id	sid	tid	token	lemma	pos
cana-5755	1	1	communications	communication	NOUN
cana-5755	1	2	on	on	ADP
cana-5755	1	3	applied	apply	VERB
cana-5755	1	4	nonlinear	nonlinear	ADJ
cana-5755	1	5	analysis	analysis	NOUN
cana-5755	1	6	issn	issn	NOUN
cana-5755	1	7	:	:	PUNCT
cana-5755	1	8	1074	1074	NUM
cana-5755	1	9	-	-	PUNCT
cana-5755	1	10	133x	133x	NUM
cana-5755	1	11	vol	vol	NOUN
cana-5755	1	12	32	32	NUM
cana-5755	1	13	no	no	NOUN
cana-5755	1	14	.	.	PUNCT
cana-5755	2	1	3s	3s	NUM
cana-5755	2	2	(	(	PUNCT
cana-5755	2	3	2025	2025	NUM
cana-5755	2	4	)	)	PUNCT
cana-5755	2	5	789	789	NUM
cana-5755	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5755	2	7	cognitive	cognitive	ADJ
cana-5755	2	8	emotion	emotion	NOUN
cana-5755	2	9	dissection	dissection	NOUN
cana-5755	2	10	framework	framework	NOUN
cana-5755	2	11	:	:	PUNCT
cana-5755	2	12	sentiment	sentiment	NOUN
cana-5755	2	13	inference	inference	NOUN
cana-5755	2	14	via	via	ADP
cana-5755	2	15	large	large	ADJ
cana-5755	2	16	language	language	NOUN
cana-5755	2	17	models	model	NOUN
cana-5755	2	18	nimrah	nimrah	PROPN
cana-5755	2	19	parveen1	parveen1	VERB
cana-5755	2	20	ms	ms	PROPN
cana-5755	2	21	.	.	PROPN
cana-5755	2	22	ashwini	ashwini	PROPN
cana-5755	2	23	bhaskar	bhaskar	NOUN
cana-5755	3	1	gulhane2	gulhane2	PROPN
cana-5755	4	1	dr	dr	PROPN
cana-5755	4	2	.	.	PROPN
cana-5755	4	3	t.k	t.k	PROPN
cana-5755	4	4	.	.	PROPN
cana-5755	4	5	shaik	shaik	PROPN
cana-5755	4	6	shavali3	shavali3	PROPN
cana-5755	4	7	1	1	NUM
cana-5755	4	8	research	research	NOUN
cana-5755	4	9	scholar	scholar	NOUN
cana-5755	4	10	,	,	PUNCT
cana-5755	4	11	dept	dept	NOUN
cana-5755	4	12	.	.	PROPN
cana-5755	4	13	of	of	ADP
cana-5755	4	14	computer	computer	NOUN
cana-5755	4	15	science	science	NOUN
cana-5755	4	16	and	and	CCONJ
cana-5755	4	17	engineering	engineering	NOUN
cana-5755	4	18	,	,	PUNCT
cana-5755	4	19	lords	lords	PROPN
cana-5755	4	20	institute	institute	PROPN
cana-5755	4	21	of	of	ADP
cana-5755	4	22	engineering	engineering	NOUN
cana-5755	4	23	and	and	CCONJ
cana-5755	4	24	technology	technology	NOUN
cana-5755	4	25	,	,	PUNCT
cana-5755	4	26	hyderabad	hyderabad	PROPN
cana-5755	4	27	,	,	PUNCT
cana-5755	4	28	telangana	telangana	PROPN
cana-5755	4	29	2assistant	2assistant	PROPN
cana-5755	4	30	professor	professor	PROPN
cana-5755	4	31	,	,	PUNCT
cana-5755	4	32	dept	dept	NOUN
cana-5755	4	33	.	.	PROPN
cana-5755	4	34	of	of	ADP
cana-5755	4	35	computer	computer	NOUN
cana-5755	4	36	science	science	NOUN
cana-5755	4	37	and	and	CCONJ
cana-5755	4	38	engineering	engineering	NOUN
cana-5755	4	39	,	,	PUNCT
cana-5755	4	40	lords	lords	PROPN
cana-5755	4	41	institute	institute	PROPN
cana-5755	4	42	of	of	ADP
cana-5755	4	43	engineering	engineering	NOUN
cana-5755	4	44	and	and	CCONJ
cana-5755	4	45	technology	technology	NOUN
cana-5755	4	46	,	,	PUNCT
cana-5755	4	47	hyderabad	hyderabad	PROPN
cana-5755	4	48	,	,	PUNCT
cana-5755	4	49	telangana	telangana	PROPN
cana-5755	4	50	3professor	3professor	NUM
cana-5755	4	51	,	,	PUNCT
cana-5755	4	52	dept	dept	NOUN
cana-5755	4	53	.	.	PROPN
cana-5755	4	54	of	of	ADP
cana-5755	4	55	computer	computer	NOUN
cana-5755	4	56	science	science	NOUN
cana-5755	4	57	and	and	CCONJ
cana-5755	4	58	engineering	engineering	NOUN
cana-5755	4	59	,	,	PUNCT
cana-5755	4	60	lords	lords	PROPN
cana-5755	4	61	institute	institute	PROPN
cana-5755	4	62	of	of	ADP
cana-5755	4	63	engineering	engineering	NOUN
cana-5755	4	64	and	and	CCONJ
cana-5755	4	65	technology	technology	NOUN
cana-5755	4	66	,	,	PUNCT
cana-5755	4	67	hyderabad	hyderabad	PROPN
cana-5755	4	68	,	,	PUNCT
cana-5755	4	69	telangana	telangana	PROPN
cana-5755	4	70	article	article	PROPN
cana-5755	4	71	history	history	NOUN
cana-5755	4	72	:	:	PUNCT
cana-5755	4	73	received	receive	VERB
cana-5755	4	74	:	:	PUNCT
cana-5755	4	75	12	12	NUM
cana-5755	4	76	-	-	SYM
cana-5755	4	77	01	01	NUM
cana-5755	4	78	-	-	PUNCT
cana-5755	4	79	2025	2025	NUM
cana-5755	4	80	revised	revise	VERB
cana-5755	4	81	:	:	PUNCT
cana-5755	4	82	15	15	NUM
cana-5755	4	83	-	-	NUM
cana-5755	4	84	02	02	NUM
cana-5755	4	85	-	-	PUNCT
cana-5755	4	86	2025	2025	NUM
cana-5755	4	87	accepted	accept	VERB
cana-5755	4	88	:	:	PUNCT
cana-5755	4	89	01	01	NUM
cana-5755	4	90	-	-	SYM
cana-5755	4	91	03	03	NUM
cana-5755	4	92	-	-	PUNCT
cana-5755	4	93	2025	2025	NUM
cana-5755	4	94	abstract	abstract	ADJ
cana-5755	4	95	sentiment	sentiment	NOUN
cana-5755	4	96	analysis	analysis	NOUN
cana-5755	4	97	is	be	AUX
cana-5755	4	98	a	a	DET
cana-5755	4	99	crucial	crucial	ADJ
cana-5755	4	100	part	part	NOUN
cana-5755	4	101	of	of	ADP
cana-5755	4	102	natural	natural	ADJ
cana-5755	4	103	language	language	NOUN
cana-5755	4	104	processing	processing	NOUN
cana-5755	4	105	(	(	PUNCT
cana-5755	4	106	nlp	nlp	NOUN
cana-5755	4	107	)	)	PUNCT
cana-5755	4	108	that	that	PRON
cana-5755	4	109	categorizes	categorize	VERB
cana-5755	4	110	text	text	NOUN
cana-5755	4	111	into	into	ADP
cana-5755	4	112	positive	positive	ADJ
cana-5755	4	113	,	,	PUNCT
cana-5755	4	114	negative	negative	ADJ
cana-5755	4	115	,	,	PUNCT
cana-5755	4	116	or	or	CCONJ
cana-5755	4	117	neutral	neutral	ADJ
cana-5755	4	118	sentiments	sentiment	NOUN
cana-5755	4	119	.	.	PUNCT
cana-5755	5	1	this	this	DET
cana-5755	5	2	technology	technology	NOUN
cana-5755	5	3	helps	help	VERB
cana-5755	5	4	businesses	business	NOUN
cana-5755	5	5	automatically	automatically	ADV
cana-5755	5	6	interpret	interpret	VERB
cana-5755	5	7	customer	customer	NOUN
cana-5755	5	8	emotions	emotion	NOUN
cana-5755	5	9	,	,	PUNCT
cana-5755	5	10	enabling	enable	VERB
cana-5755	5	11	informed	informed	ADJ
cana-5755	5	12	decisions	decision	NOUN
cana-5755	5	13	in	in	ADP
cana-5755	5	14	marketing	marketing	NOUN
cana-5755	5	15	,	,	PUNCT
cana-5755	5	16	product	product	NOUN
cana-5755	5	17	development	development	NOUN
cana-5755	5	18	,	,	PUNCT
cana-5755	5	19	and	and	CCONJ
cana-5755	5	20	customer	customer	NOUN
cana-5755	5	21	support	support	NOUN
cana-5755	5	22	.	.	PUNCT
cana-5755	6	1	traditional	traditional	ADJ
cana-5755	6	2	machine	machine	NOUN
cana-5755	6	3	learning	learning	NOUN
cana-5755	6	4	models	model	NOUN
cana-5755	6	5	like	like	ADP
cana-5755	6	6	random	random	ADJ
cana-5755	6	7	forest	forest	NOUN
cana-5755	6	8	,	,	PUNCT
cana-5755	6	9	naive	naive	ADJ
cana-5755	6	10	bayes	bayes	NOUN
cana-5755	6	11	,	,	PUNCT
cana-5755	6	12	and	and	CCONJ
cana-5755	6	13	support	support	VERB
cana-5755	6	14	vector	vector	NOUN
cana-5755	6	15	machine	machine	NOUN
cana-5755	6	16	(	(	PUNCT
cana-5755	6	17	svm	svm	PROPN
cana-5755	6	18	)	)	PUNCT
cana-5755	6	19	have	have	AUX
cana-5755	6	20	been	be	AUX
cana-5755	6	21	commonly	commonly	ADV
cana-5755	6	22	used	use	VERB
cana-5755	6	23	for	for	ADP
cana-5755	6	24	sentiment	sentiment	NOUN
cana-5755	6	25	classification	classification	NOUN
cana-5755	6	26	,	,	PUNCT
cana-5755	6	27	especially	especially	ADV
cana-5755	6	28	effective	effective	ADJ
cana-5755	6	29	for	for	ADP
cana-5755	6	30	short	short	ADJ
cana-5755	6	31	and	and	CCONJ
cana-5755	6	32	concise	concise	ADJ
cana-5755	6	33	texts	text	NOUN
cana-5755	6	34	such	such	ADJ
cana-5755	6	35	as	as	ADP
cana-5755	6	36	brief	brief	ADJ
cana-5755	6	37	customer	customer	NOUN
cana-5755	6	38	comments	comment	NOUN
cana-5755	6	39	.	.	PUNCT
cana-5755	7	1	svm	svm	PROPN
cana-5755	7	2	,	,	PUNCT
cana-5755	7	3	in	in	ADP
cana-5755	7	4	particular	particular	ADJ
cana-5755	7	5	,	,	PUNCT
cana-5755	7	6	performs	perform	VERB
cana-5755	7	7	well	well	ADV
cana-5755	7	8	in	in	ADP
cana-5755	7	9	classifying	classify	VERB
cana-5755	7	10	sentiments	sentiment	NOUN
cana-5755	7	11	in	in	ADP
cana-5755	7	12	short	short	ADJ
cana-5755	7	13	texts	text	NOUN
cana-5755	7	14	.	.	PUNCT
cana-5755	8	1	however	however	ADV
cana-5755	8	2	,	,	PUNCT
cana-5755	8	3	the	the	DET
cana-5755	8	4	emergence	emergence	NOUN
cana-5755	8	5	of	of	ADP
cana-5755	8	6	advanced	advanced	ADJ
cana-5755	8	7	large	large	ADJ
cana-5755	8	8	language	language	NOUN
cana-5755	8	9	models	model	NOUN
cana-5755	8	10	(	(	PUNCT
cana-5755	8	11	llms	llm	NOUN
cana-5755	8	12	)	)	PUNCT
cana-5755	8	13	like	like	ADP
cana-5755	8	14	gpt-4	gpt-4	PRON
cana-5755	8	15	has	have	AUX
cana-5755	8	16	revolutionized	revolutionize	VERB
cana-5755	8	17	sentiment	sentiment	NOUN
cana-5755	8	18	analysis	analysis	NOUN
cana-5755	8	19	by	by	ADP
cana-5755	8	20	capturing	capture	VERB
cana-5755	8	21	more	more	ADV
cana-5755	8	22	nuanced	nuanced	ADJ
cana-5755	8	23	emotional	emotional	ADJ
cana-5755	8	24	expressions	expression	NOUN
cana-5755	8	25	.	.	PUNCT
cana-5755	9	1	gpt-4	gpt-4	PRON
cana-5755	9	2	excels	excel	VERB
cana-5755	9	3	in	in	ADP
cana-5755	9	4	understanding	understand	VERB
cana-5755	9	5	complex	complex	ADJ
cana-5755	9	6	context	context	NOUN
cana-5755	9	7	,	,	PUNCT
cana-5755	9	8	sarcasm	sarcasm	NOUN
cana-5755	9	9	,	,	PUNCT
cana-5755	9	10	and	and	CCONJ
cana-5755	9	11	subtle	subtle	ADJ
cana-5755	9	12	emotional	emotional	ADJ
cana-5755	9	13	tones	tone	NOUN
cana-5755	9	14	within	within	ADP
cana-5755	9	15	longer	long	ADJ
cana-5755	9	16	texts	text	NOUN
cana-5755	9	17	,	,	PUNCT
cana-5755	9	18	offering	offer	VERB
cana-5755	9	19	multi	multi	ADJ
cana-5755	9	20	-	-	ADJ
cana-5755	9	21	dimensional	dimensional	ADJ
cana-5755	9	22	sentiment	sentiment	NOUN
cana-5755	9	23	insights	insight	NOUN
cana-5755	9	24	such	such	ADJ
cana-5755	9	25	as	as	ADP
cana-5755	9	26	satisfaction	satisfaction	NOUN
cana-5755	9	27	,	,	PUNCT
cana-5755	9	28	frustration	frustration	NOUN
cana-5755	9	29	,	,	PUNCT
cana-5755	9	30	and	and	CCONJ
cana-5755	9	31	uncertainty	uncertainty	NOUN
cana-5755	9	32	.	.	PUNCT
cana-5755	10	1	this	this	PRON
cana-5755	10	2	makes	make	VERB
cana-5755	10	3	it	it	PRON
cana-5755	10	4	more	more	ADV
cana-5755	10	5	capable	capable	ADJ
cana-5755	10	6	than	than	ADP
cana-5755	10	7	traditional	traditional	ADJ
cana-5755	10	8	models	model	NOUN
cana-5755	10	9	when	when	SCONJ
cana-5755	10	10	analyzing	analyze	VERB
cana-5755	10	11	detailed	detailed	ADJ
cana-5755	10	12	customer	customer	NOUN
cana-5755	10	13	reviews	review	NOUN
cana-5755	10	14	or	or	CCONJ
cana-5755	10	15	conversations	conversation	NOUN
cana-5755	10	16	.	.	PUNCT
cana-5755	11	1	comparative	comparative	ADJ
cana-5755	11	2	studies	study	NOUN
cana-5755	11	3	reveal	reveal	VERB
cana-5755	11	4	that	that	SCONJ
cana-5755	11	5	while	while	SCONJ
cana-5755	11	6	traditional	traditional	ADJ
cana-5755	11	7	models	model	NOUN
cana-5755	11	8	handle	handle	VERB
cana-5755	11	9	short	short	ADJ
cana-5755	11	10	texts	text	NOUN
cana-5755	11	11	efficiently	efficiently	ADV
cana-5755	11	12	,	,	PUNCT
cana-5755	11	13	gpt-4	gpt-4	PRON
cana-5755	11	14	surpasses	surpass	VERB
cana-5755	11	15	them	they	PRON
cana-5755	11	16	in	in	ADP
cana-5755	11	17	analyzing	analyze	VERB
cana-5755	11	18	in	in	ADP
cana-5755	11	19	-	-	PUNCT
cana-5755	11	20	depth	depth	NOUN
cana-5755	11	21	content	content	NOUN
cana-5755	11	22	with	with	ADP
cana-5755	11	23	greater	great	ADJ
cana-5755	11	24	precision	precision	NOUN
cana-5755	11	25	,	,	PUNCT
cana-5755	11	26	recall	recall	NOUN
cana-5755	11	27	,	,	PUNCT
cana-5755	11	28	and	and	CCONJ
cana-5755	11	29	f1	f1	PROPN
cana-5755	11	30	scores	score	NOUN
cana-5755	11	31	.	.	PUNCT
cana-5755	12	1	gpt-4	gpt-4	PUNCT
cana-5755	12	2	also	also	ADV
cana-5755	12	3	uniquely	uniquely	ADV
cana-5755	12	4	identifies	identify	VERB
cana-5755	12	5	mixed	mixed	ADJ
cana-5755	12	6	sentiments	sentiment	NOUN
cana-5755	12	7	that	that	PRON
cana-5755	12	8	simpler	simple	ADJ
cana-5755	12	9	models	model	NOUN
cana-5755	12	10	often	often	ADV
cana-5755	12	11	miss	miss	VERB
cana-5755	12	12	.	.	PUNCT
cana-5755	13	1	in	in	ADP
cana-5755	13	2	conclusion	conclusion	NOUN
cana-5755	13	3	,	,	PUNCT
cana-5755	13	4	although	although	SCONJ
cana-5755	13	5	traditional	traditional	ADJ
cana-5755	13	6	machine	machine	NOUN
cana-5755	13	7	learning	learning	NOUN
cana-5755	13	8	approaches	approach	NOUN
cana-5755	13	9	remain	remain	VERB
cana-5755	13	10	useful	useful	ADJ
cana-5755	13	11	for	for	ADP
cana-5755	13	12	straightforward	straightforward	ADJ
cana-5755	13	13	sentiment	sentiment	NOUN
cana-5755	13	14	analysis	analysis	NOUN
cana-5755	13	15	tasks	task	NOUN
cana-5755	13	16	,	,	PUNCT
cana-5755	13	17	gpt-4	gpt-4	PRON
cana-5755	13	18	provides	provide	VERB
cana-5755	13	19	a	a	DET
cana-5755	13	20	more	more	ADV
cana-5755	13	21	sophisticated	sophisticated	ADJ
cana-5755	13	22	and	and	CCONJ
cana-5755	13	23	comprehensive	comprehensive	ADJ
cana-5755	13	24	understanding	understanding	NOUN
cana-5755	13	25	of	of	ADP
cana-5755	13	26	customer	customer	NOUN
cana-5755	13	27	emotions	emotion	NOUN
cana-5755	13	28	in	in	ADP
cana-5755	13	29	complex	complex	ADJ
cana-5755	13	30	texts	text	NOUN
cana-5755	13	31	.	.	PUNCT
cana-5755	14	1	integrating	integrate	VERB
cana-5755	14	2	gpt-4	gpt-4	NOUN
cana-5755	14	3	into	into	ADP
cana-5755	14	4	sentiment	sentiment	NOUN
cana-5755	14	5	analysis	analysis	NOUN
cana-5755	14	6	workflows	workflow	NOUN
cana-5755	14	7	can	can	AUX
cana-5755	14	8	significantly	significantly	ADV
cana-5755	14	9	enhance	enhance	VERB
cana-5755	14	10	the	the	DET
cana-5755	14	11	accuracy	accuracy	NOUN
cana-5755	14	12	and	and	CCONJ
cana-5755	14	13	richness	richness	NOUN
cana-5755	14	14	of	of	ADP
cana-5755	14	15	insights	insight	NOUN
cana-5755	14	16	derived	derive	VERB
cana-5755	14	17	from	from	ADP
cana-5755	14	18	customer	customer	NOUN
cana-5755	14	19	feedback	feedback	NOUN
cana-5755	14	20	,	,	PUNCT
cana-5755	14	21	supporting	support	VERB
cana-5755	14	22	better	well	ADJ
cana-5755	14	23	business	business	NOUN
cana-5755	14	24	decisions	decision	NOUN
cana-5755	14	25	.	.	PUNCT
cana-5755	15	1	key	key	ADJ
cana-5755	15	2	words	word	NOUN
cana-5755	15	3	:	:	PUNCT
cana-5755	15	4	sentiment	sentiment	NOUN
cana-5755	15	5	analysis	analysis	NOUN
cana-5755	15	6	,	,	PUNCT
cana-5755	15	7	visualization	visualization	NOUN
cana-5755	15	8	,	,	PUNCT
cana-5755	15	9	analytical	analytical	ADJ
cana-5755	15	10	models	model	NOUN
cana-5755	15	11	,	,	PUNCT
cana-5755	15	12	codes	code	NOUN
cana-5755	15	13	,	,	PUNCT
cana-5755	15	14	large	large	ADJ
cana-5755	15	15	language	language	NOUN
cana-5755	15	16	models	model	NOUN
cana-5755	15	17	,	,	PUNCT
cana-5755	15	18	commonsense	commonsense	ADJ
cana-5755	15	19	reasoning	reasoning	NOUN
cana-5755	15	20	1	1	NUM
cana-5755	15	21	.	.	PUNCT
cana-5755	15	22	introduction	introduction	NOUN
cana-5755	15	23	sentiment	sentiment	NOUN
cana-5755	15	24	analysis	analysis	NOUN
cana-5755	15	25	,	,	PUNCT
cana-5755	15	26	a	a	DET
cana-5755	15	27	crucial	crucial	ADJ
cana-5755	15	28	aspect	aspect	NOUN
cana-5755	15	29	of	of	ADP
cana-5755	15	30	natural	natural	ADJ
cana-5755	15	31	language	language	NOUN
cana-5755	15	32	processing	processing	NOUN
cana-5755	15	33	(	(	PUNCT
cana-5755	15	34	nlp	nlp	NOUN
cana-5755	15	35	)	)	PUNCT
cana-5755	15	36	,	,	PUNCT
cana-5755	15	37	involves	involve	VERB
cana-5755	15	38	classifying	classify	VERB
cana-5755	15	39	textual	textual	ADJ
cana-5755	15	40	data	datum	NOUN
cana-5755	15	41	into	into	ADP
cana-5755	15	42	categories	category	NOUN
cana-5755	15	43	such	such	ADJ
cana-5755	15	44	as	as	ADP
