN
easat-10606	523	19	.	.	PUNCT
easat-10606	524	1	out	out	ADP
easat-10606	524	2	of	of	ADP
easat-10606	524	3	these	these	PRON
easat-10606	524	4	,	,	PUNCT
easat-10606	524	5	90	90	NUM
easat-10606	524	6	%	%	NOUN
easat-10606	524	7	(	(	PUNCT
easat-10606	524	8	i.e.	i.e.	X
easat-10606	524	9	,	,	PUNCT
easat-10606	524	10	809	809	NUM
easat-10606	524	11	data	datum	NOUN
easat-10606	524	12	points	point	NOUN
easat-10606	524	13	)	)	PUNCT
easat-10606	524	14	were	be	AUX
easat-10606	524	15	allocated	allocate	VERB
easat-10606	524	16	for	for	ADP
easat-10606	524	17	training	training	NOUN
easat-10606	524	18	purposes	purpose	NOUN
easat-10606	524	19	,	,	PUNCT
easat-10606	524	20	while	while	SCONJ
easat-10606	524	21	the	the	DET
easat-10606	524	22	1167	1167	NUM
easat-10606	524	23	edelweiss	edelweiss	PROPN
easat-10606	524	24	applied	apply	VERB
easat-10606	524	25	science	science	NOUN
easat-10606	524	26	and	and	CCONJ
easat-10606	524	27	technology	technology	NOUN
easat-10606	524	28	issn	issn	PROPN
easat-10606	524	29	:	:	PUNCT
easat-10606	524	30	2576	2576	NUM
easat-10606	524	31	-	-	SYM
easat-10606	524	32	8484	8484	NUM
easat-10606	524	33	vol	vol	NOUN
easat-10606	524	34	.	.	PROPN
easat-10606	525	1	9	9	NUM
easat-10606	525	2	,	,	PUNCT
easat-10606	525	3	no	no	INTJ
easat-10606	525	4	.	.	NOUN
easat-10606	525	5	10	10	NUM
easat-10606	525	6	:	:	SYM
easat-10606	525	7	1149	1149	NUM
easat-10606	525	8	-	-	SYM
easat-10606	525	9	1180	1180	NUM
easat-10606	525	10	,	,	PUNCT
easat-10606	525	11	2025	2025	NUM
easat-10606	525	12	doi	doi	NOUN
easat-10606	525	13	:	:	PUNCT
easat-10606	525	14	10.55214/2576	10.55214/2576	NUM
easat-10606	525	15	-	-	SYM
easat-10606	525	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	525	17	©	©	ADP
easat-10606	525	18	2025	2025	NUM
easat-10606	525	19	by	by	ADP
easat-10606	525	20	the	the	DET
easat-10606	525	21	authors	author	NOUN
easat-10606	525	22	;	;	PUNCT
easat-10606	525	23	licensee	licensee	PROPN
easat-10606	525	24	learning	learning	NOUN
easat-10606	525	25	gate	gate	NOUN
easat-10606	525	26	remaining	remain	VERB
easat-10606	525	27	10	10	NUM
easat-10606	525	28	%	%	NOUN
easat-10606	525	29	(	(	PUNCT
easat-10606	525	30	202	202	NUM
easat-10606	525	31	data	data	NOUN
easat-10606	525	32	points	point	NOUN
easat-10606	525	33	)	)	PUNCT
easat-10606	525	34	were	be	AUX
easat-10606	525	35	used	use	VERB
easat-10606	525	36	for	for	ADP
easat-10606	525	37	validation	validation	NOUN
easat-10606	525	38	.	.	PUNCT
easat-10606	526	1	afterwards	afterwards	ADV
easat-10606	526	2	,	,	PUNCT
easat-10606	526	3	the	the	DET
easat-10606	526	4	experiments	experiment	NOUN
easat-10606	526	5	were	be	AUX
easat-10606	526	6	performed	perform	VERB
easat-10606	526	7	with	with	ADP
easat-10606	526	8	the	the	DET
easat-10606	526	9	proposed	propose	VERB
easat-10606	526	10	model	model	NOUN
easat-10606	526	11	to	to	PART
easat-10606	526	12	improve	improve	VERB
easat-10606	526	13	the	the	DET
easat-10606	526	14	results	result	NOUN
easat-10606	526	15	obtained	obtain	VERB
easat-10606	526	16	in	in	ADP
easat-10606	526	17	the	the	DET
easat-10606	526	18	previous	previous	ADJ
easat-10606	526	19	experiment	experiment	NOUN
easat-10606	526	20	.	.	PUNCT
easat-10606	527	1	3.4	3.4	NUM
easat-10606	527	2	.	.	PUNCT
easat-10606	527	3	modelling	modelling	NOUN
easat-10606	527	4	and	and	CCONJ
easat-10606	527	5	evaluation	evaluation	NOUN
easat-10606	527	6	in	in	ADP
easat-10606	527	7	this	this	DET
easat-10606	527	8	research	research	NOUN
easat-10606	527	9	,	,	PUNCT
easat-10606	527	10	stacking	stack	VERB
easat-10606	527	11	ensemble	ensemble	ADJ
easat-10606	527	12	methods	method	NOUN
easat-10606	527	13	are	be	AUX
easat-10606	527	14	applied	apply	VERB
easat-10606	527	15	to	to	PART
easat-10606	527	16	provide	provide	VERB
easat-10606	527	17	an	an	DET
easat-10606	527	18	accurate	accurate	ADJ
easat-10606	527	19	evaluation	evaluation	NOUN
easat-10606	527	20	of	of	ADP
easat-10606	527	21	the	the	DET
easat-10606	527	22	features	feature	NOUN
easat-10606	527	23	that	that	PRON
easat-10606	527	24	may	may	AUX
easat-10606	527	25	impact	impact	VERB
easat-10606	527	26	the	the	DET
easat-10606	527	27	performance	performance	NOUN
easat-10606	527	28	of	of	ADP
easat-10606	527	29	the	the	DET
easat-10606	527	30	student	student	NOUN
easat-10606	527	31	feedback	feedback	NOUN
easat-10606	527	32	system	system	NOUN
easat-10606	527	33	and	and	CCONJ
easat-10606	527	34	to	to	PART
easat-10606	527	35	enhance	enhance	VERB
easat-10606	527	36	the	the	DET
easat-10606	527	37	model	model	NOUN
easat-10606	527	38	's	's	PART
easat-10606	527	39	effectiveness	effectiveness	NOUN
easat-10606	527	40	.	.	PUNCT
easat-10606	528	1	the	the	DET
easat-10606	528	2	stacking	stack	VERB
easat-10606	528	3	ensemble	ensemble	ADJ
easat-10606	528	4	method	method	NOUN
easat-10606	528	5	is	be	AUX
easat-10606	528	6	a	a	DET
easat-10606	528	7	learning	learn	VERB
easat-10606	528	8	approach	approach	NOUN
easat-10606	528	9	that	that	PRON
easat-10606	528	10	combines	combine	VERB
easat-10606	528	11	multiple	multiple	ADJ
easat-10606	528	12	models	model	NOUN
easat-10606	528	13	to	to	PART
easat-10606	528	14	solve	solve	VERB
easat-10606	528	15	a	a	DET
easat-10606	528	16	problem	problem	NOUN
easat-10606	528	17	.	.	PUNCT
easat-10606	529	1	simply	simply	ADV
easat-10606	529	2	put	put	VERB
easat-10606	529	3	,	,	PUNCT
easat-10606	529	4	the	the	DET
easat-10606	529	5	process	process	NOUN
easat-10606	529	6	of	of	ADP
easat-10606	529	7	stacking	stacking	NOUN
easat-10606	529	8	begins	begin	VERB
easat-10606	529	9	by	by	ADP
easat-10606	529	10	obtaining	obtain	VERB
easat-10606	529	11	the	the	DET
easat-10606	529	12	results	result	NOUN
easat-10606	529	13	predicted	predict	VERB
easat-10606	529	14	by	by	ADP
easat-10606	529	15	a	a	DET
easat-10606	529	16	set	set	NOUN
easat-10606	529	17	of	of	ADP
easat-10606	529	18	diverse	diverse	ADJ
easat-10606	529	19	base	base	NOUN
easat-10606	529	20	models	model	NOUN
easat-10606	529	21	or	or	CCONJ
easat-10606	529	22	classifiers	classifier	NOUN
easat-10606	529	23	,	,	PUNCT
easat-10606	529	24	and	and	CCONJ
easat-10606	529	25	then	then	ADV
easat-10606	529	26	optimally	optimally	ADV
easat-10606	529	27	combining	combine	VERB
easat-10606	529	28	these	these	DET
easat-10606	529	29	outputs	output	NOUN
easat-10606	529	30	into	into	ADP
easat-10606	529	31	a	a	DET
easat-10606	529	32	larger	large	ADJ
easat-10606	529	33	framework	framework	NOUN
easat-10606	529	34	using	use	VERB
easat-10606	529	35	a	a	DET
easat-10606	529	36	meta	meta	ADJ
easat-10606	529	37	-	-	PUNCT
easat-10606	529	38	learner	learner	NOUN
easat-10606	529	39	or	or	CCONJ
easat-10606	529	40	model	model	NOUN
easat-10606	529	41	to	to	PART
easat-10606	529	42	generate	generate	VERB
easat-10606	529	43	the	the	DET
easat-10606	529	44	final	final	ADJ
easat-10606	529	45	prediction	prediction	NOUN
easat-10606	529	46	.	.	PUNCT
easat-10606	530	1	in	in	ADP
easat-10606	530	2	other	other	ADJ
easat-10606	530	3	words	word	NOUN
easat-10606	530	4	,	,	PUNCT
easat-10606	530	5	the	the	DET
easat-10606	530	6	outputs	output	NOUN
easat-10606	530	7	of	of	ADP
easat-10606	530	8	various	various	ADJ
easat-10606	530	9	base	base	NOUN
easat-10606	530	10	learners	learner	NOUN
easat-10606	530	11	(	(	PUNCT
easat-10606	530	12	level-0	level-0	NOUN
easat-10606	530	13	)	)	PUNCT
easat-10606	530	14	are	be	AUX
easat-10606	530	15	merged	merge	VERB
easat-10606	530	16	by	by	ADP
easat-10606	530	17	the	the	DET
easat-10606	530	18	meta	meta	ADJ
easat-10606	530	19	-	-	PUNCT
easat-10606	530	20	learner	learner	NOUN
easat-10606	530	21	or	or	CCONJ
easat-10606	530	22	algorithm	algorithm	NOUN
easat-10606	530	23	in	in	ADP
easat-10606	530	24	the	the	DET
easat-10606	530	25	stacking	stack	VERB
easat-10606	530	26	ensemble	ensemble	ADJ
easat-10606	530	27	structure	structure	NOUN
easat-10606	530	28	,	,	PUNCT
easat-10606	530	29	as	as	SCONJ
easat-10606	530	30	depicted	depict	VERB
easat-10606	530	31	in	in	ADP
easat-10606	530	32	fig	fig	NOUN
easat-10606	530	33	.	.	PUNCT
easat-10606	531	1	2	2	X
easat-10606	531	2	.	.	X
easat-10606	531	3	lr	lr	NOUN
easat-10606	531	4	,	,	PUNCT
easat-10606	531	5	svm	svm	PROPN
easat-10606	531	6	,	,	PUNCT
easat-10606	531	7	mlp	mlp	NOUN
easat-10606	531	8	,	,	PUNCT
easat-10606	531	9	and	and	CCONJ
easat-10606	531	10	nb	nb	PROPN
easat-10606	531	11	were	be	AUX
easat-10606	531	12	the	the	DET
easat-10606	531	13	basic	basic	ADJ
easat-10606	531	14	level	level	NOUN
easat-10606	531	15	classifiers	classifier	NOUN
easat-10606	531	16	.	.	PUNCT
easat-10606	532	1	during	during	ADP
easat-10606	532	2	the	the	DET
easat-10606	532	3	modeling	modeling	NOUN
easat-10606	532	4	stage	stage	NOUN
easat-10606	532	5	,	,	PUNCT
easat-10606	532	6	independent	independent	ADJ
easat-10606	532	7	models	model	NOUN
easat-10606	532	8	such	such	ADJ
easat-10606	532	9	as	as	ADP
easat-10606	532	10	lr	lr	PROPN
easat-10606	532	11	,	,	PUNCT
easat-10606	532	12	svm	svm	PROPN
easat-10606	532	13	,	,	PUNCT
easat-10606	532	14	mlp	mlp	NOUN
easat-10606	532	15	,	,	PUNCT
easat-10606	532	16	and	and	CCONJ
easat-10606	532	17	nb	nb	PROPN
easat-10606	532	18	were	be	AUX
easat-10606	532	19	employed	employ	VERB
easat-10606	532	20	.	.	PUNCT
easat-10606	533	1	additionally	additionally	ADV
easat-10606	533	2	,	,	PUNCT
easat-10606	533	3	four	four	NUM
easat-10606	533	4	combined	combined	ADJ
easat-10606	533	5	models	model	NOUN
easat-10606	533	6	that	that	PRON
easat-10606	533	7	included	include	VERB
easat-10606	533	8	stacking	stacking	NOUN
easat-10606	533	9	methods	method	NOUN
easat-10606	533	10	with	with	ADP
easat-10606	533	11	various	various	ADJ
easat-10606	533	12	levels	level	NOUN
easat-10606	533	13	were	be	AUX
easat-10606	533	14	proposed	propose	VERB
easat-10606	533	15	.	.	PUNCT
easat-10606	534	1	3.5	3.5	X
easat-10606	534	2	.	.	PUNCT
easat-10606	535	1	experiment	experiment	NOUN
easat-10606	535	2	the	the	DET
easat-10606	535	3	student	student	NOUN
easat-10606	535	4	feedback	feedback	NOUN
easat-10606	535	5	dataset	dataset	NOUN
easat-10606	535	6	used	use	VERB
easat-10606	535	7	was	be	AUX
easat-10606	535	8	collected	collect	VERB
easat-10606	535	9	from	from	ADP
easat-10606	535	10	the	the	DET
easat-10606	535	11	academic	academic	ADJ
easat-10606	535	12	information	information	NOUN
easat-10606	535	13	system	system	NOUN
easat-10606	535	14	at	at	ADP
easat-10606	535	15	the	the	DET
easat-10606	535	16	computer	computer	NOUN
easat-10606	535	17	division	division	NOUN
easat-10606	535	18	of	of	ADP
easat-10606	535	19	obafemi	obafemi	PROPN
easat-10606	535	20	awolowo	awolowo	PROPN
easat-10606	535	21	university	university	PROPN
easat-10606	535	22	,	,	PUNCT
easat-10606	535	23	a	a	DET
easat-10606	535	24	higher	high	ADJ
easat-10606	535	25	education	education	NOUN
easat-10606	535	26	institution	institution	NOUN
easat-10606	535	27	in	in	ADP
easat-10606	535	28	nigeria	nigeria	PROPN
easat-10606	535	29	.	.	PUNCT
easat-10606	536	1	the	the	DET
easat-10606	536	2	dataset	dataset	NOUN
easat-10606	536	3	included	include	VERB
easat-10606	536	4	information	information	NOUN
easat-10606	536	5	from	from	ADP
easat-10606	536	6	students	student	NOUN
easat-10606	536	7	.	.	PUNCT
easat-10606	537	1	the	the	DET
easat-10606	537	2	experiment	experiment	NOUN
easat-10606	537	3	was	be	AUX
easat-10606	537	4	run	run	VERB
easat-10606	537	5	on	on	ADP
easat-10606	537	6	a	a	DET
easat-10606	537	7	pc	pc	NOUN
easat-10606	537	8	containing	contain	VERB
easat-10606	537	9	6	6	NUM
easat-10606	537	10	gb	gb	NOUN
easat-10606	537	11	of	of	ADP
easat-10606	537	12	ram	ram	NOUN
easat-10606	537	13	,	,	PUNCT
easat-10606	537	14	4	4	NUM
easat-10606	537	15	intel	intel	PROPN
easat-10606	537	16	cores	core	NOUN
easat-10606	537	17	(	(	PUNCT
easat-10606	537	18	2.67ghz	2.67ghz	NUM
easat-10606	537	19	each	each	PRON
easat-10606	537	20	)	)	PUNCT
easat-10606	537	21	,	,	PUNCT
easat-10606	537	22	with	with	ADP
easat-10606	537	23	basic	basic	ADJ
easat-10606	537	24	preprocessing	preprocessing	NOUN
easat-10606	537	25	and	and	CCONJ
easat-10606	537	26	other	other	ADJ
easat-10606	537	27	exclusive	exclusive	ADJ
easat-10606	537	28	hybrid	hybrid	ADJ
easat-10606	537	29	techniques	technique	NOUN
easat-10606	537	30	where	where	SCONJ
easat-10606	537	31	term	term	NOUN
easat-10606	537	32	frequency	frequency	NOUN
easat-10606	537	33	and	and	CCONJ
easat-10606	537	34	outlier	outlier	NOUN
easat-10606	537	35	removal	removal	NOUN
easat-10606	537	36	were	be	AUX
easat-10606	537	37	applied	apply	VERB
easat-10606	537	38	to	to	ADP
easat-10606	537	39	the	the	DET
easat-10606	537	40	dataset	dataset	NOUN
easat-10606	537	41	.	.	PUNCT
easat-10606	538	1	the	the	DET
easat-10606	538	2	cleaned	clean	VERB
easat-10606	538	3	dataset	dataset	NOUN
easat-10606	538	4	was	be	AUX
easat-10606	538	5	fed	feed	VERB
easat-10606	538	6	into	into	ADP
easat-10606	538	7	the	the	DET
easat-10606	538	8	existing	exist	VERB
easat-10606	538	9	machine	machine	NOUN
easat-10606	538	10	learning	learn	VERB
easat-10606	538	11	techniques	technique	NOUN
easat-10606	538	12	:	:	PUNCT
easat-10606	538	13	lr	lr	NOUN
easat-10606	538	14	,	,	PUNCT
easat-10606	538	15	svm	svm	PROPN
easat-10606	538	16	,	,	PUNCT
easat-10606	538	17	mlp	mlp	NOUN
easat-10606	538	18	,	,	PUNCT
easat-10606	538	19	and	and	CCONJ
easat-10606	538	20	multinomial	multinomial	ADJ
easat-10606	538	21	naïve	naïve	ADJ
easat-10606	538	22	bayes	bayes	NOUN
easat-10606	538	23	.	.	PUNCT
easat-10606	539	1	the	the	DET
easat-10606	539	2	entire	entire	ADJ
easat-10606	539	3	dataset	dataset	NOUN
easat-10606	539	4	was	be	AUX
easat-10606	539	5	split	split	VERB
easat-10606	539	6	into	into	ADP
easat-10606	539	7	a	a	DET
easat-10606	539	8	ratio	ratio	NOUN
easat-10606	539	9	of	of	ADP
easat-10606	539	10	90	90	NUM
easat-10606	539	11	%	%	NOUN
easat-10606	539	12	for	for	ADP
easat-10606	539	13	training	training	NOUN
easat-10606	539	14	and	and	CCONJ
easat-10606	539	15	10	10	NUM
easat-10606	539	16	%	%	NOUN
easat-10606	539	17	for	for	ADP
easat-10606	539	18	testing	testing	NOUN
easat-10606	539	19	.	.	PUNCT
easat-10606	540	1	for	for	ADP
easat-10606	540	2	each	each	DET
easat-10606	540	3	algorithm	algorithm	NOUN
easat-10606	540	4	,	,	PUNCT
easat-10606	540	5	the	the	DET
easat-10606	540	6	model	model	NOUN
easat-10606	540	7	was	be	AUX
easat-10606	540	8	produced	produce	VERB
easat-10606	540	9	based	base	VERB
easat-10606	540	10	on	on	ADP
easat-10606	540	11	the	the	DET
easat-10606	540	12	training	training	NOUN
easat-10606	540	13	set	set	NOUN
easat-10606	540	14	.	.	PUNCT
easat-10606	541	1	using	use	VERB
easat-10606	541	2	the	the	DET
easat-10606	541	3	model	model	NOUN
easat-10606	541	4	,	,	PUNCT
easat-10606	541	5	the	the	DET
easat-10606	541	6	opinions	opinion	NOUN
easat-10606	541	7	in	in	ADP
easat-10606	541	8	the	the	DET
easat-10606	541	9	testing	testing	NOUN
easat-10606	541	10	dataset	dataset	NOUN
easat-10606	541	11	were	be	AUX
easat-10606	541	12	predicted	predict	VERB
easat-10606	541	13	and	and	CCONJ
easat-10606	541	14	compared	compare	VERB
easat-10606	541	15	.	.	PUNCT
easat-10606	542	1	the	the	DET
easat-10606	542	2	results	result	NOUN
easat-10606	542	3	are	be	AUX
easat-10606	542	4	displayed	display	VERB
easat-10606	542	5	in	in	ADP
easat-10606	542	6	tables	table	NOUN
easat-10606	542	7	,	,	PUNCT
easat-10606	542	8	charts	chart	NOUN
easat-10606	542	9	,	,	PUNCT
easat-10606	542	10	and	and	CCONJ
easat-10606	542	11	graphs	graph	NOUN
easat-10606	542	12	,	,	PUNCT
easat-10606	542	13	with	with	ADP
easat-10606	542	14	mlp	mlp	NOUN
easat-10606	542	15	achieving	achieve	VERB
easat-10606	542	16	the	the	DET
easat-10606	542	17	best	good	ADJ
easat-10606	542	18	accuracy	accuracy	NOUN
easat-10606	542	19	among	among	ADP
easat-10606	542	20	all	all	DET
easat-10606	542	21	applied	apply	VERB
easat-10606	542	22	machine	machine	NOUN
easat-10606	542	23	learning	learning	NOUN
easat-10606	542	24	algorithms	algorithm	NOUN
easat-10606	542	25	.	.	PUNCT
easat-10606	543	1	for	for	ADP
easat-10606	543	2	the	the	DET
easat-10606	543	3	experiments	experiment	NOUN
easat-10606	543	4	,	,	PUNCT
easat-10606	543	5	the	the	DET
easat-10606	543	6	python	python	NOUN
easat-10606	543	7	programming	programming	NOUN
easat-10606	543	8	language	language	NOUN
easat-10606	543	9	and	and	CCONJ
easat-10606	543	10	its	its	PRON
easat-10606	543	11	libraries	library	NOUN
easat-10606	543	12	such	such	ADJ
easat-10606	543	13	as	as	ADP
easat-10606	543	14	scikit	scikit	NOUN
easat-10606	543	15	-	-	PUNCT
easat-10606	543	16	learn	learn	VERB
easat-10606	543	17	,	,	PUNCT
easat-10606	543	18	joblib	joblib	NOUN
easat-10606	543	19	,	,	PUNCT
easat-10606	543	20	numpy	numpy	NOUN
easat-10606	543	21	,	,	PUNCT
easat-10606	543	22	mlxtend	mlxtend	NOUN
easat-10606	543	23	,	,	PUNCT
easat-10606	543	24	pandas	panda	NOUN
easat-10606	543	25	,	,	PUNCT
easat-10606	543	26	nltk	nltk	PROPN
easat-10606	543	27	,	,	PUNCT
easat-10606	543	28	django	django	NOUN
easat-10606	543	29	framework	framework	NOUN
easat-10606	543	30	,	,	PUNCT
easat-10606	543	31	and	and	CCONJ
easat-10606	543	32	langdetect	langdetect	NOUN
easat-10606	543	33	were	be	AUX
easat-10606	543	34	used	use	VERB
easat-10606	543	35	to	to	PART
easat-10606	543	36	implement	implement	VERB
easat-10606	543	37	the	the	DET
easat-10606	543	38	model	model	NOUN
easat-10606	543	39	,	,	PUNCT
easat-10606	543	40	render	render	VERB
easat-10606	543	41	templates	template	NOUN
easat-10606	543	42	,	,	PUNCT
easat-10606	543	43	and	and	CCONJ
easat-10606	543	44	evaluate	evaluate	VERB
easat-10606	543	45	the	the	DET
easat-10606	543	46	proposed	propose	VERB
easat-10606	543	47	classification	classification	NOUN
easat-10606	543	48	models	model	NOUN
easat-10606	543	49	and	and	CCONJ
easat-10606	543	50	comparisons	comparison	NOUN
easat-10606	543	51	.	.	PUNCT
easat-10606	544	1	all	all	DET
easat-10606	544	2	the	the	DET
easat-10606	544	3	classification	classification	NOUN
easat-10606	544	4	methods	method	NOUN
easat-10606	544	5	are	be	AUX
easat-10606	544	6	trained	train	VERB
easat-10606	544	7	using	use	VERB
easat-10606	544	8	10	10	NUM
easat-10606	544	9	-	-	ADJ
easat-10606	544	10	fold	fold	ADJ
easat-10606	544	11	cross	cross	NOUN
easat-10606	544	12	-	-	NOUN
easat-10606	544	13	validation	validation	NOUN
easat-10606	544	14	.	.	PUNCT
easat-10606	545	1	using	use	VERB
easat-10606	545	2	this	this	DET
easat-10606	545	3	method	method	NOUN
easat-10606	545	4	,	,	PUNCT
easat-10606	545	5	the	the	DET
easat-10606	545	6	dataset	dataset	NOUN
easat-10606	545	7	is	be	AUX
easat-10606	545	8	divided	divide	VERB
easat-10606	545	9	into	into	ADP
easat-10606	545	10	10	10	NUM
easat-10606	545	11	equal	equal	ADJ
easat-10606	545	12	-	-	PUNCT
easat-10606	545	13	sized	sized	ADJ
easat-10606	545	14	subsets	subset	NOUN
easat-10606	545	15	,	,	PUNCT
easat-10606	545	16	nine	nine	NUM
easat-10606	545	17	of	of	ADP
easat-10606	545	18	which	which	PRON
easat-10606	545	19	are	be	AUX
easat-10606	545	20	utilized	utilize	VERB
easat-10606	545	21	for	for	ADP
easat-10606	545	22	training	training	NOUN
easat-10606	545	23	and	and	CCONJ
easat-10606	545	24	one	one	NUM
easat-10606	545	25	for	for	ADP
easat-10606	545	26	testing	testing	NOUN
easat-10606	545	27	.	.	PUNCT
easat-10606	546	1	the	the	DET
easat-10606	546	2	process	process	NOUN
easat-10606	546	3	is	be	AUX
easat-10606	546	4	iterated	iterate	VERB
easat-10606	546	5	ten	ten	NUM
easat-10606	546	6	times	time	NOUN
easat-10606	546	7	,	,	PUNCT
easat-10606	546	8	and	and	CCONJ
easat-10606	546	9	the	the	DET
easat-10606	546	10	final	final	ADJ
easat-10606	546	11	result	result	NOUN
easat-10606	546	12	is	be	AUX
easat-10606	546	13	estimated	estimate	VERB
easat-10606	546	14	as	as	ADP
easat-10606	546	15	the	the	DET
easat-10606	546	16	average	average	ADJ
easat-10606	546	17	error	error	NOUN
easat-10606	546	18	rate	rate	NOUN
easat-10606	546	19	on	on	ADP
easat-10606	546	20	test	test	NOUN
easat-10606	546	21	examples	example	NOUN
easat-10606	546	22	.	.	PUNCT
easat-10606	547	1	once	once	ADV
easat-10606	547	2	the	the	DET
easat-10606	547	3	classification	classification	NOUN
easat-10606	547	4	model	model	NOUN
easat-10606	547	5	has	have	AUX
easat-10606	547	6	been	be	AUX
easat-10606	547	7	trained	train	VERB
easat-10606	547	8	,	,	PUNCT
easat-10606	547	9	the	the	DET
easat-10606	547	10	validation	validation	NOUN
easat-10606	547	11	process	process	NOUN
easat-10606	547	12	begins	begin	VERB
easat-10606	547	13	.	.	PUNCT
easat-10606	548	1	the	the	DET
easat-10606	548	2	validation	validation	NOUN
easat-10606	548	3	process	process	NOUN
easat-10606	548	4	is	be	AUX
easat-10606	548	5	the	the	DET
easat-10606	548	6	last	last	ADJ
easat-10606	548	7	phase	phase	NOUN
easat-10606	548	8	of	of	ADP
easat-10606	548	9	building	build	VERB
easat-10606	548	10	a	a	DET
easat-10606	548	11	predictive	predictive	ADJ
easat-10606	548	12	model	model	NOUN
easat-10606	548	13	,	,	PUNCT
easat-10606	548	14	which	which	PRON
easat-10606	548	15	is	be	AUX
easat-10606	548	16	used	use	VERB
easat-10606	548	17	to	to	PART
easat-10606	548	18	evaluate	evaluate	VERB
easat-10606	548	19	the	the	DET
easat-10606	548	20	performance	performance	NOUN
easat-10606	548	21	of	of	ADP
easat-10606	548	22	the	the	DET
easat-10606	548	23	prediction	prediction	NOUN
easat-10606	548	24	model	model	NOUN
easat-10606	548	25	by	by	ADP
easat-10606	548	26	running	run	VERB
easat-10606	548	27	the	the	DET
easat-10606	548	28	model	model	NOUN
easat-10606	548	29	over	over	ADP
easat-10606	548	30	real	real	ADJ
easat-10606	548	31	data	datum	NOUN
easat-10606	548	32	.	.	PUNCT
easat-10606	549	1	in	in	ADP
easat-10606	549	2	the	the	DET
easat-10606	549	3	experiment	experiment	NOUN
easat-10606	549	4	conducted	conduct	VERB
easat-10606	549	5	,	,	PUNCT
easat-10606	549	6	the	the	DET
easat-10606	549	7	performance	performance	NOUN
easat-10606	549	8	of	of	ADP
easat-10606	549	9	machine	machine	NOUN
easat-10606	549	10	learning	learning	NOUN
easat-10606	549	11	models	model	NOUN
easat-10606	549	12	was	be	AUX
easat-10606	549	13	evaluated	evaluate	VERB
easat-10606	549	14	for	for	ADP
easat-10606	549	15	classification	classification	NOUN
easat-10606	549	16	quality	quality	NOUN
easat-10606	549	17	using	use	VERB
easat-10606	549	18	commonly	commonly	ADV
easat-10606	549	19	used	use	VERB
easat-10606	549	20	measures	measure	NOUN
easat-10606	549	21	:	:	PUNCT
easat-10606	549	22	accuracy	accuracy	NOUN
easat-10606	549	23	,	,	PUNCT
easat-10606	549	24	precision	precision	NOUN
easat-10606	549	25	,	,	PUNCT
easat-10606	549	26	recall	recall	NOUN
easat-10606	549	27	,	,	PUNCT
easat-10606	549	28	and	and	CCONJ
easat-10606	549	29	f	f	X
easat-10606	549	30	-	-	PUNCT
easat-10606	549	31	measure	measure	NOUN
easat-10606	549	32	.	.	PUNCT
easat-10606	550	1	additionally	additionally	ADV
easat-10606	550	2	,	,	PUNCT
easat-10606	550	3	a	a	DET
easat-10606	550	4	confusion	confusion	NOUN
easat-10606	550	5	matrix	matrix	NOUN
easat-10606	550	6	was	be	AUX
easat-10606	550	7	employed	employ	VERB
easat-10606	550	8	to	to	PART
easat-10606	550	9	assess	assess	VERB
easat-10606	550	10	the	the	DET
easat-10606	550	11	performance	performance	NOUN
easat-10606	550	12	of	of	ADP
easat-10606	550	13	the	the	DET
easat-10606	550	14	classification	classification	NOUN
easat-10606	550	15	algorithm	algorithm	NOUN
easat-10606	550	16	,	,	PUNCT
easat-10606	550	17	which	which	PRON
easat-10606	550	18	plots	plot	VERB
easat-10606	550	19	the	the	DET
easat-10606	550	20	number	number	NOUN
easat-10606	550	21	of	of	ADP
easat-10606	550	22	correct	correct	ADJ
easat-10606	550	23	predictions	prediction	NOUN
easat-10606	550	24	against	against	ADP
easat-10606	550	25	incorrect	incorrect	ADJ
easat-10606	550	26	predictions	prediction	NOUN
easat-10606	550	27	,	,	PUNCT
easat-10606	550	28	accounting	account	VERB
easat-10606	550	29	for	for	ADP
easat-10606	550	30	dataset	dataset	ADJ
easat-10606	550	31	imbalances	imbalance	NOUN
easat-10606	550	32	.	.	PUNCT
easat-10606	551	1	the	the	DET
easat-10606	551	2	confusion	confusion	NOUN
easat-10606	551	3	matrix	matrix	NOUN
easat-10606	551	4	is	be	AUX
easat-10606	551	5	based	base	VERB
easat-10606	551	6	on	on	ADP
easat-10606	551	7	actual	actual	ADJ
easat-10606	551	8	and	and	CCONJ
easat-10606	551	9	predicted	predict	VERB
easat-10606	551	10	values	value	NOUN
easat-10606	551	11	for	for	ADP
easat-10606	551	12	positive	positive	ADJ
easat-10606	551	13	,	,	PUNCT
easat-10606	551	14	negative	negative	ADJ
easat-10606	551	15	,	,	PUNCT
easat-10606	551	16	and	and	CCONJ
easat-10606	551	17	neutral	neutral	ADJ
easat-10606	551	18	classes	class	NOUN
easat-10606	551	19	.	.	PUNCT
easat-10606	552	1	this	this	PRON
easat-10606	552	2	is	be	AUX
easat-10606	552	3	a	a	DET
easat-10606	552	4	multi	multi	ADJ
easat-10606	552	5	-	-	ADJ
easat-10606	552	6	class	class	ADJ
easat-10606	552	7	(	(	PUNCT
easat-10606	552	8	3	3	NUM
easat-10606	552	9	-	-	PUNCT
easat-10606	552	10	class	class	NOUN
easat-10606	552	11	)	)	PUNCT
easat-10606	552	12	problem	problem	NOUN
easat-10606	552	13	,	,	PUNCT
easat-10606	552	14	with	with	ADP
easat-10606	552	15	target	target	NOUN
easat-10606	552	16	values	value	NOUN
easat-10606	552	17	:	:	PUNCT
easat-10606	552	18	positive	positive	ADJ
easat-10606	552	19	(	(	PUNCT
easat-10606	552	20	a	a	NOUN
easat-10606	552	21	)	)	PUNCT
easat-10606	552	22	,	,	PUNCT
easat-10606	552	23	negative	negative	ADJ
easat-10606	552	24	(	(	PUNCT
easat-10606	552	25	b	b	NOUN
easat-10606	552	26	)	)	PUNCT
easat-10606	552	27	,	,	PUNCT
easat-10606	552	28	and	and	CCONJ
easat-10606	552	29	neutral	neutral	ADJ
easat-10606	552	30	(	(	PUNCT
easat-10606	552	31	c	c	NOUN
easat-10606	552	32	)	)	PUNCT
easat-10606	552	33	.	.	PUNCT
easat-10606	553	1	the	the	DET
easat-10606	553	2	performance	performance	NOUN
easat-10606	553	3	measures	measure	VERB
easat-10606	553	4	precision	precision	NOUN
easat-10606	553	5	,	,	PUNCT
easat-10606	553	6	recall	recall	NOUN
easat-10606	553	7	,	,	PUNCT
easat-10606	553	8	and	and	CCONJ
easat-10606	553	9	f	f	X
easat-10606	553	10	-	-	PUNCT
easat-10606	553	11	measure	measure	NOUN
easat-10606	553	12	,	,	PUNCT
easat-10606	553	13	were	be	AUX
easat-10606	553	14	calculated	calculate	VERB
easat-10606	553	15	for	for	ADP
easat-10606	553	16	each	each	DET
easat-10606	553	17	class	class	NOUN
easat-10606	553	18	label	label	NOUN
easat-10606	553	19	to	to	PART
easat-10606	553	20	analyze	analyze	VERB
easat-10606	553	21	individual	individual	ADJ
easat-10606	553	22	class	class	NOUN
easat-10606	553	23	performance	performance	NOUN
easat-10606	553	24	.	.	PUNCT
easat-10606	554	1	these	these	DET
easat-10606	554	2	values	value	NOUN
easat-10606	554	3	were	be	AUX
easat-10606	554	4	then	then	ADV
easat-10606	554	5	averaged	average	VERB
easat-10606	554	6	to	to	PART
easat-10606	554	7	determine	determine	VERB
easat-10606	554	8	overall	overall	ADJ
easat-10606	554	9	precision	precision	NOUN
easat-10606	554	10	,	,	PUNCT
easat-10606	554	11	recall	recall	NOUN
easat-10606	554	12	,	,	PUNCT
easat-10606	554	13	and	and	CCONJ
easat-10606	554	14	f	f	X
easat-10606	554	15	-	-	PUNCT
easat-10606	554	16	measure	measure	NOUN
easat-10606	554	17	.	.	PUNCT
easat-10606	555	1	the	the	DET
easat-10606	555	2	calculations	calculation	NOUN
easat-10606	555	3	follow	follow	VERB
easat-10606	555	4	equations	equation	NOUN
easat-10606	555	5	9	9	NUM
easat-10606	555	6	,	,	PUNCT
easat-10606	555	7	10	10	NUM
easat-10606	555	8	,	,	PUNCT
easat-10606	555	9	11	11	NUM
easat-10606	555	10	,	,	PUNCT
easat-10606	555	11	and	and	CCONJ
easat-10606	555	12	12	12	NUM
easat-10606	555	13	,	,	PUNCT
easat-10606	555	14	respectively	respectively	ADV
easat-10606	555	15	.	.	PUNCT
easat-10606	556	1	1168	1168	NUM
easat-10606	556	2	edelweiss	edelweiss	PROPN
easat-10606	556	3	applied	apply	VERB
easat-10606	556	4	science	science	NOUN
easat-10606	556	5	and	and	CCONJ
easat-10606	556	6	technology	technology	NOUN
easat-10606	556	7	issn	issn	PROPN
easat-10606	556	8	:	:	PUNCT
easat-10606	556	9	2576	2576	NUM
easat-10606	556	10	-	-	SYM
easat-10606	556	11	8484	8484	NUM
easat-10606	556	12	vol	vol	NOUN
easat-10606	556	13	.	.	PROPN
easat-10606	557	1	9	9	NUM
easat-10606	557	2	,	,	PUNCT
easat-10606	557	3	no	no	INTJ
easat-10606	557	4	.	.	NOUN
easat-10606	557	5	10	10	NUM
easat-10606	557	6	:	:	SYM
easat-10606	557	7	1149	1149	NUM
easat-10606	557	8	-	-	SYM
easat-10606	557	9	1180	1180	NUM
easat-10606	557	10	,	,	PUNCT
easat-10606	557	11	2025	2025	NUM
easat-10606	557	12	doi	doi	NOUN
easat-10606	557	13	:	:	PUNCT
easat-10606	557	14	10.55214/2576	10.55214/2576	NUM
easat-10606	557	15	-	-	SYM
easat-10606	557	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	557	17	©	©	ADP
easat-10606	557	18	2025	2025	NUM
easat-10606	557	19	by	by	ADP
easat-10606	557	20	the	the	DET
easat-10606	557	21	authors	author	NOUN
easat-10606	557	22	;	;	PUNCT
easat-10606	557	23	licensee	licensee	PROPN
easat-10606	557	24	learning	learning	NOUN
easat-10606	557	25	gate	gate	NOUN
easat-10606	557	26	4	4	PROPN
easat-10606	557	27	.	.	NOUN
easat-10606	557	28	results	result	NOUN
easat-10606	557	29	and	and	CCONJ
easat-10606	557	30	discussion	discussion	NOUN
easat-10606	557	31	4.1	4.1	NUM
easat-10606	557	32	.	.	PUNCT
easat-10606	558	1	results	result	NOUN
easat-10606	558	2	this	this	DET
easat-10606	558	3	section	section	NOUN
easat-10606	558	4	discusses	discuss	VERB
easat-10606	558	5	the	the	DET
easat-10606	558	6	findings	finding	NOUN
easat-10606	558	7	from	from	ADP
easat-10606	558	8	the	the	DET
easat-10606	558	9	individual	individual	ADJ
easat-10606	558	10	models	model	NOUN
easat-10606	558	11	and	and	CCONJ
easat-10606	558	12	proposed	propose	VERB
easat-10606	558	13	combined	combined	ADJ
easat-10606	558	14	models	model	NOUN
easat-10606	558	15	with	with	ADP
easat-10606	558	16	and	and	CCONJ
easat-10606	558	17	without	without	ADP
easat-10606	558	18	data	data	NOUN
easat-10606	558	19	balancing	balancing	NOUN
easat-10606	558	20	.	.	PUNCT
easat-10606	559	1	the	the	DET
easat-10606	559	2	evaluation	evaluation	NOUN
easat-10606	559	3	measures	measure	NOUN
easat-10606	559	4	,	,	PUNCT
easat-10606	559	5	which	which	PRON
easat-10606	559	6	enable	enable	VERB
easat-10606	559	7	the	the	DET
easat-10606	559	8	assessment	assessment	NOUN
easat-10606	559	9	of	of	ADP
easat-10606	559	10	the	the	DET
easat-10606	559	11	effectiveness	effectiveness	NOUN
easat-10606	559	12	of	of	ADP
easat-10606	559	13	the	the	DET
easat-10606	559	14	suggested	suggest	VERB
easat-10606	559	15	models	model	NOUN
easat-10606	559	16	,	,	PUNCT
easat-10606	559	17	are	be	AUX
easat-10606	559	18	also	also	ADV
easat-10606	559	19	provided	provide	VERB
easat-10606	559	20	.	.	PUNCT
easat-10606	560	1	4.1.1	4.1.1	X
easat-10606	560	2	.	.	PUNCT
easat-10606	560	3	algorithm	algorithm	NOUN
easat-10606	560	4	confusion	confusion	NOUN
easat-10606	560	5	matrix	matrix	NOUN
easat-10606	560	6	the	the	DET
easat-10606	560	7	confusion	confusion	NOUN
easat-10606	560	8	matrix	matrix	NOUN
easat-10606	560	9	(	(	PUNCT
easat-10606	560	10	cm	cm	NOUN
easat-10606	560	11	)	)	PUNCT
easat-10606	560	12	helps	help	VERB
easat-10606	560	13	us	we	PRON
easat-10606	560	14	handle	handle	VERB
easat-10606	560	15	data	datum	NOUN
easat-10606	560	16	imbalances	imbalance	NOUN
easat-10606	560	17	;	;	PUNCT
easat-10606	560	18	that	that	PRON
easat-10606	560	19	is	is	ADV
easat-10606	560	20	,	,	PUNCT
easat-10606	560	21	if	if	SCONJ
easat-10606	560	22	the	the	DET
easat-10606	560	23	number	number	NOUN
easat-10606	560	24	of	of	ADP
easat-10606	560	25	observations	observation	NOUN
easat-10606	560	26	varies	vary	VERB
easat-10606	560	27	significantly	significantly	ADV
easat-10606	560	28	,	,	PUNCT
easat-10606	560	29	we	we	PRON
easat-10606	560	30	can	can	AUX
easat-10606	560	31	also	also	ADV
easat-10606	560	32	identify	identify	VERB
easat-10606	560	33	misclassified	misclassified	ADJ
easat-10606	560	34	data	datum	NOUN
easat-10606	560	35	.	.	PUNCT
easat-10606	561	1	the	the	DET
easat-10606	561	2	cm	cm	NOUN
easat-10606	561	3	is	be	AUX
easat-10606	561	4	calculated	calculate	VERB
easat-10606	561	5	from	from	ADP
easat-10606	561	6	the	the	DET
easat-10606	561	7	top	top	ADV
easat-10606	561	8	-	-	PUNCT
easat-10606	561	9	left	leave	VERB
easat-10606	561	10	diagonal	diagonal	NOUN
easat-10606	561	11	to	to	ADP
easat-10606	561	12	the	the	DET
easat-10606	561	13	bottom	bottom	ADJ
easat-10606	561	14	-	-	PUNCT
easat-10606	561	15	right	right	NOUN
easat-10606	561	16	diagonal	diagonal	NOUN
easat-10606	561	17	,	,	PUNCT
easat-10606	561	18	where	where	SCONJ
easat-10606	561	19	the	the	DET
easat-10606	561	20	actual	actual	ADJ
easat-10606	561	21	label	label	NOUN
easat-10606	561	22	and	and	CCONJ
easat-10606	561	23	the	the	DET
easat-10606	561	24	predicted	predict	VERB
easat-10606	561	25	label	label	NOUN
easat-10606	561	26	intersect	intersect	ADJ
easat-10606	561	27	.	.	PUNCT
easat-10606	562	1	it	it	PRON
easat-10606	562	2	is	be	AUX
easat-10606	562	3	a	a	DET
easat-10606	562	4	measurement	measurement	NOUN
easat-10606	562	5	tool	tool	NOUN
easat-10606	562	6	created	create	VERB
easat-10606	562	7	as	as	ADP
easat-10606	562	8	a	a	DET
easat-10606	562	9	table	table	NOUN
easat-10606	562	10	to	to	PART
easat-10606	562	11	visualize	visualize	VERB
easat-10606	562	12	the	the	DET
easat-10606	562	13	performance	performance	NOUN
easat-10606	562	14	of	of	ADP
easat-10606	562	15	an	an	DET
easat-10606	562	16	algorithm	algorithm	NOUN
easat-10606	562	17	or	or	CCONJ
easat-10606	562	18	classifier	classifier	NOUN
easat-10606	562	19	.	.	PUNCT
easat-10606	563	1	the	the	DET
easat-10606	563	2	cm	cm	NOUN
easat-10606	563	3	graph	graph	NOUN
easat-10606	563	4	depicts	depict	VERB
easat-10606	563	5	the	the	DET
easat-10606	563	6	relationship	relationship	NOUN
easat-10606	563	7	between	between	ADP
easat-10606	563	8	correctly	correctly	ADV
easat-10606	563	9	predicted	predict	VERB
easat-10606	563	10	and	and	CCONJ
easat-10606	563	11	incorrectly	incorrectly	ADV
easat-10606	563	12	predicted	predict	VERB
easat-10606	563	13	reviews	review	NOUN
easat-10606	563	14	.	.	PUNCT
easat-10606	564	1	each	each	DET
easat-10606	564	2	row	row	NOUN
easat-10606	564	3	of	of	ADP
easat-10606	564	4	the	the	DET
easat-10606	564	5	matrix	matrix	NOUN
easat-10606	564	6	represents	represent	VERB
easat-10606	564	7	a	a	DET
easat-10606	564	8	predicted	predict	VERB
easat-10606	564	9	value	value	NOUN
easat-10606	564	10	,	,	PUNCT
easat-10606	564	11	while	while	SCONJ
easat-10606	564	12	the	the	DET
easat-10606	564	13	column	column	NOUN
easat-10606	564	14	displays	display	VERB
easat-10606	564	15	the	the	DET
easat-10606	564	16	actual	actual	ADJ
easat-10606	564	17	value	value	NOUN
easat-10606	564	18	,	,	PUNCT
easat-10606	564	19	or	or	CCONJ
easat-10606	564	20	vice	vice	NOUN
easat-10606	564	21	versa	versa	ADV
easat-10606	564	22	.	.	PUNCT
easat-10606	565	1	the	the	DET
easat-10606	565	2	number	number	NOUN
easat-10606	565	3	of	of	ADP
easat-10606	565	4	positive	positive	ADJ
easat-10606	565	5	feedbacks	feedback	NOUN
easat-10606	565	6	correctly	correctly	ADV
easat-10606	565	7	predicted	predict	VERB
easat-10606	565	8	by	by	ADP
easat-10606	565	9	the	the	DET
easat-10606	565	10	classifier	classifier	NOUN
easat-10606	565	11	is	be	AUX
easat-10606	565	12	represented	represent	VERB
easat-10606	565	13	by	by	ADP
easat-10606	565	14	true	true	ADJ
easat-10606	565	15	positives	positive	NOUN
easat-10606	565	16	(	(	PUNCT
easat-10606	565	17	tp	tp	NOUN
easat-10606	565	18	)	)	PUNCT
easat-10606	565	19	,	,	PUNCT
easat-10606	565	20	whereas	whereas	SCONJ
easat-10606	565	21	the	the	DET
easat-10606	565	22	number	number	NOUN
easat-10606	565	23	of	of	ADP
easat-10606	565	24	positive	positive	ADJ
easat-10606	565	25	feedbacks	feedback	NOUN
easat-10606	565	26	incorrectly	incorrectly	ADV
easat-10606	565	27	predicted	predict	VERB
easat-10606	565	28	is	be	AUX
easat-10606	565	29	denoted	denote	VERB
easat-10606	565	30	by	by	ADP
easat-10606	565	31	false	false	ADJ
easat-10606	565	32	positives	positive	NOUN
easat-10606	565	33	(	(	PUNCT
easat-10606	565	34	fp	fp	NOUN
easat-10606	565	35	)	)	PUNCT
easat-10606	565	36	.	.	PUNCT
easat-10606	566	1	similarly	similarly	ADV
easat-10606	566	2	,	,	PUNCT
easat-10606	566	3	true	true	ADJ
easat-10606	566	4	negatives	negative	NOUN
easat-10606	566	5	(	(	PUNCT
easat-10606	566	6	tn	tn	NOUN
easat-10606	566	7	)	)	PUNCT
easat-10606	566	8	refer	refer	VERB
easat-10606	566	9	to	to	ADP
easat-10606	566	10	the	the	DET
easat-10606	566	11	number	number	NOUN
easat-10606	566	12	of	of	ADP
easat-10606	566	13	negative	negative	ADJ
easat-10606	566	14	reviews	review	NOUN
easat-10606	566	15	or	or	CCONJ
easat-10606	566	16	opinions	opinion	NOUN
easat-10606	566	17	correctly	correctly	ADV
easat-10606	566	18	predicted	predict	VERB
easat-10606	566	19	,	,	PUNCT
easat-10606	566	20	while	while	SCONJ
easat-10606	566	21	false	false	ADJ
easat-10606	566	22	negatives	negative	NOUN
easat-10606	566	23	(	(	PUNCT
easat-10606	566	24	fn	fn	NOUN
easat-10606	566	25	)	)	PUNCT
easat-10606	566	26	refer	refer	VERB
easat-10606	566	27	to	to	ADP
easat-10606	566	28	negative	negative	ADJ
easat-10606	566	29	reviews	review	NOUN
easat-10606	566	30	incorrectly	incorrectly	ADV
easat-10606	566	31	classified	classify	VERB
easat-10606	566	32	as	as	ADP
easat-10606	566	33	positive	positive	ADJ
easat-10606	566	34	.	.	PUNCT
easat-10606	567	1	figure	figure	NOUN
easat-10606	567	2	5	5	NUM
easat-10606	567	3	shows	show	VERB
easat-10606	567	4	that	that	SCONJ
easat-10606	567	5	from	from	ADP
easat-10606	567	6	the	the	DET
easat-10606	567	7	first	first	ADJ
easat-10606	567	8	row	row	NOUN
easat-10606	567	9	,	,	PUNCT
easat-10606	567	10	out	out	ADP
easat-10606	567	11	of	of	ADP
easat-10606	567	12	a	a	DET
easat-10606	567	13	total	total	NOUN
easat-10606	567	14	of	of	ADP
easat-10606	567	15	21	21	NUM
easat-10606	567	16	comments	comment	NOUN
easat-10606	567	17	given	give	VERB
easat-10606	567	18	by	by	ADP
easat-10606	567	19	students	student	NOUN
easat-10606	567	20	,	,	PUNCT
easat-10606	567	21	10	10	NUM
easat-10606	567	22	have	have	AUX
easat-10606	567	23	been	be	AUX
easat-10606	567	24	correctly	correctly	ADV
easat-10606	567	25	predicted	predict	VERB
easat-10606	567	26	as	as	ADP
easat-10606	567	27	negative	negative	ADJ
easat-10606	567	28	,	,	PUNCT
easat-10606	567	29	and	and	CCONJ
easat-10606	567	30	therefore	therefore	ADV
easat-10606	567	31	incorrectly	incorrectly	ADV
easat-10606	567	32	predicted	predict	VERB
easat-10606	567	33	as	as	ADP
easat-10606	567	34	positive	positive	ADJ
easat-10606	567	35	;	;	PUNCT
easat-10606	567	36	8	8	NUM
easat-10606	567	37	have	have	AUX
easat-10606	567	38	been	be	AUX
easat-10606	567	39	wrongly	wrongly	ADV
easat-10606	567	40	predicted	predict	VERB
easat-10606	567	41	as	as	ADP
easat-10606	567	42	neutral	neutral	ADJ
easat-10606	567	43	;	;	PUNCT
easat-10606	567	44	and	and	CCONJ
easat-10606	567	45	3	3	NUM
easat-10606	567	46	have	have	AUX
easat-10606	567	47	been	be	AUX
easat-10606	567	48	wrongly	wrongly	ADV
easat-10606	567	49	predicted	predict	VERB
easat-10606	567	50	as	as	ADP
easat-10606	567	51	positive	positive	ADJ
easat-10606	567	52	.	.	PUNCT
easat-10606	568	1	from	from	ADP
easat-10606	568	2	the	the	DET
easat-10606	568	3	second	second	ADJ
easat-10606	568	4	row	row	NOUN
easat-10606	568	5	,	,	PUNCT
easat-10606	568	6	with	with	ADP
easat-10606	568	7	a	a	DET
easat-10606	568	8	total	total	NOUN
easat-10606	568	9	of	of	ADP
easat-10606	568	10	9	9	NUM
easat-10606	568	11	comments	comment	NOUN
easat-10606	568	12	,	,	PUNCT
easat-10606	568	13	1	1	NUM
easat-10606	568	14	has	have	AUX
easat-10606	568	15	been	be	AUX
easat-10606	568	16	correctly	correctly	ADV
easat-10606	568	17	predicted	predict	VERB
easat-10606	568	18	as	as	ADP
easat-10606	568	19	negative	negative	ADJ
easat-10606	568	20	;	;	PUNCT
easat-10606	568	21	4	4	NUM
easat-10606	568	22	have	have	AUX
easat-10606	568	23	been	be	AUX
easat-10606	568	24	wrongly	wrongly	ADV
easat-10606	568	25	predicted	predict	VERB
easat-10606	568	26	as	as	ADP
easat-10606	568	27	neutral	neutral	ADJ
easat-10606	568	28	;	;	PUNCT
easat-10606	568	29	and	and	CCONJ
easat-10606	568	30	4	4	NUM
easat-10606	568	31	have	have	AUX
easat-10606	568	32	been	be	AUX
easat-10606	568	33	wrongly	wrongly	ADV
easat-10606	568	34	predicted	predict	VERB
easat-10606	568	35	as	as	ADP
easat-10606	568	36	positive	positive	ADJ
easat-10606	568	37	.	.	PUNCT
easat-10606	569	1	in	in	ADP
easat-10606	569	2	the	the	DET
easat-10606	569	3	third	third	ADJ
easat-10606	569	4	row	row	NOUN
easat-10606	569	5	,	,	PUNCT
easat-10606	569	6	0	0	NUM
easat-10606	569	7	comments	comment	NOUN
easat-10606	569	8	have	have	AUX
easat-10606	569	9	been	be	AUX
easat-10606	569	10	correctly	correctly	ADV
easat-10606	569	11	predicted	predict	VERB
easat-10606	569	12	as	as	ADP
easat-10606	569	13	negative	negative	ADJ
easat-10606	569	14	;	;	PUNCT
easat-10606	569	15	1	1	NUM
easat-10606	569	16	has	have	AUX
easat-10606	569	17	been	be	AUX
easat-10606	569	18	wrongly	wrongly	ADV
easat-10606	569	19	predicted	predict	VERB
easat-10606	569	20	as	as	ADP
easat-10606	569	21	neutral	neutral	ADJ
easat-10606	569	22	;	;	PUNCT
easat-10606	569	23	and	and	CCONJ
easat-10606	569	24	30	30	NUM
easat-10606	569	25	have	have	AUX
easat-10606	569	26	been	be	AUX
easat-10606	569	27	wrongly	wrongly	ADV
easat-10606	569	28	predicted	predict	VERB
easat-10606	569	29	as	as	ADP
easat-10606	569	30	positive	positive	ADJ
easat-10606	569	31	.	.	PUNCT
easat-10606	570	1	figure	figure	NOUN
easat-10606	570	2	6	6	NUM
easat-10606	570	3	shows	show	VERB
easat-10606	570	4	that	that	SCONJ
easat-10606	570	5	from	from	ADP
easat-10606	570	6	the	the	DET
easat-10606	570	7	first	first	ADJ
easat-10606	570	8	row	row	NOUN
easat-10606	570	9	,	,	PUNCT
easat-10606	570	10	out	out	ADP
easat-10606	570	11	of	of	ADP
easat-10606	570	12	a	a	DET
easat-10606	570	13	total	total	NOUN
easat-10606	570	14	of	of	ADP
easat-10606	570	15	45	45	NUM
easat-10606	570	16	comments	comment	NOUN
easat-10606	570	17	given	give	VERB
easat-10606	570	18	by	by	ADP
easat-10606	570	19	students	student	NOUN
easat-10606	570	20	,	,	PUNCT
easat-10606	570	21	37	37	NUM
easat-10606	570	22	have	have	AUX
easat-10606	570	23	been	be	AUX
easat-10606	570	24	correctly	correctly	ADV
easat-10606	570	25	predicted	predict	VERB
easat-10606	570	26	as	as	ADP
easat-10606	570	27	negative	negative	ADJ
easat-10606	570	28	,	,	PUNCT
easat-10606	570	29	and	and	CCONJ
easat-10606	570	30	hence	hence	ADV
easat-10606	570	31	incorrectly	incorrectly	ADV
easat-10606	570	32	predicted	predict	VERB
easat-10606	570	33	as	as	ADP
easat-10606	570	34	negative	negative	ADJ
easat-10606	570	35	,	,	PUNCT
easat-10606	570	36	5	5	NUM
easat-10606	570	37	have	have	AUX
easat-10606	570	38	been	be	AUX
easat-10606	570	39	wrongly	wrongly	ADV
easat-10606	570	40	predicted	predict	VERB
easat-10606	570	41	as	as	ADP
easat-10606	570	42	neutral	neutral	ADJ
easat-10606	570	43	,	,	PUNCT
easat-10606	570	44	and	and	CCONJ
easat-10606	570	45	3	3	NUM
easat-10606	570	46	have	have	AUX
easat-10606	570	47	been	be	AUX
easat-10606	570	48	wrongly	wrongly	ADV
easat-10606	570	49	predicted	predict	VERB
easat-10606	570	50	as	as	ADP
easat-10606	570	51	positive	positive	ADJ
easat-10606	570	52	.	.	PUNCT
easat-10606	571	1	on	on	ADP
easat-10606	571	2	the	the	DET
easat-10606	571	3	second	second	ADJ
easat-10606	571	4	row	row	NOUN
easat-10606	571	5	,	,	PUNCT
easat-10606	571	6	out	out	ADP
easat-10606	571	7	of	of	ADP
easat-10606	571	8	a	a	DET
easat-10606	571	9	total	total	NOUN
easat-10606	571	10	of	of	ADP
easat-10606	571	11	52	52	NUM
easat-10606	571	12	comments	comment	NOUN
easat-10606	571	13	,	,	PUNCT
easat-10606	571	14	4	4	NUM
easat-10606	571	15	have	have	AUX
easat-10606	571	16	been	be	AUX
easat-10606	571	17	correctly	correctly	ADV
easat-10606	571	18	predicted	predict	VERB
easat-10606	571	19	as	as	ADP
easat-10606	571	20	negative	negative	ADJ
easat-10606	571	21	,	,	PUNCT
easat-10606	571	22	and	and	CCONJ
easat-10606	571	23	hence	hence	ADV
easat-10606	571	24	incorrectly	incorrectly	ADV
easat-10606	571	25	predicted	predict	VERB
easat-10606	571	26	as	as	ADP
easat-10606	571	27	negative	negative	ADJ
easat-10606	571	28	,	,	PUNCT
easat-10606	571	29	32	32	NUM
easat-10606	571	30	have	have	AUX
easat-10606	571	31	been	be	AUX
easat-10606	571	32	wrongly	wrongly	ADV
easat-10606	571	33	predicted	predict	VERB
easat-10606	571	34	as	as	ADP
easat-10606	571	35	neutral	neutral	ADJ
easat-10606	571	36	,	,	PUNCT
easat-10606	571	37	and	and	CCONJ
easat-10606	571	38	16	16	NUM
easat-10606	571	39	have	have	AUX
easat-10606	571	40	been	be	AUX
easat-10606	571	41	wrongly	wrongly	ADV
easat-10606	571	42	predicted	predict	VERB
easat-10606	571	43	as	as	ADP
easat-10606	571	44	positive	positive	ADJ
easat-10606	571	45	.	.	PUNCT
easat-10606	572	1	on	on	ADP
easat-10606	572	2	the	the	DET
easat-10606	572	3	third	third	ADJ
easat-10606	572	4	row	row	NOUN
easat-10606	572	5	,	,	PUNCT
easat-10606	572	6	out	out	ADP
easat-10606	572	7	of	of	ADP
easat-10606	572	8	a	a	DET
easat-10606	572	9	total	total	NOUN
easat-10606	572	10	of	of	ADP
easat-10606	572	11	106	106	NUM
easat-10606	572	12	comments	comment	NOUN
easat-10606	572	13	,	,	PUNCT
easat-10606	572	14	3	3	NUM
easat-10606	572	15	have	have	AUX
easat-10606	572	16	been	be	AUX
easat-10606	572	17	correctly	correctly	ADV
easat-10606	572	18	predicted	predict	VERB
easat-10606	572	19	as	as	ADP
easat-10606	572	20	negative	negative	ADJ
easat-10606	572	21	,	,	PUNCT
easat-10606	572	22	and	and	CCONJ
easat-10606	572	23	hence	hence	ADV
easat-10606	572	24	incorrectly	incorrectly	ADV
easat-10606	572	25	predicted	predict	VERB
easat-10606	572	26	as	as	ADP
easat-10606	572	27	negative	negative	ADJ
easat-10606	572	28	,	,	PUNCT
easat-10606	572	29	14	14	NUM
easat-10606	572	30	have	have	AUX
easat-10606	572	31	been	be	AUX
easat-10606	572	32	wrongly	wrongly	ADV
easat-10606	572	33	predicted	predict	VERB
easat-10606	572	34	as	as	ADP
easat-10606	572	35	neutral	neutral	ADJ
easat-10606	572	36	,	,	PUNCT
easat-10606	572	37	and	and	CCONJ
easat-10606	572	38	89	89	NUM
easat-10606	572	39	have	have	AUX
