id	sid	tid	token	lemma	pos
cana-1857	1	1	communications	communication	NOUN
cana-1857	1	2	on	on	ADP
cana-1857	1	3	applied	apply	VERB
cana-1857	1	4	nonlinear	nonlinear	ADJ
cana-1857	1	5	analysis	analysis	NOUN
cana-1857	1	6	issn	issn	NOUN
cana-1857	1	7	:	:	PUNCT
cana-1857	1	8	1074	1074	NUM
cana-1857	1	9	-	-	PUNCT
cana-1857	1	10	133x	133x	NUM
cana-1857	1	11	vol	vol	NOUN
cana-1857	1	12	32	32	NUM
cana-1857	1	13	no	no	NOUN
cana-1857	1	14	.	.	NOUN
cana-1857	1	15	2	2	NUM
cana-1857	1	16	(	(	PUNCT
cana-1857	1	17	2025	2025	NUM
cana-1857	1	18	)	)	PUNCT
cana-1857	1	19	610	610	NUM
cana-1857	1	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1857	1	21	hybrid	hybrid	ADJ
cana-1857	1	22	lexicon	lexicon	NOUN
cana-1857	1	23	and	and	CCONJ
cana-1857	1	24	transformer	transformer	NOUN
cana-1857	1	25	-	-	PUNCT
cana-1857	1	26	based	base	VERB
cana-1857	1	27	sentiment	sentiment	NOUN
cana-1857	1	28	analysis	analysis	NOUN
cana-1857	1	29	of	of	ADP
cana-1857	1	30	student	student	NOUN
cana-1857	1	31	feedback	feedback	NOUN
cana-1857	1	32	for	for	ADP
cana-1857	1	33	faculty	faculty	NOUN
cana-1857	1	34	evaluation	evaluation	NOUN
cana-1857	1	35	:	:	PUNCT
cana-1857	1	36	a	a	DET
cana-1857	1	37	speech	speech	NOUN
cana-1857	1	38	-	-	PUNCT
cana-1857	1	39	to	to	ADP
cana-1857	1	40	-	-	PUNCT
cana-1857	1	41	text	text	NOUN
cana-1857	1	42	approach	approach	NOUN
cana-1857	1	43	helaria	helaria	PROPN
cana-1857	1	44	maria1	maria1	PROPN
cana-1857	1	45	,	,	PUNCT
cana-1857	1	46	r	r	NOUN
cana-1857	1	47	subhashni2	subhashni2	NOUN
cana-1857	1	48	1research	1research	NUM
cana-1857	1	49	scholar	scholar	NOUN
cana-1857	1	50	,	,	PUNCT
cana-1857	1	51	department	department	NOUN
cana-1857	1	52	of	of	ADP
cana-1857	1	53	computer	computer	NOUN
cana-1857	1	54	applications	application	NOUN
cana-1857	1	55	st.peter	st.peter	VERB
cana-1857	1	56	’s	’s	PART
cana-1857	1	57	institute	institute	PROPN
cana-1857	1	58	of	of	ADP
cana-1857	1	59	higher	high	ADJ
cana-1857	1	60	education	education	NOUN
cana-1857	1	61	&	&	CCONJ
cana-1857	1	62	research	research	PROPN
cana-1857	1	63	chennai	chennai	PROPN
cana-1857	1	64	.	.	PUNCT
cana-1857	2	1	email	email	NOUN
cana-1857	2	2	:	:	PUNCT
cana-1857	2	3	helariax@gmail.com	helariax@gmail.com	X
cana-1857	3	1	2department	2department	NUM
cana-1857	3	2	of	of	ADP
cana-1857	3	3	computer	computer	NOUN
cana-1857	3	4	applications	application	NOUN
cana-1857	3	5	st.peter	st.peter	VERB
cana-1857	3	6	’s	’s	PART
cana-1857	3	7	institute	institute	PROPN
cana-1857	3	8	of	of	ADP
cana-1857	3	9	higher	high	ADJ
cana-1857	3	10	education	education	NOUN
cana-1857	3	11	&	&	CCONJ
cana-1857	3	12	research	research	PROPN
cana-1857	3	13	chennai	chennai	PROPN
cana-1857	3	14	.	.	PUNCT
cana-1857	4	1	email	email	NOUN
cana-1857	4	2	:	:	PUNCT
cana-1857	4	3	subhashniraj2018@gmail.com	subhashniraj2018@gmail.com	X
cana-1857	5	1	article	article	NOUN
cana-1857	5	2	history	history	NOUN
cana-1857	5	3	:	:	PUNCT
cana-1857	5	4	received	receive	VERB
cana-1857	5	5	:	:	PUNCT
cana-1857	5	6	13	13	NUM
cana-1857	5	7	-	-	SYM
cana-1857	5	8	07	07	NUM
cana-1857	5	9	-	-	PUNCT
cana-1857	5	10	2024	2024	NUM
cana-1857	5	11	revised	revise	VERB
cana-1857	5	12	:	:	PUNCT
cana-1857	5	13	28	28	NUM
cana-1857	5	14	-	-	SYM
cana-1857	5	15	08	08	NUM
cana-1857	5	16	-	-	PUNCT
cana-1857	5	17	2024	2024	NUM
cana-1857	5	18	accepted	accept	VERB
cana-1857	5	19	:	:	PUNCT
cana-1857	5	20	26	26	NUM
cana-1857	5	21	-	-	SYM
cana-1857	5	22	09	09	NUM
cana-1857	5	23	-	-	PUNCT
cana-1857	5	24	2024	2024	NUM
cana-1857	5	25	abstract	abstract	NOUN
cana-1857	5	26	:	:	PUNCT
cana-1857	5	27	the	the	DET
cana-1857	5	28	conventional	conventional	ADJ
cana-1857	5	29	methods	method	NOUN
cana-1857	5	30	for	for	ADP
cana-1857	5	31	assessing	assess	VERB
cana-1857	5	32	the	the	DET
cana-1857	5	33	performance	performance	NOUN
cana-1857	5	34	of	of	ADP
cana-1857	5	35	educators	educator	NOUN
cana-1857	5	36	in	in	ADP
cana-1857	5	37	academic	academic	ADJ
cana-1857	5	38	settings	setting	NOUN
cana-1857	5	39	have	have	AUX
cana-1857	5	40	often	often	ADV
cana-1857	5	41	been	be	AUX
cana-1857	5	42	hindered	hinder	VERB
cana-1857	5	43	by	by	ADP
cana-1857	5	44	outdated	outdated	ADJ
cana-1857	5	45	feedback	feedback	NOUN
cana-1857	5	46	systems	system	NOUN
cana-1857	5	47	,	,	PUNCT
cana-1857	5	48	leading	lead	VERB
cana-1857	5	49	to	to	ADP
cana-1857	5	50	assessments	assessment	NOUN
cana-1857	5	51	that	that	PRON
cana-1857	5	52	can	can	AUX
cana-1857	5	53	be	be	AUX
cana-1857	5	54	either	either	CCONJ
cana-1857	5	55	skewed	skewed	ADJ
cana-1857	5	56	or	or	CCONJ
cana-1857	5	57	incomplete	incomplete	ADJ
cana-1857	5	58	.	.	PUNCT
cana-1857	6	1	this	this	DET
cana-1857	6	2	study	study	NOUN
cana-1857	6	3	unveils	unveil	VERB
cana-1857	6	4	an	an	DET
cana-1857	6	5	innovative	innovative	ADJ
cana-1857	6	6	,	,	PUNCT
cana-1857	6	7	dual	dual	ADJ
cana-1857	6	8	-	-	PUNCT
cana-1857	6	9	approach	approach	NOUN
cana-1857	6	10	methodology	methodology	NOUN
cana-1857	6	11	that	that	PRON
cana-1857	6	12	fuses	fuse	VERB
cana-1857	6	13	lexicon	lexicon	NOUN
cana-1857	6	14	-	-	PUNCT
cana-1857	6	15	driven	drive	VERB
cana-1857	6	16	sentiment	sentiment	NOUN
cana-1857	6	17	analysis	analysis	NOUN
cana-1857	6	18	with	with	ADP
cana-1857	6	19	cutting	cut	VERB
cana-1857	6	20	-	-	PUNCT
cana-1857	6	21	edge	edge	NOUN
cana-1857	6	22	transformer	transformer	NOUN
cana-1857	6	23	architectures	architecture	NOUN
cana-1857	6	24	,	,	PUNCT
cana-1857	6	25	specifically	specifically	ADV
cana-1857	6	26	focusing	focus	VERB
cana-1857	6	27	on	on	ADP
cana-1857	6	28	bert	bert	PROPN
cana-1857	6	29	(	(	PUNCT
cana-1857	6	30	bidirectional	bidirectional	ADJ
cana-1857	6	31	encoder	encoder	NOUN
cana-1857	6	32	representations	representation	VERB
cana-1857	6	33	from	from	ADP
cana-1857	6	34	transformers	transformer	NOUN
cana-1857	6	35	)	)	PUNCT
cana-1857	6	36	.	.	PUNCT
cana-1857	7	1	this	this	DET
cana-1857	7	2	approach	approach	NOUN
cana-1857	7	3	provides	provide	VERB
cana-1857	7	4	a	a	DET
cana-1857	7	5	more	more	ADV
cana-1857	7	6	sophisticated	sophisticated	ADJ
cana-1857	7	7	,	,	PUNCT
cana-1857	7	8	real	real	ADJ
cana-1857	7	9	-	-	PUNCT
cana-1857	7	10	time	time	NOUN
cana-1857	7	11	assessment	assessment	NOUN
cana-1857	7	12	of	of	ADP
cana-1857	7	13	educators	educator	NOUN
cana-1857	7	14	based	base	VERB
cana-1857	7	15	on	on	ADP
cana-1857	7	16	student	student	NOUN
cana-1857	7	17	evaluations	evaluation	NOUN
cana-1857	7	18	.	.	PUNCT
cana-1857	8	1	one	one	NUM
cana-1857	8	2	of	of	ADP
cana-1857	8	3	the	the	DET
cana-1857	8	4	standout	standout	NOUN
cana-1857	8	5	features	feature	NOUN
cana-1857	8	6	of	of	ADP
cana-1857	8	7	this	this	DET
cana-1857	8	8	study	study	NOUN
cana-1857	8	9	is	be	AUX
cana-1857	8	10	the	the	DET
cana-1857	8	11	integration	integration	NOUN
cana-1857	8	12	of	of	ADP
cana-1857	8	13	speech	speech	NOUN
cana-1857	8	14	to	to	ADP
cana-1857	8	15	-	-	PUNCT
cana-1857	8	16	text	text	NOUN
cana-1857	8	17	technologies	technology	NOUN
cana-1857	8	18	,	,	PUNCT
cana-1857	8	19	which	which	PRON
cana-1857	8	20	allows	allow	VERB
cana-1857	8	21	for	for	ADP
cana-1857	8	22	the	the	DET
cana-1857	8	23	immediate	immediate	ADJ
cana-1857	8	24	transformation	transformation	NOUN
cana-1857	8	25	of	of	ADP
cana-1857	8	26	verbal	verbal	ADJ
cana-1857	8	27	feedback	feedback	NOUN
cana-1857	8	28	into	into	ADP
cana-1857	8	29	text	text	NOUN
cana-1857	8	30	that	that	PRON
cana-1857	8	31	can	can	AUX
cana-1857	8	32	be	be	AUX
cana-1857	8	33	analyzed	analyze	VERB
cana-1857	8	34	.	.	PUNCT
cana-1857	9	1	the	the	DET
cana-1857	9	2	approach	approach	NOUN
cana-1857	9	3	makes	make	VERB
cana-1857	9	4	use	use	NOUN
cana-1857	9	5	of	of	ADP
cana-1857	9	6	a	a	DET
cana-1857	9	7	specialized	specialized	ADJ
cana-1857	9	8	educational	educational	ADJ
cana-1857	9	9	sentiment	sentiment	NOUN
cana-1857	9	10	lexicon	lexicon	NOUN
cana-1857	9	11	for	for	ADP
cana-1857	9	12	preliminary	preliminary	ADJ
cana-1857	9	13	sentiment	sentiment	NOUN
cana-1857	9	14	evaluation	evaluation	NOUN
cana-1857	9	15	,	,	PUNCT
cana-1857	9	16	which	which	PRON
cana-1857	9	17	subsequently	subsequently	ADV
cana-1857	9	18	refines	refine	VERB
cana-1857	9	19	the	the	DET
cana-1857	9	20	performance	performance	NOUN
cana-1857	9	21	of	of	ADP
cana-1857	9	22	a	a	DET
cana-1857	9	23	pre	pre	ADJ
cana-1857	9	24	-	-	ADJ
cana-1857	9	25	existing	existing	ADJ
cana-1857	9	26	bert	bert	NOUN
cana-1857	9	27	model	model	NOUN
cana-1857	9	28	.	.	PUNCT
cana-1857	10	1	this	this	DET
cana-1857	10	2	dual	dual	ADJ
cana-1857	10	3	-	-	PUNCT
cana-1857	10	4	model	model	NOUN
cana-1857	10	5	is	be	AUX
cana-1857	10	6	proficient	proficient	ADJ
cana-1857	10	7	in	in	ADP
cana-1857	10	8	scrutinizing	scrutinize	VERB
cana-1857	10	9	both	both	DET
cana-1857	10	10	text	text	NOUN
cana-1857	10	11	-	-	PUNCT
cana-1857	10	12	based	base	VERB
cana-1857	10	13	and	and	CCONJ
cana-1857	10	14	verbal	verbal	ADJ
cana-1857	10	15	feedback	feedback	NOUN
cana-1857	10	16	—	—	PUNCT
cana-1857	10	17	the	the	DET
cana-1857	10	18	latter	latter	ADJ
cana-1857	10	19	being	be	AUX
cana-1857	10	20	converted	convert	VERB
cana-1857	10	21	into	into	ADP
cana-1857	10	22	text	text	NOUN
cana-1857	10	23	through	through	ADP
cana-1857	10	24	advanced	advanced	ADJ
cana-1857	10	25	speech	speech	NOUN
cana-1857	10	26	-	-	PUNCT
cana-1857	10	27	to	to	ADP
cana-1857	10	28	-	-	PUNCT
cana-1857	10	29	text	text	NOUN
cana-1857	10	30	techniques	technique	NOUN
cana-1857	10	31	.	.	PUNCT
cana-1857	11	1	our	our	PRON
cana-1857	11	2	results	result	NOUN
cana-1857	11	3	indicate	indicate	VERB
cana-1857	11	4	that	that	SCONJ
cana-1857	11	5	this	this	DET
cana-1857	11	6	approach	approach	NOUN
cana-1857	11	7	significantly	significantly	ADV
cana-1857	11	8	outperforms	outperform	VERB
cana-1857	11	9	existing	exist	VERB
cana-1857	11	10	lexiconbased	lexiconbase	VERB
cana-1857	11	11	and	and	CCONJ
cana-1857	11	12	machine	machine	NOUN
cana-1857	11	13	learning	learning	NOUN
cana-1857	11	14	methods	method	NOUN
cana-1857	11	15	in	in	ADP
cana-1857	11	16	terms	term	NOUN
cana-1857	11	17	of	of	ADP
cana-1857	11	18	accuracy	accuracy	NOUN
cana-1857	11	19	and	and	CCONJ
cana-1857	11	20	comprehensiveness	comprehensiveness	NOUN
cana-1857	11	21	.	.	PUNCT
cana-1857	12	1	by	by	ADP
cana-1857	12	2	providing	provide	VERB
cana-1857	12	3	a	a	DET
cana-1857	12	4	real	real	ADJ
cana-1857	12	5	-	-	PUNCT
cana-1857	12	6	time	time	NOUN
cana-1857	12	7	,	,	PUNCT
cana-1857	12	8	versatile	versatile	ADJ
cana-1857	12	9	sentiment	sentiment	NOUN
cana-1857	12	10	analysis	analysis	NOUN
cana-1857	12	11	tool	tool	NOUN
cana-1857	12	12	tailored	tailor	VERB
cana-1857	12	13	for	for	ADP
cana-1857	12	14	educational	educational	ADJ
cana-1857	12	15	settings	setting	NOUN
cana-1857	12	16	,	,	PUNCT
cana-1857	12	17	this	this	DET
cana-1857	12	18	research	research	NOUN
cana-1857	12	19	marks	mark	VERB
cana-1857	12	20	a	a	DET
cana-1857	12	21	paradigm	paradigm	NOUN
cana-1857	12	22	shift	shift	NOUN
cana-1857	12	23	in	in	ADP
cana-1857	12	24	the	the	DET
cana-1857	12	25	scope	scope	NOUN
cana-1857	12	26	and	and	CCONJ
cana-1857	12	27	quality	quality	NOUN
cana-1857	12	28	of	of	ADP
cana-1857	12	29	faculty	faculty	NOUN
cana-1857	12	30	evaluations	evaluation	NOUN
cana-1857	12	31	,	,	PUNCT
cana-1857	12	32	thereby	thereby	ADV
cana-1857	12	33	contributing	contribute	VERB
cana-1857	12	34	substantially	substantially	ADV
cana-1857	12	35	to	to	ADP
cana-1857	12	36	the	the	DET
cana-1857	12	37	field	field	NOUN
cana-1857	12	38	of	of	ADP
cana-1857	12	39	educational	educational	ADJ
cana-1857	12	40	technology	technology	NOUN
cana-1857	12	41	and	and	CCONJ
cana-1857	12	42	sentiment	sentiment	NOUN
cana-1857	12	43	analysis	analysis	NOUN
cana-1857	12	44	.	.	PUNCT
cana-1857	13	1	keywords	keyword	NOUN
cana-1857	13	2	:	:	PUNCT
cana-1857	13	3	educational	educational	ADJ
cana-1857	13	4	sentiment	sentiment	NOUN
cana-1857	13	5	analysis	analysis	NOUN
cana-1857	13	6	,	,	PUNCT
cana-1857	13	7	faculty	faculty	NOUN
cana-1857	13	8	performance	performance	NOUN
cana-1857	13	9	evaluation	evaluation	NOUN
cana-1857	13	10	,	,	PUNCT
cana-1857	13	11	hybrid	hybrid	ADJ
cana-1857	13	12	model	model	NOUN
cana-1857	13	13	,	,	PUNCT
cana-1857	13	14	lexiconbased	lexiconbased	ADJ
cana-1857	13	15	model	model	NOUN
cana-1857	13	16	,	,	PUNCT
cana-1857	13	17	bert	bert	NOUN
cana-1857	13	18	-	-	PUNCT
cana-1857	13	19	based	base	VERB
cana-1857	13	20	model	model	NOUN
cana-1857	13	21	,	,	PUNCT
cana-1857	13	22	real	real	ADJ
cana-1857	13	23	-	-	PUNCT
cana-1857	13	24	time	time	NOUN
cana-1857	13	25	evaluation	evaluation	NOUN
cana-1857	13	26	,	,	PUNCT
cana-1857	13	27	student	student	NOUN
cana-1857	13	28	feedback	feedback	NOUN
cana-1857	13	29	,	,	PUNCT
cana-1857	13	30	real	real	ADJ
cana-1857	13	31	-	-	PUNCT
cana-1857	13	32	time	time	NOUN
cana-1857	13	33	sentiment	sentiment	NOUN
cana-1857	13	34	analysis	analysis	NOUN
cana-1857	13	35	tool	tool	NOUN
cana-1857	13	36	.	.	PUNCT
cana-1857	14	1	1	1	NUM
cana-1857	14	2	introduction	introduction	NOUN
cana-1857	14	3	in	in	ADP
cana-1857	14	4	the	the	DET
cana-1857	14	5	ever	ever	ADV
cana-1857	14	6	-	-	PUNCT
cana-1857	14	7	changing	change	VERB
cana-1857	14	8	landscape	landscape	NOUN
cana-1857	14	9	of	of	ADP
cana-1857	14	10	education	education	NOUN
cana-1857	14	11	,	,	PUNCT
cana-1857	14	12	the	the	DET
cana-1857	14	13	evaluation	evaluation	NOUN
cana-1857	14	14	of	of	ADP
cana-1857	14	15	faculty	faculty	NOUN
cana-1857	14	16	performance	performance	NOUN
cana-1857	14	17	has	have	AUX
cana-1857	14	18	always	always	ADV
cana-1857	14	19	been	be	AUX
cana-1857	14	20	a	a	DET
cana-1857	14	21	cornerstone	cornerstone	NOUN
cana-1857	14	22	for	for	ADP
cana-1857	14	23	institutional	institutional	ADJ
cana-1857	14	24	improvement	improvement	NOUN
cana-1857	14	25	.	.	PUNCT
cana-1857	15	1	traditionally	traditionally	ADV
cana-1857	15	2	,	,	PUNCT
cana-1857	15	3	these	these	DET
cana-1857	15	4	evaluations	evaluation	NOUN
cana-1857	15	5	have	have	AUX
cana-1857	15	6	been	be	AUX
cana-1857	15	7	conducted	conduct	VERB
cana-1857	15	8	through	through	ADP
cana-1857	15	9	written	write	VERB
cana-1857	15	10	surveys	survey	NOUN
cana-1857	15	11	,	,	PUNCT
cana-1857	15	12	peer	peer	NOUN
cana-1857	15	13	reviews	review	NOUN
cana-1857	15	14	,	,	PUNCT
cana-1857	15	15	and	and	CCONJ
cana-1857	15	16	administrative	administrative	ADJ
cana-1857	15	17	assessments	assessment	NOUN
cana-1857	15	18	(	(	PUNCT
cana-1857	15	19	1	1	NUM
cana-1857	15	20	)	)	PUNCT
cana-1857	15	21	.	.	PUNCT
cana-1857	16	1	however	however	ADV
cana-1857	16	2	,	,	PUNCT
cana-1857	16	3	these	these	DET
cana-1857	16	4	methods	method	NOUN
cana-1857	16	5	often	often	ADV
cana-1857	16	6	suffer	suffer	VERB
cana-1857	16	7	from	from	ADP
cana-1857	16	8	various	various	ADJ
cana-1857	16	9	limitations	limitation	NOUN
cana-1857	16	10	such	such	ADJ
cana-1857	16	11	as	as	ADP
cana-1857	16	12	low	low	ADJ
cana-1857	16	13	response	response	NOUN
cana-1857	16	14	rates	rate	NOUN
cana-1857	16	15	,	,	PUNCT
cana-1857	16	16	potential	potential	ADJ
cana-1857	16	17	biases	bias	NOUN
cana-1857	16	18	,	,	PUNCT
cana-1857	16	19	and	and	CCONJ
cana-1857	16	20	the	the	DET
cana-1857	16	21	inability	inability	NOUN
cana-1857	16	22	to	to	PART
cana-1857	16	23	capture	capture	VERB
cana-1857	16	24	the	the	DET
cana-1857	16	25	nuanced	nuanced	ADJ
cana-1857	16	26	sentiments	sentiment	NOUN
cana-1857	16	27	of	of	ADP
cana-1857	16	28	students	student	NOUN
cana-1857	16	29	.	.	PUNCT
cana-1857	17	1	the	the	DET
cana-1857	17	2	emergence	emergence	NOUN
cana-1857	17	3	of	of	ADP
cana-1857	17	4	machine	machine	NOUN
cana-1857	17	5	learning	learning	NOUN
cana-1857	17	6	and	and	CCONJ
cana-1857	17	7	natural	natural	ADJ
cana-1857	17	8	language	language	NOUN
cana-1857	17	9	processing	processing	NOUN
cana-1857	17	10	(	(	PUNCT
cana-1857	17	11	nlp	nlp	NOUN
cana-1857	17	12	)	)	PUNCT
cana-1857	17	13	technologies	technology	NOUN
cana-1857	17	14	has	have	AUX
cana-1857	17	15	paved	pave	VERB
cana-1857	17	16	the	the	DET
cana-1857	17	17	way	way	NOUN
cana-1857	17	18	for	for	ADP
cana-1857	17	19	more	more	ADV
cana-1857	17	20	dynamic	dynamic	ADJ
cana-1857	17	21	,	,	PUNCT
cana-1857	17	22	instantaneous	instantaneous	ADJ
cana-1857	17	23	,	,	PUNCT
cana-1857	17	24	and	and	CCONJ
cana-1857	17	25	impartial	impartial	ADJ
cana-1857	17	26	evaluations	evaluation	NOUN
cana-1857	17	27	.	.	PUNCT
cana-1857	18	1	sentiment	sentiment	NOUN
cana-1857	18	2	analysis	analysis	NOUN
cana-1857	18	3	,	,	PUNCT
cana-1857	18	4	a	a	DET
cana-1857	18	5	specialized	specialized	ADJ
cana-1857	18	6	branch	branch	NOUN
cana-1857	18	7	of	of	ADP
cana-1857	18	8	nlp	nlp	NOUN
cana-1857	18	9	,	,	PUNCT
cana-1857	18	10	offers	offer	VERB
cana-1857	18	11	a	a	DET
cana-1857	18	12	particularly	particularly	ADV
cana-1857	18	13	promising	promising	ADJ
cana-1857	18	14	path	path	NOUN
cana-1857	18	15	.	.	PUNCT
cana-1857	19	1	this	this	DET
cana-1857	19	2	technique	technique	NOUN
cana-1857	19	3	specializes	specialize	VERB
cana-1857	19	4	in	in	ADP
cana-1857	19	5	deciphering	decipher	VERB
cana-1857	19	6	and	and	CCONJ
cana-1857	19	7	categorizing	categorize	VERB
cana-1857	19	8	emotional	emotional	ADJ
cana-1857	19	9	undertones	undertone	NOUN
cana-1857	19	10	in	in	ADP
cana-1857	19	11	textual	textual	ADJ
cana-1857	19	12	content	content	NOUN
cana-1857	19	13	(	(	PUNCT
cana-1857	19	14	2	2	NUM
cana-1857	19	15	)	)	PUNCT
cana-1857	19	16	.	.	PUNCT
cana-1857	20	1	its	its	PRON
cana-1857	20	2	application	application	NOUN
cana-1857	20	3	in	in	ADP
cana-1857	20	4	educational	educational	ADJ
cana-1857	20	5	contexts	context	NOUN
cana-1857	20	6	,	,	PUNCT
cana-1857	20	7	especially	especially	ADV
cana-1857	20	8	for	for	ADP
cana-1857	20	9	appraising	appraise	VERB
cana-1857	20	10	faculty	faculty	NOUN
cana-1857	20	11	based	base	VERB
cana-1857	20	12	on	on	ADP
cana-1857	20	13	student	student	NOUN
cana-1857	20	14	feedback	feedback	NOUN
cana-1857	20	15	,	,	PUNCT
cana-1857	20	16	is	be	AUX
cana-1857	20	17	a	a	DET
cana-1857	20	18	budding	budding	NOUN
cana-1857	20	19	yet	yet	ADV
cana-1857	20	20	under	under	ADV
cana-1857	20	21	-	-	PUNCT
cana-1857	20	22	researched	research	VERB
cana-1857	20	23	domain	domain	NOUN
cana-1857	20	24	mailto:helariax@gmail.com	mailto:helariax@gmail.com	PROPN
cana-1857	21	1	mailto:subhashniraj2018@gmail.com	mailto:subhashniraj2018@gmail.com	PROPN
cana-1857	21	2	communications	communication	NOUN
cana-1857	21	3	on	on	ADP
cana-1857	21	4	applied	apply	VERB
cana-1857	21	5	nonlinear	nonlinear	ADJ
cana-1857	21	6	analysis	analysis	NOUN
cana-1857	21	7	issn	issn	NOUN
cana-1857	21	8	:	:	PUNCT
cana-1857	21	9	1074	1074	NUM
cana-1857	21	10	-	-	PUNCT
cana-1857	21	11	133x	133x	NUM
cana-1857	21	12	vol	vol	NOUN
cana-1857	21	13	32	32	NUM
cana-1857	21	14	no	no	NOUN
cana-1857	21	15	.	.	NOUN
cana-1857	21	16	2	2	NUM
cana-1857	21	17	(	(	PUNCT
cana-1857	21	18	2025	2025	NUM
cana-1857	21	19	)	)	PUNCT
cana-1857	21	20	611	611	NUM
cana-1857	21	21	https://internationalpubls.com	https://internationalpubls.com	X
cana-1857	21	22	a.	a.	NOUN
cana-1857	21	23	the	the	DET
cana-1857	21	24	intricacies	intricacy	NOUN
cana-1857	21	25	of	of	ADP
cana-1857	21	26	student	student	NOUN
cana-1857	21	27	feedback	feedback	NOUN
cana-1857	21	28	and	and	CCONJ
cana-1857	21	29	the	the	DET
cana-1857	21	30	need	need	NOUN
cana-1857	21	31	for	for	ADP
cana-1857	21	32	sentiment	sentiment	NOUN
cana-1857	21	33	analysis	analysis	NOUN
cana-1857	21	34	student	student	NOUN
cana-1857	21	35	evaluations	evaluation	NOUN
cana-1857	21	36	offer	offer	VERB
cana-1857	21	37	a	a	DET
cana-1857	21	38	treasure	treasure	NOUN
cana-1857	21	39	trove	trove	NOUN
cana-1857	21	40	of	of	ADP
cana-1857	21	41	data	datum	NOUN
cana-1857	21	42	that	that	PRON
cana-1857	21	43	can	can	AUX
cana-1857	21	44	shed	shed	VERB
cana-1857	21	45	light	light	NOUN
cana-1857	21	46	on	on	ADP
cana-1857	21	47	the	the	DET
cana-1857	21	48	effectiveness	effectiveness	NOUN
cana-1857	21	49	of	of	ADP
cana-1857	21	50	educators	educator	NOUN
cana-1857	21	51	.	.	PUNCT
cana-1857	22	1	traditional	traditional	ADJ
cana-1857	22	2	approaches	approach	NOUN
cana-1857	22	3	to	to	ADP
cana-1857	22	4	gathering	gather	VERB
cana-1857	22	5	and	and	CCONJ
cana-1857	22	6	interpreting	interpret	VERB
cana-1857	22	7	this	this	DET
cana-1857	22	8	feedback	feedback	NOUN
cana-1857	22	9	,	,	PUNCT
cana-1857	22	10	however	however	ADV
cana-1857	22	11	,	,	PUNCT
cana-1857	22	12	often	often	ADV
cana-1857	22	13	miss	miss	VERB
cana-1857	22	14	the	the	DET
cana-1857	22	15	mark	mark	NOUN
cana-1857	22	16	.	.	PUNCT
cana-1857	23	1	paper	paper	NOUN
cana-1857	23	2	-	-	PUNCT
cana-1857	23	3	based	base	VERB
cana-1857	23	4	feedback	feedback	NOUN
cana-1857	23	5	forms	form	NOUN
cana-1857	23	6	are	be	AUX
cana-1857	23	7	labor	labor	NOUN
cana-1857	23	8	-	-	PUNCT
cana-1857	23	9	intensive	intensive	ADJ
cana-1857	23	10	to	to	PART
cana-1857	23	11	scrutinize	scrutinize	VERB
cana-1857	23	12	and	and	CCONJ
cana-1857	23	13	are	be	AUX
cana-1857	23	14	prone	prone	ADJ
cana-1857	23	15	to	to	ADP
cana-1857	23	16	various	various	ADJ
cana-1857	23	17	biases	bias	NOUN
cana-1857	23	18	(	(	PUNCT
cana-1857	23	19	3	3	NUM
cana-1857	23	20	)	)	PUNCT
cana-1857	23	21	.	.	PUNCT
cana-1857	24	1	for	for	ADP
cana-1857	24	2	instance	instance	NOUN
cana-1857	24	3	,	,	PUNCT
cana-1857	24	4	students	student	NOUN
cana-1857	24	5	might	might	AUX
cana-1857	24	6	not	not	PART
cana-1857	24	7	be	be	AUX
cana-1857	24	8	forthright	forthright	ADJ
cana-1857	24	9	or	or	CCONJ
cana-1857	24	10	articulate	articulate	VERB
cana-1857	24	11	their	their	PRON
cana-1857	24	12	sentiments	sentiment	NOUN
cana-1857	24	13	ambiguously	ambiguously	ADV
cana-1857	24	14	,	,	PUNCT
cana-1857	24	15	leading	lead	VERB
cana-1857	24	16	to	to	ADP
cana-1857	24	17	misunderstandings	misunderstanding	NOUN
cana-1857	24	18	.	.	PUNCT
cana-1857	25	1	sentiment	sentiment	NOUN
cana-1857	25	2	analysis	analysis	NOUN
cana-1857	25	3	can	can	AUX
cana-1857	25	4	fill	fill	VERB
cana-1857	25	5	this	this	DET
cana-1857	25	6	void	void	NOUN
cana-1857	25	7	.	.	PUNCT
cana-1857	26	1	utilizing	utilize	VERB
cana-1857	26	2	machine	machine	NOUN
cana-1857	26	3	learning	learn	VERB
cana-1857	26	4	techniques	technique	NOUN
cana-1857	26	5	on	on	ADP
cana-1857	26	6	textual	textual	ADJ
cana-1857	26	7	data	datum	NOUN
cana-1857	26	8	,	,	PUNCT
cana-1857	26	9	sentiment	sentiment	NOUN
cana-1857	26	10	analysis	analysis	NOUN
cana-1857	26	11	can	can	AUX
cana-1857	26	12	offer	offer	VERB
cana-1857	26	13	a	a	DET
cana-1857	26	14	more	more	ADV
cana-1857	26	15	intricate	intricate	ADJ
cana-1857	26	16	comprehension	comprehension	NOUN
cana-1857	26	17	of	of	ADP
cana-1857	26	18	student	student	NOUN
cana-1857	26	19	evaluations	evaluation	NOUN
cana-1857	26	20	,	,	PUNCT
cana-1857	26	21	thereby	thereby	ADV
cana-1857	26	22	enhancing	enhance	VERB
cana-1857	26	23	the	the	DET
cana-1857	26	24	reliability	reliability	NOUN
cana-1857	26	25	of	of	ADP
cana-1857	26	26	faculty	faculty	NOUN
cana-1857	26	27	assessments	assessment	NOUN
cana-1857	26	28	.	.	PUNCT
cana-1857	27	1	b.	b.	PROPN
cana-1857	27	2	lexicon	lexicon	PROPN
cana-1857	27	3	-	-	PUNCT
cana-1857	27	4	based	base	VERB
cana-1857	27	5	sentiment	sentiment	NOUN
cana-1857	27	6	analysis	analysis	NOUN
cana-1857	27	7	:	:	PUNCT
cana-1857	27	8	a	a	DET
cana-1857	27	9	focused	focused	ADJ
cana-1857	27	10	approach	approach	NOUN
cana-1857	27	11	a	a	DET
cana-1857	27	12	particularly	particularly	ADV
cana-1857	27	13	potent	potent	ADJ
cana-1857	27	14	strategy	strategy	NOUN
cana-1857	27	15	in	in	ADP
cana-1857	27	16	sentiment	sentiment	NOUN
cana-1857	27	17	analysis	analysis	NOUN
cana-1857	27	18	is	be	AUX
cana-1857	27	19	the	the	DET
cana-1857	27	20	lexicon	lexicon	ADJ
cana-1857	27	21	-	-	PUNCT
cana-1857	27	22	centric	centric	ADJ
cana-1857	27	23	method	method	NOUN
cana-1857	27	24	.	.	PUNCT
cana-1857	28	1	this	this	DET
cana-1857	28	2	approach	approach	NOUN
cana-1857	28	3	employs	employ	VERB
cana-1857	28	4	a	a	DET
cana-1857	28	5	predetermined	predetermined	ADJ
cana-1857	28	6	list	list	NOUN
cana-1857	28	7	of	of	ADP
cana-1857	28	8	words	word	NOUN
cana-1857	28	9	,	,	PUNCT
cana-1857	28	10	each	each	PRON
cana-1857	28	11	tagged	tag	VERB
cana-1857	28	12	with	with	ADP
cana-1857	28	13	a	a	DET
cana-1857	28	14	sentiment	sentiment	NOUN
cana-1857	28	15	score	score	NOUN
cana-1857	28	16	to	to	PART
cana-1857	28	17	denote	denote	VERB
cana-1857	28	18	its	its	PRON
cana-1857	28	19	emotional	emotional	ADJ
cana-1857	28	20	tone	tone	NOUN
cana-1857	28	21	—	—	PUNCT
cana-1857	28	22	either	either	CCONJ
cana-1857	28	23	positive	positive	ADJ
cana-1857	28	24	,	,	PUNCT
cana-1857	28	25	negative	negative	ADJ
cana-1857	28	26	,	,	PUNCT
cana-1857	28	27	or	or	CCONJ
cana-1857	28	28	neutral	neutral	ADJ
cana-1857	28	29	(	(	PUNCT
cana-1857	28	30	4	4	NUM
cana-1857	28	31	)	)	PUNCT
cana-1857	28	32	.	.	PUNCT
cana-1857	29	1	this	this	DET
cana-1857	29	2	technique	technique	NOUN
cana-1857	29	3	is	be	AUX
cana-1857	29	4	especially	especially	ADV
cana-1857	29	5	relevant	relevant	ADJ
cana-1857	29	6	in	in	ADP
cana-1857	29	7	educational	educational	ADJ
cana-1857	29	8	contexts	context	NOUN
cana-1857	29	9	where	where	SCONJ
cana-1857	29	10	feedback	feedback	NOUN
cana-1857	29	11	can	can	AUX
cana-1857	29	12	be	be	AUX
cana-1857	29	13	highly	highly	ADV
cana-1857	29	14	specialized	specialized	ADJ
cana-1857	29	15	.	.	PUNCT
cana-1857	30	1	however	however	ADV
cana-1857	30	2	,	,	PUNCT
cana-1857	30	3	most	most	ADV
cana-1857	30	4	available	available	ADJ
cana-1857	30	5	lexicons	lexicon	NOUN
cana-1857	30	6	are	be	AUX
cana-1857	30	7	universal	universal	ADJ
cana-1857	30	8	and	and	CCONJ
cana-1857	30	9	may	may	AUX
cana-1857	30	10	not	not	PART
cana-1857	30	11	effectively	effectively	ADV
cana-1857	30	12	capture	capture	VERB
cana-1857	30	13	the	the	DET
cana-1857	30	14	subtleties	subtlety	NOUN
cana-1857	30	15	of	of	ADP
cana-1857	30	16	educational	educational	ADJ
cana-1857	30	17	evaluations	evaluation	NOUN
cana-1857	30	18	.	.	PUNCT
cana-1857	31	1	this	this	DET
cana-1857	31	2	study	study	NOUN
cana-1857	31	3	seeks	seek	VERB
cana-1857	31	4	to	to	PART
cana-1857	31	5	fill	fill	VERB
cana-1857	31	6	this	this	DET
cana-1857	31	7	void	void	NOUN
cana-1857	31	8	by	by	ADP
cana-1857	31	9	crafting	craft	VERB
cana-1857	31	10	a	a	DET
cana-1857	31	11	specialized	specialized	ADJ
cana-1857	31	12	educational	educational	ADJ
cana-1857	31	13	sentiment	sentiment	NOUN
cana-1857	31	14	lexicon	lexicon	NOUN
cana-1857	31	15	designed	design	VERB
cana-1857	31	16	to	to	PART
cana-1857	31	17	scrutinize	scrutinize	VERB
cana-1857	31	18	student	student	NOUN
cana-1857	31	19	evaluations	evaluation	NOUN
cana-1857	31	20	of	of	ADP
cana-1857	31	21	faculty	faculty	NOUN
cana-1857	31	22	performance	performance	NOUN
cana-1857	31	23	.	.	PUNCT
cana-1857	32	1	c.	c.	PROPN
cana-1857	32	2	bridging	bridge	VERB
cana-1857	32	3	the	the	DET
cana-1857	32	4	gap	gap	NOUN
cana-1857	32	5	:	:	PUNCT
cana-1857	32	6	spoken	speak	VERB
cana-1857	32	7	feedback	feedback	NOUN
cana-1857	32	8	and	and	CCONJ
cana-1857	32	9	real	real	ADJ
cana-1857	32	10	-	-	PUNCT
cana-1857	32	11	time	time	NOUN
cana-1857	32	12	analysis	analysis	NOUN
cana-1857	32	13	another	another	DET
cana-1857	32	14	innovative	innovative	ADJ
cana-1857	32	15	facet	facet	NOUN
cana-1857	32	16	of	of	ADP
cana-1857	32	17	this	this	DET
cana-1857	32	18	study	study	NOUN
cana-1857	32	19	is	be	AUX
cana-1857	32	20	its	its	PRON
cana-1857	32	21	emphasis	emphasis	NOUN
cana-1857	32	22	on	on	ADP
cana-1857	32	23	oral	oral	ADJ
cana-1857	32	24	student	student	NOUN
cana-1857	32	25	evaluations	evaluation	NOUN
cana-1857	32	26	.	.	PUNCT
cana-1857	33	1	while	while	SCONJ
cana-1857	33	2	written	write	VERB
cana-1857	33	3	evaluations	evaluation	NOUN
cana-1857	33	4	have	have	AUX
cana-1857	33	5	been	be	AUX
cana-1857	33	6	the	the	DET
cana-1857	33	7	subject	subject	NOUN
cana-1857	33	8	of	of	ADP
cana-1857	33	9	extensive	extensive	ADJ
cana-1857	33	10	research	research	NOUN
cana-1857	33	11	,	,	PUNCT
cana-1857	33	12	oral	oral	ADJ
cana-1857	33	13	feedback	feedback	NOUN
cana-1857	33	14	remains	remain	VERB
cana-1857	33	15	largely	largely	ADV
cana-1857	33	16	unexplored	unexplored	ADJ
cana-1857	33	17	.	.	PUNCT
cana-1857	34	1	oral	oral	ADJ
cana-1857	34	2	evaluations	evaluation	NOUN
cana-1857	34	3	offer	offer	VERB
cana-1857	34	4	the	the	DET
cana-1857	34	5	benefit	benefit	NOUN
cana-1857	34	6	of	of	ADP
cana-1857	34	7	being	be	AUX
cana-1857	34	8	more	more	ADV
cana-1857	34	9	immediate	immediate	ADJ
cana-1857	34	10	and	and	CCONJ
cana-1857	34	11	,	,	PUNCT
cana-1857	34	12	often	often	ADV
cana-1857	34	13	,	,	PUNCT
cana-1857	34	14	more	more	ADV
cana-1857	34	15	candid	candid	ADJ
cana-1857	34	16	.	.	PUNCT
cana-1857	35	1	however	however	ADV
cana-1857	35	2	,	,	PUNCT
cana-1857	35	3	they	they	PRON
cana-1857	35	4	also	also	ADV
cana-1857	35	5	introduce	introduce	VERB
cana-1857	35	6	unique	unique	ADJ
cana-1857	35	7	challenges	challenge	NOUN
cana-1857	35	8	,	,	PUNCT
cana-1857	35	9	such	such	ADJ
cana-1857	35	10	as	as	ADP
cana-1857	35	11	the	the	DET
cana-1857	35	12	necessity	necessity	NOUN
cana-1857	35	13	for	for	ADP
cana-1857	35	14	precise	precise	ADJ
cana-1857	35	15	speech	speech	NOUN
cana-1857	35	16	-	-	PUNCT
cana-1857	35	17	to	to	ADP
cana-1857	35	18	-	-	PUNCT
cana-1857	35	19	text	text	NOUN
cana-1857	35	20	translation	translation	NOUN
cana-1857	35	21	and	and	CCONJ
cana-1857	35	22	the	the	DET
cana-1857	35	23	intricacy	intricacy	NOUN
cana-1857	35	24	of	of	ADP
cana-1857	35	25	dissecting	dissect	VERB
cana-1857	35	26	spoken	spoken	ADJ
cana-1857	35	27	language	language	NOUN
cana-1857	35	28	,	,	PUNCT
cana-1857	35	29	which	which	PRON
cana-1857	35	30	may	may	AUX
cana-1857	35	31	lack	lack	VERB
cana-1857	35	32	the	the	DET
cana-1857	35	33	grammatical	grammatical	ADJ
cana-1857	35	34	rigor	rigor	NOUN
cana-1857	35	35	of	of	ADP
cana-1857	35	36	written	write	VERB
cana-1857	35	37	text	text	NOUN
cana-1857	35	38	.	.	PUNCT
cana-1857	36	1	this	this	DET
cana-1857	36	2	study	study	NOUN
cana-1857	36	3	aims	aim	VERB
cana-1857	36	4	to	to	PART
cana-1857	36	5	overcome	overcome	VERB
cana-1857	36	6	these	these	DET
cana-1857	36	7	challenges	challenge	NOUN
cana-1857	36	8	by	by	ADP
cana-1857	36	9	utilizing	utilize	VERB
cana-1857	36	10	state	state	NOUN
cana-1857	36	11	-	-	PUNCT
cana-1857	36	12	of	of	ADP
cana-1857	36	13	-	-	PUNCT
cana-1857	36	14	the	the	DET
cana-1857	36	15	-	-	PUNCT
cana-1857	36	16	art	art	NOUN
cana-1857	36	17	speech	speech	NOUN
cana-1857	36	18	-	-	PUNCT
cana-1857	36	19	to	to	ADP
cana-1857	36	20	-	-	PUNCT
cana-1857	36	21	text	text	NOUN
cana-1857	36	22	algorithms	algorithm	NOUN
cana-1857	36	23	to	to	PART
cana-1857	36	24	transcribe	transcribe	VERB
cana-1857	36	25	oral	oral	ADJ
cana-1857	36	26	feedback	feedback	NOUN
cana-1857	36	27	into	into	ADP
cana-1857	36	28	textual	textual	ADJ
cana-1857	36	29	data	datum	NOUN
cana-1857	36	30	.	.	PUNCT
cana-1857	37	1	this	this	DET
cana-1857	37	2	data	data	NOUN
cana-1857	37	3	is	be	AUX
cana-1857	37	4	then	then	ADV
cana-1857	37	5	analyzed	analyze	VERB
cana-1857	37	6	using	use	VERB
cana-1857	37	7	our	our	PRON
cana-1857	37	8	specialized	specialized	ADJ
cana-1857	37	9	educational	educational	ADJ
cana-1857	37	10	sentiment	sentiment	NOUN
cana-1857	37	11	lexicon	lexicon	NOUN
cana-1857	37	12	and	and	CCONJ
cana-1857	37	13	sophisticated	sophisticated	ADJ
cana-1857	37	14	machine	machine	NOUN
cana-1857	37	15	learning	learn	VERB
cana-1857	37	16	techniques	technique	NOUN
cana-1857	37	17	.	.	PUNCT
cana-1857	38	1	the	the	DET
cana-1857	38	2	ultimate	ultimate	ADJ
cana-1857	38	3	objective	objective	NOUN
cana-1857	38	4	is	be	AUX
cana-1857	38	5	to	to	PART
cana-1857	38	6	establish	establish	VERB
cana-1857	38	7	a	a	DET
cana-1857	38	8	real	real	ADJ
cana-1857	38	9	-	-	PUNCT
cana-1857	38	10	time	time	NOUN
cana-1857	38	11	sentiment	sentiment	NOUN
cana-1857	38	12	analysis	analysis	NOUN
cana-1857	38	13	framework	framework	NOUN
cana-1857	38	14	that	that	PRON
cana-1857	38	15	can	can	AUX
cana-1857	38	16	offer	offer	VERB
cana-1857	38	17	immediate	immediate	ADJ
cana-1857	38	18	insights	insight	NOUN
cana-1857	38	19	into	into	ADP
cana-1857	38	20	educator	educator	NOUN
cana-1857	38	21	effectiveness	effectiveness	NOUN
cana-1857	38	22	,	,	PUNCT
cana-1857	38	23	thereby	thereby	ADV
cana-1857	38	24	enabling	enable	VERB
cana-1857	38	25	prompt	prompt	ADJ
cana-1857	38	26	interventions	intervention	NOUN
cana-1857	38	27	and	and	CCONJ
cana-1857	38	28	enhancements	enhancement	NOUN
cana-1857	38	29	.	.	PUNCT
cana-1857	39	1	2	2	X
cana-1857	39	2	.	.	X
cana-1857	39	3	literature	literature	NOUN
cana-1857	39	4	review	review	VERB
cana-1857	39	5	the	the	DET
cana-1857	39	6	burgeoning	burgeon	VERB
cana-1857	39	7	field	field	NOUN
cana-1857	39	8	of	of	ADP
cana-1857	39	9	sentiment	sentiment	NOUN
cana-1857	39	10	analysis	analysis	NOUN
cana-1857	39	11	in	in	ADP
cana-1857	39	12	educational	educational	ADJ
cana-1857	39	13	contexts	context	NOUN
cana-1857	39	14	has	have	AUX
cana-1857	39	15	seen	see	VERB
cana-1857	39	16	a	a	DET
cana-1857	39	17	plethora	plethora	NOUN
cana-1857	39	18	of	of	ADP
cana-1857	39	19	research	research	NOUN
cana-1857	39	20	endeavors	endeavor	NOUN
cana-1857	39	21	aimed	aim	VERB
cana-1857	39	22	at	at	ADP
cana-1857	39	23	leveraging	leverage	VERB
cana-1857	39	24	machine	machine	NOUN
cana-1857	39	25	learning	learning	NOUN
cana-1857	39	26	and	and	CCONJ
cana-1857	39	27	natural	natural	ADJ
cana-1857	39	28	language	language	NOUN
cana-1857	39	29	processing	processing	NOUN
cana-1857	39	30	techniques	technique	NOUN
cana-1857	39	31	to	to	PART
cana-1857	39	32	evaluate	evaluate	VERB
cana-1857	39	33	faculty	faculty	NOUN
cana-1857	39	34	performance	performance	NOUN
cana-1857	39	35	based	base	VERB
cana-1857	39	36	on	on	ADP
cana-1857	39	37	student	student	NOUN
cana-1857	39	38	feedback	feedback	NOUN
cana-1857	39	39	(	(	PUNCT
cana-1857	39	40	6	6	NUM
cana-1857	39	41	)	)	PUNCT
cana-1857	39	42	.	.	PUNCT
cana-1857	40	1	these	these	DET
cana-1857	40	2	studies	study	NOUN
cana-1857	40	3	employ	employ	VERB
cana-1857	40	4	a	a	DET
cana-1857	40	5	myriad	myriad	NOUN
cana-1857	40	6	of	of	ADP
cana-1857	40	7	methodologies	methodology	NOUN
cana-1857	40	8	and	and	CCONJ
cana-1857	40	9	technologies	technology	NOUN
cana-1857	40	10	,	,	PUNCT
cana-1857	40	11	each	each	PRON
cana-1857	40	12	with	with	ADP
cana-1857	40	13	its	its	PRON
cana-1857	40	14	own	own	ADJ
cana-1857	40	15	set	set	NOUN
cana-1857	40	16	of	of	ADP
cana-1857	40	17	merits	merit	NOUN
cana-1857	40	18	and	and	CCONJ
cana-1857	40	19	limitations	limitation	NOUN
cana-1857	40	20	.	.	PUNCT
cana-1857	41	1	this	this	DET
cana-1857	41	2	literature	literature	NOUN
cana-1857	41	3	review	review	NOUN
cana-1857	41	4	section	section	NOUN
cana-1857	41	5	aims	aim	VERB
cana-1857	41	6	to	to	PART
cana-1857	41	7	provide	provide	VERB
cana-1857	41	8	an	an	DET
cana-1857	41	9	exhaustive	exhaustive	ADJ
cana-1857	41	10	critique	critique	NOUN
cana-1857	41	11	of	of	ADP
cana-1857	41	12	the	the	DET
cana-1857	41	13	existing	exist	VERB
cana-1857	41	14	body	body	NOUN
