id	sid	tid	token	lemma	pos
cana-3473	1	1	advances	advance	NOUN
cana-3473	1	2	in	in	ADP
cana-3473	1	3	nonlinear	nonlinear	ADJ
cana-3473	1	4	variational	variational	ADJ
cana-3473	1	5	inequalities	inequality	NOUN
cana-3473	1	6	issn	issn	VERB
cana-3473	1	7	:	:	PUNCT
cana-3473	1	8	1092	1092	NUM
cana-3473	1	9	-	-	PUNCT
cana-3473	1	10	910x	910x	NUM
cana-3473	1	11	vol	vol	NOUN
cana-3473	1	12	28	28	NUM
cana-3473	1	13	no	no	NOUN
cana-3473	1	14	.	.	PUNCT
cana-3473	2	1	7s	7	NOUN
cana-3473	2	2	(	(	PUNCT
cana-3473	2	3	2025	2025	NUM
cana-3473	2	4	)	)	PUNCT
cana-3473	2	5	664	664	NUM
cana-3473	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3473	2	7	exploring	explore	VERB
cana-3473	2	8	linguistic	linguistic	ADJ
cana-3473	2	9	and	and	CCONJ
cana-3473	2	10	emotional	emotional	ADJ
cana-3473	2	11	models	model	NOUN
cana-3473	2	12	for	for	ADP
cana-3473	2	13	audio	audio	ADJ
cana-3473	2	14	sentiment	sentiment	NOUN
cana-3473	2	15	analysis	analysis	NOUN
cana-3473	2	16	using	use	VERB
cana-3473	2	17	nlp	nlp	PROPN
cana-3473	2	18	1sapna	1sapna	NUM
cana-3473	2	19	sharma	sharma	NOUN
cana-3473	2	20	,	,	PUNCT
cana-3473	2	21	2ritu	2ritu	NUM
cana-3473	2	22	sindhu	sindhu	NOUN
cana-3473	2	23	computer	computer	NOUN
cana-3473	2	24	science	science	NOUN
cana-3473	2	25	and	and	CCONJ
cana-3473	2	26	engineering	engineering	NOUN
cana-3473	2	27	lingayas	lingayas	PROPN
cana-3473	2	28	’s	’s	PART
cana-3473	2	29	vidhyapeeth	vidhyapeeth	PROPN
cana-3473	2	30	faridabad	faridabad	PROPN
cana-3473	2	31	,	,	PUNCT
cana-3473	2	32	india	india	PROPN
cana-3473	2	33	sharmagsapna@gmail.com	sharmagsapna@gmail.com	PROPN
cana-3473	2	34	computer	computer	NOUN
cana-3473	2	35	science	science	NOUN
cana-3473	2	36	and	and	CCONJ
cana-3473	2	37	engineering	engineering	NOUN
cana-3473	2	38	lingayas	lingayas	PROPN
cana-3473	2	39	’s	’s	PART
cana-3473	2	40	vidhyapeeth	vidhyapeeth	PROPN
cana-3473	2	41	faridabad	faridabad	PROPN
cana-3473	2	42	,	,	PUNCT
cana-3473	2	43	india	india	PROPN
cana-3473	2	44	dr.ritusindhu@lingayasvidyapeeth.edu.in	dr.ritusindhu@lingayasvidyapeeth.edu.in	PROPN
cana-3473	2	45	article	article	NOUN
cana-3473	2	46	history	history	NOUN
cana-3473	2	47	:	:	PUNCT
cana-3473	2	48	received	receive	VERB
cana-3473	2	49	:	:	PUNCT
cana-3473	2	50	27	27	NUM
cana-3473	2	51	-	-	SYM
cana-3473	2	52	10	10	NUM
cana-3473	2	53	-	-	PUNCT
cana-3473	2	54	2024	2024	NUM
cana-3473	2	55	revised:11	revised:11	VERB
cana-3473	2	56	-	-	SYM
cana-3473	2	57	11	11	NUM
cana-3473	2	58	-	-	PUNCT
cana-3473	2	59	2024	2024	NUM
cana-3473	2	60	accepted:19	accepted:19	VERB
cana-3473	2	61	-	-	PUNCT
cana-3473	2	62	12	12	NUM
cana-3473	2	63	-	-	PUNCT
cana-3473	2	64	2024	2024	NUM
cana-3473	2	65	abstract	abstract	NOUN
cana-3473	2	66	:	:	PUNCT
cana-3473	2	67	sentiment	sentiment	NOUN
cana-3473	2	68	analysis	analysis	NOUN
cana-3473	2	69	is	be	AUX
cana-3473	2	70	widely	widely	ADV
cana-3473	2	71	used	use	VERB
cana-3473	2	72	to	to	PART
cana-3473	2	73	identify	identify	VERB
cana-3473	2	74	emotions	emotion	NOUN
cana-3473	2	75	and	and	CCONJ
cana-3473	2	76	attitudes	attitude	NOUN
cana-3473	2	77	in	in	ADP
cana-3473	2	78	text	text	NOUN
cana-3473	2	79	.	.	PUNCT
cana-3473	3	1	with	with	ADP
cana-3473	3	2	the	the	DET
cana-3473	3	3	growing	grow	VERB
cana-3473	3	4	popularity	popularity	NOUN
cana-3473	3	5	of	of	ADP
cana-3473	3	6	audio	audio	NOUN
cana-3473	3	7	-	-	PUNCT
cana-3473	3	8	based	base	VERB
cana-3473	3	9	social	social	ADJ
cana-3473	3	10	platforms	platform	NOUN
cana-3473	3	11	and	and	CCONJ
cana-3473	3	12	the	the	DET
cana-3473	3	13	significant	significant	ADJ
cana-3473	3	14	rise	rise	NOUN
cana-3473	3	15	in	in	ADP
cana-3473	3	16	spoken	spoken	ADJ
cana-3473	3	17	data	datum	NOUN
cana-3473	3	18	,	,	PUNCT
cana-3473	3	19	sentiment	sentiment	NOUN
cana-3473	3	20	analysis	analysis	NOUN
cana-3473	3	21	in	in	ADP
cana-3473	3	22	the	the	DET
cana-3473	3	23	auditory	auditory	ADJ
cana-3473	3	24	domain	domain	NOUN
cana-3473	3	25	has	have	AUX
cana-3473	3	26	become	become	VERB
cana-3473	3	27	increasingly	increasingly	ADV
cana-3473	3	28	important	important	ADJ
cana-3473	3	29	.	.	PUNCT
cana-3473	4	1	this	this	DET
cana-3473	4	2	paper	paper	NOUN
cana-3473	4	3	explores	explore	NOUN
cana-3473	4	4	sentiment	sentiment	VERB
cana-3473	4	5	analysis	analysis	NOUN
cana-3473	4	6	in	in	ADP
cana-3473	4	7	audio	audio	ADJ
cana-3473	4	8	data	datum	NOUN
cana-3473	4	9	using	use	VERB
cana-3473	4	10	natural	natural	ADJ
cana-3473	4	11	language	language	NOUN
cana-3473	4	12	processing	processing	NOUN
cana-3473	4	13	(	(	PUNCT
cana-3473	4	14	nlp	nlp	NOUN
cana-3473	4	15	)	)	PUNCT
cana-3473	4	16	techniques	technique	NOUN
cana-3473	4	17	.	.	PUNCT
cana-3473	5	1	we	we	PRON
cana-3473	5	2	propose	propose	VERB
cana-3473	5	3	a	a	DET
cana-3473	5	4	novel	novel	ADJ
cana-3473	5	5	method	method	NOUN
cana-3473	5	6	for	for	ADP
cana-3473	5	7	extracting	extract	VERB
cana-3473	5	8	linguistic	linguistic	ADJ
cana-3473	5	9	features	feature	NOUN
cana-3473	5	10	and	and	CCONJ
cana-3473	5	11	developing	develop	VERB
cana-3473	5	12	emotional	emotional	ADJ
cana-3473	5	13	models	model	NOUN
cana-3473	5	14	tailored	tailor	VERB
cana-3473	5	15	to	to	ADP
cana-3473	5	16	audio	audio	NOUN
cana-3473	5	17	-	-	PUNCT
cana-3473	5	18	based	base	VERB
cana-3473	5	19	sentiment	sentiment	NOUN
cana-3473	5	20	.	.	PUNCT
cana-3473	6	1	in	in	ADP
cana-3473	6	2	our	our	PRON
cana-3473	6	3	experiments	experiment	NOUN
cana-3473	6	4	,	,	PUNCT
cana-3473	6	5	we	we	PRON
cana-3473	6	6	compare	compare	VERB
cana-3473	6	7	deep	deep	ADJ
cana-3473	6	8	learning	learning	NOUN
cana-3473	6	9	models	model	NOUN
cana-3473	6	10	with	with	ADP
cana-3473	6	11	traditional	traditional	ADJ
cana-3473	6	12	nlp	nlp	NOUN
cana-3473	6	13	techniques	technique	NOUN
cana-3473	6	14	,	,	PUNCT
cana-3473	6	15	using	use	VERB
cana-3473	6	16	a	a	DET
cana-3473	6	17	unique	unique	ADJ
cana-3473	6	18	dataset	dataset	NOUN
cana-3473	6	19	to	to	PART
cana-3473	6	20	validate	validate	VERB
cana-3473	6	21	our	our	PRON
cana-3473	6	22	findings	finding	NOUN
cana-3473	6	23	.	.	PUNCT
cana-3473	7	1	sentiment	sentiment	NOUN
cana-3473	7	2	analysis	analysis	NOUN
cana-3473	7	3	,	,	PUNCT
cana-3473	7	4	also	also	ADV
cana-3473	7	5	known	know	VERB
cana-3473	7	6	as	as	ADP
cana-3473	7	7	opinion	opinion	NOUN
cana-3473	7	8	mining	mining	NOUN
cana-3473	7	9	,	,	PUNCT
cana-3473	7	10	is	be	AUX
cana-3473	7	11	a	a	DET
cana-3473	7	12	key	key	ADJ
cana-3473	7	13	subfield	subfield	NOUN
cana-3473	7	14	of	of	ADP
cana-3473	7	15	nlp	nlp	NOUN
cana-3473	7	16	,	,	PUNCT
cana-3473	7	17	focusing	focus	VERB
cana-3473	7	18	on	on	ADP
cana-3473	7	19	extracting	extract	VERB
cana-3473	7	20	subjective	subjective	ADJ
cana-3473	7	21	information	information	NOUN
cana-3473	7	22	from	from	ADP
cana-3473	7	23	textual	textual	ADJ
cana-3473	7	24	data	datum	NOUN
cana-3473	7	25	.	.	PUNCT
cana-3473	8	1	the	the	DET
cana-3473	8	2	surge	surge	NOUN
cana-3473	8	3	of	of	ADP
cana-3473	8	4	user	user	NOUN
cana-3473	8	5	-	-	PUNCT
cana-3473	8	6	generated	generate	VERB
cana-3473	8	7	content	content	NOUN
cana-3473	8	8	on	on	ADP
cana-3473	8	9	online	online	ADJ
cana-3473	8	10	platforms	platform	NOUN
cana-3473	8	11	like	like	ADP
cana-3473	8	12	social	social	ADJ
cana-3473	8	13	media	medium	NOUN
cana-3473	8	14	,	,	PUNCT
cana-3473	8	15	blogs	blog	NOUN
cana-3473	8	16	,	,	PUNCT
cana-3473	8	17	and	and	CCONJ
cana-3473	8	18	product	product	NOUN
cana-3473	8	19	reviews	review	NOUN
cana-3473	8	20	has	have	AUX
cana-3473	8	21	amplified	amplify	VERB
cana-3473	8	22	the	the	DET
cana-3473	8	23	importance	importance	NOUN
cana-3473	8	24	of	of	ADP
cana-3473	8	25	sentiment	sentiment	NOUN
cana-3473	8	26	analysis	analysis	NOUN
cana-3473	8	27	for	for	ADP
cana-3473	8	28	understanding	understand	VERB
cana-3473	8	29	public	public	ADJ
cana-3473	8	30	opinion	opinion	NOUN
cana-3473	8	31	and	and	CCONJ
cana-3473	8	32	consumer	consumer	NOUN
cana-3473	8	33	behavior	behavior	NOUN
cana-3473	8	34	.	.	PUNCT
cana-3473	9	1	this	this	DET
cana-3473	9	2	paper	paper	NOUN
cana-3473	9	3	provides	provide	VERB
cana-3473	9	4	an	an	DET
cana-3473	9	5	overview	overview	NOUN
cana-3473	9	6	of	of	ADP
cana-3473	9	7	various	various	ADJ
cana-3473	9	8	approaches	approach	NOUN
cana-3473	9	9	used	use	VERB
cana-3473	9	10	in	in	ADP
cana-3473	9	11	sentiment	sentiment	NOUN
cana-3473	9	12	analysis	analysis	NOUN
cana-3473	9	13	,	,	PUNCT
cana-3473	9	14	including	include	VERB
cana-3473	9	15	machine	machine	NOUN
cana-3473	9	16	learning	learning	NOUN
cana-3473	9	17	,	,	PUNCT
cana-3473	9	18	lexicon	lexicon	NOUN
cana-3473	9	19	-	-	PUNCT
cana-3473	9	20	based	base	VERB
cana-3473	9	21	methods	method	NOUN
cana-3473	9	22	,	,	PUNCT
cana-3473	9	23	and	and	CCONJ
cana-3473	9	24	deep	deep	ADJ
cana-3473	9	25	learning	learning	NOUN
cana-3473	9	26	,	,	PUNCT
cana-3473	9	27	highlighting	highlight	VERB
cana-3473	9	28	their	their	PRON
cana-3473	9	29	strengths	strength	NOUN
cana-3473	9	30	and	and	CCONJ
cana-3473	9	31	limitations	limitation	NOUN
cana-3473	9	32	.	.	PUNCT
cana-3473	10	1	we	we	PRON
cana-3473	10	2	discuss	discuss	VERB
cana-3473	10	3	the	the	DET
cana-3473	10	4	trade	trade	NOUN
cana-3473	10	5	-	-	PUNCT
cana-3473	10	6	offs	off	NOUN
cana-3473	10	7	between	between	ADP
cana-3473	10	8	accuracy	accuracy	NOUN
cana-3473	10	9	,	,	PUNCT
cana-3473	10	10	computational	computational	ADJ
cana-3473	10	11	efficiency	efficiency	NOUN
cana-3473	10	12	,	,	PUNCT
cana-3473	10	13	and	and	CCONJ
cana-3473	10	14	interpretability	interpretability	NOUN
cana-3473	10	15	for	for	ADP
cana-3473	10	16	each	each	DET
cana-3473	10	17	approach	approach	NOUN
cana-3473	10	18	,	,	PUNCT
cana-3473	10	19	while	while	SCONJ
cana-3473	10	20	addressing	address	VERB
cana-3473	10	21	challenges	challenge	NOUN
cana-3473	10	22	like	like	ADP
cana-3473	10	23	sarcasm	sarcasm	NOUN
cana-3473	10	24	detection	detection	NOUN
cana-3473	10	25	,	,	PUNCT
cana-3473	10	26	context	context	NOUN
cana-3473	10	27	dependency	dependency	NOUN
cana-3473	10	28	,	,	PUNCT
cana-3473	10	29	and	and	CCONJ
cana-3473	10	30	domain	domain	NOUN
cana-3473	10	31	-	-	PUNCT
cana-3473	10	32	specific	specific	ADJ
cana-3473	10	33	language	language	NOUN
cana-3473	10	34	.	.	PUNCT
cana-3473	11	1	additionally	additionally	ADV
cana-3473	11	2	,	,	PUNCT
cana-3473	11	3	we	we	PRON
cana-3473	11	4	examine	examine	VERB
cana-3473	11	5	recent	recent	ADJ
cana-3473	11	6	advancements	advancement	NOUN
cana-3473	11	7	in	in	ADP
cana-3473	11	8	the	the	DET
cana-3473	11	9	field	field	NOUN
cana-3473	11	10	,	,	PUNCT
cana-3473	11	11	such	such	ADJ
cana-3473	11	12	as	as	ADP
cana-3473	11	13	the	the	DET
cana-3473	11	14	use	use	NOUN
cana-3473	11	15	of	of	ADP
cana-3473	11	16	cross	cross	ADJ
cana-3473	11	17	-	-	ADJ
cana-3473	11	18	sectional	sectional	ADJ
cana-3473	11	19	models	model	NOUN
cana-3473	11	20	and	and	CCONJ
cana-3473	11	21	the	the	DET
cana-3473	11	22	integration	integration	NOUN
cana-3473	11	23	of	of	ADP
cana-3473	11	24	multiple	multiple	ADJ
cana-3473	11	25	data	datum	NOUN
cana-3473	11	26	sources	source	NOUN
cana-3473	11	27	to	to	PART
cana-3473	11	28	provide	provide	VERB
cana-3473	11	29	a	a	DET
cana-3473	11	30	more	more	ADV
cana-3473	11	31	comprehensive	comprehensive	ADJ
cana-3473	11	32	view	view	NOUN
cana-3473	11	33	of	of	ADP
cana-3473	11	34	sentiment	sentiment	NOUN
cana-3473	11	35	.	.	PUNCT
cana-3473	12	1	our	our	PRON
cana-3473	12	2	results	result	NOUN
cana-3473	12	3	demonstrate	demonstrate	VERB
cana-3473	12	4	the	the	DET
cana-3473	12	5	efficiency	efficiency	NOUN
cana-3473	12	6	and	and	CCONJ
cana-3473	12	7	high	high	ADJ
cana-3473	12	8	performance	performance	NOUN
cana-3473	12	9	of	of	ADP
cana-3473	12	10	the	the	DET
cana-3473	12	11	proposed	propose	VERB
cana-3473	12	12	models	model	NOUN
cana-3473	12	13	in	in	ADP
cana-3473	12	14	capturing	capture	VERB
cana-3473	12	15	sentiment	sentiment	NOUN
cana-3473	12	16	from	from	ADP
cana-3473	12	17	audio	audio	ADJ
cana-3473	12	18	data	datum	NOUN
cana-3473	12	19	.	.	PUNCT
cana-3473	13	1	the	the	DET
cana-3473	13	2	study	study	NOUN
cana-3473	13	3	also	also	ADV
cana-3473	13	4	explores	explore	VERB
cana-3473	13	5	the	the	DET
cana-3473	13	6	ethical	ethical	ADJ
cana-3473	13	7	considerations	consideration	NOUN
cana-3473	13	8	,	,	PUNCT
cana-3473	13	9	practical	practical	ADJ
cana-3473	13	10	applications	application	NOUN
cana-3473	13	11	,	,	PUNCT
cana-3473	13	12	and	and	CCONJ
cana-3473	13	13	broader	broad	ADJ
cana-3473	13	14	relevance	relevance	NOUN
cana-3473	13	15	of	of	ADP
cana-3473	13	16	audio	audio	NOUN
cana-3473	13	17	-	-	PUNCT
cana-3473	13	18	based	base	VERB
cana-3473	13	19	sentiment	sentiment	NOUN
cana-3473	13	20	analysis	analysis	NOUN
cana-3473	13	21	across	across	ADP
cana-3473	13	22	media	medium	NOUN
cana-3473	13	23	and	and	CCONJ
cana-3473	13	24	other	other	ADJ
cana-3473	13	25	domains	domain	NOUN
cana-3473	13	26	.	.	PUNCT
cana-3473	14	1	finally	finally	ADV
cana-3473	14	2	,	,	PUNCT
cana-3473	14	3	we	we	PRON
cana-3473	14	4	conclude	conclude	VERB
cana-3473	14	5	by	by	ADP
cana-3473	14	6	discussing	discuss	VERB
cana-3473	14	7	future	future	ADJ
cana-3473	14	8	directions	direction	NOUN
cana-3473	14	9	,	,	PUNCT
cana-3473	14	10	emphasizing	emphasize	VERB
cana-3473	14	11	the	the	DET
cana-3473	14	12	need	need	NOUN
cana-3473	14	13	for	for	ADP
cana-3473	14	14	more	more	ADV
cana-3473	14	15	robust	robust	ADJ
cana-3473	14	16	models	model	NOUN
cana-3473	14	17	capable	capable	ADJ
cana-3473	14	18	of	of	ADP
cana-3473	14	19	handling	handle	VERB
cana-3473	14	20	diverse	diverse	ADJ
cana-3473	14	21	and	and	CCONJ
cana-3473	14	22	complex	complex	ADJ
cana-3473	14	23	data	datum	NOUN
cana-3473	14	24	,	,	PUNCT
cana-3473	14	25	along	along	ADP
cana-3473	14	26	with	with	ADP
cana-3473	14	27	ethical	ethical	ADJ
cana-3473	14	28	considerations	consideration	NOUN
cana-3473	14	29	for	for	ADP
cana-3473	14	30	real	real	ADJ
cana-3473	14	31	-	-	PUNCT
cana-3473	14	32	world	world	NOUN
cana-3473	14	33	applications	application	NOUN
cana-3473	14	34	.	.	PUNCT
cana-3473	15	1	keywords	keyword	NOUN
cana-3473	15	2	:	:	PUNCT
cana-3473	15	3	emotional	emotional	ADJ
cana-3473	15	4	analysis	analysis	NOUN
cana-3473	15	5	,	,	PUNCT
cana-3473	15	6	natural	natural	ADJ
cana-3473	15	7	language	language	NOUN
cana-3473	15	8	processing	processing	NOUN
cana-3473	15	9	(	(	PUNCT
cana-3473	15	10	nlp	nlp	NOUN
cana-3473	15	11	)	)	PUNCT
cana-3473	15	12	,	,	PUNCT
cana-3473	15	13	emotional	emotional	ADJ
cana-3473	15	14	intelligence	intelligence	NOUN
cana-3473	15	15	,	,	PUNCT
cana-3473	15	16	language	language	NOUN
cana-3473	15	17	processing	processing	NOUN
cana-3473	15	18	,	,	PUNCT
cana-3473	15	19	speech	speech	NOUN
cana-3473	15	20	analysis	analysis	NOUN
cana-3473	15	21	,	,	PUNCT
cana-3473	15	22	text	text	NOUN
cana-3473	15	23	-	-	PUNCT
cana-3473	15	24	to	to	ADP
cana-3473	15	25	-	-	PUNCT
cana-3473	15	26	speech	speech	NOUN
cana-3473	15	27	(	(	PUNCT
cana-3473	15	28	tts	tts	PROPN
cana-3473	15	29	)	)	PUNCT
cana-3473	15	30	,	,	PUNCT
cana-3473	15	31	speech	speech	NOUN
cana-3473	15	32	recognition	recognition	NOUN
cana-3473	15	33	,	,	PUNCT
cana-3473	15	34	image	image	NOUN
cana-3473	15	35	extraction	extraction	NOUN
cana-3473	15	36	.	.	PUNCT
cana-3473	16	1	introduction	introduction	NOUN
cana-3473	16	2	the	the	DET
cana-3473	16	3	growing	grow	VERB
cana-3473	16	4	significance	significance	NOUN
cana-3473	16	5	of	of	ADP
cana-3473	16	6	deciphering	decipher	VERB
cana-3473	16	7	human	human	ADJ
cana-3473	16	8	emotions	emotion	NOUN
cana-3473	16	9	and	and	CCONJ
cana-3473	16	10	feelings	feeling	NOUN
cana-3473	16	11	through	through	ADP
cana-3473	16	12	audio	audio	ADJ
cana-3473	16	13	information	information	NOUN
cana-3473	16	14	is	be	AUX
cana-3473	16	15	undeniable	undeniable	ADJ
cana-3473	16	16	.	.	PUNCT
cana-3473	17	1	with	with	ADP
cana-3473	17	2	the	the	DET
cana-3473	17	3	rise	rise	NOUN
cana-3473	17	4	of	of	ADP
cana-3473	17	5	audible	audible	ADJ
cana-3473	17	6	content	content	NOUN
cana-3473	17	7	on	on	ADP
cana-3473	17	8	podcasts	podcast	NOUN
cana-3473	17	9	,	,	PUNCT
cana-3473	17	10	audiobooks	audiobook	NOUN
cana-3473	17	11	,	,	PUNCT
cana-3473	17	12	social	social	ADJ
cana-3473	17	13	media	medium	NOUN
cana-3473	17	14	platforms	platform	NOUN
cana-3473	17	15	,	,	PUNCT
cana-3473	17	16	and	and	CCONJ
cana-3473	17	17	voice	voice	NOUN
cana-3473	17	18	-	-	PUNCT
cana-3473	17	19	activated	activate	VERB
cana-3473	17	20	devices	device	NOUN
cana-3473	17	21	,	,	PUNCT
cana-3473	17	22	human	human	ADJ
cana-3473	17	23	emotions	emotion	NOUN
cana-3473	17	24	,	,	PUNCT
cana-3473	17	25	attitudes	attitude	NOUN
cana-3473	17	26	,	,	PUNCT
cana-3473	17	27	and	and	CCONJ
cana-3473	17	28	opinions	opinion	NOUN
cana-3473	17	29	are	be	AUX
cana-3473	17	30	increasingly	increasingly	ADV
cana-3473	17	31	being	be	AUX
cana-3473	17	32	captured	capture	VERB
cana-3473	17	33	and	and	CCONJ
cana-3473	17	34	shared	share	VERB
cana-3473	17	35	through	through	ADP
cana-3473	17	36	sound	sound	NOUN
cana-3473	17	37	[	[	X
cana-3473	17	38	1	1	NUM
cana-3473	17	39	]	]	PUNCT
cana-3473	17	40	.	.	PUNCT
cana-3473	18	1	sentiment	sentiment	NOUN
cana-3473	18	2	analysis	analysis	NOUN
cana-3473	18	3	,	,	PUNCT
cana-3473	18	4	the	the	DET
cana-3473	18	5	automated	automate	VERB
cana-3473	18	6	identification	identification	NOUN
cana-3473	18	7	and	and	CCONJ
cana-3473	18	8	classification	classification	NOUN
cana-3473	18	9	of	of	ADP
cana-3473	18	10	emotions	emotion	NOUN
cana-3473	18	11	or	or	CCONJ
cana-3473	18	12	opinions	opinion	NOUN
cana-3473	18	13	in	in	ADP
cana-3473	18	14	textual	textual	ADJ
cana-3473	18	15	data	datum	NOUN
cana-3473	18	16	[	[	X
cana-3473	18	17	2	2	NUM
cana-3473	18	18	]	]	PUNCT
cana-3473	18	19	,	,	PUNCT
cana-3473	18	20	must	must	AUX
cana-3473	18	21	now	now	ADV
cana-3473	18	22	expand	expand	VERB
cana-3473	18	23	to	to	PART
cana-3473	18	24	accommodate	accommodate	VERB
cana-3473	18	25	the	the	DET
cana-3473	18	26	auditory	auditory	ADJ
cana-3473	18	27	realm	realm	NOUN
cana-3473	18	28	[	[	X
cana-3473	18	29	7	7	NUM
cana-3473	18	30	]	]	PUNCT
cana-3473	18	31	.	.	PUNCT
cana-3473	19	1	audio	audio	NOUN
cana-3473	19	2	-	-	PUNCT
cana-3473	19	3	based	base	VERB
cana-3473	19	4	sentiment	sentiment	NOUN
cana-3473	19	5	analysis	analysis	NOUN
cana-3473	19	6	introduces	introduce	VERB
cana-3473	19	7	new	new	ADJ
cana-3473	19	8	layers	layer	NOUN
cana-3473	19	9	of	of	ADP
cana-3473	19	10	depth	depth	NOUN
cana-3473	19	11	and	and	CCONJ
cana-3473	19	12	nuance	nuance	NOUN
cana-3473	19	13	,	,	PUNCT
cana-3473	19	14	capturing	capture	VERB
cana-3473	19	15	the	the	DET
cana-3473	19	16	subtleties	subtlety	NOUN
cana-3473	19	17	of	of	ADP
cana-3473	19	18	tone	tone	NOUN
cana-3473	19	19	,	,	PUNCT
cana-3473	19	20	emotion	emotion	NOUN
cana-3473	19	21	,	,	PUNCT
cana-3473	19	22	and	and	CCONJ
cana-3473	19	23	attitude	attitude	NOUN
cana-3473	19	24	that	that	PRON
cana-3473	19	25	are	be	AUX
cana-3473	19	26	often	often	ADV
cana-3473	19	27	absent	absent	ADJ
cana-3473	19	28	in	in	ADP
cana-3473	19	29	text	text	NOUN
cana-3473	19	30	-	-	PUNCT
cana-3473	19	31	based	base	VERB
cana-3473	19	32	approaches	approach	NOUN
cana-3473	19	33	[	[	X
cana-3473	19	34	3	3	NUM
cana-3473	19	35	]	]	PUNCT
cana-3473	19	36	.	.	PUNCT
cana-3473	20	1	however	however	ADV
cana-3473	20	2	,	,	PUNCT
cana-3473	20	3	processing	processing	NOUN
cana-3473	20	4	,	,	PUNCT
cana-3473	20	5	analyzing	analyzing	NOUN
cana-3473	20	6	,	,	PUNCT
cana-3473	20	7	and	and	CCONJ
cana-3473	20	8	interpreting	interpret	VERB
cana-3473	20	9	spoken	spoken	ADJ
cana-3473	20	10	language	language	NOUN
cana-3473	20	11	in	in	ADP
cana-3473	20	12	audio	audio	ADJ
cana-3473	20	13	data	datum	NOUN
cana-3473	20	14	presents	present	VERB
cana-3473	20	15	unique	unique	ADJ
cana-3473	20	16	challenges	challenge	NOUN
cana-3473	20	17	,	,	PUNCT
cana-3473	20	18	such	such	ADJ
cana-3473	20	19	as	as	ADP
cana-3473	20	20	variations	variation	NOUN
cana-3473	20	21	in	in	ADP
cana-3473	20	22	speech	speech	NOUN
cana-3473	20	23	patterns	pattern	NOUN
cana-3473	20	24	,	,	PUNCT
cana-3473	20	25	accents	accent	NOUN
cana-3473	20	26	,	,	PUNCT
cana-3473	20	27	tone	tone	NOUN
cana-3473	20	28	,	,	PUNCT
cana-3473	20	29	and	and	CCONJ
cana-3473	20	30	the	the	DET
cana-3473	20	31	presence	presence	NOUN
cana-3473	20	32	of	of	ADP
cana-3473	20	33	background	background	NOUN
cana-3473	20	34	noise	noise	NOUN
cana-3473	20	35	[	[	X
cana-3473	20	36	8	8	NUM
cana-3473	20	37	]	]	PUNCT
cana-3473	20	38	.	.	PUNCT
cana-3473	21	1	to	to	PART
cana-3473	21	2	accurately	accurately	ADV
cana-3473	21	3	identify	identify	VERB
cana-3473	21	4	and	and	CCONJ
cana-3473	21	5	classify	classify	VERB
cana-3473	21	6	sentiments	sentiment	NOUN
cana-3473	21	7	from	from	ADP
cana-3473	21	8	audio	audio	ADJ
cana-3473	21	9	signals	signal	NOUN
cana-3473	21	10	,	,	PUNCT
cana-3473	21	11	it	it	PRON
cana-3473	21	12	is	be	AUX
cana-3473	21	13	crucial	crucial	ADJ
cana-3473	21	14	to	to	PART
cana-3473	21	15	develop	develop	VERB
cana-3473	21	16	tailored	tailor	VERB
cana-3473	21	17	methodologies	methodology	NOUN
cana-3473	21	18	and	and	CCONJ
cana-3473	21	19	models	model	NOUN
cana-3473	21	20	.	.	PUNCT
cana-3473	22	1	advances	advance	NOUN
cana-3473	22	2	in	in	ADP
cana-3473	22	3	nonlinear	nonlinear	ADJ
cana-3473	22	4	variational	variational	ADJ
cana-3473	22	5	inequalities	inequality	NOUN
cana-3473	22	6	issn	issn	VERB
cana-3473	22	7	:	:	PUNCT
cana-3473	22	8	1092	1092	NUM
cana-3473	22	9	-	-	PUNCT
cana-3473	22	10	910x	910x	NUM
cana-3473	22	11	vol	vol	NOUN
cana-3473	22	12	28	28	NUM
cana-3473	22	13	no	no	NOUN
cana-3473	22	14	.	.	PUNCT
cana-3473	23	1	7s	7	NOUN
cana-3473	23	2	(	(	PUNCT
cana-3473	23	3	2025	2025	NUM
cana-3473	23	4	)	)	PUNCT
cana-3473	23	5	665	665	NUM
cana-3473	23	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3473	23	7	this	this	DET
cana-3473	23	8	research	research	NOUN
cana-3473	23	9	seeks	seek	VERB
cana-3473	23	10	to	to	PART
cana-3473	23	11	create	create	VERB
cana-3473	23	12	robust	robust	ADJ
cana-3473	23	13	models	model	NOUN
cana-3473	23	14	capable	capable	ADJ
cana-3473	23	15	of	of	ADP
cana-3473	23	16	accurately	accurately	ADV
cana-3473	23	17	and	and	CCONJ
cana-3473	23	18	efficiently	efficiently	ADV
cana-3473	23	19	classifying	classify	VERB
cana-3473	23	20	sentiments	sentiment	NOUN
cana-3473	23	21	in	in	ADP
cana-3473	23	22	spoken	spoken	ADJ
cana-3473	23	23	language	language	NOUN
cana-3473	23	24	,	,	PUNCT
cana-3473	23	25	thereby	thereby	ADV
cana-3473	23	26	broadening	broaden	VERB
cana-3473	23	27	the	the	DET
cana-3473	23	28	scope	scope	NOUN
cana-3473	23	29	of	of	ADP
cana-3473	23	30	sentiment	sentiment	NOUN
cana-3473	23	31	analysis	analysis	NOUN
cana-3473	23	32	to	to	PART
cana-3473	23	33	encompass	encompass	VERB
cana-3473	23	34	audio	audio	ADJ
cana-3473	23	35	data	datum	NOUN
cana-3473	23	36	.	.	PUNCT
cana-3473	24	1	by	by	ADP
cana-3473	24	2	leveraging	leverage	VERB
cana-3473	24	3	nlp	nlp	NOUN
cana-3473	24	4	techniques	technique	NOUN
cana-3473	24	5	specifically	specifically	ADV
cana-3473	24	6	adapted	adapt	VERB
cana-3473	24	7	for	for	ADP
cana-3473	24	8	audio	audio	ADJ
cana-3473	24	9	analysis	analysis	NOUN
cana-3473	24	10	,	,	PUNCT
cana-3473	24	11	this	this	DET
cana-3473	24	12	study	study	NOUN
cana-3473	24	13	aims	aim	VERB
cana-3473	24	14	to	to	PART
cana-3473	24	15	bridge	bridge	VERB
cana-3473	24	16	the	the	DET
cana-3473	24	17	gap	gap	NOUN
cana-3473	24	18	between	between	ADP
cana-3473	24	19	audio	audio	NOUN
cana-3473	24	20	data	datum	NOUN
cana-3473	24	21	and	and	CCONJ
cana-3473	24	22	sentiment	sentiment	NOUN
cana-3473	24	23	analysis	analysis	NOUN
cana-3473	24	24	,	,	PUNCT
cana-3473	24	25	offering	offer	VERB
cana-3473	24	26	deeper	deep	ADJ
cana-3473	24	27	insights	insight	NOUN
cana-3473	24	28	into	into	ADP
