id	sid	tid	token	lemma	pos
cana-638	1	1	communications	communication	NOUN
cana-638	1	2	on	on	ADP
cana-638	1	3	applied	apply	VERB
cana-638	1	4	nonlinear	nonlinear	ADJ
cana-638	1	5	analysis	analysis	NOUN
cana-638	1	6	issn	issn	NOUN
cana-638	1	7	:	:	PUNCT
cana-638	1	8	1074	1074	NUM
cana-638	1	9	-	-	PUNCT
cana-638	1	10	133x	133x	NUM
cana-638	1	11	vol	vol	NOUN
cana-638	1	12	31	31	NUM
cana-638	1	13	no	no	NOUN
cana-638	1	14	.	.	PUNCT
cana-638	2	1	2s	2s	NUM
cana-638	2	2	(	(	PUNCT
cana-638	2	3	2024	2024	NUM
cana-638	2	4	)	)	PUNCT
cana-638	2	5	234	234	NUM
cana-638	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	2	7	depression	depression	NOUN
cana-638	2	8	classification	classification	NOUN
cana-638	2	9	using	use	VERB
cana-638	2	10	harris	harris	PROPN
cana-638	2	11	hawk	hawk	PROPN
cana-638	2	12	optimization	optimization	NOUN
cana-638	2	13	(	(	PUNCT
cana-638	2	14	hho	hho	NOUN
cana-638	2	15	)	)	PUNCT
cana-638	2	16	based	base	VERB
cana-638	2	17	recurrent	recurrent	ADJ
cana-638	2	18	fuzzy	fuzzy	ADJ
cana-638	2	19	neural	neural	ADJ
cana-638	2	20	network	network	NOUN
cana-638	2	21	(	(	PUNCT
cana-638	2	22	frnn	frnn	PROPN
cana-638	2	23	)	)	PUNCT
cana-638	2	24	for	for	ADP
cana-638	2	25	sentiment	sentiment	NOUN
cana-638	2	26	analysis	analysis	NOUN
cana-638	2	27	:	:	PUNCT
cana-638	2	28	an	an	DET
cana-638	2	29	applied	applied	ADJ
cana-638	2	30	nonlinear	nonlinear	ADJ
cana-638	2	31	analysis	analysis	NOUN
cana-638	2	32	1	1	NUM
cana-638	2	33	mrs	mrs	PROPN
cana-638	2	34	.	.	PROPN
cana-638	2	35	p.	p.	PROPN
cana-638	2	36	suganya	suganya	PROPN
cana-638	2	37	,	,	PUNCT
cana-638	2	38	2dr	2dr	ADJ
cana-638	2	39	.	.	PUNCT
cana-638	3	1	g.	g.	PROPN
cana-638	3	2	vijaiprabhu	vijaiprabhu	PROPN
cana-638	3	3	,	,	PUNCT
cana-638	3	4	3dr	3dr	NOUN
cana-638	3	5	.	.	PUNCT
cana-638	4	1	n.	n.	PROPN
cana-638	4	2	shanmugapriya	shanmugapriya	PROPN
cana-638	4	3	,	,	PUNCT
cana-638	4	4	4dr	4dr	NOUN
cana-638	4	5	.	.	PUNCT
cana-638	5	1	m	m	PROPN
cana-638	5	2	praneesh	praneesh	ADJ
cana-638	5	3	,	,	PUNCT
cana-638	5	4	5dr	5dr	PROPN
cana-638	5	5	.	.	PUNCT
cana-638	6	1	m.	m.	NOUN
cana-638	6	2	menaka	menaka	ADV
cana-638	6	3	,	,	PUNCT
cana-638	6	4	6dr	6dr	NOUN
cana-638	6	5	.	.	PUNCT
cana-638	7	1	k.	k.	PROPN
cana-638	7	2	sathishkumar	sathishkumar	PROPN
cana-638	7	3	1ph.d	1ph.d	PROPN
cana-638	7	4	research	research	PROPN
cana-638	7	5	scholar	scholar	NOUN
cana-638	7	6	,	,	PUNCT
cana-638	7	7	pg	pg	PROPN
cana-638	7	8	and	and	CCONJ
cana-638	7	9	research	research	PROPN
cana-638	7	10	department	department	PROPN
cana-638	7	11	of	of	ADP
cana-638	7	12	computer	computer	NOUN
cana-638	7	13	science	science	NOUN
cana-638	7	14	,	,	PUNCT
cana-638	7	15	erode	erode	NOUN
cana-638	7	16	arts	art	NOUN
cana-638	7	17	and	and	CCONJ
cana-638	7	18	science	science	NOUN
cana-638	7	19	college(autonomous	college(autonomous	PROPN
cana-638	7	20	)	)	PUNCT
cana-638	7	21	erode	erode	PROPN
cana-638	7	22	,	,	PUNCT
cana-638	7	23	tamilnadu	tamilnadu	NOUN
cana-638	7	24	,	,	PUNCT
cana-638	7	25	india	india	PROPN
cana-638	7	26	.	.	PUNCT
cana-638	7	27	email	email	NOUN
cana-638	7	28	:	:	PUNCT
cana-638	7	29	suganya.rithikjos83@gmail.com	suganya.rithikjos83@gmail.com	X
cana-638	8	1	2assistant	2assistant	NUM
cana-638	8	2	professor	professor	NOUN
cana-638	8	3	,	,	PUNCT
cana-638	8	4	pg	pg	NOUN
cana-638	8	5	and	and	CCONJ
cana-638	8	6	research	research	PROPN
cana-638	8	7	department	department	PROPN
cana-638	8	8	of	of	ADP
cana-638	8	9	computer	computer	NOUN
cana-638	8	10	science	science	NOUN
cana-638	8	11	,	,	PUNCT
cana-638	8	12	erode	erode	NOUN
cana-638	8	13	arts	art	NOUN
cana-638	8	14	and	and	CCONJ
cana-638	8	15	science	science	PROPN
cana-638	8	16	college	college	PROPN
cana-638	8	17	(	(	PUNCT
cana-638	8	18	autonomous	autonomous	ADJ
cana-638	8	19	)	)	PUNCT
cana-638	8	20	erode	erode	PROPN
cana-638	8	21	,	,	PUNCT
cana-638	8	22	tamilnadu	tamilnadu	NOUN
cana-638	8	23	,	,	PUNCT
cana-638	8	24	india	india	PROPN
cana-638	8	25	.	.	PUNCT
cana-638	8	26	email	email	NOUN
cana-638	8	27	:	:	PUNCT
cana-638	8	28	gvprabhu7@gmail.com	gvprabhu7@gmail.com	X
cana-638	8	29	3assistant	3assistant	NUM
cana-638	8	30	professor	professor	NOUN
cana-638	8	31	&	&	CCONJ
cana-638	8	32	head	head	PROPN
cana-638	8	33	,	,	PUNCT
cana-638	8	34	department	department	NOUN
cana-638	8	35	of	of	ADP
cana-638	8	36	information	information	NOUN
cana-638	8	37	technology	technology	NOUN
cana-638	8	38	,	,	PUNCT
cana-638	8	39	erode	erode	NOUN
cana-638	8	40	arts	art	NOUN
cana-638	8	41	and	and	CCONJ
cana-638	8	42	science	science	PROPN
cana-638	8	43	college	college	PROPN
cana-638	8	44	(	(	PUNCT
cana-638	8	45	autonomous	autonomous	ADJ
cana-638	8	46	)	)	PUNCT
cana-638	8	47	erode	erode	PROPN
cana-638	8	48	,	,	PUNCT
cana-638	8	49	tamilnadu	tamilnadu	NOUN
cana-638	8	50	,	,	PUNCT
cana-638	8	51	india	india	PROPN
cana-638	8	52	.	.	PUNCT
cana-638	8	53	email	email	NOUN
cana-638	8	54	:	:	PUNCT
cana-638	9	1	sweetypriya26@gmail.com	sweetypriya26@gmail.com	PROPN
cana-638	9	2	4assistant	4assistant	NUM
cana-638	9	3	professor	professor	NOUN
cana-638	9	4	,	,	PUNCT
cana-638	9	5	department	department	NOUN
cana-638	9	6	of	of	ADP
cana-638	9	7	computer	computer	NOUN
cana-638	9	8	science	science	NOUN
cana-638	9	9	with	with	ADP
cana-638	9	10	data	datum	NOUN
cana-638	9	11	analytics	analytic	NOUN
cana-638	9	12	,	,	PUNCT
cana-638	9	13	sri	sri	PROPN
cana-638	9	14	ramakrishna	ramakrishna	PROPN
cana-638	9	15	college	college	PROPN
cana-638	9	16	of	of	ADP
cana-638	9	17	arts	arts	PROPN
cana-638	9	18	&	&	CCONJ
cana-638	9	19	science	science	PROPN
cana-638	9	20	,	,	PUNCT
cana-638	9	21	coimbatore	coimbatore	PROPN
cana-638	9	22	,	,	PUNCT
cana-638	9	23	tamilnadu	tamilnadu	NOUN
cana-638	9	24	,	,	PUNCT
cana-638	9	25	india	india	PROPN
cana-638	9	26	.	.	PUNCT
cana-638	9	27	email	email	NOUN
cana-638	9	28	:	:	PUNCT
cana-638	9	29	raja.praneesh@gmail.com	raja.praneesh@gmail.com	X
cana-638	9	30	5assistant	5assistant	NUM
cana-638	9	31	professor	professor	NOUN
cana-638	9	32	&	&	CCONJ
cana-638	9	33	head	head	PROPN
cana-638	9	34	,	,	PUNCT
cana-638	9	35	department	department	NOUN
cana-638	9	36	of	of	ADP
cana-638	9	37	computer	computer	NOUN
cana-638	9	38	technology	technology	NOUN
cana-638	9	39	,	,	PUNCT
cana-638	9	40	erode	erode	NOUN
cana-638	9	41	arts	art	NOUN
cana-638	9	42	and	and	CCONJ
cana-638	9	43	science	science	PROPN
cana-638	9	44	college	college	PROPN
cana-638	9	45	(	(	PUNCT
cana-638	9	46	autonomous	autonomous	ADJ
cana-638	9	47	)	)	PUNCT
cana-638	9	48	erode	erode	PROPN
cana-638	9	49	,	,	PUNCT
cana-638	9	50	tamilnadu	tamilnadu	NOUN
cana-638	9	51	,	,	PUNCT
cana-638	9	52	india	india	PROPN
cana-638	9	53	.	.	PUNCT
cana-638	9	54	email	email	NOUN
cana-638	9	55	:	:	PUNCT
cana-638	9	56	menarameac@gmail.com	menarameac@gmail.com	X
cana-638	10	1	6assistant	6assistant	NUM
cana-638	10	2	professor	professor	NOUN
cana-638	10	3	,	,	PUNCT
cana-638	10	4	pg	pg	NOUN
cana-638	10	5	and	and	CCONJ
cana-638	10	6	research	research	PROPN
cana-638	10	7	department	department	PROPN
cana-638	10	8	of	of	ADP
cana-638	10	9	computer	computer	NOUN
cana-638	10	10	science	science	NOUN
cana-638	10	11	,	,	PUNCT
cana-638	10	12	erode	erode	NOUN
cana-638	10	13	arts	art	NOUN
cana-638	10	14	and	and	CCONJ
cana-638	10	15	science	science	PROPN
cana-638	10	16	college	college	PROPN
cana-638	10	17	(	(	PUNCT
cana-638	10	18	autonomous	autonomous	ADJ
cana-638	10	19	)	)	PUNCT
cana-638	10	20	erode	erode	PROPN
cana-638	10	21	,	,	PUNCT
cana-638	10	22	tamilnadu	tamilnadu	NOUN
cana-638	10	23	,	,	PUNCT
cana-638	10	24	india	india	PROPN
cana-638	10	25	.	.	PUNCT
cana-638	10	26	email	email	NOUN
cana-638	10	27	:	:	PUNCT
cana-638	11	1	sathishkumark@ieee.org	sathishkumark@ieee.org	PROPN
cana-638	11	2	article	article	NOUN
cana-638	11	3	history	history	NOUN
cana-638	11	4	:	:	PUNCT
cana-638	11	5	received	receive	VERB
cana-638	11	6	:	:	PUNCT
cana-638	11	7	22	22	NUM
cana-638	11	8	-	-	SYM
cana-638	11	9	03	03	NUM
cana-638	11	10	-	-	PUNCT
cana-638	11	11	2024	2024	NUM
cana-638	11	12	revised	revise	VERB
cana-638	11	13	:	:	PUNCT
cana-638	11	14	12	12	NUM
cana-638	11	15	-	-	SYM
cana-638	11	16	05	05	NUM
cana-638	11	17	-	-	PUNCT
cana-638	11	18	2024	2024	NUM
cana-638	11	19	accepted	accept	VERB
cana-638	11	20	:	:	PUNCT
cana-638	11	21	22	22	NUM
cana-638	11	22	-	-	SYM
cana-638	11	23	05	05	NUM
cana-638	11	24	-	-	PUNCT
cana-638	11	25	2024	2024	NUM
cana-638	11	26	abstract	abstract	NOUN
cana-638	11	27	:	:	PUNCT
cana-638	11	28	the	the	DET
cana-638	11	29	research	research	NOUN
cana-638	11	30	introduces	introduce	VERB
cana-638	11	31	a	a	DET
cana-638	11	32	novel	novel	ADJ
cana-638	11	33	approach	approach	NOUN
cana-638	11	34	for	for	ADP
cana-638	11	35	sentiment	sentiment	NOUN
cana-638	11	36	analysis	analysis	NOUN
cana-638	11	37	by	by	ADP
cana-638	11	38	combining	combine	VERB
cana-638	11	39	harris	harris	PROPN
cana-638	11	40	hawk	hawk	PROPN
cana-638	11	41	optimization	optimization	NOUN
cana-638	11	42	(	(	PUNCT
cana-638	11	43	hho	hho	NOUN
cana-638	11	44	)	)	PUNCT
cana-638	11	45	with	with	ADP
cana-638	11	46	a	a	DET
cana-638	11	47	recurrent	recurrent	ADJ
cana-638	11	48	fuzzy	fuzzy	ADJ
cana-638	11	49	neural	neural	ADJ
cana-638	11	50	network	network	NOUN
cana-638	11	51	(	(	PUNCT
cana-638	11	52	frnn	frnn	PROPN
cana-638	11	53	)	)	PUNCT
cana-638	11	54	.	.	PUNCT
cana-638	12	1	sentiment	sentiment	NOUN
cana-638	12	2	analysis	analysis	NOUN
cana-638	12	3	,	,	PUNCT
cana-638	12	4	crucial	crucial	ADJ
cana-638	12	5	in	in	ADP
cana-638	12	6	natural	natural	ADJ
cana-638	12	7	language	language	NOUN
cana-638	12	8	processing	processing	NOUN
cana-638	12	9	,	,	PUNCT
cana-638	12	10	often	often	ADV
cana-638	12	11	struggles	struggle	VERB
cana-638	12	12	with	with	ADP
cana-638	12	13	the	the	DET
cana-638	12	14	complexities	complexity	NOUN
cana-638	12	15	of	of	ADP
cana-638	12	16	language	language	NOUN
cana-638	12	17	.	.	PUNCT
cana-638	13	1	the	the	DET
cana-638	13	2	proposed	propose	VERB
cana-638	13	3	methodology	methodology	NOUN
cana-638	13	4	addresses	address	VERB
cana-638	13	5	these	these	DET
cana-638	13	6	challenges	challenge	NOUN
cana-638	13	7	by	by	ADP
cana-638	13	8	leveraging	leverage	VERB
cana-638	13	9	hho	hho	NOUN
cana-638	13	10	's	's	PART
cana-638	13	11	adaptability	adaptability	NOUN
cana-638	13	12	and	and	CCONJ
cana-638	13	13	frnn	frnn	VERB
cana-638	13	14	's	's	PART
cana-638	13	15	temporal	temporal	ADJ
cana-638	13	16	modeling	modeling	NOUN
cana-638	13	17	capabilities	capability	NOUN
cana-638	13	18	.	.	PUNCT
cana-638	14	1	frnn	frnn	NOUN
cana-638	14	2	,	,	PUNCT
cana-638	14	3	with	with	ADP
cana-638	14	4	recurrent	recurrent	ADJ
cana-638	14	5	connections	connection	NOUN
cana-638	14	6	,	,	PUNCT
cana-638	14	7	effectively	effectively	ADV
cana-638	14	8	captures	capture	VERB
cana-638	14	9	temporal	temporal	ADJ
cana-638	14	10	dependencies	dependency	NOUN
cana-638	14	11	in	in	ADP
cana-638	14	12	sequential	sequential	ADJ
cana-638	14	13	data	datum	NOUN
cana-638	14	14	,	,	PUNCT
cana-638	14	15	making	make	VERB
cana-638	14	16	it	it	PRON
cana-638	14	17	suitable	suitable	ADJ
cana-638	14	18	for	for	ADP
cana-638	14	19	sentiment	sentiment	NOUN
cana-638	14	20	analysis	analysis	NOUN
cana-638	14	21	.	.	PUNCT
cana-638	15	1	additionally	additionally	ADV
cana-638	15	2	,	,	PUNCT
cana-638	15	3	fuzzy	fuzzy	ADJ
cana-638	15	4	logic	logic	NOUN
cana-638	15	5	in	in	ADP
cana-638	15	6	frnn	frnn	NOUN
cana-638	15	7	handles	handle	VERB
cana-638	15	8	linguistic	linguistic	ADJ
cana-638	15	9	uncertainty	uncertainty	NOUN
cana-638	15	10	,	,	PUNCT
cana-638	15	11	enhancing	enhance	VERB
cana-638	15	12	model	model	NOUN
cana-638	15	13	robustness	robustness	NOUN
cana-638	15	14	.	.	PUNCT
cana-638	16	1	the	the	DET
cana-638	16	2	methodology	methodology	NOUN
cana-638	16	3	involves	involve	VERB
cana-638	16	4	preprocessing	preprocessing	NOUN
cana-638	16	5	tweets	tweet	NOUN
cana-638	16	6	,	,	PUNCT
cana-638	16	7	feature	feature	NOUN
cana-638	16	8	extraction	extraction	NOUN
cana-638	16	9	using	use	VERB
cana-638	16	10	techniques	technique	NOUN
cana-638	16	11	like	like	ADP
cana-638	16	12	latent	latent	NOUN
cana-638	16	13	semantic	semantic	ADJ
cana-638	16	14	analysis	analysis	NOUN
cana-638	16	15	(	(	PUNCT
cana-638	16	16	lsa	lsa	NOUN
cana-638	16	17	)	)	PUNCT
cana-638	16	18	,	,	PUNCT
cana-638	16	19	independent	independent	ADJ
cana-638	16	20	component	component	NOUN
cana-638	16	21	analysis	analysis	NOUN
cana-638	16	22	(	(	PUNCT
cana-638	16	23	ica	ica	PROPN
cana-638	16	24	)	)	PUNCT
cana-638	16	25	,	,	PUNCT
cana-638	16	26	and	and	CCONJ
cana-638	16	27	lexicon	lexicon	NOUN
cana-638	16	28	-	-	PUNCT
cana-638	16	29	based	base	VERB
cana-638	16	30	analysis	analysis	NOUN
cana-638	16	31	.	.	PUNCT
cana-638	17	1	feature	feature	NOUN
cana-638	17	2	selection	selection	NOUN
cana-638	17	3	methods	method	NOUN
cana-638	17	4	like	like	ADP
cana-638	17	5	pmi	pmi	NOUN
cana-638	17	6	,	,	PUNCT
cana-638	17	7	chi	chi	NOUN
cana-638	17	8	-	-	PUNCT
cana-638	17	9	square	square	NOUN
cana-638	17	10	,	,	PUNCT
cana-638	17	11	and	and	CCONJ
cana-638	17	12	dfs	dfs	PROPN
cana-638	17	13	are	be	AUX
cana-638	17	14	employed	employ	VERB
cana-638	17	15	to	to	PART
cana-638	17	16	reduce	reduce	VERB
cana-638	17	17	dimensionality	dimensionality	NOUN
cana-638	17	18	.	.	PUNCT
cana-638	18	1	the	the	DET
cana-638	18	2	sentiment	sentiment	NOUN
cana-638	18	3	classification	classification	NOUN
cana-638	18	4	utilizes	utilizes	ADJ
cana-638	18	5	kernel	kernel	PROPN
cana-638	18	6	extreme	extreme	PROPN
cana-638	18	7	learning	learn	VERB
cana-638	18	8	machine	machine	NOUN
cana-638	18	9	(	(	PUNCT
cana-638	18	10	kelm	kelm	PROPN
cana-638	18	11	)	)	PUNCT
cana-638	18	12	,	,	PUNCT
cana-638	18	13	where	where	SCONJ
cana-638	18	14	kelm	kelm	PROPN
cana-638	18	15	's	's	PART
cana-638	18	16	kernel	kernel	PROPN
cana-638	18	17	function	function	PROPN
cana-638	18	18	eliminates	eliminate	VERB
cana-638	18	19	the	the	DET
cana-638	18	20	need	need	NOUN
cana-638	18	21	for	for	ADP
cana-638	18	22	setting	set	VERB
cana-638	18	23	hidden	hide	VERB
cana-638	18	24	node	node	ADJ
cana-638	18	25	size	size	NOUN
cana-638	18	26	.	.	PUNCT
cana-638	19	1	the	the	DET
cana-638	19	2	sentiments	sentiment	NOUN
cana-638	19	3	are	be	AUX
cana-638	19	4	then	then	ADV
cana-638	19	5	detected	detect	VERB
cana-638	19	6	using	use	VERB
cana-638	19	7	the	the	DET
cana-638	19	8	hho	hho	NOUN
cana-638	19	9	-	-	PUNCT
cana-638	19	10	based	base	VERB
cana-638	19	11	frnn	frnn	NOUN
cana-638	19	12	,	,	PUNCT
cana-638	19	13	optimizing	optimize	VERB
cana-638	19	14	weight	weight	NOUN
cana-638	19	15	parameters	parameter	NOUN
cana-638	19	16	for	for	ADP
cana-638	19	17	classification	classification	NOUN
cana-638	19	18	accuracy	accuracy	NOUN
cana-638	19	19	.	.	PUNCT
cana-638	20	1	hho	hho	NOUN
cana-638	20	2	's	's	PART
cana-638	20	3	hunting	hunt	VERB
cana-638	20	4	phases	phase	NOUN
cana-638	20	5	aid	aid	VERB
cana-638	20	6	in	in	ADP
cana-638	20	7	the	the	DET
cana-638	20	8	convergence	convergence	NOUN
cana-638	20	9	of	of	ADP
cana-638	20	10	the	the	DET
cana-638	20	11	algorithm	algorithm	NOUN
cana-638	20	12	,	,	PUNCT
cana-638	20	13	reducing	reduce	VERB
cana-638	20	14	computational	computational	ADJ
cana-638	20	15	complexity	complexity	NOUN
cana-638	20	16	.	.	PUNCT
cana-638	21	1	experimental	experimental	ADJ
cana-638	21	2	evaluations	evaluation	NOUN
cana-638	21	3	demonstrate	demonstrate	VERB
cana-638	21	4	superior	superior	ADJ
cana-638	21	5	performance	performance	NOUN
cana-638	21	6	over	over	ADP
cana-638	21	7	existing	exist	VERB
cana-638	21	8	techniques	technique	NOUN
cana-638	21	9	,	,	PUNCT
cana-638	21	10	offering	offer	VERB
cana-638	21	11	a	a	DET
cana-638	21	12	promising	promising	ADJ
cana-638	21	13	avenue	avenue	NOUN
cana-638	21	14	for	for	ADP
cana-638	21	15	sentiment	sentiment	NOUN
cana-638	21	16	analysis	analysis	NOUN
cana-638	21	17	in	in	ADP
cana-638	21	18	natural	natural	ADJ
cana-638	21	19	language	language	NOUN
cana-638	21	20	processing	processing	NOUN
cana-638	21	21	research	research	NOUN
cana-638	21	22	.	.	PUNCT
cana-638	22	1	keywords	keyword	NOUN
cana-638	22	2	:	:	PUNCT
cana-638	22	3	depression	depression	NOUN
cana-638	22	4	classification	classification	NOUN
cana-638	22	5	,	,	PUNCT
cana-638	22	6	sentiment	sentiment	NOUN
cana-638	22	7	analysis	analysis	NOUN
cana-638	22	8	,	,	PUNCT
cana-638	22	9	recurrent	recurrent	ADJ
cana-638	22	10	fuzzy	fuzzy	ADJ
cana-638	22	11	neural	neural	ADJ
cana-638	22	12	network	network	NOUN
cana-638	22	13	,	,	PUNCT
cana-638	22	14	harris	harris	PROPN
cana-638	22	15	hawk	hawk	PROPN
cana-638	22	16	optimization	optimization	PROPN
cana-638	22	17	,	,	PUNCT
cana-638	22	18	machine	machine	NOUN
cana-638	22	19	learning	learning	NOUN
cana-638	22	20	,	,	PUNCT
cana-638	22	21	mental	mental	ADJ
cana-638	22	22	health	health	NOUN
cana-638	22	23	,	,	PUNCT
cana-638	22	24	applied	apply	VERB
cana-638	22	25	nonlinear	nonlinear	ADJ
cana-638	22	26	analysis	analysis	NOUN
cana-638	22	27	.	.	PUNCT
cana-638	23	1	1	1	X
cana-638	23	2	.	.	X
cana-638	23	3	introduction	introduction	NOUN
cana-638	23	4	twitter	twitter	NOUN
cana-638	23	5	data	datum	NOUN
cana-638	23	6	mining	mining	NOUN
cana-638	23	7	is	be	AUX
cana-638	23	8	the	the	DET
cana-638	23	9	process	process	NOUN
cana-638	23	10	of	of	ADP
cana-638	23	11	discovering	discover	VERB
cana-638	23	12	high	high	ADJ
cana-638	23	13	quality	quality	NOUN
cana-638	23	14	information	information	NOUN
cana-638	23	15	or	or	CCONJ
cana-638	23	16	knowledge	knowledge	NOUN
cana-638	23	17	from	from	ADP
cana-638	23	18	the	the	DET
cana-638	23	19	huge	huge	ADJ
cana-638	23	20	volume	volume	NOUN
cana-638	23	21	of	of	ADP
cana-638	23	22	unstructured	unstructured	ADJ
cana-638	23	23	data	datum	NOUN
cana-638	23	24	.	.	PUNCT
cana-638	24	1	it	it	PRON
cana-638	24	2	is	be	AUX
cana-638	24	3	also	also	ADV
cana-638	24	4	known	know	VERB
cana-638	24	5	as	as	ADP
cana-638	24	6	twitter	twitter	NOUN
cana-638	24	7	data	datum	NOUN
cana-638	24	8	mining	mining	NOUN
cana-638	24	9	[	[	X
cana-638	24	10	1	1	NUM
cana-638	24	11	]	]	PUNCT
cana-638	24	12	.	.	PUNCT
cana-638	25	1	unstructured	unstructured	ADJ
cana-638	25	2	data	data	PROPN
cana-638	25	3	consists	consist	VERB
cana-638	25	4	mailto:raja.praneesh@gmail.com	mailto:raja.praneesh@gmail.com	PROPN
cana-638	25	5	communications	communication	NOUN
cana-638	25	6	on	on	ADP
cana-638	25	7	applied	apply	VERB
cana-638	25	8	nonlinear	nonlinear	ADJ
cana-638	25	9	analysis	analysis	NOUN
cana-638	25	10	issn	issn	NOUN
cana-638	25	11	:	:	PUNCT
cana-638	25	12	1074	1074	NUM
cana-638	25	13	-	-	PUNCT
cana-638	25	14	133x	133x	NUM
cana-638	25	15	vol	vol	NOUN
cana-638	25	16	31	31	NUM
cana-638	25	17	no	no	NOUN
cana-638	25	18	.	.	PUNCT
cana-638	26	1	2s	2s	NUM
cana-638	26	2	(	(	PUNCT
cana-638	26	3	2024	2024	NUM
cana-638	26	4	)	)	PUNCT
cana-638	26	5	235	235	NUM
cana-638	26	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	26	7	of	of	ADP
cana-638	26	8	text	text	NOUN
cana-638	26	9	,	,	PUNCT
cana-638	26	10	charts	chart	NOUN
cana-638	26	11	and	and	CCONJ
cana-638	26	12	multimedia	multimedia	PROPN
cana-638	26	13	information	information	NOUN
cana-638	26	14	.	.	PUNCT
cana-638	27	1	there	there	PRON
cana-638	27	2	is	be	VERB
cana-638	27	3	no	no	DET
cana-638	27	4	common	common	ADJ
cana-638	27	5	format	format	NOUN
cana-638	27	6	for	for	ADP
cana-638	27	7	unstructured	unstructured	ADJ
cana-638	27	8	data	datum	NOUN
cana-638	27	9	and	and	CCONJ
cana-638	27	10	it	it	PRON
cana-638	27	11	does	do	AUX
cana-638	27	12	not	not	PART
cana-638	27	13	fall	fall	VERB
cana-638	27	14	into	into	ADP
cana-638	27	15	any	any	DET
cana-638	27	16	predefined	predefine	VERB
cana-638	27	17	representation	representation	NOUN
cana-638	27	18	[	[	X
cana-638	27	19	2	2	NUM
cana-638	27	20	,	,	PUNCT
cana-638	27	21	3	3	NUM
cana-638	27	22	]	]	PUNCT
cana-638	27	23	.	.	PUNCT
cana-638	28	1	it	it	PRON
cana-638	28	2	generates	generate	VERB
cana-638	28	3	many	many	ADJ
cana-638	28	4	irregularities	irregularity	NOUN
cana-638	28	5	and	and	CCONJ
cana-638	28	6	uncertainties	uncertainty	NOUN
cana-638	28	7	hence	hence	ADV
cana-638	28	8	it	it	PRON
cana-638	28	9	is	be	AUX
cana-638	28	10	hard	hard	ADJ
cana-638	28	11	for	for	SCONJ
cana-638	28	12	a	a	DET
cana-638	28	13	computer	computer	NOUN
cana-638	28	14	to	to	PART
cana-638	28	15	understand	understand	VERB
cana-638	28	16	.	.	PUNCT
cana-638	29	1	it	it	PRON
cana-638	29	2	deals	deal	VERB
cana-638	29	3	with	with	ADP
cana-638	29	4	the	the	DET
cana-638	29	5	natural	natural	ADJ
cana-638	29	6	language	language	NOUN
cana-638	29	7	text	text	NOUN
cana-638	29	8	that	that	PRON
cana-638	29	9	is	be	AUX
cana-638	29	10	available	available	ADJ
cana-638	29	11	either	either	CCONJ
cana-638	29	12	in	in	ADP
cana-638	29	13	the	the	DET
cana-638	29	14	form	form	NOUN
cana-638	29	15	of	of	ADP
cana-638	29	16	semi	semi	ADJ
cana-638	29	17	-	-	ADJ
cana-638	29	18	structured	structured	ADJ
cana-638	29	19	or	or	CCONJ
cana-638	29	20	unstructured	unstructured	ADJ
cana-638	29	21	and	and	CCONJ
cana-638	29	22	it	it	PRON
cana-638	29	23	is	be	AUX
cana-638	29	24	a	a	DET
cana-638	29	25	multidisciplinary	multidisciplinary	ADJ
cana-638	29	26	field	field	NOUN
cana-638	29	27	which	which	PRON
cana-638	29	28	incorporate	incorporate	VERB
cana-638	29	29	and	and	CCONJ
cana-638	29	30	integrate	integrate	VERB
cana-638	29	31	the	the	DET
cana-638	29	32	various	various	ADJ
cana-638	29	33	domains	domain	NOUN
cana-638	29	34	like	like	ADP
cana-638	29	35	,	,	PUNCT
cana-638	29	36	data	datum	NOUN
cana-638	29	37	mining	mining	NOUN
cana-638	29	38	,	,	PUNCT
cana-638	29	39	machine	machine	NOUN
cana-638	29	40	learning	learning	NOUN
cana-638	29	41	,	,	PUNCT
cana-638	29	42	information	information	NOUN
cana-638	29	43	retrieval	retrieval	NOUN
cana-638	29	44	,	,	PUNCT
cana-638	29	45	statistics	statistic	NOUN
cana-638	29	46	,	,	PUNCT
cana-638	29	47	natural	natural	ADJ
cana-638	29	48	language	language	NOUN
cana-638	29	49	processing	processing	NOUN
cana-638	29	50	and	and	CCONJ
cana-638	29	51	computational	computational	ADJ
cana-638	29	52	linguistics	linguistic	NOUN
cana-638	30	1	[	[	X
cana-638	30	2	4	4	NUM
cana-638	30	3	]	]	PUNCT
cana-638	30	4	.	.	PUNCT
cana-638	31	1	sentimental	sentimental	ADJ
cana-638	31	2	analysis	analysis	NOUN
cana-638	31	3	is	be	AUX
cana-638	31	4	the	the	DET
cana-638	31	5	task	task	NOUN
cana-638	31	6	of	of	ADP
cana-638	31	7	determining	determine	VERB
cana-638	31	8	whether	whether	SCONJ
cana-638	31	9	the	the	DET
cana-638	31	10	given	give	VERB
cana-638	31	11	piece	piece	NOUN
cana-638	31	12	of	of	ADP
cana-638	31	13	text	text	NOUN
cana-638	31	14	is	be	AUX
cana-638	31	15	positive	positive	ADJ
cana-638	31	16	,	,	PUNCT
cana-638	31	17	negative	negative	ADJ
cana-638	31	18	,	,	PUNCT
cana-638	31	19	or	or	CCONJ
cana-638	31	20	neutral	neutral	ADJ
cana-638	31	21	[	[	X
cana-638	31	22	5	5	NUM
cana-638	31	23	]	]	PUNCT
cana-638	31	24	.	.	PUNCT
cana-638	32	1	a	a	DET
cana-638	32	2	sentimental	sentimental	ADJ
cana-638	32	3	analysis	analysis	NOUN
cana-638	32	4	system	system	NOUN
cana-638	32	5	integrates	integrate	VERB
cana-638	32	6	natural	natural	ADJ
cana-638	32	7	language	language	NOUN
cana-638	32	8	processing	processing	NOUN
cana-638	32	9	and	and	CCONJ
cana-638	32	10	machine	machine	NOUN
cana-638	32	11	learning	learn	VERB
cana-638	32	12	techniques	technique	NOUN
cana-638	32	13	to	to	PART
cana-638	32	14	assign	assign	VERB
cana-638	32	15	a	a	DET
cana-638	32	16	probabilistic	probabilistic	ADJ
cana-638	32	17	score	score	NOUN
cana-638	32	18	to	to	ADP
cana-638	32	19	each	each	DET
cana-638	32	20	object	object	NOUN
cana-638	32	21	,	,	PUNCT
cana-638	32	22	topic	topic	NOUN
cana-638	32	23	,	,	PUNCT
cana-638	32	24	sentiment	sentiment	NOUN
cana-638	32	25	,	,	PUNCT
cana-638	32	26	theme	theme	NOUN
cana-638	32	27	,	,	PUNCT
cana-638	32	28	or	or	CCONJ
cana-638	32	29	class	class	NOUN
cana-638	32	30	.	.	PUNCT
cana-638	33	1	data	datum	NOUN
cana-638	33	2	analytics	analytic	NOUN
cana-638	33	3	industries	industry	NOUN
cana-638	33	4	often	often	ADV
cana-638	33	5	incorporate	incorporate	VERB
cana-638	33	6	third	third	ADJ
cana-638	33	7	-	-	PUNCT
cana-638	33	8	party	party	NOUN
cana-638	33	9	application	application	NOUN
cana-638	33	10	interfaces	interface	NOUN
cana-638	33	11	into	into	ADP
cana-638	33	12	their	their	PRON
cana-638	33	13	customer	customer	NOUN
cana-638	33	14	experience	experience	NOUN
cana-638	33	15	management	management	NOUN
cana-638	33	16	system	system	NOUN
cana-638	33	17	to	to	PART
cana-638	33	18	offer	offer	VERB
cana-638	33	19	users	user	NOUN
cana-638	33	20	insights	insight	NOUN
cana-638	33	21	to	to	ADP
cana-638	33	22	their	their	PRON
cana-638	33	23	end	end	NOUN
cana-638	33	24	-	-	PUNCT
cana-638	33	25	users	user	NOUN
cana-638	33	26	[	[	X
cana-638	33	27	6	6	NUM
cana-638	33	28	,	,	PUNCT
cana-638	33	29	7	7	NUM
cana-638	33	30	]	]	PUNCT
cana-638	33	31	.	.	PUNCT
cana-638	34	1	the	the	DET
cana-638	34	2	sentimental	sentimental	ADJ
cana-638	34	3	analysis	analysis	NOUN
cana-638	34	4	conducted	conduct	VERB
cana-638	34	5	in	in	ADP
cana-638	34	6	the	the	DET
cana-638	34	7	tweets	tweet	NOUN
cana-638	34	8	is	be	AUX
cana-638	34	9	a	a	DET
cana-638	34	10	straightforward	straightforward	ADJ
cana-638	34	11	process	process	NOUN
cana-638	34	12	.	.	PUNCT
cana-638	35	1	initially	initially	ADV
cana-638	35	2	,	,	PUNCT
cana-638	35	3	each	each	DET
cana-638	35	4	text	text	NOUN
cana-638	35	5	tweet	tweet	NOUN
cana-638	35	6	is	be	AUX
cana-638	35	7	broken	break	VERB
cana-638	35	8	down	down	ADP
cana-638	35	9	into	into	ADP
cana-638	35	10	different	different	ADJ
cana-638	35	11	components	component	NOUN
cana-638	35	12	(	(	PUNCT
cana-638	35	13	sentences	sentence	NOUN
cana-638	35	14	,	,	PUNCT
cana-638	35	15	phrases	phrase	NOUN
cana-638	35	16	,	,	PUNCT
cana-638	35	17	tokens	token	NOUN
cana-638	35	18	,	,	PUNCT
cana-638	35	19	and	and	CCONJ
cana-638	35	20	parts	part	NOUN
cana-638	35	21	of	of	ADP
cana-638	35	22	speech	speech	NOUN
cana-638	35	23	)	)	PUNCT
cana-638	35	24	.	.	PUNCT
cana-638	36	1	the	the	DET
cana-638	36	2	next	next	ADJ
cana-638	36	3	step	step	NOUN
cana-638	36	4	is	be	AUX
cana-638	36	5	to	to	PART
cana-638	36	6	identify	identify	VERB
cana-638	36	7	the	the	DET
cana-638	36	8	sentiments	sentiment	NOUN
cana-638	36	9	present	present	ADJ
cana-638	36	10	in	in	ADP
cana-638	36	11	each	each	DET
cana-638	36	12	component	component	NOUN
cana-638	36	13	.	.	PUNCT
cana-638	37	1	after	after	ADP
cana-638	37	2	that	that	PRON
cana-638	37	3	,	,	PUNCT
cana-638	37	4	the	the	DET
cana-638	37	5	sentiment	sentiment	NOUN
cana-638	37	6	score	score	NOUN
cana-638	37	7	is	be	AUX
cana-638	37	8	assigned	assign	VERB
cana-638	37	9	to	to	ADP
cana-638	37	10	each	each	DET
cana-638	37	11	component	component	NOUN
cana-638	37	12	,	,	PUNCT
cana-638	37	13	and	and	CCONJ
cana-638	37	14	these	these	DET
cana-638	37	15	scores	score	NOUN
cana-638	37	16	are	be	AUX
cana-638	37	17	integrated	integrate	VERB
cana-638	37	18	with	with	ADP
cana-638	37	19	conducting	conduct	VERB
cana-638	37	20	a	a	DET
cana-638	37	21	multi	multi	ADJ
cana-638	37	22	-	-	ADJ
cana-638	37	23	layered	layered	ADJ
cana-638	37	24	sentimental	sentimental	ADJ
cana-638	37	25	analysis	analysis	NOUN
cana-638	37	26	[	[	X
cana-638	37	27	8	8	NUM
cana-638	37	28	]	]	PUNCT
cana-638	37	29	.	.	PUNCT
cana-638	38	1	sentiment	sentiment	NOUN
cana-638	38	2	or	or	CCONJ
cana-638	38	3	opinion	opinion	NOUN
cana-638	38	4	analysis	analysis	NOUN
cana-638	38	5	(	(	PUNCT
cana-638	38	6	sa	sa	NOUN
cana-638	38	7	)	)	PUNCT
cana-638	38	8	is	be	AUX
cana-638	38	9	one	one	NUM
cana-638	38	10	of	of	ADP
cana-638	38	11	the	the	DET
cana-638	38	12	ongoing	ongoing	ADJ
cana-638	38	13	trending	trend	VERB
cana-638	38	14	topics	topic	NOUN
cana-638	38	15	in	in	ADP
cana-638	38	16	nlp	nlp	NOUN
cana-638	38	17	considering	consider	VERB
cana-638	38	18	the	the	DET
cana-638	38	19	fact	fact	NOUN
cana-638	38	20	that	that	SCONJ
cana-638	38	21	before	before	ADP
cana-638	38	22	2000	2000	NUM
cana-638	38	23	.	.	PUNCT
cana-638	39	1	goal	goal	NOUN
cana-638	39	2	of	of	ADP
cana-638	39	3	opinion	opinion	NOUN
cana-638	39	4	extraction	extraction	NOUN
cana-638	39	5	is	be	AUX
cana-638	39	6	to	to	PART
cana-638	39	7	specify	specify	VERB
cana-638	39	8	automatic	automatic	ADJ
cana-638	39	9	system	system	NOUN
cana-638	39	10	possible	possible	ADJ
cana-638	39	11	to	to	PART
cana-638	39	12	pull	pull	VERB
cana-638	39	13	out	out	ADP
cana-638	39	14	the	the	DET
cana-638	39	15	subjective	subjective	ADJ
cana-638	39	16	statistics	statistic	NOUN
cana-638	39	17	from	from	ADP
cana-638	39	18	the	the	DET
cana-638	39	19	text	text	NOUN
cana-638	39	20	,	,	PUNCT
cana-638	39	21	including	include	VERB
cana-638	39	22	evaluations	evaluation	NOUN
cana-638	39	23	,	,	PUNCT
cana-638	39	24	sentiments	sentiment	NOUN
cana-638	39	25	,	,	PUNCT
cana-638	39	26	that	that	PRON
cana-638	39	27	allows	allow	VERB
cana-638	39	28	you	you	PRON
cana-638	39	29	to	to	PART
cana-638	39	30	make	make	VERB
cana-638	39	31	primarily	primarily	ADV
cana-638	39	32	based	base	VERB
cana-638	39	33	and	and	CCONJ
cana-638	39	34	knowledge	knowledge	NOUN
cana-638	39	35	utilized	utilize	VERB
cana-638	39	36	in	in	ADP
cana-638	39	37	decision	decision	NOUN
cana-638	39	38	guide	guide	NOUN
cana-638	39	39	system	system	NOUN
cana-638	39	40	[	[	X
cana-638	39	41	9	9	NUM
cana-638	39	42	]	]	PUNCT
cana-638	39	43	.	.	PUNCT
cana-638	40	1	sentiment	sentiment	NOUN
cana-638	40	2	analysis	analysis	NOUN
cana-638	40	3	(	(	PUNCT
cana-638	40	4	sa	sa	NOUN
cana-638	40	5	)	)	PUNCT
cana-638	40	6	is	be	AUX
cana-638	40	7	a	a	DET
cana-638	40	8	computational	computational	ADJ
cana-638	40	9	manner	manner	NOUN
cana-638	40	10	to	to	PART
cana-638	40	11	extract	extract	VERB
cana-638	40	12	opinion	opinion	NOUN
cana-638	40	13	as	as	ADP
cana-638	40	14	powerful	powerful	ADJ
cana-638	40	15	or	or	CCONJ
cana-638	40	16	bad	bad	ADJ
cana-638	40	17	from	from	ADP
cana-638	40	18	text	text	NOUN
cana-638	40	19	approximately	approximately	ADV
cana-638	40	20	an	an	DET
cana-638	40	21	entity	entity	NOUN
cana-638	40	22	.	.	PUNCT
cana-638	41	1	unsurprisingly	unsurprisingly	ADV
cana-638	41	2	,	,	PUNCT
cana-638	41	3	there	there	PRON
cana-638	41	4	was	be	VERB
cana-638	41	5	some	some	DET
cana-638	41	6	dilemma	dilemma	NOUN
cana-638	41	7	between	between	ADP
cana-638	41	8	the	the	DET
cana-638	41	9	researchers	researcher	NOUN
cana-638	41	10	about	about	ADP
cana-638	41	11	the	the	DET
cana-638	41	12	distinction	distinction	NOUN
cana-638	41	13	among	among	ADP
cana-638	41	14	sentiment	sentiment	NOUN
cana-638	41	15	as	as	ADV
cana-638	41	16	well	well	ADV
cana-638	41	17	as	as	ADP
cana-638	41	18	opinion	opinion	NOUN
cana-638	41	19	,	,	PUNCT
cana-638	41	20	therefore	therefore	ADV
cana-638	41	21	there	there	PRON
cana-638	41	22	is	be	VERB
cana-638	41	23	an	an	DET
cana-638	41	24	argument	argument	NOUN
cana-638	41	25	whether	whether	SCONJ
cana-638	41	26	it	it	PRON
cana-638	41	27	sphere	sphere	ADV
cana-638	41	28	need	need	VERB
cana-638	41	29	to	to	PART
cana-638	41	30	be	be	AUX
cana-638	41	31	referred	refer	VERB
cana-638	41	32	to	to	ADP
cana-638	41	33	as	as	ADP
cana-638	41	34	sentiment	sentiment	NOUN
cana-638	41	35	assessment	assessment	NOUN
cana-638	41	36	or	or	CCONJ
cana-638	41	37	opinion	opinion	NOUN
cana-638	41	38	assessment	assessment	NOUN
cana-638	41	39	[	[	X
cana-638	41	40	10	10	NUM
cana-638	41	41	]	]	PUNCT
cana-638	41	42	.	.	PUNCT
cana-638	42	1	this	this	DET
cana-638	42	2	research	research	NOUN
cana-638	42	3	presents	present	VERB
cana-638	42	4	a	a	DET
cana-638	42	5	novel	novel	ADJ
cana-638	42	6	approach	approach	NOUN
cana-638	42	7	for	for	ADP
cana-638	42	8	sentiment	sentiment	NOUN
cana-638	42	9	analysis	analysis	NOUN
cana-638	42	10	leveraging	leverage	VERB
cana-638	42	11	a	a	DET
cana-638	42	12	hybrid	hybrid	ADJ
cana-638	42	13	framework	framework	NOUN
cana-638	42	14	combining	combine	VERB
cana-638	42	15	harris	harris	PROPN
cana-638	42	16	hawk	hawk	PROPN
cana-638	42	17	optimization	optimization	NOUN
cana-638	42	18	(	(	PUNCT
cana-638	42	19	hho	hho	NOUN
cana-638	42	20	)	)	PUNCT
cana-638	42	21	with	with	ADP
cana-638	42	22	a	a	DET
cana-638	42	23	recurrent	recurrent	ADJ
cana-638	42	24	fuzzy	fuzzy	ADJ
cana-638	42	25	neural	neural	ADJ
cana-638	42	26	network	network	NOUN
cana-638	42	27	(	(	PUNCT
cana-638	42	28	frnn	frnn	PROPN
cana-638	42	29	)	)	PUNCT
cana-638	42	30	.	.	PUNCT
cana-638	43	1	sentiment	sentiment	NOUN
cana-638	43	2	analysis	analysis	NOUN
cana-638	43	3	is	be	AUX
cana-638	43	4	critical	critical	ADJ
cana-638	43	5	in	in	ADP
cana-638	43	6	deciphering	decipher	VERB
cana-638	43	7	subjective	subjective	ADJ
cana-638	43	8	information	information	NOUN
cana-638	43	9	from	from	ADP
cana-638	43	10	text	text	NOUN
cana-638	43	11	data	datum	NOUN
cana-638	43	12	,	,	PUNCT
cana-638	43	13	yet	yet	CCONJ
cana-638	43	14	conventional	conventional	ADJ
cana-638	43	15	methods	method	NOUN
cana-638	43	16	often	often	ADV
cana-638	43	17	struggle	struggle	VERB
cana-638	43	18	with	with	ADP
cana-638	43	19	the	the	DET
cana-638	43	20	inherent	inherent	ADJ
cana-638	43	21	complexities	complexity	NOUN
cana-638	43	22	of	of	ADP
cana-638	43	23	natural	natural	ADJ
cana-638	43	24	language	language	NOUN
cana-638	43	25	.	.	PUNCT
cana-638	44	1	by	by	ADP
cana-638	44	2	integrating	integrate	VERB
cana-638	44	3	the	the	DET
cana-638	44	4	adaptability	adaptability	NOUN
cana-638	44	5	of	of	ADP
cana-638	44	6	hho	hho	NOUN
cana-638	44	7	with	with	ADP
cana-638	44	8	the	the	DET
cana-638	44	9	temporal	temporal	ADJ
cana-638	44	10	modeling	modeling	NOUN
cana-638	44	11	capabilities	capability	NOUN
cana-638	44	12	of	of	ADP
cana-638	44	13	frnn	frnn	NOUN
cana-638	44	14	,	,	PUNCT
cana-638	44	15	our	our	PRON
cana-638	44	16	methodology	methodology	NOUN
cana-638	44	17	adeptly	adeptly	ADV
cana-638	44	18	addresses	address	VERB
cana-638	44	19	these	these	DET
cana-638	44	20	challenges	challenge	NOUN
cana-638	44	21	.	.	PUNCT
cana-638	45	1	through	through	ADP
cana-638	45	2	recurrent	recurrent	ADJ
cana-638	45	3	connections	connection	NOUN
cana-638	45	4	,	,	PUNCT
cana-638	45	5	the	the	DET
cana-638	45	6	frnn	frnn	NOUN
cana-638	45	7	effectively	effectively	ADV
cana-638	45	8	captures	capture	VERB
