id	sid	tid	token	lemma	pos
cana-2344	1	1	communications	communication	NOUN
cana-2344	1	2	on	on	ADP
cana-2344	1	3	applied	apply	VERB
cana-2344	1	4	nonlinear	nonlinear	ADJ
cana-2344	1	5	analysis	analysis	NOUN
cana-2344	1	6	issn	issn	NOUN
cana-2344	1	7	:	:	PUNCT
cana-2344	1	8	1074	1074	NUM
cana-2344	1	9	-	-	PUNCT
cana-2344	1	10	133x	133x	NUM
cana-2344	1	11	vol	vol	NOUN
cana-2344	1	12	32	32	NUM
cana-2344	1	13	no	no	NOUN
cana-2344	1	14	.	.	PUNCT
cana-2344	2	1	1s	1s	NUM
cana-2344	2	2	(	(	PUNCT
cana-2344	2	3	2025	2025	NUM
cana-2344	2	4	)	)	PUNCT
cana-2344	2	5	557	557	NUM
cana-2344	3	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2344	3	2	dynamic	dynamic	ADJ
cana-2344	3	3	lexicon	lexicon	NOUN
cana-2344	3	4	-	-	PUNCT
cana-2344	3	5	based	base	VERB
cana-2344	3	6	sentiment	sentiment	NOUN
cana-2344	3	7	analysis	analysis	NOUN
cana-2344	3	8	architecture	architecture	NOUN
cana-2344	3	9	using	use	VERB
cana-2344	3	10	nonlinear	nonlinear	ADJ
cana-2344	3	11	feature	feature	NOUN
cana-2344	3	12	optimization	optimization	NOUN
cana-2344	4	1	1v	1v	NUM
cana-2344	4	2	r	r	NOUN
cana-2344	4	3	n	n	NOUN
cana-2344	4	4	s	s	NOUN
cana-2344	4	5	s	s	PROPN
cana-2344	4	6	v	v	NOUN
cana-2344	4	7	saileela	saileela	NOUN
cana-2344	4	8	p	p	X
cana-2344	4	9	,	,	PUNCT
cana-2344	4	10	2dr	2dr	ADJ
cana-2344	4	11	.	.	PUNCT
cana-2344	5	1	n.	n.	PROPN
cana-2344	5	2	naga	naga	PROPN
cana-2344	5	3	malleswara	malleswara	PROPN
cana-2344	5	4	rao	rao	PROPN
cana-2344	5	5	1research	1research	NUM
cana-2344	5	6	scholar	scholar	NOUN
cana-2344	5	7	,	,	PUNCT
cana-2344	5	8	department	department	NOUN
cana-2344	5	9	of	of	ADP
cana-2344	5	10	cse	cse	PROPN
cana-2344	5	11	,	,	PUNCT
cana-2344	5	12	anu	anu	PROPN
cana-2344	5	13	college	college	PROPN
cana-2344	5	14	of	of	ADP
cana-2344	5	15	engineering	engineering	PROPN
cana-2344	5	16	&	&	CCONJ
cana-2344	5	17	technology	technology	NOUN
cana-2344	5	18	,	,	PUNCT
cana-2344	5	19	guntur	guntur	PROPN
cana-2344	5	20	,	,	PUNCT
cana-2344	5	21	ap	ap	PROPN
cana-2344	5	22	,	,	PUNCT
cana-2344	5	23	india	india	PROPN
cana-2344	5	24	.	.	PUNCT
cana-2344	5	25	email	email	NOUN
cana-2344	5	26	:	:	PUNCT
cana-2344	5	27	saileelavenkata@gmail.com	saileelavenkata@gmail.com	X
cana-2344	6	1	2professor	2professor	NUM
cana-2344	6	2	,	,	PUNCT
cana-2344	6	3	department	department	NOUN
cana-2344	6	4	of	of	ADP
cana-2344	6	5	information	information	NOUN
cana-2344	6	6	technology	technology	NOUN
cana-2344	6	7	,	,	PUNCT
cana-2344	6	8	rvr	rvr	PROPN
cana-2344	6	9	&	&	CCONJ
cana-2344	6	10	jc	jc	PROPN
cana-2344	6	11	college	college	PROPN
cana-2344	6	12	of	of	ADP
cana-2344	6	13	engineering	engineering	PROPN
cana-2344	6	14	&	&	CCONJ
cana-2344	6	15	technology	technology	NOUN
cana-2344	6	16	,	,	PUNCT
cana-2344	6	17	guntur	guntur	PROPN
cana-2344	6	18	,	,	PUNCT
cana-2344	6	19	ap	ap	PROPN
cana-2344	6	20	,	,	PUNCT
cana-2344	6	21	india	india	PROPN
cana-2344	6	22	,	,	PUNCT
cana-2344	6	23	email	email	NOUN
cana-2344	6	24	:	:	PUNCT
cana-2344	6	25	nnmrao@rvrjc.ac.in	nnmrao@rvrjc.ac.in	X
cana-2344	6	26	article	article	NOUN
cana-2344	6	27	history	history	NOUN
cana-2344	6	28	:	:	PUNCT
cana-2344	6	29	received	receive	VERB
cana-2344	6	30	:	:	PUNCT
cana-2344	6	31	30	30	NUM
cana-2344	6	32	-	-	SYM
cana-2344	6	33	08	08	NUM
cana-2344	6	34	-	-	PUNCT
cana-2344	6	35	2024	2024	NUM
cana-2344	6	36	revised	revise	VERB
cana-2344	6	37	:	:	PUNCT
cana-2344	6	38	16	16	NUM
cana-2344	6	39	-	-	SYM
cana-2344	6	40	10	10	NUM
cana-2344	6	41	-	-	PUNCT
cana-2344	6	42	2024	2024	NUM
cana-2344	6	43	accepted	accept	VERB
cana-2344	6	44	:	:	PUNCT
cana-2344	6	45	01	01	NUM
cana-2344	6	46	-	-	SYM
cana-2344	6	47	11	11	NUM
cana-2344	6	48	-	-	PUNCT
cana-2344	6	49	2024	2024	NUM
cana-2344	6	50	abstract	abstract	NOUN
cana-2344	6	51	:	:	PUNCT
cana-2344	6	52	dynamic	dynamic	ADJ
cana-2344	6	53	lexicon	lexicon	NOUN
cana-2344	6	54	-	-	PUNCT
cana-2344	6	55	based	base	VERB
cana-2344	6	56	sentiment	sentiment	NOUN
cana-2344	6	57	analysis	analysis	NOUN
cana-2344	6	58	(	(	PUNCT
cana-2344	6	59	dlsa	dlsa	ADJ
cana-2344	6	60	)	)	PUNCT
cana-2344	6	61	improves	improve	VERB
cana-2344	6	62	sentiment	sentiment	NOUN
cana-2344	6	63	detection	detection	NOUN
cana-2344	6	64	by	by	ADP
cana-2344	6	65	using	use	VERB
cana-2344	6	66	adaptive	adaptive	ADJ
cana-2344	6	67	,	,	PUNCT
cana-2344	6	68	nonlinear	nonlinear	ADJ
cana-2344	6	69	feature	feature	NOUN
cana-2344	6	70	optimization	optimization	NOUN
cana-2344	6	71	techniques	technique	NOUN
cana-2344	6	72	.	.	PUNCT
cana-2344	7	1	the	the	DET
cana-2344	7	2	model	model	NOUN
cana-2344	7	3	targets	target	VERB
cana-2344	7	4	gaps	gap	NOUN
cana-2344	7	5	in	in	ADP
cana-2344	7	6	traditional	traditional	ADJ
cana-2344	7	7	methods	method	NOUN
cana-2344	7	8	,	,	PUNCT
cana-2344	7	9	which	which	PRON
cana-2344	7	10	often	often	ADV
cana-2344	7	11	miss	miss	VERB
cana-2344	7	12	complex	complex	ADJ
cana-2344	7	13	and	and	CCONJ
cana-2344	7	14	subtle	subtle	ADJ
cana-2344	7	15	sentiment	sentiment	NOUN
cana-2344	7	16	patterns	pattern	NOUN
cana-2344	7	17	.	.	PUNCT
cana-2344	8	1	dlsa	dlsa	ADJ
cana-2344	8	2	integrates	integrate	NOUN
cana-2344	8	3	modules	module	NOUN
cana-2344	8	4	for	for	ADP
cana-2344	8	5	text	text	NOUN
cana-2344	8	6	preprocessing	preprocessing	NOUN
cana-2344	8	7	,	,	PUNCT
cana-2344	8	8	lexicon	lexicon	ADJ
cana-2344	8	9	and	and	CCONJ
cana-2344	8	10	phrase	phrase	NOUN
cana-2344	8	11	extraction	extraction	NOUN
cana-2344	8	12	,	,	PUNCT
cana-2344	8	13	and	and	CCONJ
cana-2344	8	14	feature	feature	VERB
cana-2344	8	15	optimization	optimization	NOUN
cana-2344	8	16	with	with	ADP
cana-2344	8	17	genetic	genetic	ADJ
cana-2344	8	18	algorithms	algorithm	NOUN
cana-2344	8	19	.	.	PUNCT
cana-2344	9	1	the	the	DET
cana-2344	9	2	system	system	NOUN
cana-2344	9	3	refines	refine	VERB
cana-2344	9	4	feature	feature	NOUN
cana-2344	9	5	sets	set	NOUN
cana-2344	9	6	by	by	ADP
cana-2344	9	7	selecting	select	VERB
cana-2344	9	8	,	,	PUNCT
cana-2344	9	9	combining	combine	VERB
cana-2344	9	10	,	,	PUNCT
cana-2344	9	11	and	and	CCONJ
cana-2344	9	12	adjusting	adjust	VERB
cana-2344	9	13	features	feature	NOUN
cana-2344	9	14	based	base	VERB
cana-2344	9	15	on	on	ADP
cana-2344	9	16	real	real	ADJ
cana-2344	9	17	-	-	PUNCT
cana-2344	9	18	time	time	NOUN
cana-2344	9	19	performance	performance	NOUN
cana-2344	9	20	data	datum	NOUN
cana-2344	9	21	.	.	PUNCT
cana-2344	10	1	key	key	ADJ
cana-2344	10	2	findings	finding	NOUN
cana-2344	10	3	show	show	VERB
cana-2344	10	4	dlsa	dlsa	ADJ
cana-2344	10	5	outperforms	outperform	NOUN
cana-2344	10	6	traditional	traditional	ADJ
cana-2344	10	7	models	model	NOUN
cana-2344	10	8	like	like	ADP
cana-2344	10	9	slpcf	slpcf	NOUN
cana-2344	10	10	in	in	ADP
cana-2344	10	11	accuracy	accuracy	NOUN
cana-2344	10	12	,	,	PUNCT
cana-2344	10	13	precision	precision	NOUN
cana-2344	10	14	,	,	PUNCT
cana-2344	10	15	and	and	CCONJ
cana-2344	10	16	recall	recall	NOUN
cana-2344	10	17	,	,	PUNCT
cana-2344	10	18	especially	especially	ADV
cana-2344	10	19	in	in	ADP
cana-2344	10	20	analyzing	analyze	VERB
cana-2344	10	21	nuanced	nuanced	ADJ
cana-2344	10	22	text	text	NOUN
cana-2344	10	23	data	datum	NOUN
cana-2344	10	24	.	.	PUNCT
cana-2344	11	1	this	this	DET
cana-2344	11	2	approach	approach	NOUN
cana-2344	11	3	provides	provide	VERB
cana-2344	11	4	a	a	DET
cana-2344	11	5	flexible	flexible	ADJ
cana-2344	11	6	and	and	CCONJ
cana-2344	11	7	efficient	efficient	ADJ
cana-2344	11	8	solution	solution	NOUN
cana-2344	11	9	,	,	PUNCT
cana-2344	11	10	enhancing	enhance	VERB
cana-2344	11	11	the	the	DET
cana-2344	11	12	accuracy	accuracy	NOUN
cana-2344	11	13	of	of	ADP
cana-2344	11	14	sentiment	sentiment	NOUN
cana-2344	11	15	classification	classification	NOUN
cana-2344	11	16	in	in	ADP
cana-2344	11	17	varied	varied	ADJ
cana-2344	11	18	applications	application	NOUN
cana-2344	11	19	.	.	PUNCT
cana-2344	12	1	keywords	keyword	NOUN
cana-2344	12	2	:	:	PUNCT
cana-2344	12	3	dynamic	dynamic	ADJ
cana-2344	12	4	lexicon	lexicon	NOUN
cana-2344	12	5	-	-	PUNCT
cana-2344	12	6	based	base	VERB
cana-2344	12	7	sentiment	sentiment	NOUN
cana-2344	12	8	analysis	analysis	NOUN
cana-2344	12	9	,	,	PUNCT
cana-2344	12	10	feature	feature	NOUN
cana-2344	12	11	optimization	optimization	NOUN
cana-2344	12	12	,	,	PUNCT
cana-2344	12	13	genetic	genetic	ADJ
cana-2344	12	14	algorithm	algorithm	NOUN
cana-2344	12	15	,	,	PUNCT
cana-2344	12	16	sentiment	sentiment	NOUN
cana-2344	12	17	lexicons	lexicon	NOUN
cana-2344	12	18	,	,	PUNCT
cana-2344	12	19	adaptive	adaptive	ADJ
cana-2344	12	20	feedback	feedback	NOUN
cana-2344	12	21	,	,	PUNCT
cana-2344	12	22	machine	machine	NOUN
cana-2344	12	23	learning	learning	NOUN
cana-2344	12	24	,	,	PUNCT
cana-2344	12	25	sentiment	sentiment	NOUN
cana-2344	12	26	classification	classification	NOUN
cana-2344	12	27	1	1	NUM
cana-2344	12	28	.	.	PUNCT
cana-2344	13	1	introduction	introduction	NOUN
cana-2344	13	2	sentiment	sentiment	NOUN
cana-2344	13	3	analysis	analysis	NOUN
cana-2344	13	4	helps	help	VERB
cana-2344	13	5	to	to	PART
cana-2344	13	6	understand	understand	VERB
cana-2344	13	7	opinions	opinion	NOUN
cana-2344	13	8	in	in	ADP
cana-2344	13	9	texts	text	NOUN
cana-2344	13	10	like	like	ADP
cana-2344	13	11	reviews	review	NOUN
cana-2344	13	12	and	and	CCONJ
cana-2344	13	13	social	social	ADJ
cana-2344	13	14	media	medium	NOUN
cana-2344	13	15	posts	post	NOUN
cana-2344	13	16	.	.	PUNCT
cana-2344	14	1	traditional	traditional	ADJ
cana-2344	14	2	sentiment	sentiment	NOUN
cana-2344	14	3	analysis	analysis	NOUN
cana-2344	14	4	uses	use	VERB
cana-2344	14	5	deep	deep	ADJ
cana-2344	14	6	learning	learning	NOUN
cana-2344	14	7	,	,	PUNCT
cana-2344	14	8	which	which	PRON
cana-2344	14	9	often	often	ADV
cana-2344	14	10	needs	need	VERB
cana-2344	14	11	heavy	heavy	ADJ
cana-2344	14	12	computation	computation	NOUN
cana-2344	14	13	and	and	CCONJ
cana-2344	14	14	lacks	lack	VERB
cana-2344	14	15	transparency	transparency	NOUN
cana-2344	14	16	.	.	PUNCT
cana-2344	15	1	lexicon	lexicon	NOUN
cana-2344	15	2	-	-	PUNCT
cana-2344	15	3	based	base	VERB
cana-2344	15	4	methods	method	NOUN
cana-2344	15	5	,	,	PUNCT
cana-2344	15	6	however	however	ADV
cana-2344	15	7	,	,	PUNCT
cana-2344	15	8	are	be	AUX
cana-2344	15	9	simpler	simple	ADJ
cana-2344	15	10	and	and	CCONJ
cana-2344	15	11	easier	easy	ADJ
cana-2344	15	12	to	to	PART
cana-2344	15	13	understand	understand	VERB
cana-2344	15	14	because	because	SCONJ
cana-2344	15	15	they	they	PRON
cana-2344	15	16	use	use	VERB
cana-2344	15	17	predefined	predefine	VERB
cana-2344	15	18	word	word	NOUN
cana-2344	15	19	dictionaries	dictionary	NOUN
cana-2344	15	20	to	to	PART
cana-2344	15	21	identify	identify	VERB
cana-2344	15	22	emotions	emotion	NOUN
cana-2344	15	23	.	.	PUNCT
cana-2344	16	1	these	these	DET
cana-2344	16	2	methods	method	NOUN
cana-2344	16	3	,	,	PUNCT
cana-2344	16	4	like	like	ADP
cana-2344	16	5	the	the	DET
cana-2344	16	6	so	so	ADV
cana-2344	16	7	-	-	PUNCT
cana-2344	16	8	cal	cal	NOUN
cana-2344	16	9	approach	approach	NOUN
cana-2344	16	10	,	,	PUNCT
cana-2344	16	11	perform	perform	VERB
cana-2344	16	12	well	well	ADV
cana-2344	16	13	in	in	ADP
cana-2344	16	14	some	some	DET
cana-2344	16	15	datasets	dataset	NOUN
cana-2344	16	16	and	and	CCONJ
cana-2344	16	17	show	show	VERB
cana-2344	16	18	that	that	SCONJ
cana-2344	16	19	lexicon	lexicon	NOUN
cana-2344	16	20	-	-	PUNCT
cana-2344	16	21	based	base	VERB
cana-2344	16	22	sentiment	sentiment	NOUN
cana-2344	16	23	analysis	analysis	NOUN
cana-2344	16	24	can	can	AUX
cana-2344	16	25	work	work	VERB
cana-2344	16	26	well	well	ADV
cana-2344	16	27	in	in	ADP
cana-2344	16	28	specific	specific	ADJ
cana-2344	16	29	contexts	context	NOUN
cana-2344	16	30	[	[	X
cana-2344	16	31	1	1	NUM
cana-2344	16	32	]	]	PUNCT
cana-2344	16	33	.	.	PUNCT
cana-2344	17	1	in	in	ADP
cana-2344	17	2	arabic	arabic	ADJ
cana-2344	17	3	texts	text	NOUN
cana-2344	17	4	,	,	PUNCT
cana-2344	17	5	frameworks	framework	NOUN
cana-2344	17	6	like	like	ADP
cana-2344	17	7	lsanarte	lsanarte	NOUN
cana-2344	17	8	use	use	VERB
cana-2344	17	9	advanced	advanced	ADJ
cana-2344	17	10	lexicons	lexicon	NOUN
cana-2344	17	11	and	and	CCONJ
cana-2344	17	12	lemmatization	lemmatization	NOUN
cana-2344	17	13	techniques	technique	NOUN
cana-2344	17	14	to	to	PART
cana-2344	17	15	achieve	achieve	VERB
cana-2344	17	16	high	high	ADJ
cana-2344	17	17	accuracy	accuracy	NOUN
cana-2344	17	18	,	,	PUNCT
cana-2344	17	19	highlighting	highlight	VERB
cana-2344	17	20	the	the	DET
cana-2344	17	21	adaptability	adaptability	NOUN
cana-2344	17	22	of	of	ADP
cana-2344	17	23	lexicon	lexicon	NOUN
cana-2344	17	24	-	-	PUNCT
cana-2344	17	25	based	base	VERB
cana-2344	17	26	approaches	approach	NOUN
cana-2344	17	27	in	in	ADP
cana-2344	17	28	nonenglish	nonenglish	ADJ
cana-2344	17	29	languages	language	NOUN
cana-2344	17	30	[	[	X
cana-2344	17	31	2	2	NUM
cana-2344	17	32	]	]	PUNCT
cana-2344	17	33	.	.	PUNCT
cana-2344	18	1	however	however	ADV
cana-2344	18	2	,	,	PUNCT
cana-2344	18	3	lexicon	lexicon	NOUN
cana-2344	18	4	-	-	PUNCT
cana-2344	18	5	based	base	VERB
cana-2344	18	6	methods	method	NOUN
cana-2344	18	7	struggle	struggle	VERB
cana-2344	18	8	with	with	ADP
cana-2344	18	9	complex	complex	ADJ
cana-2344	18	10	language	language	NOUN
cana-2344	18	11	patterns	pattern	NOUN
cana-2344	18	12	and	and	CCONJ
cana-2344	18	13	dynamic	dynamic	ADJ
cana-2344	18	14	data	datum	NOUN
cana-2344	18	15	.	.	PUNCT
cana-2344	19	1	to	to	PART
cana-2344	19	2	improve	improve	VERB
cana-2344	19	3	these	these	DET
cana-2344	19	4	methods	method	NOUN
cana-2344	19	5	,	,	PUNCT
cana-2344	19	6	feature	feature	NOUN
cana-2344	19	7	optimization	optimization	NOUN
cana-2344	19	8	techniques	technique	NOUN
cana-2344	19	9	are	be	AUX
cana-2344	19	10	combined	combine	VERB
cana-2344	19	11	with	with	ADP
cana-2344	19	12	lexicon	lexicon	NOUN
cana-2344	19	13	-	-	PUNCT
cana-2344	19	14	based	base	VERB
cana-2344	19	15	sentiment	sentiment	NOUN
cana-2344	19	16	analysis	analysis	NOUN
cana-2344	19	17	.	.	PUNCT
cana-2344	20	1	nonlinear	nonlinear	ADJ
cana-2344	20	2	feature	feature	NOUN
cana-2344	20	3	optimization	optimization	NOUN
cana-2344	20	4	,	,	PUNCT
cana-2344	20	5	such	such	ADJ
cana-2344	20	6	as	as	ADP
cana-2344	20	7	hybrid	hybrid	ADJ
cana-2344	20	8	multi	multi	ADJ
cana-2344	20	9	-	-	ADJ
cana-2344	20	10	objective	objective	ADJ
cana-2344	20	11	optimization	optimization	NOUN
cana-2344	20	12	(	(	PUNCT
cana-2344	20	13	hmo	hmo	NOUN
cana-2344	20	14	)	)	PUNCT
cana-2344	20	15	combining	combine	VERB
cana-2344	20	16	particle	particle	NOUN
cana-2344	20	17	swarm	swarm	NOUN
cana-2344	20	18	optimization	optimization	NOUN
cana-2344	20	19	(	(	PUNCT
cana-2344	20	20	pso	pso	NOUN
cana-2344	20	21	)	)	PUNCT
cana-2344	20	22	and	and	CCONJ
cana-2344	20	23	krill	krill	NOUN
cana-2344	20	24	herd	herd	ADJ
cana-2344	20	25	algorithm	algorithm	NOUN
cana-2344	20	26	(	(	PUNCT
cana-2344	20	27	kha	kha	PROPN
cana-2344	20	28	)	)	PUNCT
cana-2344	20	29	,	,	PUNCT
cana-2344	20	30	improves	improve	VERB
cana-2344	20	31	feature	feature	NOUN
cana-2344	20	32	selection	selection	NOUN
cana-2344	20	33	and	and	CCONJ
cana-2344	20	34	boosts	boost	VERB
cana-2344	20	35	precision	precision	NOUN
cana-2344	20	36	and	and	CCONJ
cana-2344	20	37	recall	recall	VERB
cana-2344	20	38	[	[	X
cana-2344	20	39	3	3	NUM
cana-2344	20	40	]	]	PUNCT
cana-2344	20	41	.	.	PUNCT
cana-2344	21	1	binary	binary	ADJ
cana-2344	21	2	particle	particle	NOUN
cana-2344	21	3	swarm	swarm	NOUN
cana-2344	21	4	optimization	optimization	NOUN
cana-2344	21	5	(	(	PUNCT
cana-2344	21	6	bpso	bpso	NOUN
cana-2344	21	7	)	)	PUNCT
cana-2344	21	8	also	also	ADV
cana-2344	21	9	enhances	enhance	VERB
cana-2344	21	10	sentiment	sentiment	NOUN
cana-2344	21	11	classification	classification	NOUN
cana-2344	21	12	by	by	ADP
cana-2344	21	13	refining	refine	VERB
cana-2344	21	14	the	the	DET
cana-2344	21	15	set	set	NOUN
cana-2344	21	16	of	of	ADP
cana-2344	21	17	features	feature	NOUN
cana-2344	21	18	used	use	VERB
cana-2344	21	19	in	in	ADP
cana-2344	21	20	machine	machine	NOUN
cana-2344	21	21	learning	learning	NOUN
cana-2344	21	22	models	model	NOUN
cana-2344	21	23	[	[	X
cana-2344	21	24	4	4	NUM
cana-2344	21	25	]	]	PUNCT
cana-2344	21	26	.	.	PUNCT
cana-2344	22	1	merging	merge	VERB
cana-2344	22	2	lexicon	lexicon	NOUN
cana-2344	22	3	-	-	PUNCT
cana-2344	22	4	based	base	VERB
cana-2344	22	5	methods	method	NOUN
cana-2344	22	6	with	with	ADP
cana-2344	22	7	machine	machine	NOUN
cana-2344	22	8	learning	learning	NOUN
cana-2344	22	9	can	can	AUX
cana-2344	22	10	boost	boost	VERB
cana-2344	22	11	both	both	PRON
cana-2344	22	12	interpretability	interpretability	NOUN
cana-2344	22	13	and	and	CCONJ
cana-2344	22	14	predictive	predictive	ADJ
cana-2344	22	15	power	power	NOUN
cana-2344	22	16	.	.	PUNCT
cana-2344	23	1	the	the	DET
cana-2344	23	2	mcsnnla	mcsnnla	NOUN
cana-2344	23	3	model	model	NOUN
cana-2344	23	4	uses	use	VERB
cana-2344	23	5	lexicon	lexicon	NOUN
cana-2344	23	6	-	-	PUNCT
cana-2344	23	7	based	base	VERB
cana-2344	23	8	padding	padding	NOUN
cana-2344	23	9	and	and	CCONJ
cana-2344	23	10	attention	attention	NOUN
cana-2344	23	11	within	within	ADP
cana-2344	23	12	deep	deep	ADJ
cana-2344	23	13	learning	learning	NOUN
cana-2344	23	14	to	to	ADP
cana-2344	23	15	communications	communication	NOUN
cana-2344	23	16	on	on	ADP
cana-2344	23	17	applied	apply	VERB
cana-2344	23	18	nonlinear	nonlinear	ADJ
cana-2344	23	19	analysis	analysis	NOUN
cana-2344	23	20	issn	issn	NOUN
cana-2344	23	21	:	:	PUNCT
cana-2344	23	22	1074	1074	NUM
cana-2344	23	23	-	-	PUNCT
cana-2344	23	24	133x	133x	NUM
cana-2344	23	25	vol	vol	NOUN
cana-2344	23	26	32	32	NUM
cana-2344	23	27	no	no	NOUN
cana-2344	23	28	.	.	PUNCT
cana-2344	24	1	1s	1s	NUM
cana-2344	24	2	(	(	PUNCT
cana-2344	24	3	2025	2025	NUM
cana-2344	24	4	)	)	PUNCT
cana-2344	24	5	558	558	NUM
cana-2344	24	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2344	24	7	enhance	enhance	VERB
cana-2344	24	8	feature	feature	NOUN
cana-2344	24	9	extraction	extraction	NOUN
cana-2344	24	10	and	and	CCONJ
cana-2344	24	11	sentiment	sentiment	NOUN
cana-2344	24	12	classification	classification	NOUN
cana-2344	24	13	[	[	X
cana-2344	24	14	5	5	NUM
cana-2344	24	15	]	]	PUNCT
cana-2344	24	16	.	.	PUNCT
cana-2344	25	1	similarly	similarly	ADV
cana-2344	25	2	,	,	PUNCT
cana-2344	25	3	combining	combine	VERB
cana-2344	25	4	the	the	DET
cana-2344	25	5	vader	vader	NOUN
cana-2344	25	6	lexicon	lexicon	NOUN
cana-2344	25	7	with	with	ADP
cana-2344	25	8	svm	svm	PROPN
cana-2344	25	9	and	and	CCONJ
cana-2344	25	10	tf	tf	PROPN
cana-2344	25	11	-	-	PUNCT
cana-2344	25	12	idf	idf	PROPN
cana-2344	25	13	helps	help	VERB
cana-2344	25	14	in	in	ADP
cana-2344	25	15	improving	improve	VERB
cana-2344	25	16	accuracy	accuracy	NOUN
cana-2344	25	17	,	,	PUNCT
cana-2344	25	18	especially	especially	ADV
cana-2344	25	19	for	for	ADP
cana-2344	25	20	data	datum	NOUN
cana-2344	25	21	without	without	ADP
cana-2344	25	22	labels	label	NOUN
cana-2344	25	23	[	[	X
cana-2344	25	24	6	6	NUM
cana-2344	25	25	]	]	PUNCT
cana-2344	25	26	.	.	PUNCT
cana-2344	26	1	hybrid	hybrid	ADJ
cana-2344	26	2	models	model	NOUN
cana-2344	26	3	and	and	CCONJ
cana-2344	26	4	ensemble	ensemble	ADJ
cana-2344	26	5	methods	method	NOUN
cana-2344	26	6	further	far	ADV
cana-2344	26	7	enhance	enhance	VERB
cana-2344	26	8	sentiment	sentiment	NOUN
cana-2344	26	9	analysis	analysis	NOUN
cana-2344	26	10	by	by	ADP
cana-2344	26	11	blending	blend	VERB
cana-2344	26	12	different	different	ADJ
cana-2344	26	13	strengths	strength	NOUN
cana-2344	26	14	.	.	PUNCT
cana-2344	27	1	for	for	ADP
cana-2344	27	2	example	example	NOUN
cana-2344	27	3	,	,	PUNCT
cana-2344	27	4	black	black	ADJ
cana-2344	27	5	widow	widow	NOUN
cana-2344	27	6	optimization	optimization	NOUN
cana-2344	27	7	(	(	PUNCT
cana-2344	27	8	bwo	bwo	NOUN
cana-2344	27	9	)	)	PUNCT
cana-2344	27	10	reduces	reduce	VERB
cana-2344	27	11	feature	feature	NOUN
cana-2344	27	12	size	size	NOUN
cana-2344	27	13	without	without	ADP
cana-2344	27	14	losing	lose	VERB
cana-2344	27	15	accuracy	accuracy	NOUN
cana-2344	27	16	,	,	PUNCT
cana-2344	27	17	demonstrating	demonstrate	VERB
cana-2344	27	18	the	the	DET
cana-2344	27	19	value	value	NOUN
cana-2344	27	20	of	of	ADP
cana-2344	27	21	hybrid	hybrid	ADJ
cana-2344	27	22	approaches	approach	NOUN
cana-2344	27	23	[	[	X
cana-2344	27	24	7	7	NUM
cana-2344	27	25	]	]	PUNCT
cana-2344	27	26	.	.	PUNCT
cana-2344	28	1	ensemble	ensemble	ADJ
cana-2344	28	2	models	model	NOUN
cana-2344	28	3	tailored	tailor	VERB
cana-2344	28	4	for	for	ADP
cana-2344	28	5	indian	indian	ADJ
cana-2344	28	6	languages	language	NOUN
cana-2344	28	7	show	show	VERB
cana-2344	28	8	that	that	SCONJ
cana-2344	28	9	combining	combine	VERB
cana-2344	28	10	multiple	multiple	ADJ
cana-2344	28	11	techniques	technique	NOUN
cana-2344	28	12	can	can	AUX
cana-2344	28	13	improve	improve	VERB
cana-2344	28	14	sentiment	sentiment	NOUN
cana-2344	28	15	analysis	analysis	NOUN
cana-2344	28	16	in	in	ADP
cana-2344	28	17	resourcelimited	resourcelimited	ADJ
cana-2344	28	18	contexts	context	NOUN
cana-2344	29	1	[	[	X
cana-2344	29	2	8	8	NUM
cana-2344	29	3	]	]	PUNCT
cana-2344	29	4	.	.	PUNCT
cana-2344	30	1	current	current	ADJ
cana-2344	30	2	methods	method	NOUN
cana-2344	30	3	often	often	ADV
cana-2344	30	4	fail	fail	VERB
cana-2344	30	5	to	to	PART
cana-2344	30	6	balance	balance	VERB
cana-2344	30	7	accuracy	accuracy	NOUN
cana-2344	30	8	,	,	PUNCT
cana-2344	30	9	adaptability	adaptability	NOUN
cana-2344	30	10	,	,	PUNCT
cana-2344	30	11	and	and	CCONJ
cana-2344	30	12	simplicity	simplicity	NOUN
cana-2344	30	13	.	.	PUNCT
cana-2344	31	1	lexicon	lexicon	NOUN
cana-2344	31	2	-	-	PUNCT
cana-2344	31	3	based	base	VERB
cana-2344	31	4	approaches	approach	NOUN
cana-2344	31	5	are	be	AUX
cana-2344	31	6	transparent	transparent	ADJ
cana-2344	31	7	but	but	CCONJ
cana-2344	31	8	struggle	struggle	VERB
cana-2344	31	9	with	with	ADP
cana-2344	31	10	complex	complex	ADJ
cana-2344	31	11	data	datum	NOUN
cana-2344	31	12	,	,	PUNCT
cana-2344	31	13	while	while	SCONJ
cana-2344	31	14	deep	deep	ADJ
cana-2344	31	15	learning	learning	NOUN
cana-2344	31	16	models	model	NOUN
cana-2344	31	17	are	be	AUX
cana-2344	31	18	powerful	powerful	ADJ
cana-2344	31	19	but	but	CCONJ
cana-2344	31	20	hard	hard	ADJ
cana-2344	31	21	to	to	PART
cana-2344	31	22	interpret	interpret	VERB
cana-2344	31	23	.	.	PUNCT
cana-2344	32	1	there	there	PRON
cana-2344	32	2	is	be	VERB
cana-2344	32	3	a	a	DET
cana-2344	32	4	need	need	NOUN
cana-2344	32	5	for	for	ADP
cana-2344	32	6	models	model	NOUN
cana-2344	32	7	that	that	PRON
cana-2344	32	8	combine	combine	VERB
cana-2344	32	9	the	the	DET
cana-2344	32	10	ease	ease	NOUN
cana-2344	32	11	of	of	ADP
cana-2344	32	12	lexicon	lexicon	NOUN
cana-2344	32	13	-	-	PUNCT
cana-2344	32	14	based	base	VERB
cana-2344	32	15	methods	method	NOUN
cana-2344	32	16	with	with	ADP
cana-2344	32	17	advanced	advanced	ADJ
cana-2344	32	18	optimization	optimization	NOUN
cana-2344	32	19	to	to	PART
cana-2344	32	20	handle	handle	VERB
cana-2344	32	21	complex	complex	ADJ
cana-2344	32	22	language	language	NOUN
cana-2344	32	23	and	and	CCONJ
cana-2344	32	24	varied	varied	ADJ
cana-2344	32	25	data	datum	NOUN
cana-2344	32	26	efficiently	efficiently	ADV
cana-2344	32	27	.	.	PUNCT
cana-2344	33	1	this	this	DET
cana-2344	33	2	research	research	NOUN
cana-2344	33	3	introduces	introduce	VERB
cana-2344	33	4	the	the	DET
cana-2344	33	5	dynamic	dynamic	ADJ
cana-2344	33	6	lexicon	lexicon	NOUN
cana-2344	33	7	-	-	PUNCT
cana-2344	33	8	based	base	VERB
cana-2344	33	9	sentiment	sentiment	NOUN
cana-2344	33	10	analysis	analysis	NOUN
cana-2344	33	11	(	(	PUNCT
cana-2344	33	12	dlsa	dlsa	ADJ
cana-2344	33	13	)	)	PUNCT
cana-2344	33	14	architecture	architecture	NOUN
cana-2344	33	15	to	to	PART
cana-2344	33	16	fill	fill	VERB
cana-2344	33	17	this	this	DET
cana-2344	33	18	gap	gap	NOUN
cana-2344	33	19	by	by	ADP
cana-2344	33	20	integrating	integrate	VERB
cana-2344	33	21	advanced	advanced	ADJ
cana-2344	33	22	nonlinear	nonlinear	ADJ
cana-2344	33	23	feature	feature	NOUN
cana-2344	33	24	optimization	optimization	NOUN
cana-2344	33	25	,	,	PUNCT
cana-2344	33	26	aiming	aim	VERB
cana-2344	33	27	to	to	PART
cana-2344	33	28	build	build	VERB
cana-2344	33	29	a	a	DET
cana-2344	33	30	sentiment	sentiment	NOUN
cana-2344	33	31	analysis	analysis	NOUN
cana-2344	33	32	model	model	NOUN
cana-2344	33	33	that	that	PRON
cana-2344	33	34	is	be	AUX
cana-2344	33	35	accurate	accurate	ADJ
cana-2344	33	36	,	,	PUNCT
cana-2344	33	37	adaptable	adaptable	ADJ
cana-2344	33	38	,	,	PUNCT
cana-2344	33	39	and	and	CCONJ
cana-2344	33	40	efficient	efficient	ADJ
cana-2344	33	41	.	.	PUNCT
cana-2344	34	1	the	the	DET
cana-2344	34	2	study	study	NOUN
cana-2344	34	3	aims	aim	VERB
cana-2344	34	4	to	to	PART
cana-2344	34	5	:	:	PUNCT
cana-2344	34	6	•	•	ADP
cana-2344	34	7	develop	develop	VERB
cana-2344	34	8	a	a	DET
cana-2344	34	9	dynamic	dynamic	ADJ
cana-2344	34	10	lexicon	lexicon	NOUN
cana-2344	34	11	-	-	PUNCT
cana-2344	34	12	based	base	VERB
cana-2344	34	13	sentiment	sentiment	NOUN
cana-2344	34	14	analysis	analysis	NOUN
cana-2344	34	15	model	model	NOUN
cana-2344	34	16	that	that	PRON
cana-2344	34	17	combines	combine	VERB
cana-2344	34	18	lexicon	lexicon	NOUN
cana-2344	34	19	-	-	PUNCT
cana-2344	34	20	based	base	VERB
cana-2344	34	21	methods	method	NOUN
cana-2344	34	22	with	with	ADP
cana-2344	34	23	nonlinear	nonlinear	ADJ
cana-2344	34	24	feature	feature	NOUN
cana-2344	34	25	optimization	optimization	NOUN
cana-2344	34	26	.	.	PUNCT
cana-2344	35	1	•	•	NUM
cana-2344	35	2	enhance	enhance	NOUN
cana-2344	35	3	feature	feature	NOUN
cana-2344	35	4	selection	selection	NOUN
cana-2344	35	5	using	use	VERB
cana-2344	35	6	genetic	genetic	ADJ
cana-2344	35	7	algorithms	algorithm	NOUN
cana-2344	35	8	and	and	CCONJ
cana-2344	35	9	feedback	feedback	NOUN
cana-2344	35	10	loops	loop	NOUN
cana-2344	35	11	to	to	PART
cana-2344	35	12	adapt	adapt	VERB
cana-2344	35	13	dynamically	dynamically	ADV
cana-2344	35	14	to	to	ADP
cana-2344	35	15	data	data	NOUN
cana-2344	35	16	changes	change	NOUN
cana-2344	35	17	.	.	PUNCT
cana-2344	36	1	•	•	NUM
cana-2344	36	2	compare	compare	VERB
cana-2344	36	3	the	the	DET
cana-2344	36	4	performance	performance	NOUN
cana-2344	36	5	of	of	ADP
cana-2344	36	6	dlsa	dlsa	NOUN
cana-2344	36	7	against	against	ADP
cana-2344	36	8	traditional	traditional	ADJ
cana-2344	36	9	models	model	NOUN
cana-2344	36	10	,	,	PUNCT
cana-2344	36	11	focusing	focus	VERB
cana-2344	36	12	on	on	ADP
cana-2344	36	13	accuracy	accuracy	NOUN
cana-2344	36	14	and	and	CCONJ
cana-2344	36	15	scalability	scalability	NOUN
cana-2344	36	16	.	.	PUNCT
cana-2344	37	1	the	the	DET
cana-2344	37	2	proposed	propose	VERB
cana-2344	37	3	dlsa	dlsa	ADJ
cana-2344	37	4	architecture	architecture	NOUN
cana-2344	37	5	brings	bring	VERB
cana-2344	37	6	together	together	ADV
cana-2344	37	7	the	the	DET
cana-2344	37	8	strengths	strength	NOUN
cana-2344	37	9	of	of	ADP
cana-2344	37	10	lexicon	lexicon	NOUN
cana-2344	37	11	-	-	PUNCT
cana-2344	37	12	based	base	VERB
cana-2344	37	13	sentiment	sentiment	NOUN
cana-2344	37	14	analysis	analysis	NOUN
cana-2344	37	15	and	and	CCONJ
cana-2344	37	16	nonlinear	nonlinear	ADJ
cana-2344	37	17	optimization	optimization	NOUN
cana-2344	37	18	.	.	PUNCT
cana-2344	38	1	by	by	ADP
cana-2344	38	2	refining	refine	VERB
cana-2344	38	3	features	feature	NOUN
cana-2344	38	4	with	with	ADP
cana-2344	38	5	adaptive	adaptive	ADJ
cana-2344	38	6	algorithms	algorithm	NOUN
cana-2344	38	7	,	,	PUNCT
cana-2344	38	8	the	the	DET
cana-2344	38	9	model	model	NOUN
cana-2344	38	10	boosts	boost	VERB
cana-2344	38	11	accuracy	accuracy	NOUN
cana-2344	38	12	and	and	CCONJ
cana-2344	38	13	efficiency	efficiency	NOUN
cana-2344	38	14	.	.	PUNCT
cana-2344	39	1	it	it	PRON
cana-2344	39	2	is	be	AUX
cana-2344	39	3	designed	design	VERB
cana-2344	39	4	to	to	PART
cana-2344	39	5	work	work	VERB
cana-2344	39	6	well	well	ADV
cana-2344	39	7	across	across	ADP
cana-2344	39	8	various	various	ADJ
cana-2344	39	9	texts	text	NOUN
cana-2344	39	10	and	and	CCONJ
cana-2344	39	11	contexts	contexts	NOUN
cana-2344	39	12	,	,	PUNCT
cana-2344	39	13	making	make	VERB
cana-2344	39	14	it	it	PRON
cana-2344	39	15	useful	useful	ADJ
cana-2344	39	16	in	in	ADP
cana-2344	39	17	areas	area	NOUN
cana-2344	39	18	like	like	ADP
cana-2344	39	19	social	social	ADJ
cana-2344	39	20	media	medium	NOUN
cana-2344	39	21	monitoring	monitoring	NOUN
cana-2344	39	22	,	,	PUNCT
cana-2344	39	23	customer	customer	NOUN
cana-2344	39	24	feedback	feedback	NOUN
cana-2344	39	25	,	,	PUNCT
cana-2344	39	26	and	and	CCONJ
cana-2344	39	27	opinion	opinion	NOUN
cana-2344	39	28	mining	mining	NOUN
cana-2344	39	29	.	.	PUNCT
cana-2344	40	1	this	this	DET
cana-2344	40	2	approach	approach	NOUN
cana-2344	40	3	improves	improve	VERB
cana-2344	40	4	sentiment	sentiment	NOUN
cana-2344	40	5	analysis	analysis	NOUN
cana-2344	40	6	by	by	ADP
cana-2344	40	7	providing	provide	VERB
cana-2344	40	8	a	a	DET
cana-2344	40	9	model	model	NOUN
cana-2344	40	10	that	that	PRON
cana-2344	40	11	adjusts	adjust	VERB
cana-2344	40	12	to	to	ADP
cana-2344	40	13	data	datum	NOUN
cana-2344	40	14	,	,	PUNCT
cana-2344	40	15	ensuring	ensure	VERB
cana-2344	40	16	precise	precise	ADJ
cana-2344	40	17	and	and	CCONJ
cana-2344	40	18	reliable	reliable	ADJ
cana-2344	40	19	results	result	NOUN
cana-2344	40	20	.	.	PUNCT
cana-2344	41	1	2	2	X
cana-2344	41	2	.	.	NUM
cana-2344	41	3	related	relate	VERB
cana-2344	41	4	work	work	NOUN
cana-2344	41	5	sentiment	sentiment	NOUN
cana-2344	41	6	analysis	analysis	NOUN
cana-2344	41	7	studies	study	NOUN
cana-2344	41	8	feelings	feeling	NOUN
cana-2344	41	9	expressed	express	VERB
cana-2344	41	10	in	in	ADP
cana-2344	41	11	text	text	NOUN
cana-2344	41	12	,	,	PUNCT
cana-2344	41	13	often	often	ADV
cana-2344	41	14	using	use	VERB
cana-2344	41	15	methods	method	NOUN
cana-2344	41	16	that	that	PRON
cana-2344	41	17	mix	mix	VERB
cana-2344	41	18	lexicons	lexicon	NOUN
cana-2344	41	19	,	,	PUNCT
cana-2344	41	20	machine	machine	NOUN
cana-2344	41	21	learning	learning	NOUN
cana-2344	41	22	,	,	PUNCT
cana-2344	41	23	and	and	CCONJ
cana-2344	41	24	optimization	optimization	NOUN
cana-2344	41	25	techniques	technique	NOUN
cana-2344	41	26	.	.	PUNCT
cana-2344	42	1	different	different	ADJ
cana-2344	42	2	studies	study	NOUN
cana-2344	42	3	show	show	VERB
cana-2344	42	4	how	how	SCONJ
cana-2344	42	5	combining	combine	VERB
cana-2344	42	6	these	these	DET
cana-2344	42	7	methods	method	NOUN
cana-2344	42	8	can	can	AUX
cana-2344	42	9	improve	improve	VERB
cana-2344	42	10	how	how	SCONJ
cana-2344	42	11	well	well	ADV
cana-2344	42	12	sentiment	sentiment	NOUN
cana-2344	42	13	analysis	analysis	NOUN
cana-2344	42	14	works	work	NOUN
cana-2344	42	15	.	.	PUNCT
cana-2344	43	1	the	the	DET
cana-2344	43	2	related	relate	VERB
cana-2344	43	3	works	work	NOUN
cana-2344	43	4	fall	fall	VERB
cana-2344	43	5	into	into	ADP
cana-2344	43	6	three	three	NUM
cana-2344	43	7	groups	group	NOUN
cana-2344	43	8	:	:	PUNCT
cana-2344	43	9	lexicon	lexicon	NOUN
cana-2344	43	10	-	-	PUNCT
cana-2344	43	11	based	base	VERB
cana-2344	43	12	methods	method	NOUN
cana-2344	43	13	,	,	PUNCT
cana-2344	43	14	hybrids	hybrid	NOUN
cana-2344	43	15	that	that	PRON
cana-2344	43	16	mix	mix	VERB
cana-2344	43	17	lexicons	lexicon	NOUN
cana-2344	43	18	with	with	ADP
cana-2344	43	19	machine	machine	NOUN
cana-2344	43	20	learning	learning	NOUN
cana-2344	43	21	,	,	PUNCT
cana-2344	43	22	and	and	CCONJ
cana-2344	43	23	optimization	optimization	NOUN
cana-2344	43	24	techniques	technique	NOUN
cana-2344	43	25	for	for	ADP
cana-2344	43	26	picking	pick	VERB
cana-2344	43	27	the	the	DET
cana-2344	43	28	best	good	ADJ
cana-2344	43	29	features	feature	NOUN
cana-2344	43	30	.	.	PUNCT
cana-2344	44	1	lexicon	lexicon	NOUN
cana-2344	44	2	-	-	PUNCT
cana-2344	44	3	based	base	VERB
cana-2344	44	4	sentiment	sentiment	NOUN