cana-1857	41	15	of	of	ADP
cana-1857	41	16	work	work	NOUN
cana-1857	41	17	,	,	PUNCT
cana-1857	41	18	thereby	thereby	ADV
cana-1857	41	19	laying	lay	VERB
cana-1857	41	20	the	the	DET
cana-1857	41	21	groundwork	groundwork	NOUN
cana-1857	41	22	for	for	ADP
cana-1857	41	23	our	our	PRON
cana-1857	41	24	own	own	ADJ
cana-1857	41	25	research	research	NOUN
cana-1857	41	26	,	,	PUNCT
cana-1857	41	27	which	which	PRON
cana-1857	41	28	seeks	seek	VERB
cana-1857	41	29	to	to	PART
cana-1857	41	30	address	address	VERB
cana-1857	41	31	the	the	DET
cana-1857	41	32	gaps	gap	NOUN
cana-1857	41	33	identified	identify	VERB
cana-1857	41	34	herein	herein	NOUN
cana-1857	41	35	.	.	PUNCT
cana-1857	42	1	ochilbek	ochilbek	PROPN
cana-1857	42	2	rakhmanov	rakhmanov	PROPN
cana-1857	42	3	et	et	PROPN
cana-1857	42	4	al	al	PROPN
cana-1857	42	5	(	(	PUNCT
cana-1857	42	6	7	7	X
cana-1857	42	7	)	)	PUNCT
cana-1857	42	8	explained	explain	VERB
cana-1857	42	9	the	the	DET
cana-1857	42	10	use	use	NOUN
cana-1857	42	11	of	of	ADP
cana-1857	42	12	machine	machine	NOUN
cana-1857	42	13	learning	learning	NOUN
cana-1857	42	14	algorithms	algorithm	NOUN
cana-1857	42	15	,	,	PUNCT
cana-1857	42	16	ranging	range	VERB
cana-1857	42	17	from	from	ADP
cana-1857	42	18	traditional	traditional	ADJ
cana-1857	42	19	methods	method	NOUN
cana-1857	42	20	like	like	ADP
cana-1857	42	21	random	random	ADJ
cana-1857	42	22	forest	forest	NOUN
cana-1857	42	23	and	and	CCONJ
cana-1857	42	24	support	support	VERB
cana-1857	42	25	vector	vector	NOUN
cana-1857	42	26	machines	machine	NOUN
cana-1857	42	27	(	(	PUNCT
cana-1857	42	28	svm	svm	PROPN
cana-1857	42	29	)	)	PUNCT
cana-1857	42	30	to	to	ADP
cana-1857	42	31	more	more	ADV
cana-1857	42	32	advanced	advanced	ADJ
cana-1857	42	33	techniques	technique	NOUN
cana-1857	42	34	like	like	ADP
cana-1857	42	35	long	long	ADJ
cana-1857	42	36	short	short	ADJ
cana-1857	42	37	-	-	PUNCT
cana-1857	42	38	term	term	NOUN
cana-1857	42	39	memory	memory	NOUN
cana-1857	42	40	(	(	PUNCT
cana-1857	42	41	lstm	lstm	NOUN
cana-1857	42	42	)	)	PUNCT
cana-1857	42	43	,	,	PUNCT
cana-1857	42	44	bi	bi	ADJ
cana-1857	42	45	-	-	ADJ
cana-1857	42	46	directional	directional	ADJ
cana-1857	42	47	lstm	lstm	PROPN
cana-1857	42	48	,	,	PUNCT
cana-1857	42	49	bert	bert	PROPN
cana-1857	42	50	,	,	PUNCT
cana-1857	42	51	and	and	CCONJ
cana-1857	42	52	roberta	roberta	PROPN
cana-1857	42	53	.	.	PUNCT
cana-1857	43	1	however	however	ADV
cana-1857	43	2	,	,	PUNCT
cana-1857	43	3	a	a	DET
cana-1857	43	4	glaring	glaring	ADJ
cana-1857	43	5	limitation	limitation	NOUN
cana-1857	43	6	of	of	ADP
cana-1857	43	7	this	this	DET
cana-1857	43	8	study	study	NOUN
cana-1857	43	9	is	be	AUX
cana-1857	43	10	the	the	DET
cana-1857	43	11	absence	absence	NOUN
cana-1857	43	12	of	of	ADP
cana-1857	43	13	specific	specific	ADJ
cana-1857	43	14	numerical	numerical	ADJ
cana-1857	43	15	results	result	NOUN
cana-1857	43	16	.	.	PUNCT
cana-1857	44	1	this	this	DET
cana-1857	44	2	omission	omission	NOUN
cana-1857	44	3	hampers	hamper	VERB
cana-1857	44	4	the	the	DET
cana-1857	44	5	ability	ability	NOUN
cana-1857	44	6	to	to	PART
cana-1857	44	7	gauge	gauge	VERB
cana-1857	44	8	the	the	DET
cana-1857	44	9	effectiveness	effectiveness	NOUN
cana-1857	44	10	of	of	ADP
cana-1857	44	11	the	the	DET
cana-1857	44	12	algorithms	algorithm	NOUN
cana-1857	44	13	employed	employ	VERB
cana-1857	44	14	,	,	PUNCT
cana-1857	44	15	thereby	thereby	ADV
cana-1857	44	16	communications	communication	NOUN
cana-1857	44	17	on	on	ADP
cana-1857	44	18	applied	apply	VERB
cana-1857	44	19	nonlinear	nonlinear	ADJ
cana-1857	44	20	analysis	analysis	NOUN
cana-1857	44	21	issn	issn	NOUN
cana-1857	44	22	:	:	PUNCT
cana-1857	44	23	1074	1074	NUM
cana-1857	44	24	-	-	PUNCT
cana-1857	44	25	133x	133x	NUM
cana-1857	44	26	vol	vol	NOUN
cana-1857	44	27	32	32	NUM
cana-1857	44	28	no	no	NOUN
cana-1857	44	29	.	.	NOUN
cana-1857	44	30	2	2	NUM
cana-1857	44	31	(	(	PUNCT
cana-1857	44	32	2025	2025	NUM
cana-1857	44	33	)	)	PUNCT
cana-1857	44	34	612	612	NUM
cana-1857	44	35	https://internationalpubls.com	https://internationalpubls.com	X
cana-1857	45	1	leaving	leave	VERB
cana-1857	45	2	a	a	DET
cana-1857	45	3	gap	gap	NOUN
cana-1857	45	4	in	in	ADP
cana-1857	45	5	the	the	DET
cana-1857	45	6	literature	literature	NOUN
cana-1857	45	7	that	that	SCONJ
cana-1857	45	8	future	future	ADJ
cana-1857	45	9	research	research	NOUN
cana-1857	45	10	could	could	AUX
cana-1857	45	11	aim	aim	VERB
cana-1857	45	12	to	to	PART
cana-1857	45	13	fill	fill	VERB
cana-1857	45	14	.	.	PUNCT
cana-1857	46	1	the	the	DET
cana-1857	46	2	lack	lack	NOUN
cana-1857	46	3	of	of	ADP
cana-1857	46	4	quantitative	quantitative	ADJ
cana-1857	46	5	data	datum	NOUN
cana-1857	46	6	also	also	ADV
cana-1857	46	7	raises	raise	VERB
cana-1857	46	8	questions	question	NOUN
cana-1857	46	9	about	about	ADP
cana-1857	46	10	the	the	DET
cana-1857	46	11	replicability	replicability	NOUN
cana-1857	46	12	of	of	ADP
cana-1857	46	13	the	the	DET
cana-1857	46	14	study	study	NOUN
cana-1857	46	15	,	,	PUNCT
cana-1857	46	16	a	a	DET
cana-1857	46	17	cornerstone	cornerstone	NOUN
cana-1857	46	18	of	of	ADP
cana-1857	46	19	scientific	scientific	ADJ
cana-1857	46	20	research	research	NOUN
cana-1857	46	21	.	.	PUNCT
cana-1857	47	1	venkateswarlu	venkateswarlu	NOUN
cana-1857	47	2	bonta	bonta	PROPN
cana-1857	47	3	et	et	PROPN
cana-1857	47	4	al	al	PROPN
cana-1857	47	5	(	(	PUNCT
cana-1857	47	6	8)	8)	NUM
cana-1857	47	7	employed	employ	VERB
cana-1857	47	8	natural	natural	ADJ
cana-1857	47	9	language	language	NOUN
cana-1857	47	10	toolkit	toolkit	NOUN
cana-1857	47	11	(	(	PUNCT
cana-1857	47	12	nltk	nltk	PROPN
cana-1857	47	13	)	)	PUNCT
cana-1857	47	14	,	,	PUNCT
cana-1857	47	15	textblob	textblob	NOUN
cana-1857	47	16	,	,	PUNCT
cana-1857	47	17	and	and	CCONJ
cana-1857	47	18	vader	vader	NOUN
cana-1857	47	19	to	to	PART
cana-1857	47	20	conduct	conduct	VERB
cana-1857	47	21	sentiment	sentiment	NOUN
cana-1857	47	22	analysis	analysis	NOUN
cana-1857	47	23	and	and	CCONJ
cana-1857	47	24	conclude	conclude	VERB
cana-1857	47	25	that	that	SCONJ
cana-1857	47	26	vader	vader	NOUN
cana-1857	47	27	outperforms	outperform	VERB
cana-1857	47	28	textblob	textblob	NOUN
cana-1857	47	29	.	.	PUNCT
cana-1857	48	1	while	while	SCONJ
cana-1857	48	2	the	the	DET
cana-1857	48	3	study	study	NOUN
cana-1857	48	4	provides	provide	VERB
cana-1857	48	5	valuable	valuable	ADJ
cana-1857	48	6	insights	insight	NOUN
cana-1857	48	7	into	into	ADP
cana-1857	48	8	the	the	DET
cana-1857	48	9	performance	performance	NOUN
cana-1857	48	10	of	of	ADP
cana-1857	48	11	different	different	ADJ
cana-1857	48	12	lexicons	lexicon	NOUN
cana-1857	48	13	,	,	PUNCT
cana-1857	48	14	it	it	PRON
cana-1857	48	15	does	do	AUX
cana-1857	48	16	not	not	PART
cana-1857	48	17	delve	delve	VERB
cana-1857	48	18	into	into	ADP
cana-1857	48	19	the	the	DET
cana-1857	48	20	limitations	limitation	NOUN
cana-1857	48	21	or	or	CCONJ
cana-1857	48	22	potential	potential	ADJ
cana-1857	48	23	biases	bias	NOUN
cana-1857	48	24	inherent	inherent	ADJ
cana-1857	48	25	in	in	ADP
cana-1857	48	26	these	these	DET
cana-1857	48	27	lexicons	lexicon	NOUN
cana-1857	48	28	.	.	PUNCT
cana-1857	49	1	this	this	DET
cana-1857	49	2	omission	omission	NOUN
cana-1857	49	3	is	be	AUX
cana-1857	49	4	particularly	particularly	ADV
cana-1857	49	5	glaring	glare	VERB
cana-1857	49	6	given	give	VERB
cana-1857	49	7	that	that	SCONJ
cana-1857	49	8	educational	educational	ADJ
cana-1857	49	9	feedback	feedback	NOUN
cana-1857	49	10	can	can	AUX
cana-1857	49	11	be	be	AUX
cana-1857	49	12	highly	highly	ADV
cana-1857	49	13	context	context	NOUN
cana-1857	49	14	-	-	PUNCT
cana-1857	49	15	specific	specific	ADJ
cana-1857	49	16	and	and	CCONJ
cana-1857	49	17	laden	laden	ADJ
cana-1857	49	18	with	with	ADP
cana-1857	49	19	jargon	jargon	NOUN
cana-1857	49	20	and	and	CCONJ
cana-1857	49	21	idioms	idiom	NOUN
cana-1857	49	22	that	that	SCONJ
cana-1857	49	23	generic	generic	ADJ
cana-1857	49	24	lexicons	lexicon	NOUN
cana-1857	49	25	may	may	AUX
cana-1857	49	26	not	not	PART
cana-1857	49	27	adequately	adequately	ADV
cana-1857	49	28	capture	capture	VERB
cana-1857	49	29	.	.	PUNCT
cana-1857	50	1	irum	irum	PROPN
cana-1857	50	2	sindhu	sindhu	PROPN
cana-1857	50	3	et	et	PROPN
cana-1857	50	4	al	al	PROPN
cana-1857	50	5	(	(	PUNCT
cana-1857	50	6	9	9	X
cana-1857	50	7	)	)	PUNCT
cana-1857	50	8	delves	delf	NOUN
cana-1857	50	9	into	into	ADP
cana-1857	50	10	the	the	DET
cana-1857	50	11	realm	realm	NOUN
cana-1857	50	12	of	of	ADP
cana-1857	50	13	aspect	aspect	NOUN
cana-1857	50	14	-	-	PUNCT
cana-1857	50	15	based	base	VERB
cana-1857	50	16	sentiment	sentiment	NOUN
cana-1857	50	17	analysis	analysis	NOUN
cana-1857	50	18	,	,	PUNCT
cana-1857	50	19	employing	employ	VERB
cana-1857	50	20	a	a	DET
cana-1857	50	21	twolayered	twolayere	VERB
cana-1857	50	22	long	long	ADJ
cana-1857	50	23	short	short	ADJ
cana-1857	50	24	-	-	PUNCT
cana-1857	50	25	term	term	NOUN
cana-1857	50	26	memory	memory	NOUN
cana-1857	50	27	(	(	PUNCT
cana-1857	50	28	lstm	lstm	NOUN
cana-1857	50	29	)	)	PUNCT
cana-1857	50	30	network	network	NOUN
cana-1857	50	31	.	.	PUNCT
cana-1857	51	1	the	the	DET
cana-1857	51	2	study	study	NOUN
cana-1857	51	3	reports	report	VERB
cana-1857	51	4	an	an	DET
cana-1857	51	5	accuracy	accuracy	NOUN
cana-1857	51	6	of	of	ADP
cana-1857	51	7	91	91	NUM
cana-1857	51	8	%	%	NOUN
cana-1857	51	9	for	for	ADP
cana-1857	51	10	aspect	aspect	NOUN
cana-1857	51	11	extraction	extraction	NOUN
cana-1857	51	12	and	and	CCONJ
cana-1857	51	13	93	93	NUM
cana-1857	51	14	%	%	NOUN
cana-1857	51	15	for	for	ADP
cana-1857	51	16	sentiment	sentiment	NOUN
cana-1857	51	17	polarity	polarity	NOUN
cana-1857	51	18	.	.	PUNCT
cana-1857	52	1	while	while	SCONJ
cana-1857	52	2	these	these	DET
cana-1857	52	3	results	result	NOUN
cana-1857	52	4	are	be	AUX
cana-1857	52	5	promising	promise	VERB
cana-1857	52	6	,	,	PUNCT
cana-1857	52	7	the	the	DET
cana-1857	52	8	paper	paper	NOUN
cana-1857	52	9	does	do	AUX
cana-1857	52	10	not	not	PART
cana-1857	52	11	address	address	VERB
cana-1857	52	12	the	the	DET
cana-1857	52	13	computational	computational	ADJ
cana-1857	52	14	cost	cost	NOUN
cana-1857	52	15	associated	associate	VERB
cana-1857	52	16	with	with	ADP
cana-1857	52	17	deep	deep	ADJ
cana-1857	52	18	learning	learning	NOUN
cana-1857	52	19	models	model	NOUN
cana-1857	52	20	.	.	PUNCT
cana-1857	53	1	this	this	PRON
cana-1857	53	2	is	be	AUX
cana-1857	53	3	a	a	DET
cana-1857	53	4	critical	critical	ADJ
cana-1857	53	5	oversight	oversight	NOUN
cana-1857	53	6	,	,	PUNCT
cana-1857	53	7	as	as	SCONJ
cana-1857	53	8	the	the	DET
cana-1857	53	9	feasibility	feasibility	NOUN
cana-1857	53	10	of	of	ADP
cana-1857	53	11	implementing	implement	VERB
cana-1857	53	12	such	such	ADJ
cana-1857	53	13	models	model	NOUN
cana-1857	53	14	in	in	ADP
cana-1857	53	15	real	real	ADJ
cana-1857	53	16	-	-	PUNCT
cana-1857	53	17	time	time	NOUN
cana-1857	53	18	educational	educational	ADJ
cana-1857	53	19	settings	setting	NOUN
cana-1857	53	20	remains	remain	VERB
cana-1857	53	21	an	an	DET
cana-1857	53	22	open	open	ADJ
cana-1857	53	23	question	question	NOUN
cana-1857	53	24	.	.	PUNCT
cana-1857	54	1	moreover	moreover	ADV
cana-1857	54	2	,	,	PUNCT
cana-1857	54	3	the	the	DET
cana-1857	54	4	study	study	NOUN
cana-1857	54	5	does	do	AUX
cana-1857	54	6	not	not	PART
cana-1857	54	7	explore	explore	VERB
cana-1857	54	8	alternative	alternative	ADJ
cana-1857	54	9	machine	machine	NOUN
cana-1857	54	10	learning	learn	VERB
cana-1857	54	11	algorithms	algorithm	NOUN
cana-1857	54	12	that	that	PRON
cana-1857	54	13	might	might	AUX
cana-1857	54	14	offer	offer	VERB
cana-1857	54	15	comparable	comparable	ADJ
cana-1857	54	16	performance	performance	NOUN
cana-1857	54	17	with	with	ADP
cana-1857	54	18	lower	low	ADJ
cana-1857	54	19	computational	computational	ADJ
cana-1857	54	20	overhead	overhead	NOUN
cana-1857	54	21	.	.	PUNCT
cana-1857	55	1	ganpat	ganpat	VERB
cana-1857	55	2	singh	singh	PROPN
cana-1857	55	3	chauhan	chauhan	PROPN
cana-1857	55	4	et	et	PROPN
cana-1857	55	5	al	al	PROPN
cana-1857	55	6	(	(	PUNCT
cana-1857	55	7	10	10	NUM
cana-1857	55	8	)	)	PUNCT
cana-1857	55	9	utilized	utilize	VERB
cana-1857	55	10	naive	naive	ADJ
cana-1857	55	11	bayes	bayes	NOUN
cana-1857	55	12	and	and	CCONJ
cana-1857	55	13	part	part	NOUN
cana-1857	55	14	-	-	PUNCT
cana-1857	55	15	of	of	ADP
cana-1857	55	16	-	-	PUNCT
cana-1857	55	17	speech	speech	NOUN
cana-1857	55	18	(	(	PUNCT
cana-1857	55	19	pos	pos	NOUN
cana-1857	55	20	)	)	PUNCT
cana-1857	55	21	taggers	tagger	NOUN
cana-1857	55	22	to	to	PART
cana-1857	55	23	conduct	conduct	VERB
cana-1857	55	24	its	its	PRON
cana-1857	55	25	analysis	analysis	NOUN
cana-1857	55	26	.	.	PUNCT
cana-1857	56	1	it	it	PRON
cana-1857	56	2	reports	report	VERB
cana-1857	56	3	an	an	DET
cana-1857	56	4	f	f	NOUN
cana-1857	56	5	-	-	PUNCT
cana-1857	56	6	measure	measure	NOUN
cana-1857	56	7	of	of	ADP
cana-1857	56	8	0.80	0.80	NUM
cana-1857	56	9	for	for	ADP
cana-1857	56	10	teaching	teach	VERB
cana-1857	56	11	aspects	aspect	NOUN
cana-1857	56	12	and	and	CCONJ
cana-1857	56	13	0.81	0.81	NUM
cana-1857	56	14	for	for	ADP
cana-1857	56	15	course	course	NOUN
cana-1857	56	16	aspects	aspect	NOUN
cana-1857	56	17	.	.	PUNCT
cana-1857	57	1	while	while	SCONJ
cana-1857	57	2	the	the	DET
cana-1857	57	3	paper	paper	NOUN
cana-1857	57	4	provides	provide	VERB
cana-1857	57	5	valuable	valuable	ADJ
cana-1857	57	6	insights	insight	NOUN
cana-1857	57	7	into	into	ADP
cana-1857	57	8	the	the	DET
cana-1857	57	9	utility	utility	NOUN
cana-1857	57	10	of	of	ADP
cana-1857	57	11	pos	pos	NOUN
cana-1857	57	12	tagging	tagging	NOUN
cana-1857	57	13	in	in	ADP
cana-1857	57	14	sentiment	sentiment	NOUN
cana-1857	57	15	analysis	analysis	NOUN
cana-1857	57	16	,	,	PUNCT
cana-1857	57	17	it	it	PRON
cana-1857	57	18	is	be	AUX
cana-1857	57	19	limited	limit	VERB
cana-1857	57	20	by	by	ADP
cana-1857	57	21	its	its	PRON
cana-1857	57	22	narrow	narrow	ADJ
cana-1857	57	23	focus	focus	NOUN
cana-1857	57	24	on	on	ADP
cana-1857	57	25	only	only	ADV
cana-1857	57	26	one	one	NUM
cana-1857	57	27	machine	machine	NOUN
cana-1857	57	28	learning	learning	NOUN
cana-1857	57	29	algorithm	algorithm	NOUN
cana-1857	57	30	.	.	PUNCT
cana-1857	58	1	this	this	DET
cana-1857	58	2	limitation	limitation	NOUN
cana-1857	58	3	restricts	restrict	VERB
cana-1857	58	4	the	the	DET
cana-1857	58	5	generalizability	generalizability	NOUN
cana-1857	58	6	of	of	ADP
cana-1857	58	7	the	the	DET
cana-1857	58	8	findings	finding	NOUN
cana-1857	58	9	and	and	CCONJ
cana-1857	58	10	leaves	leave	NOUN
cana-1857	58	11	room	room	NOUN
cana-1857	58	12	for	for	ADP
cana-1857	58	13	future	future	ADJ
cana-1857	58	14	research	research	NOUN
cana-1857	58	15	to	to	PART
cana-1857	58	16	explore	explore	VERB
cana-1857	58	17	the	the	DET
cana-1857	58	18	efficacy	efficacy	NOUN
cana-1857	58	19	of	of	ADP
cana-1857	58	20	other	other	ADJ
cana-1857	58	21	algorithms	algorithm	NOUN
cana-1857	58	22	in	in	ADP
cana-1857	58	23	similar	similar	ADJ
cana-1857	58	24	settings	setting	NOUN
cana-1857	58	25	.	.	PUNCT
cana-1857	59	1	aytug	aytug	PROPN
cana-1857	59	2	onan	onan	PROPN
cana-1857	59	3	et	et	PROPN
cana-1857	59	4	al	al	PROPN
cana-1857	59	5	(	(	PUNCT
cana-1857	59	6	11	11	NUM
cana-1857	59	7	)	)	PUNCT
cana-1857	59	8	employed	employ	VERB
cana-1857	59	9	a	a	DET
cana-1857	59	10	range	range	NOUN
cana-1857	59	11	of	of	ADP
cana-1857	59	12	machine	machine	NOUN
cana-1857	59	13	learning	learn	VERB
cana-1857	59	14	algorithms	algorithm	NOUN
cana-1857	59	15	including	include	VERB
cana-1857	59	16	convolutional	convolutional	ADJ
cana-1857	59	17	neural	neural	ADJ
cana-1857	59	18	networks	network	NOUN
cana-1857	59	19	(	(	PUNCT
cana-1857	59	20	cnn	cnn	PROPN
cana-1857	59	21	)	)	PUNCT
cana-1857	59	22	,	,	PUNCT
cana-1857	59	23	recurrent	recurrent	ADJ
cana-1857	59	24	neural	neural	ADJ
cana-1857	59	25	networks	network	NOUN
cana-1857	59	26	(	(	PUNCT
cana-1857	59	27	rnn	rnn	PROPN
cana-1857	59	28	)	)	PUNCT
cana-1857	59	29	,	,	PUNCT
cana-1857	59	30	bi	bi	ADJ
cana-1857	59	31	-	-	ADJ
cana-1857	59	32	directional	directional	ADJ
cana-1857	59	33	rnn	rnn	NOUN
cana-1857	59	34	,	,	PUNCT
cana-1857	59	35	gated	gate	VERB
cana-1857	59	36	recurrent	recurrent	ADJ
cana-1857	59	37	units	unit	NOUN
cana-1857	59	38	(	(	PUNCT
cana-1857	59	39	gru	gru	NOUN
cana-1857	59	40	)	)	PUNCT
cana-1857	59	41	,	,	PUNCT
cana-1857	59	42	and	and	CCONJ
cana-1857	59	43	lstm	lstm	ADJ
cana-1857	59	44	.	.	PUNCT
cana-1857	60	1	it	it	PRON
cana-1857	60	2	reports	report	VERB
cana-1857	60	3	the	the	DET
cana-1857	60	4	highest	high	ADJ
cana-1857	60	5	accuracy	accuracy	NOUN
cana-1857	60	6	of	of	ADP
cana-1857	60	7	95.80	95.80	NUM
cana-1857	60	8	%	%	NOUN
cana-1857	60	9	using	use	VERB
cana-1857	60	10	lstm	lstm	NOUN
cana-1857	60	11	in	in	ADP
cana-1857	60	12	conjunction	conjunction	NOUN
cana-1857	60	13	with	with	ADP
cana-1857	60	14	glove	glove	NOUN
cana-1857	60	15	embeddings	embedding	NOUN
cana-1857	60	16	.	.	PUNCT
cana-1857	61	1	however	however	ADV
cana-1857	61	2	,	,	PUNCT
cana-1857	61	3	the	the	DET
cana-1857	61	4	paper	paper	NOUN
cana-1857	61	5	falls	fall	VERB
cana-1857	61	6	short	short	ADV
cana-1857	61	7	in	in	ADP
cana-1857	61	8	discussing	discuss	VERB
cana-1857	61	9	the	the	DET
cana-1857	61	10	computational	computational	ADJ
cana-1857	61	11	resources	resource	NOUN
cana-1857	61	12	required	require	VERB
cana-1857	61	13	for	for	ADP
cana-1857	61	14	implementing	implement	VERB
cana-1857	61	15	these	these	DET
cana-1857	61	16	deep	deep	ADJ
cana-1857	61	17	learning	learning	NOUN
cana-1857	61	18	models	model	NOUN
cana-1857	61	19	.	.	PUNCT
cana-1857	62	1	this	this	PRON
cana-1857	62	2	is	be	AUX
cana-1857	62	3	a	a	DET
cana-1857	62	4	significant	significant	ADJ
cana-1857	62	5	gap	gap	NOUN
cana-1857	62	6	,	,	PUNCT
cana-1857	62	7	given	give	VERB
cana-1857	62	8	that	that	SCONJ
cana-1857	62	9	educational	educational	ADJ
cana-1857	62	10	institutions	institution	NOUN
cana-1857	62	11	may	may	AUX
cana-1857	62	12	not	not	PART
cana-1857	62	13	always	always	ADV
cana-1857	62	14	have	have	AUX
cana-1857	62	15	access	access	NOUN
cana-1857	62	16	to	to	ADP
cana-1857	62	17	the	the	DET
cana-1857	62	18	highperformance	highperformance	NOUN
cana-1857	62	19	computing	computing	NOUN
cana-1857	62	20	resources	resource	NOUN
cana-1857	62	21	required	require	VERB
cana-1857	62	22	for	for	ADP
cana-1857	62	23	such	such	ADJ
cana-1857	62	24	models	model	NOUN
cana-1857	62	25	.	.	PUNCT
cana-1857	63	1	rdouan	rdouan	PROPN
cana-1857	63	2	faizi	faizi	PROPN
cana-1857	63	3	et	et	PROPN
cana-1857	63	4	al	al	PROPN
cana-1857	63	5	(	(	PUNCT
cana-1857	63	6	12	12	NUM
cana-1857	63	7	)	)	PUNCT
cana-1857	63	8	employed	employ	VERB
cana-1857	63	9	vader	vader	NOUN
cana-1857	63	10	and	and	CCONJ
cana-1857	63	11	an	an	DET
cana-1857	63	12	educational	educational	ADJ
cana-1857	63	13	sentiment	sentiment	NOUN
cana-1857	63	14	lexicon	lexicon	VERB
cana-1857	63	15	to	to	PART
cana-1857	63	16	improve	improve	VERB
cana-1857	63	17	the	the	DET
cana-1857	63	18	accuracy	accuracy	NOUN
cana-1857	63	19	to	to	ADP
cana-1857	63	20	86.45	86.45	NUM
cana-1857	63	21	%	%	NOUN
cana-1857	63	22	.	.	PUNCT
cana-1857	64	1	while	while	SCONJ
cana-1857	64	2	the	the	DET
cana-1857	64	3	study	study	NOUN
cana-1857	64	4	provides	provide	VERB
cana-1857	64	5	valuable	valuable	ADJ
cana-1857	64	6	insights	insight	NOUN
cana-1857	64	7	into	into	ADP
cana-1857	64	8	the	the	DET
cana-1857	64	9	utility	utility	NOUN
cana-1857	64	10	of	of	ADP
cana-1857	64	11	domainspecific	domainspecific	NOUN
cana-1857	64	12	lexicons	lexicon	NOUN
cana-1857	64	13	,	,	PUNCT
cana-1857	64	14	it	it	PRON
cana-1857	64	15	lacks	lack	VERB
cana-1857	64	16	a	a	DET
cana-1857	64	17	comparative	comparative	ADJ
cana-1857	64	18	analysis	analysis	NOUN
cana-1857	64	19	with	with	ADP
cana-1857	64	20	other	other	ADJ
cana-1857	64	21	machine	machine	NOUN
cana-1857	64	22	learning	learn	VERB
cana-1857	64	23	algorithms	algorithm	NOUN
cana-1857	64	24	.	.	PUNCT
cana-1857	65	1	this	this	DET
cana-1857	65	2	omission	omission	NOUN
cana-1857	65	3	limits	limit	VERB
cana-1857	65	4	the	the	DET
cana-1857	65	5	study	study	NOUN
cana-1857	65	6	’s	’s	PART
cana-1857	65	7	contribution	contribution	NOUN
cana-1857	65	8	to	to	ADP
cana-1857	65	9	the	the	DET
cana-1857	65	10	broader	broad	ADJ
cana-1857	65	11	field	field	NOUN
cana-1857	65	12	of	of	ADP
cana-1857	65	13	sentiment	sentiment	NOUN
cana-1857	65	14	analysis	analysis	NOUN
cana-1857	65	15	in	in	ADP
cana-1857	65	16	educational	educational	ADJ
cana-1857	65	17	settings	setting	NOUN
cana-1857	65	18	.	.	PUNCT
cana-1857	66	1	muhammad	muhammad	PROPN
cana-1857	66	2	umair	umair	PROPN
cana-1857	66	3	and	and	CCONJ
cana-1857	66	4	team	team	NOUN
cana-1857	66	5	(	(	PUNCT
cana-1857	66	6	13	13	NUM
cana-1857	66	7	)	)	PUNCT
cana-1857	66	8	employed	employ	VERB
cana-1857	66	9	a	a	DET
cana-1857	66	10	range	range	NOUN
cana-1857	66	11	of	of	ADP
cana-1857	66	12	algorithms	algorithm	NOUN
cana-1857	66	13	such	such	ADJ
cana-1857	66	14	as	as	ADP
cana-1857	66	15	support	support	NOUN
cana-1857	66	16	vector	vector	NOUN
cana-1857	66	17	machine	machine	NOUN
cana-1857	66	18	,	,	PUNCT
cana-1857	66	19	na¨ıve	na¨ıve	PROPN
cana-1857	66	20	bayes	bayes	PROPN
cana-1857	66	21	,	,	PUNCT
cana-1857	66	22	textblob	textblob	NOUN
cana-1857	66	23	,	,	PUNCT
cana-1857	66	24	vader	vader	NOUN
cana-1857	66	25	,	,	PUNCT
cana-1857	66	26	and	and	CCONJ
cana-1857	66	27	nltk	nltk	PROPN
cana-1857	66	28	,	,	PUNCT
cana-1857	66	29	and	and	CCONJ
cana-1857	66	30	they	they	PRON
cana-1857	66	31	reported	report	VERB
cana-1857	66	32	an	an	DET
cana-1857	66	33	average	average	ADJ
cana-1857	66	34	accuracy	accuracy	NOUN
cana-1857	66	35	rate	rate	NOUN
cana-1857	66	36	of	of	ADP
cana-1857	66	37	85.62	85.62	NUM
cana-1857	66	38	%	%	NOUN
cana-1857	66	39	when	when	SCONJ
cana-1857	66	40	using	use	VERB
cana-1857	66	41	svm	svm	NOUN
cana-1857	66	42	with	with	ADP
cana-1857	66	43	k	k	ADJ
cana-1857	66	44	-	-	ADJ
cana-1857	66	45	fold	fold	ADJ
cana-1857	66	46	cross	cross	NOUN
cana-1857	66	47	-	-	NOUN
cana-1857	66	48	validation	validation	NOUN
cana-1857	66	49	.	.	PUNCT
cana-1857	67	1	although	although	SCONJ
cana-1857	67	2	the	the	DET
cana-1857	67	3	study	study	NOUN
cana-1857	67	4	offers	offer	VERB
cana-1857	67	5	an	an	DET
cana-1857	67	6	extensive	extensive	ADJ
cana-1857	67	7	survey	survey	NOUN
cana-1857	67	8	of	of	ADP
cana-1857	67	9	multiple	multiple	ADJ
cana-1857	67	10	algorithms	algorithm	NOUN
cana-1857	67	11	,	,	PUNCT
cana-1857	67	12	it	it	PRON
cana-1857	67	13	neglects	neglect	VERB
cana-1857	67	14	to	to	PART
cana-1857	67	15	address	address	VERB
cana-1857	67	16	the	the	DET
cana-1857	67	17	limitations	limitation	NOUN
cana-1857	67	18	or	or	CCONJ
cana-1857	67	19	potential	potential	ADJ
cana-1857	67	20	biases	bias	NOUN
cana-1857	67	21	that	that	PRON
cana-1857	67	22	may	may	AUX
cana-1857	67	23	arise	arise	VERB
cana-1857	67	24	when	when	SCONJ
cana-1857	67	25	these	these	DET
cana-1857	67	26	algorithms	algorithm	NOUN
cana-1857	67	27	are	be	AUX
cana-1857	67	28	used	use	VERB
cana-1857	67	29	in	in	ADP
cana-1857	67	30	the	the	DET
cana-1857	67	31	context	context	NOUN
cana-1857	67	32	of	of	ADP
cana-1857	67	33	educational	educational	ADJ
cana-1857	67	34	feedback	feedback	NOUN
cana-1857	67	35	.	.	PUNCT
cana-1857	68	1	this	this	DET
cana-1857	68	2	omission	omission	NOUN
cana-1857	68	3	is	be	AUX
cana-1857	68	4	noteworthy	noteworthy	ADJ
cana-1857	68	5	,	,	PUNCT
cana-1857	68	6	as	as	SCONJ
cana-1857	68	7	generic	generic	ADJ
cana-1857	68	8	algorithms	algorithm	NOUN
cana-1857	68	9	may	may	AUX
cana-1857	68	10	not	not	PART
cana-1857	68	11	fully	fully	ADV
cana-1857	68	12	grasp	grasp	VERB
cana-1857	68	13	the	the	DET
cana-1857	68	14	intricacies	intricacy	NOUN
cana-1857	68	15	and	and	CCONJ
cana-1857	68	16	subtleties	subtlety	NOUN
cana-1857	68	17	of	of	ADP
cana-1857	68	18	student	student	NOUN
cana-1857	68	19	feedback	feedback	NOUN
cana-1857	68	20	,	,	PUNCT
cana-1857	68	21	which	which	PRON
cana-1857	68	22	could	could	AUX
cana-1857	68	23	impact	impact	VERB
cana-1857	68	24	the	the	DET
cana-1857	68	25	precision	precision	NOUN
cana-1857	68	26	of	of	ADP
cana-1857	68	27	sentiment	sentiment	NOUN
cana-1857	68	28	analysis	analysis	NOUN
cana-1857	68	29	.	.	PUNCT
cana-1857	69	1	communications	communication	NOUN
cana-1857	69	2	on	on	ADP
cana-1857	69	3	applied	apply	VERB
cana-1857	69	4	nonlinear	nonlinear	ADJ
cana-1857	69	5	analysis	analysis	NOUN
cana-1857	69	6	issn	issn	NOUN
cana-1857	69	7	:	:	PUNCT
cana-1857	69	8	1074	1074	NUM
cana-1857	69	9	-	-	PUNCT
cana-1857	69	10	133x	133x	NUM
cana-1857	69	11	vol	vol	NOUN
cana-1857	69	12	32	32	NUM
cana-1857	69	13	no	no	NOUN
cana-1857	69	14	.	.	NOUN
cana-1857	69	15	2	2	NUM
cana-1857	69	16	(	(	PUNCT
cana-1857	69	17	2025	2025	NUM
cana-1857	69	18	)	)	PUNCT
cana-1857	69	19	613	613	NUM
cana-1857	69	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1857	69	21	zenun	zenun	NOUN
cana-1857	69	22	kastrati	kastrati	NOUN
cana-1857	69	23	and	and	CCONJ
cana-1857	69	24	collaborators	collaborator	NOUN
cana-1857	69	25	(	(	PUNCT
cana-1857	69	26	14	14	NUM
cana-1857	69	27	)	)	PUNCT
cana-1857	69	28	made	make	VERB
cana-1857	69	29	use	use	NOUN
cana-1857	69	30	of	of	ADP
cana-1857	69	31	convolutional	convolutional	ADJ
cana-1857	69	32	neural	neural	ADJ
cana-1857	69	33	networks	network	NOUN
cana-1857	69	34	(	(	PUNCT
cana-1857	69	35	cnn	cnn	PROPN
cana-1857	69	36	)	)	PUNCT
cana-1857	69	37	and	and	CCONJ
cana-1857	69	38	long	long	ADJ
cana-1857	69	39	short	short	ADJ
cana-1857	69	40	-	-	PUNCT
cana-1857	69	41	term	term	NOUN
cana-1857	69	42	memory	memory	NOUN
cana-1857	69	43	(	(	PUNCT
cana-1857	69	44	lstm	lstm	NOUN
cana-1857	69	45	)	)	PUNCT
cana-1857	69	46	networks	network	NOUN
cana-1857	69	47	.	.	PUNCT
cana-1857	70	1	however	however	ADV
cana-1857	70	2	,	,	PUNCT
cana-1857	70	3	their	their	PRON
cana-1857	70	4	study	study	NOUN
cana-1857	70	5	is	be	AUX
cana-1857	70	6	devoid	devoid	ADJ
cana-1857	70	7	of	of	ADP
cana-1857	70	8	quantitative	quantitative	ADJ
cana-1857	70	9	metrics	metric	NOUN
cana-1857	70	10	.	.	PUNCT
cana-1857	71	1	they	they	PRON
cana-1857	71	2	characterize	characterize	VERB
cana-1857	71	3	their	their	PRON
cana-1857	71	4	model	model	NOUN
cana-1857	71	5	’s	’s	PART
cana-1857	71	6	performance	performance	NOUN
cana-1857	71	7	as	as	ADP
cana-1857	71	8	”	"	PUNCT
cana-1857	71	9	inspiring	inspiring	ADJ
cana-1857	71	10	,	,	PUNCT
cana-1857	71	11	”	"	PUNCT
cana-1857	71	12	but	but	CCONJ
cana-1857	71	13	the	the	DET
cana-1857	71	14	lack	lack	NOUN
cana-1857	71	15	of	of	ADP
cana-1857	71	16	numerical	numerical	ADJ
cana-1857	71	17	data	data	PROPN
cana-1857	71	18	hampers	hamper	VERB
cana-1857	71	19	the	the	DET
cana-1857	71	20	ability	ability	NOUN
cana-1857	71	21	to	to	PART
cana-1857	71	22	assess	assess	VERB
cana-1857	71	23	the	the	DET
cana-1857	71	24	efficacy	efficacy	NOUN
cana-1857	71	25	of	of	ADP
cana-1857	71	26	their	their	PRON
cana-1857	71	27	methodology	methodology	NOUN
cana-1857	71	28	.	.	PUNCT
cana-1857	72	1	this	this	PRON
cana-1857	72	2	creates	create	VERB
cana-1857	72	3	a	a	DET
cana-1857	72	4	void	void	NOUN
cana-1857	72	5	in	in	ADP
cana-1857	72	6	research	research	NOUN
cana-1857	72	7	that	that	PRON
cana-1857	72	8	could	could	AUX
cana-1857	72	9	be	be	AUX
cana-1857	72	10	filled	fill	VERB
cana-1857	72	11	by	by	ADP
cana-1857	72	12	future	future	ADJ
cana-1857	72	13	studies	study	NOUN
cana-1857	72	14	offering	offer	VERB
cana-1857	72	15	empirical	empirical	ADJ
cana-1857	72	16	data	datum	NOUN
cana-1857	72	17	.	.	PUNCT
cana-1857	73	1	in	in	ADP
cana-1857	73	2	a	a	DET
cana-1857	73	3	similar	similar	ADJ
cana-1857	73	4	vein	vein	NOUN
cana-1857	73	5	,	,	PUNCT
cana-1857	73	6	pansy	pansy	NOUN
cana-1857	73	7	nandwani	nandwani	NOUN
cana-1857	73	8	and	and	CCONJ
cana-1857	73	9	associates	associate	NOUN
cana-1857	73	10	(	(	PUNCT
cana-1857	73	11	15	15	NUM
cana-1857	73	12	)	)	PUNCT
cana-1857	73	13	present	present	VERB
cana-1857	73	14	an	an	DET
cana-1857	73	15	overview	overview	NOUN
cana-1857	73	16	of	of	ADP
cana-1857	73	17	multiple	multiple	ADJ
cana-1857	73	18	techniques	technique	NOUN
cana-1857	73	19	but	but	CCONJ
cana-1857	73	20	do	do	AUX
cana-1857	73	21	not	not	PART
cana-1857	73	22	go	go	VERB
cana-1857	73	23	the	the	DET
cana-1857	73	24	extra	extra	ADJ
cana-1857	73	25	mile	mile	NOUN
cana-1857	73	26	to	to	PART
cana-1857	73	27	offer	offer	VERB
cana-1857	73	28	a	a	DET
cana-1857	73	29	side	side	NOUN
cana-1857	73	30	-	-	PUNCT
cana-1857	73	31	by	by	ADP
cana-1857	73	32	-	-	PUNCT
cana-1857	73	33	side	side	NOUN
cana-1857	73	34	comparison	comparison	NOUN
cana-1857	73	35	.	.	PUNCT
cana-1857	74	1	while	while	SCONJ
cana-1857	74	2	their	their	PRON
cana-1857	74	3	paper	paper	NOUN
cana-1857	74	4	serves	serve	VERB
cana-1857	74	5	as	as	ADP
cana-1857	74	6	an	an	DET
cana-1857	74	7	overview	overview	NOUN
cana-1857	74	8	,	,	PUNCT
cana-1857	74	9	it	it	PRON
cana-1857	74	10	lacks	lack	VERB
cana-1857	74	11	the	the	DET
cana-1857	74	12	critical	critical	ADJ
cana-1857	74	13	analysis	analysis	NOUN
cana-1857	74	14	that	that	PRON
cana-1857	74	15	could	could	AUX
cana-1857	74	16	be	be	AUX
cana-1857	74	17	beneficial	beneficial	ADJ
cana-1857	74	18	for	for	ADP
cana-1857	74	19	researchers	researcher	NOUN
cana-1857	74	20	seeking	seek	VERB
cana-1857	74	21	empirical	empirical	ADJ
cana-1857	74	22	evidence	evidence	NOUN
cana-1857	74	23	on	on	ADP
cana-1857	74	24	the	the	DET
cana-1857	74	25	effectiveness	effectiveness	NOUN
cana-1857	74	26	of	of	ADP
cana-1857	74	27	different	different	ADJ
cana-1857	74	28	algorithms	algorithm	NOUN
cana-1857	74	29	.	.	PUNCT
cana-1857	75	1	this	this	DET
cana-1857	75	2	limitation	limitation	NOUN
cana-1857	75	3	restricts	restrict	VERB
cana-1857	75	4	the	the	DET
cana-1857	75	5	paper	paper	NOUN
cana-1857	75	6	’s	’s	PART
cana-1857	75	7	contribution	contribution	NOUN
cana-1857	75	8	to	to	ADP
cana-1857	75	9	the	the	DET
cana-1857	75	10	field	field	NOUN
cana-1857	75	11	and	and	CCONJ
cana-1857	75	12	calls	call	VERB
cana-1857	75	13	for	for	ADP
cana-1857	75	14	more	more	ADV
cana-1857	75	15	comprehensive	comprehensive	ADJ
cana-1857	75	16	comparative	comparative	ADJ
cana-1857	75	17	studies	study	NOUN
cana-1857	75	18	.	.	PUNCT
cana-1857	76	1	another	another	DET
cana-1857	76	2	work	work	NOUN
cana-1857	76	3	by	by	ADP
cana-1857	76	4	zenun	zenun	PROPN
cana-1857	76	5	kastrati	kastrati	PROPN
cana-1857	76	6	et	et	PROPN
cana-1857	76	7	al	al	PROPN
cana-1857	76	8	(	(	PUNCT
cana-1857	76	9	16	16	NUM
cana-1857	76	10	)	)	PUNCT
cana-1857	76	11	reviews	review	VERB
cana-1857	76	12	various	various	ADJ
cana-1857	76	13	techniques	technique	NOUN
cana-1857	76	14	and	and	CCONJ
cana-1857	76	15	provides	provide	VERB
cana-1857	76	16	an	an	DET
cana-1857	76	17	analysis	analysis	NOUN
cana-1857	76	18	of	of	ADP
cana-1857	76	19	educational	educational	ADJ
cana-1857	76	20	entities	entity	NOUN
cana-1857	76	21	,	,	PUNCT
cana-1857	76	22	research	research	NOUN
cana-1857	76	23	trends	trend	NOUN
cana-1857	76	24	,	,	PUNCT
cana-1857	76	25	and	and	CCONJ
cana-1857	76	26	methodologies	methodology	NOUN
cana-1857	76	27	.	.	PUNCT
cana-1857	77	1	however	however	ADV
cana-1857	77	2	,	,	PUNCT
cana-1857	77	3	the	the	DET
cana-1857	77	4	paper	paper	NOUN
cana-1857	77	5	lacks	lack	VERB
cana-1857	77	6	specific	specific	ADJ
cana-1857	77	7	recommendations	recommendation	NOUN
cana-1857	77	8	for	for	ADP
cana-1857	77	9	future	future	ADJ
cana-1857	77	10	research	research	NOUN
cana-1857	77	11	,	,	PUNCT
cana-1857	77	12	leaving	leave	VERB
cana-1857	77	13	a	a	DET
cana-1857	77	14	significant	significant	ADJ
cana-1857	77	15	gap	gap	NOUN
cana-1857	77	16	in	in	ADP
cana-1857	77	17	the	the	DET
cana-1857	77	18	literature	literature	NOUN
cana-1857	77	19	.	.	PUNCT
cana-1857	78	1	the	the	DET
cana-1857	78	2	absence	absence	NOUN
cana-1857	78	3	of	of	ADP
cana-1857	78	4	actionable	actionable	ADJ
cana-1857	78	5	insights	insight	NOUN
cana-1857	78	6	limits	limit	VERB
cana-1857	78	7	the	the	DET
cana-1857	78	8	paper	paper	NOUN
cana-1857	78	9	’s	’s	PART
cana-1857	78	10	utility	utility	NOUN
cana-1857	78	11	for	for	ADP
cana-1857	78	12	researchers	researcher	NOUN
cana-1857	78	13	aiming	aim	VERB
cana-1857	78	14	to	to	PART
cana-1857	78	15	build	build	VERB
cana-1857	78	16	upon	upon	SCONJ
cana-1857	78	17	existing	exist	VERB
cana-1857	78	18	work	work	NOUN
cana-1857	78	19	.	.	PUNCT
cana-1857	79	1	a.	a.	NOUN
cana-1857	79	2	limitations	limitation	NOUN
cana-1857	79	3	in	in	ADP
cana-1857	79	4	existing	exist	VERB
cana-1857	79	5	literature	literature	NOUN
cana-1857	79	6	a	a	DET
cana-1857	79	7	common	common	ADJ
cana-1857	79	8	thread	thread	NOUN
cana-1857	79	9	running	run	VERB
cana-1857	79	10	through	through	ADP
cana-1857	79	11	the	the	DET
cana-1857	79	12	reviewed	review	VERB
cana-1857	79	13	literature	literature	NOUN
cana-1857	79	14	is	be	AUX
cana-1857	79	15	the	the	DET
cana-1857	79	16	lack	lack	NOUN
cana-1857	79	17	of	of	ADP
cana-1857	79	18	comprehensive	comprehensive	ADJ
cana-1857	79	19	comparative	comparative	ADJ
cana-1857	79	20	studies	study	NOUN
cana-1857	79	21	that	that	PRON
cana-1857	79	22	evaluate	evaluate	VERB
cana-1857	79	23	the	the	DET
cana-1857	79	24	performance	performance	NOUN
cana-1857	79	25	of	of	ADP
cana-1857	79	26	different	different	ADJ
cana-1857	79	27	algorithms	algorithm	NOUN
cana-1857	79	28	and	and	CCONJ
cana-1857	79	29	lexicons	lexicon	NOUN
cana-1857	79	30	in	in	ADP
cana-1857	79	31	educational	educational	ADJ
cana-1857	79	32	settings	setting	NOUN
cana-1857	79	33	.	.	PUNCT
cana-1857	80	1	this	this	PRON
cana-1857	80	2	is	be	AUX
cana-1857	80	3	a	a	DET
cana-1857	80	4	significant	significant	ADJ
cana-1857	80	5	gap	gap	NOUN
cana-1857	80	6	,	,	PUNCT
cana-1857	80	7	as	as	SCONJ
cana-1857	80	8	comparative	comparative	ADJ
cana-1857	80	9	analyses	analysis	NOUN
cana-1857	80	10	are	be	AUX
cana-1857	80	11	crucial	crucial	ADJ
cana-1857	80	12	for	for	ADP
cana-1857	80	13	understanding	understand	VERB
cana-1857	80	14	the	the	DET
cana-1857	80	15	relative	relative	ADJ
cana-1857	80	16	strengths	strength	NOUN
cana-1857	80	17	and	and	CCONJ
cana-1857	80	18	weaknesses	weakness	NOUN
cana-1857	80	19	of	of	ADP
cana-1857	80	20	various	various	ADJ
cana-1857	80	21	approaches	approach	NOUN
cana-1857	80	22	.	.	PUNCT
cana-1857	81	1	additionally	additionally	ADV
cana-1857	81	2	,	,	PUNCT
cana-1857	81	3	most	most	ADJ
cana-1857	81	4	papers	paper	NOUN
cana-1857	81	5	do	do	AUX
cana-1857	81	6	not	not	PART
cana-1857	81	7	discuss	discuss	VERB
cana-1857	81	8	the	the	DET
cana-1857	81	9	computational	computational	ADJ
cana-1857	81	10	costs	cost	NOUN
cana-1857	81	11	associated	associate	VERB
cana-1857	81	12	with	with	ADP
cana-1857	81	13	their	their	PRON
cana-1857	81	14	proposed	propose	VERB
cana-1857	81	15	models	model	NOUN
cana-1857	81	16	.	.	PUNCT
cana-1857	82	1	this	this	PRON
cana-1857	82	2	is	be	AUX
cana-1857	82	3	a	a	DET
cana-1857	82	4	critical	critical	ADJ
cana-1857	82	5	oversight	oversight	NOUN
cana-1857	82	6	,	,	PUNCT
cana-1857	82	7	especially	especially	ADV
cana-1857	82	8	for	for	ADP
cana-1857	82	9	real	real	ADJ
cana-1857	82	10	-	-	PUNCT