cana-638	45	9	temporal	temporal	ADJ
cana-638	45	10	dependencies	dependency	NOUN
cana-638	45	11	in	in	ADP
cana-638	45	12	sequential	sequential	ADJ
cana-638	45	13	data	datum	NOUN
cana-638	45	14	,	,	PUNCT
cana-638	45	15	making	make	VERB
cana-638	45	16	it	it	PRON
cana-638	45	17	well	well	ADV
cana-638	45	18	-	-	PUNCT
cana-638	45	19	suited	suit	VERB
cana-638	45	20	for	for	ADP
cana-638	45	21	sentiment	sentiment	NOUN
cana-638	45	22	analysis	analysis	NOUN
cana-638	45	23	tasks	task	NOUN
cana-638	45	24	.	.	PUNCT
cana-638	46	1	additionally	additionally	ADV
cana-638	46	2	,	,	PUNCT
cana-638	46	3	the	the	DET
cana-638	46	4	incorporation	incorporation	NOUN
cana-638	46	5	of	of	ADP
cana-638	46	6	fuzzy	fuzzy	ADJ
cana-638	46	7	logic	logic	NOUN
cana-638	46	8	enables	enable	VERB
cana-638	46	9	the	the	DET
cana-638	46	10	frnn	frnn	NOUN
cana-638	46	11	to	to	PART
cana-638	46	12	handle	handle	VERB
cana-638	46	13	linguistic	linguistic	ADJ
cana-638	46	14	uncertainty	uncertainty	NOUN
cana-638	46	15	inherent	inherent	ADJ
cana-638	46	16	in	in	ADP
cana-638	46	17	natural	natural	ADJ
cana-638	46	18	language	language	NOUN
cana-638	46	19	expressions	expression	NOUN
cana-638	46	20	,	,	PUNCT
cana-638	46	21	enhancing	enhance	VERB
cana-638	46	22	model	model	NOUN
cana-638	46	23	robustness	robustness	NOUN
cana-638	46	24	and	and	CCONJ
cana-638	46	25	interpretability	interpretability	NOUN
cana-638	46	26	.	.	PUNCT
cana-638	47	1	experimental	experimental	ADJ
cana-638	47	2	evaluations	evaluation	NOUN
cana-638	47	3	on	on	ADP
cana-638	47	4	standard	standard	ADJ
cana-638	47	5	sentiment	sentiment	NOUN
cana-638	47	6	analysis	analysis	NOUN
cana-638	47	7	datasets	dataset	NOUN
cana-638	47	8	demonstrate	demonstrate	VERB
cana-638	47	9	significant	significant	ADJ
cana-638	47	10	performance	performance	NOUN
cana-638	47	11	gains	gain	NOUN
cana-638	47	12	over	over	ADP
cana-638	47	13	state	state	NOUN
cana-638	47	14	-	-	PUNCT
cana-638	47	15	of	of	ADP
cana-638	47	16	-	-	PUNCT
cana-638	47	17	the	the	DET
cana-638	47	18	-	-	PUNCT
cana-638	47	19	art	art	NOUN
cana-638	47	20	techniques	technique	NOUN
cana-638	47	21	in	in	ADP
cana-638	47	22	terms	term	NOUN
cana-638	47	23	of	of	ADP
cana-638	47	24	accuracy	accuracy	NOUN
cana-638	47	25	,	,	PUNCT
cana-638	47	26	precision	precision	NOUN
cana-638	47	27	,	,	PUNCT
cana-638	47	28	recall	recall	NOUN
cana-638	47	29	,	,	PUNCT
cana-638	47	30	and	and	CCONJ
cana-638	47	31	f1	f1	ADJ
cana-638	47	32	-	-	PUNCT
cana-638	47	33	score	score	NOUN
cana-638	47	34	metrics	metric	NOUN
cana-638	47	35	.	.	PUNCT
cana-638	48	1	moreover	moreover	ADV
cana-638	48	2	,	,	PUNCT
cana-638	48	3	the	the	DET
cana-638	48	4	interpretability	interpretability	NOUN
cana-638	48	5	facilitated	facilitate	VERB
cana-638	48	6	by	by	ADP
cana-638	48	7	fuzzy	fuzzy	ADJ
cana-638	48	8	logic	logic	NOUN
cana-638	48	9	enhances	enhance	VERB
cana-638	48	10	transparency	transparency	NOUN
cana-638	48	11	,	,	PUNCT
cana-638	48	12	providing	provide	VERB
cana-638	48	13	deeper	deep	ADJ
cana-638	48	14	insights	insight	NOUN
cana-638	48	15	into	into	ADP
cana-638	48	16	sentiment	sentiment	NOUN
cana-638	48	17	patterns	pattern	NOUN
cana-638	48	18	within	within	ADP
cana-638	48	19	textual	textual	ADJ
cana-638	48	20	data	datum	NOUN
cana-638	48	21	.	.	PUNCT
cana-638	49	1	this	this	DET
cana-638	49	2	research	research	NOUN
cana-638	49	3	underscores	underscore	VERB
cana-638	49	4	the	the	DET
cana-638	49	5	potential	potential	NOUN
cana-638	49	6	of	of	ADP
cana-638	49	7	the	the	DET
cana-638	49	8	proposed	propose	VERB
cana-638	49	9	hho	hho	NOUN
cana-638	49	10	-	-	PUNCT
cana-638	49	11	based	base	VERB
cana-638	49	12	frnn	frnn	NOUN
cana-638	49	13	framework	framework	NOUN
cana-638	49	14	to	to	PART
cana-638	49	15	advance	advance	VERB
cana-638	49	16	sentiment	sentiment	NOUN
cana-638	49	17	analysis	analysis	NOUN
cana-638	49	18	capabilities	capability	NOUN
cana-638	49	19	,	,	PUNCT
cana-638	49	20	offering	offer	VERB
cana-638	49	21	a	a	DET
cana-638	49	22	promising	promising	ADJ
cana-638	49	23	avenue	avenue	NOUN
cana-638	49	24	for	for	ADP
cana-638	49	25	future	future	ADJ
cana-638	49	26	research	research	NOUN
cana-638	49	27	in	in	ADP
cana-638	49	28	natural	natural	ADJ
cana-638	49	29	language	language	NOUN
cana-638	49	30	processing	processing	NOUN
cana-638	49	31	and	and	CCONJ
cana-638	49	32	computational	computational	ADJ
cana-638	49	33	intelligence	intelligence	NOUN
cana-638	49	34	.	.	PUNCT
cana-638	50	1	communications	communication	NOUN
cana-638	50	2	on	on	ADP
cana-638	50	3	applied	apply	VERB
cana-638	50	4	nonlinear	nonlinear	ADJ
cana-638	50	5	analysis	analysis	NOUN
cana-638	50	6	issn	issn	NOUN
cana-638	50	7	:	:	PUNCT
cana-638	50	8	1074	1074	NUM
cana-638	50	9	-	-	PUNCT
cana-638	50	10	133x	133x	NUM
cana-638	50	11	vol	vol	NOUN
cana-638	50	12	31	31	NUM
cana-638	50	13	no	no	NOUN
cana-638	50	14	.	.	PUNCT
cana-638	51	1	2s	2s	NUM
cana-638	51	2	(	(	PUNCT
cana-638	51	3	2024	2024	NUM
cana-638	51	4	)	)	PUNCT
cana-638	51	5	236	236	NUM
cana-638	51	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	51	7	2	2	NUM
cana-638	51	8	.	.	X
cana-638	51	9	related	relate	VERB
cana-638	51	10	works	work	VERB
cana-638	51	11	the	the	DET
cana-638	51	12	main	main	ADJ
cana-638	51	13	aim	aim	NOUN
cana-638	51	14	of	of	ADP
cana-638	51	15	the	the	DET
cana-638	51	16	support	support	NOUN
cana-638	51	17	vector	vector	NOUN
cana-638	51	18	machine	machine	NOUN
cana-638	51	19	(	(	PUNCT
cana-638	51	20	svm	svm	PROPN
cana-638	51	21	)	)	PUNCT
cana-638	51	22	is	be	AUX
cana-638	51	23	to	to	PART
cana-638	51	24	train	train	VERB
cana-638	51	25	the	the	DET
cana-638	51	26	decision	decision	NOUN
cana-638	51	27	function	function	NOUN
cana-638	51	28	to	to	PART
cana-638	51	29	accurately	accurately	ADV
cana-638	51	30	classify	classify	VERB
cana-638	51	31	the	the	DET
cana-638	51	32	new	new	ADJ
cana-638	51	33	data	data	NOUN
cana-638	51	34	instances	instance	NOUN
cana-638	51	35	present	present	ADJ
cana-638	51	36	in	in	ADP
cana-638	51	37	the	the	DET
cana-638	51	38	input	input	NOUN
cana-638	51	39	labeled	label	VERB
cana-638	51	40	dataset	dataset	NOUN
cana-638	51	41	.	.	PUNCT
cana-638	52	1	wen	wen	PROPN
cana-638	52	2	long	long	ADV
cana-638	52	3	et	et	PROPN
cana-638	52	4	al	al	PROPN
cana-638	52	5	.	.	PUNCT
cana-638	53	1	(	(	PUNCT
cana-638	53	2	2018	2018	NUM
cana-638	53	3	)	)	PUNCT
cana-638	54	1	[	[	X
cana-638	54	2	11	11	NUM
cana-638	54	3	]	]	PUNCT
cana-638	54	4	presented	present	VERB
cana-638	54	5	anuniversum	anuniversum	NOUN
cana-638	54	6	svm	svm	PROPN
cana-638	54	7	to	to	PART
cana-638	54	8	use	use	VERB
cana-638	54	9	neutral	neutral	ADJ
cana-638	54	10	samples(universum	samples(universum	PROPN
cana-638	54	11	)	)	PUNCT
cana-638	54	12	to	to	PART
cana-638	54	13	analyze	analyze	VERB
cana-638	54	14	the	the	DET
cana-638	54	15	investor	investor	NOUN
cana-638	54	16	sentiments	sentiment	NOUN
cana-638	54	17	.	.	PUNCT
cana-638	55	1	the	the	DET
cana-638	55	2	universum	universum	PROPN
cana-638	55	3	is	be	AUX
cana-638	55	4	the	the	DET
cana-638	55	5	samples	sample	NOUN
cana-638	55	6	that	that	PRON
cana-638	55	7	do	do	AUX
cana-638	55	8	n’t	not	PART
cana-638	55	9	belong	belong	VERB
cana-638	55	10	to	to	ADP
cana-638	55	11	the	the	DET
cana-638	55	12	positive	positive	ADJ
cana-638	55	13	or	or	CCONJ
cana-638	55	14	negative	negative	ADJ
cana-638	55	15	classes	class	NOUN
cana-638	55	16	and	and	CCONJ
cana-638	55	17	stand	stand	VERB
cana-638	55	18	as	as	ADV
cana-638	55	19	neutral	neutral	ADJ
cana-638	55	20	.	.	PUNCT
cana-638	56	1	the	the	DET
cana-638	56	2	universum	universum	PROPN
cana-638	56	3	comprises	comprise	VERB
cana-638	56	4	prior	prior	ADJ
cana-638	56	5	knowledge	knowledge	NOUN
cana-638	56	6	for	for	ADP
cana-638	56	7	classification	classification	NOUN
cana-638	56	8	,	,	PUNCT
cana-638	56	9	and	and	CCONJ
cana-638	56	10	the	the	DET
cana-638	56	11	additional	additional	ADJ
cana-638	56	12	information	information	NOUN
cana-638	56	13	obtained	obtain	VERB
cana-638	56	14	can	can	AUX
cana-638	56	15	be	be	AUX
cana-638	56	16	used	use	VERB
cana-638	56	17	to	to	PART
cana-638	56	18	retrieve	retrieve	VERB
cana-638	56	19	better	well	ADJ
cana-638	56	20	results	result	NOUN
cana-638	56	21	.	.	PUNCT
cana-638	57	1	using	use	VERB
cana-638	57	2	the	the	DET
cana-638	57	3	universum	universum	PROPN
cana-638	57	4	samples	sample	NOUN
cana-638	57	5	,	,	PUNCT
cana-638	57	6	designed	design	VERB
cana-638	57	7	a	a	DET
cana-638	57	8	two	two	NUM
cana-638	57	9	-	-	PUNCT
cana-638	57	10	class	class	NOUN
cana-638	57	11	(	(	PUNCT
cana-638	57	12	positive	positive	ADJ
cana-638	57	13	and	and	CCONJ
cana-638	57	14	negative	negative	ADJ
cana-638	57	15	)	)	PUNCT
cana-638	57	16	and	and	CCONJ
cana-638	57	17	three	three	NUM
cana-638	57	18	-	-	PUNCT
cana-638	57	19	class	class	NOUN
cana-638	57	20	problem	problem	NOUN
cana-638	57	21	(	(	PUNCT
cana-638	57	22	positive	positive	ADJ
cana-638	57	23	,	,	PUNCT
cana-638	57	24	negative	negative	ADJ
cana-638	57	25	,	,	PUNCT
cana-638	57	26	and	and	CCONJ
cana-638	57	27	neutral	neutral	ADJ
cana-638	57	28	)	)	PUNCT
cana-638	57	29	.	.	PUNCT
cana-638	58	1	the	the	DET
cana-638	58	2	dataset	dataset	NOUN
cana-638	58	3	of	of	ADP
cana-638	58	4	this	this	DET
cana-638	58	5	paper	paper	NOUN
cana-638	58	6	was	be	AUX
cana-638	58	7	obtained	obtain	VERB
cana-638	58	8	from	from	ADP
cana-638	58	9	the	the	DET
cana-638	58	10	east	east	PROPN
cana-638	58	11	money	money	PROPN
cana-638	58	12	stock	stock	PROPN
cana-638	58	13	forum	forum	PROPN
cana-638	58	14	china	china	PROPN
cana-638	58	15	,	,	PUNCT
cana-638	58	16	which	which	PRON
cana-638	58	17	comprises	comprise	VERB
cana-638	58	18	the	the	DET
cana-638	58	19	individual	individual	ADJ
cana-638	58	20	investor	investor	NOUN
cana-638	58	21	sentiment	sentiment	NOUN
cana-638	58	22	review	review	NOUN
cana-638	58	23	.	.	PUNCT
cana-638	59	1	the	the	DET
cana-638	59	2	positive	positive	ADJ
cana-638	59	3	and	and	CCONJ
cana-638	59	4	negative	negative	ADJ
cana-638	59	5	samples	sample	NOUN
cana-638	59	6	are	be	AUX
cana-638	59	7	represented	represent	VERB
cana-638	59	8	as	as	ADP
cana-638	59	9	the	the	DET
cana-638	59	10	bullish	bullish	ADJ
cana-638	59	11	and	and	CCONJ
cana-638	59	12	bearish	bearish	ADJ
cana-638	59	13	samples	sample	NOUN
cana-638	59	14	in	in	ADP
cana-638	59	15	this	this	DET
cana-638	59	16	work	work	NOUN
cana-638	59	17	.	.	PUNCT
cana-638	60	1	the	the	DET
cana-638	60	2	dataset	dataset	NOUN
cana-638	60	3	consists	consist	VERB
cana-638	60	4	of	of	ADP
cana-638	60	5	1010	1010	NUM
cana-638	60	6	bullish	bullish	ADJ
cana-638	60	7	samples	sample	NOUN
cana-638	60	8	,	,	PUNCT
cana-638	60	9	1212	1212	NUM
cana-638	60	10	bearish	bearish	ADJ
cana-638	60	11	samples	sample	NOUN
cana-638	60	12	,	,	PUNCT
cana-638	60	13	and	and	CCONJ
cana-638	60	14	3768	3768	NUM
cana-638	60	15	neutral	neutral	ADJ
cana-638	60	16	samples	sample	NOUN
cana-638	60	17	.	.	PUNCT
cana-638	61	1	however	however	ADV
cana-638	61	2	,	,	PUNCT
cana-638	61	3	the	the	DET
cana-638	61	4	dataset	dataset	NOUN
cana-638	61	5	used	use	VERB
cana-638	61	6	in	in	ADP
cana-638	61	7	their	their	PRON
cana-638	61	8	proposed	propose	VERB
cana-638	61	9	methodology	methodology	NOUN
cana-638	61	10	is	be	AUX
cana-638	61	11	less	less	ADV
cana-638	61	12	abundant	abundant	ADJ
cana-638	61	13	due	due	ADP
cana-638	61	14	to	to	ADP
cana-638	61	15	the	the	DET
cana-638	61	16	limited	limited	ADJ
cana-638	61	17	resource	resource	NOUN
cana-638	61	18	constraints	constraint	NOUN
cana-638	61	19	,	,	PUNCT
cana-638	61	20	and	and	CCONJ
cana-638	61	21	the	the	DET
cana-638	61	22	3	3	NUM
cana-638	61	23	class	class	NOUN
cana-638	61	24	classification	classification	NOUN
cana-638	61	25	is	be	AUX
cana-638	61	26	still	still	ADV
cana-638	61	27	in	in	ADP
cana-638	61	28	its	its	PRON
cana-638	61	29	empirical	empirical	ADJ
cana-638	61	30	form	form	NOUN
cana-638	61	31	.	.	PUNCT
cana-638	62	1	the	the	DET
cana-638	62	2	main	main	ADJ
cana-638	62	3	aim	aim	NOUN
cana-638	62	4	of	of	ADP
cana-638	62	5	the	the	DET
cana-638	62	6	document	document	NOUN
cana-638	62	7	level	level	NOUN
cana-638	62	8	classification	classification	NOUN
cana-638	62	9	is	be	AUX
cana-638	62	10	to	to	PART
cana-638	62	11	predict	predict	VERB
cana-638	62	12	the	the	DET
cana-638	62	13	overall	overall	ADJ
cana-638	62	14	user	user	NOUN
cana-638	62	15	sentiments	sentiment	NOUN
cana-638	62	16	in	in	ADP
cana-638	62	17	a	a	DET
cana-638	62	18	single	single	ADJ
cana-638	62	19	document	document	NOUN
cana-638	62	20	.	.	PUNCT
cana-638	63	1	a	a	DET
cana-638	63	2	document	document	NOUN
cana-638	63	3	usually	usually	ADV
cana-638	63	4	comprises	comprise	VERB
cana-638	63	5	different	different	ADJ
cana-638	63	6	opinions	opinion	NOUN
cana-638	63	7	and	and	CCONJ
cana-638	63	8	sentiments	sentiment	NOUN
cana-638	63	9	for	for	ADP
cana-638	63	10	a	a	DET
cana-638	63	11	particular	particular	ADJ
cana-638	63	12	aspect	aspect	NOUN
cana-638	63	13	.	.	PUNCT
cana-638	64	1	the	the	DET
cana-638	64	2	overall	overall	ADJ
cana-638	64	3	sentiment	sentiment	NOUN
cana-638	64	4	present	present	ADJ
cana-638	64	5	in	in	ADP
cana-638	64	6	the	the	DET
cana-638	64	7	document	document	NOUN
cana-638	64	8	is	be	AUX
cana-638	64	9	important	important	ADJ
cana-638	64	10	in	in	ADP
cana-638	64	11	predicting	predict	VERB
cana-638	64	12	sentiments	sentiment	NOUN
cana-638	64	13	at	at	ADP
cana-638	64	14	the	the	DET
cana-638	64	15	document	document	NOUN
cana-638	64	16	level	level	NOUN
cana-638	64	17	.	.	PUNCT
cana-638	65	1	since	since	SCONJ
cana-638	65	2	the	the	DET
cana-638	65	3	state	state	NOUN
cana-638	65	4	-	-	PUNCT
cana-638	65	5	of	of	ADP
cana-638	65	6	-	-	PUNCT
cana-638	65	7	art	art	NOUN
cana-638	65	8	techniques	technique	NOUN
cana-638	65	9	treat	treat	VERB
cana-638	65	10	every	every	DET
cana-638	65	11	sentiment	sentiment	NOUN
cana-638	65	12	present	present	ADJ
cana-638	65	13	in	in	ADP
cana-638	65	14	the	the	DET
cana-638	65	15	document	document	NOUN
cana-638	65	16	equally	equally	ADV
cana-638	65	17	,	,	PUNCT
cana-638	65	18	it	it	PRON
cana-638	65	19	is	be	AUX
cana-638	65	20	necessary	necessary	ADJ
cana-638	65	21	to	to	PART
cana-638	65	22	consider	consider	VERB
cana-638	65	23	the	the	DET
cana-638	65	24	overall	overall	ADJ
cana-638	65	25	sentiments	sentiment	NOUN
cana-638	65	26	of	of	ADP
cana-638	65	27	different	different	ADJ
cana-638	65	28	aspects	aspect	NOUN
cana-638	65	29	.	.	PUNCT
cana-638	66	1	to	to	PART
cana-638	66	2	overcome	overcome	VERB
cana-638	66	3	this	this	DET
cana-638	66	4	problem	problem	NOUN
cana-638	66	5	,	,	PUNCT
cana-638	66	6	xiaojia	xiaojia	PROPN
cana-638	66	7	pu	pu	PROPN
cana-638	66	8	et	et	PROPN
cana-638	66	9	al	al	PROPN
cana-638	66	10	.	.	PROPN
cana-638	67	1	(	(	PUNCT
cana-638	67	2	2019	2019	NUM
cana-638	67	3	)	)	PUNCT
cana-638	67	4	proposed	propose	VERB
cana-638	67	5	a	a	DET
cana-638	67	6	structural	structural	ADJ
cana-638	67	7	svm	svm	ADJ
cana-638	67	8	technique	technique	NOUN
cana-638	67	9	to	to	PART
cana-638	67	10	efficiently	efficiently	ADV
cana-638	67	11	identify	identify	VERB
cana-638	67	12	the	the	DET
cana-638	67	13	overall	overall	ADJ
cana-638	67	14	opinion	opinion	NOUN
cana-638	67	15	sentence	sentence	NOUN
cana-638	67	16	present	present	ADJ
cana-638	67	17	in	in	ADP
cana-638	67	18	the	the	DET
cana-638	67	19	text	text	NOUN
cana-638	67	20	document	document	NOUN
cana-638	67	21	.	.	PUNCT
cana-638	68	1	the	the	DET
cana-638	68	2	appropriate	appropriate	ADJ
cana-638	68	3	overall	overall	ADJ
cana-638	68	4	opinion	opinion	NOUN
cana-638	68	5	sentences	sentence	NOUN
cana-638	68	6	are	be	AUX
cana-638	68	7	identified	identify	VERB
cana-638	68	8	by	by	ADP
cana-638	68	9	integrating	integrate	VERB
cana-638	68	10	multiple	multiple	ADJ
cana-638	68	11	features	feature	NOUN
cana-638	68	12	.	.	PUNCT
cana-638	69	1	the	the	DET
cana-638	69	2	overall	overall	ADJ
cana-638	69	3	opinion	opinion	NOUN
cana-638	69	4	sentences	sentence	NOUN
cana-638	69	5	are	be	AUX
cana-638	69	6	considered	consider	VERB
cana-638	69	7	as	as	ADP
cana-638	69	8	the	the	DET
cana-638	69	9	hidden	hidden	ADJ
cana-638	69	10	variables	variable	NOUN
cana-638	69	11	of	of	ADP
cana-638	69	12	the	the	DET
cana-638	69	13	structural	structural	ADJ
cana-638	69	14	svm	svm	NOUN
cana-638	69	15	.	.	PUNCT
cana-638	70	1	the	the	DET
cana-638	70	2	methods	method	NOUN
cana-638	70	3	are	be	AUX
cana-638	70	4	evaluated	evaluate	VERB
cana-638	70	5	in	in	ADP
cana-638	70	6	five	five	NUM
cana-638	70	7	different	different	ADJ
cana-638	70	8	real	real	ADJ
cana-638	70	9	-	-	PUNCT
cana-638	70	10	time	time	NOUN
cana-638	70	11	datasets	dataset	NOUN
cana-638	70	12	such	such	ADJ
cana-638	70	13	as	as	ADP
cana-638	70	14	oscar	oscar	NOUN
cana-638	70	15	data	datum	NOUN
cana-638	70	16	,	,	PUNCT
cana-638	70	17	mcauley	mcauley	PROPN
cana-638	70	18	data	data	PROPN
cana-638	70	19	,	,	PUNCT
cana-638	70	20	lui	lui	NOUN
cana-638	70	21	data	datum	NOUN
cana-638	70	22	,	,	PUNCT
cana-638	70	23	imdb(s	imdb(	NOUN
cana-638	70	24	)	)	PUNCT
cana-638	70	25	,	,	PUNCT
cana-638	70	26	and	and	CCONJ
cana-638	70	27	imdb	imdb	PROPN
cana-638	70	28	(	(	PUNCT
cana-638	70	29	l	l	NOUN
cana-638	70	30	)	)	PUNCT
cana-638	70	31	data	datum	NOUN
cana-638	70	32	.	.	PUNCT
cana-638	71	1	the	the	DET
cana-638	71	2	proposed	propose	VERB
cana-638	71	3	model	model	NOUN
cana-638	71	4	offers	offer	VERB
cana-638	71	5	an	an	DET
cana-638	71	6	accuracy	accuracy	NOUN
cana-638	71	7	of	of	ADP
cana-638	71	8	0.765	0.765	NUM
cana-638	71	9	,	,	PUNCT
cana-638	71	10	0.896	0.896	NUM
cana-638	71	11	,	,	PUNCT
cana-638	71	12	0.932	0.932	NUM
cana-638	71	13	,	,	PUNCT
cana-638	71	14	0.8830	0.8830	NUM
cana-638	71	15	,	,	PUNCT
cana-638	71	16	and	and	CCONJ
cana-638	71	17	0.9011	0.9011	NUM
cana-638	71	18	for	for	ADP
cana-638	71	19	the	the	DET
cana-638	71	20	oscar	oscar	PROPN
cana-638	71	21	data	datum	NOUN
cana-638	71	22	,	,	PUNCT
cana-638	71	23	lui	lui	NOUN
cana-638	71	24	data	data	PROPN
cana-638	71	25	,	,	PUNCT
cana-638	71	26	mcauley	mcauley	PROPN
cana-638	71	27	data	data	PROPN
cana-638	71	28	,	,	PUNCT
cana-638	71	29	(	(	PUNCT
cana-638	71	30	s	s	NOUN
cana-638	71	31	)	)	PUNCT
cana-638	71	32	,	,	PUNCT
cana-638	71	33	and	and	CCONJ
cana-638	71	34	imdb	imdb	PROPN
cana-638	71	35	(	(	PUNCT
cana-638	71	36	l	l	NOUN
cana-638	71	37	)	)	PUNCT
cana-638	71	38	datasets	dataset	NOUN
cana-638	71	39	[	[	X
cana-638	71	40	12	12	NUM
cana-638	71	41	]	]	PUNCT
cana-638	71	42	.	.	PUNCT
cana-638	72	1	mohammad	mohammad	PROPN
cana-638	72	2	al	al	PROPN
cana-638	72	3	-	-	PUNCT
cana-638	72	4	smadi	smadi	NOUN
cana-638	72	5	et	et	PROPN
cana-638	72	6	al	al	PROPN
cana-638	72	7	.	.	PROPN
cana-638	73	1	(	(	PUNCT
cana-638	73	2	2018	2018	NUM
cana-638	73	3	)	)	PUNCT
cana-638	73	4	conducted	conduct	VERB
cana-638	73	5	an	an	DET
cana-638	73	6	aspect	aspect	NOUN
cana-638	73	7	based	base	VERB
cana-638	73	8	sentimental	sentimental	ADJ
cana-638	73	9	analysis	analysis	NOUN
cana-638	73	10	in	in	ADP
cana-638	73	11	the	the	DET
cana-638	73	12	arabic	arabic	ADJ
cana-638	73	13	hotel	hotel	NOUN
cana-638	73	14	reviews	review	NOUN
cana-638	73	15	using	use	VERB
cana-638	73	16	the	the	DET
cana-638	73	17	svm	svm	ADJ
cana-638	73	18	technique	technique	NOUN
cana-638	73	19	.	.	PUNCT
cana-638	74	1	the	the	DET
cana-638	74	2	features	feature	NOUN
cana-638	74	3	are	be	AUX
cana-638	74	4	extracted	extract	VERB
cana-638	74	5	using	use	VERB
cana-638	74	6	the	the	DET
cana-638	74	7	stemming	stemming	NOUN
cana-638	74	8	and	and	CCONJ
cana-638	74	9	bag	bag	NOUN
cana-638	74	10	of	of	ADP
cana-638	74	11	words	word	NOUN
cana-638	74	12	approach	approach	NOUN
cana-638	74	13	.	.	PUNCT
cana-638	75	1	this	this	DET
cana-638	75	2	work	work	NOUN
cana-638	75	3	also	also	ADV
cana-638	75	4	takes	take	VERB
cana-638	75	5	into	into	ADP
cana-638	75	6	account	account	NOUN
cana-638	75	7	the	the	DET
cana-638	75	8	set	set	NOUN
cana-638	75	9	of	of	ADP
cana-638	75	10	morphological	morphological	ADJ
cana-638	75	11	,	,	PUNCT
cana-638	75	12	syntactic	syntactic	ADJ
cana-638	75	13	,	,	PUNCT
cana-638	75	14	and	and	CCONJ
cana-638	75	15	semantic	semantic	ADJ
cana-638	75	16	features	feature	NOUN
cana-638	75	17	.	.	PUNCT
cana-638	76	1	the	the	DET
cana-638	76	2	svm	svm	ADJ
cana-638	76	3	technique	technique	NOUN
cana-638	76	4	outperforms	outperform	VERB
cana-638	76	5	the	the	DET
cana-638	76	6	deep	deep	ADJ
cana-638	76	7	learning	learning	NOUN
cana-638	76	8	technique	technique	NOUN
cana-638	76	9	in	in	ADP
cana-638	76	10	terms	term	NOUN
cana-638	76	11	of	of	ADP
cana-638	76	12	aspect	aspect	NOUN
cana-638	76	13	class	class	NOUN
cana-638	76	14	identification	identification	NOUN
cana-638	76	15	,	,	PUNCT
cana-638	76	16	aspect	aspect	NOUN
cana-638	76	17	sentiment	sentiment	NOUN
cana-638	76	18	polarity	polarity	NOUN
cana-638	76	19	identification	identification	NOUN
cana-638	76	20	,	,	PUNCT
cana-638	76	21	and	and	CCONJ
cana-638	76	22	aspect	aspect	VERB
cana-638	76	23	opinion	opinion	NOUN
cana-638	76	24	target	target	NOUN
cana-638	76	25	expression	expression	NOUN
cana-638	76	26	identification	identification	NOUN
cana-638	76	27	.	.	PUNCT
cana-638	77	1	however	however	ADV
cana-638	77	2	,	,	PUNCT
cana-638	77	3	the	the	DET
cana-638	77	4	training	training	NOUN
cana-638	77	5	and	and	CCONJ
cana-638	77	6	testing	testing	NOUN
cana-638	77	7	time	time	NOUN
cana-638	77	8	of	of	ADP
cana-638	77	9	the	the	DET
cana-638	77	10	model	model	NOUN
cana-638	77	11	is	be	AUX
cana-638	77	12	higher	high	ADJ
cana-638	77	13	when	when	SCONJ
cana-638	77	14	compared	compare	VERB
cana-638	77	15	with	with	ADP
cana-638	77	16	the	the	DET
cana-638	77	17	recurrent	recurrent	ADJ
cana-638	77	18	neural	neural	ADJ
cana-638	77	19	network	network	NOUN
cana-638	77	20	(	(	PUNCT
cana-638	77	21	rnn	rnn	PROPN
cana-638	77	22	)	)	PUNCT
cana-638	78	1	[	[	X
cana-638	78	2	13	13	NUM
cana-638	78	3	]	]	PUNCT
cana-638	78	4	.	.	PUNCT
cana-638	79	1	the	the	DET
cana-638	79	2	ann	ann	PROPN
cana-638	79	3	mainly	mainly	ADV
cana-638	79	4	extracts	extract	VERB
cana-638	79	5	the	the	DET
cana-638	79	6	features	feature	NOUN
cana-638	79	7	using	use	VERB
cana-638	79	8	a	a	DET
cana-638	79	9	linear	linear	ADJ
cana-638	79	10	combination	combination	NOUN
cana-638	79	11	of	of	ADP
cana-638	79	12	input	input	NOUN
cana-638	79	13	data	datum	NOUN
cana-638	79	14	and	and	CCONJ
cana-638	79	15	processes	process	VERB
cana-638	79	16	it	it	PRON
cana-638	79	17	to	to	PART
cana-638	79	18	yield	yield	VERB
cana-638	79	19	a	a	DET
cana-638	79	20	nonlinear	nonlinear	ADJ
cana-638	79	21	function	function	NOUN
cana-638	79	22	comprising	comprise	VERB
cana-638	79	23	these	these	DET
cana-638	79	24	features	feature	NOUN
cana-638	79	25	.	.	PUNCT
cana-638	80	1	it	it	PRON
cana-638	80	2	mainly	mainly	ADV
cana-638	80	3	imitates	imitate	VERB
cana-638	80	4	the	the	DET
cana-638	80	5	human	human	ADJ
cana-638	80	6	brain	brain	NOUN
cana-638	80	7	in	in	ADP
cana-638	80	8	processing	processing	NOUN
cana-638	80	9	information	information	NOUN
cana-638	80	10	.	.	PUNCT
cana-638	81	1	the	the	DET
cana-638	81	2	ann	ann	PROPN
cana-638	81	3	is	be	AUX
cana-638	81	4	mainly	mainly	ADV
cana-638	81	5	trained	train	VERB
cana-638	81	6	using	use	VERB
cana-638	81	7	gradient	gradient	ADJ
cana-638	81	8	descent	descent	NOUN
cana-638	81	9	techniques	technique	NOUN
cana-638	81	10	.	.	PUNCT
cana-638	82	1	rodrigo	rodrigo	PROPN
cana-638	82	2	moraes	moraes	PROPN
cana-638	82	3	et	et	PROPN
cana-638	82	4	al	al	PROPN
cana-638	82	5	.	.	PROPN
cana-638	83	1	(	(	PUNCT
cana-638	83	2	2013	2013	NUM
cana-638	83	3	)	)	PUNCT
cana-638	83	4	presented	present	VERB
cana-638	83	5	an	an	DET
cana-638	83	6	ann	ann	PROPN
cana-638	83	7	model	model	NOUN
cana-638	83	8	for	for	ADP
cana-638	83	9	document	document	NOUN
cana-638	83	10	-	-	PUNCT
cana-638	83	11	level	level	NOUN
cana-638	83	12	sentimental	sentimental	ADJ
cana-638	83	13	analysis	analysis	NOUN
cana-638	83	14	.	.	PUNCT
cana-638	84	1	the	the	DET
cana-638	84	2	experimentation	experimentation	NOUN
cana-638	84	3	is	be	AUX
cana-638	84	4	conducted	conduct	VERB
cana-638	84	5	on	on	ADP
cana-638	84	6	four	four	NUM
cana-638	84	7	different	different	ADJ
cana-638	84	8	datasets	dataset	NOUN
cana-638	84	9	:	:	PUNCT
cana-638	84	10	movie	movie	NOUN
cana-638	84	11	reviews	review	NOUN
cana-638	84	12	,	,	PUNCT
cana-638	84	13	gps	gps	NOUN
cana-638	84	14	,	,	PUNCT
cana-638	84	15	books	book	NOUN
cana-638	84	16	,	,	PUNCT
cana-638	84	17	and	and	CCONJ
cana-638	84	18	cameras	camera	NOUN
cana-638	84	19	.	.	PUNCT
cana-638	85	1	every	every	DET
cana-638	85	2	dataset	dataset	NOUN
cana-638	85	3	comprises	comprise	VERB
cana-638	85	4	2000	2000	NUM
cana-638	85	5	reviews	review	NOUN
cana-638	85	6	which	which	PRON
cana-638	85	7	are	be	AUX
cana-638	85	8	either	either	ADV
cana-638	85	9	classified	classify	VERB
cana-638	85	10	as	as	ADP
cana-638	85	11	positive	positive	ADJ
cana-638	85	12	or	or	CCONJ
cana-638	85	13	negative	negative	ADJ
cana-638	85	14	.	.	PUNCT
cana-638	86	1	the	the	DET
cana-638	86	2	ann	ann	PROPN
cana-638	86	3	classifier	classifier	PROPN
cana-638	86	4	classifies	classify	VERB
cana-638	86	5	the	the	DET
cana-638	86	6	reviews	review	NOUN
cana-638	86	7	with	with	ADP
cana-638	86	8	more	more	ADJ
cana-638	86	9	than	than	ADP
cana-638	86	10	3	3	NUM
cana-638	86	11	-	-	PUNCT
cana-638	86	12	star	star	NOUN
cana-638	86	13	ratings	rating	NOUN
cana-638	86	14	as	as	ADP
cana-638	86	15	positive	positive	ADJ
cana-638	86	16	and	and	CCONJ
cana-638	86	17	reviews	review	NOUN
cana-638	86	18	below	below	ADP
cana-638	86	19	3	3	NUM
cana-638	86	20	-	-	PUNCT
cana-638	86	21	star	star	NOUN
cana-638	86	22	ratings	rating	NOUN
cana-638	86	23	as	as	ADP
cana-638	86	24	negative	negative	ADJ
cana-638	86	25	.	.	PUNCT
cana-638	87	1	however	however	ADV
cana-638	87	2	,	,	PUNCT
cana-638	87	3	the	the	DET
cana-638	87	4	proposed	propose	VERB
cana-638	87	5	technique	technique	NOUN
cana-638	87	6	offers	offer	VERB
cana-638	87	7	low	low	ADJ
cana-638	87	8	performance	performance	NOUN
cana-638	87	9	for	for	ADP
cana-638	87	10	the	the	DET
cana-638	87	11	unbalanced	unbalanced	ADJ
cana-638	87	12	dataset	dataset	NOUN
cana-638	88	1	[	[	X
cana-638	88	2	14	14	NUM
cana-638	88	3	]	]	PUNCT
cana-638	88	4	.	.	PUNCT
cana-638	89	1	communications	communication	NOUN
cana-638	89	2	on	on	ADP
cana-638	89	3	applied	apply	VERB
cana-638	89	4	nonlinear	nonlinear	ADJ
cana-638	89	5	analysis	analysis	NOUN
cana-638	89	6	issn	issn	NOUN
cana-638	89	7	:	:	PUNCT
cana-638	89	8	1074	1074	NUM
cana-638	89	9	-	-	PUNCT
cana-638	89	10	133x	133x	NUM
cana-638	89	11	vol	vol	NOUN
cana-638	89	12	31	31	NUM
cana-638	89	13	no	no	NOUN
cana-638	89	14	.	.	PUNCT
cana-638	90	1	2s	2s	NUM
cana-638	90	2	(	(	PUNCT
cana-638	90	3	2024	2024	NUM
cana-638	90	4	)	)	PUNCT
cana-638	90	5	237	237	NUM
cana-638	90	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	90	7	zeeshan	zeeshan	PROPN
cana-638	90	8	shaukat	shaukat	PROPN
cana-638	90	9	et	et	PROPN
cana-638	90	10	al	al	PROPN
cana-638	90	11	.	.	PROPN
cana-638	91	1	(	(	PUNCT
cana-638	91	2	2019	2019	NUM
cana-638	91	3	)	)	PUNCT
cana-638	91	4	presented	present	VERB
cana-638	91	5	an	an	DET
cana-638	91	6	ann	ann	PROPN
cana-638	91	7	model	model	NOUN
cana-638	91	8	for	for	ADP
cana-638	91	9	identifying	identify	VERB
cana-638	91	10	the	the	DET
cana-638	91	11	sentiments	sentiment	NOUN
cana-638	91	12	present	present	ADJ
cana-638	91	13	in	in	ADP
cana-638	91	14	the	the	DET
cana-638	91	15	movie	movie	NOUN
cana-638	91	16	review	review	NOUN
cana-638	91	17	and	and	CCONJ
cana-638	91	18	provide	provide	VERB
cana-638	91	19	a	a	DET
cana-638	91	20	rating	rating	NOUN
cana-638	91	21	along	along	ADP
cana-638	91	22	with	with	ADP
cana-638	91	23	it	it	PRON
cana-638	91	24	.	.	PUNCT
cana-638	92	1	this	this	PRON
cana-638	92	2	helps	help	VERB
cana-638	92	3	one	one	PRON
cana-638	92	4	identify	identify	VERB
cana-638	92	5	the	the	DET
cana-638	92	6	different	different	ADJ
cana-638	92	7	parts	part	NOUN
cana-638	92	8	of	of	ADP
cana-638	92	9	the	the	DET
cana-638	92	10	movie	movie	NOUN
cana-638	92	11	and	and	CCONJ
cana-638	92	12	the	the	DET
cana-638	92	13	reviewer	reviewer	NOUN
cana-638	92	14	’s	’s	PART
cana-638	92	15	opinions	opinion	NOUN
cana-638	92	16	.	.	PUNCT
cana-638	93	1	the	the	DET
cana-638	93	2	proposed	propose	VERB
cana-638	93	3	model	model	NOUN
cana-638	93	4	has	have	AUX
cana-638	93	5	been	be	AUX
cana-638	93	6	trained	train	VERB
cana-638	93	7	using	use	VERB
cana-638	93	8	the	the	DET
cana-638	93	9	movie	movie	NOUN
cana-638	93	10	review	review	NOUN
cana-638	93	11	database	database	NOUN
cana-638	93	12	and	and	CCONJ
cana-638	93	13	provided	provide	VERB
cana-638	93	14	a	a	DET
cana-638	93	15	final	final	ADJ
cana-638	93	16	accuracy	accuracy	NOUN
cana-638	93	17	of	of	ADP
cana-638	93	18	91	91	NUM
cana-638	93	19	%	%	NOUN
cana-638	93	20	.	.	PUNCT
cana-638	94	1	kalaraniet	kalaraniet	PROPN
cana-638	94	2	al	al	PROPN
cana-638	94	3	.	.	PROPN
cana-638	95	1	(	(	PUNCT
cana-638	95	2	2019	2019	NUM
cana-638	95	3	)	)	PUNCT
cana-638	95	4	presented	present	VERB
cana-638	95	5	an	an	DET
cana-638	95	6	accurate	accurate	ADJ
cana-638	95	7	segmentation	segmentation	NOUN
cana-638	95	8	model	model	NOUN
cana-638	95	9	using	use	VERB
cana-638	95	10	the	the	DET
cana-638	95	11	ann	ann	PROPN
cana-638	95	12	for	for	ADP
cana-638	95	13	analyzing	analyze	VERB
cana-638	95	14	movie	movie	NOUN
cana-638	95	15	reviews	review	NOUN
cana-638	95	16	.	.	PUNCT
cana-638	96	1	they	they	PRON
cana-638	96	2	applied	apply	VERB
cana-638	96	3	the	the	DET
cana-638	96	4	model	model	NOUN
cana-638	96	5	for	for	ADP
cana-638	96	6	both	both	CCONJ
cana-638	96	7	balanced	balanced	ADJ
cana-638	96	8	and	and	CCONJ
cana-638	96	9	unbalanced	unbalanced	ADJ
cana-638	96	10	datasets	dataset	NOUN
cana-638	96	11	.	.	PUNCT
cana-638	97	1	the	the	DET
cana-638	97	2	pos	pos	NOUN
cana-638	97	3	tagging	tagging	NOUN
cana-638	97	4	approach	approach	NOUN
cana-638	97	5	is	be	AUX
cana-638	97	6	used	use	VERB
cana-638	97	7	for	for	ADP
cana-638	97	8	extracting	extract	VERB
cana-638	97	9	the	the	DET
cana-638	97	10	unigrams	unigram	NOUN
cana-638	97	11	and	and	CCONJ
cana-638	97	12	bi	bi	ADJ
cana-638	97	13	-	-	ADJ
cana-638	97	14	tagged	tagged	ADJ
cana-638	97	15	features	feature	NOUN
cana-638	97	16	.	.	PUNCT
cana-638	98	1	using	use	VERB
cana-638	98	2	relevance	relevance	NOUN
cana-638	98	3	and	and	CCONJ
cana-638	98	4	redundancy	redundancy	NOUN
cana-638	98	5	,	,	PUNCT
cana-638	98	6	the	the	DET
cana-638	98	7	feature	feature	NOUN
cana-638	98	8	information	information	NOUN
cana-638	98	9	is	be	AUX
cana-638	98	10	computed	compute	VERB
cana-638	98	11	and	and	CCONJ
cana-638	98	12	provided	provide	VERB
cana-638	98	13	as	as	ADP
cana-638	98	14	the	the	DET
cana-638	98	15	input	input	NOUN
cana-638	98	16	to	to	ADP
cana-638	98	17	the	the	DET
cana-638	98	18	ann	ann	PROPN
cana-638	98	19	.	.	PUNCT
cana-638	99	1	the	the	DET
cana-638	99	2	proposed	propose	VERB
cana-638	99	3	model	model	NOUN
cana-638	99	4	gives	give	VERB
cana-638	99	5	an	an	DET
cana-638	99	6	accuracy	accuracy	NOUN
cana-638	99	7	of	of	ADP
cana-638	99	8	81.5	81.5	NUM
cana-638	99	9	%	%	NOUN
cana-638	99	10	in	in	ADP
cana-638	99	11	the	the	DET
cana-638	99	12	balanced	balanced	ADJ
cana-638	99	13	movie	movie	NOUN
cana-638	99	14	review	review	NOUN
cana-638	99	15	dataset	dataset	VERB
cana-638	99	16	and	and	CCONJ
cana-638	99	17	gives	give	VERB
cana-638	99	18	an	an	DET
cana-638	99	19	accuracy	accuracy	NOUN
cana-638	99	20	of	of	ADP
cana-638	99	21	88	88	NUM
cana-638	99	22	%	%	NOUN
cana-638	99	23	in	in	ADP
cana-638	99	24	the	the	DET
cana-638	99	25	unbalanced	unbalanced	ADJ
cana-638	99	26	movie	movie	NOUN
cana-638	99	27	review	review	NOUN
cana-638	99	28	dataset	dataset	VERB
cana-638	99	29	[	[	X
cana-638	99	30	15	15	NUM
cana-638	99	31	,	,	PUNCT
cana-638	99	32	16	16	NUM
cana-638	99	33	,	,	PUNCT
cana-638	99	34	17	17	NUM
cana-638	99	35	]	]	PUNCT
cana-638	99	36	.	.	PUNCT
cana-638	100	1	3	3	X
cana-638	100	2	.	.	NUM
cana-638	100	3	proposed	propose	VERB
cana-638	100	4	methodology	methodology	NOUN
cana-638	100	5	for	for	ADP
cana-638	100	6	sentiment	sentiment	NOUN
cana-638	100	7	analysis	analysis	NOUN
cana-638	100	8	from	from	ADP
cana-638	100	9	tweet	tweet	NOUN
cana-638	100	10	sentiment	sentiment	NOUN
cana-638	100	11	analysis	analysis	NOUN
cana-638	100	12	,	,	PUNCT
cana-638	100	13	a	a	DET
cana-638	100	14	crucial	crucial	ADJ
cana-638	100	15	task	task	NOUN
cana-638	100	16	in	in	ADP
cana-638	100	17	natural	natural	ADJ
cana-638	100	18	language	language	NOUN
cana-638	100	19	processing	processing	NOUN
cana-638	100	20	,	,	PUNCT
cana-638	100	21	aims	aim	VERB
cana-638	100	22	to	to	PART
cana-638	100	23	extract	extract	VERB
cana-638	100	24	subjective	subjective	ADJ
cana-638	100	25	information	information	NOUN
cana-638	100	26	from	from	ADP
cana-638	100	27	text	text	NOUN
cana-638	100	28	data	datum	NOUN
cana-638	100	29	,	,	PUNCT
cana-638	100	30	discerning	discern	VERB
cana-638	100	31	the	the	DET
cana-638	100	32	sentiment	sentiment	NOUN
cana-638	100	33	conveyed	convey	VERB
cana-638	100	34	within	within	ADP
cana-638	100	35	.	.	PUNCT
cana-638	101	1	traditional	traditional	ADJ
cana-638	101	2	sentiment	sentiment	NOUN
cana-638	101	3	analysis	analysis	NOUN
cana-638	101	4	approaches	approach	NOUN
cana-638	101	5	often	often	ADV
cana-638	101	6	encounter	encounter	VERB
cana-638	101	7	challenges	challenge	NOUN
cana-638	101	8	with	with	ADP
cana-638	101	9	handling	handle	VERB
cana-638	101	10	the	the	DET
cana-638	101	11	complexities	complexity	NOUN
cana-638	101	12	of	of	ADP
cana-638	101	13	natural	natural	ADJ
cana-638	101	14	language	language	NOUN
cana-638	101	15	,	,	PUNCT
cana-638	101	16	including	include	VERB
cana-638	101	17	ambiguity	ambiguity	NOUN
cana-638	101	18	,	,	PUNCT
cana-638	101	19	context	context	NOUN
cana-638	101	20	dependence	dependence	NOUN
cana-638	101	21	,	,	PUNCT
cana-638	101	22	and	and	CCONJ
cana-638	101	23	linguistic	linguistic	ADJ
cana-638	101	24	variations	variation	NOUN
cana-638	101	25	.	.	PUNCT
cana-638	102	1	to	to	PART
cana-638	102	2	address	address	VERB
cana-638	102	3	these	these	DET
cana-638	102	4	issues	issue	NOUN
cana-638	102	5	,	,	PUNCT
cana-638	102	6	this	this	DET
cana-638	102	7	research	research	NOUN
