id	sid	tid	token	lemma	pos
cana-4274	1	1	communications	communication	NOUN
cana-4274	1	2	on	on	ADP
cana-4274	1	3	applied	apply	VERB
cana-4274	1	4	nonlinear	nonlinear	ADJ
cana-4274	1	5	analysis	analysis	NOUN
cana-4274	1	6	issn	issn	NOUN
cana-4274	1	7	:	:	PUNCT
cana-4274	1	8	1074	1074	NUM
cana-4274	1	9	-	-	PUNCT
cana-4274	1	10	133x	133x	NUM
cana-4274	1	11	vol	vol	NOUN
cana-4274	1	12	32	32	NUM
cana-4274	1	13	no	no	NOUN
cana-4274	1	14	.	.	PUNCT
cana-4274	2	1	9s	9s	NUM
cana-4274	2	2	(	(	PUNCT
cana-4274	2	3	2025	2025	NUM
cana-4274	2	4	)	)	PUNCT
cana-4274	2	5	1677	1677	NUM
cana-4274	3	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	3	2	a	a	DET
cana-4274	3	3	unified	unify	VERB
cana-4274	3	4	framework	framework	NOUN
cana-4274	3	5	for	for	ADP
cana-4274	3	6	multimodal	multimodal	ADJ
cana-4274	3	7	emotion	emotion	NOUN
cana-4274	3	8	recognition	recognition	NOUN
cana-4274	3	9	:	:	PUNCT
cana-4274	3	10	leveraging	leverage	VERB
cana-4274	3	11	text	text	NOUN
cana-4274	3	12	,	,	PUNCT
cana-4274	3	13	audio	audio	NOUN
cana-4274	3	14	,	,	PUNCT
cana-4274	3	15	and	and	CCONJ
cana-4274	3	16	visual	visual	ADJ
cana-4274	3	17	data	datum	NOUN
cana-4274	3	18	for	for	ADP
cana-4274	3	19	enhanced	enhanced	ADJ
cana-4274	3	20	emotional	emotional	ADJ
cana-4274	3	21	understanding	understanding	NOUN
cana-4274	3	22	sanjeeva	sanjeeva	PROPN
cana-4274	3	23	rao	rao	PROPN
cana-4274	3	24	sanku1	sanku1	PROPN
cana-4274	3	25	and	and	CCONJ
cana-4274	3	26	b.sandhya2	b.sandhya2	PRON
cana-4274	3	27	1research	1research	NUM
cana-4274	3	28	scholar	scholar	NOUN
cana-4274	3	29	,	,	PUNCT
cana-4274	3	30	cse	cse	PROPN
cana-4274	3	31	department	department	PROPN
cana-4274	3	32	,	,	PUNCT
cana-4274	3	33	university	university	NOUN
cana-4274	3	34	college	college	NOUN
cana-4274	3	35	of	of	ADP
cana-4274	3	36	engineering	engineering	PROPN
cana-4274	3	37	,	,	PUNCT
cana-4274	3	38	osmania	osmania	PROPN
cana-4274	3	39	university	university	PROPN
cana-4274	3	40	,	,	PUNCT
cana-4274	3	41	india	india	PROPN
cana-4274	3	42	e	e	PROPN
cana-4274	3	43	-	-	NOUN
cana-4274	3	44	mail	mail	NOUN
cana-4274	3	45	:	:	PUNCT
cana-4274	3	46	ssanjeevarao@gmail.com	ssanjeevarao@gmail.com	X
cana-4274	4	1	2professor	2professor	NUM
cana-4274	4	2	,	,	PUNCT
cana-4274	4	3	cse	cse	PROPN
cana-4274	4	4	department	department	PROPN
cana-4274	4	5	,	,	PUNCT
cana-4274	4	6	mvsr	mvsr	NOUN
cana-4274	4	7	engineering	engineering	NOUN
cana-4274	4	8	college	college	PROPN
cana-4274	4	9	,	,	PUNCT
cana-4274	4	10	india	india	PROPN
cana-4274	4	11	e	e	PROPN
cana-4274	4	12	-	-	NOUN
cana-4274	4	13	mail	mail	NOUN
cana-4274	4	14	:	:	PUNCT