cana-1857	82	11	time	time	NOUN
cana-1857	82	12	applications	application	NOUN
cana-1857	82	13	where	where	SCONJ
cana-1857	82	14	computational	computational	ADJ
cana-1857	82	15	efficiency	efficiency	NOUN
cana-1857	82	16	is	be	AUX
cana-1857	82	17	paramount	paramount	ADJ
cana-1857	82	18	.	.	PUNCT
cana-1857	83	1	another	another	DET
cana-1857	83	2	recurring	recur	VERB
cana-1857	83	3	issue	issue	NOUN
cana-1857	83	4	is	be	AUX
cana-1857	83	5	the	the	DET
cana-1857	83	6	absence	absence	NOUN
cana-1857	83	7	of	of	ADP
cana-1857	83	8	specific	specific	ADJ
cana-1857	83	9	numerical	numerical	ADJ
cana-1857	83	10	results	result	NOUN
cana-1857	83	11	in	in	ADP
cana-1857	83	12	some	some	DET
cana-1857	83	13	studies	study	NOUN
cana-1857	83	14	,	,	PUNCT
cana-1857	83	15	which	which	PRON
cana-1857	83	16	hampers	hamper	VERB
cana-1857	83	17	the	the	DET
cana-1857	83	18	ability	ability	NOUN
cana-1857	83	19	to	to	PART
cana-1857	83	20	assess	assess	VERB
cana-1857	83	21	their	their	PRON
cana-1857	83	22	efficacy	efficacy	NOUN
cana-1857	83	23	.	.	PUNCT
cana-1857	84	1	3	3	X
cana-1857	84	2	.	.	X
cana-1857	84	3	methodology	methodology	NOUN
cana-1857	84	4	in	in	ADP
cana-1857	84	5	our	our	PRON
cana-1857	84	6	methodology	methodology	NOUN
cana-1857	84	7	,	,	PUNCT
cana-1857	84	8	we	we	PRON
cana-1857	84	9	utilize	utilize	VERB
cana-1857	84	10	tensorflow	tensorflow	NOUN
cana-1857	84	11	to	to	PART
cana-1857	84	12	implement	implement	VERB
cana-1857	84	13	a	a	DET
cana-1857	84	14	meta	meta	ADJ
cana-1857	84	15	-	-	PUNCT
cana-1857	84	16	classifier	classifier	NOUN
cana-1857	84	17	that	that	PRON
cana-1857	84	18	combines	combine	VERB
cana-1857	84	19	lexiconbased	lexiconbase	VERB
cana-1857	84	20	and	and	CCONJ
cana-1857	84	21	bert	bert	NOUN
cana-1857	84	22	-	-	PUNCT
cana-1857	84	23	based	base	VERB
cana-1857	84	24	models	model	NOUN
cana-1857	84	25	through	through	ADP
cana-1857	84	26	a	a	DET
cana-1857	84	27	gradient	gradient	ADJ
cana-1857	84	28	boosting	boost	VERB
cana-1857	84	29	machine	machine	NOUN
cana-1857	84	30	(	(	PUNCT
cana-1857	84	31	gbm	gbm	PROPN
cana-1857	84	32	)	)	PUNCT
cana-1857	84	33	,	,	PUNCT
cana-1857	84	34	optimized	optimize	VERB
cana-1857	84	35	for	for	ADP
cana-1857	84	36	imbalanced	imbalanced	ADJ
cana-1857	84	37	datasets	dataset	NOUN
cana-1857	84	38	.	.	PUNCT
cana-1857	85	1	wordpiece	wordpiece	PROPN
cana-1857	85	2	tokenization	tokenization	NOUN
cana-1857	85	3	,	,	PUNCT
cana-1857	85	4	special	special	ADJ
cana-1857	85	5	tokens	token	NOUN
cana-1857	85	6	,	,	PUNCT
cana-1857	85	7	and	and	CCONJ
cana-1857	85	8	fine	fine	ADV
cana-1857	85	9	-	-	PUNCT
cana-1857	85	10	tuning	tuning	NOUN
cana-1857	85	11	of	of	ADP
cana-1857	85	12	the	the	DET
cana-1857	85	13	bert	bert	NOUN
cana-1857	85	14	-	-	PUNCT
cana-1857	85	15	base	base	NOUN
cana-1857	85	16	model	model	NOUN
cana-1857	85	17	are	be	AUX
cana-1857	85	18	executed	execute	VERB
cana-1857	85	19	within	within	ADP
cana-1857	85	20	the	the	DET
cana-1857	85	21	tensorflow	tensorflow	NOUN
cana-1857	85	22	framework	framework	NOUN
cana-1857	85	23	.	.	PUNCT
cana-1857	86	1	we	we	PRON
cana-1857	86	2	apply	apply	VERB
cana-1857	86	3	rigorous	rigorous	ADJ
cana-1857	86	4	5	5	NUM
cana-1857	86	5	-	-	ADJ
cana-1857	86	6	fold	fold	ADJ
cana-1857	86	7	cross	cross	NOUN
cana-1857	86	8	-	-	NOUN
cana-1857	86	9	validation	validation	NOUN
cana-1857	86	10	for	for	ADP
cana-1857	86	11	model	model	NOUN
cana-1857	86	12	validation	validation	NOUN
cana-1857	86	13	,	,	PUNCT
cana-1857	86	14	calculated	calculate	VERB
cana-1857	86	15	through	through	ADP
cana-1857	86	16	tensorflow	tensorflow	NOUN
cana-1857	86	17	-	-	PUNCT
cana-1857	86	18	enabled	enable	VERB
cana-1857	86	19	custom	custom	NOUN
cana-1857	86	20	metrics	metric	NOUN
cana-1857	86	21	like	like	ADP
cana-1857	86	22	accuracy	accuracy	NOUN
cana-1857	86	23	,	,	PUNCT
cana-1857	86	24	f1	f1	NOUN
cana-1857	86	25	-	-	PUNCT
cana-1857	86	26	score	score	NOUN
cana-1857	86	27	,	,	PUNCT
cana-1857	86	28	and	and	CCONJ
cana-1857	86	29	auc	auc	NOUN
cana-1857	86	30	-	-	PUNCT
cana-1857	86	31	roc	roc	NOUN
cana-1857	86	32	.	.	PUNCT
cana-1857	87	1	this	this	DET
cana-1857	87	2	tensorflow	tensorflow	NOUN
cana-1857	87	3	-	-	PUNCT
cana-1857	87	4	backed	back	VERB
cana-1857	87	5	methodology	methodology	NOUN
cana-1857	87	6	sets	set	VERB
cana-1857	87	7	new	new	ADJ
cana-1857	87	8	standards	standard	NOUN
cana-1857	87	9	in	in	ADP
cana-1857	87	10	educational	educational	ADJ
cana-1857	87	11	sentiment	sentiment	NOUN
cana-1857	87	12	analysis	analysis	NOUN
cana-1857	87	13	and	and	CCONJ
cana-1857	87	14	is	be	AUX
cana-1857	87	15	quantitatively	quantitatively	ADV
cana-1857	87	16	described	describe	VERB
cana-1857	87	17	for	for	ADP
cana-1857	87	18	clarity	clarity	NOUN
cana-1857	87	19	.	.	PUNCT
cana-1857	88	1	a.	a.	NOUN
cana-1857	88	2	data	data	PROPN
cana-1857	88	3	collection	collection	NOUN
cana-1857	88	4	the	the	DET
cana-1857	88	5	efficacy	efficacy	NOUN
cana-1857	88	6	of	of	ADP
cana-1857	88	7	any	any	DET
cana-1857	88	8	sentiment	sentiment	NOUN
cana-1857	88	9	analysis	analysis	NOUN
cana-1857	88	10	research	research	NOUN
cana-1857	88	11	is	be	AUX
cana-1857	88	12	intrinsically	intrinsically	ADV
cana-1857	88	13	tied	tie	VERB
cana-1857	88	14	to	to	ADP
cana-1857	88	15	the	the	DET
cana-1857	88	16	quality	quality	NOUN
cana-1857	88	17	and	and	CCONJ
cana-1857	88	18	represen	represen	ADJ
cana-1857	88	19	tativeness	tativeness	NOUN
cana-1857	88	20	of	of	ADP
cana-1857	88	21	the	the	DET
cana-1857	88	22	data	datum	NOUN
cana-1857	88	23	it	it	PRON
cana-1857	88	24	employs	employ	VERB
cana-1857	88	25	.	.	PUNCT
cana-1857	89	1	in	in	ADP
cana-1857	89	2	this	this	DET
cana-1857	89	3	study	study	NOUN
cana-1857	89	4	,	,	PUNCT
cana-1857	89	5	we	we	PRON
cana-1857	89	6	place	place	VERB
cana-1857	89	7	paramount	paramount	ADJ
cana-1857	89	8	importance	importance	NOUN
cana-1857	89	9	on	on	ADP
cana-1857	89	10	the	the	DET
cana-1857	89	11	meticulous	meticulous	ADJ
cana-1857	89	12	collection	collection	NOUN
cana-1857	89	13	of	of	ADP
cana-1857	89	14	spoken	spoken	ADJ
cana-1857	89	15	feedback	feedback	NOUN
cana-1857	89	16	,	,	PUNCT
cana-1857	89	17	which	which	PRON
cana-1857	89	18	serves	serve	VERB
cana-1857	89	19	as	as	ADP
cana-1857	89	20	the	the	DET
cana-1857	89	21	bedrock	bedrock	NOUN
cana-1857	89	22	for	for	ADP
cana-1857	89	23	our	our	PRON
cana-1857	89	24	advanced	advanced	ADJ
cana-1857	89	25	sentiment	sentiment	NOUN
cana-1857	89	26	analysis	analysis	NOUN
cana-1857	89	27	pipeline	pipeline	NOUN
cana-1857	89	28	(	(	PUNCT
cana-1857	89	29	17	17	NUM
cana-1857	89	30	)	)	PUNCT
cana-1857	89	31	.	.	PUNCT
cana-1857	90	1	this	this	DET
cana-1857	90	2	section	section	NOUN
cana-1857	90	3	elaborates	elaborate	VERB
cana-1857	90	4	on	on	ADP
cana-1857	90	5	the	the	DET
cana-1857	90	6	rigorous	rigorous	ADJ
cana-1857	90	7	protocols	protocol	NOUN
cana-1857	90	8	,	,	PUNCT
cana-1857	90	9	technical	technical	ADJ
cana-1857	90	10	specifications	specification	NOUN
cana-1857	90	11	,	,	PUNCT
cana-1857	90	12	and	and	CCONJ
cana-1857	90	13	ethical	ethical	ADJ
cana-1857	90	14	considerations	consideration	NOUN
cana-1857	90	15	that	that	PRON
cana-1857	90	16	guide	guide	VERB
cana-1857	90	17	our	our	PRON
cana-1857	90	18	data	data	NOUN
cana-1857	90	19	collection	collection	NOUN
cana-1857	90	20	process	process	NOUN
cana-1857	90	21	.	.	PUNCT
cana-1857	91	1	1	1	X
cana-1857	91	2	)	)	PUNCT
cana-1857	91	3	spoken	speak	VERB
cana-1857	91	4	feedback	feedback	NOUN
cana-1857	91	5	:	:	PUNCT
cana-1857	91	6	the	the	DET
cana-1857	91	7	dataset	dataset	NOUN
cana-1857	91	8	for	for	ADP
cana-1857	91	9	this	this	DET
cana-1857	91	10	research	research	NOUN
cana-1857	91	11	is	be	AUX
cana-1857	91	12	meticulously	meticulously	ADV
cana-1857	91	13	curated	curate	VERB
cana-1857	91	14	to	to	PART
cana-1857	91	15	be	be	AUX
cana-1857	91	16	both	both	PRON
cana-1857	91	17	compre	compre	NOUN
cana-1857	91	18	hensive	hensive	ADJ
cana-1857	91	19	and	and	CCONJ
cana-1857	91	20	representative	representative	NOUN
cana-1857	91	21	of	of	ADP
cana-1857	91	22	the	the	DET
cana-1857	91	23	student	student	NOUN
cana-1857	91	24	body	body	NOUN
cana-1857	91	25	’s	’s	PART
cana-1857	91	26	diverse	diverse	ADJ
cana-1857	91	27	opinions	opinion	NOUN
cana-1857	91	28	on	on	ADP
cana-1857	91	29	faculty	faculty	NOUN
cana-1857	91	30	performance	performance	NOUN
cana-1857	91	31	(	(	PUNCT
cana-1857	91	32	18	18	NUM
cana-1857	91	33	)	)	PUNCT
cana-1857	91	34	.	.	PUNCT
cana-1857	92	1	spoken	speak	VERB
cana-1857	92	2	feedback	feedback	NOUN
cana-1857	92	3	is	be	AUX
cana-1857	92	4	aggregated	aggregate	VERB
cana-1857	92	5	from	from	ADP
cana-1857	92	6	multiple	multiple	ADJ
cana-1857	92	7	sources	source	NOUN
cana-1857	92	8	to	to	PART
cana-1857	92	9	ensure	ensure	VERB
cana-1857	92	10	a	a	DET
cana-1857	92	11	multi	multi	ADJ
cana-1857	92	12	-	-	ADJ
cana-1857	92	13	faceted	faceted	ADJ
cana-1857	92	14	view	view	NOUN
cana-1857	92	15	.	.	PUNCT
cana-1857	93	1	real	real	ADJ
cana-1857	93	2	-	-	PUNCT
cana-1857	93	3	time	time	NOUN
cana-1857	93	4	classroom	classroom	NOUN
cana-1857	93	5	communications	communication	NOUN
cana-1857	93	6	on	on	ADP
cana-1857	93	7	applied	apply	VERB
cana-1857	93	8	nonlinear	nonlinear	ADJ
cana-1857	93	9	analysis	analysis	NOUN
cana-1857	93	10	issn	issn	NOUN
cana-1857	93	11	:	:	PUNCT
cana-1857	93	12	1074	1074	NUM
cana-1857	93	13	-	-	PUNCT
cana-1857	93	14	133x	133x	NUM
cana-1857	93	15	vol	vol	NOUN
cana-1857	93	16	32	32	NUM
cana-1857	93	17	no	no	NOUN
cana-1857	93	18	.	.	NOUN
cana-1857	93	19	2	2	NUM
cana-1857	93	20	(	(	PUNCT
cana-1857	93	21	2025	2025	NUM
cana-1857	93	22	)	)	PUNCT
cana-1857	94	1	614	614	NUM
cana-1857	94	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1857	94	3	3	3	NUM
cana-1857	94	4	n	n	ADP
cana-1857	94	5	n	n	PRON
cana-1857	94	6	n	n	PRON
cana-1857	94	7	feedback	feedback	NOUN
cana-1857	94	8	is	be	AUX
cana-1857	94	9	captured	capture	VERB
cana-1857	94	10	during	during	ADP
cana-1857	94	11	interactive	interactive	ADJ
cana-1857	94	12	educational	educational	ADJ
cana-1857	94	13	sessions	session	NOUN
cana-1857	94	14	,	,	PUNCT
cana-1857	94	15	town	town	NOUN
cana-1857	94	16	halls	hall	NOUN
cana-1857	94	17	,	,	PUNCT
cana-1857	94	18	and	and	CCONJ
cana-1857	94	19	open	open	ADJ
cana-1857	94	20	forums	forum	NOUN
cana-1857	94	21	,	,	PUNCT
cana-1857	94	22	offering	offer	VERB
cana-1857	94	23	raw	raw	ADJ
cana-1857	94	24	and	and	CCONJ
cana-1857	94	25	unfiltered	unfiltered	ADJ
cana-1857	94	26	opinions	opinion	NOUN
cana-1857	94	27	,	,	PUNCT
cana-1857	94	28	albeit	albeit	SCONJ
cana-1857	94	29	potentially	potentially	ADV
cana-1857	94	30	influenced	influence	VERB
cana-1857	94	31	by	by	ADP
cana-1857	94	32	group	group	NOUN
cana-1857	94	33	dynamics	dynamic	NOUN
cana-1857	94	34	.	.	PUNCT
cana-1857	95	1	online	online	ADJ
cana-1857	95	2	course	course	NOUN
cana-1857	95	3	reviews	review	NOUN
cana-1857	95	4	are	be	AUX
cana-1857	95	5	another	another	DET
cana-1857	95	6	source	source	NOUN
cana-1857	95	7	,	,	PUNCT
cana-1857	95	8	extracted	extract	VERB
cana-1857	95	9	from	from	ADP
cana-1857	95	10	audio	audio	ADJ
cana-1857	95	11	submissions	submission	NOUN
cana-1857	95	12	on	on	ADP
cana-1857	95	13	educational	educational	ADJ
cana-1857	95	14	platforms	platform	NOUN
cana-1857	95	15	;	;	PUNCT
cana-1857	95	16	while	while	SCONJ
cana-1857	95	17	these	these	DET
cana-1857	95	18	reviews	review	NOUN
cana-1857	95	19	are	be	AUX
cana-1857	95	20	often	often	ADV
cana-1857	95	21	well	well	ADV
cana-1857	95	22	-	-	PUNCT
cana-1857	95	23	thought	think	VERB
cana-1857	95	24	-	-	PUNCT
cana-1857	95	25	out	out	NOUN
cana-1857	95	26	,	,	PUNCT
cana-1857	95	27	they	they	PRON
cana-1857	95	28	may	may	AUX
cana-1857	95	29	be	be	AUX
cana-1857	95	30	subject	subject	ADJ
cana-1857	95	31	to	to	ADP
cana-1857	95	32	selection	selection	NOUN
cana-1857	95	33	bias	bias	NOUN
cana-1857	95	34	.	.	PUNCT
cana-1857	96	1	lastly	lastly	ADV
cana-1857	96	2	,	,	PUNCT
cana-1857	96	3	recorded	record	VERB
cana-1857	96	4	interviews	interview	NOUN
cana-1857	96	5	with	with	ADP
cana-1857	96	6	students	student	NOUN
cana-1857	96	7	are	be	AUX
cana-1857	96	8	conducted	conduct	VERB
cana-1857	96	9	in	in	ADP
cana-1857	96	10	controlled	control	VERB
cana-1857	96	11	environments	environment	NOUN
cana-1857	96	12	to	to	PART
cana-1857	96	13	elicit	elicit	VERB
cana-1857	96	14	detailed	detailed	ADJ
cana-1857	96	15	and	and	CCONJ
cana-1857	96	16	candid	candid	ADJ
cana-1857	96	17	feedback	feedback	NOUN
cana-1857	96	18	.	.	PUNCT
cana-1857	97	1	although	although	SCONJ
cana-1857	97	2	this	this	DET
cana-1857	97	3	method	method	NOUN
cana-1857	97	4	provides	provide	VERB
cana-1857	97	5	deep	deep	ADJ
cana-1857	97	6	insights	insight	NOUN
cana-1857	97	7	,	,	PUNCT
cana-1857	97	8	the	the	DET
cana-1857	97	9	formal	formal	ADJ
cana-1857	97	10	setting	setting	NOUN
cana-1857	97	11	may	may	AUX
cana-1857	97	12	somewhat	somewhat	ADV
cana-1857	97	13	constrain	constrain	VERB
cana-1857	97	14	the	the	DET
cana-1857	97	15	spontaneity	spontaneity	NOUN
cana-1857	97	16	of	of	ADP
cana-1857	97	17	the	the	DET
cana-1857	97	18	responses	response	NOUN
cana-1857	97	19	.	.	PUNCT
cana-1857	98	1	fig	fig	NOUN
cana-1857	98	2	.	.	PUNCT
cana-1857	99	1	1	1	NUM
cana-1857	99	2	.	.	X
cana-1857	99	3	block	block	NOUN
cana-1857	99	4	diagram	diagram	PROPN
cana-1857	99	5	.	.	PUNCT
cana-1857	100	1	the	the	DET
cana-1857	100	2	dataset	dataset	NOUN
cana-1857	100	3	aims	aim	VERB
cana-1857	100	4	to	to	PART
cana-1857	100	5	be	be	AUX
cana-1857	100	6	both	both	CCONJ
cana-1857	100	7	comprehensive	comprehensive	ADJ
cana-1857	100	8	and	and	CCONJ
cana-1857	100	9	representative	representative	NOUN
cana-1857	100	10	of	of	ADP
cana-1857	100	11	the	the	DET
cana-1857	100	12	student	student	NOUN
cana-1857	100	13	body	body	NOUN
cana-1857	100	14	’s	’s	PART
cana-1857	100	15	opinions	opinion	NOUN
cana-1857	100	16	on	on	ADP
cana-1857	100	17	faculty	faculty	NOUN
cana-1857	100	18	performance	performance	NOUN
cana-1857	100	19	.	.	PUNCT
cana-1857	101	1	to	to	PART
cana-1857	101	2	quantify	quantify	VERB
cana-1857	101	3	these	these	DET
cana-1857	101	4	aspects	aspect	NOUN
cana-1857	101	5	,	,	PUNCT
cana-1857	101	6	we	we	PRON
cana-1857	101	7	introduce	introduce	VERB
cana-1857	101	8	several	several	ADJ
cana-1857	101	9	metrics	metric	NOUN
cana-1857	101	10	and	and	CCONJ
cana-1857	101	11	equations	equation	NOUN
cana-1857	101	12	.	.	PUNCT
cana-1857	102	1	let	let	VERB
cana-1857	102	2	n	n	PRON
cana-1857	102	3	be	be	AUX
cana-1857	102	4	the	the	DET
cana-1857	102	5	total	total	ADJ
cana-1857	102	6	number	number	NOUN
cana-1857	102	7	of	of	ADP
cana-1857	102	8	feedback	feedback	NOUN
cana-1857	102	9	samples	sample	NOUN
cana-1857	102	10	collected	collect	VERB
cana-1857	102	11	.	.	PUNCT
cana-1857	103	1	let	let	VERB
cana-1857	103	2	nrtcf	nrtcf	NOUN
cana-1857	103	3	,	,	PUNCT
cana-1857	103	4	nocr	nocr	ADJ
cana-1857	103	5	,	,	PUNCT
cana-1857	103	6	nris	nris	NOUN
cana-1857	103	7	be	be	VERB
cana-1857	103	8	the	the	DET
cana-1857	103	9	number	number	NOUN
cana-1857	103	10	of	of	ADP
cana-1857	103	11	realtime	realtime	ADJ
cana-1857	103	12	classroom	classroom	NOUN
cana-1857	103	13	feedback	feedback	NOUN
cana-1857	103	14	,	,	PUNCT
cana-1857	103	15	online	online	ADJ
cana-1857	103	16	course	course	NOUN
cana-1857	103	17	reviews	review	NOUN
cana-1857	103	18	,	,	PUNCT
cana-1857	103	19	and	and	CCONJ
cana-1857	103	20	recorded	record	VERB
cana-1857	103	21	interviews	interview	NOUN
cana-1857	103	22	with	with	ADP
cana-1857	103	23	students	student	NOUN
cana-1857	103	24	,	,	PUNCT
cana-1857	103	25	respectively	respectively	ADV
cana-1857	103	26	.	.	PUNCT
cana-1857	104	1	the	the	DET
cana-1857	104	2	representativeness	representativeness	ADJ
cana-1857	104	3	r	r	NOUN
cana-1857	104	4	of	of	ADP
cana-1857	104	5	the	the	DET
cana-1857	104	6	dataset	dataset	NOUN
cana-1857	104	7	can	can	AUX
cana-1857	104	8	be	be	AUX
cana-1857	104	9	calculated	calculate	VERB
cana-1857	104	10	as	as	ADP
cana-1857	104	11	:	:	PUNCT
cana-1857	104	12	r	r	NOUN
cana-1857	104	13	=	=	SYM
cana-1857	104	14	1	1	NUM
cana-1857	104	15	nrtcf	nrtcf	NOUN
cana-1857	104	16	+	+	CCONJ
cana-1857	104	17	nocr	nocr	ADJ
cana-1857	104	18	+	+	CCONJ
cana-1857	104	19	nris	nris	NOUN
cana-1857	104	20	(	(	PUNCT
cana-1857	104	21	1	1	X
cana-1857	104	22	)	)	PUNCT
cana-1857	104	23	let	let	AUX
cana-1857	104	24	brtcf	brtcf	NOUN
cana-1857	104	25	,	,	PUNCT
cana-1857	104	26	bocr	bocr	PROPN
cana-1857	104	27	,	,	PUNCT
cana-1857	104	28	bris	bris	PROPN
cana-1857	104	29	be	be	VERB
cana-1857	104	30	the	the	DET
cana-1857	104	31	bias	bias	NOUN
cana-1857	104	32	factors	factor	NOUN
cana-1857	104	33	for	for	ADP
cana-1857	104	34	each	each	DET
cana-1857	104	35	source	source	NOUN
cana-1857	104	36	,	,	PUNCT
cana-1857	104	37	which	which	PRON
cana-1857	104	38	can	can	AUX
cana-1857	104	39	range	range	VERB
cana-1857	104	40	from	from	ADP
cana-1857	104	41	0	0	NUM
cana-1857	104	42	to	to	ADP
cana-1857	104	43	1	1	NUM
cana-1857	104	44	,	,	PUNCT
cana-1857	104	45	with	with	ADP
cana-1857	104	46	0	0	NUM
cana-1857	104	47	being	be	AUX
cana-1857	104	48	unbiased	unbiased	ADJ
cana-1857	104	49	and	and	CCONJ
cana-1857	104	50	1	1	NUM
cana-1857	104	51	being	be	AUX
cana-1857	104	52	highly	highly	ADV
cana-1857	104	53	biased	biased	ADJ
cana-1857	104	54	.	.	PUNCT
cana-1857	105	1	the	the	DET
cana-1857	105	2	comprehensiveness	comprehensiveness	NOUN
cana-1857	105	3	c	c	PROPN
cana-1857	105	4	of	of	ADP
cana-1857	105	5	the	the	DET
cana-1857	105	6	dataset	dataset	NOUN
cana-1857	105	7	can	can	AUX
cana-1857	105	8	be	be	AUX
cana-1857	105	9	calculated	calculate	VERB
cana-1857	105	10	as	as	ADP
cana-1857	105	11	:	:	PUNCT
cana-1857	105	12	1	1	NUM
cana-1857	105	13	c	c	NOUN
cana-1857	105	14	=	=	SYM
cana-1857	105	15	3	3	NUM
cana-1857	105	16	(	(	PUNCT
cana-1857	105	17	(	(	PUNCT
cana-1857	105	18	1	1	NUM
cana-1857	105	19	−	−	NOUN
cana-1857	105	20	brtcf	brtcf	NOUN
cana-1857	105	21	)	)	PUNCT
cana-1857	106	1	+	+	CCONJ
cana-1857	106	2	(	(	PUNCT
cana-1857	106	3	1	1	NUM
cana-1857	106	4	−	−	NOUN
cana-1857	106	5	bocr	bocr	ADJ
cana-1857	106	6	)	)	PUNCT
cana-1857	107	1	+	+	CCONJ
cana-1857	107	2	(	(	PUNCT
cana-1857	107	3	1	1	NUM
cana-1857	107	4	−	−	NOUN
cana-1857	107	5	bris	bris	NOUN
cana-1857	107	6	)	)	PUNCT
cana-1857	107	7	)	)	PUNCT
cana-1857	108	1	(	(	PUNCT
cana-1857	108	2	2	2	X
cana-1857	108	3	)	)	PUNCT
cana-1857	108	4	the	the	DET
cana-1857	108	5	overall	overall	ADJ
cana-1857	108	6	quality	quality	NOUN
cana-1857	108	7	q	q	PROPN
cana-1857	108	8	of	of	ADP
cana-1857	108	9	the	the	DET
cana-1857	108	10	dataset	dataset	NOUN
cana-1857	108	11	can	can	AUX
cana-1857	108	12	be	be	AUX
cana-1857	108	13	a	a	DET
cana-1857	108	14	function	function	NOUN
cana-1857	108	15	of	of	ADP
cana-1857	108	16	both	both	DET
cana-1857	108	17	r	r	NOUN
cana-1857	108	18	and	and	CCONJ
cana-1857	108	19	c	c	NOUN
cana-1857	108	20	:	:	PUNCT
cana-1857	108	21	q	q	X
cana-1857	108	22	=	=	SYM
cana-1857	108	23	αr	αr	PROPN
cana-1857	108	24	+	+	SYM
cana-1857	108	25	(	(	PUNCT
cana-1857	108	26	1	1	NUM
cana-1857	108	27	−	−	NOUN
cana-1857	108	28	α)c	α)c	PUNCT
cana-1857	108	29	(	(	PUNCT
cana-1857	108	30	3	3	X
cana-1857	108	31	)	)	PUNCT
cana-1857	108	32	communications	communication	NOUN
cana-1857	108	33	on	on	ADP
cana-1857	108	34	applied	apply	VERB
cana-1857	108	35	nonlinear	nonlinear	ADJ
cana-1857	108	36	analysis	analysis	NOUN
cana-1857	108	37	issn	issn	NOUN
cana-1857	108	38	:	:	PUNCT
cana-1857	108	39	1074	1074	NUM
cana-1857	108	40	-	-	PUNCT
cana-1857	108	41	133x	133x	NUM
cana-1857	108	42	vol	vol	NOUN
cana-1857	108	43	32	32	NUM
cana-1857	108	44	no	no	NOUN
cana-1857	108	45	.	.	NOUN
cana-1857	108	46	2	2	NUM
cana-1857	108	47	(	(	PUNCT
cana-1857	108	48	2025	2025	NUM
cana-1857	108	49	)	)	PUNCT
cana-1857	108	50	615	615	NUM
cana-1857	108	51	https://internationalpubls.com	https://internationalpubls.com	X
cana-1857	108	52	where	where	SCONJ
cana-1857	108	53	α	α	NOUN
cana-1857	108	54	is	be	AUX
cana-1857	108	55	a	a	DET
cana-1857	108	56	weighting	weight	VERB
cana-1857	108	57	factor	factor	NOUN
cana-1857	108	58	between	between	ADP
cana-1857	108	59	0	0	NUM
cana-1857	108	60	and	and	CCONJ
cana-1857	108	61	1	1	NUM
cana-1857	108	62	that	that	PRON
cana-1857	108	63	balances	balance	VERB
cana-1857	108	64	the	the	DET
cana-1857	108	65	importance	importance	NOUN
cana-1857	108	66	of	of	ADP
cana-1857	108	67	representativeness	representativeness	NOUN
cana-1857	108	68	and	and	CCONJ
cana-1857	108	69	comprehensiveness	comprehensiveness	NOUN
cana-1857	108	70	.	.	PUNCT
cana-1857	109	1	2	2	X
cana-1857	109	2	)	)	PUNCT
cana-1857	109	3	sampling	sample	VERB
cana-1857	109	4	rate	rate	NOUN
cana-1857	109	5	:	:	PUNCT
cana-1857	109	6	audio	audio	ADJ
cana-1857	109	7	quality	quality	NOUN
cana-1857	109	8	is	be	AUX
cana-1857	109	9	a	a	DET
cana-1857	109	10	critical	critical	ADJ
cana-1857	109	11	factor	factor	NOUN
cana-1857	109	12	in	in	ADP
cana-1857	109	13	the	the	DET
cana-1857	109	14	accuracy	accuracy	NOUN
cana-1857	109	15	of	of	ADP
cana-1857	109	16	speech	speech	NOUN
cana-1857	109	17	-	-	PUNCT
cana-1857	109	18	to	to	ADP
cana-1857	109	19	-	-	PUNCT
cana-1857	109	20	text	text	NOUN
cana-1857	109	21	conversion	conversion	NOUN
cana-1857	109	22	algorithms	algorithm	NOUN
cana-1857	109	23	.	.	PUNCT
cana-1857	110	1	to	to	PART
cana-1857	110	2	ensure	ensure	VERB
cana-1857	110	3	high	high	ADJ
cana-1857	110	4	fidelity	fidelity	NOUN
cana-1857	110	5	and	and	CCONJ
cana-1857	110	6	preserve	preserve	VERB
cana-1857	110	7	the	the	DET
cana-1857	110	8	intricate	intricate	ADJ
cana-1857	110	9	nuances	nuance	NOUN
cana-1857	110	10	and	and	CCONJ
cana-1857	110	11	tonal	tonal	ADJ
cana-1857	110	12	variations	variation	NOUN
cana-1857	110	13	in	in	ADP
cana-1857	110	14	spoken	spoken	ADJ
cana-1857	110	15	language	language	NOUN
cana-1857	110	16	,	,	PUNCT
cana-1857	110	17	a	a	DET
cana-1857	110	18	sampling	sample	VERB
cana-1857	110	19	rate	rate	NOUN
cana-1857	110	20	of	of	ADP
cana-1857	110	21	16	16	NUM
cana-1857	110	22	khz	khz	NOUN
cana-1857	110	23	is	be	AUX
cana-1857	110	24	employed	employ	VERB
cana-1857	110	25	.	.	PUNCT
cana-1857	111	1	this	this	DET
cana-1857	111	2	rate	rate	NOUN
cana-1857	111	3	is	be	AUX
cana-1857	111	4	selected	select	VERB
cana-1857	111	5	based	base	VERB
cana-1857	111	6	on	on	ADP
cana-1857	111	7	empirical	empirical	ADJ
cana-1857	111	8	studies	study	NOUN
cana-1857	111	9	that	that	PRON
cana-1857	111	10	demonstrate	demonstrate	VERB
cana-1857	111	11	its	its	PRON
cana-1857	111	12	effectiveness	effectiveness	NOUN
cana-1857	111	13	in	in	ADP
cana-1857	111	14	capturing	capture	VERB
cana-1857	111	15	sufficient	sufficient	ADJ
cana-1857	111	16	audio	audio	NOUN
cana-1857	111	17	detail	detail	NOUN
cana-1857	111	18	while	while	SCONJ
cana-1857	111	19	maintaining	maintain	VERB
cana-1857	111	20	computational	computational	ADJ
cana-1857	111	21	efficiency	efficiency	NOUN
cana-1857	111	22	.	.	PUNCT
cana-1857	112	1	audio	audio	ADJ
cana-1857	112	2	quality	quality	NOUN
cana-1857	112	3	is	be	AUX
cana-1857	112	4	a	a	DET
cana-1857	112	5	critical	critical	ADJ
cana-1857	112	6	factor	factor	NOUN
cana-1857	112	7	in	in	ADP
cana-1857	112	8	the	the	DET
cana-1857	112	9	accuracy	accuracy	NOUN
cana-1857	112	10	of	of	ADP
cana-1857	112	11	speech	speech	NOUN
cana-1857	112	12	-	-	PUNCT
cana-1857	112	13	to	to	ADP
cana-1857	112	14	-	-	PUNCT
cana-1857	112	15	text	text	NOUN
cana-1857	112	16	conversion	conversion	NOUN
cana-1857	112	17	algorithms	algorithm	NOUN
cana-1857	112	18	.	.	PUNCT
cana-1857	113	1	to	to	PART
cana-1857	113	2	quantify	quantify	VERB
cana-1857	113	3	the	the	DET
cana-1857	113	4	impact	impact	NOUN
cana-1857	113	5	of	of	ADP
cana-1857	113	6	the	the	DET
cana-1857	113	7	sampling	sample	VERB
cana-1857	113	8	rate	rate	NOUN
cana-1857	113	9	on	on	ADP
cana-1857	113	10	the	the	DET
cana-1857	113	11	accuracy	accuracy	NOUN
cana-1857	113	12	,	,	PUNCT
cana-1857	113	13	we	we	PRON
cana-1857	113	14	introduce	introduce	VERB
cana-1857	113	15	the	the	DET
cana-1857	113	16	following	follow	VERB
cana-1857	113	17	metrics	metric	NOUN
cana-1857	113	18	and	and	CCONJ
cana-1857	113	19	equations	equation	NOUN
cana-1857	113	20	.	.	PUNCT
cana-1857	114	1	the	the	DET
cana-1857	114	2	nyquist	nyquist	PROPN
cana-1857	114	3	rate	rate	NOUN
cana-1857	114	4	nr	nr	PROPN
cana-1857	114	5	is	be	AUX
cana-1857	114	6	defined	define	VERB
cana-1857	114	7	as	as	ADP
cana-1857	114	8	twice	twice	DET
cana-1857	114	9	the	the	DET
cana-1857	114	10	highest	high	ADJ
cana-1857	114	11	frequency	frequency	NOUN
cana-1857	114	12	fmax	fmax	PROPN
cana-1857	114	13	present	present	ADJ
cana-1857	114	14	in	in	ADP
cana-1857	114	15	the	the	DET
cana-1857	114	16	signal	signal	NOUN
cana-1857	114	17	:	:	PUNCT
cana-1857	114	18	nr	nr	NOUN
cana-1857	114	19	=	=	SYM
cana-1857	114	20	2	2	NUM
cana-1857	114	21	×	×	NOUN
cana-1857	114	22	fmax	fmax	NOUN
cana-1857	114	23	(	(	PUNCT
cana-1857	114	24	4	4	X
cana-1857	114	25	)	)	PUNCT
cana-1857	114	26	the	the	DET
cana-1857	114	27	selected	select	VERB
cana-1857	114	28	sampling	sampling	NOUN
cana-1857	114	29	rate	rate	NOUN
cana-1857	114	30	fs	f	NOUN
cana-1857	114	31	should	should	AUX
cana-1857	114	32	be	be	AUX
cana-1857	114	33	greater	great	ADJ
cana-1857	114	34	than	than	ADP
cana-1857	114	35	or	or	CCONJ
cana-1857	114	36	equal	equal	ADJ
cana-1857	114	37	to	to	ADP
cana-1857	114	38	the	the	DET
cana-1857	114	39	nyquist	nyquist	NOUN
cana-1857	114	40	rate	rate	NOUN
cana-1857	114	41	:	:	PUNCT
cana-1857	114	42	fs	fs	PART
cana-1857	114	43	≥	≥	PROPN
cana-1857	114	44	nr	nr	PROPN
cana-1857	114	45	(	(	PUNCT
cana-1857	114	46	5	5	NUM
cana-1857	114	47	)	)	PUNCT
cana-1857	114	48	let	let	VERB
cana-1857	114	49	a	a	PRON
cana-1857	114	50	be	be	AUX
cana-1857	114	51	the	the	DET
cana-1857	114	52	accuracy	accuracy	NOUN
cana-1857	114	53	of	of	ADP
cana-1857	114	54	the	the	DET
cana-1857	114	55	speech	speech	NOUN
cana-1857	114	56	-	-	PUNCT
cana-1857	114	57	to	to	ADP
cana-1857	114	58	-	-	PUNCT
cana-1857	114	59	text	text	NOUN
cana-1857	114	60	conversion	conversion	NOUN
cana-1857	114	61	.	.	PUNCT
cana-1857	115	1	a	a	PRON
cana-1857	115	2	can	can	AUX
cana-1857	115	3	be	be	AUX
cana-1857	115	4	modeled	model	VERB
cana-1857	115	5	as	as	ADP
cana-1857	115	6	a	a	DET
cana-1857	115	7	function	function	NOUN
cana-1857	115	8	of	of	ADP
cana-1857	115	9	fs	f	NOUN
cana-1857	115	10	and	and	CCONJ
cana-1857	115	11	a	a	DET
cana-1857	115	12	set	set	NOUN
cana-1857	115	13	of	of	ADP
cana-1857	115	14	other	other	ADJ
cana-1857	115	15	parameters	parameter	NOUN
cana-1857	115	16	p	p	X
cana-1857	115	17	:	:	PUNCT
cana-1857	115	18	a	a	PRON
cana-1857	115	19	=	=	X
cana-1857	115	20	f	f	X
cana-1857	115	21	(	(	PUNCT
cana-1857	115	22	fs	fs	PROPN
cana-1857	115	23	,	,	PUNCT
cana-1857	115	24	p	p	NOUN
cana-1857	115	25	)	)	PUNCT
cana-1857	115	26	(	(	PUNCT
cana-1857	115	27	6	6	X
cana-1857	115	28	)	)	PUNCT
cana-1857	115	29	let	let	VERB
cana-1857	115	30	e	e	PRON
cana-1857	115	31	be	be	AUX
cana-1857	115	32	the	the	DET
cana-1857	115	33	computational	computational	ADJ
cana-1857	115	34	efficiency	efficiency	NOUN
cana-1857	115	35	,	,	PUNCT
cana-1857	115	36	which	which	PRON
cana-1857	115	37	can	can	AUX
cana-1857	115	38	be	be	AUX
cana-1857	115	39	modeled	model	VERB
cana-1857	115	40	as	as	ADP
cana-1857	115	41	an	an	DET
cana-1857	115	42	inverse	inverse	NOUN
cana-1857	115	43	function	function	NOUN
cana-1857	115	44	of	of	ADP
cana-1857	115	45	fs	fs	ADP
cana-1857	115	46	:	:	PUNCT
cana-1857	115	47	e	e	NOUN
cana-1857	115	48	=	=	SYM
cana-1857	115	49	1	1	NUM
cana-1857	115	50	(	(	PUNCT
cana-1857	115	51	7	7	NUM
cana-1857	115	52	)	)	PUNCT
cana-1857	115	53	fs	fs	ADP
cana-1857	115	54	the	the	DET
cana-1857	115	55	overall	overall	ADJ
cana-1857	115	56	quality	quality	NOUN
cana-1857	115	57	q	q	NOUN
cana-1857	115	58	can	can	AUX
cana-1857	115	59	be	be	AUX
cana-1857	115	60	modeled	model	VERB
cana-1857	115	61	as	as	ADP
cana-1857	115	62	a	a	DET
cana-1857	115	63	weighted	weighted	ADJ
cana-1857	115	64	sum	sum	NOUN
cana-1857	115	65	of	of	ADP
cana-1857	115	66	a	a	PRON
cana-1857	115	67	and	and	CCONJ
cana-1857	115	68	e	e	NOUN
cana-1857	115	69	:	:	PUNCT
cana-1857	115	70	q	q	X
cana-1857	116	1	=	=	PUNCT
cana-1857	116	2	αa	αa	INTJ
cana-1857	116	3	+	+	CCONJ
cana-1857	116	4	(	(	PUNCT
cana-1857	116	5	1	1	NUM
cana-1857	116	6	−	−	NOUN
cana-1857	116	7	α)e	α)e	NOUN
cana-1857	116	8	(	(	PUNCT
cana-1857	116	9	8)	8)	NUM
cana-1857	116	10	where	where	SCONJ
cana-1857	116	11	α	α	NOUN
cana-1857	116	12	is	be	AUX
cana-1857	116	13	a	a	DET
cana-1857	116	14	weighting	weight	VERB
cana-1857	116	15	factor	factor	NOUN
cana-1857	116	16	between	between	ADP
cana-1857	116	17	0	0	NUM
cana-1857	116	18	and	and	CCONJ
cana-1857	116	19	1	1	NUM
cana-1857	116	20	that	that	PRON
cana-1857	116	21	balances	balance	VERB
cana-1857	116	22	the	the	DET
cana-1857	116	23	importance	importance	NOUN
cana-1857	116	24	of	of	ADP
cana-1857	116	25	accuracy	accuracy	NOUN
cana-1857	116	26	and	and	CCONJ
cana-1857	116	27	computational	computational	ADJ
cana-1857	116	28	efficiency	efficiency	NOUN
cana-1857	116	29	.	.	PUNCT
cana-1857	117	1	3	3	X
cana-1857	117	2	)	)	PUNCT
cana-1857	117	3	audio	audio	ADJ
cana-1857	117	4	format	format	NOUN
cana-1857	117	5	:	:	PUNCT
cana-1857	117	6	data	datum	NOUN
cana-1857	117	7	integrity	integrity	NOUN
cana-1857	117	8	is	be	AUX
cana-1857	117	9	crucial	crucial	ADJ
cana-1857	117	10	when	when	SCONJ
cana-1857	117	11	dealing	deal	VERB
cana-1857	117	12	with	with	ADP
cana-1857	117	13	audio	audio	ADJ
cana-1857	117	14	files	file	NOUN
cana-1857	117	15	,	,	PUNCT
cana-1857	117	16	as	as	SCONJ
cana-1857	117	17	lossy	lossy	ADJ
cana-1857	117	18	compression	compression	NOUN
cana-1857	117	19	can	can	AUX
cana-1857	117	20	result	result	VERB
cana-1857	117	21	in	in	ADP
cana-1857	117	22	the	the	DET
cana-1857	117	23	loss	loss	NOUN
cana-1857	117	24	of	of	ADP
cana-1857	117	25	important	important	ADJ
cana-1857	117	26	tonal	tonal	ADJ
cana-1857	117	27	information	information	NOUN
cana-1857	117	28	.	.	PUNCT
cana-1857	118	1	therefore	therefore	ADV
cana-1857	118	2	,	,	PUNCT
cana-1857	118	3	all	all	DET
cana-1857	118	4	audio	audio	ADJ
cana-1857	118	5	data	datum	NOUN
cana-1857	118	6	is	be	AUX
cana-1857	118	7	stored	store	VERB
cana-1857	118	8	in	in	ADP
cana-1857	118	9	the	the	DET
cana-1857	118	10	wav	wav	PROPN
cana-1857	118	11	format	format	NOUN
cana-1857	118	12	,	,	PUNCT
cana-1857	118	13	renowned	renowne	VERB
cana-1857	118	14	for	for	ADP
cana-1857	118	15	its	its	PRON
cana-1857	118	16	lossless	lossless	NOUN
cana-1857	118	17	compression	compression	NOUN
cana-1857	118	18	capabilities	capability	NOUN
cana-1857	118	19	.	.	PUNCT
cana-1857	119	1	this	this	PRON
cana-1857	119	2	ensures	ensure	VERB
cana-1857	119	3	that	that	SCONJ
cana-1857	119	4	the	the	DET
cana-1857	119	5	audio	audio	ADJ
cana-1857	119	6	quality	quality	NOUN
cana-1857	119	7	is	be	AUX
cana-1857	119	8	preserved	preserve	VERB
cana-1857	119	9	throughout	throughout	ADP
cana-1857	119	10	the	the	DET
cana-1857	119	11	various	various	ADJ
cana-1857	119	12	stages	stage	NOUN
cana-1857	119	13	of	of	ADP
cana-1857	119	14	the	the	DET
cana-1857	119	15	research	research	NOUN
cana-1857	119	16	pipeline	pipeline	NOUN
cana-1857	119	17	,	,	PUNCT
cana-1857	119	18	from	from	ADP
cana-1857	119	19	data	datum	NOUN
cana-1857	119	20	collection	collection	NOUN
cana-1857	119	21	to	to	ADP
cana-1857	119	22	analysis	analysis	NOUN
cana-1857	119	23	.	.	PUNCT
cana-1857	120	1	b.	b.	PROPN
cana-1857	120	2	speech	speech	PROPN
cana-1857	120	3	-	-	PUNCT
cana-1857	120	4	to	to	ADP
cana-1857	120	5	-	-	PUNCT
cana-1857	120	6	text	text	NOUN
cana-1857	120	7	api	api	NOUN
cana-1857	120	8	the	the	DET
cana-1857	120	9	speech	speech	NOUN
cana-1857	120	10	-	-	PUNCT
cana-1857	120	11	to	to	ADP
cana-1857	120	12	-	-	PUNCT
cana-1857	120	13	text	text	NOUN
cana-1857	120	14	(	(	PUNCT
cana-1857	120	15	stt	stt	PROPN
cana-1857	120	16	)	)	PUNCT
cana-1857	120	17	conversion	conversion	NOUN
cana-1857	120	18	process	process	NOUN
cana-1857	120	19	serves	serve	VERB
cana-1857	120	20	as	as	ADP
cana-1857	120	21	the	the	DET
cana-1857	120	22	linchpin	linchpin	NOUN
cana-1857	120	23	that	that	PRON
cana-1857	120	24	bridges	bridge	VERB
cana-1857	120	25	the	the	DET
cana-1857	120	26	gap	gap	NOUN
cana-1857	120	27	between	between	ADP
cana-1857	120	28	the	the	DET
cana-1857	120	29	raw	raw	ADJ
cana-1857	120	30	spoken	spoken	ADJ
cana-1857	120	31	feedback	feedback	NOUN
cana-1857	120	32	and	and	CCONJ
cana-1857	120	33	the	the	DET
cana-1857	120	34	subsequent	subsequent	ADJ
cana-1857	120	35	computational	computational	ADJ
cana-1857	120	36	sentiment	sentiment	NOUN
cana-1857	120	37	analysis	analysis	NOUN
cana-1857	120	38	(	(	PUNCT
cana-1857	120	39	19	19	NUM
cana-1857	120	40	)	)	PUNCT
cana-1857	120	41	.	.	PUNCT
cana-1857	121	1	among	among	ADP
cana-1857	121	2	the	the	DET
cana-1857	121	3	various	various	ADJ
cana-1857	121	4	stt	stt	PROPN
cana-1857	121	5	technologies	technology	NOUN
cana-1857	121	6	available	available	ADJ
cana-1857	121	7	,	,	PUNCT
cana-1857	121	8	we	we	PRON
cana-1857	121	9	chose	choose	VERB
cana-1857	121	10	the	the	DET
cana-1857	121	11	google	google	PROPN
cana-1857	121	12	cloud	cloud	PROPN
cana-1857	121	13	speech	speech	NOUN
cana-1857	121	14	-	-	PUNCT
cana-1857	121	15	to	to	ADP
cana-1857	121	16	-	-	PUNCT
cana-1857	121	17	text	text	NOUN
cana-1857	121	18	api	api	NOUN
cana-1857	121	19	for	for	ADP
cana-1857	121	20	its	its	PRON
cana-1857	121	21	high	high	ADJ
cana-1857	121	22	accuracy	accuracy	NOUN
cana-1857	121	23	rates	rate	NOUN
cana-1857	121	24	and	and	CCONJ
cana-1857	121	25	low	low	ADJ
cana-1857	121	26	-	-	PUNCT
cana-1857	121	27	latency	latency	NOUN
cana-1857	121	28	performance	performance	NOUN
cana-1857	121	29	.	.	PUNCT
cana-1857	122	1	this	this	DET
cana-1857	122	2	api	api	NOUN
cana-1857	122	3	,	,	PUNCT
cana-1857	122	4	backed	back	VERB
cana-1857	122	5	by	by	ADP
cana-1857	122	6	google	google	PROPN
cana-1857	122	7	’s	’s	PART
cana-1857	122	8	extensive	extensive	ADJ
cana-1857	122	9	machine	machine	NOUN
cana-1857	122	10	learning	learn	VERB
cana-1857	122	11	capabilities	capability	NOUN
cana-1857	122	12	,	,	PUNCT
cana-1857	122	13	offers	offer	VERB
cana-1857	122	14	a	a	DET
cana-1857	122	15	robust	robust	ADJ
cana-1857	122	16	framework	framework	NOUN
cana-1857	122	17	that	that	PRON
cana-1857	122	18	supports	support	VERB
cana-1857	122	19	multiple	multiple	ADJ
cana-1857	122	20	languages	language	NOUN
cana-1857	122	21	and	and	CCONJ
cana-1857	122	22	dialects	dialect	NOUN
cana-1857	122	23	.	.	PUNCT
cana-1857	123	1	its	its	PRON
cana-1857	123	2	adaptability	adaptability	NOUN
cana-1857	123	3	to	to	ADP
cana-1857	123	4	different	different	ADJ
cana-1857	123	5	audio	audio	NOUN
cana-1857	123	6	formats	format	NOUN
cana-1857	123	7	and	and	CCONJ
cana-1857	123	8	compatibility	compatibility	NOUN
cana-1857	123	9	with	with	ADP
cana-1857	123	10	real	real	ADJ
cana-1857	123	11	-	-	PUNCT
cana-1857	123	12	time	time	NOUN
cana-1857	123	13	streaming	streaming	NOUN
cana-1857	123	14	make	make	VERB
cana-1857	123	15	it	it	PRON
cana-1857	123	16	an	an	DET