cana-2344	44	5	analysis	analysis	NOUN
cana-2344	44	6	uses	use	VERB
cana-2344	44	7	word	word	NOUN
cana-2344	44	8	lists	list	NOUN
cana-2344	44	9	with	with	ADP
cana-2344	44	10	labeled	label	VERB
cana-2344	44	11	sentiments	sentiment	NOUN
cana-2344	44	12	,	,	PUNCT
cana-2344	44	13	like	like	ADP
cana-2344	44	14	positive	positive	ADJ
cana-2344	44	15	or	or	CCONJ
cana-2344	44	16	negative	negative	ADJ
cana-2344	44	17	,	,	PUNCT
cana-2344	44	18	to	to	PART
cana-2344	44	19	understand	understand	VERB
cana-2344	44	20	text	text	NOUN
cana-2344	44	21	.	.	PUNCT
cana-2344	45	1	marutho	marutho	PROPN
cana-2344	45	2	et	et	PROPN
cana-2344	45	3	al	al	PROPN
cana-2344	45	4	.	.	PUNCT
cana-2344	46	1	[	[	X
cana-2344	46	2	6	6	NUM
cana-2344	46	3	]	]	PUNCT
cana-2344	46	4	improved	improved	ADJ
cana-2344	46	5	sentiment	sentiment	NOUN
cana-2344	46	6	analysis	analysis	NOUN
cana-2344	46	7	by	by	ADP
cana-2344	46	8	combining	combine	VERB
cana-2344	46	9	the	the	DET
cana-2344	46	10	vader	vader	NOUN
cana-2344	46	11	lexicon	lexicon	NOUN
cana-2344	46	12	with	with	ADP
cana-2344	46	13	tf	tf	PROPN
cana-2344	46	14	-	-	PUNCT
cana-2344	46	15	idf	idf	PROPN
cana-2344	46	16	and	and	CCONJ
cana-2344	46	17	svm	svm	PROPN
cana-2344	46	18	,	,	PUNCT
cana-2344	46	19	showing	show	VERB
cana-2344	46	20	that	that	SCONJ
cana-2344	46	21	adding	add	VERB
cana-2344	46	22	these	these	DET
cana-2344	46	23	lexicons	lexicon	NOUN
cana-2344	46	24	helps	help	VERB
cana-2344	46	25	when	when	SCONJ
cana-2344	46	26	data	datum	NOUN
cana-2344	46	27	lacks	lack	VERB
cana-2344	46	28	labels	label	NOUN
cana-2344	46	29	.	.	PUNCT
cana-2344	47	1	huang	huang	PROPN
cana-2344	47	2	et	et	PROPN
cana-2344	47	3	al	al	PROPN
cana-2344	47	4	.	.	PUNCT
cana-2344	48	1	[	[	X
cana-2344	48	2	9	9	NUM
cana-2344	48	3	]	]	PUNCT
cana-2344	48	4	developed	develop	VERB
cana-2344	48	5	a	a	DET
cana-2344	48	6	sentiment	sentiment	NOUN
cana-2344	48	7	convolutional	convolutional	ADJ
cana-2344	48	8	neural	neural	ADJ
cana-2344	48	9	network	network	NOUN
cana-2344	48	10	(	(	PUNCT
cana-2344	48	11	scnn	scnn	PROPN
cana-2344	48	12	)	)	PUNCT
cana-2344	48	13	that	that	PRON
cana-2344	48	14	mixes	mix	VERB
cana-2344	48	15	lexicon	lexicon	ADJ
cana-2344	48	16	features	feature	NOUN
cana-2344	48	17	with	with	ADP
cana-2344	48	18	deep	deep	ADJ
cana-2344	48	19	learning	learning	NOUN
cana-2344	48	20	,	,	PUNCT
cana-2344	48	21	making	make	VERB
cana-2344	48	22	it	it	PRON
cana-2344	48	23	better	well	ADJ
cana-2344	48	24	at	at	ADP
cana-2344	48	25	handling	handle	VERB
cana-2344	48	26	complex	complex	ADJ
cana-2344	48	27	text	text	NOUN
cana-2344	48	28	patterns	pattern	NOUN
cana-2344	48	29	.	.	PUNCT
cana-2344	49	1	this	this	DET
cana-2344	49	2	method	method	NOUN
cana-2344	49	3	balances	balance	VERB
cana-2344	49	4	the	the	DET
cana-2344	49	5	simplicity	simplicity	NOUN
cana-2344	49	6	of	of	ADP
cana-2344	49	7	lexicons	lexicon	NOUN
cana-2344	49	8	with	with	ADP
cana-2344	49	9	the	the	DET
cana-2344	49	10	processing	processing	NOUN
cana-2344	49	11	power	power	NOUN
cana-2344	49	12	of	of	ADP
cana-2344	49	13	deep	deep	ADJ
cana-2344	49	14	models	model	NOUN
cana-2344	49	15	.	.	PUNCT
cana-2344	50	1	communications	communication	NOUN
cana-2344	50	2	on	on	ADP
cana-2344	50	3	applied	apply	VERB
cana-2344	50	4	nonlinear	nonlinear	ADJ
cana-2344	50	5	analysis	analysis	NOUN
cana-2344	50	6	issn	issn	NOUN
cana-2344	50	7	:	:	PUNCT
cana-2344	50	8	1074	1074	NUM
cana-2344	50	9	-	-	PUNCT
cana-2344	50	10	133x	133x	NUM
cana-2344	50	11	vol	vol	NOUN
cana-2344	50	12	32	32	NUM
cana-2344	50	13	no	no	NOUN
cana-2344	50	14	.	.	PUNCT
cana-2344	51	1	1s	1s	NUM
cana-2344	51	2	(	(	PUNCT
cana-2344	51	3	2025	2025	NUM
cana-2344	51	4	)	)	PUNCT
cana-2344	51	5	559	559	NUM
cana-2344	51	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2344	51	7	johnson	johnson	PROPN
cana-2344	51	8	et	et	PROPN
cana-2344	51	9	al	al	PROPN
cana-2344	51	10	.	.	PUNCT
cana-2344	52	1	[	[	X
cana-2344	52	2	1	1	NUM
cana-2344	52	3	]	]	PUNCT
cana-2344	52	4	focused	focus	VERB
cana-2344	52	5	on	on	ADP
cana-2344	52	6	using	use	VERB
cana-2344	52	7	lexicons	lexicon	NOUN
cana-2344	52	8	alongside	alongside	ADP
cana-2344	52	9	machine	machine	NOUN
cana-2344	52	10	learning	learn	VERB
cana-2344	52	11	to	to	PART
cana-2344	52	12	improve	improve	VERB
cana-2344	52	13	accuracy	accuracy	NOUN
cana-2344	52	14	in	in	ADP
cana-2344	52	15	finding	find	VERB
cana-2344	52	16	sentiments	sentiment	NOUN
cana-2344	52	17	.	.	PUNCT
cana-2344	53	1	hamdan	hamdan	PROPN
cana-2344	53	2	et	et	PROPN
cana-2344	53	3	al	al	PROPN
cana-2344	53	4	.	.	PUNCT
cana-2344	54	1	[	[	X
cana-2344	54	2	10	10	NUM
cana-2344	54	3	]	]	PUNCT
cana-2344	54	4	showed	show	VERB
cana-2344	54	5	that	that	SCONJ
cana-2344	54	6	well	well	ADV
cana-2344	54	7	-	-	PUNCT
cana-2344	54	8	made	make	VERB
cana-2344	54	9	lexicon	lexicon	ADJ
cana-2344	54	10	features	feature	NOUN
cana-2344	54	11	boost	boost	VERB
cana-2344	54	12	performance	performance	NOUN
cana-2344	54	13	when	when	SCONJ
cana-2344	54	14	paired	pair	VERB
cana-2344	54	15	with	with	ADP
cana-2344	54	16	classifiers	classifier	NOUN
cana-2344	54	17	.	.	PUNCT
cana-2344	55	1	for	for	ADP
cana-2344	55	2	informal	informal	ADJ
cana-2344	55	3	texts	text	NOUN
cana-2344	55	4	like	like	ADP
cana-2344	55	5	tweets	tweet	NOUN
cana-2344	55	6	,	,	PUNCT
cana-2344	55	7	limboi	limboi	PROPN
cana-2344	55	8	et	et	PROPN
cana-2344	55	9	al	al	PROPN
cana-2344	55	10	.	.	PUNCT
cana-2344	56	1	[	[	X
cana-2344	56	2	11	11	NUM
cana-2344	56	3	]	]	PUNCT
cana-2344	56	4	introduced	introduce	VERB
cana-2344	56	5	advanced	advanced	ADJ
cana-2344	56	6	lexicon	lexicon	NOUN
cana-2344	56	7	-	-	PUNCT
cana-2344	56	8	based	base	VERB
cana-2344	56	9	feature	feature	NOUN
cana-2344	56	10	extraction	extraction	NOUN
cana-2344	56	11	that	that	PRON
cana-2344	56	12	captures	capture	VERB
cana-2344	56	13	the	the	DET
cana-2344	56	14	subtle	subtle	ADJ
cana-2344	56	15	meanings	meaning	NOUN
cana-2344	56	16	in	in	ADP
cana-2344	56	17	short	short	ADJ
cana-2344	56	18	phrases	phrase	NOUN
cana-2344	56	19	.	.	PUNCT
cana-2344	57	1	hybrid	hybrid	ADJ
cana-2344	57	2	approaches	approach	NOUN
cana-2344	57	3	blend	blend	VERB
cana-2344	57	4	lexicons	lexicon	NOUN
cana-2344	57	5	with	with	ADP
cana-2344	57	6	machine	machine	NOUN
cana-2344	57	7	learning	learning	NOUN
cana-2344	57	8	models	model	NOUN
cana-2344	57	9	.	.	PUNCT
cana-2344	58	1	cheng	cheng	PROPN
cana-2344	58	2	et	et	PROPN
cana-2344	58	3	al	al	PROPN
cana-2344	58	4	.	.	PUNCT
cana-2344	59	1	[	[	X
cana-2344	59	2	12	12	NUM
cana-2344	59	3	]	]	PUNCT
cana-2344	59	4	and	and	CCONJ
cana-2344	59	5	zingade	zingade	NOUN
cana-2344	59	6	,	,	PUNCT
cana-2344	59	7	deeplakshmi	deeplakshmi	VERB
cana-2344	59	8	sachin	sachin	PROPN
cana-2344	59	9	et	et	PROPN
cana-2344	59	10	al	al	PROPN
cana-2344	59	11	.	.	PUNCT
cana-2344	60	1	[	[	X
cana-2344	60	2	13	13	NUM
cana-2344	60	3	]	]	SYM
cana-2344	60	4	connected	connected	ADJ
cana-2344	60	5	sentiment	sentiment	NOUN
cana-2344	60	6	analysis	analysis	NOUN
cana-2344	60	7	with	with	ADP
cana-2344	60	8	recommendation	recommendation	NOUN
cana-2344	60	9	engines	engine	NOUN
cana-2344	60	10	,	,	PUNCT
cana-2344	60	11	showing	show	VERB
cana-2344	60	12	that	that	SCONJ
cana-2344	60	13	mixing	mix	VERB
cana-2344	60	14	lexicon	lexicon	ADJ
cana-2344	60	15	data	datum	NOUN
cana-2344	60	16	with	with	ADP
cana-2344	60	17	machine	machine	NOUN
cana-2344	60	18	learning	learning	NOUN
cana-2344	60	19	can	can	AUX
cana-2344	60	20	enhance	enhance	VERB
cana-2344	60	21	system	system	NOUN
cana-2344	60	22	performance	performance	NOUN
cana-2344	60	23	.	.	PUNCT
cana-2344	61	1	this	this	DET
cana-2344	61	2	approach	approach	NOUN
cana-2344	61	3	aligns	align	VERB
cana-2344	61	4	with	with	ADP
cana-2344	61	5	models	model	NOUN
cana-2344	61	6	like	like	ADP
cana-2344	61	7	dlsa	dlsa	NOUN
cana-2344	61	8	,	,	PUNCT
cana-2344	61	9	which	which	PRON
cana-2344	61	10	seek	seek	VERB
cana-2344	61	11	to	to	PART
cana-2344	61	12	improve	improve	VERB
cana-2344	61	13	through	through	ADP
cana-2344	61	14	combined	combine	VERB
cana-2344	61	15	techniques	technique	NOUN
cana-2344	61	16	.	.	PUNCT
cana-2344	62	1	kota	kota	PROPN
cana-2344	62	2	et	et	PROPN
cana-2344	62	3	al	al	PROPN
cana-2344	62	4	.	.	PUNCT
cana-2344	63	1	[	[	X
cana-2344	63	2	5	5	NUM
cana-2344	63	3	]	]	PUNCT
cana-2344	63	4	used	use	VERB
cana-2344	63	5	a	a	DET
cana-2344	63	6	multichannel	multichannel	ADJ
cana-2344	63	7	approach	approach	NOUN
cana-2344	63	8	that	that	PRON
cana-2344	63	9	combines	combine	VERB
cana-2344	63	10	lexicons	lexicon	NOUN
cana-2344	63	11	with	with	ADP
cana-2344	63	12	deep	deep	ADJ
cana-2344	63	13	learning	learning	NOUN
cana-2344	63	14	,	,	PUNCT
cana-2344	63	15	catching	catch	VERB
cana-2344	63	16	different	different	ADJ
cana-2344	63	17	sides	side	NOUN
cana-2344	63	18	of	of	ADP
cana-2344	63	19	text	text	NOUN
cana-2344	63	20	for	for	ADP
cana-2344	63	21	better	well	ADJ
cana-2344	63	22	sentiment	sentiment	NOUN
cana-2344	63	23	classification	classification	NOUN
cana-2344	63	24	.	.	PUNCT
cana-2344	64	1	kumar	kumar	PROPN
cana-2344	64	2	et	et	PROPN
cana-2344	64	3	al	al	PROPN
cana-2344	64	4	.	.	PUNCT
cana-2344	65	1	[	[	X
cana-2344	65	2	14	14	NUM
cana-2344	65	3	]	]	PUNCT
cana-2344	65	4	showed	show	VERB
cana-2344	65	5	that	that	SCONJ
cana-2344	65	6	adding	add	VERB
cana-2344	65	7	feature	feature	NOUN
cana-2344	65	8	selection	selection	NOUN
cana-2344	65	9	techniques	technique	NOUN
cana-2344	65	10	to	to	PART
cana-2344	65	11	lexicon	lexicon	VERB
cana-2344	65	12	-	-	PUNCT
cana-2344	65	13	based	base	VERB
cana-2344	65	14	models	model	NOUN
cana-2344	65	15	helps	help	VERB
cana-2344	65	16	analyze	analyze	VERB
cana-2344	65	17	product	product	NOUN
cana-2344	65	18	reviews	review	NOUN
cana-2344	65	19	more	more	ADV
cana-2344	65	20	accurately	accurately	ADV
cana-2344	65	21	.	.	PUNCT
cana-2344	66	1	mechulam	mechulam	VERB
cana-2344	66	2	et	et	PROPN
cana-2344	66	3	al	al	PROPN
cana-2344	66	4	.	.	PUNCT
cana-2344	67	1	[	[	X
cana-2344	67	2	15	15	NUM
cana-2344	67	3	]	]	PUNCT
cana-2344	67	4	and	and	CCONJ
cana-2344	67	5	machová	machová	NOUN
cana-2344	67	6	,	,	PUNCT
cana-2344	67	7	kristína	kristína	VERB
cana-2344	67	8	et	et	PROPN
cana-2344	67	9	al	al	PROPN
cana-2344	67	10	.	.	PUNCT
cana-2344	68	1	[	[	X
cana-2344	68	2	16	16	NUM
cana-2344	68	3	]	]	PUNCT
cana-2344	68	4	went	go	VERB
cana-2344	68	5	further	far	ADV
cana-2344	68	6	by	by	ADP
cana-2344	68	7	creating	create	VERB
cana-2344	68	8	dynamic	dynamic	ADJ
cana-2344	68	9	lexicons	lexicon	NOUN
cana-2344	68	10	that	that	PRON
cana-2344	68	11	update	update	VERB
cana-2344	68	12	with	with	ADP
cana-2344	68	13	new	new	ADJ
cana-2344	68	14	language	language	NOUN
cana-2344	68	15	,	,	PUNCT
cana-2344	68	16	making	make	VERB
cana-2344	68	17	the	the	DET
cana-2344	68	18	model	model	NOUN
cana-2344	68	19	more	more	ADV
cana-2344	68	20	flexible	flexible	ADJ
cana-2344	68	21	.	.	PUNCT
cana-2344	69	1	optimization	optimization	NOUN
cana-2344	69	2	methods	method	NOUN
cana-2344	69	3	are	be	AUX
cana-2344	69	4	key	key	ADJ
cana-2344	69	5	in	in	ADP
cana-2344	69	6	refining	refining	NOUN
cana-2344	69	7	which	which	PRON
cana-2344	69	8	features	feature	VERB
cana-2344	69	9	to	to	PART
cana-2344	69	10	keep	keep	VERB
cana-2344	69	11	in	in	ADP
cana-2344	69	12	sentiment	sentiment	NOUN
cana-2344	69	13	analysis	analysis	NOUN
cana-2344	69	14	,	,	PUNCT
cana-2344	69	15	making	make	VERB
cana-2344	69	16	the	the	DET
cana-2344	69	17	process	process	NOUN
cana-2344	69	18	more	more	ADV
cana-2344	69	19	efficient	efficient	ADJ
cana-2344	69	20	.	.	PUNCT
cana-2344	70	1	rajesh	rajesh	PROPN
cana-2344	70	2	keshavrao	keshavrao	PROPN
cana-2344	70	3	deshmukh	deshmukh	PROPN
cana-2344	70	4	et	et	PROPN
cana-2344	70	5	al	al	PROPN
cana-2344	70	6	.	.	PUNCT
cana-2344	71	1	[	[	X
cana-2344	71	2	3	3	X
cana-2344	71	3	]	]	PUNCT
cana-2344	71	4	used	use	VERB
cana-2344	71	5	a	a	DET
cana-2344	71	6	mix	mix	NOUN
cana-2344	71	7	of	of	ADP
cana-2344	71	8	particle	particle	NOUN
cana-2344	71	9	swarm	swarm	NOUN
cana-2344	71	10	optimization	optimization	NOUN
cana-2344	71	11	(	(	PUNCT
cana-2344	71	12	pso	pso	NOUN
cana-2344	71	13	)	)	PUNCT
cana-2344	71	14	and	and	CCONJ
cana-2344	71	15	krill	krill	NOUN
cana-2344	71	16	herd	herd	ADJ
cana-2344	71	17	algorithm	algorithm	NOUN
cana-2344	71	18	(	(	PUNCT
cana-2344	71	19	kha	kha	PROPN
cana-2344	71	20	)	)	PUNCT
cana-2344	71	21	to	to	PART
cana-2344	71	22	refine	refine	VERB
cana-2344	71	23	feature	feature	NOUN
cana-2344	71	24	selection	selection	NOUN
cana-2344	71	25	,	,	PUNCT
cana-2344	71	26	showing	show	VERB
cana-2344	71	27	clear	clear	ADJ
cana-2344	71	28	improvements	improvement	NOUN
cana-2344	71	29	in	in	ADP
cana-2344	71	30	how	how	SCONJ
cana-2344	71	31	well	well	ADV
cana-2344	71	32	the	the	DET
cana-2344	71	33	model	model	NOUN
cana-2344	71	34	performs	perform	VERB
cana-2344	71	35	.	.	PUNCT
cana-2344	72	1	botchway	botchway	VERB
cana-2344	72	2	et	et	PROPN
cana-2344	72	3	al	al	PROPN
cana-2344	72	4	.	.	PUNCT
cana-2344	73	1	[	[	X
cana-2344	73	2	4	4	NUM
cana-2344	73	3	]	]	PUNCT
cana-2344	73	4	focused	focus	VERB
cana-2344	73	5	on	on	ADP
cana-2344	73	6	binary	binary	ADJ
cana-2344	73	7	particle	particle	NOUN
cana-2344	73	8	swarm	swarm	NOUN
cana-2344	73	9	optimization	optimization	NOUN
cana-2344	73	10	(	(	PUNCT
cana-2344	73	11	bpso	bpso	NOUN
cana-2344	73	12	)	)	PUNCT
cana-2344	73	13	,	,	PUNCT
cana-2344	73	14	which	which	PRON
cana-2344	73	15	selects	select	VERB
cana-2344	73	16	the	the	DET
cana-2344	73	17	most	most	ADV
cana-2344	73	18	relevant	relevant	ADJ
cana-2344	73	19	features	feature	NOUN
cana-2344	73	20	,	,	PUNCT
cana-2344	73	21	reducing	reduce	VERB
cana-2344	73	22	noise	noise	NOUN
cana-2344	73	23	in	in	ADP
cana-2344	73	24	the	the	DET
cana-2344	73	25	data	datum	NOUN
cana-2344	73	26	.	.	PUNCT
cana-2344	74	1	daniel	daniel	PROPN
cana-2344	74	2	et	et	PROPN
cana-2344	74	3	al	al	PROPN
cana-2344	74	4	.	.	PUNCT
cana-2344	75	1	[	[	X
cana-2344	75	2	7	7	NUM
cana-2344	75	3	]	]	PUNCT
cana-2344	75	4	and	and	CCONJ
cana-2344	75	5	kour	kour	NOUN
cana-2344	75	6	,	,	PUNCT
cana-2344	75	7	kavleeetn	kavleeetn	PROPN
cana-2344	75	8	al	al	PROPN
cana-2344	75	9	.	.	PROPN
cana-2344	75	10	,	,	PUNCT
cana-2344	76	1	[	[	X
cana-2344	76	2	17	17	NUM
cana-2344	76	3	]	]	PUNCT
cana-2344	76	4	applied	apply	VERB
cana-2344	76	5	black	black	ADJ
cana-2344	76	6	widow	widow	NOUN
cana-2344	76	7	optimization	optimization	NOUN
cana-2344	76	8	(	(	PUNCT
cana-2344	76	9	bwo	bwo	PROPN
cana-2344	76	10	)	)	PUNCT
cana-2344	76	11	for	for	ADP
cana-2344	76	12	cutting	cut	VERB
cana-2344	76	13	down	down	ADP
cana-2344	76	14	feature	feature	NOUN
cana-2344	76	15	size	size	NOUN
cana-2344	76	16	,	,	PUNCT
cana-2344	76	17	keeping	keep	VERB
cana-2344	76	18	the	the	DET
cana-2344	76	19	model	model	NOUN
cana-2344	76	20	efficient	efficient	ADJ
cana-2344	76	21	without	without	ADP
cana-2344	76	22	losing	lose	VERB
cana-2344	76	23	accuracy	accuracy	NOUN
cana-2344	76	24	.	.	PUNCT
cana-2344	77	1	this	this	DET
cana-2344	77	2	approach	approach	NOUN
cana-2344	77	3	supports	support	VERB
cana-2344	77	4	the	the	DET
cana-2344	77	5	need	need	NOUN
cana-2344	77	6	for	for	ADP
cana-2344	77	7	advanced	advanced	ADJ
cana-2344	77	8	optimization	optimization	NOUN
cana-2344	77	9	in	in	ADP
cana-2344	77	10	improving	improve	VERB
cana-2344	77	11	feature	feature	NOUN
cana-2344	77	12	selection	selection	NOUN
cana-2344	77	13	,	,	PUNCT
cana-2344	77	14	aligning	align	VERB
cana-2344	77	15	closely	closely	ADV
cana-2344	77	16	with	with	ADP
cana-2344	77	17	the	the	DET
cana-2344	77	18	goals	goal	NOUN
cana-2344	77	19	of	of	ADP
cana-2344	77	20	the	the	DET
cana-2344	77	21	dlsa	dlsa	ADJ
cana-2344	77	22	model	model	NOUN
cana-2344	77	23	.	.	PUNCT
cana-2344	78	1	slpcf	slpcf	PROPN
cana-2344	78	2	,	,	PUNCT
cana-2344	78	3	as	as	SCONJ
cana-2344	78	4	presented	present	VERB
cana-2344	78	5	by	by	ADP
cana-2344	78	6	saileela	saileela	PROPN
cana-2344	78	7	p	p	PROPN
cana-2344	78	8	et	et	PROPN
cana-2344	78	9	al	al	PROPN
cana-2344	78	10	.	.	PUNCT
cana-2344	79	1	[	[	X
cana-2344	79	2	18	18	NUM
cana-2344	79	3	]	]	PUNCT
cana-2344	79	4	,	,	PUNCT
cana-2344	79	5	uses	use	VERB
cana-2344	79	6	sentiment	sentiment	NOUN
cana-2344	79	7	lexicons	lexicon	NOUN
cana-2344	79	8	and	and	CCONJ
cana-2344	79	9	phrase	phrase	NOUN
cana-2344	79	10	concurrence	concurrence	NOUN
cana-2344	79	11	to	to	PART
cana-2344	79	12	select	select	VERB
cana-2344	79	13	important	important	ADJ
cana-2344	79	14	features	feature	NOUN
cana-2344	79	15	.	.	PUNCT
cana-2344	80	1	it	it	PRON
cana-2344	80	2	employs	employ	VERB
cana-2344	80	3	genetic	genetic	ADJ
cana-2344	80	4	algorithms	algorithm	NOUN
cana-2344	80	5	to	to	PART
cana-2344	80	6	choose	choose	VERB
cana-2344	80	7	n	n	NUM
cana-2344	80	8	-	-	PUNCT
cana-2344	80	9	grams	gram	NOUN
cana-2344	80	10	that	that	PRON
cana-2344	80	11	contribute	contribute	VERB
cana-2344	80	12	to	to	ADP
cana-2344	80	13	more	more	ADV
cana-2344	80	14	accurate	accurate	ADJ
cana-2344	80	15	sentiment	sentiment	NOUN
cana-2344	80	16	analysis	analysis	NOUN
cana-2344	80	17	.	.	PUNCT
cana-2344	81	1	however	however	ADV
cana-2344	81	2	,	,	PUNCT
cana-2344	81	3	slpcf	slpcf	PROPN
cana-2344	81	4	does	do	AUX
cana-2344	81	5	not	not	PART
cana-2344	81	6	adjust	adjust	VERB
cana-2344	81	7	features	feature	NOUN
cana-2344	81	8	dynamically	dynamically	ADV
cana-2344	81	9	,	,	PUNCT
cana-2344	81	10	which	which	PRON
cana-2344	81	11	can	can	AUX
cana-2344	81	12	limit	limit	VERB
cana-2344	81	13	its	its	PRON
cana-2344	81	14	effectiveness	effectiveness	NOUN
cana-2344	81	15	.	.	PUNCT
cana-2344	82	1	dlsa	dlsa	PROPN
cana-2344	82	2	builds	build	NOUN
cana-2344	82	3	on	on	ADP
cana-2344	82	4	slpcf	slpcf	NOUN
cana-2344	82	5	by	by	ADP
cana-2344	82	6	adding	add	VERB
cana-2344	82	7	advanced	advanced	ADJ
cana-2344	82	8	,	,	PUNCT
cana-2344	82	9	adaptive	adaptive	ADJ
cana-2344	82	10	optimization	optimization	NOUN
cana-2344	82	11	techniques	technique	NOUN
cana-2344	82	12	,	,	PUNCT
cana-2344	82	13	allowing	allow	VERB
cana-2344	82	14	it	it	PRON
cana-2344	82	15	to	to	PART
cana-2344	82	16	respond	respond	VERB
cana-2344	82	17	better	well	ADV
cana-2344	82	18	to	to	ADP
cana-2344	82	19	new	new	ADJ
cana-2344	82	20	data	datum	NOUN
cana-2344	82	21	patterns	pattern	NOUN
cana-2344	82	22	and	and	CCONJ
cana-2344	82	23	continuously	continuously	ADV
cana-2344	82	24	refine	refine	VERB
cana-2344	82	25	feature	feature	NOUN
cana-2344	82	26	selection	selection	NOUN
cana-2344	82	27	.	.	PUNCT
cana-2344	83	1	3	3	NUM
cana-2344	83	2	methods	method	NOUN
cana-2344	83	3	and	and	CCONJ
cana-2344	83	4	materials	material	NOUN
cana-2344	83	5	this	this	DET
cana-2344	83	6	section	section	NOUN
cana-2344	83	7	provides	provide	VERB
cana-2344	83	8	a	a	DET
cana-2344	83	9	detailed	detailed	ADJ
cana-2344	83	10	description	description	NOUN
cana-2344	83	11	of	of	ADP
cana-2344	83	12	the	the	DET
cana-2344	83	13	proposed	propose	VERB
cana-2344	83	14	dynamic	dynamic	ADJ
cana-2344	83	15	lexicon	lexicon	NOUN
cana-2344	83	16	-	-	PUNCT
cana-2344	83	17	based	base	VERB
cana-2344	83	18	sentiment	sentiment	NOUN
cana-2344	83	19	analysis	analysis	NOUN
cana-2344	83	20	architecture	architecture	NOUN
cana-2344	83	21	,	,	PUNCT
cana-2344	83	22	emphasizing	emphasize	VERB
cana-2344	83	23	its	its	PRON
cana-2344	83	24	nonlinear	nonlinear	ADJ
cana-2344	83	25	feature	feature	NOUN
cana-2344	83	26	optimization	optimization	NOUN
cana-2344	83	27	process	process	NOUN
cana-2344	83	28	.	.	PUNCT
cana-2344	84	1	the	the	DET
cana-2344	84	2	architecture	architecture	NOUN
cana-2344	84	3	integrates	integrate	VERB
cana-2344	84	4	advanced	advanced	ADJ
cana-2344	84	5	sentiment	sentiment	NOUN
cana-2344	84	6	lexicon	lexicon	NOUN
cana-2344	84	7	analysis	analysis	NOUN
cana-2344	84	8	with	with	ADP
cana-2344	84	9	adaptive	adaptive	ADJ
cana-2344	84	10	feedback	feedback	NOUN
cana-2344	84	11	mechanisms	mechanism	NOUN
cana-2344	84	12	to	to	PART
cana-2344	84	13	enhance	enhance	VERB
cana-2344	84	14	the	the	DET
cana-2344	84	15	accuracy	accuracy	NOUN
cana-2344	84	16	and	and	CCONJ
cana-2344	84	17	efficiency	efficiency	NOUN
cana-2344	84	18	of	of	ADP
cana-2344	84	19	sentiment	sentiment	NOUN
cana-2344	84	20	detection	detection	NOUN
cana-2344	84	21	.	.	PUNCT
cana-2344	85	1	the	the	DET
cana-2344	85	2	methodology	methodology	NOUN
cana-2344	85	3	is	be	AUX
cana-2344	85	4	structured	structure	VERB
cana-2344	85	5	into	into	ADP
cana-2344	85	6	several	several	ADJ
cana-2344	85	7	interconnected	interconnected	ADJ
cana-2344	85	8	modules	module	NOUN
cana-2344	85	9	,	,	PUNCT
cana-2344	85	10	each	each	PRON
cana-2344	85	11	playing	play	VERB
cana-2344	85	12	a	a	DET
cana-2344	85	13	critical	critical	ADJ
cana-2344	85	14	role	role	NOUN
cana-2344	85	15	in	in	ADP
cana-2344	85	16	the	the	DET
cana-2344	85	17	overall	overall	ADJ
cana-2344	85	18	functionality	functionality	NOUN
cana-2344	85	19	of	of	ADP
cana-2344	85	20	the	the	DET
cana-2344	85	21	system	system	NOUN
cana-2344	85	22	.	.	PUNCT
cana-2344	86	1	3.1	3.1	NUM
cana-2344	86	2	overview	overview	NOUN
cana-2344	86	3	of	of	ADP
cana-2344	86	4	the	the	DET
cana-2344	86	5	architecture	architecture	NOUN
cana-2344	86	6	the	the	DET
cana-2344	86	7	dynamic	dynamic	ADJ
cana-2344	86	8	lexicon	lexicon	NOUN
cana-2344	86	9	-	-	PUNCT
cana-2344	86	10	based	base	VERB
cana-2344	86	11	sentiment	sentiment	NOUN
cana-2344	86	12	analysis	analysis	NOUN
cana-2344	86	13	architecture	architecture	NOUN
cana-2344	86	14	improves	improve	VERB
cana-2344	86	15	sentiment	sentiment	NOUN
cana-2344	86	16	classification	classification	NOUN
cana-2344	86	17	through	through	ADP
cana-2344	86	18	a	a	DET
cana-2344	86	19	nonlinear	nonlinear	ADJ
cana-2344	86	20	approach	approach	NOUN
cana-2344	86	21	that	that	PRON
cana-2344	86	22	refines	refine	VERB
cana-2344	86	23	feature	feature	NOUN
cana-2344	86	24	selection	selection	NOUN
cana-2344	86	25	.	.	PUNCT
cana-2344	87	1	it	it	PRON
cana-2344	87	2	integrates	integrate	VERB
cana-2344	87	3	sentiment	sentiment	NOUN
cana-2344	87	4	lexicons	lexicon	NOUN
cana-2344	87	5	,	,	PUNCT
cana-2344	87	6	genetic	genetic	ADJ
cana-2344	87	7	algorithms	algorithm	NOUN
cana-2344	87	8	,	,	PUNCT
cana-2344	87	9	and	and	CCONJ
cana-2344	87	10	adaptive	adaptive	ADJ
cana-2344	87	11	feedback	feedback	NOUN
cana-2344	87	12	,	,	PUNCT
cana-2344	87	13	creating	create	VERB
cana-2344	87	14	a	a	DET
cana-2344	87	15	system	system	NOUN
cana-2344	87	16	that	that	PRON
cana-2344	87	17	adjusts	adjust	VERB
cana-2344	87	18	features	feature	NOUN
cana-2344	87	19	based	base	VERB
cana-2344	87	20	on	on	ADP
cana-2344	87	21	data	datum	NOUN
cana-2344	87	22	changes	change	NOUN
cana-2344	87	23	to	to	PART
cana-2344	87	24	enhance	enhance	VERB
cana-2344	87	25	accuracy	accuracy	NOUN
cana-2344	87	26	and	and	CCONJ
cana-2344	87	27	efficiency	efficiency	NOUN
cana-2344	87	28	.	.	PUNCT
cana-2344	88	1	communications	communication	NOUN
cana-2344	88	2	on	on	ADP
cana-2344	88	3	applied	apply	VERB
cana-2344	88	4	nonlinear	nonlinear	ADJ
cana-2344	88	5	analysis	analysis	NOUN
cana-2344	88	6	issn	issn	NOUN
cana-2344	88	7	:	:	PUNCT
cana-2344	88	8	1074	1074	NUM
cana-2344	88	9	-	-	PUNCT
cana-2344	88	10	133x	133x	NUM
cana-2344	88	11	vol	vol	NOUN
cana-2344	88	12	32	32	NUM
cana-2344	88	13	no	no	NOUN
cana-2344	88	14	.	.	PUNCT
cana-2344	89	1	1s	1s	NUM
cana-2344	89	2	(	(	PUNCT
cana-2344	89	3	2025	2025	NUM
cana-2344	89	4	)	)	PUNCT
cana-2344	89	5	560	560	NUM
cana-2344	89	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2344	89	7	this	this	DET
cana-2344	89	8	architecture	architecture	NOUN
cana-2344	89	9	is	be	AUX
cana-2344	89	10	structured	structure	VERB
cana-2344	89	11	around	around	ADP
cana-2344	89	12	interconnected	interconnected	ADJ
cana-2344	89	13	modules	module	NOUN
cana-2344	89	14	that	that	PRON
cana-2344	89	15	work	work	VERB
cana-2344	89	16	together	together	ADV
cana-2344	89	17	in	in	ADP
cana-2344	89	18	an	an	DET
cana-2344	89	19	iterative	iterative	NOUN
cana-2344	89	20	process	process	NOUN
cana-2344	89	21	.	.	PUNCT
cana-2344	90	1	the	the	DET
cana-2344	90	2	first	first	ADJ
cana-2344	90	3	step	step	NOUN
cana-2344	90	4	involves	involve	VERB
cana-2344	90	5	data	datum	NOUN
cana-2344	90	6	preprocessing	preprocessing	NOUN
cana-2344	90	7	,	,	PUNCT
cana-2344	90	8	where	where	SCONJ
cana-2344	90	9	text	text	NOUN
cana-2344	90	10	data	datum	NOUN
cana-2344	90	11	is	be	AUX
cana-2344	90	12	cleaned	clean	VERB
cana-2344	90	13	,	,	PUNCT
cana-2344	90	14	tokenized	tokenized	ADJ
cana-2344	90	15	,	,	PUNCT
cana-2344	90	16	and	and	CCONJ
cana-2344	90	17	analyzed	analyze	VERB
cana-2344	90	18	to	to	PART
cana-2344	90	19	identify	identify	VERB
cana-2344	90	20	essential	essential	ADJ
cana-2344	90	21	elements	element	NOUN
cana-2344	90	22	such	such	ADJ
cana-2344	90	23	as	as	ADP
cana-2344	90	24	nouns	noun	NOUN
cana-2344	90	25	and	and	CCONJ
cana-2344	90	26	verbs	verb	NOUN
cana-2344	90	27	.	.	PUNCT
cana-2344	91	1	following	follow	VERB
cana-2344	91	2	this	this	PRON
cana-2344	91	3	,	,	PUNCT
cana-2344	91	4	lexicon	lexicon	NOUN
cana-2344	91	5	and	and	CCONJ
cana-2344	91	6	phrase	phrase	NOUN
cana-2344	91	7	extraction	extraction	NOUN
cana-2344	91	8	occurs	occur	VERB
cana-2344	91	9	,	,	PUNCT
cana-2344	91	10	linking	link	VERB
cana-2344	91	11	extracted	extract	VERB
cana-2344	91	12	phrases	phrase	NOUN
cana-2344	91	13	to	to	AUX
cana-2344	91	14	predefined	predefine	VERB
cana-2344	91	15	sentiment	sentiment	NOUN
cana-2344	91	16	lexicons	lexicon	NOUN
cana-2344	91	17	to	to	PART
cana-2344	91	18	determine	determine	VERB
cana-2344	91	19	the	the	DET
cana-2344	91	20	sentiment	sentiment	NOUN
cana-2344	91	21	,	,	PUNCT
cana-2344	91	22	whether	whether	SCONJ
cana-2344	91	23	positive	positive	ADJ
cana-2344	91	24	,	,	PUNCT
cana-2344	91	25	negative	negative	ADJ
cana-2344	91	26	,	,	PUNCT
cana-2344	91	27	or	or	CCONJ
cana-2344	91	28	neutral	neutral	ADJ
cana-2344	91	29	.	.	PUNCT
cana-2344	92	1	next	next	ADV
cana-2344	92	2	,	,	PUNCT
cana-2344	92	3	the	the	DET
cana-2344	92	4	genetic	genetic	ADJ
cana-2344	92	5	algorithm	algorithm	NOUN
cana-2344	92	6	plays	play	VERB
cana-2344	92	7	a	a	DET
cana-2344	92	8	critical	critical	ADJ
cana-2344	92	9	role	role	NOUN
cana-2344	92	10	in	in	ADP
cana-2344	92	11	feature	feature	NOUN
cana-2344	92	12	optimization	optimization	NOUN
cana-2344	92	13	,	,	PUNCT
cana-2344	92	14	evolving	evolve	VERB
cana-2344	92	15	the	the	DET
cana-2344	92	16	feature	feature	NOUN
cana-2344	92	17	set	set	VERB
cana-2344	92	18	by	by	ADP
cana-2344	92	19	selecting	select	VERB
cana-2344	92	20	,	,	PUNCT
cana-2344	92	21	combining	combine	VERB
cana-2344	92	22	,	,	PUNCT
cana-2344	92	23	and	and	CCONJ
cana-2344	92	24	mutating	mutate	VERB
cana-2344	92	25	features	feature	NOUN
cana-2344	92	26	to	to	PART
cana-2344	92	27	identify	identify	VERB
cana-2344	92	28	the	the	DET
cana-2344	92	29	most	most	ADV
cana-2344	92	30	valuable	valuable	ADJ
cana-2344	92	31	ones	one	NOUN
cana-2344	92	32	.	.	PUNCT
cana-2344	93	1	the	the	DET
cana-2344	93	2	nonlinear	nonlinear	ADJ
cana-2344	93	3	concurrence	concurrence	NOUN
cana-2344	93	4	fitness	fitness	NOUN
cana-2344	93	5	evaluation	evaluation	NOUN
cana-2344	93	6	then	then	ADV
cana-2344	93	7	examines	examine	VERB
cana-2344	93	8	feature	feature	NOUN
cana-2344	93	9	pairs	pair	NOUN
cana-2344	93	10	,	,	PUNCT
cana-2344	93	11	capturing	capture	VERB
cana-2344	93	12	complex	complex	ADJ
cana-2344	93	13	relationships	relationship	NOUN
cana-2344	93	14	between	between	ADP
cana-2344	93	15	them	they	PRON
cana-2344	93	16	to	to	PART
cana-2344	93	17	determine	determine	VERB
cana-2344	93	18	the	the	DET
cana-2344	93	19	most	most	ADV
cana-2344	93	20	significant	significant	ADJ
cana-2344	93	21	combinations	combination	NOUN
cana-2344	93	22	for	for	ADP
cana-2344	93	23	sentiment	sentiment	NOUN
cana-2344	93	24	analysis	analysis	NOUN
cana-2344	93	25	.	.	PUNCT
cana-2344	94	1	the	the	DET
cana-2344	94	2	adaptive	adaptive	ADJ
cana-2344	94	3	feedback	feedback	NOUN
cana-2344	94	4	mechanism	mechanism	NOUN
cana-2344	94	5	continually	continually	ADV
cana-2344	94	6	monitors	monitor	VERB
cana-2344	94	7	performance	performance	NOUN
cana-2344	94	8	,	,	PUNCT
cana-2344	94	9	adjusting	adjust	VERB
cana-2344	94	10	features	feature	NOUN
cana-2344	94	11	to	to	PART
cana-2344	94	12	improve	improve	VERB
cana-2344	94	13	results	result	NOUN
cana-2344	94	14	based	base	VERB
cana-2344	94	15	on	on	ADP
cana-2344	94	16	accuracy	accuracy	NOUN
cana-2344	94	17	and	and	CCONJ
cana-2344	94	18	other	other	ADJ
cana-2344	94	19	key	key	ADJ
cana-2344	94	20	metrics	metric	NOUN
cana-2344	94	21	.	.	PUNCT
cana-2344	95	1	finally	finally	ADV
cana-2344	95	2	,	,	PUNCT
cana-2344	95	3	the	the	DET
cana-2344	95	4	refined	refined	ADJ
cana-2344	95	5	features	feature	NOUN
cana-2344	95	6	are	be	AUX
cana-2344	95	7	used	use	VERB
cana-2344	95	8	in	in	ADP
cana-2344	95	9	classification	classification	NOUN
cana-2344	95	10	,	,	PUNCT
cana-2344	95	11	with	with	ADP
cana-2344	95	12	the	the	DET
cana-2344	95	13	system	system	NOUN
cana-2344	95	14	evaluating	evaluate	VERB
cana-2344	95	15	the	the	DET
cana-2344	95	16	overall	overall	ADJ
cana-2344	95	17	performance	performance	NOUN
cana-2344	95	18	to	to	PART
cana-2344	95	19	ensure	ensure	VERB
cana-2344	95	20	the	the	DET
cana-2344	95	21	features	feature	NOUN
cana-2344	95	22	selected	select	VERB
cana-2344	95	23	contribute	contribute	VERB
cana-2344	95	24	to	to	ADP
cana-2344	95	25	precise	precise	ADJ
cana-2344	95	26	and	and	CCONJ
cana-2344	95	27	reliable	reliable	ADJ
cana-2344	95	28	sentiment	sentiment	NOUN
cana-2344	95	29	detection	detection	NOUN
cana-2344	95	30	.	.	PUNCT
cana-2344	96	1	this	this	DET
cana-2344	96	2	architecture	architecture	NOUN
cana-2344	96	3	is	be	AUX
cana-2344	96	4	dynamic	dynamic	ADJ
cana-2344	96	5	,	,	PUNCT
cana-2344	96	6	constantly	constantly	ADV
cana-2344	96	7	refining	refine	VERB
cana-2344	96	8	its	its	PRON
cana-2344	96	9	features	feature	NOUN
cana-2344	96	10	through	through	ADP
cana-2344	96	11	a	a	DET
cana-2344	96	12	feedback	feedback	NOUN
cana-2344	96	13	loop	loop	NOUN
cana-2344	96	14	that	that	PRON
cana-2344	96	15	adapts	adapt	VERB
cana-2344	96	16	to	to	ADP
cana-2344	96	17	new	new	ADJ
cana-2344	96	18	patterns	pattern	NOUN
cana-2344	96	19	in	in	ADP
cana-2344	96	20	data	datum	NOUN
cana-2344	96	21	,	,	PUNCT
cana-2344	96	22	ensuring	ensure	VERB
cana-2344	96	23	the	the	DET
cana-2344	96	24	model	model	NOUN
cana-2344	96	25	remains	remain	VERB
cana-2344	96	26	effective	effective	ADJ
cana-2344	96	27	and	and	CCONJ
cana-2344	96	28	efficient	efficient	ADJ
cana-2344	96	29	.	.	PUNCT
cana-2344	97	1	the	the	DET
cana-2344	97	2	nonlinear	nonlinear	ADJ
cana-2344	97	3	feature	feature	NOUN
cana-2344	97	4	optimization	optimization	NOUN
cana-2344	97	5	captures	capture	VERB
cana-2344	97	6	intricate	intricate	ADJ
cana-2344	97	7	interactions	interaction	NOUN
cana-2344	97	8	between	between	ADP
cana-2344	97	9	words	word	NOUN
cana-2344	97	10	and	and	CCONJ
cana-2344	97	11	phrases	phrase	NOUN
cana-2344	97	12	,	,	PUNCT
cana-2344	97	13	allowing	allow	VERB
cana-2344	97	14	the	the	DET
cana-2344	97	15	system	system	NOUN
cana-2344	97	16	to	to	PART
cana-2344	97	17	go	go	VERB
cana-2344	97	18	beyond	beyond	ADP
cana-2344	97	19	basic	basic	ADJ
cana-2344	97	20	patterns	pattern	NOUN
cana-2344	97	21	and	and	CCONJ
cana-2344	97	22	select	select	VERB
cana-2344	97	23	the	the	DET
cana-2344	97	24	most	most	ADV
cana-2344	97	25	impactful	impactful	ADJ
cana-2344	97	26	features	feature	NOUN
cana-2344	97	27	.	.	PUNCT
cana-2344	98	1	the	the	DET
cana-2344	98	2	genetic	genetic	ADJ
cana-2344	98	3	algorithm	algorithm	NOUN
cana-2344	98	4	drives	drive	VERB
cana-2344	98	5	this	this	DET
cana-2344	98	6	feature	feature	NOUN
cana-2344	98	7	evolution	evolution	NOUN