easat-10606	572	40	been	be	AUX
easat-10606	572	41	wrongly	wrongly	ADV
easat-10606	572	42	predicted	predict	VERB
easat-10606	572	43	as	as	ADP
easat-10606	572	44	positive	positive	ADJ
easat-10606	572	45	.	.	PUNCT
easat-10606	573	1	fig.7	fig.7	ADJ
easat-10606	573	2	shows	show	VERB
easat-10606	573	3	that	that	SCONJ
easat-10606	573	4	,	,	PUNCT
easat-10606	573	5	from	from	ADP
easat-10606	573	6	the	the	DET
easat-10606	573	7	first	first	ADJ
easat-10606	573	8	row	row	NOUN
easat-10606	573	9	,	,	PUNCT
easat-10606	573	10	out	out	ADP
easat-10606	573	11	of	of	ADP
easat-10606	573	12	a	a	DET
easat-10606	573	13	total	total	NOUN
easat-10606	573	14	of	of	ADP
easat-10606	573	15	39	39	NUM
easat-10606	573	16	comments	comment	NOUN
easat-10606	573	17	given	give	VERB
easat-10606	573	18	by	by	ADP
easat-10606	573	19	students	student	NOUN
easat-10606	573	20	,	,	PUNCT
easat-10606	573	21	38	38	NUM
easat-10606	573	22	have	have	AUX
easat-10606	573	23	been	be	AUX
easat-10606	573	24	correctly	correctly	ADV
easat-10606	573	25	predicted	predict	VERB
easat-10606	573	26	as	as	ADP
easat-10606	573	27	negative	negative	ADJ
easat-10606	573	28	,	,	PUNCT
easat-10606	573	29	and	and	CCONJ
easat-10606	573	30	hence	hence	ADV
easat-10606	573	31	incorrectly	incorrectly	ADV
easat-10606	573	32	predicted	predict	VERB
easat-10606	573	33	as	as	ADP
easat-10606	573	34	positive	positive	ADJ
easat-10606	573	35	;	;	PUNCT
easat-10606	573	36	0	0	NUM
easat-10606	573	37	have	have	AUX
easat-10606	573	38	been	be	AUX
easat-10606	573	39	wrongly	wrongly	ADV
easat-10606	573	40	predicted	predict	VERB
easat-10606	573	41	as	as	ADP
easat-10606	573	42	neutral	neutral	ADJ
easat-10606	573	43	;	;	PUNCT
easat-10606	573	44	and	and	CCONJ
easat-10606	573	45	1	1	NUM
easat-10606	573	46	has	have	AUX
easat-10606	573	47	been	be	AUX
easat-10606	573	48	wrongly	wrongly	ADV
easat-10606	573	49	predicted	predict	VERB
easat-10606	573	50	as	as	ADP
easat-10606	573	51	positive	positive	ADJ
easat-10606	573	52	.	.	PUNCT
easat-10606	574	1	in	in	ADP
easat-10606	574	2	the	the	DET
easat-10606	574	3	second	second	ADJ
easat-10606	574	4	row	row	NOUN
easat-10606	574	5	,	,	PUNCT
easat-10606	574	6	out	out	ADP
easat-10606	574	7	of	of	ADP
easat-10606	574	8	56	56	NUM
easat-10606	574	9	1169	1169	NUM
easat-10606	574	10	edelweiss	edelweiss	PROPN
easat-10606	574	11	applied	apply	VERB
easat-10606	574	12	science	science	NOUN
easat-10606	574	13	and	and	CCONJ
easat-10606	574	14	technology	technology	NOUN
easat-10606	574	15	issn	issn	PROPN
easat-10606	574	16	:	:	PUNCT
easat-10606	574	17	2576	2576	NUM
easat-10606	574	18	-	-	SYM
easat-10606	574	19	8484	8484	NUM
easat-10606	574	20	vol	vol	NOUN
easat-10606	574	21	.	.	PROPN
easat-10606	575	1	9	9	NUM
easat-10606	575	2	,	,	PUNCT
easat-10606	575	3	no	no	INTJ
easat-10606	575	4	.	.	NOUN
easat-10606	575	5	10	10	NUM
easat-10606	575	6	:	:	SYM
easat-10606	575	7	1149	1149	NUM
easat-10606	575	8	-	-	SYM
easat-10606	575	9	1180	1180	NUM
easat-10606	575	10	,	,	PUNCT
easat-10606	575	11	2025	2025	NUM
easat-10606	575	12	doi	doi	NOUN
easat-10606	575	13	:	:	PUNCT
easat-10606	575	14	10.55214/2576	10.55214/2576	NUM
easat-10606	575	15	-	-	SYM
easat-10606	575	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	575	17	©	©	ADP
easat-10606	575	18	2025	2025	NUM
easat-10606	575	19	by	by	ADP
easat-10606	575	20	the	the	DET
easat-10606	575	21	authors	author	NOUN
easat-10606	575	22	;	;	PUNCT
easat-10606	575	23	licensee	licensee	PROPN
easat-10606	575	24	learning	learn	VERB
easat-10606	575	25	gate	gate	PROPN
easat-10606	575	26	comments	comment	NOUN
easat-10606	575	27	,	,	PUNCT
easat-10606	575	28	45	45	NUM
easat-10606	575	29	have	have	AUX
easat-10606	575	30	been	be	AUX
easat-10606	575	31	correctly	correctly	ADV
easat-10606	575	32	predicted	predict	VERB
easat-10606	575	33	as	as	ADP
easat-10606	575	34	negative	negative	ADJ
easat-10606	575	35	;	;	PUNCT
easat-10606	575	36	3	3	NUM
easat-10606	575	37	have	have	AUX
easat-10606	575	38	been	be	AUX
easat-10606	575	39	wrongly	wrongly	ADV
easat-10606	575	40	predicted	predict	VERB
easat-10606	575	41	as	as	ADP
easat-10606	575	42	neutral	neutral	ADJ
easat-10606	575	43	;	;	PUNCT
easat-10606	575	44	and	and	CCONJ
easat-10606	575	45	8	8	NUM
easat-10606	575	46	have	have	AUX
easat-10606	575	47	been	be	AUX
easat-10606	575	48	wrongly	wrongly	ADV
easat-10606	575	49	predicted	predict	VERB
easat-10606	575	50	as	as	ADP
easat-10606	575	51	positive	positive	ADJ
easat-10606	575	52	.	.	PUNCT
easat-10606	576	1	in	in	ADP
easat-10606	576	2	the	the	DET
easat-10606	576	3	third	third	ADJ
easat-10606	576	4	row	row	NOUN
easat-10606	576	5	,	,	PUNCT
easat-10606	576	6	out	out	ADP
easat-10606	576	7	of	of	ADP
easat-10606	576	8	53	53	NUM
easat-10606	576	9	comments	comment	NOUN
easat-10606	576	10	,	,	PUNCT
easat-10606	576	11	34	34	NUM
easat-10606	576	12	have	have	AUX
easat-10606	576	13	been	be	AUX
easat-10606	576	14	correctly	correctly	ADV
easat-10606	576	15	predicted	predict	VERB
easat-10606	576	16	as	as	ADP
easat-10606	576	17	negative	negative	ADJ
easat-10606	576	18	;	;	PUNCT
easat-10606	576	19	12	12	NUM
easat-10606	576	20	have	have	AUX
easat-10606	576	21	been	be	AUX
easat-10606	576	22	wrongly	wrongly	ADV
easat-10606	576	23	predicted	predict	VERB
easat-10606	576	24	as	as	ADP
easat-10606	576	25	neutral	neutral	ADJ
easat-10606	576	26	;	;	PUNCT
easat-10606	576	27	and	and	CCONJ
easat-10606	576	28	7	7	NUM
easat-10606	576	29	have	have	AUX
easat-10606	576	30	been	be	AUX
easat-10606	576	31	wrongly	wrongly	ADV
easat-10606	576	32	predicted	predict	VERB
easat-10606	576	33	as	as	ADP
easat-10606	576	34	positive	positive	ADJ
easat-10606	576	35	.	.	PUNCT
easat-10606	577	1	4.1.2	4.1.2	NUM
easat-10606	577	2	.	.	PUNCT
easat-10606	577	3	evaluation	evaluation	NOUN
easat-10606	577	4	metrics	metric	NOUN
easat-10606	577	5	4.1.2.1	4.1.2.1	NUM
easat-10606	577	6	.	.	PUNCT
easat-10606	577	7	accuracy	accuracy	NOUN
easat-10606	577	8	the	the	DET
easat-10606	577	9	accuracy	accuracy	NOUN
easat-10606	577	10	is	be	AUX
easat-10606	577	11	the	the	DET
easat-10606	577	12	total	total	ADJ
easat-10606	577	13	number	number	NOUN
easat-10606	577	14	of	of	ADP
easat-10606	577	15	correct	correct	ADJ
easat-10606	577	16	predictions	prediction	NOUN
easat-10606	577	17	divided	divide	VERB
easat-10606	577	18	by	by	ADP
easat-10606	577	19	the	the	DET
easat-10606	577	20	total	total	ADJ
easat-10606	577	21	number	number	NOUN
easat-10606	577	22	of	of	ADP
easat-10606	577	23	predictions	prediction	NOUN
easat-10606	577	24	made	make	VERB
easat-10606	577	25	for	for	ADP
easat-10606	577	26	a	a	DET
easat-10606	577	27	dataset	dataset	NOUN
easat-10606	577	28	.	.	PUNCT
easat-10606	578	1	it	it	PRON
easat-10606	578	2	provides	provide	VERB
easat-10606	578	3	a	a	DET
easat-10606	578	4	positive	positive	ADJ
easat-10606	578	5	indication	indication	NOUN
easat-10606	578	6	of	of	ADP
easat-10606	578	7	how	how	SCONJ
easat-10606	578	8	well	well	ADV
easat-10606	578	9	the	the	DET
easat-10606	578	10	model	model	NOUN
easat-10606	578	11	is	be	AUX
easat-10606	578	12	performing	perform	VERB
easat-10606	578	13	in	in	ADP
easat-10606	578	14	terms	term	NOUN
easat-10606	578	15	of	of	ADP
easat-10606	578	16	generating	generate	VERB
easat-10606	578	17	correct	correct	ADJ
easat-10606	578	18	predictions	prediction	NOUN
easat-10606	578	19	.	.	PUNCT
easat-10606	579	1	the	the	DET
easat-10606	579	2	high	high	ADJ
easat-10606	579	3	accuracy	accuracy	NOUN
easat-10606	579	4	value	value	NOUN
easat-10606	579	5	obtained	obtain	VERB
easat-10606	579	6	indicates	indicate	VERB
easat-10606	579	7	that	that	SCONJ
easat-10606	579	8	the	the	DET
easat-10606	579	9	model	model	NOUN
easat-10606	579	10	is	be	AUX
easat-10606	579	11	correctly	correctly	ADV
easat-10606	579	12	identifying	identify	VERB
easat-10606	579	13	the	the	DET
easat-10606	579	14	underlying	underlie	VERB
easat-10606	579	15	trends	trend	NOUN
easat-10606	579	16	in	in	ADP
easat-10606	579	17	the	the	DET
easat-10606	579	18	data	datum	NOUN
easat-10606	579	19	and	and	CCONJ
easat-10606	579	20	delivering	deliver	VERB
easat-10606	579	21	reliable	reliable	ADJ
easat-10606	579	22	findings	finding	NOUN
easat-10606	579	23	.	.	PUNCT
easat-10606	580	1	it	it	PRON
easat-10606	580	2	enables	enable	VERB
easat-10606	580	3	comparison	comparison	NOUN
easat-10606	580	4	between	between	ADP
easat-10606	580	5	different	different	ADJ
easat-10606	580	6	algorithms	algorithm	NOUN
easat-10606	580	7	or	or	CCONJ
easat-10606	580	8	variations	variation	NOUN
easat-10606	580	9	of	of	ADP
easat-10606	580	10	the	the	DET
easat-10606	580	11	same	same	ADJ
easat-10606	580	12	model	model	NOUN
easat-10606	580	13	.	.	PUNCT
easat-10606	581	1	tables	table	NOUN
easat-10606	581	2	1	1	NUM
easat-10606	581	3	and	and	CCONJ
easat-10606	581	4	2	2	NUM
easat-10606	581	5	show	show	VERB
easat-10606	581	6	the	the	DET
easat-10606	581	7	results	result	NOUN
easat-10606	581	8	obtained	obtain	VERB
easat-10606	581	9	from	from	ADP
easat-10606	581	10	performance	performance	NOUN
easat-10606	581	11	analysis	analysis	NOUN
easat-10606	581	12	concerning	concern	VERB
easat-10606	581	13	the	the	DET
easat-10606	581	14	accuracy	accuracy	NOUN
easat-10606	581	15	of	of	ADP
easat-10606	581	16	existing	exist	VERB
easat-10606	581	17	machine	machine	NOUN
easat-10606	581	18	learning	learn	VERB
easat-10606	581	19	algorithms	algorithm	NOUN
easat-10606	581	20	and	and	CCONJ
easat-10606	581	21	the	the	DET
easat-10606	581	22	proposed	propose	VERB
easat-10606	581	23	stacking	stack	VERB
easat-10606	581	24	ensemble	ensemble	ADJ
easat-10606	581	25	model	model	NOUN
easat-10606	581	26	.	.	PUNCT
easat-10606	582	1	similarly	similarly	ADV
easat-10606	582	2	,	,	PUNCT
easat-10606	582	3	based	base	VERB
easat-10606	582	4	on	on	ADP
easat-10606	582	5	the	the	DET
easat-10606	582	6	confusion	confusion	NOUN
easat-10606	582	7	matrix	matrix	NOUN
easat-10606	582	8	value	value	NOUN
easat-10606	582	9	,	,	PUNCT
easat-10606	582	10	classification	classification	NOUN
easat-10606	582	11	accuracy	accuracy	NOUN
easat-10606	582	12	,	,	PUNCT
easat-10606	582	13	and	and	CCONJ
easat-10606	582	14	other	other	ADJ
easat-10606	582	15	metrics	metric	NOUN
easat-10606	582	16	,	,	PUNCT
easat-10606	582	17	namely	namely	ADV
easat-10606	582	18	precision	precision	NOUN
easat-10606	582	19	,	,	PUNCT
easat-10606	582	20	recall	recall	NOUN
easat-10606	582	21	,	,	PUNCT
easat-10606	582	22	and	and	CCONJ
easat-10606	582	23	f	f	X
easat-10606	582	24	-	-	PUNCT
easat-10606	582	25	measure	measure	NOUN
easat-10606	582	26	,	,	PUNCT
easat-10606	582	27	have	have	AUX
easat-10606	582	28	been	be	AUX
easat-10606	582	29	evaluated	evaluate	VERB
easat-10606	582	30	,	,	PUNCT
easat-10606	582	31	and	and	CCONJ
easat-10606	582	32	the	the	DET
easat-10606	582	33	results	result	NOUN
easat-10606	582	34	are	be	AUX
easat-10606	582	35	tabulated	tabulate	VERB
easat-10606	582	36	in	in	ADP
easat-10606	582	37	table	table	NOUN
easat-10606	582	38	2	2	NUM
easat-10606	582	39	.	.	PUNCT
easat-10606	582	40	figure	figure	NOUN
easat-10606	582	41	5	5	NUM
easat-10606	582	42	.	.	PUNCT
easat-10606	583	1	confusion	confusion	NOUN
easat-10606	583	2	matrixstacking	matrixstacke	VERB
easat-10606	583	3	1	1	NUM
easat-10606	583	4	with	with	ADP
easat-10606	583	5	data	datum	NOUN
easat-10606	583	6	imbalance	imbalance	NOUN
easat-10606	583	7	.	.	PUNCT
easat-10606	584	1	figure	figure	NOUN
easat-10606	584	2	6	6	NUM
easat-10606	584	3	.	.	PUNCT
easat-10606	585	1	confusion	confusion	NOUN
easat-10606	585	2	matrixstacking	matrixstacke	VERB
easat-10606	585	3	2	2	NUM
easat-10606	585	4	with	with	ADP
easat-10606	585	5	data	datum	NOUN
easat-10606	585	6	imbalance	imbalance	NOUN
easat-10606	585	7	1170	1170	NUM
easat-10606	585	8	edelweiss	edelweiss	PROPN
easat-10606	585	9	applied	apply	VERB
easat-10606	585	10	science	science	NOUN
easat-10606	585	11	and	and	CCONJ
easat-10606	585	12	technology	technology	NOUN
easat-10606	585	13	issn	issn	PROPN
easat-10606	585	14	:	:	PUNCT
easat-10606	585	15	2576	2576	NUM
easat-10606	585	16	-	-	SYM
easat-10606	585	17	8484	8484	NUM
easat-10606	585	18	vol	vol	NOUN
easat-10606	585	19	.	.	PROPN
easat-10606	586	1	9	9	NUM
easat-10606	586	2	,	,	PUNCT
easat-10606	586	3	no	no	INTJ
easat-10606	586	4	.	.	NOUN
easat-10606	586	5	10	10	NUM
easat-10606	586	6	:	:	SYM
easat-10606	586	7	1149	1149	NUM
easat-10606	586	8	-	-	SYM
easat-10606	586	9	1180	1180	NUM
easat-10606	586	10	,	,	PUNCT
easat-10606	586	11	2025	2025	NUM
easat-10606	586	12	doi	doi	NOUN
easat-10606	586	13	:	:	PUNCT
easat-10606	586	14	10.55214/2576	10.55214/2576	NUM
easat-10606	586	15	-	-	SYM
easat-10606	586	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	586	17	©	©	ADP
easat-10606	586	18	2025	2025	NUM
easat-10606	586	19	by	by	ADP
easat-10606	586	20	the	the	DET
easat-10606	586	21	authors	author	NOUN
easat-10606	586	22	;	;	PUNCT
easat-10606	586	23	licensee	licensee	PROPN
easat-10606	586	24	learning	learn	VERB
easat-10606	586	25	gate	gate	NOUN
easat-10606	586	26	figure	figure	NOUN
easat-10606	586	27	7	7	NUM
easat-10606	586	28	.	.	PUNCT
easat-10606	586	29	confusion	confusion	NOUN
easat-10606	586	30	matrixstacking	matrixstacke	VERB
easat-10606	586	31	3	3	NUM
easat-10606	586	32	with	with	ADP
easat-10606	586	33	data	datum	NOUN
easat-10606	586	34	imbalance	imbalance	NOUN
easat-10606	586	35	.	.	PUNCT
easat-10606	587	1	table	table	NOUN
easat-10606	587	2	1	1	NUM
easat-10606	587	3	.	.	PUNCT
easat-10606	588	1	summary	summary	NOUN
easat-10606	588	2	of	of	ADP
easat-10606	588	3	the	the	DET
easat-10606	588	4	classification	classification	NOUN
easat-10606	588	5	accuracy	accuracy	NOUN
easat-10606	588	6	produced	produce	VERB
easat-10606	588	7	by	by	ADP
easat-10606	588	8	different	different	ADJ
easat-10606	588	9	machine	machine	NOUN
easat-10606	588	10	learning	learn	VERB
easat-10606	588	11	algorithms	algorithm	NOUN
easat-10606	588	12	and	and	CCONJ
easat-10606	588	13	the	the	DET
easat-10606	588	14	proposed	propose	VERB
easat-10606	588	15	model	model	NOUN
easat-10606	588	16	.	.	PUNCT
easat-10606	589	1	algorithms	algorithm	VERB
easat-10606	589	2	classification	classification	NOUN
easat-10606	589	3	accuracy	accuracy	NOUN
easat-10606	589	4	(	(	PUNCT
easat-10606	589	5	%	%	INTJ
easat-10606	589	6	)	)	PUNCT
easat-10606	590	1	linear	linear	ADJ
easat-10606	590	2	regression	regression	NOUN
easat-10606	590	3	79.05	79.05	NUM
easat-10606	590	4	support	support	NOUN
easat-10606	590	5	vector	vector	NOUN
easat-10606	590	6	machine	machine	NOUN
easat-10606	590	7	79.05	79.05	NUM
easat-10606	590	8	multilayer	multilayer	ADJ
easat-10606	590	9	perceptron	perceptron	PROPN
easat-10606	590	10	81.76	81.76	NUM
easat-10606	590	11	naïve	naïve	ADJ
easat-10606	590	12	bayes	baye	NOUN
easat-10606	590	13	stacking	stack	VERB
easat-10606	590	14	50.68	50.68	NUM
easat-10606	590	15	79.05	79.05	NUM
easat-10606	590	16	table	table	NOUN
easat-10606	590	17	2	2	NUM
easat-10606	590	18	.	.	PUNCT
easat-10606	590	19	performance	performance	NOUN
easat-10606	590	20	measures	measure	NOUN
easat-10606	590	21	along	along	ADP
easat-10606	590	22	with	with	ADP
easat-10606	590	23	their	their	PRON
easat-10606	590	24	corresponding	correspond	VERB
easat-10606	590	25	classification	classification	NOUN
easat-10606	590	26	technique	technique	NOUN
easat-10606	590	27	percentages	percentage	NOUN
easat-10606	590	28	(	(	PUNCT
easat-10606	590	29	validation	validation	NOUN
easat-10606	590	30	data	datum	NOUN
easat-10606	590	31	)	)	PUNCT
easat-10606	590	32	.	.	PUNCT
easat-10606	591	1	accuracy	accuracy	NOUN
easat-10606	591	2	precision	precision	NOUN
easat-10606	591	3	recall	recall	NOUN
easat-10606	591	4	fimeasure	fimeasure	VERB
easat-10606	591	5	independent	independent	ADJ
easat-10606	591	6	algorithms	algorithm	NOUN
easat-10606	591	7	logistic	logistic	ADJ
easat-10606	591	8	regression	regression	NOUN
easat-10606	591	9	(	(	PUNCT
easat-10606	591	10	lr	lr	NOUN
easat-10606	591	11	)	)	PUNCT
easat-10606	591	12	79.05	79.05	NUM
easat-10606	591	13	79.52	79.52	NUM
easat-10606	591	14	79.78	79.78	NUM
easat-10606	591	15	79.64	79.64	NUM
easat-10606	591	16	support	support	NOUN
easat-10606	591	17	vector	vector	NOUN
easat-10606	591	18	machine	machine	NOUN
easat-10606	591	19	(	(	PUNCT
easat-10606	591	20	svm	svm	PROPN
easat-10606	591	21	)	)	PUNCT
easat-10606	591	22	79.05	79.05	NUM
easat-10606	591	23	79.07	79.07	NUM
easat-10606	591	24	80.20	80.20	NUM
easat-10606	591	25	79.36	79.36	NUM
easat-10606	591	26	multilayer	multilayer	NOUN
easat-10606	591	27	perceptron	perceptron	NOUN
easat-10606	591	28	(	(	PUNCT
easat-10606	591	29	mlp	mlp	PROPN
easat-10606	591	30	)	)	PUNCT
easat-10606	591	31	81.76	81.76	NUM
easat-10606	591	32	81.71	81.71	NUM
easat-10606	591	33	83.20	83.20	NUM
easat-10606	591	34	82.11	82.11	NUM
easat-10606	591	35	multinomial	multinomial	ADJ
easat-10606	591	36	naïve	naïve	ADJ
easat-10606	591	37	bayes	bayes	NOUN
easat-10606	591	38	(	(	PUNCT
easat-10606	591	39	mnb	mnb	PROPN
easat-10606	591	40	)	)	PUNCT
easat-10606	592	1	50.68	50.68	NUM
easat-10606	592	2	70.28	70.28	NUM
easat-10606	592	3	55.50	55.50	NUM
easat-10606	592	4	49.19	49.19	NUM
easat-10606	592	5	combined	combine	VERB
easat-10606	592	6	algorithms	algorithm	NOUN
easat-10606	592	7	lr	lr	AUX
easat-10606	592	8	second	second	ADJ
easat-10606	592	9	-	-	PUNCT
easat-10606	592	10	level	level	NOUN
easat-10606	592	11	stacking	stack	VERB
easat-10606	592	12	1	1	NUM
easat-10606	592	13	ensemble	ensemble	ADJ
easat-10606	592	14	technique	technique	NOUN
easat-10606	592	15	without	without	ADP
easat-10606	592	16	data	datum	NOUN
easat-10606	592	17	balancing	balance	VERB
easat-10606	592	18	72.13	72.13	NUM
easat-10606	592	19	67.59	67.59	NUM
easat-10606	592	20	62.95	62.95	NUM
easat-10606	592	21	62.37	62.37	NUM
easat-10606	592	22	svm	svm	ADJ
easat-10606	592	23	level	level	NOUN
easat-10606	592	24	stacking	stack	VERB
easat-10606	592	25	2	2	NUM
easat-10606	592	26	ensemble	ensemble	ADJ
easat-10606	592	27	technique	technique	NOUN
easat-10606	592	28	without	without	ADP
easat-10606	592	29	balancing	balance	VERB
easat-10606	592	30	77.83	77.83	NUM
easat-10606	592	31	76.41	76.41	NUM
easat-10606	592	32	75.91	75.91	NUM
easat-10606	592	33	76.15	76.15	NUM
easat-10606	592	34	mlp	mlp	NOUN
easat-10606	592	35	second	second	ADJ
easat-10606	592	36	-	-	PUNCT
easat-10606	592	37	level	level	NOUN
easat-10606	592	38	stacking	stack	VERB
easat-10606	592	39	3	3	NUM
easat-10606	592	40	ensemble	ensemble	ADJ
easat-10606	592	41	technique	technique	NOUN
easat-10606	592	42	with	with	ADP
easat-10606	592	43	data	datum	NOUN
easat-10606	592	44	balancing	balance	VERB
easat-10606	592	45	nb	nb	INTJ
easat-10606	592	46	second	second	ADJ
easat-10606	592	47	-	-	PUNCT
easat-10606	592	48	level	level	NOUN
easat-10606	592	49	stacking	stack	VERB
easat-10606	592	50	4	4	NUM
easat-10606	592	51	ensemble	ensemble	ADJ
easat-10606	592	52	technique	technique	NOUN
easat-10606	592	53	without	without	ADP
easat-10606	592	54	data	datum	NOUN
easat-10606	592	55	balancing	balance	VERB
easat-10606	592	56	79.05	79.05	NUM
easat-10606	592	57	50.68	50.68	NUM
easat-10606	592	58	79.06	79.06	NUM
easat-10606	592	59	70.28	70.28	NUM
easat-10606	592	60	80.65	80.65	NUM
easat-10606	592	61	55.50	55.50	NUM
easat-10606	592	62	79.28	79.28	NUM
easat-10606	592	63	49.19	49.19	NUM
easat-10606	592	64	the	the	DET
easat-10606	592	65	result	result	NOUN
easat-10606	592	66	shows	show	VERB
easat-10606	592	67	that	that	SCONJ
easat-10606	592	68	the	the	DET
easat-10606	592	69	lr	lr	PROPN
easat-10606	592	70	algorithm	algorithm	NOUN
easat-10606	592	71	yields	yield	VERB
easat-10606	592	72	a	a	DET
easat-10606	592	73	classification	classification	NOUN
easat-10606	592	74	accuracy	accuracy	NOUN
easat-10606	592	75	of	of	ADP
easat-10606	592	76	79.05	79.05	NUM
easat-10606	592	77	%	%	NOUN
easat-10606	592	78	,	,	PUNCT
easat-10606	592	79	while	while	SCONJ
easat-10606	592	80	svm	svm	PROPN
easat-10606	592	81	,	,	PUNCT
easat-10606	592	82	mlp	mlp	NOUN
easat-10606	592	83	,	,	PUNCT
easat-10606	592	84	and	and	CCONJ
easat-10606	592	85	multinomial	multinomial	ADJ
easat-10606	592	86	naïve	naïve	ADJ
easat-10606	592	87	bayes	bayes	PROPN
easat-10606	592	88	yield	yield	VERB
easat-10606	592	89	79.05	79.05	NUM
easat-10606	592	90	%	%	NOUN
easat-10606	592	91	,	,	PUNCT
easat-10606	592	92	81.76	81.76	NUM
easat-10606	592	93	%	%	NOUN
easat-10606	592	94	,	,	PUNCT
easat-10606	592	95	and	and	CCONJ
easat-10606	592	96	50.68	50.68	NUM
easat-10606	592	97	%	%	NOUN
easat-10606	592	98	,	,	PUNCT
easat-10606	592	99	respectively	respectively	ADV
easat-10606	592	100	.	.	PUNCT
easat-10606	593	1	among	among	ADP
easat-10606	593	2	all	all	DET
easat-10606	593	3	machine	machine	NOUN
easat-10606	593	4	learning	learning	NOUN
easat-10606	593	5	algorithms	algorithm	NOUN
easat-10606	593	6	,	,	PUNCT
easat-10606	593	7	mlp	mlp	NOUN
easat-10606	593	8	provides	provide	VERB
easat-10606	593	9	the	the	DET
easat-10606	593	10	best	good	ADJ
easat-10606	593	11	accuracy	accuracy	NOUN
easat-10606	593	12	,	,	PUNCT
easat-10606	593	13	as	as	SCONJ
easat-10606	593	14	illustrated	illustrate	VERB
easat-10606	593	15	in	in	ADP
easat-10606	593	16	figures	figure	NOUN
easat-10606	593	17	8	8	NUM
easat-10606	593	18	,	,	PUNCT
easat-10606	593	19	9	9	NUM
easat-10606	593	20	,	,	PUNCT
easat-10606	593	21	and	and	CCONJ
easat-10606	593	22	10	10	NUM
easat-10606	593	23	.	.	PUNCT
easat-10606	594	1	these	these	DET
easat-10606	594	2	figures	figure	NOUN
easat-10606	594	3	clearly	clearly	ADV
easat-10606	594	4	show	show	VERB
easat-10606	594	5	the	the	DET
easat-10606	594	6	comparison	comparison	NOUN
easat-10606	594	7	of	of	ADP
easat-10606	594	8	the	the	DET
easat-10606	594	9	accuracy	accuracy	NOUN
easat-10606	594	10	metric	metric	NOUN
easat-10606	594	11	of	of	ADP
easat-10606	594	12	individual	individual	ADJ
easat-10606	594	13	machine	machine	NOUN
easat-10606	594	14	learning	learn	VERB
easat-10606	594	15	algorithms	algorithm	NOUN
easat-10606	594	16	and	and	CCONJ
easat-10606	594	17	the	the	DET
easat-10606	594	18	proposed	propose	VERB
easat-10606	594	19	stacking	stack	VERB
easat-10606	594	20	ensemble	ensemble	ADJ
easat-10606	594	21	algorithm	algorithm	NOUN
easat-10606	594	22	,	,	PUNCT
easat-10606	594	23	as	as	ADV
easat-10606	594	24	well	well	ADV
easat-10606	594	25	as	as	ADP
easat-10606	594	26	the	the	DET
easat-10606	594	27	accuracy	accuracy	NOUN
easat-10606	594	28	of	of	ADP
easat-10606	594	29	the	the	DET
easat-10606	594	30	combined	combine	VERB
easat-10606	594	31	algorithms	algorithm	NOUN
easat-10606	594	32	.	.	PUNCT
easat-10606	595	1	1171	1171	NUM
easat-10606	595	2	edelweiss	edelweiss	PROPN
easat-10606	595	3	applied	apply	VERB
easat-10606	595	4	science	science	NOUN
easat-10606	595	5	and	and	CCONJ
easat-10606	595	6	technology	technology	NOUN
easat-10606	595	7	issn	issn	PROPN
easat-10606	595	8	:	:	PUNCT
easat-10606	595	9	2576	2576	NUM
easat-10606	595	10	-	-	SYM
easat-10606	595	11	8484	8484	NUM
easat-10606	595	12	vol	vol	NOUN
easat-10606	595	13	.	.	PROPN
easat-10606	596	1	9	9	NUM
easat-10606	596	2	,	,	PUNCT
easat-10606	596	3	no	no	INTJ
easat-10606	596	4	.	.	NOUN
easat-10606	596	5	10	10	NUM
easat-10606	596	6	:	:	SYM
easat-10606	596	7	1149	1149	NUM
easat-10606	596	8	-	-	SYM
easat-10606	596	9	1180	1180	NUM
easat-10606	596	10	,	,	PUNCT
easat-10606	596	11	2025	2025	NUM
easat-10606	596	12	doi	doi	NOUN
easat-10606	596	13	:	:	PUNCT
easat-10606	596	14	10.55214/2576	10.55214/2576	NUM
easat-10606	596	15	-	-	SYM
easat-10606	596	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	596	17	©	©	ADP
easat-10606	596	18	2025	2025	NUM
easat-10606	596	19	by	by	ADP
easat-10606	596	20	the	the	DET
easat-10606	596	21	authors	author	NOUN
easat-10606	596	22	;	;	PUNCT
easat-10606	596	23	licensee	licensee	PROPN
easat-10606	596	24	learning	learning	NOUN
easat-10606	596	25	gate	gate	VERB
easat-10606	596	26	other	other	ADJ
easat-10606	596	27	metrics	metric	NOUN
easat-10606	596	28	,	,	PUNCT
easat-10606	596	29	namely	namely	ADV
easat-10606	596	30	precision	precision	NOUN
easat-10606	596	31	,	,	PUNCT
easat-10606	596	32	recall	recall	NOUN
easat-10606	596	33	,	,	PUNCT
easat-10606	596	34	and	and	CCONJ
easat-10606	596	35	f	f	X
easat-10606	596	36	-	-	PUNCT
easat-10606	596	37	measure	measure	NOUN
easat-10606	596	38	,	,	PUNCT
easat-10606	596	39	have	have	AUX
easat-10606	596	40	been	be	AUX
easat-10606	596	41	evaluated	evaluate	VERB
easat-10606	596	42	,	,	PUNCT
easat-10606	596	43	and	and	CCONJ
easat-10606	596	44	the	the	DET
easat-10606	596	45	results	result	NOUN
easat-10606	596	46	are	be	AUX
easat-10606	596	47	presented	present	VERB
easat-10606	596	48	in	in	ADP
easat-10606	596	49	table	table	NOUN
easat-10606	596	50	2	2	NUM
easat-10606	596	51	.	.	PUNCT
easat-10606	597	1	4.1.2.2	4.1.2.2	NUM
easat-10606	597	2	.	.	PUNCT
easat-10606	597	3	precision	precision	NOUN
easat-10606	597	4	it	it	PRON
easat-10606	597	5	is	be	AUX
easat-10606	597	6	a	a	DET
easat-10606	597	7	metric	metric	NOUN
easat-10606	597	8	that	that	PRON
easat-10606	597	9	measures	measure	VERB
easat-10606	597	10	the	the	DET
easat-10606	597	11	number	number	NOUN
easat-10606	597	12	of	of	ADP
easat-10606	597	13	correctly	correctly	ADV
easat-10606	597	14	classified	classified	ADJ
easat-10606	597	15	classes	class	NOUN
easat-10606	597	16	.	.	PUNCT
easat-10606	598	1	it	it	PRON
easat-10606	598	2	gives	give	VERB
easat-10606	598	3	the	the	DET
easat-10606	598	4	ratio	ratio	NOUN
easat-10606	598	5	between	between	ADP
easat-10606	598	6	true	true	ADJ
easat-10606	598	7	positives	positive	NOUN
easat-10606	598	8	and	and	CCONJ
easat-10606	598	9	the	the	DET
easat-10606	598	10	total	total	ADJ
easat-10606	598	11	number	number	NOUN
easat-10606	598	12	of	of	ADP
easat-10606	598	13	cases	case	NOUN
easat-10606	598	14	categorized	categorize	VERB
easat-10606	598	15	as	as	ADP
easat-10606	598	16	positive	positive	ADJ
easat-10606	598	17	(	(	PUNCT
easat-10606	598	18	true	true	ADJ
easat-10606	598	19	positives	positive	NOUN
easat-10606	598	20	and	and	CCONJ
easat-10606	598	21	false	false	ADJ
easat-10606	598	22	positives	positive	NOUN
easat-10606	598	23	)	)	PUNCT
easat-10606	598	24	.	.	PUNCT
easat-10606	599	1	as	as	ADP
easat-10606	599	2	a	a	DET
easat-10606	599	3	result	result	NOUN
easat-10606	599	4	,	,	PUNCT
easat-10606	599	5	according	accord	VERB
easat-10606	599	6	to	to	ADP
easat-10606	599	7	these	these	DET
easat-10606	599	8	criteria	criterion	NOUN
easat-10606	599	9	,	,	PUNCT
easat-10606	599	10	the	the	DET
easat-10606	599	11	independent	independent	ADJ
easat-10606	599	12	mlp	mlp	NOUN
easat-10606	599	13	scored	score	VERB
easat-10606	599	14	81.71	81.71	NUM
easat-10606	599	15	%	%	NOUN
easat-10606	599	16	,	,	PUNCT
easat-10606	599	17	followed	follow	VERB
easat-10606	599	18	by	by	ADP
easat-10606	599	19	the	the	DET
easat-10606	599	20	combined	combine	VERB
easat-10606	599	21	algorithm	algorithm	NOUN
easat-10606	599	22	utilizing	utilize	VERB
easat-10606	599	23	ensemble	ensemble	ADJ
easat-10606	599	24	stacking	stacking	NOUN
easat-10606	599	25	3	3	NUM
easat-10606	599	26	with	with	ADP
easat-10606	599	27	data	datum	NOUN
easat-10606	599	28	balancing	balancing	NOUN
easat-10606	599	29	,	,	PUNCT
easat-10606	599	30	which	which	PRON
easat-10606	599	31	scored	score	VERB
easat-10606	599	32	79.06	79.06	NUM
easat-10606	599	33	%	%	NOUN
easat-10606	599	34	,	,	PUNCT
easat-10606	599	35	as	as	SCONJ
easat-10606	599	36	shown	show	VERB
easat-10606	599	37	in	in	ADP
easat-10606	599	38	table	table	NOUN
easat-10606	599	39	2	2	NUM
easat-10606	599	40	and	and	CCONJ
easat-10606	599	41	fig.10	fig.10	NOUN
easat-10606	599	42	.	.	PUNCT
easat-10606	600	1	4.1.2.3	4.1.2.3	X
easat-10606	600	2	.	.	PROPN
easat-10606	600	3	recall	recall	PROPN
easat-10606	600	4	recall	recall	PROPN
easat-10606	600	5	is	be	AUX
easat-10606	600	6	a	a	DET
easat-10606	600	7	statistic	statistic	NOUN
easat-10606	600	8	that	that	PRON
easat-10606	600	9	measures	measure	VERB
easat-10606	600	10	the	the	DET
easat-10606	600	11	number	number	NOUN
easat-10606	600	12	of	of	ADP
easat-10606	600	13	correct	correct	ADJ
easat-10606	600	14	positive	positive	ADJ
easat-10606	600	15	predictions	prediction	NOUN
easat-10606	600	16	made	make	VERB
easat-10606	600	17	out	out	ADP
easat-10606	600	18	of	of	ADP
easat-10606	600	19	all	all	DET
easat-10606	600	20	possible	possible	ADJ
easat-10606	600	21	positive	positive	ADJ
easat-10606	600	22	predictions	prediction	NOUN
easat-10606	600	23	,	,	PUNCT
easat-10606	600	24	as	as	SCONJ
easat-10606	600	25	determined	determine	VERB
easat-10606	600	26	by	by	ADP
easat-10606	600	27	the	the	DET
easat-10606	600	28	formulas	formula	NOUN
easat-10606	600	29	in	in	ADP
easat-10606	600	30	equation	equation	NOUN
easat-10606	600	31	11	11	NUM
easat-10606	600	32	.	.	PUNCT
easat-10606	600	33	table	table	NOUN
easat-10606	600	34	2	2	NUM
easat-10606	600	35	and	and	CCONJ
easat-10606	600	36	fig	fig	NOUN
easat-10606	600	37	.	.	PUNCT
easat-10606	601	1	10	10	NUM
easat-10606	601	2	present	present	VERB
easat-10606	601	3	the	the	DET
easat-10606	601	4	results	result	NOUN
easat-10606	601	5	of	of	ADP
easat-10606	601	6	the	the	DET
easat-10606	601	7	recall	recall	NOUN
easat-10606	601	8	metric	metric	NOUN
easat-10606	601	9	,	,	PUNCT
easat-10606	601	10	where	where	SCONJ
easat-10606	601	11	the	the	DET
easat-10606	601	12	values	value	NOUN
easat-10606	601	13	for	for	ADP
easat-10606	601	14	this	this	DET
easat-10606	601	15	metric	metric	NOUN
easat-10606	601	16	reached	reach	VERB
easat-10606	601	17	different	different	ADJ
easat-10606	601	18	percentages	percentage	NOUN
easat-10606	601	19	,	,	PUNCT
easat-10606	601	20	which	which	PRON
easat-10606	601	21	varied	vary	VERB
easat-10606	601	22	according	accord	VERB
easat-10606	601	23	to	to	ADP
easat-10606	601	24	the	the	DET
easat-10606	601	25	models	model	NOUN
easat-10606	601	26	.	.	PUNCT
easat-10606	602	1	it	it	PRON
easat-10606	602	2	is	be	AUX
easat-10606	602	3	observed	observe	VERB
easat-10606	602	4	that	that	SCONJ
easat-10606	602	5	the	the	DET
easat-10606	602	6	independent	independent	ADJ
easat-10606	602	7	mlp	mlp	NOUN
easat-10606	602	8	algorithm	algorithm	NOUN
easat-10606	602	9	or	or	CCONJ
easat-10606	602	10	model	model	NOUN
easat-10606	602	11	gave	give	VERB
easat-10606	602	12	the	the	DET
easat-10606	602	13	highest	high	ADJ
easat-10606	602	14	recall	recall	NOUN
easat-10606	602	15	percentage	percentage	NOUN
easat-10606	602	16	or	or	CCONJ
easat-10606	602	17	value	value	NOUN
easat-10606	602	18	of	of	ADP
easat-10606	602	19	81.71	81.71	NUM
easat-10606	602	20	%	%	NOUN
easat-10606	602	21	,	,	PUNCT
easat-10606	602	22	followed	follow	VERB
easat-10606	602	23	by	by	ADP
easat-10606	602	24	the	the	DET
easat-10606	602	25	logistic	logistic	ADJ
easat-10606	602	26	regression	regression	NOUN
easat-10606	602	27	model	model	NOUN
easat-10606	602	28	and	and	CCONJ
easat-10606	602	29	the	the	DET
easat-10606	602	30	stacking	stack	VERB
easat-10606	602	31	3	3	NUM
easat-10606	602	32	ensemble	ensemble	ADJ
easat-10606	602	33	method	method	NOUN
easat-10606	602	34	using	use	VERB
easat-10606	602	35	mlp	mlp	PROPN
easat-10606	602	36	,	,	PUNCT
easat-10606	602	37	with	with	ADP
easat-10606	602	38	a	a	DET
easat-10606	602	39	percentage	percentage	NOUN
easat-10606	602	40	of	of	ADP
easat-10606	602	41	79.06	79.06	NUM
easat-10606	602	42	%	%	NOUN
easat-10606	602	43	.	.	PUNCT
easat-10606	603	1	the	the	DET
easat-10606	603	2	other	other	ADJ
easat-10606	603	3	models	model	NOUN
easat-10606	603	4	ranged	range	VERB
easat-10606	603	5	from	from	ADP
easat-10606	603	6	67.59	67.59	NUM
easat-10606	603	7	%	%	NOUN
easat-10606	603	8	to	to	ADP
easat-10606	603	9	76.41	76.41	NUM
easat-10606	603	10	%	%	NOUN
easat-10606	603	11	without	without	ADP
easat-10606	603	12	using	use	VERB
easat-10606	603	13	balanced	balanced	ADJ
easat-10606	603	14	data	datum	NOUN
easat-10606	603	15	,	,	PUNCT
easat-10606	603	16	and	and	CCONJ
easat-10606	603	17	from	from	ADP
easat-10606	603	18	70.28	70.28	NUM
easat-10606	603	19	%	%	NOUN
easat-10606	603	20	to	to	ADP
easat-10606	603	21	81.71	81.71	NUM
easat-10606	603	22	%	%	NOUN
easat-10606	603	23	with	with	ADP
easat-10606	603	24	and	and	CCONJ
easat-10606	603	25	without	without	ADP
easat-10606	603	26	balanced	balanced	ADJ
easat-10606	603	27	data	datum	NOUN
easat-10606	603	28	.	.	PUNCT
easat-10606	604	1	4.1.2.4	4.1.2.4	NUM
easat-10606	604	2	.	.	PUNCT
easat-10606	604	3	f1	f1	NOUN
easat-10606	604	4	-	-	PUNCT
easat-10606	604	5	measure	measure	NOUN
easat-10606	604	6	the	the	DET
easat-10606	604	7	f1	f1	NOUN
easat-10606	604	8	-	-	PUNCT
easat-10606	604	9	score	score	NOUN
easat-10606	604	10	allows	allow	VERB
easat-10606	604	11	one	one	PRON
easat-10606	604	12	to	to	PART
easat-10606	604	13	integrate	integrate	VERB
easat-10606	604	14	precision	precision	NOUN
easat-10606	604	15	and	and	CCONJ
easat-10606	604	16	recall	recall	VERB
easat-10606	604	17	into	into	ADP
easat-10606	604	18	a	a	DET
easat-10606	604	19	single	single	ADJ
easat-10606	604	20	metric	metric	NOUN
easat-10606	604	21	that	that	PRON
easat-10606	604	22	incorporates	incorporate	VERB
easat-10606	604	23	both	both	DET
easat-10606	604	24	attributes	attribute	NOUN
easat-10606	604	25	of	of	ADP
easat-10606	604	26	the	the	DET
easat-10606	604	27	model	model	NOUN
easat-10606	604	28	,	,	PUNCT
easat-10606	604	29	as	as	SCONJ
easat-10606	604	30	given	give	VERB
easat-10606	604	31	by	by	ADP
easat-10606	604	32	the	the	DET
easat-10606	604	33	formula	formula	NOUN
easat-10606	604	34	in	in	ADP
easat-10606	604	35	equation	equation	NOUN
easat-10606	604	36	12	12	NUM
easat-10606	604	37	.	.	PUNCT
easat-10606	605	1	it	it	PRON
easat-10606	605	2	is	be	AUX
easat-10606	605	3	a	a	DET
easat-10606	605	4	metric	metric	NOUN
easat-10606	605	5	that	that	PRON
easat-10606	605	6	combines	combine	VERB
easat-10606	605	7	the	the	DET
easat-10606	605	8	values	value	NOUN
easat-10606	605	9	of	of	ADP
easat-10606	605	10	the	the	DET
easat-10606	605	11	true	true	ADJ
easat-10606	605	12	positive	positive	ADJ
easat-10606	605	13	rate	rate	NOUN
easat-10606	605	14	and	and	CCONJ
easat-10606	605	15	positive	positive	ADJ
easat-10606	605	16	predictive	predictive	ADJ
easat-10606	605	17	value	value	NOUN
easat-10606	605	18	,	,	PUNCT
easat-10606	605	19	namely	namely	ADV
easat-10606	605	20	,	,	PUNCT
easat-10606	605	21	accuracy	accuracy	NOUN
easat-10606	605	22	and	and	CCONJ
easat-10606	605	23	recall	recall	NOUN
easat-10606	605	24	.	.	PUNCT
easat-10606	606	1	table	table	NOUN
easat-10606	606	2	2	2	NUM
easat-10606	606	3	and	and	CCONJ
easat-10606	606	4	fig	fig	NOUN
easat-10606	606	5	.	.	PUNCT
easat-10606	607	1	10	10	NUM
easat-10606	607	2	show	show	VERB
easat-10606	607	3	the	the	DET
easat-10606	607	4	evaluation	evaluation	NOUN
easat-10606	607	5	metric	metric	ADJ
easat-10606	607	6	"	"	PUNCT
easat-10606	607	7	f1	f1	NOUN
easat-10606	607	8	-	-	PUNCT
easat-10606	607	9	score	score	NOUN
easat-10606	607	10	,	,	PUNCT
easat-10606	607	11	"	"	PUNCT
easat-10606	607	12	where	where	SCONJ
easat-10606	607	13	the	the	DET
easat-10606	607	14	mlp	mlp	NOUN
easat-10606	607	15	with	with	ADP
easat-10606	607	16	the	the	DET
easat-10606	607	17	stacking	stack	VERB
easat-10606	607	18	3	3	NUM
easat-10606	607	19	ensemble	ensemble	ADJ
easat-10606	607	20	technique	technique	NOUN
easat-10606	607	21	using	use	VERB
easat-10606	607	22	the	the	DET
easat-10606	607	23	data	data	NOUN
easat-10606	607	24	balancing	balancing	NOUN
easat-10606	607	25	method	method	NOUN
easat-10606	607	26	obtained	obtain	VERB
easat-10606	607	27	a	a	DET
easat-10606	607	28	value	value	NOUN
easat-10606	607	29	of	of	ADP
easat-10606	607	30	80.65	80.65	NUM
easat-10606	607	31	%	%	NOUN
easat-10606	607	32	,	,	PUNCT
easat-10606	607	33	considered	consider	VERB
easat-10606	607	34	the	the	DET
easat-10606	607	35	best	good	ADJ
easat-10606	607	36	model	model	NOUN
easat-10606	607	37	for	for	ADP
easat-10606	607	38	predicting	predict	VERB
easat-10606	607	39	opinions	opinion	NOUN
easat-10606	607	40	from	from	ADP
easat-10606	607	41	student	student	NOUN
easat-10606	607	42	feedback	feedback	NOUN
easat-10606	607	43	in	in	ADP
easat-10606	607	44	a	a	DET
easat-10606	607	45	university	university	NOUN
easat-10606	607	46	.	.	PUNCT
easat-10606	608	1	meanwhile	meanwhile	ADV
easat-10606	608	2	,	,	PUNCT
easat-10606	608	3	stacking	stack	VERB
easat-10606	608	4	2	2	NUM
easat-10606	608	5	and	and	CCONJ
easat-10606	608	6	stacking	stack	VERB
easat-10606	608	7	1	1	NUM
easat-10606	608	8	without	without	SCONJ
easat-10606	608	9	data	datum	NOUN
easat-10606	608	10	balancing	balancing	NOUN
easat-10606	608	11	achieved	achieve	VERB
easat-10606	608	12	the	the	DET
easat-10606	608	13	lowest	low	ADJ
easat-10606	608	14	f1	f1	ADJ
easat-10606	608	15	-	-	PUNCT
easat-10606	608	16	score	score	NOUN
easat-10606	608	17	values	value	NOUN
easat-10606	608	18	(	(	PUNCT
easat-10606	608	19	76.15	76.15	NUM
easat-10606	608	20	%	%	NOUN
easat-10606	608	21	and	and	CCONJ
easat-10606	608	22	62.37	62.37	NUM
easat-10606	608	23	%	%	NOUN
easat-10606	608	24	)	)	PUNCT
easat-10606	608	25	compared	compare	VERB
easat-10606	608	26	to	to	ADP
easat-10606	608	27	other	other	ADJ
easat-10606	608	28	individual	individual	ADJ
easat-10606	608	29	models	model	NOUN
easat-10606	608	30	such	such	ADJ
easat-10606	608	31	as	as	ADP
easat-10606	608	32	lr	lr	PROPN
easat-10606	608	33	,	,	PUNCT
easat-10606	608	34	mlp	mlp	NOUN
easat-10606	608	35	,	,	PUNCT
easat-10606	608	36	and	and	CCONJ
easat-10606	608	37	svm	svm	PROPN
easat-10606	608	38	,	,	PUNCT
easat-10606	608	39	except	except	SCONJ
easat-10606	608	40	for	for	ADP
easat-10606	608	41	nb	nb	PROPN
easat-10606	608	42	,	,	PUNCT
easat-10606	608	43	which	which	PRON
easat-10606	608	44	scored	score	VERB
easat-10606	608	45	about	about	ADP
easat-10606	608	46	49.19	49.19	NUM
easat-10606	608	47	%	%	NOUN
easat-10606	608	48	.	.	PUNCT
easat-10606	609	1	figure	figure	NOUN
easat-10606	609	2	8	8	NUM
easat-10606	609	3	.	.	PUNCT
easat-10606	610	1	visualisation	visualisation	NOUN
easat-10606	610	2	result	result	VERB
easat-10606	610	3	classification	classification	NOUN
easat-10606	610	4	accuracies	accuracy	NOUN
easat-10606	610	5	of	of	ADP
easat-10606	610	6	various	various	ADJ
easat-10606	610	7	supervised	supervised	ADJ
easat-10606	610	8	machine	machine	NOUN
easat-10606	610	9	learning	learning	NOUN
easat-10606	610	10	algorithms	algorithm	NOUN
easat-10606	610	11	used	use	VERB
easat-10606	610	12	in	in	ADP
easat-10606	610	13	the	the	DET
easat-10606	610	14	experiment	experiment	NOUN
easat-10606	610	15	79.05	79.05	NUM
easat-10606	610	16	79.05	79.05	NUM
easat-10606	610	17	81.76	81.76	NUM
easat-10606	610	18	50.68	50.68	NUM
easat-10606	610	19	0	0	NUM
easat-10606	610	20	10	10	NUM
easat-10606	610	21	20	20	NUM
easat-10606	610	22	30	30	NUM
easat-10606	610	23	40	40	NUM
easat-10606	610	24	50	50	NUM
easat-10606	610	25	60	60	NUM
easat-10606	610	26	70	70	NUM
easat-10606	610	27	80	80	NUM
easat-10606	610	28	90	90	NUM
easat-10606	610	29	linear	linear	ADJ
easat-10606	610	30	regression	regression	NOUN
easat-10606	610	31	support	support	NOUN
easat-10606	610	32	vector	vector	NOUN
easat-10606	610	33	machine	machine	NOUN
easat-10606	610	34	multilayer	multilayer	PROPN
easat-10606	610	35	perceptron	perceptron	PROPN
easat-10606	610	36	naïve	naïve	PROPN
easat-10606	610	37	bayes	bayes	PROPN
easat-10606	610	38	classification	classification	NOUN
easat-10606	610	39	accuracy	accuracy	NOUN
easat-10606	610	40	1172	1172	NUM
easat-10606	610	41	edelweiss	edelweiss	PROPN
easat-10606	610	42	applied	apply	VERB
easat-10606	610	43	science	science	NOUN
easat-10606	610	44	and	and	CCONJ
easat-10606	610	45	technology	technology	NOUN
easat-10606	610	46	issn	issn	PROPN
easat-10606	610	47	:	:	PUNCT
easat-10606	610	48	2576	2576	NUM
easat-10606	610	49	-	-	SYM
easat-10606	610	50	8484	8484	NUM
easat-10606	610	51	vol	vol	NOUN
easat-10606	610	52	.	.	PROPN
easat-10606	611	1	9	9	NUM
easat-10606	611	2	,	,	PUNCT
easat-10606	611	3	no	no	INTJ
easat-10606	611	4	.	.	NOUN
easat-10606	611	5	10	10	NUM
easat-10606	611	6	:	:	SYM
easat-10606	611	7	1149	1149	NUM
easat-10606	611	8	-	-	SYM
easat-10606	611	9	1180	1180	NUM
easat-10606	611	10	,	,	PUNCT
easat-10606	611	11	2025	2025	NUM
easat-10606	611	12	doi	doi	NOUN
easat-10606	611	13	:	:	PUNCT
easat-10606	611	14	10.55214/2576	10.55214/2576	NUM
easat-10606	611	15	-	-	SYM
easat-10606	611	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	611	17	©	©	ADP
easat-10606	611	18	2025	2025	NUM
easat-10606	611	19	by	by	ADP
easat-10606	611	20	the	the	DET
easat-10606	611	21	authors	author	NOUN
easat-10606	611	22	;	;	PUNCT
easat-10606	611	23	licensee	licensee	PROPN
easat-10606	611	24	learning	learn	VERB
easat-10606	611	25	gate	gate	NOUN
easat-10606	611	26	figure	figure	NOUN
easat-10606	611	27	9	9	NUM
easat-10606	611	28	.	.	PUNCT
easat-10606	611	29	comparison	comparison	NOUN
easat-10606	611	30	of	of	ADP
easat-10606	611	31	the	the	DET
easat-10606	611	32	accuracy	accuracy	NOUN
easat-10606	611	33	metric	metric	NOUN
easat-10606	611	34	of	of	ADP
easat-10606	611	35	various	various	ADJ
easat-10606	611	36	supervised	supervised	ADJ
easat-10606	611	37	machine	machine	NOUN
easat-10606	611	38	learning	learn	VERB
easat-10606	611	39	algorithms	algorithm	NOUN
easat-10606	611	40	with	with	ADP
easat-10606	611	41	a	a	DET
easat-10606	611	42	stacking	stacking	NOUN
easat-10606	611	43	ensemble	ensemble	ADJ
easat-10606	611	44	.	.	PUNCT
easat-10606	612	1	figure	figure	NOUN
easat-10606	612	2	10	10	NUM
easat-10606	612	3	.	.	PUNCT
easat-10606	613	1	comparison	comparison	NOUN
easat-10606	613	2	of	of	ADP
easat-10606	613	3	the	the	DET
easat-10606	613	4	percentages	percentage	NOUN
easat-10606	613	5	of	of	ADP
easat-10606	613	6	the	the	DET
easat-10606	613	7	accuracy	accuracy	NOUN
easat-10606	613	8	metric	metric	NOUN
easat-10606	613	9	of	of	ADP
easat-10606	613	10	the	the	DET
easat-10606	613	11	stacking	stacking	NOUN
easat-10606	613	12	models	model	NOUN
easat-10606	613	13	to	to	PART
easat-10606	613	14	predict	predict	VERB
easat-10606	613	15	the	the	DET
easat-10606	613	16	opinion	opinion	NOUN
easat-10606	613	17	of	of	ADP
easat-10606	613	18	university	university	NOUN
easat-10606	613	19	students	student	NOUN
easat-10606	613	20	,	,	PUNCT
easat-10606	613	21	both	both	CCONJ
easat-10606	613	22	with	with	ADP
easat-10606	613	23	unbalanced	unbalanced	ADJ
easat-10606	613	24	data	datum	NOUN
easat-10606	613	25	and	and	CCONJ
easat-10606	613	26	with	with	ADP
easat-10606	613	27	balanced	balanced	ADJ
easat-10606	613	28	data	datum	NOUN
easat-10606	613	29	.	.	PUNCT
easat-10606	614	1	figure	figure	NOUN
easat-10606	614	2	11	11	NUM
easat-10606	614	3	.	.	PUNCT
easat-10606	615	1	performance	performance	NOUN
easat-10606	615	2	measure	measure	NOUN
easat-10606	615	3	of	of	ADP
easat-10606	615	4	various	various	ADJ
easat-10606	615	5	classification	classification	NOUN
easat-10606	615	6	algorithms	algorithm	NOUN
easat-10606	615	7	.	.	PUNCT
easat-10606	616	1	79.05	79.05	NUM
easat-10606	616	2	79.05	79.05	NUM
easat-10606	616	3	81.76	81.76	NUM
easat-10606	616	4	50.68	50.68	NUM
easat-10606	616	5	79.05	79.05	NUM
easat-10606	616	6	0	0	NUM
easat-10606	616	7	20	20	NUM
easat-10606	616	8	40	40	NUM
easat-10606	616	9	60	60	NUM
easat-10606	616	10	80	80	NUM
easat-10606	616	11	100	100	NUM
easat-10606	616	12	1	1	NUM
easat-10606	616	13	accuracy	accuracy	NOUN
easat-10606	616	14	metric	metric	ADJ
easat-10606	616	15	linear	linear	PROPN
easat-10606	616	16	regression	regression	NOUN
easat-10606	616	17	support	support	NOUN
easat-10606	616	18	vector	vector	NOUN
easat-10606	616	19	machine	machine	NOUN
easat-10606	616	20	multilayer	multilayer	PROPN
easat-10606	616	21	perceptron	perceptron	PROPN
easat-10606	616	22	naïve	naïve	PROPN
easat-10606	616	23	bayes	bayes	PROPN
easat-10606	616	24	stacking	stack	VERB
easat-10606	616	25	79.05	79.05	NUM
easat-10606	616	26	79.05	79.05	NUM
easat-10606	616	27	81.76	81.76	NUM
easat-10606	616	28	50.68	50.68	NUM
easat-10606	616	29	72.13	72.13	NUM
easat-10606	616	30	77.83	77.83	NUM
easat-10606	616	31	79.05	79.05	NUM
easat-10606	616	32	0	0	NUM
easat-10606	616	33	10	10	NUM
easat-10606	616	34	20	20	NUM
easat-10606	616	35	30	30	NUM
easat-10606	616	36	40	40	NUM
easat-10606	616	37	50	50	NUM
easat-10606	616	38	60	60	NUM
easat-10606	616	39	70	70	NUM
easat-10606	616	40	80	80	NUM
easat-10606	616	41	90	90	NUM
easat-10606	616	42	1	1	NUM
easat-10606	616	43	independent	independent	ADJ
easat-10606	616	44	algorithms	algorithm	NOUN
easat-10606	616	45	logistic	logistic	ADJ
easat-10606	616	46	regression	regression	NOUN
easat-10606	616	47	(	(	PUNCT
easat-10606	616	48	lr	lr	NOUN
easat-10606	616	49	)	)	PUNCT
easat-10606	616	50	support	support	NOUN
easat-10606	616	51	vector	vector	NOUN
easat-10606	616	52	machine	machine	NOUN
easat-10606	616	53	(	(	PUNCT
easat-10606	616	54	svm	svm	ADJ
easat-10606	616	55	)	)	PUNCT
easat-10606	616	56	multilayer	multilayer	ADJ
easat-10606	616	57	perceptron	perceptron	PROPN
easat-10606	616	58	(	(	PUNCT
easat-10606	616	59	mlp	mlp	PROPN
easat-10606	616	60	)	)	PUNCT
easat-10606	616	61	naïve	naïve	ADJ
easat-10606	616	62	bayes	bayes	PROPN
easat-10606	616	63	lr	lr	AUX
easat-10606	616	64	second	second	ADJ
easat-10606	616	65	level	level	NOUN
easat-10606	616	66	stacking	stack	VERB
easat-10606	616	67	1	1	NUM
easat-10606	616	68	ensemble	ensemble	ADJ
easat-10606	616	69	technique	technique	NOUN
easat-10606	616	70	without	without	ADP
easat-10606	616	71	data	datum	NOUN
easat-10606	616	72	balancing	balance	VERB
easat-10606	616	73	0	0	NUM
easat-10606	616	74	10	10	NUM
easat-10606	616	75	20	20	NUM
easat-10606	616	76	30	30	NUM
easat-10606	616	77	40	40	NUM
easat-10606	616	78	50	50	NUM
easat-10606	616	79	60	60	NUM
easat-10606	616	80	70	70	NUM
easat-10606	616	81	80	80	NUM
easat-10606	616	82	90	90	NUM
easat-10606	616	83	logistic	logistic	ADJ
easat-10606	616	84	regression	regression	NOUN
easat-10606	616	85	(	(	PUNCT
easat-10606	616	86	lr	lr	NOUN