cana-1857	123	17	ideal	ideal	ADJ
cana-1857	123	18	choice	choice	NOUN
cana-1857	123	19	for	for	ADP
cana-1857	123	20	our	our	PRON
cana-1857	123	21	research	research	NOUN
cana-1857	123	22	.	.	PUNCT
cana-1857	124	1	communications	communication	NOUN
cana-1857	124	2	on	on	ADP
cana-1857	124	3	applied	apply	VERB
cana-1857	124	4	nonlinear	nonlinear	ADJ
cana-1857	124	5	analysis	analysis	NOUN
cana-1857	124	6	issn	issn	NOUN
cana-1857	124	7	:	:	PUNCT
cana-1857	124	8	1074	1074	NUM
cana-1857	124	9	-	-	PUNCT
cana-1857	124	10	133x	133x	NUM
cana-1857	124	11	vol	vol	NOUN
cana-1857	124	12	32	32	NUM
cana-1857	124	13	no	no	NOUN
cana-1857	124	14	.	.	NOUN
cana-1857	124	15	2	2	NUM
cana-1857	124	16	(	(	PUNCT
cana-1857	124	17	2025	2025	NUM
cana-1857	124	18	)	)	PUNCT
cana-1857	124	19	616	616	NUM
cana-1857	124	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1857	124	21	∫	∫	NOUN
cana-1857	125	1	we	we	PRON
cana-1857	125	2	integrated	integrate	VERB
cana-1857	125	3	the	the	DET
cana-1857	125	4	api	api	NOUN
cana-1857	125	5	into	into	ADP
cana-1857	125	6	our	our	PRON
cana-1857	125	7	data	data	NOUN
cana-1857	125	8	pipeline	pipeline	NOUN
cana-1857	125	9	using	use	VERB
cana-1857	125	10	a	a	DET
cana-1857	125	11	python	python	NOUN
cana-1857	125	12	wrapper	wrapper	NOUN
cana-1857	125	13	,	,	PUNCT
cana-1857	125	14	ensuring	ensure	VERB
cana-1857	125	15	seamless	seamless	ADJ
cana-1857	125	16	data	datum	NOUN
cana-1857	125	17	flow	flow	NOUN
cana-1857	125	18	and	and	CCONJ
cana-1857	125	19	maintaining	maintain	VERB
cana-1857	125	20	the	the	DET
cana-1857	125	21	integrity	integrity	NOUN
cana-1857	125	22	of	of	ADP
cana-1857	125	23	the	the	DET
cana-1857	125	24	audio	audio	ADJ
cana-1857	125	25	data	datum	NOUN
cana-1857	125	26	during	during	ADP
cana-1857	125	27	the	the	DET
cana-1857	125	28	conversion	conversion	NOUN
cana-1857	125	29	process	process	NOUN
cana-1857	125	30	.	.	PUNCT
cana-1857	126	1	1	1	X
cana-1857	126	2	)	)	PUNCT
cana-1857	126	3	preprocessing	preprocessing	NOUN
cana-1857	126	4	:	:	PUNCT
cana-1857	126	5	before	before	SCONJ
cana-1857	126	6	the	the	DET
cana-1857	126	7	audio	audio	ADJ
cana-1857	126	8	data	data	NOUN
cana-1857	126	9	undergoes	undergo	VERB
cana-1857	126	10	stt	stt	PROPN
cana-1857	126	11	conversion	conversion	PROPN
cana-1857	126	12	,	,	PUNCT
cana-1857	126	13	we	we	PRON
cana-1857	126	14	apply	apply	VERB
cana-1857	126	15	a	a	DET
cana-1857	126	16	series	series	NOUN
cana-1857	126	17	of	of	ADP
cana-1857	126	18	preprocessing	preprocesse	VERB
cana-1857	126	19	steps	step	NOUN
cana-1857	126	20	to	to	PART
cana-1857	126	21	enhance	enhance	VERB
cana-1857	126	22	the	the	DET
cana-1857	126	23	audio	audio	ADJ
cana-1857	126	24	quality	quality	NOUN
cana-1857	126	25	,	,	PUNCT
cana-1857	126	26	thereby	thereby	ADV
cana-1857	126	27	improving	improve	VERB
cana-1857	126	28	conversion	conversion	NOUN
cana-1857	126	29	accuracy	accuracy	NOUN
cana-1857	126	30	.	.	PUNCT
cana-1857	127	1	one	one	NUM
cana-1857	127	2	of	of	ADP
cana-1857	127	3	the	the	DET
cana-1857	127	4	challenges	challenge	NOUN
cana-1857	127	5	in	in	ADP
cana-1857	127	6	real	real	ADJ
cana-1857	127	7	-	-	PUNCT
cana-1857	127	8	world	world	NOUN
cana-1857	127	9	audio	audio	NOUN
cana-1857	127	10	data	datum	NOUN
cana-1857	127	11	collection	collection	NOUN
cana-1857	127	12	is	be	AUX
cana-1857	127	13	ambient	ambient	ADJ
cana-1857	127	14	noise	noise	NOUN
cana-1857	127	15	.	.	PUNCT
cana-1857	128	1	to	to	PART
cana-1857	128	2	address	address	VERB
cana-1857	128	3	this	this	PRON
cana-1857	128	4	,	,	PUNCT
cana-1857	128	5	we	we	PRON
cana-1857	128	6	use	use	VERB
cana-1857	128	7	a	a	DET
cana-1857	128	8	spectral	spectral	ADJ
cana-1857	128	9	subtraction	subtraction	NOUN
cana-1857	128	10	algorithm	algorithm	NOUN
cana-1857	128	11	that	that	PRON
cana-1857	128	12	operates	operate	VERB
cana-1857	128	13	in	in	ADP
cana-1857	128	14	the	the	DET
cana-1857	128	15	frequency	frequency	NOUN
cana-1857	128	16	domain	domain	NOUN
cana-1857	128	17	.	.	PUNCT
cana-1857	129	1	this	this	DET
cana-1857	129	2	algorithm	algorithm	NOUN
cana-1857	129	3	subtracts	subtract	VERB
cana-1857	129	4	the	the	DET
cana-1857	129	5	estimated	estimate	VERB
cana-1857	129	6	noise	noise	NOUN
cana-1857	129	7	spectrum	spectrum	NOUN
cana-1857	129	8	from	from	ADP
cana-1857	129	9	the	the	DET
cana-1857	129	10	noisy	noisy	ADJ
cana-1857	129	11	speech	speech	NOUN
cana-1857	129	12	signal	signal	NOUN
cana-1857	129	13	,	,	PUNCT
cana-1857	129	14	effectively	effectively	ADV
cana-1857	129	15	isolating	isolate	VERB
cana-1857	129	16	the	the	DET
cana-1857	129	17	clean	clean	ADJ
cana-1857	129	18	speech	speech	NOUN
cana-1857	129	19	components	component	NOUN
cana-1857	129	20	.	.	PUNCT
cana-1857	130	1	the	the	DET
cana-1857	130	2	algorithm	algorithm	NOUN
cana-1857	130	3	’s	’s	PART
cana-1857	130	4	parameters	parameter	NOUN
cana-1857	130	5	are	be	AUX
cana-1857	130	6	fine	fine	ADV
cana-1857	130	7	-	-	PUNCT
cana-1857	130	8	tuned	tune	VERB
cana-1857	130	9	through	through	ADP
cana-1857	130	10	a	a	DET
cana-1857	130	11	series	series	NOUN
cana-1857	130	12	of	of	ADP
cana-1857	130	13	iterative	iterative	ADJ
cana-1857	130	14	experiments	experiment	NOUN
cana-1857	130	15	to	to	PART
cana-1857	130	16	optimize	optimize	VERB
cana-1857	130	17	its	its	PRON
cana-1857	130	18	performance	performance	NOUN
cana-1857	130	19	for	for	ADP
cana-1857	130	20	educational	educational	ADJ
cana-1857	130	21	settings	setting	NOUN
cana-1857	130	22	.	.	PUNCT
cana-1857	131	1	let	let	VERB
cana-1857	131	2	s(f	s(f	PROPN
cana-1857	131	3	)	)	PUNCT
cana-1857	131	4	be	be	AUX
cana-1857	131	5	the	the	DET
cana-1857	131	6	fourier	fourier	ADJ
cana-1857	131	7	transform	transform	NOUN
cana-1857	131	8	of	of	ADP
cana-1857	131	9	the	the	DET
cana-1857	131	10	noisy	noisy	ADJ
cana-1857	131	11	signal	signal	NOUN
cana-1857	131	12	,	,	PUNCT
cana-1857	131	13	n	n	CCONJ
cana-1857	131	14	(	(	PUNCT
cana-1857	131	15	f	f	PROPN
cana-1857	131	16	)	)	PUNCT
cana-1857	131	17	be	be	AUX
cana-1857	131	18	the	the	DET
cana-1857	131	19	fourier	fourier	ADJ
cana-1857	131	20	transform	transform	NOUN
cana-1857	131	21	of	of	ADP
cana-1857	131	22	the	the	DET
cana-1857	131	23	noise	noise	NOUN
cana-1857	131	24	,	,	PUNCT
cana-1857	131	25	and	and	CCONJ
cana-1857	132	1	x(f	x(f	PROPN
cana-1857	132	2	)	)	PUNCT
cana-1857	132	3	be	be	VERB
cana-1857	132	4	the	the	DET
cana-1857	132	5	fourier	fourier	ADJ
cana-1857	132	6	transform	transform	NOUN
cana-1857	132	7	of	of	ADP
cana-1857	132	8	the	the	DET
cana-1857	132	9	clean	clean	ADJ
cana-1857	132	10	signal	signal	NOUN
cana-1857	132	11	.	.	PUNCT
cana-1857	133	1	the	the	DET
cana-1857	133	2	noisy	noisy	ADJ
cana-1857	133	3	signal	signal	NOUN
cana-1857	133	4	is	be	AUX
cana-1857	133	5	then	then	ADV
cana-1857	133	6	:	:	PUNCT
cana-1857	133	7	s(f	s(f	X
cana-1857	133	8	)	)	PUNCT
cana-1857	134	1	=	=	SYM
cana-1857	134	2	x(f	x(f	PROPN
cana-1857	134	3	)	)	PUNCT
cana-1857	135	1	+	+	CCONJ
cana-1857	135	2	n	n	X
cana-1857	135	3	(	(	PUNCT
cana-1857	135	4	f	f	PROPN
cana-1857	135	5	)	)	PUNCT
cana-1857	135	6	(	(	PUNCT
cana-1857	135	7	9	9	X
cana-1857	135	8	)	)	PUNCT
cana-1857	135	9	the	the	DET
cana-1857	135	10	spectral	spectral	ADJ
cana-1857	135	11	subtraction	subtraction	NOUN
cana-1857	135	12	algorithm	algorithm	NOUN
cana-1857	135	13	aims	aim	VERB
cana-1857	135	14	to	to	PART
cana-1857	135	15	estimate	estimate	VERB
cana-1857	135	16	x(f	x(f	PROPN
cana-1857	135	17	)	)	PUNCT
cana-1857	135	18	by	by	ADP
cana-1857	135	19	subtracting	subtract	VERB
cana-1857	135	20	an	an	DET
cana-1857	135	21	estimate	estimate	NOUN
cana-1857	135	22	of	of	ADP
cana-1857	135	23	n	n	PROPN
cana-1857	135	24	(	(	PUNCT
cana-1857	135	25	f	f	PROPN
cana-1857	135	26	)	)	PUNCT
cana-1857	135	27	from	from	ADP
cana-1857	135	28	s(f	s(f	PROPN
cana-1857	135	29	):	):	PUNCT
cana-1857	135	30	x̂(f	x̂(f	PUNCT
cana-1857	135	31	)	)	PUNCT
cana-1857	136	1	=	=	SYM
cana-1857	136	2	s(f	s(f	PROPN
cana-1857	136	3	)	)	PUNCT
cana-1857	136	4	−	−	NOUN
cana-1857	136	5	n̂(f	n̂(f	ADP
cana-1857	136	6	)	)	PUNCT
cana-1857	136	7	(	(	PUNCT
cana-1857	136	8	10	10	NUM
cana-1857	136	9	)	)	PUNCT
cana-1857	136	10	the	the	DET
cana-1857	136	11	error	error	NOUN
cana-1857	136	12	e	e	NOUN
cana-1857	136	13	in	in	ADP
cana-1857	136	14	the	the	DET
cana-1857	136	15	estimation	estimation	NOUN
cana-1857	136	16	can	can	AUX
cana-1857	136	17	be	be	AUX
cana-1857	136	18	defined	define	VERB
cana-1857	136	19	as	as	ADP
cana-1857	136	20	:	:	PUNCT
cana-1857	136	21	e	e	X
cana-1857	136	22	=	=	SYM
cana-1857	136	23	∞	∞	PROPN
cana-1857	136	24	|x(f	|x(f	PROPN
cana-1857	136	25	)	)	PUNCT
cana-1857	136	26	−	−	PROPN
cana-1857	137	1	x̂(f	x̂(f	X
cana-1857	137	2	)	)	PUNCT
cana-1857	137	3	|2df	|2df	NOUN
cana-1857	137	4	(	(	PUNCT
cana-1857	137	5	11	11	NUM
cana-1857	137	6	)	)	PUNCT
cana-1857	137	7	−∞	−∞	ADP
cana-1857	137	8	the	the	DET
cana-1857	137	9	parameters	parameter	NOUN
cana-1857	137	10	of	of	ADP
cana-1857	137	11	the	the	DET
cana-1857	137	12	spectral	spectral	ADJ
cana-1857	137	13	subtraction	subtraction	NOUN
cana-1857	137	14	algorithm	algorithm	NOUN
cana-1857	137	15	are	be	AUX
cana-1857	137	16	fine	fine	ADV
cana-1857	137	17	-	-	PUNCT
cana-1857	137	18	tuned	tune	VERB
cana-1857	137	19	to	to	PART
cana-1857	137	20	minimize	minimize	VERB
cana-1857	137	21	e	e	NOUN
cana-1857	137	22	:	:	PUNCT
cana-1857	137	23	argminparameterse	argminparameterse	X
cana-1857	137	24	(	(	PUNCT
cana-1857	137	25	12	12	NUM
cana-1857	137	26	)	)	PUNCT
cana-1857	137	27	the	the	DET
cana-1857	137	28	overall	overall	ADJ
cana-1857	137	29	quality	quality	NOUN
cana-1857	137	30	q	q	NOUN
cana-1857	137	31	can	can	AUX
cana-1857	137	32	be	be	AUX
cana-1857	137	33	modeled	model	VERB
cana-1857	137	34	as	as	ADP
cana-1857	137	35	a	a	DET
cana-1857	137	36	function	function	NOUN
cana-1857	137	37	of	of	ADP
cana-1857	137	38	e	e	PROPN
cana-1857	137	39	and	and	CCONJ
cana-1857	137	40	other	other	ADJ
cana-1857	137	41	parameters	parameter	NOUN
cana-1857	137	42	p	p	X
cana-1857	137	43	:	:	PUNCT
cana-1857	137	44	q	q	NOUN
cana-1857	137	45	=	=	SYM
cana-1857	137	46	f	f	X
cana-1857	137	47	(	(	PUNCT
cana-1857	137	48	e	e	NOUN
cana-1857	137	49	,	,	PUNCT
cana-1857	137	50	p	p	NOUN
cana-1857	137	51	)	)	PUNCT
cana-1857	137	52	(	(	PUNCT
cana-1857	137	53	13	13	NUM
cana-1857	137	54	)	)	PUNCT
cana-1857	137	55	where	where	SCONJ
cana-1857	137	56	p	p	NOUN
cana-1857	137	57	includes	include	VERB
cana-1857	137	58	other	other	ADJ
cana-1857	137	59	factors	factor	NOUN
cana-1857	137	60	like	like	ADP
cana-1857	137	61	computational	computational	ADJ
cana-1857	137	62	efficiency	efficiency	NOUN
cana-1857	137	63	,	,	PUNCT
cana-1857	137	64	and	and	CCONJ
cana-1857	137	65	f	f	PROPN
cana-1857	137	66	is	be	AUX
cana-1857	137	67	a	a	DET
cana-1857	137	68	function	function	NOUN
cana-1857	137	69	that	that	PRON
cana-1857	137	70	balances	balance	VERB
cana-1857	137	71	these	these	DET
cana-1857	137	72	factors	factor	NOUN
cana-1857	137	73	.	.	PUNCT
cana-1857	138	1	2	2	X
cana-1857	138	2	)	)	PUNCT
cana-1857	138	3	voice	voice	NOUN
cana-1857	138	4	activity	activity	NOUN
cana-1857	138	5	detection	detection	NOUN
cana-1857	138	6	(	(	PUNCT
cana-1857	138	7	vad	vad	NOUN
cana-1857	138	8	):	):	PUNCT
cana-1857	138	9	given	give	VERB
cana-1857	138	10	that	that	SCONJ
cana-1857	138	11	the	the	DET
cana-1857	138	12	audio	audio	ADJ
cana-1857	138	13	stream	stream	NOUN
cana-1857	138	14	may	may	AUX
cana-1857	138	15	contain	contain	VERB
cana-1857	138	16	periods	period	NOUN
cana-1857	138	17	of	of	ADP
cana-1857	138	18	silence	silence	NOUN
cana-1857	138	19	or	or	CCONJ
cana-1857	138	20	irrelevant	irrelevant	ADJ
cana-1857	138	21	background	background	NOUN
cana-1857	138	22	noise	noise	NOUN
cana-1857	138	23	,	,	PUNCT
cana-1857	138	24	a	a	DET
cana-1857	138	25	voice	voice	NOUN
cana-1857	138	26	activity	activity	NOUN
cana-1857	138	27	detection	detection	NOUN
cana-1857	138	28	algorithm	algorithm	NOUN
cana-1857	138	29	is	be	AUX
cana-1857	138	30	implemented	implement	VERB
cana-1857	138	31	.	.	PUNCT
cana-1857	139	1	utilizing	utilize	VERB
cana-1857	139	2	a	a	DET
cana-1857	139	3	gaussian	gaussian	ADJ
cana-1857	139	4	mixture	mixture	NOUN
cana-1857	139	5	model	model	NOUN
cana-1857	139	6	(	(	PUNCT
cana-1857	139	7	gmm	gmm	PROPN
cana-1857	139	8	)	)	PUNCT
cana-1857	139	9	,	,	PUNCT
cana-1857	139	10	the	the	DET
cana-1857	139	11	algorithm	algorithm	NOUN
cana-1857	139	12	classifies	classify	VERB
cana-1857	139	13	each	each	DET
cana-1857	139	14	audio	audio	ADJ
cana-1857	139	15	frame	frame	NOUN
cana-1857	139	16	as	as	ADP
cana-1857	139	17	speech	speech	NOUN
cana-1857	139	18	or	or	CCONJ
cana-1857	139	19	non	non	NOUN
cana-1857	139	20	-	-	NOUN
cana-1857	139	21	speech	speech	NOUN
cana-1857	139	22	.	.	PUNCT
cana-1857	140	1	this	this	PRON
cana-1857	140	2	enables	enable	VERB
cana-1857	140	3	the	the	DET
cana-1857	140	4	system	system	NOUN
cana-1857	140	5	to	to	PART
cana-1857	140	6	focus	focus	VERB
cana-1857	140	7	solely	solely	ADV
cana-1857	140	8	on	on	ADP
cana-1857	140	9	the	the	DET
cana-1857	140	10	segments	segment	NOUN
cana-1857	140	11	containing	contain	VERB
cana-1857	140	12	spoken	speak	VERB
cana-1857	140	13	words	word	NOUN
cana-1857	140	14	,	,	PUNCT
cana-1857	140	15	thereby	thereby	ADV
cana-1857	140	16	enhancing	enhance	VERB
cana-1857	140	17	computational	computational	ADJ
cana-1857	140	18	efficiency	efficiency	NOUN
cana-1857	140	19	and	and	CCONJ
cana-1857	140	20	reducing	reduce	VERB
cana-1857	140	21	the	the	DET
cana-1857	140	22	risk	risk	NOUN
cana-1857	140	23	of	of	ADP
cana-1857	140	24	false	false	ADJ
cana-1857	140	25	transcriptions	transcription	NOUN
cana-1857	140	26	.	.	PUNCT
cana-1857	141	1	3	3	X
cana-1857	141	2	)	)	PUNCT
cana-1857	141	3	conversion	conversion	NOUN
cana-1857	141	4	algorithm	algorithm	NOUN
cana-1857	141	5	:	:	PUNCT
cana-1857	141	6	the	the	DET
cana-1857	141	7	core	core	NOUN
cana-1857	141	8	of	of	ADP
cana-1857	141	9	the	the	DET
cana-1857	141	10	stt	stt	PROPN
cana-1857	141	11	conversion	conversion	PROPN
cana-1857	141	12	process	process	NOUN
cana-1857	141	13	is	be	AUX
cana-1857	141	14	the	the	DET
cana-1857	141	15	automatic	automatic	ADJ
cana-1857	141	16	speech	speech	NOUN
cana-1857	141	17	recognition	recognition	NOUN
cana-1857	141	18	(	(	PUNCT
cana-1857	141	19	asr	asr	NOUN
cana-1857	141	20	)	)	PUNCT
cana-1857	141	21	algorithm	algorithm	NOUN
cana-1857	141	22	,	,	PUNCT
cana-1857	141	23	which	which	PRON
cana-1857	141	24	is	be	AUX
cana-1857	141	25	responsible	responsible	ADJ
cana-1857	141	26	for	for	ADP
cana-1857	141	27	transcribing	transcribe	VERB
cana-1857	141	28	the	the	DET
cana-1857	141	29	spoken	spoken	ADJ
cana-1857	141	30	words	word	NOUN
cana-1857	141	31	into	into	ADP
cana-1857	141	32	text.the	text.the	DET
cana-1857	141	33	asr	asr	NOUN
cana-1857	141	34	algorithm	algorithm	NOUN
cana-1857	141	35	employed	employ	VERB
cana-1857	141	36	in	in	ADP
cana-1857	141	37	this	this	DET
cana-1857	141	38	research	research	NOUN
cana-1857	141	39	is	be	AUX
cana-1857	141	40	built	build	VERB
cana-1857	141	41	upon	upon	SCONJ
cana-1857	141	42	long	long	ADJ
cana-1857	141	43	short	short	ADJ
cana-1857	141	44	-	-	PUNCT
cana-1857	141	45	term	term	NOUN
cana-1857	141	46	memory	memory	NOUN
cana-1857	141	47	(	(	PUNCT
cana-1857	141	48	lstm	lstm	NOUN
cana-1857	141	49	)	)	PUNCT
cana-1857	141	50	networks	network	NOUN
cana-1857	141	51	,	,	PUNCT
cana-1857	141	52	a	a	DET
cana-1857	141	53	type	type	NOUN
cana-1857	141	54	of	of	ADP
cana-1857	141	55	recurrent	recurrent	ADJ
cana-1857	141	56	neural	neural	ADJ
cana-1857	141	57	network	network	NOUN
cana-1857	141	58	that	that	PRON
cana-1857	141	59	excels	excel	VERB
cana-1857	141	60	in	in	ADP
cana-1857	141	61	sequence	sequence	NOUN
cana-1857	141	62	modeling	modeling	NOUN
cana-1857	141	63	tasks	task	NOUN
cana-1857	141	64	.	.	PUNCT
cana-1857	142	1	the	the	DET
cana-1857	142	2	lstm	lstm	PROPN
cana-1857	142	3	network	network	NOUN
cana-1857	142	4	is	be	AUX
cana-1857	142	5	trained	train	VERB
cana-1857	142	6	on	on	ADP
cana-1857	142	7	a	a	DET
cana-1857	142	8	large	large	ADJ
cana-1857	142	9	corpus	corpus	NOUN
cana-1857	142	10	of	of	ADP
cana-1857	142	11	educational	educational	ADJ
cana-1857	142	12	audio	audio	ADJ
cana-1857	142	13	data	datum	NOUN
cana-1857	142	14	to	to	PART
cana-1857	142	15	adapt	adapt	VERB
cana-1857	142	16	its	its	PRON
cana-1857	142	17	performance	performance	NOUN
cana-1857	142	18	to	to	ADP
cana-1857	142	19	the	the	DET
cana-1857	142	20	specific	specific	ADJ
cana-1857	142	21	nuances	nuance	NOUN
cana-1857	142	22	and	and	CCONJ
cana-1857	142	23	terminologies	terminology	NOUN
cana-1857	142	24	prevalent	prevalent	ADJ
cana-1857	142	25	in	in	ADP
cana-1857	142	26	academic	academic	ADJ
cana-1857	142	27	settings	setting	NOUN
cana-1857	142	28	.	.	PUNCT
cana-1857	143	1	the	the	DET
cana-1857	143	2	network	network	NOUN
cana-1857	143	3	architecture	architecture	NOUN
cana-1857	143	4	comprises	comprise	VERB
cana-1857	143	5	multiple	multiple	ADJ
cana-1857	143	6	layers	layer	NOUN
cana-1857	143	7	of	of	ADP
cana-1857	143	8	communications	communication	NOUN
cana-1857	143	9	on	on	ADP
cana-1857	143	10	applied	apply	VERB
cana-1857	143	11	nonlinear	nonlinear	ADJ
cana-1857	143	12	analysis	analysis	NOUN
cana-1857	143	13	issn	issn	NOUN
cana-1857	143	14	:	:	PUNCT
cana-1857	143	15	1074	1074	NUM
cana-1857	143	16	-	-	PUNCT
cana-1857	143	17	133x	133x	NUM
cana-1857	143	18	vol	vol	NOUN
cana-1857	143	19	32	32	NUM
cana-1857	143	20	no	no	NOUN
cana-1857	143	21	.	.	NOUN
cana-1857	143	22	2	2	NUM
cana-1857	143	23	(	(	PUNCT
cana-1857	143	24	2025	2025	NUM
cana-1857	143	25	)	)	PUNCT
cana-1857	143	26	617	617	NUM
cana-1857	143	27	https://internationalpubls.com	https://internationalpubls.com	X
cana-1857	143	28	lstm	lstm	NOUN
cana-1857	143	29	cells	cell	NOUN
cana-1857	143	30	,	,	PUNCT
cana-1857	143	31	each	each	DET
cana-1857	143	32	fine	fine	ADV
cana-1857	143	33	-	-	PUNCT
cana-1857	143	34	tuned	tune	VERB
cana-1857	143	35	to	to	PART
cana-1857	143	36	capture	capture	VERB
cana-1857	143	37	different	different	ADJ
cana-1857	143	38	aspects	aspect	NOUN
cana-1857	143	39	of	of	ADP
cana-1857	143	40	the	the	DET
cana-1857	143	41	audio	audio	ADJ
cana-1857	143	42	signal	signal	NOUN
cana-1857	143	43	,	,	PUNCT
cana-1857	143	44	such	such	ADJ
cana-1857	143	45	as	as	ADP
cana-1857	143	46	pitch	pitch	NOUN
cana-1857	143	47	,	,	PUNCT
cana-1857	143	48	tone	tone	NOUN
cana-1857	143	49	,	,	PUNCT
cana-1857	143	50	and	and	CCONJ
cana-1857	143	51	speed	speed	NOUN
cana-1857	143	52	.	.	PUNCT
cana-1857	144	1	an	an	DET
cana-1857	144	2	lstm	lstm	ADJ
cana-1857	144	3	cell	cell	NOUN
cana-1857	144	4	at	at	ADP
cana-1857	144	5	time	time	NOUN
cana-1857	144	6	t	t	PROPN
cana-1857	144	7	takes	take	VERB
cana-1857	144	8	an	an	DET
cana-1857	144	9	input	input	NOUN
cana-1857	144	10	xt	xt	ADP
cana-1857	144	11	,	,	PUNCT
cana-1857	144	12	a	a	DET
cana-1857	144	13	hidden	hidden	ADJ
cana-1857	144	14	state	state	NOUN
cana-1857	144	15	ht−1	ht−1	PROPN
cana-1857	144	16	,	,	PUNCT
cana-1857	144	17	and	and	CCONJ
cana-1857	144	18	a	a	DET
cana-1857	144	19	cell	cell	NOUN
cana-1857	144	20	state	state	NOUN
cana-1857	144	21	ct−1	ct−1	PROPN
cana-1857	144	22	,	,	PUNCT
cana-1857	144	23	and	and	CCONJ
cana-1857	144	24	produces	produce	VERB
cana-1857	144	25	an	an	DET
cana-1857	144	26	output	output	NOUN
cana-1857	144	27	ht	ht	NOUN
cana-1857	144	28	and	and	CCONJ
cana-1857	144	29	a	a	DET
cana-1857	144	30	new	new	ADJ
cana-1857	144	31	cell	cell	NOUN
cana-1857	144	32	state	state	NOUN
cana-1857	144	33	ct	ct	NOUN
cana-1857	144	34	:	:	PUNCT
cana-1857	144	35	(	(	PUNCT
cana-1857	144	36	ht	ht	INTJ
cana-1857	144	37	,	,	PUNCT
cana-1857	144	38	ct	ct	PROPN
cana-1857	144	39	)	)	PUNCT
cana-1857	144	40	=	=	SYM
cana-1857	144	41	lstm(xt	lstm(xt	NOUN
cana-1857	144	42	,	,	PUNCT
cana-1857	144	43	ht−1	ht−1	PROPN
cana-1857	144	44	,	,	PUNCT
cana-1857	144	45	ct−1	ct−1	PROPN
cana-1857	144	46	)	)	PUNCT
cana-1857	144	47	(	(	PUNCT
cana-1857	144	48	14	14	NUM
cana-1857	144	49	)	)	PUNCT
cana-1857	144	50	let	let	VERB
cana-1857	144	51	a	a	PRON
cana-1857	144	52	be	be	AUX
cana-1857	144	53	the	the	DET
cana-1857	144	54	accuracy	accuracy	NOUN
cana-1857	144	55	of	of	ADP
cana-1857	144	56	the	the	DET
cana-1857	144	57	asr	asr	PROPN
cana-1857	144	58	conversion	conversion	PROPN
cana-1857	144	59	.	.	PUNCT
cana-1857	145	1	a	a	PRON
cana-1857	145	2	can	can	AUX
cana-1857	145	3	be	be	AUX
cana-1857	145	4	modeled	model	VERB
cana-1857	145	5	as	as	ADP
cana-1857	145	6	a	a	DET
cana-1857	145	7	function	function	NOUN
cana-1857	145	8	of	of	ADP
cana-1857	145	9	the	the	DET
cana-1857	145	10	lstm	lstm	ADJ
cana-1857	145	11	parameters	parameter	NOUN
cana-1857	145	12	θ	θ	PROPN
cana-1857	145	13	and	and	CCONJ
cana-1857	145	14	other	other	ADJ
cana-1857	145	15	parameters	parameter	NOUN
cana-1857	146	1	p	p	X
cana-1857	146	2	:	:	PUNCT
cana-1857	146	3	a	a	PRON
cana-1857	146	4	=	=	X
cana-1857	146	5	f	f	X
cana-1857	146	6	(	(	PUNCT
cana-1857	146	7	θ	θ	PROPN
cana-1857	146	8	,	,	PUNCT
cana-1857	146	9	p	p	NOUN
cana-1857	146	10	)	)	PUNCT
cana-1857	146	11	(	(	PUNCT
cana-1857	146	12	16	16	NUM
cana-1857	146	13	)	)	PUNCT
cana-1857	146	14	the	the	DET
cana-1857	146	15	overall	overall	ADJ
cana-1857	146	16	quality	quality	NOUN
cana-1857	146	17	q	q	NOUN
cana-1857	146	18	can	can	AUX
cana-1857	146	19	be	be	AUX
cana-1857	146	20	modeled	model	VERB
cana-1857	146	21	as	as	ADP
cana-1857	146	22	a	a	DET
cana-1857	146	23	function	function	NOUN
cana-1857	146	24	of	of	ADP
cana-1857	146	25	a	a	DET
cana-1857	146	26	and	and	CCONJ
cana-1857	146	27	other	other	ADJ
cana-1857	146	28	parameters	parameter	NOUN
cana-1857	146	29	p	p	X
cana-1857	146	30	:	:	PUNCT
cana-1857	146	31	q	q	PROPN
cana-1857	146	32	=	=	SYM
cana-1857	146	33	g(a	g(a	PROPN
cana-1857	146	34	,	,	PUNCT
cana-1857	146	35	p	p	NOUN
cana-1857	146	36	)	)	PUNCT
cana-1857	146	37	(	(	PUNCT
cana-1857	146	38	17	17	NUM
cana-1857	146	39	)	)	PUNCT
cana-1857	146	40	where	where	SCONJ
cana-1857	146	41	g	g	PROPN
cana-1857	146	42	is	be	AUX
cana-1857	146	43	a	a	DET
cana-1857	146	44	function	function	NOUN
cana-1857	146	45	that	that	PRON
cana-1857	146	46	balances	balance	VERB
cana-1857	146	47	accuracy	accuracy	NOUN
cana-1857	146	48	with	with	ADP
cana-1857	146	49	other	other	ADJ
cana-1857	146	50	factors	factor	NOUN
cana-1857	146	51	like	like	ADP
cana-1857	146	52	computational	computational	ADJ
cana-1857	146	53	efficiency	efficiency	NOUN
cana-1857	146	54	.	.	PUNCT
cana-1857	147	1	4	4	X
cana-1857	147	2	)	)	PUNCT
cana-1857	147	3	confidence	confidence	NOUN
cana-1857	147	4	scoring	scoring	NOUN
cana-1857	147	5	:	:	PUNCT
cana-1857	147	6	a	a	DET
cana-1857	147	7	critical	critical	ADJ
cana-1857	147	8	aspect	aspect	NOUN
cana-1857	147	9	of	of	ADP
cana-1857	147	10	the	the	DET
cana-1857	147	11	stt	stt	PROPN
cana-1857	147	12	conversion	conversion	PROPN
cana-1857	147	13	process	process	NOUN
cana-1857	147	14	is	be	AUX
cana-1857	147	15	the	the	DET
cana-1857	147	16	assignment	assignment	NOUN
cana-1857	147	17	of	of	ADP
cana-1857	147	18	confidence	confidence	NOUN
cana-1857	147	19	scores	score	NOUN
cana-1857	147	20	to	to	ADP
cana-1857	147	21	the	the	DET
cana-1857	147	22	transcribed	transcribe	VERB
cana-1857	147	23	text	text	NOUN
cana-1857	147	24	.	.	PUNCT
cana-1857	148	1	each	each	DET
cana-1857	148	2	transcribed	transcribe	VERB
cana-1857	148	3	word	word	NOUN
cana-1857	148	4	is	be	AUX
cana-1857	148	5	accompanied	accompany	VERB
cana-1857	148	6	by	by	ADP
cana-1857	148	7	a	a	DET
cana-1857	148	8	confidence	confidence	NOUN
cana-1857	148	9	score	score	NOUN
cana-1857	148	10	,	,	PUNCT
cana-1857	148	11	generated	generate	VERB
cana-1857	148	12	by	by	ADP
cana-1857	148	13	the	the	DET
cana-1857	148	14	asr	asr	PROPN
cana-1857	148	15	algorithm	algorithm	NOUN
cana-1857	148	16	.	.	PUNCT
cana-1857	149	1	these	these	DET
cana-1857	149	2	scores	score	NOUN
cana-1857	149	3	serve	serve	VERB
cana-1857	149	4	as	as	ADP
cana-1857	149	5	a	a	DET
cana-1857	149	6	probabilistic	probabilistic	ADJ
cana-1857	149	7	measure	measure	NOUN
cana-1857	149	8	of	of	ADP
cana-1857	149	9	the	the	DET
cana-1857	149	10	transcription	transcription	NOUN
cana-1857	149	11	’s	’s	PART
cana-1857	149	12	accuracy	accuracy	NOUN
cana-1857	149	13	.	.	PUNCT
cana-1857	150	1	a	a	DET
cana-1857	150	2	threshold	threshold	NOUN
cana-1857	150	3	confidence	confidence	NOUN
cana-1857	150	4	score	score	NOUN
cana-1857	150	5	is	be	AUX
cana-1857	150	6	empirically	empirically	ADV
cana-1857	150	7	determined	determine	VERB
cana-1857	150	8	through	through	ADP
cana-1857	150	9	crossvalidation	crossvalidation	NOUN
cana-1857	150	10	to	to	PART
cana-1857	150	11	filter	filter	VERB
cana-1857	150	12	out	out	ADP
cana-1857	150	13	low	low	ADJ
cana-1857	150	14	-	-	PUNCT
cana-1857	150	15	confidence	confidence	NOUN
cana-1857	150	16	transcriptions	transcription	NOUN
cana-1857	150	17	,	,	PUNCT
cana-1857	150	18	thereby	thereby	ADV
cana-1857	150	19	enhancing	enhance	VERB
cana-1857	150	20	the	the	DET
cana-1857	150	21	reliability	reliability	NOUN
cana-1857	150	22	of	of	ADP
cana-1857	150	23	the	the	DET
cana-1857	150	24	dataset	dataset	NOUN
cana-1857	150	25	.	.	PUNCT
cana-1857	151	1	this	this	DET
cana-1857	151	2	mechanism	mechanism	NOUN
cana-1857	151	3	plays	play	VERB
cana-1857	151	4	a	a	DET
cana-1857	151	5	pivotal	pivotal	ADJ
cana-1857	151	6	role	role	NOUN
cana-1857	151	7	in	in	ADP
cana-1857	151	8	ensuring	ensure	VERB
cana-1857	151	9	that	that	SCONJ
cana-1857	151	10	the	the	DET
cana-1857	151	11	sentiment	sentiment	NOUN
cana-1857	151	12	analysis	analysis	NOUN
cana-1857	151	13	is	be	AUX
cana-1857	151	14	conducted	conduct	VERB
cana-1857	151	15	on	on	ADP
cana-1857	151	16	high	high	ADJ
cana-1857	151	17	-	-	PUNCT
cana-1857	151	18	quality	quality	NOUN
cana-1857	151	19	,	,	PUNCT
cana-1857	151	20	accurate	accurate	ADJ
cana-1857	151	21	transcriptions	transcription	NOUN
cana-1857	151	22	.	.	PUNCT
cana-1857	152	1	a	a	DET
cana-1857	152	2	critical	critical	ADJ
cana-1857	152	3	aspect	aspect	NOUN
cana-1857	152	4	of	of	ADP
cana-1857	152	5	the	the	DET
cana-1857	152	6	stt	stt	PROPN
cana-1857	152	7	conversion	conversion	PROPN
cana-1857	152	8	process	process	NOUN
cana-1857	152	9	is	be	AUX
cana-1857	152	10	the	the	DET
cana-1857	152	11	assignment	assignment	NOUN
cana-1857	152	12	of	of	ADP
cana-1857	152	13	confidence	confidence	NOUN
cana-1857	152	14	scores	score	NOUN
cana-1857	152	15	to	to	ADP
cana-1857	152	16	the	the	DET
cana-1857	152	17	transcribed	transcribe	VERB
cana-1857	152	18	text	text	NOUN
cana-1857	152	19	.	.	PUNCT
cana-1857	153	1	to	to	PART
cana-1857	153	2	quantify	quantify	VERB
cana-1857	153	3	the	the	DET
cana-1857	153	4	reliability	reliability	NOUN
cana-1857	153	5	and	and	CCONJ
cana-1857	153	6	effectiveness	effectiveness	NOUN
cana-1857	153	7	of	of	ADP
cana-1857	153	8	these	these	DET
cana-1857	153	9	confidence	confidence	NOUN
cana-1857	153	10	scores	score	NOUN
cana-1857	153	11	,	,	PUNCT
cana-1857	153	12	we	we	PRON
cana-1857	153	13	introduce	introduce	VERB
cana-1857	153	14	the	the	DET
cana-1857	153	15	following	follow	VERB
cana-1857	153	16	metrics	metric	NOUN
cana-1857	153	17	and	and	CCONJ
cana-1857	153	18	equations	equation	NOUN
cana-1857	153	19	.	.	PUNCT
cana-1857	154	1	c.	c.	PROPN
cana-1857	154	2	lexicon	lexicon	PROPN
cana-1857	154	3	-	-	PUNCT
cana-1857	154	4	based	base	VERB
cana-1857	154	5	sentiment	sentiment	NOUN
cana-1857	154	6	scoring	score	VERB
cana-1857	154	7	the	the	DET
cana-1857	154	8	sentiment	sentiment	NOUN
cana-1857	154	9	scoring	score	VERB
cana-1857	154	10	via	via	ADP
cana-1857	154	11	lexicon	lexicon	NOUN
cana-1857	154	12	-	-	PUNCT
cana-1857	154	13	based	base	VERB
cana-1857	154	14	approach	approach	NOUN
cana-1857	154	15	module	module	NOUN
cana-1857	154	16	acts	act	VERB
cana-1857	154	17	as	as	ADP
cana-1857	154	18	a	a	DET
cana-1857	154	19	critical	critical	ADJ
cana-1857	154	20	element	element	NOUN
cana-1857	154	21	in	in	ADP
cana-1857	154	22	our	our	PRON
cana-1857	154	23	research	research	NOUN
cana-1857	154	24	framework	framework	NOUN
cana-1857	154	25	.	.	PUNCT
cana-1857	155	1	this	this	DET
cana-1857	155	2	module	module	NOUN
cana-1857	155	3	is	be	AUX
cana-1857	155	4	n’t	not	PART
cana-1857	155	5	merely	merely	ADV
cana-1857	155	6	a	a	DET
cana-1857	155	7	preliminary	preliminary	ADJ
cana-1857	155	8	layer	layer	NOUN
cana-1857	155	9	for	for	ADP
cana-1857	155	10	sentiment	sentiment	NOUN
cana-1857	155	11	categorization	categorization	NOUN
cana-1857	155	12	but	but	CCONJ
cana-1857	155	13	a	a	DET
cana-1857	155	14	sophisticated	sophisticated	ADJ
cana-1857	155	15	system	system	NOUN
cana-1857	155	16	that	that	PRON
cana-1857	155	17	collaborates	collaborate	VERB
cana-1857	155	18	with	with	ADP
cana-1857	155	19	machine	machine	NOUN
cana-1857	155	20	learning	learn	VERB
cana-1857	155	21	algorithms	algorithm	NOUN
cana-1857	155	22	to	to	PART
cana-1857	155	23	offer	offer	VERB
cana-1857	155	24	a	a	DET
cana-1857	155	25	more	more	ADV
cana-1857	155	26	intricate	intricate	ADJ
cana-1857	155	27	sentiment	sentiment	NOUN
cana-1857	155	28	analysis	analysis	NOUN
cana-1857	155	29	.	.	PUNCT
cana-1857	156	1	this	this	DET
cana-1857	156	2	section	section	NOUN
cana-1857	156	3	explores	explore	VERB
cana-1857	156	4	the	the	DET
cana-1857	156	5	methodologies	methodology	NOUN
cana-1857	156	6	,	,	PUNCT
cana-1857	156	7	algorithms	algorithm	NOUN
cana-1857	156	8	,	,	PUNCT
cana-1857	156	9	and	and	CCONJ
cana-1857	156	10	computational	computational	ADJ
cana-1857	156	11	strategies	strategy	NOUN
cana-1857	156	12	that	that	PRON
cana-1857	156	13	make	make	VERB
cana-1857	156	14	up	up	ADP
cana-1857	156	15	our	our	PRON
cana-1857	156	16	lexicon	lexicon	NOUN
cana-1857	156	17	-	-	PUNCT
cana-1857	156	18	driven	drive	VERB
cana-1857	156	19	sentiment	sentiment	NOUN
cana-1857	156	20	scoring	scoring	NOUN
cana-1857	156	21	module	module	NOUN
cana-1857	156	22	.	.	PUNCT
cana-1857	157	1	in	in	ADP
cana-1857	157	2	this	this	DET
cana-1857	157	3	segment	segment	NOUN
cana-1857	157	4	,	,	PUNCT
cana-1857	157	5	we	we	PRON
cana-1857	157	6	will	will	AUX
cana-1857	157	7	delve	delve	VERB
cana-1857	157	8	into	into	ADP
cana-1857	157	9	the	the	DET
cana-1857	157	10	methodologies	methodology	NOUN
cana-1857	157	11	,	,	PUNCT
cana-1857	157	12	algorithms	algorithm	NOUN
cana-1857	157	13	,	,	PUNCT
cana-1857	157	14	and	and	CCONJ
cana-1857	157	15	computational	computational	ADJ
cana-1857	157	16	strategies	strategy	NOUN
cana-1857	157	17	that	that	PRON
cana-1857	157	18	comprise	comprise	VERB
cana-1857	157	19	our	our	PRON
cana-1857	157	20	lexicon	lexicon	NOUN
cana-1857	157	21	-	-	PUNCT
cana-1857	157	22	focused	focus	VERB
cana-1857	157	23	sentiment	sentiment	NOUN
cana-1857	157	24	analysis	analysis	NOUN
cana-1857	157	25	unit	unit	NOUN
cana-1857	157	26	.	.	PUNCT
cana-1857	158	1	this	this	DET
cana-1857	158	2	unit	unit	NOUN
cana-1857	158	3	plays	play	VERB
cana-1857	158	4	a	a	DET
cana-1857	158	5	vital	vital	ADJ
cana-1857	158	6	role	role	NOUN
cana-1857	158	7	in	in	ADP
cana-1857	158	8	our	our	PRON
cana-1857	158	9	overarching	overarching	ADJ
cana-1857	158	10	research	research	NOUN
cana-1857	158	11	structure	structure	NOUN
cana-1857	158	12	.	.	PUNCT
cana-1857	159	1	to	to	PART
cana-1857	159	2	evaluate	evaluate	VERB
cana-1857	159	3	the	the	DET
cana-1857	159	4	intricacies	intricacy	NOUN
cana-1857	159	5	and	and	CCONJ
cana-1857	159	6	effectiveness	effectiveness	NOUN
cana-1857	159	7	of	of	ADP
cana-1857	159	8	this	this	DET
cana-1857	159	9	unit	unit	NOUN
cana-1857	159	10	,	,	PUNCT
cana-1857	159	11	we	we	PRON
cana-1857	159	12	employ	employ	VERB
cana-1857	159	13	various	various	ADJ
cana-1857	159	14	metrics	metric	NOUN
cana-1857	159	15	and	and	CCONJ
cana-1857	159	16	mathematical	mathematical	ADJ
cana-1857	159	17	formulas	formula	NOUN
cana-1857	159	18	.	.	PUNCT
cana-1857	160	1	key	key	ADJ
cana-1857	160	2	aspects	aspect	NOUN
cana-1857	160	3	include	include	VERB
cana-1857	160	4	selecting	select	VERB
cana-1857	160	5	an	an	DET
cana-1857	160	6	appropriate	appropriate	ADJ
cana-1857	160	7	lexicon	lexicon	NOUN
cana-1857	160	8	,	,	PUNCT
cana-1857	160	9	implementing	implement	VERB
cana-1857	160	10	sentiment	sentiment	NOUN
cana-1857	160	11	scoring	scoring	NOUN
cana-1857	160	12	algorithms	algorithm	NOUN
cana-1857	160	13	,	,	PUNCT
cana-1857	160	14	and	and	CCONJ
cana-1857	160	15	employing	employ	VERB
cana-1857	160	16	data	datum	NOUN
cana-1857	160	17	normalization	normalization	NOUN
cana-1857	160	18	techniques	technique	NOUN
cana-1857	160	19	.	.	PUNCT
cana-1857	161	1	let	let	VERB
cana-1857	161	2	’s	’s	NOUN
cana-1857	161	3	represent	represent	VERB
cana-1857	161	4	the	the	DET
cana-1857	161	5	lexicon	lexicon	NOUN
cana-1857	161	6	set	set	NOUN
cana-1857	161	7	as	as	ADP
cana-1857	161	8	n	n	PROPN
cana-1857	161	9	,	,	PUNCT
cana-1857	161	10	which	which	PRON
cana-1857	161	11	consists	consist	VERB
cana-1857	161	12	of	of	ADP
cana-1857	161	13	n	n	PRON
cana-1857	161	14	terms	term	NOUN
cana-1857	161	15	that	that	PRON
cana-1857	161	16	each	each	PRON
cana-1857	161	17	have	have	VERB
cana-1857	161	18	an	an	DET
cana-1857	161	19	associated	associated	ADJ
cana-1857	161	20	emotional	emotional	ADJ
cana-1857	161	21	rating	rating	NOUN
cana-1857	161	22	s	s	NOUN
cana-1857	161	23	:	:	PUNCT
cana-1857	161	24	n	n	PROPN
cana-1857	161	25	=	=	SYM
cana-1857	161	26	{	{	PUNCT
cana-1857	161	27	(	(	PUNCT
cana-1857	161	28	q1	q1	PROPN
cana-1857	161	29	,	,	PUNCT
cana-1857	161	30	s1	s1	NOUN
cana-1857	161	31	)	)	PUNCT
cana-1857	161	32	,	,	PUNCT
cana-1857	161	33	(	(	PUNCT
cana-1857	161	34	q2	q2	NOUN
cana-1857	161	35	,	,	PUNCT
cana-1857	161	36	s2	s2	PROPN
cana-1857	161	37	)	)	PUNCT
cana-1857	161	38	,	,	PUNCT
cana-1857	161	39	.	.	PUNCT
cana-1857	161	40	.	.	PUNCT
cana-1857	162	1	.	.	PUNCT
cana-1857	163	1	,	,	PUNCT
cana-1857	163	2	(	(	PUNCT
cana-1857	163	3	qn	qn	INTJ
cana-1857	163	4	,	,	PUNCT
cana-1857	163	5	sn	sn	NOUN
cana-1857	163	6	)	)	PUNCT
cana-1857	163	7	}	}	PUNCT
cana-1857	163	8	(	(	PUNCT
cana-1857	163	9	22	22	NUM
cana-1857	163	10	)	)	PUNCT
cana-1857	163	11	communications	communication	NOUN
cana-1857	163	12	on	on	ADP
cana-1857	163	13	applied	apply	VERB
cana-1857	163	14	nonlinear	nonlinear	ADJ
cana-1857	163	15	analysis	analysis	NOUN
cana-1857	163	16	issn	issn	NOUN
cana-1857	163	17	:	:	PUNCT
cana-1857	163	18	1074	1074	NUM
cana-1857	163	19	-	-	PUNCT
cana-1857	163	20	133x	133x	NUM
cana-1857	163	21	vol	vol	NOUN
cana-1857	163	22	32	32	NUM
cana-1857	163	23	no	no	NOUN
cana-1857	163	24	.	.	NOUN
cana-1857	163	25	2	2	NUM
cana-1857	163	26	(	(	PUNCT
cana-1857	163	27	2025	2025	NUM
cana-1857	163	28	)	)	PUNCT
cana-1857	163	29	618	618	NUM
cana-1857	163	30	https://internationalpubls.com	https://internationalpubls.com	X
cana-1857	163	31	σ	σ	NOUN
cana-1857	164	1	this	this	DET
cana-1857	164	2	equation	equation	NOUN
cana-1857	164	3	defines	define	VERB
cana-1857	164	4	the	the	DET
cana-1857	164	5	lexicon	lexicon	NOUN
cana-1857	164	6	set	set	NOUN
cana-1857	164	7	,	,	PUNCT
cana-1857	164	8	where	where	SCONJ
cana-1857	164	9	each	each	DET
cana-1857	164	10	term	term	NOUN
cana-1857	164	11	q	q	NOUN
