id	sid	tid	token	lemma	pos
cana-5074	1	1	communications	communication	NOUN
cana-5074	1	2	on	on	ADP
cana-5074	1	3	applied	apply	VERB
cana-5074	1	4	nonlinear	nonlinear	ADJ
cana-5074	1	5	analysis	analysis	NOUN
cana-5074	1	6	issn	issn	NOUN
cana-5074	1	7	:	:	PUNCT
cana-5074	1	8	1074	1074	NUM
cana-5074	1	9	-	-	PUNCT
cana-5074	1	10	133x	133x	NUM
cana-5074	1	11	vol	vol	NOUN
cana-5074	1	12	32	32	NUM
cana-5074	1	13	no	no	NOUN
cana-5074	1	14	.	.	PUNCT
cana-5074	2	1	icmasd	icmasd	NOUN
cana-5074	2	2	(	(	PUNCT
cana-5074	2	3	2025	2025	NUM
cana-5074	2	4	)	)	PUNCT
cana-5074	3	1	459	459	NUM
cana-5074	3	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-5074	3	3	comprehensive	comprehensive	ADJ
cana-5074	3	4	overview	overview	NOUN
cana-5074	3	5	of	of	ADP
cana-5074	3	6	sentimental	sentimental	ADJ
cana-5074	3	7	analysis	analysis	NOUN
cana-5074	3	8	by	by	ADP
cana-5074	3	9	utilizing	utilize	VERB
cana-5074	3	10	machine	machine	NOUN
cana-5074	3	11	learning	learn	VERB
cana-5074	3	12	techniques	technique	NOUN
cana-5074	3	13	puneet	puneet	PROPN
cana-5074	3	14	kumar1	kumar1	PROPN
cana-5074	3	15	*	*	PROPN
cana-5074	3	16	,	,	PUNCT
cana-5074	3	17	kamal	kamal	PROPN
cana-5074	3	18	malik1	malik1	PROPN
cana-5074	3	19	*	*	PROPN
cana-5074	3	20	1	1	NUM
cana-5074	3	21	ct	ct	PROPN
cana-5074	3	22	university	university	NOUN
cana-5074	3	23	,	,	PUNCT
cana-5074	3	24	ludhiana	ludhiana	PROPN
cana-5074	3	25	,	,	PUNCT
cana-5074	3	26	india	india	PROPN
cana-5074	3	27	corresponding	corresponding	PROPN
cana-5074	3	28	author	author	PROPN
cana-5074	3	29	’s	’s	PART
cana-5074	3	30	email	email	NOUN
cana-5074	4	1	i	i	PROPN
cana-5074	4	2	d	d	PROPN
cana-5074	4	3	:	:	PUNCT
cana-5074	4	4	way2punit@gmail.com	way2punit@gmail.com	NOUN
cana-5074	4	5	,	,	PUNCT
cana-5074	4	6	professorkamalmalik@gmail.com	professorkamalmalik@gmail.com	X
cana-5074	4	7	article	article	NOUN
cana-5074	4	8	history	history	NOUN
cana-5074	4	9	:	:	PUNCT
cana-5074	4	10	received	receive	VERB
cana-5074	4	11	:	:	PUNCT
cana-5074	4	12	12	12	NUM
cana-5074	4	13	-	-	SYM
cana-5074	4	14	12	12	NUM
cana-5074	4	15	-	-	PUNCT
cana-5074	4	16	2024	2024	NUM
cana-5074	4	17	revised	revise	VERB
cana-5074	4	18	:	:	PUNCT
cana-5074	4	19	25	25	NUM
cana-5074	4	20	-	-	PUNCT
cana-5074	4	21	01	01	NUM
cana-5074	4	22	-	-	PUNCT
cana-5074	4	23	2025	2025	NUM
cana-5074	4	24	accepted	accept	VERB
cana-5074	4	25	:	:	PUNCT
cana-5074	4	26	05	05	NUM
cana-5074	4	27	-	-	PUNCT
cana-5074	4	28	02	02	NUM
cana-5074	4	29	-	-	PUNCT
cana-5074	4	30	2025	2025	NUM
cana-5074	4	31	abstract	abstract	NOUN
cana-5074	4	32	:	:	PUNCT
cana-5074	5	1	objective	objective	NOUN
cana-5074	5	2	:	:	PUNCT
cana-5074	5	3	this	this	DET
cana-5074	5	4	comprehensive	comprehensive	ADJ
cana-5074	5	5	review	review	NOUN
cana-5074	5	6	employs	employ	VERB
cana-5074	5	7	the	the	DET
cana-5074	5	8	preferred	preferred	ADJ
cana-5074	5	9	reporting	reporting	NOUN
cana-5074	5	10	items	item	NOUN
cana-5074	5	11	for	for	ADP
cana-5074	5	12	systematic	systematic	ADJ
cana-5074	5	13	reviews	review	NOUN
cana-5074	5	14	and	and	CCONJ
cana-5074	5	15	meta	meta	NOUN
cana-5074	5	16	-	-	PUNCT
cana-5074	5	17	analyses	analysis	NOUN
cana-5074	5	18	(	(	PUNCT
cana-5074	5	19	prisma	prisma	NOUN
cana-5074	5	20	)	)	PUNCT
cana-5074	5	21	methodology	methodology	NOUN
cana-5074	5	22	to	to	PART
cana-5074	5	23	comprehensively	comprehensively	ADV
cana-5074	5	24	examine	examine	VERB
cana-5074	5	25	the	the	DET
cana-5074	5	26	landscape	landscape	NOUN
cana-5074	5	27	of	of	ADP
cana-5074	5	28	sentiment	sentiment	NOUN
cana-5074	5	29	analysis	analysis	NOUN
cana-5074	5	30	techniques	technique	NOUN
cana-5074	5	31	utilizing	utilize	VERB
cana-5074	5	32	machine	machine	NOUN
cana-5074	5	33	learning	learn	VERB
cana-5074	5	34	algorithms	algorithm	NOUN
cana-5074	5	35	and	and	CCONJ
cana-5074	5	36	artificial	artificial	ADJ
cana-5074	5	37	intelligence	intelligence	NOUN
cana-5074	5	38	(	(	PUNCT
cana-5074	5	39	ai	ai	NOUN
cana-5074	5	40	)	)	PUNCT
cana-5074	5	41	approaches	approach	NOUN
cana-5074	5	42	.	.	PUNCT
cana-5074	6	1	background	background	NOUN
cana-5074	6	2	:	:	PUNCT
cana-5074	6	3	sentiment	sentiment	NOUN
cana-5074	6	4	analysis	analysis	NOUN
cana-5074	6	5	has	have	AUX
cana-5074	6	6	emerged	emerge	VERB
cana-5074	6	7	as	as	ADP
cana-5074	6	8	a	a	DET
cana-5074	6	9	critical	critical	ADJ
cana-5074	6	10	domain	domain	NOUN
cana-5074	6	11	in	in	ADP
cana-5074	6	12	natural	natural	ADJ
cana-5074	6	13	language	language	NOUN
cana-5074	6	14	processing	processing	NOUN
cana-5074	6	15	.	.	PUNCT
cana-5074	7	1	it	it	PRON
cana-5074	7	2	leverages	leverage	VERB
cana-5074	7	3	advanced	advanced	ADJ
cana-5074	7	4	computational	computational	ADJ
cana-5074	7	5	techniques	technique	NOUN
cana-5074	7	6	to	to	PART
cana-5074	7	7	extract	extract	VERB
cana-5074	7	8	and	and	CCONJ
cana-5074	7	9	interpret	interpret	VERB
cana-5074	7	10	emotional	emotional	ADJ
cana-5074	7	11	nuances	nuance	NOUN
cana-5074	7	12	from	from	ADP
cana-5074	7	13	textual	textual	ADJ
cana-5074	7	14	data	datum	NOUN
cana-5074	7	15	across	across	ADP
cana-5074	7	16	diverse	diverse	ADJ
cana-5074	7	17	domains	domain	NOUN
cana-5074	7	18	,	,	PUNCT
cana-5074	7	19	including	include	VERB
cana-5074	7	20	social	social	ADJ
cana-5074	7	21	media	medium	NOUN
cana-5074	7	22	,	,	PUNCT
cana-5074	7	23	customer	customer	NOUN
cana-5074	7	24	feedback	feedback	NOUN
cana-5074	7	25	,	,	PUNCT
cana-5074	7	26	market	market	NOUN
cana-5074	7	27	research	research	NOUN
cana-5074	7	28	,	,	PUNCT
cana-5074	7	29	and	and	CCONJ
cana-5074	7	30	political	political	ADJ
cana-5074	7	31	discourse	discourse	NOUN
cana-5074	7	32	.	.	PUNCT
cana-5074	8	1	methodology	methodology	NOUN
cana-5074	8	2	:	:	PUNCT
cana-5074	8	3	a	a	DET
cana-5074	8	4	comprehensive	comprehensive	ADJ
cana-5074	8	5	systematic	systematic	ADJ
cana-5074	8	6	review	review	NOUN
cana-5074	8	7	was	be	AUX
cana-5074	8	8	conducted	conduct	VERB
cana-5074	8	9	following	follow	VERB
cana-5074	8	10	the	the	DET
cana-5074	8	11	prisma	prisma	PROPN
cana-5074	8	12	2020	2020	NUM
cana-5074	8	13	guidelines	guideline	NOUN
cana-5074	8	14	.	.	PUNCT
cana-5074	9	1	multiple	multiple	ADJ
cana-5074	9	2	academic	academic	ADJ
cana-5074	9	3	databases	database	NOUN
cana-5074	9	4	,	,	PUNCT
cana-5074	9	5	including	include	VERB
cana-5074	9	6	web	web	NOUN
cana-5074	9	7	of	of	ADP
cana-5074	9	8	science	science	NOUN
cana-5074	9	9	,	,	PUNCT
cana-5074	9	10	scopus	scopus	PROPN
cana-5074	9	11	,	,	PUNCT
cana-5074	9	12	ieee	ieee	NOUN
cana-5074	9	13	xplore	xplore	PROPN
cana-5074	9	14	,	,	PUNCT
cana-5074	9	15	and	and	CCONJ
cana-5074	9	16	acm	acm	PROPN
cana-5074	9	17	digital	digital	PROPN
cana-5074	9	18	library	library	NOUN
cana-5074	9	19	,	,	PUNCT
cana-5074	9	20	were	be	AUX
cana-5074	9	21	systematically	systematically	ADV
cana-5074	9	22	searched	search	VERB
cana-5074	9	23	using	use	VERB
cana-5074	9	24	predefined	predefine	VERB
cana-5074	9	25	inclusion	inclusion	NOUN
cana-5074	9	26	and	and	CCONJ
cana-5074	9	27	exclusion	exclusion	NOUN
cana-5074	9	28	criteria	criterion	NOUN
cana-5074	9	29	.	.	PUNCT
cana-5074	10	1	the	the	DET
cana-5074	10	2	search	search	NOUN
cana-5074	10	3	strategy	strategy	NOUN
cana-5074	10	4	employed	employ	VERB
cana-5074	10	5	a	a	DET
cana-5074	10	6	combination	combination	NOUN
cana-5074	10	7	of	of	ADP
cana-5074	10	8	keywords	keyword	NOUN
cana-5074	10	9	:	:	PUNCT
cana-5074	10	10	"	"	PUNCT
cana-5074	10	11	sentiment	sentiment	NOUN
cana-5074	10	12	analysis	analysis	NOUN
cana-5074	10	13	,	,	PUNCT
cana-5074	10	14	"	"	PUNCT
cana-5074	10	15	"	"	PUNCT
cana-5074	10	16	machine	machine	NOUN
cana-5074	10	17	learning	learning	NOUN
cana-5074	10	18	,	,	PUNCT
cana-5074	10	19	"	"	PUNCT
cana-5074	10	20	"	"	PUNCT
cana-5074	10	21	artificial	artificial	ADJ
cana-5074	10	22	intelligence	intelligence	NOUN
cana-5074	10	23	,	,	PUNCT
cana-5074	10	24	"	"	PUNCT
cana-5074	10	25	"	"	PUNCT
cana-5074	10	26	natural	natural	ADJ
cana-5074	10	27	language	language	NOUN
cana-5074	10	28	processing	processing	NOUN
cana-5074	10	29	,	,	PUNCT
cana-5074	10	30	"	"	PUNCT
cana-5074	10	31	and	and	CCONJ
cana-5074	10	32	related	related	ADJ
cana-5074	10	33	terms	term	NOUN
cana-5074	10	34	.	.	PUNCT
cana-5074	11	1	conclusion	conclusion	NOUN
cana-5074	11	2	:	:	PUNCT
cana-5074	11	3	the	the	DET
cana-5074	11	4	systematic	systematic	ADJ
cana-5074	11	5	review	review	NOUN
cana-5074	11	6	reveals	reveal	VERB
cana-5074	11	7	significant	significant	ADJ
cana-5074	11	8	advancements	advancement	NOUN
cana-5074	11	9	in	in	ADP
cana-5074	11	10	sentiment	sentiment	NOUN
cana-5074	11	11	analysis	analysis	NOUN
cana-5074	11	12	through	through	ADP
cana-5074	11	13	machine	machine	NOUN
cana-5074	11	14	learning	learning	NOUN
cana-5074	11	15	and	and	CCONJ
cana-5074	11	16	ai	ai	PROPN
cana-5074	11	17	technologies	technology	NOUN
cana-5074	11	18	.	.	PUNCT
cana-5074	12	1	the	the	DET
cana-5074	12	2	emerging	emerge	VERB
cana-5074	12	3	techniques	technique	NOUN
cana-5074	12	4	demonstrate	demonstrate	VERB
cana-5074	12	5	remarkable	remarkable	ADJ
cana-5074	12	6	potential	potential	NOUN
cana-5074	12	7	in	in	ADP
cana-5074	12	8	understanding	understanding	NOUN
cana-5074	12	9	and	and	CCONJ
cana-5074	12	10	interpreting	interpret	VERB
cana-5074	12	11	human	human	ADJ
cana-5074	12	12	emotions	emotion	NOUN
cana-5074	12	13	across	across	ADP
cana-5074	12	14	diverse	diverse	ADJ
cana-5074	12	15	textual	textual	ADJ
cana-5074	12	16	landscapes	landscape	NOUN
cana-5074	12	17	,	,	PUNCT
cana-5074	12	18	with	with	ADP
cana-5074	12	19	continuous	continuous	ADJ
cana-5074	12	20	improvements	improvement	NOUN
cana-5074	12	21	in	in	ADP
cana-5074	12	22	accuracy	accuracy	NOUN
cana-5074	12	23	,	,	PUNCT
cana-5074	12	24	interpretability	interpretability	NOUN
cana-5074	12	25	,	,	PUNCT
cana-5074	12	26	and	and	CCONJ
cana-5074	12	27	domain	domain	NOUN
cana-5074	12	28	adaptability	adaptability	NOUN
cana-5074	12	29	.	.	PUNCT
cana-5074	13	1	keywords	keyword	NOUN
cana-5074	13	2	:	:	PUNCT
cana-5074	13	3	sentiment	sentiment	NOUN
cana-5074	13	4	analysis	analysis	NOUN
cana-5074	13	5	,	,	PUNCT
cana-5074	13	6	machine	machine	NOUN
cana-5074	13	7	learning	learning	NOUN
cana-5074	13	8	,	,	PUNCT
cana-5074	13	9	artificial	artificial	ADJ
cana-5074	13	10	intelligence	intelligence	NOUN
cana-5074	13	11	,	,	PUNCT
cana-5074	13	12	natural	natural	ADJ
cana-5074	13	13	language	language	NOUN
cana-5074	13	14	processing	processing	NOUN
cana-5074	13	15	,	,	PUNCT
cana-5074	13	16	prisma	prisma	PROPN
cana-5074	13	17	review	review	PROPN
cana-5074	13	18	,	,	PUNCT
cana-5074	13	19	emotion	emotion	NOUN
cana-5074	13	20	detection	detection	NOUN
cana-5074	13	21	1	1	NUM
cana-5074	13	22	.	.	PUNCT
cana-5074	13	23	introduction	introduction	NOUN
cana-5074	13	24	sentiment	sentiment	NOUN
cana-5074	13	25	analysis	analysis	NOUN
cana-5074	13	26	,	,	PUNCT
cana-5074	13	27	also	also	ADV
cana-5074	13	28	known	know	VERB
cana-5074	13	29	as	as	ADP
cana-5074	13	30	opinion	opinion	NOUN
cana-5074	13	31	mining	mining	NOUN
cana-5074	13	32	,	,	PUNCT
cana-5074	13	33	involves	involve	VERB
cana-5074	13	34	using	use	VERB
cana-5074	13	35	computational	computational	ADJ
cana-5074	13	36	methods	method	NOUN
cana-5074	13	37	to	to	PART
cana-5074	13	38	analyze	analyze	VERB
cana-5074	13	39	how	how	SCONJ
cana-5074	13	40	people	people	NOUN
cana-5074	13	41	feel	feel	VERB
cana-5074	13	42	about	about	ADP
cana-5074	13	43	various	various	ADJ
cana-5074	13	44	entities	entity	NOUN
cana-5074	13	45	from	from	ADP
cana-5074	13	46	products	product	NOUN
cana-5074	13	47	and	and	CCONJ
cana-5074	13	48	services	service	NOUN
cana-5074	13	49	to	to	ADP
cana-5074	13	50	broader	broad	ADJ
cana-5074	13	51	issues	issue	NOUN
cana-5074	13	52	and	and	CCONJ
cana-5074	13	53	events	event	NOUN
cana-5074	13	54	.	.	PUNCT
cana-5074	14	1	this	this	DET
cana-5074	14	2	field	field	NOUN
cana-5074	14	3	helps	help	VERB
cana-5074	14	4	track	track	VERB
cana-5074	14	5	public	public	ADJ
cana-5074	14	6	sentiment	sentiment	NOUN
cana-5074	14	7	to	to	PART
cana-5074	14	8	generate	generate	VERB
cana-5074	14	9	practical	practical	ADJ
cana-5074	14	10	insights	insight	NOUN
cana-5074	14	11	.	.	PUNCT
cana-5074	15	1	researchers	researcher	NOUN
cana-5074	15	2	can	can	AUX
cana-5074	15	3	better	well	ADV
cana-5074	15	4	understand	understand	VERB
cana-5074	15	5	and	and	CCONJ
cana-5074	15	6	predict	predict	VERB
cana-5074	15	7	social	social	ADJ
cana-5074	15	8	trends	trend	NOUN
cana-5074	15	9	and	and	CCONJ
cana-5074	15	10	behaviors	behavior	NOUN
cana-5074	15	11	by	by	ADP
cana-5074	15	12	studying	study	VERB
cana-5074	15	13	opinions	opinion	NOUN
cana-5074	15	14	,	,	PUNCT
cana-5074	15	15	emotions	emotion	NOUN
cana-5074	15	16	,	,	PUNCT
cana-5074	15	17	and	and	CCONJ
cana-5074	15	18	attitudes	attitude	NOUN
cana-5074	15	19	expressed	express	VERB
cana-5074	15	20	online	online	ADV
cana-5074	15	21	(	(	PUNCT
cana-5074	15	22	pozzi	pozzi	PROPN
cana-5074	15	23	et	et	PROPN
cana-5074	15	24	al	al	PROPN
cana-5074	15	25	.	.	PROPN
cana-5074	15	26	2017	2017	NUM
cana-5074	15	27	)	)	PUNCT
cana-5074	15	28	.	.	PUNCT
cana-5074	16	1	in	in	ADP
cana-5074	16	2	the	the	DET
cana-5074	16	3	business	business	NOUN
cana-5074	16	4	context	context	NOUN
cana-5074	16	5	,	,	PUNCT
cana-5074	16	6	sentiment	sentiment	NOUN
cana-5074	16	7	analysis	analysis	NOUN
cana-5074	16	8	has	have	AUX
cana-5074	16	9	become	become	VERB
cana-5074	16	10	crucial	crucial	ADJ
cana-5074	16	11	as	as	SCONJ
cana-5074	16	12	companies	company	NOUN
cana-5074	16	13	strive	strive	VERB
cana-5074	16	14	to	to	PART
cana-5074	16	15	understand	understand	VERB
cana-5074	16	16	their	their	PRON
cana-5074	16	17	customers	customer	NOUN
cana-5074	16	18	better	well	ADV
cana-5074	16	19	in	in	ADP
cana-5074	16	20	an	an	DET
cana-5074	16	21	increasingly	increasingly	ADV
cana-5074	16	22	customer	customer	NOUN
cana-5074	16	23	-	-	PUNCT
cana-5074	16	24	centric	centric	ADJ
cana-5074	16	25	marketplace	marketplace	NOUN
cana-5074	16	26	(	(	PUNCT
cana-5074	16	27	chagas	chagas	NOUN
cana-5074	16	28	et	et	PROPN
cana-5074	16	29	al	al	PROPN
cana-5074	16	30	.	.	PROPN
cana-5074	16	31	2018	2018	NUM
cana-5074	16	32	)	)	PUNCT
cana-5074	16	33	.	.	PUNCT
cana-5074	17	1	with	with	ADP
cana-5074	17	2	the	the	DET
cana-5074	17	3	massive	massive	ADJ
cana-5074	17	4	proliferation	proliferation	NOUN
cana-5074	17	5	of	of	ADP
cana-5074	17	6	online	online	ADJ
cana-5074	17	7	platforms	platform	NOUN
cana-5074	17	8	like	like	ADP
cana-5074	17	9	discussion	discussion	NOUN
cana-5074	17	10	forums	forum	NOUN
cana-5074	17	11	,	,	PUNCT
cana-5074	17	12	review	review	NOUN
cana-5074	17	13	sites	site	NOUN
cana-5074	17	14	,	,	PUNCT
cana-5074	17	15	and	and	CCONJ
cana-5074	17	16	social	social	ADJ
cana-5074	17	17	media	medium	NOUN
cana-5074	17	18	,	,	PUNCT
cana-5074	17	19	communications	communication	NOUN
cana-5074	17	20	on	on	ADP
cana-5074	17	21	applied	apply	VERB
cana-5074	17	22	nonlinear	nonlinear	ADJ
cana-5074	17	23	analysis	analysis	NOUN
cana-5074	17	24	issn	issn	NOUN
cana-5074	17	25	:	:	PUNCT
cana-5074	17	26	1074	1074	NUM
cana-5074	17	27	-	-	PUNCT
cana-5074	17	28	133x	133x	NUM
cana-5074	17	29	vol	vol	NOUN
cana-5074	17	30	32	32	NUM
cana-5074	17	31	no	no	NOUN
cana-5074	17	32	.	.	PUNCT
cana-5074	18	1	icmasd	icmasd	NOUN
cana-5074	18	2	(	(	PUNCT
cana-5074	18	3	2025	2025	NUM
cana-5074	18	4	)	)	PUNCT
cana-5074	18	5	460	460	NUM
cana-5074	19	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-5074	19	2	businesses	business	NOUN
cana-5074	19	3	face	face	VERB
cana-5074	19	4	a	a	DET
cana-5074	19	5	challenge	challenge	NOUN
cana-5074	19	6	in	in	ADP
cana-5074	19	7	processing	process	VERB
cana-5074	19	8	the	the	DET
cana-5074	19	9	vast	vast	ADJ
cana-5074	19	10	amount	amount	NOUN
cana-5074	19	11	of	of	ADP
cana-5074	19	12	customer	customer	NOUN
cana-5074	19	13	feedback	feedback	NOUN
cana-5074	19	14	.	.	PUNCT
cana-5074	20	1	however	however	ADV
cana-5074	20	2	,	,	PUNCT
cana-5074	20	3	this	this	DET
cana-5074	20	4	challenge	challenge	NOUN
cana-5074	20	5	also	also	ADV
cana-5074	20	6	presents	present	VERB
cana-5074	20	7	an	an	DET
cana-5074	20	8	opportunity	opportunity	NOUN
cana-5074	20	9	by	by	ADP
cana-5074	20	10	applying	apply	VERB
cana-5074	20	11	sentiment	sentiment	NOUN
cana-5074	20	12	analysis	analysis	NOUN
cana-5074	20	13	to	to	ADP
cana-5074	20	14	this	this	DET
cana-5074	20	15	wealth	wealth	NOUN
cana-5074	20	16	of	of	ADP
cana-5074	20	17	digital	digital	ADJ
cana-5074	20	18	content	content	NOUN
cana-5074	20	19	,	,	PUNCT
cana-5074	20	20	companies	company	NOUN
cana-5074	20	21	can	can	AUX
cana-5074	20	22	gain	gain	VERB
cana-5074	20	23	valuable	valuable	ADJ
cana-5074	20	24	insights	insight	NOUN
cana-5074	20	25	into	into	ADP
cana-5074	20	26	consumer	consumer	NOUN
cana-5074	20	27	attitudes	attitude	NOUN
cana-5074	20	28	(	(	PUNCT
cana-5074	20	29	lu	lu	NOUN
cana-5074	20	30	,	,	PUNCT
cana-5074	20	31	q	q	X
cana-5074	20	32	,	,	PUNCT
cana-5074	20	33	zhu	zhu	PROPN
cana-5074	20	34	,	,	PUNCT
cana-5074	20	35	2020	2020	NUM
cana-5074	20	36	)	)	PUNCT
cana-5074	20	37	.	.	PUNCT
cana-5074	21	1	this	this	PRON
cana-5074	21	2	helps	help	VERB
cana-5074	21	3	marketers	marketer	NOUN
cana-5074	21	4	identify	identify	VERB
cana-5074	21	5	customers	customer	NOUN
cana-5074	21	6	who	who	PRON
cana-5074	21	7	might	might	AUX
cana-5074	21	8	need	need	VERB
cana-5074	21	9	additional	additional	ADJ
cana-5074	21	10	attention	attention	NOUN
cana-5074	21	11	,	,	PUNCT
cana-5074	21	12	ultimately	ultimately	ADV
cana-5074	21	13	leading	lead	VERB
cana-5074	21	14	to	to	ADP
cana-5074	21	15	improved	improve	VERB
cana-5074	21	16	customer	customer	NOUN
cana-5074	21	17	satisfaction	satisfaction	NOUN
cana-5074	21	18	and	and	CCONJ
cana-5074	21	19	business	business	NOUN
cana-5074	21	20	performance	performance	NOUN
cana-5074	21	21	)	)	PUNCT
cana-5074	21	22	.	.	PUNCT
cana-5074	22	1	(	(	PUNCT
cana-5074	22	2	vyas	vyas	NOUN
cana-5074	22	3	and	and	CCONJ
cana-5074	22	4	uma	uma	PROPN
cana-5074	22	5	2019	2019	NUM
cana-5074	22	6	)	)	PUNCT
cana-5074	22	7	.	.	PUNCT
cana-5074	23	1	sentiment	sentiment	NOUN
cana-5074	23	2	analysis	analysis	NOUN
cana-5074	23	3	represents	represent	VERB
cana-5074	23	4	a	a	DET
cana-5074	23	5	fascinating	fascinating	ADJ
cana-5074	23	6	intersection	intersection	NOUN
cana-5074	23	7	of	of	ADP
cana-5074	23	8	multiple	multiple	ADJ
cana-5074	23	9	academic	academic	ADJ
cana-5074	23	10	disciplines	discipline	NOUN
cana-5074	23	11	,	,	PUNCT
cana-5074	23	12	drawing	draw	VERB
cana-5074	23	13	from	from	ADP
cana-5074	23	14	diverse	diverse	ADJ
cana-5074	23	15	fields	field	NOUN
cana-5074	23	16	such	such	ADJ
cana-5074	23	17	as	as	ADP
cana-5074	23	18	psychology	psychology	NOUN
cana-5074	23	19	to	to	PART
cana-5074	23	20	understand	understand	VERB
cana-5074	23	21	human	human	ADJ
cana-5074	23	22	emotions	emotion	NOUN
cana-5074	23	23	,	,	PUNCT
cana-5074	23	24	sociology	sociology	NOUN
cana-5074	23	25	to	to	PART
cana-5074	23	26	comprehend	comprehend	VERB
cana-5074	23	27	social	social	ADJ
cana-5074	23	28	contexts	contexts	NOUN
cana-5074	23	29	,	,	PUNCT
cana-5074	23	30	natural	natural	ADJ
cana-5074	23	31	language	language	NOUN
cana-5074	23	32	processing	processing	NOUN
cana-5074	23	33	to	to	PART
cana-5074	23	34	interpret	interpret	VERB
cana-5074	23	35	text	text	NOUN
cana-5074	23	36	,	,	PUNCT
cana-5074	23	37	and	and	CCONJ
cana-5074	23	38	machine	machine	NOUN
cana-5074	23	39	learning	learn	VERB
cana-5074	23	40	to	to	PART
cana-5074	23	41	automate	automate	VERB
cana-5074	23	42	analysis	analysis	NOUN
cana-5074	23	43	at	at	ADP
cana-5074	23	44	scale	scale	NOUN
cana-5074	23	45	(	(	PUNCT
cana-5074	23	46	liu	liu	PROPN
cana-5074	23	47	b	b	PROPN
cana-5074	23	48	(	(	PUNCT
cana-5074	23	49	2020	2020	NUM
cana-5074	23	50	)	)	PUNCT
cana-5074	23	51	.	.	PUNCT
cana-5074	24	1	the	the	DET
cana-5074	24	2	field	field	NOUN
cana-5074	24	3	has	have	AUX
cana-5074	24	4	undergone	undergo	VERB
cana-5074	24	5	a	a	DET
cana-5074	24	6	remarkable	remarkable	ADJ
cana-5074	24	7	transformation	transformation	NOUN
cana-5074	24	8	in	in	ADP
cana-5074	24	9	recent	recent	ADJ
cana-5074	24	10	years	year	NOUN
cana-5074	24	11	,	,	PUNCT
cana-5074	24	12	primarily	primarily	ADV
cana-5074	24	13	driven	drive	VERB
cana-5074	24	14	by	by	ADP
cana-5074	24	15	two	two	NUM
cana-5074	24	16	key	key	ADJ
cana-5074	24	17	factors	factor	NOUN
cana-5074	24	18	:	:	PUNCT
cana-5074	24	19	the	the	DET
cana-5074	24	20	unprecedented	unprecedented	ADJ
cana-5074	24	21	explosion	explosion	NOUN
cana-5074	24	22	in	in	ADP
cana-5074	24	23	available	available	ADJ
cana-5074	24	24	data	datum	NOUN
cana-5074	24	25	and	and	CCONJ
cana-5074	24	26	the	the	DET
cana-5074	24	27	dramatic	dramatic	ADJ
cana-5074	24	28	increase	increase	NOUN
cana-5074	24	29	in	in	ADP
cana-5074	24	30	computational	computational	ADJ
cana-5074	24	31	capabilities	capability	NOUN
cana-5074	24	32	.	.	PUNCT
cana-5074	25	1	this	this	DET
cana-5074	25	2	technological	technological	ADJ
cana-5074	25	3	evolution	evolution	NOUN
cana-5074	25	4	has	have	AUX
cana-5074	25	5	pushed	push	VERB
cana-5074	25	6	machine	machine	NOUN
cana-5074	25	7	learning	learning	NOUN
cana-5074	25	8	to	to	ADP
cana-5074	25	9	the	the	DET
cana-5074	25	10	forefront	forefront	NOUN
cana-5074	25	11	,	,	PUNCT
cana-5074	25	12	making	make	VERB
cana-5074	25	13	it	it	PRON
cana-5074	25	14	the	the	DET
cana-5074	25	15	preferred	prefer	VERB
cana-5074	25	16	methodology	methodology	NOUN
cana-5074	25	17	for	for	ADP
cana-5074	25	18	conducting	conduct	VERB
cana-5074	25	19	sentiment	sentiment	NOUN
cana-5074	25	20	analysis	analysis	NOUN
cana-5074	25	21	in	in	ADP
cana-5074	25	22	modern	modern	ADJ
cana-5074	25	23	applications	application	NOUN
cana-5074	25	24	(	(	PUNCT
cana-5074	25	25	luo	luo	PROPN
cana-5074	25	26	,	,	PUNCT
cana-5074	25	27	j	j	PROPN
cana-5074	25	28	,	,	PUNCT
cana-5074	25	29	huang	huang	PROPN
cana-5074	25	30	s	s	PROPN
cana-5074	25	31	,	,	PUNCT
cana-5074	25	32	2020	2020	NUM
cana-5074	25	33	)	)	PUNCT
cana-5074	25	34	.	.	PUNCT
cana-5074	26	1	the	the	DET
cana-5074	26	2	academic	academic	ADJ
cana-5074	26	3	landscape	landscape	NOUN
cana-5074	26	4	surrounding	surround	VERB
cana-5074	26	5	sentiment	sentiment	NOUN
cana-5074	26	6	analysis	analysis	NOUN
cana-5074	26	7	is	be	AUX
cana-5074	26	8	particularly	particularly	ADV
cana-5074	26	9	rich	rich	ADJ
cana-5074	26	10	,	,	PUNCT
cana-5074	26	11	featuring	feature	VERB
cana-5074	26	12	extensive	extensive	ADJ
cana-5074	26	13	research	research	NOUN
cana-5074	26	14	and	and	CCONJ
cana-5074	26	15	numerous	numerous	ADJ
cana-5074	26	16	studies	study	NOUN
cana-5074	26	17	.	.	PUNCT
cana-5074	27	1	what	what	PRON
cana-5074	27	2	's	be	AUX
cana-5074	27	3	especially	especially	ADV
cana-5074	27	4	noteworthy	noteworthy	ADJ
cana-5074	27	5	is	be	AUX
cana-5074	27	6	the	the	DET
cana-5074	27	7	presence	presence	NOUN
cana-5074	27	8	of	of	ADP
cana-5074	27	9	secondary	secondary	ADJ
cana-5074	27	10	studies	study	NOUN
cana-5074	27	11	and	and	CCONJ
cana-5074	27	12	specialized	specialized	ADJ
cana-5074	27	13	research	research	NOUN
cana-5074	27	14	efforts	effort	NOUN
cana-5074	27	15	that	that	PRON
cana-5074	27	16	analyze	analyze	VERB
cana-5074	27	17	and	and	CCONJ
cana-5074	27	18	synthesize	synthesize	VERB
cana-5074	27	19	findings	finding	NOUN
cana-5074	27	20	from	from	ADP
cana-5074	27	21	multiple	multiple	ADJ
cana-5074	27	22	primary	primary	ADJ
cana-5074	27	23	research	research	NOUN
cana-5074	27	24	papers	paper	NOUN
cana-5074	27	25	(	(	PUNCT
cana-5074	27	26	hung	hang	VERB
cana-5074	27	27	bt	bt	NOUN
cana-5074	27	28	,	,	PUNCT
cana-5074	27	29	2020	2020	NUM
cana-5074	27	30	)	)	PUNCT
cana-5074	27	31	.	.	PUNCT
cana-5074	28	1	these	these	DET
cana-5074	28	2	secondary	secondary	ADJ
cana-5074	28	3	studies	study	NOUN
cana-5074	28	4	serve	serve	VERB
cana-5074	28	5	a	a	DET
cana-5074	28	6	crucial	crucial	ADJ
cana-5074	28	7	role	role	NOUN
cana-5074	28	8	in	in	ADP
cana-5074	28	9	the	the	DET
cana-5074	28	10	broader	broad	ADJ
cana-5074	28	11	research	research	NOUN
cana-5074	28	12	ecosystem	ecosystem	NOUN
cana-5074	28	13	.	.	PUNCT
cana-5074	29	1	in	in	ADP
cana-5074	29	2	the	the	DET
cana-5074	29	3	context	context	NOUN
cana-5074	29	4	of	of	ADP
cana-5074	29	5	software	software	NOUN
cana-5074	29	6	engineering	engineering	NOUN
cana-5074	29	7	,	,	PUNCT
cana-5074	29	8	secondary	secondary	ADJ
cana-5074	29	9	studies	study	NOUN
cana-5074	29	10	gained	gain	VERB
cana-5074	29	11	prominence	prominence	NOUN
cana-5074	29	12	in	in	ADP
cana-5074	29	13	2004	2004	NUM
cana-5074	29	14	with	with	ADP
cana-5074	29	15	the	the	DET
cana-5074	29	16	introduction	introduction	NOUN
cana-5074	29	17	of	of	ADP
cana-5074	29	18	"	"	PUNCT
cana-5074	29	19	evidence	evidence	NOUN
cana-5074	29	20	-	-	PUNCT
cana-5074	29	21	based	base	VERB
cana-5074	29	22	software	software	NOUN
cana-5074	29	23	engineering	engineering	NOUN
cana-5074	29	24	"	"	PUNCT
cana-5074	29	25	(	(	PUNCT
cana-5074	29	26	ebse	ebse	NOUN
cana-5074	29	27	)	)	PUNCT
cana-5074	29	28	by	by	ADP
cana-5074	29	29	kitchenham	kitchenham	PROPN
cana-5074	29	30	and	and	CCONJ
cana-5074	29	31	colleagues	colleague	NOUN
cana-5074	29	32	(	(	PUNCT
cana-5074	29	33	hussain	hussain	PROPN
cana-5074	29	34	,	,	PUNCT
cana-5074	29	35	a	a	PRON
cana-5074	29	36	,	,	PUNCT
cana-5074	29	37	cambria	cambria	NOUN
cana-5074	29	38	,	,	PUNCT
cana-5074	29	39	2018	2018	NUM
cana-5074	29	40	)	)	PUNCT
cana-5074	29	41	.	.	PUNCT
cana-5074	30	1	this	this	PRON
cana-5074	30	2	marked	mark	VERB
cana-5074	30	3	a	a	DET
cana-5074	30	4	significant	significant	ADJ
cana-5074	30	5	shift	shift	NOUN
cana-5074	30	6	in	in	ADP
cana-5074	30	7	how	how	SCONJ
cana-5074	30	8	software	software	NOUN
cana-5074	30	9	engineering	engineering	NOUN
cana-5074	30	10	research	research	NOUN
cana-5074	30	11	was	be	AUX
cana-5074	30	12	conducted	conduct	VERB
cana-5074	30	13	and	and	CCONJ
cana-5074	30	14	evaluated	evaluate	VERB
cana-5074	30	15	.	.	PUNCT
cana-5074	31	1	the	the	DET
cana-5074	31	2	concept	concept	NOUN
cana-5074	31	3	,	,	PUNCT
cana-5074	31	4	borrowed	borrow	VERB
cana-5074	31	5	from	from	ADP
cana-5074	31	6	medical	medical	ADJ
cana-5074	31	7	research	research	NOUN
cana-5074	31	8	methodologies	methodology	NOUN
cana-5074	31	9	,	,	PUNCT
cana-5074	31	10	has	have	AUX
cana-5074	31	11	since	since	ADV
cana-5074	31	12	become	become	AUX
cana-5074	31	13	deeply	deeply	ADV
cana-5074	31	14	embedded	embed	VERB
cana-5074	31	15	in	in	ADP
cana-5074	31	16	software	software	NOUN
cana-5074	31	17	engineering	engineering	NOUN
cana-5074	31	18	research	research	NOUN
cana-5074	31	19	practices	practice	NOUN
cana-5074	31	20	(	(	PUNCT
cana-5074	31	21	ji	ji	X
cana-5074	31	22	,	,	PUNCT
cana-5074	31	23	c	c	PROPN
cana-5074	31	24	and	and	CCONJ
cana-5074	31	25	wu	wu	PROPN
cana-5074	31	26	h	h	PROPN
cana-5074	31	27	,	,	PUNCT
cana-5074	31	28	2020	2020	NUM
cana-5074	31	29	)	)	PUNCT
cana-5074	31	30	.	.	PUNCT
cana-5074	32	1	today	today	NOUN
cana-5074	32	2	,	,	PUNCT
cana-5074	32	3	these	these	DET
cana-5074	32	4	secondary	secondary	ADJ
cana-5074	32	5	studies	study	NOUN
cana-5074	32	6	serve	serve	VERB
cana-5074	32	7	as	as	ADP
cana-5074	32	8	fundamental	fundamental	ADJ
cana-5074	32	9	tools	tool	NOUN
cana-5074	32	10	for	for	ADP
cana-5074	32	11	researchers	researcher	NOUN
cana-5074	32	12	,	,	PUNCT
cana-5074	32	13	helping	help	VERB
cana-5074	32	14	them	they	PRON
cana-5074	32	15	synthesize	synthesize	VERB
cana-5074	32	16	and	and	CCONJ
cana-5074	32	17	make	make	VERB
cana-5074	32	18	sense	sense	NOUN
cana-5074	32	19	of	of	ADP
cana-5074	32	20	the	the	DET
cana-5074	32	21	vast	vast	ADJ
cana-5074	32	22	body	body	NOUN
cana-5074	32	23	of	of	ADP
cana-5074	32	24	existing	exist	VERB
cana-5074	32	25	research	research	NOUN
cana-5074	32	26	systematically	systematically	ADV
cana-5074	32	27	and	and	CCONJ
cana-5074	32	28	methodically	methodically	ADV
cana-5074	32	29	(	(	PUNCT
cana-5074	32	30	jia	jia	PROPN
cana-5074	32	31	z	z	PROPN
cana-5074	32	32	,	,	PUNCT
cana-5074	32	33	et	et	PROPN
cana-5074	32	34	al	al	PROPN
cana-5074	32	35	,	,	PUNCT
cana-5074	32	36	2020	2020	NUM
cana-5074	32	37	)	)	PUNCT
cana-5074	32	38	.	.	PUNCT
cana-5074	33	1	this	this	DET
cana-5074	33	2	structured	structured	ADJ
cana-5074	33	3	approach	approach	NOUN
cana-5074	33	4	to	to	ADP
cana-5074	33	5	reviewing	review	VERB
cana-5074	33	6	and	and	CCONJ
cana-5074	33	7	analyzing	analyze	VERB
cana-5074	33	8	existing	exist	VERB
cana-5074	33	9	research	research	NOUN
cana-5074	33	10	has	have	AUX
cana-5074	33	11	become	become	VERB
cana-5074	33	12	increasingly	increasingly	ADV
cana-5074	33	13	important	important	ADJ
cana-5074	33	14	as	as	SCONJ
cana-5074	33	15	the	the	DET
cana-5074	33	16	volume	volume	NOUN
cana-5074	33	17	of	of	ADP