easat-10606	616	87	)	)	PUNCT
easat-10606	616	88	support	support	NOUN
easat-10606	616	89	vector	vector	NOUN
easat-10606	616	90	machine	machine	NOUN
easat-10606	616	91	(	(	PUNCT
easat-10606	616	92	svm	svm	ADJ
easat-10606	616	93	)	)	PUNCT
easat-10606	616	94	multilayer	multilayer	ADJ
easat-10606	616	95	perceptron	perceptron	PROPN
easat-10606	616	96	(	(	PUNCT
easat-10606	616	97	mlp	mlp	PROPN
easat-10606	616	98	)	)	PUNCT
easat-10606	616	99	naïve	naïve	ADJ
easat-10606	616	100	bayes	bayes	PROPN
easat-10606	616	101	precision	precision	PROPN
easat-10606	616	102	recall	recall	VERB
easat-10606	616	103	f1	f1	NOUN
easat-10606	616	104	-	-	PUNCT
easat-10606	616	105	measure	measure	NOUN
easat-10606	616	106	1173	1173	NUM
easat-10606	616	107	edelweiss	edelweiss	PROPN
easat-10606	616	108	applied	apply	VERB
easat-10606	616	109	science	science	NOUN
easat-10606	616	110	and	and	CCONJ
easat-10606	616	111	technology	technology	NOUN
easat-10606	616	112	issn	issn	PROPN
easat-10606	616	113	:	:	PUNCT
easat-10606	616	114	2576	2576	NUM
easat-10606	616	115	-	-	SYM
easat-10606	616	116	8484	8484	NUM
easat-10606	616	117	vol	vol	NOUN
easat-10606	616	118	.	.	PROPN
easat-10606	617	1	9	9	NUM
easat-10606	617	2	,	,	PUNCT
easat-10606	617	3	no	no	INTJ
easat-10606	617	4	.	.	NOUN
easat-10606	617	5	10	10	NUM
easat-10606	617	6	:	:	SYM
easat-10606	617	7	1149	1149	NUM
easat-10606	617	8	-	-	SYM
easat-10606	617	9	1180	1180	NUM
easat-10606	617	10	,	,	PUNCT
easat-10606	617	11	2025	2025	NUM
easat-10606	617	12	doi	doi	NOUN
easat-10606	617	13	:	:	PUNCT
easat-10606	617	14	10.55214/2576	10.55214/2576	NUM
easat-10606	617	15	-	-	SYM
easat-10606	617	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	617	17	©	©	ADP
easat-10606	617	18	2025	2025	NUM
easat-10606	617	19	by	by	ADP
easat-10606	617	20	the	the	DET
easat-10606	617	21	authors	author	NOUN
easat-10606	617	22	;	;	PUNCT
easat-10606	617	23	licensee	licensee	PROPN
easat-10606	617	24	learning	learn	VERB
easat-10606	617	25	gate	gate	NOUN
easat-10606	617	26	in	in	ADP
easat-10606	617	27	the	the	DET
easat-10606	617	28	same	same	ADJ
easat-10606	617	29	vein	vein	NOUN
easat-10606	617	30	,	,	PUNCT
easat-10606	617	31	from	from	ADP
easat-10606	617	32	table	table	NOUN
easat-10606	617	33	2	2	NUM
easat-10606	617	34	,	,	PUNCT
easat-10606	617	35	the	the	DET
easat-10606	617	36	independent	independent	ADJ
easat-10606	617	37	multilayer	multilayer	ADJ
easat-10606	617	38	perceptron	perceptron	PROPN
easat-10606	617	39	(	(	PUNCT
easat-10606	617	40	mlp	mlp	NOUN
easat-10606	617	41	)	)	PUNCT
easat-10606	617	42	has	have	VERB
easat-10606	617	43	better	well	ADJ
easat-10606	617	44	metric	metric	ADJ
easat-10606	617	45	performance	performance	NOUN
easat-10606	617	46	,	,	PUNCT
easat-10606	617	47	as	as	SCONJ
easat-10606	617	48	shown	show	VERB
easat-10606	617	49	in	in	ADP
easat-10606	617	50	fig	fig	NOUN
easat-10606	617	51	.	.	PUNCT
easat-10606	618	1	11	11	NUM
easat-10606	618	2	,	,	PUNCT
easat-10606	618	3	than	than	ADP
easat-10606	618	4	the	the	DET
easat-10606	618	5	rest	rest	NOUN
easat-10606	618	6	of	of	ADP
easat-10606	618	7	the	the	DET
easat-10606	618	8	algorithms	algorithm	NOUN
easat-10606	618	9	.	.	PUNCT
easat-10606	619	1	the	the	DET
easat-10606	619	2	naive	naive	ADJ
easat-10606	619	3	bayes	bayes	PROPN
easat-10606	619	4	algorithm	algorithm	PROPN
easat-10606	619	5	performed	perform	VERB
easat-10606	619	6	poorer	poor	ADJ
easat-10606	619	7	than	than	ADP
easat-10606	619	8	the	the	DET
easat-10606	619	9	rest	rest	NOUN
easat-10606	619	10	of	of	ADP
easat-10606	619	11	the	the	DET
easat-10606	619	12	algorithms	algorithm	NOUN
easat-10606	619	13	.	.	PUNCT
easat-10606	620	1	it	it	PRON
easat-10606	620	2	can	can	AUX
easat-10606	620	3	be	be	AUX
easat-10606	620	4	seen	see	VERB
easat-10606	620	5	that	that	SCONJ
easat-10606	620	6	this	this	PRON
easat-10606	620	7	is	be	AUX
easat-10606	620	8	not	not	PART
easat-10606	620	9	only	only	ADV
easat-10606	620	10	due	due	ADJ
easat-10606	620	11	to	to	ADP
easat-10606	620	12	having	have	VERB
easat-10606	620	13	one	one	NUM
easat-10606	620	14	higher	high	ADJ
easat-10606	620	15	class	class	NOUN
easat-10606	620	16	that	that	PRON
easat-10606	620	17	can	can	AUX
easat-10606	620	18	conclude	conclude	VERB
easat-10606	620	19	the	the	DET
easat-10606	620	20	final	final	ADJ
easat-10606	620	21	results	result	NOUN
easat-10606	620	22	.	.	PUNCT
easat-10606	621	1	the	the	DET
easat-10606	621	2	multilayer	multilayer	ADJ
easat-10606	621	3	algorithm	algorithm	NOUN
easat-10606	621	4	is	be	AUX
easat-10606	621	5	a	a	DET
easat-10606	621	6	neural	neural	ADJ
easat-10606	621	7	network	network	NOUN
easat-10606	621	8	algorithm	algorithm	NOUN
easat-10606	621	9	with	with	ADP
easat-10606	621	10	three	three	NUM
easat-10606	621	11	layers	layer	NOUN
easat-10606	621	12	and	and	CCONJ
easat-10606	621	13	500	500	NUM
easat-10606	621	14	hidden	hide	VERB
easat-10606	621	15	units	unit	NOUN
easat-10606	621	16	per	per	ADP
easat-10606	621	17	layer	layer	NOUN
easat-10606	621	18	.	.	PUNCT
easat-10606	622	1	from	from	ADP
easat-10606	622	2	our	our	PRON
easat-10606	622	3	results	result	NOUN
easat-10606	622	4	,	,	PUNCT
easat-10606	622	5	the	the	DET
easat-10606	622	6	neural	neural	ADJ
easat-10606	622	7	network	network	NOUN
easat-10606	622	8	algorithm	algorithm	NOUN
easat-10606	622	9	is	be	AUX
easat-10606	622	10	the	the	DET
easat-10606	622	11	best	good	ADJ
easat-10606	622	12	of	of	ADP
easat-10606	622	13	all	all	PRON
easat-10606	622	14	.	.	PUNCT
easat-10606	623	1	consequently	consequently	ADV
easat-10606	623	2	,	,	PUNCT
easat-10606	623	3	the	the	DET
easat-10606	623	4	authors	author	NOUN
easat-10606	623	5	of	of	ADP
easat-10606	623	6	this	this	DET
easat-10606	623	7	paper	paper	NOUN
easat-10606	623	8	proceeded	proceed	VERB
easat-10606	623	9	to	to	PART
easat-10606	623	10	build	build	VERB
easat-10606	623	11	the	the	DET
easat-10606	623	12	intelligent	intelligent	ADJ
easat-10606	623	13	student	student	NOUN
easat-10606	623	14	opinion	opinion	NOUN
easat-10606	623	15	mining	mining	NOUN
easat-10606	623	16	system	system	NOUN
easat-10606	623	17	interface	interface	NOUN
easat-10606	623	18	as	as	SCONJ
easat-10606	623	19	shown	show	VERB
easat-10606	623	20	in	in	ADP
easat-10606	623	21	appendix	appendix	ADJ
easat-10606	623	22	a.	a.	NOUN
easat-10606	623	23	4.2	4.2	NUM
easat-10606	623	24	.	.	PUNCT
easat-10606	624	1	discussion	discussion	NOUN
easat-10606	624	2	four	four	NUM
easat-10606	624	3	base	base	NOUN
easat-10606	624	4	models	model	NOUN
easat-10606	624	5	and	and	CCONJ
easat-10606	624	6	a	a	DET
easat-10606	624	7	stacking	stacking	NOUN
easat-10606	624	8	model	model	NOUN
easat-10606	624	9	are	be	AUX
easat-10606	624	10	constructed	construct	VERB
easat-10606	624	11	in	in	ADP
easat-10606	624	12	the	the	DET
easat-10606	624	13	experimental	experimental	ADJ
easat-10606	624	14	setup	setup	NOUN
easat-10606	624	15	for	for	ADP
easat-10606	624	16	classifying	classify	VERB
easat-10606	624	17	students	student	NOUN
easat-10606	624	18	'	'	PART
easat-10606	624	19	feedback	feedback	NOUN
easat-10606	624	20	performance	performance	NOUN
easat-10606	624	21	.	.	PUNCT
easat-10606	625	1	the	the	DET
easat-10606	625	2	best	good	ADJ
easat-10606	625	3	base	base	NOUN
easat-10606	625	4	machine	machine	NOUN
easat-10606	625	5	learning	learning	NOUN
easat-10606	625	6	methods	method	NOUN
easat-10606	625	7	used	use	VERB
easat-10606	625	8	in	in	ADP
easat-10606	625	9	classifying	classify	VERB
easat-10606	625	10	comments	comment	NOUN
easat-10606	625	11	or	or	CCONJ
easat-10606	625	12	observations	observation	NOUN
easat-10606	625	13	collected	collect	VERB
easat-10606	625	14	from	from	ADP
easat-10606	625	15	students	student	NOUN
easat-10606	625	16	'	'	PART
easat-10606	625	17	feedback	feedback	NOUN
easat-10606	625	18	obtained	obtain	VERB
easat-10606	625	19	from	from	ADP
easat-10606	625	20	the	the	DET
easat-10606	625	21	learning	learning	NOUN
easat-10606	625	22	management	management	NOUN
easat-10606	625	23	system	system	NOUN
easat-10606	625	24	were	be	AUX
easat-10606	625	25	the	the	DET
easat-10606	625	26	multilayer	multilayer	ADJ
easat-10606	625	27	perceptron	perceptron	NOUN
easat-10606	625	28	with	with	ADP
easat-10606	625	29	an	an	DET
easat-10606	625	30	accuracy	accuracy	NOUN
easat-10606	625	31	of	of	ADP
easat-10606	625	32	81.76	81.76	NUM
easat-10606	625	33	%	%	NOUN
easat-10606	625	34	when	when	SCONJ
easat-10606	625	35	using	use	VERB
easat-10606	625	36	unigram	unigram	NOUN
easat-10606	625	37	and	and	CCONJ
easat-10606	625	38	bigram	bigram	NOUN
easat-10606	625	39	features	feature	NOUN
easat-10606	625	40	,	,	PUNCT
easat-10606	625	41	which	which	PRON
easat-10606	625	42	yielded	yield	VERB
easat-10606	625	43	the	the	DET
easat-10606	625	44	highest	high	ADJ
easat-10606	625	45	precision	precision	NOUN
easat-10606	625	46	,	,	PUNCT
easat-10606	625	47	recall	recall	NOUN
easat-10606	625	48	,	,	PUNCT
easat-10606	625	49	and	and	CCONJ
easat-10606	625	50	f	f	X
easat-10606	625	51	-	-	PUNCT
easat-10606	625	52	measure	measure	NOUN
easat-10606	625	53	.	.	PUNCT
easat-10606	626	1	logistic	logistic	ADJ
easat-10606	626	2	regression	regression	NOUN
easat-10606	626	3	(	(	PUNCT
easat-10606	626	4	lr	lr	NOUN
easat-10606	626	5	)	)	PUNCT
easat-10606	626	6	achieved	achieve	VERB
easat-10606	626	7	an	an	DET
easat-10606	626	8	accuracy	accuracy	NOUN
easat-10606	626	9	of	of	ADP
easat-10606	626	10	79.05	79.05	NUM
easat-10606	626	11	%	%	NOUN
easat-10606	626	12	,	,	PUNCT
easat-10606	626	13	which	which	PRON
easat-10606	626	14	is	be	AUX
easat-10606	626	15	similar	similar	ADJ
easat-10606	626	16	to	to	ADP
easat-10606	626	17	the	the	DET
easat-10606	626	18	results	result	NOUN
easat-10606	626	19	obtained	obtain	VERB
easat-10606	626	20	with	with	ADP
easat-10606	626	21	support	support	NOUN
easat-10606	626	22	vector	vector	NOUN
easat-10606	626	23	machine	machine	NOUN
easat-10606	626	24	(	(	PUNCT
easat-10606	626	25	svm	svm	PROPN
easat-10606	626	26	)	)	PUNCT
easat-10606	626	27	using	use	VERB
easat-10606	626	28	an	an	DET
easat-10606	626	29	n	n	NOUN
easat-10606	626	30	-	-	PUNCT
easat-10606	626	31	gram	gram	NOUN
easat-10606	626	32	(	(	PUNCT
easat-10606	626	33	1,2	1,2	NUM
easat-10606	626	34	)	)	PUNCT
easat-10606	626	35	approach	approach	NOUN
easat-10606	626	36	to	to	PART
easat-10606	626	37	extract	extract	VERB
easat-10606	626	38	more	more	ADJ
easat-10606	626	39	features	feature	NOUN
easat-10606	626	40	from	from	ADP
easat-10606	626	41	the	the	DET
easat-10606	626	42	comments	comment	NOUN
easat-10606	626	43	.	.	PUNCT
easat-10606	627	1	however	however	ADV
easat-10606	627	2	,	,	PUNCT
easat-10606	627	3	there	there	PRON
easat-10606	627	4	was	be	VERB
easat-10606	627	5	a	a	DET
easat-10606	627	6	slight	slight	ADJ
easat-10606	627	7	difference	difference	NOUN
easat-10606	627	8	in	in	ADP
easat-10606	627	9	their	their	PRON
easat-10606	627	10	precision	precision	NOUN
easat-10606	627	11	and	and	CCONJ
easat-10606	627	12	recall	recall	NOUN
easat-10606	627	13	values	value	NOUN
easat-10606	627	14	,	,	PUNCT
easat-10606	627	15	with	with	ADP
easat-10606	627	16	lr	lr	NOUN
easat-10606	627	17	having	have	VERB
easat-10606	627	18	0.7952	0.7952	NUM
easat-10606	627	19	precision	precision	NOUN
easat-10606	627	20	and	and	CCONJ
easat-10606	627	21	0.7978	0.7978	NUM
easat-10606	627	22	recall	recall	NOUN
easat-10606	627	23	,	,	PUNCT
easat-10606	627	24	while	while	SCONJ
easat-10606	627	25	svm	svm	PROPN
easat-10606	627	26	had	have	VERB
easat-10606	627	27	0	0	NUM
easat-10606	627	28	and	and	CCONJ
easat-10606	627	29	0.802	0.802	NUM
easat-10606	627	30	,	,	PUNCT
easat-10606	627	31	respectively	respectively	ADV
easat-10606	627	32	.	.	PUNCT
easat-10606	628	1	naive	naive	ADJ
easat-10606	628	2	bayes	bayes	NOUN
easat-10606	628	3	(	(	PUNCT
easat-10606	628	4	nb	nb	NOUN
easat-10606	628	5	)	)	PUNCT
easat-10606	628	6	produced	produce	VERB
easat-10606	628	7	a	a	DET
easat-10606	628	8	lower	low	ADJ
easat-10606	628	9	accuracy	accuracy	NOUN
easat-10606	628	10	of	of	ADP
easat-10606	628	11	0.50	0.50	NUM
easat-10606	628	12	,	,	PUNCT
easat-10606	628	13	with	with	ADP
easat-10606	628	14	precision	precision	NOUN
easat-10606	628	15	and	and	CCONJ
easat-10606	628	16	recall	recall	NOUN
easat-10606	628	17	values	value	NOUN
easat-10606	628	18	of	of	ADP
easat-10606	628	19	0.70	0.70	NUM
easat-10606	628	20	and	and	CCONJ
easat-10606	628	21	0.55	0.55	NUM
easat-10606	628	22	,	,	PUNCT
easat-10606	628	23	respectively	respectively	ADV
easat-10606	628	24	,	,	PUNCT
easat-10606	628	25	when	when	SCONJ
easat-10606	628	26	using	use	VERB
easat-10606	628	27	n	n	CCONJ
easat-10606	628	28	-	-	PUNCT
easat-10606	628	29	gram	gram	NOUN
easat-10606	628	30	features	feature	NOUN
easat-10606	628	31	.	.	PUNCT
easat-10606	629	1	as	as	SCONJ
easat-10606	629	2	shown	show	VERB
easat-10606	629	3	in	in	ADP
easat-10606	629	4	table	table	NOUN
easat-10606	629	5	2	2	NUM
easat-10606	629	6	and	and	CCONJ
easat-10606	629	7	figure	figure	VERB
easat-10606	629	8	6	6	NUM
easat-10606	629	9	,	,	PUNCT
easat-10606	629	10	each	each	DET
easat-10606	629	11	algorithm	algorithm	NOUN
easat-10606	629	12	's	's	PART
easat-10606	629	13	prediction	prediction	NOUN
easat-10606	629	14	on	on	ADP
easat-10606	629	15	the	the	DET
easat-10606	629	16	same	same	ADJ
easat-10606	629	17	student	student	NOUN
easat-10606	629	18	comment	comment	NOUN
easat-10606	629	19	indicates	indicate	VERB
easat-10606	629	20	that	that	SCONJ
easat-10606	629	21	reliance	reliance	NOUN
easat-10606	629	22	on	on	ADP
easat-10606	629	23	a	a	DET
easat-10606	629	24	single	single	ADJ
easat-10606	629	25	algorithm	algorithm	NOUN
easat-10606	629	26	is	be	AUX
easat-10606	629	27	insufficient	insufficient	ADJ
easat-10606	629	28	.	.	PUNCT
easat-10606	630	1	nb	nb	PROPN
easat-10606	630	2	is	be	AUX
easat-10606	630	3	biased	bias	VERB
easat-10606	630	4	and	and	CCONJ
easat-10606	630	5	predicted	predict	VERB
easat-10606	630	6	the	the	DET
easat-10606	630	7	comment	comment	NOUN
easat-10606	630	8	incorrectly	incorrectly	ADV
easat-10606	630	9	;	;	PUNCT
easat-10606	630	10	thus	thus	ADV
easat-10606	630	11	,	,	PUNCT
easat-10606	630	12	it	it	PRON
easat-10606	630	13	can	can	AUX
easat-10606	630	14	not	not	PART
easat-10606	630	15	be	be	AUX
easat-10606	630	16	used	use	VERB
easat-10606	630	17	as	as	ADP
easat-10606	630	18	the	the	DET
easat-10606	630	19	final	final	ADJ
easat-10606	630	20	classifier	classifier	NOUN
easat-10606	630	21	.	.	PUNCT
easat-10606	631	1	the	the	DET
easat-10606	631	2	final	final	ADJ
easat-10606	631	3	result	result	NOUN
easat-10606	631	4	,	,	PUNCT
easat-10606	631	5	highlighted	highlight	VERB
easat-10606	631	6	with	with	ADP
easat-10606	631	7	a	a	DET
easat-10606	631	8	green	green	ADJ
easat-10606	631	9	background	background	NOUN
easat-10606	631	10	,	,	PUNCT
easat-10606	631	11	represents	represent	VERB
easat-10606	631	12	the	the	DET
easat-10606	631	13	outcome	outcome	NOUN
easat-10606	631	14	of	of	ADP
easat-10606	631	15	the	the	DET
easat-10606	631	16	stacking	stacking	NOUN
easat-10606	631	17	model	model	NOUN
easat-10606	631	18	.	.	PUNCT
easat-10606	632	1	in	in	ADP
easat-10606	632	2	addition	addition	NOUN
easat-10606	632	3	,	,	PUNCT
easat-10606	632	4	among	among	ADP
easat-10606	632	5	the	the	DET
easat-10606	632	6	four	four	NUM
easat-10606	632	7	models	model	NOUN
easat-10606	632	8	employed	employ	VERB
easat-10606	632	9	,	,	PUNCT
easat-10606	632	10	the	the	DET
easat-10606	632	11	multilayer	multilayer	PROPN
easat-10606	632	12	perceptron	perceptron	PROPN
easat-10606	632	13	had	have	VERB
easat-10606	632	14	the	the	DET
easat-10606	632	15	best	good	ADJ
easat-10606	632	16	classification	classification	NOUN
easat-10606	632	17	accuracy	accuracy	NOUN
easat-10606	632	18	,	,	PUNCT
easat-10606	632	19	with	with	ADP
easat-10606	632	20	the	the	DET
easat-10606	632	21	highest	high	ADJ
easat-10606	632	22	precision	precision	NOUN
easat-10606	632	23	,	,	PUNCT
easat-10606	632	24	recall	recall	NOUN
easat-10606	632	25	,	,	PUNCT
easat-10606	632	26	and	and	CCONJ
easat-10606	632	27	f	f	X
easat-10606	632	28	-	-	PUNCT
easat-10606	632	29	measure	measure	NOUN
easat-10606	632	30	.	.	PUNCT
easat-10606	633	1	the	the	DET
easat-10606	633	2	naïve	naïve	ADJ
easat-10606	633	3	bayes	bayes	PROPN
easat-10606	633	4	model	model	NOUN
easat-10606	633	5	's	's	PART
easat-10606	633	6	accuracy	accuracy	NOUN
easat-10606	633	7	was	be	AUX
easat-10606	633	8	slightly	slightly	ADV
easat-10606	633	9	lower	low	ADJ
easat-10606	633	10	across	across	ADP
easat-10606	633	11	the	the	DET
easat-10606	633	12	four	four	NUM
easat-10606	633	13	metrics	metric	NOUN
easat-10606	633	14	used	use	VERB
easat-10606	633	15	to	to	PART
easat-10606	633	16	measure	measure	VERB
easat-10606	633	17	performance	performance	NOUN
easat-10606	633	18	,	,	PUNCT
easat-10606	633	19	as	as	SCONJ
easat-10606	633	20	illustrated	illustrate	VERB
easat-10606	633	21	in	in	ADP
easat-10606	633	22	the	the	DET
easat-10606	633	23	figures	figure	NOUN
easat-10606	633	24	.	.	PUNCT
easat-10606	634	1	the	the	DET
easat-10606	634	2	multilayer	multilayer	PROPN
easat-10606	634	3	perceptron	perceptron	PROPN
easat-10606	634	4	demonstrated	demonstrate	VERB
easat-10606	634	5	superior	superior	ADJ
easat-10606	634	6	metrics	metric	NOUN
easat-10606	634	7	,	,	PUNCT
easat-10606	634	8	as	as	SCONJ
easat-10606	634	9	shown	show	VERB
easat-10606	634	10	in	in	ADP
easat-10606	634	11	fig	fig	NOUN
easat-10606	634	12	.	.	PUNCT
easat-10606	635	1	13	13	NUM
easat-10606	635	2	,	,	PUNCT
easat-10606	635	3	compared	compare	VERB
easat-10606	635	4	to	to	ADP
easat-10606	635	5	the	the	DET
easat-10606	635	6	other	other	ADJ
easat-10606	635	7	algorithms	algorithm	NOUN
easat-10606	635	8	.	.	PUNCT
easat-10606	636	1	the	the	DET
easat-10606	636	2	stacking	stack	VERB
easat-10606	636	3	ensemble	ensemble	ADJ
easat-10606	636	4	algorithm	algorithm	NOUN
easat-10606	636	5	,	,	PUNCT
easat-10606	636	6	which	which	PRON
easat-10606	636	7	forms	form	VERB
easat-10606	636	8	the	the	DET
easat-10606	636	9	basis	basis	NOUN
easat-10606	636	10	of	of	ADP
easat-10606	636	11	our	our	PRON
easat-10606	636	12	analysis	analysis	NOUN
easat-10606	636	13	,	,	PUNCT
easat-10606	636	14	follows	follow	VERB
easat-10606	636	15	the	the	DET
easat-10606	636	16	multilayer	multilayer	PROPN
easat-10606	636	17	perceptron	perceptron	PROPN
easat-10606	636	18	.	.	PUNCT
easat-10606	637	1	the	the	DET
easat-10606	637	2	naïve	naïve	ADJ
easat-10606	637	3	bayes	bayes	PROPN
easat-10606	637	4	algorithm	algorithm	PROPN
easat-10606	637	5	performed	perform	VERB
easat-10606	637	6	worse	bad	ADJ
easat-10606	637	7	than	than	ADP
easat-10606	637	8	the	the	DET
easat-10606	637	9	other	other	ADJ
easat-10606	637	10	models	model	NOUN
easat-10606	637	11	.	.	PUNCT
easat-10606	638	1	findings	finding	NOUN
easat-10606	638	2	indicate	indicate	VERB
easat-10606	638	3	that	that	SCONJ
easat-10606	638	4	no	no	DET
easat-10606	638	5	single	single	ADJ
easat-10606	638	6	class	class	NOUN
easat-10606	638	7	can	can	AUX
easat-10606	638	8	solely	solely	ADV
easat-10606	638	9	determine	determine	VERB
easat-10606	638	10	the	the	DET
easat-10606	638	11	final	final	ADJ
easat-10606	638	12	results	result	NOUN
easat-10606	638	13	.	.	PUNCT
easat-10606	639	1	the	the	DET
easat-10606	639	2	multilayer	multilayer	PROPN
easat-10606	639	3	perceptron	perceptron	PROPN
easat-10606	639	4	is	be	AUX
easat-10606	639	5	a	a	DET
easat-10606	639	6	neural	neural	ADJ
easat-10606	639	7	network	network	NOUN
easat-10606	639	8	with	with	ADP
easat-10606	639	9	three	three	NUM
easat-10606	639	10	layers	layer	NOUN
easat-10606	639	11	and	and	CCONJ
easat-10606	639	12	500	500	NUM
easat-10606	639	13	hidden	hide	VERB
easat-10606	639	14	units	unit	NOUN
easat-10606	639	15	per	per	ADP
easat-10606	639	16	layer	layer	NOUN
easat-10606	639	17	.	.	PUNCT
easat-10606	640	1	based	base	VERB
easat-10606	640	2	on	on	ADP
easat-10606	640	3	our	our	PRON
easat-10606	640	4	results	result	NOUN
easat-10606	640	5	,	,	PUNCT
easat-10606	640	6	the	the	DET
easat-10606	640	7	neural	neural	ADJ
easat-10606	640	8	network	network	NOUN
easat-10606	640	9	algorithm	algorithm	NOUN
easat-10606	640	10	is	be	AUX
easat-10606	640	11	the	the	DET
easat-10606	640	12	most	most	ADV
easat-10606	640	13	effective	effective	ADJ
easat-10606	640	14	among	among	ADP
easat-10606	640	15	all	all	PRON
easat-10606	640	16	.	.	PUNCT
easat-10606	641	1	4.2.1	4.2.1	NOUN
easat-10606	641	2	.	.	PUNCT
easat-10606	642	1	comparison	comparison	NOUN
easat-10606	642	2	with	with	ADP
easat-10606	642	3	other	other	ADJ
easat-10606	642	4	studies	study	NOUN
easat-10606	642	5	dhanalakshmi	dhanalakshmi	NOUN
easat-10606	642	6	et	et	PROPN
easat-10606	642	7	al	al	PROPN
easat-10606	642	8	.	.	PUNCT
easat-10606	643	1	[	[	X
easat-10606	643	2	61	61	NUM
easat-10606	643	3	]	]	PUNCT
easat-10606	643	4	explored	explore	VERB
easat-10606	643	5	opinion	opinion	NOUN
easat-10606	643	6	mining	mining	NOUN
easat-10606	643	7	utilizing	utilize	VERB
easat-10606	643	8	supervised	supervised	ADJ
easat-10606	643	9	learning	learning	NOUN
easat-10606	643	10	algorithms	algorithm	NOUN
easat-10606	643	11	(	(	PUNCT
easat-10606	643	12	svm	svm	PROPN
easat-10606	643	13	,	,	PUNCT
easat-10606	643	14	nb	nb	PROPN
easat-10606	643	15	,	,	PUNCT
easat-10606	643	16	knn	knn	PROPN
easat-10606	643	17	,	,	PUNCT
easat-10606	643	18	and	and	CCONJ
easat-10606	643	19	mlp	mlp	NOUN
easat-10606	643	20	)	)	PUNCT
easat-10606	643	21	to	to	PART
easat-10606	643	22	discover	discover	VERB
easat-10606	643	23	the	the	DET
easat-10606	643	24	polarity	polarity	NOUN
easat-10606	643	25	of	of	ADP
easat-10606	643	26	student	student	NOUN
easat-10606	643	27	feedback	feedback	NOUN
easat-10606	643	28	using	use	VERB
easat-10606	643	29	the	the	DET
easat-10606	643	30	rapidminer	rapidminer	NOUN
easat-10606	643	31	tool	tool	NOUN
easat-10606	643	32	.	.	PUNCT
easat-10606	644	1	the	the	DET
easat-10606	644	2	findings	finding	NOUN
easat-10606	644	3	from	from	ADP
easat-10606	644	4	the	the	DET
easat-10606	644	5	experiment	experiment	NOUN
easat-10606	644	6	showed	show	VERB
easat-10606	644	7	that	that	SCONJ
easat-10606	644	8	the	the	DET
easat-10606	644	9	naïve	naïve	ADJ
easat-10606	644	10	bayes	bayes	PROPN
easat-10606	644	11	algorithm	algorithm	PROPN
easat-10606	644	12	performed	perform	VERB
easat-10606	644	13	better	well	ADV
easat-10606	644	14	than	than	ADP
easat-10606	644	15	other	other	ADJ
easat-10606	644	16	learning	learn	VERB
easat-10606	644	17	algorithms	algorithm	NOUN
easat-10606	644	18	in	in	ADP
easat-10606	644	19	terms	term	NOUN
easat-10606	644	20	of	of	ADP
easat-10606	644	21	accuracy	accuracy	NOUN
easat-10606	644	22	and	and	CCONJ
easat-10606	644	23	recall	recall	NOUN
easat-10606	644	24	.	.	PUNCT
easat-10606	645	1	the	the	DET
easat-10606	645	2	results	result	NOUN
easat-10606	645	3	obtained	obtain	VERB
easat-10606	645	4	by	by	ADP
easat-10606	645	5	the	the	DET
easat-10606	645	6	authors	author	NOUN
easat-10606	645	7	differ	differ	VERB
easat-10606	645	8	from	from	ADP
easat-10606	645	9	the	the	DET
easat-10606	645	10	current	current	ADJ
easat-10606	645	11	findings	finding	NOUN
easat-10606	645	12	in	in	SCONJ
easat-10606	645	13	that	that	SCONJ
easat-10606	645	14	the	the	DET
easat-10606	645	15	naïve	naïve	ADJ
easat-10606	645	16	bayes	bayes	PROPN
easat-10606	645	17	algorithm	algorithm	PROPN
easat-10606	645	18	achieved	achieve	VERB
easat-10606	645	19	the	the	DET
easat-10606	645	20	lowest	low	ADJ
easat-10606	645	21	accuracy	accuracy	NOUN
easat-10606	645	22	,	,	PUNCT
easat-10606	645	23	precision	precision	NOUN
easat-10606	645	24	,	,	PUNCT
easat-10606	645	25	recall	recall	NOUN
easat-10606	645	26	,	,	PUNCT
easat-10606	645	27	and	and	CCONJ
easat-10606	645	28	f	f	X
easat-10606	645	29	-	-	PUNCT
easat-10606	645	30	score	score	NOUN
easat-10606	645	31	values	value	NOUN
easat-10606	645	32	.	.	PUNCT
easat-10606	646	1	this	this	PRON
easat-10606	646	2	is	be	AUX
easat-10606	646	3	because	because	SCONJ
easat-10606	646	4	the	the	DET
easat-10606	646	5	nb	nb	PROPN
easat-10606	646	6	algorithm	algorithm	PROPN
easat-10606	646	7	is	be	AUX
easat-10606	646	8	biased	bias	VERB
easat-10606	646	9	and	and	CCONJ
easat-10606	646	10	predicted	predict	VERB
easat-10606	646	11	the	the	DET
easat-10606	646	12	comments	comment	NOUN
easat-10606	646	13	incorrectly	incorrectly	ADV
easat-10606	646	14	.	.	PUNCT
easat-10606	647	1	therefore	therefore	ADV
easat-10606	647	2	,	,	PUNCT
easat-10606	647	3	it	it	PRON
easat-10606	647	4	was	be	AUX
easat-10606	647	5	not	not	PART
easat-10606	647	6	used	use	VERB
easat-10606	647	7	as	as	ADP
easat-10606	647	8	the	the	DET
easat-10606	647	9	final	final	ADJ
easat-10606	647	10	algorithm	algorithm	NOUN
easat-10606	647	11	.	.	PUNCT
easat-10606	648	1	sultana	sultana	NOUN
easat-10606	648	2	et	et	PROPN
easat-10606	648	3	al	al	PROPN
easat-10606	648	4	.	.	PUNCT
easat-10606	649	1	[	[	X
easat-10606	649	2	79	79	NUM
easat-10606	649	3	]	]	PUNCT
easat-10606	649	4	presented	present	VERB
easat-10606	649	5	a	a	DET
easat-10606	649	6	prediction	prediction	NOUN
easat-10606	649	7	of	of	ADP
easat-10606	649	8	sentiment	sentiment	NOUN
easat-10606	649	9	analysis	analysis	NOUN
easat-10606	649	10	on	on	ADP
easat-10606	649	11	educational	educational	ADJ
easat-10606	649	12	data	datum	NOUN
easat-10606	649	13	based	base	VERB
easat-10606	649	14	on	on	ADP
easat-10606	649	15	the	the	DET
easat-10606	649	16	deep	deep	ADJ
easat-10606	649	17	learning	learning	NOUN
easat-10606	649	18	approach	approach	NOUN
easat-10606	649	19	.	.	PUNCT
easat-10606	650	1	in	in	ADP
easat-10606	650	2	the	the	DET
easat-10606	650	3	study	study	NOUN
easat-10606	650	4	,	,	PUNCT
easat-10606	650	5	results	result	NOUN
easat-10606	650	6	indicated	indicate	VERB
easat-10606	650	7	that	that	SCONJ
easat-10606	650	8	svm	svm	PROPN
easat-10606	650	9	and	and	CCONJ
easat-10606	650	10	mlp	mlp	PROPN
easat-10606	650	11	deep	deep	ADJ
easat-10606	650	12	learning	learning	NOUN
easat-10606	650	13	were	be	AUX
easat-10606	650	14	the	the	DET
easat-10606	650	15	bestperforming	bestperforme	VERB
easat-10606	650	16	learning	learning	NOUN
easat-10606	650	17	methods	method	NOUN
easat-10606	650	18	,	,	PUNCT
easat-10606	650	19	achieving	achieve	VERB
easat-10606	650	20	78.75	78.75	NUM
easat-10606	650	21	%	%	NOUN
easat-10606	650	22	and	and	CCONJ
easat-10606	650	23	78.33	78.33	NUM
easat-10606	650	24	%	%	NOUN
easat-10606	650	25	accuracy	accuracy	NOUN
easat-10606	650	26	,	,	PUNCT
easat-10606	650	27	respectively	respectively	ADV
easat-10606	650	28	,	,	PUNCT
easat-10606	650	29	as	as	ADV
easat-10606	650	30	well	well	ADV
easat-10606	650	31	as	as	ADP
easat-10606	650	32	good	good	ADJ
easat-10606	650	33	performance	performance	NOUN
easat-10606	650	34	in	in	ADP
easat-10606	650	35	terms	term	NOUN
easat-10606	650	36	of	of	ADP
easat-10606	650	37	their	their	PRON
easat-10606	650	38	specificity	specificity	NOUN
easat-10606	650	39	(	(	PUNCT
easat-10606	650	40	recall	recall	NOUN
easat-10606	650	41	)	)	PUNCT
easat-10606	650	42	,	,	PUNCT
easat-10606	650	43	sensitivity	sensitivity	NOUN
easat-10606	650	44	(	(	PUNCT
easat-10606	650	45	precision	precision	NOUN
easat-10606	650	46	)	)	PUNCT
easat-10606	650	47	,	,	PUNCT
easat-10606	650	48	and	and	CCONJ
easat-10606	650	49	roc	roc	PROPN
easat-10606	650	50	curve	curve	NOUN
easat-10606	650	51	area	area	NOUN
easat-10606	650	52	.	.	PUNCT
easat-10606	651	1	similarly	similarly	ADV
easat-10606	651	2	,	,	PUNCT
easat-10606	651	3	ramadhani	ramadhani	VERB
easat-10606	651	4	and	and	CCONJ
easat-10606	651	5	goo	goo	VERB
easat-10606	652	1	[	[	PUNCT
easat-10606	652	2	80	80	NUM
easat-10606	652	3	]	]	PUNCT
easat-10606	652	4	applied	apply	VERB
easat-10606	652	5	basic	basic	ADJ
easat-10606	652	6	ml	ml	NOUN
easat-10606	652	7	methods	method	NOUN
easat-10606	652	8	in	in	ADP
easat-10606	652	9	sa	sa	PROPN
easat-10606	652	10	,	,	PUNCT
easat-10606	652	11	where	where	SCONJ
easat-10606	652	12	they	they	PRON
easat-10606	652	13	only	only	ADV
easat-10606	652	14	achieved	achieve	VERB
easat-10606	652	15	78.33	78.33	NUM
easat-10606	652	16	%	%	NOUN
easat-10606	652	17	and	and	CCONJ
easat-10606	652	18	75.03	75.03	NUM
easat-10606	652	19	%	%	NOUN
easat-10606	652	20	accuracy	accuracy	NOUN
easat-10606	652	21	.	.	PUNCT
easat-10606	653	1	however	however	ADV
easat-10606	653	2	,	,	PUNCT
easat-10606	653	3	it	it	PRON
easat-10606	653	4	can	can	AUX
easat-10606	653	5	be	be	AUX
easat-10606	653	6	observed	observe	VERB
easat-10606	653	7	that	that	SCONJ
easat-10606	653	8	the	the	DET
easat-10606	653	9	results	result	NOUN
easat-10606	653	10	obtained	obtain	VERB
easat-10606	653	11	from	from	ADP
easat-10606	653	12	the	the	DET
easat-10606	653	13	present	present	ADJ
easat-10606	653	14	study	study	NOUN
easat-10606	653	15	achieved	achieve	VERB
easat-10606	653	16	better	well	ADJ
easat-10606	653	17	performance	performance	NOUN
easat-10606	653	18	compared	compare	VERB
easat-10606	653	19	to	to	ADP
easat-10606	653	20	those	those	PRON
easat-10606	653	21	obtained	obtain	VERB
easat-10606	653	22	in	in	ADP
easat-10606	653	23	sultana	sultana	NOUN
easat-10606	653	24	et	et	PROPN
easat-10606	653	25	al	al	PROPN
easat-10606	653	26	.	.	PUNCT
easat-10606	654	1	[	[	X
easat-10606	654	2	79	79	NUM
easat-10606	654	3	]	]	PUNCT
easat-10606	654	4	and	and	CCONJ
easat-10606	654	5	ramadhani	ramadhani	ADJ
easat-10606	654	6	and	and	CCONJ
easat-10606	654	7	goo	goo	VERB
easat-10606	654	8	[	[	X
easat-10606	654	9	80	80	NUM
easat-10606	654	10	]	]	PUNCT
easat-10606	654	11	,	,	PUNCT
easat-10606	654	12	respectively	respectively	ADV
easat-10606	654	13	,	,	PUNCT
easat-10606	654	14	with	with	ADP
easat-10606	654	15	mlp	mlp	PROPN
easat-10606	654	16	and	and	CCONJ
easat-10606	654	17	the	the	DET
easat-10606	654	18	stacking	stack	VERB
easat-10606	654	19	ensemble	ensemble	ADJ
easat-10606	654	20	method	method	NOUN
easat-10606	654	21	employed	employ	VERB
easat-10606	654	22	,	,	PUNCT
easat-10606	654	23	having	have	VERB
easat-10606	654	24	higher	high	ADJ
easat-10606	654	25	accuracy	accuracy	NOUN
easat-10606	654	26	,	,	PUNCT
easat-10606	654	27	precision	precision	NOUN
easat-10606	654	28	,	,	PUNCT
easat-10606	654	29	recall	recall	NOUN
easat-10606	654	30	,	,	PUNCT
easat-10606	654	31	and	and	CCONJ
easat-10606	654	32	f1	f1	NOUN
easat-10606	654	33	-	-	PUNCT
easat-10606	654	34	score	score	NOUN
easat-10606	654	35	of	of	ADP
easat-10606	654	36	81.76	81.76	NUM
easat-10606	654	37	%	%	NOUN
easat-10606	654	38	respectively	respectively	ADV
easat-10606	654	39	.	.	PUNCT
easat-10606	655	1	1174	1174	NUM
easat-10606	655	2	edelweiss	edelweiss	PROPN
easat-10606	655	3	applied	apply	VERB
easat-10606	655	4	science	science	NOUN
easat-10606	655	5	and	and	CCONJ
easat-10606	655	6	technology	technology	NOUN
easat-10606	655	7	issn	issn	PROPN
easat-10606	655	8	:	:	PUNCT
easat-10606	655	9	2576	2576	NUM
easat-10606	655	10	-	-	SYM
easat-10606	655	11	8484	8484	NUM
easat-10606	655	12	vol	vol	NOUN
easat-10606	655	13	.	.	PROPN
easat-10606	656	1	9	9	NUM
easat-10606	656	2	,	,	PUNCT
easat-10606	656	3	no	no	INTJ
easat-10606	656	4	.	.	NOUN
easat-10606	656	5	10	10	NUM
easat-10606	656	6	:	:	SYM
easat-10606	656	7	1149	1149	NUM
easat-10606	656	8	-	-	SYM
easat-10606	656	9	1180	1180	NUM
easat-10606	656	10	,	,	PUNCT
easat-10606	656	11	2025	2025	NUM
easat-10606	656	12	doi	doi	NOUN
easat-10606	656	13	:	:	PUNCT
easat-10606	656	14	10.55214/2576	10.55214/2576	NUM
easat-10606	656	15	-	-	SYM
easat-10606	656	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	656	17	©	©	ADP
easat-10606	656	18	2025	2025	NUM
easat-10606	656	19	by	by	ADP
easat-10606	656	20	the	the	DET
easat-10606	656	21	authors	author	NOUN
easat-10606	656	22	;	;	PUNCT
easat-10606	656	23	licensee	licensee	PROPN
easat-10606	656	24	learning	learn	VERB
easat-10606	656	25	gate	gate	PROPN
easat-10606	656	26	ashraf	ashraf	PROPN
easat-10606	656	27	et	et	PROPN
easat-10606	656	28	al	al	PROPN
easat-10606	656	29	.	.	PUNCT
easat-10606	657	1	[	[	X
easat-10606	657	2	43	43	NUM
easat-10606	657	3	]	]	PUNCT
easat-10606	657	4	investigated	investigate	VERB
easat-10606	657	5	the	the	DET
easat-10606	657	6	pedagogical	pedagogical	ADJ
easat-10606	657	7	dataset	dataset	NOUN
easat-10606	657	8	using	use	VERB
easat-10606	657	9	a	a	DET
easat-10606	657	10	more	more	ADV
easat-10606	657	11	effective	effective	ADJ
easat-10606	657	12	ensemble	ensemble	ADJ
easat-10606	657	13	classifier	classifier	NOUN
easat-10606	657	14	called	call	VERB
easat-10606	657	15	stacking	stacking	NOUN
easat-10606	657	16	.	.	PUNCT
easat-10606	658	1	moreover	moreover	ADV
easat-10606	658	2	,	,	PUNCT
easat-10606	658	3	in	in	ADP
easat-10606	658	4	the	the	DET
easat-10606	658	5	study	study	NOUN
easat-10606	658	6	by	by	ADP
easat-10606	658	7	ashraf	ashraf	PROPN
easat-10606	658	8	et	et	PROPN
easat-10606	658	9	al	al	PROPN
easat-10606	658	10	.	.	PROPN
easat-10606	658	11	,	,	PUNCT
easat-10606	658	12	the	the	DET
easat-10606	658	13	researchers	researcher	NOUN
easat-10606	658	14	aimed	aim	VERB
easat-10606	658	15	to	to	PART
easat-10606	658	16	compare	compare	VERB
easat-10606	658	17	meta	meta	ADJ
easat-10606	658	18	and	and	CCONJ
easat-10606	658	19	base	base	NOUN
easat-10606	658	20	classifiers	classifier	NOUN
easat-10606	658	21	to	to	PART
easat-10606	658	22	determine	determine	VERB
easat-10606	658	23	which	which	PRON
easat-10606	658	24	are	be	AUX
easat-10606	658	25	more	more	ADV
easat-10606	658	26	effective	effective	ADJ
easat-10606	658	27	for	for	ADP
easat-10606	658	28	making	make	VERB
easat-10606	658	29	predictions	prediction	NOUN
easat-10606	658	30	in	in	ADP
easat-10606	658	31	an	an	DET
easat-10606	658	32	educational	educational	ADJ
easat-10606	658	33	context	context	NOUN
easat-10606	658	34	.	.	PUNCT
easat-10606	659	1	it	it	PRON
easat-10606	659	2	was	be	AUX
easat-10606	659	3	observed	observe	VERB
easat-10606	659	4	that	that	SCONJ
easat-10606	659	5	the	the	DET
easat-10606	659	6	meta	meta	PROPN
easat-10606	659	7	classifier	classifier	NOUN
easat-10606	659	8	,	,	PUNCT
easat-10606	659	9	through	through	ADP
easat-10606	659	10	stacking	stacking	NOUN
easat-10606	659	11	,	,	PUNCT
easat-10606	659	12	achieved	achieve	VERB
easat-10606	659	13	an	an	DET
easat-10606	659	14	outstanding	outstanding	ADJ
easat-10606	659	15	performance	performance	NOUN
easat-10606	659	16	of	of	ADP
easat-10606	659	17	95.65	95.65	NUM
easat-10606	659	18	%	%	NOUN
easat-10606	659	19	,	,	PUNCT
easat-10606	659	20	while	while	SCONJ
easat-10606	659	21	among	among	ADP
easat-10606	659	22	the	the	DET
easat-10606	659	23	three	three	NUM
easat-10606	659	24	base	base	NOUN
easat-10606	659	25	classifiers	classifier	NOUN
easat-10606	659	26	,	,	PUNCT
easat-10606	659	27	random	random	ADJ
easat-10606	659	28	forest	forest	NOUN
easat-10606	659	29	achieved	achieve	VERB
easat-10606	659	30	a	a	DET
easat-10606	659	31	noteworthy	noteworthy	ADJ
easat-10606	659	32	prediction	prediction	NOUN
easat-10606	659	33	accuracy	accuracy	NOUN
easat-10606	659	34	of	of	ADP
easat-10606	659	35	95.76	95.76	NUM
easat-10606	659	36	%	%	NOUN
easat-10606	659	37	.	.	PUNCT
easat-10606	660	1	furthermore	furthermore	ADV
easat-10606	660	2	,	,	PUNCT
easat-10606	660	3	when	when	SCONJ
easat-10606	660	4	the	the	DET
easat-10606	660	5	dataset	dataset	NOUN
easat-10606	660	6	was	be	AUX
easat-10606	660	7	further	far	ADV
easat-10606	660	8	analyzed	analyze	VERB
easat-10606	660	9	and	and	CCONJ
easat-10606	660	10	subjected	subject	VERB
easat-10606	660	11	to	to	ADP
easat-10606	660	12	undersampling	undersample	VERB
easat-10606	660	13	and	and	CCONJ
easat-10606	660	14	oversampling	oversampling	ADJ
easat-10606	660	15	(	(	PUNCT
easat-10606	660	16	smote	smote	ADJ
easat-10606	660	17	)	)	PUNCT
easat-10606	660	18	techniques	technique	NOUN
easat-10606	660	19	,	,	PUNCT
easat-10606	660	20	the	the	DET
easat-10606	660	21	authors	author	NOUN
easat-10606	660	22	found	find	VERB
easat-10606	660	23	no	no	DET
easat-10606	660	24	discrepancy	discrepancy	NOUN
easat-10606	660	25	in	in	ADP
easat-10606	660	26	the	the	DET
easat-10606	660	27	results	result	NOUN
easat-10606	660	28	.	.	PUNCT
easat-10606	661	1	olabode	olabode	PROPN
easat-10606	661	2	et	et	PROPN
easat-10606	661	3	al	al	PROPN
easat-10606	661	4	.	.	PUNCT
easat-10606	662	1	[	[	X
easat-10606	662	2	81	81	NUM
easat-10606	662	3	]	]	PUNCT
easat-10606	662	4	summarized	summarize	VERB
easat-10606	662	5	,	,	PUNCT
easat-10606	662	6	reviewed	review	VERB
easat-10606	662	7	,	,	PUNCT
easat-10606	662	8	and	and	CCONJ
easat-10606	662	9	developed	develop	VERB
easat-10606	662	10	a	a	DET
easat-10606	662	11	model	model	NOUN
easat-10606	662	12	for	for	ADP
easat-10606	662	13	diagnosing	diagnose	VERB
easat-10606	662	14	head	head	NOUN
easat-10606	662	15	and	and	CCONJ
easat-10606	662	16	neck	neck	NOUN
easat-10606	662	17	cancer	cancer	NOUN
easat-10606	662	18	through	through	ADP
easat-10606	662	19	the	the	DET
easat-10606	662	20	effective	effective	ADJ
easat-10606	662	21	application	application	NOUN
easat-10606	662	22	of	of	ADP
easat-10606	662	23	stacked	stack	VERB
easat-10606	662	24	ensemble	ensemble	ADJ
easat-10606	662	25	learning	learning	NOUN
easat-10606	662	26	approaches	approach	NOUN
easat-10606	662	27	.	.	PUNCT
easat-10606	663	1	the	the	DET
easat-10606	663	2	classification	classification	NOUN
easat-10606	663	3	methods	method	NOUN
easat-10606	663	4	,	,	PUNCT
easat-10606	663	5	such	such	ADJ
easat-10606	663	6	as	as	ADP
easat-10606	663	7	decision	decision	NOUN
easat-10606	663	8	tree	tree	NOUN
easat-10606	663	9	(	(	PUNCT
easat-10606	663	10	c4.5	c4.5	PROPN
easat-10606	663	11	)	)	PUNCT
easat-10606	663	12	,	,	PUNCT
easat-10606	663	13	knn	knn	PROPN
easat-10606	663	14	,	,	PUNCT
easat-10606	663	15	and	and	CCONJ
easat-10606	663	16	naive	naive	ADJ
easat-10606	663	17	bayes	bayes	NOUN
easat-10606	663	18	(	(	PUNCT
easat-10606	663	19	the	the	DET
easat-10606	663	20	base	base	NOUN
easat-10606	663	21	-	-	PUNCT
easat-10606	663	22	level	level	NOUN
easat-10606	663	23	classifiers	classifier	NOUN
easat-10606	663	24	)	)	PUNCT
easat-10606	663	25	,	,	PUNCT
easat-10606	663	26	were	be	AUX
easat-10606	663	27	combined	combine	VERB
easat-10606	663	28	via	via	ADP
easat-10606	663	29	a	a	DET
easat-10606	663	30	meta	meta	ADJ
easat-10606	663	31	-	-	PUNCT
easat-10606	663	32	classifier	classifier	NOUN
easat-10606	663	33	,	,	PUNCT
easat-10606	663	34	namely	namely	ADV
easat-10606	663	35	logistic	logistic	ADJ
easat-10606	663	36	regression	regression	NOUN
easat-10606	663	37	,	,	PUNCT
easat-10606	663	38	with	with	SCONJ
easat-10606	663	39	cross	cross	ADJ
easat-10606	663	40	-	-	ADJ
easat-10606	663	41	validation	validation	NOUN
easat-10606	663	42	applied	apply	VERB
easat-10606	663	43	.	.	PUNCT
easat-10606	664	1	the	the	DET
easat-10606	664	2	results	result	NOUN
easat-10606	664	3	showed	show	VERB
easat-10606	664	4	that	that	SCONJ
easat-10606	664	5	the	the	DET
easat-10606	664	6	stacked	stack	VERB
easat-10606	664	7	model	model	NOUN
easat-10606	664	8	outperformed	outperform	VERB
easat-10606	664	9	individual	individual	ADJ
easat-10606	664	10	machine	machine	NOUN
easat-10606	664	11	learning	learning	NOUN
easat-10606	664	12	models	model	NOUN
easat-10606	664	13	,	,	PUNCT
easat-10606	664	14	achieving	achieve	VERB
easat-10606	664	15	the	the	DET
easat-10606	664	16	best	good	ADJ
easat-10606	664	17	classification	classification	NOUN
easat-10606	664	18	accuracy	accuracy	NOUN
easat-10606	664	19	,	,	PUNCT
easat-10606	664	20	precision	precision	NOUN
easat-10606	664	21	,	,	PUNCT
easat-10606	664	22	recall	recall	NOUN
easat-10606	664	23	,	,	PUNCT
easat-10606	664	24	and	and	CCONJ
easat-10606	664	25	f1	f1	NOUN
easat-10606	664	26	-	-	PUNCT
easat-10606	664	27	score	score	NOUN
easat-10606	664	28	of	of	ADP
easat-10606	664	29	98.57	98.57	NUM
easat-10606	664	30	%	%	NOUN
easat-10606	664	31	,	,	PUNCT
easat-10606	664	32	98.54	98.54	NUM
easat-10606	664	33	%	%	NOUN
easat-10606	664	34	,	,	PUNCT
easat-10606	664	35	97.64	97.64	NUM
easat-10606	664	36	%	%	NOUN
easat-10606	664	37	,	,	PUNCT
easat-10606	664	38	and	and	CCONJ
easat-10606	664	39	98.09	98.09	NUM
easat-10606	664	40	%	%	NOUN
easat-10606	664	41	,	,	PUNCT
easat-10606	664	42	respectively	respectively	ADV
easat-10606	664	43	,	,	PUNCT
easat-10606	664	44	using	use	VERB
easat-10606	664	45	the	the	DET
easat-10606	664	46	chi	chi	ADJ
easat-10606	664	47	-	-	PUNCT
easat-10606	664	48	square	square	ADJ
easat-10606	664	49	method	method	NOUN
easat-10606	664	50	for	for	ADP
easat-10606	664	51	feature	feature	NOUN
easat-10606	664	52	selection	selection	NOUN
easat-10606	664	53	.	.	PUNCT
easat-10606	665	1	the	the	DET
easat-10606	665	2	methodology	methodology	NOUN
easat-10606	665	3	employed	employ	VERB
easat-10606	665	4	in	in	ADP
easat-10606	665	5	this	this	DET
easat-10606	665	6	work	work	NOUN
easat-10606	665	7	aligns	align	VERB
easat-10606	665	8	with	with	ADP
easat-10606	665	9	the	the	DET
easat-10606	665	10	present	present	ADJ
easat-10606	665	11	study	study	NOUN
easat-10606	665	12	,	,	PUNCT
easat-10606	665	13	as	as	SCONJ
easat-10606	665	14	four	four	NUM
easat-10606	665	15	independent	independent	ADJ
easat-10606	665	16	classification	classification	NOUN
easat-10606	665	17	algorithms	algorithm	NOUN
easat-10606	665	18	,	,	PUNCT
easat-10606	665	19	lr	lr	INTJ
easat-10606	665	20	,	,	PUNCT
easat-10606	665	21	svm	svm	PROPN
easat-10606	665	22	,	,	PUNCT
easat-10606	665	23	mlp	mlp	NOUN
easat-10606	665	24	,	,	PUNCT
easat-10606	665	25	and	and	CCONJ
easat-10606	665	26	nb	nb	PROPN
easat-10606	665	27	were	be	AUX
easat-10606	665	28	applied	apply	VERB
easat-10606	665	29	together	together	ADV
easat-10606	665	30	with	with	ADP
easat-10606	665	31	a	a	DET
easat-10606	665	32	stacked	stack	VERB
easat-10606	665	33	ensemble	ensemble	ADJ
easat-10606	665	34	through	through	ADP
easat-10606	665	35	decision	decision	NOUN
easat-10606	665	36	tree	tree	NOUN
easat-10606	665	37	(	(	PUNCT
easat-10606	665	38	c4.5	c4.5	PROPN
easat-10606	665	39	)	)	PUNCT
easat-10606	665	40	,	,	PUNCT
easat-10606	665	41	knn	knn	PROPN
easat-10606	665	42	,	,	PUNCT
easat-10606	665	43	naive	naive	ADJ
easat-10606	665	44	bayes	bayes	NOUN
easat-10606	665	45	,	,	PUNCT
easat-10606	665	46	and	and	CCONJ
easat-10606	665	47	the	the	DET
easat-10606	665	48	stacked	stack	VERB
easat-10606	665	49	ensemble	ensemble	ADJ
easat-10606	665	50	method	method	NOUN
easat-10606	665	51	.	.	PUNCT
easat-10606	666	1	however	however	ADV
easat-10606	666	2	,	,	PUNCT
easat-10606	666	3	the	the	DET
easat-10606	666	4	classification	classification	NOUN
easat-10606	666	5	accuracy	accuracy	NOUN
easat-10606	666	6	,	,	PUNCT
easat-10606	666	7	precision	precision	NOUN
easat-10606	666	8	,	,	PUNCT
easat-10606	666	9	recall	recall	NOUN
easat-10606	666	10	,	,	PUNCT
easat-10606	666	11	and	and	CCONJ
easat-10606	666	12	f1	f1	NOUN
easat-10606	666	13	-	-	PUNCT
easat-10606	666	14	score	score	NOUN
easat-10606	666	15	obtained	obtain	VERB
easat-10606	666	16	in	in	ADP
easat-10606	666	17	the	the	DET
easat-10606	666	18	present	present	ADJ
easat-10606	666	19	study	study	NOUN
easat-10606	666	20	are	be	AUX
easat-10606	666	21	lower	low	ADJ
easat-10606	666	22	.	.	PUNCT
easat-10606	667	1	iyanda	iyanda	PROPN
easat-10606	667	2	and	and	CCONJ
easat-10606	667	3	abegunde	abegunde	ADJ
easat-10606	668	1	[	[	X
easat-10606	668	2	82	82	NUM
easat-10606	668	3	]	]	PUNCT
easat-10606	668	4	employed	employ	VERB
easat-10606	668	5	the	the	DET
easat-10606	668	6	ensemble	ensemble	ADJ
easat-10606	668	7	approach	approach	NOUN
easat-10606	668	8	(	(	PUNCT
easat-10606	668	9	svm	svm	PROPN
easat-10606	668	10	,	,	PUNCT
easat-10606	668	11	nb	nb	INTJ
easat-10606	668	12	,	,	PUNCT
easat-10606	668	13	and	and	CCONJ
easat-10606	668	14	lr	lr	NOUN
easat-10606	668	15	)	)	PUNCT
easat-10606	668	16	to	to	PART
easat-10606	668	17	detect	detect	VERB
easat-10606	668	18	sentiment	sentiment	NOUN
easat-10606	668	19	from	from	ADP
easat-10606	668	20	yorùbá	yorùbá	NOUN
easat-10606	668	21	sentences	sentence	NOUN
easat-10606	668	22	at	at	ADP
easat-10606	668	23	the	the	DET
easat-10606	668	24	sentence	sentence	NOUN
easat-10606	668	25	level	level	NOUN
easat-10606	668	26	to	to	PART
easat-10606	668	27	extract	extract	VERB
easat-10606	668	28	users	user	NOUN
easat-10606	668	29	'	'	PART
easat-10606	668	30	opinions	opinion	NOUN
easat-10606	668	31	from	from	ADP
easat-10606	668	32	the	the	DET
easat-10606	668	33	sentences	sentence	NOUN
easat-10606	668	34	.	.	PUNCT
easat-10606	669	1	it	it	PRON
easat-10606	669	2	was	be	AUX
easat-10606	669	3	found	find	VERB
easat-10606	669	4	that	that	SCONJ
easat-10606	669	5	the	the	DET
easat-10606	669	6	application	application	NOUN
easat-10606	669	7	of	of	ADP
easat-10606	669	8	naïve	naïve	ADJ
easat-10606	669	9	bayes	bayes	PROPN
easat-10606	669	10	outperforms	outperform	VERB
easat-10606	669	11	the	the	DET
easat-10606	669	12	other	other	ADJ
easat-10606	669	13	machine	machine	NOUN
easat-10606	669	14	learning	learn	VERB
easat-10606	669	15	algorithms	algorithm	NOUN
easat-10606	669	16	for	for	ADP
easat-10606	669	17	language	language	NOUN
easat-10606	669	18	text	text	NOUN
easat-10606	669	19	sentiment	sentiment	NOUN
easat-10606	669	20	analysis	analysis	NOUN
easat-10606	669	21	,	,	PUNCT
easat-10606	669	22	with	with	ADP
easat-10606	669	23	an	an	DET
easat-10606	669	24	accuracy	accuracy	NOUN
easat-10606	669	25	of	of	ADP
easat-10606	669	26	65.23	65.23	NUM
easat-10606	669	27	%	%	NOUN
easat-10606	669	28	and	and	CCONJ
easat-10606	669	29	average	average	ADJ
easat-10606	669	30	precision	precision	NOUN
easat-10606	669	31	,	,	PUNCT
easat-10606	669	32	recall	recall	NOUN
easat-10606	669	33	,	,	PUNCT
easat-10606	669	34	and	and	CCONJ
easat-10606	669	35	f	f	X
easat-10606	669	36	-	-	PUNCT
easat-10606	669	37	score	score	NOUN
easat-10606	669	38	of	of	ADP
easat-10606	669	39	62.49	62.49	NUM
easat-10606	669	40	%	%	NOUN
easat-10606	669	41	,	,	PUNCT
easat-10606	669	42	60.60	60.60	NUM
easat-10606	669	43	%	%	NOUN
easat-10606	669	44	,	,	PUNCT
easat-10606	669	45	and	and	CCONJ
easat-10606	669	46	60.69	60.69	NUM
easat-10606	669	47	%	%	NOUN
