id	sid	tid	token	lemma	pos
cana-3495	1	1	communications	communication	NOUN
cana-3495	1	2	on	on	ADP
cana-3495	1	3	applied	apply	VERB
cana-3495	1	4	nonlinear	nonlinear	ADJ
cana-3495	1	5	analysis	analysis	NOUN
cana-3495	1	6	issn	issn	NOUN
cana-3495	1	7	:	:	PUNCT
cana-3495	1	8	1074	1074	NUM
cana-3495	1	9	-	-	PUNCT
cana-3495	1	10	133x	133x	NUM
cana-3495	1	11	vol	vol	NOUN
cana-3495	1	12	32	32	NUM
cana-3495	1	13	no	no	NOUN
cana-3495	1	14	.	.	PUNCT
cana-3495	2	1	7s	7	NOUN
cana-3495	2	2	(	(	PUNCT
cana-3495	2	3	2025	2025	NUM
cana-3495	2	4	)	)	PUNCT
cana-3495	3	1	908	908	NUM
cana-3495	3	2	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3495	3	3	enhanced	enhance	VERB
cana-3495	3	4	customer	customer	NOUN
cana-3495	3	5	emotions	emotion	NOUN
cana-3495	3	6	classifications	classification	NOUN
cana-3495	3	7	in	in	ADP
cana-3495	3	8	e	e	NOUN
cana-3495	3	9	-	-	NOUN
cana-3495	3	10	commerce	commerce	NOUN
cana-3495	3	11	on	on	ADP
cana-3495	3	12	sentiment	sentiment	NOUN
cana-3495	3	13	analysis	analysis	NOUN
cana-3495	3	14	with	with	ADP
cana-3495	3	15	convolutional	convolutional	ADJ
cana-3495	3	16	neural	neural	ADJ
cana-3495	3	17	network	network	NOUN
cana-3495	3	18	kamalakannan	kamalakannan	NOUN
cana-3495	3	19	.	.	PUNCT
cana-3495	4	1	r1	r1	PROPN
cana-3495	4	2	,	,	PUNCT
cana-3495	4	3	preethi	preethi	ADV
cana-3495	4	4	.	.	PUNCT
cana-3495	5	1	g2	g2	PROPN
cana-3495	5	2	1research	1research	NUM
cana-3495	5	3	scholar	scholar	NOUN
cana-3495	5	4	,	,	PUNCT
cana-3495	5	5	department	department	NOUN
cana-3495	5	6	of	of	ADP
cana-3495	5	7	computer	computer	NOUN
cana-3495	5	8	science	science	NOUN
cana-3495	5	9	,	,	PUNCT
cana-3495	5	10	prist	prist	NOUN
cana-3495	5	11	deemed	deem	VERB
cana-3495	5	12	to	to	PART
cana-3495	5	13	be	be	AUX
cana-3495	5	14	university	university	NOUN
cana-3495	5	15	,	,	PUNCT
cana-3495	5	16	thanjavur	thanjavur	PROPN
cana-3495	5	17	,	,	PUNCT
cana-3495	5	18	india	india	PROPN
cana-3495	5	19	.	.	PUNCT
cana-3495	6	1	kamal112003@yahoo.co.in	kamal112003@yahoo.co.in	PROPN
cana-3495	6	2	2research	2research	NUM
cana-3495	6	3	supervisor	supervisor	NOUN
cana-3495	6	4	,	,	PUNCT
cana-3495	6	5	department	department	NOUN
cana-3495	6	6	of	of	ADP
cana-3495	6	7	computer	computer	NOUN
cana-3495	6	8	science	science	NOUN
cana-3495	6	9	,	,	PUNCT
cana-3495	6	10	prist	prist	NOUN
cana-3495	6	11	deemed	deem	VERB
cana-3495	6	12	to	to	PART
cana-3495	6	13	be	be	AUX
cana-3495	6	14	university	university	NOUN
cana-3495	6	15	,	,	PUNCT
cana-3495	6	16	thanjavur	thanjavur	PROPN
cana-3495	6	17	,	,	PUNCT
cana-3495	6	18	india	india	PROPN
cana-3495	6	19	.	.	PUNCT
cana-3495	7	1	mgpreethi@gmail.com	mgpreethi@gmail.com	PROPN
cana-3495	7	2	article	article	NOUN
cana-3495	7	3	history	history	NOUN
cana-3495	7	4	:	:	PUNCT
cana-3495	7	5	received	receive	VERB
cana-3495	7	6	:	:	PUNCT
cana-3495	7	7	28	28	NUM
cana-3495	7	8	-	-	SYM
cana-3495	7	9	10	10	NUM
cana-3495	7	10	-	-	PUNCT
cana-3495	7	11	2024	2024	NUM
cana-3495	7	12	revised:12	revised:12	NOUN
cana-3495	7	13	-	-	PUNCT
cana-3495	7	14	11	11	NUM
cana-3495	7	15	-	-	PUNCT
cana-3495	7	16	2024	2024	NUM
cana-3495	7	17	accepted:19	accepted:19	VERB
cana-3495	7	18	-	-	PUNCT
cana-3495	7	19	12	12	NUM
cana-3495	7	20	-	-	PUNCT
cana-3495	7	21	2024	2024	NUM
cana-3495	7	22	abstract	abstract	NOUN
cana-3495	7	23	:	:	PUNCT
cana-3495	7	24	in	in	ADP
cana-3495	7	25	the	the	DET
cana-3495	7	26	rapidly	rapidly	ADV
cana-3495	7	27	evolving	evolve	VERB
cana-3495	7	28	e	e	NOUN
cana-3495	7	29	-	-	NOUN
cana-3495	7	30	commerce	commerce	NOUN
cana-3495	7	31	landscape	landscape	NOUN
cana-3495	7	32	,	,	PUNCT
cana-3495	7	33	accurately	accurately	ADV
cana-3495	7	34	interpreting	interpret	VERB
cana-3495	7	35	customer	customer	NOUN
cana-3495	7	36	emotions	emotion	NOUN
cana-3495	7	37	from	from	ADP
cana-3495	7	38	textual	textual	ADJ
cana-3495	7	39	reviews	review	NOUN
cana-3495	7	40	is	be	AUX
cana-3495	7	41	crucial	crucial	ADJ
cana-3495	7	42	for	for	ADP
cana-3495	7	43	enhancing	enhance	VERB
cana-3495	7	44	user	user	NOUN
cana-3495	7	45	experience	experience	NOUN
cana-3495	7	46	and	and	CCONJ
cana-3495	7	47	informing	inform	VERB
cana-3495	7	48	business	business	NOUN
cana-3495	7	49	strategies	strategy	NOUN
cana-3495	7	50	.	.	PUNCT
cana-3495	8	1	traditional	traditional	ADJ
cana-3495	8	2	sentiment	sentiment	NOUN
cana-3495	8	3	analysis	analysis	NOUN
cana-3495	8	4	methods	method	NOUN
cana-3495	8	5	often	often	ADV
cana-3495	8	6	struggle	struggle	VERB
cana-3495	8	7	with	with	ADP
cana-3495	8	8	the	the	DET
cana-3495	8	9	complexity	complexity	NOUN
cana-3495	8	10	and	and	CCONJ
cana-3495	8	11	nuance	nuance	NOUN
cana-3495	8	12	of	of	ADP
cana-3495	8	13	human	human	ADJ
cana-3495	8	14	emotions	emotion	NOUN
cana-3495	8	15	expressed	express	VERB
cana-3495	8	16	in	in	ADP
cana-3495	8	17	text	text	NOUN
cana-3495	8	18	.	.	PUNCT
cana-3495	9	1	this	this	DET
cana-3495	9	2	research	research	NOUN
cana-3495	9	3	introduces	introduce	VERB
cana-3495	9	4	an	an	DET
cana-3495	9	5	advanced	advanced	ADJ
cana-3495	9	6	approach	approach	NOUN
cana-3495	9	7	employing	employ	VERB
cana-3495	9	8	convolutional	convolutional	ADJ
cana-3495	9	9	neural	neural	ADJ
cana-3495	9	10	networks	network	NOUN
cana-3495	9	11	(	(	PUNCT
cana-3495	9	12	cnns	cnns	PROPN
cana-3495	9	13	)	)	PUNCT
cana-3495	9	14	to	to	PART
cana-3495	9	15	improve	improve	VERB
cana-3495	9	16	the	the	DET
cana-3495	9	17	classification	classification	NOUN
cana-3495	9	18	of	of	ADP
cana-3495	9	19	customer	customer	NOUN
cana-3495	9	20	emotions	emotion	NOUN
cana-3495	9	21	in	in	ADP
cana-3495	9	22	e	e	NOUN
cana-3495	9	23	-	-	NOUN
cana-3495	9	24	commerce	commerce	NOUN
cana-3495	9	25	platforms	platform	NOUN
cana-3495	9	26	.	.	PUNCT
cana-3495	10	1	by	by	ADP
cana-3495	10	2	leveraging	leverage	VERB
cana-3495	10	3	cnns	cnn	NOUN
cana-3495	10	4	'	'	PART
cana-3495	10	5	ability	ability	NOUN
cana-3495	10	6	to	to	PART
cana-3495	10	7	capture	capture	VERB
cana-3495	10	8	local	local	ADJ
cana-3495	10	9	features	feature	NOUN
cana-3495	10	10	and	and	CCONJ
cana-3495	10	11	patterns	pattern	NOUN
cana-3495	10	12	within	within	ADP
cana-3495	10	13	textual	textual	ADJ
cana-3495	10	14	data	datum	NOUN
cana-3495	10	15	,	,	PUNCT
cana-3495	10	16	our	our	PRON
cana-3495	10	17	model	model	NOUN
cana-3495	10	18	effectively	effectively	ADV
cana-3495	10	19	distinguishes	distinguish	VERB
cana-3495	10	20	between	between	ADP
cana-3495	10	21	subtle	subtle	ADJ
cana-3495	10	22	emotional	emotional	ADJ
cana-3495	10	23	cues	cue	NOUN
cana-3495	10	24	,	,	PUNCT
cana-3495	10	25	leading	lead	VERB
cana-3495	10	26	to	to	ADP
cana-3495	10	27	more	more	ADV
cana-3495	10	28	precise	precise	ADJ
cana-3495	10	29	sentiment	sentiment	NOUN
cana-3495	10	30	categorization	categorization	NOUN
cana-3495	10	31	.	.	PUNCT
cana-3495	11	1	experimental	experimental	ADJ
cana-3495	11	2	results	result	NOUN
cana-3495	11	3	demonstrate	demonstrate	VERB
cana-3495	11	4	a	a	DET
cana-3495	11	5	significant	significant	ADJ
cana-3495	11	6	improvement	improvement	NOUN
cana-3495	11	7	in	in	ADP
cana-3495	11	8	classification	classification	NOUN
cana-3495	11	9	accuracy	accuracy	NOUN
cana-3495	11	10	over	over	ADP
cana-3495	11	11	conventional	conventional	ADJ
cana-3495	11	12	techniques	technique	NOUN
cana-3495	11	13	,	,	PUNCT
cana-3495	11	14	underscoring	underscore	VERB
cana-3495	11	15	the	the	DET
cana-3495	11	16	potential	potential	NOUN
cana-3495	11	17	of	of	ADP
cana-3495	11	18	deep	deep	ADJ
cana-3495	11	19	learning	learning	NOUN
cana-3495	11	20	models	model	NOUN
cana-3495	11	21	in	in	ADP
cana-3495	11	22	sentiment	sentiment	NOUN
cana-3495	11	23	analysis	analysis	NOUN
cana-3495	11	24	applications	application	NOUN
cana-3495	11	25	within	within	ADP
cana-3495	11	26	the	the	DET
cana-3495	11	27	e	e	NOUN
cana-3495	11	28	-	-	NOUN
cana-3495	11	29	commerce	commerce	NOUN
cana-3495	11	30	sector	sector	NOUN
cana-3495	11	31	.	.	PUNCT
cana-3495	12	1	keywords	keyword	NOUN
cana-3495	12	2	:	:	PUNCT
cana-3495	12	3	sentiment	sentiment	NOUN
cana-3495	12	4	analysis	analysis	NOUN
cana-3495	12	5	,	,	PUNCT
cana-3495	12	6	convolutional	convolutional	ADJ
cana-3495	12	7	neural	neural	ADJ
cana-3495	12	8	networks	network	NOUN
cana-3495	12	9	,	,	PUNCT
cana-3495	12	10	customer	customer	NOUN
cana-3495	12	11	emotions	emotion	NOUN
cana-3495	12	12	,	,	PUNCT
cana-3495	12	13	e	e	NOUN
cana-3495	12	14	-	-	NOUN
cana-3495	12	15	commerce	commerce	NOUN
cana-3495	12	16	,	,	PUNCT
cana-3495	12	17	text	text	NOUN
cana-3495	12	18	classification	classification	NOUN
cana-3495	12	19	,	,	PUNCT
cana-3495	12	20	deep	deep	ADJ
cana-3495	12	21	learning	learning	NOUN
cana-3495	12	22	introduction	introduction	NOUN
cana-3495	12	23	the	the	DET
cana-3495	12	24	advent	advent	NOUN
cana-3495	12	25	of	of	ADP
cana-3495	12	26	e	e	NOUN
cana-3495	12	27	-	-	NOUN
cana-3495	12	28	commerce	commerce	NOUN
cana-3495	12	29	has	have	AUX
cana-3495	12	30	revolutionized	revolutionize	VERB
cana-3495	12	31	the	the	DET
cana-3495	12	32	way	way	NOUN
cana-3495	12	33	consumers	consumer	NOUN
cana-3495	12	34	interact	interact	VERB
cana-3495	12	35	with	with	ADP
cana-3495	12	36	businesses	business	NOUN
cana-3495	12	37	,	,	PUNCT
cana-3495	12	38	providing	provide	VERB
cana-3495	12	39	a	a	DET
cana-3495	12	40	global	global	ADJ
cana-3495	12	41	platform	platform	NOUN
cana-3495	12	42	for	for	ADP
cana-3495	12	43	transactions	transaction	NOUN
cana-3495	12	44	and	and	CCONJ
cana-3495	12	45	communication	communication	NOUN
cana-3495	12	46	.	.	PUNCT
cana-3495	13	1	customer	customer	NOUN
cana-3495	13	2	reviews	review	NOUN
cana-3495	13	3	and	and	CCONJ
cana-3495	13	4	feedback	feedback	NOUN
cana-3495	13	5	play	play	VERB
cana-3495	13	6	a	a	DET
cana-3495	13	7	critical	critical	ADJ
cana-3495	13	8	role	role	NOUN
cana-3495	13	9	in	in	ADP
cana-3495	13	10	shaping	shape	VERB
cana-3495	13	11	the	the	DET
cana-3495	13	12	reputation	reputation	NOUN
cana-3495	13	13	and	and	CCONJ
cana-3495	13	14	success	success	NOUN
cana-3495	13	15	of	of	ADP
cana-3495	13	16	e	e	NOUN
cana-3495	13	17	-	-	NOUN
cana-3495	13	18	commerce	commerce	NOUN
cana-3495	13	19	platforms	platform	NOUN
cana-3495	13	20	.	.	PUNCT
cana-3495	14	1	these	these	DET
cana-3495	14	2	reviews	review	NOUN
cana-3495	14	3	often	often	ADV
cana-3495	14	4	reflect	reflect	VERB
cana-3495	14	5	the	the	DET
cana-3495	14	6	emotional	emotional	ADJ
cana-3495	14	7	responses	response	NOUN
cana-3495	14	8	of	of	ADP
cana-3495	14	9	customers	customer	NOUN
cana-3495	14	10	to	to	ADP
cana-3495	14	11	products	product	NOUN
cana-3495	14	12	and	and	CCONJ
cana-3495	14	13	services	service	NOUN
cana-3495	14	14	,	,	PUNCT
cana-3495	14	15	making	make	VERB
cana-3495	14	16	the	the	DET
cana-3495	14	17	analysis	analysis	NOUN
cana-3495	14	18	of	of	ADP
cana-3495	14	19	customer	customer	NOUN
cana-3495	14	20	sentiments	sentiment	NOUN
cana-3495	14	21	and	and	CCONJ
cana-3495	14	22	emotions	emotion	NOUN
cana-3495	14	23	an	an	DET
cana-3495	14	24	essential	essential	ADJ
cana-3495	14	25	component	component	NOUN
cana-3495	14	26	of	of	ADP
cana-3495	14	27	e	e	NOUN
cana-3495	14	28	-	-	NOUN
cana-3495	14	29	commerce	commerce	NOUN
cana-3495	14	30	strategies	strategy	NOUN
cana-3495	14	31	.	.	PUNCT
cana-3495	15	1	however	however	ADV
cana-3495	15	2	,	,	PUNCT
cana-3495	15	3	understanding	understand	VERB
cana-3495	15	4	these	these	DET
cana-3495	15	5	emotions	emotion	NOUN
cana-3495	15	6	from	from	ADP
cana-3495	15	7	textual	textual	ADJ
cana-3495	15	8	data	datum	NOUN
cana-3495	15	9	presents	present	VERB
cana-3495	15	10	significant	significant	ADJ
cana-3495	15	11	challenges	challenge	NOUN
cana-3495	15	12	due	due	ADP
cana-3495	15	13	to	to	ADP
cana-3495	15	14	the	the	DET
cana-3495	15	15	complexity	complexity	NOUN
cana-3495	15	16	,	,	PUNCT
cana-3495	15	17	diversity	diversity	NOUN
cana-3495	15	18	,	,	PUNCT
cana-3495	15	19	and	and	CCONJ
cana-3495	15	20	subjectivity	subjectivity	NOUN
cana-3495	15	21	inherent	inherent	ADJ
cana-3495	15	22	in	in	ADP
cana-3495	15	23	human	human	ADJ
cana-3495	15	24	language	language	NOUN
cana-3495	15	25	.	.	PUNCT
cana-3495	16	1	sentiment	sentiment	NOUN
cana-3495	16	2	analysis	analysis	NOUN
cana-3495	16	3	,	,	PUNCT
cana-3495	16	4	the	the	DET
cana-3495	16	5	computational	computational	ADJ
cana-3495	16	6	study	study	NOUN
cana-3495	16	7	of	of	ADP
cana-3495	16	8	opinions	opinion	NOUN
cana-3495	16	9	,	,	PUNCT
cana-3495	16	10	sentiments	sentiment	NOUN
cana-3495	16	11	,	,	PUNCT
cana-3495	16	12	and	and	CCONJ
cana-3495	16	13	emotions	emotion	NOUN
cana-3495	16	14	expressed	express	VERB
cana-3495	16	15	in	in	ADP
cana-3495	16	16	text	text	NOUN
cana-3495	16	17	,	,	PUNCT
cana-3495	16	18	has	have	AUX
cana-3495	16	19	emerged	emerge	VERB
cana-3495	16	20	as	as	ADP
cana-3495	16	21	a	a	DET
cana-3495	16	22	vital	vital	ADJ
cana-3495	16	23	field	field	NOUN
cana-3495	16	24	in	in	ADP
cana-3495	16	25	natural	natural	ADJ
cana-3495	16	26	language	language	NOUN
cana-3495	16	27	processing	processing	NOUN
cana-3495	16	28	(	(	PUNCT
cana-3495	16	29	nlp	nlp	NOUN
cana-3495	16	30	)	)	PUNCT
cana-3495	16	31	.	.	PUNCT
cana-3495	17	1	traditional	traditional	ADJ
cana-3495	17	2	approaches	approach	NOUN
cana-3495	17	3	to	to	PART
cana-3495	17	4	sentiment	sentiment	NOUN
cana-3495	17	5	analysis	analysis	NOUN
cana-3495	17	6	relied	rely	VERB
cana-3495	17	7	on	on	ADP
cana-3495	17	8	rule	rule	NOUN
cana-3495	17	9	-	-	PUNCT
cana-3495	17	10	based	base	VERB
cana-3495	17	11	systems	system	NOUN
cana-3495	17	12	and	and	CCONJ
cana-3495	17	13	statistical	statistical	ADJ
cana-3495	17	14	methods	method	NOUN
cana-3495	17	15	,	,	PUNCT
cana-3495	17	16	which	which	PRON
cana-3495	17	17	often	often	ADV
cana-3495	17	18	struggled	struggle	VERB
cana-3495	17	19	to	to	PART
cana-3495	17	20	capture	capture	VERB
cana-3495	17	21	the	the	DET
cana-3495	17	22	subtleties	subtlety	NOUN
cana-3495	17	23	of	of	ADP
cana-3495	17	24	human	human	ADJ
cana-3495	17	25	emotion	emotion	NOUN
cana-3495	17	26	.	.	PUNCT
cana-3495	18	1	the	the	DET
cana-3495	18	2	evolution	evolution	NOUN
cana-3495	18	3	of	of	ADP
cana-3495	18	4	machine	machine	NOUN
cana-3495	18	5	learning	learning	NOUN
cana-3495	18	6	and	and	CCONJ
cana-3495	18	7	deep	deep	ADJ
cana-3495	18	8	learning	learning	NOUN
cana-3495	18	9	technologies	technology	NOUN
cana-3495	18	10	has	have	AUX
cana-3495	18	11	significantly	significantly	ADV
cana-3495	18	12	improved	improve	VERB
cana-3495	18	13	the	the	DET
cana-3495	18	14	ability	ability	NOUN
cana-3495	18	15	to	to	PART
cana-3495	18	16	classify	classify	VERB
cana-3495	18	17	sentiments	sentiment	NOUN
cana-3495	18	18	with	with	ADP
cana-3495	18	19	higher	high	ADJ
cana-3495	18	20	accuracy	accuracy	NOUN
cana-3495	18	21	.	.	PUNCT
cana-3495	19	1	among	among	ADP
cana-3495	19	2	these	these	DET
cana-3495	19	3	technologies	technology	NOUN
cana-3495	19	4	,	,	PUNCT
cana-3495	19	5	convolutional	convolutional	ADJ
cana-3495	19	6	neural	neural	ADJ
cana-3495	19	7	networks	network	NOUN
cana-3495	19	8	(	(	PUNCT
cana-3495	19	9	cnns	cnns	PROPN
cana-3495	19	10	)	)	PUNCT
cana-3495	19	11	have	have	AUX
cana-3495	19	12	shown	show	VERB
cana-3495	19	13	exceptional	exceptional	ADJ
cana-3495	19	14	promise	promise	NOUN
cana-3495	19	15	due	due	ADP
cana-3495	19	16	to	to	ADP
cana-3495	19	17	their	their	PRON
cana-3495	19	18	ability	ability	NOUN
cana-3495	19	19	to	to	PART
cana-3495	19	20	identify	identify	VERB
cana-3495	19	21	and	and	CCONJ
cana-3495	19	22	learn	learn	VERB
cana-3495	19	23	complex	complex	ADJ
cana-3495	19	24	patterns	pattern	NOUN
cana-3495	19	25	within	within	ADP
cana-3495	19	26	textual	textual	ADJ
cana-3495	19	27	data	datum	NOUN
cana-3495	19	28	.	.	PUNCT
cana-3495	20	1	this	this	DET
cana-3495	20	2	paper	paper	NOUN
cana-3495	20	3	focuses	focus	VERB
cana-3495	20	4	on	on	ADP
cana-3495	20	5	enhancing	enhance	VERB
cana-3495	20	6	the	the	DET
cana-3495	20	7	classification	classification	NOUN
cana-3495	20	8	of	of	ADP
cana-3495	20	9	customer	customer	NOUN
cana-3495	20	10	emotions	emotion	NOUN
cana-3495	20	11	in	in	ADP
cana-3495	20	12	e	e	NOUN
cana-3495	20	13	-	-	NOUN
cana-3495	20	14	commerce	commerce	NOUN
cana-3495	20	15	using	use	VERB
cana-3495	20	16	cnns	cnns	PROPN
cana-3495	20	17	.	.	PUNCT
cana-3495	21	1	cnns	cnns	PROPN
cana-3495	21	2	are	be	AUX
cana-3495	21	3	well	well	ADV
cana-3495	21	4	-	-	PUNCT
cana-3495	21	5	suited	suit	VERB
cana-3495	21	6	for	for	ADP
cana-3495	21	7	this	this	DET
cana-3495	21	8	task	task	NOUN
cana-3495	21	9	because	because	SCONJ
cana-3495	21	10	they	they	PRON
cana-3495	21	11	can	can	AUX
cana-3495	21	12	capture	capture	VERB
cana-3495	21	13	local	local	ADJ
cana-3495	21	14	dependencies	dependency	NOUN
cana-3495	21	15	and	and	CCONJ
cana-3495	21	16	hierarchical	hierarchical	ADJ
cana-3495	21	17	features	feature	NOUN
cana-3495	21	18	within	within	ADP
cana-3495	21	19	textual	textual	ADJ
cana-3495	21	20	input	input	NOUN
cana-3495	21	21	.	.	PUNCT
cana-3495	22	1	by	by	ADP
cana-3495	22	2	leveraging	leverage	VERB
cana-3495	22	3	cnns	cnn	NOUN
cana-3495	22	4	,	,	PUNCT
cana-3495	22	5	this	this	DET
cana-3495	22	6	study	study	NOUN
cana-3495	22	7	aims	aim	VERB
cana-3495	22	8	to	to	PART
cana-3495	22	9	improve	improve	VERB
cana-3495	22	10	the	the	DET
cana-3495	22	11	accuracy	accuracy	NOUN
cana-3495	22	12	and	and	CCONJ
cana-3495	22	13	granularity	granularity	NOUN
cana-3495	22	14	of	of	ADP
cana-3495	22	15	emotion	emotion	NOUN
cana-3495	22	16	classification	classification	NOUN
cana-3495	22	17	,	,	PUNCT
cana-3495	22	18	moving	move	VERB
cana-3495	22	19	beyond	beyond	ADP
cana-3495	22	20	binary	binary	ADJ
cana-3495	22	21	sentiment	sentiment	NOUN
cana-3495	22	22	analysis	analysis	NOUN
cana-3495	22	23	(	(	PUNCT
cana-3495	22	24	positive	positive	ADJ
cana-3495	22	25	and	and	CCONJ
cana-3495	22	26	negative	negative	ADJ
cana-3495	22	27	)	)	PUNCT
cana-3495	22	28	mailto:kamal112003@yahoo.co.in	mailto:kamal112003@yahoo.co.in	PROPN
cana-3495	22	29	mailto:mgpreethi@gmail.com	mailto:mgpreethi@gmail.com	VERB
cana-3495	22	30	communications	communication	NOUN
cana-3495	22	31	on	on	ADP
cana-3495	22	32	applied	apply	VERB
cana-3495	22	33	nonlinear	nonlinear	ADJ
cana-3495	22	34	analysis	analysis	NOUN
cana-3495	22	35	issn	issn	NOUN
cana-3495	22	36	:	:	PUNCT
cana-3495	22	37	1074	1074	NUM
cana-3495	22	38	-	-	PUNCT
cana-3495	22	39	133x	133x	NUM
cana-3495	22	40	vol	vol	NOUN
cana-3495	22	41	32	32	NUM
cana-3495	22	42	no	no	NOUN
cana-3495	22	43	.	.	PUNCT
cana-3495	23	1	7s	7	NOUN
cana-3495	23	2	(	(	PUNCT
cana-3495	23	3	2025	2025	NUM
cana-3495	23	4	)	)	PUNCT
cana-3495	23	5	909	909	NUM
cana-3495	23	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3495	23	7	to	to	PART
cana-3495	23	8	include	include	VERB
cana-3495	23	9	a	a	DET
cana-3495	23	10	broader	broad	ADJ
cana-3495	23	11	range	range	NOUN
cana-3495	23	12	of	of	ADP
cana-3495	23	13	emotions	emotion	NOUN
cana-3495	23	14	such	such	ADJ
cana-3495	23	15	as	as	ADP
cana-3495	23	16	happiness	happiness	NOUN
cana-3495	23	17	,	,	PUNCT
cana-3495	23	18	anger	anger	NOUN
cana-3495	23	19	,	,	PUNCT
cana-3495	23	20	surprise	surprise	NOUN
cana-3495	23	21	,	,	PUNCT
cana-3495	23	22	and	and	CCONJ
cana-3495	23	23	disappointment	disappointment	NOUN
cana-3495	23	24	.	.	PUNCT
cana-3495	24	1	the	the	DET
cana-3495	24	2	importance	importance	NOUN
cana-3495	24	3	of	of	ADP
cana-3495	24	4	this	this	DET
cana-3495	24	5	research	research	NOUN
cana-3495	24	6	lies	lie	VERB
cana-3495	24	7	in	in	ADP
cana-3495	24	8	its	its	PRON
cana-3495	24	9	ability	ability	NOUN
cana-3495	24	10	to	to	PART
cana-3495	24	11	provide	provide	VERB
cana-3495	24	12	actionable	actionable	ADJ
cana-3495	24	13	insights	insight	NOUN
cana-3495	24	14	for	for	ADP
cana-3495	24	15	e	e	NOUN
cana-3495	24	16	-	-	NOUN
cana-3495	24	17	commerce	commerce	NOUN
cana-3495	24	18	platforms	platform	NOUN
cana-3495	24	19	.	.	PUNCT
cana-3495	25	1	enhanced	enhance	VERB
cana-3495	25	2	emotion	emotion	NOUN
cana-3495	25	3	classification	classification	NOUN
cana-3495	25	4	can	can	AUX
cana-3495	25	5	help	help	VERB
cana-3495	25	6	businesses	business	NOUN
cana-3495	25	7	better	well	ADV
cana-3495	25	8	understand	understand	VERB
cana-3495	25	9	customer	customer	NOUN
cana-3495	25	10	experiences	experience	NOUN
cana-3495	25	11	,	,	PUNCT
cana-3495	25	12	tailor	tailor	NOUN
cana-3495	25	13	marketing	marketing	NOUN
cana-3495	25	14	strategies	strategy	NOUN
cana-3495	25	15	,	,	PUNCT
cana-3495	25	16	and	and	CCONJ
cana-3495	25	17	improve	improve	VERB
cana-3495	25	18	customer	customer	NOUN
cana-3495	25	19	satisfaction	satisfaction	NOUN
cana-3495	25	20	.	.	PUNCT
cana-3495	26	1	furthermore	furthermore	ADV
cana-3495	26	2	,	,	PUNCT
cana-3495	26	3	the	the	DET
cana-3495	26	4	integration	integration	NOUN
cana-3495	26	5	of	of	ADP
cana-3495	26	6	advanced	advanced	ADJ
cana-3495	26	7	deep	deep	ADJ
cana-3495	26	8	learning	learning	NOUN
cana-3495	26	9	models	model	NOUN
cana-3495	26	10	with	with	ADP
cana-3495	26	11	sentiment	sentiment	NOUN
cana-3495	26	12	analysis	analysis	NOUN
cana-3495	26	13	aligns	align	VERB
cana-3495	26	14	with	with	ADP
cana-3495	26	15	the	the	DET
cana-3495	26	16	growing	grow	VERB
cana-3495	26	17	trend	trend	NOUN
cana-3495	26	18	of	of	ADP
cana-3495	26	19	employing	employ	VERB
cana-3495	26	20	artificial	artificial	ADJ
cana-3495	26	21	intelligence	intelligence	NOUN
cana-3495	26	22	(	(	PUNCT
cana-3495	26	23	ai	ai	NOUN
cana-3495	26	24	)	)	PUNCT
cana-3495	26	25	in	in	ADP
cana-3495	26	26	business	business	NOUN
cana-3495	26	27	decision	decision	NOUN
cana-3495	26	28	-	-	PUNCT
cana-3495	26	29	making	making	NOUN
cana-3495	26	30	.	.	PUNCT
cana-3495	27	1	the	the	DET
cana-3495	27	2	residue	residue	NOUN
cana-3495	27	3	of	of	ADP
cana-3495	27	4	this	this	DET
cana-3495	27	5	paper	paper	NOUN
cana-3495	27	6	is	be	AUX
cana-3495	27	7	organized	organize	VERB
cana-3495	27	8	as	as	SCONJ
cana-3495	27	9	follows	follow	VERB
cana-3495	27	10	.	.	PUNCT
cana-3495	28	1	the	the	DET
cana-3495	28	2	literature	literature	PROPN
cana-3495	28	3	review	review	NOUN
cana-3495	28	4	explores	explore	VERB
cana-3495	28	5	existing	exist	VERB
cana-3495	28	6	research	research	NOUN
cana-3495	28	7	on	on	ADP
cana-3495	28	8	sentiment	sentiment	NOUN
cana-3495	28	9	analysis	analysis	NOUN
cana-3495	28	10	,	,	PUNCT
cana-3495	28	11	with	with	ADP
cana-3495	28	12	a	a	DET
cana-3495	28	13	focus	focus	NOUN
cana-3495	28	14	on	on	ADP
cana-3495	28	15	cnn	cnn	PROPN
cana-3495	28	16	-	-	PUNCT
cana-3495	28	17	based	base	VERB
cana-3495	28	18	approaches	approach	NOUN
cana-3495	28	19	.	.	PUNCT
cana-3495	29	1	the	the	DET
cana-3495	29	2	methodology	methodology	NOUN
cana-3495	29	3	section	section	NOUN
cana-3495	29	4	details	detail	VERB
cana-3495	29	5	the	the	DET
cana-3495	29	6	design	design	NOUN
cana-3495	29	7	and	and	CCONJ
cana-3495	29	8	implementation	implementation	NOUN
cana-3495	29	9	of	of	ADP
cana-3495	29	10	the	the	DET
cana-3495	29	11	proposed	propose	VERB
cana-3495	29	12	model	model	NOUN
cana-3495	29	13	,	,	PUNCT
cana-3495	29	14	including	include	VERB
cana-3495	29	15	data	datum	NOUN
cana-3495	29	16	preprocessing	preprocessing	NOUN
cana-3495	29	17	,	,	PUNCT
cana-3495	29	18	feature	feature	NOUN
cana-3495	29	19	extraction	extraction	NOUN
cana-3495	29	20	,	,	PUNCT
cana-3495	29	21	and	and	CCONJ
cana-3495	29	22	training	training	NOUN
cana-3495	29	23	.	.	PUNCT
cana-3495	30	1	experimental	experimental	ADJ
cana-3495	30	2	results	result	NOUN
cana-3495	30	3	are	be	AUX
cana-3495	30	4	presented	present	VERB
cana-3495	30	5	to	to	PART
cana-3495	30	6	demonstrate	demonstrate	VERB
cana-3495	30	7	the	the	DET
cana-3495	30	8	efficacy	efficacy	NOUN
cana-3495	30	9	of	of	ADP
cana-3495	30	10	the	the	DET
cana-3495	30	11	model	model	NOUN
cana-3495	30	12	,	,	PUNCT
cana-3495	30	13	followed	follow	VERB
cana-3495	30	14	by	by	ADP
cana-3495	30	15	a	a	DET
cana-3495	30	16	discussion	discussion	NOUN
cana-3495	30	17	on	on	ADP
cana-3495	30	18	its	its	PRON
cana-3495	30	19	implications	implication	NOUN
cana-3495	30	20	,	,	PUNCT
cana-3495	30	21	limitations	limitation	NOUN
cana-3495	30	22	,	,	PUNCT
cana-3495	30	23	and	and	CCONJ
cana-3495	30	24	future	future	ADJ
cana-3495	30	25	directions	direction	NOUN
cana-3495	30	26	.	.	PUNCT
cana-3495	31	1	finally	finally	ADV
cana-3495	31	2	,	,	PUNCT
cana-3495	31	3	the	the	DET
cana-3495	31	4	conclusion	conclusion	NOUN
cana-3495	31	5	summarizes	summarize	VERB
cana-3495	31	6	the	the	DET
cana-3495	31	7	findings	finding	NOUN
cana-3495	31	8	and	and	CCONJ
cana-3495	31	9	highlights	highlight	NOUN
cana-3495	31	10	the	the	DET
cana-3495	31	11	contributions	contribution	NOUN
cana-3495	31	12	of	of	ADP
cana-3495	31	13	this	this	DET
cana-3495	31	14	study	study	NOUN
cana-3495	31	15	.	.	PUNCT
cana-3495	32	1	literature	literature	NOUN
cana-3495	32	2	review	review	VERB
cana-3495	32	3	the	the	DET
cana-3495	32	4	study	study	NOUN
cana-3495	32	5	of	of	ADP
cana-3495	32	6	sentiment	sentiment	NOUN
cana-3495	32	7	analysis	analysis	NOUN
cana-3495	32	8	has	have	AUX
cana-3495	32	9	grown	grow	VERB
cana-3495	32	10	significantly	significantly	ADV
cana-3495	32	11	over	over	ADP
cana-3495	32	12	the	the	DET
cana-3495	32	13	last	last	ADJ
cana-3495	32	14	decade	decade	NOUN
cana-3495	32	15	,	,	PUNCT
cana-3495	32	16	particularly	particularly	ADV
cana-3495	32	17	in	in	ADP
cana-3495	32	18	the	the	DET
cana-3495	32	19	domain	domain	NOUN
cana-3495	32	20	of	of	ADP
cana-3495	32	21	e	e	NOUN
cana-3495	32	22	-	-	NOUN
cana-3495	32	23	commerce	commerce	NOUN
cana-3495	32	24	,	,	PUNCT
cana-3495	32	25	where	where	SCONJ
cana-3495	32	26	understanding	understand	VERB
cana-3495	32	27	customer	customer	NOUN
cana-3495	32	28	emotions	emotion	NOUN
cana-3495	32	29	can	can	AUX
cana-3495	32	30	provide	provide	VERB
cana-3495	32	31	crucial	crucial	ADJ
cana-3495	32	32	insights	insight	NOUN
cana-3495	32	33	for	for	ADP
cana-3495	32	34	businesses	business	NOUN
cana-3495	32	35	.	.	PUNCT
cana-3495	33	1	the	the	DET
cana-3495	33	2	use	use	NOUN
cana-3495	33	3	of	of	ADP
cana-3495	33	4	deep	deep	ADJ
cana-3495	33	5	learning	learning	NOUN
cana-3495	33	6	models	model	NOUN
cana-3495	33	7	,	,	PUNCT
cana-3495	33	8	particularly	particularly	ADV
cana-3495	33	9	convolutional	convolutional	ADJ
cana-3495	33	10	neural	neural	ADJ
cana-3495	33	11	networks	network	NOUN
cana-3495	33	12	(	(	PUNCT
cana-3495	33	13	cnns	cnns	PROPN
cana-3495	33	14	)	)	PUNCT
cana-3495	33	15	,	,	PUNCT
cana-3495	33	16	has	have	AUX
cana-3495	33	17	emerged	emerge	VERB
cana-3495	33	18	as	as	ADP
cana-3495	33	19	a	a	DET
cana-3495	33	20	popular	popular	ADJ
cana-3495	33	21	approach	approach	NOUN
cana-3495	33	22	for	for	ADP
cana-3495	33	23	improving	improve	VERB
cana-3495	33	24	the	the	DET
cana-3495	33	25	classification	classification	NOUN
cana-3495	33	26	of	of	ADP
cana-3495	33	27	sentiments	sentiment	NOUN
cana-3495	33	28	and	and	CCONJ
cana-3495	33	29	emotions	emotion	NOUN
cana-3495	33	30	from	from	ADP
cana-3495	33	31	textual	textual	ADJ
cana-3495	33	32	data	datum	NOUN
cana-3495	33	33	.	.	PUNCT
cana-3495	34	1	this	this	DET
cana-3495	34	2	section	section	NOUN
cana-3495	34	3	reviews	review	VERB
cana-3495	34	4	recent	recent	ADJ
cana-3495	34	5	contributions	contribution	NOUN
cana-3495	34	6	to	to	ADP
cana-3495	34	7	the	the	DET
cana-3495	34	8	field	field	NOUN
cana-3495	34	9	and	and	CCONJ
cana-3495	34	10	contextualizes	contextualize	VERB
cana-3495	34	11	the	the	DET
cana-3495	34	12	significance	significance	NOUN
cana-3495	34	13	of	of	ADP
cana-3495	34	14	cnn	cnn	PROPN
cana-3495	34	15	-	-	PUNCT
cana-3495	34	16	based	base	VERB
cana-3495	34	17	methods	method	NOUN
cana-3495	34	18	for	for	ADP
cana-3495	34	19	enhanced	enhanced	ADJ
cana-3495	34	20	customer	customer	NOUN
cana-3495	34	21	emotion	emotion	NOUN