cana-2344	98	8	,	,	PUNCT
cana-2344	98	9	applying	apply	VERB
cana-2344	98	10	principles	principle	NOUN
cana-2344	98	11	of	of	ADP
cana-2344	98	12	natural	natural	ADJ
cana-2344	98	13	selection	selection	NOUN
cana-2344	98	14	to	to	PART
cana-2344	98	15	find	find	VERB
cana-2344	98	16	the	the	DET
cana-2344	98	17	optimal	optimal	ADJ
cana-2344	98	18	combinations	combination	NOUN
cana-2344	98	19	that	that	PRON
cana-2344	98	20	improve	improve	VERB
cana-2344	98	21	sentiment	sentiment	NOUN
cana-2344	98	22	analysis	analysis	NOUN
cana-2344	98	23	.	.	PUNCT
cana-2344	99	1	sentiment	sentiment	NOUN
cana-2344	99	2	lexicons	lexicon	NOUN
cana-2344	99	3	are	be	AUX
cana-2344	99	4	integral	integral	ADJ
cana-2344	99	5	to	to	ADP
cana-2344	99	6	the	the	DET
cana-2344	99	7	process	process	NOUN
cana-2344	99	8	,	,	PUNCT
cana-2344	99	9	providing	provide	VERB
cana-2344	99	10	a	a	DET
cana-2344	99	11	foundation	foundation	NOUN
cana-2344	99	12	that	that	PRON
cana-2344	99	13	helps	help	VERB
cana-2344	99	14	the	the	DET
cana-2344	99	15	system	system	NOUN
cana-2344	99	16	understand	understand	VERB
cana-2344	99	17	and	and	CCONJ
cana-2344	99	18	categorize	categorize	VERB
cana-2344	99	19	various	various	ADJ
cana-2344	99	20	sentiments	sentiment	NOUN
cana-2344	99	21	accurately	accurately	ADV
cana-2344	99	22	.	.	PUNCT
cana-2344	100	1	an	an	DET
cana-2344	100	2	adaptive	adaptive	ADJ
cana-2344	100	3	weighting	weighting	NOUN
cana-2344	100	4	mechanism	mechanism	NOUN
cana-2344	100	5	fine	fine	NOUN
cana-2344	100	6	-	-	PUNCT
cana-2344	100	7	tunes	tune	NOUN
cana-2344	100	8	the	the	DET
cana-2344	100	9	influence	influence	NOUN
cana-2344	100	10	of	of	ADP
cana-2344	100	11	each	each	DET
cana-2344	100	12	feature	feature	NOUN
cana-2344	100	13	based	base	VERB
cana-2344	100	14	on	on	ADP
cana-2344	100	15	performance	performance	NOUN
cana-2344	100	16	,	,	PUNCT
cana-2344	100	17	ensuring	ensure	VERB
cana-2344	100	18	that	that	SCONJ
cana-2344	100	19	only	only	ADV
cana-2344	100	20	the	the	DET
cana-2344	100	21	most	most	ADV
cana-2344	100	22	relevant	relevant	ADJ
cana-2344	100	23	features	feature	NOUN
cana-2344	100	24	impact	impact	NOUN
cana-2344	100	25	sentiment	sentiment	NOUN
cana-2344	100	26	classification	classification	NOUN
cana-2344	100	27	.	.	PUNCT
cana-2344	101	1	this	this	DET
cana-2344	101	2	adaptive	adaptive	ADJ
cana-2344	101	3	,	,	PUNCT
cana-2344	101	4	nonlinear	nonlinear	ADJ
cana-2344	101	5	design	design	NOUN
cana-2344	101	6	creates	create	VERB
cana-2344	101	7	a	a	DET
cana-2344	101	8	responsive	responsive	ADJ
cana-2344	101	9	system	system	NOUN
cana-2344	101	10	that	that	PRON
cana-2344	101	11	continuously	continuously	ADV
cana-2344	101	12	improves	improve	VERB
cana-2344	101	13	,	,	PUNCT
cana-2344	101	14	making	make	VERB
cana-2344	101	15	it	it	PRON
cana-2344	101	16	well	well	ADV
cana-2344	101	17	-	-	PUNCT
cana-2344	101	18	suited	suit	VERB
cana-2344	101	19	for	for	ADP
cana-2344	101	20	analyzing	analyze	VERB
cana-2344	101	21	diverse	diverse	ADJ
cana-2344	101	22	and	and	CCONJ
cana-2344	101	23	complex	complex	ADJ
cana-2344	101	24	text	text	NOUN
cana-2344	101	25	data	datum	NOUN
cana-2344	101	26	.	.	PUNCT
cana-2344	102	1	3.2	3.2	NUM
cana-2344	102	2	data	datum	NOUN
cana-2344	102	3	preprocessing	preprocessing	NOUN
cana-2344	102	4	module	module	NOUN
cana-2344	102	5	preprocessing	preprocessing	NOUN
cana-2344	102	6	is	be	AUX
cana-2344	102	7	the	the	DET
cana-2344	102	8	first	first	ADJ
cana-2344	102	9	step	step	NOUN
cana-2344	102	10	in	in	ADP
cana-2344	102	11	sentiment	sentiment	NOUN
cana-2344	102	12	analysis	analysis	NOUN
cana-2344	102	13	,	,	PUNCT
cana-2344	102	14	where	where	SCONJ
cana-2344	102	15	raw	raw	ADJ
cana-2344	102	16	text	text	NOUN
cana-2344	102	17	is	be	AUX
cana-2344	102	18	prepared	prepare	VERB
cana-2344	102	19	for	for	ADP
cana-2344	102	20	feature	feature	NOUN
cana-2344	102	21	extraction	extraction	NOUN
cana-2344	102	22	.	.	PUNCT
cana-2344	103	1	this	this	DET
cana-2344	103	2	stage	stage	NOUN
cana-2344	103	3	cleans	clean	VERB
cana-2344	103	4	and	and	CCONJ
cana-2344	103	5	structures	structure	VERB
cana-2344	103	6	the	the	DET
cana-2344	103	7	data	datum	NOUN
cana-2344	103	8	,	,	PUNCT
cana-2344	103	9	removing	remove	VERB
cana-2344	103	10	noise	noise	NOUN
cana-2344	103	11	and	and	CCONJ
cana-2344	103	12	making	make	VERB
cana-2344	103	13	it	it	PRON
cana-2344	103	14	suitable	suitable	ADJ
cana-2344	103	15	for	for	ADP
cana-2344	103	16	further	further	ADJ
cana-2344	103	17	processing	processing	NOUN
cana-2344	103	18	.	.	PUNCT
cana-2344	104	1	effective	effective	ADJ
cana-2344	104	2	preprocessing	preprocessing	NOUN
cana-2344	104	3	improves	improve	VERB
cana-2344	104	4	feature	feature	NOUN
cana-2344	104	5	quality	quality	NOUN
cana-2344	104	6	and	and	CCONJ
cana-2344	104	7	reduces	reduce	VERB
cana-2344	104	8	computational	computational	ADJ
cana-2344	104	9	load	load	NOUN
cana-2344	104	10	,	,	PUNCT
cana-2344	104	11	setting	set	VERB
cana-2344	104	12	a	a	DET
cana-2344	104	13	strong	strong	ADJ
cana-2344	104	14	foundation	foundation	NOUN
cana-2344	104	15	for	for	ADP
cana-2344	104	16	accurate	accurate	ADJ
cana-2344	104	17	sentiment	sentiment	NOUN
cana-2344	104	18	classification	classification	NOUN
cana-2344	104	19	.	.	PUNCT
cana-2344	105	1	the	the	DET
cana-2344	105	2	preprocessing	preprocessing	NOUN
cana-2344	105	3	module	module	NOUN
cana-2344	105	4	handles	handle	VERB
cana-2344	105	5	the	the	DET
cana-2344	105	6	initial	initial	ADJ
cana-2344	105	7	transformation	transformation	NOUN
cana-2344	105	8	of	of	ADP
cana-2344	105	9	raw	raw	ADJ
cana-2344	105	10	text	text	NOUN
cana-2344	105	11	into	into	ADP
cana-2344	105	12	a	a	DET
cana-2344	105	13	refined	refined	ADJ
cana-2344	105	14	format	format	NOUN
cana-2344	105	15	that	that	PRON
cana-2344	105	16	supports	support	VERB
cana-2344	105	17	lexicon	lexicon	NOUN
cana-2344	105	18	extraction	extraction	NOUN
cana-2344	105	19	and	and	CCONJ
cana-2344	105	20	feature	feature	NOUN
cana-2344	105	21	optimization	optimization	NOUN
cana-2344	105	22	.	.	PUNCT
cana-2344	106	1	key	key	ADJ
cana-2344	106	2	tasks	task	NOUN
cana-2344	106	3	include	include	VERB
cana-2344	106	4	text	text	NOUN
cana-2344	106	5	cleaning	cleaning	NOUN
cana-2344	106	6	,	,	PUNCT
cana-2344	106	7	tokenization	tokenization	NOUN
cana-2344	106	8	,	,	PUNCT
cana-2344	106	9	and	and	CCONJ
cana-2344	106	10	tagging	tag	VERB
cana-2344	106	11	essential	essential	ADJ
cana-2344	106	12	elements	element	NOUN
cana-2344	106	13	like	like	ADP
cana-2344	106	14	nouns	noun	NOUN
cana-2344	106	15	and	and	CCONJ
cana-2344	106	16	verbs	verb	NOUN
cana-2344	106	17	.	.	PUNCT
cana-2344	107	1	these	these	DET
cana-2344	107	2	steps	step	NOUN
cana-2344	107	3	eliminate	eliminate	VERB
cana-2344	107	4	irrelevant	irrelevant	ADJ
cana-2344	107	5	data	datum	NOUN
cana-2344	107	6	and	and	CCONJ
cana-2344	107	7	focus	focus	VERB
cana-2344	107	8	on	on	ADP
cana-2344	107	9	relevant	relevant	ADJ
cana-2344	107	10	features	feature	NOUN
cana-2344	107	11	,	,	PUNCT
cana-2344	107	12	enhancing	enhance	VERB
cana-2344	107	13	the	the	DET
cana-2344	107	14	accuracy	accuracy	NOUN
cana-2344	107	15	of	of	ADP
cana-2344	107	16	the	the	DET
cana-2344	107	17	sentiment	sentiment	NOUN
cana-2344	107	18	analysis	analysis	NOUN
cana-2344	107	19	model	model	NOUN
cana-2344	107	20	.	.	PUNCT
cana-2344	108	1	text	text	NOUN
cana-2344	108	2	cleaning	cleaning	NOUN
cana-2344	108	3	removes	remove	VERB
cana-2344	108	4	unwanted	unwanted	ADJ
cana-2344	108	5	characters	character	NOUN
cana-2344	108	6	,	,	PUNCT
cana-2344	108	7	symbols	symbol	NOUN
cana-2344	108	8	,	,	PUNCT
cana-2344	108	9	and	and	CCONJ
cana-2344	108	10	noise	noise	NOUN
cana-2344	108	11	from	from	ADP
cana-2344	108	12	the	the	DET
cana-2344	108	13	data	datum	NOUN
cana-2344	108	14	.	.	PUNCT
cana-2344	109	1	this	this	DET
cana-2344	109	2	process	process	NOUN
cana-2344	109	3	includes	include	VERB
cana-2344	109	4	converting	convert	VERB
cana-2344	109	5	text	text	NOUN
cana-2344	109	6	to	to	PART
cana-2344	109	7	lowercase	lowercase	VERB
cana-2344	109	8	,	,	PUNCT
cana-2344	109	9	removing	remove	VERB
cana-2344	109	10	punctuation	punctuation	NOUN
cana-2344	109	11	,	,	PUNCT
cana-2344	109	12	and	and	CCONJ
cana-2344	109	13	eliminating	eliminate	VERB
cana-2344	109	14	stop	stop	VERB
cana-2344	109	15	words	word	NOUN
cana-2344	109	16	like	like	ADP
cana-2344	109	17	“	"	PUNCT
cana-2344	109	18	and	and	CCONJ
cana-2344	109	19	,	,	PUNCT
cana-2344	109	20	”	"	PUNCT
cana-2344	109	21	“	"	PUNCT
cana-2344	109	22	the	the	PRON
cana-2344	109	23	,	,	PUNCT
cana-2344	109	24	”	"	PUNCT
cana-2344	109	25	and	and	CCONJ
cana-2344	109	26	“	"	PUNCT
cana-2344	109	27	is	be	AUX
cana-2344	109	28	.	.	PUNCT
cana-2344	109	29	”	"	PUNCT
cana-2344	110	1	stemming	stem	VERB
cana-2344	110	2	and	and	CCONJ
cana-2344	110	3	lemmatization	lemmatization	NOUN
cana-2344	110	4	further	far	ADV
cana-2344	110	5	simplify	simplify	VERB
cana-2344	110	6	words	word	NOUN
cana-2344	110	7	to	to	ADP
cana-2344	110	8	their	their	PRON
cana-2344	110	9	base	base	NOUN
cana-2344	110	10	forms	form	NOUN
cana-2344	110	11	,	,	PUNCT
cana-2344	110	12	enhancing	enhance	VERB
cana-2344	110	13	consistency	consistency	NOUN
cana-2344	110	14	across	across	ADP
cana-2344	110	15	the	the	DET
cana-2344	110	16	data	datum	NOUN
cana-2344	110	17	.	.	PUNCT
cana-2344	111	1	tokenization	tokenization	NOUN
cana-2344	111	2	splits	split	VERB
cana-2344	111	3	the	the	DET
cana-2344	111	4	text	text	NOUN
cana-2344	111	5	into	into	ADP
cana-2344	111	6	individual	individual	ADJ
cana-2344	111	7	words	word	NOUN
cana-2344	111	8	or	or	CCONJ
cana-2344	111	9	phrases	phrase	NOUN
cana-2344	111	10	,	,	PUNCT
cana-2344	111	11	creating	create	VERB
cana-2344	111	12	a	a	DET
cana-2344	111	13	structured	structured	ADJ
cana-2344	111	14	dataset	dataset	NOUN
cana-2344	111	15	that	that	PRON
cana-2344	111	16	allows	allow	VERB
cana-2344	111	17	deeper	deep	ADJ
cana-2344	111	18	analysis	analysis	NOUN
cana-2344	111	19	.	.	PUNCT
cana-2344	112	1	communications	communication	NOUN
cana-2344	112	2	on	on	ADP
cana-2344	112	3	applied	apply	VERB
cana-2344	112	4	nonlinear	nonlinear	ADJ
cana-2344	112	5	analysis	analysis	NOUN
cana-2344	112	6	issn	issn	NOUN
cana-2344	112	7	:	:	PUNCT
cana-2344	112	8	1074	1074	NUM
cana-2344	112	9	-	-	PUNCT
cana-2344	112	10	133x	133x	NUM
cana-2344	112	11	vol	vol	NOUN
cana-2344	112	12	32	32	NUM
cana-2344	112	13	no	no	NOUN
cana-2344	112	14	.	.	PUNCT
cana-2344	113	1	1s	1s	NUM
cana-2344	113	2	(	(	PUNCT
cana-2344	113	3	2025	2025	NUM
cana-2344	113	4	)	)	PUNCT
cana-2344	113	5	561	561	NUM
cana-2344	113	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2344	113	7	pos	pos	NOUN
cana-2344	113	8	tagging	tagging	NOUN
cana-2344	113	9	identifies	identify	VERB
cana-2344	113	10	grammatical	grammatical	ADJ
cana-2344	113	11	elements	element	NOUN
cana-2344	113	12	in	in	ADP
cana-2344	113	13	the	the	DET
cana-2344	113	14	text	text	NOUN
cana-2344	113	15	,	,	PUNCT
cana-2344	113	16	such	such	ADJ
cana-2344	113	17	as	as	ADP
cana-2344	113	18	nouns	noun	NOUN
cana-2344	113	19	,	,	PUNCT
cana-2344	113	20	verbs	verb	NOUN
cana-2344	113	21	,	,	PUNCT
cana-2344	113	22	and	and	CCONJ
cana-2344	113	23	adjectives	adjective	NOUN
cana-2344	113	24	,	,	PUNCT
cana-2344	113	25	highlighting	highlight	VERB
cana-2344	113	26	words	word	NOUN
cana-2344	113	27	that	that	PRON
cana-2344	113	28	carry	carry	VERB
cana-2344	113	29	significant	significant	ADJ
cana-2344	113	30	sentiment	sentiment	NOUN
cana-2344	113	31	.	.	PUNCT
cana-2344	114	1	named	name	VERB
cana-2344	114	2	entity	entity	NOUN
cana-2344	114	3	recognition	recognition	NOUN
cana-2344	114	4	(	(	PUNCT
cana-2344	114	5	ner	ner	NOUN
cana-2344	114	6	)	)	PUNCT
cana-2344	114	7	detects	detect	VERB
cana-2344	114	8	key	key	ADJ
cana-2344	114	9	entities	entity	NOUN
cana-2344	114	10	like	like	ADP
cana-2344	114	11	names	name	NOUN
cana-2344	114	12	,	,	PUNCT
cana-2344	114	13	places	place	NOUN
cana-2344	114	14	,	,	PUNCT
cana-2344	114	15	and	and	CCONJ
cana-2344	114	16	dates	date	NOUN
cana-2344	114	17	,	,	PUNCT
cana-2344	114	18	which	which	PRON
cana-2344	114	19	can	can	AUX
cana-2344	114	20	influence	influence	VERB
cana-2344	114	21	sentiment	sentiment	NOUN
cana-2344	114	22	.	.	PUNCT
cana-2344	115	1	these	these	DET
cana-2344	115	2	steps	step	NOUN
cana-2344	115	3	help	help	VERB
cana-2344	115	4	focus	focus	VERB
cana-2344	115	5	on	on	ADP
cana-2344	115	6	words	word	NOUN
cana-2344	115	7	that	that	PRON
cana-2344	115	8	matter	matter	VERB
cana-2344	115	9	most	most	ADV
cana-2344	115	10	in	in	ADP
cana-2344	115	11	sentiment	sentiment	NOUN
cana-2344	115	12	analysis	analysis	NOUN
cana-2344	115	13	,	,	PUNCT
cana-2344	115	14	refining	refine	VERB
cana-2344	115	15	the	the	DET
cana-2344	115	16	feature	feature	NOUN
cana-2344	115	17	set	set	VERB
cana-2344	115	18	for	for	ADP
cana-2344	115	19	better	well	ADJ
cana-2344	115	20	classification	classification	NOUN
cana-2344	115	21	.	.	PUNCT
cana-2344	116	1	n	n	CCONJ
cana-2344	116	2	-	-	PUNCT
cana-2344	116	3	gram	gram	NOUN
cana-2344	116	4	extraction	extraction	NOUN
cana-2344	116	5	captures	capture	VERB
cana-2344	116	6	combinations	combination	NOUN
cana-2344	116	7	of	of	ADP
cana-2344	116	8	words	word	NOUN
cana-2344	116	9	(	(	PUNCT
cana-2344	116	10	bigrams	bigram	NOUN
cana-2344	116	11	,	,	PUNCT
cana-2344	116	12	trigrams	trigram	NOUN
cana-2344	116	13	)	)	PUNCT
cana-2344	116	14	to	to	PART
cana-2344	116	15	understand	understand	VERB
cana-2344	116	16	context	context	NOUN
cana-2344	116	17	and	and	CCONJ
cana-2344	116	18	phrase	phrase	ADJ
cana-2344	116	19	-	-	PUNCT
cana-2344	116	20	level	level	NOUN
cana-2344	116	21	sentiment	sentiment	NOUN
cana-2344	116	22	.	.	PUNCT
cana-2344	117	1	this	this	DET
cana-2344	117	2	method	method	NOUN
cana-2344	117	3	identifies	identify	VERB
cana-2344	117	4	patterns	pattern	NOUN
cana-2344	117	5	that	that	SCONJ
cana-2344	117	6	single	single	ADJ
cana-2344	117	7	words	word	NOUN
cana-2344	117	8	might	might	AUX
cana-2344	117	9	miss	miss	VERB
cana-2344	117	10	,	,	PUNCT
cana-2344	117	11	offering	offer	VERB
cana-2344	117	12	insights	insight	NOUN
cana-2344	117	13	into	into	ADP
cana-2344	117	14	how	how	SCONJ
cana-2344	117	15	terms	term	NOUN
cana-2344	117	16	interact	interact	VERB
cana-2344	117	17	within	within	ADP
cana-2344	117	18	a	a	DET
cana-2344	117	19	sentence	sentence	NOUN
cana-2344	117	20	.	.	PUNCT
cana-2344	118	1	n	n	CCONJ
cana-2344	118	2	-	-	PUNCT
cana-2344	118	3	grams	gram	NOUN
cana-2344	118	4	provide	provide	VERB
cana-2344	118	5	a	a	DET
cana-2344	118	6	richer	rich	ADJ
cana-2344	118	7	feature	feature	NOUN
cana-2344	118	8	set	set	VERB
cana-2344	118	9	that	that	PRON
cana-2344	118	10	captures	capture	VERB
cana-2344	118	11	subtle	subtle	ADJ
cana-2344	118	12	sentiment	sentiment	NOUN
cana-2344	118	13	shifts	shift	NOUN
cana-2344	118	14	,	,	PUNCT
cana-2344	118	15	making	make	VERB
cana-2344	118	16	the	the	DET
cana-2344	118	17	analysis	analysis	NOUN
cana-2344	118	18	more	more	ADV
cana-2344	118	19	precise	precise	ADJ
cana-2344	118	20	.	.	PUNCT
cana-2344	119	1	let	let	VERB
cana-2344	119	2	𝑇	𝑇	PROPN
cana-2344	119	3	=	=	PRON
cana-2344	119	4	{	{	PUNCT
cana-2344	119	5	𝑡1	𝑡1	PROPN
cana-2344	119	6	,	,	PUNCT
cana-2344	119	7	𝑡2	𝑡2	PROPN
cana-2344	119	8	,	,	PUNCT
cana-2344	119	9	.	.	PUNCT
cana-2344	119	10	.	.	PUNCT
cana-2344	120	1	.	.	PUNCT
cana-2344	121	1	,	,	PUNCT
cana-2344	121	2	𝑡𝑛	𝑡𝑛	NOUN
cana-2344	121	3	}	}	PUNCT
cana-2344	121	4	represent	represent	VERB
cana-2344	121	5	the	the	DET
cana-2344	121	6	set	set	NOUN
cana-2344	121	7	of	of	ADP
cana-2344	121	8	tokens	token	NOUN
cana-2344	121	9	extracted	extract	VERB
cana-2344	121	10	from	from	ADP
cana-2344	121	11	the	the	DET
cana-2344	121	12	text	text	NOUN
cana-2344	121	13	after	after	ADP
cana-2344	121	14	preprocessing	preprocesse	VERB
cana-2344	121	15	.	.	PUNCT
cana-2344	122	1	each	each	PRON
cana-2344	122	2	token	token	VERB
cana-2344	122	3	𝑡𝑖	𝑡𝑖	NOUN
cana-2344	122	4	undergoes	undergoe	NOUN
cana-2344	122	5	operations	operation	NOUN
cana-2344	122	6	defined	define	VERB
cana-2344	122	7	by	by	ADP
cana-2344	122	8	:	:	PUNCT
cana-2344	122	9	•	•	NOUN
cana-2344	122	10	cleaning	cleaning	NOUN
cana-2344	122	11	function	function	NOUN
cana-2344	122	12	𝑪(𝒕	𝑪(𝒕	VERB
cana-2344	122	13	):	):	PUNCT
cana-2344	122	14	removes	remove	VERB
cana-2344	122	15	noise	noise	NOUN
cana-2344	122	16	,	,	PUNCT
cana-2344	122	17	stop	stop	VERB
cana-2344	122	18	words	word	NOUN
cana-2344	122	19	,	,	PUNCT
cana-2344	122	20	and	and	CCONJ
cana-2344	122	21	irrelevant	irrelevant	ADJ
cana-2344	122	22	characters	character	NOUN
cana-2344	122	23	.	.	PUNCT
cana-2344	123	1	•	•	NOUN
cana-2344	123	2	stemming	stem	VERB
cana-2344	123	3	function	function	NOUN
cana-2344	123	4	𝑺(𝒕	𝑺(𝒕	NOUN
cana-2344	123	5	):	):	PUNCT
cana-2344	123	6	reduces	reduce	VERB
cana-2344	123	7	each	each	PRON
cana-2344	123	8	token	token	VERB
cana-2344	123	9	to	to	ADP
cana-2344	123	10	its	its	PRON
cana-2344	123	11	root	root	NOUN
cana-2344	123	12	form	form	NOUN
cana-2344	123	13	,	,	PUNCT
cana-2344	123	14	ensuring	ensure	VERB
cana-2344	123	15	consistency	consistency	NOUN
cana-2344	123	16	.	.	PUNCT
cana-2344	124	1	•	•	NUM
cana-2344	124	2	pos	pos	NOUN
cana-2344	124	3	tagging	tagging	NOUN
cana-2344	124	4	function	function	NOUN
cana-2344	124	5	𝑷(𝒕	𝑷(𝒕	PUNCT
cana-2344	124	6	):	):	PUNCT
cana-2344	124	7	maps	map	NOUN
cana-2344	124	8	each	each	PRON
cana-2344	124	9	token	token	VERB
cana-2344	124	10	to	to	ADP
cana-2344	124	11	its	its	PRON
cana-2344	124	12	grammatical	grammatical	ADJ
cana-2344	124	13	category	category	NOUN
cana-2344	124	14	.	.	PUNCT
cana-2344	125	1	•	•	NOUN
cana-2344	125	2	ner	ner	NOUN
cana-2344	125	3	function	function	VERB
cana-2344	125	4	𝑵(𝒕	𝑵(𝒕	PROPN
cana-2344	125	5	):	):	PUNCT
cana-2344	125	6	identifies	identify	VERB
cana-2344	125	7	entities	entity	NOUN
cana-2344	125	8	within	within	ADP
cana-2344	125	9	the	the	DET
cana-2344	125	10	token	token	ADJ
cana-2344	125	11	set	set	NOUN
cana-2344	125	12	.	.	PUNCT
cana-2344	126	1	the	the	DET
cana-2344	126	2	transformed	transform	VERB
cana-2344	126	3	text	text	NOUN
cana-2344	126	4	set	set	VERB
cana-2344	126	5	𝑇′	𝑇′	NOUN
cana-2344	126	6	=	=	SYM
cana-2344	126	7	𝑃(𝑁(𝑆(𝐶(𝑇	𝑃(𝑁(𝑆(𝐶(𝑇	NOUN
cana-2344	126	8	)	)	PUNCT
cana-2344	126	9	)	)	PUNCT
cana-2344	126	10	)	)	PUNCT
cana-2344	126	11	)	)	PUNCT
cana-2344	127	1	is	be	AUX
cana-2344	127	2	then	then	ADV
cana-2344	127	3	used	use	VERB
cana-2344	127	4	for	for	ADP
cana-2344	127	5	further	further	ADJ
cana-2344	127	6	analysis	analysis	NOUN
cana-2344	127	7	and	and	CCONJ
cana-2344	127	8	feature	feature	NOUN
cana-2344	127	9	extraction	extraction	NOUN
cana-2344	127	10	.	.	PUNCT
cana-2344	128	1	algoritham	algoritham	ADV
cana-2344	128	2	1	1	NUM
cana-2344	128	3	:	:	PUNCT
cana-2344	128	4	data	datum	NOUN
cana-2344	128	5	preprocessing	preprocesse	VERB
cana-2344	128	6	1	1	NUM
cana-2344	128	7	.	.	PUNCT
cana-2344	128	8	input	input	NOUN
cana-2344	128	9	text	text	NOUN
cana-2344	128	10	data	datum	NOUN
cana-2344	128	11	:	:	PUNCT
cana-2344	128	12	start	start	VERB
cana-2344	128	13	with	with	ADP
cana-2344	128	14	the	the	DET
cana-2344	128	15	raw	raw	ADJ
cana-2344	128	16	input	input	NOUN
cana-2344	128	17	text	text	NOUN
cana-2344	128	18	.	.	PUNCT
cana-2344	129	1	2	2	X
cana-2344	129	2	.	.	X
cana-2344	129	3	clean	clean	ADJ
cana-2344	129	4	text	text	NOUN
cana-2344	129	5	:	:	PUNCT
cana-2344	129	6	apply	apply	VERB
cana-2344	129	7	the	the	DET
cana-2344	129	8	cleaning	clean	VERB
cana-2344	129	9	function	function	NOUN
cana-2344	129	10	to	to	PART
cana-2344	129	11	remove	remove	VERB
cana-2344	129	12	punctuation	punctuation	NOUN
cana-2344	129	13	,	,	PUNCT
cana-2344	129	14	convert	convert	VERB
cana-2344	129	15	to	to	PART
cana-2344	129	16	lowercase	lowercase	VERB
cana-2344	129	17	,	,	PUNCT
cana-2344	129	18	and	and	CCONJ
cana-2344	129	19	strip	strip	VERB
cana-2344	129	20	unnecessary	unnecessary	ADJ
cana-2344	129	21	symbols	symbol	NOUN
cana-2344	129	22	.	.	PUNCT
cana-2344	130	1	3	3	X
cana-2344	130	2	.	.	X
cana-2344	130	3	tokenize	tokenize	NOUN
cana-2344	130	4	:	:	PUNCT
cana-2344	130	5	split	split	VERB
cana-2344	130	6	the	the	DET
cana-2344	130	7	cleaned	clean	VERB
cana-2344	130	8	text	text	NOUN
cana-2344	130	9	into	into	ADP
cana-2344	130	10	individual	individual	ADJ
cana-2344	130	11	tokens	token	NOUN
cana-2344	130	12	(	(	PUNCT
cana-2344	130	13	words	word	NOUN
cana-2344	130	14	or	or	CCONJ
cana-2344	130	15	phrases	phrase	NOUN
cana-2344	130	16	)	)	PUNCT
cana-2344	130	17	.	.	PUNCT
cana-2344	131	1	4	4	X
cana-2344	131	2	.	.	NOUN
cana-2344	131	3	apply	apply	VERB
cana-2344	131	4	stemming	stemming	NOUN
cana-2344	131	5	and	and	CCONJ
cana-2344	131	6	lemmatization	lemmatization	NOUN
cana-2344	131	7	:	:	PUNCT
cana-2344	131	8	reduce	reduce	VERB
cana-2344	131	9	tokens	token	NOUN
cana-2344	131	10	to	to	ADP
cana-2344	131	11	their	their	PRON
cana-2344	131	12	base	base	NOUN
cana-2344	131	13	or	or	CCONJ
cana-2344	131	14	root	root	NOUN
cana-2344	131	15	forms	form	NOUN
cana-2344	131	16	.	.	PUNCT
cana-2344	132	1	5	5	X
cana-2344	132	2	.	.	X
cana-2344	132	3	pos	pos	NOUN
cana-2344	132	4	tagging	tagging	NOUN
cana-2344	132	5	:	:	PUNCT
cana-2344	132	6	tag	tag	NOUN
cana-2344	132	7	each	each	PRON
cana-2344	132	8	token	token	VERB
cana-2344	132	9	with	with	ADP
cana-2344	132	10	its	its	PRON
cana-2344	132	11	grammatical	grammatical	ADJ
cana-2344	132	12	role	role	NOUN
cana-2344	132	13	to	to	PART
cana-2344	132	14	identify	identify	VERB
cana-2344	132	15	key	key	ADJ
cana-2344	132	16	parts	part	NOUN
cana-2344	132	17	of	of	ADP
cana-2344	132	18	speech	speech	NOUN
cana-2344	132	19	.	.	PUNCT
cana-2344	133	1	6	6	NUM
cana-2344	133	2	.	.	NUM
cana-2344	133	3	named	name	VERB
cana-2344	133	4	entity	entity	NOUN
cana-2344	133	5	recognition	recognition	NOUN
cana-2344	133	6	:	:	PUNCT
cana-2344	133	7	detect	detect	VERB
cana-2344	133	8	and	and	CCONJ
cana-2344	133	9	label	label	NOUN
cana-2344	133	10	entities	entity	NOUN
cana-2344	133	11	like	like	ADP
cana-2344	133	12	names	name	NOUN
cana-2344	133	13	,	,	PUNCT
cana-2344	133	14	dates	date	NOUN
cana-2344	133	15	,	,	PUNCT
cana-2344	133	16	and	and	CCONJ
cana-2344	133	17	locations	location	NOUN
cana-2344	133	18	.	.	PUNCT
cana-2344	134	1	7	7	X
cana-2344	134	2	.	.	X
cana-2344	134	3	extract	extract	VERB
cana-2344	134	4	n	n	NOUN
cana-2344	134	5	-	-	PUNCT
cana-2344	134	6	grams	gram	NOUN
cana-2344	134	7	:	:	PUNCT
cana-2344	134	8	generate	generate	VERB
cana-2344	134	9	n	n	PRON
cana-2344	134	10	-	-	PUNCT
cana-2344	134	11	grams	gram	NOUN
cana-2344	134	12	from	from	ADP
cana-2344	134	13	tokens	token	NOUN
cana-2344	134	14	to	to	PART
cana-2344	134	15	capture	capture	VERB
cana-2344	134	16	contextual	contextual	ADJ
cana-2344	134	17	relationships	relationship	NOUN
cana-2344	134	18	.	.	PUNCT
cana-2344	135	1	8	8	X
cana-2344	135	2	.	.	X
cana-2344	135	3	output	output	NOUN
cana-2344	135	4	preprocessed	preprocesse	VERB
cana-2344	135	5	data	datum	NOUN
cana-2344	135	6	:	:	PUNCT
cana-2344	135	7	the	the	DET
cana-2344	135	8	processed	process	VERB
cana-2344	135	9	data	data	NOUN
cana-2344	135	10	is	be	AUX
cana-2344	135	11	now	now	ADV
cana-2344	135	12	ready	ready	ADJ
cana-2344	135	13	for	for	ADP
cana-2344	135	14	feature	feature	NOUN
cana-2344	135	15	extraction	extraction	NOUN
cana-2344	135	16	and	and	CCONJ
cana-2344	135	17	optimization	optimization	NOUN
cana-2344	135	18	steps	step	NOUN
cana-2344	135	19	.	.	PUNCT
cana-2344	136	1	this	this	DET
cana-2344	136	2	preprocessing	preprocessing	NOUN
cana-2344	136	3	module	module	NOUN
cana-2344	136	4	efficiently	efficiently	ADV
cana-2344	136	5	prepares	prepare	VERB
cana-2344	136	6	the	the	DET
cana-2344	136	7	text	text	NOUN
cana-2344	136	8	data	datum	NOUN
cana-2344	136	9	,	,	PUNCT
cana-2344	136	10	enhancing	enhance	VERB
cana-2344	136	11	the	the	DET
cana-2344	136	12	quality	quality	NOUN
cana-2344	136	13	and	and	CCONJ
cana-2344	136	14	relevance	relevance	NOUN
cana-2344	136	15	of	of	ADP
cana-2344	136	16	features	feature	NOUN
cana-2344	136	17	used	use	VERB
cana-2344	136	18	in	in	ADP
cana-2344	136	19	sentiment	sentiment	NOUN
cana-2344	136	20	classification	classification	NOUN
cana-2344	136	21	.	.	PUNCT
cana-2344	137	1	by	by	ADP
cana-2344	137	2	focusing	focus	VERB
cana-2344	137	3	on	on	ADP
cana-2344	137	4	key	key	ADJ
cana-2344	137	5	linguistic	linguistic	ADJ
cana-2344	137	6	elements	element	NOUN
cana-2344	137	7	and	and	CCONJ
cana-2344	137	8	context	context	NOUN
cana-2344	137	9	,	,	PUNCT
cana-2344	137	10	the	the	DET
cana-2344	137	11	module	module	NOUN
cana-2344	137	12	lays	lay	VERB
cana-2344	137	13	a	a	DET
cana-2344	137	14	critical	critical	ADJ
cana-2344	137	15	foundation	foundation	NOUN
cana-2344	137	16	for	for	ADP
cana-2344	137	17	the	the	DET
cana-2344	137	18	advanced	advanced	ADJ
cana-2344	137	19	analysis	analysis	NOUN
cana-2344	137	20	performed	perform	VERB
cana-2344	137	21	in	in	ADP
cana-2344	137	22	later	later	ADJ
cana-2344	137	23	stages	stage	NOUN
cana-2344	137	24	of	of	ADP
cana-2344	137	25	the	the	DET
cana-2344	137	26	architecture	architecture	NOUN
cana-2344	137	27	.	.	PUNCT
cana-2344	138	1	3.3	3.3	NUM
cana-2344	138	2	lexicon	lexicon	NOUN
cana-2344	138	3	and	and	CCONJ
cana-2344	138	4	phrase	phrase	NOUN
cana-2344	138	5	extraction	extraction	NOUN
cana-2344	138	6	module	module	NOUN
cana-2344	138	7	the	the	DET
cana-2344	138	8	lexicon	lexicon	NOUN
cana-2344	138	9	and	and	CCONJ
cana-2344	138	10	phrase	phrase	NOUN
cana-2344	138	11	extraction	extraction	NOUN
cana-2344	138	12	module	module	NOUN
cana-2344	138	13	identifies	identify	VERB
cana-2344	138	14	key	key	ADJ
cana-2344	138	15	words	word	NOUN
cana-2344	138	16	and	and	CCONJ
cana-2344	138	17	phrases	phrase	NOUN
cana-2344	138	18	that	that	PRON
cana-2344	138	19	convey	convey	VERB
cana-2344	138	20	sentiment	sentiment	NOUN
cana-2344	138	21	within	within	ADP
cana-2344	138	22	the	the	DET
cana-2344	138	23	text	text	NOUN
cana-2344	138	24	.	.	PUNCT
cana-2344	139	1	by	by	ADP
cana-2344	139	2	linking	link	VERB
cana-2344	139	3	extracted	extract	VERB
cana-2344	139	4	phrases	phrase	NOUN
cana-2344	139	5	with	with	ADP
cana-2344	139	6	predefined	predefine	VERB
cana-2344	139	7	sentiment	sentiment	NOUN
cana-2344	139	8	lexicons	lexicon	NOUN
cana-2344	139	9	,	,	PUNCT
cana-2344	139	10	this	this	DET
cana-2344	139	11	module	module	NOUN
cana-2344	139	12	enhances	enhance	VERB
cana-2344	139	13	the	the	DET
cana-2344	139	14	accuracy	accuracy	NOUN
cana-2344	139	15	of	of	ADP
cana-2344	139	16	sentiment	sentiment	NOUN
cana-2344	139	17	analysis	analysis	NOUN
cana-2344	139	18	by	by	ADP
cana-2344	139	19	capturing	capture	VERB
cana-2344	139	20	the	the	DET
cana-2344	139	21	context	context	NOUN
cana-2344	139	22	and	and	CCONJ
cana-2344	139	23	polarity	polarity	NOUN
cana-2344	139	24	of	of	ADP
cana-2344	139	25	expressions	expression	NOUN
cana-2344	139	26	.	.	PUNCT
cana-2344	140	1	this	this	DET
cana-2344	140	2	module	module	NOUN
cana-2344	140	3	processes	process	VERB
cana-2344	140	4	the	the	DET
cana-2344	140	5	preprocessed	preprocesse	VERB
cana-2344	140	6	text	text	NOUN
cana-2344	140	7	data	datum	NOUN
cana-2344	140	8	to	to	PART
cana-2344	140	9	extract	extract	VERB
cana-2344	140	10	meaningful	meaningful	ADJ
cana-2344	140	11	phrases	phrase	NOUN
cana-2344	140	12	and	and	CCONJ
cana-2344	140	13	link	link	VERB
cana-2344	140	14	them	they	PRON
cana-2344	140	15	with	with	ADP
cana-2344	140	16	sentiment	sentiment	NOUN
cana-2344	140	17	lexicons	lexicon	NOUN
cana-2344	140	18	.	.	PUNCT
cana-2344	141	1	it	it	PRON
cana-2344	141	2	identifies	identify	VERB
cana-2344	141	3	words	word	NOUN
cana-2344	141	4	and	and	CCONJ
cana-2344	141	5	combinations	combination	NOUN
cana-2344	141	6	of	of	ADP
cana-2344	141	7	words	word	NOUN
cana-2344	141	8	that	that	PRON
cana-2344	141	9	express	express	VERB
cana-2344	141	10	emotions	emotion	NOUN
cana-2344	141	11	,	,	PUNCT
cana-2344	141	12	categorizing	categorize	VERB
cana-2344	141	13	them	they	PRON
cana-2344	141	14	as	as	ADP
cana-2344	141	15	positive	positive	ADJ
cana-2344	141	16	,	,	PUNCT
cana-2344	141	17	negative	negative	ADJ
cana-2344	141	18	,	,	PUNCT
cana-2344	141	19	or	or	CCONJ
cana-2344	141	20	neutral	neutral	ADJ
cana-2344	141	21	based	base	VERB
cana-2344	141	22	on	on	ADP
cana-2344	141	23	the	the	DET
cana-2344	141	24	lexicons	lexicon	NOUN
cana-2344	141	25	.	.	PUNCT
cana-2344	142	1	this	this	DET
cana-2344	142	2	step	step	NOUN
cana-2344	142	3	is	be	AUX
cana-2344	142	4	crucial	crucial	ADJ
cana-2344	142	5	for	for	ADP
cana-2344	142	6	refining	refine	VERB
cana-2344	142	7	the	the	DET
cana-2344	142	8	feature	feature	NOUN
cana-2344	142	9	set	set	NOUN
cana-2344	142	10	,	,	PUNCT
cana-2344	142	11	as	as	SCONJ
cana-2344	142	12	it	it	PRON
cana-2344	142	13	ensures	ensure	VERB
cana-2344	142	14	that	that	SCONJ
cana-2344	142	15	only	only	ADV
cana-2344	142	16	relevant	relevant	ADJ
cana-2344	142	17	and	and	CCONJ
cana-2344	142	18	contextually	contextually	ADV
cana-2344	142	19	appropriate	appropriate	ADJ
cana-2344	142	20	features	feature	NOUN
cana-2344	142	21	are	be	AUX
cana-2344	142	22	used	use	VERB
cana-2344	142	23	in	in	ADP
cana-2344	142	24	sentiment	sentiment	NOUN
cana-2344	142	25	classification	classification	NOUN
cana-2344	142	26	.	.	PUNCT
cana-2344	143	1	communications	communication	NOUN
cana-2344	143	2	on	on	ADP
cana-2344	143	3	applied	apply	VERB
cana-2344	143	4	nonlinear	nonlinear	ADJ
cana-2344	143	5	analysis	analysis	NOUN
cana-2344	143	6	issn	issn	NOUN
cana-2344	143	7	:	:	PUNCT
cana-2344	143	8	1074	1074	NUM
cana-2344	143	9	-	-	PUNCT
cana-2344	143	10	133x	133x	NUM
cana-2344	143	11	vol	vol	NOUN
cana-2344	143	12	32	32	NUM
cana-2344	143	13	no	no	NOUN
cana-2344	143	14	.	.	PUNCT
cana-2344	144	1	1s	1s	NUM
cana-2344	144	2	(	(	PUNCT
cana-2344	144	3	2025	2025	NUM
cana-2344	144	4	)	)	PUNCT
cana-2344	144	5	562	562	NUM
cana-2344	144	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2344	144	7	sentiment	sentiment	NOUN
cana-2344	144	8	lexicons	lexicon	NOUN
cana-2344	144	9	are	be	AUX
cana-2344	144	10	collections	collection	NOUN
cana-2344	144	11	of	of	ADP
cana-2344	144	12	words	word	NOUN
cana-2344	144	13	and	and	CCONJ
cana-2344	144	14	phrases	phrase	NOUN
cana-2344	144	15	that	that	PRON
cana-2344	144	16	are	be	AUX
cana-2344	144	17	pre	pre	ADJ
cana-2344	144	18	-	-	VERB
cana-2344	144	19	labeled	label	VERB
cana-2344	144	20	with	with	ADP
cana-2344	144	21	their	their	PRON
cana-2344	144	22	associated	associated	ADJ
cana-2344	144	23	sentiment	sentiment	NOUN
cana-2344	144	24	.	.	PUNCT
cana-2344	145	1	this	this	DET
cana-2344	145	2	module	module	NOUN
cana-2344	145	3	integrates	integrate	VERB
cana-2344	145	4	lexicons	lexicon	NOUN
cana-2344	145	5	such	such	ADJ
cana-2344	145	6	as	as	ADP
cana-2344	145	7	positive	positive	ADJ
cana-2344	145	8	words	word	NOUN
cana-2344	145	9	(	(	PUNCT
cana-2344	145	10	e.g.	e.g.	ADV
cana-2344	145	11	,	,	PUNCT
cana-2344	145	12	“	"	PUNCT
cana-2344	145	13	good	good	ADJ
cana-2344	145	14	,	,	PUNCT
cana-2344	145	15	”	"	PUNCT
cana-2344	145	16	“	"	PUNCT
cana-2344	145	17	excellent	excellent	ADJ
cana-2344	145	18	”	"	PUNCT
cana-2344	145	19	)	)	PUNCT
cana-2344	145	20	and	and	CCONJ
cana-2344	145	21	negative	negative	ADJ
cana-2344	145	22	words	word	NOUN
cana-2344	145	23	(	(	PUNCT
cana-2344	145	24	e.g.	e.g.	ADV
cana-2344	145	25	,	,	PUNCT
cana-2344	145	26	“	"	PUNCT
cana-2344	145	27	bad	bad	ADJ
cana-2344	145	28	,	,	PUNCT
cana-2344	145	29	”	"	PUNCT
cana-2344	145	30	“	"	PUNCT
cana-2344	145	31	poor	poor	ADJ
cana-2344	145	32	”	"	PUNCT
cana-2344	145	33	)	)	PUNCT
cana-2344	145	34	into	into	ADP
cana-2344	145	35	the	the	DET
cana-2344	145	36	feature	feature	NOUN
cana-2344	145	37	extraction	extraction	NOUN
cana-2344	145	38	process	process	NOUN
cana-2344	145	39	.	.	PUNCT