easat-10606	669	48	,	,	PUNCT
easat-10606	669	49	respectively	respectively	ADV
easat-10606	669	50	.	.	PUNCT
easat-10606	670	1	however	however	ADV
easat-10606	670	2	,	,	PUNCT
easat-10606	670	3	the	the	DET
easat-10606	670	4	results	result	NOUN
easat-10606	670	5	of	of	ADP
easat-10606	670	6	the	the	DET
easat-10606	670	7	present	present	ADJ
easat-10606	670	8	study	study	NOUN
easat-10606	670	9	,	,	PUNCT
easat-10606	670	10	which	which	PRON
easat-10606	670	11	used	use	VERB
easat-10606	670	12	individual	individual	ADJ
easat-10606	670	13	machine	machine	NOUN
easat-10606	670	14	learning	learn	VERB
easat-10606	670	15	algorithms	algorithm	NOUN
easat-10606	670	16	and	and	CCONJ
easat-10606	670	17	a	a	DET
easat-10606	670	18	stacking	stack	VERB
easat-10606	670	19	ensemble	ensemble	ADJ
easat-10606	670	20	approach	approach	NOUN
easat-10606	670	21	(	(	PUNCT
easat-10606	670	22	lr	lr	NOUN
easat-10606	670	23	,	,	PUNCT
easat-10606	670	24	svm	svm	PROPN
easat-10606	670	25	,	,	PUNCT
easat-10606	670	26	mlp	mlp	NOUN
easat-10606	670	27	,	,	PUNCT
easat-10606	670	28	and	and	CCONJ
easat-10606	670	29	nb	nb	INTJ
easat-10606	670	30	)	)	PUNCT
easat-10606	670	31	to	to	PART
easat-10606	670	32	predict	predict	VERB
easat-10606	670	33	sentiment	sentiment	NOUN
easat-10606	670	34	from	from	ADP
easat-10606	670	35	student	student	NOUN
easat-10606	670	36	feedback	feedback	NOUN
easat-10606	670	37	at	at	ADP
easat-10606	670	38	the	the	DET
easat-10606	670	39	sentence	sentence	NOUN
easat-10606	670	40	level	level	NOUN
easat-10606	670	41	,	,	PUNCT
easat-10606	670	42	are	be	AUX
easat-10606	670	43	better	well	ADJ
easat-10606	670	44	than	than	ADP
easat-10606	670	45	those	those	PRON
easat-10606	670	46	of	of	ADP
easat-10606	670	47	other	other	ADJ
easat-10606	670	48	machine	machine	NOUN
easat-10606	670	49	learning	learn	VERB
easat-10606	670	50	algorithms	algorithm	NOUN
easat-10606	670	51	,	,	PUNCT
easat-10606	670	52	including	include	VERB
easat-10606	670	53	the	the	DET
easat-10606	670	54	stacking	stacking	NOUN
easat-10606	670	55	ensemble	ensemble	ADJ
easat-10606	670	56	with	with	ADP
easat-10606	670	57	mlp	mlp	PROPN
easat-10606	670	58	,	,	PUNCT
easat-10606	670	59	achieving	achieve	VERB
easat-10606	670	60	an	an	DET
easat-10606	670	61	accuracy	accuracy	NOUN
easat-10606	670	62	of	of	ADP
easat-10606	670	63	81.76	81.76	NUM
easat-10606	670	64	%	%	NOUN
easat-10606	670	65	and	and	CCONJ
easat-10606	670	66	an	an	DET
easat-10606	670	67	f	f	NOUN
easat-10606	670	68	-	-	PUNCT
easat-10606	670	69	score	score	NOUN
easat-10606	670	70	of	of	ADP
easat-10606	670	71	79.05	79.05	NUM
easat-10606	670	72	%	%	NOUN
easat-10606	670	73	,	,	PUNCT
easat-10606	670	74	respectively	respectively	ADV
easat-10606	670	75	.	.	PUNCT
easat-10606	671	1	sengar	sengar	NOUN
easat-10606	671	2	et	et	PROPN
easat-10606	671	3	al	al	PROPN
easat-10606	671	4	.	.	PUNCT
easat-10606	672	1	[	[	X
easat-10606	672	2	28	28	NUM
easat-10606	672	3	]	]	PUNCT
easat-10606	672	4	addressed	address	VERB
easat-10606	672	5	the	the	DET
easat-10606	672	6	needs	need	NOUN
easat-10606	672	7	of	of	ADP
easat-10606	672	8	teachers	teacher	NOUN
easat-10606	672	9	and	and	CCONJ
easat-10606	672	10	students	student	NOUN
easat-10606	672	11	to	to	PART
easat-10606	672	12	provide	provide	VERB
easat-10606	672	13	opinions	opinion	NOUN
easat-10606	672	14	to	to	PART
easat-10606	672	15	improve	improve	VERB
easat-10606	672	16	communication	communication	NOUN
easat-10606	672	17	,	,	PUNCT
easat-10606	672	18	education	education	NOUN
easat-10606	672	19	quality	quality	NOUN
easat-10606	672	20	,	,	PUNCT
easat-10606	672	21	and	and	CCONJ
easat-10606	672	22	institutional	institutional	ADJ
easat-10606	672	23	performance	performance	NOUN
easat-10606	672	24	using	use	VERB
easat-10606	672	25	two	two	NUM
easat-10606	672	26	(	(	PUNCT
easat-10606	672	27	2	2	NUM
easat-10606	672	28	)	)	PUNCT
easat-10606	672	29	machine	machine	NOUN
easat-10606	672	30	learning	learning	NOUN
easat-10606	672	31	approaches	approach	NOUN
easat-10606	672	32	,	,	PUNCT
easat-10606	672	33	namely	namely	ADV
easat-10606	672	34	the	the	DET
easat-10606	672	35	nltk	nltk	PROPN
easat-10606	672	36	toolkit	toolkit	NOUN
easat-10606	672	37	and	and	CCONJ
easat-10606	672	38	the	the	DET
easat-10606	672	39	random	random	ADJ
easat-10606	672	40	forest	forest	NOUN
easat-10606	672	41	algorithm	algorithm	NOUN
easat-10606	672	42	approach	approach	NOUN
easat-10606	672	43	.	.	PUNCT
easat-10606	673	1	the	the	DET
easat-10606	673	2	result	result	NOUN
easat-10606	673	3	of	of	ADP
easat-10606	673	4	the	the	DET
easat-10606	673	5	prediction	prediction	NOUN
easat-10606	673	6	showed	show	VERB
easat-10606	673	7	the	the	DET
easat-10606	673	8	students	student	NOUN
easat-10606	673	9	'	'	PART
easat-10606	673	10	opinion	opinion	NOUN
easat-10606	673	11	was	be	AUX
easat-10606	673	12	classified	classify	VERB
easat-10606	673	13	into	into	ADP
easat-10606	673	14	positive	positive	ADJ
easat-10606	673	15	,	,	PUNCT
easat-10606	673	16	negative	negative	ADJ
easat-10606	673	17	,	,	PUNCT
easat-10606	673	18	and	and	CCONJ
easat-10606	673	19	neutral	neutral	ADJ
easat-10606	673	20	classes	class	NOUN
easat-10606	673	21	.	.	PUNCT
easat-10606	674	1	this	this	PRON
easat-10606	674	2	is	be	AUX
easat-10606	674	3	similar	similar	ADJ
easat-10606	674	4	to	to	ADP
easat-10606	674	5	our	our	PRON
easat-10606	674	6	findings	finding	NOUN
easat-10606	674	7	in	in	ADP
easat-10606	674	8	that	that	SCONJ
easat-10606	674	9	the	the	DET
easat-10606	674	10	current	current	ADJ
easat-10606	674	11	study	study	NOUN
easat-10606	674	12	classified	classify	VERB
easat-10606	674	13	students	student	NOUN
easat-10606	674	14	'	'	PART
easat-10606	674	15	opinions	opinion	NOUN
easat-10606	674	16	into	into	ADP
easat-10606	674	17	three	three	NUM
easat-10606	674	18	(	(	PUNCT
easat-10606	674	19	3	3	NUM
easat-10606	674	20	)	)	PUNCT
easat-10606	674	21	classes	class	NOUN
easat-10606	674	22	.	.	PUNCT
easat-10606	675	1	however	however	ADV
easat-10606	675	2	,	,	PUNCT
easat-10606	675	3	the	the	DET
easat-10606	675	4	present	present	ADJ
easat-10606	675	5	study	study	NOUN
easat-10606	675	6	achieved	achieve	VERB
easat-10606	675	7	an	an	DET
easat-10606	675	8	accuracy	accuracy	NOUN
easat-10606	675	9	value	value	NOUN
easat-10606	675	10	of	of	ADP
easat-10606	675	11	81.76	81.76	NUM
easat-10606	675	12	%	%	NOUN
easat-10606	675	13	using	use	VERB
easat-10606	675	14	the	the	DET
easat-10606	675	15	mlp	mlp	NOUN
easat-10606	675	16	algorithm	algorithm	NOUN
easat-10606	675	17	in	in	ADP
easat-10606	675	18	opinion	opinion	NOUN
easat-10606	675	19	mining	mining	NOUN
easat-10606	675	20	of	of	ADP
easat-10606	675	21	student	student	NOUN
easat-10606	675	22	feedback	feedback	NOUN
easat-10606	675	23	.	.	PUNCT
easat-10606	676	1	katragadda	katragadda	PROPN
easat-10606	676	2	et	et	PROPN
easat-10606	676	3	al	al	PROPN
easat-10606	676	4	.	.	PUNCT
easat-10606	677	1	[	[	X
easat-10606	677	2	86	86	NUM
easat-10606	677	3	]	]	PUNCT
easat-10606	677	4	investigated	investigate	VERB
easat-10606	677	5	opinion	opinion	NOUN
easat-10606	677	6	mining	mining	NOUN
easat-10606	677	7	using	use	VERB
easat-10606	677	8	svm	svm	PROPN
easat-10606	677	9	,	,	PUNCT
easat-10606	677	10	nb	nb	INTJ
easat-10606	677	11	,	,	PUNCT
easat-10606	677	12	and	and	CCONJ
easat-10606	677	13	ann	ann	PROPN
easat-10606	677	14	to	to	PART
easat-10606	677	15	search	search	VERB
easat-10606	677	16	/	/	SYM
easat-10606	677	17	examine	examine	VERB
easat-10606	677	18	the	the	DET
easat-10606	677	19	emotion	emotion	NOUN
easat-10606	677	20	of	of	ADP
easat-10606	677	21	the	the	DET
easat-10606	677	22	student	student	NOUN
easat-10606	677	23	input	input	NOUN
easat-10606	677	24	,	,	PUNCT
easat-10606	677	25	bolstered	bolster	VERB
easat-10606	677	26	characterized	characterized	ADJ
easat-10606	677	27	choices	choice	NOUN
easat-10606	677	28	of	of	ADP
easat-10606	677	29	teaching	teaching	NOUN
easat-10606	677	30	and	and	CCONJ
easat-10606	677	31	learning	learning	NOUN
easat-10606	677	32	.	.	PUNCT
easat-10606	678	1	the	the	DET
easat-10606	678	2	findings	finding	NOUN
easat-10606	678	3	revealed	reveal	VERB
easat-10606	678	4	that	that	SCONJ
easat-10606	678	5	the	the	DET
easat-10606	678	6	accuracy	accuracy	NOUN
easat-10606	678	7	of	of	ADP
easat-10606	678	8	the	the	DET
easat-10606	678	9	representation	representation	NOUN
easat-10606	678	10	is	be	AUX
easat-10606	678	11	88	88	NUM
easat-10606	678	12	%	%	NOUN
easat-10606	678	13	by	by	ADP
easat-10606	678	14	using	use	VERB
easat-10606	678	15	the	the	DET
easat-10606	678	16	artificial	artificial	ADJ
easat-10606	678	17	neural	neural	ADJ
easat-10606	678	18	network	network	NOUN
easat-10606	678	19	algorithm	algorithm	NOUN
easat-10606	678	20	.	.	PUNCT
easat-10606	679	1	this	this	PRON
easat-10606	679	2	showed	show	VERB
easat-10606	679	3	that	that	SCONJ
easat-10606	679	4	the	the	DET
easat-10606	679	5	ann	ann	PROPN
easat-10606	679	6	algorithm	algorithm	PROPN
easat-10606	679	7	has	have	AUX
easat-10606	679	8	outperformed	outperform	VERB
easat-10606	679	9	all	all	DET
easat-10606	679	10	other	other	ADJ
easat-10606	679	11	machine	machine	NOUN
easat-10606	679	12	learning	learn	VERB
easat-10606	679	13	algorithms	algorithm	NOUN
easat-10606	679	14	employed	employ	VERB
easat-10606	679	15	in	in	ADP
easat-10606	679	16	the	the	DET
easat-10606	679	17	study	study	NOUN
easat-10606	679	18	.	.	PUNCT
easat-10606	680	1	this	this	PRON
easat-10606	680	2	aligns	align	VERB
easat-10606	680	3	with	with	ADP
easat-10606	680	4	the	the	DET
easat-10606	680	5	present	present	ADJ
easat-10606	680	6	study	study	NOUN
easat-10606	680	7	,	,	PUNCT
easat-10606	680	8	where	where	SCONJ
easat-10606	680	9	the	the	DET
easat-10606	680	10	ann	ann	PROPN
easat-10606	680	11	mlp	mlp	NOUN
easat-10606	680	12	technique	technique	NOUN
easat-10606	680	13	also	also	ADV
easat-10606	680	14	performed	perform	VERB
easat-10606	680	15	better	well	ADV
easat-10606	680	16	than	than	ADP
easat-10606	680	17	the	the	DET
easat-10606	680	18	other	other	ADJ
easat-10606	680	19	machine	machine	NOUN
easat-10606	680	20	learning	learn	VERB
easat-10606	680	21	algorithms	algorithm	NOUN
easat-10606	680	22	,	,	PUNCT
easat-10606	680	23	including	include	VERB
easat-10606	680	24	the	the	DET
easat-10606	680	25	stacking	stack	VERB
easat-10606	680	26	ensemble	ensemble	ADJ
easat-10606	680	27	technique	technique	NOUN
easat-10606	680	28	.	.	PUNCT
easat-10606	681	1	san	san	PROPN
easat-10606	681	2	lwin	lwin	PROPN
easat-10606	681	3	and	and	CCONJ
easat-10606	681	4	xiangqian	xiangqian	ADJ
easat-10606	682	1	[	[	X
easat-10606	682	2	92	92	NUM
easat-10606	682	3	]	]	PUNCT
easat-10606	682	4	a	a	DET
easat-10606	682	5	feedback	feedback	NOUN
easat-10606	682	6	analysis	analysis	NOUN
easat-10606	682	7	system	system	NOUN
easat-10606	682	8	using	use	VERB
easat-10606	682	9	a	a	DET
easat-10606	682	10	dataset	dataset	NOUN
easat-10606	682	11	collected	collect	VERB
easat-10606	682	12	was	be	AUX
easat-10606	682	13	partitioned	partition	VERB
easat-10606	682	14	into	into	ADP
easat-10606	682	15	two	two	NUM
easat-10606	682	16	sets	set	NOUN
easat-10606	682	17	with	with	ADP
easat-10606	682	18	ratios	ratio	NOUN
easat-10606	682	19	of	of	ADP
easat-10606	682	20	90:10	90:10	NUM
easat-10606	682	21	.	.	PUNCT
easat-10606	683	1	the	the	DET
easat-10606	683	2	researchers	researcher	NOUN
easat-10606	683	3	developed	develop	VERB
easat-10606	683	4	a	a	DET
easat-10606	683	5	model	model	NOUN
easat-10606	683	6	using	use	VERB
easat-10606	683	7	naïve	naïve	ADJ
easat-10606	683	8	bayes	bayes	NOUN
easat-10606	683	9	,	,	PUNCT
easat-10606	683	10	trained	train	VERB
easat-10606	683	11	and	and	CCONJ
easat-10606	683	12	tested	test	VERB
easat-10606	683	13	with	with	ADP
easat-10606	683	14	10	10	NUM
easat-10606	683	15	-	-	ADJ
easat-10606	683	16	fold	fold	ADJ
easat-10606	683	17	cross	cross	NOUN
easat-10606	683	18	-	-	NOUN
easat-10606	683	19	validation	validation	NOUN
easat-10606	683	20	and	and	CCONJ
easat-10606	683	21	a	a	DET
easat-10606	683	22	10	10	NUM
easat-10606	683	23	%	%	NOUN
easat-10606	683	24	test	test	NOUN
easat-10606	683	25	dataset	dataset	NOUN
easat-10606	683	26	.	.	PUNCT
easat-10606	684	1	the	the	DET
easat-10606	684	2	findings	finding	NOUN
easat-10606	684	3	revealed	reveal	VERB
easat-10606	684	4	that	that	SCONJ
easat-10606	684	5	among	among	SCONJ
easat-10606	684	6	the	the	DET
easat-10606	684	7	machine	machine	NOUN
easat-10606	684	8	learning	learn	VERB
easat-10606	684	9	methods	method	NOUN
easat-10606	684	10	applied	apply	VERB
easat-10606	684	11	,	,	PUNCT
easat-10606	684	12	naïve	naïve	ADJ
easat-10606	684	13	bayes	baye	NOUN
easat-10606	684	14	provided	provide	VERB
easat-10606	684	15	optimal	optimal	ADJ
easat-10606	684	16	precision	precision	NOUN
easat-10606	684	17	and	and	CCONJ
easat-10606	684	18	recall	recall	NOUN
easat-10606	684	19	values	value	NOUN
easat-10606	684	20	.	.	PUNCT
easat-10606	685	1	in	in	ADP
easat-10606	685	2	contrast	contrast	NOUN
easat-10606	685	3	,	,	PUNCT
easat-10606	685	4	the	the	DET
easat-10606	685	5	present	present	ADJ
easat-10606	685	6	study	study	NOUN
easat-10606	685	7	employed	employ	VERB
easat-10606	685	8	four	four	NUM
easat-10606	685	9	individual	individual	ADJ
easat-10606	685	10	machine	machine	NOUN
easat-10606	685	11	learning	learn	VERB
easat-10606	685	12	algorithms	algorithm	NOUN
easat-10606	685	13	and	and	CCONJ
easat-10606	685	14	a	a	DET
easat-10606	685	15	stacked	stack	VERB
easat-10606	685	16	ensemble	ensemble	ADJ
easat-10606	685	17	method	method	NOUN
easat-10606	685	18	.	.	PUNCT
easat-10606	686	1	the	the	DET
easat-10606	686	2	results	result	NOUN
easat-10606	686	3	,	,	PUNCT
easat-10606	686	4	obtained	obtain	VERB
easat-10606	686	5	through	through	ADP
easat-10606	686	6	cross	cross	NOUN
easat-10606	686	7	-	-	NOUN
easat-10606	686	8	validation	validation	ADJ
easat-10606	686	9	,	,	PUNCT
easat-10606	686	10	showed	show	VERB
easat-10606	686	11	that	that	SCONJ
easat-10606	686	12	the	the	DET
easat-10606	686	13	model	model	NOUN
easat-10606	686	14	trained	train	VERB
easat-10606	686	15	on	on	ADP
easat-10606	686	16	the	the	DET
easat-10606	686	17	split	split	NOUN
easat-10606	686	18	dataset	dataset	NOUN
easat-10606	686	19	achieved	achieve	VERB
easat-10606	686	20	superior	superior	ADJ
easat-10606	686	21	performance	performance	NOUN
easat-10606	686	22	,	,	PUNCT
easat-10606	686	23	with	with	ADP
easat-10606	686	24	the	the	DET
easat-10606	686	25	multilayer	multilayer	ADJ
easat-10606	686	26	perceptron	perceptron	PROPN
easat-10606	686	27	(	(	PUNCT
easat-10606	686	28	mlp	mlp	NOUN
easat-10606	686	29	)	)	PUNCT
easat-10606	686	30	reaching	reach	VERB
easat-10606	686	31	an	an	DET
easat-10606	686	32	accuracy	accuracy	NOUN
easat-10606	686	33	of	of	ADP
easat-10606	686	34	81.76	81.76	NUM
easat-10606	686	35	%	%	NOUN
easat-10606	686	36	,	,	PUNCT
easat-10606	686	37	outperforming	outperform	VERB
easat-10606	686	38	other	other	ADJ
easat-10606	686	39	methods	method	NOUN
easat-10606	686	40	in	in	ADP
easat-10606	686	41	san	san	PROPN
easat-10606	686	42	lwin	lwin	PROPN
easat-10606	686	43	and	and	CCONJ
easat-10606	686	44	xiangqian	xiangqian	ADJ
easat-10606	687	1	[	[	X
easat-10606	687	2	92	92	NUM
easat-10606	687	3	]	]	PUNCT
easat-10606	687	4	which	which	PRON
easat-10606	687	5	shows	show	VERB
easat-10606	687	6	that	that	SCONJ
easat-10606	687	7	1175	1175	NUM
easat-10606	687	8	edelweiss	edelweiss	PROPN
easat-10606	687	9	applied	apply	VERB
easat-10606	687	10	science	science	NOUN
easat-10606	687	11	and	and	CCONJ
easat-10606	687	12	technology	technology	NOUN
easat-10606	687	13	issn	issn	PROPN
easat-10606	687	14	:	:	PUNCT
easat-10606	687	15	2576	2576	NUM
easat-10606	687	16	-	-	SYM
easat-10606	687	17	8484	8484	NUM
easat-10606	687	18	vol	vol	NOUN
easat-10606	687	19	.	.	PROPN
easat-10606	688	1	9	9	NUM
easat-10606	688	2	,	,	PUNCT
easat-10606	688	3	no	no	INTJ
easat-10606	688	4	.	.	NOUN
easat-10606	688	5	10	10	NUM
easat-10606	688	6	:	:	SYM
easat-10606	688	7	1149	1149	NUM
easat-10606	688	8	-	-	SYM
easat-10606	688	9	1180	1180	NUM
easat-10606	688	10	,	,	PUNCT
easat-10606	688	11	2025	2025	NUM
easat-10606	688	12	doi	doi	NOUN
easat-10606	688	13	:	:	PUNCT
easat-10606	688	14	10.55214/2576	10.55214/2576	NUM
easat-10606	688	15	-	-	SYM
easat-10606	688	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	688	17	©	©	ADP
easat-10606	688	18	2025	2025	NUM
easat-10606	688	19	by	by	ADP
easat-10606	688	20	the	the	DET
easat-10606	688	21	authors	author	NOUN
easat-10606	688	22	;	;	PUNCT
easat-10606	688	23	licensee	licensee	PROPN
easat-10606	688	24	learning	learning	NOUN
easat-10606	688	25	gate	gate	NOUN
easat-10606	688	26	when	when	SCONJ
easat-10606	688	27	using	use	VERB
easat-10606	688	28	knn	knn	PROPN
easat-10606	688	29	with	with	ADP
easat-10606	688	30	the	the	DET
easat-10606	688	31	ensemble	ensemble	ADJ
easat-10606	688	32	stacking	stacking	NOUN
easat-10606	688	33	4a	4a	NOUN
easat-10606	688	34	technique	technique	NOUN
easat-10606	688	35	,	,	PUNCT
easat-10606	688	36	you	you	PRON
easat-10606	688	37	achieve	achieve	VERB
easat-10606	688	38	better	well	ADJ
easat-10606	688	39	results	result	NOUN
easat-10606	688	40	,	,	PUNCT
easat-10606	688	41	with	with	ADP
easat-10606	688	42	an	an	DET
easat-10606	688	43	accuracy	accuracy	NOUN
easat-10606	688	44	of	of	ADP
easat-10606	688	45	98.44	98.44	NUM
easat-10606	688	46	%	%	NOUN
easat-10606	688	47	.	.	PUNCT
easat-10606	689	1	osmanoğlu	osmanoğlu	NOUN
easat-10606	689	2	et	et	PROPN
easat-10606	689	3	al	al	PROPN
easat-10606	689	4	.	.	PUNCT
easat-10606	690	1	[	[	X
easat-10606	690	2	93	93	NUM
easat-10606	690	3	]	]	PUNCT
easat-10606	690	4	examined	examine	VERB
easat-10606	690	5	student	student	NOUN
easat-10606	690	6	feedback	feedback	NOUN
easat-10606	690	7	gathered	gather	VERB
easat-10606	690	8	from	from	ADP
easat-10606	690	9	a	a	DET
easat-10606	690	10	university	university	NOUN
easat-10606	690	11	using	use	VERB
easat-10606	690	12	six	six	NUM
easat-10606	690	13	(	(	PUNCT
easat-10606	690	14	6	6	NUM
easat-10606	690	15	)	)	PUNCT
easat-10606	690	16	machine	machine	NOUN
easat-10606	690	17	learning	learn	VERB
easat-10606	690	18	techniques	technique	NOUN
easat-10606	690	19	:	:	PUNCT
easat-10606	690	20	multinomial	multinomial	ADJ
easat-10606	690	21	logistic	logistic	ADJ
easat-10606	690	22	regression	regression	NOUN
easat-10606	690	23	,	,	PUNCT
easat-10606	690	24	decision	decision	NOUN
easat-10606	690	25	tree	tree	NOUN
easat-10606	690	26	,	,	PUNCT
easat-10606	690	27	multi	multi	ADJ
easat-10606	690	28	-	-	ADJ
easat-10606	690	29	layer	layer	ADJ
easat-10606	690	30	perceptron	perceptron	PROPN
easat-10606	690	31	,	,	PUNCT
easat-10606	690	32	xgboost	xgboost	ADV
easat-10606	690	33	,	,	PUNCT
easat-10606	690	34	support	support	VERB
easat-10606	690	35	vector	vector	NOUN
easat-10606	690	36	classifier	classifier	NOUN
easat-10606	690	37	,	,	PUNCT
easat-10606	690	38	gaussian	gaussian	ADJ
easat-10606	690	39	naive	naive	ADJ
easat-10606	690	40	bayes	bayes	NOUN
easat-10606	690	41	,	,	PUNCT
easat-10606	690	42	and	and	CCONJ
easat-10606	690	43	knn	knn	VERB
easat-10606	690	44	to	to	PART
easat-10606	690	45	classify	classify	VERB
easat-10606	690	46	the	the	DET
easat-10606	690	47	materials	material	NOUN
easat-10606	690	48	into	into	ADP
easat-10606	690	49	positive	positive	ADJ
easat-10606	690	50	,	,	PUNCT
easat-10606	690	51	negative	negative	ADJ
easat-10606	690	52	,	,	PUNCT
easat-10606	690	53	or	or	CCONJ
easat-10606	690	54	neutral	neutral	ADJ
easat-10606	690	55	sentiments	sentiment	NOUN
easat-10606	690	56	.	.	PUNCT
easat-10606	691	1	the	the	DET
easat-10606	691	2	results	result	NOUN
easat-10606	691	3	showed	show	VERB
easat-10606	691	4	that	that	SCONJ
easat-10606	691	5	logistic	logistic	ADJ
easat-10606	691	6	regression	regression	NOUN
easat-10606	691	7	performed	perform	VERB
easat-10606	691	8	better	well	ADV
easat-10606	691	9	than	than	ADP
easat-10606	691	10	the	the	DET
easat-10606	691	11	other	other	ADJ
easat-10606	691	12	five	five	NUM
easat-10606	691	13	classifiers	classifier	NOUN
easat-10606	691	14	.	.	PUNCT
easat-10606	692	1	this	this	PRON
easat-10606	692	2	contrasts	contrast	VERB
easat-10606	692	3	with	with	ADP
easat-10606	692	4	the	the	DET
easat-10606	692	5	present	present	ADJ
easat-10606	692	6	study	study	NOUN
easat-10606	692	7	,	,	PUNCT
easat-10606	692	8	where	where	SCONJ
easat-10606	692	9	mlp	mlp	PROPN
easat-10606	692	10	outperforms	outperform	VERB
easat-10606	692	11	all	all	DET
easat-10606	692	12	the	the	DET
easat-10606	692	13	machine	machine	NOUN
easat-10606	692	14	learning	learn	VERB
easat-10606	692	15	algorithms	algorithm	NOUN
easat-10606	692	16	and	and	CCONJ
easat-10606	692	17	the	the	DET
easat-10606	692	18	stacking	stack	VERB
easat-10606	692	19	ensemble	ensemble	ADJ
easat-10606	692	20	method	method	NOUN
easat-10606	692	21	used	use	VERB
easat-10606	692	22	in	in	ADP
easat-10606	692	23	the	the	DET
easat-10606	692	24	opinion	opinion	NOUN
easat-10606	692	25	mining	mining	NOUN
easat-10606	692	26	model	model	NOUN
easat-10606	692	27	for	for	ADP
easat-10606	692	28	predicting	predict	VERB
easat-10606	692	29	student	student	NOUN
easat-10606	692	30	feedback	feedback	NOUN
easat-10606	692	31	in	in	ADP
easat-10606	692	32	tertiary	tertiary	ADJ
easat-10606	692	33	institutions	institution	NOUN
easat-10606	692	34	.	.	PUNCT
easat-10606	693	1	ahamad	ahamad	PROPN
easat-10606	693	2	and	and	CCONJ
easat-10606	693	3	ahmad	ahmad	ADJ
easat-10606	693	4	[	[	X
easat-10606	693	5	40	40	NUM
easat-10606	693	6	]	]	PUNCT
easat-10606	693	7	employed	employ	VERB
easat-10606	693	8	individual	individual	ADJ
easat-10606	693	9	machine	machine	NOUN
easat-10606	693	10	learning	learn	VERB
easat-10606	693	11	algorithms	algorithm	NOUN
easat-10606	693	12	and	and	CCONJ
easat-10606	693	13	ensemble	ensemble	ADJ
easat-10606	693	14	methods	method	NOUN
easat-10606	693	15	,	,	PUNCT
easat-10606	693	16	particularly	particularly	ADV
easat-10606	693	17	the	the	DET
easat-10606	693	18	stacking	stacking	NOUN
easat-10606	693	19	ensemble	ensemble	ADJ
easat-10606	693	20	and	and	CCONJ
easat-10606	693	21	voting	voting	NOUN
easat-10606	693	22	ensemble	ensemble	ADJ
easat-10606	693	23	,	,	PUNCT
easat-10606	693	24	to	to	PART
easat-10606	693	25	predict	predict	VERB
easat-10606	693	26	feedback	feedback	NOUN
easat-10606	693	27	from	from	ADP
easat-10606	693	28	students	student	NOUN
easat-10606	693	29	'	'	PART
easat-10606	693	30	assessments	assessment	NOUN
easat-10606	693	31	using	use	VERB
easat-10606	693	32	the	the	DET
easat-10606	693	33	weka	weka	PROPN
easat-10606	693	34	tool	tool	PROPN
easat-10606	693	35	.	.	PUNCT
easat-10606	694	1	the	the	DET
easat-10606	694	2	results	result	NOUN
easat-10606	694	3	of	of	ADP
easat-10606	694	4	the	the	DET
easat-10606	694	5	study	study	NOUN
easat-10606	694	6	indicated	indicate	VERB
easat-10606	694	7	that	that	SCONJ
easat-10606	694	8	the	the	DET
easat-10606	694	9	individual	individual	ADJ
easat-10606	694	10	machine	machine	NOUN
easat-10606	694	11	learning	learning	NOUN
easat-10606	694	12	algorithm	algorithm	NOUN
easat-10606	694	13	,	,	PUNCT
easat-10606	694	14	notably	notably	ADV
easat-10606	694	15	the	the	DET
easat-10606	694	16	multilayer	multilayer	ADJ
easat-10606	694	17	perceptron	perceptron	PROPN
easat-10606	694	18	(	(	PUNCT
easat-10606	694	19	mlp	mlp	PROPN
easat-10606	694	20	)	)	PUNCT
easat-10606	694	21	,	,	PUNCT
easat-10606	694	22	achieved	achieve	VERB
easat-10606	694	23	the	the	DET
easat-10606	694	24	highest	high	ADJ
easat-10606	694	25	accuracy	accuracy	NOUN
easat-10606	694	26	of	of	ADP
easat-10606	694	27	92.30	92.30	NUM
easat-10606	694	28	%	%	NOUN
easat-10606	694	29	compared	compare	VERB
easat-10606	694	30	to	to	ADP
easat-10606	694	31	other	other	ADJ
easat-10606	694	32	learning	learn	VERB
easat-10606	694	33	algorithms	algorithm	NOUN
easat-10606	694	34	.	.	PUNCT
easat-10606	695	1	additionally	additionally	ADV
easat-10606	695	2	,	,	PUNCT
easat-10606	695	3	when	when	SCONJ
easat-10606	695	4	these	these	DET
easat-10606	695	5	individual	individual	ADJ
easat-10606	695	6	algorithms	algorithm	NOUN
easat-10606	695	7	were	be	AUX
easat-10606	695	8	combined	combine	VERB
easat-10606	695	9	,	,	PUNCT
easat-10606	695	10	forming	form	VERB
easat-10606	695	11	a	a	DET
easat-10606	695	12	stacking	stacking	NOUN
easat-10606	695	13	ensemble	ensemble	ADJ
easat-10606	695	14	(	(	PUNCT
easat-10606	695	15	fuzzy	fuzzy	ADJ
easat-10606	695	16	,	,	PUNCT
easat-10606	695	17	neural	neural	ADJ
easat-10606	695	18	network	network	NOUN
easat-10606	695	19	,	,	PUNCT
easat-10606	695	20	naïve	naïve	ADJ
easat-10606	695	21	bayes	bayes	NOUN
easat-10606	695	22	,	,	PUNCT
easat-10606	695	23	random	random	ADJ
easat-10606	695	24	forest	forest	NOUN
easat-10606	695	25	,	,	PUNCT
easat-10606	695	26	mlp	mlp	PROPN
easat-10606	695	27	)	)	PUNCT
easat-10606	695	28	,	,	PUNCT
easat-10606	695	29	an	an	DET
easat-10606	695	30	accuracy	accuracy	NOUN
easat-10606	695	31	of	of	ADP
easat-10606	695	32	93.79	93.79	NUM
easat-10606	695	33	%	%	NOUN
easat-10606	695	34	was	be	AUX
easat-10606	695	35	achieved	achieve	VERB
easat-10606	695	36	.	.	PUNCT
easat-10606	696	1	the	the	DET
easat-10606	696	2	initial	initial	ADJ
easat-10606	696	3	results	result	NOUN
easat-10606	696	4	obtained	obtain	VERB
easat-10606	696	5	by	by	ADP
easat-10606	696	6	the	the	DET
easat-10606	696	7	author	author	NOUN
easat-10606	696	8	align	align	VERB
easat-10606	696	9	with	with	ADP
easat-10606	696	10	the	the	DET
easat-10606	696	11	results	result	NOUN
easat-10606	696	12	obtained	obtain	VERB
easat-10606	696	13	in	in	ADP
easat-10606	696	14	the	the	DET
easat-10606	696	15	current	current	ADJ
easat-10606	696	16	study	study	NOUN
easat-10606	696	17	,	,	PUNCT
easat-10606	696	18	where	where	SCONJ
easat-10606	696	19	it	it	PRON
easat-10606	696	20	is	be	AUX
easat-10606	696	21	evident	evident	ADJ
easat-10606	696	22	that	that	SCONJ
easat-10606	696	23	mlp	mlp	PROPN
easat-10606	696	24	achieved	achieve	VERB
easat-10606	696	25	the	the	DET
easat-10606	696	26	highest	high	ADJ
easat-10606	696	27	accuracy	accuracy	NOUN
easat-10606	696	28	of	of	ADP
easat-10606	696	29	81.76	81.76	NUM
easat-10606	696	30	%	%	NOUN
easat-10606	696	31	.	.	PUNCT
easat-10606	697	1	conversely	conversely	ADV
easat-10606	697	2	,	,	PUNCT
easat-10606	697	3	when	when	SCONJ
easat-10606	697	4	the	the	DET
easat-10606	697	5	stacking	stack	VERB
easat-10606	697	6	ensemble	ensemble	ADJ
easat-10606	697	7	method	method	NOUN
easat-10606	697	8	was	be	AUX
easat-10606	697	9	applied	apply	VERB
easat-10606	697	10	(	(	PUNCT
easat-10606	697	11	lr	lr	INTJ
easat-10606	697	12	,	,	PUNCT
easat-10606	697	13	svm	svm	PROPN
easat-10606	697	14	,	,	PUNCT
easat-10606	697	15	mlp	mlp	NOUN
easat-10606	697	16	,	,	PUNCT
easat-10606	697	17	and	and	CCONJ
easat-10606	697	18	nb	nb	PROPN
easat-10606	697	19	)	)	PUNCT
easat-10606	697	20	,	,	PUNCT
easat-10606	697	21	the	the	DET
easat-10606	697	22	results	result	NOUN
easat-10606	697	23	differed	differ	VERB
easat-10606	697	24	from	from	ADP
easat-10606	697	25	the	the	DET
easat-10606	697	26	previous	previous	ADJ
easat-10606	697	27	work	work	NOUN
easat-10606	697	28	of	of	ADP
easat-10606	697	29	suppala	suppala	PROPN
easat-10606	697	30	and	and	CCONJ
easat-10606	697	31	rao	rao	NOUN
easat-10606	698	1	[	[	X
easat-10606	698	2	69	69	NUM
easat-10606	698	3	]	]	PUNCT
easat-10606	698	4	in	in	ADP
easat-10606	698	5	that	that	SCONJ
easat-10606	698	6	the	the	DET
easat-10606	698	7	current	current	ADJ
easat-10606	698	8	study	study	NOUN
easat-10606	698	9	achieved	achieve	VERB
easat-10606	698	10	an	an	DET
easat-10606	698	11	accuracy	accuracy	NOUN
easat-10606	698	12	of	of	ADP
easat-10606	698	13	79.05	79.05	NUM
easat-10606	698	14	%	%	NOUN
easat-10606	698	15	.	.	PUNCT
easat-10606	699	1	gebashe	gebashe	PROPN
easat-10606	699	2	et	et	PROPN
easat-10606	699	3	al	al	PROPN
easat-10606	699	4	.	.	PUNCT
easat-10606	700	1	[	[	X
easat-10606	700	2	91	91	NUM
easat-10606	700	3	]	]	PUNCT
easat-10606	700	4	analyzed	analyze	VERB
easat-10606	700	5	the	the	DET
easat-10606	700	6	qualitative	qualitative	ADJ
easat-10606	700	7	input	input	NOUN
easat-10606	700	8	and	and	CCONJ
easat-10606	700	9	turned	turn	VERB
easat-10606	700	10	the	the	DET
easat-10606	700	11	text	text	NOUN
easat-10606	700	12	feedback	feedback	NOUN
easat-10606	700	13	into	into	ADP
easat-10606	700	14	polarity	polarity	NOUN
easat-10606	700	15	scores	score	NOUN
easat-10606	700	16	using	use	VERB
easat-10606	700	17	sentiment	sentiment	NOUN
easat-10606	700	18	analysis	analysis	NOUN
easat-10606	700	19	.	.	PUNCT
easat-10606	701	1	ten	ten	NUM
easat-10606	701	2	different	different	ADJ
easat-10606	701	3	machine	machine	NOUN
easat-10606	701	4	learning	learn	VERB
easat-10606	701	5	algorithms	algorithm	NOUN
easat-10606	701	6	were	be	AUX
easat-10606	701	7	used	use	VERB
easat-10606	701	8	to	to	PART
easat-10606	701	9	predict	predict	VERB
easat-10606	701	10	professor	professor	NOUN
easat-10606	701	11	effectiveness	effectiveness	NOUN
easat-10606	701	12	based	base	VERB
easat-10606	701	13	on	on	ADP
easat-10606	701	14	the	the	DET
easat-10606	701	15	polarity	polarity	NOUN
easat-10606	701	16	ratings	rating	NOUN
easat-10606	701	17	of	of	ADP
easat-10606	701	18	the	the	DET
easat-10606	701	19	qualitative	qualitative	ADJ
easat-10606	701	20	and	and	CCONJ
easat-10606	701	21	quantitative	quantitative	ADJ
easat-10606	701	22	evaluations	evaluation	NOUN
easat-10606	701	23	.	.	PUNCT
easat-10606	702	1	the	the	DET
easat-10606	702	2	random	random	ADJ
easat-10606	702	3	forest	forest	NOUN
easat-10606	702	4	model	model	NOUN
easat-10606	702	5	outperformed	outperform	VERB
easat-10606	702	6	all	all	DET
easat-10606	702	7	others	other	NOUN
easat-10606	702	8	with	with	ADP
easat-10606	702	9	high	high	ADJ
easat-10606	702	10	accuracy	accuracy	NOUN
easat-10606	702	11	,	,	PUNCT
easat-10606	702	12	precision	precision	NOUN
easat-10606	702	13	,	,	PUNCT
easat-10606	702	14	and	and	CCONJ
easat-10606	702	15	area	area	NOUN
easat-10606	702	16	under	under	ADP
easat-10606	702	17	the	the	DET
easat-10606	702	18	curve	curve	NOUN
easat-10606	702	19	,	,	PUNCT
easat-10606	702	20	coming	come	VERB
easat-10606	702	21	in	in	ADV
easat-10606	702	22	at	at	ADP
easat-10606	702	23	98.87	98.87	NUM
easat-10606	702	24	%	%	NOUN
easat-10606	702	25	,	,	PUNCT
easat-10606	702	26	97.71	97.71	NUM
easat-10606	702	27	%	%	NOUN
easat-10606	702	28	,	,	PUNCT
easat-10606	702	29	and	and	CCONJ
easat-10606	702	30	97.32	97.32	NUM
easat-10606	702	31	%	%	NOUN
easat-10606	702	32	,	,	PUNCT
easat-10606	702	33	respectively	respectively	ADV
easat-10606	702	34	.	.	PUNCT
easat-10606	703	1	this	this	PRON
easat-10606	703	2	contrasts	contrast	VERB
easat-10606	703	3	with	with	ADP
easat-10606	703	4	the	the	DET
easat-10606	703	5	result	result	NOUN
easat-10606	703	6	achieved	achieve	VERB
easat-10606	703	7	in	in	ADP
easat-10606	703	8	the	the	DET
easat-10606	703	9	present	present	ADJ
easat-10606	703	10	study	study	NOUN
easat-10606	703	11	,	,	PUNCT
easat-10606	703	12	where	where	SCONJ
easat-10606	703	13	mlp	mlp	PROPN
easat-10606	703	14	achieved	achieve	VERB
easat-10606	703	15	the	the	DET
easat-10606	703	16	highest	high	ADJ
easat-10606	703	17	accuracy	accuracy	NOUN
easat-10606	703	18	performance	performance	NOUN
easat-10606	703	19	compared	compare	VERB
easat-10606	703	20	to	to	ADP
easat-10606	703	21	other	other	ADJ
easat-10606	703	22	ml	ml	NOUN
easat-10606	703	23	algorithms	algorithm	NOUN
easat-10606	703	24	,	,	PUNCT
easat-10606	703	25	including	include	VERB
easat-10606	703	26	the	the	DET
easat-10606	703	27	stacked	stack	VERB
easat-10606	703	28	ensemble	ensemble	ADJ
easat-10606	703	29	method	method	NOUN
easat-10606	703	30	.	.	PUNCT
easat-10606	704	1	gottipati	gottipati	NOUN
easat-10606	704	2	et	et	PROPN
easat-10606	704	3	al	al	PROPN
easat-10606	704	4	.	.	PUNCT
easat-10606	705	1	[	[	X
easat-10606	705	2	10	10	NUM
easat-10606	705	3	]	]	PUNCT
easat-10606	705	4	predicted	predict	VERB
easat-10606	705	5	the	the	DET
easat-10606	705	6	student	student	NOUN
easat-10606	705	7	opinion	opinion	NOUN
easat-10606	705	8	from	from	ADP
easat-10606	705	9	the	the	DET
easat-10606	705	10	student	student	NOUN
easat-10606	705	11	feedback	feedback	NOUN
easat-10606	705	12	mining	mining	NOUN
easat-10606	705	13	systems	system	NOUN
easat-10606	705	14	(	(	PUNCT
easat-10606	705	15	sfms	sfms	NOUN
easat-10606	705	16	)	)	PUNCT
easat-10606	705	17	developed	develop	VERB
easat-10606	705	18	using	use	VERB
easat-10606	705	19	a	a	DET
easat-10606	705	20	logistic	logistic	ADJ
easat-10606	705	21	regression	regression	NOUN
easat-10606	705	22	approach	approach	NOUN
easat-10606	705	23	,	,	PUNCT
easat-10606	705	24	where	where	SCONJ
easat-10606	705	25	the	the	DET
easat-10606	705	26	sentiment	sentiment	NOUN
easat-10606	705	27	extraction	extraction	NOUN
easat-10606	705	28	stage	stage	NOUN
easat-10606	705	29	was	be	AUX
easat-10606	705	30	identified	identify	VERB
easat-10606	705	31	to	to	PART
easat-10606	705	32	achieve	achieve	VERB
easat-10606	705	33	a	a	DET
easat-10606	705	34	precision	precision	NOUN
easat-10606	705	35	of	of	ADP
easat-10606	705	36	80.1	80.1	NUM
easat-10606	705	37	%	%	NOUN
easat-10606	705	38	,	,	PUNCT
easat-10606	705	39	recall	recall	NOUN
easat-10606	705	40	of	of	ADP
easat-10606	705	41	86.4	86.4	NUM
easat-10606	705	42	%	%	NOUN
easat-10606	705	43	,	,	PUNCT
easat-10606	705	44	and	and	CCONJ
easat-10606	705	45	f	f	X
easat-10606	705	46	-	-	PUNCT
easat-10606	705	47	score	score	NOUN
easat-10606	705	48	of	of	ADP
easat-10606	705	49	83.5	83.5	NUM
easat-10606	705	50	%	%	NOUN
easat-10606	705	51	,	,	PUNCT
easat-10606	705	52	which	which	PRON
easat-10606	705	53	is	be	AUX
easat-10606	705	54	significantly	significantly	ADV
easat-10606	705	55	higher	high	ADJ
easat-10606	705	56	than	than	ADP
easat-10606	705	57	the	the	DET
easat-10606	705	58	imdb	imdb	NOUN
easat-10606	705	59	-	-	PUNCT
easat-10606	705	60	trained	train	VERB
easat-10606	705	61	classifier	classifier	NOUN
easat-10606	705	62	.	.	PUNCT
easat-10606	706	1	consequently	consequently	ADV
easat-10606	706	2	,	,	PUNCT
easat-10606	706	3	the	the	DET
easat-10606	706	4	results	result	NOUN
easat-10606	706	5	obtained	obtain	VERB
easat-10606	706	6	from	from	ADP
easat-10606	706	7	the	the	DET
easat-10606	706	8	current	current	ADJ
easat-10606	706	9	study	study	NOUN
easat-10606	706	10	showed	show	VERB
easat-10606	706	11	lower	low	ADJ
easat-10606	706	12	performance	performance	NOUN
easat-10606	706	13	using	use	VERB
easat-10606	706	14	logistic	logistic	ADJ
easat-10606	706	15	regression	regression	NOUN
easat-10606	706	16	,	,	PUNCT
easat-10606	706	17	naive	naive	ADJ
easat-10606	706	18	bayes	bayes	NOUN
easat-10606	706	19	,	,	PUNCT
easat-10606	706	20	and	and	CCONJ
easat-10606	706	21	svm	svm	ADJ
easat-10606	706	22	,	,	PUNCT
easat-10606	706	23	but	but	CCONJ
easat-10606	706	24	better	well	ADJ
easat-10606	706	25	results	result	NOUN
easat-10606	706	26	in	in	ADP
easat-10606	706	27	terms	term	NOUN
easat-10606	706	28	of	of	ADP
easat-10606	706	29	accuracy	accuracy	NOUN
easat-10606	706	30	,	,	PUNCT
easat-10606	706	31	precision	precision	NOUN
easat-10606	706	32	,	,	PUNCT
easat-10606	706	33	recall	recall	NOUN
easat-10606	706	34	,	,	PUNCT
easat-10606	706	35	and	and	CCONJ
easat-10606	706	36	f1	f1	NOUN
easat-10606	706	37	-	-	PUNCT
easat-10606	706	38	score	score	NOUN
easat-10606	706	39	using	use	VERB
easat-10606	706	40	mlp	mlp	PROPN
easat-10606	706	41	.	.	PROPN
easat-10606	707	1	5	5	NUM
easat-10606	707	2	.	.	X
easat-10606	707	3	conclusion	conclusion	VERB
easat-10606	707	4	the	the	DET
easat-10606	707	5	primary	primary	ADJ
easat-10606	707	6	goal	goal	NOUN
easat-10606	707	7	of	of	ADP
easat-10606	707	8	this	this	DET
easat-10606	707	9	study	study	NOUN
easat-10606	707	10	was	be	AUX
easat-10606	707	11	to	to	PART
easat-10606	707	12	enhance	enhance	VERB
easat-10606	707	13	the	the	DET
easat-10606	707	14	functionality	functionality	NOUN
easat-10606	707	15	of	of	ADP
easat-10606	707	16	the	the	DET
easat-10606	707	17	students	student	NOUN
easat-10606	707	18	'	'	PART
easat-10606	707	19	feedback	feedback	NOUN
easat-10606	707	20	opinion	opinion	NOUN
easat-10606	707	21	mining	mining	NOUN
easat-10606	707	22	system	system	NOUN
easat-10606	707	23	by	by	ADP
easat-10606	707	24	implementing	implement	VERB
easat-10606	707	25	prediction	prediction	NOUN
easat-10606	707	26	methods	method	NOUN
easat-10606	707	27	using	use	VERB
easat-10606	707	28	meta	meta	ADJ
easat-10606	707	29	and	and	CCONJ
easat-10606	707	30	base	base	NOUN
easat-10606	707	31	classifiers	classifier	NOUN
easat-10606	707	32	.	.	PUNCT
easat-10606	708	1	to	to	PART
easat-10606	708	2	forecast	forecast	VERB
easat-10606	708	3	university	university	NOUN
easat-10606	708	4	students	student	NOUN
easat-10606	708	5	'	'	PART
easat-10606	708	6	perspectives	perspective	NOUN
easat-10606	708	7	,	,	PUNCT
easat-10606	708	8	the	the	DET
easat-10606	708	9	study	study	NOUN
easat-10606	708	10	proposed	propose	VERB
easat-10606	708	11	a	a	DET
easat-10606	708	12	model	model	NOUN
easat-10606	708	13	and	and	CCONJ
easat-10606	708	14	four	four	NUM
easat-10606	708	15	combined	combine	VERB
easat-10606	708	16	models	model	NOUN
easat-10606	708	17	based	base	VERB
easat-10606	708	18	on	on	ADP
easat-10606	708	19	stacking	stack	VERB
easat-10606	708	20	.	.	PUNCT
easat-10606	709	1	a	a	DET
easat-10606	709	2	new	new	ADJ
easat-10606	709	3	approach	approach	NOUN
easat-10606	709	4	was	be	AUX
easat-10606	709	5	undertaken	undertake	VERB
easat-10606	709	6	to	to	PART
easat-10606	709	7	analyze	analyze	VERB
easat-10606	709	8	the	the	DET
easat-10606	709	9	feedback	feedback	NOUN
easat-10606	709	10	dataset	dataset	NOUN
easat-10606	709	11	using	use	VERB
easat-10606	709	12	several	several	ADJ
easat-10606	709	13	fundamental	fundamental	ADJ
easat-10606	709	14	machine	machine	NOUN
easat-10606	709	15	learning	learning	NOUN
easat-10606	709	16	methods	method	NOUN
easat-10606	709	17	and	and	CCONJ
easat-10606	709	18	the	the	DET
easat-10606	709	19	stacking	stacking	NOUN
easat-10606	709	20	ensemble	ensemble	ADJ
easat-10606	709	21	,	,	PUNCT
easat-10606	709	22	a	a	DET
easat-10606	709	23	more	more	ADV
easat-10606	709	24	powerful	powerful	ADJ
easat-10606	709	25	ensemble	ensemble	ADJ
easat-10606	709	26	classifier	classifier	NOUN
easat-10606	709	27	.	.	PUNCT
easat-10606	710	1	additionally	additionally	ADV
easat-10606	710	2	,	,	PUNCT
easat-10606	710	3	the	the	DET
easat-10606	710	4	main	main	ADJ
easat-10606	710	5	aim	aim	NOUN
easat-10606	710	6	was	be	AUX
easat-10606	710	7	to	to	PART
easat-10606	710	8	compare	compare	VERB
easat-10606	710	9	meta	meta	ADJ
easat-10606	710	10	and	and	CCONJ
easat-10606	710	11	base	base	NOUN
easat-10606	710	12	classifiers	classifier	NOUN
easat-10606	710	13	to	to	PART
easat-10606	710	14	identify	identify	VERB
easat-10606	710	15	which	which	DET
easat-10606	710	16	classifiers	classifier	NOUN
easat-10606	710	17	are	be	AUX
easat-10606	710	18	most	most	ADV
easat-10606	710	19	effective	effective	ADJ
easat-10606	710	20	at	at	ADP
easat-10606	710	21	making	make	VERB
easat-10606	710	22	predictions	prediction	NOUN
easat-10606	710	23	using	use	VERB
easat-10606	710	24	the	the	DET
easat-10606	710	25	student	student	NOUN
easat-10606	710	26	feedback	feedback	NOUN
easat-10606	710	27	educational	educational	ADJ
easat-10606	710	28	dataset	dataset	NOUN
easat-10606	710	29	.	.	PUNCT
easat-10606	711	1	all	all	DET
easat-10606	711	2	classifiers	classifier	NOUN
easat-10606	711	3	employed	employ	VERB
easat-10606	711	4	in	in	ADP
easat-10606	711	5	this	this	DET
easat-10606	711	6	experiment	experiment	NOUN
easat-10606	711	7	or	or	CCONJ
easat-10606	711	8	investigation	investigation	NOUN
easat-10606	711	9	were	be	AUX
easat-10606	711	10	able	able	ADJ
easat-10606	711	11	to	to	PART
easat-10606	711	12	reasonably	reasonably	ADV
easat-10606	711	13	predict	predict	VERB
easat-10606	711	14	students	student	NOUN
easat-10606	711	15	'	'	PART
easat-10606	711	16	outcomes	outcome	NOUN
easat-10606	711	17	with	with	ADP
easat-10606	711	18	an	an	DET
easat-10606	711	19	accuracy	accuracy	NOUN
easat-10606	711	20	of	of	ADP
easat-10606	711	21	greater	great	ADJ
easat-10606	711	22	than	than	ADP
easat-10606	711	23	70	70	NUM
easat-10606	711	24	%	%	NOUN
easat-10606	711	25	.	.	PUNCT
easat-10606	712	1	among	among	ADP
easat-10606	712	2	all	all	DET
easat-10606	712	3	the	the	DET
easat-10606	712	4	classifiers	classifier	NOUN
easat-10606	712	5	used	use	VERB
easat-10606	712	6	,	,	PUNCT
easat-10606	712	7	the	the	DET
easat-10606	712	8	multilayer	multilayer	NOUN
easat-10606	712	9	perceptron	perceptron	PROPN
easat-10606	712	10	(	(	PUNCT
easat-10606	712	11	mlp	mlp	PROPN
easat-10606	712	12	)	)	PUNCT
easat-10606	712	13	was	be	AUX
easat-10606	712	14	the	the	DET
easat-10606	712	15	best	well	ADV
easat-10606	712	16	-	-	PUNCT
easat-10606	712	17	performing	perform	VERB
easat-10606	712	18	algorithm	algorithm	NOUN
easat-10606	712	19	with	with	ADP
easat-10606	712	20	both	both	CCONJ
easat-10606	712	21	balanced	balanced	ADJ
easat-10606	712	22	and	and	CCONJ
easat-10606	712	23	imbalanced	imbalanced	ADJ
easat-10606	712	24	datasets	dataset	NOUN
easat-10606	712	25	.	.	PUNCT
easat-10606	713	1	the	the	DET
easat-10606	713	2	multilayer	multilayer	PROPN
easat-10606	713	3	perceptron	perceptron	PROPN
easat-10606	713	4	demonstrated	demonstrate	VERB
easat-10606	713	5	better	well	ADJ
easat-10606	713	6	metrics	metric	NOUN
easat-10606	713	7	,	,	PUNCT
easat-10606	713	8	as	as	SCONJ
easat-10606	713	9	illustrated	illustrate	VERB
easat-10606	713	10	in	in	ADP
easat-10606	713	11	fig	fig	NOUN
easat-10606	713	12	.	.	PUNCT
easat-10606	714	1	13	13	NUM
easat-10606	714	2	,	,	PUNCT
easat-10606	714	3	than	than	ADP
easat-10606	714	4	the	the	DET
easat-10606	714	5	other	other	ADJ
easat-10606	714	6	algorithms	algorithm	NOUN
easat-10606	714	7	.	.	PUNCT
easat-10606	715	1	the	the	DET
easat-10606	715	2	stacking	stacking	NOUN
easat-10606	715	3	method	method	NOUN
easat-10606	715	4	,	,	PUNCT
easat-10606	715	5	which	which	PRON
easat-10606	715	6	forms	form	VERB
easat-10606	715	7	the	the	DET
easat-10606	715	8	basis	basis	NOUN
easat-10606	715	9	of	of	ADP
easat-10606	715	10	our	our	PRON
easat-10606	715	11	argument	argument	NOUN
easat-10606	715	12	,	,	PUNCT
easat-10606	715	13	follows	follow	VERB
easat-10606	715	14	the	the	DET
easat-10606	715	15	multilayer	multilayer	ADJ
easat-10606	715	16	perceptron	perceptron	PROPN
easat-10606	715	17	algorithm	algorithm	PROPN
easat-10606	715	18	.	.	PUNCT
easat-10606	716	1	the	the	DET
easat-10606	716	2	naïve	naïve	ADJ
easat-10606	716	3	bayes	bayes	PROPN
easat-10606	716	4	algorithm	algorithm	PROPN
easat-10606	716	5	achieved	achieve	VERB
easat-10606	716	6	the	the	DET
easat-10606	716	7	poorest	poor	ADJ
easat-10606	716	8	performance	performance	NOUN
easat-10606	716	9	compared	compare	VERB
easat-10606	716	10	to	to	ADP
easat-10606	716	11	the	the	DET
easat-10606	716	12	other	other	ADJ
easat-10606	716	13	algorithms	algorithm	NOUN
easat-10606	716	14	.	.	PUNCT
easat-10606	717	1	therefore	therefore	ADV
easat-10606	717	2	,	,	PUNCT
easat-10606	717	3	from	from	ADP
easat-10606	717	4	table	table	NOUN
easat-10606	717	5	2	2	NUM
easat-10606	717	6	,	,	PUNCT
easat-10606	717	7	it	it	PRON
easat-10606	717	8	can	can	AUX
easat-10606	717	9	be	be	AUX
easat-10606	717	10	seen	see	VERB
easat-10606	717	11	that	that	SCONJ
easat-10606	717	12	the	the	DET
easat-10606	717	13	classifier	classifier	NOUN
easat-10606	717	14	does	do	AUX
easat-10606	717	15	not	not	PART
easat-10606	717	16	only	only	ADV
easat-10606	717	17	have	have	VERB
easat-10606	717	18	one	one	NUM
easat-10606	717	19	higher	high	ADJ
easat-10606	717	20	class	class	NOUN
easat-10606	717	21	that	that	PRON
easat-10606	717	22	can	can	AUX
easat-10606	717	23	determine	determine	VERB
easat-10606	717	24	the	the	DET
easat-10606	717	25	final	final	ADJ
easat-10606	717	26	results	result	NOUN
easat-10606	717	27	.	.	PUNCT
easat-10606	718	1	1176	1176	NUM
easat-10606	718	2	edelweiss	edelweiss	PROPN
easat-10606	718	3	applied	apply	VERB
easat-10606	718	4	science	science	NOUN
easat-10606	718	5	and	and	CCONJ
easat-10606	718	6	technology	technology	NOUN
easat-10606	718	7	issn	issn	PROPN
easat-10606	718	8	:	:	PUNCT
easat-10606	718	9	2576	2576	NUM
easat-10606	718	10	-	-	SYM
easat-10606	718	11	8484	8484	NUM
easat-10606	718	12	vol	vol	NOUN
easat-10606	718	13	.	.	PROPN
easat-10606	719	1	9	9	NUM
easat-10606	719	2	,	,	PUNCT
easat-10606	719	3	no	no	INTJ
easat-10606	719	4	.	.	NOUN
easat-10606	719	5	10	10	NUM
easat-10606	719	6	:	:	SYM
easat-10606	719	7	1149	1149	NUM
easat-10606	719	8	-	-	SYM
easat-10606	719	9	1180	1180	NUM
easat-10606	719	10	,	,	PUNCT
easat-10606	719	11	2025	2025	NUM
easat-10606	719	12	doi	doi	NOUN
easat-10606	719	13	:	:	PUNCT
easat-10606	719	14	10.55214/2576	10.55214/2576	NUM
easat-10606	719	15	-	-	SYM
easat-10606	719	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	719	17	©	©	ADP
easat-10606	719	18	2025	2025	NUM
easat-10606	719	19	by	by	ADP
easat-10606	719	20	the	the	DET
easat-10606	719	21	authors	author	NOUN
easat-10606	719	22	;	;	PUNCT
easat-10606	719	23	licensee	licensee	PROPN
easat-10606	719	24	learning	learning	NOUN
easat-10606	719	25	gate	gate	NOUN
easat-10606	719	26	additionally	additionally	ADV
easat-10606	719	27	,	,	PUNCT
easat-10606	719	28	when	when	SCONJ
easat-10606	719	29	multiple	multiple	ADJ
easat-10606	719	30	logistic	logistic	ADJ
easat-10606	719	31	regression	regression	NOUN
easat-10606	719	32	models	model	NOUN
easat-10606	719	33	were	be	AUX
easat-10606	719	34	applied	apply	VERB
easat-10606	719	35	to	to	ADP
easat-10606	719	36	the	the	DET
easat-10606	719	37	balanced	balanced	ADJ
easat-10606	719	38	dataset	dataset	NOUN
easat-10606	719	39	,	,	PUNCT
easat-10606	719	40	the	the	DET
easat-10606	719	41	accuracy	accuracy	NOUN
easat-10606	719	42	and	and	CCONJ
easat-10606	719	43	prediction	prediction	NOUN
easat-10606	719	44	rate	rate	NOUN