cana-4274	4	15	sandhya_cse@mvsrec.edu.in	sandhya_cse@mvsrec.edu.in	PROPN
cana-4274	4	16	article	article	NOUN
cana-4274	4	17	history	history	NOUN
cana-4274	4	18	:	:	PUNCT
cana-4274	4	19	received	receive	VERB
cana-4274	4	20	:	:	PUNCT
cana-4274	4	21	12	12	NUM
cana-4274	4	22	-	-	SYM
cana-4274	4	23	01	01	NUM
cana-4274	4	24	-	-	PUNCT
cana-4274	4	25	2025	2025	NUM
cana-4274	4	26	revised	revise	VERB
cana-4274	4	27	:	:	PUNCT
cana-4274	4	28	15	15	NUM
cana-4274	4	29	-	-	NUM
cana-4274	4	30	02	02	NUM
cana-4274	4	31	-	-	PUNCT
cana-4274	4	32	2025	2025	NUM
cana-4274	4	33	accepted	accept	VERB
cana-4274	4	34	:	:	PUNCT
cana-4274	4	35	01	01	NUM
cana-4274	4	36	-	-	SYM
cana-4274	4	37	03	03	NUM
cana-4274	4	38	-	-	PUNCT
cana-4274	4	39	2025	2025	NUM
cana-4274	4	40	abstract	abstract	NOUN
cana-4274	4	41	:	:	PUNCT
cana-4274	4	42	emotion	emotion	NOUN
cana-4274	4	43	recognition	recognition	NOUN
cana-4274	4	44	based	base	VERB
cana-4274	4	45	on	on	ADP
cana-4274	4	46	multimodal	multimodal	ADJ
cana-4274	4	47	data	datum	NOUN
cana-4274	4	48	(	(	PUNCT
cana-4274	4	49	e.g.	e.g.	ADV
cana-4274	4	50	,	,	PUNCT
cana-4274	4	51	video	video	NOUN
cana-4274	4	52	,	,	PUNCT
cana-4274	4	53	audio	audio	NOUN
cana-4274	4	54	,	,	PUNCT
cana-4274	4	55	text	text	NOUN
cana-4274	4	56	,	,	PUNCT
cana-4274	4	57	etc	etc	X
cana-4274	4	58	.	.	X
cana-4274	4	59	)	)	PUNCT
cana-4274	4	60	is	be	AUX
cana-4274	4	61	a	a	DET
cana-4274	4	62	highly	highly	ADV
cana-4274	4	63	demanding	demanding	ADJ
cana-4274	4	64	and	and	CCONJ
cana-4274	4	65	significant	significant	ADJ
cana-4274	4	66	research	research	NOUN
cana-4274	4	67	field	field	NOUN
cana-4274	4	68	with	with	ADP
cana-4274	4	69	numerous	numerous	ADJ
cana-4274	4	70	applications	application	NOUN
cana-4274	4	71	.	.	PUNCT
cana-4274	5	1	this	this	DET
cana-4274	5	2	research	research	NOUN
cana-4274	5	3	rigorously	rigorously	ADV
cana-4274	5	4	explores	explore	VERB
cana-4274	5	5	model	model	NOUN
cana-4274	5	6	level	level	NOUN
cana-4274	5	7	fusion	fusion	NOUN
cana-4274	5	8	to	to	PART
cana-4274	5	9	find	find	VERB
cana-4274	5	10	the	the	DET
cana-4274	5	11	best	good	ADJ
cana-4274	5	12	multifunctional	multifunctional	ADJ
cana-4274	5	13	model	model	NOUN
cana-4274	5	14	combining	combine	VERB
cana-4274	5	15	audio	audio	ADJ
cana-4274	5	16	and	and	CCONJ
cana-4274	5	17	visual	visual	ADJ
cana-4274	5	18	modalities	modality	NOUN
cana-4274	5	19	for	for	ADP
cana-4274	5	20	emotion	emotion	NOUN
cana-4274	5	21	identification	identification	NOUN
cana-4274	5	22	.	.	PUNCT
cana-4274	6	1	specifically	specifically	ADV
cana-4274	6	2	,	,	PUNCT
cana-4274	6	3	it	it	PRON