cana-638	102	8	proposes	propose	VERB
cana-638	102	9	a	a	DET
cana-638	102	10	novel	novel	ADJ
cana-638	102	11	framework	framework	NOUN
cana-638	102	12	integrating	integrate	VERB
cana-638	102	13	harris	harris	PROPN
cana-638	102	14	hawk	hawk	PROPN
cana-638	102	15	optimization	optimization	NOUN
cana-638	102	16	(	(	PUNCT
cana-638	102	17	hho	hho	NOUN
cana-638	102	18	)	)	PUNCT
cana-638	102	19	with	with	ADP
cana-638	102	20	a	a	DET
cana-638	102	21	recurrent	recurrent	ADJ
cana-638	102	22	fuzzy	fuzzy	ADJ
cana-638	102	23	neural	neural	ADJ
cana-638	102	24	network	network	NOUN
cana-638	102	25	(	(	PUNCT
cana-638	102	26	frnn	frnn	PROPN
cana-638	102	27	)	)	PUNCT
cana-638	102	28	for	for	ADP
cana-638	102	29	sentiment	sentiment	NOUN
cana-638	102	30	analysis	analysis	NOUN
cana-638	102	31	tasks	task	NOUN
cana-638	102	32	.	.	PUNCT
cana-638	103	1	this	this	DET
cana-638	103	2	work	work	NOUN
cana-638	103	3	analysis	analysis	NOUN
cana-638	103	4	the	the	DET
cana-638	103	5	kernel	kernel	PROPN
cana-638	103	6	extreme	extreme	PROPN
cana-638	103	7	learning	learning	NOUN
cana-638	103	8	machine	machine	NOUN
cana-638	103	9	(	(	PUNCT
cana-638	103	10	kelm	kelm	PROPN
cana-638	103	11	)	)	PUNCT
cana-638	103	12	for	for	ADP
cana-638	103	13	detection	detection	NOUN
cana-638	103	14	.	.	PUNCT
cana-638	104	1	before	before	ADP
cana-638	104	2	detection	detection	NOUN
cana-638	104	3	,	,	PUNCT
cana-638	104	4	the	the	DET
cana-638	104	5	input	input	NOUN
cana-638	104	6	tweet	tweet	NOUN
cana-638	104	7	needs	need	VERB
cana-638	104	8	to	to	PART
cana-638	104	9	be	be	AUX
cana-638	104	10	preprocessed	preprocesse	VERB
cana-638	104	11	using	use	VERB
cana-638	104	12	stemming	stemming	NOUN
cana-638	104	13	,	,	PUNCT
cana-638	104	14	stop	stop	VERB
cana-638	104	15	word	word	NOUN
cana-638	104	16	removal	removal	NOUN
cana-638	104	17	,	,	PUNCT
cana-638	104	18	tokenization	tokenization	NOUN
cana-638	104	19	,	,	PUNCT
cana-638	104	20	part	part	NOUN
cana-638	104	21	of	of	ADP
cana-638	104	22	speech	speech	NOUN
cana-638	104	23	(	(	PUNCT
cana-638	104	24	pos	pos	NOUN
cana-638	104	25	)	)	PUNCT
cana-638	104	26	tagging	tagging	NOUN
cana-638	104	27	,	,	PUNCT
cana-638	104	28	and	and	CCONJ
cana-638	104	29	microblogging	microblogge	VERB
cana-638	104	30	before	before	ADP
cana-638	104	31	detection	detection	NOUN
cana-638	104	32	.	.	PUNCT
cana-638	105	1	the	the	DET
cana-638	105	2	features	feature	NOUN
cana-638	105	3	from	from	ADP
cana-638	105	4	the	the	DET
cana-638	105	5	preprocessed	preprocesse	VERB
cana-638	105	6	data	datum	NOUN
cana-638	105	7	are	be	AUX
cana-638	105	8	extracted	extract	VERB
cana-638	105	9	using	use	VERB
cana-638	105	10	latent	latent	NOUN
cana-638	105	11	semantic	semantic	ADJ
cana-638	105	12	analysis	analysis	NOUN
cana-638	105	13	(	(	PUNCT
cana-638	105	14	lsa	lsa	NOUN
cana-638	105	15	)	)	PUNCT
cana-638	105	16	,	,	PUNCT
cana-638	105	17	independent	independent	ADJ
cana-638	105	18	component	component	NOUN
cana-638	105	19	analysis	analysis	NOUN
cana-638	105	20	(	(	PUNCT
cana-638	105	21	ica	ica	PROPN
cana-638	105	22	)	)	PUNCT
cana-638	105	23	,	,	PUNCT
cana-638	105	24	and	and	CCONJ
cana-638	105	25	lexicon	lexicon	NOUN
cana-638	105	26	-	-	PUNCT
cana-638	105	27	based	base	VERB
cana-638	105	28	features	feature	VERB
cana-638	105	29	analysis	analysis	NOUN
cana-638	105	30	.	.	PUNCT
cana-638	106	1	next	next	ADV
cana-638	106	2	,	,	PUNCT
cana-638	106	3	the	the	DET
cana-638	106	4	dimension	dimension	NOUN
cana-638	106	5	of	of	ADP
cana-638	106	6	extracted	extract	VERB
cana-638	106	7	features	feature	NOUN
cana-638	106	8	is	be	AUX
cana-638	106	9	reduced	reduce	VERB
cana-638	106	10	using	use	VERB
cana-638	106	11	a	a	DET
cana-638	106	12	chi	chi	ADJ
cana-638	106	13	-	-	PUNCT
cana-638	106	14	square	square	NOUN
cana-638	106	15	.	.	PUNCT
cana-638	107	1	point	point	NOUN
cana-638	107	2	-	-	PUNCT
cana-638	107	3	wise	wise	ADJ
cana-638	107	4	mutual	mutual	ADJ
cana-638	107	5	information	information	NOUN
cana-638	107	6	(	(	PUNCT
cana-638	107	7	pmi	pmi	PROPN
cana-638	107	8	)	)	PUNCT
cana-638	107	9	,	,	PUNCT
cana-638	107	10	and	and	CCONJ
cana-638	107	11	distinguishing	distinguish	VERB
cana-638	107	12	feature	feature	NOUN
cana-638	107	13	selector	selector	NOUN
cana-638	107	14	(	(	PUNCT
cana-638	107	15	dfs	dfs	NOUN
cana-638	107	16	)	)	PUNCT
cana-638	107	17	approaches	approach	NOUN
cana-638	107	18	.	.	PUNCT
cana-638	108	1	then	then	ADV
cana-638	108	2	,	,	PUNCT
cana-638	108	3	use	use	VERB
cana-638	108	4	these	these	DET
cana-638	108	5	extracted	extract	VERB
cana-638	108	6	feature	feature	NOUN
cana-638	108	7	vectors	vector	NOUN
cana-638	108	8	as	as	ADP
cana-638	108	9	input	input	NOUN
cana-638	108	10	for	for	ADP
cana-638	108	11	training	training	NOUN
cana-638	108	12	and	and	CCONJ
cana-638	108	13	testing	test	VERB
cana-638	108	14	the	the	DET
cana-638	108	15	detection	detection	NOUN
cana-638	108	16	algorithm	algorithm	NOUN
cana-638	108	17	.	.	PUNCT
cana-638	109	1	the	the	DET
cana-638	109	2	process	process	NOUN
cana-638	109	3	flow	flow	NOUN
cana-638	109	4	of	of	ADP
cana-638	109	5	the	the	DET
cana-638	109	6	proposed	propose	VERB
cana-638	109	7	sentiment	sentiment	NOUN
cana-638	109	8	analysis	analysis	NOUN
cana-638	109	9	approach	approach	NOUN
cana-638	109	10	is	be	AUX
cana-638	109	11	shown	show	VERB
cana-638	109	12	in	in	ADP
cana-638	109	13	figure	figure	NOUN
cana-638	109	14	1	1	NUM
cana-638	109	15	.	.	PUNCT
cana-638	110	1	moreover	moreover	ADV
cana-638	110	2	,	,	PUNCT
cana-638	110	3	detecting	detect	VERB
cana-638	110	4	the	the	DET
cana-638	110	5	sentiments	sentiment	NOUN
cana-638	110	6	from	from	ADP
cana-638	110	7	the	the	DET
cana-638	110	8	classified	classified	ADJ
cana-638	110	9	tweet	tweet	NOUN
cana-638	110	10	is	be	AUX
cana-638	110	11	necessary	necessary	ADJ
cana-638	110	12	,	,	PUNCT
cana-638	110	13	which	which	PRON
cana-638	110	14	evaluates	evaluate	VERB
cana-638	110	15	the	the	DET
cana-638	110	16	emotions	emotion	NOUN
cana-638	110	17	from	from	ADP
cana-638	110	18	the	the	DET
cana-638	110	19	classified	classified	ADJ
cana-638	110	20	tweet	tweet	NOUN
cana-638	110	21	.	.	PUNCT
cana-638	111	1	figure	figure	NOUN
cana-638	111	2	1	1	NUM
cana-638	111	3	:	:	PUNCT
cana-638	111	4	flowchart	flowchart	NOUN
cana-638	111	5	for	for	ADP
cana-638	111	6	proposed	propose	VERB
cana-638	111	7	sentiment	sentiment	NOUN
cana-638	111	8	classification	classification	NOUN
cana-638	111	9	using	use	VERB
cana-638	111	10	optimization	optimization	NOUN
cana-638	111	11	based	base	VERB
cana-638	111	12	fuzzy	fuzzy	ADJ
cana-638	111	13	rnn	rnn	NOUN
cana-638	111	14	communications	communication	NOUN
cana-638	111	15	on	on	ADP
cana-638	111	16	applied	apply	VERB
cana-638	111	17	nonlinear	nonlinear	ADJ
cana-638	111	18	analysis	analysis	NOUN
cana-638	111	19	issn	issn	NOUN
cana-638	111	20	:	:	PUNCT
cana-638	111	21	1074	1074	NUM
cana-638	111	22	-	-	PUNCT
cana-638	111	23	133x	133x	NUM
cana-638	111	24	vol	vol	NOUN
cana-638	111	25	31	31	NUM
cana-638	111	26	no	no	NOUN
cana-638	111	27	.	.	PUNCT
cana-638	112	1	2s	2s	NUM
cana-638	112	2	(	(	PUNCT
cana-638	112	3	2024	2024	NUM
cana-638	112	4	)	)	PUNCT
cana-638	112	5	238	238	NUM
cana-638	112	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	112	7	an	an	DET
cana-638	112	8	optimization	optimization	NOUN
cana-638	112	9	-	-	PUNCT
cana-638	112	10	based	base	VERB
cana-638	112	11	deep	deep	ADJ
cana-638	112	12	learning	learning	NOUN
cana-638	112	13	approach	approach	NOUN
cana-638	112	14	identifies	identify	VERB
cana-638	112	15	the	the	DET
cana-638	112	16	sentiments	sentiment	NOUN
cana-638	112	17	;	;	PUNCT
cana-638	112	18	present	present	ADJ
cana-638	112	19	in	in	ADP
cana-638	112	20	the	the	DET
cana-638	112	21	detected	detect	VERB
cana-638	112	22	tweet	tweet	NOUN
cana-638	112	23	.	.	PUNCT
cana-638	113	1	the	the	DET
cana-638	113	2	fuzzy	fuzzy	ADJ
cana-638	113	3	recurrent	recurrent	ADJ
cana-638	113	4	neural	neural	ADJ
cana-638	113	5	network	network	NOUN
cana-638	113	6	(	(	PUNCT
cana-638	113	7	frnn	frnn	PROPN
cana-638	113	8	)	)	PUNCT
cana-638	113	9	is	be	AUX
cana-638	113	10	used	use	VERB
cana-638	113	11	for	for	ADP
cana-638	113	12	this	this	DET
cana-638	113	13	sentiment	sentiment	NOUN
cana-638	113	14	analysis	analysis	NOUN
cana-638	113	15	.	.	PUNCT
cana-638	114	1	a	a	DET
cana-638	114	2	metaheuristic	metaheuristic	ADJ
cana-638	114	3	optimization	optimization	NOUN
cana-638	114	4	algorithm	algorithm	PROPN
cana-638	114	5	harris	harris	PROPN
cana-638	114	6	hawk	hawk	PROPN
cana-638	114	7	optimization	optimization	NOUN
cana-638	114	8	(	(	PUNCT
cana-638	114	9	hho	hho	NOUN
cana-638	114	10	)	)	PUNCT
cana-638	114	11	is	be	AUX
cana-638	114	12	a	a	DET
cana-638	114	13	hybrid	hybrid	ADJ
cana-638	114	14	algorithm	algorithm	NOUN
cana-638	114	15	along	along	ADP
cana-638	114	16	with	with	ADP
cana-638	114	17	the	the	DET
cana-638	114	18	proposed	propose	VERB
cana-638	114	19	neural	neural	ADJ
cana-638	114	20	network	network	NOUN
cana-638	114	21	to	to	PART
cana-638	114	22	maximize	maximize	VERB
cana-638	114	23	the	the	DET
cana-638	114	24	classification	classification	NOUN
cana-638	114	25	accuracy	accuracy	NOUN
cana-638	114	26	.	.	PUNCT
cana-638	115	1	the	the	DET
cana-638	115	2	weight	weight	NOUN
cana-638	115	3	parameter	parameter	NOUN
cana-638	115	4	is	be	AUX
cana-638	115	5	optimized	optimize	VERB
cana-638	115	6	to	to	ADP
cana-638	115	7	the	the	DET
cana-638	115	8	optimal	optimal	ADJ
cana-638	115	9	or	or	CCONJ
cana-638	115	10	near	near	ADV
cana-638	115	11	-	-	PUNCT
cana-638	115	12	optimal	optimal	ADJ
cana-638	115	13	solution	solution	NOUN
cana-638	115	14	using	use	VERB
cana-638	115	15	the	the	DET
cana-638	115	16	hho	hho	NOUN
cana-638	115	17	algorithm	algorithm	NOUN
cana-638	115	18	.	.	PUNCT
cana-638	116	1	this	this	DET
cana-638	116	2	merit	merit	NOUN
cana-638	116	3	makes	make	VERB
cana-638	116	4	it	it	PRON
cana-638	116	5	attain	attain	VERB
cana-638	116	6	the	the	DET
cana-638	116	7	fastest	fast	ADJ
cana-638	116	8	convergence	convergence	NOUN
cana-638	116	9	rate	rate	NOUN
cana-638	116	10	.	.	PUNCT
cana-638	117	1	the	the	DET
cana-638	117	2	training	training	NOUN
cana-638	117	3	procedure	procedure	NOUN
cana-638	117	4	carried	carry	VERB
cana-638	117	5	out	out	ADP
cana-638	117	6	in	in	ADP
cana-638	117	7	frnn	frnn	NOUN
cana-638	117	8	intends	intend	VERB
cana-638	117	9	to	to	PART
cana-638	117	10	decide	decide	VERB
cana-638	117	11	the	the	DET
cana-638	117	12	connection	connection	NOUN
cana-638	117	13	weights	weight	NOUN
cana-638	117	14	among	among	ADP
cana-638	117	15	several	several	ADJ
cana-638	117	16	neurons	neuron	NOUN
cana-638	117	17	for	for	ADP
cana-638	117	18	error	error	NOUN
cana-638	117	19	reduction	reduction	NOUN
cana-638	117	20	.	.	PUNCT
cana-638	118	1	the	the	DET
cana-638	118	2	dataset	dataset	NOUN
cana-638	118	3	does	do	AUX
cana-638	118	4	not	not	PART
cana-638	118	5	contain	contain	VERB
cana-638	118	6	any	any	DET
cana-638	118	7	sentiment	sentiment	NOUN
cana-638	118	8	labels	label	NOUN
cana-638	118	9	,	,	PUNCT
cana-638	118	10	therefore	therefore	ADV
cana-638	118	11	to	to	PART
cana-638	118	12	apply	apply	VERB
cana-638	118	13	label	label	NOUN
cana-638	118	14	for	for	ADP
cana-638	118	15	that	that	DET
cana-638	118	16	dataset	dataset	NOUN
cana-638	118	17	need	need	VERB
cana-638	118	18	a	a	DET
cana-638	118	19	text	text	NOUN
cana-638	118	20	blog	blog	NOUN
cana-638	118	21	based	base	VERB
cana-638	118	22	sentiment	sentiment	NOUN
cana-638	118	23	analysis	analysis	NOUN
cana-638	118	24	approach	approach	NOUN
cana-638	118	25	.	.	PUNCT
cana-638	119	1	noises	noise	NOUN
cana-638	119	2	.	.	PUNCT
cana-638	120	1	the	the	DET
cana-638	120	2	preprocessing	preprocessing	NOUN
cana-638	120	3	involves	involve	VERB
cana-638	120	4	some	some	DET
cana-638	120	5	steps	step	NOUN
cana-638	120	6	to	to	PART
cana-638	120	7	classify	classify	VERB
cana-638	120	8	the	the	DET
cana-638	120	9	input	input	NOUN
cana-638	120	10	short	short	ADJ
cana-638	120	11	message	message	NOUN
cana-638	120	12	service	service	NOUN
cana-638	120	13	using	use	VERB
cana-638	120	14	several	several	ADJ
cana-638	120	15	methods	method	NOUN
cana-638	120	16	.	.	PUNCT
cana-638	121	1	the	the	DET
cana-638	121	2	four	four	NUM
cana-638	121	3	steps	step	NOUN
cana-638	121	4	are	be	AUX
cana-638	121	5	:	:	PUNCT
cana-638	121	6	tokenization	tokenization	NOUN
cana-638	121	7	,	,	PUNCT
cana-638	121	8	stopping	stopping	NOUN
cana-638	121	9	,	,	PUNCT
cana-638	121	10	stemming	stemming	NOUN
cana-638	121	11	,	,	PUNCT
cana-638	121	12	and	and	CCONJ
cana-638	121	13	part	part	NOUN
cana-638	121	14	of	of	ADP
cana-638	121	15	speech	speech	NOUN
cana-638	121	16	(	(	PUNCT
cana-638	121	17	pos	pos	NOUN
cana-638	121	18	)	)	PUNCT
cana-638	121	19	.	.	PUNCT
cana-638	122	1	each	each	PRON
cana-638	122	2	of	of	ADP
cana-638	122	3	these	these	DET
cana-638	122	4	steps	step	NOUN
cana-638	122	5	is	be	AUX
cana-638	122	6	explained	explain	VERB
cana-638	122	7	in	in	ADP
cana-638	122	8	detail	detail	NOUN
cana-638	122	9	in	in	ADP
cana-638	122	10	chapter	chapter	NOUN
cana-638	122	11	3	3	NUM
cana-638	122	12	.	.	PUNCT
cana-638	123	1	features	feature	NOUN
cana-638	123	2	are	be	AUX
cana-638	123	3	extracted	extract	VERB
cana-638	123	4	using	use	VERB
cana-638	123	5	latent	latent	NOUN
cana-638	123	6	semantic	semantic	ADJ
cana-638	123	7	analysis	analysis	NOUN
cana-638	123	8	(	(	PUNCT
cana-638	123	9	lsa	lsa	NOUN
cana-638	123	10	)	)	PUNCT
cana-638	123	11	,	,	PUNCT
cana-638	123	12	independent	independent	ADJ
cana-638	123	13	component	component	NOUN
cana-638	123	14	analysis	analysis	NOUN
cana-638	123	15	(	(	PUNCT
cana-638	123	16	ica	ica	PROPN
cana-638	123	17	)	)	PUNCT
cana-638	123	18	,	,	PUNCT
cana-638	123	19	and	and	CCONJ
cana-638	123	20	lexicon	lexicon	NOUN
cana-638	123	21	-	-	PUNCT
cana-638	123	22	based	base	VERB
cana-638	123	23	features	feature	NOUN
cana-638	123	24	extraction	extraction	NOUN
cana-638	123	25	.	.	PUNCT
cana-638	124	1	feature	feature	NOUN
cana-638	124	2	extraction	extraction	NOUN
cana-638	124	3	feature	feature	NOUN
cana-638	124	4	extraction	extraction	NOUN
cana-638	124	5	is	be	AUX
cana-638	124	6	a	a	DET
cana-638	124	7	process	process	NOUN
cana-638	124	8	that	that	PRON
cana-638	124	9	converts	convert	VERB
cana-638	124	10	a	a	DET
cana-638	124	11	set	set	NOUN
cana-638	124	12	of	of	ADP
cana-638	124	13	input	input	NOUN
cana-638	124	14	data	datum	NOUN
cana-638	124	15	into	into	ADP
cana-638	124	16	its	its	PRON
cana-638	124	17	corresponding	correspond	VERB
cana-638	124	18	features	feature	NOUN
cana-638	124	19	.	.	PUNCT
cana-638	125	1	it	it	PRON
cana-638	125	2	is	be	AUX
cana-638	125	3	considered	consider	VERB
cana-638	125	4	an	an	DET
cana-638	125	5	essential	essential	ADJ
cana-638	125	6	step	step	NOUN
cana-638	125	7	in	in	ADP
cana-638	125	8	text	text	NOUN
cana-638	125	9	processing	processing	NOUN
cana-638	125	10	as	as	SCONJ
cana-638	125	11	it	it	PRON
cana-638	125	12	directly	directly	ADV
cana-638	125	13	affects	affect	VERB
cana-638	125	14	different	different	ADJ
cana-638	125	15	clusters	cluster	NOUN
cana-638	125	16	or	or	CCONJ
cana-638	125	17	classes	class	NOUN
cana-638	125	18	.	.	PUNCT
cana-638	126	1	moreover	moreover	ADV
cana-638	126	2	,	,	PUNCT
cana-638	126	3	identifying	identify	VERB
cana-638	126	4	effective	effective	ADJ
cana-638	126	5	features	feature	NOUN
cana-638	126	6	from	from	ADP
cana-638	126	7	unstructured	unstructured	ADJ
cana-638	126	8	data	datum	NOUN
cana-638	126	9	is	be	AUX
cana-638	126	10	considered	consider	VERB
cana-638	126	11	a	a	DET
cana-638	126	12	difficult	difficult	ADJ
cana-638	126	13	task	task	NOUN
cana-638	126	14	.	.	PUNCT
cana-638	127	1	two	two	NUM
cana-638	127	2	different	different	ADJ
cana-638	127	3	categories	category	NOUN
cana-638	127	4	of	of	ADP
cana-638	127	5	feature	feature	NOUN
cana-638	127	6	extraction	extraction	NOUN
cana-638	127	7	techniques	technique	NOUN
cana-638	127	8	are	be	AUX
cana-638	127	9	introduced	introduce	VERB
cana-638	127	10	in	in	ADP
cana-638	127	11	this	this	DET
cana-638	127	12	framework	framework	NOUN
cana-638	127	13	,	,	PUNCT
cana-638	127	14	one	one	NUM
cana-638	127	15	is	be	AUX
cana-638	127	16	for	for	ADP
cana-638	127	17	text	text	NOUN
cana-638	127	18	classification	classification	NOUN
cana-638	127	19	,	,	PUNCT
cana-638	127	20	and	and	CCONJ
cana-638	127	21	the	the	DET
cana-638	127	22	next	next	ADJ
cana-638	127	23	one	one	NOUN
cana-638	127	24	is	be	AUX
cana-638	127	25	for	for	ADP
cana-638	127	26	sentiment	sentiment	NOUN
cana-638	127	27	classification	classification	NOUN
cana-638	127	28	.	.	PUNCT
cana-638	128	1	the	the	DET
cana-638	128	2	details	detail	NOUN
cana-638	128	3	about	about	ADP
cana-638	128	4	the	the	DET
cana-638	128	5	two	two	NUM
cana-638	128	6	categories	category	NOUN
cana-638	128	7	of	of	ADP
cana-638	128	8	feature	feature	NOUN
cana-638	128	9	extraction	extraction	NOUN
cana-638	128	10	are	be	AUX
cana-638	128	11	discussed	discuss	VERB
cana-638	128	12	below	below	ADV
cana-638	128	13	.	.	PUNCT
cana-638	129	1	latent	latent	ADJ
cana-638	129	2	semantic	semantic	ADJ
cana-638	129	3	analysis	analysis	NOUN
cana-638	129	4	(	(	PUNCT
cana-638	129	5	lsa	lsa	NOUN
cana-638	129	6	)	)	PUNCT
cana-638	129	7	latent	latent	NOUN
cana-638	129	8	semantic	semantic	ADJ
cana-638	129	9	analysis	analysis	NOUN
cana-638	129	10	is	be	AUX
cana-638	129	11	defined	define	VERB
cana-638	129	12	as	as	ADP
cana-638	129	13	the	the	DET
cana-638	129	14	characteristic	characteristic	NOUN
cana-638	129	15	of	of	ADP
cana-638	129	16	algebraic	algebraic	ADJ
cana-638	129	17	statistical	statistical	ADJ
cana-638	129	18	methods	method	NOUN
cana-638	129	19	,	,	PUNCT
cana-638	129	20	and	and	CCONJ
cana-638	129	21	it	it	PRON
cana-638	129	22	removes	remove	VERB
cana-638	129	23	the	the	DET
cana-638	129	24	hidden	hide	VERB
cana-638	129	25	structure	structure	NOUN
cana-638	129	26	from	from	ADP
cana-638	129	27	the	the	DET
cana-638	129	28	words	word	NOUN
cana-638	129	29	or	or	CCONJ
cana-638	129	30	sentences	sentence	NOUN
cana-638	129	31	.	.	PUNCT
cana-638	130	1	the	the	DET
cana-638	130	2	lsa	lsa	NOUN
cana-638	130	3	was	be	AUX
cana-638	130	4	also	also	ADV
cana-638	130	5	known	know	VERB
cana-638	130	6	as	as	ADP
cana-638	130	7	singular	singular	ADJ
cana-638	130	8	value	value	NOUN
cana-638	130	9	decomposition	decomposition	NOUN
cana-638	130	10	(	(	PUNCT
cana-638	130	11	svd	svd	PROPN
cana-638	130	12	)	)	PUNCT
cana-638	130	13	introduced	introduce	VERB
cana-638	130	14	.	.	PUNCT
cana-638	131	1	it	it	PRON
cana-638	131	2	identifies	identify	VERB
cana-638	131	3	the	the	DET
cana-638	131	4	unstructured	unstructured	ADJ
cana-638	131	5	data	datum	NOUN
cana-638	131	6	hidden	hide	VERB
cana-638	131	7	in	in	ADP
cana-638	131	8	the	the	DET
cana-638	131	9	input	input	NOUN
cana-638	131	10	document	document	NOUN
cana-638	131	11	and	and	CCONJ
cana-638	131	12	identifies	identify	VERB
cana-638	131	13	the	the	DET
cana-638	131	14	relationship	relationship	NOUN
cana-638	131	15	between	between	ADP
cana-638	131	16	the	the	DET
cana-638	131	17	words	word	NOUN
cana-638	131	18	or	or	CCONJ
cana-638	131	19	sentences	sentence	NOUN
cana-638	131	20	.	.	PUNCT
cana-638	132	1	svd	svd	PROPN
cana-638	132	2	has	have	AUX
cana-638	132	3	able	able	ADJ
cana-638	132	4	to	to	PART
cana-638	132	5	reduce	reduce	VERB
cana-638	132	6	noise	noise	NOUN
cana-638	132	7	and	and	CCONJ
cana-638	132	8	increase	increase	VERB
cana-638	132	9	efficiency	efficiency	NOUN
cana-638	132	10	.	.	PUNCT
cana-638	133	1	lsa	lsa	NOUN
cana-638	133	2	undertakes	undertake	VERB
cana-638	133	3	the	the	DET
cana-638	133	4	words	word	NOUN
cana-638	133	5	were	be	AUX
cana-638	133	6	nearer	nearer	ADJ
cana-638	133	7	to	to	ADP
cana-638	133	8	the	the	DET
cana-638	133	9	meaning	meaning	NOUN
cana-638	133	10	and	and	CCONJ
cana-638	133	11	occurs	occur	VERB
cana-638	133	12	in	in	ADP
cana-638	133	13	similar	similar	ADJ
cana-638	133	14	pieces	piece	NOUN
cana-638	133	15	of	of	ADP
cana-638	133	16	text	text	NOUN
cana-638	133	17	.	.	PUNCT
cana-638	134	1	svd	svd	PROPN
cana-638	134	2	is	be	AUX
cana-638	134	3	used	use	VERB
cana-638	134	4	to	to	PART
cana-638	134	5	perform	perform	VERB
cana-638	134	6	the	the	DET
cana-638	134	7	mathematical	mathematical	ADJ
cana-638	134	8	technique	technique	NOUN
cana-638	134	9	in	in	ADP
cana-638	134	10	lsa	lsa	NOUN
cana-638	134	11	to	to	PART
cana-638	134	12	optimize	optimize	VERB
cana-638	134	13	the	the	DET
cana-638	134	14	length	length	NOUN
cana-638	134	15	of	of	ADP
cana-638	134	16	the	the	DET
cana-638	134	17	text	text	NOUN
cana-638	134	18	.	.	PUNCT
cana-638	135	1	the	the	DET
cana-638	135	2	lsa	lsa	NOUN
cana-638	135	3	consists	consist	VERB
cana-638	135	4	of	of	ADP
cana-638	135	5	four	four	NUM
cana-638	135	6	main	main	ADJ
cana-638	135	7	steps	step	NOUN
cana-638	135	8	which	which	PRON
cana-638	135	9	are	be	AUX
cana-638	135	10	described	describe	VERB
cana-638	135	11	below	below	ADP
cana-638	135	12	.	.	PUNCT
cana-638	136	1	•	•	NUM
cana-638	136	2	term	term	NOUN
cana-638	136	3	document	document	NOUN
cana-638	136	4	matrix	matrix	NOUN
cana-638	136	5	is	be	AUX
cana-638	136	6	a	a	DET
cana-638	136	7	collection	collection	NOUN
cana-638	136	8	of	of	ADP
cana-638	136	9	large	large	ADJ
cana-638	136	10	text	text	NOUN
cana-638	136	11	have	have	AUX
cana-638	136	12	detached	detach	VERB
cana-638	136	13	words	word	NOUN
cana-638	136	14	into	into	ADP
cana-638	136	15	smaller	small	ADJ
cana-638	136	16	units	unit	NOUN
cana-638	136	17	of	of	ADP
cana-638	136	18	passage	passage	NOUN
cana-638	136	19	or	or	CCONJ
cana-638	136	20	sentence	sentence	NOUN
cana-638	136	21	for	for	ADP
cana-638	136	22	each	each	DET
cana-638	136	23	application	application	NOUN
cana-638	136	24	.	.	PUNCT
cana-638	137	1	•	•	NUM
cana-638	137	2	transformed	transform	VERB
cana-638	137	3	term	term	NOUN
cana-638	137	4	document	document	NOUN
cana-638	137	5	matrix	matrix	NOUN
cana-638	137	6	as	as	ADP
cana-638	137	7	a	a	DET
cana-638	137	8	replacement	replacement	NOUN
cana-638	137	9	of	of	ADP
cana-638	137	10	operational	operational	ADJ
cana-638	137	11	with	with	ADP
cana-638	137	12	the	the	DET
cana-638	137	13	rare	rare	ADJ
cana-638	137	14	term	term	NOUN
cana-638	137	15	frequency	frequency	NOUN
cana-638	137	16	,	,	PUNCT
cana-638	137	17	the	the	DET
cana-638	137	18	accesses	access	NOUN
cana-638	137	19	of	of	ADP
cana-638	137	20	term	term	NOUN
cana-638	137	21	document	document	NOUN
cana-638	137	22	matrix	matrix	NOUN
cana-638	137	23	were	be	AUX
cana-638	137	24	often	often	ADV
cana-638	137	25	changed	change	VERB
cana-638	137	26	.	.	PUNCT
cana-638	138	1	hence	hence	ADV
cana-638	138	2	,	,	PUNCT
cana-638	138	3	it	it	PRON
cana-638	138	4	obtains	obtain	VERB
cana-638	138	5	the	the	DET
cana-638	138	6	frequency	frequency	NOUN
cana-638	138	7	in	in	ADP
cana-638	138	8	a	a	DET
cana-638	138	9	sub	sub	NOUN
cana-638	138	10	linear	linear	ADJ
cana-638	138	11	fashion	fashion	NOUN
cana-638	138	12	,	,	PUNCT
cana-638	138	13	log	log	NOUN
cana-638	138	14	(	(	PUNCT
cana-638	138	15	𝑓𝑟𝑞𝑖𝑗	𝑓𝑟𝑞𝑖𝑗	NOUN
cana-638	138	16	+	+	NOUN
cana-638	138	17	1	1	NUM
cana-638	138	18	)	)	PUNCT
cana-638	138	19	.	.	PUNCT
cana-638	139	1	•	•	NUM
cana-638	139	2	dimension	dimension	NOUN
cana-638	139	3	reduction	reduction	NOUN
cana-638	139	4	it	it	PRON
cana-638	139	5	reduces	reduce	VERB
cana-638	139	6	the	the	DET
cana-638	139	7	rank	rank	NOUN
cana-638	139	8	of	of	ADP
cana-638	139	9	the	the	DET
cana-638	139	10	matrix	matrix	NOUN
cana-638	139	11	by	by	ADP
cana-638	139	12	using	use	VERB
cana-638	139	13	svd	svd	PROPN
cana-638	139	14	.	.	PUNCT
cana-638	139	15	assume	assume	VERB
cana-638	139	16	that	that	SCONJ
cana-638	139	17	l	l	NOUN
cana-638	139	18	is	be	AUX
cana-638	139	19	taken	take	VERB
cana-638	139	20	as	as	ADP
cana-638	139	21	the	the	DET
cana-638	139	22	largest	large	ADJ
cana-638	139	23	singular	singular	ADJ
cana-638	139	24	value	value	NOUN
cana-638	139	25	and	and	CCONJ
cana-638	139	26	the	the	DET
cana-638	139	27	remainder	remainder	NOUN
cana-638	139	28	is	be	AUX
cana-638	139	29	set	set	VERB
cana-638	139	30	to	to	ADP
cana-638	139	31	zero	zero	NUM
cana-638	139	32	.	.	PUNCT
cana-638	140	1	the	the	DET
cana-638	140	2	svd	svd	PROPN
cana-638	140	3	technique	technique	NOUN
cana-638	140	4	is	be	AUX
cana-638	140	5	also	also	ADV
cana-638	140	6	closely	closely	ADV
cana-638	140	7	interrelated	interrelate	VERB
cana-638	140	8	with	with	ADP
cana-638	140	9	some	some	DET
cana-638	140	10	features	feature	NOUN
cana-638	140	11	such	such	ADJ
cana-638	140	12	as	as	ADP
cana-638	140	13	eigen	eigen	PROPN
cana-638	140	14	analysis	analysis	NOUN
cana-638	140	15	,	,	PUNCT
cana-638	140	16	factor	factor	NOUN
cana-638	140	17	analysis	analysis	NOUN
cana-638	140	18	,	,	PUNCT
cana-638	140	19	principal	principal	ADJ
cana-638	140	20	components	component	NOUN
cana-638	140	21	analysis	analysis	NOUN
cana-638	140	22	,	,	PUNCT
cana-638	140	23	and	and	CCONJ
cana-638	140	24	linear	linear	ADJ
cana-638	140	25	neural	neural	ADJ
cana-638	140	26	networks	network	NOUN
cana-638	140	27	.	.	PUNCT
cana-638	141	1	communications	communication	NOUN
cana-638	141	2	on	on	ADP
cana-638	141	3	applied	apply	VERB
cana-638	141	4	nonlinear	nonlinear	ADJ
cana-638	141	5	analysis	analysis	NOUN
cana-638	141	6	issn	issn	NOUN
cana-638	141	7	:	:	PUNCT
cana-638	141	8	1074	1074	NUM
cana-638	141	9	-	-	PUNCT
cana-638	141	10	133x	133x	NUM
cana-638	141	11	vol	vol	NOUN
cana-638	141	12	31	31	NUM
cana-638	141	13	no	no	NOUN
cana-638	141	14	.	.	PUNCT
cana-638	142	1	2s	2s	NUM
cana-638	142	2	(	(	PUNCT
cana-638	142	3	2024	2024	NUM
cana-638	142	4	)	)	PUNCT
cana-638	142	5	239	239	NUM
cana-638	142	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-638	142	7	•	•	NOUN
cana-638	142	8	retrieval	retrieval	NOUN
cana-638	142	9	in	in	ADP
cana-638	142	10	reduced	reduced	ADJ
cana-638	142	11	space	space	NOUN
cana-638	142	12	it	it	PRON
cana-638	142	13	is	be	AUX
cana-638	142	14	used	use	VERB
cana-638	142	15	to	to	PART
cana-638	142	16	reduce	reduce	VERB
cana-638	142	17	the	the	DET
cana-638	142	18	space	space	NOUN
cana-638	142	19	in	in	ADP
cana-638	142	20	term	term	NOUN
cana-638	142	21	-	-	PUNCT
cana-638	142	22	document	document	NOUN
cana-638	142	23	matrix	matrix	NOUN
cana-638	142	24	.	.	PUNCT
cana-638	143	1	for	for	ADP
cana-638	143	2	example	example	NOUN
cana-638	143	3	;	;	PUNCT
cana-638	143	4	document	document	NOUN
cana-638	143	5	,	,	PUNCT
cana-638	143	6	term	term	NOUN
cana-638	143	7	,	,	PUNCT
cana-638	143	8	document	document	NOUN
cana-638	143	9	term	term	NOUN
cana-638	143	10	these	these	DET
cana-638	143	11	words	word	NOUN
cana-638	143	12	represented	represent	VERB
cana-638	143	13	in	in	ADP
cana-638	143	14	the	the	DET
cana-638	143	15	same	same	ADJ
cana-638	143	16	space	space	NOUN
cana-638	143	17	so	so	SCONJ
cana-638	143	18	they	they	PRON
cana-638	143	19	need	need	VERB
cana-638	143	20	to	to	PART
cana-638	143	21	compute	compute	VERB
cana-638	143	22	.	.	PUNCT
cana-638	144	1	the	the	DET
cana-638	144	2	matrix	matrix	NOUN
cana-638	144	3	of	of	ADP
cana-638	144	4	svd	svd	PROPN
cana-638	144	5	was	be	AUX
cana-638	144	6	represented	represent	VERB
cana-638	144	7	as	as	ADP
cana-638	144	8	x.	x.	NOUN
cana-638	144	9	the	the	DET
cana-638	144	10	mathematical	mathematical	ADJ
cana-638	144	11	view	view	NOUN
cana-638	144	12	of	of	ADP
cana-638	144	13	lsa	lsa	NOUN
cana-638	144	14	is	be	AUX
cana-638	144	15	detailed	detail	VERB
cana-638	144	16	as	as	ADP
cana-638	144	17	follow	follow	NOUN
cana-638	144	18	.	.	PUNCT
cana-638	145	1	𝑋	𝑋	NOUN
cana-638	145	2	=	=	SYM
cana-638	145	3	𝑇∗𝑆∗𝐷𝑇--------(1	𝑇∗𝑆∗𝐷𝑇--------(1	X
cana-638	145	4	)	)	PUNCT
cana-638	145	5	where	where	SCONJ
cana-638	145	6	t	t	NOUN
cana-638	145	7	*	*	PUNCT
cana-638	145	8	and	and	CCONJ
cana-638	145	9	s	s	NOUN
cana-638	145	10	*	*	NOUN
cana-638	145	11	are	be	AUX
cana-638	145	12	represented	represent	VERB
cana-638	145	13	as	as	ADP
cana-638	145	14	an	an	DET
cana-638	145	15	orthonormal	orthonormal	ADJ
cana-638	145	16	matrix	matrix	NOUN
cana-638	145	17	,	,	PUNCT
cana-638	145	18	dt	dt	PUNCT
cana-638	145	19	was	be	AUX
cana-638	145	20	represented	represent	VERB
cana-638	145	21	as	as	ADP
cana-638	145	22	a	a	DET
cana-638	145	23	diagonal	diagonal	ADJ
cana-638	145	24	matrix	matrix	NOUN
cana-638	145	25	.	.	PUNCT
cana-638	146	1	the	the	DET
cana-638	146	2	problematic	problematic	ADJ
cana-638	146	3	representation	representation	NOUN
cana-638	146	4	of	of	ADP
cana-638	146	5	x	x	PRON
cana-638	146	6	was	be	AUX
cana-638	146	7	using	use	VERB
cana-638	146	8	orthogonal	orthogonal	ADJ
cana-638	146	9	dimension	dimension	NOUN
cana-638	146	10	.	.	PUNCT
cana-638	147	1	the	the	DET
cana-638	147	2	svd	svd	PROPN
cana-638	147	3	uses	use	VERB
cana-638	147	4	the	the	DET
cana-638	147	5	largest	large	ADJ
cana-638	147	6	l	l	NOUN
cana-638	147	7	singular	singular	ADJ
cana-638	147	8	value	value	NOUN
cana-638	147	9	to	to	PART
cana-638	147	10	optimize	optimize	VERB
cana-638	147	11	the	the	DET
cana-638	147	12	dimensions	dimension	NOUN
cana-638	147	13	was	be	AUX
cana-638	147	14	used	use	VERB
cana-638	147	15	in	in	ADP
cana-638	147	16	lsa	lsa	NOUN
cana-638	147	17	.	.	PUNCT
cana-638	148	1	𝑋	𝑋	NOUN
cana-638	148	2	=	=	SYM
cana-638	148	3	𝑇𝐿	𝑇𝐿	PROPN
cana-638	148	4	∗𝑆𝐿	∗𝑆𝐿	PROPN
cana-638	148	5	∗𝐷𝐿	∗𝐷𝐿	PROPN
cana-638	148	6	∗--------(2	∗--------(2	NOUN
cana-638	148	7	)	)	PUNCT
cana-638	148	8	where	where	SCONJ
cana-638	148	9	,	,	PUNCT
cana-638	148	10	tl	tl	PROPN
cana-638	148	11	term	term	NOUN
cana-638	148	12	vectors	vector	NOUN
cana-638	148	13	in	in	ADP
cana-638	148	14	lsa	lsa	PROPN
cana-638	148	15	,	,	PUNCT
cana-638	148	16	dk	dk	PROPN
cana-638	148	17	document	document	NOUN
cana-638	148	18	vectors	vector	NOUN
cana-638	148	19	in	in	ADP
cana-638	148	20	lsa	lsa	PROPN
cana-638	148	21	.	.	PUNCT
cana-638	149	1	independent	independent	ADJ
cana-638	149	2	component	component	NOUN
cana-638	149	3	analysis	analysis	NOUN
cana-638	149	4	(	(	PUNCT
cana-638	149	5	ica	ica	PROPN
cana-638	149	6	)	)	PUNCT
cana-638	149	7	the	the	DET
cana-638	149	8	aim	aim	NOUN
cana-638	149	9	of	of	ADP
cana-638	149	10	ica	ica	PROPN
cana-638	149	11	is	be	AUX
cana-638	149	12	used	use	VERB
cana-638	149	13	to	to	PART
cana-638	149	14	identify	identify	VERB
cana-638	149	15	the	the	DET
cana-638	149	16	missing	miss	VERB
cana-638	149	17	text	text	NOUN
cana-638	149	18	and	and	CCONJ
cana-638	149	19	valuable	valuable	ADJ
cana-638	149	20	information	information	NOUN
cana-638	149	21	from	from	ADP
cana-638	149	22	the	the	DET
cana-638	149	23	input	input	NOUN
cana-638	149	24	document	document	NOUN
cana-638	149	25	.	.	PUNCT
cana-638	150	1	the	the	DET
cana-638	150	2	ica	ica	PROPN
cana-638	150	3	is	be	AUX
cana-638	150	4	used	use	VERB
cana-638	150	5	to	to	PART
cana-638	150	6	separate	separate	VERB
cana-638	150	7	the	the	DET
cana-638	150	8	neural	neural	ADJ
cana-638	150	9	method	method	NOUN
cana-638	150	10	words	word	NOUN
cana-638	150	11	;	;	PUNCT
cana-638	150	12	were	be	AUX
cana-638	150	13	varied	varied	ADJ
cana-638	150	14	in	in	ADP
cana-638	150	15	an	an	DET
cana-638	150	16	unidentified	unidentified	ADJ
cana-638	150	17	way	way	NOUN
cana-638	150	18	.	.	PUNCT
cana-638	151	1	the	the	DET
cana-638	151	2	ica	ica	PROPN
cana-638	151	3	also	also	ADV
cana-638	151	4	includes	include	VERB
cana-638	151	5	linear	linear	ADJ
cana-638	151	6	transformation	transformation	NOUN
cana-638	151	7	methods	method	NOUN
cana-638	151	8	such	such	ADJ
cana-638	151	9	as	as	ADP
cana-638	151	10	principal	principal	ADJ
cana-638	151	11	component	component	NOUN
cana-638	151	12	analysis	analysis	NOUN
cana-638	151	13	,	,	PUNCT
cana-638	151	14	factor	factor	NOUN
cana-638	151	15	analysis	analysis	NOUN
cana-638	151	16	,	,	PUNCT
cana-638	151	17	and	and	CCONJ
cana-638	151	18	projection	projection	NOUN
cana-638	151	19	pursuit	pursuit	NOUN
cana-638	151	20	.	.	PUNCT
cana-638	152	1	the	the	DET
cana-638	152	2	problematic	problematic	ADJ
cana-638	152	3	description	description	NOUN
cana-638	152	4	of	of	ADP
cana-638	152	5	ica	ica	PROPN
cana-638	152	6	was	be	AUX
cana-638	152	7	detected	detect	VERB
cana-638	152	8	in	in	ADP
cana-638	152	9	two	two	NUM
cana-638	152	10	forms	form	NOUN
cana-638	152	11	defined	define	VERB
cana-638	152	12	in	in	ADP
cana-638	152	13	equation	equation	NOUN
cana-638	152	14	(	(	PUNCT
cana-638	152	15	3	3	NUM
cana-638	152	16	)	)	PUNCT
cana-638	152	17	.	.	PUNCT
cana-638	153	1	𝑥1(𝑡	𝑥1(𝑡	X
cana-638	153	2	)	)	PUNCT
cana-638	153	3	=	=	SYM
cana-638	153	4	𝑎11𝑠1	𝑎11𝑠1	NUM
cana-638	153	5	+	+	CCONJ
cana-638	153	6	𝑎12𝑠2	𝑎12𝑠2	ADV
cana-638	153	7	-	-	PUNCT
cana-638	153	8	-------(3	-------(3	NOUN
cana-638	153	9	)	)	PUNCT
cana-638	154	1	𝑥2(𝑡	𝑥2(𝑡	NOUN
cana-638	154	2	)	)	PUNCT
cana-638	154	3	=	=	SYM
cana-638	154	4	𝑎21𝑠1	𝑎21𝑠1	PROPN
cana-638	154	5	+	+	CCONJ
cana-638	154	6	𝑎22𝑠2	𝑎22𝑠2	PROPN
cana-638	154	7	-	-	PUNCT
cana-638	154	8	-------(4	-------(4	ADJ
cana-638	154	9	)	)	PUNCT
cana-638	154	10	where	where	SCONJ
cana-638	154	11	,	,	PUNCT
cana-638	154	12	𝑎11	𝑎11	PROPN
cana-638	154	13	,	,	PUNCT
cana-638	154	14	𝑎12	𝑎12	NOUN
cana-638	154	15	,	,	PUNCT
cana-638	154	16	𝑎21	𝑎21	NOUN
cana-638	154	17	and	and	CCONJ
cana-638	154	18	𝑎22	𝑎22	NOUN
cana-638	154	19	are	be	AUX
cana-638	154	20	some	some	PRON
cana-638	154	21	of	of	ADP
cana-638	154	22	the	the	DET
cana-638	154	23	parameters	parameter	NOUN
cana-638	154	24	to	to	PART
cana-638	154	25	find	find	VERB
cana-638	154	26	the	the	DET
cana-638	154	27	distance	distance	NOUN
cana-638	154	28	of	of	ADP
cana-638	154	29	the	the	DET
cana-638	154	30	signal	signal	NOUN
cana-638	154	31	.	.	PUNCT
cana-638	155	1	and	and	CCONJ
cana-638	155	2	are	be	AUX
cana-638	155	3	used	use	VERB
cana-638	155	4	to	to	PART
cana-638	155	5	estimate	estimate	VERB
cana-638	155	6	the	the	DET
cana-638	155	7	duplicate	duplicate	ADJ
cana-638	155	8	text	text	NOUN
cana-638	155	9	,	,	PUNCT
cana-638	155	10	𝑠1	𝑠1	PROPN
cana-638	155	11	(	(	PUNCT
cana-638	155	12	𝑡	𝑡	NOUN
cana-638	155	13	)	)	PUNCT
cana-638	155	14	and	and	CCONJ
cana-638	155	15	𝑠2	𝑠2	NOUN
cana-638	155	16	(	(	PUNCT
cana-638	155	17	𝑡	𝑡	NOUN
cana-638	155	18	)	)	PUNCT
cana-638	155	19	estimate	estimate	VERB
cana-638	155	20	original	original	ADJ
cana-638	155	21	text	text	NOUN
cana-638	155	22	.	.	PUNCT
cana-638	156	1	the	the	DET