cana-5074	33	18	primary	primary	ADJ
cana-5074	33	19	research	research	NOUN
cana-5074	33	20	continues	continue	VERB
cana-5074	33	21	to	to	PART
cana-5074	33	22	grow	grow	VERB
cana-5074	33	23	,	,	PUNCT
cana-5074	33	24	helping	help	VERB
cana-5074	33	25	researchers	researcher	NOUN
cana-5074	33	26	identify	identify	VERB
cana-5074	33	27	patterns	pattern	NOUN
cana-5074	33	28	,	,	PUNCT
cana-5074	33	29	trends	trend	NOUN
cana-5074	33	30	,	,	PUNCT
cana-5074	33	31	and	and	CCONJ
cana-5074	33	32	gaps	gap	NOUN
cana-5074	33	33	in	in	ADP
cana-5074	33	34	current	current	ADJ
cana-5074	33	35	knowledge	knowledge	NOUN
cana-5074	33	36	while	while	SCONJ
cana-5074	33	37	providing	provide	VERB
cana-5074	33	38	a	a	DET
cana-5074	33	39	solid	solid	ADJ
cana-5074	33	40	foundation	foundation	NOUN
cana-5074	33	41	for	for	ADP
cana-5074	33	42	future	future	ADJ
cana-5074	33	43	research	research	NOUN
cana-5074	33	44	directions	direction	NOUN
cana-5074	33	45	(	(	PUNCT
cana-5074	33	46	jiang	jiang	PROPN
cana-5074	33	47	,	,	PUNCT
cana-5074	33	48	t	t	PROPN
cana-5074	33	49	,	,	PUNCT
cana-5074	33	50	et	et	PROPN
cana-5074	33	51	,	,	PUNCT
cana-5074	33	52	al	al	PROPN
cana-5074	33	53	)	)	PUNCT
cana-5074	33	54	.	.	PUNCT
cana-5074	34	1	there	there	PRON
cana-5074	34	2	are	be	VERB
cana-5074	34	3	mainly	mainly	ADV
cana-5074	34	4	two	two	NUM
cana-5074	34	5	types	type	NOUN
cana-5074	34	6	of	of	ADP
cana-5074	34	7	systematic	systematic	ADJ
cana-5074	34	8	secondary	secondary	ADJ
cana-5074	34	9	studies	study	NOUN
cana-5074	34	10	that	that	PRON
cana-5074	34	11	are	be	AUX
cana-5074	34	12	involved	involve	VERB
cana-5074	34	13	:	:	PUNCT
cana-5074	34	14	i.	i.	PROPN
cana-5074	34	15	a	a	DET
cana-5074	34	16	systematic	systematic	ADJ
cana-5074	34	17	literature	literature	NOUN
cana-5074	34	18	review	review	NOUN
cana-5074	34	19	(	(	PUNCT
cana-5074	34	20	slr	slr	NOUN
cana-5074	34	21	)	)	PUNCT
cana-5074	34	22	is	be	AUX
cana-5074	34	23	a	a	DET
cana-5074	34	24	comprehensive	comprehensive	ADJ
cana-5074	34	25	research	research	NOUN
cana-5074	34	26	method	method	NOUN
cana-5074	34	27	that	that	PRON
cana-5074	34	28	involves	involve	VERB
cana-5074	34	29	three	three	NUM
cana-5074	34	30	key	key	ADJ
cana-5074	34	31	steps	step	NOUN
cana-5074	34	32	:	:	PUNCT
cana-5074	34	33	finding	find	VERB
cana-5074	34	34	relevant	relevant	ADJ
cana-5074	34	35	original	original	ADJ
cana-5074	34	36	studies	study	NOUN
cana-5074	34	37	,	,	PUNCT
cana-5074	34	38	gathering	gather	VERB
cana-5074	34	39	specific	specific	ADJ
cana-5074	34	40	data	datum	NOUN
cana-5074	34	41	related	relate	VERB
cana-5074	34	42	to	to	ADP
cana-5074	34	43	the	the	DET
cana-5074	34	44	research	research	NOUN
cana-5074	34	45	questions	question	NOUN
cana-5074	34	46	,	,	PUNCT
cana-5074	34	47	and	and	CCONJ
cana-5074	34	48	analyzing	analyze	VERB
cana-5074	34	49	this	this	DET
cana-5074	34	50	information	information	NOUN
cana-5074	34	51	to	to	PART
cana-5074	34	52	draw	draw	VERB
cana-5074	34	53	meaningful	meaningful	ADJ
cana-5074	34	54	conclusions	conclusion	NOUN
cana-5074	34	55	.	.	PUNCT
cana-5074	35	1	what	what	PRON
cana-5074	35	2	sets	set	VERB
cana-5074	35	3	slrs	slrs	PROPN
cana-5074	35	4	apart	apart	ADV
cana-5074	35	5	is	be	AUX
cana-5074	35	6	their	their	PRON
cana-5074	35	7	adherence	adherence	NOUN
cana-5074	35	8	to	to	ADP
cana-5074	35	9	strict	strict	ADJ
cana-5074	35	10	methodological	methodological	ADJ
cana-5074	35	11	guidelines	guideline	NOUN
cana-5074	35	12	,	,	PUNCT
cana-5074	35	13	ensuring	ensure	VERB
cana-5074	35	14	that	that	SCONJ
cana-5074	35	15	the	the	DET
cana-5074	35	16	review	review	NOUN
cana-5074	35	17	process	process	NOUN
cana-5074	35	18	remains	remain	VERB
cana-5074	35	19	objective	objective	ADJ
cana-5074	35	20	and	and	CCONJ
cana-5074	35	21	can	can	AUX
cana-5074	35	22	be	be	AUX
cana-5074	35	23	replicated	replicate	VERB
cana-5074	35	24	by	by	ADP
cana-5074	35	25	other	other	ADJ
cana-5074	35	26	researchers	researcher	NOUN
cana-5074	35	27	.	.	PUNCT
cana-5074	36	1	ii	ii	PROPN
cana-5074	36	2	.	.	PUNCT
cana-5074	37	1	systematic	systematic	ADJ
cana-5074	37	2	mapping	mapping	NOUN
cana-5074	37	3	study	study	NOUN
cana-5074	37	4	(	(	PUNCT
cana-5074	37	5	sms	sms	PROPN
cana-5074	37	6	)	)	PUNCT
cana-5074	37	7	takes	take	VERB
cana-5074	37	8	a	a	DET
cana-5074	37	9	broader	broad	ADJ
cana-5074	37	10	view	view	NOUN
cana-5074	37	11	by	by	ADP
cana-5074	37	12	creating	create	VERB
cana-5074	37	13	a	a	DET
cana-5074	37	14	landscape	landscape	NOUN
cana-5074	37	15	overview	overview	NOUN
cana-5074	37	16	of	of	ADP
cana-5074	37	17	a	a	DET
cana-5074	37	18	specific	specific	ADJ
cana-5074	37	19	research	research	NOUN
cana-5074	37	20	field	field	NOUN
cana-5074	37	21	.	.	PUNCT
cana-5074	38	1	rather	rather	ADV
cana-5074	38	2	than	than	ADP
cana-5074	38	3	diving	dive	VERB
cana-5074	38	4	deep	deep	ADV
cana-5074	38	5	into	into	ADP
cana-5074	38	6	specific	specific	ADJ
cana-5074	38	7	questions	question	NOUN
cana-5074	38	8	,	,	PUNCT
cana-5074	38	9	an	an	DET
cana-5074	38	10	sms	sms	NOUN
cana-5074	38	11	organizes	organize	VERB
cana-5074	38	12	and	and	CCONJ
cana-5074	38	13	classifies	classify	VERB
cana-5074	38	14	existing	exist	VERB
cana-5074	38	15	research	research	NOUN
cana-5074	38	16	according	accord	VERB
cana-5074	38	17	to	to	ADP
cana-5074	38	18	various	various	ADJ
cana-5074	38	19	categories	category	NOUN
cana-5074	38	20	or	or	CCONJ
cana-5074	38	21	dimensions	dimension	NOUN
cana-5074	38	22	.	.	PUNCT
cana-5074	39	1	this	this	DET
cana-5074	39	2	approach	approach	NOUN
cana-5074	39	3	helps	help	VERB
cana-5074	39	4	researchers	researcher	NOUN
cana-5074	39	5	understand	understand	VERB
cana-5074	39	6	the	the	DET
cana-5074	39	7	overall	overall	ADJ
cana-5074	39	8	structure	structure	NOUN
cana-5074	39	9	and	and	CCONJ
cana-5074	39	10	patterns	pattern	NOUN
cana-5074	39	11	within	within	ADP
cana-5074	39	12	a	a	DET
cana-5074	39	13	research	research	NOUN
cana-5074	39	14	area	area	NOUN
cana-5074	39	15	by	by	ADP
cana-5074	39	16	creating	create	VERB
cana-5074	39	17	a	a	DET
cana-5074	39	18	highlevel	highlevel	ADJ
cana-5074	39	19	map	map	NOUN
cana-5074	39	20	of	of	ADP
cana-5074	39	21	existing	exist	VERB
cana-5074	39	22	studies	study	NOUN
cana-5074	39	23	.	.	PUNCT
cana-5074	40	1	communications	communication	NOUN
cana-5074	40	2	on	on	ADP
cana-5074	40	3	applied	apply	VERB
cana-5074	40	4	nonlinear	nonlinear	ADJ
cana-5074	40	5	analysis	analysis	NOUN
cana-5074	40	6	issn	issn	NOUN
cana-5074	40	7	:	:	PUNCT
cana-5074	40	8	1074	1074	NUM
cana-5074	40	9	-	-	PUNCT
cana-5074	40	10	133x	133x	NUM
cana-5074	40	11	vol	vol	NOUN
cana-5074	40	12	32	32	NUM
cana-5074	40	13	no	no	NOUN
cana-5074	40	14	.	.	PUNCT
cana-5074	41	1	icmasd	icmasd	NOUN
cana-5074	41	2	(	(	PUNCT
cana-5074	41	3	2025	2025	NUM
cana-5074	41	4	)	)	PUNCT
cana-5074	41	5	461	461	NUM
cana-5074	41	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5074	41	7	this	this	DET
cana-5074	41	8	research	research	NOUN
cana-5074	41	9	aims	aim	VERB
cana-5074	41	10	to	to	PART
cana-5074	41	11	comprehensively	comprehensively	ADV
cana-5074	41	12	analyze	analyze	VERB
cana-5074	41	13	the	the	DET
cana-5074	41	14	field	field	NOUN
cana-5074	41	15	of	of	ADP
cana-5074	41	16	sentiment	sentiment	NOUN
cana-5074	41	17	analysis	analysis	NOUN
cana-5074	41	18	by	by	ADP
cana-5074	41	19	examining	examine	VERB
cana-5074	41	20	and	and	CCONJ
cana-5074	41	21	synthesizing	synthesize	VERB
cana-5074	41	22	findings	finding	NOUN
cana-5074	41	23	from	from	ADP
cana-5074	41	24	existing	exist	VERB
cana-5074	41	25	systematic	systematic	ADJ
cana-5074	41	26	literature	literature	NOUN
cana-5074	41	27	reviews	review	NOUN
cana-5074	41	28	(	(	PUNCT
cana-5074	41	29	slr	slr	X
cana-5074	41	30	)	)	PUNCT
cana-5074	41	31	and	and	CCONJ
cana-5074	41	32	systematic	systematic	ADJ
cana-5074	41	33	mapping	mapping	NOUN
cana-5074	41	34	studies	study	NOUN
cana-5074	41	35	(	(	PUNCT
cana-5074	41	36	sms	sms	PROPN
cana-5074	41	37	)	)	PUNCT
cana-5074	41	38	.	.	PUNCT
cana-5074	42	1	this	this	DET
cana-5074	42	2	work	work	NOUN
cana-5074	42	3	represents	represent	VERB
cana-5074	42	4	a	a	DET
cana-5074	42	5	tertiary	tertiary	ADJ
cana-5074	42	6	study	study	NOUN
cana-5074	42	7	a	a	DET
cana-5074	42	8	systematic	systematic	ADJ
cana-5074	42	9	review	review	NOUN
cana-5074	42	10	of	of	ADP
cana-5074	42	11	systematic	systematic	ADJ
cana-5074	42	12	reviews	review	NOUN
cana-5074	42	13	which	which	PRON
cana-5074	42	14	helps	helps	AUX
cana-5074	42	15	identify	identify	VERB
cana-5074	42	16	promising	promising	ADJ
cana-5074	42	17	areas	area	NOUN
cana-5074	42	18	for	for	ADP
cana-5074	42	19	future	future	ADJ
cana-5074	42	20	research	research	NOUN
cana-5074	42	21	.	.	PUNCT
cana-5074	43	1	the	the	DET
cana-5074	43	2	study	study	NOUN
cana-5074	43	3	maps	map	VERB
cana-5074	43	4	out	out	ADP
cana-5074	43	5	various	various	ADJ
cana-5074	43	6	aspects	aspect	NOUN
cana-5074	43	7	of	of	ADP
cana-5074	43	8	sentiment	sentiment	NOUN
cana-5074	43	9	analysis	analysis	NOUN
cana-5074	43	10	,	,	PUNCT
cana-5074	43	11	including	include	VERB
cana-5074	43	12	models	model	NOUN
cana-5074	43	13	,	,	PUNCT
cana-5074	43	14	tasks	task	NOUN
cana-5074	43	15	,	,	PUNCT
cana-5074	43	16	features	feature	NOUN
cana-5074	43	17	,	,	PUNCT
cana-5074	43	18	datasets	dataset	NOUN
cana-5074	43	19	,	,	PUNCT
cana-5074	43	20	and	and	CCONJ
cana-5074	43	21	approaches	approach	NOUN
cana-5074	43	22	,	,	PUNCT
cana-5074	43	23	while	while	SCONJ
cana-5074	43	24	also	also	ADV
cana-5074	43	25	highlighting	highlight	VERB
cana-5074	43	26	challenges	challenge	NOUN
cana-5074	43	27	and	and	CCONJ
cana-5074	43	28	unresolved	unresolved	ADJ
cana-5074	43	29	issues	issue	NOUN
cana-5074	43	30	in	in	ADP
cana-5074	43	31	the	the	DET
cana-5074	43	32	field	field	NOUN
cana-5074	43	33	.	.	PUNCT
cana-5074	44	1	while	while	SCONJ
cana-5074	44	2	tertiary	tertiary	ADJ
cana-5074	44	3	studies	study	NOUN
cana-5074	44	4	have	have	AUX
cana-5074	44	5	been	be	AUX
cana-5074	44	6	conducted	conduct	VERB
cana-5074	44	7	in	in	ADP
cana-5074	44	8	other	other	ADJ
cana-5074	44	9	areas	area	NOUN
cana-5074	44	10	like	like	ADP
cana-5074	44	11	software	software	NOUN
cana-5074	44	12	engineering	engineering	NOUN
cana-5074	44	13	and	and	CCONJ
cana-5074	44	14	testing	testing	NOUN
cana-5074	44	15	,	,	PUNCT
cana-5074	44	16	this	this	PRON
cana-5074	44	17	represents	represent	VERB
cana-5074	44	18	the	the	DET
cana-5074	44	19	first	first	ADJ
cana-5074	44	20	tertiary	tertiary	ADJ
cana-5074	44	21	study	study	NOUN
cana-5074	44	22	focused	focus	VERB
cana-5074	44	23	specifically	specifically	ADV
cana-5074	44	24	on	on	ADP
cana-5074	44	25	sentiment	sentiment	NOUN
cana-5074	44	26	analysis	analysis	NOUN
cana-5074	44	27	.	.	PUNCT
cana-5074	45	1	the	the	DET
cana-5074	45	2	paper	paper	NOUN
cana-5074	45	3	makes	make	VERB
cana-5074	45	4	three	three	NUM
cana-5074	45	5	primary	primary	ADJ
cana-5074	45	6	contributions	contribution	NOUN
cana-5074	45	7	:	:	PUNCT
cana-5074	46	1	i.it	i.it	ADP
cana-5074	46	2	presents	present	VERB
cana-5074	46	3	the	the	DET
cana-5074	46	4	first	first	ADJ
cana-5074	46	5	-	-	PUNCT
cana-5074	46	6	ever	ever	ADV
cana-5074	46	7	tertiary	tertiary	ADJ
cana-5074	46	8	study	study	NOUN
cana-5074	46	9	on	on	ADP
cana-5074	46	10	sentiment	sentiment	NOUN
cana-5074	46	11	analysis	analysis	NOUN
cana-5074	46	12	.	.	PUNCT
cana-5074	47	1	ii.it	ii.it	PROPN
cana-5074	47	2	systematically	systematically	ADV
cana-5074	47	3	identifies	identify	VERB
cana-5074	47	4	and	and	CCONJ
cana-5074	47	5	synthesizes	synthesize	VERB
cana-5074	47	6	existing	exist	VERB
cana-5074	47	7	systematic	systematic	ADJ
cana-5074	47	8	reviews	review	NOUN
cana-5074	47	9	in	in	ADP
cana-5074	47	10	sentiment	sentiment	NOUN
cana-5074	47	11	analysis	analysis	NOUN
cana-5074	47	12	.	.	PUNCT
cana-5074	48	1	iii.it	iii.it	NOUN
cana-5074	48	2	incorporates	incorporate	VERB
cana-5074	48	3	recent	recent	ADJ
cana-5074	48	4	survey	survey	NOUN
cana-5074	48	5	papers	paper	NOUN
cana-5074	48	6	focusing	focus	VERB
cana-5074	48	7	on	on	ADP
cana-5074	48	8	deep	deep	ADJ
cana-5074	48	9	-	-	PUNCT
cana-5074	48	10	learning	learn	VERB
cana-5074	48	11	approaches	approach	NOUN
cana-5074	48	12	to	to	PART
cana-5074	48	13	sentiment	sentiment	NOUN
cana-5074	48	14	analysis	analysis	NOUN
cana-5074	48	15	and	and	CCONJ
cana-5074	48	16	discusses	discuss	VERB
cana-5074	48	17	important	important	ADJ
cana-5074	48	18	lexicons	lexicon	NOUN
cana-5074	48	19	in	in	ADP
cana-5074	48	20	the	the	DET
cana-5074	48	21	field	field	NOUN
cana-5074	48	22	.	.	PUNCT
cana-5074	49	1	the	the	DET
cana-5074	49	2	paper	paper	NOUN
cana-5074	49	3	's	's	PART
cana-5074	49	4	structure	structure	NOUN
cana-5074	49	5	follows	follow	VERB
cana-5074	49	6	the	the	DET
cana-5074	49	7	sections	section	NOUN
cana-5074	49	8	covering	cover	VERB
cana-5074	49	9	background	background	NOUN
cana-5074	49	10	information	information	NOUN
cana-5074	49	11	,	,	PUNCT
cana-5074	49	12	methodology	methodology	NOUN
cana-5074	49	13	,	,	PUNCT
cana-5074	49	14	detailed	detailed	ADJ
cana-5074	49	15	results	result	NOUN
cana-5074	49	16	,	,	PUNCT
cana-5074	49	17	discussion	discussion	NOUN
cana-5074	49	18	,	,	PUNCT
cana-5074	49	19	and	and	CCONJ
cana-5074	49	20	conclusions	conclusion	NOUN
cana-5074	49	21	.	.	PUNCT
cana-5074	50	1	1.1	1.1	NUM
cana-5074	50	2	.	.	PUNCT
cana-5074	51	1	research	research	NOUN
cana-5074	51	2	questions	question	NOUN
cana-5074	51	3	rq1	rq1	VERB
cana-5074	51	4	:	:	PUNCT
cana-5074	51	5	what	what	PRON
cana-5074	51	6	are	be	AUX
cana-5074	51	7	the	the	DET
cana-5074	51	8	various	various	ADJ
cana-5074	51	9	approaches	approach	NOUN
cana-5074	51	10	that	that	PRON
cana-5074	51	11	should	should	AUX
cana-5074	51	12	be	be	AUX
cana-5074	51	13	considered	consider	VERB
cana-5074	51	14	in	in	ADP
cana-5074	51	15	sentiment	sentiment	NOUN
cana-5074	51	16	analysis	analysis	NOUN
cana-5074	51	17	?	?	PUNCT
cana-5074	52	1	rq2	rq2	NOUN
cana-5074	52	2	:	:	PUNCT
cana-5074	52	3	what	what	PRON
cana-5074	52	4	domains	domain	NOUN
cana-5074	52	5	have	have	AUX
cana-5074	52	6	been	be	AUX
cana-5074	52	7	addressed	address	VERB
cana-5074	52	8	in	in	ADP
cana-5074	52	9	the	the	DET
cana-5074	52	10	adopted	adopt	VERB
cana-5074	52	11	datasets	dataset	NOUN
cana-5074	52	12	?	?	PUNCT
cana-5074	53	1	2	2	X
cana-5074	53	2	.	.	X
cana-5074	53	3	background	background	NOUN
cana-5074	53	4	and	and	CCONJ
cana-5074	53	5	related	relate	VERB
cana-5074	53	6	work	work	NOUN
cana-5074	53	7	sentiment	sentiment	NOUN
cana-5074	53	8	analysis	analysis	NOUN
cana-5074	53	9	and	and	CCONJ
cana-5074	53	10	opinion	opinion	NOUN
cana-5074	53	11	mining	mining	NOUN
cana-5074	53	12	are	be	AUX
cana-5074	53	13	terms	term	NOUN
cana-5074	53	14	that	that	PRON
cana-5074	53	15	are	be	AUX
cana-5074	53	16	often	often	ADV
cana-5074	53	17	used	use	VERB
cana-5074	53	18	interchangeably	interchangeably	ADV
cana-5074	53	19	.	.	PUNCT
cana-5074	54	1	some	some	DET
cana-5074	54	2	researchers	researcher	NOUN
cana-5074	54	3	point	point	VERB
cana-5074	54	4	out	out	ADP
cana-5074	54	5	a	a	DET
cana-5074	54	6	subtle	subtle	ADJ
cana-5074	54	7	distinction	distinction	NOUN
cana-5074	54	8	between	between	ADP
cana-5074	54	9	the	the	DET
cana-5074	54	10	two	two	NUM
cana-5074	54	11	,	,	PUNCT
cana-5074	54	12	suggesting	suggest	VERB
cana-5074	54	13	that	that	SCONJ
cana-5074	54	14	sentiments	sentiment	NOUN
cana-5074	54	15	refer	refer	VERB
cana-5074	54	16	to	to	ADP
cana-5074	54	17	feelings	feeling	NOUN
cana-5074	54	18	,	,	PUNCT
cana-5074	54	19	while	while	SCONJ
cana-5074	54	20	opinions	opinion	NOUN
cana-5074	54	21	represent	represent	VERB
cana-5074	54	22	more	more	ADJ
cana-5074	54	23	concrete	concrete	ADJ
cana-5074	54	24	thoughts	thought	NOUN
cana-5074	54	25	(	(	PUNCT
cana-5074	54	26	pozzi	pozzi	PROPN
cana-5074	54	27	et	et	PROPN
cana-5074	54	28	al	al	PROPN
cana-5074	54	29	.	.	PROPN
cana-5074	54	30	2017	2017	NUM
cana-5074	54	31	)	)	PUNCT
cana-5074	54	32	.	.	PUNCT
cana-5074	55	1	despite	despite	SCONJ
cana-5074	55	2	this	this	DET
cana-5074	55	3	nuance	nuance	NOUN
cana-5074	55	4	,	,	PUNCT
cana-5074	55	5	sentiments	sentiment	NOUN
cana-5074	55	6	and	and	CCONJ
cana-5074	55	7	opinions	opinion	NOUN
cana-5074	55	8	are	be	AUX
cana-5074	55	9	closely	closely	ADV
cana-5074	55	10	related	relate	VERB
cana-5074	55	11	concepts	concept	NOUN
cana-5074	55	12	,	,	PUNCT
cana-5074	55	13	and	and	CCONJ
cana-5074	55	14	when	when	SCONJ
cana-5074	55	15	discussing	discuss	VERB
cana-5074	55	16	one	one	NUM
cana-5074	55	17	,	,	PUNCT
cana-5074	55	18	the	the	DET
cana-5074	55	19	other	other	ADJ
cana-5074	55	20	is	be	AUX
cana-5074	55	21	generally	generally	ADV
cana-5074	55	22	implied	imply	VERB
cana-5074	55	23	.	.	PUNCT
cana-5074	56	1	therefore	therefore	ADV
cana-5074	56	2	,	,	PUNCT
cana-5074	56	3	this	this	DET
cana-5074	56	4	research	research	NOUN
cana-5074	56	5	uses	use	VERB
cana-5074	56	6	sentiment	sentiment	NOUN
cana-5074	56	7	analysis	analysis	NOUN
cana-5074	56	8	as	as	ADP
cana-5074	56	9	an	an	DET
cana-5074	56	10	overarching	overarching	ADJ
cana-5074	56	11	term	term	NOUN
cana-5074	56	12	to	to	PART
cana-5074	56	13	encompass	encompass	VERB
cana-5074	56	14	both	both	DET
cana-5074	56	15	sentiment	sentiment	NOUN
cana-5074	56	16	analysis	analysis	NOUN
cana-5074	56	17	and	and	CCONJ
cana-5074	56	18	opinion	opinion	NOUN
cana-5074	56	19	mining	mining	NOUN
cana-5074	56	20	.	.	PUNCT
cana-5074	57	1	sentiment	sentiment	NOUN
cana-5074	57	2	analysis	analysis	NOUN
cana-5074	57	3	encompasses	encompass	VERB
cana-5074	57	4	various	various	ADJ
cana-5074	57	5	tasks	task	NOUN
cana-5074	57	6	,	,	PUNCT
cana-5074	57	7	approaches	approach	NOUN
cana-5074	57	8	,	,	PUNCT
cana-5074	57	9	and	and	CCONJ
cana-5074	57	10	analysis	analysis	NOUN
cana-5074	57	11	types	type	NOUN
cana-5074	57	12	,	,	PUNCT
cana-5074	57	13	which	which	PRON
cana-5074	57	14	are	be	AUX
cana-5074	57	15	outlined	outline	VERB
cana-5074	57	16	in	in	ADP
cana-5074	57	17	this	this	DET
cana-5074	57	18	section	section	NOUN
cana-5074	57	19	.	.	PUNCT
cana-5074	58	1	additionally	additionally	ADV
cana-5074	58	2	,	,	PUNCT
cana-5074	58	3	fig	fig	NOUN
cana-5074	58	4	.	.	PUNCT
cana-5074	58	5	1	1	NUM
cana-5074	58	6	offers	offer	VERB
cana-5074	58	7	an	an	DET
cana-5074	58	8	overview	overview	NOUN
cana-5074	58	9	of	of	ADP
cana-5074	58	10	sentiment	sentiment	NOUN
cana-5074	58	11	analysis	analysis	NOUN
cana-5074	58	12	,	,	PUNCT
cana-5074	58	13	adapted	adapt	VERB
cana-5074	58	14	from	from	ADP
cana-5074	58	15	hemmatian	hemmatian	ADJ
cana-5074	58	16	and	and	CCONJ
cana-5074	58	17	sohrabi	sohrabi	NOUN
cana-5074	58	18	(	(	PUNCT
cana-5074	58	19	2017	2017	NUM
cana-5074	58	20	)	)	PUNCT
cana-5074	58	21	,	,	PUNCT
cana-5074	58	22	kumar	kumar	PROPN
cana-5074	58	23	and	and	CCONJ
cana-5074	58	24	jaiswal	jaiswal	PROPN
cana-5074	58	25	(	(	PUNCT
cana-5074	58	26	2020	2020	NUM
cana-5074	58	27	)	)	PUNCT
cana-5074	58	28	,	,	PUNCT
cana-5074	58	29	mite	mite	NOUN
cana-5074	58	30	-	-	PUNCT
cana-5074	58	31	baidal	baidal	NOUN
cana-5074	58	32	et	et	PROPN
cana-5074	58	33	al	al	PROPN
cana-5074	58	34	.	.	PROPN
cana-5074	59	1	(	(	PUNCT
cana-5074	59	2	2018	2018	NUM
cana-5074	59	3	)	)	PUNCT
cana-5074	59	4	,	,	PUNCT
cana-5074	59	5	pozzi	pozzi	PROPN
cana-5074	59	6	et	et	PROPN
cana-5074	59	7	al	al	PROPN
cana-5074	59	8	.	.	PROPN
cana-5074	60	1	(	(	PUNCT
cana-5074	60	2	2017	2017	NUM
cana-5074	60	3	)	)	PUNCT
cana-5074	60	4	,	,	PUNCT
cana-5074	60	5	and	and	CCONJ
cana-5074	60	6	ravi	ravi	NOUN
cana-5074	60	7	and	and	CCONJ
cana-5074	60	8	ravi	ravi	PROPN
cana-5074	60	9	(	(	PUNCT
cana-5074	60	10	2015	2015	NUM
cana-5074	60	11	)	)	PUNCT
cana-5074	60	12	.	.	PUNCT
cana-5074	61	1	according	accord	VERB
cana-5074	61	2	to	to	ADP
cana-5074	61	3	cambria	cambria	PROPN
cana-5074	61	4	et	et	PROPN
cana-5074	61	5	al	al	PROPN
cana-5074	61	6	.	.	PROPN
cana-5074	62	1	(	(	PUNCT
cana-5074	62	2	2017	2017	NUM
cana-5074	62	3	)	)	PUNCT
cana-5074	62	4	,	,	PUNCT
cana-5074	62	5	a	a	DET
cana-5074	62	6	holistic	holistic	ADJ
cana-5074	62	7	approach	approach	NOUN
cana-5074	62	8	to	to	ADP
cana-5074	62	9	sentiment	sentiment	NOUN
cana-5074	62	10	analysis	analysis	NOUN
cana-5074	62	11	is	be	AUX
cana-5074	62	12	necessary	necessary	ADJ
cana-5074	62	13	,	,	PUNCT
cana-5074	62	14	as	as	SCONJ
cana-5074	62	15	simple	simple	ADJ
cana-5074	62	16	categorization	categorization	NOUN
cana-5074	62	17	or	or	CCONJ
cana-5074	62	18	classification	classification	NOUN
cana-5074	62	19	is	be	AUX
cana-5074	62	20	insufficient	insufficient	ADJ
cana-5074	62	21	.	.	PUNCT
cana-5074	63	1	they	they	PRON
cana-5074	63	2	describe	describe	VERB
cana-5074	63	3	the	the	DET
cana-5074	63	4	problem	problem	NOUN
cana-5074	63	5	using	use	VERB
cana-5074	63	6	a	a	DET
cana-5074	63	7	three	three	NUM
cana-5074	63	8	-	-	PUNCT
cana-5074	63	9	layer	layer	NOUN
cana-5074	63	10	structure	structure	NOUN
cana-5074	63	11	that	that	PRON
cana-5074	63	12	covers	cover	VERB
cana-5074	63	13	15	15	NUM
cana-5074	63	14	natural	natural	ADJ
cana-5074	63	15	language	language	NOUN
cana-5074	63	16	processing	processing	NOUN
cana-5074	63	17	(	(	PUNCT
cana-5074	63	18	nlp	nlp	ADJ
cana-5074	63	19	)	)	PUNCT
cana-5074	63	20	challenges	challenge	NOUN
cana-5074	63	21	,	,	PUNCT
cana-5074	63	22	as	as	SCONJ
cana-5074	63	23	follows	follow	VERB
cana-5074	63	24	:	:	PUNCT
cana-5074	63	25	•	•	NUM
cana-5074	63	26	syntactics	syntactic	NOUN
cana-5074	63	27	layer	layer	NOUN
cana-5074	63	28	:	:	PUNCT
cana-5074	63	29	micro	micro	ADJ
cana-5074	63	30	text	text	NOUN
cana-5074	63	31	normalization	normalization	NOUN
cana-5074	63	32	,	,	PUNCT
cana-5074	63	33	sentence	sentence	NOUN
cana-5074	63	34	boundary	boundary	PROPN
cana-5074	63	35	disambiguation	disambiguation	PROPN
cana-5074	63	36	,	,	PUNCT
cana-5074	63	37	pos	pos	NOUN
cana-5074	63	38	tagging	tagging	NOUN
cana-5074	63	39	,	,	PUNCT
cana-5074	63	40	text	text	NOUN
cana-5074	63	41	chunking	chunking	NOUN
cana-5074	63	42	,	,	PUNCT
cana-5074	63	43	and	and	CCONJ
cana-5074	63	44	lemmatization	lemmatization	NOUN
cana-5074	63	45	.	.	PUNCT
cana-5074	64	1	•	•	NOUN
cana-5074	64	2	semantics	semantic	NOUN
cana-5074	64	3	layer	layer	NOUN
cana-5074	64	4	:	:	PUNCT
cana-5074	64	5	word	word	NOUN
cana-5074	64	6	sense	sense	NOUN
cana-5074	64	7	disambiguation	disambiguation	NOUN
cana-5074	64	8	,	,	PUNCT
cana-5074	64	9	concept	concept	NOUN
cana-5074	64	10	extraction	extraction	NOUN
cana-5074	64	11	,	,	PUNCT
cana-5074	64	12	named	name	VERB
cana-5074	64	13	entity	entity	NOUN
cana-5074	64	14	recognition	recognition	NOUN
cana-5074	64	15	,	,	PUNCT
cana-5074	64	16	anaphora	anaphora	ADJ
cana-5074	64	17	resolution	resolution	NOUN
cana-5074	64	18	,	,	PUNCT
cana-5074	64	19	and	and	CCONJ
cana-5074	64	20	subjectivity	subjectivity	NOUN
cana-5074	64	21	detection	detection	NOUN
cana-5074	64	22	.	.	PUNCT
cana-5074	65	1	communications	communication	NOUN
cana-5074	65	2	on	on	ADP
cana-5074	65	3	applied	apply	VERB
cana-5074	65	4	nonlinear	nonlinear	ADJ
cana-5074	65	5	analysis	analysis	NOUN
cana-5074	65	6	issn	issn	NOUN
cana-5074	65	7	:	:	PUNCT
cana-5074	65	8	1074	1074	NUM
cana-5074	65	9	-	-	PUNCT
cana-5074	65	10	133x	133x	NUM
cana-5074	65	11	vol	vol	NOUN
cana-5074	65	12	32	32	NUM
cana-5074	65	13	no	no	NOUN
cana-5074	65	14	.	.	PUNCT
cana-5074	66	1	icmasd	icmasd	NOUN
cana-5074	66	2	(	(	PUNCT
cana-5074	66	3	2025	2025	NUM
cana-5074	66	4	)	)	PUNCT
cana-5074	66	5	462	462	NUM
cana-5074	66	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5074	66	7	according	accord	VERB
cana-5074	66	8	to	to	ADP
cana-5074	66	9	(	(	PUNCT
cana-5074	66	10	jin	jin	NOUN
cana-5074	66	11	,	,	PUNCT
cana-5074	66	12	n	n	CCONJ
cana-5074	66	13	,	,	PUNCT
cana-5074	66	14	et	et	PROPN
cana-5074	66	15	al	al	PROPN
cana-5074	66	16	,	,	PUNCT
cana-5074	66	17	2020	2020	NUM
cana-5074	66	18	)	)	PUNCT
cana-5074	66	19	sentiment	sentiment	NOUN
cana-5074	66	20	analysis	analysis	NOUN
cana-5074	66	21	and	and	CCONJ
cana-5074	66	22	affective	affective	NOUN
cana-5074	66	23	computing	computing	NOUN
cana-5074	66	24	methodologies	methodology	NOUN
cana-5074	66	25	can	can	AUX
cana-5074	66	26	be	be	AUX
cana-5074	66	27	categorized	categorize	VERB
cana-5074	66	28	into	into	ADP
cana-5074	66	29	three	three	NUM
cana-5074	66	30	main	main	ADJ
cana-5074	66	31	groups	group	NOUN
cana-5074	66	32	:	:	PUNCT
cana-5074	66	33	(	(	PUNCT
cana-5074	66	34	1	1	X
cana-5074	66	35	)	)	PUNCT
cana-5074	66	36	techniques	technique	NOUN
cana-5074	66	37	based	base	VERB
cana-5074	66	38	on	on	ADP
cana-5074	66	39	knowledge	knowledge	NOUN
cana-5074	66	40	systems	system	NOUN
cana-5074	66	41	,	,	PUNCT
cana-5074	66	42	(	(	PUNCT
cana-5074	66	43	2	2	X
cana-5074	66	44	)	)	PUNCT
cana-5074	66	45	approaches	approach	NOUN
cana-5074	66	46	rooted	root	VERB
cana-5074	66	47	in	in	ADP
cana-5074	66	48	statistical	statistical	ADJ
cana-5074	66	49	analysis	analysis	NOUN
cana-5074	66	50	(	(	PUNCT
cana-5074	66	51	including	include	VERB
cana-5074	66	52	machine	machine	NOUN
cana-5074	66	53	learning	learning	NOUN
cana-5074	66	54	and	and	CCONJ
cana-5074	66	55	deep	deep	ADJ
cana-5074	66	56	learning	learning	NOUN
cana-5074	66	57	)	)	PUNCT
cana-5074	66	58	,	,	PUNCT
cana-5074	66	59	and	and	CCONJ
cana-5074	66	60	(	(	PUNCT
cana-5074	66	61	3	3	X
cana-5074	66	62	)	)	PUNCT
cana-5074	66	63	hybrid	hybrid	ADJ
cana-5074	66	64	methods	method	NOUN
cana-5074	66	65	that	that	PRON
cana-5074	66	66	integrate	integrate	VERB
cana-5074	66	67	both	both	DET
cana-5074	66	68	knowledge	knowledge	NOUN
cana-5074	66	69	-	-	PUNCT
cana-5074	66	70	based	base	VERB
cana-5074	66	71	and	and	CCONJ
cana-5074	66	72	statistical	statistical	ADJ
cana-5074	66	73	approaches	approach	NOUN
cana-5074	66	74	.	.	PUNCT
cana-5074	67	1	when	when	SCONJ
cana-5074	67	2	developing	develop	VERB
cana-5074	67	3	sentiment	sentiment	NOUN
cana-5074	67	4	analysis	analysis	NOUN
cana-5074	67	5	models	model	NOUN
cana-5074	67	6	,	,	PUNCT
cana-5074	67	7	researchers	researcher	NOUN
cana-5074	67	8	can	can	AUX
cana-5074	67	9	employ	employ	VERB
cana-5074	67	10	different	different	ADJ
cana-5074	67	11	preliminary	preliminary	ADJ
cana-5074	67	12	processing	processing	NOUN
cana-5074	67	13	techniques	technique	NOUN
cana-5074	67	14	and	and	CCONJ
cana-5074	67	15	feature	feature	NOUN
cana-5074	67	16	selection	selection	NOUN
cana-5074	67	17	methods	method	NOUN
cana-5074	67	18	(	(	PUNCT
cana-5074	67	19	joasiassen	joasiassen	NOUN
cana-5074	67	20	,	,	PUNCT
cana-5074	67	21	a.	a.	NOUN
cana-5074	67	22	,	,	PUNCT
cana-5074	67	23	et	et	PROPN
cana-5074	67	24	,	,	PUNCT
cana-5074	67	25	al	al	PROPN
cana-5074	67	26	)	)	PUNCT
cana-5074	67	27	.	.	PUNCT
cana-5074	68	1	the	the	DET
cana-5074	68	2	preliminary	preliminary	ADJ
cana-5074	68	3	processing	processing	NOUN
cana-5074	68	4	phase	phase	NOUN
cana-5074	68	5	involves	involve	VERB
cana-5074	68	6	normalizing	normalize	VERB
cana-5074	68	7	text	text	NOUN
cana-5074	68	8	data	datum	NOUN
cana-5074	68	9	through	through	ADP
cana-5074	68	10	various	various	ADJ
cana-5074	68	11	steps	step	NOUN
cana-5074	68	12	,	,	PUNCT
cana-5074	68	13	such	such	ADJ
cana-5074	68	14	as	as	ADP
cana-5074	68	15	eliminating	eliminate	VERB
cana-5074	68	16	articles	article	NOUN
cana-5074	68	17	and	and	CCONJ
cana-5074	68	18	implementing	implement	VERB
cana-5074	68	19	either	either	CCONJ
cana-5074	68	20	stemming	stem	VERB
cana-5074	68	21	or	or	CCONJ
cana-5074	68	22	lemmatization	lemmatization	NOUN
cana-5074	68	23	techniques	technique	NOUN
cana-5074	68	24	to	to	PART
cana-5074	68	25	standardize	standardize	VERB
cana-5074	68	26	word	word	NOUN
cana-5074	68	27	forms	form	NOUN
cana-5074	68	28	.	.	PUNCT
cana-5074	69	1	feature	feature	NOUN
cana-5074	69	2	selection	selection	NOUN
cana-5074	69	3	,	,	PUNCT
cana-5074	69	4	on	on	ADP
cana-5074	69	5	the	the	DET
cana-5074	69	6	other	other	ADJ
cana-5074	69	7	hand	hand	NOUN
cana-5074	69	8	,	,	PUNCT
cana-5074	69	9	focuses	focus	VERB
cana-5074	69	10	on	on	ADP
cana-5074	69	11	identifying	identify	VERB
cana-5074	69	12	which	which	PRON
cana-5074	69	13	specific	specific	ADJ
cana-5074	69	14	characteristics	characteristic	NOUN
cana-5074	69	15	of	of	ADP
cana-5074	69	16	the	the	DET
cana-5074	69	17	text	text	NOUN
cana-5074	69	18	will	will	AUX
cana-5074	69	19	serve	serve	VERB
cana-5074	69	20	as	as	ADP
cana-5074	69	21	input	input	NOUN
cana-5074	69	22	data	datum	NOUN
cana-5074	69	23	for	for	ADP
cana-5074	69	24	the	the	DET
cana-5074	69	25	analysis	analysis	NOUN
cana-5074	69	26	(	(	PUNCT
cana-5074	69	27	kabra	kabra	PROPN
cana-5074	69	28	,	,	PUNCT
cana-5074	69	29	a	a	DET
cana-5074	69	30	shrawani	shrawani	NOUN
cana-5074	69	31	,	,	PUNCT
cana-5074	69	32	2020	2020	NUM
cana-5074	69	33	)	)	PUNCT
cana-5074	69	34	.	.	PUNCT
cana-5074	70	1	this	this	DET
cana-5074	70	2	explanation	explanation	NOUN