cana-4274	6	4	proposes	propose	VERB
cana-4274	6	5	novel	novel	ADJ
cana-4274	6	6	feature	feature	NOUN
cana-4274	6	7	extractor	extractor	NOUN
cana-4274	6	8	networks	network	NOUN
cana-4274	6	9	for	for	ADP
cana-4274	6	10	both	both	DET
cana-4274	6	11	audio	audio	ADJ
cana-4274	6	12	and	and	CCONJ
cana-4274	6	13	video	video	NOUN
cana-4274	6	14	data	datum	NOUN
cana-4274	6	15	.	.	PUNCT
cana-4274	7	1	this	this	DET
cana-4274	7	2	research	research	NOUN
cana-4274	7	3	presents	present	VERB
cana-4274	7	4	a	a	DET
cana-4274	7	5	comprehensive	comprehensive	ADJ
cana-4274	7	6	approach	approach	NOUN
cana-4274	7	7	to	to	ADP
cana-4274	7	8	multimodal	multimodal	ADJ
cana-4274	7	9	emotion	emotion	NOUN
cana-4274	7	10	recognition	recognition	NOUN
cana-4274	7	11	,	,	PUNCT
cana-4274	7	12	utilizing	utilize	VERB
cana-4274	7	13	state	state	NOUN
cana-4274	7	14	-	-	PUNCT
cana-4274	7	15	of	of	ADP
cana-4274	7	16	-	-	PUNCT
cana-4274	7	17	the	the	DET
cana-4274	7	18	-	-	PUNCT
cana-4274	7	19	art	art	NOUN
cana-4274	7	20	feature	feature	NOUN
cana-4274	7	21	extraction	extraction	NOUN
cana-4274	7	22	methods	method	NOUN
cana-4274	7	23	tailored	tailor	VERB
cana-4274	7	24	to	to	ADP
cana-4274	7	25	each	each	DET
cana-4274	7	26	modality	modality	NOUN
cana-4274	7	27	.	.	PUNCT
cana-4274	8	1	for	for	ADP
cana-4274	8	2	text	text	NOUN
cana-4274	8	3	data	datum	NOUN
cana-4274	8	4	,	,	PUNCT
cana-4274	8	5	we	we	PRON
cana-4274	8	6	implement	implement	VERB
cana-4274	8	7	the	the	DET
cana-4274	8	8	assimilated	assimilate	VERB
cana-4274	8	9	n	n	CCONJ
cana-4274	8	10	-	-	PUNCT
cana-4274	8	11	gram	gram	NOUN
cana-4274	8	12	approach	approach	NOUN
cana-4274	8	13	(	(	PUNCT
cana-4274	8	14	ana	ana	PROPN
cana-4274	8	15	)	)	PUNCT
cana-4274	8	16	to	to	PART
cana-4274	8	17	effectively	effectively	ADV
cana-4274	8	18	capture	capture	VERB
cana-4274	8	19	contextual	contextual	ADJ
cana-4274	8	20	information	information	NOUN
cana-4274	8	21	.	.	PUNCT
cana-4274	9	1	audio	audio	ADJ
cana-4274	9	2	features	feature	NOUN
cana-4274	9	3	are	be	AUX
cana-4274	9	4	extracted	extract	VERB
cana-4274	9	5	using	use	VERB
cana-4274	9	6	mel	mel	PROPN
cana-4274	9	7	-	-	PUNCT
cana-4274	9	8	frequency	frequency	ADJ
cana-4274	9	9	cepstral	cepstral	ADJ
cana-4274	9	10	coefficients	coefficient	NOUN
cana-4274	9	11	(	(	PUNCT
cana-4274	9	12	mfcc	mfcc	NOUN
cana-4274	9	13	)	)	PUNCT
cana-4274	9	14	,	,	PUNCT
cana-4274	9	15	ideal	ideal	ADJ
cana-4274	9	16	for	for	ADP
cana-4274	9	17	capturing	capture	VERB
cana-4274	9	18	spectral	spectral	ADJ
cana-4274	9	19	characteristics	characteristic	NOUN
cana-4274	9	20	in	in	ADP
cana-4274	9	21	speech	speech	NOUN