cana-2344	146	1	each	each	DET
cana-2344	146	2	word	word	NOUN
cana-2344	146	3	or	or	CCONJ
cana-2344	146	4	phrase	phrase	NOUN
cana-2344	146	5	in	in	ADP
cana-2344	146	6	the	the	DET
cana-2344	146	7	text	text	NOUN
cana-2344	146	8	is	be	AUX
cana-2344	146	9	matched	match	VERB
cana-2344	146	10	against	against	ADP
cana-2344	146	11	these	these	DET
cana-2344	146	12	lexicons	lexicon	NOUN
cana-2344	146	13	to	to	PART
cana-2344	146	14	determine	determine	VERB
cana-2344	146	15	its	its	PRON
cana-2344	146	16	sentiment	sentiment	NOUN
cana-2344	146	17	polarity	polarity	NOUN
cana-2344	146	18	.	.	PUNCT
cana-2344	147	1	the	the	DET
cana-2344	147	2	lexicon	lexicon	ADJ
cana-2344	147	3	integration	integration	NOUN
cana-2344	147	4	helps	help	VERB
cana-2344	147	5	in	in	ADP
cana-2344	147	6	directly	directly	ADV
cana-2344	147	7	associating	associate	VERB
cana-2344	147	8	the	the	DET
cana-2344	147	9	extracted	extract	VERB
cana-2344	147	10	phrases	phrase	NOUN
cana-2344	147	11	with	with	ADP
cana-2344	147	12	their	their	PRON
cana-2344	147	13	respective	respective	ADJ
cana-2344	147	14	sentiments	sentiment	NOUN
cana-2344	147	15	,	,	PUNCT
cana-2344	147	16	providing	provide	VERB
cana-2344	147	17	a	a	DET
cana-2344	147	18	clear	clear	ADJ
cana-2344	147	19	sentiment	sentiment	NOUN
cana-2344	147	20	signal	signal	VERB
cana-2344	147	21	that	that	SCONJ
cana-2344	147	22	simplifies	simplify	VERB
cana-2344	147	23	the	the	DET
cana-2344	147	24	feature	feature	NOUN
cana-2344	147	25	selection	selection	NOUN
cana-2344	147	26	process	process	NOUN
cana-2344	147	27	.	.	PUNCT
cana-2344	148	1	custom	custom	NOUN
cana-2344	148	2	sentiment	sentiment	NOUN
cana-2344	148	3	lexicons	lexicon	NOUN
cana-2344	148	4	can	can	AUX
cana-2344	148	5	also	also	ADV
cana-2344	148	6	be	be	AUX
cana-2344	148	7	incorporated	incorporate	VERB
cana-2344	148	8	to	to	PART
cana-2344	148	9	adapt	adapt	VERB
cana-2344	148	10	the	the	DET
cana-2344	148	11	system	system	NOUN
cana-2344	148	12	to	to	ADP
cana-2344	148	13	domain	domain	VERB
cana-2344	148	14	-	-	PUNCT
cana-2344	148	15	specific	specific	ADJ
cana-2344	148	16	language	language	NOUN
cana-2344	148	17	and	and	CCONJ
cana-2344	148	18	expressions	expression	NOUN
cana-2344	148	19	.	.	PUNCT
cana-2344	149	1	n	n	CCONJ
cana-2344	149	2	-	-	PUNCT
cana-2344	149	3	gram	gram	NOUN
cana-2344	149	4	extraction	extraction	NOUN
cana-2344	149	5	extends	extend	VERB
cana-2344	149	6	the	the	DET
cana-2344	149	7	analysis	analysis	NOUN
cana-2344	149	8	beyond	beyond	ADP
cana-2344	149	9	single	single	ADJ
cana-2344	149	10	words	word	NOUN
cana-2344	149	11	,	,	PUNCT
cana-2344	149	12	capturing	capture	VERB
cana-2344	149	13	phrases	phrase	NOUN
cana-2344	149	14	that	that	PRON
cana-2344	149	15	provide	provide	VERB
cana-2344	149	16	context	context	NOUN
cana-2344	149	17	and	and	CCONJ
cana-2344	149	18	improve	improve	VERB
cana-2344	149	19	sentiment	sentiment	NOUN
cana-2344	149	20	detection	detection	NOUN
cana-2344	149	21	.	.	PUNCT
cana-2344	150	1	bigrams	bigram	NOUN
cana-2344	150	2	and	and	CCONJ
cana-2344	150	3	trigrams	trigram	NOUN
cana-2344	150	4	are	be	AUX
cana-2344	150	5	commonly	commonly	ADV
cana-2344	150	6	used	use	VERB
cana-2344	150	7	to	to	PART
cana-2344	150	8	identify	identify	VERB
cana-2344	150	9	combinations	combination	NOUN
cana-2344	150	10	of	of	ADP
cana-2344	150	11	words	word	NOUN
cana-2344	150	12	that	that	PRON
cana-2344	150	13	carry	carry	VERB
cana-2344	150	14	specific	specific	ADJ
cana-2344	150	15	emotional	emotional	ADJ
cana-2344	150	16	tones	tone	NOUN
cana-2344	150	17	,	,	PUNCT
cana-2344	150	18	such	such	ADJ
cana-2344	150	19	as	as	ADP
cana-2344	150	20	“	"	PUNCT
cana-2344	150	21	not	not	PART
cana-2344	150	22	good	good	ADJ
cana-2344	150	23	”	"	PUNCT
cana-2344	150	24	or	or	CCONJ
cana-2344	150	25	“	"	PUNCT
cana-2344	150	26	very	very	ADV
cana-2344	150	27	happy	happy	ADJ
cana-2344	150	28	.	.	PUNCT
cana-2344	150	29	”	"	PUNCT
cana-2344	151	1	this	this	DET
cana-2344	151	2	module	module	NOUN
cana-2344	151	3	focuses	focus	VERB
cana-2344	151	4	on	on	ADP
cana-2344	151	5	extracting	extract	VERB
cana-2344	151	6	these	these	DET
cana-2344	151	7	multi	multi	ADJ
cana-2344	151	8	-	-	ADJ
cana-2344	151	9	word	word	ADJ
cana-2344	151	10	expressions	expression	NOUN
cana-2344	151	11	to	to	PART
cana-2344	151	12	refine	refine	VERB
cana-2344	151	13	the	the	DET
cana-2344	151	14	understanding	understanding	NOUN
cana-2344	151	15	of	of	ADP
cana-2344	151	16	sentiment	sentiment	NOUN
cana-2344	151	17	in	in	ADP
cana-2344	151	18	context	context	NOUN
cana-2344	151	19	.	.	PUNCT
cana-2344	152	1	n	n	CCONJ
cana-2344	152	2	-	-	PUNCT
cana-2344	152	3	grams	gram	NOUN
cana-2344	152	4	help	help	NOUN
cana-2344	152	5	identify	identify	VERB
cana-2344	152	6	subtle	subtle	ADJ
cana-2344	152	7	variations	variation	NOUN
cana-2344	152	8	in	in	ADP
cana-2344	152	9	sentiment	sentiment	NOUN
cana-2344	152	10	that	that	PRON
cana-2344	152	11	single	single	ADJ
cana-2344	152	12	words	word	NOUN
cana-2344	152	13	might	might	AUX
cana-2344	152	14	miss	miss	VERB
cana-2344	152	15	,	,	PUNCT
cana-2344	152	16	enhancing	enhance	VERB
cana-2344	152	17	the	the	DET
cana-2344	152	18	precision	precision	NOUN
cana-2344	152	19	of	of	ADP
cana-2344	152	20	the	the	DET
cana-2344	152	21	feature	feature	NOUN
cana-2344	152	22	set	set	NOUN
cana-2344	152	23	.	.	PUNCT
cana-2344	153	1	the	the	DET
cana-2344	153	2	system	system	NOUN
cana-2344	153	3	generates	generate	VERB
cana-2344	153	4	and	and	CCONJ
cana-2344	153	5	evaluates	evaluate	NOUN
cana-2344	153	6	n	n	CCONJ
cana-2344	153	7	-	-	PUNCT
cana-2344	153	8	grams	gram	NOUN
cana-2344	153	9	dynamically	dynamically	ADV
cana-2344	153	10	,	,	PUNCT
cana-2344	153	11	ensuring	ensure	VERB
cana-2344	153	12	that	that	SCONJ
cana-2344	153	13	the	the	DET
cana-2344	153	14	most	most	ADV
cana-2344	153	15	relevant	relevant	ADJ
cana-2344	153	16	and	and	CCONJ
cana-2344	153	17	sentiment	sentiment	NOUN
cana-2344	153	18	-	-	PUNCT
cana-2344	153	19	rich	rich	ADJ
cana-2344	153	20	phrases	phrase	NOUN
cana-2344	153	21	are	be	AUX
cana-2344	153	22	selected	select	VERB
cana-2344	153	23	for	for	ADP
cana-2344	153	24	further	further	ADJ
cana-2344	153	25	processing	processing	NOUN
cana-2344	153	26	.	.	PUNCT
cana-2344	154	1	let	let	VERB
cana-2344	154	2	𝐿	𝐿	PROPN
cana-2344	154	3	=	=	SYM
cana-2344	154	4	{	{	PUNCT
cana-2344	154	5	𝑙1	𝑙1	PROPN
cana-2344	154	6	,	,	PUNCT
cana-2344	154	7	𝑙2	𝑙2	PROPN
cana-2344	154	8	,	,	PUNCT
cana-2344	154	9	.	.	PUNCT
cana-2344	154	10	.	.	PUNCT
cana-2344	155	1	.	.	PUNCT
cana-2344	156	1	,	,	PUNCT
cana-2344	156	2	𝑙𝑚	𝑙𝑚	AUX
cana-2344	156	3	}	}	PUNCT
cana-2344	156	4	represent	represent	VERB
cana-2344	156	5	the	the	DET
cana-2344	156	6	set	set	NOUN
cana-2344	156	7	of	of	ADP
cana-2344	156	8	sentiment	sentiment	NOUN
cana-2344	156	9	lexicon	lexicon	NOUN
cana-2344	156	10	entries	entry	NOUN
cana-2344	156	11	,	,	PUNCT
cana-2344	156	12	where	where	SCONJ
cana-2344	156	13	each	each	PRON
cana-2344	156	14	𝑙𝑖	𝑙𝑖	NOUN
cana-2344	156	15	is	be	AUX
cana-2344	156	16	tagged	tag	VERB
cana-2344	156	17	as	as	ADP
cana-2344	156	18	positive	positive	ADJ
cana-2344	156	19	,	,	PUNCT
cana-2344	156	20	negative	negative	ADJ
cana-2344	156	21	,	,	PUNCT
cana-2344	156	22	or	or	CCONJ
cana-2344	156	23	neutral	neutral	ADJ
cana-2344	156	24	.	.	PUNCT
cana-2344	157	1	the	the	DET
cana-2344	157	2	phrase	phrase	NOUN
cana-2344	157	3	set	set	VERB
cana-2344	157	4	𝑃	𝑃	NOUN
cana-2344	157	5	=	=	SYM
cana-2344	157	6	{	{	PUNCT
cana-2344	157	7	𝑝1	𝑝1	NOUN
cana-2344	157	8	,	,	PUNCT
cana-2344	157	9	𝑝2	𝑝2	NOUN
cana-2344	157	10	,	,	PUNCT
cana-2344	157	11	.	.	PUNCT
cana-2344	157	12	.	.	PUNCT
cana-2344	158	1	.	.	PUNCT
cana-2344	159	1	,	,	PUNCT
cana-2344	159	2	𝑝𝑘	𝑝𝑘	ADP
cana-2344	159	3	}	}	PUNCT
cana-2344	159	4	contains	contain	VERB
cana-2344	159	5	n	n	PRON
cana-2344	159	6	-	-	PUNCT
cana-2344	159	7	grams	gram	NOUN
cana-2344	159	8	extracted	extract	VERB
cana-2344	159	9	from	from	ADP
cana-2344	159	10	the	the	DET
cana-2344	159	11	preprocessed	preprocesse	VERB
cana-2344	159	12	text	text	NOUN
cana-2344	159	13	.	.	PUNCT
cana-2344	160	1	•	•	NUM
cana-2344	160	2	lexicon	lexicon	NOUN
cana-2344	160	3	matching	matching	NOUN
cana-2344	160	4	function	function	NOUN
cana-2344	160	5	𝑀(𝑝	𝑀(𝑝	PROPN
cana-2344	160	6	,	,	PUNCT
cana-2344	160	7	𝐿	𝐿	PROPN
cana-2344	160	8	):	):	PUNCT
cana-2344	160	9	matches	match	NOUN
cana-2344	160	10	each	each	DET
cana-2344	160	11	phrase	phrase	NOUN
cana-2344	160	12	𝑝𝑗	𝑝𝑗	NOUN
cana-2344	160	13	in	in	ADP
cana-2344	160	14	𝑃	𝑃	NOUN
cana-2344	160	15	with	with	ADP
cana-2344	160	16	corresponding	corresponding	ADJ
cana-2344	160	17	lexicon	lexicon	ADJ
cana-2344	160	18	entries	entry	NOUN
cana-2344	160	19	in	in	ADP
cana-2344	160	20	𝐿.	𝐿.	PROPN
cana-2344	160	21	if	if	SCONJ
cana-2344	160	22	a	a	DET
cana-2344	160	23	match	match	NOUN
cana-2344	160	24	is	be	AUX
cana-2344	160	25	found	find	VERB
cana-2344	160	26	,	,	PUNCT
cana-2344	160	27	the	the	DET
cana-2344	160	28	phrase	phrase	NOUN
cana-2344	160	29	is	be	AUX
cana-2344	160	30	assigned	assign	VERB
cana-2344	160	31	the	the	DET
cana-2344	160	32	sentiment	sentiment	NOUN
cana-2344	160	33	of	of	ADP
cana-2344	160	34	the	the	DET
cana-2344	160	35	lexicon	lexicon	ADJ
cana-2344	160	36	entry	entry	NOUN
cana-2344	160	37	.	.	PUNCT
cana-2344	161	1	•	•	NOUN
cana-2344	161	2	sentiment	sentiment	NOUN
cana-2344	161	3	scoring	score	VERB
cana-2344	161	4	function	function	NOUN
cana-2344	161	5	𝑆(𝑝	𝑆(𝑝	NOUN
cana-2344	161	6	):	):	PUNCT
cana-2344	161	7	calculates	calculate	VERB
cana-2344	161	8	the	the	DET
cana-2344	161	9	sentiment	sentiment	NOUN
cana-2344	161	10	score	score	VERB
cana-2344	161	11	for	for	ADP
cana-2344	161	12	each	each	DET
cana-2344	161	13	phrase	phrase	NOUN
cana-2344	161	14	based	base	VERB
cana-2344	161	15	on	on	ADP
cana-2344	161	16	its	its	PRON
cana-2344	161	17	presence	presence	NOUN
cana-2344	161	18	in	in	ADP
cana-2344	161	19	the	the	DET
cana-2344	161	20	lexicon	lexicon	NOUN
cana-2344	161	21	.	.	PUNCT
cana-2344	162	1	if	if	SCONJ
cana-2344	162	2	𝑝𝑗	𝑝𝑗	PROPN
cana-2344	162	3	is	be	AUX
cana-2344	162	4	matched	match	VERB
cana-2344	162	5	to	to	ADP
cana-2344	162	6	a	a	DET
cana-2344	162	7	positive	positive	ADJ
cana-2344	162	8	lexicon	lexicon	NOUN
cana-2344	162	9	entry	entry	NOUN
cana-2344	162	10	,	,	PUNCT
cana-2344	162	11	it	it	PRON
cana-2344	162	12	receives	receive	VERB
cana-2344	162	13	a	a	DET
cana-2344	162	14	positive	positive	ADJ
cana-2344	162	15	score	score	NOUN
cana-2344	162	16	,	,	PUNCT
cana-2344	162	17	and	and	CCONJ
cana-2344	162	18	similarly	similarly	ADV
cana-2344	162	19	for	for	ADP
cana-2344	162	20	negative	negative	ADJ
cana-2344	162	21	and	and	CCONJ
cana-2344	162	22	neutral	neutral	ADJ
cana-2344	162	23	entries	entry	NOUN
cana-2344	162	24	.	.	PUNCT
cana-2344	163	1	the	the	DET
cana-2344	163	2	extracted	extract	VERB
cana-2344	163	3	and	and	CCONJ
cana-2344	163	4	scored	score	VERB
cana-2344	163	5	set	set	VERB
cana-2344	163	6	𝑃′	𝑃′	NOUN
cana-2344	163	7	=	=	SYM
cana-2344	163	8	{	{	PUNCT
cana-2344	163	9	𝑀(𝑝1	𝑀(𝑝1	X
cana-2344	163	10	,	,	PUNCT
cana-2344	163	11	𝐿),𝑀(𝑝2	𝐿),𝑀(𝑝2	ADJ
cana-2344	163	12	,	,	PUNCT
cana-2344	163	13	𝐿	𝐿	PROPN
cana-2344	163	14	)	)	PUNCT
cana-2344	163	15	,	,	PUNCT
cana-2344	163	16	.	.	PUNCT
cana-2344	163	17	.	.	PUNCT
cana-2344	163	18	.	.	PUNCT
cana-2344	164	1	,	,	PUNCT
cana-2344	164	2	𝑀(𝑝𝑘	𝑀(𝑝𝑘	PROPN
cana-2344	164	3	,	,	PUNCT
cana-2344	164	4	𝐿	𝐿	PROPN
cana-2344	164	5	)	)	PUNCT
cana-2344	164	6	}	}	PUNCT
cana-2344	164	7	represents	represent	VERB
cana-2344	164	8	the	the	DET
cana-2344	164	9	refined	refined	ADJ
cana-2344	164	10	feature	feature	NOUN
cana-2344	164	11	set	set	NOUN
cana-2344	164	12	,	,	PUNCT
cana-2344	164	13	enriched	enrich	VERB
cana-2344	164	14	with	with	ADP
cana-2344	164	15	sentiment	sentiment	NOUN
cana-2344	164	16	information	information	NOUN
cana-2344	164	17	for	for	ADP
cana-2344	164	18	further	further	ADJ
cana-2344	164	19	analysis	analysis	NOUN
cana-2344	164	20	.	.	PUNCT
cana-2344	165	1	this	this	DET
cana-2344	165	2	module	module	NOUN
cana-2344	165	3	effectively	effectively	ADV
cana-2344	165	4	links	link	VERB
cana-2344	165	5	phrases	phrase	NOUN
cana-2344	165	6	with	with	ADP
cana-2344	165	7	sentiment	sentiment	NOUN
cana-2344	165	8	signals	signal	NOUN
cana-2344	165	9	,	,	PUNCT
cana-2344	165	10	enabling	enable	VERB
cana-2344	165	11	more	more	ADV
cana-2344	165	12	nuanced	nuanced	ADJ
cana-2344	165	13	sentiment	sentiment	NOUN
cana-2344	165	14	detection	detection	NOUN
cana-2344	165	15	and	and	CCONJ
cana-2344	165	16	enhancing	enhance	VERB
cana-2344	165	17	the	the	DET
cana-2344	165	18	overall	overall	ADJ
cana-2344	165	19	performance	performance	NOUN
cana-2344	165	20	of	of	ADP
cana-2344	165	21	the	the	DET
cana-2344	165	22	sentiment	sentiment	NOUN
cana-2344	165	23	analysis	analysis	NOUN
cana-2344	165	24	system	system	NOUN
cana-2344	165	25	.	.	PUNCT
cana-2344	166	1	3.4	3.4	NUM
cana-2344	166	2	feature	feature	NOUN
cana-2344	166	3	optimization	optimization	NOUN
cana-2344	166	4	using	use	VERB
cana-2344	166	5	genetic	genetic	ADJ
cana-2344	166	6	algorithm	algorithm	NOUN
cana-2344	166	7	(	(	PUNCT
cana-2344	166	8	ga	ga	NOUN
cana-2344	166	9	)	)	PUNCT
cana-2344	166	10	feature	feature	NOUN
cana-2344	166	11	optimization	optimization	NOUN
cana-2344	166	12	is	be	AUX
cana-2344	166	13	crucial	crucial	ADJ
cana-2344	166	14	in	in	ADP
cana-2344	166	15	refining	refine	VERB
cana-2344	166	16	the	the	DET
cana-2344	166	17	feature	feature	NOUN
cana-2344	166	18	set	set	VERB
cana-2344	166	19	for	for	ADP
cana-2344	166	20	sentiment	sentiment	NOUN
cana-2344	166	21	analysis	analysis	NOUN
cana-2344	166	22	.	.	PUNCT
cana-2344	167	1	the	the	DET
cana-2344	167	2	genetic	genetic	ADJ
cana-2344	167	3	algorithm	algorithm	NOUN
cana-2344	167	4	(	(	PUNCT
cana-2344	167	5	ga	ga	NOUN
cana-2344	167	6	)	)	PUNCT
cana-2344	167	7	is	be	AUX
cana-2344	167	8	employed	employ	VERB
cana-2344	167	9	to	to	PART
cana-2344	167	10	evolve	evolve	VERB
cana-2344	167	11	and	and	CCONJ
cana-2344	167	12	optimize	optimize	VERB
cana-2344	167	13	features	feature	NOUN
cana-2344	167	14	systematically	systematically	ADV
cana-2344	167	15	,	,	PUNCT
cana-2344	167	16	enhancing	enhance	VERB
cana-2344	167	17	the	the	DET
cana-2344	167	18	model	model	NOUN
cana-2344	167	19	’s	’s	PART
cana-2344	167	20	ability	ability	NOUN
cana-2344	167	21	to	to	PART
cana-2344	167	22	classify	classify	VERB
cana-2344	167	23	sentiments	sentiment	NOUN
cana-2344	167	24	accurately	accurately	ADV
cana-2344	167	25	and	and	CCONJ
cana-2344	167	26	efficiently	efficiently	ADV
cana-2344	167	27	.	.	PUNCT
cana-2344	168	1	this	this	DET
cana-2344	168	2	approach	approach	NOUN
cana-2344	168	3	mimics	mimic	VERB
cana-2344	168	4	natural	natural	ADJ
cana-2344	168	5	selection	selection	NOUN
cana-2344	168	6	to	to	PART
cana-2344	168	7	find	find	VERB
cana-2344	168	8	the	the	DET
cana-2344	168	9	best	good	ADJ
cana-2344	168	10	feature	feature	NOUN
cana-2344	168	11	combinations	combination	NOUN
cana-2344	168	12	,	,	PUNCT
cana-2344	168	13	improving	improve	VERB
cana-2344	168	14	the	the	DET
cana-2344	168	15	overall	overall	ADJ
cana-2344	168	16	performance	performance	NOUN
cana-2344	168	17	of	of	ADP
cana-2344	168	18	the	the	DET
cana-2344	168	19	sentiment	sentiment	NOUN
cana-2344	168	20	analysis	analysis	NOUN
cana-2344	168	21	.	.	PUNCT
cana-2344	169	1	the	the	DET
cana-2344	169	2	ga	ga	PROPN
cana-2344	169	3	optimizes	optimize	VERB
cana-2344	169	4	the	the	DET
cana-2344	169	5	feature	feature	NOUN
cana-2344	169	6	set	set	VERB
cana-2344	169	7	by	by	ADP
cana-2344	169	8	iteratively	iteratively	ADV
cana-2344	169	9	selecting	select	VERB
cana-2344	169	10	,	,	PUNCT
cana-2344	169	11	combining	combine	VERB
cana-2344	169	12	,	,	PUNCT
cana-2344	169	13	and	and	CCONJ
cana-2344	169	14	refining	refining	NOUN
cana-2344	169	15	features	feature	NOUN
cana-2344	169	16	based	base	VERB
cana-2344	169	17	on	on	ADP
cana-2344	169	18	their	their	PRON
cana-2344	169	19	performance	performance	NOUN
cana-2344	169	20	in	in	ADP
cana-2344	169	21	sentiment	sentiment	NOUN
cana-2344	169	22	classification	classification	NOUN
cana-2344	169	23	.	.	PUNCT
cana-2344	170	1	by	by	ADP
cana-2344	170	2	simulating	simulate	VERB
cana-2344	170	3	evolution	evolution	NOUN
cana-2344	170	4	through	through	ADP
cana-2344	170	5	selection	selection	NOUN
cana-2344	170	6	,	,	PUNCT
cana-2344	170	7	crossover	crossover	NOUN
cana-2344	170	8	,	,	PUNCT
cana-2344	170	9	and	and	CCONJ
cana-2344	170	10	mutation	mutation	NOUN
cana-2344	170	11	,	,	PUNCT
cana-2344	170	12	ga	ga	PROPN
cana-2344	170	13	identifies	identify	VERB
cana-2344	170	14	the	the	DET
cana-2344	170	15	most	most	ADV
cana-2344	170	16	relevant	relevant	ADJ
cana-2344	170	17	and	and	CCONJ
cana-2344	170	18	effective	effective	ADJ
cana-2344	170	19	features	feature	NOUN
cana-2344	170	20	.	.	PUNCT
cana-2344	171	1	this	this	DET
cana-2344	171	2	process	process	NOUN
cana-2344	171	3	reduces	reduce	VERB
cana-2344	171	4	redundancy	redundancy	NOUN
cana-2344	171	5	and	and	CCONJ
cana-2344	171	6	noise	noise	NOUN
cana-2344	171	7	in	in	ADP
cana-2344	171	8	the	the	DET
cana-2344	171	9	feature	feature	NOUN
cana-2344	171	10	set	set	NOUN
cana-2344	171	11	,	,	PUNCT
cana-2344	171	12	resulting	result	VERB
cana-2344	171	13	in	in	ADP
cana-2344	171	14	a	a	DET
cana-2344	171	15	more	more	ADV
cana-2344	171	16	precise	precise	ADJ
cana-2344	171	17	and	and	CCONJ
cana-2344	171	18	computationally	computationally	ADV
cana-2344	171	19	efficient	efficient	ADJ
cana-2344	171	20	model	model	NOUN
cana-2344	171	21	.	.	PUNCT
cana-2344	172	1	communications	communication	NOUN
cana-2344	172	2	on	on	ADP
cana-2344	172	3	applied	apply	VERB
cana-2344	172	4	nonlinear	nonlinear	ADJ
cana-2344	172	5	analysis	analysis	NOUN
cana-2344	172	6	issn	issn	NOUN
cana-2344	172	7	:	:	PUNCT
cana-2344	172	8	1074	1074	NUM
cana-2344	172	9	-	-	PUNCT
cana-2344	172	10	133x	133x	NUM
cana-2344	172	11	vol	vol	NOUN
cana-2344	172	12	32	32	NUM
cana-2344	172	13	no	no	NOUN
cana-2344	172	14	.	.	PUNCT
cana-2344	173	1	1s	1s	NUM
cana-2344	173	2	(	(	PUNCT
cana-2344	173	3	2025	2025	NUM
cana-2344	173	4	)	)	PUNCT
cana-2344	173	5	563	563	NUM
cana-2344	173	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2344	174	1	the	the	DET
cana-2344	174	2	initial	initial	ADJ
cana-2344	174	3	population	population	NOUN
cana-2344	174	4	consists	consist	VERB
cana-2344	174	5	of	of	ADP
cana-2344	174	6	a	a	DET
cana-2344	174	7	diverse	diverse	ADJ
cana-2344	174	8	set	set	NOUN
cana-2344	174	9	of	of	ADP
cana-2344	174	10	features	feature	NOUN
cana-2344	174	11	extracted	extract	VERB
cana-2344	174	12	from	from	ADP
cana-2344	174	13	the	the	DET
cana-2344	174	14	text	text	NOUN
cana-2344	174	15	,	,	PUNCT
cana-2344	174	16	including	include	VERB
cana-2344	174	17	individual	individual	ADJ
cana-2344	174	18	words	word	NOUN
cana-2344	174	19	,	,	PUNCT
cana-2344	174	20	phrases	phrase	NOUN
cana-2344	174	21	,	,	PUNCT
cana-2344	174	22	and	and	CCONJ
cana-2344	174	23	n	n	CCONJ
cana-2344	174	24	-	-	PUNCT
cana-2344	174	25	grams	gram	NOUN
cana-2344	174	26	.	.	PUNCT
cana-2344	175	1	these	these	DET
cana-2344	175	2	features	feature	NOUN
cana-2344	175	3	represent	represent	VERB
cana-2344	175	4	potential	potential	ADJ
cana-2344	175	5	solutions	solution	NOUN
cana-2344	175	6	,	,	PUNCT
cana-2344	175	7	with	with	SCONJ
cana-2344	175	8	each	each	DET
cana-2344	175	9	feature	feature	NOUN
cana-2344	175	10	encoded	encode	VERB
cana-2344	175	11	as	as	ADP
cana-2344	175	12	a	a	DET
cana-2344	175	13	candidate	candidate	NOUN
cana-2344	175	14	in	in	ADP
cana-2344	175	15	the	the	DET
cana-2344	175	16	population	population	NOUN
cana-2344	175	17	.	.	PUNCT
cana-2344	176	1	the	the	DET
cana-2344	176	2	initial	initial	ADJ
cana-2344	176	3	population	population	NOUN
cana-2344	176	4	is	be	AUX
cana-2344	176	5	generated	generate	VERB
cana-2344	176	6	randomly	randomly	ADV
cana-2344	176	7	or	or	CCONJ
cana-2344	176	8	by	by	ADP
cana-2344	176	9	selecting	select	VERB
cana-2344	176	10	features	feature	NOUN
cana-2344	176	11	based	base	VERB
cana-2344	176	12	on	on	ADP
cana-2344	176	13	their	their	PRON
cana-2344	176	14	initial	initial	ADJ
cana-2344	176	15	relevance	relevance	NOUN
cana-2344	176	16	to	to	PART
cana-2344	176	17	sentiment	sentiment	VERB
cana-2344	176	18	classification	classification	NOUN
cana-2344	176	19	.	.	PUNCT
cana-2344	177	1	ga	ga	NOUN
cana-2344	177	2	operations	operation	NOUN
cana-2344	177	3	drive	drive	VERB
cana-2344	177	4	the	the	DET
cana-2344	177	5	optimization	optimization	NOUN
cana-2344	177	6	process	process	NOUN
cana-2344	177	7	:	:	PUNCT
cana-2344	177	8	selection	selection	NOUN
cana-2344	177	9	:	:	PUNCT
cana-2344	177	10	features	feature	NOUN
cana-2344	177	11	are	be	AUX
cana-2344	177	12	selected	select	VERB
cana-2344	177	13	based	base	VERB
cana-2344	177	14	on	on	ADP
cana-2344	177	15	their	their	PRON
cana-2344	177	16	fitness	fitness	NOUN
cana-2344	177	17	scores	score	NOUN
cana-2344	177	18	,	,	PUNCT
cana-2344	177	19	which	which	PRON
cana-2344	177	20	measure	measure	VERB
cana-2344	177	21	their	their	PRON
cana-2344	177	22	impact	impact	NOUN
cana-2344	177	23	on	on	ADP
cana-2344	177	24	classification	classification	NOUN
cana-2344	177	25	accuracy	accuracy	NOUN
cana-2344	177	26	.	.	PUNCT
cana-2344	178	1	high	high	ADV
cana-2344	178	2	-	-	PUNCT
cana-2344	178	3	performing	perform	VERB
cana-2344	178	4	features	feature	NOUN
cana-2344	178	5	are	be	AUX
cana-2344	178	6	more	more	ADV
cana-2344	178	7	likely	likely	ADJ
cana-2344	178	8	to	to	PART
cana-2344	178	9	be	be	AUX
cana-2344	178	10	chosen	choose	VERB
cana-2344	178	11	for	for	ADP
cana-2344	178	12	the	the	DET
cana-2344	178	13	next	next	ADJ
cana-2344	178	14	generation	generation	NOUN
cana-2344	178	15	.	.	PUNCT
cana-2344	179	1	crossover	crossover	NOUN
cana-2344	179	2	:	:	PUNCT
cana-2344	179	3	combines	combine	VERB
cana-2344	179	4	pairs	pair	NOUN
cana-2344	179	5	of	of	ADP
cana-2344	179	6	selected	select	VERB
cana-2344	179	7	features	feature	NOUN
cana-2344	179	8	to	to	PART
cana-2344	179	9	create	create	VERB
cana-2344	179	10	new	new	ADJ
cana-2344	179	11	feature	feature	NOUN
cana-2344	179	12	combinations	combination	NOUN
cana-2344	179	13	.	.	PUNCT
cana-2344	180	1	this	this	DET
cana-2344	180	2	operation	operation	NOUN
cana-2344	180	3	allows	allow	VERB
cana-2344	180	4	the	the	DET
cana-2344	180	5	ga	ga	PROPN
cana-2344	180	6	to	to	PART
cana-2344	180	7	explore	explore	VERB
cana-2344	180	8	new	new	ADJ
cana-2344	180	9	solutions	solution	NOUN
cana-2344	180	10	by	by	ADP
cana-2344	180	11	mixing	mix	VERB
cana-2344	180	12	the	the	DET
cana-2344	180	13	characteristics	characteristic	NOUN
cana-2344	180	14	of	of	ADP
cana-2344	180	15	parent	parent	NOUN
cana-2344	180	16	features	feature	NOUN
cana-2344	180	17	.	.	PUNCT
cana-2344	181	1	mutation	mutation	NOUN
cana-2344	181	2	:	:	PUNCT
cana-2344	181	3	introduces	introduce	VERB
cana-2344	181	4	random	random	ADJ
cana-2344	181	5	changes	change	NOUN
cana-2344	181	6	to	to	ADP
cana-2344	181	7	features	feature	NOUN
cana-2344	181	8	,	,	PUNCT
cana-2344	181	9	helping	help	VERB
cana-2344	181	10	to	to	PART
cana-2344	181	11	maintain	maintain	VERB
cana-2344	181	12	diversity	diversity	NOUN
cana-2344	181	13	in	in	ADP
cana-2344	181	14	the	the	DET
cana-2344	181	15	population	population	NOUN
cana-2344	181	16	and	and	CCONJ
cana-2344	181	17	prevent	prevent	VERB
cana-2344	181	18	the	the	DET
cana-2344	181	19	algorithm	algorithm	NOUN
cana-2344	181	20	from	from	ADP
cana-2344	181	21	getting	getting	AUX
cana-2344	181	22	stuck	stick	VERB
cana-2344	181	23	in	in	ADP
cana-2344	181	24	local	local	ADJ
cana-2344	181	25	optima	optima	NOUN
cana-2344	181	26	.	.	PUNCT
cana-2344	182	1	each	each	DET
cana-2344	182	2	feature	feature	NOUN
cana-2344	182	3	is	be	AUX
cana-2344	182	4	evaluated	evaluate	VERB
cana-2344	182	5	using	use	VERB
cana-2344	182	6	a	a	DET
cana-2344	182	7	fitness	fitness	NOUN
cana-2344	182	8	function	function	NOUN
cana-2344	182	9	that	that	PRON
cana-2344	182	10	measures	measure	VERB
cana-2344	182	11	its	its	PRON
cana-2344	182	12	contribution	contribution	NOUN
cana-2344	182	13	to	to	ADP
cana-2344	182	14	classification	classification	NOUN
cana-2344	182	15	performance	performance	NOUN
cana-2344	182	16	.	.	PUNCT
cana-2344	183	1	fitness	fitness	NOUN
cana-2344	183	2	scores	score	NOUN
cana-2344	183	3	are	be	AUX
cana-2344	183	4	based	base	VERB
cana-2344	183	5	on	on	ADP
cana-2344	183	6	metrics	metric	NOUN
cana-2344	183	7	such	such	ADJ
cana-2344	183	8	as	as	ADP
cana-2344	183	9	accuracy	accuracy	NOUN
cana-2344	183	10	,	,	PUNCT
cana-2344	183	11	precision	precision	NOUN
cana-2344	183	12	,	,	PUNCT
cana-2344	183	13	and	and	CCONJ
cana-2344	183	14	computational	computational	ADJ
cana-2344	183	15	efficiency	efficiency	NOUN
cana-2344	183	16	.	.	PUNCT
cana-2344	184	1	features	feature	NOUN
cana-2344	184	2	with	with	ADP
cana-2344	184	3	higher	high	ADJ
cana-2344	184	4	fitness	fitness	NOUN
cana-2344	184	5	scores	score	NOUN
cana-2344	184	6	are	be	AUX
cana-2344	184	7	retained	retain	VERB
cana-2344	184	8	and	and	CCONJ
cana-2344	184	9	refined	refine	VERB
cana-2344	184	10	,	,	PUNCT
cana-2344	184	11	while	while	SCONJ
cana-2344	184	12	less	less	ADV
cana-2344	184	13	effective	effective	ADJ
cana-2344	184	14	ones	one	NOUN
cana-2344	184	15	are	be	AUX
cana-2344	184	16	discarded	discard	VERB
cana-2344	184	17	.	.	PUNCT
cana-2344	185	1	let	let	VERB
cana-2344	185	2	𝐹	𝐹	PROPN
cana-2344	185	3	=	=	PUNCT
cana-2344	185	4	{	{	PUNCT
cana-2344	185	5	𝑓1	𝑓1	PROPN
cana-2344	185	6	,	,	PUNCT
cana-2344	185	7	𝑓2	𝑓2	NOUN
cana-2344	185	8	,	,	PUNCT
cana-2344	185	9	.	.	PUNCT
cana-2344	185	10	.	.	PUNCT
cana-2344	186	1	.	.	PUNCT
cana-2344	187	1	,	,	PUNCT
cana-2344	187	2	𝑓𝑛	𝑓𝑛	NOUN
cana-2344	187	3	}	}	PUNCT
cana-2344	187	4	be	be	VERB
cana-2344	187	5	the	the	DET
cana-2344	187	6	set	set	NOUN
cana-2344	187	7	of	of	ADP
cana-2344	187	8	features	feature	NOUN
cana-2344	187	9	in	in	ADP
cana-2344	187	10	the	the	DET
cana-2344	187	11	initial	initial	ADJ
cana-2344	187	12	population	population	NOUN
cana-2344	187	13	.	.	PUNCT
cana-2344	188	1	1	1	X
cana-2344	188	2	.	.	X
cana-2344	188	3	fitness	fitness	NOUN
cana-2344	188	4	function	function	PROPN
cana-2344	188	5	𝜙(𝑓	𝜙(𝑓	PROPN
cana-2344	188	6	):	):	PUNCT
cana-2344	188	7	assigns	assign	VERB
cana-2344	188	8	a	a	DET
cana-2344	188	9	score	score	NOUN
cana-2344	188	10	to	to	ADP
cana-2344	188	11	each	each	DET
cana-2344	188	12	feature	feature	NOUN
cana-2344	188	13	𝑓𝑖	𝑓𝑖	PROPN
cana-2344	188	14	,	,	PUNCT
cana-2344	188	15	based	base	VERB
cana-2344	188	16	on	on	ADP
cana-2344	188	17	its	its	PRON
cana-2344	188	18	impact	impact	NOUN
cana-2344	188	19	on	on	ADP
cana-2344	188	20	classification	classification	NOUN
cana-2344	188	21	accuracy	accuracy	NOUN
cana-2344	188	22	.	.	PUNCT
cana-2344	189	1	features	feature	NOUN
cana-2344	189	2	with	with	ADP
cana-2344	189	3	higher	high	ADJ
cana-2344	189	4	scores	score	NOUN
cana-2344	189	5	are	be	AUX
cana-2344	189	6	more	more	ADV
cana-2344	189	7	likely	likely	ADJ
cana-2344	189	8	to	to	PART
cana-2344	189	9	be	be	AUX
cana-2344	189	10	selected	select	VERB
cana-2344	189	11	.	.	PUNCT
cana-2344	190	1	2	2	X
cana-2344	190	2	.	.	X
cana-2344	190	3	selection	selection	NOUN
cana-2344	190	4	probability	probability	NOUN
cana-2344	190	5	𝑃𝑠(𝑓	𝑃𝑠(𝑓	ADV
cana-2344	190	6	):	):	PUNCT
cana-2344	190	7	probability	probability	NOUN
cana-2344	190	8	of	of	ADP
cana-2344	190	9	a	a	DET
cana-2344	190	10	feature	feature	NOUN
cana-2344	190	11	being	be	AUX
cana-2344	190	12	selected	select	VERB
cana-2344	190	13	,	,	PUNCT
cana-2344	190	14	given	give	VERB
cana-2344	190	15	by	by	ADP
cana-2344	190	16	𝑃𝑠(𝑓	𝑃𝑠(𝑓	NOUN
cana-2344	190	17	)	)	PUNCT
cana-2344	190	18	=	=	SYM
cana-2344	190	19	𝜙(𝑓	𝜙(𝑓	PROPN
cana-2344	190	20	)	)	PUNCT
cana-2344	190	21	∑𝑛𝑖=1𝜙(𝑓𝑖	∑𝑛𝑖=1𝜙(𝑓𝑖	NOUN
cana-2344	190	22	)	)	PUNCT
cana-2344	190	23	.	.	PUNCT
cana-2344	191	1	3	3	X
cana-2344	191	2	.	.	X
cana-2344	191	3	crossover	crossover	NOUN
cana-2344	191	4	function	function	NOUN
cana-2344	191	5	𝐶(𝑓𝑖	𝐶(𝑓𝑖	NOUN
cana-2344	191	6	,	,	PUNCT
cana-2344	191	7	𝑓𝑗	𝑓𝑗	ADJ
cana-2344	191	8	):	):	PUNCT
cana-2344	191	9	combines	combine	VERB
cana-2344	191	10	two	two	NUM
cana-2344	191	11	parent	parent	NOUN
cana-2344	191	12	features	feature	VERB
cana-2344	191	13	𝑓𝑖	𝑓𝑖	PROPN
cana-2344	191	14	and	and	CCONJ
cana-2344	191	15	𝑓𝑗	𝑓𝑗	VERB
cana-2344	191	16	to	to	PART
cana-2344	191	17	produce	produce	VERB
cana-2344	191	18	new	new	ADJ
cana-2344	191	19	features	feature	NOUN
cana-2344	191	20	.	.	PUNCT
cana-2344	192	1	4	4	X
cana-2344	192	2	.	.	X
cana-2344	192	3	mutation	mutation	NOUN
cana-2344	192	4	function	function	VERB
cana-2344	192	5	𝑀(𝑓	𝑀(𝑓	NOUN
cana-2344	192	6	):	):	PUNCT
cana-2344	192	7	applies	apply	VERB
cana-2344	192	8	random	random	ADJ
cana-2344	192	9	changes	change	NOUN
cana-2344	192	10	to	to	ADP
cana-2344	192	11	a	a	DET
cana-2344	192	12	feature	feature	NOUN
cana-2344	192	13	𝑓	𝑓	PRON
cana-2344	192	14	with	with	ADP
cana-2344	192	15	a	a	DET
cana-2344	192	16	mutation	mutation	NOUN
cana-2344	192	17	rate	rate	NOUN
cana-2344	192	18	𝜇.	𝜇.	ADV
cana-2344	192	19	the	the	DET
cana-2344	192	20	refined	refined	ADJ
cana-2344	192	21	feature	feature	NOUN
cana-2344	192	22	set	set	VERB
cana-2344	192	23	𝐹′	𝐹′	X
cana-2344	192	24	=	=	SYM
cana-2344	192	25	{	{	PUNCT
cana-2344	192	26	𝐶(𝑀(𝑓𝑖),𝑀(𝑓𝑗	𝐶(𝑀(𝑓𝑖),𝑀(𝑓𝑗	PROPN
cana-2344	192	27	)	)	PUNCT
cana-2344	192	28	)	)	PUNCT
cana-2344	192	29	}	}	PUNCT
cana-2344	192	30	evolves	evolve	VERB
cana-2344	192	31	over	over	ADP
cana-2344	192	32	iterations	iteration	NOUN
cana-2344	192	33	,	,	PUNCT
cana-2344	192	34	continually	continually	ADV
cana-2344	192	35	improving	improve	VERB
cana-2344	192	36	in	in	ADP
cana-2344	192	37	fitness	fitness	NOUN
cana-2344	192	38	.	.	PUNCT
cana-2344	193	1	algorithm	algorithm	PROPN
cana-2344	193	2	2	2	NUM
cana-2344	193	3	:	:	PUNCT
cana-2344	193	4	feature	feature	NOUN
cana-2344	193	5	optimization	optimization	NOUN
cana-2344	193	6	using	use	VERB
cana-2344	193	7	genetic	genetic	ADJ
cana-2344	193	8	algorithm	algorithm	NOUN
cana-2344	193	9	(	(	PUNCT
cana-2344	193	10	ga	ga	NOUN
cana-2344	193	11	)	)	PUNCT
cana-2344	193	12	1	1	NUM
cana-2344	193	13	.	.	X
cana-2344	193	14	initialize	initialize	VERB
cana-2344	193	15	population	population	NOUN
cana-2344	193	16	:	:	PUNCT
cana-2344	193	17	generate	generate	VERB
cana-2344	193	18	an	an	DET
cana-2344	193	19	initial	initial	ADJ
cana-2344	193	20	set	set	NOUN
cana-2344	193	21	of	of	ADP
cana-2344	193	22	features	feature	NOUN
cana-2344	193	23	𝐹.	𝐹.	PROPN
cana-2344	193	24	2	2	X
cana-2344	193	25	.	.	PUNCT
cana-2344	193	26	evaluate	evaluate	VERB
cana-2344	193	27	fitness	fitness	NOUN
cana-2344	193	28	:	:	PUNCT
cana-2344	193	29	compute	compute	VERB
cana-2344	193	30	the	the	DET
cana-2344	193	31	fitness	fitness	NOUN
cana-2344	193	32	score	score	NOUN
cana-2344	193	33	𝜙(𝑓	𝜙(𝑓	PROPN
cana-2344	193	34	)	)	PUNCT
cana-2344	193	35	for	for	ADP
cana-2344	193	36	each	each	DET
cana-2344	193	37	feature	feature	NOUN
cana-2344	193	38	.	.	PUNCT
cana-2344	194	1	3	3	X
cana-2344	194	2	.	.	X
cana-2344	194	3	selection	selection	NOUN
cana-2344	194	4	:	:	PUNCT
cana-2344	194	5	choose	choose	VERB
cana-2344	194	6	features	feature	NOUN
cana-2344	194	7	based	base	VERB
cana-2344	194	8	on	on	ADP
cana-2344	194	9	𝑃𝑠(𝑓	𝑃𝑠(𝑓	NOUN
cana-2344	194	10	)	)	PUNCT
cana-2344	194	11	,	,	PUNCT
cana-2344	194	12	favoring	favor	VERB
cana-2344	194	13	those	those	PRON
cana-2344	194	14	with	with	ADP
cana-2344	194	15	higher	high	ADJ
cana-2344	194	16	fitness	fitness	NOUN
cana-2344	194	17	.	.	PUNCT
cana-2344	195	1	4	4	X
cana-2344	195	2	.	.	X
cana-2344	195	3	crossover	crossover	NOUN
cana-2344	195	4	:	:	PUNCT
cana-2344	195	5	apply	apply	VERB
cana-2344	195	6	𝐶(𝑓𝑖	𝐶(𝑓𝑖	NOUN