cana-5074	70	3	provides	provide	VERB
cana-5074	70	4	a	a	DET
cana-5074	70	5	foundational	foundational	ADJ
cana-5074	70	6	framework	framework	NOUN
cana-5074	70	7	for	for	ADP
cana-5074	70	8	understanding	understand	VERB
cana-5074	70	9	how	how	SCONJ
cana-5074	70	10	sentiment	sentiment	NOUN
cana-5074	70	11	analysis	analysis	NOUN
cana-5074	70	12	systems	system	NOUN
cana-5074	70	13	are	be	AUX
cana-5074	70	14	constructed	construct	VERB
cana-5074	70	15	and	and	CCONJ
cana-5074	70	16	the	the	DET
cana-5074	70	17	different	different	ADJ
cana-5074	70	18	methodological	methodological	ADJ
cana-5074	70	19	approaches	approach	NOUN
cana-5074	70	20	that	that	PRON
cana-5074	70	21	can	can	AUX
cana-5074	70	22	be	be	AUX
cana-5074	70	23	employed	employ	VERB
cana-5074	70	24	in	in	ADP
cana-5074	70	25	their	their	PRON
cana-5074	70	26	development	development	NOUN
cana-5074	70	27	.	.	PUNCT
cana-5074	71	1	2.1	2.1	NUM
cana-5074	71	2	.	.	PUNCT
cana-5074	72	1	key	key	ADJ
cana-5074	72	2	aspects	aspect	NOUN
cana-5074	72	3	of	of	ADP
cana-5074	72	4	sentiment	sentiment	NOUN
cana-5074	72	5	analysis	analysis	NOUN
cana-5074	72	6	2.1.1	2.1.1	NUM
cana-5074	72	7	.	.	PUNCT
cana-5074	73	1	sentiment	sentiment	NOUN
cana-5074	73	2	classification	classification	NOUN
cana-5074	73	3	it	it	PRON
cana-5074	73	4	represents	represent	VERB
cana-5074	73	5	one	one	NUM
cana-5074	73	6	of	of	ADP
cana-5074	73	7	the	the	DET
cana-5074	73	8	most	most	ADV
cana-5074	73	9	fundamental	fundamental	ADJ
cana-5074	73	10	and	and	CCONJ
cana-5074	73	11	extensively	extensively	ADV
cana-5074	73	12	studied	study	VERB
cana-5074	73	13	areas	area	NOUN
cana-5074	73	14	within	within	ADP
cana-5074	73	15	sentiment	sentiment	NOUN
cana-5074	73	16	analysis	analysis	NOUN
cana-5074	73	17	.	.	PUNCT
cana-5074	74	1	while	while	SCONJ
cana-5074	74	2	often	often	ADV
cana-5074	74	3	confused	confuse	VERB
cana-5074	74	4	with	with	ADP
cana-5074	74	5	the	the	DET
cana-5074	74	6	entire	entire	ADJ
cana-5074	74	7	field	field	NOUN
cana-5074	74	8	,	,	PUNCT
cana-5074	74	9	polarity	polarity	NOUN
cana-5074	74	10	determination	determination	NOUN
cana-5074	74	11	is	be	AUX
cana-5074	74	12	actually	actually	ADV
cana-5074	74	13	just	just	ADV
cana-5074	74	14	one	one	NUM
cana-5074	74	15	component	component	NOUN
cana-5074	74	16	that	that	PRON
cana-5074	74	17	focuses	focus	VERB
cana-5074	74	18	on	on	ADP
cana-5074	74	19	categorizing	categorize	VERB
cana-5074	74	20	text	text	NOUN
cana-5074	74	21	as	as	ADP
cana-5074	74	22	positive	positive	ADJ
cana-5074	74	23	or	or	CCONJ
cana-5074	74	24	negative	negative	ADJ
cana-5074	74	25	,	,	PUNCT
cana-5074	74	26	with	with	ADP
cana-5074	74	27	some	some	DET
cana-5074	74	28	research	research	NOUN
cana-5074	74	29	including	include	VERB
cana-5074	74	30	a	a	DET
cana-5074	74	31	neutral	neutral	ADJ
cana-5074	74	32	category(kamal	category(kamal	PROPN
cana-5074	74	33	n	n	CCONJ
cana-5074	74	34	,	,	PUNCT
cana-5074	74	35	et	et	PROPN
cana-5074	74	36	al	al	PROPN
cana-5074	74	37	,	,	PUNCT
cana-5074	74	38	2006	2006	NUM
cana-5074	74	39	)	)	PUNCT
cana-5074	74	40	.	.	PUNCT
cana-5074	75	1	two	two	NUM
cana-5074	75	2	specialized	specialized	ADJ
cana-5074	75	3	areas	area	NOUN
cana-5074	75	4	have	have	AUX
cana-5074	75	5	emerged	emerge	VERB
cana-5074	75	6	:	:	PUNCT
cana-5074	75	7	cross	cross	ADJ
cana-5074	75	8	-	-	ADJ
cana-5074	75	9	domain	domain	ADJ
cana-5074	75	10	classification	classification	NOUN
cana-5074	75	11	,	,	PUNCT
cana-5074	75	12	which	which	PRON
cana-5074	75	13	transfers	transfer	VERB
cana-5074	75	14	insights	insight	NOUN
cana-5074	75	15	from	from	ADP
cana-5074	75	16	data	data	NOUN
cana-5074	75	17	-	-	PUNCT
cana-5074	75	18	rich	rich	ADJ
cana-5074	75	19	areas	area	NOUN
cana-5074	75	20	to	to	ADP
cana-5074	75	21	those	those	PRON
cana-5074	75	22	with	with	ADP
cana-5074	75	23	limited	limited	ADJ
cana-5074	75	24	data	datum	NOUN
cana-5074	75	25	,	,	PUNCT
cana-5074	75	26	and	and	CCONJ
cana-5074	75	27	cross	cross	ADJ
cana-5074	75	28	-	-	ADJ
cana-5074	75	29	language	language	ADJ
cana-5074	75	30	classification	classification	NOUN
cana-5074	75	31	,	,	PUNCT
cana-5074	75	32	which	which	PRON
cana-5074	75	33	applies	apply	VERB
cana-5074	75	34	similar	similar	ADJ
cana-5074	75	35	principles	principle	NOUN
cana-5074	75	36	across	across	ADP
cana-5074	75	37	different	different	ADJ
cana-5074	75	38	languages	language	NOUN
cana-5074	75	39	.	.	PUNCT
cana-5074	76	1	researchers	researcher	NOUN
cana-5074	76	2	like	like	VERB
cana-5074	76	3	(	(	PUNCT
cana-5074	76	4	xia	xia	PROPN
cana-5074	76	5	et	et	PROPN
cana-5074	76	6	al	al	PROPN
cana-5074	76	7	.	.	PROPN
cana-5074	76	8	(	(	PUNCT
cana-5074	76	9	2015	2015	NUM
cana-5074	76	10	)	)	PUNCT
cana-5074	76	11	have	have	AUX
cana-5074	76	12	shown	show	VERB
cana-5074	76	13	that	that	SCONJ
cana-5074	76	14	understanding	understand	VERB
cana-5074	76	15	context	context	NOUN
cana-5074	76	16	at	at	ADP
cana-5074	76	17	the	the	DET
cana-5074	76	18	opinion	opinion	NOUN
cana-5074	76	19	level	level	NOUN
cana-5074	76	20	helps	helps	AUX
cana-5074	76	21	resolve	resolve	VERB
cana-5074	76	22	ambiguous	ambiguous	ADJ
cana-5074	76	23	sentiment	sentiment	NOUN
cana-5074	76	24	words	word	NOUN
cana-5074	76	25	,	,	PUNCT
cana-5074	76	26	while	while	SCONJ
cana-5074	76	27	vechtomova	vechtomova	X
cana-5074	76	28	(	(	PUNCT
cana-5074	76	29	2017	2017	NUM
cana-5074	76	30	)	)	PUNCT
cana-5074	76	31	demonstrated	demonstrate	VERB
cana-5074	76	32	that	that	SCONJ
cana-5074	76	33	information	information	NOUN
cana-5074	76	34	retrieval	retrieval	NOUN
cana-5074	76	35	methods	method	NOUN
cana-5074	76	36	can	can	AUX
cana-5074	76	37	be	be	AUX
cana-5074	76	38	effective	effective	ADJ
cana-5074	76	39	alternatives	alternative	NOUN
cana-5074	76	40	to	to	ADP
cana-5074	76	41	machine	machine	NOUN
cana-5074	76	42	learning	learning	NOUN
cana-5074	76	43	for	for	ADP
cana-5074	76	44	clarifying	clarify	VERB
cana-5074	76	45	word	word	NOUN
cana-5074	76	46	polarity	polarity	NOUN
cana-5074	76	47	.	.	PUNCT
cana-5074	77	1	2.1.2	2.1.2	NUM
cana-5074	77	2	.	.	NOUN
cana-5074	77	3	subjectivity	subjectivity	NOUN
cana-5074	77	4	classification	classification	NOUN
cana-5074	77	5	subjectivity	subjectivity	NOUN
cana-5074	77	6	classification	classification	NOUN
cana-5074	77	7	serves	serve	VERB
cana-5074	77	8	as	as	ADP
cana-5074	77	9	a	a	DET
cana-5074	77	10	preliminary	preliminary	ADJ
cana-5074	77	11	step	step	NOUN
cana-5074	77	12	in	in	ADP
cana-5074	77	13	sentiment	sentiment	NOUN
cana-5074	77	14	analysis	analysis	NOUN
cana-5074	77	15	,	,	PUNCT
cana-5074	77	16	focusing	focus	VERB
cana-5074	77	17	on	on	ADP
cana-5074	77	18	identifying	identify	VERB
cana-5074	77	19	whether	whether	SCONJ
cana-5074	77	20	text	text	NOUN
cana-5074	77	21	contains	contain	VERB
cana-5074	77	22	subjective	subjective	ADJ
cana-5074	77	23	elements	element	NOUN
cana-5074	77	24	.	.	PUNCT
cana-5074	78	1	as	as	SCONJ
cana-5074	78	2	explained	explain	VERB
cana-5074	78	3	by	by	ADP
cana-5074	78	4	kasmuri	kasmuri	PROPN
cana-5074	78	5	and	and	CCONJ
cana-5074	78	6	basiron	basiron	NOUN
cana-5074	78	7	(	(	PUNCT
cana-5074	78	8	2017	2017	NUM
cana-5074	78	9	)	)	PUNCT
cana-5074	78	10	,	,	PUNCT
cana-5074	78	11	this	this	DET
cana-5074	78	12	process	process	NOUN
cana-5074	78	13	involves	involve	VERB
cana-5074	78	14	detecting	detect	VERB
cana-5074	78	15	"	"	PUNCT
cana-5074	78	16	subjective	subjective	ADJ
cana-5074	78	17	clues	clue	NOUN
cana-5074	78	18	"	"	PUNCT
cana-5074	78	19	words	word	NOUN
cana-5074	78	20	that	that	PRON
cana-5074	78	21	convey	convey	VERB
cana-5074	78	22	emotions	emotion	NOUN
cana-5074	78	23	or	or	CCONJ
cana-5074	78	24	personal	personal	ADJ
cana-5074	78	25	judgments	judgment	NOUN
cana-5074	78	26	like	like	ADP
cana-5074	78	27	"	"	PUNCT
cana-5074	78	28	expensive	expensive	ADJ
cana-5074	78	29	,	,	PUNCT
cana-5074	78	30	"	"	PUNCT
cana-5074	78	31	"	"	PUNCT
cana-5074	78	32	easy	easy	ADJ
cana-5074	78	33	,	,	PUNCT
cana-5074	78	34	"	"	PUNCT
cana-5074	78	35	or	or	CCONJ
cana-5074	78	36	"	"	PUNCT
cana-5074	78	37	better	well	ADJ
cana-5074	78	38	.	.	PUNCT
cana-5074	78	39	"	"	PUNCT
cana-5074	79	1	the	the	DET
cana-5074	79	2	primary	primary	ADJ
cana-5074	79	3	purpose	purpose	NOUN
cana-5074	79	4	is	be	AUX
cana-5074	79	5	to	to	PART
cana-5074	79	6	filter	filter	VERB
cana-5074	79	7	out	out	ADP
cana-5074	79	8	objective	objective	ADJ
cana-5074	79	9	content	content	NOUN
cana-5074	79	10	before	before	ADP
cana-5074	79	11	proceeding	proceed	VERB
cana-5074	79	12	with	with	ADP
cana-5074	79	13	deeper	deep	ADJ
cana-5074	79	14	analysis	analysis	NOUN
cana-5074	79	15	,	,	PUNCT
cana-5074	79	16	making	make	VERB
cana-5074	79	17	the	the	DET
cana-5074	79	18	overall	overall	ADJ
cana-5074	79	19	process	process	NOUN
cana-5074	79	20	more	more	ADV
cana-5074	79	21	efficient	efficient	ADJ
cana-5074	79	22	and	and	CCONJ
cana-5074	79	23	focused	focus	VERB
cana-5074	79	24	on	on	ADP
cana-5074	79	25	relevant	relevant	ADJ
cana-5074	79	26	emotional	emotional	ADJ
cana-5074	79	27	content	content	NOUN
cana-5074	79	28	(	(	PUNCT
cana-5074	79	29	kansara	kansara	NOUN
cana-5074	79	30	,	,	PUNCT
cana-5074	79	31	et	et	PROPN
cana-5074	79	32	al	al	PROPN
cana-5074	79	33	,	,	PUNCT
cana-5074	79	34	2020	2020	NUM
cana-5074	79	35	)	)	PUNCT
cana-5074	79	36	.	.	PUNCT
cana-5074	80	1	2.1.3	2.1.3	X
cana-5074	80	2	.	.	PUNCT
cana-5074	80	3	opinion	opinion	NOUN
cana-5074	80	4	spam	spam	NOUN
cana-5074	80	5	detection	detection	NOUN
cana-5074	80	6	opinion	opinion	NOUN
cana-5074	80	7	spam	spam	NOUN
cana-5074	80	8	detection	detection	NOUN
cana-5074	80	9	has	have	AUX
cana-5074	80	10	become	become	VERB
cana-5074	80	11	increasingly	increasingly	ADV
cana-5074	80	12	critical	critical	ADJ
cana-5074	80	13	with	with	ADP
cana-5074	80	14	the	the	DET
cana-5074	80	15	rise	rise	NOUN
cana-5074	80	16	of	of	ADP
cana-5074	80	17	e	e	NOUN
cana-5074	80	18	-	-	NOUN
cana-5074	80	19	commerce	commerce	NOUN
cana-5074	80	20	and	and	CCONJ
cana-5074	80	21	review	review	NOUN
cana-5074	80	22	platforms	platform	NOUN
cana-5074	80	23	.	.	PUNCT
cana-5074	81	1	this	this	DET
cana-5074	81	2	area	area	NOUN
cana-5074	81	3	focuses	focus	VERB
cana-5074	81	4	on	on	ADP
cana-5074	81	5	identifying	identify	VERB
cana-5074	81	6	deliberately	deliberately	ADV
cana-5074	81	7	crafted	craft	VERB
cana-5074	81	8	false	false	ADJ
cana-5074	81	9	reviews	review	NOUN
cana-5074	81	10	that	that	PRON
cana-5074	81	11	aim	aim	VERB
cana-5074	81	12	to	to	PART
cana-5074	81	13	either	either	CCONJ
cana-5074	81	14	boost	boost	VERB
cana-5074	81	15	or	or	CCONJ
cana-5074	81	16	damage	damage	VERB
cana-5074	81	17	a	a	DET
cana-5074	81	18	product	product	NOUN
cana-5074	81	19	's	's	PART
cana-5074	81	20	reputation	reputation	NOUN
cana-5074	81	21	.	.	PUNCT
cana-5074	82	1	the	the	DET
cana-5074	82	2	analysis	analysis	NOUN
cana-5074	82	3	typically	typically	ADV
cana-5074	82	4	examines	examine	VERB
cana-5074	82	5	three	three	NUM
cana-5074	82	6	key	key	ADJ
cana-5074	82	7	aspects	aspect	NOUN
cana-5074	82	8	:	:	PUNCT
cana-5074	82	9	the	the	DET
cana-5074	82	10	actual	actual	ADJ
cana-5074	82	11	content	content	NOUN
cana-5074	82	12	of	of	ADP
cana-5074	82	13	reviews	review	NOUN
cana-5074	82	14	(	(	PUNCT
cana-5074	82	15	using	use	VERB
cana-5074	82	16	machine	machine	NOUN
cana-5074	82	17	learning	learning	NOUN
cana-5074	82	18	)	)	PUNCT
cana-5074	82	19	,	,	PUNCT
cana-5074	82	20	metadata	metadata	NOUN
cana-5074	82	21	(	(	PUNCT
cana-5074	82	22	such	such	ADJ
cana-5074	82	23	as	as	ADP
cana-5074	82	24	user	user	NOUN
cana-5074	82	25	information	information	NOUN
cana-5074	82	26	and	and	CCONJ
cana-5074	82	27	ratings	rating	NOUN
cana-5074	82	28	)	)	PUNCT
cana-5074	82	29	,	,	PUNCT
cana-5074	82	30	and	and	CCONJ
cana-5074	82	31	real	real	ADJ
cana-5074	82	32	-	-	PUNCT
cana-5074	82	33	world	world	NOUN
cana-5074	82	34	context	context	NOUN
cana-5074	82	35	(	(	PUNCT
cana-5074	82	36	like	like	ADP
cana-5074	82	37	unexpected	unexpected	ADJ
cana-5074	82	38	patterns	pattern	NOUN
cana-5074	82	39	in	in	ADP
cana-5074	82	40	product	product	NOUN
cana-5074	82	41	ratings	rating	NOUN
cana-5074	82	42	)	)	PUNCT
cana-5074	82	43	.	.	PUNCT
cana-5074	83	1	for	for	ADP
cana-5074	83	2	instance	instance	NOUN
cana-5074	83	3	,	,	PUNCT
cana-5074	83	4	a	a	DET
cana-5074	83	5	sudden	sudden	ADJ
cana-5074	83	6	surge	surge	NOUN
cana-5074	83	7	of	of	ADP
cana-5074	83	8	positive	positive	ADJ
cana-5074	83	9	reviews	review	NOUN
cana-5074	83	10	for	for	ADP
cana-5074	83	11	a	a	DET
cana-5074	83	12	historically	historically	ADV
cana-5074	83	13	low	low	ADV
cana-5074	83	14	-	-	PUNCT
cana-5074	83	15	rated	rate	VERB
cana-5074	83	16	product	product	NOUN
cana-5074	83	17	might	might	AUX
cana-5074	83	18	trigger	trigger	VERB
cana-5074	83	19	suspicion	suspicion	NOUN
cana-5074	83	20	of	of	ADP
cana-5074	83	21	spam	spam	NOUN
cana-5074	83	22	activity	activity	NOUN
cana-5074	83	23	,	,	PUNCT
cana-5074	83	24	though	though	SCONJ
cana-5074	83	25	access	access	NOUN
cana-5074	83	26	to	to	ADP
cana-5074	83	27	complete	complete	ADJ
cana-5074	83	28	metadata	metadata	NOUN
cana-5074	83	29	for	for	ADP
cana-5074	83	30	analysis	analysis	NOUN
cana-5074	83	31	is	be	AUX
cana-5074	83	32	n't	not	PART
cana-5074	83	33	always	always	ADV
cana-5074	83	34	available	available	ADJ
cana-5074	83	35	(	(	PUNCT
cana-5074	83	36	karimpour	karimpour	PROPN
cana-5074	83	37	j	j	PROPN
cana-5074	83	38	,	,	PUNCT
cana-5074	83	39	et	et	PROPN
cana-5074	83	40	al	al	PROPN
cana-5074	83	41	,	,	PUNCT
cana-5074	83	42	2012	2012	NUM
cana-5074	83	43	)	)	PUNCT
cana-5074	83	44	.	.	PUNCT
cana-5074	84	1	communications	communication	NOUN
cana-5074	84	2	on	on	ADP
cana-5074	84	3	applied	apply	VERB
cana-5074	84	4	nonlinear	nonlinear	ADJ
cana-5074	84	5	analysis	analysis	NOUN
cana-5074	84	6	issn	issn	NOUN
cana-5074	84	7	:	:	PUNCT
cana-5074	84	8	1074	1074	NUM
cana-5074	84	9	-	-	PUNCT
cana-5074	84	10	133x	133x	NUM
cana-5074	84	11	vol	vol	NOUN
cana-5074	84	12	32	32	NUM
cana-5074	84	13	no	no	NOUN
cana-5074	84	14	.	.	PUNCT
cana-5074	85	1	icmasd	icmasd	NOUN
cana-5074	85	2	(	(	PUNCT
cana-5074	85	3	2025	2025	NUM
cana-5074	85	4	)	)	PUNCT
cana-5074	85	5	463	463	NUM
cana-5074	85	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5074	85	7	these	these	DET
cana-5074	85	8	three	three	NUM
cana-5074	85	9	components	component	NOUN
cana-5074	85	10	work	work	VERB
cana-5074	85	11	together	together	ADV
cana-5074	85	12	to	to	PART
cana-5074	85	13	create	create	VERB
cana-5074	85	14	a	a	DET
cana-5074	85	15	comprehensive	comprehensive	ADJ
cana-5074	85	16	framework	framework	NOUN
cana-5074	85	17	for	for	ADP
cana-5074	85	18	understanding	understanding	NOUN
cana-5074	85	19	and	and	CCONJ
cana-5074	85	20	analyzing	analyze	VERB
cana-5074	85	21	sentiment	sentiment	NOUN
cana-5074	85	22	in	in	ADP
cana-5074	85	23	text	text	NOUN
cana-5074	85	24	,	,	PUNCT
cana-5074	85	25	each	each	PRON
cana-5074	85	26	addressing	address	VERB
cana-5074	85	27	different	different	ADJ
cana-5074	85	28	challenges	challenge	NOUN
cana-5074	85	29	in	in	ADP
cana-5074	85	30	the	the	DET
cana-5074	85	31	field	field	NOUN
cana-5074	85	32	of	of	ADP
cana-5074	85	33	sentiment	sentiment	NOUN
cana-5074	85	34	analysis	analysis	NOUN
cana-5074	85	35	.	.	PUNCT
cana-5074	86	1	2.1.4	2.1.4	X
cana-5074	86	2	.	.	PUNCT
cana-5074	86	3	implicit	implicit	ADJ
cana-5074	86	4	language	language	NOUN
cana-5074	86	5	detection	detection	NOUN
cana-5074	86	6	it	it	PRON
cana-5074	86	7	deals	deal	VERB
cana-5074	86	8	with	with	ADP
cana-5074	86	9	the	the	DET
cana-5074	86	10	complex	complex	ADJ
cana-5074	86	11	challenge	challenge	NOUN
cana-5074	86	12	of	of	ADP
cana-5074	86	13	identifying	identify	VERB
cana-5074	86	14	subtle	subtle	ADJ
cana-5074	86	15	forms	form	NOUN
cana-5074	86	16	of	of	ADP
cana-5074	86	17	expression	expression	NOUN
cana-5074	86	18	like	like	ADP
cana-5074	86	19	humor	humor	NOUN
cana-5074	86	20	,	,	PUNCT
cana-5074	86	21	sarcasm	sarcasm	NOUN
cana-5074	86	22	,	,	PUNCT
cana-5074	86	23	and	and	CCONJ
cana-5074	86	24	irony	irony	NOUN
cana-5074	86	25	in	in	ADP
cana-5074	86	26	text	text	NOUN
cana-5074	86	27	.	.	PUNCT
cana-5074	87	1	these	these	DET
cana-5074	87	2	forms	form	NOUN
cana-5074	87	3	of	of	ADP
cana-5074	87	4	communication	communication	NOUN
cana-5074	87	5	are	be	AUX
cana-5074	87	6	particularly	particularly	ADV
cana-5074	87	7	challenging	challenging	ADJ
cana-5074	87	8	because	because	SCONJ
cana-5074	87	9	they	they	PRON
cana-5074	87	10	can	can	AUX
cana-5074	87	11	completely	completely	ADV
cana-5074	87	12	reverse	reverse	VERB
cana-5074	87	13	the	the	DET
cana-5074	87	14	apparent	apparent	ADJ
cana-5074	87	15	meaning	meaning	NOUN
cana-5074	87	16	of	of	ADP
cana-5074	87	17	a	a	DET
cana-5074	87	18	statement	statement	NOUN
cana-5074	87	19	.	.	PUNCT
cana-5074	88	1	for	for	ADP
cana-5074	88	2	example	example	NOUN
cana-5074	88	3	,	,	PUNCT
cana-5074	88	4	in	in	ADP
cana-5074	88	5	the	the	DET
cana-5074	88	6	phrase	phrase	NOUN
cana-5074	88	7	"	"	PUNCT
cana-5074	88	8	i	i	PRON
cana-5074	88	9	love	love	VERB
cana-5074	88	10	pain	pain	NOUN
cana-5074	88	11	,	,	PUNCT
cana-5074	88	12	"	"	PUNCT
cana-5074	88	13	the	the	DET
cana-5074	88	14	conflict	conflict	NOUN
cana-5074	88	15	between	between	ADP
cana-5074	88	16	the	the	DET
cana-5074	88	17	positive	positive	ADJ
cana-5074	88	18	word	word	NOUN
cana-5074	88	19	"	"	PUNCT
cana-5074	88	20	love	love	NOUN
cana-5074	88	21	"	"	PUNCT
cana-5074	88	22	and	and	CCONJ
cana-5074	88	23	the	the	DET
cana-5074	88	24	negative	negative	ADJ
cana-5074	88	25	concept	concept	NOUN
cana-5074	88	26	of	of	ADP
cana-5074	88	27	"	"	PUNCT
cana-5074	88	28	pain	pain	NOUN
cana-5074	88	29	"	"	PUNCT
cana-5074	88	30	likely	likely	ADV
cana-5074	88	31	indicates	indicate	VERB
cana-5074	88	32	sarcasm	sarcasm	NOUN
cana-5074	88	33	.	.	PUNCT
cana-5074	89	1	traditional	traditional	ADJ
cana-5074	89	2	detection	detection	NOUN
cana-5074	89	3	methods	method	NOUN
cana-5074	89	4	look	look	VERB
cana-5074	89	5	for	for	ADP
cana-5074	89	6	specific	specific	ADJ
cana-5074	89	7	indicators	indicator	NOUN
cana-5074	89	8	such	such	ADJ
cana-5074	89	9	as	as	ADP
cana-5074	89	10	emoticons	emoticon	NOUN
cana-5074	89	11	,	,	PUNCT
cana-5074	89	12	laughter	laughter	NOUN
cana-5074	89	13	expressions	expression	NOUN
cana-5074	89	14	,	,	PUNCT
cana-5074	89	15	or	or	CCONJ
cana-5074	89	16	excessive	excessive	ADJ
cana-5074	89	17	punctuation	punctuation	NOUN
cana-5074	89	18	,	,	PUNCT
cana-5074	89	19	as	as	SCONJ
cana-5074	89	20	noted	note	VERB
cana-5074	89	21	by	by	ADP
cana-5074	89	22	(	(	PUNCT
cana-5074	89	23	filatova	filatova	PROPN
cana-5074	89	24	,	,	PUNCT
cana-5074	89	25	2012	2012	NUM
cana-5074	89	26	)	)	PUNCT
cana-5074	89	27	.	.	PUNCT
cana-5074	90	1	this	this	DET
cana-5074	90	2	detection	detection	NOUN
cana-5074	90	3	is	be	AUX
cana-5074	90	4	crucial	crucial	ADJ
cana-5074	90	5	because	because	SCONJ
cana-5074	90	6	missing	miss	VERB
cana-5074	90	7	implicit	implicit	ADJ
cana-5074	90	8	meaning	meaning	NOUN
cana-5074	90	9	can	can	AUX
cana-5074	90	10	lead	lead	VERB
cana-5074	90	11	to	to	ADP
cana-5074	90	12	completely	completely	ADV
cana-5074	90	13	misinterpreting	misinterpret	VERB
cana-5074	90	14	the	the	DET
cana-5074	90	15	true	true	ADJ
cana-5074	90	16	sentiment	sentiment	NOUN
cana-5074	90	17	of	of	ADP
cana-5074	90	18	a	a	DET
cana-5074	90	19	statement	statement	NOUN
cana-5074	90	20	.	.	PUNCT
cana-5074	91	1	2.1.5	2.1.5	NUM
cana-5074	91	2	.	.	PUNCT
cana-5074	91	3	aspect	aspect	NOUN
cana-5074	91	4	extraction	extraction	NOUN
cana-5074	91	5	it	it	PRON
cana-5074	91	6	focuses	focus	VERB
cana-5074	91	7	on	on	ADP
cana-5074	91	8	identifying	identify	VERB
cana-5074	91	9	specific	specific	ADJ
cana-5074	91	10	features	feature	NOUN
cana-5074	91	11	or	or	CCONJ
cana-5074	91	12	components	component	NOUN
cana-5074	91	13	being	be	AUX
cana-5074	91	14	discussed	discuss	VERB
cana-5074	91	15	within	within	ADP
cana-5074	91	16	the	the	DET
cana-5074	91	17	text	text	NOUN
cana-5074	91	18	,	,	PUNCT
cana-5074	91	19	particularly	particularly	ADV
cana-5074	91	20	important	important	ADJ
cana-5074	91	21	for	for	ADP
cana-5074	91	22	detailed	detailed	ADJ
cana-5074	91	23	sentiment	sentiment	NOUN
cana-5074	91	24	analysis	analysis	NOUN
cana-5074	91	25	.	.	PUNCT
cana-5074	92	1	according	accord	VERB
cana-5074	92	2	to	to	ADP
cana-5074	92	3	liu	liu	PROPN
cana-5074	92	4	,	,	PUNCT
cana-5074	92	5	n	n	CCONJ
cana-5074	92	6	,	,	PUNCT
cana-5074	92	7	shen	shen	NOUN
cana-5074	92	8	,	,	PUNCT
cana-5074	92	9	2020	2020	NUM
cana-5074	92	10	)	)	PUNCT
cana-5074	92	11	,	,	PUNCT
cana-5074	92	12	this	this	PRON
cana-5074	92	13	could	could	AUX
cana-5074	92	14	involve	involve	VERB
cana-5074	92	15	extracting	extract	VERB
cana-5074	92	16	information	information	NOUN
cana-5074	92	17	about	about	ADP
cana-5074	92	18	products	product	NOUN
cana-5074	92	19	,	,	PUNCT
cana-5074	92	20	people	people	NOUN
cana-5074	92	21	,	,	PUNCT
cana-5074	92	22	events	event	NOUN
cana-5074	92	23	,	,	PUNCT
cana-5074	92	24	or	or	CCONJ
cana-5074	92	25	organizations	organization	NOUN
cana-5074	92	26	.	.	PUNCT
cana-5074	93	1	the	the	DET
cana-5074	93	2	process	process	NOUN
cana-5074	93	3	employs	employ	VERB
cana-5074	93	4	several	several	ADJ
cana-5074	93	5	methods	method	NOUN
cana-5074	93	6	:	:	PUNCT
cana-5074	93	7	a.	a.	NOUN
cana-5074	93	8	frequency	frequency	NOUN
cana-5074	93	9	-	-	PUNCT
cana-5074	93	10	based	base	VERB
cana-5074	93	11	analysis	analysis	NOUN
cana-5074	93	12	this	this	DET
cana-5074	93	13	traditional	traditional	ADJ
cana-5074	93	14	approach	approach	NOUN
cana-5074	93	15	identifies	identify	VERB
cana-5074	93	16	aspects	aspect	NOUN
cana-5074	93	17	by	by	ADP
cana-5074	93	18	looking	look	VERB
cana-5074	93	19	for	for	ADP
cana-5074	93	20	frequently	frequently	ADV
cana-5074	93	21	occurring	occur	VERB
cana-5074	93	22	nouns	noun	NOUN
cana-5074	93	23	or	or	CCONJ
cana-5074	93	24	compound	compound	NOUN
cana-5074	93	25	nouns	noun	NOUN
cana-5074	93	26	(	(	PUNCT
cana-5074	93	27	lou	lou	PROPN
cana-5074	93	28	y	y	PROPN
cana-5074	93	29	,	,	PUNCT
cana-5074	93	30	2020	2020	NUM
cana-5074	93	31	)	)	PUNCT
cana-5074	93	32	.	.	PUNCT
cana-5074	94	1	the	the	DET
cana-5074	94	2	general	general	ADJ
cana-5074	94	3	rule	rule	NOUN
cana-5074	94	4	suggests	suggest	VERB
cana-5074	94	5	that	that	SCONJ
cana-5074	94	6	if	if	SCONJ
cana-5074	94	7	a	a	DET
cana-5074	94	8	noun	noun	NOUN
cana-5074	94	9	appears	appear	VERB
cana-5074	94	10	in	in	ADP
cana-5074	94	11	at	at	ADV
cana-5074	94	12	least	least	ADV
cana-5074	94	13	1	1	NUM
cana-5074	94	14	%	%	NOUN
cana-5074	94	15	of	of	ADP
cana-5074	94	16	sentences	sentence	NOUN
cana-5074	94	17	,	,	PUNCT
cana-5074	94	18	it	it	PRON
cana-5074	94	19	likely	likely	ADV
cana-5074	94	20	represents	represent	VERB
cana-5074	94	21	an	an	DET
cana-5074	94	22	important	important	ADJ
cana-5074	94	23	aspect	aspect	NOUN
cana-5074	94	24	.	.	PUNCT
cana-5074	95	1	while	while	SCONJ
cana-5074	95	2	schouten	schouten	ADJ
cana-5074	95	3	and	and	CCONJ
cana-5074	95	4	frasincar	frasincar	NOUN
cana-5074	95	5	(	(	PUNCT
cana-5074	95	6	2016	2016	NUM
cana-5074	95	7	)	)	PUNCT
cana-5074	95	8	note	note	VERB
cana-5074	95	9	this	this	DET
cana-5074	95	10	method	method	NOUN
cana-5074	95	11	's	's	PART
cana-5074	95	12	effectiveness	effectiveness	NOUN
cana-5074	95	13	,	,	PUNCT
cana-5074	95	14	they	they	PRON
cana-5074	95	15	also	also	ADV
cana-5074	95	16	point	point	VERB
cana-5074	95	17	out	out	ADP
cana-5074	95	18	its	its	PRON
cana-5074	95	19	limitations	limitation	NOUN
cana-5074	95	20	,	,	PUNCT
cana-5074	95	21	as	as	SCONJ
cana-5074	95	22	not	not	PART
cana-5074	95	23	all	all	PRON
cana-5074	95	24	frequently	frequently	ADV
cana-5074	95	25	used	use	VERB
cana-5074	95	26	nouns	noun	NOUN
cana-5074	95	27	necessarily	necessarily	ADV
cana-5074	95	28	indicate	indicate	VERB
cana-5074	95	29	relevant	relevant	ADJ
cana-5074	95	30	aspects	aspect	NOUN
cana-5074	95	31	.	.	PUNCT
cana-5074	96	1	b.	b.	PROPN
cana-5074	96	2	syntax	syntax	NOUN
cana-5074	96	3	-	-	PUNCT
cana-5074	96	4	based	base	VERB
cana-5074	96	5	methods	method	NOUN
cana-5074	96	6	this	this	DET
cana-5074	96	7	more	more	ADV
cana-5074	96	8	sophisticated	sophisticated	ADJ
cana-5074	96	9	approach	approach	NOUN
cana-5074	96	10	identifies	identify	VERB
cana-5074	96	11	aspects	aspect	NOUN
cana-5074	96	12	through	through	ADP
cana-5074	96	13	their	their	PRON
cana-5074	96	14	syntactic	syntactic	ADJ
cana-5074	96	15	relationships	relationship	NOUN
cana-5074	96	16	in	in	ADP
cana-5074	96	17	text	text	NOUN
cana-5074	96	18	,	,	PUNCT
cana-5074	96	19	such	such	ADJ
cana-5074	96	20	as	as	ADP
cana-5074	96	21	when	when	SCONJ
cana-5074	96	22	they	they	PRON
cana-5074	96	23	're	be	AUX
cana-5074	96	24	modified	modify	VERB
cana-5074	96	25	by	by	ADP
cana-5074	96	26	sentiment	sentiment	NOUN
cana-5074	96	27	-	-	PUNCT
cana-5074	96	28	carrying	carry	VERB
cana-5074	96	29	adjectives	adjective	NOUN
cana-5074	96	30	.	.	PUNCT
cana-5074	97	1	while	while	SCONJ
cana-5074	97	2	this	this	DET
cana-5074	97	3	method	method	NOUN
cana-5074	97	4	can	can	AUX
cana-5074	97	5	identify	identify	VERB
cana-5074	97	6	less	less	ADV
cana-5074	97	7	frequently	frequently	ADV
cana-5074	97	8	mentioned	mention	VERB
cana-5074	97	9	aspects	aspect	NOUN
cana-5074	97	10	,	,	PUNCT
cana-5074	97	11	it	it	PRON
cana-5074	97	12	requires	require	VERB
cana-5074	97	13	extensive	extensive	ADJ
cana-5074	97	14	knowledge	knowledge	NOUN
cana-5074	97	15	of	of	ADP
cana-5074	97	16	sentiment	sentiment	NOUN
cana-5074	97	17	words	word	NOUN
cana-5074	97	18	.	.	PUNCT
cana-5074	98	1	(	(	PUNCT
cana-5074	98	2	qiu	qiu	PROPN
cana-5074	98	3	et	et	PROPN
cana-5074	98	4	al	al	PROPN
cana-5074	98	5	.	.	PROPN
cana-5074	98	6	,	,	PUNCT
cana-5074	98	7	2009	2009	NUM
cana-5074	98	8	)	)	PUNCT
cana-5074	98	9	developed	develop	VERB
cana-5074	98	10	an	an	DET
cana-5074	98	11	innovative	innovative	ADJ
cana-5074	98	12	algorithm	algorithm	NOUN
cana-5074	98	13	that	that	PRON
cana-5074	98	14	works	work	VERB
cana-5074	98	15	bi	bi	NOUN
cana-5074	98	16	-	-	ADV
cana-5074	98	17	directionally	directionally	ADV
cana-5074	98	18	using	use	VERB
cana-5074	98	19	known	know	VERB
cana-5074	98	20	aspects	aspect	NOUN
cana-5074	98	21	to	to	PART
cana-5074	98	22	identify	identify	VERB
cana-5074	98	23	sentiment	sentiment	NOUN
cana-5074	98	24	words	word	NOUN
cana-5074	98	25	and	and	CCONJ
cana-5074	98	26	vice	vice	NOUN
cana-5074	98	27	versa	versa	ADV
cana-5074	98	28	,	,	PUNCT
cana-5074	98	29	creating	create	VERB
cana-5074	98	30	a	a	DET
cana-5074	98	31	more	more	ADV
cana-5074	98	32	comprehensive	comprehensive	ADJ
cana-5074	98	33	analysis	analysis	NOUN
cana-5074	98	34	system	system	NOUN
cana-5074	98	35	.	.	PUNCT
cana-5074	99	1	communications	communication	NOUN
cana-5074	99	2	on	on	ADP
cana-5074	99	3	applied	apply	VERB
cana-5074	99	4	nonlinear	nonlinear	ADJ
cana-5074	99	5	analysis	analysis	NOUN
cana-5074	99	6	issn	issn	NOUN
cana-5074	99	7	:	:	PUNCT
cana-5074	99	8	1074	1074	NUM
cana-5074	99	9	-	-	PUNCT
cana-5074	99	10	133x	133x	NUM
cana-5074	99	11	vol	vol	NOUN
cana-5074	99	12	32	32	NUM
cana-5074	99	13	no	no	NOUN
cana-5074	99	14	.	.	PUNCT
cana-5074	100	1	icmasd	icmasd	NOUN
cana-5074	100	2	(	(	PUNCT
cana-5074	100	3	2025	2025	NUM
cana-5074	100	4	)	)	PUNCT
cana-5074	100	5	464	464	NUM
cana-5074	100	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5074	100	7	fig	fig	NOUN
cana-5074	100	8	.	.	PUNCT
cana-5074	101	1	1	1	NUM
cana-5074	101	2	:	:	PUNCT
cana-5074	101	3	sentiment	sentiment	NOUN
cana-5074	101	4	analysis	analysis	NOUN
cana-5074	101	5	concept	concept	NOUN
cana-5074	101	6	overview	overview	NOUN
cana-5074	101	7	(	(	PUNCT
cana-5074	101	8	ligthart	ligthart	NOUN
cana-5074	101	9	,	,	PUNCT
cana-5074	101	10	a.	a.	NOUN
cana-5074	101	11	,	,	PUNCT
cana-5074	101	12	et	et	PROPN
cana-5074	101	13	al	al	PROPN
cana-5074	101	14	,	,	PUNCT
cana-5074	101	15	2021	2021	NUM
cana-5074	101	16	)	)	PUNCT
cana-5074	101	17	3	3	NUM
cana-5074	101	18	.	.	X
cana-5074	102	1	approaches	approach	NOUN
cana-5074	102	2	of	of	ADP
cana-5074	102	3	machine	machine	NOUN
cana-5074	102	4	learning	learn	VERB
cana-5074	102	5	3.1	3.1	NUM
cana-5074	102	6	.	.	PUNCT
cana-5074	102	7	machine	machine	NOUN
cana-5074	102	8	learning	learn	VERB
cana-5074	102	9	methods	method	NOUN
cana-5074	102	10	machine	machine	NOUN
cana-5074	102	11	learning	learning	NOUN
cana-5074	102	12	methods	method	NOUN
cana-5074	102	13	in	in	ADP
cana-5074	102	14	sentiment	sentiment	NOUN
cana-5074	102	15	analysis	analysis	NOUN
cana-5074	102	16	can	can	AUX
cana-5074	102	17	be	be	AUX
cana-5074	102	18	categorized	categorize	VERB
cana-5074	102	19	into	into	ADP
cana-5074	102	20	three	three	NUM
cana-5074	102	21	main	main	ADJ
cana-5074	102	22	approaches	approach	NOUN
cana-5074	102	23	:	:	PUNCT