cana-3495	34	22	classification	classification	NOUN
cana-3495	34	23	.	.	PUNCT
cana-3495	35	1	1	1	X
cana-3495	35	2	.	.	X
cana-3495	35	3	sentiment	sentiment	NOUN
cana-3495	35	4	analysis	analysis	NOUN
cana-3495	35	5	in	in	ADP
cana-3495	35	6	e	e	NOUN
cana-3495	35	7	-	-	NOUN
cana-3495	35	8	commerce	commerce	ADJ
cana-3495	35	9	e	e	PROPN
cana-3495	35	10	-	-	NOUN
cana-3495	35	11	commerce	commerce	NOUN
cana-3495	35	12	platforms	platform	NOUN
cana-3495	35	13	generate	generate	VERB
cana-3495	35	14	vast	vast	ADJ
cana-3495	35	15	amounts	amount	NOUN
cana-3495	35	16	of	of	ADP
cana-3495	35	17	textual	textual	ADJ
cana-3495	35	18	data	datum	NOUN
cana-3495	35	19	in	in	ADP
cana-3495	35	20	the	the	DET
cana-3495	35	21	form	form	NOUN
cana-3495	35	22	of	of	ADP
cana-3495	35	23	customer	customer	NOUN
cana-3495	35	24	reviews	review	NOUN
cana-3495	35	25	,	,	PUNCT
cana-3495	35	26	feedback	feedback	NOUN
cana-3495	35	27	,	,	PUNCT
cana-3495	35	28	and	and	CCONJ
cana-3495	35	29	ratings	rating	NOUN
cana-3495	35	30	.	.	PUNCT
cana-3495	36	1	early	early	ADJ
cana-3495	36	2	sentiment	sentiment	NOUN
cana-3495	36	3	analysis	analysis	NOUN
cana-3495	36	4	techniques	technique	NOUN
cana-3495	36	5	relied	rely	VERB
cana-3495	36	6	on	on	ADP
cana-3495	36	7	traditional	traditional	ADJ
cana-3495	36	8	machine	machine	NOUN
cana-3495	36	9	learning	learning	NOUN
cana-3495	36	10	algorithms	algorithm	NOUN
cana-3495	36	11	,	,	PUNCT
cana-3495	36	12	such	such	ADJ
cana-3495	36	13	as	as	ADP
cana-3495	36	14	support	support	NOUN
cana-3495	36	15	vector	vector	NOUN
cana-3495	36	16	machines	machine	NOUN
cana-3495	36	17	(	(	PUNCT
cana-3495	36	18	svm	svm	PROPN
cana-3495	36	19	)	)	PUNCT
cana-3495	36	20	and	and	CCONJ
cana-3495	36	21	naïve	naïve	ADJ
cana-3495	36	22	bayes	bayes	NOUN
cana-3495	36	23	,	,	PUNCT
cana-3495	36	24	combined	combine	VERB
cana-3495	36	25	with	with	ADP
cana-3495	36	26	hand	hand	NOUN
cana-3495	36	27	-	-	PUNCT
cana-3495	36	28	crafted	craft	VERB
cana-3495	36	29	features	feature	NOUN
cana-3495	36	30	.	.	PUNCT
cana-3495	37	1	however	however	ADV
cana-3495	37	2	,	,	PUNCT
cana-3495	37	3	these	these	DET
cana-3495	37	4	methods	method	NOUN
cana-3495	37	5	were	be	AUX
cana-3495	37	6	limited	limit	VERB
cana-3495	37	7	in	in	ADP
cana-3495	37	8	their	their	PRON
cana-3495	37	9	ability	ability	NOUN
cana-3495	37	10	to	to	PART
cana-3495	37	11	capture	capture	VERB
cana-3495	37	12	the	the	DET
cana-3495	37	13	contextual	contextual	ADJ
cana-3495	37	14	and	and	CCONJ
cana-3495	37	15	semantic	semantic	ADJ
cana-3495	37	16	nuances	nuance	NOUN
cana-3495	37	17	of	of	ADP
cana-3495	37	18	human	human	ADJ
cana-3495	37	19	emotions	emotion	NOUN
cana-3495	37	20	(	(	PUNCT
cana-3495	37	21	kumar	kumar	PROPN
cana-3495	37	22	and	and	CCONJ
cana-3495	37	23	sharma	sharma	PROPN
cana-3495	37	24	,	,	PUNCT
cana-3495	37	25	2021	2021	NUM
cana-3495	37	26	)	)	PUNCT
cana-3495	38	1	[	[	X
cana-3495	38	2	9	9	NUM
cana-3495	38	3	]	]	PUNCT
cana-3495	38	4	.	.	PUNCT
cana-3495	39	1	recent	recent	ADJ
cana-3495	39	2	advancements	advancement	NOUN
cana-3495	39	3	in	in	ADP
cana-3495	39	4	deep	deep	ADJ
cana-3495	39	5	learning	learning	NOUN
cana-3495	39	6	have	have	AUX
cana-3495	39	7	addressed	address	VERB
cana-3495	39	8	these	these	DET
cana-3495	39	9	limitations	limitation	NOUN
cana-3495	39	10	,	,	PUNCT
cana-3495	39	11	enabling	enable	VERB
cana-3495	39	12	more	more	ADV
cana-3495	39	13	sophisticated	sophisticated	ADJ
cana-3495	39	14	analysis	analysis	NOUN
cana-3495	39	15	of	of	ADP
cana-3495	39	16	textual	textual	ADJ
cana-3495	39	17	data	datum	NOUN
cana-3495	39	18	.	.	PUNCT
cana-3495	40	1	2	2	X
cana-3495	40	2	.	.	X
cana-3495	40	3	deep	deep	ADJ
cana-3495	40	4	learning	learning	NOUN
cana-3495	40	5	for	for	ADP
cana-3495	40	6	sentiment	sentiment	NOUN
cana-3495	40	7	analysis	analysis	NOUN
cana-3495	40	8	deep	deep	ADJ
cana-3495	40	9	learning	learning	NOUN
cana-3495	40	10	techniques	technique	NOUN
cana-3495	40	11	have	have	AUX
cana-3495	40	12	significantly	significantly	ADV
cana-3495	40	13	improved	improve	VERB
cana-3495	40	14	sentiment	sentiment	NOUN
cana-3495	40	15	analysis	analysis	NOUN
cana-3495	40	16	by	by	ADP
cana-3495	40	17	automatically	automatically	ADV
cana-3495	40	18	extracting	extract	VERB
cana-3495	40	19	features	feature	NOUN
cana-3495	40	20	from	from	ADP
cana-3495	40	21	data	datum	NOUN
cana-3495	40	22	without	without	ADP
cana-3495	40	23	requiring	require	VERB
cana-3495	40	24	manual	manual	ADJ
cana-3495	40	25	intervention	intervention	NOUN
cana-3495	40	26	.	.	PUNCT
cana-3495	41	1	studies	study	NOUN
cana-3495	41	2	by	by	ADP
cana-3495	41	3	zhang	zhang	PROPN
cana-3495	41	4	et	et	PROPN
cana-3495	41	5	al	al	PROPN
cana-3495	41	6	.	.	PROPN
cana-3495	42	1	(	(	PUNCT
cana-3495	42	2	2018	2018	NUM
cana-3495	42	3	)	)	PUNCT
cana-3495	43	1	[	[	X
cana-3495	43	2	8	8	NUM
cana-3495	43	3	]	]	PUNCT
cana-3495	43	4	and	and	CCONJ
cana-3495	43	5	chen	chen	PROPN
cana-3495	43	6	and	and	CCONJ
cana-3495	43	7	sun	sun	PROPN
cana-3495	43	8	(	(	PUNCT
cana-3495	43	9	2020	2020	NUM
cana-3495	43	10	)	)	PUNCT
cana-3495	44	1	[	[	X
cana-3495	44	2	14	14	NUM
cana-3495	44	3	]	]	PUNCT
cana-3495	44	4	provide	provide	VERB
cana-3495	44	5	comprehensive	comprehensive	ADJ
cana-3495	44	6	surveys	survey	NOUN
cana-3495	44	7	of	of	ADP
cana-3495	44	8	deep	deep	ADJ
cana-3495	44	9	learning	learning	NOUN
cana-3495	44	10	approaches	approach	NOUN
cana-3495	44	11	for	for	ADP
cana-3495	44	12	sentiment	sentiment	NOUN
cana-3495	44	13	analysis	analysis	NOUN
cana-3495	44	14	,	,	PUNCT
cana-3495	44	15	highlighting	highlight	VERB
cana-3495	44	16	the	the	DET
cana-3495	44	17	advantages	advantage	NOUN
cana-3495	44	18	of	of	ADP
cana-3495	44	19	architectures	architecture	NOUN
cana-3495	44	20	such	such	ADJ
cana-3495	44	21	as	as	ADP
cana-3495	44	22	recurrent	recurrent	ADJ
cana-3495	44	23	neural	neural	ADJ
cana-3495	44	24	networks	network	NOUN
cana-3495	44	25	(	(	PUNCT
cana-3495	44	26	rnns	rnns	PROPN
cana-3495	44	27	)	)	PUNCT
cana-3495	44	28	,	,	PUNCT
cana-3495	44	29	long	long	ADJ
cana-3495	44	30	short	short	ADJ
cana-3495	44	31	-	-	PUNCT
cana-3495	44	32	term	term	NOUN
cana-3495	44	33	memory	memory	NOUN
cana-3495	44	34	(	(	PUNCT
cana-3495	44	35	lstm	lstm	NOUN
cana-3495	44	36	)	)	PUNCT
cana-3495	44	37	networks	network	NOUN
cana-3495	44	38	,	,	PUNCT
cana-3495	44	39	and	and	CCONJ
cana-3495	44	40	cnns	cnn	NOUN
cana-3495	44	41	.	.	PUNCT
cana-3495	45	1	while	while	SCONJ
cana-3495	45	2	rnns	rnn	NOUN
cana-3495	45	3	and	and	CCONJ
cana-3495	45	4	lstms	lstms	NOUN
cana-3495	45	5	excel	excel	VERB
cana-3495	45	6	in	in	ADP
cana-3495	45	7	capturing	capture	VERB
cana-3495	45	8	sequential	sequential	ADJ
cana-3495	45	9	dependencies	dependency	NOUN
cana-3495	45	10	,	,	PUNCT
cana-3495	45	11	cnns	cnn	NOUN
cana-3495	45	12	have	have	AUX
cana-3495	45	13	demonstrated	demonstrate	VERB
cana-3495	45	14	superior	superior	ADJ
cana-3495	45	15	performance	performance	NOUN
cana-3495	45	16	in	in	ADP
cana-3495	45	17	capturing	capture	VERB
cana-3495	45	18	local	local	ADJ
cana-3495	45	19	patterns	pattern	NOUN
cana-3495	45	20	and	and	CCONJ
cana-3495	45	21	features	feature	NOUN
cana-3495	45	22	within	within	ADP
cana-3495	45	23	text	text	NOUN
cana-3495	45	24	data	datum	NOUN
cana-3495	45	25	,	,	PUNCT
cana-3495	45	26	making	make	VERB
cana-3495	45	27	them	they	PRON
cana-3495	45	28	particularly	particularly	ADV
cana-3495	45	29	well	well	ADV
cana-3495	45	30	-	-	PUNCT
cana-3495	45	31	suited	suit	VERB
cana-3495	45	32	for	for	ADP
cana-3495	45	33	emotion	emotion	NOUN
cana-3495	45	34	classification	classification	NOUN
cana-3495	45	35	tasks	task	NOUN
cana-3495	45	36	.	.	PUNCT
cana-3495	46	1	3	3	X
cana-3495	46	2	.	.	X
cana-3495	46	3	convolutional	convolutional	ADJ
cana-3495	46	4	neural	neural	ADJ
cana-3495	46	5	networks	network	NOUN
cana-3495	46	6	in	in	ADP
cana-3495	46	7	sentiment	sentiment	NOUN
cana-3495	46	8	analysis	analysis	NOUN
cana-3495	46	9	cnns	cnn	NOUN
cana-3495	46	10	have	have	AUX
cana-3495	46	11	been	be	AUX
cana-3495	46	12	widely	widely	ADV
cana-3495	46	13	adopted	adopt	VERB
cana-3495	46	14	for	for	ADP
cana-3495	46	15	text	text	NOUN
cana-3495	46	16	classification	classification	NOUN
cana-3495	46	17	due	due	ADP
cana-3495	46	18	to	to	ADP
cana-3495	46	19	their	their	PRON
cana-3495	46	20	ability	ability	NOUN
cana-3495	46	21	to	to	PART
cana-3495	46	22	detect	detect	VERB
cana-3495	46	23	spatial	spatial	ADJ
cana-3495	46	24	hierarchies	hierarchy	NOUN
cana-3495	46	25	and	and	CCONJ
cana-3495	46	26	patterns	pattern	NOUN
cana-3495	46	27	in	in	ADP
cana-3495	46	28	data	data	PROPN
cana-3495	46	29	.	.	PUNCT
cana-3495	47	1	salinca	salinca	PROPN
cana-3495	47	2	(	(	PUNCT
cana-3495	47	3	2017	2017	NUM
cana-3495	47	4	)	)	PUNCT
cana-3495	48	1	[	[	X
cana-3495	48	2	1	1	X
cana-3495	48	3	]	]	PUNCT
cana-3495	48	4	demonstrated	demonstrate	VERB
cana-3495	48	5	the	the	DET
cana-3495	48	6	efficacy	efficacy	NOUN
cana-3495	48	7	of	of	ADP
cana-3495	48	8	cnns	cnn	NOUN
cana-3495	48	9	in	in	ADP
cana-3495	48	10	sentiment	sentiment	NOUN
cana-3495	48	11	classification	classification	NOUN
cana-3495	48	12	on	on	ADP
cana-3495	48	13	business	business	NOUN
cana-3495	48	14	reviews	review	NOUN
cana-3495	48	15	,	,	PUNCT
cana-3495	48	16	highlighting	highlight	VERB
cana-3495	48	17	their	their	PRON
cana-3495	48	18	ability	ability	NOUN
cana-3495	48	19	to	to	PART
cana-3495	48	20	outperform	outperform	VERB
cana-3495	48	21	traditional	traditional	ADJ
cana-3495	48	22	machine	machine	NOUN
cana-3495	48	23	learning	learning	NOUN
cana-3495	48	24	models	model	NOUN
cana-3495	48	25	.	.	PUNCT
cana-3495	49	1	similarly	similarly	ADV
cana-3495	49	2	,	,	PUNCT
cana-3495	49	3	minaee	minaee	PROPN
cana-3495	49	4	et	et	PROPN
cana-3495	49	5	al	al	PROPN
cana-3495	49	6	.	.	PROPN
cana-3495	50	1	(	(	PUNCT
cana-3495	50	2	2019	2019	NUM
cana-3495	50	3	)	)	PUNCT
cana-3495	51	1	[	[	X
cana-3495	51	2	2	2	X
cana-3495	51	3	]	]	PUNCT
cana-3495	51	4	combined	combine	VERB
cana-3495	51	5	cnns	cnn	NOUN
cana-3495	51	6	with	with	ADP
cana-3495	51	7	bi	bi	ADJ
cana-3495	51	8	-	-	ADJ
cana-3495	51	9	lstm	lstm	ADJ
cana-3495	51	10	models	model	NOUN
cana-3495	51	11	to	to	PART
cana-3495	51	12	develop	develop	VERB
cana-3495	51	13	deep	deep	ADJ
cana-3495	51	14	-	-	PUNCT
cana-3495	51	15	sentiment	sentiment	NOUN
cana-3495	51	16	,	,	PUNCT
cana-3495	51	17	communications	communication	NOUN
cana-3495	51	18	on	on	ADP
cana-3495	51	19	applied	apply	VERB
cana-3495	51	20	nonlinear	nonlinear	ADJ
cana-3495	51	21	analysis	analysis	NOUN
cana-3495	51	22	issn	issn	NOUN
cana-3495	51	23	:	:	PUNCT
cana-3495	51	24	1074	1074	NUM
cana-3495	51	25	-	-	PUNCT
cana-3495	51	26	133x	133x	NUM
cana-3495	51	27	vol	vol	NOUN
cana-3495	51	28	32	32	NUM
cana-3495	51	29	no	no	NOUN
cana-3495	51	30	.	.	PUNCT
cana-3495	52	1	7s	7	NOUN
cana-3495	52	2	(	(	PUNCT
cana-3495	52	3	2025	2025	NUM
cana-3495	52	4	)	)	PUNCT
cana-3495	52	5	910	910	NUM
cana-3495	52	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3495	52	7	an	an	DET
cana-3495	52	8	ensemble	ensemble	ADJ
cana-3495	52	9	approach	approach	NOUN
cana-3495	52	10	that	that	PRON
cana-3495	52	11	achieved	achieve	VERB
cana-3495	52	12	state	state	NOUN
cana-3495	52	13	-	-	PUNCT
cana-3495	52	14	of	of	ADP
cana-3495	52	15	-	-	PUNCT
cana-3495	52	16	the	the	DET
cana-3495	52	17	-	-	PUNCT
cana-3495	52	18	art	art	NOUN
cana-3495	52	19	results	result	NOUN
cana-3495	52	20	on	on	ADP
cana-3495	52	21	benchmark	benchmark	ADJ
cana-3495	52	22	datasets	dataset	NOUN
cana-3495	52	23	.	.	PUNCT
cana-3495	53	1	xu	xu	PROPN
cana-3495	53	2	et	et	PROPN
cana-3495	54	1	al	al	PROPN
cana-3495	54	2	.	.	PROPN
cana-3495	55	1	(	(	PUNCT
cana-3495	55	2	2014	2014	NUM
cana-3495	55	3	)	)	PUNCT
cana-3495	56	1	[	[	X
cana-3495	56	2	5	5	NUM
cana-3495	56	3	]	]	PUNCT
cana-3495	56	4	explored	explore	VERB
cana-3495	56	5	the	the	DET
cana-3495	56	6	application	application	NOUN
cana-3495	56	7	of	of	ADP
cana-3495	56	8	cnns	cnn	NOUN
cana-3495	56	9	for	for	ADP
cana-3495	56	10	visual	visual	ADJ
cana-3495	56	11	sentiment	sentiment	NOUN
cana-3495	56	12	prediction	prediction	NOUN
cana-3495	56	13	and	and	CCONJ
cana-3495	56	14	emphasized	emphasize	VERB
cana-3495	56	15	the	the	DET
cana-3495	56	16	transferability	transferability	NOUN
cana-3495	56	17	of	of	ADP
cana-3495	56	18	cnn	cnn	PROPN
cana-3495	56	19	architectures	architecture	NOUN
cana-3495	56	20	to	to	ADP
cana-3495	56	21	textual	textual	ADJ
cana-3495	56	22	sentiment	sentiment	NOUN
cana-3495	56	23	analysis	analysis	NOUN
cana-3495	56	24	.	.	PUNCT
cana-3495	57	1	mangalam	mangalam	PROPN
cana-3495	57	2	(	(	PUNCT
cana-3495	57	3	2024	2024	NUM
cana-3495	57	4	)	)	PUNCT
cana-3495	58	1	[	[	X
cana-3495	58	2	6	6	NUM
cana-3495	58	3	]	]	PUNCT
cana-3495	58	4	proposed	propose	VERB
cana-3495	58	5	a	a	DET
cana-3495	58	6	hybrid	hybrid	ADJ
cana-3495	58	7	approach	approach	NOUN
cana-3495	58	8	that	that	PRON
cana-3495	58	9	integrates	integrate	NOUN
cana-3495	58	10	cnns	cnn	NOUN
cana-3495	58	11	with	with	ADP
cana-3495	58	12	bert	bert	PROPN
cana-3495	58	13	,	,	PUNCT
cana-3495	58	14	leveraging	leverage	VERB
cana-3495	58	15	the	the	DET
cana-3495	58	16	contextual	contextual	ADJ
cana-3495	58	17	embeddings	embedding	NOUN
cana-3495	58	18	provided	provide	VERB
cana-3495	58	19	by	by	ADP
cana-3495	58	20	bert	bert	PROPN
cana-3495	58	21	and	and	CCONJ
cana-3495	58	22	the	the	DET
cana-3495	58	23	feature	feature	NOUN
cana-3495	58	24	extraction	extraction	NOUN
cana-3495	58	25	capabilities	capability	NOUN
cana-3495	58	26	of	of	ADP
cana-3495	58	27	cnns	cnn	NOUN
cana-3495	58	28	to	to	PART
cana-3495	58	29	achieve	achieve	VERB
cana-3495	58	30	higher	high	ADJ
cana-3495	58	31	accuracy	accuracy	NOUN
cana-3495	58	32	in	in	ADP
cana-3495	58	33	sentiment	sentiment	NOUN
cana-3495	58	34	classification	classification	NOUN
cana-3495	58	35	.	.	PUNCT
cana-3495	59	1	4	4	X
cana-3495	59	2	.	.	X
cana-3495	59	3	advances	advance	NOUN
cana-3495	59	4	in	in	ADP
cana-3495	59	5	emotion	emotion	NOUN
cana-3495	59	6	classification	classification	NOUN
cana-3495	59	7	emotion	emotion	NOUN
cana-3495	59	8	classification	classification	NOUN
cana-3495	59	9	,	,	PUNCT
cana-3495	59	10	a	a	DET
cana-3495	59	11	more	more	ADV
cana-3495	59	12	granular	granular	ADJ
cana-3495	59	13	form	form	NOUN
cana-3495	59	14	of	of	ADP
cana-3495	59	15	sentiment	sentiment	NOUN
cana-3495	59	16	analysis	analysis	NOUN
cana-3495	59	17	,	,	PUNCT
cana-3495	59	18	aims	aim	VERB
cana-3495	59	19	to	to	PART
cana-3495	59	20	identify	identify	VERB
cana-3495	59	21	specific	specific	ADJ
cana-3495	59	22	emotional	emotional	ADJ
cana-3495	59	23	states	state	NOUN
cana-3495	59	24	,	,	PUNCT
cana-3495	59	25	such	such	ADJ
cana-3495	59	26	as	as	ADP
cana-3495	59	27	happiness	happiness	NOUN
cana-3495	59	28	,	,	PUNCT
cana-3495	59	29	sadness	sadness	NOUN
cana-3495	59	30	,	,	PUNCT
cana-3495	59	31	anger	anger	NOUN
cana-3495	59	32	,	,	PUNCT
cana-3495	59	33	and	and	CCONJ
cana-3495	59	34	surprise	surprise	NOUN
cana-3495	59	35	.	.	PUNCT
cana-3495	60	1	studies	study	NOUN
cana-3495	60	2	by	by	ADP
cana-3495	60	3	wang	wang	PROPN
cana-3495	60	4	and	and	CCONJ
cana-3495	60	5	tong	tong	PROPN
cana-3495	60	6	(	(	PUNCT
cana-3495	60	7	2021	2021	NUM
cana-3495	60	8	)	)	PUNCT
cana-3495	61	1	[	[	X
cana-3495	61	2	4	4	NUM
cana-3495	61	3	]	]	X
cana-3495	61	4	utilized	utilize	VERB
cana-3495	61	5	transformer	transformer	NOUN
cana-3495	61	6	-	-	PUNCT
cana-3495	61	7	based	base	VERB
cana-3495	61	8	models	model	NOUN
cana-3495	61	9	for	for	ADP
cana-3495	61	10	emotional	emotional	ADJ
cana-3495	61	11	classification	classification	NOUN
cana-3495	61	12	in	in	ADP
cana-3495	61	13	e	e	NOUN
cana-3495	61	14	-	-	NOUN
cana-3495	61	15	commerce	commerce	NOUN
cana-3495	61	16	text	text	NOUN
cana-3495	61	17	,	,	PUNCT
cana-3495	61	18	demonstrating	demonstrate	VERB
cana-3495	61	19	improved	improved	ADJ
cana-3495	61	20	accuracy	accuracy	NOUN
cana-3495	61	21	through	through	ADP
cana-3495	61	22	attention	attention	NOUN
cana-3495	61	23	mechanisms	mechanism	NOUN
cana-3495	61	24	.	.	PUNCT
cana-3495	62	1	shrestha	shrestha	PROPN
cana-3495	62	2	and	and	CCONJ
cana-3495	62	3	nasoz	nasoz	NOUN
cana-3495	62	4	(	(	PUNCT
cana-3495	62	5	2019	2019	NUM
cana-3495	62	6	)	)	PUNCT
cana-3495	63	1	[	[	X
cana-3495	63	2	3	3	NUM
cana-3495	63	3	]	]	PUNCT
cana-3495	63	4	applied	apply	VERB
cana-3495	63	5	deep	deep	ADJ
cana-3495	63	6	learning	learning	NOUN
cana-3495	63	7	techniques	technique	NOUN
cana-3495	63	8	to	to	PART
cana-3495	63	9	analyze	analyze	VERB
cana-3495	63	10	amazon	amazon	NOUN
cana-3495	63	11	reviews	review	NOUN
cana-3495	63	12	,	,	PUNCT
cana-3495	63	13	achieving	achieve	VERB
cana-3495	63	14	high	high	ADJ
cana-3495	63	15	precision	precision	NOUN
cana-3495	63	16	in	in	ADP
cana-3495	63	17	distinguishing	distinguish	VERB
cana-3495	63	18	between	between	ADP
cana-3495	63	19	subtle	subtle	ADJ
cana-3495	63	20	emotional	emotional	ADJ
cana-3495	63	21	cues	cue	NOUN
cana-3495	63	22	.	.	PUNCT
cana-3495	64	1	gaur	gaur	NOUN
cana-3495	64	2	and	and	CCONJ
cana-3495	64	3	sharma	sharma	PROPN
cana-3495	64	4	(	(	PUNCT
cana-3495	64	5	2021	2021	NUM
cana-3495	64	6	)	)	PUNCT
cana-3495	65	1	[	[	X
cana-3495	65	2	7	7	X
cana-3495	65	3	]	]	PUNCT
cana-3495	65	4	emphasized	emphasize	VERB
cana-3495	65	5	the	the	DET
cana-3495	65	6	importance	importance	NOUN
cana-3495	65	7	of	of	ADP
cana-3495	65	8	incorporating	incorporate	VERB
cana-3495	65	9	domainspecific	domainspecific	ADJ
cana-3495	65	10	knowledge	knowledge	NOUN
cana-3495	65	11	into	into	ADP
cana-3495	65	12	sentiment	sentiment	NOUN
cana-3495	65	13	analysis	analysis	NOUN
cana-3495	65	14	models	model	NOUN
cana-3495	65	15	.	.	PUNCT
cana-3495	66	1	their	their	PRON
cana-3495	66	2	study	study	NOUN
cana-3495	66	3	on	on	ADP
cana-3495	66	4	e	e	NOUN
cana-3495	66	5	-	-	NOUN
cana-3495	66	6	commerce	commerce	NOUN
cana-3495	66	7	product	product	NOUN
cana-3495	66	8	reviews	review	NOUN
cana-3495	66	9	demonstrated	demonstrate	VERB
cana-3495	66	10	that	that	SCONJ
cana-3495	66	11	cnns	cnn	NOUN
cana-3495	66	12	,	,	PUNCT
cana-3495	66	13	when	when	SCONJ
cana-3495	66	14	fine	fine	ADV
cana-3495	66	15	-	-	PUNCT
cana-3495	66	16	tuned	tune	VERB
cana-3495	66	17	for	for	ADP
cana-3495	66	18	specific	specific	ADJ
cana-3495	66	19	domains	domain	NOUN
cana-3495	66	20	,	,	PUNCT
cana-3495	66	21	outperform	outperform	ADJ
cana-3495	66	22	general	general	ADJ
cana-3495	66	23	-	-	PUNCT
cana-3495	66	24	purpose	purpose	NOUN
cana-3495	66	25	models	model	NOUN
cana-3495	66	26	in	in	ADP
cana-3495	66	27	emotion	emotion	NOUN
cana-3495	66	28	classification	classification	NOUN
cana-3495	66	29	tasks	task	NOUN
cana-3495	66	30	.	.	PUNCT
cana-3495	67	1	yadav	yadav	PROPN
cana-3495	67	2	and	and	CCONJ
cana-3495	67	3	ranjan	ranjan	PROPN
cana-3495	67	4	(	(	PUNCT
cana-3495	67	5	2019	2019	NUM
cana-3495	67	6	)	)	PUNCT
cana-3495	68	1	[	[	X
cana-3495	68	2	10	10	NUM
cana-3495	68	3	]	]	PUNCT
cana-3495	68	4	conducted	conduct	VERB
cana-3495	68	5	a	a	DET
cana-3495	68	6	comprehensive	comprehensive	ADJ
cana-3495	68	7	survey	survey	NOUN
cana-3495	68	8	on	on	ADP
cana-3495	68	9	sentiment	sentiment	NOUN
cana-3495	68	10	analysis	analysis	NOUN
cana-3495	68	11	for	for	ADP
cana-3495	68	12	e	e	NOUN
cana-3495	68	13	-	-	NOUN
cana-3495	68	14	commerce	commerce	NOUN
cana-3495	68	15	reviews	review	NOUN
cana-3495	68	16	,	,	PUNCT
cana-3495	68	17	identifying	identify	VERB
cana-3495	68	18	cnns	cnn	NOUN
cana-3495	68	19	as	as	ADP
cana-3495	68	20	a	a	DET
cana-3495	68	21	key	key	ADJ
cana-3495	68	22	driver	driver	NOUN
cana-3495	68	23	of	of	ADP
cana-3495	68	24	recent	recent	ADJ
cana-3495	68	25	advancements	advancement	NOUN
cana-3495	68	26	in	in	ADP
cana-3495	68	27	the	the	DET
cana-3495	68	28	field	field	NOUN
cana-3495	68	29	.	.	PUNCT
cana-3495	69	1	5	5	X
cana-3495	69	2	.	.	PUNCT
cana-3495	69	3	hybrid	hybrid	ADJ
cana-3495	69	4	models	model	NOUN
cana-3495	69	5	and	and	CCONJ
cana-3495	69	6	future	future	ADJ
cana-3495	69	7	directions	direction	NOUN
cana-3495	69	8	hybrid	hybrid	NOUN
cana-3495	69	9	models	model	NOUN
cana-3495	69	10	that	that	PRON
cana-3495	69	11	combine	combine	VERB
cana-3495	69	12	cnns	cnn	NOUN
cana-3495	69	13	with	with	ADP
cana-3495	69	14	other	other	ADJ
cana-3495	69	15	architectures	architecture	NOUN
cana-3495	69	16	,	,	PUNCT
cana-3495	69	17	such	such	ADJ
cana-3495	69	18	as	as	ADP
cana-3495	69	19	transformers	transformer	NOUN
cana-3495	69	20	and	and	CCONJ
cana-3495	69	21	recurrent	recurrent	ADJ
cana-3495	69	22	networks	network	NOUN
cana-3495	69	23	,	,	PUNCT
cana-3495	69	24	represent	represent	VERB
cana-3495	69	25	a	a	DET
cana-3495	69	26	promising	promising	ADJ
cana-3495	69	27	direction	direction	NOUN
cana-3495	69	28	for	for	ADP
cana-3495	69	29	emotion	emotion	NOUN
cana-3495	69	30	classification	classification	NOUN
cana-3495	69	31	.	.	PUNCT
cana-3495	70	1	devlin	devlin	PROPN
cana-3495	70	2	et	et	PROPN
cana-3495	70	3	al	al	PROPN
cana-3495	70	4	.	.	PROPN
cana-3495	71	1	(	(	PUNCT
cana-3495	71	2	2019	2019	NUM
cana-3495	71	3	)	)	PUNCT
cana-3495	72	1	[	[	X
cana-3495	72	2	13	13	NUM
cana-3495	72	3	]	]	PUNCT
cana-3495	72	4	introduced	introduce	VERB
cana-3495	72	5	bert	bert	PROPN
cana-3495	72	6	,	,	PUNCT
cana-3495	72	7	a	a	DET
cana-3495	72	8	transformer	transformer	NOUN
cana-3495	72	9	-	-	PUNCT
cana-3495	72	10	based	base	VERB
cana-3495	72	11	model	model	NOUN
cana-3495	72	12	that	that	PRON
cana-3495	72	13	has	have	AUX
cana-3495	72	14	become	become	VERB
cana-3495	72	15	a	a	DET
cana-3495	72	16	cornerstone	cornerstone	NOUN
cana-3495	72	17	for	for	ADP
cana-3495	72	18	natural	natural	ADJ
cana-3495	72	19	language	language	NOUN
cana-3495	72	20	understanding	understanding	NOUN
cana-3495	72	21	tasks	task	NOUN
cana-3495	72	22	.	.	PUNCT
cana-3495	73	1	by	by	ADP
cana-3495	73	2	integrating	integrate	VERB
cana-3495	73	3	bert	bert	PROPN
cana-3495	73	4	with	with	ADP
cana-3495	73	5	cnns	cnn	NOUN
cana-3495	73	6	,	,	PUNCT
cana-3495	73	7	researchers	researcher	NOUN
cana-3495	73	8	have	have	AUX
cana-3495	73	9	achieved	achieve	VERB
cana-3495	73	10	significant	significant	ADJ
cana-3495	73	11	improvements	improvement	NOUN
cana-3495	73	12	in	in	ADP
cana-3495	73	13	sentiment	sentiment	NOUN
cana-3495	73	14	analysis	analysis	NOUN
cana-3495	73	15	tasks	task	NOUN
cana-3495	73	16	,	,	PUNCT
cana-3495	73	17	as	as	SCONJ
cana-3495	73	18	evidenced	evidence	VERB
cana-3495	73	19	by	by	ADP
cana-3495	73	20	studies	study	NOUN
cana-3495	73	21	like	like	ADP
cana-3495	73	22	those	those	PRON
cana-3495	73	23	of	of	ADP
cana-3495	73	24	mangalam	mangalam	PROPN
cana-3495	73	25	(	(	PUNCT
cana-3495	73	26	2024	2024	NUM
cana-3495	73	27	)	)	PUNCT
cana-3495	74	1	[	[	X
cana-3495	74	2	6	6	NUM
cana-3495	74	3	]	]	PUNCT
cana-3495	74	4	and	and	CCONJ
cana-3495	74	5	alhazmi	alhazmi	PROPN
cana-3495	74	6	and	and	CCONJ
cana-3495	74	7	alzahrani	alzahrani	NOUN
cana-3495	74	8	(	(	PUNCT
cana-3495	74	9	2022	2022	NUM
cana-3495	74	10	)	)	PUNCT
cana-3495	75	1	[	[	X
cana-3495	75	2	15	15	NUM
cana-3495	75	3	]	]	PUNCT
cana-3495	75	4	.	.	PUNCT
cana-3495	76	1	recent	recent	ADJ
cana-3495	76	2	works	work	NOUN
cana-3495	76	3	also	also	ADV
cana-3495	76	4	explore	explore	VERB
cana-3495	76	5	the	the	DET
cana-3495	76	6	use	use	NOUN
cana-3495	76	7	of	of	ADP
cana-3495	76	8	multimodal	multimodal	NOUN
cana-3495	76	9	approaches	approach	NOUN
cana-3495	76	10	,	,	PUNCT
cana-3495	76	11	incorporating	incorporate	VERB
cana-3495	76	12	textual	textual	ADJ
cana-3495	76	13	,	,	PUNCT
cana-3495	76	14	visual	visual	ADJ
cana-3495	76	15	,	,	PUNCT
cana-3495	76	16	and	and	CCONJ
cana-3495	76	17	auditory	auditory	ADJ
cana-3495	76	18	data	datum	NOUN
cana-3495	76	19	for	for	ADP
cana-3495	76	20	a	a	DET
cana-3495	76	21	comprehensive	comprehensive	ADJ
cana-3495	76	22	understanding	understanding	NOUN
cana-3495	76	23	of	of	ADP
cana-3495	76	24	customer	customer	NOUN
cana-3495	76	25	emotions	emotion	NOUN
cana-3495	76	26	.	.	PUNCT
cana-3495	77	1	arora	arora	PROPN
cana-3495	77	2	and	and	CCONJ
cana-3495	77	3	bhattacharyya	bhattacharyya	ADJ
cana-3495	77	4	(	(	PUNCT
cana-3495	77	5	2020	2020	NUM
cana-3495	77	6	)	)	PUNCT
cana-3495	78	1	[	[	X
cana-3495	78	2	12	12	NUM
cana-3495	78	3	]	]	PUNCT
cana-3495	78	4	reviewed	review	VERB
cana-3495	78	5	trends	trend	NOUN
cana-3495	78	6	in	in	ADP
cana-3495	78	7	sentiment	sentiment	NOUN
cana-3495	78	8	analysis	analysis	NOUN
cana-3495	78	9	across	across	ADP
cana-3495	78	10	social	social	ADJ
cana-3495	78	11	media	medium	NOUN
cana-3495	78	12	and	and	CCONJ
cana-3495	78	13	e	e	NOUN
cana-3495	78	14	-	-	NOUN
cana-3495	78	15	commerce	commerce	NOUN
cana-3495	78	16	platforms	platform	NOUN
cana-3495	78	17	,	,	PUNCT
cana-3495	78	18	identifying	identify	VERB
cana-3495	78	19	multimodal	multimodal	ADJ
cana-3495	78	20	sentiment	sentiment	NOUN
cana-3495	78	21	analysis	analysis	NOUN
cana-3495	78	22	as	as	ADP
cana-3495	78	23	an	an	DET
cana-3495	78	24	emerging	emerge	VERB
cana-3495	78	25	area	area	NOUN
cana-3495	78	26	of	of	ADP
cana-3495	78	27	interest	interest	NOUN
cana-3495	78	28	.	.	PUNCT
cana-3495	79	1	despite	despite	SCONJ
cana-3495	79	2	the	the	DET
cana-3495	79	3	progress	progress	NOUN
cana-3495	79	4	made	make	VERB
cana-3495	79	5	,	,	PUNCT
cana-3495	79	6	several	several	ADJ
cana-3495	79	7	challenges	challenge	NOUN
cana-3495	79	8	remain	remain	VERB
cana-3495	79	9	in	in	ADP
cana-3495	79	10	the	the	DET
cana-3495	79	11	domain	domain	NOUN
cana-3495	79	12	of	of	ADP
cana-3495	79	13	sentiment	sentiment	NOUN
cana-3495	79	14	and	and	CCONJ
cana-3495	79	15	emotion	emotion	NOUN
cana-3495	79	16	analysis	analysis	NOUN
cana-3495	79	17	.	.	PUNCT
cana-3495	80	1	these	these	PRON
cana-3495	80	2	include	include	VERB
cana-3495	80	3	handling	handle	VERB
cana-3495	80	4	imbalanced	imbalanced	ADJ
cana-3495	80	5	datasets	dataset	NOUN
cana-3495	80	6	,	,	PUNCT
cana-3495	80	7	addressing	address	VERB
cana-3495	80	8	the	the	DET
cana-3495	80	9	subjectivity	subjectivity	NOUN
cana-3495	80	10	of	of	ADP
cana-3495	80	11	emotions	emotion	NOUN
cana-3495	80	12	,	,	PUNCT
cana-3495	80	13	and	and	CCONJ
cana-3495	80	14	improving	improve	VERB
cana-3495	80	15	the	the	DET
cana-3495	80	16	interpretability	interpretability	NOUN
cana-3495	80	17	of	of	ADP
cana-3495	80	18	deep	deep	ADJ
cana-3495	80	19	learning	learning	NOUN
cana-3495	80	20	models	model	NOUN
cana-3495	80	21	.	.	PUNCT
cana-3495	81	1	studies	study	NOUN
cana-3495	81	2	by	by	ADP
cana-3495	81	3	hossain	hossain	PROPN
cana-3495	81	4	and	and	CCONJ
cana-3495	81	5	muhammad	muhammad	PROPN
cana-3495	81	6	(	(	PUNCT
cana-3495	81	7	2020	2020	NUM
cana-3495	81	8	)	)	PUNCT
cana-3495	82	1	[	[	X
cana-3495	82	2	11	11	NUM
cana-3495	82	3	]	]	PUNCT
cana-3495	82	4	and	and	CCONJ
cana-3495	82	5	kumar	kumar	PROPN
cana-3495	82	6	and	and	CCONJ
cana-3495	82	7	sharma	sharma	PROPN
cana-3495	82	8	(	(	PUNCT
cana-3495	82	9	2021	2021	NUM
cana-3495	82	10	)	)	PUNCT
cana-3495	83	1	[	[	X
cana-3495	83	2	9	9	NUM
cana-3495	83	3	]	]	PUNCT
cana-3495	83	4	underscore	underscore	VERB
cana-3495	83	5	the	the	DET
cana-3495	83	6	need	need	NOUN
cana-3495	83	7	for	for	ADP
cana-3495	83	8	better	well	ADJ
cana-3495	83	9	evaluation	evaluation	NOUN
cana-3495	83	10	metrics	metric	NOUN
cana-3495	83	11	and	and	CCONJ
cana-3495	83	12	frameworks	framework	NOUN
cana-3495	83	13	to	to	PART
cana-3495	83	14	assess	assess	VERB
cana-3495	83	15	the	the	DET
cana-3495	83	16	performance	performance	NOUN
cana-3495	83	17	of	of	ADP
cana-3495	83	18	sentiment	sentiment	NOUN
cana-3495	83	19	analysis	analysis	NOUN
cana-3495	83	20	models	model	NOUN
cana-3495	83	21	in	in	ADP
cana-3495	83	22	real	real	ADJ
cana-3495	83	23	-	-	PUNCT
cana-3495	83	24	world	world	NOUN
cana-3495	83	25	scenarios	scenario	NOUN
cana-3495	83	26	.	.	PUNCT
cana-3495	84	1	the	the	DET