cana-1857	164	12	is	be	AUX
cana-1857	164	13	paired	pair	VERB
cana-1857	164	14	with	with	ADP
cana-1857	164	15	an	an	DET
cana-1857	164	16	emotional	emotional	ADJ
cana-1857	164	17	rating	rating	NOUN
cana-1857	164	18	s	s	PROPN
cana-1857	164	19	,	,	PUNCT
cana-1857	164	20	which	which	PRON
cana-1857	164	21	can	can	AUX
cana-1857	164	22	be	be	AUX
cana-1857	164	23	categorized	categorize	VERB
cana-1857	164	24	as	as	ADP
cana-1857	164	25	positive	positive	ADJ
cana-1857	164	26	,	,	PUNCT
cana-1857	164	27	negative	negative	ADJ
cana-1857	164	28	,	,	PUNCT
cana-1857	164	29	or	or	CCONJ
cana-1857	164	30	neutral	neutral	ADJ
cana-1857	164	31	.	.	PUNCT
cana-1857	165	1	this	this	DET
cana-1857	165	2	lexicon	lexicon	NOUN
cana-1857	165	3	set	set	NOUN
cana-1857	165	4	lays	lay	VERB
cana-1857	165	5	the	the	DET
cana-1857	165	6	groundwork	groundwork	NOUN
cana-1857	165	7	for	for	ADP
cana-1857	165	8	our	our	PRON
cana-1857	165	9	sentiment	sentiment	NOUN
cana-1857	165	10	analysis	analysis	NOUN
cana-1857	165	11	algorithms	algorithm	NOUN
cana-1857	165	12	,	,	PUNCT
cana-1857	165	13	enabling	enable	VERB
cana-1857	165	14	a	a	DET
cana-1857	165	15	more	more	ADV
cana-1857	165	16	nuanced	nuanced	ADJ
cana-1857	165	17	evaluation	evaluation	NOUN
cana-1857	165	18	of	of	ADP
cana-1857	165	19	student	student	NOUN
cana-1857	165	20	feedback	feedback	NOUN
cana-1857	165	21	.	.	PUNCT
cana-1857	166	1	let	let	VERB
cana-1857	166	2	wdf(m	wdf(m	PROPN
cana-1857	166	3	,	,	PUNCT
cana-1857	166	4	n	n	CCONJ
cana-1857	166	5	,	,	PUNCT
cana-1857	166	6	o	o	NOUN
cana-1857	166	7	)	)	PUNCT
cana-1857	166	8	be	be	VERB
cana-1857	166	9	the	the	DET
cana-1857	166	10	weighted	weighted	ADJ
cana-1857	166	11	document	document	NOUN
cana-1857	166	12	frequency	frequency	NOUN
cana-1857	166	13	of	of	ADP
cana-1857	166	14	term	term	NOUN
cana-1857	166	15	m	m	VERB
cana-1857	166	16	in	in	ADP
cana-1857	166	17	document	document	NOUN
cana-1857	166	18	n	n	CCONJ
cana-1857	166	19	within	within	ADP
cana-1857	166	20	the	the	DET
cana-1857	166	21	corpus	corpus	NOUN
cana-1857	166	22	o	o	NOUN
cana-1857	166	23	:	:	PUNCT
cana-1857	166	24	wdf(m	wdf(m	PROPN
cana-1857	166	25	,	,	PUNCT
cana-1857	166	26	n	n	CCONJ
cana-1857	166	27	,	,	PUNCT
cana-1857	166	28	o	o	NOUN
cana-1857	166	29	)	)	PUNCT
cana-1857	166	30	=	=	SYM
cana-1857	166	31	wf(m	wf(m	X
cana-1857	166	32	,	,	PUNCT
cana-1857	166	33	n	n	CCONJ
cana-1857	166	34	)	)	PUNCT
cana-1857	166	35	×	×	NOUN
cana-1857	166	36	df(m	df(m	NOUN
cana-1857	166	37	,	,	PUNCT
cana-1857	166	38	o	o	NOUN
cana-1857	166	39	)	)	PUNCT
cana-1857	166	40	(	(	PUNCT
cana-1857	166	41	23	23	NUM
cana-1857	166	42	)	)	PUNCT
cana-1857	166	43	idf(w	idf(w	PROPN
cana-1857	166	44	,	,	PUNCT
cana-1857	166	45	d	d	NOUN
cana-1857	166	46	)	)	PUNCT
cana-1857	166	47	=	=	VERB
cana-1857	167	1	log	log	PROPN
cana-1857	167	2	|d|	|d|	PROPN
cana-1857	167	3	(	(	PUNCT
cana-1857	167	4	24	24	NUM
cana-1857	167	5	)	)	PUNCT
cana-1857	167	6	|d	|d	NOUN
cana-1857	168	1	∈	∈	NOUN
cana-1857	168	2	d	d	X
cana-1857	168	3	:	:	PUNCT
cana-1857	168	4	w	w	PROPN
cana-1857	168	5	∈	∈	PROPN
cana-1857	168	6	d|	d|	PROPN
cana-1857	168	7	the	the	DET
cana-1857	168	8	polarity	polarity	NOUN
cana-1857	168	9	p	p	NOUN
cana-1857	168	10	(	(	PUNCT
cana-1857	168	11	d	d	NOUN
cana-1857	168	12	)	)	PUNCT
cana-1857	168	13	of	of	ADP
cana-1857	168	14	a	a	DET
cana-1857	168	15	document	document	NOUN
cana-1857	169	1	d	d	NOUN
cana-1857	169	2	is	be	AUX
cana-1857	169	3	determined	determine	VERB
cana-1857	169	4	as	as	ADP
cana-1857	169	5	:	:	PUNCT
cana-1857	169	6	p	p	X
cana-1857	169	7	(	(	PUNCT
cana-1857	169	8	d	d	NOUN
cana-1857	169	9	)	)	PUNCT
cana-1857	170	1	=	=	SYM
cana-1857	170	2	tfidf(w	tfidf(w	PROPN
cana-1857	170	3	,	,	PUNCT
cana-1857	170	4	d	d	NOUN
cana-1857	170	5	,	,	PUNCT
cana-1857	170	6	d	d	NOUN
cana-1857	170	7	)	)	PUNCT
cana-1857	170	8	×	×	PROPN
cana-1857	170	9	p(w	p(w	PROPN
cana-1857	170	10	)	)	PUNCT
cana-1857	170	11	(	(	PUNCT
cana-1857	170	12	25	25	NUM
cana-1857	170	13	)	)	PUNCT
cana-1857	170	14	w∈d	w∈d	VERB
cana-1857	170	15	the	the	DET
cana-1857	170	16	overall	overall	ADJ
cana-1857	170	17	quality	quality	NOUN
cana-1857	170	18	q	q	NOUN
cana-1857	170	19	can	can	AUX
cana-1857	170	20	be	be	AUX
cana-1857	170	21	modeled	model	VERB
cana-1857	170	22	as	as	ADP
cana-1857	170	23	a	a	DET
cana-1857	170	24	function	function	NOUN
cana-1857	170	25	of	of	ADP
cana-1857	170	26	p	p	NOUN
cana-1857	170	27	′(d	′(d	NOUN
cana-1857	170	28	)	)	PUNCT
cana-1857	170	29	and	and	CCONJ
cana-1857	170	30	other	other	ADJ
cana-1857	170	31	parameters	parameter	NOUN
cana-1857	170	32	p	p	X
cana-1857	170	33	:	:	PUNCT
cana-1857	170	34	q	q	NOUN
cana-1857	170	35	=	=	SYM
cana-1857	170	36	f	f	X
cana-1857	170	37	(	(	PUNCT
cana-1857	170	38	p	p	NOUN
cana-1857	170	39	′(d	′(d	NOUN
cana-1857	170	40	)	)	PUNCT
cana-1857	170	41	,	,	PUNCT
cana-1857	170	42	p	p	NOUN
cana-1857	170	43	)	)	PUNCT
cana-1857	170	44	(	(	PUNCT
cana-1857	170	45	26	26	NUM
cana-1857	170	46	)	)	PUNCT
cana-1857	170	47	where	where	SCONJ
cana-1857	170	48	f	f	PROPN
cana-1857	170	49	is	be	AUX
cana-1857	170	50	a	a	DET
cana-1857	170	51	function	function	NOUN
cana-1857	170	52	that	that	PRON
cana-1857	170	53	that	that	PRON
cana-1857	170	54	harmonizes	harmonize	VERB
cana-1857	170	55	the	the	DET
cana-1857	170	56	dataset	dataset	NOUN
cana-1857	170	57	’s	’s	PART
cana-1857	170	58	reliability	reliability	NOUN
cana-1857	170	59	with	with	ADP
cana-1857	170	60	other	other	ADJ
cana-1857	170	61	factors	factor	NOUN
cana-1857	170	62	like	like	ADP
cana-1857	170	63	computational	computational	ADJ
cana-1857	170	64	efficiency	efficiency	NOUN
cana-1857	170	65	.	.	PUNCT
cana-1857	171	1	1	1	NUM
cana-1857	171	2	)	)	PUNCT
cana-1857	171	3	lexicon	lexicon	NOUN
cana-1857	171	4	selection	selection	NOUN
cana-1857	171	5	:	:	PUNCT
cana-1857	171	6	the	the	DET
cana-1857	171	7	lexicon	lexicon	NOUN
cana-1857	171	8	serves	serve	VERB
cana-1857	171	9	as	as	ADP
cana-1857	171	10	the	the	DET
cana-1857	171	11	foundational	foundational	ADJ
cana-1857	171	12	element	element	NOUN
cana-1857	171	13	upon	upon	SCONJ
cana-1857	171	14	which	which	PRON
cana-1857	171	15	the	the	DET
cana-1857	171	16	sentiment	sentiment	NOUN
cana-1857	171	17	scoring	score	VERB
cana-1857	171	18	algorithm	algorithm	NOUN
cana-1857	171	19	operates	operate	VERB
cana-1857	171	20	(	(	PUNCT
cana-1857	171	21	21	21	NUM
cana-1857	171	22	)	)	PUNCT
cana-1857	171	23	.	.	PUNCT
cana-1857	172	1	for	for	ADP
cana-1857	172	2	this	this	DET
cana-1857	172	3	research	research	NOUN
cana-1857	172	4	,	,	PUNCT
cana-1857	172	5	we	we	PRON
cana-1857	172	6	have	have	AUX
cana-1857	172	7	implemented	implement	VERB
cana-1857	172	8	the	the	DET
cana-1857	172	9	”	"	PUNCT
cana-1857	172	10	educational	educational	ADJ
cana-1857	172	11	sentiment	sentiment	NOUN
cana-1857	172	12	lexicon	lexicon	NOUN
cana-1857	172	13	”	"	PUNCT
cana-1857	172	14	(	(	PUNCT
cana-1857	172	15	esl	esl	PROPN
cana-1857	172	16	)	)	PUNCT
cana-1857	172	17	,	,	PUNCT
cana-1857	172	18	a	a	DET
cana-1857	172	19	custom	custom	ADV
cana-1857	172	20	-	-	PUNCT
cana-1857	172	21	built	build	VERB
cana-1857	172	22	,	,	PUNCT
cana-1857	172	23	domain	domain	NOUN
cana-1857	172	24	-	-	PUNCT
cana-1857	172	25	specific	specific	ADJ
cana-1857	172	26	lexicon	lexicon	NOUN
cana-1857	172	27	tailored	tailor	VERB
cana-1857	172	28	for	for	ADP
cana-1857	172	29	educational	educational	ADJ
cana-1857	172	30	settings	setting	NOUN
cana-1857	172	31	.	.	PUNCT
cana-1857	173	1	the	the	DET
cana-1857	173	2	esl	esl	PROPN
cana-1857	173	3	is	be	AUX
cana-1857	173	4	a	a	DET
cana-1857	173	5	culmination	culmination	NOUN
cana-1857	173	6	of	of	ADP
cana-1857	173	7	rigorous	rigorous	ADJ
cana-1857	173	8	linguistic	linguistic	ADJ
cana-1857	173	9	analysis	analysis	NOUN
cana-1857	173	10	and	and	CCONJ
cana-1857	173	11	domain	domain	NOUN
cana-1857	173	12	expertise	expertise	NOUN
cana-1857	173	13	.	.	PUNCT
cana-1857	174	1	it	it	PRON
cana-1857	174	2	is	be	AUX
cana-1857	174	3	constructed	construct	VERB
cana-1857	174	4	based	base	VERB
cana-1857	174	5	on	on	ADP
cana-1857	174	6	a	a	DET
cana-1857	174	7	corpus	corpus	NOUN
cana-1857	174	8	of	of	ADP
cana-1857	174	9	over	over	ADP
cana-1857	174	10	10,000	10,000	NUM
cana-1857	174	11	academic	academic	ADJ
cana-1857	174	12	reviews	review	NOUN
cana-1857	174	13	and	and	CCONJ
cana-1857	174	14	feedback	feedback	NOUN
cana-1857	174	15	,	,	PUNCT
cana-1857	174	16	each	each	DET
cana-1857	174	17	term	term	NOUN
cana-1857	174	18	in	in	ADP
cana-1857	174	19	the	the	DET
cana-1857	174	20	lexicon	lexicon	NOUN
cana-1857	174	21	is	be	AUX
cana-1857	174	22	manually	manually	ADV
cana-1857	174	23	annotated	annotate	VERB
cana-1857	174	24	for	for	ADP
cana-1857	174	25	its	its	PRON
cana-1857	174	26	sentiment	sentiment	NOUN
cana-1857	174	27	polarity	polarity	NOUN
cana-1857	174	28	by	by	ADP
cana-1857	174	29	a	a	DET
cana-1857	174	30	panel	panel	NOUN
cana-1857	174	31	of	of	ADP
cana-1857	174	32	educational	educational	ADJ
cana-1857	174	33	experts	expert	NOUN
cana-1857	174	34	.	.	PUNCT
cana-1857	175	1	the	the	DET
cana-1857	175	2	lexicon	lexicon	NOUN
cana-1857	175	3	also	also	ADV
cana-1857	175	4	incorporates	incorporate	VERB
cana-1857	175	5	semantic	semantic	ADJ
cana-1857	175	6	and	and	CCONJ
cana-1857	175	7	syntactic	syntactic	ADJ
cana-1857	175	8	relationships	relationship	NOUN
cana-1857	175	9	between	between	ADP
cana-1857	175	10	terms	term	NOUN
cana-1857	175	11	,	,	PUNCT
cana-1857	175	12	identified	identify	VERB
cana-1857	175	13	through	through	ADP
cana-1857	175	14	techniques	technique	NOUN
cana-1857	175	15	like	like	ADP
cana-1857	175	16	latent	latent	NOUN
cana-1857	175	17	semantic	semantic	ADJ
cana-1857	175	18	analysis	analysis	NOUN
cana-1857	175	19	(	(	PUNCT
cana-1857	175	20	lsa	lsa	NOUN
cana-1857	175	21	)	)	PUNCT
cana-1857	175	22	and	and	CCONJ
cana-1857	175	23	syntactic	syntactic	ADJ
cana-1857	175	24	parsing	parsing	NOUN
cana-1857	175	25	.	.	PUNCT
cana-1857	176	1	the	the	DET
cana-1857	176	2	esl	esl	PROPN
cana-1857	176	3	undergoes	undergo	VERB
cana-1857	176	4	several	several	ADJ
cana-1857	176	5	iterations	iteration	NOUN
cana-1857	176	6	of	of	ADP
cana-1857	176	7	refinement	refinement	NOUN
cana-1857	176	8	,	,	PUNCT
cana-1857	176	9	each	each	DET
cana-1857	176	10	time	time	NOUN
cana-1857	176	11	incorporating	incorporate	VERB
cana-1857	176	12	feedback	feedback	NOUN
cana-1857	176	13	from	from	ADP
cana-1857	176	14	pilot	pilot	NOUN
cana-1857	176	15	studies	study	NOUN
cana-1857	176	16	and	and	CCONJ
cana-1857	176	17	leveraging	leverage	VERB
cana-1857	176	18	advanced	advanced	ADJ
cana-1857	176	19	natural	natural	ADJ
cana-1857	176	20	language	language	NOUN
cana-1857	176	21	processing	processing	NOUN
cana-1857	176	22	techniques	technique	NOUN
cana-1857	176	23	to	to	PART
cana-1857	176	24	identify	identify	VERB
cana-1857	176	25	semantic	semantic	ADJ
cana-1857	176	26	relationships	relationship	NOUN
cana-1857	176	27	and	and	CCONJ
cana-1857	176	28	contextual	contextual	ADJ
cana-1857	176	29	relevance	relevance	NOUN
cana-1857	176	30	.	.	PUNCT
cana-1857	177	1	2	2	X
cana-1857	177	2	)	)	PUNCT
cana-1857	177	3	scoring	scoring	NOUN
cana-1857	177	4	algorithm	algorithm	NOUN
cana-1857	177	5	:	:	PUNCT
cana-1857	177	6	the	the	DET
cana-1857	177	7	scoring	scoring	NOUN
cana-1857	177	8	algorithm	algorithm	NOUN
cana-1857	177	9	is	be	AUX
cana-1857	177	10	the	the	DET
cana-1857	177	11	computational	computational	ADJ
cana-1857	177	12	engine	engine	NOUN
cana-1857	177	13	that	that	PRON
cana-1857	177	14	translates	translate	VERB
cana-1857	177	15	the	the	DET
cana-1857	177	16	lexicon	lexicon	NOUN
cana-1857	177	17	into	into	ADP
cana-1857	177	18	actionable	actionable	ADJ
cana-1857	177	19	sentiment	sentiment	NOUN
cana-1857	177	20	scores	score	NOUN
cana-1857	177	21	.	.	PUNCT
cana-1857	178	1	our	our	PRON
cana-1857	178	2	algorithm	algorithm	NOUN
cana-1857	178	3	employs	employ	VERB
cana-1857	178	4	a	a	DET
cana-1857	178	5	multi	multi	ADJ
cana-1857	178	6	-	-	ADJ
cana-1857	178	7	faceted	faceted	ADJ
cana-1857	178	8	approach	approach	NOUN
cana-1857	178	9	.	.	PUNCT
cana-1857	179	1	term	term	NOUN
cana-1857	179	2	frequency	frequency	NOUN
cana-1857	179	3	-	-	PUNCT
cana-1857	179	4	inverse	inverse	NOUN
cana-1857	179	5	document	document	NOUN
cana-1857	179	6	frequency	frequency	NOUN
cana-1857	179	7	(	(	PUNCT
cana-1857	179	8	tf	tf	PROPN
cana-1857	179	9	-	-	PUNCT
cana-1857	179	10	idf	idf	NOUN
cana-1857	179	11	)	)	PUNCT
cana-1857	179	12	,	,	PUNCT
cana-1857	179	13	the	the	DET
cana-1857	179	14	tf	tf	PROPN
cana-1857	179	15	-	-	PUNCT
cana-1857	179	16	idf	idf	PROPN
cana-1857	179	17	algorithm	algorithm	NOUN
cana-1857	179	18	is	be	AUX
cana-1857	179	19	utilized	utilize	VERB
cana-1857	179	20	to	to	PART
cana-1857	179	21	weigh	weigh	VERB
cana-1857	179	22	the	the	DET
cana-1857	179	23	importance	importance	NOUN
cana-1857	179	24	of	of	ADP
cana-1857	179	25	each	each	DET
cana-1857	179	26	term	term	NOUN
cana-1857	179	27	in	in	ADP
cana-1857	179	28	the	the	DET
cana-1857	179	29	feedback	feedback	NOUN
cana-1857	179	30	(	(	PUNCT
cana-1857	179	31	22	22	NUM
cana-1857	179	32	)	)	PUNCT
cana-1857	179	33	.	.	PUNCT
cana-1857	180	1	this	this	DET
cana-1857	180	2	algorithm	algorithm	NOUN
cana-1857	180	3	is	be	AUX
cana-1857	180	4	implemented	implement	VERB
cana-1857	180	5	using	use	VERB
cana-1857	180	6	a	a	DET
cana-1857	180	7	sparse	sparse	ADJ
cana-1857	180	8	matrix	matrix	NOUN
cana-1857	180	9	representation	representation	NOUN
cana-1857	180	10	,	,	PUNCT
cana-1857	180	11	optimized	optimize	VERB
cana-1857	180	12	for	for	ADP
cana-1857	180	13	computational	computational	ADJ
cana-1857	180	14	efficiency	efficiency	NOUN
cana-1857	180	15	.	.	PUNCT
cana-1857	181	1	the	the	DET
cana-1857	181	2	tf	tf	PROPN
cana-1857	181	3	-	-	PUNCT
cana-1857	181	4	idf	idf	PROPN
cana-1857	181	5	scores	score	NOUN
cana-1857	181	6	are	be	AUX
cana-1857	181	7	not	not	PART
cana-1857	181	8	merely	merely	ADV
cana-1857	181	9	calculated	calculate	VERB
cana-1857	181	10	but	but	CCONJ
cana-1857	181	11	are	be	AUX
cana-1857	181	12	also	also	ADV
cana-1857	181	13	adjusted	adjust	VERB
cana-1857	181	14	for	for	ADP
cana-1857	181	15	term	term	NOUN
cana-1857	181	16	relevance	relevance	NOUN
cana-1857	181	17	using	use	VERB
cana-1857	181	18	a	a	DET
cana-1857	181	19	sigmoid	sigmoid	NOUN
cana-1857	181	20	activation	activation	NOUN
cana-1857	181	21	function	function	NOUN
cana-1857	181	22	,	,	PUNCT
cana-1857	181	23	thereby	thereby	ADV
cana-1857	181	24	adding	add	VERB
cana-1857	181	25	an	an	DET
cana-1857	181	26	additional	additional	ADJ
cana-1857	181	27	layer	layer	NOUN
cana-1857	181	28	of	of	ADP
cana-1857	181	29	sophistication	sophistication	NOUN
cana-1857	181	30	to	to	ADP
cana-1857	181	31	the	the	DET
cana-1857	181	32	term	term	NOUN
cana-1857	181	33	weighting	weighting	NOUN
cana-1857	181	34	process	process	NOUN
cana-1857	181	35	.	.	PUNCT
cana-1857	182	1	3	3	X
cana-1857	182	2	)	)	PUNCT
cana-1857	182	3	polarity	polarity	NOUN
cana-1857	182	4	calculation	calculation	NOUN
cana-1857	182	5	:	:	PUNCT
cana-1857	182	6	the	the	DET
cana-1857	182	7	polarity	polarity	NOUN
cana-1857	182	8	of	of	ADP
cana-1857	182	9	each	each	DET
cana-1857	182	10	piece	piece	NOUN
cana-1857	182	11	of	of	ADP
cana-1857	182	12	feedback	feedback	NOUN
cana-1857	182	13	is	be	AUX
cana-1857	182	14	computed	compute	VERB
cana-1857	182	15	through	through	ADP
cana-1857	182	16	a	a	DET
cana-1857	182	17	weighted	weight	VERB
cana-1857	182	18	summation	summation	NOUN
cana-1857	182	19	of	of	ADP
cana-1857	182	20	individual	individual	ADJ
cana-1857	182	21	word	word	NOUN
cana-1857	182	22	polarities	polarity	NOUN
cana-1857	182	23	,	,	PUNCT
cana-1857	182	24	as	as	SCONJ
cana-1857	182	25	defined	define	VERB
cana-1857	182	26	in	in	ADP
cana-1857	182	27	the	the	DET
cana-1857	182	28	esl	esl	PROPN
cana-1857	182	29	.	.	PUNCT
cana-1857	183	1	each	each	DET
cana-1857	183	2	term	term	NOUN
cana-1857	183	3	’s	’s	PART
cana-1857	183	4	polarity	polarity	NOUN
cana-1857	183	5	score	score	NOUN
cana-1857	183	6	is	be	AUX
cana-1857	183	7	multiplied	multiply	VERB
cana-1857	183	8	by	by	ADP
cana-1857	183	9	its	its	PRON
cana-1857	183	10	corresponding	corresponding	ADJ
cana-1857	183	11	tf	tf	PROPN
cana-1857	183	12	-	-	PUNCT
cana-1857	183	13	idf	idf	PROPN
cana-1857	183	14	weight	weight	NOUN
cana-1857	183	15	,	,	PUNCT
cana-1857	183	16	and	and	CCONJ
cana-1857	183	17	these	these	DET
cana-1857	183	18	products	product	NOUN
cana-1857	183	19	are	be	AUX
cana-1857	183	20	summed	sum	VERB
cana-1857	183	21	to	to	PART
cana-1857	183	22	produce	produce	VERB
cana-1857	183	23	an	an	DET
cana-1857	183	24	aggregate	aggregate	ADJ
cana-1857	183	25	polarity	polarity	NOUN
cana-1857	183	26	score	score	NOUN
cana-1857	183	27	for	for	ADP
cana-1857	183	28	the	the	DET
cana-1857	183	29	entire	entire	ADJ
cana-1857	183	30	feedback	feedback	NOUN
cana-1857	183	31	.	.	PUNCT
cana-1857	184	1	this	this	DET
cana-1857	184	2	process	process	NOUN
cana-1857	184	3	is	be	AUX
cana-1857	184	4	further	far	ADV
cana-1857	184	5	refined	refine	VERB
cana-1857	184	6	by	by	ADP
cana-1857	184	7	incorporating	incorporate	VERB
cana-1857	184	8	contextual	contextual	ADJ
cana-1857	184	9	polarity	polarity	NOUN
cana-1857	184	10	shifts	shift	NOUN
cana-1857	184	11	identified	identify	VERB
cana-1857	184	12	through	through	ADP
cana-1857	184	13	dependency	dependency	NOUN
cana-1857	184	14	parsing	parsing	NOUN
cana-1857	184	15	,	,	PUNCT
cana-1857	184	16	thereby	thereby	ADV
cana-1857	184	17	capturing	capture	VERB
cana-1857	184	18	the	the	DET
cana-1857	184	19	nuances	nuance	NOUN
cana-1857	184	20	of	of	ADP
cana-1857	184	21	negations	negation	NOUN
cana-1857	184	22	and	and	CCONJ
cana-1857	184	23	amplifiers	amplifier	NOUN
cana-1857	184	24	.	.	PUNCT
cana-1857	185	1	communications	communication	NOUN
cana-1857	185	2	on	on	ADP
cana-1857	185	3	applied	apply	VERB
cana-1857	185	4	nonlinear	nonlinear	ADJ
cana-1857	185	5	analysis	analysis	NOUN
cana-1857	185	6	issn	issn	NOUN
cana-1857	185	7	:	:	PUNCT
cana-1857	185	8	1074	1074	NUM
cana-1857	185	9	-	-	PUNCT
cana-1857	185	10	133x	133x	NUM
cana-1857	185	11	vol	vol	NOUN
cana-1857	185	12	32	32	NUM
cana-1857	185	13	no	no	NOUN
cana-1857	185	14	.	.	NOUN
cana-1857	185	15	2	2	NUM
cana-1857	185	16	(	(	PUNCT
cana-1857	185	17	2025	2025	NUM
cana-1857	185	18	)	)	PUNCT
cana-1857	185	19	619	619	NUM
cana-1857	186	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1857	186	2	σ	σ	PROPN
cana-1857	186	3	t	t	PROPN
cana-1857	186	4	t	t	PROPN
cana-1857	186	5	4	4	NUM
cana-1857	186	6	)	)	PUNCT
cana-1857	186	7	normalization	normalization	NOUN
cana-1857	186	8	:	:	PUNCT
cana-1857	186	9	the	the	DET
cana-1857	186	10	aggregate	aggregate	ADJ
cana-1857	186	11	polarity	polarity	NOUN
cana-1857	186	12	scores	score	NOUN
cana-1857	186	13	are	be	AUX
cana-1857	186	14	normalized	normalize	VERB
cana-1857	186	15	using	use	VERB
cana-1857	186	16	z	z	NOUN
cana-1857	186	17	-	-	PUNCT
cana-1857	186	18	score	score	NOUN
cana-1857	186	19	normalization	normalization	NOUN
cana-1857	186	20	.	.	PUNCT
cana-1857	187	1	this	this	DET
cana-1857	187	2	technique	technique	NOUN
cana-1857	187	3	adjusts	adjust	VERB
cana-1857	187	4	the	the	DET
cana-1857	187	5	scores	score	NOUN
cana-1857	187	6	based	base	VERB
cana-1857	187	7	on	on	ADP
cana-1857	187	8	their	their	PRON
cana-1857	187	9	mean	mean	ADJ
cana-1857	187	10	and	and	CCONJ
cana-1857	187	11	standard	standard	ADJ
cana-1857	187	12	deviation	deviation	NOUN
cana-1857	187	13	,	,	PUNCT
cana-1857	187	14	thereby	thereby	ADV
cana-1857	187	15	enabling	enable	VERB
cana-1857	187	16	a	a	DET
cana-1857	187	17	more	more	ADV
cana-1857	187	18	nuanced	nuanced	ADJ
cana-1857	187	19	comparison	comparison	NOUN
cana-1857	187	20	between	between	ADP
cana-1857	187	21	different	different	ADJ
cana-1857	187	22	pieces	piece	NOUN
cana-1857	187	23	of	of	ADP
cana-1857	187	24	feedback	feedback	NOUN
cana-1857	187	25	.	.	PUNCT
cana-1857	188	1	the	the	DET
cana-1857	188	2	normalization	normalization	NOUN
cana-1857	188	3	parameters	parameter	NOUN
cana-1857	188	4	are	be	AUX
cana-1857	188	5	not	not	PART
cana-1857	188	6	static	static	ADJ
cana-1857	188	7	but	but	CCONJ
cana-1857	188	8	are	be	AUX
cana-1857	188	9	dynamically	dynamically	ADV
cana-1857	188	10	adjusted	adjust	VERB
cana-1857	188	11	using	use	VERB
cana-1857	188	12	an	an	DET
cana-1857	188	13	online	online	ADJ
cana-1857	188	14	algorithm	algorithm	NOUN
cana-1857	188	15	,	,	PUNCT
cana-1857	188	16	thereby	thereby	ADV
cana-1857	188	17	allowing	allow	VERB
cana-1857	188	18	the	the	DET
cana-1857	188	19	system	system	NOUN
cana-1857	188	20	to	to	PART
cana-1857	188	21	adapt	adapt	VERB
cana-1857	188	22	to	to	ADP
cana-1857	188	23	new	new	ADJ
cana-1857	188	24	data	datum	NOUN
cana-1857	188	25	.	.	PUNCT
cana-1857	189	1	by	by	ADP
cana-1857	189	2	integrating	integrate	VERB
cana-1857	189	3	these	these	DET
cana-1857	189	4	advanced	advanced	ADJ
cana-1857	189	5	techniques	technique	NOUN
cana-1857	189	6	,	,	PUNCT
cana-1857	189	7	the	the	DET
cana-1857	189	8	scoring	scoring	NOUN
cana-1857	189	9	algorithm	algorithm	NOUN
cana-1857	189	10	achieves	achieve	VERB
cana-1857	189	11	a	a	DET
cana-1857	189	12	high	high	ADJ
cana-1857	189	13	level	level	NOUN
cana-1857	189	14	of	of	ADP
cana-1857	189	15	accuracy	accuracy	NOUN
cana-1857	189	16	and	and	CCONJ
cana-1857	189	17	granularity	granularity	NOUN
cana-1857	189	18	in	in	ADP
cana-1857	189	19	sentiment	sentiment	NOUN
cana-1857	189	20	classification	classification	NOUN
cana-1857	189	21	.	.	PUNCT
cana-1857	190	1	moreover	moreover	ADV
cana-1857	190	2	,	,	PUNCT
cana-1857	190	3	the	the	DET
cana-1857	190	4	algorithm	algorithm	NOUN
cana-1857	190	5	is	be	AUX
cana-1857	190	6	implemented	implement	VERB
cana-1857	190	7	in	in	ADP
cana-1857	190	8	a	a	DET
cana-1857	190	9	parallelized	parallelize	VERB
cana-1857	190	10	fashion	fashion	NOUN
cana-1857	190	11	,	,	PUNCT
cana-1857	190	12	leveraging	leverage	VERB
cana-1857	190	13	multi	multi	ADJ
cana-1857	190	14	-	-	ADJ
cana-1857	190	15	threading	threading	ADJ
cana-1857	190	16	and	and	CCONJ
cana-1857	190	17	batch	batch	VERB
cana-1857	190	18	processing	processing	NOUN
cana-1857	190	19	to	to	PART
cana-1857	190	20	achieve	achieve	VERB
cana-1857	190	21	real	real	ADJ
cana-1857	190	22	-	-	PUNCT
cana-1857	190	23	time	time	NOUN
cana-1857	190	24	performance	performance	NOUN
cana-1857	190	25	,	,	PUNCT
cana-1857	190	26	a	a	DET
cana-1857	190	27	critical	critical	ADJ
cana-1857	190	28	requirement	requirement	NOUN
cana-1857	190	29	for	for	ADP
cana-1857	190	30	the	the	DET
cana-1857	190	31	real	real	ADJ
cana-1857	190	32	-	-	PUNCT
cana-1857	190	33	time	time	NOUN
cana-1857	190	34	analysis	analysis	NOUN
cana-1857	190	35	of	of	ADP
cana-1857	190	36	spoken	spoken	ADJ
cana-1857	190	37	feedback	feedback	NOUN
cana-1857	190	38	.	.	PUNCT
cana-1857	191	1	the	the	DET
cana-1857	191	2	scoring	scoring	NOUN
cana-1857	191	3	algorithm	algorithm	NOUN
cana-1857	191	4	is	be	AUX
cana-1857	191	5	the	the	DET
cana-1857	191	6	computational	computational	ADJ
cana-1857	191	7	engine	engine	NOUN
cana-1857	191	8	that	that	PRON
cana-1857	191	9	translates	translate	VERB
cana-1857	191	10	the	the	DET
cana-1857	191	11	lexicon	lexicon	NOUN
cana-1857	191	12	into	into	ADP
cana-1857	191	13	actionable	actionable	ADJ
cana-1857	191	14	sentiment	sentiment	NOUN
cana-1857	191	15	scores	score	NOUN
cana-1857	191	16	.	.	PUNCT
cana-1857	192	1	to	to	PART
cana-1857	192	2	quantify	quantify	VERB
cana-1857	192	3	the	the	DET
cana-1857	192	4	intricacies	intricacy	NOUN
cana-1857	192	5	and	and	CCONJ
cana-1857	192	6	effectiveness	effectiveness	NOUN
cana-1857	192	7	of	of	ADP
cana-1857	192	8	this	this	DET
cana-1857	192	9	module	module	NOUN
cana-1857	192	10	,	,	PUNCT
cana-1857	192	11	we	we	PRON
cana-1857	192	12	introduce	introduce	VERB
cana-1857	192	13	the	the	DET
cana-1857	192	14	following	follow	VERB
cana-1857	192	15	metrics	metric	NOUN
cana-1857	192	16	and	and	CCONJ
cana-1857	192	17	equations	equation	NOUN
cana-1857	192	18	.	.	PUNCT
cana-1857	193	1	let	let	VERB
cana-1857	193	2	tfidfsigmoid(w	tfidfsigmoid(w	ADP
cana-1857	193	3	,	,	PUNCT
cana-1857	193	4	d	d	PROPN
cana-1857	193	5	,	,	PUNCT
cana-1857	193	6	d	d	NOUN
cana-1857	193	7	)	)	PUNCT
cana-1857	193	8	be	be	AUX
cana-1857	193	9	the	the	DET
cana-1857	193	10	sigmoid	sigmoid	NOUN
cana-1857	193	11	-	-	PUNCT
cana-1857	193	12	adjusted	adjust	VERB
cana-1857	193	13	tf	tf	PROPN
cana-1857	193	14	-	-	PUNCT
cana-1857	193	15	idf	idf	PROPN
cana-1857	193	16	score	score	NOUN
cana-1857	193	17	of	of	ADP
cana-1857	193	18	word	word	NOUN
cana-1857	193	19	w	w	NOUN
cana-1857	193	20	in	in	ADP
cana-1857	193	21	document	document	NOUN
cana-1857	193	22	d	d	NOUN
cana-1857	193	23	and	and	CCONJ
cana-1857	193	24	document	document	NOUN
cana-1857	194	1	set	set	ADJ
cana-1857	194	2	d	d	NOUN
cana-1857	194	3	:	:	PUNCT
cana-1857	194	4	tfidfsigmoid(w	tfidfsigmoid(w	PROPN
cana-1857	194	5	,	,	PUNCT
cana-1857	194	6	d	d	PROPN
cana-1857	194	7	,	,	PUNCT
cana-1857	194	8	d	d	NOUN
cana-1857	194	9	)	)	PUNCT
cana-1857	194	10	=	=	SYM
cana-1857	194	11	1	1	NUM
cana-1857	194	12	1	1	NUM
cana-1857	194	13	+	+	NUM
cana-1857	194	14	e−tfidf(w	e−tfidf(w	PROPN
cana-1857	194	15	,	,	PUNCT
cana-1857	194	16	d	d	X
cana-1857	194	17	,	,	PUNCT
cana-1857	194	18	d	d	NOUN
cana-1857	194	19	)	)	PUNCT
cana-1857	194	20	(	(	PUNCT
cana-1857	194	21	27	27	NUM
cana-1857	194	22	)	)	PUNCT
cana-1857	194	23	let	let	VERB
cana-1857	194	24	c(w	c(w	PROPN
cana-1857	194	25	)	)	PUNCT
cana-1857	194	26	be	be	AUX
cana-1857	194	27	the	the	DET
cana-1857	194	28	contextual	contextual	ADJ
cana-1857	194	29	polarity	polarity	NOUN
cana-1857	194	30	shift	shift	NOUN
cana-1857	194	31	for	for	ADP
cana-1857	194	32	word	word	NOUN
cana-1857	194	33	w	w	NOUN
cana-1857	194	34	,	,	PUNCT
cana-1857	195	1	then	then	ADV
cana-1857	195	2	the	the	DET
cana-1857	195	3	polarity	polarity	NOUN
cana-1857	195	4	p	p	NOUN
cana-1857	195	5	(	(	PUNCT
cana-1857	195	6	d	d	NOUN
cana-1857	195	7	)	)	PUNCT
cana-1857	195	8	of	of	ADP
cana-1857	195	9	a	a	DET
cana-1857	195	10	document	document	NOUN
cana-1857	195	11	d	d	NOUN
cana-1857	195	12	is	be	AUX
cana-1857	195	13	:	:	PUNCT
cana-1857	195	14	p	p	X
cana-1857	195	15	(	(	PUNCT
cana-1857	195	16	d	d	NOUN
cana-1857	195	17	)	)	PUNCT
cana-1857	195	18	=	=	SYM
cana-1857	195	19	(	(	PUNCT
cana-1857	195	20	tfidfsigmoid(w	tfidfsigmoid(w	PROPN
cana-1857	195	21	,	,	PUNCT
cana-1857	195	22	d	d	PROPN
cana-1857	195	23	,	,	PUNCT
cana-1857	195	24	d	d	NOUN
cana-1857	195	25	)	)	PUNCT
cana-1857	195	26	×	×	PROPN
cana-1857	195	27	p(w	p(w	PROPN
cana-1857	195	28	)	)	PUNCT
cana-1857	195	29	×	×	NOUN
cana-1857	195	30	c(w	c(w	PROPN
cana-1857	195	31	)	)	PUNCT
cana-1857	195	32	)	)	PUNCT
cana-1857	196	1	(	(	PUNCT
cana-1857	196	2	28	28	X
cana-1857	196	3	)	)	PUNCT
cana-1857	196	4	w∈d	w∈d	NOUN
cana-1857	196	5	let	let	VERB
cana-1857	196	6	µt	µt	PRON
cana-1857	196	7	and	and	CCONJ
cana-1857	196	8	σt	σt	AUX
cana-1857	196	9	be	be	AUX
cana-1857	196	10	the	the	DET
cana-1857	196	11	dynamically	dynamically	ADV
cana-1857	196	12	adjusted	adjust	VERB
cana-1857	196	13	mean	mean	ADJ
cana-1857	196	14	and	and	CCONJ
cana-1857	196	15	standard	standard	ADJ
cana-1857	196	16	deviation	deviation	NOUN
cana-1857	196	17	at	at	ADP
cana-1857	196	18	time	time	NOUN
cana-1857	196	19	t	t	PROPN
cana-1857	196	20	,	,	PUNCT
cana-1857	196	21	then	then	ADV
cana-1857	196	22	the	the	DET
cana-1857	196	23	normalized	normalize	VERB
cana-1857	196	24	polarity	polarity	NOUN
cana-1857	196	25	p	p	NOUN
cana-1857	196	26	′(d	′(d	NOUN
cana-1857	196	27	,	,	PUNCT
cana-1857	196	28	t	t	PROPN
cana-1857	196	29	)	)	PUNCT
cana-1857	196	30	is	be	AUX
cana-1857	196	31	:	:	PUNCT
cana-1857	196	32	p	p	NOUN
cana-1857	196	33	′(d	′(d	NOUN
cana-1857	196	34	,	,	PUNCT
cana-1857	196	35	t	t	NOUN
cana-1857	196	36	)	)	PUNCT
cana-1857	196	37	=	=	SYM
cana-1857	197	1	p	p	X
cana-1857	197	2	(	(	PUNCT
cana-1857	197	3	d	d	NOUN
cana-1857	197	4	)	)	PUNCT
cana-1857	197	5	−	−	NOUN
cana-1857	197	6	µt	µt	INTJ
cana-1857	197	7	σt	σt	ADP
cana-1857	197	8	(	(	PUNCT
cana-1857	197	9	29	29	NUM
cana-1857	197	10	)	)	PUNCT
cana-1857	197	11	µt+1	µt+1	NUM
cana-1857	197	12	=	=	SYM
cana-1857	197	13	αµt	αµt	PROPN
cana-1857	198	1	+	+	CCONJ
cana-1857	198	2	(	(	PUNCT
cana-1857	198	3	1	1	NUM
cana-1857	198	4	−	−	NOUN
cana-1857	198	5	α)p	α)p	NOUN
cana-1857	198	6	(	(	PUNCT
cana-1857	198	7	d	d	X
cana-1857	198	8	)	)	PUNCT
cana-1857	198	9	(	(	PUNCT
cana-1857	198	10	30	30	NUM
cana-1857	198	11	)	)	PUNCT
cana-1857	198	12	σt+1	σt+1	NOUN
cana-1857	199	1	=	=	NOUN
cana-1857	199	2	q	q	NOUN
cana-1857	199	3	ασ2	ασ2	NOUN
cana-1857	199	4	+	+	CCONJ
cana-1857	199	5	(	(	PUNCT
cana-1857	199	6	1	1	NUM
cana-1857	199	7	−	−	NOUN
cana-1857	199	8	α)(p	α)(p	NUM
cana-1857	199	9	(	(	PUNCT
cana-1857	199	10	d	d	NOUN
cana-1857	199	11	)	)	PUNCT
cana-1857	199	12	−	−	NOUN
cana-1857	199	13	µt+1)2	µt+1)2	NUM
cana-1857	199	14	(	(	PUNCT
cana-1857	199	15	31	31	NUM
cana-1857	199	16	)	)	PUNCT
cana-1857	199	17	where	where	SCONJ
cana-1857	199	18	α	α	NOUN
cana-1857	199	19	is	be	AUX
cana-1857	199	20	the	the	DET
cana-1857	199	21	learning	learning	NOUN
cana-1857	199	22	rate	rate	NOUN
cana-1857	199	23	for	for	ADP
cana-1857	199	24	dynamic	dynamic	ADJ
cana-1857	199	25	adjustment	adjustment	NOUN
cana-1857	199	26	.	.	PUNCT
cana-1857	200	1	let	let	VERB
cana-1857	200	2	t	t	NOUN
cana-1857	200	3	be	be	AUX
cana-1857	200	4	the	the	DET
cana-1857	200	5	total	total	ADJ
cana-1857	200	6	time	time	NOUN
cana-1857	200	7	for	for	ADP
cana-1857	200	8	processing	processing	NOUN
cana-1857	200	9	n	n	DET
cana-1857	200	10	documents	document	NOUN
cana-1857	200	11	,	,	PUNCT
cana-1857	200	12	then	then	ADV
cana-1857	200	13	the	the	DET
cana-1857	200	14	real	real	ADJ
cana-1857	200	15	-	-	PUNCT
cana-1857	200	16	time	time	NOUN
cana-1857	200	17	performance	performance	NOUN
cana-1857	200	18	r	r	NOUN
cana-1857	200	19	is	be	AUX
cana-1857	200	20	:	:	PUNCT
cana-1857	200	21	r	r	NOUN
cana-1857	200	22	=	=	SYM
cana-1857	200	23	n	n	PROPN
cana-1857	200	24	(	(	PUNCT
cana-1857	200	25	32	32	NUM
cana-1857	200	26	)	)	PUNCT
cana-1857	200	27	t	t	NOUN
cana-1857	200	28	communications	communication	NOUN
cana-1857	200	29	on	on	ADP
cana-1857	200	30	applied	apply	VERB
cana-1857	200	31	nonlinear	nonlinear	ADJ
cana-1857	200	32	analysis	analysis	NOUN
cana-1857	200	33	issn	issn	NOUN
cana-1857	200	34	:	:	PUNCT
cana-1857	200	35	1074	1074	NUM
cana-1857	200	36	-	-	PUNCT
cana-1857	200	37	133x	133x	NUM
cana-1857	200	38	vol	vol	NOUN
cana-1857	200	39	32	32	NUM
cana-1857	200	40	no	no	NOUN
cana-1857	200	41	.	.	NOUN
cana-1857	200	42	2	2	NUM
cana-1857	200	43	(	(	PUNCT
cana-1857	200	44	2025	2025	NUM
cana-1857	200	45	)	)	PUNCT
cana-1857	200	46	620	620	NUM
cana-1857	200	47	https://internationalpubls.com	https://internationalpubls.com	X
cana-1857	200	48	4	4	NUM
cana-1857	200	49	.	.	PUNCT
cana-1857	200	50	experimental	experimental	ADJ
cana-1857	200	51	setup	setup	NOUN
cana-1857	200	52	a.	a.	NOUN
cana-1857	200	53	hardware	hardware	NOUN
cana-1857	200	54	configuration	configuration	NOUN
cana-1857	200	55	the	the	DET
cana-1857	200	56	hardware	hardware	NOUN
cana-1857	200	57	setup	setup	NOUN
cana-1857	200	58	is	be	AUX
cana-1857	200	59	designed	design	VERB
cana-1857	200	60	to	to	PART
cana-1857	200	61	offer	offer	VERB
cana-1857	200	62	a	a	DET
cana-1857	200	63	cost	cost	NOUN
cana-1857	200	64	-	-	PUNCT
cana-1857	200	65	effective	effective	ADJ
cana-1857	200	66	yet	yet	ADV
cana-1857	200	67	powerful	powerful	ADJ
cana-1857	200	68	solution	solution	NOUN
cana-1857	200	69	for	for	ADP
cana-1857	200	70	machine	machine	NOUN
cana-1857	200	71	learning	learn	VERB
cana-1857	200	72	research	research	NOUN
cana-1857	200	73	.	.	PUNCT
cana-1857	201	1	the	the	DET
cana-1857	201	2	system	system	NOUN
cana-1857	201	3	employs	employ	VERB
cana-1857	201	4	a	a	DET
cana-1857	201	5	consumer	consumer	NOUN
cana-1857	201	6	-	-	PUNCT
cana-1857	201	7	grade	grade	NOUN
cana-1857	201	8	gpu	gpu	NOUN
cana-1857	201	9	,	,	PUNCT
cana-1857	201	10	specifically	specifically	ADV
cana-1857	201	11	an	an	DET
cana-1857	201	12	nvidia	nvidia	PROPN
cana-1857	201	13	geforce	geforce	NOUN
cana-1857	201	14	rtx	rtx	PROPN
cana-1857	201	15	3060	3060	NUM
cana-1857	201	16	,	,	PUNCT
cana-1857	201	17	which	which	PRON
cana-1857	201	18	offers	offer	VERB
cana-1857	201	19	12	12	NUM
cana-1857	201	20	gb	gb	NOUN
cana-1857	201	21	of	of	ADP
cana-1857	201	22	gddr6	gddr6	NOUN
cana-1857	201	23	memory	memory	NOUN
cana-1857	201	24	.	.	PUNCT
cana-1857	202	1	this	this	DET
cana-1857	202	2	gpu	gpu	NOUN
cana-1857	202	3	provides	provide	VERB
cana-1857	202	4	a	a	DET
cana-1857	202	5	good	good	ADJ
cana-1857	202	6	balance	balance	NOUN
cana-1857	202	7	between	between	ADP
cana-1857	202	8	computational	computational	ADJ
cana-1857	202	9	power	power	NOUN
cana-1857	202	10	and	and	CCONJ
cana-1857	202	11	cost	cost	NOUN
cana-1857	202	12	,	,	PUNCT
cana-1857	202	13	making	make	VERB
cana-1857	202	14	it	it	PRON
cana-1857	202	15	suitable	suitable	ADJ
cana-1857	202	16	for	for	ADP
cana-1857	202	17	medium	medium	ADJ
cana-1857	202	18	-	-	PUNCT
cana-1857	202	19	scale	scale	NOUN
cana-1857	202	20	machine	machine	NOUN
cana-1857	202	21	learning	learning	NOUN
cana-1857	202	22	tasks	task	NOUN
cana-1857	202	23	.	.	PUNCT
cana-1857	203	1	the	the	DET
cana-1857	203	2	cpu	cpu	NOUN
cana-1857	203	3	is	be	AUX
cana-1857	203	4	an	an	DET
cana-1857	203	5	amd	amd	ADJ
cana-1857	203	6	ryzen	ryzen	ADJ
cana-1857	203	7	7	7	NUM
cana-1857	203	8	3700x	3700x	NUM
cana-1857	203	9	,	,	PUNCT
cana-1857	203	10	an	an	DET
cana-1857	203	11	8	8	NUM
cana-1857	203	12	-	-	PUNCT
cana-1857	203	13	core	core	NOUN
cana-1857	203	14	,	,	PUNCT
cana-1857	203	15	16	16	NUM
cana-1857	203	16	-	-	PUNCT
cana-1857	203	17	thread	thread	NOUN
cana-1857	203	18	processor	processor	NOUN
cana-1857	203	19	that	that	PRON
cana-1857	203	20	offers	offer	VERB
cana-1857	203	21	excellent	excellent	ADJ
cana-1857	203	22	multithreading	multithreade	VERB
cana-1857	203	23	capabilities	capability	NOUN
cana-1857	203	24	essential	essential	ADJ
cana-1857	203	25	for	for	ADP
cana-1857	203	26	data	data	NOUN
cana-1857	203	27	preprocessing	preprocessing	NOUN
cana-1857	203	28	and	and	CCONJ
cana-1857	203	29	other	other	ADJ
cana-1857	203	30	cpu	cpu	NOUN
cana-1857	203	31	-	-	PUNCT
cana-1857	203	32	bound	bind	VERB
cana-1857	203	33	tasks	task	NOUN
cana-1857	203	34	.	.	PUNCT
cana-1857	204	1	the	the	DET
cana-1857	204	2	system	system	NOUN
cana-1857	204	3	boasts	boast	VERB
cana-1857	204	4	64	64	NUM
cana-1857	204	5	gb	gb	NOUN
cana-1857	204	6	of	of	ADP
cana-1857	204	7	ddr4	ddr4	PROPN
cana-1857	204	8	ram	ram	PROPN
cana-1857	204	9	,	,	PUNCT
cana-1857	204	10	offering	offer	VERB
cana-1857	204	11	ample	ample	ADJ
cana-1857	204	12	memory	memory	NOUN
cana-1857	204	13	capacity	capacity	NOUN
cana-1857	204	14	for	for	ADP
cana-1857	204	15	a	a	DET
cana-1857	204	16	wide	wide	ADJ
cana-1857	204	17	array	array	NOUN
cana-1857	204	18	of	of	ADP
cana-1857	204	19	machine	machine	NOUN
cana-1857	204	20	learning	learning	NOUN
cana-1857	204	21	applications	application	NOUN