cana-4274	9	22	.	.	PUNCT
cana-4274	10	1	visual	visual	ADJ
cana-4274	10	2	features	feature	NOUN
cana-4274	10	3	are	be	AUX
cana-4274	10	4	derived	derive	VERB
cana-4274	10	5	using	use	VERB
cana-4274	10	6	squeezenet	squeezenet	NOUN
cana-4274	10	7	,	,	PUNCT
cana-4274	10	8	a	a	DET
cana-4274	10	9	deep	deep	ADJ
cana-4274	10	10	learning	learning	NOUN
cana-4274	10	11	architecture	architecture	NOUN
cana-4274	10	12	optimized	optimize	VERB
cana-4274	10	13	for	for	ADP
cana-4274	10	14	efficient	efficient	ADJ
cana-4274	10	15	and	and	CCONJ
cana-4274	10	16	informative	informative	ADJ
cana-4274	10	17	visual	visual	ADJ
cana-4274	10	18	data	datum	NOUN
cana-4274	10	19	representation	representation	NOUN
cana-4274	10	20	.	.	PUNCT
cana-4274	11	1	to	to	PART
cana-4274	11	2	integrate	integrate	VERB
cana-4274	11	3	the	the	DET
cana-4274	11	4	extracted	extract	VERB
cana-4274	11	5	features	feature	NOUN
cana-4274	11	6	from	from	ADP
cana-4274	11	7	text	text	NOUN
cana-4274	11	8	,	,	PUNCT
cana-4274	11	9	audio	audio	NOUN
cana-4274	11	10	,	,	PUNCT
cana-4274	11	11	and	and	CCONJ
cana-4274	11	12	visual	visual	ADJ
cana-4274	11	13	modalities	modality	NOUN
cana-4274	11	14	,	,	PUNCT
cana-4274	11	15	propose	propose	VERB
cana-4274	11	16	a	a	DET
cana-4274	11	17	multimodal	multimodal	ADJ
cana-4274	11	18	data	datum	NOUN
cana-4274	11	19	fusion	fusion	NOUN
cana-4274	11	20	strategy	strategy	NOUN
cana-4274	11	21	that	that	PRON
cana-4274	11	22	combines	combine	VERB
cana-4274	11	23	information	information	NOUN
cana-4274	11	24	across	across	ADP
cana-4274	11	25	modalities	modality	NOUN
cana-4274	11	26	,	,	PUNCT
cana-4274	11	27	thereby	thereby	ADV
cana-4274	11	28	enhancing	enhance	VERB
cana-4274	11	29	the	the	DET
cana-4274	11	30	overall	overall	ADJ
cana-4274	11	31	representation	representation	NOUN
cana-4274	11	32	of	of	ADP
cana-4274	11	33	emotional	emotional	ADJ
cana-4274	11	34	cues	cue	NOUN
cana-4274	11	35	.	.	PUNCT
cana-4274	12	1	in	in	ADP
cana-4274	12	2	the	the	DET
cana-4274	12	3	classification	classification	NOUN
cana-4274	12	4	stage	stage	NOUN
cana-4274	12	5	,	,	PUNCT
cana-4274	12	6	employ	employ	VERB
cana-4274	12	7	capsule	capsule	NOUN
cana-4274	12	8	net	net	NOUN
cana-4274	12	9	,	,	PUNCT
cana-4274	12	10	a	a	DET
cana-4274	12	11	novel	novel	ADJ
cana-4274	12	12	neural	neural	ADJ
cana-4274	12	13	network	network	NOUN
cana-4274	12	14	architecture	architecture	NOUN
cana-4274	12	15	adept	adept	ADJ
cana-4274	12	16	at	at	ADP
cana-4274	12	17	capturing	capture	VERB
cana-4274	12	18	hierarchical	hierarchical	ADJ
cana-4274	12	19	relationships	relationship	NOUN