cana-5074	102	24	unsupervised	unsupervised	ADJ
cana-5074	102	25	,	,	PUNCT
cana-5074	102	26	semi	semi	ADJ
cana-5074	102	27	-	-	ADJ
cana-5074	102	28	supervised	supervised	ADJ
cana-5074	102	29	,	,	PUNCT
cana-5074	102	30	and	and	CCONJ
cana-5074	102	31	supervised	supervise	VERB
cana-5074	102	32	learning	learning	NOUN
cana-5074	102	33	techniques	technique	NOUN
cana-5074	102	34	.	.	PUNCT
cana-5074	103	1	unsupervised	unsupervised	ADJ
cana-5074	103	2	learning	learning	NOUN
cana-5074	103	3	techniques	technique	NOUN
cana-5074	103	4	work	work	VERB
cana-5074	103	5	by	by	ADP
cana-5074	103	6	automatically	automatically	ADV
cana-5074	103	7	organizing	organize	VERB
cana-5074	103	8	unlabeled	unlabeled	ADJ
cana-5074	103	9	data	datum	NOUN
cana-5074	103	10	into	into	ADP
cana-5074	103	11	similar	similar	ADJ
cana-5074	103	12	groupings	grouping	NOUN
cana-5074	103	13	or	or	CCONJ
cana-5074	103	14	clusters	cluster	NOUN
cana-5074	103	15	.	.	PUNCT
cana-5074	104	1	features	feature	NOUN
cana-5074	104	2	such	such	ADJ
cana-5074	104	3	as	as	ADP
cana-5074	104	4	shared	share	VERB
cana-5074	104	5	words	word	NOUN
cana-5074	104	6	or	or	CCONJ
cana-5074	104	7	word	word	NOUN
cana-5074	104	8	combinations	combination	NOUN
cana-5074	104	9	within	within	ADP
cana-5074	104	10	documents	document	NOUN
cana-5074	104	11	can	can	AUX
cana-5074	104	12	determine	determine	VERB
cana-5074	104	13	the	the	DET
cana-5074	104	14	similarity	similarity	NOUN
cana-5074	104	15	between	between	ADP
cana-5074	104	16	data	datum	NOUN
cana-5074	104	17	points	point	NOUN
cana-5074	104	18	,	,	PUNCT
cana-5074	104	19	as	as	SCONJ
cana-5074	104	20	noted	note	VERB
cana-5074	104	21	by	by	ADP
cana-5074	104	22	(	(	PUNCT
cana-5074	104	23	li	li	PROPN
cana-5074	104	24	and	and	CCONJ
cana-5074	104	25	liu	liu	PROPN
cana-5074	104	26	,	,	PUNCT
cana-5074	104	27	2014	2014	NUM
cana-5074	104	28	)	)	PUNCT
cana-5074	104	29	.	.	PUNCT
cana-5074	105	1	semi	semi	ADJ
cana-5074	105	2	-	-	ADJ
cana-5074	105	3	supervised	supervised	ADJ
cana-5074	105	4	learning	learning	NOUN
cana-5074	105	5	combines	combine	VERB
cana-5074	105	6	both	both	DET
cana-5074	105	7	labeled	label	VERB
cana-5074	105	8	and	and	CCONJ
cana-5074	105	9	unlabeled	unlabeled	ADJ
cana-5074	105	10	data	datum	NOUN
cana-5074	105	11	during	during	ADP
cana-5074	105	12	model	model	NOUN
cana-5074	105	13	training	training	NOUN
cana-5074	105	14	.	.	PUNCT
cana-5074	106	1	this	this	DET
cana-5074	106	2	approach	approach	NOUN
cana-5074	106	3	involves	involve	VERB
cana-5074	106	4	using	use	VERB
cana-5074	106	5	a	a	DET
cana-5074	106	6	limited	limited	ADJ
cana-5074	106	7	set	set	NOUN
cana-5074	106	8	of	of	ADP
cana-5074	106	9	labeled	label	VERB
cana-5074	106	10	examples	example	NOUN
cana-5074	106	11	alongside	alongside	ADP
cana-5074	106	12	a	a	DET
cana-5074	106	13	larger	large	ADJ
cana-5074	106	14	collection	collection	NOUN
cana-5074	106	15	of	of	ADP
cana-5074	106	16	unlabeled	unlabeled	ADJ
cana-5074	106	17	data	datum	NOUN
cana-5074	106	18	to	to	PART
cana-5074	106	19	develop	develop	VERB
cana-5074	106	20	a	a	DET
cana-5074	106	21	classifier	classifier	NOUN
cana-5074	106	22	.	.	PUNCT
cana-5074	107	1	(	(	PUNCT
cana-5074	107	2	as	as	SCONJ
cana-5074	107	3	da	da	PROPN
cana-5074	107	4	silva	silva	PROPN
cana-5074	107	5	et	et	PROPN
cana-5074	107	6	al	al	PROPN
cana-5074	107	7	.	.	PROPN
cana-5074	107	8	,	,	PUNCT
cana-5074	107	9	2016	2016	NUM
cana-5074	107	10	)	)	PUNCT
cana-5074	107	11	demonstrated	demonstrate	VERB
cana-5074	107	12	,	,	PUNCT
cana-5074	107	13	this	this	DET
cana-5074	107	14	method	method	NOUN
cana-5074	107	15	offers	offer	VERB
cana-5074	107	16	a	a	DET
cana-5074	107	17	good	good	ADJ
cana-5074	107	18	balance	balance	NOUN
cana-5074	107	19	between	between	ADP
cana-5074	107	20	accuracy	accuracy	NOUN
cana-5074	107	21	and	and	CCONJ
cana-5074	107	22	required	require	VERB
cana-5074	107	23	human	human	ADJ
cana-5074	107	24	annotation	annotation	NOUN
cana-5074	107	25	effort	effort	NOUN
cana-5074	107	26	compared	compare	VERB
cana-5074	107	27	to	to	ADP
cana-5074	107	28	fully	fully	ADV
cana-5074	107	29	supervised	supervised	ADJ
cana-5074	107	30	approaches	approach	NOUN
cana-5074	107	31	.	.	PUNCT
cana-5074	108	1	semisupervised	semisupervise	VERB
cana-5074	108	2	learning	learning	NOUN
cana-5074	108	3	has	have	AUX
cana-5074	108	4	proven	prove	VERB
cana-5074	108	5	particularly	particularly	ADV
cana-5074	108	6	effective	effective	ADJ
cana-5074	108	7	in	in	ADP
cana-5074	108	8	cross	cross	ADJ
cana-5074	108	9	-	-	ADJ
cana-5074	108	10	domain	domain	ADJ
cana-5074	108	11	and	and	CCONJ
cana-5074	108	12	cross	cross	ADJ
cana-5074	108	13	-	-	ADJ
cana-5074	108	14	language	language	NOUN
cana-5074	108	15	communications	communication	NOUN
cana-5074	108	16	on	on	ADP
cana-5074	108	17	applied	apply	VERB
cana-5074	108	18	nonlinear	nonlinear	ADJ
cana-5074	108	19	analysis	analysis	NOUN
cana-5074	108	20	issn	issn	NOUN
cana-5074	108	21	:	:	PUNCT
cana-5074	108	22	1074	1074	NUM
cana-5074	108	23	-	-	PUNCT
cana-5074	108	24	133x	133x	NUM
cana-5074	108	25	vol	vol	NOUN
cana-5074	108	26	32	32	NUM
cana-5074	108	27	no	no	NOUN
cana-5074	108	28	.	.	PUNCT
cana-5074	109	1	icmasd	icmasd	NOUN
cana-5074	109	2	(	(	PUNCT
cana-5074	109	3	2025	2025	NUM
cana-5074	109	4	)	)	PUNCT
cana-5074	110	1	465	465	NUM
cana-5074	110	2	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-5074	110	3	classification	classification	NOUN
cana-5074	110	4	tasks	task	NOUN
cana-5074	110	5	,	,	PUNCT
cana-5074	110	6	where	where	SCONJ
cana-5074	110	7	it	it	PRON
cana-5074	110	8	helps	help	VERB
cana-5074	110	9	extract	extract	VERB
cana-5074	110	10	domain	domain	NOUN
cana-5074	110	11	-	-	PUNCT
cana-5074	110	12	independent	independent	ADJ
cana-5074	110	13	or	or	CCONJ
cana-5074	110	14	language	language	NOUN
cana-5074	110	15	-	-	PUNCT
cana-5074	110	16	independent	independent	ADJ
cana-5074	110	17	features	feature	NOUN
cana-5074	110	18	using	use	VERB
cana-5074	110	19	unlabeled	unlabeled	ADJ
cana-5074	110	20	data	datum	NOUN
cana-5074	110	21	while	while	SCONJ
cana-5074	110	22	using	use	VERB
cana-5074	110	23	labeled	label	VERB
cana-5074	110	24	target	target	NOUN
cana-5074	110	25	data	datum	NOUN
cana-5074	110	26	for	for	ADP
cana-5074	110	27	classifier	classifier	NOUN
cana-5074	110	28	refinement	refinement	NOUN
cana-5074	110	29	(	(	PUNCT
cana-5074	110	30	peng	peng	PROPN
cana-5074	110	31	et	et	PROPN
cana-5074	110	32	al	al	PROPN
cana-5074	110	33	.	.	PROPN
cana-5074	110	34	2018	2018	NUM
cana-5074	110	35	)	)	PUNCT
cana-5074	110	36	.	.	PUNCT
cana-5074	111	1	twitter	twitter	NOUN
cana-5074	111	2	sentiment	sentiment	NOUN
cana-5074	111	3	analysis	analysis	NOUN
cana-5074	111	4	frequently	frequently	ADV
cana-5074	111	5	employs	employ	VERB
cana-5074	111	6	semi	semi	ADJ
cana-5074	111	7	-	-	ADJ
cana-5074	111	8	supervised	supervised	ADJ
cana-5074	111	9	learning	learning	NOUN
cana-5074	111	10	due	due	ADP
cana-5074	111	11	to	to	ADP
cana-5074	111	12	the	the	DET
cana-5074	111	13	abundance	abundance	NOUN
cana-5074	111	14	of	of	ADP
cana-5074	111	15	unlabeled	unlabeled	ADJ
cana-5074	111	16	tweets	tweet	NOUN
cana-5074	111	17	.	.	PUNCT
cana-5074	112	1	recent	recent	ADJ
cana-5074	112	2	research	research	NOUN
cana-5074	112	3	has	have	AUX
cana-5074	112	4	advanced	advance	VERB
cana-5074	112	5	this	this	DET
cana-5074	112	6	field	field	NOUN
cana-5074	112	7	significantly	significantly	ADV
cana-5074	112	8	:	:	PUNCT
cana-5074	113	1	hussain	hussain	PROPN
cana-5074	113	2	and	and	CCONJ
cana-5074	113	3	cambria	cambria	PROPN
cana-5074	113	4	(	(	PUNCT
cana-5074	113	5	2018	2018	NUM
cana-5074	113	6	)	)	PUNCT
cana-5074	113	7	analyzed	analyze	VERB
cana-5074	113	8	various	various	ADJ
cana-5074	113	9	semi	semi	ADJ
cana-5074	113	10	-	-	ADJ
cana-5074	113	11	supervised	supervised	ADJ
cana-5074	113	12	methods	method	NOUN
cana-5074	113	13	'	'	PART
cana-5074	113	14	computational	computational	ADJ
cana-5074	113	15	efficiency	efficiency	NOUN
cana-5074	113	16	and	and	CCONJ
cana-5074	113	17	introduced	introduce	VERB
cana-5074	113	18	new	new	ADJ
cana-5074	113	19	models	model	NOUN
cana-5074	113	20	based	base	VERB
cana-5074	113	21	on	on	ADP
cana-5074	113	22	biased	biased	ADJ
cana-5074	113	23	svm	svm	NOUN
cana-5074	113	24	and	and	CCONJ
cana-5074	113	25	rls	rls	PROPN
cana-5074	113	26	.	.	PUNCT
cana-5074	113	27	wu	wu	PROPN
cana-5074	113	28	et	et	PROPN
cana-5074	113	29	al	al	PROPN
cana-5074	113	30	.	.	PROPN
cana-5074	114	1	(	(	PUNCT
cana-5074	114	2	2019	2019	NUM
cana-5074	114	3	)	)	PUNCT
cana-5074	114	4	introduced	introduce	VERB
cana-5074	114	5	a	a	DET
cana-5074	114	6	dimensional	dimensional	ADJ
cana-5074	114	7	sentiment	sentiment	NOUN
cana-5074	114	8	analysis	analysis	NOUN
cana-5074	114	9	model	model	NOUN
cana-5074	114	10	using	use	VERB
cana-5074	114	11	variational	variational	ADJ
cana-5074	114	12	autoencoders	autoencoder	NOUN
cana-5074	114	13	,	,	PUNCT
cana-5074	114	14	while	while	SCONJ
cana-5074	114	15	xu	xu	PROPN
cana-5074	114	16	and	and	CCONJ
cana-5074	114	17	tan	tan	PROPN
cana-5074	114	18	(	(	PUNCT
cana-5074	114	19	2019	2019	NUM
cana-5074	114	20	)	)	PUNCT
cana-5074	114	21	developed	develop	VERB
cana-5074	114	22	tssgm	tssgm	PROPN
cana-5074	114	23	for	for	ADP
cana-5074	114	24	target	target	NOUN
cana-5074	114	25	-	-	PUNCT
cana-5074	114	26	oriented	orient	VERB
cana-5074	114	27	sentiment	sentiment	NOUN
cana-5074	114	28	analysis	analysis	NOUN
cana-5074	114	29	.	.	PUNCT
cana-5074	115	1	han	han	PROPN
cana-5074	115	2	et	et	PROPN
cana-5074	115	3	al	al	PROPN
cana-5074	115	4	.	.	PROPN
cana-5074	116	1	(	(	PUNCT
cana-5074	116	2	2019	2019	NUM
cana-5074	116	3	)	)	PUNCT
cana-5074	116	4	created	create	VERB
cana-5074	116	5	a	a	DET
cana-5074	116	6	multi	multi	ADJ
cana-5074	116	7	-	-	ADJ
cana-5074	116	8	classifier	classifier	ADJ
cana-5074	116	9	model	model	NOUN
cana-5074	116	10	with	with	ADP
cana-5074	116	11	dynamic	dynamic	ADJ
cana-5074	116	12	thresholding	thresholding	NOUN
cana-5074	116	13	that	that	PRON
cana-5074	116	14	showed	show	VERB
cana-5074	116	15	superior	superior	ADJ
cana-5074	116	16	performance	performance	NOUN
cana-5074	116	17	on	on	ADP
cana-5074	116	18	movie	movie	NOUN
cana-5074	116	19	reviews	review	NOUN
cana-5074	116	20	.	.	PUNCT
cana-5074	117	1	additionally	additionally	ADV
cana-5074	117	2	,	,	PUNCT
cana-5074	117	3	duan	duan	PROPN
cana-5074	117	4	et	et	PROPN
cana-5074	117	5	al	al	PROPN
cana-5074	117	6	.	.	PROPN
cana-5074	117	7	(	(	PUNCT
cana-5074	117	8	2020	2020	NUM
cana-5074	117	9	)	)	PUNCT
cana-5074	117	10	demonstrated	demonstrate	VERB
cana-5074	117	11	success	success	NOUN
cana-5074	117	12	with	with	ADP
cana-5074	117	13	their	their	PRON
cana-5074	117	14	gem	gem	NOUN
cana-5074	117	15	-	-	PUNCT
cana-5074	117	16	cw	cw	NOUN
cana-5074	117	17	model	model	NOUN
cana-5074	117	18	for	for	ADP
cana-5074	117	19	stock	stock	NOUN
cana-5074	117	20	message	message	NOUN
cana-5074	117	21	sentiment	sentiment	NOUN
cana-5074	117	22	classification	classification	NOUN
cana-5074	117	23	,	,	PUNCT
cana-5074	117	24	while	while	SCONJ
cana-5074	117	25	gupta	gupta	PROPN
cana-5074	117	26	et	et	PROPN
cana-5074	117	27	al	al	PROPN
cana-5074	117	28	.	.	PROPN
cana-5074	118	1	(	(	PUNCT
cana-5074	118	2	2018	2018	NUM
cana-5074	118	3	)	)	PUNCT
cana-5074	118	4	showed	show	VERB
cana-5074	118	5	how	how	SCONJ
cana-5074	118	6	semi	semi	ADJ
cana-5074	118	7	-	-	ADJ
cana-5074	118	8	supervised	supervised	ADJ
cana-5074	118	9	approaches	approach	NOUN
cana-5074	118	10	can	can	AUX
cana-5074	118	11	improve	improve	VERB
cana-5074	118	12	performance	performance	NOUN
cana-5074	118	13	in	in	ADP
cana-5074	118	14	low	low	ADJ
cana-5074	118	15	-	-	PUNCT
cana-5074	118	16	resource	resource	NOUN
cana-5074	118	17	scenarios	scenario	NOUN
cana-5074	118	18	compared	compare	VERB
cana-5074	118	19	to	to	ADP
cana-5074	118	20	supervised	supervised	ADJ
cana-5074	118	21	methods	method	NOUN
cana-5074	118	22	.	.	PUNCT
cana-5074	119	1	3.2	3.2	NUM
cana-5074	119	2	.	.	PUNCT
cana-5074	120	1	deep	deep	ADJ
cana-5074	120	2	learning	learning	NOUN
cana-5074	120	3	methods	method	NOUN
cana-5074	120	4	deep	deep	ADJ
cana-5074	120	5	learning	learning	NOUN
cana-5074	120	6	,	,	PUNCT
cana-5074	120	7	a	a	DET
cana-5074	120	8	specialized	specialized	ADJ
cana-5074	120	9	subdomain	subdomain	NOUN
cana-5074	120	10	of	of	ADP
cana-5074	120	11	machine	machine	NOUN
cana-5074	120	12	learning	learning	NOUN
cana-5074	120	13	characterized	characterize	VERB
cana-5074	120	14	by	by	ADP
cana-5074	120	15	the	the	DET
cana-5074	120	16	implementation	implementation	NOUN
cana-5074	120	17	of	of	ADP
cana-5074	120	18	deep	deep	ADJ
cana-5074	120	19	neural	neural	ADJ
cana-5074	120	20	networks	network	NOUN
cana-5074	120	21	,	,	PUNCT
cana-5074	120	22	has	have	AUX
cana-5074	120	23	demonstrated	demonstrate	VERB
cana-5074	120	24	significant	significant	ADJ
cana-5074	120	25	applicability	applicability	NOUN
cana-5074	120	26	in	in	ADP
cana-5074	120	27	sentiment	sentiment	NOUN
cana-5074	120	28	analysis	analysis	NOUN
cana-5074	120	29	applications	application	NOUN
cana-5074	120	30	.	.	PUNCT
cana-5074	121	1	this	this	DET
cana-5074	121	2	section	section	NOUN
cana-5074	121	3	examines	examine	VERB
cana-5074	121	4	two	two	NUM
cana-5074	121	5	distinct	distinct	ADJ
cana-5074	121	6	categories	category	NOUN
cana-5074	121	7	of	of	ADP
cana-5074	121	8	literature	literature	NOUN
cana-5074	121	9	:	:	PUNCT
cana-5074	121	10	(	(	PUNCT
cana-5074	121	11	1	1	X
cana-5074	121	12	)	)	PUNCT
cana-5074	121	13	comprehensive	comprehensive	ADJ
cana-5074	121	14	reviews	review	NOUN
cana-5074	121	15	and	and	CCONJ
cana-5074	121	16	comparative	comparative	ADJ
cana-5074	121	17	analyses	analysis	NOUN
cana-5074	121	18	of	of	ADP
cana-5074	121	19	deep	deep	ADJ
cana-5074	121	20	learning	learning	NOUN
cana-5074	121	21	applications	application	NOUN
cana-5074	121	22	in	in	ADP
cana-5074	121	23	sentiment	sentiment	NOUN
cana-5074	121	24	analysis	analysis	NOUN
cana-5074	121	25	,	,	PUNCT
cana-5074	121	26	excluding	exclude	VERB
cana-5074	121	27	systematic	systematic	ADJ
cana-5074	121	28	literature	literature	NOUN
cana-5074	121	29	reviews	review	NOUN
cana-5074	121	30	(	(	PUNCT
cana-5074	121	31	slrs	slrs	ADJ
cana-5074	121	32	)	)	PUNCT
cana-5074	121	33	and	and	CCONJ
cana-5074	121	34	systematic	systematic	ADJ
cana-5074	121	35	mapping	mapping	NOUN
cana-5074	121	36	studies	study	NOUN
cana-5074	121	37	(	(	PUNCT
cana-5074	121	38	sms	sms	PROPN
cana-5074	121	39	)	)	PUNCT
cana-5074	121	40	,	,	PUNCT
cana-5074	121	41	and	and	CCONJ
cana-5074	121	42	(	(	PUNCT
cana-5074	121	43	2	2	X
cana-5074	121	44	)	)	PUNCT
cana-5074	121	45	specific	specific	ADJ
cana-5074	121	46	deep	deep	ADJ
cana-5074	121	47	learning	learning	NOUN
cana-5074	121	48	architectures	architecture	NOUN
cana-5074	121	49	deployed	deploy	VERB
cana-5074	121	50	in	in	ADP
cana-5074	121	51	sentiment	sentiment	NOUN
cana-5074	121	52	analysis	analysis	NOUN
cana-5074	121	53	research	research	NOUN
cana-5074	121	54	(	(	PUNCT
cana-5074	121	55	seo	seo	NOUN
cana-5074	121	56	,	,	PUNCT
cana-5074	121	57	s	s	X
cana-5074	121	58	,	,	PUNCT
cana-5074	121	59	et	et	PROPN
cana-5074	121	60	al	al	PROPN
cana-5074	121	61	,	,	PUNCT
cana-5074	121	62	2020	2020	NUM
cana-5074	121	63	)	)	PUNCT
cana-5074	121	64	.	.	PUNCT
cana-5074	122	1	the	the	DET
cana-5074	122	2	assessment	assessment	NOUN
cana-5074	122	3	of	of	ADP
cana-5074	122	4	survey	survey	NOUN
cana-5074	122	5	papers	paper	NOUN
cana-5074	122	6	analyzing	analyze	VERB
cana-5074	122	7	deep	deep	ADJ
cana-5074	122	8	learning	learning	NOUN
cana-5074	122	9	-	-	PUNCT
cana-5074	122	10	based	base	VERB
cana-5074	122	11	sentiment	sentiment	NOUN
cana-5074	122	12	analysis	analysis	NOUN
cana-5074	122	13	implementations	implementation	NOUN
cana-5074	122	14	is	be	AUX
cana-5074	122	15	systematically	systematically	ADV
cana-5074	122	16	documented	document	VERB
cana-5074	122	17	in	in	ADP
cana-5074	122	18	table	table	NOUN
cana-5074	122	19	1	1	NUM
cana-5074	122	20	,	,	PUNCT
cana-5074	122	21	which	which	PRON
cana-5074	122	22	quantifies	quantify	VERB
cana-5074	122	23	the	the	DET
cana-5074	122	24	volume	volume	NOUN
cana-5074	122	25	of	of	ADP
cana-5074	122	26	papers	paper	NOUN
cana-5074	122	27	evaluated	evaluate	VERB
cana-5074	122	28	in	in	ADP
cana-5074	122	29	each	each	DET
cana-5074	122	30	survey	survey	NOUN
cana-5074	122	31	.	.	PUNCT
cana-5074	123	1	(	(	PUNCT
cana-5074	123	2	dang	dang	INTJ
cana-5074	123	3	et	et	PROPN
cana-5074	123	4	al	al	PROPN
cana-5074	123	5	.	.	PROPN
cana-5074	123	6	,2020	,2020	PUNCT
cana-5074	123	7	)	)	PUNCT
cana-5074	123	8	conducted	conduct	VERB
cana-5074	123	9	an	an	DET
cana-5074	123	10	analytical	analytical	ADJ
cana-5074	123	11	review	review	NOUN
cana-5074	123	12	of	of	ADP
cana-5074	123	13	32	32	NUM
cana-5074	123	14	papers	paper	NOUN
cana-5074	123	15	implementing	implement	VERB
cana-5074	123	16	deep	deep	ADJ
cana-5074	123	17	learning	learning	NOUN
cana-5074	123	18	architectures	architecture	NOUN
cana-5074	123	19	for	for	ADP
cana-5074	123	20	sentiment	sentiment	NOUN
cana-5074	123	21	analysis	analysis	NOUN
cana-5074	123	22	,	,	PUNCT
cana-5074	123	23	with	with	ADP
cana-5074	123	24	particular	particular	ADJ
cana-5074	123	25	emphasis	emphasis	NOUN
cana-5074	123	26	on	on	ADP
cana-5074	123	27	the	the	DET
cana-5074	123	28	comparative	comparative	ADJ
cana-5074	123	29	performance	performance	NOUN
cana-5074	123	30	evaluation	evaluation	NOUN
cana-5074	123	31	of	of	ADP
cana-5074	123	32	three	three	NUM
cana-5074	123	33	primary	primary	ADJ
cana-5074	123	34	neural	neural	ADJ
cana-5074	123	35	architectures	architecture	NOUN
cana-5074	123	36	:	:	PUNCT
cana-5074	123	37	deep	deep	ADJ
cana-5074	123	38	neural	neural	ADJ
cana-5074	123	39	networks	network	NOUN
cana-5074	123	40	(	(	PUNCT
cana-5074	123	41	dnn	dnn	PROPN
cana-5074	123	42	)	)	PUNCT
cana-5074	123	43	,	,	PUNCT
cana-5074	123	44	convolutional	convolutional	ADJ
cana-5074	123	45	neural	neural	ADJ
cana-5074	123	46	networks	network	NOUN
cana-5074	123	47	(	(	PUNCT
cana-5074	123	48	cnn	cnn	PROPN
cana-5074	123	49	)	)	PUNCT
cana-5074	123	50	,	,	PUNCT
cana-5074	123	51	and	and	CCONJ
cana-5074	123	52	recurrent	recurrent	ADJ
cana-5074	123	53	neural	neural	ADJ
cana-5074	123	54	networks	network	NOUN
cana-5074	123	55	(	(	PUNCT
cana-5074	123	56	rnn	rnn	PROPN
cana-5074	123	57	)	)	PUNCT
cana-5074	123	58	across	across	ADP
cana-5074	123	59	eight	eight	NUM
cana-5074	123	60	distinct	distinct	ADJ
cana-5074	123	61	datasets	dataset	NOUN
cana-5074	123	62	(	(	PUNCT
cana-5074	123	63	sharma	sharma	PROPN
cana-5074	123	64	,	,	PUNCT
cana-5074	123	65	ss	ss	NOUN
cana-5074	123	66	and	and	CCONJ
cana-5074	123	67	dutta	dutta	PROPN
cana-5074	123	68	g	g	PROPN
cana-5074	123	69	,	,	PUNCT
cana-5074	123	70	2018	2018	NUM
cana-5074	123	71	)	)	PUNCT
cana-5074	123	72	.	.	PUNCT
cana-5074	124	1	their	their	PRON
cana-5074	124	2	selection	selection	NOUN
cana-5074	124	3	criteria	criterion	NOUN
cana-5074	124	4	for	for	ADP
cana-5074	124	5	these	these	DET
cana-5074	124	6	architectures	architecture	NOUN
cana-5074	124	7	were	be	AUX
cana-5074	124	8	based	base	VERB
cana-5074	124	9	on	on	ADP
cana-5074	124	10	implementation	implementation	NOUN
cana-5074	124	11	frequency	frequency	NOUN
cana-5074	124	12	within	within	ADP
cana-5074	124	13	their	their	PRON
cana-5074	124	14	corpus	corpus	NOUN
cana-5074	124	15	.	.	PUNCT
cana-5074	125	1	the	the	DET
cana-5074	125	2	study	study	NOUN
cana-5074	125	3	implemented	implement	VERB
cana-5074	125	4	dual	dual	ADJ
cana-5074	125	5	feature	feature	NOUN
cana-5074	125	6	extraction	extraction	NOUN
cana-5074	125	7	methodologies	methodology	NOUN
cana-5074	125	8	word	word	NOUN
cana-5074	125	9	embeddings	embedding	NOUN
cana-5074	125	10	and	and	CCONJ
cana-5074	125	11	tf	tf	PROPN
cana-5074	125	12	-	-	PUNCT
cana-5074	125	13	idf	idf	ADJ
cana-5074	125	14	(	(	PUNCT
cana-5074	125	15	term	term	NOUN
cana-5074	125	16	frequency	frequency	NOUN
cana-5074	125	17	-	-	PUNCT
cana-5074	125	18	inverse	inverse	NOUN
cana-5074	125	19	document	document	NOUN
cana-5074	125	20	frequency	frequency	NOUN
cana-5074	125	21	)	)	PUNCT
cana-5074	125	22	for	for	ADP
cana-5074	125	23	neural	neural	ADJ
cana-5074	125	24	network	network	NOUN
cana-5074	125	25	input	input	NOUN
cana-5074	125	26	preprocessing	preprocessing	NOUN
cana-5074	125	27	(	(	PUNCT
cana-5074	125	28	shayaa	shayaa	PROPN
cana-5074	125	29	,	,	PUNCT
cana-5074	125	30	s.	s.	PROPN
cana-5074	125	31	et	et	PROPN
cana-5074	125	32	al	al	PROPN
cana-5074	125	33	,	,	PUNCT
cana-5074	125	34	2018	2018	NUM
cana-5074	125	35	)	)	PUNCT
cana-5074	125	36	their	their	PRON
cana-5074	125	37	empirical	empirical	ADJ
cana-5074	125	38	analysis	analysis	NOUN
cana-5074	125	39	demonstrated	demonstrate	VERB
cana-5074	125	40	superior	superior	ADJ
cana-5074	125	41	performance	performance	NOUN
cana-5074	125	42	metrics	metric	NOUN
cana-5074	125	43	for	for	ADP
cana-5074	125	44	rnn	rnn	NOUN
cana-5074	125	45	architectures	architecture	NOUN
cana-5074	125	46	utilizing	utilize	VERB
cana-5074	125	47	word	word	NOUN
cana-5074	125	48	embeddings	embedding	NOUN
cana-5074	125	49	,	,	PUNCT
cana-5074	125	50	albeit	albeit	SCONJ
cana-5074	125	51	with	with	ADP
cana-5074	125	52	computational	computational	ADJ
cana-5074	125	53	overhead	overhead	NOUN
cana-5074	125	54	approximately	approximately	ADV
cana-5074	125	55	ten	ten	NUM
cana-5074	125	56	times	time	NOUN
cana-5074	125	57	greater	great	ADJ
cana-5074	125	58	than	than	ADP
cana-5074	125	59	cnn	cnn	PROPN
cana-5074	125	60	implementations	implementation	NOUN
cana-5074	125	61	.	.	PUNCT
cana-5074	126	1	their	their	PRON
cana-5074	126	2	review	review	NOUN
cana-5074	126	3	identified	identify	VERB
cana-5074	126	4	multiple	multiple	ADJ
cana-5074	126	5	neural	neural	ADJ
cana-5074	126	6	architectures	architecture	NOUN
cana-5074	126	7	in	in	ADP
cana-5074	126	8	the	the	DET
cana-5074	126	9	literature	literature	NOUN
cana-5074	126	10	,	,	PUNCT
cana-5074	126	11	including	include	VERB
cana-5074	126	12	cnn	cnn	PROPN
cana-5074	126	13	,	,	PUNCT
cana-5074	126	14	various	various	ADJ
cana-5074	126	15	lstm	lstm	ADJ
cana-5074	126	16	variants	variant	NOUN
cana-5074	126	17	(	(	PUNCT
cana-5074	126	18	tree	tree	NOUN
cana-5074	126	19	-	-	PUNCT
cana-5074	126	20	lstm	lstm	ADJ
cana-5074	126	21	,	,	PUNCT
cana-5074	126	22	discourse	discourse	NOUN
cana-5074	126	23	-	-	PUNCT
cana-5074	126	24	lstm	lstm	ADJ
cana-5074	126	25	,	,	PUNCT
cana-5074	126	26	attention	attention	NOUN
cana-5074	126	27	-	-	PUNCT
cana-5074	126	28	lstm	lstm	NOUN
cana-5074	126	29	,	,	PUNCT
cana-5074	126	30	bi	bi	NOUN
cana-5074	126	31	-	-	ADJ
cana-5074	126	32	lstm	lstm	ADJ
cana-5074	126	33	)	)	PUNCT
cana-5074	126	34	,	,	PUNCT
cana-5074	126	35	gru	gru	PROPN
cana-5074	126	36	,	,	PUNCT
cana-5074	126	37	rnn	rnn	PROPN
cana-5074	126	38	,	,	PUNCT
cana-5074	126	39	coattention	coattention	NOUN
cana-5074	126	40	-	-	PUNCT
cana-5074	126	41	memnet	memnet	NOUN
cana-5074	126	42	,	,	PUNCT
cana-5074	126	43	lrnn	lrnn	PROPN
cana-5074	126	44	,	,	PUNCT
cana-5074	126	45	srn	srn	NOUN
cana-5074	126	46	,	,	PUNCT
cana-5074	126	47	and	and	CCONJ
cana-5074	126	48	rntn	rntn	NOUN
cana-5074	126	49	.	.	PUNCT
cana-5074	127	1	yadav	yadav	PROPN
cana-5074	127	2	and	and	CCONJ
cana-5074	127	3	vishwakarma	vishwakarma	PROPN
cana-5074	127	4	(	(	PUNCT
cana-5074	127	5	2019	2019	NUM
cana-5074	127	6	)	)	PUNCT
cana-5074	127	7	executed	execute	VERB
cana-5074	127	8	a	a	DET
cana-5074	127	9	more	more	ADV
cana-5074	127	10	extensive	extensive	ADJ
cana-5074	127	11	review	review	NOUN
cana-5074	127	12	encompassing	encompass	VERB
cana-5074	127	13	130	130	NUM
cana-5074	127	14	research	research	NOUN
cana-5074	127	15	papers	paper	NOUN
cana-5074	127	16	focused	focus	VERB
cana-5074	127	17	on	on	ADP
cana-5074	127	18	deep	deep	ADJ
cana-5074	127	19	learning	learning	NOUN
cana-5074	127	20	applications	application	NOUN
cana-5074	127	21	in	in	ADP
cana-5074	127	22	sentiment	sentiment	NOUN
cana-5074	127	23	analysis	analysis	NOUN
cana-5074	127	24	.	.	PUNCT
cana-5074	128	1	their	their	PRON
cana-5074	128	2	taxonomy	taxonomy	NOUN
cana-5074	128	3	of	of	ADP
cana-5074	128	4	implemented	implement	VERB
cana-5074	128	5	architectures	architecture	NOUN
cana-5074	128	6	included	include	VERB
cana-5074	128	7	:	:	PUNCT
cana-5074	128	8	cnn	cnn	PROPN
cana-5074	128	9	,	,	PUNCT
cana-5074	128	10	recnn	recnn	PROPN
cana-5074	128	11	,	,	PUNCT
cana-5074	128	12	rnn	rnn	VERB
cana-5074	128	13	variants	variant	NOUN
cana-5074	128	14	(	(	PUNCT
cana-5074	128	15	lstm	lstm	NOUN
cana-5074	128	16	and	and	CCONJ
cana-5074	128	17	gru	gru	PROPN
cana-5074	128	18	)	)	PUNCT
cana-5074	128	19	,	,	PUNCT
cana-5074	128	20	dbn	dbn	PROPN
cana-5074	128	21	,	,	PUNCT
cana-5074	128	22	attention	attention	NOUN
cana-5074	128	23	-	-	PUNCT
cana-5074	128	24	based	base	VERB
cana-5074	128	25	network	network	NOUN
cana-5074	128	26	,	,	PUNCT
cana-5074	128	27	bi	bi	NOUN
cana-5074	128	28	-	-	NOUN
cana-5074	128	29	rnn	rnn	PROPN
cana-5074	128	30	,	,	PUNCT
cana-5074	128	31	and	and	CCONJ
cana-5074	128	32	capsule	capsule	NOUN
cana-5074	128	33	network	network	NOUN
cana-5074	128	34	.	.	PUNCT
cana-5074	129	1	while	while	SCONJ
cana-5074	129	2	their	their	PRON
cana-5074	129	3	findings	finding	NOUN
cana-5074	129	4	indicated	indicate	VERB
cana-5074	129	5	superior	superior	ADJ
cana-5074	129	6	performance	performance	NOUN
cana-5074	129	7	characteristics	characteristic	NOUN
cana-5074	129	8	for	for	ADP
cana-5074	129	9	lstm	lstm	NOUN
cana-5074	129	10	architectures	architecture	NOUN
cana-5074	129	11	and	and	CCONJ
cana-5074	129	12	overall	overall	ADJ
cana-5074	129	13	promising	promising	ADJ
cana-5074	129	14	results	result	NOUN
cana-5074	129	15	for	for	ADP
cana-5074	129	16	deep	deep	ADJ
cana-5074	129	17	learning	learning	NOUN
cana-5074	129	18	communications	communication	NOUN
cana-5074	129	19	on	on	ADP
cana-5074	129	20	applied	apply	VERB
cana-5074	129	21	nonlinear	nonlinear	ADJ
cana-5074	129	22	analysis	analysis	NOUN
cana-5074	129	23	issn	issn	NOUN
cana-5074	129	24	:	:	PUNCT
cana-5074	129	25	1074	1074	NUM
cana-5074	129	26	-	-	PUNCT
cana-5074	129	27	133x	133x	NUM
cana-5074	129	28	vol	vol	NOUN
cana-5074	129	29	32	32	NUM
cana-5074	129	30	no	no	NOUN
cana-5074	129	31	.	.	PUNCT
cana-5074	130	1	icmasd	icmasd	NOUN
cana-5074	130	2	(	(	PUNCT
cana-5074	130	3	2025	2025	NUM
cana-5074	130	4	)	)	PUNCT
cana-5074	130	5	466	466	NUM
cana-5074	130	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5074	130	7	implementations	implementation	NOUN
cana-5074	130	8	,	,	PUNCT
cana-5074	130	9	they	they	PRON
cana-5074	130	10	identified	identify	VERB
cana-5074	130	11	two	two	NUM
cana-5074	130	12	critical	critical	ADJ
cana-5074	130	13	constraints	constraint	NOUN
cana-5074	130	14	:	:	PUNCT
cana-5074	130	15	substantial	substantial	ADJ
cana-5074	130	16	data	datum	NOUN
cana-5074	130	17	requirements	requirement	NOUN
cana-5074	130	18	and	and	CCONJ
cana-5074	130	19	limited	limited	ADJ
cana-5074	130	20	availability	availability	NOUN
cana-5074	130	21	of	of	ADP
cana-5074	130	22	training	training	NOUN
cana-5074	130	23	datasets	dataset	NOUN
cana-5074	130	24	.	.	PUNCT
cana-5074	131	1	table	table	NOUN
cana-5074	131	2	1	1	NUM
cana-5074	131	3	.	.	PUNCT
cana-5074	132	1	survey	survey	NOUN
cana-5074	132	2	articles	article	NOUN
cana-5074	132	3	that	that	SCONJ
cana-5074	132	4	utilized	utilize	VERB
cana-5074	132	5	deep	deep	ADJ
cana-5074	132	6	learning	learning	NOUN
cana-5074	132	7	for	for	ADP
cana-5074	132	8	sentiment	sentiment	NOUN
cana-5074	132	9	analysis	analysis	NOUN
cana-5074	132	10	source	source	NOUN
cana-5074	132	11	reference	reference	NOUN
cana-5074	132	12	title	title	NOUN
cana-5074	132	13	no	no	PRON
cana-5074	132	14	of	of	ADP
cana-5074	132	15	papers	paper	NOUN
cana-5074	132	16	year	year	NOUN
cana-5074	132	17	mdpi	mdpi	X
cana-5074	132	18	dang	dang	INTJ
cana-5074	132	19	et	et	PROPN
cana-5074	132	20	al	al	PROPN
cana-5074	132	21	.	.	PROPN
cana-5074	133	1	(	(	PUNCT
cana-5074	133	2	2020	2020	NUM
cana-5074	133	3	)	)	PUNCT
cana-5074	133	4	sentiment	sentiment	NOUN
cana-5074	133	5	analysis	analysis	NOUN
cana-5074	133	6	based	base	VERB
cana-5074	133	7	on	on	ADP
cana-5074	133	8	deep	deep	ADJ
cana-5074	133	9	learning	learning	NOUN
cana-5074	133	10	:	:	PUNCT
cana-5074	133	11	a	a	DET
cana-5074	133	12	comparative	comparative	ADJ
cana-5074	133	13	study	study	NOUN
cana-5074	133	14	40	40	NUM
cana-5074	133	15	2023	2023	NUM
cana-5074	133	16	springer	springer	NOUN
cana-5074	133	17	yadav	yadav	NOUN
cana-5074	133	18	and	and	CCONJ
cana-5074	133	19	vishwakarma	vishwakarma	PROPN
cana-5074	133	20	(	(	PUNCT
cana-5074	133	21	2019	2019	NUM
cana-5074	133	22	)	)	PUNCT
cana-5074	133	23	sentiment	sentiment	NOUN