easat-10606	719	45	for	for	ADP
easat-10606	719	46	detecting	detect	VERB
easat-10606	719	47	low	low	ADJ
easat-10606	719	48	performers	performer	NOUN
easat-10606	719	49	as	as	ADV
easat-10606	719	50	well	well	ADV
easat-10606	719	51	as	as	ADP
easat-10606	719	52	high	high	ADJ
easat-10606	719	53	performers	performer	NOUN
easat-10606	719	54	increased	increase	VERB
easat-10606	719	55	.	.	PUNCT
easat-10606	720	1	it	it	PRON
easat-10606	720	2	was	be	AUX
easat-10606	720	3	found	find	VERB
easat-10606	720	4	that	that	SCONJ
easat-10606	720	5	among	among	ADP
easat-10606	720	6	the	the	DET
easat-10606	720	7	four	four	NUM
easat-10606	720	8	base	base	NOUN
easat-10606	720	9	classifiers	classifier	NOUN
easat-10606	720	10	,	,	PUNCT
easat-10606	720	11	mlp	mlp	PROPN
easat-10606	720	12	achieved	achieve	VERB
easat-10606	720	13	a	a	DET
easat-10606	720	14	significant	significant	ADJ
easat-10606	720	15	prediction	prediction	NOUN
easat-10606	720	16	accuracy	accuracy	NOUN
easat-10606	720	17	of	of	ADP
easat-10606	720	18	81.76	81.76	NUM
easat-10606	720	19	%	%	NOUN
easat-10606	720	20	when	when	SCONJ
easat-10606	720	21	working	work	VERB
easat-10606	720	22	with	with	ADP
easat-10606	720	23	imbalanced	imbalanced	ADJ
easat-10606	720	24	data	datum	NOUN
easat-10606	720	25	,	,	PUNCT
easat-10606	720	26	while	while	SCONJ
easat-10606	720	27	the	the	DET
easat-10606	720	28	meta	meta	ADJ
easat-10606	720	29	-	-	PUNCT
easat-10606	720	30	classifier	classifier	NOUN
easat-10606	720	31	stacking	stacking	NOUN
easat-10606	720	32	ensemble	ensemble	NOUN
easat-10606	720	33	performed	perform	VERB
easat-10606	720	34	with	with	ADP
easat-10606	720	35	an	an	DET
easat-10606	720	36	accuracy	accuracy	NOUN
easat-10606	720	37	of	of	ADP
easat-10606	720	38	79.05	79.05	NUM
easat-10606	720	39	%	%	NOUN
easat-10606	720	40	on	on	ADP
easat-10606	720	41	the	the	DET
easat-10606	720	42	balanced	balanced	ADJ
easat-10606	720	43	data	datum	NOUN
easat-10606	720	44	.	.	PUNCT
easat-10606	721	1	these	these	DET
easat-10606	721	2	values	value	NOUN
easat-10606	721	3	may	may	AUX
easat-10606	721	4	vary	vary	VERB
easat-10606	721	5	depending	depend	VERB
easat-10606	721	6	on	on	ADP
easat-10606	721	7	the	the	DET
easat-10606	721	8	size	size	NOUN
easat-10606	721	9	and	and	CCONJ
easat-10606	721	10	quality	quality	NOUN
easat-10606	721	11	of	of	ADP
easat-10606	721	12	the	the	DET
easat-10606	721	13	dataset	dataset	NOUN
easat-10606	721	14	.	.	PUNCT
easat-10606	722	1	the	the	DET
easat-10606	722	2	evaluation	evaluation	NOUN
easat-10606	722	3	indicators	indicator	NOUN
easat-10606	722	4	used	use	VERB
easat-10606	722	5	in	in	ADP
easat-10606	722	6	this	this	DET
easat-10606	722	7	study	study	NOUN
easat-10606	722	8	(	(	PUNCT
easat-10606	722	9	table	table	NOUN
easat-10606	722	10	3	3	NUM
easat-10606	722	11	and	and	CCONJ
easat-10606	722	12	figs	fig	NOUN
easat-10606	722	13	.	.	PUNCT
easat-10606	722	14	8–12	8–12	PROPN
easat-10606	722	15	)	)	PUNCT
easat-10606	722	16	to	to	PART
easat-10606	722	17	forecast	forecast	VERB
easat-10606	722	18	student	student	NOUN
easat-10606	722	19	feedback	feedback	NOUN
easat-10606	722	20	comments	comment	NOUN
easat-10606	722	21	suggest	suggest	VERB
easat-10606	722	22	that	that	SCONJ
easat-10606	722	23	machine	machine	NOUN
easat-10606	722	24	learning	learn	VERB
easat-10606	722	25	techniques	technique	NOUN
easat-10606	722	26	combined	combine	VERB
easat-10606	722	27	within	within	ADP
easat-10606	722	28	a	a	DET
easat-10606	722	29	stacking	stacking	NOUN
easat-10606	722	30	model	model	NOUN
easat-10606	722	31	enable	enable	VERB
easat-10606	722	32	efficient	efficient	ADJ
easat-10606	722	33	classification	classification	NOUN
easat-10606	722	34	of	of	ADP
easat-10606	722	35	students	student	NOUN
easat-10606	722	36	'	'	PART
easat-10606	722	37	feedback	feedback	NOUN
easat-10606	722	38	comments	comment	NOUN
easat-10606	722	39	.	.	PUNCT
easat-10606	723	1	it	it	PRON
easat-10606	723	2	should	should	AUX
easat-10606	723	3	also	also	ADV
easat-10606	723	4	be	be	AUX
easat-10606	723	5	noted	note	VERB
easat-10606	723	6	that	that	SCONJ
easat-10606	723	7	different	different	ADJ
easat-10606	723	8	classifiers	classifier	NOUN
easat-10606	723	9	may	may	AUX
easat-10606	723	10	yield	yield	VERB
easat-10606	723	11	the	the	DET
easat-10606	723	12	highest	high	ADJ
easat-10606	723	13	prediction	prediction	NOUN
easat-10606	723	14	accuracy	accuracy	NOUN
easat-10606	723	15	with	with	ADP
easat-10606	723	16	different	different	ADJ
easat-10606	723	17	datasets	dataset	NOUN
easat-10606	723	18	;	;	PUNCT
easat-10606	723	19	therefore	therefore	ADV
easat-10606	723	20	,	,	PUNCT
easat-10606	723	21	the	the	DET
easat-10606	723	22	system	system	NOUN
easat-10606	723	23	must	must	AUX
easat-10606	723	24	be	be	AUX
easat-10606	723	25	scalable	scalable	ADJ
easat-10606	723	26	for	for	ADP
easat-10606	723	27	various	various	ADJ
easat-10606	723	28	circumstances	circumstance	NOUN
easat-10606	723	29	.	.	PUNCT
easat-10606	724	1	the	the	DET
easat-10606	724	2	primary	primary	ADJ
easat-10606	724	3	benefit	benefit	NOUN
easat-10606	724	4	of	of	ADP
easat-10606	724	5	this	this	DET
easat-10606	724	6	approach	approach	NOUN
easat-10606	724	7	is	be	AUX
easat-10606	724	8	its	its	PRON
easat-10606	724	9	adaptability	adaptability	NOUN
easat-10606	724	10	to	to	ADP
easat-10606	724	11	different	different	ADJ
easat-10606	724	12	datasets	dataset	NOUN
easat-10606	724	13	.	.	PUNCT
easat-10606	725	1	to	to	PART
easat-10606	725	2	improve	improve	VERB
easat-10606	725	3	prediction	prediction	NOUN
easat-10606	725	4	accuracy	accuracy	NOUN
easat-10606	725	5	,	,	PUNCT
easat-10606	725	6	this	this	DET
easat-10606	725	7	methodology	methodology	NOUN
easat-10606	725	8	could	could	AUX
easat-10606	725	9	be	be	AUX
easat-10606	725	10	applied	apply	VERB
easat-10606	725	11	to	to	ADP
easat-10606	725	12	various	various	ADJ
easat-10606	725	13	fields	field	NOUN
easat-10606	725	14	of	of	ADP
easat-10606	725	15	data	datum	NOUN
easat-10606	725	16	mining	mining	NOUN
easat-10606	725	17	and	and	CCONJ
easat-10606	725	18	machine	machine	NOUN
easat-10606	725	19	learning	learning	NOUN
easat-10606	725	20	.	.	PUNCT
easat-10606	726	1	the	the	DET
easat-10606	726	2	current	current	ADJ
easat-10606	726	3	study	study	NOUN
easat-10606	726	4	is	be	AUX
easat-10606	726	5	limited	limit	VERB
easat-10606	726	6	by	by	ADP
easat-10606	726	7	the	the	DET
easat-10606	726	8	small	small	ADJ
easat-10606	726	9	sample	sample	NOUN
easat-10606	726	10	size	size	NOUN
easat-10606	726	11	and	and	CCONJ
easat-10606	726	12	mildly	mildly	ADV
easat-10606	726	13	unbalanced	unbalanced	ADJ
easat-10606	726	14	data	datum	NOUN
easat-10606	726	15	in	in	ADP
easat-10606	726	16	the	the	DET
easat-10606	726	17	dataset	dataset	NOUN
easat-10606	726	18	;	;	PUNCT
easat-10606	726	19	future	future	ADJ
easat-10606	726	20	research	research	NOUN
easat-10606	726	21	should	should	AUX
easat-10606	726	22	employ	employ	VERB
easat-10606	726	23	larger	large	ADJ
easat-10606	726	24	sample	sample	NOUN
easat-10606	726	25	sizes	size	NOUN
easat-10606	726	26	and	and	CCONJ
easat-10606	726	27	severely	severely	ADV
easat-10606	726	28	unbalanced	unbalanced	ADJ
easat-10606	726	29	data	datum	NOUN
easat-10606	726	30	for	for	ADP
easat-10606	726	31	predicting	predict	VERB
easat-10606	726	32	student	student	NOUN
easat-10606	726	33	comments	comment	NOUN
easat-10606	726	34	.	.	PUNCT
easat-10606	727	1	additionally	additionally	ADV
easat-10606	727	2	,	,	PUNCT
easat-10606	727	3	applying	apply	VERB
easat-10606	727	4	other	other	ADJ
easat-10606	727	5	ensemble	ensemble	ADJ
easat-10606	727	6	techniques	technique	NOUN
easat-10606	727	7	such	such	ADJ
easat-10606	727	8	as	as	ADP
easat-10606	727	9	bagging	bagging	NOUN
easat-10606	727	10	,	,	PUNCT
easat-10606	727	11	boosting	boost	VERB
easat-10606	727	12	,	,	PUNCT
easat-10606	727	13	layered	layered	ADJ
easat-10606	727	14	generalization	generalization	NOUN
easat-10606	727	15	,	,	PUNCT
easat-10606	727	16	mixtures	mixture	NOUN
easat-10606	727	17	of	of	ADP
easat-10606	727	18	experts	expert	NOUN
easat-10606	727	19	,	,	PUNCT
easat-10606	727	20	and	and	CCONJ
easat-10606	727	21	subspace	subspace	NOUN
easat-10606	727	22	methods	method	NOUN
easat-10606	727	23	could	could	AUX
easat-10606	727	24	uncover	uncover	VERB
easat-10606	727	25	further	far	ADV
easat-10606	727	26	hidden	hide	VERB
easat-10606	727	27	patterns	pattern	NOUN
easat-10606	727	28	in	in	ADP
easat-10606	727	29	educational	educational	ADJ
easat-10606	727	30	datasets	dataset	NOUN
easat-10606	727	31	.	.	PUNCT
easat-10606	728	1	furthermore	furthermore	ADV
easat-10606	728	2	,	,	PUNCT
easat-10606	728	3	large	large	ADJ
easat-10606	728	4	datasets	dataset	NOUN
easat-10606	728	5	with	with	ADP
easat-10606	728	6	diverse	diverse	ADJ
easat-10606	728	7	features	feature	NOUN
easat-10606	728	8	may	may	AUX
easat-10606	728	9	benefit	benefit	VERB
easat-10606	728	10	from	from	ADP
easat-10606	728	11	incremental	incremental	ADJ
easat-10606	728	12	learning	learning	NOUN
easat-10606	728	13	algorithms	algorithm	NOUN
easat-10606	728	14	to	to	PART
easat-10606	728	15	address	address	VERB
easat-10606	728	16	scalability	scalability	NOUN
easat-10606	728	17	issues	issue	NOUN
easat-10606	728	18	.	.	PUNCT
easat-10606	729	1	transparency	transparency	NOUN
easat-10606	729	2	:	:	PUNCT
easat-10606	729	3	the	the	DET
easat-10606	729	4	authors	author	NOUN
easat-10606	729	5	confirm	confirm	VERB
easat-10606	729	6	that	that	SCONJ
easat-10606	729	7	the	the	DET
easat-10606	729	8	manuscript	manuscript	NOUN
easat-10606	729	9	is	be	AUX
easat-10606	729	10	an	an	DET
easat-10606	729	11	honest	honest	ADJ
easat-10606	729	12	,	,	PUNCT
easat-10606	729	13	accurate	accurate	ADJ
easat-10606	729	14	,	,	PUNCT
easat-10606	729	15	and	and	CCONJ
easat-10606	729	16	transparent	transparent	ADJ
easat-10606	729	17	account	account	NOUN
easat-10606	729	18	of	of	ADP
easat-10606	729	19	the	the	DET
easat-10606	729	20	study	study	NOUN
easat-10606	729	21	;	;	PUNCT
easat-10606	729	22	that	that	SCONJ
easat-10606	729	23	no	no	DET
easat-10606	729	24	vital	vital	ADJ
easat-10606	729	25	features	feature	NOUN
easat-10606	729	26	of	of	ADP
easat-10606	729	27	the	the	DET
easat-10606	729	28	study	study	NOUN
easat-10606	729	29	have	have	AUX
easat-10606	729	30	been	be	AUX
easat-10606	729	31	omitted	omit	VERB
easat-10606	729	32	;	;	PUNCT
easat-10606	729	33	and	and	CCONJ
easat-10606	729	34	that	that	SCONJ
easat-10606	729	35	any	any	DET
easat-10606	729	36	discrepancies	discrepancy	NOUN
easat-10606	729	37	from	from	ADP
easat-10606	729	38	the	the	DET
easat-10606	729	39	study	study	NOUN
easat-10606	729	40	as	as	SCONJ
easat-10606	729	41	planned	plan	VERB
easat-10606	729	42	have	have	AUX
easat-10606	729	43	been	be	AUX
easat-10606	729	44	explained	explain	VERB
easat-10606	729	45	.	.	PUNCT
easat-10606	730	1	this	this	DET
easat-10606	730	2	study	study	NOUN
easat-10606	730	3	followed	follow	VERB
easat-10606	730	4	all	all	DET
easat-10606	730	5	ethical	ethical	ADJ
easat-10606	730	6	practices	practice	NOUN
easat-10606	730	7	during	during	ADP
easat-10606	730	8	writing	writing	NOUN
easat-10606	730	9	.	.	PUNCT
easat-10606	731	1	acknowledgements	acknowledgement	NOUN
easat-10606	731	2	:	:	PUNCT
easat-10606	731	3	the	the	DET
easat-10606	731	4	authors	author	NOUN
easat-10606	731	5	would	would	AUX
easat-10606	731	6	like	like	VERB
easat-10606	731	7	to	to	PART
easat-10606	731	8	acknowledge	acknowledge	VERB
easat-10606	731	9	to	to	ADP
easat-10606	731	10	department	department	NOUN
easat-10606	731	11	of	of	ADP
easat-10606	731	12	computer	computer	NOUN
easat-10606	731	13	sciences	sciences	PROPN
easat-10606	731	14	,	,	PUNCT
easat-10606	731	15	nnamdi	nnamdi	PROPN
easat-10606	731	16	azikiwe	azikiwe	PROPN
easat-10606	731	17	university	university	PROPN
easat-10606	731	18	,	,	PUNCT
easat-10606	731	19	nigeria	nigeria	PROPN
easat-10606	731	20	,	,	PUNCT
easat-10606	731	21	for	for	ADP
easat-10606	731	22	allowing	allow	VERB
easat-10606	731	23	us	we	PRON
easat-10606	731	24	to	to	PART
easat-10606	731	25	conduct	conduct	VERB
easat-10606	731	26	the	the	DET
easat-10606	731	27	studies	study	NOUN
easat-10606	731	28	.	.	PUNCT
easat-10606	732	1	copyright	copyright	NOUN
easat-10606	732	2	:	:	PUNCT
easat-10606	732	3	©	©	PROPN
easat-10606	732	4	2025	2025	NUM
easat-10606	732	5	by	by	ADP
easat-10606	732	6	the	the	DET
easat-10606	732	7	authors	author	NOUN
easat-10606	732	8	.	.	PUNCT
easat-10606	733	1	this	this	DET
easat-10606	733	2	article	article	NOUN
easat-10606	733	3	is	be	AUX
easat-10606	733	4	an	an	DET
easat-10606	733	5	open	open	ADJ
easat-10606	733	6	access	access	NOUN
easat-10606	733	7	article	article	NOUN
easat-10606	733	8	distributed	distribute	VERB
easat-10606	733	9	under	under	ADP
easat-10606	733	10	the	the	DET
easat-10606	733	11	terms	term	NOUN
easat-10606	733	12	and	and	CCONJ
easat-10606	733	13	conditions	condition	NOUN
easat-10606	733	14	of	of	ADP
easat-10606	733	15	the	the	DET
easat-10606	733	16	creative	creative	ADJ
easat-10606	733	17	commons	common	NOUN
easat-10606	733	18	attribution	attribution	NOUN
easat-10606	733	19	(	(	PUNCT
easat-10606	733	20	cc	cc	NOUN
easat-10606	733	21	by	by	ADP
easat-10606	733	22	)	)	PUNCT
easat-10606	733	23	license	license	NOUN
easat-10606	733	24	(	(	PUNCT
easat-10606	733	25	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-10606	733	26	)	)	PUNCT
easat-10606	733	27	.	.	PUNCT
easat-10606	734	1	references	reference	NOUN
easat-10606	734	2	[	[	X
easat-10606	734	3	1	1	NUM
easat-10606	734	4	]	]	PUNCT
easat-10606	734	5	r.	r.	PROPN
easat-10606	734	6	p.	p.	PROPN
easat-10606	734	7	s.	s.	PROPN
easat-10606	734	8	kaurav	kaurav	PROPN
easat-10606	734	9	,	,	PUNCT
easat-10606	734	10	k.	k.	PROPN
easat-10606	734	11	suresh	suresh	PROPN
easat-10606	734	12	,	,	PUNCT
easat-10606	734	13	s.	s.	PROPN
easat-10606	734	14	narula	narula	PROPN
easat-10606	734	15	,	,	PUNCT
easat-10606	734	16	and	and	CCONJ
easat-10606	734	17	r.	r.	PROPN
easat-10606	734	18	baber	baber	PROPN
easat-10606	734	19	,	,	PUNCT
easat-10606	734	20	"	"	PUNCT
easat-10606	734	21	new	new	ADJ
easat-10606	734	22	education	education	NOUN
easat-10606	734	23	policy	policy	NOUN
easat-10606	734	24	:	:	PUNCT
easat-10606	734	25	qualitative	qualitative	NOUN
easat-10606	734	26	(	(	PUNCT
easat-10606	734	27	contents	content	NOUN
easat-10606	734	28	)	)	PUNCT
easat-10606	734	29	analysis	analysis	NOUN
easat-10606	734	30	and	and	CCONJ
easat-10606	734	31	twitter	twitter	NOUN
easat-10606	734	32	mining	mining	NOUN
easat-10606	734	33	(	(	PUNCT
easat-10606	734	34	sentiment	sentiment	NOUN
easat-10606	734	35	analysis	analysis	NOUN
easat-10606	734	36	)	)	PUNCT
easat-10606	734	37	,	,	PUNCT
easat-10606	734	38	"	"	PUNCT
easat-10606	734	39	journal	journal	NOUN
easat-10606	734	40	of	of	ADP
easat-10606	734	41	content	content	NOUN
easat-10606	734	42	,	,	PUNCT
easat-10606	734	43	community	community	NOUN
easat-10606	734	44	and	and	CCONJ
easat-10606	734	45	communication	communication	NOUN
easat-10606	734	46	,	,	PUNCT
easat-10606	734	47	vol	vol	NOUN
easat-10606	734	48	.	.	PROPN
easat-10606	734	49	12	12	NUM
easat-10606	734	50	,	,	PUNCT
easat-10606	734	51	no	no	INTJ
easat-10606	734	52	.	.	NOUN
easat-10606	734	53	1	1	NUM
easat-10606	734	54	,	,	PUNCT
easat-10606	734	55	pp	pp	ADJ
easat-10606	734	56	.	.	PUNCT
easat-10606	735	1	4	4	NUM
easat-10606	735	2	-	-	SYM
easat-10606	735	3	13	13	NUM
easat-10606	735	4	,	,	PUNCT
easat-10606	735	5	2020	2020	NUM
easat-10606	735	6	.	.	PUNCT
easat-10606	736	1	[	[	X
easat-10606	736	2	2	2	NUM
easat-10606	736	3	]	]	PUNCT
easat-10606	736	4	z.	z.	PROPN
easat-10606	736	5	lazić	lazić	PROPN
easat-10606	736	6	,	,	PUNCT
easat-10606	736	7	a.	a.	NOUN
easat-10606	736	8	đorđević	đorđević	NUM
easat-10606	736	9	,	,	PUNCT
easat-10606	736	10	and	and	CCONJ
easat-10606	736	11	a.	a.	NOUN
easat-10606	736	12	gazizulina	gazizulina	PROPN
easat-10606	736	13	,	,	PUNCT
easat-10606	736	14	"	"	PUNCT
easat-10606	736	15	improvement	improvement	NOUN
easat-10606	736	16	of	of	ADP
easat-10606	736	17	quality	quality	NOUN
easat-10606	736	18	of	of	ADP
easat-10606	736	19	higher	high	ADJ
easat-10606	736	20	education	education	NOUN
easat-10606	736	21	institutions	institution	NOUN
easat-10606	736	22	as	as	ADP
easat-10606	736	23	a	a	DET
easat-10606	736	24	basis	basis	NOUN
easat-10606	736	25	for	for	ADP
easat-10606	736	26	improvement	improvement	NOUN
easat-10606	736	27	of	of	ADP
easat-10606	736	28	quality	quality	NOUN
easat-10606	736	29	of	of	ADP
easat-10606	736	30	life	life	NOUN
easat-10606	736	31	,	,	PUNCT
easat-10606	736	32	"	"	PUNCT
easat-10606	736	33	sustainability	sustainability	NOUN
easat-10606	736	34	,	,	PUNCT
easat-10606	736	35	vol	vol	NOUN
easat-10606	736	36	.	.	PROPN
easat-10606	736	37	13	13	NUM
easat-10606	736	38	,	,	PUNCT
easat-10606	736	39	no	no	INTJ
easat-10606	736	40	.	.	NOUN
easat-10606	736	41	8	8	NUM
easat-10606	736	42	,	,	PUNCT
easat-10606	736	43	p.	p.	NOUN
easat-10606	736	44	4149	4149	NUM
easat-10606	736	45	,	,	PUNCT
easat-10606	736	46	2021	2021	NUM
easat-10606	736	47	.	.	PUNCT
easat-10606	736	48	https://doi.org/10.3390/su13084149	https://doi.org/10.3390/su13084149	X
easat-10606	737	1	[	[	X
easat-10606	737	2	3	3	NUM
easat-10606	737	3	]	]	X
easat-10606	737	4	e.	e.	PROPN
easat-10606	737	5	oghu	oghu	PROPN
easat-10606	737	6	,	,	PUNCT
easat-10606	737	7	e.	e.	PROPN
easat-10606	737	8	ogbuju	ogbuju	PROPN
easat-10606	737	9	,	,	PUNCT
easat-10606	737	10	t.	t.	PROPN
easat-10606	737	11	abiodun	abiodun	PROPN
easat-10606	737	12	,	,	PUNCT
easat-10606	737	13	and	and	CCONJ
easat-10606	737	14	f.	f.	PROPN
easat-10606	737	15	oladipo	oladipo	PROPN
easat-10606	737	16	,	,	PUNCT
easat-10606	737	17	"	"	PUNCT
easat-10606	737	18	baseline	baseline	ADJ
easat-10606	737	19	study	study	NOUN
easat-10606	737	20	of	of	ADP
easat-10606	737	21	different	different	ADJ
easat-10606	737	22	sentiment	sentiment	NOUN
easat-10606	737	23	analysis	analysis	NOUN
easat-10606	737	24	computing	computing	NOUN
easat-10606	737	25	methods	method	NOUN
easat-10606	737	26	to	to	PART
easat-10606	737	27	enhance	enhance	VERB
easat-10606	737	28	quality	quality	NOUN
easat-10606	737	29	assurance	assurance	NOUN
easat-10606	737	30	in	in	ADP
easat-10606	737	31	teaching	teaching	NOUN
easat-10606	737	32	and	and	CCONJ
easat-10606	737	33	learning	learning	NOUN
easat-10606	737	34	,	,	PUNCT
easat-10606	737	35	"	"	PUNCT
easat-10606	737	36	journal	journal	NOUN
easat-10606	737	37	,	,	PUNCT
easat-10606	737	38	advances	advance	NOUN
easat-10606	737	39	in	in	ADP
easat-10606	737	40	mathematical	mathematical	ADJ
easat-10606	737	41	&	&	CCONJ
easat-10606	737	42	computational	computational	ADJ
easat-10606	737	43	sciences	sciences	PROPN
easat-10606	737	44	,	,	PUNCT
easat-10606	737	45	vol	vol	NOUN
easat-10606	737	46	.	.	PROPN
easat-10606	738	1	11	11	NUM
easat-10606	738	2	,	,	PUNCT
easat-10606	738	3	no	no	INTJ
easat-10606	738	4	.	.	NOUN
easat-10606	738	5	3	3	NUM
easat-10606	738	6	,	,	PUNCT
easat-10606	738	7	pp	pp	ADJ
easat-10606	738	8	.	.	PUNCT
easat-10606	739	1	1	1	NUM
easat-10606	739	2	-	-	SYM
easat-10606	739	3	20	20	NUM
easat-10606	739	4	,	,	PUNCT
easat-10606	739	5	2023	2023	NUM
easat-10606	739	6	.	.	PUNCT
easat-10606	740	1	[	[	X
easat-10606	740	2	4	4	NUM
easat-10606	740	3	]	]	X
easat-10606	740	4	pooja	pooja	NOUN
easat-10606	740	5	and	and	CCONJ
easat-10606	740	6	r.	r.	PROPN
easat-10606	740	7	bhalla	bhalla	PROPN
easat-10606	740	8	,	,	PUNCT
easat-10606	740	9	"	"	PUNCT
easat-10606	740	10	a	a	DET
easat-10606	740	11	review	review	NOUN
easat-10606	740	12	paper	paper	NOUN
easat-10606	740	13	on	on	ADP
easat-10606	740	14	the	the	DET
easat-10606	740	15	role	role	NOUN
easat-10606	740	16	of	of	ADP
easat-10606	740	17	sentiment	sentiment	NOUN
easat-10606	740	18	analysis	analysis	NOUN
easat-10606	740	19	in	in	ADP
easat-10606	740	20	quality	quality	NOUN
easat-10606	740	21	education	education	NOUN
easat-10606	740	22	,	,	PUNCT
easat-10606	740	23	"	"	PUNCT
easat-10606	740	24	sn	sn	PROPN
easat-10606	740	25	computer	computer	NOUN
easat-10606	740	26	science	science	NOUN
easat-10606	740	27	,	,	PUNCT
easat-10606	740	28	vol	vol	NOUN
easat-10606	740	29	.	.	PROPN
easat-10606	740	30	3	3	NUM
easat-10606	740	31	,	,	PUNCT
easat-10606	740	32	p.	p.	NOUN
easat-10606	740	33	469	469	NUM
easat-10606	740	34	,	,	PUNCT
easat-10606	740	35	2022	2022	NUM
easat-10606	740	36	.	.	PUNCT
easat-10606	740	37	https://doi.org/10.1007/s42979-022-01366-9	https://doi.org/10.1007/s42979-022-01366-9	NUM
easat-10606	741	1	[	[	X
easat-10606	741	2	5	5	NUM
easat-10606	741	3	]	]	PUNCT
easat-10606	741	4	s.	s.	PROPN
easat-10606	741	5	bloxham	bloxham	PROPN
easat-10606	741	6	and	and	CCONJ
easat-10606	741	7	p.	p.	PROPN
easat-10606	741	8	boyd	boyd	PROPN
easat-10606	741	9	,	,	PUNCT
easat-10606	741	10	developing	develop	VERB
easat-10606	741	11	effective	effective	ADJ
easat-10606	741	12	assessment	assessment	NOUN
easat-10606	741	13	in	in	ADP
easat-10606	741	14	higher	high	ADJ
easat-10606	741	15	education	education	NOUN
easat-10606	741	16	:	:	PUNCT
easat-10606	741	17	a	a	DET
easat-10606	741	18	practical	practical	ADJ
easat-10606	741	19	guide	guide	NOUN
easat-10606	741	20	:	:	PUNCT
easat-10606	741	21	a	a	DET
easat-10606	741	22	practical	practical	ADJ
easat-10606	741	23	guide	guide	NOUN
easat-10606	741	24	.	.	PUNCT
easat-10606	742	1	uk	uk	PROPN
easat-10606	742	2	:	:	PUNCT
easat-10606	742	3	mcgraw	mcgraw	PROPN
easat-10606	742	4	-	-	PUNCT
easat-10606	742	5	hill	hill	NOUN
easat-10606	742	6	education	education	NOUN
easat-10606	742	7	,	,	PUNCT
easat-10606	742	8	2007	2007	NUM
easat-10606	742	9	.	.	PUNCT
easat-10606	743	1	[	[	X
easat-10606	743	2	6	6	NUM
easat-10606	743	3	]	]	PUNCT
easat-10606	743	4	j.	j.	PROPN
easat-10606	743	5	hattie	hattie	PROPN
easat-10606	743	6	and	and	CCONJ
easat-10606	743	7	h.	h.	PROPN
easat-10606	743	8	timperley	timperley	PROPN
easat-10606	743	9	,	,	PUNCT
easat-10606	743	10	"	"	PUNCT
easat-10606	743	11	the	the	DET
easat-10606	743	12	power	power	NOUN
easat-10606	743	13	of	of	ADP
easat-10606	743	14	feedback	feedback	NOUN
easat-10606	743	15	,	,	PUNCT
easat-10606	743	16	"	"	PUNCT
easat-10606	743	17	review	review	NOUN
easat-10606	743	18	of	of	ADP
easat-10606	743	19	educational	educational	ADJ
easat-10606	743	20	research	research	NOUN
easat-10606	743	21	,	,	PUNCT
easat-10606	743	22	vol	vol	NOUN
easat-10606	743	23	.	.	PROPN
easat-10606	743	24	77	77	NUM
easat-10606	743	25	,	,	PUNCT
easat-10606	743	26	no	no	INTJ
easat-10606	743	27	.	.	NOUN
easat-10606	743	28	1	1	NUM
easat-10606	743	29	,	,	PUNCT
easat-10606	743	30	pp	pp	ADJ
easat-10606	743	31	.	.	PUNCT
easat-10606	744	1	81	81	NUM
easat-10606	744	2	-	-	SYM
easat-10606	744	3	112	112	NUM
easat-10606	744	4	,	,	PUNCT
easat-10606	744	5	2007	2007	NUM
easat-10606	744	6	.	.	PUNCT
easat-10606	745	1	https://doi.org/10.3102/003465430298487	https://doi.org/10.3102/003465430298487	X
easat-10606	746	1	[	[	X
easat-10606	746	2	7	7	X
easat-10606	746	3	]	]	X
easat-10606	746	4	c.	c.	PROPN
easat-10606	746	5	plank	plank	PROPN
easat-10606	746	6	,	,	PUNCT
easat-10606	746	7	h.	h.	PROPN
easat-10606	746	8	dixon	dixon	PROPN
easat-10606	746	9	,	,	PUNCT
easat-10606	746	10	and	and	CCONJ
easat-10606	746	11	g.	g.	PROPN
easat-10606	746	12	ward	ward	PROPN
easat-10606	746	13	,	,	PUNCT
easat-10606	746	14	"	"	PUNCT
easat-10606	746	15	student	student	NOUN
easat-10606	746	16	voices	voice	NOUN
easat-10606	746	17	about	about	ADP
easat-10606	746	18	the	the	DET
easat-10606	746	19	role	role	NOUN
easat-10606	746	20	feedback	feedback	NOUN
easat-10606	746	21	plays	play	VERB
easat-10606	746	22	in	in	ADP
easat-10606	746	23	the	the	DET
easat-10606	746	24	enhancement	enhancement	NOUN
easat-10606	746	25	of	of	ADP
easat-10606	746	26	their	their	PRON
easat-10606	746	27	learning	learning	NOUN
easat-10606	746	28	,	,	PUNCT
easat-10606	746	29	"	"	PUNCT
easat-10606	746	30	australian	australian	ADJ
easat-10606	746	31	journal	journal	NOUN
easat-10606	746	32	of	of	ADP
easat-10606	746	33	teacher	teacher	NOUN
easat-10606	746	34	education	education	NOUN
easat-10606	746	35	(	(	PUNCT
easat-10606	746	36	online	online	ADJ
easat-10606	746	37	)	)	PUNCT
easat-10606	746	38	,	,	PUNCT
easat-10606	746	39	vol	vol	NOUN
easat-10606	746	40	.	.	PROPN
easat-10606	746	41	39	39	NUM
easat-10606	746	42	,	,	PUNCT
easat-10606	746	43	no	no	INTJ
easat-10606	746	44	.	.	NOUN
easat-10606	746	45	9	9	NUM
easat-10606	746	46	,	,	PUNCT
easat-10606	746	47	pp	pp	ADJ
easat-10606	746	48	.	.	PUNCT
easat-10606	747	1	98	98	NUM
easat-10606	747	2	-	-	SYM
easat-10606	747	3	110	110	NUM
easat-10606	747	4	,	,	PUNCT
easat-10606	747	5	2014	2014	NUM
easat-10606	747	6	.	.	PUNCT
easat-10606	748	1	[	[	X
easat-10606	748	2	8	8	NUM
easat-10606	748	3	]	]	PUNCT
easat-10606	748	4	a.	a.	PROPN
easat-10606	748	5	r.	r.	PROPN
easat-10606	748	6	lawal	lawal	PROPN
easat-10606	748	7	,	,	PUNCT
easat-10606	748	8	s.	s.	PROPN
easat-10606	748	9	aina	aina	PROPN
easat-10606	748	10	,	,	PUNCT
easat-10606	748	11	s.	s.	PROPN
easat-10606	748	12	ayeni	ayeni	PROPN
easat-10606	748	13	,	,	PUNCT
easat-10606	748	14	s.	s.	PROPN
easat-10606	748	15	d.	d.	PROPN
easat-10606	748	16	okegbile	okegbile	PROPN
easat-10606	748	17	,	,	PUNCT
easat-10606	748	18	and	and	CCONJ
easat-10606	748	19	a.	a.	PROPN
easat-10606	748	20	i.	i.	PROPN
easat-10606	748	21	oluwaranti	oluwaranti	PROPN
easat-10606	748	22	,	,	PUNCT
easat-10606	748	23	"	"	PUNCT
easat-10606	748	24	systems	system	NOUN
easat-10606	748	25	.	.	PUNCT
easat-10606	749	1	theory	theory	NOUN
easat-10606	749	2	approach	approach	NOUN
easat-10606	749	3	to	to	ADP
easat-10606	749	4	engineering	engineering	NOUN
easat-10606	749	5	education	education	NOUN
easat-10606	749	6	:	:	PUNCT
easat-10606	749	7	a	a	DET
easat-10606	749	8	review	review	NOUN
easat-10606	749	9	of	of	ADP
easat-10606	749	10	feedback	feedback	NOUN
easat-10606	749	11	structures	structure	NOUN
easat-10606	749	12	,	,	PUNCT
easat-10606	749	13	"	"	PUNCT
easat-10606	749	14	in	in	ADP
easat-10606	749	15	proceedings	proceeding	NOUN
easat-10606	749	16	of	of	ADP
easat-10606	749	17	12th	12th	ADJ
easat-10606	749	18	international	international	ADJ
easat-10606	749	19	multi	multi	NOUN
easat-10606	749	20	-	-	NOUN
easat-10606	749	21	conference	conference	NOUN
easat-10606	749	22	on	on	ADP
easat-10606	749	23	ict	ict	PROPN
easat-10606	749	24	applications	application	NOUN
easat-10606	749	25	,	,	PUNCT
easat-10606	749	26	application	application	NOUN
easat-10606	749	27	of	of	ADP
easat-10606	749	28	information	information	NOUN
easat-10606	749	29	communication	communication	NOUN
easat-10606	749	30	and	and	CCONJ
easat-10606	749	31	technologies	technology	NOUN
easat-10606	749	32	in	in	ADP
easat-10606	749	33	teaching	teaching	NOUN
easat-10606	749	34	,	,	PUNCT
easat-10606	749	35	research	research	NOUN
easat-10606	749	36	and	and	CCONJ
easat-10606	749	37	administration	administration	NOUN
easat-10606	749	38	conference	conference	NOUN
easat-10606	749	39	,	,	PUNCT
easat-10606	749	40	2018	2018	NUM
easat-10606	749	41	.	.	PUNCT
easat-10606	750	1	[	[	X
easat-10606	750	2	9	9	NUM
easat-10606	750	3	]	]	PUNCT
easat-10606	750	4	l.	l.	PROPN
easat-10606	750	5	harvey	harvey	PROPN
easat-10606	750	6	,	,	PUNCT
easat-10606	750	7	"	"	PUNCT
easat-10606	750	8	student	student	NOUN
easat-10606	750	9	feedback	feedback	NOUN
easat-10606	750	10	:	:	PUNCT
easat-10606	750	11	a	a	DET
easat-10606	750	12	report	report	NOUN
easat-10606	750	13	to	to	ADP
easat-10606	750	14	the	the	DET
easat-10606	750	15	higher	high	ADJ
easat-10606	750	16	education	education	NOUN
easat-10606	750	17	funding	funding	NOUN
easat-10606	750	18	council	council	PROPN
easat-10606	750	19	for	for	ADP
easat-10606	750	20	england	england	PROPN
easat-10606	750	21	,	,	PUNCT
easat-10606	750	22	"	"	PUNCT
easat-10606	750	23	research	research	NOUN
easat-10606	750	24	report	report	NOUN
easat-10606	750	25	,	,	PUNCT
easat-10606	750	26	centre	centre	NOUN
easat-10606	750	27	for	for	ADP
easat-10606	750	28	research	research	NOUN
easat-10606	750	29	into	into	ADP
easat-10606	750	30	quality	quality	NOUN
easat-10606	750	31	,	,	PUNCT
easat-10606	750	32	the	the	DET
easat-10606	750	33	university	university	NOUN
easat-10606	750	34	of	of	ADP
easat-10606	750	35	central	central	PROPN
easat-10606	750	36	england	england	PROPN
easat-10606	750	37	,	,	PUNCT
easat-10606	750	38	birmingham	birmingham	PROPN
easat-10606	750	39	,	,	PUNCT
easat-10606	750	40	united	united	ADJ
easat-10606	750	41	kingdom	kingdom	PROPN
easat-10606	750	42	,	,	PUNCT
easat-10606	750	43	2001	2001	NUM
easat-10606	750	44	.	.	PUNCT
easat-10606	751	1	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-10606	751	2	https://doi.org/10.3390/su13084149	https://doi.org/10.3390/su13084149	PROPN
easat-10606	751	3	https://doi.org/10.1007/s42979-022-01366-9	https://doi.org/10.1007/s42979-022-01366-9	NOUN
easat-10606	751	4	https://doi.org/10.3102/003465430298487	https://doi.org/10.3102/003465430298487	NOUN
easat-10606	751	5	1177	1177	NUM
easat-10606	751	6	edelweiss	edelweiss	PROPN
easat-10606	751	7	applied	apply	VERB
easat-10606	751	8	science	science	NOUN
easat-10606	751	9	and	and	CCONJ
easat-10606	751	10	technology	technology	NOUN
easat-10606	751	11	issn	issn	PROPN
easat-10606	751	12	:	:	PUNCT
easat-10606	751	13	2576	2576	NUM
easat-10606	751	14	-	-	SYM
easat-10606	751	15	8484	8484	NUM
easat-10606	751	16	vol	vol	NOUN
easat-10606	751	17	.	.	PROPN
easat-10606	752	1	9	9	NUM
easat-10606	752	2	,	,	PUNCT
easat-10606	752	3	no	no	INTJ
easat-10606	752	4	.	.	NOUN
easat-10606	752	5	10	10	NUM
easat-10606	752	6	:	:	SYM
easat-10606	752	7	1149	1149	NUM
easat-10606	752	8	-	-	SYM
easat-10606	752	9	1180	1180	NUM
easat-10606	752	10	,	,	PUNCT
easat-10606	752	11	2025	2025	NUM
easat-10606	752	12	doi	doi	NOUN
easat-10606	752	13	:	:	PUNCT
easat-10606	752	14	10.55214/2576	10.55214/2576	NUM
easat-10606	752	15	-	-	SYM
easat-10606	752	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	752	17	©	©	ADP
easat-10606	752	18	2025	2025	NUM
easat-10606	752	19	by	by	ADP
easat-10606	752	20	the	the	DET
easat-10606	752	21	authors	author	NOUN
easat-10606	752	22	;	;	PUNCT
easat-10606	752	23	licensee	licensee	PROPN
easat-10606	752	24	learning	learning	NOUN
easat-10606	752	25	gate	gate	NOUN
easat-10606	753	1	[	[	X
easat-10606	753	2	10	10	NUM
easat-10606	753	3	]	]	PUNCT
easat-10606	753	4	s.	s.	PROPN
easat-10606	753	5	gottipati	gottipati	PROPN
easat-10606	753	6	,	,	PUNCT
easat-10606	753	7	v.	v.	ADP
easat-10606	753	8	shankararaman	shankararaman	NOUN
easat-10606	753	9	,	,	PUNCT
easat-10606	753	10	and	and	CCONJ
easat-10606	753	11	s.	s.	PROPN
easat-10606	753	12	gan	gan	PROPN
easat-10606	753	13	,	,	PUNCT
easat-10606	753	14	"	"	PUNCT
easat-10606	753	15	a	a	DET
easat-10606	753	16	conceptual	conceptual	ADJ
easat-10606	753	17	framework	framework	NOUN
easat-10606	753	18	for	for	ADP
easat-10606	753	19	analyzing	analyze	VERB
easat-10606	753	20	students	student	NOUN
easat-10606	753	21	'	'	PART
easat-10606	753	22	feedback	feedback	NOUN
easat-10606	753	23	,	,	PUNCT
easat-10606	753	24	"	"	PUNCT
easat-10606	753	25	in	in	ADP
easat-10606	753	26	2017	2017	NUM
easat-10606	753	27	ieee	ieee	NOUN
easat-10606	753	28	frontiers	frontier	NOUN
easat-10606	753	29	in	in	ADP
easat-10606	753	30	education	education	NOUN
easat-10606	753	31	conference	conference	NOUN
easat-10606	753	32	(	(	PUNCT
easat-10606	753	33	fie	fie	X
easat-10606	753	34	)	)	PUNCT
easat-10606	753	35	(	(	PUNCT
easat-10606	753	36	pp	pp	X
easat-10606	753	37	.	.	PUNCT
easat-10606	754	1	1	1	NUM
easat-10606	754	2	-	-	SYM
easat-10606	754	3	8)	8)	NUM
easat-10606	754	4	.	.	PUNCT
easat-10606	754	5	ieee	ieee	NOUN
easat-10606	754	6	,	,	PUNCT
easat-10606	754	7	2017	2017	NUM
easat-10606	754	8	.	.	PUNCT
easat-10606	755	1	[	[	X
easat-10606	755	2	11	11	NUM
easat-10606	755	3	]	]	PUNCT
easat-10606	755	4	w.	w.	PROPN
easat-10606	755	5	harlen	harlen	PROPN
easat-10606	755	6	and	and	CCONJ
easat-10606	755	7	m.	m.	NOUN
easat-10606	755	8	james	james	PROPN
easat-10606	755	9	,	,	PUNCT
easat-10606	755	10	"	"	PUNCT
easat-10606	755	11	assessment	assessment	NOUN
easat-10606	755	12	and	and	CCONJ
easat-10606	755	13	learning	learning	NOUN
easat-10606	755	14	:	:	PUNCT
easat-10606	755	15	differences	difference	NOUN
easat-10606	755	16	and	and	CCONJ
easat-10606	755	17	relationships	relationship	NOUN
easat-10606	755	18	between	between	ADP
easat-10606	755	19	formative	formative	ADJ
easat-10606	755	20	and	and	CCONJ
easat-10606	755	21	summative	summative	ADJ
easat-10606	755	22	assessment	assessment	NOUN
easat-10606	755	23	,	,	PUNCT
easat-10606	755	24	"	"	PUNCT
easat-10606	755	25	assessment	assessment	NOUN
easat-10606	755	26	in	in	ADP
easat-10606	755	27	education	education	NOUN
easat-10606	755	28	:	:	PUNCT
easat-10606	755	29	principles	principle	NOUN
easat-10606	755	30	,	,	PUNCT
easat-10606	755	31	policy	policy	NOUN
easat-10606	755	32	&	&	CCONJ
easat-10606	755	33	practice	practice	NOUN
easat-10606	755	34	,	,	PUNCT
easat-10606	755	35	vol	vol	NOUN
easat-10606	755	36	.	.	PROPN
easat-10606	755	37	4	4	NUM
easat-10606	755	38	,	,	PUNCT
easat-10606	755	39	no	no	INTJ
easat-10606	755	40	.	.	NOUN
easat-10606	755	41	3	3	NUM
easat-10606	755	42	,	,	PUNCT
easat-10606	755	43	pp	pp	ADJ
easat-10606	755	44	.	.	PUNCT
easat-10606	756	1	365	365	NUM
easat-10606	756	2	-	-	SYM
easat-10606	756	3	379	379	NUM
easat-10606	756	4	,	,	PUNCT
easat-10606	756	5	1997	1997	NUM
easat-10606	756	6	.	.	PUNCT
easat-10606	757	1	https://doi.org/10.1080/0969594970040304	https://doi.org/10.1080/0969594970040304	X
easat-10606	758	1	[	[	X
easat-10606	758	2	12	12	NUM
easat-10606	758	3	]	]	X
easat-10606	758	4	c.	c.	PROPN
easat-10606	758	5	s.	s.	PROPN
easat-10606	758	6	nair	nair	PROPN
easat-10606	758	7	,	,	PUNCT
easat-10606	758	8	a.	a.	NOUN
easat-10606	758	9	patil	patil	PROPN
easat-10606	758	10	,	,	PUNCT
easat-10606	758	11	and	and	CCONJ
easat-10606	758	12	p.	p.	NOUN
easat-10606	758	13	mertova	mertova	PROPN
easat-10606	758	14	,	,	PUNCT
easat-10606	758	15	"	"	PUNCT
easat-10606	758	16	re	re	ADJ
easat-10606	758	17	-	-	ADJ
easat-10606	758	18	engineering	engineering	ADJ
easat-10606	758	19	graduate	graduate	NOUN
easat-10606	758	20	skills	skill	NOUN
easat-10606	758	21	–	–	PUNCT
easat-10606	758	22	a	a	DET
easat-10606	758	23	case	case	NOUN
easat-10606	758	24	study	study	NOUN
easat-10606	758	25	,	,	PUNCT
easat-10606	758	26	"	"	PUNCT
easat-10606	758	27	european	european	ADJ
easat-10606	758	28	journal	journal	NOUN
easat-10606	758	29	of	of	ADP
easat-10606	758	30	engineering	engineering	NOUN
easat-10606	758	31	education	education	NOUN
easat-10606	758	32	,	,	PUNCT
easat-10606	758	33	vol	vol	NOUN
easat-10606	758	34	.	.	PROPN
easat-10606	759	1	34	34	NUM
easat-10606	759	2	,	,	PUNCT
easat-10606	759	3	no	no	INTJ
easat-10606	759	4	.	.	NOUN
easat-10606	759	5	2	2	NUM
easat-10606	759	6	,	,	PUNCT
easat-10606	759	7	pp	pp	ADJ
easat-10606	759	8	.	.	PUNCT
easat-10606	760	1	131	131	NUM
easat-10606	760	2	-	-	SYM
easat-10606	760	3	139	139	NUM
easat-10606	760	4	,	,	PUNCT
easat-10606	760	5	2009	2009	NUM
easat-10606	760	6	.	.	PUNCT
easat-10606	761	1	https://doi.org/10.1080/03043790902829281	https://doi.org/10.1080/03043790902829281	NOUN
easat-10606	762	1	[	[	PUNCT
easat-10606	762	2	13	13	NUM
easat-10606	762	3	]	]	PUNCT
easat-10606	762	4	m.	m.	NOUN
easat-10606	762	5	s.	s.	PROPN
easat-10606	762	6	alade	alade	PROPN
easat-10606	762	7	and	and	CCONJ
easat-10606	762	8	j.	j.	PROPN
easat-10606	762	9	m.	m.	PROPN
easat-10606	762	10	nwankpa	nwankpa	PROPN
easat-10606	762	11	,	,	PUNCT
easat-10606	762	12	"	"	PUNCT
easat-10606	762	13	sentiment	sentiment	NOUN
easat-10606	762	14	analysis	analysis	NOUN
easat-10606	762	15	of	of	ADP
easat-10606	762	16	nigerian	nigerian	ADJ
easat-10606	762	17	students	student	NOUN
easat-10606	762	18	'	'	PART
easat-10606	762	19	tweets	tweet	NOUN
easat-10606	762	20	on	on	ADP
easat-10606	762	21	education	education	NOUN
easat-10606	762	22	:	:	PUNCT
easat-10606	762	23	a	a	DET
easat-10606	762	24	data	data	NOUN
easat-10606	762	25	mining	mining	NOUN
easat-10606	762	26	approach	approach	NOUN
easat-10606	762	27	'	'	PUNCT
easat-10606	762	28	,	,	PUNCT
easat-10606	762	29	"	"	PUNCT
easat-10606	762	30	international	international	ADJ
easat-10606	762	31	journal	journal	NOUN
easat-10606	762	32	of	of	ADP
easat-10606	762	33	computer	computer	NOUN
easat-10606	762	34	,	,	PUNCT
easat-10606	762	35	vol	vol	NOUN
easat-10606	762	36	.	.	PROPN
easat-10606	763	1	45	45	NUM
easat-10606	763	2	,	,	PUNCT
easat-10606	763	3	no	no	INTJ
easat-10606	763	4	.	.	NOUN
easat-10606	763	5	1	1	NUM
easat-10606	763	6	,	,	PUNCT
easat-10606	763	7	pp	pp	ADJ
easat-10606	763	8	.	.	PUNCT
easat-10606	764	1	1	1	NUM
easat-10606	764	2	-	-	SYM
easat-10606	764	3	27	27	NUM
easat-10606	764	4	,	,	PUNCT
easat-10606	764	5	2022	2022	NUM
easat-10606	764	6	.	.	PUNCT
easat-10606	765	1	[	[	X
easat-10606	765	2	14	14	NUM
easat-10606	765	3	]	]	PUNCT
easat-10606	765	4	p.	p.	PROPN
easat-10606	765	5	w.	w.	PROPN
easat-10606	765	6	foltz	foltz	PROPN
easat-10606	765	7	and	and	CCONJ
easat-10606	765	8	m.	m.	NOUN
easat-10606	765	9	rosenstein	rosenstein	NOUN
easat-10606	765	10	,	,	PUNCT
easat-10606	765	11	"	"	PUNCT
easat-10606	765	12	analysis	analysis	NOUN
easat-10606	765	13	of	of	ADP
easat-10606	765	14	a	a	DET
easat-10606	765	15	large	large	ADJ
easat-10606	765	16	-	-	PUNCT
easat-10606	765	17	scale	scale	NOUN
easat-10606	765	18	formative	formative	ADJ
easat-10606	765	19	writing	writing	NOUN
easat-10606	765	20	assessment	assessment	NOUN
easat-10606	765	21	system	system	NOUN
easat-10606	765	22	with	with	ADP
easat-10606	765	23	automated	automate	VERB
easat-10606	765	24	feedback	feedback	NOUN
easat-10606	765	25	,	,	PUNCT
easat-10606	765	26	"	"	PUNCT
easat-10606	765	27	in	in	ADP
easat-10606	765	28	proceedings	proceeding	NOUN
easat-10606	765	29	of	of	ADP
easat-10606	765	30	the	the	DET
easat-10606	765	31	second	second	ADJ
easat-10606	765	32	(	(	PUNCT
easat-10606	765	33	2015	2015	NUM
easat-10606	765	34	)	)	PUNCT
easat-10606	765	35	acm	acm	NOUN
easat-10606	765	36	conference	conference	NOUN
easat-10606	765	37	on	on	ADP
easat-10606	765	38	learning@	learning@	ADJ
easat-10606	765	39	scale	scale	NOUN
easat-10606	765	40	,	,	PUNCT
easat-10606	765	41	2015	2015	NUM
easat-10606	765	42	.	.	PUNCT
easat-10606	766	1	[	[	X
easat-10606	766	2	15	15	NUM
easat-10606	766	3	]	]	X
easat-10606	766	4	r.	r.	PROPN
easat-10606	766	5	menaha	menaha	PROPN
easat-10606	766	6	,	,	PUNCT
easat-10606	766	7	r.	r.	PROPN
easat-10606	766	8	dhanaranjani	dhanaranjani	PROPN
easat-10606	766	9	,	,	PUNCT
easat-10606	766	10	t.	t.	NOUN
easat-10606	766	11	rajalakshmi	rajalakshmi	NOUN
easat-10606	766	12	,	,	PUNCT
easat-10606	766	13	and	and	CCONJ
easat-10606	766	14	r.	r.	PROPN
easat-10606	766	15	yogarubini	yogarubini	PROPN
easat-10606	766	16	,	,	PUNCT
easat-10606	766	17	"	"	PUNCT
easat-10606	766	18	student	student	NOUN
easat-10606	766	19	feedback	feedback	NOUN
easat-10606	766	20	mining	mining	NOUN
easat-10606	766	21	system	system	NOUN
easat-10606	766	22	using	use	VERB
easat-10606	766	23	sentiment	sentiment	NOUN
easat-10606	766	24	analysis	analysis	NOUN
easat-10606	766	25	,	,	PUNCT
easat-10606	766	26	"	"	PUNCT
easat-10606	766	27	international	international	ADJ
easat-10606	766	28	journal	journal	NOUN
easat-10606	766	29	of	of	ADP
easat-10606	766	30	computer	computer	NOUN
easat-10606	766	31	application	application	NOUN
easat-10606	766	32	technology	technology	NOUN
easat-10606	766	33	and	and	CCONJ
easat-10606	766	34	research	research	NOUN
easat-10606	766	35	,	,	PUNCT
easat-10606	766	36	vol	vol	NOUN
easat-10606	766	37	.	.	PROPN
easat-10606	766	38	6	6	NUM
easat-10606	766	39	,	,	PUNCT
easat-10606	766	40	no	no	INTJ
easat-10606	766	41	.	.	NOUN
easat-10606	766	42	1	1	NUM
easat-10606	766	43	,	,	PUNCT
easat-10606	766	44	pp	pp	ADJ
easat-10606	766	45	.	.	PUNCT
easat-10606	767	1	1–69	1–69	PROPN
easat-10606	767	2	,	,	PUNCT
easat-10606	767	3	2017	2017	NUM
easat-10606	767	4	.	.	PUNCT
easat-10606	768	1	[	[	X
easat-10606	768	2	16	16	NUM
easat-10606	768	3	]	]	X
easat-10606	768	4	d.	d.	PROPN
easat-10606	768	5	d.	d.	PROPN
easat-10606	768	6	dsouza	dsouza	PROPN
easat-10606	768	7	,	,	PUNCT
easat-10606	768	8	d.	d.	PROPN
easat-10606	768	9	p.	p.	PROPN
easat-10606	768	10	n.	n.	PROPN
easat-10606	768	11	deepika	deepika	PROPN
easat-10606	768	12	,	,	PUNCT
easat-10606	768	13	e.	e.	PROPN
easat-10606	768	14	j.	j.	PROPN
easat-10606	768	15	machado	machado	PROPN
easat-10606	768	16	,	,	PUNCT
easat-10606	768	17	and	and	CCONJ
easat-10606	768	18	n.	n.	PROPN
easat-10606	768	19	adesh	adesh	NOUN
easat-10606	768	20	,	,	PUNCT
easat-10606	768	21	"	"	PUNCT
easat-10606	768	22	sentimental	sentimental	ADJ
easat-10606	768	23	analysis	analysis	NOUN
easat-10606	768	24	of	of	ADP
easat-10606	768	25	student	student	NOUN
easat-10606	768	26	feedback	feedback	NOUN
easat-10606	768	27	using	use	VERB
easat-10606	768	28	machine	machine	NOUN
easat-10606	768	29	learning	learning	NOUN
easat-10606	768	30	techniques	technique	NOUN
easat-10606	768	31	,	,	PUNCT
easat-10606	768	32	"	"	PUNCT
easat-10606	768	33	international	international	ADJ
easat-10606	768	34	journal	journal	NOUN
easat-10606	768	35	of	of	ADP
easat-10606	768	36	recent	recent	ADJ
easat-10606	768	37	technology	technology	NOUN
easat-10606	768	38	and	and	CCONJ
easat-10606	768	39	engineering	engineering	NOUN
easat-10606	768	40	,	,	PUNCT
easat-10606	768	41	vol	vol	NOUN
easat-10606	768	42	.	.	PROPN
easat-10606	768	43	8	8	NUM
easat-10606	768	44	,	,	PUNCT
easat-10606	768	45	no	no	INTJ
easat-10606	768	46	.	.	NOUN
easat-10606	768	47	14	14	NUM
easat-10606	768	48	,	,	PUNCT
easat-10606	768	49	pp	pp	ADJ
easat-10606	768	50	.	.	PUNCT
easat-10606	769	1	986	986	NUM
easat-10606	769	2	-	-	SYM
easat-10606	769	3	991	991	NUM
easat-10606	769	4	,	,	PUNCT
easat-10606	769	5	2019	2019	NUM
easat-10606	769	6	.	.	PUNCT
easat-10606	770	1	[	[	X
easat-10606	770	2	17	17	NUM
easat-10606	770	3	]	]	X
easat-10606	770	4	r.	r.	PROPN
easat-10606	770	5	sara	sara	PROPN
easat-10606	770	6	,	,	PUNCT
easat-10606	770	7	f.	f.	PROPN
easat-10606	770	8	fabbro	fabbro	PROPN
easat-10606	770	9	,	,	PUNCT
easat-10606	770	10	and	and	CCONJ
easat-10606	770	11	m.	m.	PROPN
easat-10606	770	12	eleonora	eleonora	PROPN
easat-10606	770	13	,	,	PUNCT
easat-10606	770	14	"	"	PUNCT
easat-10606	770	15	collective	collective	ADJ
easat-10606	770	16	feedback	feedback	NOUN
easat-10606	770	17	as	as	ADP
easat-10606	770	18	a	a	DET
easat-10606	770	19	formative	formative	ADJ
easat-10606	770	20	assessment	assessment	NOUN
easat-10606	770	21	practice	practice	NOUN
easat-10606	770	22	in	in	ADP
easat-10606	770	23	an	an	DET
easat-10606	770	24	e	e	NOUN
easat-10606	770	25	-	-	ADJ
easat-10606	770	26	learning	learning	ADJ
easat-10606	770	27	platform	platform	NOUN
easat-10606	770	28	for	for	ADP
easat-10606	770	29	teachers	teacher	NOUN
easat-10606	770	30	’	'	PUNCT
easat-10606	770	31	professional	professional	ADJ
easat-10606	770	32	development	development	NOUN
easat-10606	770	33	,	,	PUNCT
easat-10606	770	34	"	"	PUNCT
easat-10606	770	35	q	q	ADJ
easat-10606	770	36	-	-	PUNCT
easat-10606	770	37	times	times	NOUN
easat-10606	770	38	webmagazine	webmagazine	NOUN
easat-10606	770	39	,	,	PUNCT
easat-10606	770	40	vol	vol	NOUN
easat-10606	770	41	.	.	PROPN
easat-10606	770	42	2	2	NUM
easat-10606	770	43	,	,	PUNCT
easat-10606	770	44	no	no	INTJ
easat-10606	770	45	.	.	NOUN
easat-10606	770	46	1	1	NUM
easat-10606	770	47	,	,	PUNCT
easat-10606	770	48	pp	pp	ADJ
easat-10606	770	49	.	.	PUNCT
easat-10606	771	1	563	563	NUM
easat-10606	771	2	-	-	SYM
easat-10606	771	3	576	576	NUM
easat-10606	771	4	,	,	PUNCT
easat-10606	771	5	2023	2023	NUM
easat-10606	771	6	.	.	PUNCT
easat-10606	772	1	[	[	X
easat-10606	772	2	18	18	NUM
easat-10606	772	3	]	]	PUNCT
easat-10606	772	4	a.	a.	NOUN
easat-10606	772	5	i.	i.	PROPN
easat-10606	772	6	m.	m.	PROPN
easat-10606	772	7	elfeky	elfeky	PROPN
easat-10606	772	8	,	,	PUNCT
easat-10606	772	9	t.	t.	PROPN
easat-10606	772	10	s.	s.	PROPN
easat-10606	772	11	y.	y.	PROPN
easat-10606	772	12	masadeh	masadeh	PROPN
easat-10606	772	13	,	,	PUNCT
easat-10606	772	14	and	and	CCONJ
easat-10606	772	15	m.	m.	NOUN
easat-10606	772	16	y.	y.	PROPN
easat-10606	772	17	h.	h.	PROPN
easat-10606	772	18	elbyaly	elbyaly	PROPN
easat-10606	772	19	,	,	PUNCT
easat-10606	772	20	"	"	PUNCT
easat-10606	772	21	advance	advance	NOUN
easat-10606	772	22	organizers	organizer	NOUN
easat-10606	772	23	in	in	ADP
easat-10606	772	24	flipped	flip	VERB
easat-10606	772	25	classroom	classroom	NOUN
easat-10606	772	26	via	via	ADP
easat-10606	772	27	e	e	VERB
easat-10606	772	28	-	-	ADJ
easat-10606	772	29	learning	learn	VERB
easat-10606	772	30	management	management	NOUN
easat-10606	772	31	system	system	NOUN
easat-10606	772	32	and	and	CCONJ
easat-10606	772	33	the	the	DET
easat-10606	772	34	promotion	promotion	NOUN
easat-10606	772	35	of	of	ADP
easat-10606	772	36	integrated	integrate	VERB
easat-10606	772	37	science	science	NOUN
easat-10606	772	38	process	process	NOUN
easat-10606	772	39	skills	skill	NOUN
easat-10606	772	40	,	,	PUNCT
easat-10606	772	41	"	"	PUNCT
easat-10606	772	42	thinking	thinking	NOUN
easat-10606	772	43	skills	skill	NOUN
easat-10606	772	44	and	and	CCONJ
easat-10606	772	45	creativity	creativity	NOUN
easat-10606	772	46	,	,	PUNCT
easat-10606	772	47	vol	vol	NOUN
easat-10606	772	48	.	.	PROPN
easat-10606	772	49	35	35	NUM
easat-10606	772	50	,	,	PUNCT
easat-10606	772	51	p.	p.	NOUN
easat-10606	772	52	100622	100622	NUM
easat-10606	772	53	,	,	PUNCT
easat-10606	772	54	2020	2020	NUM
easat-10606	772	55	.	.	PUNCT
easat-10606	773	1	https://doi.org/10.1016/j.tsc.2019.100622	https://doi.org/10.1016/j.tsc.2019.100622	PUNCT
easat-10606	774	1	[	[	X
easat-10606	774	2	19	19	NUM
easat-10606	774	3	]	]	PUNCT
easat-10606	774	4	l.	l.	PROPN
easat-10606	774	5	mckinney	mckinney	PROPN
easat-10606	774	6	,	,	PUNCT
easat-10606	774	7	a.	a.	PROPN
easat-10606	774	8	b.	b.	PROPN