cana-2344	195	7	,	,	PUNCT
cana-2344	195	8	𝑓𝑗	𝑓𝑗	NOUN
cana-2344	195	9	)	)	PUNCT
cana-2344	195	10	to	to	ADP
cana-2344	195	11	selected	select	VERB
cana-2344	195	12	features	feature	NOUN
cana-2344	195	13	to	to	PART
cana-2344	195	14	create	create	VERB
cana-2344	195	15	new	new	ADJ
cana-2344	195	16	combinations	combination	NOUN
cana-2344	195	17	.	.	PUNCT
cana-2344	196	1	5	5	X
cana-2344	196	2	.	.	X
cana-2344	196	3	mutation	mutation	NOUN
cana-2344	196	4	:	:	PUNCT
cana-2344	196	5	randomly	randomly	ADV
cana-2344	196	6	alter	alter	PROPN
cana-2344	196	7	features	feature	NOUN
cana-2344	196	8	using	use	VERB
cana-2344	196	9	𝑀(𝑓	𝑀(𝑓	NOUN
cana-2344	196	10	)	)	PUNCT
cana-2344	196	11	to	to	PART
cana-2344	196	12	maintain	maintain	VERB
cana-2344	196	13	diversity	diversity	NOUN
cana-2344	196	14	.	.	PUNCT
cana-2344	197	1	6	6	X
cana-2344	197	2	.	.	X
cana-2344	197	3	update	update	NOUN
cana-2344	197	4	population	population	NOUN
cana-2344	197	5	:	:	PUNCT
cana-2344	197	6	form	form	VERB
cana-2344	197	7	a	a	DET
cana-2344	197	8	new	new	ADJ
cana-2344	197	9	population	population	NOUN
cana-2344	197	10	𝐹′	𝐹′	PUNCT
cana-2344	197	11	with	with	ADP
cana-2344	197	12	the	the	DET
cana-2344	197	13	refined	refined	ADJ
cana-2344	197	14	feature	feature	NOUN
cana-2344	197	15	set	set	NOUN
cana-2344	197	16	.	.	PUNCT
cana-2344	198	1	7	7	X
cana-2344	198	2	.	.	X
cana-2344	198	3	repeat	repeat	NOUN
cana-2344	198	4	:	:	PUNCT
cana-2344	198	5	continue	continue	VERB
cana-2344	198	6	the	the	DET
cana-2344	198	7	process	process	NOUN
cana-2344	198	8	until	until	ADP
cana-2344	198	9	convergence	convergence	NOUN
cana-2344	198	10	or	or	CCONJ
cana-2344	198	11	until	until	SCONJ
cana-2344	198	12	the	the	DET
cana-2344	198	13	optimal	optimal	ADJ
cana-2344	198	14	feature	feature	NOUN
cana-2344	198	15	set	set	NOUN
cana-2344	198	16	is	be	AUX
cana-2344	198	17	achieved	achieve	VERB
cana-2344	198	18	.	.	PUNCT
cana-2344	199	1	the	the	DET
cana-2344	199	2	ga	ga	PROPN
cana-2344	199	3	effectively	effectively	ADV
cana-2344	199	4	enhances	enhance	VERB
cana-2344	199	5	feature	feature	NOUN
cana-2344	199	6	selection	selection	NOUN
cana-2344	199	7	,	,	PUNCT
cana-2344	199	8	refining	refine	VERB
cana-2344	199	9	the	the	DET
cana-2344	199	10	set	set	NOUN
cana-2344	199	11	to	to	PART
cana-2344	199	12	include	include	VERB
cana-2344	199	13	only	only	ADV
cana-2344	199	14	the	the	DET
cana-2344	199	15	most	most	ADV
cana-2344	199	16	impactful	impactful	ADJ
cana-2344	199	17	elements	element	NOUN
cana-2344	199	18	for	for	ADP
cana-2344	199	19	sentiment	sentiment	NOUN
cana-2344	199	20	classification	classification	NOUN
cana-2344	199	21	,	,	PUNCT
cana-2344	199	22	thereby	thereby	ADV
cana-2344	199	23	boosting	boost	VERB
cana-2344	199	24	the	the	DET
cana-2344	199	25	performance	performance	NOUN
cana-2344	199	26	and	and	CCONJ
cana-2344	199	27	efficiency	efficiency	NOUN
cana-2344	199	28	of	of	ADP
cana-2344	199	29	the	the	DET
cana-2344	199	30	sentiment	sentiment	NOUN
cana-2344	199	31	analysis	analysis	NOUN
cana-2344	199	32	model	model	NOUN
cana-2344	199	33	.	.	PUNCT
cana-2344	200	1	communications	communication	NOUN
cana-2344	200	2	on	on	ADP
cana-2344	200	3	applied	apply	VERB
cana-2344	200	4	nonlinear	nonlinear	ADJ
cana-2344	200	5	analysis	analysis	NOUN
cana-2344	200	6	issn	issn	NOUN
cana-2344	200	7	:	:	PUNCT
cana-2344	200	8	1074	1074	NUM
cana-2344	200	9	-	-	PUNCT
cana-2344	200	10	133x	133x	NUM
cana-2344	200	11	vol	vol	NOUN
cana-2344	200	12	32	32	NUM
cana-2344	200	13	no	no	NOUN
cana-2344	200	14	.	.	PUNCT
cana-2344	201	1	1s	1s	NUM
cana-2344	201	2	(	(	PUNCT
cana-2344	201	3	2025	2025	NUM
cana-2344	201	4	)	)	PUNCT
cana-2344	201	5	564	564	NUM
cana-2344	201	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2344	201	7	3.5	3.5	NUM
cana-2344	201	8	nonlinear	nonlinear	ADJ
cana-2344	201	9	phrase	phrase	NOUN
cana-2344	201	10	concurrence	concurrence	NOUN
cana-2344	201	11	fitness	fitness	NOUN
cana-2344	201	12	evaluation	evaluation	NOUN
cana-2344	201	13	nonlinear	nonlinear	ADJ
cana-2344	201	14	phrase	phrase	NOUN
cana-2344	201	15	concurrence	concurrence	NOUN
cana-2344	201	16	fitness	fitness	NOUN
cana-2344	201	17	evaluation	evaluation	NOUN
cana-2344	201	18	identifies	identify	VERB
cana-2344	201	19	the	the	DET
cana-2344	201	20	strength	strength	NOUN
cana-2344	201	21	of	of	ADP
cana-2344	201	22	interactions	interaction	NOUN
cana-2344	201	23	between	between	ADP
cana-2344	201	24	phrases	phrase	NOUN
cana-2344	201	25	,	,	PUNCT
cana-2344	201	26	assessing	assess	VERB
cana-2344	201	27	how	how	SCONJ
cana-2344	201	28	well	well	ADV
cana-2344	201	29	phrases	phrase	NOUN
cana-2344	201	30	co	co	VERB
cana-2344	201	31	-	-	VERB
cana-2344	201	32	occur	occur	VERB
cana-2344	201	33	within	within	ADP
cana-2344	201	34	sentiment	sentiment	NOUN
cana-2344	201	35	contexts	contexts	NOUN
cana-2344	201	36	.	.	PUNCT
cana-2344	202	1	this	this	DET
cana-2344	202	2	evaluation	evaluation	NOUN
cana-2344	202	3	helps	help	VERB
cana-2344	202	4	refine	refine	VERB
cana-2344	202	5	feature	feature	NOUN
cana-2344	202	6	selection	selection	NOUN
cana-2344	202	7	by	by	ADP
cana-2344	202	8	focusing	focus	VERB
cana-2344	202	9	on	on	ADP
cana-2344	202	10	pairs	pair	NOUN
cana-2344	202	11	or	or	CCONJ
cana-2344	202	12	groups	group	NOUN
cana-2344	202	13	of	of	ADP
cana-2344	202	14	phrases	phrase	NOUN
cana-2344	202	15	that	that	PRON
cana-2344	202	16	significantly	significantly	ADV
cana-2344	202	17	impact	impact	VERB
cana-2344	202	18	sentiment	sentiment	NOUN
cana-2344	202	19	classification	classification	NOUN
cana-2344	202	20	.	.	PUNCT
cana-2344	203	1	the	the	DET
cana-2344	203	2	approach	approach	NOUN
cana-2344	203	3	captures	capture	VERB
cana-2344	203	4	complex	complex	ADJ
cana-2344	203	5	patterns	pattern	NOUN
cana-2344	203	6	missed	miss	VERB
cana-2344	203	7	by	by	ADP
cana-2344	203	8	linear	linear	PROPN
cana-2344	203	9	models	model	NOUN
cana-2344	203	10	,	,	PUNCT
cana-2344	203	11	enhancing	enhance	VERB
cana-2344	203	12	the	the	DET
cana-2344	203	13	overall	overall	ADJ
cana-2344	203	14	accuracy	accuracy	NOUN
cana-2344	203	15	.	.	PUNCT
cana-2344	204	1	this	this	DET
cana-2344	204	2	module	module	NOUN
cana-2344	204	3	evaluates	evaluate	VERB
cana-2344	204	4	the	the	DET
cana-2344	204	5	fitness	fitness	NOUN
cana-2344	204	6	of	of	ADP
cana-2344	204	7	phrases	phrase	NOUN
cana-2344	204	8	based	base	VERB
cana-2344	204	9	on	on	ADP
cana-2344	204	10	their	their	PRON
cana-2344	204	11	nonlinear	nonlinear	ADJ
cana-2344	204	12	concurrence	concurrence	NOUN
cana-2344	204	13	,	,	PUNCT
cana-2344	204	14	which	which	PRON
cana-2344	204	15	measures	measure	VERB
cana-2344	204	16	how	how	SCONJ
cana-2344	204	17	frequently	frequently	ADV
cana-2344	204	18	phrases	phrase	NOUN
cana-2344	204	19	appear	appear	VERB
cana-2344	204	20	together	together	ADV
cana-2344	204	21	in	in	ADP
cana-2344	204	22	similar	similar	ADJ
cana-2344	204	23	sentiment	sentiment	NOUN
cana-2344	204	24	contexts	contexts	NOUN
cana-2344	204	25	.	.	PUNCT
cana-2344	205	1	by	by	ADP
cana-2344	205	2	analyzing	analyze	VERB
cana-2344	205	3	these	these	DET
cana-2344	205	4	relationships	relationship	NOUN
cana-2344	205	5	,	,	PUNCT
cana-2344	205	6	the	the	DET
cana-2344	205	7	system	system	NOUN
cana-2344	205	8	can	can	AUX
cana-2344	205	9	identify	identify	VERB
cana-2344	205	10	and	and	CCONJ
cana-2344	205	11	retain	retain	VERB
cana-2344	205	12	phrase	phrase	NOUN
cana-2344	205	13	combinations	combination	NOUN
cana-2344	205	14	that	that	PRON
cana-2344	205	15	enhance	enhance	VERB
cana-2344	205	16	sentiment	sentiment	NOUN
cana-2344	205	17	detection	detection	NOUN
cana-2344	205	18	.	.	PUNCT
cana-2344	206	1	this	this	DET
cana-2344	206	2	nonlinear	nonlinear	ADJ
cana-2344	206	3	approach	approach	NOUN
cana-2344	206	4	goes	go	VERB
cana-2344	206	5	beyond	beyond	ADP
cana-2344	206	6	simple	simple	ADJ
cana-2344	206	7	frequency	frequency	NOUN
cana-2344	206	8	counts	count	NOUN
cana-2344	206	9	,	,	PUNCT
cana-2344	206	10	evaluating	evaluate	VERB
cana-2344	206	11	how	how	SCONJ
cana-2344	206	12	these	these	DET
cana-2344	206	13	phrases	phrase	NOUN
cana-2344	206	14	interact	interact	VERB
cana-2344	206	15	to	to	PART
cana-2344	206	16	form	form	VERB
cana-2344	206	17	meaningful	meaningful	ADJ
cana-2344	206	18	sentiment	sentiment	NOUN
cana-2344	206	19	expressions	expression	NOUN
cana-2344	206	20	.	.	PUNCT
cana-2344	207	1	the	the	DET
cana-2344	207	2	evaluation	evaluation	NOUN
cana-2344	207	3	model	model	NOUN
cana-2344	207	4	uses	use	VERB
cana-2344	207	5	nonlinear	nonlinear	ADJ
cana-2344	207	6	analysis	analysis	NOUN
cana-2344	207	7	to	to	PART
cana-2344	207	8	determine	determine	VERB
cana-2344	207	9	how	how	SCONJ
cana-2344	207	10	phrases	phrase	NOUN
cana-2344	207	11	co	co	VERB
cana-2344	207	12	-	-	VERB
cana-2344	207	13	occur	occur	VERB
cana-2344	207	14	in	in	ADP
cana-2344	207	15	the	the	DET
cana-2344	207	16	text	text	NOUN
cana-2344	207	17	,	,	PUNCT
cana-2344	207	18	focusing	focus	VERB
cana-2344	207	19	on	on	ADP
cana-2344	207	20	their	their	PRON
cana-2344	207	21	sentiment	sentiment	NOUN
cana-2344	207	22	alignment	alignment	NOUN
cana-2344	207	23	.	.	PUNCT
cana-2344	208	1	instead	instead	ADV
cana-2344	208	2	of	of	ADP
cana-2344	208	3	treating	treat	VERB
cana-2344	208	4	each	each	DET
cana-2344	208	5	phrase	phrase	NOUN
cana-2344	208	6	independently	independently	ADV
cana-2344	208	7	,	,	PUNCT
cana-2344	208	8	the	the	DET
cana-2344	208	9	model	model	NOUN
cana-2344	208	10	considers	consider	VERB
cana-2344	208	11	higher	high	ADJ
cana-2344	208	12	-	-	PUNCT
cana-2344	208	13	order	order	NOUN
cana-2344	208	14	relationships	relationship	NOUN
cana-2344	208	15	,	,	PUNCT
cana-2344	208	16	assessing	assess	VERB
cana-2344	208	17	how	how	SCONJ
cana-2344	208	18	phrases	phrase	NOUN
cana-2344	208	19	influence	influence	VERB
cana-2344	208	20	one	one	NOUN
cana-2344	208	21	another	another	DET
cana-2344	208	22	within	within	ADP
cana-2344	208	23	the	the	DET
cana-2344	208	24	context	context	NOUN
cana-2344	208	25	of	of	ADP
cana-2344	208	26	sentiment	sentiment	NOUN
cana-2344	208	27	.	.	PUNCT
cana-2344	209	1	this	this	DET
cana-2344	209	2	evaluation	evaluation	NOUN
cana-2344	209	3	identifies	identify	VERB
cana-2344	209	4	key	key	ADJ
cana-2344	209	5	interactions	interaction	NOUN
cana-2344	209	6	that	that	PRON
cana-2344	209	7	contribute	contribute	VERB
cana-2344	209	8	to	to	ADP
cana-2344	209	9	the	the	DET
cana-2344	209	10	overall	overall	ADJ
cana-2344	209	11	sentiment	sentiment	NOUN
cana-2344	209	12	score	score	NOUN
cana-2344	209	13	,	,	PUNCT
cana-2344	209	14	refining	refine	VERB
cana-2344	209	15	the	the	DET
cana-2344	209	16	feature	feature	NOUN
cana-2344	209	17	set	set	VERB
cana-2344	209	18	to	to	PART
cana-2344	209	19	capture	capture	VERB
cana-2344	209	20	nuanced	nuanced	ADJ
cana-2344	209	21	expressions	expression	NOUN
cana-2344	209	22	.	.	PUNCT
cana-2344	210	1	adaptive	adaptive	ADJ
cana-2344	210	2	weighting	weighting	NOUN
cana-2344	210	3	assigns	assign	NOUN
cana-2344	210	4	dynamic	dynamic	ADJ
cana-2344	210	5	weights	weight	NOUN
cana-2344	210	6	to	to	PART
cana-2344	210	7	phrase	phrase	VERB
cana-2344	210	8	pairs	pair	NOUN
cana-2344	210	9	based	base	VERB
cana-2344	210	10	on	on	ADP
cana-2344	210	11	their	their	PRON
cana-2344	210	12	concurrence	concurrence	NOUN
cana-2344	210	13	scores	score	NOUN
cana-2344	210	14	,	,	PUNCT
cana-2344	210	15	adjusting	adjust	VERB
cana-2344	210	16	their	their	PRON
cana-2344	210	17	influence	influence	NOUN
cana-2344	210	18	on	on	ADP
cana-2344	210	19	the	the	DET
cana-2344	210	20	classification	classification	NOUN
cana-2344	210	21	outcome	outcome	NOUN
cana-2344	210	22	.	.	PUNCT
cana-2344	211	1	phrases	phrase	NOUN
cana-2344	211	2	that	that	PRON
cana-2344	211	3	frequently	frequently	ADV
cana-2344	211	4	co	co	VERB
cana-2344	211	5	-	-	VERB
cana-2344	211	6	occur	occur	VERB
cana-2344	211	7	in	in	ADP
cana-2344	211	8	specific	specific	ADJ
cana-2344	211	9	sentiment	sentiment	NOUN
cana-2344	211	10	contexts	context	NOUN
cana-2344	211	11	are	be	AUX
cana-2344	211	12	given	give	VERB
cana-2344	211	13	higher	high	ADJ
cana-2344	211	14	weights	weight	NOUN
cana-2344	211	15	,	,	PUNCT
cana-2344	211	16	enhancing	enhance	VERB
cana-2344	211	17	their	their	PRON
cana-2344	211	18	impact	impact	NOUN
cana-2344	211	19	on	on	ADP
cana-2344	211	20	the	the	DET
cana-2344	211	21	sentiment	sentiment	NOUN
cana-2344	211	22	analysis	analysis	NOUN
cana-2344	211	23	model	model	NOUN
cana-2344	211	24	.	.	PUNCT
cana-2344	212	1	this	this	DET
cana-2344	212	2	mechanism	mechanism	NOUN
cana-2344	212	3	continuously	continuously	ADV
cana-2344	212	4	adjusts	adjust	VERB
cana-2344	212	5	weights	weight	NOUN
cana-2344	212	6	as	as	SCONJ
cana-2344	212	7	new	new	ADJ
cana-2344	212	8	data	datum	NOUN
cana-2344	212	9	is	be	AUX
cana-2344	212	10	processed	process	VERB
cana-2344	212	11	,	,	PUNCT
cana-2344	212	12	ensuring	ensure	VERB
cana-2344	212	13	that	that	SCONJ
cana-2344	212	14	the	the	DET
cana-2344	212	15	most	most	ADV
cana-2344	212	16	relevant	relevant	ADJ
cana-2344	212	17	phrase	phrase	NOUN
cana-2344	212	18	interactions	interaction	NOUN
cana-2344	212	19	are	be	AUX
cana-2344	212	20	prioritized	prioritize	VERB
cana-2344	212	21	.	.	PUNCT
cana-2344	213	1	let	let	VERB
cana-2344	213	2	𝑃	𝑃	VERB
cana-2344	213	3	=	=	SYM
cana-2344	213	4	{	{	PUNCT
cana-2344	213	5	𝑝1	𝑝1	NOUN
cana-2344	213	6	,	,	PUNCT
cana-2344	213	7	𝑝2	𝑝2	NOUN
cana-2344	213	8	,	,	PUNCT
cana-2344	213	9	.	.	PUNCT
cana-2344	213	10	.	.	PUNCT
cana-2344	214	1	.	.	PUNCT
cana-2344	215	1	,	,	PUNCT
cana-2344	215	2	𝑝𝑘	𝑝𝑘	PROPN
cana-2344	215	3	}	}	PUNCT
cana-2344	215	4	represent	represent	VERB
cana-2344	215	5	the	the	DET
cana-2344	215	6	set	set	NOUN
cana-2344	215	7	of	of	ADP
cana-2344	215	8	extracted	extract	VERB
cana-2344	215	9	phrases	phrase	NOUN
cana-2344	215	10	,	,	PUNCT
cana-2344	215	11	and	and	CCONJ
cana-2344	215	12	let	let	VERB
cana-2344	215	13	𝐶(𝑝𝑖	𝐶(𝑝𝑖	ADV
cana-2344	215	14	,	,	PUNCT
cana-2344	215	15	𝑝𝑗	𝑝𝑗	NOUN
cana-2344	215	16	)	)	PUNCT
cana-2344	215	17	denote	denote	VERB
cana-2344	215	18	the	the	DET
cana-2344	215	19	concurrence	concurrence	NOUN
cana-2344	215	20	score	score	NOUN
cana-2344	215	21	of	of	ADP
cana-2344	215	22	phrases	phrase	NOUN
cana-2344	215	23	𝑝𝑖	𝑝𝑖	NOUN
cana-2344	215	24	and	and	CCONJ
cana-2344	215	25	𝑝𝑗.	𝑝𝑗.	PROPN
cana-2344	215	26	1	1	NUM
cana-2344	215	27	.	.	PUNCT
cana-2344	216	1	concurrence	concurrence	NOUN
cana-2344	216	2	function	function	VERB
cana-2344	216	3	𝐶(𝑝𝑖	𝐶(𝑝𝑖	ADV
cana-2344	216	4	,	,	PUNCT
cana-2344	216	5	𝑝𝑗	𝑝𝑗	NOUN
cana-2344	216	6	):	):	PUNCT
cana-2344	216	7	measures	measure	NOUN
cana-2344	216	8	how	how	SCONJ
cana-2344	216	9	often	often	ADV
cana-2344	216	10	two	two	NUM
cana-2344	216	11	phrases	phrase	NOUN
cana-2344	216	12	appear	appear	VERB
cana-2344	216	13	together	together	ADV
cana-2344	216	14	in	in	ADP
cana-2344	216	15	the	the	DET
cana-2344	216	16	same	same	ADJ
cana-2344	216	17	sentiment	sentiment	NOUN
cana-2344	216	18	context	context	NOUN
cana-2344	216	19	,	,	PUNCT
cana-2344	216	20	weighted	weight	VERB
cana-2344	216	21	by	by	ADP
cana-2344	216	22	their	their	PRON
cana-2344	216	23	importance	importance	NOUN
cana-2344	216	24	.	.	PUNCT
cana-2344	217	1	the	the	DET
cana-2344	217	2	function	function	NOUN
cana-2344	217	3	is	be	AUX
cana-2344	217	4	defined	define	VERB
cana-2344	217	5	as	as	ADP
cana-2344	217	6	:	:	PUNCT
cana-2344	217	7	𝐶(𝑝𝑖	𝐶(𝑝𝑖	ADV
cana-2344	217	8	,	,	PUNCT
cana-2344	217	9	𝑝𝑗	𝑝𝑗	NOUN
cana-2344	217	10	)	)	PUNCT
cana-2344	217	11	=	=	PUNCT
cana-2344	218	1	∑𝑚	∑𝑚	PUNCT
cana-2344	218	2	𝑡=1	𝑡=1	PROPN
cana-2344	218	3	𝛼𝑡	𝛼𝑡	ADP
cana-2344	218	4	⋅	⋅	PROPN
cana-2344	218	5	freq(𝑝𝑖	freq(𝑝𝑖	PROPN
cana-2344	218	6	,	,	PUNCT
cana-2344	218	7	𝑝𝑗	𝑝𝑗	NOUN
cana-2344	218	8	,	,	PUNCT
cana-2344	218	9	𝑡	𝑡	PROPN
cana-2344	218	10	)	)	PUNCT
cana-2344	218	11	where	where	SCONJ
cana-2344	218	12	freq(𝑝𝑖	freq(𝑝𝑖	PROPN
cana-2344	218	13	,	,	PUNCT
cana-2344	218	14	𝑝𝑗	𝑝𝑗	NOUN
cana-2344	218	15	,	,	PUNCT
cana-2344	218	16	𝑡	𝑡	PROPN
cana-2344	218	17	)	)	PUNCT
cana-2344	218	18	is	be	AUX
cana-2344	218	19	the	the	DET
cana-2344	218	20	frequency	frequency	NOUN
cana-2344	218	21	of	of	ADP
cana-2344	218	22	𝑝𝑖	𝑝𝑖	PROPN
cana-2344	218	23	and	and	CCONJ
cana-2344	218	24	𝑝𝑗	𝑝𝑗	NOUN
cana-2344	218	25	co	co	VERB
cana-2344	218	26	-	-	NOUN
cana-2344	218	27	occurring	occur	VERB
cana-2344	218	28	in	in	ADP
cana-2344	218	29	sentiment	sentiment	NOUN
cana-2344	218	30	context	context	PROPN
cana-2344	218	31	𝑡	𝑡	PROPN
cana-2344	218	32	,	,	PUNCT
cana-2344	218	33	and	and	CCONJ
cana-2344	218	34	𝛼𝑡	𝛼𝑡	X
cana-2344	218	35	is	be	AUX
cana-2344	218	36	the	the	DET
cana-2344	218	37	weight	weight	NOUN
cana-2344	218	38	assigned	assign	VERB
cana-2344	218	39	to	to	PART
cana-2344	218	40	context	context	VERB
cana-2344	218	41	𝑡.	𝑡.	NOUN
cana-2344	218	42	2	2	NUM
cana-2344	218	43	.	.	PUNCT
cana-2344	218	44	fitness	fitness	NOUN
cana-2344	218	45	score	score	NOUN
cana-2344	218	46	𝐹(𝑝	𝐹(𝑝	NOUN
cana-2344	218	47	):	):	PUNCT
cana-2344	218	48	the	the	DET
cana-2344	218	49	fitness	fitness	NOUN
cana-2344	218	50	score	score	NOUN
cana-2344	218	51	for	for	ADP
cana-2344	218	52	each	each	DET
cana-2344	218	53	phrase	phrase	NOUN
cana-2344	218	54	set	set	NOUN
cana-2344	218	55	is	be	AUX
cana-2344	218	56	calculated	calculate	VERB
cana-2344	218	57	by	by	ADP
cana-2344	218	58	summing	sum	VERB
cana-2344	218	59	the	the	DET
cana-2344	218	60	concurrence	concurrence	NOUN
cana-2344	218	61	scores	score	NOUN
cana-2344	218	62	:	:	PUNCT
cana-2344	218	63	𝐹(𝑃	𝐹(𝑃	X
cana-2344	218	64	)	)	PUNCT
cana-2344	218	65	=	=	SYM
cana-2344	219	1	∑𝑘	∑𝑘	PROPN
cana-2344	219	2	𝑖=1	𝑖=1	PUNCT
cana-2344	219	3	∑	∑	PUNCT
cana-2344	219	4	𝑘	𝑘	PUNCT
cana-2344	219	5	𝑗=𝑖+1	𝑗=𝑖+1	PROPN
cana-2344	219	6	𝐶(𝑝𝑖	𝐶(𝑝𝑖	PROPN
cana-2344	219	7	,	,	PUNCT
cana-2344	219	8	𝑝𝑗	𝑝𝑗	NOUN
cana-2344	219	9	)	)	PUNCT
cana-2344	219	10	3	3	NUM
cana-2344	219	11	.	.	X
cana-2344	219	12	adaptive	adaptive	ADJ
cana-2344	219	13	weighting	weighting	NOUN
cana-2344	219	14	function	function	NOUN
cana-2344	219	15	𝑊(𝑝	𝑊(𝑝	NUM
cana-2344	219	16	):	):	PUNCT
cana-2344	219	17	adjusts	adjust	VERB
cana-2344	219	18	the	the	DET
cana-2344	219	19	weights	weight	NOUN
cana-2344	219	20	based	base	VERB
cana-2344	219	21	on	on	ADP
cana-2344	219	22	performance	performance	NOUN
cana-2344	219	23	metrics	metric	NOUN
cana-2344	219	24	,	,	PUNCT
cana-2344	219	25	refining	refine	VERB
cana-2344	219	26	the	the	DET
cana-2344	219	27	influence	influence	NOUN
cana-2344	219	28	of	of	ADP
cana-2344	219	29	phrase	phrase	NOUN
cana-2344	219	30	pairs	pair	NOUN
cana-2344	219	31	dynamically	dynamically	ADV
cana-2344	219	32	.	.	PUNCT
cana-2344	220	1	algorithm	algorithm	NOUN
cana-2344	220	2	3	3	NUM
cana-2344	220	3	:	:	PUNCT
cana-2344	220	4	nonlinear	nonlinear	ADJ
cana-2344	220	5	phrase	phrase	NOUN
cana-2344	220	6	concurrence	concurrence	NOUN
cana-2344	220	7	fitness	fitness	NOUN
cana-2344	220	8	evaluation	evaluation	NOUN
cana-2344	220	9	1	1	NUM
cana-2344	220	10	.	.	PUNCT
cana-2344	221	1	input	input	NOUN
cana-2344	221	2	phrases	phrase	NOUN
cana-2344	221	3	:	:	PUNCT
cana-2344	221	4	start	start	VERB
cana-2344	221	5	with	with	ADP
cana-2344	221	6	the	the	DET
cana-2344	221	7	set	set	NOUN
cana-2344	221	8	of	of	ADP
cana-2344	221	9	extracted	extract	VERB
cana-2344	221	10	phrases	phrase	NOUN
cana-2344	221	11	𝑃.	𝑃.	PROPN
cana-2344	221	12	2	2	NUM
cana-2344	221	13	.	.	PUNCT
cana-2344	221	14	calculate	calculate	NOUN
cana-2344	221	15	concurrence	concurrence	NOUN
cana-2344	221	16	scores	score	NOUN
cana-2344	221	17	:	:	PUNCT
cana-2344	221	18	compute	compute	NOUN
cana-2344	221	19	𝐶(𝑝𝑖	𝐶(𝑝𝑖	PROPN
cana-2344	221	20	,	,	PUNCT
cana-2344	221	21	𝑝𝑗	𝑝𝑗	NOUN
cana-2344	221	22	)	)	PUNCT
cana-2344	221	23	for	for	ADP
cana-2344	221	24	each	each	DET
cana-2344	221	25	phrase	phrase	NOUN
cana-2344	221	26	pair	pair	NOUN
cana-2344	221	27	,	,	PUNCT
cana-2344	221	28	evaluating	evaluate	VERB
cana-2344	221	29	their	their	PRON
cana-2344	221	30	co	co	NOUN
cana-2344	221	31	-	-	NOUN
cana-2344	221	32	occurrence	occurrence	NOUN
cana-2344	221	33	in	in	ADP
cana-2344	221	34	sentiment	sentiment	NOUN
cana-2344	221	35	contexts	contexts	NOUN
cana-2344	221	36	.	.	PUNCT
cana-2344	222	1	communications	communication	NOUN
cana-2344	222	2	on	on	ADP
cana-2344	222	3	applied	apply	VERB
cana-2344	222	4	nonlinear	nonlinear	ADJ
cana-2344	222	5	analysis	analysis	NOUN
cana-2344	222	6	issn	issn	NOUN
cana-2344	222	7	:	:	PUNCT
cana-2344	222	8	1074	1074	NUM
cana-2344	222	9	-	-	PUNCT
cana-2344	222	10	133x	133x	NUM
cana-2344	222	11	vol	vol	NOUN
cana-2344	222	12	32	32	NUM
cana-2344	222	13	no	no	NOUN
cana-2344	222	14	.	.	PUNCT
cana-2344	223	1	1s	1s	NUM
cana-2344	223	2	(	(	PUNCT
cana-2344	223	3	2025	2025	NUM
cana-2344	223	4	)	)	PUNCT
cana-2344	223	5	565	565	NUM
cana-2344	223	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2344	223	7	3	3	X
cana-2344	223	8	.	.	PUNCT
cana-2344	223	9	evaluate	evaluate	VERB
cana-2344	223	10	fitness	fitness	NOUN
cana-2344	223	11	:	:	PUNCT
cana-2344	223	12	calculate	calculate	VERB
cana-2344	223	13	the	the	DET
cana-2344	223	14	overall	overall	ADJ
cana-2344	223	15	fitness	fitness	NOUN
cana-2344	223	16	score	score	NOUN
cana-2344	223	17	𝐹(𝑃	𝐹(𝑃	NOUN
cana-2344	223	18	)	)	PUNCT
cana-2344	223	19	to	to	PART
cana-2344	223	20	assess	assess	VERB
cana-2344	223	21	the	the	DET
cana-2344	223	22	contribution	contribution	NOUN
cana-2344	223	23	of	of	ADP
cana-2344	223	24	phrase	phrase	NOUN
cana-2344	223	25	pairs	pair	NOUN
cana-2344	223	26	.	.	PUNCT
cana-2344	224	1	4	4	X
cana-2344	224	2	.	.	X
cana-2344	224	3	apply	apply	VERB
cana-2344	224	4	adaptive	adaptive	ADJ
cana-2344	224	5	weighting	weighting	NOUN
cana-2344	224	6	:	:	PUNCT
cana-2344	224	7	adjust	adjust	VERB
cana-2344	224	8	weights	weight	NOUN
cana-2344	224	9	𝛼𝑡	𝛼𝑡	ADP
cana-2344	224	10	based	base	VERB
cana-2344	224	11	on	on	ADP
cana-2344	224	12	the	the	DET
cana-2344	224	13	importance	importance	NOUN
cana-2344	224	14	of	of	ADP
cana-2344	224	15	the	the	DET
cana-2344	224	16	concurrence	concurrence	NOUN
cana-2344	224	17	scores	score	NOUN
cana-2344	224	18	to	to	PART
cana-2344	224	19	refine	refine	VERB
cana-2344	224	20	phrase	phrase	NOUN
cana-2344	224	21	influence	influence	NOUN
cana-2344	224	22	.	.	PUNCT
cana-2344	225	1	5	5	X
cana-2344	225	2	.	.	X
cana-2344	225	3	update	update	NOUN
cana-2344	225	4	phrase	phrase	NOUN
cana-2344	225	5	set	set	NOUN
cana-2344	225	6	:	:	PUNCT
cana-2344	225	7	retain	retain	VERB
cana-2344	225	8	high	high	ADJ
cana-2344	225	9	-	-	PUNCT
cana-2344	225	10	scoring	scoring	NOUN
cana-2344	225	11	phrases	phrase	NOUN
cana-2344	225	12	and	and	CCONJ
cana-2344	225	13	refine	refine	VERB
cana-2344	225	14	the	the	DET
cana-2344	225	15	set	set	NOUN
cana-2344	225	16	for	for	ADP
cana-2344	225	17	further	further	ADJ
cana-2344	225	18	optimization	optimization	NOUN
cana-2344	225	19	.	.	PUNCT
cana-2344	226	1	6	6	NUM
cana-2344	226	2	.	.	X
cana-2344	226	3	iterate	iterate	NOUN
cana-2344	226	4	and	and	CCONJ
cana-2344	226	5	refine	refine	ADJ
cana-2344	226	6	:	:	PUNCT
cana-2344	226	7	repeat	repeat	VERB
cana-2344	226	8	the	the	DET
cana-2344	226	9	process	process	NOUN
cana-2344	226	10	with	with	ADP
cana-2344	226	11	updated	update	VERB
cana-2344	226	12	weights	weight	NOUN
cana-2344	226	13	and	and	CCONJ
cana-2344	226	14	phrase	phrase	NOUN
cana-2344	226	15	interactions	interaction	NOUN
cana-2344	226	16	,	,	PUNCT
cana-2344	226	17	continuously	continuously	ADV
cana-2344	226	18	improving	improve	VERB
cana-2344	226	19	the	the	DET
cana-2344	226	20	feature	feature	NOUN
cana-2344	226	21	set	set	NOUN
cana-2344	226	22	.	.	PUNCT
cana-2344	227	1	this	this	DET
cana-2344	227	2	nonlinear	nonlinear	ADJ
cana-2344	227	3	evaluation	evaluation	NOUN
cana-2344	227	4	captures	capture	VERB
cana-2344	227	5	complex	complex	ADJ
cana-2344	227	6	phrase	phrase	NOUN
cana-2344	227	7	relationships	relationship	NOUN
cana-2344	227	8	,	,	PUNCT
cana-2344	227	9	refining	refine	VERB
cana-2344	227	10	the	the	DET
cana-2344	227	11	feature	feature	NOUN
cana-2344	227	12	selection	selection	NOUN
cana-2344	227	13	process	process	NOUN
cana-2344	227	14	to	to	PART
cana-2344	227	15	enhance	enhance	VERB
cana-2344	227	16	sentiment	sentiment	NOUN
cana-2344	227	17	classification	classification	NOUN
cana-2344	227	18	.	.	PUNCT
cana-2344	228	1	by	by	ADP
cana-2344	228	2	focusing	focus	VERB
cana-2344	228	3	on	on	ADP
cana-2344	228	4	the	the	DET
cana-2344	228	5	strongest	strong	ADJ
cana-2344	228	6	phrase	phrase	NOUN
cana-2344	228	7	interactions	interaction	NOUN
cana-2344	228	8	,	,	PUNCT
cana-2344	228	9	the	the	DET
cana-2344	228	10	system	system	NOUN
cana-2344	228	11	improves	improve	VERB
cana-2344	228	12	its	its	PRON
cana-2344	228	13	ability	ability	NOUN
cana-2344	228	14	to	to	PART
cana-2344	228	15	detect	detect	VERB
cana-2344	228	16	subtle	subtle	ADJ
cana-2344	228	17	shifts	shift	NOUN
cana-2344	228	18	in	in	ADP
cana-2344	228	19	sentiment	sentiment	NOUN
cana-2344	228	20	,	,	PUNCT
cana-2344	228	21	making	make	VERB
cana-2344	228	22	the	the	DET
cana-2344	228	23	analysis	analysis	NOUN
cana-2344	228	24	more	more	ADV
cana-2344	228	25	robust	robust	ADJ
cana-2344	228	26	and	and	CCONJ
cana-2344	228	27	precise	precise	ADJ
cana-2344	228	28	.	.	PUNCT
cana-2344	229	1	3.6	3.6	NUM
cana-2344	229	2	machine	machine	NOUN
cana-2344	229	3	learning	learn	VERB
cana-2344	229	4	classifier	classifier	NOUN
cana-2344	229	5	integration	integration	NOUN
cana-2344	229	6	integrating	integrate	VERB
cana-2344	229	7	machine	machine	NOUN
cana-2344	229	8	learning	learn	VERB
cana-2344	229	9	classifiers	classifier	NOUN
cana-2344	229	10	with	with	ADP
cana-2344	229	11	optimized	optimize	VERB
cana-2344	229	12	features	feature	NOUN
cana-2344	229	13	is	be	AUX
cana-2344	229	14	essential	essential	ADJ
cana-2344	229	15	for	for	ADP
cana-2344	229	16	effective	effective	ADJ
cana-2344	229	17	sentiment	sentiment	NOUN
cana-2344	229	18	analysis	analysis	NOUN
cana-2344	229	19	.	.	PUNCT
cana-2344	230	1	this	this	DET
cana-2344	230	2	step	step	NOUN
cana-2344	230	3	uses	use	VERB
cana-2344	230	4	refined	refined	ADJ
cana-2344	230	5	features	feature	NOUN
cana-2344	230	6	from	from	ADP
cana-2344	230	7	previous	previous	ADJ
cana-2344	230	8	modules	module	NOUN
cana-2344	230	9	to	to	PART
cana-2344	230	10	train	train	NOUN
cana-2344	230	11	classifiers	classifier	NOUN
cana-2344	230	12	,	,	PUNCT
cana-2344	230	13	enhancing	enhance	VERB
cana-2344	230	14	their	their	PRON
cana-2344	230	15	ability	ability	NOUN
cana-2344	230	16	to	to	PART
cana-2344	230	17	accurately	accurately	ADV
cana-2344	230	18	categorize	categorize	VERB
cana-2344	230	19	sentiments	sentiment	NOUN
cana-2344	230	20	in	in	ADP
cana-2344	230	21	the	the	DET
cana-2344	230	22	text	text	NOUN
cana-2344	230	23	.	.	PUNCT
cana-2344	231	1	the	the	DET
cana-2344	231	2	machine	machine	NOUN
cana-2344	231	3	learning	learn	VERB
cana-2344	231	4	classifier	classifier	NOUN
cana-2344	231	5	integration	integration	NOUN
cana-2344	231	6	takes	take	VERB
cana-2344	231	7	the	the	DET
cana-2344	231	8	refined	refined	ADJ
cana-2344	231	9	feature	feature	NOUN
cana-2344	231	10	set	set	VERB
cana-2344	231	11	from	from	ADP
cana-2344	231	12	the	the	DET
cana-2344	231	13	optimization	optimization	NOUN
cana-2344	231	14	process	process	NOUN
cana-2344	231	15	and	and	CCONJ
cana-2344	231	16	uses	use	VERB
cana-2344	231	17	it	it	PRON
cana-2344	231	18	to	to	PART
cana-2344	231	19	train	train	VERB
cana-2344	231	20	and	and	CCONJ
cana-2344	231	21	test	test	NOUN
cana-2344	231	22	sentiment	sentiment	NOUN
cana-2344	231	23	classification	classification	NOUN
cana-2344	231	24	models	model	NOUN
cana-2344	231	25	.	.	PUNCT
cana-2344	232	1	classifiers	classifier	NOUN
cana-2344	232	2	such	such	ADJ
cana-2344	232	3	as	as	ADP
cana-2344	232	4	adaboost	adaboost	ADV
cana-2344	232	5	,	,	PUNCT
cana-2344	232	6	support	support	VERB
cana-2344	232	7	vector	vector	NOUN
cana-2344	232	8	machines	machine	NOUN
cana-2344	232	9	(	(	PUNCT
cana-2344	232	10	svm	svm	PROPN
cana-2344	232	11	)	)	PUNCT
cana-2344	232	12	,	,	PUNCT
cana-2344	232	13	or	or	CCONJ
cana-2344	232	14	neural	neural	ADJ
cana-2344	232	15	networks	network	NOUN
cana-2344	232	16	are	be	AUX
cana-2344	232	17	commonly	commonly	ADV
cana-2344	232	18	employed	employ	VERB
cana-2344	232	19	due	due	ADP
cana-2344	232	20	to	to	ADP
cana-2344	232	21	their	their	PRON
cana-2344	232	22	robust	robust	ADJ
cana-2344	232	23	handling	handling	NOUN
cana-2344	232	24	of	of	ADP
cana-2344	232	25	complex	complex	ADJ
cana-2344	232	26	data	datum	NOUN
cana-2344	232	27	patterns	pattern	NOUN
cana-2344	232	28	.	.	PUNCT
cana-2344	233	1	the	the	DET
cana-2344	233	2	classifiers	classifier	NOUN
cana-2344	233	3	are	be	AUX
cana-2344	233	4	trained	train	VERB
cana-2344	233	5	on	on	ADP
cana-2344	233	6	the	the	DET
cana-2344	233	7	optimized	optimize	VERB
cana-2344	233	8	feature	feature	NOUN
cana-2344	233	9	set	set	NOUN
cana-2344	233	10	,	,	PUNCT
cana-2344	233	11	which	which	PRON
cana-2344	233	12	includes	include	VERB
cana-2344	233	13	n	n	CCONJ
cana-2344	233	14	-	-	PUNCT
cana-2344	233	15	grams	gram	NOUN
cana-2344	233	16	and	and	CCONJ
cana-2344	233	17	sentiment	sentiment	NOUN
cana-2344	233	18	-	-	PUNCT
cana-2344	233	19	weighted	weight	VERB
cana-2344	233	20	phrases	phrase	NOUN
cana-2344	233	21	,	,	PUNCT
cana-2344	233	22	ensuring	ensure	VERB
cana-2344	233	23	that	that	SCONJ
cana-2344	233	24	the	the	DET
cana-2344	233	25	input	input	NOUN
cana-2344	233	26	data	data	NOUN
cana-2344	233	27	is	be	AUX
cana-2344	233	28	rich	rich	ADJ
cana-2344	233	29	in	in	ADP
cana-2344	233	30	context	context	NOUN
cana-2344	233	31	and	and	CCONJ
cana-2344	233	32	relevance	relevance	NOUN
cana-2344	233	33	.	.	PUNCT
cana-2344	234	1	the	the	DET
cana-2344	234	2	integration	integration	NOUN
cana-2344	234	3	process	process	NOUN
cana-2344	234	4	involves	involve	VERB
cana-2344	234	5	feeding	feed	VERB
cana-2344	234	6	the	the	DET
cana-2344	234	7	selected	select	VERB
cana-2344	234	8	features	feature	NOUN
cana-2344	234	9	into	into	ADP
cana-2344	234	10	the	the	DET
cana-2344	234	11	classifier	classifier	NOUN
cana-2344	234	12	,	,	PUNCT
cana-2344	234	13	which	which	PRON
cana-2344	234	14	learns	learn	VERB
cana-2344	234	15	the	the	DET
cana-2344	234	16	patterns	pattern	NOUN
cana-2344	234	17	associated	associate	VERB
cana-2344	234	18	with	with	ADP
cana-2344	234	19	positive	positive	ADJ
cana-2344	234	20	,	,	PUNCT
cana-2344	234	21	negative	negative	ADJ
cana-2344	234	22	,	,	PUNCT
cana-2344	234	23	and	and	CCONJ
cana-2344	234	24	neutral	neutral	ADJ
cana-2344	234	25	sentiments	sentiment	NOUN
cana-2344	234	26	.	.	PUNCT
cana-2344	235	1	the	the	DET
cana-2344	235	2	classifier	classifier	NOUN
cana-2344	235	3	’s	’s	PART
cana-2344	235	4	performance	performance	NOUN
cana-2344	235	5	is	be	AUX
cana-2344	235	6	evaluated	evaluate	VERB
cana-2344	235	7	using	use	VERB
cana-2344	235	8	metrics	metric	NOUN
cana-2344	235	9	such	such	ADJ
cana-2344	235	10	as	as	ADP
cana-2344	235	11	accuracy	accuracy	NOUN
cana-2344	235	12	,	,	PUNCT
cana-2344	235	13	precision	precision	NOUN
cana-2344	235	14	,	,	PUNCT
cana-2344	235	15	recall	recall	NOUN
cana-2344	235	16	,	,	PUNCT
cana-2344	235	17	and	and	CCONJ
cana-2344	235	18	f1	f1	NOUN
cana-2344	235	19	-	-	PUNCT
cana-2344	235	20	score	score	NOUN
cana-2344	235	21	,	,	PUNCT
cana-2344	235	22	ensuring	ensure	VERB
cana-2344	235	23	that	that	SCONJ
cana-2344	235	24	only	only	ADV
cana-2344	235	25	the	the	DET
cana-2344	235	26	most	most	ADV
cana-2344	235	27	relevant	relevant	ADJ
cana-2344	235	28	features	feature	NOUN
cana-2344	235	29	contribute	contribute	VERB
cana-2344	235	30	to	to	ADP
cana-2344	235	31	the	the	DET
cana-2344	235	32	final	final	ADJ
cana-2344	235	33	sentiment	sentiment	NOUN