cana-5755	15	45	positive	positive	ADJ
cana-5755	15	46	,	,	PUNCT
cana-5755	15	47	negative	negative	ADJ
cana-5755	15	48	,	,	PUNCT
cana-5755	15	49	or	or	CCONJ
cana-5755	15	50	neutral	neutral	ADJ
cana-5755	15	51	sentiments[1	sentiments[1	NOUN
cana-5755	15	52	]	]	PUNCT
cana-5755	15	53	.	.	PUNCT
cana-5755	16	1	communications	communication	NOUN
cana-5755	16	2	on	on	ADP
cana-5755	16	3	applied	apply	VERB
cana-5755	16	4	nonlinear	nonlinear	ADJ
cana-5755	16	5	analysis	analysis	NOUN
cana-5755	16	6	issn	issn	NOUN
cana-5755	16	7	:	:	PUNCT
cana-5755	16	8	1074	1074	NUM
cana-5755	16	9	-	-	PUNCT
cana-5755	16	10	133x	133x	NUM
cana-5755	16	11	vol	vol	NOUN
cana-5755	16	12	32	32	NUM
cana-5755	16	13	no	no	NOUN
cana-5755	16	14	.	.	PUNCT
cana-5755	17	1	3s	3s	NUM
cana-5755	17	2	(	(	PUNCT
cana-5755	17	3	2025	2025	NUM
cana-5755	17	4	)	)	PUNCT
cana-5755	17	5	790	790	NUM
cana-5755	17	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5755	17	7	this	this	DET
cana-5755	17	8	capability	capability	NOUN
cana-5755	17	9	enables	enable	VERB
cana-5755	17	10	businesses	business	NOUN
cana-5755	17	11	to	to	PART
cana-5755	17	12	automatically	automatically	ADV
cana-5755	17	13	interpret	interpret	VERB
cana-5755	17	14	customer	customer	NOUN
cana-5755	17	15	emotions	emotion	NOUN
cana-5755	17	16	,	,	PUNCT
cana-5755	17	17	facilitating	facilitate	VERB
cana-5755	17	18	data	data	NOUN
cana-5755	17	19	-	-	PUNCT
cana-5755	17	20	driven	drive	VERB
cana-5755	17	21	decisions	decision	NOUN
cana-5755	17	22	in	in	ADP
cana-5755	17	23	marketing	marketing	NOUN
cana-5755	17	24	,	,	PUNCT
cana-5755	17	25	product	product	NOUN
cana-5755	17	26	development	development	NOUN
cana-5755	17	27	,	,	PUNCT
cana-5755	17	28	and	and	CCONJ
cana-5755	17	29	customer	customer	NOUN
cana-5755	17	30	service[2	service[2	PROPN
cana-5755	17	31	]	]	PUNCT
cana-5755	17	32	.	.	PUNCT
cana-5755	18	1	traditional	traditional	ADJ
cana-5755	18	2	machine	machine	NOUN
cana-5755	18	3	learning	learning	NOUN
cana-5755	18	4	models	model	NOUN
cana-5755	18	5	have	have	AUX
cana-5755	18	6	been	be	AUX
cana-5755	18	7	widely	widely	ADV
cana-5755	18	8	used	use	VERB
cana-5755	18	9	for	for	ADP
cana-5755	18	10	sentiment	sentiment	NOUN
cana-5755	18	11	analysis	analysis	NOUN
cana-5755	18	12	;	;	PUNCT
cana-5755	18	13	however	however	ADV
cana-5755	18	14	,	,	PUNCT
cana-5755	18	15	recent	recent	ADJ
cana-5755	18	16	advancements	advancement	NOUN
cana-5755	18	17	in	in	ADP
cana-5755	18	18	large	large	ADJ
cana-5755	18	19	language	language	NOUN
cana-5755	18	20	models	model	NOUN
cana-5755	18	21	(	(	PUNCT
cana-5755	18	22	llms	llm	NOUN
cana-5755	18	23	)	)	PUNCT
cana-5755	18	24	,	,	PUNCT
cana-5755	18	25	particularly	particularly	ADV
cana-5755	18	26	gpt-4	gpt-4	ADV
cana-5755	18	27	,	,	PUNCT
cana-5755	18	28	have	have	AUX
cana-5755	18	29	shown	show	VERB
cana-5755	18	30	promising	promising	ADJ
cana-5755	18	31	results	result	NOUN
cana-5755	18	32	in	in	ADP
cana-5755	18	33	capturing	capture	VERB
cana-5755	18	34	nuanced	nuanced	ADJ
cana-5755	18	35	sentiments	sentiment	NOUN
cana-5755	18	36	in	in	ADP
cana-5755	18	37	customer	customer	NOUN
cana-5755	18	38	reviews[3	reviews[3	PROPN
cana-5755	18	39	]	]	PUNCT
cana-5755	18	40	.	.	PUNCT
cana-5755	19	1	traditional	traditional	ADJ
cana-5755	19	2	machine	machine	NOUN
cana-5755	19	3	learning	learn	VERB
cana-5755	19	4	algorithms	algorithm	NOUN
cana-5755	19	5	,	,	PUNCT
cana-5755	19	6	such	such	ADJ
cana-5755	19	7	as	as	ADP
cana-5755	19	8	random	random	ADJ
cana-5755	19	9	forest	forest	NOUN
cana-5755	19	10	,	,	PUNCT
cana-5755	19	11	naive	naive	ADJ
cana-5755	19	12	bayes	bayes	NOUN
cana-5755	19	13	,	,	PUNCT
cana-5755	19	14	and	and	CCONJ
cana-5755	19	15	support	support	VERB
cana-5755	19	16	vector	vector	NOUN
cana-5755	19	17	machine	machine	NOUN
cana-5755	19	18	(	(	PUNCT
cana-5755	19	19	svm	svm	PROPN
cana-5755	19	20	)	)	PUNCT
cana-5755	19	21	,	,	PUNCT
cana-5755	19	22	have	have	AUX
cana-5755	19	23	been	be	AUX
cana-5755	19	24	employed	employ	VERB
cana-5755	19	25	for	for	ADP
cana-5755	19	26	sentiment	sentiment	NOUN
cana-5755	19	27	classification	classification	NOUN
cana-5755	19	28	tasks	task	NOUN
cana-5755	19	29	.	.	PUNCT
cana-5755	20	1	these	these	DET
cana-5755	20	2	models	model	NOUN
cana-5755	20	3	typically	typically	ADV
cana-5755	20	4	require	require	VERB
cana-5755	20	5	manual	manual	ADJ
cana-5755	20	6	feature	feature	NOUN
cana-5755	20	7	extraction	extraction	NOUN
cana-5755	20	8	and	and	CCONJ
cana-5755	20	9	are	be	AUX
cana-5755	20	10	trained	train	VERB
cana-5755	20	11	on	on	ADP
cana-5755	20	12	labeled	label	VERB
cana-5755	20	13	datasets	dataset	NOUN
cana-5755	20	14	.	.	PUNCT
cana-5755	21	1	they	they	PRON
cana-5755	21	2	perform	perform	VERB
cana-5755	21	3	efficiently	efficiently	ADV
cana-5755	21	4	on	on	ADP
cana-5755	21	5	short	short	ADJ
cana-5755	21	6	and	and	CCONJ
cana-5755	21	7	concise	concise	ADJ
cana-5755	21	8	texts	text	NOUN
cana-5755	21	9	,	,	PUNCT
cana-5755	21	10	making	make	VERB
cana-5755	21	11	them	they	PRON
cana-5755	21	12	suitable	suitable	ADJ
cana-5755	21	13	for	for	ADP
cana-5755	21	14	analyzing	analyze	VERB
cana-5755	21	15	brief	brief	ADJ
cana-5755	21	16	customer	customer	NOUN
cana-5755	21	17	comments	comment	NOUN
cana-5755	21	18	.	.	PUNCT
cana-5755	22	1	for	for	ADP
cana-5755	22	2	instance	instance	NOUN
cana-5755	22	3	,	,	PUNCT
cana-5755	22	4	svm	svm	PROPN
cana-5755	22	5	has	have	AUX
cana-5755	22	6	been	be	AUX
cana-5755	22	7	noted	note	VERB
cana-5755	22	8	for	for	ADP
cana-5755	22	9	its	its	PRON
cana-5755	22	10	effectiveness	effectiveness	NOUN
cana-5755	22	11	in	in	ADP
cana-5755	22	12	classifying	classify	VERB
cana-5755	22	13	sentiments	sentiment	NOUN
cana-5755	22	14	in	in	ADP
cana-5755	22	15	short	short	ADJ
cana-5755	22	16	-	-	PUNCT
cana-5755	22	17	length	length	NOUN
cana-5755	22	18	comments	comment	NOUN
cana-5755	22	19	.	.	PUNCT
cana-5755	23	1	gpt-4	gpt-4	NOUN
cana-5755	23	2	,	,	PUNCT
cana-5755	23	3	a	a	DET
cana-5755	23	4	state	state	NOUN
cana-5755	23	5	-	-	PUNCT
cana-5755	23	6	of	of	ADP
cana-5755	23	7	-	-	PUNCT
cana-5755	23	8	the	the	DET
cana-5755	23	9	-	-	PUNCT
cana-5755	23	10	art	art	NOUN
cana-5755	23	11	llm	llm	PROPN
cana-5755	23	12	developed	develop	VERB
cana-5755	23	13	by	by	ADP
cana-5755	23	14	openai	openai	NOUN
cana-5755	23	15	,	,	PUNCT
cana-5755	23	16	offers	offer	VERB
cana-5755	23	17	significant	significant	ADJ
cana-5755	23	18	improvements	improvement	NOUN
cana-5755	23	19	over	over	ADP
cana-5755	23	20	traditional	traditional	ADJ
cana-5755	23	21	models[6	models[6	NUM
cana-5755	23	22	]	]	PUNCT
cana-5755	23	23	.	.	PUNCT
cana-5755	24	1	its	its	PRON
cana-5755	24	2	advanced	advanced	ADJ
cana-5755	24	3	architecture	architecture	NOUN
cana-5755	24	4	enables	enable	VERB
cana-5755	24	5	it	it	PRON
cana-5755	24	6	to	to	PART
cana-5755	24	7	grasp	grasp	VERB
cana-5755	24	8	subtle	subtle	ADJ
cana-5755	24	9	nuances	nuance	NOUN
cana-5755	24	10	,	,	PUNCT
cana-5755	24	11	sarcasm	sarcasm	NOUN
cana-5755	24	12	,	,	PUNCT
cana-5755	24	13	and	and	CCONJ
cana-5755	24	14	complex	complex	ADJ
cana-5755	24	15	emotional	emotional	ADJ
cana-5755	24	16	undertones	undertone	NOUN
cana-5755	24	17	in	in	ADP
cana-5755	24	18	text	text	NOUN
cana-5755	24	19	that	that	SCONJ
cana-5755	24	20	traditional	traditional	ADJ
cana-5755	24	21	sentiment	sentiment	NOUN
cana-5755	24	22	models	model	NOUN
cana-5755	24	23	often	often	ADV
cana-5755	24	24	miss	miss	VERB
cana-5755	24	25	.	.	PUNCT
cana-5755	25	1	gpt-4	gpt-4	PUNCT
cana-5755	25	2	can	can	AUX
cana-5755	25	3	understand	understand	VERB
cana-5755	25	4	context	context	NOUN
cana-5755	25	5	across	across	ADP
cana-5755	25	6	longer	long	ADJ
cana-5755	25	7	passages	passage	NOUN
cana-5755	25	8	,	,	PUNCT
cana-5755	25	9	maintaining	maintain	VERB
cana-5755	25	10	coherence	coherence	NOUN
cana-5755	25	11	in	in	ADP
cana-5755	25	12	sentiment	sentiment	NOUN
cana-5755	25	13	analysis	analysis	NOUN
cana-5755	25	14	of	of	ADP
cana-5755	25	15	detailed	detailed	ADJ
cana-5755	25	16	reviews	review	NOUN
cana-5755	25	17	or	or	CCONJ
cana-5755	25	18	complex	complex	ADJ
cana-5755	25	19	discussions	discussion	NOUN
cana-5755	25	20	.	.	PUNCT
cana-5755	26	1	additionally	additionally	ADV
cana-5755	26	2	,	,	PUNCT
cana-5755	26	3	it	it	PRON
cana-5755	26	4	can	can	AUX
cana-5755	26	5	provide	provide	VERB
cana-5755	26	6	detailed	detailed	ADJ
cana-5755	26	7	sentiment	sentiment	NOUN
cana-5755	26	8	scores	score	NOUN
cana-5755	26	9	across	across	ADP
cana-5755	26	10	multiple	multiple	ADJ
cana-5755	26	11	dimensions	dimension	NOUN
cana-5755	26	12	,	,	PUNCT
cana-5755	26	13	such	such	ADJ
cana-5755	26	14	as	as	ADP
cana-5755	26	15	satisfaction	satisfaction	NOUN
cana-5755	26	16	,	,	PUNCT
cana-5755	26	17	enthusiasm	enthusiasm	NOUN
cana-5755	26	18	,	,	PUNCT
cana-5755	26	19	frustration	frustration	NOUN
cana-5755	26	20	,	,	PUNCT
cana-5755	26	21	and	and	CCONJ
cana-5755	26	22	uncertainty	uncertainty	NOUN
cana-5755	26	23	,	,	PUNCT
cana-5755	26	24	offering	offer	VERB
cana-5755	26	25	deeper	deep	ADJ
cana-5755	26	26	insights	insight	NOUN
cana-5755	26	27	into	into	ADP
cana-5755	26	28	user	user	NOUN
cana-5755	26	29	sentiment	sentiment	NOUN
cana-5755	26	30	.	.	PUNCT
cana-5755	27	1	a	a	DET
cana-5755	27	2	study	study	NOUN
cana-5755	27	3	comparing	compare	VERB
cana-5755	27	4	traditional	traditional	ADJ
cana-5755	27	5	machine	machine	NOUN
cana-5755	27	6	learning	learn	VERB
cana-5755	27	7	classifiers	classifier	NOUN
cana-5755	27	8	with	with	ADP
cana-5755	27	9	gpt-4	gpt-4	X
cana-5755	27	10	for	for	ADP
cana-5755	27	11	sentiment	sentiment	NOUN
cana-5755	27	12	analysis	analysis	NOUN
cana-5755	27	13	of	of	ADP
cana-5755	27	14	customer	customer	NOUN
cana-5755	27	15	product	product	NOUN
cana-5755	27	16	reviews	review	NOUN
cana-5755	27	17	found	find	VERB
cana-5755	27	18	that	that	SCONJ
cana-5755	27	19	traditional	traditional	ADJ
cana-5755	27	20	models	model	NOUN
cana-5755	27	21	excelled	excel	VERB
cana-5755	27	22	in	in	ADP
cana-5755	27	23	processing	process	VERB
cana-5755	27	24	short	short	ADJ
cana-5755	27	25	,	,	PUNCT
cana-5755	27	26	concise	concise	ADJ
cana-5755	27	27	texts	text	NOUN
cana-5755	27	28	.	.	PUNCT
cana-5755	28	1	however	however	ADV
cana-5755	28	2	,	,	PUNCT
cana-5755	28	3	gpt-4	gpt-4	PUNCT
cana-5755	28	4	outperformed	outperform	VERB
cana-5755	28	5	these	these	DET
cana-5755	28	6	models	model	NOUN
cana-5755	28	7	in	in	ADP
cana-5755	28	8	analyzing	analyze	VERB
cana-5755	28	9	more	more	ADV
cana-5755	28	10	detailed	detailed	ADJ
cana-5755	28	11	texts	text	NOUN
cana-5755	28	12	,	,	PUNCT
cana-5755	28	13	capturing	capture	VERB
cana-5755	28	14	subtle	subtle	ADJ
cana-5755	28	15	sentiments	sentiment	NOUN
cana-5755	28	16	with	with	ADP
cana-5755	28	17	higher	high	ADJ
cana-5755	28	18	precision	precision	NOUN
cana-5755	28	19	,	,	PUNCT
cana-5755	28	20	recall	recall	NOUN
cana-5755	28	21	,	,	PUNCT
cana-5755	28	22	and	and	CCONJ
cana-5755	28	23	f1	f1	NOUN
cana-5755	28	24	scores	score	NOUN
cana-5755	28	25	[	[	X
cana-5755	28	26	4	4	NUM
cana-5755	28	27	]	]	PUNCT
cana-5755	28	28	.	.	PUNCT
cana-5755	29	1	notably	notably	ADV
cana-5755	29	2	,	,	PUNCT
cana-5755	29	3	gpt-4	gpt-4	PRON
cana-5755	29	4	was	be	AUX
cana-5755	29	5	able	able	ADJ
cana-5755	29	6	to	to	PART
cana-5755	29	7	uniquely	uniquely	ADV
cana-5755	29	8	identify	identify	VERB
cana-5755	29	9	mixed	mixed	ADJ
cana-5755	29	10	sentiments	sentiment	NOUN
cana-5755	29	11	that	that	SCONJ
cana-5755	29	12	simpler	simple	ADJ
cana-5755	29	13	models	model	NOUN
cana-5755	29	14	could	could	AUX
cana-5755	29	15	not	not	PART
cana-5755	29	16	detect[7	detect[7	PRON
cana-5755	29	17	]	]	PUNCT
cana-5755	29	18	.	.	PUNCT
cana-5755	30	1	while	while	SCONJ
cana-5755	30	2	traditional	traditional	ADJ
cana-5755	30	3	machine	machine	NOUN
cana-5755	30	4	learning	learning	NOUN
cana-5755	30	5	models	model	NOUN
cana-5755	30	6	remain	remain	VERB
cana-5755	30	7	effective	effective	ADJ
cana-5755	30	8	for	for	ADP
cana-5755	30	9	analyzing	analyze	VERB
cana-5755	30	10	short	short	ADJ
cana-5755	30	11	and	and	CCONJ
cana-5755	30	12	straightforward	straightforward	ADJ
cana-5755	30	13	customer	customer	NOUN
cana-5755	30	14	reviews	review	NOUN
cana-5755	30	15	,	,	PUNCT
cana-5755	30	16	gpt-4	gpt-4	PRON
cana-5755	30	17	provides	provide	VERB
cana-5755	30	18	a	a	DET
cana-5755	30	19	more	more	ADV
cana-5755	30	20	robust	robust	ADJ
cana-5755	30	21	solution	solution	NOUN
cana-5755	30	22	for	for	ADP
cana-5755	30	23	understanding	understand	VERB
cana-5755	30	24	complex	complex	ADJ
cana-5755	30	25	and	and	CCONJ
cana-5755	30	26	nuanced	nuanced	ADJ
cana-5755	30	27	sentiments	sentiment	NOUN
cana-5755	30	28	in	in	ADP
cana-5755	30	29	detailed	detailed	ADJ
cana-5755	30	30	texts[9	texts[9	NOUN
cana-5755	30	31	]	]	PUNCT
cana-5755	30	32	.	.	PUNCT
cana-5755	31	1	its	its	PRON
cana-5755	31	2	ability	ability	NOUN
cana-5755	31	3	to	to	PART
cana-5755	31	4	capture	capture	VERB
cana-5755	31	5	subtle	subtle	ADJ
cana-5755	31	6	emotions	emotion	NOUN
cana-5755	31	7	and	and	CCONJ
cana-5755	31	8	provide	provide	VERB
cana-5755	31	9	detailed	detailed	ADJ
cana-5755	31	10	sentiment	sentiment	NOUN
cana-5755	31	11	analysis	analysis	NOUN
cana-5755	31	12	makes	make	VERB
cana-5755	31	13	it	it	PRON
cana-5755	31	14	a	a	DET
cana-5755	31	15	valuable	valuable	ADJ
cana-5755	31	16	tool	tool	NOUN
cana-5755	31	17	for	for	ADP
cana-5755	31	18	businesses	business	NOUN
cana-5755	31	19	seeking	seek	VERB
cana-5755	31	20	to	to	PART
cana-5755	31	21	gain	gain	VERB
cana-5755	31	22	deeper	deep	ADJ
cana-5755	31	23	insights	insight	NOUN
cana-5755	31	24	into	into	ADP
cana-5755	31	25	customer	customer	NOUN
cana-5755	31	26	feedback	feedback	NOUN
cana-5755	31	27	.	.	PUNCT
cana-5755	32	1	incorporating	incorporate	VERB
cana-5755	32	2	gpt-4	gpt-4	NOUN
cana-5755	32	3	into	into	ADP
cana-5755	32	4	sentiment	sentiment	NOUN
cana-5755	32	5	analysis	analysis	NOUN
cana-5755	32	6	workflows	workflow	NOUN
cana-5755	32	7	can	can	AUX
cana-5755	32	8	enhance	enhance	VERB
cana-5755	32	9	the	the	DET
cana-5755	32	10	accuracy	accuracy	NOUN
cana-5755	32	11	and	and	CCONJ
cana-5755	32	12	depth	depth	NOUN
cana-5755	32	13	of	of	ADP
cana-5755	32	14	customer	customer	NOUN
cana-5755	32	15	sentiment	sentiment	NOUN
cana-5755	32	16	understanding	understanding	NOUN
cana-5755	32	17	,	,	PUNCT
cana-5755	32	18	leading	lead	VERB
cana-5755	32	19	to	to	ADP
cana-5755	32	20	more	more	ADV
cana-5755	32	21	informed	informed	ADJ
cana-5755	32	22	business	business	NOUN
cana-5755	32	23	decisions[10	decisions[10	PROPN
cana-5755	32	24	]	]	PUNCT
cana-5755	32	25	.	.	PUNCT
cana-5755	33	1	2	2	X
cana-5755	33	2	.	.	X
cana-5755	33	3	existing	exist	VERB
cana-5755	33	4	system	system	NOUN
cana-5755	33	5	modern	modern	ADJ
cana-5755	33	6	sentiment	sentiment	NOUN
cana-5755	33	7	analysis	analysis	NOUN
cana-5755	33	8	tools	tool	NOUN
cana-5755	33	9	encompass	encompass	VERB
cana-5755	33	10	a	a	DET
cana-5755	33	11	broad	broad	ADJ
cana-5755	33	12	spectrum	spectrum	NOUN
cana-5755	33	13	,	,	PUNCT