easat-10606	774	9	burridge	burridge	PROPN
easat-10606	774	10	,	,	PUNCT
easat-10606	774	11	m.	m.	PROPN
easat-10606	774	12	m.	m.	PROPN
easat-10606	774	13	lee	lee	PROPN
easat-10606	774	14	,	,	PUNCT
easat-10606	774	15	g.	g.	PROPN
easat-10606	774	16	v.	v.	ADP
easat-10606	774	17	bourdeau	bourdeau	PROPN
easat-10606	774	18	,	,	PUNCT
easat-10606	774	19	and	and	CCONJ
easat-10606	774	20	m.	m.	PROPN
easat-10606	774	21	miller	miller	PROPN
easat-10606	774	22	-	-	PUNCT
easat-10606	774	23	waters	waters	PROPN
easat-10606	774	24	,	,	PUNCT
easat-10606	774	25	"	"	PUNCT
easat-10606	774	26	incentivizing	incentivize	VERB
easat-10606	774	27	full	full	ADJ
easat-10606	774	28	-	-	PUNCT
easat-10606	774	29	time	time	NOUN
easat-10606	774	30	enrollment	enrollment	NOUN
easat-10606	774	31	at	at	ADP
easat-10606	774	32	community	community	NOUN
easat-10606	774	33	colleges	college	NOUN
easat-10606	774	34	:	:	PUNCT
easat-10606	774	35	what	what	PRON
easat-10606	774	36	influences	influence	VERB
easat-10606	774	37	students	student	NOUN
easat-10606	774	38	’	'	PUNCT
easat-10606	774	39	decision	decision	NOUN
easat-10606	774	40	to	to	PART
easat-10606	774	41	take	take	VERB
easat-10606	774	42	more	more	ADJ
easat-10606	774	43	courses	course	NOUN
easat-10606	774	44	?	?	PUNCT
easat-10606	774	45	,	,	PUNCT
easat-10606	774	46	"	"	PUNCT
easat-10606	774	47	community	community	NOUN
easat-10606	774	48	college	college	NOUN
easat-10606	774	49	review	review	PROPN
easat-10606	774	50	,	,	PUNCT
easat-10606	774	51	vol	vol	NOUN
easat-10606	774	52	.	.	PROPN
easat-10606	774	53	50	50	NUM
easat-10606	774	54	,	,	PUNCT
easat-10606	774	55	no	no	INTJ
easat-10606	774	56	.	.	NOUN
easat-10606	774	57	2	2	NUM
easat-10606	774	58	,	,	PUNCT
easat-10606	774	59	pp	pp	ADJ
easat-10606	774	60	.	.	PUNCT
easat-10606	775	1	144	144	NUM
easat-10606	775	2	-	-	SYM
easat-10606	775	3	170	170	NUM
easat-10606	775	4	,	,	PUNCT
easat-10606	775	5	2022	2022	NUM
easat-10606	775	6	.	.	PUNCT
easat-10606	776	1	https://doi.org/10.1177/00915521211061416	https://doi.org/10.1177/00915521211061416	NUM
easat-10606	777	1	[	[	X
easat-10606	777	2	20	20	NUM
easat-10606	777	3	]	]	PUNCT
easat-10606	777	4	x.	x.	PROPN
easat-10606	777	5	chen	chen	PROPN
easat-10606	777	6	,	,	PUNCT
easat-10606	777	7	g.	g.	PROPN
easat-10606	777	8	cheng	cheng	PROPN
easat-10606	777	9	,	,	PUNCT
easat-10606	777	10	f.	f.	PROPN
easat-10606	777	11	l.	l.	PROPN
easat-10606	777	12	wang	wang	PROPN
easat-10606	777	13	,	,	PUNCT
easat-10606	777	14	x.	x.	PROPN
easat-10606	777	15	tao	tao	PROPN
easat-10606	777	16	,	,	PUNCT
easat-10606	777	17	h.	h.	PROPN
easat-10606	777	18	xie	xie	PROPN
easat-10606	777	19	,	,	PUNCT
easat-10606	777	20	and	and	CCONJ
easat-10606	777	21	l.	l.	PROPN
easat-10606	777	22	xu	xu	PROPN
easat-10606	777	23	,	,	PUNCT
easat-10606	777	24	"	"	PUNCT
easat-10606	777	25	machine	machine	NOUN
easat-10606	777	26	and	and	CCONJ
easat-10606	777	27	cognitive	cognitive	ADJ
easat-10606	777	28	intelligence	intelligence	NOUN
easat-10606	777	29	for	for	ADP
easat-10606	777	30	human	human	ADJ
easat-10606	777	31	health	health	NOUN
easat-10606	777	32	:	:	PUNCT
easat-10606	777	33	systematic	systematic	ADJ
easat-10606	777	34	review	review	NOUN
easat-10606	777	35	,	,	PUNCT
easat-10606	777	36	"	"	PUNCT
easat-10606	777	37	brain	brain	NOUN
easat-10606	777	38	informatics	informatic	NOUN
easat-10606	777	39	,	,	PUNCT
easat-10606	777	40	vol	vol	NOUN
easat-10606	777	41	.	.	PROPN
easat-10606	777	42	9	9	NUM
easat-10606	777	43	,	,	PUNCT
easat-10606	777	44	p.	p.	NOUN
easat-10606	777	45	5	5	NUM
easat-10606	777	46	,	,	PUNCT
easat-10606	777	47	2022	2022	NUM
easat-10606	777	48	.	.	PUNCT
easat-10606	778	1	https://doi.org/10.1186/s40708-022-00153-9	https://doi.org/10.1186/s40708-022-00153-9	NUM
easat-10606	779	1	[	[	X
easat-10606	779	2	21	21	NUM
easat-10606	779	3	]	]	PUNCT
easat-10606	779	4	t.	t.	PROPN
easat-10606	779	5	shaik	shaik	PROPN
easat-10606	779	6	et	et	PROPN
easat-10606	779	7	al	al	PROPN
easat-10606	779	8	.	.	PROPN
easat-10606	779	9	,	,	PUNCT
easat-10606	779	10	"	"	PUNCT
easat-10606	779	11	a	a	DET
easat-10606	779	12	review	review	NOUN
easat-10606	779	13	of	of	ADP
easat-10606	779	14	the	the	DET
easat-10606	779	15	trends	trend	NOUN
easat-10606	779	16	and	and	CCONJ
easat-10606	779	17	challenges	challenge	NOUN
easat-10606	779	18	in	in	ADP
easat-10606	779	19	adopting	adopt	VERB
easat-10606	779	20	natural	natural	ADJ
easat-10606	779	21	language	language	NOUN
easat-10606	779	22	processing	processing	NOUN
easat-10606	779	23	methods	method	NOUN
easat-10606	779	24	for	for	ADP
easat-10606	779	25	education	education	NOUN
easat-10606	779	26	feedback	feedback	NOUN
easat-10606	779	27	analysis	analysis	NOUN
easat-10606	779	28	,	,	PUNCT
easat-10606	779	29	"	"	PUNCT
easat-10606	779	30	ieee	ieee	NOUN
easat-10606	779	31	access	access	NOUN
easat-10606	779	32	,	,	PUNCT
easat-10606	779	33	vol	vol	NOUN
easat-10606	779	34	.	.	PROPN
easat-10606	779	35	10	10	NUM
easat-10606	779	36	,	,	PUNCT
easat-10606	779	37	pp	pp	ADJ
easat-10606	779	38	.	.	PUNCT
easat-10606	779	39	56720	56720	NUM
easat-10606	779	40	-	-	SYM
easat-10606	779	41	56739	56739	NUM
easat-10606	779	42	,	,	PUNCT
easat-10606	779	43	2022	2022	NUM
easat-10606	779	44	.	.	PUNCT
easat-10606	780	1	https://doi.org/10.1109/access.2022.3177752	https://doi.org/10.1109/access.2022.3177752	PROPN
easat-10606	781	1	[	[	X
easat-10606	781	2	22	22	NUM
easat-10606	781	3	]	]	PUNCT
easat-10606	782	1	z.	z.	PROPN
easat-10606	782	2	kastrati	kastrati	PROPN
easat-10606	782	3	,	,	PUNCT
easat-10606	782	4	a.	a.	PROPN
easat-10606	782	5	s.	s.	PROPN
easat-10606	782	6	imran	imran	PROPN
easat-10606	782	7	,	,	PUNCT
easat-10606	782	8	and	and	CCONJ
easat-10606	782	9	a.	a.	NOUN
easat-10606	782	10	kurti	kurti	PROPN
easat-10606	782	11	,	,	PUNCT
easat-10606	782	12	"	"	PUNCT
easat-10606	782	13	weakly	weakly	ADV
easat-10606	782	14	supervised	supervised	ADJ
easat-10606	782	15	framework	framework	NOUN
easat-10606	782	16	for	for	ADP
easat-10606	782	17	aspect	aspect	NOUN
easat-10606	782	18	-	-	PUNCT
easat-10606	782	19	based	base	VERB
easat-10606	782	20	sentiment	sentiment	NOUN
easat-10606	782	21	analysis	analysis	NOUN
easat-10606	782	22	on	on	ADP
easat-10606	782	23	students	student	NOUN
easat-10606	782	24	’	'	PUNCT
easat-10606	782	25	reviews	review	NOUN
easat-10606	782	26	of	of	ADP
easat-10606	782	27	moocs	mooc	NOUN
easat-10606	782	28	,	,	PUNCT
easat-10606	782	29	"	"	PUNCT
easat-10606	782	30	ieee	ieee	NOUN
easat-10606	782	31	access	access	NOUN
easat-10606	782	32	,	,	PUNCT
easat-10606	782	33	vol	vol	NOUN
easat-10606	782	34	.	.	PROPN
easat-10606	782	35	8	8	NUM
easat-10606	782	36	,	,	PUNCT
easat-10606	782	37	pp	pp	ADJ
easat-10606	782	38	.	.	PUNCT
easat-10606	782	39	106799–106810	106799–106810	NUM
easat-10606	782	40	,	,	PUNCT
easat-10606	782	41	2020	2020	NUM
easat-10606	782	42	.	.	PUNCT
easat-10606	783	1	https://doi.org/10.1109/access.2020.3000739	https://doi.org/10.1109/access.2020.3000739	PROPN
easat-10606	783	2	[	[	X
easat-10606	783	3	23	23	NUM
easat-10606	783	4	]	]	X
easat-10606	783	5	d.	d.	PROPN
easat-10606	783	6	zimbra	zimbra	PROPN
easat-10606	783	7	,	,	PUNCT
easat-10606	783	8	h.	h.	PROPN
easat-10606	783	9	chen	chen	PROPN
easat-10606	783	10	,	,	PUNCT
easat-10606	783	11	and	and	CCONJ
easat-10606	783	12	r.	r.	PROPN
easat-10606	783	13	f.	f.	PROPN
easat-10606	783	14	lusch	lusch	PROPN
easat-10606	783	15	,	,	PUNCT
easat-10606	783	16	"	"	PUNCT
easat-10606	783	17	stakeholder	stakeholder	NOUN
easat-10606	783	18	analyses	analysis	NOUN
easat-10606	783	19	of	of	ADP
easat-10606	783	20	firm	firm	ADJ
easat-10606	783	21	-	-	PUNCT
easat-10606	783	22	related	relate	VERB
easat-10606	783	23	web	web	NOUN
easat-10606	783	24	forums	forum	NOUN
easat-10606	783	25	:	:	PUNCT
easat-10606	783	26	applications	application	NOUN
easat-10606	783	27	in	in	ADP
easat-10606	783	28	stock	stock	NOUN
easat-10606	783	29	return	return	NOUN
easat-10606	783	30	prediction	prediction	NOUN
easat-10606	783	31	,	,	PUNCT
easat-10606	783	32	"	"	PUNCT
easat-10606	783	33	acm	acm	NOUN
easat-10606	783	34	transactions	transaction	NOUN
easat-10606	783	35	on	on	ADP
easat-10606	783	36	management	management	NOUN
easat-10606	783	37	information	information	NOUN
easat-10606	783	38	systems	system	NOUN
easat-10606	783	39	,	,	PUNCT
easat-10606	783	40	vol	vol	NOUN
easat-10606	783	41	.	.	PROPN
easat-10606	783	42	6	6	NUM
easat-10606	783	43	,	,	PUNCT
easat-10606	783	44	no	no	INTJ
easat-10606	783	45	.	.	NOUN
easat-10606	783	46	1	1	NUM
easat-10606	783	47	,	,	PUNCT
easat-10606	783	48	pp	pp	ADJ
easat-10606	783	49	.	.	PUNCT
easat-10606	784	1	1	1	NUM
easat-10606	784	2	-	-	SYM
easat-10606	784	3	38	38	NUM
easat-10606	784	4	,	,	PUNCT
easat-10606	784	5	2015	2015	NUM
easat-10606	784	6	.	.	PUNCT
easat-10606	785	1	https://doi.org/10.1145/2675693	https://doi.org/10.1145/2675693	PROPN
easat-10606	786	1	[	[	X
easat-10606	786	2	24	24	NUM
easat-10606	786	3	]	]	PUNCT
easat-10606	786	4	c.	c.	PROPN
easat-10606	786	5	forman	forman	PROPN
easat-10606	786	6	,	,	PUNCT
easat-10606	786	7	a.	a.	PROPN
easat-10606	786	8	ghose	ghose	PROPN
easat-10606	786	9	,	,	PUNCT
easat-10606	786	10	and	and	CCONJ
easat-10606	786	11	b.	b.	PROPN
easat-10606	786	12	wiesenfeld	wiesenfeld	PROPN
easat-10606	786	13	,	,	PUNCT
easat-10606	786	14	"	"	PUNCT
easat-10606	786	15	examining	examine	VERB
easat-10606	786	16	the	the	DET
easat-10606	786	17	relationship	relationship	NOUN
easat-10606	786	18	between	between	ADP
easat-10606	786	19	reviews	review	NOUN
easat-10606	786	20	and	and	CCONJ
easat-10606	786	21	sales	sale	NOUN
easat-10606	786	22	:	:	PUNCT
easat-10606	786	23	the	the	DET
easat-10606	786	24	role	role	NOUN
easat-10606	786	25	of	of	ADP
easat-10606	786	26	reviewer	reviewer	NOUN
easat-10606	786	27	identity	identity	NOUN
easat-10606	786	28	disclosure	disclosure	NOUN
easat-10606	786	29	in	in	ADP
easat-10606	786	30	electronic	electronic	ADJ
easat-10606	786	31	markets	market	NOUN
easat-10606	786	32	,	,	PUNCT
easat-10606	786	33	"	"	PUNCT
easat-10606	786	34	information	information	NOUN
easat-10606	786	35	systems	system	NOUN
easat-10606	786	36	research	research	NOUN
easat-10606	786	37	,	,	PUNCT
easat-10606	786	38	vol	vol	NOUN
easat-10606	786	39	.	.	PROPN
easat-10606	786	40	19	19	NUM
easat-10606	786	41	,	,	PUNCT
easat-10606	786	42	no	no	INTJ
easat-10606	786	43	.	.	NOUN
easat-10606	786	44	3	3	NUM
easat-10606	786	45	,	,	PUNCT
easat-10606	786	46	pp	pp	ADJ
easat-10606	786	47	.	.	PUNCT
easat-10606	786	48	291	291	NUM
easat-10606	786	49	-	-	SYM
easat-10606	786	50	313	313	NUM
easat-10606	786	51	,	,	PUNCT
easat-10606	786	52	2008	2008	NUM
easat-10606	786	53	.	.	PUNCT
easat-10606	787	1	https://doi.org/10.1287/isre.1080.0193	https://doi.org/10.1287/isre.1080.0193	PROPN
easat-10606	788	1	[	[	X
easat-10606	788	2	25	25	NUM
easat-10606	788	3	]	]	PUNCT
easat-10606	788	4	a.	a.	NOUN
easat-10606	788	5	tumasjan	tumasjan	NOUN
easat-10606	788	6	,	,	PUNCT
easat-10606	788	7	t.	t.	NOUN
easat-10606	788	8	sprenger	sprenger	NOUN
easat-10606	788	9	,	,	PUNCT
easat-10606	788	10	p.	p.	NOUN
easat-10606	788	11	sandner	sandner	NOUN
easat-10606	788	12	,	,	PUNCT
easat-10606	788	13	and	and	CCONJ
easat-10606	788	14	i.	i.	PROPN
easat-10606	788	15	welpe	welpe	PROPN
easat-10606	788	16	,	,	PUNCT
easat-10606	788	17	"	"	PUNCT
easat-10606	788	18	predicting	predict	VERB
easat-10606	788	19	elections	election	NOUN
easat-10606	788	20	with	with	ADP
easat-10606	788	21	twitter	twitter	NOUN
easat-10606	788	22	:	:	PUNCT
easat-10606	788	23	what	what	PRON
easat-10606	788	24	140	140	NUM
easat-10606	788	25	characters	character	NOUN
easat-10606	788	26	reveal	reveal	VERB
easat-10606	788	27	about	about	ADP
easat-10606	788	28	political	political	ADJ
easat-10606	788	29	sentiment	sentiment	NOUN
easat-10606	788	30	,	,	PUNCT
easat-10606	788	31	"	"	PUNCT
easat-10606	788	32	in	in	ADP
easat-10606	788	33	proceedings	proceeding	NOUN
easat-10606	788	34	of	of	ADP
easat-10606	788	35	the	the	DET
easat-10606	788	36	international	international	ADJ
easat-10606	788	37	aaai	aaai	PROPN
easat-10606	788	38	conference	conference	PROPN
easat-10606	788	39	on	on	ADP
easat-10606	788	40	web	web	NOUN
easat-10606	788	41	and	and	CCONJ
easat-10606	788	42	social	social	ADJ
easat-10606	788	43	media	medium	NOUN
easat-10606	788	44	,	,	PUNCT
easat-10606	788	45	2010	2010	NUM
easat-10606	788	46	.	.	PUNCT
easat-10606	789	1	[	[	X
easat-10606	789	2	26	26	NUM
easat-10606	789	3	]	]	PUNCT
easat-10606	789	4	m.	m.	NOUN
easat-10606	789	5	bansal	bansal	PROPN
easat-10606	789	6	,	,	PUNCT
easat-10606	789	7	s.	s.	PROPN
easat-10606	789	8	verma	verma	PROPN
easat-10606	789	9	,	,	PUNCT
easat-10606	789	10	k.	k.	PROPN
easat-10606	789	11	vig	vig	PROPN
easat-10606	789	12	,	,	PUNCT
easat-10606	789	13	and	and	CCONJ
easat-10606	789	14	k.	k.	PROPN
easat-10606	789	15	kakran	kakran	PROPN
easat-10606	789	16	,	,	PUNCT
easat-10606	789	17	"	"	PUNCT
easat-10606	789	18	opinion	opinion	NOUN
easat-10606	789	19	mining	mining	NOUN
easat-10606	789	20	from	from	ADP
easat-10606	789	21	student	student	NOUN
easat-10606	789	22	feedback	feedback	NOUN
easat-10606	789	23	data	datum	NOUN
easat-10606	789	24	using	use	VERB
easat-10606	789	25	supervised	supervised	ADJ
easat-10606	789	26	learning	learning	NOUN
easat-10606	789	27	algorithms	algorithm	NOUN
easat-10606	789	28	,	,	PUNCT
easat-10606	789	29	"	"	PUNCT
easat-10606	789	30	in	in	ADP
easat-10606	789	31	international	international	ADJ
easat-10606	789	32	conference	conference	NOUN
easat-10606	789	33	on	on	ADP
easat-10606	789	34	image	image	NOUN
easat-10606	789	35	processing	processing	NOUN
easat-10606	789	36	and	and	CCONJ
easat-10606	789	37	capsule	capsule	NOUN
easat-10606	789	38	networks	network	NOUN
easat-10606	789	39	(	(	PUNCT
easat-10606	789	40	pp	pp	ADV
easat-10606	789	41	.	.	PUNCT
easat-10606	790	1	411	411	NUM
easat-10606	790	2	-	-	NUM
easat-10606	790	3	418	418	NUM
easat-10606	790	4	)	)	PUNCT
easat-10606	790	5	.	.	PUNCT
easat-10606	791	1	cham	cham	PROPN
easat-10606	791	2	:	:	PUNCT
easat-10606	791	3	springer	springer	NOUN
easat-10606	791	4	international	international	ADJ
easat-10606	791	5	publishing	publishing	NOUN
easat-10606	791	6	,	,	PUNCT
easat-10606	791	7	2022	2022	NUM
easat-10606	791	8	.	.	PUNCT
easat-10606	792	1	[	[	X
easat-10606	792	2	27	27	NUM
easat-10606	792	3	]	]	X
easat-10606	792	4	i.	i.	PROPN
easat-10606	792	5	sindhu	sindhu	PROPN
easat-10606	792	6	,	,	PUNCT
easat-10606	792	7	s.	s.	PROPN
easat-10606	792	8	m.	m.	PROPN
easat-10606	792	9	daudpota	daudpota	PROPN
easat-10606	792	10	,	,	PUNCT
easat-10606	792	11	k.	k.	PROPN
easat-10606	792	12	badar	badar	PROPN
easat-10606	792	13	,	,	PUNCT
easat-10606	792	14	m.	m.	NOUN
easat-10606	792	15	bakhtyar	bakhtyar	PROPN
easat-10606	792	16	,	,	PUNCT
easat-10606	792	17	j.	j.	PROPN
easat-10606	792	18	baber	baber	PROPN
easat-10606	792	19	,	,	PUNCT
easat-10606	792	20	and	and	CCONJ
easat-10606	792	21	m.	m.	NOUN
easat-10606	792	22	nurunnabi	nurunnabi	NOUN
easat-10606	792	23	,	,	PUNCT
easat-10606	792	24	"	"	PUNCT
easat-10606	792	25	aspect	aspect	NOUN
easat-10606	792	26	-	-	PUNCT
easat-10606	792	27	based	base	VERB
easat-10606	792	28	opinion	opinion	NOUN
easat-10606	792	29	mining	mining	NOUN
easat-10606	792	30	on	on	ADP
easat-10606	792	31	student	student	NOUN
easat-10606	792	32	’s	’s	PART
easat-10606	792	33	feedback	feedback	NOUN
easat-10606	792	34	for	for	ADP
easat-10606	792	35	faculty	faculty	NOUN
easat-10606	792	36	teaching	teaching	NOUN
easat-10606	792	37	performance	performance	NOUN
easat-10606	792	38	evaluation	evaluation	NOUN
easat-10606	792	39	,	,	PUNCT
easat-10606	792	40	"	"	PUNCT
easat-10606	792	41	ieee	ieee	NOUN
easat-10606	792	42	access	access	NOUN
easat-10606	792	43	,	,	PUNCT
easat-10606	792	44	vol	vol	NOUN
easat-10606	792	45	.	.	PROPN
easat-10606	792	46	7	7	NUM
easat-10606	792	47	,	,	PUNCT
easat-10606	792	48	pp	pp	ADJ
easat-10606	792	49	.	.	PUNCT
easat-10606	792	50	108729	108729	NUM
easat-10606	792	51	-	-	SYM
easat-10606	792	52	108741	108741	NUM
easat-10606	792	53	,	,	PUNCT
easat-10606	792	54	2019	2019	NUM
easat-10606	792	55	.	.	PUNCT
easat-10606	793	1	https://doi.org/10.1109/access.2019.2928872	https://doi.org/10.1109/access.2019.2928872	PROPN
easat-10606	794	1	[	[	X
easat-10606	794	2	28	28	NUM
easat-10606	794	3	]	]	X
easat-10606	794	4	n.	n.	PROPN
easat-10606	794	5	s.	s.	PROPN
easat-10606	794	6	sengar	sengar	PROPN
easat-10606	794	7	,	,	PUNCT
easat-10606	794	8	k.	k.	PROPN
easat-10606	794	9	chourey	chourey	PROPN
easat-10606	794	10	,	,	PUNCT
easat-10606	794	11	s.	s.	PROPN
easat-10606	794	12	bajaj	bajaj	PROPN
easat-10606	794	13	,	,	PUNCT
easat-10606	794	14	and	and	CCONJ
easat-10606	794	15	s.	s.	PROPN
easat-10606	794	16	abinayaa	abinayaa	PROPN
easat-10606	794	17	,	,	PUNCT
easat-10606	794	18	"	"	PUNCT
easat-10606	794	19	student	student	NOUN
easat-10606	794	20	feedback	feedback	NOUN
easat-10606	794	21	prediction	prediction	NOUN
easat-10606	794	22	using	use	VERB
easat-10606	794	23	machine	machine	NOUN
easat-10606	794	24	learning	learning	NOUN
easat-10606	794	25	,	,	PUNCT
easat-10606	794	26	"	"	PUNCT
easat-10606	794	27	international	international	ADJ
easat-10606	794	28	journal	journal	NOUN
easat-10606	794	29	of	of	ADP
easat-10606	794	30	advanced	advanced	ADJ
easat-10606	794	31	research	research	NOUN
easat-10606	794	32	,	,	PUNCT
easat-10606	794	33	ideas	idea	NOUN
easat-10606	794	34	and	and	CCONJ
easat-10606	794	35	innovations	innovation	NOUN
easat-10606	794	36	in	in	ADP
easat-10606	794	37	technology	technology	NOUN
easat-10606	794	38	,	,	PUNCT
easat-10606	794	39	vol	vol	NOUN
easat-10606	794	40	.	.	PROPN
easat-10606	794	41	2	2	NUM
easat-10606	794	42	,	,	PUNCT
easat-10606	794	43	no	no	INTJ
easat-10606	794	44	.	.	NOUN
easat-10606	794	45	5	5	NUM
easat-10606	794	46	,	,	PUNCT
easat-10606	794	47	pp	pp	ADJ
easat-10606	794	48	.	.	PUNCT
easat-10606	795	1	818–821	818–821	NUM
easat-10606	795	2	,	,	PUNCT
easat-10606	795	3	2019	2019	NUM
easat-10606	795	4	.	.	PUNCT
easat-10606	796	1	[	[	X
easat-10606	796	2	29	29	NUM
easat-10606	796	3	]	]	X
easat-10606	796	4	l.	l.	PROPN
easat-10606	796	5	amusa	amusa	PROPN
easat-10606	796	6	,	,	PUNCT
easat-10606	796	7	w.	w.	PROPN
easat-10606	796	8	yahya	yahya	PROPN
easat-10606	796	9	,	,	PUNCT
easat-10606	796	10	and	and	CCONJ
easat-10606	796	11	a.	a.	PROPN
easat-10606	796	12	o.	o.	PROPN
easat-10606	796	13	balogun	balogun	VERB
easat-10606	796	14	,	,	PUNCT
easat-10606	796	15	"	"	PUNCT
easat-10606	796	16	data	data	NOUN
easat-10606	796	17	mining	mining	NOUN
easat-10606	796	18	of	of	ADP
easat-10606	796	19	nigerian	nigerian	PROPN
easat-10606	796	20	’s	’s	PART
easat-10606	796	21	sentiments	sentiment	NOUN
easat-10606	796	22	on	on	ADP
easat-10606	796	23	the	the	DET
easat-10606	796	24	administration	administration	NOUN
easat-10606	796	25	of	of	ADP
easat-10606	796	26	federal	federal	ADJ
easat-10606	796	27	government	government	NOUN
easat-10606	796	28	of	of	ADP
easat-10606	796	29	nigeria	nigeria	PROPN
easat-10606	796	30	,	,	PUNCT
easat-10606	796	31	"	"	PUNCT
easat-10606	796	32	annals	annal	NOUN
easat-10606	796	33	.	.	PUNCT
easat-10606	797	1	computer	computer	NOUN
easat-10606	797	2	science	science	NOUN
easat-10606	797	3	series	series	PROPN
easat-10606	797	4	,	,	PUNCT
easat-10606	797	5	vol	vol	NOUN
easat-10606	797	6	.	.	PROPN
easat-10606	797	7	14	14	NUM
easat-10606	797	8	,	,	PUNCT
easat-10606	797	9	no	no	INTJ
easat-10606	797	10	.	.	NOUN
easat-10606	797	11	2	2	NUM
easat-10606	797	12	,	,	PUNCT
easat-10606	797	13	pp	pp	ADJ
easat-10606	797	14	.	.	PUNCT
easat-10606	798	1	69	69	NUM
easat-10606	798	2	-	-	SYM
easat-10606	798	3	75	75	NUM
easat-10606	798	4	,	,	PUNCT
easat-10606	798	5	2016	2016	NUM
easat-10606	798	6	.	.	PUNCT
easat-10606	799	1	[	[	X
easat-10606	799	2	30	30	NUM
easat-10606	799	3	]	]	X
easat-10606	799	4	b.	b.	PROPN
easat-10606	799	5	ngwira	ngwira	PROPN
easat-10606	799	6	,	,	PUNCT
easat-10606	799	7	b.	b.	PROPN
easat-10606	799	8	gobin	gobin	PROPN
easat-10606	799	9	-	-	PUNCT
easat-10606	799	10	rahimbux	rahimbux	NOUN
easat-10606	799	11	,	,	PUNCT
easat-10606	799	12	and	and	CCONJ
easat-10606	799	13	n.	n.	PROPN
easat-10606	799	14	g.	g.	PROPN
easat-10606	799	15	sahib	sahib	NOUN
easat-10606	799	16	,	,	PUNCT
easat-10606	799	17	"	"	PUNCT
easat-10606	799	18	a	a	DET
easat-10606	799	19	deep‐learning	deep‐learne	VERB
easat-10606	799	20	framework	framework	NOUN
easat-10606	799	21	for	for	ADP
easat-10606	799	22	analysing	analyse	VERB
easat-10606	799	23	students	student	NOUN
easat-10606	799	24	’	'	PUNCT
easat-10606	799	25	review	review	NOUN
easat-10606	799	26	in	in	ADP
easat-10606	799	27	higher	high	ADJ
easat-10606	799	28	education	education	NOUN
easat-10606	799	29	,	,	PUNCT
easat-10606	799	30	"	"	PUNCT
easat-10606	799	31	computational	computational	ADJ
easat-10606	799	32	intelligence	intelligence	NOUN
easat-10606	799	33	and	and	CCONJ
easat-10606	799	34	neuroscience	neuroscience	NOUN
easat-10606	799	35	,	,	PUNCT
easat-10606	799	36	vol	vol	NOUN
easat-10606	799	37	.	.	PUNCT
easat-10606	799	38	2023	2023	NUM
easat-10606	799	39	,	,	PUNCT
easat-10606	799	40	no	no	INTJ
easat-10606	799	41	.	.	NOUN
easat-10606	799	42	1	1	NUM
easat-10606	799	43	,	,	PUNCT
easat-10606	799	44	p.	p.	NOUN
easat-10606	799	45	8462575	8462575	NUM
easat-10606	799	46	,	,	PUNCT
easat-10606	799	47	2023	2023	NUM
easat-10606	799	48	.	.	PUNCT
easat-10606	800	1	https://doi.org/10.1155/2023/8462575	https://doi.org/10.1155/2023/8462575	PROPN
easat-10606	800	2	[	[	X
easat-10606	800	3	31	31	NUM
easat-10606	800	4	]	]	PUNCT
easat-10606	800	5	t.	t.	PROPN
easat-10606	800	6	w.	w.	PROPN
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easat-10606	800	8	and	and	CCONJ
easat-10606	800	9	d.	d.	PROPN
easat-10606	800	10	o.	o.	PROPN
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easat-10606	800	12	,	,	PUNCT
easat-10606	800	13	machine	machine	NOUN
easat-10606	800	14	learning	learning	NOUN
easat-10606	800	15	.	.	PUNCT
easat-10606	801	1	in	in	ADP
easat-10606	801	2	t.	t.	PROPN
easat-10606	801	3	w.	w.	PROPN
easat-10606	801	4	edgar	edgar	PROPN
easat-10606	801	5	&	&	CCONJ
easat-10606	801	6	d.	d.	PROPN
easat-10606	801	7	o.	o.	PROPN
easat-10606	801	8	manz	manz	PROPN
easat-10606	801	9	(	(	PUNCT
easat-10606	801	10	eds	ed	NOUN
easat-10606	801	11	.	.	PUNCT
easat-10606	801	12	)	)	PUNCT
easat-10606	801	13	,	,	PUNCT
easat-10606	801	14	research	research	NOUN
easat-10606	801	15	methods	method	NOUN
easat-10606	801	16	for	for	ADP
easat-10606	801	17	cybersecurity	cybersecurity	NOUN
easat-10606	801	18	.	.	PUNCT
easat-10606	802	1	amsterdam	amsterdam	PROPN
easat-10606	802	2	,	,	PUNCT
easat-10606	802	3	netherlands	netherlands	PROPN
easat-10606	802	4	:	:	PUNCT
easat-10606	802	5	elsevier	elsevier	NOUN
easat-10606	802	6	,	,	PUNCT
easat-10606	802	7	2017	2017	NUM
easat-10606	802	8	.	.	PUNCT
easat-10606	803	1	[	[	X
easat-10606	803	2	32	32	NUM
easat-10606	803	3	]	]	PUNCT
easat-10606	803	4	m.	m.	NOUN
easat-10606	803	5	hammad	hammad	PROPN
easat-10606	803	6	,	,	PUNCT
easat-10606	803	7	a.	a.	PROPN
easat-10606	803	8	m.	m.	PROPN
easat-10606	803	9	iliyasu	iliyasu	PROPN
easat-10606	803	10	,	,	PUNCT
easat-10606	803	11	a.	a.	NOUN
easat-10606	803	12	subasi	subasi	PROPN
easat-10606	803	13	,	,	PUNCT
easat-10606	803	14	e.	e.	PROPN
easat-10606	803	15	s.	s.	PROPN
easat-10606	803	16	ho	ho	PROPN
easat-10606	803	17	,	,	PUNCT
easat-10606	803	18	and	and	CCONJ
easat-10606	803	19	a.	a.	NOUN
easat-10606	803	20	a.	a.	PROPN
easat-10606	803	21	abd	abd	PROPN
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easat-10606	803	25	,	,	PUNCT
easat-10606	803	26	"	"	PUNCT
easat-10606	803	27	a	a	DET
easat-10606	803	28	multitier	multitier	ADJ
easat-10606	803	29	deep	deep	ADJ
easat-10606	803	30	learning	learning	NOUN
easat-10606	803	31	model	model	NOUN
easat-10606	803	32	for	for	ADP
easat-10606	803	33	arrhythmia	arrhythmia	NOUN
easat-10606	803	34	detection	detection	NOUN
easat-10606	803	35	,	,	PUNCT
easat-10606	803	36	"	"	PUNCT
easat-10606	803	37	ieee	ieee	NOUN
easat-10606	803	38	transactions	transaction	NOUN
easat-10606	803	39	on	on	ADP
easat-10606	803	40	instrumentation	instrumentation	NOUN
easat-10606	803	41	and	and	CCONJ
easat-10606	803	42	measurement	measurement	NOUN
easat-10606	803	43	,	,	PUNCT
easat-10606	803	44	vol	vol	NOUN
easat-10606	803	45	.	.	PROPN
easat-10606	803	46	70	70	NUM
easat-10606	803	47	,	,	PUNCT
easat-10606	803	48	pp	pp	ADJ
easat-10606	803	49	.	.	PUNCT
easat-10606	804	1	1	1	NUM
easat-10606	804	2	-	-	SYM
easat-10606	804	3	9	9	NUM
easat-10606	804	4	,	,	PUNCT
easat-10606	804	5	2020	2020	NUM
easat-10606	804	6	.	.	PUNCT
easat-10606	805	1	[	[	X
easat-10606	805	2	33	33	NUM
easat-10606	805	3	]	]	X
easat-10606	805	4	w.	w.	PROPN
easat-10606	805	5	medhat	medhat	PROPN
easat-10606	805	6	,	,	PUNCT
easat-10606	805	7	a.	a.	PROPN
easat-10606	805	8	hassan	hassan	PROPN
easat-10606	805	9	,	,	PUNCT
easat-10606	805	10	and	and	CCONJ
easat-10606	805	11	h.	h.	PROPN
easat-10606	805	12	korashy	korashy	PROPN
easat-10606	805	13	,	,	PUNCT
easat-10606	805	14	"	"	PUNCT
easat-10606	805	15	sentiment	sentiment	NOUN
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easat-10606	805	17	algorithms	algorithm	NOUN
easat-10606	805	18	and	and	CCONJ
easat-10606	805	19	applications	application	NOUN
easat-10606	805	20	:	:	PUNCT
easat-10606	805	21	a	a	DET
easat-10606	805	22	survey	survey	NOUN
easat-10606	805	23	,	,	PUNCT
easat-10606	805	24	"	"	PUNCT
easat-10606	805	25	ain	ain	PROPN
easat-10606	805	26	shams	sham	NOUN
easat-10606	805	27	engineering	engineering	NOUN
easat-10606	805	28	journal	journal	NOUN
easat-10606	805	29	,	,	PUNCT
easat-10606	805	30	vol	vol	NOUN
easat-10606	805	31	.	.	PROPN
easat-10606	805	32	5	5	NUM
easat-10606	805	33	,	,	PUNCT
easat-10606	805	34	no	no	INTJ
easat-10606	805	35	.	.	NOUN
easat-10606	805	36	4	4	NUM
easat-10606	805	37	,	,	PUNCT
easat-10606	805	38	pp	pp	ADJ
easat-10606	805	39	.	.	PUNCT
easat-10606	805	40	1093	1093	NUM
easat-10606	805	41	-	-	SYM
easat-10606	805	42	1113	1113	NUM
easat-10606	805	43	,	,	PUNCT
easat-10606	805	44	2014	2014	NUM
easat-10606	805	45	.	.	PUNCT
easat-10606	806	1	https://doi.org/10.1016/j.asej.2014.04.011	https://doi.org/10.1016/j.asej.2014.04.011	NOUN
easat-10606	806	2	[	[	X
easat-10606	806	3	34	34	NUM
easat-10606	806	4	]	]	X
easat-10606	806	5	s.	s.	PROPN
easat-10606	806	6	bhavitha	bhavitha	PROPN
easat-10606	806	7	,	,	PUNCT
easat-10606	806	8	k.	k.	PROPN
easat-10606	806	9	g.	g.	PROPN
easat-10606	806	10	srinivasa	srinivasa	PROPN
easat-10606	806	11	,	,	PUNCT
easat-10606	806	12	and	and	CCONJ
easat-10606	806	13	s.	s.	PROPN
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easat-10606	806	15	,	,	PUNCT
easat-10606	806	16	"	"	PUNCT
easat-10606	806	17	sentiment	sentiment	NOUN
easat-10606	806	18	analysis	analysis	NOUN
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easat-10606	806	21	student	student	NOUN
easat-10606	806	22	feedback	feedback	NOUN
easat-10606	806	23	,	,	PUNCT
easat-10606	806	24	"	"	PUNCT
easat-10606	806	25	international	international	ADJ
easat-10606	806	26	journal	journal	NOUN
easat-10606	806	27	of	of	ADP
easat-10606	806	28	computer	computer	NOUN
easat-10606	806	29	applications	application	NOUN
easat-10606	806	30	,	,	PUNCT
easat-10606	806	31	vol	vol	NOUN
easat-10606	806	32	.	.	PROPN
easat-10606	806	33	168	168	NUM
easat-10606	806	34	,	,	PUNCT
easat-10606	806	35	no	no	INTJ
easat-10606	806	36	.	.	NOUN
easat-10606	806	37	12	12	NUM
easat-10606	806	38	,	,	PUNCT
easat-10606	806	39	pp	pp	ADJ
easat-10606	806	40	.	.	PUNCT
easat-10606	807	1	31–36	31–36	NUM
easat-10606	807	2	,	,	PUNCT
easat-10606	807	3	2017	2017	NUM
easat-10606	807	4	.	.	PUNCT
easat-10606	808	1	https://doi.org/10.1080/0969594970040304	https://doi.org/10.1080/0969594970040304	NOUN
easat-10606	808	2	https://doi.org/10.1080/03043790902829281	https://doi.org/10.1080/03043790902829281	NOUN
easat-10606	808	3	https://doi.org/10.1016/j.tsc.2019.100622	https://doi.org/10.1016/j.tsc.2019.100622	PUNCT
easat-10606	809	1	https://doi.org/10.1177/00915521211061416	https://doi.org/10.1177/00915521211061416	NUM
easat-10606	809	2	https://doi.org/10.1186/s40708-022-00153-9	https://doi.org/10.1186/s40708-022-00153-9	NUM
easat-10606	809	3	https://doi.org/10.1109/access.2022.3177752	https://doi.org/10.1109/access.2022.3177752	PROPN
easat-10606	810	1	https://doi.org/10.1109/access.2020.3000739	https://doi.org/10.1109/access.2020.3000739	PROPN
easat-10606	810	2	https://doi.org/10.1145/2675693	https://doi.org/10.1145/2675693	PRON
easat-10606	810	3	https://doi.org/10.1287/isre.1080.0193	https://doi.org/10.1287/isre.1080.0193	PROPN
easat-10606	810	4	https://doi.org/10.1109/access.2019.2928872	https://doi.org/10.1109/access.2019.2928872	PROPN
easat-10606	810	5	https://doi.org/10.1155/2023/8462575	https://doi.org/10.1155/2023/8462575	PROPN
easat-10606	810	6	https://doi.org/10.1016/j.asej.2014.04.011	https://doi.org/10.1016/j.asej.2014.04.011	PROPN
easat-10606	810	7	1178	1178	NUM
easat-10606	810	8	edelweiss	edelweiss	PROPN
easat-10606	810	9	applied	apply	VERB
easat-10606	810	10	science	science	NOUN
easat-10606	810	11	and	and	CCONJ
easat-10606	810	12	technology	technology	NOUN
easat-10606	810	13	issn	issn	PROPN
easat-10606	810	14	:	:	PUNCT
easat-10606	810	15	2576	2576	NUM
easat-10606	810	16	-	-	SYM
easat-10606	810	17	8484	8484	NUM
easat-10606	810	18	vol	vol	NOUN
easat-10606	810	19	.	.	PROPN
easat-10606	811	1	9	9	NUM
easat-10606	811	2	,	,	PUNCT
easat-10606	811	3	no	no	INTJ
easat-10606	811	4	.	.	NOUN
easat-10606	811	5	10	10	NUM
easat-10606	811	6	:	:	SYM
easat-10606	811	7	1149	1149	NUM
easat-10606	811	8	-	-	SYM
easat-10606	811	9	1180	1180	NUM
easat-10606	811	10	,	,	PUNCT
easat-10606	811	11	2025	2025	NUM
easat-10606	811	12	doi	doi	NOUN
easat-10606	811	13	:	:	PUNCT
easat-10606	811	14	10.55214/2576	10.55214/2576	NUM
easat-10606	811	15	-	-	SYM
easat-10606	811	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	811	17	©	©	ADP
easat-10606	811	18	2025	2025	NUM
easat-10606	811	19	by	by	ADP
easat-10606	811	20	the	the	DET
easat-10606	811	21	authors	author	NOUN
easat-10606	811	22	;	;	PUNCT
easat-10606	811	23	licensee	licensee	PROPN
easat-10606	811	24	learning	learning	NOUN
easat-10606	811	25	gate	gate	NOUN
easat-10606	812	1	[	[	X
easat-10606	812	2	35	35	NUM
easat-10606	812	3	]	]	PUNCT
easat-10606	812	4	m.	m.	NOUN
easat-10606	812	5	a.	a.	PROPN
easat-10606	812	6	qureshi	qureshi	PROPN
easat-10606	812	7	et	et	PROPN
easat-10606	812	8	al	al	PROPN
easat-10606	812	9	.	.	PROPN
easat-10606	812	10	,	,	PUNCT
easat-10606	812	11	"	"	PUNCT
easat-10606	812	12	sentiment	sentiment	NOUN
easat-10606	812	13	analysis	analysis	NOUN
easat-10606	812	14	of	of	ADP
easat-10606	812	15	reviews	review	NOUN
easat-10606	812	16	in	in	ADP
easat-10606	812	17	natural	natural	ADJ
easat-10606	812	18	language	language	NOUN
easat-10606	812	19	:	:	PUNCT
easat-10606	812	20	roman	roman	PROPN
easat-10606	812	21	urdu	urdu	PROPN
easat-10606	812	22	as	as	ADP
easat-10606	812	23	a	a	DET
easat-10606	812	24	case	case	NOUN
easat-10606	812	25	study	study	NOUN
easat-10606	812	26	,	,	PUNCT
easat-10606	812	27	"	"	PUNCT
easat-10606	812	28	ieee	ieee	NOUN
easat-10606	812	29	access	access	NOUN
easat-10606	812	30	,	,	PUNCT
easat-10606	812	31	vol	vol	NOUN
easat-10606	812	32	.	.	PROPN
easat-10606	812	33	10	10	NUM
easat-10606	812	34	,	,	PUNCT
easat-10606	812	35	pp	pp	ADJ
easat-10606	812	36	.	.	PUNCT
easat-10606	813	1	24945	24945	NUM
easat-10606	813	2	-	-	SYM
easat-10606	813	3	24954	24954	NUM
easat-10606	813	4	,	,	PUNCT
easat-10606	813	5	2022	2022	NUM
easat-10606	813	6	.	.	PUNCT
easat-10606	814	1	https://doi.org/10.1109/access.2022.3150172	https://doi.org/10.1109/access.2022.3150172	PROPN
easat-10606	814	2	[	[	X
easat-10606	814	3	36	36	NUM
easat-10606	814	4	]	]	X
easat-10606	814	5	i.	i.	PROPN
easat-10606	814	6	portugal	portugal	PROPN
easat-10606	814	7	,	,	PUNCT
easat-10606	814	8	p.	p.	PROPN
easat-10606	814	9	alencar	alencar	PROPN
easat-10606	814	10	,	,	PUNCT
easat-10606	814	11	and	and	CCONJ
easat-10606	814	12	d.	d.	PROPN
easat-10606	814	13	cowan	cowan	PROPN
easat-10606	814	14	,	,	PUNCT
easat-10606	814	15	"	"	PUNCT
easat-10606	814	16	the	the	DET
easat-10606	814	17	use	use	NOUN
easat-10606	814	18	of	of	ADP
easat-10606	814	19	machine	machine	NOUN
easat-10606	814	20	learning	learn	VERB
easat-10606	814	21	algorithms	algorithm	NOUN
easat-10606	814	22	in	in	ADP
easat-10606	814	23	recommender	recommender	NOUN
easat-10606	814	24	systems	system	NOUN
easat-10606	814	25	:	:	PUNCT
easat-10606	814	26	a	a	DET
easat-10606	814	27	systematic	systematic	ADJ
easat-10606	814	28	review	review	NOUN
easat-10606	814	29	,	,	PUNCT
easat-10606	814	30	"	"	PUNCT
easat-10606	814	31	expert	expert	NOUN
easat-10606	814	32	systems	system	NOUN
easat-10606	814	33	with	with	ADP
easat-10606	814	34	applications	application	NOUN
easat-10606	814	35	,	,	PUNCT
easat-10606	814	36	vol	vol	NOUN
easat-10606	814	37	.	.	PROPN
easat-10606	814	38	97	97	NUM
easat-10606	814	39	,	,	PUNCT
easat-10606	814	40	pp	pp	ADJ
easat-10606	814	41	.	.	PUNCT
easat-10606	815	1	205	205	NUM
easat-10606	815	2	-	-	SYM
easat-10606	815	3	227	227	NUM
easat-10606	815	4	,	,	PUNCT
easat-10606	815	5	2018	2018	NUM
easat-10606	815	6	.	.	PUNCT
easat-10606	816	1	https://doi.org/10.1016/j.eswa.2017.12.020	https://doi.org/10.1016/j.eswa.2017.12.020	NOUN
easat-10606	816	2	[	[	X
easat-10606	816	3	37	37	NUM
easat-10606	816	4	]	]	X
easat-10606	816	5	y.	y.	PROPN
easat-10606	816	6	reddy	reddy	PROPN
easat-10606	816	7	,	,	PUNCT
easat-10606	816	8	p.	p.	NOUN
easat-10606	816	9	viswanath	viswanath	PROPN
easat-10606	816	10	,	,	PUNCT
easat-10606	816	11	and	and	CCONJ
easat-10606	816	12	b.	b.	PROPN
easat-10606	816	13	e.	e.	PROPN
easat-10606	816	14	reddy	reddy	PROPN
easat-10606	816	15	,	,	PUNCT
easat-10606	816	16	"	"	PUNCT
easat-10606	816	17	semi	semi	ADJ
easat-10606	816	18	-	-	ADJ
easat-10606	816	19	supervised	supervised	ADJ
easat-10606	816	20	learning	learning	NOUN
easat-10606	816	21	:	:	PUNCT
easat-10606	816	22	a	a	DET
easat-10606	816	23	brief	brief	ADJ
easat-10606	816	24	review	review	NOUN
easat-10606	816	25	,	,	PUNCT
easat-10606	816	26	"	"	PUNCT
easat-10606	816	27	international	international	ADJ
easat-10606	816	28	journal	journal	NOUN
easat-10606	816	29	of	of	ADP
easat-10606	816	30	engineering	engineering	NOUN
easat-10606	816	31	technology	technology	NOUN
easat-10606	816	32	,	,	PUNCT
easat-10606	816	33	vol	vol	NOUN
easat-10606	816	34	.	.	PROPN
easat-10606	816	35	7	7	NUM
easat-10606	816	36	,	,	PUNCT
easat-10606	816	37	no	no	INTJ
easat-10606	816	38	.	.	NOUN
easat-10606	816	39	1.8	1.8	NUM
easat-10606	816	40	,	,	PUNCT
easat-10606	816	41	pp	pp	ADJ
easat-10606	816	42	.	.	PUNCT
easat-10606	817	1	81	81	NUM
easat-10606	817	2	-	-	SYM
easat-10606	817	3	85	85	NUM
easat-10606	817	4	,	,	PUNCT
easat-10606	817	5	2018	2018	NUM
easat-10606	817	6	.	.	PUNCT
easat-10606	818	1	[	[	X
easat-10606	818	2	38	38	NUM
easat-10606	818	3	]	]	PUNCT
easat-10606	818	4	a.	a.	PROPN
easat-10606	818	5	d.	d.	PROPN
easat-10606	818	6	vergaray	vergaray	PROPN
easat-10606	818	7	,	,	PUNCT
easat-10606	818	8	j.	j.	PROPN
easat-10606	818	9	c.	c.	PROPN
easat-10606	818	10	h.	h.	PROPN
easat-10606	818	11	miranda	miranda	PROPN
easat-10606	818	12	,	,	PUNCT
easat-10606	818	13	j.	j.	PROPN
easat-10606	818	14	b.	b.	PROPN
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easat-10606	818	16	,	,	PUNCT
easat-10606	818	17	a.	a.	PROPN
easat-10606	818	18	r.	r.	PROPN
easat-10606	818	19	l.	l.	PROPN
easat-10606	818	20	carranza	carranza	PROPN
easat-10606	818	21	,	,	PUNCT
easat-10606	818	22	and	and	CCONJ
easat-10606	818	23	c.	c.	PROPN
easat-10606	818	24	f.	f.	PROPN
easat-10606	818	25	p.	p.	PROPN
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easat-10606	818	27	,	,	PUNCT
easat-10606	818	28	"	"	PUNCT
easat-10606	818	29	predicting	predict	VERB
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easat-10606	818	31	depression	depression	NOUN
easat-10606	818	32	in	in	ADP
easat-10606	818	33	university	university	NOUN
easat-10606	818	34	students	student	NOUN
easat-10606	818	35	using	use	VERB
easat-10606	818	36	stacking	stack	VERB
easat-10606	818	37	ensemble	ensemble	ADJ
easat-10606	818	38	techniques	technique	NOUN
easat-10606	818	39	over	over	ADP
easat-10606	818	40	oversampling	oversample	VERB
easat-10606	818	41	method	method	NOUN
easat-10606	818	42	,	,	PUNCT
easat-10606	818	43	"	"	PUNCT
easat-10606	818	44	informatics	informatic	NOUN
easat-10606	818	45	in	in	ADP
easat-10606	818	46	medicine	medicine	NOUN
easat-10606	818	47	unlocked	unlock	VERB
easat-10606	818	48	,	,	PUNCT
easat-10606	818	49	vol	vol	NOUN
easat-10606	818	50	.	.	PROPN
easat-10606	818	51	41	41	NUM
easat-10606	818	52	,	,	PUNCT
easat-10606	818	53	p.	p.	NOUN
easat-10606	818	54	101295	101295	NUM
easat-10606	818	55	,	,	PUNCT
easat-10606	818	56	2023	2023	NUM
easat-10606	818	57	.	.	PUNCT
easat-10606	818	58	https://doi.org/10.1016/j.imu.2023.101295	https://doi.org/10.1016/j.imu.2023.101295	PROPN
easat-10606	819	1	[	[	X
easat-10606	819	2	39	39	NUM
easat-10606	819	3	]	]	PUNCT
easat-10606	819	4	a.	a.	NOUN
easat-10606	819	5	barham	barham	PROPN
easat-10606	819	6	,	,	PUNCT
easat-10606	819	7	m.	m.	PROPN
easat-10606	819	8	s.	s.	PROPN
easat-10606	819	9	ismail	ismail	PROPN
easat-10606	819	10	,	,	PUNCT
easat-10606	819	11	m.	m.	PROPN
easat-10606	819	12	hermana	hermana	PROPN
easat-10606	819	13	,	,	PUNCT
easat-10606	819	14	e.	e.	PROPN
easat-10606	819	15	padmanabhan	padmanabhan	PROPN
easat-10606	819	16	,	,	PUNCT
easat-10606	819	17	y.	y.	PROPN
easat-10606	819	18	baashar	baashar	PROPN
easat-10606	819	19	,	,	PUNCT
easat-10606	819	20	and	and	CCONJ
easat-10606	819	21	o.	o.	PROPN
easat-10606	819	22	sabir	sabir	PROPN
easat-10606	819	23	,	,	PUNCT
easat-10606	819	24	"	"	PUNCT
easat-10606	819	25	predicting	predict	VERB
easat-10606	819	26	the	the	DET
easat-10606	819	27	maturity	maturity	NOUN
easat-10606	819	28	and	and	CCONJ
easat-10606	819	29	organic	organic	ADJ
easat-10606	819	30	richness	richness	NOUN
easat-10606	819	31	using	use	VERB
easat-10606	819	32	artificial	artificial	ADJ
easat-10606	819	33	neural	neural	ADJ
easat-10606	819	34	networks	network	NOUN
easat-10606	819	35	(	(	PUNCT
easat-10606	819	36	anns	anns	PROPN
easat-10606	819	37	):	):	PUNCT
easat-10606	819	38	a	a	DET
easat-10606	819	39	case	case	NOUN
easat-10606	819	40	study	study	NOUN
easat-10606	819	41	of	of	ADP
easat-10606	819	42	montney	montney	ADJ
easat-10606	819	43	formation	formation	NOUN
easat-10606	819	44	,	,	PUNCT
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easat-10606	819	47	columbia	columbia	PROPN
easat-10606	819	48	,	,	PUNCT
easat-10606	819	49	canada	canada	PROPN
easat-10606	819	50	,	,	PUNCT
easat-10606	819	51	"	"	PUNCT
easat-10606	819	52	alexandria	alexandria	PROPN
easat-10606	819	53	engineering	engineering	PROPN
easat-10606	819	54	journal	journal	PROPN
easat-10606	819	55	,	,	PUNCT
easat-10606	819	56	vol	vol	NOUN
easat-10606	819	57	.	.	PROPN
easat-10606	819	58	60	60	NUM
easat-10606	819	59	,	,	PUNCT
easat-10606	819	60	no	no	INTJ
easat-10606	819	61	.	.	NOUN
easat-10606	819	62	3	3	NUM
easat-10606	819	63	,	,	PUNCT
easat-10606	819	64	pp	pp	ADJ
easat-10606	819	65	.	.	PUNCT
easat-10606	820	1	3253	3253	NUM
easat-10606	820	2	-	-	SYM
easat-10606	820	3	3264	3264	NUM
easat-10606	820	4	,	,	PUNCT
easat-10606	820	5	2021	2021	NUM
easat-10606	820	6	.	.	PUNCT
easat-10606	821	1	[	[	X
easat-10606	821	2	40	40	NUM
easat-10606	821	3	]	]	PUNCT
easat-10606	821	4	m.	m.	NOUN
easat-10606	821	5	ahamad	ahamad	PROPN
easat-10606	821	6	and	and	CCONJ
easat-10606	821	7	n.	n.	PROPN
easat-10606	821	8	ahmad	ahmad	PROPN
easat-10606	821	9	,	,	PUNCT
easat-10606	821	10	"	"	PUNCT
easat-10606	821	11	students	student	NOUN
easat-10606	821	12	’	'	PUNCT
easat-10606	821	13	knowledge	knowledge	NOUN
easat-10606	821	14	assessment	assessment	NOUN
easat-10606	821	15	using	use	VERB
easat-10606	821	16	the	the	DET
easat-10606	821	17	ensemble	ensemble	ADJ
easat-10606	821	18	methods	method	NOUN
easat-10606	821	19	,	,	PUNCT
easat-10606	821	20	"	"	PUNCT
easat-10606	821	21	international	international	ADJ
easat-10606	821	22	journal	journal	NOUN
easat-10606	821	23	of	of	ADP
easat-10606	821	24	information	information	NOUN
easat-10606	821	25	technology	technology	NOUN
easat-10606	821	26	,	,	PUNCT
easat-10606	821	27	vol	vol	NOUN
easat-10606	821	28	.	.	PROPN
easat-10606	821	29	13	13	NUM
easat-10606	821	30	,	,	PUNCT
easat-10606	821	31	pp	pp	ADJ
easat-10606	821	32	.	.	PUNCT
easat-10606	821	33	1025	1025	NUM
easat-10606	821	34	-	-	SYM
easat-10606	821	35	1032	1032	NUM
easat-10606	821	36	,	,	PUNCT
easat-10606	821	37	2021	2021	NUM
easat-10606	821	38	.	.	PUNCT
easat-10606	822	1	https://doi.org/10.1007/s41870-020-00593-8	https://doi.org/10.1007/s41870-020-00593-8	NUM
easat-10606	823	1	[	[	X
easat-10606	823	2	41	41	NUM
easat-10606	823	3	]	]	X
easat-10606	823	4	s.	s.	PROPN
easat-10606	823	5	sagayaraj	sagayaraj	PROPN
easat-10606	823	6	and	and	CCONJ
easat-10606	823	7	m.	m.	NOUN
easat-10606	823	8	santhoshkumar	santhoshkumar	PROPN
easat-10606	823	9	,	,	PUNCT
easat-10606	823	10	"	"	PUNCT
easat-10606	823	11	heterogeneous	heterogeneous	ADJ
easat-10606	823	12	ensemble	ensemble	ADJ
easat-10606	823	13	learning	learning	NOUN
easat-10606	823	14	method	method	NOUN
easat-10606	823	15	for	for	ADP
easat-10606	823	16	personalized	personalize	VERB
easat-10606	823	17	semantic	semantic	ADJ
easat-10606	823	18	web	web	NOUN
easat-10606	823	19	service	service	NOUN
easat-10606	823	20	recommendation	recommendation	NOUN
easat-10606	823	21	,	,	PUNCT
easat-10606	823	22	"	"	PUNCT
easat-10606	823	23	international	international	ADJ
easat-10606	823	24	journal	journal	NOUN
easat-10606	823	25	of	of	ADP
easat-10606	823	26	information	information	NOUN
easat-10606	823	27	technology	technology	NOUN
easat-10606	823	28	,	,	PUNCT
easat-10606	823	29	vol	vol	NOUN
easat-10606	823	30	.	.	PROPN
easat-10606	823	31	12	12	NUM
easat-10606	823	32	,	,	PUNCT
easat-10606	823	33	pp	pp	ADJ
easat-10606	823	34	.	.	PUNCT
easat-10606	824	1	983	983	NUM
easat-10606	824	2	-	-	SYM
easat-10606	824	3	994	994	NUM
easat-10606	824	4	,	,	PUNCT
easat-10606	824	5	2020	2020	NUM
easat-10606	824	6	.	.	PUNCT
easat-10606	825	1	https://doi.org/10.1007/s41870-020-00479-9	https://doi.org/10.1007/s41870-020-00479-9	NUM
easat-10606	826	1	[	[	X
easat-10606	826	2	42	42	NUM
easat-10606	826	3	]	]	PUNCT
easat-10606	826	4	a.	a.	NOUN
easat-10606	826	5	rahman	rahman	PROPN
easat-10606	826	6	and	and	CCONJ
easat-10606	826	7	s.	s.	PROPN
easat-10606	826	8	tasnim	tasnim	PROPN
easat-10606	826	9	,	,	PUNCT
easat-10606	826	10	"	"	PUNCT
easat-10606	826	11	ensemble	ensemble	ADJ
easat-10606	826	12	classifiers	classifier	NOUN
easat-10606	826	13	and	and	CCONJ
easat-10606	826	14	their	their	PRON
easat-10606	826	15	applications	application	NOUN
easat-10606	826	16	:	:	PUNCT
easat-10606	826	17	a	a	DET
easat-10606	826	18	review	review	NOUN
easat-10606	826	19	.	.	PUNCT
easat-10606	827	1	arxiv	arxiv	PROPN
easat-10606	827	2	preprint	preprint	PROPN
easat-10606	827	3	arxiv	arxiv	PROPN
easat-10606	827	4	:	:	PUNCT
easat-10606	827	5	14044088	14044088	NUM
easat-10606	827	6	,	,	PUNCT
easat-10606	827	7	"	"	PUNCT
easat-10606	827	8	2014	2014	NUM
easat-10606	827	9	.	.	PUNCT
easat-10606	828	1	[	[	X
easat-10606	828	2	43	43	NUM
easat-10606	828	3	]	]	PUNCT
easat-10606	828	4	m.	m.	NOUN
easat-10606	828	5	ashraf	ashraf	PROPN
easat-10606	828	6	,	,	PUNCT
easat-10606	828	7	m.	m.	NOUN
easat-10606	828	8	zaman	zaman	PROPN
easat-10606	828	9	,	,	PUNCT
easat-10606	828	10	and	and	CCONJ
easat-10606	828	11	m.	m.	NOUN
easat-10606	828	12	ahmed	ahmed	PROPN
easat-10606	828	13	,	,	PUNCT
easat-10606	828	14	"	"	PUNCT
easat-10606	828	15	using	use	VERB
easat-10606	828	16	ensemble	ensemble	ADJ
easat-10606	828	17	stackingc	stackingc	ADJ
easat-10606	828	18	method	method	NOUN
easat-10606	828	19	and	and	CCONJ
easat-10606	828	20	base	base	NOUN
easat-10606	828	21	classifiers	classifier	NOUN
easat-10606	828	22	to	to	PART
easat-10606	828	23	ameliorate	ameliorate	VERB
easat-10606	828	24	prediction	prediction	NOUN
easat-10606	828	25	accuracy	accuracy	NOUN
easat-10606	828	26	of	of	ADP
easat-10606	828	27	pedagogical	pedagogical	ADJ
easat-10606	828	28	data	datum	NOUN
easat-10606	828	29	,	,	PUNCT
easat-10606	828	30	"	"	PUNCT
easat-10606	828	31	procedia	procedia	NOUN
easat-10606	828	32	computer	computer	NOUN
easat-10606	828	33	science	science	NOUN
easat-10606	828	34	,	,	PUNCT
easat-10606	828	35	vol	vol	NOUN
easat-10606	828	36	.	.	PROPN
easat-10606	828	37	132	132	NUM
easat-10606	828	38	,	,	PUNCT
easat-10606	828	39	pp	pp	ADJ
easat-10606	828	40	.	.	PUNCT
easat-10606	828	41	1021	1021	NUM
easat-10606	828	42	-	-	SYM
easat-10606	828	43	1040	1040	NUM
easat-10606	828	44	,	,	PUNCT
easat-10606	828	45	2018	2018	NUM
easat-10606	828	46	.	.	PUNCT
easat-10606	829	1	https://doi.org/10.1016/j.procs.2018.05.018	https://doi.org/10.1016/j.procs.2018.05.018	NOUN
easat-10606	829	2	[	[	X
easat-10606	829	3	44	44	NUM
easat-10606	829	4	]	]	PUNCT
easat-10606	829	5	n.	n.	NOUN
easat-10606	829	6	m.	m.	NOUN
easat-10606	829	7	nhleko	nhleko	PROPN
easat-10606	829	8	,	,	PUNCT
easat-10606	829	9	o.	o.	PROPN
easat-10606	829	10	j.	j.	PROPN
easat-10606	829	11	aroba	aroba	PROPN
easat-10606	829	12	,	,	PUNCT
easat-10606	829	13	and	and	CCONJ
easat-10606	829	14	c.	c.	PROPN
easat-10606	829	15	t.	t.	PROPN
easat-10606	829	16	chisita	chisita	PROPN
easat-10606	829	17	,	,	PUNCT
easat-10606	829	18	"	"	PUNCT
easat-10606	829	19	a	a	DET
easat-10606	829	20	systematic	systematic	ADJ
easat-10606	829	21	review	review	NOUN
easat-10606	829	22	of	of	ADP
easat-10606	829	23	information	information	NOUN
easat-10606	829	24	and	and	CCONJ
easat-10606	829	25	communication	communication	NOUN
easat-10606	829	26	technologies	technology	NOUN
