id	sid	tid	token	lemma	pos
cana-3379	1	1	communications	communication	NOUN
cana-3379	1	2	on	on	ADP
cana-3379	1	3	applied	apply	VERB
cana-3379	1	4	nonlinear	nonlinear	ADJ
cana-3379	1	5	analysis	analysis	NOUN
cana-3379	1	6	issn	issn	NOUN
cana-3379	1	7	:	:	PUNCT
cana-3379	1	8	1074	1074	NUM
cana-3379	1	9	-	-	PUNCT
cana-3379	1	10	133x	133x	NUM
cana-3379	1	11	vol	vol	NOUN
cana-3379	1	12	32	32	NUM
cana-3379	1	13	no	no	NOUN
cana-3379	1	14	.	.	PUNCT
cana-3379	2	1	7s	7	NOUN
cana-3379	2	2	(	(	PUNCT
cana-3379	2	3	2025	2025	NUM
cana-3379	2	4	)	)	PUNCT
cana-3379	2	5	221	221	NUM
cana-3379	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3379	2	7	text	text	NOUN
cana-3379	2	8	-	-	PUNCT
cana-3379	2	9	based	base	VERB
cana-3379	2	10	airline	airline	NOUN
cana-3379	2	11	sentiments	sentiment	NOUN
cana-3379	2	12	analysis	analysis	NOUN
cana-3379	2	13	using	use	VERB
cana-3379	2	14	deep	deep	ADJ
cana-3379	2	15	learning	learn	VERB
cana-3379	2	16	ensemble	ensemble	ADJ
cana-3379	2	17	optimization	optimization	NOUN
cana-3379	2	18	abha	abha	NOUN
cana-3379	2	19	kiran	kiran	PROPN
cana-3379	3	1	rajpoot1	rajpoot1	PROPN
cana-3379	3	2	,	,	PUNCT
cana-3379	3	3	mayank	mayank	PROPN
cana-3379	3	4	kumar	kumar	PROPN
cana-3379	3	5	goyal2	goyal2	PROPN
cana-3379	3	6	,	,	PUNCT
cana-3379	3	7	mandeep	mandeep	PROPN
cana-3379	3	8	kaur3	kaur3	PROPN
cana-3379	3	9	,	,	PUNCT
cana-3379	3	10	anubhav	anubhav	PROPN
cana-3379	3	11	kumar4	kumar4	PROPN
cana-3379	3	12	,	,	PUNCT
cana-3379	3	13	kimmi	kimmi	PROPN
cana-3379	3	14	verma5	verma5	PROPN
cana-3379	3	15	,	,	PUNCT
cana-3379	3	16	setu	setu	VERB
cana-3379	3	17	garg6	garg6	PROPN
cana-3379	4	1	1,4school	1,4school	NUM
cana-3379	4	2	of	of	ADP
cana-3379	4	3	computer	computer	NOUN
cana-3379	4	4	science	science	PROPN
cana-3379	4	5	&	&	CCONJ
cana-3379	4	6	engineering	engineering	PROPN
cana-3379	4	7	,	,	PUNCT
cana-3379	4	8	galgotias	galgotias	PROPN
cana-3379	4	9	university	university	NOUN
cana-3379	4	10	,	,	PUNCT
cana-3379	4	11	greater	great	ADJ
cana-3379	4	12	noida	noida	PROPN
cana-3379	4	13	2department	2department	NUM
cana-3379	4	14	of	of	ADP
cana-3379	4	15	computer	computer	NOUN
cana-3379	4	16	science	science	PROPN
cana-3379	4	17	&	&	CCONJ
cana-3379	4	18	engineering	engineering	PROPN
cana-3379	4	19	,	,	PUNCT
cana-3379	4	20	sset	sset	NOUN
cana-3379	4	21	,	,	PUNCT
cana-3379	4	22	sharda	sharda	PROPN
cana-3379	4	23	university	university	PROPN
cana-3379	4	24	,	,	PUNCT
cana-3379	4	25	greater	great	ADJ
cana-3379	4	26	noida	noida	PROPN
cana-3379	4	27	3school	3school	NUM
cana-3379	4	28	of	of	ADP
cana-3379	4	29	computer	computer	NOUN
cana-3379	4	30	science	science	NOUN
cana-3379	4	31	engineering	engineering	NOUN
cana-3379	4	32	and	and	CCONJ
cana-3379	4	33	technology	technology	NOUN
cana-3379	4	34	,	,	PUNCT
cana-3379	4	35	bennett	bennett	PROPN
cana-3379	4	36	university	university	PROPN
cana-3379	4	37	,	,	PUNCT
cana-3379	4	38	greater	great	ADJ
cana-3379	4	39	noida	noida	PROPN
cana-3379	4	40	5department	5department	NUM
cana-3379	4	41	of	of	ADP
cana-3379	4	42	computer	computer	NOUN
cana-3379	4	43	science	science	PROPN
cana-3379	4	44	&	&	CCONJ
cana-3379	4	45	engineering	engineering	PROPN
cana-3379	4	46	,	,	PUNCT
cana-3379	4	47	abes	abes	PROPN
cana-3379	4	48	engineering	engineering	NOUN
cana-3379	4	49	college	college	NOUN
cana-3379	4	50	,	,	PUNCT
cana-3379	4	51	ghaziabad	ghaziabad	PROPN
cana-3379	4	52	6department	6department	NUM
cana-3379	4	53	of	of	ADP
cana-3379	4	54	ece	ece	PROPN
cana-3379	4	55	,	,	PUNCT
cana-3379	4	56	its	its	PRON
cana-3379	4	57	engineering	engineering	NOUN
cana-3379	4	58	college	college	NOUN
cana-3379	4	59	,	,	PUNCT
cana-3379	4	60	greater	great	ADJ
cana-3379	4	61	noida	noida	PROPN
cana-3379	4	62	article	article	NOUN
cana-3379	4	63	history	history	NOUN
cana-3379	4	64	:	:	PUNCT
cana-3379	4	65	received	receive	VERB
cana-3379	4	66	:	:	PUNCT
cana-3379	4	67	24	24	NUM
cana-3379	4	68	-	-	SYM
cana-3379	4	69	10	10	NUM
cana-3379	4	70	-	-	PUNCT
cana-3379	4	71	2024	2024	NUM
cana-3379	4	72	revised	revise	VERB
cana-3379	4	73	:	:	PUNCT
cana-3379	4	74	07	07	NUM
cana-3379	4	75	-	-	SYM
cana-3379	4	76	11	11	NUM
cana-3379	4	77	-	-	PUNCT
cana-3379	4	78	2024	2024	NUM
cana-3379	4	79	accepted	accept	VERB
cana-3379	4	80	:	:	PUNCT
cana-3379	4	81	15	15	NUM
cana-3379	4	82	-	-	SYM
cana-3379	4	83	12	12	NUM
cana-3379	4	84	-	-	PUNCT
cana-3379	4	85	2024	2024	NUM
cana-3379	4	86	abstract	abstract	NOUN
cana-3379	4	87	:	:	PUNCT
cana-3379	4	88	text	text	NOUN
cana-3379	4	89	sentiment	sentiment	NOUN
cana-3379	4	90	analysis	analysis	NOUN
cana-3379	4	91	is	be	AUX
cana-3379	4	92	one	one	NUM
cana-3379	4	93	of	of	ADP
cana-3379	4	94	the	the	DET
cana-3379	4	95	foundational	foundational	ADJ
cana-3379	4	96	pillars	pillar	NOUN
cana-3379	4	97	of	of	ADP
cana-3379	4	98	sentiment	sentiment	NOUN
cana-3379	4	99	analysis	analysis	NOUN
cana-3379	4	100	.	.	PUNCT
cana-3379	5	1	there	there	PRON
cana-3379	5	2	has	have	AUX
cana-3379	5	3	n't	not	PART
cana-3379	5	4	been	be	AUX
cana-3379	5	5	any	any	DET
cana-3379	5	6	research	research	NOUN
cana-3379	5	7	done	do	VERB
cana-3379	5	8	yet	yet	ADV
cana-3379	5	9	that	that	PRON
cana-3379	5	10	makes	make	VERB
cana-3379	5	11	the	the	DET
cana-3379	5	12	use	use	NOUN
cana-3379	5	13	of	of	ADP
cana-3379	5	14	the	the	DET
cana-3379	5	15	combined	combine	VERB
cana-3379	5	16	power	power	NOUN
cana-3379	5	17	of	of	ADP
cana-3379	5	18	modern	modern	ADJ
cana-3379	5	19	models	model	NOUN
cana-3379	5	20	and	and	CCONJ
cana-3379	5	21	contextual	contextual	ADJ
cana-3379	5	22	information	information	NOUN
cana-3379	5	23	present	present	ADJ
cana-3379	5	24	in	in	ADP
cana-3379	5	25	texts	text	NOUN
cana-3379	5	26	,	,	PUNCT
cana-3379	5	27	nor	nor	CCONJ
cana-3379	5	28	has	have	AUX
cana-3379	5	29	it	it	PRON
cana-3379	5	30	been	be	AUX
cana-3379	5	31	studied	study	VERB
cana-3379	5	32	how	how	SCONJ
cana-3379	5	33	contextual	contextual	ADJ
cana-3379	5	34	information	information	NOUN
cana-3379	5	35	may	may	AUX
cana-3379	5	36	be	be	AUX
cana-3379	5	37	controlled	control	VERB
cana-3379	5	38	in	in	ADP
cana-3379	5	39	any	any	DET
cana-3379	5	40	effective	effective	ADJ
cana-3379	5	41	manner	manner	NOUN
cana-3379	5	42	.	.	PUNCT
cana-3379	6	1	it	it	PRON
cana-3379	6	2	has	have	AUX
cana-3379	6	3	been	be	AUX
cana-3379	6	4	demonstrated	demonstrate	VERB
cana-3379	6	5	that	that	SCONJ
cana-3379	6	6	the	the	DET
cana-3379	6	7	model	model	NOUN
cana-3379	6	8	proposed	propose	VERB
cana-3379	6	9	in	in	ADP
cana-3379	6	10	this	this	DET
cana-3379	6	11	paper	paper	NOUN
cana-3379	6	12	can	can	AUX
cana-3379	6	13	be	be	AUX
cana-3379	6	14	used	use	VERB
cana-3379	6	15	to	to	PART
cana-3379	6	16	accurately	accurately	ADV
cana-3379	6	17	and	and	CCONJ
cana-3379	6	18	efficiently	efficiently	ADV
cana-3379	6	19	classify	classify	VERB
cana-3379	6	20	sentiments	sentiment	NOUN
cana-3379	6	21	for	for	ADP
cana-3379	6	22	a	a	DET
cana-3379	6	23	given	give	VERB
cana-3379	6	24	topic	topic	NOUN
cana-3379	6	25	.	.	PUNCT
cana-3379	7	1	the	the	DET
cana-3379	7	2	system	system	NOUN
cana-3379	7	3	is	be	AUX
cana-3379	7	4	able	able	ADJ
cana-3379	7	5	to	to	PART
cana-3379	7	6	capture	capture	VERB
cana-3379	7	7	all	all	PRON
cana-3379	7	8	of	of	ADP
cana-3379	7	9	the	the	DET
cana-3379	7	10	content	content	NOUN
cana-3379	7	11	contained	contain	VERB
cana-3379	7	12	within	within	ADP
cana-3379	7	13	the	the	DET
cana-3379	7	14	text	text	NOUN
cana-3379	7	15	by	by	ADP
cana-3379	7	16	combining	combine	VERB
cana-3379	7	17	rule	rule	NOUN
cana-3379	7	18	-	-	PUNCT
cana-3379	7	19	based	base	VERB
cana-3379	7	20	methods	method	NOUN
cana-3379	7	21	and	and	CCONJ
cana-3379	7	22	deep	deep	ADJ
cana-3379	7	23	learning	learning	NOUN
cana-3379	7	24	models	model	NOUN
cana-3379	7	25	.	.	PUNCT
cana-3379	8	1	in	in	ADP
cana-3379	8	2	a	a	DET
cana-3379	8	3	study	study	NOUN
cana-3379	8	4	undertaken	undertake	VERB
cana-3379	8	5	by	by	ADP
cana-3379	8	6	our	our	PRON
cana-3379	8	7	group	group	NOUN
cana-3379	8	8	,	,	PUNCT
cana-3379	8	9	it	it	PRON
cana-3379	8	10	has	have	AUX
cana-3379	8	11	been	be	AUX
cana-3379	8	12	found	find	VERB
cana-3379	8	13	that	that	SCONJ
cana-3379	8	14	building	build	VERB
cana-3379	8	15	an	an	DET
cana-3379	8	16	embedded	embed	VERB
cana-3379	8	17	representation	representation	NOUN
cana-3379	8	18	and	and	CCONJ
cana-3379	8	19	attention	attention	NOUN
cana-3379	8	20	mechanism	mechanism	NOUN
cana-3379	8	21	is	be	AUX
cana-3379	8	22	effective	effective	ADJ
cana-3379	8	23	in	in	ADP
cana-3379	8	24	the	the	DET
cana-3379	8	25	processing	processing	NOUN
cana-3379	8	26	of	of	ADP
cana-3379	8	27	valence	valence	NOUN
cana-3379	8	28	shifting	shift	VERB
cana-3379	8	29	cases	case	NOUN
cana-3379	8	30	.	.	PUNCT
cana-3379	9	1	our	our	PRON
cana-3379	9	2	proposed	propose	VERB
cana-3379	9	3	mechanism	mechanism	NOUN
cana-3379	9	4	also	also	ADV
cana-3379	9	5	combines	combine	VERB
cana-3379	9	6	custom	custom	ADV
cana-3379	9	7	-	-	PUNCT
cana-3379	9	8	designed	design	VERB
cana-3379	9	9	rules	rule	NOUN
cana-3379	9	10	along	along	ADP
cana-3379	9	11	with	with	ADP
cana-3379	9	12	domain	domain	NOUN
cana-3379	9	13	-	-	PUNCT
cana-3379	9	14	specific	specific	ADJ
cana-3379	9	15	sentiment	sentiment	NOUN
cana-3379	9	16	dictionaries	dictionary	NOUN
cana-3379	9	17	.	.	PUNCT
cana-3379	10	1	the	the	DET
cana-3379	10	2	proposed	propose	VERB
cana-3379	10	3	method	method	NOUN
cana-3379	10	4	has	have	AUX
cana-3379	10	5	been	be	AUX
cana-3379	10	6	tested	test	VERB
cana-3379	10	7	using	use	VERB
cana-3379	10	8	three	three	NUM
cana-3379	10	9	datasets	dataset	NOUN
cana-3379	10	10	and	and	CCONJ
cana-3379	10	11	has	have	AUX
cana-3379	10	12	shown	show	VERB
cana-3379	10	13	superior	superior	ADJ
cana-3379	10	14	performance	performance	NOUN
cana-3379	10	15	to	to	ADP
cana-3379	10	16	other	other	ADJ
cana-3379	10	17	methods	method	NOUN
cana-3379	10	18	,	,	PUNCT
cana-3379	10	19	regardless	regardless	ADV
cana-3379	10	20	of	of	ADP
cana-3379	10	21	its	its	PRON
cana-3379	10	22	higher	high	ADJ
cana-3379	10	23	cost	cost	NOUN
cana-3379	10	24	as	as	SCONJ
cana-3379	10	25	compared	compare	VERB
cana-3379	10	26	to	to	ADP
cana-3379	10	27	other	other	ADJ
cana-3379	10	28	methods	method	NOUN
cana-3379	10	29	.	.	PUNCT
cana-3379	11	1	ppd	ppd	NOUN
cana-3379	11	2	(	(	PUNCT
cana-3379	11	3	probability	probability	NOUN
cana-3379	11	4	proportion	proportion	NOUN
cana-3379	11	5	difference	difference	NOUN
cana-3379	11	6	)	)	PUNCT
cana-3379	11	7	is	be	AUX
cana-3379	11	8	used	use	VERB
cana-3379	11	9	in	in	ADP
cana-3379	11	10	this	this	DET
cana-3379	11	11	study	study	NOUN
cana-3379	11	12	to	to	PART
cana-3379	11	13	pick	pick	VERB
cana-3379	11	14	characteristics	characteristic	NOUN
cana-3379	11	15	that	that	PRON
cana-3379	11	16	regard	regard	VERB
cana-3379	11	17	each	each	DET
cana-3379	11	18	term	term	NOUN
cana-3379	11	19	to	to	PART
cana-3379	11	20	be	be	AUX
cana-3379	11	21	part	part	NOUN
cana-3379	11	22	of	of	ADP
cana-3379	11	23	a	a	DET
cana-3379	11	24	class	class	NOUN
cana-3379	11	25	list	list	NOUN
cana-3379	11	26	.	.	PUNCT
cana-3379	12	1	it	it	PRON
cana-3379	12	2	's	be	AUX
cana-3379	12	3	a	a	DET
cana-3379	12	4	quick	quick	ADJ
cana-3379	12	5	and	and	CCONJ
cana-3379	12	6	easy	easy	ADJ
cana-3379	12	7	way	way	NOUN
cana-3379	12	8	to	to	PART
cana-3379	12	9	remove	remove	VERB
cana-3379	12	10	irrelevant	irrelevant	ADJ
cana-3379	12	11	words	word	NOUN
cana-3379	12	12	from	from	ADP
cana-3379	12	13	a	a	DET
cana-3379	12	14	feature	feature	NOUN
cana-3379	12	15	vector	vector	NOUN
cana-3379	12	16	.	.	PUNCT
cana-3379	13	1	categorical	categorical	ADJ
cana-3379	13	2	probability	probability	NOUN
cana-3379	13	3	proportion	proportion	NOUN
cana-3379	13	4	difference	difference	NOUN
cana-3379	13	5	(	(	PUNCT
cana-3379	13	6	cppd	cppd	NOUN
cana-3379	13	7	)	)	PUNCT
cana-3379	13	8	and	and	CCONJ
cana-3379	13	9	probability	probability	NOUN
cana-3379	13	10	proportion	proportion	NOUN
cana-3379	13	11	difference	difference	NOUN
cana-3379	13	12	(	(	PUNCT
cana-3379	13	13	ppd	ppd	NOUN
cana-3379	13	14	)	)	PUNCT
cana-3379	13	15	are	be	AUX
cana-3379	13	16	used	use	VERB
cana-3379	13	17	to	to	PART
cana-3379	13	18	choose	choose	VERB
cana-3379	13	19	features	feature	NOUN
cana-3379	13	20	in	in	ADP
cana-3379	13	21	a	a	DET
cana-3379	13	22	suggested	suggest	VERB
cana-3379	13	23	method	method	NOUN
cana-3379	13	24	(	(	PUNCT
cana-3379	13	25	cpd	cpd	NOUN
cana-3379	13	26	)	)	PUNCT
cana-3379	13	27	.	.	PUNCT
cana-3379	14	1	in	in	ADP
cana-3379	14	2	order	order	NOUN
cana-3379	14	3	to	to	PART
cana-3379	14	4	identify	identify	VERB
cana-3379	14	5	features	feature	NOUN
cana-3379	14	6	that	that	PRON
cana-3379	14	7	effectively	effectively	ADV
cana-3379	14	8	distinguish	distinguish	VERB
cana-3379	14	9	between	between	ADP
cana-3379	14	10	classes	class	NOUN
cana-3379	14	11	and	and	CCONJ
cana-3379	14	12	deliver	deliver	VERB
cana-3379	14	13	the	the	DET
cana-3379	14	14	necessary	necessary	ADJ
cana-3379	14	15	outcomes	outcome	NOUN
cana-3379	14	16	,	,	PUNCT
cana-3379	14	17	cppd	cppd	PROPN
cana-3379	14	18	features	feature	VERB
cana-3379	14	19	selection	selection	NOUN
cana-3379	14	20	methods	method	NOUN
cana-3379	14	21	can	can	AUX
cana-3379	14	22	be	be	AUX
cana-3379	14	23	used	use	VERB
cana-3379	14	24	the	the	DET
cana-3379	14	25	comparison	comparison	NOUN
cana-3379	14	26	of	of	ADP
cana-3379	14	27	the	the	DET
cana-3379	14	28	proposed	propose	VERB
cana-3379	14	29	methods	method	NOUN
cana-3379	14	30	'	'	PART
cana-3379	14	31	performance	performance	NOUN
cana-3379	14	32	with	with	ADP
cana-3379	14	33	that	that	PRON
cana-3379	14	34	of	of	ADP
cana-3379	14	35	the	the	DET
cana-3379	14	36	cpd	cpd	ADJ
cana-3379	14	37	method	method	NOUN
cana-3379	14	38	and	and	CCONJ
cana-3379	14	39	the	the	DET
cana-3379	14	40	information	information	NOUN
cana-3379	14	41	gain	gain	NOUN
cana-3379	14	42	(	(	PUNCT
cana-3379	14	43	ig	ig	NOUN
cana-3379	14	44	)	)	PUNCT
cana-3379	14	45	approach	approach	NOUN
cana-3379	14	46	shows	show	VERB
cana-3379	14	47	that	that	SCONJ
cana-3379	14	48	all	all	DET
cana-3379	14	49	three	three	NUM
cana-3379	14	50	methods	method	NOUN
cana-3379	14	51	are	be	AUX
cana-3379	14	52	comparable	comparable	ADJ
cana-3379	14	53	in	in	ADP
cana-3379	14	54	their	their	PRON
cana-3379	14	55	ability	ability	NOUN
cana-3379	14	56	to	to	PART
cana-3379	14	57	detect	detect	VERB
cana-3379	14	58	sentiment	sentiment	NOUN
cana-3379	14	59	.	.	PUNCT
cana-3379	15	1	two	two	NUM
cana-3379	15	2	standard	standard	ADJ
cana-3379	15	3	datasets	dataset	NOUN
cana-3379	15	4	(	(	PUNCT
cana-3379	15	5	each	each	PRON
cana-3379	15	6	containing	contain	VERB
cana-3379	15	7	a	a	DET
cana-3379	15	8	number	number	NOUN
cana-3379	15	9	of	of	ADP
cana-3379	15	10	movie	movie	NOUN
cana-3379	15	11	reviews	review	NOUN
cana-3379	15	12	and	and	CCONJ
cana-3379	15	13	a	a	DET
cana-3379	15	14	number	number	NOUN
cana-3379	15	15	of	of	ADP
cana-3379	15	16	book	book	NOUN
cana-3379	15	17	reviews	review	NOUN
cana-3379	15	18	)	)	PUNCT
cana-3379	15	19	have	have	AUX
cana-3379	15	20	been	be	AUX
cana-3379	15	21	used	use	VERB
cana-3379	15	22	as	as	ADP
cana-3379	15	23	data	datum	NOUN
cana-3379	15	24	sources	source	NOUN
cana-3379	15	25	for	for	ADP
cana-3379	15	26	testing	testing	NOUN
cana-3379	15	27	suggested	suggest	VERB
cana-3379	15	28	feature	feature	NOUN
cana-3379	15	29	selection	selection	NOUN
cana-3379	15	30	methods	method	NOUN
cana-3379	15	31	.	.	PUNCT
cana-3379	16	1	a	a	DET
cana-3379	16	2	study	study	NOUN
cana-3379	16	3	conducted	conduct	VERB
cana-3379	16	4	by	by	ADP
cana-3379	16	5	the	the	DET
cana-3379	16	6	authors	author	NOUN
cana-3379	16	7	of	of	ADP
cana-3379	16	8	this	this	DET
cana-3379	16	9	article	article	NOUN
cana-3379	16	10	suggests	suggest	VERB
cana-3379	16	11	that	that	SCONJ
cana-3379	16	12	the	the	DET
cana-3379	16	13	cppd	cppd	PROPN
cana-3379	16	14	feature	feature	NOUN
cana-3379	16	15	selection	selection	NOUN
cana-3379	16	16	method	method	NOUN
cana-3379	16	17	proposed	propose	VERB
cana-3379	16	18	in	in	ADP
cana-3379	16	19	this	this	DET
cana-3379	16	20	article	article	NOUN
cana-3379	16	21	performs	perform	VERB
cana-3379	16	22	better	well	ADV
cana-3379	16	23	for	for	ADP
cana-3379	16	24	sentiment	sentiment	NOUN
cana-3379	16	25	classification	classification	NOUN
cana-3379	16	26	than	than	ADP
cana-3379	16	27	other	other	ADJ
cana-3379	16	28	methods	method	NOUN
cana-3379	16	29	.	.	PUNCT
cana-3379	17	1	the	the	DET
cana-3379	17	2	proposed	propose	VERB
cana-3379	17	3	model	model	NOUN
cana-3379	17	4	is	be	AUX
cana-3379	17	5	fast	fast	ADJ
cana-3379	17	6	and	and	CCONJ
cana-3379	17	7	uses	use	VERB
cana-3379	17	8	the	the	DET
cana-3379	17	9	virgin	virgin	PROPN
cana-3379	17	10	america	america	PROPN
cana-3379	17	11	airlines	airlines	PROPN
cana-3379	17	12	reviews	review	VERB
cana-3379	17	13	dataset	dataset	VERB
cana-3379	17	14	for	for	ADP
cana-3379	17	15	training	training	NOUN
cana-3379	17	16	and	and	CCONJ
cana-3379	17	17	testing	testing	NOUN
cana-3379	17	18	.	.	PUNCT
cana-3379	18	1	the	the	DET
cana-3379	18	2	monkey	monkey	NOUN
cana-3379	18	3	learn	learn	VERB
cana-3379	18	4	model	model	NOUN
cana-3379	18	5	achieved	achieve	VERB
cana-3379	18	6	75	75	NUM
cana-3379	18	7	%	%	NOUN
cana-3379	18	8	precision	precision	NOUN
cana-3379	18	9	,	,	PUNCT
cana-3379	18	10	91	91	NUM
cana-3379	18	11	%	%	NOUN
cana-3379	18	12	recall	recall	NOUN
cana-3379	18	13	,	,	PUNCT
cana-3379	18	14	and	and	CCONJ
cana-3379	18	15	89	89	NUM
cana-3379	18	16	%	%	NOUN
cana-3379	18	17	of	of	ADP
cana-3379	18	18	accuracy	accuracy	NOUN
cana-3379	18	19	,	,	PUNCT
cana-3379	18	20	showing	show	VERB
cana-3379	18	21	the	the	DET
cana-3379	18	22	model	model	NOUN
cana-3379	18	23	capabilities	capability	NOUN
cana-3379	18	24	in	in	ADP
cana-3379	18	25	real	real	ADJ
cana-3379	18	26	time	time	NOUN
cana-3379	18	27	text	text	NOUN
cana-3379	18	28	sentiment	sentiment	NOUN
cana-3379	18	29	analysis	analysis	NOUN
cana-3379	18	30	.	.	PUNCT
cana-3379	19	1	keywords	keyword	NOUN
cana-3379	19	2	:	:	PUNCT
cana-3379	19	3	tf	tf	PROPN
cana-3379	19	4	-	-	PUNCT
cana-3379	19	5	idf	idf	PROPN
cana-3379	19	6	,	,	PUNCT
cana-3379	19	7	textual	textual	ADJ
cana-3379	19	8	classification	classification	NOUN
cana-3379	19	9	,	,	PUNCT
cana-3379	19	10	web	web	NOUN
cana-3379	19	11	2.0	2.0	NUM
cana-3379	19	12	,	,	PUNCT
cana-3379	19	13	deep	deep	ADJ
cana-3379	19	14	learning	learning	NOUN
cana-3379	19	15	,	,	PUNCT
cana-3379	19	16	machine	machine	NOUN
cana-3379	19	17	learning	learning	NOUN
cana-3379	19	18	,	,	PUNCT
cana-3379	19	19	sentiment	sentiment	VERB
cana-3379	19	20	analysis	analysis	NOUN
cana-3379	19	21	communications	communication	NOUN
cana-3379	19	22	on	on	ADP
cana-3379	19	23	applied	apply	VERB
cana-3379	19	24	nonlinear	nonlinear	ADJ
cana-3379	19	25	analysis	analysis	NOUN
cana-3379	19	26	issn	issn	NOUN
cana-3379	19	27	:	:	PUNCT
cana-3379	19	28	1074	1074	NUM
cana-3379	19	29	-	-	PUNCT
cana-3379	19	30	133x	133x	NUM
cana-3379	19	31	vol	vol	NOUN
cana-3379	19	32	32	32	NUM
cana-3379	19	33	no	no	NOUN
cana-3379	19	34	.	.	PUNCT
cana-3379	20	1	7s	7	NOUN
cana-3379	20	2	(	(	PUNCT
cana-3379	20	3	2025	2025	NUM
cana-3379	20	4	)	)	PUNCT
cana-3379	20	5	222	222	NUM
cana-3379	20	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3379	20	7	1	1	NUM
cana-3379	20	8	.	.	PUNCT
cana-3379	21	1	introduction	introduction	NOUN
cana-3379	21	2	people	people	NOUN
cana-3379	21	3	are	be	AUX
cana-3379	21	4	increasingly	increasingly	ADV
cana-3379	21	5	expressing	express	VERB
cana-3379	21	6	their	their	PRON
cana-3379	21	7	thoughts	thought	NOUN
cana-3379	21	8	,	,	PUNCT
cana-3379	21	9	opinions	opinion	NOUN
cana-3379	21	10	,	,	PUNCT
cana-3379	21	11	experiences	experience	NOUN
cana-3379	21	12	,	,	PUNCT
cana-3379	21	13	attitudes	attitude	NOUN
cana-3379	21	14	,	,	PUNCT
cana-3379	21	15	feelings	feeling	NOUN
cana-3379	21	16	,	,	PUNCT
cana-3379	21	17	and	and	CCONJ
cana-3379	21	18	emotions	emotion	NOUN
cana-3379	21	19	on	on	ADP
cana-3379	21	20	the	the	DET
cana-3379	21	21	web	web	NOUN
cana-3379	21	22	,	,	PUNCT
cana-3379	21	23	thanks	thank	NOUN
cana-3379	21	24	to	to	ADP
cana-3379	21	25	rapid	rapid	ADJ
cana-3379	21	26	technological	technological	ADJ
cana-3379	21	27	advances	advance	NOUN
cana-3379	21	28	.	.	PUNCT
cana-3379	22	1	thus	thus	ADV
cana-3379	22	2	,	,	PUNCT
cana-3379	22	3	it	it	PRON
cana-3379	22	4	has	have	AUX
cana-3379	22	5	become	become	VERB
cana-3379	22	6	increasingly	increasingly	ADV
cana-3379	22	7	important	important	ADJ
cana-3379	22	8	to	to	ADP
cana-3379	22	9	process	process	VERB
cana-3379	22	10	,	,	PUNCT
cana-3379	22	11	organize	organize	VERB
cana-3379	22	12	,	,	PUNCT
cana-3379	22	13	and	and	CCONJ
cana-3379	22	14	analyze	analyze	VERB
cana-3379	22	15	web	web	NOUN
cana-3379	22	16	content	content	NOUN
cana-3379	22	17	in	in	ADP
cana-3379	22	18	order	order	NOUN
cana-3379	22	19	to	to	PART
cana-3379	22	20	find	find	VERB
cana-3379	22	21	out	out	ADP
cana-3379	22	22	users	user	NOUN
cana-3379	22	23	'	'	PART
cana-3379	22	24	opinions	opinion	NOUN
cana-3379	22	25	[	[	X
cana-3379	22	26	1	1	NUM
cana-3379	22	27	]	]	PUNCT