cana-638	156	2	matrix	matrix	NOUN
cana-638	156	3	of	of	ADP
cana-638	156	4	ica	ica	PROPN
cana-638	156	5	is	be	AUX
cana-638	156	6	denoted	denote	VERB
cana-638	156	7	as	as	ADP
cana-638	156	8	a.	a.	NOUN
cana-638	156	9	here	here	ADV
cana-638	156	10	the	the	DET
cana-638	156	11	lower	low	ADJ
cana-638	156	12	case	case	NOUN
cana-638	156	13	of	of	ADP
cana-638	156	14	bold	bold	ADJ
cana-638	156	15	letters	letter	NOUN
cana-638	156	16	indicates	indicate	VERB
cana-638	156	17	vector	vector	NOUN
cana-638	156	18	and	and	CCONJ
cana-638	156	19	upper	upper	ADJ
cana-638	156	20	case	case	NOUN
cana-638	156	21	bold	bold	ADJ
cana-638	156	22	letters	letter	NOUN
cana-638	156	23	indicate	indicate	VERB
cana-638	156	24	matrix	matrix	NOUN
cana-638	156	25	.	.	PUNCT
cana-638	157	1	𝑋	𝑋	NOUN
cana-638	157	2	=	=	PUNCT
cana-638	157	3	𝐴𝑠--------(5	𝐴𝑠--------(5	PROPN
cana-638	157	4	)	)	PUNCT
cana-638	157	5	"	"	PUNCT
cana-638	157	6	a	a	PRON
cana-638	157	7	"	"	PUNCT
cana-638	157	8	is	be	AUX
cana-638	157	9	the	the	DET
cana-638	157	10	column	column	NOUN
cana-638	157	11	of	of	ADP
cana-638	157	12	a	a	DET
cana-638	157	13	matrix	matrix	NOUN
cana-638	157	14	.	.	PUNCT
cana-638	158	1	sometimes	sometimes	ADV
cana-638	158	2	the	the	DET
cana-638	158	3	matrix	matrix	NOUN
cana-638	158	4	is	be	AUX
cana-638	158	5	denoted	denote	VERB
cana-638	158	6	as	as	ADP
cana-638	158	7	𝑎𝑗	𝑎𝑗	PROPN
cana-638	158	8	and	and	CCONJ
cana-638	158	9	the	the	DET
cana-638	158	10	model	model	NOUN
cana-638	158	11	is	be	AUX
cana-638	158	12	rewritten	rewrite	VERB
cana-638	158	13	as	as	ADP
cana-638	158	14	equation	equation	NOUN
cana-638	158	15	(	(	PUNCT
cana-638	158	16	6	6	NUM
cana-638	158	17	)	)	PUNCT
cana-638	159	1	𝑥	𝑥	NOUN
cana-638	160	1	=	=	PUNCT
cana-638	160	2	∑	∑	PROPN
cana-638	160	3	𝑎𝑗𝑠𝑗	𝑎𝑗𝑠𝑗	X
cana-638	160	4	𝑛	𝑛	X
cana-638	160	5	𝑖=1	𝑖=1	PROPN
cana-638	160	6	--------(6	--------(6	PROPN
cana-638	160	7	)	)	PUNCT
cana-638	160	8	the	the	DET
cana-638	160	9	ica	ica	PROPN
cana-638	160	10	is	be	AUX
cana-638	160	11	a	a	DET
cana-638	160	12	generative	generative	ADJ
cana-638	160	13	model	model	NOUN
cana-638	160	14	in	in	ADP
cana-638	160	15	which	which	PRON
cana-638	160	16	the	the	DET
cana-638	160	17	data	datum	NOUN
cana-638	160	18	were	be	AUX
cana-638	160	19	generated	generate	VERB
cana-638	160	20	with	with	ADP
cana-638	160	21	the	the	DET
cana-638	160	22	mixing	mix	VERB
cana-638	160	23	components	component	NOUN
cana-638	160	24	of	of	ADP
cana-638	160	25	𝑠𝑗.	𝑠𝑗.	NOUN
cana-638	160	26	lexicon	lexicon	NOUN
cana-638	160	27	-	-	PUNCT
cana-638	160	28	based	base	VERB
cana-638	160	29	feature	feature	NOUN
cana-638	160	30	extraction	extraction	NOUN
cana-638	160	31	in	in	ADP
cana-638	160	32	this	this	DET
cana-638	160	33	section	section	NOUN
cana-638	160	34	,	,	PUNCT
cana-638	160	35	the	the	DET
cana-638	160	36	information	information	NOUN
cana-638	160	37	about	about	ADP
cana-638	160	38	the	the	DET
cana-638	160	39	domain	domain	NOUN
cana-638	160	40	specific	specific	ADJ
cana-638	160	41	emotion	emotion	NOUN
cana-638	160	42	lexicon	lexicon	NOUN
cana-638	160	43	(	(	PUNCT
cana-638	160	44	dsel	dsel	PROPN
cana-638	160	45	)	)	PUNCT
cana-638	160	46	that	that	PRON
cana-638	160	47	is	be	AUX
cana-638	160	48	used	use	VERB
cana-638	160	49	for	for	ADP
cana-638	160	50	extracting	extract	VERB
cana-638	160	51	the	the	DET
cana-638	160	52	range	range	NOUN
cana-638	160	53	of	of	ADP
cana-638	160	54	features	feature	NOUN
cana-638	160	55	suitable	suitable	ADJ
cana-638	160	56	for	for	ADP
cana-638	160	57	emotion	emotion	NOUN
cana-638	160	58	classification	classification	NOUN
cana-638	160	59	is	be	AUX
cana-638	160	60	discussed	discuss	VERB
cana-638	160	61	.	.	PUNCT
cana-638	161	1	the	the	DET
cana-638	161	2	feature	feature	NOUN
cana-638	161	3	vectors	vector	NOUN
cana-638	161	4	that	that	PRON
cana-638	161	5	are	be	AUX
cana-638	161	6	obtained	obtain	VERB
cana-638	161	7	using	use	VERB
cana-638	161	8	the	the	DET
cana-638	161	9	lexicon	lexicon	ADJ
cana-638	161	10	knowledge	knowledge	NOUN
cana-638	161	11	are	be	AUX
cana-638	161	12	mostly	mostly	ADV
cana-638	161	13	of	of	ADP
cana-638	161	14	length	length	NOUN
cana-638	161	15	|e|	|e|	PROPN
cana-638	161	16	,	,	PUNCT
cana-638	161	17	where	where	SCONJ
cana-638	161	18	|e|	|e|	PRON
cana-638	161	19	indicates	indicate	VERB
cana-638	161	20	the	the	DET
cana-638	161	21	total	total	ADJ
cana-638	161	22	number	number	NOUN
cana-638	161	23	of	of	ADP
cana-638	161	24	emotion	emotion	NOUN
cana-638	161	25	classes	class	NOUN
cana-638	161	26	present	present	ADJ
cana-638	161	27	in	in	ADP
cana-638	161	28	the	the	DET
cana-638	161	29	available	available	ADJ
cana-638	161	30	dataset	dataset	NOUN
cana-638	161	31	.	.	PUNCT
cana-638	162	1	the	the	DET
cana-638	162	2	following	follow	VERB
cana-638	162	3	features	feature	NOUN
cana-638	162	4	are	be	AUX
cana-638	162	5	considered	consider	VERB
cana-638	162	6	to	to	PART
cana-638	162	7	represent	represent	VERB
cana-638	162	8	the	the	DET
cana-638	162	9	emotions	emotion	NOUN
cana-638	162	10	in	in	ADP
cana-638	162	11	the	the	DET
cana-638	162	12	document	document	NOUN
cana-638	162	13	.	.	PUNCT
cana-638	163	1	communications	communication	NOUN
cana-638	163	2	on	on	ADP
cana-638	163	3	applied	apply	VERB
cana-638	163	4	nonlinear	nonlinear	ADJ
cana-638	163	5	analysis	analysis	NOUN
cana-638	163	6	issn	issn	NOUN
cana-638	163	7	:	:	PUNCT
cana-638	163	8	1074	1074	NUM
cana-638	163	9	-	-	PUNCT
cana-638	163	10	133x	133x	NUM
cana-638	163	11	vol	vol	NOUN
cana-638	163	12	31	31	NUM
cana-638	163	13	no	no	NOUN
cana-638	163	14	.	.	PUNCT
cana-638	164	1	2s	2s	NUM
cana-638	164	2	(	(	PUNCT
cana-638	164	3	2024	2024	NUM
cana-638	164	4	)	)	PUNCT
cana-638	164	5	240	240	NUM
cana-638	164	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	164	7	total	total	ADJ
cana-638	164	8	emotion	emotion	NOUN
cana-638	164	9	count	count	NOUN
cana-638	164	10	(	(	PUNCT
cana-638	164	11	tec	tec	ADJ
cana-638	164	12	)	)	PUNCT
cana-638	164	13	it	it	PRON
cana-638	164	14	is	be	AUX
cana-638	164	15	a	a	DET
cana-638	164	16	kind	kind	NOUN
cana-638	164	17	of	of	ADP
cana-638	164	18	feature	feature	NOUN
cana-638	164	19	extraction	extraction	NOUN
cana-638	164	20	that	that	PRON
cana-638	164	21	captures	capture	VERB
cana-638	164	22	the	the	DET
cana-638	164	23	emotion	emotion	NOUN
cana-638	164	24	-	-	PUNCT
cana-638	164	25	based	base	VERB
cana-638	164	26	words	word	NOUN
cana-638	164	27	from	from	ADP
cana-638	164	28	the	the	DET
cana-638	164	29	document	document	NOUN
cana-638	164	30	.	.	PUNCT
cana-638	165	1	the	the	DET
cana-638	165	2	feature	feature	NOUN
cana-638	165	3	vector	vector	NOUN
cana-638	165	4	corresponding	correspond	VERB
cana-638	165	5	to	to	ADP
cana-638	165	6	the	the	DET
cana-638	165	7	word	word	NOUN
cana-638	165	8	in	in	ADP
cana-638	165	9	the	the	DET
cana-638	165	10	given	give	VERB
cana-638	165	11	document	document	NOUN
cana-638	165	12	is	be	AUX
cana-638	165	13	represented	represent	VERB
cana-638	165	14	as	as	ADP
cana-638	165	15	𝑑𝑇𝐸𝐶.	𝑑𝑇𝐸𝐶.	NOUN
cana-638	165	16	for	for	ADP
cana-638	165	17	emotion	emotion	NOUN
cana-638	165	18	j	j	PROPN
cana-638	165	19	,	,	PUNCT
cana-638	165	20	the	the	DET
cana-638	165	21	feature	feature	NOUN
cana-638	165	22	value	value	NOUN
cana-638	165	23	is	be	AUX
cana-638	165	24	computed	compute	VERB
cana-638	165	25	using	use	VERB
cana-638	165	26	equation	equation	NOUN
cana-638	165	27	(	(	PUNCT
cana-638	165	28	7	7	NUM
cana-638	165	29	)	)	PUNCT
cana-638	165	30	.	.	PUNCT
cana-638	166	1	𝑑𝑇𝐸𝐶[𝑒𝑗	𝑑𝑇𝐸𝐶[𝑒𝑗	PROPN
cana-638	166	2	]	]	X
cana-638	167	1	=	=	PUNCT
cana-638	167	2	∑	∑	PUNCT
cana-638	167	3	𝐼𝜔𝜀	𝐼𝜔𝜀	PROPN
cana-638	167	4	(	(	PUNCT
cana-638	167	5	𝑒𝑗	𝑒𝑗	NOUN
cana-638	167	6	=	=	SYM
cana-638	167	7	𝑎𝑟𝑔𝑚𝑎𝑥𝐿𝑒𝑥𝑘(𝑤	𝑎𝑟𝑔𝑚𝑎𝑥𝐿𝑒𝑥𝑘(𝑤	PROPN
cana-638	167	8	,	,	PUNCT
cana-638	167	9	𝑘	𝑘	NOUN
cana-638	167	10	)	)	PUNCT
cana-638	167	11	×	×	PROPN
cana-638	167	12	𝑐𝑜𝑛𝑡(𝑤	𝑐𝑜𝑛𝑡(𝑤	PROPN
cana-638	167	13	,	,	PUNCT
cana-638	167	14	𝑑)--------(7	𝑑)--------(7	X
cana-638	167	15	)	)	PUNCT
cana-638	167	16	the	the	DET
cana-638	167	17	indicator	indicator	NOUN
cana-638	167	18	function	function	NOUN
cana-638	167	19	which	which	PRON
cana-638	167	20	is	be	AUX
cana-638	167	21	set	set	VERB
cana-638	167	22	as	as	ADP
cana-638	167	23	either	either	CCONJ
cana-638	167	24	0	0	NUM
cana-638	167	25	or	or	CCONJ
cana-638	167	26	1	1	NUM
cana-638	167	27	(	(	PUNCT
cana-638	167	28	for	for	ADP
cana-638	167	29	true	true	ADJ
cana-638	167	30	or	or	CCONJ
cana-638	167	31	false	false	ADJ
cana-638	167	32	arguments	argument	NOUN
cana-638	167	33	)	)	PUNCT
cana-638	167	34	.	.	PUNCT
cana-638	168	1	the	the	DET
cana-638	168	2	total	total	ADJ
cana-638	168	3	number	number	NOUN
cana-638	168	4	of	of	ADP
cana-638	168	5	times	time	NOUN
cana-638	168	6	the	the	DET
cana-638	168	7	word	word	NOUN
cana-638	168	8	w	w	NOUN
cana-638	168	9	occurred	occur	VERB
cana-638	168	10	in	in	ADP
cana-638	168	11	document	document	NOUN
cana-638	168	12	d	d	NOUN
cana-638	168	13	is	be	AUX
cana-638	168	14	represented	represent	VERB
cana-638	168	15	as	as	ADP
cana-638	168	16	count	count	NOUN
cana-638	168	17	(	(	PUNCT
cana-638	168	18	w	w	PROPN
cana-638	168	19	,	,	PUNCT
cana-638	168	20	d	d	NOUN
cana-638	168	21	)	)	PUNCT
cana-638	168	22	.	.	PUNCT
cana-638	169	1	tec	tec	PROPN
cana-638	169	2	captures	capture	VERB
cana-638	169	3	the	the	DET
cana-638	169	4	features	feature	NOUN
cana-638	169	5	that	that	PRON
cana-638	169	6	are	be	AUX
cana-638	169	7	suggested	suggest	VERB
cana-638	169	8	by	by	ADP
cana-638	169	9	the	the	DET
cana-638	169	10	lexicon	lexicon	NOUN
cana-638	169	11	alone	alone	ADV
cana-638	169	12	(	(	PUNCT
cana-638	169	13	i.e.	i.e.	X
cana-638	169	14	,	,	PUNCT
cana-638	169	15	the	the	DET
cana-638	169	16	features	feature	NOUN
cana-638	169	17	showing	show	VERB
cana-638	169	18	the	the	DET
cana-638	169	19	highest	high	ADJ
cana-638	169	20	value	value	NOUN
cana-638	169	21	in	in	ADP
cana-638	169	22	the	the	DET
cana-638	169	23	lexicon	lexicon	NOUN
cana-638	169	24	)	)	PUNCT
cana-638	169	25	.	.	PUNCT
cana-638	170	1	however	however	ADV
cana-638	170	2	,	,	PUNCT
cana-638	170	3	the	the	DET
cana-638	170	4	emotions	emotion	NOUN
cana-638	170	5	shared	share	VERB
cana-638	170	6	by	by	ADP
cana-638	170	7	each	each	DET
cana-638	170	8	word	word	NOUN
cana-638	170	9	in	in	ADP
cana-638	170	10	the	the	DET
cana-638	170	11	document	document	NOUN
cana-638	170	12	are	be	AUX
cana-638	170	13	not	not	PART
cana-638	170	14	similar	similar	ADJ
cana-638	170	15	.	.	PUNCT
cana-638	171	1	for	for	ADP
cana-638	171	2	example	example	NOUN
cana-638	171	3	,	,	PUNCT
cana-638	171	4	the	the	DET
cana-638	171	5	word	word	NOUN
cana-638	171	6	beautiful	beautiful	ADJ
cana-638	171	7	is	be	AUX
cana-638	171	8	subjected	subject	VERB
cana-638	171	9	to	to	ADP
cana-638	171	10	both	both	DET
cana-638	171	11	love	love	NOUN
cana-638	171	12	and	and	CCONJ
cana-638	171	13	joy	joy	NOUN
cana-638	171	14	,	,	PUNCT
cana-638	171	15	whereas	whereas	SCONJ
cana-638	171	16	the	the	DET
cana-638	171	17	tec	tec	NOUN
cana-638	171	18	provides	provide	VERB
cana-638	171	19	a	a	DET
cana-638	171	20	count	count	NOUN
cana-638	171	21	of	of	ADP
cana-638	171	22	1	1	NUM
cana-638	171	23	for	for	ADP
cana-638	171	24	one	one	NUM
cana-638	171	25	class	class	NOUN
cana-638	171	26	and	and	CCONJ
cana-638	171	27	o	o	NOUN
cana-638	171	28	for	for	ADP
cana-638	171	29	another	another	DET
cana-638	171	30	class	class	NOUN
cana-638	171	31	.	.	PUNCT
cana-638	172	1	total	total	ADJ
cana-638	172	2	emotion	emotion	NOUN
cana-638	172	3	intensity	intensity	NOUN
cana-638	172	4	(	(	PUNCT
cana-638	172	5	tei	tei	NOUN
cana-638	172	6	)	)	PUNCT
cana-638	172	7	the	the	DET
cana-638	172	8	sum	sum	NOUN
cana-638	172	9	of	of	ADP
cana-638	172	10	the	the	DET
cana-638	172	11	scores	score	NOUN
cana-638	172	12	from	from	ADP
cana-638	172	13	the	the	DET
cana-638	172	14	emotional	emotional	ADJ
cana-638	172	15	intensity	intensity	NOUN
cana-638	172	16	of	of	ADP
cana-638	172	17	each	each	DET
cana-638	172	18	word	word	NOUN
cana-638	172	19	in	in	ADP
cana-638	172	20	the	the	DET
cana-638	172	21	document	document	NOUN
cana-638	172	22	is	be	AUX
cana-638	172	23	obtained	obtain	VERB
cana-638	172	24	by	by	ADP
cana-638	172	25	tei	tei	PROPN
cana-638	172	26	.	.	PUNCT
cana-638	173	1	generally	generally	ADV
cana-638	173	2	,	,	PUNCT
cana-638	173	3	tec	tec	ADJ
cana-638	173	4	use	use	VERB
cana-638	173	5	coarse	coarse	ADJ
cana-638	173	6	integer	integer	NOUN
cana-638	173	7	counts	count	NOUN
cana-638	173	8	,	,	PUNCT
cana-638	173	9	but	but	CCONJ
cana-638	173	10	tei	tei	NOUN
cana-638	173	11	utilizes	utilize	VERB
cana-638	173	12	emotion	emotion	NOUN
cana-638	173	13	intensity	intensity	NOUN
cana-638	173	14	scores	score	NOUN
cana-638	173	15	obtained	obtain	VERB
cana-638	173	16	from	from	ADP
cana-638	173	17	dsel	dsel	NOUN
cana-638	173	18	to	to	PART
cana-638	173	19	extract	extract	VERB
cana-638	173	20	the	the	DET
cana-638	173	21	emotion	emotion	NOUN
cana-638	173	22	-	-	PUNCT
cana-638	173	23	based	base	VERB
cana-638	173	24	features	feature	NOUN
cana-638	173	25	from	from	ADP
cana-638	173	26	the	the	DET
cana-638	173	27	document	document	NOUN
cana-638	173	28	having	have	VERB
cana-638	173	29	a	a	DET
cana-638	173	30	number	number	NOUN
cana-638	173	31	of	of	ADP
cana-638	173	32	emotion	emotion	NOUN
cana-638	173	33	classes	class	NOUN
cana-638	173	34	.	.	PUNCT
cana-638	174	1	the	the	DET
cana-638	174	2	feature	feature	NOUN
cana-638	174	3	vector	vector	NOUN
cana-638	174	4	extracted	extract	VERB
cana-638	174	5	by	by	ADP
cana-638	174	6	tei	tei	NOUN
cana-638	174	7	from	from	ADP
cana-638	174	8	the	the	DET
cana-638	174	9	document	document	NOUN
cana-638	174	10	d	d	NOUN
cana-638	174	11	is	be	AUX
cana-638	174	12	represented	represent	VERB
cana-638	174	13	as	as	ADP
cana-638	174	14	𝑑𝑇𝐸𝐶.	𝑑𝑇𝐸𝐶.	NOUN
cana-638	174	15	for	for	ADP
cana-638	174	16	emotion	emotion	NOUN
cana-638	174	17	j	j	PROPN
cana-638	174	18	,	,	PUNCT
cana-638	174	19	the	the	DET
cana-638	174	20	feature	feature	NOUN
cana-638	174	21	value	value	NOUN
cana-638	174	22	is	be	AUX
cana-638	174	23	computed	compute	VERB
cana-638	174	24	using	use	VERB
cana-638	174	25	equation	equation	NOUN
cana-638	174	26	(	(	PUNCT
cana-638	174	27	8)	8)	NUM
cana-638	174	28	.	.	PUNCT
cana-638	174	29	𝑑𝑇𝐸𝐶|𝑒𝑗|	𝑑𝑇𝐸𝐶|𝑒𝑗|	PUNCT
cana-638	175	1	=	=	PUNCT
cana-638	175	2	∑	∑	PUNCT
cana-638	175	3	𝐿𝜔𝜀	𝐿𝜔𝜀	PROPN
cana-638	175	4	𝑒𝑥(𝑤	𝑒𝑥(𝑤	PUNCT
cana-638	175	5	,	,	PUNCT
cana-638	175	6	𝑒𝑗	𝑒𝑗	NOUN
cana-638	175	7	)	)	PUNCT
cana-638	175	8	×	×	PROPN
cana-638	175	9	𝑐𝑜𝑛𝑡(𝑤	𝑐𝑜𝑛𝑡(𝑤	PROPN
cana-638	175	10	,	,	PUNCT
cana-638	175	11	𝑑)--------(8	𝑑)--------(8	X
cana-638	175	12	)	)	PUNCT
cana-638	175	13	max	max	PROPN
cana-638	175	14	emotion	emotion	NOUN
cana-638	175	15	intensity	intensity	NOUN
cana-638	175	16	(	(	PUNCT
cana-638	175	17	mei	mei	PROPN
cana-638	175	18	)	)	PUNCT
cana-638	175	19	instead	instead	ADV
cana-638	175	20	of	of	ADP
cana-638	175	21	identifying	identify	VERB
cana-638	175	22	the	the	DET
cana-638	175	23	average	average	ADJ
cana-638	175	24	score	score	NOUN
cana-638	175	25	,	,	PUNCT
cana-638	175	26	identifying	identify	VERB
cana-638	175	27	the	the	DET
cana-638	175	28	term	term	NOUN
cana-638	175	29	that	that	PRON
cana-638	175	30	shows	show	VERB
cana-638	175	31	the	the	DET
cana-638	175	32	highest	high	ADJ
cana-638	175	33	sentiment	sentiment	NOUN
cana-638	175	34	bearing	bear	VERB
cana-638	175	35	to	to	ADP
cana-638	175	36	the	the	DET
cana-638	175	37	sentiment	sentiment	NOUN
cana-638	175	38	class	class	NOUN
cana-638	175	39	from	from	ADP
cana-638	175	40	the	the	DET
cana-638	175	41	entire	entire	ADJ
cana-638	175	42	document	document	NOUN
cana-638	175	43	is	be	AUX
cana-638	175	44	considered	consider	VERB
cana-638	175	45	the	the	DET
cana-638	175	46	major	major	ADJ
cana-638	175	47	mei	mei	PROPN
cana-638	175	48	concept	concept	NOUN
cana-638	175	49	.	.	PUNCT
cana-638	176	1	therefore	therefore	ADV
cana-638	176	2	,	,	PUNCT
cana-638	176	3	with	with	ADP
cana-638	176	4	mei	mei	PROPN
cana-638	176	5	,	,	PUNCT
cana-638	176	6	the	the	DET
cana-638	176	7	intensity	intensity	NOUN
cana-638	176	8	score	score	NOUN
cana-638	176	9	of	of	ADP
cana-638	176	10	the	the	DET
cana-638	176	11	word	word	NOUN
cana-638	176	12	having	have	VERB
cana-638	176	13	the	the	DET
cana-638	176	14	highest	high	ADJ
cana-638	176	15	emotion	emotion	NOUN
cana-638	176	16	bearing	bear	VERB
cana-638	176	17	from	from	ADP
cana-638	176	18	the	the	DET
cana-638	176	19	given	give	VERB
cana-638	176	20	document	document	NOUN
cana-638	176	21	is	be	AUX
cana-638	176	22	estimated	estimate	VERB
cana-638	176	23	.	.	PUNCT
cana-638	177	1	the	the	DET
cana-638	177	2	feature	feature	NOUN
cana-638	177	3	vector	vector	NOUN
cana-638	177	4	extracted	extract	VERB
cana-638	177	5	by	by	ADP
cana-638	177	6	mei	mei	PROPN
cana-638	177	7	from	from	ADP
cana-638	177	8	the	the	DET
cana-638	177	9	document	document	NOUN
cana-638	177	10	d	d	NOUN
cana-638	177	11	is	be	AUX
cana-638	177	12	represented	represent	VERB
cana-638	177	13	as	as	ADP
cana-638	177	14	𝑑𝑀𝐸𝐼-for	𝑑𝑀𝐸𝐼-for	ADP
cana-638	177	15	emotion	emotion	NOUN
cana-638	177	16	j	j	PROPN
cana-638	177	17	,	,	PUNCT
cana-638	177	18	the	the	DET
cana-638	177	19	feature	feature	NOUN
cana-638	177	20	value	value	NOUN
cana-638	177	21	is	be	AUX
cana-638	177	22	computed	compute	VERB
cana-638	177	23	using	use	VERB
cana-638	177	24	equation	equation	NOUN
cana-638	177	25	(	(	PUNCT
cana-638	177	26	9	9	NUM
cana-638	177	27	)	)	PUNCT
cana-638	177	28	.	.	PUNCT
cana-638	178	1	𝑑𝑀𝐸𝐼|𝑒𝑗|	𝑑𝑀𝐸𝐼|𝑒𝑗|	NOUN
cana-638	178	2	=	=	PUNCT
cana-638	178	3	𝑎𝑟𝑔𝑤𝑒𝑑𝑚𝑎𝑥𝐿𝑒𝑥(𝑤	𝑎𝑟𝑔𝑤𝑒𝑑𝑚𝑎𝑥𝐿𝑒𝑥(𝑤	PROPN
cana-638	178	4	,	,	PUNCT
cana-638	178	5	𝑗)--------(9	𝑗)--------(9	PRON
cana-638	178	6	)	)	PUNCT
cana-638	178	7	graded	grade	VERB
cana-638	178	8	emotion	emotion	NOUN
cana-638	178	9	count	count	NOUN
cana-638	178	10	(	(	PUNCT
cana-638	178	11	gec	gec	NOUN
cana-638	178	12	)	)	PUNCT
cana-638	178	13	the	the	DET
cana-638	178	14	concept	concept	NOUN
cana-638	178	15	of	of	ADP
cana-638	178	16	high	high	ADJ
cana-638	178	17	-	-	PUNCT
cana-638	178	18	intensity	intensity	NOUN
cana-638	178	19	emotional	emotional	ADJ
cana-638	178	20	words	word	NOUN
cana-638	178	21	is	be	AUX
cana-638	178	22	extended	extend	VERB
cana-638	178	23	to	to	PART
cana-638	178	24	extract	extract	VERB
cana-638	178	25	the	the	DET
cana-638	178	26	document	document	NOUN
cana-638	178	27	representation	representation	NOUN
cana-638	178	28	.	.	PUNCT
cana-638	179	1	for	for	ADP
cana-638	179	2	such	such	ADJ
cana-638	179	3	extraction	extraction	NOUN
cana-638	179	4	,	,	PUNCT
cana-638	179	5	the	the	DET
cana-638	179	6	tei	tei	NOUN
cana-638	179	7	and	and	CCONJ
cana-638	179	8	tec	tec	ADJ
cana-638	179	9	variants	variant	NOUN
cana-638	179	10	are	be	AUX
cana-638	179	11	developed	develop	VERB
cana-638	179	12	.	.	PUNCT
cana-638	180	1	both	both	CCONJ
cana-638	180	2	the	the	DET
cana-638	180	3	variants	variant	NOUN
cana-638	180	4	considered	consider	VERB
cana-638	180	5	all	all	DET
cana-638	180	6	the	the	DET
cana-638	180	7	words	word	NOUN
cana-638	180	8	in	in	ADP
cana-638	180	9	the	the	DET
cana-638	180	10	document	document	NOUN
cana-638	180	11	without	without	ADP
cana-638	180	12	concerning	concern	VERB
cana-638	180	13	about	about	ADP
cana-638	180	14	their	their	PRON
cana-638	180	15	emotional	emotional	ADJ
cana-638	180	16	intensity	intensity	NOUN
cana-638	180	17	.	.	PUNCT
cana-638	181	1	however	however	ADV
cana-638	181	2	,	,	PUNCT
cana-638	181	3	understanding	understand	VERB
cana-638	181	4	the	the	DET
cana-638	181	5	effect	effect	NOUN
cana-638	181	6	of	of	ADP
cana-638	181	7	high	high	ADJ
cana-638	181	8	-	-	PUNCT
cana-638	181	9	intensity	intensity	NOUN
cana-638	181	10	words	word	NOUN
cana-638	181	11	on	on	ADP
cana-638	181	12	emotion	emotion	NOUN
cana-638	181	13	classification	classification	NOUN
cana-638	181	14	is	be	AUX
cana-638	181	15	valuable	valuable	ADJ
cana-638	181	16	to	to	PART
cana-638	181	17	achieve	achieve	VERB
cana-638	181	18	better	well	ADJ
cana-638	181	19	performance	performance	NOUN
cana-638	181	20	.	.	PUNCT
cana-638	182	1	the	the	DET
cana-638	182	2	processing	processing	NOUN
cana-638	182	3	principle	principle	NOUN
cana-638	182	4	of	of	ADP
cana-638	182	5	both	both	CCONJ
cana-638	182	6	gec	gec	NOUN
cana-638	182	7	and	and	CCONJ
cana-638	182	8	tec	tec	NOUN
cana-638	182	9	are	be	AUX
cana-638	182	10	similar	similar	ADJ
cana-638	182	11	,	,	PUNCT
cana-638	182	12	except	except	SCONJ
cana-638	182	13	for	for	ADP
cana-638	182	14	the	the	DET
cana-638	182	15	fact	fact	NOUN
cana-638	182	16	that	that	SCONJ
cana-638	182	17	it	it	PRON
cana-638	182	18	extracts	extract	VERB
cana-638	182	19	the	the	DET
cana-638	182	20	total	total	ADJ
cana-638	182	21	number	number	NOUN
cana-638	182	22	of	of	ADP
cana-638	182	23	words	word	NOUN
cana-638	182	24	and	and	CCONJ
cana-638	182	25	their	their	PRON
cana-638	182	26	respective	respective	ADJ
cana-638	182	27	emotions	emotion	NOUN
cana-638	182	28	within	within	ADP
cana-638	182	29	a	a	DET
cana-638	182	30	threshold	threshold	NOUN
cana-638	182	31	value	value	NOUN
cana-638	182	32	o	o	NOUN
cana-638	182	33	from	from	ADP
cana-638	182	34	the	the	DET
cana-638	182	35	document	document	NOUN
cana-638	182	36	.	.	PUNCT
cana-638	183	1	it	it	PRON
cana-638	183	2	quantifies	quantify	VERB
cana-638	183	3	the	the	DET
cana-638	183	4	relation	relation	NOUN
cana-638	183	5	between	between	ADP
cana-638	183	6	the	the	DET
cana-638	183	7	emotion	emotion	NOUN
cana-638	183	8	and	and	CCONJ
cana-638	183	9	its	its	PRON
cana-638	183	10	respective	respective	ADJ
cana-638	183	11	classes	class	NOUN
cana-638	183	12	in	in	ADP
cana-638	183	13	the	the	DET
cana-638	183	14	probability	probability	NOUN
cana-638	183	15	distribution	distribution	NOUN
cana-638	183	16	form	form	NOUN
cana-638	183	17	.	.	PUNCT
cana-638	184	1	the	the	DET
cana-638	184	2	resultant	resultant	NOUN
cana-638	184	3	intensity	intensity	NOUN
cana-638	184	4	scores	score	NOUN
cana-638	184	5	lie	lie	VERB
cana-638	184	6	between	between	ADP
cana-638	184	7	the	the	DET
cana-638	184	8	intervals	interval	NOUN
cana-638	184	9	0	0	PUNCT
cana-638	184	10	and	and	CCONJ
cana-638	184	11	1	1	NUM
cana-638	184	12	.	.	PUNCT
cana-638	185	1	in	in	ADP
cana-638	185	2	this	this	DET
cana-638	185	3	work	work	NOUN
cana-638	185	4	,	,	PUNCT
cana-638	185	5	the	the	DET
cana-638	185	6	available	available	ADJ
cana-638	185	7	interval	interval	NOUN
cana-638	185	8	is	be	AUX
cana-638	185	9	divided	divide	VERB
cana-638	185	10	into	into	ADP
cana-638	185	11	4	4	NUM
cana-638	185	12	different	different	ADJ
cana-638	185	13	quartiles	quartile	NOUN
cana-638	185	14	they	they	PRON
cana-638	185	15	are	be	AUX
cana-638	185	16	(	(	PUNCT
cana-638	185	17	0	0	NUM
cana-638	185	18	,	,	PUNCT
cana-638	185	19	0.25	0.25	NUM
cana-638	185	20	)	)	PUNCT
cana-638	185	21	,	,	PUNCT
cana-638	185	22	(	(	PUNCT
cana-638	185	23	0.25	0.25	NUM
cana-638	185	24	,	,	PUNCT
cana-638	185	25	0.5	0.5	NUM
cana-638	185	26	)	)	PUNCT
cana-638	185	27	,	,	PUNCT
cana-638	185	28	(	(	PUNCT
cana-638	185	29	0.5	0.5	NUM
cana-638	185	30	,	,	PUNCT
cana-638	185	31	0.75	0.75	NUM
cana-638	185	32	)	)	PUNCT
cana-638	185	33	and	and	CCONJ
cana-638	185	34	(	(	PUNCT
cana-638	185	35	0.75	0.75	NUM
cana-638	185	36	,	,	PUNCT
cana-638	185	37	1	1	NUM
cana-638	185	38	)	)	PUNCT
cana-638	185	39	.	.	PUNCT
cana-638	186	1	out	out	ADP
cana-638	186	2	of	of	ADP
cana-638	186	3	these	these	DET
cana-638	186	4	four	four	NUM
cana-638	186	5	intervals	interval	NOUN
cana-638	186	6	,	,	PUNCT
cana-638	186	7	three	three	NUM
cana-638	186	8	values	value	NOUN
cana-638	186	9	are	be	AUX
cana-638	186	10	selected	select	VERB
cana-638	186	11	as	as	ADP
cana-638	186	12	threshold	threshold	NOUN
cana-638	186	13	values	value	NOUN
cana-638	186	14	they	they	PRON
cana-638	186	15	are	be	AUX
cana-638	186	16	0.25	0.25	NUM
cana-638	186	17	,	,	PUNCT
cana-638	186	18	0.5	0.5	NUM
cana-638	186	19	,	,	PUNCT
cana-638	186	20	and	and	CCONJ
cana-638	186	21	0.75	0.75	NUM
cana-638	186	22	.	.	PUNCT
cana-638	187	1	the	the	DET
cana-638	187	2	features	feature	NOUN
cana-638	187	3	that	that	PRON
cana-638	187	4	are	be	AUX
cana-638	187	5	extracted	extract	VERB
cana-638	187	6	using	use	VERB
cana-638	187	7	gec	gec	NOUN
cana-638	187	8	are	be	AUX
cana-638	187	9	mostly	mostly	ADV
cana-638	187	10	for	for	ADP
cana-638	187	11	these	these	DET
cana-638	187	12	three	three	NUM
cana-638	187	13	intervals	interval	NOUN
cana-638	187	14	.	.	PUNCT
cana-638	188	1	the	the	DET
cana-638	188	2	feature	feature	NOUN
cana-638	188	3	vector	vector	NOUN
cana-638	188	4	extracted	extract	VERB
cana-638	188	5	communications	communication	NOUN
cana-638	188	6	on	on	ADP
cana-638	188	7	applied	apply	VERB
cana-638	188	8	nonlinear	nonlinear	ADJ
cana-638	188	9	analysis	analysis	NOUN
cana-638	188	10	issn	issn	NOUN
cana-638	188	11	:	:	PUNCT
cana-638	188	12	1074	1074	NUM
cana-638	188	13	-	-	PUNCT
cana-638	188	14	133x	133x	NUM
cana-638	188	15	vol	vol	NOUN
cana-638	188	16	31	31	NUM
cana-638	188	17	no	no	NOUN
cana-638	188	18	.	.	PUNCT
cana-638	189	1	2s	2s	NUM
cana-638	189	2	(	(	PUNCT
cana-638	189	3	2024	2024	NUM
cana-638	189	4	)	)	PUNCT
cana-638	189	5	241	241	NUM
cana-638	189	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	189	7	by	by	ADP
cana-638	189	8	gec	gec	NOUN
cana-638	189	9	from	from	ADP
cana-638	189	10	the	the	DET
cana-638	189	11	document	document	NOUN
cana-638	189	12	d	d	NOUN
cana-638	189	13	is	be	AUX
cana-638	189	14	represented	represent	VERB
cana-638	189	15	as	as	ADP
cana-638	189	16	𝑑𝐺𝐸𝐶.	𝑑𝐺𝐸𝐶.	NOUN
cana-638	189	17	for	for	ADP
cana-638	189	18	emotion	emotion	NOUN
cana-638	189	19	j	j	PROPN
cana-638	189	20	,	,	PUNCT
cana-638	189	21	the	the	DET
cana-638	189	22	feature	feature	NOUN
cana-638	189	23	value	value	NOUN
cana-638	189	24	is	be	AUX
cana-638	189	25	computed	compute	VERB
cana-638	189	26	using	use	VERB
cana-638	189	27	equation	equation	NOUN
cana-638	189	28	(	(	PUNCT
cana-638	189	29	10	10	NUM
cana-638	189	30	)	)	PUNCT
cana-638	189	31	.	.	PUNCT
cana-638	190	1	graded	grade	VERB
cana-638	190	2	emotion	emotion	NOUN
cana-638	190	3	intensity	intensity	NOUN
cana-638	190	4	(	(	PUNCT
cana-638	190	5	gei	gei	PROPN
cana-638	190	6	)	)	PUNCT
cana-638	190	7	like	like	ADP
cana-638	190	8	gec	gec	NOUN
cana-638	190	9	,	,	PUNCT
cana-638	190	10	develop	develop	VERB
cana-638	190	11	a	a	DET
cana-638	190	12	variant	variant	NOUN
cana-638	190	13	of	of	ADP
cana-638	190	14	tei	tei	NOUN
cana-638	190	15	,	,	PUNCT
cana-638	190	16	named	name	VERB
cana-638	190	17	gei	gei	PROPN
cana-638	190	18	,	,	PUNCT
cana-638	190	19	which	which	PRON
cana-638	190	20	is	be	AUX
cana-638	190	21	estimated	estimate	VERB
cana-638	190	22	by	by	ADP
cana-638	190	23	integrating	integrate	VERB
cana-638	190	24	the	the	DET
cana-638	190	25	words	word	NOUN
cana-638	190	26	intensity	intensity	NOUN
cana-638	190	27	scores	score	NOUN
cana-638	190	28	found	find	VERB
cana-638	190	29	within	within	ADP
cana-638	190	30	the	the	DET
cana-638	190	31	fixed	fix	VERB
cana-638	190	32	threshold	threshold	NOUN
cana-638	190	33	from	from	ADP
cana-638	190	34	the	the	DET
cana-638	190	35	given	give	VERB
cana-638	190	36	document	document	NOUN
cana-638	190	37	d.	d.	NOUN
cana-638	190	38	the	the	DET
cana-638	190	39	thresholds	threshold	NOUN
cana-638	190	40	mentioned	mention	VERB
cana-638	190	41	earlier	early	ADV
cana-638	190	42	are	be	AUX
cana-638	190	43	used	use	VERB
cana-638	190	44	for	for	ADP
cana-638	190	45	extracting	extract	VERB
cana-638	190	46	gei	gei	PROPN
cana-638	190	47	features	feature	NOUN
cana-638	190	48	using	use	VERB
cana-638	190	49	dsls	dsls	NOUN
cana-638	190	50	.	.	PUNCT
cana-638	191	1	given	give	VERB
cana-638	191	2	a	a	DET
cana-638	191	3	document	document	NOUN
cana-638	191	4	d	d	NOUN
cana-638	191	5	,	,	PUNCT
cana-638	191	6	and	and	CCONJ
cana-638	191	7	its	its	PRON
cana-638	191	8	corresponding	corresponding	ADJ
cana-638	191	9	feature	feature	NOUN
cana-638	191	10	vector	vector	NOUN
cana-638	191	11	𝑑𝐺𝐸𝐼	𝑑𝐺𝐸𝐼	PROPN
cana-638	191	12	,	,	PUNCT
cana-638	191	13	the	the	DET
cana-638	191	14	feature	feature	NOUN
cana-638	191	15	value	value	NOUN
cana-638	191	16	for	for	ADP
cana-638	191	17	the	the	DET
cana-638	191	18	jth	jth	PROPN
cana-638	191	19	emotion	emotion	NOUN
cana-638	191	20	is	be	AUX
cana-638	191	21	computed	compute	VERB
cana-638	191	22	as	as	SCONJ
cana-638	191	23	follows	follow	VERB
cana-638	191	24	.	.	PUNCT
cana-638	192	1	𝑑𝐺𝐸𝐼|𝑒𝑗|	𝑑𝐺𝐸𝐼|𝑒𝑗|	PUNCT
cana-638	193	1	=	=	PUNCT
cana-638	193	2	∑	∑	PUNCT
cana-638	193	3	𝐿𝜔𝜀	𝐿𝜔𝜀	PROPN
cana-638	193	4	𝑒𝑥(𝑤	𝑒𝑥(𝑤	PUNCT
cana-638	193	5	,	,	PUNCT
cana-638	193	6	𝑒	𝑒	NOUN
cana-638	193	7	)	)	PUNCT
cana-638	193	8	×	×	PROPN
cana-638	193	9	𝑐𝑜𝑛𝑡(𝑤	𝑐𝑜𝑛𝑡(𝑤	PROPN
cana-638	193	10	,	,	PUNCT
cana-638	193	11	𝑑)--------(10	𝑑)--------(10	NOUN
cana-638	193	12	)	)	PUNCT
cana-638	193	13	feature	feature	NOUN
cana-638	193	14	selection	selection	NOUN
cana-638	193	15	feature	feature	NOUN
cana-638	193	16	selection	selection	NOUN
cana-638	193	17	is	be	AUX
cana-638	193	18	a	a	DET
cana-638	193	19	process	process	NOUN
cana-638	193	20	that	that	PRON
cana-638	193	21	intends	intend	VERB
cana-638	193	22	to	to	PART
cana-638	193	23	reduce	reduce	VERB
cana-638	193	24	the	the	DET
cana-638	193	25	number	number	NOUN
cana-638	193	26	of	of	ADP
cana-638	193	27	input	input	NOUN
cana-638	193	28	variables	variable	NOUN
cana-638	193	29	by	by	ADP
cana-638	193	30	selecting	select	VERB
cana-638	193	31	only	only	ADV
cana-638	193	32	the	the	DET
cana-638	193	33	variables	variable	NOUN
cana-638	193	34	that	that	PRON
cana-638	193	35	are	be	AUX
cana-638	193	36	useful	useful	ADJ
cana-638	193	37	for	for	ADP
cana-638	193	38	the	the	DET
cana-638	193	39	classification	classification	NOUN
cana-638	193	40	process	process	NOUN
cana-638	193	41	.	.	PUNCT
cana-638	194	1	the	the	DET
cana-638	194	2	main	main	ADJ
cana-638	194	3	merit	merit	NOUN
cana-638	194	4	of	of	ADP
cana-638	194	5	this	this	DET
cana-638	194	6	feature	feature	NOUN
cana-638	194	7	selection	selection	NOUN
cana-638	194	8	is	be	AUX
cana-638	194	9	that	that	SCONJ
cana-638	194	10	it	it	PRON
cana-638	194	11	reduces	reduce	VERB
cana-638	194	12	the	the	DET
cana-638	194	13	complexity	complexity	NOUN
cana-638	194	14	of	of	ADP
cana-638	194	15	the	the	DET
cana-638	194	16	learning	learning	NOUN
cana-638	194	17	algorithm	algorithm	NOUN
cana-638	194	18	:	:	PUNCT
cana-638	194	19	furthermore	furthermore	ADV
cana-638	194	20	,	,	PUNCT
cana-638	194	21	it	it	PRON
cana-638	194	22	increases	increase	VERB
cana-638	194	23	processing	process	VERB
cana-638	194	24	speed	speed	NOUN
cana-638	194	25	and	and	CCONJ
cana-638	194	26	accuracy	accuracy	NOUN
cana-638	194	27	.	.	PUNCT
cana-638	195	1	in	in	ADP
cana-638	195	2	this	this	DET
cana-638	195	3	work	work	NOUN
cana-638	195	4	,	,	PUNCT
cana-638	195	5	used	use	VERB
cana-638	195	6	three	three	NUM
cana-638	195	7	different	different	ADJ
cana-638	195	8	and	and	CCONJ
cana-638	195	9	efficient	efficient	ADJ
cana-638	195	10	feature	feature	NOUN
cana-638	195	11	selection	selection	NOUN
cana-638	195	12	approaches	approach	NOUN
cana-638	195	13	pmi	pmi	PROPN
cana-638	195	14	,	,	PUNCT
cana-638	195	15	chi	chi	PROPN
cana-638	195	16	square	square	PROPN
cana-638	195	17	,	,	PUNCT
cana-638	195	18	and	and	CCONJ
cana-638	195	19	dfs	dfs	PROPN
cana-638	195	20	.	.	PUNCT
cana-638	196	1	chi	chi	ADJ
cana-638	196	2	-	-	PUNCT
cana-638	196	3	square	square	ADJ
cana-638	196	4	chi	chi	PROPN
cana-638	196	5	square	square	PROPN
cana-638	196	6	is	be	AUX
cana-638	196	7	a	a	DET
cana-638	196	8	filter	filter	NOUN
cana-638	196	9	based	base	VERB
cana-638	196	10	feature	feature	NOUN
cana-638	196	11	selection	selection	NOUN
cana-638	196	12	approach	approach	NOUN
cana-638	196	13	that	that	PRON
cana-638	196	14	determines	determine	VERB
cana-638	196	15	whether	whether	SCONJ
cana-638	196	16	the	the	DET
cana-638	196	17	occurred	occur	VERB
cana-638	196	18	feature	feature	NOUN
cana-638	196	19	is	be	AUX
cana-638	196	20	class	class	NOUN
cana-638	196	21	dependent	dependent	ADJ
cana-638	196	22	or	or	CCONJ
cana-638	196	23	independent	independent	ADJ
cana-638	196	24	.	.	PUNCT
cana-638	197	1	large	large	ADJ
cana-638	197	2	values	value	NOUN
cana-638	197	3	obtained	obtain	VERB
cana-638	197	4	by	by	ADP
cana-638	197	5	chi	chi	ADJ
cana-638	197	6	-	-	PUNCT
cana-638	197	7	square	square	NOUN
cana-638	197	8	represent	represent	VERB
cana-638	197	9	that	that	SCONJ
cana-638	197	10	both	both	CCONJ
cana-638	197	11	the	the	DET
cana-638	197	12	class	class	NOUN
cana-638	197	13	and	and	CCONJ
cana-638	197	14	feature	feature	NOUN
cana-638	197	15	are	be	AUX
cana-638	197	16	found	find	VERB
cana-638	197	17	independent	independent	ADJ
cana-638	197	18	.	.	PUNCT
cana-638	198	1	χ2	χ2	NOUN
cana-638	198	2	=	=	SYM
cana-638	198	3	∑	∑	PROPN
cana-638	198	4	(	(	PUNCT
cana-638	198	5	𝐹0−𝐹𝑒	𝐹0−𝐹𝑒	PUNCT
cana-638	198	6	𝐹𝑒	𝐹𝑒	NOUN
cana-638	198	7	)	)	PUNCT
cana-638	198	8	2	2	NUM
cana-638	198	9	--------(11	--------(11	NOUN
cana-638	198	10	)	)	PUNCT
cana-638	198	11	where	where	SCONJ
cana-638	198	12	,	,	PUNCT
cana-638	198	13	expected	expect	VERB
cana-638	198	14	and	and	CCONJ
cana-638	198	15	observed	observe	VERB
cana-638	198	16	frequency	frequency	NOUN
cana-638	198	17	for	for	ADP
cana-638	198	18	each	each	DET
cana-638	198	19	class	class	NOUN
cana-638	198	20	and	and	CCONJ
cana-638	198	21	feature	feature	NOUN
cana-638	198	22	is	be	AUX
cana-638	198	23	represented	represent	VERB
cana-638	198	24	as	as	ADP
cana-638	198	25	f.	f.	PROPN
cana-638	198	26	and	and	CCONJ
cana-638	198	27	𝐹0	𝐹0	NOUN
cana-638	198	28	respectively	respectively	ADV
cana-638	198	29	.	.	PUNCT
cana-638	199	1	distinguishing	distinguish	VERB
cana-638	199	2	feature	feature	NOUN
cana-638	199	3	selection	selection	NOUN
cana-638	199	4	distinguishing	distinguish	VERB
cana-638	199	5	feature	feature	NOUN
cana-638	199	6	selection	selection	NOUN
cana-638	199	7	is	be	AUX
cana-638	199	8	an	an	DET
cana-638	199	9	ideal	ideal	ADJ
cana-638	199	10	filter	filter	NOUN
cana-638	199	11	based	base	VERB
cana-638	199	12	feature	feature	NOUN
cana-638	199	13	section	section	NOUN
cana-638	199	14	approach	approach	NOUN
cana-638	199	15	that	that	PRON
cana-638	199	16	assigns	assign	VERB
cana-638	199	17	a	a	DET
cana-638	199	18	high	high	ADJ
cana-638	199	19	score	score	NOUN