cana-5074	133	24	analysis	analysis	NOUN
cana-5074	133	25	using	use	VERB
cana-5074	133	26	deep	deep	ADJ
cana-5074	133	27	learning	learning	NOUN
cana-5074	133	28	architectures	architecture	NOUN
cana-5074	133	29	:	:	PUNCT
cana-5074	133	30	a	a	DET
cana-5074	133	31	review	review	NOUN
cana-5074	133	32	131	131	NUM
cana-5074	133	33	2021	2021	NUM
cana-5074	133	34	wiley	wiley	PROPN
cana-5074	133	35	zhang	zhang	PROPN
cana-5074	133	36	et	et	PROPN
cana-5074	133	37	al	al	PROPN
cana-5074	133	38	.	.	PROPN
cana-5074	134	1	(	(	PUNCT
cana-5074	134	2	2018	2018	NUM
cana-5074	134	3	)	)	PUNCT
cana-5074	134	4	deep	deep	ADJ
cana-5074	134	5	learning	learning	NOUN
cana-5074	134	6	for	for	ADP
cana-5074	134	7	sentiment	sentiment	NOUN
cana-5074	134	8	analysis	analysis	NOUN
cana-5074	134	9	:	:	PUNCT
cana-5074	134	10	a	a	DET
cana-5074	134	11	survey	survey	NOUN
cana-5074	134	12	62	62	NUM
cana-5074	134	13	*	*	SYM
cana-5074	134	14	2018	2018	NUM
cana-5074	134	15	wiley	wiley	PROPN
cana-5074	134	16	rojas‐barahona	rojas‐barahona	NOUN
cana-5074	134	17	(	(	PUNCT
cana-5074	134	18	2016	2016	NUM
cana-5074	134	19	)	)	PUNCT
cana-5074	134	20	deep	deep	ADJ
cana-5074	134	21	learning	learning	NOUN
cana-5074	134	22	for	for	ADP
cana-5074	134	23	sentiment	sentiment	NOUN
cana-5074	134	24	analysis	analysis	NOUN
cana-5074	134	25	.	.	PUNCT
cana-5074	135	1	language	language	NOUN
cana-5074	135	2	and	and	CCONJ
cana-5074	135	3	linguistics	linguistic	NOUN
cana-5074	135	4	compass	compass	ADJ
cana-5074	135	5	8	8	NUM
cana-5074	135	6	2016	2016	NUM
cana-5074	135	7	springer	springer	NOUN
cana-5074	135	8	habimana	habimana	PROPN
cana-5074	135	9	et	et	PROPN
cana-5074	135	10	al	al	PROPN
cana-5074	135	11	.	.	PROPN
cana-5074	135	12	(	(	PUNCT
cana-5074	135	13	2020a	2020a	NUM
cana-5074	135	14	)	)	PUNCT
cana-5074	135	15	sentiment	sentiment	NOUN
cana-5074	135	16	analysis	analysis	NOUN
cana-5074	135	17	using	use	VERB
cana-5074	135	18	deep	deep	ADJ
cana-5074	135	19	learning	learning	NOUN
cana-5074	135	20	approaches	approach	NOUN
cana-5074	135	21	:	:	PUNCT
cana-5074	135	22	an	an	DET
cana-5074	135	23	overview	overview	NOUN
cana-5074	135	24	54	54	NUM
cana-5074	135	25	*	*	SYM
cana-5074	135	26	2020	2020	NUM
cana-5074	135	27	science	science	NOUN
cana-5074	135	28	direct	direct	ADJ
cana-5074	135	29	do	do	AUX
cana-5074	135	30	et	et	PROPN
cana-5074	135	31	al	al	PROPN
cana-5074	135	32	.	.	PROPN
cana-5074	136	1	(	(	PUNCT
cana-5074	136	2	2019	2019	NUM
cana-5074	136	3	)	)	PUNCT
cana-5074	136	4	deep	deep	ADJ
cana-5074	136	5	learning	learning	NOUN
cana-5074	136	6	for	for	ADP
cana-5074	136	7	aspectbased	aspectbase	VERB
cana-5074	136	8	sentiment	sentiment	NOUN
cana-5074	136	9	analysis	analysis	NOUN
cana-5074	136	10	:	:	PUNCT
cana-5074	136	11	a	a	DET
cana-5074	136	12	comparative	comparative	ADJ
cana-5074	136	13	review	review	NOUN
cana-5074	136	14	40	40	NUM
cana-5074	136	15	2019	2019	NUM
cana-5074	136	16	arxiv.org	arxiv.org	PROPN
cana-5074	136	17	minaee	minaee	X
cana-5074	136	18	et	et	PROPN
cana-5074	136	19	al	al	PROPN
cana-5074	136	20	.	.	PROPN
cana-5074	137	1	(	(	PUNCT
cana-5074	137	2	2020	2020	NUM
cana-5074	137	3	)	)	PUNCT
cana-5074	137	4	deep	deep	ADJ
cana-5074	137	5	learning	learning	NOUN
cana-5074	137	6	-	-	PUNCT
cana-5074	137	7	based	base	VERB
cana-5074	137	8	text	text	NOUN
cana-5074	137	9	classification	classification	NOUN
cana-5074	137	10	:	:	PUNCT
cana-5074	137	11	a	a	DET
cana-5074	137	12	comprehensive	comprehensive	ADJ
cana-5074	137	13	review	review	NOUN
cana-5074	137	14	22	22	NUM
cana-5074	137	15	2020	2020	NUM
cana-5074	137	16	zhang	zhang	PROPN
cana-5074	137	17	et	et	PROPN
cana-5074	137	18	al	al	PROPN
cana-5074	137	19	.	.	PROPN
cana-5074	138	1	(	(	PUNCT
cana-5074	138	2	2018	2018	NUM
cana-5074	138	3	)	)	PUNCT
cana-5074	138	4	published	publish	VERB
cana-5074	138	5	a	a	DET
cana-5074	138	6	comprehensive	comprehensive	ADJ
cana-5074	138	7	survey	survey	NOUN
cana-5074	138	8	examining	examine	VERB
cana-5074	138	9	the	the	DET
cana-5074	138	10	application	application	NOUN
cana-5074	138	11	of	of	ADP
cana-5074	138	12	deep	deep	ADJ
cana-5074	138	13	learning	learning	NOUN
cana-5074	138	14	methods	method	NOUN
cana-5074	138	15	in	in	ADP
cana-5074	138	16	sentiment	sentiment	NOUN
cana-5074	138	17	analysis	analysis	NOUN
cana-5074	138	18	across	across	ADP
cana-5074	138	19	three	three	NUM
cana-5074	138	20	distinct	distinct	ADJ
cana-5074	138	21	classification	classification	NOUN
cana-5074	138	22	levels	level	NOUN
cana-5074	138	23	:	:	PUNCT
cana-5074	138	24	document	document	NOUN
cana-5074	138	25	,	,	PUNCT
cana-5074	138	26	sentence	sentence	NOUN
cana-5074	138	27	,	,	PUNCT
cana-5074	138	28	and	and	CCONJ
cana-5074	138	29	aspect	aspect	NOUN
cana-5074	138	30	-	-	PUNCT
cana-5074	138	31	level	level	NOUN
cana-5074	138	32	sentiment	sentiment	NOUN
cana-5074	138	33	classification	classification	NOUN
cana-5074	138	34	.	.	PUNCT
cana-5074	139	1	at	at	ADP
cana-5074	139	2	the	the	DET
cana-5074	139	3	document	document	NOUN
cana-5074	139	4	level	level	NOUN
cana-5074	139	5	,	,	PUNCT
cana-5074	139	6	they	they	PRON
cana-5074	139	7	identified	identify	VERB
cana-5074	139	8	a	a	DET
cana-5074	139	9	diverse	diverse	ADJ
cana-5074	139	10	range	range	NOUN
cana-5074	139	11	of	of	ADP
cana-5074	139	12	implemented	implement	VERB
cana-5074	139	13	architectures	architecture	NOUN
cana-5074	139	14	including	include	VERB
cana-5074	139	15	artificial	artificial	ADJ
cana-5074	139	16	neural	neural	ADJ
cana-5074	139	17	networks	network	NOUN
cana-5074	139	18	(	(	PUNCT
cana-5074	139	19	ann	ann	PROPN
cana-5074	139	20	)	)	PUNCT
cana-5074	139	21	,	,	PUNCT
cana-5074	139	22	stacked	stack	VERB
cana-5074	139	23	denoising	denoise	VERB
cana-5074	139	24	autoencoder	autoencoder	NOUN
cana-5074	139	25	(	(	PUNCT
cana-5074	139	26	dsa	dsa	PROPN
cana-5074	139	27	)	)	PUNCT
cana-5074	139	28	,	,	PUNCT
cana-5074	139	29	denoising	denoise	VERB
cana-5074	139	30	autoencoder	autoencoder	NOUN
cana-5074	139	31	,	,	PUNCT
cana-5074	139	32	cnn	cnn	PROPN
cana-5074	139	33	,	,	PUNCT
cana-5074	139	34	lstm	lstm	PROPN
cana-5074	139	35	,	,	PUNCT
cana-5074	139	36	gru	gru	PROPN
cana-5074	139	37	,	,	PUNCT
cana-5074	139	38	memory	memory	NOUN
cana-5074	139	39	networks	network	NOUN
cana-5074	139	40	,	,	PUNCT
cana-5074	139	41	and	and	CCONJ
cana-5074	139	42	grubased	grubased	ADJ
cana-5074	139	43	encoder	encoder	NOUN
cana-5074	139	44	.	.	PUNCT
cana-5074	140	1	for	for	ADP
cana-5074	140	2	sentence	sentence	NOUN
cana-5074	140	3	-	-	PUNCT
cana-5074	140	4	level	level	NOUN
cana-5074	140	5	sentiment	sentiment	NOUN
cana-5074	140	6	classification	classification	NOUN
cana-5074	140	7	,	,	PUNCT
cana-5074	140	8	they	they	PRON
cana-5074	140	9	documented	document	VERB
cana-5074	140	10	the	the	DET
cana-5074	140	11	use	use	NOUN
cana-5074	140	12	of	of	ADP
cana-5074	140	13	several	several	ADJ
cana-5074	140	14	neural	neural	ADJ
cana-5074	140	15	network	network	NOUN
cana-5074	140	16	architectures	architecture	NOUN
cana-5074	140	17	:	:	PUNCT
cana-5074	140	18	cnn	cnn	PROPN
cana-5074	140	19	,	,	PUNCT
cana-5074	140	20	rnn	rnn	PROPN
cana-5074	140	21	,	,	PUNCT
cana-5074	140	22	semi	semi	ADJ
cana-5074	140	23	-	-	ADJ
cana-5074	140	24	supervised	supervised	ADJ
cana-5074	140	25	recursive	recursive	ADJ
cana-5074	140	26	autoencoders	autoencoder	NOUN
cana-5074	140	27	network	network	NOUN
cana-5074	140	28	(	(	PUNCT
cana-5074	140	29	rae	rae	PROPN
cana-5074	140	30	)	)	PUNCT
cana-5074	140	31	,	,	PUNCT
cana-5074	140	32	recursive	recursive	ADJ
cana-5074	140	33	neural	neural	ADJ
cana-5074	140	34	network	network	NOUN
cana-5074	140	35	,	,	PUNCT
cana-5074	140	36	and	and	CCONJ
cana-5074	140	37	recursive	recursive	ADJ
cana-5074	140	38	neural	neural	ADJ
cana-5074	140	39	tensor	tensor	NOUN
cana-5074	140	40	network	network	NOUN
cana-5074	140	41	.	.	PUNCT
cana-5074	141	1	this	this	DET
cana-5074	141	2	comprehensive	comprehensive	ADJ
cana-5074	141	3	breakdown	breakdown	NOUN
cana-5074	141	4	illustrates	illustrate	VERB
cana-5074	141	5	how	how	SCONJ
cana-5074	141	6	different	different	ADJ
cana-5074	141	7	deep	deep	ADJ
cana-5074	141	8	learning	learning	NOUN
cana-5074	141	9	approaches	approach	NOUN
cana-5074	141	10	are	be	AUX
cana-5074	141	11	tailored	tailor	VERB
cana-5074	141	12	to	to	ADP
cana-5074	141	13	specific	specific	ADJ
cana-5074	141	14	granularities	granularity	NOUN
cana-5074	141	15	of	of	ADP
cana-5074	141	16	sentiment	sentiment	NOUN
cana-5074	141	17	analysis	analysis	NOUN
cana-5074	141	18	tasks	task	NOUN
cana-5074	141	19	.	.	PUNCT
cana-5074	142	1	communications	communication	NOUN
cana-5074	142	2	on	on	ADP
cana-5074	142	3	applied	apply	VERB
cana-5074	142	4	nonlinear	nonlinear	ADJ
cana-5074	142	5	analysis	analysis	NOUN
cana-5074	142	6	issn	issn	NOUN
cana-5074	142	7	:	:	PUNCT
cana-5074	142	8	1074	1074	NUM
cana-5074	142	9	-	-	PUNCT
cana-5074	142	10	133x	133x	NUM
cana-5074	142	11	vol	vol	NOUN
cana-5074	142	12	32	32	NUM
cana-5074	142	13	no	no	NOUN
cana-5074	142	14	.	.	PUNCT
cana-5074	143	1	icmasd	icmasd	NOUN
cana-5074	143	2	(	(	PUNCT
cana-5074	143	3	2025	2025	NUM
cana-5074	143	4	)	)	PUNCT
cana-5074	143	5	467	467	NUM
cana-5074	143	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5074	143	7	4	4	NUM
cana-5074	143	8	.	.	PUNCT
cana-5074	143	9	prisma	prisma	PROPN
cana-5074	143	10	approach	approach	NOUN
cana-5074	143	11	of	of	ADP
cana-5074	143	12	systematic	systematic	ADJ
cana-5074	143	13	review	review	NOUN
cana-5074	143	14	fig	fig	NOUN
cana-5074	143	15	.	.	PUNCT
cana-5074	144	1	2	2	NUM
cana-5074	144	2	:	:	PUNCT
cana-5074	144	3	prisma	prisma	PROPN
cana-5074	144	4	flow	flow	NOUN
cana-5074	144	5	diagram	diagram	NOUN
cana-5074	144	6	for	for	ADP
cana-5074	144	7	review	review	NOUN
cana-5074	144	8	of	of	ADP
cana-5074	144	9	sentiment	sentiment	NOUN
cana-5074	144	10	analysis	analysis	NOUN
cana-5074	144	11	the	the	DET
cana-5074	144	12	prisma	prisma	PROPN
cana-5074	144	13	flow	flow	NOUN
cana-5074	144	14	diagram	diagram	PROPN
cana-5074	144	15	presented	present	VERB
cana-5074	144	16	illustrates	illustrate	VERB
cana-5074	144	17	the	the	DET
cana-5074	144	18	systematic	systematic	ADJ
cana-5074	144	19	review	review	NOUN
cana-5074	144	20	process	process	NOUN
cana-5074	144	21	for	for	ADP
cana-5074	144	22	research	research	NOUN
cana-5074	144	23	papers	paper	NOUN
cana-5074	144	24	focused	focus	VERB
cana-5074	144	25	on	on	ADP
cana-5074	144	26	sentiment	sentiment	NOUN
cana-5074	144	27	analysis	analysis	NOUN
cana-5074	144	28	.	.	PUNCT
cana-5074	145	1	beginning	begin	VERB
cana-5074	145	2	with	with	ADP
cana-5074	145	3	a	a	DET
cana-5074	145	4	foundation	foundation	NOUN
cana-5074	145	5	of	of	ADP
cana-5074	145	6	85	85	NUM
cana-5074	145	7	previous	previous	ADJ
cana-5074	145	8	studies	study	NOUN
cana-5074	145	9	documented	document	VERB
cana-5074	145	10	in	in	ADP
cana-5074	145	11	23	23	NUM
cana-5074	145	12	reports	report	NOUN
cana-5074	145	13	,	,	PUNCT
cana-5074	145	14	the	the	DET
cana-5074	145	15	review	review	NOUN
cana-5074	145	16	expanded	expand	VERB
cana-5074	145	17	through	through	ADP
cana-5074	145	18	two	two	NUM
cana-5074	145	19	main	main	ADJ
cana-5074	145	20	identification	identification	NOUN
cana-5074	145	21	channels	channel	NOUN
cana-5074	145	22	.	.	PUNCT
cana-5074	146	1	the	the	DET
cana-5074	146	2	first	first	ADJ
cana-5074	146	3	channel	channel	NOUN
cana-5074	146	4	involved	involve	VERB
cana-5074	146	5	searching	search	VERB
cana-5074	146	6	databases	database	NOUN
cana-5074	146	7	and	and	CCONJ
cana-5074	146	8	registers	register	NOUN
cana-5074	146	9	,	,	PUNCT
cana-5074	146	10	which	which	PRON
cana-5074	146	11	yielded	yield	VERB
cana-5074	146	12	15	15	NUM
cana-5074	146	13	and	and	CCONJ
cana-5074	146	14	10	10	NUM
cana-5074	146	15	records	record	NOUN
cana-5074	146	16	respectively	respectively	ADV
cana-5074	146	17	.	.	PUNCT
cana-5074	147	1	these	these	PRON
cana-5074	147	2	underwent	undergo	VERB
cana-5074	147	3	a	a	DET
cana-5074	147	4	rigorous	rigorous	ADJ
cana-5074	147	5	screening	screening	NOUN
cana-5074	147	6	process	process	NOUN
cana-5074	147	7	where	where	SCONJ
cana-5074	147	8	20	20	NUM
cana-5074	147	9	duplicate	duplicate	ADJ
cana-5074	147	10	records	record	NOUN
cana-5074	147	11	,	,	PUNCT
cana-5074	147	12	15	15	NUM
cana-5074	147	13	automated	automate	VERB
cana-5074	147	14	ineligibility	ineligibility	NOUN
cana-5074	147	15	removals	removal	NOUN
cana-5074	147	16	,	,	PUNCT
cana-5074	147	17	and	and	CCONJ
cana-5074	147	18	5	5	NUM
cana-5074	147	19	other	other	ADJ
cana-5074	147	20	removals	removal	NOUN
cana-5074	147	21	were	be	AUX
cana-5074	147	22	processed	process	VERB
cana-5074	147	23	.	.	PUNCT
cana-5074	148	1	from	from	ADP
cana-5074	148	2	the	the	DET
cana-5074	148	3	remaining	remain	VERB
cana-5074	148	4	65	65	NUM
cana-5074	148	5	records	record	NOUN
cana-5074	148	6	,	,	PUNCT
cana-5074	148	7	2	2	NUM
cana-5074	148	8	were	be	AUX
cana-5074	148	9	excluded	exclude	VERB
cana-5074	148	10	during	during	ADP
cana-5074	148	11	screening	screening	NOUN
cana-5074	148	12	,	,	PUNCT
cana-5074	148	13	leaving	leave	VERB
cana-5074	148	14	20	20	NUM
cana-5074	148	15	reports	report	NOUN
cana-5074	148	16	for	for	ADP
cana-5074	148	17	retrieval	retrieval	NOUN
cana-5074	148	18	.	.	PUNCT
cana-5074	149	1	after	after	SCONJ
cana-5074	149	2	5	5	NUM
cana-5074	149	3	of	of	ADP
cana-5074	149	4	these	these	PRON
cana-5074	149	5	could	could	AUX
cana-5074	149	6	n't	not	PART
cana-5074	149	7	be	be	AUX
cana-5074	149	8	retrieved	retrieve	VERB
cana-5074	149	9	,	,	PUNCT
cana-5074	149	10	the	the	DET
cana-5074	149	11	remaining	remain	VERB
cana-5074	149	12	underwent	underwent	NOUN
cana-5074	149	13	eligibility	eligibility	NOUN
cana-5074	149	14	assessment	assessment	NOUN
cana-5074	149	15	.	.	PUNCT
cana-5074	150	1	the	the	DET
cana-5074	150	2	second	second	ADJ
cana-5074	150	3	identification	identification	NOUN
cana-5074	150	4	channel	channel	NOUN
cana-5074	150	5	explored	explore	VERB
cana-5074	150	6	alternative	alternative	ADJ
cana-5074	150	7	sources	source	NOUN
cana-5074	150	8	,	,	PUNCT
cana-5074	150	9	finding	find	VERB
cana-5074	150	10	10	10	NUM
cana-5074	150	11	records	record	NOUN
cana-5074	150	12	from	from	ADP
cana-5074	150	13	websites	website	NOUN
cana-5074	150	14	,	,	PUNCT
cana-5074	150	15	1	1	NUM
cana-5074	150	16	from	from	ADP
cana-5074	150	17	organizations	organization	NOUN
cana-5074	150	18	,	,	PUNCT
cana-5074	150	19	and	and	CCONJ
cana-5074	150	20	90	90	NUM
cana-5074	150	21	through	through	ADP
cana-5074	150	22	citation	citation	NOUN
cana-5074	150	23	searching	searching	NOUN
cana-5074	150	24	.	.	PUNCT
cana-5074	151	1	this	this	DET
cana-5074	151	2	pathway	pathway	NOUN
cana-5074	151	3	led	lead	VERB
cana-5074	151	4	to	to	ADP
cana-5074	151	5	10	10	NUM
cana-5074	151	6	reports	report	NOUN
cana-5074	151	7	being	be	AUX
cana-5074	151	8	sought	seek	VERB
cana-5074	151	9	,	,	PUNCT
cana-5074	151	10	though	though	SCONJ
cana-5074	151	11	2	2	NUM
cana-5074	151	12	could	could	AUX
cana-5074	151	13	n't	not	PART
cana-5074	151	14	be	be	AUX
cana-5074	151	15	retrieved	retrieve	VERB
cana-5074	151	16	,	,	PUNCT
cana-5074	151	17	and	and	CCONJ
cana-5074	151	18	5	5	NUM
cana-5074	151	19	underwent	underwent	NOUN
cana-5074	151	20	eligibility	eligibility	NOUN
cana-5074	151	21	assessment	assessment	NOUN
cana-5074	151	22	.	.	PUNCT
cana-5074	152	1	the	the	DET
cana-5074	152	2	process	process	NOUN
cana-5074	152	3	culminated	culminate	VERB
cana-5074	152	4	in	in	ADP
cana-5074	152	5	the	the	DET
cana-5074	152	6	inclusion	inclusion	NOUN
cana-5074	152	7	of	of	ADP
cana-5074	152	8	10	10	NUM
cana-5074	152	9	new	new	ADJ
cana-5074	152	10	sentiment	sentiment	NOUN
cana-5074	152	11	analysis	analysis	NOUN
cana-5074	152	12	studies	study	NOUN
cana-5074	152	13	with	with	ADP
cana-5074	152	14	their	their	PRON
cana-5074	152	15	corresponding	correspond	VERB
cana-5074	152	16	reports	report	NOUN
cana-5074	152	17	.	.	PUNCT
cana-5074	153	1	when	when	SCONJ
cana-5074	153	2	combined	combine	VERB
cana-5074	153	3	with	with	ADP
cana-5074	153	4	the	the	DET
cana-5074	153	5	previous	previous	ADJ
cana-5074	153	6	research	research	NOUN
cana-5074	153	7	,	,	PUNCT
cana-5074	153	8	this	this	PRON
cana-5074	153	9	resulted	result	VERB
cana-5074	153	10	in	in	ADP
cana-5074	153	11	a	a	DET
cana-5074	153	12	final	final	ADJ
cana-5074	153	13	collection	collection	NOUN
cana-5074	153	14	of	of	ADP
cana-5074	153	15	15	15	NUM
cana-5074	153	16	studies	study	NOUN
cana-5074	153	17	and	and	CCONJ
cana-5074	153	18	their	their	PRON
cana-5074	153	19	associated	associated	ADJ
cana-5074	153	20	reports	report	NOUN
cana-5074	153	21	,	,	PUNCT
cana-5074	153	22	creating	create	VERB
cana-5074	153	23	a	a	DET
cana-5074	153	24	comprehensive	comprehensive	ADJ
cana-5074	153	25	foundation	foundation	NOUN
cana-5074	153	26	for	for	ADP
cana-5074	153	27	the	the	DET
cana-5074	153	28	systematic	systematic	ADJ
cana-5074	153	29	review	review	NOUN
cana-5074	153	30	of	of	ADP
cana-5074	153	31	sentiment	sentiment	NOUN
cana-5074	153	32	analysis	analysis	NOUN
cana-5074	153	33	research	research	NOUN
cana-5074	153	34	.	.	PUNCT
cana-5074	154	1	communications	communication	NOUN
cana-5074	154	2	on	on	ADP
cana-5074	154	3	applied	apply	VERB
cana-5074	154	4	nonlinear	nonlinear	ADJ
cana-5074	154	5	analysis	analysis	NOUN
cana-5074	154	6	issn	issn	NOUN
cana-5074	154	7	:	:	PUNCT
cana-5074	154	8	1074	1074	NUM
cana-5074	154	9	-	-	PUNCT
cana-5074	154	10	133x	133x	NUM
cana-5074	154	11	vol	vol	NOUN
cana-5074	154	12	32	32	NUM
cana-5074	154	13	no	no	NOUN
cana-5074	154	14	.	.	PUNCT
cana-5074	155	1	icmasd	icmasd	NOUN
cana-5074	155	2	(	(	PUNCT
cana-5074	155	3	2025	2025	NUM
cana-5074	155	4	)	)	PUNCT
cana-5074	155	5	468	468	NUM
cana-5074	155	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5074	155	7	table	table	NOUN
cana-5074	155	8	2	2	NUM
cana-5074	155	9	.	.	PUNCT
cana-5074	155	10	distribution	distribution	NOUN
cana-5074	155	11	of	of	ADP
cana-5074	155	12	machine	machine	NOUN
cana-5074	155	13	learning	learning	NOUN
cana-5074	155	14	and	and	CCONJ
cana-5074	155	15	deep	deep	ADJ
cana-5074	155	16	learning	learning	NOUN
cana-5074	155	17	techniques	technique	NOUN
cana-5074	155	18	from	from	ADP
cana-5074	155	19	year	year	NOUN
cana-5074	155	20	20202024	20202024	NUM
cana-5074	155	21	s.	s.	PROPN
cana-5074	155	22	no	no	DET
cana-5074	155	23	.	.	PUNCT
cana-5074	155	24	technique	technique	NOUN
cana-5074	155	25	used	use	VERB
cana-5074	155	26	no	no	NOUN
cana-5074	155	27	.	.	PUNCT
cana-5074	155	28	of	of	ADP
cana-5074	155	29	papers	paper	NOUN
cana-5074	155	30	involved	involve	VERB
cana-5074	155	31	accuracy	accuracy	NOUN
cana-5074	155	32	achieved	achieve	VERB
cana-5074	155	33	1	1	NUM
cana-5074	155	34	lstm	lstm	NOUN
cana-5074	155	35	81	81	NUM
cana-5074	155	36	35.53	35.53	NUM
cana-5074	155	37	2	2	NUM
cana-5074	155	38	cnn	cnn	NOUN
cana-5074	155	39	76	76	NUM
cana-5074	155	40	33.33	33.33	NUM
cana-5074	155	41	3	3	NUM
cana-5074	155	42	gru	gru	NOUN
cana-5074	155	43	20	20	NUM
cana-5074	155	44	8.77	8.77	NUM
cana-5074	155	45	4	4	NUM
cana-5074	155	46	rnn	rnn	VERB
cana-5074	155	47	18	18	NUM
cana-5074	155	48	7.89	7.89	NUM
cana-5074	155	49	5	5	NUM
cana-5074	155	50	bidirectional	bidirectional	ADJ
cana-5074	155	51	encoder	encoder	NOUN
cana-5074	155	52	representations	representation	VERB
cana-5074	155	53	from	from	ADP
cana-5074	155	54	transformers	transformer	NOUN
cana-5074	155	55	(	(	PUNCT
cana-5074	155	56	bert	bert	PROPN
cana-5074	155	57	)	)	PUNCT
cana-5074	155	58	7	7	NUM
cana-5074	155	59	3.07	3.07	NUM
cana-5074	155	60	6	6	NUM
cana-5074	155	61	dnn	dnn	PROPN
cana-5074	156	1	4	4	NUM
cana-5074	156	2	1.75	1.75	NUM
cana-5074	156	3	7	7	NUM
cana-5074	156	4	renn	renn	PROPN
cana-5074	156	5	4	4	NUM
cana-5074	156	6	1.75	1.75	NUM
cana-5074	156	7	8	8	NUM
cana-5074	156	8	graph	graph	NOUN
cana-5074	156	9	convolutional	convolutional	ADJ
cana-5074	156	10	neural	neural	ADJ
cana-5074	156	11	network	network	NOUN
cana-5074	156	12	(	(	PUNCT
cana-5074	156	13	gcn	gcn	NOUN
cana-5074	156	14	)	)	PUNCT
cana-5074	156	15	3	3	NUM
cana-5074	156	16	1.32	1.32	NUM
cana-5074	156	17	9	9	NUM
cana-5074	156	18	capsule	capsule	NOUN
cana-5074	156	19	network	network	NOUN
cana-5074	156	20	(	(	PUNCT
cana-5074	156	21	capsn	capsn	PROPN
cana-5074	156	22	)	)	PUNCT
cana-5074	156	23	2	2	NUM
cana-5074	156	24	0.88	0.88	NUM
cana-5074	156	25	10	10	NUM
cana-5074	156	26	recurrent	recurrent	ADJ
cana-5074	156	27	convolutional	convolutional	ADJ
cana-5074	156	28	neural	neural	ADJ
cana-5074	156	29	network	network	NOUN
cana-5074	156	30	(	(	PUNCT
cana-5074	156	31	rcnn	rcnn	PROPN
cana-5074	156	32	)	)	PUNCT
cana-5074	156	33	2	2	NUM
cana-5074	156	34	0.88	0.88	NUM
cana-5074	156	35	11	11	NUM
cana-5074	156	36	distillation	distillation	NOUN
cana-5074	156	37	network	network	NOUN
cana-5074	156	38	(	(	PUNCT
cana-5074	156	39	dn	dn	NOUN
cana-5074	156	40	)	)	PUNCT
cana-5074	156	41	2	2	NUM
cana-5074	156	42	0.88	0.88	NUM
cana-5074	156	43	12	12	NUM
cana-5074	156	44	generative	generative	ADJ
cana-5074	156	45	adversarial	adversarial	ADJ
cana-5074	156	46	network	network	NOUN
cana-5074	156	47	(	(	PUNCT
cana-5074	156	48	gan	gan	PROPN
cana-5074	156	49	)	)	PUNCT
cana-5074	156	50	1	1	NUM
cana-5074	156	51	0.44	0.44	NUM
cana-5074	156	52	13	13	NUM
cana-5074	156	53	gated	gate	VERB
cana-5074	156	54	alternate	alternate	ADJ
cana-5074	156	55	neural	neural	ADJ
cana-5074	156	56	network	network	NOUN
cana-5074	156	57	(	(	PUNCT
cana-5074	156	58	gann	gann	PROPN
cana-5074	156	59	)	)	PUNCT
cana-5074	156	60	1	1	NUM
cana-5074	156	61	0.44	0.44	NUM
cana-5074	156	62	14	14	NUM
cana-5074	156	63	category	category	NOUN
cana-5074	156	64	attention	attention	NOUN
cana-5074	156	65	network	network	NOUN
cana-5074	156	66	(	(	PUNCT
cana-5074	156	67	can	can	PROPN
cana-5074	156	68	)	)	PUNCT
cana-5074	156	69	1	1	NUM
cana-5074	156	70	0.44	0.44	NUM
cana-5074	156	71	15	15	NUM
cana-5074	156	72	recurrent	recurrent	NOUN
cana-5074	156	73	memory	memory	NOUN
cana-5074	156	74	neural	neural	ADJ
cana-5074	156	75	network	network	NOUN
cana-5074	156	76	(	(	PUNCT
cana-5074	156	77	rememnn	rememnn	ADJ
cana-5074	156	78	)	)	PUNCT
cana-5074	156	79	1	1	NUM
cana-5074	156	80	0.44	0.44	NUM
cana-5074	156	81	16	16	NUM
cana-5074	156	82	interactive	interactive	ADJ
cana-5074	156	83	rule	rule	NOUN
cana-5074	156	84	attention	attention	NOUN
cana-5074	156	85	network	network	NOUN
cana-5074	156	86	(	(	PUNCT
cana-5074	156	87	iran	iran	PROPN
cana-5074	156	88	)	)	PUNCT
cana-5074	156	89	1	1	NUM
cana-5074	156	90	0.44	0.44	NUM
cana-5074	156	91	17	17	NUM
cana-5074	156	92	self	self	NOUN
cana-5074	156	93	-	-	PUNCT
cana-5074	156	94	attention	attention	NOUN
cana-5074	156	95	based	base	VERB
cana-5074	156	96	hierarchical	hierarchical	ADJ
cana-5074	156	97	dilated	dilated	ADJ
cana-5074	156	98	convolutional	convolutional	ADJ
cana-5074	156	99	neural	neural	ADJ
cana-5074	156	100	1	1	NUM
cana-5074	156	101	0.44	0.44	NUM
cana-5074	156	102	communications	communication	NOUN
cana-5074	156	103	on	on	ADP
cana-5074	156	104	applied	apply	VERB
cana-5074	156	105	nonlinear	nonlinear	ADJ
cana-5074	156	106	analysis	analysis	NOUN
cana-5074	156	107	issn	issn	NOUN
cana-5074	156	108	:	:	PUNCT
cana-5074	156	109	1074	1074	NUM
cana-5074	156	110	-	-	PUNCT
cana-5074	156	111	133x	133x	NUM
cana-5074	156	112	vol	vol	NOUN
cana-5074	156	113	32	32	NUM
cana-5074	156	114	no	no	NOUN
cana-5074	156	115	.	.	PUNCT
cana-5074	157	1	icmasd	icmasd	NOUN
cana-5074	157	2	(	(	PUNCT
cana-5074	157	3	2025	2025	NUM
cana-5074	157	4	)	)	PUNCT
cana-5074	157	5	469	469	NUM
cana-5074	157	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5074	157	7	5	5	NUM
cana-5074	157	8	.	.	PUNCT
cana-5074	157	9	explanation	explanation	NOUN
cana-5074	157	10	of	of	ADP
cana-5074	157	11	research	research	NOUN
cana-5074	157	12	questions	question	NOUN
cana-5074	157	13	rq1	rq1	VERB
cana-5074	157	14	:	:	PUNCT
cana-5074	157	15	what	what	PRON
cana-5074	157	16	are	be	AUX
cana-5074	157	17	the	the	DET
cana-5074	157	18	various	various	ADJ
cana-5074	157	19	approaches	approach	NOUN
cana-5074	157	20	that	that	PRON
cana-5074	157	21	should	should	AUX
cana-5074	157	22	be	be	AUX
cana-5074	157	23	considered	consider	VERB
cana-5074	157	24	in	in	ADP
cana-5074	157	25	sentiment	sentiment	NOUN
cana-5074	157	26	analysis	analysis	NOUN
cana-5074	157	27	?	?	PUNCT
cana-5074	158	1	a	a	DET
cana-5074	158	2	review	review	NOUN
cana-5074	158	3	of	of	ADP
cana-5074	158	4	selected	select	VERB
cana-5074	158	5	papers	paper	NOUN
cana-5074	158	6	indicates	indicate	VERB
cana-5074	158	7	that	that	SCONJ
cana-5074	158	8	sentiment	sentiment	NOUN
cana-5074	158	9	analysis	analysis	NOUN
cana-5074	158	10	implementations	implementation	NOUN
cana-5074	158	11	typically	typically	ADV
cana-5074	158	12	fall	fall	VERB
cana-5074	158	13	into	into	ADP
cana-5074	158	14	three	three	NUM
cana-5074	158	15	main	main	ADJ
cana-5074	158	16	categories	category	NOUN
cana-5074	158	17	:	:	PUNCT
cana-5074	158	18	machine	machine	NOUN
cana-5074	158	19	learning	learning	NOUN
cana-5074	158	20	-	-	PUNCT
cana-5074	158	21	based	base	VERB
cana-5074	158	22	approaches	approach	NOUN
cana-5074	158	23	(	(	PUNCT
cana-5074	158	24	encompassing	encompass	VERB
cana-5074	158	25	deep	deep	ADJ
cana-5074	158	26	learning	learning	NOUN
cana-5074	158	27	,	,	PUNCT
cana-5074	158	28	unsupervised	unsupervised	ADJ
cana-5074	158	29	learning	learning	NOUN
cana-5074	158	30	,	,	PUNCT
cana-5074	158	31	and	and	CCONJ
cana-5074	158	32	ensemble	ensemble	ADJ
cana-5074	158	33	methods	method	NOUN
cana-5074	158	34	)	)	PUNCT
cana-5074	158	35	,	,	PUNCT
cana-5074	158	36	lexicon	lexicon	NOUN
cana-5074	158	37	-	-	PUNCT
cana-5074	158	38	based	base	VERB
cana-5074	158	39	approaches	approach	NOUN
cana-5074	158	40	,	,	PUNCT
cana-5074	158	41	and	and	CCONJ
cana-5074	158	42	hybrid	hybrid	ADJ
cana-5074	158	43	methodologies	methodology	NOUN
cana-5074	158	44	that	that	PRON
cana-5074	158	45	combine	combine	VERB
cana-5074	158	46	multiple	multiple	ADJ
cana-5074	158	47	techniques	technique	NOUN
cana-5074	158	48	.	.	PUNCT
cana-5074	159	1	the	the	DET
cana-5074	159	2	presence	presence	NOUN
cana-5074	159	3	of	of	ADP
cana-5074	159	4	checkmarks	checkmark	NOUN
cana-5074	159	5	in	in	ADP
cana-5074	159	6	the	the	DET
cana-5074	159	7	literature	literature	NOUN
cana-5074	159	8	signifies	signify	VERB
cana-5074	159	9	that	that	SCONJ
cana-5074	159	10	these	these	DET
cana-5074	159	11	approaches	approach	NOUN
cana-5074	159	12	were	be	AUX
cana-5074	159	13	explicitly	explicitly	ADV
cana-5074	159	14	examined	examine	VERB
cana-5074	159	15	and	and	CCONJ
cana-5074	159	16	discussed	discuss	VERB
cana-5074	159	17	within	within	ADP
cana-5074	159	18	the	the	DET
cana-5074	159	19	corresponding	corresponding	ADJ
cana-5074	159	20	research	research	NOUN
cana-5074	159	21	papers	paper	NOUN
cana-5074	159	22	.	.	PUNCT
cana-5074	160	1	ensemble	ensemble	ADJ
cana-5074	160	2	classification	classification	NOUN
cana-5074	160	3	represents	represent	VERB
cana-5074	160	4	a	a	DET
cana-5074	160	5	methodology	methodology	NOUN
cana-5074	160	6	where	where	SCONJ
cana-5074	160	7	multiple	multiple	ADJ
cana-5074	160	8	learning	learning	NOUN
cana-5074	160	9	algorithms	algorithm	NOUN
cana-5074	160	10	are	be	AUX
cana-5074	160	11	combined	combine	VERB
cana-5074	160	12	to	to	PART
cana-5074	160	13	achieve	achieve	VERB
cana-5074	160	14	enhanced	enhanced	ADJ
cana-5074	160	15	performance	performance	NOUN
cana-5074	160	16	metrics	metric	NOUN
cana-5074	160	17	,	,	PUNCT
cana-5074	160	18	as	as	SCONJ
cana-5074	160	19	documented	document	VERB
cana-5074	160	20	by	by	ADP
cana-5074	160	21	behera	behera	PROPN
cana-5074	160	22	et	et	PROPN
cana-5074	160	23	al	al	PROPN
cana-5074	160	24	.	.	PROPN
cana-5074	161	1	(	(	PUNCT
cana-5074	161	2	2016	2016	NUM
cana-5074	161	3	)	)	PUNCT
cana-5074	161	4	.	.	PUNCT
cana-5074	162	1	the	the	DET
cana-5074	162	2	approach	approach	NOUN
cana-5074	162	3	encompasses	encompass	VERB
cana-5074	162	4	three	three	NUM
cana-5074	162	5	primary	primary	ADJ
cana-5074	162	6	ensemble	ensemble	ADJ
cana-5074	162	7	methodologies	methodology	NOUN
cana-5074	162	8	:	:	PUNCT
cana-5074	162	9	bagging	bagging	NOUN
cana-5074	162	10	(	(	PUNCT
cana-5074	162	11	bootstrap	bootstrap	NOUN
cana-5074	162	12	aggregating	aggregating	NOUN
cana-5074	162	13	)	)	PUNCT
cana-5074	162	14	,	,	PUNCT
cana-5074	162	15	boosting	boost	VERB
cana-5074	162	16	,	,	PUNCT
cana-5074	162	17	and	and	CCONJ
cana-5074	162	18	stacking	stacking	NOUN
cana-5074	162	19	.	.	PUNCT
cana-5074	163	1	in	in	ADP
cana-5074	163	2	bagging	bagging	NOUN
cana-5074	163	3	implementations	implementation	NOUN
cana-5074	163	4	,	,	PUNCT
cana-5074	163	5	homogeneous	homogeneous	ADJ
cana-5074	163	6	algorithms	algorithm	NOUN
cana-5074	163	7	are	be	AUX