cana-5755	33	14	ranging	range	VERB
cana-5755	33	15	from	from	ADP
cana-5755	33	16	traditional	traditional	ADJ
cana-5755	33	17	onpremises	onpremise	NOUN
cana-5755	33	18	apis	apis	ADJ
cana-5755	33	19	to	to	ADP
cana-5755	33	20	advanced	advanced	ADJ
cana-5755	33	21	transformer	transformer	NOUN
cana-5755	33	22	-	-	PUNCT
cana-5755	33	23	powered	power	VERB
cana-5755	33	24	systems	system	NOUN
cana-5755	33	25	,	,	PUNCT
cana-5755	33	26	each	each	PRON
cana-5755	33	27	offering	offer	VERB
cana-5755	33	28	distinct	distinct	ADJ
cana-5755	33	29	strengths	strength	NOUN
cana-5755	33	30	tailored	tailor	VERB
cana-5755	33	31	to	to	ADP
cana-5755	33	32	various	various	ADJ
cana-5755	33	33	use	use	NOUN
cana-5755	33	34	cases	case	NOUN
cana-5755	33	35	.	.	PUNCT
cana-5755	34	1	traditional	traditional	ADJ
cana-5755	34	2	apis	apis	PROPN
cana-5755	34	3	&	&	CCONJ
cana-5755	34	4	on	on	ADP
cana-5755	34	5	-	-	PUNCT
cana-5755	34	6	prem	prem	ADJ
cana-5755	34	7	tools	tool	NOUN
cana-5755	34	8	:	:	PUNCT
cana-5755	34	9	platforms	platform	NOUN
cana-5755	34	10	like	like	ADP
cana-5755	34	11	meaning	mean	VERB
cana-5755	34	12	cloud	cloud	NOUN
cana-5755	34	13	provide	provide	VERB
cana-5755	34	14	plug	plug	NOUN
cana-5755	34	15	-	-	PUNCT
cana-5755	34	16	and	and	CCONJ
cana-5755	34	17	-	-	PUNCT
cana-5755	34	18	play	play	NOUN
cana-5755	34	19	solutions	solution	NOUN
cana-5755	34	20	for	for	ADP
cana-5755	34	21	text	text	NOUN
cana-5755	34	22	analytics	analytic	NOUN
cana-5755	34	23	,	,	PUNCT
cana-5755	34	24	including	include	VERB
cana-5755	34	25	sentiment	sentiment	NOUN
cana-5755	34	26	classification	classification	NOUN
cana-5755	34	27	,	,	PUNCT
cana-5755	34	28	aspect	aspect	NOUN
cana-5755	34	29	extraction	extraction	NOUN
cana-5755	34	30	,	,	PUNCT
cana-5755	34	31	and	and	CCONJ
cana-5755	34	32	topic	topic	NOUN
cana-5755	34	33	detection	detection	NOUN
cana-5755	34	34	.	.	PUNCT
cana-5755	35	1	they	they	PRON
cana-5755	35	2	support	support	VERB
cana-5755	35	3	customizable	customizable	NOUN
cana-5755	35	4	models	model	NOUN
cana-5755	35	5	and	and	CCONJ
cana-5755	35	6	integration	integration	NOUN
cana-5755	35	7	via	via	ADP
cana-5755	35	8	api	api	NOUN
cana-5755	35	9	or	or	CCONJ
cana-5755	35	10	on	on	ADP
cana-5755	35	11	-	-	PUNCT
cana-5755	35	12	premise	premise	NOUN
cana-5755	35	13	deployments	deployment	NOUN
cana-5755	35	14	,	,	PUNCT
cana-5755	35	15	but	but	CCONJ
cana-5755	35	16	primarily	primarily	ADV
cana-5755	35	17	focus	focus	VERB
cana-5755	35	18	on	on	ADP
cana-5755	35	19	polarity	polarity	NOUN
cana-5755	35	20	and	and	CCONJ
cana-5755	35	21	aspect	aspect	NOUN
cana-5755	35	22	-	-	PUNCT
cana-5755	35	23	level	level	NOUN
cana-5755	35	24	sentiment	sentiment	NOUN
cana-5755	35	25	analysis	analysis	NOUN
cana-5755	35	26	.	.	PUNCT
cana-5755	36	1	cloud	cloud	ADJ
cana-5755	36	2	-	-	PUNCT
cana-5755	36	3	native	native	ADJ
cana-5755	36	4	sentiment	sentiment	NOUN
cana-5755	36	5	engines	engine	NOUN
cana-5755	36	6	:	:	PUNCT
cana-5755	36	7	services	service	NOUN
cana-5755	36	8	such	such	ADJ
cana-5755	36	9	as	as	ADP
cana-5755	36	10	ibm	ibm	PROPN
cana-5755	36	11	watson	watson	PROPN
cana-5755	36	12	natural	natural	ADJ
cana-5755	36	13	language	language	NOUN
cana-5755	36	14	understanding	understanding	NOUN
cana-5755	36	15	and	and	CCONJ
cana-5755	36	16	google	google	PROPN
cana-5755	36	17	cloud	cloud	PROPN
cana-5755	36	18	natural	natural	ADJ
cana-5755	36	19	language	language	NOUN
cana-5755	36	20	offer	offer	VERB
cana-5755	36	21	scalable	scalable	ADJ
cana-5755	36	22	and	and	CCONJ
cana-5755	36	23	customizable	customizable	ADJ
cana-5755	36	24	sentiment	sentiment	NOUN
cana-5755	36	25	analysis	analysis	NOUN
cana-5755	36	26	alongside	alongside	ADP
cana-5755	36	27	entity	entity	NOUN
cana-5755	36	28	recognition	recognition	NOUN
cana-5755	36	29	and	and	CCONJ
cana-5755	36	30	emotion	emotion	NOUN
cana-5755	36	31	detection	detection	NOUN
cana-5755	36	32	.	.	PUNCT
cana-5755	37	1	they	they	PRON
cana-5755	37	2	excel	excel	VERB
cana-5755	37	3	at	at	ADP
cana-5755	37	4	communications	communication	NOUN
cana-5755	37	5	on	on	ADP
cana-5755	37	6	applied	apply	VERB
cana-5755	37	7	nonlinear	nonlinear	ADJ
cana-5755	37	8	analysis	analysis	NOUN
cana-5755	37	9	issn	issn	NOUN
cana-5755	37	10	:	:	PUNCT
cana-5755	37	11	1074	1074	NUM
cana-5755	37	12	-	-	PUNCT
cana-5755	37	13	133x	133x	NUM
cana-5755	37	14	vol	vol	NOUN
cana-5755	37	15	32	32	NUM
cana-5755	37	16	no	no	NOUN
cana-5755	37	17	.	.	PUNCT
cana-5755	38	1	3s	3s	NUM
cana-5755	38	2	(	(	PUNCT
cana-5755	38	3	2025	2025	NUM
cana-5755	38	4	)	)	PUNCT
cana-5755	38	5	791	791	NUM
cana-5755	38	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5755	38	7	processing	process	VERB
cana-5755	38	8	large	large	ADJ
cana-5755	38	9	datasets	dataset	NOUN
cana-5755	38	10	but	but	CCONJ
cana-5755	38	11	often	often	ADV
cana-5755	38	12	require	require	VERB
cana-5755	38	13	technical	technical	ADJ
cana-5755	38	14	expertise	expertise	NOUN
cana-5755	38	15	to	to	ADP
cana-5755	38	16	tune	tune	NOUN
cana-5755	38	17	models	model	NOUN
cana-5755	38	18	and	and	CCONJ
cana-5755	38	19	manage	manage	VERB
cana-5755	38	20	costs	cost	NOUN
cana-5755	38	21	.	.	PUNCT
cana-5755	39	1	transformer	transformer	NOUN
cana-5755	39	2	-	-	PUNCT
cana-5755	39	3	based	base	VERB
cana-5755	39	4	&	&	CCONJ
cana-5755	39	5	llm	llm	PROPN
cana-5755	39	6	tools	tool	NOUN
cana-5755	39	7	:	:	PUNCT
cana-5755	39	8	cutting	cut	VERB
cana-5755	39	9	-	-	PUNCT
cana-5755	39	10	edge	edge	NOUN
cana-5755	39	11	models	model	NOUN
cana-5755	39	12	like	like	ADP
cana-5755	39	13	roberta	roberta	PROPN
cana-5755	39	14	,	,	PUNCT
cana-5755	39	15	claude	claude	PROPN
cana-5755	39	16	,	,	PUNCT
cana-5755	39	17	gpt-4	gpt-4	X
cana-5755	39	18	,	,	PUNCT
cana-5755	39	19	and	and	CCONJ
cana-5755	39	20	grok	grok	VERB
cana-5755	39	21	power	power	NOUN
cana-5755	39	22	modern	modern	ADJ
cana-5755	39	23	sentiment	sentiment	NOUN
cana-5755	39	24	tools	tool	NOUN
cana-5755	39	25	with	with	ADP
cana-5755	39	26	nuanced	nuanced	ADJ
cana-5755	39	27	understanding	understanding	NOUN
cana-5755	39	28	,	,	PUNCT
cana-5755	39	29	multi	multi	ADJ
cana-5755	39	30	-	-	ADJ
cana-5755	39	31	language	language	NOUN
cana-5755	39	32	support	support	NOUN
cana-5755	39	33	,	,	PUNCT
cana-5755	39	34	and	and	CCONJ
cana-5755	39	35	real	real	ADJ
cana-5755	39	36	-	-	PUNCT
cana-5755	39	37	time	time	NOUN
cana-5755	39	38	capabilities	capability	NOUN
cana-5755	39	39	.	.	PUNCT
cana-5755	40	1	for	for	ADP
cana-5755	40	2	instance	instance	NOUN
cana-5755	40	3	,	,	PUNCT
cana-5755	40	4	gpt-4	gpt-4	PRON
cana-5755	40	5	delivers	deliver	VERB
cana-5755	40	6	rich	rich	ADJ
cana-5755	40	7	,	,	PUNCT
cana-5755	40	8	context	context	NOUN
cana-5755	40	9	-	-	PUNCT
cana-5755	40	10	aware	aware	ADJ
cana-5755	40	11	insights	insight	NOUN
cana-5755	40	12	with	with	ADP
cana-5755	40	13	minimal	minimal	ADJ
cana-5755	40	14	configuration	configuration	NOUN
cana-5755	40	15	,	,	PUNCT
cana-5755	40	16	while	while	SCONJ
cana-5755	40	17	claude	claude	PROPN
cana-5755	40	18	emphasizes	emphasize	VERB
cana-5755	40	19	ethical	ethical	ADJ
cana-5755	40	20	and	and	CCONJ
cana-5755	40	21	unbiased	unbiased	ADJ
cana-5755	40	22	processing	processing	NOUN
cana-5755	40	23	.	.	PUNCT
cana-5755	41	1	domain	domain	NOUN
cana-5755	41	2	-	-	PUNCT
cana-5755	41	3	specific	specific	ADJ
cana-5755	41	4	&	&	CCONJ
cana-5755	41	5	real	real	ADJ
cana-5755	41	6	-	-	PUNCT
cana-5755	41	7	time	time	NOUN
cana-5755	41	8	solutions	solution	NOUN
cana-5755	41	9	:	:	PUNCT
cana-5755	41	10	specialized	specialized	ADJ
cana-5755	41	11	implementations	implementation	NOUN
cana-5755	41	12	,	,	PUNCT
cana-5755	41	13	like	like	ADP
cana-5755	41	14	mihup	mihup	NOUN
cana-5755	41	15	's	's	PART
cana-5755	41	16	llm	llm	PROPN
cana-5755	41	17	fine	fine	ADV
cana-5755	41	18	-	-	PUNCT
cana-5755	41	19	tuned	tune	VERB
cana-5755	41	20	for	for	ADP
cana-5755	41	21	call	call	NOUN
cana-5755	41	22	center	center	NOUN
cana-5755	41	23	data	datum	NOUN
cana-5755	41	24	,	,	PUNCT
cana-5755	41	25	excel	excel	VERB
cana-5755	41	26	in	in	ADP
cana-5755	41	27	noisy	noisy	ADJ
cana-5755	41	28	,	,	PUNCT
cana-5755	41	29	real	real	ADJ
cana-5755	41	30	-	-	PUNCT
cana-5755	41	31	world	world	NOUN
cana-5755	41	32	settings	setting	NOUN
cana-5755	41	33	by	by	ADP
cana-5755	41	34	integrating	integrate	VERB
cana-5755	41	35	sentiment	sentiment	NOUN
cana-5755	41	36	detection	detection	NOUN
cana-5755	41	37	with	with	ADP
cana-5755	41	38	conversation	conversation	NOUN
cana-5755	41	39	summarization	summarization	NOUN
cana-5755	41	40	and	and	CCONJ
cana-5755	41	41	emotion	emotion	NOUN
cana-5755	41	42	-	-	PUNCT
cana-5755	41	43	driven	drive	VERB
cana-5755	41	44	agent	agent	NOUN
cana-5755	41	45	guidance	guidance	NOUN
cana-5755	41	46	.	.	PUNCT
cana-5755	42	1	benchmark	benchmark	NOUN
cana-5755	42	2	insights	insight	NOUN
cana-5755	42	3	and	and	CCONJ
cana-5755	42	4	trends	trend	NOUN
cana-5755	42	5	:	:	PUNCT
cana-5755	42	6	academic	academic	ADJ
cana-5755	42	7	evaluations	evaluation	NOUN
cana-5755	42	8	—	—	PUNCT
cana-5755	42	9	such	such	ADJ
cana-5755	42	10	as	as	ADP
cana-5755	42	11	those	those	PRON
cana-5755	42	12	in	in	ADP
cana-5755	42	13	sentibench	sentibench	NOUN
cana-5755	42	14	—	—	PUNCT
cana-5755	42	15	show	show	VERB
cana-5755	42	16	that	that	SCONJ
cana-5755	42	17	while	while	SCONJ
cana-5755	42	18	traditional	traditional	ADJ
cana-5755	42	19	methods	method	NOUN
cana-5755	42	20	perform	perform	VERB
cana-5755	42	21	well	well	ADV
cana-5755	42	22	on	on	ADP
cana-5755	42	23	certain	certain	ADJ
cana-5755	42	24	datasets	dataset	NOUN
cana-5755	42	25	,	,	PUNCT
cana-5755	42	26	transformer	transformer	NOUN
cana-5755	42	27	-	-	PUNCT
cana-5755	42	28	based	base	VERB
cana-5755	42	29	models	model	NOUN
cana-5755	42	30	offer	offer	VERB
cana-5755	42	31	far	far	ADV
cana-5755	42	32	greater	great	ADJ
cana-5755	42	33	consistency	consistency	NOUN
cana-5755	42	34	and	and	CCONJ
cana-5755	42	35	accuracy	accuracy	NOUN
cana-5755	42	36	across	across	ADP
cana-5755	42	37	diverse	diverse	ADJ
cana-5755	42	38	,	,	PUNCT
cana-5755	42	39	domain	domain	NOUN
cana-5755	42	40	-	-	PUNCT
cana-5755	42	41	specific	specific	ADJ
cana-5755	42	42	inputs	input	NOUN
cana-5755	42	43	.	.	PUNCT
cana-5755	43	1	additionally	additionally	ADV
cana-5755	43	2	,	,	PUNCT
cana-5755	43	3	studies	study	NOUN
cana-5755	43	4	reveal	reveal	VERB
cana-5755	43	5	that	that	SCONJ
cana-5755	43	6	instruction	instruction	NOUN
cana-5755	43	7	-	-	PUNCT
cana-5755	43	8	tuned	tune	VERB
cana-5755	43	9	llms	llm	NOUN
cana-5755	43	10	(	(	PUNCT
cana-5755	43	11	like	like	ADP
cana-5755	43	12	emollms	emollm	NOUN
cana-5755	43	13	)	)	PUNCT
cana-5755	43	14	now	now	ADV
cana-5755	43	15	approach	approach	VERB
cana-5755	43	16	or	or	CCONJ
cana-5755	43	17	exceed	exceed	VERB
cana-5755	43	18	gpt-4	gpt-4	NUM
cana-5755	43	19	-	-	PUNCT
cana-5755	43	20	level	level	NOUN
cana-5755	43	21	performance	performance	NOUN
cana-5755	43	22	in	in	ADP
cana-5755	43	23	multi	multi	ADJ
cana-5755	43	24	-	-	ADJ
cana-5755	43	25	faceted	faceted	ADJ
cana-5755	43	26	sentiment	sentiment	NOUN
cana-5755	43	27	tasks	task	NOUN
cana-5755	43	28	.	.	PUNCT
cana-5755	44	1	3	3	X
cana-5755	44	2	.	.	NUM
cana-5755	44	3	proposed	propose	VERB
cana-5755	44	4	system	system	NOUN
cana-5755	44	5	modern	modern	ADJ
cana-5755	44	6	sentiment	sentiment	NOUN
cana-5755	44	7	analysis	analysis	NOUN
cana-5755	44	8	tools	tool	NOUN
cana-5755	44	9	encompass	encompass	VERB
cana-5755	44	10	a	a	DET
cana-5755	44	11	wide	wide	ADJ
cana-5755	44	12	range	range	NOUN
cana-5755	44	13	of	of	ADP
cana-5755	44	14	technologies	technology	NOUN
cana-5755	44	15	,	,	PUNCT
cana-5755	44	16	each	each	PRON
cana-5755	44	17	catering	cater	VERB
cana-5755	44	18	to	to	ADP
cana-5755	44	19	different	different	ADJ
cana-5755	44	20	use	use	NOUN
cana-5755	44	21	cases	case	NOUN
cana-5755	44	22	and	and	CCONJ
cana-5755	44	23	expertise	expertise	NOUN
cana-5755	44	24	levels	level	NOUN
cana-5755	44	25	.	.	PUNCT
cana-5755	45	1	traditional	traditional	ADJ
cana-5755	45	2	apis	apis	NOUN
cana-5755	45	3	and	and	CCONJ
cana-5755	45	4	on	on	ADP
cana-5755	45	5	-	-	PUNCT
cana-5755	45	6	premise	premise	NOUN
cana-5755	45	7	platforms	platform	NOUN
cana-5755	45	8	,	,	PUNCT
cana-5755	45	9	such	such	ADJ
cana-5755	45	10	as	as	ADP
cana-5755	45	11	meaningcloud	meaningcloud	ADJ
cana-5755	45	12	,	,	PUNCT
cana-5755	45	13	offer	offer	VERB
cana-5755	45	14	plug	plug	VERB
cana-5755	45	15	-	-	PUNCT
cana-5755	45	16	and	and	CCONJ
cana-5755	45	17	-	-	PUNCT
cana-5755	45	18	play	play	NOUN
cana-5755	45	19	sentiment	sentiment	NOUN
cana-5755	45	20	classification	classification	NOUN
cana-5755	45	21	,	,	PUNCT
cana-5755	45	22	aspect	aspect	NOUN
cana-5755	45	23	extraction	extraction	NOUN
cana-5755	45	24	,	,	PUNCT
cana-5755	45	25	and	and	CCONJ
cana-5755	45	26	topic	topic	NOUN
cana-5755	45	27	detection	detection	NOUN
cana-5755	45	28	with	with	ADP
cana-5755	45	29	simple	simple	ADJ
cana-5755	45	30	integration	integration	NOUN
cana-5755	45	31	via	via	ADP
cana-5755	45	32	rest	rest	NOUN
cana-5755	45	33	apis	apis	ADJ
cana-5755	45	34	or	or	CCONJ
cana-5755	45	35	on	on	ADP
cana-5755	45	36	-	-	PUNCT
cana-5755	45	37	site	site	NOUN
cana-5755	45	38	deployment	deployment	NOUN
cana-5755	45	39	,	,	PUNCT
cana-5755	45	40	but	but	CCONJ
cana-5755	45	41	primarily	primarily	ADV
cana-5755	45	42	focus	focus	VERB
cana-5755	45	43	on	on	ADP
cana-5755	45	44	basic	basic	ADJ
cana-5755	45	45	polarity	polarity	NOUN
cana-5755	45	46	analysis	analysis	NOUN
cana-5755	45	47	.	.	PUNCT
cana-5755	46	1	cloud	cloud	ADJ
cana-5755	46	2	-	-	PUNCT
cana-5755	46	3	native	native	ADJ
cana-5755	46	4	engines	engine	NOUN
cana-5755	46	5	like	like	ADP
cana-5755	46	6	ibm	ibm	PROPN
cana-5755	46	7	watson	watson	PROPN
cana-5755	46	8	natural	natural	ADJ
cana-5755	46	9	language	language	NOUN
cana-5755	46	10	understanding	understanding	NOUN
cana-5755	46	11	and	and	CCONJ
cana-5755	46	12	google	google	PROPN
cana-5755	46	13	cloud	cloud	PROPN
cana-5755	46	14	natural	natural	ADJ
cana-5755	46	15	language	language	NOUN
cana-5755	46	16	api	api	NOUN
cana-5755	46	17	deliver	deliver	VERB
cana-5755	46	18	scalable	scalable	ADJ
cana-5755	46	19	sentiment	sentiment	NOUN
cana-5755	46	20	analysis	analysis	NOUN
cana-5755	46	21	,	,	PUNCT
cana-5755	46	22	entity	entity	NOUN
cana-5755	46	23	recognition	recognition	NOUN
cana-5755	46	24	,	,	PUNCT
cana-5755	46	25	and	and	CCONJ
cana-5755	46	26	emotion	emotion	NOUN
cana-5755	46	27	detection	detection	NOUN
cana-5755	46	28	for	for	ADP
cana-5755	46	29	large	large	ADJ
cana-5755	46	30	datasets	dataset	NOUN
cana-5755	46	31	,	,	PUNCT
cana-5755	46	32	though	though	SCONJ
cana-5755	46	33	configuring	configure	VERB
cana-5755	46	34	them	they	PRON
cana-5755	46	35	effectively	effectively	ADV
cana-5755	46	36	often	often	ADV
cana-5755	46	37	requires	require	VERB
cana-5755	46	38	technical	technical	ADJ
cana-5755	46	39	know	know	NOUN
cana-5755	46	40	-	-	PUNCT
cana-5755	46	41	how	how	SCONJ
cana-5755	46	42	and	and	CCONJ
cana-5755	46	43	can	can	AUX