easat-10606	829	27	(	(	PUNCT
easat-10606	829	28	icts	ict	NOUN
easat-10606	829	29	)	)	PUNCT
easat-10606	829	30	on	on	ADP
easat-10606	829	31	student	student	NOUN
easat-10606	829	32	motivation	motivation	NOUN
easat-10606	829	33	:	:	PUNCT
easat-10606	829	34	researchers	researcher	NOUN
easat-10606	829	35	’	'	PUNCT
easat-10606	829	36	reflections	reflection	NOUN
easat-10606	829	37	on	on	ADP
easat-10606	829	38	a	a	DET
easat-10606	829	39	selected	select	VERB
easat-10606	829	40	higher	high	ADJ
easat-10606	829	41	education	education	NOUN
easat-10606	829	42	institution	institution	NOUN
easat-10606	829	43	(	(	PUNCT
easat-10606	829	44	heis	heis	PROPN
easat-10606	829	45	)	)	PUNCT
easat-10606	829	46	,	,	PUNCT
easat-10606	829	47	"	"	PUNCT
easat-10606	829	48	global	global	ADJ
easat-10606	829	49	knowledge	knowledge	NOUN
easat-10606	829	50	,	,	PUNCT
easat-10606	829	51	memory	memory	NOUN
easat-10606	829	52	and	and	CCONJ
easat-10606	829	53	communication	communication	NOUN
easat-10606	829	54	,	,	PUNCT
easat-10606	829	55	vol	vol	NOUN
easat-10606	829	56	.	.	PROPN
easat-10606	830	1	74	74	NUM
easat-10606	830	2	,	,	PUNCT
easat-10606	830	3	no	no	INTJ
easat-10606	830	4	.	.	NOUN
easat-10606	830	5	11	11	NUM
easat-10606	830	6	,	,	PUNCT
easat-10606	830	7	pp	pp	ADJ
easat-10606	830	8	.	.	PUNCT
easat-10606	831	1	77	77	NUM
easat-10606	831	2	-	-	SYM
easat-10606	831	3	100	100	NUM
easat-10606	831	4	,	,	PUNCT
easat-10606	831	5	2025	2025	NUM
easat-10606	831	6	.	.	PUNCT
easat-10606	832	1	[	[	X
easat-10606	832	2	45	45	NUM
easat-10606	832	3	]	]	X
easat-10606	832	4	e.	e.	PROPN
easat-10606	832	5	cambria	cambria	PROPN
easat-10606	832	6	,	,	PUNCT
easat-10606	832	7	b.	b.	PROPN
easat-10606	832	8	schuller	schuller	PROPN
easat-10606	832	9	,	,	PUNCT
easat-10606	832	10	y.	y.	PROPN
easat-10606	832	11	xia	xia	PROPN
easat-10606	832	12	,	,	PUNCT
easat-10606	832	13	and	and	CCONJ
easat-10606	832	14	c.	c.	PROPN
easat-10606	832	15	havasi	havasi	PROPN
easat-10606	832	16	,	,	PUNCT
easat-10606	832	17	"	"	PUNCT
easat-10606	832	18	new	new	ADJ
easat-10606	832	19	avenues	avenue	NOUN
easat-10606	832	20	in	in	ADP
easat-10606	832	21	opinion	opinion	NOUN
easat-10606	832	22	mining	mining	NOUN
easat-10606	832	23	and	and	CCONJ
easat-10606	832	24	sentiment	sentiment	NOUN
easat-10606	832	25	analysis	analysis	NOUN
easat-10606	832	26	,	,	PUNCT
easat-10606	832	27	"	"	PUNCT
easat-10606	832	28	ieee	ieee	NOUN
easat-10606	832	29	intelligent	intelligent	ADJ
easat-10606	832	30	systems	system	NOUN
easat-10606	832	31	,	,	PUNCT
easat-10606	832	32	vol	vol	NOUN
easat-10606	832	33	.	.	PROPN
easat-10606	832	34	28	28	NUM
easat-10606	832	35	,	,	PUNCT
easat-10606	832	36	no	no	INTJ
easat-10606	832	37	.	.	NOUN
easat-10606	832	38	2	2	NUM
easat-10606	832	39	,	,	PUNCT
easat-10606	832	40	pp	pp	ADJ
easat-10606	832	41	.	.	PUNCT
easat-10606	833	1	15	15	NUM
easat-10606	833	2	-	-	SYM
easat-10606	833	3	21	21	NUM
easat-10606	833	4	,	,	PUNCT
easat-10606	833	5	2013	2013	NUM
easat-10606	833	6	.	.	PUNCT
easat-10606	834	1	https://doi.org/10.1109/mis.2013.30	https://doi.org/10.1109/mis.2013.30	X
easat-10606	835	1	[	[	X
easat-10606	835	2	46	46	NUM
easat-10606	835	3	]	]	PUNCT
easat-10606	835	4	k.	k.	PROPN
easat-10606	835	5	lundqvist	lundqvist	PROPN
easat-10606	835	6	,	,	PUNCT
easat-10606	835	7	t.	t.	PROPN
easat-10606	835	8	liyanagunawardena	liyanagunawardena	PROPN
easat-10606	835	9	,	,	PUNCT
easat-10606	835	10	and	and	CCONJ
easat-10606	835	11	l.	l.	PROPN
easat-10606	835	12	starkey	starkey	PROPN
easat-10606	835	13	,	,	PUNCT
easat-10606	835	14	"	"	PUNCT
easat-10606	835	15	evaluation	evaluation	NOUN
easat-10606	835	16	of	of	ADP
easat-10606	835	17	student	student	NOUN
easat-10606	835	18	feedback	feedback	NOUN
easat-10606	835	19	within	within	ADP
easat-10606	835	20	a	a	DET
easat-10606	835	21	mooc	mooc	NOUN
easat-10606	835	22	using	use	VERB
easat-10606	835	23	sentiment	sentiment	NOUN
easat-10606	835	24	analysis	analysis	NOUN
easat-10606	835	25	and	and	CCONJ
easat-10606	835	26	target	target	NOUN
easat-10606	835	27	groups	group	NOUN
easat-10606	835	28	,	,	PUNCT
easat-10606	835	29	"	"	PUNCT
easat-10606	835	30	the	the	DET
easat-10606	835	31	international	international	ADJ
easat-10606	835	32	review	review	NOUN
easat-10606	835	33	of	of	ADP
easat-10606	835	34	research	research	NOUN
easat-10606	835	35	in	in	ADP
easat-10606	835	36	open	open	ADJ
easat-10606	835	37	and	and	CCONJ
easat-10606	835	38	distributed	distributed	ADJ
easat-10606	835	39	learning	learning	NOUN
easat-10606	835	40	,	,	PUNCT
easat-10606	835	41	vol	vol	NOUN
easat-10606	835	42	.	.	PROPN
easat-10606	836	1	21	21	NUM
easat-10606	836	2	,	,	PUNCT
easat-10606	836	3	no	no	INTJ
easat-10606	836	4	.	.	NOUN
easat-10606	836	5	3	3	NUM
easat-10606	836	6	,	,	PUNCT
easat-10606	836	7	pp	pp	ADJ
easat-10606	836	8	.	.	PUNCT
easat-10606	837	1	140	140	NUM
easat-10606	837	2	-	-	SYM
easat-10606	837	3	156	156	NUM
easat-10606	837	4	,	,	PUNCT
easat-10606	837	5	2020	2020	NUM
easat-10606	837	6	.	.	PUNCT
easat-10606	838	1	https://doi.org/10.19173/irrodl.v21i3.4783	https://doi.org/10.19173/irrodl.v21i3.4783	NOUN
easat-10606	839	1	[	[	X
easat-10606	839	2	47	47	NUM
easat-10606	839	3	]	]	PUNCT
easat-10606	839	4	a.	a.	NOUN
easat-10606	839	5	onan	onan	PROPN
easat-10606	839	6	,	,	PUNCT
easat-10606	839	7	"	"	PUNCT
easat-10606	839	8	sentiment	sentiment	NOUN
easat-10606	839	9	analysis	analysis	NOUN
easat-10606	839	10	on	on	ADP
easat-10606	839	11	product	product	NOUN
easat-10606	839	12	reviews	review	NOUN
easat-10606	839	13	based	base	VERB
easat-10606	839	14	on	on	ADP
easat-10606	839	15	weighted	weight	VERB
easat-10606	839	16	word	word	NOUN
easat-10606	839	17	embeddings	embedding	NOUN
easat-10606	839	18	and	and	CCONJ
easat-10606	839	19	deep	deep	ADJ
easat-10606	839	20	neural	neural	ADJ
easat-10606	839	21	networks	network	NOUN
easat-10606	839	22	,	,	PUNCT
easat-10606	839	23	"	"	PUNCT
easat-10606	839	24	concurrency	concurrency	NOUN
easat-10606	839	25	and	and	CCONJ
easat-10606	839	26	computation	computation	NOUN
easat-10606	839	27	:	:	PUNCT
easat-10606	839	28	practice	practice	NOUN
easat-10606	839	29	and	and	CCONJ
easat-10606	839	30	experience	experience	NOUN
easat-10606	839	31	,	,	PUNCT
easat-10606	839	32	vol	vol	NOUN
easat-10606	839	33	.	.	PROPN
easat-10606	839	34	33	33	NUM
easat-10606	839	35	,	,	PUNCT
easat-10606	839	36	no	no	INTJ
easat-10606	839	37	.	.	NOUN
easat-10606	839	38	23	23	NUM
easat-10606	839	39	,	,	PUNCT
easat-10606	839	40	p.	p.	NOUN
easat-10606	839	41	e5909	e5909	NUM
easat-10606	839	42	,	,	PUNCT
easat-10606	839	43	2021	2021	NUM
easat-10606	839	44	.	.	PUNCT
easat-10606	840	1	https://doi.org/10.1002/cpe.5909	https://doi.org/10.1002/cpe.5909	PROPN
easat-10606	840	2	[	[	X
easat-10606	840	3	48	48	NUM
easat-10606	840	4	]	]	PUNCT
easat-10606	840	5	a.	a.	NOUN
easat-10606	840	6	ligthart	ligthart	PROPN
easat-10606	840	7	,	,	PUNCT
easat-10606	840	8	c.	c.	PROPN
easat-10606	840	9	catal	catal	PROPN
easat-10606	840	10	,	,	PUNCT
easat-10606	840	11	and	and	CCONJ
easat-10606	840	12	b.	b.	PROPN
easat-10606	840	13	tekinerdogan	tekinerdogan	PROPN
easat-10606	840	14	,	,	PUNCT
easat-10606	840	15	"	"	PUNCT
easat-10606	840	16	systematic	systematic	ADJ
easat-10606	840	17	reviews	review	NOUN
easat-10606	840	18	in	in	ADP
easat-10606	840	19	sentiment	sentiment	NOUN
easat-10606	840	20	analysis	analysis	NOUN
easat-10606	840	21	:	:	PUNCT
easat-10606	840	22	a	a	DET
easat-10606	840	23	tertiary	tertiary	ADJ
easat-10606	840	24	study	study	NOUN
easat-10606	840	25	,	,	PUNCT
easat-10606	840	26	"	"	PUNCT
easat-10606	840	27	artificial	artificial	ADJ
easat-10606	840	28	intelligence	intelligence	NOUN
easat-10606	840	29	review	review	NOUN
easat-10606	840	30	,	,	PUNCT
easat-10606	840	31	vol	vol	NOUN
easat-10606	840	32	.	.	PROPN
easat-10606	840	33	54	54	NUM
easat-10606	840	34	,	,	PUNCT
easat-10606	840	35	pp	pp	ADJ
easat-10606	840	36	.	.	PUNCT
easat-10606	841	1	4997	4997	NUM
easat-10606	841	2	-	-	SYM
easat-10606	841	3	5053	5053	NUM
easat-10606	841	4	,	,	PUNCT
easat-10606	841	5	2021	2021	NUM
easat-10606	841	6	.	.	PUNCT
easat-10606	842	1	https://doi.org/10.1007/s10462-021-09973-3	https://doi.org/10.1007/s10462-021-09973-3	NOUN
easat-10606	843	1	[	[	X
easat-10606	843	2	49	49	NUM
easat-10606	843	3	]	]	PUNCT
easat-10606	843	4	m.	m.	NOUN
easat-10606	843	5	anandarajan	anandarajan	PROPN
easat-10606	843	6	,	,	PUNCT
easat-10606	843	7	c.	c.	PROPN
easat-10606	843	8	hill	hill	PROPN
easat-10606	843	9	,	,	PUNCT
easat-10606	843	10	and	and	CCONJ
easat-10606	843	11	t.	t.	PROPN
easat-10606	843	12	nolan	nolan	PROPN
easat-10606	843	13	,	,	PUNCT
easat-10606	843	14	text	text	NOUN
easat-10606	843	15	preprocessing	preprocessing	NOUN
easat-10606	843	16	.	.	PUNCT
easat-10606	844	1	practical	practical	ADJ
easat-10606	844	2	text	text	NOUN
easat-10606	844	3	analytics	analytic	NOUN
easat-10606	844	4	:	:	PUNCT
easat-10606	844	5	maximizing	maximize	VERB
easat-10606	844	6	the	the	DET
easat-10606	844	7	value	value	NOUN
easat-10606	844	8	of	of	ADP
easat-10606	844	9	text	text	NOUN
easat-10606	844	10	data	datum	NOUN
easat-10606	844	11	.	.	PUNCT
easat-10606	845	1	cham	cham	PROPN
easat-10606	845	2	:	:	PUNCT
easat-10606	845	3	springer	springer	NOUN
easat-10606	845	4	,	,	PUNCT
easat-10606	845	5	2018	2018	NUM
easat-10606	845	6	.	.	PUNCT
easat-10606	846	1	[	[	X
easat-10606	846	2	50	50	NUM
easat-10606	846	3	]	]	X
easat-10606	846	4	g.	g.	PROPN
easat-10606	846	5	pathak	pathak	PROPN
easat-10606	846	6	and	and	CCONJ
easat-10606	846	7	s.	s.	PROPN
easat-10606	846	8	warpade	warpade	PROPN
easat-10606	846	9	,	,	PUNCT
easat-10606	846	10	"	"	PUNCT
easat-10606	846	11	impact	impact	NOUN
easat-10606	846	12	of	of	ADP
easat-10606	846	13	lockdown	lockdown	NOUN
easat-10606	846	14	due	due	ADP
easat-10606	846	15	to	to	ADP
easat-10606	846	16	covid-19	covid-19	PROPN
easat-10606	846	17	on	on	ADP
easat-10606	846	18	consumer	consumer	NOUN
easat-10606	846	19	behaviour	behaviour	NOUN
easat-10606	846	20	while	while	SCONJ
easat-10606	846	21	selecting	select	VERB
easat-10606	846	22	retailer	retailer	NOUN
easat-10606	846	23	for	for	ADP
easat-10606	846	24	essential	essential	ADJ
easat-10606	846	25	goods	good	NOUN
easat-10606	846	26	,	,	PUNCT
easat-10606	846	27	"	"	PUNCT
easat-10606	846	28	pathak	pathak	PROPN
easat-10606	846	29	,	,	PUNCT
easat-10606	846	30	gp	gp	NOUN
easat-10606	846	31	,	,	PUNCT
easat-10606	846	32	&	&	CCONJ
easat-10606	846	33	warpade	warpade	PROPN
easat-10606	846	34	,	,	PUNCT
easat-10606	846	35	s.(2020	s.(2020	PROPN
easat-10606	846	36	,	,	PUNCT
easat-10606	846	37	july	july	PROPN
easat-10606	846	38	31	31	NUM
easat-10606	846	39	)	)	PUNCT
easat-10606	846	40	.	.	PUNCT
easat-10606	847	1	impact	impact	NOUN
easat-10606	847	2	of	of	ADP
easat-10606	847	3	lockdown	lockdown	NOUN
easat-10606	847	4	due	due	ADP
easat-10606	847	5	to	to	ADP
easat-10606	847	6	covid	covid	PROPN
easat-10606	847	7	,	,	PUNCT
easat-10606	847	8	vol	vol	NOUN
easat-10606	847	9	.	.	PROPN
easat-10606	847	10	19	19	NUM
easat-10606	847	11	,	,	PUNCT
easat-10606	847	12	pp	pp	ADJ
easat-10606	847	13	.	.	PUNCT
easat-10606	848	1	282	282	NUM
easat-10606	848	2	-	-	SYM
easat-10606	848	3	289	289	NUM
easat-10606	848	4	,	,	PUNCT
easat-10606	848	5	2020	2020	NUM
easat-10606	848	6	.	.	PUNCT
easat-10606	849	1	[	[	X
easat-10606	849	2	51	51	NUM
easat-10606	849	3	]	]	X
easat-10606	849	4	o.	o.	PROPN
easat-10606	849	5	d.	d.	PROPN
easat-10606	849	6	olanloye	olanloye	PROPN
easat-10606	849	7	,	,	PUNCT
easat-10606	849	8	p.	p.	NOUN
easat-10606	849	9	a.	a.	NOUN
easat-10606	849	10	idowu	idowu	PROPN
easat-10606	849	11	,	,	PUNCT
easat-10606	849	12	a.	a.	PROPN
easat-10606	849	13	e.	e.	PROPN
easat-10606	849	14	adeniyi	adeniyi	PROPN
easat-10606	849	15	,	,	PUNCT
easat-10606	849	16	a.	a.	NOUN
easat-10606	849	17	a.	a.	NOUN
easat-10606	849	18	badmus	badmus	NOUN
easat-10606	849	19	,	,	PUNCT
easat-10606	849	20	and	and	CCONJ
easat-10606	849	21	o.	o.	PROPN
easat-10606	849	22	j.	j.	PROPN
easat-10606	849	23	aroba	aroba	PROPN
easat-10606	849	24	,	,	PUNCT
easat-10606	849	25	"	"	PUNCT
easat-10606	849	26	virtual	virtual	ADJ
easat-10606	849	27	learning	learn	VERB
easat-10606	849	28	environment	environment	NOUN
easat-10606	849	29	on	on	ADP
easat-10606	849	30	satisfaction	satisfaction	NOUN
easat-10606	849	31	and	and	CCONJ
easat-10606	849	32	academic	academic	ADJ
easat-10606	849	33	performance	performance	NOUN
easat-10606	849	34	of	of	ADP
easat-10606	849	35	students	student	NOUN
easat-10606	849	36	in	in	ADP
easat-10606	849	37	institutions	institution	NOUN
easat-10606	849	38	of	of	ADP
easat-10606	849	39	higher	high	ADJ
easat-10606	849	40	learning	learning	NOUN
easat-10606	849	41	,	,	PUNCT
easat-10606	849	42	"	"	PUNCT
easat-10606	849	43	indonesian	indonesian	ADJ
easat-10606	849	44	journal	journal	NOUN
easat-10606	849	45	of	of	ADP
easat-10606	849	46	electrical	electrical	ADJ
easat-10606	849	47	engineering	engineering	NOUN
easat-10606	849	48	and	and	CCONJ
easat-10606	849	49	computer	computer	NOUN
easat-10606	849	50	science	science	NOUN
easat-10606	849	51	,	,	PUNCT
easat-10606	849	52	vol	vol	NOUN
easat-10606	849	53	.	.	PROPN
easat-10606	849	54	39	39	NUM
easat-10606	849	55	,	,	PUNCT
easat-10606	849	56	no	no	INTJ
easat-10606	849	57	.	.	NOUN
easat-10606	849	58	1	1	NUM
easat-10606	849	59	,	,	PUNCT
easat-10606	849	60	pp	pp	ADJ
easat-10606	849	61	.	.	PUNCT
easat-10606	850	1	258–271	258–271	NUM
easat-10606	850	2	,	,	PUNCT
easat-10606	850	3	2025	2025	NUM
easat-10606	850	4	.	.	PUNCT
easat-10606	851	1	[	[	X
easat-10606	851	2	52	52	NUM
easat-10606	851	3	]	]	PUNCT
easat-10606	851	4	n.	n.	NOUN
easat-10606	851	5	nikolić	nikolić	NOUN
easat-10606	851	6	,	,	PUNCT
easat-10606	851	7	o.	o.	NOUN
easat-10606	851	8	grljević	grljević	NOUN
easat-10606	851	9	,	,	PUNCT
easat-10606	851	10	and	and	CCONJ
easat-10606	851	11	a.	a.	NOUN
easat-10606	851	12	kovačević	kovačević	NOUN
easat-10606	851	13	,	,	PUNCT
easat-10606	851	14	"	"	PUNCT
easat-10606	851	15	aspect	aspect	NOUN
easat-10606	851	16	-	-	PUNCT
easat-10606	851	17	based	base	VERB
easat-10606	851	18	sentiment	sentiment	NOUN
easat-10606	851	19	analysis	analysis	NOUN
easat-10606	851	20	of	of	ADP
easat-10606	851	21	reviews	review	NOUN
easat-10606	851	22	in	in	ADP
easat-10606	851	23	the	the	DET
easat-10606	851	24	domain	domain	NOUN
easat-10606	851	25	of	of	ADP
easat-10606	851	26	higher	high	ADJ
easat-10606	851	27	education	education	NOUN
easat-10606	851	28	,	,	PUNCT
easat-10606	851	29	"	"	PUNCT
easat-10606	851	30	the	the	DET
easat-10606	851	31	electronic	electronic	ADJ
easat-10606	851	32	library	library	NOUN
easat-10606	851	33	,	,	PUNCT
easat-10606	851	34	vol	vol	NOUN
easat-10606	851	35	.	.	PROPN
easat-10606	852	1	38	38	NUM
easat-10606	852	2	,	,	PUNCT
easat-10606	852	3	no	no	INTJ
easat-10606	852	4	.	.	NOUN
easat-10606	852	5	1	1	NUM
easat-10606	852	6	,	,	PUNCT
easat-10606	852	7	pp	pp	ADJ
easat-10606	852	8	.	.	PUNCT
easat-10606	853	1	44	44	NUM
easat-10606	853	2	-	-	SYM
easat-10606	853	3	64	64	NUM
easat-10606	853	4	,	,	PUNCT
easat-10606	853	5	2020	2020	NUM
easat-10606	853	6	.	.	PUNCT
easat-10606	854	1	https://doi.org/10.1108/el-06-2019-0140	https://doi.org/10.1108/el-06-2019-0140	PROPN
easat-10606	854	2	[	[	X
easat-10606	854	3	53	53	NUM
easat-10606	854	4	]	]	PUNCT
easat-10606	854	5	f.	f.	PROPN
easat-10606	854	6	s.	s.	PROPN
easat-10606	854	7	dolianiti	dolianiti	PROPN
easat-10606	854	8	et	et	PROPN
easat-10606	854	9	al	al	PROPN
easat-10606	854	10	.	.	PROPN
easat-10606	854	11	,	,	PUNCT
easat-10606	854	12	"	"	PUNCT
easat-10606	854	13	sentiment	sentiment	NOUN
easat-10606	854	14	analysis	analysis	NOUN
easat-10606	854	15	on	on	ADP
easat-10606	854	16	educational	educational	ADJ
easat-10606	854	17	datasets	dataset	NOUN
easat-10606	854	18	:	:	PUNCT
easat-10606	854	19	a	a	DET
easat-10606	854	20	comparative	comparative	ADJ
easat-10606	854	21	evaluation	evaluation	NOUN
easat-10606	854	22	of	of	ADP
easat-10606	854	23	commercial	commercial	ADJ
easat-10606	854	24	tools	tool	NOUN
easat-10606	854	25	,	,	PUNCT
easat-10606	854	26	"	"	PUNCT
easat-10606	854	27	educational	educational	ADJ
easat-10606	854	28	journal	journal	NOUN
easat-10606	854	29	of	of	ADP
easat-10606	854	30	the	the	DET
easat-10606	854	31	university	university	PROPN
easat-10606	854	32	of	of	ADP
easat-10606	854	33	patras	patras	PROPN
easat-10606	854	34	unesco	unesco	PROPN
easat-10606	854	35	chair	chair	PROPN
easat-10606	854	36	,	,	PUNCT
easat-10606	854	37	2019	2019	NUM
easat-10606	854	38	.	.	PUNCT
easat-10606	855	1	https://doi.org/10.26220/une.2987	https://doi.org/10.26220/une.2987	PROPN
easat-10606	856	1	[	[	X
easat-10606	856	2	54	54	NUM
easat-10606	856	3	]	]	PUNCT
easat-10606	856	4	w.	w.	PROPN
easat-10606	856	5	sun	sun	PROPN
easat-10606	856	6	and	and	CCONJ
easat-10606	856	7	b.	b.	PROPN
easat-10606	856	8	trevor	trevor	PROPN
easat-10606	856	9	,	,	PUNCT
easat-10606	856	10	"	"	PUNCT
easat-10606	856	11	a	a	DET
easat-10606	856	12	stacking	stack	VERB
easat-10606	856	13	ensemble	ensemble	ADJ
easat-10606	856	14	learning	learning	NOUN
easat-10606	856	15	framework	framework	NOUN
easat-10606	856	16	for	for	ADP
easat-10606	856	17	annual	annual	ADJ
easat-10606	856	18	river	river	NOUN
easat-10606	856	19	ice	ice	NOUN
easat-10606	856	20	breakup	breakup	NOUN
easat-10606	856	21	dates	date	NOUN
easat-10606	856	22	,	,	PUNCT
easat-10606	856	23	"	"	PUNCT
easat-10606	856	24	journal	journal	NOUN
easat-10606	856	25	of	of	ADP
easat-10606	856	26	hydrology	hydrology	NOUN
easat-10606	856	27	,	,	PUNCT
easat-10606	856	28	vol	vol	NOUN
easat-10606	856	29	.	.	PROPN
easat-10606	857	1	561	561	NUM
easat-10606	857	2	,	,	PUNCT
easat-10606	857	3	pp	pp	ADJ
easat-10606	857	4	.	.	PUNCT
easat-10606	858	1	636	636	NUM
easat-10606	858	2	-	-	SYM
easat-10606	858	3	650	650	NUM
easat-10606	858	4	,	,	PUNCT
easat-10606	858	5	2018	2018	NUM
easat-10606	858	6	.	.	PUNCT
easat-10606	859	1	https://doi.org/10.1016/j.jhydrol.2018.04.008	https://doi.org/10.1016/j.jhydrol.2018.04.008	NOUN
easat-10606	860	1	[	[	X
easat-10606	860	2	55	55	NUM
easat-10606	860	3	]	]	X
easat-10606	860	4	l.	l.	PROPN
easat-10606	860	5	breiman	breiman	PROPN
easat-10606	860	6	,	,	PUNCT
easat-10606	860	7	"	"	PUNCT
easat-10606	860	8	bagging	bag	VERB
easat-10606	860	9	predictors	predictor	NOUN
easat-10606	860	10	,	,	PUNCT
easat-10606	860	11	"	"	PUNCT
easat-10606	860	12	machine	machine	NOUN
easat-10606	860	13	learning	learning	NOUN
easat-10606	860	14	,	,	PUNCT
easat-10606	860	15	vol	vol	NOUN
easat-10606	860	16	.	.	PROPN
easat-10606	860	17	24	24	NUM
easat-10606	860	18	,	,	PUNCT
easat-10606	860	19	pp	pp	ADJ
easat-10606	860	20	.	.	PUNCT
easat-10606	861	1	123	123	NUM
easat-10606	861	2	-	-	SYM
easat-10606	861	3	140	140	NUM
easat-10606	861	4	,	,	PUNCT
easat-10606	861	5	1996	1996	NUM
easat-10606	861	6	.	.	PUNCT
easat-10606	862	1	https://doi.org/10.1007/bf00058655	https://doi.org/10.1007/bf00058655	PRON
easat-10606	863	1	[	[	X
easat-10606	863	2	56	56	NUM
easat-10606	863	3	]	]	X
easat-10606	863	4	c.	c.	PROPN
easat-10606	863	5	hutto	hutto	PROPN
easat-10606	863	6	and	and	CCONJ
easat-10606	863	7	e.	e.	PROPN
easat-10606	863	8	gilbert	gilbert	PROPN
easat-10606	863	9	,	,	PUNCT
easat-10606	863	10	"	"	PUNCT
easat-10606	863	11	vader	vader	NOUN
easat-10606	863	12	:	:	PUNCT
easat-10606	863	13	a	a	DET
easat-10606	863	14	parsimonious	parsimonious	ADJ
easat-10606	863	15	rule	rule	NOUN
easat-10606	863	16	-	-	PUNCT
easat-10606	863	17	based	base	VERB
easat-10606	863	18	model	model	NOUN
easat-10606	863	19	for	for	ADP
easat-10606	863	20	sentiment	sentiment	NOUN
easat-10606	863	21	analysis	analysis	NOUN
easat-10606	863	22	of	of	ADP
easat-10606	863	23	social	social	ADJ
easat-10606	863	24	media	medium	NOUN
easat-10606	863	25	text	text	NOUN
easat-10606	863	26	,	,	PUNCT
easat-10606	863	27	"	"	PUNCT
easat-10606	863	28	in	in	ADP
easat-10606	863	29	proceedings	proceeding	NOUN
easat-10606	863	30	of	of	ADP
easat-10606	863	31	the	the	DET
easat-10606	863	32	international	international	ADJ
easat-10606	863	33	aaai	aaai	PROPN
easat-10606	863	34	conference	conference	PROPN
easat-10606	863	35	on	on	ADP
easat-10606	863	36	web	web	NOUN
easat-10606	863	37	and	and	CCONJ
easat-10606	863	38	social	social	ADJ
easat-10606	863	39	media	medium	NOUN
easat-10606	863	40	,	,	PUNCT
easat-10606	863	41	2014	2014	NUM
easat-10606	863	42	.	.	PUNCT
easat-10606	864	1	[	[	X
easat-10606	864	2	57	57	NUM
easat-10606	864	3	]	]	X
easat-10606	864	4	n.	n.	PROPN
easat-10606	864	5	zainuddin	zainuddin	PROPN
easat-10606	864	6	and	and	CCONJ
easat-10606	864	7	a.	a.	NOUN
easat-10606	864	8	selamat	selamat	PROPN
easat-10606	864	9	,	,	PUNCT
easat-10606	864	10	"	"	PUNCT
easat-10606	864	11	sentiment	sentiment	NOUN
easat-10606	864	12	analysis	analysis	NOUN
easat-10606	864	13	using	use	VERB
easat-10606	864	14	support	support	NOUN
easat-10606	864	15	vector	vector	NOUN
easat-10606	864	16	machine	machine	NOUN
easat-10606	864	17	,	,	PUNCT
easat-10606	864	18	"	"	PUNCT
easat-10606	864	19	in	in	ADP
easat-10606	864	20	2014	2014	NUM
easat-10606	864	21	international	international	ADJ
easat-10606	864	22	conference	conference	NOUN
easat-10606	864	23	on	on	ADP
easat-10606	864	24	computer	computer	NOUN
easat-10606	864	25	,	,	PUNCT
easat-10606	864	26	communications	communication	NOUN
easat-10606	864	27	,	,	PUNCT
easat-10606	864	28	and	and	CCONJ
easat-10606	864	29	control	control	NOUN
easat-10606	864	30	technology	technology	NOUN
easat-10606	864	31	(	(	PUNCT
easat-10606	864	32	i4ct	i4ct	X
easat-10606	864	33	)	)	PUNCT
easat-10606	864	34	(	(	PUNCT
easat-10606	864	35	pp	pp	ADJ
easat-10606	864	36	.	.	PUNCT
easat-10606	865	1	333	333	NUM
easat-10606	865	2	-	-	SYM
easat-10606	865	3	337	337	NUM
easat-10606	865	4	)	)	PUNCT
easat-10606	865	5	.	.	PUNCT
easat-10606	866	1	ieee	ieee	PROPN
easat-10606	866	2	,	,	PUNCT
easat-10606	866	3	2014	2014	NUM
easat-10606	866	4	.	.	PUNCT
easat-10606	867	1	[	[	X
easat-10606	867	2	58	58	NUM
easat-10606	867	3	]	]	PUNCT
easat-10606	867	4	c.	c.	PROPN
easat-10606	867	5	chatterjee	chatterjee	PROPN
easat-10606	867	6	and	and	CCONJ
easat-10606	867	7	k.	k.	PROPN
easat-10606	867	8	chakma	chakma	PROPN
easat-10606	867	9	,	,	PUNCT
easat-10606	867	10	"	"	PUNCT
easat-10606	867	11	a	a	DET
easat-10606	867	12	comparison	comparison	NOUN
easat-10606	867	13	between	between	ADP
easat-10606	867	14	sentiment	sentiment	NOUN
easat-10606	867	15	analysis	analysis	NOUN
easat-10606	867	16	of	of	ADP
easat-10606	867	17	student	student	NOUN
easat-10606	867	18	feedback	feedback	NOUN
easat-10606	867	19	at	at	ADP
easat-10606	867	20	sentence	sentence	NOUN
easat-10606	867	21	level	level	NOUN
easat-10606	867	22	and	and	CCONJ
easat-10606	867	23	at	at	ADP
easat-10606	867	24	token	token	ADJ
easat-10606	867	25	level	level	NOUN
easat-10606	867	26	,	,	PUNCT
easat-10606	867	27	"	"	PUNCT
easat-10606	867	28	international	international	ADJ
easat-10606	867	29	journal	journal	NOUN
easat-10606	867	30	of	of	ADP
easat-10606	867	31	computer	computer	NOUN
easat-10606	867	32	science	science	NOUN
easat-10606	867	33	network	network	NOUN
easat-10606	867	34	,	,	PUNCT
easat-10606	867	35	vol	vol	NOUN
easat-10606	867	36	.	.	PROPN
easat-10606	867	37	4	4	NUM
easat-10606	867	38	,	,	PUNCT
easat-10606	867	39	no	no	INTJ
easat-10606	867	40	.	.	NOUN
easat-10606	867	41	3	3	NUM
easat-10606	867	42	,	,	PUNCT
easat-10606	867	43	pp	pp	ADJ
easat-10606	867	44	.	.	PUNCT
easat-10606	868	1	1	1	NUM
easat-10606	868	2	-	-	SYM
easat-10606	868	3	7	7	NUM
easat-10606	868	4	,	,	PUNCT
easat-10606	868	5	2015	2015	NUM
easat-10606	868	6	.	.	PUNCT
easat-10606	869	1	[	[	X
easat-10606	869	2	59	59	NUM
easat-10606	869	3	]	]	PUNCT
easat-10606	869	4	m.	m.	NOUN
easat-10606	869	5	sivakumar	sivakumar	PROPN
easat-10606	869	6	and	and	CCONJ
easat-10606	869	7	u.	u.	PROPN
easat-10606	869	8	s.	s.	PROPN
easat-10606	869	9	reddy	reddy	PROPN
easat-10606	869	10	,	,	PUNCT
easat-10606	869	11	"	"	PUNCT
easat-10606	869	12	aspect	aspect	NOUN
easat-10606	869	13	based	base	VERB
easat-10606	869	14	sentiment	sentiment	NOUN
easat-10606	869	15	analysis	analysis	NOUN
easat-10606	869	16	of	of	ADP
easat-10606	869	17	students	student	NOUN
easat-10606	869	18	opinion	opinion	NOUN
easat-10606	869	19	using	use	VERB
easat-10606	869	20	machine	machine	NOUN
easat-10606	869	21	learning	learning	NOUN
easat-10606	869	22	techniques	technique	NOUN
easat-10606	869	23	,	,	PUNCT
easat-10606	869	24	"	"	PUNCT
easat-10606	869	25	in	in	ADP
easat-10606	869	26	2017	2017	NUM
easat-10606	869	27	international	international	ADJ
easat-10606	869	28	conference	conference	NOUN
easat-10606	869	29	on	on	ADP
easat-10606	869	30	inventive	inventive	ADJ
easat-10606	869	31	computing	computing	NOUN
easat-10606	869	32	and	and	CCONJ
easat-10606	869	33	informatics	informatics	PROPN
easat-10606	869	34	(	(	PUNCT
easat-10606	869	35	icici	icici	PROPN
easat-10606	869	36	)	)	PUNCT
easat-10606	869	37	(	(	PUNCT
easat-10606	869	38	pp	pp	X
easat-10606	869	39	.	.	PUNCT
easat-10606	870	1	726	726	NUM
easat-10606	870	2	-	-	NUM
easat-10606	870	3	731	731	NUM
easat-10606	870	4	)	)	PUNCT
easat-10606	870	5	.	.	PUNCT
easat-10606	871	1	ieee	ieee	PROPN
easat-10606	871	2	,	,	PUNCT
easat-10606	871	3	2017	2017	NUM
easat-10606	871	4	.	.	PUNCT
easat-10606	872	1	https://doi.org/10.1109/access.2022.3150172	https://doi.org/10.1109/access.2022.3150172	PROPN
easat-10606	872	2	https://doi.org/10.1016/j.eswa.2017.12.020	https://doi.org/10.1016/j.eswa.2017.12.020	VERB
easat-10606	872	3	https://doi.org/10.1016/j.imu.2023.101295	https://doi.org/10.1016/j.imu.2023.101295	PROPN
easat-10606	872	4	https://doi.org/10.1007/s41870-020-00593-8	https://doi.org/10.1007/s41870-020-00593-8	NUM
easat-10606	872	5	https://doi.org/10.1007/s41870-020-00479-9	https://doi.org/10.1007/s41870-020-00479-9	NUM
easat-10606	872	6	https://doi.org/10.1016/j.procs.2018.05.018	https://doi.org/10.1016/j.procs.2018.05.018	NUM
easat-10606	872	7	https://doi.org/10.1109/mis.2013.30	https://doi.org/10.1109/mis.2013.30	NOUN
easat-10606	872	8	https://doi.org/10.19173/irrodl.v21i3.4783	https://doi.org/10.19173/irrodl.v21i3.4783	PUNCT
easat-10606	872	9	https://doi.org/10.1002/cpe.5909	https://doi.org/10.1002/cpe.5909	PROPN
easat-10606	872	10	https://doi.org/10.1007/s10462-021-09973-3	https://doi.org/10.1007/s10462-021-09973-3	PROPN
easat-10606	872	11	https://doi.org/10.1108/el-06-2019-0140	https://doi.org/10.1108/el-06-2019-0140	PROPN
easat-10606	872	12	https://doi.org/10.26220/une.2987	https://doi.org/10.26220/une.2987	PROPN
easat-10606	872	13	https://doi.org/10.1016/j.jhydrol.2018.04.008	https://doi.org/10.1016/j.jhydrol.2018.04.008	PROPN
easat-10606	872	14	https://doi.org/10.1007/bf00058655	https://doi.org/10.1007/bf00058655	PROPN
easat-10606	872	15	1179	1179	NUM
easat-10606	872	16	edelweiss	edelweiss	PROPN
easat-10606	872	17	applied	apply	VERB
easat-10606	872	18	science	science	NOUN
easat-10606	872	19	and	and	CCONJ
easat-10606	872	20	technology	technology	NOUN
easat-10606	872	21	issn	issn	PROPN
easat-10606	872	22	:	:	PUNCT
easat-10606	872	23	2576	2576	NUM
easat-10606	872	24	-	-	SYM
easat-10606	872	25	8484	8484	NUM
easat-10606	872	26	vol	vol	NOUN
easat-10606	872	27	.	.	PROPN
easat-10606	873	1	9	9	NUM
easat-10606	873	2	,	,	PUNCT
easat-10606	873	3	no	no	INTJ
easat-10606	873	4	.	.	NOUN
easat-10606	873	5	10	10	NUM
easat-10606	873	6	:	:	SYM
easat-10606	873	7	1149	1149	NUM
easat-10606	873	8	-	-	SYM
easat-10606	873	9	1180	1180	NUM
easat-10606	873	10	,	,	PUNCT
easat-10606	873	11	2025	2025	NUM
easat-10606	873	12	doi	doi	NOUN
easat-10606	873	13	:	:	PUNCT
easat-10606	873	14	10.55214/2576	10.55214/2576	NUM
easat-10606	873	15	-	-	SYM
easat-10606	873	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	873	17	©	©	ADP
easat-10606	873	18	2025	2025	NUM
easat-10606	873	19	by	by	ADP
easat-10606	873	20	the	the	DET
easat-10606	873	21	authors	author	NOUN
easat-10606	873	22	;	;	PUNCT
easat-10606	873	23	licensee	licensee	PROPN
easat-10606	873	24	learning	learning	NOUN
easat-10606	873	25	gate	gate	NOUN
easat-10606	874	1	[	[	X
easat-10606	874	2	60	60	NUM
easat-10606	874	3	]	]	PUNCT
easat-10606	874	4	k.	k.	PROPN
easat-10606	874	5	z.	z.	PROPN
easat-10606	874	6	aung	aung	PROPN
easat-10606	874	7	and	and	CCONJ
easat-10606	874	8	n.	n.	PROPN
easat-10606	874	9	n.	n.	PROPN
easat-10606	874	10	myo	myo	PROPN
easat-10606	874	11	,	,	PUNCT
easat-10606	874	12	"	"	PUNCT
easat-10606	874	13	sentiment	sentiment	NOUN
easat-10606	874	14	analysis	analysis	NOUN
easat-10606	874	15	of	of	ADP
easat-10606	874	16	students	student	NOUN
easat-10606	874	17	'	'	PART
easat-10606	874	18	comment	comment	NOUN
easat-10606	874	19	using	use	VERB
easat-10606	874	20	lexicon	lexicon	NOUN
easat-10606	874	21	based	base	VERB
easat-10606	874	22	approach	approach	NOUN
easat-10606	874	23	,	,	PUNCT
easat-10606	874	24	"	"	PUNCT
easat-10606	874	25	in	in	ADP
easat-10606	874	26	2017	2017	NUM
easat-10606	874	27	ieee	ieee	NOUN
easat-10606	874	28	/	/	SYM
easat-10606	874	29	acis	acis	PROPN
easat-10606	874	30	16th	16th	PROPN
easat-10606	874	31	international	international	ADJ
easat-10606	874	32	conference	conference	NOUN
easat-10606	874	33	on	on	ADP
easat-10606	874	34	computer	computer	NOUN
easat-10606	874	35	and	and	CCONJ
easat-10606	874	36	information	information	NOUN
easat-10606	874	37	science	science	NOUN
easat-10606	874	38	(	(	PUNCT
easat-10606	874	39	icis	icis	PROPN
easat-10606	874	40	)	)	PUNCT
easat-10606	874	41	(	(	PUNCT
easat-10606	874	42	pp	pp	X
easat-10606	874	43	.	.	PUNCT
easat-10606	875	1	149	149	NUM
easat-10606	875	2	-	-	NUM
easat-10606	875	3	154	154	NUM
easat-10606	875	4	)	)	PUNCT
easat-10606	875	5	.	.	PUNCT
easat-10606	876	1	ieee	ieee	PROPN
easat-10606	876	2	,	,	PUNCT
easat-10606	876	3	2017	2017	NUM
easat-10606	876	4	.	.	PUNCT
easat-10606	877	1	[	[	X
easat-10606	877	2	61	61	NUM
easat-10606	877	3	]	]	X
easat-10606	877	4	v.	v.	ADP
easat-10606	877	5	dhanalakshmi	dhanalakshmi	NOUN
easat-10606	877	6	,	,	PUNCT
easat-10606	877	7	d.	d.	PROPN
easat-10606	877	8	bino	bino	PROPN
easat-10606	877	9	,	,	PUNCT
easat-10606	877	10	and	and	CCONJ
easat-10606	877	11	a.	a.	PROPN
easat-10606	877	12	m.	m.	PROPN
easat-10606	877	13	saravanan	saravanan	PROPN
easat-10606	877	14	,	,	PUNCT
easat-10606	877	15	"	"	PUNCT
easat-10606	877	16	opinion	opinion	NOUN
easat-10606	877	17	mining	mining	NOUN
easat-10606	877	18	from	from	ADP
easat-10606	877	19	student	student	NOUN
easat-10606	877	20	feedback	feedback	NOUN
easat-10606	877	21	data	datum	NOUN
easat-10606	877	22	using	use	VERB
easat-10606	877	23	supervised	supervised	ADJ
easat-10606	877	24	learning	learning	NOUN
easat-10606	877	25	algorithms	algorithm	NOUN
easat-10606	877	26	,	,	PUNCT
easat-10606	877	27	"	"	PUNCT
easat-10606	877	28	in	in	ADP
easat-10606	877	29	2016	2016	NUM
easat-10606	877	30	3rd	3rd	PROPN
easat-10606	877	31	mec	mec	PROPN
easat-10606	877	32	international	international	ADJ
easat-10606	877	33	conference	conference	NOUN
easat-10606	877	34	on	on	ADP
easat-10606	877	35	big	big	ADJ
easat-10606	877	36	data	datum	NOUN
easat-10606	877	37	and	and	CCONJ
easat-10606	877	38	smart	smart	ADJ
easat-10606	877	39	city	city	NOUN
easat-10606	877	40	(	(	PUNCT
easat-10606	877	41	icbdsc	icbdsc	NOUN
easat-10606	877	42	)	)	PUNCT
easat-10606	877	43	(	(	PUNCT
easat-10606	877	44	pp	pp	X
easat-10606	877	45	.	.	PUNCT
easat-10606	878	1	1	1	NUM
easat-10606	878	2	-	-	SYM
easat-10606	878	3	5	5	NUM
easat-10606	878	4	)	)	PUNCT
easat-10606	878	5	.	.	PUNCT
easat-10606	879	1	ieee	ieee	PROPN
easat-10606	879	2	,	,	PUNCT
easat-10606	879	3	2016	2016	NUM
easat-10606	879	4	.	.	PUNCT
easat-10606	880	1	[	[	X
easat-10606	880	2	62	62	NUM
easat-10606	880	3	]	]	X
easat-10606	880	4	n.	n.	PROPN
easat-10606	880	5	altrabsheh	altrabsheh	PROPN
easat-10606	880	6	,	,	PUNCT
easat-10606	880	7	m.	m.	NOUN
easat-10606	880	8	m.	m.	PROPN
easat-10606	880	9	gaber	gaber	PROPN
easat-10606	880	10	,	,	PUNCT
easat-10606	880	11	and	and	CCONJ
easat-10606	880	12	m.	m.	NOUN
easat-10606	880	13	cocea	cocea	PROPN
easat-10606	880	14	,	,	PUNCT
easat-10606	880	15	"	"	PUNCT
easat-10606	880	16	sa	sa	X
easat-10606	880	17	-	-	PUNCT
easat-10606	880	18	e	e	NOUN
easat-10606	880	19	:	:	PUNCT
easat-10606	880	20	sentiment	sentiment	NOUN
easat-10606	880	21	analysis	analysis	NOUN
easat-10606	880	22	for	for	ADP
easat-10606	880	23	education	education	NOUN
easat-10606	880	24	,	,	PUNCT
easat-10606	880	25	"	"	PUNCT
easat-10606	880	26	in	in	ADP
easat-10606	880	27	proceedings	proceeding	NOUN
easat-10606	880	28	of	of	ADP
easat-10606	880	29	the	the	DET
easat-10606	880	30	international	international	ADJ
easat-10606	880	31	conference	conference	NOUN
easat-10606	880	32	on	on	ADP
easat-10606	880	33	intelligent	intelligent	ADJ
easat-10606	880	34	decision	decision	NOUN
easat-10606	880	35	technologies	technology	NOUN
easat-10606	880	36	(	(	PUNCT
easat-10606	880	37	kes	kes	PROPN
easat-10606	880	38	-	-	PUNCT
easat-10606	880	39	idt	idt	PROPN
easat-10606	880	40	)	)	PUNCT
easat-10606	880	41	(	(	PUNCT
easat-10606	880	42	vol	vol	NOUN
easat-10606	880	43	.	.	PUNCT
easat-10606	881	1	255	255	NUM
easat-10606	881	2	,	,	PUNCT
easat-10606	881	3	pp	pp	ADJ
easat-10606	881	4	.	.	PUNCT
easat-10606	882	1	353–362	353–362	NUM
easat-10606	882	2	)	)	PUNCT
easat-10606	882	3	.	.	PUNCT
easat-10606	883	1	amsterdam	amsterdam	PROPN
easat-10606	883	2	,	,	PUNCT
easat-10606	883	3	netherlands	netherlands	PROPN
easat-10606	883	4	:	:	PUNCT
easat-10606	883	5	ios	ios	PROPN
easat-10606	883	6	press	press	NOUN
easat-10606	883	7	,	,	PUNCT
easat-10606	883	8	2013	2013	NUM
easat-10606	883	9	.	.	PUNCT
easat-10606	884	1	[	[	X
easat-10606	884	2	63	63	NUM
easat-10606	884	3	]	]	PUNCT
easat-10606	884	4	f.	f.	PROPN
easat-10606	884	5	f.	f.	PROPN
easat-10606	884	6	balahadia	balahadia	PROPN
easat-10606	884	7	,	,	PUNCT
easat-10606	884	8	m.	m.	NOUN
easat-10606	884	9	c.	c.	PROPN
easat-10606	884	10	g.	g.	PROPN
easat-10606	884	11	fernando	fernando	PROPN
easat-10606	884	12	,	,	PUNCT
easat-10606	884	13	and	and	CCONJ
easat-10606	884	14	i.	i.	PROPN
easat-10606	884	15	c.	c.	PROPN
easat-10606	884	16	juanatas	juanatas	PROPN
easat-10606	884	17	,	,	PUNCT
easat-10606	884	18	"	"	PUNCT
easat-10606	884	19	teacher	teacher	NOUN
easat-10606	884	20	's	's	PART
easat-10606	884	21	performance	performance	NOUN
easat-10606	884	22	evaluation	evaluation	NOUN
easat-10606	884	23	tool	tool	NOUN
easat-10606	884	24	using	use	VERB
easat-10606	884	25	opinion	opinion	NOUN
easat-10606	884	26	mining	mining	NOUN
easat-10606	884	27	with	with	ADP
easat-10606	884	28	sentiment	sentiment	NOUN
easat-10606	884	29	analysis	analysis	NOUN
easat-10606	884	30	,	,	PUNCT
easat-10606	884	31	"	"	PUNCT
easat-10606	884	32	in	in	ADP
easat-10606	884	33	2016	2016	NUM
easat-10606	884	34	ieee	ieee	NOUN
easat-10606	884	35	region	region	NOUN
easat-10606	884	36	10	10	NUM
easat-10606	884	37	symposium	symposium	NOUN
easat-10606	884	38	(	(	PUNCT
easat-10606	884	39	tensymp	tensymp	NOUN
easat-10606	884	40	)	)	PUNCT
easat-10606	884	41	(	(	PUNCT
easat-10606	884	42	pp	pp	X
easat-10606	884	43	.	.	PUNCT
easat-10606	885	1	95	95	NUM
easat-10606	885	2	-	-	SYM
easat-10606	885	3	98	98	NUM
easat-10606	885	4	)	)	PUNCT
easat-10606	885	5	.	.	PUNCT
easat-10606	886	1	ieee	ieee	PROPN
easat-10606	886	2	,	,	PUNCT
easat-10606	886	3	2016	2016	NUM
easat-10606	886	4	.	.	PUNCT
easat-10606	887	1	[	[	X
easat-10606	887	2	64	64	NUM
easat-10606	887	3	]	]	PUNCT
easat-10606	887	4	a.	a.	PROPN
easat-10606	887	5	el	el	PROPN
easat-10606	887	6	-	-	PUNCT
easat-10606	887	7	halees	halee	NOUN
easat-10606	887	8	,	,	PUNCT
easat-10606	887	9	"	"	PUNCT
easat-10606	887	10	mining	mining	NOUN
easat-10606	887	11	opinions	opinion	NOUN
easat-10606	887	12	in	in	ADP
easat-10606	887	13	user	user	NOUN
easat-10606	887	14	-	-	PUNCT
easat-10606	887	15	generated	generate	VERB
easat-10606	887	16	contents	content	NOUN
easat-10606	887	17	to	to	PART
easat-10606	887	18	improve	improve	VERB
easat-10606	887	19	course	course	NOUN
easat-10606	887	20	evaluation	evaluation	NOUN
easat-10606	887	21	,	,	PUNCT
easat-10606	887	22	"	"	PUNCT
easat-10606	887	23	in	in	ADP
easat-10606	887	24	international	international	ADJ
easat-10606	887	25	conference	conference	NOUN
easat-10606	887	26	on	on	ADP
easat-10606	887	27	software	software	NOUN
easat-10606	887	28	engineering	engineering	NOUN
easat-10606	887	29	and	and	CCONJ
easat-10606	887	30	computer	computer	NOUN
easat-10606	887	31	systems	system	NOUN
easat-10606	887	32	(	(	PUNCT
easat-10606	887	33	pp	pp	ADJ
easat-10606	887	34	.	.	PUNCT
easat-10606	888	1	107	107	NUM
easat-10606	888	2	-	-	SYM
easat-10606	888	3	115	115	NUM
easat-10606	888	4	)	)	PUNCT
easat-10606	888	5	.	.	PUNCT
easat-10606	889	1	berlin	berlin	PROPN
easat-10606	889	2	,	,	PUNCT
easat-10606	889	3	heidelberg	heidelberg	PROPN
easat-10606	889	4	:	:	PUNCT
easat-10606	889	5	springer	springer	PROPN
easat-10606	889	6	berlin	berlin	PROPN
easat-10606	889	7	heidelberg	heidelberg	PROPN
easat-10606	889	8	,	,	PUNCT
easat-10606	889	9	2011	2011	NUM
easat-10606	889	10	.	.	PUNCT
easat-10606	890	1	[	[	X
easat-10606	890	2	65	65	NUM
easat-10606	890	3	]	]	X
easat-10606	890	4	n.	n.	PROPN
easat-10606	890	5	altrabsheh	altrabsheh	PROPN
easat-10606	890	6	,	,	PUNCT
easat-10606	890	7	m.	m.	NOUN
easat-10606	890	8	cocea	cocea	PROPN
easat-10606	890	9	,	,	PUNCT
easat-10606	890	10	and	and	CCONJ
easat-10606	890	11	s.	s.	PROPN
easat-10606	890	12	fallahkhair	fallahkhair	PROPN
easat-10606	890	13	,	,	PUNCT
easat-10606	890	14	"	"	PUNCT
easat-10606	890	15	sentiment	sentiment	NOUN
easat-10606	890	16	analysis	analysis	NOUN
easat-10606	890	17	:	:	PUNCT
easat-10606	890	18	towards	towards	ADP
easat-10606	890	19	a	a	DET
easat-10606	890	20	tool	tool	NOUN
easat-10606	890	21	for	for	ADP
easat-10606	890	22	analysing	analyse	VERB
easat-10606	890	23	real	real	ADJ
easat-10606	890	24	-	-	PUNCT
easat-10606	890	25	time	time	NOUN
easat-10606	890	26	students	student	NOUN
easat-10606	890	27	feedback	feedback	VERB
easat-10606	890	28	,	,	PUNCT
easat-10606	890	29	"	"	PUNCT
easat-10606	890	30	in	in	ADP
easat-10606	890	31	2014	2014	NUM
easat-10606	890	32	ieee	ieee	NOUN
easat-10606	890	33	26th	26th	ADJ
easat-10606	890	34	international	international	ADJ
easat-10606	890	35	conference	conference	NOUN
easat-10606	890	36	on	on	ADP
easat-10606	890	37	tools	tool	NOUN
easat-10606	890	38	with	with	ADP
easat-10606	890	39	artificial	artificial	ADJ
easat-10606	890	40	intelligence	intelligence	NOUN
easat-10606	890	41	(	(	PUNCT
easat-10606	890	42	pp	pp	ADJ
easat-10606	890	43	.	.	PUNCT
easat-10606	891	1	419	419	NUM
easat-10606	891	2	-	-	SYM
easat-10606	891	3	423	423	NUM
easat-10606	891	4	)	)	PUNCT
easat-10606	891	5	.	.	PUNCT
easat-10606	892	1	ieee	ieee	PROPN
easat-10606	892	2	,	,	PUNCT
easat-10606	892	3	2014	2014	NUM
easat-10606	892	4	.	.	PUNCT
easat-10606	893	1	[	[	X
easat-10606	893	2	66	66	NUM
easat-10606	893	3	]	]	PUNCT
easat-10606	893	4	r.	r.	PROPN
easat-10606	893	5	jindal	jindal	PROPN
easat-10606	893	6	and	and	CCONJ
easat-10606	893	7	m.	m.	PROPN
easat-10606	893	8	d.	d.	PROPN
easat-10606	893	9	borah	borah	PROPN
easat-10606	893	10	,	,	PUNCT
easat-10606	893	11	"	"	PUNCT
easat-10606	893	12	a	a	DET
easat-10606	893	13	survey	survey	NOUN
easat-10606	893	14	on	on	ADP
easat-10606	893	15	educational	educational	ADJ
easat-10606	893	16	data	datum	NOUN
easat-10606	893	17	mining	mining	NOUN
easat-10606	893	18	and	and	CCONJ
easat-10606	893	19	research	research	NOUN
easat-10606	893	20	trends	trend	NOUN
easat-10606	893	21	,	,	PUNCT
easat-10606	893	22	"	"	PUNCT
easat-10606	893	23	international	international	ADJ
easat-10606	893	24	journal	journal	NOUN
easat-10606	893	25	of	of	ADP
easat-10606	893	26	database	database	PROPN
easat-10606	893	27	management	management	NOUN
easat-10606	893	28	systems	system	NOUN
easat-10606	893	29	,	,	PUNCT
easat-10606	893	30	vol	vol	NOUN
easat-10606	893	31	.	.	PROPN
easat-10606	893	32	5	5	NUM
easat-10606	893	33	,	,	PUNCT
easat-10606	893	34	no	no	INTJ
easat-10606	893	35	.	.	NOUN
easat-10606	893	36	3	3	NUM
easat-10606	893	37	,	,	PUNCT
easat-10606	893	38	p.	p.	NOUN
easat-10606	893	39	53	53	NUM
easat-10606	893	40	,	,	PUNCT
easat-10606	893	41	2013	2013	NUM
easat-10606	893	42	.	.	PUNCT
easat-10606	894	1	[	[	X
easat-10606	894	2	67	67	NUM
easat-10606	894	3	]	]	X
easat-10606	894	4	i.	i.	PROPN
easat-10606	894	5	a.	a.	PROPN
easat-10606	894	6	kandhro	kandhro	PROPN
easat-10606	894	7	,	,	PUNCT
easat-10606	894	8	m.	m.	NOUN
easat-10606	894	9	a.	a.	PROPN
easat-10606	894	10	chhajro	chhajro	PROPN
easat-10606	894	11	,	,	PUNCT
easat-10606	894	12	k.	k.	PROPN
easat-10606	894	13	kumar	kumar	PROPN
easat-10606	894	14	,	,	PUNCT
easat-10606	894	15	h.	h.	PROPN
easat-10606	894	16	n.	n.	PROPN
easat-10606	894	17	lashari	lashari	PROPN
easat-10606	894	18	,	,	PUNCT
easat-10606	894	19	and	and	CCONJ
easat-10606	894	20	u.	u.	PROPN
easat-10606	894	21	khan	khan	PROPN
easat-10606	894	22	,	,	PUNCT
easat-10606	894	23	"	"	PUNCT
easat-10606	894	24	student	student	NOUN
easat-10606	894	25	feedback	feedback	NOUN
easat-10606	894	26	sentiment	sentiment	NOUN
easat-10606	894	27	analysis	analysis	NOUN
easat-10606	894	28	model	model	NOUN
easat-10606	894	29	using	use	VERB
easat-10606	894	30	various	various	ADJ
easat-10606	894	31	machine	machine	NOUN
easat-10606	894	32	learning	learn	VERB
easat-10606	894	33	schemes	scheme	NOUN
easat-10606	894	34	:	:	PUNCT
easat-10606	894	35	a	a	DET
easat-10606	894	36	review	review	NOUN
easat-10606	894	37	,	,	PUNCT
easat-10606	894	38	"	"	PUNCT
easat-10606	894	39	indian	indian	ADJ
easat-10606	894	40	journal	journal	NOUN
easat-10606	894	41	of	of	ADP
easat-10606	894	42	science	science	NOUN
easat-10606	894	43	and	and	CCONJ
easat-10606	894	44	technology	technology	NOUN
easat-10606	894	45	,	,	PUNCT
easat-10606	894	46	vol	vol	NOUN
easat-10606	894	47	.	.	PROPN
easat-10606	894	48	12	12	NUM
easat-10606	894	49	,	,	PUNCT
easat-10606	894	50	no	no	INTJ
easat-10606	894	51	.	.	NOUN
easat-10606	894	52	14	14	NUM
easat-10606	894	53	,	,	PUNCT
easat-10606	894	54	pp	pp	ADJ
easat-10606	894	55	.	.	PUNCT
easat-10606	895	1	1	1	NUM
easat-10606	895	2	-	-	SYM
easat-10606	895	3	9	9	NUM
easat-10606	895	4	,	,	PUNCT
easat-10606	895	5	2019	2019	NUM
easat-10606	895	6	.	.	PUNCT
easat-10606	895	7	https://doi:10.17485	https://doi:10.17485	NOUN
easat-10606	895	8	/	/	SYM
easat-10606	895	9	ijst/2019	ijst/2019	PROPN
easat-10606	895	10	/	/	SYM
easat-10606	895	11	v12i14/143243	v12i14/143243	PROPN
easat-10606	896	1	[	[	X
easat-10606	896	2	68	68	NUM
easat-10606	896	3	]	]	X
easat-10606	896	4	r.	r.	PROPN
easat-10606	896	5	jena	jena	PROPN
easat-10606	896	6	,	,	PUNCT
easat-10606	896	7	"	"	PUNCT
easat-10606	896	8	understanding	understand	VERB
easat-10606	896	9	academic	academic	ADJ
easat-10606	896	10	achievement	achievement	NOUN
easat-10606	896	11	emotions	emotion	NOUN
easat-10606	896	12	towards	towards	ADP
easat-10606	896	13	business	business	NOUN
easat-10606	896	14	analytics	analytic	NOUN
easat-10606	896	15	course	course	NOUN
easat-10606	896	16	:	:	PUNCT
easat-10606	896	17	a	a	DET
easat-10606	896	18	case	case	NOUN
easat-10606	896	19	study	study	NOUN
easat-10606	896	20	among	among	ADP
easat-10606	896	21	business	business	NOUN
easat-10606	896	22	management	management	NOUN
easat-10606	896	23	students	student	NOUN
easat-10606	896	24	from	from	ADP
easat-10606	896	25	india	india	PROPN
easat-10606	896	26	,	,	PUNCT
easat-10606	896	27	"	"	PUNCT
easat-10606	896	28	computers	computer	NOUN
easat-10606	896	29	in	in	ADP
easat-10606	896	30	human	human	ADJ
easat-10606	896	31	behavior	behavior	NOUN
easat-10606	896	32	,	,	PUNCT
easat-10606	896	33	vol	vol	NOUN
easat-10606	896	34	.	.	PROPN
easat-10606	896	35	92	92	NUM
easat-10606	896	36	,	,	PUNCT
easat-10606	896	37	pp	pp	ADJ
easat-10606	896	38	.	.	PUNCT
easat-10606	897	1	716	716	NUM
easat-10606	897	2	-	-	SYM
easat-10606	897	3	723	723	NUM
easat-10606	897	4	,	,	PUNCT
easat-10606	897	5	2019	2019	NUM
easat-10606	897	6	.	.	PUNCT
easat-10606	898	1	[	[	X
easat-10606	898	2	69	69	NUM
easat-10606	898	3	]	]	PUNCT
easat-10606	898	4	k.	k.	PROPN
easat-10606	898	5	suppala	suppala	PROPN
easat-10606	898	6	and	and	CCONJ
easat-10606	898	7	n.	n.	PROPN
easat-10606	898	8	rao	rao	PROPN
easat-10606	898	9	,	,	PUNCT
easat-10606	898	10	"	"	PUNCT
easat-10606	898	11	sentiment	sentiment	NOUN
easat-10606	898	12	analysis	analysis	NOUN
easat-10606	898	13	using	use	VERB
easat-10606	898	14	naïve	naïve	ADJ
easat-10606	898	15	bayes	bayes	NOUN
easat-10606	898	16	classifier	classifier	NOUN
easat-10606	898	17	,	,	PUNCT
easat-10606	898	18	"	"	PUNCT
easat-10606	898	19	international	international	ADJ
easat-10606	898	20	journal	journal	NOUN
easat-10606	898	21	of	of	ADP
easat-10606	898	22	innovation	innovation	NOUN
easat-10606	898	23	technology	technology	PROPN
easat-10606	898	24	explorative	explorative	ADJ
easat-10606	898	25	engineering	engineering	NOUN
easat-10606	898	26	,	,	PUNCT
easat-10606	898	27	vol	vol	NOUN
easat-10606	898	28	.	.	PROPN
easat-10606	898	29	8	8	NUM
easat-10606	898	30	,	,	PUNCT
easat-10606	898	31	no	no	INTJ
easat-10606	898	32	.	.	NOUN
easat-10606	898	33	8	8	NUM
easat-10606	898	34	,	,	PUNCT
easat-10606	898	35	pp	pp	ADJ
easat-10606	898	36	.	.	PUNCT
easat-10606	899	1	264–269	264–269	NUM
easat-10606	899	2	,	,	PUNCT
easat-10606	899	3	2019	2019	NUM
easat-10606	899	4	.	.	PUNCT
easat-10606	900	1	[	[	X
easat-10606	900	2	70	70	NUM
easat-10606	900	3	]	]	X
easat-10606	900	4	m.	m.	NOUN
easat-10606	900	5	stapel	stapel	PROPN
easat-10606	900	6	,	,	PUNCT
easat-10606	900	7	z.	z.	PROPN
easat-10606	900	8	zheng	zheng	PROPN
easat-10606	900	9	,	,	PUNCT
easat-10606	900	10	and	and	CCONJ
easat-10606	900	11	n.	n.	PROPN
easat-10606	900	12	pinkwart	pinkwart	PROPN
easat-10606	900	13	,	,	PUNCT
easat-10606	900	14	"	"	PUNCT
easat-10606	900	15	an	an	DET
easat-10606	900	16	ensemble	ensemble	ADJ
easat-10606	900	17	method	method	NOUN
easat-10606	900	18	to	to	PART