cana-5074	163	8	trained	train	VERB
cana-5074	163	9	independently	independently	ADV
cana-5074	163	10	using	use	VERB
cana-5074	163	11	randomly	randomly	ADV
cana-5074	163	12	sampled	sample	VERB
cana-5074	163	13	training	training	NOUN
cana-5074	163	14	data	datum	NOUN
cana-5074	163	15	points	point	NOUN
cana-5074	163	16	,	,	PUNCT
cana-5074	163	17	followed	follow	VERB
cana-5074	163	18	by	by	ADP
cana-5074	163	19	a	a	DET
cana-5074	163	20	deterministic	deterministic	ADJ
cana-5074	163	21	averaging	averaging	NOUN
cana-5074	163	22	procedure	procedure	NOUN
cana-5074	163	23	.	.	PUNCT
cana-5074	164	1	conversely	conversely	ADV
cana-5074	164	2	,	,	PUNCT
cana-5074	164	3	boosting	boost	VERB
cana-5074	164	4	employs	employ	VERB
cana-5074	164	5	a	a	DET
cana-5074	164	6	sequential	sequential	ADJ
cana-5074	164	7	and	and	CCONJ
cana-5074	164	8	adaptive	adaptive	ADJ
cana-5074	164	9	learning	learning	NOUN
cana-5074	164	10	process	process	NOUN
cana-5074	164	11	for	for	ADP
cana-5074	164	12	homogeneous	homogeneous	ADJ
cana-5074	164	13	algorithms	algorithm	NOUN
cana-5074	164	14	before	before	ADP
cana-5074	164	15	implementing	implement	VERB
cana-5074	164	16	an	an	DET
cana-5074	164	17	averaging	averaging	NOUN
cana-5074	164	18	mechanism	mechanism	NOUN
cana-5074	164	19	.	.	PUNCT
cana-5074	165	1	rq2	rq2	NOUN
cana-5074	165	2	:	:	PUNCT
cana-5074	165	3	what	what	PRON
cana-5074	165	4	domains	domain	NOUN
cana-5074	165	5	have	have	AUX
cana-5074	165	6	been	be	AUX
cana-5074	165	7	addressed	address	VERB
cana-5074	165	8	in	in	ADP
cana-5074	165	9	the	the	DET
cana-5074	165	10	adopted	adopt	VERB
cana-5074	165	11	datasets	dataset	NOUN
cana-5074	165	12	?	?	PUNCT
cana-5074	166	1	sentiment	sentiment	NOUN
cana-5074	166	2	analysis	analysis	NOUN
cana-5074	166	3	datasets	dataset	NOUN
cana-5074	166	4	are	be	AUX
cana-5074	166	5	predominantly	predominantly	ADV
cana-5074	166	6	composed	compose	VERB
cana-5074	166	7	of	of	ADP
cana-5074	166	8	user	user	NOUN
cana-5074	166	9	-	-	PUNCT
cana-5074	166	10	generated	generate	VERB
cana-5074	166	11	textual	textual	ADJ
cana-5074	166	12	content	content	NOUN
cana-5074	166	13	,	,	PUNCT
cana-5074	166	14	with	with	ADP
cana-5074	166	15	significant	significant	ADJ
cana-5074	166	16	variations	variation	NOUN
cana-5074	166	17	in	in	ADP
cana-5074	166	18	linguistic	linguistic	ADJ
cana-5074	166	19	patterns	pattern	NOUN
cana-5074	166	20	and	and	CCONJ
cana-5074	166	21	characteristics	characteristic	NOUN
cana-5074	166	22	across	across	ADP
cana-5074	166	23	different	different	ADJ
cana-5074	166	24	domains	domain	NOUN
cana-5074	166	25	and	and	CCONJ
cana-5074	166	26	platforms	platform	NOUN
cana-5074	166	27	.	.	PUNCT
cana-5074	167	1	the	the	DET
cana-5074	167	2	textual	textual	ADJ
cana-5074	167	3	content	content	NOUN
cana-5074	167	4	exhibits	exhibit	VERB
cana-5074	167	5	distinct	distinct	ADJ
cana-5074	167	6	properties	property	NOUN
cana-5074	167	7	depending	depend	VERB
cana-5074	167	8	on	on	ADP
cana-5074	167	9	its	its	PRON
cana-5074	167	10	source	source	NOUN
cana-5074	167	11	:	:	PUNCT
cana-5074	167	12	social	social	ADJ
cana-5074	167	13	media	medium	NOUN
cana-5074	167	14	data	datum	NOUN
cana-5074	167	15	typically	typically	ADV
cana-5074	167	16	contains	contain	VERB
cana-5074	167	17	subjective	subjective	ADJ
cana-5074	167	18	content	content	NOUN
cana-5074	167	19	and	and	CCONJ
cana-5074	167	20	informal	informal	ADJ
cana-5074	167	21	language	language	NOUN
cana-5074	167	22	,	,	PUNCT
cana-5074	167	23	while	while	SCONJ
cana-5074	167	24	news	news	NOUN
cana-5074	167	25	articles	article	NOUN
cana-5074	167	26	maintain	maintain	VERB
cana-5074	167	27	objectivity	objectivity	NOUN
cana-5074	167	28	and	and	CCONJ
cana-5074	167	29	formal	formal	ADJ
cana-5074	167	30	writing	writing	NOUN
cana-5074	167	31	structures	structure	NOUN
cana-5074	167	32	.	.	PUNCT
cana-5074	168	1	platform	platform	NOUN
cana-5074	168	2	-	-	PUNCT
cana-5074	168	3	specific	specific	ADJ
cana-5074	168	4	constraints	constraint	NOUN
cana-5074	168	5	further	far	ADV
cana-5074	168	6	differentiate	differentiate	VERB
cana-5074	168	7	the	the	DET
cana-5074	168	8	content	content	NOUN
cana-5074	168	9	twitter	twitter	NOUN
cana-5074	168	10	posts	post	NOUN
cana-5074	168	11	are	be	AUX
cana-5074	168	12	restricted	restrict	VERB
cana-5074	168	13	by	by	ADP
cana-5074	168	14	character	character	NOUN
cana-5074	168	15	limits	limit	NOUN
cana-5074	168	16	and	and	CCONJ
cana-5074	168	17	include	include	VERB
cana-5074	168	18	platform	platform	NOUN
cana-5074	168	19	-	-	PUNCT
cana-5074	168	20	specific	specific	ADJ
cana-5074	168	21	elements	element	NOUN
cana-5074	168	22	like	like	ADP
cana-5074	168	23	hashtags	hashtag	NOUN
cana-5074	168	24	and	and	CCONJ
cana-5074	168	25	references	reference	NOUN
cana-5074	168	26	,	,	PUNCT
cana-5074	168	27	whereas	whereas	SCONJ
cana-5074	168	28	product	product	NOUN
cana-5074	168	29	review	review	NOUN
cana-5074	168	30	platforms	platform	NOUN
cana-5074	168	31	facilitate	facilitate	VERB
cana-5074	168	32	detailed	detailed	ADJ
cana-5074	168	33	,	,	PUNCT
cana-5074	168	34	product	product	NOUN
cana-5074	168	35	-	-	PUNCT
cana-5074	168	36	focused	focus	VERB
cana-5074	168	37	descriptions	description	NOUN
cana-5074	168	38	.	.	PUNCT
cana-5074	169	1	a	a	DET
cana-5074	169	2	critical	critical	ADJ
cana-5074	169	3	challenge	challenge	NOUN
cana-5074	169	4	in	in	ADP
cana-5074	169	5	this	this	DET
cana-5074	169	6	field	field	NOUN
cana-5074	169	7	is	be	AUX
cana-5074	169	8	that	that	SCONJ
cana-5074	169	9	machine	machine	NOUN
cana-5074	169	10	learning	learning	NOUN
cana-5074	169	11	models	model	NOUN
cana-5074	169	12	trained	train	VERB
cana-5074	169	13	on	on	ADP
cana-5074	169	14	one	one	NUM
cana-5074	169	15	domain	domain	NOUN
cana-5074	169	16	typically	typically	ADV
cana-5074	169	17	demonstrate	demonstrate	VERB
cana-5074	169	18	poor	poor	ADJ
cana-5074	169	19	performance	performance	NOUN
cana-5074	169	20	when	when	SCONJ
cana-5074	169	21	applied	apply	VERB
cana-5074	169	22	to	to	ADP
cana-5074	169	23	different	different	ADJ
cana-5074	169	24	domains	domain	NOUN
cana-5074	169	25	,	,	PUNCT
cana-5074	169	26	as	as	SCONJ
cana-5074	169	27	each	each	DET
cana-5074	169	28	domain	domain	NOUN
cana-5074	169	29	employs	employ	VERB
cana-5074	169	30	unique	unique	ADJ
cana-5074	169	31	language	language	NOUN
cana-5074	169	32	patterns	pattern	NOUN
cana-5074	169	33	and	and	CCONJ
cana-5074	169	34	requires	require	VERB
cana-5074	169	35	specialized	specialized	ADJ
cana-5074	169	36	analytical	analytical	ADJ
cana-5074	169	37	approaches	approach	NOUN
cana-5074	169	38	.	.	PUNCT
cana-5074	170	1	this	this	DET
cana-5074	170	2	domain	domain	NOUN
cana-5074	170	3	dependency	dependency	NOUN
cana-5074	170	4	underscores	underscore	VERB
cana-5074	170	5	the	the	DET
cana-5074	170	6	necessity	necessity	NOUN
cana-5074	170	7	for	for	ADP
cana-5074	170	8	tailored	tailor	VERB
cana-5074	170	9	methodological	methodological	ADJ
cana-5074	170	10	approaches	approach	NOUN
cana-5074	170	11	in	in	ADP
cana-5074	170	12	sentiment	sentiment	NOUN
cana-5074	170	13	analysis	analysis	NOUN
cana-5074	170	14	across	across	ADP
cana-5074	170	15	different	different	ADJ
cana-5074	170	16	content	content	NOUN
cana-5074	170	17	types	type	NOUN
cana-5074	170	18	.	.	PUNCT
cana-5074	171	1	6	6	NUM
cana-5074	171	2	.	.	X
cana-5074	171	3	discussion	discussion	NOUN
cana-5074	171	4	this	this	DET
cana-5074	171	5	study	study	NOUN
cana-5074	171	6	presents	present	VERB
cana-5074	171	7	a	a	DET
cana-5074	171	8	comprehensive	comprehensive	ADJ
cana-5074	171	9	overview	overview	NOUN
cana-5074	171	10	of	of	ADP
cana-5074	171	11	machine	machine	NOUN
cana-5074	171	12	learning	learning	NOUN
cana-5074	171	13	models	model	NOUN
cana-5074	171	14	'	'	PART
cana-5074	171	15	current	current	ADJ
cana-5074	171	16	applications	application	NOUN
cana-5074	171	17	and	and	CCONJ
cana-5074	171	18	challenges	challenge	NOUN
cana-5074	171	19	in	in	ADP
cana-5074	171	20	sentiment	sentiment	NOUN
cana-5074	171	21	analysis	analysis	NOUN
cana-5074	171	22	.	.	PUNCT
cana-5074	172	1	the	the	DET
cana-5074	172	2	research	research	NOUN
cana-5074	172	3	methodology	methodology	NOUN
cana-5074	172	4	follows	follow	VERB
cana-5074	172	5	the	the	DET
cana-5074	172	6	systematic	systematic	ADJ
cana-5074	172	7	literature	literature	NOUN
cana-5074	172	8	review	review	NOUN
cana-5074	172	9	guidelines	guideline	NOUN
cana-5074	172	10	established	establish	VERB
cana-5074	172	11	by	by	ADP
cana-5074	172	12	kitchenham	kitchenham	PROPN
cana-5074	172	13	and	and	CCONJ
cana-5074	172	14	charters	charter	NOUN
cana-5074	172	15	(	(	PUNCT
cana-5074	172	16	2007	2007	NUM
cana-5074	172	17	)	)	PUNCT
cana-5074	172	18	,	,	PUNCT
cana-5074	172	19	critically	critically	ADV
cana-5074	172	20	analyzing	analyze	VERB
cana-5074	172	21	selected	select	VERB
cana-5074	172	22	secondary	secondary	ADJ
cana-5074	172	23	studies	study	NOUN
cana-5074	172	24	and	and	CCONJ
cana-5074	172	25	extracting	extract	VERB
cana-5074	172	26	relevant	relevant	ADJ
cana-5074	172	27	data	datum	NOUN
cana-5074	172	28	based	base	VERB
cana-5074	172	29	on	on	ADP
cana-5074	172	30	predefined	predefine	VERB
cana-5074	172	31	research	research	NOUN
cana-5074	172	32	questions	question	NOUN
cana-5074	172	33	.	.	PUNCT
cana-5074	173	1	initially	initially	ADV
cana-5074	173	2	,	,	PUNCT
cana-5074	173	3	16	16	NUM
cana-5074	173	4	secondary	secondary	ADJ
cana-5074	173	5	network	network	NOUN
cana-5074	173	6	(	(	PUNCT
cana-5074	173	7	sahdcnn	sahdcnn	PROPN
cana-5074	173	8	)	)	PUNCT
cana-5074	173	9	18	18	NUM
cana-5074	173	10	fusion	fusion	NOUN
cana-5074	173	11	-	-	PUNCT
cana-5074	173	12	extraction	extraction	NOUN
cana-5074	173	13	network	network	NOUN
cana-5074	173	14	(	(	PUNCT
cana-5074	173	15	fenet	fenet	NOUN
cana-5074	173	16	)	)	PUNCT
cana-5074	173	17	1	1	NUM
cana-5074	173	18	0.44	0.44	NUM
cana-5074	173	19	19	19	NUM
cana-5074	173	20	deep	deep	ADJ
cana-5074	173	21	q	q	NOUN
cana-5074	173	22	-	-	NOUN
cana-5074	173	23	network	network	NOUN
cana-5074	173	24	1	1	NUM
cana-5074	173	25	0.44	0.44	NUM
cana-5074	173	26	20	20	NUM
cana-5074	173	27	autoencoder	autoencoder	NOUN
cana-5074	173	28	1	1	NUM
cana-5074	173	29	0.44	0.44	NUM
cana-5074	173	30	communications	communication	NOUN
cana-5074	173	31	on	on	ADP
cana-5074	173	32	applied	apply	VERB
cana-5074	173	33	nonlinear	nonlinear	ADJ
cana-5074	173	34	analysis	analysis	NOUN
cana-5074	173	35	issn	issn	NOUN
cana-5074	173	36	:	:	PUNCT
cana-5074	173	37	1074	1074	NUM
cana-5074	173	38	-	-	PUNCT
cana-5074	173	39	133x	133x	NUM
cana-5074	173	40	vol	vol	NOUN
cana-5074	173	41	32	32	NUM
cana-5074	173	42	no	no	NOUN
cana-5074	173	43	.	.	PUNCT
cana-5074	174	1	icmasd	icmasd	NOUN
cana-5074	174	2	(	(	PUNCT
cana-5074	174	3	2025	2025	NUM
cana-5074	174	4	)	)	PUNCT
cana-5074	174	5	470	470	NUM
cana-5074	175	1	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-5074	175	2	studies	study	NOUN
cana-5074	175	3	were	be	AUX
cana-5074	175	4	selected	select	VERB
cana-5074	175	5	,	,	PUNCT
cana-5074	175	6	though	though	SCONJ
cana-5074	175	7	this	this	DET
cana-5074	175	8	number	number	NOUN
cana-5074	175	9	was	be	AUX
cana-5074	175	10	reduced	reduce	VERB
cana-5074	175	11	to	to	ADP
cana-5074	175	12	14	14	NUM
cana-5074	175	13	following	follow	VERB
cana-5074	175	14	a	a	DET
cana-5074	175	15	quality	quality	NOUN
cana-5074	175	16	assessment	assessment	NOUN
cana-5074	175	17	phase	phase	NOUN
cana-5074	175	18	.	.	PUNCT
cana-5074	176	1	the	the	DET
cana-5074	176	2	methodology	methodology	NOUN
cana-5074	176	3	was	be	AUX
cana-5074	176	4	deliberately	deliberately	ADV
cana-5074	176	5	designed	design	VERB
cana-5074	176	6	to	to	PART
cana-5074	176	7	be	be	AUX
cana-5074	176	8	transparent	transparent	ADJ
cana-5074	176	9	and	and	CCONJ
cana-5074	176	10	reproducible	reproducible	ADJ
cana-5074	176	11	by	by	ADP
cana-5074	176	12	other	other	ADJ
cana-5074	176	13	researchers	researcher	NOUN
cana-5074	176	14	,	,	PUNCT
cana-5074	176	15	though	though	SCONJ
cana-5074	176	16	like	like	INTJ
cana-5074	176	17	any	any	DET
cana-5074	176	18	secondary	secondary	ADJ
cana-5074	176	19	study	study	NOUN
cana-5074	176	20	,	,	PUNCT
cana-5074	176	21	it	it	PRON
cana-5074	176	22	acknowledges	acknowledge	VERB
cana-5074	176	23	certain	certain	ADJ
cana-5074	176	24	limitations	limitation	NOUN
cana-5074	176	25	.	.	PUNCT
cana-5074	177	1	the	the	DET
cana-5074	177	2	systematic	systematic	ADJ
cana-5074	177	3	literature	literature	NOUN
cana-5074	177	4	reviews	review	NOUN
cana-5074	177	5	(	(	PUNCT
cana-5074	177	6	slrs	slrs	ADJ
cana-5074	177	7	)	)	PUNCT
cana-5074	177	8	included	include	VERB
cana-5074	177	9	in	in	ADP
cana-5074	177	10	this	this	DET
cana-5074	177	11	study	study	NOUN
cana-5074	177	12	each	each	PRON
cana-5074	177	13	maintain	maintain	VERB
cana-5074	177	14	their	their	PRON
cana-5074	177	15	specific	specific	ADJ
cana-5074	177	16	research	research	NOUN
cana-5074	177	17	focus	focus	NOUN
cana-5074	177	18	within	within	ADP
cana-5074	177	19	sentiment	sentiment	NOUN
cana-5074	177	20	analysis	analysis	NOUN
cana-5074	177	21	.	.	PUNCT
cana-5074	178	1	despite	despite	SCONJ
cana-5074	178	2	similarities	similarity	NOUN
cana-5074	178	3	in	in	ADP
cana-5074	178	4	methodological	methodological	ADJ
cana-5074	178	5	approaches	approach	NOUN
cana-5074	178	6	across	across	ADP
cana-5074	178	7	the	the	DET
cana-5074	178	8	14	14	NUM
cana-5074	178	9	secondary	secondary	ADJ
cana-5074	178	10	studies	study	NOUN
cana-5074	178	11	,	,	PUNCT
cana-5074	178	12	there	there	PRON
cana-5074	178	13	were	be	VERB
cana-5074	178	14	significant	significant	ADJ
cana-5074	178	15	variations	variation	NOUN
cana-5074	178	16	in	in	ADP
cana-5074	178	17	how	how	SCONJ
cana-5074	178	18	techniques	technique	NOUN
cana-5074	178	19	and	and	CCONJ
cana-5074	178	20	methods	method	NOUN
cana-5074	178	21	were	be	AUX
cana-5074	178	22	documented	document	VERB
cana-5074	178	23	.	.	PUNCT
cana-5074	179	1	furthermore	furthermore	ADV
cana-5074	179	2	,	,	PUNCT
cana-5074	179	3	the	the	DET
cana-5074	179	4	comprehensiveness	comprehensiveness	NOUN
cana-5074	179	5	of	of	ADP
cana-5074	179	6	the	the	DET
cana-5074	179	7	slr	slr	NOUN
cana-5074	179	8	papers	paper	NOUN
cana-5074	179	9	varied	vary	VERB
cana-5074	179	10	considerably	considerably	ADV
cana-5074	179	11	,	,	PUNCT
cana-5074	179	12	with	with	ADP
cana-5074	179	13	some	some	PRON
cana-5074	179	14	providing	provide	VERB
cana-5074	179	15	more	more	ADV
cana-5074	179	16	detailed	detailed	ADJ
cana-5074	179	17	analysis	analysis	NOUN
cana-5074	179	18	than	than	ADP
cana-5074	179	19	others	other	NOUN
cana-5074	179	20	.	.	PUNCT
cana-5074	180	1	these	these	DET
cana-5074	180	2	inconsistencies	inconsistency	NOUN
cana-5074	180	3	in	in	ADP
cana-5074	180	4	documentation	documentation	NOUN
cana-5074	180	5	and	and	CCONJ
cana-5074	180	6	depth	depth	NOUN
cana-5074	180	7	made	make	VERB
cana-5074	180	8	the	the	DET
cana-5074	180	9	data	datum	NOUN
cana-5074	180	10	extraction	extraction	NOUN
cana-5074	180	11	process	process	NOUN
cana-5074	180	12	more	more	ADV
cana-5074	180	13	challenging	challenging	ADJ
cana-5074	180	14	and	and	CCONJ
cana-5074	180	15	potentially	potentially	ADV
cana-5074	180	16	susceptible	susceptible	ADJ
cana-5074	180	17	to	to	ADP
cana-5074	180	18	errors	error	NOUN
cana-5074	180	19	.	.	PUNCT
cana-5074	181	1	7	7	X
cana-5074	181	2	.	.	X
cana-5074	181	3	conclusion	conclusion	NOUN
cana-5074	181	4	and	and	CCONJ
cana-5074	181	5	future	future	ADJ
cana-5074	181	6	scope	scope	NOUN
cana-5074	181	7	this	this	DET
cana-5074	181	8	tertiary	tertiary	ADJ
cana-5074	181	9	study	study	NOUN
cana-5074	181	10	examines	examine	VERB
cana-5074	181	11	sentiment	sentiment	NOUN
cana-5074	181	12	analysis	analysis	NOUN
cana-5074	181	13	methods	method	NOUN
cana-5074	181	14	,	,	PUNCT
cana-5074	181	15	focusing	focus	VERB
cana-5074	181	16	on	on	ADP
cana-5074	181	17	identifying	identify	VERB
cana-5074	181	18	adopted	adopt	VERB
cana-5074	181	19	features	feature	NOUN
cana-5074	181	20	(	(	PUNCT
cana-5074	181	21	input	input	NOUN
cana-5074	181	22	/	/	SYM
cana-5074	181	23	output	output	NOUN
cana-5074	181	24	)	)	PUNCT
cana-5074	181	25	,	,	PUNCT
cana-5074	181	26	approaches	approach	NOUN
cana-5074	181	27	,	,	PUNCT
cana-5074	181	28	datasets	dataset	NOUN
cana-5074	181	29	,	,	PUNCT
cana-5074	181	30	and	and	CCONJ
cana-5074	181	31	associated	associated	ADJ
cana-5074	181	32	challenges	challenge	NOUN
cana-5074	181	33	.	.	PUNCT
cana-5074	182	1	the	the	DET
cana-5074	182	2	findings	finding	NOUN
cana-5074	182	3	were	be	AUX
cana-5074	182	4	derived	derive	VERB
cana-5074	182	5	from	from	ADP
cana-5074	182	6	a	a	DET
cana-5074	182	7	comprehensive	comprehensive	ADJ
cana-5074	182	8	analysis	analysis	NOUN
cana-5074	182	9	of	of	ADP
cana-5074	182	10	secondary	secondary	ADJ
cana-5074	182	11	studies	study	NOUN
cana-5074	182	12	.	.	PUNCT
cana-5074	183	1	the	the	DET
cana-5074	183	2	research	research	NOUN
cana-5074	183	3	revealed	reveal	VERB
cana-5074	183	4	varying	vary	VERB
cana-5074	183	5	numbers	number	NOUN
cana-5074	183	6	of	of	ADP
cana-5074	183	7	input	input	NOUN
cana-5074	183	8	and	and	CCONJ
cana-5074	183	9	output	output	NOUN
cana-5074	183	10	features	feature	NOUN
cana-5074	183	11	,	,	PUNCT
cana-5074	183	12	with	with	ADP
cana-5074	183	13	some	some	DET
cana-5074	183	14	features	feature	NOUN
cana-5074	183	15	appearing	appear	VERB
cana-5074	183	16	consistently	consistently	ADV
cana-5074	183	17	across	across	ADP
cana-5074	183	18	all	all	DET
cana-5074	183	19	secondary	secondary	ADJ
cana-5074	183	20	studies	study	NOUN
cana-5074	183	21	while	while	SCONJ
cana-5074	183	22	others	other	NOUN
cana-5074	183	23	were	be	AUX
cana-5074	183	24	specific	specific	ADJ
cana-5074	183	25	to	to	ADP
cana-5074	183	26	particular	particular	ADJ
cana-5074	183	27	studies	study	NOUN
cana-5074	183	28	.	.	PUNCT
cana-5074	184	1	a	a	DET
cana-5074	184	2	notable	notable	ADJ
cana-5074	184	3	finding	finding	NOUN
cana-5074	184	4	was	be	AUX
cana-5074	184	5	the	the	DET
cana-5074	184	6	prevalence	prevalence	NOUN
cana-5074	184	7	of	of	ADP
cana-5074	184	8	sentiment	sentiment	NOUN
cana-5074	184	9	analysis	analysis	NOUN
cana-5074	184	10	applications	application	NOUN
cana-5074	184	11	in	in	ADP
cana-5074	184	12	social	social	ADJ
cana-5074	184	13	media	medium	NOUN
cana-5074	184	14	compared	compare	VERB
cana-5074	184	15	to	to	ADP
cana-5074	184	16	other	other	ADJ
cana-5074	184	17	domains	domain	NOUN
cana-5074	184	18	,	,	PUNCT
cana-5074	184	19	with	with	ADP
cana-5074	184	20	evidence	evidence	NOUN
cana-5074	184	21	suggesting	suggest	VERB
cana-5074	184	22	that	that	SCONJ
cana-5074	184	23	different	different	ADJ
cana-5074	184	24	domains	domain	NOUN
cana-5074	184	25	require	require	VERB
cana-5074	184	26	distinct	distinct	ADJ
cana-5074	184	27	analytical	analytical	ADJ
cana-5074	184	28	techniques	technique	NOUN
cana-5074	184	29	.	.	PUNCT
cana-5074	185	1	the	the	DET
cana-5074	185	2	research	research	NOUN
cana-5074	185	3	identified	identify	VERB
cana-5074	185	4	an	an	DET
cana-5074	185	5	emerging	emerge	VERB
cana-5074	185	6	trend	trend	NOUN
cana-5074	185	7	toward	toward	ADP
cana-5074	185	8	deep	deep	ADJ
cana-5074	185	9	learning	learning	NOUN
cana-5074	185	10	techniques	technique	NOUN
cana-5074	185	11	,	,	PUNCT
cana-5074	185	12	which	which	PRON
cana-5074	185	13	excel	excel	VERB
cana-5074	185	14	at	at	ADP
cana-5074	185	15	detecting	detect	VERB
cana-5074	185	16	complex	complex	ADJ
cana-5074	185	17	patterns	pattern	NOUN
cana-5074	185	18	in	in	ADP
cana-5074	185	19	text	text	NOUN
cana-5074	185	20	and	and	CCONJ
cana-5074	185	21	perform	perform	VERB
cana-5074	185	22	particularly	particularly	ADV
cana-5074	185	23	well	well	ADV
cana-5074	185	24	with	with	ADP
cana-5074	185	25	larger	large	ADJ
cana-5074	185	26	datasets	dataset	NOUN
cana-5074	185	27	.	.	PUNCT
cana-5074	186	1	in	in	ADP
cana-5074	186	2	specific	specific	ADJ
cana-5074	186	3	applications	application	NOUN
cana-5074	186	4	,	,	PUNCT
cana-5074	186	5	such	such	ADJ
cana-5074	186	6	as	as	ADP
cana-5074	186	7	advertising	advertising	NOUN
cana-5074	186	8	,	,	PUNCT
cana-5074	186	9	even	even	ADV
cana-5074	186	10	minor	minor	ADJ
cana-5074	186	11	performance	performance	NOUN
cana-5074	186	12	improvements	improvement	NOUN
cana-5074	186	13	achieved	achieve	VERB
cana-5074	186	14	through	through	ADP
cana-5074	186	15	deep	deep	ADJ
cana-5074	186	16	learning	learning	NOUN
cana-5074	186	17	can	can	AUX
cana-5074	186	18	have	have	VERB
cana-5074	186	19	a	a	DET
cana-5074	186	20	significant	significant	ADJ
cana-5074	186	21	impact	impact	NOUN
cana-5074	186	22	.	.	PUNCT
cana-5074	187	1	however	however	ADV
cana-5074	187	2	,	,	PUNCT
cana-5074	187	3	traditional	traditional	ADJ
cana-5074	187	4	machine	machine	NOUN
cana-5074	187	5	learning	learning	NOUN
cana-5074	187	6	models	model	NOUN
cana-5074	187	7	maintain	maintain	VERB
cana-5074	187	8	their	their	PRON
cana-5074	187	9	relevance	relevance	NOUN
cana-5074	187	10	due	due	ADP
cana-5074	187	11	to	to	ADP
cana-5074	187	12	their	their	PRON
cana-5074	187	13	lower	low	ADJ
cana-5074	187	14	computational	computational	ADJ
cana-5074	187	15	requirements	requirement	NOUN
cana-5074	187	16	and	and	CCONJ
cana-5074	187	17	satisfactory	satisfactory	ADJ
cana-5074	187	18	performance	performance	NOUN
cana-5074	187	19	in	in	ADP
cana-5074	187	20	sentiment	sentiment	NOUN
cana-5074	187	21	analysis	analysis	NOUN
cana-5074	187	22	tasks	task	NOUN
cana-5074	187	23	.	.	PUNCT
cana-5074	188	1	these	these	DET
cana-5074	188	2	conventional	conventional	ADJ
cana-5074	188	3	approaches	approach	NOUN
cana-5074	188	4	continue	continue	VERB
cana-5074	188	5	to	to	PART
cana-5074	188	6	receive	receive	VERB
cana-5074	188	7	widespread	widespread	ADJ
cana-5074	188	8	recognition	recognition	NOUN
cana-5074	188	9	for	for	ADP
cana-5074	188	10	their	their	PRON
cana-5074	188	11	efficiency	efficiency	NOUN
cana-5074	188	12	and	and	CCONJ
cana-5074	188	13	effectiveness	effectiveness	NOUN
cana-5074	188	14	.	.	PUNCT
cana-5074	189	1	the	the	DET
cana-5074	189	2	study	study	NOUN
cana-5074	189	3	highlights	highlight	NOUN
cana-5074	189	4	domain	domain	NOUN
cana-5074	189	5	and	and	CCONJ
cana-5074	189	6	language	language	NOUN
cana-5074	189	7	dependency	dependency	NOUN
cana-5074	189	8	as	as	ADP
cana-5074	189	9	the	the	DET
cana-5074	189	10	most	most	ADV
cana-5074	189	11	significant	significant	ADJ
cana-5074	189	12	challenges	challenge	NOUN
cana-5074	189	13	in	in	ADP
cana-5074	189	14	sentiment	sentiment	NOUN
cana-5074	189	15	analysis	analysis	NOUN
cana-5074	189	16	.	.	PUNCT
cana-5074	190	1	different	different	ADJ
cana-5074	190	2	domains	domain	NOUN
cana-5074	190	3	and	and	CCONJ
cana-5074	190	4	languages	language	NOUN
cana-5074	190	5	require	require	VERB
cana-5074	190	6	specific	specific	ADJ
cana-5074	190	7	text	text	NOUN
cana-5074	190	8	corpora	corpora	NOUN
cana-5074	190	9	for	for	ADP
cana-5074	190	10	effective	effective	ADJ
cana-5074	190	11	analysis	analysis	NOUN
cana-5074	190	12	.	.	PUNCT
cana-5074	191	1	while	while	SCONJ
cana-5074	191	2	attempts	attempt	NOUN
cana-5074	191	3	have	have	AUX
cana-5074	191	4	been	be	AUX
cana-5074	191	5	made	make	VERB
cana-5074	191	6	to	to	PART
cana-5074	191	7	develop	develop	VERB
cana-5074	191	8	cross	cross	ADJ
cana-5074	191	9	-	-	ADJ
cana-5074	191	10	domain	domain	ADJ
cana-5074	191	11	and	and	CCONJ
cana-5074	191	12	multi	multi	ADJ
cana-5074	191	13	-	-	ADJ
cana-5074	191	14	lingual	lingual	ADJ
cana-5074	191	15	sentiment	sentiment	NOUN
cana-5074	191	16	analysis	analysis	NOUN
cana-5074	191	17	models	model	NOUN
cana-5074	191	18	,	,	PUNCT
cana-5074	191	19	this	this	PRON
cana-5074	191	20	remains	remain	VERB
cana-5074	191	21	a	a	DET
cana-5074	191	22	challenging	challenging	ADJ
cana-5074	191	23	area	area	NOUN
cana-5074	191	24	requiring	require	VERB
cana-5074	191	25	further	further	ADJ
cana-5074	191	26	research	research	NOUN
cana-5074	191	27	.	.	PUNCT
cana-5074	192	1	additional	additional	ADJ
cana-5074	192	2	prominent	prominent	ADJ
cana-5074	192	3	challenges	challenge	NOUN
cana-5074	192	4	include	include	VERB
cana-5074	192	5	opinion	opinion	NOUN
cana-5074	192	6	spam	spam	NOUN
cana-5074	192	7	detection	detection	NOUN
cana-5074	192	8	and	and	CCONJ
cana-5074	192	9	the	the	DET
cana-5074	192	10	implementation	implementation	NOUN
cana-5074	192	11	of	of	ADP
cana-5074	192	12	deep	deep	ADJ
cana-5074	192	13	learning	learning	NOUN
cana-5074	192	14	in	in	ADP
cana-5074	192	15	sentiment	sentiment	NOUN
cana-5074	192	16	analysis	analysis	NOUN
cana-5074	192	17	tasks	task	NOUN
cana-5074	192	18	.	.	PUNCT
cana-5074	193	1	the	the	DET
cana-5074	193	2	findings	finding	NOUN
cana-5074	193	3	emphasize	emphasize	VERB
cana-5074	193	4	that	that	PRON
cana-5074	193	5	sentiment	sentiment	NOUN
cana-5074	193	6	analysis	analysis	NOUN
cana-5074	193	7	remains	remain	VERB
cana-5074	193	8	a	a	DET
cana-5074	193	9	crucial	crucial	ADJ
cana-5074	193	10	and	and	CCONJ
cana-5074	193	11	timely	timely	ADJ
cana-5074	193	12	research	research	NOUN
cana-5074	193	13	area	area	NOUN
cana-5074	193	14	.	.	PUNCT
cana-5074	194	1	this	this	DET
cana-5074	194	2	tertiary	tertiary	ADJ
cana-5074	194	3	study	study	NOUN
cana-5074	194	4	examines	examine	VERB
cana-5074	194	5	sentiment	sentiment	NOUN
cana-5074	194	6	analysis	analysis	NOUN
cana-5074	194	7	methods	method	NOUN
cana-5074	194	8	,	,	PUNCT
cana-5074	194	9	focusing	focus	VERB
cana-5074	194	10	on	on	ADP
cana-5074	194	11	identifying	identify	VERB
cana-5074	194	12	adopted	adopt	VERB
cana-5074	194	13	features	feature	NOUN
cana-5074	194	14	(	(	PUNCT
cana-5074	194	15	input	input	NOUN
cana-5074	194	16	/	/	SYM
cana-5074	194	17	output	output	NOUN
cana-5074	194	18	)	)	PUNCT
cana-5074	194	19	,	,	PUNCT
cana-5074	194	20	approaches	approach	NOUN
cana-5074	194	21	,	,	PUNCT
cana-5074	194	22	datasets	dataset	NOUN
cana-5074	194	23	,	,	PUNCT
cana-5074	194	24	and	and	CCONJ
cana-5074	194	25	associated	associated	ADJ
cana-5074	194	26	challenges	challenge	NOUN
cana-5074	194	27	.	.	PUNCT
cana-5074	195	1	the	the	DET
cana-5074	195	2	findings	finding	NOUN
cana-5074	195	3	were	be	AUX
cana-5074	195	4	derived	derive	VERB
cana-5074	195	5	from	from	ADP
cana-5074	195	6	a	a	DET
cana-5074	195	7	comprehensive	comprehensive	ADJ
cana-5074	195	8	analysis	analysis	NOUN
cana-5074	195	9	of	of	ADP
cana-5074	195	10	secondary	secondary	ADJ
cana-5074	195	11	studies	study	NOUN
cana-5074	195	12	.	.	PUNCT
cana-5074	196	1	the	the	DET
cana-5074	196	2	research	research	NOUN
cana-5074	196	3	revealed	reveal	VERB
cana-5074	196	4	varying	vary	VERB
cana-5074	196	5	numbers	number	NOUN
cana-5074	196	6	of	of	ADP
cana-5074	196	7	input	input	NOUN
cana-5074	196	8	and	and	CCONJ
cana-5074	196	9	output	output	NOUN
cana-5074	196	10	features	feature	NOUN
cana-5074	196	11	,	,	PUNCT
cana-5074	196	12	with	with	ADP
cana-5074	196	13	some	some	DET
cana-5074	196	14	features	feature	NOUN
cana-5074	196	15	appearing	appear	VERB
cana-5074	196	16	consistently	consistently	ADV
cana-5074	196	17	across	across	ADP
cana-5074	196	18	all	all	DET
cana-5074	196	19	secondary	secondary	ADJ
cana-5074	196	20	studies	study	NOUN
cana-5074	196	21	while	while	SCONJ
cana-5074	196	22	others	other	NOUN
cana-5074	196	23	were	be	AUX
cana-5074	196	24	specific	specific	ADJ
cana-5074	196	25	to	to	ADP
cana-5074	196	26	particular	particular	ADJ
cana-5074	196	27	studies	study	NOUN
cana-5074	196	28	.	.	PUNCT
cana-5074	197	1	a	a	DET
cana-5074	197	2	notable	notable	ADJ
cana-5074	197	3	finding	finding	NOUN
cana-5074	197	4	was	be	AUX
cana-5074	197	5	the	the	DET
cana-5074	197	6	prevalence	prevalence	NOUN
cana-5074	197	7	of	of	ADP
cana-5074	197	8	sentiment	sentiment	NOUN
cana-5074	197	9	analysis	analysis	NOUN
cana-5074	197	10	applications	application	NOUN
cana-5074	197	11	in	in	ADP
cana-5074	197	12	social	social	ADJ
cana-5074	197	13	media	medium	NOUN
cana-5074	197	14	compared	compare	VERB
cana-5074	197	15	to	to	ADP
cana-5074	197	16	other	other	ADJ
cana-5074	197	17	domains	domain	NOUN
cana-5074	197	18	,	,	PUNCT
cana-5074	197	19	with	with	ADP
cana-5074	197	20	evidence	evidence	NOUN
cana-5074	197	21	suggesting	suggest	VERB
cana-5074	197	22	that	that	SCONJ
cana-5074	197	23	different	different	ADJ
cana-5074	197	24	domains	domain	NOUN
cana-5074	197	25	require	require	VERB
cana-5074	197	26	distinct	distinct	ADJ
cana-5074	197	27	analytical	analytical	ADJ
cana-5074	197	28	techniques	technique	NOUN
cana-5074	197	29	.	.	PUNCT
cana-5074	198	1	the	the	DET
cana-5074	198	2	research	research	NOUN
cana-5074	198	3	identified	identify	VERB
cana-5074	198	4	an	an	DET
cana-5074	198	5	emerging	emerge	VERB
cana-5074	198	6	trend	trend	NOUN
cana-5074	198	7	toward	toward	ADP