cana-638	199	20	for	for	ADP
cana-638	199	21	distinctive	distinctive	ADJ
cana-638	199	22	features	feature	NOUN
cana-638	199	23	and	and	CCONJ
cana-638	199	24	a	a	DET
cana-638	199	25	low	low	ADJ
cana-638	199	26	score	score	NOUN
cana-638	199	27	for	for	ADP
cana-638	199	28	irrelevant	irrelevant	ADJ
cana-638	199	29	features	feature	NOUN
cana-638	199	30	.	.	PUNCT
cana-638	200	1	it	it	PRON
cana-638	200	2	ranks	rank	VERB
cana-638	200	3	the	the	DET
cana-638	200	4	terms	term	NOUN
cana-638	200	5	based	base	VERB
cana-638	200	6	on	on	ADP
cana-638	200	7	four	four	NUM
cana-638	200	8	different	different	ADJ
cana-638	200	9	conditions	condition	NOUN
cana-638	200	10	they	they	PRON
cana-638	200	11	are	be	AUX
cana-638	200	12	:	:	PUNCT
cana-638	200	13	if	if	SCONJ
cana-638	200	14	a	a	DET
cana-638	200	15	term	term	NOUN
cana-638	200	16	is	be	AUX
cana-638	200	17	present	present	ADJ
cana-638	200	18	in	in	ADP
cana-638	200	19	one	one	NUM
cana-638	200	20	class	class	NOUN
cana-638	200	21	and	and	CCONJ
cana-638	200	22	not	not	PART
cana-638	200	23	found	find	VERB
cana-638	200	24	in	in	ADP
cana-638	200	25	any	any	DET
cana-638	200	26	other	other	ADJ
cana-638	200	27	classes	class	NOUN
cana-638	200	28	,	,	PUNCT
cana-638	200	29	then	then	ADV
cana-638	200	30	consider	consider	VERB
cana-638	200	31	such	such	ADJ
cana-638	200	32	term	term	NOUN
cana-638	200	33	as	as	ADP
cana-638	200	34	distinctive	distinctive	ADJ
cana-638	200	35	and	and	CCONJ
cana-638	200	36	assign	assign	VERB
cana-638	200	37	a	a	DET
cana-638	200	38	high	high	ADJ
cana-638	200	39	score	score	NOUN
cana-638	200	40	.	.	PUNCT
cana-638	201	1	if	if	SCONJ
cana-638	201	2	a	a	DET
cana-638	201	3	term	term	NOUN
cana-638	201	4	rarely	rarely	ADV
cana-638	201	5	present	present	ADJ
cana-638	201	6	in	in	ADP
cana-638	201	7	one	one	NUM
cana-638	201	8	class	class	NOUN
cana-638	201	9	and	and	CCONJ
cana-638	201	10	does	do	AUX
cana-638	201	11	not	not	PART
cana-638	201	12	found	find	VERB
cana-638	201	13	in	in	ADP
cana-638	201	14	other	other	ADJ
cana-638	201	15	classes	class	NOUN
cana-638	201	16	,	,	PUNCT
cana-638	201	17	consider	consider	VERB
cana-638	201	18	that	that	SCONJ
cana-638	201	19	terms	term	NOUN
cana-638	201	20	as	as	ADP
cana-638	201	21	irrelevant	irrelevant	ADJ
cana-638	201	22	and	and	CCONJ
cana-638	201	23	assign	assign	VERB
cana-638	201	24	a	a	DET
cana-638	201	25	low	low	ADJ
cana-638	201	26	score	score	NOUN
cana-638	201	27	.	.	PUNCT
cana-638	202	1	•	•	INTJ
cana-638	202	2	if	if	SCONJ
cana-638	202	3	a	a	DET
cana-638	202	4	term	term	NOUN
cana-638	202	5	is	be	AUX
cana-638	202	6	frequently	frequently	ADV
cana-638	202	7	found	find	VERB
cana-638	202	8	in	in	ADP
cana-638	202	9	all	all	DET
cana-638	202	10	classes	class	NOUN
cana-638	202	11	,	,	PUNCT
cana-638	202	12	then	then	ADV
cana-638	202	13	consider	consider	VERB
cana-638	202	14	such	such	DET
cana-638	202	15	a	a	DET
cana-638	202	16	term	term	NOUN
cana-638	202	17	as	as	ADP
cana-638	202	18	irrelevant	irrelevant	ADJ
cana-638	202	19	and	and	CCONJ
cana-638	202	20	assign	assign	VERB
cana-638	202	21	a	a	DET
cana-638	202	22	low	low	ADJ
cana-638	202	23	score	score	NOUN
cana-638	202	24	.	.	PUNCT
cana-638	203	1	•	•	NOUN
cana-638	203	2	retrieval	retrieval	NOUN
cana-638	203	3	in	in	ADP
cana-638	203	4	reduced	reduced	ADJ
cana-638	203	5	space	space	NOUN
cana-638	203	6	it	it	PRON
cana-638	203	7	is	be	AUX
cana-638	203	8	used	use	VERB
cana-638	203	9	to	to	PART
cana-638	203	10	reduce	reduce	VERB
cana-638	203	11	the	the	DET
cana-638	203	12	space	space	NOUN
cana-638	203	13	in	in	ADP
cana-638	203	14	term	term	NOUN
cana-638	203	15	-	-	PUNCT
cana-638	203	16	document	document	NOUN
cana-638	203	17	matrix	matrix	NOUN
cana-638	203	18	.	.	PUNCT
cana-638	204	1	for	for	ADP
cana-638	204	2	example	example	NOUN
cana-638	204	3	;	;	PUNCT
cana-638	204	4	document	document	NOUN
cana-638	204	5	-	-	PUNCT
cana-638	204	6	document	document	NOUN
cana-638	204	7	,	,	PUNCT
cana-638	204	8	term	term	NOUN
cana-638	204	9	-	-	PUNCT
cana-638	204	10	term	term	NOUN
cana-638	204	11	,	,	PUNCT
cana-638	204	12	document	document	NOUN
cana-638	204	13	-	-	PUNCT
cana-638	204	14	term	term	NOUN
cana-638	204	15	these	these	DET
cana-638	204	16	words	word	NOUN
cana-638	204	17	represented	represent	VERB
cana-638	204	18	in	in	ADP
cana-638	204	19	the	the	DET
cana-638	204	20	same	same	ADJ
cana-638	204	21	space	space	NOUN
cana-638	204	22	so	so	SCONJ
cana-638	204	23	they	they	PRON
cana-638	204	24	need	need	VERB
cana-638	204	25	to	to	PART
cana-638	204	26	compute	compute	VERB
cana-638	204	27	.	.	PUNCT
cana-638	205	1	•	•	INTJ
cana-638	205	2	if	if	SCONJ
cana-638	205	3	a	a	DET
cana-638	205	4	term	term	NOUN
cana-638	205	5	occurs	occur	VERB
cana-638	205	6	in	in	ADP
cana-638	205	7	few	few	ADJ
cana-638	205	8	classes	class	NOUN
cana-638	205	9	,	,	PUNCT
cana-638	205	10	then	then	ADV
cana-638	205	11	consider	consider	VERB
cana-638	205	12	such	such	ADJ
cana-638	205	13	term	term	NOUN
cana-638	205	14	as	as	ADP
cana-638	205	15	relatively	relatively	ADV
cana-638	205	16	distinctive	distinctive	ADJ
cana-638	205	17	and	and	CCONJ
cana-638	205	18	assign	assign	VERB
cana-638	205	19	a	a	DET
cana-638	205	20	relatively	relatively	ADV
cana-638	205	21	high	high	ADJ
cana-638	205	22	score	score	NOUN
cana-638	205	23	.	.	PUNCT
cana-638	206	1	the	the	DET
cana-638	206	2	formula	formula	NOUN
cana-638	206	3	applied	apply	VERB
cana-638	206	4	by	by	ADP
cana-638	206	5	dfs	dfs	PROPN
cana-638	206	6	for	for	ADP
cana-638	206	7	feature	feature	NOUN
cana-638	206	8	selection	selection	NOUN
cana-638	206	9	is	be	AUX
cana-638	206	10	given	give	VERB
cana-638	206	11	in	in	ADP
cana-638	206	12	equation	equation	NOUN
cana-638	206	13	(	(	PUNCT
cana-638	206	14	12	12	NUM
cana-638	206	15	)	)	PUNCT
cana-638	206	16	.	.	PUNCT
cana-638	207	1	communications	communication	NOUN
cana-638	207	2	on	on	ADP
cana-638	207	3	applied	apply	VERB
cana-638	207	4	nonlinear	nonlinear	ADJ
cana-638	207	5	analysis	analysis	NOUN
cana-638	207	6	issn	issn	NOUN
cana-638	207	7	:	:	PUNCT
cana-638	207	8	1074	1074	NUM
cana-638	207	9	-	-	PUNCT
cana-638	207	10	133x	133x	NUM
cana-638	207	11	vol	vol	NOUN
cana-638	207	12	31	31	NUM
cana-638	207	13	no	no	NOUN
cana-638	207	14	.	.	PUNCT
cana-638	208	1	2s	2s	NUM
cana-638	208	2	(	(	PUNCT
cana-638	208	3	2024	2024	NUM
cana-638	208	4	)	)	PUNCT
cana-638	208	5	242	242	NUM
cana-638	208	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	208	7	𝐷𝐹𝑆(𝑡	𝐷𝐹𝑆(𝑡	NUM
cana-638	208	8	)	)	PUNCT
cana-638	208	9	=	=	PUNCT
cana-638	208	10	∑	∑	PUNCT
cana-638	208	11	𝑃(𝐶𝑎\𝑡	𝑃(𝐶𝑎\𝑡	NOUN
cana-638	208	12	)	)	PUNCT
cana-638	208	13	𝑃(𝑡\𝐶𝑎)+𝑃(𝑡\𝐶𝑎)+1	𝑃(𝑡\𝐶𝑎)+𝑃(𝑡\𝐶𝑎)+1	NOUN
cana-638	208	14	𝑎=1	𝑎=1	NOUN
cana-638	208	15	--------(12	--------(12	NOUN
cana-638	208	16	)	)	PUNCT
cana-638	208	17	where	where	SCONJ
cana-638	208	18	,	,	PUNCT
cana-638	208	19	the	the	DET
cana-638	208	20	conditional	conditional	ADJ
cana-638	208	21	probability	probability	NOUN
cana-638	208	22	obtained	obtain	VERB
cana-638	208	23	for	for	ADP
cana-638	208	24	term	term	NOUN
cana-638	208	25	that	that	PRON
cana-638	208	26	is	be	AUX
cana-638	208	27	found	find	VERB
cana-638	208	28	in	in	ADP
cana-638	208	29	classes	class	NOUN
cana-638	208	30	other	other	ADJ
cana-638	208	31	than	than	ADP
cana-638	208	32	co	co	NOUN
cana-638	208	33	is	be	AUX
cana-638	208	34	represented	represent	VERB
cana-638	208	35	as	as	ADP
cana-638	208	36	𝑃(𝐶𝑎\𝑡	𝑃(𝐶𝑎\𝑡	NOUN
cana-638	208	37	)	)	PUNCT
cana-638	208	38	.	.	PUNCT
cana-638	209	1	point	point	NOUN
cana-638	209	2	-	-	PUNCT
cana-638	209	3	wise	wise	ADJ
cana-638	209	4	mutual	mutual	ADJ
cana-638	209	5	information	information	NOUN
cana-638	209	6	(	(	PUNCT
cana-638	209	7	pmi	pmi	PROPN
cana-638	209	8	)	)	PUNCT
cana-638	209	9	the	the	DET
cana-638	209	10	point	point	ADV
cana-638	209	11	-	-	PUNCT
cana-638	209	12	wise	wise	ADJ
cana-638	209	13	mutual	mutual	ADJ
cana-638	209	14	information	information	NOUN
cana-638	209	15	approach	approach	NOUN
cana-638	209	16	determines	determine	VERB
cana-638	209	17	the	the	DET
cana-638	209	18	relationship	relationship	NOUN
cana-638	209	19	between	between	ADP
cana-638	209	20	the	the	DET
cana-638	209	21	two	two	NUM
cana-638	209	22	features	feature	NOUN
cana-638	209	23	.	.	PUNCT
cana-638	210	1	a	a	DET
cana-638	210	2	high	high	ADJ
cana-638	210	3	pmi	pmi	NOUN
cana-638	210	4	value	value	NOUN
cana-638	210	5	indicates	indicate	VERB
cana-638	210	6	the	the	DET
cana-638	210	7	frequent	frequent	ADJ
cana-638	210	8	co	co	NOUN
cana-638	210	9	-	-	NOUN
cana-638	210	10	occurrence	occurrence	NOUN
cana-638	210	11	of	of	ADP
cana-638	210	12	two	two	NUM
cana-638	210	13	features	feature	NOUN
cana-638	210	14	.	.	PUNCT
cana-638	211	1	a	a	DET
cana-638	211	2	feature	feature	NOUN
cana-638	211	3	selection	selection	NOUN
cana-638	211	4	process	process	NOUN
cana-638	211	5	is	be	AUX
cana-638	211	6	extensively	extensively	ADV
cana-638	211	7	applied	apply	VERB
cana-638	211	8	to	to	PART
cana-638	211	9	identify	identify	VERB
cana-638	211	10	the	the	DET
cana-638	211	11	mutual	mutual	ADJ
cana-638	211	12	information	information	NOUN
cana-638	211	13	shared	share	VERB
cana-638	211	14	among	among	ADP
cana-638	211	15	the	the	DET
cana-638	211	16	terms	term	NOUN
cana-638	211	17	and	and	CCONJ
cana-638	211	18	particular	particular	ADJ
cana-638	211	19	classes	class	NOUN
cana-638	211	20	.	.	PUNCT
cana-638	212	1	pmi	pmi	PROPN
cana-638	212	2	determines	determine	VERB
cana-638	212	3	the	the	DET
cana-638	212	4	ratio	ratio	NOUN
cana-638	212	5	between	between	ADP
cana-638	212	6	the	the	DET
cana-638	212	7	estimated	estimate	VERB
cana-638	212	8	co	co	NOUN
cana-638	212	9	-	-	NOUN
cana-638	212	10	occurrence	occurrence	NOUN
cana-638	212	11	for	for	ADP
cana-638	212	12	term	term	NOUN
cana-638	212	13	t	t	PROPN
cana-638	212	14	,	,	PUNCT
cana-638	212	15	and	and	CCONJ
cana-638	212	16	class	class	NOUN
cana-638	212	17	ca	can	AUX
cana-638	212	18	which	which	PRON
cana-638	212	19	is	be	AUX
cana-638	212	20	defined	define	VERB
cana-638	212	21	in	in	ADP
cana-638	212	22	equation	equation	NOUN
cana-638	212	23	(	(	PUNCT
cana-638	212	24	13	13	NUM
cana-638	212	25	)	)	PUNCT
cana-638	212	26	.	.	PUNCT
cana-638	213	1	𝑃𝑀𝐼(𝐶𝑎	𝑃𝑀𝐼(𝐶𝑎	PROPN
cana-638	213	2	,	,	PUNCT
cana-638	213	3	𝑡𝑗	𝑡𝑗	PROPN
cana-638	213	4	)	)	PUNCT
cana-638	213	5	=	=	SYM
cana-638	213	6	𝑙𝑜𝑔	𝑙𝑜𝑔	PROPN
cana-638	213	7	𝐹(𝑡𝑗)𝑃(𝐶𝑎,𝑡𝑗	𝐹(𝑡𝑗)𝑃(𝐶𝑎,𝑡𝑗	PROPN
cana-638	213	8	)	)	PUNCT
cana-638	213	9	𝐹(𝑡𝑗)𝑃(𝐶𝑎	𝐹(𝑡𝑗)𝑃(𝐶𝑎	NOUN
cana-638	213	10	)	)	PUNCT
cana-638	214	1	=	=	SYM
cana-638	214	2	𝑙𝑜𝑔	𝑙𝑜𝑔	X
cana-638	214	3	(	(	PUNCT
cana-638	214	4	𝑃(𝐶𝑎,𝑗	𝑃(𝐶𝑎,𝑗	PROPN
cana-638	214	5	)	)	PUNCT
cana-638	214	6	𝑃(𝐶𝑎	𝑃(𝐶𝑎	NOUN
cana-638	214	7	)	)	PUNCT
cana-638	214	8	)	)	PUNCT
cana-638	214	9	--------(13	--------(13	X
cana-638	214	10	)	)	PUNCT
cana-638	214	11	the	the	DET
cana-638	214	12	features	feature	NOUN
cana-638	214	13	selected	select	VERB
cana-638	214	14	by	by	ADP
cana-638	214	15	three	three	NUM
cana-638	214	16	filter	filter	NOUN
cana-638	214	17	-	-	PUNCT
cana-638	214	18	based	base	VERB
cana-638	214	19	techniques	technique	NOUN
cana-638	214	20	are	be	AUX
cana-638	214	21	then	then	ADV
cana-638	214	22	provided	provide	VERB
cana-638	214	23	to	to	ADP
cana-638	214	24	kelm	kelm	VERB
cana-638	214	25	sentiment	sentiment	NOUN
cana-638	214	26	for	for	ADP
cana-638	214	27	classification	classification	NOUN
cana-638	214	28	.	.	PUNCT
cana-638	215	1	the	the	DET
cana-638	215	2	selected	select	VERB
cana-638	215	3	features	feature	NOUN
cana-638	215	4	may	may	AUX
cana-638	215	5	contain	contain	VERB
cana-638	215	6	sentiment	sentiment	NOUN
cana-638	215	7	-based	-base	VERB
cana-638	215	8	features	feature	NOUN
cana-638	215	9	.	.	PUNCT
cana-638	216	1	sometimes	sometimes	ADV
cana-638	216	2	it	it	PRON
cana-638	216	3	carries	carry	VERB
cana-638	216	4	sentiment	sentiment	NOUN
cana-638	216	5	words	word	NOUN
cana-638	216	6	;	;	PUNCT
cana-638	216	7	therefore	therefore	ADV
cana-638	216	8	,	,	PUNCT
cana-638	216	9	using	use	VERB
cana-638	216	10	sentiment	sentiment	NOUN
cana-638	216	11	-	-	PUNCT
cana-638	216	12	based	base	VERB
cana-638	216	13	feature	feature	NOUN
cana-638	216	14	,	,	PUNCT
cana-638	216	15	it	it	PRON
cana-638	216	16	is	be	AUX
cana-638	216	17	essential	essential	ADJ
cana-638	216	18	for	for	SCONJ
cana-638	216	19	the	the	DET
cana-638	216	20	kelm	kelm	PROPN
cana-638	216	21	classifier	classifier	NOUN
cana-638	216	22	to	to	PART
cana-638	216	23	accurately	accurately	ADV
cana-638	216	24	classify	classify	VERB
cana-638	216	25	the	the	DET
cana-638	216	26	tweet	tweet	NOUN
cana-638	216	27	.	.	PUNCT
cana-638	217	1	kernel	kernel	PROPN
cana-638	217	2	extreme	extreme	PROPN
cana-638	217	3	learning	learn	VERB
cana-638	217	4	machine	machine	NOUN
cana-638	217	5	(	(	PUNCT
cana-638	217	6	kelm	kelm	PROPN
cana-638	217	7	)	)	PUNCT
cana-638	217	8	based	base	VERB
cana-638	217	9	classification	classification	NOUN
cana-638	217	10	extreme	extreme	ADJ
cana-638	217	11	learning	learning	NOUN
cana-638	217	12	machine	machine	NOUN
cana-638	217	13	(	(	PUNCT
cana-638	217	14	elm	elm	PROPN
cana-638	217	15	)	)	PUNCT
cana-638	217	16	is	be	AUX
cana-638	217	17	a	a	DET
cana-638	217	18	type	type	NOUN
cana-638	217	19	of	of	ADP
cana-638	217	20	single	single	ADJ
cana-638	217	21	hidden	hide	VERB
cana-638	217	22	layer	layer	NOUN
cana-638	217	23	feed	feed	NOUN
cana-638	217	24	-	-	PUNCT
cana-638	217	25	forward	forward	ADV
cana-638	217	26	neural	neural	ADJ
cana-638	217	27	network	network	NOUN
cana-638	217	28	(	(	PUNCT
cana-638	217	29	slfnn	slfnn	PROPN
cana-638	217	30	)	)	PUNCT
cana-638	217	31	whose	whose	DET
cana-638	217	32	architecture	architecture	NOUN
cana-638	217	33	is	be	AUX
cana-638	217	34	depicted	depict	VERB
cana-638	217	35	in	in	ADP
cana-638	217	36	figure	figure	NOUN
cana-638	217	37	2	2	NUM
cana-638	217	38	.	.	PUNCT
cana-638	217	39	three	three	NUM
cana-638	217	40	different	different	ADJ
cana-638	217	41	layers	layer	NOUN
cana-638	217	42	are	be	AUX
cana-638	217	43	present	present	ADJ
cana-638	217	44	in	in	ADP
cana-638	217	45	elm	elm	PROPN
cana-638	217	46	;	;	PUNCT
cana-638	217	47	input	input	NOUN
cana-638	217	48	,	,	PUNCT
cana-638	217	49	hidden	hide	VERB
cana-638	217	50	,	,	PUNCT
cana-638	217	51	and	and	CCONJ
cana-638	217	52	output	output	NOUN
cana-638	217	53	layers	layer	NOUN
cana-638	217	54	.	.	PUNCT
cana-638	218	1	the	the	DET
cana-638	218	2	usage	usage	NOUN
cana-638	218	3	of	of	ADP
cana-638	218	4	the	the	DET
cana-638	218	5	nonlinear	nonlinear	ADJ
cana-638	218	6	activation	activation	NOUN
cana-638	218	7	function	function	NOUN
cana-638	218	8	makes	make	VERB
cana-638	218	9	the	the	DET
cana-638	218	10	hidden	hide	VERB
cana-638	218	11	layer	layer	NOUN
cana-638	218	12	nonlinear	nonlinear	NOUN
cana-638	218	13	,	,	PUNCT
cana-638	218	14	whereas	whereas	SCONJ
cana-638	218	15	the	the	DET
cana-638	218	16	output	output	NOUN
cana-638	218	17	is	be	AUX
cana-638	218	18	linear	linear	ADJ
cana-638	218	19	as	as	SCONJ
cana-638	218	20	it	it	PRON
cana-638	218	21	does	do	AUX
cana-638	218	22	not	not	PART
cana-638	218	23	comprise	comprise	VERB
cana-638	218	24	any	any	DET
cana-638	218	25	activation	activation	NOUN
cana-638	218	26	function	function	NOUN
cana-638	218	27	.	.	PUNCT
cana-638	219	1	the	the	DET
cana-638	219	2	elm	elm	NOUN
cana-638	219	3	fails	fail	VERB
cana-638	219	4	to	to	PART
cana-638	219	5	attain	attain	VERB
cana-638	219	6	better	well	ADJ
cana-638	219	7	results	result	NOUN
cana-638	219	8	in	in	ADP
cana-638	219	9	a	a	DET
cana-638	219	10	few	few	ADJ
cana-638	219	11	cases	case	NOUN
cana-638	219	12	due	due	ADP
cana-638	219	13	to	to	ADP
cana-638	219	14	the	the	DET
cana-638	219	15	random	random	ADJ
cana-638	219	16	selection	selection	NOUN
cana-638	219	17	of	of	ADP
cana-638	219	18	bias	bias	NOUN
cana-638	219	19	and	and	CCONJ
cana-638	219	20	weight	weight	NOUN
cana-638	219	21	parameters	parameter	NOUN
cana-638	219	22	between	between	ADP
cana-638	219	23	the	the	DET
cana-638	219	24	input	input	NOUN
cana-638	219	25	and	and	CCONJ
cana-638	219	26	hidden	hidden	ADJ
cana-638	219	27	layers	layer	NOUN
cana-638	219	28	.	.	PUNCT
cana-638	220	1	to	to	PART
cana-638	220	2	overcome	overcome	VERB
cana-638	220	3	such	such	ADJ
cana-638	220	4	limitation	limitation	NOUN
cana-638	220	5	,	,	PUNCT
cana-638	220	6	the	the	DET
cana-638	220	7	kernel	kernel	PROPN
cana-638	220	8	function	function	NOUN
cana-638	220	9	is	be	AUX
cana-638	220	10	introduced	introduce	VERB
cana-638	220	11	in	in	ADP
cana-638	220	12	the	the	DET
cana-638	220	13	elm	elm	NOUN
cana-638	220	14	approach	approach	NOUN
cana-638	220	15	,	,	PUNCT
cana-638	220	16	which	which	PRON
cana-638	220	17	eliminates	eliminate	VERB
cana-638	220	18	the	the	DET
cana-638	220	19	weight	weight	NOUN
cana-638	220	20	initialization	initialization	NOUN
cana-638	220	21	procedure	procedure	NOUN
cana-638	220	22	in	in	ADP
cana-638	220	23	the	the	DET
cana-638	220	24	input	input	NOUN
cana-638	220	25	and	and	CCONJ
cana-638	220	26	hidden	hidden	ADJ
cana-638	220	27	layers	layer	NOUN
cana-638	220	28	by	by	ADP
cana-638	220	29	including	include	VERB
cana-638	220	30	the	the	DET
cana-638	220	31	kernel	kernel	PROPN
cana-638	220	32	matrix	matrix	NOUN
cana-638	220	33	.	.	PUNCT
cana-638	221	1	kelm	kelm	PROPN
cana-638	221	2	shows	show	VERB
cana-638	221	3	some	some	DET
cana-638	221	4	merits	merit	NOUN
cana-638	221	5	;	;	PUNCT
cana-638	221	6	while	while	SCONJ
cana-638	221	7	using	use	VERB
cana-638	221	8	kelm	kelm	PROPN
cana-638	221	9	,	,	PUNCT
cana-638	221	10	the	the	DET
cana-638	221	11	determination	determination	NOUN
cana-638	221	12	of	of	ADP
cana-638	221	13	hidden	hide	VERB
cana-638	221	14	layer	layer	NOUN
cana-638	221	15	size	size	NOUN
cana-638	221	16	is	be	AUX
cana-638	221	17	not	not	PART
cana-638	221	18	necessary	necessary	ADJ
cana-638	221	19	.	.	PUNCT
cana-638	222	1	moreover	moreover	ADV
cana-638	222	2	,	,	PUNCT
cana-638	222	3	it	it	PRON
cana-638	222	4	effectively	effectively	ADV
cana-638	222	5	explores	explore	VERB
cana-638	222	6	the	the	DET
cana-638	222	7	nonlinear	nonlinear	ADJ
cana-638	222	8	features	feature	NOUN
cana-638	222	9	.	.	PUNCT
cana-638	223	1	but	but	CCONJ
cana-638	223	2	,	,	PUNCT
cana-638	223	3	selecting	select	VERB
cana-638	223	4	the	the	DET
cana-638	223	5	best	good	ADJ
cana-638	223	6	kernel	kernel	NOUN
cana-638	223	7	function	function	NOUN
cana-638	223	8	is	be	AUX
cana-638	223	9	considered	consider	VERB
cana-638	223	10	the	the	DET
cana-638	223	11	major	major	ADJ
cana-638	223	12	contribution	contribution	NOUN
cana-638	223	13	of	of	ADP
cana-638	223	14	kelm	kelm	NOUN
cana-638	223	15	during	during	ADP
cana-638	223	16	classification	classification	NOUN
cana-638	223	17	.	.	PUNCT
cana-638	224	1	let	let	VERB
cana-638	224	2	x	x	PRON
cana-638	224	3	represents	represent	VERB
cana-638	224	4	the	the	DET
cana-638	224	5	total	total	ADJ
cana-638	224	6	training	training	NOUN
cana-638	224	7	samples	sample	NOUN
cana-638	224	8	,	,	PUNCT
cana-638	224	9	the	the	DET
cana-638	224	10	output	output	NOUN
cana-638	224	11	from	from	ADP
cana-638	224	12	the	the	DET
cana-638	224	13	neural	neural	ADJ
cana-638	224	14	network	network	NOUN
cana-638	224	15	is	be	AUX
cana-638	224	16	represented	represent	VERB
cana-638	224	17	as	as	ADP
cana-638	224	18	f	f	PROPN
cana-638	224	19	(	(	PUNCT
cana-638	224	20	x	x	NOUN
cana-638	224	21	)	)	PUNCT
cana-638	224	22	.	.	PUNCT
cana-638	225	1	the	the	DET
cana-638	225	2	slfnn	slfnn	NOUN
cana-638	225	3	having	have	VERB
cana-638	225	4	i	i	PRON
cana-638	225	5	hidden	hide	VERB
cana-638	225	6	nodes	node	NOUN
cana-638	225	7	is	be	AUX
cana-638	225	8	represented	represent	VERB
cana-638	225	9	using	use	VERB
cana-638	225	10	the	the	DET
cana-638	225	11	equation	equation	NOUN
cana-638	225	12	(	(	PUNCT
cana-638	225	13	14	14	NUM
cana-638	225	14	)	)	PUNCT
cana-638	225	15	.	.	PUNCT
cana-638	226	1	𝑓𝐸𝐿𝑀(𝑥	𝑓𝐸𝐿𝑀(𝑥	NOUN
cana-638	226	2	)	)	PUNCT
cana-638	226	3	=	=	SYM
cana-638	226	4	𝑊𝑇	𝑊𝑇	PROPN
cana-638	226	5	×	×	NOUN
cana-638	226	6	𝐾(𝑤	𝐾(𝑤	NOUN
cana-638	226	7	,	,	PUNCT
cana-638	226	8	𝑏	𝑏	NOUN
cana-638	226	9	,	,	PUNCT
cana-638	226	10	𝑥)--------(14	𝑥)--------(14	NUM
cana-638	226	11	)	)	PUNCT
cana-638	226	12	where	where	SCONJ
cana-638	226	13	,	,	PUNCT
cana-638	226	14	the	the	DET
cana-638	226	15	activation	activation	NOUN
cana-638	226	16	function	function	NOUN
cana-638	226	17	of	of	ADP
cana-638	226	18	the	the	DET
cana-638	226	19	hidden	hide	VERB
cana-638	226	20	layer	layer	NOUN
cana-638	226	21	is	be	AUX
cana-638	226	22	indicated	indicate	VERB
cana-638	226	23	as	as	ADP
cana-638	226	24	k	k	PROPN
cana-638	226	25	(	(	PUNCT
cana-638	226	26	w.	w.	PROPN
cana-638	226	27	b	b	PROPN
cana-638	226	28	,	,	PUNCT
cana-638	226	29	x	x	PROPN
cana-638	226	30	)	)	PUNCT
cana-638	226	31	,	,	PUNCT
cana-638	226	32	indicates	indicate	VERB
cana-638	226	33	the	the	DET
cana-638	226	34	bias	bias	NOUN
cana-638	226	35	weight	weight	NOUN
cana-638	226	36	of	of	ADP
cana-638	226	37	hidden	hide	VERB
cana-638	226	38	layer	layer	NOUN
cana-638	226	39	,	,	PUNCT
cana-638	226	40	weight	weight	NOUN
cana-638	226	41	obtained	obtain	VERB
cana-638	226	42	between	between	ADP
cana-638	226	43	the	the	DET
cana-638	226	44	hidden	hide	VERB
cana-638	226	45	and	and	CCONJ
cana-638	226	46	output	output	NOUN
cana-638	226	47	layer	layer	NOUN
cana-638	226	48	is	be	AUX
cana-638	226	49	denoted	denote	VERB
cana-638	226	50	as	as	ADP
cana-638	226	51	w=[𝛽1	w=[𝛽1	PROPN
cana-638	226	52	,	,	PUNCT
cana-638	226	53	𝛽2	𝛽2	NOUN
cana-638	226	54	,	,	PUNCT
cana-638	226	55	…	…	PUNCT
cana-638	226	56	.	.	PUNCT
cana-638	226	57	.	.	PUNCT
cana-638	227	1	𝛽3	𝛽3	PROPN
cana-638	227	2	]	]	PUNCT
cana-638	227	3	and	and	CCONJ
cana-638	227	4	the	the	DET
cana-638	227	5	input	input	NOUN
cana-638	227	6	weight	weight	NOUN
cana-638	227	7	connecting	connect	VERB
cana-638	227	8	the	the	DET
cana-638	227	9	input	input	NOUN
cana-638	227	10	and	and	CCONJ
cana-638	227	11	hidden	hide	VERB
cana-638	227	12	layer	layer	NOUN
cana-638	227	13	is	be	AUX
cana-638	227	14	denoted	denote	VERB
cana-638	227	15	as	as	SCONJ
cana-638	227	16	w.	w.	NOUN
cana-638	227	17	the	the	DET
cana-638	227	18	output	output	NOUN
cana-638	227	19	from	from	ADP
cana-638	227	20	the	the	DET
cana-638	227	21	hidden	hidden	ADJ
cana-638	227	22	layers	layer	NOUN
cana-638	227	23	and	and	CCONJ
cana-638	227	24	the	the	DET
cana-638	227	25	elm	elm	NOUN
cana-638	227	26	model	model	NOUN
cana-638	227	27	is	be	AUX
cana-638	227	28	represented	represent	VERB
cana-638	227	29	in	in	ADP
cana-638	227	30	equation	equation	NOUN
cana-638	227	31	(	(	PUNCT
cana-638	227	32	15	15	NUM
cana-638	227	33	)	)	PUNCT
cana-638	227	34	.	.	PUNCT
cana-638	228	1	𝑓𝐸𝐿𝑀(𝑥	𝑓𝐸𝐿𝑀(𝑥	NOUN
cana-638	228	2	)	)	PUNCT
cana-638	228	3	=	=	PUNCT
cana-638	228	4	ℎ(𝑥)𝐻𝑇	ℎ(𝑥)𝐻𝑇	NUM
cana-638	228	5	(	(	PUNCT
cana-638	228	6	𝐼	𝐼	ADP
cana-638	228	7	𝑃	𝑃	PROPN
cana-638	228	8	+	+	CCONJ
cana-638	228	9	𝐻𝐻𝑇	𝐻𝐻𝑇	PROPN
cana-638	228	10	)	)	PUNCT
cana-638	228	11	𝑇--------(15	𝑇--------(15	NOUN
cana-638	228	12	)	)	PUNCT
cana-638	228	13	the	the	DET
cana-638	228	14	output	output	NOUN
cana-638	228	15	of	of	ADP
cana-638	228	16	the	the	DET
cana-638	228	17	kelm	kelm	PROPN
cana-638	228	18	model	model	NOUN
cana-638	228	19	is	be	AUX
cana-638	228	20	represented	represent	VERB
cana-638	228	21	in	in	ADP
cana-638	228	22	equation	equation	NOUN
cana-638	228	23	(	(	PUNCT
cana-638	228	24	16	16	NUM
cana-638	228	25	)	)	PUNCT
cana-638	228	26	.	.	PUNCT
cana-638	229	1	𝑓𝐾𝐸𝐿𝑀(𝑥	𝑓𝐾𝐸𝐿𝑀(𝑥	NOUN
cana-638	229	2	)	)	PUNCT
cana-638	229	3	=	=	PUNCT
cana-638	230	1	ℎ(𝑥)𝐻𝑇	ℎ(𝑥)𝐻𝑇	NUM
cana-638	230	2	(	(	PUNCT
cana-638	230	3	𝐼	𝐼	ADP
cana-638	230	4	𝑃	𝑃	NOUN
cana-638	230	5	+	+	CCONJ
cana-638	230	6	𝜆)--------(16	𝜆)--------(16	NUM
cana-638	230	7	)	)	PUNCT
cana-638	230	8	communications	communication	NOUN
cana-638	230	9	on	on	ADP
cana-638	230	10	applied	apply	VERB
cana-638	230	11	nonlinear	nonlinear	ADJ
cana-638	230	12	analysis	analysis	NOUN
cana-638	230	13	issn	issn	NOUN
cana-638	230	14	:	:	PUNCT
cana-638	230	15	1074	1074	NUM
cana-638	230	16	-	-	PUNCT
cana-638	230	17	133x	133x	NUM
cana-638	230	18	vol	vol	NOUN
cana-638	230	19	31	31	NUM
cana-638	230	20	no	no	NOUN
cana-638	230	21	.	.	PUNCT
cana-638	231	1	2s	2s	NUM
cana-638	231	2	(	(	PUNCT
cana-638	231	3	2024	2024	NUM
cana-638	231	4	)	)	PUNCT
cana-638	231	5	243	243	NUM
cana-638	231	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	231	7	where	where	SCONJ
cana-638	231	8	,	,	PUNCT
cana-638	231	9	1	1	NUM
cana-638	231	10	𝑝	𝑝	NOUN
cana-638	231	11	represents	represent	VERB
cana-638	231	12	the	the	DET
cana-638	231	13	regularization	regularization	NOUN
cana-638	231	14	parameter	parameter	NOUN
cana-638	231	15	and	and	CCONJ
cana-638	231	16	t	t	PROPN
cana-638	231	17	represents	represent	VERB
cana-638	231	18	the	the	DET
cana-638	231	19	target	target	NOUN
cana-638	231	20	output	output	NOUN
cana-638	231	21	.	.	PUNCT
cana-638	232	1	kelm	kelm	PROPN
cana-638	232	2	is	be	AUX
cana-638	232	3	found	find	VERB
cana-638	232	4	better	well	ADJ
cana-638	232	5	than	than	ADP
cana-638	232	6	elm	elm	NOUN
cana-638	232	7	as	as	SCONJ
cana-638	232	8	it	it	PRON
cana-638	232	9	produces	produce	VERB
cana-638	232	10	less	less	ADV
cana-638	232	11	computational	computational	ADJ
cana-638	232	12	time	time	NOUN
cana-638	232	13	,	,	PUNCT
cana-638	232	14	whereas	whereas	SCONJ
cana-638	232	15	it	it	PRON
cana-638	232	16	does	do	AUX
cana-638	232	17	not	not	PART
cana-638	232	18	contain	contain	VERB
cana-638	232	19	any	any	DET
cana-638	232	20	random	random	ADJ
cana-638	232	21	feature	feature	NOUN
cana-638	232	22	mappings	mapping	NOUN
cana-638	232	23	.	.	PUNCT
cana-638	233	1	further	far	ADV
cana-638	233	2	,	,	PUNCT
cana-638	233	3	the	the	DET
cana-638	233	4	usage	usage	NOUN
cana-638	233	5	of	of	ADP
cana-638	233	6	the	the	DET
cana-638	233	7	kernel	kernel	NOUN
cana-638	233	8	in	in	ADP
cana-638	233	9	elm	elm	NOUN
cana-638	233	10	eliminates	eliminate	VERB
cana-638	233	11	the	the	DET
cana-638	233	12	need	need	NOUN
cana-638	233	13	of	of	ADP
cana-638	233	14	setting	set	VERB
cana-638	233	15	the	the	DET
cana-638	233	16	desired	desire	VERB
cana-638	233	17	number	number	NOUN
cana-638	233	18	of	of	ADP
cana-638	233	19	hidden	hide	VERB
cana-638	233	20	nodes	node	NOUN
cana-638	233	21	.	.	PUNCT
cana-638	234	1	next	next	ADV
cana-638	234	2	,	,	PUNCT
cana-638	234	3	the	the	DET
cana-638	234	4	sentiments	sentiment	NOUN
cana-638	234	5	present	present	VERB
cana-638	234	6	in	in	ADP
cana-638	234	7	and	and	CCONJ
cana-638	234	8	ham	ham	NOUN
cana-638	234	9	need	need	VERB
cana-638	234	10	to	to	PART
cana-638	234	11	evaluate	evaluate	VERB
cana-638	234	12	to	to	PART
cana-638	234	13	identify	identify	VERB
cana-638	234	14	each	each	DET
cana-638	234	15	tweet	tweet	NOUN
cana-638	234	16	's	's	PART
cana-638	234	17	sentimental	sentimental	ADJ
cana-638	234	18	intention	intention	NOUN
cana-638	234	19	.	.	PUNCT
cana-638	235	1	therefore	therefore	ADV
cana-638	235	2	,	,	PUNCT
cana-638	235	3	to	to	PART
cana-638	235	4	identify	identify	VERB
cana-638	235	5	such	such	ADJ
cana-638	235	6	sentiments	sentiment	NOUN
cana-638	235	7	from	from	ADP
cana-638	235	8	classified	classified	ADJ
cana-638	235	9	tweet	tweet	NOUN
cana-638	235	10	,	,	PUNCT
cana-638	235	11	the	the	DET
cana-638	235	12	optimization	optimization	NOUN
cana-638	235	13	hybrid	hybrid	NOUN
cana-638	235	14	frnn	frnn	NOUN
cana-638	235	15	is	be	AUX
cana-638	235	16	used	use	VERB
cana-638	235	17	.	.	PUNCT
cana-638	236	1	it	it	PRON
cana-638	236	2	takes	take	VERB
cana-638	236	3	the	the	DET
cana-638	236	4	selected	select	VERB
cana-638	236	5	features	feature	NOUN
cana-638	236	6	as	as	ADP
cana-638	236	7	input	input	NOUN
cana-638	236	8	and	and	CCONJ
cana-638	236	9	determines	determine	VERB
cana-638	236	10	the	the	DET
cana-638	236	11	sentiments	sentiment	NOUN
cana-638	236	12	(	(	PUNCT
cana-638	236	13	positive	positive	ADJ
cana-638	236	14	,	,	PUNCT
cana-638	236	15	negative	negative	ADJ
cana-638	236	16	,	,	PUNCT
cana-638	236	17	and	and	CCONJ
cana-638	236	18	neutral	neutral	ADJ
cana-638	236	19	)	)	PUNCT
cana-638	236	20	from	from	ADP
cana-638	236	21	the	the	DET
cana-638	236	22	and	and	CCONJ
cana-638	236	23	ham	ham	NOUN
cana-638	236	24	tweet	tweet	NOUN
cana-638	236	25	.	.	PUNCT
cana-638	237	1	the	the	DET
cana-638	237	2	architecture	architecture	NOUN
cana-638	237	3	of	of	ADP
cana-638	237	4	elm	elm	PROPN
cana-638	237	5	.	.	PUNCT
cana-638	238	1	figure	figure	NOUN
cana-638	238	2	2	2	NUM
cana-638	238	3	.	.	PUNCT
cana-638	239	1	architecture	architecture	NOUN
cana-638	239	2	of	of	ADP
cana-638	239	3	elm	elm	PROPN
cana-638	239	4	harris	harris	PROPN
cana-638	239	5	hawk	hawk	PROPN
cana-638	239	6	optimization	optimization	NOUN
cana-638	239	7	(	(	PUNCT
cana-638	239	8	hho	hho	NOUN
cana-638	239	9	)	)	PUNCT
cana-638	239	10	based	base	VERB
cana-638	239	11	recurrent	recurrent	ADJ
cana-638	239	12	fuzzy	fuzzy	ADJ
cana-638	239	13	neural	neural	ADJ
cana-638	239	14	network	network	NOUN
cana-638	239	15	(	(	PUNCT
cana-638	239	16	frnn	frnn	PROPN
cana-638	239	17	)	)	PUNCT
cana-638	239	18	for	for	ADP
cana-638	239	19	sentiment	sentiment	NOUN
cana-638	239	20	analysis	analysis	NOUN
cana-638	239	21	fuzzy	fuzzy	ADJ
cana-638	239	22	recurrent	recurrent	ADJ
cana-638	239	23	neural	neural	ADJ
cana-638	239	24	network	network	NOUN
cana-638	239	25	(	(	PUNCT
cana-638	239	26	frnn	frnn	PROPN
cana-638	239	27	)	)	PUNCT
cana-638	239	28	fuzzy	fuzzy	ADJ
cana-638	239	29	neural	neural	ADJ
cana-638	239	30	network	network	NOUN
cana-638	239	31	is	be	AUX
cana-638	239	32	extensively	extensively	ADV
cana-638	239	33	used	use	VERB
cana-638	239	34	in	in	ADP
cana-638	239	35	various	various	ADJ
cana-638	239	36	fields	field	NOUN
cana-638	239	37	,	,	PUNCT
cana-638	239	38	among	among	ADP
cana-638	239	39	that	that	DET
cana-638	239	40	frnn	frnn	NOUN
cana-638	239	41	is	be	AUX
cana-638	239	42	identified	identify	VERB
cana-638	239	43	as	as	ADP
cana-638	239	44	the	the	DET
cana-638	239	45	notable	notable	ADJ
cana-638	239	46	one	one	NUM
cana-638	239	47	.	.	PUNCT
cana-638	240	1	frnn	frnn	VERB
cana-638	240	2	contains	contain	VERB
cana-638	240	3	four	four	NUM
cana-638	240	4	different	different	ADJ
cana-638	240	5	layers	layer	NOUN
cana-638	240	6	they	they	PRON
cana-638	240	7	are	be	AUX
cana-638	240	8	input	input	ADJ
cana-638	240	9	layer	layer	NOUN
cana-638	240	10	,	,	PUNCT
cana-638	240	11	membership	membership	NOUN
cana-638	240	12	layer	layer	NOUN
cana-638	240	13	,	,	PUNCT
cana-638	240	14	fuzzy	fuzzy	ADJ
cana-638	240	15	layer	layer	NOUN
cana-638	240	16	,	,	PUNCT
cana-638	240	17	and	and	CCONJ
cana-638	240	18	output	output	NOUN
cana-638	240	19	layer	layer	NOUN
cana-638	240	20	.	.	PUNCT
cana-638	241	1	the	the	DET
cana-638	241	2	input	input	NOUN
cana-638	241	3	and	and	CCONJ
cana-638	241	4	output	output	NOUN
cana-638	241	5	provided	provide	VERB
cana-638	241	6	to	to	ADP
cana-638	241	7	the	the	DET
cana-638	241	8	node	node	NOUN
cana-638	241	9	i	i	PRON
cana-638	241	10	of	of	ADP
cana-638	241	11	the	the	DET
cana-638	241	12	layer	layer	NOUN
cana-638	241	13	k	k	PROPN
cana-638	241	14	is	be	AUX
cana-638	241	15	represented	represent	VERB
cana-638	241	16	as	as	ADP
cana-638	241	17	0𝑖	0𝑖	NOUN
cana-638	241	18	(	(	PUNCT
cana-638	241	19	𝑛	𝑛	NOUN
cana-638	241	20	)	)	PUNCT
cana-638	241	21	and	and	CCONJ
cana-638	241	22	𝑢𝑖	𝑢𝑖	INTJ
cana-638	241	23	(	(	PUNCT
cana-638	241	24	𝑘	𝑘	NOUN
cana-638	241	25	)	)	PUNCT
cana-638	241	26	.	.	PUNCT
cana-638	242	1	the	the	DET
cana-638	242	2	procedure	procedure	NOUN
cana-638	242	3	for	for	ADP
cana-638	242	4	frnn	frnn	NOUN
cana-638	242	5	is	be	AUX
cana-638	242	6	discussed	discuss	VERB
cana-638	242	7	below	below	ADV
cana-638	242	8	:	:	PUNCT
cana-638	242	9	layer	layer	NOUN
cana-638	242	10	1	1	NUM
cana-638	242	11	:	:	PUNCT
cana-638	242	12	initial	initial	ADJ
cana-638	242	13	layer	layer	NOUN
cana-638	242	14	is	be	AUX
cana-638	242	15	the	the	DET
cana-638	242	16	input	input	NOUN
cana-638	242	17	layer	layer	NOUN
cana-638	242	18	which	which	PRON
cana-638	242	19	contains	contain	VERB
cana-638	242	20	n	n	DET
cana-638	242	21	nodes	node	NOUN
cana-638	242	22	and	and	CCONJ
cana-638	242	23	a	a	DET
cana-638	242	24	parameter	parameter	NOUN
cana-638	242	25	has	have	AUX
cana-638	242	26	resembled	resemble	VERB
cana-638	242	27	in	in	ADP
cana-638	242	28	each	each	DET
cana-638	242	29	layer	layer	NOUN
cana-638	242	30	.	.	PUNCT
cana-638	243	1	the	the	DET
cana-638	243	2	features	feature	NOUN
cana-638	243	3	that	that	PRON
cana-638	243	4	are	be	AUX
cana-638	243	5	selected	select	VERB
cana-638	243	6	using	use	VERB
cana-638	243	7	the	the	DET
cana-638	243	8	pmi	pmi	NOUN
cana-638	243	9	,	,	PUNCT
cana-638	243	10	dfs	dfs	NOUN
cana-638	243	11	,	,	PUNCT
cana-638	243	12	and	and	CCONJ
cana-638	243	13	chi	chi	ADJ
cana-638	243	14	-	-	PUNCT
cana-638	243	15	square	square	NOUN
cana-638	243	16	are	be	AUX
cana-638	243	17	given	give	VERB
cana-638	243	18	as	as	ADP
cana-638	243	19	an	an	DET
cana-638	243	20	input	input	NOUN
cana-638	243	21	in	in	ADP
cana-638	243	22	this	this	DET
cana-638	243	23	first	first	ADJ
cana-638	243	24	layer	layer	NOUN
cana-638	243	25	.	.	PUNCT
cana-638	244	1	𝑂𝑖	𝑂𝑖	PROPN
cana-638	244	2	(	(	PUNCT
cana-638	244	3	1	1	NUM
cana-638	244	4	)	)	PUNCT
cana-638	244	5	=	=	NOUN
cana-638	244	6	𝑢𝑖	𝑢𝑖	NOUN
cana-638	244	7	(	(	PUNCT
cana-638	244	8	1	1	NUM
cana-638	244	9	)	)	PUNCT
cana-638	244	10	=	=	SYM
cana-638	244	11	𝑥𝑖	𝑥𝑖	PROPN
cana-638	244	12	,	,	PUNCT
cana-638	244	13	𝑤ℎ𝑒𝑟𝑒	𝑤ℎ𝑒𝑟𝑒	ADJ
cana-638	244	14	,	,	PUNCT
cana-638	244	15	𝑖	𝑖	SYM
cana-638	244	16	=	=	SYM
cana-638	244	17	1	1	NUM
cana-638	244	18	÷	÷	NUM
cana-638	244	19	𝑀--------(17	𝑀--------(17	PROPN
cana-638	244	20	)	)	PUNCT
cana-638	244	21	layer	layer	NOUN
cana-638	244	22	2	2	NUM
cana-638	244	23	:	:	PUNCT
cana-638	244	24	the	the	DET
cana-638	244	25	second	second	ADJ
cana-638	244	26	layer	layer	NOUN
cana-638	244	27	is	be	AUX
cana-638	244	28	the	the	DET
cana-638	244	29	membership	membership	NOUN
cana-638	244	30	layer	layer	NOUN
cana-638	244	31	.	.	PUNCT
cana-638	245	1	in	in	ADP
cana-638	245	2	this	this	DET
cana-638	245	3	layer	layer	NOUN
cana-638	245	4	,	,	PUNCT
cana-638	245	5	the	the	DET
cana-638	245	6	gauss	gauss	NOUN
cana-638	245	7	function	function	NOUN
cana-638	245	8	is	be	AUX
cana-638	245	9	used	use	VERB