cana-3379	22	28	.	.	PUNCT
cana-3379	23	1	natural	natural	ADJ
cana-3379	23	2	language	language	NOUN
cana-3379	23	3	processing	processing	NOUN
cana-3379	23	4	has	have	AUX
cana-3379	23	5	incorporated	incorporate	VERB
cana-3379	23	6	sentiment	sentiment	NOUN
cana-3379	23	7	analysis	analysis	NOUN
cana-3379	23	8	since	since	SCONJ
cana-3379	23	9	2002	2002	NUM
cana-3379	23	10	as	as	ADP
cana-3379	23	11	one	one	NUM
cana-3379	23	12	of	of	ADP
cana-3379	23	13	the	the	DET
cana-3379	23	14	most	most	ADV
cana-3379	23	15	intriguing	intriguing	ADJ
cana-3379	23	16	areas	area	NOUN
cana-3379	23	17	.	.	PUNCT
cana-3379	24	1	a	a	DET
cana-3379	24	2	document	document	NOUN
cana-3379	24	3	's	's	PART
cana-3379	24	4	polarity	polarity	NOUN
cana-3379	24	5	(	(	PUNCT
cana-3379	24	6	positive	positive	ADJ
cana-3379	24	7	,	,	PUNCT
cana-3379	24	8	negative	negative	ADJ
cana-3379	24	9	,	,	PUNCT
cana-3379	24	10	or	or	CCONJ
cana-3379	24	11	neutral	neutral	ADJ
cana-3379	24	12	)	)	PUNCT
cana-3379	24	13	and	and	CCONJ
cana-3379	24	14	strength	strength	NOUN
cana-3379	24	15	can	can	AUX
cana-3379	24	16	be	be	AUX
cana-3379	24	17	determined	determine	VERB
cana-3379	24	18	automatically	automatically	ADV
cana-3379	24	19	using	use	VERB
cana-3379	24	20	sentiment	sentiment	NOUN
cana-3379	24	21	analysis	analysis	NOUN
cana-3379	24	22	by	by	ADP
cana-3379	24	23	classifying	classify	VERB
cana-3379	24	24	it	it	PRON
cana-3379	24	25	from	from	ADP
cana-3379	24	26	positive	positive	ADJ
cana-3379	24	27	to	to	PART
cana-3379	24	28	negative	negative	ADJ
cana-3379	24	29	to	to	ADP
cana-3379	24	30	neutral	neutral	ADJ
cana-3379	24	31	based	base	VERB
cana-3379	24	32	on	on	ADP
cana-3379	24	33	its	its	PRON
cana-3379	24	34	data	datum	NOUN
cana-3379	24	35	or	or	CCONJ
cana-3379	24	36	meaning	mean	VERB
cana-3379	24	37	[	[	X
cana-3379	24	38	2	2	NUM
cana-3379	24	39	-	-	SYM
cana-3379	24	40	4	4	NUM
cana-3379	24	41	]	]	PUNCT
cana-3379	24	42	.	.	PUNCT
cana-3379	25	1	to	to	PART
cana-3379	25	2	examine	examine	VERB
cana-3379	25	3	sentiment	sentiment	NOUN
cana-3379	25	4	analysis	analysis	NOUN
cana-3379	25	5	,	,	PUNCT
cana-3379	25	6	we	we	PRON
cana-3379	25	7	have	have	AUX
cana-3379	25	8	looked	look	VERB
cana-3379	25	9	at	at	ADP
cana-3379	25	10	it	it	PRON
cana-3379	25	11	from	from	ADP
cana-3379	25	12	two	two	NUM
cana-3379	25	13	perspectives	perspective	NOUN
cana-3379	25	14	by	by	ADP
cana-3379	25	15	applying	apply	VERB
cana-3379	25	16	machine	machine	NOUN
cana-3379	25	17	learning	learn	VERB
cana-3379	25	18	to	to	PART
cana-3379	25	19	build	build	VERB
cana-3379	25	20	classification	classification	NOUN
cana-3379	25	21	models	model	NOUN
cana-3379	25	22	based	base	VERB
cana-3379	25	23	on	on	ADP
cana-3379	25	24	labeled	label	VERB
cana-3379	25	25	data	datum	NOUN
cana-3379	25	26	;	;	PUNCT
cana-3379	25	27	and	and	CCONJ
cana-3379	25	28	by	by	ADP
cana-3379	25	29	analyzing	analyze	VERB
cana-3379	25	30	the	the	DET
cana-3379	25	31	expression	expression	NOUN
cana-3379	25	32	and	and	CCONJ
cana-3379	25	33	meaning	meaning	NOUN
cana-3379	25	34	of	of	ADP
cana-3379	25	35	words	word	NOUN
cana-3379	25	36	and	and	CCONJ
cana-3379	25	37	phrases	phrase	NOUN
cana-3379	25	38	in	in	ADP
cana-3379	25	39	a	a	DET
cana-3379	25	40	text	text	NOUN
cana-3379	25	41	to	to	PART
cana-3379	25	42	calculate	calculate	VERB
cana-3379	25	43	overall	overall	ADJ
cana-3379	25	44	polarization	polarization	NOUN
cana-3379	25	45	as	as	SCONJ
cana-3379	25	46	both	both	DET
cana-3379	25	47	users	user	NOUN
cana-3379	25	48	and	and	CCONJ
cana-3379	25	49	companies	company	NOUN
cana-3379	25	50	are	be	AUX
cana-3379	25	51	interested	interested	ADJ
cana-3379	25	52	in	in	ADP
cana-3379	25	53	understanding	understand	VERB
cana-3379	25	54	the	the	DET
cana-3379	25	55	opinions	opinion	NOUN
cana-3379	25	56	of	of	ADP
cana-3379	25	57	users	user	NOUN
cana-3379	25	58	,	,	PUNCT
cana-3379	25	59	such	such	ADJ
cana-3379	25	60	as	as	ADP
cana-3379	25	61	reviews	review	NOUN
cana-3379	25	62	for	for	ADP
cana-3379	25	63	electronic	electronic	ADJ
cana-3379	25	64	products	product	NOUN
cana-3379	25	65	like	like	ADP
cana-3379	25	66	laptops	laptop	NOUN
cana-3379	25	67	,	,	PUNCT
cana-3379	25	68	cars	car	NOUN
cana-3379	25	69	,	,	PUNCT
cana-3379	25	70	movies	movie	NOUN
cana-3379	25	71	,	,	PUNCT
cana-3379	25	72	etc	etc	X
cana-3379	26	1	[	[	X
cana-3379	26	2	3	3	NUM
cana-3379	26	3	-	-	SYM
cana-3379	26	4	5	5	NUM
cana-3379	26	5	]	]	PUNCT
cana-3379	26	6	.	.	PUNCT
cana-3379	27	1	we	we	PRON
cana-3379	27	2	propose	propose	VERB
cana-3379	27	3	a	a	DET
cana-3379	27	4	feature	feature	NOUN
cana-3379	27	5	selection	selection	NOUN
cana-3379	27	6	strategy	strategy	NOUN
cana-3379	27	7	as	as	ADP
cana-3379	27	8	a	a	DET
cana-3379	27	9	foundation	foundation	NOUN
cana-3379	27	10	for	for	ADP
cana-3379	27	11	increasing	increase	VERB
cana-3379	27	12	the	the	DET
cana-3379	27	13	performance	performance	NOUN
cana-3379	27	14	of	of	ADP
cana-3379	27	15	machine	machine	NOUN
cana-3379	27	16	learning	learning	NOUN
cana-3379	27	17	systems	system	NOUN
cana-3379	27	18	[	[	X
cana-3379	27	19	6	6	NUM
cana-3379	27	20	]	]	PUNCT
cana-3379	27	21	.	.	PUNCT
cana-3379	28	1	a	a	DET
cana-3379	28	2	binary	binary	ADJ
cana-3379	28	3	weighting	weighting	NOUN
cana-3379	28	4	strategy	strategy	NOUN
cana-3379	28	5	is	be	AUX
cana-3379	28	6	used	use	VERB
cana-3379	28	7	to	to	PART
cana-3379	28	8	represent	represent	VERB
cana-3379	28	9	the	the	DET
cana-3379	28	10	review	review	NOUN
cana-3379	28	11	papers	paper	NOUN
cana-3379	28	12	.	.	PUNCT
cana-3379	29	1	the	the	DET
cana-3379	29	2	reduced	reduced	ADJ
cana-3379	29	3	and	and	CCONJ
cana-3379	29	4	prominent	prominent	ADJ
cana-3379	29	5	feature	feature	NOUN
cana-3379	29	6	set	set	NOUN
cana-3379	29	7	is	be	AUX
cana-3379	29	8	then	then	ADV
cana-3379	29	9	subjected	subject	VERB
cana-3379	29	10	to	to	ADP
cana-3379	29	11	machine	machine	NOUN
cana-3379	29	12	learning	learning	NOUN
cana-3379	29	13	methods	method	NOUN
cana-3379	29	14	.	.	PUNCT
cana-3379	30	1	the	the	DET
cana-3379	30	2	process	process	NOUN
cana-3379	30	3	of	of	ADP
cana-3379	30	4	sentiment	sentiment	NOUN
cana-3379	30	5	analysis	analysis	NOUN
cana-3379	30	6	is	be	AUX
cana-3379	30	7	shown	show	VERB
cana-3379	30	8	in	in	ADP
cana-3379	30	9	fig	fig	NOUN
cana-3379	30	10	.	.	PUNCT
cana-3379	31	1	1	1	X
cana-3379	31	2	.	.	X
cana-3379	31	3	figure	figure	NOUN
cana-3379	31	4	1	1	NUM
cana-3379	31	5	:	:	PUNCT
cana-3379	31	6	feature	feature	NOUN
cana-3379	31	7	extraction	extraction	NOUN
cana-3379	31	8	of	of	ADP
cana-3379	31	9	text	text	NOUN
cana-3379	31	10	sentiment	sentiment	NOUN
cana-3379	31	11	analysis	analysis	NOUN
cana-3379	31	12	process	process	NOUN
cana-3379	31	13	this	this	DET
cana-3379	31	14	paper	paper	NOUN
cana-3379	31	15	offers	offer	VERB
cana-3379	31	16	the	the	DET
cana-3379	31	17	following	follow	VERB
cana-3379	31	18	main	main	ADJ
cana-3379	31	19	contributions	contribution	NOUN
cana-3379	31	20	in	in	ADP
cana-3379	31	21	the	the	DET
cana-3379	31	22	sentimental	sentimental	ADJ
cana-3379	31	23	analysis	analysis	NOUN
cana-3379	31	24	include	include	VERB
cana-3379	31	25	:	:	PUNCT
cana-3379	31	26	an	an	DET
cana-3379	31	27	ensemble	ensemble	ADJ
cana-3379	31	28	model	model	NOUN
cana-3379	31	29	for	for	ADP
cana-3379	31	30	sentiment	sentiment	NOUN
cana-3379	31	31	classification	classification	NOUN
cana-3379	31	32	that	that	PRON
cana-3379	31	33	incorporates	incorporate	VERB
cana-3379	31	34	various	various	ADJ
cana-3379	31	35	sub	sub	NOUN
cana-3379	31	36	-	-	NOUN
cana-3379	31	37	models	model	NOUN
cana-3379	31	38	of	of	ADP
cana-3379	31	39	sentiment	sentiment	NOUN
cana-3379	31	40	acquired	acquire	VERB
cana-3379	31	41	from	from	ADP
cana-3379	31	42	a	a	DET
cana-3379	31	43	range	range	NOUN
cana-3379	31	44	of	of	ADP
cana-3379	31	45	sub	sub	NOUN
cana-3379	31	46	-	-	NOUN
cana-3379	31	47	datasets	dataset	NOUN
cana-3379	31	48	has	have	AUX
cana-3379	31	49	been	be	AUX
cana-3379	31	50	suggested	suggest	VERB
cana-3379	31	51	.	.	PUNCT
cana-3379	32	1	in	in	ADP
cana-3379	32	2	the	the	DET
cana-3379	32	3	field	field	NOUN
cana-3379	32	4	of	of	ADP
cana-3379	32	5	linguistics	linguistic	NOUN
cana-3379	32	6	,	,	PUNCT
cana-3379	32	7	contextual	contextual	ADJ
cana-3379	32	8	factors	factor	NOUN
cana-3379	32	9	are	be	AUX
cana-3379	32	10	fully	fully	ADV
cana-3379	32	11	exploited	exploit	VERB
cana-3379	32	12	.	.	PUNCT
cana-3379	33	1	deep	deep	ADJ
cana-3379	33	2	learning	learning	NOUN
cana-3379	33	3	methods	method	NOUN
cana-3379	33	4	enhance	enhance	VERB
cana-3379	33	5	the	the	DET
cana-3379	33	6	adaptability	adaptability	NOUN
cana-3379	33	7	of	of	ADP
cana-3379	33	8	feature	feature	NOUN
cana-3379	33	9	extraction	extraction	NOUN
cana-3379	33	10	tasks	task	NOUN
cana-3379	33	11	using	use	VERB
cana-3379	33	12	rule	rule	NOUN
cana-3379	33	13	-	-	PUNCT
cana-3379	33	14	based	base	VERB
cana-3379	33	15	methods	method	NOUN
cana-3379	33	16	that	that	PRON
cana-3379	33	17	capture	capture	VERB
cana-3379	33	18	contextual	contextual	ADJ
cana-3379	33	19	valence	valence	NOUN
cana-3379	33	20	shifting	shift	VERB
cana-3379	33	21	.	.	PUNCT
cana-3379	34	1	as	as	ADV
cana-3379	34	2	well	well	ADV
cana-3379	34	3	as	as	ADP
cana-3379	34	4	embedding	embed	VERB
cana-3379	34	5	representation	representation	NOUN
cana-3379	34	6	and	and	CCONJ
cana-3379	34	7	attention	attention	NOUN
cana-3379	34	8	mechanisms	mechanism	NOUN
cana-3379	34	9	,	,	PUNCT
cana-3379	34	10	we	we	PRON
cana-3379	34	11	use	use	VERB
cana-3379	34	12	inductive	inductive	ADJ
cana-3379	34	13	sentiment	sentiment	NOUN
cana-3379	34	14	dictionaries	dictionary	NOUN
cana-3379	34	15	tailored	tailor	VERB
cana-3379	34	16	to	to	ADP
cana-3379	34	17	each	each	DET
cana-3379	34	18	domain	domain	NOUN
cana-3379	34	19	.	.	PUNCT
cana-3379	35	1	when	when	SCONJ
cana-3379	35	2	evaluated	evaluate	VERB
cana-3379	35	3	on	on	ADP
cana-3379	35	4	several	several	ADJ
cana-3379	35	5	datasets	dataset	NOUN
cana-3379	35	6	,	,	PUNCT
cana-3379	35	7	our	our	PRON
cana-3379	35	8	suggested	suggest	VERB
cana-3379	35	9	model	model	NOUN
cana-3379	35	10	outperforms	outperform	VERB
cana-3379	35	11	standard	standard	ADJ
cana-3379	35	12	state	state	NOUN
cana-3379	35	13	-	-	PUNCT
cana-3379	35	14	of	of	ADP
cana-3379	35	15	-	-	PUNCT
cana-3379	35	16	the	the	DET
cana-3379	35	17	-	-	PUNCT
cana-3379	35	18	art	art	NOUN
cana-3379	35	19	approaches	approach	NOUN
cana-3379	35	20	.	.	PUNCT
cana-3379	36	1	ppd	ppd	PROPN
cana-3379	36	2	and	and	CCONJ
cana-3379	36	3	cppd	cppd	PROPN
cana-3379	36	4	,	,	PUNCT
cana-3379	36	5	two	two	NUM
cana-3379	36	6	new	new	ADJ
cana-3379	36	7	features	feature	NOUN
cana-3379	36	8	selection	selection	NOUN
cana-3379	36	9	methods	method	NOUN
cana-3379	36	10	,	,	PUNCT
cana-3379	36	11	are	be	AUX
cana-3379	36	12	presented	present	VERB
cana-3379	36	13	to	to	PART
cana-3379	36	14	classify	classify	VERB
cana-3379	36	15	sentiment	sentiment	NOUN
cana-3379	36	16	.	.	PUNCT
cana-3379	37	1	2	2	X
cana-3379	37	2	.	.	X
cana-3379	37	3	literature	literature	NOUN
cana-3379	37	4	review	review	PROPN
cana-3379	37	5	pang	pang	NOUN
cana-3379	37	6	et	et	PROPN
cana-3379	37	7	al	al	PROPN
cana-3379	37	8	.	.	PROPN
cana-3379	37	9	2002	2002	NUM
cana-3379	37	10	employed	employ	VERB
cana-3379	37	11	the	the	DET
cana-3379	37	12	unigram	unigram	NOUN
cana-3379	37	13	and	and	CCONJ
cana-3379	37	14	bigram	bigram	NOUN
cana-3379	37	15	elements	element	NOUN
cana-3379	37	16	of	of	ADP
cana-3379	37	17	movie	movie	NOUN
cana-3379	37	18	reviews	review	NOUN
cana-3379	37	19	to	to	PART
cana-3379	37	20	analyse	analyse	VERB
cana-3379	37	21	sentiment	sentiment	NOUN
cana-3379	37	22	analysis	analysis	NOUN
cana-3379	37	23	of	of	ADP
cana-3379	37	24	movie	movie	NOUN
cana-3379	37	25	reviews	review	NOUN
cana-3379	37	26	.	.	PUNCT
cana-3379	38	1	then	then	ADV
cana-3379	38	2	they	they	PRON
cana-3379	38	3	applied	apply	VERB
cana-3379	38	4	svm	svm	PROPN
cana-3379	38	5	,	,	PUNCT
cana-3379	38	6	nb	nb	INTJ
cana-3379	38	7	,	,	PUNCT
cana-3379	38	8	and	and	CCONJ
cana-3379	38	9	a	a	DET
cana-3379	38	10	technique	technique	NOUN
cana-3379	38	11	known	know	VERB
cana-3379	38	12	as	as	ADP
cana-3379	38	13	maximum	maximum	ADJ
cana-3379	38	14	entropy	entropy	NOUN
cana-3379	38	15	(	(	PUNCT
cana-3379	38	16	me	i	PRON
cana-3379	38	17	)	)	PUNCT
cana-3379	38	18	.	.	PUNCT
cana-3379	39	1	there	there	PRON
cana-3379	39	2	was	be	VERB
cana-3379	39	3	a	a	DET
cana-3379	39	4	consensus	consensus	NOUN
cana-3379	39	5	that	that	DET
cana-3379	39	6	svms	svms	NOUN
cana-3379	39	7	outperformed	outperform	VERB
cana-3379	39	8	all	all	DET
cana-3379	39	9	other	other	ADJ
cana-3379	39	10	classifiers	classifier	NOUN
cana-3379	39	11	amongst	amongst	ADP
cana-3379	39	12	the	the	DET
cana-3379	39	13	authors	author	NOUN
cana-3379	39	14	.	.	PUNCT
cana-3379	40	1	further	far	ADV
cana-3379	40	2	,	,	PUNCT
cana-3379	40	3	the	the	DET
cana-3379	40	4	authors	author	NOUN
cana-3379	40	5	concluded	conclude	VERB
cana-3379	40	6	that	that	SCONJ
cana-3379	40	7	binary	binary	ADJ
cana-3379	40	8	weighting	weighting	NOUN
cana-3379	40	9	schemes	scheme	NOUN
cana-3379	40	10	offer	offer	VERB
cana-3379	40	11	more	more	ADJ
cana-3379	40	12	satisfactory	satisfactory	ADJ
cana-3379	40	13	results	result	NOUN
cana-3379	40	14	than	than	ADP
cana-3379	40	15	doing	do	VERB
cana-3379	40	16	term	term	NOUN
cana-3379	40	17	frequencies	frequency	NOUN
cana-3379	40	18	(	(	PUNCT
cana-3379	40	19	tfs	tfs	PROPN
cana-3379	40	20	)	)	PUNCT
cana-3379	40	21	as	as	ADP
cana-3379	40	22	a	a	DET
cana-3379	40	23	way	way	NOUN
cana-3379	40	24	to	to	PART
cana-3379	40	25	describe	describe	VERB
cana-3379	40	26	sentiment	sentiment	NOUN
cana-3379	40	27	in	in	ADP
cana-3379	40	28	the	the	DET
cana-3379	40	29	text	text	NOUN
cana-3379	41	1	[	[	X
cana-3379	41	2	8	8	NUM
cana-3379	41	3	]	]	PUNCT
cana-3379	41	4	.	.	PUNCT
cana-3379	42	1	a	a	DET
cana-3379	42	2	study	study	NOUN
cana-3379	42	3	conducted	conduct	VERB
cana-3379	42	4	by	by	ADP
cana-3379	42	5	svm	svm	PROPN
cana-3379	42	6	and	and	CCONJ
cana-3379	42	7	ig	ig	PROPN
cana-3379	42	8	researchers	researcher	NOUN
cana-3379	42	9	showed	show	VERB
cana-3379	42	10	that	that	SCONJ
cana-3379	42	11	the	the	DET
cana-3379	42	12	svm	svm	ADJ
cana-3379	42	13	algorithm	algorithm	NOUN
cana-3379	42	14	provides	provide	VERB
cana-3379	42	15	the	the	DET
cana-3379	42	16	best	good	ADJ
cana-3379	42	17	results	result	NOUN
cana-3379	42	18	when	when	SCONJ
cana-3379	42	19	comparing	compare	VERB
cana-3379	42	20	machine	machine	NOUN
cana-3379	42	21	learning	learning	NOUN
cana-3379	42	22	algorithms	algorithm	NOUN
cana-3379	42	23	,	,	PUNCT
cana-3379	42	24	so	so	SCONJ
cana-3379	42	25	that	that	PRON
cana-3379	42	26	is	be	AUX
cana-3379	42	27	worth	worth	ADJ
cana-3379	42	28	your	your	PRON
cana-3379	42	29	attention	attention	NOUN
cana-3379	43	1	[	[	X
cana-3379	43	2	9	9	NUM
cana-3379	43	3	]	]	PUNCT
cana-3379	43	4	.	.	PUNCT
cana-3379	44	1	communications	communication	NOUN
cana-3379	44	2	on	on	ADP
cana-3379	44	3	applied	apply	VERB
cana-3379	44	4	nonlinear	nonlinear	ADJ
cana-3379	44	5	analysis	analysis	NOUN
cana-3379	44	6	issn	issn	NOUN
cana-3379	44	7	:	:	PUNCT
cana-3379	44	8	1074	1074	NUM
cana-3379	44	9	-	-	PUNCT
cana-3379	44	10	133x	133x	NUM
cana-3379	44	11	vol	vol	NOUN
cana-3379	44	12	32	32	NUM
cana-3379	44	13	no	no	NOUN
cana-3379	44	14	.	.	PUNCT
cana-3379	45	1	7s	7	NOUN
cana-3379	45	2	(	(	PUNCT
cana-3379	45	3	2025	2025	NUM
cana-3379	45	4	)	)	PUNCT
cana-3379	45	5	223	223	NUM
cana-3379	46	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3379	46	2	many	many	ADJ
cana-3379	46	3	researchers	researcher	NOUN
cana-3379	46	4	have	have	AUX
cana-3379	46	5	investigated	investigate	VERB
cana-3379	46	6	feature	feature	NOUN
cana-3379	46	7	selection	selection	NOUN
cana-3379	46	8	in	in	ADP
cana-3379	46	9	the	the	DET
cana-3379	46	10	context	context	NOUN
cana-3379	46	11	of	of	ADP
cana-3379	46	12	improving	improve	VERB
cana-3379	46	13	machine	machine	NOUN
cana-3379	46	14	-	-	PUNCT
cana-3379	46	15	learning	learn	VERB
cana-3379	46	16	methods	method	NOUN
cana-3379	46	17	to	to	PART
cana-3379	46	18	classify	classify	VERB
cana-3379	46	19	emotions	emotion	NOUN
cana-3379	46	20	through	through	ADP
cana-3379	46	21	reducing	reduce	VERB
cana-3379	46	22	the	the	DET
cana-3379	46	23	dimensions	dimension	NOUN
cana-3379	46	24	of	of	ADP
cana-3379	46	25	the	the	DET
cana-3379	46	26	feature	feature	NOUN
cana-3379	46	27	vectors	vector	NOUN
cana-3379	46	28	[	[	X
cana-3379	46	29	1	1	NUM
cana-3379	46	30	-	-	SYM
cana-3379	46	31	10	10	NUM
cana-3379	46	32	]	]	PUNCT
cana-3379	46	33	.	.	PUNCT
cana-3379	47	1	entropy	entropy	PROPN
cana-3379	47	2	weighted	weight	VERB
cana-3379	47	3	genetic	genetic	ADJ
cana-3379	47	4	algorithms	algorithm	NOUN
cana-3379	47	5	(	(	PUNCT
cana-3379	47	6	ewga	ewga	NOUN
cana-3379	47	7	)	)	PUNCT
cana-3379	47	8	have	have	AUX
cana-3379	47	9	been	be	AUX
cana-3379	47	10	developed	develop	VERB
cana-3379	47	11	to	to	PART
cana-3379	47	12	improve	improve	VERB
cana-3379	47	13	sentiment	sentiment	NOUN
cana-3379	47	14	classification	classification	NOUN
cana-3379	47	15	accuracy	accuracy	NOUN
cana-3379	47	16	by	by	ADP
cana-3379	47	17	combining	combine	VERB
cana-3379	47	18	ig	ig	PRON
cana-3379	47	19	and	and	CCONJ
cana-3379	47	20	genetic	genetic	ADJ
cana-3379	47	21	algorithms	algorithm	NOUN
cana-3379	47	22	.	.	PUNCT
cana-3379	48	1	their	their	PRON
cana-3379	48	2	aggregated	aggregate	VERB
cana-3379	48	3	classifier	classifier	NOUN
cana-3379	48	4	was	be	AUX
cana-3379	48	5	constructed	construct	VERB
cana-3379	48	6	based	base	VERB
cana-3379	48	7	on	on	ADP
cana-3379	48	8	multiple	multiple	ADJ
cana-3379	48	9	classifiers	classifier	NOUN
cana-3379	48	10	constructed	construct	VERB
cana-3379	48	11	for	for	ADP
cana-3379	48	12	different	different	ADJ
cana-3379	48	13	feature	feature	NOUN
cana-3379	48	14	vectors	vector	NOUN
cana-3379	48	15	using	use	VERB
cana-3379	48	16	different	different	ADJ
cana-3379	48	17	weightings	weighting	NOUN
cana-3379	48	18	on	on	ADP
cana-3379	48	19	specific	specific	ADJ
cana-3379	48	20	sentiment	sentiment	NOUN
cana-3379	48	21	features	feature	VERB
cana-3379	48	22	[	[	X
cana-3379	48	23	11	11	NUM
cana-3379	48	24	]	]	PUNCT
cana-3379	48	25	.	.	PUNCT
cana-3379	49	1	taking	take	VERB
cana-3379	49	2	into	into	ADP
cana-3379	49	3	account	account	NOUN
cana-3379	49	4	different	different	ADJ
cana-3379	49	5	scoring	scoring	NOUN
cana-3379	49	6	methods	method	NOUN
cana-3379	49	7	,	,	PUNCT
cana-3379	49	8	the	the	DET
cana-3379	49	9	authors	author	NOUN
cana-3379	49	10	examined	examine	VERB
cana-3379	49	11	three	three	NUM
cana-3379	49	12	methods	method	NOUN
cana-3379	49	13	to	to	PART
cana-3379	49	14	select	select	VERB
cana-3379	49	15	features	feature	NOUN
cana-3379	49	16	that	that	PRON
cana-3379	49	17	could	could	AUX
cana-3379	49	18	indicate	indicate	VERB
cana-3379	49	19	sentiment	sentiment	NOUN
cana-3379	49	20	.	.	PUNCT
cana-3379	50	1	one	one	NUM
cana-3379	50	2	of	of	ADP
cana-3379	50	3	them	they	PRON
cana-3379	50	4	used	use	VERB
cana-3379	50	5	categorical	categorical	ADJ
cana-3379	50	6	proportional	proportional	ADJ
cana-3379	50	7	differences	difference	NOUN
cana-3379	50	8	(	(	PUNCT
cana-3379	50	9	cpd	cpd	NOUN
cana-3379	50	10	)	)	PUNCT
cana-3379	50	11	while	while	SCONJ
cana-3379	50	12	another	another	DET
cana-3379	50	13	study	study	NOUN
cana-3379	50	14	used	use	VERB
cana-3379	50	15	sentiment	sentiment	NOUN
cana-3379	50	16	orientation	orientation	NOUN
cana-3379	50	17	(	(	PUNCT
cana-3379	50	18	so	so	ADV
cana-3379	50	19	)	)	PUNCT
cana-3379	50	20	values	value	NOUN
cana-3379	50	21	.	.	PUNCT
cana-3379	51	1	in	in	ADP
cana-3379	51	2	2009	2009	NUM
cana-3379	51	3	,	,	PUNCT
cana-3379	51	4	it	it	PRON
cana-3379	51	5	was	be	AUX
cana-3379	51	6	proposed	propose	VERB
cana-3379	51	7	the	the	DET
cana-3379	51	8	concept	concept	NOUN
cana-3379	51	9	of	of	ADP
cana-3379	51	10	fisher	fisher	PROPN
cana-3379	51	11	's	's	PART
cana-3379	51	12	discriminant	discriminant	ADJ
cana-3379	51	13	ratios	ratio	NOUN
cana-3379	51	14	for	for	ADP
cana-3379	51	15	the	the	DET
cana-3379	51	16	classification	classification	NOUN
cana-3379	51	17	of	of	ADP
cana-3379	51	18	text	text	NOUN
cana-3379	51	19	review	review	NOUN
cana-3379	51	20	sentiment	sentiment	NOUN
cana-3379	51	21	against	against	ADP
cana-3379	51	22	other	other	ADJ
cana-3379	51	23	studies	study	NOUN
cana-3379	51	24	[	[	X
cana-3379	51	25	12	12	NUM
cana-3379	51	26	-	-	SYM
cana-3379	51	27	15	15	NUM
cana-3379	51	28	]	]	PUNCT
cana-3379	51	29	.	.	PUNCT
cana-3379	52	1	2.1	2.1	NUM
cana-3379	52	2	contextual	contextual	ADJ
cana-3379	52	3	valance	valance	NOUN
cana-3379	52	4	shifter	shifter	NOUN
cana-3379	52	5	the	the	DET
cana-3379	52	6	subjectivity	subjectivity	NOUN
cana-3379	52	7	of	of	ADP
cana-3379	52	8	texts	text	NOUN
cana-3379	52	9	is	be	AUX
cana-3379	52	10	usually	usually	ADV
cana-3379	52	11	found	find	VERB
cana-3379	52	12	within	within	ADP
cana-3379	52	13	the	the	DET
cana-3379	52	14	descriptions	description	NOUN
cana-3379	52	15	of	of	ADP
cana-3379	52	16	events	event	NOUN
cana-3379	52	17	as	as	ADV