cana-5755	46	44	incur	incur	VERB
cana-5755	46	45	significant	significant	ADJ
cana-5755	46	46	costs	cost	NOUN
cana-5755	46	47	.	.	PUNCT
cana-5755	47	1	in	in	ADP
cana-5755	47	2	contrast	contrast	NOUN
cana-5755	47	3	,	,	PUNCT
cana-5755	47	4	transformer	transformer	NOUN
cana-5755	47	5	-	-	PUNCT
cana-5755	47	6	based	base	VERB
cana-5755	47	7	and	and	CCONJ
cana-5755	47	8	llm	llm	NOUN
cana-5755	47	9	tools	tool	NOUN
cana-5755	47	10	—	—	PUNCT
cana-5755	47	11	such	such	ADJ
cana-5755	47	12	as	as	ADP
cana-5755	47	13	roberta	roberta	PROPN
cana-5755	47	14	,	,	PUNCT
cana-5755	47	15	claude	claude	PROPN
cana-5755	47	16	,	,	PUNCT
cana-5755	47	17	gpt-4	gpt-4	X
cana-5755	47	18	,	,	PUNCT
cana-5755	47	19	and	and	CCONJ
cana-5755	47	20	grok	grok	PROPN
cana-5755	47	21	—	—	PUNCT
cana-5755	47	22	offer	offer	NOUN
cana-5755	47	23	nuanced	nuanced	ADJ
cana-5755	47	24	,	,	PUNCT
cana-5755	47	25	context	context	NOUN
cana-5755	47	26	-	-	PUNCT
cana-5755	47	27	aware	aware	ADJ
cana-5755	47	28	insights	insight	NOUN
cana-5755	47	29	with	with	ADP
cana-5755	47	30	multi	multi	ADJ
cana-5755	47	31	-	-	ADJ
cana-5755	47	32	language	language	NOUN
cana-5755	47	33	support	support	NOUN
cana-5755	47	34	and	and	CCONJ
cana-5755	47	35	faster	fast	ADJ
cana-5755	47	36	deployment	deployment	NOUN
cana-5755	47	37	,	,	PUNCT
cana-5755	47	38	often	often	ADV
cana-5755	47	39	requiring	require	VERB
cana-5755	47	40	minimal	minimal	ADJ
cana-5755	47	41	configuration	configuration	NOUN
cana-5755	47	42	.	.	PUNCT
cana-5755	48	1	furthermore	furthermore	ADV
cana-5755	48	2	,	,	PUNCT
cana-5755	48	3	domain	domain	NOUN
cana-5755	48	4	-	-	PUNCT
cana-5755	48	5	specific	specific	ADJ
cana-5755	48	6	solutions	solution	NOUN
cana-5755	48	7	—	—	PUNCT
cana-5755	48	8	like	like	ADP
cana-5755	48	9	mihup	mihup	NOUN
cana-5755	48	10	’s	’s	PART
cana-5755	48	11	fine	fine	ADV
cana-5755	48	12	-	-	PUNCT
cana-5755	48	13	tuned	tune	VERB
cana-5755	48	14	llm	llm	NOUN
cana-5755	48	15	for	for	ADP
cana-5755	48	16	call	call	NOUN
cana-5755	48	17	-	-	PUNCT
cana-5755	48	18	center	center	NOUN
cana-5755	48	19	interactions	interaction	NOUN
cana-5755	48	20	—	—	PUNCT
cana-5755	48	21	excel	excel	VERB
cana-5755	48	22	in	in	ADP
cana-5755	48	23	real	real	ADJ
cana-5755	48	24	-	-	PUNCT
cana-5755	48	25	world	world	NOUN
cana-5755	48	26	,	,	PUNCT
cana-5755	48	27	noisy	noisy	ADJ
cana-5755	48	28	settings	setting	NOUN
cana-5755	48	29	by	by	ADP
cana-5755	48	30	combining	combine	VERB
cana-5755	48	31	sentiment	sentiment	NOUN
cana-5755	48	32	detection	detection	NOUN
cana-5755	48	33	with	with	ADP
cana-5755	48	34	conversation	conversation	NOUN
cana-5755	48	35	summarization	summarization	NOUN
cana-5755	48	36	and	and	CCONJ
cana-5755	48	37	agent	agent	NOUN
cana-5755	48	38	assistance	assistance	NOUN
cana-5755	48	39	benchmark	benchmark	NOUN
cana-5755	48	40	studies	study	NOUN
cana-5755	48	41	,	,	PUNCT
cana-5755	48	42	including	include	VERB
cana-5755	48	43	sentibench	sentibench	NOUN
cana-5755	48	44	,	,	PUNCT
cana-5755	48	45	show	show	VERB
cana-5755	48	46	that	that	SCONJ
cana-5755	48	47	while	while	SCONJ
cana-5755	48	48	traditional	traditional	ADJ
cana-5755	48	49	methods	method	NOUN
cana-5755	48	50	perform	perform	VERB
cana-5755	48	51	well	well	ADV
cana-5755	48	52	on	on	ADP
cana-5755	48	53	select	select	ADJ
cana-5755	48	54	datasets	dataset	NOUN
cana-5755	48	55	,	,	PUNCT
cana-5755	48	56	transformer	transformer	NOUN
cana-5755	48	57	-	-	PUNCT
cana-5755	48	58	based	base	VERB
cana-5755	48	59	models	model	NOUN
cana-5755	48	60	consistently	consistently	ADV
cana-5755	48	61	deliver	deliver	VERB
cana-5755	48	62	superior	superior	ADJ
cana-5755	48	63	accuracy	accuracy	NOUN
cana-5755	48	64	and	and	CCONJ
cana-5755	48	65	reliability	reliability	NOUN
cana-5755	48	66	across	across	ADP
cana-5755	48	67	diverse	diverse	ADJ
cana-5755	48	68	inputs	input	NOUN
cana-5755	48	69	.	.	PUNCT
cana-5755	49	1	additionally	additionally	ADV
cana-5755	49	2	,	,	PUNCT
cana-5755	49	3	instruction	instruction	NOUN
cana-5755	49	4	-	-	PUNCT
cana-5755	49	5	tuned	tune	VERB
cana-5755	49	6	llms	llm	NOUN
cana-5755	49	7	—	—	PUNCT
cana-5755	49	8	such	such	ADJ
cana-5755	49	9	as	as	ADP
cana-5755	49	10	emollms	emollm	NOUN
cana-5755	49	11	—	—	PUNCT
cana-5755	49	12	now	now	ADV
cana-5755	49	13	rival	rival	ADJ
cana-5755	49	14	or	or	CCONJ
cana-5755	49	15	surpass	surpass	VERB
cana-5755	49	16	gpt-4	gpt-4	PUNCT
cana-5755	49	17	in	in	ADP
cana-5755	49	18	multi	multi	ADJ
cana-5755	49	19	-	-	ADJ
cana-5755	49	20	faceted	faceted	ADJ
cana-5755	49	21	sentiment	sentiment	NOUN
cana-5755	49	22	tasks	task	NOUN
cana-5755	49	23	.	.	PUNCT
cana-5755	50	1	together	together	ADV
cana-5755	50	2	,	,	PUNCT
cana-5755	50	3	these	these	DET
cana-5755	50	4	systems	system	NOUN
cana-5755	50	5	illustrate	illustrate	VERB
cana-5755	50	6	the	the	DET
cana-5755	50	7	evolution	evolution	NOUN
cana-5755	50	8	from	from	ADP
cana-5755	50	9	dependable	dependable	ADJ
cana-5755	50	10	,	,	PUNCT
cana-5755	50	11	traditional	traditional	ADJ
cana-5755	50	12	apis	apis	ADJ
cana-5755	50	13	to	to	ADP
cana-5755	50	14	sophisticated	sophisticated	ADJ
cana-5755	50	15	transformer	transformer	NOUN
cana-5755	50	16	-	-	PUNCT
cana-5755	50	17	driven	drive	VERB
cana-5755	50	18	platforms	platform	NOUN
cana-5755	50	19	,	,	PUNCT
cana-5755	50	20	marking	mark	VERB
cana-5755	50	21	a	a	DET
cana-5755	50	22	shift	shift	NOUN
cana-5755	50	23	toward	toward	ADP
cana-5755	50	24	deeper	deep	ADJ
cana-5755	50	25	contextual	contextual	ADJ
cana-5755	50	26	understanding	understanding	NOUN
cana-5755	50	27	,	,	PUNCT
cana-5755	50	28	realtime	realtime	NOUN
cana-5755	50	29	analysis	analysis	NOUN
cana-5755	50	30	,	,	PUNCT
cana-5755	50	31	and	and	CCONJ
cana-5755	50	32	domain	domain	NOUN
cana-5755	50	33	adaptability	adaptability	NOUN
cana-5755	50	34	in	in	ADP
cana-5755	50	35	modern	modern	ADJ
cana-5755	50	36	sentiment	sentiment	NOUN
cana-5755	50	37	analysis	analysis	NOUN
cana-5755	50	38	solutions	solution	NOUN
cana-5755	50	39	.	.	PUNCT
cana-5755	51	1	communications	communication	NOUN
cana-5755	51	2	on	on	ADP
cana-5755	51	3	applied	apply	VERB
cana-5755	51	4	nonlinear	nonlinear	ADJ
cana-5755	51	5	analysis	analysis	NOUN
cana-5755	51	6	issn	issn	NOUN
cana-5755	51	7	:	:	PUNCT
cana-5755	51	8	1074	1074	NUM
cana-5755	51	9	-	-	PUNCT
cana-5755	51	10	133x	133x	NUM
cana-5755	51	11	vol	vol	NOUN
cana-5755	51	12	32	32	NUM
cana-5755	51	13	no	no	NOUN
cana-5755	51	14	.	.	PUNCT
cana-5755	52	1	3s	3s	NUM
cana-5755	52	2	(	(	PUNCT
cana-5755	52	3	2025	2025	NUM
cana-5755	52	4	)	)	PUNCT
cana-5755	52	5	792	792	NUM
cana-5755	52	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5755	52	7	4	4	NUM
cana-5755	52	8	.	.	PUNCT
cana-5755	52	9	system	system	NOUN
cana-5755	52	10	architecture	architecture	NOUN
cana-5755	52	11	fig	fig	NOUN
cana-5755	52	12	4.1	4.1	NUM
cana-5755	52	13	system	system	NOUN
cana-5755	52	14	architecture	architecture	NOUN
cana-5755	52	15	the	the	DET
cana-5755	52	16	system	system	NOUN
cana-5755	52	17	architecture	architecture	NOUN
cana-5755	52	18	diagram	diagram	NOUN
cana-5755	52	19	in	in	ADP
cana-5755	52	20	fig	fig	NOUN
cana-5755	52	21	3.1	3.1	NUM
cana-5755	52	22	presents	present	NOUN
cana-5755	52	23	the	the	DET
cana-5755	52	24	workflow	workflow	NOUN
cana-5755	52	25	of	of	ADP
cana-5755	52	26	a	a	DET
cana-5755	52	27	citation	citation	NOUN
cana-5755	52	28	sensitive	sensitive	ADJ
cana-5755	52	29	inbrowser	inbrowser	PROPN
cana-5755	52	30	summariser	summariser	NOUN
cana-5755	52	31	(	(	PUNCT
cana-5755	52	32	csibs	csib	NOUN
cana-5755	52	33	)	)	PUNCT
cana-5755	52	34	.	.	PUNCT
cana-5755	53	1	the	the	DET
cana-5755	53	2	process	process	NOUN
cana-5755	53	3	begins	begin	VERB
cana-5755	53	4	with	with	ADP
cana-5755	53	5	a	a	DET
cana-5755	53	6	document	document	NOUN
cana-5755	53	7	request	request	NOUN
cana-5755	53	8	from	from	ADP
cana-5755	53	9	the	the	DET
cana-5755	53	10	user	user	NOUN
cana-5755	53	11	,	,	PUNCT
cana-5755	53	12	which	which	PRON
cana-5755	53	13	is	be	AUX
cana-5755	53	14	handled	handle	VERB
cana-5755	53	15	by	by	ADP
cana-5755	53	16	the	the	DET
cana-5755	53	17	csibs	csib	NOUN
cana-5755	53	18	document	document	NOUN
cana-5755	53	19	web	web	NOUN
cana-5755	53	20	service	service	NOUN
cana-5755	53	21	.	.	PUNCT
cana-5755	54	1	this	this	DET
cana-5755	54	2	service	service	NOUN
cana-5755	54	3	interacts	interact	VERB
cana-5755	54	4	with	with	ADP
cana-5755	54	5	the	the	DET
cana-5755	54	6	citation	citation	NOUN
cana-5755	54	7	sensitive	sensitive	ADJ
cana-5755	54	8	in	in	ADP
cana-5755	54	9	-	-	PUNCT
cana-5755	54	10	browser	browser	NOUN
cana-5755	54	11	summariser	summariser	NOUN
cana-5755	54	12	,	,	PUNCT
cana-5755	54	13	which	which	PRON
cana-5755	54	14	performs	perform	VERB
cana-5755	54	15	four	four	NUM
cana-5755	54	16	main	main	ADJ
cana-5755	54	17	functions	function	NOUN
cana-5755	54	18	:	:	PUNCT
cana-5755	54	19	retrieve	retrieve	VERB
cana-5755	54	20	xml	xml	NOUN
cana-5755	54	21	representation	representation	NOUN
cana-5755	54	22	of	of	ADP
cana-5755	54	23	the	the	DET
cana-5755	54	24	document	document	NOUN
cana-5755	54	25	,	,	PUNCT
cana-5755	54	26	retrieve	retrieve	VERB
cana-5755	54	27	citations	citation	NOUN
cana-5755	54	28	and	and	CCONJ
cana-5755	54	29	references	reference	NOUN
cana-5755	54	30	,	,	PUNCT
cana-5755	54	31	summarise	summarise	AUX
cana-5755	54	32	cited	cite	VERB
cana-5755	54	33	documents	document	NOUN
cana-5755	54	34	,	,	PUNCT
cana-5755	54	35	and	and	CCONJ
cana-5755	54	36	annotate	annotate	VERB
cana-5755	54	37	the	the	DET
cana-5755	54	38	output	output	NOUN
cana-5755	54	39	as	as	ADP
cana-5755	54	40	pdf	pdf	NOUN
cana-5755	54	41	/	/	SYM
cana-5755	54	42	html	html	NOUN
cana-5755	54	43	.	.	PUNCT
cana-5755	55	1	the	the	DET
cana-5755	55	2	summariser	summariser	NOUN
cana-5755	55	3	accesses	access	VERB
cana-5755	55	4	scholarly	scholarly	ADJ
cana-5755	55	5	data	datum	NOUN
cana-5755	55	6	through	through	ADP
cana-5755	55	7	a	a	DET
cana-5755	55	8	data	data	NOUN
cana-5755	55	9	interface	interface	NOUN
cana-5755	55	10	,	,	PUNCT
cana-5755	55	11	connecting	connect	VERB
cana-5755	55	12	to	to	ADP
cana-5755	55	13	databases	database	NOUN
cana-5755	55	14	like	like	ADP
cana-5755	55	15	scopus	scopus	NOUN
cana-5755	55	16	,	,	PUNCT
cana-5755	55	17	embase	embase	NOUN
cana-5755	55	18	,	,	PUNCT
cana-5755	55	19	science	science	NOUN
cana-5755	55	20	direct	direct	ADJ
cana-5755	55	21	,	,	PUNCT
cana-5755	55	22	and	and	CCONJ
cana-5755	55	23	xml	xml	VERB
cana-5755	55	24	repositories	repository	NOUN
cana-5755	55	25	.	.	PUNCT
cana-5755	56	1	this	this	DET
cana-5755	56	2	architecture	architecture	NOUN
cana-5755	56	3	enables	enable	VERB
cana-5755	56	4	realtime	realtime	NOUN
cana-5755	56	5	,	,	PUNCT
cana-5755	56	6	citation	citation	NOUN
cana-5755	56	7	-	-	PUNCT
cana-5755	56	8	aware	aware	ADJ
cana-5755	56	9	summarization	summarization	NOUN
cana-5755	56	10	directly	directly	ADV
cana-5755	56	11	in	in	ADP
cana-5755	56	12	the	the	DET
cana-5755	56	13	browser	browser	NOUN
cana-5755	56	14	,	,	PUNCT
cana-5755	56	15	enhancing	enhance	VERB
cana-5755	56	16	research	research	NOUN
cana-5755	56	17	efficiency	efficiency	NOUN
cana-5755	56	18	and	and	CCONJ
cana-5755	56	19	document	document	NOUN
cana-5755	56	20	comprehension	comprehension	NOUN
cana-5755	56	21	.	.	PUNCT
cana-5755	57	1	4	4	X
cana-5755	57	2	.	.	X
cana-5755	57	3	modules	module	VERB
cana-5755	57	4	the	the	DET
cana-5755	57	5	system	system	NOUN
cana-5755	57	6	is	be	AUX
cana-5755	57	7	made	make	VERB
cana-5755	57	8	up	up	ADP
cana-5755	57	9	of	of	ADP
cana-5755	57	10	several	several	ADJ
cana-5755	57	11	core	core	NOUN
cana-5755	57	12	modules	module	NOUN
cana-5755	57	13	that	that	PRON
cana-5755	57	14	work	work	VERB
cana-5755	57	15	in	in	ADP
cana-5755	57	16	harmony	harmony	NOUN
cana-5755	57	17	to	to	PART
cana-5755	57	18	ensure	ensure	VERB
cana-5755	57	19	accurate	accurate	ADJ
cana-5755	57	20	emotion	emotion	NOUN
cana-5755	57	21	extraction	extraction	NOUN
cana-5755	57	22	.	.	PUNCT
cana-5755	58	1	the	the	DET
cana-5755	58	2	data	data	PROPN
cana-5755	58	3	acquisition	acquisition	NOUN
cana-5755	58	4	module	module	NOUN
cana-5755	58	5	collects	collect	VERB
cana-5755	58	6	raw	raw	ADJ
cana-5755	58	7	data	datum	NOUN
cana-5755	58	8	from	from	ADP
cana-5755	58	9	a	a	DET
cana-5755	58	10	variety	variety	NOUN
cana-5755	58	11	of	of	ADP
cana-5755	58	12	sources	source	NOUN
cana-5755	58	13	,	,	PUNCT
cana-5755	58	14	such	such	ADJ
cana-5755	58	15	as	as	ADP
cana-5755	58	16	social	social	ADJ
cana-5755	58	17	media	medium	NOUN
cana-5755	58	18	platforms	platform	NOUN
cana-5755	58	19	,	,	PUNCT
cana-5755	58	20	customer	customer	NOUN
cana-5755	58	21	service	service	NOUN
cana-5755	58	22	interactions	interaction	NOUN
cana-5755	58	23	,	,	PUNCT
cana-5755	58	24	and	and	CCONJ
cana-5755	58	25	video	video	NOUN
cana-5755	58	26	streams	stream	NOUN
cana-5755	58	27	,	,	PUNCT
cana-5755	58	28	handling	handle	VERB
cana-5755	58	29	different	different	ADJ
cana-5755	58	30	types	type	NOUN
cana-5755	58	31	of	of	ADP
cana-5755	58	32	inputs	input	NOUN
cana-5755	58	33	including	include	VERB
cana-5755	58	34	text	text	NOUN
cana-5755	58	35	from	from	ADP
cana-5755	58	36	posts	post	NOUN
cana-5755	58	37	and	and	CCONJ
cana-5755	58	38	messages	message	NOUN
cana-5755	58	39	,	,	PUNCT
cana-5755	58	40	audio	audio	NOUN
cana-5755	58	41	from	from	ADP
cana-5755	58	42	calls	call	NOUN
cana-5755	58	43	or	or	CCONJ
cana-5755	58	44	videos	video	NOUN
cana-5755	58	45	,	,	PUNCT
cana-5755	58	46	communications	communication	NOUN
cana-5755	58	47	on	on	ADP
cana-5755	58	48	applied	apply	VERB
cana-5755	58	49	nonlinear	nonlinear	ADJ
cana-5755	58	50	analysis	analysis	NOUN
cana-5755	58	51	issn	issn	NOUN
cana-5755	58	52	:	:	PUNCT
cana-5755	58	53	1074	1074	NUM
cana-5755	58	54	-	-	PUNCT
cana-5755	58	55	133x	133x	NUM
cana-5755	58	56	vol	vol	NOUN
cana-5755	58	57	32	32	NUM
cana-5755	59	1	no	no	NOUN
cana-5755	59	2	.	.	PUNCT
cana-5755	60	1	3s	3s	NUM
cana-5755	60	2	(	(	PUNCT
cana-5755	60	3	2025	2025	NUM
cana-5755	60	4	)	)	PUNCT
cana-5755	60	5	793	793	NUM
cana-5755	60	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5755	60	7	and	and	CCONJ
cana-5755	60	8	visual	visual	ADJ
cana-5755	60	9	data	datum	NOUN
cana-5755	60	10	from	from	ADP
cana-5755	60	11	images	image	NOUN
cana-5755	60	12	or	or	CCONJ
cana-5755	60	13	videos	video	NOUN
cana-5755	60	14	.	.	PUNCT
cana-5755	61	1	the	the	DET
cana-5755	61	2	preprocessing	preprocessing	NOUN
cana-5755	61	3	module	module	NOUN
cana-5755	61	4	then	then	ADV
cana-5755	61	5	cleans	clean	VERB
cana-5755	61	6	and	and	CCONJ
cana-5755	61	7	processes	process	VERB
cana-5755	61	8	this	this	DET
cana-5755	61	9	data	data	NOUN
cana-5755	61	10	by	by	ADP
cana-5755	61	11	tokenizing	tokenize	VERB
cana-5755	61	12	and	and	CCONJ
cana-5755	61	13	normalizing	normalize	VERB
cana-5755	61	14	text	text	NOUN
cana-5755	61	15	,	,	PUNCT
cana-5755	61	16	extracting	extract	VERB
cana-5755	61	17	features	feature	NOUN
cana-5755	61	18	like	like	ADP
cana-5755	61	19	pitch	pitch	NOUN