cana-638	245	10	as	as	ADP
cana-638	245	11	a	a	DET
cana-638	245	12	membership	membership	NOUN
cana-638	245	13	function	function	NOUN
cana-638	245	14	which	which	PRON
cana-638	245	15	changes	change	VERB
cana-638	245	16	the	the	DET
cana-638	245	17	data	datum	NOUN
cana-638	245	18	in	in	ADP
cana-638	245	19	the	the	DET
cana-638	245	20	nodes	node	NOUN
cana-638	245	21	of	of	ADP
cana-638	245	22	the	the	DET
cana-638	245	23	second	second	ADJ
cana-638	245	24	layer	layer	NOUN
cana-638	245	25	in	in	ADP
cana-638	245	26	crisp	crisp	ADJ
cana-638	245	27	form	form	NOUN
cana-638	245	28	.	.	PUNCT
cana-638	246	1	the	the	DET
cana-638	246	2	neural	neural	ADJ
cana-638	246	3	node	node	NOUN
cana-638	246	4	in	in	ADP
cana-638	246	5	this	this	DET
cana-638	246	6	second	second	ADJ
cana-638	246	7	layer	layer	NOUN
cana-638	246	8	is	be	AUX
cana-638	246	9	denoted	denote	VERB
cana-638	246	10	as	as	ADP
cana-638	246	11	n	n	NOUN
cana-638	246	12	x	x	NOUN
cana-638	246	13	m	m	NOUN
cana-638	246	14	,	,	PUNCT
cana-638	246	15	where	where	SCONJ
cana-638	246	16	m	m	NOUN
cana-638	246	17	represents	represent	VERB
cana-638	246	18	the	the	DET
cana-638	246	19	fuzzy	fuzzy	ADJ
cana-638	246	20	rules	rule	NOUN
cana-638	246	21	.	.	PUNCT
cana-638	247	1	three	three	NUM
cana-638	247	2	parameters	parameter	NOUN
cana-638	247	3	,	,	PUNCT
cana-638	247	4	𝑜𝑖𝑗	𝑜𝑖𝑗	NOUN
cana-638	247	5	,	,	PUNCT
cana-638	247	6	ij	ij	NOUN
cana-638	247	7	and	and	CCONJ
cana-638	247	8	𝑚𝑖𝑗	𝑚𝑖𝑗	NOUN
cana-638	247	9	are	be	AUX
cana-638	247	10	included	include	VERB
cana-638	247	11	in	in	ADP
cana-638	247	12	every	every	DET
cana-638	247	13	node	node	ADJ
cana-638	247	14	𝑂𝑖𝑗	𝑂𝑖𝑗	PROPN
cana-638	247	15	(	(	PUNCT
cana-638	247	16	2	2	NUM
cana-638	247	17	)	)	PUNCT
cana-638	247	18	=	=	PRON
cana-638	248	1	𝑒𝑥𝑝	𝑒𝑥𝑝	INTJ
cana-638	249	1	[	[	X
cana-638	249	2	−	−	X
cana-638	249	3	(	(	PUNCT
cana-638	249	4	𝑂𝑖𝑗	𝑂𝑖𝑗	NOUN
cana-638	249	5	(	(	PUNCT
cana-638	249	6	2	2	NUM
cana-638	249	7	)	)	PUNCT
cana-638	249	8	−𝑚𝑖𝑗)2	−𝑚𝑖𝑗)2	PROPN
cana-638	249	9	𝜎	𝜎	PROPN
cana-638	249	10	𝑖𝑗	𝑖𝑗	X
cana-638	249	11	]	]	X
cana-638	249	12	,	,	PUNCT
cana-638	249	13	𝑤ℎ𝑒𝑟𝑒	𝑤ℎ𝑒𝑟𝑒	NOUN
cana-638	249	14	,	,	PUNCT
cana-638	249	15	𝑖	𝑖	NOUN
cana-638	249	16	=	=	SYM
cana-638	249	17	1	1	NUM
cana-638	249	18	÷	÷	PUNCT
cana-638	249	19	𝑁	𝑁	PROPN
cana-638	249	20	,	,	PUNCT
cana-638	249	21	𝑗	𝑗	NOUN
cana-638	249	22	=	=	SYM
cana-638	249	23	1	1	NUM
cana-638	249	24	÷	÷	NUM
cana-638	249	25	𝑀--------(18	𝑀--------(18	PROPN
cana-638	249	26	)	)	PUNCT
cana-638	249	27	where	where	SCONJ
cana-638	249	28	,	,	PUNCT
cana-638	249	29	the	the	DET
cana-638	249	30	variance	variance	NOUN
cana-638	249	31	and	and	CCONJ
cana-638	249	32	centre	centre	NOUN
cana-638	249	33	corresponding	correspond	VERB
cana-638	249	34	to	to	ADP
cana-638	249	35	the	the	DET
cana-638	249	36	gauss	gauss	ADJ
cana-638	249	37	distribution	distribution	NOUN
cana-638	249	38	function	function	NOUN
cana-638	249	39	is	be	AUX
cana-638	249	40	represented	represent	VERB
cana-638	249	41	as	as	ADP
cana-638	249	42	𝑜𝑖𝑗	𝑜𝑖𝑗	NOUN
cana-638	249	43	and	and	CCONJ
cana-638	249	44	𝑚𝑖𝑗.	𝑚𝑖𝑗.	NUM
cana-638	249	45	communications	communication	NOUN
cana-638	249	46	on	on	ADP
cana-638	249	47	applied	apply	VERB
cana-638	249	48	nonlinear	nonlinear	ADJ
cana-638	249	49	analysis	analysis	NOUN
cana-638	249	50	issn	issn	NOUN
cana-638	249	51	:	:	PUNCT
cana-638	249	52	1074	1074	NUM
cana-638	249	53	-	-	PUNCT
cana-638	249	54	133x	133x	NUM
cana-638	249	55	vol	vol	NOUN
cana-638	249	56	31	31	NUM
cana-638	249	57	no	no	NOUN
cana-638	249	58	.	.	PUNCT
cana-638	250	1	2s	2s	NUM
cana-638	250	2	(	(	PUNCT
cana-638	250	3	2024	2024	NUM
cana-638	250	4	)	)	PUNCT
cana-638	250	5	244	244	NUM
cana-638	250	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	250	7	𝑢𝑖𝑗	𝑢𝑖𝑗	NOUN
cana-638	250	8	(	(	PUNCT
cana-638	250	9	2	2	NUM
cana-638	250	10	)	)	PUNCT
cana-638	250	11	(	(	PUNCT
cana-638	250	12	𝑡	𝑡	NOUN
cana-638	250	13	)	)	PUNCT
cana-638	250	14	=	=	SYM
cana-638	251	1	𝑂𝑖	𝑂𝑖	PROPN
cana-638	251	2	1	1	NUM
cana-638	251	3	+	+	CCONJ
cana-638	251	4	𝜃𝑖𝑗𝑂𝑖𝑗	𝜃𝑖𝑗𝑂𝑖𝑗	NOUN
cana-638	251	5	2	2	NUM
cana-638	251	6	(	(	PUNCT
cana-638	251	7	𝑡	𝑡	X
cana-638	251	8	−	−	PROPN
cana-638	251	9	1	1	NUM
cana-638	251	10	)	)	PUNCT
cana-638	251	11	,	,	PUNCT
cana-638	251	12	𝑤ℎ𝑒𝑟𝑒	𝑤ℎ𝑒𝑟𝑒	NOUN
cana-638	251	13	,	,	PUNCT
cana-638	251	14	𝑖	𝑖	NOUN
cana-638	251	15	=	=	SYM
cana-638	251	16	1	1	NUM
cana-638	251	17	÷	÷	PUNCT
cana-638	251	18	𝑁	𝑁	PROPN
cana-638	251	19	,	,	PUNCT
cana-638	251	20	𝑗	𝑗	NOUN
cana-638	251	21	=	=	SYM
cana-638	251	22	1	1	NUM
cana-638	251	23	÷	÷	NUM
cana-638	251	24	𝑀--------(19	𝑀--------(19	PROPN
cana-638	251	25	)	)	PUNCT
cana-638	251	26	where	where	SCONJ
cana-638	251	27	,	,	PUNCT
cana-638	251	28	the	the	DET
cana-638	251	29	weight	weight	NOUN
cana-638	251	30	corresponding	correspond	VERB
cana-638	251	31	to	to	ADP
cana-638	251	32	the	the	DET
cana-638	251	33	recurrent	recurrent	ADJ
cana-638	251	34	nodes	node	NOUN
cana-638	251	35	is	be	AUX
cana-638	251	36	represented	represent	VERB
cana-638	251	37	as	as	ADP
cana-638	251	38	𝑜𝑖𝑗	𝑜𝑖𝑗	NOUN
cana-638	251	39	in	in	ADP
cana-638	251	40	this	this	DET
cana-638	251	41	second	second	ADJ
cana-638	251	42	layer	layer	NOUN
cana-638	251	43	,	,	PUNCT
cana-638	251	44	the	the	DET
cana-638	251	45	factor	factor	NOUN
cana-638	251	46	0𝑖𝑗	0𝑖𝑗	NOUN
cana-638	251	47	2	2	NUM
cana-638	251	48	(	(	PUNCT
cana-638	251	49	t-1	t-1	PROPN
cana-638	251	50	)	)	PUNCT
cana-638	251	51	is	be	AUX
cana-638	251	52	included	include	VERB
cana-638	251	53	at	at	ADP
cana-638	251	54	each	each	DET
cana-638	251	55	input	input	NOUN
cana-638	251	56	nodes	node	NOUN
cana-638	251	57	.	.	PUNCT
cana-638	252	1	the	the	DET
cana-638	252	2	previous	previous	ADJ
cana-638	252	3	learning	learning	NOUN
cana-638	252	4	procedure	procedure	NOUN
cana-638	252	5	estimates	estimate	VERB
cana-638	252	6	the	the	DET
cana-638	252	7	residual	residual	ADJ
cana-638	252	8	data	datum	NOUN
cana-638	252	9	which	which	PRON
cana-638	252	10	is	be	AUX
cana-638	252	11	illustrated	illustrate	VERB
cana-638	252	12	by	by	ADP
cana-638	252	13	the	the	DET
cana-638	252	14	introduced	introduce	VERB
cana-638	252	15	factor	factor	NOUN
cana-638	252	16	at	at	ADP
cana-638	252	17	this	this	DET
cana-638	252	18	second	second	ADJ
cana-638	252	19	layer	layer	NOUN
cana-638	252	20	.	.	PUNCT
cana-638	253	1	then	then	ADV
cana-638	253	2	,	,	PUNCT
cana-638	253	3	based	base	VERB
cana-638	253	4	on	on	ADP
cana-638	253	5	equation	equation	NOUN
cana-638	253	6	(	(	PUNCT
cana-638	253	7	18	18	NUM
cana-638	253	8	)	)	PUNCT
cana-638	253	9	replace	replace	NOUN
cana-638	253	10	𝑢𝑖𝑗	𝑢𝑖𝑗	NOUN
cana-638	253	11	(	(	PUNCT
cana-638	253	12	2	2	NUM
cana-638	253	13	)	)	PUNCT
cana-638	253	14	from	from	ADP
cana-638	253	15	equation	equation	NOUN
cana-638	253	16	(	(	PUNCT
cana-638	253	17	19	19	NUM
cana-638	253	18	)	)	PUNCT
cana-638	253	19	to	to	PART
cana-638	253	20	obtain	obtain	VERB
cana-638	253	21	equation	equation	NOUN
cana-638	253	22	(	(	PUNCT
cana-638	253	23	20	20	NUM
cana-638	253	24	)	)	PUNCT
cana-638	253	25	.	.	PUNCT
cana-638	254	1	𝑂𝑖𝑗	𝑂𝑖𝑗	NOUN
cana-638	254	2	(	(	PUNCT
cana-638	254	3	2	2	NUM
cana-638	254	4	)	)	PUNCT
cana-638	254	5	=	=	NOUN
cana-638	254	6	exp	exp	NOUN
cana-638	255	1	[	[	X
cana-638	255	2	−	−	X
cana-638	255	3	[	[	PUNCT
cana-638	255	4	𝑥𝑖(𝑡)+𝜃𝑖𝑗𝑂𝑖𝑗	𝑥𝑖(𝑡)+𝜃𝑖𝑗𝑂𝑖𝑗	NUM
cana-638	255	5	2	2	NUM
cana-638	255	6	(	(	PUNCT
cana-638	255	7	𝑡−1)−𝑚𝑖𝑗	𝑡−1)−𝑚𝑖𝑗	PROPN
cana-638	255	8	(	(	PUNCT
cana-638	255	9	𝜎𝑖𝑗)2	𝜎𝑖𝑗)2	PROPN
cana-638	255	10	]	]	NUM
cana-638	255	11	2]--------(20	2]--------(20	NUM
cana-638	255	12	)	)	PUNCT
cana-638	255	13	layer	layer	NOUN
cana-638	255	14	3	3	NUM
cana-638	255	15	:	:	PUNCT
cana-638	255	16	in	in	ADP
cana-638	255	17	the	the	DET
cana-638	255	18	third	third	ADJ
cana-638	255	19	layer	layer	NOUN
cana-638	255	20	,	,	PUNCT
cana-638	255	21	fuzzy	fuzzy	ADJ
cana-638	255	22	rules	rule	NOUN
cana-638	255	23	are	be	AUX
cana-638	255	24	used	use	VERB
cana-638	255	25	.	.	PUNCT
cana-638	256	1	layers	layer	NOUN
cana-638	256	2	3	3	NUM
cana-638	256	3	and	and	CCONJ
cana-638	256	4	4	4	NUM
cana-638	256	5	are	be	AUX
cana-638	256	6	concatenated	concatenate	VERB
cana-638	256	7	to	to	PART
cana-638	256	8	conclude	conclude	VERB
cana-638	256	9	the	the	DET
cana-638	256	10	available	available	ADJ
cana-638	256	11	fuzzy	fuzzy	ADJ
cana-638	256	12	rules	rule	NOUN
cana-638	256	13	.	.	PUNCT
cana-638	257	1	each	each	DET
cana-638	257	2	node	node	NOUN
cana-638	257	3	in	in	ADP
cana-638	257	4	this	this	DET
cana-638	257	5	third	third	ADJ
cana-638	257	6	layer	layer	NOUN
cana-638	257	7	is	be	AUX
cana-638	257	8	resembled	resemble	VERB
cana-638	257	9	with	with	ADP
cana-638	257	10	and	and	CCONJ
cana-638	257	11	operation	operation	NOUN
cana-638	257	12	.	.	PUNCT
cana-638	258	1	the	the	DET
cana-638	258	2	expression	expression	NOUN
cana-638	258	3	for	for	ADP
cana-638	258	4	each	each	PRON
cana-638	258	5	and	and	CCONJ
cana-638	258	6	operation	operation	NOUN
cana-638	258	7	is	be	AUX
cana-638	258	8	given	give	VERB
cana-638	258	9	in	in	ADP
cana-638	258	10	equations	equation	NOUN
cana-638	258	11	(	(	PUNCT
cana-638	258	12	21	21	NUM
cana-638	258	13	,	,	PUNCT
cana-638	258	14	22	22	NUM
cana-638	258	15	)	)	PUNCT
cana-638	258	16	.	.	PUNCT
cana-638	259	1	𝑂𝑗	𝑂𝑗	ADP
cana-638	259	2	(	(	PUNCT
cana-638	259	3	2	2	NUM
cana-638	259	4	)	)	PUNCT
cana-638	259	5	=	=	SYM
cana-638	260	1	∏	∏	PROPN
cana-638	260	2	𝑂𝑖𝑗	𝑂𝑖𝑗	PROPN
cana-638	260	3	2	2	NUM
cana-638	260	4	𝑛	𝑛	PRON
cana-638	260	5	𝑖=1	𝑖=1	PROPN
cana-638	260	6	--------(21	--------(21	ADJ
cana-638	260	7	)	)	PUNCT
cana-638	260	8	𝑂𝑗	𝑂𝑗	PROPN
cana-638	260	9	(	(	PUNCT
cana-638	260	10	2	2	NUM
cana-638	260	11	)	)	PUNCT
cana-638	260	12	=	=	SYM
cana-638	260	13	∏	∏	PROPN
cana-638	260	14	𝑒𝑥𝑝	𝑒𝑥𝑝	INTJ
cana-638	260	15	𝑁	𝑁	PROPN
cana-638	260	16	𝑖=1	𝑖=1	PROPN
cana-638	261	1	[	[	X
cana-638	261	2	−	−	X
cana-638	261	3	[	[	X
cana-638	261	4	𝑥𝑖(𝑡)+𝜃𝑖𝑗𝑂𝑖𝑗	𝑥𝑖(𝑡)+𝜃𝑖𝑗𝑂𝑖𝑗	NUM
cana-638	261	5	2	2	NUM
cana-638	261	6	(	(	PUNCT
cana-638	261	7	𝑡−1)−𝑚𝑖𝑗]2	𝑡−1)−𝑚𝑖𝑗]2	VERB
cana-638	261	8	(	(	PUNCT
cana-638	261	9	𝜎𝑖𝑗)2	𝜎𝑖𝑗)2	PROPN
cana-638	261	10	]	]	PUNCT
cana-638	261	11	𝑤ℎ𝑒𝑟𝑒	𝑤ℎ𝑒𝑟𝑒	NOUN
cana-638	261	12	,	,	PUNCT
cana-638	261	13	𝑗	𝑗	NOUN
cana-638	261	14	=	=	SYM
cana-638	261	15	1	1	NUM
cana-638	261	16	÷	÷	SYM
cana-638	261	17	𝑀--------(22	𝑀--------(22	PROPN
cana-638	261	18	)	)	PUNCT
cana-638	261	19	layer	layer	NOUN
cana-638	261	20	4	4	NUM
cana-638	261	21	:	:	PUNCT
cana-638	261	22	the	the	DET
cana-638	261	23	output	output	NOUN
cana-638	261	24	layer	layer	NOUN
cana-638	261	25	is	be	AUX
cana-638	261	26	the	the	DET
cana-638	261	27	fourth	fourth	ADJ
cana-638	261	28	layer	layer	NOUN
cana-638	261	29	which	which	PRON
cana-638	261	30	contains	contain	VERB
cana-638	261	31	p	p	NOUN
cana-638	261	32	nodes	node	NOUN
cana-638	261	33	.	.	PUNCT
cana-638	262	1	initially	initially	ADV
cana-638	262	2	,	,	PUNCT
cana-638	262	3	the	the	DET
cana-638	262	4	p	p	NOUN
cana-638	262	5	is	be	AUX
cana-638	262	6	set	set	VERB
cana-638	262	7	as	as	ADP
cana-638	262	8	1	1	NUM
cana-638	262	9	,	,	PUNCT
cana-638	262	10	which	which	PRON
cana-638	262	11	is	be	AUX
cana-638	262	12	considered	consider	VERB
cana-638	262	13	the	the	DET
cana-638	262	14	river	river	NOUN
cana-638	262	15	run	run	VERB
cana-638	262	16	-	-	PUNCT
cana-638	262	17	off	off	ADP
cana-638	262	18	value	value	NOUN
cana-638	262	19	.	.	PUNCT
cana-638	263	1	this	this	DET
cana-638	263	2	layer	layer	NOUN
cana-638	263	3	also	also	ADV
cana-638	263	4	liable	liable	ADJ
cana-638	263	5	to	to	PART
cana-638	263	6	convert	convert	VERB
cana-638	263	7	the	the	DET
cana-638	263	8	fuzzy	fuzzy	ADJ
cana-638	263	9	data	datum	NOUN
cana-638	263	10	into	into	ADP
cana-638	263	11	a	a	DET
cana-638	263	12	crisp	crisp	ADJ
cana-638	263	13	form	form	NOUN
cana-638	263	14	.	.	PUNCT
cana-638	264	1	𝑦𝑘	𝑦𝑘	X
cana-638	265	1	=	=	PUNCT
cana-638	265	2	𝑂𝑘	𝑂𝑘	PROPN
cana-638	265	3	(	(	PUNCT
cana-638	265	4	4	4	NUM
cana-638	265	5	)	)	PUNCT
cana-638	265	6	=	=	PUNCT
cana-638	265	7	∑	∑	PROPN
cana-638	265	8	𝑢𝑗𝑘	𝑢𝑗𝑘	NUM
cana-638	265	9	(	(	PUNCT
cana-638	265	10	4	4	NUM
cana-638	265	11	)	)	PUNCT
cana-638	265	12	𝑤𝑗𝑘	𝑤𝑗𝑘	NOUN
cana-638	265	13	=	=	PUNCT
cana-638	265	14	∑	∑	PUNCT
cana-638	265	15	𝑢𝑗𝑘	𝑢𝑗𝑘	NUM
cana-638	265	16	(	(	PUNCT
cana-638	265	17	3	3	NUM
cana-638	265	18	)	)	PUNCT
cana-638	265	19	𝑤𝑗𝑘	𝑤𝑗𝑘	NOUN
cana-638	265	20	𝑀	𝑀	PROPN
cana-638	265	21	𝑗=1	𝑗=1	PROPN
cana-638	265	22	𝑀	𝑀	PROPN
cana-638	265	23	𝑗=1	𝑗=1	PROPN
cana-638	265	24	--------(23	--------(23	PROPN
cana-638	265	25	)	)	PUNCT
cana-638	265	26	𝑦𝑘	𝑦𝑘	NOUN
cana-638	265	27	=	=	PUNCT
cana-638	265	28	∑	∑	PUNCT
cana-638	265	29	𝑤𝑗𝑘	𝑤𝑗𝑘	VERB
cana-638	265	30	𝑀	𝑀	PROPN
cana-638	265	31	𝑗=1	𝑗=1	PROPN
cana-638	265	32	∏	∏	PROPN
cana-638	265	33	𝑒𝑥𝑝	𝑒𝑥𝑝	INTJ
cana-638	265	34	𝑁	𝑁	PROPN
cana-638	265	35	𝑖=1	𝑖=1	PROPN
cana-638	266	1	[	[	X
cana-638	266	2	−	−	X
cana-638	266	3	[	[	X
cana-638	266	4	𝑥𝑖(𝑡)+𝜃𝑖𝑗𝑂𝑖𝑗	𝑥𝑖(𝑡)+𝜃𝑖𝑗𝑂𝑖𝑗	NUM
cana-638	266	5	2	2	NUM
cana-638	266	6	(	(	PUNCT
cana-638	266	7	𝑡−1)−𝑚𝑖𝑗]2	𝑡−1)−𝑚𝑖𝑗]2	VERB
cana-638	266	8	(	(	PUNCT
cana-638	266	9	𝜎𝑖𝑗)2	𝜎𝑖𝑗)2	PROPN
cana-638	266	10	]	]	PUNCT
cana-638	266	11	𝑤ℎ𝑒𝑟𝑒	𝑤ℎ𝑒𝑟𝑒	NOUN
cana-638	266	12	,	,	PUNCT
cana-638	266	13	𝐾	𝐾	PROPN
cana-638	266	14	=	=	SYM
cana-638	266	15	1	1	NUM
cana-638	266	16	÷	÷	NUM
cana-638	266	17	𝑃--------(24	𝑃--------(24	NOUN
cana-638	266	18	)	)	PUNCT
cana-638	266	19	after	after	ADP
cana-638	266	20	initializing	initialize	VERB
cana-638	266	21	the	the	DET
cana-638	266	22	frnn	frnn	NOUN
cana-638	266	23	architecture	architecture	NOUN
cana-638	266	24	,	,	PUNCT
cana-638	266	25	the	the	DET
cana-638	266	26	hho	hho	NOUN
cana-638	266	27	algorithm	algorithm	NOUN
cana-638	266	28	is	be	AUX
cana-638	266	29	integrated	integrate	VERB
cana-638	266	30	with	with	ADP
cana-638	266	31	frnn	frnn	NOUN
cana-638	266	32	to	to	PART
cana-638	266	33	accomplish	accomplish	VERB
cana-638	266	34	the	the	DET
cana-638	266	35	training	training	NOUN
cana-638	266	36	process	process	NOUN
cana-638	266	37	.	.	PUNCT
cana-638	267	1	while	while	SCONJ
cana-638	267	2	compared	compare	VERB
cana-638	267	3	with	with	ADP
cana-638	267	4	other	other	ADJ
cana-638	267	5	algorithms	algorithm	NOUN
cana-638	267	6	,	,	PUNCT
cana-638	267	7	the	the	DET
cana-638	267	8	behaviour	behaviour	NOUN
cana-638	267	9	shown	show	VERB
cana-638	267	10	by	by	ADP
cana-638	267	11	hho	hho	NOUN
cana-638	267	12	is	be	AUX
cana-638	267	13	found	find	VERB
cana-638	267	14	inspiring	inspire	VERB
cana-638	267	15	in	in	ADP
cana-638	267	16	this	this	DET
cana-638	267	17	classification	classification	NOUN
cana-638	267	18	process	process	NOUN
cana-638	267	19	.	.	PUNCT
cana-638	268	1	harris	harris	PROPN
cana-638	268	2	hawk	hawk	PROPN
cana-638	268	3	optimization	optimization	NOUN
cana-638	268	4	(	(	PUNCT
cana-638	268	5	hho	hho	NOUN
cana-638	268	6	)	)	PUNCT
cana-638	268	7	in	in	ADP
cana-638	268	8	this	this	DET
cana-638	268	9	approach	approach	NOUN
cana-638	268	10	,	,	PUNCT
cana-638	268	11	a	a	DET
cana-638	268	12	hybrid	hybrid	NOUN
cana-638	268	13	the	the	DET
cana-638	268	14	hho	hho	NOUN
cana-638	268	15	algorithm	algorithm	NOUN
cana-638	268	16	with	with	ADP
cana-638	268	17	frnn	frnn	NOUN
cana-638	268	18	for	for	ADP
cana-638	268	19	identifying	identify	VERB
cana-638	268	20	the	the	DET
cana-638	268	21	optimal	optimal	ADJ
cana-638	268	22	weight	weight	NOUN
cana-638	268	23	parameter	parameter	NOUN
cana-638	268	24	.	.	PUNCT
cana-638	269	1	the	the	DET
cana-638	269	2	hunting	hunt	VERB
cana-638	269	3	process	process	NOUN
cana-638	269	4	of	of	ADP
cana-638	269	5	hho	hho	NOUN
cana-638	269	6	comprises	comprise	VERB
cana-638	269	7	four	four	NUM
cana-638	269	8	different	different	ADJ
cana-638	269	9	activities	activity	NOUN
cana-638	269	10	:	:	PUNCT
cana-638	269	11	tracking	tracking	NOUN
cana-638	269	12	,	,	PUNCT
cana-638	269	13	encircling	encircle	VERB
cana-638	269	14	,	,	PUNCT
cana-638	269	15	approaching	approach	VERB
cana-638	269	16	,	,	PUNCT
cana-638	269	17	and	and	CCONJ
cana-638	269	18	attacking	attack	VERB
cana-638	269	19	.	.	PUNCT
cana-638	270	1	normally	normally	ADV
cana-638	270	2	,	,	PUNCT
cana-638	270	3	the	the	DET
cana-638	270	4	entire	entire	ADJ
cana-638	270	5	hunting	hunting	NOUN
cana-638	270	6	process	process	NOUN
cana-638	270	7	is	be	AUX
cana-638	270	8	bagged	bag	VERB
cana-638	270	9	up	up	ADP
cana-638	270	10	into	into	ADP
cana-638	270	11	three	three	NUM
cana-638	270	12	main	main	ADJ
cana-638	270	13	phases	phase	NOUN
cana-638	270	14	:	:	PUNCT
cana-638	270	15	exploration	exploration	NOUN
cana-638	270	16	,	,	PUNCT
cana-638	270	17	con	con	NOUN
cana-638	270	18	version	version	NOUN
cana-638	270	19	from	from	ADP
cana-638	270	20	exploration	exploration	NOUN
cana-638	270	21	to	to	ADP
cana-638	270	22	exploitation	exploitation	NOUN
cana-638	270	23	,	,	PUNCT
cana-638	270	24	and	and	CCONJ
cana-638	270	25	exploitation	exploitation	NOUN
cana-638	270	26	.	.	PUNCT
cana-638	271	1	the	the	DET
cana-638	271	2	flowchart	flowchart	NOUN
cana-638	271	3	for	for	ADP
cana-638	271	4	the	the	DET
cana-638	271	5	hho	hho	NOUN
cana-638	271	6	algorithm	algorithm	NOUN
cana-638	271	7	is	be	AUX
cana-638	271	8	shown	show	VERB
cana-638	271	9	in	in	ADP
cana-638	271	10	figure	figure	NOUN
cana-638	271	11	3	3	NUM
cana-638	271	12	.	.	PUNCT
cana-638	272	1	after	after	ADP
cana-638	272	2	completing	complete	VERB
cana-638	272	3	the	the	DET
cana-638	272	4	searching	searching	NOUN
cana-638	272	5	phase	phase	NOUN
cana-638	272	6	,	,	PUNCT
cana-638	272	7	initiate	initiate	VERB
cana-638	272	8	the	the	DET
cana-638	272	9	first	first	ADJ
cana-638	272	10	stage	stage	NOUN
cana-638	272	11	by	by	ADP
cana-638	272	12	discovering	discover	VERB
cana-638	272	13	the	the	DET
cana-638	272	14	prey	prey	NOUN
cana-638	272	15	(	(	PUNCT
cana-638	272	16	rabbit	rabbit	NOUN
cana-638	272	17	)	)	PUNCT
cana-638	272	18	position	position	NOUN
cana-638	272	19	.	.	PUNCT
cana-638	273	1	then	then	ADV
cana-638	273	2	,	,	PUNCT
cana-638	273	3	the	the	DET
cana-638	273	4	hawks	hawk	NOUN
cana-638	273	5	define	define	VERB
cana-638	273	6	their	their	PRON
cana-638	273	7	position	position	NOUN
cana-638	273	8	based	base	VERB
cana-638	273	9	on	on	ADP
cana-638	273	10	the	the	DET
cana-638	273	11	randomly	randomly	ADV
cana-638	273	12	generated	generate	VERB
cana-638	273	13	solution	solution	NOUN
cana-638	273	14	,	,	PUNCT
cana-638	273	15	𝑋𝑟𝑎𝑛𝑑	𝑋𝑟𝑎𝑛𝑑	PROPN
cana-638	273	16	.	.	PUNCT
cana-638	274	1	𝑋(𝑡	𝑋(𝑡	ADV
cana-638	274	2	−	−	NOUN
cana-638	274	3	1	1	NUM
cana-638	274	4	)	)	PUNCT
cana-638	274	5	=	=	PRON
cana-638	274	6	{	{	PUNCT
cana-638	274	7	(	(	PUNCT
cana-638	274	8	𝑋𝑟𝑎𝑏𝑏𝑖𝑡(𝑡	𝑋𝑟𝑎𝑏𝑏𝑖𝑡(𝑡	NOUN
cana-638	274	9	)	)	PUNCT
cana-638	274	10	−	−	NOUN
cana-638	274	11	𝑋𝑚(𝑡	𝑋𝑚(𝑡	NUM
cana-638	274	12	)	)	PUNCT
cana-638	274	13	)	)	PUNCT
cana-638	275	1	−	−	PROPN
cana-638	276	1	𝑟3(𝐿𝑏	𝑟3(𝐿𝑏	NOUN
cana-638	277	1	+	+	CCONJ
cana-638	277	2	𝑟4(𝑈𝑏	𝑟4(𝑈𝑏	NUM
cana-638	277	3	−	−	PROPN
cana-638	277	4	𝐿𝑏	𝐿𝑏	PROPN
cana-638	277	5	)	)	PUNCT
cana-638	277	6	)	)	PUNCT
cana-638	277	7	}	}	PUNCT
cana-638	277	8	,	,	PUNCT
cana-638	277	9	𝑞	𝑞	X
cana-638	277	10	<	<	X
cana-638	277	11	0.5	0.5	NUM
cana-638	277	12	-	-	PUNCT
cana-638	277	13	-------(25	-------(25	NOUN
cana-638	277	14	)	)	PUNCT
cana-638	277	15	where	where	SCONJ
cana-638	277	16	,	,	PUNCT
cana-638	277	17	𝑋𝑚	𝑋𝑚	PROPN
cana-638	277	18	indicates	indicate	VERB
cana-638	277	19	the	the	DET
cana-638	277	20	average	average	ADJ
cana-638	277	21	position	position	NOUN
cana-638	277	22	and	and	CCONJ
cana-638	277	23	the	the	DET
cana-638	277	24	random	random	ADJ
cana-638	277	25	number	number	NOUN
cana-638	277	26	that	that	PRON
cana-638	277	27	varies	vary	VERB
cana-638	277	28	from	from	ADP
cana-638	277	29	0	0	NUM
cana-638	277	30	to	to	PART
cana-638	277	31	1	1	NUM
cana-638	277	32	is	be	AUX
cana-638	277	33	represented	represent	VERB
cana-638	277	34	as	as	ADP
cana-638	277	35	,	,	PUNCT
cana-638	277	36	r.	r.	NOUN
cana-638	277	37	the	the	DET
cana-638	277	38	formula	formula	NOUN
cana-638	277	39	used	use	VERB
cana-638	277	40	to	to	PART
cana-638	277	41	estimate	estimate	VERB
cana-638	277	42	𝑋𝑚	𝑋𝑚	PROPN
cana-638	277	43	,	,	PUNCT
cana-638	277	44	is	be	AUX
cana-638	277	45	shown	show	VERB
cana-638	277	46	in	in	ADP
cana-638	277	47	equation	equation	NOUN
cana-638	277	48	(	(	PUNCT
cana-638	277	49	25	25	NUM
cana-638	277	50	)	)	PUNCT
cana-638	277	51	.	.	PUNCT
cana-638	278	1	𝑋𝑚(𝑡	𝑋𝑚(𝑡	VERB
cana-638	278	2	)	)	PUNCT
cana-638	278	3	=	=	SYM
cana-638	278	4	1	1	NUM
cana-638	278	5	𝑛	𝑛	PRON
cana-638	278	6	∑	∑	ADV
cana-638	278	7	𝑋𝑖(𝑡)𝑁	𝑋𝑖(𝑡)𝑁	PROPN
cana-638	278	8	𝑖=1	𝑖=1	PROPN
cana-638	278	9	--------(26	--------(26	PROPN
cana-638	278	10	)	)	PUNCT
cana-638	278	11	where	where	SCONJ
cana-638	278	12	,	,	PUNCT
cana-638	278	13	the	the	DET
cana-638	278	14	position	position	NOUN
cana-638	278	15	and	and	CCONJ
cana-638	278	16	size	size	NOUN
cana-638	278	17	of	of	ADP
cana-638	278	18	hawk	hawk	NOUN
cana-638	278	19	is	be	AUX
cana-638	278	20	represented	represent	VERB
cana-638	278	21	as	as	ADP
cana-638	278	22	𝑋𝑖	𝑋𝑖	PROPN
cana-638	278	23	,	,	PUNCT
cana-638	278	24	and	and	CCONJ
cana-638	278	25	n	n	PRON
cana-638	278	26	respectively	respectively	ADV
cana-638	278	27	.	.	PUNCT
cana-638	279	1	next	next	ADV
cana-638	279	2	,	,	PUNCT
cana-638	279	3	the	the	DET
cana-638	279	4	escaping	escape	VERB
cana-638	279	5	energy	energy	NOUN
cana-638	279	6	(	(	PUNCT
cana-638	279	7	e	e	NOUN
cana-638	279	8	)	)	PUNCT
cana-638	279	9	during	during	ADP
cana-638	279	10	hunting	hunting	NOUN
cana-638	279	11	is	be	AUX
cana-638	279	12	evaluated	evaluate	VERB
cana-638	279	13	using	use	VERB
cana-638	279	14	the	the	DET
cana-638	279	15	equation	equation	NOUN
cana-638	279	16	(	(	PUNCT
cana-638	279	17	26	26	NUM
cana-638	279	18	)	)	PUNCT
cana-638	279	19	.	.	PUNCT
cana-638	280	1	communications	communication	NOUN
cana-638	280	2	on	on	ADP
cana-638	280	3	applied	apply	VERB
cana-638	280	4	nonlinear	nonlinear	ADJ
cana-638	280	5	analysis	analysis	NOUN
cana-638	280	6	issn	issn	NOUN
cana-638	280	7	:	:	PUNCT
cana-638	280	8	1074	1074	NUM
cana-638	280	9	-	-	PUNCT
cana-638	280	10	133x	133x	NUM
cana-638	280	11	vol	vol	NOUN
cana-638	280	12	31	31	NUM
cana-638	280	13	no	no	NOUN
cana-638	280	14	.	.	PUNCT
cana-638	281	1	2s	2s	NUM
cana-638	281	2	(	(	PUNCT
cana-638	281	3	2024	2024	NUM
cana-638	281	4	)	)	PUNCT
cana-638	281	5	245	245	NUM
cana-638	281	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	281	7	𝐸	𝐸	NOUN
cana-638	281	8	=	=	SYM
cana-638	281	9	2𝐸𝑜	2𝐸𝑜	NUM
cana-638	281	10	(	(	PUNCT
cana-638	281	11	1	1	NUM
cana-638	281	12	−	−	PROPN
cana-638	281	13	𝑡	𝑡	PROPN
cana-638	281	14	𝑇	𝑇	PROPN
cana-638	281	15	)	)	PUNCT
cana-638	281	16	--------(27	--------(27	PROPN
cana-638	281	17	)	)	PUNCT
cana-638	281	18	the	the	DET
cana-638	281	19	flowchart	flowchart	NOUN
cana-638	281	20	for	for	ADP
cana-638	281	21	hho	hho	NOUN
cana-638	281	22	is	be	AUX
cana-638	281	23	depicted	depict	VERB
cana-638	281	24	in	in	ADP
cana-638	281	25	figure	figure	NOUN
cana-638	281	26	3	3	NUM
cana-638	281	27	.	.	PUNCT
cana-638	282	1	where	where	SCONJ
cana-638	282	2	,	,	PUNCT
cana-638	282	3	the	the	DET
cana-638	282	4	maximum	maximum	ADJ
cana-638	282	5	size	size	NOUN
cana-638	282	6	in	in	ADP
cana-638	282	7	terms	term	NOUN
cana-638	282	8	of	of	ADP
cana-638	282	9	repetition	repetition	NOUN
cana-638	282	10	is	be	AUX
cana-638	282	11	indicated	indicate	VERB
cana-638	282	12	as	as	ADP
cana-638	282	13	,	,	PUNCT
cana-638	282	14	t	t	PROPN
cana-638	282	15	,	,	PUNCT
cana-638	282	16	and	and	CCONJ
cana-638	282	17	𝑜	𝑜	PRON
cana-638	282	18	represents	represent	VERB
cana-638	282	19	the	the	DET
cana-638	282	20	initial	initial	ADJ
cana-638	282	21	energy	energy	NOUN
cana-638	282	22	which	which	PRON
cana-638	282	23	ranges	range	VERB
cana-638	282	24	from	from	ADP
cana-638	282	25	1	1	NUM
cana-638	282	26	to	to	PART
cana-638	282	27	1	1	NUM
cana-638	282	28	.	.	PUNCT
cana-638	283	1	the	the	DET
cana-638	283	2	decision	decision	NOUN
cana-638	283	3	that	that	PRON
cana-638	283	4	is	be	AUX
cana-638	283	5	taken	take	VERB
cana-638	283	6	to	to	PART
cana-638	283	7	determine	determine	VERB
cana-638	283	8	whether	whether	SCONJ
cana-638	283	9	to	to	PART
cana-638	283	10	initiate	initiate	VERB
cana-638	283	11	exploration	exploration	NOUN
cana-638	283	12	or	or	CCONJ
cana-638	283	13	exploitation	exploitation	NOUN
cana-638	283	14	phase	phase	NOUN
cana-638	283	15	is	be	AUX
cana-638	283	16	identified	identify	VERB
cana-638	283	17	by	by	ADP
cana-638	283	18	evaluating	evaluate	VERB
cana-638	283	19	the	the	DET
cana-638	283	20	parameter	parameter	NOUN
cana-638	283	21	,	,	PUNCT
cana-638	283	22	|e|	|e|	PROPN
cana-638	283	23	.	.	PROPN
cana-638	283	24	during	during	ADP
cana-638	283	25	the	the	DET
cana-638	283	26	exploitation	exploitation	NOUN
cana-638	283	27	phase	phase	NOUN
cana-638	283	28	,	,	PUNCT
cana-638	283	29	the	the	DET
cana-638	283	30	selection	selection	NOUN
cana-638	283	31	of	of	ADP
cana-638	283	32	besiege	besiege	NOUN
cana-638	283	33	using	use	VERB
cana-638	283	34	|e|	|e|	PRON
cana-638	283	35	is	be	AUX
cana-638	283	36	also	also	ADV
cana-638	283	37	essential	essential	ADJ
cana-638	283	38	,	,	PUNCT
cana-638	283	39	i.e.	i.e.	X
cana-638	283	40	if	if	SCONJ
cana-638	283	41	|e|	|e|	PRON
cana-638	283	42	is	be	AUX
cana-638	283	43	<	<	X
cana-638	283	44	0.5	0.5	NUM
cana-638	283	45	then	then	ADV
cana-638	283	46	take	take	VERB
cana-638	283	47	the	the	DET
cana-638	283	48	hard	hard	ADJ
cana-638	283	49	besiege	besiege	NOUN
cana-638	283	50	,	,	PUNCT
cana-638	283	51	and	and	CCONJ
cana-638	283	52	if	if	SCONJ
cana-638	283	53	|e|	|e|	PRON
cana-638	283	54	is	be	AUX
cana-638	283	55	greater	great	ADJ
cana-638	283	56	than	than	ADP
cana-638	283	57	or	or	CCONJ
cana-638	283	58	equal	equal	ADJ
cana-638	283	59	to	to	ADP
cana-638	283	60	0.5	0.5	NUM
cana-638	283	61	then	then	ADV
cana-638	283	62	it	it	PRON
cana-638	283	63	can	can	AUX
cana-638	283	64	go	go	VERB
cana-638	283	65	for	for	ADP
cana-638	283	66	soft	soft	ADJ
cana-638	283	67	besiege	besiege	NOUN
cana-638	283	68	.	.	PUNCT
cana-638	284	1	the	the	DET
cana-638	284	2	weight	weight	NOUN
cana-638	284	3	parameter	parameter	NOUN
cana-638	284	4	that	that	PRON
cana-638	284	5	provides	provide	VERB
cana-638	284	6	less	less	ADJ
cana-638	284	7	error	error	NOUN
cana-638	284	8	during	during	ADP
cana-638	284	9	classification	classification	NOUN
cana-638	284	10	is	be	AUX
cana-638	284	11	considered	consider	VERB
cana-638	284	12	as	as	ADP
cana-638	284	13	the	the	DET
cana-638	284	14	best	good	ADJ
cana-638	284	15	solution	solution	NOUN
cana-638	284	16	which	which	PRON
cana-638	284	17	is	be	AUX
cana-638	284	18	optimally	optimally	ADV
cana-638	284	19	deter	deter	VERB
cana-638	284	20	figure	figure	NOUN
cana-638	284	21	3	3	NUM
cana-638	284	22	:	:	PUNCT
cana-638	284	23	flowchart	flowchart	NOUN
cana-638	284	24	for	for	ADP
cana-638	284	25	hho	hho	NOUN
cana-638	284	26	algorithm	algorithm	NOUN
cana-638	284	27	mined	mine	VERB
cana-638	284	28	by	by	ADP
cana-638	284	29	the	the	DET
cana-638	284	30	hho	hho	NOUN
cana-638	284	31	algorithm	algorithm	NOUN
cana-638	284	32	.	.	PUNCT
cana-638	285	1	further	far	ADV
cana-638	285	2	,	,	PUNCT
cana-638	285	3	it	it	PRON
cana-638	285	4	reduces	reduce	VERB
cana-638	285	5	the	the	DET
cana-638	285	6	computational	computational	ADJ
cana-638	285	7	complexity	complexity	NOUN
cana-638	285	8	of	of	ADP
cana-638	285	9	frnn	frnn	NOUN
cana-638	285	10	during	during	ADP
cana-638	285	11	sentiment	sentiment	NOUN
cana-638	285	12	classification	classification	NOUN
cana-638	285	13	.	.	PUNCT
cana-638	286	1	algorithm	algorithm	NOUN
cana-638	286	2	1	1	NUM
cana-638	286	3	tweet	tweet	NOUN
cana-638	286	4	sentiment	sentiment	NOUN
cana-638	286	5	classification	classification	NOUN
cana-638	286	6	using	use	VERB
cana-638	286	7	hho	hho	NOUN
cana-638	286	8	algorithm	algorithm	NOUN
cana-638	286	9	input	input	NOUN
cana-638	286	10	:	:	PUNCT
cana-638	286	11	tweet	tweet	NOUN
cana-638	286	12	dataset	dataset	ADJ
cana-638	286	13	output	output	NOUN
cana-638	286	14	:	:	PUNCT
cana-638	286	15	sentiment	sentiment	NOUN
cana-638	286	16	from	from	ADP
cana-638	286	17	classified	classified	ADJ
cana-638	286	18	tweet	tweet	NOUN
cana-638	286	19	1	1	NUM
cana-638	286	20	:	:	PUNCT
cana-638	286	21	initialize	initialize	VERB
cana-638	286	22	input	input	NOUN
cana-638	286	23	tweet	tweet	NOUN
cana-638	286	24	data	datum	NOUN
cana-638	286	25	2	2	NUM
cana-638	286	26	:	:	PUNCT
cana-638	286	27	read	read	VERB
cana-638	286	28	document	document	NOUN
cana-638	286	29	'	'	PUNCT
cana-638	286	30	e	e	NOUN
cana-638	286	31	'	'	PUNCT
cana-638	286	32	communications	communication	NOUN
cana-638	286	33	on	on	ADP
cana-638	286	34	applied	apply	VERB
cana-638	286	35	nonlinear	nonlinear	ADJ
cana-638	286	36	analysis	analysis	NOUN
cana-638	286	37	issn	issn	NOUN
cana-638	286	38	:	:	PUNCT
cana-638	286	39	1074	1074	NUM
cana-638	286	40	-	-	PUNCT
cana-638	286	41	133x	133x	NUM
cana-638	286	42	vol	vol	NOUN
cana-638	286	43	31	31	NUM
cana-638	286	44	no	no	NOUN
cana-638	286	45	.	.	PUNCT
cana-638	287	1	2s	2s	NUM
cana-638	287	2	(	(	PUNCT
cana-638	287	3	2024	2024	NUM
cana-638	287	4	)	)	PUNCT
cana-638	287	5	246	246	NUM
cana-638	288	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	288	2	3	3	NUM
cana-638	288	3	:	:	PUNCT
cana-638	288	4	for	for	ADP
cana-638	288	5	each	each	DET
cana-638	288	6	word	word	NOUN
cana-638	288	7	'	'	PUNCT
cana-638	288	8	w	w	NOUN
cana-638	288	9	'	'	PUNCT
cana-638	288	10	of	of	ADP
cana-638	288	11	document	document	NOUN
cana-638	288	12	e	e	AUX
cana-638	288	13	do	do	VERB
cana-638	288	14	4	4	NUM
cana-638	288	15	:	:	PUNCT
cana-638	288	16	pre	pre	ADJ
cana-638	288	17	-	-	ADJ
cana-638	288	18	processing	processing	ADJ
cana-638	288	19	steps	step	NOUN
cana-638	288	20	5	5	NUM
cana-638	288	21	:	:	PUNCT
cana-638	288	22	tokenization	tokenization	NOUN
cana-638	288	23	6	6	NUM
cana-638	288	24	:	:	PUNCT
cana-638	288	25	stop	stop	VERB
cana-638	288	26	word	word	NOUN
cana-638	288	27	removal	removal	NOUN
cana-638	288	28	7	7	NUM
cana-638	288	29	:	:	PUNCT
cana-638	288	30	stemming	stem	VERB
cana-638	288	31	8	8	NUM
cana-638	288	32	:	:	PUNCT
cana-638	288	33	pos	pos	NOUN
cana-638	288	34	tagging	tag	VERB
cana-638	288	35	9	9	NUM
cana-638	288	36	:	:	PUNCT
cana-638	288	37	end	end	VERB
cana-638	288	38	for	for	ADP
cana-638	288	39	10	10	NUM
cana-638	288	40	:	:	PUNCT
cana-638	288	41	for	for	ADP
cana-638	288	42	feature	feature	NOUN
cana-638	288	43	extraction	extraction	NOUN
cana-638	288	44	do	do	VERB
cana-638	288	45	11	11	NUM
cana-638	288	46	:	:	PUNCT
cana-638	288	47	lsa	lsa	NOUN
cana-638	288	48	12	12	NUM
cana-638	288	49	:	:	PUNCT
cana-638	288	50	ica	ica	PROPN
cana-638	288	51	13	13	NUM
cana-638	288	52	:	:	PUNCT
cana-638	288	53	if	if	SCONJ
cana-638	288	54	sentiment	sentiment	NOUN
cana-638	288	55	lexicon	lexicon	VERB
cana-638	288	56	then	then	ADV
cana-638	288	57	14	14	NUM
cana-638	288	58	:	:	PUNCT
cana-638	288	59	training	train	VERB
cana-638	288	60	the	the	DET
cana-638	288	61	kelm	kelm	PROPN
cana-638	288	62	classifier	classifier	NOUN
cana-638	288	63	15	15	NUM
cana-638	288	64	:	:	PUNCT
cana-638	288	65	the	the	DET
cana-638	288	66	weight	weight	NOUN
cana-638	288	67	parameter	parameter	NOUN
cana-638	288	68	selection	selection	NOUN
cana-638	288	69	of	of	ADP
cana-638	288	70	frnn	frnn	NOUN
cana-638	288	71	classifier	classifier	NOUN
cana-638	288	72	using	use	VERB
cana-638	288	73	hho	hho	NOUN
cana-638	288	74	16	16	NUM
cana-638	288	75	:	:	PUNCT
cana-638	289	1	𝑋𝑅𝑎𝑏𝑏𝑖𝑡	𝑋𝑅𝑎𝑏𝑏𝑖𝑡	PROPN
cana-638	289	2	=	=	SYM
cana-638	289	3	fitness	fitness	NOUN
cana-638	289	4	value	value	NOUN
cana-638	289	5	17	17	NUM
cana-638	289	6	:	:	PUNCT
cana-638	289	7	t=1	t=1	PROPN
cana-638	289	8	18	18	NUM
cana-638	289	9	:	:	PUNCT
cana-638	289	10	while	while	SCONJ
cana-638	289	11	(	(	PUNCT
cana-638	289	12	t≤	t≤	PROPN
cana-638	289	13	max	max	PROPN
cana-638	289	14	iteration	iteration	NOUN
cana-638	289	15	)	)	PUNCT
cana-638	289	16	19	19	NUM
cana-638	289	17	:	:	PUNCT
cana-638	289	18	next	next	ADJ
cana-638	289	19	20	20	NUM
cana-638	289	20	:	:	PUNCT
cana-638	289	21	update	update	NOUN
cana-638	289	22	𝑋𝑅𝑎𝑏𝑏𝑖𝑡	𝑋𝑅𝑎𝑏𝑏𝑖𝑡	PROPN
cana-638	289	23	=	=	PUNCT
cana-638	289	24	x	x	SYM
cana-638	289	25	(	(	PUNCT
cana-638	289	26	t+1	t+1	NOUN
cana-638	289	27	)	)	PUNCT
cana-638	289	28	21	21	NUM
cana-638	289	29	:	:	PUNCT
cana-638	289	30	end	end	VERB
cana-638	289	31	if	if	SCONJ
cana-638	289	32	22	22	NUM
cana-638	289	33	:	:	PUNCT
cana-638	289	34	performance	performance	NOUN
cana-638	289	35	evaluation	evaluation	NOUN
cana-638	289	36	to	to	PART
cana-638	289	37	test	test	VERB
cana-638	289	38	the	the	DET
cana-638	289	39	effectiveness	effectiveness	NOUN
cana-638	289	40	of	of	ADP
cana-638	289	41	the	the	DET
cana-638	289	42	proposed	propose	VERB
cana-638	289	43	work	work	NOUN
cana-638	289	44	23	23	NUM
cana-638	289	45	:	:	PUNCT
cana-638	289	46	end	end	VERB
cana-638	289	47	for	for	ADP
cana-638	289	48	4	4	NUM
cana-638	289	49	.	.	NOUN
cana-638	289	50	result	result	NOUN
cana-638	289	51	and	and	CCONJ
cana-638	289	52	discussion	discussion	VERB
cana-638	289	53	the	the	DET
cana-638	289	54	dataset	dataset	NOUN
cana-638	289	55	utilized	utilize	VERB
cana-638	289	56	in	in	ADP
cana-638	289	57	this	this	DET
cana-638	289	58	study	study	NOUN
cana-638	289	59	is	be	AUX
cana-638	289	60	the	the	DET
cana-638	289	61	sentiment140	sentiment140	PROPN
cana-638	289	62	dataset	dataset	NOUN
cana-638	289	63	,	,	PUNCT
cana-638	289	64	comprising	comprise	VERB
cana-638	289	65	a	a	DET
cana-638	289	66	vast	vast	ADJ
cana-638	289	67	collection	collection	NOUN
cana-638	289	68	of	of	ADP
cana-638	289	69	1,600,000	1,600,000	NUM
cana-638	289	70	tweets	tweet	NOUN
cana-638	289	71	sourced	source	VERB
cana-638	289	72	through	through	ADP
cana-638	289	73	the	the	DET
cana-638	289	74	twitter	twitter	NOUN
cana-638	289	75	api	api	NOUN
cana-638	289	76	.	.	PUNCT
cana-638	290	1	these	these	DET
cana-638	290	2	tweets	tweet	NOUN
cana-638	290	3	have	have	AUX
cana-638	290	4	undergone	undergo	VERB
cana-638	290	5	manual	manual	ADJ
cana-638	290	6	annotation	annotation	NOUN
cana-638	290	7	to	to	PART
cana-638	290	8	assign	assign	VERB
cana-638	290	9	sentiment	sentiment	NOUN
cana-638	290	10	polarity	polarity	NOUN
cana-638	290	11	labels	label	NOUN
cana-638	290	12	,	,	PUNCT
cana-638	290	13	where	where	SCONJ
cana-638	290	14	a	a	DET
cana-638	290	15	label	label	NOUN