cana-3379	52	18	well	well	ADV
cana-3379	52	19	as	as	ADP
cana-3379	52	20	the	the	DET
cana-3379	52	21	objective	objective	ADJ
cana-3379	52	22	descriptions	description	NOUN
cana-3379	52	23	;	;	PUNCT
cana-3379	52	24	this	this	PRON
cana-3379	52	25	is	be	AUX
cana-3379	52	26	called	call	VERB
cana-3379	52	27	the	the	DET
cana-3379	52	28	attitude	attitude	NOUN
cana-3379	52	29	of	of	ADP
cana-3379	52	30	the	the	DET
cana-3379	52	31	writer	writer	NOUN
cana-3379	52	32	or	or	CCONJ
cana-3379	52	33	participant	participant	NOUN
cana-3379	52	34	.	.	PUNCT
cana-3379	53	1	the	the	DET
cana-3379	53	2	words	word	NOUN
cana-3379	53	3	are	be	AUX
cana-3379	53	4	chosen	choose	VERB
cana-3379	53	5	and	and	CCONJ
cana-3379	53	6	the	the	DET
cana-3379	53	7	manner	manner	NOUN
cana-3379	53	8	in	in	ADP
cana-3379	53	9	which	which	PRON
cana-3379	53	10	they	they	PRON
cana-3379	53	11	are	be	AUX
cana-3379	53	12	arranged	arrange	VERB
cana-3379	53	13	indicates	indicate	VERB
cana-3379	53	14	an	an	DET
cana-3379	53	15	emotional	emotional	ADJ
cana-3379	53	16	attitude	attitude	NOUN
cana-3379	53	17	[	[	X
cana-3379	53	18	13	13	NUM
cana-3379	53	19	]	]	PUNCT
cana-3379	53	20	.	.	PUNCT
cana-3379	54	1	defective	defective	ADJ
cana-3379	54	2	verbs	verbs	PROPN
cana-3379	54	3	become	become	VERB
cana-3379	54	4	semantically	semantically	ADV
cana-3379	54	5	meaningful	meaningful	ADJ
cana-3379	54	6	when	when	SCONJ
cana-3379	54	7	used	use	VERB
cana-3379	54	8	in	in	ADP
cana-3379	54	9	combination	combination	NOUN
cana-3379	54	10	with	with	ADP
cana-3379	54	11	other	other	ADJ
cana-3379	54	12	verbs	verb	NOUN
cana-3379	54	13	and	and	CCONJ
cana-3379	54	14	modifiers	modifier	NOUN
cana-3379	54	15	that	that	PRON
cana-3379	54	16	have	have	VERB
cana-3379	54	17	semantic	semantic	ADJ
cana-3379	54	18	associations	association	NOUN
cana-3379	54	19	[	[	X
cana-3379	54	20	16	16	NUM
cana-3379	54	21	]	]	PUNCT
cana-3379	54	22	.	.	PUNCT
cana-3379	55	1	the	the	DET
cana-3379	55	2	sentimental	sentimental	ADJ
cana-3379	55	3	value	value	NOUN
cana-3379	55	4	of	of	ADP
cana-3379	55	5	the	the	DET
cana-3379	55	6	sentence	sentence	NOUN
cana-3379	55	7	can	can	AUX
cana-3379	55	8	be	be	AUX
cana-3379	55	9	negated	negate	VERB
cana-3379	55	10	in	in	ADP
cana-3379	55	11	cases	case	NOUN
cana-3379	55	12	where	where	SCONJ
cana-3379	55	13	the	the	DET
cana-3379	55	14	defective	defective	ADJ
cana-3379	55	15	word	word	NOUN
cana-3379	55	16	in	in	ADP
cana-3379	55	17	the	the	DET
cana-3379	55	18	sentence	sentence	NOUN
cana-3379	55	19	is	be	AUX
cana-3379	55	20	accompanied	accompany	VERB
cana-3379	55	21	by	by	ADP
cana-3379	55	22	a	a	DET
cana-3379	55	23	sentimental	sentimental	ADJ
cana-3379	55	24	phrase	phrase	NOUN
cana-3379	55	25	or	or	CCONJ
cana-3379	55	26	word	word	NOUN
cana-3379	55	27	.	.	PUNCT
cana-3379	56	1	the	the	DET
cana-3379	56	2	following	follow	VERB
cana-3379	56	3	statement	statement	NOUN
cana-3379	56	4	would	would	AUX
cana-3379	56	5	apply	apply	VERB
cana-3379	56	6	if	if	SCONJ
cana-3379	56	7	the	the	DET
cana-3379	56	8	person	person	NOUN
cana-3379	56	9	who	who	PRON
cana-3379	56	10	commented	comment	VERB
cana-3379	56	11	did	do	AUX
cana-3379	56	12	not	not	PART
cana-3379	56	13	know	know	VERB
cana-3379	56	14	anything	anything	PRON
cana-3379	56	15	about	about	ADP
cana-3379	56	16	the	the	DET
cana-3379	56	17	car	car	NOUN
cana-3379	56	18	or	or	CCONJ
cana-3379	56	19	its	its	PRON
cana-3379	56	20	characteristics	characteristic	NOUN
cana-3379	56	21	[	[	X
cana-3379	56	22	11	11	NUM
cana-3379	56	23	]	]	PUNCT
cana-3379	56	24	.	.	PUNCT
cana-3379	57	1	a	a	DET
cana-3379	57	2	subject	subject	NOUN
cana-3379	57	3	may	may	AUX
cana-3379	57	4	say	say	VERB
cana-3379	57	5	,	,	PUNCT
cana-3379	57	6	for	for	ADP
cana-3379	57	7	example	example	NOUN
cana-3379	57	8	,	,	PUNCT
cana-3379	57	9	''	''	PUNCT
cana-3379	57	10	i	i	PRON
cana-3379	57	11	see	see	VERB
cana-3379	57	12	it	it	PRON
cana-3379	57	13	differently	differently	ADV
cana-3379	57	14	,	,	PUNCT
cana-3379	57	15	the	the	DET
cana-3379	57	16	car	car	NOUN
cana-3379	57	17	is	be	AUX
cana-3379	57	18	n't	not	PART
cana-3379	57	19	bad	bad	ADJ
cana-3379	57	20	at	at	ADV
cana-3379	57	21	all	all	ADV
cana-3379	57	22	.	.	PUNCT
cana-3379	57	23	''	''	PUNCT
cana-3379	58	1	inconsistency	inconsistency	NOUN
cana-3379	58	2	(	(	PUNCT
cana-3379	58	3	incompatibility	incompatibility	NOUN
cana-3379	58	4	):	):	PUNCT
cana-3379	58	5	sentence	sentence	NOUN
cana-3379	58	6	and	and	CCONJ
cana-3379	58	7	paragraph	paragraph	NOUN
cana-3379	58	8	scores	score	NOUN
cana-3379	58	9	alone	alone	ADV
cana-3379	58	10	can	can	AUX
cana-3379	58	11	not	not	PART
cana-3379	58	12	accurately	accurately	ADV
cana-3379	58	13	describe	describe	VERB
cana-3379	58	14	the	the	DET
cana-3379	58	15	emotional	emotional	ADJ
cana-3379	58	16	nature	nature	NOUN
cana-3379	58	17	of	of	ADP
cana-3379	58	18	a	a	DET
cana-3379	58	19	text	text	NOUN
cana-3379	58	20	when	when	SCONJ
cana-3379	58	21	the	the	DET
cana-3379	58	22	context	context	NOUN
cana-3379	58	23	is	be	AUX
cana-3379	58	24	present	present	ADJ
cana-3379	58	25	in	in	ADP
cana-3379	58	26	the	the	DET
cana-3379	58	27	text	text	NOUN
cana-3379	58	28	,	,	PUNCT
cana-3379	58	29	and	and	CCONJ
cana-3379	58	30	emotional	emotional	ADJ
cana-3379	58	31	weight	weight	NOUN
cana-3379	58	32	is	be	AUX
cana-3379	58	33	largely	largely	ADV
cana-3379	58	34	influenced	influence	VERB
cana-3379	58	35	by	by	ADP
cana-3379	58	36	the	the	DET
cana-3379	58	37	context	context	NOUN
cana-3379	58	38	.	.	PUNCT
cana-3379	59	1	for	for	ADP
cana-3379	59	2	example	example	NOUN
cana-3379	59	3	,	,	PUNCT
cana-3379	59	4	[	[	X
cana-3379	59	5	12	12	NUM
cana-3379	59	6	]	]	PUNCT
cana-3379	59	7	neither	neither	CCONJ
cana-3379	59	8	he	he	PRON
cana-3379	59	9	nor	nor	CCONJ
cana-3379	59	10	his	his	PRON
cana-3379	59	11	math	math	NOUN
cana-3379	59	12	prodigy	prodigy	NOUN
cana-3379	59	13	was	be	AUX
cana-3379	59	14	able	able	ADJ
cana-3379	59	15	to	to	PART
cana-3379	59	16	solve	solve	VERB
cana-3379	59	17	that	that	DET
cana-3379	59	18	problem	problem	NOUN
cana-3379	59	19	.	.	PUNCT
cana-3379	60	1	his	his	PRON
cana-3379	60	2	work	work	NOUN
cana-3379	60	3	is	be	AUX
cana-3379	60	4	horrible	horrible	ADJ
cana-3379	60	5	.	.	PUNCT
cana-3379	61	1	studying	study	VERB
cana-3379	61	2	kept	keep	VERB
cana-3379	61	3	him	he	PRON
cana-3379	61	4	up	up	ADP
cana-3379	61	5	until	until	ADP
cana-3379	61	6	2	2	NUM
cana-3379	61	7	am	am	NOUN
cana-3379	61	8	every	every	DET
cana-3379	61	9	day	day	NOUN
cana-3379	61	10	.	.	PUNCT
cana-3379	62	1	[	[	X
cana-3379	62	2	13	13	NUM
cana-3379	62	3	]	]	SYM
cana-3379	62	4	2.2	2.2	NUM
cana-3379	62	5	attention	attention	NOUN
cana-3379	62	6	mechanism	mechanism	NOUN
cana-3379	62	7	there	there	PRON
cana-3379	62	8	has	have	AUX
cana-3379	62	9	been	be	AUX
cana-3379	62	10	considerable	considerable	ADJ
cana-3379	62	11	interest	interest	NOUN
cana-3379	62	12	in	in	ADP
cana-3379	62	13	deep	deep	ADJ
cana-3379	62	14	learning	learning	NOUN
cana-3379	62	15	methods	method	NOUN
cana-3379	62	16	,	,	PUNCT
cana-3379	62	17	such	such	ADJ
cana-3379	62	18	as	as	ADP
cana-3379	62	19	word2vec	word2vec	X
cana-3379	62	20	[	[	X
cana-3379	62	21	17	17	NUM
cana-3379	62	22	]	]	PUNCT
cana-3379	62	23	,	,	PUNCT
cana-3379	62	24	glove	glove	NOUN
cana-3379	62	25	[	[	X
cana-3379	62	26	18	18	NUM
cana-3379	62	27	]	]	PUNCT
cana-3379	62	28	,	,	PUNCT
cana-3379	62	29	which	which	PRON
cana-3379	62	30	use	use	VERB
cana-3379	62	31	automatic	automatic	ADJ
cana-3379	62	32	feature	feature	NOUN
cana-3379	62	33	representation	representation	NOUN
cana-3379	62	34	learning	learn	VERB
cana-3379	62	35	methods	method	NOUN
cana-3379	62	36	to	to	PART
cana-3379	62	37	learn	learn	VERB
cana-3379	62	38	representations	representation	NOUN
cana-3379	62	39	of	of	ADP
cana-3379	62	40	features	feature	NOUN
cana-3379	62	41	.	.	PUNCT
cana-3379	63	1	attention	attention	NOUN
cana-3379	63	2	enables	enable	VERB
cana-3379	63	3	machine	machine	NOUN
cana-3379	63	4	translation	translation	NOUN
cana-3379	63	5	to	to	PART
cana-3379	63	6	overcome	overcome	VERB
cana-3379	63	7	this	this	DET
cana-3379	63	8	problem	problem	NOUN
cana-3379	63	9	by	by	ADP
cana-3379	63	10	scanning	scan	VERB
cana-3379	63	11	the	the	DET
cana-3379	63	12	source	source	NOUN
cana-3379	63	13	sentence	sentence	NOUN
cana-3379	63	14	and	and	CCONJ
cana-3379	63	15	creating	create	VERB
cana-3379	63	16	an	an	DET
cana-3379	63	17	appropriate	appropriate	ADJ
cana-3379	63	18	word	word	NOUN
cana-3379	63	19	based	base	VERB
cana-3379	63	20	on	on	ADP
cana-3379	63	21	the	the	DET
cana-3379	63	22	most	most	ADV
cana-3379	63	23	recent	recent	ADJ
cana-3379	63	24	work	work	NOUN
cana-3379	63	25	shown	show	VERB
cana-3379	63	26	within	within	ADP
cana-3379	63	27	the	the	DET
cana-3379	63	28	context	context	NOUN
cana-3379	63	29	as	as	ADV
cana-3379	63	30	well	well	ADV
cana-3379	63	31	as	as	ADP
cana-3379	63	32	the	the	DET
cana-3379	63	33	most	most	ADV
cana-3379	63	34	recent	recent	ADJ
cana-3379	63	35	work	work	NOUN
cana-3379	63	36	on	on	ADP
cana-3379	63	37	which	which	PRON
cana-3379	63	38	the	the	DET
cana-3379	63	39	machine	machine	NOUN
cana-3379	63	40	translation	translation	NOUN
cana-3379	63	41	is	be	AUX
cana-3379	63	42	operating	operate	VERB
cana-3379	63	43	[	[	PUNCT
cana-3379	63	44	20	20	NUM
cana-3379	63	45	-	-	SYM
cana-3379	63	46	23	23	NUM
cana-3379	63	47	]	]	PUNCT
cana-3379	63	48	.	.	PUNCT
cana-3379	64	1	one	one	NUM
cana-3379	64	2	of	of	ADP
cana-3379	64	3	the	the	DET
cana-3379	64	4	main	main	ADJ
cana-3379	64	5	research	research	NOUN
cana-3379	64	6	topics	topic	NOUN
cana-3379	64	7	in	in	ADP
cana-3379	64	8	machine	machine	NOUN
cana-3379	64	9	learning	learn	VERB
cana-3379	64	10	in	in	ADP
cana-3379	64	11	recent	recent	ADJ
cana-3379	64	12	years	year	NOUN
cana-3379	64	13	,	,	PUNCT
cana-3379	64	14	deep	deep	ADJ
cana-3379	64	15	learning	learning	NOUN
cana-3379	64	16	,	,	PUNCT
cana-3379	64	17	has	have	AUX
cana-3379	64	18	resulted	result	VERB
cana-3379	64	19	in	in	ADP
cana-3379	64	20	scientific	scientific	ADJ
cana-3379	64	21	advances	advance	NOUN
cana-3379	64	22	that	that	PRON
cana-3379	64	23	have	have	AUX
cana-3379	64	24	revolutionized	revolutionize	VERB
cana-3379	64	25	the	the	DET
cana-3379	64	26	usage	usage	NOUN
cana-3379	64	27	of	of	ADP
cana-3379	64	28	artificial	artificial	ADJ
cana-3379	64	29	intelligence	intelligence	NOUN
cana-3379	64	30	in	in	ADP
cana-3379	64	31	people	people	NOUN
cana-3379	64	32	's	's	PART
cana-3379	64	33	daily	daily	ADJ
cana-3379	64	34	lives	life	NOUN
cana-3379	64	35	and	and	CCONJ
cana-3379	64	36	totally	totally	ADV
cana-3379	64	37	reshaped	reshape	VERB
cana-3379	64	38	technology	technology	NOUN
cana-3379	64	39	[	[	X
cana-3379	64	40	25	25	NUM
cana-3379	64	41	]	]	PUNCT
cana-3379	64	42	.	.	PUNCT
cana-3379	65	1	by	by	ADP
cana-3379	65	2	employing	employ	VERB
cana-3379	65	3	deep	deep	ADJ
cana-3379	65	4	learning	learning	NOUN
cana-3379	65	5	techniques	technique	NOUN
cana-3379	65	6	in	in	ADP
cana-3379	65	7	fields	field	NOUN
cana-3379	65	8	such	such	ADJ
cana-3379	65	9	as	as	ADP
cana-3379	65	10	speech	speech	NOUN
cana-3379	65	11	recognition	recognition	NOUN
cana-3379	65	12	and	and	CCONJ
cana-3379	65	13	medical	medical	ADJ
cana-3379	65	14	imaging	imaging	NOUN
cana-3379	65	15	,	,	PUNCT
cana-3379	65	16	artificial	artificial	ADJ
cana-3379	65	17	intelligence	intelligence	NOUN
cana-3379	65	18	systems	system	NOUN
cana-3379	65	19	have	have	AUX
cana-3379	65	20	been	be	AUX
cana-3379	65	21	able	able	ADJ
cana-3379	65	22	to	to	PART
cana-3379	65	23	overcome	overcome	VERB
cana-3379	65	24	many	many	ADJ
cana-3379	65	25	limitations	limitation	NOUN
cana-3379	65	26	of	of	ADP
cana-3379	65	27	the	the	DET
cana-3379	65	28	past	past	NOUN
cana-3379	65	29	[	[	X
cana-3379	65	30	26	26	NUM
cana-3379	65	31	]	]	PUNCT
cana-3379	65	32	.	.	PUNCT
cana-3379	66	1	with	with	ADP
cana-3379	66	2	the	the	DET
cana-3379	66	3	help	help	NOUN
cana-3379	66	4	of	of	ADP
cana-3379	66	5	lstm	lstm	NOUN
cana-3379	66	6	models	model	NOUN
cana-3379	66	7	as	as	ADV
cana-3379	66	8	well	well	ADV
cana-3379	66	9	as	as	ADP
cana-3379	66	10	featured	feature	VERB
cana-3379	66	11	representations	representation	NOUN
cana-3379	66	12	and	and	CCONJ
cana-3379	66	13	word	word	NOUN
cana-3379	66	14	embedding	embed	VERB
cana-3379	66	15	’s	’s	ADV
cana-3379	66	16	,	,	PUNCT
cana-3379	66	17	a	a	DET
cana-3379	66	18	hierarchical	hierarchical	ADJ
cana-3379	66	19	attention	attention	NOUN
cana-3379	66	20	mechanism	mechanism	NOUN
cana-3379	66	21	was	be	AUX
cana-3379	66	22	used	use	VERB
cana-3379	66	23	for	for	ADP
cana-3379	66	24	analyzing	analyze	VERB
cana-3379	66	25	the	the	DET
cana-3379	66	26	feature	feature	NOUN
cana-3379	66	27	set	set	NOUN
cana-3379	66	28	.	.	PUNCT
cana-3379	67	1	in	in	ADP
cana-3379	67	2	comparison	comparison	NOUN
cana-3379	67	3	to	to	ADP
cana-3379	67	4	other	other	ADJ
cana-3379	67	5	models	model	NOUN
cana-3379	67	6	that	that	PRON
cana-3379	67	7	can	can	AUX
cana-3379	67	8	achieve	achieve	VERB
cana-3379	67	9	a	a	DET
cana-3379	67	10	higher	high	ADJ
cana-3379	67	11	score	score	NOUN
cana-3379	67	12	,	,	PUNCT
cana-3379	67	13	the	the	DET
cana-3379	67	14	approach	approach	NOUN
cana-3379	67	15	proposed	propose	VERB
cana-3379	67	16	here	here	ADV
cana-3379	67	17	can	can	AUX
cana-3379	67	18	achieve	achieve	VERB
cana-3379	67	19	a	a	DET
cana-3379	67	20	higher	high	ADJ
cana-3379	67	21	score	score	NOUN
cana-3379	67	22	[	[	X
cana-3379	67	23	27	27	NUM
cana-3379	67	24	]	]	PUNCT
cana-3379	67	25	.	.	PUNCT
cana-3379	68	1	communications	communication	NOUN
cana-3379	68	2	on	on	ADP
cana-3379	68	3	applied	apply	VERB
cana-3379	68	4	nonlinear	nonlinear	ADJ
cana-3379	68	5	analysis	analysis	NOUN
cana-3379	68	6	issn	issn	NOUN
cana-3379	68	7	:	:	PUNCT
cana-3379	68	8	1074	1074	NUM
cana-3379	68	9	-	-	PUNCT
cana-3379	68	10	133x	133x	NUM
cana-3379	68	11	vol	vol	NOUN
cana-3379	68	12	32	32	NUM
cana-3379	68	13	no	no	NOUN
cana-3379	68	14	.	.	PUNCT
cana-3379	69	1	7s	7	NOUN
cana-3379	69	2	(	(	PUNCT
cana-3379	69	3	2025	2025	NUM
cana-3379	69	4	)	)	PUNCT
cana-3379	69	5	224	224	NUM
cana-3379	69	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3379	69	7	2.3	2.3	NUM
cana-3379	69	8	hybrid	hybrid	ADJ
cana-3379	69	9	approach	approach	NOUN
cana-3379	69	10	despite	despite	SCONJ
cana-3379	69	11	recent	recent	ADJ
cana-3379	69	12	studies	study	NOUN
cana-3379	69	13	showing	show	VERB
cana-3379	69	14	that	that	SCONJ
cana-3379	69	15	semantic	semantic	ADJ
cana-3379	69	16	analysis	analysis	NOUN
cana-3379	69	17	and	and	CCONJ
cana-3379	69	18	machine	machine	NOUN
cana-3379	69	19	learning	learning	NOUN
cana-3379	69	20	approaches	approach	NOUN
cana-3379	69	21	are	be	AUX
cana-3379	69	22	capable	capable	ADJ
cana-3379	69	23	of	of	ADP
cana-3379	69	24	working	work	VERB
cana-3379	69	25	,	,	PUNCT
cana-3379	69	26	both	both	PRON
cana-3379	69	27	have	have	VERB
cana-3379	69	28	advantages	advantage	NOUN
cana-3379	69	29	and	and	CCONJ
cana-3379	69	30	limitations	limitation	NOUN
cana-3379	69	31	in	in	ADP
cana-3379	69	32	different	different	ADJ
cana-3379	69	33	fields	field	NOUN
cana-3379	69	34	.	.	PUNCT
cana-3379	70	1	based	base	VERB
cana-3379	70	2	on	on	ADP
cana-3379	70	3	the	the	DET
cana-3379	70	4	use	use	NOUN
cana-3379	70	5	of	of	ADP
cana-3379	70	6	a	a	DET
cana-3379	70	7	mutual	mutual	ADJ
cana-3379	70	8	information	information	NOUN
cana-3379	70	9	dictionary	dictionary	NOUN
cana-3379	70	10	,	,	PUNCT
cana-3379	70	11	an	an	DET
cana-3379	70	12	algorithm	algorithm	NOUN
cana-3379	70	13	was	be	AUX
cana-3379	70	14	developed	develop	VERB
cana-3379	70	15	that	that	SCONJ
cana-3379	70	16	detects	detect	NOUN
cana-3379	70	17	sentiment	sentiment	NOUN
cana-3379	70	18	polarization	polarization	NOUN
cana-3379	70	19	based	base	VERB
cana-3379	70	20	on	on	ADP
cana-3379	70	21	the	the	DET
cana-3379	70	22	mutual	mutual	ADJ
cana-3379	70	23	information	information	NOUN
cana-3379	70	24	.	.	PUNCT
cana-3379	71	1	researchers	researcher	NOUN
cana-3379	71	2	studied	study	VERB
cana-3379	71	3	documents	document	NOUN
cana-3379	71	4	that	that	PRON
cana-3379	71	5	were	be	AUX
cana-3379	71	6	not	not	PART
cana-3379	71	7	using	use	VERB
cana-3379	71	8	sentiwordnet	sentiwordnet	NOUN
cana-3379	71	9	[	[	X
cana-3379	71	10	28	28	NUM
cana-3379	71	11	]	]	PUNCT
cana-3379	71	12	,	,	PUNCT
cana-3379	71	13	accuracyon	accuracyon	ADJ
cana-3379	71	14	average	average	ADJ
cana-3379	71	15	than	than	ADP
cana-3379	71	16	sentiwordnet	sentiwordnet	NOUN
cana-3379	71	17	.	.	PUNCT
cana-3379	72	1	a	a	DET
cana-3379	72	2	bonding	bonding	NOUN
cana-3379	72	3	model	model	NOUN
cana-3379	72	4	that	that	PRON
cana-3379	72	5	integrates	integrate	VERB
cana-3379	72	6	models	model	NOUN
cana-3379	72	7	of	of	ADP
cana-3379	72	8	varying	vary	VERB
cana-3379	72	9	capabilities	capability	NOUN
cana-3379	72	10	can	can	AUX
cana-3379	72	11	be	be	AUX
cana-3379	72	12	stronger	strong	ADJ
cana-3379	72	13	than	than	ADP
cana-3379	72	14	one	one	NUM
cana-3379	72	15	built	build	VERB
cana-3379	72	16	using	use	VERB
cana-3379	72	17	only	only	ADV
cana-3379	72	18	one	one	NUM
cana-3379	72	19	model	model	NOUN
cana-3379	72	20	.	.	PUNCT
cana-3379	73	1	similarly	similarly	ADV
cana-3379	73	2	,	,	PUNCT
cana-3379	73	3	the	the	DET
cana-3379	73	4	idea	idea	NOUN
cana-3379	73	5	of	of	ADP
cana-3379	73	6	an	an	DET
cana-3379	73	7	assemblage	assemblage	NOUN
cana-3379	73	8	of	of	ADP
cana-3379	73	9	people	people	NOUN
cana-3379	73	10	also	also	ADV
cana-3379	73	11	follows	follow	VERB
cana-3379	73	12	condorcet	condorcet	PROPN
cana-3379	73	13	's	's	PART
cana-3379	73	14	theory	theory	NOUN
cana-3379	73	15	of	of	ADP
cana-3379	73	16	voting	voting	NOUN
cana-3379	73	17	in	in	ADP
cana-3379	73	18	which	which	PRON
cana-3379	73	19	the	the	DET
cana-3379	73	20	voting	voting	NOUN
cana-3379	73	21	probability	probability	NOUN
cana-3379	73	22	for	for	ADP
cana-3379	73	23	each	each	DET
cana-3379	73	24	individual	individual	NOUN
cana-3379	73	25	is	be	AUX
cana-3379	73	26	p	p	PROPN
cana-3379	73	27	>	>	PROPN
cana-3379	73	28	1/2	1/2	NUM
cana-3379	73	29	(	(	PUNCT
cana-3379	73	30	i.e.	i.e.	X
cana-3379	73	31	,	,	PUNCT
cana-3379	73	32	every	every	DET
cana-3379	73	33	individual	individual	ADJ
cana-3379	73	34	vote	vote	NOUN
cana-3379	73	35	according	accord	VERB
cana-3379	73	36	to	to	ADP
cana-3379	73	37	their	their	PRON
cana-3379	73	38	preferences	preference	NOUN
cana-3379	73	39	)	)	PUNCT
cana-3379	73	40	,	,	PUNCT
cana-3379	73	41	so	so	ADV
cana-3379	73	42	more	more	ADJ
cana-3379	73	43	voters	voter	NOUN
cana-3379	73	44	increase	increase	VERB
cana-3379	73	45	majority	majority	NOUN
cana-3379	73	46	accuracy	accuracy	NOUN
cana-3379	73	47	[	[	X
cana-3379	73	48	33	33	NUM
cana-3379	73	49	]	]	PUNCT
cana-3379	73	50	.	.	PUNCT
cana-3379	74	1	when	when	SCONJ
cana-3379	74	2	there	there	PRON
cana-3379	74	3	are	be	VERB
cana-3379	74	4	more	more	ADJ
cana-3379	74	5	voters	voter	NOUN
cana-3379	74	6	,	,	PUNCT
cana-3379	74	7	the	the	DET
cana-3379	74	8	probability	probability	NOUN
cana-3379	74	9	of	of	ADP
cana-3379	74	10	securing	secure	VERB
cana-3379	74	11	a	a	DET
cana-3379	74	12	majority	majority	NOUN
cana-3379	74	13	rises	rise	NOUN
cana-3379	74	14	.	.	PUNCT
cana-3379	75	1	combining	combine	VERB
cana-3379	75	2	prediction	prediction	NOUN
cana-3379	75	3	models	model	NOUN
cana-3379	75	4	can	can	AUX
cana-3379	75	5	be	be	AUX
cana-3379	75	6	achieved	achieve	VERB
cana-3379	75	7	in	in	ADP
cana-3379	75	8	three	three	NUM
cana-3379	75	9	ways	way	NOUN
cana-3379	75	10	like	like	ADP
cana-3379	75	11	bagging	bagging	NOUN
cana-3379	75	12	,	,	PUNCT
cana-3379	75	13	boosting	boost	VERB
cana-3379	75	14	and	and	CCONJ
cana-3379	75	15	stacking	stacking	NOUN
cana-3379	75	16	.	.	PUNCT
cana-3379	76	1	fig	fig	NOUN
cana-3379	76	2	.	.	PUNCT
cana-3379	77	1	2	2	NUM
cana-3379	77	2	demonstrates	demonstrate	VERB
cana-3379	77	3	how	how	SCONJ
cana-3379	77	4	we	we	PRON
cana-3379	77	5	construct	construct	VERB
cana-3379	77	6	our	our	PRON
cana-3379	77	7	classification	classification	NOUN
cana-3379	77	8	model	model	NOUN
cana-3379	77	9	by	by	ADP
cana-3379	77	10	employing	employ	VERB
cana-3379	77	11	a	a	DET
cana-3379	77	12	stacking	stacking	NOUN
cana-3379	77	13	strategy	strategy	NOUN
cana-3379	77	14	.	.	PUNCT
cana-3379	78	1	ensembles	ensemble	NOUN
cana-3379	78	2	made	make	VERB
cana-3379	78	3	up	up	ADP
cana-3379	78	4	of	of	ADP
cana-3379	78	5	more	more	ADJ
cana-3379	78	6	than	than	ADP
cana-3379	78	7	one	one	NUM
cana-3379	78	8	learner	learner	NOUN
cana-3379	78	9	can	can	AUX
cana-3379	78	10	be	be	AUX
cana-3379	78	11	more	more	ADV
cana-3379	78	12	effective	effective	ADJ
cana-3379	78	13	than	than	ADP
cana-3379	78	14	individual	individual	ADJ
cana-3379	78	15	learners	learner	NOUN
cana-3379	78	16	.	.	PUNCT
cana-3379	79	1	for	for	ADP
cana-3379	79	2	example	example	NOUN
cana-3379	79	3	,	,	PUNCT
cana-3379	79	4	bioinformatics	bioinformatics	NOUN
cana-3379	79	5	is	be	AUX
cana-3379	79	6	one	one	NUM
cana-3379	79	7	sector	sector	NOUN
cana-3379	79	8	where	where	SCONJ
cana-3379	79	9	assembly	assembly	NOUN
cana-3379	79	10	learning	learning	NOUN
cana-3379	79	11	can	can	AUX