cana-4274	12	20	and	and	CCONJ
cana-4274	12	21	spatial	spatial	ADJ
cana-4274	12	22	hierarchies	hierarchy	NOUN
cana-4274	12	23	within	within	ADP
cana-4274	12	24	data	datum	NOUN
cana-4274	12	25	,	,	PUNCT
cana-4274	12	26	making	make	VERB
cana-4274	12	27	it	it	PRON
cana-4274	12	28	wellsuited	wellsuite	VERB
cana-4274	12	29	for	for	ADP
cana-4274	12	30	handling	handle	VERB
cana-4274	12	31	complex	complex	ADJ
cana-4274	12	32	multimodal	multimodal	ADJ
cana-4274	12	33	data	datum	NOUN
cana-4274	12	34	.	.	PUNCT
cana-4274	13	1	to	to	PART
cana-4274	13	2	further	far	ADV
cana-4274	13	3	optimize	optimize	VERB
cana-4274	13	4	the	the	DET
cana-4274	13	5	performance	performance	NOUN
cana-4274	13	6	of	of	ADP
cana-4274	13	7	the	the	DET
cana-4274	13	8	capsule	capsule	ADJ
cana-4274	13	9	net	net	NOUN
cana-4274	13	10	classifier	classifier	NOUN
cana-4274	13	11	,	,	PUNCT
cana-4274	13	12	utilize	utilize	VERB
cana-4274	13	13	hyper	hyper	ADJ
cana-4274	13	14	parameter	parameter	NOUN
cana-4274	13	15	tuning	tune	VERB
cana-4274	13	16	through	through	ADP
cana-4274	13	17	the	the	DET
cana-4274	13	18	sand	sand	NOUN
cana-4274	13	19	cat	cat	NOUN
cana-4274	13	20	swarm	swarm	NOUN
cana-4274	13	21	optimization	optimization	NOUN
cana-4274	13	22	(	(	PUNCT
cana-4274	13	23	scso	scso	NOUN
cana-4274	13	24	)	)	PUNCT
cana-4274	13	25	algorithm	algorithm	NOUN
cana-4274	13	26	.	.	PUNCT
cana-4274	14	1	scso	scso	PROPN
cana-4274	14	2	,	,	PUNCT
cana-4274	14	3	a	a	DET
cana-4274	14	4	metaheuristic	metaheuristic	ADJ
cana-4274	14	5	optimization	optimization	NOUN
cana-4274	14	6	technique	technique	NOUN
cana-4274	14	7	inspired	inspire	VERB
cana-4274	14	8	by	by	ADP
cana-4274	14	9	the	the	DET
cana-4274	14	10	behavior	behavior	NOUN
cana-4274	14	11	of	of	ADP
cana-4274	14	12	sand	sand	NOUN
cana-4274	14	13	cats	cat	NOUN
cana-4274	14	14	,	,	PUNCT
cana-4274	14	15	iteratively	iteratively	ADV
cana-4274	14	16	updates	update	VERB
cana-4274	14	17	candidate	candidate	NOUN
cana-4274	14	18	solutions	solution	NOUN
cana-4274	14	19	to	to	PART
cana-4274	14	20	converge	converge	VERB
cana-4274	14	21	towards	towards	ADP
cana-4274	14	22	optimal	optimal	ADJ
cana-4274	14	23	hyperparameter	hyperparameter	NOUN
cana-4274	14	24	configurations	configuration	NOUN
cana-4274	14	25	.	.	PUNCT
cana-4274	15	1	using	use	VERB
cana-4274	15	2	the	the	DET
cana-4274	15	3	multimodal	multimodal	NOUN
cana-4274	15	4	emotion	emotion	NOUN
cana-4274	15	5	lines	line	NOUN
cana-4274	15	6	dataset	dataset	VERB
cana-4274	15	7	(	(	PUNCT
cana-4274	15	8	meld	meld	PROPN
cana-4274	15	9	)	)	PUNCT
cana-4274	15	10	,	,	PUNCT
cana-4274	15	11	our	our	PRON