cana-3473	24	29	human	human	ADJ
cana-3473	24	30	emotions	emotion	NOUN
cana-3473	24	31	conveyed	convey	VERB
cana-3473	24	32	through	through	ADP
cana-3473	24	33	sound	sound	NOUN
cana-3473	24	34	[	[	X
cana-3473	24	35	4	4	NUM
cana-3473	24	36	]	]	PUNCT
cana-3473	24	37	.	.	PUNCT
cana-3473	25	1	the	the	DET
cana-3473	25	2	applications	application	NOUN
cana-3473	25	3	of	of	ADP
cana-3473	25	4	this	this	DET
cana-3473	25	5	research	research	NOUN
cana-3473	25	6	are	be	AUX
cana-3473	25	7	vast	vast	ADJ
cana-3473	25	8	,	,	PUNCT
cana-3473	25	9	including	include	VERB
cana-3473	25	10	customer	customer	NOUN
cana-3473	25	11	feedback	feedback	NOUN
cana-3473	25	12	analysis	analysis	NOUN
cana-3473	25	13	,	,	PUNCT
cana-3473	25	14	emotional	emotional	ADJ
cana-3473	25	15	wellbeing	wellbeing	NOUN
cana-3473	25	16	assessments	assessment	NOUN
cana-3473	25	17	,	,	PUNCT
cana-3473	25	18	and	and	CCONJ
cana-3473	25	19	sentiment	sentiment	NOUN
cana-3473	25	20	-	-	PUNCT
cana-3473	25	21	aware	aware	ADJ
cana-3473	25	22	user	user	NOUN
cana-3473	25	23	interfaces	interface	NOUN
cana-3473	25	24	,	,	PUNCT
cana-3473	25	25	among	among	ADP
cana-3473	25	26	others	other	NOUN
cana-3473	25	27	[	[	X
cana-3473	25	28	11	11	NUM
cana-3473	25	29	]	]	PUNCT
cana-3473	25	30	.	.	PUNCT
cana-3473	26	1	ultimately	ultimately	ADV
cana-3473	26	2	,	,	PUNCT
cana-3473	26	3	our	our	PRON
cana-3473	26	4	goal	goal	NOUN
cana-3473	26	5	is	be	AUX
cana-3473	26	6	to	to	PART
cana-3473	26	7	develop	develop	VERB
cana-3473	26	8	machines	machine	NOUN
cana-3473	26	9	that	that	PRON
cana-3473	26	10	can	can	AUX
cana-3473	26	11	understand	understand	VERB
cana-3473	26	12	and	and	CCONJ
cana-3473	26	13	respond	respond	VERB
cana-3473	26	14	to	to	ADP
cana-3473	26	15	human	human	ADJ
cana-3473	26	16	emotions	emotion	NOUN
cana-3473	26	17	,	,	PUNCT
cana-3473	26	18	enhancing	enhance	VERB
cana-3473	26	19	human	human	ADJ
cana-3473	26	20	-	-	PUNCT
cana-3473	26	21	computer	computer	NOUN
cana-3473	26	22	interactions	interaction	NOUN
cana-3473	26	23	and	and	CCONJ
cana-3473	26	24	fostering	foster	VERB
cana-3473	26	25	a	a	DET
cana-3473	26	26	more	more	ADV
cana-3473	26	27	empathetic	empathetic	ADJ
cana-3473	26	28	technological	technological	ADJ
cana-3473	26	29	environment	environment	NOUN
cana-3473	26	30	[	[	X
cana-3473	26	31	2	2	NUM
cana-3473	26	32	]	]	PUNCT
cana-3473	26	33	.	.	PUNCT
cana-3473	27	1	methodology	methodology	NOUN
cana-3473	27	2	:	:	PUNCT
cana-3473	27	3	1	1	X
cana-3473	27	4	.	.	PUNCT
cana-3473	27	5	data	datum	NOUN
cana-3473	27	6	collection	collection	NOUN
cana-3473	27	7	and	and	CCONJ
cana-3473	27	8	preprocessing	preprocessing	NOUN
cana-3473	27	9	:	:	PUNCT
cana-3473	27	10	•	•	NUM
cana-3473	27	11	audio	audio	ADJ
cana-3473	27	12	data	datum	NOUN
cana-3473	27	13	acquisition	acquisition	NOUN
cana-3473	27	14	:	:	PUNCT
cana-3473	27	15	gather	gather	VERB
cana-3473	27	16	a	a	DET
cana-3473	27	17	large	large	ADJ
cana-3473	27	18	set	set	NOUN
cana-3473	27	19	of	of	ADP
cana-3473	27	20	audio	audio	ADJ
cana-3473	27	21	clips	clip	NOUN
cana-3473	27	22	from	from	ADP
cana-3473	27	23	various	various	ADJ
cana-3473	27	24	sources	source	NOUN
cana-3473	27	25	such	such	ADJ
cana-3473	27	26	as	as	ADP
cana-3473	27	27	podcasts	podcast	NOUN
cana-3473	27	28	,	,	PUNCT
cana-3473	27	29	interviews	interview	NOUN
cana-3473	27	30	,	,	PUNCT
cana-3473	27	31	customer	customer	NOUN
cana-3473	27	32	service	service	NOUN
cana-3473	27	33	calls	call	NOUN
cana-3473	27	34	,	,	PUNCT
cana-3473	27	35	and	and	CCONJ
cana-3473	27	36	social	social	ADJ
cana-3473	27	37	media	medium	NOUN
cana-3473	27	38	snippets	snippet	NOUN
cana-3473	27	39	.	.	PUNCT
cana-3473	28	1	to	to	PART
cana-3473	28	2	build	build	VERB
cana-3473	28	3	a	a	DET
cana-3473	28	4	robust	robust	ADJ
cana-3473	28	5	model	model	NOUN
cana-3473	28	6	,	,	PUNCT
cana-3473	28	7	it	it	PRON
cana-3473	28	8	is	be	AUX
cana-3473	28	9	essential	essential	ADJ
cana-3473	28	10	to	to	PART
cana-3473	28	11	ensure	ensure	VERB
cana-3473	28	12	diversity	diversity	NOUN
cana-3473	28	13	in	in	ADP
cana-3473	28	14	this	this	DET
cana-3473	28	15	collection	collection	NOUN
cana-3473	28	16	,	,	PUNCT
cana-3473	28	17	including	include	VERB
cana-3473	28	18	a	a	DET
cana-3473	28	19	range	range	NOUN
cana-3473	28	20	of	of	ADP
cana-3473	28	21	emotions	emotion	NOUN
cana-3473	28	22	,	,	PUNCT
cana-3473	28	23	languages	language	NOUN
cana-3473	28	24	,	,	PUNCT
cana-3473	28	25	accents	accent	NOUN
cana-3473	28	26	,	,	PUNCT
cana-3473	28	27	and	and	CCONJ
cana-3473	28	28	contexts	contexts	NOUN
cana-3473	28	29	.	.	PUNCT
cana-3473	29	1	•	•	NUM
cana-3473	29	2	audio	audio	NOUN
cana-3473	29	3	-	-	PUNCT
cana-3473	29	4	to	to	ADP
cana-3473	29	5	-	-	PUNCT
cana-3473	29	6	text	text	NOUN
cana-3473	29	7	conversion	conversion	NOUN
cana-3473	29	8	:	:	PUNCT
cana-3473	29	9	use	use	VERB
cana-3473	29	10	automatic	automatic	ADJ
cana-3473	29	11	speech	speech	NOUN
cana-3473	29	12	recognition	recognition	NOUN
cana-3473	29	13	(	(	PUNCT
cana-3473	29	14	asr	asr	NOUN
cana-3473	29	15	)	)	PUNCT
cana-3473	29	16	systems	system	NOUN
cana-3473	29	17	to	to	PART
cana-3473	29	18	convert	convert	VERB
cana-3473	29	19	the	the	DET
cana-3473	29	20	audio	audio	ADJ
cana-3473	29	21	data	datum	NOUN
cana-3473	29	22	into	into	ADP
cana-3473	29	23	text	text	NOUN
cana-3473	29	24	,	,	PUNCT
cana-3473	29	25	enabling	enable	VERB
cana-3473	29	26	further	further	ADJ
cana-3473	29	27	analysis	analysis	NOUN
cana-3473	29	28	through	through	ADP
cana-3473	29	29	nlp	nlp	NOUN
cana-3473	29	30	techniques	technique	NOUN
cana-3473	29	31	.	.	PUNCT
cana-3473	30	1	•	•	NUM
cana-3473	30	2	data	datum	NOUN
cana-3473	30	3	cleaning	cleaning	NOUN
cana-3473	30	4	and	and	CCONJ
cana-3473	30	5	preprocessing	preprocessing	NOUN
cana-3473	30	6	:	:	PUNCT
cana-3473	30	7	clean	clean	VERB
cana-3473	30	8	the	the	DET
cana-3473	30	9	data	datum	NOUN
cana-3473	30	10	by	by	ADP
cana-3473	30	11	removing	remove	VERB
cana-3473	30	12	unnecessary	unnecessary	ADJ
cana-3473	30	13	elements	element	NOUN
cana-3473	30	14	such	such	ADJ
cana-3473	30	15	as	as	ADP
cana-3473	30	16	extra	extra	ADJ
cana-3473	30	17	characters	character	NOUN
cana-3473	30	18	and	and	CCONJ
cana-3473	30	19	special	special	ADJ
cana-3473	30	20	symbols	symbol	NOUN
cana-3473	30	21	,	,	PUNCT
cana-3473	30	22	and	and	CCONJ
cana-3473	30	23	normalize	normalize	VERB
cana-3473	30	24	capitalization	capitalization	NOUN
cana-3473	30	25	.	.	PUNCT
cana-3473	31	1	for	for	ADP
cana-3473	31	2	audio	audio	ADJ
cana-3473	31	3	data	datum	NOUN
cana-3473	31	4	,	,	PUNCT
cana-3473	31	5	remove	remove	VERB
cana-3473	31	6	background	background	NOUN
cana-3473	31	7	noise	noise	NOUN
cana-3473	31	8	,	,	PUNCT
cana-3473	31	9	segment	segment	VERB
cana-3473	31	10	the	the	DET
cana-3473	31	11	audio	audio	NOUN
cana-3473	31	12	into	into	ADP
cana-3473	31	13	smaller	small	ADJ
cana-3473	31	14	units	unit	NOUN
cana-3473	31	15	,	,	PUNCT
cana-3473	31	16	and	and	CCONJ
cana-3473	31	17	extract	extract	VERB
cana-3473	31	18	key	key	ADJ
cana-3473	31	19	audio	audio	NOUN
cana-3473	31	20	features	feature	NOUN
cana-3473	31	21	.	.	PUNCT
cana-3473	32	1	2	2	X
cana-3473	32	2	.	.	X
cana-3473	32	3	feature	feature	NOUN
cana-3473	32	4	extraction	extraction	NOUN
cana-3473	32	5	:	:	PUNCT
cana-3473	32	6	•	•	NUM
cana-3473	32	7	lexical	lexical	ADJ
cana-3473	32	8	features	feature	NOUN
cana-3473	32	9	:	:	PUNCT
cana-3473	32	10	extract	extract	VERB
cana-3473	32	11	specific	specific	ADJ
cana-3473	32	12	text	text	NOUN
cana-3473	32	13	features	feature	NOUN
cana-3473	32	14	,	,	PUNCT
cana-3473	32	15	such	such	ADJ
cana-3473	32	16	as	as	ADP
cana-3473	32	17	n	n	NOUN
cana-3473	32	18	-	-	PUNCT
cana-3473	32	19	grams	gram	NOUN
cana-3473	32	20	,	,	PUNCT
cana-3473	32	21	tf	tf	PROPN
cana-3473	32	22	-	-	PUNCT
cana-3473	32	23	idf	idf	PROPN
cana-3473	32	24	vectors	vector	NOUN
cana-3473	32	25	,	,	PUNCT
cana-3473	32	26	and	and	CCONJ
cana-3473	32	27	word	word	NOUN
cana-3473	32	28	embedding	embed	VERB
cana-3473	32	29	’s	’s	PART
cana-3473	32	30	(	(	PUNCT
cana-3473	32	31	e.g.	e.g.	ADV
cana-3473	32	32	,	,	PUNCT
cana-3473	32	33	word2vec	word2vec	X
cana-3473	32	34	or	or	CCONJ
cana-3473	32	35	glove	glove	NOUN
cana-3473	32	36	)	)	PUNCT
cana-3473	32	37	.	.	PUNCT
cana-3473	33	1	pre	pre	VERB
cana-3473	33	2	-	-	ADJ
cana-3473	33	3	trained	train	VERB
cana-3473	33	4	language	language	NOUN
cana-3473	33	5	models	model	NOUN
cana-3473	33	6	(	(	PUNCT
cana-3473	33	7	like	like	ADP
cana-3473	33	8	bert	bert	NOUN
cana-3473	33	9	or	or	CCONJ
cana-3473	33	10	gpt	gpt	NOUN
cana-3473	33	11	)	)	PUNCT
cana-3473	33	12	can	can	AUX
cana-3473	33	13	also	also	ADV
cana-3473	33	14	be	be	AUX
cana-3473	33	15	employed	employ	VERB
cana-3473	33	16	to	to	PART
cana-3473	33	17	enhance	enhance	VERB
cana-3473	33	18	the	the	DET
cana-3473	33	19	contextual	contextual	ADJ
cana-3473	33	20	meaning	meaning	NOUN
cana-3473	33	21	of	of	ADP
cana-3473	33	22	the	the	DET
cana-3473	33	23	text	text	NOUN
cana-3473	33	24	.	.	PUNCT
cana-3473	34	1	•	•	NUM
cana-3473	34	2	audio	audio	NOUN
cana-3473	34	3	features	feature	NOUN
cana-3473	34	4	:	:	PUNCT
cana-3473	34	5	extract	extract	VERB
cana-3473	34	6	key	key	ADJ
cana-3473	34	7	audio	audio	ADJ
cana-3473	34	8	features	feature	NOUN
cana-3473	34	9	,	,	PUNCT
cana-3473	34	10	including	include	VERB
cana-3473	34	11	pitch	pitch	NOUN
cana-3473	34	12	,	,	PUNCT
cana-3473	34	13	mel	mel	PROPN
cana-3473	34	14	-	-	PUNCT
cana-3473	34	15	frequency	frequency	ADJ
cana-3473	34	16	campestral	campestral	ADJ
cana-3473	34	17	coefficients	coefficient	NOUN
cana-3473	34	18	(	(	PUNCT
cana-3473	34	19	mfcc	mfcc	NOUN
cana-3473	34	20	)	)	PUNCT
cana-3473	34	21	,	,	PUNCT
cana-3473	34	22	and	and	CCONJ
cana-3473	34	23	prosodic	prosodic	ADJ
cana-3473	34	24	features	feature	NOUN
cana-3473	34	25	.	.	PUNCT
cana-3473	35	1	these	these	DET
cana-3473	35	2	audio	audio	NOUN
cana-3473	35	3	features	feature	NOUN
cana-3473	35	4	are	be	AUX
cana-3473	35	5	then	then	ADV
cana-3473	35	6	combined	combine	VERB
cana-3473	35	7	with	with	ADP
cana-3473	35	8	text	text	NOUN
cana-3473	35	9	features	feature	NOUN
cana-3473	35	10	to	to	PART
cana-3473	35	11	create	create	VERB
cana-3473	35	12	a	a	DET
cana-3473	35	13	hybrid	hybrid	ADJ
cana-3473	35	14	representation	representation	NOUN
cana-3473	35	15	that	that	PRON
cana-3473	35	16	captures	capture	VERB
cana-3473	35	17	both	both	CCONJ
cana-3473	35	18	the	the	DET
cana-3473	35	19	linguistic	linguistic	ADJ
cana-3473	35	20	and	and	CCONJ
cana-3473	35	21	auditory	auditory	ADJ
cana-3473	35	22	elements	element	NOUN
cana-3473	35	23	of	of	ADP
cana-3473	35	24	the	the	DET
cana-3473	35	25	data	datum	NOUN
cana-3473	35	26	.	.	PUNCT
cana-3473	36	1	3	3	X
cana-3473	36	2	.	.	X
cana-3473	36	3	model	model	NOUN
cana-3473	36	4	development	development	NOUN
cana-3473	36	5	and	and	CCONJ
cana-3473	36	6	training	training	NOUN
cana-3473	36	7	:	:	PUNCT
cana-3473	36	8	•	•	NUM
cana-3473	36	9	model	model	NOUN
cana-3473	36	10	selection	selection	NOUN
cana-3473	36	11	:	:	PUNCT
cana-3473	36	12	choose	choose	VERB
cana-3473	36	13	appropriate	appropriate	ADJ
cana-3473	36	14	models	model	NOUN
cana-3473	36	15	for	for	ADP
cana-3473	36	16	analysis	analysis	NOUN
cana-3473	36	17	,	,	PUNCT
cana-3473	36	18	such	such	ADJ
cana-3473	36	19	as	as	ADP
cana-3473	36	20	recurrent	recurrent	ADJ
cana-3473	36	21	neural	neural	ADJ
cana-3473	36	22	networks	network	NOUN
cana-3473	36	23	(	(	PUNCT
cana-3473	36	24	rnn	rnn	PROPN
cana-3473	36	25	)	)	PUNCT
cana-3473	36	26	,	,	PUNCT
cana-3473	36	27	convolutional	convolutional	ADJ
cana-3473	36	28	neural	neural	ADJ
cana-3473	36	29	networks	network	NOUN
cana-3473	36	30	(	(	PUNCT
cana-3473	36	31	cnn	cnn	PROPN
cana-3473	36	32	)	)	PUNCT
cana-3473	36	33	,	,	PUNCT
cana-3473	36	34	long	long	ADJ
cana-3473	36	35	short	short	ADJ
cana-3473	36	36	-	-	PUNCT
cana-3473	36	37	term	term	NOUN
cana-3473	36	38	memory	memory	NOUN
cana-3473	36	39	networks	network	NOUN
cana-3473	36	40	(	(	PUNCT
cana-3473	36	41	lstm	lstm	NOUN
cana-3473	36	42	)	)	PUNCT
cana-3473	36	43	,	,	PUNCT
cana-3473	36	44	or	or	CCONJ
cana-3473	36	45	transformers	transformer	NOUN
cana-3473	36	46	.	.	PUNCT
cana-3473	37	1	the	the	DET
cana-3473	37	2	structural	structural	ADJ
cana-3473	37	3	design	design	NOUN
cana-3473	37	4	of	of	ADP
cana-3473	37	5	the	the	DET
cana-3473	37	6	models	model	NOUN
cana-3473	37	7	should	should	AUX
cana-3473	37	8	be	be	AUX
cana-3473	37	9	adapted	adapt	VERB
cana-3473	37	10	to	to	PART
cana-3473	37	11	analyze	analyze	VERB
cana-3473	37	12	both	both	DET
cana-3473	37	13	textual	textual	ADJ
cana-3473	37	14	and	and	CCONJ
cana-3473	37	15	auditory	auditory	ADJ
cana-3473	37	16	data	datum	NOUN
cana-3473	37	17	.	.	PUNCT
cana-3473	38	1	•	•	NUM
cana-3473	38	2	training	training	NOUN
cana-3473	38	3	and	and	CCONJ
cana-3473	38	4	evaluation	evaluation	NOUN
cana-3473	38	5	:	:	PUNCT
cana-3473	38	6	split	split	VERB
cana-3473	38	7	the	the	DET
cana-3473	38	8	preprocessed	preprocesse	VERB
cana-3473	38	9	data	datum	NOUN
cana-3473	38	10	into	into	ADP
cana-3473	38	11	training	training	NOUN
cana-3473	38	12	,	,	PUNCT
cana-3473	38	13	validation	validation	NOUN
cana-3473	38	14	,	,	PUNCT
cana-3473	38	15	and	and	CCONJ
cana-3473	38	16	test	test	NOUN
cana-3473	38	17	sets	set	NOUN
cana-3473	38	18	to	to	PART
cana-3473	38	19	train	train	VERB
cana-3473	38	20	and	and	CCONJ
cana-3473	38	21	test	test	VERB
cana-3473	38	22	the	the	DET
cana-3473	38	23	neural	neural	ADJ
cana-3473	38	24	network	network	NOUN
cana-3473	38	25	models	model	NOUN
cana-3473	38	26	.	.	PUNCT
cana-3473	39	1	evaluate	evaluate	VERB
cana-3473	39	2	the	the	DET
cana-3473	39	3	model	model	NOUN
cana-3473	39	4	's	's	PART
cana-3473	39	5	performance	performance	NOUN
cana-3473	39	6	using	use	VERB
cana-3473	39	7	metrics	metric	NOUN
cana-3473	39	8	like	like	ADP
cana-3473	39	9	accuracy	accuracy	NOUN
cana-3473	39	10	,	,	PUNCT
cana-3473	39	11	precision	precision	NOUN
cana-3473	39	12	,	,	PUNCT
cana-3473	39	13	recall	recall	NOUN
cana-3473	39	14	,	,	PUNCT
cana-3473	39	15	f1	f1	NOUN
cana-3473	39	16	-	-	PUNCT
cana-3473	39	17	score	score	NOUN
cana-3473	39	18	,	,	PUNCT
cana-3473	39	19	and	and	CCONJ
cana-3473	39	20	confusion	confusion	NOUN
cana-3473	39	21	matrix	matrix	NOUN
cana-3473	39	22	.	.	PUNCT
cana-3473	40	1	4.testing	4.testing	NUM
cana-3473	40	2	and	and	CCONJ
cana-3473	40	3	optimization	optimization	NOUN
cana-3473	40	4	:	:	PUNCT
cana-3473	40	5	•	•	NUM
cana-3473	40	6	parameter	parameter	NOUN
cana-3473	40	7	tuning	tuning	NOUN
cana-3473	40	8	:	:	PUNCT
cana-3473	40	9	optimize	optimize	VERB
cana-3473	40	10	model	model	NOUN
cana-3473	40	11	parameters	parameter	NOUN
cana-3473	40	12	such	such	ADJ
cana-3473	40	13	as	as	ADP
cana-3473	40	14	learning	learn	VERB
cana-3473	40	15	rate	rate	NOUN
cana-3473	40	16	,	,	PUNCT
cana-3473	40	17	batch	batch	NOUN
cana-3473	40	18	size	size	NOUN
cana-3473	40	19	,	,	PUNCT
cana-3473	40	20	and	and	CCONJ
cana-3473	40	21	model	model	NOUN
cana-3473	40	22	architecture	architecture	NOUN
cana-3473	40	23	using	use	VERB
cana-3473	40	24	techniques	technique	NOUN
cana-3473	40	25	like	like	ADP
cana-3473	40	26	grid	grid	NOUN
cana-3473	40	27	search	search	NOUN
cana-3473	40	28	or	or	CCONJ
cana-3473	40	29	random	random	ADJ
cana-3473	40	30	search	search	NOUN
cana-3473	40	31	to	to	ADP
cana-3473	40	32	fine	fine	ADJ
cana-3473	40	33	-	-	PUNCT
cana-3473	40	34	tune	tune	NOUN
cana-3473	40	35	performance	performance	NOUN
cana-3473	40	36	.	.	PUNCT
cana-3473	41	1	•	•	NUM
cana-3473	41	2	comparative	comparative	ADJ
cana-3473	41	3	analysis	analysis	NOUN
cana-3473	41	4	:	:	PUNCT
cana-3473	41	5	compare	compare	VERB
cana-3473	41	6	the	the	DET
cana-3473	41	7	performance	performance	NOUN
cana-3473	41	8	of	of	ADP
cana-3473	41	9	the	the	DET
cana-3473	41	10	proposed	propose	VERB
cana-3473	41	11	model	model	NOUN
cana-3473	41	12	with	with	ADP
cana-3473	41	13	other	other	ADJ
cana-3473	41	14	baseline	baseline	NOUN
cana-3473	41	15	models	model	NOUN
cana-3473	41	16	that	that	PRON
cana-3473	41	17	do	do	AUX
cana-3473	41	18	not	not	PART
cana-3473	41	19	incorporate	incorporate	VERB
cana-3473	41	20	audio	audio	ADJ
cana-3473	41	21	features	feature	NOUN
cana-3473	41	22	.	.	PUNCT
cana-3473	42	1	highlight	highlight	VERB
cana-3473	42	2	the	the	DET
cana-3473	42	3	advantages	advantage	NOUN
cana-3473	42	4	and	and	CCONJ
cana-3473	42	5	unique	unique	ADJ
cana-3473	42	6	contributions	contribution	NOUN
cana-3473	42	7	of	of	ADP
cana-3473	42	8	the	the	DET
cana-3473	42	9	proposed	propose	VERB
cana-3473	42	10	approach	approach	NOUN
cana-3473	42	11	to	to	AUX
cana-3473	42	12	emotion	emotion	VERB
cana-3473	42	13	analysis	analysis	NOUN
cana-3473	42	14	in	in	ADP
cana-3473	42	15	the	the	DET
cana-3473	42	16	audio	audio	ADJ
cana-3473	42	17	domain	domain	NOUN
cana-3473	42	18	.	.	PUNCT
cana-3473	43	1	advances	advance	NOUN
cana-3473	43	2	in	in	ADP
cana-3473	43	3	nonlinear	nonlinear	ADJ
cana-3473	43	4	variational	variational	ADJ
cana-3473	43	5	inequalities	inequality	NOUN
cana-3473	43	6	issn	issn	VERB
cana-3473	43	7	:	:	PUNCT
cana-3473	43	8	1092	1092	NUM
cana-3473	43	9	-	-	PUNCT
cana-3473	43	10	910x	910x	NUM
cana-3473	43	11	vol	vol	NOUN
cana-3473	43	12	28	28	NUM
cana-3473	43	13	no	no	NOUN
cana-3473	43	14	.	.	PUNCT
cana-3473	44	1	7s	7	NOUN
cana-3473	44	2	(	(	PUNCT
cana-3473	44	3	2025	2025	NUM
cana-3473	44	4	)	)	PUNCT
cana-3473	44	5	666	666	NUM
cana-3473	44	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3473	44	7	fig1	fig1	PROPN
cana-3473	44	8	:	:	PUNCT
cana-3473	44	9	process	process	NOUN
cana-3473	44	10	of	of	ADP
cana-3473	44	11	sentiment	sentiment	NOUN
cana-3473	44	12	analysis	analysis	NOUN
cana-3473	44	13	literature	literature	NOUN
cana-3473	44	14	review	review	NOUN
cana-3473	44	15	machine	machine	NOUN
cana-3473	44	16	learning	learning	NOUN
cana-3473	44	17	(	(	PUNCT
cana-3473	44	18	ml	ml	NOUN
cana-3473	44	19	)	)	PUNCT
cana-3473	44	20	and	and	CCONJ
cana-3473	44	21	natural	natural	ADJ
cana-3473	44	22	language	language	NOUN
cana-3473	44	23	processing	processing	NOUN
cana-3473	44	24	(	(	PUNCT
cana-3473	44	25	nlp	nlp	NOUN
cana-3473	44	26	)	)	PUNCT
cana-3473	44	27	applications	application	NOUN
cana-3473	44	28	for	for	ADP
cana-3473	44	29	analyzing	analyze	VERB
cana-3473	44	30	unstructured	unstructured	ADJ
cana-3473	44	31	patient	patient	ADJ
cana-3473	44	32	feedback	feedback	NOUN
cana-3473	44	33	have	have	AUX
cana-3473	44	34	garnered	garner	VERB
cana-3473	44	35	significant	significant	ADJ
cana-3473	44	36	attention	attention	NOUN
cana-3473	44	37	due	due	ADP
cana-3473	44	38	to	to	ADP
cana-3473	44	39	the	the	DET
cana-3473	44	40	valuable	valuable	ADJ
cana-3473	44	41	insights	insight	NOUN
cana-3473	44	42	they	they	PRON
cana-3473	44	43	provide	provide	VERB
cana-3473	44	44	.	.	PUNCT
cana-3473	45	1	this	this	DET
cana-3473	45	2	systematic	systematic	ADJ
cana-3473	45	3	review	review	NOUN
cana-3473	45	4	covers	cover	VERB
cana-3473	45	5	19	19	NUM
cana-3473	45	6	articles	article	NOUN
cana-3473	45	7	,	,	PUNCT
cana-3473	45	8	revealing	reveal	VERB
cana-3473	45	9	that	that	SCONJ
cana-3473	45	10	80	80	NUM
cana-3473	45	11	%	%	NOUN
cana-3473	45	12	of	of	ADP
cana-3473	45	13	the	the	DET
cana-3473	45	14	studies	study	NOUN
cana-3473	45	15	focus	focus	VERB
cana-3473	45	16	primarily	primarily	ADV
cana-3473	45	17	on	on	ADP
cana-3473	45	18	the	the	DET
cana-3473	45	19	linguistic	linguistic	ADJ
cana-3473	45	20	analysis	analysis	NOUN
cana-3473	45	21	of	of	ADP
cana-3473	45	22	unsolicited	unsolicited	ADJ
cana-3473	45	23	patient	patient	ADJ
cana-3473	45	24	comments	comment	NOUN
cana-3473	45	25	from	from	ADP
cana-3473	45	26	social	social	ADJ
cana-3473	45	27	media	medium	NOUN
cana-3473	45	28	platforms	platform	NOUN
cana-3473	45	29	,	,	PUNCT
cana-3473	45	30	with	with	ADP
cana-3473	45	31	formal	formal	ADJ
cana-3473	45	32	surveys	survey	NOUN
cana-3473	45	33	(	(	PUNCT
cana-3473	45	34	solicited	solicit	VERB
cana-3473	45	35	feedback	feedback	NOUN
cana-3473	45	36	)	)	PUNCT
cana-3473	45	37	being	be	AUX
cana-3473	45	38	the	the	DET
cana-3473	45	39	second	second	ADJ
cana-3473	45	40	most	most	ADV
cana-3473	45	41	common	common	ADJ
cana-3473	45	42	source	source	NOUN
cana-3473	45	43	.	.	PUNCT
cana-3473	46	1	supervised	supervised	ADJ
cana-3473	46	2	learning	learn	VERB
cana-3473	46	3	was	be	AUX
cana-3473	46	4	the	the	DET
cana-3473	46	5	most	most	ADV
cana-3473	46	6	frequently	frequently	ADV
cana-3473	46	7	used	use	VERB
cana-3473	46	8	method	method	NOUN
cana-3473	46	9	(	(	PUNCT
cana-3473	46	10	n	n	NOUN
cana-3473	46	11	=	=	SYM
cana-3473	46	12	9	9	NUM
cana-3473	46	13	)	)	PUNCT
cana-3473	46	14	,	,	PUNCT
cana-3473	46	15	followed	follow	VERB
cana-3473	46	16	by	by	ADP
cana-3473	46	17	unsupervised	unsupervised	ADJ
cana-3473	46	18	(	(	PUNCT
cana-3473	46	19	n	n	NOUN
cana-3473	46	20	=	=	SYM
cana-3473	46	21	6	6	NUM
cana-3473	46	22	)	)	PUNCT
cana-3473	46	23	and	and	CCONJ
cana-3473	46	24	semi	semi	ADJ
cana-3473	46	25	-	-	ADJ
cana-3473	46	26	supervised	supervised	ADJ
cana-3473	46	27	(	(	PUNCT
cana-3473	46	28	n	n	NOUN
cana-3473	46	29	=	=	SYM
cana-3473	46	30	3	3	X
cana-3473	46	31	)	)	PUNCT
cana-3473	46	32	approaches	approach	NOUN
cana-3473	46	33	.	.	PUNCT
cana-3473	47	1	social	social	ADJ
cana-3473	47	2	media	medium	NOUN
cana-3473	47	3	comments	comment	NOUN
cana-3473	47	4	were	be	AUX
cana-3473	47	5	typically	typically	ADV
cana-3473	47	6	analyzed	analyze	VERB
cana-3473	47	7	using	use	VERB
cana-3473	47	8	unsupervised	unsupervised	ADJ
cana-3473	47	9	methods	method	NOUN
cana-3473	47	10	,	,	PUNCT
cana-3473	47	11	while	while	SCONJ
cana-3473	47	12	free	free	ADJ
cana-3473	47	13	-	-	PUNCT
cana-3473	47	14	text	text	NOUN
cana-3473	47	15	responses	response	NOUN
cana-3473	47	16	from	from	ADP
cana-3473	47	17	structured	structured	ADJ
cana-3473	47	18	questionnaires	questionnaire	NOUN
cana-3473	47	19	were	be	AUX
cana-3473	47	20	processed	process	VERB
cana-3473	47	21	using	use	VERB
cana-3473	47	22	supervised	supervised	ADJ
cana-3473	47	23	approaches	approach	NOUN
cana-3473	47	24	[	[	X
cana-3473	47	25	11	11	NUM
cana-3473	47	26	]	]	PUNCT
cana-3473	47	27	.	.	PUNCT
cana-3473	48	1	the	the	DET
cana-3473	48	2	most	most	ADV
cana-3473	48	3	effective	effective	ADJ
cana-3473	48	4	machine	machine	NOUN
cana-3473	48	5	learning	learn	VERB
cana-3473	48	6	classifiers	classifier	NOUN
cana-3473	48	7	were	be	AUX
cana-3473	48	8	found	find	VERB
cana-3473	48	9	to	to	PART
cana-3473	48	10	be	be	AUX
cana-3473	48	11	support	support	NOUN
cana-3473	48	12	vector	vector	NOUN
cana-3473	48	13	machines	machine	NOUN
cana-3473	48	14	and	and	CCONJ
cana-3473	48	15	naïve	naïve	ADJ
cana-3473	48	16	bayes	bayes	NOUN
cana-3473	48	17	,	,	PUNCT
cana-3473	48	18	based	base	VERB
cana-3473	48	19	on	on	ADP
cana-3473	48	20	performance	performance	NOUN
cana-3473	48	21	metrics	metric	NOUN
cana-3473	48	22	such	such	ADJ
cana-3473	48	23	as	as	ADP
cana-3473	48	24	precision	precision	NOUN
cana-3473	48	25	,	,	PUNCT
cana-3473	48	26	recall	recall	NOUN
cana-3473	48	27	,	,	PUNCT
cana-3473	48	28	and	and	CCONJ
cana-3473	48	29	f	f	X
cana-3473	48	30	-	-	PUNCT
cana-3473	48	31	measure	measure	NOUN
cana-3473	48	32	.	.	PUNCT
cana-3473	49	1	these	these	DET
cana-3473	49	2	findings	finding	NOUN
cana-3473	49	3	emphasize	emphasize	VERB
cana-3473	49	4	the	the	DET
cana-3473	49	5	growing	grow	VERB
cana-3473	49	6	importance	importance	NOUN
cana-3473	49	7	of	of	ADP
cana-3473	49	8	nlp	nlp	NOUN
cana-3473	49	9	and	and	CCONJ
cana-3473	49	10	ml	ml	X
cana-3473	49	11	as	as	ADP
cana-3473	49	12	essential	essential	ADJ
cana-3473	49	13	tools	tool	NOUN
cana-3473	49	14	for	for	ADP
cana-3473	49	15	managing	manage	VERB
cana-3473	49	16	unstructured	unstructured	ADJ
cana-3473	49	17	patient	patient	ADJ
cana-3473	49	18	feedback	feedback	NOUN
cana-3473	49	19	.	.	PUNCT