cana-3379	79	12	be	be	AUX
cana-3379	79	13	seen	see	VERB
cana-3379	79	14	in	in	ADP
cana-3379	79	15	table	table	NOUN
cana-3379	79	16	3	3	NUM
cana-3379	79	17	.	.	PUNCT
cana-3379	80	1	for	for	ADP
cana-3379	80	2	many	many	ADJ
cana-3379	80	3	classification	classification	NOUN
cana-3379	80	4	issues	issue	NOUN
cana-3379	80	5	,	,	PUNCT
cana-3379	80	6	ensemble	ensemble	ADJ
cana-3379	80	7	learning	learning	NOUN
cana-3379	80	8	has	have	AUX
cana-3379	80	9	been	be	AUX
cana-3379	80	10	shown	show	VERB
cana-3379	80	11	to	to	PART
cana-3379	80	12	work	work	VERB
cana-3379	80	13	well	well	ADV
cana-3379	80	14	.	.	PUNCT
cana-3379	81	1	figure	figure	VERB
cana-3379	81	2	2	2	NUM
cana-3379	81	3	:	:	PUNCT
cana-3379	81	4	stacking	stack	VERB
cana-3379	81	5	process	process	NOUN
cana-3379	81	6	used	use	VERB
cana-3379	81	7	in	in	ADP
cana-3379	81	8	ensemble	ensemble	ADJ
cana-3379	81	9	learning	learning	NOUN
cana-3379	81	10	3	3	NUM
cana-3379	81	11	.	.	PUNCT
cana-3379	81	12	proposed	propose	VERB
cana-3379	81	13	methodology	methodology	NOUN
cana-3379	81	14	3.1	3.1	NUM
cana-3379	81	15	dataset	dataset	VERB
cana-3379	81	16	the	the	DET
cana-3379	81	17	proposed	propose	VERB
cana-3379	81	18	feature	feature	NOUN
cana-3379	81	19	selection	selection	NOUN
cana-3379	81	20	approaches	approach	NOUN
cana-3379	81	21	are	be	AUX
cana-3379	81	22	evaluated	evaluate	VERB
cana-3379	81	23	using	use	VERB
cana-3379	81	24	a	a	DET
cana-3379	81	25	publicly	publicly	ADV
cana-3379	81	26	available	available	ADJ
cana-3379	81	27	dataset	dataset	NOUN
cana-3379	81	28	of	of	ADP
cana-3379	81	29	movie	movie	NOUN
cana-3379	81	30	review	review	NOUN
cana-3379	81	31	https://catalog.data.gov/dataset/nist-campus-photovoltaic-pv-arrays-and-weather-station-datasets	https://catalog.data.gov/dataset/nist-campus-photovoltaic-pv-arrays-and-weather-station-dataset	NOUN
cana-3379	81	32	.	.	PUNCT
cana-3379	82	1	each	each	PRON
cana-3379	82	2	of	of	ADP
cana-3379	82	3	the	the	DET
cana-3379	82	4	2000	2000	NUM
cana-3379	82	5	reviews	review	NOUN
cana-3379	82	6	has	have	AUX
cana-3379	82	7	been	be	AUX
cana-3379	82	8	tagged	tag	VERB
cana-3379	82	9	with	with	ADP
cana-3379	82	10	one	one	NUM
cana-3379	82	11	positive	positive	ADJ
cana-3379	82	12	and	and	CCONJ
cana-3379	82	13	one	one	NUM
cana-3379	82	14	negative	negative	ADJ
cana-3379	82	15	.	.	PUNCT
cana-3379	83	1	there	there	PRON
cana-3379	83	2	were	be	VERB
cana-3379	83	3	1000	1000	NUM
cana-3379	83	4	positive	positive	ADJ
cana-3379	83	5	reviews	review	NOUN
cana-3379	83	6	and	and	CCONJ
cana-3379	83	7	1000	1000	NUM
cana-3379	83	8	negative	negative	ADJ
cana-3379	83	9	reviews	review	NOUN
cana-3379	83	10	among	among	ADP
cana-3379	83	11	the	the	DET
cana-3379	83	12	1000	1000	NUM
cana-3379	83	13	books	book	NOUN
cana-3379	83	14	that	that	PRON
cana-3379	83	15	were	be	AUX
cana-3379	83	16	reviewed	review	VERB
cana-3379	83	17	.	.	PUNCT
cana-3379	84	1	to	to	PART
cana-3379	84	2	prepare	prepare	VERB
cana-3379	84	3	documents	document	NOUN
cana-3379	84	4	for	for	ADP
cana-3379	84	5	pre	pre	ADJ
cana-3379	84	6	-	-	NOUN
cana-3379	84	7	sale	sale	NOUN
cana-3379	84	8	,	,	PUNCT
cana-3379	84	9	it	it	PRON
cana-3379	84	10	is	be	AUX
cana-3379	84	11	necessary	necessary	ADJ
cana-3379	84	12	to	to	PART
cana-3379	84	13	follow	follow	VERB
cana-3379	84	14	the	the	DET
cana-3379	84	15	steps	step	NOUN
cana-3379	84	16	outlined	outline	VERB
cana-3379	84	17	below	below	ADV
cana-3379	84	18	:	:	PUNCT
cana-3379	84	19	(	(	PUNCT
cana-3379	84	20	i	i	NOUN
cana-3379	84	21	)	)	PUNCT
cana-3379	84	22	a	a	DET
cana-3379	84	23	negation	negation	NOUN
cana-3379	84	24	word	word	NOUN
cana-3379	84	25	's	's	PART
cana-3379	84	26	inverted	inverted	ADJ
cana-3379	84	27	meaning	meaning	NOUN
cana-3379	84	28	is	be	AUX
cana-3379	84	29	caused	cause	VERB
cana-3379	84	30	by	by	ADP
cana-3379	84	31	the	the	DET
cana-3379	84	32	addition	addition	NOUN
cana-3379	84	33	of	of	ADP
cana-3379	84	34	"	"	PUNCT
cana-3379	84	35	not	not	PART
cana-3379	84	36	_	_	PRON
cana-3379	84	37	"	"	PUNCT
cana-3379	84	38	to	to	ADP
cana-3379	84	39	words	word	NOUN
cana-3379	84	40	following	follow	VERB
cana-3379	84	41	it	it	PRON
cana-3379	84	42	(	(	PUNCT
cana-3379	84	43	no	no	INTJ
cana-3379	84	44	,	,	PUNCT
cana-3379	84	45	not	not	PART
cana-3379	84	46	,	,	PUNCT
cana-3379	84	47	is	be	AUX
cana-3379	84	48	n't	not	PART
cana-3379	84	49	,	,	PUNCT
cana-3379	84	50	ca	can	AUX
cana-3379	84	51	n't	not	PART
cana-3379	84	52	)	)	PUNCT
cana-3379	84	53	.	.	PUNCT
cana-3379	85	1	communications	communication	NOUN
cana-3379	85	2	on	on	ADP
cana-3379	85	3	applied	apply	VERB
cana-3379	85	4	nonlinear	nonlinear	ADJ
cana-3379	85	5	analysis	analysis	NOUN
cana-3379	85	6	issn	issn	NOUN
cana-3379	85	7	:	:	PUNCT
cana-3379	85	8	1074	1074	NUM
cana-3379	85	9	-	-	PUNCT
cana-3379	85	10	133x	133x	NUM
cana-3379	85	11	vol	vol	NOUN
cana-3379	85	12	32	32	NUM
cana-3379	85	13	no	no	NOUN
cana-3379	85	14	.	.	PUNCT
cana-3379	86	1	7s	7	NOUN
cana-3379	86	2	(	(	PUNCT
cana-3379	86	3	2025	2025	NUM
cana-3379	86	4	)	)	PUNCT
cana-3379	86	5	225	225	NUM
cana-3379	86	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3379	86	7	(	(	PUNCT
cana-3379	86	8	ii	ii	NOUN
cana-3379	86	9	)	)	PUNCT
cana-3379	86	10	the	the	DET
cana-3379	86	11	list	list	NOUN
cana-3379	86	12	of	of	ADP
cana-3379	86	13	features	feature	NOUN
cana-3379	86	14	is	be	AUX
cana-3379	86	15	trimmed	trim	VERB
cana-3379	86	16	when	when	SCONJ
cana-3379	86	17	there	there	PRON
cana-3379	86	18	are	be	VERB
cana-3379	86	19	few	few	ADJ
cana-3379	86	20	documents	document	NOUN
cana-3379	86	21	containing	contain	VERB
cana-3379	86	22	the	the	DET
cana-3379	86	23	term	term	NOUN
cana-3379	86	24	in	in	ADP
cana-3379	86	25	question	question	NOUN
cana-3379	86	26	.	.	PUNCT
cana-3379	87	1	the	the	DET
cana-3379	87	2	feature	feature	NOUN
cana-3379	87	3	vector	vector	NOUN
cana-3379	87	4	that	that	PRON
cana-3379	87	5	is	be	AUX
cana-3379	87	6	generated	generate	VERB
cana-3379	87	7	following	follow	VERB
cana-3379	87	8	preprocessing	preprocessing	NOUN
cana-3379	87	9	is	be	AUX
cana-3379	87	10	then	then	ADV
cana-3379	87	11	used	use	VERB
cana-3379	87	12	as	as	ADP
cana-3379	87	13	the	the	DET
cana-3379	87	14	basis	basis	NOUN
cana-3379	87	15	for	for	ADP
cana-3379	87	16	classifying	classify	VERB
cana-3379	87	17	the	the	DET
cana-3379	87	18	data	datum	NOUN
cana-3379	87	19	.	.	PUNCT
cana-3379	88	1	all	all	DET
cana-3379	88	2	experiments	experiment	NOUN
cana-3379	88	3	using	use	VERB
cana-3379	88	4	the	the	DET
cana-3379	88	5	weka	weka	PROPN
cana-3379	88	6	tool	tool	PROPN
cana-3379	88	7	(	(	PUNCT
cana-3379	88	8	weka	weka	PROPN
cana-3379	88	9	)	)	PUNCT
cana-3379	88	10	are	be	AUX
cana-3379	88	11	configured	configure	VERB
cana-3379	88	12	by	by	ADP
cana-3379	88	13	default	default	NOUN
cana-3379	88	14	to	to	PART
cana-3379	88	15	use	use	VERB
cana-3379	88	16	linear	linear	ADJ
cana-3379	88	17	svm	svm	NOUN
cana-3379	88	18	and	and	CCONJ
cana-3379	88	19	naive	naive	ADJ
cana-3379	88	20	bayes	bayes	NOUN
cana-3379	88	21	as	as	ADP
cana-3379	88	22	the	the	DET
cana-3379	88	23	machine	machine	NOUN
cana-3379	88	24	learning	learn	VERB
cana-3379	88	25	algorithms	algorithm	NOUN
cana-3379	88	26	.	.	PUNCT
cana-3379	89	1	for	for	ADP
cana-3379	89	2	many	many	ADJ
cana-3379	89	3	classification	classification	NOUN
cana-3379	89	4	issues	issue	NOUN
cana-3379	89	5	,	,	PUNCT
cana-3379	89	6	ensemble	ensemble	ADJ
cana-3379	89	7	learning	learning	NOUN
cana-3379	89	8	has	have	AUX
cana-3379	89	9	been	be	AUX
cana-3379	89	10	shown	show	VERB
cana-3379	89	11	to	to	PART
cana-3379	89	12	work	work	VERB
cana-3379	89	13	well	well	ADV
cana-3379	89	14	.	.	PUNCT
cana-3379	90	1	also	also	ADV
cana-3379	90	2	the	the	DET
cana-3379	90	3	three	three	NUM
cana-3379	90	4	datasets	dataset	NOUN
cana-3379	90	5	with	with	ADP
cana-3379	90	6	positive	positive	ADJ
cana-3379	90	7	and	and	CCONJ
cana-3379	90	8	negative	negative	ADJ
cana-3379	90	9	reviews	review	NOUN
cana-3379	90	10	are	be	AUX
cana-3379	90	11	shown	show	VERB
cana-3379	90	12	in	in	ADP
cana-3379	90	13	table	table	NOUN
cana-3379	90	14	1	1	NUM
cana-3379	90	15	.	.	PUNCT
cana-3379	90	16	table	table	NOUN
cana-3379	91	1	1.the	1.the	PRON
cana-3379	91	2	three	three	NUM
cana-3379	91	3	datasets	dataset	NOUN
cana-3379	91	4	are	be	AUX
cana-3379	91	5	described	describe	VERB
cana-3379	91	6	in	in	ADP
cana-3379	91	7	detail	detail	NOUN
cana-3379	91	8	corpus	corpus	NOUN
cana-3379	91	9	training	training	NOUN
cana-3379	91	10	data	datum	NOUN
cana-3379	91	11	testing	testing	NOUN
cana-3379	91	12	data	datum	NOUN
cana-3379	91	13	positive	positive	ADJ
cana-3379	91	14	reviews	review	NOUN
cana-3379	91	15	negative	negative	ADJ
cana-3379	91	16	reviews	review	NOUN
cana-3379	91	17	positive	positive	ADJ
cana-3379	91	18	reviews	review	NOUN
cana-3379	91	19	negative	negative	ADJ
cana-3379	91	20	reviews	review	NOUN
cana-3379	91	21	hotelreviews	hotelreview	NOUN
cana-3379	92	1	928	928	NUM
cana-3379	92	2	928	928	NUM
cana-3379	92	3	928	928	NUM
cana-3379	92	4	928	928	NUM
cana-3379	92	5	uit	uit	NOUN
cana-3379	92	6	-	-	PUNCT
cana-3379	92	7	vsfc	vsfc	NOUN
cana-3379	92	8	2632	2632	NUM
cana-3379	92	9	2632	2632	NUM
cana-3379	92	10	2632	2632	NUM
cana-3379	92	11	2632	2632	NUM
cana-3379	92	12	foodyreviews	foodyreview	NOUN
cana-3379	92	13	11,000	11,000	NUM
cana-3379	92	14	11,000	11,000	NUM
cana-3379	92	15	11,000	11,000	NUM
cana-3379	92	16	11,000	11,000	NUM
cana-3379	92	17	the	the	DET
cana-3379	92	18	models	model	NOUN
cana-3379	92	19	are	be	AUX
cana-3379	92	20	trained	train	VERB
cana-3379	92	21	by	by	ADP
cana-3379	92	22	using	use	VERB
cana-3379	92	23	a	a	DET
cana-3379	92	24	variety	variety	NOUN
cana-3379	92	25	of	of	ADP
cana-3379	92	26	base	base	NOUN
cana-3379	92	27	-	-	PUNCT
cana-3379	92	28	learners	learner	NOUN
cana-3379	92	29	using	use	VERB
cana-3379	92	30	a	a	DET
cana-3379	92	31	method	method	NOUN
cana-3379	92	32	known	know	VERB
cana-3379	92	33	as	as	ADP
cana-3379	92	34	ensemble	ensemble	ADJ
cana-3379	92	35	learning	learning	NOUN
cana-3379	92	36	.	.	PUNCT
cana-3379	93	1	to	to	PART
cana-3379	93	2	classify	classify	VERB
cana-3379	93	3	each	each	DET
cana-3379	93	4	piece	piece	NOUN
cana-3379	93	5	of	of	ADP
cana-3379	93	6	text	text	NOUN
cana-3379	93	7	,	,	PUNCT
cana-3379	93	8	we	we	PRON
cana-3379	93	9	extract	extract	VERB
cana-3379	93	10	individual	individual	ADJ
cana-3379	93	11	features	feature	NOUN
cana-3379	93	12	,	,	PUNCT
cana-3379	93	13	such	such	ADJ
cana-3379	93	14	as	as	ADP
cana-3379	93	15	negative	negative	ADJ
cana-3379	93	16	and	and	CCONJ
cana-3379	93	17	positive	positive	ADJ
cana-3379	93	18	contrasts	contrast	NOUN
cana-3379	93	19	,	,	PUNCT
cana-3379	93	20	inconsistencies	inconsistency	NOUN
cana-3379	93	21	,	,	PUNCT
cana-3379	93	22	and	and	CCONJ
cana-3379	93	23	shifts	shift	NOUN
cana-3379	93	24	,	,	PUNCT
cana-3379	93	25	by	by	ADP
cana-3379	93	26	extracting	extract	VERB
cana-3379	93	27	and	and	CCONJ
cana-3379	93	28	synthesizing	synthesize	VERB
cana-3379	93	29	attributes	attribute	NOUN
cana-3379	93	30	[	[	X
cana-3379	93	31	26	26	NUM
cana-3379	93	32	]	]	PUNCT
cana-3379	93	33	.	.	PUNCT
cana-3379	94	1	there	there	PRON
cana-3379	94	2	are	be	VERB
cana-3379	94	3	a	a	DET
cana-3379	94	4	number	number	NOUN
cana-3379	94	5	of	of	ADP
cana-3379	94	6	ways	way	NOUN
cana-3379	94	7	to	to	PART
cana-3379	94	8	represent	represent	VERB
cana-3379	94	9	text	text	NOUN
cana-3379	94	10	in	in	ADP
cana-3379	94	11	the	the	DET
cana-3379	94	12	tf	tf	PROPN
cana-3379	94	13	-	-	PUNCT
cana-3379	94	14	idf	idf	PROPN
cana-3379	94	15	,	,	PUNCT
cana-3379	94	16	and	and	CCONJ
cana-3379	94	17	subsequently	subsequently	ADV
cana-3379	94	18	,	,	PUNCT
cana-3379	94	19	meta	meta	ADJ
cana-3379	94	20	-	-	PUNCT
cana-3379	94	21	learners	learner	NOUN
cana-3379	94	22	use	use	NOUN
cana-3379	94	23	data	datum	NOUN
cana-3379	94	24	gathered	gather	VERB
cana-3379	94	25	from	from	ADP
cana-3379	94	26	the	the	DET
cana-3379	94	27	baselearners	baselearner	NOUN
cana-3379	94	28	to	to	PART
cana-3379	94	29	make	make	VERB
cana-3379	94	30	predictions	prediction	NOUN
cana-3379	94	31	about	about	ADP
cana-3379	94	32	whether	whether	SCONJ
cana-3379	94	33	a	a	DET
cana-3379	94	34	given	give	VERB
cana-3379	94	35	outcome	outcome	NOUN
cana-3379	94	36	would	would	AUX
cana-3379	94	37	be	be	AUX
cana-3379	94	38	favorable	favorable	ADJ
cana-3379	94	39	or	or	CCONJ
cana-3379	94	40	negative	negative	ADJ
cana-3379	94	41	.	.	PUNCT
cana-3379	95	1	ensemble	ensemble	ADJ
cana-3379	95	2	learning	learning	NOUN
cana-3379	95	3	takes	take	VERB
cana-3379	95	4	place	place	NOUN
cana-3379	95	5	over	over	ADP
cana-3379	95	6	several	several	ADJ
cana-3379	95	7	stages	stage	NOUN
cana-3379	95	8	,	,	PUNCT
cana-3379	95	9	as	as	SCONJ
cana-3379	95	10	illustrated	illustrate	VERB
cana-3379	95	11	in	in	ADP
cana-3379	95	12	figure	figure	NOUN
cana-3379	95	13	3	3	NUM
cana-3379	95	14	.	.	PUNCT
cana-3379	95	15	figure	figure	VERB
cana-3379	95	16	3	3	NUM
cana-3379	95	17	:	:	PUNCT
cana-3379	95	18	the	the	DET
cana-3379	95	19	architecture	architecture	NOUN
cana-3379	95	20	of	of	ADP
cana-3379	95	21	the	the	DET
cana-3379	95	22	proposed	propose	VERB
cana-3379	95	23	methodology	methodology	NOUN
cana-3379	95	24	3.2	3.2	NUM
cana-3379	95	25	probability	probability	NOUN
cana-3379	95	26	proportion	proportion	NOUN
cana-3379	95	27	difference	difference	NOUN
cana-3379	95	28	(	(	PUNCT
cana-3379	95	29	ppd	ppd	NOUN
cana-3379	95	30	)	)	PUNCT
cana-3379	95	31	according	accord	VERB
cana-3379	95	32	to	to	ADP
cana-3379	95	33	the	the	DET
cana-3379	95	34	probability	probability	NOUN
cana-3379	95	35	proportion	proportion	NOUN
cana-3379	95	36	difference	difference	NOUN
cana-3379	95	37	(	(	PUNCT
cana-3379	95	38	ppd	ppd	NOUN
cana-3379	95	39	)	)	PUNCT
cana-3379	95	40	,	,	PUNCT
cana-3379	95	41	terms	term	NOUN
cana-3379	95	42	belong	belong	VERB
cana-3379	95	43	to	to	ADP
cana-3379	95	44	a	a	DET
cana-3379	95	45	particular	particular	ADJ
cana-3379	95	46	category	category	NOUN
cana-3379	95	47	within	within	ADP
cana-3379	95	48	a	a	DET
cana-3379	95	49	given	give	VERB
cana-3379	95	50	number	number	NOUN
cana-3379	95	51	of	of	ADP
cana-3379	95	52	degrees	degree	NOUN
cana-3379	95	53	of	of	ADP
cana-3379	95	54	belonging	belong	VERB
cana-3379	95	55	.	.	PUNCT
cana-3379	96	1	negative	negative	ADJ
cana-3379	96	2	or	or	CCONJ
cana-3379	96	3	positive	positive	ADJ
cana-3379	96	4	,	,	PUNCT
cana-3379	96	5	this	this	PRON
cana-3379	96	6	signifies	signify	VERB
cana-3379	96	7	the	the	DET
cana-3379	96	8	importance	importance	NOUN
cana-3379	96	9	of	of	ADP
cana-3379	96	10	a	a	DET
cana-3379	96	11	term	term	NOUN
cana-3379	96	12	(	(	PUNCT
cana-3379	96	13	positive	positive	ADJ
cana-3379	96	14	or	or	CCONJ
cana-3379	96	15	negative	negative	ADJ
cana-3379	96	16	)	)	PUNCT
cana-3379	96	17	when	when	SCONJ
cana-3379	96	18	it	it	PRON
cana-3379	96	19	comes	come	VERB
cana-3379	96	20	to	to	ADP
cana-3379	96	21	identifying	identify	VERB
cana-3379	96	22	new	new	ADJ
cana-3379	96	23	categories	category	NOUN
cana-3379	96	24	.	.	PUNCT
cana-3379	97	1	as	as	ADV
cana-3379	97	2	long	long	ADV
cana-3379	97	3	as	as	SCONJ
cana-3379	97	4	a	a	DET
cana-3379	97	5	term	term	NOUN
cana-3379	97	6	has	have	VERB
cana-3379	97	7	a	a	DET
cana-3379	97	8	high	high	ADJ
cana-3379	97	9	degree	degree	NOUN
cana-3379	97	10	of	of	ADP
cana-3379	97	11	overlap	overlap	NOUN
cana-3379	97	12	with	with	ADP
cana-3379	97	13	both	both	DET
cana-3379	97	14	categories	category	NOUN
cana-3379	97	15	,	,	PUNCT
cana-3379	97	16	it	it	PRON
cana-3379	97	17	is	be	AUX
cana-3379	97	18	useless	useless	ADJ
cana-3379	97	19	for	for	ADP
cana-3379	97	20	classifying	classify	VERB
cana-3379	97	21	people	people	NOUN
cana-3379	97	22	.	.	PUNCT
cana-3379	98	1	[	[	X
cana-3379	98	2	27	27	NUM
cana-3379	98	3	]	]	PUNCT
cana-3379	98	4	.	.	PUNCT
cana-3379	99	1	according	accord	VERB
cana-3379	99	2	to	to	ADP
cana-3379	99	3	statistical	statistical	ADJ
cana-3379	99	4	analysis	analysis	NOUN
cana-3379	99	5	,	,	PUNCT
cana-3379	99	6	a	a	DET
cana-3379	99	7	term	term	NOUN
cana-3379	99	8	will	will	AUX
cana-3379	99	9	be	be	AUX
cana-3379	99	10	more	more	ADV
cana-3379	99	11	likely	likely	ADJ
cana-3379	99	12	to	to	PART
cana-3379	99	13	belong	belong	VERB
cana-3379	99	14	to	to	ADP
cana-3379	99	15	a	a	DET
cana-3379	99	16	group	group	NOUN
cana-3379	99	17	depending	depend	VERB
cana-3379	99	18	on	on	ADP
cana-3379	99	19	how	how	SCONJ
cana-3379	99	20	many	many	ADJ
cana-3379	99	21	documents	document	NOUN
cana-3379	99	22	appear	appear	VERB
cana-3379	99	23	in	in	ADP
cana-3379	99	24	which	which	PRON
cana-3379	99	25	it	it	PRON
cana-3379	99	26	appears	appear	VERB
cana-3379	99	27	and	and	CCONJ
cana-3379	99	28	how	how	SCONJ
cana-3379	99	29	many	many	ADJ
cana-3379	99	30	unique	unique	ADJ
cana-3379	99	31	terms	term	NOUN
cana-3379	99	32	appear	appear	VERB
cana-3379	99	33	in	in	ADP
cana-3379	99	34	that	that	DET
cana-3379	99	35	group	group	NOUN
cana-3379	99	36	[	[	X
cana-3379	99	37	28	28	NUM
cana-3379	99	38	]	]	PUNCT
cana-3379	99	39	.	.	PUNCT
cana-3379	100	1	it	it	PRON
cana-3379	100	2	was	be	AUX
cana-3379	100	3	assessed	assess	VERB
cana-3379	100	4	the	the	DET
cana-3379	100	5	degree	degree	NOUN
cana-3379	100	6	to	to	PART
cana-3379	100	7	which	which	PRON
cana-3379	100	8	categorical	categorical	ADJ
cana-3379	100	9	proportional	proportional	ADJ
cana-3379	100	10	differences	difference	NOUN
cana-3379	100	11	(	(	PUNCT
cana-3379	100	12	cpds	cpd	NOUN
cana-3379	100	13	)	)	PUNCT
cana-3379	100	14	enabled	enable	VERB
cana-3379	100	15	a	a	DET
cana-3379	100	16	term	term	NOUN
cana-3379	100	17	to	to	PART
cana-3379	100	18	discriminate	discriminate	VERB
cana-3379	100	19	between	between	ADP
cana-3379	100	20	classes	class	NOUN
cana-3379	100	21	.	.	PUNCT
cana-3379	101	1	values	value	NOUN
cana-3379	101	2	from	from	ADP
cana-3379	101	3	cpd	cpd	NOUN
cana-3379	101	4	have	have	AUX
cana-3379	101	5	been	be	AUX
cana-3379	101	6	used	use	VERB
cana-3379	101	7	for	for	ADP
cana-3379	101	8	feature	feature	NOUN
cana-3379	101	9	selection	selection	NOUN
cana-3379	101	10	.	.	PUNCT
cana-3379	102	1	a	a	DET
cana-3379	102	2	cpd	cpd	NOUN
cana-3379	102	3	value	value	NOUN
cana-3379	102	4	can	can	AUX
cana-3379	102	5	be	be	AUX
cana-3379	102	6	calculated	calculate	VERB
cana-3379	102	7	for	for	ADP
cana-3379	102	8	a	a	DET
cana-3379	102	9	feature	feature	NOUN
cana-3379	102	10	using	use	VERB
cana-3379	102	11	equation	equation	NOUN
cana-3379	102	12	1	1	NUM
cana-3379	102	13	[	[	X
cana-3379	102	14	28	28	NUM
cana-3379	102	15	]	]	PUNCT
cana-3379	102	16	.	.	PUNCT
cana-3379	103	1	communications	communication	NOUN
cana-3379	103	2	on	on	ADP
cana-3379	103	3	applied	apply	VERB
cana-3379	103	4	nonlinear	nonlinear	ADJ
cana-3379	103	5	analysis	analysis	NOUN
cana-3379	103	6	issn	issn	NOUN
cana-3379	103	7	:	:	PUNCT
cana-3379	103	8	1074	1074	NUM
cana-3379	103	9	-	-	PUNCT
cana-3379	103	10	133x	133x	NUM
cana-3379	103	11	vol	vol	NOUN
cana-3379	103	12	32	32	NUM
cana-3379	103	13	no	no	NOUN
cana-3379	103	14	.	.	PUNCT
cana-3379	104	1	7s	7	NOUN
cana-3379	104	2	(	(	PUNCT
cana-3379	104	3	2025	2025	NUM
cana-3379	104	4	)	)	PUNCT
cana-3379	104	5	226	226	NUM
cana-3379	104	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3379	104	7	-----------(1	-----------(1	PROPN
cana-3379	104	8	)	)	PUNCT
cana-3379	104	9	when	when	SCONJ
cana-3379	104	10	using	use	VERB
cana-3379	104	11	the	the	DET
cana-3379	104	12	posd	posd	NOUN
cana-3379	104	13	and	and	CCONJ
cana-3379	104	14	negd	negd	PROPN
cana-3379	104	15	numbers	number	NOUN
cana-3379	104	16	,	,	PUNCT
cana-3379	104	17	you	you	PRON
cana-3379	104	18	can	can	AUX
cana-3379	104	19	see	see	VERB
cana-3379	104	20	how	how	SCONJ
cana-3379	104	21	many	many	ADJ
cana-3379	104	22	positive	positive	ADJ
cana-3379	104	23	or	or	CCONJ
cana-3379	104	24	negative	negative	ADJ
cana-3379	104	25	papers	paper	NOUN
cana-3379	104	26	each	each	DET
cana-3379	104	27	term	term	NOUN
cana-3379	104	28	appears	appear	VERB
cana-3379	104	29	in	in	ADP
cana-3379	104	30	.	.	PUNCT
cana-3379	105	1	a	a	DET
cana-3379	105	2	cpd	cpd	NOUN
cana-3379	105	3	value	value	NOUN
cana-3379	105	4	is	be	AUX
cana-3379	105	5	a	a	DET
cana-3379	105	6	number	number	NOUN
cana-3379	105	7	between	between	ADP
cana-3379	105	8	0	0	NUM
cana-3379	105	9	and	and	CCONJ
cana-3379	105	10	1	1	NUM
cana-3379	105	11	.	.	NOUN
cana-3379	105	12	positive	positive	ADJ
cana-3379	105	13	or	or	CCONJ
cana-3379	105	14	negative	negative	ADJ
cana-3379	105	15	terms	term	NOUN
cana-3379	105	16	are	be	AUX
cana-3379	105	17	important	important	ADJ
cana-3379	105	18	for	for	ADP
cana-3379	105	19	sentiment	sentiment	NOUN
cana-3379	105	20	classification	classification	NOUN
cana-3379	105	21	if	if	SCONJ
cana-3379	105	22	they	they	PRON
cana-3379	105	23	appear	appear	VERB
cana-3379	105	24	predominantly	predominantly	ADV
cana-3379	105	25	in	in	ADP
cana-3379	105	26	positive	positive	ADJ
cana-3379	105	27	or	or	CCONJ
cana-3379	105	28	negative	negative	ADJ
cana-3379	105	29	class	class	NOUN
cana-3379	105	30	,	,	PUNCT
cana-3379	105	31	and	and	CCONJ
cana-3379	105	32	if	if	SCONJ
cana-3379	105	33	they	they	PRON