cana-3495	84	2	literature	literature	NOUN
cana-3495	84	3	highlights	highlight	VERB
cana-3495	84	4	the	the	DET
cana-3495	84	5	transformative	transformative	ADJ
cana-3495	84	6	impact	impact	NOUN
cana-3495	84	7	of	of	ADP
cana-3495	84	8	deep	deep	ADJ
cana-3495	84	9	learning	learning	NOUN
cana-3495	84	10	,	,	PUNCT
cana-3495	84	11	particularly	particularly	ADV
cana-3495	84	12	cnns	cnns	ADJ
cana-3495	84	13	,	,	PUNCT
cana-3495	84	14	on	on	ADP
cana-3495	84	15	sentiment	sentiment	NOUN
cana-3495	84	16	and	and	CCONJ
cana-3495	84	17	emotion	emotion	NOUN
cana-3495	84	18	analysis	analysis	NOUN
cana-3495	84	19	in	in	ADP
cana-3495	84	20	e	e	NOUN
cana-3495	84	21	-	-	NOUN
cana-3495	84	22	commerce	commerce	NOUN
cana-3495	84	23	.	.	PUNCT
cana-3495	85	1	by	by	ADP
cana-3495	85	2	addressing	address	VERB
cana-3495	85	3	the	the	DET
cana-3495	85	4	limitations	limitation	NOUN
cana-3495	85	5	of	of	ADP
cana-3495	85	6	traditional	traditional	ADJ
cana-3495	85	7	approaches	approach	NOUN
cana-3495	85	8	,	,	PUNCT
cana-3495	85	9	cnnbased	cnnbase	VERB
cana-3495	85	10	models	model	NOUN
cana-3495	85	11	have	have	AUX
cana-3495	85	12	set	set	VERB
cana-3495	85	13	new	new	ADJ
cana-3495	85	14	benchmarks	benchmark	NOUN
cana-3495	85	15	in	in	ADP
cana-3495	85	16	accuracy	accuracy	NOUN
cana-3495	85	17	and	and	CCONJ
cana-3495	85	18	performance	performance	NOUN
cana-3495	85	19	.	.	PUNCT
cana-3495	86	1	future	future	ADJ
cana-3495	86	2	research	research	NOUN
cana-3495	86	3	should	should	AUX
cana-3495	86	4	focus	focus	VERB
cana-3495	86	5	on	on	ADP
cana-3495	86	6	hybrid	hybrid	NOUN
cana-3495	86	7	and	and	CCONJ
cana-3495	86	8	multimodal	multimodal	NOUN
cana-3495	86	9	models	model	NOUN
cana-3495	86	10	,	,	PUNCT
cana-3495	86	11	as	as	ADV
cana-3495	86	12	well	well	ADV
cana-3495	86	13	as	as	ADP
cana-3495	86	14	techniques	technique	NOUN
cana-3495	86	15	to	to	PART
cana-3495	86	16	enhance	enhance	VERB
cana-3495	86	17	the	the	DET
cana-3495	86	18	interpretability	interpretability	NOUN
cana-3495	86	19	and	and	CCONJ
cana-3495	86	20	robustness	robustness	NOUN
cana-3495	86	21	of	of	ADP
cana-3495	86	22	sentiment	sentiment	NOUN
cana-3495	86	23	analysis	analysis	NOUN
cana-3495	86	24	systems	system	NOUN
cana-3495	86	25	,	,	PUNCT
cana-3495	86	26	to	to	PART
cana-3495	86	27	further	far	ADV
cana-3495	86	28	advance	advance	VERB
cana-3495	86	29	the	the	DET
cana-3495	86	30	field	field	NOUN
cana-3495	86	31	.	.	PUNCT
cana-3495	87	1	communications	communication	NOUN
cana-3495	87	2	on	on	ADP
cana-3495	87	3	applied	apply	VERB
cana-3495	87	4	nonlinear	nonlinear	ADJ
cana-3495	87	5	analysis	analysis	NOUN
cana-3495	87	6	issn	issn	NOUN
cana-3495	87	7	:	:	PUNCT
cana-3495	87	8	1074	1074	NUM
cana-3495	87	9	-	-	PUNCT
cana-3495	87	10	133x	133x	NUM
cana-3495	87	11	vol	vol	NOUN
cana-3495	87	12	32	32	NUM
cana-3495	87	13	no	no	NOUN
cana-3495	87	14	.	.	PUNCT
cana-3495	88	1	7s	7	NOUN
cana-3495	88	2	(	(	PUNCT
cana-3495	88	3	2025	2025	NUM
cana-3495	88	4	)	)	PUNCT
cana-3495	88	5	911	911	NUM
cana-3495	88	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3495	88	7	scope	scope	NOUN
cana-3495	88	8	,	,	PUNCT
cana-3495	88	9	opportunities	opportunity	NOUN
cana-3495	88	10	,	,	PUNCT
cana-3495	88	11	and	and	CCONJ
cana-3495	88	12	contemporary	contemporary	ADJ
cana-3495	88	13	challenges	challenge	NOUN
cana-3495	88	14	of	of	ADP
cana-3495	88	15	customer	customer	NOUN
cana-3495	88	16	emotion	emotion	NOUN
cana-3495	88	17	classification	classification	NOUN
cana-3495	88	18	in	in	ADP
cana-3495	88	19	ecommerce	ecommerce	NOUN
cana-3495	88	20	using	use	VERB
cana-3495	88	21	sentiment	sentiment	NOUN
cana-3495	88	22	analysis	analysis	NOUN
cana-3495	88	23	and	and	CCONJ
cana-3495	88	24	convolutional	convolutional	ADJ
cana-3495	88	25	neural	neural	ADJ
cana-3495	88	26	networks	network	NOUN
cana-3495	88	27	(	(	PUNCT
cana-3495	88	28	cnns	cnns	PROPN
cana-3495	88	29	):	):	PUNCT
cana-3495	88	30	scope	scope	NOUN
cana-3495	88	31	of	of	ADP
cana-3495	88	32	customer	customer	NOUN
cana-3495	88	33	emotions	emotion	NOUN
cana-3495	88	34	classification	classification	NOUN
cana-3495	88	35	in	in	ADP
cana-3495	88	36	e	e	NOUN
cana-3495	88	37	-	-	NOUN
cana-3495	88	38	commerce	commerce	ADJ
cana-3495	88	39	1	1	NUM
cana-3495	88	40	.	.	PUNCT
cana-3495	88	41	enhanced	enhance	VERB
cana-3495	88	42	customer	customer	NOUN
cana-3495	88	43	understanding	understanding	NOUN
cana-3495	88	44	:	:	PUNCT
cana-3495	88	45	e	e	X
cana-3495	88	46	-	-	NOUN
cana-3495	88	47	commerce	commerce	NOUN
cana-3495	88	48	businesses	business	NOUN
cana-3495	88	49	can	can	AUX
cana-3495	88	50	gain	gain	VERB
cana-3495	88	51	deep	deep	ADJ
cana-3495	88	52	insights	insight	NOUN
cana-3495	88	53	into	into	ADP
cana-3495	88	54	customer	customer	NOUN
cana-3495	88	55	preferences	preference	NOUN
cana-3495	88	56	,	,	PUNCT
cana-3495	88	57	behavior	behavior	NOUN
cana-3495	88	58	,	,	PUNCT
cana-3495	88	59	and	and	CCONJ
cana-3495	88	60	emotional	emotional	ADJ
cana-3495	88	61	responses	response	NOUN
cana-3495	88	62	through	through	ADP
cana-3495	88	63	emotion	emotion	NOUN
cana-3495	88	64	classification	classification	NOUN
cana-3495	88	65	.	.	PUNCT
cana-3495	89	1	by	by	ADP
cana-3495	89	2	analyzing	analyze	VERB
cana-3495	89	3	reviews	review	NOUN
cana-3495	89	4	,	,	PUNCT
cana-3495	89	5	feedback	feedback	NOUN
cana-3495	89	6	,	,	PUNCT
cana-3495	89	7	and	and	CCONJ
cana-3495	89	8	queries	query	NOUN
cana-3495	89	9	,	,	PUNCT
cana-3495	89	10	companies	company	NOUN
cana-3495	89	11	can	can	AUX
cana-3495	89	12	better	well	ADV
cana-3495	89	13	understand	understand	VERB
cana-3495	89	14	customer	customer	NOUN
cana-3495	89	15	satisfaction	satisfaction	NOUN
cana-3495	89	16	,	,	PUNCT
cana-3495	89	17	pain	pain	NOUN
cana-3495	89	18	points	point	NOUN
cana-3495	89	19	,	,	PUNCT
cana-3495	89	20	and	and	CCONJ
cana-3495	89	21	desires	desire	NOUN
cana-3495	89	22	.	.	PUNCT
cana-3495	90	1	2	2	X
cana-3495	90	2	.	.	NUM
cana-3495	90	3	improved	improve	VERB
cana-3495	90	4	personalization	personalization	NOUN
cana-3495	90	5	:	:	PUNCT
cana-3495	90	6	with	with	ADP
cana-3495	90	7	the	the	DET
cana-3495	90	8	ability	ability	NOUN
cana-3495	90	9	to	to	PART
cana-3495	90	10	classify	classify	VERB
cana-3495	90	11	a	a	DET
cana-3495	90	12	wide	wide	ADJ
cana-3495	90	13	range	range	NOUN
cana-3495	90	14	of	of	ADP
cana-3495	90	15	emotions	emotion	NOUN
cana-3495	90	16	(	(	PUNCT
cana-3495	90	17	e.g.	e.g.	ADV
cana-3495	90	18	,	,	PUNCT
cana-3495	90	19	happiness	happiness	NOUN
cana-3495	90	20	,	,	PUNCT
cana-3495	90	21	frustration	frustration	NOUN
cana-3495	90	22	,	,	PUNCT
cana-3495	90	23	or	or	CCONJ
cana-3495	90	24	excitement	excitement	NOUN
cana-3495	90	25	)	)	PUNCT
cana-3495	90	26	,	,	PUNCT
cana-3495	90	27	businesses	business	NOUN
cana-3495	90	28	can	can	AUX
cana-3495	90	29	personalize	personalize	VERB
cana-3495	90	30	the	the	DET
cana-3495	90	31	customer	customer	NOUN
cana-3495	90	32	experience	experience	NOUN
cana-3495	90	33	.	.	PUNCT
cana-3495	91	1	recommender	recommender	NOUN
cana-3495	91	2	systems	system	NOUN
cana-3495	91	3	can	can	AUX
cana-3495	91	4	adapt	adapt	VERB
cana-3495	91	5	product	product	NOUN
cana-3495	91	6	suggestions	suggestion	NOUN
cana-3495	91	7	based	base	VERB
cana-3495	91	8	on	on	ADP
cana-3495	91	9	the	the	DET
cana-3495	91	10	emotional	emotional	ADJ
cana-3495	91	11	tone	tone	NOUN
cana-3495	91	12	of	of	ADP
cana-3495	91	13	customer	customer	NOUN
cana-3495	91	14	reviews	review	NOUN
cana-3495	91	15	,	,	PUNCT
cana-3495	91	16	leading	lead	VERB
cana-3495	91	17	to	to	ADP
cana-3495	91	18	improved	improve	VERB
cana-3495	91	19	user	user	NOUN
cana-3495	91	20	engagement	engagement	NOUN
cana-3495	91	21	and	and	CCONJ
cana-3495	91	22	loyalty	loyalty	NOUN
cana-3495	91	23	.	.	PUNCT
cana-3495	92	1	3	3	X
cana-3495	92	2	.	.	X
cana-3495	92	3	customer	customer	NOUN
cana-3495	92	4	retention	retention	NOUN
cana-3495	92	5	and	and	CCONJ
cana-3495	92	6	loyalty	loyalty	NOUN
cana-3495	92	7	:	:	PUNCT
cana-3495	92	8	identifying	identify	VERB
cana-3495	92	9	dissatisfaction	dissatisfaction	NOUN
cana-3495	92	10	or	or	CCONJ
cana-3495	92	11	frustration	frustration	NOUN
cana-3495	92	12	in	in	ADP
cana-3495	92	13	reviews	review	NOUN
cana-3495	92	14	enables	enable	VERB
cana-3495	92	15	timely	timely	ADJ
cana-3495	92	16	intervention	intervention	NOUN
cana-3495	92	17	,	,	PUNCT
cana-3495	92	18	such	such	ADJ
cana-3495	92	19	as	as	ADP
cana-3495	92	20	targeted	target	VERB
cana-3495	92	21	offers	offer	NOUN
cana-3495	92	22	or	or	CCONJ
cana-3495	92	23	improved	improve	VERB
cana-3495	92	24	customer	customer	NOUN
cana-3495	92	25	support	support	NOUN
cana-3495	92	26	,	,	PUNCT
cana-3495	92	27	thereby	thereby	ADV
cana-3495	92	28	enhancing	enhance	VERB
cana-3495	92	29	retention	retention	NOUN
cana-3495	92	30	rates	rate	NOUN
cana-3495	92	31	.	.	PUNCT
cana-3495	93	1	positive	positive	ADJ
cana-3495	93	2	emotion	emotion	NOUN
cana-3495	93	3	detection	detection	NOUN
cana-3495	93	4	also	also	ADV
cana-3495	93	5	helps	help	VERB
cana-3495	93	6	in	in	ADP
cana-3495	93	7	identifying	identify	VERB
cana-3495	93	8	brand	brand	NOUN
cana-3495	93	9	advocates	advocate	NOUN
cana-3495	93	10	who	who	PRON
cana-3495	93	11	can	can	AUX
cana-3495	93	12	amplify	amplify	VERB
cana-3495	93	13	marketing	marketing	NOUN
cana-3495	93	14	efforts	effort	NOUN
cana-3495	93	15	.	.	PUNCT
cana-3495	94	1	4	4	X
cana-3495	94	2	.	.	X
cana-3495	94	3	market	market	NOUN
cana-3495	94	4	trend	trend	NOUN
cana-3495	94	5	analysis	analysis	NOUN
cana-3495	94	6	:	:	PUNCT
cana-3495	94	7	emotion	emotion	NOUN
cana-3495	94	8	classification	classification	NOUN
cana-3495	94	9	contributes	contribute	VERB
cana-3495	94	10	to	to	ADP
cana-3495	94	11	understanding	understand	VERB
cana-3495	94	12	changing	change	VERB
cana-3495	94	13	customer	customer	NOUN
cana-3495	94	14	sentiments	sentiment	NOUN
cana-3495	94	15	about	about	ADP
cana-3495	94	16	products	product	NOUN
cana-3495	94	17	,	,	PUNCT
cana-3495	94	18	categories	category	NOUN
cana-3495	94	19	,	,	PUNCT
cana-3495	94	20	or	or	CCONJ
cana-3495	94	21	brands	brand	NOUN
cana-3495	94	22	over	over	ADP
cana-3495	94	23	time	time	NOUN
cana-3495	94	24	.	.	PUNCT
cana-3495	95	1	businesses	business	NOUN
cana-3495	95	2	can	can	AUX
cana-3495	95	3	adapt	adapt	VERB
cana-3495	95	4	their	their	PRON
cana-3495	95	5	strategies	strategy	NOUN
cana-3495	95	6	accordingly	accordingly	ADV
cana-3495	95	7	to	to	PART
cana-3495	95	8	align	align	VERB
cana-3495	95	9	with	with	ADP
cana-3495	95	10	market	market	NOUN
cana-3495	95	11	trends	trend	NOUN
cana-3495	95	12	.	.	PUNCT
cana-3495	96	1	5	5	X
cana-3495	96	2	.	.	X
cana-3495	96	3	scalability	scalability	NOUN
cana-3495	96	4	across	across	ADP
cana-3495	96	5	platforms	platform	NOUN
cana-3495	96	6	:	:	PUNCT
cana-3495	96	7	sentiment	sentiment	NOUN
cana-3495	96	8	analysis	analysis	NOUN
cana-3495	96	9	using	use	VERB
cana-3495	96	10	cnns	cnn	NOUN
cana-3495	96	11	can	can	AUX
cana-3495	96	12	be	be	AUX
cana-3495	96	13	scaled	scale	VERB
cana-3495	96	14	to	to	PART
cana-3495	96	15	analyze	analyze	VERB
cana-3495	96	16	data	datum	NOUN
cana-3495	96	17	across	across	ADP
cana-3495	96	18	multiple	multiple	ADJ
cana-3495	96	19	e	e	NOUN
cana-3495	96	20	-	-	NOUN
cana-3495	96	21	commerce	commerce	NOUN
cana-3495	96	22	platforms	platform	NOUN
cana-3495	96	23	,	,	PUNCT
cana-3495	96	24	including	include	VERB
cana-3495	96	25	social	social	ADJ
cana-3495	96	26	media	medium	NOUN
cana-3495	96	27	,	,	PUNCT
cana-3495	96	28	product	product	NOUN
cana-3495	96	29	review	review	NOUN
cana-3495	96	30	sites	site	NOUN
cana-3495	96	31	,	,	PUNCT
cana-3495	96	32	and	and	CCONJ
cana-3495	96	33	customer	customer	NOUN
cana-3495	96	34	feedback	feedback	NOUN
cana-3495	96	35	portals	portal	NOUN
cana-3495	96	36	.	.	PUNCT
cana-3495	97	1	this	this	PRON
cana-3495	97	2	ensures	ensure	VERB
cana-3495	97	3	a	a	DET
cana-3495	97	4	holistic	holistic	ADJ
cana-3495	97	5	understanding	understanding	NOUN
cana-3495	97	6	of	of	ADP
cana-3495	97	7	customer	customer	NOUN
cana-3495	97	8	emotions	emotion	NOUN
cana-3495	97	9	in	in	ADP
cana-3495	97	10	real	real	ADJ
cana-3495	97	11	-	-	PUNCT
cana-3495	97	12	time	time	NOUN
cana-3495	97	13	.	.	PUNCT
cana-3495	98	1	opportunities	opportunity	NOUN
cana-3495	98	2	in	in	ADP
cana-3495	98	3	using	use	VERB
cana-3495	98	4	cnns	cnn	NOUN
cana-3495	98	5	for	for	ADP
cana-3495	98	6	sentiment	sentiment	NOUN
cana-3495	98	7	analysis	analysis	NOUN
cana-3495	98	8	1	1	NUM
cana-3495	98	9	.	.	PUNCT
cana-3495	98	10	improved	improve	VERB
cana-3495	98	11	classification	classification	NOUN
cana-3495	98	12	accuracy	accuracy	NOUN
cana-3495	98	13	:	:	PUNCT
cana-3495	98	14	cnns	cnns	PROPN
cana-3495	98	15	excel	excel	VERB
cana-3495	98	16	in	in	ADP
cana-3495	98	17	detecting	detect	VERB
cana-3495	98	18	local	local	ADJ
cana-3495	98	19	patterns	pattern	NOUN
cana-3495	98	20	and	and	CCONJ
cana-3495	98	21	dependencies	dependency	NOUN
cana-3495	98	22	in	in	ADP
cana-3495	98	23	textual	textual	ADJ
cana-3495	98	24	data	datum	NOUN
cana-3495	98	25	,	,	PUNCT
cana-3495	98	26	making	make	VERB
cana-3495	98	27	them	they	PRON
cana-3495	98	28	particularly	particularly	ADV
cana-3495	98	29	effective	effective	ADJ
cana-3495	98	30	in	in	ADP
cana-3495	98	31	capturing	capture	VERB
cana-3495	98	32	the	the	DET
cana-3495	98	33	nuanced	nuanced	ADJ
cana-3495	98	34	emotions	emotion	NOUN
cana-3495	98	35	expressed	express	VERB
cana-3495	98	36	in	in	ADP
cana-3495	98	37	customer	customer	NOUN
cana-3495	98	38	feedback	feedback	NOUN
cana-3495	98	39	.	.	PUNCT
cana-3495	99	1	they	they	PRON
cana-3495	99	2	can	can	AUX
cana-3495	99	3	outperform	outperform	VERB
cana-3495	99	4	traditional	traditional	ADJ
cana-3495	99	5	methods	method	NOUN
cana-3495	99	6	,	,	PUNCT
cana-3495	99	7	especially	especially	ADV
cana-3495	99	8	in	in	ADP
cana-3495	99	9	understanding	understand	VERB
cana-3495	99	10	complex	complex	ADJ
cana-3495	99	11	and	and	CCONJ
cana-3495	99	12	ambiguous	ambiguous	ADJ
cana-3495	99	13	sentiments	sentiment	NOUN
cana-3495	99	14	.	.	PUNCT
cana-3495	100	1	2	2	X
cana-3495	100	2	.	.	X
cana-3495	100	3	multi	multi	ADJ
cana-3495	100	4	-	-	ADJ
cana-3495	100	5	emotion	emotion	ADJ
cana-3495	100	6	classification	classification	NOUN
cana-3495	100	7	:	:	PUNCT
cana-3495	100	8	cnn	cnn	PROPN
cana-3495	100	9	-	-	PUNCT
cana-3495	100	10	based	base	VERB
cana-3495	100	11	models	model	NOUN
cana-3495	100	12	can	can	AUX
cana-3495	100	13	classify	classify	VERB
cana-3495	100	14	a	a	DET
cana-3495	100	15	wide	wide	ADJ
cana-3495	100	16	range	range	NOUN
cana-3495	100	17	of	of	ADP
cana-3495	100	18	emotions	emotion	NOUN
cana-3495	100	19	simultaneously	simultaneously	ADV
cana-3495	100	20	,	,	PUNCT
cana-3495	100	21	moving	move	VERB
cana-3495	100	22	beyond	beyond	ADP
cana-3495	100	23	binary	binary	ADJ
cana-3495	100	24	classification	classification	NOUN
cana-3495	100	25	(	(	PUNCT
cana-3495	100	26	positive	positive	ADJ
cana-3495	100	27	or	or	CCONJ
cana-3495	100	28	negative	negative	ADJ
cana-3495	100	29	sentiment	sentiment	NOUN
cana-3495	100	30	)	)	PUNCT
cana-3495	100	31	to	to	PART
cana-3495	100	32	include	include	VERB
cana-3495	100	33	emotions	emotion	NOUN
cana-3495	100	34	like	like	ADP
cana-3495	100	35	anger	anger	NOUN
cana-3495	100	36	,	,	PUNCT
cana-3495	100	37	joy	joy	NOUN
cana-3495	100	38	,	,	PUNCT
cana-3495	100	39	sadness	sadness	NOUN
cana-3495	100	40	,	,	PUNCT
cana-3495	100	41	or	or	CCONJ
cana-3495	100	42	surprise	surprise	NOUN
cana-3495	100	43	.	.	PUNCT
cana-3495	101	1	3	3	X
cana-3495	101	2	.	.	X
cana-3495	101	3	integration	integration	NOUN
cana-3495	101	4	with	with	ADP
cana-3495	101	5	advanced	advanced	ADJ
cana-3495	101	6	nlp	nlp	NOUN
cana-3495	101	7	techniques	technique	NOUN
cana-3495	101	8	:	:	PUNCT
cana-3495	101	9	cnns	cnn	NOUN
cana-3495	101	10	can	can	AUX
cana-3495	101	11	be	be	AUX
cana-3495	101	12	combined	combine	VERB
cana-3495	101	13	with	with	ADP
cana-3495	101	14	state	state	NOUN
cana-3495	101	15	-	-	PUNCT
cana-3495	101	16	of	of	ADP
cana-3495	101	17	-	-	PUNCT
cana-3495	101	18	the	the	DET
cana-3495	101	19	-	-	PUNCT
cana-3495	101	20	art	art	NOUN
cana-3495	101	21	language	language	NOUN
cana-3495	101	22	models	model	NOUN
cana-3495	101	23	like	like	ADP
cana-3495	101	24	bert	bert	NOUN
cana-3495	101	25	or	or	CCONJ
cana-3495	101	26	transformers	transformer	NOUN
cana-3495	101	27	to	to	PART
cana-3495	101	28	improve	improve	VERB
cana-3495	101	29	contextual	contextual	ADJ
cana-3495	101	30	understanding	understanding	NOUN
cana-3495	101	31	.	.	PUNCT
cana-3495	102	1	this	this	DET
cana-3495	102	2	hybrid	hybrid	ADJ
cana-3495	102	3	approach	approach	NOUN
cana-3495	102	4	leverages	leverage	VERB
cana-3495	102	5	cnns	cnn	NOUN
cana-3495	102	6	'	'	PART
cana-3495	102	7	strength	strength	NOUN
cana-3495	102	8	in	in	ADP
cana-3495	102	9	pattern	pattern	NOUN
cana-3495	102	10	detection	detection	NOUN
cana-3495	102	11	and	and	CCONJ
cana-3495	102	12	transformers	transformer	NOUN
cana-3495	102	13	'	'	PART
cana-3495	102	14	ability	ability	NOUN
cana-3495	102	15	to	to	PART
cana-3495	102	16	understand	understand	VERB
cana-3495	102	17	context	context	NOUN
cana-3495	102	18	,	,	PUNCT
cana-3495	102	19	further	far	ADV
cana-3495	102	20	enhancing	enhance	VERB
cana-3495	102	21	sentiment	sentiment	NOUN
cana-3495	102	22	analysis	analysis	NOUN
cana-3495	102	23	.	.	PUNCT
cana-3495	103	1	communications	communication	NOUN
cana-3495	103	2	on	on	ADP
cana-3495	103	3	applied	apply	VERB
cana-3495	103	4	nonlinear	nonlinear	ADJ
cana-3495	103	5	analysis	analysis	NOUN
cana-3495	103	6	issn	issn	NOUN
cana-3495	103	7	:	:	PUNCT
cana-3495	103	8	1074	1074	NUM
cana-3495	103	9	-	-	PUNCT
cana-3495	103	10	133x	133x	NUM
cana-3495	103	11	vol	vol	NOUN
cana-3495	103	12	32	32	NUM
cana-3495	103	13	no	no	NOUN
cana-3495	103	14	.	.	PUNCT
cana-3495	104	1	7s	7	NOUN
cana-3495	104	2	(	(	PUNCT
cana-3495	104	3	2025	2025	NUM
cana-3495	104	4	)	)	PUNCT
cana-3495	104	5	912	912	NUM
cana-3495	104	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3495	104	7	4	4	NUM
cana-3495	104	8	.	.	PUNCT
cana-3495	104	9	real	real	ADJ
cana-3495	104	10	-	-	PUNCT
cana-3495	104	11	time	time	NOUN
cana-3495	104	12	sentiment	sentiment	NOUN
cana-3495	104	13	monitoring	monitoring	NOUN
cana-3495	104	14	:	:	PUNCT
cana-3495	104	15	cnns	cnn	NOUN
cana-3495	104	16	enable	enable	VERB
cana-3495	104	17	real	real	ADJ
cana-3495	104	18	-	-	PUNCT
cana-3495	104	19	time	time	NOUN
cana-3495	104	20	processing	processing	NOUN
cana-3495	104	21	of	of	ADP
cana-3495	104	22	massive	massive	ADJ
cana-3495	104	23	amounts	amount	NOUN
cana-3495	104	24	of	of	ADP
cana-3495	104	25	textual	textual	ADJ
cana-3495	104	26	data	datum	NOUN
cana-3495	104	27	,	,	PUNCT
cana-3495	104	28	which	which	PRON
cana-3495	104	29	is	be	AUX
cana-3495	104	30	critical	critical	ADJ
cana-3495	104	31	for	for	SCONJ
cana-3495	104	32	ecommerce	ecommerce	NOUN
cana-3495	104	33	platforms	platform	NOUN
cana-3495	104	34	to	to	PART
cana-3495	104	35	respond	respond	VERB
cana-3495	104	36	dynamically	dynamically	ADV
cana-3495	104	37	to	to	ADP
cana-3495	104	38	customer	customer	NOUN
cana-3495	104	39	sentiments	sentiment	NOUN
cana-3495	104	40	.	.	PUNCT
cana-3495	105	1	5	5	X
cana-3495	105	2	.	.	X
cana-3495	105	3	applications	application	NOUN
cana-3495	105	4	in	in	ADP
cana-3495	105	5	product	product	NOUN
cana-3495	105	6	development	development	NOUN
cana-3495	105	7	:	:	PUNCT
cana-3495	105	8	insights	insight	NOUN
cana-3495	105	9	derived	derive	VERB
cana-3495	105	10	from	from	ADP
cana-3495	105	11	emotion	emotion	NOUN
cana-3495	105	12	classification	classification	NOUN
cana-3495	105	13	can	can	AUX
cana-3495	105	14	inform	inform	VERB
cana-3495	105	15	product	product	NOUN
cana-3495	105	16	design	design	NOUN
cana-3495	105	17	,	,	PUNCT
cana-3495	105	18	marketing	marketing	NOUN
cana-3495	105	19	campaigns	campaign	NOUN
cana-3495	105	20	,	,	PUNCT
cana-3495	105	21	and	and	CCONJ
cana-3495	105	22	customer	customer	NOUN
cana-3495	105	23	service	service	NOUN
cana-3495	105	24	improvements	improvement	NOUN
cana-3495	105	25	,	,	PUNCT
cana-3495	105	26	making	make	VERB
cana-3495	105	27	it	it	PRON
cana-3495	105	28	a	a	DET
cana-3495	105	29	valuable	valuable	ADJ
cana-3495	105	30	tool	tool	NOUN
cana-3495	105	31	for	for	ADP
cana-3495	105	32	innovation	innovation	NOUN
cana-3495	105	33	.	.	PUNCT
cana-3495	106	1	6	6	X
cana-3495	106	2	.	.	X
cana-3495	106	3	cross	cross	ADJ
cana-3495	106	4	-	-	ADJ
cana-3495	106	5	lingual	lingual	ADJ
cana-3495	106	6	adaptation	adaptation	NOUN
cana-3495	106	7	:	:	PUNCT
cana-3495	106	8	cnn	cnn	PROPN
cana-3495	106	9	-	-	PUNCT
cana-3495	106	10	based	base	VERB
cana-3495	106	11	models	model	NOUN
cana-3495	106	12	can	can	AUX
cana-3495	106	13	be	be	AUX
cana-3495	106	14	trained	train	VERB
cana-3495	106	15	on	on	ADP
cana-3495	106	16	multilingual	multilingual	ADJ
cana-3495	106	17	datasets	dataset	NOUN
cana-3495	106	18	,	,	PUNCT
cana-3495	106	19	enabling	enable	VERB
cana-3495	106	20	e	e	PROPN
cana-3495	106	21	-	-	NOUN
cana-3495	106	22	commerce	commerce	NOUN
cana-3495	106	23	platforms	platform	NOUN
cana-3495	106	24	to	to	PART
cana-3495	106	25	analyze	analyze	VERB
cana-3495	106	26	customer	customer	NOUN
cana-3495	106	27	sentiments	sentiment	NOUN
cana-3495	106	28	across	across	ADP
cana-3495	106	29	different	different	ADJ
cana-3495	106	30	regions	region	NOUN
cana-3495	106	31	and	and	CCONJ
cana-3495	106	32	languages	language	NOUN
cana-3495	106	33	.	.	PUNCT
cana-3495	107	1	contemporary	contemporary	ADJ
cana-3495	107	2	challenges	challenge	NOUN
cana-3495	107	3	in	in	ADP
cana-3495	107	4	customer	customer	NOUN
cana-3495	107	5	emotion	emotion	NOUN
cana-3495	107	6	classification	classification	NOUN
cana-3495	107	7	1	1	NUM
cana-3495	107	8	.	.	PUNCT
cana-3495	107	9	imbalanced	imbalanced	ADJ
cana-3495	107	10	datasets	dataset	NOUN
cana-3495	107	11	:	:	PUNCT
cana-3495	107	12	customer	customer	NOUN
cana-3495	107	13	feedback	feedback	NOUN
cana-3495	107	14	datasets	dataset	NOUN
cana-3495	107	15	often	often	ADV
cana-3495	107	16	suffer	suffer	VERB
cana-3495	107	17	from	from	ADP
cana-3495	107	18	imbalances	imbalance	NOUN
cana-3495	107	19	,	,	PUNCT
cana-3495	107	20	with	with	ADP
cana-3495	107	21	a	a	DET
cana-3495	107	22	majority	majority	NOUN
cana-3495	107	23	of	of	ADP
cana-3495	107	24	reviews	review	NOUN
cana-3495	107	25	expressing	express	VERB
cana-3495	107	26	neutral	neutral	ADJ
cana-3495	107	27	or	or	CCONJ
cana-3495	107	28	positive	positive	ADJ
cana-3495	107	29	sentiments	sentiment	NOUN
cana-3495	107	30	.	.	PUNCT
cana-3495	108	1	training	training	NOUN
cana-3495	108	2	cnns	cnn	NOUN
cana-3495	108	3	on	on	ADP
cana-3495	108	4	such	such	ADJ
cana-3495	108	5	datasets	dataset	NOUN
cana-3495	108	6	can	can	AUX
cana-3495	108	7	lead	lead	VERB
cana-3495	108	8	to	to	ADP
cana-3495	108	9	biased	biased	ADJ
cana-3495	108	10	models	model	NOUN
cana-3495	108	11	that	that	PRON
cana-3495	108	12	fail	fail	VERB
cana-3495	108	13	to	to	PART
cana-3495	108	14	accurately	accurately	ADV
cana-3495	108	15	classify	classify	VERB
cana-3495	108	16	less	less	ADV
cana-3495	108	17	common	common	ADJ
cana-3495	108	18	emotions	emotion	NOUN
cana-3495	108	19	like	like	ADP
cana-3495	108	20	anger	anger	NOUN
cana-3495	108	21	or	or	CCONJ
cana-3495	108	22	disappointment	disappointment	NOUN
cana-3495	108	23	.	.	PUNCT
cana-3495	109	1	2	2	X
cana-3495	109	2	.	.	X
cana-3495	109	3	subjectivity	subjectivity	NOUN
cana-3495	109	4	of	of	ADP
cana-3495	109	5	emotions	emotion	NOUN
cana-3495	109	6	:	:	PUNCT
cana-3495	109	7	emotions	emotion	NOUN
cana-3495	109	8	are	be	AUX
cana-3495	109	9	highly	highly	ADV
cana-3495	109	10	subjective	subjective	ADJ
cana-3495	109	11	and	and	CCONJ
cana-3495	109	12	context	context	NOUN
cana-3495	109	13	-	-	PUNCT
cana-3495	109	14	dependent	dependent	ADJ
cana-3495	109	15	.	.	PUNCT
cana-3495	110	1	for	for	ADP
cana-3495	110	2	instance	instance	NOUN
cana-3495	110	3	,	,	PUNCT
cana-3495	110	4	sarcasm	sarcasm	NOUN
cana-3495	110	5	or	or	CCONJ
cana-3495	110	6	humor	humor	NOUN
cana-3495	110	7	in	in	ADP
cana-3495	110	8	customer	customer	NOUN
cana-3495	110	9	reviews	review	NOUN
cana-3495	110	10	may	may	AUX
cana-3495	110	11	be	be	AUX
cana-3495	110	12	misinterpreted	misinterpret	VERB
cana-3495	110	13	by	by	ADP
cana-3495	110	14	models	model	NOUN
cana-3495	110	15	,	,	PUNCT
cana-3495	110	16	leading	lead	VERB
cana-3495	110	17	to	to	ADP
cana-3495	110	18	classification	classification	NOUN
cana-3495	110	19	errors	error	NOUN
cana-3495	110	20	.	.	PUNCT
cana-3495	111	1	3	3	X
cana-3495	111	2	.	.	X
cana-3495	111	3	data	datum	NOUN
cana-3495	111	4	noise	noise	NOUN
cana-3495	111	5	and	and	CCONJ
cana-3495	111	6	preprocessing	preprocessing	NOUN
cana-3495	111	7	:	:	PUNCT
cana-3495	111	8	customer	customer	NOUN
cana-3495	111	9	reviews	review	NOUN
cana-3495	111	10	often	often	ADV
cana-3495	111	11	contain	contain	VERB
cana-3495	111	12	slang	slang	PROPN
cana-3495	111	13	,	,	PUNCT
cana-3495	111	14	abbreviations	abbreviation	NOUN
cana-3495	111	15	,	,	PUNCT
cana-3495	111	16	emojis	emoji	NOUN
cana-3495	111	17	,	,	PUNCT
cana-3495	111	18	and	and	CCONJ
cana-3495	111	19	spelling	spelling	NOUN
cana-3495	111	20	errors	error	NOUN
cana-3495	111	21	,	,	PUNCT
cana-3495	111	22	which	which	PRON
cana-3495	111	23	can	can	AUX
cana-3495	111	24	hinder	hinder	VERB
cana-3495	111	25	the	the	DET
cana-3495	111	26	performance	performance	NOUN
cana-3495	111	27	of	of	ADP
cana-3495	111	28	cnns	cnn	NOUN
cana-3495	111	29	.	.	PUNCT
cana-3495	112	1	effective	effective	ADJ
cana-3495	112	2	preprocessing	preprocessing	NOUN
cana-3495	112	3	techniques	technique	NOUN
cana-3495	112	4	are	be	AUX
cana-3495	112	5	required	require	VERB
cana-3495	112	6	to	to	PART
cana-3495	112	7	clean	clean	VERB
cana-3495	112	8	and	and	CCONJ
cana-3495	112	9	standardize	standardize	VERB
cana-3495	112	10	the	the	DET
cana-3495	112	11	data	datum	NOUN
cana-3495	112	12	.	.	PUNCT
cana-3495	113	1	4	4	X
cana-3495	113	2	.	.	X
cana-3495	113	3	generalization	generalization	NOUN
cana-3495	113	4	across	across	ADP
cana-3495	113	5	domains	domain	NOUN
cana-3495	113	6	:	:	PUNCT
cana-3495	113	7	cnn	cnn	PROPN
cana-3495	113	8	models	model	NOUN
cana-3495	113	9	trained	train	VERB
cana-3495	113	10	on	on	ADP
cana-3495	113	11	specific	specific	ADJ
cana-3495	113	12	product	product	NOUN
cana-3495	113	13	categories	category	NOUN
cana-3495	113	14	may	may	AUX
cana-3495	113	15	struggle	struggle	VERB
cana-3495	113	16	to	to	PART
cana-3495	113	17	generalize	generalize	VERB
cana-3495	113	18	across	across	ADP
cana-3495	113	19	different	different	ADJ
cana-3495	113	20	domains	domain	NOUN
cana-3495	113	21	.	.	PUNCT
cana-3495	114	1	for	for	ADP
cana-3495	114	2	example	example	NOUN
cana-3495	114	3	,	,	PUNCT
cana-3495	114	4	a	a	DET
cana-3495	114	5	model	model	NOUN
cana-3495	114	6	trained	train	VERB
cana-3495	114	7	on	on	ADP
cana-3495	114	8	electronics	electronic	NOUN
cana-3495	114	9	reviews	review	NOUN
cana-3495	114	10	may	may	AUX
cana-3495	114	11	perform	perform	VERB
cana-3495	114	12	poorly	poorly	ADV
cana-3495	114	13	when	when	SCONJ
cana-3495	114	14	applied	apply	VERB
cana-3495	114	15	to	to	ADP
cana-3495	114	16	fashion	fashion	NOUN
cana-3495	114	17	or	or	CCONJ
cana-3495	114	18	home	home	NOUN
cana-3495	114	19	goods	good	NOUN
cana-3495	114	20	.	.	PUNCT
cana-3495	115	1	5	5	X
cana-3495	115	2	.	.	X
cana-3495	115	3	resource	resource	NOUN
cana-3495	115	4	-	-	PUNCT
cana-3495	115	5	intensive	intensive	ADJ
cana-3495	115	6	training	training	NOUN
cana-3495	115	7	:	:	PUNCT
cana-3495	115	8	training	training	NOUN
cana-3495	115	9	cnns	cnn	NOUN
cana-3495	115	10	on	on	ADP
cana-3495	115	11	large	large	ADJ
cana-3495	115	12	datasets	dataset	NOUN
cana-3495	115	13	requires	require	VERB