cana-3473	50	1	the	the	DET
cana-3473	50	2	choice	choice	NOUN
cana-3473	50	3	between	between	ADP
cana-3473	50	4	supervised	supervised	ADJ
cana-3473	50	5	and	and	CCONJ
cana-3473	50	6	unsupervised	unsupervised	ADJ
cana-3473	50	7	approaches	approach	NOUN
cana-3473	50	8	depends	depend	VERB
cana-3473	50	9	largely	largely	ADV
cana-3473	50	10	on	on	ADP
cana-3473	50	11	the	the	DET
cana-3473	50	12	data	datum	NOUN
cana-3473	50	13	source	source	NOUN
cana-3473	50	14	,	,	PUNCT
cana-3473	50	15	reflecting	reflect	VERB
cana-3473	50	16	the	the	DET
cana-3473	50	17	diversity	diversity	NOUN
cana-3473	50	18	in	in	ADP
cana-3473	50	19	patient	patient	ADJ
cana-3473	50	20	feedback	feedback	NOUN
cana-3473	50	21	channels	channel	NOUN
cana-3473	50	22	.	.	PUNCT
cana-3473	51	1	as	as	SCONJ
cana-3473	51	2	healthcare	healthcare	NOUN
cana-3473	51	3	organizations	organization	NOUN
cana-3473	51	4	face	face	VERB
cana-3473	51	5	increasing	increase	VERB
cana-3473	51	6	volumes	volume	NOUN
cana-3473	51	7	of	of	ADP
cana-3473	51	8	unstructured	unstructured	ADJ
cana-3473	51	9	text	text	NOUN
cana-3473	51	10	data	datum	NOUN
cana-3473	51	11	,	,	PUNCT
cana-3473	51	12	advanced	advanced	ADJ
cana-3473	51	13	data	datum	NOUN
cana-3473	51	14	analysis	analysis	NOUN
cana-3473	51	15	tools	tool	NOUN
cana-3473	51	16	present	present	ADJ
cana-3473	51	17	promising	promise	VERB
cana-3473	51	18	opportunities	opportunity	NOUN
cana-3473	51	19	to	to	PART
cana-3473	51	20	extract	extract	VERB
cana-3473	51	21	meaningful	meaningful	ADJ
cana-3473	51	22	insights	insight	NOUN
cana-3473	51	23	.	.	PUNCT
cana-3473	52	1	ongoing	ongoing	ADJ
cana-3473	52	2	advancements	advancement	NOUN
cana-3473	52	3	in	in	ADP
cana-3473	52	4	these	these	DET
cana-3473	52	5	tools	tool	NOUN
cana-3473	52	6	are	be	AUX
cana-3473	52	7	expected	expect	VERB
cana-3473	52	8	to	to	PART
cana-3473	52	9	further	far	ADV
cana-3473	52	10	enhance	enhance	VERB
cana-3473	52	11	the	the	DET
cana-3473	52	12	utility	utility	NOUN
cana-3473	52	13	of	of	ADP
cana-3473	52	14	nlp	nlp	NOUN
cana-3473	52	15	and	and	CCONJ
cana-3473	52	16	ml	ml	NOUN
cana-3473	52	17	techniques	technique	NOUN
cana-3473	52	18	,	,	PUNCT
cana-3473	52	19	providing	provide	VERB
cana-3473	52	20	healthcare	healthcare	NOUN
cana-3473	52	21	organizations	organization	NOUN
cana-3473	52	22	with	with	ADP
cana-3473	52	23	robust	robust	ADJ
cana-3473	52	24	methods	method	NOUN
cana-3473	52	25	for	for	ADP
cana-3473	52	26	analyzing	analyze	VERB
cana-3473	52	27	patient	patient	ADJ
cana-3473	52	28	feedback	feedback	NOUN
cana-3473	52	29	.	.	PUNCT
cana-3473	53	1	sarcopenia	sarcopenia	NOUN
cana-3473	53	2	,	,	PUNCT
cana-3473	53	3	characterized	characterize	VERB
cana-3473	53	4	by	by	ADP
cana-3473	53	5	age	age	NOUN
cana-3473	53	6	-	-	PUNCT
cana-3473	53	7	related	relate	VERB
cana-3473	53	8	muscle	muscle	NOUN
cana-3473	53	9	loss	loss	NOUN
cana-3473	53	10	,	,	PUNCT
cana-3473	53	11	can	can	AUX
cana-3473	53	12	be	be	AUX
cana-3473	53	13	addressed	address	VERB
cana-3473	53	14	effectively	effectively	ADV
cana-3473	53	15	through	through	ADP
cana-3473	53	16	physical	physical	ADJ
cana-3473	53	17	activity	activity	NOUN
cana-3473	53	18	.	.	PUNCT
cana-3473	54	1	however	however	ADV
cana-3473	54	2	,	,	PUNCT
cana-3473	54	3	adherence	adherence	NOUN
cana-3473	54	4	to	to	ADP
cana-3473	54	5	home	home	NOUN
cana-3473	54	6	-	-	PUNCT
cana-3473	54	7	based	base	VERB
cana-3473	54	8	exercise	exercise	NOUN
cana-3473	54	9	programs	program	NOUN
cana-3473	54	10	is	be	AUX
cana-3473	54	11	low	low	ADJ
cana-3473	54	12	,	,	PUNCT
cana-3473	54	13	at	at	ADP
cana-3473	54	14	around	around	ADP
cana-3473	54	15	40	40	NUM
cana-3473	54	16	%	%	NOUN
cana-3473	54	17	,	,	PUNCT
cana-3473	54	18	necessitating	necessitate	VERB
cana-3473	54	19	the	the	DET
cana-3473	54	20	development	development	NOUN
cana-3473	54	21	of	of	ADP
cana-3473	54	22	solutions	solution	NOUN
cana-3473	54	23	to	to	PART
cana-3473	54	24	monitor	monitor	VERB
cana-3473	54	25	progress	progress	NOUN
cana-3473	54	26	and	and	CCONJ
cana-3473	54	27	boost	boost	VERB
cana-3473	54	28	compliance	compliance	NOUN
cana-3473	54	29	.	.	PUNCT
cana-3473	55	1	the	the	DET
cana-3473	55	2	integration	integration	NOUN
cana-3473	55	3	of	of	ADP
cana-3473	55	4	remote	remote	ADJ
cana-3473	55	5	sensing	sense	VERB
cana-3473	55	6	systems	system	NOUN
cana-3473	55	7	in	in	ADP
cana-3473	55	8	mobile	mobile	ADJ
cana-3473	55	9	applications	application	NOUN
cana-3473	55	10	,	,	PUNCT
cana-3473	55	11	designed	design	VERB
cana-3473	55	12	with	with	ADP
cana-3473	55	13	user	user	NOUN
cana-3473	55	14	input	input	NOUN
cana-3473	55	15	,	,	PUNCT
cana-3473	55	16	shows	show	VERB
cana-3473	55	17	potential	potential	ADJ
cana-3473	55	18	,	,	PUNCT
cana-3473	55	19	particularly	particularly	ADV
cana-3473	55	20	when	when	SCONJ
cana-3473	55	21	combined	combine	VERB
cana-3473	55	22	with	with	ADP
cana-3473	55	23	nlp	nlp	NOUN
cana-3473	55	24	for	for	ADP
cana-3473	55	25	data	data	NOUN
cana-3473	55	26	collection	collection	NOUN
cana-3473	55	27	.	.	PUNCT
cana-3473	56	1	in	in	ADP
cana-3473	56	2	a	a	DET
cana-3473	56	3	study	study	NOUN
cana-3473	56	4	involving	involve	VERB
cana-3473	56	5	22	22	NUM
cana-3473	56	6	participants	participant	NOUN
cana-3473	56	7	(	(	PUNCT
cana-3473	56	8	average	average	ADJ
cana-3473	56	9	age	age	NOUN
cana-3473	56	10	68	68	NUM
cana-3473	56	11	)	)	PUNCT
cana-3473	56	12	,	,	PUNCT
cana-3473	56	13	feedback	feedback	NOUN
cana-3473	56	14	from	from	ADP
cana-3473	56	15	both	both	DET
cana-3473	56	16	patients	patient	NOUN
cana-3473	56	17	and	and	CCONJ
cana-3473	56	18	physicians	physician	NOUN
cana-3473	56	19	informed	inform	VERB
cana-3473	56	20	the	the	DET
cana-3473	56	21	design	design	NOUN
cana-3473	56	22	of	of	ADP
cana-3473	56	23	the	the	DET
cana-3473	56	24	app	app	PROPN
cana-3473	56	25	.	.	PUNCT
cana-3473	56	26	system	system	NOUN
cana-3473	56	27	usability	usability	NOUN
cana-3473	56	28	(	(	PUNCT
cana-3473	56	29	sus	sus	PROPN
cana-3473	56	30	)	)	PUNCT
cana-3473	56	31	scores	score	NOUN
cana-3473	56	32	averaged	average	VERB
cana-3473	56	33	66.4	66.4	NUM
cana-3473	56	34	(	(	PUNCT
cana-3473	56	35	sd	sd	ADP
cana-3473	56	36	13.6	13.6	NUM
cana-3473	56	37	)	)	PUNCT
cana-3473	56	38	,	,	PUNCT
cana-3473	56	39	while	while	SCONJ
cana-3473	56	40	user	user	NOUN
cana-3473	56	41	satisfaction	satisfaction	NOUN
cana-3473	56	42	with	with	ADP
cana-3473	56	43	the	the	DET
cana-3473	56	44	technology	technology	NOUN
cana-3473	56	45	(	(	PUNCT
cana-3473	56	46	use	use	NOUN
cana-3473	56	47	)	)	PUNCT
cana-3473	56	48	averaged	average	VERB
cana-3473	56	49	41.3	41.3	NUM
cana-3473	56	50	(	(	PUNCT
cana-3473	56	51	sd	sd	NOUN
cana-3473	56	52	16.2	16.2	NUM
cana-3473	56	53	)	)	PUNCT
cana-3473	56	54	.	.	PUNCT
cana-3473	57	1	positive	positive	ADJ
cana-3473	57	2	emotions	emotion	NOUN
cana-3473	57	3	during	during	ADP
cana-3473	57	4	interviews	interview	NOUN
cana-3473	57	5	correlated	correlate	VERB
cana-3473	57	6	with	with	ADP
cana-3473	57	7	higher	high	ADJ
cana-3473	57	8	sus	sus	PROPN
cana-3473	57	9	scores	score	NOUN
cana-3473	57	10	(	(	PUNCT
cana-3473	57	11	β	β	X
cana-3473	57	12	=	=	SYM
cana-3473	57	13	1.45	1.45	NUM
cana-3473	57	14	;	;	PUNCT
cana-3473	57	15	96	96	NUM
cana-3473	57	16	%	%	NOUN
cana-3473	57	17	confidence	confidence	NOUN
cana-3473	57	18	interval	interval	NOUN
cana-3473	57	19	(	(	PUNCT
cana-3473	57	20	ci	ci	NOUN
cana-3473	57	21	):	):	PUNCT
cana-3473	57	22	0.42	0.42	NUM
cana-3473	57	23	to	to	ADP
cana-3473	57	24	2.45	2.45	NUM
cana-3473	57	25	;	;	PUNCT
cana-3473	57	26	p	p	X
cana-3473	57	27	=	=	NOUN
cana-3473	57	28	.01	.01	NUM
cana-3473	57	29	)	)	PUNCT
cana-3473	57	30	,	,	PUNCT
cana-3473	57	31	underscoring	underscore	VERB
cana-3473	57	32	the	the	DET
cana-3473	57	33	impact	impact	NOUN
cana-3473	57	34	of	of	ADP
cana-3473	57	35	user	user	NOUN
cana-3473	57	36	experience	experience	NOUN
cana-3473	57	37	on	on	ADP
cana-3473	57	38	technology	technology	NOUN
cana-3473	57	39	acceptance	acceptance	NOUN
cana-3473	57	40	.	.	PUNCT
cana-3473	58	1	however	however	ADV
cana-3473	58	2	,	,	PUNCT
cana-3473	58	3	emotions	emotion	NOUN
cana-3473	58	4	did	do	AUX
cana-3473	58	5	not	not	PART
cana-3473	58	6	significantly	significantly	ADV
cana-3473	58	7	affect	affect	VERB
cana-3473	58	8	use	use	NOUN
cana-3473	58	9	scores	score	NOUN
cana-3473	58	10	.	.	PUNCT
cana-3473	59	1	latent	latent	PROPN
cana-3473	59	2	dirichlet	dirichlet	PROPN
cana-3473	59	3	analysis	analysis	NOUN
cana-3473	59	4	(	(	PUNCT
cana-3473	59	5	lda	lda	PROPN
cana-3473	59	6	)	)	PUNCT
cana-3473	59	7	revealed	reveal	VERB
cana-3473	59	8	distinct	distinct	ADJ
cana-3473	59	9	themes	theme	NOUN
cana-3473	59	10	between	between	ADP
cana-3473	59	11	patients	patient	NOUN
cana-3473	59	12	and	and	CCONJ
cana-3473	59	13	physicians	physician	NOUN
cana-3473	59	14	,	,	PUNCT
cana-3473	59	15	indicating	indicate	VERB
cana-3473	59	16	differences	difference	NOUN
cana-3473	59	17	in	in	ADP
cana-3473	59	18	their	their	PRON
cana-3473	59	19	perspectives	perspective	NOUN
cana-3473	59	20	on	on	ADP
cana-3473	59	21	the	the	DET
cana-3473	59	22	program	program	NOUN
cana-3473	59	23	's	's	PART
cana-3473	59	24	needs	need	NOUN
cana-3473	59	25	.	.	PUNCT
cana-3473	60	1	contact	contact	NOUN
cana-3473	60	2	centers	center	NOUN
cana-3473	60	3	play	play	VERB
cana-3473	60	4	a	a	DET
cana-3473	60	5	vital	vital	ADJ
cana-3473	60	6	role	role	NOUN
cana-3473	60	7	in	in	ADP
cana-3473	60	8	organizations	organization	NOUN
cana-3473	60	9	,	,	PUNCT
cana-3473	60	10	and	and	CCONJ
cana-3473	60	11	the	the	DET
cana-3473	60	12	covid-19	covid-19	PROPN
cana-3473	60	13	pandemic	pandemic	NOUN
cana-3473	60	14	has	have	AUX
cana-3473	60	15	highlighted	highlight	VERB
cana-3473	60	16	their	their	PRON
cana-3473	60	17	importance	importance	NOUN
cana-3473	60	18	in	in	ADP
cana-3473	60	19	maintaining	maintain	VERB
cana-3473	60	20	business	business	NOUN
cana-3473	60	21	continuity	continuity	NOUN
cana-3473	60	22	,	,	PUNCT
cana-3473	60	23	financial	financial	ADJ
cana-3473	60	24	performance	performance	NOUN
cana-3473	60	25	,	,	PUNCT
cana-3473	60	26	and	and	CCONJ
cana-3473	60	27	customer	customer	NOUN
cana-3473	60	28	support	support	NOUN
cana-3473	60	29	.	.	PUNCT
cana-3473	61	1	the	the	DET
cana-3473	61	2	surge	surge	NOUN
cana-3473	61	3	in	in	ADP
cana-3473	61	4	pandemic	pandemic	ADJ
cana-3473	61	5	-	-	PUNCT
cana-3473	61	6	related	relate	VERB
cana-3473	61	7	calls	call	NOUN
cana-3473	61	8	has	have	AUX
cana-3473	61	9	prompted	prompt	VERB
cana-3473	61	10	organizations	organization	NOUN
cana-3473	61	11	to	to	PART
cana-3473	61	12	reevaluate	reevaluate	VERB
cana-3473	61	13	call	call	NOUN
cana-3473	61	14	center	center	NOUN
cana-3473	61	15	operations	operation	NOUN
cana-3473	61	16	.	.	PUNCT
cana-3473	62	1	many	many	ADJ
cana-3473	62	2	are	be	AUX
cana-3473	62	3	now	now	ADV
cana-3473	62	4	adopting	adopt	VERB
cana-3473	62	5	next	next	ADJ
cana-3473	62	6	-	-	PUNCT
cana-3473	62	7	generation	generation	NOUN
cana-3473	62	8	machine	machine	NOUN
cana-3473	62	9	learning	learning	NOUN
cana-3473	62	10	and	and	CCONJ
cana-3473	62	11	nlp	nlp	NOUN
cana-3473	62	12	platforms	platform	NOUN
cana-3473	62	13	,	,	PUNCT
cana-3473	62	14	including	include	VERB
cana-3473	62	15	self	self	NOUN
cana-3473	62	16	-	-	PUNCT
cana-3473	62	17	service	service	NOUN
cana-3473	62	18	portals	portal	NOUN
cana-3473	62	19	and	and	CCONJ
cana-3473	62	20	chatbots	chatbot	NOUN
cana-3473	62	21	,	,	PUNCT
cana-3473	62	22	to	to	PART
cana-3473	62	23	enhance	enhance	VERB
cana-3473	62	24	customer	customer	NOUN
cana-3473	62	25	service	service	NOUN
cana-3473	62	26	.	.	PUNCT
cana-3473	63	1	this	this	DET
cana-3473	63	2	literature	literature	NOUN
cana-3473	63	3	review	review	NOUN
cana-3473	63	4	explores	explore	VERB
cana-3473	63	5	the	the	DET
cana-3473	63	6	shift	shift	NOUN
cana-3473	63	7	toward	toward	ADP
cana-3473	63	8	advances	advance	NOUN
cana-3473	63	9	in	in	ADP
cana-3473	63	10	nonlinear	nonlinear	ADJ
cana-3473	63	11	variational	variational	ADJ
cana-3473	63	12	inequalities	inequality	NOUN
cana-3473	63	13	issn	issn	VERB
cana-3473	63	14	:	:	PUNCT
cana-3473	63	15	1092	1092	NUM
cana-3473	63	16	-	-	PUNCT
cana-3473	63	17	910x	910x	NUM
cana-3473	63	18	vol	vol	NOUN
cana-3473	63	19	28	28	NUM
cana-3473	63	20	no	no	NOUN
cana-3473	63	21	.	.	PUNCT
cana-3473	64	1	7s	7	NOUN
cana-3473	64	2	(	(	PUNCT
cana-3473	64	3	2025	2025	NUM
cana-3473	64	4	)	)	PUNCT
cana-3473	64	5	667	667	NUM
cana-3473	64	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3473	64	7	these	these	DET
cana-3473	64	8	innovative	innovative	ADJ
cana-3473	64	9	solutions	solution	NOUN
cana-3473	64	10	,	,	PUNCT
cana-3473	64	11	aiming	aim	VERB
cana-3473	64	12	to	to	PART
cana-3473	64	13	identify	identify	VERB
cana-3473	64	14	research	research	NOUN
cana-3473	64	15	gaps	gap	NOUN
cana-3473	64	16	,	,	PUNCT
cana-3473	64	17	highlight	highlight	VERB
cana-3473	64	18	the	the	DET
cana-3473	64	19	benefits	benefit	NOUN
cana-3473	64	20	of	of	ADP
cana-3473	64	21	nlp	nlp	NOUN
cana-3473	64	22	integration	integration	NOUN
cana-3473	64	23	,	,	PUNCT
cana-3473	64	24	and	and	CCONJ
cana-3473	64	25	address	address	VERB
cana-3473	64	26	the	the	DET
cana-3473	64	27	challenges	challenge	NOUN
cana-3473	64	28	faced	face	VERB
cana-3473	64	29	by	by	ADP
cana-3473	64	30	contact	contact	NOUN
cana-3473	64	31	center	center	NOUN
cana-3473	64	32	organizations	organization	NOUN
cana-3473	64	33	.	.	PUNCT
cana-3473	65	1	by	by	ADP
cana-3473	65	2	examining	examine	VERB
cana-3473	65	3	the	the	DET
cana-3473	65	4	advantages	advantage	NOUN
cana-3473	65	5	and	and	CCONJ
cana-3473	65	6	obstacles	obstacle	NOUN
cana-3473	65	7	,	,	PUNCT
cana-3473	65	8	this	this	DET
cana-3473	65	9	review	review	NOUN
cana-3473	65	10	provides	provide	VERB
cana-3473	65	11	recommendations	recommendation	NOUN
cana-3473	65	12	for	for	ADP
cana-3473	65	13	accelerating	accelerate	VERB
cana-3473	65	14	contact	contact	NOUN
cana-3473	65	15	center	center	NOUN
cana-3473	65	16	automation	automation	NOUN
cana-3473	65	17	and	and	CCONJ
cana-3473	65	18	improving	improve	VERB
cana-3473	65	19	customer	customer	NOUN
cana-3473	65	20	support	support	NOUN
cana-3473	65	21	technologies	technology	NOUN
cana-3473	65	22	.	.	PUNCT
cana-3473	66	1	in	in	ADP
cana-3473	66	2	recent	recent	ADJ
cana-3473	66	3	years	year	NOUN
cana-3473	66	4	,	,	PUNCT
cana-3473	66	5	nlp	nlp	NOUN
cana-3473	66	6	has	have	AUX
cana-3473	66	7	emerged	emerge	VERB
cana-3473	66	8	as	as	ADP
cana-3473	66	9	a	a	DET
cana-3473	66	10	cornerstone	cornerstone	NOUN
cana-3473	66	11	of	of	ADP
cana-3473	66	12	artificial	artificial	ADJ
cana-3473	66	13	intelligence	intelligence	NOUN
cana-3473	66	14	,	,	PUNCT
cana-3473	66	15	driving	drive	VERB
cana-3473	66	16	significant	significant	ADJ
cana-3473	66	17	advancements	advancement	NOUN
cana-3473	66	18	in	in	ADP
cana-3473	66	19	machine	machine	NOUN
cana-3473	66	20	learning	learning	NOUN
cana-3473	66	21	and	and	CCONJ
cana-3473	66	22	language	language	NOUN
cana-3473	66	23	processing	processing	NOUN
cana-3473	66	24	.	.	PUNCT
cana-3473	67	1	one	one	NUM
cana-3473	67	2	of	of	ADP
cana-3473	67	3	the	the	DET
cana-3473	67	4	key	key	ADJ
cana-3473	67	5	applications	application	NOUN
cana-3473	67	6	of	of	ADP
cana-3473	67	7	nlp	nlp	NOUN
cana-3473	67	8	is	be	AUX
cana-3473	67	9	machine	machine	NOUN
cana-3473	67	10	translation	translation	NOUN
cana-3473	67	11	,	,	PUNCT
cana-3473	67	12	which	which	PRON
cana-3473	67	13	plays	play	VERB
cana-3473	67	14	a	a	DET
cana-3473	67	15	vital	vital	ADJ
cana-3473	67	16	role	role	NOUN
cana-3473	67	17	in	in	ADP
cana-3473	67	18	human	human	ADJ
cana-3473	67	19	-	-	PUNCT
cana-3473	67	20	computer	computer	NOUN
cana-3473	67	21	interaction	interaction	NOUN
cana-3473	67	22	.	.	PUNCT
cana-3473	68	1	the	the	DET
cana-3473	68	2	field	field	NOUN
cana-3473	68	3	of	of	ADP
cana-3473	68	4	nlp	nlp	NOUN
cana-3473	68	5	has	have	AUX
cana-3473	68	6	progressed	progress	VERB
cana-3473	68	7	substantially	substantially	ADV
cana-3473	68	8	,	,	PUNCT
cana-3473	68	9	especially	especially	ADV
cana-3473	68	10	with	with	ADP
cana-3473	68	11	the	the	DET
cana-3473	68	12	development	development	NOUN
cana-3473	68	13	of	of	ADP
cana-3473	68	14	neural	neural	ADJ
cana-3473	68	15	network	network	NOUN
cana-3473	68	16	architectures	architecture	NOUN
cana-3473	68	17	that	that	PRON
cana-3473	68	18	provide	provide	VERB
cana-3473	68	19	a	a	DET
cana-3473	68	20	strong	strong	ADJ
cana-3473	68	21	mathematical	mathematical	ADJ
cana-3473	68	22	and	and	CCONJ
cana-3473	68	23	theoretical	theoretical	ADJ
cana-3473	68	24	foundation	foundation	NOUN
cana-3473	68	25	.	.	PUNCT
cana-3473	69	1	sequential	sequential	ADJ
cana-3473	69	2	analysis	analysis	NOUN
cana-3473	69	3	in	in	ADP
cana-3473	69	4	language	language	NOUN
cana-3473	69	5	processing	processing	NOUN
cana-3473	69	6	has	have	AUX
cana-3473	69	7	paved	pave	VERB
cana-3473	69	8	the	the	DET
cana-3473	69	9	way	way	NOUN
cana-3473	69	10	for	for	ADP
cana-3473	69	11	the	the	DET
cana-3473	69	12	exploration	exploration	NOUN
cana-3473	69	13	of	of	ADP
cana-3473	69	14	neural	neural	ADJ
cana-3473	69	15	networks	network	NOUN
cana-3473	69	16	and	and	CCONJ
cana-3473	69	17	established	establish	VERB
cana-3473	69	18	a	a	DET
cana-3473	69	19	framework	framework	NOUN
cana-3473	69	20	for	for	ADP
cana-3473	69	21	multilingual	multilingual	ADJ
cana-3473	69	22	processing	processing	NOUN
cana-3473	69	23	,	,	PUNCT
cana-3473	69	24	which	which	PRON
cana-3473	69	25	is	be	AUX
cana-3473	69	26	particularly	particularly	ADV
cana-3473	69	27	relevant	relevant	ADJ
cana-3473	69	28	in	in	ADP
cana-3473	69	29	multilingual	multilingual	ADJ
cana-3473	69	30	contexts	contexts	NOUN
cana-3473	69	31	.	.	PUNCT
cana-3473	70	1	linguistic	linguistic	ADJ
cana-3473	70	2	convolutional	convolutional	ADJ
cana-3473	70	3	neural	neural	ADJ
cana-3473	70	4	networks	network	NOUN
cana-3473	70	5	(	(	PUNCT
cana-3473	70	6	cnns	cnns	PROPN
cana-3473	70	7	)	)	PUNCT
cana-3473	70	8	have	have	AUX
cana-3473	70	9	been	be	AUX
cana-3473	70	10	developed	develop	VERB
cana-3473	70	11	to	to	PART
cana-3473	70	12	cater	cater	VERB
cana-3473	70	13	to	to	ADP
cana-3473	70	14	speakers	speaker	NOUN
cana-3473	70	15	of	of	ADP
cana-3473	70	16	different	different	ADJ
cana-3473	70	17	languages	language	NOUN
cana-3473	70	18	,	,	PUNCT
cana-3473	70	19	aiming	aim	VERB
cana-3473	70	20	to	to	PART
cana-3473	70	21	provide	provide	VERB
cana-3473	70	22	more	more	ADV
cana-3473	70	23	accessible	accessible	ADJ
cana-3473	70	24	information	information	NOUN
cana-3473	70	25	for	for	ADP
cana-3473	70	26	native	native	ADJ
cana-3473	70	27	speakers	speaker	NOUN
cana-3473	70	28	.	.	PUNCT
cana-3473	71	1	this	this	DET
cana-3473	71	2	study	study	NOUN
cana-3473	71	3	examines	examine	VERB
cana-3473	71	4	the	the	DET
cana-3473	71	5	impact	impact	NOUN
cana-3473	71	6	of	of	ADP
cana-3473	71	7	recent	recent	ADJ
cana-3473	71	8	advancements	advancement	NOUN
cana-3473	71	9	in	in	ADP
cana-3473	71	10	english	english	ADJ
cana-3473	71	11	language	language	NOUN
cana-3473	71	12	processing	processing	NOUN
cana-3473	71	13	on	on	ADP
cana-3473	71	14	language	language	NOUN
cana-3473	71	15	development	development	NOUN
cana-3473	71	16	.	.	PUNCT
cana-3473	72	1	using	use	VERB
cana-3473	72	2	computational	computational	ADJ
cana-3473	72	3	methods	method	NOUN
cana-3473	72	4	,	,	PUNCT
cana-3473	72	5	it	it	PRON
cana-3473	72	6	proposes	propose	VERB
cana-3473	72	7	a	a	DET
cana-3473	72	8	model	model	NOUN
cana-3473	72	9	to	to	PART
cana-3473	72	10	simplify	simplify	VERB
cana-3473	72	11	the	the	DET
cana-3473	72	12	conversion	conversion	NOUN
cana-3473	72	13	of	of	ADP
cana-3473	72	14	spoken	spoken	ADJ
cana-3473	72	15	language	language	NOUN
cana-3473	72	16	into	into	ADP
cana-3473	72	17	written	write	VERB
cana-3473	72	18	text	text	NOUN
cana-3473	72	19	through	through	ADP
cana-3473	72	20	probabilistic	probabilistic	ADJ
cana-3473	72	21	models	model	NOUN
cana-3473	72	22	that	that	PRON
cana-3473	72	23	account	account	VERB
cana-3473	72	24	for	for	ADP
cana-3473	72	25	the	the	DET
cana-3473	72	26	complexity	complexity	NOUN
cana-3473	72	27	of	of	ADP
cana-3473	72	28	language	language	NOUN
cana-3473	72	29	structure	structure	NOUN
cana-3473	72	30	.	.	PUNCT
cana-3473	73	1	this	this	DET
cana-3473	73	2	approach	approach	NOUN
cana-3473	73	3	addresses	address	VERB
cana-3473	73	4	the	the	DET
cana-3473	73	5	challenges	challenge	NOUN
cana-3473	73	6	posed	pose	VERB
cana-3473	73	7	by	by	ADP
cana-3473	73	8	differences	difference	NOUN
cana-3473	73	9	in	in	ADP
cana-3473	73	10	body	body	NOUN
cana-3473	73	11	language	language	NOUN
cana-3473	73	12	and	and	CCONJ
cana-3473	73	13	contributes	contribute	VERB
cana-3473	73	14	to	to	ADP
cana-3473	73	15	broader	broad	ADJ
cana-3473	73	16	language	language	NOUN
cana-3473	73	17	transformations	transformation	NOUN
cana-3473	73	18	.	.	PUNCT
cana-3473	74	1	recent	recent	ADJ
cana-3473	74	2	research	research	NOUN
cana-3473	74	3	has	have	AUX
cana-3473	74	4	focused	focus	VERB
cana-3473	74	5	on	on	ADP
cana-3473	74	6	implementing	implement	VERB
cana-3473	74	7	cnns	cnn	NOUN
cana-3473	74	8	and	and	CCONJ
cana-3473	74	9	attention	attention	NOUN
cana-3473	74	10	models	model	NOUN
cana-3473	74	11	,	,	PUNCT
cana-3473	74	12	which	which	PRON
cana-3473	74	13	have	have	AUX
cana-3473	74	14	proven	prove	VERB
cana-3473	74	15	effective	effective	ADJ
cana-3473	74	16	in	in	ADP
cana-3473	74	17	cross	cross	ADJ
cana-3473	74	18	-	-	ADJ
cana-3473	74	19	language	language	NOUN
cana-3473	74	20	tasks	task	NOUN
cana-3473	74	21	.	.	PUNCT
cana-3473	75	1	the	the	DET
cana-3473	75	2	statistical	statistical	ADJ
cana-3473	75	3	distribution	distribution	NOUN
cana-3473	75	4	of	of	ADP
cana-3473	75	5	these	these	DET
cana-3473	75	6	models	model	NOUN
cana-3473	75	7	and	and	CCONJ
cana-3473	75	8	their	their	PRON
cana-3473	75	9	performance	performance	NOUN
cana-3473	75	10	in	in	ADP
cana-3473	75	11	various	various	ADJ
cana-3473	75	12	linguistic	linguistic	ADJ
cana-3473	75	13	contexts	context	NOUN
cana-3473	75	14	are	be	AUX
cana-3473	75	15	discussed	discuss	VERB
cana-3473	75	16	.	.	PUNCT
cana-3473	76	1	this	this	DET
cana-3473	76	2	paper	paper	NOUN
cana-3473	76	3	also	also	ADV
cana-3473	76	4	highlights	highlight	VERB
cana-3473	76	5	the	the	DET
cana-3473	76	6	challenges	challenge	NOUN
cana-3473	76	7	of	of	ADP
cana-3473	76	8	achieving	achieve	VERB
cana-3473	76	9	accurate	accurate	ADJ
cana-3473	76	10	speech	speech	NOUN
cana-3473	76	11	recognition	recognition	NOUN
cana-3473	76	12	in	in	ADP
cana-3473	76	13	noisy	noisy	ADJ
cana-3473	76	14	environments	environment	NOUN
cana-3473	76	15	,	,	PUNCT
cana-3473	76	16	emphasizing	emphasize	VERB
cana-3473	76	17	the	the	DET
cana-3473	76	18	difficulty	difficulty	NOUN
cana-3473	76	19	of	of	ADP
cana-3473	76	20	eliminating	eliminate	VERB
cana-3473	76	21	interference	interference	NOUN
cana-3473	76	22	in	in	ADP
cana-3473	76	23	language	language	NOUN
cana-3473	76	24	processing	processing	NOUN
cana-3473	76	25	.	.	PUNCT
cana-3473	77	1	the	the	DET
cana-3473	77	2	integration	integration	NOUN
cana-3473	77	3	of	of	ADP
cana-3473	77	4	open	open	ADJ
cana-3473	77	5	learning	learning	NOUN
cana-3473	77	6	and	and	CCONJ
cana-3473	77	7	text	text	NOUN
cana-3473	77	8	mining	mining	NOUN
cana-3473	77	9	for	for	ADP
cana-3473	77	10	the	the	DET
cana-3473	77	11	automated	automate	VERB
cana-3473	77	12	analysis	analysis	NOUN
cana-3473	77	13	of	of	ADP
cana-3473	77	14	customer	customer	NOUN
cana-3473	77	15	feedback	feedback	NOUN
cana-3473	77	16	has	have	AUX
cana-3473	77	17	gained	gain	VERB
cana-3473	77	18	attention	attention	NOUN
cana-3473	77	19	in	in	ADP
cana-3473	77	20	recent	recent	ADJ
cana-3473	77	21	research	research	NOUN
cana-3473	77	22	.	.	PUNCT