cana-4274	15	12	approach	approach	NOUN
cana-4274	15	13	achieved	achieve	VERB
cana-4274	15	14	an	an	DET
cana-4274	15	15	accuracy	accuracy	NOUN
cana-4274	15	16	of	of	ADP
cana-4274	15	17	98.91	98.91	NUM
cana-4274	15	18	%	%	NOUN
cana-4274	15	19	,	,	PUNCT
cana-4274	15	20	precision	precision	NOUN
cana-4274	15	21	of	of	ADP
cana-4274	15	22	98.83	98.83	NUM
cana-4274	15	23	%	%	NOUN
cana-4274	15	24	,	,	PUNCT
cana-4274	15	25	recall	recall	NOUN
cana-4274	15	26	of	of	ADP
cana-4274	15	27	99.04	99.04	NUM
cana-4274	15	28	%	%	NOUN
cana-4274	15	29	,	,	PUNCT
cana-4274	15	30	and	and	CCONJ
cana-4274	15	31	f	f	X
cana-4274	15	32	-	-	PUNCT
cana-4274	15	33	measure	measure	NOUN
cana-4274	15	34	of	of	ADP
cana-4274	15	35	98.94	98.94	NUM
cana-4274	15	36	.	.	PUNCT
cana-4274	16	1	these	these	DET
cana-4274	16	2	results	result	NOUN
cana-4274	16	3	highlight	highlight	VERB
cana-4274	16	4	the	the	DET
cana-4274	16	5	effectiveness	effectiveness	NOUN
cana-4274	16	6	of	of	ADP
cana-4274	16	7	our	our	PRON
cana-4274	16	8	multimodal	multimodal	NOUN
cana-4274	16	9	framework	framework	NOUN
cana-4274	16	10	in	in	ADP
cana-4274	16	11	emotion	emotion	NOUN
cana-4274	16	12	recognition	recognition	NOUN
cana-4274	16	13	tasks	task	NOUN
cana-4274	16	14	.	.	PUNCT
cana-4274	17	1	keywords	keyword	NOUN
cana-4274	17	2	:	:	PUNCT
cana-4274	17	3	assimilated	assimilate	VERB
cana-4274	17	4	n	n	CCONJ
cana-4274	17	5	-	-	PUNCT
cana-4274	17	6	gram	gram	NOUN
cana-4274	17	7	approach	approach	NOUN
cana-4274	17	8	,	,	PUNCT
cana-4274	17	9	mel	mel	PROPN
cana-4274	17	10	-	-	PUNCT
cana-4274	17	11	frequency	frequency	ADJ
cana-4274	17	12	cepstral	cepstral	ADJ
cana-4274	17	13	coefficients	coefficient	NOUN
cana-4274	17	14	,	,	PUNCT
cana-4274	17	15	squeezenet	squeezenet	NOUN
cana-4274	17	16	,	,	PUNCT
cana-4274	17	17	capsule	capsule	NOUN
cana-4274	17	18	net	net	NOUN
cana-4274	17	19	,	,	PUNCT
cana-4274	17	20	sand	sand	NOUN
cana-4274	17	21	cat	cat	NOUN
cana-4274	17	22	swarm	swarm	NOUN
cana-4274	17	23	optimization	optimization	NOUN
cana-4274	17	24	1	1	NUM
cana-4274	17	25	.	.	PUNCT
cana-4274	17	26	introduction	introduction	NOUN
cana-4274	17	27	any	any	DET
cana-4274	17	28	conscious	conscious	ADJ
cana-4274	17	29	experience	experience	NOUN
cana-4274	17	30	that	that	PRON
cana-4274	17	31	is	be	AUX
cana-4274	17	32	marked	mark	VERB
cana-4274	17	33	by	by	ADP
cana-4274	17	34	heightened	heighten	VERB
cana-4274	17	35	mental	mental	ADJ
cana-4274	17	36	activity	activity	NOUN
cana-4274	17	37	and	and	CCONJ
cana-4274	17	38	a	a	DET
cana-4274	17	39	certain	certain	ADJ
cana-4274	17	40	level	level	NOUN