cana-3495	115	14	significant	significant	ADJ
cana-3495	115	15	computational	computational	ADJ
cana-3495	115	16	resources	resource	NOUN
cana-3495	115	17	and	and	CCONJ
cana-3495	115	18	expertise	expertise	NOUN
cana-3495	115	19	in	in	ADP
cana-3495	115	20	hyperparameter	hyperparameter	NOUN
cana-3495	115	21	tuning	tuning	NOUN
cana-3495	115	22	,	,	PUNCT
cana-3495	115	23	which	which	PRON
cana-3495	115	24	can	can	AUX
cana-3495	115	25	be	be	AUX
cana-3495	115	26	a	a	DET
cana-3495	115	27	barrier	barrier	NOUN
cana-3495	115	28	for	for	ADP
cana-3495	115	29	smaller	small	ADJ
cana-3495	115	30	e	e	ADJ
cana-3495	115	31	-	-	NOUN
cana-3495	115	32	commerce	commerce	NOUN
cana-3495	115	33	businesses	business	NOUN
cana-3495	115	34	.	.	PUNCT
cana-3495	116	1	6	6	X
cana-3495	116	2	.	.	X
cana-3495	116	3	interpretability	interpretability	NOUN
cana-3495	116	4	of	of	ADP
cana-3495	116	5	deep	deep	ADJ
cana-3495	116	6	learning	learning	NOUN
cana-3495	116	7	models	model	NOUN
cana-3495	116	8	:	:	PUNCT
cana-3495	116	9	cnns	cnn	NOUN
cana-3495	116	10	are	be	AUX
cana-3495	116	11	often	often	ADV
cana-3495	116	12	considered	consider	VERB
cana-3495	116	13	black	black	ADJ
cana-3495	116	14	-	-	PUNCT
cana-3495	116	15	box	box	NOUN
cana-3495	116	16	models	model	NOUN
cana-3495	116	17	,	,	PUNCT
cana-3495	116	18	making	make	VERB
cana-3495	116	19	it	it	PRON
cana-3495	116	20	difficult	difficult	ADJ
cana-3495	116	21	to	to	PART
cana-3495	116	22	interpret	interpret	VERB
cana-3495	116	23	how	how	SCONJ
cana-3495	116	24	they	they	PRON
cana-3495	116	25	arrive	arrive	VERB
cana-3495	116	26	at	at	ADP
cana-3495	116	27	specific	specific	ADJ
cana-3495	116	28	classifications	classification	NOUN
cana-3495	116	29	.	.	PUNCT
cana-3495	117	1	this	this	DET
cana-3495	117	2	lack	lack	NOUN
cana-3495	117	3	of	of	ADP
cana-3495	117	4	transparency	transparency	NOUN
cana-3495	117	5	can	can	AUX
cana-3495	117	6	hinder	hinder	VERB
cana-3495	117	7	trust	trust	NOUN
cana-3495	117	8	and	and	CCONJ
cana-3495	117	9	the	the	DET
cana-3495	117	10	adoption	adoption	NOUN
cana-3495	117	11	of	of	ADP
cana-3495	117	12	these	these	DET
cana-3495	117	13	models	model	NOUN
cana-3495	117	14	in	in	ADP
cana-3495	117	15	sensitive	sensitive	ADJ
cana-3495	117	16	applications	application	NOUN
cana-3495	117	17	.	.	PUNCT
cana-3495	118	1	7	7	X
cana-3495	118	2	.	.	NOUN
cana-3495	118	3	multilingual	multilingual	ADJ
cana-3495	118	4	sentiment	sentiment	NOUN
cana-3495	118	5	analysis	analysis	NOUN
cana-3495	118	6	:	:	PUNCT
cana-3495	118	7	while	while	SCONJ
cana-3495	118	8	cnns	cnn	NOUN
cana-3495	118	9	can	can	AUX
cana-3495	118	10	be	be	AUX
cana-3495	118	11	adapted	adapt	VERB
cana-3495	118	12	for	for	ADP
cana-3495	118	13	multiple	multiple	ADJ
cana-3495	118	14	languages	language	NOUN
cana-3495	118	15	,	,	PUNCT
cana-3495	118	16	achieving	achieve	VERB
cana-3495	118	17	consistent	consistent	ADJ
cana-3495	118	18	performance	performance	NOUN
cana-3495	118	19	across	across	ADP
cana-3495	118	20	diverse	diverse	ADJ
cana-3495	118	21	languages	language	NOUN
cana-3495	118	22	and	and	CCONJ
cana-3495	118	23	dialects	dialect	NOUN
cana-3495	118	24	remains	remain	VERB
cana-3495	118	25	a	a	DET
cana-3495	118	26	challenge	challenge	NOUN
cana-3495	118	27	due	due	ADP
cana-3495	118	28	to	to	ADP
cana-3495	118	29	variations	variation	NOUN
cana-3495	118	30	in	in	ADP
cana-3495	118	31	grammar	grammar	NOUN
cana-3495	118	32	,	,	PUNCT
cana-3495	118	33	vocabulary	vocabulary	NOUN
cana-3495	118	34	,	,	PUNCT
cana-3495	118	35	and	and	CCONJ
cana-3495	118	36	cultural	cultural	ADJ
cana-3495	118	37	nuances	nuance	NOUN
cana-3495	118	38	.	.	PUNCT
cana-3495	119	1	communications	communication	NOUN
cana-3495	119	2	on	on	ADP
cana-3495	119	3	applied	apply	VERB
cana-3495	119	4	nonlinear	nonlinear	ADJ
cana-3495	119	5	analysis	analysis	NOUN
cana-3495	119	6	issn	issn	NOUN
cana-3495	119	7	:	:	PUNCT
cana-3495	119	8	1074	1074	NUM
cana-3495	119	9	-	-	PUNCT
cana-3495	119	10	133x	133x	NUM
cana-3495	119	11	vol	vol	NOUN
cana-3495	119	12	32	32	NUM
cana-3495	119	13	no	no	NOUN
cana-3495	119	14	.	.	PUNCT
cana-3495	120	1	7s	7	NOUN
cana-3495	120	2	(	(	PUNCT
cana-3495	120	3	2025	2025	NUM
cana-3495	120	4	)	)	PUNCT
cana-3495	120	5	913	913	NUM
cana-3495	120	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3495	120	7	8	8	NUM
cana-3495	120	8	.	.	PUNCT
cana-3495	120	9	dynamic	dynamic	ADJ
cana-3495	120	10	nature	nature	NOUN
cana-3495	120	11	of	of	ADP
cana-3495	120	12	language	language	NOUN
cana-3495	120	13	:	:	PUNCT
cana-3495	120	14	customer	customer	NOUN
cana-3495	120	15	language	language	NOUN
cana-3495	120	16	evolves	evolve	VERB
cana-3495	120	17	rapidly	rapidly	ADV
cana-3495	120	18	,	,	PUNCT
cana-3495	120	19	with	with	ADP
cana-3495	120	20	new	new	ADJ
cana-3495	120	21	terms	term	NOUN
cana-3495	120	22	,	,	PUNCT
cana-3495	120	23	phrases	phrase	NOUN
cana-3495	120	24	,	,	PUNCT
cana-3495	120	25	and	and	CCONJ
cana-3495	120	26	expressions	expression	NOUN
cana-3495	120	27	emerging	emerge	VERB
cana-3495	120	28	frequently	frequently	ADV
cana-3495	120	29	.	.	PUNCT
cana-3495	121	1	models	model	NOUN
cana-3495	121	2	must	must	AUX
cana-3495	121	3	be	be	AUX
cana-3495	121	4	continuously	continuously	ADV
cana-3495	121	5	updated	update	VERB
cana-3495	121	6	to	to	PART
cana-3495	121	7	remain	remain	VERB
cana-3495	121	8	effective	effective	ADJ
cana-3495	121	9	,	,	PUNCT
cana-3495	121	10	which	which	PRON
cana-3495	121	11	increases	increase	VERB
cana-3495	121	12	maintenance	maintenance	NOUN
cana-3495	121	13	complexity	complexity	NOUN
cana-3495	121	14	.	.	PUNCT
cana-3495	122	1	9	9	X
cana-3495	122	2	.	.	X
cana-3495	122	3	ethical	ethical	ADJ
cana-3495	122	4	and	and	CCONJ
cana-3495	122	5	privacy	privacy	NOUN
cana-3495	122	6	concerns	concern	NOUN
cana-3495	122	7	:	:	PUNCT
cana-3495	122	8	sentiment	sentiment	NOUN
cana-3495	122	9	analysis	analysis	NOUN
cana-3495	122	10	involves	involve	VERB
cana-3495	122	11	processing	process	VERB
cana-3495	122	12	personal	personal	ADJ
cana-3495	122	13	data	datum	NOUN
cana-3495	122	14	,	,	PUNCT
cana-3495	122	15	which	which	PRON
cana-3495	122	16	raises	raise	VERB
cana-3495	122	17	concerns	concern	NOUN
cana-3495	122	18	about	about	ADP
cana-3495	122	19	data	datum	NOUN
cana-3495	122	20	privacy	privacy	NOUN
cana-3495	122	21	and	and	CCONJ
cana-3495	122	22	compliance	compliance	NOUN
cana-3495	122	23	with	with	ADP
cana-3495	122	24	regulations	regulation	NOUN
cana-3495	122	25	like	like	ADP
cana-3495	122	26	gdpr	gdpr	NOUN
cana-3495	122	27	.	.	PUNCT
cana-3495	123	1	businesses	business	NOUN
cana-3495	123	2	must	must	AUX
cana-3495	123	3	ensure	ensure	VERB
cana-3495	123	4	that	that	SCONJ
cana-3495	123	5	customer	customer	NOUN
cana-3495	123	6	data	datum	NOUN
cana-3495	123	7	is	be	AUX
cana-3495	123	8	anonymized	anonymize	VERB
cana-3495	123	9	and	and	CCONJ
cana-3495	123	10	handled	handle	VERB
cana-3495	123	11	responsibly	responsibly	ADV
cana-3495	123	12	.	.	PUNCT
cana-3495	124	1	the	the	DET
cana-3495	124	2	scope	scope	NOUN
cana-3495	124	3	of	of	ADP
cana-3495	124	4	customer	customer	NOUN
cana-3495	124	5	emotion	emotion	NOUN
cana-3495	124	6	classification	classification	NOUN
cana-3495	124	7	in	in	ADP
cana-3495	124	8	e	e	NOUN
cana-3495	124	9	-	-	NOUN
cana-3495	124	10	commerce	commerce	NOUN
cana-3495	124	11	is	be	AUX
cana-3495	124	12	vast	vast	ADJ
cana-3495	124	13	,	,	PUNCT
cana-3495	124	14	offering	offer	VERB
cana-3495	124	15	opportunities	opportunity	NOUN
cana-3495	124	16	to	to	PART
cana-3495	124	17	enhance	enhance	VERB
cana-3495	124	18	customer	customer	NOUN
cana-3495	124	19	experiences	experience	NOUN
cana-3495	124	20	,	,	PUNCT
cana-3495	124	21	optimize	optimize	VERB
cana-3495	124	22	business	business	NOUN
cana-3495	124	23	strategies	strategy	NOUN
cana-3495	124	24	,	,	PUNCT
cana-3495	124	25	and	and	CCONJ
cana-3495	124	26	drive	drive	VERB
cana-3495	124	27	innovation	innovation	NOUN
cana-3495	124	28	.	.	PUNCT
cana-3495	125	1	cnns	cnns	PROPN
cana-3495	125	2	,	,	PUNCT
cana-3495	125	3	with	with	ADP
cana-3495	125	4	their	their	PRON
cana-3495	125	5	robust	robust	ADJ
cana-3495	125	6	feature	feature	NOUN
cana-3495	125	7	extraction	extraction	NOUN
cana-3495	125	8	capabilities	capability	NOUN
cana-3495	125	9	,	,	PUNCT
cana-3495	125	10	are	be	AUX
cana-3495	125	11	at	at	ADP
cana-3495	125	12	the	the	DET
cana-3495	125	13	forefront	forefront	NOUN
cana-3495	125	14	of	of	ADP
cana-3495	125	15	sentiment	sentiment	NOUN
cana-3495	125	16	analysis	analysis	NOUN
cana-3495	125	17	advancements	advancement	NOUN
cana-3495	125	18	.	.	PUNCT
cana-3495	126	1	however	however	ADV
cana-3495	126	2	,	,	PUNCT
cana-3495	126	3	contemporary	contemporary	ADJ
cana-3495	126	4	challenges	challenge	NOUN
cana-3495	126	5	such	such	ADJ
cana-3495	126	6	as	as	ADP
cana-3495	126	7	data	datum	NOUN
cana-3495	126	8	imbalance	imbalance	NOUN
cana-3495	126	9	,	,	PUNCT
cana-3495	126	10	model	model	NOUN
cana-3495	126	11	interpretability	interpretability	NOUN
cana-3495	126	12	,	,	PUNCT
cana-3495	126	13	and	and	CCONJ
cana-3495	126	14	dynamic	dynamic	ADJ
cana-3495	126	15	language	language	NOUN
cana-3495	126	16	trends	trend	NOUN
cana-3495	126	17	must	must	AUX
cana-3495	126	18	be	be	AUX
cana-3495	126	19	addressed	address	VERB
cana-3495	126	20	to	to	PART
cana-3495	126	21	unlock	unlock	VERB
cana-3495	126	22	the	the	DET
cana-3495	126	23	full	full	ADJ
cana-3495	126	24	potential	potential	NOUN
cana-3495	126	25	of	of	ADP
cana-3495	126	26	these	these	DET
cana-3495	126	27	systems	system	NOUN
cana-3495	126	28	.	.	PUNCT
cana-3495	127	1	overcoming	overcome	VERB
cana-3495	127	2	these	these	DET
cana-3495	127	3	obstacles	obstacle	NOUN
cana-3495	127	4	will	will	AUX
cana-3495	127	5	pave	pave	VERB
cana-3495	127	6	the	the	DET
cana-3495	127	7	way	way	NOUN
cana-3495	127	8	for	for	ADP
cana-3495	127	9	more	more	ADV
cana-3495	127	10	accurate	accurate	ADJ
cana-3495	127	11	,	,	PUNCT
cana-3495	127	12	scalable	scalable	ADJ
cana-3495	127	13	,	,	PUNCT
cana-3495	127	14	and	and	CCONJ
cana-3495	127	15	ethical	ethical	ADJ
cana-3495	127	16	applications	application	NOUN
cana-3495	127	17	of	of	ADP
cana-3495	127	18	emotion	emotion	NOUN
cana-3495	127	19	classification	classification	NOUN
cana-3495	127	20	in	in	ADP
cana-3495	127	21	the	the	DET
cana-3495	127	22	ecommerce	ecommerce	NOUN
cana-3495	127	23	domain	domain	NOUN
cana-3495	127	24	.	.	PUNCT
cana-3495	128	1	case	case	NOUN
cana-3495	128	2	study	study	NOUN
cana-3495	128	3	authors	author	NOUN
cana-3495	128	4	has	have	AUX
cana-3495	128	5	attempted	attempt	VERB
cana-3495	128	6	to	to	PART
cana-3495	128	7	showcase	showcase	VERB
cana-3495	128	8	real	real	ADJ
cana-3495	128	9	-	-	PUNCT
cana-3495	128	10	world	world	NOUN
cana-3495	128	11	e	e	PROPN
cana-3495	128	12	-	-	NOUN
cana-3495	128	13	commerce	commerce	NOUN
cana-3495	128	14	platforms	platform	NOUN
cana-3495	128	15	leveraging	leverage	VERB
cana-3495	128	16	customer	customer	NOUN
cana-3495	128	17	emotion	emotion	NOUN
cana-3495	128	18	classification	classification	NOUN
cana-3495	128	19	through	through	ADP
cana-3495	128	20	sentiment	sentiment	NOUN
cana-3495	128	21	analysis	analysis	NOUN
cana-3495	128	22	and	and	CCONJ
cana-3495	128	23	convolutional	convolutional	ADJ
cana-3495	128	24	neural	neural	ADJ
cana-3495	128	25	networks	network	NOUN
cana-3495	128	26	(	(	PUNCT
cana-3495	128	27	cnns	cnns	PROPN
cana-3495	128	28	):	):	PUNCT
cana-3495	128	29	ecommerce	ecommerce	NOUN
cana-3495	128	30	platform	platform	NOUN
cana-3495	128	31	use	use	NOUN
cana-3495	128	32	case	case	NOUN
cana-3495	128	33	/	/	SYM
cana-3495	128	34	implementation	implementation	NOUN
cana-3495	128	35	approach	approach	NOUN
cana-3495	128	36	/	/	SYM
cana-3495	128	37	model	model	NOUN
cana-3495	128	38	used	use	VERB
cana-3495	128	39	benefits	benefit	NOUN
cana-3495	128	40	achieved	achieve	VERB
cana-3495	128	41	challenges	challenge	NOUN
cana-3495	128	42	faced	face	VERB
cana-3495	128	43	amazon	amazon	NOUN
cana-3495	128	44	emotion	emotion	NOUN
cana-3495	128	45	analysis	analysis	NOUN
cana-3495	128	46	of	of	ADP
cana-3495	128	47	product	product	NOUN
cana-3495	128	48	reviews	review	NOUN
cana-3495	128	49	to	to	PART
cana-3495	128	50	refine	refine	VERB
cana-3495	128	51	search	search	NOUN
cana-3495	128	52	results	result	NOUN
cana-3495	128	53	and	and	CCONJ
cana-3495	128	54	personalize	personalize	VERB
cana-3495	128	55	recommendations	recommendation	NOUN
cana-3495	128	56	.	.	PUNCT
cana-3495	129	1	hybrid	hybrid	NOUN
cana-3495	129	2	models	model	NOUN
cana-3495	129	3	combining	combine	VERB
cana-3495	129	4	cnns	cnn	NOUN
cana-3495	129	5	and	and	CCONJ
cana-3495	129	6	transformers	transformer	NOUN
cana-3495	129	7	(	(	PUNCT
cana-3495	129	8	e.g.	e.g.	ADV
cana-3495	129	9	,	,	PUNCT
cana-3495	129	10	bertcnn	bertcnn	PROPN
cana-3495	129	11	)	)	PUNCT
cana-3495	129	12	.	.	PUNCT
cana-3495	130	1	improved	improve	VERB
cana-3495	130	2	product	product	NOUN
cana-3495	130	3	recommendations	recommendation	NOUN
cana-3495	130	4	,	,	PUNCT
cana-3495	130	5	enhanced	enhance	VERB
cana-3495	130	6	customer	customer	NOUN
cana-3495	130	7	satisfaction	satisfaction	NOUN
cana-3495	130	8	,	,	PUNCT
cana-3495	130	9	and	and	CCONJ
cana-3495	130	10	better	well	ADJ
cana-3495	130	11	handling	handling	NOUN
cana-3495	130	12	of	of	ADP
cana-3495	130	13	negative	negative	ADJ
cana-3495	130	14	feedback	feedback	NOUN
cana-3495	130	15	.	.	PUNCT
cana-3495	131	1	handling	handle	VERB
cana-3495	131	2	diverse	diverse	ADJ
cana-3495	131	3	languages	language	NOUN
cana-3495	131	4	and	and	CCONJ
cana-3495	131	5	dialects	dialect	NOUN
cana-3495	131	6	in	in	ADP
cana-3495	131	7	global	global	ADJ
cana-3495	131	8	customer	customer	NOUN
cana-3495	131	9	reviews	review	NOUN
cana-3495	131	10	.	.	PUNCT
cana-3495	132	1	alibaba	alibaba	PROPN
cana-3495	132	2	analysis	analysis	NOUN
cana-3495	132	3	of	of	ADP
cana-3495	132	4	customer	customer	NOUN
cana-3495	132	5	queries	query	NOUN
cana-3495	132	6	and	and	CCONJ
cana-3495	132	7	reviews	review	NOUN
cana-3495	132	8	to	to	PART
cana-3495	132	9	understand	understand	VERB
cana-3495	132	10	localized	localized	ADJ
cana-3495	132	11	sentiment	sentiment	NOUN
cana-3495	132	12	for	for	ADP
cana-3495	132	13	targeted	target	VERB
cana-3495	132	14	marketing	marketing	NOUN
cana-3495	132	15	campaigns	campaign	NOUN
cana-3495	132	16	.	.	PUNCT
cana-3495	133	1	cnns	cnns	PROPN
cana-3495	133	2	fine	fine	ADV
cana-3495	133	3	-	-	PUNCT
cana-3495	133	4	tuned	tune	VERB
cana-3495	133	5	on	on	ADP
cana-3495	133	6	multilingual	multilingual	ADJ
cana-3495	133	7	datasets	dataset	NOUN
cana-3495	133	8	.	.	PUNCT
cana-3495	134	1	increased	increase	VERB
cana-3495	134	2	sales	sale	NOUN
cana-3495	134	3	conversion	conversion	NOUN
cana-3495	134	4	rates	rate	NOUN
cana-3495	134	5	by	by	ADP
cana-3495	134	6	aligning	align	VERB
cana-3495	134	7	promotions	promotion	NOUN
cana-3495	134	8	with	with	ADP
cana-3495	134	9	regional	regional	ADJ
cana-3495	134	10	customer	customer	NOUN
cana-3495	134	11	sentiment	sentiment	NOUN
cana-3495	134	12	trends	trend	NOUN
cana-3495	134	13	.	.	PUNCT
cana-3495	135	1	addressing	address	VERB
cana-3495	135	2	noisy	noisy	ADJ
cana-3495	135	3	data	datum	NOUN
cana-3495	135	4	in	in	ADP
cana-3495	135	5	customergenerated	customergenerate	VERB
cana-3495	135	6	content	content	NOUN
cana-3495	135	7	.	.	PUNCT
cana-3495	136	1	ebay	ebay	ADJ
cana-3495	136	2	real	real	ADJ
cana-3495	136	3	-	-	PUNCT
cana-3495	136	4	time	time	NOUN
cana-3495	136	5	monitoring	monitoring	NOUN
cana-3495	136	6	of	of	ADP
cana-3495	136	7	customer	customer	NOUN
cana-3495	136	8	reviews	review	NOUN
cana-3495	136	9	to	to	PART
cana-3495	136	10	identify	identify	VERB
cana-3495	136	11	and	and	CCONJ
cana-3495	136	12	mitigate	mitigate	VERB
cana-3495	136	13	dissatisfaction	dissatisfaction	NOUN
cana-3495	136	14	regarding	regard	VERB
cana-3495	136	15	seller	seller	NOUN
cana-3495	136	16	performance	performance	NOUN
cana-3495	136	17	.	.	PUNCT
cana-3495	137	1	real	real	ADJ
cana-3495	137	2	-	-	PUNCT
cana-3495	137	3	time	time	NOUN
cana-3495	137	4	cnn	cnn	PROPN
cana-3495	137	5	pipelines	pipeline	NOUN
cana-3495	137	6	integrated	integrate	VERB
cana-3495	137	7	with	with	ADP
cana-3495	137	8	automated	automate	VERB
cana-3495	137	9	feedback	feedback	NOUN
cana-3495	137	10	systems	system	NOUN
cana-3495	137	11	.	.	PUNCT
cana-3495	138	1	reduced	reduce	VERB
cana-3495	138	2	customer	customer	NOUN
cana-3495	138	3	churn	churn	NOUN
cana-3495	138	4	and	and	CCONJ
cana-3495	138	5	improved	improved	ADJ
cana-3495	138	6	trust	trust	NOUN
cana-3495	138	7	between	between	ADP
cana-3495	138	8	buyers	buyer	NOUN
cana-3495	138	9	and	and	CCONJ
cana-3495	138	10	sellers	seller	NOUN
cana-3495	138	11	.	.	PUNCT
cana-3495	139	1	high	high	ADJ
cana-3495	139	2	computational	computational	ADJ
cana-3495	139	3	cost	cost	NOUN
cana-3495	139	4	for	for	ADP
cana-3495	139	5	processing	process	VERB
cana-3495	139	6	large	large	ADJ
cana-3495	139	7	-	-	PUNCT
cana-3495	139	8	scale	scale	NOUN
cana-3495	139	9	communications	communication	NOUN
cana-3495	139	10	on	on	ADP
cana-3495	139	11	applied	apply	VERB
cana-3495	139	12	nonlinear	nonlinear	ADJ
cana-3495	139	13	analysis	analysis	NOUN
cana-3495	139	14	issn	issn	NOUN
cana-3495	139	15	:	:	PUNCT
cana-3495	139	16	1074	1074	NUM
cana-3495	139	17	-	-	PUNCT
cana-3495	139	18	133x	133x	NUM
cana-3495	139	19	vol	vol	NOUN
cana-3495	139	20	32	32	NUM
cana-3495	139	21	no	no	NOUN
cana-3495	139	22	.	.	PUNCT
cana-3495	140	1	7s	7	NOUN
cana-3495	140	2	(	(	PUNCT
cana-3495	140	3	2025	2025	NUM
cana-3495	140	4	)	)	PUNCT
cana-3495	140	5	914	914	NUM
cana-3495	140	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3495	140	7	reviews	review	NOUN
cana-3495	140	8	in	in	ADP
cana-3495	140	9	real	real	ADJ
cana-3495	140	10	time	time	NOUN
cana-3495	140	11	.	.	PUNCT
cana-3495	141	1	zalando	zalando	PROPN
cana-3495	141	2	emotional	emotional	ADJ
cana-3495	141	3	analysis	analysis	NOUN
cana-3495	141	4	of	of	ADP
cana-3495	141	5	fashion	fashion	NOUN
cana-3495	141	6	reviews	review	NOUN
cana-3495	141	7	to	to	PART
cana-3495	141	8	identify	identify	VERB
cana-3495	141	9	trends	trend	NOUN
cana-3495	141	10	and	and	CCONJ
cana-3495	141	11	refine	refine	VERB
cana-3495	141	12	inventory	inventory	NOUN
cana-3495	141	13	planning	planning	NOUN
cana-3495	141	14	.	.	PUNCT
cana-3495	142	1	cnns	cnns	PROPN
cana-3495	142	2	trained	train	VERB
cana-3495	142	3	on	on	ADP
cana-3495	142	4	domain	domain	NOUN
cana-3495	142	5	-	-	PUNCT
cana-3495	142	6	specific	specific	ADJ
cana-3495	142	7	datasets	dataset	NOUN
cana-3495	142	8	for	for	ADP
cana-3495	142	9	apparel	apparel	NOUN
cana-3495	142	10	-	-	PUNCT
cana-3495	142	11	related	relate	VERB
cana-3495	142	12	reviews	review	NOUN
cana-3495	142	13	.	.	PUNCT
cana-3495	143	1	enhanced	enhance	VERB
cana-3495	143	2	product	product	NOUN
cana-3495	143	3	offerings	offering	NOUN
cana-3495	143	4	based	base	VERB
cana-3495	143	5	on	on	ADP
cana-3495	143	6	emotional	emotional	ADJ
cana-3495	143	7	trends	trend	NOUN
cana-3495	143	8	and	and	CCONJ
cana-3495	143	9	better	well	ADJ
cana-3495	143	10	stock	stock	NOUN
cana-3495	143	11	management	management	NOUN
cana-3495	143	12	.	.	PUNCT
cana-3495	144	1	managing	manage	VERB
cana-3495	144	2	subjective	subjective	ADJ
cana-3495	144	3	language	language	NOUN
cana-3495	144	4	in	in	ADP
cana-3495	144	5	fashion	fashion	NOUN
cana-3495	144	6	-	-	PUNCT
cana-3495	144	7	related	relate	VERB
cana-3495	144	8	feedback	feedback	NOUN
cana-3495	144	9	.	.	PUNCT
cana-3495	145	1	flipkart	flipkart	ADJ
cana-3495	145	2	sentiment	sentiment	NOUN
cana-3495	145	3	analysis	analysis	NOUN
cana-3495	145	4	to	to	PART
cana-3495	145	5	prioritize	prioritize	VERB
cana-3495	145	6	customer	customer	NOUN
cana-3495	145	7	complaints	complaint	NOUN
cana-3495	145	8	and	and	CCONJ
cana-3495	145	9	improve	improve	VERB
cana-3495	145	10	response	response	NOUN
cana-3495	145	11	time	time	NOUN
cana-3495	145	12	in	in	ADP
cana-3495	145	13	customer	customer	NOUN
cana-3495	145	14	support	support	NOUN
cana-3495	145	15	.	.	PUNCT
cana-3495	146	1	cnns	cnns	PROPN
cana-3495	146	2	integrated	integrate	VERB
cana-3495	146	3	with	with	ADP
cana-3495	146	4	lstm	lstm	NOUN
cana-3495	146	5	for	for	ADP
cana-3495	146	6	sentiment	sentiment	NOUN
cana-3495	146	7	tracking	track	VERB
cana-3495	146	8	over	over	ADP
cana-3495	146	9	time	time	NOUN
cana-3495	146	10	.	.	PUNCT
cana-3495	147	1	faster	fast	ADJ
cana-3495	147	2	resolution	resolution	NOUN
cana-3495	147	3	of	of	ADP
cana-3495	147	4	complaints	complaint	NOUN
cana-3495	147	5	and	and	CCONJ
cana-3495	147	6	higher	high	ADJ
cana-3495	147	7	customer	customer	NOUN
cana-3495	147	8	satisfaction	satisfaction	NOUN
cana-3495	147	9	scores	score	NOUN
cana-3495	147	10	.	.	PUNCT
cana-3495	148	1	difficulty	difficulty	NOUN
cana-3495	148	2	in	in	ADP
cana-3495	148	3	classifying	classify	VERB
cana-3495	148	4	sarcastic	sarcastic	ADJ
cana-3495	148	5	or	or	CCONJ
cana-3495	148	6	ambiguous	ambiguous	ADJ
cana-3495	148	7	complaints	complaint	NOUN
cana-3495	148	8	.	.	PUNCT
cana-3495	149	1	shopify	shopify	VERB
cana-3495	149	2	emotion	emotion	NOUN
cana-3495	149	3	detection	detection	NOUN
cana-3495	149	4	in	in	ADP
cana-3495	149	5	reviews	review	NOUN
cana-3495	149	6	to	to	PART
cana-3495	149	7	provide	provide	VERB
cana-3495	149	8	analytics	analytic	NOUN
cana-3495	149	9	to	to	ADP
cana-3495	149	10	merchants	merchant	NOUN
cana-3495	149	11	about	about	ADP
cana-3495	149	12	customer	customer	NOUN
cana-3495	149	13	experience	experience	NOUN
cana-3495	149	14	with	with	ADP
cana-3495	149	15	their	their	PRON
cana-3495	149	16	stores	store	NOUN
cana-3495	149	17	.	.	PUNCT
cana-3495	150	1	pretrained	pretraine	VERB
cana-3495	150	2	cnn	cnn	PROPN
cana-3495	150	3	models	model	NOUN
cana-3495	150	4	with	with	ADP
cana-3495	150	5	minimal	minimal	ADJ
cana-3495	150	6	finetuning	finetuning	NOUN
cana-3495	150	7	.	.	PUNCT
cana-3495	151	1	enabled	enable	VERB
cana-3495	151	2	merchants	merchant	NOUN
cana-3495	151	3	to	to	PART
cana-3495	151	4	improve	improve	VERB
cana-3495	151	5	their	their	PRON
cana-3495	151	6	product	product	NOUN
cana-3495	151	7	quality	quality	NOUN
cana-3495	151	8	and	and	CCONJ
cana-3495	151	9	marketing	marketing	NOUN
cana-3495	151	10	strategies	strategy	NOUN
cana-3495	151	11	.	.	PUNCT
cana-3495	152	1	lack	lack	NOUN
cana-3495	152	2	of	of	ADP
cana-3495	152	3	generalization	generalization	NOUN
cana-3495	152	4	for	for	ADP
cana-3495	152	5	stores	store	NOUN
cana-3495	152	6	with	with	ADP
cana-3495	152	7	unique	unique	ADJ
cana-3495	152	8	customer	customer	NOUN
cana-3495	152	9	demographics	demographic	NOUN
cana-3495	152	10	.	.	PUNCT
cana-3495	153	1	walmart	walmart	PROPN
cana-3495	153	2	sentiment	sentiment	NOUN
cana-3495	153	3	analysis	analysis	NOUN
cana-3495	153	4	of	of	ADP
cana-3495	153	5	customer	customer	NOUN
cana-3495	153	6	reviews	review	NOUN
cana-3495	153	7	to	to	PART
cana-3495	153	8	improve	improve	VERB
cana-3495	153	9	product	product	NOUN
cana-3495	153	10	descriptions	description	NOUN
cana-3495	153	11	and	and	CCONJ
cana-3495	153	12	identify	identify	VERB
cana-3495	153	13	low	low	ADV
cana-3495	153	14	-	-	PUNCT
cana-3495	153	15	rated	rate	VERB
cana-3495	153	16	products	product	NOUN
cana-3495	153	17	.	.	PUNCT
cana-3495	154	1	cnns	cnns	PROPN
cana-3495	154	2	with	with	ADP
cana-3495	154	3	attention	attention	NOUN
cana-3495	154	4	mechanisms	mechanism	NOUN
cana-3495	154	5	to	to	PART
cana-3495	154	6	focus	focus	VERB
cana-3495	154	7	on	on	ADP
cana-3495	154	8	critical	critical	ADJ
cana-3495	154	9	review	review	NOUN
cana-3495	154	10	phrases	phrase	NOUN
cana-3495	154	11	.	.	PUNCT
cana-3495	155	1	improved	improve	VERB
cana-3495	155	2	product	product	NOUN
cana-3495	155	3	descriptions	description	NOUN
cana-3495	155	4	and	and	CCONJ
cana-3495	155	5	phased	phase	VERB
cana-3495	155	6	out	out	ADP
cana-3495	155	7	poorly	poorly	ADV
cana-3495	155	8	rated	rate	VERB
cana-3495	155	9	products	product	NOUN
cana-3495	155	10	.	.	PUNCT
cana-3495	156	1	handling	handle	VERB
cana-3495	156	2	a	a	DET
cana-3495	156	3	wide	wide	ADJ
cana-3495	156	4	variety	variety	NOUN
cana-3495	156	5	of	of	ADP
cana-3495	156	6	product	product	NOUN
cana-3495	156	7	categories	category	NOUN
cana-3495	156	8	with	with	ADP
cana-3495	156	9	varying	vary	VERB
cana-3495	156	10	review	review	NOUN
cana-3495	156	11	structures	structure	NOUN
cana-3495	156	12	.	.	PUNCT
cana-3495	157	1	etsy	etsy	NOUN
cana-3495	157	2	emotion	emotion	NOUN
cana-3495	157	3	classification	classification	NOUN
cana-3495	157	4	in	in	ADP
cana-3495	157	5	seller	seller	NOUN
cana-3495	157	6	-	-	PUNCT
cana-3495	157	7	buyer	buyer	NOUN
cana-3495	157	8	conversations	conversation	NOUN
cana-3495	157	9	to	to	PART
cana-3495	157	10	improve	improve	VERB
cana-3495	157	11	the	the	DET
cana-3495	157	12	overall	overall	ADJ
cana-3495	157	13	community	community	NOUN
cana-3495	157	14	experience	experience	NOUN
cana-3495	157	15	.	.	PUNCT
cana-3495	158	1	cnns	cnn	NOUN
cana-3495	158	2	combined	combine	VERB
cana-3495	158	3	with	with	ADP
cana-3495	158	4	nlp	nlp	NOUN
cana-3495	158	5	-	-	PUNCT
cana-3495	158	6	based	base	VERB
cana-3495	158	7	dialogue	dialogue	NOUN
cana-3495	158	8	systems	system	NOUN
cana-3495	158	9	.	.	PUNCT
cana-3495	159	1	better	well	ADJ
cana-3495	159	2	dispute	dispute	NOUN
cana-3495	159	3	resolution	resolution	NOUN
cana-3495	159	4	and	and	CCONJ
cana-3495	159	5	improved	improved	ADJ
cana-3495	159	6	trust	trust	NOUN
cana-3495	159	7	in	in	ADP
cana-3495	159	8	the	the	DET
cana-3495	159	9	platform	platform	NOUN
cana-3495	159	10	.	.	PUNCT
cana-3495	160	1	ensuring	ensure	VERB
cana-3495	160	2	privacy	privacy	NOUN
cana-3495	160	3	and	and	CCONJ
cana-3495	160	4	ethical	ethical	ADJ
cana-3495	160	5	handling	handling	NOUN
cana-3495	160	6	of	of	ADP
cana-3495	160	7	user	user	NOUN
cana-3495	160	8	data	data	PROPN
cana-3495	160	9	.	.	PUNCT
cana-3495	161	1	target	target	NOUN
cana-3495	161	2	sentiment	sentiment	NOUN
cana-3495	161	3	analysis	analysis	NOUN
cana-3495	161	4	of	of	ADP
cana-3495	161	5	social	social	ADJ
cana-3495	161	6	media	medium	NOUN
cana-3495	161	7	feedback	feedback	NOUN
cana-3495	161	8	to	to	PART
cana-3495	161	9	gauge	gauge	VERB
cana-3495	161	10	customer	customer	NOUN
cana-3495	161	11	sentiment	sentiment	NOUN
cana-3495	161	12	toward	toward	ADP
cana-3495	161	13	new	new	ADJ
cana-3495	161	14	product	product	NOUN
cana-3495	161	15	launches	launch	NOUN
cana-3495	161	16	.	.	PUNCT
cana-3495	162	1	cnns	cnns	PROPN
cana-3495	162	2	trained	train	VERB
cana-3495	162	3	on	on	ADP
cana-3495	162	4	cross	cross	ADJ
cana-3495	162	5	-	-	ADJ
cana-3495	162	6	platform	platform	ADJ
cana-3495	162	7	social	social	ADJ
cana-3495	162	8	media	medium	NOUN
cana-3495	162	9	data	datum	NOUN
cana-3495	162	10	.	.	PUNCT
cana-3495	163	1	more	more	ADV
cana-3495	163	2	successful	successful	ADJ
cana-3495	163	3	marketing	marketing	NOUN
cana-3495	163	4	campaigns	campaign	NOUN
cana-3495	163	5	and	and	CCONJ
cana-3495	163	6	better	well	ADJ
cana-3495	163	7	product	product	NOUN
cana-3495	163	8	launch	launch	NOUN
cana-3495	163	9	strategies	strategy	NOUN
cana-3495	163	10	.	.	PUNCT
cana-3495	164	1	handling	handle	VERB
cana-3495	164	2	informal	informal	ADJ
cana-3495	164	3	language	language	NOUN
cana-3495	164	4	and	and	CCONJ
cana-3495	164	5	abbreviations	abbreviation	NOUN
cana-3495	164	6	common	common	ADJ
cana-3495	164	7	on	on	ADP
cana-3495	164	8	social	social	ADJ
cana-3495	164	9	media	medium	NOUN
cana-3495	164	10	platforms	platform	NOUN
cana-3495	164	11	.	.	PUNCT
cana-3495	165	1	wayfair	wayfair	PROPN
cana-3495	165	2	emotion	emotion	NOUN
cana-3495	165	3	analysis	analysis	NOUN
cana-3495	165	4	of	of	ADP
cana-3495	165	5	home	home	NOUN
cana-3495	165	6	décor	décor	NOUN
cana-3495	165	7	product	product	NOUN