cana-3379	105	34	occur	occur	VERB
cana-3379	105	35	equally	equally	ADV
cana-3379	105	36	in	in	ADP
cana-3379	105	37	both	both	CCONJ
cana-3379	105	38	positive	positive	ADJ
cana-3379	105	39	and	and	CCONJ
cana-3379	105	40	negative	negative	ADJ
cana-3379	105	41	class	class	NOUN
cana-3379	105	42	,	,	PUNCT
cana-3379	105	43	they	they	PRON
cana-3379	105	44	are	be	AUX
cana-3379	105	45	not	not	PART
cana-3379	105	46	useful	useful	ADJ
cana-3379	105	47	for	for	ADP
cana-3379	105	48	sentiment	sentiment	NOUN
cana-3379	105	49	classification	classification	NOUN
cana-3379	105	50	[	[	X
cana-3379	105	51	6	6	NUM
cana-3379	105	52	]	]	PUNCT
cana-3379	105	53	.	.	PUNCT
cana-3379	106	1	3.3	3.3	NUM
cana-3379	106	2	categorical	categorical	ADJ
cana-3379	106	3	probability	probability	NOUN
cana-3379	106	4	proportion	proportion	NOUN
cana-3379	106	5	difference	difference	NOUN
cana-3379	106	6	(	(	PUNCT
cana-3379	106	7	cppd	cppd	NOUN
cana-3379	106	8	)	)	PUNCT
cana-3379	106	9	methods	method	NOUN
cana-3379	106	10	for	for	ADP
cana-3379	106	11	blending	blend	VERB
cana-3379	106	12	cpd	cpd	NOUN
cana-3379	106	13	and	and	CCONJ
cana-3379	106	14	ppd	ppd	NOUN
cana-3379	106	15	feature	feature	NOUN
cana-3379	106	16	selection	selection	NOUN
cana-3379	106	17	,	,	PUNCT
cana-3379	106	18	the	the	DET
cana-3379	106	19	category	category	NOUN
cana-3379	106	20	-	-	PUNCT
cana-3379	106	21	based	base	VERB
cana-3379	106	22	proportional	proportional	ADJ
cana-3379	106	23	difference	difference	NOUN
cana-3379	106	24	(	(	PUNCT
cana-3379	106	25	cppd	cppd	PROPN
cana-3379	106	26	)	)	PUNCT
cana-3379	106	27	,	,	PUNCT
cana-3379	106	28	combine	combine	VERB
cana-3379	106	29	both	both	DET
cana-3379	106	30	methods	method	NOUN
cana-3379	106	31	'	'	PART
cana-3379	106	32	advantages	advantage	NOUN
cana-3379	106	33	and	and	CCONJ
cana-3379	106	34	minimize	minimize	VERB
cana-3379	106	35	their	their	PRON
cana-3379	106	36	disadvantages	disadvantage	NOUN
cana-3379	106	37	.	.	PUNCT
cana-3379	107	1	cpd	cpd	PROPN
cana-3379	107	2	is	be	AUX
cana-3379	107	3	an	an	DET
cana-3379	107	4	extremely	extremely	ADV
cana-3379	107	5	beneficial	beneficial	ADJ
cana-3379	107	6	method	method	NOUN
cana-3379	107	7	of	of	ADP
cana-3379	107	8	measuring	measure	VERB
cana-3379	107	9	a	a	DET
cana-3379	107	10	prominent	prominent	ADJ
cana-3379	107	11	feature	feature	NOUN
cana-3379	107	12	since	since	SCONJ
cana-3379	107	13	it	it	PRON
cana-3379	107	14	provides	provide	VERB
cana-3379	107	15	the	the	DET
cana-3379	107	16	ability	ability	NOUN
cana-3379	107	17	to	to	PART
cana-3379	107	18	measure	measure	VERB
cana-3379	107	19	the	the	DET
cana-3379	107	20	degree	degree	NOUN
cana-3379	107	21	of	of	ADP
cana-3379	107	22	class	class	NOUN
cana-3379	107	23	differentiation	differentiation	NOUN
cana-3379	107	24	,	,	PUNCT
cana-3379	107	25	which	which	PRON
cana-3379	107	26	is	be	AUX
cana-3379	107	27	crucial	crucial	ADJ
cana-3379	107	28	to	to	ADP
cana-3379	107	29	the	the	DET
cana-3379	107	30	measurement	measurement	NOUN
cana-3379	107	31	of	of	ADP
cana-3379	107	32	that	that	DET
cana-3379	107	33	feature	feature	NOUN
cana-3379	107	34	.	.	PUNCT
cana-3379	108	1	cpd	cpd	PROPN
cana-3379	108	2	research	research	NOUN
cana-3379	108	3	method	method	NOUN
cana-3379	108	4	,	,	PUNCT
cana-3379	108	5	however	however	ADV
cana-3379	108	6	,	,	PUNCT
cana-3379	108	7	is	be	AUX
cana-3379	108	8	favorable	favorable	ADJ
cana-3379	108	9	because	because	SCONJ
cana-3379	108	10	it	it	PRON
cana-3379	108	11	can	can	AUX
cana-3379	108	12	identify	identify	VERB
cana-3379	108	13	uncommon	uncommon	ADJ
cana-3379	108	14	yet	yet	CCONJ
cana-3379	108	15	unimportant	unimportant	ADJ
cana-3379	108	16	terms	term	NOUN
cana-3379	108	17	which	which	PRON
cana-3379	108	18	are	be	AUX
cana-3379	108	19	not	not	PART
cana-3379	108	20	selected	select	VERB
cana-3379	108	21	in	in	ADP
cana-3379	108	22	ppd	ppd	NOUN
cana-3379	108	23	analysis	analysis	NOUN
cana-3379	108	24	,	,	PUNCT
cana-3379	108	25	allowing	allow	VERB
cana-3379	108	26	the	the	DET
cana-3379	108	27	researcher	researcher	NOUN
cana-3379	108	28	to	to	PART
cana-3379	108	29	include	include	VERB
cana-3379	108	30	these	these	DET
cana-3379	108	31	terms	term	NOUN
cana-3379	108	32	that	that	PRON
cana-3379	108	33	are	be	AUX
cana-3379	108	34	rarely	rarely	ADV
cana-3379	108	35	found	find	VERB
cana-3379	108	36	in	in	ADP
cana-3379	108	37	documents	document	NOUN
cana-3379	108	38	.	.	PUNCT
cana-3379	109	1	according	accord	VERB
cana-3379	109	2	to	to	ADP
cana-3379	109	3	cpd	cpd	PROPN
cana-3379	109	4	's	's	PART
cana-3379	109	5	methods	method	NOUN
cana-3379	109	6	,	,	PUNCT
cana-3379	109	7	terms	term	NOUN
cana-3379	109	8	that	that	PRON
cana-3379	109	9	are	be	AUX
cana-3379	109	10	very	very	ADV
cana-3379	109	11	frequently	frequently	ADV
cana-3379	109	12	occurring	occur	VERB
cana-3379	109	13	in	in	ADP
cana-3379	109	14	documents	document	NOUN
cana-3379	109	15	but	but	CCONJ
cana-3379	109	16	do	do	AUX
cana-3379	109	17	not	not	PART
cana-3379	109	18	hold	hold	VERB
cana-3379	109	19	great	great	ADJ
cana-3379	109	20	significance	significance	NOUN
cana-3379	109	21	can	can	AUX
cana-3379	109	22	be	be	AUX
cana-3379	109	23	excluded	exclude	VERB
cana-3379	109	24	.	.	PUNCT
cana-3379	110	1	these	these	DET
cana-3379	110	2	terms	term	NOUN
cana-3379	110	3	might	might	AUX
cana-3379	110	4	be	be	AUX
cana-3379	110	5	displayed	display	VERB
cana-3379	110	6	on	on	ADP
cana-3379	110	7	the	the	DET
cana-3379	110	8	ppd	ppd	NOUN
cana-3379	110	9	based	base	VERB
cana-3379	110	10	on	on	ADP
cana-3379	110	11	the	the	DET
cana-3379	110	12	method	method	NOUN
cana-3379	110	13	used	use	VERB
cana-3379	110	14	by	by	ADP
cana-3379	110	15	ppd	ppd	PROPN
cana-3379	111	1	[	[	X
cana-3379	111	2	31	31	NUM
cana-3379	111	3	]	]	PUNCT
cana-3379	111	4	.	.	PUNCT
cana-3379	112	1	4	4	NUM
cana-3379	112	2	results	result	VERB
cana-3379	112	3	this	this	DET
cana-3379	112	4	section	section	NOUN
cana-3379	112	5	is	be	AUX
cana-3379	112	6	divided	divide	VERB
cana-3379	112	7	into	into	ADP
cana-3379	112	8	three	three	NUM
cana-3379	112	9	parts	part	NOUN
cana-3379	112	10	1	1	NUM
cana-3379	112	11	.	.	PUNCT
cana-3379	113	1	pre	pre	ADJ
cana-3379	113	2	-	-	ADJ
cana-3379	113	3	processing	processing	ADJ
cana-3379	113	4	,	,	PUNCT
cana-3379	113	5	2	2	X
cana-3379	113	6	.	.	PUNCT
cana-3379	113	7	analyzing	analyze	VERB
cana-3379	113	8	the	the	DET
cana-3379	113	9	system	system	NOUN
cana-3379	113	10	(	(	PUNCT
cana-3379	113	11	feature	feature	NOUN
cana-3379	113	12	extraction	extraction	NOUN
cana-3379	113	13	)	)	PUNCT
cana-3379	113	14	3	3	NUM
cana-3379	113	15	.	.	PUNCT
cana-3379	113	16	performance	performance	NOUN
cana-3379	113	17	measure	measure	NOUN
cana-3379	113	18	(	(	PUNCT
cana-3379	113	19	feature	feature	NOUN
cana-3379	113	20	classification	classification	NOUN
cana-3379	113	21	)	)	PUNCT
cana-3379	113	22	4.1	4.1	NUM
cana-3379	113	23	pre	pre	ADJ
cana-3379	113	24	-	-	ADJ
cana-3379	113	25	processing	processing	NOUN
cana-3379	113	26	as	as	ADP
cana-3379	113	27	a	a	DET
cana-3379	113	28	dataset	dataset	NOUN
cana-3379	113	29	of	of	ADP
cana-3379	113	30	this	this	DET
cana-3379	113	31	size	size	NOUN
cana-3379	113	32	,	,	PUNCT
cana-3379	113	33	uit	uit	NOUN
cana-3379	113	34	-	-	PUNCT
cana-3379	113	35	vsfc	vsfc	NOUN
cana-3379	113	36	has	have	VERB
cana-3379	113	37	lots	lot	NOUN
cana-3379	113	38	of	of	ADP
cana-3379	113	39	positive	positive	ADJ
cana-3379	113	40	comments	comment	NOUN
cana-3379	113	41	that	that	PRON
cana-3379	113	42	bear	bear	VERB
cana-3379	113	43	the	the	DET
cana-3379	113	44	test	test	NOUN
cana-3379	113	45	of	of	ADP
cana-3379	113	46	time	time	NOUN
cana-3379	113	47	.	.	PUNCT
cana-3379	114	1	deep	deep	ADJ
cana-3379	114	2	learning	learning	NOUN
cana-3379	114	3	models	model	NOUN
cana-3379	114	4	outperform	outperform	VERB
cana-3379	114	5	classic	classic	ADJ
cana-3379	114	6	machine	machine	NOUN
cana-3379	114	7	learning	learning	NOUN
cana-3379	114	8	approaches	approach	NOUN
cana-3379	114	9	such	such	ADJ
cana-3379	114	10	as	as	ADP
cana-3379	114	11	lstm	lstm	PROPN
cana-3379	114	12	,	,	PUNCT
cana-3379	114	13	svm	svm	ADJ
cana-3379	114	14	,	,	PUNCT
cana-3379	114	15	and	and	CCONJ
cana-3379	114	16	bilstm	bilstm	NOUN
cana-3379	114	17	,	,	PUNCT
cana-3379	114	18	as	as	ADV
cana-3379	114	19	well	well	ADV
cana-3379	114	20	as	as	ADP
cana-3379	114	21	attention	attention	NOUN
cana-3379	114	22	mechanisms	mechanism	NOUN
cana-3379	114	23	.	.	PUNCT
cana-3379	115	1	ems	ems	PROPN
cana-3379	115	2	.	.	PUNCT
cana-3379	116	1	(	(	PUNCT
cana-3379	116	2	wllr-6c	wllr-6c	PROPN
cana-3379	116	3	-	-	PUNCT
cana-3379	116	4	att-6c	att-6c	PROPN
cana-3379	116	5	-	-	PUNCT
cana-3379	116	6	att	att	NOUN
cana-3379	116	7	-	-	PUNCT
cana-3379	116	8	vnsd	vnsd	NOUN
cana-3379	116	9	)	)	PUNCT
cana-3379	116	10	and	and	CCONJ
cana-3379	116	11	(	(	PUNCT
cana-3379	116	12	6c	6c	NOUN
cana-3379	116	13	-	-	PUNCT
cana-3379	116	14	att-6c	att-6c	NOUN
cana-3379	116	15	-	-	PUNCT
cana-3379	116	16	attwllr	attwllr	NOUN
cana-3379	116	17	)	)	PUNCT
cana-3379	116	18	achieved	achieve	VERB
cana-3379	116	19	excellent	excellent	ADJ
cana-3379	116	20	results	result	NOUN
cana-3379	116	21	when	when	SCONJ
cana-3379	116	22	training	train	VERB
cana-3379	116	23	on	on	ADP
cana-3379	116	24	sufficiently	sufficiently	ADV
cana-3379	116	25	large	large	ADJ
cana-3379	116	26	data	datum	NOUN
cana-3379	116	27	.	.	PUNCT
cana-3379	117	1	it	it	PRON
cana-3379	117	2	should	should	AUX
cana-3379	117	3	be	be	AUX
cana-3379	117	4	noted	note	VERB
cana-3379	117	5	that	that	SCONJ
cana-3379	117	6	,	,	PUNCT
cana-3379	117	7	when	when	SCONJ
cana-3379	117	8	compared	compare	VERB
cana-3379	117	9	with	with	ADP
cana-3379	117	10	the	the	DET
cana-3379	117	11	best	good	ADJ
cana-3379	117	12	model	model	NOUN
cana-3379	117	13	in	in	ADP
cana-3379	117	14	the	the	DET
cana-3379	117	15	literature	literature	NOUN
cana-3379	117	16	so	so	ADV
cana-3379	117	17	far	far	ADV
cana-3379	117	18	,	,	PUNCT
cana-3379	117	19	the	the	DET
cana-3379	117	20	proposed	propose	VERB
cana-3379	117	21	model	model	NOUN
cana-3379	117	22	is	be	AUX
cana-3379	117	23	1.65	1.65	NUM
cana-3379	117	24	%	%	NOUN
cana-3379	117	25	better	well	ADJ
cana-3379	117	26	than	than	ADP
cana-3379	117	27	cem(6c	cem(6c	NOUN
cana-3379	117	28	-	-	PUNCT
cana-3379	117	29	lstm	lstm	NOUN
cana-3379	117	30	-	-	PUNCT
cana-3379	117	31	wllr	wllr	NOUN
cana-3379	117	32	)	)	PUNCT
cana-3379	117	33	.	.	PUNCT
cana-3379	118	1	4.2	4.2	NUM
cana-3379	118	2	analyzing	analyze	VERB
cana-3379	118	3	the	the	DET
cana-3379	118	4	system	system	NOUN
cana-3379	118	5	(	(	PUNCT
cana-3379	118	6	feature	feature	NOUN
cana-3379	118	7	extraction	extraction	NOUN
cana-3379	118	8	)	)	PUNCT
cana-3379	118	9	ensemble	ensemble	ADJ
cana-3379	118	10	learning	learning	NOUN
cana-3379	118	11	systems	system	NOUN
cana-3379	118	12	that	that	PRON
cana-3379	118	13	use	use	VERB
cana-3379	118	14	cem(6c	cem(6c	PROPN
cana-3379	118	15	-	-	PUNCT
cana-3379	118	16	att	att	PROPN
cana-3379	118	17	-	-	PUNCT
cana-3379	118	18	wllr	wllr	NOUN
cana-3379	118	19	)	)	PUNCT
cana-3379	118	20	rather	rather	ADV
cana-3379	118	21	than	than	ADP
cana-3379	118	22	cem(6c	cem(6c	NOUN
cana-3379	118	23	-	-	PUNCT
cana-3379	118	24	lstm	lstm	NOUN
cana-3379	118	25	-	-	PUNCT
cana-3379	118	26	wllr	wllr	NOUN
cana-3379	118	27	)	)	PUNCT
cana-3379	118	28	frequently	frequently	ADV
cana-3379	118	29	get	get	VERB
cana-3379	118	30	superior	superior	ADJ
cana-3379	118	31	outcomes	outcome	NOUN
cana-3379	118	32	to	to	ADP
cana-3379	118	33	those	those	PRON
cana-3379	118	34	that	that	PRON
cana-3379	118	35	use	use	VERB
cana-3379	118	36	standard	standard	ADJ
cana-3379	118	37	techniques	technique	NOUN
cana-3379	118	38	.	.	PUNCT
cana-3379	119	1	this	this	PRON
cana-3379	119	2	indicates	indicate	VERB
cana-3379	119	3	that	that	SCONJ
cana-3379	119	4	consideration	consideration	NOUN
cana-3379	119	5	of	of	ADP
cana-3379	119	6	attention	attention	NOUN
cana-3379	119	7	(	(	PUNCT
cana-3379	119	8	attention	attention	NOUN
cana-3379	119	9	-	-	PUNCT
cana-3379	119	10	based	base	VERB
cana-3379	119	11	)	)	PUNCT
cana-3379	119	12	does	do	AUX
cana-3379	119	13	not	not	PART
cana-3379	119	14	provide	provide	VERB
cana-3379	119	15	superior	superior	ADJ
cana-3379	119	16	sentiment	sentiment	NOUN
cana-3379	119	17	classification	classification	NOUN
cana-3379	119	18	to	to	ADP
cana-3379	119	19	linear	linear	PROPN
cana-3379	119	20	svm	svm	PROPN
cana-3379	119	21	.	.	PROPN
cana-3379	119	22	4.3	4.3	NUM
cana-3379	119	23	performance	performance	NOUN
cana-3379	119	24	measures	measure	NOUN
cana-3379	119	25	(	(	PUNCT
cana-3379	119	26	feature	feature	NOUN
cana-3379	119	27	classification	classification	NOUN
cana-3379	119	28	)	)	PUNCT
cana-3379	119	29	this	this	DET
cana-3379	119	30	measure	measure	NOUN
cana-3379	119	31	,	,	PUNCT
cana-3379	119	32	which	which	PRON
cana-3379	119	33	is	be	AUX
cana-3379	119	34	frequently	frequently	ADV
cana-3379	119	35	used	use	VERB
cana-3379	119	36	,	,	PUNCT
cana-3379	119	37	combines	combine	VERB
cana-3379	119	38	both	both	DET
cana-3379	119	39	precision	precision	NOUN
cana-3379	119	40	and	and	CCONJ
cana-3379	119	41	recall	recall	NOUN
cana-3379	119	42	,	,	PUNCT
cana-3379	119	43	both	both	PRON
cana-3379	119	44	of	of	ADP
cana-3379	119	45	which	which	PRON
cana-3379	119	46	reveal	reveal	VERB
cana-3379	119	47	a	a	DET
cana-3379	119	48	lot	lot	NOUN
cana-3379	119	49	about	about	ADP
cana-3379	119	50	a	a	DET
cana-3379	119	51	thing	thing	NOUN
cana-3379	119	52	.	.	PUNCT
cana-3379	120	1	precision	precision	NOUN
cana-3379	120	2	is	be	AUX
cana-3379	120	3	defined	define	VERB
cana-3379	120	4	in	in	ADP
cana-3379	120	5	class	class	NOUN
cana-3379	120	6	c	c	PROPN
cana-3379	120	7	as	as	ADP
cana-3379	120	8	the	the	DET
cana-3379	120	9	difference	difference	NOUN
cana-3379	120	10	between	between	ADP
cana-3379	120	11	the	the	DET
cana-3379	120	12	total	total	ADJ
cana-3379	120	13	number	number	NOUN
cana-3379	120	14	of	of	ADP
cana-3379	120	15	correctly	correctly	ADV
cana-3379	120	16	classified	classified	ADJ
cana-3379	120	17	documents	document	NOUN
cana-3379	120	18	and	and	CCONJ
cana-3379	120	19	the	the	DET
cana-3379	120	20	total	total	ADJ
cana-3379	120	21	number	number	NOUN
cana-3379	120	22	of	of	ADP
cana-3379	120	23	classified	classified	ADJ
cana-3379	120	24	documents	document	NOUN
cana-3379	120	25	(	(	PUNCT
cana-3379	120	26	sum	sum	NOUN
cana-3379	120	27	of	of	ADP
cana-3379	120	28	true	true	ADJ
cana-3379	120	29	positives	positive	NOUN
cana-3379	120	30	(	(	PUNCT
cana-3379	120	31	tp	tp	NOUN
cana-3379	120	32	)	)	PUNCT
cana-3379	120	33	and	and	CCONJ
cana-3379	120	34	false	false	ADJ
cana-3379	120	35	positives	positive	NOUN
cana-3379	120	36	(	(	PUNCT
cana-3379	120	37	fp	fp	NOUN
cana-3379	120	38	)	)	PUNCT
cana-3379	120	39	)	)	PUNCT
cana-3379	120	40	.	.	PUNCT
cana-3379	121	1	in	in	ADP
cana-3379	121	2	cpd	cpd	ADJ
cana-3379	121	3	feature	feature	NOUN
cana-3379	121	4	selection	selection	NOUN
cana-3379	121	5	methods	method	NOUN
cana-3379	121	6	,	,	PUNCT
cana-3379	121	7	features	feature	VERB
cana-3379	121	8	with	with	ADP
cana-3379	121	9	very	very	ADV
cana-3379	121	10	low	low	ADJ
cana-3379	121	11	document	document	NOUN
cana-3379	121	12	frequencies	frequency	NOUN
cana-3379	121	13	,	,	PUNCT
cana-3379	121	14	which	which	PRON
cana-3379	121	15	do	do	AUX
cana-3379	121	16	not	not	PART
cana-3379	121	17	play	play	VERB
cana-3379	121	18	a	a	DET
cana-3379	121	19	significant	significant	ADJ
cana-3379	121	20	role	role	NOUN
cana-3379	121	21	in	in	ADP
cana-3379	121	22	classification	classification	NOUN
cana-3379	121	23	,	,	PUNCT
cana-3379	121	24	can	can	AUX
cana-3379	121	25	result	result	VERB
cana-3379	121	26	in	in	ADP
cana-3379	121	27	extremely	extremely	ADV
cana-3379	121	28	high	high	ADJ
cana-3379	121	29	cpd	cpd	ADJ
cana-3379	121	30	values	value	NOUN
cana-3379	121	31	.	.	PUNCT
cana-3379	122	1	due	due	ADP
cana-3379	122	2	to	to	ADP
cana-3379	122	3	their	their	PRON
cana-3379	122	4	low	low	ADJ
cana-3379	122	5	ppd	ppd	NOUN
cana-3379	122	6	values	value	NOUN
cana-3379	122	7	,	,	PUNCT
cana-3379	122	8	communications	communication	NOUN
cana-3379	122	9	on	on	ADP
cana-3379	122	10	applied	apply	VERB
cana-3379	122	11	nonlinear	nonlinear	ADJ
cana-3379	122	12	analysis	analysis	NOUN
cana-3379	122	13	issn	issn	NOUN
cana-3379	122	14	:	:	PUNCT
cana-3379	122	15	1074	1074	NUM
cana-3379	122	16	-	-	PUNCT
cana-3379	122	17	133x	133x	NUM
cana-3379	122	18	vol	vol	NOUN
cana-3379	122	19	32	32	NUM
cana-3379	122	20	no	no	NOUN
cana-3379	122	21	.	.	PUNCT
cana-3379	123	1	7s	7	NOUN
cana-3379	123	2	(	(	PUNCT
cana-3379	123	3	2025	2025	NUM
cana-3379	123	4	)	)	PUNCT
cana-3379	123	5	227	227	NUM
cana-3379	123	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3379	123	7	these	these	DET
cana-3379	123	8	terms	term	NOUN
cana-3379	123	9	were	be	AUX
cana-3379	123	10	excluded	exclude	VERB
cana-3379	123	11	using	use	VERB
cana-3379	123	12	the	the	DET
cana-3379	123	13	ppd	ppd	PROPN
cana-3379	123	14	features	feature	VERB
cana-3379	123	15	selection	selection	NOUN
cana-3379	123	16	method	method	NOUN
cana-3379	123	17	.	.	PUNCT
cana-3379	124	1	the	the	DET
cana-3379	124	2	terms	term	NOUN
cana-3379	124	3	"	"	PUNCT
cana-3379	124	4	poor	poor	ADJ
cana-3379	124	5	"	"	PUNCT
cana-3379	124	6	and	and	CCONJ
cana-3379	124	7	"	"	PUNCT
cana-3379	124	8	despicable	despicable	ADJ
cana-3379	124	9	"	"	PUNCT
cana-3379	124	10	are	be	AUX
cana-3379	124	11	also	also	ADV
cana-3379	124	12	highly	highly	ADV
cana-3379	124	13	disproportionally	disproportionally	ADV
cana-3379	124	14	represented	represent	VERB
cana-3379	124	15	in	in	ADP
cana-3379	124	16	the	the	DET
cana-3379	124	17	data	datum	NOUN
cana-3379	124	18	set	set	VERB
cana-3379	124	19	that	that	PRON
cana-3379	124	20	contains	contain	VERB
cana-3379	124	21	movie	movie	NOUN
cana-3379	124	22	reviews	review	NOUN
cana-3379	124	23	.	.	PUNCT
cana-3379	125	1	compared	compare	VERB
cana-3379	125	2	to	to	ADP
cana-3379	125	3	the	the	DET
cana-3379	125	4	cpd	cpd	ADJ
cana-3379	125	5	method	method	NOUN
cana-3379	125	6	,	,	PUNCT
cana-3379	125	7	the	the	DET
cana-3379	125	8	ppd	ppd	NOUN
cana-3379	125	9	method	method	NOUN
cana-3379	125	10	includes	include	VERB
cana-3379	125	11	these	these	PRON
cana-3379	125	12	,	,	PUNCT
cana-3379	125	13	while	while	SCONJ
cana-3379	125	14	the	the	DET
cana-3379	125	15	cpd	cpd	NOUN
cana-3379	125	16	method	method	NOUN
cana-3379	125	17	eliminates	eliminate	VERB
cana-3379	125	18	them	they	PRON
cana-3379	125	19	.	.	PUNCT
cana-3379	126	1	some	some	DET
cana-3379	126	2	terms	term	NOUN
cana-3379	126	3	with	with	ADP
cana-3379	126	4	high	high	ADJ
cana-3379	126	5	ppd	ppd	NOUN
cana-3379	126	6	value	value	NOUN
cana-3379	126	7	,	,	PUNCT
cana-3379	126	8	nevertheless	nevertheless	ADV
cana-3379	126	9	,	,	PUNCT
cana-3379	126	10	are	be	AUX
cana-3379	126	11	not	not	PART
cana-3379	126	12	significant	significant	ADJ
cana-3379	126	13	,	,	PUNCT
cana-3379	126	14	even	even	ADV
cana-3379	126	15	though	though	SCONJ
cana-3379	126	16	they	they	PRON
cana-3379	126	17	have	have	VERB
cana-3379	126	18	strong	strong	ADJ
cana-3379	126	19	df	df	NOUN
cana-3379	126	20	value	value	NOUN
cana-3379	126	21	.	.	PUNCT
cana-3379	127	1	this	this	DET
cana-3379	127	2	paper	paper	NOUN
cana-3379	127	3	presents	present	VERB
cana-3379	127	4	a	a	DET
cana-3379	127	5	new	new	ADJ
cana-3379	127	6	feature	feature	NOUN
cana-3379	127	7	selection	selection	NOUN
cana-3379	127	8	technique	technique	NOUN
cana-3379	127	9	based	base	VERB
cana-3379	127	10	on	on	ADP
cana-3379	127	11	a	a	DET
cana-3379	127	12	combination	combination	NOUN
cana-3379	127	13	of	of	ADP
cana-3379	127	14	ppd	ppd	NOUN
cana-3379	127	15	and	and	CCONJ
cana-3379	127	16	cpd	cpd	NOUN
cana-3379	127	17	that	that	PRON
cana-3379	127	18	takes	take	VERB
cana-3379	127	19	into	into	ADP
cana-3379	127	20	account	account	NOUN
cana-3379	127	21	when	when	SCONJ
cana-3379	127	22	selecting	selecting	NOUN
cana-3379	127	23	features	feature	VERB
cana-3379	127	24	the	the	DET
cana-3379	127	25	class	class	NOUN
cana-3379	127	26	distinguishability	distinguishability	NOUN
cana-3379	127	27	of	of	ADP
cana-3379	127	28	terms	term	NOUN
cana-3379	127	29	as	as	ADV
cana-3379	127	30	well	well	ADV
cana-3379	127	31	as	as	ADP
cana-3379	127	32	their	their	PRON
cana-3379	127	33	relevance	relevance	NOUN
cana-3379	127	34	based	base	VERB
cana-3379	127	35	on	on	ADP
cana-3379	127	36	probability	probability	NOUN
cana-3379	127	37	and	and	CCONJ
cana-3379	127	38	the	the	DET
cana-3379	127	39	importance	importance	NOUN
cana-3379	127	40	of	of	ADP
cana-3379	127	41	documents	document	NOUN
cana-3379	127	42	.	.	PUNCT
cana-3379	128	1	in	in	ADP
cana-3379	128	2	table	table	NOUN
cana-3379	128	3	5	5	NUM
cana-3379	128	4	we	we	PRON
cana-3379	128	5	have	have	AUX
cana-3379	128	6	shown	show	VERB
cana-3379	128	7	values	value	NOUN
cana-3379	128	8	of	of	ADP
cana-3379	128	9	f	f	PROPN
cana-3379	128	10	measures	measure	NOUN
cana-3379	128	11	,	,	PUNCT
cana-3379	128	12	accuracy	accuracy	NOUN
cana-3379	128	13	and	and	CCONJ
cana-3379	128	14	precision	precision	NOUN