cana-3473	78	1	language	language	NOUN
cana-3473	78	2	-	-	PUNCT
cana-3473	78	3	based	base	VERB
cana-3473	78	4	text	text	NOUN
cana-3473	78	5	mining	mining	NOUN
cana-3473	78	6	models	model	NOUN
cana-3473	78	7	,	,	PUNCT
cana-3473	78	8	such	such	ADJ
cana-3473	78	9	as	as	ADP
cana-3473	78	10	those	those	PRON
cana-3473	78	11	used	use	VERB
cana-3473	78	12	in	in	ADP
cana-3473	78	13	the	the	DET
cana-3473	78	14	arc	arc	NOUN
cana-3473	78	15	framework	framework	NOUN
cana-3473	78	16	,	,	PUNCT
cana-3473	78	17	have	have	AUX
cana-3473	78	18	shown	show	VERB
cana-3473	78	19	effectiveness	effectiveness	NOUN
cana-3473	78	20	in	in	ADP
cana-3473	78	21	capturing	capture	VERB
cana-3473	78	22	language	language	NOUN
cana-3473	78	23	patterns	pattern	NOUN
cana-3473	78	24	,	,	PUNCT
cana-3473	78	25	with	with	ADP
cana-3473	78	26	a	a	DET
cana-3473	78	27	reported	report	VERB
cana-3473	78	28	accuracy	accuracy	NOUN
cana-3473	78	29	of	of	ADP
cana-3473	78	30	92	92	NUM
cana-3473	78	31	%	%	NOUN
cana-3473	78	32	.	.	PUNCT
cana-3473	79	1	this	this	DET
cana-3473	79	2	highlights	highlight	VERB
cana-3473	79	3	the	the	DET
cana-3473	79	4	utility	utility	NOUN
cana-3473	79	5	of	of	ADP
cana-3473	79	6	text	text	NOUN
cana-3473	79	7	mining	mining	NOUN
cana-3473	79	8	in	in	ADP
cana-3473	79	9	understanding	understand	VERB
cana-3473	79	10	customer	customer	NOUN
cana-3473	79	11	opinions	opinion	NOUN
cana-3473	79	12	and	and	CCONJ
cana-3473	79	13	identifying	identify	VERB
cana-3473	79	14	key	key	ADJ
cana-3473	79	15	areas	area	NOUN
cana-3473	79	16	in	in	ADP
cana-3473	79	17	service	service	NOUN
cana-3473	79	18	processes	process	NOUN
cana-3473	79	19	that	that	PRON
cana-3473	79	20	generate	generate	VERB
cana-3473	79	21	compliments	compliment	NOUN
cana-3473	79	22	and	and	CCONJ
cana-3473	79	23	complaints	complaint	NOUN
cana-3473	79	24	.	.	PUNCT
cana-3473	80	1	for	for	ADP
cana-3473	80	2	organizations	organization	NOUN
cana-3473	80	3	,	,	PUNCT
cana-3473	80	4	the	the	DET
cana-3473	80	5	speed	speed	NOUN
cana-3473	80	6	and	and	CCONJ
cana-3473	80	7	accuracy	accuracy	NOUN
cana-3473	80	8	of	of	ADP
cana-3473	80	9	these	these	DET
cana-3473	80	10	models	model	NOUN
cana-3473	80	11	are	be	AUX
cana-3473	80	12	crucial	crucial	ADJ
cana-3473	80	13	for	for	ADP
cana-3473	80	14	quickly	quickly	ADV
cana-3473	80	15	diagnosing	diagnose	VERB
cana-3473	80	16	and	and	CCONJ
cana-3473	80	17	addressing	address	VERB
cana-3473	80	18	customer	customer	NOUN
cana-3473	80	19	concerns	concern	NOUN
cana-3473	80	20	,	,	PUNCT
cana-3473	80	21	providing	provide	VERB
cana-3473	80	22	insights	insight	NOUN
cana-3473	80	23	that	that	PRON
cana-3473	80	24	go	go	VERB
cana-3473	80	25	beyond	beyond	ADP
cana-3473	80	26	traditional	traditional	ADJ
cana-3473	80	27	quantitative	quantitative	ADJ
cana-3473	80	28	research	research	NOUN
cana-3473	80	29	.	.	PUNCT
cana-3473	81	1	our	our	PRON
cana-3473	81	2	primary	primary	ADJ
cana-3473	81	3	research	research	NOUN
cana-3473	81	4	objective	objective	NOUN
cana-3473	81	5	is	be	AUX
cana-3473	81	6	to	to	PART
cana-3473	81	7	develop	develop	VERB
cana-3473	81	8	a	a	DET
cana-3473	81	9	robust	robust	ADJ
cana-3473	81	10	and	and	CCONJ
cana-3473	81	11	accurate	accurate	ADJ
cana-3473	81	12	emotion	emotion	NOUN
cana-3473	81	13	analysis	analysis	NOUN
cana-3473	81	14	model	model	NOUN
cana-3473	81	15	for	for	ADP
cana-3473	81	16	audio	audio	ADJ
cana-3473	81	17	data	datum	NOUN
cana-3473	81	18	using	use	VERB
cana-3473	81	19	nlp	nlp	NOUN
cana-3473	81	20	techniques	technique	NOUN
cana-3473	81	21	.	.	PUNCT
cana-3473	82	1	this	this	DET
cana-3473	82	2	model	model	NOUN
cana-3473	82	3	will	will	AUX
cana-3473	82	4	process	process	VERB
cana-3473	82	5	and	and	CCONJ
cana-3473	82	6	analyze	analyze	VERB
cana-3473	82	7	audio	audio	ADJ
cana-3473	82	8	signals	signal	NOUN
cana-3473	82	9	,	,	PUNCT
cana-3473	82	10	extracting	extract	VERB
cana-3473	82	11	useful	useful	ADJ
cana-3473	82	12	features	feature	NOUN
cana-3473	82	13	for	for	ADP
cana-3473	82	14	emotion	emotion	NOUN
cana-3473	82	15	classification	classification	NOUN
cana-3473	82	16	to	to	PART
cana-3473	82	17	enhance	enhance	VERB
cana-3473	82	18	the	the	DET
cana-3473	82	19	understanding	understanding	NOUN
cana-3473	82	20	of	of	ADP
cana-3473	82	21	human	human	ADJ
cana-3473	82	22	speech	speech	NOUN
cana-3473	82	23	.	.	PUNCT
cana-3473	83	1	getting	get	VERB
cana-3473	83	2	this	this	DET
cana-3473	83	3	process	process	NOUN
cana-3473	83	4	right	right	NOUN
cana-3473	83	5	is	be	AUX
cana-3473	83	6	key	key	ADJ
cana-3473	83	7	to	to	ADP
cana-3473	83	8	unlocking	unlock	VERB
cana-3473	83	9	the	the	DET
cana-3473	83	10	full	full	ADJ
cana-3473	83	11	potential	potential	NOUN
cana-3473	83	12	of	of	ADP
cana-3473	83	13	emotion	emotion	NOUN
cana-3473	83	14	analysis	analysis	NOUN
cana-3473	83	15	in	in	ADP
cana-3473	83	16	the	the	DET
cana-3473	83	17	audio	audio	ADJ
cana-3473	83	18	domain	domain	NOUN
cana-3473	83	19	,	,	PUNCT
cana-3473	83	20	improving	improve	VERB
cana-3473	83	21	applications	application	NOUN
cana-3473	83	22	that	that	PRON
cana-3473	83	23	rely	rely	VERB
cana-3473	83	24	on	on	ADP
cana-3473	83	25	such	such	ADJ
cana-3473	83	26	analysis	analysis	NOUN
cana-3473	83	27	.	.	PUNCT
cana-3473	84	1	limitations	limitation	NOUN
cana-3473	84	2	:	:	PUNCT
cana-3473	84	3	1	1	X
cana-3473	84	4	.	.	X
cana-3473	84	5	data	datum	NOUN
cana-3473	84	6	quality	quality	NOUN
cana-3473	84	7	audio	audio	NOUN
cana-3473	84	8	data	datum	NOUN
cana-3473	84	9	and	and	CCONJ
cana-3473	84	10	emotional	emotional	ADJ
cana-3473	84	11	signals	signal	NOUN
cana-3473	84	12	can	can	AUX
cana-3473	84	13	vary	vary	VERB
cana-3473	84	14	in	in	ADP
cana-3473	84	15	quality	quality	NOUN
cana-3473	84	16	,	,	PUNCT
cana-3473	84	17	which	which	PRON
cana-3473	84	18	can	can	AUX
cana-3473	84	19	pose	pose	VERB
cana-3473	84	20	challenges	challenge	NOUN
cana-3473	84	21	for	for	ADP
cana-3473	84	22	our	our	PRON
cana-3473	84	23	models	model	NOUN
cana-3473	84	24	to	to	PART
cana-3473	84	25	learn	learn	VERB
cana-3473	84	26	effectively	effectively	ADV
cana-3473	84	27	.	.	PUNCT
cana-3473	85	1	ensuring	ensure	VERB
cana-3473	85	2	the	the	DET
cana-3473	85	3	accuracy	accuracy	NOUN
cana-3473	85	4	of	of	ADP
cana-3473	85	5	data	datum	NOUN
cana-3473	85	6	processing	processing	NOUN
cana-3473	85	7	may	may	AUX
cana-3473	85	8	require	require	VERB
cana-3473	85	9	additional	additional	ADJ
cana-3473	85	10	time	time	NOUN
cana-3473	85	11	and	and	CCONJ
cana-3473	85	12	effort	effort	NOUN
cana-3473	85	13	to	to	PART
cana-3473	85	14	refine	refine	VERB
cana-3473	85	15	the	the	DET
cana-3473	85	16	data	datum	NOUN
cana-3473	85	17	before	before	ADP
cana-3473	85	18	progressing	progress	VERB
cana-3473	85	19	further	far	ADV
cana-3473	85	20	.	.	PUNCT
cana-3473	86	1	2	2	X
cana-3473	86	2	.	.	X
cana-3473	86	3	model	model	NOUN
cana-3473	86	4	development	development	NOUN
cana-3473	86	5	our	our	PRON
cana-3473	86	6	model	model	NOUN
cana-3473	86	7	may	may	AUX
cana-3473	86	8	struggle	struggle	VERB
cana-3473	86	9	to	to	PART
cana-3473	86	10	handle	handle	VERB
cana-3473	86	11	all	all	DET
cana-3473	86	12	types	type	NOUN
cana-3473	86	13	of	of	ADP
cana-3473	86	14	data	datum	NOUN
cana-3473	86	15	and	and	CCONJ
cana-3473	86	16	audio	audio	NOUN
cana-3473	86	17	languages	language	NOUN
cana-3473	86	18	effectively	effectively	ADV
cana-3473	86	19	.	.	PUNCT
cana-3473	87	1	adapting	adapt	VERB
cana-3473	87	2	it	it	PRON
cana-3473	87	3	to	to	ADP
cana-3473	87	4	speech	speech	NOUN
cana-3473	87	5	-	-	PUNCT
cana-3473	87	6	to	to	ADP
cana-3473	87	7	-	-	PUNCT
cana-3473	87	8	text	text	NOUN
cana-3473	87	9	nlp	nlp	NOUN
cana-3473	87	10	techniques	technique	NOUN
cana-3473	87	11	is	be	AUX
cana-3473	87	12	proving	prove	VERB
cana-3473	87	13	to	to	PART
cana-3473	87	14	be	be	AUX
cana-3473	87	15	more	more	ADV
cana-3473	87	16	complex	complex	ADJ
cana-3473	87	17	than	than	SCONJ
cana-3473	87	18	initially	initially	ADV
cana-3473	87	19	expected	expect	VERB
cana-3473	87	20	.	.	PUNCT
cana-3473	88	1	this	this	DET
cana-3473	88	2	complexity	complexity	NOUN
cana-3473	88	3	could	could	AUX
cana-3473	88	4	slow	slow	VERB
cana-3473	88	5	our	our	PRON
cana-3473	88	6	progress	progress	NOUN
cana-3473	88	7	and	and	CCONJ
cana-3473	88	8	may	may	AUX
cana-3473	88	9	limit	limit	VERB
cana-3473	88	10	the	the	DET
cana-3473	88	11	scalability	scalability	NOUN
cana-3473	88	12	of	of	ADP
cana-3473	88	13	the	the	DET
cana-3473	88	14	model	model	NOUN
cana-3473	88	15	.	.	PUNCT
cana-3473	89	1	advances	advance	NOUN
cana-3473	89	2	in	in	ADP
cana-3473	89	3	nonlinear	nonlinear	ADJ
cana-3473	89	4	variational	variational	ADJ
cana-3473	89	5	inequalities	inequality	NOUN
cana-3473	89	6	issn	issn	VERB
cana-3473	89	7	:	:	PUNCT
cana-3473	89	8	1092	1092	NUM
cana-3473	89	9	-	-	PUNCT
cana-3473	89	10	910x	910x	NUM
cana-3473	89	11	vol	vol	NOUN
cana-3473	89	12	28	28	NUM
cana-3473	89	13	no	no	NOUN
cana-3473	89	14	.	.	PUNCT
cana-3473	90	1	7s	7	NOUN
cana-3473	90	2	(	(	PUNCT
cana-3473	90	3	2025	2025	NUM
cana-3473	90	4	)	)	PUNCT
cana-3473	90	5	668	668	NUM
cana-3473	90	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3473	90	7	3	3	X
cana-3473	90	8	.	.	PUNCT
cana-3473	90	9	resource	resource	NOUN
cana-3473	90	10	constraints	constraint	VERB
cana-3473	90	11	the	the	DET
cana-3473	90	12	available	available	ADJ
cana-3473	90	13	computational	computational	ADJ
cana-3473	90	14	power	power	NOUN
cana-3473	90	15	and	and	CCONJ
cana-3473	90	16	time	time	NOUN
cana-3473	90	17	may	may	AUX
cana-3473	90	18	not	not	PART
cana-3473	90	19	be	be	AUX
cana-3473	90	20	sufficient	sufficient	ADJ
cana-3473	90	21	to	to	PART
cana-3473	90	22	accomplish	accomplish	VERB
cana-3473	90	23	all	all	DET
cana-3473	90	24	objectives	objective	NOUN
cana-3473	90	25	in	in	ADP
cana-3473	90	26	this	this	DET
cana-3473	90	27	study	study	NOUN
cana-3473	90	28	.	.	PUNCT
cana-3473	91	1	these	these	DET
cana-3473	91	2	limitations	limitation	NOUN
cana-3473	91	3	could	could	AUX
cana-3473	91	4	restrict	restrict	VERB
cana-3473	91	5	the	the	DET
cana-3473	91	6	size	size	NOUN
cana-3473	91	7	of	of	ADP
cana-3473	91	8	the	the	DET
cana-3473	91	9	tests	test	NOUN
cana-3473	91	10	we	we	PRON
cana-3473	91	11	can	can	AUX
cana-3473	91	12	conduct	conduct	VERB
cana-3473	91	13	or	or	CCONJ
cana-3473	91	14	reduce	reduce	VERB
cana-3473	91	15	the	the	DET
cana-3473	91	16	complexity	complexity	NOUN
cana-3473	91	17	of	of	ADP
cana-3473	91	18	the	the	DET
cana-3473	91	19	models	model	NOUN
cana-3473	91	20	we	we	PRON
cana-3473	91	21	are	be	AUX
cana-3473	91	22	able	able	ADJ
cana-3473	91	23	to	to	PART
cana-3473	91	24	test	test	VERB
cana-3473	91	25	.	.	PUNCT
cana-3473	92	1	4	4	X
cana-3473	92	2	.	.	X
cana-3473	92	3	evaluation	evaluation	NOUN
cana-3473	92	4	metrics	metric	NOUN
cana-3473	92	5	the	the	DET
cana-3473	92	6	standard	standard	ADJ
cana-3473	92	7	evaluation	evaluation	NOUN
cana-3473	92	8	metrics	metric	NOUN
cana-3473	92	9	we	we	PRON
cana-3473	92	10	currently	currently	ADV
cana-3473	92	11	use	use	VERB
cana-3473	92	12	may	may	AUX
cana-3473	92	13	not	not	PART
cana-3473	92	14	capture	capture	VERB
cana-3473	92	15	all	all	DET
cana-3473	92	16	the	the	DET
cana-3473	92	17	nuances	nuance	NOUN
cana-3473	92	18	of	of	ADP
cana-3473	92	19	audio	audio	ADJ
cana-3473	92	20	analysis	analysis	NOUN
cana-3473	92	21	.	.	PUNCT
cana-3473	93	1	this	this	PRON
cana-3473	93	2	makes	make	VERB
cana-3473	93	3	it	it	PRON
cana-3473	93	4	difficult	difficult	ADJ
cana-3473	93	5	to	to	PART
cana-3473	93	6	fully	fully	ADV
cana-3473	93	7	understand	understand	VERB
cana-3473	93	8	how	how	SCONJ
cana-3473	93	9	well	well	ADV
cana-3473	93	10	our	our	PRON
cana-3473	93	11	model	model	NOUN
cana-3473	93	12	performs	perform	VERB
cana-3473	93	13	.	.	PUNCT
cana-3473	94	1	we	we	PRON
cana-3473	94	2	may	may	AUX
cana-3473	94	3	need	need	VERB
cana-3473	94	4	to	to	PART
cana-3473	94	5	explore	explore	VERB
cana-3473	94	6	alternative	alternative	ADJ
cana-3473	94	7	metrics	metric	NOUN
cana-3473	94	8	or	or	CCONJ
cana-3473	94	9	simpler	simple	ADJ
cana-3473	94	10	ways	way	NOUN
cana-3473	94	11	to	to	PART
cana-3473	94	12	evaluate	evaluate	VERB
cana-3473	94	13	model	model	NOUN
cana-3473	94	14	performance	performance	NOUN
cana-3473	94	15	.	.	PUNCT
cana-3473	95	1	three	three	NUM
cana-3473	95	2	-	-	PUNCT
cana-3473	95	3	class	class	NOUN
cana-3473	95	4	sentiment	sentiment	NOUN
cana-3473	95	5	analysis	analysis	NOUN
cana-3473	95	6	to	to	PART
cana-3473	95	7	handle	handle	VERB
cana-3473	95	8	three	three	NUM
cana-3473	95	9	-	-	PUNCT
cana-3473	95	10	class	class	NOUN
cana-3473	95	11	sentiment	sentiment	NOUN
cana-3473	95	12	analysis	analysis	NOUN
cana-3473	95	13	(	(	PUNCT
cana-3473	95	14	positive	positive	ADJ
cana-3473	95	15	,	,	PUNCT
cana-3473	95	16	negative	negative	ADJ
cana-3473	95	17	,	,	PUNCT
cana-3473	95	18	neutral	neutral	ADJ
cana-3473	95	19	)	)	PUNCT
cana-3473	95	20	,	,	PUNCT
cana-3473	95	21	you	you	PRON
cana-3473	95	22	can	can	AUX
cana-3473	95	23	follow	follow	VERB
cana-3473	95	24	the	the	DET
cana-3473	95	25	steps	step	NOUN
cana-3473	95	26	below	below	ADP
cana-3473	95	27	:	:	PUNCT
cana-3473	95	28	1	1	X
cana-3473	95	29	.	.	X
cana-3473	95	30	problem	problem	NOUN
cana-3473	95	31	definition	definition	NOUN
cana-3473	95	32	objective	objective	NOUN
cana-3473	95	33	:	:	PUNCT
cana-3473	95	34	classify	classify	VERB
cana-3473	95	35	text	text	NOUN
cana-3473	95	36	into	into	ADP
cana-3473	95	37	one	one	NUM
cana-3473	95	38	of	of	ADP
cana-3473	95	39	three	three	NUM
cana-3473	95	40	categories	category	NOUN
cana-3473	95	41	—	—	PUNCT
cana-3473	95	42	positive	positive	ADJ
cana-3473	95	43	,	,	PUNCT
cana-3473	95	44	negative	negative	ADJ
cana-3473	95	45	,	,	PUNCT
cana-3473	95	46	or	or	CCONJ
cana-3473	95	47	neutral	neutral	ADJ
cana-3473	95	48	sentiment	sentiment	NOUN
cana-3473	95	49	.	.	PUNCT
cana-3473	96	1	2	2	X
cana-3473	96	2	.	.	X
cana-3473	96	3	data	datum	NOUN
cana-3473	96	4	collection	collection	NOUN
cana-3473	96	5	•	•	NUM
cana-3473	96	6	datasets	dataset	NOUN
cana-3473	96	7	:	:	PUNCT
cana-3473	96	8	you	you	PRON
cana-3473	96	9	can	can	AUX
cana-3473	96	10	use	use	VERB
cana-3473	96	11	publicly	publicly	ADV
cana-3473	96	12	available	available	ADJ
cana-3473	96	13	datasets	dataset	NOUN
cana-3473	96	14	or	or	CCONJ
cana-3473	96	15	collect	collect	VERB
cana-3473	96	16	your	your	PRON
cana-3473	96	17	own	own	ADJ
cana-3473	96	18	.	.	PUNCT
cana-3473	97	1	examples	example	NOUN
cana-3473	97	2	include	include	VERB
cana-3473	97	3	:	:	PUNCT
cana-3473	97	4	•	•	ADP
cana-3473	97	5	sentiment140	sentiment140	PROPN
cana-3473	97	6	:	:	PUNCT
cana-3473	97	7	contains	contain	VERB
cana-3473	97	8	tweets	tweet	NOUN
cana-3473	97	9	labeled	label	VERB
cana-3473	97	10	as	as	ADP
cana-3473	97	11	positive	positive	ADJ
cana-3473	97	12	,	,	PUNCT
cana-3473	97	13	negative	negative	ADJ
cana-3473	97	14	,	,	PUNCT
cana-3473	97	15	or	or	CCONJ
cana-3473	97	16	neutral	neutral	ADJ
cana-3473	97	17	.	.	PUNCT
cana-3473	98	1	•	•	NUM
cana-3473	98	2	yelp	yelp	NOUN
cana-3473	98	3	reviews	review	NOUN
cana-3473	98	4	:	:	PUNCT
cana-3473	98	5	reviews	review	NOUN
cana-3473	98	6	labeled	label	VERB
cana-3473	98	7	as	as	ADP
cana-3473	98	8	positive	positive	ADJ
cana-3473	98	9	,	,	PUNCT
cana-3473	98	10	negative	negative	ADJ
cana-3473	98	11	,	,	PUNCT
cana-3473	98	12	or	or	CCONJ
cana-3473	98	13	neutral	neutral	ADJ
cana-3473	98	14	.	.	PUNCT
cana-3473	99	1	•	•	NUM
cana-3473	99	2	custom	custom	NOUN
cana-3473	99	3	datasets	dataset	NOUN
cana-3473	99	4	:	:	PUNCT
cana-3473	99	5	you	you	PRON
cana-3473	99	6	can	can	AUX
cana-3473	99	7	create	create	VERB
cana-3473	99	8	your	your	PRON
cana-3473	99	9	own	own	ADJ
cana-3473	99	10	dataset	dataset	NOUN
cana-3473	99	11	by	by	ADP
cana-3473	99	12	labeling	label	VERB
cana-3473	99	13	specific	specific	ADJ
cana-3473	99	14	text	text	NOUN
cana-3473	99	15	data	datum	NOUN
cana-3473	99	16	.	.	PUNCT
cana-3473	100	1	3	3	X
cana-3473	100	2	.	.	X
cana-3473	100	3	data	datum	NOUN
cana-3473	100	4	preprocessing	preprocesse	VERB
cana-3473	100	5	•	•	NUM
cana-3473	100	6	remove	remove	NOUN
cana-3473	100	7	urls	url	NOUN
cana-3473	100	8	,	,	PUNCT
cana-3473	100	9	usernames	username	NOUN
cana-3473	100	10	(	(	PUNCT
cana-3473	100	11	e.g.	e.g.	ADV
cana-3473	100	12	,	,	PUNCT
cana-3473	100	13	@username	@username	PROPN
cana-3473	100	14	)	)	PUNCT
cana-3473	100	15	,	,	PUNCT
cana-3473	100	16	and	and	CCONJ
cana-3473	100	17	hashtags	hashtag	NOUN
cana-3473	100	18	.	.	PUNCT
cana-3473	101	1	•	•	NUM
cana-3473	101	2	remove	remove	VERB
cana-3473	101	3	punctuation	punctuation	NOUN
cana-3473	101	4	,	,	PUNCT
cana-3473	101	5	numbers	number	NOUN
cana-3473	101	6	,	,	PUNCT
cana-3473	101	7	and	and	CCONJ
cana-3473	101	8	special	special	ADJ
cana-3473	101	9	characters	character	NOUN
cana-3473	101	10	.	.	PUNCT
cana-3473	102	1	•	•	NUM
cana-3473	102	2	convert	convert	VERB
cana-3473	102	3	all	all	DET
cana-3473	102	4	text	text	NOUN
cana-3473	102	5	to	to	PART
cana-3473	102	6	lowercase	lowercase	VERB
cana-3473	102	7	for	for	ADP
cana-3473	102	8	uniformity	uniformity	NOUN
cana-3473	102	9	.	.	PUNCT
cana-3473	103	1	•	•	NUM
cana-3473	103	2	tokenize	tokenize	VERB
cana-3473	103	3	the	the	DET
cana-3473	103	4	text	text	NOUN
cana-3473	103	5	into	into	ADP
cana-3473	103	6	words	word	NOUN
cana-3473	103	7	or	or	CCONJ
cana-3473	103	8	symbols	symbol	NOUN
cana-3473	103	9	.	.	PUNCT
cana-3473	104	1	•	•	NUM
cana-3473	104	2	optional	optional	ADJ
cana-3473	104	3	:	:	PUNCT
cana-3473	104	4	•	•	NOUN
cana-3473	104	5	stop	stop	VERB
cana-3473	104	6	word	word	NOUN
cana-3473	104	7	removal	removal	NOUN
cana-3473	104	8	:	:	PUNCT
cana-3473	104	9	remove	remove	VERB
cana-3473	104	10	common	common	ADJ
cana-3473	104	11	words	word	NOUN
cana-3473	104	12	that	that	PRON
cana-3473	104	13	do	do	AUX
cana-3473	104	14	n’t	not	PART
cana-3473	104	15	contribute	contribute	VERB
cana-3473	104	16	much	much	ADV
cana-3473	104	17	to	to	ADP
cana-3473	104	18	sentiment	sentiment	NOUN
cana-3473	104	19	(	(	PUNCT
cana-3473	104	20	e.g.	e.g.	ADV
cana-3473	104	21	,	,	PUNCT
cana-3473	104	22	"	"	PUNCT
cana-3473	104	23	the	the	PRON
cana-3473	104	24	,	,	PUNCT
cana-3473	104	25	"	"	PUNCT
cana-3473	104	26	"	"	PUNCT
cana-3473	104	27	is	be	AUX
cana-3473	104	28	,	,	PUNCT
cana-3473	104	29	"	"	PUNCT
cana-3473	104	30	"	"	PUNCT
cana-3473	104	31	and	and	CCONJ
cana-3473	104	32	"	"	PUNCT
cana-3473	104	33	)	)	PUNCT
cana-3473	104	34	.	.	PUNCT
cana-3473	105	1	•	•	NUM
cana-3473	105	2	lemmatization	lemmatization	NOUN
cana-3473	105	3	/	/	SYM
cana-3473	105	4	stemming	stemming	NOUN
cana-3473	105	5	:	:	PUNCT
cana-3473	105	6	reduce	reduce	VERB
cana-3473	105	7	words	word	NOUN
cana-3473	105	8	to	to	ADP
cana-3473	105	9	their	their	PRON
cana-3473	105	10	base	base	NOUN
cana-3473	105	11	form	form	NOUN
cana-3473	105	12	(	(	PUNCT
cana-3473	105	13	e.g.	e.g.	ADV
cana-3473	105	14	,	,	PUNCT
cana-3473	105	15	"	"	PUNCT
cana-3473	105	16	running	run	VERB
cana-3473	105	17	"	"	PUNCT
cana-3473	105	18	to	to	PART
cana-3473	105	19	"	"	PUNCT
cana-3473	105	20	run	run	VERB
cana-3473	105	21	"	"	PUNCT
cana-3473	105	22	)	)	PUNCT
cana-3473	105	23	.	.	PUNCT
cana-3473	106	1	4	4	X
cana-3473	106	2	.	.	X
cana-3473	106	3	feature	feature	NOUN
cana-3473	106	4	extraction	extraction	NOUN
cana-3473	106	5	•	•	NUM
cana-3473	106	6	bag	bag	NOUN
cana-3473	106	7	of	of	ADP
cana-3473	106	8	words	word	NOUN
cana-3473	106	9	(	(	PUNCT
cana-3473	106	10	bow	bow	NOUN
cana-3473	106	11	):	):	PUNCT
cana-3473	106	12	convert	convert	NOUN
cana-3473	106	13	text	text	NOUN
cana-3473	106	14	into	into	ADP
cana-3473	106	15	numeric	numeric	ADJ
cana-3473	106	16	representations	representation	NOUN
cana-3473	106	17	.	.	PUNCT
cana-3473	107	1	•	•	NUM
cana-3473	107	2	tf	tf	NUM
cana-3473	107	3	-	-	PUNCT
cana-3473	107	4	idf	idf	ADJ
cana-3473	107	5	(	(	PUNCT
cana-3473	107	6	term	term	NOUN
cana-3473	107	7	frequency	frequency	NOUN
cana-3473	107	8	-	-	PUNCT
cana-3473	107	9	inverse	inverse	NOUN
cana-3473	107	10	document	document	NOUN
cana-3473	107	11	frequency	frequency	NOUN
cana-3473	107	12	):	):	PUNCT
cana-3473	107	13	measure	measure	NOUN
cana-3473	107	14	the	the	DET
cana-3473	107	15	importance	importance	NOUN
cana-3473	107	16	of	of	ADP
cana-3473	107	17	terms	term	NOUN
cana-3473	107	18	within	within	ADP
cana-3473	107	19	the	the	DET
cana-3473	107	20	dataset	dataset	NOUN
cana-3473	107	21	.	.	PUNCT
cana-3473	108	1	•	•	NUM
cana-3473	108	2	word	word	NOUN
cana-3473	108	3	embeddings	embedding	NOUN
cana-3473	108	4	:	:	PUNCT
cana-3473	108	5	use	use	VERB
cana-3473	108	6	pre	pre	ADJ
cana-3473	108	7	-	-	ADJ
cana-3473	108	8	trained	train	VERB
cana-3473	108	9	embeddings	embedding	NOUN
cana-3473	108	10	like	like	ADP
cana-3473	108	11	word2vec	word2vec	NOUN
cana-3473	108	12	,	,	PUNCT
cana-3473	108	13	glove	glove	NOUN
cana-3473	108	14	,	,	PUNCT
cana-3473	108	15	or	or	CCONJ
cana-3473	108	16	bert	bert	NOUN
cana-3473	108	17	for	for	ADP
cana-3473	108	18	better	well	ADJ
cana-3473	108	19	context	context	NOUN
cana-3473	108	20	understanding	understanding	NOUN
cana-3473	108	21	.	.	PUNCT
cana-3473	109	1	5	5	X
cana-3473	109	2	.	.	PUNCT
cana-3473	109	3	model	model	NOUN
cana-3473	109	4	selection	selection	NOUN
cana-3473	109	5	•	•	ADP
cana-3473	109	6	logistic	logistic	ADJ
cana-3473	109	7	regression	regression	NOUN
cana-3473	109	8	:	:	PUNCT
cana-3473	109	9	suitable	suitable	ADJ
cana-3473	109	10	for	for	ADP
cana-3473	109	11	simple	simple	ADJ
cana-3473	109	12	and	and	CCONJ
cana-3473	109	13	interpretable	interpretable	ADJ
cana-3473	109	14	models	model	NOUN
cana-3473	109	15	.	.	PUNCT
cana-3473	110	1	•	•	NUM
cana-3473	110	2	naive	naive	ADJ
cana-3473	110	3	bayes	bayes	NOUN
cana-3473	110	4	:	:	PUNCT
cana-3473	110	5	effective	effective	ADJ
cana-3473	110	6	for	for	ADP
cana-3473	110	7	text	text	NOUN
cana-3473	110	8	classification	classification	NOUN
cana-3473	110	9	.	.	PUNCT
cana-3473	111	1	•	•	NOUN
cana-3473	111	2	support	support	NOUN
cana-3473	111	3	vector	vector	NOUN
cana-3473	111	4	machines	machine	NOUN
cana-3473	111	5	(	(	PUNCT
cana-3473	111	6	svm	svm	PROPN
cana-3473	111	7	):	):	PUNCT
cana-3473	111	8	performs	perform	VERB
cana-3473	111	9	well	well	ADV
cana-3473	111	10	in	in	ADP
cana-3473	111	11	high	high	ADJ
cana-3473	111	12	-	-	PUNCT
cana-3473	111	13	dimensional	dimensional	ADJ
cana-3473	111	14	spaces	space	NOUN
cana-3473	111	15	.	.	PUNCT
cana-3473	112	1	advances	advance	NOUN
cana-3473	112	2	in	in	ADP
cana-3473	112	3	nonlinear	nonlinear	ADJ
cana-3473	112	4	variational	variational	ADJ
cana-3473	112	5	inequalities	inequality	NOUN
cana-3473	112	6	issn	issn	VERB
cana-3473	112	7	:	:	PUNCT
cana-3473	112	8	1092	1092	NUM
cana-3473	112	9	-	-	PUNCT
cana-3473	112	10	910x	910x	NUM
cana-3473	112	11	vol	vol	NOUN
cana-3473	112	12	28	28	NUM
cana-3473	112	13	no	no	NOUN
cana-3473	112	14	.	.	PUNCT
cana-3473	113	1	7s	7	NOUN
cana-3473	113	2	(	(	PUNCT
cana-3473	113	3	2025	2025	NUM
cana-3473	113	4	)	)	PUNCT
cana-3473	113	5	669	669	NUM
cana-3473	113	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3473	113	7	•	•	NUM
cana-3473	113	8	deep	deep	ADJ
cana-3473	113	9	learning	learning	NOUN
cana-3473	113	10	models	model	NOUN
cana-3473	113	11	:	:	PUNCT
cana-3473	113	12	•	•	NUM
cana-3473	113	13	lstm	lstm	PROPN
cana-3473	113	14	/	/	SYM
cana-3473	113	15	gru	gru	PROPN
cana-3473	113	16	:	:	PUNCT
cana-3473	113	17	useful	useful	ADJ
cana-3473	113	18	for	for	ADP
cana-3473	113	19	sequential	sequential	ADJ
cana-3473	113	20	data	datum	NOUN
cana-3473	113	21	,	,	PUNCT
cana-3473	113	22	especially	especially	ADV
cana-3473	113	23	when	when	SCONJ
cana-3473	113	24	context	context	NOUN
cana-3473	113	25	matters	matter	NOUN
cana-3473	113	26	.	.	PUNCT
cana-3473	114	1	•	•	NUM
cana-3473	114	2	cnn	cnn	PROPN
cana-3473	114	3	:	:	PUNCT