cana-3495	165	8	reviews	review	NOUN
cana-3495	165	9	to	to	PART
cana-3495	165	10	refine	refine	VERB
cana-3495	165	11	cnns	cnn	NOUN
cana-3495	165	12	applied	apply	VERB
cana-3495	165	13	to	to	ADP
cana-3495	165	14	multimodal	multimodal	NOUN
cana-3495	165	15	improved	improve	VERB
cana-3495	165	16	conversion	conversion	NOUN
cana-3495	165	17	rates	rate	NOUN
cana-3495	165	18	by	by	ADP
cana-3495	165	19	aligning	align	VERB
cana-3495	165	20	product	product	NOUN
cana-3495	165	21	processing	processing	NOUN
cana-3495	165	22	and	and	CCONJ
cana-3495	165	23	synchronizing	synchronize	VERB
cana-3495	165	24	multimodal	multimodal	NOUN
cana-3495	165	25	communications	communication	NOUN
cana-3495	165	26	on	on	ADP
cana-3495	165	27	applied	apply	VERB
cana-3495	165	28	nonlinear	nonlinear	ADJ
cana-3495	165	29	analysis	analysis	NOUN
cana-3495	165	30	issn	issn	NOUN
cana-3495	165	31	:	:	PUNCT
cana-3495	165	32	1074	1074	NUM
cana-3495	165	33	-	-	PUNCT
cana-3495	165	34	133x	133x	NUM
cana-3495	165	35	vol	vol	NOUN
cana-3495	165	36	32	32	NUM
cana-3495	165	37	no	no	NOUN
cana-3495	165	38	.	.	PUNCT
cana-3495	166	1	7s	7	NOUN
cana-3495	166	2	(	(	PUNCT
cana-3495	166	3	2025	2025	NUM
cana-3495	166	4	)	)	PUNCT
cana-3495	166	5	915	915	NUM
cana-3495	166	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3495	166	7	product	product	NOUN
cana-3495	166	8	listings	listing	NOUN
cana-3495	166	9	and	and	CCONJ
cana-3495	166	10	optimize	optimize	VERB
cana-3495	166	11	visual	visual	ADJ
cana-3495	166	12	merchandising	merchandising	NOUN
cana-3495	166	13	.	.	PUNCT
cana-3495	167	1	datasets	dataset	NOUN
cana-3495	167	2	(	(	PUNCT
cana-3495	167	3	text	text	NOUN
cana-3495	167	4	and	and	CCONJ
cana-3495	167	5	images	image	NOUN
cana-3495	167	6	)	)	PUNCT
cana-3495	167	7	.	.	PUNCT
cana-3495	168	1	visuals	visual	NOUN
cana-3495	168	2	with	with	ADP
cana-3495	168	3	customer	customer	NOUN
cana-3495	168	4	preferences	preference	NOUN
cana-3495	168	5	.	.	PUNCT
cana-3495	169	1	datasets	dataset	NOUN
cana-3495	169	2	efficiently	efficiently	ADV
cana-3495	169	3	.	.	PUNCT
cana-3495	170	1	this	this	DET
cana-3495	170	2	table	table	NOUN
cana-3495	170	3	highlights	highlight	VERB
cana-3495	170	4	how	how	SCONJ
cana-3495	170	5	various	various	ADJ
cana-3495	170	6	e	e	NOUN
cana-3495	170	7	-	-	ADJ
cana-3495	170	8	commerce	commerce	NOUN
cana-3495	170	9	platforms	platform	NOUN
cana-3495	170	10	leverage	leverage	NOUN
cana-3495	170	11	customer	customer	NOUN
cana-3495	170	12	emotion	emotion	NOUN
cana-3495	170	13	classification	classification	NOUN
cana-3495	170	14	and	and	CCONJ
cana-3495	170	15	the	the	DET
cana-3495	170	16	corresponding	corresponding	ADJ
cana-3495	170	17	benefits	benefit	NOUN
cana-3495	170	18	and	and	CCONJ
cana-3495	170	19	challenges	challenge	NOUN
cana-3495	170	20	.	.	PUNCT
cana-3495	171	1	if	if	SCONJ
cana-3495	171	2	you	you	PRON
cana-3495	171	3	'd	would	AUX
cana-3495	171	4	like	like	VERB
cana-3495	171	5	me	i	PRON
cana-3495	171	6	to	to	PART
cana-3495	171	7	expand	expand	VERB
cana-3495	171	8	or	or	CCONJ
cana-3495	171	9	customize	customize	VERB
cana-3495	171	10	this	this	PRON
cana-3495	171	11	further	far	ADV
cana-3495	171	12	for	for	ADP
cana-3495	171	13	a	a	DET
cana-3495	171	14	specific	specific	ADJ
cana-3495	171	15	use	use	NOUN
cana-3495	171	16	case	case	NOUN
cana-3495	171	17	,	,	PUNCT
cana-3495	171	18	let	let	VERB
cana-3495	171	19	me	i	PRON
cana-3495	171	20	know	know	VERB
cana-3495	171	21	!	!	PUNCT
cana-3495	172	1	result	result	VERB
cana-3495	172	2	&	&	CCONJ
cana-3495	172	3	observation	observation	VERB
cana-3495	172	4	the	the	DET
cana-3495	172	5	data	datum	NOUN
cana-3495	172	6	table	table	NOUN
cana-3495	172	7	contain	contain	VERB
cana-3495	172	8	the	the	DET
cana-3495	172	9	following	follow	VERB
cana-3495	172	10	structure	structure	NOUN
cana-3495	172	11	,	,	PUNCT
cana-3495	172	12	representing	represent	VERB
cana-3495	172	13	key	key	ADJ
cana-3495	172	14	performance	performance	NOUN
cana-3495	172	15	metrics	metric	NOUN
cana-3495	172	16	and	and	CCONJ
cana-3495	172	17	dataset	dataset	ADJ
cana-3495	172	18	details	detail	NOUN
cana-3495	172	19	for	for	ADP
cana-3495	172	20	the	the	DET
cana-3495	172	21	cnn	cnn	PROPN
cana-3495	172	22	model	model	NOUN
cana-3495	172	23	used	use	VERB
cana-3495	172	24	for	for	ADP
cana-3495	172	25	customer	customer	NOUN
cana-3495	172	26	emotion	emotion	NOUN
cana-3495	172	27	classification	classification	NOUN
cana-3495	172	28	:	:	PUNCT
cana-3495	172	29	metric	metric	ADJ
cana-3495	172	30	description	description	NOUN
cana-3495	172	31	dataset	dataset	VERB
cana-3495	172	32	used	use	VERB
cana-3495	172	33	cnn	cnn	PROPN
cana-3495	172	34	model	model	PROPN
cana-3495	172	35	architectu	architectu	PROPN
cana-3495	172	36	re	re	PROPN
cana-3495	172	37	accurac	accurac	PROPN
cana-3495	172	38	y	y	PROPN
cana-3495	172	39	(	(	PUNCT
cana-3495	172	40	%	%	INTJ
cana-3495	172	41	)	)	PUNCT
cana-3495	172	42	precisio	precisio	VERB
cana-3495	172	43	n	n	PROPN
cana-3495	172	44	(	(	PUNCT
cana-3495	172	45	%	%	INTJ
cana-3495	172	46	)	)	PUNCT
cana-3495	172	47	recal	recal	ADJ
cana-3495	172	48	l	l	NOUN
cana-3495	172	49	(	(	PUNCT
cana-3495	172	50	%	%	INTJ
cana-3495	172	51	)	)	PUNCT
cana-3495	172	52	f1scor	f1scor	NOUN
cana-3495	172	53	e	e	NOUN
cana-3495	172	54	(	(	PUNCT
cana-3495	172	55	%	%	INTJ
cana-3495	172	56	)	)	PUNCT
cana-3495	172	57	processin	processin	NOUN
cana-3495	172	58	g	g	PROPN
cana-3495	172	59	time	time	NOUN
cana-3495	172	60	(	(	PUNCT
cana-3495	172	61	ms	ms	NOUN
cana-3495	172	62	)	)	PUNCT
cana-3495	172	63	positive	positive	ADJ
cana-3495	172	64	emotion	emotion	NOUN
cana-3495	172	65	accuracy	accuracy	NOUN
cana-3495	172	66	in	in	ADP
cana-3495	172	67	detecting	detect	VERB
cana-3495	172	68	positive	positive	ADJ
cana-3495	172	69	emotions	emotion	NOUN
cana-3495	172	70	ecommerc	ecommerc	NOUN
cana-3495	172	71	e	e	NOUN
cana-3495	172	72	reviews	review	NOUN
cana-3495	172	73	set	set	VERB
cana-3495	172	74	cnnbert	cnnbert	PROPN
cana-3495	172	75	hybrid	hybrid	VERB
cana-3495	172	76	91.2	91.2	NUM
cana-3495	172	77	89.6	89.6	NUM
cana-3495	172	78	90.5	90.5	NUM
cana-3495	172	79	90.0	90.0	NUM
cana-3495	172	80	120	120	NUM
cana-3495	172	81	negative	negative	ADJ
cana-3495	172	82	emotion	emotion	NOUN
cana-3495	172	83	accuracy	accuracy	NOUN
cana-3495	172	84	in	in	ADP
cana-3495	172	85	detecting	detect	VERB
cana-3495	172	86	negative	negative	ADJ
cana-3495	172	87	emotions	emotion	NOUN
cana-3495	172	88	ecommerc	ecommerc	NOUN
cana-3495	172	89	e	e	NOUN
cana-3495	172	90	reviews	review	NOUN
cana-3495	172	91	set	set	VERB
cana-3495	172	92	cnnbert	cnnbert	PROPN
cana-3495	172	93	hybrid	hybrid	VERB
cana-3495	172	94	87.4	87.4	NUM
cana-3495	172	95	85.2	85.2	NUM
cana-3495	172	96	86.8	86.8	NUM
cana-3495	172	97	86.0	86.0	NUM
cana-3495	172	98	135	135	NUM
cana-3495	172	99	neutral	neutral	ADJ
cana-3495	172	100	sentime	sentime	NOUN
cana-3495	172	101	nt	nt	ADP
cana-3495	172	102	classificati	classificati	NOUN
cana-3495	172	103	on	on	ADP
cana-3495	172	104	of	of	ADP
cana-3495	172	105	neutral	neutral	ADJ
cana-3495	172	106	emotions	emotion	NOUN
cana-3495	172	107	ecommerc	ecommerc	NOUN
cana-3495	172	108	e	e	NOUN
cana-3495	172	109	reviews	review	NOUN
cana-3495	172	110	set	set	VERB
cana-3495	172	111	standard	standard	ADJ
cana-3495	172	112	cnn	cnn	PROPN
cana-3495	172	113	84.0	84.0	NUM
cana-3495	172	114	82.1	82.1	NUM
cana-3495	172	115	83.5	83.5	NUM
cana-3495	172	116	82.8	82.8	NUM
cana-3495	172	117	110	110	NUM
cana-3495	172	118	multiemotion	multiemotion	NOUN
cana-3495	172	119	detectio	detectio	NOUN
cana-3495	172	120	n	n	DET
cana-3495	172	121	accuracy	accuracy	NOUN
cana-3495	172	122	across	across	ADP
cana-3495	172	123	all	all	DET
cana-3495	172	124	emotion	emotion	NOUN
cana-3495	172	125	categories	category	NOUN
cana-3495	173	1	ecommerc	ecommerc	NOUN
cana-3495	173	2	e	e	PROPN
cana-3495	173	3	reviews	review	NOUN
cana-3495	173	4	set	set	VERB
cana-3495	173	5	cnntransforme	cnntransforme	NOUN
cana-3495	173	6	r	r	NOUN
cana-3495	173	7	hybrid	hybrid	NOUN
cana-3495	173	8	88.5	88.5	NUM
cana-3495	173	9	87.0	87.0	NUM
cana-3495	173	10	88.2	88.2	NUM
cana-3495	173	11	87.6	87.6	NUM
cana-3495	173	12	140	140	NUM
cana-3495	173	13	realtime	realtime	NOUN
cana-3495	173	14	analysis	analysis	NOUN
cana-3495	173	15	performanc	performanc	NOUN
cana-3495	173	16	e	e	NOUN
cana-3495	173	17	on	on	ADP
cana-3495	173	18	realtime	realtime	ADJ
cana-3495	173	19	customer	customer	NOUN
cana-3495	173	20	feedback	feedback	NOUN
cana-3495	173	21	realtime	realtime	NOUN
cana-3495	173	22	data	datum	NOUN
cana-3495	173	23	stream	stream	NOUN
cana-3495	173	24	optimized	optimize	VERB
cana-3495	173	25	cnn	cnn	PROPN
cana-3495	173	26	85.2	85.2	NUM
cana-3495	173	27	84.7	84.7	NUM
cana-3495	173	28	85.0	85.0	NUM
cana-3495	173	29	84.9	84.9	NUM
cana-3495	173	30	90	90	NUM
cana-3495	173	31	communications	communication	NOUN
cana-3495	173	32	on	on	ADP
cana-3495	173	33	applied	apply	VERB
cana-3495	173	34	nonlinear	nonlinear	ADJ
cana-3495	173	35	analysis	analysis	NOUN
cana-3495	173	36	issn	issn	NOUN
cana-3495	173	37	:	:	PUNCT
cana-3495	173	38	1074	1074	NUM
cana-3495	173	39	-	-	PUNCT
cana-3495	173	40	133x	133x	NUM
cana-3495	173	41	vol	vol	NOUN
cana-3495	173	42	32	32	NUM
cana-3495	173	43	no	no	NOUN
cana-3495	173	44	.	.	PUNCT
cana-3495	174	1	7s	7	NOUN
cana-3495	174	2	(	(	PUNCT
cana-3495	174	3	2025	2025	NUM
cana-3495	174	4	)	)	PUNCT
cana-3495	174	5	916	916	NUM
cana-3495	174	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3495	174	7	fig.1	fig.1	PROPN
cana-3495	174	8	:	:	PUNCT
cana-3495	174	9	model	model	NOUN
cana-3495	174	10	performance	performance	NOUN
cana-3495	174	11	by	by	ADP
cana-3495	174	12	emotion	emotion	NOUN
cana-3495	174	13	category	category	NOUN
cana-3495	174	14	a	a	DET
cana-3495	174	15	bar	bar	NOUN
cana-3495	174	16	chart	chart	NOUN
cana-3495	174	17	showing	show	VERB
cana-3495	174	18	the	the	DET
cana-3495	174	19	performance	performance	NOUN
cana-3495	174	20	(	(	PUNCT
cana-3495	174	21	accuracy	accuracy	NOUN
cana-3495	174	22	,	,	PUNCT
cana-3495	174	23	precision	precision	NOUN
cana-3495	174	24	,	,	PUNCT
cana-3495	174	25	recall	recall	NOUN
cana-3495	174	26	,	,	PUNCT
cana-3495	174	27	f1	f1	NOUN
cana-3495	174	28	-	-	PUNCT
cana-3495	174	29	score	score	NOUN
cana-3495	174	30	)	)	PUNCT
cana-3495	174	31	of	of	ADP
cana-3495	174	32	the	the	DET
cana-3495	174	33	cnn	cnn	PROPN
cana-3495	174	34	model	model	NOUN
cana-3495	174	35	for	for	ADP
cana-3495	174	36	each	each	DET
cana-3495	174	37	emotion	emotion	NOUN
cana-3495	174	38	category	category	NOUN
cana-3495	174	39	(	(	PUNCT
cana-3495	174	40	e.g.	e.g.	ADV
cana-3495	174	41	,	,	PUNCT
cana-3495	174	42	positive	positive	ADJ
cana-3495	174	43	,	,	PUNCT
cana-3495	174	44	negative	negative	ADJ
cana-3495	174	45	,	,	PUNCT
cana-3495	174	46	neutral	neutral	ADJ
cana-3495	174	47	,	,	PUNCT
cana-3495	174	48	surprise	surprise	NOUN
cana-3495	174	49	,	,	PUNCT
cana-3495	174	50	anger	anger	NOUN
cana-3495	174	51	)	)	PUNCT
cana-3495	174	52	.	.	PUNCT
cana-3495	175	1	fig.2	fig.2	NOUN
cana-3495	175	2	:	:	PUNCT
cana-3495	175	3	confusion	confusion	NOUN
cana-3495	175	4	matrix	matrix	NOUN
cana-3495	175	5	visualization	visualization	NOUN
cana-3495	175	6	a	a	DET
cana-3495	175	7	heatmap	heatmap	NOUN
cana-3495	175	8	of	of	ADP
cana-3495	175	9	the	the	DET
cana-3495	175	10	confusion	confusion	NOUN
cana-3495	175	11	matrix	matrix	NOUN
cana-3495	175	12	,	,	PUNCT
cana-3495	175	13	showing	show	VERB
cana-3495	175	14	true	true	ADJ
cana-3495	175	15	positive	positive	ADJ
cana-3495	175	16	,	,	PUNCT
cana-3495	175	17	false	false	ADJ
cana-3495	175	18	positive	positive	ADJ
cana-3495	175	19	,	,	PUNCT
cana-3495	175	20	false	false	ADJ
cana-3495	175	21	negative	negative	ADJ
cana-3495	175	22	,	,	PUNCT
cana-3495	175	23	and	and	CCONJ
cana-3495	175	24	true	true	ADJ
cana-3495	175	25	negative	negative	ADJ
cana-3495	175	26	rates	rate	NOUN
cana-3495	175	27	for	for	ADP
cana-3495	175	28	each	each	DET
cana-3495	175	29	emotion	emotion	NOUN
cana-3495	175	30	class	class	NOUN
cana-3495	175	31	.	.	PUNCT
cana-3495	176	1	fig.3	fig.3	ADJ
cana-3495	176	2	:	:	PUNCT
cana-3495	176	3	training	training	NOUN
cana-3495	176	4	and	and	CCONJ
cana-3495	176	5	validation	validation	NOUN
cana-3495	176	6	accuracy	accuracy	NOUN
cana-3495	176	7	over	over	ADP
cana-3495	176	8	epochs	epoch	NOUN
cana-3495	176	9	a	a	DET
cana-3495	176	10	line	line	NOUN
cana-3495	176	11	chart	chart	NOUN
cana-3495	176	12	depicting	depict	VERB
cana-3495	176	13	the	the	DET
cana-3495	176	14	training	training	NOUN
cana-3495	176	15	and	and	CCONJ
cana-3495	176	16	validation	validation	NOUN
cana-3495	176	17	accuracy	accuracy	NOUN
cana-3495	176	18	over	over	ADP
cana-3495	176	19	epochs	epoch	NOUN
cana-3495	176	20	to	to	PART
cana-3495	176	21	demonstrate	demonstrate	VERB
cana-3495	176	22	how	how	SCONJ
cana-3495	176	23	the	the	DET
cana-3495	176	24	cnn	cnn	PROPN
cana-3495	176	25	model	model	NOUN
cana-3495	176	26	converges	converge	VERB
cana-3495	176	27	during	during	ADP
cana-3495	176	28	training	training	NOUN
cana-3495	176	29	.	.	PUNCT
cana-3495	177	1	communications	communication	NOUN
cana-3495	177	2	on	on	ADP
cana-3495	177	3	applied	apply	VERB
cana-3495	177	4	nonlinear	nonlinear	ADJ
cana-3495	177	5	analysis	analysis	NOUN
cana-3495	177	6	issn	issn	NOUN
cana-3495	177	7	:	:	PUNCT
cana-3495	177	8	1074	1074	NUM
cana-3495	177	9	-	-	PUNCT
cana-3495	177	10	133x	133x	NUM
cana-3495	177	11	vol	vol	NOUN
cana-3495	177	12	32	32	NUM
cana-3495	177	13	no	no	NOUN
cana-3495	177	14	.	.	PUNCT
cana-3495	178	1	7s	7	NOUN
cana-3495	178	2	(	(	PUNCT
cana-3495	178	3	2025	2025	NUM
cana-3495	178	4	)	)	PUNCT
cana-3495	178	5	917	917	NUM
cana-3495	178	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3495	178	7	fig.4	fig.4	PROPN
cana-3495	178	8	:	:	PUNCT
cana-3495	178	9	impact	impact	NOUN
cana-3495	178	10	of	of	ADP
cana-3495	178	11	dataset	dataset	ADJ
cana-3495	178	12	size	size	NOUN
cana-3495	178	13	on	on	ADP
cana-3495	178	14	model	model	NOUN
cana-3495	178	15	performance	performance	NOUN
cana-3495	178	16	a	a	DET
cana-3495	178	17	scatter	scatter	NOUN
cana-3495	178	18	plot	plot	NOUN
cana-3495	178	19	showing	show	VERB
cana-3495	178	20	how	how	SCONJ
cana-3495	178	21	the	the	DET
cana-3495	178	22	model	model	NOUN
cana-3495	178	23	's	's	PART
cana-3495	178	24	accuracy	accuracy	NOUN
cana-3495	178	25	and	and	CCONJ
cana-3495	178	26	f1	f1	NOUN
cana-3495	178	27	-	-	PUNCT
cana-3495	178	28	score	score	NOUN
cana-3495	178	29	vary	vary	VERB
cana-3495	178	30	with	with	ADP
cana-3495	178	31	the	the	DET
cana-3495	178	32	size	size	NOUN
cana-3495	178	33	of	of	ADP
cana-3495	178	34	the	the	DET
cana-3495	178	35	training	training	NOUN
cana-3495	178	36	dataset	dataset	NOUN
cana-3495	178	37	.	.	PUNCT
cana-3495	179	1	fig.5	fig.5	NOUN
cana-3495	179	2	:	:	PUNCT
cana-3495	179	3	real	real	ADJ
cana-3495	179	4	-	-	PUNCT
cana-3495	179	5	time	time	NOUN
cana-3495	179	6	vs.	vs.	ADP
cana-3495	179	7	batch	batch	NOUN
cana-3495	179	8	sentiment	sentiment	NOUN
cana-3495	179	9	analysis	analysis	NOUN
cana-3495	179	10	performance	performance	NOUN
cana-3495	179	11	a	a	DET
cana-3495	179	12	comparative	comparative	ADJ
cana-3495	179	13	bar	bar	NOUN
cana-3495	179	14	chart	chart	NOUN
cana-3495	179	15	to	to	PART
cana-3495	179	16	display	display	VERB
cana-3495	179	17	the	the	DET
cana-3495	179	18	processing	processing	NOUN
cana-3495	179	19	time	time	NOUN
cana-3495	179	20	and	and	CCONJ
cana-3495	179	21	accuracy	accuracy	NOUN
cana-3495	179	22	of	of	ADP
cana-3495	179	23	the	the	DET
cana-3495	179	24	cnn	cnn	PROPN
cana-3495	179	25	model	model	NOUN
cana-3495	179	26	for	for	ADP
cana-3495	179	27	real	real	ADJ
cana-3495	179	28	-	-	PUNCT
cana-3495	179	29	time	time	NOUN
cana-3495	179	30	vs.	vs.	ADP
cana-3495	179	31	batch	batch	NOUN
cana-3495	179	32	-	-	PUNCT
cana-3495	179	33	mode	mode	NOUN
cana-3495	179	34	sentiment	sentiment	NOUN
cana-3495	179	35	analysis	analysis	NOUN
cana-3495	179	36	.	.	PUNCT
cana-3495	180	1	fig.6	fig.6	PROPN
cana-3495	180	2	:	:	PUNCT
cana-3495	180	3	emotion	emotion	NOUN
cana-3495	180	4	distribution	distribution	NOUN
cana-3495	180	5	in	in	ADP
cana-3495	180	6	e	e	NOUN
cana-3495	180	7	-	-	NOUN
cana-3495	180	8	commerce	commerce	NOUN
cana-3495	180	9	reviews	review	VERB
cana-3495	180	10	a	a	DET
cana-3495	180	11	pie	pie	NOUN
cana-3495	180	12	chart	chart	NOUN
cana-3495	180	13	representing	represent	VERB
cana-3495	180	14	the	the	DET
cana-3495	180	15	proportion	proportion	NOUN
cana-3495	180	16	of	of	ADP
cana-3495	180	17	different	different	ADJ
cana-3495	180	18	emotions	emotion	NOUN
cana-3495	180	19	detected	detect	VERB
cana-3495	180	20	in	in	ADP
cana-3495	180	21	the	the	DET
cana-3495	180	22	dataset	dataset	NOUN
cana-3495	180	23	(	(	PUNCT
cana-3495	180	24	e.g.	e.g.	ADV
cana-3495	180	25	,	,	PUNCT
cana-3495	180	26	positive	positive	ADJ
cana-3495	180	27	:	:	PUNCT
cana-3495	180	28	40	40	NUM
cana-3495	180	29	%	%	NOUN
cana-3495	180	30	,	,	PUNCT
cana-3495	180	31	negative	negative	ADJ
cana-3495	180	32	:	:	PUNCT
cana-3495	180	33	30	30	NUM
cana-3495	180	34	%	%	NOUN
cana-3495	180	35	,	,	PUNCT
cana-3495	180	36	neutral	neutral	ADJ
cana-3495	180	37	:	:	PUNCT
cana-3495	180	38	20	20	NUM
cana-3495	180	39	%	%	NOUN
cana-3495	180	40	,	,	PUNCT
cana-3495	180	41	surprise	surprise	NOUN
cana-3495	180	42	:	:	PUNCT
cana-3495	180	43	5	5	NUM
cana-3495	180	44	%	%	NOUN
cana-3495	180	45	,	,	PUNCT
cana-3495	180	46	anger	anger	NOUN
cana-3495	180	47	:	:	PUNCT
cana-3495	180	48	5	5	NUM
cana-3495	180	49	%	%	NOUN
cana-3495	180	50	)	)	PUNCT
cana-3495	180	51	.	.	PUNCT
cana-3495	181	1	future	future	ADJ
cana-3495	181	2	scope	scope	NOUN
cana-3495	181	3	1	1	NUM
cana-3495	181	4	.	.	PUNCT
cana-3495	181	5	integration	integration	NOUN
cana-3495	181	6	with	with	ADP
cana-3495	181	7	advanced	advanced	ADJ
cana-3495	181	8	deep	deep	ADJ
cana-3495	181	9	learning	learning	NOUN
cana-3495	181	10	models	model	NOUN
cana-3495	181	11	:	:	PUNCT
cana-3495	181	12	future	future	ADJ
cana-3495	181	13	research	research	NOUN
cana-3495	181	14	can	can	AUX
cana-3495	181	15	explore	explore	VERB
cana-3495	181	16	the	the	DET
cana-3495	181	17	integration	integration	NOUN
cana-3495	181	18	of	of	ADP
cana-3495	181	19	cnns	cnns	PROPN
cana-3495	181	20	with	with	ADP
cana-3495	181	21	transformer	transformer	NOUN
cana-3495	181	22	-	-	PUNCT
cana-3495	181	23	based	base	VERB
cana-3495	181	24	architectures	architecture	NOUN
cana-3495	181	25	like	like	ADP
cana-3495	181	26	bert	bert	PROPN
cana-3495	181	27	,	,	PUNCT
cana-3495	181	28	gpt	gpt	NOUN
cana-3495	181	29	,	,	PUNCT
cana-3495	181	30	or	or	CCONJ
cana-3495	181	31	t5	t5	PROPN
cana-3495	181	32	to	to	PART
cana-3495	181	33	enhance	enhance	VERB
cana-3495	181	34	contextual	contextual	ADJ
cana-3495	181	35	understanding	understanding	NOUN
cana-3495	181	36	in	in	ADP
cana-3495	181	37	sentiment	sentiment	NOUN
cana-3495	181	38	analysis	analysis	NOUN
cana-3495	181	39	.	.	PUNCT
cana-3495	182	1	these	these	DET
cana-3495	182	2	hybrid	hybrid	NOUN
cana-3495	182	3	models	model	NOUN
cana-3495	182	4	can	can	AUX
cana-3495	182	5	significantly	significantly	ADV
cana-3495	182	6	improve	improve	VERB
cana-3495	182	7	the	the	DET
cana-3495	182	8	accuracy	accuracy	NOUN
cana-3495	182	9	of	of	ADP
cana-3495	182	10	emotion	emotion	NOUN
cana-3495	182	11	classification	classification	NOUN
cana-3495	182	12	in	in	ADP
cana-3495	182	13	e	e	PROPN
cana-3495	182	14	-	-	NOUN
cana-3495	182	15	commerce	commerce	NOUN
cana-3495	182	16	data	datum	NOUN
cana-3495	182	17	.	.	PUNCT
cana-3495	183	1	communications	communication	NOUN
cana-3495	183	2	on	on	ADP
cana-3495	183	3	applied	apply	VERB
cana-3495	183	4	nonlinear	nonlinear	ADJ
cana-3495	183	5	analysis	analysis	NOUN
cana-3495	183	6	issn	issn	NOUN
cana-3495	183	7	:	:	PUNCT
cana-3495	183	8	1074	1074	NUM
cana-3495	183	9	-	-	PUNCT
cana-3495	183	10	133x	133x	NUM
cana-3495	183	11	vol	vol	NOUN
cana-3495	183	12	32	32	NUM
cana-3495	183	13	no	no	NOUN
cana-3495	183	14	.	.	PUNCT
cana-3495	184	1	7s	7	NOUN
cana-3495	184	2	(	(	PUNCT
cana-3495	184	3	2025	2025	NUM
cana-3495	184	4	)	)	PUNCT
cana-3495	184	5	918	918	NUM
cana-3495	185	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3495	185	2	2	2	X
cana-3495	185	3	.	.	PUNCT
cana-3495	185	4	multimodal	multimodal	ADJ
cana-3495	185	5	emotion	emotion	NOUN
cana-3495	185	6	analysis	analysis	NOUN
cana-3495	185	7	:	:	PUNCT
cana-3495	185	8	expanding	expand	VERB
cana-3495	185	9	beyond	beyond	ADP
cana-3495	185	10	text	text	NOUN
cana-3495	185	11	,	,	PUNCT
cana-3495	185	12	future	future	ADJ
cana-3495	185	13	systems	system	NOUN
cana-3495	185	14	can	can	AUX
cana-3495	185	15	include	include	VERB
cana-3495	185	16	image	image	NOUN
cana-3495	185	17	and	and	CCONJ
cana-3495	185	18	video	video	NOUN
cana-3495	185	19	data	datum	NOUN
cana-3495	185	20	(	(	PUNCT
cana-3495	185	21	e.g.	e.g.	ADV
cana-3495	185	22	,	,	PUNCT
cana-3495	185	23	product	product	NOUN
cana-3495	185	24	unboxing	unbox	VERB
cana-3495	185	25	videos	video	NOUN
cana-3495	185	26	or	or	CCONJ
cana-3495	185	27	user	user	NOUN
cana-3495	185	28	-	-	PUNCT
cana-3495	185	29	generated	generate	VERB
cana-3495	185	30	content	content	NOUN
cana-3495	185	31	)	)	PUNCT
cana-3495	185	32	.	.	PUNCT
cana-3495	186	1	this	this	DET
cana-3495	186	2	multimodal	multimodal	NOUN
cana-3495	186	3	approach	approach	NOUN
cana-3495	186	4	will	will	AUX
cana-3495	186	5	enable	enable	VERB
cana-3495	186	6	a	a	DET
cana-3495	186	7	more	more	ADV
cana-3495	186	8	comprehensive	comprehensive	ADJ
cana-3495	186	9	understanding	understanding	NOUN
cana-3495	186	10	of	of	ADP
cana-3495	186	11	customer	customer	NOUN
cana-3495	186	12	emotions	emotion	NOUN
cana-3495	186	13	.	.	PUNCT
cana-3495	187	1	3	3	X
cana-3495	187	2	.	.	X
cana-3495	187	3	cross	cross	NOUN
cana-3495	187	4	-	-	ADJ
cana-3495	187	5	lingual	lingual	ADJ
cana-3495	187	6	and	and	CCONJ
cana-3495	187	7	cultural	cultural	ADJ
cana-3495	187	8	adaptation	adaptation	NOUN
cana-3495	187	9	:	:	PUNCT
cana-3495	187	10	with	with	ADP
cana-3495	187	11	the	the	DET
cana-3495	187	12	globalization	globalization	NOUN
cana-3495	187	13	of	of	ADP
cana-3495	187	14	e	e	PROPN
cana-3495	187	15	-	-	NOUN
cana-3495	187	16	commerce	commerce	NOUN
cana-3495	187	17	,	,	PUNCT
cana-3495	187	18	models	model	NOUN
cana-3495	187	19	must	must	AUX
cana-3495	187	20	adapt	adapt	VERB
cana-3495	187	21	to	to	ADP
cana-3495	187	22	various	various	ADJ
cana-3495	187	23	languages	language	NOUN
cana-3495	187	24	and	and	CCONJ
cana-3495	187	25	cultural	cultural	ADJ
cana-3495	187	26	nuances	nuance	NOUN
cana-3495	187	27	.	.	PUNCT
cana-3495	188	1	future	future	ADJ
cana-3495	188	2	work	work	NOUN
cana-3495	188	3	can	can	AUX
cana-3495	188	4	focus	focus	VERB
cana-3495	188	5	on	on	ADP
cana-3495	188	6	developing	develop	VERB
cana-3495	188	7	universal	universal	ADJ
cana-3495	188	8	multilingual	multilingual	ADJ
cana-3495	188	9	models	model	NOUN
cana-3495	188	10	to	to	PART
cana-3495	188	11	classify	classify	VERB
cana-3495	188	12	emotions	emotion	NOUN
cana-3495	188	13	effectively	effectively	ADV
cana-3495	188	14	across	across	ADP
cana-3495	188	15	diverse	diverse	ADJ
cana-3495	188	16	demographics	demographic	NOUN
cana-3495	188	17	.	.	PUNCT
cana-3495	189	1	4	4	X
cana-3495	189	2	.	.	X
cana-3495	189	3	real	real	ADJ
cana-3495	189	4	-	-	PUNCT
cana-3495	189	5	time	time	NOUN
cana-3495	189	6	applications	application	NOUN
cana-3495	189	7	:	:	PUNCT
cana-3495	189	8	the	the	DET
cana-3495	189	9	paper	paper	NOUN
cana-3495	189	10	highlights	highlight	VERB
cana-3495	189	11	the	the	DET
cana-3495	189	12	potential	potential	NOUN
cana-3495	189	13	for	for	ADP
cana-3495	189	14	real	real	ADJ
cana-3495	189	15	-	-	PUNCT
cana-3495	189	16	time	time	NOUN
cana-3495	189	17	emotion	emotion	NOUN
cana-3495	189	18	monitoring	monitoring	NOUN
cana-3495	189	19	.	.	PUNCT
cana-3495	190	1	future	future	ADJ
cana-3495	190	2	systems	system	NOUN
cana-3495	190	3	could	could	AUX
cana-3495	190	4	incorporate	incorporate	VERB
cana-3495	190	5	this	this	DET
cana-3495	190	6	capability	capability	NOUN
cana-3495	190	7	into	into	ADP
cana-3495	190	8	customer	customer	NOUN
cana-3495	190	9	service	service	NOUN
cana-3495	190	10	chatbots	chatbot	NOUN
cana-3495	190	11	,	,	PUNCT
cana-3495	190	12	real	real	ADJ
cana-3495	190	13	-	-	PUNCT
cana-3495	190	14	time	time	NOUN
cana-3495	190	15	feedback	feedback	NOUN
cana-3495	190	16	systems	system	NOUN
cana-3495	190	17	,	,	PUNCT
cana-3495	190	18	and	and	CCONJ
cana-3495	190	19	livestream	livestream	NOUN
cana-3495	190	20	product	product	NOUN
cana-3495	190	21	launches	launch	VERB
cana-3495	190	22	.	.	PUNCT
cana-3495	191	1	5	5	X
cana-3495	191	2	.	.	X
cana-3495	191	3	personalized	personalized	ADJ
cana-3495	191	4	marketing	marketing	NOUN
cana-3495	191	5	:	:	PUNCT
cana-3495	191	6	by	by	ADP
cana-3495	191	7	leveraging	leverage	VERB
cana-3495	191	8	customer	customer	NOUN
cana-3495	191	9	emotion	emotion	NOUN
cana-3495	191	10	data	datum	NOUN
cana-3495	191	11	,	,	PUNCT
cana-3495	191	12	businesses	business	NOUN
cana-3495	191	13	can	can	AUX
cana-3495	191	14	create	create	VERB
cana-3495	191	15	hyper	hyper	ADJ
cana-3495	191	16	-	-	ADJ
cana-3495	191	17	personalized	personalized	ADJ
cana-3495	191	18	marketing	marketing	NOUN
cana-3495	191	19	campaigns	campaign	NOUN
cana-3495	191	20	tailored	tailor	VERB
cana-3495	191	21	to	to	ADP
cana-3495	191	22	individual	individual	ADJ
cana-3495	191	23	emotional	emotional	ADJ
cana-3495	191	24	states	state	NOUN
cana-3495	191	25	,	,	PUNCT
cana-3495	191	26	driving	drive	VERB
cana-3495	191	27	higher	high	ADJ
cana-3495	191	28	engagement	engagement	NOUN
cana-3495	191	29	and	and	CCONJ
cana-3495	191	30	conversions	conversion	NOUN
cana-3495	191	31	.	.	PUNCT
cana-3495	192	1	6	6	X
cana-3495	192	2	.	.	X
cana-3495	192	3	ethical	ethical	ADJ
cana-3495	192	4	and	and	CCONJ
cana-3495	192	5	privacy	privacy	NOUN
cana-3495	192	6	-	-	PUNCT
cana-3495	192	7	compliant	compliant	NOUN
cana-3495	192	8	ai	ai	NOUN
cana-3495	192	9	systems	system	NOUN
cana-3495	192	10	:	:	PUNCT
cana-3495	192	11	future	future	ADJ
cana-3495	192	12	research	research	NOUN
cana-3495	192	13	should	should	AUX
cana-3495	192	14	address	address	VERB
cana-3495	192	15	ethical	ethical	ADJ
cana-3495	192	16	concerns	concern	NOUN
cana-3495	192	17	surrounding	surround	VERB
cana-3495	192	18	data	datum	NOUN
cana-3495	192	19	usage	usage	NOUN
cana-3495	192	20	by	by	ADP
cana-3495	192	21	implementing	implement	VERB
cana-3495	192	22	privacypreserving	privacypreserve	VERB
cana-3495	192	23	sentiment	sentiment	NOUN
cana-3495	192	24	analysis	analysis	NOUN
cana-3495	192	25	methods	method	NOUN
cana-3495	192	26	such	such	ADJ
cana-3495	192	27	as	as	ADP
cana-3495	192	28	federated	federated	ADJ
cana-3495	192	29	learning	learning	NOUN
cana-3495	192	30	and	and	CCONJ
cana-3495	192	31	differential	differential	PROPN
cana-3495	192	32	privacy	privacy	NOUN
cana-3495	192	33	.	.	PUNCT
cana-3495	193	1	7	7	X
cana-3495	193	2	.	.	X
cana-3495	193	3	emotion	emotion	NOUN
cana-3495	193	4	forecasting	forecasting	NOUN
cana-3495	193	5	models	model	NOUN
cana-3495	193	6	:	:	PUNCT
cana-3495	193	7	predicting	predict	VERB
cana-3495	193	8	customer	customer	NOUN
cana-3495	193	9	emotions	emotion	NOUN
cana-3495	193	10	over	over	ADP
cana-3495	193	11	time	time	NOUN
cana-3495	193	12	using	use	VERB
cana-3495	193	13	temporal	temporal	ADJ
cana-3495	193	14	data	datum	NOUN
cana-3495	193	15	can	can	AUX
cana-3495	193	16	enable	enable	VERB
cana-3495	193	17	e	e	NOUN
cana-3495	193	18	-	-	ADJ
cana-3495	193	19	commerce	commerce	NOUN
cana-3495	193	20	platforms	platform	NOUN
cana-3495	193	21	to	to	PART
cana-3495	193	22	proactively	proactively	ADV
cana-3495	193	23	manage	manage	VERB