cana-3379	128	15	for	for	ADP
cana-3379	128	16	movie	movie	NOUN
cana-3379	128	17	and	and	CCONJ
cana-3379	128	18	book	book	NOUN
cana-3379	128	19	reviews	review	NOUN
cana-3379	128	20	across	across	ADP
cana-3379	128	21	different	different	ADJ
cana-3379	128	22	feature	feature	NOUN
cana-3379	128	23	sizes	size	NOUN
cana-3379	128	24	,	,	PUNCT
cana-3379	128	25	using	use	VERB
cana-3379	128	26	various	various	ADJ
cana-3379	128	27	feature	feature	NOUN
cana-3379	128	28	selection	selection	NOUN
cana-3379	128	29	(	(	PUNCT
cana-3379	128	30	fs	fs	NOUN
cana-3379	128	31	)	)	PUNCT
cana-3379	128	32	methods	method	NOUN
cana-3379	128	33	as	as	ADP
cana-3379	128	34	a	a	DET
cana-3379	128	35	training	training	NOUN
cana-3379	128	36	set	set	VERB
cana-3379	128	37	for	for	ADP
cana-3379	128	38	svm	svm	ADJ
cana-3379	128	39	classifiers	classifier	NOUN
cana-3379	128	40	.	.	PUNCT
cana-3379	129	1	figure	figure	VERB
cana-3379	129	2	4	4	NUM
cana-3379	129	3	(	(	PUNCT
cana-3379	129	4	a	a	X
cana-3379	129	5	):	):	PUNCT
cana-3379	129	6	the	the	DET
cana-3379	129	7	f	f	NOUN
cana-3379	129	8	-	-	PUNCT
cana-3379	129	9	measure	measure	NOUN
cana-3379	129	10	for	for	ADP
cana-3379	129	11	hotel	hotel	NOUN
cana-3379	129	12	reviews	review	NOUN
cana-3379	129	13	.	.	PUNCT
cana-3379	130	1	figure	figure	NOUN
cana-3379	130	2	4(b	4(b	NUM
cana-3379	130	3	):	):	PUNCT
cana-3379	130	4	the	the	DET
cana-3379	130	5	f	f	NOUN
cana-3379	130	6	-	-	PUNCT
cana-3379	130	7	measure	measure	NOUN
cana-3379	130	8	for	for	ADP
cana-3379	130	9	movie	movie	NOUN
cana-3379	130	10	the	the	DET
cana-3379	130	11	first	first	ADJ
cana-3379	130	12	graph	graph	NOUN
cana-3379	130	13	5(a	5(a	NUM
cana-3379	130	14	)	)	PUNCT
cana-3379	130	15	shows	show	VERB
cana-3379	130	16	the	the	DET
cana-3379	130	17	training	training	NOUN
cana-3379	130	18	and	and	CCONJ
cana-3379	130	19	validation	validation	NOUN
cana-3379	130	20	loss	loss	NOUN
cana-3379	130	21	with	with	ADP
cana-3379	130	22	regards	regard	NOUN
cana-3379	130	23	to	to	ADP
cana-3379	130	24	epochs	epoch	NOUN
cana-3379	130	25	.	.	PUNCT
cana-3379	131	1	the	the	DET
cana-3379	131	2	second	second	ADJ
cana-3379	131	3	graph	graph	NOUN
cana-3379	131	4	5(b	5(b	NUM
cana-3379	131	5	)	)	PUNCT
cana-3379	131	6	shows	show	VERB
cana-3379	131	7	the	the	DET
cana-3379	131	8	actual	actual	ADJ
cana-3379	131	9	validation	validation	NOUN
cana-3379	131	10	and	and	CCONJ
cana-3379	131	11	training	training	NOUN
cana-3379	131	12	accuracy	accuracy	NOUN
cana-3379	131	13	with	with	ADP
cana-3379	131	14	five	five	NUM
cana-3379	131	15	different	different	ADJ
cana-3379	131	16	thresholds	threshold	NOUN
cana-3379	131	17	.	.	PUNCT
cana-3379	132	1	figure	figure	NOUN
cana-3379	132	2	5(a	5(a	NUM
cana-3379	132	3	):	):	PUNCT
cana-3379	132	4	training	training	NOUN
cana-3379	132	5	and	and	CCONJ
cana-3379	132	6	validation	validation	NOUN
cana-3379	132	7	loss	loss	NOUN
cana-3379	132	8	figure	figure	NOUN
cana-3379	132	9	5(b	5(b	NUM
cana-3379	132	10	):	):	PUNCT
cana-3379	132	11	actual	actual	ADJ
cana-3379	132	12	validation	validation	NOUN
cana-3379	132	13	and	and	CCONJ
cana-3379	132	14	training	training	NOUN
cana-3379	132	15	accuracy	accuracy	NOUN
cana-3379	132	16	5	5	NUM
cana-3379	132	17	.	.	PUNCT
cana-3379	132	18	conclusion	conclusion	NOUN
cana-3379	132	19	comparing	compare	VERB
cana-3379	132	20	the	the	DET
cana-3379	132	21	ppd	ppd	PROPN
cana-3379	132	22	methodology	methodology	NOUN
cana-3379	132	23	with	with	ADP
cana-3379	132	24	different	different	ADJ
cana-3379	132	25	feature	feature	NOUN
cana-3379	132	26	selection	selection	NOUN
cana-3379	132	27	techniques	technique	NOUN
cana-3379	132	28	,	,	PUNCT
cana-3379	132	29	cppd	cppd	PROPN
cana-3379	132	30	methodology	methodology	NOUN
cana-3379	132	31	produces	produce	VERB
cana-3379	132	32	superior	superior	ADJ
cana-3379	132	33	results	result	NOUN
cana-3379	132	34	.	.	PUNCT
cana-3379	133	1	additionally	additionally	ADV
cana-3379	133	2	,	,	PUNCT
cana-3379	133	3	book	book	NOUN
cana-3379	133	4	review	review	NOUN
cana-3379	133	5	and	and	CCONJ
cana-3379	133	6	movie	movie	NOUN
cana-3379	133	7	review	review	NOUN
cana-3379	133	8	datasets	dataset	NOUN
cana-3379	133	9	revealed	reveal	VERB
cana-3379	133	10	the	the	DET
cana-3379	133	11	most	most	ADV
cana-3379	133	12	meaningful	meaningful	ADJ
cana-3379	133	13	f	f	NOUN
cana-3379	133	14	-	-	PUNCT
cana-3379	133	15	measures	measure	NOUN
cana-3379	133	16	when	when	SCONJ
cana-3379	133	17	1000	1000	NUM
cana-3379	133	18	and	and	CCONJ
cana-3379	133	19	800	800	NUM
cana-3379	133	20	features	feature	NOUN
cana-3379	133	21	are	be	AUX
cana-3379	133	22	measured	measure	VERB
cana-3379	133	23	,	,	PUNCT
cana-3379	133	24	i.e.	i.e.	X
cana-3379	133	25	approximately	approximately	ADV
cana-3379	133	26	10	10	NUM
cana-3379	133	27	-	-	SYM
cana-3379	133	28	15	15	NUM
cana-3379	133	29	%	%	NOUN
cana-3379	133	30	of	of	ADP
cana-3379	133	31	the	the	DET
cana-3379	133	32	total	total	ADJ
cana-3379	133	33	unigram	unigram	NOUN
cana-3379	133	34	features	feature	NOUN
cana-3379	133	35	.	.	PUNCT
cana-3379	134	1	this	this	DET
cana-3379	134	2	proposed	propose	VERB
cana-3379	134	3	method	method	NOUN
cana-3379	134	4	utilizes	utilize	VERB
cana-3379	134	5	the	the	DET
cana-3379	134	6	concept	concept	NOUN
cana-3379	134	7	of	of	ADP
cana-3379	134	8	cppd	cppd	ADJ
cana-3379	134	9	feature	feature	NOUN
cana-3379	134	10	selection	selection	NOUN
cana-3379	134	11	in	in	ADP
cana-3379	134	12	order	order	NOUN
cana-3379	134	13	to	to	PART
cana-3379	134	14	eliminate	eliminate	VERB
cana-3379	134	15	irrelevant	irrelevant	ADJ
cana-3379	134	16	features	feature	NOUN
cana-3379	134	17	in	in	ADP
cana-3379	134	18	addition	addition	NOUN
cana-3379	134	19	to	to	ADP
cana-3379	134	20	being	be	AUX
cana-3379	134	21	highly	highly	ADV
cana-3379	134	22	computationally	computationally	ADV
cana-3379	134	23	efficient	efficient	ADJ
cana-3379	134	24	.	.	PUNCT
cana-3379	135	1	a	a	DET
cana-3379	135	2	categorization	categorization	NOUN
cana-3379	135	3	communications	communication	NOUN
cana-3379	135	4	on	on	ADP
cana-3379	135	5	applied	apply	VERB
cana-3379	135	6	nonlinear	nonlinear	ADJ
cana-3379	135	7	analysis	analysis	NOUN
cana-3379	135	8	issn	issn	NOUN
cana-3379	135	9	:	:	PUNCT
cana-3379	135	10	1074	1074	NUM
cana-3379	135	11	-	-	PUNCT
cana-3379	135	12	133x	133x	NUM
cana-3379	135	13	vol	vol	NOUN
cana-3379	135	14	32	32	NUM
cana-3379	135	15	no	no	NOUN
cana-3379	135	16	.	.	PUNCT
cana-3379	136	1	7s	7	NOUN
cana-3379	136	2	(	(	PUNCT
cana-3379	136	3	2025	2025	NUM
cana-3379	136	4	)	)	PUNCT
cana-3379	136	5	228	228	NUM
cana-3379	136	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3379	136	7	system	system	NOUN
cana-3379	136	8	is	be	AUX
cana-3379	136	9	created	create	VERB
cana-3379	136	10	by	by	ADP
cana-3379	136	11	selecting	select	VERB
cana-3379	136	12	features	feature	NOUN
cana-3379	136	13	that	that	PRON
cana-3379	136	14	can	can	AUX
cana-3379	136	15	be	be	AUX
cana-3379	136	16	used	use	VERB
cana-3379	136	17	in	in	ADP
cana-3379	136	18	the	the	DET
cana-3379	136	19	system	system	NOUN
cana-3379	136	20	.	.	PUNCT
cana-3379	137	1	evaluation	evaluation	NOUN
cana-3379	137	2	of	of	ADP
cana-3379	137	3	the	the	DET
cana-3379	137	4	proposed	propose	VERB
cana-3379	137	5	schemes	scheme	NOUN
cana-3379	137	6	is	be	AUX
cana-3379	137	7	done	do	VERB
cana-3379	137	8	using	use	VERB
cana-3379	137	9	two	two	NUM
cana-3379	137	10	datasets	dataset	NOUN
cana-3379	137	11	that	that	PRON
cana-3379	137	12	have	have	AUX
cana-3379	137	13	been	be	AUX
cana-3379	137	14	standardized	standardize	VERB
cana-3379	137	15	.	.	PUNCT
cana-3379	138	1	the	the	DET
cana-3379	138	2	proposed	propose	VERB
cana-3379	138	3	strategy	strategy	NOUN
cana-3379	138	4	clearly	clearly	ADV
cana-3379	138	5	increased	increase	VERB
cana-3379	138	6	the	the	DET
cana-3379	138	7	experiment	experiment	NOUN
cana-3379	138	8	's	's	PART
cana-3379	138	9	categorization	categorization	NOUN
cana-3379	138	10	accuracy	accuracy	NOUN
cana-3379	138	11	.	.	PUNCT
cana-3379	139	1	references	reference	NOUN
cana-3379	139	2	[	[	X
cana-3379	139	3	1	1	NUM
cana-3379	139	4	]	]	X
cana-3379	139	5	abid	abid	PROPN
cana-3379	139	6	,	,	PUNCT
cana-3379	139	7	f.	f.	PROPN
cana-3379	139	8	,	,	PUNCT
cana-3379	139	9	li	li	PROPN
cana-3379	139	10	,	,	PUNCT
cana-3379	139	11	c.	c.	PROPN
cana-3379	139	12	,	,	PUNCT
cana-3379	139	13	&	&	CCONJ
cana-3379	139	14	alam	alam	PROPN
cana-3379	139	15	,	,	PUNCT
cana-3379	139	16	m.	m.	NOUN
cana-3379	139	17	(	(	PUNCT
cana-3379	139	18	2020	2020	NUM
cana-3379	139	19	)	)	PUNCT
cana-3379	139	20	.	.	PUNCT
cana-3379	140	1	multi	multi	ADJ
cana-3379	140	2	-	-	ADJ
cana-3379	140	3	source	source	ADJ
cana-3379	140	4	social	social	ADJ
cana-3379	140	5	media	medium	NOUN
cana-3379	140	6	data	datum	NOUN
cana-3379	140	7	sentiment	sentiment	NOUN
cana-3379	140	8	analysis	analysis	NOUN
cana-3379	140	9	using	use	VERB
cana-3379	140	10	bidirectional	bidirectional	ADJ
cana-3379	140	11	recurrent	recurrent	ADJ
cana-3379	140	12	convolutional	convolutional	ADJ
cana-3379	140	13	neural	neural	ADJ
cana-3379	140	14	networks	network	NOUN
cana-3379	140	15	.	.	PUNCT
cana-3379	141	1	computer	computer	NOUN
cana-3379	141	2	communications	communication	NOUN
cana-3379	141	3	,	,	PUNCT
cana-3379	141	4	157	157	NUM
cana-3379	141	5	,	,	PUNCT
cana-3379	141	6	102115.https://doi.org/10.1016/j.comcom.2020.04.002	102115.https://doi.org/10.1016/j.comcom.2020.04.002	PROPN
cana-3379	142	1	[	[	X
cana-3379	142	2	2	2	NUM
cana-3379	142	3	]	]	X
cana-3379	142	4	ahmad	ahmad	PROPN
cana-3379	142	5	,	,	PUNCT
cana-3379	142	6	m.	m.	NOUN
cana-3379	142	7	,	,	PUNCT
cana-3379	142	8	aftab	aftab	PROPN
cana-3379	142	9	,	,	PUNCT
cana-3379	142	10	s.	s.	PROPN
cana-3379	142	11	,	,	PUNCT
cana-3379	142	12	ali	ali	PROPN
cana-3379	142	13	,	,	PUNCT
cana-3379	142	14	i.	i.	PROPN
cana-3379	142	15	,	,	PUNCT
cana-3379	142	16	&	&	CCONJ
cana-3379	142	17	hameed	hameed	PROPN
cana-3379	142	18	,	,	PUNCT
cana-3379	142	19	n.	n.	PROPN
cana-3379	142	20	j.	j.	PROPN
cana-3379	142	21	i.	i.	PROPN
cana-3379	142	22	j.	j.	PROPN
cana-3379	142	23	m.	m.	PROPN
cana-3379	142	24	s.	s.	PROPN
cana-3379	142	25	e.	e.	PROPN
cana-3379	142	26	(	(	PUNCT
cana-3379	142	27	2017	2017	NUM
cana-3379	142	28	)	)	PUNCT
cana-3379	142	29	.	.	PUNCT
cana-3379	143	1	hybrid	hybrid	ADJ
cana-3379	143	2	tools	tool	NOUN
cana-3379	143	3	and	and	CCONJ
cana-3379	143	4	techniques	technique	NOUN
cana-3379	143	5	for	for	ADP
cana-3379	143	6	sentiment	sentiment	NOUN
cana-3379	143	7	analysis	analysis	NOUN
cana-3379	143	8	:	:	PUNCT
cana-3379	143	9	a	a	DET
cana-3379	143	10	review	review	NOUN
cana-3379	143	11	.	.	PUNCT
cana-3379	144	1	int	int	NOUN
cana-3379	144	2	.	.	PUNCT
cana-3379	145	1	j.	j.	PROPN
cana-3379	145	2	multidiscip	multidiscip	PROPN
cana-3379	145	3	.	.	PUNCT
cana-3379	146	1	sci	sci	PROPN
cana-3379	146	2	.	.	PUNCT
cana-3379	146	3	eng	eng	PROPN
cana-3379	146	4	,	,	PUNCT
cana-3379	146	5	8(3	8(3	NUM
cana-3379	146	6	)	)	PUNCT
cana-3379	146	7	,	,	PUNCT
cana-3379	146	8	29	29	NUM
cana-3379	146	9	-	-	SYM
cana-3379	146	10	33	33	NUM
cana-3379	146	11	.	.	PUNCT
cana-3379	147	1	[	[	X
cana-3379	147	2	3	3	NUM
cana-3379	147	3	]	]	X
cana-3379	147	4	ahmad	ahmad	PROPN
cana-3379	147	5	,	,	PUNCT
cana-3379	147	6	m.	m.	NOUN
cana-3379	147	7	,	,	PUNCT
cana-3379	147	8	aftab	aftab	PROPN
cana-3379	147	9	,	,	PUNCT
cana-3379	147	10	s.	s.	PROPN
cana-3379	147	11	,	,	PUNCT
cana-3379	147	12	bashir	bashir	PROPN
cana-3379	147	13	,	,	PUNCT
cana-3379	147	14	m.	m.	NOUN
cana-3379	147	15	s.	s.	PROPN
cana-3379	147	16	,	,	PUNCT
cana-3379	147	17	&	&	CCONJ
cana-3379	147	18	hameed	hameed	PROPN
cana-3379	147	19	,	,	PUNCT
cana-3379	147	20	n.	n.	NOUN
cana-3379	147	21	(	(	PUNCT
cana-3379	147	22	2018	2018	NUM
cana-3379	147	23	)	)	PUNCT
cana-3379	147	24	.	.	PUNCT
cana-3379	148	1	sentiment	sentiment	NOUN
cana-3379	148	2	analysis	analysis	NOUN
cana-3379	148	3	using	use	VERB
cana-3379	148	4	svm	svm	NOUN
cana-3379	148	5	:	:	PUNCT
cana-3379	148	6	a	a	DET
cana-3379	148	7	systematic	systematic	ADJ
cana-3379	148	8	literature	literature	NOUN
cana-3379	148	9	review	review	NOUN
cana-3379	148	10	.	.	PUNCT
cana-3379	149	1	international	international	ADJ
cana-3379	149	2	journal	journal	PROPN
cana-3379	149	3	of	of	ADP
cana-3379	149	4	advanced	advanced	ADJ
cana-3379	149	5	computer	computer	NOUN
cana-3379	149	6	science	science	NOUN
cana-3379	149	7	and	and	CCONJ
cana-3379	149	8	applications	application	NOUN
cana-3379	149	9	,	,	PUNCT
cana-3379	149	10	9(2	9(2	NUM
cana-3379	149	11	)	)	PUNCT
cana-3379	149	12	.	.	PUNCT
cana-3379	150	1	[	[	X
cana-3379	150	2	4	4	NUM
cana-3379	150	3	]	]	X
cana-3379	150	4	ibrahim	ibrahim	PROPN
cana-3379	150	5	,	,	PUNCT
cana-3379	150	6	m.	m.	NOUN
cana-3379	150	7	a.	a.	PROPN
cana-3379	150	8	,	,	PUNCT
cana-3379	150	9	&	&	CCONJ
cana-3379	150	10	salim	salim	PROPN
cana-3379	150	11	,	,	PUNCT
cana-3379	150	12	n.	n.	PROPN
cana-3379	150	13	(	(	PUNCT
cana-3379	150	14	2013	2013	NUM
cana-3379	150	15	)	)	PUNCT
cana-3379	150	16	.	.	PUNCT
cana-3379	151	1	opinion	opinion	NOUN
cana-3379	151	2	analysis	analysis	NOUN
cana-3379	151	3	for	for	ADP
cana-3379	151	4	twitter	twitter	NOUN
cana-3379	151	5	and	and	CCONJ
cana-3379	151	6	arabic	arabic	ADJ
cana-3379	151	7	tweets	tweet	NOUN
cana-3379	151	8	:	:	PUNCT
cana-3379	151	9	a	a	DET
cana-3379	151	10	systematic	systematic	ADJ
cana-3379	151	11	literature	literature	PROPN
cana-3379	151	12	review	review	PROPN
cana-3379	151	13	.	.	PUNCT
cana-3379	152	1	journal	journal	PROPN
cana-3379	152	2	of	of	ADP
cana-3379	152	3	theoretical	theoretical	PROPN
cana-3379	152	4	&	&	CCONJ
cana-3379	152	5	applied	applied	ADJ
cana-3379	152	6	information	information	NOUN
cana-3379	152	7	technology	technology	NOUN
cana-3379	152	8	,	,	PUNCT
cana-3379	152	9	56(3	56(3	NUM
cana-3379	152	10	)	)	PUNCT
cana-3379	152	11	.	.	PUNCT
cana-3379	153	1	[	[	X
cana-3379	153	2	5	5	NUM
cana-3379	153	3	]	]	X
cana-3379	153	4	alam	alam	PROPN
cana-3379	153	5	,	,	PUNCT
cana-3379	153	6	m.	m.	NOUN
cana-3379	153	7	,	,	PUNCT
cana-3379	153	8	abid	abid	PROPN
cana-3379	153	9	,	,	PUNCT
cana-3379	153	10	f.	f.	PROPN
cana-3379	153	11	,	,	PUNCT
cana-3379	153	12	guangpei	guangpei	PROPN
cana-3379	153	13	,	,	PUNCT
cana-3379	153	14	c.	c.	PROPN
cana-3379	153	15	,	,	PUNCT
cana-3379	153	16	&	&	CCONJ
cana-3379	153	17	yunrong	yunrong	PROPN
cana-3379	153	18	,	,	PUNCT
cana-3379	153	19	l.	l.	PROPN
cana-3379	153	20	v.	v.	PROPN
cana-3379	153	21	(	(	PUNCT
cana-3379	153	22	2020	2020	NUM
cana-3379	153	23	)	)	PUNCT
cana-3379	153	24	.	.	PUNCT
cana-3379	154	1	social	social	ADJ
cana-3379	154	2	media	medium	NOUN
cana-3379	154	3	sentiment	sentiment	NOUN
cana-3379	154	4	analysis	analysis	NOUN
cana-3379	154	5	through	through	ADP
cana-3379	154	6	parallel	parallel	ADJ
cana-3379	154	7	dilated	dilate	VERB
cana-3379	154	8	convolutional	convolutional	ADJ
cana-3379	154	9	neural	neural	ADJ
cana-3379	154	10	network	network	NOUN
cana-3379	154	11	for	for	ADP
cana-3379	154	12	smart	smart	ADJ
cana-3379	154	13	city	city	NOUN
cana-3379	154	14	applications	application	NOUN
cana-3379	154	15	.	.	PUNCT
cana-3379	155	1	computer	computer	NOUN
cana-3379	155	2	communications	communication	NOUN
cana-3379	155	3	,	,	PUNCT
cana-3379	155	4	154	154	NUM
cana-3379	155	5	,	,	PUNCT
cana-3379	155	6	129137.https://doi.org/10.1016/j.comcom.2020.02.044	129137.https://doi.org/10.1016/j.comcom.2020.02.044	PROPN
cana-3379	156	1	[	[	X
cana-3379	156	2	6	6	NUM
cana-3379	156	3	]	]	PUNCT
cana-3379	156	4	alarifi	alarifi	NOUN
cana-3379	156	5	,	,	PUNCT
cana-3379	156	6	a.	a.	NOUN
cana-3379	156	7	,	,	PUNCT
cana-3379	156	8	tolba	tolba	PROPN
cana-3379	156	9	,	,	PUNCT
cana-3379	156	10	a.	a.	PROPN
cana-3379	156	11	,	,	PUNCT
cana-3379	156	12	al	al	PROPN
cana-3379	156	13	-	-	PUNCT
cana-3379	156	14	makhadmeh	makhadmeh	PROPN
cana-3379	156	15	,	,	PUNCT
cana-3379	156	16	z.	z.	PROPN
cana-3379	156	17	,	,	PUNCT
cana-3379	156	18	&	&	CCONJ
cana-3379	156	19	said	say	VERB
cana-3379	156	20	,	,	PUNCT
cana-3379	156	21	w.	w.	PROPN
cana-3379	156	22	(	(	PUNCT
cana-3379	156	23	2020	2020	NUM
cana-3379	156	24	)	)	PUNCT
cana-3379	156	25	.	.	PUNCT
cana-3379	157	1	a	a	DET
cana-3379	157	2	big	big	ADJ
cana-3379	157	3	data	data	NOUN
cana-3379	157	4	approach	approach	NOUN
cana-3379	157	5	to	to	ADP
cana-3379	157	6	sentiment	sentiment	NOUN
cana-3379	157	7	analysis	analysis	NOUN
cana-3379	157	8	using	use	VERB
cana-3379	157	9	greedy	greedy	ADJ
cana-3379	157	10	feature	feature	NOUN
cana-3379	157	11	selection	selection	NOUN
cana-3379	157	12	with	with	ADP
cana-3379	157	13	cat	cat	NOUN
cana-3379	157	14	swarm	swarm	NOUN
cana-3379	157	15	optimization	optimization	NOUN
cana-3379	157	16	-	-	PUNCT
cana-3379	157	17	based	base	VERB
cana-3379	157	18	long	long	ADJ
cana-3379	157	19	short	short	ADJ
cana-3379	157	20	-	-	PUNCT
cana-3379	157	21	term	term	NOUN
cana-3379	157	22	memory	memory	NOUN
cana-3379	157	23	neural	neural	ADJ
cana-3379	157	24	networks	network	NOUN
cana-3379	157	25	.	.	PUNCT
cana-3379	158	1	the	the	DET
cana-3379	158	2	journal	journal	NOUN
cana-3379	158	3	of	of	ADP
cana-3379	158	4	supercomputing	supercomputing	NOUN
cana-3379	158	5	,	,	PUNCT
cana-3379	158	6	76	76	NUM
cana-3379	158	7	,	,	PUNCT
cana-3379	158	8	4414-4429.https://doi.org/10.1007/s11227-018-2398-2	4414-4429.https://doi.org/10.1007/s11227-018-2398-2	NOUN
cana-3379	159	1	[	[	X
cana-3379	159	2	7	7	NUM
cana-3379	159	3	]	]	PUNCT
cana-3379	159	4	alexandridis	alexandridis	PROPN
cana-3379	159	5	,	,	PUNCT
cana-3379	159	6	g.	g.	PROPN
cana-3379	159	7	,	,	PUNCT
cana-3379	159	8	michalakis	michalakis	PROPN
cana-3379	159	9	,	,	PUNCT
cana-3379	159	10	k.	k.	PROPN
cana-3379	159	11	,	,	PUNCT
cana-3379	159	12	aliprantis	aliprantis	PROPN
cana-3379	159	13	,	,	PUNCT
cana-3379	159	14	j.	j.	PROPN
cana-3379	159	15	,	,	PUNCT
cana-3379	159	16	polydoras	polydora	NOUN
cana-3379	159	17	,	,	PUNCT
cana-3379	159	18	p.	p.	NOUN
cana-3379	159	19	,	,	PUNCT
cana-3379	159	20	tsantilas	tsantila	NOUN
cana-3379	159	21	,	,	PUNCT
cana-3379	159	22	p.	p.	NOUN
cana-3379	159	23	,	,	PUNCT
cana-3379	159	24	&	&	CCONJ
cana-3379	159	25	caridakis	caridakis	PROPN
cana-3379	159	26	,	,	PUNCT
cana-3379	159	27	g.	g.	PROPN
cana-3379	159	28	(	(	PUNCT
cana-3379	159	29	2020	2020	NUM
cana-3379	159	30	,	,	PUNCT
cana-3379	159	31	may	may	AUX
cana-3379	159	32	)	)	PUNCT
cana-3379	159	33	.	.	PUNCT
cana-3379	160	1	a	a	DET
cana-3379	160	2	deep	deep	ADJ
cana-3379	160	3	learning	learning	NOUN
cana-3379	160	4	approach	approach	NOUN
cana-3379	160	5	to	to	ADP
cana-3379	160	6	aspect	aspect	NOUN
cana-3379	160	7	-	-	PUNCT
cana-3379	160	8	based	base	VERB
cana-3379	160	9	sentiment	sentiment	NOUN
cana-3379	160	10	prediction	prediction	NOUN
cana-3379	160	11	.	.	PUNCT
cana-3379	161	1	in	in	ADP
cana-3379	161	2	ifip	ifip	PROPN
cana-3379	161	3	international	international	ADJ
cana-3379	161	4	conference	conference	NOUN
cana-3379	161	5	on	on	ADP
cana-3379	161	6	artificial	artificial	ADJ
cana-3379	161	7	intelligence	intelligence	NOUN
cana-3379	161	8	applications	application	NOUN
cana-3379	161	9	and	and	CCONJ
cana-3379	161	10	innovations	innovation	NOUN
cana-3379	161	11	(	(	PUNCT
cana-3379	161	12	pp	pp	ADJ
cana-3379	161	13	.	.	PUNCT
cana-3379	161	14	397	397	NUM
cana-3379	161	15	-	-	SYM
cana-3379	161	16	408	408	NUM
cana-3379	161	17	)	)	PUNCT
cana-3379	161	18	.	.	PUNCT
cana-3379	162	1	cham	cham	PROPN
cana-3379	162	2	:	:	PUNCT
cana-3379	162	3	springer	springer	NOUN
cana-3379	162	4	international	international	ADJ
cana-3379	162	5	publishing.https://doi.org/10.1007/978-3030-49161-1_33	publishing.https://doi.org/10.1007/978-3030-49161-1_33	NOUN
cana-3379	162	6	[	[	X
cana-3379	162	7	8	8	NUM
cana-3379	162	8	]	]	X
cana-3379	162	9	al	al	PROPN
cana-3379	162	10	-	-	PUNCT
cana-3379	162	11	moslmi	moslmi	PROPN
cana-3379	162	12	,	,	PUNCT
cana-3379	162	13	t.	t.	PROPN
cana-3379	162	14	,	,	PUNCT
cana-3379	162	15	omar	omar	PROPN
cana-3379	162	16	,	,	PUNCT
cana-3379	162	17	n.	n.	PROPN
cana-3379	162	18	,	,	PUNCT
cana-3379	162	19	abdullah	abdullah	PROPN
cana-3379	162	20	,	,	PUNCT
cana-3379	162	21	s.	s.	PROPN
cana-3379	162	22	,	,	PUNCT
cana-3379	162	23	&	&	CCONJ
cana-3379	162	24	albared	albared	PROPN
cana-3379	162	25	,	,	PUNCT
cana-3379	162	26	m.	m.	NOUN
cana-3379	162	27	(	(	PUNCT
cana-3379	162	28	2017	2017	NUM
cana-3379	162	29	)	)	PUNCT
cana-3379	162	30	.	.	PUNCT
cana-3379	163	1	approaches	approach	NOUN
cana-3379	163	2	to	to	ADP
cana-3379	163	3	cross	cross	ADJ
cana-3379	163	4	-	-	ADJ
cana-3379	163	5	domain	domain	ADJ
cana-3379	163	6	sentiment	sentiment	NOUN
cana-3379	163	7	analysis	analysis	NOUN
cana-3379	163	8	:	:	PUNCT
cana-3379	163	9	a	a	DET
cana-3379	163	10	systematic	systematic	ADJ
cana-3379	163	11	literature	literature	NOUN
cana-3379	163	12	review	review	NOUN
cana-3379	163	13	.	.	PUNCT
cana-3379	164	1	ieee	ieee	NOUN
cana-3379	164	2	access	access	NOUN
cana-3379	164	3	,	,	PUNCT
cana-3379	164	4	5	5	NUM
cana-3379	164	5	,	,	PUNCT
cana-3379	164	6	16173-16192.https://doi.org/10.1109/access.2017.2690342	16173-16192.https://doi.org/10.1109/access.2017.2690342	NUM