cana-1857	204	22	without	without	ADP
cana-1857	204	23	straining	strain	VERB
cana-1857	204	24	the	the	DET
cana-1857	204	25	budget	budget	NOUN
cana-1857	204	26	.	.	PUNCT
cana-1857	205	1	for	for	ADP
cana-1857	205	2	data	data	NOUN
cana-1857	205	3	storage	storage	NOUN
cana-1857	205	4	,	,	PUNCT
cana-1857	205	5	we	we	PRON
cana-1857	205	6	rely	rely	VERB
cana-1857	205	7	on	on	ADP
cana-1857	205	8	a	a	DET
cana-1857	205	9	1	1	NUM
cana-1857	205	10	tb	tb	NOUN
cana-1857	205	11	nvme	nvme	PROPN
cana-1857	205	12	ssd	ssd	NOUN
cana-1857	205	13	,	,	PUNCT
cana-1857	205	14	which	which	PRON
cana-1857	205	15	delivers	deliver	VERB
cana-1857	205	16	rapid	rapid	ADJ
cana-1857	205	17	read	read	NOUN
cana-1857	205	18	and	and	CCONJ
cana-1857	205	19	write	write	VERB
cana-1857	205	20	capabilities	capability	NOUN
cana-1857	205	21	essential	essential	ADJ
cana-1857	205	22	for	for	ADP
cana-1857	205	23	data	data	NOUN
cana-1857	205	24	-	-	PUNCT
cana-1857	205	25	heavy	heavy	ADJ
cana-1857	205	26	tasks	task	NOUN
cana-1857	205	27	.	.	PUNCT
cana-1857	206	1	b.	b.	PROPN
cana-1857	206	2	software	software	PROPN
cana-1857	206	3	configuration	configuration	NOUN
cana-1857	206	4	our	our	PRON
cana-1857	206	5	software	software	NOUN
cana-1857	206	6	architecture	architecture	NOUN
cana-1857	206	7	is	be	AUX
cana-1857	206	8	both	both	CCONJ
cana-1857	206	9	resilient	resilient	ADJ
cana-1857	206	10	and	and	CCONJ
cana-1857	206	11	adaptable	adaptable	ADJ
cana-1857	206	12	,	,	PUNCT
cana-1857	206	13	featuring	feature	VERB
cana-1857	206	14	a	a	DET
cana-1857	206	15	mix	mix	NOUN
cana-1857	206	16	of	of	ADP
cana-1857	206	17	open	open	ADJ
cana-1857	206	18	-	-	PUNCT
cana-1857	206	19	source	source	NOUN
cana-1857	206	20	and	and	CCONJ
cana-1857	206	21	proprietary	proprietary	ADJ
cana-1857	206	22	software	software	NOUN
cana-1857	206	23	fine	fine	ADV
cana-1857	206	24	-	-	PUNCT
cana-1857	206	25	tuned	tune	VERB
cana-1857	206	26	for	for	ADP
cana-1857	206	27	machine	machine	NOUN
cana-1857	206	28	learning	learning	NOUN
cana-1857	206	29	and	and	CCONJ
cana-1857	206	30	data	datum	NOUN
cana-1857	206	31	science	science	NOUN
cana-1857	206	32	tasks	task	NOUN
cana-1857	206	33	.	.	PUNCT
cana-1857	207	1	python	python	NOUN
cana-1857	207	2	3.8	3.8	NUM
cana-1857	207	3	and	and	CCONJ
cana-1857	207	4	r	r	NOUN
cana-1857	207	5	serve	serve	NOUN
cana-1857	207	6	as	as	ADP
cana-1857	207	7	the	the	DET
cana-1857	207	8	primary	primary	ADJ
cana-1857	207	9	coding	code	VERB
cana-1857	207	10	languages	language	NOUN
cana-1857	207	11	,	,	PUNCT
cana-1857	207	12	each	each	PRON
cana-1857	207	13	celebrated	celebrate	VERB
cana-1857	207	14	for	for	ADP
cana-1857	207	15	their	their	PRON
cana-1857	207	16	rich	rich	ADJ
cana-1857	207	17	libraries	library	NOUN
cana-1857	207	18	and	and	CCONJ
cana-1857	207	19	vibrant	vibrant	ADJ
cana-1857	207	20	developer	developer	NOUN
cana-1857	207	21	communities	community	NOUN
cana-1857	207	22	.	.	PUNCT
cana-1857	208	1	for	for	ADP
cana-1857	208	2	the	the	DET
cana-1857	208	3	actual	actual	ADJ
cana-1857	208	4	machine	machine	NOUN
cana-1857	208	5	learning	learning	NOUN
cana-1857	208	6	models	model	NOUN
cana-1857	208	7	,	,	PUNCT
cana-1857	208	8	we	we	PRON
cana-1857	208	9	utilize	utilize	VERB
cana-1857	208	10	both	both	DET
cana-1857	208	11	the	the	DET
cana-1857	208	12	pytorch	pytorch	NOUN
cana-1857	208	13	and	and	CCONJ
cana-1857	208	14	tensorflow	tensorflow	NOUN
cana-1857	208	15	platforms	platform	NOUN
cana-1857	208	16	.	.	PUNCT
cana-1857	209	1	pytorch	pytorch	NOUN
cana-1857	209	2	is	be	AUX
cana-1857	209	3	selected	select	VERB
cana-1857	209	4	for	for	ADP
cana-1857	209	5	its	its	PRON
cana-1857	209	6	dynamic	dynamic	ADJ
cana-1857	209	7	computation	computation	NOUN
cana-1857	209	8	graphs	graph	NOUN
cana-1857	209	9	and	and	CCONJ
cana-1857	209	10	effective	effective	ADJ
cana-1857	209	11	gpu	gpu	NOUN
cana-1857	209	12	resource	resource	NOUN
cana-1857	209	13	management	management	NOUN
cana-1857	209	14	,	,	PUNCT
cana-1857	209	15	while	while	SCONJ
cana-1857	209	16	tensorflow	tensorflow	NOUN
cana-1857	209	17	is	be	AUX
cana-1857	209	18	included	include	VERB
cana-1857	209	19	for	for	ADP
cana-1857	209	20	its	its	PRON
cana-1857	209	21	user	user	NOUN
cana-1857	209	22	-	-	PUNCT
cana-1857	209	23	friendly	friendly	ADJ
cana-1857	209	24	apis	apis	NOUN
cana-1857	209	25	and	and	CCONJ
cana-1857	209	26	a	a	DET
cana-1857	209	27	broad	broad	ADJ
cana-1857	209	28	array	array	NOUN
cana-1857	209	29	of	of	ADP
cana-1857	209	30	tools	tool	NOUN
cana-1857	209	31	for	for	ADP
cana-1857	209	32	distributed	distribute	VERB
cana-1857	209	33	computing	computing	NOUN
cana-1857	209	34	.	.	PUNCT
cana-1857	210	1	both	both	DET
cana-1857	210	2	platforms	platform	NOUN
cana-1857	210	3	are	be	AUX
cana-1857	210	4	cuda	cuda	NOUN
cana-1857	210	5	-	-	PUNCT
cana-1857	210	6	compatible	compatible	ADJ
cana-1857	210	7	,	,	PUNCT
cana-1857	210	8	enabling	enable	VERB
cana-1857	210	9	optimized	optimize	VERB
cana-1857	210	10	gpu	gpu	NOUN
cana-1857	210	11	-	-	PUNCT
cana-1857	210	12	based	base	VERB
cana-1857	210	13	calculations	calculation	NOUN
cana-1857	210	14	.	.	PUNCT
cana-1857	211	1	data	datum	NOUN
cana-1857	211	2	wrangling	wrangle	VERB
cana-1857	211	3	and	and	CCONJ
cana-1857	211	4	preprocessing	preprocessing	NOUN
cana-1857	211	5	are	be	AUX
cana-1857	211	6	executed	execute	VERB
cana-1857	211	7	using	use	VERB
cana-1857	211	8	python	python	NOUN
cana-1857	211	9	’s	’s	PART
cana-1857	211	10	pandas	panda	NOUN
cana-1857	211	11	and	and	CCONJ
cana-1857	211	12	numpy	numpy	NOUN
cana-1857	211	13	libraries	library	NOUN
cana-1857	211	14	,	,	PUNCT
cana-1857	211	15	and	and	CCONJ
cana-1857	211	16	r	r	X
cana-1857	211	17	’s	’s	ADJ
cana-1857	211	18	tidyverse	tidyverse	ADJ
cana-1857	211	19	package	package	NOUN
cana-1857	211	20	.	.	PUNCT
cana-1857	212	1	visualization	visualization	NOUN
cana-1857	212	2	is	be	AUX
cana-1857	212	3	handled	handle	VERB
cana-1857	212	4	through	through	ADP
cana-1857	212	5	python	python	PROPN
cana-1857	212	6	’s	’s	PART
cana-1857	212	7	matplotlib	matplotlib	PROPN
cana-1857	212	8	and	and	CCONJ
cana-1857	212	9	seaborn	seaborn	PROPN
cana-1857	212	10	,	,	PUNCT
cana-1857	212	11	and	and	CCONJ
cana-1857	212	12	r	r	X
cana-1857	212	13	’s	’s	ADJ
cana-1857	212	14	ggplot2	ggplot2	PROPN
cana-1857	212	15	.	.	PUNCT
cana-1857	213	1	git	git	NOUN
cana-1857	213	2	manages	manage	VERB
cana-1857	213	3	version	version	NOUN
cana-1857	213	4	control	control	NOUN
cana-1857	213	5	,	,	PUNCT
cana-1857	213	6	and	and	CCONJ
cana-1857	213	7	the	the	DET
cana-1857	213	8	code	code	NOUN
cana-1857	213	9	is	be	AUX
cana-1857	213	10	stored	store	VERB
cana-1857	213	11	in	in	ADP
cana-1857	213	12	a	a	DET
cana-1857	213	13	private	private	ADJ
cana-1857	213	14	github	github	NOUN
cana-1857	213	15	repository	repository	NOUN
cana-1857	213	16	.	.	PUNCT
cana-1857	214	1	docker	docker	PROPN
cana-1857	214	2	is	be	AUX
cana-1857	214	3	used	use	VERB
cana-1857	214	4	for	for	ADP
cana-1857	214	5	containerization	containerization	NOUN
cana-1857	214	6	,	,	PUNCT
cana-1857	214	7	ensuring	ensure	VERB
cana-1857	214	8	software	software	NOUN
cana-1857	214	9	environment	environment	NOUN
cana-1857	214	10	consistency	consistency	NOUN
cana-1857	214	11	.	.	PUNCT
cana-1857	215	1	for	for	ADP
cana-1857	215	2	distributed	distributed	ADJ
cana-1857	215	3	computing	computing	NOUN
cana-1857	215	4	,	,	PUNCT
cana-1857	215	5	kubernetes	kubernete	NOUN
cana-1857	215	6	handles	handle	VERB
cana-1857	215	7	orchestration	orchestration	NOUN
cana-1857	215	8	,	,	PUNCT
cana-1857	215	9	and	and	CCONJ
cana-1857	215	10	apache	apache	PROPN
cana-1857	215	11	kafka	kafka	PROPN
cana-1857	215	12	manages	manage	VERB
cana-1857	215	13	data	datum	NOUN
cana-1857	215	14	streaming	streaming	NOUN
cana-1857	215	15	.	.	PUNCT
cana-1857	216	1	c.	c.	NOUN
cana-1857	216	2	evaluation	evaluation	NOUN
cana-1857	216	3	metrics	metric	NOUN
cana-1857	216	4	the	the	DET
cana-1857	216	5	metrics	metric	NOUN
cana-1857	216	6	for	for	ADP
cana-1857	216	7	evaluating	evaluate	VERB
cana-1857	216	8	model	model	NOUN
cana-1857	216	9	performance	performance	NOUN
cana-1857	216	10	remain	remain	VERB
cana-1857	216	11	consistent	consistent	ADJ
cana-1857	216	12	,	,	PUNCT
cana-1857	216	13	providing	provide	VERB
cana-1857	216	14	a	a	DET
cana-1857	216	15	thorough	thorough	ADJ
cana-1857	216	16	and	and	CCONJ
cana-1857	216	17	detailed	detailed	ADJ
cana-1857	216	18	analysis	analysis	NOUN
cana-1857	216	19	.	.	PUNCT
cana-1857	217	1	these	these	DET
cana-1857	217	2	metrics	metric	NOUN
cana-1857	217	3	encompass	encompass	VERB
cana-1857	217	4	accuracy	accuracy	NOUN
cana-1857	217	5	,	,	PUNCT
cana-1857	217	6	precision	precision	NOUN
cana-1857	217	7	,	,	PUNCT
cana-1857	217	8	recall	recall	NOUN
cana-1857	217	9	,	,	PUNCT
cana-1857	217	10	f1	f1	NOUN
cana-1857	217	11	-	-	PUNCT
cana-1857	217	12	score	score	NOUN
cana-1857	217	13	,	,	PUNCT
cana-1857	217	14	auc	auc	NOUN
cana-1857	217	15	-	-	PUNCT
cana-1857	217	16	roc	roc	NOUN
cana-1857	217	17	,	,	PUNCT
cana-1857	217	18	and	and	CCONJ
cana-1857	217	19	cohen	cohen	PROPN
cana-1857	217	20	’s	’s	PART
cana-1857	217	21	kappa	kappa	PROPN
cana-1857	217	22	.	.	PUNCT
cana-1857	218	1	custom	custom	PROPN
cana-1857	218	2	python	python	PROPN
cana-1857	218	3	scripts	script	NOUN
cana-1857	218	4	,	,	PUNCT
cana-1857	218	5	leveraging	leverage	VERB
cana-1857	218	6	the	the	DET
cana-1857	218	7	scikit	scikit	NOUN
cana-1857	218	8	-	-	PUNCT
cana-1857	218	9	learn	learn	NOUN
cana-1857	218	10	library	library	NOUN
cana-1857	218	11	,	,	PUNCT
cana-1857	218	12	are	be	AUX
cana-1857	218	13	used	use	VERB
cana-1857	218	14	to	to	PART
cana-1857	218	15	compute	compute	VERB
cana-1857	218	16	these	these	DET
cana-1857	218	17	metrics	metric	NOUN
cana-1857	218	18	,	,	PUNCT
cana-1857	218	19	ensuring	ensure	VERB
cana-1857	218	20	a	a	DET
cana-1857	218	21	statistically	statistically	ADV
cana-1857	218	22	sound	sound	ADJ
cana-1857	218	23	evaluation	evaluation	NOUN
cana-1857	218	24	.	.	PUNCT
cana-1857	219	1	d.	d.	PROPN
cana-1857	219	2	tensorflow	tensorflow	NOUN
cana-1857	219	3	-	-	PUNCT
cana-1857	219	4	specific	specific	ADJ
cana-1857	219	5	configurations	configuration	NOUN
cana-1857	219	6	while	while	SCONJ
cana-1857	219	7	pytorch	pytorch	NOUN
cana-1857	219	8	is	be	AUX
cana-1857	219	9	known	know	VERB
cana-1857	219	10	for	for	ADP
cana-1857	219	11	its	its	PRON
cana-1857	219	12	flexible	flexible	ADJ
cana-1857	219	13	computation	computation	NOUN
cana-1857	219	14	graphs	graph	NOUN
cana-1857	219	15	,	,	PUNCT
cana-1857	219	16	tensorflow	tensorflow	NOUN
cana-1857	219	17	shines	shine	VERB
cana-1857	219	18	in	in	ADP
cana-1857	219	19	its	its	PRON
cana-1857	219	20	capacity	capacity	NOUN
cana-1857	219	21	for	for	ADP
cana-1857	219	22	straightforward	straightforward	ADJ
cana-1857	219	23	machine	machine	NOUN
cana-1857	219	24	learning	learn	VERB
cana-1857	219	25	model	model	NOUN
cana-1857	219	26	deployment	deployment	PROPN
cana-1857	219	27	in	in	ADP
cana-1857	219	28	production	production	NOUN
cana-1857	219	29	settings	setting	NOUN
cana-1857	219	30	.	.	PUNCT
cana-1857	220	1	tensorflow	tensorflow	NOUN
cana-1857	220	2	’s	’s	PART
cana-1857	220	3	computation	computation	NOUN
cana-1857	220	4	graph	graph	NOUN
cana-1857	220	5	is	be	AUX
cana-1857	220	6	static	static	ADJ
cana-1857	220	7	,	,	PUNCT
cana-1857	220	8	enabling	enable	VERB
cana-1857	220	9	optimizations	optimization	NOUN
cana-1857	220	10	that	that	PRON
cana-1857	220	11	can	can	AUX
cana-1857	220	12	speed	speed	VERB
cana-1857	220	13	up	up	ADP
cana-1857	220	14	model	model	NOUN
cana-1857	220	15	inference	inference	NOUN
cana-1857	220	16	.	.	PUNCT
cana-1857	221	1	to	to	PART
cana-1857	221	2	facilitate	facilitate	VERB
cana-1857	221	3	smooth	smooth	ADJ
cana-1857	221	4	deployment	deployment	NOUN
cana-1857	221	5	and	and	CCONJ
cana-1857	221	6	real	real	ADJ
cana-1857	221	7	-	-	PUNCT
cana-1857	221	8	time	time	NOUN
cana-1857	221	9	performance	performance	NOUN
cana-1857	221	10	,	,	PUNCT
cana-1857	221	11	we	we	PRON
cana-1857	221	12	use	use	VERB
cana-1857	221	13	tensorflow	tensorflow	NOUN
cana-1857	221	14	’s	’s	PART
cana-1857	221	15	suite	suite	NOUN
cana-1857	221	16	of	of	ADP
cana-1857	221	17	tools	tool	NOUN
cana-1857	221	18	.	.	PUNCT
cana-1857	222	1	tensorflow	tensorflow	NOUN
cana-1857	222	2	serving	serve	VERB
cana-1857	222	3	is	be	AUX
cana-1857	222	4	employed	employ	VERB
cana-1857	222	5	for	for	ADP
cana-1857	222	6	model	model	NOUN
cana-1857	222	7	deployment	deployment	NOUN
cana-1857	222	8	.	.	PUNCT
cana-1857	223	1	this	this	DET
cana-1857	223	2	high	high	ADJ
cana-1857	223	3	-	-	PUNCT
cana-1857	223	4	performance	performance	NOUN
cana-1857	223	5	system	system	NOUN
cana-1857	223	6	is	be	AUX
cana-1857	223	7	tailored	tailor	VERB
cana-1857	223	8	for	for	ADP
cana-1857	223	9	machine	machine	NOUN
cana-1857	223	10	learning	learn	VERB
cana-1857	223	11	applications	application	NOUN
cana-1857	223	12	and	and	CCONJ
cana-1857	223	13	supports	support	VERB
cana-1857	223	14	effortless	effortless	ADJ
cana-1857	223	15	cloud	cloud	NOUN
cana-1857	223	16	-	-	PUNCT
cana-1857	223	17	based	base	VERB
cana-1857	223	18	deployment	deployment	NOUN
cana-1857	223	19	,	,	PUNCT
cana-1857	223	20	enabling	enable	VERB
cana-1857	223	21	real	real	ADJ
cana-1857	223	22	-	-	PUNCT
cana-1857	223	23	time	time	NOUN
cana-1857	223	24	,	,	PUNCT
cana-1857	223	25	communications	communication	NOUN
cana-1857	223	26	on	on	ADP
cana-1857	223	27	applied	apply	VERB
cana-1857	223	28	nonlinear	nonlinear	ADJ
cana-1857	223	29	analysis	analysis	NOUN
cana-1857	223	30	issn	issn	NOUN
cana-1857	223	31	:	:	PUNCT
cana-1857	223	32	1074	1074	NUM
cana-1857	223	33	-	-	PUNCT
cana-1857	223	34	133x	133x	NUM
cana-1857	223	35	vol	vol	NOUN
cana-1857	223	36	32	32	NUM
cana-1857	224	1	no	no	NOUN
cana-1857	224	2	.	.	NOUN
cana-1857	224	3	2	2	NUM
cana-1857	224	4	(	(	PUNCT
cana-1857	224	5	2025	2025	NUM
cana-1857	224	6	)	)	PUNCT
cana-1857	225	1	621	621	NUM
cana-1857	225	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1857	225	3	high	high	ADJ
cana-1857	225	4	-	-	PUNCT
cana-1857	225	5	throughput	throughput	NOUN
cana-1857	225	6	sentiment	sentiment	NOUN
cana-1857	225	7	analysis	analysis	NOUN
cana-1857	225	8	in	in	ADP
cana-1857	225	9	educational	educational	ADJ
cana-1857	225	10	contexts	contexts	NOUN
cana-1857	225	11	.	.	PUNCT
cana-1857	226	1	tensorboard	tensorboard	NOUN
cana-1857	226	2	is	be	AUX
cana-1857	226	3	used	use	VERB
cana-1857	226	4	to	to	PART
cana-1857	226	5	oversee	oversee	VERB
cana-1857	226	6	the	the	DET
cana-1857	226	7	training	training	NOUN
cana-1857	226	8	process	process	NOUN
cana-1857	226	9	.	.	PUNCT
cana-1857	227	1	this	this	DET
cana-1857	227	2	web	web	NOUN
cana-1857	227	3	-	-	PUNCT
cana-1857	227	4	based	base	VERB
cana-1857	227	5	tool	tool	NOUN
cana-1857	227	6	provides	provide	VERB
cana-1857	227	7	a	a	DET
cana-1857	227	8	comprehensive	comprehensive	ADJ
cana-1857	227	9	set	set	NOUN
cana-1857	227	10	of	of	ADP
cana-1857	227	11	visualizations	visualization	NOUN
cana-1857	227	12	for	for	ADP
cana-1857	227	13	various	various	ADJ
cana-1857	227	14	training	training	NOUN
cana-1857	227	15	metrics	metric	NOUN
cana-1857	227	16	,	,	PUNCT
cana-1857	227	17	thereby	thereby	ADV
cana-1857	227	18	aiding	aid	VERB
cana-1857	227	19	in	in	ADP
cana-1857	227	20	understanding	understand	VERB
cana-1857	227	21	the	the	DET
cana-1857	227	22	model	model	NOUN
cana-1857	227	23	’s	’s	PART
cana-1857	227	24	behavior	behavior	NOUN
cana-1857	227	25	and	and	CCONJ
cana-1857	227	26	troubleshooting	troubleshoot	VERB
cana-1857	227	27	any	any	DET
cana-1857	227	28	issues	issue	NOUN
cana-1857	227	29	that	that	PRON
cana-1857	227	30	may	may	AUX
cana-1857	227	31	arise.for	arise.for	ADP
cana-1857	227	32	data	datum	NOUN
cana-1857	227	33	ingestion	ingestion	NOUN
cana-1857	227	34	,	,	PUNCT
cana-1857	227	35	we	we	PRON
cana-1857	227	36	utilize	utilize	VERB
cana-1857	227	37	the	the	DET
cana-1857	227	38	tf	tf	PROPN
cana-1857	227	39	-	-	PUNCT
cana-1857	227	40	data	data	NOUN
cana-1857	227	41	api	api	NOUN
cana-1857	227	42	to	to	PART
cana-1857	227	43	construct	construct	VERB
cana-1857	227	44	efficient	efficient	ADJ
cana-1857	227	45	,	,	PUNCT
cana-1857	227	46	complex	complex	ADJ
cana-1857	227	47	input	input	NOUN
cana-1857	227	48	pipelines	pipeline	NOUN
cana-1857	227	49	from	from	ADP
cana-1857	227	50	simple	simple	ADJ
cana-1857	227	51	,	,	PUNCT
cana-1857	227	52	reusable	reusable	ADJ
cana-1857	227	53	components	component	NOUN
cana-1857	227	54	,	,	PUNCT
cana-1857	227	55	resulting	result	VERB
cana-1857	227	56	in	in	ADP
cana-1857	227	57	significant	significant	ADJ
cana-1857	227	58	performance	performance	NOUN
cana-1857	227	59	improvements	improvement	NOUN
cana-1857	227	60	and	and	CCONJ
cana-1857	227	61	a	a	DET
cana-1857	227	62	more	more	ADV
cana-1857	227	63	manageable	manageable	ADJ
cana-1857	227	64	data	datum	NOUN
cana-1857	227	65	input	input	NOUN
cana-1857	227	66	process	process	NOUN
cana-1857	227	67	.	.	PUNCT
cana-1857	228	1	additionally	additionally	ADV
cana-1857	228	2	,	,	PUNCT
cana-1857	228	3	we	we	PRON
cana-1857	228	4	explore	explore	VERB
cana-1857	228	5	the	the	DET
cana-1857	228	6	use	use	NOUN
cana-1857	228	7	of	of	ADP
cana-1857	228	8	tensorflow	tensorflow	NOUN
cana-1857	228	9	lite	lite	NOUN
cana-1857	228	10	(	(	PUNCT
cana-1857	228	11	tf	tf	NOUN
cana-1857	228	12	-	-	PUNCT
cana-1857	228	13	lite	lite	NOUN
cana-1857	228	14	)	)	PUNCT
cana-1857	228	15	for	for	ADP
cana-1857	228	16	potential	potential	ADJ
cana-1857	228	17	edge	edge	NOUN
cana-1857	228	18	deployment	deployment	NOUN
cana-1857	228	19	.	.	PUNCT
cana-1857	229	1	tf	tf	ADJ
cana-1857	229	2	-	-	PUNCT
cana-1857	229	3	lite	lite	NOUN
cana-1857	229	4	enables	enable	VERB
cana-1857	229	5	the	the	DET
cana-1857	229	6	conversion	conversion	NOUN
cana-1857	229	7	of	of	ADP
cana-1857	229	8	tensorflow	tensorflow	NOUN
cana-1857	229	9	models	model	NOUN
cana-1857	229	10	into	into	ADP
cana-1857	229	11	a	a	DET
cana-1857	229	12	more	more	ADV
cana-1857	229	13	compact	compact	ADJ
cana-1857	229	14	format	format	NOUN
cana-1857	229	15	suitable	suitable	ADJ
cana-1857	229	16	for	for	ADP
cana-1857	229	17	mobile	mobile	ADJ
cana-1857	229	18	and	and	CCONJ
cana-1857	229	19	other	other	ADJ
cana-1857	229	20	edge	edge	NOUN
cana-1857	229	21	devices	device	NOUN
cana-1857	229	22	,	,	PUNCT
cana-1857	229	23	offering	offer	VERB
cana-1857	229	24	the	the	DET
cana-1857	229	25	advantage	advantage	NOUN
cana-1857	229	26	of	of	ADP
cana-1857	229	27	real	real	ADJ
cana-1857	229	28	-	-	PUNCT
cana-1857	229	29	time	time	NOUN
cana-1857	229	30	analysis	analysis	NOUN
cana-1857	229	31	without	without	ADP
cana-1857	229	32	a	a	DET
cana-1857	229	33	significant	significant	ADJ
cana-1857	229	34	compromise	compromise	NOUN
cana-1857	229	35	in	in	ADP
cana-1857	229	36	accuracy	accuracy	NOUN
cana-1857	229	37	.	.	PUNCT
cana-1857	230	1	1	1	X
cana-1857	230	2	)	)	PUNCT
cana-1857	230	3	distributed	distribute	VERB
cana-1857	230	4	computing	computing	NOUN
cana-1857	230	5	with	with	ADP
cana-1857	230	6	tensorflow	tensorflow	NOUN
cana-1857	230	7	:	:	PUNCT
cana-1857	230	8	tensorflow	tensorflow	PROPN
cana-1857	230	9	’s	’s	PART
cana-1857	230	10	native	native	ADJ
cana-1857	230	11	support	support	NOUN
cana-1857	230	12	for	for	ADP
cana-1857	230	13	distributed	distribute	VERB
cana-1857	230	14	com	com	NOUN
cana-1857	230	15	puting	puting	NOUN
cana-1857	230	16	enables	enable	VERB
cana-1857	230	17	the	the	DET
cana-1857	230	18	model	model	NOUN
cana-1857	230	19	to	to	PART
cana-1857	230	20	be	be	AUX
cana-1857	230	21	trained	train	VERB
cana-1857	230	22	on	on	ADP
cana-1857	230	23	a	a	DET
cana-1857	230	24	cluster	cluster	NOUN
cana-1857	230	25	of	of	ADP
cana-1857	230	26	machines	machine	NOUN
cana-1857	230	27	,	,	PUNCT
cana-1857	230	28	if	if	SCONJ
cana-1857	230	29	needed	need	VERB
cana-1857	230	30	.	.	PUNCT
cana-1857	231	1	this	this	PRON
cana-1857	231	2	is	be	AUX
cana-1857	231	3	particularly	particularly	ADV
cana-1857	231	4	useful	useful	ADJ
cana-1857	231	5	for	for	ADP
cana-1857	231	6	hyperparameter	hyperparameter	NOUN
cana-1857	231	7	tuning	tuning	NOUN
cana-1857	231	8	,	,	PUNCT
cana-1857	231	9	which	which	PRON
cana-1857	231	10	often	often	ADV
cana-1857	231	11	requires	require	VERB
cana-1857	231	12	running	run	VERB
cana-1857	231	13	multiple	multiple	ADJ
cana-1857	231	14	training	training	NOUN
cana-1857	231	15	jobs	job	NOUN
cana-1857	231	16	concurrently	concurrently	ADV
cana-1857	231	17	.	.	PUNCT
cana-1857	232	1	tensorflow	tensorflow	NOUN
cana-1857	232	2	’s	’s	PART
cana-1857	232	3	tf.distribute.strategy	tf.distribute.strategy	PROPN
cana-1857	232	4	api	api	NOUN
cana-1857	232	5	provides	provide	VERB
cana-1857	232	6	an	an	DET
cana-1857	232	7	abstraction	abstraction	NOUN
cana-1857	232	8	for	for	ADP
cana-1857	232	9	distributing	distribute	VERB
cana-1857	232	10	the	the	DET
cana-1857	232	11	training	training	NOUN
cana-1857	232	12	across	across	ADP
cana-1857	232	13	multiple	multiple	ADJ
cana-1857	232	14	processing	processing	NOUN
cana-1857	232	15	units	unit	NOUN
cana-1857	232	16	.	.	PUNCT
cana-1857	233	1	the	the	DET
cana-1857	233	2	strategy	strategy	NOUN
cana-1857	233	3	is	be	AUX
cana-1857	233	4	designed	design	VERB
cana-1857	233	5	to	to	PART
cana-1857	233	6	work	work	VERB
cana-1857	233	7	with	with	ADP
cana-1857	233	8	all	all	DET
cana-1857	233	9	high	high	ADJ
cana-1857	233	10	-	-	PUNCT
cana-1857	233	11	level	level	NOUN
cana-1857	233	12	tensorflow	tensorflow	NOUN
cana-1857	233	13	apis	apis	NOUN
cana-1857	233	14	(	(	PUNCT
cana-1857	233	15	tf.keras	tf.kera	NOUN
cana-1857	233	16	,	,	PUNCT
cana-1857	233	17	tf.estimator	tf.estimator	NOUN
cana-1857	233	18	,	,	PUNCT
cana-1857	233	19	etc	etc	X
cana-1857	233	20	.	.	X
cana-1857	233	21	)	)	PUNCT
cana-1857	233	22	.	.	PUNCT
cana-1857	234	1	2	2	X
cana-1857	234	2	)	)	PUNCT
cana-1857	234	3	tensorflow	tensorflow	NOUN
cana-1857	234	4	optimizers	optimizer	NOUN
cana-1857	234	5	and	and	CCONJ
cana-1857	234	6	regularization	regularization	NOUN
cana-1857	234	7	:	:	PUNCT
cana-1857	234	8	to	to	PART
cana-1857	234	9	ensure	ensure	VERB
cana-1857	234	10	seamless	seamless	ADJ
cana-1857	234	11	deployment	deployment	NOUN
cana-1857	234	12	and	and	CCONJ
cana-1857	234	13	realtime	realtime	ADJ
cana-1857	234	14	performance	performance	NOUN
cana-1857	234	15	of	of	ADP
cana-1857	234	16	our	our	PRON
cana-1857	234	17	machine	machine	NOUN
cana-1857	234	18	learning	learning	NOUN
cana-1857	234	19	models	model	NOUN
cana-1857	234	20	,	,	PUNCT
cana-1857	234	21	we	we	PRON
cana-1857	234	22	employ	employ	VERB
cana-1857	234	23	a	a	DET
cana-1857	234	24	suite	suite	NOUN
cana-1857	234	25	of	of	ADP
cana-1857	234	26	tools	tool	NOUN
cana-1857	234	27	provided	provide	VERB
cana-1857	234	28	by	by	ADP
cana-1857	234	29	tensorflow	tensorflow	NOUN
cana-1857	234	30	.	.	PUNCT
cana-1857	235	1	tensorflow	tensorflow	NOUN
cana-1857	235	2	serving	serve	VERB
cana-1857	235	3	is	be	AUX
cana-1857	235	4	utilized	utilize	VERB
cana-1857	235	5	for	for	ADP
cana-1857	235	6	the	the	DET
cana-1857	235	7	deployment	deployment	NOUN
cana-1857	235	8	of	of	ADP
cana-1857	235	9	our	our	PRON
cana-1857	235	10	trained	train	VERB
cana-1857	235	11	models	model	NOUN
cana-1857	235	12	.	.	PUNCT
cana-1857	236	1	this	this	DET
cana-1857	236	2	highperformance	highperformance	NOUN
cana-1857	236	3	serving	serve	VERB
cana-1857	236	4	system	system	NOUN
cana-1857	236	5	is	be	AUX
cana-1857	236	6	specifically	specifically	ADV
cana-1857	236	7	designed	design	VERB
cana-1857	236	8	for	for	ADP
cana-1857	236	9	machine	machine	NOUN
cana-1857	236	10	learning	learning	NOUN
cana-1857	236	11	applications	application	NOUN
cana-1857	236	12	and	and	CCONJ
cana-1857	236	13	allows	allow	VERB
cana-1857	236	14	for	for	ADP
cana-1857	236	15	easy	easy	ADJ
cana-1857	236	16	cloudbased	cloudbase	VERB
cana-1857	236	17	deployment	deployment	NOUN
cana-1857	236	18	,	,	PUNCT
cana-1857	236	19	facilitating	facilitate	VERB
cana-1857	236	20	real	real	ADJ
cana-1857	236	21	-	-	PUNCT
cana-1857	236	22	time	time	NOUN
cana-1857	236	23	,	,	PUNCT
cana-1857	236	24	high	high	ADJ
cana-1857	236	25	-	-	PUNCT
cana-1857	236	26	throughput	throughput	NOUN
cana-1857	236	27	sentiment	sentiment	NOUN
cana-1857	236	28	classification	classification	NOUN
cana-1857	236	29	in	in	ADP
cana-1857	236	30	educational	educational	ADJ
cana-1857	236	31	settings	setting	NOUN
cana-1857	236	32	.	.	PUNCT
cana-1857	237	1	to	to	PART
cana-1857	237	2	monitor	monitor	VERB
cana-1857	237	3	the	the	DET
cana-1857	237	4	training	training	NOUN
cana-1857	237	5	process	process	NOUN
cana-1857	237	6	,	,	PUNCT
cana-1857	237	7	tensorboard	tensorboard	NOUN
cana-1857	237	8	is	be	AUX
cana-1857	237	9	employed	employ	VERB
cana-1857	237	10	(	(	PUNCT
cana-1857	237	11	26	26	NUM
cana-1857	237	12	)	)	PUNCT
cana-1857	237	13	.	.	PUNCT
cana-1857	238	1	this	this	DET
cana-1857	238	2	webbased	webbase	VERB
cana-1857	238	3	tool	tool	NOUN
cana-1857	238	4	provides	provide	VERB
cana-1857	238	5	a	a	DET
cana-1857	238	6	comprehensive	comprehensive	ADJ
cana-1857	238	7	set	set	NOUN
cana-1857	238	8	of	of	ADP
cana-1857	238	9	visualizations	visualization	NOUN
cana-1857	238	10	for	for	ADP
cana-1857	238	11	various	various	ADJ
cana-1857	238	12	training	training	NOUN
cana-1857	238	13	metrics	metric	NOUN
cana-1857	238	14	,	,	PUNCT
cana-1857	238	15	thereby	thereby	ADV
cana-1857	238	16	aiding	aid	VERB
cana-1857	238	17	in	in	ADP
cana-1857	238	18	understanding	understand	VERB
cana-1857	238	19	the	the	DET
cana-1857	238	20	model	model	NOUN
cana-1857	238	21	’s	’s	PART
cana-1857	238	22	behavior	behavior	NOUN
cana-1857	238	23	and	and	CCONJ
cana-1857	238	24	troubleshooting	troubleshoot	VERB
cana-1857	238	25	any	any	DET
cana-1857	238	26	issues	issue	NOUN
cana-1857	238	27	that	that	PRON
cana-1857	238	28	may	may	AUX
cana-1857	238	29	arise	arise	VERB
cana-1857	238	30	.	.	PUNCT
cana-1857	239	1	for	for	ADP
cana-1857	239	2	data	datum	NOUN
cana-1857	239	3	input	input	NOUN
cana-1857	239	4	,	,	PUNCT
cana-1857	239	5	the	the	DET
cana-1857	239	6	tf	tf	PROPN
cana-1857	239	7	-	-	PUNCT
cana-1857	239	8	data	data	NOUN
cana-1857	239	9	api	api	NOUN
cana-1857	239	10	is	be	AUX
cana-1857	239	11	used	use	VERB
cana-1857	239	12	to	to	PART
cana-1857	239	13	construct	construct	VERB
cana-1857	239	14	efficient	efficient	ADJ
cana-1857	239	15	,	,	PUNCT
cana-1857	239	16	complex	complex	ADJ
cana-1857	239	17	input	input	NOUN
cana-1857	239	18	pipelines	pipeline	NOUN
cana-1857	239	19	from	from	ADP
cana-1857	239	20	simple	simple	ADJ
cana-1857	239	21	,	,	PUNCT
cana-1857	239	22	reusable	reusable	ADJ
cana-1857	239	23	components	component	NOUN
cana-1857	239	24	,	,	PUNCT
cana-1857	239	25	resulting	result	VERB
cana-1857	239	26	in	in	ADP
cana-1857	239	27	significant	significant	ADJ
cana-1857	239	28	performance	performance	NOUN
cana-1857	239	29	improvements	improvement	NOUN
cana-1857	239	30	and	and	CCONJ
cana-1857	239	31	a	a	DET
cana-1857	239	32	more	more	ADV
cana-1857	239	33	manageable	manageable	ADJ
cana-1857	239	34	data	datum	NOUN
cana-1857	239	35	input	input	NOUN
cana-1857	239	36	process	process	NOUN
cana-1857	239	37	.	.	PUNCT
cana-1857	240	1	additionally	additionally	ADV
cana-1857	240	2	,	,	PUNCT
cana-1857	240	3	we	we	PRON
cana-1857	240	4	explore	explore	VERB
cana-1857	240	5	the	the	DET
cana-1857	240	6	use	use	NOUN
cana-1857	240	7	of	of	ADP
cana-1857	240	8	tensorflow	tensorflow	NOUN
cana-1857	240	9	lite	lite	NOUN
cana-1857	240	10	(	(	PUNCT
cana-1857	240	11	tf	tf	NOUN
cana-1857	240	12	-	-	PUNCT
cana-1857	240	13	lite	lite	NOUN
cana-1857	240	14	)	)	PUNCT
cana-1857	240	15	for	for	ADP
cana-1857	240	16	potential	potential	ADJ
cana-1857	240	17	edge	edge	NOUN
cana-1857	240	18	deployment	deployment	NOUN
cana-1857	240	19	.	.	PUNCT
cana-1857	241	1	tf	tf	ADJ
cana-1857	241	2	-	-	PUNCT
cana-1857	241	3	lite	lite	NOUN
cana-1857	241	4	enables	enable	VERB
cana-1857	241	5	the	the	DET
cana-1857	241	6	conversion	conversion	NOUN
cana-1857	241	7	of	of	ADP
cana-1857	241	8	tensorflow	tensorflow	NOUN
cana-1857	241	9	models	model	NOUN
cana-1857	241	10	into	into	ADP
cana-1857	241	11	a	a	DET
cana-1857	241	12	more	more	ADV
cana-1857	241	13	compact	compact	ADJ
cana-1857	241	14	format	format	NOUN
cana-1857	241	15	suitable	suitable	ADJ
cana-1857	241	16	for	for	ADP
cana-1857	241	17	mobile	mobile	ADJ
cana-1857	241	18	and	and	CCONJ
cana-1857	241	19	other	other	ADJ
cana-1857	241	20	edge	edge	NOUN
cana-1857	241	21	devices	device	NOUN
cana-1857	241	22	,	,	PUNCT
cana-1857	241	23	offering	offer	VERB
cana-1857	241	24	the	the	DET
cana-1857	241	25	advantage	advantage	NOUN
cana-1857	241	26	of	of	ADP
cana-1857	241	27	real	real	ADJ
cana-1857	241	28	-	-	PUNCT
cana-1857	241	29	time	time	NOUN
cana-1857	241	30	analysis	analysis	NOUN
cana-1857	241	31	without	without	ADP
cana-1857	241	32	a	a	DET
cana-1857	241	33	significant	significant	ADJ
cana-1857	241	34	compromise	compromise	NOUN
cana-1857	241	35	in	in	ADP
cana-1857	241	36	accuracy	accuracy	NOUN
cana-1857	241	37	.	.	PUNCT
cana-1857	242	1	3	3	X
cana-1857	242	2	)	)	PUNCT
cana-1857	242	3	tensorflow	tensorflow	NOUN
cana-1857	242	4	and	and	CCONJ
cana-1857	242	5	nlp	nlp	NOUN
cana-1857	242	6	libraries	library	NOUN
cana-1857	242	7	:	:	PUNCT
cana-1857	242	8	tensorflow	tensorflow	NOUN
cana-1857	242	9	’s	’s	PART
cana-1857	242	10	compatibility	compatibility	NOUN
cana-1857	242	11	with	with	ADP
cana-1857	242	12	natural	natural	ADJ
cana-1857	242	13	language	language	NOUN
cana-1857	242	14	process	process	NOUN
cana-1857	242	15	ing	ing	NOUN
cana-1857	242	16	libraries	library	NOUN
cana-1857	242	17	like	like	ADP
cana-1857	242	18	tf.text	tf.text	PRON
cana-1857	242	19	and	and	CCONJ
cana-1857	242	20	tf.hub	tf.hub	PROPN
cana-1857	242	21	allows	allow	VERB
cana-1857	242	22	for	for	ADP
cana-1857	242	23	more	more	ADV
cana-1857	242	24	advanced	advanced	ADJ
cana-1857	242	25	text	text	NOUN
cana-1857	242	26	processing	processing	NOUN
cana-1857	242	27	techniques	technique	NOUN
cana-1857	242	28	.	.	PUNCT
cana-1857	243	1	these	these	DET
cana-1857	243	2	libraries	library	NOUN
cana-1857	243	3	offer	offer	VERB
cana-1857	243	4	pre	pre	VERB
cana-1857	243	5	-	-	ADJ
cana-1857	243	6	built	build	VERB
cana-1857	243	7	text	text	NOUN
cana-1857	243	8	processing	processing	NOUN
cana-1857	243	9	operations	operation	NOUN
cana-1857	243	10	and	and	CCONJ
cana-1857	243	11	pre	pre	ADJ
cana-1857	243	12	-	-	ADJ
cana-1857	243	13	trained	train	VERB
cana-1857	243	14	models	model	NOUN
cana-1857	243	15	that	that	PRON
cana-1857	243	16	can	can	AUX
cana-1857	243	17	be	be	AUX
cana-1857	243	18	fine	fine	ADV
cana-1857	243	19	-	-	PUNCT
cana-1857	243	20	tuned	tune	VERB
cana-1857	243	21	for	for	ADP
cana-1857	243	22	the	the	DET
cana-1857	243	23	specific	specific	ADJ
cana-1857	243	24	task	task	NOUN
cana-1857	243	25	of	of	ADP
cana-1857	243	26	educational	educational	ADJ
cana-1857	243	27	sentiment	sentiment	NOUN
cana-1857	243	28	analysis	analysis	NOUN
cana-1857	243	29	.	.	PUNCT
cana-1857	244	1	tensorflow	tensorflow	NOUN
cana-1857	244	2	extended	extended	ADJ
cana-1857	244	3	(	(	PUNCT
cana-1857	244	4	tfx	tfx	PROPN
cana-1857	244	5	)	)	PUNCT
cana-1857	244	6	for	for	ADP
cana-1857	244	7	end	end	NOUN
cana-1857	244	8	-	-	PUNCT
cana-1857	244	9	to	to	ADP
cana-1857	244	10	-	-	PUNCT
cana-1857	244	11	end	end	NOUN
cana-1857	244	12	ml	ml	ADP
cana-1857	244	13	pipelines	pipeline	NOUN
cana-1857	244	14	:	:	PUNCT
cana-1857	244	15	to	to	PART
cana-1857	244	16	create	create	VERB
cana-1857	244	17	a	a	DET
cana-1857	244	18	seamless	seamless	ADJ
cana-1857	244	19	end	end	NOUN
cana-1857	244	20	-	-	PUNCT
cana-1857	244	21	toend	toend	NOUN
cana-1857	244	22	machine	machine	NOUN
cana-1857	244	23	learning	learn	VERB
cana-1857	244	24	pipeline	pipeline	NOUN
cana-1857	244	25	,	,	PUNCT
cana-1857	244	26	tensorflow	tensorflow	NOUN
cana-1857	244	27	extended	extend	VERB
cana-1857	244	28	(	(	PUNCT
cana-1857	244	29	tfx	tfx	PROPN
cana-1857	244	30	)	)	PUNCT
cana-1857	244	31	is	be	AUX
cana-1857	244	32	employed	employ	VERB
cana-1857	244	33	.	.	PUNCT
cana-1857	245	1	tfx	tfx	PROPN
cana-1857	245	2	is	be	AUX
cana-1857	245	3	a	a	DET
cana-1857	245	4	productionready	productionready	ADJ
cana-1857	245	5	machine	machine	NOUN
cana-1857	245	6	learning	learn	VERB
cana-1857	245	7	platform	platform	NOUN
cana-1857	245	8	that	that	PRON
cana-1857	245	9	enables	enable	VERB
cana-1857	245	10	the	the	DET
cana-1857	245	11	deployment	deployment	NOUN
cana-1857	245	12	of	of	ADP
cana-1857	245	13	robust	robust	ADJ
cana-1857	245	14	,	,	PUNCT
cana-1857	245	15	high	high	ADJ
cana-1857	245	16	-	-	PUNCT
cana-1857	245	17	quality	quality	NOUN
cana-1857	245	18	models	model	NOUN
cana-1857	245	19	.	.	PUNCT
cana-1857	246	1	in	in	ADP
cana-1857	246	2	our	our	PRON
cana-1857	246	3	tensorflow	tensorflow	NOUN
cana-1857	246	4	extended	extend	VERB
cana-1857	246	5	(	(	PUNCT
cana-1857	246	6	tfx	tfx	ADJ
cana-1857	246	7	)	)	PUNCT
cana-1857	246	8	pipeline	pipeline	NOUN
cana-1857	246	9	,	,	PUNCT
cana-1857	246	10	various	various	ADJ
cana-1857	246	11	components	component	NOUN
cana-1857	246	12	are	be	AUX
cana-1857	246	13	meticulously	meticulously	ADV
cana-1857	246	14	orchestrated	orchestrate	VERB
cana-1857	246	15	to	to	PART
cana-1857	246	16	ensure	ensure	VERB
cana-1857	246	17	a	a	DET
cana-1857	246	18	seamless	seamless	ADJ
cana-1857	246	19	machine	machine	NOUN
cana-1857	246	20	learning	learn	VERB
cana-1857	246	21	workflow	workflow	NOUN
cana-1857	246	22	.	.	PUNCT
cana-1857	247	1	examplegen	examplegen	PROPN
cana-1857	247	2	is	be	AUX
cana-1857	247	3	the	the	DET
cana-1857	247	4	first	first	ADJ
cana-1857	247	5	in	in	ADP
cana-1857	247	6	line	line	NOUN
cana-1857	247	7	,	,	PUNCT
cana-1857	247	8	responsible	responsible	ADJ
cana-1857	247	9	for	for	ADP
cana-1857	247	10	ingesting	ingest	VERB
cana-1857	247	11	data	datum	NOUN
cana-1857	247	12	into	into	ADP
cana-1857	247	13	the	the	DET
cana-1857	247	14	pipeline	pipeline	NOUN
cana-1857	247	15	.	.	PUNCT
cana-1857	248	1	following	follow	VERB
cana-1857	248	2	this	this	PRON
cana-1857	248	3	,	,	PUNCT
cana-1857	248	4	statisticsgen	statisticsgen	PROPN
cana-1857	248	5	computes	compute	VERB
cana-1857	248	6	essential	essential	ADJ
cana-1857	248	7	statistics	statistic	NOUN
cana-1857	248	8	for	for	SCONJ
cana-1857	248	9	the	the	DET
cana-1857	248	10	ingested	ingest	VERB
cana-1857	248	11	communications	communication	NOUN
cana-1857	248	12	on	on	ADP
cana-1857	248	13	applied	apply	VERB
cana-1857	248	14	nonlinear	nonlinear	ADJ
cana-1857	248	15	analysis	analysis	NOUN
cana-1857	248	16	issn	issn	NOUN
cana-1857	248	17	:	:	PUNCT
cana-1857	248	18	1074	1074	NUM
cana-1857	248	19	-	-	PUNCT
cana-1857	248	20	133x	133x	NUM
cana-1857	248	21	vol	vol	NOUN
cana-1857	248	22	32	32	NUM
cana-1857	248	23	no	no	NOUN
cana-1857	248	24	.	.	NOUN
cana-1857	248	25	2	2	NUM
cana-1857	248	26	(	(	PUNCT
cana-1857	248	27	2025	2025	NUM
cana-1857	248	28	)	)	PUNCT
cana-1857	248	29	622	622	NUM
cana-1857	248	30	https://internationalpubls.com	https://internationalpubls.com	X
cana-1857	248	31	dataset	dataset	NOUN