cana-5755	61	20	and	and	CCONJ
cana-5755	61	21	tone	tone	NOUN
cana-5755	61	22	from	from	ADP
cana-5755	61	23	audio	audio	NOUN
cana-5755	61	24	,	,	PUNCT
cana-5755	61	25	and	and	CCONJ
cana-5755	61	26	identifying	identify	VERB
cana-5755	61	27	facial	facial	ADJ
cana-5755	61	28	expressions	expression	NOUN
cana-5755	61	29	or	or	CCONJ
cana-5755	61	30	body	body	NOUN
cana-5755	61	31	language	language	NOUN
cana-5755	61	32	from	from	ADP
cana-5755	61	33	visual	visual	ADJ
cana-5755	61	34	inputs	input	NOUN
cana-5755	61	35	.	.	PUNCT
cana-5755	62	1	the	the	DET
cana-5755	62	2	emotion	emotion	NOUN
cana-5755	62	3	recognition	recognition	NOUN
cana-5755	62	4	engine	engine	NOUN
cana-5755	62	5	analyzes	analyze	VERB
cana-5755	62	6	the	the	DET
cana-5755	62	7	processed	process	VERB
cana-5755	62	8	data	datum	NOUN
cana-5755	62	9	using	use	VERB
cana-5755	62	10	nlp	nlp	NOUN
cana-5755	62	11	models	model	NOUN
cana-5755	62	12	for	for	ADP
cana-5755	62	13	text	text	NOUN
cana-5755	62	14	sentiment	sentiment	NOUN
cana-5755	62	15	,	,	PUNCT
cana-5755	62	16	acoustic	acoustic	ADJ
cana-5755	62	17	models	model	NOUN
cana-5755	62	18	for	for	ADP
cana-5755	62	19	speech	speech	NOUN
cana-5755	62	20	emotions	emotion	NOUN
cana-5755	62	21	,	,	PUNCT
cana-5755	62	22	and	and	CCONJ
cana-5755	62	23	computer	computer	NOUN
cana-5755	62	24	vision	vision	NOUN
cana-5755	62	25	techniques	technique	NOUN
cana-5755	62	26	for	for	ADP
cana-5755	62	27	detecting	detect	VERB
cana-5755	62	28	facial	facial	ADJ
cana-5755	62	29	emotions	emotion	NOUN
cana-5755	62	30	.	.	PUNCT
cana-5755	63	1	to	to	PART
cana-5755	63	2	create	create	VERB
cana-5755	63	3	a	a	DET
cana-5755	63	4	comprehensive	comprehensive	ADJ
cana-5755	63	5	understanding	understanding	NOUN
cana-5755	63	6	,	,	PUNCT
cana-5755	63	7	the	the	DET
cana-5755	63	8	multimodal	multimodal	ADJ
cana-5755	63	9	fusion	fusion	NOUN
cana-5755	63	10	layer	layer	NOUN
cana-5755	63	11	synchronizes	synchronize	NOUN
cana-5755	63	12	and	and	CCONJ
cana-5755	63	13	integrates	integrate	VERB
cana-5755	63	14	data	datum	NOUN
cana-5755	63	15	from	from	ADP
cana-5755	63	16	all	all	DET
cana-5755	63	17	modalities	modality	NOUN
cana-5755	63	18	using	use	VERB
cana-5755	63	19	techniques	technique	NOUN
cana-5755	63	20	such	such	ADJ
cana-5755	63	21	as	as	ADP
cana-5755	63	22	attention	attention	NOUN
cana-5755	63	23	mechanisms	mechanism	NOUN
cana-5755	63	24	,	,	PUNCT
cana-5755	63	25	resulting	result	VERB
cana-5755	63	26	in	in	ADP
cana-5755	63	27	a	a	DET
cana-5755	63	28	unified	unified	ADJ
cana-5755	63	29	emotion	emotion	NOUN
cana-5755	63	30	classification	classification	NOUN
cana-5755	63	31	.	.	PUNCT
cana-5755	64	1	the	the	DET
cana-5755	64	2	system	system	NOUN
cana-5755	64	3	also	also	ADV
cana-5755	64	4	features	feature	VERB
cana-5755	64	5	an	an	DET
cana-5755	64	6	interpretability	interpretability	NOUN
cana-5755	64	7	and	and	CCONJ
cana-5755	64	8	explainability	explainability	NOUN
cana-5755	64	9	interface	interface	NOUN
cana-5755	64	10	that	that	PRON
cana-5755	64	11	provides	provide	VERB
cana-5755	64	12	transparent	transparent	ADJ
cana-5755	64	13	insights	insight	NOUN
cana-5755	64	14	through	through	ADP
cana-5755	64	15	visual	visual	ADJ
cana-5755	64	16	aids	aid	NOUN
cana-5755	64	17	like	like	ADP
cana-5755	64	18	heatmaps	heatmap	NOUN
cana-5755	64	19	and	and	CCONJ
cana-5755	64	20	timelines	timeline	NOUN
cana-5755	64	21	,	,	PUNCT
cana-5755	64	22	along	along	ADP
cana-5755	64	23	with	with	ADP
cana-5755	64	24	textual	textual	ADJ
cana-5755	64	25	explanations	explanation	NOUN
cana-5755	64	26	and	and	CCONJ
cana-5755	64	27	a	a	DET
cana-5755	64	28	feedback	feedback	NOUN
cana-5755	64	29	system	system	NOUN
cana-5755	64	30	that	that	PRON
cana-5755	64	31	allows	allow	VERB
cana-5755	64	32	users	user	NOUN
cana-5755	64	33	to	to	PART
cana-5755	64	34	enhance	enhance	VERB
cana-5755	64	35	model	model	NOUN
cana-5755	64	36	accuracy	accuracy	NOUN
cana-5755	64	37	over	over	ADP
cana-5755	64	38	time	time	NOUN
cana-5755	64	39	.	.	PUNCT
cana-5755	65	1	lastly	lastly	ADV
cana-5755	65	2	,	,	PUNCT
cana-5755	65	3	the	the	DET
cana-5755	65	4	integration	integration	NOUN
cana-5755	65	5	and	and	CCONJ
cana-5755	65	6	deployment	deployment	NOUN
cana-5755	65	7	framework	framework	NOUN
cana-5755	65	8	enables	enable	VERB
cana-5755	65	9	practical	practical	ADJ
cana-5755	65	10	application	application	NOUN
cana-5755	65	11	by	by	ADP
cana-5755	65	12	offering	offer	VERB
cana-5755	65	13	apis	apis	PROPN
cana-5755	65	14	for	for	ADP
cana-5755	65	15	external	external	ADJ
cana-5755	65	16	system	system	NOUN
cana-5755	65	17	interaction	interaction	NOUN
cana-5755	65	18	,	,	PUNCT
cana-5755	65	19	automating	automate	VERB
cana-5755	65	20	deployment	deployment	NOUN
cana-5755	65	21	with	with	ADP
cana-5755	65	22	tools	tool	NOUN
cana-5755	65	23	such	such	ADJ
cana-5755	65	24	as	as	ADP
cana-5755	65	25	docker	docker	NOUN
cana-5755	65	26	or	or	CCONJ
cana-5755	65	27	kubernetes	kubernete	NOUN
cana-5755	65	28	,	,	PUNCT
cana-5755	65	29	and	and	CCONJ
cana-5755	65	30	monitoring	monitor	VERB
cana-5755	65	31	system	system	NOUN
cana-5755	65	32	performance	performance	NOUN
cana-5755	65	33	and	and	CCONJ
cana-5755	65	34	user	user	NOUN
cana-5755	65	35	engagement	engagement	NOUN
cana-5755	65	36	to	to	PART
cana-5755	65	37	maintain	maintain	VERB
cana-5755	65	38	reliability	reliability	NOUN
cana-5755	65	39	.	.	PUNCT
cana-5755	66	1	5	5	X
cana-5755	66	2	.	.	X
cana-5755	66	3	data	datum	NOUN
cana-5755	66	4	analysis	analysis	NOUN
cana-5755	66	5	and	and	CCONJ
cana-5755	66	6	results	result	NOUN
cana-5755	66	7	fig	fig	VERB
cana-5755	66	8	5.1	5.1	NUM
cana-5755	66	9	tweet	tweet	NOUN
cana-5755	66	10	count	count	NOUN
cana-5755	66	11	analysis	analysis	NOUN
cana-5755	66	12	the	the	DET
cana-5755	66	13	bar	bar	NOUN
cana-5755	66	14	graph	graph	NOUN
cana-5755	66	15	in	in	ADP
cana-5755	66	16	fig	fig	NOUN
cana-5755	66	17	5.1	5.1	NUM
cana-5755	66	18	illustrates	illustrate	VERB
cana-5755	66	19	the	the	DET
cana-5755	66	20	distribution	distribution	NOUN
cana-5755	66	21	of	of	ADP
cana-5755	66	22	sentiment	sentiment	NOUN
cana-5755	66	23	labels	label	NOUN
cana-5755	66	24	—	—	PUNCT
cana-5755	66	25	neutral	neutral	ADJ
cana-5755	66	26	,	,	PUNCT
cana-5755	66	27	good	good	ADJ
cana-5755	66	28	,	,	PUNCT
cana-5755	66	29	and	and	CCONJ
cana-5755	66	30	bad	bad	ADJ
cana-5755	66	31	—	—	PUNCT
cana-5755	66	32	as	as	ADP
cana-5755	66	33	part	part	NOUN
cana-5755	66	34	of	of	ADP
cana-5755	66	35	the	the	DET
cana-5755	66	36	insightful	insightful	ADJ
cana-5755	66	37	emotion	emotion	NOUN
cana-5755	66	38	extractor	extractor	NOUN
cana-5755	66	39	sentiment	sentiment	NOUN
cana-5755	66	40	analyzer	analyzer	NOUN
cana-5755	66	41	using	use	VERB
cana-5755	66	42	llms	llm	NOUN
cana-5755	66	43	project	project	NOUN
cana-5755	66	44	.	.	PUNCT
cana-5755	67	1	communications	communication	NOUN
cana-5755	67	2	on	on	ADP
cana-5755	67	3	applied	apply	VERB
cana-5755	67	4	nonlinear	nonlinear	ADJ
cana-5755	67	5	analysis	analysis	NOUN
cana-5755	67	6	issn	issn	NOUN
cana-5755	67	7	:	:	PUNCT
cana-5755	67	8	1074	1074	NUM
cana-5755	67	9	-	-	PUNCT
cana-5755	67	10	133x	133x	NUM
cana-5755	67	11	vol	vol	NOUN
cana-5755	67	12	32	32	NUM
cana-5755	67	13	no	no	NOUN
cana-5755	67	14	.	.	PUNCT
cana-5755	68	1	3s	3s	NUM
cana-5755	68	2	(	(	PUNCT
cana-5755	68	3	2025	2025	NUM
cana-5755	68	4	)	)	PUNCT
cana-5755	68	5	794	794	NUM
cana-5755	68	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5755	69	1	the	the	DET
cana-5755	69	2	data	datum	NOUN
cana-5755	69	3	reveals	reveal	VERB
cana-5755	69	4	a	a	DET
cana-5755	69	5	noticeable	noticeable	ADJ
cana-5755	69	6	imbalance	imbalance	NOUN
cana-5755	69	7	,	,	PUNCT
cana-5755	69	8	with	with	ADP
cana-5755	69	9	bad	bad	ADJ
cana-5755	69	10	sentiments	sentiment	NOUN
cana-5755	69	11	significantly	significantly	ADV
cana-5755	69	12	outnumbering	outnumber	VERB
cana-5755	69	13	neutral	neutral	ADJ
cana-5755	69	14	and	and	CCONJ
cana-5755	69	15	good	good	ADJ
cana-5755	69	16	ones	one	NOUN
cana-5755	69	17	.	.	PUNCT
cana-5755	70	1	each	each	PRON
cana-5755	70	2	of	of	ADP
cana-5755	70	3	the	the	DET
cana-5755	70	4	positive	positive	ADJ
cana-5755	70	5	and	and	CCONJ
cana-5755	70	6	neutral	neutral	ADJ
cana-5755	70	7	sentiments	sentiment	NOUN
cana-5755	70	8	appears	appear	VERB
cana-5755	70	9	approximately	approximately	ADV
cana-5755	70	10	56,000	56,000	NUM
cana-5755	70	11	times	time	NOUN
cana-5755	70	12	,	,	PUNCT
cana-5755	70	13	whereas	whereas	SCONJ
cana-5755	70	14	negative	negative	ADJ
cana-5755	70	15	sentiment	sentiment	NOUN
cana-5755	70	16	counts	count	NOUN
cana-5755	70	17	exceed	exceed	VERB
cana-5755	70	18	100,000	100,000	NUM
cana-5755	70	19	.	.	PUNCT
cana-5755	71	1	this	this	DET
cana-5755	71	2	imbalance	imbalance	NOUN
cana-5755	71	3	may	may	AUX
cana-5755	71	4	influence	influence	VERB
cana-5755	71	5	model	model	NOUN
cana-5755	71	6	training	training	NOUN
cana-5755	71	7	,	,	PUNCT
cana-5755	71	8	potentially	potentially	ADV
cana-5755	71	9	biasing	bias	VERB
cana-5755	71	10	predictions	prediction	NOUN
cana-5755	71	11	toward	toward	ADP
cana-5755	71	12	negative	negative	ADJ
cana-5755	71	13	sentiments	sentiment	NOUN
cana-5755	71	14	.	.	PUNCT
cana-5755	72	1	understanding	understand	VERB
cana-5755	72	2	this	this	DET
cana-5755	72	3	distribution	distribution	NOUN
cana-5755	72	4	is	be	AUX
cana-5755	72	5	critical	critical	ADJ
cana-5755	72	6	for	for	ADP
cana-5755	72	7	applying	apply	VERB
cana-5755	72	8	balancing	balancing	NOUN
cana-5755	72	9	techniques	technique	NOUN
cana-5755	72	10	,	,	PUNCT
cana-5755	72	11	ensuring	ensure	VERB
cana-5755	72	12	fair	fair	ADJ
cana-5755	72	13	and	and	CCONJ
cana-5755	72	14	accurate	accurate	ADJ
cana-5755	72	15	performance	performance	NOUN
cana-5755	72	16	of	of	ADP
cana-5755	72	17	the	the	DET
cana-5755	72	18	sentiment	sentiment	NOUN
cana-5755	72	19	analysis	analysis	NOUN
cana-5755	72	20	model	model	NOUN
cana-5755	72	21	powered	power	VERB
cana-5755	72	22	by	by	ADP
cana-5755	72	23	large	large	ADJ
cana-5755	72	24	language	language	NOUN
cana-5755	72	25	models	model	NOUN
cana-5755	72	26	(	(	PUNCT
cana-5755	72	27	llms	llm	NOUN
cana-5755	72	28	)	)	PUNCT
cana-5755	72	29	.	.	PUNCT
cana-5755	73	1	fig	fig	NOUN
cana-5755	73	2	5.2	5.2	NUM
cana-5755	73	3	:	:	PUNCT
cana-5755	74	1	lstm	lstm	NOUN
cana-5755	74	2	model	model	NOUN
cana-5755	74	3	accuracy	accuracy	NOUN
cana-5755	74	4	and	and	CCONJ
cana-5755	74	5	loss	loss	VERB
cana-5755	74	6	the	the	DET
cana-5755	74	7	graph	graph	NOUN
cana-5755	74	8	in	in	ADP
cana-5755	74	9	fig	fig	NOUN
cana-5755	74	10	5.2	5.2	NUM
cana-5755	74	11	shows	show	VERB
cana-5755	74	12	the	the	DET
cana-5755	74	13	training	training	NOUN
cana-5755	74	14	and	and	CCONJ
cana-5755	74	15	validation	validation	NOUN
cana-5755	74	16	performance	performance	NOUN
cana-5755	74	17	of	of	ADP
cana-5755	74	18	the	the	DET
cana-5755	74	19	lstm	lstm	PROPN
cana-5755	74	20	model	model	NOUN
cana-5755	74	21	used	use	VERB
cana-5755	74	22	in	in	ADP
cana-5755	74	23	the	the	DET
cana-5755	74	24	insightful	insightful	ADJ
cana-5755	74	25	emotion	emotion	NOUN
cana-5755	74	26	extractor	extractor	NOUN
cana-5755	74	27	sentiment	sentiment	NOUN
cana-5755	74	28	analyzer	analyzer	NOUN
cana-5755	74	29	using	use	VERB
cana-5755	74	30	llms	llm	NOUN
cana-5755	74	31	project	project	NOUN
cana-5755	74	32	over	over	ADP
cana-5755	74	33	6	6	NUM
cana-5755	74	34	epochs	epoch	NOUN
cana-5755	74	35	.	.	PUNCT
cana-5755	75	1	the	the	DET
cana-5755	75	2	model	model	NOUN
cana-5755	75	3	accuracy	accuracy	NOUN
cana-5755	75	4	chart	chart	PROPN
cana-5755	75	5	(	(	PUNCT
cana-5755	75	6	left	left	ADV
cana-5755	75	7	)	)	PUNCT
cana-5755	75	8	indicates	indicate	VERB
cana-5755	75	9	a	a	DET
cana-5755	75	10	steady	steady	ADJ
cana-5755	75	11	increase	increase	NOUN
cana-5755	75	12	in	in	ADP
cana-5755	75	13	training	training	NOUN
cana-5755	75	14	accuracy	accuracy	NOUN
cana-5755	75	15	,	,	PUNCT
cana-5755	75	16	reaching	reach	VERB
cana-5755	75	17	nearly	nearly	ADV
cana-5755	75	18	0.98	0.98	NUM
cana-5755	75	19	,	,	PUNCT
cana-5755	75	20	while	while	SCONJ
cana-5755	75	21	validation	validation	NOUN
cana-5755	75	22	accuracy	accuracy	NOUN
cana-5755	75	23	plateaus	plateaus	NOUN
cana-5755	75	24	around	around	ADP
cana-5755	75	25	0.92	0.92	NUM
cana-5755	75	26	,	,	PUNCT
cana-5755	75	27	suggesting	suggest	VERB
cana-5755	75	28	early	early	ADJ
cana-5755	75	29	signs	sign	NOUN
cana-5755	75	30	of	of	ADP
cana-5755	75	31	overfitting	overfitte	VERB
cana-5755	75	32	.	.	PUNCT
cana-5755	76	1	the	the	DET
cana-5755	76	2	model	model	NOUN
cana-5755	76	3	loss	loss	NOUN
cana-5755	76	4	chart	chart	NOUN
cana-5755	76	5	(	(	PUNCT
cana-5755	76	6	right	right	ADJ
cana-5755	76	7	)	)	PUNCT
cana-5755	76	8	supports	support	VERB
cana-5755	76	9	this	this	DET
cana-5755	76	10	observation	observation	NOUN
cana-5755	76	11	:	:	PUNCT
cana-5755	76	12	training	training	NOUN
cana-5755	76	13	loss	loss	NOUN
cana-5755	76	14	drops	drop	VERB
cana-5755	76	15	consistently	consistently	ADV
cana-5755	76	16	,	,	PUNCT
cana-5755	76	17	but	but	CCONJ
cana-5755	76	18	validation	validation	NOUN
cana-5755	76	19	loss	loss	NOUN
cana-5755	76	20	begins	begin	VERB
cana-5755	76	21	to	to	PART
cana-5755	76	22	rise	rise	VERB
cana-5755	76	23	after	after	ADP
cana-5755	76	24	epoch	epoch	NOUN
cana-5755	76	25	2	2	NUM
cana-5755	76	26	.	.	PUNCT
cana-5755	77	1	this	this	DET
cana-5755	77	2	divergence	divergence	NOUN
cana-5755	77	3	highlights	highlight	NOUN
cana-5755	77	4	the	the	DET
cana-5755	77	5	need	need	NOUN
cana-5755	77	6	for	for	ADP
cana-5755	77	7	regularization	regularization	NOUN
cana-5755	77	8	,	,	PUNCT
cana-5755	77	9	dropout	dropout	NOUN
cana-5755	77	10	tuning	tuning	NOUN
cana-5755	77	11	,	,	PUNCT
cana-5755	77	12	or	or	CCONJ
cana-5755	77	13	early	early	ADV
cana-5755	77	14	stopping	stop	VERB
cana-5755	77	15	to	to	PART
cana-5755	77	16	prevent	prevent	VERB
cana-5755	77	17	overfitting	overfitting	NOUN
cana-5755	77	18	and	and	CCONJ
cana-5755	77	19	enhance	enhance	VERB
cana-5755	77	20	the	the	DET
cana-5755	77	21	model	model	NOUN
cana-5755	77	22	’s	’s	PART
cana-5755	77	23	generalization	generalization	NOUN
cana-5755	77	24	to	to	ADP
cana-5755	77	25	unseen	unseen	ADJ
cana-5755	77	26	data	datum	NOUN
cana-5755	77	27	.	.	PUNCT
cana-5755	78	1	fig	fig	NOUN
cana-5755	78	2	5.3	5.3	NUM
cana-5755	78	3	:	:	PUNCT
cana-5755	78	4	cnn	cnn	PROPN
cana-5755	78	5	model	model	NOUN
cana-5755	78	6	accuracy	accuracy	NOUN
cana-5755	78	7	and	and	CCONJ
cana-5755	78	8	loss	loss	NOUN
cana-5755	78	9	communications	communication	NOUN
cana-5755	78	10	on	on	ADP
cana-5755	78	11	applied	apply	VERB
cana-5755	78	12	nonlinear	nonlinear	ADJ
cana-5755	78	13	analysis	analysis	NOUN
cana-5755	78	14	issn	issn	NOUN
cana-5755	78	15	:	:	PUNCT
cana-5755	78	16	1074	1074	NUM
cana-5755	78	17	-	-	PUNCT
cana-5755	78	18	133x	133x	NUM
cana-5755	78	19	vol	vol	NOUN
cana-5755	78	20	32	32	NUM
cana-5755	79	1	no	no	NOUN
cana-5755	79	2	.	.	PUNCT
cana-5755	80	1	3s	3s	NUM
cana-5755	80	2	(	(	PUNCT
cana-5755	80	3	2025	2025	NUM