cana-3473	114	4	good	good	ADJ
cana-3473	114	5	for	for	ADP
cana-3473	114	6	capturing	capture	VERB
cana-3473	114	7	local	local	ADJ
cana-3473	114	8	(	(	PUNCT
cana-3473	114	9	n	n	CCONJ
cana-3473	114	10	-	-	PUNCT
cana-3473	114	11	gram	gram	NOUN
cana-3473	114	12	)	)	PUNCT
cana-3473	114	13	patterns	pattern	NOUN
cana-3473	114	14	.	.	PUNCT
cana-3473	115	1	•	•	NUM
cana-3473	115	2	bert	bert	PROPN
cana-3473	115	3	/	/	SYM
cana-3473	115	4	transformers	transformer	NOUN
cana-3473	115	5	:	:	PUNCT
cana-3473	115	6	advanced	advanced	ADJ
cana-3473	115	7	models	model	NOUN
cana-3473	115	8	capable	capable	ADJ
cana-3473	115	9	of	of	ADP
cana-3473	115	10	understanding	understand	VERB
cana-3473	115	11	context	context	NOUN
cana-3473	115	12	and	and	CCONJ
cana-3473	115	13	relationships	relationship	NOUN
cana-3473	115	14	between	between	ADP
cana-3473	115	15	words	word	NOUN
cana-3473	115	16	.	.	PUNCT
cana-3473	116	1	6	6	X
cana-3473	116	2	.	.	X
cana-3473	116	3	training	train	VERB
cana-3473	116	4	the	the	DET
cana-3473	116	5	model	model	NOUN
cana-3473	116	6	•	•	PROPN
cana-3473	116	7	data	datum	NOUN
cana-3473	116	8	split	split	NOUN
cana-3473	116	9	:	:	PUNCT
cana-3473	116	10	divide	divide	VERB
cana-3473	116	11	your	your	PRON
cana-3473	116	12	dataset	dataset	NOUN
cana-3473	116	13	into	into	ADP
cana-3473	116	14	training	training	NOUN
cana-3473	116	15	,	,	PUNCT
cana-3473	116	16	validation	validation	NOUN
cana-3473	116	17	,	,	PUNCT
cana-3473	116	18	and	and	CCONJ
cana-3473	116	19	test	test	NOUN
cana-3473	116	20	sets	set	NOUN
cana-3473	116	21	(	(	PUNCT
cana-3473	116	22	e.g.	e.g.	ADV
cana-3473	116	23	,	,	PUNCT
cana-3473	116	24	80	80	NUM
cana-3473	116	25	%	%	NOUN
cana-3473	116	26	training	training	NOUN
cana-3473	116	27	,	,	PUNCT
cana-3473	116	28	10	10	NUM
cana-3473	116	29	%	%	NOUN
cana-3473	116	30	validation	validation	NOUN
cana-3473	116	31	,	,	PUNCT
cana-3473	116	32	10	10	NUM
cana-3473	116	33	%	%	NOUN
cana-3473	116	34	testing	testing	NOUN
cana-3473	116	35	)	)	PUNCT
cana-3473	116	36	.	.	PUNCT
cana-3473	117	1	•	•	NUM
cana-3473	117	2	training	training	NOUN
cana-3473	117	3	:	:	PUNCT
cana-3473	117	4	train	train	VERB
cana-3473	117	5	the	the	DET
cana-3473	117	6	selected	select	VERB
cana-3473	117	7	model	model	NOUN
cana-3473	117	8	on	on	ADP
cana-3473	117	9	the	the	DET
cana-3473	117	10	training	training	NOUN
cana-3473	117	11	set	set	NOUN
cana-3473	117	12	.	.	PUNCT
cana-3473	118	1	•	•	NUM
cana-3473	118	2	hyperparameter	hyperparameter	NOUN
cana-3473	118	3	tuning	tuning	NOUN
cana-3473	118	4	:	:	PUNCT
cana-3473	118	5	use	use	VERB
cana-3473	118	6	the	the	DET
cana-3473	118	7	validation	validation	NOUN
cana-3473	118	8	set	set	VERB
cana-3473	118	9	to	to	ADP
cana-3473	118	10	fine	fine	ADJ
cana-3473	118	11	-	-	PUNCT
cana-3473	118	12	tune	tune	NOUN
cana-3473	118	13	model	model	NOUN
cana-3473	118	14	parameters	parameter	NOUN
cana-3473	118	15	(	(	PUNCT
cana-3473	118	16	e.g.	e.g.	ADV
cana-3473	118	17	,	,	PUNCT
cana-3473	118	18	learning	learn	VERB
cana-3473	118	19	rate	rate	NOUN
cana-3473	118	20	,	,	PUNCT
cana-3473	118	21	batch	batch	NOUN
cana-3473	118	22	size	size	NOUN
cana-3473	118	23	)	)	PUNCT
cana-3473	118	24	.	.	PUNCT
cana-3473	119	1	7	7	X
cana-3473	119	2	.	.	PUNCT
cana-3473	119	3	model	model	NOUN
cana-3473	119	4	evaluation	evaluation	NOUN
cana-3473	119	5	•	•	NOUN
cana-3473	119	6	metrics	metric	NOUN
cana-3473	119	7	:	:	PUNCT
cana-3473	119	8	evaluate	evaluate	VERB
cana-3473	119	9	model	model	NOUN
cana-3473	119	10	performance	performance	NOUN
cana-3473	119	11	using	use	VERB
cana-3473	119	12	metrics	metric	NOUN
cana-3473	119	13	like	like	ADP
cana-3473	119	14	precision	precision	NOUN
cana-3473	119	15	,	,	PUNCT
cana-3473	119	16	accuracy	accuracy	NOUN
cana-3473	119	17	,	,	PUNCT
cana-3473	119	18	recall	recall	NOUN
cana-3473	119	19	,	,	PUNCT
cana-3473	119	20	f1	f1	NOUN
cana-3473	119	21	-	-	PUNCT
cana-3473	119	22	score	score	NOUN
cana-3473	119	23	,	,	PUNCT
cana-3473	119	24	and	and	CCONJ
cana-3473	119	25	confusion	confusion	NOUN
cana-3473	119	26	matrix	matrix	NOUN
cana-3473	119	27	.	.	PUNCT
cana-3473	120	1	•	•	NUM
cana-3473	120	2	confusion	confusion	NOUN
cana-3473	120	3	matrix	matrix	NOUN
cana-3473	120	4	:	:	PUNCT
cana-3473	120	5	track	track	VERB
cana-3473	120	6	true	true	ADJ
cana-3473	120	7	positives	positive	NOUN
cana-3473	120	8	,	,	PUNCT
cana-3473	120	9	true	true	ADJ
cana-3473	120	10	negatives	negative	NOUN
cana-3473	120	11	,	,	PUNCT
cana-3473	120	12	false	false	ADJ
cana-3473	120	13	positives	positive	NOUN
cana-3473	120	14	,	,	PUNCT
cana-3473	120	15	and	and	CCONJ
cana-3473	120	16	false	false	ADJ
cana-3473	120	17	negatives	negative	NOUN
cana-3473	120	18	for	for	ADP
cana-3473	120	19	each	each	DET
cana-3473	120	20	sentiment	sentiment	NOUN
cana-3473	120	21	class	class	NOUN
cana-3473	120	22	(	(	PUNCT
cana-3473	120	23	positive	positive	ADJ
cana-3473	120	24	,	,	PUNCT
cana-3473	120	25	negative	negative	ADJ
cana-3473	120	26	,	,	PUNCT
cana-3473	120	27	neutral	neutral	ADJ
cana-3473	120	28	)	)	PUNCT
cana-3473	120	29	.	.	PUNCT
cana-3473	121	1	•	•	NUM
cana-3473	121	2	cross	cross	NOUN
cana-3473	121	3	-	-	NOUN
cana-3473	121	4	validation	validation	ADJ
cana-3473	121	5	:	:	PUNCT
cana-3473	121	6	use	use	VERB
cana-3473	121	7	k	k	ADJ
cana-3473	121	8	-	-	ADJ
cana-3473	121	9	fold	fold	ADJ
cana-3473	121	10	cross	cross	NOUN
cana-3473	121	11	-	-	NOUN
cana-3473	121	12	validation	validation	NOUN
cana-3473	121	13	to	to	PART
cana-3473	121	14	optimize	optimize	VERB
cana-3473	121	15	model	model	NOUN
cana-3473	121	16	performance	performance	NOUN
cana-3473	121	17	on	on	ADP
cana-3473	121	18	the	the	DET
cana-3473	121	19	dataset	dataset	NOUN
cana-3473	121	20	.	.	PUNCT
cana-3473	122	1	8	8	X
cana-3473	122	2	.	.	X
cana-3473	122	3	application	application	NOUN
cana-3473	122	4	•	•	NOUN
cana-3473	122	5	model	model	NOUN
cana-3473	122	6	deployment	deployment	NOUN
cana-3473	122	7	:	:	PUNCT
cana-3473	122	8	use	use	VERB
cana-3473	122	9	the	the	DET
cana-3473	122	10	trained	train	VERB
cana-3473	122	11	model	model	NOUN
cana-3473	122	12	to	to	PART
cana-3473	122	13	classify	classify	VERB
cana-3473	122	14	new	new	ADJ
cana-3473	122	15	text	text	NOUN
cana-3473	122	16	data	datum	NOUN
cana-3473	122	17	over	over	ADP
cana-3473	122	18	time	time	NOUN
cana-3473	122	19	.	.	PUNCT
cana-3473	123	1	•	•	NUM
cana-3473	123	2	api	api	NOUN
cana-3473	123	3	integration	integration	NOUN
cana-3473	123	4	:	:	PUNCT
cana-3473	123	5	develop	develop	VERB
cana-3473	123	6	an	an	DET
cana-3473	123	7	api	api	NOUN
cana-3473	123	8	that	that	PRON
cana-3473	123	9	allows	allow	VERB
cana-3473	123	10	other	other	ADJ
cana-3473	123	11	applications	application	NOUN
cana-3473	123	12	to	to	PART
cana-3473	123	13	leverage	leverage	VERB
cana-3473	123	14	the	the	DET
cana-3473	123	15	model	model	NOUN
cana-3473	123	16	for	for	ADP
cana-3473	123	17	sentiment	sentiment	NOUN
cana-3473	123	18	analysis	analysis	NOUN
cana-3473	123	19	.	.	PUNCT
cana-3473	124	1	9	9	X
cana-3473	124	2	.	.	PUNCT
cana-3473	124	3	model	model	NOUN
cana-3473	124	4	enhancement	enhancement	NOUN
cana-3473	124	5	•	•	NUM
cana-3473	124	6	data	datum	NOUN
cana-3473	124	7	augmentation	augmentation	NOUN
cana-3473	124	8	:	:	PUNCT
cana-3473	124	9	increase	increase	VERB
cana-3473	124	10	the	the	DET
cana-3473	124	11	dataset	dataset	NOUN
cana-3473	124	12	size	size	NOUN
cana-3473	124	13	using	use	VERB
cana-3473	124	14	techniques	technique	NOUN
cana-3473	124	15	like	like	ADP
cana-3473	124	16	word	word	NOUN
cana-3473	124	17	substitution	substitution	NOUN
cana-3473	124	18	,	,	PUNCT
cana-3473	124	19	backtranslation	backtranslation	NOUN
cana-3473	124	20	,	,	PUNCT
cana-3473	124	21	or	or	CCONJ
cana-3473	124	22	paraphrasing	paraphrasing	NOUN
cana-3473	124	23	.	.	PUNCT
cana-3473	124	24	•	•	NUM
cana-3473	124	25	ensemble	ensemble	ADJ
cana-3473	124	26	models	model	NOUN
cana-3473	124	27	:	:	PUNCT
cana-3473	124	28	combine	combine	VERB
cana-3473	124	29	predictions	prediction	NOUN
cana-3473	124	30	from	from	ADP
cana-3473	124	31	multiple	multiple	ADJ
cana-3473	124	32	models	model	NOUN
cana-3473	124	33	to	to	PART
cana-3473	124	34	improve	improve	VERB
cana-3473	124	35	overall	overall	ADJ
cana-3473	124	36	performance	performance	NOUN
cana-3473	124	37	.	.	PUNCT
cana-3473	125	1	•	•	NUM
cana-3473	125	2	fine	fine	ADV
cana-3473	125	3	-	-	PUNCT
cana-3473	125	4	tuning	tuning	NOUN
cana-3473	125	5	:	:	PUNCT
cana-3473	125	6	refine	refine	VERB
cana-3473	125	7	pre	pre	ADJ
cana-3473	125	8	-	-	ADJ
cana-3473	125	9	trained	train	VERB
cana-3473	125	10	models	model	NOUN
cana-3473	125	11	(	(	PUNCT
cana-3473	125	12	e.g.	e.g.	ADV
cana-3473	125	13	,	,	PUNCT
cana-3473	125	14	bert	bert	PROPN
cana-3473	125	15	)	)	PUNCT
cana-3473	125	16	on	on	ADP
cana-3473	125	17	your	your	PRON
cana-3473	125	18	specific	specific	ADJ
cana-3473	125	19	dataset	dataset	NOUN
cana-3473	125	20	to	to	PART
cana-3473	125	21	boost	boost	VERB
cana-3473	125	22	accuracy	accuracy	NOUN
cana-3473	125	23	.	.	PUNCT
cana-3473	126	1	fig	fig	NOUN
cana-3473	126	2	2	2	NUM
cana-3473	126	3	.	.	PUNCT
cana-3473	126	4	normalizes	normalize	VERB
cana-3473	126	5	matrix	matrix	NOUN
cana-3473	126	6	of	of	ADP
cana-3473	126	7	three	three	NUM
cana-3473	126	8	class	class	NOUN
cana-3473	126	9	sentiment	sentiment	NOUN
cana-3473	126	10	analysis	analysis	NOUN
cana-3473	126	11	.	.	PUNCT
cana-3473	127	1	advances	advance	NOUN
cana-3473	127	2	in	in	ADP
cana-3473	127	3	nonlinear	nonlinear	ADJ
cana-3473	127	4	variational	variational	ADJ
cana-3473	127	5	inequalities	inequality	NOUN
cana-3473	127	6	issn	issn	VERB
cana-3473	127	7	:	:	PUNCT
cana-3473	127	8	1092	1092	NUM
cana-3473	127	9	-	-	PUNCT
cana-3473	127	10	910x	910x	NUM
cana-3473	127	11	vol	vol	NOUN
cana-3473	127	12	28	28	NUM
cana-3473	127	13	no	no	NOUN
cana-3473	127	14	.	.	PUNCT
cana-3473	128	1	7s	7	NOUN
cana-3473	128	2	(	(	PUNCT
cana-3473	128	3	2025	2025	NUM
cana-3473	128	4	)	)	PUNCT
cana-3473	128	5	670	670	NUM
cana-3473	128	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3473	128	7	comparison	comparison	NOUN
cana-3473	128	8	of	of	ADP
cana-3473	128	9	various	various	ADJ
cana-3473	128	10	approaches	approach	NOUN
cana-3473	128	11	:	:	PUNCT
cana-3473	128	12	1	1	X
cana-3473	128	13	.	.	X
cana-3473	128	14	lstm	lstm	NOUN
cana-3473	128	15	:	:	PUNCT
cana-3473	128	16	effective	effective	ADJ
cana-3473	128	17	for	for	ADP
cana-3473	128	18	capturing	capture	VERB
cana-3473	128	19	complex	complex	ADJ
cana-3473	128	20	patterns	pattern	NOUN
cana-3473	128	21	and	and	CCONJ
cana-3473	128	22	sequences	sequence	NOUN
cana-3473	128	23	in	in	ADP
cana-3473	128	24	large	large	ADJ
cana-3473	128	25	datasets	dataset	NOUN
cana-3473	128	26	.	.	PUNCT
cana-3473	129	1	2	2	X
cana-3473	129	2	.	.	X
cana-3473	129	3	naive	naive	ADJ
cana-3473	129	4	bayes	bayes	NOUN
cana-3473	129	5	:	:	PUNCT
cana-3473	129	6	simple	simple	ADJ
cana-3473	129	7	and	and	CCONJ
cana-3473	129	8	fast	fast	ADV
cana-3473	129	9	,	,	PUNCT
cana-3473	129	10	making	make	VERB
cana-3473	129	11	it	it	PRON
cana-3473	129	12	an	an	DET
cana-3473	129	13	ideal	ideal	ADJ
cana-3473	129	14	starting	starting	NOUN
cana-3473	129	15	point	point	NOUN
cana-3473	129	16	for	for	ADP
cana-3473	129	17	smaller	small	ADJ
cana-3473	129	18	datasets	dataset	NOUN
cana-3473	129	19	.	.	PUNCT
cana-3473	130	1	3	3	X
cana-3473	130	2	.	.	X
cana-3473	130	3	svm	svm	ADJ
cana-3473	130	4	:	:	PUNCT
cana-3473	130	5	highly	highly	ADV
cana-3473	130	6	effective	effective	ADJ
cana-3473	130	7	for	for	ADP
cana-3473	130	8	high	high	ADJ
cana-3473	130	9	-	-	PUNCT
cana-3473	130	10	dimensional	dimensional	ADJ
cana-3473	130	11	data	datum	NOUN
cana-3473	130	12	,	,	PUNCT
cana-3473	130	13	especially	especially	ADV
cana-3473	130	14	when	when	SCONJ
cana-3473	130	15	using	use	VERB
cana-3473	130	16	nonlinear	nonlinear	ADJ
cana-3473	130	17	models	model	NOUN
cana-3473	130	18	.	.	PUNCT
cana-3473	131	1	4	4	X
cana-3473	131	2	.	.	X
cana-3473	131	3	logistic	logistic	ADJ
cana-3473	131	4	regression	regression	NOUN
cana-3473	131	5	:	:	PUNCT
cana-3473	131	6	a	a	DET
cana-3473	131	7	reliable	reliable	ADJ
cana-3473	131	8	model	model	NOUN
cana-3473	131	9	that	that	PRON
cana-3473	131	10	offers	offer	VERB
cana-3473	131	11	fast	fast	ADJ
cana-3473	131	12	training	training	NOUN
cana-3473	131	13	and	and	CCONJ
cana-3473	131	14	easy	easy	ADJ
cana-3473	131	15	interpretability	interpretability	NOUN
cana-3473	131	16	.	.	PUNCT
cana-3473	132	1	5	5	X
cana-3473	132	2	.	.	X
cana-3473	132	3	decision	decision	NOUN
cana-3473	132	4	tree	tree	NOUN
cana-3473	132	5	:	:	PUNCT
cana-3473	132	6	useful	useful	ADJ
cana-3473	132	7	for	for	ADP
cana-3473	132	8	data	datum	NOUN
cana-3473	132	9	profiling	profiling	NOUN
cana-3473	132	10	,	,	PUNCT
cana-3473	132	11	but	but	CCONJ
cana-3473	132	12	may	may	AUX
cana-3473	132	13	require	require	VERB
cana-3473	132	14	advanced	advanced	ADJ
cana-3473	132	15	techniques	technique	NOUN
cana-3473	132	16	to	to	PART
cana-3473	132	17	achieve	achieve	VERB
cana-3473	132	18	competitive	competitive	ADJ
cana-3473	132	19	performance	performance	NOUN
cana-3473	132	20	.	.	PUNCT
cana-3473	133	1	model	model	NOUN
cana-3473	133	2	strengths	strength	NOUN
cana-3473	133	3	weaknesses	weakness	NOUN
cana-3473	133	4	best	well	ADV
cana-3473	133	5	used	use	VERB
cana-3473	133	6	for	for	ADP
cana-3473	133	7	performance	performance	NOUN
cana-3473	133	8	lstm	lstm	NOUN
cana-3473	133	9	it	it	PRON
cana-3473	133	10	records	record	VERB
cana-3473	133	11	sequence	sequence	NOUN
cana-3473	133	12	,	,	PUNCT
cana-3473	133	13	context	context	NOUN
cana-3473	133	14	and	and	CCONJ
cana-3473	133	15	long	long	ADJ
cana-3473	133	16	-	-	PUNCT
cana-3473	133	17	term	term	NOUN
cana-3473	133	18	dependencies	dependency	NOUN
cana-3473	133	19	.	.	PUNCT
cana-3473	134	1	it	it	PRON
cana-3473	134	2	is	be	AUX
cana-3473	134	3	complex	complex	ADJ
cana-3473	134	4	,	,	PUNCT
cana-3473	134	5	resource	resource	NOUN
cana-3473	134	6	-	-	PUNCT
cana-3473	134	7	intensive	intensive	ADJ
cana-3473	134	8	,	,	PUNCT
cana-3473	134	9	and	and	CCONJ
cana-3473	134	10	requires	require	VERB
cana-3473	134	11	large	large	ADJ
cana-3473	134	12	datasets	dataset	NOUN
cana-3473	134	13	.	.	PUNCT
cana-3473	135	1	sequential	sequential	ADJ
cana-3473	135	2	data	datum	NOUN
cana-3473	135	3	,	,	PUNCT
cana-3473	135	4	complex	complex	ADJ
cana-3473	135	5	context	context	NOUN
cana-3473	135	6	have	have	VERB
cana-3473	135	7	large	large	ADJ
cana-3473	135	8	datasets	dataset	NOUN
cana-3473	135	9	and	and	CCONJ
cana-3473	135	10	complex	complex	ADJ
cana-3473	135	11	samples	sample	NOUN
cana-3473	135	12	.	.	PUNCT
cana-3473	136	1	naive	naive	ADJ
cana-3473	136	2	bayes	bayes	NOUN
cana-3473	136	3	it	it	PRON
cana-3473	136	4	's	be	AUX
cana-3473	136	5	simple	simple	ADJ
cana-3473	136	6	,	,	PUNCT
cana-3473	136	7	fast	fast	ADJ
cana-3473	136	8	,	,	PUNCT
cana-3473	136	9	and	and	CCONJ
cana-3473	136	10	works	work	VERB
cana-3473	136	11	well	well	ADV
cana-3473	136	12	on	on	ADP
cana-3473	136	13	small	small	ADJ
cana-3473	136	14	datasets	dataset	NOUN
cana-3473	136	15	.	.	PUNCT
cana-3473	137	1	with	with	ADP
cana-3473	137	2	autonomy	autonomy	NOUN
cana-3473	137	3	,	,	PUNCT
cana-3473	137	4	there	there	PRON
cana-3473	137	5	is	be	VERB
cana-3473	137	6	little	little	ADJ
cana-3473	137	7	understanding	understanding	NOUN
cana-3473	137	8	of	of	ADP
cana-3473	137	9	context	context	NOUN
cana-3473	137	10	.	.	PUNCT
cana-3473	138	1	the	the	DET
cana-3473	138	2	base	base	NOUN
cana-3473	138	3	,	,	PUNCT
cana-3473	138	4	smaller	small	ADJ
cana-3473	138	5	data	datum	NOUN
cana-3473	138	6	set	set	NOUN
cana-3473	138	7	,	,	PUNCT
cana-3473	138	8	is	be	AUX
cana-3473	138	9	spatial	spatial	ADJ
cana-3473	138	10	analysis	analysis	NOUN
cana-3473	138	11	.	.	PUNCT
cana-3473	139	1	it	it	PRON
cana-3473	139	2	is	be	AUX
cana-3473	139	3	correct	correct	ADJ
cana-3473	139	4	,	,	PUNCT
cana-3473	139	5	but	but	CCONJ
cana-3473	139	6	works	work	VERB
cana-3473	139	7	better	well	ADV
cana-3473	139	8	on	on	ADP
cana-3473	139	9	larger	large	ADJ
cana-3473	139	10	datasets	dataset	NOUN
cana-3473	139	11	.	.	PUNCT
cana-3473	140	1	svm	svm	VERB
cana-3473	140	2	it	it	PRON
cana-3473	140	3	handles	handle	VERB
cana-3473	140	4	highdimensional	highdimensional	ADJ
cana-3473	140	5	data	datum	NOUN
cana-3473	140	6	well	well	ADV
cana-3473	140	7	and	and	CCONJ
cana-3473	140	8	is	be	AUX
cana-3473	140	9	generalizable	generalizable	ADJ
cana-3473	140	10	.	.	PUNCT
cana-3473	141	1	computer	computer	NOUN
cana-3473	141	2	literate	literate	ADJ
cana-3473	141	3	and	and	CCONJ
cana-3473	141	4	need	need	VERB
cana-3473	141	5	to	to	PART
cana-3473	141	6	be	be	AUX
cana-3473	141	7	well	well	ADV
cana-3473	141	8	organized	organize	VERB
cana-3473	141	9	.	.	PUNCT
cana-3473	142	1	higher	high	ADJ
cana-3473	142	2	resolution	resolution	NOUN
cana-3473	142	3	limits	limit	NOUN
cana-3473	142	4	and	and	CCONJ
cana-3473	142	5	nonlinearities	nonlinearitie	NOUN
cana-3473	142	6	.	.	PUNCT
cana-3473	143	1	high	high	ADJ
cana-3473	143	2	and	and	CCONJ
cana-3473	143	3	fair	fair	ADJ
cana-3473	143	4	work	work	NOUN
cana-3473	143	5	ethic	ethic	ADJ
cana-3473	143	6	.	.	PUNCT
cana-3473	144	1	logistic	logistic	ADJ
cana-3473	144	2	regression	regression	NOUN
cana-3473	144	3	simple	simple	ADJ
cana-3473	144	4	,	,	PUNCT
cana-3473	144	5	clear	clear	ADJ
cana-3473	144	6	and	and	CCONJ
cana-3473	144	7	effective	effective	ADJ
cana-3473	144	8	.	.	PUNCT
cana-3473	145	1	as	as	ADP
cana-3473	145	2	a	a	DET
cana-3473	145	3	linear	linear	ADJ
cana-3473	145	4	hypothesis	hypothesis	NOUN
cana-3473	145	5	,	,	PUNCT
cana-3473	145	6	there	there	PRON
cana-3473	145	7	is	be	VERB
cana-3473	145	8	little	little	ADJ
cana-3473	145	9	functional	functional	ADJ
cana-3473	145	10	interaction	interaction	NOUN
cana-3473	145	11	.	.	PUNCT
cana-3473	146	1	line	line	NOUN
cana-3473	146	2	segmentation	segmentation	PROPN
cana-3473	146	3	data	data	PROPN
cana-3473	146	4	,	,	PUNCT
cana-3473	146	5	baseline	baseline	NOUN
cana-3473	146	6	.	.	PUNCT
cana-3473	147	1	it	it	PRON
cana-3473	147	2	is	be	AUX
cana-3473	147	3	robust	robust	ADJ
cana-3473	147	4	,	,	PUNCT
cana-3473	147	5	especially	especially	ADV
cana-3473	147	6	in	in	ADP
cana-3473	147	7	large	large	ADJ
cana-3473	147	8	and	and	CCONJ
cana-3473	147	9	flexible	flexible	ADJ
cana-3473	147	10	datasets	dataset	NOUN
cana-3473	147	11	.	.	PUNCT
cana-3473	148	1	decision	decision	NOUN
cana-3473	148	2	tree	tree	NOUN
cana-3473	148	3	the	the	DET
cana-3473	148	4	translation	translation	NOUN
cana-3473	148	5	captures	capture	VERB
cana-3473	148	6	nonlinear	nonlinear	ADJ
cana-3473	148	7	relationships	relationship	NOUN
cana-3473	148	8	.	.	PUNCT
cana-3473	149	1	excess	excess	ADJ
cana-3473	149	2	,	,	PUNCT
cana-3473	149	3	volatility	volatility	NOUN
cana-3473	149	4	,	,	PUNCT
cana-3473	149	5	and	and	CCONJ
cana-3473	149	6	bias	bias	NOUN
cana-3473	149	7	in	in	ADP
cana-3473	149	8	unbalanced	unbalanced	ADJ
cana-3473	149	9	data	datum	NOUN
cana-3473	149	10	.	.	PUNCT
cana-3473	150	1	translation	translation	NOUN
cana-3473	150	2	,	,	PUNCT
cana-3473	150	3	nonlinear	nonlinear	ADJ
cana-3473	150	4	relationships	relationship	NOUN
cana-3473	150	5	.	.	PUNCT
cana-3473	151	1	on	on	ADP
cana-3473	151	2	average	average	ADJ
cana-3473	151	3	,	,	PUNCT
cana-3473	151	4	it	it	PRON
cana-3473	151	5	often	often	ADV
cana-3473	151	6	improves	improve	VERB
cana-3473	151	7	team	team	NOUN
cana-3473	151	8	culture	culture	NOUN
cana-3473	151	9	.	.	PUNCT
cana-3473	152	1	table	table	NOUN
cana-3473	152	2	no	no	DET
cana-3473	152	3	1	1	NUM
cana-3473	152	4	.	.	PUNCT
cana-3473	153	1	comparision	comparision	NOUN
cana-3473	153	2	of	of	ADP
cana-3473	153	3	various	various	ADJ
cana-3473	153	4	approaches	approach	NOUN
cana-3473	153	5	the	the	DET
cana-3473	153	6	matrix	matrix	NOUN
cana-3473	153	7	of	of	ADP
cana-3473	153	8	comparison	comparison	NOUN
cana-3473	153	9	show	show	NOUN
cana-3473	153	10	in	in	ADP
cana-3473	153	11	graph	graph	NOUN
cana-3473	153	12	fig	fig	NOUN
cana-3473	153	13	3	3	NUM
cana-3473	153	14	.	.	NOUN
cana-3473	153	15	matrix	matrix	NOUN
cana-3473	153	16	of	of	ADP
cana-3473	153	17	comparison	comparison	NOUN
cana-3473	153	18	of	of	ADP
cana-3473	153	19	various	various	ADJ
cana-3473	153	20	approaches	approach	NOUN
cana-3473	153	21	.	.	PUNCT
cana-3473	154	1	the	the	DET
cana-3473	154	2	accuracy	accuracy	NOUN
cana-3473	154	3	of	of	ADP
cana-3473	154	4	sentiment	sentiment	NOUN
cana-3473	154	5	analysis	analysis	NOUN
cana-3473	154	6	relies	rely	VERB
cana-3473	154	7	on	on	ADP
cana-3473	154	8	data	datum	NOUN
cana-3473	154	9	quality	quality	NOUN
cana-3473	154	10	,	,	PUNCT
cana-3473	154	11	size	size	NOUN
cana-3473	154	12	,	,	PUNCT
cana-3473	154	13	classifier	classifier	NOUN
cana-3473	154	14	type	type	NOUN
cana-3473	154	15	,	,	PUNCT
cana-3473	154	16	and	and	CCONJ
cana-3473	154	17	preprocessing	preprocesse	VERB
cana-3473	154	18	techniques	technique	NOUN
cana-3473	154	19	,	,	PUNCT
cana-3473	154	20	ultimately	ultimately	ADV
cana-3473	154	21	affecting	affect	VERB
cana-3473	154	22	classifier	classifier	NOUN
cana-3473	154	23	performance	performance	NOUN
cana-3473	154	24	.	.	PUNCT
cana-3473	155	1	advances	advance	NOUN
cana-3473	155	2	in	in	ADP
cana-3473	155	3	nonlinear	nonlinear	ADJ
cana-3473	155	4	variational	variational	ADJ
cana-3473	155	5	inequalities	inequality	NOUN
cana-3473	155	6	issn	issn	VERB
cana-3473	155	7	:	:	PUNCT
cana-3473	155	8	1092	1092	NUM
cana-3473	155	9	-	-	PUNCT
cana-3473	155	10	910x	910x	NUM
cana-3473	155	11	vol	vol	NOUN
cana-3473	155	12	28	28	NUM
cana-3473	155	13	no	no	NOUN
cana-3473	155	14	.	.	PUNCT
cana-3473	156	1	7s	7	NOUN
cana-3473	156	2	(	(	PUNCT
cana-3473	156	3	2025	2025	NUM
cana-3473	156	4	)	)	PUNCT
cana-3473	156	5	671	671	NUM
cana-3473	156	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3473	156	7	classifier	classifier	NOUN
cana-3473	156	8	dataset	dataset	VERB
cana-3473	156	9	accuracy	accuracy	NOUN
cana-3473	156	10	model	model	NOUN
cana-3473	156	11	1	1	NUM
cana-3473	156	12	amazon	amazon	NOUN
cana-3473	156	13	-	-	PUNCT
cana-3473	156	14	fine	fine	ADJ
cana-3473	156	15	-	-	PUNCT
cana-3473	156	16	food	food	NOUN
cana-3473	156	17	reviews	review	NOUN
cana-3473	156	18	87	87	NUM
cana-3473	156	19	cell	cell	NOUN
cana-3473	156	20	phones	phone	NOUN
cana-3473	156	21	and	and	CCONJ
cana-3473	156	22	accessories	accessory	NOUN
cana-3473	156	23	88	88	NUM
cana-3473	156	24	amazon	amazon	NOUN
cana-3473	156	25	products	product	NOUN
cana-3473	156	26	98	98	NUM
cana-3473	156	27	imdb	imdb	NOUN
cana-3473	156	28	85	85	NUM
cana-3473	156	29	model	model	NOUN
cana-3473	156	30	2	2	NUM
cana-3473	156	31	amazon	amazon	NOUN
cana-3473	156	32	-	-	PUNCT
cana-3473	156	33	fine	fine	ADJ
cana-3473	156	34	-	-	PUNCT
cana-3473	156	35	food	food	NOUN
cana-3473	156	36	reviews	review	NOUN
cana-3473	156	37	96	96	NUM
cana-3473	156	38	cell	cell	NOUN
cana-3473	156	39	phones	phone	NOUN
cana-3473	156	40	&	&	CCONJ
cana-3473	156	41	gadgets	gadget	NOUN
cana-3473	156	42	87	87	NUM
cana-3473	156	43	amazon	amazon	NOUN
cana-3473	156	44	products	product	NOUN
cana-3473	156	45	95	95	NUM
cana-3473	156	46	imdb	imdb	NOUN
cana-3473	156	47	79	79	NUM
cana-3473	156	48	model	model	NOUN
cana-3473	156	49	3	3	NUM
cana-3473	156	50	amazon	amazon	NOUN
cana-3473	156	51	-	-	PUNCT
cana-3473	156	52	fine	fine	ADJ
cana-3473	156	53	-	-	PUNCT
cana-3473	156	54	food	food	NOUN
cana-3473	156	55	reviews	review	NOUN
cana-3473	156	56	89	89	NUM
cana-3473	156	57	cell	cell	NOUN
cana-3473	156	58	phones	phone	NOUN
cana-3473	156	59	and	and	CCONJ
cana-3473	156	60	accessories	accessory	NOUN
cana-3473	156	61	87	87	NUM
cana-3473	156	62	amazon	amazon	NOUN
cana-3473	156	63	products	product	NOUN
cana-3473	156	64	97.5	97.5	NUM
cana-3473	156	65	imdb	imdb	NOUN
cana-3473	156	66	78	78	NUM
cana-3473	156	67	fig	fig	NOUN