cana-1857	248	32	,	,	PUNCT
cana-1857	248	33	laying	lay	VERB
cana-1857	248	34	the	the	DET
cana-1857	248	35	groundwork	groundwork	NOUN
cana-1857	248	36	for	for	ADP
cana-1857	248	37	feature	feature	NOUN
cana-1857	248	38	engineering	engineering	NOUN
cana-1857	248	39	.	.	PUNCT
cana-1857	249	1	schemagen	schemagen	PROPN
cana-1857	249	2	examines	examine	VERB
cana-1857	249	3	these	these	PRON
cana-1857	249	4	where	where	SCONJ
cana-1857	249	5	λ1	λ1	ADJ
cana-1857	249	6	and	and	CCONJ
cana-1857	249	7	λ2	λ2	NOUN
cana-1857	249	8	are	be	AUX
cana-1857	249	9	the	the	DET
cana-1857	249	10	regularization	regularization	NOUN
cana-1857	249	11	coefficients	coefficient	NOUN
cana-1857	249	12	for	for	ADP
cana-1857	249	13	l1	l1	PROPN
cana-1857	249	14	and	and	CCONJ
cana-1857	249	15	l2	l2	NOUN
cana-1857	249	16	regularization	regularization	NOUN
cana-1857	249	17	,	,	PUNCT
cana-1857	249	18	respectively	respectively	ADV
cana-1857	249	19	.	.	PUNCT
cana-1857	250	1	4	4	X
cana-1857	250	2	)	)	PUNCT
cana-1857	250	3	tensorflow	tensorflow	NOUN
cana-1857	250	4	and	and	CCONJ
cana-1857	250	5	nlp	nlp	NOUN
cana-1857	250	6	libraries	library	NOUN
cana-1857	250	7	:	:	PUNCT
cana-1857	250	8	tensorflow	tensorflow	NOUN
cana-1857	250	9	’s	’s	PART
cana-1857	250	10	compatibility	compatibility	NOUN
cana-1857	250	11	with	with	ADP
cana-1857	250	12	natural	natural	ADJ
cana-1857	250	13	language	language	NOUN
cana-1857	250	14	process	process	NOUN
cana-1857	250	15	ing	ing	NOUN
cana-1857	250	16	libraries	library	NOUN
cana-1857	250	17	like	like	ADP
cana-1857	250	18	tf.text	tf.text	PRON
cana-1857	250	19	and	and	CCONJ
cana-1857	250	20	tf.hub	tf.hub	PROPN
cana-1857	250	21	allows	allow	VERB
cana-1857	250	22	for	for	ADP
cana-1857	250	23	more	more	ADV
cana-1857	250	24	advanced	advanced	ADJ
cana-1857	250	25	text	text	NOUN
cana-1857	250	26	processing	processing	NOUN
cana-1857	250	27	techniques	technique	NOUN
cana-1857	250	28	.	.	PUNCT
cana-1857	251	1	these	these	DET
cana-1857	251	2	libraries	library	NOUN
cana-1857	251	3	offer	offer	VERB
cana-1857	251	4	pre	pre	VERB
cana-1857	251	5	-	-	ADJ
cana-1857	251	6	built	build	VERB
cana-1857	251	7	text	text	NOUN
cana-1857	251	8	processing	processing	NOUN
cana-1857	251	9	operations	operation	NOUN
cana-1857	251	10	and	and	CCONJ
cana-1857	251	11	pre	pre	ADJ
cana-1857	251	12	-	-	ADJ
cana-1857	251	13	trained	train	VERB
cana-1857	251	14	models	model	NOUN
cana-1857	251	15	that	that	PRON
cana-1857	251	16	can	can	AUX
cana-1857	251	17	be	be	AUX
cana-1857	251	18	fine	fine	ADV
cana-1857	251	19	-	-	PUNCT
cana-1857	251	20	tuned	tune	VERB
cana-1857	251	21	for	for	ADP
cana-1857	251	22	the	the	DET
cana-1857	251	23	specific	specific	ADJ
cana-1857	251	24	task	task	NOUN
cana-1857	251	25	of	of	ADP
cana-1857	251	26	educational	educational	ADJ
cana-1857	251	27	sentiment	sentiment	NOUN
cana-1857	251	28	analysis	analysis	NOUN
cana-1857	251	29	.	.	PUNCT
cana-1857	252	1	5	5	X
cana-1857	252	2	)	)	PUNCT
cana-1857	252	3	tensorflow	tensorflow	NOUN
cana-1857	252	4	extended	extend	VERB
cana-1857	252	5	(	(	PUNCT
cana-1857	252	6	tfx	tfx	PROPN
cana-1857	252	7	)	)	PUNCT
cana-1857	252	8	for	for	ADP
cana-1857	252	9	end	end	NOUN
cana-1857	252	10	-	-	PUNCT
cana-1857	252	11	to	to	ADP
cana-1857	252	12	-	-	PUNCT
cana-1857	252	13	end	end	NOUN
cana-1857	252	14	ml	ml	ADP
cana-1857	252	15	pipelines	pipeline	NOUN
cana-1857	252	16	:	:	PUNCT
cana-1857	252	17	to	to	PART
cana-1857	252	18	create	create	VERB
cana-1857	252	19	a	a	DET
cana-1857	252	20	seamless	seamless	ADJ
cana-1857	252	21	end	end	NOUN
cana-1857	252	22	-	-	PUNCT
cana-1857	252	23	toend	toend	NOUN
cana-1857	252	24	machine	machine	NOUN
cana-1857	252	25	learning	learn	VERB
cana-1857	252	26	pipeline	pipeline	NOUN
cana-1857	252	27	,	,	PUNCT
cana-1857	252	28	tensorflow	tensorflow	NOUN
cana-1857	252	29	extended	extend	VERB
cana-1857	252	30	(	(	PUNCT
cana-1857	252	31	tfx	tfx	PROPN
cana-1857	252	32	)	)	PUNCT
cana-1857	252	33	is	be	AUX
cana-1857	252	34	employed	employ	VERB
cana-1857	252	35	.	.	PUNCT
cana-1857	253	1	tfx	tfx	PROPN
cana-1857	253	2	is	be	AUX
cana-1857	253	3	a	a	DET
cana-1857	253	4	productionready	productionready	ADJ
cana-1857	253	5	machine	machine	NOUN
cana-1857	253	6	learning	learn	VERB
cana-1857	253	7	platform	platform	NOUN
cana-1857	253	8	that	that	PRON
cana-1857	253	9	enables	enable	VERB
cana-1857	253	10	the	the	DET
cana-1857	253	11	deployment	deployment	NOUN
cana-1857	253	12	of	of	ADP
cana-1857	253	13	robust	robust	ADJ
cana-1857	253	14	,	,	PUNCT
cana-1857	253	15	high	high	ADJ
cana-1857	253	16	-	-	PUNCT
cana-1857	253	17	quality	quality	NOUN
cana-1857	253	18	models	model	NOUN
cana-1857	253	19	.	.	PUNCT
cana-1857	254	1	in	in	ADP
cana-1857	254	2	our	our	PRON
cana-1857	254	3	tensorflow	tensorflow	NOUN
cana-1857	254	4	extended	extend	VERB
cana-1857	254	5	(	(	PUNCT
cana-1857	254	6	tfx	tfx	ADJ
cana-1857	254	7	)	)	PUNCT
cana-1857	254	8	pipeline	pipeline	NOUN
cana-1857	254	9	,	,	PUNCT
cana-1857	254	10	various	various	ADJ
cana-1857	254	11	components	component	NOUN
cana-1857	254	12	are	be	AUX
cana-1857	254	13	meticulously	meticulously	ADV
cana-1857	254	14	orchestrated	orchestrate	VERB
cana-1857	254	15	to	to	PART
cana-1857	254	16	ensure	ensure	VERB
cana-1857	254	17	a	a	DET
cana-1857	254	18	seamless	seamless	ADJ
cana-1857	254	19	machine	machine	NOUN
cana-1857	254	20	learning	learn	VERB
cana-1857	254	21	workflow	workflow	NOUN
cana-1857	254	22	.	.	PUNCT
cana-1857	255	1	examplegen	examplegen	PROPN
cana-1857	255	2	is	be	AUX
cana-1857	255	3	the	the	DET
cana-1857	255	4	first	first	ADJ
cana-1857	255	5	in	in	ADP
cana-1857	255	6	line	line	NOUN
cana-1857	255	7	,	,	PUNCT
cana-1857	255	8	responsible	responsible	ADJ
cana-1857	255	9	for	for	ADP
cana-1857	255	10	ingesting	ingest	VERB
cana-1857	255	11	data	datum	NOUN
cana-1857	255	12	into	into	ADP
cana-1857	255	13	the	the	DET
cana-1857	255	14	pipeline	pipeline	NOUN
cana-1857	255	15	.	.	PUNCT
cana-1857	256	1	following	follow	VERB
cana-1857	256	2	this	this	PRON
cana-1857	256	3	,	,	PUNCT
cana-1857	256	4	statisticsgen	statisticsgen	PROPN
cana-1857	256	5	computes	compute	VERB
cana-1857	256	6	essential	essential	ADJ
cana-1857	256	7	statistics	statistic	NOUN
cana-1857	256	8	for	for	ADP
cana-1857	256	9	the	the	DET
cana-1857	256	10	ingested	ingest	VERB
cana-1857	256	11	dataset	dataset	NOUN
cana-1857	256	12	,	,	PUNCT
cana-1857	256	13	laying	lay	VERB
cana-1857	256	14	the	the	DET
cana-1857	256	15	groundwork	groundwork	NOUN
cana-1857	256	16	for	for	ADP
cana-1857	256	17	feature	feature	NOUN
cana-1857	256	18	engineering	engineering	NOUN
cana-1857	256	19	.	.	PUNCT
cana-1857	257	1	schemagen	schemagen	PROPN
cana-1857	257	2	examines	examine	VERB
cana-1857	257	3	these	these	DET
cana-1857	257	4	statistics	statistic	NOUN
cana-1857	257	5	to	to	PART
cana-1857	257	6	create	create	VERB
cana-1857	257	7	a	a	DET
cana-1857	257	8	schema	schema	NOUN
cana-1857	257	9	for	for	ADP
cana-1857	257	10	the	the	DET
cana-1857	257	11	dataset	dataset	NOUN
cana-1857	257	12	,	,	PUNCT
cana-1857	257	13	ensuring	ensure	VERB
cana-1857	257	14	that	that	SCONJ
cana-1857	257	15	the	the	DET
cana-1857	257	16	data	data	NOUN
cana-1857	257	17	is	be	AUX
cana-1857	257	18	in	in	ADP
cana-1857	257	19	a	a	DET
cana-1857	257	20	format	format	NOUN
cana-1857	257	21	amenable	amenable	ADJ
cana-1857	257	22	to	to	ADP
cana-1857	257	23	machine	machine	NOUN
cana-1857	257	24	learning	learning	NOUN
cana-1857	257	25	algorithms	algorithm	NOUN
cana-1857	257	26	.	.	PUNCT
cana-1857	258	1	examplevalidator	examplevalidator	PROPN
cana-1857	258	2	scrutinizes	scrutinize	VERB
cana-1857	258	3	the	the	DET
cana-1857	258	4	data	datum	NOUN
cana-1857	258	5	for	for	ADP
cana-1857	258	6	quality	quality	NOUN
cana-1857	258	7	,	,	PUNCT
cana-1857	258	8	identifying	identify	VERB
cana-1857	258	9	any	any	DET
cana-1857	258	10	anomalies	anomaly	NOUN
cana-1857	258	11	or	or	CCONJ
cana-1857	258	12	missing	miss	VERB
cana-1857	258	13	values	value	NOUN
cana-1857	258	14	that	that	PRON
cana-1857	258	15	could	could	AUX
cana-1857	258	16	compromise	compromise	VERB
cana-1857	258	17	the	the	DET
cana-1857	258	18	model	model	NOUN
cana-1857	258	19	’s	’s	PART
cana-1857	258	20	performance	performance	NOUN
cana-1857	258	21	.	.	PUNCT
cana-1857	259	1	result	result	VERB
cana-1857	259	2	a.	a.	PROPN
cana-1857	259	3	lexicon	lexicon	PROPN
cana-1857	259	4	-	-	PUNCT
cana-1857	259	5	based	base	VERB
cana-1857	259	6	results	result	NOUN
cana-1857	259	7	in	in	ADP
cana-1857	259	8	our	our	PRON
cana-1857	259	9	research	research	NOUN
cana-1857	259	10	,	,	PUNCT
cana-1857	259	11	feature	feature	NOUN
cana-1857	259	12	engineering	engineering	NOUN
cana-1857	259	13	emerged	emerge	VERB
cana-1857	259	14	as	as	ADP
cana-1857	259	15	a	a	DET
cana-1857	259	16	cornerstone	cornerstone	NOUN
cana-1857	259	17	for	for	ADP
cana-1857	259	18	boosting	boost	VERB
cana-1857	259	19	the	the	DET
cana-1857	259	20	model	model	NOUN
cana-1857	259	21	’s	’s	PART
cana-1857	259	22	performance	performance	NOUN
cana-1857	259	23	.	.	PUNCT
cana-1857	260	1	beyond	beyond	ADP
cana-1857	260	2	the	the	DET
cana-1857	260	3	conventional	conventional	ADJ
cana-1857	260	4	term	term	NOUN
cana-1857	260	5	frequency	frequency	NOUN
cana-1857	260	6	-	-	PUNCT
cana-1857	260	7	inverse	inverse	NOUN
cana-1857	260	8	document	document	NOUN
cana-1857	260	9	frequency	frequency	NOUN
cana-1857	260	10	(	(	PUNCT
cana-1857	260	11	tf	tf	PROPN
cana-1857	260	12	-	-	PUNCT
cana-1857	260	13	idf	idf	NOUN
cana-1857	260	14	)	)	PUNCT
cana-1857	260	15	scores	score	NOUN
cana-1857	260	16	,	,	PUNCT
cana-1857	260	17	we	we	PRON
cana-1857	260	18	incorporated	incorporate	VERB
cana-1857	260	19	a	a	DET
cana-1857	260	20	multifaceted	multifaceted	ADJ
cana-1857	260	21	set	set	NOUN
cana-1857	260	22	of	of	ADP
cana-1857	260	23	features	feature	NOUN
cana-1857	260	24	to	to	PART
cana-1857	260	25	enrich	enrich	VERB
cana-1857	260	26	the	the	DET
cana-1857	260	27	model	model	NOUN
cana-1857	260	28	’s	’s	PART
cana-1857	260	29	understanding	understanding	NOUN
cana-1857	260	30	of	of	ADP
cana-1857	260	31	the	the	DET
cana-1857	260	32	data	datum	NOUN
cana-1857	260	33	.	.	PUNCT
cana-1857	261	1	for	for	ADP
cana-1857	261	2	instance	instance	NOUN
cana-1857	261	3	,	,	PUNCT
cana-1857	261	4	we	we	PRON
cana-1857	261	5	calculated	calculate	VERB
cana-1857	261	6	the	the	DET
cana-1857	261	7	sentiment	sentiment	NOUN
cana-1857	261	8	intensity	intensity	NOUN
cana-1857	261	9	of	of	ADP
cana-1857	261	10	each	each	DET
cana-1857	261	11	feedback	feedback	NOUN
cana-1857	261	12	entry	entry	NOUN
cana-1857	261	13	using	use	VERB
cana-1857	261	14	our	our	PRON
cana-1857	261	15	custom	custom	ADV
cana-1857	261	16	-	-	PUNCT
cana-1857	261	17	built	build	VERB
cana-1857	261	18	educational	educational	ADJ
cana-1857	261	19	sentiment	sentiment	NOUN
cana-1857	261	20	lexicon	lexicon	NOUN
cana-1857	261	21	(	(	PUNCT
cana-1857	261	22	esl	esl	PROPN
cana-1857	261	23	)	)	PUNCT
cana-1857	261	24	,	,	PUNCT
cana-1857	261	25	which	which	PRON
cana-1857	261	26	is	be	AUX
cana-1857	261	27	tailored	tailor	VERB
cana-1857	261	28	for	for	ADP
cana-1857	261	29	educational	educational	ADJ
cana-1857	261	30	settings	setting	NOUN
cana-1857	261	31	.	.	PUNCT
cana-1857	262	1	to	to	PART
cana-1857	262	2	delve	delve	VERB
cana-1857	262	3	into	into	ADP
cana-1857	262	4	the	the	DET
cana-1857	262	5	semantic	semantic	ADJ
cana-1857	262	6	nuances	nuance	NOUN
cana-1857	262	7	between	between	ADP
cana-1857	262	8	words	word	NOUN
cana-1857	262	9	,	,	PUNCT
cana-1857	262	10	we	we	PRON
cana-1857	262	11	utilized	utilize	VERB
cana-1857	262	12	pre	pre	ADJ
cana-1857	262	13	-	-	ADJ
cana-1857	262	14	trained	train	VERB
cana-1857	262	15	glove	glove	NOUN
cana-1857	262	16	vectors	vector	NOUN
cana-1857	262	17	,	,	PUNCT
cana-1857	262	18	adding	add	VERB
cana-1857	262	19	an	an	DET
cana-1857	262	20	extra	extra	ADJ
cana-1857	262	21	layer	layer	NOUN
cana-1857	262	22	of	of	ADP
cana-1857	262	23	contextual	contextual	ADJ
cana-1857	262	24	comprehension	comprehension	NOUN
cana-1857	262	25	to	to	ADP
cana-1857	262	26	our	our	PRON
cana-1857	262	27	model	model	NOUN
cana-1857	262	28	.	.	PUNCT
cana-1857	263	1	we	we	PRON
cana-1857	263	2	also	also	ADV
cana-1857	263	3	added	add	VERB
cana-1857	263	4	features	feature	NOUN
cana-1857	263	5	that	that	PRON
cana-1857	263	6	allowed	allow	VERB
cana-1857	263	7	our	our	PRON
cana-1857	263	8	model	model	NOUN
cana-1857	263	9	to	to	PART
cana-1857	263	10	pick	pick	VERB
cana-1857	263	11	up	up	ADP
cana-1857	263	12	on	on	ADP
cana-1857	263	13	grammatical	grammatical	ADJ
cana-1857	263	14	nuances	nuance	NOUN
cana-1857	263	15	within	within	ADP
cana-1857	263	16	feedback	feedback	NOUN
cana-1857	263	17	in	in	ADP
cana-1857	263	18	order	order	NOUN
cana-1857	263	19	to	to	PART
cana-1857	263	20	enhance	enhance	VERB
cana-1857	263	21	its	its	PRON
cana-1857	263	22	predictive	predictive	ADJ
cana-1857	263	23	accuracy	accuracy	NOUN
cana-1857	263	24	1	1	NUM
cana-1857	263	25	)	)	PUNCT
cana-1857	263	26	feature	feature	NOUN
cana-1857	263	27	engineering	engineering	NOUN
cana-1857	263	28	and	and	CCONJ
cana-1857	263	29	selection	selection	NOUN
cana-1857	263	30	:	:	PUNCT
cana-1857	263	31	the	the	DET
cana-1857	263	32	role	role	NOUN
cana-1857	263	33	of	of	ADP
cana-1857	263	34	feature	feature	NOUN
cana-1857	263	35	engineering	engineering	NOUN
cana-1857	263	36	was	be	AUX
cana-1857	263	37	crucial	crucial	ADJ
cana-1857	263	38	in	in	ADP
cana-1857	263	39	upgrading	upgrade	VERB
cana-1857	263	40	the	the	DET
cana-1857	263	41	performance	performance	NOUN
cana-1857	263	42	metrics	metric	NOUN
cana-1857	263	43	of	of	ADP
cana-1857	263	44	our	our	PRON
cana-1857	263	45	model	model	NOUN
cana-1857	263	46	.	.	PUNCT
cana-1857	264	1	we	we	PRON
cana-1857	264	2	did	do	VERB
cana-1857	264	3	more	more	ADJ
cana-1857	264	4	than	than	SCONJ
cana-1857	264	5	use	use	VERB
cana-1857	264	6	term	term	NOUN
cana-1857	264	7	frequency	frequency	NOUN
cana-1857	264	8	inverse	inverse	NOUN
cana-1857	264	9	document	document	NOUN
cana-1857	264	10	frequency	frequency	NOUN
cana-1857	264	11	(	(	PUNCT
cana-1857	264	12	tf	tf	PROPN
cana-1857	264	13	-	-	PUNCT
cana-1857	264	14	idf	idf	NOUN
cana-1857	264	15	)	)	PUNCT
cana-1857	264	16	for	for	ADP
cana-1857	264	17	this	this	PRON
cana-1857	264	18	,	,	PUNCT
cana-1857	264	19	we	we	PRON
cana-1857	264	20	took	take	VERB
cana-1857	264	21	a	a	DET
cana-1857	264	22	lot	lot	NOUN
cana-1857	264	23	of	of	ADP
cana-1857	264	24	time	time	NOUN
cana-1857	264	25	to	to	PART
cana-1857	264	26	think	think	VERB
cana-1857	264	27	about	about	ADP
cana-1857	264	28	how	how	SCONJ
cana-1857	264	29	we	we	PRON
cana-1857	264	30	could	could	AUX
cana-1857	264	31	improve	improve	VERB
cana-1857	264	32	the	the	DET
cana-1857	264	33	data	datum	NOUN
cana-1857	264	34	.	.	PUNCT
cana-1857	265	1	the	the	DET
cana-1857	265	2	first	first	ADJ
cana-1857	265	3	thing	thing	NOUN
cana-1857	265	4	we	we	PRON
cana-1857	265	5	came	come	VERB
cana-1857	265	6	up	up	ADP
cana-1857	265	7	with	with	ADP
cana-1857	265	8	was	be	AUX
cana-1857	265	9	an	an	DET
cana-1857	265	10	educational	educational	ADJ
cana-1857	265	11	sentiment	sentiment	NOUN
cana-1857	265	12	lexicon	lexicon	NOUN
cana-1857	265	13	(	(	PUNCT
cana-1857	265	14	esl	esl	PROPN
cana-1857	265	15	)	)	PUNCT
cana-1857	265	16	that	that	PRON
cana-1857	265	17	measures	measure	VERB
cana-1857	265	18	how	how	SCONJ
cana-1857	265	19	emotional	emotional	ADJ
cana-1857	265	20	a	a	DET
cana-1857	265	21	piece	piece	NOUN
cana-1857	265	22	of	of	ADP
cana-1857	265	23	feedback	feedback	NOUN
cana-1857	265	24	is	be	AUX
cana-1857	265	25	.	.	PUNCT
cana-1857	266	1	this	this	PRON
cana-1857	266	2	gave	give	VERB
cana-1857	266	3	us	we	PRON
cana-1857	266	4	a	a	DET
cana-1857	266	5	way	way	NOUN
cana-1857	266	6	better	well	ADJ
cana-1857	266	7	look	look	VERB
cana-1857	266	8	into	into	ADP
cana-1857	266	9	the	the	DET
cana-1857	266	10	context	context	NOUN
cana-1857	266	11	of	of	ADP
cana-1857	266	12	every	every	DET
cana-1857	266	13	piece	piece	NOUN
cana-1857	266	14	.	.	PUNCT
cana-1857	267	1	2	2	X
cana-1857	267	2	)	)	PUNCT
cana-1857	267	3	model	model	NOUN
cana-1857	267	4	training	training	NOUN
cana-1857	267	5	and	and	CCONJ
cana-1857	267	6	validation	validation	NOUN
cana-1857	267	7	:	:	PUNCT
cana-1857	267	8	the	the	DET
cana-1857	267	9	model	model	NOUN
cana-1857	267	10	’s	’s	PART
cana-1857	267	11	training	training	NOUN
cana-1857	267	12	leveraged	leverage	VERB
cana-1857	267	13	a	a	DET
cana-1857	267	14	support	support	NOUN
cana-1857	267	15	vector	vector	NOUN
cana-1857	267	16	machine	machine	NOUN
cana-1857	267	17	(	(	PUNCT
cana-1857	267	18	svm	svm	ADJ
cana-1857	267	19	)	)	PUNCT
cana-1857	267	20	classifier	classifier	NOUN
cana-1857	267	21	equipped	equip	VERB
cana-1857	267	22	with	with	ADP
cana-1857	267	23	a	a	DET
cana-1857	267	24	radial	radial	ADJ
cana-1857	267	25	basis	basis	NOUN
cana-1857	267	26	function	function	NOUN
cana-1857	267	27	(	(	PUNCT
cana-1857	267	28	rbf	rbf	PROPN
cana-1857	267	29	)	)	PUNCT
cana-1857	267	30	kernel	kernel	PROPN
cana-1857	267	31	.	.	PUNCT
cana-1857	268	1	to	to	ADP
cana-1857	268	2	fine	fine	ADJ
cana-1857	268	3	-	-	PUNCT
cana-1857	268	4	tune	tune	NOUN
cana-1857	268	5	the	the	DET
cana-1857	268	6	hyperparameters	hyperparameter	NOUN
cana-1857	268	7	,	,	PUNCT
cana-1857	268	8	we	we	PRON
cana-1857	268	9	employed	employ	VERB
cana-1857	268	10	a	a	DET
cana-1857	268	11	grid	grid	NOUN
cana-1857	268	12	search	search	NOUN
cana-1857	268	13	methodology	methodology	NOUN
cana-1857	268	14	coupled	couple	VERB
cana-1857	268	15	with	with	ADP
cana-1857	268	16	5	5	NUM
cana-1857	268	17	-	-	ADJ
cana-1857	268	18	fold	fold	ADJ
cana-1857	268	19	cross	cross	NOUN
cana-1857	268	20	-	-	NOUN
cana-1857	268	21	validation	validation	ADJ
cana-1857	268	22	,	,	PUNCT
cana-1857	268	23	ultimately	ultimately	ADV
cana-1857	268	24	settling	settle	VERB
cana-1857	268	25	on	on	ADP
cana-1857	268	26	optimal	optimal	ADJ
cana-1857	268	27	parameters	parameter	NOUN
cana-1857	268	28	of	of	ADP
cana-1857	268	29	c=1.0	c=1.0	PROPN
cana-1857	268	30	and	and	CCONJ
cana-1857	268	31	gamma=0.1	gamma=0.1	PROPN
cana-1857	268	32	.	.	PROPN
cana-1857	269	1	for	for	ADP
cana-1857	269	2	a	a	DET
cana-1857	269	3	holistic	holistic	ADJ
cana-1857	269	4	evaluation	evaluation	NOUN
cana-1857	269	5	of	of	ADP
cana-1857	269	6	the	the	DET
cana-1857	269	7	model	model	NOUN
cana-1857	269	8	’s	’s	PART
cana-1857	269	9	performance	performance	NOUN
cana-1857	269	10	,	,	PUNCT
cana-1857	269	11	we	we	PRON
cana-1857	269	12	utilized	utilize	VERB
cana-1857	269	13	an	an	DET
cana-1857	269	14	array	array	NOUN
cana-1857	269	15	of	of	ADP
cana-1857	269	16	metrics	metric	NOUN
cana-1857	269	17	.	.	PUNCT
cana-1857	270	1	the	the	DET
cana-1857	270	2	model	model	NOUN
cana-1857	270	3	achieved	achieve	VERB
cana-1857	270	4	an	an	DET
cana-1857	270	5	accuracy	accuracy	NOUN
cana-1857	270	6	of	of	ADP
cana-1857	270	7	85	85	NUM
cana-1857	270	8	%	%	NOUN
cana-1857	270	9	,	,	PUNCT
cana-1857	270	10	underscoring	underscore	VERB
cana-1857	270	11	its	its	PRON
cana-1857	270	12	reliability	reliability	NOUN
cana-1857	270	13	.	.	PUNCT
cana-1857	271	1	further	far	ADV
cana-1857	271	2	,	,	PUNCT
cana-1857	271	3	it	it	PRON
cana-1857	271	4	posted	post	VERB
cana-1857	271	5	a	a	DET
cana-1857	271	6	precision	precision	NOUN
cana-1857	271	7	of	of	ADP
cana-1857	271	8	0.82	0.82	NUM
cana-1857	271	9	,	,	PUNCT
cana-1857	271	10	a	a	DET
cana-1857	271	11	recall	recall	NOUN
cana-1857	271	12	of	of	ADP
cana-1857	271	13	0.81	0.81	NUM
cana-1857	271	14	,	,	PUNCT
cana-1857	271	15	and	and	CCONJ
cana-1857	271	16	an	an	DET
cana-1857	271	17	f1	f1	NOUN
cana-1857	271	18	-	-	PUNCT
cana-1857	271	19	score	score	NOUN
cana-1857	271	20	of	of	ADP
cana-1857	271	21	0.815	0.815	NUM
cana-1857	271	22	,	,	PUNCT
cana-1857	271	23	highlighting	highlight	VERB
cana-1857	271	24	its	its	PRON
cana-1857	271	25	balanced	balanced	ADJ
cana-1857	271	26	performance	performance	NOUN
cana-1857	271	27	across	across	ADP
cana-1857	271	28	different	different	ADJ
cana-1857	271	29	aspects	aspect	NOUN
cana-1857	271	30	of	of	ADP
cana-1857	271	31	classification	classification	NOUN
cana-1857	271	32	.	.	PUNCT
cana-1857	272	1	the	the	DET
cana-1857	272	2	area	area	NOUN
cana-1857	272	3	under	under	ADP
cana-1857	272	4	the	the	DET
cana-1857	272	5	receiver	receiver	ADJ
cana-1857	272	6	communications	communication	NOUN
cana-1857	272	7	on	on	ADP
cana-1857	272	8	applied	apply	VERB
cana-1857	272	9	nonlinear	nonlinear	ADJ
cana-1857	272	10	analysis	analysis	NOUN
cana-1857	272	11	issn	issn	NOUN
cana-1857	272	12	:	:	PUNCT
cana-1857	272	13	1074	1074	NUM
cana-1857	272	14	-	-	PUNCT
cana-1857	272	15	133x	133x	NUM
cana-1857	272	16	vol	vol	NOUN
cana-1857	272	17	32	32	NUM
cana-1857	272	18	no	no	NOUN
cana-1857	272	19	.	.	NOUN
cana-1857	272	20	2	2	NUM
cana-1857	272	21	(	(	PUNCT
cana-1857	272	22	2025	2025	NUM
cana-1857	272	23	)	)	PUNCT
cana-1857	272	24	623	623	NUM
cana-1857	272	25	https://internationalpubls.com	https://internationalpubls.com	X
cana-1857	272	26	operating	operate	VERB
cana-1857	272	27	characteristic	characteristic	NOUN
cana-1857	272	28	(	(	PUNCT
cana-1857	272	29	auc	auc	NOUN
cana-1857	272	30	-	-	PUNCT
cana-1857	272	31	roc	roc	NOUN
cana-1857	272	32	)	)	PUNCT
cana-1857	272	33	curve	curve	NOUN
cana-1857	272	34	stood	stand	VERB
cana-1857	272	35	at	at	ADP
cana-1857	272	36	0.88	0.88	NUM
cana-1857	272	37	,	,	PUNCT
cana-1857	272	38	signifying	signify	VERB
cana-1857	272	39	a	a	DET
cana-1857	272	40	strong	strong	ADJ
cana-1857	272	41	capability	capability	NOUN
cana-1857	272	42	for	for	ADP
cana-1857	272	43	class	class	NOUN
cana-1857	272	44	separability	separability	NOUN
cana-1857	272	45	.	.	PUNCT
cana-1857	273	1	additionally	additionally	ADV
cana-1857	273	2	,	,	PUNCT
cana-1857	273	3	a	a	DET
cana-1857	273	4	cohen	cohen	NOUN
cana-1857	273	5	’s	’s	PART
cana-1857	273	6	kappa	kappa	PROPN
cana-1857	273	7	score	score	NOUN
cana-1857	273	8	of	of	ADP
cana-1857	273	9	0.7	0.7	NUM
cana-1857	273	10	was	be	AUX
cana-1857	273	11	recorded	record	VERB
cana-1857	273	12	,	,	PUNCT
cana-1857	273	13	indicating	indicate	VERB
cana-1857	273	14	a	a	DET
cana-1857	273	15	substantial	substantial	ADJ
cana-1857	273	16	level	level	NOUN
cana-1857	273	17	of	of	ADP
cana-1857	273	18	agreement	agreement	NOUN
cana-1857	273	19	between	between	ADP
cana-1857	273	20	the	the	DET
cana-1857	273	21	predicted	predict	VERB
cana-1857	273	22	and	and	CCONJ
cana-1857	273	23	actual	actual	ADJ
cana-1857	273	24	labels	label	NOUN
cana-1857	273	25	,	,	PUNCT
cana-1857	273	26	even	even	ADV
cana-1857	273	27	when	when	SCONJ
cana-1857	273	28	accounting	account	VERB
cana-1857	273	29	for	for	ADP
cana-1857	273	30	random	random	ADJ
cana-1857	273	31	chance	chance	NOUN
cana-1857	273	32	.	.	PUNCT
cana-1857	274	1	fig	fig	NOUN
cana-1857	274	2	.	.	PUNCT
cana-1857	275	1	2	2	X
cana-1857	275	2	.	.	X
cana-1857	275	3	comparison	comparison	NOUN
cana-1857	275	4	of	of	ADP
cana-1857	275	5	accuracy	accuracy	NOUN
cana-1857	275	6	of	of	ADP
cana-1857	275	7	different	different	ADJ
cana-1857	275	8	models	model	NOUN
cana-1857	275	9	evaluation	evaluation	NOUN
cana-1857	275	10	metrics	metric	NOUN
cana-1857	275	11	and	and	CCONJ
cana-1857	275	12	results	result	NOUN
cana-1857	275	13	:	:	PUNCT
cana-1857	275	14	the	the	DET
cana-1857	275	15	hybrid	hybrid	NOUN
cana-1857	275	16	model	model	NOUN
cana-1857	275	17	has	have	AUX
cana-1857	275	18	set	set	VERB
cana-1857	275	19	a	a	DET
cana-1857	275	20	new	new	ADJ
cana-1857	275	21	standard	standard	NOUN
cana-1857	275	22	in	in	ADP
cana-1857	275	23	the	the	DET
cana-1857	275	24	field	field	NOUN
cana-1857	275	25	of	of	ADP
cana-1857	275	26	educational	educational	ADJ
cana-1857	275	27	sentiment	sentiment	NOUN
cana-1857	275	28	analysis	analysis	NOUN
cana-1857	275	29	,	,	PUNCT
cana-1857	275	30	achieving	achieve	VERB
cana-1857	275	31	an	an	DET
cana-1857	275	32	unparalleled	unparalleled	ADJ
cana-1857	275	33	accuracy	accuracy	NOUN
cana-1857	275	34	of	of	ADP
cana-1857	275	35	98.5	98.5	NUM
cana-1857	275	36	%	%	NOUN
cana-1857	275	37	.	.	PUNCT
cana-1857	276	1	in	in	ADP
cana-1857	276	2	line	line	NOUN
cana-1857	276	3	with	with	ADP
cana-1857	276	4	this	this	DET
cana-1857	276	5	remarkable	remarkable	ADJ
cana-1857	276	6	accuracy	accuracy	NOUN
cana-1857	276	7	,	,	PUNCT
cana-1857	276	8	the	the	DET
cana-1857	276	9	model	model	NOUN
cana-1857	276	10	also	also	ADV
cana-1857	276	11	posted	post	VERB
cana-1857	276	12	near	near	ADV
cana-1857	276	13	-	-	PUNCT
cana-1857	276	14	perfect	perfect	ADJ
cana-1857	276	15	scores	score	NOUN
cana-1857	276	16	in	in	ADP
cana-1857	276	17	other	other	ADJ
cana-1857	276	18	key	key	ADJ
cana-1857	276	19	metrics	metric	NOUN
cana-1857	276	20	.	.	PUNCT
cana-1857	277	1	precision	precision	NOUN
cana-1857	277	2	of	of	ADP
cana-1857	277	3	0.985	0.985	NUM
cana-1857	277	4	,	,	PUNCT
cana-1857	277	5	a	a	DET
cana-1857	277	6	recall	recall	NOUN
cana-1857	277	7	of	of	ADP
cana-1857	277	8	0.985	0.985	NUM
cana-1857	277	9	,	,	PUNCT
cana-1857	277	10	and	and	CCONJ
cana-1857	277	11	an	an	DET
cana-1857	277	12	f1	f1	NOUN
cana-1857	277	13	-	-	PUNCT
cana-1857	277	14	score	score	NOUN
cana-1857	277	15	of	of	ADP
cana-1857	277	16	0.985	0.985	NUM
cana-1857	277	17	.	.	PUNCT
cana-1857	278	1	the	the	DET
cana-1857	278	2	auc	auc	NOUN
cana-1857	278	3	-	-	PUNCT
cana-1857	278	4	roc	roc	NOUN
cana-1857	278	5	score	score	NOUN
cana-1857	278	6	reached	reach	VERB
cana-1857	278	7	an	an	DET
cana-1857	278	8	almost	almost	ADV
cana-1857	278	9	perfect	perfect	ADJ
cana-1857	278	10	0.995	0.995	NUM
cana-1857	278	11	,	,	PUNCT
cana-1857	278	12	further	far	ADV
cana-1857	278	13	attesting	attest	VERB
cana-1857	278	14	to	to	ADP
cana-1857	278	15	the	the	DET
cana-1857	278	16	model	model	NOUN
cana-1857	278	17	’s	’s	PART
cana-1857	278	18	robustness	robustness	NOUN
cana-1857	278	19	and	and	CCONJ
cana-1857	278	20	its	its	PRON
cana-1857	278	21	exceptional	exceptional	ADJ
cana-1857	278	22	ability	ability	NOUN
cana-1857	278	23	to	to	PART
cana-1857	278	24	distinguish	distinguish	VERB
cana-1857	278	25	between	between	ADP
cana-1857	278	26	classes	class	NOUN
cana-1857	278	27	effectively	effectively	ADV
cana-1857	278	28	.	.	PUNCT
cana-1857	279	1	additionally	additionally	ADV
cana-1857	279	2	,	,	PUNCT
cana-1857	279	3	the	the	DET
cana-1857	279	4	model	model	NOUN
cana-1857	279	5	demonstrated	demonstrate	VERB
cana-1857	279	6	high	high	ADJ
cana-1857	279	7	confidence	confidence	NOUN
cana-1857	279	8	in	in	ADP
cana-1857	279	9	its	its	PRON
cana-1857	279	10	predictions	prediction	NOUN
cana-1857	279	11	,	,	PUNCT
cana-1857	279	12	as	as	SCONJ
cana-1857	279	13	indicated	indicate	VERB
cana-1857	279	14	by	by	ADP
cana-1857	279	15	a	a	DET
cana-1857	279	16	log	log	NOUN
cana-1857	279	17	loss	loss	NOUN
cana-1857	279	18	metric	metric	NOUN
cana-1857	279	19	of	of	ADP
cana-1857	279	20	just	just	ADV
cana-1857	279	21	0.025	0.025	NUM
cana-1857	279	22	.	.	PUNCT
cana-1857	280	1	these	these	DET
cana-1857	280	2	results	result	NOUN
cana-1857	280	3	collectively	collectively	ADV
cana-1857	280	4	underscore	underscore	VERB
cana-1857	280	5	the	the	DET
cana-1857	280	6	hybrid	hybrid	NOUN
cana-1857	280	7	model	model	NOUN
cana-1857	280	8	’s	’s	PART
cana-1857	280	9	unparalleled	unparalleled	ADJ
cana-1857	280	10	performance	performance	NOUN
cana-1857	280	11	and	and	CCONJ
cana-1857	280	12	reliability	reliability	NOUN
cana-1857	280	13	.	.	PUNCT
cana-1857	281	1	a	a	DET
cana-1857	281	2	visual	visual	ADJ
cana-1857	281	3	comparison	comparison	NOUN
cana-1857	281	4	of	of	ADP
cana-1857	281	5	the	the	DET
cana-1857	281	6	accuracy	accuracy	NOUN
cana-1857	281	7	achieved	achieve	VERB
cana-1857	281	8	by	by	ADP
cana-1857	281	9	different	different	ADJ
cana-1857	281	10	models	model	NOUN
cana-1857	281	11	,	,	PUNCT
cana-1857	281	12	including	include	VERB
cana-1857	281	13	the	the	DET
cana-1857	281	14	hybrid	hybrid	ADJ
cana-1857	281	15	model	model	NOUN
cana-1857	281	16	,	,	PUNCT
cana-1857	281	17	is	be	AUX
cana-1857	281	18	presented	present	VERB
cana-1857	281	19	in	in	ADP
cana-1857	281	20	figure	figure	NOUN
cana-1857	281	21	2	2	NUM
cana-1857	281	22	conclusion	conclusion	NOUN
cana-1857	281	23	this	this	DET
cana-1857	281	24	research	research	NOUN
cana-1857	281	25	embarked	embark	VERB
cana-1857	281	26	on	on	ADP
cana-1857	281	27	an	an	DET
cana-1857	281	28	ambitious	ambitious	ADJ
cana-1857	281	29	journey	journey	NOUN
cana-1857	281	30	to	to	PART
cana-1857	281	31	revolutionize	revolutionize	VERB
cana-1857	281	32	the	the	DET
cana-1857	281	33	field	field	NOUN
cana-1857	281	34	of	of	ADP
cana-1857	281	35	educational	educational	ADJ
cana-1857	281	36	sentiment	sentiment	NOUN
cana-1857	281	37	analysis	analysis	NOUN
cana-1857	281	38	,	,	PUNCT
cana-1857	281	39	particularly	particularly	ADV
cana-1857	281	40	focusing	focus	VERB
cana-1857	281	41	on	on	ADP
cana-1857	281	42	faculty	faculty	NOUN
cana-1857	281	43	evaluations	evaluation	NOUN
cana-1857	281	44	based	base	VERB
cana-1857	281	45	on	on	ADP
cana-1857	281	46	student	student	NOUN
cana-1857	281	47	feedback	feedback	NOUN
cana-1857	281	48	.	.	PUNCT
cana-1857	282	1	the	the	DET
cana-1857	282	2	cornerstone	cornerstone	NOUN
cana-1857	282	3	of	of	ADP
cana-1857	282	4	this	this	DET
cana-1857	282	5	research	research	NOUN
cana-1857	282	6	was	be	AUX
cana-1857	282	7	the	the	DET
cana-1857	282	8	development	development	NOUN
cana-1857	282	9	of	of	ADP
cana-1857	282	10	a	a	DET
cana-1857	282	11	hybrid	hybrid	ADJ
cana-1857	282	12	model	model	NOUN
cana-1857	282	13	that	that	PRON
cana-1857	282	14	synergistically	synergistically	ADV
cana-1857	282	15	combined	combine	VERB
cana-1857	282	16	lexicon	lexicon	NOUN
cana-1857	282	17	-	-	PUNCT
cana-1857	282	18	based	base	VERB
cana-1857	282	19	and	and	CCONJ
cana-1857	282	20	bert	bert	NOUN
cana-1857	282	21	-	-	PUNCT
cana-1857	282	22	based	base	VERB
cana-1857	282	23	approaches	approach	NOUN
cana-1857	282	24	.	.	PUNCT
cana-1857	283	1	this	this	DET
cana-1857	283	2	model	model	NOUN
cana-1857	283	3	was	be	AUX
cana-1857	283	4	designed	design	VERB
cana-1857	283	5	to	to	PART
cana-1857	283	6	address	address	VERB
cana-1857	283	7	the	the	DET
cana-1857	283	8	limitations	limitation	NOUN
cana-1857	283	9	of	of	ADP
cana-1857	283	10	existing	exist	VERB
cana-1857	283	11	methods	method	NOUN
cana-1857	283	12	by	by	ADP
cana-1857	283	13	leveraging	leverage	VERB
cana-1857	283	14	state	state	NOUN
cana-1857	283	15	-	-	PUNCT
cana-1857	283	16	of	of	ADP
cana-1857	283	17	-	-	PUNCT
cana-1857	283	18	the	the	DET
cana-1857	283	19	-	-	PUNCT
cana-1857	283	20	art	art	NOUN
cana-1857	283	21	machine	machine	NOUN
cana-1857	283	22	learning	learn	VERB
cana-1857	283	23	algorithms	algorithm	NOUN
cana-1857	283	24	and	and	CCONJ
cana-1857	283	25	natural	natural	ADJ
cana-1857	283	26	language	language	NOUN
cana-1857	283	27	processing	processing	NOUN
cana-1857	283	28	techniques	technique	NOUN
cana-1857	283	29	.	.	PUNCT
cana-1857	284	1	references	reference	NOUN
cana-1857	284	2	[	[	X
cana-1857	284	3	1	1	NUM
cana-1857	284	4	]	]	PUNCT
cana-1857	284	5	m.	m.	NOUN
cana-1857	284	6	wook	wook	NOUN
cana-1857	284	7	,	,	PUNCT
cana-1857	284	8	n.	n.	NOUN
cana-1857	284	9	a.	a.	PROPN
cana-1857	284	10	mat	mat	PROPN
cana-1857	284	11	razali	razali	PROPN
cana-1857	284	12	,	,	PUNCT
cana-1857	284	13	s.	s.	PROPN
cana-1857	284	14	ramli	ramli	PROPN
cana-1857	284	15	,	,	PUNCT
cana-1857	284	16	n.	n.	PROPN
cana-1857	284	17	abdul	abdul	PROPN
cana-1857	284	18	wahab	wahab	PROPN
cana-1857	284	19	,	,	PUNCT
cana-1857	284	20	n.	n.	PROPN
cana-1857	284	21	a.	a.	PROPN
cana-1857	284	22	hasbullah	hasbullah	PROPN
cana-1857	284	23	,	,	PUNCT
cana-1857	284	24	n.	n.	NOUN
cana-1857	284	25	mohd	mohd	PROPN
cana-1857	284	26	zainudin	zainudin	PROPN
cana-1857	284	27	,	,	PUNCT
cana-1857	284	28	and	and	CCONJ
cana-1857	284	29	m.	m.	PROPN
cana-1857	284	30	l.	l.	PROPN
cana-1857	284	31	talib	talib	PROPN
cana-1857	284	32	,	,	PUNCT
cana-1857	284	33	opinion	opinion	NOUN
cana-1857	284	34	mining	mining	NOUN
cana-1857	284	35	technique	technique	NOUN
cana-1857	284	36	for	for	ADP
cana-1857	284	37	developing	develop	VERB
cana-1857	284	38	student	student	NOUN
cana-1857	284	39	feedback	feedback	NOUN
cana-1857	284	40	analysis	analysis	NOUN
cana-1857	284	41	system	system	NOUN
cana-1857	284	42	using	use	VERB
cana-1857	284	43	lexicon	lexicon	NOUN
cana-1857	284	44	-	-	PUNCT
cana-1857	284	45	based	base	VERB
cana-1857	284	46	approach	approach	NOUN
cana-1857	284	47	(	(	PUNCT
cana-1857	284	48	omfeedback	omfeedback	NOUN
cana-1857	284	49	)	)	PUNCT
cana-1857	284	50	.	.	PUNCT
cana-1857	285	1	education	education	NOUN
cana-1857	285	2	and	and	CCONJ
cana-1857	285	3	information	information	NOUN
cana-1857	285	4	technologies	technology	NOUN
cana-1857	285	5	,	,	PUNCT
cana-1857	285	6	25	25	NUM
cana-1857	285	7	,	,	PUNCT
cana-1857	285	8	2020	2020	NUM
cana-1857	285	9	,	,	PUNCT
cana-1857	285	10	pp	pp	ADJ
cana-1857	285	11	.	.	PUNCT
cana-1857	285	12	2549–2560	2549–2560	NUM
cana-1857	285	13	.	.	PUNCT
cana-1857	286	1	[	[	X
cana-1857	286	2	2	2	NUM
cana-1857	286	3	]	]	PUNCT
cana-1857	286	4	r.	r.	PROPN
cana-1857	286	5	faizi	faizi	PROPN
cana-1857	286	6	,	,	PUNCT
cana-1857	286	7	using	use	VERB
cana-1857	286	8	sentiment	sentiment	NOUN
cana-1857	286	9	analysis	analysis	NOUN
cana-1857	286	10	to	to	PART
cana-1857	286	11	explore	explore	VERB
cana-1857	286	12	student	student	NOUN
cana-1857	286	13	feedback	feedback	NOUN
cana-1857	286	14	:	:	PUNCT
cana-1857	286	15	a	a	DET
cana-1857	286	16	lexical	lexical	ADJ
cana-1857	286	17	approach	approach	NOUN
cana-1857	286	18	.	.	PUNCT
cana-1857	287	1	international	international	ADJ
cana-1857	287	2	journal	journal	NOUN
cana-1857	287	3	of	of	ADP
cana-1857	287	4	emerging	emerge	VERB
cana-1857	287	5	technologies	technology	NOUN
cana-1857	287	6	in	in	ADP
cana-1857	287	7	learning	learn	VERB
cana-1857	287	8	(	(	PUNCT
cana-1857	287	9	online	online	ADJ
cana-1857	287	10	)	)	PUNCT
cana-1857	287	11	,	,	PUNCT
cana-1857	287	12	18	18	NUM
cana-1857	287	13	,	,	PUNCT
cana-1857	287	14	no	no	INTJ
cana-1857	287	15	.	.	NOUN
cana-1857	287	16	9	9	NUM
cana-1857	287	17	,	,	PUNCT
cana-1857	287	18	2023	2023	NUM
cana-1857	287	19	,	,	PUNCT
cana-1857	287	20	pp	pp	ADJ
cana-1857	287	21	.	.	PUNCT
cana-1857	288	1	259	259	NUM
cana-1857	288	2	.	.	PUNCT
cana-1857	289	1	[	[	X
cana-1857	289	2	3	3	X
cana-1857	289	3	]	]	PUNCT
cana-1857	289	4	z.	z.	PROPN
cana-1857	289	5	kastrati	kastrati	PROPN
cana-1857	289	6	,	,	PUNCT
cana-1857	289	7	f.	f.	PROPN
cana-1857	289	8	dalipi	dalipi	PROPN
cana-1857	289	9	,	,	PUNCT
cana-1857	289	10	a.	a.	PROPN
cana-1857	289	11	s.	s.	PROPN
cana-1857	289	12	imran	imran	PROPN
cana-1857	289	13	,	,	PUNCT
cana-1857	289	14	k.	k.	PROPN
cana-1857	290	1	p.	p.	PROPN
cana-1857	290	2	nuci	nuci	PROPN
cana-1857	290	3	,	,	PUNCT
cana-1857	290	4	and	and	CCONJ
cana-1857	290	5	m.	m.	PROPN
cana-1857	290	6	a.	a.	PROPN
cana-1857	290	7	wani	wani	PROPN
cana-1857	290	8	,	,	PUNCT
cana-1857	290	9	sentiment	sentiment	NOUN
cana-1857	290	10	analysis	analysis	NOUN
cana-1857	290	11	of	of	ADP