cana-5755	80	4	)	)	PUNCT
cana-5755	80	5	795	795	NUM
cana-5755	80	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5755	80	7	the	the	DET
cana-5755	80	8	cnn	cnn	PROPN
cana-5755	80	9	model	model	NOUN
cana-5755	80	10	performance	performance	NOUN
cana-5755	80	11	graphs	graph	NOUN
cana-5755	80	12	in	in	ADP
cana-5755	80	13	fig	fig	NOUN
cana-5755	80	14	5.3	5.3	NUM
cana-5755	80	15	from	from	ADP
cana-5755	80	16	the	the	DET
cana-5755	80	17	insightful	insightful	ADJ
cana-5755	80	18	emotion	emotion	NOUN
cana-5755	80	19	extractor	extractor	NOUN
cana-5755	80	20	sentiment	sentiment	NOUN
cana-5755	80	21	analyzer	analyzer	NOUN
cana-5755	80	22	using	use	VERB
cana-5755	80	23	llms	llm	NOUN
cana-5755	80	24	project	project	NOUN
cana-5755	80	25	reveal	reveal	VERB
cana-5755	80	26	significant	significant	ADJ
cana-5755	80	27	overfitting	overfitting	NOUN
cana-5755	80	28	.	.	PUNCT
cana-5755	81	1	in	in	ADP
cana-5755	81	2	the	the	DET
cana-5755	81	3	model	model	NOUN
cana-5755	81	4	accuracy	accuracy	NOUN
cana-5755	81	5	plot	plot	NOUN
cana-5755	81	6	(	(	PUNCT
cana-5755	81	7	left	left	ADV
cana-5755	81	8	)	)	PUNCT
cana-5755	81	9	,	,	PUNCT
cana-5755	81	10	training	training	NOUN
cana-5755	81	11	accuracy	accuracy	NOUN
cana-5755	81	12	steadily	steadily	ADV
cana-5755	81	13	increases	increase	VERB
cana-5755	81	14	to	to	ADP
cana-5755	81	15	nearly	nearly	ADV
cana-5755	81	16	99.5	99.5	NUM
cana-5755	81	17	%	%	NOUN
cana-5755	81	18	,	,	PUNCT
cana-5755	81	19	while	while	SCONJ
cana-5755	81	20	validation	validation	NOUN
cana-5755	81	21	accuracy	accuracy	NOUN
cana-5755	81	22	stagnates	stagnate	VERB
cana-5755	81	23	around	around	ADV
cana-5755	81	24	91	91	NUM
cana-5755	81	25	%	%	NOUN
cana-5755	81	26	,	,	PUNCT
cana-5755	81	27	showing	show	VERB
cana-5755	81	28	no	no	DET
cana-5755	81	29	meaningful	meaningful	ADJ
cana-5755	81	30	improvement	improvement	NOUN
cana-5755	81	31	after	after	ADP
cana-5755	81	32	early	early	ADJ
cana-5755	81	33	epochs	epoch	NOUN
cana-5755	81	34	.	.	PUNCT
cana-5755	82	1	the	the	DET
cana-5755	82	2	model	model	NOUN
cana-5755	82	3	loss	loss	NOUN
cana-5755	82	4	plot	plot	NOUN
cana-5755	82	5	(	(	PUNCT
cana-5755	82	6	right	right	ADJ
cana-5755	82	7	)	)	PUNCT
cana-5755	82	8	further	far	ADV
cana-5755	82	9	confirms	confirm	VERB
cana-5755	82	10	this	this	DET
cana-5755	82	11	issue	issue	NOUN
cana-5755	82	12	:	:	PUNCT
cana-5755	82	13	training	training	NOUN
cana-5755	82	14	loss	loss	NOUN
cana-5755	82	15	drops	drop	VERB
cana-5755	82	16	sharply	sharply	ADV
cana-5755	82	17	,	,	PUNCT
cana-5755	82	18	whereas	whereas	SCONJ
cana-5755	82	19	validation	validation	NOUN
cana-5755	82	20	loss	loss	NOUN
cana-5755	82	21	continuously	continuously	ADV
cana-5755	82	22	rises	rise	VERB
cana-5755	82	23	beyond	beyond	ADP
cana-5755	82	24	epoch	epoch	NOUN
cana-5755	82	25	2	2	NUM
cana-5755	82	26	,	,	PUNCT
cana-5755	82	27	peaking	peak	VERB
cana-5755	82	28	above	above	ADP
cana-5755	82	29	0.5	0.5	NUM
cana-5755	82	30	.	.	PUNCT
cana-5755	83	1	this	this	DET
cana-5755	83	2	divergence	divergence	NOUN
cana-5755	83	3	suggests	suggest	VERB
cana-5755	83	4	the	the	DET
cana-5755	83	5	model	model	NOUN
cana-5755	83	6	is	be	AUX
cana-5755	83	7	memorizing	memorize	VERB
cana-5755	83	8	training	training	NOUN
cana-5755	83	9	data	datum	NOUN
cana-5755	83	10	rather	rather	ADV
cana-5755	83	11	than	than	ADP
cana-5755	83	12	generalizing	generalize	VERB
cana-5755	83	13	well	well	ADV
cana-5755	83	14	.	.	PUNCT
cana-5755	84	1	to	to	PART
cana-5755	84	2	address	address	VERB
cana-5755	84	3	this	this	PRON
cana-5755	84	4	,	,	PUNCT
cana-5755	84	5	regularization	regularization	NOUN
cana-5755	84	6	techniques	technique	NOUN
cana-5755	84	7	like	like	ADP
cana-5755	84	8	dropout	dropout	NOUN
cana-5755	84	9	,	,	PUNCT
cana-5755	84	10	data	datum	NOUN
cana-5755	84	11	augmentation	augmentation	NOUN
cana-5755	84	12	,	,	PUNCT
cana-5755	84	13	or	or	CCONJ
cana-5755	84	14	early	early	ADJ
cana-5755	84	15	stopping	stopping	NOUN
cana-5755	84	16	should	should	AUX
cana-5755	84	17	be	be	AUX
cana-5755	84	18	implemented	implement	VERB
cana-5755	84	19	to	to	PART
cana-5755	84	20	improve	improve	VERB
cana-5755	84	21	model	model	NOUN
cana-5755	84	22	robustness	robustness	NOUN
cana-5755	84	23	.	.	PUNCT
cana-5755	85	1	fig	fig	NOUN
cana-5755	85	2	5.4	5.4	NUM
cana-5755	85	3	:	:	PUNCT
cana-5755	85	4	input	input	NOUN
cana-5755	85	5	to	to	ADP
cana-5755	85	6	cnn	cnn	PROPN
cana-5755	85	7	model	model	NOUN
cana-5755	85	8	in	in	ADP
cana-5755	85	9	fig	fig	NOUN
cana-5755	85	10	5.4	5.4	NUM
cana-5755	85	11	,	,	PUNCT
cana-5755	85	12	a	a	DET
cana-5755	85	13	user	user	NOUN
cana-5755	85	14	enters	enter	VERB
cana-5755	85	15	a	a	DET
cana-5755	85	16	tweet	tweet	NOUN
cana-5755	85	17	into	into	ADP
cana-5755	85	18	a	a	DET
cana-5755	85	19	text	text	NOUN
cana-5755	85	20	area	area	NOUN
cana-5755	85	21	.	.	PUNCT
cana-5755	86	1	the	the	DET
cana-5755	86	2	tweet	tweet	NOUN
cana-5755	86	3	is	be	AUX
cana-5755	86	4	about	about	ADP
cana-5755	86	5	chatgpt	chatgpt	NOUN
cana-5755	86	6	,	,	PUNCT
cana-5755	86	7	an	an	DET
cana-5755	86	8	ai	ai	NOUN
cana-5755	86	9	system	system	NOUN
cana-5755	86	10	optimized	optimize	VERB
cana-5755	86	11	for	for	ADP
cana-5755	86	12	dialogue	dialogue	NOUN
cana-5755	86	13	.	.	PUNCT
cana-5755	87	1	the	the	DET
cana-5755	87	2	interface	interface	NOUN
cana-5755	87	3	includes	include	VERB
cana-5755	87	4	a	a	DET
cana-5755	87	5	"	"	PUNCT
cana-5755	87	6	submit	submit	NOUN
cana-5755	87	7	"	"	PUNCT
cana-5755	87	8	button	button	NOUN
cana-5755	87	9	,	,	PUNCT
cana-5755	87	10	allowing	allow	VERB
cana-5755	87	11	users	user	NOUN
cana-5755	87	12	to	to	PART
cana-5755	87	13	analyze	analyze	VERB
cana-5755	87	14	the	the	DET
cana-5755	87	15	sentiment	sentiment	NOUN
cana-5755	87	16	of	of	ADP
cana-5755	87	17	the	the	DET
cana-5755	87	18	input	input	NOUN
cana-5755	87	19	tweet	tweet	NOUN
cana-5755	87	20	.	.	PUNCT
cana-5755	88	1	fig	fig	NOUN
cana-5755	88	2	5.5	5.5	NUM
cana-5755	88	3	:	:	PUNCT
cana-5755	88	4	output	output	NOUN
cana-5755	88	5	of	of	ADP
cana-5755	88	6	cnn	cnn	PROPN
cana-5755	88	7	model	model	NOUN
cana-5755	88	8	communications	communication	NOUN
cana-5755	88	9	on	on	ADP
cana-5755	88	10	applied	apply	VERB
cana-5755	88	11	nonlinear	nonlinear	ADJ
cana-5755	88	12	analysis	analysis	NOUN
cana-5755	88	13	issn	issn	NOUN
cana-5755	88	14	:	:	PUNCT
cana-5755	88	15	1074	1074	NUM
cana-5755	88	16	-	-	PUNCT
cana-5755	88	17	133x	133x	NUM
cana-5755	88	18	vol	vol	NOUN
cana-5755	88	19	32	32	NUM
cana-5755	89	1	no	no	NOUN
cana-5755	89	2	.	.	PUNCT
cana-5755	90	1	3s	3s	NUM
cana-5755	90	2	(	(	PUNCT
cana-5755	90	3	2025	2025	NUM
cana-5755	90	4	)	)	PUNCT
cana-5755	90	5	796	796	NUM
cana-5755	90	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5755	90	7	in	in	ADP
cana-5755	90	8	fig	fig	NOUN
cana-5755	90	9	5.5	5.5	NUM
cana-5755	90	10	,	,	PUNCT
cana-5755	90	11	after	after	ADP
cana-5755	90	12	submitting	submit	VERB
cana-5755	90	13	the	the	DET
cana-5755	90	14	tweet	tweet	NOUN
cana-5755	90	15	,	,	PUNCT
cana-5755	90	16	the	the	DET
cana-5755	90	17	application	application	NOUN
cana-5755	90	18	processes	process	VERB
cana-5755	90	19	the	the	DET
cana-5755	90	20	input	input	NOUN
cana-5755	90	21	and	and	CCONJ
cana-5755	90	22	displays	display	VERB
cana-5755	90	23	the	the	DET
cana-5755	90	24	result	result	NOUN
cana-5755	90	25	.	.	PUNCT
cana-5755	91	1	it	it	PRON
cana-5755	91	2	shows	show	VERB
cana-5755	91	3	the	the	DET
cana-5755	91	4	message	message	NOUN
cana-5755	91	5	:	:	PUNCT
cana-5755	91	6	"	"	PUNCT
cana-5755	91	7	the	the	DET
cana-5755	91	8	sentiment	sentiment	NOUN
cana-5755	91	9	of	of	ADP
cana-5755	91	10	the	the	DET
cana-5755	91	11	tweet	tweet	NOUN
cana-5755	91	12	is	be	AUX
cana-5755	91	13	:	:	PUNCT
cana-5755	91	14	positive	positive	ADJ
cana-5755	91	15	"	"	PUNCT
cana-5755	91	16	,	,	PUNCT
cana-5755	91	17	indicating	indicate	VERB
cana-5755	91	18	that	that	SCONJ
cana-5755	91	19	the	the	DET
cana-5755	91	20	cnn	cnn	PROPN
cana-5755	91	21	model	model	NOUN
cana-5755	91	22	has	have	AUX
cana-5755	91	23	classified	classify	VERB
cana-5755	91	24	the	the	DET
cana-5755	91	25	tweet	tweet	NOUN
cana-5755	91	26	as	as	ADP
cana-5755	91	27	having	have	VERB
cana-5755	91	28	a	a	DET
cana-5755	91	29	positive	positive	ADJ
cana-5755	91	30	sentiment	sentiment	NOUN
cana-5755	91	31	.	.	PUNCT
cana-5755	92	1	fig	fig	NOUN
cana-5755	92	2	5.6	5.6	NUM
cana-5755	92	3	:	:	PUNCT
cana-5755	92	4	prediction	prediction	NOUN
cana-5755	92	5	using	use	VERB
cana-5755	92	6	generative	generative	NOUN
cana-5755	92	7	ai	ai	VERB
cana-5755	92	8	in	in	ADP
cana-5755	92	9	fig	fig	NOUN
cana-5755	92	10	5.6	5.6	NUM
cana-5755	92	11	,	,	PUNCT
cana-5755	92	12	the	the	DET
cana-5755	92	13	interface	interface	NOUN
cana-5755	92	14	allows	allow	VERB
cana-5755	92	15	the	the	DET
cana-5755	92	16	user	user	NOUN
cana-5755	92	17	to	to	PART
cana-5755	92	18	enter	enter	VERB
cana-5755	92	19	text	text	NOUN
cana-5755	92	20	,	,	PUNCT
cana-5755	92	21	in	in	ADP
cana-5755	92	22	this	this	DET
cana-5755	92	23	case	case	NOUN
cana-5755	92	24	a	a	DET
cana-5755	92	25	tweet	tweet	NOUN
cana-5755	92	26	about	about	ADP
cana-5755	92	27	chatgpt	chatgpt	NOUN
cana-5755	92	28	,	,	PUNCT
cana-5755	92	29	ai	ai	VERB
cana-5755	92	30	/	/	SYM
cana-5755	92	31	ml	ml	NOUN
cana-5755	92	32	topics	topic	NOUN
cana-5755	92	33	,	,	PUNCT
cana-5755	92	34	and	and	CCONJ
cana-5755	92	35	machine	machine	NOUN
cana-5755	92	36	-	-	PUNCT
cana-5755	92	37	driven	drive	VERB
cana-5755	92	38	rss	rss	NOUN
cana-5755	92	39	bots	bot	NOUN
cana-5755	92	40	,	,	PUNCT
cana-5755	92	41	including	include	VERB
cana-5755	92	42	hashtags	hashtag	NOUN
cana-5755	92	43	and	and	CCONJ
cana-5755	92	44	urls	url	NOUN
cana-5755	92	45	.	.	PUNCT
cana-5755	93	1	the	the	DET
cana-5755	93	2	user	user	NOUN
cana-5755	93	3	clicks	click	VERB
cana-5755	93	4	the	the	DET
cana-5755	93	5	"	"	PUNCT
cana-5755	93	6	analyze	analyze	NOUN
cana-5755	93	7	sentiment	sentiment	NOUN
cana-5755	93	8	"	"	PUNCT
cana-5755	93	9	button	button	NOUN
cana-5755	93	10	.	.	PUNCT
cana-5755	94	1	the	the	DET
cana-5755	94	2	application	application	NOUN
cana-5755	94	3	outputs	output	NOUN
cana-5755	94	4	:	:	PUNCT
cana-5755	94	5	"	"	PUNCT
cana-5755	94	6	the	the	DET
cana-5755	94	7	sentiment	sentiment	NOUN
cana-5755	94	8	of	of	ADP
cana-5755	94	9	the	the	DET
cana-5755	94	10	text	text	NOUN
cana-5755	94	11	is	be	AUX
cana-5755	94	12	'	'	PUNCT
cana-5755	94	13	neutral	neutral	ADJ
cana-5755	94	14	'	'	PUNCT
cana-5755	94	15	.	.	PUNCT
cana-5755	94	16	"	"	PUNCT
cana-5755	95	1	communications	communication	NOUN
cana-5755	95	2	on	on	ADP
cana-5755	95	3	applied	apply	VERB
cana-5755	95	4	nonlinear	nonlinear	ADJ
cana-5755	95	5	analysis	analysis	NOUN
cana-5755	95	6	issn	issn	NOUN
cana-5755	95	7	:	:	PUNCT
cana-5755	95	8	1074	1074	NUM
cana-5755	95	9	-	-	PUNCT
cana-5755	95	10	133x	133x	NUM
cana-5755	95	11	vol	vol	NOUN
cana-5755	95	12	32	32	NUM
cana-5755	95	13	no	no	NOUN
cana-5755	95	14	.	.	PUNCT
cana-5755	96	1	3s	3s	NUM
cana-5755	96	2	(	(	PUNCT
cana-5755	96	3	2025	2025	NUM
cana-5755	96	4	)	)	PUNCT
cana-5755	96	5	797	797	NUM
cana-5755	96	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5755	96	7	6	6	NUM
cana-5755	96	8	.	.	PUNCT
cana-5755	96	9	conclusion	conclusion	NOUN
cana-5755	96	10	and	and	CCONJ
cana-5755	96	11	futurescope	futurescope	NOUN
cana-5755	96	12	conclusion	conclusion	NOUN
cana-5755	96	13	:	:	PUNCT
cana-5755	96	14	the	the	DET
cana-5755	96	15	insightful	insightful	ADJ
cana-5755	96	16	emotion	emotion	NOUN
cana-5755	96	17	extractor	extractor	NOUN
cana-5755	96	18	elevates	elevate	VERB
cana-5755	96	19	sentiment	sentiment	NOUN
cana-5755	96	20	analysis	analysis	NOUN
cana-5755	96	21	by	by	ADP
cana-5755	96	22	using	use	VERB
cana-5755	96	23	cutting	cutting	NOUN
cana-5755	96	24	-	-	PUNCT
cana-5755	96	25	edge	edge	NOUN
cana-5755	96	26	large	large	ADJ
cana-5755	96	27	language	language	NOUN
cana-5755	96	28	models	model	NOUN
cana-5755	96	29	(	(	PUNCT
cana-5755	96	30	llms	llm	NOUN
cana-5755	96	31	)	)	PUNCT
cana-5755	96	32	to	to	PART
cana-5755	96	33	capture	capture	VERB
cana-5755	96	34	emotional	emotional	ADJ
cana-5755	96	35	depth	depth	NOUN
cana-5755	96	36	and	and	CCONJ
cana-5755	96	37	nuance	nuance	NOUN
cana-5755	96	38	in	in	ADP
cana-5755	96	39	text	text	NOUN
cana-5755	96	40	.	.	PUNCT
cana-5755	97	1	unlike	unlike	ADP
cana-5755	97	2	traditional	traditional	ADJ
cana-5755	97	3	models	model	NOUN
cana-5755	97	4	,	,	PUNCT
cana-5755	97	5	it	it	PRON
cana-5755	97	6	adeptly	adeptly	ADV
cana-5755	97	7	identifies	identify	VERB
cana-5755	97	8	mixed	mixed	ADJ
cana-5755	97	9	emotions	emotion	NOUN
cana-5755	97	10	,	,	PUNCT
cana-5755	97	11	sarcasm	sarcasm	NOUN
cana-5755	97	12	,	,	PUNCT
cana-5755	97	13	and	and	CCONJ
cana-5755	97	14	varying	vary	VERB
cana-5755	97	15	intensities	intensity	NOUN
cana-5755	97	16	,	,	PUNCT
cana-5755	97	17	delivering	deliver	VERB
cana-5755	97	18	more	more	ADJ
cana-5755	97	19	context	context	NOUN
cana-5755	97	20	-	-	PUNCT
cana-5755	97	21	aware	aware	ADJ
cana-5755	97	22	insights	insight	NOUN
cana-5755	97	23	.	.	PUNCT
cana-5755	98	1	for	for	ADP
cana-5755	98	2	example	example	NOUN
cana-5755	98	3	,	,	PUNCT
cana-5755	98	4	in	in	ADP
cana-5755	98	5	customer	customer	NOUN
cana-5755	98	6	review	review	NOUN
cana-5755	98	7	datasets	dataset	NOUN
cana-5755	98	8	,	,	PUNCT
cana-5755	98	9	gpt-4	gpt-4	PRON
cana-5755	98	10	surpasses	surpass	VERB
cana-5755	98	11	classic	classic	ADJ
cana-5755	98	12	classifiers	classifier	NOUN
cana-5755	98	13	like	like	ADP
cana-5755	98	14	svm	svm	NOUN
cana-5755	98	15	and	and	CCONJ
cana-5755	98	16	naïve	naïve	ADJ
cana-5755	98	17	bayes	baye	NOUN
cana-5755	98	18	—	—	PUNCT
cana-5755	98	19	especially	especially	ADV
cana-5755	98	20	on	on	ADP
cana-5755	98	21	longer	long	ADJ
cana-5755	98	22	texts	text	NOUN
cana-5755	98	23	rich	rich	ADJ
cana-5755	98	24	in	in	ADP
cana-5755	98	25	context	context	NOUN
cana-5755	98	26	—	—	PUNCT
cana-5755	98	27	yielding	yield	VERB
cana-5755	98	28	significantly	significantly	ADV
cana-5755	98	29	higher	high	ADJ
cana-5755	98	30	precision	precision	NOUN
cana-5755	98	31	,	,	PUNCT
cana-5755	98	32	recall	recall	NOUN
cana-5755	98	33	,	,	PUNCT
cana-5755	98	34	and	and	CCONJ
cana-5755	98	35	f1	f1	NOUN
cana-5755	98	36	scores	score	NOUN
cana-5755	98	37	in	in	ADP
cana-5755	98	38	domain	domain	NOUN
cana-5755	98	39	-	-	PUNCT
cana-5755	98	40	specific	specific	ADJ
cana-5755	98	41	evaluations	evaluation	NOUN
cana-5755	98	42	,	,	PUNCT
cana-5755	98	43	such	such	ADJ
cana-5755	98	44	as	as	ADP
cana-5755	98	45	financial	financial	ADJ
cana-5755	98	46	sentiment	sentiment	NOUN
cana-5755	98	47	analysis	analysis	NOUN
cana-5755	98	48	,	,	PUNCT
cana-5755	98	49	chatgpt-4	chatgpt-4	NOUN
cana-5755	98	50	performs	perform	VERB
cana-5755	98	51	comparably	comparably	ADV
cana-5755	98	52	to	to	ADP
cana-5755	98	53	or	or	CCONJ
cana-5755	98	54	even	even	ADV
cana-5755	98	55	outperforms	outperform	VERB
cana-5755	98	56	fine	fine	ADV
cana-5755	98	57	-	-	PUNCT
cana-5755	98	58	tuned	tune	VERB