cana-3379	165	1	[	[	X
cana-3379	165	2	9	9	NUM
cana-3379	165	3	]	]	PUNCT
cana-3379	165	4	almotairi	almotairi	NOUN
cana-3379	165	5	,	,	PUNCT
cana-3379	165	6	m.	m.	NOUN
cana-3379	165	7	(	(	PUNCT
cana-3379	165	8	2009	2009	NUM
cana-3379	165	9	,	,	PUNCT
cana-3379	165	10	july	july	PROPN
cana-3379	165	11	)	)	PUNCT
cana-3379	165	12	.	.	PUNCT
cana-3379	166	1	a	a	DET
cana-3379	166	2	framework	framework	NOUN
cana-3379	166	3	for	for	ADP
cana-3379	166	4	successful	successful	ADJ
cana-3379	166	5	crm	crm	NOUN
cana-3379	166	6	implementation	implementation	NOUN
cana-3379	166	7	.	.	PUNCT
cana-3379	167	1	in	in	ADP
cana-3379	167	2	european	european	ADJ
cana-3379	167	3	and	and	CCONJ
cana-3379	167	4	mediterranean	mediterranean	PROPN
cana-3379	167	5	conference	conference	PROPN
cana-3379	167	6	on	on	ADP
cana-3379	167	7	information	information	NOUN
cana-3379	167	8	systems	system	NOUN
cana-3379	167	9	(	(	PUNCT
cana-3379	167	10	pp	pp	ADJ
cana-3379	167	11	.	.	PUNCT
cana-3379	168	1	1	1	NUM
cana-3379	168	2	-	-	SYM
cana-3379	168	3	12	12	NUM
cana-3379	168	4	)	)	PUNCT
cana-3379	168	5	.	.	PUNCT
cana-3379	169	1	[	[	X
cana-3379	169	2	10	10	NUM
cana-3379	169	3	]	]	X
cana-3379	169	4	bondielli	bondielli	PROPN
cana-3379	169	5	,	,	PUNCT
cana-3379	169	6	a.	a.	NOUN
cana-3379	169	7	,	,	PUNCT
cana-3379	169	8	&	&	CCONJ
cana-3379	169	9	marcelloni	marcelloni	PROPN
cana-3379	169	10	,	,	PUNCT
cana-3379	169	11	f.	f.	PROPN
cana-3379	169	12	(	(	PUNCT
cana-3379	169	13	2019	2019	NUM
cana-3379	169	14	)	)	PUNCT
cana-3379	169	15	.	.	PUNCT
cana-3379	170	1	a	a	DET
cana-3379	170	2	survey	survey	NOUN
cana-3379	170	3	on	on	ADP
cana-3379	170	4	fake	fake	ADJ
cana-3379	170	5	news	news	NOUN
cana-3379	170	6	and	and	CCONJ
cana-3379	170	7	rumour	rumour	NOUN
cana-3379	170	8	detection	detection	NOUN
cana-3379	170	9	techniques	technique	NOUN
cana-3379	170	10	.	.	PUNCT
cana-3379	171	1	information	information	NOUN
cana-3379	171	2	sciences	sciences	PROPN
cana-3379	171	3	,	,	PUNCT
cana-3379	171	4	497	497	NUM
cana-3379	171	5	,	,	PUNCT
cana-3379	171	6	38-55.https://doi.org/10.1016/j.ins.2019.05.035	38-55.https://doi.org/10.1016/j.ins.2019.05.035	NUM
cana-3379	171	7	[	[	X
cana-3379	171	8	11	11	NUM
cana-3379	171	9	]	]	X
cana-3379	171	10	budgen	budgen	PROPN
cana-3379	171	11	,	,	PUNCT
cana-3379	171	12	d.	d.	PROPN
cana-3379	171	13	,	,	PUNCT
cana-3379	171	14	brereton	brereton	NOUN
cana-3379	171	15	,	,	PUNCT
cana-3379	171	16	p.	p.	NOUN
cana-3379	171	17	,	,	PUNCT
cana-3379	171	18	drummond	drummond	PROPN
cana-3379	171	19	,	,	PUNCT
cana-3379	171	20	s.	s.	PROPN
cana-3379	171	21	,	,	PUNCT
cana-3379	171	22	&	&	CCONJ
cana-3379	171	23	williams	williams	PROPN
cana-3379	171	24	,	,	PUNCT
cana-3379	171	25	n.	n.	PROPN
cana-3379	171	26	(	(	PUNCT
cana-3379	171	27	2018	2018	NUM
cana-3379	171	28	)	)	PUNCT
cana-3379	171	29	.	.	PUNCT
cana-3379	172	1	reporting	report	VERB
cana-3379	172	2	systematic	systematic	ADJ
cana-3379	172	3	reviews	review	NOUN
cana-3379	172	4	:	:	PUNCT
cana-3379	172	5	some	some	DET
cana-3379	172	6	lessons	lesson	NOUN
cana-3379	172	7	from	from	ADP
cana-3379	172	8	a	a	DET
cana-3379	172	9	tertiary	tertiary	ADJ
cana-3379	172	10	study	study	NOUN
cana-3379	172	11	.	.	PUNCT
cana-3379	173	1	information	information	NOUN
cana-3379	173	2	and	and	CCONJ
cana-3379	173	3	software	software	NOUN
cana-3379	173	4	technology	technology	NOUN
cana-3379	173	5	,	,	PUNCT
cana-3379	173	6	95	95	NUM
cana-3379	173	7	,	,	PUNCT
cana-3379	173	8	62-74.https://doi.org/10.1016/j.infsof.2017.10.017	62-74.https://doi.org/10.1016/j.infsof.2017.10.017	NUM
cana-3379	174	1	[	[	X
cana-3379	174	2	12	12	NUM
cana-3379	174	3	]	]	X
cana-3379	174	4	cai	cai	X
cana-3379	174	5	,	,	PUNCT
cana-3379	174	6	y.	y.	PROPN
cana-3379	174	7	,	,	PUNCT
cana-3379	174	8	huang	huang	PROPN
cana-3379	174	9	,	,	PUNCT
cana-3379	174	10	q.	q.	PROPN
cana-3379	174	11	,	,	PUNCT
cana-3379	174	12	lin	lin	PROPN
cana-3379	174	13	,	,	PUNCT
cana-3379	174	14	z.	z.	PROPN
cana-3379	174	15	,	,	PUNCT
cana-3379	174	16	xu	xu	PROPN
cana-3379	174	17	,	,	PUNCT
cana-3379	174	18	j.	j.	PROPN
cana-3379	174	19	,	,	PUNCT
cana-3379	174	20	chen	chen	PROPN
cana-3379	174	21	,	,	PUNCT
cana-3379	174	22	z.	z.	PROPN
cana-3379	174	23	,	,	PUNCT
cana-3379	174	24	&	&	CCONJ
cana-3379	174	25	li	li	PROPN
cana-3379	174	26	,	,	PUNCT
cana-3379	174	27	q.	q.	PROPN
cana-3379	174	28	(	(	PUNCT
cana-3379	174	29	2020	2020	NUM
cana-3379	174	30	)	)	PUNCT
cana-3379	174	31	.	.	PUNCT
cana-3379	175	1	recurrent	recurrent	ADJ
cana-3379	175	2	neural	neural	ADJ
cana-3379	175	3	network	network	NOUN
cana-3379	175	4	with	with	ADP
cana-3379	175	5	pooling	pool	VERB
cana-3379	175	6	operation	operation	NOUN
cana-3379	175	7	and	and	CCONJ
cana-3379	175	8	attention	attention	NOUN
cana-3379	175	9	mechanism	mechanism	NOUN
cana-3379	175	10	for	for	ADP
cana-3379	175	11	sentiment	sentiment	NOUN
cana-3379	175	12	analysis	analysis	NOUN
cana-3379	175	13	:	:	PUNCT
cana-3379	175	14	a	a	DET
cana-3379	175	15	multi	multi	ADJ
cana-3379	175	16	-	-	ADJ
cana-3379	175	17	task	task	ADJ
cana-3379	175	18	learning	learning	NOUN
cana-3379	175	19	approach	approach	NOUN
cana-3379	175	20	.	.	PUNCT
cana-3379	176	1	knowledge	knowledge	NOUN
cana-3379	176	2	-	-	PUNCT
cana-3379	176	3	based	base	VERB
cana-3379	176	4	systems	system	NOUN
cana-3379	176	5	,	,	PUNCT
cana-3379	176	6	203	203	NUM
cana-3379	176	7	,	,	PUNCT
cana-3379	176	8	105856.https://doi.org/10.1016/j.knosys.2020.105856	105856.https://doi.org/10.1016/j.knosys.2020.105856	NUM
cana-3379	177	1	[	[	X
cana-3379	177	2	13	13	NUM
cana-3379	177	3	]	]	X
cana-3379	177	4	cambria	cambria	PROPN
cana-3379	177	5	,	,	PUNCT
cana-3379	177	6	e.	e.	PROPN
cana-3379	177	7	,	,	PUNCT
cana-3379	177	8	das	das	PROPN
cana-3379	177	9	,	,	PUNCT
cana-3379	177	10	d.	d.	PROPN
cana-3379	177	11	,	,	PUNCT
cana-3379	177	12	bandyopadhyay	bandyopadhyay	NOUN
cana-3379	177	13	,	,	PUNCT
cana-3379	177	14	s.	s.	PROPN
cana-3379	177	15	,	,	PUNCT
cana-3379	177	16	&	&	CCONJ
cana-3379	177	17	feraco	feraco	PROPN
cana-3379	177	18	,	,	PUNCT
cana-3379	177	19	a.	a.	NOUN
cana-3379	177	20	(	(	PUNCT
cana-3379	177	21	2017	2017	NUM
cana-3379	177	22	)	)	PUNCT
cana-3379	177	23	.	.	PUNCT
cana-3379	178	1	affective	affective	ADJ
cana-3379	178	2	computing	computing	NOUN
cana-3379	178	3	and	and	CCONJ
cana-3379	178	4	sentiment	sentiment	NOUN
cana-3379	178	5	analysis	analysis	NOUN
cana-3379	178	6	.	.	PUNCT
cana-3379	179	1	a	a	DET
cana-3379	179	2	practical	practical	ADJ
cana-3379	179	3	guide	guide	NOUN
cana-3379	179	4	to	to	PART
cana-3379	179	5	sentiment	sentiment	NOUN
cana-3379	179	6	analysis	analysis	NOUN
cana-3379	179	7	,	,	PUNCT
cana-3379	179	8	1-10.https://doi.org/10.1007/978-3-319-55394-8_1	1-10.https://doi.org/10.1007/978-3-319-55394-8_1	PROPN
cana-3379	179	9	[	[	X
cana-3379	179	10	14	14	NUM
cana-3379	179	11	]	]	X
cana-3379	179	12	cambria	cambria	PROPN
cana-3379	179	13	,	,	PUNCT
cana-3379	179	14	e.	e.	PROPN
cana-3379	179	15	,	,	PUNCT
cana-3379	179	16	hussain	hussain	PROPN
cana-3379	179	17	,	,	PUNCT
cana-3379	179	18	a.	a.	NOUN
cana-3379	179	19	,	,	PUNCT
cana-3379	179	20	havasi	havasi	NOUN
cana-3379	179	21	,	,	PUNCT
cana-3379	179	22	c.	c.	PROPN
cana-3379	179	23	,	,	PUNCT
cana-3379	179	24	&	&	CCONJ
cana-3379	179	25	eckl	eckl	NOUN
cana-3379	179	26	,	,	PUNCT
cana-3379	179	27	c.	c.	PROPN
cana-3379	179	28	(	(	PUNCT
cana-3379	179	29	2009	2009	NUM
cana-3379	179	30	)	)	PUNCT
cana-3379	179	31	.	.	PUNCT
cana-3379	180	1	common	common	ADJ
cana-3379	180	2	sense	sense	NOUN
cana-3379	180	3	computing	computing	NOUN
cana-3379	180	4	:	:	PUNCT
cana-3379	180	5	from	from	ADP
cana-3379	180	6	the	the	DET
cana-3379	180	7	society	society	NOUN
cana-3379	180	8	of	of	ADP
cana-3379	180	9	mind	mind	NOUN
cana-3379	180	10	to	to	ADP
cana-3379	180	11	digital	digital	ADJ
cana-3379	180	12	intuition	intuition	NOUN
cana-3379	180	13	and	and	CCONJ
cana-3379	180	14	beyond	beyond	ADP
cana-3379	180	15	.	.	PUNCT
cana-3379	181	1	in	in	ADP
cana-3379	181	2	biometric	biometric	PROPN
cana-3379	181	3	i	i	PROPN
cana-3379	181	4	d	d	PROPN
cana-3379	181	5	management	management	NOUN
cana-3379	181	6	and	and	CCONJ
cana-3379	181	7	multimodal	multimodal	NOUN
cana-3379	181	8	communication	communication	NOUN
cana-3379	181	9	:	:	PUNCT
cana-3379	181	10	joint	joint	ADJ
cana-3379	181	11	cost	cost	NOUN
cana-3379	181	12	2101	2101	NUM
cana-3379	181	13	and	and	CCONJ
cana-3379	181	14	2102	2102	NUM
cana-3379	181	15	international	international	ADJ
cana-3379	181	16	conference	conference	NOUN
cana-3379	181	17	,	,	PUNCT
cana-3379	181	18	bioid_multicomm	bioid_multicomm	NOUN
cana-3379	181	19	2009	2009	NUM
cana-3379	181	20	,	,	PUNCT
cana-3379	181	21	madrid	madrid	PROPN
cana-3379	181	22	,	,	PUNCT
cana-3379	181	23	spain	spain	PROPN
cana-3379	181	24	,	,	PUNCT
cana-3379	181	25	september	september	PROPN
cana-3379	181	26	16	16	NUM
cana-3379	181	27	-	-	SYM
cana-3379	181	28	18	18	NUM
cana-3379	181	29	,	,	PUNCT
cana-3379	181	30	2009	2009	NUM
cana-3379	181	31	.	.	PUNCT
cana-3379	182	1	proceedings	proceeding	NOUN
cana-3379	182	2	2	2	NUM
cana-3379	182	3	(	(	PUNCT
cana-3379	182	4	pp	pp	ADJ
cana-3379	182	5	.	.	PUNCT
cana-3379	183	1	252	252	NUM
cana-3379	183	2	-	-	SYM
cana-3379	183	3	259	259	NUM
cana-3379	183	4	)	)	PUNCT
cana-3379	183	5	.	.	PUNCT
cana-3379	184	1	springer	springer	PROPN
cana-3379	184	2	berlin	berlin	PROPN
cana-3379	184	3	heidelberg.https://doi.org/10.1007/978-3-642-04391-8_33	heidelberg.https://doi.org/10.1007/978-3-642-04391-8_33	PROPN
cana-3379	184	4	[	[	X
cana-3379	184	5	15	15	NUM
cana-3379	184	6	]	]	X
cana-3379	184	7	cambria	cambria	PROPN
cana-3379	184	8	,	,	PUNCT
cana-3379	184	9	e.	e.	PROPN
cana-3379	184	10	,	,	PUNCT
cana-3379	184	11	poria	poria	PROPN
cana-3379	184	12	,	,	PUNCT
cana-3379	184	13	s.	s.	PROPN
cana-3379	184	14	,	,	PUNCT
cana-3379	184	15	gelbukh	gelbukh	PROPN
cana-3379	184	16	,	,	PUNCT
cana-3379	184	17	a.	a.	PROPN
cana-3379	184	18	,	,	PUNCT
cana-3379	184	19	&	&	CCONJ
cana-3379	184	20	thelwall	thelwall	PROPN
cana-3379	184	21	,	,	PUNCT
cana-3379	184	22	m.	m.	NOUN
cana-3379	184	23	(	(	PUNCT
cana-3379	184	24	2017	2017	NUM
cana-3379	184	25	)	)	PUNCT
cana-3379	184	26	.	.	PUNCT
cana-3379	185	1	sentiment	sentiment	NOUN
cana-3379	185	2	analysis	analysis	NOUN
cana-3379	185	3	is	be	AUX
cana-3379	185	4	a	a	DET
cana-3379	185	5	big	big	ADJ
cana-3379	185	6	suitcase	suitcase	NOUN
cana-3379	185	7	.	.	PUNCT
cana-3379	186	1	ieee	ieee	NOUN
cana-3379	186	2	intelligent	intelligent	ADJ
cana-3379	186	3	systems	system	NOUN
cana-3379	186	4	,	,	PUNCT
cana-3379	186	5	32(6	32(6	NUM
cana-3379	186	6	)	)	PUNCT
cana-3379	186	7	,	,	PUNCT
cana-3379	187	1	74-80.https://doi.org/10.1109/mis.2017.4531228	74-80.https://doi.org/10.1109/mis.2017.4531228	PROPN
cana-3379	187	2	[	[	X
cana-3379	187	3	16	16	NUM
cana-3379	187	4	]	]	X
cana-3379	187	5	cambria	cambria	PROPN
cana-3379	187	6	,	,	PUNCT
cana-3379	187	7	e.	e.	PROPN
cana-3379	187	8	,	,	PUNCT
cana-3379	187	9	li	li	PROPN
cana-3379	187	10	,	,	PUNCT
cana-3379	187	11	y.	y.	PROPN
cana-3379	187	12	,	,	PUNCT
cana-3379	187	13	xing	xing	PROPN
cana-3379	187	14	,	,	PUNCT
cana-3379	187	15	f.	f.	PROPN
cana-3379	187	16	z.	z.	PROPN
cana-3379	187	17	,	,	PUNCT
cana-3379	187	18	poria	poria	PROPN
cana-3379	187	19	,	,	PUNCT
cana-3379	187	20	s.	s.	PROPN
cana-3379	187	21	,	,	PUNCT
cana-3379	187	22	&	&	CCONJ
cana-3379	187	23	kwok	kwok	PROPN
cana-3379	187	24	,	,	PUNCT
cana-3379	187	25	k.	k.	PROPN
cana-3379	187	26	(	(	PUNCT
cana-3379	187	27	2020	2020	NUM
cana-3379	187	28	,	,	PUNCT
cana-3379	187	29	october	october	PROPN
cana-3379	187	30	)	)	PUNCT
cana-3379	187	31	.	.	PUNCT
cana-3379	188	1	senticnet	senticnet	NOUN
cana-3379	188	2	6	6	NUM
cana-3379	188	3	:	:	PUNCT
cana-3379	188	4	ensemble	ensemble	ADJ
cana-3379	188	5	application	application	NOUN
cana-3379	188	6	of	of	ADP
cana-3379	188	7	symbolic	symbolic	ADJ
cana-3379	188	8	and	and	CCONJ
cana-3379	188	9	subsymbolic	subsymbolic	NOUN
cana-3379	188	10	ai	ai	VERB
cana-3379	188	11	for	for	ADP
cana-3379	188	12	sentiment	sentiment	NOUN
cana-3379	188	13	analysis	analysis	NOUN
cana-3379	188	14	.	.	PUNCT
cana-3379	189	1	in	in	ADP
cana-3379	189	2	proceedings	proceeding	NOUN
cana-3379	189	3	of	of	ADP
cana-3379	189	4	the	the	DET
cana-3379	189	5	29th	29th	ADJ
cana-3379	189	6	acm	acm	PROPN
cana-3379	189	7	international	international	ADJ
cana-3379	189	8	conference	conference	NOUN
cana-3379	189	9	on	on	ADP
cana-3379	189	10	information	information	NOUN
cana-3379	189	11	&	&	CCONJ
cana-3379	189	12	knowledge	knowledge	NOUN
cana-3379	189	13	management(pp.105114).https://doi.org/10.1145/3340531.3412003	management(pp.105114).https://doi.org/10.1145/3340531.3412003	PROPN
cana-3379	189	14	[	[	X
cana-3379	189	15	17	17	NUM
cana-3379	189	16	]	]	X
cana-3379	189	17	can	can	AUX
cana-3379	189	18	,	,	PUNCT
cana-3379	189	19	e.	e.	PROPN
cana-3379	189	20	f.	f.	PROPN
cana-3379	189	21	,	,	PUNCT
cana-3379	189	22	ezen	ezen	PROPN
cana-3379	189	23	-	-	PUNCT
cana-3379	189	24	can	can	PROPN
cana-3379	189	25	,	,	PUNCT
cana-3379	189	26	a.	a.	NOUN
cana-3379	189	27	,	,	PUNCT
cana-3379	189	28	&	&	CCONJ
cana-3379	189	29	can	can	AUX
cana-3379	189	30	,	,	PUNCT
cana-3379	189	31	f.	f.	PROPN
cana-3379	189	32	(	(	PUNCT
cana-3379	189	33	2018	2018	NUM
cana-3379	189	34	)	)	PUNCT
cana-3379	189	35	.	.	PUNCT
cana-3379	190	1	multilingual	multilingual	ADJ
cana-3379	190	2	sentiment	sentiment	NOUN
cana-3379	190	3	analysis	analysis	NOUN
cana-3379	190	4	:	:	PUNCT
cana-3379	190	5	an	an	DET
cana-3379	190	6	rnn	rnn	NOUN
cana-3379	190	7	-	-	PUNCT
cana-3379	190	8	based	base	VERB
cana-3379	190	9	framework	framework	NOUN
cana-3379	190	10	for	for	ADP
cana-3379	190	11	limited	limited	ADJ
cana-3379	190	12	data	datum	NOUN
cana-3379	190	13	.	.	PUNCT
cana-3379	191	1	arxiv	arxiv	PROPN
cana-3379	191	2	preprint	preprint	VERB
cana-3379	191	3	arxiv:1806.04511.https://doi.org/10.48550	arxiv:1806.04511.https://doi.org/10.48550	PROPN
cana-3379	191	4	/	/	SYM
cana-3379	191	5	arxiv.1806.04511	arxiv.1806.04511	PROPN
cana-3379	192	1	[	[	X
cana-3379	192	2	18	18	NUM
cana-3379	192	3	]	]	X
cana-3379	192	4	catal	catal	PROPN
cana-3379	192	5	c	c	PROPN
cana-3379	192	6	,	,	PUNCT
cana-3379	192	7	mishra	mishra	PROPN
cana-3379	192	8	d	d	PROPN
cana-3379	192	9	(	(	PUNCT
cana-3379	192	10	2013	2013	NUM
cana-3379	192	11	)	)	PUNCT
cana-3379	192	12	test	test	NOUN
cana-3379	192	13	case	case	NOUN
cana-3379	192	14	prioritization	prioritization	NOUN
cana-3379	192	15	:	:	PUNCT
cana-3379	192	16	a	a	DET
cana-3379	192	17	systematic	systematic	ADJ
cana-3379	192	18	mapping	mapping	NOUN
cana-3379	192	19	study	study	NOUN
cana-3379	192	20	.	.	PUNCT
cana-3379	193	1	softwqual	softwqual	ADJ
cana-3379	193	2	j	j	PROPN
cana-3379	193	3	21(3):445–478	21(3):445–478	PROPN
cana-3379	193	4	chandra	chandra	PROPN
cana-3379	193	5	y	y	PROPN
cana-3379	193	6	,	,	PUNCT
cana-3379	193	7	jana	jana	PROPN
cana-3379	193	8	a	a	DET
cana-3379	193	9	(	(	PUNCT
cana-3379	193	10	2020	2020	NUM
cana-3379	193	11	)	)	PUNCT
cana-3379	193	12	sentiment	sentiment	NOUN
cana-3379	193	13	analysis	analysis	NOUN
cana-3379	193	14	using	use	VERB
cana-3379	193	15	machine	machine	NOUN
cana-3379	193	16	learning	learning	NOUN
cana-3379	193	17	and	and	CCONJ
cana-3379	193	18	deep	deep	ADJ
cana-3379	193	19	learning	learning	NOUN
cana-3379	193	20	.	.	PUNCT
cana-3379	194	1	in	in	ADP
cana-3379	194	2	:	:	PUNCT
cana-3379	194	3	2020	2020	NUM
cana-3379	194	4	7th	7th	ADJ
cana-3379	194	5	international	international	ADJ
cana-3379	194	6	conference	conference	NOUN
cana-3379	194	7	https://doi.org/10.1016/j.comcom.2020.04.002	https://doi.org/10.1016/j.comcom.2020.04.002	NOUN
cana-3379	194	8	https://doi.org/10.1016/j.comcom.2020.02.044	https://doi.org/10.1016/j.comcom.2020.02.044	PROPN
cana-3379	194	9	https://doi.org/10.1007/s11227-018-2398-2	https://doi.org/10.1007/s11227-018-2398-2	X
cana-3379	194	10	https://doi.org/10.1007/978-3-030-49161-1_33	https://doi.org/10.1007/978-3-030-49161-1_33	PUNCT
cana-3379	194	11	https://doi.org/10.1007/978-3-030-49161-1_33	https://doi.org/10.1007/978-3-030-49161-1_33	PROPN
cana-3379	194	12	https://doi.org/10.1109/access.2017.2690342	https://doi.org/10.1109/access.2017.2690342	PROPN
cana-3379	194	13	https://doi.org/10.1016/j.ins.2019.05.035	https://doi.org/10.1016/j.ins.2019.05.035	PROPN
cana-3379	194	14	https://doi.org/10.1016/j.infsof.2017.10.017	https://doi.org/10.1016/j.infsof.2017.10.017	PROPN
cana-3379	194	15	https://doi.org/10.1016/j.knosys.2020.105856	https://doi.org/10.1016/j.knosys.2020.105856	PROPN
cana-3379	194	16	https://doi.org/10.1007/978-3-319-55394-8_1	https://doi.org/10.1007/978-3-319-55394-8_1	NOUN
cana-3379	194	17	https://doi.org/10.1007/978-3-642-04391-8_33	https://doi.org/10.1007/978-3-642-04391-8_33	PROPN
cana-3379	194	18	https://doi.org/10.1109/mis.2017.4531228	https://doi.org/10.1109/mis.2017.4531228	PROPN
cana-3379	194	19	https://doi.org/10.1145/3340531.3412003	https://doi.org/10.1145/3340531.3412003	NOUN
cana-3379	194	20	https://doi.org/10.48550/arxiv.1806.04511	https://doi.org/10.48550/arxiv.1806.04511	PROPN
cana-3379	194	21	communications	communication	NOUN
cana-3379	194	22	on	on	ADP
cana-3379	194	23	applied	apply	VERB
cana-3379	194	24	nonlinear	nonlinear	ADJ
cana-3379	194	25	analysis	analysis	NOUN
cana-3379	194	26	issn	issn	NOUN
cana-3379	194	27	:	:	PUNCT
cana-3379	194	28	1074	1074	NUM
cana-3379	194	29	-	-	PUNCT
cana-3379	194	30	133x	133x	NUM
cana-3379	194	31	vol	vol	NOUN
cana-3379	194	32	32	32	NUM
cana-3379	194	33	no	no	NOUN
cana-3379	194	34	.	.	PUNCT
cana-3379	195	1	7s	7	NOUN
cana-3379	195	2	(	(	PUNCT
cana-3379	195	3	2025	2025	NUM
cana-3379	195	4	)	)	PUNCT
cana-3379	195	5	229	229	NUM
cana-3379	195	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3379	195	7	on	on	ADP
cana-3379	195	8	computing	compute	VERB
cana-3379	195	9	for	for	ADP
cana-3379	195	10	sustainable	sustainable	ADJ
cana-3379	195	11	global	global	ADJ
cana-3379	195	12	development	development	NOUN
cana-3379	195	13	(	(	PUNCT
cana-3379	195	14	indiacom	indiacom	NOUN
cana-3379	195	15	)	)	PUNCT
cana-3379	195	16	.	.	PUNCT
cana-3379	196	1	ieee	ieee	PROPN
cana-3379	196	2	,	,	PUNCT
cana-3379	196	3	pp	pp	ADV
cana-3379	196	4	.	.	PUNCT
cana-3379	197	1	1–4	1–4	PROPN
cana-3379	197	2	chapelle	chapelle	PROPN
cana-3379	197	3	o	o	PROPN
cana-3379	197	4	,	,	PUNCT
cana-3379	197	5	zien	zien	PROPN
cana-3379	197	6	a	a	PRON
cana-3379	197	7	(	(	PUNCT
cana-3379	197	8	2005	2005	NUM
cana-3379	197	9	)	)	PUNCT
cana-3379	197	10	semisupervised	semisupervise	VERB
cana-3379	197	11	classification	classification	NOUN
cana-3379	197	12	by	by	ADP
cana-3379	197	13	low	low	ADJ
cana-3379	197	14	density	density	NOUN
cana-3379	197	15	separation	separation	NOUN
cana-3379	197	16	.	.	PUNCT
cana-3379	198	1	in	in	ADP
cana-3379	198	2	:	:	PUNCT
cana-3379	198	3	aistats	aistat	NOUN
cana-3379	198	4	vol	vol	NOUN
cana-3379	198	5	2005	2005	NUM
cana-3379	198	6	,	,	PUNCT
cana-3379	198	7	pp	pp	ADV
cana-3379	198	8	57–64https://doi.org/10.1007	57–64https://doi.org/10.1007	NUM
cana-3379	198	9	/	/	SYM
cana-3379	198	10	s11219012	s11219012	NOUN
cana-3379	198	11	-	-	PUNCT
cana-3379	198	12	9181	9181	NUM
cana-3379	198	13	-	-	PUNCT
cana-3379	198	14	z	z	NOUN
cana-3379	199	1	[	[	X
cana-3379	199	2	19	19	NUM
cana-3379	199	3	]	]	X
cana-3379	199	4	che	che	X
cana-3379	199	5	,	,	PUNCT
cana-3379	199	6	s.	s.	PROPN
cana-3379	199	7	,	,	PUNCT
cana-3379	199	8	li	li	PROPN
cana-3379	199	9	,	,	PUNCT
cana-3379	199	10	x.	x.	PROPN
cana-3379	199	11	retracted	retracted	ADJ
cana-3379	199	12	article	article	NOUN
cana-3379	199	13	:	:	PUNCT
cana-3379	199	14	hci	hci	NOUN
cana-3379	199	15	with	with	ADP
cana-3379	199	16	deep	deep	ADJ
cana-3379	199	17	learning	learning	NOUN
cana-3379	199	18	for	for	ADP
cana-3379	199	19	sentiment	sentiment	NOUN
cana-3379	199	20	analysis	analysis	NOUN
cana-3379	199	21	of	of	ADP
cana-3379	199	22	corporate	corporate	ADJ
cana-3379	199	23	social	social	ADJ
cana-3379	199	24	responsibility	responsibility	NOUN
cana-3379	199	25	report	report	NOUN
cana-3379	199	26	.	.	PUNCT
cana-3379	200	1	currpsychol	currpsychol	PROPN
cana-3379	200	2	41	41	NUM
cana-3379	200	3	,	,	PUNCT
cana-3379	200	4	3298	3298	NUM
cana-3379	200	5	(	(	PUNCT
cana-3379	200	6	2022	2022	NUM
cana-3379	200	7	)	)	PUNCT
cana-3379	200	8	.	.	PUNCT
cana-3379	201	1	https://doi.org/10.1007/s12144-020-00789-y	https://doi.org/10.1007/s12144-020-00789-y	PROPN
cana-3379	202	1	[	[	X
cana-3379	202	2	20	20	NUM
cana-3379	202	3	]	]	X
cana-3379	202	4	chen	chen	PROPN
cana-3379	202	5	,	,	PUNCT
cana-3379	202	6	i.	i.	PROPN
cana-3379	202	7	j.	j.	PROPN
cana-3379	202	8	(	(	PUNCT
cana-3379	202	9	2003	2003	NUM
cana-3379	202	10	)	)	PUNCT
cana-3379	202	11	.	.	PUNCT
cana-3379	203	1	i	i	PRON
cana-3379	203	2	popovich	popovich	PROPN
cana-3379	203	3	,	,	PUNCT
cana-3379	203	4	k.	k.	PROPN
cana-3379	203	5	,(2003	,(2003	PROPN
cana-3379	203	6	)	)	PUNCT
cana-3379	203	7	.	.	PUNCT
cana-3379	204	1	understanding	understand	VERB
cana-3379	204	2	customer	customer	NOUN
cana-3379	204	3	relationship	relationship	NOUN