cana-3495	193	24	customer	customer	NOUN
cana-3495	193	25	satisfaction	satisfaction	NOUN
cana-3495	193	26	and	and	CCONJ
cana-3495	193	27	loyalty	loyalty	NOUN
cana-3495	193	28	.	.	PUNCT
cana-3495	194	1	recommendations	recommendation	NOUN
cana-3495	194	2	1	1	NUM
cana-3495	194	3	.	.	PUNCT
cana-3495	194	4	use	use	VERB
cana-3495	194	5	domain	domain	NOUN
cana-3495	194	6	-	-	PUNCT
cana-3495	194	7	specific	specific	ADJ
cana-3495	194	8	datasets	dataset	NOUN
cana-3495	194	9	:	:	PUNCT
cana-3495	194	10	ensure	ensure	VERB
cana-3495	194	11	training	training	NOUN
cana-3495	194	12	datasets	dataset	NOUN
cana-3495	194	13	are	be	AUX
cana-3495	194	14	tailored	tailor	VERB
cana-3495	194	15	to	to	ADP
cana-3495	194	16	the	the	DET
cana-3495	194	17	e	e	NOUN
cana-3495	194	18	-	-	NOUN
cana-3495	194	19	commerce	commerce	NOUN
cana-3495	194	20	domain	domain	NOUN
cana-3495	194	21	,	,	PUNCT
cana-3495	194	22	capturing	capture	VERB
cana-3495	194	23	diverse	diverse	ADJ
cana-3495	194	24	customer	customer	NOUN
cana-3495	194	25	feedback	feedback	NOUN
cana-3495	194	26	to	to	PART
cana-3495	194	27	improve	improve	VERB
cana-3495	194	28	model	model	NOUN
cana-3495	194	29	generalization	generalization	NOUN
cana-3495	194	30	and	and	CCONJ
cana-3495	194	31	accuracy	accuracy	NOUN
cana-3495	194	32	.	.	PUNCT
cana-3495	195	1	2	2	X
cana-3495	195	2	.	.	AUX
cana-3495	195	3	adopt	adopt	VERB
cana-3495	195	4	hybrid	hybrid	ADJ
cana-3495	195	5	architectures	architecture	NOUN
cana-3495	195	6	:	:	PUNCT
cana-3495	195	7	combine	combine	NOUN
cana-3495	195	8	cnns	cnn	NOUN
cana-3495	195	9	with	with	ADP
cana-3495	195	10	advanced	advanced	ADJ
cana-3495	195	11	models	model	NOUN
cana-3495	195	12	like	like	ADP
cana-3495	195	13	lstms	lstms	ADJ
cana-3495	195	14	,	,	PUNCT
cana-3495	195	15	attention	attention	NOUN
cana-3495	195	16	mechanisms	mechanism	NOUN
cana-3495	195	17	,	,	PUNCT
cana-3495	195	18	or	or	CCONJ
cana-3495	195	19	transformers	transformer	NOUN
cana-3495	195	20	for	for	ADP
cana-3495	195	21	better	well	ADJ
cana-3495	195	22	performance	performance	NOUN
cana-3495	195	23	in	in	ADP
cana-3495	195	24	detecting	detect	VERB
cana-3495	195	25	nuanced	nuanced	ADJ
cana-3495	195	26	emotions	emotion	NOUN
cana-3495	195	27	.	.	PUNCT
cana-3495	196	1	3	3	X
cana-3495	196	2	.	.	X
cana-3495	196	3	focus	focus	VERB
cana-3495	196	4	on	on	ADP
cana-3495	196	5	preprocessing	preprocesse	VERB
cana-3495	196	6	pipelines	pipeline	NOUN
cana-3495	196	7	:	:	PUNCT
cana-3495	196	8	implement	implement	VERB
cana-3495	196	9	robust	robust	ADJ
cana-3495	196	10	preprocessing	preprocessing	NOUN
cana-3495	196	11	steps	step	NOUN
cana-3495	196	12	,	,	PUNCT
cana-3495	196	13	including	include	VERB
cana-3495	196	14	handling	handle	VERB
cana-3495	196	15	noise	noise	NOUN
cana-3495	196	16	,	,	PUNCT
cana-3495	196	17	slang	slang	PROPN
cana-3495	196	18	,	,	PUNCT
cana-3495	196	19	and	and	CCONJ
cana-3495	196	20	emojis	emoji	NOUN
cana-3495	196	21	,	,	PUNCT
cana-3495	196	22	to	to	PART
cana-3495	196	23	improve	improve	VERB
cana-3495	196	24	data	datum	NOUN
cana-3495	196	25	quality	quality	NOUN
cana-3495	196	26	and	and	CCONJ
cana-3495	196	27	model	model	NOUN
cana-3495	196	28	effectiveness	effectiveness	NOUN
cana-3495	196	29	.	.	PUNCT
cana-3495	197	1	4	4	X
cana-3495	197	2	.	.	X
cana-3495	197	3	optimize	optimize	NOUN
cana-3495	197	4	for	for	ADP
cana-3495	197	5	scalability	scalability	NOUN
cana-3495	197	6	:	:	PUNCT
cana-3495	197	7	design	design	NOUN
cana-3495	197	8	lightweight	lightweight	NOUN
cana-3495	197	9	and	and	CCONJ
cana-3495	197	10	efficient	efficient	ADJ
cana-3495	197	11	cnn	cnn	PROPN
cana-3495	197	12	models	model	NOUN
cana-3495	197	13	that	that	PRON
cana-3495	197	14	can	can	AUX
cana-3495	197	15	handle	handle	VERB
cana-3495	197	16	the	the	DET
cana-3495	197	17	massive	massive	ADJ
cana-3495	197	18	influx	influx	NOUN
cana-3495	197	19	of	of	ADP
cana-3495	197	20	real	real	ADJ
cana-3495	197	21	-	-	PUNCT
cana-3495	197	22	time	time	NOUN
cana-3495	197	23	customer	customer	NOUN
cana-3495	197	24	data	datum	NOUN
cana-3495	197	25	without	without	ADP
cana-3495	197	26	compromising	compromise	VERB
cana-3495	197	27	performance	performance	NOUN
cana-3495	197	28	.	.	PUNCT
cana-3495	198	1	5	5	X
cana-3495	198	2	.	.	X
cana-3495	198	3	continuous	continuous	ADJ
cana-3495	198	4	model	model	NOUN
cana-3495	198	5	updates	update	VERB
cana-3495	198	6	:	:	PUNCT
cana-3495	198	7	regularly	regularly	ADV
cana-3495	198	8	update	update	VERB
cana-3495	198	9	and	and	CCONJ
cana-3495	198	10	retrain	retrain	NOUN
cana-3495	198	11	models	model	NOUN
cana-3495	198	12	to	to	PART
cana-3495	198	13	adapt	adapt	VERB
cana-3495	198	14	to	to	ADP
cana-3495	198	15	evolving	evolve	VERB
cana-3495	198	16	customer	customer	NOUN
cana-3495	198	17	language	language	NOUN
cana-3495	198	18	trends	trend	NOUN
cana-3495	198	19	and	and	CCONJ
cana-3495	198	20	changing	change	VERB
cana-3495	198	21	product	product	NOUN
cana-3495	198	22	review	review	NOUN
cana-3495	198	23	patterns	pattern	NOUN
cana-3495	198	24	.	.	PUNCT
cana-3495	199	1	communications	communication	NOUN
cana-3495	199	2	on	on	ADP
cana-3495	199	3	applied	apply	VERB
cana-3495	199	4	nonlinear	nonlinear	ADJ
cana-3495	199	5	analysis	analysis	NOUN
cana-3495	199	6	issn	issn	NOUN
cana-3495	199	7	:	:	PUNCT
cana-3495	199	8	1074	1074	NUM
cana-3495	199	9	-	-	PUNCT
cana-3495	199	10	133x	133x	NUM
cana-3495	199	11	vol	vol	NOUN
cana-3495	199	12	32	32	NUM
cana-3495	199	13	no	no	NOUN
cana-3495	199	14	.	.	PUNCT
cana-3495	200	1	7s	7	NOUN
cana-3495	200	2	(	(	PUNCT
cana-3495	200	3	2025	2025	NUM
cana-3495	200	4	)	)	PUNCT
cana-3495	200	5	919	919	NUM
cana-3495	200	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3495	200	7	6	6	NUM
cana-3495	200	8	.	.	PUNCT
cana-3495	200	9	enhance	enhance	VERB
cana-3495	200	10	interpretability	interpretability	NOUN
cana-3495	200	11	:	:	PUNCT
cana-3495	200	12	develop	develop	VERB
cana-3495	200	13	explainable	explainable	ADJ
cana-3495	200	14	ai	ai	NOUN
cana-3495	200	15	methods	method	NOUN
cana-3495	200	16	to	to	PART
cana-3495	200	17	make	make	VERB
cana-3495	200	18	cnn	cnn	PROPN
cana-3495	200	19	-	-	PUNCT
cana-3495	200	20	based	base	VERB
cana-3495	200	21	emotion	emotion	NOUN
cana-3495	200	22	classification	classification	NOUN
cana-3495	200	23	models	model	NOUN
cana-3495	200	24	more	more	ADV
cana-3495	200	25	transparent	transparent	ADJ
cana-3495	200	26	,	,	PUNCT
cana-3495	200	27	ensuring	ensure	VERB
cana-3495	200	28	trust	trust	NOUN
cana-3495	200	29	and	and	CCONJ
cana-3495	200	30	reliability	reliability	NOUN
cana-3495	200	31	.	.	PUNCT
cana-3495	201	1	7	7	X
cana-3495	201	2	.	.	X
cana-3495	201	3	collaboration	collaboration	NOUN
cana-3495	201	4	with	with	ADP
cana-3495	201	5	industry	industry	NOUN
cana-3495	201	6	experts	expert	NOUN
cana-3495	201	7	:	:	PUNCT
cana-3495	201	8	work	work	VERB
cana-3495	201	9	closely	closely	ADV
cana-3495	201	10	with	with	ADP
cana-3495	201	11	e	e	NOUN
cana-3495	201	12	-	-	NOUN
cana-3495	201	13	commerce	commerce	NOUN
cana-3495	201	14	businesses	business	NOUN
cana-3495	201	15	to	to	PART
cana-3495	201	16	align	align	VERB
cana-3495	201	17	research	research	NOUN
cana-3495	201	18	goals	goal	NOUN
cana-3495	201	19	with	with	ADP
cana-3495	201	20	practical	practical	ADJ
cana-3495	201	21	applications	application	NOUN
cana-3495	201	22	and	and	CCONJ
cana-3495	201	23	ensure	ensure	VERB
cana-3495	201	24	real	real	ADJ
cana-3495	201	25	-	-	PUNCT
cana-3495	201	26	world	world	NOUN
cana-3495	201	27	relevance	relevance	NOUN
cana-3495	201	28	.	.	PUNCT
cana-3495	202	1	specific	specific	ADJ
cana-3495	202	2	outcomes	outcome	NOUN
cana-3495	202	3	1	1	NUM
cana-3495	202	4	.	.	PUNCT
cana-3495	202	5	improved	improve	VERB
cana-3495	202	6	customer	customer	NOUN
cana-3495	202	7	insights	insight	NOUN
cana-3495	202	8	:	:	PUNCT
cana-3495	202	9	this	this	DET
cana-3495	202	10	paper	paper	NOUN
cana-3495	202	11	demonstrates	demonstrate	VERB
cana-3495	202	12	how	how	SCONJ
cana-3495	202	13	cnn	cnn	PROPN
cana-3495	202	14	-	-	PUNCT
cana-3495	202	15	based	base	VERB
cana-3495	202	16	sentiment	sentiment	NOUN
cana-3495	202	17	analysis	analysis	NOUN
cana-3495	202	18	can	can	AUX
cana-3495	202	19	extract	extract	VERB
cana-3495	202	20	deeper	deep	ADJ
cana-3495	202	21	emotional	emotional	ADJ
cana-3495	202	22	insights	insight	NOUN
cana-3495	202	23	from	from	ADP
cana-3495	202	24	customer	customer	NOUN
cana-3495	202	25	feedback	feedback	NOUN
cana-3495	202	26	,	,	PUNCT
cana-3495	202	27	empowering	empower	VERB
cana-3495	202	28	businesses	business	NOUN
cana-3495	202	29	to	to	PART
cana-3495	202	30	make	make	VERB
cana-3495	202	31	informed	informed	ADJ
cana-3495	202	32	decisions	decision	NOUN
cana-3495	202	33	.	.	PUNCT
cana-3495	203	1	2	2	X
cana-3495	203	2	.	.	NUM
cana-3495	203	3	enhanced	enhance	VERB
cana-3495	203	4	personalization	personalization	NOUN
cana-3495	203	5	in	in	ADP
cana-3495	203	6	e	e	NOUN
cana-3495	203	7	-	-	NOUN
cana-3495	203	8	commerce	commerce	NOUN
cana-3495	203	9	:	:	PUNCT
cana-3495	203	10	by	by	ADP
cana-3495	203	11	classifying	classify	VERB
cana-3495	203	12	emotions	emotion	NOUN
cana-3495	203	13	accurately	accurately	ADV
cana-3495	203	14	,	,	PUNCT
cana-3495	203	15	businesses	business	NOUN
cana-3495	203	16	can	can	AUX
cana-3495	203	17	personalize	personalize	VERB
cana-3495	203	18	the	the	DET
cana-3495	203	19	shopping	shopping	NOUN
cana-3495	203	20	experience	experience	NOUN
cana-3495	203	21	,	,	PUNCT
cana-3495	203	22	including	include	VERB
cana-3495	203	23	targeted	target	VERB
cana-3495	203	24	product	product	NOUN
cana-3495	203	25	recommendations	recommendation	NOUN
cana-3495	203	26	,	,	PUNCT
cana-3495	203	27	promotional	promotional	ADJ
cana-3495	203	28	offers	offer	NOUN
cana-3495	203	29	,	,	PUNCT
cana-3495	203	30	and	and	CCONJ
cana-3495	203	31	customer	customer	NOUN
cana-3495	203	32	support	support	NOUN
cana-3495	203	33	interactions	interaction	NOUN
cana-3495	203	34	.	.	PUNCT
cana-3495	204	1	3	3	X
cana-3495	204	2	.	.	X
cana-3495	204	3	efficient	efficient	ADJ
cana-3495	204	4	complaint	complaint	NOUN
cana-3495	204	5	resolution	resolution	NOUN
cana-3495	204	6	:	:	PUNCT
cana-3495	204	7	the	the	DET
cana-3495	204	8	paper	paper	NOUN
cana-3495	204	9	highlights	highlight	VERB
cana-3495	204	10	the	the	DET
cana-3495	204	11	potential	potential	NOUN
cana-3495	204	12	for	for	SCONJ
cana-3495	204	13	e	e	NOUN
cana-3495	204	14	-	-	NOUN
cana-3495	204	15	commerce	commerce	NOUN
cana-3495	204	16	platforms	platform	NOUN
cana-3495	204	17	to	to	PART
cana-3495	204	18	identify	identify	VERB
cana-3495	204	19	and	and	CCONJ
cana-3495	204	20	prioritize	prioritize	VERB
cana-3495	204	21	negative	negative	ADJ
cana-3495	204	22	feedback	feedback	NOUN
cana-3495	204	23	,	,	PUNCT
cana-3495	204	24	enabling	enable	VERB
cana-3495	204	25	faster	fast	ADJ
cana-3495	204	26	complaint	complaint	NOUN
cana-3495	204	27	resolution	resolution	NOUN
cana-3495	204	28	and	and	CCONJ
cana-3495	204	29	improved	improve	VERB
cana-3495	204	30	customer	customer	NOUN
cana-3495	204	31	satisfaction	satisfaction	NOUN
cana-3495	204	32	.	.	PUNCT
cana-3495	205	1	4	4	X
cana-3495	205	2	.	.	X
cana-3495	205	3	real	real	ADJ
cana-3495	205	4	-	-	PUNCT
cana-3495	205	5	time	time	NOUN
cana-3495	205	6	sentiment	sentiment	NOUN
cana-3495	205	7	monitoring	monitor	VERB
cana-3495	205	8	:	:	PUNCT
cana-3495	205	9	the	the	DET
cana-3495	205	10	proposed	propose	VERB
cana-3495	205	11	cnn	cnn	PROPN
cana-3495	205	12	approach	approach	NOUN
cana-3495	205	13	showcases	showcase	VERB
cana-3495	205	14	its	its	PRON
cana-3495	205	15	scalability	scalability	NOUN
cana-3495	205	16	for	for	ADP
cana-3495	205	17	real	real	ADJ
cana-3495	205	18	-	-	PUNCT
cana-3495	205	19	time	time	NOUN
cana-3495	205	20	applications	application	NOUN
cana-3495	205	21	,	,	PUNCT
cana-3495	205	22	allowing	allow	VERB
cana-3495	205	23	businesses	business	NOUN
cana-3495	205	24	to	to	PART
cana-3495	205	25	dynamically	dynamically	ADV
cana-3495	205	26	respond	respond	VERB
cana-3495	205	27	to	to	ADP
cana-3495	205	28	customer	customer	NOUN
cana-3495	205	29	sentiments	sentiment	NOUN
cana-3495	205	30	during	during	ADP
cana-3495	205	31	campaigns	campaign	NOUN
cana-3495	205	32	,	,	PUNCT
cana-3495	205	33	product	product	NOUN
cana-3495	205	34	launches	launch	NOUN
cana-3495	205	35	,	,	PUNCT
cana-3495	205	36	or	or	CCONJ
cana-3495	205	37	live	live	ADJ
cana-3495	205	38	events	event	NOUN
cana-3495	205	39	.	.	PUNCT
cana-3495	206	1	5	5	X
cana-3495	206	2	.	.	NOUN
cana-3495	206	3	practical	practical	ADJ
cana-3495	206	4	framework	framework	NOUN
cana-3495	206	5	for	for	ADP
cana-3495	206	6	researchers	researcher	NOUN
cana-3495	206	7	and	and	CCONJ
cana-3495	206	8	developers	developer	NOUN
cana-3495	206	9	:	:	PUNCT
cana-3495	206	10	the	the	DET
cana-3495	206	11	methodology	methodology	NOUN
cana-3495	206	12	outlined	outline	VERB
cana-3495	206	13	provides	provide	VERB
cana-3495	206	14	a	a	DET
cana-3495	206	15	solid	solid	ADJ
cana-3495	206	16	foundation	foundation	NOUN
cana-3495	206	17	for	for	ADP
cana-3495	206	18	implementing	implement	VERB
cana-3495	206	19	emotion	emotion	NOUN
cana-3495	206	20	classification	classification	NOUN
cana-3495	206	21	systems	system	NOUN
cana-3495	206	22	,	,	PUNCT
cana-3495	206	23	serving	serve	VERB
cana-3495	206	24	as	as	ADP
cana-3495	206	25	a	a	DET
cana-3495	206	26	guide	guide	NOUN
cana-3495	206	27	for	for	ADP
cana-3495	206	28	further	further	ADJ
cana-3495	206	29	research	research	NOUN
cana-3495	206	30	and	and	CCONJ
cana-3495	206	31	development	development	NOUN
cana-3495	206	32	in	in	ADP
cana-3495	206	33	sentiment	sentiment	NOUN
cana-3495	206	34	analysis	analysis	NOUN
cana-3495	206	35	.	.	PUNCT
cana-3495	207	1	6	6	X
cana-3495	207	2	.	.	X
cana-3495	207	3	foundation	foundation	NOUN
cana-3495	207	4	for	for	ADP
cana-3495	207	5	multimodal	multimodal	ADJ
cana-3495	207	6	emotion	emotion	NOUN
cana-3495	207	7	analysis	analysis	NOUN
cana-3495	207	8	:	:	PUNCT
cana-3495	207	9	this	this	DET
cana-3495	207	10	paper	paper	NOUN
cana-3495	207	11	sets	set	VERB
cana-3495	207	12	the	the	DET
cana-3495	207	13	groundwork	groundwork	NOUN
cana-3495	207	14	for	for	ADP
cana-3495	207	15	expanding	expand	VERB
cana-3495	207	16	sentiment	sentiment	NOUN
cana-3495	207	17	analysis	analysis	NOUN
cana-3495	207	18	to	to	ADP
cana-3495	207	19	multimodal	multimodal	NOUN
cana-3495	207	20	data	datum	NOUN
cana-3495	207	21	,	,	PUNCT
cana-3495	207	22	paving	pave	VERB
cana-3495	207	23	the	the	DET
cana-3495	207	24	way	way	NOUN
cana-3495	207	25	for	for	ADP
cana-3495	207	26	richer	rich	ADJ
cana-3495	207	27	insights	insight	NOUN
cana-3495	207	28	into	into	ADP
cana-3495	207	29	customer	customer	NOUN
cana-3495	207	30	behavior	behavior	NOUN
cana-3495	207	31	.	.	PUNCT
cana-3495	208	1	conclusion	conclusion	NOUN
cana-3495	208	2	in	in	ADP
cana-3495	208	3	conclusion	conclusion	NOUN
cana-3495	208	4	,	,	PUNCT
cana-3495	208	5	this	this	DET
cana-3495	208	6	paper	paper	NOUN
cana-3495	208	7	demonstrates	demonstrate	VERB
cana-3495	208	8	the	the	DET
cana-3495	208	9	effectiveness	effectiveness	NOUN
cana-3495	208	10	of	of	ADP
cana-3495	208	11	using	use	VERB
cana-3495	208	12	convolutional	convolutional	ADJ
cana-3495	208	13	neural	neural	ADJ
cana-3495	208	14	networks	network	NOUN
cana-3495	208	15	(	(	PUNCT
cana-3495	208	16	cnns	cnns	PROPN
cana-3495	208	17	)	)	PUNCT
cana-3495	208	18	for	for	ADP
cana-3495	208	19	enhanced	enhanced	ADJ
cana-3495	208	20	sentiment	sentiment	NOUN
cana-3495	208	21	analysis	analysis	NOUN
cana-3495	208	22	in	in	ADP
cana-3495	208	23	e	e	NOUN
cana-3495	208	24	-	-	NOUN
cana-3495	208	25	commerce	commerce	NOUN
cana-3495	208	26	environments	environment	NOUN
cana-3495	208	27	.	.	PUNCT
cana-3495	209	1	by	by	ADP
cana-3495	209	2	leveraging	leverage	VERB
cana-3495	209	3	cnns	cnn	NOUN
cana-3495	209	4	,	,	PUNCT
cana-3495	209	5	the	the	DET
cana-3495	209	6	study	study	NOUN
cana-3495	209	7	successfully	successfully	ADV
cana-3495	209	8	classifies	classify	VERB
cana-3495	209	9	and	and	CCONJ
cana-3495	209	10	analyzes	analyze	VERB
cana-3495	209	11	customer	customer	NOUN
cana-3495	209	12	emotions	emotion	NOUN
cana-3495	209	13	,	,	PUNCT
cana-3495	209	14	offering	offer	VERB
cana-3495	209	15	more	more	ADV
cana-3495	209	16	accurate	accurate	ADJ
cana-3495	209	17	and	and	CCONJ
cana-3495	209	18	nuanced	nuanced	ADJ
cana-3495	209	19	insights	insight	NOUN
cana-3495	209	20	into	into	ADP
cana-3495	209	21	consumer	consumer	NOUN
cana-3495	209	22	behavior	behavior	NOUN
cana-3495	209	23	.	.	PUNCT
cana-3495	210	1	the	the	DET
cana-3495	210	2	results	result	NOUN
cana-3495	210	3	highlight	highlight	VERB
cana-3495	210	4	the	the	DET
cana-3495	210	5	model	model	NOUN
cana-3495	210	6	's	's	PART
cana-3495	210	7	ability	ability	NOUN
cana-3495	210	8	to	to	PART
cana-3495	210	9	better	well	ADV
cana-3495	210	10	capture	capture	VERB
cana-3495	210	11	complex	complex	ADJ
cana-3495	210	12	patterns	pattern	NOUN
cana-3495	210	13	in	in	ADP
cana-3495	210	14	customer	customer	NOUN
cana-3495	210	15	reviews	review	NOUN
cana-3495	210	16	,	,	PUNCT
cana-3495	210	17	leading	lead	VERB
cana-3495	210	18	to	to	ADP
cana-3495	210	19	improved	improved	ADJ
cana-3495	210	20	sentiment	sentiment	NOUN
cana-3495	210	21	classification	classification	NOUN
cana-3495	210	22	and	and	CCONJ
cana-3495	210	23	a	a	DET
cana-3495	210	24	deeper	deep	ADJ
cana-3495	210	25	understanding	understanding	NOUN
cana-3495	210	26	of	of	ADP
cana-3495	210	27	customer	customer	NOUN
cana-3495	210	28	experiences	experience	NOUN
cana-3495	210	29	.	.	PUNCT
cana-3495	211	1	this	this	DET
cana-3495	211	2	approach	approach	NOUN
cana-3495	211	3	can	can	AUX
cana-3495	211	4	significantly	significantly	ADV
cana-3495	211	5	contribute	contribute	VERB
cana-3495	211	6	to	to	ADP
cana-3495	211	7	enhancing	enhance	VERB
cana-3495	211	8	personalized	personalize	VERB
cana-3495	211	9	customer	customer	NOUN
cana-3495	211	10	interactions	interaction	NOUN
cana-3495	211	11	,	,	PUNCT
cana-3495	211	12	improving	improve	VERB
cana-3495	211	13	product	product	NOUN
cana-3495	211	14	recommendations	recommendation	NOUN
cana-3495	211	15	,	,	PUNCT
cana-3495	211	16	and	and	CCONJ
cana-3495	211	17	ultimately	ultimately	ADV
cana-3495	211	18	driving	drive	VERB
cana-3495	211	19	business	business	NOUN
cana-3495	211	20	growth	growth	NOUN
cana-3495	211	21	in	in	ADP
cana-3495	211	22	ecommerce	ecommerce	NOUN
cana-3495	211	23	platforms	platform	NOUN
cana-3495	211	24	.	.	PUNCT
cana-3495	212	1	references	reference	NOUN
cana-3495	212	2	[	[	X
cana-3495	212	3	1	1	NUM
cana-3495	212	4	]	]	PUNCT
cana-3495	212	5	a.	a.	NOUN
cana-3495	212	6	salinca	salinca	PROPN
cana-3495	212	7	,	,	PUNCT
cana-3495	212	8	"	"	PUNCT
cana-3495	212	9	convolutional	convolutional	ADJ
cana-3495	212	10	neural	neural	ADJ
cana-3495	212	11	networks	network	NOUN
cana-3495	212	12	for	for	ADP
cana-3495	212	13	sentiment	sentiment	NOUN
cana-3495	212	14	classification	classification	NOUN
cana-3495	212	15	on	on	ADP
cana-3495	212	16	business	business	NOUN
cana-3495	212	17	reviews	review	NOUN
cana-3495	212	18	,	,	PUNCT
cana-3495	212	19	"	"	PUNCT
cana-3495	212	20	arxiv	arxiv	PROPN
cana-3495	212	21	preprint	preprint	VERB
cana-3495	212	22	arxiv:1710.05978	arxiv:1710.05978	NOUN
cana-3495	212	23	,	,	PUNCT
cana-3495	212	24	2017	2017	NUM
cana-3495	212	25	.	.	PUNCT
cana-3495	213	1	communications	communication	NOUN
cana-3495	213	2	on	on	ADP
cana-3495	213	3	applied	apply	VERB
cana-3495	213	4	nonlinear	nonlinear	ADJ
cana-3495	213	5	analysis	analysis	NOUN
cana-3495	213	6	issn	issn	NOUN
cana-3495	213	7	:	:	PUNCT
cana-3495	213	8	1074	1074	NUM
cana-3495	213	9	-	-	PUNCT
cana-3495	213	10	133x	133x	NUM
cana-3495	213	11	vol	vol	NOUN
cana-3495	213	12	32	32	NUM
cana-3495	213	13	no	no	NOUN
cana-3495	213	14	.	.	PUNCT
cana-3495	214	1	7s	7	NOUN
cana-3495	214	2	(	(	PUNCT
cana-3495	214	3	2025	2025	NUM
cana-3495	214	4	)	)	PUNCT
cana-3495	214	5	920	920	NUM
cana-3495	214	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3495	215	1	[	[	X
cana-3495	215	2	2	2	X
cana-3495	215	3	]	]	PUNCT
cana-3495	215	4	s.	s.	PROPN
cana-3495	215	5	minaee	minaee	PROPN
cana-3495	215	6	,	,	PUNCT
cana-3495	215	7	e.	e.	PROPN
cana-3495	215	8	azimi	azimi	PROPN
cana-3495	215	9	,	,	PUNCT
cana-3495	215	10	and	and	CCONJ
cana-3495	215	11	a.	a.	NOUN
cana-3495	215	12	abdolrashidi	abdolrashidi	NOUN
cana-3495	215	13	,	,	PUNCT
cana-3495	215	14	"	"	PUNCT
cana-3495	215	15	deep	deep	ADJ
cana-3495	215	16	-	-	PUNCT
cana-3495	215	17	sentiment	sentiment	NOUN
cana-3495	215	18	:	:	PUNCT
cana-3495	215	19	sentiment	sentiment	NOUN
cana-3495	215	20	analysis	analysis	NOUN
cana-3495	215	21	using	use	VERB
cana-3495	215	22	ensemble	ensemble	NOUN
cana-3495	215	23	of	of	ADP
cana-3495	215	24	cnn	cnn	PROPN
cana-3495	215	25	and	and	CCONJ
cana-3495	215	26	bilstm	bilstm	NOUN
cana-3495	215	27	models	model	NOUN
cana-3495	215	28	,	,	PUNCT
cana-3495	215	29	"	"	PUNCT
cana-3495	215	30	arxiv	arxiv	PROPN
cana-3495	215	31	preprint	preprint	NOUN
cana-3495	215	32	arxiv:1904.04206	arxiv:1904.04206	NUM
cana-3495	215	33	,	,	PUNCT
cana-3495	215	34	2019	2019	NUM
cana-3495	215	35	.	.	PUNCT
cana-3495	216	1	[	[	X
cana-3495	216	2	3	3	X
cana-3495	216	3	]	]	X
cana-3495	216	4	n.	n.	PROPN
cana-3495	216	5	shrestha	shrestha	PROPN
cana-3495	216	6	and	and	CCONJ
cana-3495	216	7	f.	f.	PROPN
cana-3495	216	8	nasoz	nasoz	PROPN
cana-3495	216	9	,	,	PUNCT
cana-3495	216	10	"	"	PUNCT
cana-3495	216	11	deep	deep	ADJ
cana-3495	216	12	learning	learning	NOUN
cana-3495	216	13	sentiment	sentiment	NOUN
cana-3495	216	14	analysis	analysis	NOUN
cana-3495	216	15	of	of	ADP
cana-3495	216	16	amazon.com	amazon.com	X
cana-3495	216	17	reviews	review	NOUN
cana-3495	216	18	and	and	CCONJ
cana-3495	216	19	ratings	rating	NOUN
cana-3495	216	20	,	,	PUNCT
cana-3495	216	21	"	"	PUNCT
cana-3495	216	22	arxiv	arxiv	PROPN
cana-3495	216	23	preprint	preprint	NOUN
cana-3495	216	24	arxiv:1904.04096	arxiv:1904.04096	NOUN
cana-3495	216	25	,	,	PUNCT
cana-3495	216	26	2019	2019	NUM
cana-3495	216	27	.	.	PUNCT
cana-3495	217	1	[	[	X
cana-3495	217	2	4	4	X
cana-3495	217	3	]	]	PUNCT
cana-3495	217	4	x.	x.	NOUN
cana-3495	217	5	wang	wang	PROPN
cana-3495	217	6	and	and	CCONJ
cana-3495	217	7	y.	y.	PROPN
cana-3495	217	8	tong	tong	PROPN
cana-3495	217	9	,	,	PUNCT
cana-3495	217	10	"	"	PUNCT
cana-3495	217	11	application	application	NOUN
cana-3495	217	12	of	of	ADP
cana-3495	217	13	an	an	DET
cana-3495	217	14	emotional	emotional	ADJ
cana-3495	217	15	classification	classification	NOUN
cana-3495	217	16	model	model	NOUN
cana-3495	217	17	in	in	ADP
cana-3495	217	18	e	e	PROPN
cana-3495	217	19	-	-	NOUN
cana-3495	217	20	commerce	commerce	NOUN
cana-3495	217	21	text	text	NOUN
cana-3495	217	22	based	base	VERB
cana-3495	217	23	on	on	ADP
cana-3495	217	24	an	an	DET
cana-3495	217	25	improved	improved	ADJ
cana-3495	217	26	transformer	transformer	NOUN
cana-3495	217	27	model	model	NOUN
cana-3495	217	28	,	,	PUNCT
cana-3495	217	29	"	"	PUNCT
cana-3495	217	30	plos	plos	PROPN
cana-3495	217	31	one	one	NUM
cana-3495	217	32	,	,	PUNCT
cana-3495	217	33	vol	vol	NOUN
cana-3495	217	34	.	.	PROPN
cana-3495	217	35	16	16	NUM
cana-3495	217	36	,	,	PUNCT
cana-3495	217	37	no	no	INTJ
cana-3495	217	38	.	.	NOUN
cana-3495	217	39	3	3	NUM
cana-3495	217	40	,	,	PUNCT
cana-3495	217	41	pp	pp	PROPN
cana-3495	217	42	.	.	PUNCT
cana-3495	218	1	e0247984	e0247984	PROPN
cana-3495	218	2	,	,	PUNCT
cana-3495	218	3	2021	2021	NUM
cana-3495	218	4	.	.	PUNCT
cana-3495	219	1	[	[	X
cana-3495	219	2	5	5	NUM
cana-3495	219	3	]	]	PUNCT
cana-3495	219	4	c.	c.	PROPN
cana-3495	219	5	xu	xu	PROPN
cana-3495	219	6	,	,	PUNCT
cana-3495	219	7	s.	s.	PROPN
cana-3495	219	8	cetintas	cetintas	PROPN
cana-3495	219	9	,	,	PUNCT
cana-3495	219	10	k.-c	k.-c	PROPN
cana-3495	219	11	.	.	PUNCT
cana-3495	220	1	lee	lee	PROPN
cana-3495	220	2	,	,	PUNCT
cana-3495	220	3	and	and	CCONJ
cana-3495	220	4	l.-j	l.-j	PROPN
cana-3495	220	5	.	.	PUNCT
cana-3495	221	1	li	li	PROPN
cana-3495	221	2	,	,	PUNCT
cana-3495	221	3	"	"	PUNCT
cana-3495	221	4	visual	visual	ADJ
cana-3495	221	5	sentiment	sentiment	NOUN
cana-3495	221	6	prediction	prediction	NOUN
cana-3495	221	7	with	with	ADP
cana-3495	221	8	deep	deep	ADJ
cana-3495	221	9	convolutional	convolutional	ADJ
cana-3495	221	10	neural	neural	ADJ
cana-3495	221	11	networks	network	NOUN
cana-3495	221	12	,	,	PUNCT
cana-3495	221	13	"	"	PUNCT
cana-3495	221	14	arxiv	arxiv	PROPN
cana-3495	221	15	preprint	preprint	NOUN
cana-3495	221	16	arxiv:1411.5731	arxiv:1411.5731	PROPN
cana-3495	221	17	,	,	PUNCT
cana-3495	221	18	2014	2014	NUM
cana-3495	221	19	.	.	PUNCT
cana-3495	222	1	[	[	X
cana-3495	222	2	6	6	NUM
cana-3495	222	3	]	]	PUNCT
cana-3495	222	4	r.	r.	PROPN
cana-3495	222	5	mangalam	mangalam	PROPN
cana-3495	222	6	,	,	PUNCT
cana-3495	222	7	"	"	PUNCT
cana-3495	222	8	customer	customer	NOUN
cana-3495	222	9	sentiment	sentiment	NOUN
cana-3495	222	10	analysis	analysis	NOUN
cana-3495	222	11	for	for	ADP
cana-3495	222	12	e	e	NOUN
cana-3495	222	13	-	-	NOUN
cana-3495	222	14	commerce	commerce	NOUN
cana-3495	222	15	:	:	PUNCT
cana-3495	222	16	a	a	DET
cana-3495	222	17	hybrid	hybrid	ADJ
cana-3495	222	18	approach	approach	NOUN
cana-3495	222	19	using	use	VERB
cana-3495	222	20	cnns	cnns	PROPN
cana-3495	222	21	&	&	CCONJ
cana-3495	222	22	bert	bert	PROPN
cana-3495	222	23	,	,	PUNCT
cana-3495	222	24	"	"	PUNCT
cana-3495	222	25	international	international	ADJ
cana-3495	222	26	journal	journal	NOUN
cana-3495	222	27	for	for	ADP
cana-3495	222	28	research	research	NOUN
cana-3495	222	29	in	in	ADP
cana-3495	222	30	applied	apply	VERB
cana-3495	222	31	science	science	NOUN
cana-3495	222	32	and	and	CCONJ
cana-3495	222	33	engineering	engineering	NOUN
cana-3495	222	34	technology	technology	NOUN
cana-3495	222	35	,	,	PUNCT
cana-3495	222	36	vol	vol	NOUN
cana-3495	222	37	.	.	PROPN
cana-3495	222	38	12	12	NUM
cana-3495	222	39	,	,	PUNCT
cana-3495	222	40	no	no	INTJ
cana-3495	222	41	.	.	NOUN
cana-3495	222	42	11	11	NUM
cana-3495	222	43	,	,	PUNCT
cana-3495	222	44	pp	pp	ADJ
cana-3495	222	45	.	.	PUNCT
cana-3495	223	1	592	592	NUM
cana-3495	223	2	-	-	SYM
cana-3495	223	3	596	596	NUM
cana-3495	223	4	,	,	PUNCT
cana-3495	223	5	2024	2024	NUM
cana-3495	223	6	.	.	PUNCT
cana-3495	224	1	[	[	X
cana-3495	224	2	7	7	X
cana-3495	224	3	]	]	X
cana-3495	224	4	s.	s.	PROPN
cana-3495	224	5	gaur	gaur	PROPN
cana-3495	224	6	and	and	CCONJ
cana-3495	224	7	s.	s.	PROPN
cana-3495	224	8	sharma	sharma	PROPN
cana-3495	224	9	,	,	PUNCT
cana-3495	224	10	"	"	PUNCT
cana-3495	224	11	sentiment	sentiment	NOUN
cana-3495	224	12	analysis	analysis	NOUN
cana-3495	224	13	using	use	VERB
cana-3495	224	14	nlp	nlp	NOUN
cana-3495	224	15	and	and	CCONJ
cana-3495	224	16	convolutional	convolutional	ADJ
cana-3495	224	17	neural	neural	ADJ
cana-3495	224	18	network	network	NOUN
cana-3495	224	19	for	for	ADP
cana-3495	224	20	e	e	NOUN
cana-3495	224	21	-	-	NOUN
cana-3495	224	22	commerce	commerce	NOUN
cana-3495	224	23	product	product	NOUN
cana-3495	224	24	reviews	review	NOUN
cana-3495	224	25	,	,	PUNCT
cana-3495	224	26	"	"	PUNCT
cana-3495	224	27	international	international	ADJ
cana-3495	224	28	journal	journal	NOUN
cana-3495	224	29	of	of	ADP
cana-3495	224	30	all	all	DET
cana-3495	224	31	research	research	NOUN
cana-3495	224	32	education	education	NOUN
cana-3495	224	33	&	&	CCONJ
cana-3495	224	34	scientific	scientific	ADJ
cana-3495	224	35	methods	method	NOUN
cana-3495	224	36	,	,	PUNCT
cana-3495	224	37	vol	vol	NOUN
cana-3495	224	38	.	.	PROPN
cana-3495	224	39	9	9	NUM
cana-3495	224	40	,	,	PUNCT
cana-3495	224	41	no	no	INTJ
cana-3495	224	42	.	.	NOUN
cana-3495	224	43	7	7	NUM
cana-3495	224	44	,	,	PUNCT
cana-3495	224	45	2021	2021	NUM
cana-3495	224	46	.	.	PUNCT
cana-3495	225	1	[	[	X