cana-5755	98	59	models	model	NOUN
cana-5755	98	60	like	like	ADP
cana-5755	98	61	deberta	deberta	NOUN
cana-5755	98	62	-	-	PUNCT
cana-5755	98	63	v3	v3	NOUN
cana-5755	98	64	,	,	PUNCT
cana-5755	98	65	achieving	achieve	VERB
cana-5755	98	66	macro	macro	ADJ
cana-5755	98	67	f1	f1	NOUN
cana-5755	98	68	scores	score	NOUN
cana-5755	98	69	between	between	ADP
cana-5755	98	70	0.83	0.83	NUM
cana-5755	98	71	and	and	CCONJ
cana-5755	98	72	0.86	0.86	NUM
cana-5755	98	73	beyond	beyond	ADP
cana-5755	98	74	its	its	PRON
cana-5755	98	75	superior	superior	ADJ
cana-5755	98	76	accuracy	accuracy	NOUN
cana-5755	98	77	,	,	PUNCT
cana-5755	98	78	the	the	DET
cana-5755	98	79	system	system	NOUN
cana-5755	98	80	offers	offer	VERB
cana-5755	98	81	transparent	transparent	ADJ
cana-5755	98	82	explanations	explanation	NOUN
cana-5755	98	83	for	for	ADP
cana-5755	98	84	its	its	PRON
cana-5755	98	85	classifications	classification	NOUN
cana-5755	98	86	,	,	PUNCT
cana-5755	98	87	which	which	PRON
cana-5755	98	88	enhances	enhance	VERB
cana-5755	98	89	user	user	NOUN
cana-5755	98	90	trust	trust	NOUN
cana-5755	98	91	and	and	CCONJ
cana-5755	98	92	positions	position	VERB
cana-5755	98	93	it	it	PRON
cana-5755	98	94	as	as	ADP
cana-5755	98	95	a	a	DET
cana-5755	98	96	reliable	reliable	ADJ
cana-5755	98	97	tool	tool	NOUN
cana-5755	98	98	for	for	ADP
cana-5755	98	99	nuanced	nuanced	ADJ
cana-5755	98	100	emotion	emotion	NOUN
cana-5755	98	101	analysis	analysis	NOUN
cana-5755	98	102	.	.	PUNCT
cana-5755	99	1	future	future	ADJ
cana-5755	99	2	scope	scope	NOUN
cana-5755	99	3	:	:	PUNCT
cana-5755	99	4	the	the	DET
cana-5755	99	5	future	future	ADJ
cana-5755	99	6	development	development	NOUN
cana-5755	99	7	of	of	ADP
cana-5755	99	8	the	the	DET
cana-5755	99	9	insightful	insightful	ADJ
cana-5755	99	10	emotion	emotion	NOUN
cana-5755	99	11	extractor	extractor	NOUN
cana-5755	99	12	aims	aim	VERB
cana-5755	99	13	to	to	PART
cana-5755	99	14	transform	transform	VERB
cana-5755	99	15	it	it	PRON
cana-5755	99	16	into	into	ADP
cana-5755	99	17	a	a	DET
cana-5755	99	18	robust	robust	ADJ
cana-5755	99	19	,	,	PUNCT
cana-5755	99	20	multimodal	multimodal	ADJ
cana-5755	99	21	,	,	PUNCT
cana-5755	99	22	explainable	explainable	ADJ
cana-5755	99	23	,	,	PUNCT
cana-5755	99	24	adaptable	adaptable	ADJ
cana-5755	99	25	,	,	PUNCT
cana-5755	99	26	and	and	CCONJ
cana-5755	99	27	ethically	ethically	ADV
cana-5755	99	28	grounded	ground	VERB
cana-5755	99	29	emotion	emotion	NOUN
cana-5755	99	30	analysis	analysis	NOUN
cana-5755	99	31	system	system	NOUN
cana-5755	99	32	.	.	PUNCT
cana-5755	100	1	first	first	ADV
cana-5755	100	2	,	,	PUNCT
cana-5755	100	3	integrating	integrate	VERB
cana-5755	100	4	multimodal	multimodal	ADJ
cana-5755	100	5	sentiment	sentiment	NOUN
cana-5755	100	6	fusion	fusion	NOUN
cana-5755	100	7	by	by	ADP
cana-5755	100	8	incorporating	incorporate	VERB
cana-5755	100	9	audio	audio	ADJ
cana-5755	100	10	,	,	PUNCT
cana-5755	100	11	facial	facial	ADJ
cana-5755	100	12	expressions	expression	NOUN
cana-5755	100	13	,	,	PUNCT
cana-5755	100	14	and	and	CCONJ
cana-5755	100	15	imagery	imagery	NOUN
cana-5755	100	16	alongside	alongside	ADP
cana-5755	100	17	text	text	NOUN
cana-5755	100	18	will	will	AUX
cana-5755	100	19	enhance	enhance	VERB
cana-5755	100	20	accuracy	accuracy	NOUN
cana-5755	100	21	by	by	ADP
cana-5755	100	22	utilizing	utilize	VERB
cana-5755	100	23	complementary	complementary	ADJ
cana-5755	100	24	emotional	emotional	ADJ
cana-5755	100	25	cues	cue	NOUN
cana-5755	100	26	.	.	PUNCT
cana-5755	101	1	approaches	approach	NOUN
cana-5755	101	2	like	like	ADP
cana-5755	101	3	bi	bi	NOUN
cana-5755	101	4	-	-	NOUN
cana-5755	101	5	bimodal	bimodal	ADJ
cana-5755	101	6	fusion	fusion	NOUN
cana-5755	101	7	and	and	CCONJ
cana-5755	101	8	transformer	transformer	NOUN
cana-5755	101	9	-	-	PUNCT
cana-5755	101	10	based	base	VERB
cana-5755	101	11	trans	trans	PROPN
cana-5755	101	12	modality	modality	NOUN
cana-5755	101	13	have	have	AUX
cana-5755	101	14	already	already	ADV
cana-5755	101	15	demonstrated	demonstrate	VERB
cana-5755	101	16	state	state	NOUN
cana-5755	101	17	-	-	PUNCT
cana-5755	101	18	of	of	ADP
cana-5755	101	19	-	-	PUNCT
cana-5755	101	20	the	the	DET
cana-5755	101	21	-	-	PUNCT
cana-5755	101	22	art	art	NOUN
cana-5755	101	23	performance	performance	NOUN
cana-5755	101	24	in	in	ADP
cana-5755	101	25	multimodal	multimodal	ADJ
cana-5755	101	26	emotion	emotion	NOUN
cana-5755	101	27	recognition	recognition	NOUN
cana-5755	101	28	.	.	PUNCT
cana-5755	102	1	second	second	ADJ
cana-5755	102	2	,	,	PUNCT
cana-5755	102	3	improving	improve	VERB
cana-5755	102	4	explainability	explainability	NOUN
cana-5755	102	5	and	and	CCONJ
cana-5755	102	6	causal	causal	ADJ
cana-5755	102	7	reasoning	reasoning	NOUN
cana-5755	102	8	will	will	AUX
cana-5755	102	9	boost	boost	VERB
cana-5755	102	10	transparency	transparency	NOUN
cana-5755	102	11	and	and	CCONJ
cana-5755	102	12	trust	trust	NOUN
cana-5755	102	13	,	,	PUNCT
cana-5755	102	14	enabling	enable	VERB
cana-5755	102	15	the	the	DET
cana-5755	102	16	system	system	NOUN
cana-5755	102	17	to	to	PART
cana-5755	102	18	not	not	PART
cana-5755	102	19	only	only	ADV
cana-5755	102	20	identify	identify	VERB
cana-5755	102	21	emotional	emotional	ADJ
cana-5755	102	22	tone	tone	NOUN
cana-5755	102	23	but	but	CCONJ
cana-5755	102	24	also	also	ADV
cana-5755	102	25	infer	infer	VERB
cana-5755	102	26	underlying	underlying	ADJ
cana-5755	102	27	causes	cause	NOUN
cana-5755	102	28	,	,	PUNCT
cana-5755	102	29	in	in	ADP
cana-5755	102	30	line	line	NOUN
cana-5755	102	31	with	with	ADP
cana-5755	102	32	explainable	explainable	ADJ
cana-5755	102	33	ai	ai	NOUN
cana-5755	102	34	principles	principle	NOUN
cana-5755	102	35	.	.	PUNCT
cana-5755	103	1	third	third	ADV
cana-5755	103	2	,	,	PUNCT
cana-5755	103	3	enhancing	enhance	VERB
cana-5755	103	4	domain	domain	NOUN
cana-5755	103	5	adaptation	adaptation	NOUN
cana-5755	103	6	and	and	CCONJ
cana-5755	103	7	generalization	generalization	NOUN
cana-5755	103	8	through	through	ADP
cana-5755	103	9	techniques	technique	NOUN
cana-5755	103	10	like	like	ADP
cana-5755	103	11	few	few	ADJ
cana-5755	103	12	-	-	PUNCT
cana-5755	103	13	shot	shot	NOUN
cana-5755	103	14	learning	learning	NOUN
cana-5755	103	15	,	,	PUNCT
cana-5755	103	16	adversarial	adversarial	ADJ
cana-5755	103	17	training	training	NOUN
cana-5755	103	18	,	,	PUNCT
cana-5755	103	19	and	and	CCONJ
cana-5755	103	20	fine	fine	ADV
cana-5755	103	21	-	-	PUNCT
cana-5755	103	22	tuning	tuning	NOUN
cana-5755	103	23	will	will	AUX
cana-5755	103	24	enable	enable	VERB
cana-5755	103	25	the	the	DET
cana-5755	103	26	model	model	NOUN
cana-5755	103	27	to	to	PART
cana-5755	103	28	effectively	effectively	ADV
cana-5755	103	29	handle	handle	VERB
cana-5755	103	30	diverse	diverse	ADJ
cana-5755	103	31	languages	language	NOUN
cana-5755	103	32	,	,	PUNCT
cana-5755	103	33	cultural	cultural	ADJ
cana-5755	103	34	nuances	nuance	NOUN
cana-5755	103	35	,	,	PUNCT
cana-5755	103	36	and	and	CCONJ
cana-5755	103	37	noisy	noisy	ADJ
cana-5755	103	38	real	real	ADJ
cana-5755	103	39	-	-	PUNCT
cana-5755	103	40	world	world	NOUN
cana-5755	103	41	data	datum	NOUN
cana-5755	103	42	.	.	PUNCT
cana-5755	104	1	fourth	fourth	ADJ
cana-5755	104	2	,	,	PUNCT
cana-5755	104	3	enabling	enable	VERB
cana-5755	104	4	real	real	ADJ
cana-5755	104	5	-	-	PUNCT
cana-5755	104	6	time	time	NOUN
cana-5755	104	7	,	,	PUNCT
cana-5755	104	8	on	on	ADP
cana-5755	104	9	-	-	PUNCT
cana-5755	104	10	device	device	NOUN
cana-5755	104	11	processing	processing	NOUN
cana-5755	104	12	will	will	AUX
cana-5755	104	13	support	support	VERB
cana-5755	104	14	privacy	privacy	NOUN
cana-5755	104	15	-	-	PUNCT
cana-5755	104	16	sensitive	sensitive	ADJ
cana-5755	104	17	and	and	CCONJ
cana-5755	104	18	low	low	ADJ
cana-5755	104	19	-	-	PUNCT
cana-5755	104	20	latency	latency	NOUN
cana-5755	104	21	applications	application	NOUN
cana-5755	104	22	,	,	PUNCT
cana-5755	104	23	such	such	ADJ
cana-5755	104	24	as	as	ADP
cana-5755	104	25	mobile	mobile	ADJ
cana-5755	104	26	or	or	CCONJ
cana-5755	104	27	edge	edge	NOUN
cana-5755	104	28	-	-	PUNCT
cana-5755	104	29	based	base	VERB
cana-5755	104	30	emotion	emotion	NOUN
cana-5755	104	31	detection	detection	NOUN
cana-5755	104	32	tools	tool	NOUN
cana-5755	104	33	.	.	PUNCT
cana-5755	105	1	finally	finally	ADV
cana-5755	105	2	,	,	PUNCT
cana-5755	105	3	focusing	focus	VERB
cana-5755	105	4	on	on	ADP
cana-5755	105	5	ethical	ethical	ADJ
cana-5755	105	6	and	and	CCONJ
cana-5755	105	7	fair	fair	ADJ
cana-5755	105	8	design	design	NOUN
cana-5755	105	9	—	—	PUNCT
cana-5755	105	10	by	by	ADP
cana-5755	105	11	ensuring	ensure	VERB
cana-5755	105	12	diverse	diverse	ADJ
cana-5755	105	13	training	training	NOUN
cana-5755	105	14	datasets	dataset	NOUN
cana-5755	105	15	,	,	PUNCT
cana-5755	105	16	incorporating	incorporate	VERB
cana-5755	105	17	bias	bias	NOUN
cana-5755	105	18	-	-	PUNCT
cana-5755	105	19	detection	detection	NOUN
cana-5755	105	20	tools	tool	NOUN
cana-5755	105	21	,	,	PUNCT
cana-5755	105	22	and	and	CCONJ
cana-5755	105	23	upholding	uphold	VERB
cana-5755	105	24	privacy	privacy	NOUN
cana-5755	105	25	standards	standard	NOUN
cana-5755	105	26	—	—	PUNCT
cana-5755	105	27	will	will	AUX
cana-5755	105	28	promote	promote	VERB
cana-5755	105	29	inclusivity	inclusivity	NOUN
cana-5755	105	30	and	and	CCONJ
cana-5755	105	31	responsible	responsible	ADJ
cana-5755	105	32	ai	ai	PROPN
cana-5755	105	33	deployment	deployment	NOUN
cana-5755	105	34	.	.	PUNCT
cana-5755	106	1	by	by	ADP
cana-5755	106	2	incorporating	incorporate	VERB
cana-5755	106	3	these	these	DET
cana-5755	106	4	enhancements	enhancement	NOUN
cana-5755	106	5	,	,	PUNCT
cana-5755	106	6	the	the	DET
cana-5755	106	7	insightful	insightful	ADJ
cana-5755	106	8	emotion	emotion	NOUN
cana-5755	106	9	extractor	extractor	NOUN
cana-5755	106	10	will	will	AUX
cana-5755	106	11	evolve	evolve	VERB
cana-5755	106	12	into	into	ADP
cana-5755	106	13	a	a	DET
cana-5755	106	14	sophisticated	sophisticated	ADJ
cana-5755	106	15	,	,	PUNCT
cana-5755	106	16	trustworthy	trustworthy	ADJ
cana-5755	106	17	,	,	PUNCT
cana-5755	106	18	and	and	CCONJ
cana-5755	106	19	broadly	broadly	ADV
cana-5755	106	20	applicable	applicable	ADJ
cana-5755	106	21	platform	platform	NOUN
cana-5755	106	22	for	for	ADP
cana-5755	106	23	nuanced	nuanced	ADJ
cana-5755	106	24	emotion	emotion	NOUN
cana-5755	106	25	analysis	analysis	NOUN
cana-5755	106	26	across	across	ADP
cana-5755	106	27	varied	varied	ADJ
cana-5755	106	28	domains	domain	NOUN
cana-5755	106	29	.	.	PUNCT
cana-5755	107	1	references	reference	NOUN
cana-5755	107	2	1.chaturvedi	1.chaturvedi	NUM
cana-5755	107	3	,	,	PUNCT
cana-5755	107	4	s.	s.	PROPN
cana-5755	107	5	;	;	PUNCT
cana-5755	107	6	mishra	mishra	PROPN
cana-5755	107	7	,	,	PUNCT
cana-5755	107	8	v.	v.	PROPN
cana-5755	107	9	;	;	PUNCT
cana-5755	107	10	mishra	mishra	PROPN
cana-5755	107	11	,	,	PUNCT
cana-5755	107	12	n.	n.	PROPN
cana-5755	107	13	sentiment	sentiment	NOUN
cana-5755	107	14	analysis	analysis	NOUN
cana-5755	107	15	using	use	VERB
cana-5755	107	16	machine	machine	NOUN
cana-5755	107	17	learning	learning	NOUN
cana-5755	107	18	for	for	ADP
cana-5755	107	19	business	business	NOUN
cana-5755	107	20	intelligence	intelligence	NOUN
cana-5755	107	21	.	.	PUNCT
cana-5755	108	1	in	in	ADP
cana-5755	108	2	proceedings	proceeding	NOUN
cana-5755	108	3	of	of	ADP
cana-5755	108	4	the2017	the2017	PROPN
cana-5755	108	5	ieee	ieee	PROPN
cana-5755	108	6	international	international	PROPN
cana-5755	108	7	conference	conference	NOUN
cana-5755	108	8	on	on	ADP
cana-5755	108	9	power	power	NOUN
cana-5755	108	10	,	,	PUNCT
cana-5755	108	11	control	control	NOUN
cana-5755	108	12	,	,	PUNCT
cana-5755	108	13	signals	signal	NOUN
cana-5755	108	14	and	and	CCONJ
cana-5755	108	15	instrumentation	instrumentation	NOUN
cana-5755	108	16	engineering	engineering	NOUN
cana-5755	108	17	(	(	PUNCT
cana-5755	108	18	icpcsi	icpcsi	PROPN
cana-5755	108	19	)	)	PUNCT
cana-5755	108	20	,	,	PUNCT
cana-5755	108	21	chennai	chennai	PROPN
cana-5755	108	22	,	,	PUNCT
cana-5755	108	23	india	india	PROPN
cana-5755	108	24	,	,	PUNCT
cana-5755	108	25	21–22	21–22	NUM
cana-5755	108	26	september	september	PROPN
cana-5755	108	27	2017	2017	NUM
cana-5755	108	28	;	;	PUNCT
cana-5755	108	29	pp	pp	ADP
cana-5755	108	30	.	.	PUNCT
cana-5755	109	1	2162–2166	2162–2166	NUM
cana-5755	109	2	.	.	PUNCT
cana-5755	110	1	communications	communication	NOUN
cana-5755	110	2	on	on	ADP
cana-5755	110	3	applied	apply	VERB
cana-5755	110	4	nonlinear	nonlinear	ADJ
cana-5755	110	5	analysis	analysis	NOUN
cana-5755	110	6	issn	issn	NOUN
cana-5755	110	7	:	:	PUNCT
cana-5755	110	8	1074	1074	NUM
cana-5755	110	9	-	-	PUNCT
cana-5755	110	10	133x	133x	NUM
cana-5755	110	11	vol	vol	NOUN
cana-5755	110	12	32	32	NUM
cana-5755	110	13	no	no	NOUN
cana-5755	110	14	.	.	PUNCT
cana-5755	111	1	3s	3s	NUM
cana-5755	111	2	(	(	PUNCT
cana-5755	111	3	2025	2025	NUM
cana-5755	111	4	)	)	PUNCT
cana-5755	111	5	798	798	NUM
cana-5755	111	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5755	111	7	2.bonifazi	2.bonifazi	NUM
cana-5755	111	8	,	,	PUNCT
cana-5755	111	9	g.	g.	PROPN
cana-5755	111	10	;	;	PUNCT
cana-5755	111	11	cauteruccio	cauteruccio	PROPN
cana-5755	111	12	,	,	PUNCT
cana-5755	111	13	f.	f.	PROPN
cana-5755	111	14	;	;	PUNCT
cana-5755	111	15	corradini	corradini	PROPN
cana-5755	111	16	,	,	PUNCT
cana-5755	111	17	e.	e.	PROPN
cana-5755	111	18	;	;	PUNCT
cana-5755	111	19	marchetti	marchetti	PROPN
cana-5755	111	20	,	,	PUNCT
cana-5755	111	21	m.	m.	NOUN
cana-5755	111	22	;	;	PUNCT
cana-5755	111	23	terracina	terracina	NOUN
cana-5755	111	24	,	,	PUNCT
cana-5755	111	25	g.	g.	PROPN
cana-5755	111	26	;	;	PUNCT
cana-5755	111	27	ursino	ursino	PROPN
cana-5755	111	28	,	,	PUNCT
cana-5755	111	29	d.	d.	PROPN
cana-5755	111	30	;	;	PUNCT
cana-5755	111	31	virgili	virgili	PROPN
cana-5755	111	32	,	,	PUNCT
cana-5755	111	33	l.	l.	PROPN
cana-5755	111	34	a	a	DET
cana-5755	111	35	framework	framework	NOUN
cana-5755	111	36	for	for	ADP
cana-5755	111	37	investigating	investigate	VERB
cana-5755	111	38	the	the	DET
cana-5755	111	39	dynamics	dynamic	NOUN
cana-5755	111	40	of	of	ADP
cana-5755	111	41	user	user	NOUN
cana-5755	111	42	and	and	CCONJ
cana-5755	111	43	community	community	NOUN
cana-5755	111	44	sentiments	sentiment	NOUN
cana-5755	111	45	in	in	ADP
cana-5755	111	46	a	a	DET
cana-5755	111	47	social	social	ADJ
cana-5755	111	48	platform	platform	NOUN
cana-5755	111	49	.	.	PUNCT
cana-5755	112	1	data	datum	NOUN
cana-5755	112	2	knowl	knowl	PROPN
cana-5755	112	3	.	.	PUNCT
cana-5755	113	1	eng	eng	PROPN
cana-5755	113	2	.	.	PROPN
cana-5755	113	3	2023	2023	NUM
cana-5755	113	4	,	,	PUNCT
cana-5755	113	5	146	146	NUM
cana-5755	113	6	,	,	PUNCT
cana-5755	113	7	102183	102183	NUM
cana-5755	113	8	.	.	PUNCT
cana-5755	114	1	[	[	X
cana-5755	114	2	crossref	crossref	X
cana-5755	114	3	]	]	X
cana-5755	114	4	3.cauteruccio	3.cauteruccio	NUM
cana-5755	114	5	,	,	PUNCT
cana-5755	114	6	f.	f.	PROPN
cana-5755	114	7	;	;	PUNCT
cana-5755	114	8	kou	kou	PROPN
cana-5755	114	9	,	,	PUNCT
cana-5755	114	10	y.	y.	PROPN