cana-2344	235	34	prediction	prediction	NOUN
cana-2344	235	35	.	.	PUNCT
cana-2344	236	1	this	this	DET
cana-2344	236	2	step	step	NOUN
cana-2344	236	3	directly	directly	ADV
cana-2344	236	4	links	link	VERB
cana-2344	236	5	the	the	DET
cana-2344	236	6	feature	feature	NOUN
cana-2344	236	7	refinement	refinement	NOUN
cana-2344	236	8	process	process	NOUN
cana-2344	236	9	with	with	ADP
cana-2344	236	10	practical	practical	ADJ
cana-2344	236	11	sentiment	sentiment	NOUN
cana-2344	236	12	classification	classification	NOUN
cana-2344	236	13	,	,	PUNCT
cana-2344	236	14	bridging	bridge	VERB
cana-2344	236	15	the	the	DET
cana-2344	236	16	gap	gap	NOUN
cana-2344	236	17	between	between	ADP
cana-2344	236	18	feature	feature	NOUN
cana-2344	236	19	optimization	optimization	NOUN
cana-2344	236	20	and	and	CCONJ
cana-2344	236	21	model	model	NOUN
cana-2344	236	22	performance	performance	NOUN
cana-2344	236	23	.	.	PUNCT
cana-2344	237	1	the	the	DET
cana-2344	237	2	use	use	NOUN
cana-2344	237	3	of	of	ADP
cana-2344	237	4	machine	machine	NOUN
cana-2344	237	5	learning	learn	VERB
cana-2344	237	6	classifiers	classifier	NOUN
cana-2344	237	7	provides	provide	VERB
cana-2344	237	8	flexibility	flexibility	NOUN
cana-2344	237	9	and	and	CCONJ
cana-2344	237	10	adaptability	adaptability	NOUN
cana-2344	237	11	,	,	PUNCT
cana-2344	237	12	allowing	allow	VERB
cana-2344	237	13	the	the	DET
cana-2344	237	14	system	system	NOUN
cana-2344	237	15	to	to	PART
cana-2344	237	16	adjust	adjust	VERB
cana-2344	237	17	to	to	ADP
cana-2344	237	18	various	various	ADJ
cana-2344	237	19	types	type	NOUN
cana-2344	237	20	of	of	ADP
cana-2344	237	21	sentiment	sentiment	NOUN
cana-2344	237	22	data	datum	NOUN
cana-2344	237	23	and	and	CCONJ
cana-2344	237	24	perform	perform	VERB
cana-2344	237	25	well	well	ADV
cana-2344	237	26	across	across	ADP
cana-2344	237	27	different	different	ADJ
cana-2344	237	28	domains	domain	NOUN
cana-2344	237	29	.	.	PUNCT
cana-2344	238	1	by	by	ADP
cana-2344	238	2	integrating	integrate	VERB
cana-2344	238	3	advanced	advanced	ADJ
cana-2344	238	4	classifiers	classifier	NOUN
cana-2344	238	5	with	with	ADP
cana-2344	238	6	carefully	carefully	ADV
cana-2344	238	7	selected	select	VERB
cana-2344	238	8	features	feature	NOUN
cana-2344	238	9	,	,	PUNCT
cana-2344	238	10	the	the	DET
cana-2344	238	11	overall	overall	ADJ
cana-2344	238	12	model	model	NOUN
cana-2344	238	13	achieves	achieve	VERB
cana-2344	238	14	high	high	ADJ
cana-2344	238	15	accuracy	accuracy	NOUN
cana-2344	238	16	and	and	CCONJ
cana-2344	238	17	efficiency	efficiency	NOUN
cana-2344	238	18	in	in	ADP
cana-2344	238	19	detecting	detect	VERB
cana-2344	238	20	and	and	CCONJ
cana-2344	238	21	categorizing	categorize	VERB
cana-2344	238	22	sentiments	sentiment	NOUN
cana-2344	238	23	.	.	PUNCT
cana-2344	239	1	4	4	NUM
cana-2344	239	2	experimental	experimental	ADJ
cana-2344	239	3	study	study	NOUN
cana-2344	239	4	the	the	DET
cana-2344	239	5	experimental	experimental	ADJ
cana-2344	239	6	study	study	NOUN
cana-2344	239	7	aims	aim	VERB
cana-2344	239	8	to	to	PART
cana-2344	239	9	evaluate	evaluate	VERB
cana-2344	239	10	the	the	DET
cana-2344	239	11	performance	performance	NOUN
cana-2344	239	12	of	of	ADP
cana-2344	239	13	the	the	DET
cana-2344	239	14	proposed	propose	VERB
cana-2344	239	15	dlsa	dlsa	ADJ
cana-2344	239	16	model	model	NOUN
cana-2344	239	17	against	against	ADP
cana-2344	239	18	the	the	DET
cana-2344	239	19	slpcf	slpcf	PROPN
cana-2344	239	20	model	model	NOUN
cana-2344	239	21	using	use	VERB
cana-2344	239	22	the	the	DET
cana-2344	239	23	same	same	ADJ
cana-2344	239	24	dataset	dataset	NOUN
cana-2344	239	25	.	.	PUNCT
cana-2344	240	1	a	a	DET
cana-2344	240	2	5	5	NUM
cana-2344	240	3	-	-	ADJ
cana-2344	240	4	fold	fold	ADJ
cana-2344	240	5	cross	cross	ADJ
cana-2344	240	6	-	-	ADJ
cana-2344	240	7	validation	validation	ADJ
cana-2344	240	8	method	method	NOUN
cana-2344	240	9	is	be	AUX
cana-2344	240	10	employed	employ	VERB
cana-2344	240	11	to	to	PART
cana-2344	240	12	ensure	ensure	VERB
cana-2344	240	13	the	the	DET
cana-2344	240	14	robustness	robustness	NOUN
cana-2344	240	15	and	and	CCONJ
cana-2344	240	16	reliability	reliability	NOUN
cana-2344	240	17	of	of	ADP
cana-2344	240	18	the	the	DET
cana-2344	240	19	results	result	NOUN
cana-2344	240	20	.	.	PUNCT
cana-2344	241	1	this	this	DET
cana-2344	241	2	section	section	NOUN
cana-2344	241	3	provides	provide	VERB
cana-2344	241	4	details	detail	NOUN
cana-2344	241	5	of	of	ADP
cana-2344	241	6	the	the	DET
cana-2344	241	7	experimental	experimental	ADJ
cana-2344	241	8	setup	setup	NOUN
cana-2344	241	9	,	,	PUNCT
cana-2344	241	10	evaluation	evaluation	NOUN
cana-2344	241	11	metrics	metric	NOUN
cana-2344	241	12	,	,	PUNCT
cana-2344	241	13	and	and	CCONJ
cana-2344	241	14	comparative	comparative	ADJ
cana-2344	241	15	analysis	analysis	NOUN
cana-2344	241	16	of	of	ADP
cana-2344	241	17	the	the	DET
cana-2344	241	18	outcomes	outcome	NOUN
cana-2344	241	19	.	.	PUNCT
cana-2344	242	1	4.1	4.1	NUM
cana-2344	242	2	experimental	experimental	ADJ
cana-2344	242	3	setup	setup	NOUN
cana-2344	242	4	this	this	DET
cana-2344	242	5	section	section	NOUN
cana-2344	242	6	details	detail	VERB
cana-2344	242	7	the	the	DET
cana-2344	242	8	dataset	dataset	NOUN
cana-2344	242	9	,	,	PUNCT
cana-2344	242	10	preprocessing	preprocessing	NOUN
cana-2344	242	11	procedures	procedure	NOUN
cana-2344	242	12	,	,	PUNCT
cana-2344	242	13	and	and	CCONJ
cana-2344	242	14	feature	feature	NOUN
cana-2344	242	15	extraction	extraction	NOUN
cana-2344	242	16	techniques	technique	NOUN
cana-2344	242	17	used	use	VERB
cana-2344	242	18	to	to	PART
cana-2344	242	19	evaluate	evaluate	VERB
cana-2344	242	20	dlsa	dlsa	NOUN
cana-2344	242	21	.	.	PUNCT
cana-2344	243	1	consistent	consistent	ADJ
cana-2344	243	2	conditions	condition	NOUN
cana-2344	243	3	with	with	ADP
cana-2344	243	4	slpcf	slpcf	NOUN
cana-2344	243	5	[	[	X
cana-2344	243	6	18	18	NUM
cana-2344	243	7	]	]	PUNCT
cana-2344	243	8	ensure	ensure	VERB
cana-2344	243	9	an	an	DET
cana-2344	243	10	objective	objective	ADJ
cana-2344	243	11	comparison	comparison	NOUN
cana-2344	243	12	of	of	ADP
cana-2344	243	13	the	the	DET
cana-2344	243	14	models	model	NOUN
cana-2344	243	15	.	.	PUNCT
cana-2344	244	1	communications	communication	NOUN
cana-2344	244	2	on	on	ADP
cana-2344	244	3	applied	apply	VERB
cana-2344	244	4	nonlinear	nonlinear	ADJ
cana-2344	244	5	analysis	analysis	NOUN
cana-2344	244	6	issn	issn	NOUN
cana-2344	244	7	:	:	PUNCT
cana-2344	244	8	1074	1074	NUM
cana-2344	244	9	-	-	PUNCT
cana-2344	244	10	133x	133x	NUM
cana-2344	244	11	vol	vol	NOUN
cana-2344	244	12	32	32	NUM
cana-2344	244	13	no	no	NOUN
cana-2344	244	14	.	.	PUNCT
cana-2344	245	1	1s	1s	NUM
cana-2344	245	2	(	(	PUNCT
cana-2344	245	3	2025	2025	NUM
cana-2344	245	4	)	)	PUNCT
cana-2344	245	5	566	566	NUM
cana-2344	245	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2344	245	7	the	the	DET
cana-2344	245	8	dataset	dataset	NOUN
cana-2344	245	9	consists	consist	VERB
cana-2344	245	10	of	of	ADP
cana-2344	245	11	28,000	28,000	NUM
cana-2344	245	12	sentiment	sentiment	NOUN
cana-2344	245	13	-	-	PUNCT
cana-2344	245	14	labeled	label	VERB
cana-2344	245	15	text	text	NOUN
cana-2344	245	16	entries	entry	NOUN
cana-2344	245	17	sourced	source	VERB
cana-2344	245	18	from	from	ADP
cana-2344	245	19	product	product	NOUN
cana-2344	245	20	reviews	review	NOUN
cana-2344	245	21	[	[	X
cana-2344	245	22	19	19	NUM
cana-2344	245	23	]	]	PUNCT
cana-2344	245	24	and	and	CCONJ
cana-2344	245	25	social	social	ADJ
cana-2344	245	26	media	medium	NOUN
cana-2344	245	27	comments	comment	NOUN
cana-2344	245	28	,	,	PUNCT
cana-2344	245	29	identical	identical	ADJ
cana-2344	245	30	to	to	ADP
cana-2344	245	31	those	those	PRON
cana-2344	245	32	used	use	VERB
cana-2344	245	33	in	in	ADP
cana-2344	245	34	slpcf	slpcf	NOUN
cana-2344	245	35	.	.	PUNCT
cana-2344	246	1	it	it	PRON
cana-2344	246	2	includes	include	VERB
cana-2344	246	3	16,000	16,000	NUM
cana-2344	246	4	positive	positive	ADJ
cana-2344	246	5	and	and	CCONJ
cana-2344	246	6	12,000	12,000	NUM
cana-2344	246	7	negative	negative	ADJ
cana-2344	246	8	opinions	opinion	NOUN
cana-2344	246	9	,	,	PUNCT
cana-2344	246	10	providing	provide	VERB
cana-2344	246	11	a	a	DET
cana-2344	246	12	balanced	balanced	ADJ
cana-2344	246	13	distribution	distribution	NOUN
cana-2344	246	14	of	of	ADP
cana-2344	246	15	sentiment	sentiment	NOUN
cana-2344	246	16	.	.	PUNCT
cana-2344	247	1	the	the	DET
cana-2344	247	2	dataset	dataset	NOUN
cana-2344	247	3	’s	’s	PART
cana-2344	247	4	diversity	diversity	NOUN
cana-2344	247	5	,	,	PUNCT
cana-2344	247	6	encompassing	encompass	VERB
cana-2344	247	7	colloquial	colloquial	ADJ
cana-2344	247	8	language	language	NOUN
cana-2344	247	9	and	and	CCONJ
cana-2344	247	10	domain	domain	NOUN
cana-2344	247	11	-	-	PUNCT
cana-2344	247	12	specific	specific	ADJ
cana-2344	247	13	expressions	expression	NOUN
cana-2344	247	14	,	,	PUNCT
cana-2344	247	15	presents	present	VERB
cana-2344	247	16	a	a	DET
cana-2344	247	17	realistic	realistic	ADJ
cana-2344	247	18	challenge	challenge	NOUN
cana-2344	247	19	for	for	ADP
cana-2344	247	20	sentiment	sentiment	NOUN
cana-2344	247	21	analysis	analysis	NOUN
cana-2344	247	22	models	model	NOUN
cana-2344	247	23	,	,	PUNCT
cana-2344	247	24	allowing	allow	VERB
cana-2344	247	25	for	for	ADP
cana-2344	247	26	a	a	DET
cana-2344	247	27	comprehensive	comprehensive	ADJ
cana-2344	247	28	evaluation	evaluation	NOUN
cana-2344	247	29	of	of	ADP
cana-2344	247	30	dlsa	dlsa	ADJ
cana-2344	247	31	’s	’s	PART
cana-2344	247	32	performance	performance	NOUN
cana-2344	247	33	.	.	PUNCT
cana-2344	248	1	preprocessing	preprocesse	VERB
cana-2344	248	2	aims	aim	NOUN
cana-2344	248	3	to	to	PART
cana-2344	248	4	clean	clean	VERB
cana-2344	248	5	and	and	CCONJ
cana-2344	248	6	standardize	standardize	VERB
cana-2344	248	7	the	the	DET
cana-2344	248	8	text	text	NOUN
cana-2344	248	9	data	datum	NOUN
cana-2344	248	10	,	,	PUNCT
cana-2344	248	11	enhancing	enhance	VERB
cana-2344	248	12	feature	feature	NOUN
cana-2344	248	13	extraction	extraction	NOUN
cana-2344	248	14	and	and	CCONJ
cana-2344	248	15	model	model	NOUN
cana-2344	248	16	performance	performance	NOUN
cana-2344	248	17	.	.	PUNCT
cana-2344	249	1	text	text	NOUN
cana-2344	249	2	cleaning	cleaning	NOUN
cana-2344	249	3	removes	remove	VERB
cana-2344	249	4	punctuation	punctuation	NOUN
cana-2344	249	5	,	,	PUNCT
cana-2344	249	6	special	special	ADJ
cana-2344	249	7	characters	character	NOUN
cana-2344	249	8	,	,	PUNCT
cana-2344	249	9	and	and	CCONJ
cana-2344	249	10	irrelevant	irrelevant	ADJ
cana-2344	249	11	symbols	symbol	NOUN
cana-2344	249	12	,	,	PUNCT
cana-2344	249	13	converting	convert	VERB
cana-2344	249	14	all	all	DET
cana-2344	249	15	text	text	NOUN
cana-2344	249	16	to	to	PART
cana-2344	249	17	lowercase	lowercase	VERB
cana-2344	249	18	for	for	ADP
cana-2344	249	19	uniformity	uniformity	NOUN
cana-2344	249	20	.	.	PUNCT
cana-2344	250	1	tokenization	tokenization	NOUN
cana-2344	250	2	splits	split	VERB
cana-2344	250	3	the	the	DET
cana-2344	250	4	text	text	NOUN
cana-2344	250	5	into	into	ADP
cana-2344	250	6	individual	individual	ADJ
cana-2344	250	7	words	word	NOUN
cana-2344	250	8	and	and	CCONJ
cana-2344	250	9	phrases	phrase	NOUN
cana-2344	250	10	,	,	PUNCT
cana-2344	250	11	structuring	structure	VERB
cana-2344	250	12	the	the	DET
cana-2344	250	13	data	datum	NOUN
cana-2344	250	14	for	for	ADP
cana-2344	250	15	further	further	ADJ
cana-2344	250	16	analysis	analysis	NOUN
cana-2344	250	17	.	.	PUNCT
cana-2344	251	1	stemming	stem	VERB
cana-2344	251	2	and	and	CCONJ
cana-2344	251	3	lemmatization	lemmatization	NOUN
cana-2344	251	4	simplify	simplify	NOUN
cana-2344	251	5	words	word	NOUN
cana-2344	251	6	to	to	ADP
cana-2344	251	7	their	their	PRON
cana-2344	251	8	root	root	NOUN
cana-2344	251	9	forms	form	NOUN
cana-2344	251	10	,	,	PUNCT
cana-2344	251	11	ensuring	ensure	VERB
cana-2344	251	12	consistency	consistency	NOUN
cana-2344	251	13	across	across	ADP
cana-2344	251	14	features	feature	NOUN
cana-2344	251	15	.	.	PUNCT
cana-2344	252	1	stop	stop	VERB
cana-2344	252	2	words	word	NOUN
cana-2344	252	3	,	,	PUNCT
cana-2344	252	4	such	such	ADJ
cana-2344	252	5	as	as	ADP
cana-2344	252	6	“	"	PUNCT
cana-2344	252	7	the	the	PRON
cana-2344	252	8	,	,	PUNCT
cana-2344	252	9	”	"	PUNCT
cana-2344	252	10	“	"	PUNCT
cana-2344	252	11	and	and	CCONJ
cana-2344	252	12	,	,	PUNCT
cana-2344	252	13	”	"	PUNCT
cana-2344	252	14	and	and	CCONJ
cana-2344	252	15	“	"	PUNCT
cana-2344	252	16	is	be	AUX
cana-2344	252	17	,	,	PUNCT
cana-2344	252	18	”	"	PUNCT
cana-2344	252	19	are	be	AUX
cana-2344	252	20	removed	remove	VERB
cana-2344	252	21	to	to	PART
cana-2344	252	22	focus	focus	VERB
cana-2344	252	23	on	on	ADP
cana-2344	252	24	sentiment	sentiment	NOUN
cana-2344	252	25	-	-	PUNCT
cana-2344	252	26	bearing	bear	VERB
cana-2344	252	27	terms	term	NOUN
cana-2344	252	28	.	.	PUNCT
cana-2344	253	1	parts	part	NOUN
cana-2344	253	2	-	-	PUNCT
cana-2344	253	3	of	of	ADP
cana-2344	253	4	-	-	PUNCT
cana-2344	253	5	speech	speech	NOUN
cana-2344	253	6	tagging	tagging	NOUN
cana-2344	253	7	identifies	identify	VERB
cana-2344	253	8	crucial	crucial	ADJ
cana-2344	253	9	elements	element	NOUN
cana-2344	253	10	like	like	ADP
cana-2344	253	11	adjectives	adjective	NOUN
cana-2344	253	12	and	and	CCONJ
cana-2344	253	13	verbs	verb	NOUN
cana-2344	253	14	,	,	PUNCT
cana-2344	253	15	while	while	SCONJ
cana-2344	253	16	named	name	VERB
cana-2344	253	17	entity	entity	NOUN
cana-2344	253	18	recognition	recognition	NOUN
cana-2344	253	19	(	(	PUNCT
cana-2344	253	20	ner	ner	NOUN
cana-2344	253	21	)	)	PUNCT
cana-2344	253	22	highlights	highlight	VERB
cana-2344	253	23	important	important	ADJ
cana-2344	253	24	entities	entity	NOUN
cana-2344	253	25	such	such	ADJ
cana-2344	253	26	as	as	ADP
cana-2344	253	27	product	product	NOUN
cana-2344	253	28	names	name	NOUN
cana-2344	253	29	,	,	PUNCT
cana-2344	253	30	adding	add	VERB
cana-2344	253	31	contextual	contextual	ADJ
cana-2344	253	32	understanding	understanding	NOUN
cana-2344	253	33	.	.	PUNCT
cana-2344	254	1	these	these	DET
cana-2344	254	2	preprocessing	preprocessing	NOUN
cana-2344	254	3	steps	step	NOUN
cana-2344	254	4	mirror	mirror	VERB
cana-2344	254	5	those	those	PRON
cana-2344	254	6	used	use	VERB
cana-2344	254	7	in	in	ADP
cana-2344	254	8	slpcf	slpcf	NOUN
cana-2344	254	9	,	,	PUNCT
cana-2344	254	10	ensuring	ensure	VERB
cana-2344	254	11	consistency	consistency	NOUN
cana-2344	254	12	in	in	ADP
cana-2344	254	13	data	datum	NOUN
cana-2344	254	14	preparation	preparation	NOUN
cana-2344	254	15	.	.	PUNCT
cana-2344	255	1	feature	feature	NOUN
cana-2344	255	2	extraction	extraction	NOUN
cana-2344	255	3	in	in	ADP
cana-2344	255	4	dlsa	dlsa	ADJ
cana-2344	255	5	emphasizes	emphasize	VERB
cana-2344	255	6	refining	refining	NOUN
cana-2344	255	7	sentiment	sentiment	NOUN
cana-2344	255	8	-	-	PUNCT
cana-2344	255	9	bearing	bear	VERB
cana-2344	255	10	phrases	phrase	NOUN
cana-2344	255	11	through	through	ADP
cana-2344	255	12	advanced	advanced	ADJ
cana-2344	255	13	optimization	optimization	NOUN
cana-2344	255	14	techniques	technique	NOUN
cana-2344	255	15	.	.	PUNCT
cana-2344	256	1	initially	initially	ADV
cana-2344	256	2	,	,	PUNCT
cana-2344	256	3	unigrams	unigram	NOUN
cana-2344	256	4	,	,	PUNCT
cana-2344	256	5	bigrams	bigram	NOUN
cana-2344	256	6	,	,	PUNCT
cana-2344	256	7	and	and	CCONJ
cana-2344	256	8	trigrams	trigram	NOUN
cana-2344	256	9	are	be	AUX
cana-2344	256	10	extracted	extract	VERB
cana-2344	256	11	to	to	PART
cana-2344	256	12	capture	capture	VERB
cana-2344	256	13	both	both	PRON
cana-2344	256	14	individual	individual	ADJ
cana-2344	256	15	words	word	NOUN
cana-2344	256	16	and	and	CCONJ
cana-2344	256	17	contextual	contextual	ADJ
cana-2344	256	18	sentiment	sentiment	NOUN
cana-2344	256	19	expressions	expression	NOUN
cana-2344	256	20	.	.	PUNCT
cana-2344	257	1	sentiment	sentiment	NOUN
cana-2344	257	2	lexicons	lexicon	NOUN
cana-2344	257	3	are	be	AUX
cana-2344	257	4	integrated	integrate	VERB
cana-2344	257	5	to	to	PART
cana-2344	257	6	tag	tag	VERB
cana-2344	257	7	extracted	extract	VERB
cana-2344	257	8	phrases	phrase	NOUN
cana-2344	257	9	as	as	ADP
cana-2344	257	10	positive	positive	ADJ
cana-2344	257	11	,	,	PUNCT
cana-2344	257	12	negative	negative	ADJ
cana-2344	257	13	,	,	PUNCT
cana-2344	257	14	or	or	CCONJ
cana-2344	257	15	neutral	neutral	ADJ
cana-2344	257	16	,	,	PUNCT
cana-2344	257	17	directly	directly	ADV
cana-2344	257	18	associating	associate	VERB
cana-2344	257	19	features	feature	NOUN
cana-2344	257	20	with	with	ADP
cana-2344	257	21	sentiment	sentiment	NOUN
cana-2344	257	22	values	value	NOUN
cana-2344	257	23	.	.	PUNCT
cana-2344	258	1	this	this	DET
cana-2344	258	2	tagging	tagging	NOUN
cana-2344	258	3	improves	improve	VERB
cana-2344	258	4	the	the	DET
cana-2344	258	5	model	model	NOUN
cana-2344	258	6	’s	’s	PART
cana-2344	258	7	ability	ability	NOUN
cana-2344	258	8	to	to	PART
cana-2344	258	9	detect	detect	VERB
cana-2344	258	10	sentiment	sentiment	NOUN
cana-2344	258	11	patterns	pattern	NOUN
cana-2344	258	12	.	.	PUNCT
cana-2344	259	1	the	the	DET
cana-2344	259	2	nonlinear	nonlinear	ADJ
cana-2344	259	3	phrase	phrase	NOUN
cana-2344	259	4	concurrence	concurrence	NOUN
cana-2344	259	5	analysis	analysis	NOUN
cana-2344	259	6	evaluates	evaluate	VERB
cana-2344	259	7	the	the	DET
cana-2344	259	8	co	co	NOUN
cana-2344	259	9	-	-	NOUN
cana-2344	259	10	occurrence	occurrence	NOUN
cana-2344	259	11	of	of	ADP
cana-2344	259	12	phrases	phrase	NOUN
cana-2344	259	13	,	,	PUNCT
cana-2344	259	14	capturing	capture	VERB
cana-2344	259	15	complex	complex	ADJ
cana-2344	259	16	interactions	interaction	NOUN
cana-2344	259	17	that	that	PRON
cana-2344	259	18	go	go	VERB
cana-2344	259	19	beyond	beyond	ADP
cana-2344	259	20	simple	simple	ADJ
cana-2344	259	21	frequency	frequency	NOUN
cana-2344	259	22	counts	count	NOUN
cana-2344	259	23	.	.	PUNCT
cana-2344	260	1	this	this	DET
cana-2344	260	2	method	method	NOUN
cana-2344	260	3	identifies	identify	VERB
cana-2344	260	4	intricate	intricate	ADJ
cana-2344	260	5	relationships	relationship	NOUN
cana-2344	260	6	that	that	PRON
cana-2344	260	7	enhance	enhance	VERB
cana-2344	260	8	sentiment	sentiment	NOUN
cana-2344	260	9	detection	detection	NOUN
cana-2344	260	10	.	.	PUNCT
cana-2344	261	1	the	the	DET
cana-2344	261	2	genetic	genetic	ADJ
cana-2344	261	3	algorithm	algorithm	NOUN
cana-2344	261	4	then	then	ADV
cana-2344	261	5	optimizes	optimize	VERB
cana-2344	261	6	the	the	DET
cana-2344	261	7	feature	feature	NOUN
cana-2344	261	8	set	set	VERB
cana-2344	261	9	by	by	ADP
cana-2344	261	10	iteratively	iteratively	ADV
cana-2344	261	11	selecting	select	VERB
cana-2344	261	12	the	the	DET
cana-2344	261	13	most	most	ADV
cana-2344	261	14	impactful	impactful	ADJ
cana-2344	261	15	combinations	combination	NOUN
cana-2344	261	16	based	base	VERB
cana-2344	261	17	on	on	ADP
cana-2344	261	18	fitness	fitness	NOUN
cana-2344	261	19	scores	score	NOUN
cana-2344	261	20	,	,	PUNCT
cana-2344	261	21	reducing	reduce	VERB
cana-2344	261	22	noise	noise	NOUN
cana-2344	261	23	and	and	CCONJ
cana-2344	261	24	improving	improve	VERB
cana-2344	261	25	classification	classification	NOUN
cana-2344	261	26	quality	quality	NOUN
cana-2344	261	27	.	.	PUNCT
cana-2344	262	1	these	these	DET
cana-2344	262	2	optimized	optimize	VERB
cana-2344	262	3	features	feature	NOUN
cana-2344	262	4	are	be	AUX
cana-2344	262	5	used	use	VERB
cana-2344	262	6	to	to	PART
cana-2344	262	7	train	train	VERB
cana-2344	262	8	dlsa	dlsa	VERB
cana-2344	262	9	,	,	PUNCT
cana-2344	262	10	allowing	allow	VERB
cana-2344	262	11	it	it	PRON
cana-2344	262	12	to	to	PART
cana-2344	262	13	perform	perform	VERB
cana-2344	262	14	better	well	ADV
cana-2344	262	15	than	than	ADP
cana-2344	262	16	slpcf	slpcf	NOUN
cana-2344	262	17	by	by	ADP
cana-2344	262	18	accurately	accurately	ADV
cana-2344	262	19	capturing	capture	VERB
cana-2344	262	20	nuanced	nuanced	ADJ
cana-2344	262	21	sentiment	sentiment	NOUN
cana-2344	262	22	patterns	pattern	NOUN
cana-2344	262	23	within	within	ADP
cana-2344	262	24	the	the	DET
cana-2344	262	25	data	datum	NOUN
cana-2344	262	26	.	.	PUNCT
cana-2344	263	1	4.2	4.2	NUM
cana-2344	263	2	cross	cross	ADJ
cana-2344	263	3	-	-	ADJ
cana-2344	263	4	validation	validation	ADJ
cana-2344	263	5	methodology	methodology	NOUN
cana-2344	263	6	the	the	DET
cana-2344	263	7	cross	cross	ADJ
cana-2344	263	8	-	-	ADJ
cana-2344	263	9	validation	validation	ADJ
cana-2344	263	10	methodology	methodology	NOUN
cana-2344	263	11	assesses	assess	VERB
cana-2344	263	12	the	the	DET
cana-2344	263	13	robustness	robustness	NOUN
cana-2344	263	14	and	and	CCONJ
cana-2344	263	15	reliability	reliability	NOUN
cana-2344	263	16	of	of	ADP
cana-2344	263	17	the	the	DET
cana-2344	263	18	dlsa	dlsa	ADJ
cana-2344	263	19	model	model	NOUN
cana-2344	263	20	by	by	ADP
cana-2344	263	21	systematically	systematically	ADV
cana-2344	263	22	testing	test	VERB
cana-2344	263	23	its	its	PRON
cana-2344	263	24	performance	performance	NOUN
cana-2344	263	25	across	across	ADP
cana-2344	263	26	multiple	multiple	ADJ
cana-2344	263	27	data	datum	NOUN
cana-2344	263	28	subsets	subset	NOUN
cana-2344	263	29	.	.	PUNCT
cana-2344	264	1	a	a	DET
cana-2344	264	2	5	5	NUM
cana-2344	264	3	-	-	ADJ
cana-2344	264	4	fold	fold	ADJ
cana-2344	264	5	cross	cross	ADJ
cana-2344	264	6	-	-	ADJ
cana-2344	264	7	validation	validation	ADJ
cana-2344	264	8	approach	approach	NOUN
cana-2344	264	9	is	be	AUX
cana-2344	264	10	employed	employ	VERB
cana-2344	264	11	,	,	PUNCT
cana-2344	264	12	providing	provide	VERB
cana-2344	264	13	a	a	DET
cana-2344	264	14	comprehensive	comprehensive	ADJ
cana-2344	264	15	evaluation	evaluation	NOUN
cana-2344	264	16	that	that	PRON
cana-2344	264	17	reduces	reduce	VERB
cana-2344	264	18	bias	bias	NOUN
cana-2344	264	19	and	and	CCONJ
cana-2344	264	20	variance	variance	NOUN
cana-2344	264	21	in	in	ADP
cana-2344	264	22	the	the	DET
cana-2344	264	23	results	result	NOUN
cana-2344	264	24	.	.	PUNCT
cana-2344	265	1	the	the	DET
cana-2344	265	2	5	5	NUM
cana-2344	265	3	-	-	ADJ
cana-2344	265	4	fold	fold	ADJ
cana-2344	265	5	cross	cross	ADJ
cana-2344	265	6	-	-	ADJ
cana-2344	265	7	validation	validation	ADJ
cana-2344	265	8	method	method	NOUN
cana-2344	265	9	splits	split	VERB
cana-2344	265	10	the	the	DET
cana-2344	265	11	dataset	dataset	NOUN
cana-2344	265	12	into	into	ADP
cana-2344	265	13	five	five	NUM
cana-2344	265	14	equal	equal	ADJ
cana-2344	265	15	parts	part	NOUN
cana-2344	265	16	,	,	PUNCT
cana-2344	265	17	ensuring	ensure	VERB
cana-2344	265	18	an	an	DET
cana-2344	265	19	even	even	ADJ
cana-2344	265	20	distribution	distribution	NOUN
cana-2344	265	21	of	of	ADP
cana-2344	265	22	positive	positive	ADJ
cana-2344	265	23	and	and	CCONJ
cana-2344	265	24	negative	negative	ADJ
cana-2344	265	25	sentiments	sentiment	NOUN
cana-2344	265	26	in	in	ADP
cana-2344	265	27	each	each	DET
cana-2344	265	28	subset	subset	NOUN
cana-2344	265	29	.	.	PUNCT
cana-2344	266	1	in	in	ADP
cana-2344	266	2	each	each	DET
cana-2344	266	3	iteration	iteration	NOUN
cana-2344	266	4	,	,	PUNCT
cana-2344	266	5	one	one	NUM
cana-2344	266	6	subset	subset	NOUN
cana-2344	266	7	serves	serve	VERB
cana-2344	266	8	as	as	ADP
cana-2344	266	9	the	the	DET
cana-2344	266	10	test	test	NOUN
cana-2344	266	11	set	set	NOUN
cana-2344	266	12	,	,	PUNCT
cana-2344	266	13	while	while	SCONJ
cana-2344	266	14	the	the	DET
cana-2344	266	15	remaining	remain	VERB
cana-2344	266	16	four	four	NUM
cana-2344	266	17	subsets	subset	NOUN
cana-2344	266	18	are	be	AUX
cana-2344	266	19	combined	combine	VERB
cana-2344	266	20	to	to	PART
cana-2344	266	21	form	form	VERB
cana-2344	266	22	the	the	DET
cana-2344	266	23	training	training	NOUN
cana-2344	266	24	set	set	NOUN
cana-2344	266	25	.	.	PUNCT
cana-2344	267	1	this	this	DET
cana-2344	267	2	rotation	rotation	NOUN
cana-2344	267	3	continues	continue	VERB
cana-2344	267	4	until	until	SCONJ
cana-2344	267	5	each	each	DET
cana-2344	267	6	subset	subset	NOUN
cana-2344	267	7	has	have	AUX
cana-2344	267	8	been	be	AUX
cana-2344	267	9	used	use	VERB
cana-2344	267	10	as	as	ADP
cana-2344	267	11	the	the	DET
cana-2344	267	12	test	test	NOUN
cana-2344	267	13	set	set	VERB
cana-2344	267	14	once	once	ADV
cana-2344	267	15	,	,	PUNCT
cana-2344	267	16	providing	provide	VERB
cana-2344	267	17	five	five	NUM
cana-2344	267	18	separate	separate	ADJ
cana-2344	267	19	evaluations	evaluation	NOUN
cana-2344	267	20	of	of	ADP
cana-2344	267	21	the	the	DET
cana-2344	267	22	model	model	NOUN
cana-2344	267	23	.	.	PUNCT
cana-2344	268	1	this	this	DET
cana-2344	268	2	approach	approach	NOUN
cana-2344	268	3	ensures	ensure	VERB
cana-2344	268	4	that	that	SCONJ
cana-2344	268	5	every	every	DET
cana-2344	268	6	data	data	NOUN
cana-2344	268	7	point	point	NOUN
cana-2344	268	8	is	be	AUX
cana-2344	268	9	used	use	VERB
cana-2344	268	10	for	for	ADP
cana-2344	268	11	both	both	DET
cana-2344	268	12	training	training	NOUN
cana-2344	268	13	and	and	CCONJ
cana-2344	268	14	testing	testing	NOUN
cana-2344	268	15	,	,	PUNCT
cana-2344	268	16	maximizing	maximize	VERB
cana-2344	268	17	the	the	DET
cana-2344	268	18	dataset	dataset	NOUN
cana-2344	268	19	's	's	PART
cana-2344	268	20	utility	utility	NOUN
cana-2344	268	21	and	and	CCONJ
cana-2344	268	22	offering	offer	VERB
cana-2344	268	23	a	a	DET
cana-2344	268	24	balanced	balanced	ADJ
cana-2344	268	25	assessment	assessment	NOUN
cana-2344	268	26	of	of	ADP
cana-2344	268	27	the	the	DET
cana-2344	268	28	model	model	NOUN
cana-2344	268	29	’s	’s	PART
cana-2344	268	30	performance	performance	NOUN
cana-2344	268	31	.	.	PUNCT
cana-2344	269	1	in	in	ADP
cana-2344	269	2	each	each	DET
cana-2344	269	3	fold	fold	NOUN
cana-2344	269	4	,	,	PUNCT
cana-2344	269	5	dlsa	dlsa	ADJ
cana-2344	269	6	is	be	AUX
cana-2344	269	7	trained	train	VERB
cana-2344	269	8	using	use	VERB
cana-2344	269	9	the	the	DET
cana-2344	269	10	four	four	NUM
cana-2344	269	11	training	training	NOUN
cana-2344	269	12	subsets	subset	NOUN
cana-2344	269	13	,	,	PUNCT
cana-2344	269	14	where	where	SCONJ
cana-2344	269	15	the	the	DET
cana-2344	269	16	optimized	optimize	VERB
cana-2344	269	17	features	feature	NOUN
cana-2344	269	18	from	from	ADP
cana-2344	269	19	the	the	DET
cana-2344	269	20	genetic	genetic	ADJ
cana-2344	269	21	algorithm	algorithm	NOUN
cana-2344	269	22	and	and	CCONJ
cana-2344	269	23	nonlinear	nonlinear	ADJ
cana-2344	269	24	phrase	phrase	NOUN
cana-2344	269	25	concurrence	concurrence	NOUN
cana-2344	269	26	evaluation	evaluation	NOUN
cana-2344	269	27	are	be	AUX
cana-2344	269	28	applied	apply	VERB
cana-2344	269	29	.	.	PUNCT
cana-2344	270	1	the	the	DET
cana-2344	270	2	model	model	NOUN
cana-2344	270	3	learns	learn	VERB
cana-2344	270	4	the	the	DET
cana-2344	270	5	sentiment	sentiment	NOUN
cana-2344	270	6	patterns	pattern	NOUN
cana-2344	270	7	within	within	ADP
cana-2344	270	8	the	the	DET
cana-2344	270	9	training	training	NOUN
cana-2344	270	10	data	datum	NOUN
cana-2344	270	11	,	,	PUNCT
cana-2344	270	12	adjusting	adjust	VERB
cana-2344	270	13	its	its	PRON
cana-2344	270	14	parameters	parameter	NOUN
cana-2344	270	15	to	to	PART
cana-2344	270	16	minimize	minimize	VERB
cana-2344	270	17	classification	classification	NOUN
cana-2344	270	18	errors	error	NOUN
cana-2344	270	19	.	.	PUNCT
cana-2344	271	1	after	after	ADP
cana-2344	271	2	training	training	NOUN
cana-2344	271	3	,	,	PUNCT
cana-2344	271	4	the	the	DET
cana-2344	271	5	model	model	NOUN
cana-2344	271	6	is	be	AUX
cana-2344	271	7	tested	test	VERB
cana-2344	271	8	on	on	ADP
cana-2344	271	9	the	the	DET
cana-2344	271	10	fifth	fifth	ADJ
cana-2344	271	11	subset	subset	NOUN
cana-2344	271	12	to	to	PART
cana-2344	271	13	evaluate	evaluate	VERB
cana-2344	271	14	its	its	PRON
cana-2344	271	15	classification	classification	NOUN
cana-2344	271	16	accuracy	accuracy	NOUN
cana-2344	271	17	,	,	PUNCT
cana-2344	271	18	precision	precision	NOUN
cana-2344	271	19	,	,	PUNCT
cana-2344	271	20	recall	recall	NOUN
cana-2344	271	21	,	,	PUNCT
cana-2344	271	22	f1	f1	NOUN
cana-2344	271	23	-	-	PUNCT
cana-2344	271	24	score	score	NOUN
cana-2344	271	25	,	,	PUNCT
cana-2344	271	26	and	and	CCONJ
cana-2344	271	27	mcc	mcc	PROPN
cana-2344	271	28	.	.	PROPN
cana-2344	271	29	communications	communication	NOUN
cana-2344	271	30	on	on	ADP
cana-2344	271	31	applied	apply	VERB
cana-2344	271	32	nonlinear	nonlinear	ADJ
cana-2344	271	33	analysis	analysis	NOUN
cana-2344	271	34	issn	issn	NOUN
cana-2344	271	35	:	:	PUNCT
cana-2344	271	36	1074	1074	NUM
cana-2344	271	37	-	-	PUNCT
cana-2344	271	38	133x	133x	NUM
cana-2344	271	39	vol	vol	NOUN
cana-2344	271	40	32	32	NUM
cana-2344	272	1	no	no	NOUN
cana-2344	272	2	.	.	PUNCT
cana-2344	273	1	1s	1s	NUM
cana-2344	273	2	(	(	PUNCT
cana-2344	273	3	2025	2025	NUM
cana-2344	273	4	)	)	PUNCT
cana-2344	273	5	567	567	NUM
cana-2344	273	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2344	273	7	this	this	DET
cana-2344	273	8	procedure	procedure	NOUN
cana-2344	273	9	is	be	AUX
cana-2344	273	10	repeated	repeat	VERB
cana-2344	273	11	across	across	ADP
cana-2344	273	12	all	all	DET
cana-2344	273	13	five	five	NUM
cana-2344	273	14	folds	fold	NOUN
cana-2344	273	15	,	,	PUNCT
cana-2344	273	16	providing	provide	VERB
cana-2344	273	17	a	a	DET
cana-2344	273	18	total	total	NOUN
cana-2344	273	19	of	of	ADP
cana-2344	273	20	five	five	NUM
cana-2344	273	21	performance	performance	NOUN
cana-2344	273	22	evaluations	evaluation	NOUN
cana-2344	273	23	.	.	PUNCT
cana-2344	274	1	the	the	DET
cana-2344	274	2	results	result	NOUN
cana-2344	274	3	from	from	ADP
cana-2344	274	4	each	each	DET
cana-2344	274	5	fold	fold	NOUN
cana-2344	274	6	are	be	AUX
cana-2344	274	7	averaged	average	VERB
cana-2344	274	8	to	to	PART
cana-2344	274	9	give	give	VERB
cana-2344	274	10	an	an	DET
cana-2344	274	11	overall	overall	ADJ
cana-2344	274	12	performance	performance	NOUN
cana-2344	274	13	measure	measure	NOUN
cana-2344	274	14	,	,	PUNCT
cana-2344	274	15	ensuring	ensure	VERB
cana-2344	274	16	that	that	SCONJ
cana-2344	274	17	the	the	DET
cana-2344	274	18	evaluation	evaluation	NOUN
cana-2344	274	19	captures	capture	VERB
cana-2344	274	20	the	the	DET
cana-2344	274	21	model	model	NOUN
cana-2344	274	22	’s	’s	PART
cana-2344	274	23	strengths	strength	NOUN
cana-2344	274	24	and	and	CCONJ
cana-2344	274	25	weaknesses	weakness	NOUN
cana-2344	274	26	across	across	ADP
cana-2344	274	27	different	different	ADJ
cana-2344	274	28	parts	part	NOUN
cana-2344	274	29	of	of	ADP
cana-2344	274	30	the	the	DET
cana-2344	274	31	dataset	dataset	NOUN
cana-2344	274	32	.	.	PUNCT
cana-2344	275	1	this	this	DET
cana-2344	275	2	process	process	NOUN
cana-2344	275	3	validates	validate	VERB
cana-2344	275	4	dlsa	dlsa	VERB
cana-2344	275	5	’s	’s	PART
cana-2344	275	6	ability	ability	NOUN
cana-2344	275	7	to	to	PART
cana-2344	275	8	generalize	generalize	VERB
cana-2344	275	9	its	its	PRON
cana-2344	275	10	learning	learning	NOUN
cana-2344	275	11	to	to	ADP
cana-2344	275	12	unseen	unseen	ADJ
cana-2344	275	13	data	datum	NOUN
cana-2344	275	14	,	,	PUNCT
cana-2344	275	15	confirming	confirm	VERB
cana-2344	275	16	its	its	PRON
cana-2344	275	17	effectiveness	effectiveness	NOUN
cana-2344	275	18	and	and	CCONJ
cana-2344	275	19	stability	stability	NOUN
cana-2344	275	20	compared	compare	VERB
cana-2344	275	21	to	to	ADP
cana-2344	275	22	the	the	DET
cana-2344	275	23	baseline	baseline	ADJ
cana-2344	275	24	slpcf	slpcf	PROPN
cana-2344	275	25	model	model	PROPN
cana-2344	275	26	.	.	PUNCT
cana-2344	276	1	the	the	DET
cana-2344	276	2	5	5	NUM
cana-2344	276	3	-	-	ADJ
cana-2344	276	4	fold	fold	ADJ
cana-2344	276	5	cross	cross	NOUN
cana-2344	276	6	-	-	ADJ
cana-2344	276	7	validation	validation	NOUN
cana-2344	276	8	thus	thus	ADV
cana-2344	276	9	serves	serve	VERB
cana-2344	276	10	as	as	ADP
cana-2344	276	11	a	a	DET
cana-2344	276	12	rigorous	rigorous	ADJ
cana-2344	276	13	test	test	NOUN
cana-2344	276	14	of	of	ADP
cana-2344	276	15	dlsa	dlsa	NOUN