cana-3495	225	2	8	8	NUM
cana-3495	225	3	]	]	X
cana-3495	225	4	r.	r.	PROPN
cana-3495	225	5	sathya	sathya	PROPN
cana-3495	225	6	;	;	PUNCT
cana-3495	225	7	v.c	v.c	PROPN
cana-3495	225	8	.	.	PROPN
cana-3495	225	9	bharathi	bharathi	PROPN
cana-3495	225	10	;	;	PUNCT
cana-3495	225	11	s.	s.	PROPN
cana-3495	225	12	ananthi	ananthi	PROPN
cana-3495	225	13	;	;	PUNCT
cana-3495	225	14	t.	t.	PROPN
cana-3495	225	15	vijayakumar	vijayakumar	PROPN
cana-3495	225	16	;	;	PUNCT
cana-3495	225	17	rvs	rvs	NOUN
cana-3495	225	18	praveen	praveen	PROPN
cana-3495	225	19	;	;	PUNCT
cana-3495	225	20	dhivya	dhivya	PROPN
cana-3495	225	21	ramasamy	ramasamy	NOUN
cana-3495	225	22	,	,	PUNCT
cana-3495	225	23	real	real	ADJ
cana-3495	225	24	time	time	NOUN
cana-3495	225	25	prediction	prediction	NOUN
cana-3495	225	26	of	of	ADP
cana-3495	225	27	diabetes	diabetes	NOUN
cana-3495	225	28	by	by	ADP
cana-3495	225	29	using	use	VERB
cana-3495	225	30	artificial	artificial	ADJ
cana-3495	225	31	intelligence	intelligence	NOUN
cana-3495	225	32	,	,	PUNCT
cana-3495	225	33	2024	2024	NUM
cana-3495	225	34	2nd	2nd	ADJ
cana-3495	225	35	international	international	ADJ
cana-3495	225	36	conference	conference	NOUN
cana-3495	225	37	on	on	ADP
cana-3495	225	38	self	self	NOUN
cana-3495	225	39	sustainable	sustainable	ADJ
cana-3495	225	40	artificial	artificial	ADJ
cana-3495	225	41	intelligence	intelligence	NOUN
cana-3495	225	42	systems	system	NOUN
cana-3495	225	43	(	(	PUNCT
cana-3495	225	44	icssas	icssa	NOUN
cana-3495	225	45	)	)	PUNCT
cana-3495	225	46	,	,	PUNCT
cana-3495	225	47	doi	doi	NOUN
cana-3495	225	48	:	:	PUNCT
cana-3495	225	49	10.1109	10.1109	NUM
cana-3495	225	50	/	/	SYM
cana-3495	226	1	icssas64001.2024.10760985	icssas64001.2024.10760985	PROPN
cana-3495	226	2	[	[	X
cana-3495	226	3	9	9	NUM
cana-3495	226	4	]	]	X
cana-3495	226	5	rvs	rvs	NOUN
cana-3495	226	6	praveen;b	praveen;b	NOUN
cana-3495	226	7	vinoth;s	vinoth;s	NOUN
cana-3495	226	8	.	.	PUNCT
cana-3495	227	1	sowmiya;k	sowmiya;k	PROPN
cana-3495	227	2	.	.	PUNCT
cana-3495	228	1	tharageswari;purushothapatnapu	tharageswari;purushothapatnapu	PROPN
cana-3495	228	2	naga	naga	PROPN
cana-3495	228	3	venkata	venkata	PROPN
cana-3495	228	4	vamsilala;r	vamsilala;r	PROPN
cana-3495	228	5	.	.	PUNCT
cana-3495	229	1	sathya	sathya	PROPN
cana-3495	229	2	,	,	PUNCT
cana-3495	229	3	“	"	PUNCT
cana-3495	229	4	air	air	NOUN
cana-3495	229	5	pollution	pollution	NOUN
cana-3495	229	6	monitoring	monitoring	NOUN
cana-3495	229	7	system	system	NOUN
cana-3495	229	8	using	use	VERB
cana-3495	229	9	machine	machine	NOUN
cana-3495	229	10	learning	learn	VERB
cana-3495	229	11	techniques	technique	NOUN
cana-3495	229	12	for	for	ADP
cana-3495	229	13	smart	smart	ADJ
cana-3495	229	14	cities	city	NOUN
cana-3495	229	15	,	,	PUNCT
cana-3495	229	16	”	"	PUNCT
cana-3495	229	17	2024	2024	NUM
cana-3495	229	18	2nd	2nd	ADJ
cana-3495	229	19	international	international	ADJ
cana-3495	229	20	conference	conference	NOUN
cana-3495	229	21	on	on	ADP
cana-3495	229	22	self	self	NOUN
cana-3495	229	23	sustainable	sustainable	ADJ
cana-3495	229	24	artificial	artificial	ADJ
cana-3495	229	25	intelligence	intelligence	NOUN
cana-3495	229	26	systems	system	NOUN
cana-3495	229	27	(	(	PUNCT
cana-3495	229	28	icssas	icssa	NOUN
cana-3495	229	29	)	)	PUNCT
cana-3495	229	30	,	,	PUNCT
cana-3495	229	31	doi	doi	NOUN
cana-3495	229	32	:	:	PUNCT
cana-3495	229	33	10.1109	10.1109	NUM
cana-3495	229	34	/	/	SYM
cana-3495	229	35	icssas64001.2024.10760948	icssas64001.2024.10760948	PROPN
cana-3495	230	1	[	[	X
cana-3495	230	2	10	10	NUM
cana-3495	230	3	]	]	X
cana-3495	230	4	rvs	rvs	NOUN
cana-3495	230	5	praveen;u	praveen;u	PROPN
cana-3495	230	6	hemavathi;r	hemavathi;r	NOUN
cana-3495	230	7	.	.	PUNCT
cana-3495	231	1	sathya;a	sathya;a	PROPN
cana-3495	231	2	.	.	PUNCT
cana-3495	232	1	abubakkar	abubakkar	PROPN
cana-3495	232	2	siddiq;m	siddiq;m	PROPN
cana-3495	232	3	.	.	PUNCT
cana-3495	233	1	gokul	gokul	PROPN
cana-3495	233	2	sanjay;s	sanjay;s	PROPN
cana-3495	233	3	.	.	PUNCT
cana-3495	234	1	gowdish	gowdish	ADJ
cana-3495	234	2	,	,	PUNCT
cana-3495	234	3	“	"	PUNCT
cana-3495	234	4	ai	ai	VERB
cana-3495	234	5	powered	powered	ADJ
cana-3495	234	6	plant	plant	NOUN
cana-3495	234	7	identification	identification	NOUN
cana-3495	234	8	and	and	CCONJ
cana-3495	234	9	plant	plant	NOUN
cana-3495	234	10	disease	disease	NOUN
cana-3495	234	11	classification	classification	NOUN
cana-3495	234	12	system	system	NOUN
cana-3495	234	13	,	,	PUNCT
cana-3495	234	14	”	"	PUNCT
cana-3495	234	15	2024	2024	NUM
cana-3495	234	16	4th	4th	ADJ
cana-3495	234	17	international	international	ADJ
cana-3495	234	18	conference	conference	NOUN
cana-3495	234	19	on	on	ADP
cana-3495	234	20	sustainable	sustainable	ADJ
cana-3495	234	21	expert	expert	NOUN
cana-3495	234	22	systems	system	NOUN
cana-3495	234	23	(	(	PUNCT
cana-3495	234	24	icses	icse	NOUN
cana-3495	234	25	)	)	PUNCT
cana-3495	234	26	,	,	PUNCT
cana-3495	234	27	doi	doi	NOUN
cana-3495	234	28	:	:	PUNCT
cana-3495	234	29	10.1109	10.1109	NUM
cana-3495	234	30	/	/	SYM
cana-3495	235	1	icses63445.2024.10763167	icses63445.2024.10763167	PROPN
cana-3495	235	2	[	[	X
cana-3495	235	3	11	11	NUM
cana-3495	235	4	]	]	X
cana-3495	235	5	neeraj	neeraj	PROPN
cana-3495	235	6	kumar;sanjay	kumar;sanjay	PROPN
cana-3495	235	7	laxmanrao	laxmanrao	PROPN
cana-3495	235	8	kurkute;v	kurkute;v	PROPN
cana-3495	235	9	.	.	PUNCT
cana-3495	236	1	kalpana;anand	kalpana;anand	PROPN
cana-3495	236	2	karuppannan;rvs	karuppannan;rvs	PROPN
cana-3495	236	3	praveen;soumya	praveen;soumya	PROPN
cana-3495	236	4	mishra	mishra	PROPN
cana-3495	236	5	,	,	PUNCT
cana-3495	236	6	“	"	PUNCT
cana-3495	236	7	modelling	modelling	NOUN
cana-3495	236	8	and	and	CCONJ
cana-3495	236	9	evaluation	evaluation	NOUN
cana-3495	236	10	of	of	ADP
cana-3495	236	11	li	li	PROPN
cana-3495	236	12	-	-	ADJ
cana-3495	236	13	ion	ion	NOUN
cana-3495	236	14	battery	battery	NOUN
cana-3495	236	15	performance	performance	NOUN
cana-3495	236	16	based	base	VERB
cana-3495	236	17	on	on	ADP
cana-3495	236	18	the	the	DET
cana-3495	236	19	electric	electric	ADJ
cana-3495	236	20	vehicle	vehicle	NOUN
cana-3495	236	21	tiled	tile	VERB
cana-3495	236	22	tests	test	NOUN
cana-3495	236	23	using	use	VERB
cana-3495	236	24	kalman	kalman	PROPN
cana-3495	236	25	filter	filter	NOUN
cana-3495	236	26	-	-	PUNCT
cana-3495	236	27	gbdt	gbdt	NOUN
cana-3495	236	28	approach	approach	NOUN
cana-3495	236	29	”	"	PUNCT
cana-3495	236	30	2024	2024	NUM
cana-3495	236	31	international	international	ADJ
cana-3495	236	32	conference	conference	NOUN
cana-3495	236	33	on	on	ADP
cana-3495	236	34	intelligent	intelligent	ADJ
cana-3495	236	35	algorithms	algorithm	NOUN
cana-3495	236	36	for	for	ADP
cana-3495	236	37	computational	computational	ADJ
cana-3495	236	38	intelligence	intelligence	NOUN
cana-3495	236	39	systems	system	NOUN
cana-3495	236	40	(	(	PUNCT
cana-3495	236	41	iacis	iacis	PROPN
cana-3495	236	42	)	)	PUNCT
cana-3495	236	43	,	,	PUNCT
cana-3495	236	44	doi	doi	NOUN
cana-3495	236	45	:	:	PUNCT
cana-3495	236	46	10.1109	10.1109	NUM
cana-3495	236	47	/	/	SYM
cana-3495	236	48	iacis61494.2024.10721979	iacis61494.2024.10721979	PROPN
cana-3495	237	1	[	[	X
cana-3495	237	2	12	12	NUM
cana-3495	237	3	]	]	X
cana-3495	237	4	tushar	tushar	PROPN
cana-3495	237	5	dhar	dhar	PROPN
cana-3495	237	6	shukla;g	shukla;g	PROPN
cana-3495	237	7	.	.	PUNCT
cana-3495	238	1	radha;dharmendra	radha;dharmendra	PROPN
cana-3495	238	2	kumar	kumar	PROPN
cana-3495	238	3	yadav;chaitali	yadav;chaitali	PROPN
cana-3495	238	4	bhattacharya;rvs	bhattacharya;rvs	PROPN
cana-3495	238	5	praveen;nikhil	praveen;nikhil	PROPN
cana-3495	238	6	n.	n.	PROPN
cana-3495	238	7	yokar	yokar	PROPN
cana-3495	238	8	,	,	PUNCT
cana-3495	238	9	“	"	PUNCT
cana-3495	238	10	advanced	advanced	ADJ
cana-3495	238	11	student	student	NOUN
cana-3495	238	12	success	success	NOUN
cana-3495	238	13	predictions	prediction	NOUN
cana-3495	238	14	in	in	ADP
cana-3495	238	15	higher	high	ADJ
cana-3495	238	16	education	education	NOUN
cana-3495	238	17	with	with	ADP
cana-3495	238	18	graph	graph	NOUN
cana-3495	238	19	attention	attention	NOUN
cana-3495	238	20	networks	network	NOUN
cana-3495	238	21	for	for	ADP
cana-3495	238	22	personalized	personalized	ADJ
cana-3495	238	23	learning	learning	NOUN
cana-3495	238	24	”	"	PUNCT
cana-3495	238	25	,	,	PUNCT
cana-3495	238	26	2024	2024	NUM
cana-3495	238	27	first	first	ADJ
cana-3495	238	28	international	international	ADJ
cana-3495	238	29	conference	conference	NOUN
cana-3495	238	30	on	on	ADP
cana-3495	238	31	software	software	NOUN
cana-3495	238	32	,	,	PUNCT
cana-3495	238	33	systems	system	NOUN
cana-3495	238	34	and	and	CCONJ
cana-3495	238	35	information	information	NOUN
cana-3495	238	36	technology	technology	NOUN
cana-3495	238	37	(	(	PUNCT
cana-3495	238	38	ssitcon	ssitcon	NOUN
cana-3495	238	39	)	)	PUNCT
cana-3495	238	40	,	,	PUNCT
cana-3495	238	41	doi	doi	NOUN
cana-3495	238	42	:	:	PUNCT
cana-3495	238	43	10.1109	10.1109	NUM
cana-3495	238	44	/	/	SYM
cana-3495	238	45	ssitcon62437.2024.10796791	ssitcon62437.2024.10796791	PROPN
cana-3495	238	46	[	[	NOUN
cana-3495	238	47	13	13	NUM
cana-3495	238	48	]	]	X
cana-3495	238	49	v.	v.	ADP
cana-3495	238	50	yamuna;praveen	yamuna;praveen	PROPN
cana-3495	238	51	rvs;r	rvs;r	PROPN
cana-3495	238	52	.	.	PUNCT
cana-3495	238	53	sathya;m	sathya;m	PROPN
cana-3495	238	54	.	.	PROPN
cana-3495	238	55	dhivva;r	dhivva;r	PROPN
cana-3495	238	56	.	.	PUNCT
cana-3495	239	1	lidiya;p	lidiya;p	X
cana-3495	239	2	.	.	PUNCT
cana-3495	239	3	sowmiya	sowmiya	NOUN
cana-3495	239	4	,	,	PUNCT
cana-3495	239	5	“	"	PUNCT
cana-3495	239	6	integrating	integrate	VERB
cana-3495	239	7	ai	ai	VERB
cana-3495	239	8	for	for	ADP
cana-3495	239	9	improved	improved	ADJ
cana-3495	239	10	brain	brain	NOUN
cana-3495	239	11	tumor	tumor	NOUN
cana-3495	239	12	detection	detection	NOUN
cana-3495	239	13	and	and	CCONJ
cana-3495	239	14	classification	classification	NOUN
cana-3495	239	15	”	"	PUNCT
cana-3495	239	16	2024	2024	NUM
cana-3495	239	17	4th	4th	ADJ
cana-3495	239	18	international	international	ADJ
cana-3495	239	19	conference	conference	NOUN
cana-3495	239	20	on	on	ADP
cana-3495	239	21	sustainable	sustainable	ADJ
cana-3495	239	22	expert	expert	NOUN
cana-3495	239	23	systems	system	NOUN
cana-3495	239	24	(	(	PUNCT
cana-3495	239	25	icses	icse	NOUN
cana-3495	239	26	)	)	PUNCT
cana-3495	239	27	,	,	PUNCT
cana-3495	239	28	doi	doi	NOUN
cana-3495	239	29	:	:	PUNCT
cana-3495	239	30	10.1109	10.1109	NUM
cana-3495	239	31	/	/	SYM
cana-3495	240	1	icses63445.2024.10763262	icses63445.2024.10763262	PROPN
cana-3495	241	1	[	[	X
cana-3495	241	2	14	14	NUM
cana-3495	241	3	]	]	SYM
cana-3495	241	4	rvs	rvs	ADJ
cana-3495	241	5	praveen;aktalina	praveen;aktalina	NOUN
cana-3495	241	6	torogeldieva;b	torogeldieva;b	NOUN
cana-3495	241	7	saravanan;ajay	saravanan;ajay	NOUN
cana-3495	241	8	kumar;pushpa	kumar;pushpa	PROPN
cana-3495	241	9	rani;bhimanand	rani;bhimanand	PROPN
cana-3495	241	10	pandurang	pandurang	PROPN
cana-3495	241	11	gajbhare	gajbhare	NOUN
cana-3495	241	12	,	,	PUNCT
cana-3495	241	13	“	"	PUNCT
cana-3495	241	14	enhancing	enhance	VERB
cana-3495	241	15	intellectual	intellectual	ADJ
cana-3495	241	16	property	property	NOUN
cana-3495	241	17	rights(ipr	rights(ipr	NOUN
cana-3495	241	18	)	)	PUNCT
cana-3495	241	19	transparency	transparency	NOUN
cana-3495	241	20	with	with	ADP
cana-3495	241	21	blockchain	blockchain	PROPN
cana-3495	241	22	and	and	CCONJ
cana-3495	241	23	dual	dual	ADJ
cana-3495	241	24	graph	graph	NOUN
cana-3495	241	25	neural	neural	ADJ
cana-3495	241	26	networks	network	NOUN
cana-3495	241	27	”	"	PUNCT
cana-3495	241	28	2024	2024	NUM
cana-3495	241	29	first	first	ADJ
cana-3495	241	30	international	international	ADJ
cana-3495	241	31	conference	conference	NOUN
cana-3495	241	32	on	on	ADP
cana-3495	241	33	software	software	NOUN
cana-3495	241	34	,	,	PUNCT
cana-3495	241	35	systems	system	NOUN
cana-3495	241	36	and	and	CCONJ
cana-3495	241	37	information	information	NOUN
cana-3495	241	38	technology	technology	NOUN
cana-3495	241	39	(	(	PUNCT
cana-3495	241	40	ssitcon	ssitcon	NOUN
cana-3495	241	41	)	)	PUNCT
cana-3495	241	42	,	,	PUNCT
cana-3495	241	43	doi	doi	NOUN
cana-3495	241	44	:	:	PUNCT
cana-3495	242	1	10.1109	10.1109	NUM
cana-3495	242	2	/	/	SYM
cana-3495	242	3	ssitcon62437.2024.10795998	ssitcon62437.2024.10795998	PROPN
cana-3495	243	1	[	[	X
cana-3495	243	2	15	15	NUM
cana-3495	243	3	]	]	X
cana-3495	243	4	sarthak	sarthak	PROPN
cana-3495	243	5	sharma;suman	sharma;suman	PROPN
cana-3495	243	6	vij;rvs	vij;rvs	PROPN
cana-3495	243	7	praveen;s	praveen;s	PROPN
cana-3495	243	8	.	.	PUNCT
cana-3495	244	1	srinivasan;dharmendra	srinivasan;dharmendra	PROPN
cana-3495	244	2	kumar	kumar	PROPN
cana-3495	244	3	yadav;raj	yadav;raj	PROPN
cana-3495	244	4	kumar	kumar	PROPN
cana-3495	244	5	v	v	ADP
cana-3495	244	6	s	s	PROPN
cana-3495	244	7	,	,	PUNCT
cana-3495	244	8	“	"	PUNCT
cana-3495	244	9	stress	stress	NOUN
cana-3495	244	10	prediction	prediction	NOUN
cana-3495	244	11	in	in	ADP
cana-3495	244	12	higher	high	ADJ
cana-3495	244	13	education	education	NOUN
cana-3495	244	14	students	student	NOUN
cana-3495	244	15	using	use	VERB
cana-3495	244	16	psychometric	psychometric	ADJ
cana-3495	244	17	assessments	assessment	NOUN
cana-3495	244	18	and	and	CCONJ
cana-3495	244	19	aoa	aoa	PROPN
cana-3495	244	20	-	-	PUNCT
cana-3495	244	21	cnn	cnn	PROPN
cana-3495	244	22	-	-	PUNCT
cana-3495	244	23	xgboost	xgboost	PROPN
cana-3495	244	24	models	model	NOUN
cana-3495	244	25	,	,	PUNCT
cana-3495	244	26	”	"	PUNCT
cana-3495	244	27	2024	2024	NUM
cana-3495	244	28	4th	4th	ADJ
cana-3495	244	29	international	international	ADJ
cana-3495	244	30	conference	conference	NOUN
cana-3495	244	31	on	on	ADP
cana-3495	244	32	sustainable	sustainable	ADJ
cana-3495	244	33	expert	expert	NOUN
cana-3495	244	34	systems	system	NOUN
cana-3495	244	35	(	(	PUNCT
cana-3495	244	36	icses	icse	NOUN
cana-3495	244	37	)	)	PUNCT
cana-3495	244	38	,	,	PUNCT
cana-3495	244	39	doi	doi	NOUN
cana-3495	244	40	:	:	PUNCT
cana-3495	244	41	10.1109	10.1109	NUM
cana-3495	244	42	/	/	SYM
cana-3495	244	43	icses63445.2024.10763288	icses63445.2024.10763288	PROPN
cana-3495	244	44	[	[	X
cana-3495	244	45	16	16	NUM
cana-3495	244	46	]	]	X
cana-3495	244	47	dr	dr	PROPN
cana-3495	244	48	.	.	PROPN
cana-3495	244	49	swapnil	swapnil	PROPN
cana-3495	244	50	b.	b.	PROPN
cana-3495	244	51	mohod	mohod	PROPN
cana-3495	244	52	,	,	PUNCT
cana-3495	244	53	ketki	ketki	PROPN
cana-3495	244	54	r.	r.	PROPN
cana-3495	244	55	ingole	ingole	PROPN
cana-3495	244	56	,	,	PUNCT
cana-3495	244	57	dr	dr	PROPN
cana-3495	244	58	.	.	PROPN
cana-3495	244	59	chethana	chethana	PROPN
cana-3495	244	60	c	c	PROPN
cana-3495	244	61	,	,	PUNCT
cana-3495	244	62	dr	dr	PROPN
cana-3495	244	63	.	.	PROPN
cana-3495	244	64	rvs	rvs	PROPN
cana-3495	244	65	praveen	praveen	PROPN
cana-3495	244	66	,	,	PUNCT
cana-3495	244	67	a.	a.	PROPN
cana-3495	244	68	deepak	deepak	PROPN
cana-3495	244	69	,	,	PUNCT
cana-3495	244	70	mrs	mrs	PROPN
cana-3495	244	71	b.	b.	PROPN
cana-3495	244	72	sukshma	sukshma	PROPN
cana-3495	244	73	,	,	PUNCT
cana-3495	244	74	dr	dr	PROPN
cana-3495	244	75	.	.	PROPN
cana-3495	244	76	anurag	anurag	PROPN
cana-3495	244	77	shrivastava	shrivastava	PROPN
cana-3495	244	78	.	.	PUNCT
cana-3495	245	1	"using	"use	VERB
cana-3495	245	2	convolutional	convolutional	ADJ
cana-3495	245	3	neural	neural	ADJ
cana-3495	245	4	networks	network	NOUN
cana-3495	245	5	for	for	ADP
cana-3495	245	6	accurate	accurate	ADJ
cana-3495	245	7	medical	medical	ADJ
cana-3495	245	8	image	image	NOUN
cana-3495	245	9	analysis	analysis	NOUN
cana-3495	245	10	"	"	PUNCT
cana-3495	245	11	,	,	PUNCT
cana-3495	245	12	3819	3819	NUM
cana-3495	245	13	-	-	SYM
cana-3495	245	14	3829	3829	NUM
cana-3495	245	15	,	,	PUNCT
cana-3495	245	16	doi	doi	NOUN
cana-3495	245	17	:	:	PUNCT
cana-3495	245	18	https://doi.org/10.52783/fhi.351	https://doi.org/10.52783/fhi.351	PROPN
cana-3495	245	19	[	[	X
cana-3495	245	20	17	17	NUM
cana-3495	245	21	]	]	X
cana-3495	245	22	dr	dr	PROPN
cana-3495	245	23	.	.	PROPN
cana-3495	245	24	mohammad	mohammad	PROPN
cana-3495	245	25	ahmar	ahmar	PROPN
cana-3495	245	26	khan	khan	PROPN
cana-3495	245	27	,	,	PUNCT
cana-3495	245	28	dr	dr	PROPN
cana-3495	245	29	.	.	PROPN
cana-3495	245	30	shanthi	shanthi	PROPN
cana-3495	245	31	kumaraguru	kumaraguru	PROPN
cana-3495	245	32	,	,	PUNCT
cana-3495	245	33	dr	dr	PROPN
cana-3495	245	34	.	.	PROPN
cana-3495	245	35	rvs	rvs	PROPN
cana-3495	245	36	praveen	praveen	PROPN
cana-3495	245	37	,	,	PUNCT
cana-3495	245	38	narender	narender	X
cana-3495	245	39	chinthamu	chinthamu	PROPN
cana-3495	245	40	,	,	PUNCT
cana-3495	245	41	dr	dr	PROPN
cana-3495	245	42	rashel	rashel	PROPN
cana-3495	245	43	sarkar	sarkar	PROPN
cana-3495	245	44	,	,	PUNCT
cana-3495	245	45	nilakshi	nilakshi	PROPN
cana-3495	245	46	deka	deka	PROPN
cana-3495	245	47	,	,	PUNCT
cana-3495	245	48	dr	dr	PROPN
cana-3495	245	49	.	.	PROPN
cana-3495	245	50	anurag	anurag	PROPN
cana-3495	245	51	shrivastava	shrivastava	PROPN
cana-3495	245	52	,	,	PUNCT
cana-3495	245	53	"	"	PUNCT
cana-3495	245	54	exploring	explore	VERB
cana-3495	245	55	the	the	DET
cana-3495	245	56	role	role	NOUN
cana-3495	245	57	of	of	ADP
cana-3495	245	58	artificial	artificial	ADJ
cana-3495	245	59	intelligence	intelligence	NOUN
cana-3495	245	60	in	in	ADP
cana-3495	245	61	personalized	personalized	ADJ
cana-3495	245	62	healthcare	healthcare	NOUN
cana-3495	245	63	:	:	PUNCT
cana-3495	245	64	from	from	ADP
cana-3495	245	65	predictive	predictive	ADJ
cana-3495	245	66	diagnostics	diagnostic	NOUN
cana-3495	245	67	to	to	ADP
cana-3495	245	68	tailored	tailor	VERB
cana-3495	245	69	treatment	treatment	NOUN
cana-3495	245	70	plans	plan	NOUN
cana-3495	245	71	"	"	PUNCT
cana-3495	245	72	,	,	PUNCT
cana-3495	245	73	2786	2786	NUM
cana-3495	245	74	-	-	SYM
cana-3495	245	75	2798	2798	NUM
cana-3495	245	76	,	,	PUNCT
cana-3495	245	77	doi	doi	NOUN
cana-3495	245	78	:	:	PUNCT
cana-3495	245	79	https://doi.org/10.52783/fhi.262	https://doi.org/10.52783/fhi.262	PROPN
cana-3495	246	1	[	[	X
cana-3495	246	2	18	18	NUM
cana-3495	246	3	]	]	X
cana-3495	246	4	devyani	devyani	PROPN
cana-3495	246	5	chatterji	chatterji	PROPN
cana-3495	246	6	,	,	PUNCT
cana-3495	246	7	raghvendra	raghvendra	PROPN
cana-3495	246	8	,	,	PUNCT
cana-3495	246	9	rvs	rvs	NOUN
cana-3495	246	10	praveen	praveen	PROPN
cana-3495	246	11	,	,	PUNCT
cana-3495	246	12	chaitanya	chaitanya	PROPN
cana-3495	246	13	koneti	koneti	PROPN
cana-3495	246	14	,	,	PUNCT
cana-3495	246	15	sumi	sumi	PROPN
cana-3495	246	16	alex	alex	PROPN
cana-3495	246	17	,	,	PUNCT
cana-3495	246	18	deeja	deeja	PROPN
cana-3495	246	19	s.	s.	PROPN
cana-3495	246	20	(	(	PUNCT
cana-3495	246	21	2024	2024	NUM
cana-3495	246	22	)	)	PUNCT
cana-3495	246	23	.	.	PUNCT
cana-3495	247	1	challenge	challenge	NOUN
cana-3495	247	2	and	and	CCONJ
cana-3495	247	3	impact	impact	NOUN
cana-3495	247	4	and	and	CCONJ
cana-3495	247	5	role	role	NOUN
cana-3495	247	6	of	of	ADP
cana-3495	247	7	innovation	innovation	NOUN
cana-3495	247	8	and	and	CCONJ
cana-3495	247	9	entrepreneurship	entrepreneurship	NOUN
cana-3495	247	10	in	in	ADP
cana-3495	247	11	business	business	NOUN
cana-3495	247	12	growth	growth	NOUN
cana-3495	247	13	.	.	PUNCT
cana-3495	248	1	european	european	ADJ
cana-3495	248	2	economic	economic	ADJ
cana-3495	248	3	letters	letter	NOUN
cana-3495	248	4	(	(	PUNCT
cana-3495	248	5	eel	eel	NOUN
cana-3495	248	6	)	)	PUNCT
cana-3495	248	7	,	,	PUNCT
cana-3495	248	8	14(3	14(3	NUM
cana-3495	248	9	)	)	PUNCT
cana-3495	248	10	,	,	PUNCT
cana-3495	248	11	1141	1141	NUM
cana-3495	248	12	–	–	PUNCT
cana-3495	248	13	1149	1149	NUM
cana-3495	248	14	.	.	PUNCT
cana-3495	249	1	https://doi.org/10.52783/eel.v14i3.1875	https://doi.org/10.52783/eel.v14i3.1875	PRON
cana-3495	249	2	[	[	X
cana-3495	249	3	19	19	NUM
cana-3495	249	4	]	]	X
cana-3495	249	5	b.	b.	PROPN
cana-3495	249	6	sangeetha	sangeetha	PROPN
cana-3495	249	7	,	,	PUNCT
cana-3495	249	8	rvs	rvs	NOUN
cana-3495	249	9	praveen	praveen	PROPN
cana-3495	249	10	,	,	PUNCT
cana-3495	249	11	k.	k.	PROPN
cana-3495	249	12	sivakumar	sivakumar	PROPN
cana-3495	249	13	,	,	PUNCT
cana-3495	249	14	deshmukh	deshmukh	PROPN
cana-3495	249	15	narendra	narendra	PROPN
cana-3495	249	16	pandurang	pandurang	PROPN
cana-3495	249	17	,	,	PUNCT
cana-3495	249	18	deepak	deepak	PROPN
cana-3495	249	19	sundrani	sundrani	PROPN
cana-3495	249	20	,	,	PUNCT
cana-3495	249	21	k.	k.	PROPN
cana-3495	249	22	soujanya	soujanya	PROPN
cana-3495	249	23	.	.	PUNCT
cana-3495	250	1	(	(	PUNCT
cana-3495	250	2	2024	2024	NUM
cana-3495	250	3	)	)	PUNCT
cana-3495	250	4	.	.	PUNCT
cana-3495	251	1	behavioural	behavioural	ADJ
cana-3495	251	2	economics	economic	NOUN
cana-3495	251	3	and	and	CCONJ
cana-3495	251	4	consumer	consumer	NOUN
cana-3495	251	5	decision	decision	NOUN
cana-3495	251	6	-	-	PUNCT
cana-3495	251	7	making	making	NOUN
cana-3495	251	8	:	:	PUNCT
cana-3495	251	9	a	a	DET
cana-3495	251	10	study	study	NOUN
cana-3495	251	11	of	of	ADP
cana-3495	251	12	financial	financial	ADJ
cana-3495	251	13	products	product	NOUN
cana-3495	251	14	.	.	PUNCT
cana-3495	252	1	european	european	ADJ
cana-3495	252	2	economic	economic	ADJ
cana-3495	252	3	letters	letter	NOUN
cana-3495	252	4	(	(	PUNCT
cana-3495	252	5	eel	eel	NOUN
cana-3495	252	6	)	)	PUNCT
cana-3495	252	7	,	,	PUNCT
cana-3495	252	8	14(3	14(3	NUM
cana-3495	252	9	)	)	PUNCT
cana-3495	252	10	,	,	PUNCT
cana-3495	252	11	2441–2450	2441–2450	NUM
cana-3495	252	12	.	.	PUNCT
cana-3495	253	1	[	[	X
cana-3495	253	2	20	20	NUM
cana-3495	253	3	]	]	X
cana-3495	253	4	devyani	devyani	PROPN
cana-3495	253	5	chatterji	chatterji	PROPN
cana-3495	253	6	,	,	PUNCT
cana-3495	253	7	raghvendra	raghvendra	PROPN
cana-3495	253	8	,	,	PUNCT
cana-3495	253	9	rvs	rvs	NOUN
cana-3495	253	10	praveen	praveen	PROPN
cana-3495	253	11	,	,	PUNCT
cana-3495	253	12	chaitanya	chaitanya	PROPN
cana-3495	253	13	koneti	koneti	PROPN
cana-3495	253	14	,	,	PUNCT
cana-3495	253	15	sumi	sumi	PROPN
cana-3495	253	16	alex	alex	PROPN
cana-3495	253	17	,	,	PUNCT
cana-3495	253	18	deeja	deeja	PROPN
cana-3495	253	19	s.	s.	PROPN
cana-3495	253	20	(	(	PUNCT
cana-3495	253	21	2024	2024	NUM
cana-3495	253	22	)	)	PUNCT
cana-3495	253	23	.	.	PUNCT
cana-3495	254	1	challenge	challenge	NOUN
cana-3495	254	2	and	and	CCONJ
cana-3495	254	3	impact	impact	NOUN
cana-3495	254	4	and	and	CCONJ
cana-3495	254	5	role	role	NOUN
cana-3495	254	6	of	of	ADP
cana-3495	254	7	innovation	innovation	NOUN
cana-3495	254	8	and	and	CCONJ
cana-3495	254	9	entrepreneurship	entrepreneurship	NOUN
cana-3495	254	10	in	in	ADP
cana-3495	254	11	business	business	NOUN
cana-3495	254	12	growth	growth	NOUN
cana-3495	254	13	.	.	PUNCT
cana-3495	255	1	european	european	ADJ
cana-3495	255	2	economic	economic	ADJ
cana-3495	255	3	letters	letter	NOUN
cana-3495	255	4	(	(	PUNCT
cana-3495	255	5	eel	eel	NOUN
cana-3495	255	6	)	)	PUNCT
cana-3495	255	7	,	,	PUNCT
cana-3495	255	8	14(3	14(3	NUM
cana-3495	255	9	)	)	PUNCT
cana-3495	255	10	,	,	PUNCT
cana-3495	255	11	1141	1141	NUM
cana-3495	255	12	–	–	PUNCT
cana-3495	255	13	1149	1149	NUM
cana-3495	255	14	.	.	PUNCT
cana-3495	256	1	https://doi.org/10.52783/eel.v14i3.1875	https://doi.org/10.52783/eel.v14i3.1875	PRON
cana-3495	256	2	[	[	X
cana-3495	256	3	21	21	NUM
cana-3495	256	4	]	]	X
cana-3495	256	5	sandeep	sandeep	PROPN
cana-3495	256	6	lopez	lopez	PROPN
cana-3495	256	7	,	,	PUNCT
cana-3495	256	8	dr	dr	PROPN
cana-3495	256	9	.	.	PROPN
cana-3495	256	10	vani	vani	PROPN
cana-3495	256	11	sarada	sarada	PROPN
cana-3495	256	12	,	,	PUNCT
cana-3495	256	13	dr	dr	PROPN
cana-3495	256	14	.	.	PROPN
cana-3495	256	15	rvs	rvs	PROPN
cana-3495	256	16	praveen	praveen	PROPN
cana-3495	256	17	,	,	PUNCT
cana-3495	256	18	anita	anita	PROPN
cana-3495	256	19	pandey	pandey	PROPN
cana-3495	256	20	,	,	PUNCT
cana-3495	256	21	monalisa	monalisa	PROPN
cana-3495	256	22	khuntia	khuntia	PROPN
cana-3495	256	23	,	,	PUNCT
cana-3495	256	24	dr	dr	PROPN
cana-3495	256	25	bhadrappa	bhadrappa	PROPN
cana-3495	256	26	haralayya	haralayya	NOUN
cana-3495	256	27	,	,	PUNCT
cana-3495	256	28	"	"	PUNCT
cana-3495	256	29	artificial	artificial	ADJ
cana-3495	256	30	intelligence	intelligence	NOUN
cana-3495	256	31	challenges	challenge	NOUN
cana-3495	256	32	and	and	CCONJ
cana-3495	256	33	role	role	NOUN
cana-3495	256	34	for	for	ADP
cana-3495	256	35	sustainable	sustainable	ADJ
cana-3495	256	36	education	education	NOUN
cana-3495	256	37	in	in	ADP
cana-3495	256	38	india	india	PROPN
cana-3495	256	39	:	:	PUNCT
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cana-3495	258	1	no	no	NOUN
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cana-3495	259	8	:	:	PUNCT
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cana-3495	259	11	133x	133x	NUM
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cana-3495	259	13	32	32	NUM
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cana-3495	260	2	(	(	PUNCT
cana-3495	260	3	2025	2025	NUM
cana-3495	260	4	)	)	PUNCT
cana-3495	260	5	921	921	NUM
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cana-3495	260	7	3	3	NUM
cana-3495	260	8	(	(	PUNCT
cana-3495	260	9	2024	2024	NUM
cana-3495	260	10	):	):	PUNCT
cana-3495	260	11	lib	lib	PROPN
cana-3495	260	12	pro	pro	PROPN
cana-3495	260	13	.	.	PROPN
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cana-3495	260	15	)	)	PUNCT
cana-3495	260	16	,	,	PUNCT
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cana-3495	260	20	2024	2024	NUM
cana-3495	260	21	(	(	PUNCT
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cana-3495	260	23	:	:	PUNCT
cana-3495	260	24	31	31	NUM
cana-3495	260	25	-	-	SYM
cana-3495	260	26	07	07	NUM
cana-3495	260	27	-	-	PUNCT
cana-3495	260	28	2024	2024	NUM
cana-3495	260	29	)	)	PUNCT
cana-3495	260	30	,	,	PUNCT
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cana-3495	260	32	:	:	PUNCT
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cana-3495	260	34	[	[	X
cana-3495	260	35	22	22	NUM
cana-3495	260	36	]	]	X
cana-3495	260	37	dr	dr	PROPN
cana-3495	260	38	.	.	PROPN
cana-3495	260	39	m.	m.	PROPN
cana-3495	260	40	manikandan	manikandan	PROPN
cana-3495	260	41	,	,	PUNCT
cana-3495	260	42	virendra	virendra	PROPN
cana-3495	260	43	jain	jain	PROPN
cana-3495	260	44	,	,	PUNCT
cana-3495	260	45	chaitanya	chaitanya	PROPN
cana-3495	260	46	koneti	koneti	PROPN
cana-3495	260	47	,	,	PUNCT
cana-3495	260	48	vinayak	vinayak	PROPN
cana-3495	260	49	musale	musale	PROPN
cana-3495	260	50	,	,	PUNCT
cana-3495	260	51	dr	dr	PROPN
cana-3495	260	52	.	.	PROPN
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cana-3495	260	55	,	,	PUNCT
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cana-3495	260	58	,	,	PUNCT
cana-3495	260	59	"	"	PUNCT
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cana-3495	260	62	as	as	ADP
cana-3495	260	63	a	a	DET
cana-3495	260	64	decentralized	decentralize	VERB
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cana-3495	260	66	for	for	ADP
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cana-3495	260	71	:	:	PUNCT
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cana-3495	260	73	beyond	beyond	ADP
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cana-3495	260	75	in	in	ADP
cana-3495	260	76	supply	supply	NOUN
cana-3495	260	77	chain	chain	NOUN
cana-3495	260	78	management	management	NOUN
cana-3495	260	79	and	and	CCONJ
cana-3495	260	80	healthcare	healthcare	PROPN
cana-3495	260	81	"	"	PUNCT
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cana-3495	261	1	no	no	NOUN
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cana-3495	261	4	(	(	PUNCT
cana-3495	261	5	2024	2024	NUM
cana-3495	261	6	):	):	PUNCT
cana-3495	261	7	lib	lib	PROPN
cana-3495	261	8	pro	pro	PROPN
cana-3495	261	9	.	.	PROPN
cana-3495	261	10	44(3	44(3	NOUN
cana-3495	261	11	)	)	PUNCT