easat-10606	900	19	predict	predict	VERB
easat-10606	900	20	student	student	NOUN
easat-10606	900	21	performance	performance	NOUN
easat-10606	900	22	in	in	ADP
easat-10606	900	23	an	an	DET
easat-10606	900	24	online	online	ADJ
easat-10606	900	25	math	math	NOUN
easat-10606	900	26	learning	learning	PROPN
easat-10606	900	27	environment	environment	NOUN
easat-10606	900	28	,	,	PUNCT
easat-10606	900	29	"	"	PUNCT
easat-10606	900	30	proceedings	proceeding	NOUN
easat-10606	900	31	of	of	ADP
easat-10606	900	32	the	the	DET
easat-10606	900	33	international	international	ADJ
easat-10606	900	34	educational	educational	ADJ
easat-10606	900	35	data	datum	NOUN
easat-10606	900	36	mining	mining	NOUN
easat-10606	900	37	societ	societ	PROPN
easat-10606	900	38	,	,	PUNCT
easat-10606	900	39	2016	2016	NUM
easat-10606	900	40	.	.	PUNCT
easat-10606	901	1	[	[	X
easat-10606	901	2	71	71	NUM
easat-10606	901	3	]	]	X
easat-10606	901	4	o.	o.	PROPN
easat-10606	901	5	w.	w.	PROPN
easat-10606	901	6	adejo	adejo	PROPN
easat-10606	901	7	and	and	CCONJ
easat-10606	901	8	t.	t.	PROPN
easat-10606	901	9	connolly	connolly	PROPN
easat-10606	901	10	,	,	PUNCT
easat-10606	901	11	"	"	PUNCT
easat-10606	901	12	predicting	predict	VERB
easat-10606	901	13	student	student	NOUN
easat-10606	901	14	academic	academic	ADJ
easat-10606	901	15	performance	performance	NOUN
easat-10606	901	16	using	use	VERB
easat-10606	901	17	multi	multi	ADJ
easat-10606	901	18	-	-	ADJ
easat-10606	901	19	model	model	ADJ
easat-10606	901	20	heterogeneous	heterogeneous	ADJ
easat-10606	901	21	ensemble	ensemble	ADJ
easat-10606	901	22	approach	approach	NOUN
easat-10606	901	23	,	,	PUNCT
easat-10606	901	24	"	"	PUNCT
easat-10606	901	25	journal	journal	NOUN
easat-10606	901	26	of	of	ADP
easat-10606	901	27	applied	apply	VERB
easat-10606	901	28	research	research	NOUN
easat-10606	901	29	in	in	ADP
easat-10606	901	30	higher	high	ADJ
easat-10606	901	31	education	education	NOUN
easat-10606	901	32	,	,	PUNCT
easat-10606	901	33	vol	vol	NOUN
easat-10606	901	34	.	.	PROPN
easat-10606	901	35	10	10	NUM
easat-10606	901	36	,	,	PUNCT
easat-10606	901	37	no	no	INTJ
easat-10606	901	38	.	.	NOUN
easat-10606	901	39	1	1	NUM
easat-10606	901	40	,	,	PUNCT
easat-10606	901	41	pp	pp	ADJ
easat-10606	901	42	.	.	PUNCT
easat-10606	902	1	61	61	NUM
easat-10606	902	2	-	-	SYM
easat-10606	902	3	75	75	NUM
easat-10606	902	4	,	,	PUNCT
easat-10606	902	5	2018	2018	NUM
easat-10606	902	6	.	.	PUNCT
easat-10606	903	1	https://doi.org/10.1108/jarhe-09-2017-0113	https://doi.org/10.1108/jarhe-09-2017-0113	VERB
easat-10606	904	1	[	[	X
easat-10606	904	2	72	72	NUM
easat-10606	904	3	]	]	PUNCT
easat-10606	904	4	p.	p.	NOUN
easat-10606	904	5	kumari	kumari	PROPN
easat-10606	904	6	,	,	PUNCT
easat-10606	904	7	p.	p.	PROPN
easat-10606	904	8	k.	k.	PROPN
easat-10606	904	9	jain	jain	PROPN
easat-10606	904	10	,	,	PUNCT
easat-10606	904	11	and	and	CCONJ
easat-10606	904	12	r.	r.	PROPN
easat-10606	904	13	pamula	pamula	NOUN
easat-10606	904	14	,	,	PUNCT
easat-10606	904	15	"	"	PUNCT
easat-10606	904	16	an	an	DET
easat-10606	904	17	efficient	efficient	ADJ
easat-10606	904	18	use	use	NOUN
easat-10606	904	19	of	of	ADP
easat-10606	904	20	ensemble	ensemble	ADJ
easat-10606	904	21	methods	method	NOUN
easat-10606	904	22	to	to	PART
easat-10606	904	23	predict	predict	VERB
easat-10606	904	24	students	student	NOUN
easat-10606	904	25	academic	academic	ADJ
easat-10606	904	26	performance	performance	NOUN
easat-10606	904	27	,	,	PUNCT
easat-10606	904	28	"	"	PUNCT
easat-10606	904	29	in	in	ADP
easat-10606	904	30	2018	2018	NUM
easat-10606	904	31	4th	4th	ADJ
easat-10606	904	32	international	international	ADJ
easat-10606	904	33	conference	conference	NOUN
easat-10606	904	34	on	on	ADP
easat-10606	904	35	recent	recent	ADJ
easat-10606	904	36	advances	advance	NOUN
easat-10606	904	37	in	in	ADP
easat-10606	904	38	information	information	NOUN
easat-10606	904	39	technology	technology	NOUN
easat-10606	904	40	(	(	PUNCT
easat-10606	904	41	rait	rait	ADJ
easat-10606	904	42	)	)	PUNCT
easat-10606	904	43	(	(	PUNCT
easat-10606	904	44	pp	pp	X
easat-10606	904	45	.	.	PUNCT
easat-10606	905	1	1	1	NUM
easat-10606	905	2	-	-	SYM
easat-10606	905	3	6	6	NUM
easat-10606	905	4	)	)	PUNCT
easat-10606	905	5	.	.	PUNCT
easat-10606	906	1	ieee	ieee	NOUN
easat-10606	906	2	,	,	PUNCT
easat-10606	906	3	2018	2018	NUM
easat-10606	906	4	.	.	PUNCT
easat-10606	907	1	[	[	X
easat-10606	907	2	73	73	NUM
easat-10606	907	3	]	]	PUNCT
easat-10606	907	4	s.-s	s.-	NOUN
easat-10606	907	5	.	.	PUNCT
easat-10606	908	1	m.	m.	NOUN
easat-10606	908	2	ajibade	ajibade	PROPN
easat-10606	908	3	,	,	PUNCT
easat-10606	908	4	n.	n.	PROPN
easat-10606	908	5	bahiah	bahiah	PROPN
easat-10606	908	6	binti	binti	PROPN
easat-10606	908	7	ahmad	ahmad	PROPN
easat-10606	908	8	,	,	PUNCT
easat-10606	908	9	and	and	CCONJ
easat-10606	908	10	s.	s.	PROPN
easat-10606	908	11	mariyam	mariyam	PROPN
easat-10606	908	12	shamsuddin	shamsuddin	NOUN
easat-10606	908	13	,	,	PUNCT
easat-10606	908	14	"	"	PUNCT
easat-10606	908	15	educational	educational	ADJ
easat-10606	908	16	data	datum	NOUN
easat-10606	908	17	mining	mining	NOUN
easat-10606	908	18	:	:	PUNCT
easat-10606	908	19	enhancement	enhancement	NOUN
easat-10606	908	20	of	of	ADP
easat-10606	908	21	student	student	NOUN
easat-10606	908	22	performance	performance	NOUN
easat-10606	908	23	model	model	NOUN
easat-10606	908	24	using	use	VERB
easat-10606	908	25	ensemble	ensemble	ADJ
easat-10606	908	26	methods	method	NOUN
easat-10606	908	27	,	,	PUNCT
easat-10606	908	28	"	"	PUNCT
easat-10606	908	29	in	in	ADP
easat-10606	908	30	iop	iop	PROPN
easat-10606	908	31	conference	conference	NOUN
easat-10606	908	32	series	series	NOUN
easat-10606	908	33	:	:	PUNCT
easat-10606	908	34	materials	material	NOUN
easat-10606	908	35	science	science	NOUN
easat-10606	908	36	and	and	CCONJ
easat-10606	908	37	engineering	engineering	NOUN
easat-10606	908	38	(	(	PUNCT
easat-10606	908	39	vol	vol	NOUN
easat-10606	908	40	.	.	PROPN
easat-10606	909	1	551	551	NUM
easat-10606	909	2	,	,	PUNCT
easat-10606	909	3	no	no	INTJ
easat-10606	909	4	.	.	NOUN
easat-10606	909	5	1	1	NUM
easat-10606	909	6	,	,	PUNCT
easat-10606	909	7	p.	p.	NOUN
easat-10606	909	8	012061	012061	NUM
easat-10606	909	9	)	)	PUNCT
easat-10606	909	10	.	.	PUNCT
easat-10606	910	1	iop	iop	PROPN
easat-10606	910	2	publishing	publishing	NOUN
easat-10606	910	3	,	,	PUNCT
easat-10606	910	4	2019	2019	NUM
easat-10606	910	5	.	.	PUNCT
easat-10606	911	1	[	[	X
easat-10606	911	2	74	74	NUM
easat-10606	911	3	]	]	PUNCT
easat-10606	911	4	m.	m.	NOUN
easat-10606	911	5	zounemat	zounemat	PROPN
easat-10606	911	6	-	-	PUNCT
easat-10606	911	7	kermani	kermani	PROPN
easat-10606	911	8	,	,	PUNCT
easat-10606	911	9	o.	o.	PROPN
easat-10606	911	10	batelaan	batelaan	PROPN
easat-10606	911	11	,	,	PUNCT
easat-10606	911	12	m.	m.	NOUN
easat-10606	911	13	fadaee	fadaee	PROPN
easat-10606	911	14	,	,	PUNCT
easat-10606	911	15	and	and	CCONJ
easat-10606	911	16	r.	r.	PROPN
easat-10606	911	17	hinkelmann	hinkelmann	PROPN
easat-10606	911	18	,	,	PUNCT
easat-10606	911	19	"	"	PUNCT
easat-10606	911	20	ensemble	ensemble	ADJ
easat-10606	911	21	machine	machine	NOUN
easat-10606	911	22	learning	learning	NOUN
easat-10606	911	23	paradigms	paradigm	VERB
easat-10606	911	24	in	in	ADP
easat-10606	911	25	hydrology	hydrology	NOUN
easat-10606	911	26	:	:	PUNCT
easat-10606	911	27	a	a	DET
easat-10606	911	28	review	review	NOUN
easat-10606	911	29	,	,	PUNCT
easat-10606	911	30	"	"	PUNCT
easat-10606	911	31	journal	journal	NOUN
easat-10606	911	32	of	of	ADP
easat-10606	911	33	hydrology	hydrology	NOUN
easat-10606	911	34	,	,	PUNCT
easat-10606	911	35	vol	vol	NOUN
easat-10606	911	36	.	.	PROPN
easat-10606	911	37	598	598	NUM
easat-10606	911	38	,	,	PUNCT
easat-10606	911	39	p.	p.	NOUN
easat-10606	911	40	126266	126266	NUM
easat-10606	911	41	,	,	PUNCT
easat-10606	911	42	2021	2021	NUM
easat-10606	911	43	.	.	PUNCT
easat-10606	912	1	https://doi.org/10.1016/j.jhydrol.2021.126266	https://doi.org/10.1016/j.jhydrol.2021.126266	NOUN
easat-10606	913	1	[	[	X
easat-10606	913	2	75	75	NUM
easat-10606	913	3	]	]	X
easat-10606	913	4	y.	y.	PROPN
easat-10606	913	5	li	li	PROPN
easat-10606	913	6	,	,	PUNCT
easat-10606	913	7	z.	z.	PROPN
easat-10606	913	8	liang	liang	PROPN
easat-10606	913	9	,	,	PUNCT
easat-10606	913	10	y.	y.	PROPN
easat-10606	913	11	hu	hu	PROPN
easat-10606	913	12	,	,	PUNCT
easat-10606	913	13	b.	b.	PROPN
easat-10606	913	14	li	li	PROPN
easat-10606	913	15	,	,	PUNCT
easat-10606	913	16	b.	b.	PROPN
easat-10606	913	17	xu	xu	PROPN
easat-10606	913	18	,	,	PUNCT
easat-10606	913	19	and	and	CCONJ
easat-10606	913	20	d.	d.	PROPN
easat-10606	913	21	wang	wang	PROPN
easat-10606	913	22	,	,	PUNCT
easat-10606	913	23	"	"	PUNCT
easat-10606	913	24	a	a	DET
easat-10606	913	25	multi	multi	ADJ
easat-10606	913	26	-	-	ADJ
easat-10606	913	27	model	model	ADJ
easat-10606	913	28	integration	integration	NOUN
easat-10606	913	29	method	method	NOUN
easat-10606	913	30	for	for	ADP
easat-10606	913	31	monthly	monthly	ADJ
easat-10606	913	32	streamflow	streamflow	NOUN
easat-10606	913	33	prediction	prediction	NOUN
easat-10606	913	34	:	:	PUNCT
easat-10606	913	35	modified	modify	VERB
easat-10606	913	36	stacking	stack	VERB
easat-10606	913	37	ensemble	ensemble	ADJ
easat-10606	913	38	strategy	strategy	NOUN
easat-10606	913	39	,	,	PUNCT
easat-10606	913	40	"	"	PUNCT
easat-10606	913	41	journal	journal	NOUN
easat-10606	913	42	of	of	ADP
easat-10606	913	43	hydroinformatics	hydroinformatic	NOUN
easat-10606	913	44	,	,	PUNCT
easat-10606	913	45	vol	vol	NOUN
easat-10606	913	46	.	.	PROPN
easat-10606	913	47	22	22	NUM
easat-10606	913	48	,	,	PUNCT
easat-10606	913	49	no	no	INTJ
easat-10606	913	50	.	.	NOUN
easat-10606	913	51	2	2	NUM
easat-10606	913	52	,	,	PUNCT
easat-10606	913	53	pp	pp	ADJ
easat-10606	913	54	.	.	PUNCT
easat-10606	914	1	310	310	NUM
easat-10606	914	2	-	-	SYM
easat-10606	914	3	326	326	NUM
easat-10606	914	4	,	,	PUNCT
easat-10606	914	5	2020	2020	NUM
easat-10606	914	6	.	.	PUNCT
easat-10606	915	1	[	[	X
easat-10606	915	2	76	76	NUM
easat-10606	915	3	]	]	X
easat-10606	915	4	l.	l.	PROPN
easat-10606	915	5	wang	wang	PROPN
easat-10606	915	6	et	et	PROPN
easat-10606	915	7	al	al	PROPN
easat-10606	915	8	.	.	PROPN
easat-10606	915	9	,	,	PUNCT
easat-10606	915	10	"	"	PUNCT
easat-10606	915	11	improving	improve	VERB
easat-10606	915	12	the	the	DET
easat-10606	915	13	robustness	robustness	NOUN
easat-10606	915	14	of	of	ADP
easat-10606	915	15	beach	beach	NOUN
easat-10606	915	16	water	water	NOUN
easat-10606	915	17	quality	quality	NOUN
easat-10606	915	18	modeling	modeling	NOUN
easat-10606	915	19	using	use	VERB
easat-10606	915	20	an	an	DET
easat-10606	915	21	ensemble	ensemble	ADJ
easat-10606	915	22	machine	machine	NOUN
easat-10606	915	23	learning	learning	NOUN
easat-10606	915	24	approach	approach	NOUN
easat-10606	915	25	,	,	PUNCT
easat-10606	915	26	"	"	PUNCT
easat-10606	915	27	science	science	NOUN
easat-10606	915	28	of	of	ADP
easat-10606	915	29	the	the	DET
easat-10606	915	30	total	total	ADJ
easat-10606	915	31	environment	environment	NOUN
easat-10606	915	32	,	,	PUNCT
easat-10606	915	33	vol	vol	NOUN
easat-10606	915	34	.	.	PUNCT
easat-10606	916	1	765	765	NUM
easat-10606	916	2	,	,	PUNCT
easat-10606	916	3	p.	p.	NOUN
easat-10606	916	4	142760	142760	NUM
easat-10606	916	5	,	,	PUNCT
easat-10606	916	6	2021	2021	NUM
easat-10606	916	7	.	.	PUNCT
easat-10606	917	1	https://doi.org/10.1016/j.scitotenv.2020.142760	https://doi.org/10.1016/j.scitotenv.2020.142760	NOUN
easat-10606	918	1	[	[	X
easat-10606	918	2	77	77	X
easat-10606	918	3	]	]	X
easat-10606	918	4	k.	k.	PROPN
easat-10606	918	5	a.	a.	PROPN
easat-10606	918	6	kesavaram	kesavaram	PROPN
easat-10606	918	7	,	,	PUNCT
easat-10606	918	8	n.	n.	PROPN
easat-10606	918	9	m.	m.	PROPN
easat-10606	918	10	periya	periya	PROPN
easat-10606	918	11	,	,	PUNCT
easat-10606	918	12	and	and	CCONJ
easat-10606	918	13	d.	d.	PROPN
easat-10606	918	14	indra	indra	PROPN
easat-10606	918	15	,	,	PUNCT
easat-10606	918	16	"	"	PUNCT
easat-10606	918	17	customer	customer	NOUN
easat-10606	918	18	feedback	feedback	NOUN
easat-10606	918	19	evaluation	evaluation	NOUN
easat-10606	918	20	system	system	NOUN
easat-10606	918	21	using	use	VERB
easat-10606	918	22	feature	feature	NOUN
easat-10606	918	23	-	-	PUNCT
easat-10606	918	24	based	base	VERB
easat-10606	918	25	opinion	opinion	NOUN
easat-10606	918	26	mining	mining	NOUN
easat-10606	918	27	,	,	PUNCT
easat-10606	918	28	"	"	PUNCT
easat-10606	918	29	department	department	NOUN
easat-10606	918	30	of	of	ADP
easat-10606	918	31	computer	computer	NOUN
easat-10606	918	32	science	science	NOUN
easat-10606	918	33	and	and	CCONJ
easat-10606	918	34	engineering	engineering	NOUN
easat-10606	918	35	,	,	PUNCT
easat-10606	918	36	kamaraj	kamaraj	ADJ
easat-10606	918	37	college	college	NOUN
easat-10606	918	38	of	of	ADP
easat-10606	918	39	engineering	engineering	NOUN
easat-10606	918	40	and	and	CCONJ
easat-10606	918	41	technology	technology	NOUN
easat-10606	918	42	,	,	PUNCT
easat-10606	918	43	virudhunagar	virudhunagar	NOUN
easat-10606	918	44	,	,	PUNCT
easat-10606	918	45	tamil	tamil	PROPN
easat-10606	918	46	nadu	nadu	PROPN
easat-10606	918	47	,	,	PUNCT
easat-10606	918	48	india	india	PROPN
easat-10606	918	49	,	,	PUNCT
easat-10606	918	50	2016	2016	NUM
easat-10606	918	51	.	.	PUNCT
easat-10606	919	1	[	[	X
easat-10606	919	2	78	78	NUM
easat-10606	919	3	]	]	PUNCT
easat-10606	920	1	z.	z.	PROPN
easat-10606	920	2	nasim	nasim	PROPN
easat-10606	920	3	,	,	PUNCT
easat-10606	920	4	q.	q.	PROPN
easat-10606	920	5	rajput	rajput	PROPN
easat-10606	920	6	,	,	PUNCT
easat-10606	920	7	and	and	CCONJ
easat-10606	920	8	s.	s.	PROPN
easat-10606	920	9	haider	haider	PROPN
easat-10606	920	10	,	,	PUNCT
easat-10606	920	11	"	"	PUNCT
easat-10606	920	12	sentiment	sentiment	NOUN
easat-10606	920	13	analysis	analysis	NOUN
easat-10606	920	14	of	of	ADP
easat-10606	920	15	student	student	NOUN
easat-10606	920	16	feedback	feedback	NOUN
easat-10606	920	17	using	use	VERB
easat-10606	920	18	machine	machine	NOUN
easat-10606	920	19	learning	learning	NOUN
easat-10606	920	20	and	and	CCONJ
easat-10606	920	21	lexicon	lexicon	NOUN
easat-10606	920	22	based	base	VERB
easat-10606	920	23	approaches	approach	NOUN
easat-10606	920	24	,	,	PUNCT
easat-10606	920	25	"	"	PUNCT
easat-10606	920	26	in	in	ADP
easat-10606	920	27	2017	2017	NUM
easat-10606	920	28	international	international	ADJ
easat-10606	920	29	conference	conference	NOUN
easat-10606	920	30	on	on	ADP
easat-10606	920	31	research	research	NOUN
easat-10606	920	32	and	and	CCONJ
easat-10606	920	33	innovation	innovation	NOUN
easat-10606	920	34	in	in	ADP
easat-10606	920	35	information	information	NOUN
easat-10606	920	36	systems	system	NOUN
easat-10606	920	37	(	(	PUNCT
easat-10606	920	38	icriis	icrii	VERB
easat-10606	920	39	)	)	PUNCT
easat-10606	920	40	(	(	PUNCT
easat-10606	920	41	pp	pp	X
easat-10606	920	42	.	.	PUNCT
easat-10606	921	1	1	1	NUM
easat-10606	921	2	-	-	SYM
easat-10606	921	3	6	6	NUM
easat-10606	921	4	)	)	PUNCT
easat-10606	921	5	.	.	PUNCT
easat-10606	922	1	ieee	ieee	PROPN
easat-10606	922	2	,	,	PUNCT
easat-10606	922	3	2017	2017	NUM
easat-10606	922	4	.	.	PUNCT
easat-10606	923	1	[	[	X
easat-10606	923	2	79	79	NUM
easat-10606	923	3	]	]	PUNCT
easat-10606	923	4	j.	j.	PROPN
easat-10606	923	5	sultana	sultana	PROPN
easat-10606	923	6	,	,	PUNCT
easat-10606	923	7	n.	n.	NOUN
easat-10606	923	8	sultana	sultana	PROPN
easat-10606	923	9	,	,	PUNCT
easat-10606	923	10	k.	k.	PROPN
easat-10606	923	11	yadav	yadav	PROPN
easat-10606	923	12	,	,	PUNCT
easat-10606	923	13	and	and	CCONJ
easat-10606	923	14	f.	f.	PROPN
easat-10606	923	15	alvarez	alvarez	PROPN
easat-10606	923	16	,	,	PUNCT
easat-10606	923	17	"	"	PUNCT
easat-10606	923	18	prediction	prediction	NOUN
easat-10606	923	19	of	of	ADP
easat-10606	923	20	sentiment	sentiment	NOUN
easat-10606	923	21	analysis	analysis	NOUN
easat-10606	923	22	on	on	ADP
easat-10606	923	23	educational	educational	ADJ
easat-10606	923	24	data	datum	NOUN
easat-10606	923	25	on	on	ADP
easat-10606	923	26	a	a	DET
easat-10606	923	27	deep	deep	ADJ
easat-10606	923	28	learning	learning	NOUN
easat-10606	923	29	approach	approach	NOUN
easat-10606	923	30	,	,	PUNCT
easat-10606	923	31	"	"	PUNCT
easat-10606	923	32	in	in	ADP
easat-10606	923	33	proceedings	proceeding	NOUN
easat-10606	923	34	of	of	ADP
easat-10606	923	35	the	the	DET
easat-10606	923	36	21st	21st	ADJ
easat-10606	923	37	saudi	saudi	ADJ
easat-10606	923	38	computer	computer	NOUN
easat-10606	923	39	society	society	PROPN
easat-10606	923	40	national	national	PROPN
easat-10606	923	41	computer	computer	PROPN
easat-10606	923	42	conference	conference	NOUN
easat-10606	923	43	(	(	PUNCT
easat-10606	923	44	ncc	ncc	NOUN
easat-10606	923	45	2018	2018	NUM
easat-10606	923	46	)	)	PUNCT
easat-10606	923	47	(	(	PUNCT
easat-10606	923	48	pp	pp	ADV
easat-10606	923	49	.	.	PUNCT
easat-10606	924	1	1–5	1–5	NUM
easat-10606	924	2	)	)	PUNCT
easat-10606	924	3	.	.	PUNCT
easat-10606	925	1	riyadh	riyadh	PROPN
easat-10606	925	2	,	,	PUNCT
easat-10606	925	3	saudi	saudi	PROPN
easat-10606	925	4	arabia	arabia	PROPN
easat-10606	925	5	,	,	PUNCT
easat-10606	925	6	2018	2018	NUM
easat-10606	925	7	.	.	PUNCT
easat-10606	926	1	[	[	X
easat-10606	926	2	80	80	NUM
easat-10606	926	3	]	]	PUNCT
easat-10606	926	4	a.	a.	NOUN
easat-10606	926	5	m.	m.	NOUN
easat-10606	926	6	ramadhani	ramadhani	PROPN
easat-10606	926	7	and	and	CCONJ
easat-10606	926	8	h.	h.	PROPN
easat-10606	926	9	s.	s.	PROPN
easat-10606	926	10	goo	goo	PROPN
easat-10606	926	11	,	,	PUNCT
easat-10606	926	12	"	"	PUNCT
easat-10606	926	13	twitter	twitter	NOUN
easat-10606	926	14	sentiment	sentiment	NOUN
easat-10606	926	15	analysis	analysis	NOUN
easat-10606	926	16	using	use	VERB
easat-10606	926	17	deep	deep	ADJ
easat-10606	926	18	learning	learning	NOUN
easat-10606	926	19	methods	method	NOUN
easat-10606	926	20	,	,	PUNCT
easat-10606	926	21	"	"	PUNCT
easat-10606	926	22	in	in	ADP
easat-10606	926	23	2017	2017	NUM
easat-10606	926	24	7th	7th	ADJ
easat-10606	926	25	international	international	ADJ
easat-10606	926	26	annual	annual	ADJ
easat-10606	926	27	engineering	engineering	NOUN
easat-10606	926	28	seminar	seminar	NOUN
easat-10606	926	29	(	(	PUNCT
easat-10606	926	30	inaes	inaes	PROPN
easat-10606	926	31	)	)	PUNCT
easat-10606	926	32	(	(	PUNCT
easat-10606	926	33	pp	pp	X
easat-10606	926	34	.	.	PUNCT
easat-10606	927	1	1	1	NUM
easat-10606	927	2	-	-	SYM
easat-10606	927	3	4	4	NUM
easat-10606	927	4	)	)	PUNCT
easat-10606	927	5	.	.	PUNCT
easat-10606	928	1	ieee	ieee	PROPN
easat-10606	928	2	,	,	PUNCT
easat-10606	928	3	2017	2017	NUM
easat-10606	928	4	.	.	PUNCT
easat-10606	929	1	[	[	X
easat-10606	929	2	81	81	NUM
easat-10606	929	3	]	]	PUNCT
easat-10606	929	4	o.	o.	PROPN
easat-10606	929	5	o.	o.	PROPN
easat-10606	929	6	olabode	olabode	PROPN
easat-10606	929	7	,	,	PUNCT
easat-10606	929	8	a.	a.	NOUN
easat-10606	929	9	o.	o.	PROPN
easat-10606	929	10	adetunmbi	adetunmbi	PROPN
easat-10606	929	11	,	,	PUNCT
easat-10606	929	12	f.	f.	PROPN
easat-10606	929	13	akinbohun	akinbohun	PROPN
easat-10606	929	14	,	,	PUNCT
easat-10606	929	15	and	and	CCONJ
easat-10606	929	16	a.	a.	NOUN
easat-10606	929	17	ambrose	ambrose	PROPN
easat-10606	929	18	,	,	PUNCT
easat-10606	929	19	"	"	PUNCT
easat-10606	929	20	stacked	stack	VERB
easat-10606	929	21	ensemble	ensemble	ADJ
easat-10606	929	22	model	model	NOUN
easat-10606	929	23	for	for	ADP
easat-10606	929	24	diagnosis	diagnosis	NOUN
easat-10606	929	25	of	of	ADP
easat-10606	929	26	head	head	NOUN
easat-10606	929	27	and	and	CCONJ
easat-10606	929	28	neck	neck	NOUN
easat-10606	929	29	cancer	cancer	NOUN
easat-10606	929	30	in	in	ADP
easat-10606	929	31	primary	primary	ADJ
easat-10606	929	32	healthcare	healthcare	NOUN
easat-10606	929	33	system	system	NOUN
easat-10606	929	34	,	,	PUNCT
easat-10606	929	35	"	"	PUNCT
easat-10606	929	36	in	in	ADP
easat-10606	929	37	proceedings	proceeding	NOUN
easat-10606	929	38	of	of	ADP
easat-10606	929	39	the	the	DET
easat-10606	929	40	13th	13th	ADJ
easat-10606	929	41	international	international	ADJ
easat-10606	929	42	multi	multi	NOUN
easat-10606	929	43	-	-	NOUN
easat-10606	929	44	conference	conference	NOUN
easat-10606	929	45	on	on	ADP
easat-10606	929	46	ict	ict	PROPN
easat-10606	929	47	applications	application	NOUN
easat-10606	929	48	:	:	PUNCT
easat-10606	929	49	application	application	NOUN
easat-10606	929	50	of	of	ADP
easat-10606	929	51	information	information	NOUN
easat-10606	929	52	communication	communication	NOUN
easat-10606	929	53	and	and	CCONJ
easat-10606	929	54	technologies	technology	NOUN
easat-10606	929	55	in	in	ADP
easat-10606	929	56	teaching	teaching	NOUN
easat-10606	929	57	,	,	PUNCT
easat-10606	929	58	research	research	NOUN
easat-10606	929	59	and	and	CCONJ
easat-10606	929	60	administration	administration	NOUN
easat-10606	929	61	conference	conference	NOUN
easat-10606	929	62	(	(	PUNCT
easat-10606	929	63	pp	pp	ADJ
easat-10606	929	64	.	.	PUNCT
easat-10606	930	1	5–10	5–10	ADJ
easat-10606	930	2	)	)	PUNCT
easat-10606	930	3	.	.	PUNCT
easat-10606	931	1	lagos	lagos	PROPN
easat-10606	931	2	,	,	PUNCT
easat-10606	931	3	nigeria	nigeria	PROPN
easat-10606	931	4	,	,	PUNCT
easat-10606	931	5	2019	2019	NUM
easat-10606	931	6	.	.	PUNCT
easat-10606	932	1	[	[	X
easat-10606	932	2	82	82	NUM
easat-10606	932	3	]	]	PUNCT
easat-10606	932	4	a.	a.	PROPN
easat-10606	932	5	r.	r.	PROPN
easat-10606	932	6	iyanda	iyanda	PROPN
easat-10606	932	7	and	and	CCONJ
easat-10606	932	8	o.	o.	PROPN
easat-10606	932	9	abegunde	abegunde	PROPN
easat-10606	932	10	,	,	PUNCT
easat-10606	932	11	"	"	PUNCT
easat-10606	932	12	predicting	predict	VERB
easat-10606	932	13	sentiment	sentiment	NOUN
easat-10606	932	14	in	in	ADP
easat-10606	932	15	yorùbá	yorùbá	NOUN
easat-10606	932	16	written	write	VERB
easat-10606	932	17	texts	text	NOUN
easat-10606	932	18	:	:	PUNCT
easat-10606	932	19	a	a	DET
easat-10606	932	20	comparison	comparison	NOUN
easat-10606	932	21	of	of	ADP
easat-10606	932	22	machine	machine	NOUN
easat-10606	932	23	learning	learning	NOUN
easat-10606	932	24	models	model	NOUN
easat-10606	932	25	,	,	PUNCT
easat-10606	932	26	"	"	PUNCT
easat-10606	932	27	in	in	ADP
easat-10606	932	28	proceedings	proceeding	NOUN
easat-10606	932	29	of	of	ADP
easat-10606	932	30	sai	sai	ADJ
easat-10606	932	31	intelligent	intelligent	ADJ
easat-10606	932	32	systems	system	NOUN
easat-10606	932	33	conference	conference	NOUN
easat-10606	932	34	(	(	PUNCT
easat-10606	932	35	pp	pp	ADJ
easat-10606	932	36	.	.	PUNCT
easat-10606	933	1	416	416	NUM
easat-10606	933	2	-	-	NUM
easat-10606	933	3	431	431	NUM
easat-10606	933	4	)	)	PUNCT
easat-10606	933	5	.	.	PUNCT
easat-10606	934	1	cham	cham	PROPN
easat-10606	934	2	:	:	PUNCT
easat-10606	934	3	springer	springer	NOUN
easat-10606	934	4	international	international	ADJ
easat-10606	934	5	publishing	publishing	NOUN
easat-10606	934	6	,	,	PUNCT
easat-10606	934	7	2020	2020	NUM
easat-10606	934	8	.	.	PUNCT
easat-10606	935	1	[	[	X
easat-10606	935	2	83	83	NUM
easat-10606	935	3	]	]	PUNCT
easat-10606	935	4	m.	m.	NOUN
easat-10606	935	5	kavitha	kavitha	PROPN
easat-10606	935	6	and	and	CCONJ
easat-10606	935	7	a.	a.	PROPN
easat-10606	935	8	j.	j.	PROPN
easat-10606	935	9	kumar	kumar	PROPN
easat-10606	935	10	,	,	PUNCT
easat-10606	935	11	"	"	PUNCT
easat-10606	935	12	contextual	contextual	ADJ
easat-10606	935	13	-	-	PUNCT
easat-10606	935	14	cognitive	cognitive	ADJ
easat-10606	935	15	attentive	attentive	ADJ
easat-10606	935	16	lstm	lstm	NOUN
easat-10606	935	17	approach	approach	NOUN
easat-10606	935	18	for	for	ADP
easat-10606	935	19	sentiment	sentiment	NOUN
easat-10606	935	20	analysis	analysis	NOUN
easat-10606	935	21	of	of	ADP
easat-10606	935	22	tamil	tamil	PROPN
easat-10606	935	23	review	review	NOUN
easat-10606	935	24	,	,	PUNCT
easat-10606	935	25	"	"	PUNCT
easat-10606	935	26	turkish	turkish	ADJ
easat-10606	935	27	journal	journal	NOUN
easat-10606	935	28	of	of	ADP
easat-10606	935	29	computer	computer	NOUN
easat-10606	935	30	and	and	CCONJ
easat-10606	935	31	mathematics	mathematics	PROPN
easat-10606	935	32	education	education	NOUN
easat-10606	935	33	(	(	PUNCT
easat-10606	935	34	turcomat	turcomat	NOUN
easat-10606	935	35	)	)	PUNCT
easat-10606	935	36	,	,	PUNCT
easat-10606	935	37	vol	vol	NOUN
easat-10606	935	38	.	.	PROPN
easat-10606	935	39	11	11	NUM
easat-10606	935	40	,	,	PUNCT
easat-10606	935	41	no	no	INTJ
easat-10606	935	42	.	.	NOUN
easat-10606	935	43	3	3	NUM
easat-10606	935	44	,	,	PUNCT
easat-10606	935	45	pp	pp	ADJ
easat-10606	935	46	.	.	PUNCT
easat-10606	936	1	2493–2504	2493–2504	NUM
easat-10606	936	2	,	,	PUNCT
easat-10606	936	3	2020	2020	NUM
easat-10606	936	4	.	.	PUNCT
easat-10606	936	5	https://doi:10.17485	https://doi:10.17485	NOUN
easat-10606	936	6	/	/	SYM
easat-10606	936	7	ijst/2019	ijst/2019	PROPN
easat-10606	936	8	/	/	SYM
easat-10606	936	9	v12i14/143243	v12i14/143243	PROPN
easat-10606	936	10	https://doi.org/10.1108/jarhe-09-2017-0113	https://doi.org/10.1108/jarhe-09-2017-0113	ADJ
easat-10606	936	11	https://doi.org/10.1016/j.jhydrol.2021.126266	https://doi.org/10.1016/j.jhydrol.2021.126266	PROPN
easat-10606	936	12	https://doi.org/10.1016/j.scitotenv.2020.142760	https://doi.org/10.1016/j.scitotenv.2020.142760	PROPN
easat-10606	936	13	1180	1180	NUM
easat-10606	936	14	edelweiss	edelweiss	PROPN
easat-10606	936	15	applied	apply	VERB
easat-10606	936	16	science	science	NOUN
easat-10606	936	17	and	and	CCONJ
easat-10606	936	18	technology	technology	NOUN
easat-10606	936	19	issn	issn	PROPN
easat-10606	936	20	:	:	PUNCT
easat-10606	936	21	2576	2576	NUM
easat-10606	936	22	-	-	SYM
easat-10606	936	23	8484	8484	NUM
easat-10606	936	24	vol	vol	NOUN
easat-10606	936	25	.	.	PROPN
easat-10606	937	1	9	9	NUM
easat-10606	937	2	,	,	PUNCT
easat-10606	937	3	no	no	INTJ
easat-10606	937	4	.	.	NOUN
easat-10606	937	5	10	10	NUM
easat-10606	937	6	:	:	SYM
easat-10606	937	7	1149	1149	NUM
easat-10606	937	8	-	-	SYM
easat-10606	937	9	1180	1180	NUM
easat-10606	937	10	,	,	PUNCT
easat-10606	937	11	2025	2025	NUM
easat-10606	937	12	doi	doi	NOUN
easat-10606	937	13	:	:	PUNCT
easat-10606	937	14	10.55214/2576	10.55214/2576	NUM
easat-10606	937	15	-	-	SYM
easat-10606	937	16	8484.v9i10.10606	8484.v9i10.10606	NUM
easat-10606	937	17	©	©	ADP
easat-10606	937	18	2025	2025	NUM
easat-10606	937	19	by	by	ADP
easat-10606	937	20	the	the	DET
easat-10606	937	21	authors	author	NOUN
easat-10606	937	22	;	;	PUNCT
easat-10606	938	1	licensee	licensee	PROPN
easat-10606	938	2	learning	learning	NOUN
easat-10606	938	3	gate	gate	NOUN
easat-10606	938	4	[	[	X
easat-10606	938	5	84	84	NUM
easat-10606	938	6	]	]	PUNCT
easat-10606	938	7	j.-a	j.-a	NOUN
easat-10606	938	8	.	.	PUNCT
easat-10606	939	1	p.	p.	NOUN
easat-10606	939	2	lalata	lalata	PROPN
easat-10606	939	3	,	,	PUNCT
easat-10606	939	4	b.	b.	PROPN
easat-10606	939	5	gerardo	gerardo	PROPN
easat-10606	939	6	,	,	PUNCT
easat-10606	939	7	and	and	CCONJ
easat-10606	939	8	r.	r.	PROPN
easat-10606	939	9	medina	medina	PROPN
easat-10606	939	10	,	,	PUNCT
easat-10606	939	11	"	"	PUNCT
easat-10606	939	12	a	a	DET
easat-10606	939	13	sentiment	sentiment	NOUN
easat-10606	939	14	analysis	analysis	NOUN
easat-10606	939	15	model	model	NOUN
easat-10606	939	16	for	for	ADP
easat-10606	939	17	faculty	faculty	NOUN
easat-10606	939	18	comment	comment	NOUN
easat-10606	939	19	evaluation	evaluation	NOUN
easat-10606	939	20	using	use	VERB
easat-10606	939	21	ensemble	ensemble	ADJ
easat-10606	939	22	machine	machine	NOUN
easat-10606	939	23	learning	learning	NOUN
easat-10606	939	24	algorithms	algorithm	NOUN
easat-10606	939	25	,	,	PUNCT
easat-10606	939	26	"	"	PUNCT
easat-10606	939	27	in	in	ADP
easat-10606	939	28	proceedings	proceeding	NOUN
easat-10606	939	29	of	of	ADP
easat-10606	939	30	the	the	DET
easat-10606	939	31	2019	2019	NUM
easat-10606	939	32	international	international	ADJ
easat-10606	939	33	conference	conference	NOUN
easat-10606	939	34	on	on	ADP
easat-10606	939	35	big	big	ADJ
easat-10606	939	36	data	datum	NOUN
easat-10606	939	37	engineering	engineering	NOUN
easat-10606	939	38	,	,	PUNCT
easat-10606	939	39	2019	2019	NUM
easat-10606	939	40	.	.	PUNCT
easat-10606	940	1	[	[	X
easat-10606	940	2	85	85	NUM
easat-10606	940	3	]	]	PUNCT
easat-10606	940	4	m.	m.	NOUN
easat-10606	940	5	wook	wook	NOUN
easat-10606	940	6	et	et	PROPN
easat-10606	940	7	al	al	PROPN
easat-10606	940	8	.	.	PROPN
easat-10606	940	9	,	,	PUNCT
easat-10606	940	10	"	"	PUNCT
easat-10606	940	11	opinion	opinion	NOUN
easat-10606	940	12	mining	mining	NOUN
easat-10606	940	13	technique	technique	NOUN
easat-10606	940	14	for	for	ADP
easat-10606	940	15	developing	develop	VERB
easat-10606	940	16	student	student	NOUN
easat-10606	940	17	feedback	feedback	NOUN
easat-10606	940	18	analysis	analysis	NOUN
easat-10606	940	19	system	system	NOUN
easat-10606	940	20	using	use	VERB
easat-10606	940	21	lexicon	lexicon	NOUN
easat-10606	940	22	-	-	PUNCT
easat-10606	940	23	based	base	VERB
easat-10606	940	24	approach	approach	NOUN
easat-10606	940	25	(	(	PUNCT
easat-10606	940	26	omfeedback	omfeedback	NOUN
easat-10606	940	27	)	)	PUNCT
easat-10606	940	28	,	,	PUNCT
easat-10606	940	29	"	"	PUNCT
easat-10606	940	30	education	education	NOUN
easat-10606	940	31	and	and	CCONJ
easat-10606	940	32	information	information	NOUN
easat-10606	940	33	technologies	technology	NOUN
easat-10606	940	34	,	,	PUNCT
easat-10606	940	35	vol	vol	NOUN
easat-10606	940	36	.	.	PROPN
easat-10606	940	37	25	25	NUM
easat-10606	940	38	,	,	PUNCT
easat-10606	940	39	no	no	INTJ
easat-10606	940	40	.	.	NOUN
easat-10606	940	41	4	4	NUM
easat-10606	940	42	,	,	PUNCT
easat-10606	940	43	pp	pp	ADJ
easat-10606	940	44	.	.	PUNCT
easat-10606	940	45	2549	2549	NUM
easat-10606	940	46	-	-	SYM
easat-10606	940	47	2560	2560	NUM
easat-10606	940	48	,	,	PUNCT
easat-10606	940	49	2020	2020	NUM
easat-10606	940	50	.	.	PUNCT
easat-10606	941	1	[	[	X
easat-10606	941	2	86	86	NUM
easat-10606	941	3	]	]	PUNCT
easat-10606	941	4	s.	s.	PROPN
easat-10606	941	5	katragadda	katragadda	PROPN
easat-10606	941	6	,	,	PUNCT
easat-10606	941	7	v.	v.	ADP
easat-10606	941	8	ravi	ravi	PROPN
easat-10606	941	9	,	,	PUNCT
easat-10606	941	10	p.	p.	PROPN
easat-10606	941	11	kumar	kumar	PROPN
easat-10606	941	12	,	,	PUNCT
easat-10606	941	13	and	and	CCONJ
easat-10606	941	14	g.	g.	PROPN
easat-10606	941	15	j.	j.	PROPN
easat-10606	941	16	lakshmi	lakshmi	PROPN
easat-10606	941	17	,	,	PUNCT
easat-10606	941	18	"	"	PUNCT
easat-10606	941	19	performance	performance	NOUN
easat-10606	941	20	analysis	analysis	NOUN
easat-10606	941	21	on	on	ADP
easat-10606	941	22	student	student	NOUN
easat-10606	941	23	feedback	feedback	NOUN
easat-10606	941	24	using	use	VERB
easat-10606	941	25	machine	machine	NOUN
easat-10606	941	26	learning	learning	NOUN
easat-10606	941	27	algorithms	algorithm	NOUN
easat-10606	941	28	,	,	PUNCT
easat-10606	941	29	"	"	PUNCT
easat-10606	941	30	in	in	ADP
easat-10606	941	31	2020	2020	NUM
easat-10606	941	32	6th	6th	ADJ
easat-10606	941	33	international	international	ADJ
easat-10606	941	34	conference	conference	NOUN
easat-10606	941	35	on	on	ADP
easat-10606	941	36	advanced	advanced	ADJ
easat-10606	941	37	computing	computing	NOUN
easat-10606	941	38	and	and	CCONJ
easat-10606	941	39	communication	communication	NOUN
easat-10606	941	40	systems	system	NOUN
easat-10606	941	41	(	(	PUNCT
easat-10606	941	42	icaccs	icaccs	NOUN
easat-10606	941	43	)	)	PUNCT
easat-10606	941	44	(	(	PUNCT
easat-10606	941	45	pp	pp	ADJ
easat-10606	941	46	.	.	PUNCT
easat-10606	941	47	1161	1161	NUM
easat-10606	941	48	-	-	SYM
easat-10606	941	49	1163	1163	NUM
easat-10606	941	50	)	)	PUNCT
easat-10606	941	51	.	.	PUNCT
easat-10606	942	1	ieee	ieee	PROPN
easat-10606	942	2	,	,	PUNCT
easat-10606	942	3	2020	2020	NUM
easat-10606	942	4	.	.	PUNCT
easat-10606	943	1	[	[	X
easat-10606	943	2	87	87	NUM
easat-10606	943	3	]	]	PUNCT
easat-10606	943	4	s.	s.	PROPN
easat-10606	943	5	qaiser	qaiser	PROPN
easat-10606	943	6	,	,	PUNCT
easat-10606	943	7	n.	n.	PROPN
easat-10606	943	8	yusoff	yusoff	PROPN
easat-10606	943	9	,	,	PUNCT
easat-10606	943	10	r.	r.	PROPN
easat-10606	943	11	ali	ali	PROPN
easat-10606	943	12	,	,	PUNCT
easat-10606	943	13	m.	m.	NOUN
easat-10606	943	14	a.	a.	PROPN
easat-10606	943	15	remli	remli	PROPN
easat-10606	943	16	,	,	PUNCT
easat-10606	943	17	and	and	CCONJ
easat-10606	943	18	h.	h.	PROPN
easat-10606	943	19	k.	k.	PROPN
easat-10606	943	20	adli	adli	PROPN
easat-10606	943	21	,	,	PUNCT
easat-10606	943	22	"	"	PUNCT
easat-10606	943	23	a	a	DET
easat-10606	943	24	comparison	comparison	NOUN
easat-10606	943	25	of	of	ADP
easat-10606	943	26	machine	machine	NOUN
easat-10606	943	27	learning	learn	VERB
easat-10606	943	28	techniques	technique	NOUN
easat-10606	943	29	for	for	ADP
easat-10606	943	30	sentiment	sentiment	NOUN
easat-10606	943	31	analysis	analysis	NOUN
easat-10606	943	32	,	,	PUNCT
easat-10606	943	33	"	"	PUNCT
easat-10606	943	34	turkish	turkish	ADJ
easat-10606	943	35	journal	journal	NOUN
easat-10606	943	36	of	of	ADP
easat-10606	943	37	computer	computer	NOUN
easat-10606	943	38	and	and	CCONJ
easat-10606	943	39	mathematics	mathematic	NOUN
easat-10606	943	40	education	education	NOUN
easat-10606	943	41	,	,	PUNCT
easat-10606	943	42	vol	vol	NOUN
easat-10606	943	43	.	.	PROPN
easat-10606	943	44	12	12	NUM
easat-10606	943	45	,	,	PUNCT
easat-10606	943	46	no	no	INTJ
easat-10606	943	47	.	.	NOUN
easat-10606	943	48	3	3	NUM
easat-10606	943	49	,	,	PUNCT
easat-10606	943	50	pp	pp	ADJ
easat-10606	943	51	.	.	PUNCT
easat-10606	943	52	1738	1738	NUM
easat-10606	943	53	-	-	SYM
easat-10606	943	54	1744	1744	NUM
easat-10606	943	55	,	,	PUNCT
easat-10606	943	56	2021	2021	NUM
easat-10606	943	57	.	.	PUNCT
easat-10606	944	1	[	[	X
easat-10606	944	2	88	88	NUM
easat-10606	944	3	]	]	X
easat-10606	944	4	n.	n.	PROPN
easat-10606	944	5	nidhi	nidhi	PROPN
easat-10606	944	6	,	,	PUNCT
easat-10606	944	7	m.	m.	NOUN
easat-10606	944	8	kumar	kumar	PROPN
easat-10606	944	9	,	,	PUNCT
easat-10606	944	10	and	and	CCONJ
easat-10606	944	11	s.	s.	PROPN
easat-10606	944	12	agarwal	agarwal	PROPN
easat-10606	944	13	,	,	PUNCT
easat-10606	944	14	"	"	PUNCT
easat-10606	944	15	comparative	comparative	ADJ
easat-10606	944	16	analysis	analysis	NOUN
easat-10606	944	17	of	of	ADP
easat-10606	944	18	heterogeneous	heterogeneous	ADJ
easat-10606	944	19	ensemble	ensemble	ADJ
easat-10606	944	20	learning	learning	NOUN
easat-10606	944	21	using	use	VERB
easat-10606	944	22	feature	feature	NOUN
easat-10606	944	23	selection	selection	NOUN
easat-10606	944	24	techniques	technique	NOUN
easat-10606	944	25	for	for	ADP
easat-10606	944	26	predicting	predict	VERB
easat-10606	944	27	academic	academic	ADJ
easat-10606	944	28	performance	performance	NOUN
easat-10606	944	29	of	of	ADP
easat-10606	944	30	students	student	NOUN
easat-10606	944	31	,	,	PUNCT
easat-10606	944	32	"	"	PUNCT
easat-10606	944	33	in	in	ADP
easat-10606	944	34	2021	2021	NUM
easat-10606	944	35	2nd	2nd	ADJ
easat-10606	944	36	international	international	ADJ
easat-10606	944	37	conference	conference	NOUN
easat-10606	944	38	on	on	ADP
easat-10606	944	39	computational	computational	ADJ
easat-10606	944	40	methods	method	NOUN
easat-10606	944	41	in	in	ADP
easat-10606	944	42	science	science	NOUN
easat-10606	944	43	&	&	CCONJ
easat-10606	944	44	technology	technology	PROPN
easat-10606	944	45	(	(	PUNCT
easat-10606	944	46	iccmst	iccmst	ADJ
easat-10606	944	47	)	)	PUNCT
easat-10606	944	48	(	(	PUNCT
easat-10606	944	49	pp	pp	X
easat-10606	944	50	.	.	PUNCT
easat-10606	945	1	212	212	NUM
easat-10606	945	2	-	-	SYM
easat-10606	945	3	217	217	NUM
easat-10606	945	4	)	)	PUNCT
easat-10606	945	5	.	.	PUNCT
easat-10606	946	1	ieee	ieee	NOUN
easat-10606	946	2	,	,	PUNCT
easat-10606	946	3	2021	2021	NUM
easat-10606	946	4	.	.	PUNCT
easat-10606	947	1	[	[	X
easat-10606	947	2	89	89	NUM
easat-10606	947	3	]	]	X
easat-10606	947	4	s.	s.	PROPN
easat-10606	947	5	verma	verma	PROPN
easat-10606	947	6	,	,	PUNCT
easat-10606	947	7	r.	r.	PROPN
easat-10606	947	8	k.	k.	PROPN
easat-10606	947	9	yadav	yadav	PROPN
easat-10606	947	10	,	,	PUNCT
easat-10606	947	11	and	and	CCONJ
easat-10606	947	12	k.	k.	PROPN
easat-10606	947	13	kholiya	kholiya	PROPN
easat-10606	947	14	,	,	PUNCT
easat-10606	947	15	"	"	PUNCT
easat-10606	947	16	a	a	DET
easat-10606	947	17	scalable	scalable	ADJ
easat-10606	947	18	machine	machine	NOUN
easat-10606	947	19	learning	learning	NOUN
easat-10606	947	20	-	-	PUNCT
easat-10606	947	21	based	base	VERB
easat-10606	947	22	ensemble	ensemble	ADJ
easat-10606	947	23	approach	approach	NOUN
easat-10606	947	24	to	to	PART
easat-10606	947	25	enhance	enhance	VERB
easat-10606	947	26	the	the	DET
easat-10606	947	27	prediction	prediction	NOUN
easat-10606	947	28	accuracy	accuracy	NOUN
easat-10606	947	29	for	for	ADP
easat-10606	947	30	identifying	identify	VERB
easat-10606	947	31	students	student	NOUN
easat-10606	947	32	at	at	ADP
easat-10606	947	33	-	-	PUNCT
easat-10606	947	34	risk	risk	NOUN
easat-10606	947	35	,	,	PUNCT
easat-10606	947	36	"	"	PUNCT
easat-10606	947	37	international	international	ADJ
easat-10606	947	38	journal	journal	NOUN
easat-10606	947	39	of	of	ADP
easat-10606	947	40	advanced	advanced	ADJ
easat-10606	947	41	computer	computer	NOUN
easat-10606	947	42	science	science	NOUN
easat-10606	947	43	and	and	CCONJ
easat-10606	947	44	applications	application	NOUN
easat-10606	947	45	,	,	PUNCT
easat-10606	947	46	vol	vol	NOUN
easat-10606	947	47	.	.	PROPN
easat-10606	947	48	13	13	NUM
easat-10606	947	49	,	,	PUNCT
easat-10606	947	50	no	no	INTJ
easat-10606	947	51	.	.	NOUN
easat-10606	947	52	8	8	NUM
easat-10606	947	53	,	,	PUNCT
easat-10606	947	54	pp	pp	ADJ
easat-10606	947	55	.	.	PUNCT
easat-10606	947	56	185	185	NUM
easat-10606	947	57	-	-	SYM
easat-10606	947	58	192	192	NUM
easat-10606	947	59	,	,	PUNCT
easat-10606	947	60	2022	2022	NUM
easat-10606	947	61	.	.	PUNCT
easat-10606	948	1	[	[	X
easat-10606	948	2	90	90	NUM
easat-10606	948	3	]	]	PUNCT
easat-10606	948	4	b.	b.	PROPN
easat-10606	948	5	f.	f.	PROPN
easat-10606	948	6	roaring	roaring	PROPN
easat-10606	948	7	,	,	PUNCT
easat-10606	948	8	f.	f.	PROPN
easat-10606	948	9	f.	f.	PROPN
easat-10606	948	10	patacsil	patacsil	PROPN
easat-10606	948	11	,	,	PUNCT
easat-10606	948	12	and	and	CCONJ
easat-10606	948	13	j.	j.	PROPN
easat-10606	948	14	m.	m.	PROPN
easat-10606	948	15	parrone	parrone	PROPN
easat-10606	948	16	,	,	PUNCT
easat-10606	948	17	"	"	PUNCT
easat-10606	948	18	analyzing	analyze	VERB
easat-10606	948	19	pangasinan	pangasinan	PROPN
easat-10606	948	20	state	state	PROPN
easat-10606	948	21	university	university	NOUN
easat-10606	948	22	student	student	NOUN
easat-10606	948	23	’s	’s	PART
easat-10606	948	24	faculty	faculty	NOUN
easat-10606	948	25	teaching	teaching	NOUN
easat-10606	948	26	performance	performance	NOUN
easat-10606	948	27	rating	rating	NOUN
easat-10606	948	28	using	use	VERB
easat-10606	948	29	text	text	NOUN
easat-10606	948	30	mining	mining	NOUN
easat-10606	948	31	technique	technique	NOUN
easat-10606	948	32	,	,	PUNCT
easat-10606	948	33	"	"	PUNCT
easat-10606	948	34	wseas	wseas	NOUN
easat-10606	948	35	transactions	transaction	NOUN
easat-10606	948	36	on	on	ADP
easat-10606	948	37	information	information	NOUN
easat-10606	948	38	science	science	NOUN
easat-10606	948	39	and	and	CCONJ
easat-10606	948	40	applications	application	NOUN
easat-10606	948	41	,	,	PUNCT
easat-10606	948	42	vol	vol	NOUN
easat-10606	948	43	.	.	PROPN
easat-10606	948	44	19	19	NUM
easat-10606	948	45	,	,	PUNCT
easat-10606	948	46	pp	pp	ADJ
easat-10606	948	47	.	.	PUNCT
easat-10606	949	1	161	161	NUM
easat-10606	949	2	-	-	SYM
easat-10606	949	3	170	170	NUM
easat-10606	949	4	,	,	PUNCT
easat-10606	949	5	2022	2022	NUM
easat-10606	949	6	.	.	PUNCT
easat-10606	950	1	[	[	X
easat-10606	950	2	91	91	NUM
easat-10606	950	3	]	]	PUNCT
easat-10606	950	4	k.	k.	PROPN
easat-10606	950	5	gebashe	gebashe	PROPN
easat-10606	950	6	,	,	PUNCT
easat-10606	950	7	q.	q.	PROPN
easat-10606	950	8	mthethwa	mthethwa	PROPN
easat-10606	950	9	,	,	PUNCT
easat-10606	950	10	m.	m.	NOUN
easat-10606	950	11	nzimande	nzimande	PROPN
easat-10606	950	12	,	,	PUNCT
easat-10606	950	13	f.	f.	PROPN
easat-10606	950	14	mlima	mlima	PROPN
easat-10606	950	15	,	,	PUNCT
easat-10606	950	16	and	and	CCONJ
easat-10606	950	17	o.	o.	PROPN
easat-10606	950	18	j.	j.	PROPN
easat-10606	950	19	aroba	aroba	PROPN
easat-10606	950	20	,	,	PUNCT
easat-10606	950	21	"	"	PUNCT
easat-10606	950	22	the	the	DET
easat-10606	950	23	integration	integration	NOUN
easat-10606	950	24	of	of	ADP
easat-10606	950	25	virtual	virtual	ADJ
easat-10606	950	26	reality	reality	NOUN
easat-10606	950	27	chemistry	chemistry	NOUN
easat-10606	950	28	laboratory	laboratory	NOUN
easat-10606	950	29	:	:	PUNCT
easat-10606	950	30	a	a	DET
easat-10606	950	31	case	case	NOUN
easat-10606	950	32	study	study	NOUN
easat-10606	950	33	durban	durban	PROPN
easat-10606	950	34	university	university	PROPN
easat-10606	950	35	of	of	ADP
easat-10606	950	36	technology	technology	NOUN
easat-10606	950	37	,	,	PUNCT
easat-10606	950	38	"	"	PUNCT
easat-10606	950	39	in	in	ADP
easat-10606	950	40	international	international	ADJ
easat-10606	950	41	conference	conference	NOUN
easat-10606	950	42	on	on	ADP
easat-10606	950	43	innovations	innovation	NOUN
easat-10606	950	44	in	in	ADP
easat-10606	950	45	bio	bio	ADJ
easat-10606	950	46	-	-	PUNCT
easat-10606	950	47	inspired	inspire	VERB
easat-10606	950	48	computing	computing	NOUN
easat-10606	950	49	and	and	CCONJ
easat-10606	950	50	applications	application	NOUN
easat-10606	950	51	(	(	PUNCT
easat-10606	950	52	pp	pp	ADJ
easat-10606	950	53	.	.	PUNCT
easat-10606	951	1	479	479	NUM
easat-10606	951	2	-	-	NUM
easat-10606	951	3	492	492	NUM
easat-10606	951	4	)	)	PUNCT
easat-10606	951	5	.	.	PUNCT
easat-10606	952	1	cham	cham	PROPN
easat-10606	952	2	:	:	PUNCT
easat-10606	952	3	springer	springer	NOUN
easat-10606	952	4	nature	nature	PROPN
easat-10606	952	5	switzerland	switzerland	PROPN
easat-10606	952	6	,	,	PUNCT
easat-10606	952	7	2023	2023	NUM
easat-10606	952	8	.	.	PUNCT
easat-10606	953	1	[	[	X
easat-10606	953	2	92	92	NUM
easat-10606	953	3	]	]	X
easat-10606	953	4	c.	c.	PROPN
easat-10606	953	5	san	san	PROPN
easat-10606	953	6	lwin	lwin	PROPN
easat-10606	953	7	and	and	CCONJ
easat-10606	953	8	w.	w.	PROPN
easat-10606	953	9	xiangqian	xiangqian	PROPN
easat-10606	953	10	,	,	PUNCT
easat-10606	953	11	"	"	PUNCT
easat-10606	953	12	myanmar	myanmar	X
easat-10606	953	13	handwritten	handwritten	ADJ
easat-10606	953	14	character	character	NOUN
easat-10606	953	15	recognition	recognition	NOUN
easat-10606	953	16	from	from	ADP
easat-10606	953	17	similar	similar	ADJ
easat-10606	953	18	character	character	NOUN
easat-10606	953	19	groups	group	NOUN
easat-10606	953	20	using	use	VERB
easat-10606	953	21	kmeans	kmean	NOUN
easat-10606	953	22	and	and	CCONJ
easat-10606	953	23	convolutional	convolutional	ADJ
easat-10606	953	24	neural	neural	ADJ
easat-10606	953	25	network	network	NOUN
easat-10606	953	26	,	,	PUNCT
easat-10606	953	27	"	"	PUNCT
easat-10606	953	28	in	in	ADP
easat-10606	953	29	2020	2020	NUM
easat-10606	953	30	ieee	ieee	NOUN
easat-10606	953	31	3rd	3rd	PROPN
easat-10606	953	32	international	international	ADJ
easat-10606	953	33	conference	conference	NOUN
easat-10606	953	34	on	on	ADP
easat-10606	953	35	electronics	electronic	NOUN
easat-10606	953	36	and	and	CCONJ
easat-10606	953	37	communication	communication	NOUN
easat-10606	953	38	engineering	engineering	NOUN
easat-10606	953	39	(	(	PUNCT
easat-10606	953	40	icece	icece	PROPN
easat-10606	953	41	)	)	PUNCT
easat-10606	953	42	(	(	PUNCT
easat-10606	953	43	pp	pp	X
easat-10606	953	44	.	.	PUNCT
easat-10606	954	1	172	172	NUM
easat-10606	954	2	-	-	SYM
easat-10606	954	3	176	176	NUM
easat-10606	954	4	)	)	PUNCT
easat-10606	954	5	.	.	PUNCT
easat-10606	955	1	ieee	ieee	PROPN
easat-10606	955	2	,	,	PUNCT
easat-10606	955	3	2020	2020	NUM
easat-10606	955	4	.	.	PUNCT
easat-10606	956	1	[	[	X
easat-10606	956	2	93	93	NUM
easat-10606	956	3	]	]	X
easat-10606	956	4	u.	u.	PROPN
easat-10606	956	5	ö.	ö.	PROPN
easat-10606	956	6	osmanoğlu	osmanoğlu	PROPN
easat-10606	956	7	,	,	PUNCT
easat-10606	956	8	o.	o.	PROPN
easat-10606	956	9	n.	n.	PROPN
easat-10606	956	10	atak	atak	PROPN
easat-10606	956	11	,	,	PUNCT
easat-10606	956	12	k.	k.	NOUN
easat-10606	956	13	çağlar	çağlar	PROPN
easat-10606	956	14	,	,	PUNCT
easat-10606	956	15	h.	h.	PROPN
easat-10606	956	16	kayhan	kayhan	PROPN
easat-10606	956	17	,	,	PUNCT
easat-10606	956	18	and	and	CCONJ
easat-10606	956	19	t.	t.	PROPN
easat-10606	956	20	can	can	AUX
easat-10606	956	21	,	,	PUNCT
easat-10606	956	22	"	"	PUNCT
easat-10606	956	23	sentiment	sentiment	NOUN
easat-10606	956	24	analysis	analysis	NOUN
easat-10606	956	25	for	for	ADP
easat-10606	956	26	distance	distance	NOUN
easat-10606	956	27	education	education	NOUN
easat-10606	956	28	course	course	NOUN
easat-10606	956	29	materials	material	NOUN
easat-10606	956	30	:	:	PUNCT
easat-10606	956	31	a	a	DET
easat-10606	956	32	machine	machine	NOUN
easat-10606	956	33	learning	learn	VERB
easat-10606	956	34	approach	approach	NOUN
easat-10606	956	35	,	,	PUNCT
easat-10606	956	36	"	"	PUNCT
easat-10606	956	37	journal	journal	NOUN
easat-10606	956	38	of	of	ADP
easat-10606	956	39	educational	educational	ADJ
easat-10606	956	40	technology	technology	NOUN
easat-10606	956	41	and	and	CCONJ
easat-10606	956	42	online	online	ADJ
easat-10606	956	43	learning	learning	NOUN
easat-10606	956	44	,	,	PUNCT
easat-10606	956	45	vol	vol	NOUN
easat-10606	956	46	.	.	PROPN
easat-10606	957	1	3	3	NUM
easat-10606	957	2	,	,	PUNCT
easat-10606	957	3	no	no	INTJ
easat-10606	957	4	.	.	NOUN
easat-10606	957	5	1	1	NUM
easat-10606	957	6	,	,	PUNCT
easat-10606	957	7	pp	pp	ADJ
easat-10606	957	8	.	.	PUNCT
easat-10606	958	1	3148	3148	NUM
easat-10606	958	2	,	,	PUNCT
easat-10606	958	3	2020	2020	NUM
easat-10606	958	4	.	.	PUNCT
easat-10606	959	1	https://doi.org/10.31681/jetol.663733	https://doi.org/10.31681/jetol.663733	ADJ
easat-10606	959	2	https://doi.org/10.31681/jetol.663733	https://doi.org/10.31681/jetol.663733	ADV