cana-2344	276	16	’s	’s	PART
cana-2344	276	17	adaptability	adaptability	NOUN
cana-2344	276	18	and	and	CCONJ
cana-2344	276	19	performance	performance	NOUN
cana-2344	276	20	in	in	ADP
cana-2344	276	21	real	real	ADJ
cana-2344	276	22	-	-	PUNCT
cana-2344	276	23	world	world	NOUN
cana-2344	276	24	sentiment	sentiment	NOUN
cana-2344	276	25	analysis	analysis	NOUN
cana-2344	276	26	tasks	task	NOUN
cana-2344	276	27	.	.	PUNCT
cana-2344	277	1	4.3	4.3	NUM
cana-2344	277	2	evaluation	evaluation	NOUN
cana-2344	277	3	metrics	metric	NOUN
cana-2344	277	4	the	the	DET
cana-2344	277	5	performance	performance	NOUN
cana-2344	277	6	of	of	ADP
cana-2344	277	7	dlsa	dlsa	ADJ
cana-2344	277	8	is	be	AUX
cana-2344	277	9	evaluated	evaluate	VERB
cana-2344	277	10	using	use	VERB
cana-2344	277	11	key	key	ADJ
cana-2344	277	12	metrics	metric	NOUN
cana-2344	277	13	that	that	PRON
cana-2344	277	14	measure	measure	VERB
cana-2344	277	15	its	its	PRON
cana-2344	277	16	accuracy	accuracy	NOUN
cana-2344	277	17	and	and	CCONJ
cana-2344	277	18	reliability	reliability	NOUN
cana-2344	277	19	in	in	ADP
cana-2344	277	20	sentiment	sentiment	NOUN
cana-2344	277	21	classification	classification	NOUN
cana-2344	277	22	.	.	PUNCT
cana-2344	278	1	accuracy	accuracy	NOUN
cana-2344	278	2	measures	measure	VERB
cana-2344	278	3	the	the	DET
cana-2344	278	4	percentage	percentage	NOUN
cana-2344	278	5	of	of	ADP
cana-2344	278	6	correct	correct	ADJ
cana-2344	278	7	predictions	prediction	NOUN
cana-2344	278	8	,	,	PUNCT
cana-2344	278	9	showing	show	VERB
cana-2344	278	10	how	how	SCONJ
cana-2344	278	11	well	well	ADV
cana-2344	278	12	the	the	DET
cana-2344	278	13	model	model	NOUN
cana-2344	278	14	distinguishes	distinguish	VERB
cana-2344	278	15	between	between	ADP
cana-2344	278	16	positive	positive	ADJ
cana-2344	278	17	and	and	CCONJ
cana-2344	278	18	negative	negative	ADJ
cana-2344	278	19	sentiments	sentiment	NOUN
cana-2344	278	20	.	.	PUNCT
cana-2344	279	1	high	high	ADJ
cana-2344	279	2	accuracy	accuracy	NOUN
cana-2344	279	3	confirms	confirms	AUX
cana-2344	279	4	dlsa	dlsa	VERB
cana-2344	279	5	’s	’s	PART
cana-2344	279	6	effective	effective	ADJ
cana-2344	279	7	classification	classification	NOUN
cana-2344	279	8	capabilities	capability	NOUN
cana-2344	279	9	.	.	PUNCT
cana-2344	280	1	precision	precision	NOUN
cana-2344	280	2	assesses	assess	VERB
cana-2344	280	3	the	the	DET
cana-2344	280	4	quality	quality	NOUN
cana-2344	280	5	of	of	ADP
cana-2344	280	6	positive	positive	ADJ
cana-2344	280	7	predictions	prediction	NOUN
cana-2344	280	8	by	by	ADP
cana-2344	280	9	calculating	calculate	VERB
cana-2344	280	10	the	the	DET
cana-2344	280	11	ratio	ratio	NOUN
cana-2344	280	12	of	of	ADP
cana-2344	280	13	true	true	ADJ
cana-2344	280	14	positives	positive	NOUN
cana-2344	280	15	to	to	ADP
cana-2344	280	16	all	all	DET
cana-2344	280	17	predicted	predict	VERB
cana-2344	280	18	positives	positive	NOUN
cana-2344	280	19	.	.	PUNCT
cana-2344	281	1	high	high	ADJ
cana-2344	281	2	precision	precision	NOUN
cana-2344	281	3	indicates	indicate	VERB
cana-2344	281	4	that	that	PRON
cana-2344	281	5	dlsa	dlsa	NOUN
cana-2344	281	6	accurately	accurately	ADV
cana-2344	281	7	identifies	identify	VERB
cana-2344	281	8	positive	positive	ADJ
cana-2344	281	9	sentiments	sentiment	NOUN
cana-2344	281	10	with	with	ADP
cana-2344	281	11	minimal	minimal	ADJ
cana-2344	281	12	false	false	ADJ
cana-2344	281	13	positives	positive	NOUN
cana-2344	281	14	.	.	PUNCT
cana-2344	282	1	recall	recall	NOUN
cana-2344	282	2	measures	measure	NOUN
cana-2344	282	3	the	the	DET
cana-2344	282	4	model	model	NOUN
cana-2344	282	5	’s	’s	PART
cana-2344	282	6	ability	ability	NOUN
cana-2344	282	7	to	to	PART
cana-2344	282	8	identify	identify	VERB
cana-2344	282	9	all	all	DET
cana-2344	282	10	relevant	relevant	ADJ
cana-2344	282	11	positive	positive	ADJ
cana-2344	282	12	instances	instance	NOUN
cana-2344	282	13	.	.	PUNCT
cana-2344	283	1	it	it	PRON
cana-2344	283	2	is	be	AUX
cana-2344	283	3	the	the	DET
cana-2344	283	4	ratio	ratio	NOUN
cana-2344	283	5	of	of	ADP
cana-2344	283	6	true	true	ADJ
cana-2344	283	7	positives	positive	NOUN
cana-2344	283	8	to	to	ADP
cana-2344	283	9	the	the	DET
cana-2344	283	10	sum	sum	NOUN
cana-2344	283	11	of	of	ADP
cana-2344	283	12	true	true	ADJ
cana-2344	283	13	positives	positive	NOUN
cana-2344	283	14	and	and	CCONJ
cana-2344	283	15	false	false	ADJ
cana-2344	283	16	negatives	negative	NOUN
cana-2344	283	17	,	,	PUNCT
cana-2344	283	18	reflecting	reflect	VERB
cana-2344	283	19	dlsa	dlsa	NOUN
cana-2344	283	20	’s	’s	PART
cana-2344	283	21	effectiveness	effectiveness	NOUN
cana-2344	283	22	in	in	ADP
cana-2344	283	23	capturing	capture	VERB
cana-2344	283	24	diverse	diverse	ADJ
cana-2344	283	25	positive	positive	ADJ
cana-2344	283	26	sentiments	sentiment	NOUN
cana-2344	283	27	.	.	PUNCT
cana-2344	284	1	the	the	DET
cana-2344	284	2	f1	f1	ADJ
cana-2344	284	3	-	-	PUNCT
cana-2344	284	4	score	score	NOUN
cana-2344	284	5	balances	balance	NOUN
cana-2344	284	6	precision	precision	NOUN
cana-2344	284	7	and	and	CCONJ
cana-2344	284	8	recall	recall	NOUN
cana-2344	284	9	,	,	PUNCT
cana-2344	284	10	providing	provide	VERB
cana-2344	284	11	a	a	DET
cana-2344	284	12	single	single	ADJ
cana-2344	284	13	measure	measure	NOUN
cana-2344	284	14	of	of	ADP
cana-2344	284	15	performance	performance	NOUN
cana-2344	284	16	.	.	PUNCT
cana-2344	285	1	a	a	DET
cana-2344	285	2	high	high	ADJ
cana-2344	285	3	f1score	f1score	NOUN
cana-2344	285	4	shows	show	VERB
cana-2344	285	5	that	that	PRON
cana-2344	285	6	dlsa	dlsa	NOUN
cana-2344	285	7	maintains	maintain	VERB
cana-2344	285	8	a	a	DET
cana-2344	285	9	strong	strong	ADJ
cana-2344	285	10	balance	balance	NOUN
cana-2344	285	11	between	between	ADP
cana-2344	285	12	correctly	correctly	ADV
cana-2344	285	13	identifying	identify	VERB
cana-2344	285	14	positive	positive	ADJ
cana-2344	285	15	sentiments	sentiment	NOUN
cana-2344	285	16	and	and	CCONJ
cana-2344	285	17	minimizing	minimize	VERB
cana-2344	285	18	false	false	ADJ
cana-2344	285	19	positives	positive	NOUN
cana-2344	285	20	.	.	PUNCT
cana-2344	286	1	mcc	mcc	NOUN
cana-2344	286	2	evaluates	evaluate	VERB
cana-2344	286	3	overall	overall	ADJ
cana-2344	286	4	classification	classification	NOUN
cana-2344	286	5	performance	performance	NOUN
cana-2344	286	6	,	,	PUNCT
cana-2344	286	7	considering	consider	VERB
cana-2344	286	8	true	true	ADJ
cana-2344	286	9	and	and	CCONJ
cana-2344	286	10	false	false	ADJ
cana-2344	286	11	predictions	prediction	NOUN
cana-2344	286	12	.	.	PUNCT
cana-2344	287	1	a	a	DET
cana-2344	287	2	high	high	ADJ
cana-2344	287	3	mcc	mcc	NOUN
cana-2344	287	4	score	score	NOUN
cana-2344	287	5	indicates	indicate	VERB
cana-2344	287	6	that	that	DET
cana-2344	287	7	dlsa	dlsa	NOUN
cana-2344	287	8	provides	provide	VERB
cana-2344	287	9	reliable	reliable	ADJ
cana-2344	287	10	and	and	CCONJ
cana-2344	287	11	well	well	ADV
cana-2344	287	12	-	-	PUNCT
cana-2344	287	13	balanced	balanced	ADJ
cana-2344	287	14	sentiment	sentiment	NOUN
cana-2344	287	15	predictions	prediction	NOUN
cana-2344	287	16	,	,	PUNCT
cana-2344	287	17	outperforming	outperform	VERB
cana-2344	287	18	slpcf	slpcf	NOUN
cana-2344	287	19	in	in	ADP
cana-2344	287	20	handling	handle	VERB
cana-2344	287	21	complex	complex	ADJ
cana-2344	287	22	sentiment	sentiment	NOUN
cana-2344	287	23	expressions	expression	NOUN
cana-2344	287	24	.	.	PUNCT
cana-2344	288	1	these	these	DET
cana-2344	288	2	metrics	metric	NOUN
cana-2344	288	3	comprehensively	comprehensively	ADV
cana-2344	288	4	validate	validate	VERB
cana-2344	288	5	dlsa	dlsa	ADJ
cana-2344	288	6	’s	’s	PART
cana-2344	288	7	superior	superior	ADJ
cana-2344	288	8	performance	performance	NOUN
cana-2344	288	9	in	in	ADP
cana-2344	288	10	sentiment	sentiment	NOUN
cana-2344	288	11	analysis	analysis	NOUN
cana-2344	288	12	compared	compare	VERB
cana-2344	288	13	to	to	ADP
cana-2344	288	14	slpcf	slpcf	PROPN
cana-2344	288	15	.	.	PUNCT
cana-2344	289	1	4.4	4.4	NUM
cana-2344	289	2	comparative	comparative	ADJ
cana-2344	289	3	analysis	analysis	NOUN
cana-2344	289	4	of	of	ADP
cana-2344	289	5	results	result	NOUN
cana-2344	289	6	this	this	DET
cana-2344	289	7	section	section	NOUN
cana-2344	289	8	presents	present	VERB
cana-2344	289	9	a	a	DET
cana-2344	289	10	comprehensive	comprehensive	ADJ
cana-2344	289	11	comparative	comparative	ADJ
cana-2344	289	12	analysis	analysis	NOUN
cana-2344	289	13	of	of	ADP
cana-2344	289	14	the	the	DET
cana-2344	289	15	performance	performance	NOUN
cana-2344	289	16	metrics	metric	NOUN
cana-2344	289	17	observed	observe	VERB
cana-2344	289	18	from	from	ADP
cana-2344	289	19	dlsa	dlsa	ADJ
cana-2344	289	20	and	and	CCONJ
cana-2344	289	21	slpcf	slpcf	NOUN
cana-2344	289	22	across	across	ADP
cana-2344	289	23	five	five	NUM
cana-2344	289	24	folds	fold	NOUN
cana-2344	289	25	.	.	PUNCT
cana-2344	290	1	the	the	DET
cana-2344	290	2	analysis	analysis	NOUN
cana-2344	290	3	highlights	highlight	NOUN
cana-2344	290	4	dlsa	dlsa	VERB
cana-2344	290	5	's	's	PART
cana-2344	290	6	consistent	consistent	ADJ
cana-2344	290	7	superiority	superiority	NOUN
cana-2344	290	8	in	in	ADP
cana-2344	290	9	accuracy	accuracy	NOUN
cana-2344	290	10	,	,	PUNCT
cana-2344	290	11	precision	precision	NOUN
cana-2344	290	12	,	,	PUNCT
cana-2344	290	13	recall	recall	NOUN
cana-2344	290	14	,	,	PUNCT
cana-2344	290	15	f1	f1	NOUN
cana-2344	290	16	-	-	PUNCT
cana-2344	290	17	score	score	NOUN
cana-2344	290	18	,	,	PUNCT
cana-2344	290	19	and	and	CCONJ
cana-2344	290	20	mcc	mcc	NOUN
cana-2344	290	21	,	,	PUNCT
cana-2344	290	22	validating	validate	VERB
cana-2344	290	23	the	the	DET
cana-2344	290	24	enhancements	enhancement	NOUN
cana-2344	290	25	integrated	integrate	VERB
cana-2344	290	26	into	into	ADP
cana-2344	290	27	the	the	DET
cana-2344	290	28	dlsa	dlsa	ADJ
cana-2344	290	29	model	model	NOUN
cana-2344	290	30	.	.	PUNCT
cana-2344	291	1	table	table	NOUN
cana-2344	291	2	1	1	NUM
cana-2344	291	3	to	to	PART
cana-2344	291	4	table	table	VERB
cana-2344	291	5	5	5	NUM
cana-2344	291	6	present	present	ADJ
cana-2344	291	7	the	the	DET
cana-2344	291	8	detailed	detailed	ADJ
cana-2344	291	9	performance	performance	NOUN
cana-2344	291	10	metrics	metric	NOUN
cana-2344	291	11	of	of	ADP
cana-2344	291	12	dlsa	dlsa	ADJ
cana-2344	291	13	and	and	CCONJ
cana-2344	291	14	slpcf	slpcf	NOUN
cana-2344	291	15	across	across	ADP
cana-2344	291	16	five	five	NUM
cana-2344	291	17	different	different	ADJ
cana-2344	291	18	folds	fold	NOUN
cana-2344	291	19	,	,	PUNCT
cana-2344	291	20	showing	show	VERB
cana-2344	291	21	how	how	SCONJ
cana-2344	291	22	each	each	DET
cana-2344	291	23	metric	metric	ADJ
cana-2344	291	24	varies	vary	VERB
cana-2344	291	25	across	across	ADP
cana-2344	291	26	the	the	DET
cana-2344	291	27	datasets	dataset	NOUN
cana-2344	291	28	used	use	VERB
cana-2344	291	29	for	for	ADP
cana-2344	291	30	training	training	NOUN
cana-2344	291	31	and	and	CCONJ
cana-2344	291	32	testing	testing	NOUN
cana-2344	291	33	.	.	PUNCT
cana-2344	292	1	these	these	DET
cana-2344	292	2	tables	table	NOUN
cana-2344	292	3	demonstrate	demonstrate	VERB
cana-2344	292	4	dlsa	dlsa	VERB
cana-2344	292	5	’s	’s	PART
cana-2344	292	6	consistent	consistent	ADJ
cana-2344	292	7	improvements	improvement	NOUN
cana-2344	292	8	over	over	ADP
cana-2344	292	9	slpcf	slpcf	NOUN
cana-2344	292	10	,	,	PUNCT
cana-2344	292	11	illustrating	illustrate	VERB
cana-2344	292	12	the	the	DET
cana-2344	292	13	impact	impact	NOUN
cana-2344	292	14	of	of	ADP
cana-2344	292	15	dynamic	dynamic	ADJ
cana-2344	292	16	optimization	optimization	NOUN
cana-2344	292	17	and	and	CCONJ
cana-2344	292	18	advanced	advanced	ADJ
cana-2344	292	19	feature	feature	NOUN
cana-2344	292	20	evaluation	evaluation	NOUN
cana-2344	292	21	.	.	PUNCT
cana-2344	293	1	communications	communication	NOUN
cana-2344	293	2	on	on	ADP
cana-2344	293	3	applied	apply	VERB
cana-2344	293	4	nonlinear	nonlinear	ADJ
cana-2344	293	5	analysis	analysis	NOUN
cana-2344	293	6	issn	issn	NOUN
cana-2344	293	7	:	:	PUNCT
cana-2344	293	8	1074	1074	NUM
cana-2344	293	9	-	-	PUNCT
cana-2344	293	10	133x	133x	NUM
cana-2344	293	11	vol	vol	NOUN
cana-2344	293	12	32	32	NUM
cana-2344	293	13	no	no	NOUN
cana-2344	293	14	.	.	PUNCT
cana-2344	294	1	1s	1s	NUM
cana-2344	294	2	(	(	PUNCT
cana-2344	294	3	2025	2025	NUM
cana-2344	294	4	)	)	PUNCT
cana-2344	294	5	568	568	NUM
cana-2344	294	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2344	294	7	table	table	NOUN
cana-2344	294	8	1	1	NUM
cana-2344	294	9	:	:	PUNCT
cana-2344	294	10	accuracy	accuracy	NOUN
cana-2344	294	11	comparison	comparison	NOUN
cana-2344	294	12	across	across	ADP
cana-2344	294	13	5	5	NUM
cana-2344	294	14	folds	fold	NOUN
cana-2344	294	15	fold	fold	ADJ
cana-2344	294	16	dlsa	dlsa	ADJ
cana-2344	294	17	accuracy	accuracy	NOUN
cana-2344	294	18	slpcf	slpcf	NOUN
cana-2344	294	19	accuracy	accuracy	NOUN
cana-2344	294	20	fold	fold	VERB
cana-2344	294	21	1	1	NUM
cana-2344	294	22	0.930	0.930	NUM
cana-2344	294	23	0.858	0.858	NUM
cana-2344	294	24	fold	fold	VERB
cana-2344	294	25	2	2	NUM
cana-2344	294	26	0.926	0.926	NUM
cana-2344	294	27	0.854	0.854	NUM
cana-2344	294	28	fold	fold	NOUN
cana-2344	294	29	3	3	NUM
cana-2344	294	30	0.927	0.927	NUM
cana-2344	294	31	0.857	0.857	NUM
cana-2344	294	32	fold	fold	ADJ
cana-2344	294	33	4	4	NUM
cana-2344	294	34	0.929	0.929	NUM
cana-2344	294	35	0.855	0.855	NUM
cana-2344	294	36	fold	fold	ADJ
cana-2344	294	37	5	5	NUM
cana-2344	294	38	0.928	0.928	NUM
cana-2344	294	39	0.856	0.856	NUM
cana-2344	294	40	table	table	NOUN
cana-2344	294	41	1	1	NUM
cana-2344	294	42	shows	show	VERB
cana-2344	294	43	the	the	DET
cana-2344	294	44	accuracy	accuracy	NOUN
cana-2344	294	45	scores	score	NOUN
cana-2344	294	46	of	of	ADP
cana-2344	294	47	dlsa	dlsa	ADJ
cana-2344	294	48	and	and	CCONJ
cana-2344	294	49	slpcf	slpcf	NOUN
cana-2344	294	50	across	across	ADP
cana-2344	294	51	all	all	DET
cana-2344	294	52	folds	fold	NOUN
cana-2344	294	53	.	.	PUNCT
cana-2344	295	1	dlsa	dlsa	NOUN
cana-2344	295	2	consistently	consistently	ADV
cana-2344	295	3	achieves	achieve	VERB
cana-2344	295	4	higher	high	ADJ
cana-2344	295	5	accuracy	accuracy	NOUN
cana-2344	295	6	,	,	PUNCT
cana-2344	295	7	indicating	indicate	VERB
cana-2344	295	8	improved	improved	ADJ
cana-2344	295	9	classification	classification	NOUN
cana-2344	295	10	precision	precision	NOUN
cana-2344	295	11	.	.	PUNCT
cana-2344	296	1	table	table	NOUN
cana-2344	296	2	2	2	NUM
cana-2344	296	3	:	:	PUNCT
cana-2344	296	4	precision	precision	NOUN
cana-2344	296	5	comparison	comparison	NOUN
cana-2344	296	6	across	across	ADP
cana-2344	296	7	5	5	NUM
cana-2344	296	8	folds	fold	NOUN
cana-2344	296	9	fold	fold	ADJ
cana-2344	296	10	dlsa	dlsa	ADJ
cana-2344	296	11	precision	precision	NOUN
cana-2344	296	12	slpcf	slpcf	NOUN
cana-2344	296	13	precision	precision	NOUN
cana-2344	296	14	fold	fold	VERB
cana-2344	296	15	1	1	NUM
cana-2344	296	16	0.938	0.938	NUM
cana-2344	296	17	0.874	0.874	NUM
cana-2344	296	18	fold	fold	VERB
cana-2344	296	19	2	2	NUM
cana-2344	296	20	0.933	0.933	NUM
cana-2344	296	21	0.871	0.871	NUM
cana-2344	296	22	fold	fold	VERB
cana-2344	296	23	3	3	NUM
cana-2344	296	24	0.936	0.936	NUM
cana-2344	296	25	0.873	0.873	NUM
cana-2344	296	26	fold	fold	ADJ
cana-2344	296	27	4	4	NUM
cana-2344	296	28	0.937	0.937	NUM
cana-2344	296	29	0.870	0.870	NUM
cana-2344	296	30	fold	fold	VERB
cana-2344	296	31	5	5	NUM
cana-2344	296	32	0.935	0.935	NUM
cana-2344	296	33	0.872	0.872	NUM
cana-2344	296	34	table	table	NOUN
cana-2344	296	35	2	2	NUM
cana-2344	296	36	outlines	outline	VERB
cana-2344	296	37	the	the	DET
cana-2344	296	38	precision	precision	NOUN
cana-2344	296	39	scores	score	NOUN
cana-2344	296	40	,	,	PUNCT
cana-2344	296	41	reflecting	reflect	VERB
cana-2344	296	42	dlsa	dlsa	NOUN
cana-2344	296	43	’s	’s	PART
cana-2344	296	44	ability	ability	NOUN
cana-2344	296	45	to	to	PART
cana-2344	296	46	reduce	reduce	VERB
cana-2344	296	47	false	false	ADJ
cana-2344	296	48	positives	positive	NOUN
cana-2344	296	49	more	more	ADV
cana-2344	296	50	effectively	effectively	ADV
cana-2344	296	51	than	than	ADP
cana-2344	296	52	slpcf	slpcf	NOUN
cana-2344	296	53	.	.	PUNCT
cana-2344	297	1	table	table	NOUN
cana-2344	297	2	3	3	NUM
cana-2344	297	3	:	:	PUNCT
cana-2344	297	4	recall	recall	VERB
cana-2344	297	5	comparison	comparison	NOUN
cana-2344	297	6	across	across	ADP
cana-2344	297	7	5	5	NUM
cana-2344	297	8	folds	fold	NOUN
cana-2344	297	9	fold	fold	NOUN
cana-2344	297	10	dlsa	dlsa	ADJ
cana-2344	297	11	recall	recall	PROPN
cana-2344	297	12	slpcf	slpcf	PROPN
cana-2344	297	13	recall	recall	VERB
cana-2344	297	14	fold	fold	NOUN
cana-2344	297	15	1	1	NUM
cana-2344	297	16	0.920	0.920	NUM
cana-2344	297	17	0.848	0.848	NUM
cana-2344	297	18	fold	fold	VERB
cana-2344	297	19	2	2	NUM
cana-2344	297	20	0.922	0.922	NUM
cana-2344	297	21	0.846	0.846	NUM
cana-2344	297	22	fold	fold	ADJ
cana-2344	297	23	3	3	NUM
cana-2344	297	24	0.919	0.919	NUM
cana-2344	297	25	0.849	0.849	NUM
cana-2344	297	26	fold	fold	ADJ
cana-2344	297	27	4	4	NUM
cana-2344	297	28	0.923	0.923	NUM
cana-2344	297	29	0.845	0.845	NUM
cana-2344	297	30	fold	fold	NOUN
cana-2344	297	31	5	5	NUM
cana-2344	297	32	0.921	0.921	NUM
cana-2344	297	33	0.847	0.847	NUM
cana-2344	297	34	table	table	NOUN
cana-2344	297	35	3	3	NUM
cana-2344	297	36	presents	present	VERB
cana-2344	297	37	the	the	DET
cana-2344	297	38	recall	recall	NOUN
cana-2344	297	39	values	value	NOUN
cana-2344	297	40	,	,	PUNCT
cana-2344	297	41	showing	show	VERB
cana-2344	297	42	dlsa	dlsa	NOUN
cana-2344	297	43	’s	’s	PART
cana-2344	297	44	superior	superior	ADJ
cana-2344	297	45	ability	ability	NOUN
cana-2344	297	46	to	to	PART
cana-2344	297	47	capture	capture	VERB
cana-2344	297	48	all	all	DET
cana-2344	297	49	relevant	relevant	ADJ
cana-2344	297	50	positive	positive	ADJ
cana-2344	297	51	instances	instance	NOUN
cana-2344	297	52	compared	compare	VERB
cana-2344	297	53	to	to	ADP
cana-2344	297	54	slpcf	slpcf	PROPN
cana-2344	297	55	.	.	PUNCT
cana-2344	298	1	table	table	NOUN
cana-2344	298	2	4	4	NUM
cana-2344	298	3	:	:	PUNCT
cana-2344	298	4	f1	f1	ADJ
cana-2344	298	5	-	-	PUNCT
cana-2344	298	6	score	score	NOUN
cana-2344	298	7	comparison	comparison	NOUN
cana-2344	298	8	across	across	ADP
cana-2344	298	9	5	5	NUM
cana-2344	298	10	folds	fold	NOUN
cana-2344	298	11	fold	fold	VERB
cana-2344	298	12	dlsa	dlsa	ADJ
cana-2344	298	13	f1	f1	NOUN
cana-2344	298	14	-	-	PUNCT
cana-2344	298	15	score	score	NOUN
cana-2344	298	16	slpcf	slpcf	NOUN
cana-2344	298	17	f1	f1	NOUN
cana-2344	298	18	-	-	PUNCT
cana-2344	298	19	score	score	NOUN
cana-2344	298	20	fold	fold	NOUN
cana-2344	298	21	1	1	NUM
cana-2344	298	22	0.929	0.929	NUM
cana-2344	298	23	0.860	0.860	NUM
cana-2344	298	24	fold	fold	ADJ
cana-2344	298	25	2	2	NUM
cana-2344	298	26	0.927	0.927	NUM
cana-2344	298	27	0.858	0.858	NUM
cana-2344	298	28	fold	fold	NOUN
cana-2344	298	29	3	3	NUM
cana-2344	298	30	0.928	0.928	NUM
cana-2344	298	31	0.861	0.861	NUM
cana-2344	298	32	fold	fold	VERB
cana-2344	298	33	4	4	NUM
cana-2344	298	34	0.930	0.930	NUM
cana-2344	298	35	0.857	0.857	NUM
cana-2344	298	36	fold	fold	NOUN
cana-2344	298	37	5	5	NUM
cana-2344	298	38	0.928	0.928	NUM
cana-2344	298	39	0.859	0.859	NUM
cana-2344	298	40	table	table	NOUN
cana-2344	298	41	4	4	NUM
cana-2344	298	42	illustrates	illustrate	VERB
cana-2344	298	43	the	the	DET
cana-2344	298	44	f1	f1	NOUN
cana-2344	298	45	-	-	PUNCT
cana-2344	298	46	scores	score	NOUN
cana-2344	298	47	,	,	PUNCT
cana-2344	298	48	highlighting	highlight	VERB
cana-2344	298	49	how	how	SCONJ
cana-2344	298	50	dlsa	dlsa	ADJ
cana-2344	298	51	balances	balance	NOUN
cana-2344	298	52	precision	precision	VERB
cana-2344	298	53	and	and	CCONJ
cana-2344	298	54	recall	recall	VERB
cana-2344	298	55	better	well	ADV
cana-2344	298	56	than	than	ADP
cana-2344	298	57	slpcf	slpcf	PROPN
cana-2344	298	58	.	.	PUNCT
cana-2344	298	59	table	table	NOUN
cana-2344	298	60	5	5	NUM
cana-2344	298	61	:	:	PUNCT
cana-2344	298	62	mcc	mcc	NOUN
cana-2344	298	63	comparison	comparison	NOUN
cana-2344	298	64	across	across	ADP
cana-2344	298	65	5	5	NUM
cana-2344	298	66	folds	fold	NOUN
cana-2344	298	67	fold	fold	NOUN
cana-2344	298	68	dlsa	dlsa	ADJ
cana-2344	298	69	mcc	mcc	PROPN
cana-2344	298	70	slpcf	slpcf	PROPN
cana-2344	298	71	mcc	mcc	PROPN
cana-2344	298	72	fold	fold	VERB
cana-2344	298	73	1	1	NUM
cana-2344	298	74	0.853	0.853	NUM
cana-2344	298	75	0.763	0.763	NUM
cana-2344	298	76	fold	fold	VERB
cana-2344	298	77	2	2	NUM
cana-2344	298	78	0.849	0.849	NUM
cana-2344	298	79	0.758	0.758	NUM
cana-2344	298	80	communications	communication	NOUN
cana-2344	298	81	on	on	ADP
cana-2344	298	82	applied	apply	VERB
cana-2344	298	83	nonlinear	nonlinear	ADJ
cana-2344	298	84	analysis	analysis	NOUN
cana-2344	298	85	issn	issn	NOUN
cana-2344	298	86	:	:	PUNCT
cana-2344	298	87	1074	1074	NUM
cana-2344	298	88	-	-	PUNCT
cana-2344	298	89	133x	133x	NUM
cana-2344	298	90	vol	vol	NOUN
cana-2344	298	91	32	32	NUM
cana-2344	298	92	no	no	NOUN
cana-2344	298	93	.	.	PUNCT
cana-2344	299	1	1s	1s	NUM
cana-2344	299	2	(	(	PUNCT
cana-2344	299	3	2025	2025	NUM
cana-2344	299	4	)	)	PUNCT
cana-2344	299	5	569	569	NUM
cana-2344	299	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2344	299	7	fold	fold	VERB
cana-2344	299	8	3	3	NUM
cana-2344	299	9	0.851	0.851	NUM
cana-2344	299	10	0.762	0.762	NUM
cana-2344	299	11	fold	fold	VERB
cana-2344	299	12	4	4	NUM
cana-2344	299	13	0.852	0.852	NUM
cana-2344	299	14	0.759	0.759	NUM
cana-2344	299	15	fold	fold	NOUN
cana-2344	299	16	5	5	NUM
cana-2344	299	17	0.850	0.850	NUM
cana-2344	299	18	0.760	0.760	NUM
cana-2344	299	19	table	table	NOUN
cana-2344	299	20	5	5	NUM
cana-2344	299	21	provides	provide	VERB
cana-2344	299	22	the	the	DET
cana-2344	299	23	mcc	mcc	PROPN
cana-2344	299	24	values	value	NOUN
cana-2344	299	25	,	,	PUNCT
cana-2344	300	1	demonstrating	demonstrate	VERB
cana-2344	300	2	dlsa	dlsa	NOUN
cana-2344	300	3	’s	’s	PART
cana-2344	300	4	robust	robust	ADJ
cana-2344	300	5	overall	overall	ADJ
cana-2344	300	6	classification	classification	NOUN
cana-2344	300	7	quality	quality	NOUN
cana-2344	300	8	,	,	PUNCT
cana-2344	300	9	outperforming	outperform	VERB
cana-2344	300	10	slpcf	slpcf	NOUN
cana-2344	300	11	in	in	ADP
cana-2344	300	12	handling	handle	VERB
cana-2344	300	13	varied	varied	ADJ
cana-2344	300	14	sentiment	sentiment	NOUN
cana-2344	300	15	expressions	expression	NOUN
cana-2344	300	16	.	.	PUNCT
cana-2344	301	1	figures	figure	NOUN
cana-2344	301	2	1	1	NUM
cana-2344	301	3	to	to	PART
cana-2344	301	4	5	5	NUM
cana-2344	301	5	visually	visually	ADV
cana-2344	301	6	represent	represent	VERB
cana-2344	301	7	the	the	DET
cana-2344	301	8	performance	performance	NOUN
cana-2344	301	9	metrics	metric	NOUN
cana-2344	301	10	of	of	ADP
cana-2344	301	11	dlsa	dlsa	ADJ
cana-2344	301	12	and	and	CCONJ
cana-2344	301	13	slpcf	slpcf	NOUN
cana-2344	301	14	across	across	ADP
cana-2344	301	15	the	the	DET
cana-2344	301	16	five	five	NUM
cana-2344	301	17	folds	fold	NOUN
cana-2344	301	18	,	,	PUNCT
cana-2344	301	19	reinforcing	reinforce	VERB
cana-2344	301	20	the	the	DET
cana-2344	301	21	results	result	NOUN
cana-2344	301	22	shown	show	VERB
cana-2344	301	23	in	in	ADP
cana-2344	301	24	the	the	DET
cana-2344	301	25	tables	table	NOUN
cana-2344	301	26	.	.	PUNCT
cana-2344	302	1	figure	figure	NOUN
cana-2344	302	2	1	1	NUM
cana-2344	302	3	:	:	PUNCT
cana-2344	302	4	accuracy	accuracy	NOUN
cana-2344	302	5	performance	performance	NOUN
cana-2344	302	6	across	across	ADP
cana-2344	302	7	5	5	NUM
cana-2344	302	8	folds	fold	NOUN
cana-2344	302	9	figure	figure	NOUN
cana-2344	302	10	1	1	NUM
cana-2344	302	11	shows	show	VERB
cana-2344	302	12	that	that	DET
cana-2344	302	13	dlsa	dlsa	NOUN
cana-2344	302	14	consistently	consistently	ADV
cana-2344	302	15	achieves	achieve	VERB
cana-2344	302	16	higher	high	ADJ
cana-2344	302	17	accuracy	accuracy	NOUN
cana-2344	302	18	than	than	ADP
cana-2344	302	19	slpcf	slpcf	NOUN
cana-2344	302	20	,	,	PUNCT
cana-2344	302	21	reflecting	reflect	VERB
cana-2344	302	22	its	its	PRON
cana-2344	302	23	superior	superior	ADJ
cana-2344	302	24	sentiment	sentiment	NOUN
cana-2344	302	25	classification	classification	NOUN
cana-2344	302	26	.	.	PUNCT
cana-2344	303	1	figure	figure	NOUN
cana-2344	303	2	2	2	NUM
cana-2344	303	3	:	:	PUNCT
cana-2344	303	4	precision	precision	NOUN
cana-2344	303	5	performance	performance	NOUN
cana-2344	303	6	across	across	ADP
cana-2344	303	7	5	5	NUM
cana-2344	303	8	folds	fold	NOUN
cana-2344	303	9	figure	figure	NOUN
cana-2344	303	10	2	2	NUM
cana-2344	303	11	highlights	highlight	NOUN
cana-2344	303	12	the	the	DET
cana-2344	303	13	improved	improved	ADJ
cana-2344	303	14	precision	precision	NOUN
cana-2344	303	15	of	of	ADP
cana-2344	303	16	dlsa	dlsa	ADJ
cana-2344	303	17	,	,	PUNCT
cana-2344	303	18	illustrating	illustrate	VERB
cana-2344	303	19	its	its	PRON
cana-2344	303	20	reduced	reduce	VERB
cana-2344	303	21	false	false	ADJ
cana-2344	303	22	positive	positive	ADJ
cana-2344	303	23	rate	rate	NOUN
cana-2344	303	24	compared	compare	VERB
cana-2344	303	25	to	to	ADP
cana-2344	303	26	slpcf	slpcf	PROPN
cana-2344	303	27	.	.	PUNCT
cana-2344	304	1	communications	communication	NOUN
cana-2344	304	2	on	on	ADP
cana-2344	304	3	applied	apply	VERB
cana-2344	304	4	nonlinear	nonlinear	ADJ
cana-2344	304	5	analysis	analysis	NOUN
cana-2344	304	6	issn	issn	NOUN
cana-2344	304	7	:	:	PUNCT
cana-2344	304	8	1074	1074	NUM
cana-2344	304	9	-	-	PUNCT
cana-2344	304	10	133x	133x	NUM
cana-2344	304	11	vol	vol	NOUN
cana-2344	304	12	32	32	NUM
cana-2344	304	13	no	no	NOUN
cana-2344	304	14	.	.	PUNCT
cana-2344	305	1	1s	1s	NUM
cana-2344	305	2	(	(	PUNCT
cana-2344	305	3	2025	2025	NUM
cana-2344	305	4	)	)	PUNCT
cana-2344	305	5	570	570	NUM
cana-2344	305	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2344	305	7	figure	figure	NOUN
cana-2344	305	8	3	3	NUM
cana-2344	305	9	:	:	PUNCT
cana-2344	305	10	recall	recall	NOUN
cana-2344	305	11	performance	performance	NOUN
cana-2344	305	12	across	across	ADP
cana-2344	305	13	5	5	NUM
cana-2344	305	14	folds	fold	NOUN
cana-2344	305	15	figure	figure	NOUN
cana-2344	305	16	3	3	NUM
cana-2344	305	17	depicts	depict	NOUN
cana-2344	305	18	dlsa	dlsa	NOUN
cana-2344	305	19	’s	’s	PART
cana-2344	305	20	ability	ability	NOUN
cana-2344	305	21	to	to	PART
cana-2344	305	22	identify	identify	VERB
cana-2344	305	23	relevant	relevant	ADJ
cana-2344	305	24	positive	positive	ADJ
cana-2344	305	25	instances	instance	NOUN
cana-2344	305	26	more	more	ADV
cana-2344	305	27	effectively	effectively	ADV
cana-2344	305	28	than	than	ADP
cana-2344	305	29	slpcf	slpcf	NOUN
cana-2344	305	30	.	.	PUNCT
cana-2344	306	1	figure	figure	VERB
cana-2344	306	2	4	4	NUM
cana-2344	306	3	:	:	PUNCT
cana-2344	306	4	f1	f1	ADJ
cana-2344	306	5	-	-	PUNCT
cana-2344	306	6	score	score	NOUN
cana-2344	306	7	performance	performance	NOUN
cana-2344	306	8	across	across	ADP
cana-2344	306	9	5	5	NUM
cana-2344	306	10	folds	fold	NOUN
cana-2344	306	11	figure	figure	NOUN
cana-2344	306	12	4	4	NUM
cana-2344	306	13	shows	show	NOUN
cana-2344	306	14	dlsa	dlsa	VERB
cana-2344	306	15	’s	’s	PART
cana-2344	306	16	balanced	balanced	ADJ
cana-2344	306	17	performance	performance	NOUN
cana-2344	306	18	in	in	ADP
cana-2344	306	19	maintaining	maintain	VERB
cana-2344	306	20	high	high	ADJ
cana-2344	306	21	precision	precision	NOUN
cana-2344	306	22	and	and	CCONJ
cana-2344	306	23	recall	recall	NOUN
cana-2344	306	24	,	,	PUNCT
cana-2344	306	25	leading	lead	VERB
cana-2344	306	26	to	to	ADP
cana-2344	306	27	better	well	ADJ
cana-2344	306	28	f1	f1	NOUN
cana-2344	306	29	-	-	PUNCT
cana-2344	306	30	scores	score	NOUN
cana-2344	306	31	.	.	PUNCT
cana-2344	307	1	figure	figure	NOUN
cana-2344	307	2	5	5	NUM
cana-2344	307	3	:	:	PUNCT
cana-2344	307	4	mcc	mcc	NOUN
cana-2344	307	5	performance	performance	NOUN
cana-2344	307	6	across	across	ADP
cana-2344	307	7	5	5	NUM
cana-2344	307	8	folds	fold	NOUN
cana-2344	307	9	communications	communication	NOUN
cana-2344	307	10	on	on	ADP
cana-2344	307	11	applied	apply	VERB
cana-2344	307	12	nonlinear	nonlinear	ADJ
cana-2344	307	13	analysis	analysis	NOUN
cana-2344	307	14	issn	issn	NOUN
cana-2344	307	15	:	:	PUNCT
cana-2344	307	16	1074	1074	NUM
cana-2344	307	17	-	-	PUNCT
cana-2344	307	18	133x	133x	NUM
cana-2344	307	19	vol	vol	NOUN
cana-2344	307	20	32	32	NUM
cana-2344	308	1	no	no	NOUN
cana-2344	308	2	.	.	PUNCT
cana-2344	309	1	1s	1s	NUM
cana-2344	309	2	(	(	PUNCT
cana-2344	309	3	2025	2025	NUM
cana-2344	309	4	)	)	PUNCT
cana-2344	309	5	571	571	NUM
cana-2344	309	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2344	309	7	figure	figure	NOUN
cana-2344	309	8	5	5	NUM
cana-2344	309	9	visualizes	visualize	VERB
cana-2344	309	10	dlsa	dlsa	NOUN
cana-2344	309	11	’s	’s	PART
cana-2344	309	12	overall	overall	ADJ
cana-2344	309	13	classification	classification	NOUN
cana-2344	309	14	reliability	reliability	NOUN
cana-2344	309	15	through	through	ADP
cana-2344	309	16	higher	high	ADJ
cana-2344	309	17	mcc	mcc	PROPN
cana-2344	309	18	scores	score	NOUN
cana-2344	309	19	,	,	PUNCT
cana-2344	309	20	demonstrating	demonstrate	VERB
cana-2344	309	21	its	its	PRON
cana-2344	309	22	effectiveness	effectiveness	NOUN
cana-2344	309	23	over	over	ADP
cana-2344	309	24	slpcf	slpcf	NOUN
cana-2344	309	25	.	.	PUNCT
cana-2344	310	1	5	5	NUM
cana-2344	310	2	conclusion	conclusion	NOUN
cana-2344	310	3	the	the	DET
cana-2344	310	4	focus	focus	NOUN
cana-2344	310	5	was	be	AUX
cana-2344	310	6	on	on	ADP
cana-2344	310	7	building	build	VERB
cana-2344	310	8	a	a	DET
cana-2344	310	9	new	new	ADJ
cana-2344	310	10	model	model	NOUN
cana-2344	310	11	for	for	ADP
cana-2344	310	12	sentiment	sentiment	NOUN
cana-2344	310	13	analysis	analysis	NOUN
cana-2344	310	14	that	that	PRON
cana-2344	310	15	adapts	adapt	VERB
cana-2344	310	16	features	feature	NOUN
cana-2344	310	17	based	base	VERB
cana-2344	310	18	on	on	ADP
cana-2344	310	19	performance	performance	NOUN
cana-2344	310	20	,	,	PUNCT
cana-2344	310	21	called	call	VERB
cana-2344	310	22	dlsa	dlsa	ADJ
cana-2344	310	23	.	.	PUNCT
cana-2344	311	1	it	it	PRON
cana-2344	311	2	used	use	VERB
cana-2344	311	3	genetic	genetic	ADJ
cana-2344	311	4	algorithms	algorithm	NOUN
cana-2344	311	5	and	and	CCONJ
cana-2344	311	6	adaptive	adaptive	ADJ
cana-2344	311	7	feedback	feedback	NOUN
cana-2344	311	8	to	to	ADP
cana-2344	311	9	fine	fine	ADJ
cana-2344	311	10	-	-	PUNCT
cana-2344	311	11	tune	tune	NOUN
cana-2344	311	12	how	how	SCONJ
cana-2344	311	13	words	word	NOUN
cana-2344	311	14	and	and	CCONJ
cana-2344	311	15	phrases	phrase	NOUN
cana-2344	311	16	are	be	AUX
cana-2344	311	17	analyzed	analyze	VERB
cana-2344	311	18	for	for	ADP
cana-2344	311	19	sentiment	sentiment	NOUN
cana-2344	311	20	,	,	PUNCT
cana-2344	311	21	aiming	aim	VERB
cana-2344	311	22	to	to	PART
cana-2344	311	23	catch	catch	VERB
cana-2344	311	24	subtle	subtle	ADJ
cana-2344	311	25	patterns	pattern	NOUN
cana-2344	311	26	that	that	SCONJ
cana-2344	311	27	older	old	ADJ
cana-2344	311	28	methods	method	NOUN
cana-2344	311	29	miss	miss	VERB
cana-2344	311	30	.	.	PUNCT
cana-2344	312	1	results	result	NOUN
cana-2344	312	2	showed	show	VERB
cana-2344	312	3	clear	clear	ADJ
cana-2344	312	4	improvements	improvement	NOUN
cana-2344	312	5	in	in	ADP
cana-2344	312	6	accuracy	accuracy	NOUN
cana-2344	312	7	and	and	CCONJ
cana-2344	312	8	precision	precision	NOUN
cana-2344	312	9	,	,	PUNCT
cana-2344	312	10	especially	especially	ADV
cana-2344	312	11	when	when	SCONJ
cana-2344	312	12	dealing	deal	VERB
cana-2344	312	13	with	with	ADP
cana-2344	312	14	complex	complex	ADJ
cana-2344	312	15	text	text	NOUN
cana-2344	312	16	.	.	PUNCT
cana-2344	313	1	this	this	DET
cana-2344	313	2	approach	approach	NOUN
cana-2344	313	3	adjusts	adjust	VERB
cana-2344	313	4	in	in	ADP
cana-2344	313	5	real	real	ADJ
cana-2344	313	6	-	-	PUNCT
cana-2344	313	7	time	time	NOUN
cana-2344	313	8	,	,	PUNCT
cana-2344	313	9	making	make	VERB