cana-3379	204	4	management	management	NOUN
cana-3379	204	5	(	(	PUNCT
cana-3379	204	6	crm	crm	PROPN
cana-3379	204	7	):	):	PUNCT
cana-3379	204	8	people	people	NOUN
cana-3379	204	9	,	,	PUNCT
cana-3379	204	10	process	process	NOUN
cana-3379	204	11	and	and	CCONJ
cana-3379	204	12	technology	technology	NOUN
cana-3379	204	13	.	.	PUNCT
cana-3379	205	1	business	business	NOUN
cana-3379	205	2	process	process	NOUN
cana-3379	205	3	management	management	NOUN
cana-3379	205	4	journal	journal	NOUN
cana-3379	205	5	,	,	PUNCT
cana-3379	205	6	9(5	9(5	NUM
cana-3379	205	7	)	)	PUNCT
cana-3379	205	8	,	,	PUNCT
cana-3379	205	9	672	672	NUM
cana-3379	205	10	-	-	SYM
cana-3379	205	11	688	688	NUM
cana-3379	205	12	.	.	PUNCT
cana-3379	206	1	[	[	X
cana-3379	206	2	21	21	NUM
cana-3379	206	3	]	]	X
cana-3379	206	4	chenl	chenl	NOUN
cana-3379	206	5	,	,	PUNCT
cana-3379	206	6	c.	c.	PROPN
cana-3379	206	7	,	,	PUNCT
cana-3379	206	8	&	&	CCONJ
cana-3379	206	9	wang	wang	PROPN
cana-3379	206	10	,	,	PUNCT
cana-3379	206	11	f.	f.	PROPN
cana-3379	206	12	(	(	PUNCT
cana-3379	206	13	2015	2015	NUM
cana-3379	206	14	)	)	PUNCT
cana-3379	206	15	.	.	PUNCT
cana-3379	207	1	recommender	recommender	NOUN
cana-3379	207	2	systems	system	NOUN
cana-3379	207	3	based	base	VERB
cana-3379	207	4	on	on	ADP
cana-3379	207	5	user	user	NOUN
cana-3379	207	6	reviews	review	VERB
cana-3379	207	7	the	the	DET
cana-3379	207	8	state	state	NOUN
cana-3379	207	9	of	of	ADP
cana-3379	207	10	the	the	DET
cana-3379	207	11	art	art	NOUN
cana-3379	207	12	.	.	PUNCT
cana-3379	208	1	user	user	NOUN
cana-3379	208	2	modeling	modeling	NOUN
cana-3379	208	3	and	and	CCONJ
cana-3379	208	4	user	user	NOUN
cana-3379	208	5	-	-	PUNCT
cana-3379	208	6	adapted	adapt	VERB
cana-3379	208	7	interaction	interaction	NOUN
cana-3379	208	8	,	,	PUNCT
cana-3379	208	9	25	25	NUM
cana-3379	208	10	,	,	PUNCT
cana-3379	208	11	99	99	NUM
cana-3379	208	12	-	-	SYM
cana-3379	208	13	154	154	NUM
cana-3379	208	14	.	.	PUNCT
cana-3379	209	1	[	[	X
cana-3379	209	2	22	22	NUM
cana-3379	209	3	]	]	X
cana-3379	209	4	de	de	PROPN
cana-3379	209	5	oliveira	oliveira	PROPN
cana-3379	209	6	lima	lima	PROPN
cana-3379	209	7	,	,	PUNCT
cana-3379	209	8	t.	t.	PROPN
cana-3379	209	9	,	,	PUNCT
cana-3379	209	10	colaco	colaco	PROPN
cana-3379	209	11	junior	junior	PROPN
cana-3379	209	12	,	,	PUNCT
cana-3379	209	13	m.	m.	NOUN
cana-3379	209	14	,	,	PUNCT
cana-3379	209	15	&	&	CCONJ
cana-3379	209	16	nunes	nune	NOUN
cana-3379	209	17	,	,	PUNCT
cana-3379	209	18	m.	m.	NOUN
cana-3379	209	19	a.	a.	PROPN
cana-3379	209	20	s.	s.	PROPN
cana-3379	209	21	(	(	PUNCT
cana-3379	209	22	2018	2018	NUM
cana-3379	209	23	)	)	PUNCT
cana-3379	209	24	.	.	PUNCT
cana-3379	210	1	mining	mine	VERB
cana-3379	210	2	on	on	ADP
cana-3379	210	3	line	line	NOUN
cana-3379	210	4	general	general	ADJ
cana-3379	210	5	opinions	opinion	NOUN
cana-3379	210	6	about	about	ADP
cana-3379	210	7	sustainability	sustainability	NOUN
cana-3379	210	8	of	of	ADP
cana-3379	210	9	hotels	hotel	NOUN
cana-3379	210	10	:	:	PUNCT
cana-3379	210	11	a	a	DET
cana-3379	210	12	systematic	systematic	ADJ
cana-3379	210	13	literature	literature	NOUN
cana-3379	210	14	mapping	mapping	NOUN
cana-3379	210	15	.	.	PUNCT
cana-3379	211	1	in	in	ADP
cana-3379	211	2	computational	computational	ADJ
cana-3379	211	3	science	science	NOUN
cana-3379	211	4	and	and	CCONJ
cana-3379	211	5	its	its	PRON
cana-3379	211	6	applications	application	NOUN
cana-3379	211	7	–	–	PUNCT
cana-3379	211	8	iccsa	iccsa	VERB
cana-3379	211	9	2018	2018	NUM
cana-3379	211	10	:	:	PUNCT
cana-3379	211	11	18th	18th	ADJ
cana-3379	211	12	international	international	ADJ
cana-3379	211	13	conference	conference	NOUN
cana-3379	211	14	,	,	PUNCT
cana-3379	211	15	melbourne	melbourne	PROPN
cana-3379	211	16	,	,	PUNCT
cana-3379	211	17	vic	vic	PROPN
cana-3379	211	18	,	,	PUNCT
cana-3379	211	19	australia	australia	PROPN
cana-3379	211	20	,	,	PUNCT
cana-3379	211	21	july	july	PROPN
cana-3379	211	22	2	2	NUM
cana-3379	211	23	-	-	SYM
cana-3379	211	24	5	5	NUM
cana-3379	211	25	,	,	PUNCT
cana-3379	211	26	2018	2018	NUM
cana-3379	211	27	,	,	PUNCT
cana-3379	211	28	proceedings	proceeding	NOUN
cana-3379	211	29	,	,	PUNCT
cana-3379	211	30	part	part	NOUN
cana-3379	211	31	i	i	PRON
cana-3379	211	32	18	18	NUM
cana-3379	211	33	(	(	PUNCT
cana-3379	211	34	pp	pp	ADJ
cana-3379	211	35	.	.	PUNCT
cana-3379	212	1	558	558	NUM
cana-3379	212	2	-	-	SYM
cana-3379	212	3	574	574	NUM
cana-3379	212	4	)	)	PUNCT
cana-3379	212	5	.	.	PUNCT
cana-3379	213	1	springer	springer	NOUN
cana-3379	213	2	international	international	PROPN
cana-3379	213	3	publishing.https://doi.org/10.1007/978-3-319-95162-1_38	publishing.https://doi.org/10.1007/978-3-319-95162-1_38	PROPN
cana-3379	213	4	[	[	X
cana-3379	213	5	23	23	NUM
cana-3379	213	6	]	]	X
cana-3379	213	7	dessí	dessí	PROPN
cana-3379	213	8	,	,	PUNCT
cana-3379	213	9	d.	d.	PROPN
cana-3379	213	10	,	,	PUNCT
cana-3379	213	11	dragoni	dragoni	ADJ
cana-3379	213	12	,	,	PUNCT
cana-3379	213	13	m.	m.	NOUN
cana-3379	213	14	,	,	PUNCT
cana-3379	213	15	fenu	fenu	PROPN
cana-3379	213	16	,	,	PUNCT
cana-3379	213	17	g.	g.	PROPN
cana-3379	213	18	,	,	PUNCT
cana-3379	213	19	marras	marras	PROPN
cana-3379	213	20	,	,	PUNCT
cana-3379	213	21	m.	m.	NOUN
cana-3379	213	22	,	,	PUNCT
cana-3379	213	23	&	&	CCONJ
cana-3379	213	24	reforgiatorecupero	reforgiatorecupero	PROPN
cana-3379	213	25	,	,	PUNCT
cana-3379	213	26	d.	d.	PROPN
cana-3379	213	27	(	(	PUNCT
cana-3379	213	28	2020	2020	NUM
cana-3379	213	29	)	)	PUNCT
cana-3379	213	30	.	.	PUNCT
cana-3379	214	1	deep	deep	ADJ
cana-3379	214	2	learning	learning	NOUN
cana-3379	214	3	adaptation	adaptation	NOUN
cana-3379	214	4	with	with	ADP
cana-3379	214	5	word	word	NOUN
cana-3379	214	6	embeddings	embedding	NOUN
cana-3379	214	7	for	for	ADP
cana-3379	214	8	sentiment	sentiment	NOUN
cana-3379	214	9	analysis	analysis	NOUN
cana-3379	214	10	on	on	ADP
cana-3379	214	11	online	online	ADJ
cana-3379	214	12	course	course	NOUN
cana-3379	214	13	reviews	review	NOUN
cana-3379	214	14	.	.	PUNCT
cana-3379	215	1	deep	deep	ADJ
cana-3379	215	2	learning	learning	NOUN
cana-3379	215	3	-	-	PUNCT
cana-3379	215	4	based	base	VERB
cana-3379	215	5	approaches	approach	NOUN
cana-3379	215	6	for	for	ADP
cana-3379	215	7	sentiment	sentiment	NOUN
cana-3379	215	8	analysis	analysis	NOUN
cana-3379	215	9	,	,	PUNCT
cana-3379	215	10	57-83.https://doi.org/10.1007/978-981-15-1216-2_3	57-83.https://doi.org/10.1007/978-981-15-1216-2_3	PROPN
cana-3379	216	1	[	[	X
cana-3379	216	2	24	24	NUM
cana-3379	216	3	]	]	PUNCT
cana-3379	216	4	devlin	devlin	PROPN
cana-3379	216	5	,	,	PUNCT
cana-3379	216	6	j.	j.	PROPN
cana-3379	216	7	,	,	PUNCT
cana-3379	216	8	chang	chang	PROPN
cana-3379	216	9	,	,	PUNCT
cana-3379	216	10	m.	m.	PROPN
cana-3379	216	11	w.	w.	PROPN
cana-3379	216	12	,	,	PUNCT
cana-3379	216	13	lee	lee	PROPN
cana-3379	216	14	,	,	PUNCT
cana-3379	216	15	k.	k.	PROPN
cana-3379	216	16	,	,	PUNCT
cana-3379	216	17	&	&	CCONJ
cana-3379	216	18	toutanova	toutanova	PROPN
cana-3379	216	19	,	,	PUNCT
cana-3379	216	20	k.	k.	PROPN
cana-3379	216	21	(	(	PUNCT
cana-3379	216	22	2018	2018	NUM
cana-3379	216	23	)	)	PUNCT
cana-3379	216	24	.	.	PUNCT
cana-3379	217	1	bert	bert	PROPN
cana-3379	217	2	:	:	PUNCT
cana-3379	217	3	pre	pre	ADJ
cana-3379	217	4	-	-	NOUN
cana-3379	217	5	training	training	NOUN
cana-3379	217	6	of	of	ADP
cana-3379	217	7	deep	deep	ADJ
cana-3379	217	8	bidirectional	bidirectional	ADJ
cana-3379	217	9	transformers	transformer	NOUN
cana-3379	217	10	for	for	ADP
cana-3379	217	11	language	language	NOUN
cana-3379	217	12	understanding	understanding	NOUN
cana-3379	217	13	.	.	PUNCT
cana-3379	218	1	arxiv	arxiv	PROPN
cana-3379	218	2	preprint	preprint	VERB
cana-3379	218	3	arxiv:1810.04805.https://doi.org/10.48550	arxiv:1810.04805.https://doi.org/10.48550	PROPN
cana-3379	218	4	/	/	SYM
cana-3379	218	5	arxiv.1810.04805	arxiv.1810.04805	PROPN
cana-3379	219	1	[	[	X
cana-3379	219	2	25	25	NUM
cana-3379	219	3	]	]	PUNCT
cana-3379	219	4	dietterich	dietterich	PROPN
cana-3379	219	5	,	,	PUNCT
cana-3379	219	6	t.	t.	PROPN
cana-3379	219	7	g.	g.	PROPN
cana-3379	219	8	(	(	PUNCT
cana-3379	219	9	2002	2002	NUM
cana-3379	219	10	)	)	PUNCT
cana-3379	219	11	.	.	PUNCT
cana-3379	220	1	machine	machine	NOUN
cana-3379	220	2	learning	learn	VERB
cana-3379	220	3	for	for	ADP
cana-3379	220	4	sequential	sequential	ADJ
cana-3379	220	5	data	datum	NOUN
cana-3379	220	6	:	:	PUNCT
cana-3379	220	7	a	a	DET
cana-3379	220	8	review	review	NOUN
cana-3379	220	9	.	.	PUNCT
cana-3379	221	1	in	in	ADP
cana-3379	221	2	structural	structural	ADJ
cana-3379	221	3	,	,	PUNCT
cana-3379	221	4	syntactic	syntactic	ADJ
cana-3379	221	5	,	,	PUNCT
cana-3379	221	6	and	and	CCONJ
cana-3379	221	7	statistical	statistical	ADJ
cana-3379	221	8	pattern	pattern	NOUN
cana-3379	221	9	recognition	recognition	NOUN
cana-3379	221	10	:	:	PUNCT
cana-3379	221	11	joint	joint	ADJ
cana-3379	221	12	iapr	iapr	NOUN
cana-3379	221	13	international	international	ADJ
cana-3379	221	14	workshops	workshop	NOUN
cana-3379	221	15	sspr	sspr	VERB
cana-3379	221	16	2002	2002	NUM
cana-3379	221	17	and	and	CCONJ
cana-3379	221	18	spr	spr	PROPN
cana-3379	221	19	2002	2002	NUM
cana-3379	221	20	windsor	windsor	PROPN
cana-3379	221	21	,	,	PUNCT
cana-3379	221	22	ontario	ontario	PROPN
cana-3379	221	23	,	,	PUNCT
cana-3379	221	24	canada	canada	PROPN
cana-3379	221	25	,	,	PUNCT
cana-3379	221	26	august	august	PROPN
cana-3379	221	27	6–9	6–9	PROPN
cana-3379	221	28	,	,	PUNCT
cana-3379	221	29	2002	2002	NUM
cana-3379	221	30	proceedings	proceeding	NOUN
cana-3379	221	31	(	(	PUNCT
cana-3379	221	32	pp	pp	ADJ
cana-3379	221	33	.	.	PUNCT
cana-3379	222	1	15	15	NUM
cana-3379	222	2	-	-	SYM
cana-3379	222	3	30	30	NUM
cana-3379	222	4	)	)	PUNCT
cana-3379	222	5	.	.	PUNCT
cana-3379	223	1	springer	springer	PROPN
cana-3379	223	2	berlin	berlin	PROPN
cana-3379	223	3	heidelberg.https://doi.org/10.1007/3-540-70659-3_2	heidelberg.https://doi.org/10.1007/3-540-70659-3_2	VERB
cana-3379	224	1	[	[	X
cana-3379	224	2	26	26	NUM
cana-3379	224	3	]	]	X
cana-3379	224	4	ji	ji	PROPN
cana-3379	224	5	,	,	PUNCT
cana-3379	224	6	c.	c.	PROPN
cana-3379	224	7	,	,	PUNCT
cana-3379	224	8	&	&	CCONJ
cana-3379	224	9	wu	wu	PROPN
cana-3379	224	10	,	,	PUNCT
cana-3379	224	11	h.	h.	PROPN
cana-3379	224	12	(	(	PUNCT
cana-3379	224	13	2020	2020	NUM
cana-3379	224	14	)	)	PUNCT
cana-3379	224	15	.	.	PUNCT
cana-3379	224	16	cascade	cascade	NOUN
cana-3379	224	17	architecture	architecture	NOUN
cana-3379	224	18	with	with	ADP
cana-3379	224	19	rhetoric	rhetoric	NOUN
cana-3379	224	20	long	long	ADJ
cana-3379	224	21	short	short	ADJ
cana-3379	224	22	-	-	PUNCT
cana-3379	224	23	term	term	NOUN
cana-3379	224	24	memory	memory	NOUN
cana-3379	224	25	for	for	ADP
cana-3379	224	26	complex	complex	ADJ
cana-3379	224	27	sentence	sentence	NOUN
cana-3379	224	28	sentiment	sentiment	NOUN
cana-3379	224	29	analysis	analysis	NOUN
cana-3379	224	30	.	.	PUNCT
cana-3379	225	1	neurocomputing,405,161172.https://doi.org/10.1016	neurocomputing,405,161172.https://doi.org/10.1016	PROPN
cana-3379	225	2	/	/	SYM
cana-3379	225	3	j.neucom.2020.04.055	j.neucom.2020.04.055	PROPN
cana-3379	226	1	[	[	X
cana-3379	226	2	27	27	NUM
cana-3379	226	3	]	]	X
cana-3379	226	4	jia	jia	PROPN
cana-3379	226	5	,	,	PUNCT
cana-3379	226	6	z.	z.	PROPN
cana-3379	226	7	,	,	PUNCT
cana-3379	226	8	bai	bai	PROPN
cana-3379	226	9	,	,	PUNCT
cana-3379	226	10	x.	x.	NOUN
cana-3379	226	11	,	,	PUNCT
cana-3379	226	12	&	&	CCONJ
cana-3379	226	13	pang	pang	PROPN
cana-3379	226	14	,	,	PUNCT
cana-3379	226	15	s.	s.	PROPN
cana-3379	226	16	(	(	PUNCT
cana-3379	226	17	2020	2020	NUM
cana-3379	226	18	)	)	PUNCT
cana-3379	226	19	.	.	PUNCT
cana-3379	227	1	hierarchical	hierarchical	ADJ
cana-3379	227	2	gated	gate	VERB
cana-3379	227	3	deep	deep	ADJ
cana-3379	227	4	memory	memory	NOUN
cana-3379	227	5	network	network	NOUN
cana-3379	227	6	with	with	ADP
cana-3379	227	7	position	position	NOUN
cana-3379	227	8	-	-	PUNCT
cana-3379	227	9	aware	aware	ADJ
cana-3379	227	10	for	for	ADP
cana-3379	227	11	aspect	aspect	NOUN
cana-3379	227	12	-	-	PUNCT
cana-3379	227	13	based	base	VERB
cana-3379	227	14	sentiment	sentiment	NOUN
cana-3379	227	15	analysis	analysis	NOUN
cana-3379	227	16	.	.	PUNCT
cana-3379	228	1	ieee	ieee	NOUN
cana-3379	228	2	access	access	NOUN
cana-3379	228	3	,	,	PUNCT
cana-3379	228	4	8	8	NUM
cana-3379	228	5	,	,	PUNCT
cana-3379	228	6	136340-136347.https://doi.org/10.1109/access.2020.3011318	136340-136347.https://doi.org/10.1109/access.2020.3011318	NUM
cana-3379	229	1	[	[	X
cana-3379	229	2	28	28	NUM
cana-3379	229	3	]	]	X
cana-3379	229	4	jiang	jiang	PROPN
cana-3379	229	5	,	,	PUNCT
cana-3379	229	6	t.	t.	PROPN
cana-3379	229	7	,	,	PUNCT
cana-3379	229	8	wang	wang	PROPN
cana-3379	229	9	,	,	PUNCT
cana-3379	229	10	j.	j.	PROPN
cana-3379	229	11	,	,	PUNCT
cana-3379	229	12	liu	liu	PROPN
cana-3379	229	13	,	,	PUNCT
cana-3379	229	14	z.	z.	PROPN
cana-3379	229	15	,	,	PUNCT
cana-3379	229	16	&	&	CCONJ
cana-3379	229	17	ling	ling	PROPN
cana-3379	229	18	,	,	PUNCT
cana-3379	229	19	y.	y.	PROPN
cana-3379	229	20	(	(	PUNCT
cana-3379	229	21	2020	2020	NUM
cana-3379	229	22	)	)	PUNCT
cana-3379	229	23	.	.	PUNCT
cana-3379	230	1	fusion	fusion	NOUN
cana-3379	230	2	-	-	PUNCT
cana-3379	230	3	extraction	extraction	NOUN
cana-3379	230	4	network	network	NOUN
cana-3379	230	5	for	for	ADP
cana-3379	230	6	multimodal	multimodal	ADJ
cana-3379	230	7	sentiment	sentiment	NOUN
cana-3379	230	8	analysis	analysis	NOUN
cana-3379	230	9	.	.	PUNCT
cana-3379	231	1	in	in	ADP
cana-3379	231	2	advances	advance	NOUN
cana-3379	231	3	in	in	ADP
cana-3379	231	4	knowledge	knowledge	NOUN
cana-3379	231	5	discovery	discovery	NOUN
cana-3379	231	6	and	and	CCONJ
cana-3379	231	7	data	datum	NOUN
cana-3379	231	8	mining	mining	NOUN
cana-3379	231	9	:	:	PUNCT
cana-3379	231	10	24th	24th	ADJ
cana-3379	231	11	pacific	pacific	PROPN
cana-3379	231	12	-	-	PUNCT
cana-3379	231	13	asia	asia	PROPN
cana-3379	231	14	conference	conference	NOUN
cana-3379	231	15	,	,	PUNCT
cana-3379	231	16	pakdd	pakdd	VERB
cana-3379	231	17	2020	2020	NUM
cana-3379	231	18	,	,	PUNCT
cana-3379	231	19	singapore	singapore	PROPN
cana-3379	231	20	,	,	PUNCT
cana-3379	231	21	may	may	PROPN
cana-3379	231	22	11–14	11–14	NUM
cana-3379	231	23	,	,	PUNCT
cana-3379	231	24	2020	2020	NUM
cana-3379	231	25	,	,	PUNCT
cana-3379	231	26	proceedings	proceeding	NOUN
cana-3379	231	27	,	,	PUNCT
cana-3379	231	28	part	part	NOUN
cana-3379	231	29	ii	ii	PROPN
cana-3379	231	30	24	24	NUM
cana-3379	231	31	(	(	PUNCT
cana-3379	231	32	pp	pp	ADJ
cana-3379	231	33	.	.	PUNCT
cana-3379	231	34	785	785	NUM
cana-3379	231	35	-	-	SYM
cana-3379	231	36	797	797	NUM
cana-3379	231	37	)	)	PUNCT
cana-3379	231	38	.	.	PUNCT
cana-3379	232	1	springer	springer	PROPN
cana-3379	232	2	international	international	PROPN
cana-3379	232	3	publishing.https://doi.org/10.1007/978-3030-47436-2_59	publishing.https://doi.org/10.1007/978-3030-47436-2_59	PROPN
cana-3379	233	1	[	[	X
cana-3379	233	2	29	29	NUM
cana-3379	233	3	]	]	PUNCT
cana-3379	233	4	a	a	DET
cana-3379	233	5	ligthart	ligthart	NOUN
cana-3379	233	6	,	,	PUNCT
cana-3379	233	7	c	c	PROPN
cana-3379	233	8	catal	catal	X
cana-3379	233	9	,	,	PUNCT
cana-3379	233	10	b	b	PROPN
cana-3379	233	11	tekinerdogan	tekinerdogan	ADJ
cana-3379	233	12	systematic	systematic	ADJ
cana-3379	233	13	reviews	review	NOUN
cana-3379	233	14	in	in	ADP
cana-3379	233	15	sentiment	sentiment	NOUN
cana-3379	233	16	analysis	analysis	NOUN
cana-3379	233	17	:	:	PUNCT
cana-3379	233	18	a	a	DET
cana-3379	233	19	tertiary	tertiary	ADJ
cana-3379	233	20	study	study	NOUN
cana-3379	233	21	pacific	pacific	PROPN
cana-3379	233	22	-	-	PUNCT
cana-3379	233	23	asia	asia	PROPN
cana-3379	233	24	conference	conference	NOUN
cana-3379	233	25	on	on	ADP
cana-3379	233	26	knowledge	knowledge	NOUN
cana-3379	233	27	discovery	discovery	PROPN
cana-3379	233	28	and	and	CCONJ
cana-3379	233	29	data	datum	NOUN
cana-3379	233	30	mining	mining	NOUN
cana-3379	233	31	.	.	PUNCT
cana-3379	234	1	springer	springer	PROPN
cana-3379	234	2	,	,	PUNCT
cana-3379	234	3	cham	cham	PROPN
cana-3379	234	4	,	,	PUNCT
cana-3379	234	5	pp	pp	ADP
cana-3379	234	6	785–797https://doi.org/10.1007/978	785–797https://doi.org/10.1007/978	PROPN
cana-3379	234	7	-	-	PUNCT
cana-3379	234	8	3	3	NUM
cana-3379	234	9	-	-	PUNCT
cana-3379	234	10	33995162	33995162	NUM
cana-3379	234	11	-	-	SYM
cana-3379	234	12	3_39	3_39	NUM
cana-3379	235	1	[	[	X
cana-3379	235	2	30	30	NUM
cana-3379	235	3	]	]	X
cana-3379	235	4	jin	jin	NOUN
cana-3379	235	5	,	,	PUNCT
cana-3379	235	6	n.	n.	PROPN
cana-3379	235	7	,	,	PUNCT
cana-3379	235	8	wu	wu	PROPN
cana-3379	235	9	,	,	PUNCT
cana-3379	235	10	j.	j.	PROPN
cana-3379	235	11	,	,	PUNCT
cana-3379	235	12	ma	ma	PROPN
cana-3379	235	13	,	,	PUNCT
cana-3379	235	14	x.	x.	PROPN
cana-3379	235	15	,	,	PUNCT
cana-3379	235	16	yan	yan	PROPN
cana-3379	235	17	,	,	PUNCT
cana-3379	235	18	k.	k.	PROPN
cana-3379	235	19	,	,	PUNCT
cana-3379	235	20	&	&	CCONJ
cana-3379	235	21	mo	mo	PROPN
cana-3379	235	22	,	,	PUNCT
cana-3379	235	23	y.	y.	PROPN
cana-3379	235	24	(	(	PUNCT
cana-3379	235	25	2020	2020	NUM
cana-3379	235	26	)	)	PUNCT
cana-3379	235	27	.	.	PUNCT
cana-3379	236	1	multi	multi	ADJ
cana-3379	236	2	-	-	ADJ
cana-3379	236	3	task	task	ADJ
cana-3379	236	4	learning	learn	VERB
cana-3379	236	5	model	model	NOUN
cana-3379	236	6	based	base	VERB
cana-3379	236	7	on	on	ADP
cana-3379	236	8	multi	multi	ADJ
cana-3379	236	9	-	-	ADJ
cana-3379	236	10	scale	scale	ADJ
cana-3379	236	11	cnn	cnn	NOUN
cana-3379	236	12	and	and	CCONJ
cana-3379	236	13	lstm	lstm	NOUN
cana-3379	236	14	for	for	ADP
cana-3379	236	15	sentimentclassification.ieeeaccess,8,7706077072.https://doi.org/10.1109	sentimentclassification.ieeeaccess,8,7706077072.https://doi.org/10.1109	VERB
cana-3379	236	16	/	/	SYM
cana-3379	236	17	access.2020.2989428	access.2020.2989428	PROPN
cana-3379	236	18	[	[	X
cana-3379	236	19	31	31	NUM
cana-3379	236	20	]	]	X
cana-3379	236	21	josiassen	josiassen	PROPN
cana-3379	236	22	,	,	PUNCT
cana-3379	236	23	a.	a.	NOUN
cana-3379	236	24	,	,	PUNCT
cana-3379	236	25	assaf	assaf	PROPN
cana-3379	236	26	,	,	PUNCT
cana-3379	236	27	a.	a.	NOUN
cana-3379	236	28	g.	g.	PROPN
cana-3379	236	29	,	,	PUNCT
cana-3379	236	30	&	&	CCONJ
cana-3379	236	31	cvelbar	cvelbar	PROPN
cana-3379	236	32	,	,	PUNCT
cana-3379	236	33	l.	l.	PROPN
cana-3379	236	34	k.	k.	PROPN
cana-3379	236	35	(	(	PUNCT
cana-3379	236	36	2014	2014	NUM
cana-3379	236	37	)	)	PUNCT
cana-3379	236	38	.	.	PUNCT
cana-3379	237	1	crm	crm	PROPN
cana-3379	237	2	and	and	CCONJ
cana-3379	237	3	the	the	DET
cana-3379	237	4	bottom	bottom	ADJ
cana-3379	237	5	line	line	NOUN
cana-3379	237	6	:	:	PUNCT
cana-3379	237	7	do	do	AUX
cana-3379	237	8	all	all	DET
cana-3379	237	9	crm	crm	NOUN
cana-3379	237	10	dimensions	dimension	NOUN
cana-3379	237	11	affect	affect	VERB
cana-3379	237	12	firm	firm	ADJ
cana-3379	237	13	performance	performance	NOUN
cana-3379	237	14	?	?	PUNCT
cana-3379	238	1	international	international	ADJ
cana-3379	238	2	journal	journal	PROPN
cana-3379	238	3	of	of	ADP
cana-3379	238	4	hospitality	hospitality	PROPN
cana-3379	238	5	management	management	NOUN
cana-3379	238	6	,	,	PUNCT
cana-3379	238	7	36	36	NUM
cana-3379	238	8	,	,	PUNCT
cana-3379	238	9	130136.https://doi.org/10.1016/j.ijhm.2013.08.005	130136.https://doi.org/10.1016/j.ijhm.2013.08.005	NUM
cana-3379	238	10	https://doi.org/10.1007/s11219-012-9181-z	https://doi.org/10.1007/s11219-012-9181-z	NOUN
cana-3379	238	11	https://doi.org/10.1007/s11219-012-9181-z	https://doi.org/10.1007/s11219-012-9181-z	PROPN
cana-3379	238	12	https://doi.org/10.1007/s12144-020-00789-y	https://doi.org/10.1007/s12144-020-00789-y	PROPN
cana-3379	238	13	https://doi.org/10.1007/978-3-319-95162-1_38	https://doi.org/10.1007/978-3-319-95162-1_38	PROPN
cana-3379	238	14	https://doi.org/10.1007/978-981-15-1216-2_3	https://doi.org/10.1007/978-981-15-1216-2_3	PRON
cana-3379	238	15	https://doi.org/10.48550/arxiv.1810.04805	https://doi.org/10.48550/arxiv.1810.04805	PROPN
cana-3379	238	16	https://doi.org/10.1007/3-540-70659-3_2	https://doi.org/10.1007/3-540-70659-3_2	PROPN
cana-3379	238	17	https://doi.org/10.1016/j.neucom.2020.04.055	https://doi.org/10.1016/j.neucom.2020.04.055	PROPN
cana-3379	238	18	https://doi.org/10.1109/access.2020.3011318	https://doi.org/10.1109/access.2020.3011318	PROPN
cana-3379	238	19	https://doi.org/10.1007/978-3-030-47436-2_59	https://doi.org/10.1007/978-3-030-47436-2_59	PROPN
cana-3379	238	20	https://doi.org/10.1007/978-3-030-47436-2_59	https://doi.org/10.1007/978-3-030-47436-2_59	PROPN
cana-3379	238	21	https://scholar.google.com/citations?user=pnconz8aaaaj&hl=en&oi=sra	https://scholar.google.com/citations?user=pnconz8aaaaj&hl=en&oi=sra	PROPN
cana-3379	238	22	https://scholar.google.com/citations?user=-d_bmh4aaaaj&hl=en&oi=sra	https://scholar.google.com/citations?user=-d_bmh4aaaaj&hl=en&oi=sra	PROPN
cana-3379	238	23	https://doi.org/10.1109/access.2020.2989428	https://doi.org/10.1109/access.2020.2989428	PROPN
cana-3379	238	24	https://doi.org/10.1016/j.ijhm.2013.08.005	https://doi.org/10.1016/j.ijhm.2013.08.005	PROPN