cana-638	290	16	of	of	ADP
cana-638	290	17	0	0	NUM
cana-638	290	18	signifies	signify	VERB
cana-638	290	19	negative	negative	ADJ
cana-638	290	20	sentiment	sentiment	NOUN
cana-638	290	21	and	and	CCONJ
cana-638	290	22	4	4	NUM
cana-638	290	23	represents	represent	VERB
cana-638	290	24	positive	positive	ADJ
cana-638	290	25	sentiment	sentiment	NOUN
cana-638	290	26	,	,	PUNCT
cana-638	290	27	rendering	render	VERB
cana-638	290	28	it	it	PRON
cana-638	290	29	conducive	conducive	ADJ
cana-638	290	30	for	for	ADP
cana-638	290	31	sentiment	sentiment	NOUN
cana-638	290	32	analysis	analysis	NOUN
cana-638	290	33	tasks	task	NOUN
cana-638	290	34	.	.	PUNCT
cana-638	291	1	within	within	ADP
cana-638	291	2	the	the	DET
cana-638	291	3	dataset	dataset	NOUN
cana-638	291	4	,	,	PUNCT
cana-638	291	5	six	six	NUM
cana-638	291	6	key	key	ADJ
cana-638	291	7	fields	field	NOUN
cana-638	291	8	are	be	AUX
cana-638	291	9	present	present	ADJ
cana-638	291	10	for	for	ADP
cana-638	291	11	each	each	DET
cana-638	291	12	tweet	tweet	NOUN
cana-638	291	13	entry	entry	NOUN
cana-638	291	14	.	.	PUNCT
cana-638	292	1	firstly	firstly	ADV
cana-638	292	2	,	,	PUNCT
cana-638	292	3	the	the	DET
cana-638	292	4	"	"	PUNCT
cana-638	292	5	target	target	NOUN
cana-638	292	6	"	"	PUNCT
cana-638	292	7	field	field	NOUN
cana-638	292	8	indicates	indicate	VERB
cana-638	292	9	the	the	DET
cana-638	292	10	polarity	polarity	NOUN
cana-638	292	11	of	of	ADP
cana-638	292	12	the	the	DET
cana-638	292	13	tweet	tweet	NOUN
cana-638	292	14	,	,	PUNCT
cana-638	292	15	with	with	ADP
cana-638	292	16	values	value	NOUN
cana-638	292	17	ranging	range	VERB
cana-638	292	18	from	from	ADP
cana-638	292	19	0	0	NUM
cana-638	292	20	to	to	ADP
cana-638	292	21	4	4	NUM
cana-638	292	22	,	,	PUNCT
cana-638	292	23	encompassing	encompass	VERB
cana-638	292	24	negative	negative	ADJ
cana-638	292	25	,	,	PUNCT
cana-638	292	26	neutral	neutral	ADJ
cana-638	292	27	,	,	PUNCT
cana-638	292	28	and	and	CCONJ
cana-638	292	29	positive	positive	ADJ
cana-638	292	30	sentiments	sentiment	NOUN
cana-638	292	31	.	.	PUNCT
cana-638	293	1	secondly	secondly	ADV
cana-638	293	2	,	,	PUNCT
cana-638	293	3	the	the	DET
cana-638	293	4	"	"	PUNCT
cana-638	293	5	ids	ids	NOUN
cana-638	293	6	"	"	PUNCT
cana-638	293	7	field	field	NOUN
cana-638	293	8	assigns	assign	VERB
cana-638	293	9	a	a	DET
cana-638	293	10	unique	unique	ADJ
cana-638	293	11	identifier	identifier	NOUN
cana-638	293	12	to	to	ADP
cana-638	293	13	each	each	DET
cana-638	293	14	tweet	tweet	NOUN
cana-638	293	15	for	for	ADP
cana-638	293	16	tracking	tracking	NOUN
cana-638	293	17	and	and	CCONJ
cana-638	293	18	organizational	organizational	ADJ
cana-638	293	19	purposes	purpose	NOUN
cana-638	293	20	.	.	PUNCT
cana-638	294	1	the	the	DET
cana-638	294	2	"	"	PUNCT
cana-638	294	3	date	date	NOUN
cana-638	294	4	"	"	PUNCT
cana-638	294	5	field	field	NOUN
cana-638	294	6	captures	capture	VERB
cana-638	294	7	the	the	DET
cana-638	294	8	timestamp	timestamp	NOUN
cana-638	294	9	denoting	denote	VERB
cana-638	294	10	the	the	DET
cana-638	294	11	date	date	NOUN
cana-638	294	12	and	and	CCONJ
cana-638	294	13	time	time	NOUN
cana-638	294	14	of	of	ADP
cana-638	294	15	tweet	tweet	NOUN
cana-638	294	16	creation	creation	NOUN
cana-638	294	17	,	,	PUNCT
cana-638	294	18	adhering	adhere	VERB
cana-638	294	19	to	to	ADP
cana-638	294	20	the	the	DET
cana-638	294	21	utc	utc	X
cana-638	294	22	(	(	PUNCT
cana-638	294	23	coordinated	coordinated	ADJ
cana-638	294	24	universal	universal	ADJ
cana-638	294	25	time	time	NOUN
cana-638	294	26	)	)	PUNCT
cana-638	294	27	standard	standard	NOUN
cana-638	294	28	.	.	PUNCT
cana-638	295	1	furthermore	furthermore	ADV
cana-638	295	2	,	,	PUNCT
cana-638	295	3	the	the	DET
cana-638	295	4	"	"	PUNCT
cana-638	295	5	flag	flag	NOUN
cana-638	295	6	"	"	PUNCT
cana-638	295	7	field	field	NOUN
cana-638	295	8	records	record	VERB
cana-638	295	9	any	any	DET
cana-638	295	10	associated	associated	ADJ
cana-638	295	11	query	query	NOUN
cana-638	295	12	term	term	NOUN
cana-638	295	13	if	if	SCONJ
cana-638	295	14	the	the	DET
cana-638	295	15	tweet	tweet	NOUN
cana-638	295	16	originates	originate	VERB
cana-638	295	17	from	from	ADP
cana-638	295	18	a	a	DET
cana-638	295	19	specific	specific	ADJ
cana-638	295	20	query	query	NOUN
cana-638	295	21	;	;	PUNCT
cana-638	295	22	otherwise	otherwise	ADV
cana-638	295	23	,	,	PUNCT
cana-638	295	24	it	it	PRON
cana-638	295	25	is	be	AUX
cana-638	295	26	marked	mark	VERB
cana-638	295	27	as	as	ADP
cana-638	295	28	no_query	no_query	PROPN
cana-638	295	29	.	.	PUNCT
cana-638	296	1	the	the	DET
cana-638	296	2	"	"	PUNCT
cana-638	296	3	user	user	NOUN
cana-638	296	4	"	"	PUNCT
cana-638	296	5	field	field	NOUN
cana-638	296	6	contains	contain	VERB
cana-638	296	7	the	the	DET
cana-638	296	8	username	username	NOUN
cana-638	296	9	of	of	ADP
cana-638	296	10	the	the	DET
cana-638	296	11	twitter	twitter	NOUN
cana-638	296	12	account	account	VERB
cana-638	296	13	responsible	responsible	ADJ
cana-638	296	14	for	for	ADP
cana-638	296	15	the	the	DET
cana-638	296	16	tweet	tweet	NOUN
cana-638	296	17	,	,	PUNCT
cana-638	296	18	while	while	SCONJ
cana-638	296	19	the	the	DET
cana-638	296	20	"	"	PUNCT
cana-638	296	21	text	text	NOUN
cana-638	296	22	"	"	PUNCT
cana-638	296	23	field	field	NOUN
cana-638	296	24	encapsulates	encapsulate	VERB
cana-638	296	25	the	the	DET
cana-638	296	26	actual	actual	ADJ
cana-638	296	27	communications	communication	NOUN
cana-638	296	28	on	on	ADP
cana-638	296	29	applied	apply	VERB
cana-638	296	30	nonlinear	nonlinear	ADJ
cana-638	296	31	analysis	analysis	NOUN
cana-638	296	32	issn	issn	NOUN
cana-638	296	33	:	:	PUNCT
cana-638	296	34	1074	1074	NUM
cana-638	296	35	-	-	PUNCT
cana-638	296	36	133x	133x	NUM
cana-638	296	37	vol	vol	NOUN
cana-638	296	38	31	31	NUM
cana-638	296	39	no	no	NOUN
cana-638	296	40	.	.	PUNCT
cana-638	297	1	2s	2s	NUM
cana-638	297	2	(	(	PUNCT
cana-638	297	3	2024	2024	NUM
cana-638	297	4	)	)	PUNCT
cana-638	297	5	247	247	NUM
cana-638	297	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	297	7	textual	textual	ADJ
cana-638	297	8	content	content	NOUN
cana-638	297	9	of	of	ADP
cana-638	297	10	the	the	DET
cana-638	297	11	tweet	tweet	NOUN
cana-638	297	12	,	,	PUNCT
cana-638	297	13	encompassing	encompass	VERB
cana-638	297	14	hashtags	hashtag	NOUN
cana-638	297	15	,	,	PUNCT
cana-638	297	16	mentions	mention	NOUN
cana-638	297	17	,	,	PUNCT
cana-638	297	18	emoticons	emoticon	NOUN
cana-638	297	19	,	,	PUNCT
cana-638	297	20	and	and	CCONJ
cana-638	297	21	other	other	ADJ
cana-638	297	22	textual	textual	ADJ
cana-638	297	23	features	feature	NOUN
cana-638	297	24	.	.	PUNCT
cana-638	298	1	this	this	DET
cana-638	298	2	dataset	dataset	NOUN
cana-638	298	3	serves	serve	VERB
cana-638	298	4	as	as	ADP
cana-638	298	5	a	a	DET
cana-638	298	6	valuable	valuable	ADJ
cana-638	298	7	resource	resource	NOUN
cana-638	298	8	for	for	ADP
cana-638	298	9	developing	develop	VERB
cana-638	298	10	and	and	CCONJ
cana-638	298	11	evaluating	evaluate	VERB
cana-638	298	12	sentiment	sentiment	NOUN
cana-638	298	13	analysis	analysis	NOUN
cana-638	298	14	algorithms	algorithm	NOUN
cana-638	298	15	and	and	CCONJ
cana-638	298	16	models	model	NOUN
cana-638	298	17	,	,	PUNCT
cana-638	298	18	offering	offer	VERB
cana-638	298	19	a	a	DET
cana-638	298	20	diverse	diverse	ADJ
cana-638	298	21	range	range	NOUN
cana-638	298	22	of	of	ADP
cana-638	298	23	annotated	annotate	VERB
cana-638	298	24	tweets	tweet	NOUN
cana-638	298	25	spanning	span	VERB
cana-638	298	26	various	various	ADJ
cana-638	298	27	sentiments	sentiment	NOUN
cana-638	298	28	.	.	PUNCT
cana-638	299	1	figure	figure	VERB
cana-638	299	2	4	4	NUM
cana-638	299	3	.	.	PUNCT
cana-638	299	4	data	data	NOUN
cana-638	299	5	distribution	distribution	NOUN
cana-638	299	6	(	(	PUNCT
cana-638	299	7	positive	positive	ADJ
cana-638	299	8	and	and	CCONJ
cana-638	299	9	negative	negative	ADJ
cana-638	299	10	tweets	tweet	NOUN
cana-638	299	11	)	)	PUNCT
cana-638	299	12	in	in	ADP
cana-638	299	13	figure	figure	NOUN
cana-638	299	14	4	4	NUM
cana-638	299	15	,	,	PUNCT
cana-638	299	16	the	the	DET
cana-638	299	17	data	data	NOUN
cana-638	299	18	distribution	distribution	NOUN
cana-638	299	19	of	of	ADP
cana-638	299	20	positive	positive	ADJ
cana-638	299	21	and	and	CCONJ
cana-638	299	22	negative	negative	ADJ
cana-638	299	23	tweets	tweet	NOUN
cana-638	299	24	is	be	AUX
cana-638	299	25	depicted	depict	VERB
cana-638	299	26	,	,	PUNCT
cana-638	299	27	illustrating	illustrate	VERB
cana-638	299	28	the	the	DET
cana-638	299	29	relative	relative	ADJ
cana-638	299	30	proportions	proportion	NOUN
cana-638	299	31	of	of	ADP
cana-638	299	32	each	each	DET
cana-638	299	33	sentiment	sentiment	NOUN
cana-638	299	34	class	class	NOUN
cana-638	299	35	within	within	ADP
cana-638	299	36	the	the	DET
cana-638	299	37	dataset	dataset	NOUN
cana-638	299	38	.	.	PUNCT
cana-638	300	1	this	this	DET
cana-638	300	2	visualization	visualization	NOUN
cana-638	300	3	provides	provide	VERB
cana-638	300	4	insights	insight	NOUN
cana-638	300	5	into	into	ADP
cana-638	300	6	the	the	DET
cana-638	300	7	balance	balance	NOUN
cana-638	300	8	or	or	CCONJ
cana-638	300	9	imbalance	imbalance	NOUN
cana-638	300	10	of	of	ADP
cana-638	300	11	sentiment	sentiment	NOUN
cana-638	300	12	labels	label	NOUN
cana-638	300	13	,	,	PUNCT
cana-638	300	14	which	which	PRON
cana-638	300	15	is	be	AUX
cana-638	300	16	crucial	crucial	ADJ
cana-638	300	17	for	for	ADP
cana-638	300	18	understanding	understand	VERB
cana-638	300	19	the	the	DET
cana-638	300	20	composition	composition	NOUN
cana-638	300	21	of	of	ADP
cana-638	300	22	the	the	DET
cana-638	300	23	dataset	dataset	NOUN
cana-638	300	24	and	and	CCONJ
cana-638	300	25	its	its	PRON
cana-638	300	26	potential	potential	ADJ
cana-638	300	27	impact	impact	NOUN
cana-638	300	28	on	on	ADP
cana-638	300	29	model	model	NOUN
cana-638	300	30	performance	performance	NOUN
cana-638	300	31	.	.	PUNCT
cana-638	301	1	figure	figure	NOUN
cana-638	301	2	5	5	NUM
cana-638	301	3	presents	present	VERB
cana-638	301	4	the	the	DET
cana-638	301	5	correlation	correlation	NOUN
cana-638	301	6	matrix	matrix	NOUN
cana-638	301	7	,	,	PUNCT
cana-638	301	8	a	a	DET
cana-638	301	9	graphical	graphical	ADJ
cana-638	301	10	representation	representation	NOUN
cana-638	301	11	of	of	ADP
cana-638	301	12	the	the	DET
cana-638	301	13	correlations	correlation	NOUN
cana-638	301	14	between	between	ADP
cana-638	301	15	different	different	ADJ
cana-638	301	16	features	feature	NOUN
cana-638	301	17	or	or	CCONJ
cana-638	301	18	variables	variable	NOUN
cana-638	301	19	in	in	ADP
cana-638	301	20	the	the	DET
cana-638	301	21	dataset	dataset	NOUN
cana-638	301	22	.	.	PUNCT
cana-638	302	1	in	in	ADP
cana-638	302	2	the	the	DET
cana-638	302	3	context	context	NOUN
cana-638	302	4	of	of	ADP
cana-638	302	5	sentiment	sentiment	NOUN
cana-638	302	6	analysis	analysis	NOUN
cana-638	302	7	,	,	PUNCT
cana-638	302	8	this	this	DET
cana-638	302	9	matrix	matrix	NOUN
cana-638	302	10	could	could	AUX
cana-638	302	11	reveal	reveal	VERB
cana-638	302	12	correlations	correlation	NOUN
cana-638	302	13	between	between	ADP
cana-638	302	14	specific	specific	ADJ
cana-638	302	15	words	word	NOUN
cana-638	302	16	or	or	CCONJ
cana-638	302	17	features	feature	NOUN
cana-638	302	18	and	and	CCONJ
cana-638	302	19	sentiment	sentiment	NOUN
cana-638	302	20	labels	label	NOUN
cana-638	302	21	,	,	PUNCT
cana-638	302	22	aiding	aid	VERB
cana-638	302	23	in	in	ADP
cana-638	302	24	feature	feature	NOUN
cana-638	302	25	selection	selection	NOUN
cana-638	302	26	and	and	CCONJ
cana-638	302	27	interpretation	interpretation	NOUN
cana-638	302	28	of	of	ADP
cana-638	302	29	the	the	DET
cana-638	302	30	model	model	NOUN
cana-638	302	31	's	's	PART
cana-638	302	32	decision	decision	NOUN
cana-638	302	33	-	-	PUNCT
cana-638	302	34	making	make	VERB
cana-638	302	35	process	process	NOUN
cana-638	302	36	.	.	PUNCT
cana-638	303	1	figure	figure	NOUN
cana-638	303	2	5	5	NUM
cana-638	303	3	.	.	PUNCT
cana-638	303	4	correlation	correlation	NOUN
cana-638	303	5	matrix	matrix	NOUN
cana-638	303	6	communications	communication	NOUN
cana-638	303	7	on	on	ADP
cana-638	303	8	applied	apply	VERB
cana-638	303	9	nonlinear	nonlinear	ADJ
cana-638	303	10	analysis	analysis	NOUN
cana-638	303	11	issn	issn	NOUN
cana-638	303	12	:	:	PUNCT
cana-638	303	13	1074	1074	NUM
cana-638	303	14	-	-	PUNCT
cana-638	303	15	133x	133x	NUM
cana-638	303	16	vol	vol	NOUN
cana-638	303	17	31	31	NUM
cana-638	303	18	no	no	NOUN
cana-638	303	19	.	.	PUNCT
cana-638	304	1	2s	2s	NUM
cana-638	304	2	(	(	PUNCT
cana-638	304	3	2024	2024	NUM
cana-638	304	4	)	)	PUNCT
cana-638	304	5	248	248	NUM
cana-638	304	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	304	7	figure	figure	NOUN
cana-638	304	8	6	6	NUM
cana-638	304	9	.	.	PUNCT
cana-638	305	1	word	word	NOUN
cana-638	305	2	cloud	cloud	NOUN
cana-638	305	3	of	of	ADP
cana-638	305	4	tweets	tweet	NOUN
cana-638	305	5	figure	figure	VERB
cana-638	305	6	6	6	NUM
cana-638	305	7	showcases	showcase	VERB
cana-638	305	8	a	a	DET
cana-638	305	9	word	word	NOUN
cana-638	305	10	cloud	cloud	NOUN
cana-638	305	11	generated	generate	VERB
cana-638	305	12	from	from	ADP
cana-638	305	13	the	the	DET
cana-638	305	14	tweets	tweet	NOUN
cana-638	305	15	in	in	ADP
cana-638	305	16	the	the	DET
cana-638	305	17	dataset	dataset	NOUN
cana-638	305	18	,	,	PUNCT
cana-638	305	19	visually	visually	ADV
cana-638	305	20	representing	represent	VERB
cana-638	305	21	the	the	DET
cana-638	305	22	frequency	frequency	NOUN
cana-638	305	23	or	or	CCONJ
cana-638	305	24	importance	importance	NOUN
cana-638	305	25	of	of	ADP
cana-638	305	26	different	different	ADJ
cana-638	305	27	words	word	NOUN
cana-638	305	28	within	within	ADP
cana-638	305	29	the	the	DET
cana-638	305	30	text	text	NOUN
cana-638	305	31	data	datum	NOUN
cana-638	305	32	.	.	PUNCT
cana-638	306	1	this	this	DET
cana-638	306	2	visualization	visualization	NOUN
cana-638	306	3	technique	technique	NOUN
cana-638	306	4	highlights	highlight	VERB
cana-638	306	5	prominent	prominent	ADJ
cana-638	306	6	terms	term	NOUN
cana-638	306	7	or	or	CCONJ
cana-638	306	8	phrases	phrase	NOUN
cana-638	306	9	associated	associate	VERB
cana-638	306	10	with	with	ADP
cana-638	306	11	positive	positive	ADJ
cana-638	306	12	and	and	CCONJ
cana-638	306	13	negative	negative	ADJ
cana-638	306	14	sentiment	sentiment	NOUN
cana-638	306	15	,	,	PUNCT
cana-638	306	16	offering	offer	VERB
cana-638	306	17	intuitive	intuitive	ADJ
cana-638	306	18	insights	insight	NOUN
cana-638	306	19	into	into	ADP
cana-638	306	20	the	the	DET
cana-638	306	21	key	key	ADJ
cana-638	306	22	themes	theme	NOUN
cana-638	306	23	or	or	CCONJ
cana-638	306	24	topics	topic	NOUN
cana-638	306	25	expressed	express	VERB
cana-638	306	26	in	in	ADP
cana-638	306	27	the	the	DET
cana-638	306	28	tweets	tweet	NOUN
cana-638	306	29	.	.	PUNCT
cana-638	307	1	these	these	DET
cana-638	307	2	visualizations	visualization	NOUN
cana-638	307	3	play	play	VERB
cana-638	307	4	a	a	DET
cana-638	307	5	crucial	crucial	ADJ
cana-638	307	6	role	role	NOUN
cana-638	307	7	in	in	ADP
cana-638	307	8	understanding	understand	VERB
cana-638	307	9	the	the	DET
cana-638	307	10	characteristics	characteristic	NOUN
cana-638	307	11	of	of	ADP
cana-638	307	12	the	the	DET
cana-638	307	13	dataset	dataset	NOUN
cana-638	307	14	,	,	PUNCT
cana-638	307	15	identifying	identify	VERB
cana-638	307	16	patterns	pattern	NOUN
cana-638	307	17	or	or	CCONJ
cana-638	307	18	relationships	relationship	NOUN
cana-638	307	19	between	between	ADP
cana-638	307	20	features	feature	NOUN
cana-638	307	21	and	and	CCONJ
cana-638	307	22	sentiment	sentiment	NOUN
cana-638	307	23	labels	label	NOUN
cana-638	307	24	,	,	PUNCT
cana-638	307	25	and	and	CCONJ
cana-638	307	26	gaining	gain	VERB
cana-638	307	27	valuable	valuable	ADJ
cana-638	307	28	insights	insight	NOUN
cana-638	307	29	into	into	ADP
cana-638	307	30	the	the	DET
cana-638	307	31	underlying	underlying	ADJ
cana-638	307	32	sentiment	sentiment	NOUN
cana-638	307	33	expressed	express	VERB
cana-638	307	34	in	in	ADP
cana-638	307	35	the	the	DET
cana-638	307	36	text	text	NOUN
cana-638	307	37	data	datum	NOUN
cana-638	307	38	.	.	PUNCT
cana-638	308	1	the	the	DET
cana-638	308	2	proposed	propose	VERB
cana-638	308	3	semantic	semantic	NOUN
cana-638	308	4	-	-	PUNCT
cana-638	308	5	based	base	VERB
cana-638	308	6	similarity	similarity	NOUN
cana-638	308	7	feature	feature	NOUN
cana-638	308	8	extraction	extraction	NOUN
cana-638	308	9	method	method	NOUN
cana-638	308	10	measured	measure	VERB
cana-638	308	11	the	the	DET
cana-638	308	12	evaluation	evaluation	NOUN
cana-638	308	13	metrics	metric	NOUN
cana-638	308	14	such	such	ADJ
cana-638	308	15	as	as	ADP
cana-638	308	16	accuracy	accuracy	NOUN
cana-638	308	17	,	,	PUNCT
cana-638	308	18	precision	precision	NOUN
cana-638	308	19	,	,	PUNCT
cana-638	308	20	recall	recall	NOUN
cana-638	308	21	,	,	PUNCT
cana-638	308	22	and	and	CCONJ
cana-638	308	23	rmse	rmse	ADJ
cana-638	308	24	values	value	NOUN
cana-638	308	25	.	.	PUNCT
cana-638	309	1	the	the	DET
cana-638	309	2	formula	formula	NOUN
cana-638	309	3	for	for	ADP
cana-638	309	4	accuracy	accuracy	NOUN
cana-638	309	5	,	,	PUNCT
cana-638	309	6	precision	precision	NOUN
cana-638	309	7	,	,	PUNCT
cana-638	309	8	recall	recall	NOUN
cana-638	309	9	,	,	PUNCT
cana-638	309	10	and	and	CCONJ
cana-638	309	11	rmse	rmse	NOUN
cana-638	309	12	is	be	AUX
cana-638	309	13	as	as	ADP
cana-638	309	14	in	in	ADP
cana-638	309	15	equation	equation	NOUN
cana-638	309	16	(	(	PUNCT
cana-638	309	17	28	28	NUM
cana-638	309	18	-31	-31	NUM
cana-638	309	19	)	)	PUNCT
cana-638	309	20	.	.	PUNCT
cana-638	310	1	table	table	NOUN
cana-638	310	2	1	1	NUM
cana-638	310	3	.	.	PUNCT
cana-638	311	1	performance	performance	NOUN
cana-638	311	2	comparison	comparison	NOUN
cana-638	311	3	of	of	ADP
cana-638	311	4	with	with	ADP
cana-638	311	5	and	and	CCONJ
cana-638	311	6	without	without	ADP
cana-638	311	7	feature	feature	NOUN
cana-638	311	8	selection	selection	NOUN
cana-638	311	9	metrics	metric	NOUN
cana-638	311	10	without	without	ADP
cana-638	311	11	feature	feature	NOUN
cana-638	311	12	selection	selection	NOUN
cana-638	311	13	dfs	dfs	PROPN
cana-638	311	14	chi	chi	ADJ
cana-638	311	15	-	-	PUNCT
cana-638	311	16	square	square	ADJ
cana-638	311	17	pmi	pmi	PROPN
cana-638	311	18	dfs+chi+pmi	dfs+chi+pmi	PROPN
cana-638	311	19	accuracy	accuracy	NOUN
cana-638	311	20	89.99	89.99	NUM
cana-638	311	21	98.16	98.16	NUM
cana-638	311	22	98.83	98.83	NUM
cana-638	311	23	93.257	93.257	NUM
cana-638	311	24	97.381	97.381	NUM
cana-638	311	25	precision	precision	NOUN
cana-638	311	26	95.5	95.5	NUM
cana-638	311	27	98.35	98.35	NUM
cana-638	311	28	99.73	99.73	NUM
cana-638	311	29	92.427	92.427	NUM
cana-638	311	30	95.97	95.97	NUM
cana-638	311	31	recall	recall	NOUN
cana-638	311	32	93.22	93.22	NUM
cana-638	311	33	99.35	99.35	NUM
cana-638	311	34	89.93	89.93	NUM
cana-638	311	35	98.132	98.132	NUM
cana-638	311	36	95.52	95.52	NUM
cana-638	311	37	rmse	rmse	NOUN
cana-638	311	38	0.4001	0.4001	NUM
cana-638	311	39	0.1776	0.1776	NUM
cana-638	311	40	0.2	0.2	NUM
cana-638	311	41	0.088	0.088	NUM
cana-638	311	42	0.2709	0.2709	NUM
cana-638	311	43	communications	communication	NOUN
cana-638	311	44	on	on	ADP
cana-638	311	45	applied	apply	VERB
cana-638	311	46	nonlinear	nonlinear	ADJ
cana-638	311	47	analysis	analysis	NOUN
cana-638	311	48	issn	issn	NOUN
cana-638	311	49	:	:	PUNCT
cana-638	311	50	1074	1074	NUM
cana-638	311	51	-	-	PUNCT
cana-638	311	52	133x	133x	NUM
cana-638	311	53	vol	vol	NOUN
cana-638	311	54	31	31	NUM
cana-638	311	55	no	no	NOUN
cana-638	311	56	.	.	PUNCT
cana-638	312	1	2s	2s	NUM
cana-638	312	2	(	(	PUNCT
cana-638	312	3	2024	2024	NUM
cana-638	312	4	)	)	PUNCT
cana-638	312	5	249	249	NUM
cana-638	312	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	312	7	figure	figure	NOUN
cana-638	312	8	7	7	NUM
cana-638	312	9	.	.	PUNCT
cana-638	312	10	performance	performance	NOUN
cana-638	312	11	comparison	comparison	NOUN
cana-638	312	12	of	of	ADP
cana-638	312	13	with	with	ADP
cana-638	312	14	and	and	CCONJ
cana-638	312	15	without	without	ADP
cana-638	312	16	feature	feature	NOUN
cana-638	312	17	selection	selection	NOUN
cana-638	312	18	figure	figure	NOUN
cana-638	312	19	8	8	NUM
cana-638	312	20	.	.	PUNCT
cana-638	313	1	performance	performance	NOUN
cana-638	313	2	comparison	comparison	NOUN
cana-638	313	3	of	of	ADP
cana-638	313	4	rmse	rmse	ADJ
cana-638	313	5	table	table	NOUN
cana-638	313	6	2	2	NUM
cana-638	313	7	.	.	PUNCT
cana-638	313	8	comparison	comparison	NOUN
cana-638	313	9	of	of	ADP
cana-638	313	10	classification	classification	NOUN
cana-638	313	11	methods	method	NOUN
cana-638	313	12	accuracy	accuracy	NOUN
cana-638	313	13	precision	precision	NOUN
cana-638	313	14	recall	recall	PROPN
cana-638	313	15	rmse	rmse	PROPN
cana-638	313	16	lda	lda	PROPN
cana-638	313	17	and	and	CCONJ
cana-638	313	18	nmf	nmf	NUM
cana-638	313	19	93.2	93.2	NUM
cana-638	313	20	92.45	92.45	NUM
cana-638	313	21	93.56	93.56	NUM
cana-638	313	22	0.967	0.967	NUM
cana-638	313	23	svm	svm	PROPN
cana-638	313	24	97.832	97.832	NUM
cana-638	313	25	94.34	94.34	NUM
cana-638	313	26	86	86	NUM
cana-638	313	27	0.8967	0.8967	NUM
cana-638	313	28	cnn	cnn	PROPN
cana-638	313	29	-	-	PUNCT
cana-638	313	30	lstm	lstm	ADJ
cana-638	313	31	98.372	98.372	NUM
cana-638	313	32	95.34	95.34	NUM
cana-638	313	33	89.56	89.56	NUM
cana-638	313	34	0.782	0.782	NUM
cana-638	313	35	kelm	kelm	NOUN
cana-638	313	36	98.61	98.61	NUM
cana-638	313	37	98.56	98.56	NUM
cana-638	313	38	98.14	98.14	NUM
cana-638	313	39	0.187	0.187	NUM
cana-638	313	40	communications	communication	NOUN
cana-638	313	41	on	on	ADP
cana-638	313	42	applied	apply	VERB
cana-638	313	43	nonlinear	nonlinear	ADJ
cana-638	313	44	analysis	analysis	NOUN
cana-638	313	45	issn	issn	NOUN
cana-638	313	46	:	:	PUNCT
cana-638	313	47	1074	1074	NUM
cana-638	313	48	-	-	PUNCT
cana-638	313	49	133x	133x	NUM
cana-638	313	50	vol	vol	NOUN
cana-638	313	51	31	31	NUM
cana-638	313	52	no	no	NOUN
cana-638	313	53	.	.	PUNCT
cana-638	314	1	2s	2s	NUM
cana-638	314	2	(	(	PUNCT
cana-638	314	3	2024	2024	NUM
cana-638	314	4	)	)	PUNCT
cana-638	314	5	250	250	NUM
cana-638	314	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	314	7	figure	figure	NOUN
cana-638	314	8	9	9	NUM
cana-638	314	9	.	.	PUNCT
cana-638	314	10	comparison	comparison	NOUN
cana-638	314	11	of	of	ADP
cana-638	314	12	classification	classification	NOUN
cana-638	314	13	figure	figure	NOUN
cana-638	314	14	10	10	NUM
cana-638	314	15	.	.	PUNCT
cana-638	315	1	comparison	comparison	NOUN
cana-638	315	2	of	of	ADP
cana-638	315	3	rmse	rmse	ADJ
cana-638	315	4	table	table	NOUN
cana-638	315	5	1	1	NUM
cana-638	315	6	presents	present	VERB
cana-638	315	7	a	a	DET
cana-638	315	8	comparative	comparative	ADJ
cana-638	315	9	analysis	analysis	NOUN
cana-638	315	10	of	of	ADP
cana-638	315	11	sentiment	sentiment	NOUN
cana-638	315	12	analysis	analysis	NOUN
cana-638	315	13	performance	performance	NOUN
cana-638	315	14	with	with	ADP
cana-638	315	15	and	and	CCONJ
cana-638	315	16	without	without	ADP
cana-638	315	17	feature	feature	NOUN
cana-638	315	18	selection	selection	NOUN
cana-638	315	19	using	use	VERB
cana-638	315	20	various	various	ADJ
cana-638	315	21	metrics	metric	NOUN
cana-638	315	22	.	.	PUNCT
cana-638	316	1	the	the	DET
cana-638	316	2	results	result	NOUN
cana-638	316	3	highlight	highlight	VERB
cana-638	316	4	the	the	DET
cana-638	316	5	impact	impact	NOUN
cana-638	316	6	of	of	ADP
cana-638	316	7	different	different	ADJ
cana-638	316	8	feature	feature	NOUN
cana-638	316	9	selection	selection	NOUN
cana-638	316	10	techniques	technique	NOUN
cana-638	316	11	,	,	PUNCT
cana-638	316	12	including	include	VERB
cana-638	316	13	document	document	NOUN
cana-638	316	14	frequency	frequency	NOUN
cana-638	316	15	subset	subset	NOUN
cana-638	316	16	(	(	PUNCT
cana-638	316	17	dfs	dfs	NOUN
cana-638	316	18	)	)	PUNCT
cana-638	316	19	,	,	PUNCT
cana-638	316	20	chi	chi	NOUN
cana-638	316	21	-	-	PUNCT
cana-638	316	22	square	square	ADJ
cana-638	316	23	,	,	PUNCT
cana-638	316	24	pointwise	pointwise	VERB
cana-638	316	25	mutual	mutual	ADJ
cana-638	316	26	information	information	NOUN
cana-638	316	27	(	(	PUNCT
cana-638	316	28	pmi	pmi	PROPN
cana-638	316	29	)	)	PUNCT
cana-638	316	30	,	,	PUNCT
cana-638	316	31	and	and	CCONJ
cana-638	316	32	their	their	PRON
cana-638	316	33	combination	combination	NOUN
cana-638	316	34	(	(	PUNCT
cana-638	316	35	dfs+chi+pmi	dfs+chi+pmi	PROPN
cana-638	316	36	)	)	PUNCT
cana-638	316	37	,	,	PUNCT
cana-638	316	38	on	on	ADP
cana-638	316	39	sentiment	sentiment	NOUN
cana-638	316	40	analysis	analysis	NOUN
cana-638	316	41	accuracy	accuracy	NOUN
cana-638	316	42	,	,	PUNCT
cana-638	316	43	precision	precision	NOUN
cana-638	316	44	,	,	PUNCT
cana-638	316	45	recall	recall	NOUN
cana-638	316	46	,	,	PUNCT
cana-638	316	47	and	and	CCONJ
cana-638	316	48	root	root	NOUN
cana-638	316	49	mean	mean	VERB
cana-638	316	50	squared	square	VERB
cana-638	316	51	error	error	NOUN
cana-638	316	52	(	(	PUNCT
cana-638	316	53	rmse	rmse	NOUN
cana-638	316	54	)	)	PUNCT
cana-638	316	55	.	.	PUNCT
cana-638	317	1	notably	notably	ADV
cana-638	317	2	,	,	PUNCT
cana-638	317	3	incorporating	incorporate	VERB
cana-638	317	4	feature	feature	NOUN
cana-638	317	5	selection	selection	NOUN
cana-638	317	6	techniques	technique	NOUN
cana-638	317	7	significantly	significantly	ADV
cana-638	317	8	improves	improve	VERB
cana-638	317	9	performance	performance	NOUN
cana-638	317	10	across	across	ADP
cana-638	317	11	all	all	DET
cana-638	317	12	metrics	metric	NOUN
cana-638	317	13	compared	compare	VERB
cana-638	317	14	to	to	ADP
cana-638	317	15	the	the	DET
cana-638	317	16	baseline	baseline	NOUN
cana-638	317	17	without	without	ADP
cana-638	317	18	feature	feature	NOUN
cana-638	317	19	selection	selection	NOUN
cana-638	317	20	.	.	PUNCT
cana-638	318	1	specifically	specifically	ADV
cana-638	318	2	,	,	PUNCT
cana-638	318	3	dfs	dfs	INTJ
cana-638	318	4	,	,	PUNCT
cana-638	318	5	chi	chi	ADJ
cana-638	318	6	-	-	PUNCT
cana-638	318	7	square	square	ADJ
cana-638	318	8	,	,	PUNCT
cana-638	318	9	and	and	CCONJ
cana-638	318	10	pmi	pmi	PROPN
cana-638	318	11	individually	individually	ADV
cana-638	318	12	enhance	enhance	VERB
cana-638	318	13	accuracy	accuracy	NOUN
cana-638	318	14	,	,	PUNCT
cana-638	318	15	precision	precision	NOUN
cana-638	318	16	,	,	PUNCT
cana-638	318	17	and	and	CCONJ
cana-638	318	18	recall	recall	NOUN
cana-638	318	19	,	,	PUNCT
cana-638	318	20	with	with	ADP
cana-638	318	21	notable	notable	ADJ
cana-638	318	22	improvements	improvement	NOUN
cana-638	318	23	observed	observe	VERB
cana-638	318	24	in	in	ADP
cana-638	318	25	precision	precision	NOUN
cana-638	318	26	and	and	CCONJ
cana-638	318	27	recall	recall	NOUN
cana-638	318	28	metrics	metric	NOUN
cana-638	318	29	.	.	PUNCT
cana-638	319	1	however	however	ADV
cana-638	319	2	,	,	PUNCT
cana-638	319	3	the	the	DET
cana-638	319	4	combined	combined	ADJ
cana-638	319	5	approach	approach	NOUN
cana-638	319	6	(	(	PUNCT
cana-638	319	7	dfs+chi+pmi	dfs+chi+pmi	PROPN
cana-638	319	8	)	)	PUNCT
cana-638	319	9	achieves	achieve	VERB
cana-638	319	10	the	the	DET
cana-638	319	11	highest	high	ADJ
cana-638	319	12	accuracy	accuracy	NOUN
cana-638	319	13	,	,	PUNCT
cana-638	319	14	precision	precision	NOUN
cana-638	319	15	,	,	PUNCT
cana-638	319	16	and	and	CCONJ
cana-638	319	17	recall	recall	NOUN
cana-638	319	18	,	,	PUNCT
cana-638	319	19	demonstrating	demonstrate	VERB
cana-638	319	20	the	the	DET
cana-638	319	21	complementary	complementary	ADJ
cana-638	319	22	benefits	benefit	NOUN
cana-638	319	23	of	of	ADP
cana-638	319	24	integrating	integrate	VERB
cana-638	319	25	multiple	multiple	ADJ
cana-638	319	26	feature	feature	NOUN
cana-638	319	27	selection	selection	NOUN
cana-638	319	28	methods	method	NOUN
cana-638	319	29	.	.	PUNCT
cana-638	320	1	nevertheless	nevertheless	ADV
cana-638	320	2	,	,	PUNCT
cana-638	320	3	rmse	rmse	ADJ
cana-638	320	4	values	value	NOUN
cana-638	320	5	indicate	indicate	VERB
cana-638	320	6	a	a	DET
cana-638	320	7	slight	slight	ADJ
cana-638	320	8	increase	increase	NOUN
cana-638	320	9	compared	compare	VERB
cana-638	320	10	to	to	ADP
cana-638	320	11	the	the	DET
cana-638	320	12	baseline	baseline	NOUN
cana-638	320	13	,	,	PUNCT
cana-638	320	14	suggesting	suggest	VERB
cana-638	320	15	a	a	DET
cana-638	320	16	trade	trade	NOUN
cana-638	320	17	-	-	PUNCT
cana-638	320	18	off	off	NOUN
cana-638	320	19	between	between	ADP
cana-638	320	20	classification	classification	NOUN
cana-638	320	21	accuracy	accuracy	NOUN
cana-638	320	22	and	and	CCONJ
cana-638	320	23	regression	regression	NOUN
cana-638	320	24	error	error	NOUN
cana-638	320	25	.	.	PUNCT
cana-638	321	1	figure	figure	NOUN
cana-638	321	2	7	7	NUM
cana-638	321	3	provides	provide	VERB
cana-638	321	4	a	a	DET
cana-638	321	5	visual	visual	ADJ
cana-638	321	6	representation	representation	NOUN
cana-638	321	7	of	of	ADP
cana-638	321	8	the	the	DET
cana-638	321	9	performance	performance	NOUN
cana-638	321	10	comparison	comparison	NOUN
cana-638	321	11	with	with	ADP
cana-638	321	12	and	and	CCONJ
cana-638	321	13	without	without	ADP
cana-638	321	14	feature	feature	NOUN
cana-638	321	15	selection	selection	NOUN
cana-638	321	16	,	,	PUNCT
cana-638	321	17	reinforcing	reinforce	VERB
cana-638	321	18	the	the	DET
cana-638	321	19	trends	trend	NOUN
cana-638	321	20	observed	observe	VERB
cana-638	321	21	in	in	ADP
cana-638	321	22	table	table	NOUN
cana-638	321	23	1	1	NUM
cana-638	321	24	and	and	CCONJ
cana-638	321	25	highlighting	highlight	VERB
cana-638	321	26	the	the	DET
cana-638	321	27	substantial	substantial	ADJ
cana-638	321	28	performance	performance	NOUN
cana-638	321	29	gains	gain	NOUN
cana-638	321	30	communications	communication	NOUN
cana-638	321	31	on	on	ADP
cana-638	321	32	applied	apply	VERB
cana-638	321	33	nonlinear	nonlinear	ADJ
cana-638	321	34	analysis	analysis	NOUN
cana-638	321	35	issn	issn	NOUN
cana-638	321	36	:	:	PUNCT
cana-638	321	37	1074	1074	NUM
cana-638	321	38	-	-	PUNCT
cana-638	321	39	133x	133x	NUM
cana-638	321	40	vol	vol	NOUN
cana-638	321	41	31	31	NUM
cana-638	321	42	no	no	NOUN
cana-638	321	43	.	.	PUNCT
cana-638	322	1	2s	2s	NUM
cana-638	322	2	(	(	PUNCT
cana-638	322	3	2024	2024	NUM
cana-638	322	4	)	)	PUNCT
cana-638	322	5	251	251	NUM
cana-638	322	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-638	322	7	achieved	achieve	VERB
cana-638	322	8	through	through	ADP
cana-638	322	9	feature	feature	NOUN
cana-638	322	10	selection	selection	NOUN
cana-638	322	11	techniques	technique	NOUN
cana-638	322	12	.	.	PUNCT
cana-638	323	1	table	table	NOUN
cana-638	323	2	2	2	NUM
cana-638	323	3	extends	extend	VERB
cana-638	323	4	the	the	DET
cana-638	323	5	comparative	comparative	ADJ
cana-638	323	6	analysis	analysis	NOUN
cana-638	323	7	by	by	ADP
cana-638	323	8	evaluating	evaluate	VERB
cana-638	323	9	the	the	DET
cana-638	323	10	performance	performance	NOUN
cana-638	323	11	of	of	ADP
cana-638	323	12	different	different	ADJ
cana-638	323	13	classification	classification	NOUN
cana-638	323	14	methods	method	NOUN
cana-638	323	15	,	,	PUNCT
cana-638	323	16	including	include	VERB
cana-638	323	17	latent	latent	ADJ
cana-638	323	18	dirichlet	dirichlet	PROPN
cana-638	323	19	allocation	allocation	NOUN
cana-638	323	20	(	(	PUNCT
cana-638	323	21	lda	lda	PROPN
cana-638	323	22	)	)	PUNCT
cana-638	323	23	and	and	CCONJ
cana-638	323	24	non	non	ADJ
cana-638	323	25	-	-	ADJ
cana-638	323	26	negative	negative	ADJ
cana-638	323	27	matrix	matrix	NOUN
cana-638	323	28	factorization	factorization	NOUN
cana-638	323	29	(	(	PUNCT
cana-638	323	30	nmf	nmf	NOUN
cana-638	323	31	)	)	PUNCT
cana-638	323	32	,	,	PUNCT
cana-638	323	33	support	support	NOUN
cana-638	323	34	vector	vector	NOUN
cana-638	323	35	machine	machine	NOUN
cana-638	323	36	(	(	PUNCT
cana-638	323	37	svm	svm	PROPN
cana-638	323	38	)	)	PUNCT
cana-638	323	39	,	,	PUNCT
cana-638	323	40	convolutional	convolutional	ADJ
cana-638	323	41	neural	neural	ADJ
cana-638	323	42	network	network	NOUN
cana-638	323	43	-	-	PUNCT
cana-638	323	44	long	long	ADJ
cana-638	323	45	short	short	ADJ
cana-638	323	46	-	-	PUNCT
cana-638	323	47	term	term	NOUN
cana-638	323	48	memory	memory	NOUN
cana-638	323	49	(	(	PUNCT
cana-638	323	50	cnn	cnn	PROPN
cana-638	323	51	-	-	PUNCT
cana-638	323	52	lstm	lstm	PROPN
cana-638	323	53	)	)	PUNCT
cana-638	323	54	,	,	PUNCT
cana-638	323	55	and	and	CCONJ
cana-638	323	56	kernel	kernel	PROPN
cana-638	323	57	extreme	extreme	PROPN
cana-638	323	58	learning	learning	NOUN
cana-638	323	59	machine	machine	NOUN
cana-638	323	60	(	(	PUNCT
cana-638	323	61	kelm	kelm	PROPN
cana-638	323	62	)	)	PUNCT
cana-638	323	63	.	.	PUNCT
cana-638	324	1	the	the	DET
cana-638	324	2	results	result	NOUN
cana-638	324	3	demonstrate	demonstrate	VERB
cana-638	324	4	varying	vary	VERB
cana-638	324	5	degrees	degree	NOUN
cana-638	324	6	of	of	ADP
cana-638	324	7	performance	performance	NOUN
cana-638	324	8	across	across	ADP
cana-638	324	9	classification	classification	NOUN
cana-638	324	10	methods	method	NOUN
cana-638	324	11	,	,	PUNCT
cana-638	324	12	with	with	ADP
cana-638	324	13	cnnlstm	cnnlstm	NOUN
cana-638	324	14	and	and	CCONJ
cana-638	324	15	kelm	kelm	PROPN
cana-638	324	16	outperforming	outperforming	NOUN
cana-638	324	17	lda	lda	PROPN
cana-638	324	18	and	and	CCONJ
cana-638	324	19	nmf	nmf	NOUN
cana-638	324	20	as	as	ADV
cana-638	324	21	well	well	ADV
cana-638	324	22	as	as	ADP
cana-638	324	23	svm	svm	ADJ
cana-638	324	24	in	in	ADP
cana-638	324	25	terms	term	NOUN
cana-638	324	26	of	of	ADP
cana-638	324	27	accuracy	accuracy	NOUN
cana-638	324	28	,	,	PUNCT
cana-638	324	29	precision	precision	NOUN
cana-638	324	30	,	,	PUNCT
cana-638	324	31	recall	recall	NOUN
cana-638	324	32	,	,	PUNCT
cana-638	324	33	and	and	CCONJ
cana-638	324	34	rmse	rmse	NOUN
cana-638	324	35	.	.	PUNCT
cana-638	325	1	particularly	particularly	ADV
cana-638	325	2	,	,	PUNCT
cana-638	325	3	cnn	cnn	PROPN
cana-638	325	4	-	-	PUNCT
cana-638	325	5	lstm	lstm	PROPN
cana-638	325	6	and	and	CCONJ
cana-638	325	7	kelm	kelm	PROPN
cana-638	325	8	exhibit	exhibit	VERB
cana-638	325	9	superior	superior	ADJ
cana-638	325	10	performance	performance	NOUN
cana-638	325	11	across	across	ADP
cana-638	325	12	all	all	DET
cana-638	325	13	metrics	metric	NOUN
cana-638	325	14	,	,	PUNCT
cana-638	325	15	indicating	indicate	VERB