cana-3473	156	68	4	4	NUM
cana-3473	156	69	.	.	PUNCT
cana-3473	157	1	accuracy	accuracy	NOUN
cana-3473	157	2	of	of	ADP
cana-3473	157	3	different	different	ADJ
cana-3473	157	4	models	model	NOUN
cana-3473	157	5	.	.	PUNCT
cana-3473	158	1	future	future	ADJ
cana-3473	158	2	research	research	NOUN
cana-3473	158	3	directions	direction	NOUN
cana-3473	158	4	:	:	PUNCT
cana-3473	158	5	1	1	X
cana-3473	158	6	.	.	X
cana-3473	158	7	multimodal	multimodal	NOUN
cana-3473	158	8	analysis	analysis	NOUN
cana-3473	158	9	:	:	PUNCT
cana-3473	158	10	investigate	investigate	VERB
cana-3473	158	11	methods	method	NOUN
cana-3473	158	12	to	to	PART
cana-3473	158	13	integrate	integrate	VERB
cana-3473	158	14	audio	audio	NOUN
cana-3473	158	15	,	,	PUNCT
cana-3473	158	16	text	text	NOUN
cana-3473	158	17	,	,	PUNCT
cana-3473	158	18	and	and	CCONJ
cana-3473	158	19	video	video	NOUN
cana-3473	158	20	for	for	ADP
cana-3473	158	21	a	a	DET
cana-3473	158	22	comprehensive	comprehensive	ADJ
cana-3473	158	23	understanding	understanding	NOUN
cana-3473	158	24	of	of	ADP
cana-3473	158	25	emotions	emotion	NOUN
cana-3473	158	26	.	.	PUNCT
cana-3473	159	1	this	this	DET
cana-3473	159	2	approach	approach	NOUN
cana-3473	159	3	can	can	AUX
cana-3473	159	4	help	help	VERB
cana-3473	159	5	simultaneously	simultaneously	ADV
cana-3473	159	6	capture	capture	VERB
cana-3473	159	7	facial	facial	ADJ
cana-3473	159	8	expressions	expression	NOUN
cana-3473	159	9	,	,	PUNCT
cana-3473	159	10	gestures	gesture	NOUN
cana-3473	159	11	,	,	PUNCT
cana-3473	159	12	and	and	CCONJ
cana-3473	159	13	vocal	vocal	ADJ
cana-3473	159	14	cues	cue	NOUN
cana-3473	159	15	.	.	PUNCT
cana-3473	160	1	2	2	X
cana-3473	160	2	.	.	X
cana-3473	160	3	deep	deep	ADJ
cana-3473	160	4	learning	learning	NOUN
cana-3473	160	5	architectures	architecture	NOUN
cana-3473	160	6	:	:	PUNCT
cana-3473	160	7	explore	explore	VERB
cana-3473	160	8	advanced	advanced	ADJ
cana-3473	160	9	deep	deep	ADJ
cana-3473	160	10	learning	learning	NOUN
cana-3473	160	11	architectures	architecture	NOUN
cana-3473	160	12	to	to	PART
cana-3473	160	13	analyze	analyze	VERB
cana-3473	160	14	complex	complex	ADJ
cana-3473	160	15	and	and	CCONJ
cana-3473	160	16	subtle	subtle	ADJ
cana-3473	160	17	audio	audio	ADJ
cana-3473	160	18	patterns	pattern	NOUN
cana-3473	160	19	.	.	PUNCT
cana-3473	161	1	transfer	transfer	NOUN
cana-3473	161	2	learning	learn	VERB
cana-3473	161	3	techniques	technique	NOUN
cana-3473	161	4	could	could	AUX
cana-3473	161	5	also	also	ADV
cana-3473	161	6	be	be	AUX
cana-3473	161	7	leveraged	leverage	VERB
cana-3473	161	8	to	to	PART
cana-3473	161	9	enhance	enhance	VERB
cana-3473	161	10	model	model	NOUN
cana-3473	161	11	performance	performance	NOUN
cana-3473	161	12	.	.	PUNCT
cana-3473	162	1	3	3	X
cana-3473	162	2	.	.	X
cana-3473	162	3	unsupervised	unsupervised	ADJ
cana-3473	162	4	and	and	CCONJ
cana-3473	162	5	supervised	supervised	ADJ
cana-3473	162	6	learning	learning	NOUN
cana-3473	162	7	:	:	PUNCT
cana-3473	162	8	develop	develop	VERB
cana-3473	162	9	strategies	strategy	NOUN
cana-3473	162	10	to	to	PART
cana-3473	162	11	reduce	reduce	VERB
cana-3473	162	12	dependence	dependence	NOUN
cana-3473	162	13	on	on	ADP
cana-3473	162	14	large	large	ADJ
cana-3473	162	15	datasets	dataset	NOUN
cana-3473	162	16	and	and	CCONJ
cana-3473	162	17	extend	extend	VERB
cana-3473	162	18	sentiment	sentiment	NOUN
cana-3473	162	19	analysis	analysis	NOUN
cana-3473	162	20	to	to	ADP
cana-3473	162	21	low	low	ADJ
cana-3473	162	22	-	-	PUNCT
cana-3473	162	23	resource	resource	NOUN
cana-3473	162	24	languages	language	NOUN
cana-3473	162	25	and	and	CCONJ
cana-3473	162	26	regions	region	NOUN
cana-3473	162	27	.	.	PUNCT
cana-3473	163	1	4	4	X
cana-3473	163	2	.	.	X
cana-3473	163	3	domain	domain	NOUN
cana-3473	163	4	-	-	PUNCT
cana-3473	163	5	specific	specific	ADJ
cana-3473	163	6	sentiment	sentiment	NOUN
cana-3473	163	7	analysis	analysis	NOUN
cana-3473	163	8	:	:	PUNCT
cana-3473	163	9	build	build	VERB
cana-3473	163	10	sentiment	sentiment	NOUN
cana-3473	163	11	analysis	analysis	NOUN
cana-3473	163	12	models	model	NOUN
cana-3473	163	13	tailored	tailor	VERB
cana-3473	163	14	for	for	ADP
cana-3473	163	15	specific	specific	ADJ
cana-3473	163	16	domains	domain	NOUN
cana-3473	163	17	,	,	PUNCT
cana-3473	163	18	such	such	ADJ
cana-3473	163	19	as	as	ADP
cana-3473	163	20	healthcare	healthcare	NOUN
cana-3473	163	21	,	,	PUNCT
cana-3473	163	22	finance	finance	NOUN
cana-3473	163	23	,	,	PUNCT
cana-3473	163	24	or	or	CCONJ
cana-3473	163	25	education	education	NOUN
cana-3473	163	26	,	,	PUNCT
cana-3473	163	27	to	to	PART
cana-3473	163	28	accurately	accurately	ADV
cana-3473	163	29	capture	capture	VERB
cana-3473	163	30	region	region	NOUN
cana-3473	163	31	or	or	CCONJ
cana-3473	163	32	industry	industry	NOUN
cana-3473	163	33	-	-	PUNCT
cana-3473	163	34	specific	specific	ADJ
cana-3473	163	35	emotions	emotion	NOUN
cana-3473	163	36	.	.	PUNCT
cana-3473	164	1	advances	advance	NOUN
cana-3473	164	2	in	in	ADP
cana-3473	164	3	nonlinear	nonlinear	ADJ
cana-3473	164	4	variational	variational	ADJ
cana-3473	164	5	inequalities	inequality	NOUN
cana-3473	164	6	issn	issn	VERB
cana-3473	164	7	:	:	PUNCT
cana-3473	164	8	1092	1092	NUM
cana-3473	164	9	-	-	PUNCT
cana-3473	164	10	910x	910x	NUM
cana-3473	164	11	vol	vol	NOUN
cana-3473	164	12	28	28	NUM
cana-3473	164	13	no	no	NOUN
cana-3473	164	14	.	.	PUNCT
cana-3473	165	1	7s	7	NOUN
cana-3473	165	2	(	(	PUNCT
cana-3473	165	3	2025	2025	NUM
cana-3473	165	4	)	)	PUNCT
cana-3473	165	5	672	672	NUM
cana-3473	165	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3473	165	7	5	5	NUM
cana-3473	165	8	.	.	PUNCT
cana-3473	165	9	real	real	ADJ
cana-3473	165	10	-	-	PUNCT
cana-3473	165	11	time	time	NOUN
cana-3473	165	12	analytics	analytic	NOUN
cana-3473	165	13	:	:	PUNCT
cana-3473	165	14	investigate	investigate	VERB
cana-3473	165	15	techniques	technique	NOUN
cana-3473	165	16	for	for	ADP
cana-3473	165	17	real	real	ADJ
cana-3473	165	18	-	-	PUNCT
cana-3473	165	19	time	time	NOUN
cana-3473	165	20	or	or	CCONJ
cana-3473	165	21	streaming	streaming	NOUN
cana-3473	165	22	sentiment	sentiment	NOUN
cana-3473	165	23	analysis	analysis	NOUN
cana-3473	165	24	to	to	PART
cana-3473	165	25	analyze	analyze	VERB
cana-3473	165	26	emotions	emotion	NOUN
cana-3473	165	27	in	in	ADP
cana-3473	165	28	live	live	ADJ
cana-3473	165	29	audio	audio	NOUN
cana-3473	165	30	streams	stream	NOUN
cana-3473	165	31	or	or	CCONJ
cana-3473	165	32	ongoing	ongoing	ADJ
cana-3473	165	33	conversations	conversation	NOUN
cana-3473	165	34	.	.	PUNCT
cana-3473	166	1	6	6	NUM
cana-3473	166	2	.	.	X
cana-3473	166	3	deeper	deep	ADJ
cana-3473	166	4	understanding	understanding	NOUN
cana-3473	166	5	of	of	ADP
cana-3473	166	6	human	human	ADJ
cana-3473	166	7	emotions	emotion	NOUN
cana-3473	166	8	:	:	PUNCT
cana-3473	166	9	delve	delve	VERB
cana-3473	166	10	into	into	ADP
cana-3473	166	11	more	more	ADV
cana-3473	166	12	profound	profound	ADJ
cana-3473	166	13	emotional	emotional	ADJ
cana-3473	166	14	understanding	understanding	NOUN
cana-3473	166	15	by	by	ADP
cana-3473	166	16	integrating	integrate	VERB
cana-3473	166	17	sentiment	sentiment	NOUN
cana-3473	166	18	analysis	analysis	NOUN
cana-3473	166	19	into	into	ADP
cana-3473	166	20	broader	broad	ADJ
cana-3473	166	21	emotional	emotional	ADJ
cana-3473	166	22	frameworks	framework	NOUN
cana-3473	166	23	.	.	PUNCT
cana-3473	167	1	7	7	X
cana-3473	167	2	.	.	X
cana-3473	167	3	transfer	transfer	NOUN
cana-3473	167	4	learning	learn	VERB
cana-3473	167	5	across	across	ADP
cana-3473	167	6	languages	language	NOUN
cana-3473	167	7	:	:	PUNCT
cana-3473	167	8	explore	explore	VERB
cana-3473	167	9	transfer	transfer	NOUN
cana-3473	167	10	learning	learning	NOUN
cana-3473	167	11	methods	method	NOUN
cana-3473	167	12	to	to	PART
cana-3473	167	13	apply	apply	VERB
cana-3473	167	14	sentiment	sentiment	NOUN
cana-3473	167	15	analysis	analysis	NOUN
cana-3473	167	16	knowledge	knowledge	NOUN
cana-3473	167	17	from	from	ADP
cana-3473	167	18	one	one	NUM
cana-3473	167	19	language	language	NOUN
cana-3473	167	20	to	to	ADP
cana-3473	167	21	another	another	PRON
cana-3473	167	22	,	,	PUNCT
cana-3473	167	23	particularly	particularly	ADV
cana-3473	167	24	for	for	ADP
cana-3473	167	25	underrepresented	underrepresented	ADJ
cana-3473	167	26	or	or	CCONJ
cana-3473	167	27	minority	minority	NOUN
cana-3473	167	28	languages	language	NOUN
cana-3473	167	29	.	.	PUNCT
cana-3473	168	1	8	8	X
cana-3473	168	2	.	.	PUNCT
cana-3473	169	1	ethical	ethical	ADJ
cana-3473	169	2	considerations	consideration	NOUN
cana-3473	169	3	:	:	PUNCT
cana-3473	169	4	focus	focus	VERB
cana-3473	169	5	on	on	ADP
cana-3473	169	6	identifying	identify	VERB
cana-3473	169	7	and	and	CCONJ
cana-3473	169	8	mitigating	mitigate	VERB
cana-3473	169	9	biases	bias	NOUN
cana-3473	169	10	in	in	ADP
cana-3473	169	11	sentiment	sentiment	NOUN
cana-3473	169	12	analysis	analysis	NOUN
cana-3473	169	13	models	model	NOUN
cana-3473	169	14	,	,	PUNCT
cana-3473	169	15	particularly	particularly	ADV
cana-3473	169	16	regarding	regard	VERB
cana-3473	169	17	gender	gender	NOUN
cana-3473	169	18	,	,	PUNCT
cana-3473	169	19	race	race	NOUN
cana-3473	169	20	,	,	PUNCT
cana-3473	169	21	and	and	CCONJ
cana-3473	169	22	culture	culture	NOUN
cana-3473	169	23	,	,	PUNCT
cana-3473	169	24	to	to	PART
cana-3473	169	25	ensure	ensure	VERB
cana-3473	169	26	fair	fair	ADJ
cana-3473	169	27	and	and	CCONJ
cana-3473	169	28	accurate	accurate	ADJ
cana-3473	169	29	emotion	emotion	NOUN
cana-3473	169	30	classification	classification	NOUN
cana-3473	169	31	.	.	PUNCT
cana-3473	170	1	9	9	X
cana-3473	170	2	.	.	X
cana-3473	170	3	user	user	NOUN
cana-3473	170	4	-	-	PUNCT
cana-3473	170	5	centered	center	VERB
cana-3473	170	6	applications	application	NOUN
cana-3473	170	7	:	:	PUNCT
cana-3473	170	8	research	research	NOUN
cana-3473	170	9	user	user	NOUN
cana-3473	170	10	-	-	PUNCT
cana-3473	170	11	centered	center	VERB
cana-3473	170	12	analytical	analytical	ADJ
cana-3473	170	13	tools	tool	NOUN
cana-3473	170	14	,	,	PUNCT
cana-3473	170	15	such	such	ADJ
cana-3473	170	16	as	as	ADP
cana-3473	170	17	recommendation	recommendation	NOUN
cana-3473	170	18	systems	system	NOUN
cana-3473	170	19	and	and	CCONJ
cana-3473	170	20	intelligent	intelligent	ADJ
cana-3473	170	21	user	user	NOUN
cana-3473	170	22	interfaces	interface	NOUN
cana-3473	170	23	,	,	PUNCT
cana-3473	170	24	to	to	PART
cana-3473	170	25	optimize	optimize	VERB
cana-3473	170	26	products	product	NOUN
cana-3473	170	27	and	and	CCONJ
cana-3473	170	28	services	service	NOUN
cana-3473	170	29	for	for	ADP
cana-3473	170	30	enhanced	enhanced	ADJ
cana-3473	170	31	user	user	NOUN
cana-3473	170	32	experience	experience	NOUN
cana-3473	170	33	.	.	PUNCT
cana-3473	171	1	conclusion	conclusion	NOUN
cana-3473	171	2	:	:	PUNCT
cana-3473	171	3	our	our	PRON
cana-3473	171	4	research	research	NOUN
cana-3473	171	5	addresses	address	VERB
cana-3473	171	6	a	a	DET
cana-3473	171	7	crucial	crucial	ADJ
cana-3473	171	8	gap	gap	NOUN
cana-3473	171	9	in	in	ADP
cana-3473	171	10	sentiment	sentiment	NOUN
cana-3473	171	11	analysis	analysis	NOUN
cana-3473	171	12	by	by	ADP
cana-3473	171	13	developing	develop	VERB
cana-3473	171	14	a	a	DET
cana-3473	171	15	novel	novel	ADJ
cana-3473	171	16	model	model	NOUN
cana-3473	171	17	tailored	tailor	VERB
cana-3473	171	18	for	for	ADP
cana-3473	171	19	detecting	detect	VERB
cana-3473	171	20	anomalies	anomaly	NOUN
cana-3473	171	21	in	in	ADP
cana-3473	171	22	audio	audio	ADJ
cana-3473	171	23	data	datum	NOUN
cana-3473	171	24	using	use	VERB
cana-3473	171	25	advanced	advanced	ADJ
cana-3473	171	26	natural	natural	ADJ
cana-3473	171	27	language	language	NOUN
cana-3473	171	28	processing	processing	NOUN
cana-3473	171	29	(	(	PUNCT
cana-3473	171	30	nlp	nlp	NOUN
cana-3473	171	31	)	)	PUNCT
cana-3473	171	32	techniques	technique	NOUN
cana-3473	171	33	.	.	PUNCT
cana-3473	172	1	the	the	DET
cana-3473	172	2	primary	primary	ADJ
cana-3473	172	3	objective	objective	NOUN
cana-3473	172	4	is	be	AUX
cana-3473	172	5	to	to	PART
cana-3473	172	6	bridge	bridge	VERB
cana-3473	172	7	the	the	DET
cana-3473	172	8	gap	gap	NOUN
cana-3473	172	9	between	between	ADP
cana-3473	172	10	text	text	NOUN
cana-3473	172	11	-	-	PUNCT
cana-3473	172	12	based	base	VERB
cana-3473	172	13	emotion	emotion	NOUN
cana-3473	172	14	analysis	analysis	NOUN
cana-3473	172	15	and	and	CCONJ
cana-3473	172	16	the	the	DET
cana-3473	172	17	growing	grow	VERB
cana-3473	172	18	need	need	NOUN
cana-3473	172	19	for	for	ADP
cana-3473	172	20	evaluating	evaluate	VERB
cana-3473	172	21	emotions	emotion	NOUN
cana-3473	172	22	in	in	ADP
cana-3473	172	23	the	the	DET
cana-3473	172	24	fast	fast	ADV
cana-3473	172	25	-	-	PUNCT
cana-3473	172	26	evolving	evolve	VERB
cana-3473	172	27	domain	domain	NOUN
cana-3473	172	28	of	of	ADP
cana-3473	172	29	audio	audio	ADJ
cana-3473	172	30	data	datum	NOUN
cana-3473	172	31	.	.	PUNCT
cana-3473	173	1	given	give	VERB
cana-3473	173	2	the	the	DET
cana-3473	173	3	unique	unique	ADJ
cana-3473	173	4	challenges	challenge	NOUN
cana-3473	173	5	posed	pose	VERB
cana-3473	173	6	by	by	ADP
cana-3473	173	7	audio	audio	NOUN
cana-3473	173	8	,	,	PUNCT
cana-3473	173	9	such	such	ADJ
cana-3473	173	10	as	as	ADP
cana-3473	173	11	variations	variation	NOUN
cana-3473	173	12	in	in	ADP
cana-3473	173	13	speech	speech	NOUN
cana-3473	173	14	intonation	intonation	NOUN
cana-3473	173	15	,	,	PUNCT
cana-3473	173	16	tone	tone	NOUN
cana-3473	173	17	,	,	PUNCT
cana-3473	173	18	accents	accent	NOUN
cana-3473	173	19	,	,	PUNCT
cana-3473	173	20	and	and	CCONJ
cana-3473	173	21	background	background	NOUN
cana-3473	173	22	noise	noise	NOUN
cana-3473	173	23	,	,	PUNCT
cana-3473	173	24	a	a	DET
cana-3473	173	25	specialized	specialized	ADJ
cana-3473	173	26	approach	approach	NOUN
cana-3473	173	27	to	to	ADP
cana-3473	173	28	sentiment	sentiment	NOUN
cana-3473	173	29	analysis	analysis	NOUN
cana-3473	173	30	is	be	AUX
cana-3473	173	31	essential	essential	ADJ
cana-3473	173	32	.	.	PUNCT
cana-3473	174	1	through	through	ADP
cana-3473	174	2	the	the	DET
cana-3473	174	3	adaptation	adaptation	NOUN
cana-3473	174	4	of	of	ADP
cana-3473	174	5	nlp	nlp	NOUN
cana-3473	174	6	techniques	technique	NOUN
cana-3473	174	7	,	,	PUNCT
cana-3473	174	8	we	we	PRON
cana-3473	174	9	have	have	AUX
cana-3473	174	10	refined	refine	VERB
cana-3473	174	11	existing	exist	VERB
cana-3473	174	12	models	model	NOUN
cana-3473	174	13	to	to	PART
cana-3473	174	14	efficiently	efficiently	ADV
cana-3473	174	15	process	process	VERB
cana-3473	174	16	audio	audio	ADJ
cana-3473	174	17	data	datum	NOUN
cana-3473	174	18	and	and	CCONJ
cana-3473	174	19	extract	extract	VERB
cana-3473	174	20	key	key	ADJ
cana-3473	174	21	features	feature	NOUN
cana-3473	174	22	for	for	ADP
cana-3473	174	23	sentiment	sentiment	NOUN
cana-3473	174	24	classification	classification	NOUN
cana-3473	174	25	.	.	PUNCT
cana-3473	175	1	our	our	PRON
cana-3473	175	2	experimental	experimental	ADJ
cana-3473	175	3	results	result	NOUN
cana-3473	175	4	demonstrated	demonstrate	VERB
cana-3473	175	5	the	the	DET
cana-3473	175	6	effectiveness	effectiveness	NOUN
cana-3473	175	7	of	of	ADP
cana-3473	175	8	our	our	PRON
cana-3473	175	9	model	model	NOUN
cana-3473	175	10	in	in	ADP
cana-3473	175	11	accurately	accurately	ADV
cana-3473	175	12	classifying	classify	VERB
cana-3473	175	13	emotions	emotion	NOUN
cana-3473	175	14	across	across	ADP
cana-3473	175	15	various	various	ADJ
cana-3473	175	16	audio	audio	ADJ
cana-3473	175	17	datasets	dataset	NOUN
cana-3473	175	18	.	.	PUNCT
cana-3473	176	1	we	we	PRON
cana-3473	176	2	observed	observe	VERB
cana-3473	176	3	significant	significant	ADJ
cana-3473	176	4	improvements	improvement	NOUN
cana-3473	176	5	in	in	ADP
cana-3473	176	6	audio	audio	ADJ
cana-3473	176	7	sentiment	sentiment	NOUN
cana-3473	176	8	analysis	analysis	NOUN
cana-3473	176	9	,	,	PUNCT
cana-3473	176	10	confirming	confirm	VERB
cana-3473	176	11	the	the	DET
cana-3473	176	12	validity	validity	NOUN
cana-3473	176	13	of	of	ADP
cana-3473	176	14	our	our	PRON
cana-3473	176	15	proposed	propose	VERB
cana-3473	176	16	approach	approach	NOUN
cana-3473	176	17	.	.	PUNCT
cana-3473	177	1	notably	notably	ADV
cana-3473	177	2	,	,	PUNCT
cana-3473	177	3	the	the	DET
cana-3473	177	4	model	model	NOUN
cana-3473	177	5	performs	perform	VERB
cana-3473	177	6	exceptionally	exceptionally	ADV
cana-3473	177	7	well	well	ADV
cana-3473	177	8	across	across	ADP
cana-3473	177	9	multiple	multiple	ADJ
cana-3473	177	10	languages	language	NOUN
cana-3473	177	11	and	and	CCONJ
cana-3473	177	12	audio	audio	NOUN
cana-3473	177	13	formats	format	NOUN
cana-3473	177	14	,	,	PUNCT
cana-3473	177	15	demonstrating	demonstrate	VERB
cana-3473	177	16	its	its	PRON
cana-3473	177	17	adaptability	adaptability	NOUN
cana-3473	177	18	and	and	CCONJ
cana-3473	177	19	versatility	versatility	NOUN
cana-3473	177	20	.	.	PUNCT
cana-3473	178	1	however	however	ADV
cana-3473	178	2	,	,	PUNCT
cana-3473	178	3	the	the	DET
cana-3473	178	4	study	study	NOUN
cana-3473	178	5	also	also	ADV
cana-3473	178	6	highlights	highlight	VERB
cana-3473	178	7	certain	certain	ADJ
cana-3473	178	8	limitations	limitation	NOUN
cana-3473	178	9	,	,	PUNCT
cana-3473	178	10	particularly	particularly	ADV
cana-3473	178	11	the	the	DET
cana-3473	178	12	lack	lack	NOUN
cana-3473	178	13	of	of	ADP
cana-3473	178	14	available	available	ADJ
cana-3473	178	15	audio	audio	ADJ
cana-3473	178	16	datasets	dataset	NOUN
cana-3473	178	17	in	in	ADP
cana-3473	178	18	specific	specific	ADJ
cana-3473	178	19	languages	language	NOUN
cana-3473	178	20	and	and	CCONJ
cana-3473	178	21	regions	region	NOUN
cana-3473	178	22	,	,	PUNCT
cana-3473	178	23	which	which	PRON
cana-3473	178	24	may	may	AUX
cana-3473	178	25	hinder	hinder	VERB
cana-3473	178	26	progress	progress	NOUN
cana-3473	178	27	.	.	PUNCT
cana-3473	179	1	additionally	additionally	ADV
cana-3473	179	2	,	,	PUNCT
cana-3473	179	3	optimizing	optimize	VERB
cana-3473	179	4	the	the	DET
cana-3473	179	5	model	model	NOUN
cana-3473	179	6	for	for	ADP
cana-3473	179	7	peak	peak	NOUN
cana-3473	179	8	performance	performance	NOUN
cana-3473	179	9	requires	require	VERB
cana-3473	179	10	a	a	DET
cana-3473	179	11	deeper	deep	ADJ
cana-3473	179	12	understanding	understanding	NOUN
cana-3473	179	13	of	of	ADP
cana-3473	179	14	the	the	DET
cana-3473	179	15	acoustic	acoustic	ADJ
cana-3473	179	16	and	and	CCONJ
cana-3473	179	17	emotional	emotional	ADJ
cana-3473	179	18	properties	property	NOUN
cana-3473	179	19	involved	involve	VERB
cana-3473	179	20	,	,	PUNCT
cana-3473	179	21	encouraging	encourage	VERB
cana-3473	179	22	further	further	ADJ
cana-3473	179	23	exploration	exploration	NOUN
cana-3473	179	24	and	and	CCONJ
cana-3473	179	25	experimentation	experimentation	NOUN
cana-3473	179	26	.	.	PUNCT
cana-3473	180	1	the	the	DET
cana-3473	180	2	implications	implication	NOUN
cana-3473	180	3	of	of	ADP
cana-3473	180	4	this	this	DET
cana-3473	180	5	research	research	NOUN
cana-3473	180	6	are	be	AUX
cana-3473	180	7	extensive	extensive	ADJ
cana-3473	180	8	.	.	PUNCT
cana-3473	181	1	accurate	accurate	ADJ
cana-3473	181	2	sentiment	sentiment	NOUN
cana-3473	181	3	analysis	analysis	NOUN
cana-3473	181	4	in	in	ADP
cana-3473	181	5	audio	audio	ADJ
cana-3473	181	6	data	datum	NOUN
cana-3473	181	7	has	have	VERB
cana-3473	181	8	the	the	DET
cana-3473	181	9	potential	potential	NOUN
cana-3473	181	10	to	to	PART
cana-3473	181	11	unlock	unlock	VERB
cana-3473	181	12	new	new	ADJ
cana-3473	181	13	insights	insight	NOUN
cana-3473	181	14	across	across	ADP
cana-3473	181	15	numerous	numerous	ADJ
cana-3473	181	16	applications	application	NOUN
cana-3473	181	17	,	,	PUNCT
cana-3473	181	18	including	include	VERB
cana-3473	181	19	customer	customer	NOUN
cana-3473	181	20	feedback	feedback	NOUN
cana-3473	181	21	analysis	analysis	NOUN
cana-3473	181	22	,	,	PUNCT
cana-3473	181	23	mental	mental	ADJ
cana-3473	181	24	health	health	NOUN
cana-3473	181	25	monitoring	monitoring	NOUN
cana-3473	181	26	,	,	PUNCT
cana-3473	181	27	and	and	CCONJ
cana-3473	181	28	the	the	DET
cana-3473	181	29	development	development	NOUN
cana-3473	181	30	of	of	ADP
cana-3473	181	31	responsive	responsive	ADJ
cana-3473	181	32	user	user	NOUN
cana-3473	181	33	interfaces	interface	NOUN
cana-3473	181	34	.	.	PUNCT
cana-3473	182	1	the	the	DET
cana-3473	182	2	ability	ability	NOUN
cana-3473	182	3	to	to	PART
cana-3473	182	4	accurately	accurately	ADV
cana-3473	182	5	interpret	interpret	VERB
cana-3473	182	6	emotions	emotion	NOUN
cana-3473	182	7	and	and	CCONJ
cana-3473	182	8	attitudes	attitude	NOUN
cana-3473	182	9	conveyed	convey	VERB
cana-3473	182	10	through	through	ADP
cana-3473	182	11	speech	speech	NOUN
cana-3473	182	12	has	have	VERB
cana-3473	182	13	the	the	DET
cana-3473	182	14	potential	potential	NOUN
cana-3473	182	15	to	to	PART
cana-3473	182	16	transform	transform	VERB
cana-3473	182	17	how	how	SCONJ
cana-3473	182	18	we	we	PRON
cana-3473	182	19	interact	interact	VERB
cana-3473	182	20	with	with	ADP
cana-3473	182	21	technology	technology	NOUN
cana-3473	182	22	and	and	CCONJ
cana-3473	182	23	how	how	SCONJ
cana-3473	182	24	we	we	PRON
cana-3473	182	25	understand	understand	VERB
cana-3473	182	26	human	human	ADJ
cana-3473	182	27	behavior	behavior	NOUN
cana-3473	182	28	.	.	PUNCT
cana-3473	183	1	references	reference	NOUN
cana-3473	183	2	[	[	X
cana-3473	183	3	1	1	NUM
cana-3473	183	4	]	]	X
cana-3473	183	5	sen	sen	PROPN
cana-3473	183	6	,	,	PUNCT
cana-3473	183	7	a.	a.	NOUN
cana-3473	183	8	,	,	PUNCT
cana-3473	183	9	rajakumaran	rajakumaran	NOUN
cana-3473	183	10	,	,	PUNCT
cana-3473	183	11	g.	g.	NOUN
cana-3473	183	12	,	,	PUNCT
cana-3473	183	13	mahdal	mahdal	NOUN
cana-3473	183	14	,	,	PUNCT
cana-3473	183	15	m.	m.	NOUN
cana-3473	183	16	,	,	PUNCT
cana-3473	183	17	usharani	usharani	NOUN
cana-3473	183	18	,	,	PUNCT
cana-3473	183	19	s.	s.	PROPN
cana-3473	183	20	,	,	PUNCT
cana-3473	183	21	rajasekharan	rajasekharan	VERB
cana-3473	183	22	,	,	PUNCT
cana-3473	183	23	v.	v.	PROPN
cana-3473	183	24	,	,	PUNCT
cana-3473	183	25	vincent	vincent	PROPN
cana-3473	183	26	,	,	PUNCT
cana-3473	183	27	r.	r.	PROPN
cana-3473	183	28	,	,	PUNCT
cana-3473	183	29	&	&	CCONJ
cana-3473	183	30	sugavanan	sugavanan	PROPN
cana-3473	183	31	,	,	PUNCT
cana-3473	183	32	k.	k.	PROPN
cana-3473	183	33	(	(	PUNCT
cana-3473	183	34	2024	2024	NUM
cana-3473	183	35	)	)	PUNCT
cana-3473	183	36	.	.	PUNCT
cana-3473	184	1	live	live	ADJ
cana-3473	184	2	event	event	NOUN
cana-3473	184	3	detection	detection	NOUN
cana-3473	184	4	for	for	ADP
cana-3473	184	5	people	people	NOUN
cana-3473	184	6	’s	’s	PART
cana-3473	184	7	safety	safety	NOUN
cana-3473	184	8	using	use	VERB
cana-3473	184	9	nlp	nlp	NOUN
cana-3473	184	10	and	and	CCONJ
cana-3473	184	11	deep	deep	ADJ
cana-3473	184	12	learning	learning	NOUN
cana-3473	184	13	.	.	PUNCT
cana-3473	185	1	ieee	ieee	NOUN
cana-3473	185	2	access	access	NOUN
cana-3473	185	3	.	.	PUNCT
cana-3473	186	1	[	[	X
cana-3473	186	2	2	2	NUM
cana-3473	186	3	]	]	X
cana-3473	186	4	hassan	hassan	PROPN
cana-3473	186	5	,	,	PUNCT
cana-3473	186	6	n.	n.	PROPN
cana-3473	186	7	,	,	PUNCT
cana-3473	186	8	miah	miah	PROPN
cana-3473	186	9	,	,	PUNCT
cana-3473	186	10	a.	a.	PROPN
cana-3473	186	11	s.	s.	PROPN
cana-3473	186	12	m.	m.	PROPN
cana-3473	186	13	,	,	PUNCT
cana-3473	186	14	&	&	CCONJ
cana-3473	186	15	shin	shin	PROPN
cana-3473	186	16	,	,	PUNCT
cana-3473	186	17	j.	j.	PROPN
cana-3473	186	18	(	(	PUNCT
cana-3473	186	19	2024	2024	NUM
cana-3473	186	20	)	)	PUNCT
cana-3473	186	21	.	.	PUNCT
cana-3473	187	1	a	a	DET
cana-3473	187	2	deep	deep	ADJ
cana-3473	187	3	bidirectional	bidirectional	ADJ
cana-3473	187	4	lstm	lstm	NOUN
cana-3473	187	5	model	model	NOUN
cana-3473	187	6	enhanced	enhance	VERB
cana-3473	187	7	by	by	ADP
cana-3473	187	8	transfer	transfer	NOUN
cana-3473	187	9	-	-	PUNCT