cana-3495	261	12	,	,	PUNCT
cana-3495	261	13	jul	jul	PROPN
cana-3495	261	14	-	-	PUNCT
cana-3495	261	15	dec	dec	PROPN
cana-3495	261	16	2024	2024	NUM
cana-3495	261	17	(	(	PUNCT
cana-3495	261	18	published	publish	VERB
cana-3495	261	19	:	:	PUNCT
cana-3495	261	20	3107	3107	NUM
cana-3495	261	21	-	-	SYM
cana-3495	261	22	2024	2024	NUM
cana-3495	261	23	)	)	PUNCT
cana-3495	261	24	,	,	PUNCT
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cana-3495	261	26	:	:	PUNCT
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cana-3495	261	29	23	23	NUM
cana-3495	261	30	]	]	X
cana-3495	261	31	dr	dr	PROPN
cana-3495	261	32	.	.	PROPN
cana-3495	261	33	j.	j.	PROPN
cana-3495	261	34	johnsi	johnsi	PROPN
cana-3495	261	35	priya	priya	PROPN
cana-3495	261	36	,	,	PUNCT
cana-3495	261	37	dr	dr	PROPN
cana-3495	261	38	.	.	PROPN
cana-3495	261	39	vani	vani	PROPN
cana-3495	261	40	sarada	sarada	PROPN
cana-3495	261	41	,	,	PUNCT
cana-3495	261	42	dr	dr	PROPN
cana-3495	261	43	.	.	PROPN
cana-3495	261	44	rvs	rvs	PROPN
cana-3495	261	45	praveen	praveen	PROPN
cana-3495	261	46	,	,	PUNCT
cana-3495	261	47	dr	dr	PROPN
cana-3495	261	48	.	.	PROPN
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cana-3495	261	50	pratap	pratap	PROPN
cana-3495	261	51	singh	singh	PROPN
cana-3495	261	52	,	,	PUNCT
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cana-3495	261	54	.	.	PROPN
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cana-3495	261	58	,	,	PUNCT
cana-3495	261	59	dr	dr	PROPN
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cana-3495	261	64	,	,	PUNCT
cana-3495	261	65	"	"	PUNCT
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cana-3495	261	72	:	:	PUNCT
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cana-3495	261	74	theory	theory	NOUN
cana-3495	261	75	with	with	ADP
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cana-3495	261	77	"	"	PUNCT
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cana-3495	263	2	.	.	NOUN
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cana-3495	263	4	(	(	PUNCT
cana-3495	263	5	2024	2024	NUM
cana-3495	263	6	):	):	PUNCT
cana-3495	263	7	lib	lib	PROPN
cana-3495	263	8	pro	pro	PROPN
cana-3495	263	9	.	.	PROPN
cana-3495	263	10	44(3	44(3	NOUN
cana-3495	263	11	)	)	PUNCT
cana-3495	263	12	,	,	PUNCT
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cana-3495	263	14	-	-	PUNCT
cana-3495	263	15	dec	dec	PROPN
cana-3495	263	16	2024	2024	NUM
cana-3495	263	17	(	(	PUNCT
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cana-3495	263	19	:	:	PUNCT
cana-3495	263	20	31	31	NUM
cana-3495	263	21	-	-	SYM
cana-3495	263	22	07	07	NUM
cana-3495	263	23	-	-	PUNCT
cana-3495	263	24	2024	2024	NUM
cana-3495	263	25	)	)	PUNCT
cana-3495	263	26	,	,	PUNCT
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cana-3495	263	28	:	:	PUNCT
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cana-3495	263	30	[	[	X
cana-3495	263	31	24	24	NUM
cana-3495	263	32	]	]	X
cana-3495	263	33	dr	dr	PROPN
cana-3495	263	34	.	.	PROPN
cana-3495	263	35	ipsita	ipsita	PROPN
cana-3495	263	36	nayak	nayak	PROPN
cana-3495	263	37	,	,	PUNCT
cana-3495	263	38	dr	dr	PROPN
cana-3495	263	39	.	.	PROPN
cana-3495	263	40	rvs	rvs	PROPN
cana-3495	263	41	praveen	praveen	PROPN
cana-3495	263	42	,	,	PUNCT
cana-3495	263	43	narender	narender	X
cana-3495	263	44	chinthamu	chinthamu	PROPN
cana-3495	263	45	,	,	PUNCT
cana-3495	263	46	dr	dr	PROPN
cana-3495	263	47	.	.	PROPN
cana-3495	263	48	pranati	pranati	PROPN
cana-3495	263	49	satapathy	satapathy	ADJ
cana-3495	263	50	,	,	PUNCT
cana-3495	263	51	ravi	ravi	NOUN
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cana-3495	263	53	khetre	khetre	PROPN
cana-3495	263	54	,	,	PUNCT
cana-3495	263	55	dr	dr	PROPN
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cana-3495	263	59	,	,	PUNCT
cana-3495	263	60	"	"	PUNCT
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cana-3495	263	73	and	and	CCONJ
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cana-3495	263	75	"	"	PUNCT
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cana-3495	264	4	(	(	PUNCT
cana-3495	264	5	2024	2024	NUM
cana-3495	264	6	):	):	PUNCT
cana-3495	264	7	lib	lib	PROPN
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cana-3495	264	11	)	)	PUNCT
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cana-3495	264	23	-	-	PUNCT
cana-3495	264	24	2024	2024	NUM
cana-3495	264	25	)	)	PUNCT
cana-3495	264	26	,	,	PUNCT
cana-3495	264	27	doi	doi	NOUN
cana-3495	264	28	:	:	PUNCT
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cana-3495	264	30	,	,	PUNCT
cana-3495	264	31	keywords	keyword	NOUN
cana-3495	264	32	:	:	PUNCT
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cana-3495	264	34	leadership	leadership	NOUN
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cana-3495	264	37	-	-	ADJ
cana-3495	264	38	cultural	cultural	ADJ
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cana-3495	264	40	,	,	PUNCT
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cana-3495	264	43	,	,	PUNCT
cana-3495	264	44	comparative	comparative	ADJ
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cana-3495	264	46	,	,	PUNCT
cana-3495	264	47	leadership	leadership	NOUN
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cana-3495	264	49	,	,	PUNCT
cana-3495	264	50	cultural	cultural	ADJ
cana-3495	264	51	adaptability	adaptability	NOUN
cana-3495	264	52	[	[	X
cana-3495	264	53	25	25	NUM
cana-3495	264	54	]	]	X
cana-3495	264	55	dr	dr	PROPN
cana-3495	264	56	.	.	PROPN
cana-3495	264	57	rvs	rvs	PROPN
cana-3495	264	58	praveen	praveen	PROPN
cana-3495	264	59	,	,	PUNCT
cana-3495	264	60	dr	dr	PROPN
cana-3495	264	61	.	.	PROPN
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cana-3495	264	76	kanchan	kanchan	PROPN
cana-3495	264	77	yadav	yadav	PROPN
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cana-3495	264	83	and	and	CCONJ
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cana-3495	265	6	):	):	PUNCT
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cana-3495	265	19	:	:	PUNCT
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cana-3495	265	21	-	-	SYM
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cana-3495	265	23	-	-	PUNCT
cana-3495	265	24	2024	2024	NUM
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cana-3495	265	26	,	,	PUNCT
cana-3495	265	27	doi	doi	NOUN
cana-3495	265	28	:	:	PUNCT
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cana-3495	265	30	,	,	PUNCT
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cana-3495	265	35	,	,	PUNCT
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cana-3495	265	39	deep	deep	ADJ
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cana-3495	265	41	,	,	PUNCT
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cana-3495	265	45	,	,	PUNCT
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cana-3495	265	47	.	.	PUNCT
cana-3495	266	1	[	[	X
cana-3495	266	2	26	26	NUM
cana-3495	266	3	]	]	X
cana-3495	266	4	dr	dr	PROPN
cana-3495	266	5	.	.	PROPN
cana-3495	266	6	mohammad	mohammad	PROPN
cana-3495	266	7	ahmar	ahmar	PROPN
cana-3495	266	8	khan	khan	PROPN
cana-3495	266	9	,	,	PUNCT
cana-3495	266	10	loyola	loyola	PROPN
cana-3495	266	11	jasmine	jasmine	PROPN
cana-3495	266	12	j	j	PROPN
cana-3495	266	13	,	,	PUNCT
cana-3495	266	14	dr	dr	PROPN
cana-3495	266	15	.	.	PROPN
cana-3495	266	16	rvs	rvs	PROPN
cana-3495	266	17	praveen	praveen	PROPN
cana-3495	266	18	,	,	PUNCT
cana-3495	266	19	kala	kala	PROPN
cana-3495	266	20	vijaya	vijaya	PROPN
cana-3495	266	21	kumari	kumari	PROPN
cana-3495	266	22	,	,	PUNCT
cana-3495	266	23	dr	dr	PROPN
cana-3495	266	24	.	.	PROPN
cana-3495	266	25	bachchu	bachchu	PROPN
cana-3495	266	26	lal	lal	PROPN
cana-3495	266	27	gupta	gupta	PROPN
cana-3495	266	28	,	,	PUNCT
cana-3495	266	29	narender	narender	X
cana-3495	266	30	chinthamu	chinthamu	ADJ
cana-3495	266	31	,	,	PUNCT
cana-3495	266	32	"	"	PUNCT
cana-3495	266	33	machine	machine	NOUN
cana-3495	266	34	learning	learning	NOUN
cana-3495	266	35	approaches	approach	NOUN
cana-3495	266	36	for	for	ADP
cana-3495	266	37	anticipating	anticipate	VERB
cana-3495	266	38	mechanical	mechanical	ADJ
cana-3495	266	39	system	system	NOUN
cana-3495	266	40	failures	failure	NOUN
cana-3495	266	41	"	"	PUNCT
cana-3495	266	42	,	,	PUNCT
cana-3495	266	43	vol	vol	NOUN
cana-3495	266	44	.	.	PROPN
cana-3495	266	45	44	44	NUM
cana-3495	266	46	no	no	NOUN
cana-3495	266	47	.	.	NOUN
cana-3495	266	48	3	3	NUM
cana-3495	266	49	(	(	PUNCT
cana-3495	266	50	2024	2024	NUM
cana-3495	266	51	):	):	PUNCT
cana-3495	266	52	lib	lib	PROPN
cana-3495	266	53	pro	pro	PROPN
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cana-3495	266	56	)	)	PUNCT
cana-3495	266	57	,	,	PUNCT
cana-3495	266	58	jul	jul	PROPN
cana-3495	266	59	-	-	PUNCT
cana-3495	266	60	dec	dec	PROPN
cana-3495	266	61	2024	2024	NUM
cana-3495	266	62	(	(	PUNCT
cana-3495	266	63	published	publish	VERB
cana-3495	266	64	:	:	PUNCT
cana-3495	266	65	31	31	NUM
cana-3495	266	66	-	-	SYM
cana-3495	266	67	07	07	NUM
cana-3495	266	68	-	-	PUNCT
cana-3495	266	69	2024	2024	NUM
cana-3495	266	70	)	)	PUNCT
cana-3495	266	71	,	,	PUNCT
cana-3495	266	72	doi	doi	NOUN
cana-3495	266	73	:	:	PUNCT
cana-3495	266	74	https://doi.org/10.48165/bapas.2024.44.2.1	https://doi.org/10.48165/bapas.2024.44.2.1	NUM
cana-3495	266	75	,	,	PUNCT
cana-3495	266	76	keywords	keyword	NOUN
cana-3495	266	77	:	:	PUNCT
cana-3495	266	78	machine	machine	NOUN
cana-3495	266	79	learning	learning	NOUN
cana-3495	266	80	,	,	PUNCT
cana-3495	266	81	techniques	technique	NOUN
cana-3495	266	82	,	,	PUNCT
cana-3495	266	83	prediction	prediction	NOUN
cana-3495	266	84	,	,	PUNCT
cana-3495	266	85	mechanical	mechanical	ADJ
cana-3495	266	86	[	[	X
cana-3495	266	87	27	27	NUM
cana-3495	266	88	]	]	X
cana-3495	266	89	ashish	ashish	PROPN
cana-3495	266	90	jain	jain	PROPN
cana-3495	266	91	,	,	PUNCT
cana-3495	266	92	dr	dr	PROPN
cana-3495	266	93	.	.	PROPN
cana-3495	266	94	rvs	rvs	PROPN
cana-3495	266	95	praveen	praveen	PROPN
cana-3495	266	96	,	,	PUNCT
cana-3495	266	97	vinayak	vinayak	PROPN
cana-3495	266	98	musale	musale	PROPN
cana-3495	266	99	,	,	PUNCT
cana-3495	266	100	narender	narender	X
cana-3495	266	101	chinthamu	chinthamu	PROPN
cana-3495	266	102	,	,	PUNCT
cana-3495	266	103	yogendra	yogendra	PROPN
cana-3495	266	104	kumar	kumar	PROPN
cana-3495	266	105	,	,	PUNCT
cana-3495	266	106	dr	dr	PROPN
cana-3495	266	107	.	.	PROPN
cana-3495	266	108	b	b	PROPN
cana-3495	266	109	v	v	ADP
cana-3495	266	110	ramakrishna	ramakrishna	PROPN
cana-3495	266	111	,	,	PUNCT
cana-3495	266	112	dr	dr	PROPN
cana-3495	266	113	.	.	PROPN
cana-3495	266	114	anurag	anurag	PROPN
cana-3495	266	115	shrivastava	shrivastava	PROPN
cana-3495	266	116	,	,	PUNCT
cana-3495	266	117	"	"	PUNCT
cana-3495	266	118	quantum	quantum	ADJ
cana-3495	266	119	computing	computing	NOUN
cana-3495	266	120	and	and	CCONJ
cana-3495	266	121	its	its	PRON
cana-3495	266	122	implications	implication	NOUN
cana-3495	266	123	for	for	ADP
cana-3495	266	124	cryptography	cryptography	NOUN
cana-3495	266	125	:	:	PUNCT
cana-3495	266	126	assessing	assess	VERB
cana-3495	266	127	the	the	DET
cana-3495	266	128	security	security	NOUN
cana-3495	266	129	and	and	CCONJ
cana-3495	266	130	efficiency	efficiency	NOUN
cana-3495	266	131	of	of	ADP
cana-3495	266	132	quantum	quantum	ADJ
cana-3495	266	133	algorithms	algorithm	NOUN
cana-3495	266	134	"	"	PUNCT
cana-3495	266	135	,	,	PUNCT
cana-3495	266	136	vol	vol	NOUN
cana-3495	266	137	.	.	PROPN
cana-3495	266	138	44	44	NUM
cana-3495	266	139	no	no	NOUN
cana-3495	266	140	.	.	NOUN
cana-3495	266	141	3	3	NUM
cana-3495	266	142	(	(	PUNCT
cana-3495	266	143	2024	2024	NUM
cana-3495	266	144	):	):	PUNCT
cana-3495	266	145	lib	lib	PROPN
cana-3495	266	146	pro	pro	PROPN
cana-3495	266	147	.	.	PROPN
cana-3495	266	148	44(3	44(3	NOUN
cana-3495	266	149	)	)	PUNCT
cana-3495	266	150	,	,	PUNCT
cana-3495	266	151	jul	jul	PROPN
cana-3495	266	152	-	-	PUNCT
cana-3495	266	153	dec	dec	PROPN
cana-3495	266	154	2024	2024	NUM
cana-3495	266	155	(	(	PUNCT
cana-3495	266	156	published	publish	VERB
cana-3495	266	157	:	:	PUNCT
cana-3495	266	158	31	31	NUM
cana-3495	266	159	-	-	SYM
cana-3495	266	160	07	07	NUM
cana-3495	266	161	-	-	PUNCT
cana-3495	266	162	2024	2024	NUM
cana-3495	266	163	)	)	PUNCT
cana-3495	266	164	,	,	PUNCT
cana-3495	266	165	doi	doi	NOUN
cana-3495	266	166	:	:	PUNCT
cana-3495	266	167	https://doi.org/10.48165/bapas.2024.44.2.1	https://doi.org/10.48165/bapas.2024.44.2.1	NUM
cana-3495	266	168	,	,	PUNCT
cana-3495	266	169	keywords	keyword	NOUN
cana-3495	266	170	:	:	PUNCT
cana-3495	266	171	quantum	quantum	ADJ
cana-3495	266	172	computing	computing	NOUN
cana-3495	266	173	and	and	CCONJ
cana-3495	266	174	communication	communication	NOUN
cana-3495	266	175	,	,	PUNCT
cana-3495	266	176	shor	shor	PROPN
cana-3495	266	177	’s	’s	PART
cana-3495	266	178	algorithm	algorithm	PROPN
cana-3495	266	179	,	,	PUNCT
cana-3495	266	180	grover	grover	PROPN
cana-3495	266	181	’s	’s	PART
cana-3495	266	182	algorithm	algorithm	NOUN
cana-3495	266	183	,	,	PUNCT
cana-3495	266	184	quantum	quantum	ADJ
cana-3495	266	185	key	key	ADJ
cana-3495	266	186	distribution	distribution	NOUN
cana-3495	266	187	,	,	PUNCT
cana-3495	266	188	ntruencrypt	ntruencrypt	PROPN
cana-3495	266	189	[	[	X
cana-3495	266	190	28	28	NUM
cana-3495	266	191	]	]	X
cana-3495	266	192	nagarjuna	nagarjuna	PROPN
cana-3495	266	193	pitty	pitty	PROPN
cana-3495	266	194	,	,	PUNCT
cana-3495	266	195	dr	dr	PROPN
cana-3495	266	196	.	.	PROPN
cana-3495	266	197	rvs	rvs	PROPN
cana-3495	266	198	praveen	praveen	PROPN
cana-3495	266	199	,	,	PUNCT
cana-3495	266	200	virendra	virendra	PROPN
cana-3495	266	201	jain	jain	PROPN
cana-3495	266	202	,	,	PUNCT
cana-3495	266	203	m.	m.	PROPN
cana-3495	266	204	tamilselvam	tamilselvam	PROPN
cana-3495	266	205	,	,	PUNCT
cana-3495	266	206	dr	dr	PROPN
cana-3495	266	207	.	.	PROPN
cana-3495	266	208	d.	d.	PROPN
cana-3495	266	209	haripriya	haripriya	PROPN
cana-3495	266	210	,	,	PUNCT
cana-3495	266	211	saloni	saloni	VERB
cana-3495	266	212	bansal,"cybersecurity	bansal,"cybersecurity	NOUN
cana-3495	266	213	challenges	challenge	NOUN
cana-3495	266	214	in	in	ADP
cana-3495	266	215	the	the	DET
cana-3495	266	216	era	era	NOUN
cana-3495	266	217	of	of	ADP
cana-3495	266	218	the	the	DET
cana-3495	266	219	internet	internet	NOUN
cana-3495	266	220	of	of	ADP
cana-3495	266	221	things	thing	NOUN
cana-3495	266	222	(	(	PUNCT
cana-3495	266	223	iot	iot	ADJ
cana-3495	266	224	):	):	PUNCT
cana-3495	266	225	developing	develop	VERB
cana-3495	266	226	robust	robust	ADJ
cana-3495	266	227	frameworks	framework	NOUN
cana-3495	266	228	for	for	ADP
cana-3495	266	229	securing	secure	VERB
cana-3495	266	230	connected	connected	ADJ
cana-3495	266	231	devices	device	NOUN
cana-3495	266	232	"	"	PUNCT
cana-3495	266	233	,	,	PUNCT
cana-3495	266	234	vol	vol	NOUN
cana-3495	266	235	.	.	PROPN
cana-3495	266	236	44	44	NUM
cana-3495	266	237	no	no	NOUN
cana-3495	266	238	.	.	NOUN
cana-3495	266	239	3	3	NUM
cana-3495	266	240	(	(	PUNCT
cana-3495	266	241	2024	2024	NUM
cana-3495	266	242	):	):	PUNCT
cana-3495	266	243	lib	lib	PROPN
cana-3495	266	244	pro	pro	PROPN
cana-3495	266	245	.	.	PROPN
cana-3495	266	246	44(3	44(3	NOUN
cana-3495	266	247	)	)	PUNCT
cana-3495	266	248	,	,	PUNCT
cana-3495	266	249	jul	jul	PROPN
cana-3495	266	250	-	-	PUNCT
cana-3495	266	251	dec	dec	PROPN
cana-3495	266	252	2024	2024	NUM
cana-3495	266	253	(	(	PUNCT
cana-3495	266	254	published	publish	VERB
cana-3495	266	255	:	:	PUNCT
cana-3495	266	256	31	31	NUM
cana-3495	266	257	-	-	SYM
cana-3495	266	258	07	07	NUM
cana-3495	266	259	-	-	PUNCT
cana-3495	266	260	2024	2024	NUM
cana-3495	266	261	)	)	PUNCT
cana-3495	266	262	,	,	PUNCT
cana-3495	266	263	doi	doi	NOUN
cana-3495	266	264	:	:	PUNCT
cana-3495	266	265	https://doi.org/10.48165/bapas.2024.44.2.1	https://doi.org/10.48165/bapas.2024.44.2.1	NUM
cana-3495	266	266	,	,	PUNCT
cana-3495	266	267	keywords	keyword	NOUN
cana-3495	266	268	:	:	PUNCT
cana-3495	266	269	iot	iot	ADJ
cana-3495	266	270	security	security	NOUN
cana-3495	266	271	,	,	PUNCT
cana-3495	266	272	machine	machine	NOUN
cana-3495	266	273	learning	learning	NOUN
cana-3495	266	274	,	,	PUNCT
cana-3495	266	275	anomaly	anomaly	NOUN
cana-3495	266	276	detection	detection	NOUN
cana-3495	266	277	,	,	PUNCT
cana-3495	266	278	deep	deep	ADJ
cana-3495	266	279	neural	neural	ADJ
cana-3495	266	280	networks	network	NOUN
cana-3495	266	281	,	,	PUNCT
cana-3495	266	282	random	random	ADJ
cana-3495	266	283	forest	forest	NOUN
cana-3495	266	284	.	.	PUNCT
cana-3495	267	1	[	[	X
cana-3495	267	2	29	29	NUM
cana-3495	267	3	]	]	X
cana-3495	267	4	ds	ds	ADJ
cana-3495	267	5	hundekari	hundekari	NOUN
cana-3495	267	6	,	,	PUNCT
cana-3495	267	7	,	,	PUNCT
cana-3495	267	8	potential	potential	NOUN
cana-3495	267	9	of	of	ADP
cana-3495	267	10	artificial	artificial	ADJ
cana-3495	267	11	intelligence	intelligence	NOUN
cana-3495	267	12	in	in	ADP
cana-3495	267	13	boosting	boost	VERB
cana-3495	267	14	employee	employee	NOUN
cana-3495	267	15	retention	retention	NOUN
cana-3495	267	16	in	in	ADP
cana-3495	267	17	the	the	DET
cana-3495	267	18	human	human	ADJ
cana-3495	267	19	resource	resource	NOUN
cana-3495	267	20	industry	industry	NOUN
cana-3495	267	21	,	,	PUNCT
cana-3495	267	22	international	international	ADJ
cana-3495	267	23	journal	journal	NOUN
cana-3495	267	24	on	on	ADP
cana-3495	267	25	recent	recent	ADJ
cana-3495	267	26	and	and	CCONJ
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cana-3495	267	28	trends	trend	NOUN
cana-3495	267	29	in	in	ADP
cana-3495	267	30	computing	computing	NOUN
cana-3495	267	31	and	and	CCONJ
cana-3495	267	32	.	.	PUNCT
cana-3495	268	1	[	[	X
cana-3495	268	2	30	30	NUM
cana-3495	268	3	]	]	X
cana-3495	268	4	ds	ds	ADJ
cana-3495	268	5	hundekari	hundekari	NOUN
cana-3495	268	6	,	,	PUNCT
cana-3495	268	7	design	design	NOUN
cana-3495	268	8	and	and	CCONJ
cana-3495	268	9	implementation	implementation	NOUN
cana-3495	268	10	of	of	ADP
cana-3495	268	11	deep	deep	ADJ
cana-3495	268	12	learning	learning	NOUN
cana-3495	268	13	method	method	NOUN
cana-3495	268	14	for	for	ADP
cana-3495	268	15	disease	disease	NOUN
cana-3495	268	16	identification	identification	NOUN
cana-3495	268	17	in	in	ADP
cana-3495	268	18	plant	plant	NOUN
cana-3495	268	19	leaf	leaf	NOUN
cana-3495	268	20	international	international	ADJ
cana-3495	268	21	journal	journal	NOUN
cana-3495	268	22	on	on	ADP
cana-3495	268	23	recent	recent	ADJ
cana-3495	268	24	and	and	CCONJ
cana-3495	268	25	innovation	innovation	NOUN
cana-3495	268	26	trends	trend	NOUN
cana-3495	268	27	in	in	ADP
cana-3495	268	28	computing	computing	NOUN
cana-3495	268	29	and	and	CCONJ
cana-3495	269	1	[	[	X
cana-3495	269	2	31	31	NUM
cana-3495	269	3	]	]	X
cana-3495	269	4	s	s	PART
cana-3495	269	5	gupta	gupta	PROPN
cana-3495	269	6	,	,	PUNCT
cana-3495	269	7	n	n	PRON
cana-3495	269	8	singhal	singhal	NOUN
cana-3495	269	9	,	,	PUNCT
cana-3495	269	10	s	s	PART
cana-3495	269	11	hundekari	hundekari	NOUN
cana-3495	269	12	,	,	PUNCT
cana-3495	269	13	k	k	PROPN
cana-3495	269	14	upreti	upreti	PROPN
cana-3495	269	15	,	,	PUNCT
cana-3495	269	16	a	a	DET
cana-3495	269	17	gautam	gautam	PROPN
cana-3495	269	18	,	,	PUNCT
cana-3495	269	19	p	p	PROPN
cana-3495	269	20	kumar	kumar	PROPN
cana-3495	269	21	,	,	PUNCT
cana-3495	269	22	r	r	PROPN
cana-3495	269	23	verma	verma	PROPN
cana-3495	269	24	,	,	PUNCT
cana-3495	269	25	aspect	aspect	NOUN
cana-3495	269	26	based	base	VERB
cana-3495	269	27	feature	feature	NOUN
cana-3495	269	28	extraction	extraction	NOUN
cana-3495	269	29	in	in	ADP
cana-3495	269	30	sentiment	sentiment	NOUN
cana-3495	269	31	analysis	analysis	NOUN
cana-3495	269	32	using	use	VERB
cana-3495	269	33	bi	bi	PROPN
cana-3495	269	34	-	-	PROPN
cana-3495	269	35	gru	gru	NOUN
cana-3495	269	36	-	-	ADJ
cana-3495	269	37	lstm	lstm	ADJ
cana-3495	269	38	model	model	NOUN
cana-3495	269	39	,	,	PUNCT
cana-3495	269	40	journal	journal	NOUN
cana-3495	269	41	of	of	ADP
cana-3495	269	42	mobile	mobile	ADJ
cana-3495	269	43	multimedia	multimedia	NOUN
cana-3495	269	44	,	,	PUNCT
cana-3495	269	45	935	935	NUM
cana-3495	269	46	-	-	SYM
cana-3495	269	47	960	960	NUM
cana-3495	270	1	[	[	X
cana-3495	270	2	32	32	NUM
cana-3495	270	3	]	]	PUNCT
cana-3495	270	4	pr	pr	NOUN
cana-3495	270	5	kshirsagar	kshirsagar	NOUN
cana-3495	270	6	,	,	PUNCT
cana-3495	270	7	k	k	PROPN
cana-3495	270	8	upreti	upreti	PROPN
cana-3495	270	9	,	,	PUNCT
cana-3495	270	10	vs	vs	ADP
cana-3495	270	11	kushwah	kushwah	PROPN
cana-3495	270	12	,	,	PUNCT
cana-3495	270	13	s	s	VERB
cana-3495	270	14	hundekari	hundekari	NOUN
cana-3495	270	15	,	,	PUNCT
cana-3495	270	16	d	d	PROPN
cana-3495	270	17	jain	jain	PROPN
cana-3495	270	18	,	,	PUNCT
cana-3495	270	19	ak	ak	PROPN
cana-3495	270	20	pandey	pandey	PROPN
cana-3495	270	21	,	,	PUNCT
cana-3495	270	22	prediction	prediction	NOUN
cana-3495	270	23	and	and	CCONJ
cana-3495	270	24	modeling	modeling	NOUN
cana-3495	270	25	of	of	ADP
cana-3495	270	26	mechanical	mechanical	ADJ
cana-3495	270	27	properties	property	NOUN
cana-3495	270	28	of	of	ADP
cana-3495	270	29	concrete	concrete	NOUN
cana-3495	270	30	modified	modify	VERB
cana-3495	270	31	with	with	ADP
cana-3495	270	32	ceramic	ceramic	ADJ
cana-3495	270	33	waste	waste	NOUN
cana-3495	270	34	using	use	VERB
cana-3495	270	35	artificial	artificial	ADJ
cana-3495	270	36	neural	neural	ADJ
cana-3495	270	37	network	network	NOUN
cana-3495	270	38	and	and	CCONJ
cana-3495	270	39	regression	regression	NOUN
cana-3495	270	40	model	model	NOUN
cana-3495	270	41	,	,	PUNCT
cana-3495	270	42	signal	signal	NOUN
cana-3495	270	43	,	,	PUNCT
cana-3495	270	44	image	image	NOUN
cana-3495	270	45	and	and	CCONJ
cana-3495	270	46	video	video	NOUN
cana-3495	270	47	processing	processing	NOUN
cana-3495	270	48	,	,	PUNCT
cana-3495	270	49	1	1	NUM
cana-3495	270	50	-	-	SYM
cana-3495	270	51	15	15	NUM
cana-3495	270	52	[	[	SYM
cana-3495	270	53	33	33	NUM
cana-3495	270	54	]	]	X
cana-3495	270	55	st	st	PROPN
cana-3495	270	56	siddiqui	siddiqui	PROPN
cana-3495	270	57	,	,	PUNCT
cana-3495	270	58	h	h	PROPN
cana-3495	270	59	khan	khan	PROPN
cana-3495	270	60	,	,	PUNCT
cana-3495	270	61	mi	mi	PROPN
cana-3495	270	62	alam	alam	PROPN
cana-3495	270	63	,	,	PUNCT
cana-3495	270	64	k	k	PROPN
cana-3495	270	65	upreti	upreti	PROPN
cana-3495	270	66	,	,	PUNCT
cana-3495	270	67	s	s	X
cana-3495	270	68	panwar	panwar	NOUN
cana-3495	270	69	,	,	PUNCT
cana-3495	270	70	s	s	PART
cana-3495	270	71	hundekari	hundekari	NOUN
cana-3495	270	72	,	,	PUNCT
cana-3495	270	73	a	a	DET
cana-3495	270	74	systematic	systematic	ADJ
cana-3495	270	75	review	review	NOUN
cana-3495	270	76	of	of	ADP
cana-3495	270	77	the	the	DET
cana-3495	270	78	future	future	NOUN
cana-3495	270	79	of	of	ADP
cana-3495	270	80	education	education	NOUN
cana-3495	270	81	in	in	ADP
cana-3495	270	82	perspective	perspective	NOUN
cana-3495	270	83	of	of	ADP
cana-3495	270	84	block	block	NOUN
cana-3495	270	85	chain	chain	NOUN
cana-3495	270	86	,	,	PUNCT
cana-3495	270	87	journal	journal	NOUN
cana-3495	270	88	of	of	ADP
cana-3495	270	89	mobile	mobile	ADJ
cana-3495	270	90	multimedia	multimedia	NOUN
cana-3495	270	91	,	,	PUNCT
cana-3495	270	92	1221	1221	NUM
cana-3495	270	93	-	-	SYM
cana-3495	270	94	1254	1254	NUM
cana-3495	270	95	[	[	X
cana-3495	270	96	34	34	NUM
cana-3495	270	97	]	]	PUNCT
cana-3495	270	98	venata	venata	PROPN
cana-3495	270	99	sai	sai	PROPN
cana-3495	270	100	chandra	chandra	PROPN
cana-3495	270	101	prasanth	prasanth	PROPN
cana-3495	270	102	narisetty	narisetty	PROPN
cana-3495	270	103	and	and	CCONJ
cana-3495	270	104	tejaswi	tejaswi	PROPN
cana-3495	270	105	maddineni	maddineni	NOUN
cana-3495	270	106	,	,	PUNCT
cana-3495	270	107	revolutionizing	revolutionize	VERB
cana-3495	270	108	mobility	mobility	NOUN
cana-3495	270	109	:	:	PUNCT
cana-3495	270	110	the	the	DET
cana-3495	270	111	latest	late	ADJ
cana-3495	270	112	advancements	advancement	NOUN
cana-3495	270	113	in	in	ADP
cana-3495	270	114	autonomous	autonomous	ADJ
cana-3495	270	115	vehicle	vehicle	NOUN
cana-3495	270	116	technology	technology	NOUN
cana-3495	270	117	,	,	PUNCT
cana-3495	270	118	nanotechnology	nanotechnology	NOUN
cana-3495	270	119	perceptions	perception	NOUN
cana-3495	270	120	,	,	PUNCT
cana-3495	270	121	20	20	NUM
cana-3495	270	122	no	no	NOUN
cana-3495	270	123	.	.	PUNCT
cana-3495	271	1	s12(2024),1354–1367	s12(2024),1354–1367	X
cana-3495	271	2	.	.	PUNCT
cana-3495	272	1	[	[	X
cana-3495	272	2	35	35	NUM
cana-3495	272	3	]	]	X
cana-3495	272	4	venata	venata	NOUN
cana-3495	272	5	sai	sai	PROPN
cana-3495	272	6	chandra	chandra	PROPN
cana-3495	272	7	prasanth	prasanth	PROPN
cana-3495	272	8	narisetty	narisetty	PROPN
cana-3495	272	9	and	and	CCONJ
cana-3495	272	10	tejaswi	tejaswi	PROPN
cana-3495	272	11	maddineni	maddineni	NOUN
cana-3495	272	12	,	,	PUNCT
cana-3495	272	13	powering	power	VERB
cana-3495	272	14	the	the	DET
cana-3495	272	15	future	future	NOUN
cana-3495	272	16	:	:	PUNCT
cana-3495	272	17	innovations	innovation	NOUN
cana-3495	272	18	in	in	ADP
cana-3495	272	19	electric	electric	ADJ
cana-3495	272	20	vehicle	vehicle	NOUN
cana-3495	272	21	battery	battery	NOUN
cana-3495	272	22	recycling	recycling	NOUN
cana-3495	272	23	,	,	PUNCT
cana-3495	272	24	nanotechnology	nanotechnology	NOUN
cana-3495	272	25	perceptions	perception	VERB
cana-3495	272	26	20	20	NUM
cana-3495	272	27	no	no	NOUN
cana-3495	272	28	.	.	PUNCT
cana-3495	273	1	s13	s13	NOUN
cana-3495	273	2	(	(	PUNCT
cana-3495	273	3	2024	2024	NUM
cana-3495	273	4	)	)	PUNCT
cana-3495	273	5	2338	2338	NUM
cana-3495	273	6	-	-	SYM
cana-3495	273	7	2351	2351	NUM
cana-3495	273	8	.	.	PUNCT
cana-3495	274	1	https://scholar.google.com/citations?view_op=view_citation&hl=en&user=acxkjrwaaaaj&citation_for_view=acxkjrwaaaaj:2osognq5qmec	https://scholar.google.com/citations?view_op=view_citation&hl=en&user=acxkjrwaaaaj&citation_for_view=acxkjrwaaaaj:2osognq5qmec	PROPN
cana-3495	275	1	https://scholar.google.com/citations?view_op=view_citation&hl=en&user=acxkjrwaaaaj&citation_for_view=acxkjrwaaaaj:qjmakfhdy7sc	https://scholar.google.com/citations?view_op=view_citation&hl=en&user=acxkjrwaaaaj&citation_for_view=acxkjrwaaaaj:qjmakfhdy7sc	INTJ
cana-3495	275	2	https://scholar.google.com/citations?view_op=view_citation&hl=en&user=acxkjrwaaaaj&citation_for_view=acxkjrwaaaaj:aqlvkmm33-oc	https://scholar.google.com/citations?view_op=view_citation&hl=en&user=acxkjrwaaaaj&citation_for_view=acxkjrwaaaaj:aqlvkmm33-oc	ADJ
cana-3495	275	3	https://scholar.google.com/citations?view_op=view_citation&hl=en&user=acxkjrwaaaaj&citation_for_view=acxkjrwaaaaj:aqlvkmm33-oc	https://scholar.google.com/citations?view_op=view_citation&hl=en&user=acxkjrwaaaaj&citation_for_view=acxkjrwaaaaj:aqlvkmm33-oc	ADJ
cana-3495	275	4	https://scholar.google.com/citations?view_op=view_citation&hl=en&user=acxkjrwaaaaj&citation_for_view=acxkjrwaaaaj:qxl8fj1gzncc	https://scholar.google.com/citations?view_op=view_citation&hl=en&user=acxkjrwaaaaj&citation_for_view=acxkjrwaaaaj:qxl8fj1gzncc	NOUN
cana-3495	275	5	https://scholar.google.com/citations?view_op=view_citation&hl=en&user=acxkjrwaaaaj&citation_for_view=acxkjrwaaaaj:qxl8fj1gzncc	https://scholar.google.com/citations?view_op=view_citation&hl=en&user=acxkjrwaaaaj&citation_for_view=acxkjrwaaaaj:qxl8fj1gzncc	NOUN
cana-3495	275	6	https://scholar.google.com/citations?view_op=view_citation&hl=en&user=acxkjrwaaaaj&citation_for_view=acxkjrwaaaaj:tyk-4ss8fvuc	https://scholar.google.com/citations?view_op=view_citation&hl=en&user=acxkjrwaaaaj&citation_for_view=acxkjrwaaaaj:tyk-4ss8fvuc	NOUN
cana-3495	275	7	https://scholar.google.com/citations?view_op=view_citation&hl=en&user=acxkjrwaaaaj&citation_for_view=acxkjrwaaaaj:tyk-4ss8fvuc	https://scholar.google.com/citations?view_op=view_citation&hl=en&user=acxkjrwaaaaj&citation_for_view=acxkjrwaaaaj:tyk-4ss8fvuc	NOUN