cana-2344	313	10	it	it	PRON
cana-2344	313	11	more	more	ADV
cana-2344	313	12	useful	useful	ADJ
cana-2344	313	13	for	for	ADP
cana-2344	313	14	varied	varied	ADJ
cana-2344	313	15	data	datum	NOUN
cana-2344	313	16	like	like	ADP
cana-2344	313	17	social	social	ADJ
cana-2344	313	18	media	medium	NOUN
cana-2344	313	19	or	or	CCONJ
cana-2344	313	20	product	product	NOUN
cana-2344	313	21	reviews	review	NOUN
cana-2344	313	22	.	.	PUNCT
cana-2344	314	1	limitations	limitation	NOUN
cana-2344	314	2	include	include	VERB
cana-2344	314	3	the	the	DET
cana-2344	314	4	use	use	NOUN
cana-2344	314	5	of	of	ADP
cana-2344	314	6	fixed	fix	VERB
cana-2344	314	7	sentiment	sentiment	NOUN
cana-2344	314	8	lexicons	lexicon	NOUN
cana-2344	314	9	,	,	PUNCT
cana-2344	314	10	which	which	PRON
cana-2344	314	11	may	may	AUX
cana-2344	314	12	not	not	PART
cana-2344	314	13	capture	capture	VERB
cana-2344	314	14	evolving	evolve	VERB
cana-2344	314	15	language	language	NOUN
cana-2344	314	16	trends	trend	NOUN
cana-2344	314	17	or	or	CCONJ
cana-2344	314	18	specific	specific	ADJ
cana-2344	314	19	terms	term	NOUN
cana-2344	314	20	in	in	ADP
cana-2344	314	21	niche	niche	NOUN
cana-2344	314	22	areas	area	NOUN
cana-2344	314	23	.	.	PUNCT
cana-2344	315	1	future	future	ADJ
cana-2344	315	2	work	work	NOUN
cana-2344	315	3	can	can	AUX
cana-2344	315	4	look	look	VERB
cana-2344	315	5	at	at	ADP
cana-2344	315	6	dynamic	dynamic	ADJ
cana-2344	315	7	lexicon	lexicon	ADJ
cana-2344	315	8	updates	update	NOUN
cana-2344	315	9	or	or	CCONJ
cana-2344	315	10	testing	test	VERB
cana-2344	315	11	this	this	DET
cana-2344	315	12	model	model	NOUN
cana-2344	315	13	in	in	ADP
cana-2344	315	14	different	different	ADJ
cana-2344	315	15	languages	language	NOUN
cana-2344	315	16	and	and	CCONJ
cana-2344	315	17	industries	industry	NOUN
cana-2344	315	18	.	.	PUNCT
cana-2344	316	1	the	the	DET
cana-2344	316	2	key	key	ADJ
cana-2344	316	3	takeaway	takeaway	NOUN
cana-2344	316	4	:	:	PUNCT
cana-2344	316	5	dlsa	dlsa	PROPN
cana-2344	316	6	brings	bring	VERB
cana-2344	316	7	a	a	DET
cana-2344	316	8	fresh	fresh	ADJ
cana-2344	316	9	way	way	NOUN
cana-2344	316	10	to	to	PART
cana-2344	316	11	refine	refine	VERB
cana-2344	316	12	sentiment	sentiment	NOUN
cana-2344	316	13	analysis	analysis	NOUN
cana-2344	316	14	,	,	PUNCT
cana-2344	316	15	showing	show	VERB
cana-2344	316	16	strong	strong	ADJ
cana-2344	316	17	potential	potential	NOUN
cana-2344	316	18	for	for	ADP
cana-2344	316	19	deeper	deep	ADJ
cana-2344	316	20	and	and	CCONJ
cana-2344	316	21	more	more	ADV
cana-2344	316	22	precise	precise	ADJ
cana-2344	316	23	insights	insight	NOUN
cana-2344	316	24	in	in	ADP
cana-2344	316	25	textbased	textbase	VERB
cana-2344	316	26	data	datum	NOUN
cana-2344	316	27	.	.	PUNCT
cana-2344	317	1	references	reference	NOUN
cana-2344	317	2	[	[	X
cana-2344	317	3	1	1	NUM
cana-2344	317	4	]	]	X
cana-2344	317	5	johnson	johnson	PROPN
cana-2344	317	6	,	,	PUNCT
cana-2344	317	7	alex	alex	PROPN
cana-2344	317	8	,	,	PUNCT
cana-2344	317	9	emily	emily	PROPN
cana-2344	317	10	davis	davis	PROPN
cana-2344	317	11	,	,	PUNCT
cana-2344	317	12	wyne	wyne	PROPN
cana-2344	317	13	nasir	nasir	PROPN
cana-2344	317	14	,	,	PUNCT
cana-2344	317	15	and	and	CCONJ
cana-2344	317	16	michael	michael	PROPN
cana-2344	317	17	brown	brown	PROPN
cana-2344	317	18	.	.	PUNCT
cana-2344	318	1	"	"	PUNCT
cana-2344	318	2	leveraging	leverage	VERB
cana-2344	318	3	sentiment	sentiment	NOUN
cana-2344	318	4	lexicon	lexicon	VERB
cana-2344	318	5	in	in	ADP
cana-2344	318	6	sentiment	sentiment	NOUN
cana-2344	318	7	detection	detection	NOUN
cana-2344	318	8	.	.	PUNCT
cana-2344	318	9	"	"	PUNCT
cana-2344	319	1	(	(	PUNCT
cana-2344	319	2	2024	2024	NUM
cana-2344	319	3	)	)	PUNCT
cana-2344	319	4	.	.	PUNCT
cana-2344	320	1	[	[	X
cana-2344	320	2	2	2	NUM
cana-2344	320	3	]	]	X
cana-2344	320	4	alsemaree	alsemaree	NOUN
cana-2344	320	5	,	,	PUNCT
cana-2344	320	6	ohud	ohud	ADV
cana-2344	320	7	,	,	PUNCT
cana-2344	320	8	atm	atm	PROPN
cana-2344	320	9	s.	s.	PROPN
cana-2344	320	10	alam	alam	PROPN
cana-2344	320	11	,	,	PUNCT
cana-2344	320	12	sukhpal	sukhpal	VERB
cana-2344	320	13	singh	singh	PROPN
cana-2344	320	14	gill	gill	NOUN
cana-2344	320	15	,	,	PUNCT
cana-2344	320	16	and	and	CCONJ
cana-2344	320	17	steve	steve	PROPN
cana-2344	320	18	uhlig	uhlig	PROPN
cana-2344	320	19	.	.	PUNCT
cana-2344	321	1	"	"	PUNCT
cana-2344	321	2	an	an	DET
cana-2344	321	3	analysis	analysis	NOUN
cana-2344	321	4	of	of	ADP
cana-2344	321	5	customer	customer	NOUN
cana-2344	321	6	perception	perception	NOUN
cana-2344	321	7	using	use	VERB
cana-2344	321	8	lexicon	lexicon	NOUN
cana-2344	321	9	-	-	PUNCT
cana-2344	321	10	based	base	VERB
cana-2344	321	11	sentiment	sentiment	NOUN
cana-2344	321	12	analysis	analysis	NOUN
cana-2344	321	13	of	of	ADP
cana-2344	321	14	arabic	arabic	ADJ
cana-2344	321	15	texts	text	NOUN
cana-2344	321	16	framework	framework	NOUN
cana-2344	321	17	.	.	PUNCT
cana-2344	321	18	"	"	PUNCT
cana-2344	321	19	heliyon	heliyon	NOUN
cana-2344	321	20	10	10	NUM
cana-2344	321	21	,	,	PUNCT
cana-2344	321	22	no	no	INTJ
cana-2344	321	23	.	.	NOUN
cana-2344	321	24	11	11	NUM
cana-2344	321	25	(	(	PUNCT
cana-2344	321	26	2024	2024	NUM
cana-2344	321	27	)	)	PUNCT
cana-2344	321	28	.	.	PUNCT
cana-2344	322	1	[	[	X
cana-2344	322	2	3	3	NUM
cana-2344	322	3	]	]	X
cana-2344	322	4	zingade	zingade	NOUN
cana-2344	322	5	,	,	PUNCT
cana-2344	322	6	deeplakshmi	deeplakshmi	VERB
cana-2344	322	7	sachin	sachin	PROPN
cana-2344	322	8	,	,	PUNCT
cana-2344	322	9	rajesh	rajesh	PROPN
cana-2344	322	10	keshavrao	keshavrao	PROPN
cana-2344	322	11	deshmukh	deshmukh	PROPN
cana-2344	322	12	,	,	PUNCT
cana-2344	322	13	and	and	CCONJ
cana-2344	322	14	deepak	deepak	PROPN
cana-2344	322	15	bhimrao	bhimrao	PROPN
cana-2344	322	16	kadam	kadam	PROPN
cana-2344	322	17	.	.	PUNCT
cana-2344	323	1	"	"	PUNCT
cana-2344	323	2	multi	multi	ADJ
cana-2344	323	3	-	-	ADJ
cana-2344	323	4	objective	objective	ADJ
cana-2344	323	5	hybrid	hybrid	ADJ
cana-2344	323	6	optimization	optimization	NOUN
cana-2344	323	7	-	-	PUNCT
cana-2344	323	8	based	base	VERB
cana-2344	323	9	feature	feature	NOUN
cana-2344	323	10	selection	selection	NOUN
cana-2344	323	11	for	for	ADP
cana-2344	323	12	sentiment	sentiment	NOUN
cana-2344	323	13	analysis	analysis	NOUN
cana-2344	323	14	.	.	PUNCT
cana-2344	323	15	"	"	PUNCT
cana-2344	324	1	in	in	ADP
cana-2344	324	2	2023	2023	NUM
cana-2344	324	3	4th	4th	ADJ
cana-2344	324	4	international	international	ADJ
cana-2344	324	5	conference	conference	NOUN
cana-2344	324	6	for	for	ADP
cana-2344	324	7	emerging	emerge	VERB
cana-2344	324	8	technology	technology	NOUN
cana-2344	324	9	(	(	PUNCT
cana-2344	324	10	incet	incet	PROPN
cana-2344	324	11	)	)	PUNCT
cana-2344	324	12	,	,	PUNCT
cana-2344	324	13	pp	pp	PROPN
cana-2344	324	14	.	.	PUNCT
cana-2344	324	15	1	1	NUM
cana-2344	324	16	-	-	SYM
cana-2344	324	17	6	6	NUM
cana-2344	324	18	.	.	PUNCT
cana-2344	324	19	ieee	ieee	NOUN
cana-2344	324	20	,	,	PUNCT
cana-2344	324	21	2023	2023	NUM
cana-2344	324	22	.	.	PUNCT
cana-2344	325	1	[	[	X
cana-2344	325	2	4	4	NUM
cana-2344	325	3	]	]	X
cana-2344	325	4	botchway	botchway	NOUN
cana-2344	325	5	,	,	PUNCT
cana-2344	325	6	raphael	raphael	PROPN
cana-2344	325	7	kwaku	kwaku	PROPN
cana-2344	325	8	,	,	PUNCT
cana-2344	325	9	vinod	vinod	PROPN
cana-2344	325	10	yadav	yadav	PROPN
cana-2344	325	11	,	,	PUNCT
cana-2344	325	12	zuzana	zuzana	PROPN
cana-2344	325	13	oplatková	oplatková	PROPN
cana-2344	325	14	komínková	komínková	PROPN
cana-2344	325	15	,	,	PUNCT
cana-2344	325	16	and	and	CCONJ
cana-2344	325	17	roman	roman	ADJ
cana-2344	325	18	senkerik	senkerik	NOUN
cana-2344	325	19	.	.	PUNCT
cana-2344	326	1	"	"	PUNCT
cana-2344	326	2	text	text	NOUN
cana-2344	326	3	-	-	PUNCT
cana-2344	326	4	based	base	VERB
cana-2344	326	5	feature	feature	NOUN
cana-2344	326	6	selection	selection	NOUN
cana-2344	326	7	using	use	VERB
cana-2344	326	8	binary	binary	ADJ
cana-2344	326	9	particle	particle	NOUN
cana-2344	326	10	swarm	swarm	NOUN
cana-2344	326	11	optimization	optimization	NOUN
cana-2344	326	12	for	for	ADP
cana-2344	326	13	sentiment	sentiment	NOUN
cana-2344	326	14	analysis	analysis	NOUN
cana-2344	326	15	.	.	PUNCT
cana-2344	326	16	"	"	PUNCT
cana-2344	327	1	in	in	ADP
cana-2344	327	2	2022	2022	NUM
cana-2344	327	3	international	international	ADJ
cana-2344	327	4	conference	conference	NOUN
cana-2344	327	5	on	on	ADP
cana-2344	327	6	electrical	electrical	ADJ
cana-2344	327	7	,	,	PUNCT
cana-2344	327	8	computer	computer	NOUN
cana-2344	327	9	and	and	CCONJ
cana-2344	327	10	energy	energy	NOUN
cana-2344	327	11	technologies	technology	NOUN
cana-2344	327	12	(	(	PUNCT
cana-2344	327	13	icecet	icecet	PROPN
cana-2344	327	14	)	)	PUNCT
cana-2344	327	15	,	,	PUNCT
cana-2344	327	16	pp	pp	PROPN
cana-2344	327	17	.	.	PUNCT
cana-2344	328	1	1	1	NUM
cana-2344	328	2	-	-	SYM
cana-2344	328	3	4	4	NUM
cana-2344	328	4	.	.	PUNCT
cana-2344	328	5	ieee	ieee	NOUN
cana-2344	328	6	,	,	PUNCT
cana-2344	328	7	2022	2022	NUM
cana-2344	328	8	.	.	PUNCT
cana-2344	329	1	[	[	X
cana-2344	329	2	5	5	NUM
cana-2344	329	3	]	]	X
cana-2344	329	4	kota	kota	PROPN
cana-2344	329	5	,	,	PUNCT
cana-2344	329	6	venkateswara	venkateswara	PROPN
cana-2344	329	7	rao	rao	PROPN
cana-2344	329	8	,	,	PUNCT
cana-2344	329	9	and	and	CCONJ
cana-2344	329	10	m.	m.	PROPN
cana-2344	329	11	shyamala	shyamala	PROPN
cana-2344	329	12	devi	devi	PROPN
cana-2344	329	13	.	.	PUNCT
cana-2344	330	1	"	"	PUNCT
cana-2344	330	2	multichannel	multichannel	ADJ
cana-2344	330	3	approach	approach	NOUN
cana-2344	330	4	for	for	ADP
cana-2344	330	5	sentiment	sentiment	NOUN
cana-2344	330	6	analysis	analysis	NOUN
cana-2344	330	7	using	use	VERB
cana-2344	330	8	stack	stack	NOUN
cana-2344	330	9	of	of	ADP
cana-2344	330	10	neural	neural	ADJ
cana-2344	330	11	network	network	NOUN
cana-2344	330	12	with	with	ADP
cana-2344	330	13	lexicon	lexicon	NOUN
cana-2344	330	14	based	base	VERB
cana-2344	330	15	padding	padding	NOUN
cana-2344	330	16	and	and	CCONJ
cana-2344	330	17	attention	attention	NOUN
cana-2344	330	18	mechanism	mechanism	NOUN
cana-2344	330	19	.	.	PUNCT
cana-2344	330	20	"	"	PUNCT
cana-2344	330	21	applied	apply	VERB
cana-2344	330	22	computer	computer	NOUN
cana-2344	330	23	systems	system	NOUN
cana-2344	330	24	28	28	NUM
cana-2344	330	25	,	,	PUNCT
cana-2344	330	26	no	no	INTJ
cana-2344	330	27	.	.	NOUN
cana-2344	330	28	1	1	NUM
cana-2344	330	29	(	(	PUNCT
cana-2344	330	30	2023	2023	NUM
cana-2344	330	31	):	):	PUNCT
cana-2344	330	32	137	137	NUM
cana-2344	330	33	-	-	SYM
cana-2344	330	34	147	147	NUM
cana-2344	330	35	.	.	PUNCT
cana-2344	331	1	[	[	X
cana-2344	331	2	6	6	NUM
cana-2344	331	3	]	]	PUNCT
cana-2344	331	4	marutho	marutho	PROPN
cana-2344	331	5	,	,	PUNCT
cana-2344	331	6	dhendra	dhendra	NOUN
cana-2344	331	7	,	,	PUNCT
cana-2344	331	8	and	and	CCONJ
cana-2344	331	9	supriadi	supriadi	PROPN
cana-2344	331	10	rustad	rustad	PROPN
cana-2344	331	11	.	.	PUNCT
cana-2344	332	1	"	"	PUNCT
cana-2344	332	2	sentiment	sentiment	NOUN
cana-2344	332	3	analysis	analysis	NOUN
cana-2344	332	4	optimization	optimization	NOUN
cana-2344	332	5	using	use	VERB
cana-2344	332	6	vader	vader	NOUN
cana-2344	332	7	lexicon	lexicon	NOUN
cana-2344	332	8	on	on	ADP
cana-2344	332	9	machine	machine	NOUN
cana-2344	332	10	learning	learning	NOUN
cana-2344	332	11	approach	approach	NOUN
cana-2344	332	12	.	.	PUNCT
cana-2344	332	13	"	"	PUNCT
cana-2344	333	1	in	in	ADP
cana-2344	333	2	2022	2022	NUM
cana-2344	333	3	international	international	ADJ
cana-2344	333	4	seminar	seminar	NOUN
cana-2344	333	5	on	on	ADP
cana-2344	333	6	intelligent	intelligent	ADJ
cana-2344	333	7	technology	technology	NOUN
cana-2344	333	8	and	and	CCONJ
cana-2344	333	9	its	its	PRON
cana-2344	333	10	applications	application	NOUN
cana-2344	333	11	(	(	PUNCT
cana-2344	333	12	isitia	isitia	NOUN
cana-2344	333	13	)	)	PUNCT
cana-2344	333	14	,	,	PUNCT
cana-2344	333	15	pp	pp	PROPN
cana-2344	333	16	.	.	PUNCT
cana-2344	333	17	98103	98103	NUM
cana-2344	333	18	.	.	PUNCT
cana-2344	333	19	ieee	ieee	NOUN
cana-2344	333	20	,	,	PUNCT
cana-2344	333	21	2022	2022	NUM
cana-2344	333	22	.	.	PUNCT
cana-2344	334	1	[	[	X
cana-2344	334	2	7	7	NUM
cana-2344	334	3	]	]	X
cana-2344	334	4	daniel	daniel	PROPN
cana-2344	334	5	,	,	PUNCT
cana-2344	334	6	d.	d.	PROPN
cana-2344	334	7	anand	anand	PROPN
cana-2344	334	8	joseph	joseph	PROPN
cana-2344	334	9	daniel	daniel	PROPN
cana-2344	334	10	.	.	PUNCT
cana-2344	335	1	"	"	PUNCT
cana-2344	335	2	a	a	DET
cana-2344	335	3	hybrid	hybrid	ADJ
cana-2344	335	4	sentiment	sentiment	NOUN
cana-2344	335	5	analysis	analysis	NOUN
cana-2344	335	6	approach	approach	NOUN
cana-2344	335	7	using	use	VERB
cana-2344	335	8	black	black	ADJ
cana-2344	335	9	widow	widow	NOUN
cana-2344	335	10	optimization	optimization	NOUN
cana-2344	335	11	based	base	VERB
cana-2344	335	12	feature	feature	NOUN
cana-2344	335	13	selection	selection	NOUN
cana-2344	335	14	.	.	PUNCT
cana-2344	335	15	"	"	PUNCT
cana-2344	336	1	journal	journal	NOUN
cana-2344	336	2	of	of	ADP
cana-2344	336	3	engineering	engineering	NOUN
cana-2344	336	4	research	research	NOUN
cana-2344	336	5	11	11	NUM
cana-2344	336	6	,	,	PUNCT
cana-2344	336	7	no	no	INTJ
cana-2344	336	8	.	.	PUNCT
cana-2344	336	9	2a	2a	NUM
cana-2344	336	10	(	(	PUNCT
cana-2344	336	11	2023	2023	NUM
cana-2344	336	12	)	)	PUNCT
cana-2344	336	13	.	.	PUNCT
cana-2344	337	1	[	[	X
cana-2344	337	2	8	8	NUM
cana-2344	337	3	]	]	X
cana-2344	337	4	kumar	kumar	PROPN
cana-2344	337	5	,	,	PUNCT
cana-2344	337	6	kishan	kishan	PROPN
cana-2344	337	7	,	,	PUNCT
cana-2344	337	8	and	and	CCONJ
cana-2344	337	9	robin	robin	PROPN
cana-2344	337	10	singh	singh	PROPN
cana-2344	337	11	bhadoria	bhadoria	PROPN
cana-2344	337	12	.	.	PUNCT
cana-2344	338	1	"	"	PUNCT
cana-2344	338	2	feature	feature	NOUN
cana-2344	338	3	-	-	PUNCT
cana-2344	338	4	based	base	VERB
cana-2344	338	5	linguistic	linguistic	ADJ
cana-2344	338	6	text	text	NOUN
cana-2344	338	7	sentiment	sentiment	NOUN
cana-2344	338	8	analysis	analysis	NOUN
cana-2344	338	9	using	use	VERB
cana-2344	338	10	stacked	stack	VERB
cana-2344	338	11	metaensemble	metaensemble	ADJ
cana-2344	338	12	learning	learning	NOUN
cana-2344	338	13	.	.	PUNCT
cana-2344	338	14	"	"	PUNCT
cana-2344	339	1	in	in	ADP
cana-2344	339	2	2023	2023	NUM
cana-2344	339	3	ieee	ieee	NOUN
cana-2344	339	4	15th	15th	ADJ
cana-2344	339	5	international	international	ADJ
cana-2344	339	6	conference	conference	NOUN
cana-2344	339	7	on	on	ADP
cana-2344	339	8	computational	computational	ADJ
cana-2344	339	9	intelligence	intelligence	NOUN
cana-2344	339	10	and	and	CCONJ
cana-2344	339	11	communication	communication	NOUN
cana-2344	339	12	networks	network	NOUN
cana-2344	339	13	(	(	PUNCT
cana-2344	339	14	cicn	cicn	PROPN
cana-2344	339	15	)	)	PUNCT
cana-2344	339	16	,	,	PUNCT
cana-2344	339	17	pp	pp	PROPN
cana-2344	339	18	.	.	PUNCT
cana-2344	339	19	818	818	NUM
cana-2344	339	20	-	-	SYM
cana-2344	339	21	821	821	NUM
cana-2344	339	22	.	.	PUNCT
cana-2344	339	23	ieee	ieee	NOUN
cana-2344	339	24	,	,	PUNCT
cana-2344	339	25	2023	2023	NUM
cana-2344	339	26	.	.	PUNCT
cana-2344	340	1	[	[	X
cana-2344	340	2	9	9	NUM
cana-2344	340	3	]	]	X
cana-2344	340	4	huang	huang	PROPN
cana-2344	340	5	,	,	PUNCT
cana-2344	340	6	minghui	minghui	NOUN
cana-2344	340	7	,	,	PUNCT
cana-2344	340	8	haoran	haoran	PROPN
cana-2344	340	9	xie	xie	PROPN
cana-2344	340	10	,	,	PUNCT
cana-2344	340	11	yanghui	yanghui	NOUN
cana-2344	340	12	rao	rao	PROPN
cana-2344	340	13	,	,	PUNCT
cana-2344	340	14	yuwei	yuwei	PROPN
cana-2344	340	15	liu	liu	PROPN
cana-2344	340	16	,	,	PUNCT
cana-2344	340	17	leonard	leonard	PROPN
cana-2344	340	18	km	km	PROPN
cana-2344	340	19	poon	poon	NOUN
cana-2344	340	20	,	,	PUNCT
cana-2344	340	21	and	and	CCONJ
cana-2344	340	22	fu	fu	PROPN
cana-2344	340	23	lee	lee	PROPN
cana-2344	340	24	wang	wang	PROPN
cana-2344	340	25	.	.	PUNCT
cana-2344	341	1	"	"	PUNCT
cana-2344	341	2	lexicon	lexicon	NOUN
cana-2344	341	3	-	-	PUNCT
cana-2344	341	4	based	base	VERB
cana-2344	341	5	sentiment	sentiment	NOUN
cana-2344	341	6	convolutional	convolutional	ADJ
cana-2344	341	7	neural	neural	ADJ
cana-2344	341	8	networks	network	NOUN
cana-2344	341	9	for	for	ADP
cana-2344	341	10	online	online	ADJ
cana-2344	341	11	review	review	NOUN
cana-2344	341	12	analysis	analysis	NOUN
cana-2344	341	13	.	.	PUNCT
cana-2344	341	14	"	"	PUNCT
cana-2344	342	1	ieee	ieee	NOUN
cana-2344	342	2	transactions	transaction	NOUN
cana-2344	342	3	on	on	ADP
cana-2344	342	4	affective	affective	NOUN
cana-2344	342	5	computing	computing	NOUN
cana-2344	342	6	13	13	NUM
cana-2344	342	7	,	,	PUNCT
cana-2344	342	8	no	no	INTJ
cana-2344	342	9	.	.	NOUN
cana-2344	342	10	3	3	NUM
cana-2344	342	11	(	(	PUNCT
cana-2344	342	12	2020	2020	NUM
cana-2344	342	13	):	):	PUNCT
cana-2344	342	14	1337	1337	NUM
cana-2344	342	15	-	-	SYM
cana-2344	342	16	1348	1348	NUM
cana-2344	342	17	.	.	PUNCT
cana-2344	343	1	[	[	X
cana-2344	343	2	10	10	NUM
cana-2344	343	3	]	]	X
cana-2344	343	4	hamdan	hamdan	PROPN
cana-2344	343	5	,	,	PUNCT
cana-2344	343	6	hussam	hussam	PROPN
cana-2344	343	7	,	,	PUNCT
cana-2344	343	8	patrice	patrice	NOUN
cana-2344	343	9	bellot	bellot	NOUN
cana-2344	343	10	,	,	PUNCT
cana-2344	343	11	and	and	CCONJ
cana-2344	343	12	frederic	frederic	PROPN
cana-2344	343	13	bechet	bechet	PROPN
cana-2344	343	14	.	.	PUNCT
cana-2344	344	1	"	"	PUNCT
cana-2344	344	2	sentiment	sentiment	NOUN
cana-2344	344	3	lexicon	lexicon	NOUN
cana-2344	344	4	-	-	PUNCT
cana-2344	344	5	based	base	VERB
cana-2344	344	6	features	feature	NOUN
cana-2344	344	7	for	for	ADP
cana-2344	344	8	sentiment	sentiment	NOUN
cana-2344	344	9	analysis	analysis	NOUN
cana-2344	344	10	in	in	ADP
cana-2344	344	11	short	short	ADJ
cana-2344	344	12	text	text	NOUN
cana-2344	344	13	.	.	PUNCT
cana-2344	344	14	"	"	PUNCT
cana-2344	345	1	res	re	NOUN
cana-2344	345	2	.	.	PUNCT
cana-2344	346	1	comput	comput	NOUN
cana-2344	346	2	.	.	PUNCT
cana-2344	347	1	sci	sci	PROPN
cana-2344	347	2	.	.	PROPN
cana-2344	348	1	90	90	NUM
cana-2344	348	2	(	(	PUNCT
cana-2344	348	3	2015	2015	NUM
cana-2344	348	4	):	):	PUNCT
cana-2344	348	5	217	217	NUM
cana-2344	348	6	-	-	SYM
cana-2344	348	7	226	226	NUM
cana-2344	348	8	.	.	PUNCT
cana-2344	349	1	[	[	X
cana-2344	349	2	11	11	NUM
cana-2344	349	3	]	]	X
cana-2344	349	4	limboi	limboi	PROPN
cana-2344	349	5	,	,	PUNCT
cana-2344	349	6	sergiu	sergiu	PROPN
cana-2344	349	7	,	,	PUNCT
cana-2344	349	8	and	and	CCONJ
cana-2344	349	9	laura	laura	PROPN
cana-2344	349	10	dioşan	dioşan	PROPN
cana-2344	349	11	.	.	PUNCT
cana-2344	350	1	"	"	PUNCT
cana-2344	350	2	a	a	DET
cana-2344	350	3	lexicon	lexicon	NOUN
cana-2344	350	4	-	-	PUNCT
cana-2344	350	5	based	base	VERB
cana-2344	350	6	feature	feature	NOUN
cana-2344	350	7	for	for	ADP
cana-2344	350	8	twitter	twitter	NOUN
cana-2344	350	9	sentiment	sentiment	NOUN
cana-2344	350	10	analysis	analysis	NOUN
cana-2344	350	11	.	.	PUNCT
cana-2344	350	12	"	"	PUNCT
cana-2344	351	1	in	in	ADP
cana-2344	351	2	2022	2022	NUM
cana-2344	351	3	ieee	ieee	NOUN
cana-2344	351	4	18th	18th	ADJ
cana-2344	351	5	international	international	ADJ
cana-2344	351	6	conference	conference	NOUN
cana-2344	351	7	on	on	ADP
cana-2344	351	8	intelligent	intelligent	ADJ
cana-2344	351	9	computer	computer	NOUN
cana-2344	351	10	communication	communication	NOUN
cana-2344	351	11	and	and	CCONJ
cana-2344	351	12	processing	processing	NOUN
cana-2344	351	13	(	(	PUNCT
cana-2344	351	14	iccp	iccp	ADV
cana-2344	351	15	)	)	PUNCT
cana-2344	351	16	,	,	PUNCT
cana-2344	351	17	pp	pp	ADP
cana-2344	351	18	.	.	PUNCT
cana-2344	352	1	95	95	NUM
cana-2344	352	2	-	-	SYM
cana-2344	352	3	102	102	NUM
cana-2344	352	4	.	.	PUNCT
cana-2344	353	1	ieee	ieee	NOUN
cana-2344	353	2	,	,	PUNCT
cana-2344	353	3	2022	2022	NUM
cana-2344	353	4	.	.	PUNCT
cana-2344	354	1	[	[	X
cana-2344	354	2	12	12	NUM
cana-2344	354	3	]	]	X
cana-2344	354	4	cheng	cheng	PROPN
cana-2344	354	5	,	,	PUNCT
cana-2344	354	6	letian	letian	PROPN
cana-2344	354	7	.	.	PUNCT
cana-2344	355	1	"	"	PUNCT
cana-2344	355	2	sentiment	sentiment	NOUN
cana-2344	355	3	analysis	analysis	NOUN
cana-2344	355	4	-	-	PUNCT
cana-2344	355	5	based	base	VERB
cana-2344	355	6	recommendation	recommendation	NOUN
cana-2344	355	7	system	system	NOUN
cana-2344	355	8	architecture	architecture	NOUN
cana-2344	355	9	.	.	PUNCT
cana-2344	355	10	"	"	PUNCT
cana-2344	356	1	in	in	ADP
cana-2344	356	2	proceedings	proceeding	NOUN
cana-2344	356	3	of	of	ADP
cana-2344	356	4	the	the	DET
cana-2344	356	5	2023	2023	NUM
cana-2344	356	6	5th	5th	ADJ
cana-2344	356	7	international	international	ADJ
cana-2344	356	8	conference	conference	NOUN
cana-2344	356	9	on	on	ADP
cana-2344	356	10	internet	internet	NOUN
cana-2344	356	11	of	of	ADP
cana-2344	356	12	things	thing	NOUN
cana-2344	356	13	,	,	PUNCT
cana-2344	356	14	automation	automation	NOUN
cana-2344	356	15	and	and	CCONJ
cana-2344	356	16	artificial	artificial	ADJ
cana-2344	356	17	intelligence	intelligence	NOUN
cana-2344	356	18	,	,	PUNCT
cana-2344	356	19	pp	pp	ADJ
cana-2344	356	20	.	.	PUNCT
cana-2344	357	1	744	744	NUM
cana-2344	357	2	-	-	SYM
cana-2344	357	3	750	750	NUM
cana-2344	357	4	.	.	PUNCT
cana-2344	358	1	2023	2023	NUM
cana-2344	358	2	.	.	PUNCT
cana-2344	359	1	communications	communication	NOUN
cana-2344	359	2	on	on	ADP
cana-2344	359	3	applied	apply	VERB
cana-2344	359	4	nonlinear	nonlinear	ADJ
cana-2344	359	5	analysis	analysis	NOUN
cana-2344	359	6	issn	issn	NOUN
cana-2344	359	7	:	:	PUNCT
cana-2344	359	8	1074	1074	NUM
cana-2344	359	9	-	-	PUNCT
cana-2344	359	10	133x	133x	NUM
cana-2344	359	11	vol	vol	NOUN
cana-2344	359	12	32	32	NUM
cana-2344	359	13	no	no	NOUN
cana-2344	359	14	.	.	PUNCT
cana-2344	360	1	1s	1s	NUM
cana-2344	360	2	(	(	PUNCT
cana-2344	360	3	2025	2025	NUM
cana-2344	360	4	)	)	PUNCT
cana-2344	360	5	572	572	NUM
cana-2344	360	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2344	361	1	[	[	X
cana-2344	361	2	13	13	NUM
cana-2344	361	3	]	]	X
cana-2344	361	4	zingade	zingade	NOUN
cana-2344	361	5	,	,	PUNCT
cana-2344	361	6	deeplakshmi	deeplakshmi	VERB
cana-2344	361	7	sachin	sachin	PROPN
cana-2344	361	8	,	,	PUNCT
cana-2344	361	9	rajesh	rajesh	PROPN
cana-2344	361	10	keshavrao	keshavrao	PROPN
cana-2344	361	11	deshmukh	deshmukh	PROPN
cana-2344	361	12	,	,	PUNCT
cana-2344	361	13	and	and	CCONJ
cana-2344	361	14	deepak	deepak	PROPN
cana-2344	361	15	bhimrao	bhimrao	PROPN
cana-2344	361	16	kadam	kadam	PROPN
cana-2344	361	17	.	.	PUNCT
cana-2344	362	1	"	"	PUNCT
cana-2344	362	2	sentiment	sentiment	NOUN
cana-2344	362	3	analysis	analysis	NOUN
cana-2344	362	4	using	use	VERB
cana-2344	362	5	multi	multi	ADJ
cana-2344	362	6	-	-	ADJ
cana-2344	362	7	objective	objective	ADJ
cana-2344	362	8	optimization	optimization	NOUN
cana-2344	362	9	-	-	PUNCT
cana-2344	362	10	based	base	VERB
cana-2344	362	11	feature	feature	NOUN
cana-2344	362	12	selection	selection	NOUN
cana-2344	362	13	approach	approach	NOUN
cana-2344	362	14	.	.	PUNCT
cana-2344	362	15	"	"	PUNCT
cana-2344	363	1	in	in	ADP
cana-2344	363	2	2023	2023	NUM
cana-2344	363	3	4th	4th	ADJ
cana-2344	363	4	international	international	ADJ
cana-2344	363	5	conference	conference	NOUN
cana-2344	363	6	for	for	ADP
cana-2344	363	7	emerging	emerge	VERB
cana-2344	363	8	technology	technology	NOUN
cana-2344	363	9	(	(	PUNCT
cana-2344	363	10	incet	incet	PROPN
cana-2344	363	11	)	)	PUNCT
cana-2344	363	12	,	,	PUNCT
cana-2344	363	13	pp	pp	PROPN
cana-2344	363	14	.	.	PUNCT
cana-2344	363	15	1	1	NUM
cana-2344	363	16	-	-	SYM
cana-2344	363	17	6	6	NUM
cana-2344	363	18	.	.	PUNCT
cana-2344	363	19	ieee	ieee	NOUN
cana-2344	363	20	,	,	PUNCT
cana-2344	363	21	2023	2023	NUM
cana-2344	363	22	.	.	PUNCT
cana-2344	364	1	[	[	X
cana-2344	364	2	14	14	NUM
cana-2344	364	3	]	]	X
cana-2344	364	4	kumar	kumar	PROPN
cana-2344	364	5	,	,	PUNCT
cana-2344	364	6	bobby	bobby	PROPN
cana-2344	364	7	,	,	PUNCT
cana-2344	364	8	veena	veena	PROPN
cana-2344	364	9	s.	s.	PROPN
cana-2344	364	10	badiger	badiger	PROPN
cana-2344	364	11	,	,	PUNCT
cana-2344	364	12	and	and	CCONJ
cana-2344	364	13	anitha	anitha	PROPN
cana-2344	364	14	dsouza	dsouza	PROPN
cana-2344	364	15	jacintha	jacintha	PROPN
cana-2344	364	16	.	.	PUNCT
cana-2344	365	1	"	"	PUNCT
cana-2344	365	2	sentiment	sentiment	VERB
cana-2344	365	3	analysis	analysis	NOUN
cana-2344	365	4	for	for	ADP
cana-2344	365	5	products	product	NOUN
cana-2344	365	6	review	review	NOUN
cana-2344	365	7	based	base	VERB
cana-2344	365	8	on	on	ADP
cana-2344	365	9	nlp	nlp	NOUN
cana-2344	365	10	using	use	VERB
cana-2344	365	11	lexicon	lexicon	NOUN
cana-2344	365	12	-	-	PUNCT
cana-2344	365	13	based	base	VERB
cana-2344	365	14	approach	approach	NOUN
cana-2344	365	15	and	and	CCONJ
cana-2344	365	16	roberta	roberta	PROPN
cana-2344	365	17	.	.	PUNCT
cana-2344	365	18	"	"	PUNCT
cana-2344	366	1	in	in	ADP
cana-2344	366	2	2024	2024	NUM
cana-2344	366	3	international	international	ADJ
cana-2344	366	4	conference	conference	NOUN
cana-2344	366	5	on	on	ADP
cana-2344	366	6	intelligent	intelligent	ADJ
cana-2344	366	7	and	and	CCONJ
cana-2344	366	8	innovative	innovative	ADJ
cana-2344	366	9	technologies	technology	NOUN
cana-2344	366	10	in	in	ADP
cana-2344	366	11	computing	computing	NOUN
cana-2344	366	12	,	,	PUNCT
cana-2344	366	13	electrical	electrical	ADJ
cana-2344	366	14	and	and	CCONJ
cana-2344	366	15	electronics	electronic	NOUN
cana-2344	366	16	(	(	PUNCT
cana-2344	366	17	iitcee	iitcee	NOUN
cana-2344	366	18	)	)	PUNCT
cana-2344	366	19	,	,	PUNCT
cana-2344	366	20	pp	pp	PROPN
cana-2344	366	21	.	.	PUNCT
cana-2344	367	1	1	1	NUM
cana-2344	367	2	-	-	SYM
cana-2344	367	3	6	6	NUM
cana-2344	367	4	.	.	PUNCT
cana-2344	367	5	ieee	ieee	NOUN
cana-2344	367	6	,	,	PUNCT
cana-2344	367	7	2024	2024	NUM
cana-2344	367	8	.	.	PUNCT
cana-2344	368	1	[	[	X
cana-2344	368	2	15	15	NUM
cana-2344	368	3	]	]	X
cana-2344	368	4	mechulam	mechulam	PROPN
cana-2344	368	5	,	,	PUNCT
cana-2344	368	6	nicolás	nicolá	NOUN
cana-2344	368	7	,	,	PUNCT
cana-2344	368	8	damián	damián	NOUN
cana-2344	368	9	salvia	salvia	NOUN
cana-2344	368	10	,	,	PUNCT
cana-2344	368	11	aiala	aiala	PROPN
cana-2344	368	12	rosá	rosá	NOUN
cana-2344	368	13	,	,	PUNCT
cana-2344	368	14	and	and	CCONJ
cana-2344	368	15	mathias	mathias	PROPN
cana-2344	368	16	etcheverry	etcheverry	VERB
cana-2344	368	17	.	.	PUNCT
cana-2344	369	1	"	"	PUNCT
cana-2344	369	2	building	build	VERB
cana-2344	369	3	dynamic	dynamic	ADJ
cana-2344	369	4	lexicons	lexicon	NOUN
cana-2344	369	5	for	for	ADP
cana-2344	369	6	sentiment	sentiment	NOUN
cana-2344	369	7	analysis	analysis	NOUN
cana-2344	369	8	.	.	PUNCT
cana-2344	369	9	"	"	PUNCT
cana-2344	370	1	inteligencia	inteligencia	PROPN
cana-2344	370	2	artificial	artificial	ADJ
cana-2344	370	3	22	22	NUM
cana-2344	370	4	,	,	PUNCT
cana-2344	370	5	no	no	INTJ
cana-2344	370	6	.	.	NOUN
cana-2344	370	7	64	64	NUM
cana-2344	370	8	(	(	PUNCT
cana-2344	370	9	2019	2019	NUM
cana-2344	370	10	):	):	PUNCT
cana-2344	370	11	1	1	NUM
cana-2344	370	12	-	-	SYM
cana-2344	370	13	13	13	NUM
cana-2344	370	14	.	.	PUNCT
cana-2344	371	1	[	[	X
cana-2344	371	2	16	16	NUM
cana-2344	371	3	]	]	SYM
cana-2344	371	4	machová	machová	NOUN
cana-2344	371	5	,	,	PUNCT
cana-2344	371	6	kristína	kristína	VERB
cana-2344	371	7	,	,	PUNCT
cana-2344	371	8	martin	martin	PROPN
cana-2344	371	9	mikula	mikula	PROPN
cana-2344	371	10	,	,	PUNCT
cana-2344	371	11	xiaoying	xiaoye	VERB
cana-2344	371	12	gao	gao	PROPN
cana-2344	371	13	,	,	PUNCT
cana-2344	371	14	and	and	CCONJ
cana-2344	371	15	marian	marian	PROPN
cana-2344	371	16	mach	mach	PROPN
cana-2344	371	17	.	.	PUNCT
cana-2344	372	1	"	"	PUNCT
cana-2344	372	2	lexicon	lexicon	NOUN
cana-2344	372	3	-	-	PUNCT
cana-2344	372	4	based	base	VERB
cana-2344	372	5	sentiment	sentiment	NOUN
cana-2344	372	6	analysis	analysis	NOUN
cana-2344	372	7	using	use	VERB
cana-2344	372	8	the	the	DET
cana-2344	372	9	particle	particle	NOUN
cana-2344	372	10	swarm	swarm	NOUN
cana-2344	372	11	optimization	optimization	NOUN
cana-2344	372	12	.	.	PUNCT
cana-2344	372	13	"	"	PUNCT
cana-2344	373	1	electronics	electronic	NOUN
cana-2344	373	2	9	9	NUM
cana-2344	373	3	,	,	PUNCT
cana-2344	373	4	no	no	INTJ
cana-2344	373	5	.	.	NOUN
cana-2344	373	6	8	8	NUM
cana-2344	373	7	(	(	PUNCT
cana-2344	373	8	2020	2020	NUM
cana-2344	373	9	):	):	PUNCT
cana-2344	373	10	1317	1317	NUM
cana-2344	373	11	.	.	PUNCT
cana-2344	374	1	[	[	X
cana-2344	374	2	17	17	NUM
cana-2344	374	3	]	]	X
cana-2344	374	4	kour	kour	NOUN
cana-2344	374	5	,	,	PUNCT
cana-2344	374	6	kavleen	kavleen	PROPN
cana-2344	374	7	,	,	PUNCT
cana-2344	374	8	jaspreet	jaspreet	PROPN
cana-2344	374	9	kour	kour	NOUN
cana-2344	374	10	,	,	PUNCT
cana-2344	374	11	and	and	CCONJ
cana-2344	374	12	parminder	parminder	ADP
cana-2344	374	13	singh	singh	PROPN
cana-2344	374	14	.	.	PUNCT
cana-2344	375	1	"	"	PUNCT
cana-2344	375	2	lexicon	lexicon	NOUN
cana-2344	375	3	-	-	PUNCT
cana-2344	375	4	based	base	VERB
cana-2344	375	5	sentiment	sentiment	NOUN
cana-2344	375	6	analysis	analysis	NOUN
cana-2344	375	7	.	.	PUNCT
cana-2344	375	8	"	"	PUNCT
cana-2344	376	1	in	in	ADP
cana-2344	376	2	international	international	ADJ
cana-2344	376	3	conference	conference	NOUN
cana-2344	376	4	on	on	ADP
cana-2344	376	5	advanced	advanced	ADJ
cana-2344	376	6	communication	communication	NOUN
cana-2344	376	7	and	and	CCONJ
cana-2344	376	8	computational	computational	ADJ
cana-2344	376	9	technology	technology	NOUN
cana-2344	376	10	,	,	PUNCT
cana-2344	376	11	pp	pp	ADP
cana-2344	376	12	.	.	PUNCT
cana-2344	376	13	1421	1421	NUM
cana-2344	376	14	-	-	SYM
cana-2344	376	15	1430	1430	NUM
cana-2344	376	16	.	.	PUNCT
cana-2344	377	1	singapore	singapore	PROPN
cana-2344	377	2	:	:	PUNCT
cana-2344	377	3	springer	springer	NOUN
cana-2344	377	4	nature	nature	PROPN
cana-2344	377	5	singapore	singapore	PROPN
cana-2344	377	6	,	,	PUNCT
cana-2344	377	7	2019	2019	NUM
cana-2344	377	8	.	.	PUNCT
cana-2344	378	1	[	[	X
cana-2344	378	2	18	18	NUM
cana-2344	378	3	]	]	PUNCT
cana-2344	378	4	saileela	saileela	PROPN
cana-2344	378	5	p	p	PROPN
cana-2344	378	6	,	,	PUNCT
cana-2344	378	7	v.r.n.s.s.v	v.r.n.s.s.v	PROPN
cana-2344	378	8	.	.	PROPN
cana-2344	378	9	,naga	,naga	PUNCT
cana-2344	378	10	malleswara	malleswara	PROPN
cana-2344	378	11	rao	rao	PROPN
cana-2344	378	12	,	,	PUNCT
cana-2344	378	13	n.	n.	NOUN
cana-2344	378	14	,	,	PUNCT
cana-2344	378	15	"	"	PUNCT
cana-2344	378	16	feature	feature	NOUN
cana-2344	378	17	selection	selection	NOUN
cana-2344	378	18	by	by	ADP
cana-2344	378	19	sentiment	sentiment	NOUN
cana-2344	378	20	lexicons	lexicon	NOUN
cana-2344	378	21	and	and	CCONJ
cana-2344	378	22	phrase	phrase	NOUN
cana-2344	378	23	concurrence	concurrence	NOUN
cana-2344	378	24	fitness	fitness	PROPN
cana-2344	378	25	(	(	PUNCT
cana-2344	378	26	slpcf	slpcf	PROPN
cana-2344	378	27	)	)	PUNCT
cana-2344	378	28	for	for	ADP
cana-2344	378	29	opinion	opinion	NOUN
cana-2344	378	30	mining	mining	NOUN
cana-2344	378	31	"	"	PUNCT
cana-2344	378	32	,	,	PUNCT
cana-2344	378	33	journal	journal	NOUN
cana-2344	378	34	of	of	ADP
cana-2344	378	35	advanced	advanced	ADJ
cana-2344	378	36	research	research	NOUN
cana-2344	378	37	in	in	ADP
cana-2344	378	38	dynamical	dynamical	ADJ
cana-2344	378	39	and	and	CCONJ
cana-2344	378	40	control	control	NOUN
cana-2344	378	41	systems	system	NOUN
cana-2344	378	42	10	10	NUM
cana-2344	378	43	(	(	PUNCT
cana-2344	378	44	5	5	NUM
cana-2344	378	45	special	special	ADJ
cana-2344	378	46	issue	issue	NOUN
cana-2344	378	47	)	)	PUNCT
cana-2344	378	48	,	,	PUNCT
cana-2344	378	49	pp.725	pp.725	PROPN
cana-2344	378	50	-	-	PUNCT
cana-2344	378	51	735	735	NUM
cana-2344	378	52	,	,	PUNCT
cana-2344	378	53	20	20	NUM
cana-2344	378	54	april	april	PROPN
cana-2344	378	55	2018	2018	NUM
cana-2344	378	56	[	[	X
cana-2344	378	57	19	19	NUM
cana-2344	378	58	]	]	SYM
cana-2344	378	59	http://thinknook.com/wp-content/uploads/2012/09/sentiment-analysis-dataset.zip	http://thinknook.com/wp-content/uploads/2012/09/sentiment-analysis-dataset.zip	NOUN