cana-5074	198	8	deep	deep	ADJ
cana-5074	198	9	learning	learning	NOUN
cana-5074	198	10	techniques	technique	NOUN
cana-5074	198	11	,	,	PUNCT
cana-5074	198	12	which	which	PRON
cana-5074	198	13	excel	excel	VERB
cana-5074	198	14	at	at	ADP
cana-5074	198	15	detecting	detect	VERB
cana-5074	198	16	complex	complex	ADJ
cana-5074	198	17	patterns	pattern	NOUN
cana-5074	198	18	in	in	ADP
cana-5074	198	19	text	text	NOUN
cana-5074	198	20	and	and	CCONJ
cana-5074	198	21	perform	perform	VERB
cana-5074	198	22	particularly	particularly	ADV
cana-5074	198	23	well	well	ADV
cana-5074	198	24	with	with	ADP
cana-5074	198	25	larger	large	ADJ
cana-5074	198	26	datasets	dataset	NOUN
cana-5074	198	27	.	.	PUNCT
cana-5074	199	1	in	in	ADP
cana-5074	199	2	specific	specific	ADJ
cana-5074	199	3	applications	application	NOUN
cana-5074	199	4	,	,	PUNCT
cana-5074	199	5	such	such	ADJ
cana-5074	199	6	as	as	ADP
cana-5074	199	7	advertising	advertising	NOUN
cana-5074	199	8	,	,	PUNCT
cana-5074	199	9	even	even	ADV
cana-5074	199	10	minor	minor	ADJ
cana-5074	199	11	performance	performance	NOUN
cana-5074	199	12	improvements	improvement	NOUN
cana-5074	199	13	achieved	achieve	VERB
cana-5074	199	14	through	through	ADP
cana-5074	199	15	deep	deep	ADJ
cana-5074	199	16	learning	learning	NOUN
cana-5074	199	17	can	can	AUX
cana-5074	199	18	have	have	VERB
cana-5074	199	19	a	a	DET
cana-5074	199	20	significant	significant	ADJ
cana-5074	199	21	impact	impact	NOUN
cana-5074	199	22	.	.	PUNCT
cana-5074	200	1	however	however	ADV
cana-5074	200	2	,	,	PUNCT
cana-5074	200	3	traditional	traditional	ADJ
cana-5074	200	4	communications	communication	NOUN
cana-5074	200	5	on	on	ADP
cana-5074	200	6	applied	apply	VERB
cana-5074	200	7	nonlinear	nonlinear	ADJ
cana-5074	200	8	analysis	analysis	NOUN
cana-5074	200	9	issn	issn	NOUN
cana-5074	200	10	:	:	PUNCT
cana-5074	200	11	1074	1074	NUM
cana-5074	200	12	-	-	PUNCT
cana-5074	200	13	133x	133x	NUM
cana-5074	200	14	vol	vol	NOUN
cana-5074	200	15	32	32	NUM
cana-5074	200	16	no	no	NOUN
cana-5074	200	17	.	.	PUNCT
cana-5074	201	1	icmasd	icmasd	NOUN
cana-5074	201	2	(	(	PUNCT
cana-5074	201	3	2025	2025	NUM
cana-5074	201	4	)	)	PUNCT
cana-5074	201	5	471	471	NUM
cana-5074	201	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5074	201	7	machine	machine	NOUN
cana-5074	201	8	learning	learning	NOUN
cana-5074	201	9	models	model	NOUN
cana-5074	201	10	maintain	maintain	VERB
cana-5074	201	11	their	their	PRON
cana-5074	201	12	relevance	relevance	NOUN
cana-5074	201	13	due	due	ADP
cana-5074	201	14	to	to	ADP
cana-5074	201	15	their	their	PRON
cana-5074	201	16	lower	low	ADJ
cana-5074	201	17	computational	computational	ADJ
cana-5074	201	18	requirements	requirement	NOUN
cana-5074	201	19	and	and	CCONJ
cana-5074	201	20	satisfactory	satisfactory	ADJ
cana-5074	201	21	performance	performance	NOUN
cana-5074	201	22	in	in	ADP
cana-5074	201	23	sentiment	sentiment	NOUN
cana-5074	201	24	analysis	analysis	NOUN
cana-5074	201	25	tasks	task	NOUN
cana-5074	201	26	.	.	PUNCT
cana-5074	202	1	these	these	DET
cana-5074	202	2	conventional	conventional	ADJ
cana-5074	202	3	approaches	approach	NOUN
cana-5074	202	4	continue	continue	VERB
cana-5074	202	5	to	to	PART
cana-5074	202	6	receive	receive	VERB
cana-5074	202	7	widespread	widespread	ADJ
cana-5074	202	8	recognition	recognition	NOUN
cana-5074	202	9	for	for	ADP
cana-5074	202	10	their	their	PRON
cana-5074	202	11	efficiency	efficiency	NOUN
cana-5074	202	12	and	and	CCONJ
cana-5074	202	13	effectiveness	effectiveness	NOUN
cana-5074	202	14	.	.	PUNCT
cana-5074	203	1	the	the	DET
cana-5074	203	2	study	study	NOUN
cana-5074	203	3	highlights	highlight	NOUN
cana-5074	203	4	domain	domain	NOUN
cana-5074	203	5	and	and	CCONJ
cana-5074	203	6	language	language	NOUN
cana-5074	203	7	dependency	dependency	NOUN
cana-5074	203	8	as	as	ADP
cana-5074	203	9	the	the	DET
cana-5074	203	10	most	most	ADV
cana-5074	203	11	significant	significant	ADJ
cana-5074	203	12	challenges	challenge	NOUN
cana-5074	203	13	in	in	ADP
cana-5074	203	14	sentiment	sentiment	NOUN
cana-5074	203	15	analysis	analysis	NOUN
cana-5074	203	16	.	.	PUNCT
cana-5074	204	1	different	different	ADJ
cana-5074	204	2	domains	domain	NOUN
cana-5074	204	3	and	and	CCONJ
cana-5074	204	4	languages	language	NOUN
cana-5074	204	5	require	require	VERB
cana-5074	204	6	specific	specific	ADJ
cana-5074	204	7	text	text	NOUN
cana-5074	204	8	corpora	corpora	NOUN
cana-5074	204	9	for	for	ADP
cana-5074	204	10	effective	effective	ADJ
cana-5074	204	11	analysis	analysis	NOUN
cana-5074	204	12	.	.	PUNCT
cana-5074	205	1	while	while	SCONJ
cana-5074	205	2	attempts	attempt	NOUN
cana-5074	205	3	have	have	AUX
cana-5074	205	4	been	be	AUX
cana-5074	205	5	made	make	VERB
cana-5074	205	6	to	to	PART
cana-5074	205	7	develop	develop	VERB
cana-5074	205	8	cross	cross	ADJ
cana-5074	205	9	-	-	ADJ
cana-5074	205	10	domain	domain	ADJ
cana-5074	205	11	and	and	CCONJ
cana-5074	205	12	multi	multi	ADJ
cana-5074	205	13	-	-	ADJ
cana-5074	205	14	lingual	lingual	ADJ
cana-5074	205	15	sentiment	sentiment	NOUN
cana-5074	205	16	analysis	analysis	NOUN
cana-5074	205	17	models	model	NOUN
cana-5074	205	18	,	,	PUNCT
cana-5074	205	19	this	this	PRON
cana-5074	205	20	remains	remain	VERB
cana-5074	205	21	a	a	DET
cana-5074	205	22	challenging	challenging	ADJ
cana-5074	205	23	area	area	NOUN
cana-5074	205	24	requiring	require	VERB
cana-5074	205	25	further	further	ADJ
cana-5074	205	26	research	research	NOUN
cana-5074	205	27	.	.	PUNCT
cana-5074	206	1	additional	additional	ADJ
cana-5074	206	2	prominent	prominent	ADJ
cana-5074	206	3	challenges	challenge	NOUN
cana-5074	206	4	include	include	VERB
cana-5074	206	5	opinion	opinion	NOUN
cana-5074	206	6	spam	spam	NOUN
cana-5074	206	7	detection	detection	NOUN
cana-5074	206	8	and	and	CCONJ
cana-5074	206	9	the	the	DET
cana-5074	206	10	implementation	implementation	NOUN
cana-5074	206	11	of	of	ADP
cana-5074	206	12	deep	deep	ADJ
cana-5074	206	13	learning	learning	NOUN
cana-5074	206	14	in	in	ADP
cana-5074	206	15	sentiment	sentiment	NOUN
cana-5074	206	16	analysis	analysis	NOUN
cana-5074	206	17	tasks	task	NOUN
cana-5074	206	18	.	.	PUNCT
cana-5074	207	1	the	the	DET
cana-5074	207	2	findings	finding	NOUN
cana-5074	207	3	emphasize	emphasize	VERB
cana-5074	207	4	that	that	PRON
cana-5074	207	5	sentiment	sentiment	NOUN
cana-5074	207	6	analysis	analysis	NOUN
cana-5074	207	7	remains	remain	VERB
cana-5074	207	8	a	a	DET
cana-5074	207	9	crucial	crucial	ADJ
cana-5074	207	10	and	and	CCONJ
cana-5074	207	11	timely	timely	ADJ
cana-5074	207	12	research	research	NOUN
cana-5074	207	13	area	area	NOUN
cana-5074	207	14	.	.	PUNCT
cana-5074	208	1	8	8	X
cana-5074	208	2	.	.	NUM
cana-5074	208	3	references	reference	NOUN
cana-5074	208	4	[	[	X
cana-5074	208	5	1	1	NUM
cana-5074	208	6	]	]	X
cana-5074	208	7	pozzi	pozzi	PROPN
cana-5074	208	8	fa	fa	PROPN
cana-5074	208	9	,	,	PUNCT
cana-5074	208	10	fersini	fersini	X
cana-5074	208	11	e	e	NOUN
cana-5074	208	12	,	,	PUNCT
cana-5074	208	13	messina	messina	PROPN
cana-5074	208	14	e	e	PROPN
cana-5074	208	15	,	,	PUNCT
cana-5074	208	16	liu	liu	PROPN
cana-5074	208	17	b	b	PROPN
cana-5074	208	18	(	(	PUNCT
cana-5074	208	19	2017	2017	NUM
cana-5074	208	20	)	)	PUNCT
cana-5074	208	21	challenges	challenge	NOUN
cana-5074	208	22	of	of	ADP
cana-5074	208	23	sentiment	sentiment	NOUN
cana-5074	208	24	analysis	analysis	NOUN
cana-5074	208	25	in	in	ADP
cana-5074	208	26	social	social	ADJ
cana-5074	208	27	networks	network	NOUN
cana-5074	208	28	:	:	PUNCT
cana-5074	208	29	an	an	DET
cana-5074	208	30	overview	overview	NOUN
cana-5074	208	31	.	.	PUNCT
cana-5074	209	1	in	in	ADP
cana-5074	209	2	:	:	PUNCT
cana-5074	209	3	pozzi	pozzi	PROPN
cana-5074	209	4	fa	fa	PROPN
cana-5074	209	5	,	,	PUNCT
cana-5074	209	6	fersini	fersini	X
cana-5074	209	7	e	e	NOUN
cana-5074	209	8	,	,	PUNCT
cana-5074	209	9	messina	messina	PROPN
cana-5074	209	10	e	e	PROPN
cana-5074	209	11	,	,	PUNCT
cana-5074	209	12	liu	liu	PROPN
cana-5074	209	13	b	b	PROPN
cana-5074	209	14	(	(	PUNCT
cana-5074	209	15	eds	ed	NOUN
cana-5074	209	16	)	)	PUNCT
cana-5074	209	17	sentiment	sentiment	NOUN
cana-5074	209	18	analysis	analysis	NOUN
cana-5074	209	19	in	in	ADP
cana-5074	209	20	social	social	ADJ
cana-5074	209	21	networks	network	NOUN
cana-5074	209	22	.	.	PUNCT
cana-5074	210	1	morgan	morgan	PROPN
cana-5074	210	2	kaufmann	kaufmann	PROPN
cana-5074	210	3	,	,	PUNCT
cana-5074	210	4	burlington	burlington	PROPN
cana-5074	210	5	,	,	PUNCT
cana-5074	210	6	pp	pp	ADP
cana-5074	210	7	1–11	1–11	PROPN
cana-5074	211	1	[	[	X
cana-5074	211	2	2	2	NUM
cana-5074	211	3	]	]	PUNCT
cana-5074	211	4	catal	catal	PROPN
cana-5074	211	5	c	c	PROPN
cana-5074	211	6	,	,	PUNCT
cana-5074	211	7	mishra	mishra	PROPN
cana-5074	211	8	d	d	PROPN
cana-5074	211	9	(	(	PUNCT
cana-5074	211	10	2013	2013	NUM
cana-5074	211	11	)	)	PUNCT
cana-5074	211	12	test	test	NOUN
cana-5074	211	13	case	case	NOUN
cana-5074	211	14	prioritization	prioritization	NOUN
cana-5074	211	15	:	:	PUNCT
cana-5074	211	16	a	a	DET
cana-5074	211	17	systematic	systematic	ADJ
cana-5074	211	18	mapping	mapping	NOUN
cana-5074	211	19	study	study	NOUN
cana-5074	211	20	.	.	PUNCT
cana-5074	212	1	softw	softw	PROPN
cana-5074	212	2	qual	qual	PROPN
cana-5074	212	3	j	j	PROPN
cana-5074	212	4	21(3):445–478	21(3):445–478	PROPN
cana-5074	212	5	chandra	chandra	PROPN
cana-5074	212	6	y	y	PROPN
cana-5074	212	7	,	,	PUNCT
cana-5074	212	8	jana	jana	PROPN
cana-5074	212	9	a	a	DET
cana-5074	212	10	(	(	PUNCT
cana-5074	212	11	2020	2020	NUM
cana-5074	212	12	)	)	PUNCT
cana-5074	212	13	sentiment	sentiment	NOUN
cana-5074	212	14	analysis	analysis	NOUN
cana-5074	212	15	using	use	VERB
cana-5074	212	16	machine	machine	NOUN
cana-5074	212	17	learning	learning	NOUN
cana-5074	212	18	and	and	CCONJ
cana-5074	212	19	deep	deep	ADJ
cana-5074	212	20	learning	learning	NOUN
cana-5074	212	21	.	.	PUNCT
cana-5074	213	1	in	in	ADP
cana-5074	213	2	:	:	PUNCT
cana-5074	213	3	2020	2020	NUM
cana-5074	213	4	7th	7th	ADJ
cana-5074	213	5	inter	inter	NOUN
cana-5074	214	1	[	[	X
cana-5074	214	2	3	3	NUM
cana-5074	214	3	]	]	X
cana-5074	214	4	national	national	ADJ
cana-5074	214	5	conference	conference	NOUN
cana-5074	214	6	on	on	ADP
cana-5074	214	7	computing	compute	VERB
cana-5074	214	8	for	for	ADP
cana-5074	214	9	sustainable	sustainable	ADJ
cana-5074	214	10	global	global	ADJ
cana-5074	214	11	development	development	NOUN
cana-5074	214	12	(	(	PUNCT
cana-5074	214	13	indiacom	indiacom	NOUN
cana-5074	214	14	)	)	PUNCT
cana-5074	214	15	.	.	PUNCT
cana-5074	215	1	ieee	ieee	PROPN
cana-5074	215	2	,	,	PUNCT
cana-5074	215	3	pp	pp	ADV
cana-5074	215	4	.	.	PUNCT
cana-5074	216	1	1–4	1–4	PROPN
cana-5074	216	2	chapelle	chapelle	PROPN
cana-5074	216	3	o	o	PROPN
cana-5074	216	4	,	,	PUNCT
cana-5074	216	5	zien	zien	PROPN
cana-5074	216	6	a	a	DET
cana-5074	216	7	(	(	PUNCT
cana-5074	216	8	2005	2005	NUM
cana-5074	216	9	)	)	PUNCT
cana-5074	216	10	semi	semi	ADJ
cana-5074	216	11	-	-	ADJ
cana-5074	216	12	supervised	supervised	ADJ
cana-5074	216	13	classification	classification	NOUN
cana-5074	216	14	by	by	ADP
cana-5074	216	15	low	low	ADJ
cana-5074	216	16	-	-	PUNCT
cana-5074	216	17	density	density	NOUN
cana-5074	216	18	separation	separation	NOUN
cana-5074	216	19	.	.	PUNCT
cana-5074	217	1	in	in	ADP
cana-5074	217	2	:	:	PUNCT
cana-5074	217	3	aistats	aistat	NOUN
cana-5074	217	4	vol	vol	NOUN
cana-5074	217	5	[	[	X
cana-5074	217	6	4	4	NUM
cana-5074	217	7	]	]	SYM
cana-5074	217	8	2005	2005	NUM
cana-5074	217	9	,	,	PUNCT
cana-5074	217	10	pp	pp	PROPN
cana-5074	217	11	57–64	57–64	NUM
cana-5074	217	12	[	[	X
cana-5074	217	13	5	5	X
cana-5074	217	14	]	]	PUNCT
cana-5074	217	15	vyas	vyas	PROPN
cana-5074	217	16	v	v	PROPN
cana-5074	217	17	,	,	PUNCT
cana-5074	217	18	uma	uma	PROPN
cana-5074	217	19	v	v	X
cana-5074	217	20	(	(	PUNCT
cana-5074	217	21	2019	2019	NUM
cana-5074	217	22	)	)	PUNCT
cana-5074	217	23	approaches	approach	NOUN
cana-5074	217	24	to	to	PART
cana-5074	217	25	sentiment	sentiment	VERB
cana-5074	217	26	analysis	analysis	NOUN
cana-5074	217	27	on	on	ADP
cana-5074	217	28	product	product	NOUN
cana-5074	217	29	reviews	review	NOUN
cana-5074	217	30	.	.	PUNCT
cana-5074	218	1	sentiment	sentiment	NOUN
cana-5074	218	2	analysis	analysis	NOUN
cana-5074	218	3	and	and	CCONJ
cana-5074	218	4	knowledge	knowledge	NOUN
cana-5074	218	5	discovery	discovery	NOUN
cana-5074	218	6	in	in	ADP
cana-5074	218	7	contemporary	contemporary	ADJ
cana-5074	218	8	business	business	NOUN
cana-5074	218	9	.	.	PUNCT
cana-5074	219	1	igi	igi	PROPN
cana-5074	219	2	global	global	PROPN
cana-5074	219	3	,	,	PUNCT
cana-5074	219	4	pennsylvania	pennsylvania	PROPN
cana-5074	219	5	,	,	PUNCT
cana-5074	219	6	pp	pp	ADV
cana-5074	219	7	15	15	NUM
cana-5074	219	8	–	–	SYM
cana-5074	219	9	30	30	NUM
cana-5074	219	10	[	[	SYM
cana-5074	219	11	6	6	NUM
cana-5074	219	12	]	]	PUNCT
cana-5074	219	13	kansara	kansara	NOUN
cana-5074	219	14	d	d	PROPN
cana-5074	219	15	,	,	PUNCT
cana-5074	219	16	sawant	sawant	PROPN
cana-5074	219	17	v	v	PROPN
cana-5074	219	18	(	(	PUNCT
cana-5074	219	19	2020	2020	NUM
cana-5074	219	20	)	)	PUNCT
cana-5074	219	21	comparison	comparison	NOUN
cana-5074	219	22	of	of	ADP
cana-5074	219	23	traditional	traditional	ADJ
cana-5074	219	24	machine	machine	NOUN
cana-5074	219	25	learning	learning	NOUN
cana-5074	219	26	and	and	CCONJ
cana-5074	219	27	deep	deep	ADJ
cana-5074	219	28	learning	learning	NOUN
cana-5074	219	29	approaches	approach	NOUN
cana-5074	219	30	for	for	ADP
cana-5074	219	31	sentiment	sentiment	NOUN
cana-5074	219	32	analysis	analysis	NOUN
cana-5074	219	33	.	.	PUNCT
cana-5074	220	1	advanced	advanced	ADJ
cana-5074	220	2	computing	computing	NOUN
cana-5074	220	3	technologies	technology	NOUN
cana-5074	220	4	and	and	CCONJ
cana-5074	220	5	applications	application	NOUN
cana-5074	220	6	.	.	PUNCT
cana-5074	221	1	springer	springer	PROPN
cana-5074	221	2	,	,	PUNCT
cana-5074	221	3	singapore	singapore	PROPN
cana-5074	221	4	,	,	PUNCT
cana-5074	221	5	pp	pp	PROPN
cana-5074	222	1	365–377	365–377	NUM
cana-5074	222	2	[	[	X
cana-5074	222	3	7	7	NUM
cana-5074	222	4	]	]	X
cana-5074	222	5	vechtomova	vechtomova	ADJ
cana-5074	222	6	o	o	X
cana-5074	222	7	(	(	PUNCT
cana-5074	222	8	2017	2017	NUM
cana-5074	222	9	)	)	PUNCT
cana-5074	222	10	disambiguating	disambiguate	VERB
cana-5074	222	11	context	context	NOUN
cana-5074	222	12	-	-	PUNCT
cana-5074	222	13	dependent	dependent	ADJ
cana-5074	222	14	polarity	polarity	NOUN
cana-5074	222	15	of	of	ADP
cana-5074	222	16	words	word	NOUN
cana-5074	222	17	:	:	PUNCT
cana-5074	222	18	an	an	DET
cana-5074	222	19	information	information	NOUN
cana-5074	222	20	retrieval	retrieval	NOUN
cana-5074	222	21	approach	approach	NOUN
cana-5074	222	22	.	.	PUNCT
cana-5074	223	1	inf	inf	ADJ
cana-5074	223	2	process	process	NOUN
cana-5074	223	3	manag	manag	VERB
cana-5074	223	4	53(5):1062–1079	53(5):1062–1079	PRON
cana-5074	223	5	[	[	X
cana-5074	223	6	8	8	NUM
cana-5074	223	7	]	]	PUNCT
cana-5074	223	8	xia	xia	PROPN
cana-5074	223	9	y	y	PROPN
cana-5074	223	10	,	,	PUNCT
cana-5074	223	11	cambria	cambria	PROPN
cana-5074	223	12	e	e	PROPN
cana-5074	223	13	,	,	PUNCT
cana-5074	223	14	hussain	hussain	PROPN
cana-5074	223	15	a	a	PRON
cana-5074	223	16	,	,	PUNCT
cana-5074	223	17	zhao	zhao	PROPN
cana-5074	223	18	h	h	PROPN
cana-5074	223	19	(	(	PUNCT
cana-5074	223	20	2015	2015	NUM
cana-5074	223	21	)	)	PUNCT
cana-5074	223	22	word	word	NOUN
cana-5074	223	23	polarity	polarity	NOUN
cana-5074	223	24	disambiguation	disambiguation	NOUN
cana-5074	223	25	using	use	VERB
cana-5074	223	26	bayesian	bayesian	NOUN
cana-5074	223	27	model	model	NOUN
cana-5074	223	28	and	and	CCONJ
cana-5074	223	29	opinion	opinion	NOUN
cana-5074	223	30	-	-	PUNCT
cana-5074	223	31	level	level	NOUN
cana-5074	223	32	features	feature	NOUN
cana-5074	223	33	.	.	PUNCT
cana-5074	224	1	cognit	cognit	PROPN
cana-5074	224	2	computer	computer	NOUN
cana-5074	224	3	7(3):369–380	7(3):369–380	NOUN
cana-5074	224	4	.	.	PUNCT
cana-5074	225	1	[	[	X
cana-5074	225	2	9	9	NUM
cana-5074	225	3	]	]	SYM
cana-5074	225	4	filatova	filatova	PROPN
cana-5074	225	5	,	,	PUNCT
cana-5074	225	6	e.	e.	PROPN
cana-5074	225	7	(	(	PUNCT
cana-5074	225	8	2012	2012	NUM
cana-5074	225	9	)	)	PUNCT
cana-5074	225	10	.	.	PUNCT
cana-5074	226	1	irony	irony	NOUN
cana-5074	226	2	and	and	CCONJ
cana-5074	226	3	sarcasm	sarcasm	NOUN
cana-5074	226	4	:	:	PUNCT
cana-5074	226	5	corpus	corpus	NOUN
cana-5074	226	6	generation	generation	NOUN
cana-5074	226	7	and	and	CCONJ
cana-5074	226	8	analysis	analysis	NOUN
cana-5074	226	9	using	use	VERB
cana-5074	226	10	crowdsourcing	crowdsource	VERB
cana-5074	226	11	.	.	PUNCT
cana-5074	227	1	in	in	ADP
cana-5074	227	2	:	:	PUNCT
cana-5074	227	3	lrec	lrec	NOUN
cana-5074	227	4	,	,	PUNCT
cana-5074	227	5	pp	pp	ADP
cana-5074	227	6	392–398	392–398	NUM
cana-5074	227	7	[	[	X
cana-5074	227	8	10	10	NUM
cana-5074	227	9	]	]	X
cana-5074	227	10	qiu	qiu	PROPN
cana-5074	227	11	g	g	PROPN
cana-5074	227	12	,	,	PUNCT
cana-5074	227	13	liu	liu	PROPN
cana-5074	227	14	b	b	PROPN
cana-5074	227	15	,	,	PUNCT
cana-5074	227	16	bu	bu	PROPN
cana-5074	227	17	j	j	PROPN
cana-5074	227	18	,	,	PUNCT
cana-5074	227	19	chen	chen	PROPN
cana-5074	227	20	c	c	PROPN
cana-5074	227	21	(	(	PUNCT
cana-5074	227	22	2009	2009	NUM
cana-5074	227	23	)	)	PUNCT
cana-5074	227	24	expanding	expand	VERB
cana-5074	227	25	domain	domain	NOUN
cana-5074	227	26	sentiment	sentiment	NOUN
cana-5074	227	27	lexicon	lexicon	VERB
cana-5074	227	28	through	through	ADP
cana-5074	227	29	double	double	ADJ
cana-5074	227	30	propagation	propagation	NOUN
cana-5074	227	31	.	.	PUNCT
cana-5074	228	1	in	in	ADP
cana-5074	228	2	:	:	PUNCT
cana-5074	228	3	ijcai	ijcai	NOUN
cana-5074	228	4	vol	vol	NOUN
cana-5074	228	5	9	9	NUM
cana-5074	228	6	.	.	PUNCT
cana-5074	229	1	pp	pp	NUM
cana-5074	229	2	1199–1204	1199–1204	NUM
cana-5074	230	1	[	[	X
cana-5074	230	2	11	11	NUM
cana-5074	230	3	]	]	PUNCT
cana-5074	230	4	alarifi	alarifi	NOUN
cana-5074	230	5	a	a	X
cana-5074	230	6	,	,	PUNCT
cana-5074	230	7	tolba	tolba	PROPN
cana-5074	230	8	a	a	X
cana-5074	230	9	,	,	PUNCT
cana-5074	230	10	al	al	PROPN
cana-5074	230	11	-	-	PUNCT
cana-5074	230	12	makhadmeh	makhadmeh	PROPN
cana-5074	230	13	z	z	PROPN
cana-5074	230	14	,	,	PUNCT
cana-5074	230	15	said	say	VERB
cana-5074	230	16	w	w	X
cana-5074	230	17	(	(	PUNCT
cana-5074	230	18	2020	2020	NUM
cana-5074	230	19	)	)	PUNCT
cana-5074	230	20	a	a	DET
cana-5074	230	21	big	big	ADJ
cana-5074	230	22	data	data	NOUN
cana-5074	230	23	approach	approach	NOUN
cana-5074	230	24	to	to	ADP
cana-5074	230	25	sentiment	sentiment	NOUN
cana-5074	230	26	analysis	analysis	NOUN
cana-5074	230	27	using	use	VERB
cana-5074	230	28	greedy	greedy	ADJ
cana-5074	230	29	feature	feature	NOUN
cana-5074	230	30	selection	selection	NOUN
cana-5074	230	31	with	with	ADP
cana-5074	230	32	cat	cat	NOUN
cana-5074	230	33	swarm	swarm	NOUN
cana-5074	230	34	optimization	optimization	NOUN
cana-5074	230	35	-	-	PUNCT
cana-5074	230	36	based	base	VERB
cana-5074	230	37	long	long	ADJ
cana-5074	230	38	short	short	ADJ
cana-5074	230	39	-	-	PUNCT
cana-5074	230	40	term	term	NOUN
cana-5074	230	41	communications	communication	NOUN
cana-5074	230	42	on	on	ADP
cana-5074	230	43	applied	apply	VERB
cana-5074	230	44	nonlinear	nonlinear	ADJ
cana-5074	230	45	analysis	analysis	NOUN
cana-5074	230	46	issn	issn	NOUN
cana-5074	230	47	:	:	PUNCT
cana-5074	230	48	1074	1074	NUM
cana-5074	230	49	-	-	PUNCT
cana-5074	230	50	133x	133x	NUM
cana-5074	230	51	vol	vol	NOUN
cana-5074	230	52	32	32	NUM
cana-5074	230	53	no	no	NOUN
cana-5074	230	54	.	.	PUNCT
cana-5074	231	1	icmasd	icmasd	NOUN
cana-5074	231	2	(	(	PUNCT
cana-5074	231	3	2025	2025	NUM
cana-5074	231	4	)	)	PUNCT
cana-5074	231	5	472	472	NUM
cana-5074	231	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5074	231	7	memory	memory	NOUN
cana-5074	231	8	neural	neural	ADJ
cana-5074	231	9	networks	network	NOUN
cana-5074	231	10	.	.	PUNCT
cana-5074	232	1	j	j	PROPN
cana-5074	232	2	supercomput	supercomput	VERB
cana-5074	232	3	76(6):4414–4429	76(6):4414–4429	NUM
cana-5074	233	1	[	[	X
cana-5074	233	2	12	12	NUM
cana-5074	233	3	]	]	PUNCT
cana-5074	233	4	alexandridis	alexandridis	NOUN
cana-5074	233	5	g	g	PROPN
cana-5074	233	6	,	,	PUNCT
cana-5074	233	7	michalakis	michalakis	PROPN
cana-5074	233	8	k	k	NOUN
cana-5074	233	9	,	,	PUNCT
cana-5074	233	10	aliprantis	aliprantis	PROPN
cana-5074	233	11	j	j	PROPN
cana-5074	233	12	,	,	PUNCT
cana-5074	233	13	polydoras	polydora	NOUN
cana-5074	233	14	p	p	NOUN
cana-5074	233	15	,	,	PUNCT
cana-5074	233	16	tsantilas	tsantila	NOUN
cana-5074	233	17	p	p	NOUN
cana-5074	233	18	,	,	PUNCT
cana-5074	233	19	caridakis	caridakis	PROPN
cana-5074	233	20	g	g	PROPN
cana-5074	233	21	(	(	PUNCT
cana-5074	233	22	2020	2020	NUM
cana-5074	233	23	)	)	PUNCT
cana-5074	233	24	a	a	DET
cana-5074	233	25	deep	deep	ADJ
cana-5074	233	26	learning	learning	NOUN
cana-5074	233	27	approach	approach	NOUN
cana-5074	233	28	to	to	ADP
cana-5074	233	29	aspect	aspect	NOUN
cana-5074	233	30	-	-	PUNCT
cana-5074	233	31	based	base	VERB
cana-5074	233	32	sentiment	sentiment	NOUN
cana-5074	233	33	prediction	prediction	NOUN
cana-5074	233	34	.	.	PUNCT
cana-5074	234	1	in	in	ADP
cana-5074	234	2	:	:	PUNCT
cana-5074	234	3	ifip	ifip	PROPN
cana-5074	234	4	international	international	ADJ
cana-5074	234	5	conference	conference	NOUN
cana-5074	234	6	on	on	ADP
cana-5074	234	7	artificial	artificial	ADJ
cana-5074	234	8	ıntelligence	ıntelligence	NOUN
cana-5074	234	9	applications	application	NOUN
cana-5074	234	10	and	and	CCONJ
cana-5074	234	11	ınnovations	ınnovation	NOUN
cana-5074	234	12	.	.	PUNCT
cana-5074	234	13	springer	springer	NOUN
cana-5074	234	14	,	,	PUNCT
cana-5074	234	15	cham	cham	PROPN
cana-5074	234	16	,	,	PUNCT
cana-5074	234	17	pp	pp	ADP
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cana-5074	234	20	13	13	NUM
cana-5074	234	21	]	]	X
cana-5074	234	22	al	al	PROPN
cana-5074	234	23	-	-	PUNCT
cana-5074	234	24	moslmi	moslmi	PROPN
cana-5074	234	25	t	t	PROPN
cana-5074	234	26	,	,	PUNCT
cana-5074	234	27	omar	omar	PROPN
cana-5074	234	28	n	n	PROPN
cana-5074	234	29	,	,	PUNCT
cana-5074	234	30	abdullah	abdullah	PROPN
cana-5074	234	31	s	s	PROPN
cana-5074	234	32	,	,	PUNCT
cana-5074	234	33	albared	albared	ADJ
cana-5074	234	34	m	m	PROPN
cana-5074	234	35	(	(	PUNCT
cana-5074	234	36	2017	2017	NUM
cana-5074	234	37	)	)	PUNCT
cana-5074	234	38	approaches	approach	NOUN
cana-5074	234	39	to	to	ADP
cana-5074	234	40	cross	cross	ADJ
cana-5074	234	41	-	-	ADJ
cana-5074	234	42	domain	domain	ADJ
cana-5074	234	43	sentiment	sentiment	NOUN
cana-5074	234	44	analysis	analysis	NOUN
cana-5074	234	45	:	:	PUNCT
cana-5074	234	46	a	a	DET
cana-5074	234	47	systematic	systematic	ADJ
cana-5074	234	48	literature	literature	NOUN
cana-5074	234	49	review	review	NOUN
cana-5074	234	50	.	.	PUNCT
cana-5074	235	1	ieee	ieee	NOUN
cana-5074	235	2	access	access	NOUN
cana-5074	235	3	5:16173–16192	5:16173–16192	NUM
cana-5074	235	4	(	(	PUNCT
cana-5074	235	5	scopus	scopus	PROPN
cana-5074	235	6	)	)	PUNCT
cana-5074	236	1	[	[	X
cana-5074	236	2	14	14	NUM
cana-5074	236	3	]	]	PUNCT
cana-5074	236	4	almotairi	almotairi	NOUN
cana-5074	236	5	,	,	PUNCT
cana-5074	236	6	m.	m.	NOUN
cana-5074	236	7	(	(	PUNCT
cana-5074	236	8	2009	2009	NUM
cana-5074	236	9	)	)	PUNCT
cana-5074	236	10	a	a	DET
cana-5074	236	11	framework	framework	NOUN
cana-5074	236	12	for	for	ADP
cana-5074	236	13	successful	successful	ADJ
cana-5074	236	14	crm	crm	NOUN
cana-5074	236	15	implementation	implementation	NOUN
cana-5074	236	16	.	.	PUNCT
cana-5074	237	1	in	in	ADP
cana-5074	237	2	:	:	PUNCT
cana-5074	237	3	european	european	ADJ
cana-5074	237	4	and	and	CCONJ
cana-5074	237	5	mediterranean	mediterranean	PROPN
cana-5074	237	6	conference	conference	PROPN
cana-5074	237	7	on	on	ADP
cana-5074	237	8	information	information	NOUN
cana-5074	237	9	systems	system	NOUN
cana-5074	237	10	.	.	PUNCT
cana-5074	238	1	pp	pp	X
cana-5074	239	1	1–14	1–14	PROPN
cana-5074	240	1	[	[	X
cana-5074	240	2	15	15	NUM
cana-5074	240	3	]	]	X
cana-5074	240	4	aslam	aslam	PROPN
cana-5074	240	5	a	a	PROPN
cana-5074	240	6	,	,	PUNCT
cana-5074	240	7	qamar	qamar	PROPN
cana-5074	240	8	u	u	PROPN
cana-5074	240	9	,	,	PUNCT
cana-5074	240	10	saqib	saqib	NOUN
cana-5074	240	11	p	p	NOUN
cana-5074	240	12	,	,	PUNCT
cana-5074	240	13	ayesha	ayesha	PROPN
cana-5074	240	14	r	r	NOUN
cana-5074	240	15	,	,	PUNCT
cana-5074	240	16	qadeer	qadeer	VERB
cana-5074	240	17	a	a	DET
cana-5074	240	18	(	(	PUNCT
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cana-5074	240	20	)	)	PUNCT
cana-5074	240	21	a	a	DET
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cana-5074	240	23	framework	framework	NOUN
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cana-5074	240	25	sentiment	sentiment	NOUN
cana-5074	240	26	analysis	analysis	NOUN
cana-5074	240	27	using	use	VERB
cana-5074	240	28	deep	deep	ADJ
cana-5074	240	29	learning	learning	NOUN
cana-5074	240	30	.	.	PUNCT
cana-5074	241	1	in	in	ADP
cana-5074	241	2	:	:	PUNCT
cana-5074	241	3	2020	2020	NUM
cana-5074	241	4	22nd	22nd	NOUN
cana-5074	241	5	international	international	ADJ
cana-5074	241	6	conference	conference	NOUN
cana-5074	241	7	on	on	ADP
cana-5074	241	8	advanced	advanced	ADJ
cana-5074	241	9	communication	communication	NOUN
cana-5074	241	10	technology	technology	NOUN
cana-5074	241	11	(	(	PUNCT
cana-5074	241	12	icact	icact	PROPN
cana-5074	241	13	)	)	PUNCT
cana-5074	241	14	.	.	PUNCT
cana-5074	242	1	ieee	ieee	PROPN
cana-5074	242	2	,	,	PUNCT
cana-5074	242	3	pp	pp	ADP
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cana-5074	242	5	.	.	PUNCT
cana-5074	243	1	[	[	X
cana-5074	243	2	16	16	NUM
cana-5074	243	3	]	]	X
cana-5074	243	4	liu	liu	PROPN
cana-5074	243	5	b	b	PROPN
cana-5074	243	6	(	(	PUNCT
cana-5074	243	7	2020	2020	NUM
cana-5074	243	8	)	)	PUNCT
cana-5074	243	9	text	text	NOUN
cana-5074	243	10	sentiment	sentiment	NOUN
cana-5074	243	11	analysis	analysis	NOUN
cana-5074	243	12	based	base	VERB
cana-5074	243	13	on	on	ADP
cana-5074	243	14	cbow	cbow	PROPN
cana-5074	243	15	model	model	NOUN
cana-5074	243	16	and	and	CCONJ
cana-5074	243	17	deep	deep	ADJ
cana-5074	243	18	learning	learning	NOUN
cana-5074	243	19	in	in	ADP
cana-5074	243	20	big	big	ADJ
cana-5074	243	21	data	datum	NOUN
cana-5074	243	22	environment	environment	NOUN
cana-5074	243	23	.	.	PUNCT
cana-5074	244	1	j	j	PROPN
cana-5074	244	2	ambient	ambient	PROPN
cana-5074	244	3	intell	intell	PROPN
cana-5074	244	4	humaniz	humaniz	VERB
cana-5074	244	5	comput	comput	VERB
cana-5074	244	6	11(2):451–458	11(2):451–458	PROPN
cana-5074	245	1	[	[	X
cana-5074	245	2	17	17	NUM
cana-5074	245	3	]	]	X
cana-5074	245	4	liu	liu	PROPN
cana-5074	245	5	q	q	PROPN
cana-5074	245	6	,	,	PUNCT
cana-5074	245	7	mukaidani	mukaidani	PROPN
cana-5074	245	8	h	h	PROPN
cana-5074	245	9	(	(	PUNCT
cana-5074	245	10	2020	2020	NUM
cana-5074	245	11	)	)	PUNCT
cana-5074	245	12	effective	effective	ADJ
cana-5074	245	13	-	-	PUNCT
cana-5074	245	14	target	target	NOUN
cana-5074	245	15	representation	representation	NOUN
cana-5074	245	16	via	via	ADP
cana-5074	245	17	lstm	lstm	NOUN
cana-5074	245	18	with	with	ADP
cana-5074	245	19	attention	attention	NOUN
cana-5074	245	20	to	to	ADP
cana-5074	245	21	aspect	aspect	NOUN
cana-5074	245	22	level	level	NOUN
cana-5074	245	23	sentiment	sentiment	NOUN
cana-5074	245	24	analysis	analysis	NOUN
cana-5074	245	25	.	.	PUNCT
cana-5074	246	1	in	in	ADP
cana-5074	246	2	:	:	PUNCT
cana-5074	246	3	2020	2020	NUM
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cana-5074	246	5	conference	conference	NOUN
cana-5074	246	6	on	on	ADP
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cana-5074	246	8	intelligence	intelligence	NOUN
cana-5074	246	9	in	in	ADP
cana-5074	246	10	ınformation	ınformation	NOUN
cana-5074	246	11	and	and	CCONJ
cana-5074	246	12	communication	communication	NOUN
cana-5074	246	13	(	(	PUNCT
cana-5074	246	14	icaiic	icaiic	ADJ
cana-5074	246	15	)	)	PUNCT
cana-5074	246	16	.	.	PUNCT
cana-5074	247	1	ieee	ieee	NOUN
cana-5074	247	2	,	,	PUNCT
cana-5074	247	3	pp	pp	ADP
cana-5074	247	4	336–340	336–340	NUM
cana-5074	247	5	[	[	SYM
cana-5074	247	6	18	18	NUM
cana-5074	247	7	]	]	X
cana-5074	247	8	liu	liu	PROPN
cana-5074	247	9	n	n	PROPN
cana-5074	247	10	,	,	PUNCT
cana-5074	247	11	shen	shen	PROPN
cana-5074	247	12	b	b	PROPN
cana-5074	247	13	(	(	PUNCT
cana-5074	247	14	2020	2020	NUM
cana-5074	247	15	)	)	PUNCT
cana-5074	247	16	aspect	aspect	NOUN
cana-5074	247	17	-	-	PUNCT
cana-5074	247	18	based	base	VERB
cana-5074	247	19	sentiment	sentiment	NOUN
cana-5074	247	20	analysis	analysis	NOUN
cana-5074	247	21	with	with	ADP
cana-5074	247	22	gated	gate	VERB
cana-5074	247	23	alternate	alternate	ADJ
cana-5074	247	24	neural	neural	ADJ
cana-5074	247	25	network	network	NOUN
cana-5074	247	26	.	.	PUNCT