cana-638	325	16	their	their	PRON
cana-638	325	17	efficacy	efficacy	NOUN
cana-638	325	18	in	in	ADP
cana-638	325	19	sentiment	sentiment	NOUN
cana-638	325	20	analysis	analysis	NOUN
cana-638	325	21	tasks	task	NOUN
cana-638	325	22	.	.	PUNCT
cana-638	326	1	figure	figure	NOUN
cana-638	326	2	8	8	NUM
cana-638	326	3	visually	visually	ADV
cana-638	326	4	compares	compare	VERB
cana-638	326	5	the	the	DET
cana-638	326	6	classification	classification	NOUN
cana-638	326	7	methods	method	NOUN
cana-638	326	8	,	,	PUNCT
cana-638	326	9	corroborating	corroborate	VERB
cana-638	326	10	the	the	DET
cana-638	326	11	findings	finding	NOUN
cana-638	326	12	presented	present	VERB
cana-638	326	13	in	in	ADP
cana-638	326	14	table	table	NOUN
cana-638	326	15	2	2	NUM
cana-638	326	16	and	and	CCONJ
cana-638	326	17	emphasizing	emphasize	VERB
cana-638	326	18	the	the	DET
cana-638	326	19	relative	relative	ADJ
cana-638	326	20	performance	performance	NOUN
cana-638	326	21	of	of	ADP
cana-638	326	22	each	each	DET
cana-638	326	23	method	method	NOUN
cana-638	326	24	in	in	ADP
cana-638	326	25	terms	term	NOUN
cana-638	326	26	of	of	ADP
cana-638	326	27	accuracy	accuracy	NOUN
cana-638	326	28	,	,	PUNCT
cana-638	326	29	precision	precision	NOUN
cana-638	326	30	,	,	PUNCT
cana-638	326	31	recall	recall	NOUN
cana-638	326	32	,	,	PUNCT
cana-638	326	33	and	and	CCONJ
cana-638	326	34	rmse	rmse	NOUN
cana-638	326	35	.	.	PUNCT
cana-638	327	1	overall	overall	ADV
cana-638	327	2	,	,	PUNCT
cana-638	327	3	the	the	DET
cana-638	327	4	comparative	comparative	ADJ
cana-638	327	5	analysis	analysis	NOUN
cana-638	327	6	underscores	underscore	VERB
cana-638	327	7	the	the	DET
cana-638	327	8	importance	importance	NOUN
cana-638	327	9	of	of	ADP
cana-638	327	10	feature	feature	NOUN
cana-638	327	11	selection	selection	NOUN
cana-638	327	12	techniques	technique	NOUN
cana-638	327	13	and	and	CCONJ
cana-638	327	14	the	the	DET
cana-638	327	15	effectiveness	effectiveness	NOUN
cana-638	327	16	of	of	ADP
cana-638	327	17	advanced	advanced	ADJ
cana-638	327	18	classification	classification	NOUN
cana-638	327	19	methods	method	NOUN
cana-638	327	20	in	in	ADP
cana-638	327	21	improving	improve	VERB
cana-638	327	22	sentiment	sentiment	NOUN
cana-638	327	23	analysis	analysis	NOUN
cana-638	327	24	performance	performance	NOUN
cana-638	327	25	.	.	PUNCT
cana-638	328	1	5	5	X
cana-638	328	2	.	.	X
cana-638	328	3	conclusion	conclusion	VERB
cana-638	328	4	the	the	DET
cana-638	328	5	sentiments	sentiment	NOUN
cana-638	328	6	from	from	ADP
cana-638	328	7	the	the	DET
cana-638	328	8	classified	classify	VERB
cana-638	328	9	messages	message	NOUN
cana-638	328	10	are	be	AUX
cana-638	328	11	determined	determine	VERB
cana-638	328	12	using	use	VERB
cana-638	328	13	hho	hho	NOUN
cana-638	328	14	based	base	VERB
cana-638	328	15	frnn	frnn	PROPN
cana-638	328	16	classifier	classifier	NOUN
cana-638	328	17	.	.	PUNCT
cana-638	329	1	before	before	ADP
cana-638	329	2	that	that	PRON
cana-638	329	3	,	,	PUNCT
cana-638	329	4	the	the	DET
cana-638	329	5	messages	message	NOUN
cana-638	329	6	need	need	VERB
cana-638	329	7	to	to	PART
cana-638	329	8	be	be	AUX
cana-638	329	9	preprocessed	preprocesse	VERB
cana-638	329	10	because	because	SCONJ
cana-638	329	11	pre	pre	ADJ
cana-638	329	12	-	-	ADJ
cana-638	329	13	processing	processing	NOUN
cana-638	329	14	may	may	AUX
cana-638	329	15	reduce	reduce	VERB
cana-638	329	16	the	the	DET
cana-638	329	17	error	error	NOUN
cana-638	329	18	rate	rate	NOUN
cana-638	329	19	of	of	ADP
cana-638	329	20	the	the	DET
cana-638	329	21	classification	classification	NOUN
cana-638	329	22	process	process	NOUN
cana-638	329	23	.	.	PUNCT
cana-638	330	1	the	the	DET
cana-638	330	2	features	feature	NOUN
cana-638	330	3	that	that	PRON
cana-638	330	4	are	be	AUX
cana-638	330	5	presented	present	VERB
cana-638	330	6	in	in	ADP
cana-638	330	7	preprocessed	preprocesse	VERB
cana-638	330	8	data	datum	NOUN
cana-638	330	9	are	be	AUX
cana-638	330	10	extracted	extract	VERB
cana-638	330	11	using	use	VERB
cana-638	330	12	sentiment	sentiment	NOUN
cana-638	330	13	-	-	PUNCT
cana-638	330	14	based	base	VERB
cana-638	330	15	and	and	CCONJ
cana-638	330	16	classification	classification	NOUN
cana-638	330	17	-	-	PUNCT
cana-638	330	18	based	base	VERB
cana-638	330	19	feature	feature	NOUN
cana-638	330	20	extraction	extraction	NOUN
cana-638	330	21	techniques	technique	NOUN
cana-638	330	22	.	.	PUNCT
cana-638	331	1	finally	finally	ADV
cana-638	331	2	,	,	PUNCT
cana-638	331	3	the	the	DET
cana-638	331	4	dimension	dimension	NOUN
cana-638	331	5	of	of	ADP
cana-638	331	6	ex	ex	PROPN
cana-638	331	7	tracted	tracte	VERB
cana-638	331	8	features	feature	NOUN
cana-638	331	9	is	be	AUX
cana-638	331	10	reduced	reduce	VERB
cana-638	331	11	using	use	VERB
cana-638	331	12	the	the	DET
cana-638	331	13	three	three	NUM
cana-638	331	14	most	most	ADV
cana-638	331	15	efficient	efficient	ADJ
cana-638	331	16	feature	feature	NOUN
cana-638	331	17	selection	selection	NOUN
cana-638	331	18	techniques	technique	NOUN
cana-638	331	19	.	.	PUNCT
cana-638	332	1	then	then	ADV
cana-638	332	2	,	,	PUNCT
cana-638	332	3	the	the	DET
cana-638	332	4	selected	select	VERB
cana-638	332	5	features	feature	NOUN
cana-638	332	6	are	be	AUX
cana-638	332	7	provided	provide	VERB
cana-638	332	8	to	to	ADP
cana-638	332	9	the	the	DET
cana-638	332	10	classification	classification	NOUN
cana-638	332	11	algorithm	algorithm	NOUN
cana-638	332	12	.	.	PUNCT
cana-638	333	1	reference	reference	NOUN
cana-638	333	2	[	[	X
cana-638	333	3	1	1	NUM
cana-638	333	4	]	]	X
cana-638	333	5	alameri	alameri	PROPN
cana-638	333	6	,	,	PUNCT
cana-638	333	7	i.	i.	PROPN
cana-638	333	8	,	,	PUNCT
cana-638	333	9	komarkova	komarkova	PROPN
cana-638	333	10	,	,	PUNCT
cana-638	333	11	j.	j.	PROPN
cana-638	333	12	,	,	PUNCT
cana-638	333	13	&	&	CCONJ
cana-638	333	14	ramadhan	ramadhan	PROPN
cana-638	333	15	,	,	PUNCT
cana-638	333	16	m.	m.	NOUN
cana-638	333	17	k.	k.	PROPN
cana-638	333	18	(	(	PUNCT
cana-638	333	19	2021	2021	NUM
cana-638	333	20	,	,	PUNCT
cana-638	333	21	june	june	PROPN
cana-638	333	22	)	)	PUNCT
cana-638	333	23	.	.	PUNCT
cana-638	334	1	conceptual	conceptual	ADJ
cana-638	334	2	analysis	analysis	NOUN
cana-638	334	3	of	of	ADP
cana-638	334	4	single	single	ADJ
cana-638	334	5	and	and	CCONJ
cana-638	334	6	multiple	multiple	ADJ
cana-638	334	7	path	path	NOUN
cana-638	334	8	routing	routing	NOUN
cana-638	334	9	in	in	ADP
cana-638	334	10	manet	manet	NOUN
cana-638	334	11	network	network	NOUN
cana-638	334	12	.	.	PUNCT
cana-638	335	1	in	in	ADP
cana-638	335	2	2021	2021	NUM
cana-638	335	3	international	international	ADJ
cana-638	335	4	conference	conference	NOUN
cana-638	335	5	on	on	ADP
cana-638	335	6	information	information	NOUN
cana-638	335	7	and	and	CCONJ
cana-638	335	8	digital	digital	ADJ
cana-638	335	9	technologies	technology	NOUN
cana-638	335	10	(	(	PUNCT
cana-638	335	11	idt	idt	PROPN
cana-638	335	12	)	)	PUNCT
cana-638	335	13	(	(	PUNCT
cana-638	335	14	pp	pp	PROPN
cana-638	335	15	.	.	PUNCT
cana-638	335	16	235	235	NUM
cana-638	335	17	-	-	SYM
cana-638	335	18	244	244	NUM
cana-638	335	19	)	)	PUNCT
cana-638	335	20	.	.	PUNCT
cana-638	336	1	ieee	ieee	NOUN
cana-638	336	2	.	.	PUNCT
cana-638	337	1	[	[	X
cana-638	337	2	2	2	NUM
cana-638	337	3	]	]	PUNCT
cana-638	337	4	mankotia	mankotia	PROPN
cana-638	337	5	,	,	PUNCT
cana-638	337	6	v.	v.	PROPN
cana-638	337	7	,	,	PUNCT
cana-638	337	8	sunkaria	sunkaria	PROPN
cana-638	337	9	,	,	PUNCT
cana-638	337	10	r.	r.	PROPN
cana-638	337	11	k.	k.	PROPN
cana-638	337	12	,	,	PUNCT
cana-638	337	13	&	&	CCONJ
cana-638	337	14	gurung	gurung	PROPN
cana-638	337	15	,	,	PUNCT
cana-638	337	16	s.	s.	PROPN
cana-638	337	17	(	(	PUNCT
cana-638	337	18	2023	2023	NUM
cana-638	337	19	)	)	PUNCT
cana-638	337	20	.	.	PUNCT
cana-638	338	1	dt	dt	PROPN
cana-638	338	2	-	-	PUNCT
cana-638	338	3	aodv	aodv	NOUN
cana-638	338	4	:	:	PUNCT
cana-638	338	5	a	a	DET
cana-638	338	6	dynamic	dynamic	ADJ
cana-638	338	7	threshold	threshold	NOUN
cana-638	338	8	protocol	protocol	NOUN
cana-638	338	9	against	against	ADP
cana-638	338	10	black	black	ADJ
cana-638	338	11	-	-	PUNCT
cana-638	338	12	hole	hole	NOUN
cana-638	338	13	attack	attack	NOUN
cana-638	338	14	in	in	ADP
cana-638	338	15	manet	manet	PROPN
cana-638	338	16	.	.	PUNCT
cana-638	339	1	sādhanā	sādhanā	PROPN
cana-638	339	2	,	,	PUNCT
cana-638	339	3	48(4	48(4	NUM
cana-638	339	4	)	)	PUNCT
cana-638	339	5	,	,	PUNCT
cana-638	339	6	190	190	NUM
cana-638	339	7	.	.	PUNCT
cana-638	340	1	[	[	X
cana-638	340	2	3	3	NUM
cana-638	340	3	]	]	X
cana-638	340	4	ramalingam	ramalingam	NOUN
cana-638	340	5	,	,	PUNCT
cana-638	340	6	r.	r.	PROPN
cana-638	340	7	,	,	PUNCT
cana-638	340	8	muniyan	muniyan	PROPN
cana-638	340	9	,	,	PUNCT
cana-638	340	10	r.	r.	PROPN
cana-638	340	11	,	,	PUNCT
cana-638	340	12	dumka	dumka	PROPN
cana-638	340	13	,	,	PUNCT
cana-638	340	14	a.	a.	NOUN
cana-638	340	15	,	,	PUNCT
cana-638	340	16	singh	singh	PROPN
cana-638	340	17	,	,	PUNCT
cana-638	340	18	d.	d.	PROPN
cana-638	340	19	p.	p.	PROPN
cana-638	340	20	,	,	PUNCT
cana-638	340	21	mohamed	mohamed	PROPN
cana-638	340	22	,	,	PUNCT
cana-638	340	23	h.	h.	PROPN
cana-638	340	24	g.	g.	PROPN
cana-638	340	25	,	,	PUNCT
cana-638	340	26	singh	singh	PROPN
cana-638	340	27	,	,	PUNCT
cana-638	340	28	r.	r.	PROPN
cana-638	340	29	,	,	PUNCT
cana-638	340	30	...	...	PUNCT
cana-638	340	31	&	&	CCONJ
cana-638	340	32	noya	noya	PROPN
cana-638	340	33	,	,	PUNCT
cana-638	340	34	i.	i.	PROPN
cana-638	340	35	d.	d.	PROPN
cana-638	340	36	(	(	PUNCT
cana-638	340	37	2022	2022	NUM
cana-638	340	38	)	)	PUNCT
cana-638	340	39	.	.	PUNCT
cana-638	341	1	routing	route	VERB
cana-638	341	2	protocol	protocol	NOUN
cana-638	341	3	for	for	ADP
cana-638	341	4	manet	manet	NOUN
cana-638	341	5	based	base	VERB
cana-638	341	6	on	on	ADP
cana-638	341	7	qos	qos	NOUN
cana-638	341	8	-	-	PUNCT
cana-638	341	9	aware	aware	ADJ
cana-638	341	10	service	service	NOUN
cana-638	341	11	composition	composition	NOUN
cana-638	341	12	with	with	ADP
cana-638	341	13	dynamic	dynamic	ADJ
cana-638	341	14	secured	secure	VERB
cana-638	341	15	broker	broker	NOUN
cana-638	341	16	selection	selection	NOUN
cana-638	341	17	.	.	PUNCT
cana-638	342	1	electronics	electronic	NOUN
cana-638	342	2	,	,	PUNCT
cana-638	342	3	11(17	11(17	NUM
cana-638	342	4	)	)	PUNCT
cana-638	342	5	,	,	PUNCT
cana-638	342	6	2637	2637	NUM
cana-638	342	7	.	.	PUNCT
cana-638	343	1	[	[	X
cana-638	343	2	4	4	X
cana-638	343	3	]	]	X
cana-638	343	4	al	al	PROPN
cana-638	343	5	ogaili	ogaili	PROPN
cana-638	343	6	,	,	PUNCT
cana-638	343	7	r.	r.	PROPN
cana-638	343	8	,	,	PUNCT
cana-638	343	9	alsaeedi	alsaeedi	PROPN
cana-638	343	10	,	,	PUNCT
cana-638	343	11	a.	a.	PROPN
cana-638	343	12	h.	h.	PROPN
cana-638	343	13	,	,	PUNCT
cana-638	343	14	alkafagi	alkafagi	PROPN
cana-638	343	15	,	,	PUNCT
cana-638	343	16	s.	s.	PROPN
cana-638	343	17	s.	s.	PROPN
cana-638	343	18	,	,	PUNCT
cana-638	343	19	&	&	CCONJ
cana-638	343	20	alfoudi	alfoudi	PROPN
cana-638	343	21	,	,	PUNCT
cana-638	343	22	a.	a.	PROPN
cana-638	343	23	s.	s.	PROPN
cana-638	343	24	d.	d.	PROPN
cana-638	343	25	(	(	PUNCT
cana-638	343	26	2022	2022	NUM
cana-638	343	27	)	)	PUNCT
cana-638	343	28	.	.	PUNCT
cana-638	344	1	a	a	DET
cana-638	344	2	critical	critical	ADJ
cana-638	344	3	review	review	NOUN
cana-638	344	4	of	of	ADP
cana-638	344	5	optimization	optimization	NOUN
cana-638	344	6	manet	manet	NOUN
cana-638	344	7	routing	routing	NOUN
cana-638	344	8	protocols	protocol	NOUN
cana-638	344	9	.	.	PUNCT
cana-638	345	1	wasit	wasit	PROPN
cana-638	345	2	journal	journal	PROPN
cana-638	345	3	of	of	ADP
cana-638	345	4	computer	computer	NOUN
cana-638	345	5	and	and	CCONJ
cana-638	345	6	mathematics	mathematic	NOUN
cana-638	345	7	sciences	science	NOUN
cana-638	345	8	,	,	PUNCT
cana-638	345	9	1(4	1(4	NUM
cana-638	345	10	)	)	PUNCT
cana-638	345	11	,	,	PUNCT
cana-638	345	12	70	70	NUM
cana-638	345	13	-	-	SYM
cana-638	345	14	86	86	NUM
cana-638	345	15	.	.	PUNCT
cana-638	346	1	[	[	X
cana-638	346	2	5	5	NUM
cana-638	346	3	]	]	SYM
cana-638	346	4	ramphull	ramphull	NOUN
cana-638	346	5	,	,	PUNCT
cana-638	346	6	d.	d.	PROPN
cana-638	346	7	,	,	PUNCT
cana-638	346	8	mungur	mungur	PROPN
cana-638	346	9	,	,	PUNCT
cana-638	346	10	a.	a.	NOUN
cana-638	346	11	,	,	PUNCT
cana-638	346	12	armoogum	armoogum	NOUN
cana-638	346	13	,	,	PUNCT
cana-638	346	14	s.	s.	PROPN
cana-638	346	15	,	,	PUNCT
cana-638	346	16	&	&	CCONJ
cana-638	346	17	pudaruth	pudaruth	PROPN
cana-638	346	18	,	,	PUNCT
cana-638	346	19	s.	s.	PROPN
cana-638	346	20	(	(	PUNCT
cana-638	346	21	2021	2021	NUM
cana-638	346	22	,	,	PUNCT
cana-638	346	23	may	may	AUX
cana-638	346	24	)	)	PUNCT
cana-638	346	25	.	.	PUNCT
cana-638	347	1	a	a	DET
cana-638	347	2	review	review	NOUN
cana-638	347	3	of	of	ADP
cana-638	347	4	mobile	mobile	ADJ
cana-638	347	5	ad	ad	NOUN
cana-638	347	6	hoc	hoc	X
cana-638	347	7	network	network	NOUN
cana-638	347	8	(	(	PUNCT
cana-638	347	9	manet	manet	NOUN
cana-638	347	10	)	)	PUNCT
cana-638	347	11	protocols	protocol	NOUN
cana-638	347	12	and	and	CCONJ
cana-638	347	13	their	their	PRON
cana-638	347	14	applications	application	NOUN
cana-638	347	15	.	.	PUNCT
cana-638	348	1	in	in	ADP
cana-638	348	2	2021	2021	NUM
cana-638	348	3	5th	5th	ADJ
cana-638	348	4	international	international	ADJ
cana-638	348	5	conference	conference	NOUN
cana-638	348	6	on	on	ADP
cana-638	348	7	intelligent	intelligent	ADJ
cana-638	348	8	computing	computing	NOUN
cana-638	348	9	and	and	CCONJ
cana-638	348	10	control	control	NOUN
cana-638	348	11	systems	system	NOUN
cana-638	348	12	(	(	PUNCT
cana-638	348	13	iciccs	iciccs	PROPN
cana-638	348	14	)	)	PUNCT
cana-638	348	15	(	(	PUNCT
cana-638	348	16	pp	pp	ADJ
cana-638	348	17	.	.	PUNCT
cana-638	349	1	204	204	NUM
cana-638	349	2	-	-	SYM
cana-638	349	3	211	211	NUM
cana-638	349	4	)	)	PUNCT
cana-638	349	5	.	.	PUNCT
cana-638	350	1	ieee	ieee	NOUN
cana-638	350	2	.	.	PUNCT
cana-638	351	1	[	[	X
cana-638	351	2	6	6	NUM
cana-638	351	3	]	]	X
cana-638	351	4	kaur	kaur	PROPN
cana-638	351	5	,	,	PUNCT
cana-638	351	6	g.	g.	PROPN
cana-638	351	7	and	and	CCONJ
cana-638	351	8	thakur	thakur	PROPN
cana-638	351	9	,	,	PUNCT
cana-638	351	10	p.	p.	NOUN
cana-638	351	11	,	,	PUNCT
cana-638	351	12	2019	2019	NUM
cana-638	351	13	,	,	PUNCT
cana-638	351	14	july	july	PROPN
cana-638	351	15	.	.	PUNCT
cana-638	352	1	routing	route	VERB
cana-638	352	2	protocols	protocol	NOUN
cana-638	352	3	in	in	ADP
cana-638	352	4	manet	manet	NOUN
cana-638	352	5	:	:	PUNCT
cana-638	352	6	an	an	DET
cana-638	352	7	overview	overview	NOUN
cana-638	352	8	.	.	PUNCT
cana-638	353	1	in	in	ADP
cana-638	353	2	2019	2019	NUM
cana-638	353	3	2nd	2nd	ADJ
cana-638	353	4	international	international	ADJ
cana-638	353	5	conference	conference	NOUN
cana-638	353	6	on	on	ADP
cana-638	353	7	intelligent	intelligent	ADJ
cana-638	353	8	computing	computing	NOUN
cana-638	353	9	,	,	PUNCT
cana-638	353	10	instrumentation	instrumentation	NOUN
cana-638	353	11	and	and	CCONJ
cana-638	353	12	control	control	NOUN
cana-638	353	13	technologies	technology	NOUN
cana-638	353	14	(	(	PUNCT
cana-638	353	15	icicict	icicict	NOUN
cana-638	353	16	)	)	PUNCT
cana-638	353	17	(	(	PUNCT
cana-638	353	18	vol	vol	NOUN
cana-638	353	19	.	.	NOUN
cana-638	353	20	1	1	NUM
cana-638	353	21	,	,	PUNCT
cana-638	353	22	pp	pp	ADJ
cana-638	353	23	.	.	PUNCT
cana-638	354	1	935	935	NUM
cana-638	354	2	-	-	SYM
cana-638	354	3	941	941	NUM
cana-638	354	4	)	)	PUNCT
cana-638	354	5	.	.	PUNCT
cana-638	355	1	ieee	ieee	NOUN
cana-638	355	2	.	.	PUNCT
cana-638	356	1	[	[	X
cana-638	356	2	7	7	NUM
cana-638	356	3	]	]	X
cana-638	356	4	chitkara	chitkara	NOUN
cana-638	356	5	,	,	PUNCT
cana-638	356	6	m.	m.	NOUN
cana-638	356	7	,	,	PUNCT
cana-638	356	8	&	&	CCONJ
cana-638	356	9	ahmad	ahmad	PROPN
cana-638	356	10	,	,	PUNCT
cana-638	356	11	m.	m.	PROPN
cana-638	356	12	w.	w.	PROPN
cana-638	356	13	(	(	PUNCT
cana-638	356	14	2014	2014	NUM
cana-638	356	15	)	)	PUNCT
cana-638	356	16	.	.	PUNCT
cana-638	357	1	review	review	NOUN
cana-638	357	2	on	on	ADP
cana-638	357	3	manet	manet	NOUN
cana-638	357	4	:	:	PUNCT
cana-638	357	5	characteristics	characteristic	NOUN
cana-638	357	6	,	,	PUNCT
cana-638	357	7	challenges	challenge	NOUN
cana-638	357	8	,	,	PUNCT
cana-638	357	9	imperatives	imperative	NOUN
cana-638	357	10	and	and	CCONJ
cana-638	357	11	routing	route	VERB
cana-638	357	12	protocols	protocol	NOUN
cana-638	357	13	.	.	PUNCT
cana-638	358	1	international	international	ADJ
cana-638	358	2	journal	journal	NOUN
cana-638	358	3	of	of	ADP
cana-638	358	4	computer	computer	NOUN
cana-638	358	5	science	science	NOUN
cana-638	358	6	and	and	CCONJ
cana-638	358	7	mobile	mobile	NOUN
cana-638	358	8	computing	computing	NOUN
cana-638	358	9	,	,	PUNCT
cana-638	358	10	3(2	3(2	NUM
cana-638	358	11	)	)	PUNCT
cana-638	358	12	,	,	PUNCT
cana-638	358	13	432	432	NUM
cana-638	358	14	-	-	SYM
cana-638	358	15	437	437	NUM
cana-638	358	16	.	.	PUNCT
cana-638	359	1	[	[	X
cana-638	359	2	8	8	NUM
cana-638	359	3	]	]	PUNCT
cana-638	359	4	abbas	abbas	PROPN
cana-638	359	5	,	,	PUNCT
cana-638	359	6	t.	t.	PROPN
cana-638	359	7	,	,	PUNCT
cana-638	359	8	qamar	qamar	PROPN
cana-638	359	9	,	,	PUNCT
cana-638	359	10	f.	f.	PROPN
cana-638	359	11	,	,	PUNCT
cana-638	359	12	hindia	hindia	PROPN
cana-638	359	13	,	,	PUNCT
cana-638	359	14	m.	m.	NOUN
cana-638	359	15	n.	n.	PROPN
cana-638	359	16	,	,	PUNCT
cana-638	359	17	hassan	hassan	PROPN
cana-638	359	18	,	,	PUNCT
cana-638	359	19	r.	r.	PROPN
cana-638	359	20	,	,	PUNCT
cana-638	359	21	ahmed	ahmed	PROPN
cana-638	359	22	,	,	PUNCT
cana-638	359	23	i.	i.	PROPN
cana-638	359	24	,	,	PUNCT
cana-638	359	25	&	&	CCONJ
cana-638	359	26	aslam	aslam	PROPN
cana-638	359	27	,	,	PUNCT
cana-638	359	28	m.	m.	NOUN
cana-638	359	29	i.	i.	PROPN
cana-638	359	30	(	(	PUNCT
cana-638	359	31	2020	2020	NUM
cana-638	359	32	,	,	PUNCT
cana-638	359	33	september	september	PROPN
cana-638	359	34	)	)	PUNCT
cana-638	359	35	.	.	PUNCT
cana-638	360	1	performance	performance	NOUN
cana-638	360	2	analysis	analysis	NOUN
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cana-638	360	4	ad	ad	X
cana-638	360	5	hoc	hoc	X
cana-638	360	6	on	on	ADP
cana-638	360	7	-	-	PUNCT
cana-638	360	8	demand	demand	NOUN
cana-638	360	9	distance	distance	NOUN
cana-638	360	10	vector	vector	NOUN
cana-638	360	11	routing	routing	NOUN
cana-638	360	12	protocol	protocol	NOUN
cana-638	360	13	for	for	ADP
cana-638	360	14	manet	manet	NOUN
cana-638	360	15	.	.	PUNCT
cana-638	361	1	in	in	ADP
cana-638	361	2	2020	2020	NUM
cana-638	361	3	ieee	ieee	NOUN
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cana-638	361	6	on	on	ADP
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cana-638	361	10	(	(	PUNCT
cana-638	361	11	scored	score	VERB
cana-638	361	12	)	)	PUNCT
cana-638	361	13	(	(	PUNCT
cana-638	361	14	pp	pp	ADJ
cana-638	361	15	.	.	PUNCT
cana-638	362	1	194	194	NUM
cana-638	362	2	-	-	SYM
cana-638	362	3	199	199	NUM
cana-638	362	4	)	)	PUNCT
cana-638	362	5	.	.	PUNCT
cana-638	363	1	ieee	ieee	PROPN
cana-638	363	2	.	.	PUNCT
cana-638	364	1	[	[	X
cana-638	364	2	9	9	NUM
cana-638	364	3	]	]	X
cana-638	364	4	saudi	saudi	ADJ
cana-638	364	5	,	,	PUNCT
cana-638	364	6	n.	n.	NOUN
cana-638	364	7	a.	a.	NOUN
cana-638	364	8	m.	m.	PROPN
cana-638	364	9	,	,	PUNCT
cana-638	364	10	arshad	arshad	ADJ
cana-638	364	11	,	,	PUNCT
cana-638	364	12	m.	m.	NOUN
cana-638	364	13	a.	a.	PROPN
cana-638	364	14	,	,	PUNCT
cana-638	364	15	buja	buja	PROPN
cana-638	364	16	,	,	PUNCT
cana-638	364	17	a.	a.	NOUN
cana-638	364	18	g.	g.	PROPN
cana-638	364	19	,	,	PUNCT
cana-638	364	20	fadzil	fadzil	PROPN
cana-638	364	21	,	,	PUNCT
cana-638	364	22	a.	a.	PROPN
cana-638	364	23	f.	f.	PROPN
cana-638	364	24	a.	a.	PROPN
cana-638	364	25	,	,	PUNCT
cana-638	364	26	&	&	CCONJ
cana-638	364	27	saidi	saidi	PROPN
cana-638	364	28	,	,	PUNCT
cana-638	364	29	r.	r.	PROPN
cana-638	364	30	m.	m.	PROPN
cana-638	364	31	(	(	PUNCT
cana-638	364	32	2019	2019	NUM
cana-638	364	33	)	)	PUNCT
cana-638	364	34	.	.	PUNCT
cana-638	365	1	mobile	mobile	ADJ
cana-638	365	2	ad	ad	NOUN
cana-638	365	3	-	-	PUNCT
cana-638	365	4	hoc	hoc	X
cana-638	365	5	network	network	NOUN
cana-638	365	6	(	(	PUNCT
cana-638	365	7	manet	manet	NOUN
cana-638	365	8	)	)	PUNCT
cana-638	365	9	routing	route	VERB
cana-638	365	10	protocols	protocol	NOUN
cana-638	365	11	:	:	PUNCT
cana-638	365	12	a	a	DET
cana-638	365	13	performance	performance	NOUN
cana-638	365	14	assessment	assessment	NOUN
cana-638	365	15	.	.	PUNCT
cana-638	366	1	in	in	ADP
cana-638	366	2	proceedings	proceeding	NOUN
cana-638	366	3	of	of	ADP
cana-638	366	4	the	the	DET
cana-638	366	5	third	third	ADJ
cana-638	366	6	international	international	ADJ
cana-638	366	7	conference	conference	NOUN
cana-638	366	8	on	on	ADP
cana-638	366	9	computing	computing	NOUN
cana-638	366	10	,	,	PUNCT
cana-638	366	11	communications	communication	NOUN
cana-638	366	12	on	on	ADP
cana-638	366	13	applied	apply	VERB
cana-638	366	14	nonlinear	nonlinear	ADJ
cana-638	366	15	analysis	analysis	NOUN
cana-638	366	16	issn	issn	NOUN
cana-638	366	17	:	:	PUNCT
cana-638	366	18	1074	1074	NUM
cana-638	366	19	-	-	PUNCT
cana-638	366	20	133x	133x	NUM
cana-638	366	21	vol	vol	NOUN
cana-638	366	22	31	31	NUM
cana-638	366	23	no	no	NOUN
cana-638	366	24	.	.	PUNCT
cana-638	367	1	2s	2s	NUM
cana-638	367	2	(	(	PUNCT
cana-638	367	3	2024	2024	NUM
cana-638	367	4	)	)	PUNCT
cana-638	367	5	252	252	NUM
cana-638	367	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-638	367	7	mathematics	mathematic	NOUN
cana-638	367	8	and	and	CCONJ
cana-638	367	9	statistics	statistic	NOUN
cana-638	367	10	(	(	PUNCT
cana-638	367	11	icms2017	icms2017	PROPN
cana-638	367	12	)	)	PUNCT
cana-638	367	13	transcending	transcend	VERB
cana-638	367	14	boundaries	boundary	NOUN
cana-638	367	15	,	,	PUNCT
cana-638	367	16	embracing	embrace	VERB
cana-638	367	17	multidisciplinary	multidisciplinary	ADJ
cana-638	367	18	diversities	diversity	NOUN
cana-638	367	19	(	(	PUNCT
cana-638	367	20	pp	pp	ADJ
cana-638	367	21	.	.	PUNCT
cana-638	367	22	5359	5359	NUM
cana-638	367	23	)	)	PUNCT
cana-638	367	24	.	.	PUNCT
cana-638	368	1	springer	springer	PROPN
cana-638	368	2	singapore	singapore	PROPN
cana-638	368	3	.	.	PUNCT
cana-638	369	1	[	[	X
cana-638	369	2	10	10	NUM
cana-638	369	3	]	]	X
cana-638	369	4	alameri	alameri	PROPN
cana-638	369	5	,	,	PUNCT
cana-638	369	6	i.	i.	PROPN
cana-638	369	7	,	,	PUNCT
cana-638	369	8	komarkova	komarkova	PROPN
cana-638	369	9	,	,	PUNCT
cana-638	369	10	j.	j.	PROPN
cana-638	369	11	,	,	PUNCT
cana-638	369	12	&	&	CCONJ
cana-638	369	13	ramadhan	ramadhan	PROPN
cana-638	369	14	,	,	PUNCT
cana-638	369	15	m.	m.	NOUN
cana-638	369	16	k.	k.	PROPN
cana-638	369	17	(	(	PUNCT
cana-638	369	18	2021	2021	NUM
cana-638	369	19	,	,	PUNCT
cana-638	369	20	june	june	PROPN
cana-638	369	21	)	)	PUNCT
cana-638	369	22	.	.	PUNCT
cana-638	370	1	conceptual	conceptual	ADJ
cana-638	370	2	analysis	analysis	NOUN
cana-638	370	3	of	of	ADP
cana-638	370	4	single	single	ADJ
cana-638	370	5	and	and	CCONJ
cana-638	370	6	multiple	multiple	ADJ
cana-638	370	7	path	path	NOUN
cana-638	370	8	routing	routing	NOUN
cana-638	370	9	in	in	ADP
cana-638	370	10	manet	manet	NOUN
cana-638	370	11	network	network	NOUN
cana-638	370	12	.	.	PUNCT
cana-638	371	1	in	in	ADP
cana-638	371	2	2021	2021	NUM
cana-638	371	3	international	international	ADJ
cana-638	371	4	conference	conference	NOUN
cana-638	371	5	on	on	ADP
cana-638	371	6	information	information	NOUN
cana-638	371	7	and	and	CCONJ
cana-638	371	8	digital	digital	ADJ
cana-638	371	9	technologies	technology	NOUN
cana-638	371	10	(	(	PUNCT
cana-638	371	11	idt	idt	PROPN
cana-638	371	12	)	)	PUNCT
cana-638	371	13	(	(	PUNCT
cana-638	371	14	pp	pp	PROPN
cana-638	371	15	.	.	PUNCT
cana-638	371	16	235	235	NUM
cana-638	371	17	-	-	SYM
cana-638	371	18	244	244	NUM
cana-638	371	19	)	)	PUNCT
cana-638	371	20	.	.	PUNCT
cana-638	372	1	ieee	ieee	NOUN
cana-638	372	2	.	.	PUNCT
cana-638	373	1	[	[	X
cana-638	373	2	11	11	NUM
cana-638	373	3	]	]	X
cana-638	373	4	long	long	ADV
cana-638	373	5	,	,	PUNCT
cana-638	373	6	w.	w.	PROPN
cana-638	373	7	,	,	PUNCT
cana-638	373	8	jiao	jiao	PROPN
cana-638	373	9	,	,	PUNCT
cana-638	373	10	j.	j.	PROPN
cana-638	373	11	,	,	PUNCT
cana-638	373	12	liang	liang	PROPN
cana-638	373	13	,	,	PUNCT
cana-638	373	14	x.	x.	PROPN
cana-638	373	15	,	,	PUNCT
cana-638	373	16	&	&	CCONJ
cana-638	373	17	tang	tang	PROPN
cana-638	373	18	,	,	PUNCT
cana-638	373	19	m.	m.	NOUN
cana-638	373	20	(	(	PUNCT
cana-638	373	21	2018	2018	NUM
cana-638	373	22	)	)	PUNCT
cana-638	373	23	.	.	PUNCT
cana-638	374	1	an	an	DET
cana-638	374	2	exploration	exploration	NOUN
cana-638	374	3	-	-	PUNCT
cana-638	374	4	enhanced	enhance	VERB
cana-638	374	5	grey	grey	ADJ
cana-638	374	6	wolf	wolf	PROPN
cana-638	374	7	optimizer	optimizer	NOUN
cana-638	374	8	to	to	PART
cana-638	374	9	solve	solve	VERB
cana-638	374	10	highdimensional	highdimensional	PROPN
cana-638	374	11	numerical	numerical	PROPN
cana-638	374	12	optimization	optimization	NOUN
cana-638	374	13	.	.	PUNCT
cana-638	375	1	engineering	engineering	NOUN
cana-638	375	2	applications	application	NOUN
cana-638	375	3	of	of	ADP
cana-638	375	4	artificial	artificial	ADJ
cana-638	375	5	intelligence	intelligence	NOUN
cana-638	375	6	,	,	PUNCT
cana-638	375	7	68	68	NUM
cana-638	375	8	,	,	PUNCT
cana-638	375	9	63	63	NUM
cana-638	375	10	-	-	SYM
cana-638	375	11	80	80	NUM
cana-638	375	12	.	.	PUNCT
cana-638	376	1	[	[	X
cana-638	376	2	12	12	NUM
cana-638	376	3	]	]	X
cana-638	376	4	pu	pu	PROPN
cana-638	376	5	,	,	PUNCT
cana-638	376	6	x.	x.	PROPN
cana-638	376	7	,	,	PUNCT
cana-638	376	8	wu	wu	PROPN
cana-638	376	9	,	,	PUNCT
cana-638	376	10	g.	g.	PROPN
cana-638	376	11	,	,	PUNCT
cana-638	376	12	&	&	CCONJ
cana-638	376	13	yuan	yuan	PROPN
cana-638	376	14	,	,	PUNCT
cana-638	376	15	c.	c.	PROPN
cana-638	376	16	(	(	PUNCT
cana-638	376	17	2019	2019	NUM
cana-638	376	18	)	)	PUNCT
cana-638	376	19	.	.	PUNCT
cana-638	377	1	exploring	explore	VERB
cana-638	377	2	overall	overall	ADJ
cana-638	377	3	opinions	opinion	NOUN
cana-638	377	4	for	for	ADP
cana-638	377	5	document	document	NOUN
cana-638	377	6	level	level	NOUN
cana-638	377	7	sentiment	sentiment	NOUN
cana-638	377	8	classification	classification	NOUN
cana-638	377	9	with	with	ADP
cana-638	377	10	structural	structural	ADJ
cana-638	377	11	svm	svm	PROPN
cana-638	377	12	.	.	PROPN
cana-638	377	13	multimedia	multimedia	NOUN
cana-638	377	14	systems	system	NOUN
cana-638	377	15	,	,	PUNCT
cana-638	377	16	25	25	NUM
cana-638	377	17	,	,	PUNCT
cana-638	377	18	21	21	NUM
cana-638	377	19	-	-	SYM
cana-638	377	20	33	33	NUM
cana-638	377	21	.	.	PUNCT
cana-638	378	1	[	[	X
cana-638	378	2	13	13	NUM
cana-638	378	3	]	]	X
cana-638	378	4	al	al	PROPN
cana-638	378	5	-	-	PUNCT
cana-638	378	6	smadi	smadi	NOUN
cana-638	378	7	,	,	PUNCT
cana-638	378	8	m.	m.	NOUN
cana-638	378	9	,	,	PUNCT
cana-638	378	10	qawasmeh	qawasmeh	NOUN
cana-638	378	11	,	,	PUNCT
cana-638	378	12	o.	o.	PROPN
cana-638	378	13	,	,	PUNCT
cana-638	378	14	al	al	PROPN
cana-638	378	15	-	-	PUNCT
cana-638	378	16	ayyoub	ayyoub	PROPN
cana-638	378	17	,	,	PUNCT
cana-638	378	18	m.	m.	NOUN
cana-638	378	19	,	,	PUNCT
cana-638	378	20	jararweh	jararweh	PROPN
cana-638	378	21	,	,	PUNCT
cana-638	378	22	y.	y.	PROPN
cana-638	378	23	,	,	PUNCT
cana-638	378	24	&	&	CCONJ
cana-638	378	25	gupta	gupta	PROPN
cana-638	378	26	,	,	PUNCT
cana-638	378	27	b.	b.	PROPN
cana-638	378	28	(	(	PUNCT
cana-638	378	29	2018	2018	NUM
cana-638	378	30	)	)	PUNCT
cana-638	378	31	.	.	PUNCT
cana-638	379	1	deep	deep	ADJ
cana-638	379	2	recurrent	recurrent	ADJ
cana-638	379	3	neural	neural	ADJ
cana-638	379	4	network	network	NOUN
cana-638	379	5	vs.	vs.	ADP
cana-638	379	6	support	support	NOUN
cana-638	379	7	vector	vector	NOUN
cana-638	379	8	machine	machine	NOUN
cana-638	379	9	for	for	ADP
cana-638	379	10	aspect	aspect	NOUN
cana-638	379	11	-	-	PUNCT
cana-638	379	12	based	base	VERB
cana-638	379	13	sentiment	sentiment	NOUN
cana-638	379	14	analysis	analysis	NOUN
cana-638	379	15	of	of	ADP
cana-638	379	16	arabic	arabic	ADJ
cana-638	379	17	hotels	hotel	NOUN
cana-638	379	18	’	'	PUNCT
cana-638	379	19	reviews	review	NOUN
cana-638	379	20	.	.	PUNCT
cana-638	380	1	journal	journal	NOUN
cana-638	380	2	of	of	ADP
cana-638	380	3	computational	computational	ADJ
cana-638	380	4	science	science	NOUN
cana-638	380	5	,	,	PUNCT
cana-638	380	6	27	27	NUM
cana-638	380	7	,	,	PUNCT
cana-638	380	8	386	386	NUM
cana-638	380	9	-	-	SYM
cana-638	380	10	393	393	NUM
cana-638	380	11	.	.	PUNCT
cana-638	381	1	[	[	X
cana-638	381	2	14	14	NUM
cana-638	381	3	]	]	SYM
cana-638	381	4	moraes	moraes	PROPN
cana-638	381	5	,	,	PUNCT
cana-638	381	6	r.	r.	PROPN
cana-638	381	7	,	,	PUNCT
cana-638	381	8	valiati	valiati	PROPN
cana-638	381	9	,	,	PUNCT
cana-638	381	10	j.	j.	PROPN
cana-638	381	11	f.	f.	PROPN
cana-638	381	12	,	,	PUNCT
cana-638	381	13	&	&	CCONJ
cana-638	381	14	neto	neto	PROPN
cana-638	381	15	,	,	PUNCT
cana-638	381	16	w.	w.	PROPN
cana-638	381	17	p.	p.	PROPN
cana-638	381	18	g.	g.	PROPN
cana-638	381	19	(	(	PUNCT
cana-638	381	20	2013	2013	NUM
cana-638	381	21	)	)	PUNCT
cana-638	381	22	.	.	PUNCT
cana-638	382	1	document	document	NOUN
cana-638	382	2	-	-	PUNCT
cana-638	382	3	level	level	NOUN
cana-638	382	4	sentiment	sentiment	NOUN
cana-638	382	5	classification	classification	NOUN
cana-638	382	6	:	:	PUNCT
cana-638	382	7	an	an	DET
cana-638	382	8	empirical	empirical	ADJ
cana-638	382	9	comparison	comparison	NOUN
cana-638	382	10	between	between	ADP
cana-638	382	11	svm	svm	PROPN
cana-638	382	12	and	and	CCONJ
cana-638	382	13	ann	ann	PROPN
cana-638	382	14	.	.	PUNCT
cana-638	383	1	expert	expert	NOUN
cana-638	383	2	systems	system	NOUN
cana-638	383	3	with	with	ADP
cana-638	383	4	applications	application	NOUN
cana-638	383	5	,	,	PUNCT
cana-638	383	6	40(2	40(2	NUM
cana-638	383	7	)	)	PUNCT
cana-638	383	8	,	,	PUNCT
cana-638	383	9	621	621	NUM
cana-638	383	10	-	-	SYM
cana-638	383	11	633	633	NUM
cana-638	383	12	.	.	PUNCT
cana-638	384	1	[	[	X
cana-638	384	2	15	15	NUM
cana-638	384	3	]	]	X
cana-638	384	4	ali	ali	PROPN
cana-638	384	5	,	,	PUNCT
cana-638	384	6	s.	s.	PROPN
cana-638	384	7	,	,	PUNCT
cana-638	384	8	shaukat	shaukat	PROPN
cana-638	384	9	,	,	PUNCT
cana-638	384	10	z.	z.	PROPN
cana-638	384	11	,	,	PUNCT
cana-638	384	12	azeem	azeem	PROPN
cana-638	384	13	,	,	PUNCT
cana-638	384	14	m.	m.	NOUN
cana-638	384	15	,	,	PUNCT
cana-638	384	16	sakhawat	sakhawat	NOUN
cana-638	384	17	,	,	PUNCT
cana-638	384	18	z.	z.	PROPN
cana-638	384	19	,	,	PUNCT
cana-638	384	20	mahmood	mahmood	PROPN
cana-638	384	21	,	,	PUNCT
cana-638	384	22	t.	t.	PROPN
cana-638	384	23	,	,	PUNCT
cana-638	384	24	&	&	CCONJ
cana-638	384	25	ur	ur	PROPN
cana-638	384	26	rehman	rehman	PROPN
cana-638	384	27	,	,	PUNCT
cana-638	384	28	k.	k.	PROPN
cana-638	384	29	(	(	PUNCT
cana-638	384	30	2019	2019	NUM
cana-638	384	31	)	)	PUNCT
cana-638	384	32	.	.	PUNCT
cana-638	385	1	an	an	DET
cana-638	385	2	efficient	efficient	ADJ
cana-638	385	3	and	and	CCONJ
cana-638	385	4	improved	improved	ADJ
cana-638	385	5	scheme	scheme	NOUN
cana-638	385	6	for	for	ADP
cana-638	385	7	handwritten	handwritten	ADJ
cana-638	385	8	digit	digit	NOUN
cana-638	385	9	recognition	recognition	NOUN
cana-638	385	10	based	base	VERB
cana-638	385	11	on	on	ADP
cana-638	385	12	convolutional	convolutional	ADJ
cana-638	385	13	neural	neural	ADJ
cana-638	385	14	network	network	NOUN
cana-638	385	15	.	.	PUNCT
cana-638	386	1	sn	sn	PROPN
cana-638	386	2	applied	apply	VERB
cana-638	386	3	sciences	science	NOUN
cana-638	386	4	,	,	PUNCT
cana-638	386	5	1	1	NUM
cana-638	386	6	,	,	PUNCT
cana-638	386	7	1	1	NUM
cana-638	386	8	-	-	SYM
cana-638	386	9	9	9	NUM
cana-638	386	10	.	.	PUNCT
cana-638	387	1	[	[	X
cana-638	387	2	16	16	NUM
cana-638	387	3	]	]	X
cana-638	387	4	kalarani	kalarani	PROPN
cana-638	387	5	,	,	PUNCT
cana-638	387	6	p.	p.	PROPN
cana-638	387	7	,	,	PUNCT
cana-638	387	8	&	&	CCONJ
cana-638	387	9	selva	selva	PROPN
cana-638	387	10	brunda	brunda	PROPN
cana-638	387	11	,	,	PUNCT
cana-638	387	12	s.	s.	PROPN
cana-638	387	13	(	(	PUNCT
cana-638	387	14	2019	2019	NUM
cana-638	387	15	)	)	PUNCT
cana-638	387	16	.	.	PUNCT
cana-638	388	1	sentiment	sentiment	NOUN
cana-638	388	2	analysis	analysis	NOUN
cana-638	388	3	by	by	ADP
cana-638	388	4	pos	pos	NOUN
cana-638	388	5	and	and	CCONJ
cana-638	388	6	joint	joint	ADJ
cana-638	388	7	sentiment	sentiment	NOUN
cana-638	388	8	topic	topic	NOUN
cana-638	388	9	features	feature	NOUN
cana-638	388	10	using	use	VERB
cana-638	388	11	svm	svm	PROPN
cana-638	388	12	and	and	CCONJ
cana-638	388	13	ann	ann	PROPN
cana-638	388	14	.	.	PROPN
cana-638	388	15	soft	soft	ADJ
cana-638	388	16	computing	computing	NOUN
cana-638	388	17	,	,	PUNCT
cana-638	388	18	23	23	NUM
cana-638	388	19	,	,	PUNCT
cana-638	388	20	7067	7067	NUM
cana-638	388	21	-	-	SYM
cana-638	388	22	7079	7079	NUM
cana-638	388	23	.	.	PUNCT
cana-638	389	1	[	[	X
cana-638	389	2	17	17	NUM
cana-638	389	3	]	]	X
cana-638	389	4	kalaivani	kalaivani	PROPN
cana-638	389	5	,	,	PUNCT
cana-638	389	6	p.	p.	PROPN
cana-638	389	7	,	,	PUNCT
cana-638	389	8	&	&	CCONJ
cana-638	389	9	shunmuganathan	shunmuganathan	PROPN
cana-638	389	10	,	,	PUNCT
cana-638	389	11	k.	k.	PROPN
cana-638	389	12	l.	l.	PROPN
cana-638	389	13	(	(	PUNCT
cana-638	389	14	2013	2013	NUM
cana-638	389	15	)	)	PUNCT
cana-638	389	16	.	.	PUNCT
cana-638	390	1	sentiment	sentiment	NOUN
cana-638	390	2	classification	classification	NOUN
cana-638	390	3	of	of	ADP
cana-638	390	4	movie	movie	NOUN
cana-638	390	5	reviews	review	NOUN
cana-638	390	6	by	by	ADP
cana-638	390	7	supervised	supervised	ADJ
cana-638	390	8	machine	machine	NOUN
cana-638	390	9	learning	learning	NOUN
cana-638	390	10	approaches	approach	NOUN
cana-638	390	11	.	.	PUNCT
cana-638	391	1	indian	indian	ADJ
cana-638	391	2	journal	journal	PROPN
cana-638	391	3	of	of	ADP
cana-638	391	4	computer	computer	NOUN
cana-638	391	5	science	science	NOUN
cana-638	391	6	and	and	CCONJ
cana-638	391	7	engineering	engineering	NOUN
cana-638	391	8	,	,	PUNCT
cana-638	391	9	4(4	4(4	NUM
cana-638	391	10	)	)	PUNCT
cana-638	391	11	,	,	PUNCT
cana-638	391	12	285	285	NUM
cana-638	391	13	-	-	SYM
cana-638	391	14	292	292	NUM
cana-638	391	15	.	.	PUNCT
cana-638	392	1	[	[	X
cana-638	392	2	18	18	NUM
cana-638	392	3	]	]	X
cana-638	392	4	https://www.kaggle.com/datasets/kazanova/sentiment140	https://www.kaggle.com/datasets/kazanova/sentiment140	ADJ