cana-3473	187	10	learningbased	learningbase	VERB
cana-3473	187	11	feature	feature	NOUN
cana-3473	187	12	extraction	extraction	NOUN
cana-3473	187	13	for	for	ADP
cana-3473	187	14	dynamic	dynamic	ADJ
cana-3473	187	15	human	human	ADJ
cana-3473	187	16	activity	activity	NOUN
cana-3473	187	17	recognition	recognition	NOUN
cana-3473	187	18	.	.	PUNCT
cana-3473	188	1	applied	apply	VERB
cana-3473	188	2	sciences	science	NOUN
cana-3473	188	3	,	,	PUNCT
cana-3473	188	4	14(2	14(2	NUM
cana-3473	188	5	)	)	PUNCT
cana-3473	188	6	,	,	PUNCT
cana-3473	188	7	603	603	NUM
cana-3473	188	8	.	.	PUNCT
cana-3473	189	1	[	[	X
cana-3473	189	2	3	3	X
cana-3473	189	3	]	]	X
cana-3473	189	4	kumar	kumar	PROPN
cana-3473	189	5	,	,	PUNCT
cana-3473	189	6	l.	l.	PROPN
cana-3473	189	7	k.	k.	PROPN
cana-3473	189	8	,	,	PUNCT
cana-3473	189	9	thatha	thatha	INTJ
cana-3473	189	10	,	,	PUNCT
cana-3473	189	11	v.	v.	ADP
cana-3473	189	12	n.	n.	NOUN
cana-3473	189	13	,	,	PUNCT
cana-3473	189	14	udayaraju	udayaraju	PROPN
cana-3473	189	15	,	,	PUNCT
cana-3473	189	16	p.	p.	NOUN
cana-3473	189	17	,	,	PUNCT
cana-3473	189	18	siri	siri	NOUN
cana-3473	189	19	,	,	PUNCT
cana-3473	189	20	d.	d.	PROPN
cana-3473	189	21	,	,	PUNCT
cana-3473	189	22	kiran	kiran	PROPN
cana-3473	189	23	,	,	PUNCT
cana-3473	189	24	g.	g.	PROPN
cana-3473	189	25	u.	u.	PROPN
cana-3473	189	26	,	,	PUNCT
cana-3473	189	27	jagadesh	jagadesh	PROPN
cana-3473	189	28	,	,	PUNCT
cana-3473	189	29	b.	b.	PROPN
cana-3473	189	30	n.	n.	PROPN
cana-3473	189	31	,	,	PUNCT
cana-3473	189	32	&	&	CCONJ
cana-3473	189	33	vatambeti	vatambeti	PROPN
cana-3473	189	34	,	,	PUNCT
cana-3473	189	35	r.	r.	PROPN
cana-3473	189	36	(	(	PUNCT
cana-3473	189	37	2024	2024	NUM
cana-3473	189	38	)	)	PUNCT
cana-3473	189	39	.	.	PUNCT
cana-3473	190	1	analyzing	analyze	VERB
cana-3473	190	2	public	public	ADJ
cana-3473	190	3	sentiment	sentiment	NOUN
cana-3473	190	4	on	on	ADP
cana-3473	190	5	the	the	DET
cana-3473	190	6	amazon	amazon	NOUN
cana-3473	190	7	website	website	NOUN
cana-3473	190	8	:	:	PUNCT
cana-3473	190	9	a	a	DET
cana-3473	190	10	gsk	gsk	NOUN
cana-3473	190	11	-	-	PUNCT
cana-3473	190	12	based	base	VERB
cana-3473	190	13	double	double	ADJ
cana-3473	190	14	path	path	NOUN
cana-3473	190	15	transformer	transformer	NOUN
cana-3473	190	16	network	network	NOUN
cana-3473	190	17	approach	approach	NOUN
cana-3473	190	18	for	for	ADP
cana-3473	190	19	sentiment	sentiment	NOUN
cana-3473	190	20	analysis	analysis	NOUN
cana-3473	190	21	.	.	PUNCT
cana-3473	191	1	ieee	ieee	NOUN
cana-3473	191	2	access	access	NOUN
cana-3473	191	3	.	.	PUNCT
cana-3473	192	1	[	[	X
cana-3473	192	2	4	4	NUM
cana-3473	192	3	]	]	X
cana-3473	192	4	sharma	sharma	NOUN
cana-3473	192	5	,	,	PUNCT
cana-3473	192	6	p.	p.	NOUN
cana-3473	192	7	,	,	PUNCT
cana-3473	192	8	&	&	CCONJ
cana-3473	192	9	dash	dash	NOUN
cana-3473	192	10	,	,	PUNCT
cana-3473	192	11	b.	b.	PROPN
cana-3473	192	12	(	(	PUNCT
cana-3473	192	13	2023	2023	NUM
cana-3473	192	14	)	)	PUNCT
cana-3473	192	15	.	.	PUNCT
cana-3473	193	1	active	active	ADJ
cana-3473	193	2	noise	noise	NOUN
cana-3473	193	3	cancellation	cancellation	NOUN
cana-3473	193	4	in	in	ADP
cana-3473	193	5	microsoft	microsoft	PROPN
cana-3473	193	6	teams	team	NOUN
cana-3473	193	7	using	use	VERB
cana-3473	193	8	ai	ai	PROPN
cana-3473	193	9	&	&	CCONJ
cana-3473	193	10	nlp	nlp	ADJ
cana-3473	193	11	powered	powered	ADJ
cana-3473	193	12	algorithms	algorithm	NOUN
cana-3473	193	13	.	.	PUNCT
cana-3473	194	1	aircc	aircc	PROPN
cana-3473	194	2	's	's	PART
cana-3473	194	3	international	international	ADJ
cana-3473	194	4	journal	journal	NOUN
cana-3473	194	5	of	of	ADP
cana-3473	194	6	computer	computer	NOUN
cana-3473	194	7	science	science	NOUN
cana-3473	194	8	and	and	CCONJ
cana-3473	194	9	information	information	NOUN
cana-3473	194	10	technology	technology	NOUN
cana-3473	194	11	,	,	PUNCT
cana-3473	194	12	31	31	NUM
cana-3473	194	13	-	-	SYM
cana-3473	194	14	42	42	NUM
cana-3473	194	15	.	.	PUNCT
cana-3473	195	1	advances	advance	NOUN
cana-3473	195	2	in	in	ADP
cana-3473	195	3	nonlinear	nonlinear	ADJ
cana-3473	195	4	variational	variational	ADJ
cana-3473	195	5	inequalities	inequality	NOUN
cana-3473	195	6	issn	issn	VERB
cana-3473	195	7	:	:	PUNCT
cana-3473	195	8	1092	1092	NUM
cana-3473	195	9	-	-	PUNCT
cana-3473	195	10	910x	910x	NUM
cana-3473	195	11	vol	vol	NOUN
cana-3473	195	12	28	28	NUM
cana-3473	195	13	no	no	NOUN
cana-3473	195	14	.	.	PUNCT
cana-3473	196	1	7s	7	NOUN
cana-3473	196	2	(	(	PUNCT
cana-3473	196	3	2025	2025	NUM
cana-3473	196	4	)	)	PUNCT
cana-3473	197	1	673	673	NUM
cana-3473	197	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-3473	197	3	[	[	X
cana-3473	197	4	5	5	NUM
cana-3473	197	5	]	]	PUNCT
cana-3473	197	6	bowler	bowler	NOUN
cana-3473	197	7	,	,	PUNCT
cana-3473	197	8	l.	l.	PROPN
cana-3473	197	9	,	,	PUNCT
cana-3473	197	10	lopatovska	lopatovska	PROPN
cana-3473	197	11	,	,	PUNCT
cana-3473	197	12	i.	i.	PROPN
cana-3473	197	13	,	,	PUNCT
cana-3473	197	14	&	&	CCONJ
cana-3473	197	15	rosin	rosin	PROPN
cana-3473	197	16	,	,	PUNCT
cana-3473	197	17	m.	m.	NOUN
cana-3473	197	18	s.	s.	PROPN
cana-3473	197	19	(	(	PUNCT
cana-3473	197	20	2023	2023	NUM
cana-3473	197	21	)	)	PUNCT
cana-3473	197	22	.	.	PUNCT
cana-3473	198	1	teen	teen	NOUN
cana-3473	198	2	-	-	PUNCT
cana-3473	198	3	adult	adult	NOUN
cana-3473	198	4	interactions	interaction	NOUN
cana-3473	198	5	during	during	ADP
cana-3473	198	6	the	the	DET
cana-3473	198	7	co	co	NOUN
cana-3473	198	8	-	-	NOUN
cana-3473	198	9	design	design	NOUN
cana-3473	198	10	of	of	ADP
cana-3473	198	11	data	datum	NOUN
cana-3473	198	12	literacy	literacy	NOUN
cana-3473	198	13	activities	activity	NOUN
cana-3473	198	14	for	for	ADP
cana-3473	198	15	the	the	DET
cana-3473	198	16	public	public	ADJ
cana-3473	198	17	library	library	NOUN
cana-3473	198	18	:	:	PUNCT
cana-3473	199	1	insights	insight	NOUN
cana-3473	199	2	from	from	ADP
cana-3473	199	3	a	a	DET
cana-3473	199	4	natural	natural	ADJ
cana-3473	199	5	language	language	NOUN
cana-3473	199	6	processing	processing	NOUN
cana-3473	199	7	analysis	analysis	NOUN
cana-3473	199	8	of	of	ADP
cana-3473	199	9	linguistic	linguistic	ADJ
cana-3473	199	10	patterns	pattern	NOUN
cana-3473	199	11	.	.	PUNCT
cana-3473	200	1	information	information	NOUN
cana-3473	200	2	and	and	CCONJ
cana-3473	200	3	learning	learn	VERB
cana-3473	200	4	sciences	science	NOUN
cana-3473	200	5	.	.	PUNCT
cana-3473	201	1	[	[	X
cana-3473	201	2	6	6	NUM
cana-3473	201	3	]	]	X
cana-3473	201	4	sarmet	sarmet	NOUN
cana-3473	201	5	,	,	PUNCT
cana-3473	201	6	m.	m.	NOUN
cana-3473	201	7	,	,	PUNCT
cana-3473	201	8	kabani	kabani	PROPN
cana-3473	201	9	,	,	PUNCT
cana-3473	201	10	a.	a.	NOUN
cana-3473	201	11	,	,	PUNCT
cana-3473	201	12	coelho	coelho	PROPN
cana-3473	201	13	,	,	PUNCT
cana-3473	201	14	l.	l.	PROPN
cana-3473	201	15	,	,	PUNCT
cana-3473	201	16	dos	do	VERB
cana-3473	201	17	reis	reis	NOUN
cana-3473	201	18	,	,	PUNCT
cana-3473	201	19	s.	s.	PROPN
cana-3473	201	20	s.	s.	PROPN
cana-3473	201	21	,	,	PUNCT
cana-3473	201	22	zeredo	zeredo	PROPN
cana-3473	201	23	,	,	PUNCT
cana-3473	201	24	j.	j.	PROPN
cana-3473	201	25	l.	l.	PROPN
cana-3473	201	26	,	,	PUNCT
cana-3473	201	27	&	&	CCONJ
cana-3473	201	28	mehta	mehta	PROPN
cana-3473	201	29	,	,	PUNCT
cana-3473	201	30	a.	a.	PROPN
cana-3473	201	31	k.	k.	PROPN
cana-3473	201	32	(	(	PUNCT
cana-3473	201	33	2023	2023	NUM
cana-3473	201	34	)	)	PUNCT
cana-3473	201	35	.	.	PUNCT
cana-3473	202	1	the	the	DET
cana-3473	202	2	use	use	NOUN
cana-3473	202	3	of	of	ADP
cana-3473	202	4	natural	natural	ADJ
cana-3473	202	5	language	language	NOUN
cana-3473	202	6	processing	processing	NOUN
cana-3473	202	7	in	in	ADP
cana-3473	202	8	palliative	palliative	ADJ
cana-3473	202	9	care	care	NOUN
cana-3473	202	10	research	research	NOUN
cana-3473	202	11	:	:	PUNCT
cana-3473	202	12	a	a	DET
cana-3473	202	13	scoping	scope	VERB
cana-3473	202	14	review	review	NOUN
cana-3473	202	15	.	.	PUNCT
cana-3473	203	1	palliative	palliative	ADJ
cana-3473	203	2	medicine	medicine	NOUN
cana-3473	203	3	,	,	PUNCT
cana-3473	203	4	37(2	37(2	PROPN
cana-3473	203	5	)	)	PUNCT
cana-3473	203	6	,	,	PUNCT
cana-3473	203	7	275	275	NUM
cana-3473	203	8	-	-	SYM
cana-3473	203	9	290	290	NUM
cana-3473	203	10	.	.	PUNCT
cana-3473	204	1	[	[	X
cana-3473	204	2	7	7	X
cana-3473	204	3	]	]	X
cana-3473	204	4	kumar	kumar	PROPN
cana-3473	204	5	,	,	PUNCT
cana-3473	204	6	m.	m.	NOUN
cana-3473	204	7	,	,	PUNCT
cana-3473	204	8	janani	janani	PROPN
cana-3473	204	9	,	,	PUNCT
cana-3473	204	10	p.	p.	PROPN
cana-3473	204	11	,	,	PUNCT
cana-3473	204	12	kumaragurubaran	kumaragurubaran	NOUN
cana-3473	204	13	,	,	PUNCT
cana-3473	204	14	k.	k.	PROPN
cana-3473	204	15	,	,	PUNCT
cana-3473	204	16	&	&	CCONJ
cana-3473	204	17	sundari	sundari	PROPN
cana-3473	204	18	,	,	PUNCT
cana-3473	204	19	p.	p.	NOUN
cana-3473	204	20	(	(	PUNCT
cana-3473	204	21	2023	2023	NUM
cana-3473	204	22	)	)	PUNCT
cana-3473	204	23	.	.	PUNCT
cana-3473	205	1	automated	automate	VERB
cana-3473	205	2	notes	note	NOUN
cana-3473	205	3	maker	maker	NOUN
cana-3473	205	4	from	from	ADP
cana-3473	205	5	audio	audio	ADJ
cana-3473	205	6	recordings	recording	NOUN
cana-3473	205	7	.	.	PUNCT
cana-3473	206	1	journal	journal	NOUN
cana-3473	206	2	of	of	ADP
cana-3473	206	3	image	image	NOUN
cana-3473	206	4	processing	processing	NOUN
cana-3473	206	5	and	and	CCONJ
cana-3473	206	6	intelligent	intelligent	ADJ
cana-3473	206	7	remote	remote	ADJ
cana-3473	206	8	sensing	sensing	NOUN
cana-3473	206	9	(	(	PUNCT
cana-3473	206	10	jipirs	jipirs	PROPN
cana-3473	206	11	)	)	PUNCT
cana-3473	206	12	issn	issn	PROPN
cana-3473	206	13	2815	2815	NUM
cana-3473	206	14	-	-	SYM
cana-3473	206	15	0953	0953	NUM
cana-3473	206	16	,	,	PUNCT
cana-3473	206	17	3(03	3(03	NUM
cana-3473	206	18	)	)	PUNCT
cana-3473	206	19	,	,	PUNCT
cana-3473	206	20	22	22	NUM
cana-3473	206	21	-	-	SYM
cana-3473	206	22	26	26	NUM
cana-3473	206	23	.	.	PUNCT
cana-3473	207	1	[	[	X
cana-3473	207	2	8	8	NUM
cana-3473	207	3	]	]	X
cana-3473	207	4	joel	joel	PROPN
cana-3473	207	5	,	,	PUNCT
cana-3473	207	6	m.	m.	PROPN
cana-3473	207	7	r.	r.	PROPN
cana-3473	207	8	,	,	PUNCT
cana-3473	207	9	ebenezer	ebenezer	PROPN
cana-3473	207	10	,	,	PUNCT
cana-3473	207	11	v.	v.	PROPN
cana-3473	207	12	,	,	PUNCT
cana-3473	207	13	jeyaraj	jeyaraj	PROPN
cana-3473	207	14	,	,	PUNCT
cana-3473	207	15	k.	k.	PROPN
cana-3473	207	16	a.	a.	PROPN
cana-3473	207	17	,	,	PUNCT
cana-3473	207	18	navaneethakrishnan	navaneethakrishnan	ADJ
cana-3473	207	19	,	,	PUNCT
cana-3473	207	20	m.	m.	NOUN
cana-3473	207	21	,	,	PUNCT
cana-3473	207	22	arunadevi	arunadevi	PROPN
cana-3473	207	23	,	,	PUNCT
cana-3473	207	24	r.	r.	PROPN
cana-3473	207	25	,	,	PUNCT
cana-3473	207	26	&	&	CCONJ
cana-3473	207	27	jenifa	jenifa	PROPN
cana-3473	207	28	,	,	PUNCT
cana-3473	207	29	d.	d.	PROPN
cana-3473	207	30	r.	r.	PROPN
cana-3473	207	31	(	(	PUNCT
cana-3473	207	32	2023	2023	NUM
cana-3473	207	33	,	,	PUNCT
cana-3473	207	34	february	february	PROPN
cana-3473	207	35	)	)	PUNCT
cana-3473	207	36	.	.	PUNCT
cana-3473	208	1	decoding	decode	VERB
cana-3473	208	2	and	and	CCONJ
cana-3473	208	3	analysing	analyse	VERB
cana-3473	208	4	consumer	consumer	NOUN
cana-3473	208	5	feedback	feedback	NOUN
cana-3473	208	6	for	for	ADP
cana-3473	208	7	companies	company	NOUN
cana-3473	208	8	and	and	CCONJ
cana-3473	208	9	goods	good	NOUN
cana-3473	208	10	using	use	VERB
cana-3473	208	11	machine	machine	NOUN
cana-3473	208	12	learning	learning	NOUN
cana-3473	208	13	.	.	PUNCT
cana-3473	209	1	in	in	ADP
cana-3473	209	2	2023	2023	NUM
cana-3473	209	3	third	third	ADJ
cana-3473	209	4	international	international	ADJ
cana-3473	209	5	conference	conference	NOUN
cana-3473	209	6	on	on	ADP
cana-3473	209	7	artificial	artificial	ADJ
cana-3473	209	8	intelligence	intelligence	NOUN
cana-3473	209	9	and	and	CCONJ
cana-3473	209	10	smart	smart	ADJ
cana-3473	209	11	energy	energy	NOUN
cana-3473	209	12	(	(	PUNCT
cana-3473	209	13	icais	icais	PROPN
cana-3473	209	14	)	)	PUNCT
cana-3473	209	15	(	(	PUNCT
cana-3473	209	16	pp	pp	ADP
cana-3473	209	17	.	.	PUNCT
cana-3473	210	1	1085	1085	NUM
cana-3473	210	2	-	-	SYM
cana-3473	210	3	1091	1091	NUM
cana-3473	210	4	)	)	PUNCT
cana-3473	210	5	.	.	PUNCT
cana-3473	211	1	ieee	ieee	PROPN
cana-3473	211	2	.	.	PUNCT
cana-3473	212	1	[	[	X
cana-3473	212	2	9	9	NUM
cana-3473	212	3	]	]	PUNCT
cana-3473	212	4	shah	shah	NOUN
cana-3473	212	5	,	,	PUNCT
cana-3473	212	6	s.	s.	PROPN
cana-3473	212	7	,	,	PUNCT
cana-3473	212	8	ghomeshi	ghomeshi	PROPN
cana-3473	212	9	,	,	PUNCT
cana-3473	212	10	h.	h.	PROPN
cana-3473	212	11	,	,	PUNCT
cana-3473	212	12	vakaj	vakaj	PROPN
cana-3473	212	13	,	,	PUNCT
cana-3473	212	14	e.	e.	PROPN
cana-3473	212	15	,	,	PUNCT
cana-3473	212	16	cooper	cooper	PROPN
cana-3473	212	17	,	,	PUNCT
cana-3473	212	18	e.	e.	PROPN
cana-3473	212	19	,	,	PUNCT
cana-3473	212	20	&	&	CCONJ
cana-3473	212	21	fouad	fouad	PROPN
cana-3473	212	22	,	,	PUNCT
cana-3473	212	23	s.	s.	PROPN
cana-3473	212	24	(	(	PUNCT
cana-3473	212	25	2023	2023	NUM
cana-3473	212	26	)	)	PUNCT
cana-3473	212	27	.	.	PUNCT
cana-3473	213	1	a	a	DET
cana-3473	213	2	review	review	NOUN
cana-3473	213	3	of	of	ADP
cana-3473	213	4	natural	natural	ADJ
cana-3473	213	5	language	language	NOUN
cana-3473	213	6	processing	processing	NOUN
cana-3473	213	7	in	in	ADP
cana-3473	213	8	contact	contact	NOUN
cana-3473	213	9	centre	centre	NOUN
cana-3473	213	10	automation	automation	NOUN
cana-3473	213	11	.	.	PUNCT
cana-3473	214	1	pattern	pattern	NOUN
cana-3473	214	2	analysis	analysis	NOUN
cana-3473	214	3	and	and	CCONJ
cana-3473	214	4	applications	application	NOUN
cana-3473	214	5	,	,	PUNCT
cana-3473	214	6	26(3	26(3	NUM
cana-3473	214	7	)	)	PUNCT
cana-3473	214	8	,	,	PUNCT
cana-3473	214	9	823	823	NUM
cana-3473	214	10	-	-	SYM
cana-3473	214	11	846	846	NUM
cana-3473	214	12	.	.	PUNCT
cana-3473	215	1	[	[	X
cana-3473	215	2	10	10	NUM
cana-3473	215	3	]	]	X
cana-3473	215	4	khan	khan	PROPN
cana-3473	215	5	,	,	PUNCT
cana-3473	215	6	m.	m.	NOUN
cana-3473	215	7	u.	u.	PROPN
cana-3473	215	8	,	,	PUNCT
cana-3473	215	9	javed	javed	PROPN
cana-3473	215	10	,	,	PUNCT
cana-3473	215	11	a.	a.	PROPN
cana-3473	215	12	r.	r.	PROPN
cana-3473	215	13	,	,	PUNCT
cana-3473	215	14	ihsan	ihsan	PROPN
cana-3473	215	15	,	,	PUNCT
cana-3473	215	16	m.	m.	NOUN
cana-3473	215	17	,	,	PUNCT
cana-3473	215	18	&	&	CCONJ
cana-3473	215	19	tariq	tariq	PROPN
cana-3473	215	20	,	,	PUNCT
cana-3473	215	21	u.	u.	PROPN
cana-3473	215	22	(	(	PUNCT
cana-3473	215	23	2023	2023	NUM
cana-3473	215	24	)	)	PUNCT
cana-3473	215	25	.	.	PUNCT
cana-3473	216	1	a	a	DET
cana-3473	216	2	novel	novel	ADJ
cana-3473	216	3	category	category	NOUN
cana-3473	216	4	detection	detection	NOUN
cana-3473	216	5	of	of	ADP
cana-3473	216	6	social	social	ADJ
cana-3473	216	7	media	medium	NOUN
cana-3473	216	8	reviews	review	NOUN
cana-3473	216	9	in	in	ADP
cana-3473	216	10	the	the	DET
cana-3473	216	11	restaurant	restaurant	NOUN
cana-3473	216	12	industry	industry	NOUN
cana-3473	216	13	.	.	PUNCT
cana-3473	217	1	multimedia	multimedia	NOUN
cana-3473	217	2	systems	system	NOUN
cana-3473	217	3	,	,	PUNCT
cana-3473	217	4	29(3	29(3	NUM
cana-3473	217	5	)	)	PUNCT
cana-3473	217	6	,	,	PUNCT
cana-3473	217	7	1825	1825	NUM
cana-3473	217	8	-	-	SYM
cana-3473	217	9	1838	1838	NUM
cana-3473	217	10	.	.	PUNCT
cana-3473	218	1	[	[	X
cana-3473	218	2	11	11	NUM
cana-3473	218	3	]	]	X
cana-3473	218	4	kumar	kumar	PROPN
cana-3473	218	5	,	,	PUNCT
cana-3473	218	6	l.	l.	PROPN
cana-3473	218	7	k.	k.	PROPN
cana-3473	218	8	,	,	PUNCT
cana-3473	218	9	thatha	thatha	INTJ
cana-3473	218	10	,	,	PUNCT
cana-3473	218	11	v.	v.	ADP
cana-3473	218	12	n.	n.	NOUN
cana-3473	218	13	,	,	PUNCT
cana-3473	218	14	udayaraju	udayaraju	PROPN
cana-3473	218	15	,	,	PUNCT
cana-3473	218	16	p.	p.	NOUN
cana-3473	218	17	,	,	PUNCT
cana-3473	218	18	siri	siri	NOUN
cana-3473	218	19	,	,	PUNCT
cana-3473	218	20	d.	d.	PROPN
cana-3473	218	21	,	,	PUNCT
cana-3473	218	22	kiran	kiran	PROPN
cana-3473	218	23	,	,	PUNCT
cana-3473	218	24	g.	g.	PROPN
cana-3473	218	25	u.	u.	PROPN
cana-3473	218	26	,	,	PUNCT
cana-3473	218	27	jagadesh	jagadesh	PROPN
cana-3473	218	28	,	,	PUNCT
cana-3473	218	29	b.	b.	PROPN
cana-3473	218	30	n.	n.	PROPN
cana-3473	218	31	,	,	PUNCT
cana-3473	218	32	&	&	CCONJ
cana-3473	218	33	vatambeti	vatambeti	PROPN
cana-3473	218	34	,	,	PUNCT
cana-3473	218	35	r.	r.	PROPN
cana-3473	218	36	(	(	PUNCT
cana-3473	218	37	2024	2024	NUM
cana-3473	218	38	)	)	PUNCT
cana-3473	218	39	.	.	PUNCT
cana-3473	219	1	analyzing	analyze	VERB
cana-3473	219	2	public	public	ADJ
cana-3473	219	3	sentiment	sentiment	NOUN
cana-3473	219	4	on	on	ADP
cana-3473	219	5	the	the	DET
cana-3473	219	6	amazon	amazon	NOUN
cana-3473	219	7	website	website	NOUN
cana-3473	219	8	:	:	PUNCT
cana-3473	219	9	a	a	DET
cana-3473	219	10	gsk	gsk	NOUN
cana-3473	219	11	-	-	PUNCT
cana-3473	219	12	based	base	VERB
cana-3473	219	13	double	double	ADJ
cana-3473	219	14	path	path	NOUN
cana-3473	219	15	transformer	transformer	NOUN
cana-3473	219	16	network	network	NOUN
cana-3473	219	17	approach	approach	NOUN
cana-3473	219	18	for	for	ADP
cana-3473	219	19	sentiment	sentiment	NOUN
cana-3473	219	20	analysis	analysis	NOUN
cana-3473	219	21	.	.	PUNCT
cana-3473	220	1	ieee	ieee	NOUN
cana-3473	220	2	access	access	NOUN
cana-3473	220	3	.	.	PUNCT
cana-3473	221	1	[	[	X
cana-3473	221	2	12	12	NUM
cana-3473	221	3	]	]	X
cana-3473	221	4	symum	symum	ADJ
cana-3473	221	5	,	,	PUNCT
cana-3473	221	6	m.	m.	NOUN
cana-3473	221	7	a.	a.	PROPN
cana-3473	221	8	a.	a.	PROPN
cana-3473	221	9	,	,	PUNCT
cana-3473	221	10	sheemu	sheemu	PROPN
cana-3473	221	11	,	,	PUNCT
cana-3473	221	12	s.	s.	PROPN
cana-3473	221	13	y.	y.	PROPN
cana-3473	221	14	,	,	PUNCT
cana-3473	221	15	asif	asif	PROPN
cana-3473	221	16	,	,	PUNCT
cana-3473	221	17	a.	a.	PROPN
cana-3473	221	18	s.	s.	PROPN
cana-3473	221	19	m.	m.	PROPN
cana-3473	221	20	,	,	PUNCT
cana-3473	221	21	&	&	CCONJ
cana-3473	221	22	islam	islam	PROPN
cana-3473	221	23	,	,	PUNCT
cana-3473	221	24	k.	k.	PROPN
cana-3473	221	25	(	(	PUNCT
cana-3473	221	26	2023	2023	NUM
cana-3473	221	27	)	)	PUNCT
cana-3473	221	28	.	.	PUNCT
cana-3473	222	1	sentimental	sentimental	ADJ
cana-3473	222	2	analysis	analysis	NOUN
cana-3473	222	3	of	of	ADP
cana-3473	222	4	customer	customer	NOUN
cana-3473	222	5	product	product	NOUN
cana-3473	222	6	reviews	review	NOUN
cana-3473	222	7	to	to	PART
cana-3473	222	8	understand	understand	VERB
cana-3473	222	9	customer	customer	NOUN
cana-3473	222	10	needs	need	VERB
cana-3473	222	11	using	use	VERB
cana-3473	222	12	machine	machine	NOUN
cana-3473	222	13	learning	learning	NOUN
cana-3473	222	14	(	(	PUNCT
cana-3473	222	15	doctoral	doctoral	ADJ
cana-3473	222	16	dissertation	dissertation	NOUN
cana-3473	222	17	,	,	PUNCT
cana-3473	222	18	brac	brac	PROPN
cana-3473	222	19	university	university	PROPN
cana-3473	222	20	)	)	PUNCT
cana-3473	222	21	.	.	PUNCT
cana-3473	223	1	[	[	X
cana-3473	223	2	13	13	NUM
cana-3473	223	3	]	]	X
cana-3473	223	4	iqbal	iqbal	PROPN
cana-3473	223	5	,	,	PUNCT
cana-3473	223	6	a.	a.	PROPN
cana-3473	223	7	,	,	PUNCT
cana-3473	223	8	amin	amin	PROPN
cana-3473	223	9	,	,	PUNCT
cana-3473	223	10	r.	r.	PROPN
cana-3473	223	11	,	,	PUNCT
cana-3473	223	12	iqbal	iqbal	PROPN
cana-3473	223	13	,	,	PUNCT
cana-3473	223	14	j.	j.	PROPN
cana-3473	223	15	,	,	PUNCT
cana-3473	223	16	alroobaea	alroobaea	NOUN
cana-3473	223	17	,	,	PUNCT
cana-3473	223	18	r.	r.	PROPN
cana-3473	223	19	,	,	PUNCT
cana-3473	223	20	binmahfoudh	binmahfoudh	NOUN
cana-3473	223	21	,	,	PUNCT
cana-3473	223	22	a.	a.	NOUN
cana-3473	223	23	,	,	PUNCT
cana-3473	223	24	&	&	CCONJ
cana-3473	223	25	hussain	hussain	PROPN
cana-3473	223	26	,	,	PUNCT
cana-3473	223	27	m.	m.	NOUN
cana-3473	223	28	(	(	PUNCT
cana-3473	223	29	2022	2022	NUM
cana-3473	223	30	)	)	PUNCT
cana-3473	223	31	.	.	PUNCT
cana-3473	224	1	sentiment	sentiment	NOUN
cana-3473	224	2	analysis	analysis	NOUN
cana-3473	224	3	of	of	ADP
cana-3473	224	4	consumer	consumer	NOUN
cana-3473	224	5	reviews	review	NOUN
cana-3473	224	6	using	use	VERB
cana-3473	224	7	deep	deep	ADJ
cana-3473	224	8	learning	learning	NOUN
cana-3473	224	9	.	.	PUNCT
cana-3473	225	1	sustainability	sustainability	NOUN
cana-3473	225	2	,	,	PUNCT
cana-3473	225	3	14(17	14(17	NUM
cana-3473	225	4	)	)	PUNCT
cana-3473	225	5	,	,	PUNCT
cana-3473	225	6	10844	10844	NUM
cana-3473	225	7	.	.	PUNCT
cana-3473	226	1	[	[	X
cana-3473	226	2	14	14	NUM
cana-3473	226	3	]	]	X
cana-3473	226	4	ahmed	ahmed	PROPN
cana-3473	226	5	,	,	PUNCT
cana-3473	226	6	a.	a.	PROPN
cana-3473	226	7	a.	a.	PROPN
cana-3473	226	8	a.	a.	PROPN
cana-3473	226	9	,	,	PUNCT
cana-3473	226	10	agarwal	agarwal	PROPN
cana-3473	226	11	,	,	PUNCT
cana-3473	226	12	s.	s.	PROPN
cana-3473	226	13	,	,	PUNCT
cana-3473	226	14	kurniawan	kurniawan	PROPN
cana-3473	226	15	,	,	PUNCT
cana-3473	226	16	i.	i.	PROPN
cana-3473	226	17	g.	g.	PROPN
cana-3473	226	18	a.	a.	PROPN
cana-3473	226	19	,	,	PUNCT
cana-3473	226	20	anantadjaya	anantadjaya	PROPN
cana-3473	226	21	,	,	PUNCT
cana-3473	226	22	s.	s.	PROPN
cana-3473	226	23	p.	p.	PROPN
cana-3473	226	24	,	,	PUNCT
cana-3473	226	25	&	&	CCONJ
cana-3473	226	26	krishnan	krishnan	PROPN
cana-3473	226	27	,	,	PUNCT
cana-3473	226	28	c.	c.	PROPN
cana-3473	226	29	(	(	PUNCT
cana-3473	226	30	2022	2022	NUM
cana-3473	226	31	)	)	PUNCT
cana-3473	226	32	.	.	PUNCT
cana-3473	227	1	business	business	NOUN
cana-3473	227	2	boosting	boost	VERB
cana-3473	227	3	through	through	ADP
cana-3473	227	4	sentiment	sentiment	NOUN
cana-3473	227	5	analysis	analysis	NOUN
cana-3473	227	6	using	use	VERB
cana-3473	227	7	artificial	artificial	ADJ
cana-3473	227	8	intelligence	intelligence	NOUN
cana-3473	227	9	approach	approach	NOUN
cana-3473	227	10	.	.	PUNCT
cana-3473	228	1	international	international	ADJ
cana-3473	228	2	journal	journal	PROPN
cana-3473	228	3	of	of	ADP
cana-3473	228	4	system	system	NOUN
cana-3473	228	5	assurance	assurance	NOUN
cana-3473	228	6	engineering	engineering	NOUN
cana-3473	228	7	and	and	CCONJ
cana-3473	228	8	management	management	NOUN
cana-3473	228	9	,	,	PUNCT
cana-3473	228	10	13(suppl	13(suppl	NUM
cana-3473	228	11	1	1	NUM
cana-3473	228	12	)	)	PUNCT
cana-3473	228	13	,	,	PUNCT
cana-3473	228	14	699	699	NUM
cana-3473	228	15	-	-	SYM
cana-3473	228	16	709	709	NUM
cana-3473	228	17	.	.	PUNCT
cana-3473	229	1	[	[	X
cana-3473	229	2	15	15	NUM
cana-3473	229	3	]	]	X
cana-3473	229	4	trisna	trisna	PROPN
cana-3473	229	5	,	,	PUNCT
cana-3473	229	6	k.	k.	PROPN
cana-3473	229	7	w.	w.	PROPN
cana-3473	229	8	,	,	PUNCT
cana-3473	229	9	&	&	CCONJ
cana-3473	229	10	jie	jie	PROPN
cana-3473	229	11	,	,	PUNCT
cana-3473	229	12	h.	h.	PROPN
cana-3473	229	13	j.	j.	PROPN
cana-3473	229	14	(	(	PUNCT
cana-3473	229	15	2022	2022	NUM
cana-3473	229	16	)	)	PUNCT
cana-3473	229	17	.	.	PUNCT
cana-3473	230	1	deep	deep	ADJ
cana-3473	230	2	learning	learn	VERB
cana-3473	230	3	approach	approach	NOUN
cana-3473	230	4	for	for	ADP
cana-3473	230	5	aspect	aspect	NOUN
cana-3473	230	6	-	-	PUNCT
cana-3473	230	7	based	base	VERB
cana-3473	230	8	sentiment	sentiment	NOUN
cana-3473	230	9	classification	classification	NOUN
cana-3473	230	10	:	:	PUNCT
cana-3473	230	11	a	a	DET
cana-3473	230	12	comparative	comparative	ADJ
cana-3473	230	13	review	review	NOUN
cana-3473	230	14	.	.	PUNCT
cana-3473	231	1	applied	apply	VERB
cana-3473	231	2	artificial	artificial	ADJ
cana-3473	231	3	intelligence	intelligence	NOUN
cana-3473	231	4	,	,	PUNCT
cana-3473	231	5	36(1	36(1	NUM
cana-3473	231	6	)	)	PUNCT
cana-3473	231	7	,	,	PUNCT
cana-3473	231	8	2014186	2014186	NUM
cana-3473	231	9	.	.	PUNCT
cana-3473	232	1	[	[	X
cana-3473	232	2	16	16	NUM
cana-3473	232	3	]	]	PUNCT
cana-3473	232	4	jain	jain	PROPN
cana-3473	232	5	,	,	PUNCT
cana-3473	232	6	p.	p.	PROPN
cana-3473	232	7	k.	k.	PROPN
cana-3473	232	8	,	,	PUNCT
cana-3473	232	9	pamula	pamula	NOUN
cana-3473	232	10	,	,	PUNCT
cana-3473	232	11	r.	r.	PROPN
cana-3473	232	12	,	,	PUNCT