cana-5074	248	1	knowledge	knowledge	NOUN
cana-5074	248	2	based	base	VERB
cana-5074	248	3	syst	syst	PROPN
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cana-5074	248	5	[	[	X
cana-5074	248	6	19	19	NUM
cana-5074	248	7	]	]	X
cana-5074	248	8	liu	liu	PROPN
cana-5074	248	9	n	n	PROPN
cana-5074	248	10	,	,	PUNCT
cana-5074	248	11	shen	shen	PROPN
cana-5074	248	12	b	b	PROPN
cana-5074	248	13	(	(	PUNCT
cana-5074	248	14	2020	2020	NUM
cana-5074	248	15	)	)	PUNCT
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cana-5074	248	17	:	:	PUNCT
cana-5074	248	18	a	a	DET
cana-5074	248	19	novel	novel	ADJ
cana-5074	248	20	memory	memory	NOUN
cana-5074	248	21	neural	neural	ADJ
cana-5074	248	22	network	network	NOUN
cana-5074	248	23	for	for	ADP
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cana-5074	248	25	interaction	interaction	NOUN
cana-5074	248	26	in	in	ADP
cana-5074	248	27	aspect	aspect	NOUN
cana-5074	248	28	-	-	PUNCT
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cana-5074	248	30	sentiment	sentiment	NOUN
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cana-5074	248	32	.	.	PUNCT
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cana-5074	250	1	[	[	X
cana-5074	250	2	20	20	NUM
cana-5074	250	3	]	]	X
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cana-5074	250	20	)	)	PUNCT
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cana-5074	251	10	(	(	PUNCT
cana-5074	251	11	tallip	tallip	NOUN
cana-5074	251	12	)	)	PUNCT
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cana-5074	253	10	q	q	X
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cana-5074	253	13	)	)	PUNCT
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cana-5074	253	22	.	.	PUNCT
cana-5074	254	1	ieee	ieee	NOUN
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cana-5074	254	23	)	)	PUNCT
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cana-5074	255	17	2020	2020	NUM
cana-5074	255	18	)	)	PUNCT
cana-5074	255	19	a	a	DET
cana-5074	255	20	fine	fine	ADV
cana-5074	255	21	-	-	PUNCT
cana-5074	255	22	grained	grain	VERB
cana-5074	255	23	sentiment	sentiment	NOUN
cana-5074	255	24	analysis	analysis	NOUN
cana-5074	255	25	of	of	ADP
cana-5074	255	26	online	online	ADJ
cana-5074	255	27	guest	guest	NOUN
cana-5074	255	28	reviews	review	NOUN
cana-5074	255	29	of	of	ADP
cana-5074	255	30	economy	economy	NOUN
cana-5074	255	31	hotels	hotel	NOUN
cana-5074	255	32	in	in	ADP
cana-5074	255	33	china	china	PROPN
cana-5074	255	34	.	.	PUNCT
cana-5074	256	1	j	j	PROPN
cana-5074	256	2	hosp	hosp	PROPN
cana-5074	256	3	mark	mark	PROPN
cana-5074	256	4	manag	manag	PROPN
cana-5074	256	5	1–25	1–25	INTJ
cana-5074	256	6	.	.	PUNCT
cana-5074	257	1	[	[	X
cana-5074	257	2	24	24	NUM
cana-5074	257	3	]	]	PUNCT
cana-5074	257	4	hung	hang	VERB
cana-5074	257	5	bt	bt	PROPN
cana-5074	257	6	(	(	PUNCT
cana-5074	257	7	2020	2020	NUM
cana-5074	257	8	)	)	PUNCT
cana-5074	257	9	integrating	integrate	VERB
cana-5074	257	10	sentiment	sentiment	NOUN
cana-5074	257	11	analysis	analysis	NOUN
cana-5074	257	12	in	in	ADP
cana-5074	257	13	recommender	recommender	NOUN
cana-5074	257	14	systems	system	NOUN
cana-5074	257	15	.	.	PUNCT
cana-5074	258	1	reliability	reliability	NOUN
cana-5074	258	2	and	and	CCONJ
cana-5074	258	3	statistical	statistical	ADJ
cana-5074	258	4	computing	computing	NOUN
cana-5074	258	5	.	.	PUNCT
cana-5074	259	1	springer	springer	NOUN
cana-5074	259	2	,	,	PUNCT
cana-5074	259	3	cham	cham	PROPN
cana-5074	259	4	,	,	PUNCT
cana-5074	259	5	pp	pp	ADP
cana-5074	259	6	127–137	127–137	NUM
cana-5074	259	7	[	[	X
cana-5074	259	8	25	25	NUM
cana-5074	259	9	]	]	PUNCT
cana-5074	259	10	hussain	hussain	PROPN
cana-5074	259	11	a	a	X
cana-5074	259	12	,	,	PUNCT
cana-5074	259	13	cambria	cambria	PROPN
cana-5074	259	14	e	e	X
cana-5074	259	15	(	(	PUNCT
cana-5074	259	16	2018	2018	NUM
cana-5074	259	17	)	)	PUNCT
cana-5074	259	18	semi	semi	ADJ
cana-5074	259	19	-	-	ADJ
cana-5074	259	20	supervised	supervised	ADJ
cana-5074	259	21	learning	learning	NOUN
cana-5074	259	22	for	for	ADP
cana-5074	259	23	big	big	ADJ
cana-5074	259	24	social	social	ADJ
cana-5074	259	25	data	datum	NOUN
cana-5074	259	26	analysis	analysis	NOUN
cana-5074	259	27	.	.	PUNCT
cana-5074	260	1	neurocomputing	neurocompute	VERB
cana-5074	260	2	275:1662–1673	275:1662–1673	PROPN
cana-5074	261	1	[	[	X
cana-5074	261	2	26	26	NUM
cana-5074	261	3	]	]	X
cana-5074	261	4	ishaya	ishaya	PROPN
cana-5074	261	5	t	t	PROPN
cana-5074	261	6	,	,	PUNCT
cana-5074	261	7	folarin	folarin	PROPN
cana-5074	261	8	m	m	PROPN
cana-5074	261	9	(	(	PUNCT
cana-5074	261	10	2012	2012	NUM
cana-5074	261	11	)	)	PUNCT
cana-5074	261	12	a	a	DET
cana-5074	261	13	service	service	NOUN
cana-5074	261	14	oriented	orient	VERB
cana-5074	261	15	approach	approach	NOUN
cana-5074	261	16	to	to	ADP
cana-5074	261	17	business	business	NOUN
cana-5074	261	18	intelligence	intelligence	NOUN
cana-5074	261	19	in	in	ADP
cana-5074	261	20	telecoms	telecom	NOUN
cana-5074	261	21	industry	industry	NOUN
cana-5074	261	22	.	.	PUNCT
cana-5074	262	1	telemat	telemat	NOUN
cana-5074	262	2	inform	inform	VERB
cana-5074	262	3	29(3):273–285	29(3):273–285	PROPN
cana-5074	262	4	.	.	PUNCT
cana-5074	263	1	https://doi.org/10.1016/j.tele.2012.01.004	https://doi.org/10.1016/j.tele.2012.01.004	NOUN
cana-5074	264	1	[	[	X
cana-5074	264	2	27	27	NUM
cana-5074	264	3	]	]	X
cana-5074	264	4	ji	ji	PROPN
cana-5074	264	5	c	c	PROPN
cana-5074	264	6	,	,	PUNCT
cana-5074	264	7	wu	wu	PROPN
cana-5074	264	8	h	h	PROPN
cana-5074	264	9	(	(	PUNCT
cana-5074	264	10	2020	2020	NUM
cana-5074	264	11	)	)	PUNCT
cana-5074	264	12	cascade	cascade	NOUN
cana-5074	264	13	architecture	architecture	NOUN
cana-5074	264	14	with	with	ADP
cana-5074	264	15	rhetoric	rhetoric	NOUN
cana-5074	264	16	long	long	ADJ
cana-5074	264	17	short	short	ADJ
cana-5074	264	18	-	-	PUNCT
cana-5074	264	19	term	term	NOUN
cana-5074	264	20	memory	memory	NOUN
cana-5074	264	21	for	for	ADP
cana-5074	264	22	complex	complex	ADJ
cana-5074	264	23	sentence	sentence	NOUN
cana-5074	264	24	sentiment	sentiment	NOUN
cana-5074	264	25	analysis	analysis	NOUN
cana-5074	264	26	.	.	PUNCT
cana-5074	265	1	neurocomputing	neurocompute	VERB
cana-5074	265	2	405:161–172	405:161–172	NUM
cana-5074	265	3	https://doi.org/10.1016/j.tele.2012.01.004	https://doi.org/10.1016/j.tele.2012.01.004	NOUN
cana-5074	265	4	communications	communication	NOUN
cana-5074	265	5	on	on	ADP
cana-5074	265	6	applied	apply	VERB
cana-5074	265	7	nonlinear	nonlinear	ADJ
cana-5074	265	8	analysis	analysis	NOUN
cana-5074	265	9	issn	issn	NOUN
cana-5074	265	10	:	:	PUNCT
cana-5074	265	11	1074	1074	NUM
cana-5074	265	12	-	-	PUNCT
cana-5074	265	13	133x	133x	NUM
cana-5074	265	14	vol	vol	NOUN
cana-5074	265	15	32	32	NUM
cana-5074	265	16	no	no	NOUN
cana-5074	265	17	.	.	PUNCT
cana-5074	266	1	icmasd	icmasd	NOUN
cana-5074	266	2	(	(	PUNCT
cana-5074	266	3	2025	2025	NUM
cana-5074	266	4	)	)	PUNCT
cana-5074	266	5	473	473	NUM
cana-5074	266	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5074	267	1	[	[	X
cana-5074	267	2	28	28	NUM
cana-5074	267	3	]	]	X
cana-5074	267	4	jia	jia	PROPN
cana-5074	267	5	z	z	PROPN
cana-5074	267	6	,	,	PUNCT
cana-5074	267	7	bai	bai	PROPN
cana-5074	267	8	x	x	SYM
cana-5074	267	9	,	,	PUNCT
cana-5074	267	10	pang	pang	NOUN
cana-5074	267	11	s	s	PART
cana-5074	267	12	(	(	PUNCT
cana-5074	267	13	2020	2020	NUM
cana-5074	267	14	)	)	PUNCT
cana-5074	267	15	hierarchical	hierarchical	ADJ
cana-5074	267	16	gated	gate	VERB
cana-5074	267	17	deep	deep	ADJ
cana-5074	267	18	memory	memory	NOUN
cana-5074	267	19	network	network	NOUN
cana-5074	267	20	with	with	ADP
cana-5074	267	21	position	position	NOUN
cana-5074	267	22	-	-	PUNCT
cana-5074	267	23	aware	aware	ADJ
cana-5074	267	24	for	for	ADP
cana-5074	267	25	aspect	aspect	NOUN
cana-5074	267	26	-	-	PUNCT
cana-5074	267	27	based	base	VERB
cana-5074	267	28	sentiment	sentiment	NOUN
cana-5074	267	29	analysis	analysis	NOUN
cana-5074	267	30	.	.	PUNCT
cana-5074	268	1	ieee	ieee	NOUN
cana-5074	268	2	access	access	NOUN
cana-5074	268	3	8:136340–136347	8:136340–136347	PROPN
cana-5074	269	1	[	[	X
cana-5074	269	2	29	29	NUM
cana-5074	269	3	]	]	X
cana-5074	269	4	jiang	jiang	PROPN
cana-5074	269	5	t	t	PROPN
cana-5074	269	6	,	,	PUNCT
cana-5074	269	7	wang	wang	PROPN
cana-5074	269	8	j	j	PROPN
cana-5074	269	9	,	,	PUNCT
cana-5074	269	10	liu	liu	PROPN
cana-5074	269	11	z	z	PROPN
cana-5074	269	12	,	,	PUNCT
cana-5074	269	13	ling	ling	PROPN
cana-5074	269	14	y	y	PROPN
cana-5074	269	15	(	(	PUNCT
cana-5074	269	16	2020	2020	NUM
cana-5074	269	17	)	)	PUNCT
cana-5074	269	18	fusion	fusion	NOUN
cana-5074	269	19	-	-	PUNCT
cana-5074	269	20	extraction	extraction	NOUN
cana-5074	269	21	network	network	NOUN
cana-5074	269	22	for	for	ADP
cana-5074	269	23	multimodal	multimodal	ADJ
cana-5074	269	24	sentiment	sentiment	NOUN
cana-5074	269	25	analysis	analysis	NOUN
cana-5074	269	26	.	.	PUNCT
cana-5074	270	1	[	[	X
cana-5074	270	2	30	30	NUM
cana-5074	270	3	]	]	X
cana-5074	270	4	pacific	pacific	PROPN
cana-5074	270	5	-	-	PUNCT
cana-5074	270	6	asia	asia	PROPN
cana-5074	270	7	conference	conference	NOUN
cana-5074	270	8	on	on	ADP
cana-5074	270	9	knowledge	knowledge	NOUN
cana-5074	270	10	discovery	discovery	PROPN
cana-5074	270	11	and	and	CCONJ
cana-5074	270	12	data	datum	NOUN
cana-5074	270	13	mining	mining	NOUN
cana-5074	270	14	.	.	PUNCT
cana-5074	271	1	springer	springer	PROPN
cana-5074	271	2	,	,	PUNCT
cana-5074	271	3	cham	cham	PROPN
cana-5074	271	4	,	,	PUNCT
cana-5074	271	5	pp	pp	ADP
cana-5074	271	6	785–797	785–797	NUM
cana-5074	271	7	[	[	X
cana-5074	271	8	31	31	NUM
cana-5074	271	9	]	]	PUNCT
cana-5074	271	10	jin	jin	NOUN
cana-5074	271	11	n	n	PROPN
cana-5074	271	12	,	,	PUNCT
cana-5074	271	13	wu	wu	PROPN
cana-5074	271	14	j	j	PROPN
cana-5074	271	15	,	,	PUNCT
cana-5074	271	16	ma	ma	PROPN
cana-5074	271	17	x	x	PROPN
cana-5074	271	18	,	,	PUNCT
cana-5074	271	19	yan	yan	PROPN
cana-5074	271	20	k	k	PROPN
cana-5074	271	21	,	,	PUNCT
cana-5074	271	22	mo	mo	PROPN
cana-5074	271	23	y	y	PROPN
cana-5074	271	24	(	(	PUNCT
cana-5074	271	25	2020	2020	NUM
cana-5074	271	26	)	)	PUNCT
cana-5074	271	27	multi	multi	ADJ
cana-5074	271	28	-	-	ADJ
cana-5074	271	29	task	task	ADJ
cana-5074	271	30	learning	learn	VERB
cana-5074	271	31	model	model	NOUN
cana-5074	271	32	based	base	VERB
cana-5074	271	33	on	on	ADP
cana-5074	271	34	multi	multi	ADJ
cana-5074	271	35	-	-	ADJ
cana-5074	271	36	scale	scale	ADJ
cana-5074	271	37	cnn	cnn	NOUN
cana-5074	271	38	and	and	CCONJ
cana-5074	271	39	lstm	lstm	NOUN
cana-5074	271	40	for	for	ADP
cana-5074	271	41	sentiment	sentiment	NOUN
cana-5074	271	42	classification	classification	NOUN
cana-5074	271	43	.	.	PUNCT
cana-5074	272	1	ieee	ieee	NOUN
cana-5074	272	2	access	access	NOUN
cana-5074	272	3	8:77060–77072	8:77060–77072	PROPN
cana-5074	272	4	[	[	X
cana-5074	272	5	32	32	NUM
cana-5074	272	6	]	]	PUNCT
cana-5074	272	7	josiassen	josiassen	NOUN
cana-5074	272	8	a	a	PRON
cana-5074	272	9	,	,	PUNCT
cana-5074	272	10	assaf	assaf	PROPN
cana-5074	272	11	ag	ag	PROPN
cana-5074	272	12	,	,	PUNCT
cana-5074	272	13	cvelbar	cvelbar	NOUN
cana-5074	272	14	lk	lk	PROPN
cana-5074	272	15	(	(	PUNCT
cana-5074	272	16	2014	2014	NUM
cana-5074	272	17	)	)	PUNCT
cana-5074	272	18	crm	crm	NOUN
cana-5074	272	19	and	and	CCONJ
cana-5074	272	20	the	the	DET
cana-5074	272	21	bottom	bottom	ADJ
cana-5074	272	22	line	line	NOUN
cana-5074	272	23	:	:	PUNCT
cana-5074	272	24	do	do	AUX
cana-5074	272	25	all	all	DET
cana-5074	272	26	crm	crm	NOUN
cana-5074	272	27	dimensions	dimension	NOUN
cana-5074	272	28	affect	affect	VERB
cana-5074	272	29	firm	firm	ADJ
cana-5074	272	30	performance	performance	NOUN
cana-5074	272	31	?	?	PUNCT
cana-5074	273	1	int	int	PROPN
cana-5074	274	1	j	j	PROPN
cana-5074	274	2	hosp	hosp	PROPN
cana-5074	274	3	manag	manag	VERB
cana-5074	274	4	36:130–136	36:130–136	PROPN
cana-5074	274	5	.	.	PUNCT
cana-5074	275	1	https://doi.org/10.1016/j.ijhm.2013.08.005	https://doi.org/10.1016/j.ijhm.2013.08.005	PROPN
cana-5074	275	2	[	[	X
cana-5074	275	3	33	33	NUM
cana-5074	275	4	]	]	AUX
cana-5074	275	5	kabra	kabra	PROPN
cana-5074	275	6	a	a	PROPN
cana-5074	275	7	,	,	PUNCT
cana-5074	275	8	shrawne	shrawne	PROPN
cana-5074	275	9	s	s	X
cana-5074	275	10	(	(	PUNCT
cana-5074	275	11	2020	2020	NUM
cana-5074	275	12	)	)	PUNCT
cana-5074	275	13	location	location	NOUN
cana-5074	275	14	-	-	PUNCT
cana-5074	275	15	wise	wise	ADJ
cana-5074	275	16	news	news	NOUN
cana-5074	275	17	headlines	headline	VERB
cana-5074	275	18	classification	classification	NOUN
cana-5074	275	19	and	and	CCONJ
cana-5074	275	20	sentiment	sentiment	NOUN
cana-5074	275	21	analysis	analysis	NOUN
cana-5074	275	22	:	:	PUNCT
cana-5074	275	23	a	a	DET
cana-5074	275	24	deep	deep	ADJ
cana-5074	275	25	learning	learning	NOUN
cana-5074	275	26	approach	approach	NOUN
cana-5074	275	27	.	.	PUNCT
cana-5074	276	1	international	international	ADJ
cana-5074	276	2	conference	conference	NOUN
cana-5074	276	3	on	on	ADP
cana-5074	276	4	ıntelligent	ıntelligent	NOUN
cana-5074	276	5	computing	computing	NOUN
cana-5074	276	6	and	and	CCONJ
cana-5074	276	7	smart	smart	ADJ
cana-5074	276	8	communication	communication	NOUN
cana-5074	276	9	2019	2019	NUM
cana-5074	276	10	.	.	PUNCT
cana-5074	277	1	springer	springer	NOUN
cana-5074	277	2	,	,	PUNCT
cana-5074	277	3	singapore	singapore	PROPN
cana-5074	277	4	,	,	PUNCT
cana-5074	277	5	pp	pp	PROPN
cana-5074	277	6	383–391	383–391	NUM
cana-5074	277	7	[	[	SYM
cana-5074	277	8	34	34	NUM
cana-5074	277	9	]	]	X
cana-5074	277	10	kamal	kamal	PROPN
cana-5074	277	11	a	a	DET
cana-5074	277	12	(	(	PUNCT
cana-5074	277	13	2013	2013	NUM
cana-5074	277	14	)	)	PUNCT
cana-5074	277	15	subjectivity	subjectivity	NOUN
cana-5074	277	16	classification	classification	NOUN
cana-5074	277	17	using	use	VERB
cana-5074	277	18	machine	machine	NOUN
cana-5074	277	19	learning	learn	VERB
cana-5074	277	20	techniques	technique	NOUN
cana-5074	277	21	for	for	ADP
cana-5074	277	22	mining	mining	NOUN
cana-5074	277	23	feature	feature	NOUN
cana-5074	277	24	-	-	PUNCT
cana-5074	277	25	opinion	opinion	NOUN
cana-5074	277	26	pairs	pair	NOUN
cana-5074	277	27	from	from	ADP
cana-5074	277	28	web	web	NOUN
cana-5074	277	29	opinion	opinion	NOUN
cana-5074	277	30	sources	source	NOUN
cana-5074	277	31	10(5):191–200	10(5):191–200	PROPN
cana-5074	278	1	[	[	X
cana-5074	278	2	35	35	NUM
cana-5074	278	3	]	]	X
cana-5074	278	4	kamal	kamal	PROPN
cana-5074	278	5	n	n	CCONJ
cana-5074	278	6	,	,	PUNCT
cana-5074	278	7	andrew	andrew	PROPN
cana-5074	278	8	m	m	PROPN
cana-5074	278	9	,	,	PUNCT
cana-5074	278	10	tom	tom	PROPN
cana-5074	278	11	m	m	PROPN
cana-5074	278	12	(	(	PUNCT
cana-5074	278	13	2006	2006	NUM
cana-5074	278	14	)	)	PUNCT
cana-5074	278	15	semi	semi	ADJ
cana-5074	278	16	-	-	ADJ
cana-5074	278	17	supervised	supervised	ADJ
cana-5074	278	18	text	text	NOUN
cana-5074	278	19	classification	classification	NOUN
cana-5074	278	20	using	use	VERB
cana-5074	278	21	em	em	PRON
cana-5074	278	22	.	.	PUNCT
cana-5074	279	1	in	in	ADP
cana-5074	279	2	:	:	PUNCT
cana-5074	279	3	chapelle	chapelle	PROPN
cana-5074	279	4	o	o	PROPN
cana-5074	279	5	,	,	PUNCT
cana-5074	279	6	scholkopf	scholkopf	PROPN
cana-5074	279	7	b	b	PROPN
cana-5074	279	8	,	,	PUNCT
cana-5074	279	9	zien	zien	PROPN
cana-5074	279	10	a	a	DET
cana-5074	279	11	(	(	PUNCT
cana-5074	279	12	eds	ed	NOUN
cana-5074	279	13	)	)	PUNCT
cana-5074	279	14	semi	semi	ADJ
cana-5074	279	15	-	-	ADJ
cana-5074	279	16	supervised	supervised	ADJ
cana-5074	279	17	learning	learning	NOUN
cana-5074	279	18	.	.	PUNCT
cana-5074	280	1	the	the	DET
cana-5074	280	2	mit	mit	PROPN
cana-5074	280	3	press	press	PROPN
cana-5074	280	4	,	,	PUNCT
cana-5074	280	5	cambridge	cambridge	PROPN
cana-5074	280	6	,	,	PUNCT
cana-5074	280	7	pp	pp	ADP
cana-5074	280	8	32–55	32–55	NOUN
cana-5074	280	9	.	.	PUNCT
cana-5074	281	1	https://	https://	PROPN
cana-5074	281	2	doi.org/10.7551/mitpress/9780262033589.003.0003	doi.org/10.7551/mitpress/9780262033589.003.0003	PROPN
cana-5074	281	3	[	[	X
cana-5074	281	4	36	36	NUM
cana-5074	281	5	]	]	X
cana-5074	281	6	kansara	kansara	PROPN
cana-5074	281	7	d	d	PROPN
cana-5074	281	8	,	,	PUNCT
cana-5074	281	9	sawant	sawant	PROPN
cana-5074	281	10	v	v	PROPN
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cana-5074	281	12	2020	2020	NUM
cana-5074	281	13	)	)	PUNCT
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cana-5074	281	15	of	of	ADP
cana-5074	281	16	traditional	traditional	ADJ
cana-5074	281	17	machine	machine	NOUN
cana-5074	281	18	learning	learning	NOUN
cana-5074	281	19	and	and	CCONJ
cana-5074	281	20	deep	deep	ADJ
cana-5074	281	21	learning	learning	NOUN
cana-5074	281	22	approaches	approach	NOUN
cana-5074	281	23	for	for	ADP
cana-5074	281	24	sentiment	sentiment	NOUN
cana-5074	281	25	analysis	analysis	NOUN
cana-5074	281	26	.	.	PUNCT
cana-5074	282	1	advanced	advanced	ADJ
cana-5074	282	2	computing	computing	NOUN
cana-5074	282	3	technologies	technology	NOUN
cana-5074	282	4	and	and	CCONJ
cana-5074	282	5	applications	application	NOUN
cana-5074	282	6	.	.	PUNCT
cana-5074	283	1	springer	springer	PROPN
cana-5074	283	2	,	,	PUNCT
cana-5074	283	3	singapore	singapore	PROPN
cana-5074	283	4	,	,	PUNCT
cana-5074	283	5	pp	pp	PROPN
cana-5074	284	1	365–377	365–377	NUM
cana-5074	284	2	[	[	SYM
cana-5074	284	3	37	37	NUM
cana-5074	284	4	]	]	X
cana-5074	284	5	karimpour	karimpour	PROPN
cana-5074	284	6	j	j	PROPN
cana-5074	284	7	,	,	PUNCT
cana-5074	284	8	noroozi	noroozi	PROPN
cana-5074	284	9	aa	aa	PROPN
cana-5074	284	10	,	,	PUNCT
cana-5074	284	11	alizadeh	alizadeh	PROPN
cana-5074	284	12	s	s	PART
cana-5074	284	13	(	(	PUNCT
cana-5074	284	14	2012	2012	NUM
cana-5074	284	15	)	)	PUNCT
cana-5074	284	16	web	web	NOUN
cana-5074	284	17	spam	spam	NOUN
cana-5074	284	18	detection	detection	NOUN
cana-5074	284	19	by	by	ADP
cana-5074	284	20	learning	learn	VERB
cana-5074	284	21	from	from	ADP
cana-5074	284	22	small	small	ADJ
cana-5074	284	23	labeled	label	VERB
cana-5074	284	24	samples	sample	NOUN
cana-5074	284	25	.	.	PUNCT
cana-5074	285	1	int	int	NOUN
cana-5074	285	2	j	j	PROPN
cana-5074	285	3	comput	comput	NOUN
cana-5074	285	4	ppl	ppl	PROPN
cana-5074	285	5	50(21):1–5	50(21):1–5	NUM
cana-5074	285	6	.	.	PUNCT
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cana-5074	287	2	38	38	NUM
cana-5074	287	3	]	]	PUNCT
cana-5074	287	4	schouten	schouten	PROPN
cana-5074	287	5	k	k	PROPN
cana-5074	287	6	,	,	PUNCT
cana-5074	287	7	frasincar	frasincar	NOUN
cana-5074	287	8	f	f	PROPN
cana-5074	287	9	(	(	PUNCT
cana-5074	287	10	2016	2016	NUM
cana-5074	287	11	)	)	PUNCT
cana-5074	287	12	survey	survey	NOUN
cana-5074	287	13	on	on	ADP
cana-5074	287	14	aspect	aspect	NOUN
cana-5074	287	15	-	-	PUNCT
cana-5074	287	16	level	level	NOUN
cana-5074	287	17	sentiment	sentiment	NOUN
cana-5074	287	18	analysis	analysis	NOUN
cana-5074	287	19	.	.	PUNCT
cana-5074	288	1	ieee	ieee	PROPN
cana-5074	288	2	trans	trans	PROPN
cana-5074	288	3	knowl	knowl	PROPN
cana-5074	288	4	data	data	PROPN
cana-5074	288	5	eng	eng	PROPN
cana-5074	288	6	28(3):813–830	28(3):813–830	PROPN
cana-5074	288	7	.	.	PUNCT
cana-5074	289	1	https://doi.org/10.1109/tkde.2015.2485209	https://doi.org/10.1109/tkde.2015.2485209	PROPN
cana-5074	290	1	[	[	X
cana-5074	290	2	39	39	NUM
cana-5074	290	3	]	]	X
cana-5074	290	4	seo	seo	NOUN
cana-5074	290	5	s	s	PROPN
cana-5074	290	6	,	,	PUNCT
cana-5074	290	7	kim	kim	PROPN
cana-5074	290	8	c	c	PROPN
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cana-5074	290	10	kim	kim	PROPN
cana-5074	290	11	h	h	PROPN
cana-5074	290	12	,	,	PUNCT
cana-5074	290	13	mo	mo	PROPN
cana-5074	290	14	k	k	PROPN
cana-5074	290	15	,	,	PUNCT
cana-5074	290	16	kang	kang	PROPN
cana-5074	290	17	p	p	PROPN
cana-5074	290	18	(	(	PUNCT
cana-5074	290	19	2020	2020	NUM
cana-5074	290	20	)	)	PUNCT
cana-5074	290	21	comparative	comparative	ADJ
cana-5074	290	22	study	study	NOUN
cana-5074	290	23	of	of	ADP
cana-5074	290	24	deep	deep	ADJ
cana-5074	290	25	learning	learning	NOUN
cana-5074	290	26	-	-	PUNCT
cana-5074	290	27	based	base	VERB
cana-5074	290	28	sentiment	sentiment	NOUN
cana-5074	290	29	classification	classification	NOUN
cana-5074	290	30	.	.	PUNCT
cana-5074	291	1	ieee	ieee	NOUN
cana-5074	291	2	access	access	NOUN
cana-5074	291	3	8:6861–6875	8:6861–6875	PRON
cana-5074	291	4	[	[	X
cana-5074	291	5	40	40	NUM
cana-5074	291	6	]	]	PUNCT
cana-5074	291	7	shakeel	shakeel	PROPN
cana-5074	291	8	mh	mh	PROPN
cana-5074	291	9	,	,	PUNCT
cana-5074	291	10	karim	karim	PROPN
cana-5074	291	11	a	a	DET
cana-5074	291	12	(	(	PUNCT
cana-5074	291	13	2020	2020	NUM
cana-5074	291	14	)	)	PUNCT
cana-5074	291	15	adapting	adapt	VERB
cana-5074	291	16	deep	deep	ADJ
cana-5074	291	17	learning	learning	NOUN
cana-5074	291	18	for	for	ADP
cana-5074	291	19	sentiment	sentiment	NOUN
cana-5074	291	20	classification	classification	NOUN
cana-5074	291	21	of	of	ADP
cana-5074	291	22	codeswitched	codeswitche	VERB
cana-5074	291	23	informal	informal	ADJ
cana-5074	291	24	short	short	ADJ
cana-5074	291	25	text	text	NOUN
cana-5074	291	26	.	.	PUNCT
cana-5074	292	1	in	in	ADP
cana-5074	292	2	:	:	PUNCT
cana-5074	292	3	proceedings	proceeding	NOUN
cana-5074	292	4	of	of	ADP
cana-5074	292	5	the	the	DET
cana-5074	292	6	35th	35th	ADJ
cana-5074	292	7	annual	annual	ADJ
cana-5074	292	8	acm	acm	NOUN
cana-5074	292	9	symposium	symposium	NOUN
cana-5074	292	10	on	on	ADP
cana-5074	292	11	applied	apply	VERB
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cana-5074	292	13	.	.	PUNCT
cana-5074	293	1	pp	pp	ADP
cana-5074	293	2	903–906	903–906	NUM
cana-5074	293	3	[	[	SYM
cana-5074	293	4	41	41	NUM
cana-5074	293	5	]	]	X
cana-5074	293	6	sharma	sharma	PROPN
cana-5074	293	7	ss	ss	PROPN
cana-5074	293	8	,	,	PUNCT
cana-5074	293	9	dutta	dutta	PROPN
cana-5074	293	10	g	g	PROPN
cana-5074	293	11	(	(	PUNCT
cana-5074	293	12	2018	2018	NUM
cana-5074	293	13	)	)	PUNCT
cana-5074	293	14	polarity	polarity	NOUN
cana-5074	293	15	determination	determination	NOUN
cana-5074	293	16	of	of	ADP
cana-5074	293	17	movie	movie	NOUN
cana-5074	293	18	reviews	review	NOUN
cana-5074	293	19	:	:	PUNCT
cana-5074	293	20	a	a	DET
cana-5074	293	21	systematic	systematic	ADJ
cana-5074	293	22	literature	literature	NOUN
cana-5074	293	23	review	review	NOUN
cana-5074	293	24	.	.	PUNCT
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cana-5074	295	1	6:12	6:12	NUM
cana-5074	295	2	[	[	X
cana-5074	295	3	42	42	NUM
cana-5074	295	4	]	]	PUNCT
cana-5074	295	5	shayaa	shayaa	PROPN
cana-5074	295	6	s	s	PROPN
cana-5074	295	7	,	,	PUNCT
cana-5074	295	8	jaafar	jaafar	PROPN
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cana-5074	295	10	,	,	PUNCT
cana-5074	295	11	bahri	bahri	PROPN
cana-5074	295	12	s	s	PROPN
cana-5074	295	13	,	,	PUNCT
cana-5074	295	14	sulaiman	sulaiman	PROPN
cana-5074	295	15	a	a	NOUN
cana-5074	295	16	,	,	PUNCT
cana-5074	295	17	seuk	seuk	NOUN
cana-5074	295	18	wai	wai	PROPN
cana-5074	295	19	p	p	PROPN
cana-5074	295	20	,	,	PUNCT
cana-5074	295	21	wai	wai	PROPN
cana-5074	295	22	chung	chung	PROPN
cana-5074	295	23	y	y	PROPN
cana-5074	295	24	,	,	PUNCT
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cana-5074	295	30	garadi	garadi	PROPN
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cana-5074	295	33	2018	2018	NUM
cana-5074	295	34	)	)	PUNCT
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cana-5074	295	40	:	:	PUNCT
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cana-5074	295	42	,	,	PUNCT
cana-5074	295	43	applications	application	NOUN
cana-5074	295	44	,	,	PUNCT
cana-5074	295	45	and	and	CCONJ
cana-5074	295	46	open	open	ADJ
cana-5074	295	47	challenges	challenge	NOUN
cana-5074	295	48	.	.	PUNCT
cana-5074	296	1	ieee	ieee	NOUN
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cana-5074	296	4	–	–	PUNCT
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cana-5074	297	1	https://doi.org/10.1109/access.2018.2851311	https://doi.org/10.1109/access.2018.2851311	NOUN
cana-5074	297	2	(	(	PUNCT
cana-5074	297	3	scopus	scopus	PROPN
cana-5074	297	4	)	)	PUNCT
cana-5074	298	1	[	[	X
cana-5074	298	2	43	43	NUM
cana-5074	298	3	]	]	PUNCT
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cana-5074	298	5	-	-	PUNCT
cana-5074	298	6	mehr	mehr	NOUN
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cana-5074	298	10	)	)	PUNCT
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cana-5074	298	16	sentiment	sentiment	VERB
cana-5074	298	17	analysis	analysis	NOUN
cana-5074	298	18	of	of	ADP
cana-5074	298	19	movie	movie	NOUN
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cana-5074	298	21	.	.	PUNCT
cana-5074	299	1	https://doi.org/10.1016/j.ijhm.2013.08.005	https://doi.org/10.1016/j.ijhm.2013.08.005	PROPN
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cana-5074	299	4	https://doi.org/10.5120/7924-0993	https://doi.org/10.5120/7924-0993	PROPN
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cana-5074	299	7	communications	communication	NOUN
cana-5074	299	8	on	on	ADP
cana-5074	299	9	applied	apply	VERB
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cana-5074	299	11	analysis	analysis	NOUN
cana-5074	299	12	issn	issn	NOUN
cana-5074	299	13	:	:	PUNCT
cana-5074	299	14	1074	1074	NUM
cana-5074	299	15	-	-	PUNCT
cana-5074	299	16	133x	133x	NUM
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cana-5074	300	4	)	)	PUNCT
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cana-5074	301	9	,	,	PUNCT
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cana-5074	301	17	)	)	PUNCT
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cana-5074	301	28	44	44	NUM
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cana-5074	302	3	]	]	X
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cana-5074	302	14	)	)	PUNCT
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cana-5074	303	1	acm	acm	PROPN
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cana-5074	305	14	)	)	PUNCT
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cana-5074	306	14	.	.	PUNCT
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cana-5074	308	3	]	]	SYM
cana-5074	308	4	socher	socher	NOUN
cana-5074	308	5	r	r	NOUN
cana-5074	308	6	,	,	PUNCT
cana-5074	308	7	perelygin	perelygin	VERB
cana-5074	308	8	a	a	PRON
cana-5074	308	9	,	,	PUNCT
cana-5074	308	10	wu	wu	PROPN
cana-5074	308	11	j	j	PROPN
cana-5074	308	12	,	,	PUNCT
cana-5074	308	13	chuang	chuang	PROPN
cana-5074	308	14	j	j	PROPN
cana-5074	308	15	,	,	PUNCT
cana-5074	308	16	manning	man	VERB
cana-5074	308	17	cd	cd	PROPN
cana-5074	308	18	,	,	PUNCT
cana-5074	308	19	ng	ng	PROPN
cana-5074	308	20	ay	ay	PROPN
cana-5074	308	21	,	,	PUNCT
cana-5074	308	22	potts	potts	PROPN
cana-5074	308	23	c	c	X
cana-5074	308	24	(	(	PUNCT
cana-5074	308	25	2013	2013	NUM
cana-5074	308	26	)	)	PUNCT
cana-5074	308	27	recursive	recursive	ADJ
cana-5074	308	28	deep	deep	ADJ
cana-5074	308	29	models	model	NOUN
cana-5074	308	30	for	for	ADP
cana-5074	308	31	semantic	semantic	ADJ
cana-5074	308	32	compositionality	compositionality	NOUN
cana-5074	308	33	over	over	ADP
cana-5074	308	34	a	a	DET
cana-5074	308	35	sentiment	sentiment	NOUN
cana-5074	308	36	treebank	treebank	VERB
cana-5074	308	37	.	.	PUNCT
cana-5074	309	1	in	in	ADP
cana-5074	309	2	:	:	PUNCT
cana-5074	309	3	proceedings	proceeding	NOUN
cana-5074	309	4	of	of	ADP
cana-5074	309	5	the	the	DET
cana-5074	309	6	2013	2013	NUM
cana-5074	309	7	conference	conference	NOUN
cana-5074	309	8	on	on	ADP
cana-5074	309	9	empirical	empirical	ADJ
cana-5074	309	10	methods	method	NOUN
cana-5074	309	11	in	in	ADP
cana-5074	309	12	natural	natural	ADJ
cana-5074	309	13	language	language	NOUN
cana-5074	309	14	processing	processing	NOUN
cana-5074	309	15	.	.	PUNCT
cana-5074	310	1	pp	pp	ADP
cana-5074	310	2	1631–1642	1631–1642	NUM
cana-5074	310	3	[	[	PUNCT
cana-5074	310	4	48	48	NUM
cana-5074	310	5	]	]	SYM
cana-5074	310	6	dang	dang	PROPN
cana-5074	310	7	nc	nc	PROPN
cana-5074	310	8	,	,	PUNCT
cana-5074	310	9	moreno	moreno	PROPN
cana-5074	310	10	-	-	PUNCT
cana-5074	310	11	garcía	garcía	PROPN
cana-5074	310	12	mn	mn	PROPN
cana-5074	310	13	,	,	PUNCT
cana-5074	310	14	de	de	PROPN
cana-5074	310	15	la	la	PROPN
cana-5074	310	16	prieta	prieta	PROPN
cana-5074	310	17	f	f	PROPN
cana-5074	310	18	(	(	PUNCT
cana-5074	310	19	2020	2020	NUM
cana-5074	310	20	)	)	PUNCT
cana-5074	310	21	sentiment	sentiment	NOUN
cana-5074	310	22	analysis	analysis	NOUN
cana-5074	310	23	based	base	VERB
cana-5074	310	24	on	on	ADP
cana-5074	310	25	deep	deep	ADJ
cana-5074	310	26	learning	learning	NOUN
cana-5074	310	27	:	:	PUNCT
cana-5074	310	28	a	a	DET
cana-5074	310	29	comparative	comparative	ADJ
cana-5074	310	30	study	study	NOUN
cana-5074	310	31	.	.	PUNCT
cana-5074	311	1	electronics	electronic	NOUN
cana-5074	311	2	9(3):483	9(3):483	NUM
cana-5074	311	3	https://doi.org/10.1145/2932708	https://doi.org/10.1145/2932708	NUM