cana-5755	114	11	investigating	investigate	VERB
cana-5755	114	12	the	the	DET
cana-5755	114	13	emotional	emotional	ADJ
cana-5755	114	14	experiences	experience	NOUN
cana-5755	114	15	in	in	ADP
cana-5755	114	16	esports	esport	NOUN
cana-5755	114	17	spectatorship	spectatorship	NOUN
cana-5755	114	18	:	:	PUNCT
cana-5755	114	19	the	the	DET
cana-5755	114	20	case	case	NOUN
cana-5755	114	21	of	of	ADP
cana-5755	114	22	league	league	NOUN
cana-5755	114	23	of	of	ADP
cana-5755	114	24	legends	legend	NOUN
cana-5755	114	25	.	.	PUNCT
cana-5755	115	1	inf	inf	PROPN
cana-5755	115	2	.	.	PROPN
cana-5755	115	3	process	process	NOUN
cana-5755	115	4	.	.	PUNCT
cana-5755	116	1	manag	manag	PROPN
cana-5755	116	2	.	.	PUNCT
cana-5755	117	1	2023	2023	NUM
cana-5755	117	2	,	,	PUNCT
cana-5755	117	3	60	60	NUM
cana-5755	117	4	,	,	PUNCT
cana-5755	117	5	103516	103516	NUM
cana-5755	117	6	.	.	PUNCT
cana-5755	118	1	[	[	X
cana-5755	118	2	crossref	crossref	X
cana-5755	118	3	]	]	X
cana-5755	118	4	4.wankhade	4.wankhade	NUM
cana-5755	118	5	,	,	PUNCT
cana-5755	118	6	m.	m.	NOUN
cana-5755	118	7	;	;	PUNCT
cana-5755	118	8	rao	rao	PROPN
cana-5755	118	9	,	,	PUNCT
cana-5755	118	10	a.c.s	a.c.s	PROPN
cana-5755	118	11	.	.	PROPN
cana-5755	118	12	;	;	PUNCT
cana-5755	118	13	kulkarni	kulkarni	PROPN
cana-5755	118	14	,	,	PUNCT
cana-5755	118	15	c.	c.	PROPN
cana-5755	118	16	a	a	DET
cana-5755	118	17	survey	survey	NOUN
cana-5755	118	18	on	on	ADP
cana-5755	118	19	sentiment	sentiment	NOUN
cana-5755	118	20	analysis	analysis	NOUN
cana-5755	118	21	methods	method	NOUN
cana-5755	118	22	,	,	PUNCT
cana-5755	118	23	applications	application	NOUN
cana-5755	118	24	,	,	PUNCT
cana-5755	118	25	and	and	CCONJ
cana-5755	118	26	challenges	challenge	NOUN
cana-5755	118	27	.	.	PUNCT
cana-5755	119	1	artif	artif	INTJ
cana-5755	119	2	.	.	PUNCT
cana-5755	120	1	intell	intell	PROPN
cana-5755	120	2	.	.	PUNCT
cana-5755	121	1	rev.2022	rev.2022	NOUN
cana-5755	121	2	,	,	PUNCT
cana-5755	121	3	55	55	NUM
cana-5755	121	4	,	,	PUNCT
cana-5755	121	5	5731–5780	5731–5780	NUM
cana-5755	121	6	.	.	PUNCT
cana-5755	122	1	[	[	X
cana-5755	122	2	crossref	crossref	X
cana-5755	122	3	]	]	X
cana-5755	122	4	5.schmidt	5.schmidt	NUM
cana-5755	122	5	,	,	PUNCT
cana-5755	122	6	r.k	r.k	PROPN
cana-5755	122	7	.	.	PROPN
cana-5755	122	8	automatic	automatic	ADJ
cana-5755	122	9	document	document	NOUN
cana-5755	122	10	classification	classification	NOUN
cana-5755	122	11	in	in	ADP
cana-5755	122	12	technical	technical	ADJ
cana-5755	122	13	logbooks	logbook	NOUN
cana-5755	122	14	:	:	PUNCT
cana-5755	122	15	a	a	DET
cana-5755	122	16	comparative	comparative	ADJ
cana-5755	122	17	study	study	NOUN
cana-5755	122	18	of	of	ADP
cana-5755	122	19	supervised	supervised	ADJ
cana-5755	122	20	,	,	PUNCT
cana-5755	122	21	weakly	weakly	ADV
cana-5755	122	22	supervised	supervised	ADJ
cana-5755	122	23	and	and	CCONJ
cana-5755	122	24	unsupervised	unsupervised	ADJ
cana-5755	122	25	machine	machine	NOUN
cana-5755	122	26	learning	learning	NOUN
cana-5755	122	27	approaches	approach	NOUN
cana-5755	122	28	.	.	PUNCT
cana-5755	123	1	master	master	NOUN
cana-5755	123	2	’s	’s	PART
cana-5755	123	3	thesis	thesis	NOUN
cana-5755	123	4	,	,	PUNCT
cana-5755	123	5	universidade	universidade	PROPN
cana-5755	123	6	nova	nova	PROPN
cana-5755	123	7	de	de	PROPN
cana-5755	123	8	lisboa	lisboa	PROPN
cana-5755	123	9	,	,	PUNCT
cana-5755	123	10	lisboa	lisboa	PROPN
cana-5755	123	11	,	,	PUNCT
cana-5755	123	12	portugal	portugal	PROPN
cana-5755	123	13	,	,	PUNCT
cana-5755	123	14	2024	2024	NUM
cana-5755	123	15	.	.	PUNCT
cana-5755	124	1	6	6	NUM
cana-5755	124	2	.	.	X
cana-5755	124	3	abdussalam	abdussalam	PROPN
cana-5755	124	4	,	,	PUNCT
cana-5755	124	5	m.f	m.f	PROPN
cana-5755	124	6	.	.	PROPN
cana-5755	124	7	;	;	PUNCT
cana-5755	124	8	richasdy	richasdy	NOUN
cana-5755	124	9	,	,	PUNCT
cana-5755	124	10	d.	d.	PROPN
cana-5755	124	11	;	;	PUNCT
cana-5755	124	12	bijaksana	bijaksana	PROPN
cana-5755	124	13	,	,	PUNCT
cana-5755	124	14	m.a	m.a	PROPN
cana-5755	124	15	.	.	PROPN
cana-5755	124	16	bert	bert	PROPN
cana-5755	124	17	implementation	implementation	NOUN
cana-5755	124	18	on	on	ADP
cana-5755	124	19	news	news	NOUN
cana-5755	124	20	sentiment	sentiment	NOUN
cana-5755	124	21	analysis	analysis	NOUN
cana-5755	124	22	and	and	CCONJ
cana-5755	124	23	analysis	analysis	NOUN
cana-5755	124	24	benefits	benefit	NOUN
cana-5755	124	25	on	on	ADP
cana-5755	124	26	branding	branding	NOUN
cana-5755	124	27	.	.	PUNCT
cana-5755	125	1	j.	j.	PROPN
cana-5755	125	2	media	media	PROPN
cana-5755	125	3	inform	inform	NOUN
cana-5755	125	4	.	.	PUNCT
cana-5755	125	5	budidarma	budidarma	VERB
cana-5755	125	6	2022	2022	NUM
cana-5755	125	7	,	,	PUNCT
cana-5755	125	8	6	6	NUM
cana-5755	125	9	,	,	PUNCT
cana-5755	125	10	2064–2073	2064–2073	NUM
cana-5755	125	11	.	.	PUNCT
cana-5755	126	1	[	[	X
cana-5755	126	2	crossref	crossref	X
cana-5755	126	3	]	]	X
cana-5755	126	4	7	7	X
cana-5755	126	5	.	.	X
cana-5755	126	6	cambria	cambria	PROPN
cana-5755	126	7	,	,	PUNCT
cana-5755	126	8	e.	e.	PROPN
cana-5755	126	9	;	;	PUNCT
cana-5755	126	10	schuller	schuller	PROPN
cana-5755	126	11	,	,	PUNCT
cana-5755	126	12	b.	b.	PROPN
cana-5755	126	13	;	;	PUNCT
cana-5755	126	14	xia	xia	PROPN
cana-5755	126	15	,	,	PUNCT
cana-5755	126	16	y.	y.	PROPN
cana-5755	126	17	;	;	PUNCT
cana-5755	126	18	havasi	havasi	NOUN
cana-5755	126	19	,	,	PUNCT
cana-5755	126	20	c.	c.	PROPN
cana-5755	126	21	new	new	ADJ
cana-5755	126	22	avenues	avenue	NOUN
cana-5755	126	23	in	in	ADP
cana-5755	126	24	opinion	opinion	NOUN
cana-5755	126	25	mining	mining	NOUN
cana-5755	126	26	and	and	CCONJ
cana-5755	126	27	sentiment	sentiment	NOUN
cana-5755	126	28	analysis	analysis	NOUN
cana-5755	126	29	.	.	PUNCT
cana-5755	127	1	ieee	ieee	PROPN
cana-5755	127	2	intell	intell	PROPN
cana-5755	127	3	.	.	PUNCT
cana-5755	128	1	syst	syst	PROPN
cana-5755	128	2	.	.	PUNCT
cana-5755	129	1	2013	2013	NUM
cana-5755	129	2	,	,	PUNCT
cana-5755	129	3	28,15–21	28,15–21	PROPN
cana-5755	129	4	.	.	PUNCT
cana-5755	130	1	[	[	X
cana-5755	130	2	crossref	crossref	X
cana-5755	130	3	]	]	X
cana-5755	130	4	8.fanni	8.fanni	NUM
cana-5755	130	5	,	,	PUNCT
cana-5755	130	6	s.c	s.c	PROPN
cana-5755	130	7	.	.	PROPN
cana-5755	130	8	;	;	PUNCT
cana-5755	130	9	febi	febi	PROPN
cana-5755	130	10	,	,	PUNCT
cana-5755	130	11	m.	m.	NOUN
cana-5755	130	12	;	;	PUNCT
cana-5755	130	13	aghakhanyan	aghakhanyan	ADJ
cana-5755	130	14	,	,	PUNCT
cana-5755	130	15	g.	g.	PROPN
cana-5755	130	16	;	;	PUNCT
cana-5755	130	17	neri	neri	PROPN
cana-5755	130	18	,	,	PUNCT
cana-5755	130	19	e.	e.	PROPN
cana-5755	130	20	natural	natural	PROPN
cana-5755	130	21	language	language	NOUN
cana-5755	130	22	processing	processing	NOUN
cana-5755	130	23	.	.	PUNCT
cana-5755	131	1	in	in	ADP
cana-5755	131	2	introduction	introduction	NOUN
cana-5755	131	3	to	to	ADP
cana-5755	131	4	artificial	artificial	ADJ
cana-5755	131	5	intelligence	intelligence	NOUN
cana-5755	131	6	;	;	PUNCT
cana-5755	131	7	springer	springer	NOUN
cana-5755	131	8	:	:	PUNCT
cana-5755	131	9	berlin	berlin	PROPN
cana-5755	131	10	/	/	SYM
cana-5755	131	11	heidelberg	heidelberg	PROPN
cana-5755	131	12	,	,	PUNCT
cana-5755	131	13	germany	germany	PROPN
cana-5755	131	14	,	,	PUNCT
cana-5755	131	15	2023	2023	NUM
cana-5755	131	16	;	;	PUNCT
cana-5755	131	17	pp	pp	PROPN
cana-5755	131	18	.	.	PUNCT
cana-5755	132	1	87–99	87–99	NUM
cana-5755	132	2	.	.	NOUN
cana-5755	133	1	9	9	NUM
cana-5755	133	2	.	.	X
cana-5755	134	1	khurana	khurana	PROPN
cana-5755	134	2	,	,	PUNCT
cana-5755	134	3	d.	d.	PROPN
cana-5755	134	4	;	;	PUNCT
cana-5755	134	5	koli	koli	PROPN
cana-5755	134	6	,	,	PUNCT
cana-5755	134	7	a.	a.	NOUN
cana-5755	134	8	;	;	PUNCT
cana-5755	134	9	khatter	khatter	PROPN
cana-5755	134	10	,	,	PUNCT
cana-5755	134	11	k.	k.	PROPN
cana-5755	134	12	;	;	PUNCT
cana-5755	134	13	singh	singh	PROPN
cana-5755	134	14	,	,	PUNCT
cana-5755	134	15	s.	s.	PROPN
cana-5755	134	16	natural	natural	ADJ
cana-5755	134	17	language	language	NOUN
cana-5755	134	18	processing	processing	NOUN
cana-5755	134	19	:	:	PUNCT
cana-5755	134	20	state	state	NOUN
cana-5755	134	21	of	of	ADP
cana-5755	134	22	the	the	DET
cana-5755	134	23	art	art	NOUN
cana-5755	134	24	,	,	PUNCT
cana-5755	134	25	current	current	ADJ
cana-5755	134	26	trends	trend	NOUN
cana-5755	134	27	and	and	CCONJ
cana-5755	134	28	challenges	challenge	NOUN
cana-5755	134	29	.	.	PUNCT
cana-5755	135	1	multimed	multime	VERB
cana-5755	135	2	.	.	PUNCT
cana-5755	135	3	tools	tool	NOUN
cana-5755	135	4	appl	appl	NOUN
cana-5755	135	5	.	.	PUNCT
cana-5755	136	1	2023	2023	NUM
cana-5755	136	2	,	,	PUNCT
cana-5755	136	3	82	82	NUM
cana-5755	136	4	,	,	PUNCT
cana-5755	136	5	3713–3744	3713–3744	NUM
cana-5755	136	6	.	.	PUNCT
cana-5755	137	1	[	[	X
cana-5755	137	2	crossref	crossref	X
cana-5755	137	3	]	]	X
cana-5755	138	1	[	[	X
cana-5755	138	2	pubmed	pubmed	X
cana-5755	138	3	]	]	X
cana-5755	138	4	10	10	NUM
cana-5755	138	5	.	.	PUNCT
cana-5755	139	1	loukili	loukili	NOUN
cana-5755	139	2	,	,	PUNCT
cana-5755	139	3	m.	m.	NOUN
cana-5755	139	4	;	;	PUNCT
cana-5755	139	5	messaoudi	messaoudi	PROPN
cana-5755	139	6	,	,	PUNCT
cana-5755	139	7	f.	f.	PROPN
cana-5755	139	8	;	;	PUNCT
cana-5755	139	9	el	el	PROPN
cana-5755	139	10	ghazi	ghazi	PROPN
cana-5755	139	11	,	,	PUNCT
cana-5755	139	12	m.	m.	NOUN
cana-5755	139	13	sentiment	sentiment	NOUN
cana-5755	139	14	analysis	analysis	NOUN
cana-5755	139	15	of	of	ADP
cana-5755	139	16	product	product	NOUN
cana-5755	139	17	reviews	review	NOUN
cana-5755	139	18	for	for	ADP
cana-5755	139	19	ecommerce	ecommerce	NOUN
cana-5755	139	20	recommendation	recommendation	NOUN
cana-5755	139	21	based	base	VERB
cana-5755	139	22	on	on	ADP
cana-5755	139	23	machine	machine	NOUN
cana-5755	139	24	learning	learning	NOUN
cana-5755	139	25	.	.	PUNCT
cana-5755	140	1	int	int	NOUN
cana-5755	140	2	.	.	PUNCT
cana-5755	141	1	j.	j.	PROPN
cana-5755	141	2	adv	adv	PROPN
cana-5755	141	3	.	.	PUNCT
cana-5755	141	4	soft	soft	ADJ
cana-5755	141	5	comput	comput	NOUN
cana-5755	141	6	.	.	PUNCT
cana-5755	142	1	appl	appl	PROPN
cana-5755	142	2	.	.	PROPN
cana-5755	143	1	2023	2023	NUM
cana-5755	143	2	,	,	PUNCT
cana-5755	143	3	15	15	NUM
cana-5755	143	4	,	,	PUNCT
cana-5755	143	5	1–13	1–13	NOUN
cana-5755	143	6	.	.	PUNCT
cana-5755	144	1	11	11	NUM
cana-5755	144	2	.	.	X
cana-5755	145	1	mercha	mercha	PROPN
cana-5755	145	2	,	,	PUNCT
cana-5755	145	3	e.m	e.m	PROPN
cana-5755	145	4	.	.	PROPN
cana-5755	145	5	;	;	PUNCT
cana-5755	145	6	benbrahim	benbrahim	PROPN
cana-5755	145	7	,	,	PUNCT
cana-5755	145	8	h.	h.	PROPN
cana-5755	145	9	machine	machine	NOUN
cana-5755	145	10	learning	learning	NOUN
cana-5755	145	11	and	and	CCONJ
cana-5755	145	12	deep	deep	ADJ
cana-5755	145	13	learning	learning	NOUN
cana-5755	145	14	for	for	ADP
cana-5755	145	15	sentiment	sentiment	NOUN
cana-5755	145	16	analysis	analysis	NOUN
cana-5755	145	17	across	across	ADP
cana-5755	145	18	languages	language	NOUN
cana-5755	145	19	:	:	PUNCT
cana-5755	145	20	a	a	DET
cana-5755	145	21	survey	survey	NOUN
cana-5755	145	22	.	.	PUNCT
cana-5755	146	1	neurocomputing	neurocompute	VERB
cana-5755	146	2	2023	2023	NUM
cana-5755	146	3	,	,	PUNCT
cana-5755	146	4	531	531	NUM
cana-5755	146	5	,	,	PUNCT
cana-5755	146	6	195–216	195–216	NUM
cana-5755	146	7	.	.	PUNCT
cana-5755	147	1	[	[	X
cana-5755	147	2	crossref	crossref	X
cana-5755	147	3	]	]	X
cana-5755	147	4	12	12	NUM
cana-5755	147	5	.	.	PUNCT
cana-5755	147	6	luthra	luthra	PROPN
cana-5755	147	7	,	,	PUNCT
cana-5755	147	8	r.	r.	PROPN
cana-5755	147	9	;	;	PUNCT
cana-5755	147	10	bisht	bisht	PROPN
cana-5755	147	11	,	,	PUNCT
cana-5755	147	12	g.s	g.s	PROPN
cana-5755	147	13	.	.	PROPN
cana-5755	147	14	;	;	PUNCT
cana-5755	147	15	sharma	sharma	PROPN
cana-5755	147	16	,	,	PUNCT
cana-5755	147	17	v.k	v.k	PROPN
cana-5755	147	18	.	.	NOUN
cana-5755	147	19	cardiovascular	cardiovascular	ADJ
cana-5755	147	20	diseases	disease	NOUN
cana-5755	147	21	(	(	PUNCT
cana-5755	147	22	cvd	cvd	NOUN
cana-5755	147	23	)	)	PUNCT
cana-5755	147	24	prediction	prediction	NOUN
cana-5755	147	25	models	model	NOUN
cana-5755	147	26	:	:	PUNCT
cana-5755	147	27	a	a	DET
cana-5755	147	28	systematic	systematic	ADJ
cana-5755	147	29	review	review	NOUN
cana-5755	147	30	;	;	PUNCT
cana-5755	147	31	jaypee	jaypee	PROPN
cana-5755	147	32	university	university	PROPN
cana-5755	147	33	of	of	ADP
cana-5755	147	34	information	information	NOUN
cana-5755	147	35	technology	technology	PROPN
cana-5755	147	36	:	:	PUNCT
cana-5755	147	37	himachal	himachal	PROPN
cana-5755	147	38	pradesh	pradesh	PROPN
cana-5755	147	39	,	,	PUNCT
cana-5755	147	40	india	india	PROPN
cana-5755	147	41	,	,	PUNCT
cana-5755	147	42	2023	2023	NUM
cana-5755	147	43	.	.	PUNCT
cana-5755	148	1	13.julianto	13.julianto	NUM
cana-5755	148	2	,	,	PUNCT
cana-5755	148	3	i.t	i.t	PROPN
cana-5755	148	4	.	.	PROPN
cana-5755	148	5	;	;	PUNCT
cana-5755	148	6	kurniadi	kurniadi	PROPN
cana-5755	148	7	,	,	PUNCT
cana-5755	148	8	d.	d.	PROPN
cana-5755	148	9	;	;	PUNCT
cana-5755	148	10	septiana	septiana	PROPN
cana-5755	148	11	,	,	PUNCT
cana-5755	148	12	y.	y.	PROPN
cana-5755	148	13	;	;	PUNCT
cana-5755	148	14	sutedi	sutedi	PROPN
cana-5755	148	15	,	,	PUNCT
cana-5755	148	16	a.	a.	NOUN
cana-5755	148	17	alternative	alternative	NOUN
cana-5755	148	18	text	text	NOUN
cana-5755	148	19	pre	pre	ADJ
cana-5755	148	20	-	-	ADJ
cana-5755	148	21	processing	processing	ADJ
cana-5755	148	22	using	use	VERB
cana-5755	148	23	chat	chat	NOUN
cana-5755	148	24	gpt	gpt	NOUN
cana-5755	148	25	open	open	ADJ
cana-5755	148	26	ai	ai	PROPN
cana-5755	148	27	.	.	PUNCT
cana-5755	148	28	j.	j.	PROPN
cana-5755	148	29	nas	nas	PROPN
cana-5755	148	30	.	.	PUNCT
cana-5755	149	1	pendidik	pendidik	PROPN
cana-5755	149	2	.	.	PROPN
cana-5755	149	3	tek.inform	tek.inform	NOUN
cana-5755	149	4	.	.	PUNCT
cana-5755	150	1	janapati	janapati	PROPN
cana-5755	150	2	2023	2023	NUM
cana-5755	150	3	,	,	PUNCT
cana-5755	150	4	12	12	NUM
cana-5755	150	5	,	,	PUNCT
cana-5755	150	6	67–77	67–77	NUM
cana-5755	150	7	.	.	PUNCT
cana-5755	151	1	[	[	X
cana-5755	151	2	crossref	crossref	X
cana-5755	151	3	]	]	X
cana-5755	151	4	14	14	NUM
cana-5755	151	5	.	.	PUNCT
cana-5755	152	1	krugmann	krugmann	PROPN
cana-5755	152	2	,	,	PUNCT
cana-5755	152	3	j.o	j.o	PROPN
cana-5755	152	4	.	.	PROPN
cana-5755	152	5	;	;	PUNCT
cana-5755	152	6	hartmann	hartmann	PROPN
cana-5755	152	7	,	,	PUNCT
cana-5755	152	8	j.	j.	PROPN
cana-5755	152	9	sentiment	sentiment	PROPN
cana-5755	152	10	analysis	analysis	NOUN
cana-5755	152	11	in	in	ADP
cana-5755	152	12	the	the	DET
cana-5755	152	13	age	age	NOUN
cana-5755	152	14	of	of	ADP
cana-5755	152	15	generative	generative	ADJ
cana-5755	152	16	ai	ai	PROPN
cana-5755	152	17	.	.	PROPN
cana-5755	152	18	cust	cust	PROPN
cana-5755	152	19	.	.	PUNCT
cana-5755	153	1	needs	need	NOUN
cana-5755	153	2	solut	solut	NOUN
cana-5755	153	3	.	.	PUNCT
cana-5755	154	1	2024	2024	NUM
cana-5755	154	2	,	,	PUNCT
cana-5755	154	3	11	11	NUM
cana-5755	154	4	,	,	PUNCT
cana-5755	154	5	3	3	NUM
cana-5755	154	6	.	.	PUNCT
cana-5755	155	1	[	[	X
cana-5755	155	2	crossref	crossref	X
cana-5755	155	3	]	]	X