cana-4274	17	41	of	of	ADP
cana-4274	17	42	pleasure	pleasure	NOUN
cana-4274	17	43	or	or	CCONJ
cana-4274	17	44	pain	pain	NOUN
cana-4274	17	45	is	be	AUX
cana-4274	17	46	considered	consider	VERB
cana-4274	17	47	emotional	emotional	ADJ
cana-4274	17	48	[	[	X
cana-4274	17	49	1	1	NUM
cana-4274	17	50	]	]	PUNCT
cana-4274	17	51	.	.	PUNCT
cana-4274	18	1	emotional	emotional	ADJ
cana-4274	18	2	intelligence	intelligence	NOUN
cana-4274	18	3	enables	enable	VERB
cana-4274	18	4	the	the	DET
cana-4274	18	5	human	human	ADJ
cana-4274	18	6	-	-	PUNCT
cana-4274	18	7	machine	machine	NOUN
cana-4274	18	8	interaction	interaction	NOUN
cana-4274	18	9	communications	communication	NOUN
cana-4274	18	10	on	on	ADP
cana-4274	18	11	applied	apply	VERB
cana-4274	18	12	nonlinear	nonlinear	ADJ
cana-4274	18	13	analysis	analysis	NOUN
cana-4274	18	14	issn	issn	NOUN
cana-4274	18	15	:	:	PUNCT
cana-4274	18	16	1074	1074	NUM
cana-4274	18	17	-	-	PUNCT
cana-4274	18	18	133x	133x	NUM
cana-4274	18	19	vol	vol	NOUN
cana-4274	18	20	32	32	NUM
cana-4274	19	1	no	no	NOUN
cana-4274	19	2	.	.	PUNCT
cana-4274	20	1	9s	9s	NUM
cana-4274	20	2	(	(	PUNCT
cana-4274	20	3	2025	2025	NUM
cana-4274	20	4	)	)	PUNCT
cana-4274	20	5	1678	1678	NUM
cana-4274	20	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	20	7	more	more	ADV
cana-4274	20	8	harmoniously	harmoniously	ADV
cana-4274	21	1	[	[	X
cana-4274	21	2	2	2	NUM
cana-4274	21	3	]	]	PUNCT
cana-4274	21	4	.	.	PUNCT
cana-4274	22	1	a	a	DET
cana-4274	22	2	significant	significant	ADJ
cana-4274	22	3	field	field	NOUN
cana-4274	22	4	of	of	ADP
cana-4274	22	5	study	study	NOUN
cana-4274	22	6	at	at	ADP
cana-4274	22	7	the	the	DET
cana-4274	22	8	nexus	nexus	NOUN
cana-4274	22	9	of	of	ADP
cana-4274	22	10	artificial	artificial	ADJ
cana-4274	22	11	intelligence	intelligence	NOUN
cana-4274	22	12	and	and	CCONJ
cana-4274	22	13	interpersonal	interpersonal	ADJ
cana-4274	22	14	communication	communication	NOUN
cana-4274	22	15	analysis	analysis	NOUN
cana-4274	22	16	is	be	AUX
cana-4274	22	17	recognizing	recognize	VERB
cana-4274	22	18	emotions	emotion	NOUN
cana-4274	22	19	.	.	PUNCT
cana-4274	23	1	it	it	PRON
cana-4274	23	2	is	be	AUX
cana-4274	23	3	really	really	ADV
cana-4274	23	4	useful	useful	ADJ
cana-4274	23	5	for	for	ADP
cana-4274	23	6	robots	robot	NOUN
cana-4274	23	7	[	[	X
cana-4274	23	8	3	3	NUM
cana-4274	23	9	]	]	PUNCT
cana-4274	23	10	.	.	PUNCT
cana-4274	24	1	emotions	emotion	NOUN
cana-4274	24	2	are	be	AUX
cana-4274	24	3	very	very	ADV
cana-4274	24	4	important	important	ADJ
cana-4274	24	5	in	in	ADP
cana-4274	24	6	human	human	ADJ
cana-4274	24	7	decision	decision	NOUN