cana-3473	232	13	&	&	CCONJ
cana-3473	232	14	srivastava	srivastava	PROPN
cana-3473	232	15	,	,	PUNCT
cana-3473	232	16	g.	g.	PROPN
cana-3473	232	17	(	(	PUNCT
cana-3473	232	18	2021	2021	NUM
cana-3473	232	19	)	)	PUNCT
cana-3473	232	20	.	.	PUNCT
cana-3473	233	1	a	a	DET
cana-3473	233	2	systematic	systematic	ADJ
cana-3473	233	3	literature	literature	NOUN
cana-3473	233	4	review	review	NOUN
cana-3473	233	5	on	on	ADP
cana-3473	233	6	machine	machine	NOUN
cana-3473	233	7	learning	learning	NOUN
cana-3473	233	8	applications	application	NOUN
cana-3473	233	9	for	for	ADP
cana-3473	233	10	consumer	consumer	NOUN
cana-3473	233	11	sentiment	sentiment	NOUN
cana-3473	233	12	analysis	analysis	NOUN
cana-3473	233	13	using	use	VERB
cana-3473	233	14	online	online	ADJ
cana-3473	233	15	reviews	review	NOUN
cana-3473	233	16	.	.	PUNCT
cana-3473	234	1	computer	computer	NOUN
cana-3473	234	2	science	science	PROPN
cana-3473	234	3	review	review	PROPN
cana-3473	234	4	,	,	PUNCT
cana-3473	234	5	41	41	NUM
cana-3473	234	6	,	,	PUNCT
cana-3473	234	7	100413	100413	NUM
cana-3473	234	8	.	.	PUNCT
cana-3473	235	1	[	[	X
cana-3473	235	2	17	17	NUM
cana-3473	235	3	]	]	SYM
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cana-3473	235	5	,	,	PUNCT
cana-3473	235	6	a.	a.	PROPN
cana-3473	235	7	f.	f.	PROPN
cana-3473	235	8	(	(	PUNCT
cana-3473	235	9	2022	2022	NUM
cana-3473	235	10	)	)	PUNCT
cana-3473	235	11	.	.	PUNCT
cana-3473	236	1	a	a	DET
cana-3473	236	2	sentiment	sentiment	NOUN
cana-3473	236	3	analysis	analysis	NOUN
cana-3473	236	4	method	method	NOUN
cana-3473	236	5	based	base	VERB
cana-3473	236	6	on	on	ADP
cana-3473	236	7	a	a	DET
cana-3473	236	8	blockchain	blockchain	NOUN
cana-3473	236	9	-	-	PUNCT
cana-3473	236	10	supported	support	VERB
cana-3473	236	11	long	long	ADJ
cana-3473	236	12	short	short	ADJ
cana-3473	236	13	-	-	PUNCT
cana-3473	236	14	term	term	NOUN
cana-3473	236	15	memory	memory	NOUN
cana-3473	236	16	deep	deep	ADJ
cana-3473	236	17	network	network	NOUN
cana-3473	236	18	.	.	PUNCT
cana-3473	237	1	sensors	sensor	NOUN
cana-3473	237	2	,	,	PUNCT
cana-3473	237	3	22(12	22(12	NUM
cana-3473	237	4	)	)	PUNCT
cana-3473	237	5	,	,	PUNCT
cana-3473	237	6	4419	4419	NUM
cana-3473	237	7	.	.	PUNCT
cana-3473	238	1	[	[	X
cana-3473	238	2	18	18	NUM
cana-3473	238	3	]	]	SYM
cana-3473	238	4	dang	dang	PROPN
cana-3473	238	5	,	,	PUNCT
cana-3473	238	6	c.	c.	PROPN
cana-3473	238	7	n.	n.	PROPN
cana-3473	238	8	,	,	PUNCT
cana-3473	238	9	moreno	moreno	PROPN
cana-3473	238	10	-	-	PUNCT
cana-3473	238	11	garcía	garcía	ADJ
cana-3473	238	12	,	,	PUNCT
cana-3473	238	13	m.	m.	NOUN
cana-3473	238	14	n.	n.	PROPN
cana-3473	238	15	,	,	PUNCT
cana-3473	238	16	&	&	CCONJ
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cana-3473	238	18	,	,	PUNCT
cana-3473	238	19	f.	f.	PROPN
cana-3473	238	20	d.	d.	PROPN
cana-3473	238	21	l.	l.	PROPN
cana-3473	238	22	(	(	PUNCT
cana-3473	238	23	2021	2021	NUM
cana-3473	238	24	)	)	PUNCT
cana-3473	238	25	.	.	PUNCT
cana-3473	239	1	an	an	DET
cana-3473	239	2	approach	approach	NOUN
cana-3473	239	3	to	to	ADP
cana-3473	239	4	integrating	integrate	VERB
cana-3473	239	5	sentiment	sentiment	NOUN
cana-3473	239	6	analysis	analysis	NOUN
cana-3473	239	7	into	into	ADP
cana-3473	239	8	recommender	recommender	NOUN
cana-3473	239	9	systems	system	NOUN
cana-3473	239	10	.	.	PUNCT
cana-3473	240	1	sensors	sensor	NOUN
cana-3473	240	2	,	,	PUNCT
cana-3473	240	3	21(16	21(16	NOUN
cana-3473	240	4	)	)	PUNCT
cana-3473	240	5	,	,	PUNCT
cana-3473	240	6	5666	5666	NUM
cana-3473	240	7	.	.	PUNCT
cana-3473	241	1	[	[	X
cana-3473	241	2	19	19	NUM
cana-3473	241	3	]	]	X
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cana-3473	241	5	,	,	PUNCT
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cana-3473	241	7	,	,	PUNCT
cana-3473	241	8	ghosh	ghosh	PROPN
cana-3473	241	9	,	,	PUNCT
cana-3473	241	10	a.	a.	PROPN
cana-3473	241	11	,	,	PUNCT
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cana-3473	241	13	,	,	PUNCT
cana-3473	241	14	z.	z.	PROPN
cana-3473	241	15	k.	k.	PROPN
cana-3473	241	16	,	,	PUNCT
cana-3473	241	17	chowdhury	chowdhury	PROPN
cana-3473	241	18	,	,	PUNCT
cana-3473	241	19	w.	w.	PROPN
cana-3473	241	20	a.	a.	PROPN
cana-3473	241	21	,	,	PUNCT
cana-3473	241	22	&	&	CCONJ
cana-3473	241	23	shehan	shehan	PROPN
cana-3473	241	24	,	,	PUNCT
cana-3473	241	25	m.	m.	NOUN
cana-3473	241	26	s.	s.	PROPN
cana-3473	241	27	h.	h.	PROPN
cana-3473	241	28	(	(	PUNCT
cana-3473	241	29	2021	2021	NUM
cana-3473	241	30	)	)	PUNCT
cana-3473	241	31	.	.	PUNCT
cana-3473	242	1	amazon	amazon	NOUN
cana-3473	242	2	product	product	NOUN
cana-3473	242	3	reviews	review	NOUN
cana-3473	242	4	sentiment	sentiment	NOUN
cana-3473	242	5	analysis	analysis	NOUN
cana-3473	242	6	using	use	VERB
cana-3473	242	7	supervised	supervised	ADJ
cana-3473	242	8	learning	learning	NOUN
cana-3473	242	9	algorithms	algorithm	NOUN
cana-3473	242	10	(	(	PUNCT
cana-3473	242	11	doctoral	doctoral	ADJ
cana-3473	242	12	dissertation	dissertation	NOUN
cana-3473	242	13	,	,	PUNCT
cana-3473	242	14	brac	brac	PROPN
cana-3473	242	15	university	university	PROPN
cana-3473	242	16	)	)	PUNCT
cana-3473	242	17	.	.	PUNCT
cana-3473	243	1	[	[	X
cana-3473	243	2	20	20	NUM
cana-3473	243	3	]	]	PUNCT
cana-3473	243	4	jain	jain	NOUN
cana-3473	243	5	,	,	PUNCT
cana-3473	243	6	p.	p.	PROPN
cana-3473	243	7	k.	k.	PROPN
cana-3473	243	8	,	,	PUNCT
cana-3473	243	9	pamula	pamula	NOUN
cana-3473	243	10	,	,	PUNCT
cana-3473	243	11	r.	r.	PROPN
cana-3473	243	12	,	,	PUNCT
cana-3473	243	13	&	&	CCONJ
cana-3473	243	14	srivastava	srivastava	PROPN
cana-3473	243	15	,	,	PUNCT
cana-3473	243	16	g.	g.	PROPN
cana-3473	243	17	(	(	PUNCT
cana-3473	243	18	2021	2021	NUM
cana-3473	243	19	)	)	PUNCT
cana-3473	243	20	.	.	PUNCT
cana-3473	244	1	a	a	DET
cana-3473	244	2	systematic	systematic	ADJ
cana-3473	244	3	literature	literature	NOUN
cana-3473	244	4	review	review	NOUN
cana-3473	244	5	on	on	ADP
cana-3473	244	6	machine	machine	NOUN
cana-3473	244	7	learning	learning	NOUN
cana-3473	244	8	applications	application	NOUN
cana-3473	244	9	for	for	ADP
cana-3473	244	10	consumer	consumer	NOUN
cana-3473	244	11	sentiment	sentiment	NOUN
cana-3473	244	12	analysis	analysis	NOUN
cana-3473	244	13	using	use	VERB
cana-3473	244	14	online	online	ADJ
cana-3473	244	15	reviews	review	NOUN
cana-3473	244	16	.	.	PUNCT
cana-3473	245	1	computer	computer	NOUN
cana-3473	245	2	science	science	PROPN
cana-3473	245	3	review	review	PROPN
cana-3473	245	4	,	,	PUNCT
cana-3473	245	5	41	41	NUM
cana-3473	245	6	,	,	PUNCT
cana-3473	245	7	100413	100413	NUM
cana-3473	245	8	.	.	PUNCT
cana-3473	246	1	[	[	X
cana-3473	246	2	21	21	NUM
cana-3473	246	3	]	]	X
cana-3473	246	4	chatterjee	chatterjee	PROPN
cana-3473	246	5	,	,	PUNCT
cana-3473	246	6	i.	i.	PROPN
cana-3473	246	7	(	(	PUNCT
cana-3473	246	8	2021	2021	NUM
cana-3473	246	9	)	)	PUNCT
cana-3473	246	10	.	.	PUNCT
cana-3473	247	1	statistics	statistic	NOUN
cana-3473	247	2	-	-	PUNCT
cana-3473	247	3	based	base	VERB
cana-3473	247	4	anomaly	anomaly	NOUN
cana-3473	247	5	detection	detection	NOUN
cana-3473	247	6	and	and	CCONJ
cana-3473	247	7	correction	correction	NOUN
cana-3473	247	8	method	method	NOUN
cana-3473	247	9	for	for	ADP
cana-3473	247	10	amazon	amazon	NOUN
cana-3473	247	11	customer	customer	NOUN
cana-3473	247	12	reviews	review	NOUN
cana-3473	247	13	(	(	PUNCT
cana-3473	247	14	doctoral	doctoral	ADJ
cana-3473	247	15	dissertation	dissertation	NOUN
cana-3473	247	16	,	,	PUNCT
cana-3473	247	17	new	new	PROPN
cana-3473	247	18	jersey	jersey	PROPN
cana-3473	247	19	institute	institute	PROPN
cana-3473	247	20	of	of	ADP
cana-3473	247	21	technology	technology	NOUN
cana-3473	247	22	)	)	PUNCT
cana-3473	247	23	.	.	PUNCT
cana-3473	248	1	[	[	X
cana-3473	248	2	22	22	NUM
cana-3473	248	3	]	]	X
cana-3473	248	4	birjali	birjali	ADJ
cana-3473	248	5	,	,	PUNCT
cana-3473	248	6	m.	m.	NOUN
cana-3473	248	7	,	,	PUNCT
cana-3473	248	8	kasri	kasri	PROPN
cana-3473	248	9	,	,	PUNCT
cana-3473	248	10	m.	m.	NOUN
cana-3473	248	11	,	,	PUNCT
cana-3473	248	12	&	&	CCONJ
cana-3473	248	13	beni	beni	ADJ
cana-3473	248	14	-	-	ADJ
cana-3473	248	15	hssane	hssane	PROPN
cana-3473	248	16	,	,	PUNCT
cana-3473	248	17	a.	a.	NOUN
cana-3473	248	18	(	(	PUNCT
cana-3473	248	19	2021	2021	NUM
cana-3473	248	20	)	)	PUNCT
cana-3473	248	21	.	.	PUNCT
cana-3473	249	1	a	a	DET
cana-3473	249	2	comprehensive	comprehensive	ADJ
cana-3473	249	3	survey	survey	NOUN
cana-3473	249	4	on	on	ADP
cana-3473	249	5	sentiment	sentiment	NOUN
cana-3473	249	6	analysis	analysis	NOUN
cana-3473	249	7	:	:	PUNCT
cana-3473	249	8	approaches	approach	NOUN
cana-3473	249	9	,	,	PUNCT
cana-3473	249	10	challenges	challenge	NOUN
cana-3473	249	11	and	and	CCONJ
cana-3473	249	12	trends	trend	NOUN
cana-3473	249	13	.	.	PUNCT
cana-3473	250	1	knowledge	knowledge	NOUN
cana-3473	250	2	-	-	PUNCT
cana-3473	250	3	based	base	VERB
cana-3473	250	4	systems	system	NOUN
cana-3473	250	5	,	,	PUNCT
cana-3473	250	6	226	226	NUM
cana-3473	250	7	,	,	PUNCT
cana-3473	250	8	107134	107134	NUM
cana-3473	250	9	.	.	PUNCT
cana-3473	251	1	[	[	X
cana-3473	251	2	23	23	NUM
cana-3473	251	3	]	]	X
cana-3473	251	4	petersen	petersen	PROPN
cana-3473	251	5	,	,	PUNCT
cana-3473	251	6	c.	c.	PROPN
cana-3473	251	7	l.	l.	PROPN
cana-3473	251	8	,	,	PUNCT
cana-3473	251	9	halter	halter	PROPN
cana-3473	251	10	,	,	PUNCT
cana-3473	251	11	r.	r.	PROPN
cana-3473	251	12	,	,	PUNCT
cana-3473	251	13	kotz	kotz	PROPN
cana-3473	251	14	,	,	PUNCT
cana-3473	251	15	d.	d.	PROPN
cana-3473	251	16	,	,	PUNCT
cana-3473	251	17	loeb	loeb	PROPN
cana-3473	251	18	,	,	PUNCT
cana-3473	251	19	l.	l.	PROPN
cana-3473	251	20	,	,	PUNCT
cana-3473	251	21	cook	cook	PROPN
cana-3473	251	22	,	,	PUNCT
cana-3473	251	23	s.	s.	PROPN
cana-3473	251	24	,	,	PUNCT
cana-3473	251	25	pidgeon	pidgeon	PROPN
cana-3473	251	26	,	,	PUNCT
cana-3473	251	27	d.	d.	PROPN
cana-3473	251	28	,	,	PUNCT
cana-3473	251	29	...	...	PUNCT
cana-3473	251	30	&	&	CCONJ
cana-3473	251	31	batsis	batsis	NOUN
cana-3473	251	32	,	,	PUNCT
cana-3473	251	33	j.	j.	PROPN
cana-3473	251	34	a.	a.	PROPN
cana-3473	251	35	(	(	PUNCT
cana-3473	251	36	2020	2020	NUM
cana-3473	251	37	)	)	PUNCT
cana-3473	251	38	.	.	PUNCT
cana-3473	252	1	using	use	VERB
cana-3473	252	2	natural	natural	ADJ
cana-3473	252	3	language	language	NOUN
cana-3473	252	4	processing	processing	NOUN
cana-3473	252	5	and	and	CCONJ
cana-3473	252	6	sentiment	sentiment	NOUN
cana-3473	252	7	analysis	analysis	NOUN
cana-3473	252	8	to	to	PART
cana-3473	252	9	augment	augment	VERB
cana-3473	252	10	traditional	traditional	ADJ
cana-3473	252	11	user	user	NOUN
cana-3473	252	12	-	-	PUNCT
cana-3473	252	13	centered	center	VERB
cana-3473	252	14	design	design	NOUN
cana-3473	252	15	:	:	PUNCT
cana-3473	252	16	development	development	NOUN
cana-3473	252	17	and	and	CCONJ
cana-3473	252	18	usability	usability	NOUN
cana-3473	252	19	study	study	NOUN
cana-3473	252	20	.	.	PUNCT
cana-3473	253	1	jmir	jmir	PROPN
cana-3473	253	2	mhealth	mhealth	PROPN
cana-3473	253	3	and	and	CCONJ
cana-3473	253	4	uhealth	uhealth	NOUN
cana-3473	253	5	,	,	PUNCT
cana-3473	253	6	8(8	8(8	NUM
cana-3473	253	7	)	)	PUNCT
cana-3473	253	8	,	,	PUNCT
cana-3473	253	9	e16862	e16862	NOUN
cana-3473	253	10	.	.	PUNCT
cana-3473	254	1	[	[	X
cana-3473	254	2	24	24	NUM
cana-3473	254	3	]	]	SYM
cana-3473	254	4	kumar	kumar	PROPN
cana-3473	254	5	,	,	PUNCT
cana-3473	254	6	a.	a.	PROPN
cana-3473	254	7	,	,	PUNCT
cana-3473	254	8	&	&	CCONJ
cana-3473	254	9	jaiswal	jaiswal	PROPN
cana-3473	254	10	,	,	PUNCT
cana-3473	254	11	a.	a.	NOUN
cana-3473	254	12	(	(	PUNCT
cana-3473	254	13	2020	2020	NUM
cana-3473	254	14	)	)	PUNCT
cana-3473	254	15	.	.	PUNCT
cana-3473	255	1	systematic	systematic	ADJ
cana-3473	255	2	literature	literature	PROPN
cana-3473	255	3	review	review	PROPN
cana-3473	255	4	of	of	ADP
cana-3473	255	5	sentiment	sentiment	NOUN
cana-3473	255	6	analysis	analysis	NOUN
cana-3473	255	7	on	on	ADP
cana-3473	255	8	twitter	twitter	NOUN
cana-3473	255	9	using	use	VERB
cana-3473	255	10	soft	soft	ADJ
cana-3473	255	11	computing	computing	NOUN
cana-3473	255	12	techniques	technique	NOUN
cana-3473	255	13	.	.	PUNCT
cana-3473	256	1	concurrency	concurrency	NOUN
cana-3473	256	2	and	and	CCONJ
cana-3473	256	3	computation	computation	NOUN
cana-3473	256	4	:	:	PUNCT
cana-3473	256	5	practice	practice	NOUN
cana-3473	256	6	and	and	CCONJ
cana-3473	256	7	experience	experience	NOUN
cana-3473	256	8	,	,	PUNCT
cana-3473	256	9	32(1	32(1	NUM
cana-3473	256	10	)	)	PUNCT
cana-3473	256	11	,	,	PUNCT
cana-3473	256	12	e5107	e5107	PROPN
cana-3473	256	13	.	.	PUNCT
cana-3473	257	1	[	[	X
cana-3473	257	2	25	25	NUM
cana-3473	257	3	]	]	PUNCT
cana-3473	257	4	jain	jain	NOUN
cana-3473	257	5	,	,	PUNCT
cana-3473	257	6	p.	p.	PROPN
cana-3473	257	7	k.	k.	PROPN
cana-3473	257	8	,	,	PUNCT
cana-3473	257	9	pamula	pamula	NOUN
cana-3473	257	10	,	,	PUNCT
cana-3473	257	11	r.	r.	PROPN
cana-3473	257	12	,	,	PUNCT
cana-3473	257	13	&	&	CCONJ
cana-3473	257	14	srivastava	srivastava	PROPN
cana-3473	257	15	,	,	PUNCT
cana-3473	257	16	g.	g.	PROPN
cana-3473	257	17	(	(	PUNCT
cana-3473	257	18	2021	2021	NUM
cana-3473	257	19	)	)	PUNCT
cana-3473	257	20	.	.	PUNCT
cana-3473	258	1	a	a	DET
cana-3473	258	2	systematic	systematic	ADJ
cana-3473	258	3	literature	literature	NOUN
cana-3473	258	4	review	review	NOUN
cana-3473	258	5	on	on	ADP
cana-3473	258	6	machine	machine	NOUN
cana-3473	258	7	learning	learning	NOUN
cana-3473	258	8	applications	application	NOUN
cana-3473	258	9	for	for	ADP
cana-3473	258	10	consumer	consumer	NOUN
cana-3473	258	11	sentiment	sentiment	NOUN
cana-3473	258	12	analysis	analysis	NOUN
cana-3473	258	13	using	use	VERB
cana-3473	258	14	online	online	ADJ
cana-3473	258	15	reviews	review	NOUN
cana-3473	258	16	.	.	PUNCT
cana-3473	259	1	computer	computer	NOUN
cana-3473	259	2	science	science	PROPN
cana-3473	259	3	review	review	PROPN
cana-3473	259	4	,	,	PUNCT
cana-3473	259	5	41	41	NUM
cana-3473	259	6	,	,	PUNCT
cana-3473	259	7	100413	100413	NUM
cana-3473	259	8	.	.	PUNCT
cana-3473	260	1	[	[	X
cana-3473	260	2	26	26	NUM
cana-3473	260	3	]	]	X
cana-3473	260	4	thaler	thaler	NOUN
cana-3473	260	5	,	,	PUNCT
cana-3473	260	6	f.	f.	PROPN
cana-3473	260	7	,	,	PUNCT
cana-3473	260	8	faußer	faußer	PROPN
cana-3473	260	9	,	,	PUNCT
cana-3473	260	10	s.	s.	PROPN
cana-3473	260	11	,	,	PUNCT
cana-3473	260	12	&	&	CCONJ
cana-3473	260	13	gewald	gewald	PROPN
cana-3473	260	14	,	,	PUNCT
cana-3473	260	15	h.	h.	PROPN
cana-3473	260	16	(	(	PUNCT
cana-3473	260	17	2021	2021	NUM
cana-3473	260	18	)	)	PUNCT
cana-3473	260	19	.	.	PUNCT
cana-3473	261	1	using	use	VERB
cana-3473	261	2	nlp	nlp	NOUN
cana-3473	261	3	to	to	PART
cana-3473	261	4	analyze	analyze	VERB
cana-3473	261	5	whether	whether	SCONJ
cana-3473	261	6	customer	customer	NOUN
cana-3473	261	7	statements	statement	NOUN
cana-3473	261	8	comply	comply	ADV
cana-3473	261	9	with	with	ADP
cana-3473	261	10	their	their	PRON
cana-3473	261	11	inner	inner	ADJ
cana-3473	261	12	belief	belief	NOUN
cana-3473	261	13	.	.	PUNCT
cana-3473	262	1	arxiv	arxiv	PROPN
cana-3473	262	2	preprint	preprint	PROPN
cana-3473	262	3	arxiv:2107.11175	arxiv:2107.11175	PROPN
cana-3473	262	4	.	.	PUNCT
cana-3473	263	1	advances	advance	NOUN
cana-3473	263	2	in	in	ADP
cana-3473	263	3	nonlinear	nonlinear	ADJ
cana-3473	263	4	variational	variational	ADJ
cana-3473	263	5	inequalities	inequality	NOUN
cana-3473	263	6	issn	issn	VERB
cana-3473	263	7	:	:	PUNCT
cana-3473	263	8	1092	1092	NUM
cana-3473	263	9	-	-	PUNCT
cana-3473	263	10	910x	910x	NUM
cana-3473	263	11	vol	vol	NOUN
cana-3473	263	12	28	28	NUM
cana-3473	263	13	no	no	NOUN
cana-3473	263	14	.	.	PUNCT
cana-3473	264	1	7s	7	NOUN
cana-3473	264	2	(	(	PUNCT
cana-3473	264	3	2025	2025	NUM
cana-3473	264	4	)	)	PUNCT
cana-3473	264	5	674	674	NUM
cana-3473	264	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3473	264	7	[	[	X
cana-3473	264	8	27	27	NUM
cana-3473	264	9	]	]	X
cana-3473	264	10	shoumy	shoumy	PROPN
cana-3473	264	11	,	,	PUNCT
cana-3473	264	12	n.	n.	PROPN
cana-3473	264	13	j.	j.	PROPN
cana-3473	264	14	,	,	PUNCT
cana-3473	264	15	ang	ang	PROPN
cana-3473	264	16	,	,	PUNCT
cana-3473	264	17	l.	l.	PROPN
cana-3473	264	18	m.	m.	PROPN
cana-3473	264	19	,	,	PUNCT
cana-3473	264	20	seng	seng	PROPN
cana-3473	264	21	,	,	PUNCT
cana-3473	264	22	k.	k.	PROPN
cana-3473	265	1	p.	p.	PROPN
cana-3473	265	2	,	,	PUNCT
cana-3473	265	3	rahaman	rahaman	NOUN
cana-3473	265	4	,	,	PUNCT
cana-3473	265	5	d.	d.	PROPN
cana-3473	265	6	m.	m.	PROPN
cana-3473	265	7	,	,	PUNCT
cana-3473	265	8	&	&	CCONJ
cana-3473	265	9	zia	zia	PROPN
cana-3473	265	10	,	,	PUNCT
cana-3473	265	11	t.	t.	PROPN
cana-3473	265	12	(	(	PUNCT
cana-3473	265	13	2020	2020	NUM
cana-3473	265	14	)	)	PUNCT
cana-3473	265	15	.	.	PUNCT
cana-3473	266	1	multimodal	multimodal	ADJ
cana-3473	266	2	big	big	ADJ
cana-3473	266	3	data	data	NOUN
cana-3473	266	4	affective	affective	NOUN
cana-3473	266	5	analytics	analytic	NOUN
cana-3473	266	6	:	:	PUNCT
cana-3473	266	7	a	a	DET
cana-3473	266	8	comprehensive	comprehensive	ADJ
cana-3473	266	9	survey	survey	NOUN
cana-3473	266	10	using	use	VERB
cana-3473	266	11	text	text	NOUN
cana-3473	266	12	,	,	PUNCT
cana-3473	266	13	audio	audio	NOUN
cana-3473	266	14	,	,	PUNCT
cana-3473	266	15	visual	visual	ADJ
cana-3473	266	16	and	and	CCONJ
cana-3473	266	17	physiological	physiological	ADJ
cana-3473	266	18	signals	signal	NOUN
cana-3473	266	19	.	.	PUNCT
cana-3473	267	1	journal	journal	PROPN
cana-3473	267	2	of	of	ADP
cana-3473	267	3	network	network	NOUN
cana-3473	267	4	and	and	CCONJ
cana-3473	267	5	computer	computer	NOUN
cana-3473	267	6	applications	application	NOUN
cana-3473	267	7	,	,	PUNCT
cana-3473	267	8	149	149	NUM
cana-3473	267	9	,	,	PUNCT
cana-3473	267	10	102447	102447	NUM
cana-3473	267	11	.	.	PUNCT
cana-3473	268	1	[	[	X
cana-3473	268	2	28	28	NUM
cana-3473	268	3	]	]	X
cana-3473	268	4	aljuhani	aljuhani	PROPN
cana-3473	268	5	,	,	PUNCT
cana-3473	268	6	s.a	s.a	PROPN
cana-3473	268	7	.	.	PROPN
cana-3473	268	8	;	;	PUNCT
cana-3473	268	9	alghamdi	alghamdi	NOUN
cana-3473	268	10	,	,	PUNCT
cana-3473	268	11	n.s	n.s	PROPN
cana-3473	268	12	.	.	PROPN
cana-3473	269	1	a	a	DET
cana-3473	269	2	comparison	comparison	NOUN
cana-3473	269	3	of	of	ADP
cana-3473	269	4	sentiment	sentiment	NOUN
cana-3473	269	5	analysis	analysis	NOUN
cana-3473	269	6	methods	method	NOUN
cana-3473	269	7	on	on	ADP
cana-3473	269	8	amazon	amazon	NOUN
cana-3473	269	9	reviews	review	NOUN
cana-3473	269	10	of	of	ADP
cana-3473	269	11	mobile	mobile	ADJ
cana-3473	269	12	phones	phone	NOUN
cana-3473	269	13	.	.	PUNCT
cana-3473	270	1	int	int	NOUN
cana-3473	270	2	.	.	PUNCT
cana-3473	271	1	j.	j.	PROPN
cana-3473	271	2	adv	adv	PROPN
cana-3473	271	3	.	.	PUNCT
cana-3473	272	1	comput	comput	PROPN
cana-3473	272	2	.	.	PUNCT
cana-3473	273	1	sci	sci	PROPN
cana-3473	273	2	.	.	PUNCT
cana-3473	273	3	appl	appl	PROPN
cana-3473	273	4	.	.	PROPN
cana-3473	274	1	2019	2019	NUM
cana-3473	274	2	,	,	PUNCT
cana-3473	274	3	10	10	NUM
cana-3473	274	4	,	,	PUNCT
cana-3473	274	5	608–617	608–617	NUM
cana-3473	274	6	.	.	PUNCT
cana-3473	275	1	[	[	X
cana-3473	275	2	29	29	NUM
cana-3473	275	3	]	]	X
cana-3473	275	4	shoumy	shoumy	PROPN
cana-3473	275	5	,	,	PUNCT
cana-3473	275	6	n.	n.	PROPN
cana-3473	275	7	j.	j.	PROPN
cana-3473	275	8	,	,	PUNCT
cana-3473	275	9	ang	ang	PROPN
cana-3473	275	10	,	,	PUNCT
cana-3473	275	11	l.	l.	PROPN
cana-3473	275	12	m.	m.	PROPN
cana-3473	275	13	,	,	PUNCT
cana-3473	275	14	seng	seng	PROPN
cana-3473	275	15	,	,	PUNCT
cana-3473	275	16	k.	k.	PROPN
cana-3473	275	17	p.	p.	PROPN
cana-3473	275	18	,	,	PUNCT
cana-3473	275	19	rahaman	rahaman	NOUN
cana-3473	275	20	,	,	PUNCT
cana-3473	275	21	d.	d.	PROPN
cana-3473	275	22	m.	m.	PROPN
cana-3473	275	23	,	,	PUNCT
cana-3473	275	24	&	&	CCONJ
cana-3473	275	25	zia	zia	PROPN
cana-3473	275	26	,	,	PUNCT
cana-3473	275	27	t.	t.	PROPN
cana-3473	275	28	(	(	PUNCT
cana-3473	275	29	2020	2020	NUM
cana-3473	275	30	)	)	PUNCT
cana-3473	275	31	.	.	PUNCT
cana-3473	276	1	multimodal	multimodal	ADJ
cana-3473	276	2	big	big	ADJ
cana-3473	276	3	data	data	NOUN
cana-3473	276	4	affective	affective	NOUN
cana-3473	276	5	analytics	analytic	NOUN
cana-3473	276	6	:	:	PUNCT
cana-3473	276	7	a	a	DET
cana-3473	276	8	comprehensive	comprehensive	ADJ
cana-3473	276	9	survey	survey	NOUN
cana-3473	276	10	using	use	VERB
cana-3473	276	11	text	text	NOUN
cana-3473	276	12	,	,	PUNCT
cana-3473	276	13	audio	audio	NOUN
cana-3473	276	14	,	,	PUNCT
cana-3473	276	15	visual	visual	ADJ
cana-3473	276	16	and	and	CCONJ
cana-3473	276	17	physiological	physiological	ADJ
cana-3473	276	18	signals	signal	NOUN
cana-3473	276	19	.	.	PUNCT
cana-3473	277	1	journal	journal	PROPN
cana-3473	277	2	of	of	ADP
cana-3473	277	3	network	network	NOUN
cana-3473	277	4	and	and	CCONJ
cana-3473	277	5	computer	computer	NOUN
cana-3473	277	6	applications	application	NOUN
cana-3473	277	7	,	,	PUNCT
cana-3473	277	8	149	149	NUM
cana-3473	277	9	,	,	PUNCT
cana-3473	277	10	102447	102447	NUM
cana-3473	277	11	.	.	PUNCT
cana-3473	278	1	[	[	X
cana-3473	278	2	30	30	NUM
cana-3473	278	3	]	]	X
cana-3473	278	4	nguyen	nguyen	NOUN
cana-3473	278	5	,	,	PUNCT
cana-3473	278	6	h.	h.	NOUN
cana-3473	278	7	;	;	PUNCT
cana-3473	278	8	veluchamy	veluchamy	NOUN
cana-3473	278	9	,	,	PUNCT
cana-3473	278	10	a.	a.	NOUN
cana-3473	278	11	;	;	PUNCT
cana-3473	278	12	diop	diop	PROPN
cana-3473	278	13	,	,	PUNCT
cana-3473	278	14	m.	m.	NOUN
cana-3473	278	15	;	;	PUNCT
cana-3473	278	16	iqbal	iqbal	PROPN
cana-3473	278	17	,	,	PUNCT
cana-3473	278	18	r.	r.	PROPN
cana-3473	278	19	comparative	comparative	PROPN
cana-3473	278	20	study	study	NOUN
cana-3473	278	21	of	of	ADP
cana-3473	278	22	sentiment	sentiment	NOUN
cana-3473	278	23	analysis	analysis	NOUN
cana-3473	278	24	with	with	ADP
cana-3473	278	25	product	product	NOUN
cana-3473	278	26	reviews	review	NOUN
cana-3473	278	27	using	use	VERB
cana-3473	278	28	machine	machine	NOUN
cana-3473	278	29	learning	learning	NOUN
cana-3473	278	30	and	and	CCONJ
cana-3473	278	31	lexicon	lexicon	NOUN
cana-3473	278	32	-	-	PUNCT
cana-3473	278	33	based	base	VERB
cana-3473	278	34	approaches	approach	NOUN
cana-3473	278	35	.	.	PUNCT
cana-3473	279	1	smu	smu	PROPN
cana-3473	279	2	data	data	PROPN
cana-3473	279	3	sci	sci	PROPN
cana-3473	279	4	.	.	PUNCT
cana-3473	279	5	rev	rev	PROPN
cana-3473	279	6	.	.	PROPN
cana-3473	279	7	2018	2018	NUM
cana-3473	279	8	,	,	PUNCT
cana-3473	279	9	1	1	NUM
cana-3473	279	10	,	,	PUNCT
cana-3473	279	11	7	7	NUM
cana-3473	279	12	.	.	PUNCT
cana-3473	280	1	[	[	X
cana-3473	280	2	31	31	NUM
cana-3473	280	3	]	]	X
cana-3473	280	4	seo	seo	NOUN
cana-3473	280	5	,	,	PUNCT
cana-3473	280	6	s.	s.	PROPN
cana-3473	280	7	,	,	PUNCT
cana-3473	280	8	kim	kim	PROPN
cana-3473	280	9	,	,	PUNCT
cana-3473	280	10	c.	c.	PROPN
cana-3473	280	11	,	,	PUNCT
cana-3473	280	12	kim	kim	PROPN
cana-3473	280	13	,	,	PUNCT
cana-3473	280	14	h.	h.	PROPN
cana-3473	280	15	,	,	PUNCT
cana-3473	280	16	mo	mo	PROPN
cana-3473	280	17	,	,	PUNCT
cana-3473	280	18	k.	k.	PROPN
cana-3473	280	19	,	,	PUNCT
cana-3473	280	20	&	&	CCONJ
cana-3473	280	21	kang	kang	PROPN
cana-3473	280	22	,	,	PUNCT
cana-3473	280	23	p.	p.	NOUN
cana-3473	280	24	(	(	PUNCT
cana-3473	280	25	2020	2020	NUM
cana-3473	280	26	)	)	PUNCT
cana-3473	280	27	.	.	PUNCT
cana-3473	281	1	comparative	comparative	ADJ
cana-3473	281	2	study	study	NOUN
cana-3473	281	3	of	of	ADP
cana-3473	281	4	deep	deep	ADJ
cana-3473	281	5	learning	learning	NOUN
cana-3473	281	6	-	-	PUNCT
cana-3473	281	7	based	base	VERB
cana-3473	281	8	sentiment	sentiment	NOUN
cana-3473	281	9	classification	classification	NOUN
cana-3473	281	10	.	.	PUNCT
cana-3473	282	1	ieee	ieee	NOUN
cana-3473	282	2	access	access	NOUN
cana-3473	282	3	,	,	PUNCT
cana-3473	282	4	8	8	NUM
cana-3473	282	5	,	,	PUNCT
cana-3473	282	6	6861	6861	NUM
cana-3473	282	7	-	-	SYM
cana-3473	282	8	6875	6875	NUM
cana-3473	282	9	.	.	PUNCT