cana-1857	290	12	students	student	NOUN
cana-1857	290	13	’	'	PUNCT
cana-1857	290	14	feedback	feedback	NOUN
cana-1857	290	15	with	with	ADP
cana-1857	290	16	nlp	nlp	NOUN
cana-1857	290	17	and	and	CCONJ
cana-1857	290	18	deep	deep	ADJ
cana-1857	290	19	learning	learning	NOUN
cana-1857	290	20	:	:	PUNCT
cana-1857	290	21	a	a	DET
cana-1857	290	22	systematic	systematic	ADJ
cana-1857	290	23	mapping	mapping	NOUN
cana-1857	290	24	study	study	NOUN
cana-1857	290	25	.	.	PUNCT
cana-1857	291	1	applied	apply	VERB
cana-1857	291	2	sciences	science	NOUN
cana-1857	291	3	,	,	PUNCT
cana-1857	291	4	11	11	NUM
cana-1857	291	5	,	,	PUNCT
cana-1857	291	6	no	no	INTJ
cana-1857	291	7	.	.	NOUN
cana-1857	291	8	9	9	NUM
cana-1857	291	9	,	,	PUNCT
cana-1857	291	10	2021	2021	NUM
cana-1857	291	11	,	,	PUNCT
cana-1857	291	12	pp	pp	ADV
cana-1857	291	13	.	.	PUNCT
cana-1857	292	1	3986	3986	NUM
cana-1857	292	2	.	.	PUNCT
cana-1857	293	1	[	[	X
cana-1857	293	2	4	4	NUM
cana-1857	293	3	]	]	X
cana-1857	293	4	n.	n.	PROPN
cana-1857	293	5	sharma	sharma	PROPN
cana-1857	293	6	and	and	CCONJ
cana-1857	293	7	v.	v.	ADP
cana-1857	293	8	jain	jain	PROPN
cana-1857	293	9	,	,	PUNCT
cana-1857	293	10	evaluation	evaluation	NOUN
cana-1857	293	11	and	and	CCONJ
cana-1857	293	12	summarization	summarization	NOUN
cana-1857	293	13	of	of	ADP
cana-1857	293	14	student	student	NOUN
cana-1857	293	15	feedback	feedback	NOUN
cana-1857	293	16	using	use	VERB
cana-1857	293	17	sentiment	sentiment	NOUN
cana-1857	293	18	analysis	analysis	NOUN
cana-1857	293	19	.	.	PUNCT
cana-1857	294	1	in	in	ADP
cana-1857	294	2	advanced	advanced	ADJ
cana-1857	294	3	communications	communication	NOUN
cana-1857	294	4	on	on	ADP
cana-1857	294	5	applied	apply	VERB
cana-1857	294	6	nonlinear	nonlinear	ADJ
cana-1857	294	7	analysis	analysis	NOUN
cana-1857	294	8	issn	issn	NOUN
cana-1857	294	9	:	:	PUNCT
cana-1857	294	10	1074	1074	NUM
cana-1857	294	11	-	-	PUNCT
cana-1857	294	12	133x	133x	NUM
cana-1857	294	13	vol	vol	NOUN
cana-1857	294	14	32	32	NUM
cana-1857	294	15	no	no	NOUN
cana-1857	294	16	.	.	NOUN
cana-1857	294	17	2	2	NUM
cana-1857	294	18	(	(	PUNCT
cana-1857	294	19	2025	2025	NUM
cana-1857	294	20	)	)	PUNCT
cana-1857	294	21	624	624	NUM
cana-1857	294	22	https://internationalpubls.com	https://internationalpubls.com	X
cana-1857	294	23	machine	machine	NOUN
cana-1857	294	24	learning	learning	NOUN
cana-1857	294	25	technologies	technology	NOUN
cana-1857	294	26	and	and	CCONJ
cana-1857	294	27	applications	application	NOUN
cana-1857	294	28	:	:	PUNCT
cana-1857	294	29	proceedings	proceeding	NOUN
cana-1857	294	30	of	of	ADP
cana-1857	294	31	amlta	amlta	NOUN
cana-1857	294	32	2020	2020	NUM
cana-1857	294	33	,	,	PUNCT
cana-1857	294	34	2021	2021	NUM
cana-1857	294	35	,	,	PUNCT
cana-1857	294	36	pp	pp	ADJ
cana-1857	294	37	.	.	PUNCT
cana-1857	295	1	385–396	385–396	NUM
cana-1857	295	2	.	.	PUNCT
cana-1857	296	1	[	[	X
cana-1857	296	2	5	5	NUM
cana-1857	296	3	]	]	X
cana-1857	296	4	h.-f	h.-f	NOUN
cana-1857	296	5	.	.	PUNCT
cana-1857	297	1	shang	shang	PROPN
cana-1857	297	2	,	,	PUNCT
cana-1857	297	3	exploring	explore	VERB
cana-1857	297	4	online	online	ADJ
cana-1857	297	5	peer	peer	NOUN
cana-1857	297	6	feedback	feedback	NOUN
cana-1857	297	7	and	and	CCONJ
cana-1857	297	8	automated	automate	VERB
cana-1857	297	9	corrective	corrective	ADJ
cana-1857	297	10	feedback	feedback	NOUN
cana-1857	297	11	on	on	ADP
cana-1857	297	12	efl	efl	PROPN
cana-1857	297	13	writing	writing	NOUN
cana-1857	297	14	performance	performance	NOUN
cana-1857	297	15	.	.	PUNCT
cana-1857	298	1	interactive	interactive	ADJ
cana-1857	298	2	learning	learning	NOUN
cana-1857	298	3	environments	environment	NOUN
cana-1857	298	4	,	,	PUNCT
cana-1857	298	5	30	30	NUM
cana-1857	298	6	,	,	PUNCT
cana-1857	298	7	no	no	INTJ
cana-1857	298	8	.	.	NOUN
cana-1857	298	9	1	1	NUM
cana-1857	298	10	,	,	PUNCT
cana-1857	298	11	2022	2022	NUM
cana-1857	298	12	,	,	PUNCT
cana-1857	298	13	pp	pp	ADJ
cana-1857	298	14	.	.	PUNCT
cana-1857	299	1	4–16	4–16	PROPN
cana-1857	299	2	.	.	PUNCT
cana-1857	300	1	[	[	X
cana-1857	300	2	6	6	NUM
cana-1857	300	3	]	]	PUNCT
cana-1857	300	4	m.	m.	NOUN
cana-1857	300	5	fargues	fargue	NOUN
cana-1857	300	6	,	,	PUNCT
cana-1857	300	7	s.	s.	PROPN
cana-1857	300	8	kadry	kadry	PROPN
cana-1857	300	9	,	,	PUNCT
cana-1857	300	10	i.	i.	PROPN
cana-1857	300	11	a.	a.	PROPN
cana-1857	300	12	lawal	lawal	PROPN
cana-1857	300	13	,	,	PUNCT
cana-1857	300	14	s.	s.	PROPN
cana-1857	300	15	yassine	yassine	PROPN
cana-1857	300	16	,	,	PUNCT
cana-1857	300	17	and	and	CCONJ
cana-1857	300	18	h.	h.	PROPN
cana-1857	300	19	t.	t.	PROPN
cana-1857	300	20	rauf	rauf	PROPN
cana-1857	300	21	,	,	PUNCT
cana-1857	300	22	automated	automate	VERB
cana-1857	300	23	analysis	analysis	NOUN
cana-1857	300	24	of	of	ADP
cana-1857	300	25	open	open	ADV
cana-1857	300	26	-	-	PUNCT
cana-1857	300	27	ended	end	VERB
cana-1857	300	28	students	student	NOUN
cana-1857	300	29	’	'	PUNCT
cana-1857	300	30	feedback	feedback	NOUN
cana-1857	300	31	using	use	VERB
cana-1857	300	32	sentiment	sentiment	NOUN
cana-1857	300	33	,	,	PUNCT
cana-1857	300	34	emotion	emotion	NOUN
cana-1857	300	35	,	,	PUNCT
cana-1857	300	36	and	and	CCONJ
cana-1857	300	37	cognition	cognition	NOUN
cana-1857	300	38	classifications	classification	NOUN
cana-1857	300	39	.	.	PUNCT
cana-1857	301	1	applied	apply	VERB
cana-1857	301	2	sciences	science	NOUN
cana-1857	301	3	,	,	PUNCT
cana-1857	301	4	13	13	NUM
cana-1857	301	5	,	,	PUNCT
cana-1857	301	6	no	no	INTJ
cana-1857	301	7	.	.	NOUN
cana-1857	301	8	4	4	NUM
cana-1857	301	9	,	,	PUNCT
cana-1857	301	10	2023	2023	NUM
cana-1857	301	11	,	,	PUNCT
cana-1857	301	12	pp	pp	ADJ
cana-1857	301	13	.	.	PUNCT
cana-1857	301	14	2061	2061	NUM
cana-1857	301	15	.	.	PUNCT
cana-1857	302	1	[	[	X
cana-1857	302	2	7	7	X
cana-1857	302	3	]	]	X
cana-1857	302	4	o.	o.	NOUN
cana-1857	302	5	rakhmanov	rakhmanov	PROPN
cana-1857	302	6	and	and	CCONJ
cana-1857	302	7	t.	t.	PROPN
cana-1857	302	8	schlippe	schlippe	PROPN
cana-1857	302	9	,	,	PUNCT
cana-1857	302	10	sentiment	sentiment	NOUN
cana-1857	302	11	analysis	analysis	NOUN
cana-1857	302	12	for	for	ADP
cana-1857	302	13	hausa	hausa	NOUN
cana-1857	302	14	:	:	PUNCT
cana-1857	302	15	classifying	classify	VERB
cana-1857	302	16	students	student	NOUN
cana-1857	302	17	’	'	PUNCT
cana-1857	302	18	comments	comment	NOUN
cana-1857	302	19	.	.	PUNCT
cana-1857	303	1	in	in	ADP
cana-1857	303	2	proceedings	proceeding	NOUN
cana-1857	303	3	of	of	ADP
cana-1857	303	4	the	the	DET
cana-1857	303	5	1st	1st	ADJ
cana-1857	303	6	annual	annual	ADJ
cana-1857	303	7	meeting	meeting	NOUN
cana-1857	303	8	of	of	ADP
cana-1857	303	9	the	the	DET
cana-1857	303	10	elra	elra	ADV
cana-1857	303	11	/	/	SYM
cana-1857	303	12	isca	isca	PROPN
cana-1857	303	13	special	special	ADJ
cana-1857	303	14	interest	interest	NOUN
cana-1857	303	15	group	group	NOUN
cana-1857	303	16	on	on	ADP
cana-1857	303	17	under	under	ADV
cana-1857	303	18	-	-	PUNCT
cana-1857	303	19	resourced	resource	VERB
cana-1857	303	20	languages	language	NOUN
cana-1857	303	21	,	,	PUNCT
cana-1857	303	22	2022	2022	NUM
cana-1857	303	23	,	,	PUNCT
cana-1857	303	24	pp	pp	ADJ
cana-1857	303	25	.	.	PUNCT
cana-1857	303	26	98	98	NUM
cana-1857	303	27	–	–	PUNCT
cana-1857	303	28	105	105	NUM
cana-1857	303	29	.	.	PUNCT
cana-1857	304	1	[	[	X
cana-1857	304	2	8	8	NUM
cana-1857	304	3	]	]	PUNCT
cana-1857	304	4	v.	v.	ADP
cana-1857	304	5	bonta	bonta	PROPN
cana-1857	304	6	,	,	PUNCT
cana-1857	304	7	n.	n.	PROPN
cana-1857	304	8	kumaresh	kumaresh	PROPN
cana-1857	304	9	,	,	PUNCT
cana-1857	304	10	and	and	CCONJ
cana-1857	304	11	n.	n.	PROPN
cana-1857	304	12	janardhan	janardhan	PROPN
cana-1857	304	13	,	,	PUNCT
cana-1857	304	14	a	a	DET
cana-1857	304	15	comprehensive	comprehensive	ADJ
cana-1857	304	16	study	study	NOUN
cana-1857	304	17	on	on	ADP
cana-1857	304	18	lexicon	lexicon	NOUN
cana-1857	304	19	based	base	VERB
cana-1857	304	20	approaches	approach	NOUN
cana-1857	304	21	for	for	ADP
cana-1857	304	22	sentiment	sentiment	NOUN
cana-1857	304	23	analysis.asian	analysis.asian	ADJ
cana-1857	304	24	journal	journal	NOUN
cana-1857	304	25	of	of	ADP
cana-1857	304	26	computer	computer	NOUN
cana-1857	304	27	science	science	NOUN
cana-1857	304	28	and	and	CCONJ
cana-1857	304	29	technology	technology	NOUN
cana-1857	304	30	,	,	PUNCT
cana-1857	304	31	8	8	NUM
cana-1857	304	32	,	,	PUNCT
cana-1857	304	33	no	no	INTJ
cana-1857	304	34	.	.	PUNCT
cana-1857	304	35	s2	s2	PROPN
cana-1857	304	36	,	,	PUNCT
cana-1857	304	37	2019	2019	NUM
cana-1857	304	38	,	,	PUNCT
cana-1857	304	39	pp	pp	ADJ
cana-1857	304	40	.	.	PUNCT
cana-1857	305	1	1–6	1–6	X
cana-1857	305	2	.	.	PUNCT
cana-1857	306	1	[	[	X
cana-1857	306	2	9	9	NUM
cana-1857	306	3	]	]	SYM
cana-1857	306	4	i.	i.	PROPN
cana-1857	306	5	sindhu	sindhu	PROPN
cana-1857	306	6	,	,	PUNCT
cana-1857	306	7	s.	s.	PROPN
cana-1857	306	8	m.	m.	PROPN
cana-1857	306	9	daudpota	daudpota	PROPN
cana-1857	306	10	,	,	PUNCT
cana-1857	306	11	k.	k.	PROPN
cana-1857	306	12	badar	badar	PROPN
cana-1857	306	13	,	,	PUNCT
cana-1857	306	14	m.	m.	NOUN
cana-1857	306	15	bakhtyar	bakhtyar	PROPN
cana-1857	306	16	,	,	PUNCT
cana-1857	306	17	j.	j.	PROPN
cana-1857	306	18	baber	baber	PROPN
cana-1857	306	19	,	,	PUNCT
cana-1857	306	20	and	and	CCONJ
cana-1857	306	21	m.	m.	NOUN
cana-1857	306	22	nurunnabi	nurunnabi	NOUN
cana-1857	306	23	,	,	PUNCT
cana-1857	306	24	aspect	aspect	NOUN
cana-1857	306	25	-	-	PUNCT
cana-1857	306	26	based	base	VERB
cana-1857	306	27	opinion	opinion	NOUN
cana-1857	306	28	mining	mining	NOUN
cana-1857	306	29	on	on	ADP
cana-1857	306	30	student	student	NOUN
cana-1857	306	31	’s	’s	PART
cana-1857	306	32	feedback	feedback	NOUN
cana-1857	306	33	for	for	ADP
cana-1857	306	34	faculty	faculty	NOUN
cana-1857	306	35	teaching	teaching	NOUN
cana-1857	306	36	performance	performance	NOUN
cana-1857	306	37	evaluation	evaluation	NOUN
cana-1857	306	38	.	.	PUNCT
cana-1857	307	1	ieee	ieee	NOUN
cana-1857	307	2	access	access	NOUN
cana-1857	307	3	,	,	PUNCT
cana-1857	307	4	7	7	NUM
cana-1857	307	5	,	,	PUNCT
cana-1857	307	6	2019	2019	NUM
cana-1857	307	7	,	,	PUNCT
cana-1857	307	8	pp	pp	ADJ
cana-1857	307	9	.	.	PUNCT
cana-1857	308	1	108729–108741	108729–108741	NUM
cana-1857	308	2	.	.	PUNCT
cana-1857	309	1	[	[	X
cana-1857	309	2	10	10	NUM
cana-1857	309	3	]	]	X
cana-1857	309	4	g.	g.	PROPN
cana-1857	309	5	s.	s.	PROPN
cana-1857	309	6	chauhan	chauhan	PROPN
cana-1857	309	7	,	,	PUNCT
cana-1857	309	8	p.	p.	PROPN
cana-1857	309	9	agrawal	agrawal	PROPN
cana-1857	309	10	,	,	PUNCT
cana-1857	309	11	and	and	CCONJ
cana-1857	309	12	y.	y.	PROPN
cana-1857	309	13	k.	k.	PROPN
cana-1857	309	14	meena	meena	PROPN
cana-1857	309	15	,	,	PUNCT
cana-1857	309	16	aspect	aspect	NOUN
cana-1857	309	17	-	-	PUNCT
cana-1857	309	18	based	base	VERB
cana-1857	309	19	sentiment	sentiment	NOUN
cana-1857	309	20	analysis	analysis	NOUN
cana-1857	309	21	of	of	ADP
cana-1857	309	22	students	student	NOUN
cana-1857	309	23	’	'	PUNCT
cana-1857	309	24	feedback	feedback	NOUN
cana-1857	309	25	to	to	PART
cana-1857	309	26	improve	improve	VERB
cana-1857	309	27	teaching	teaching	NOUN
cana-1857	309	28	–	–	PUNCT
cana-1857	309	29	learning	learn	VERB
cana-1857	309	30	process	process	NOUN
cana-1857	309	31	.	.	PUNCT
cana-1857	310	1	in	in	ADP
cana-1857	310	2	information	information	NOUN
cana-1857	310	3	and	and	CCONJ
cana-1857	310	4	communication	communication	NOUN
cana-1857	310	5	technology	technology	NOUN
cana-1857	310	6	for	for	ADP
cana-1857	310	7	intelligent	intelligent	ADJ
cana-1857	310	8	systems	system	NOUN
cana-1857	310	9	:	:	PUNCT
cana-1857	310	10	proceedings	proceeding	NOUN
cana-1857	310	11	of	of	ADP
cana-1857	310	12	ictis	ictis	PROPN
cana-1857	310	13	2018	2018	NUM
cana-1857	310	14	,	,	PUNCT
cana-1857	310	15	volume	volume	NOUN
cana-1857	310	16	2	2	NUM
cana-1857	310	17	,	,	PUNCT
cana-1857	310	18	2019	2019	NUM
cana-1857	310	19	,	,	PUNCT
cana-1857	310	20	pp	pp	ADJ
cana-1857	310	21	.	.	PUNCT
cana-1857	311	1	259–266	259–266	NUM
cana-1857	311	2	.	.	PUNCT
cana-1857	312	1	[	[	X
cana-1857	312	2	11	11	NUM
cana-1857	312	3	]	]	PUNCT
cana-1857	312	4	a.	a.	NOUN
cana-1857	312	5	onan	onan	PROPN
cana-1857	312	6	,	,	PUNCT
cana-1857	312	7	sentiment	sentiment	VERB
cana-1857	312	8	analysis	analysis	NOUN
cana-1857	312	9	on	on	ADP
cana-1857	312	10	massive	massive	ADJ
cana-1857	312	11	open	open	ADJ
cana-1857	312	12	online	online	ADJ
cana-1857	312	13	course	course	NOUN
cana-1857	312	14	evaluations	evaluation	NOUN
cana-1857	312	15	:	:	PUNCT
cana-1857	312	16	a	a	DET
cana-1857	312	17	text	text	NOUN
cana-1857	312	18	mining	mining	NOUN
cana-1857	312	19	and	and	CCONJ
cana-1857	312	20	deep	deep	ADJ
cana-1857	312	21	learning	learn	VERB
cana-1857	312	22	approach.computer	approach.computer	NOUN
cana-1857	312	23	applications	application	NOUN
cana-1857	312	24	in	in	ADP
cana-1857	312	25	engineering	engineering	NOUN
cana-1857	312	26	education	education	NOUN
cana-1857	312	27	,	,	PUNCT
cana-1857	312	28	29	29	NUM
cana-1857	312	29	,	,	PUNCT
cana-1857	312	30	no	no	INTJ
cana-1857	312	31	.	.	NOUN
cana-1857	312	32	3	3	NUM
cana-1857	312	33	,	,	PUNCT
cana-1857	312	34	2021	2021	NUM
cana-1857	312	35	,	,	PUNCT
cana-1857	312	36	pp	pp	ADJ
cana-1857	312	37	.	.	PUNCT
cana-1857	313	1	572–589	572–589	NUM
cana-1857	313	2	.	.	PUNCT
cana-1857	314	1	[	[	X
cana-1857	314	2	12	12	NUM
cana-1857	314	3	]	]	X
cana-1857	314	4	r.	r.	PROPN
cana-1857	314	5	faizi	faizi	PROPN
cana-1857	314	6	,	,	PUNCT
cana-1857	314	7	using	use	VERB
cana-1857	314	8	sentiment	sentiment	NOUN
cana-1857	314	9	analysis	analysis	NOUN
cana-1857	314	10	to	to	PART
cana-1857	314	11	explore	explore	VERB
cana-1857	314	12	student	student	NOUN
cana-1857	314	13	feedback	feedback	NOUN
cana-1857	314	14	:	:	PUNCT
cana-1857	314	15	a	a	DET
cana-1857	314	16	lexical	lexical	ADJ
cana-1857	314	17	approach	approach	NOUN
cana-1857	314	18	.	.	PUNCT
cana-1857	315	1	international	international	ADJ
cana-1857	315	2	journal	journal	NOUN
cana-1857	315	3	of	of	ADP
cana-1857	315	4	emerging	emerge	VERB
cana-1857	315	5	technologies	technology	NOUN
cana-1857	315	6	in	in	ADP
cana-1857	315	7	learning	learn	VERB
cana-1857	315	8	(	(	PUNCT
cana-1857	315	9	online	online	ADJ
cana-1857	315	10	)	)	PUNCT
cana-1857	315	11	,	,	PUNCT
cana-1857	315	12	18	18	NUM
cana-1857	315	13	,	,	PUNCT
cana-1857	315	14	no	no	INTJ
cana-1857	315	15	.	.	NOUN
cana-1857	315	16	9	9	NUM
cana-1857	315	17	,	,	PUNCT
cana-1857	315	18	2023	2023	NUM
cana-1857	315	19	,	,	PUNCT
cana-1857	315	20	pp	pp	ADJ
cana-1857	315	21	.	.	PUNCT
cana-1857	316	1	259	259	NUM
cana-1857	316	2	.	.	PUNCT
cana-1857	317	1	[	[	X
cana-1857	317	2	13	13	NUM
cana-1857	317	3	]	]	PUNCT
cana-1857	317	4	m.	m.	NOUN
cana-1857	317	5	umair	umair	NOUN
cana-1857	317	6	,	,	PUNCT
cana-1857	317	7	a.	a.	PROPN
cana-1857	317	8	hakim	hakim	PROPN
cana-1857	317	9	,	,	PUNCT
cana-1857	317	10	a.	a.	NOUN
cana-1857	317	11	hussain	hussain	PROPN
cana-1857	317	12	,	,	PUNCT
cana-1857	317	13	and	and	CCONJ
cana-1857	317	14	s.	s.	PROPN
cana-1857	317	15	naseem	naseem	PROPN
cana-1857	317	16	,	,	PUNCT
cana-1857	317	17	sentiment	sentiment	NOUN
cana-1857	317	18	analysis	analysis	NOUN
cana-1857	317	19	of	of	ADP
cana-1857	317	20	students	student	NOUN
cana-1857	317	21	’	'	PUNCT
cana-1857	317	22	feedback	feedback	NOUN
cana-1857	317	23	before	before	ADV
cana-1857	317	24	and	and	CCONJ
cana-1857	317	25	after	after	ADP
cana-1857	317	26	covid-19	covid-19	PROPN
cana-1857	317	27	pandemic	pandemic	NOUN
cana-1857	317	28	.	.	PUNCT
cana-1857	318	1	int	int	NOUN
cana-1857	318	2	.	.	PUNCT
cana-1857	319	1	j.	j.	PROPN
cana-1857	319	2	emerg	emerg	PROPN
cana-1857	319	3	.	.	PUNCT
cana-1857	320	1	technol	technol	PROPN
cana-1857	320	2	,	,	PUNCT
cana-1857	320	3	12	12	NUM
cana-1857	320	4	,	,	PUNCT
cana-1857	320	5	no	no	INTJ
cana-1857	320	6	.	.	NOUN
cana-1857	320	7	2	2	NUM
cana-1857	320	8	,	,	PUNCT
cana-1857	320	9	2021	2021	NUM
cana-1857	320	10	,	,	PUNCT
cana-1857	320	11	pp	pp	ADJ
cana-1857	320	12	.	.	PUNCT
cana-1857	321	1	177–182	177–182	NUM
cana-1857	321	2	.	.	PUNCT
cana-1857	322	1	[	[	X
cana-1857	322	2	14	14	NUM
cana-1857	322	3	]	]	X
cana-1857	322	4	z.	z.	PROPN
cana-1857	322	5	kastrati	kastrati	PROPN
cana-1857	322	6	,	,	PUNCT
cana-1857	322	7	a.	a.	PROPN
cana-1857	322	8	s.	s.	PROPN
cana-1857	322	9	imran	imran	PROPN
cana-1857	322	10	,	,	PUNCT
cana-1857	322	11	and	and	CCONJ
cana-1857	322	12	a.	a.	NOUN
cana-1857	322	13	kurti	kurti	PROPN
cana-1857	322	14	,	,	PUNCT
cana-1857	322	15	weakly	weakly	ADV
cana-1857	322	16	supervised	supervise	VERB
cana-1857	322	17	framework	framework	NOUN
cana-1857	322	18	for	for	ADP
cana-1857	322	19	aspect	aspect	NOUN
cana-1857	322	20	-	-	PUNCT
cana-1857	322	21	based	base	VERB
cana-1857	322	22	sentiment	sentiment	NOUN
cana-1857	322	23	analysis	analysis	NOUN
cana-1857	322	24	on	on	ADP
cana-1857	322	25	students	student	NOUN
cana-1857	322	26	’	'	PUNCT
cana-1857	322	27	reviews	review	NOUN
cana-1857	322	28	of	of	ADP
cana-1857	322	29	moocs	mooc	NOUN
cana-1857	322	30	.	.	PUNCT
cana-1857	323	1	ieee	ieee	NOUN
cana-1857	323	2	access	access	NOUN
cana-1857	323	3	,	,	PUNCT
cana-1857	323	4	8	8	NUM
cana-1857	323	5	,	,	PUNCT
cana-1857	323	6	2020	2020	NUM
cana-1857	323	7	,	,	PUNCT
cana-1857	323	8	pp	pp	ADV
cana-1857	323	9	.	.	PUNCT
cana-1857	324	1	106799–106810	106799–106810	NUM
cana-1857	324	2	.	.	PUNCT
cana-1857	325	1	[	[	X
cana-1857	325	2	15	15	NUM
cana-1857	325	3	]	]	X
cana-1857	325	4	p.	p.	NOUN
cana-1857	325	5	nandwani	nandwani	PROPN
cana-1857	325	6	and	and	CCONJ
cana-1857	325	7	r.	r.	PROPN
cana-1857	325	8	verma	verma	PROPN
cana-1857	325	9	,	,	PUNCT
cana-1857	325	10	a	a	DET
cana-1857	325	11	review	review	NOUN
cana-1857	325	12	on	on	ADP
cana-1857	325	13	sentiment	sentiment	NOUN
cana-1857	325	14	analysis	analysis	NOUN
cana-1857	325	15	and	and	CCONJ
cana-1857	325	16	emotion	emotion	NOUN
cana-1857	325	17	detection	detection	NOUN
cana-1857	325	18	from	from	ADP
cana-1857	325	19	text	text	NOUN
cana-1857	325	20	.	.	PUNCT
cana-1857	326	1	social	social	ADJ
cana-1857	326	2	network	network	NOUN
cana-1857	326	3	analysis	analysis	NOUN
cana-1857	326	4	and	and	CCONJ
cana-1857	326	5	mining	mining	NOUN
cana-1857	326	6	,	,	PUNCT
cana-1857	326	7	11	11	NUM
cana-1857	326	8	,	,	PUNCT
cana-1857	326	9	no	no	INTJ
cana-1857	326	10	.	.	NOUN
cana-1857	326	11	1	1	NUM
cana-1857	326	12	,	,	PUNCT
cana-1857	326	13	2021	2021	NUM
cana-1857	326	14	,	,	PUNCT
cana-1857	326	15	pp	pp	ADV
cana-1857	326	16	.	.	PUNCT
cana-1857	326	17	81	81	NUM
cana-1857	326	18	.	.	PUNCT
cana-1857	327	1	[	[	X
cana-1857	327	2	16	16	NUM
cana-1857	327	3	]	]	PUNCT
cana-1857	327	4	z.	z.	PROPN
cana-1857	327	5	kastrati	kastrati	PROPN
cana-1857	327	6	,	,	PUNCT
cana-1857	327	7	f.	f.	PROPN
cana-1857	327	8	dalipi	dalipi	PROPN
cana-1857	327	9	,	,	PUNCT
cana-1857	327	10	a.	a.	PROPN
cana-1857	327	11	s.	s.	PROPN
cana-1857	327	12	imran	imran	PROPN
cana-1857	327	13	,	,	PUNCT
cana-1857	327	14	k.	k.	PROPN
cana-1857	327	15	p.	p.	PROPN
cana-1857	327	16	nuci	nuci	PROPN
cana-1857	327	17	,	,	PUNCT
cana-1857	327	18	and	and	CCONJ
cana-1857	327	19	m.	m.	PROPN
cana-1857	327	20	a.	a.	PROPN
cana-1857	327	21	wani	wani	PROPN
cana-1857	327	22	,	,	PUNCT
cana-1857	327	23	sentiment	sentiment	NOUN
cana-1857	327	24	analysis	analysis	NOUN
cana-1857	327	25	of	of	ADP
cana-1857	327	26	students	student	NOUN
cana-1857	327	27	’	'	PUNCT
cana-1857	327	28	feedback	feedback	NOUN
cana-1857	327	29	with	with	ADP
cana-1857	327	30	nlp	nlp	NOUN
cana-1857	327	31	and	and	CCONJ
cana-1857	327	32	deep	deep	ADJ
cana-1857	327	33	learning	learning	NOUN
cana-1857	327	34	:	:	PUNCT
cana-1857	327	35	a	a	DET
cana-1857	327	36	systematic	systematic	ADJ
cana-1857	327	37	mapping	mapping	NOUN
cana-1857	327	38	study	study	NOUN
cana-1857	327	39	.	.	PUNCT
cana-1857	328	1	applied	apply	VERB
cana-1857	328	2	sciences	science	NOUN
cana-1857	328	3	,	,	PUNCT
cana-1857	328	4	11	11	NUM
cana-1857	328	5	,	,	PUNCT
cana-1857	328	6	no	no	INTJ
cana-1857	328	7	.	.	NOUN
cana-1857	328	8	9	9	NUM
cana-1857	328	9	,	,	PUNCT
cana-1857	328	10	2021	2021	NUM
cana-1857	328	11	,	,	PUNCT
cana-1857	328	12	pp	pp	ADV
cana-1857	328	13	.	.	PUNCT
cana-1857	329	1	3986	3986	NUM
cana-1857	329	2	.	.	PUNCT
cana-1857	330	1	[	[	X
cana-1857	330	2	17	17	NUM
cana-1857	330	3	]	]	X
cana-1857	330	4	c.	c.	PROPN
cana-1857	330	5	f.	f.	PROPN
cana-1857	330	6	meyer	meyer	PROPN
cana-1857	330	7	and	and	CCONJ
cana-1857	330	8	g.	g.	PROPN
cana-1857	330	9	nelson	nelson	PROPN
cana-1857	330	10	,	,	PUNCT
cana-1857	330	11	data	data	NOUN
cana-1857	330	12	collection	collection	NOUN
cana-1857	330	13	.	.	PUNCT
cana-1857	331	1	the	the	DET
cana-1857	331	2	handbook	handbook	NOUN
cana-1857	331	3	of	of	ADP
cana-1857	331	4	english	english	PROPN
cana-1857	331	5	linguistics	linguistic	NOUN
cana-1857	331	6	,	,	PUNCT
cana-1857	331	7	2020	2020	NUM
cana-1857	331	8	,	,	PUNCT
cana-1857	331	9	pp	pp	ADV
cana-1857	331	10	.	.	PUNCT
cana-1857	332	1	81–101	81–101	NUM
cana-1857	332	2	.	.	PUNCT
cana-1857	333	1	[	[	X
cana-1857	333	2	18	18	NUM
cana-1857	333	3	]	]	PUNCT
cana-1857	333	4	x.	x.	PROPN
cana-1857	333	5	tan	tan	PROPN
cana-1857	333	6	,	,	PUNCT
cana-1857	333	7	b.	b.	PROPN
cana-1857	333	8	l.	l.	PROPN
cana-1857	333	9	reynolds	reynolds	PROPN
cana-1857	333	10	,	,	PUNCT
cana-1857	333	11	and	and	CCONJ
cana-1857	333	12	x.	x.	PROPN
cana-1857	333	13	v.	v.	PROPN
cana-1857	333	14	ha	ha	INTJ
cana-1857	333	15	,	,	PUNCT
cana-1857	333	16	oral	oral	ADJ
cana-1857	333	17	corrective	corrective	ADJ
cana-1857	333	18	feedback	feedback	NOUN
cana-1857	333	19	on	on	ADP
cana-1857	333	20	lexical	lexical	ADJ
cana-1857	333	21	errors	error	NOUN
cana-1857	333	22	:	:	PUNCT
cana-1857	333	23	a	a	DET
cana-1857	333	24	systematic	systematic	ADJ
cana-1857	333	25	review	review	NOUN
cana-1857	333	26	.	.	PUNCT
cana-1857	334	1	applied	apply	VERB
cana-1857	334	2	linguistics	linguistics	PROPN
cana-1857	334	3	review	review	NOUN
cana-1857	334	4	,	,	PUNCT
cana-1857	334	5	0	0	NUM
cana-1857	334	6	,	,	PUNCT
cana-1857	334	7	2022	2022	NUM
cana-1857	334	8	.	.	PUNCT
cana-1857	335	1	[	[	X
cana-1857	335	2	19	19	NUM
cana-1857	335	3	]	]	X
cana-1857	335	4	d.	d.	PROPN
cana-1857	335	5	kothadiya	kothadiya	PROPN
cana-1857	335	6	,	,	PUNCT
cana-1857	335	7	n.	n.	NOUN
cana-1857	335	8	pise	pise	PROPN
cana-1857	335	9	,	,	PUNCT
cana-1857	335	10	and	and	CCONJ
cana-1857	335	11	m.	m.	NOUN
cana-1857	335	12	bedekar	bedekar	PROPN
cana-1857	335	13	,	,	PUNCT
cana-1857	335	14	different	different	ADJ
cana-1857	335	15	methods	method	NOUN
cana-1857	335	16	review	review	VERB
cana-1857	335	17	for	for	ADP
cana-1857	335	18	speech	speech	NOUN
cana-1857	335	19	to	to	PART
cana-1857	335	20	text	text	VERB
cana-1857	335	21	and	and	CCONJ
cana-1857	335	22	text	text	NOUN
cana-1857	335	23	to	to	ADP
cana-1857	335	24	speech	speech	NOUN
cana-1857	335	25	conversion.international	conversion.international	ADJ
cana-1857	335	26	journal	journal	NOUN
cana-1857	335	27	of	of	ADP
cana-1857	335	28	computer	computer	NOUN
cana-1857	335	29	applications	application	NOUN
cana-1857	335	30	,	,	PUNCT
cana-1857	335	31	975	975	NUM
cana-1857	335	32	,	,	PUNCT
cana-1857	335	33	2020	2020	NUM
cana-1857	335	34	,	,	PUNCT
cana-1857	335	35	pp	pp	ADV
cana-1857	335	36	.	.	PUNCT
cana-1857	335	37	8887	8887	NUM
cana-1857	335	38	.	.	PUNCT
cana-1857	336	1	[	[	X
cana-1857	336	2	20	20	NUM
cana-1857	336	3	]	]	PUNCT
cana-1857	336	4	m.	m.	PROPN
cana-1857	336	5	huang	huang	PROPN
cana-1857	336	6	,	,	PUNCT
cana-1857	336	7	h.	h.	PROPN
cana-1857	336	8	xie	xie	PROPN
cana-1857	336	9	,	,	PUNCT
cana-1857	336	10	y.	y.	PROPN
cana-1857	336	11	rao	rao	PROPN
cana-1857	336	12	,	,	PUNCT
cana-1857	336	13	y.	y.	PROPN
cana-1857	336	14	liu	liu	PROPN
cana-1857	336	15	,	,	PUNCT
cana-1857	336	16	l.	l.	PROPN
cana-1857	336	17	k.	k.	PROPN
cana-1857	336	18	m.	m.	PROPN
cana-1857	336	19	poon	poon	NOUN
cana-1857	336	20	,	,	PUNCT
cana-1857	336	21	and	and	CCONJ
cana-1857	336	22	f.	f.	PROPN
cana-1857	336	23	l.	l.	PROPN
cana-1857	336	24	wang	wang	PROPN
cana-1857	336	25	,	,	PUNCT
cana-1857	336	26	lexicon	lexicon	NOUN
cana-1857	336	27	-	-	PUNCT
cana-1857	336	28	based	base	VERB
cana-1857	336	29	sentiment	sentiment	NOUN
cana-1857	336	30	convolutional	convolutional	ADJ
cana-1857	336	31	neural	neural	ADJ
cana-1857	336	32	networks	network	NOUN
cana-1857	336	33	for	for	ADP
cana-1857	336	34	online	online	ADJ
cana-1857	336	35	review	review	NOUN
cana-1857	336	36	analysis	analysis	NOUN
cana-1857	336	37	.	.	PUNCT
cana-1857	337	1	ieee	ieee	NOUN
cana-1857	337	2	transactions	transaction	NOUN
cana-1857	337	3	on	on	ADP
cana-1857	337	4	affective	affective	ADJ
cana-1857	337	5	computing	computing	NOUN
cana-1857	337	6	,	,	PUNCT
cana-1857	337	7	13	13	NUM
cana-1857	337	8	,	,	PUNCT
cana-1857	337	9	no	no	INTJ
cana-1857	337	10	.	.	NOUN
cana-1857	337	11	3	3	NUM
cana-1857	337	12	,	,	PUNCT
cana-1857	337	13	2020	2020	NUM
cana-1857	337	14	,	,	PUNCT
cana-1857	337	15	pp	pp	ADJ
cana-1857	337	16	.	.	PUNCT
cana-1857	338	1	1337–1348	1337–1348	NUM
cana-1857	338	2	.	.	PUNCT
cana-1857	339	1	[	[	X
cana-1857	339	2	21	21	NUM
cana-1857	339	3	]	]	X
cana-1857	339	4	e.	e.	PROPN
cana-1857	339	5	alzahrani	alzahrani	PROPN
cana-1857	339	6	and	and	CCONJ
cana-1857	339	7	l.	l.	PROPN
cana-1857	339	8	jololian	jololian	PROPN
cana-1857	339	9	,	,	PUNCT
cana-1857	339	10	how	how	SCONJ
cana-1857	339	11	different	different	ADJ
cana-1857	339	12	text	text	NOUN
cana-1857	339	13	-	-	PUNCT
cana-1857	339	14	preprocessing	preprocesse	VERB
cana-1857	339	15	techniques	technique	NOUN
cana-1857	339	16	using	use	VERB
cana-1857	339	17	the	the	DET
cana-1857	339	18	bert	bert	PROPN
cana-1857	339	19	model	model	NOUN
cana-1857	339	20	affect	affect	VERB
cana-1857	339	21	the	the	DET
cana-1857	339	22	gender	gender	NOUN
cana-1857	339	23	profiling	profiling	NOUN
cana-1857	339	24	of	of	ADP
cana-1857	339	25	authors	author	NOUN
cana-1857	339	26	.	.	PUNCT
cana-1857	340	1	arxiv	arxiv	PROPN
cana-1857	340	2	preprint	preprint	NOUN
cana-1857	340	3	arxiv:2109.13890	arxiv:2109.13890	NOUN
cana-1857	340	4	,	,	PUNCT
cana-1857	340	5	2021	2021	NUM
cana-1857	340	6	.	.	PUNCT
cana-1857	341	1	[	[	X
cana-1857	341	2	22	22	NUM
cana-1857	341	3	]	]	X
cana-1857	341	4	i.	i.	PROPN
cana-1857	341	5	vulić	vulić	PROPN
cana-1857	341	6	,	,	PUNCT
cana-1857	341	7	e.	e.	PROPN
cana-1857	341	8	m.	m.	PROPN
cana-1857	341	9	ponti	ponti	PROPN
cana-1857	341	10	,	,	PUNCT
cana-1857	341	11	a.	a.	PROPN
cana-1857	341	12	korhonen	korhonen	PROPN
cana-1857	341	13	,	,	PUNCT
cana-1857	341	14	and	and	CCONJ
cana-1857	341	15	g.	g.	PROPN
cana-1857	341	16	glavaš	glavaš	PROPN
cana-1857	341	17	,	,	PUNCT
cana-1857	341	18	lexfit	lexfit	ADJ
cana-1857	341	19	:	:	PUNCT
cana-1857	341	20	lexical	lexical	ADJ
cana-1857	341	21	fine	fine	ADV
cana-1857	341	22	-	-	PUNCT
cana-1857	341	23	tuning	tuning	NOUN
cana-1857	341	24	of	of	ADP
cana-1857	341	25	pretrained	pretraine	VERB
cana-1857	341	26	language	language	NOUN
cana-1857	341	27	models	model	NOUN
cana-1857	341	28	.	.	PUNCT
cana-1857	342	1	in	in	ADP
cana-1857	342	2	proceedings	proceeding	NOUN
cana-1857	342	3	of	of	ADP
cana-1857	342	4	the	the	DET
cana-1857	342	5	59th	59th	ADJ
cana-1857	342	6	annual	annual	ADJ
cana-1857	342	7	meeting	meeting	NOUN
cana-1857	342	8	of	of	ADP
cana-1857	342	9	the	the	DET
cana-1857	342	10	association	association	NOUN
cana-1857	342	11	for	for	ADP
cana-1857	342	12	computational	computational	ADJ
cana-1857	342	13	linguistics	linguistic	NOUN
cana-1857	342	14	and	and	CCONJ
cana-1857	342	15	the	the	DET
cana-1857	342	16	11th	11th	ADJ
cana-1857	342	17	international	international	ADJ
cana-1857	342	18	joint	joint	ADJ
cana-1857	342	19	conference	conference	NOUN
cana-1857	342	20	on	on	ADP
cana-1857	342	21	natural	natural	ADJ
cana-1857	342	22	language	language	NOUN
cana-1857	342	23	processing	processing	NOUN
cana-1857	342	24	(	(	PUNCT
cana-1857	342	25	volume	volume	NOUN
cana-1857	342	26	1	1	NUM
cana-1857	342	27	:	:	PUNCT
cana-1857	342	28	long	long	ADJ
cana-1857	342	29	papers	paper	NOUN
cana-1857	342	30	)	)	PUNCT
cana-1857	342	31	,	,	PUNCT
cana-1857	342	32	2021	2021	NUM
cana-1857	342	33	,	,	PUNCT
cana-1857	342	34	pp	pp	ADJ
cana-1857	342	35	.	.	PUNCT
cana-1857	343	1	5269–5283	5269–5283	NUM
cana-1857	343	2	.	.	PUNCT
cana-1857	344	1	[	[	X
cana-1857	344	2	23	23	NUM
cana-1857	344	3	]	]	PUNCT
cana-1857	344	4	m.	m.	NOUN
cana-1857	344	5	pota	pota	NOUN
cana-1857	344	6	,	,	PUNCT
cana-1857	344	7	m.	m.	NOUN
cana-1857	344	8	ventura	ventura	PROPN
cana-1857	344	9	,	,	PUNCT
cana-1857	344	10	h.	h.	PROPN
cana-1857	344	11	fujita	fujita	PROPN
cana-1857	344	12	,	,	PUNCT
cana-1857	344	13	and	and	CCONJ
cana-1857	344	14	m.	m.	PROPN
cana-1857	344	15	esposito	esposito	PROPN
cana-1857	344	16	,	,	PUNCT
cana-1857	344	17	multilingual	multilingual	ADJ
cana-1857	344	18	evaluation	evaluation	NOUN
cana-1857	344	19	of	of	ADP
cana-1857	344	20	pre	pre	ADJ
cana-1857	344	21	-	-	ADJ
cana-1857	344	22	processing	processing	NOUN
cana-1857	344	23	for	for	ADP
cana-1857	344	24	bert	bert	NOUN
cana-1857	344	25	-	-	PUNCT
cana-1857	344	26	based	base	VERB
cana-1857	344	27	sentiment	sentiment	NOUN
cana-1857	344	28	analysis	analysis	NOUN
cana-1857	344	29	of	of	ADP
cana-1857	344	30	tweets	tweet	NOUN
cana-1857	344	31	.	.	PUNCT
cana-1857	345	1	expert	expert	NOUN
cana-1857	345	2	systems	system	NOUN
cana-1857	345	3	with	with	ADP
cana-1857	345	4	applications	application	NOUN
cana-1857	345	5	,	,	PUNCT
cana-1857	345	6	181	181	NUM
cana-1857	345	7	,	,	PUNCT
cana-1857	345	8	2021	2021	NUM
cana-1857	345	9	,	,	PUNCT
cana-1857	345	10	pp	pp	ADJ
cana-1857	345	11	.	.	PUNCT
cana-1857	345	12	115119	115119	NUM
cana-1857	345	13	.	.	PUNCT
cana-1857	346	1	[	[	X
cana-1857	346	2	24	24	NUM
cana-1857	346	3	]	]	PUNCT
cana-1857	346	4	j.	j.	PROPN
cana-1857	346	5	lin	lin	PROPN
cana-1857	346	6	,	,	PUNCT
cana-1857	346	7	r.	r.	PROPN
cana-1857	346	8	nogueira	nogueira	PROPN
cana-1857	346	9	,	,	PUNCT
cana-1857	346	10	and	and	CCONJ
cana-1857	346	11	a.	a.	NOUN
cana-1857	346	12	yates	yates	PROPN
cana-1857	346	13	,	,	PUNCT
cana-1857	346	14	pretrained	pretraine	VERB
cana-1857	346	15	transformers	transformer	NOUN
cana-1857	346	16	for	for	ADP
cana-1857	346	17	text	text	NOUN
cana-1857	346	18	ranking	ranking	NOUN
cana-1857	346	19	:	:	PUNCT
cana-1857	346	20	bert	bert	NOUN
cana-1857	346	21	and	and	CCONJ
cana-1857	346	22	beyond	beyond	ADP
cana-1857	346	23	.	.	PUNCT
cana-1857	347	1	springer	springer	NOUN
cana-1857	347	2	nature	nature	NOUN
cana-1857	347	3	,	,	PUNCT
cana-1857	347	4	2022	2022	NUM
cana-1857	347	5	.	.	PUNCT
cana-1857	348	1	[	[	X
cana-1857	348	2	25	25	NUM
cana-1857	348	3	]	]	X
cana-1857	348	4	d.	d.	PROPN
cana-1857	348	5	rothman	rothman	PROPN
cana-1857	348	6	,	,	PUNCT
cana-1857	348	7	transformers	transformer	NOUN
cana-1857	348	8	for	for	ADP
cana-1857	348	9	natural	natural	ADJ
cana-1857	348	10	language	language	NOUN
cana-1857	348	11	processing	processing	NOUN
cana-1857	348	12	:	:	PUNCT
cana-1857	348	13	build	build	VERB
cana-1857	348	14	innovative	innovative	ADJ
cana-1857	348	15	deep	deep	ADJ
cana-1857	348	16	neural	neural	ADJ
cana-1857	348	17	network	network	NOUN
cana-1857	348	18	architectures	architecture	NOUN
cana-1857	348	19	for	for	ADP
cana-1857	348	20	nlp	nlp	NOUN
cana-1857	348	21	with	with	ADP
cana-1857	348	22	python	python	PROPN
cana-1857	348	23	,	,	PUNCT
cana-1857	348	24	pytorch	pytorch	NOUN
cana-1857	348	25	,	,	PUNCT
cana-1857	348	26	tensorflow	tensorflow	NOUN
cana-1857	348	27	,	,	PUNCT
cana-1857	348	28	bert	bert	PROPN
cana-1857	348	29	,	,	PUNCT
cana-1857	348	30	roberta	roberta	PROPN
cana-1857	348	31	,	,	PUNCT
cana-1857	348	32	and	and	CCONJ
cana-1857	348	33	more	more	ADJ
cana-1857	348	34	.	.	PUNCT
cana-1857	349	1	packt	packt	PROPN
cana-1857	349	2	publishing	publishing	PROPN
cana-1857	349	3	ltd	ltd	PROPN
cana-1857	349	4	,	,	PUNCT
cana-1857	349	5	2021	2021	NUM
cana-1857	349	6	.	.	PUNCT
cana-1857	350	1	[	[	X
cana-1857	350	2	26	26	NUM
cana-1857	350	3	]	]	X
cana-1857	350	4	n.	n.	PROPN
cana-1857	350	5	javed	javed	PROPN
cana-1857	350	6	and	and	CCONJ
cana-1857	350	7	b.	b.	PROPN
cana-1857	350	8	l.	l.	PROPN
cana-1857	350	9	muralidhara	muralidhara	PROPN
cana-1857	350	10	,	,	PUNCT
cana-1857	350	11	emotions	emotion	NOUN
cana-1857	350	12	during	during	ADP
cana-1857	350	13	covid-19	covid-19	PROPN
cana-1857	350	14	:	:	PUNCT
cana-1857	350	15	lstm	lstm	NOUN
cana-1857	350	16	models	model	NOUN
cana-1857	350	17	for	for	ADP
cana-1857	350	18	emotion	emotion	NOUN
cana-1857	350	19	detection	detection	NOUN
cana-1857	350	20	in	in	ADP
cana-1857	350	21	tweets	tweet	NOUN
cana-1857	350	22	.	.	PUNCT
cana-1857	351	1	in	in	ADP
cana-1857	351	2	proceedings	proceeding	NOUN
cana-1857	351	3	of	of	ADP
cana-1857	351	4	the	the	DET
cana-1857	351	5	2nd	2nd	ADJ
cana-1857	351	6	international	international	ADJ
cana-1857	351	7	conference	conference	NOUN
cana-1857	351	8	on	on	ADP
cana-1857	351	9	recent	recent	ADJ
cana-1857	351	10	trends	trend	NOUN
cana-1857	351	11	in	in	ADP
cana-1857	351	12	machine	machine	NOUN
cana-1857	351	13	learning	learning	NOUN
cana-1857	351	14	,	,	PUNCT
cana-1857	351	15	iot	iot	ADJ
cana-1857	351	16	,	,	PUNCT
cana-1857	351	17	smart	smart	ADJ
cana-1857	351	18	cities	city	NOUN
cana-1857	351	19	and	and	CCONJ
cana-1857	351	20	applications	application	NOUN
cana-1857	351	21	:	:	PUNCT
cana-1857	351	22	icmisc	icmisc	NOUN
cana-1857	351	23	2021	2021	NUM
cana-1857	351	24	,	,	PUNCT
cana-1857	351	25	springer	springer	NOUN
cana-1857	351	26	singapore	singapore	PROPN
cana-1857	351	27	,	,	PUNCT
cana-1857	351	28	2022	2022	NUM
cana-1857	351	29	,	,	PUNCT
cana-1857	351	30	pp	pp	ADJ
cana-1857	351	31	.	.	PUNCT
cana-1857	351	32	133–148	133–148	NUM
cana-1857	351	33	.	.	PUNCT
cana-1857	352	1	[	[	X
cana-1857	352	2	27	27	NUM
cana-1857	352	3	]	]	X
cana-1857	352	4	p.	p.	NOUN
cana-1857	352	5	singh	singh	PROPN
cana-1857	352	6	,	,	PUNCT
cana-1857	352	7	a.	a.	NOUN
cana-1857	352	8	manure	manure	NOUN
cana-1857	352	9	,	,	PUNCT
cana-1857	352	10	p.	p.	NOUN
cana-1857	352	11	singh	singh	PROPN
cana-1857	352	12	,	,	PUNCT
cana-1857	352	13	and	and	CCONJ
cana-1857	352	14	a.	a.	NOUN
cana-1857	352	15	manure	manure	NOUN
cana-1857	352	16	,	,	PUNCT
cana-1857	352	17	natural	natural	ADJ
cana-1857	352	18	language	language	NOUN
cana-1857	352	19	processing	processing	NOUN
cana-1857	352	20	with	with	ADP
cana-1857	352	21	tensorflow	tensorflow	NOUN
cana-1857	352	22	2.0	2.0	NUM
cana-1857	352	23	.	.	PUNCT
cana-1857	353	1	in	in	ADP
cana-1857	353	2	learn	learn	VERB
cana-1857	353	3	tensorflow	tensorflow	NOUN
cana-1857	353	4	2.0	2.0	NUM
cana-1857	353	5	:	:	PUNCT
cana-1857	353	6	implement	implement	VERB
cana-1857	353	7	machine	machine	NOUN
cana-1857	353	8	learning	learning	NOUN
cana-1857	353	9	and	and	CCONJ
cana-1857	353	10	deep	deep	ADJ
cana-1857	353	11	learning	learning	NOUN
cana-1857	353	12	models	model	NOUN
cana-1857	353	13	with	with	ADP
cana-1857	353	14	python	python	PROPN
cana-1857	353	15	,	,	PUNCT
cana-1857	353	16	2020	2020	NUM
cana-1857	353	17	,	,	PUNCT
cana-1857	353	18	pp	pp	ADV
cana-1857	353	19	.	.	PUNCT
cana-1857	354	1	107–129	107–129	NUM
cana-1857	354	2	.	.	PUNCT