cana-4274	24	8	handling	handling	NOUN
cana-4274	24	9	,	,	PUNCT
cana-4274	24	10	interaction	interaction	NOUN
cana-4274	24	11	and	and	CCONJ
cana-4274	24	12	cognitive	cognitive	ADJ
cana-4274	24	13	process	process	NOUN
cana-4274	24	14	[	[	X
cana-4274	24	15	4	4	NUM
cana-4274	24	16	]	]	PUNCT
cana-4274	24	17	.	.	PUNCT
cana-4274	25	1	speech	speech	NOUN
cana-4274	25	2	emotion	emotion	NOUN
cana-4274	25	3	recognition	recognition	NOUN
cana-4274	25	4	is	be	AUX
cana-4274	25	5	one	one	NUM
cana-4274	25	6	of	of	ADP
cana-4274	25	7	key	key	ADJ
cana-4274	25	8	components	component	NOUN
cana-4274	25	9	for	for	ADP
cana-4274	25	10	human	human	ADJ
cana-4274	25	11	-	-	PUNCT
cana-4274	25	12	computer	computer	NOUN
cana-4274	25	13	interaction	interaction	NOUN
cana-4274	25	14	systems	system	NOUN
cana-4274	25	15	[	[	X
cana-4274	25	16	5	5	NUM
cana-4274	25	17	]	]	PUNCT
cana-4274	25	18	.	.	PUNCT
cana-4274	26	1	emotions	emotion	NOUN
cana-4274	26	2	are	be	AUX
cana-4274	26	3	present	present	ADJ
cana-4274	26	4	in	in	ADP
cana-4274	26	5	almost	almost	ADV
cana-4274	26	6	every	every	PRON
cana-4274	26	7	decision	decision	NOUN
cana-4274	26	8	and	and	CCONJ
cana-4274	26	9	moment	moment	NOUN
cana-4274	26	10	of	of	ADP
cana-4274	26	11	our	our	PRON
cana-4274	26	12	lives	life	NOUN
cana-4274	26	13	.	.	PUNCT
cana-4274	27	1	thus	thus	ADV
cana-4274	27	2	,	,	PUNCT
cana-4274	27	3	recognizing	recognize	VERB
cana-4274	27	4	emotions	emotion	NOUN
cana-4274	27	5	awakens	awaken	VERB
cana-4274	27	6	interest	interest	NOUN
cana-4274	27	7	,	,	PUNCT
cana-4274	27	8	since	since	SCONJ
cana-4274	27	9	knowing	know	VERB
cana-4274	27	10	what	what	PRON
cana-4274	27	11	others	other	NOUN
cana-4274	27	12	feel	feel	VERB
cana-4274	27	13	lets	let	VERB
cana-4274	27	14	us	we	PRON
cana-4274	27	15	interact	interact	VERB
cana-4274	27	16	with	with	ADP
cana-4274	27	17	them	they	PRON
cana-4274	27	18	more	more	ADV
cana-4274	27	19	effectively	effectively	ADV
cana-4274	28	1	[	[	X
cana-4274	28	2	6	6	NUM
cana-4274	28	3	]	]	PUNCT
cana-4274	28	4	.	.	PUNCT
cana-4274	29	1	modern	modern	ADJ
cana-4274	29	2	detectors	detector	NOUN
cana-4274	29	3	that	that	PRON
cana-4274	29	4	can	can	AUX
cana-4274	29	5	record	record	VERB
cana-4274	29	6	both	both	DET
cana-4274	29	7	audio	audio	ADJ
cana-4274	29	8	and	and	CCONJ
cana-4274	29	9	visual	visual	ADJ
cana-4274	29	10	signals	signal	NOUN
cana-4274	29	11	are	be	AUX
cana-4274	29	12	opening	open	VERB
cana-4274	29	13	the	the	DET
cana-4274	29	14	door	door	NOUN
cana-4274	29	15	for	for	ADP
cana-4274	29	16	a	a	DET
cana-4274	29	17	host	host	NOUN
cana-4274	29	18	of	of	ADP
cana-4274	29	19	cutting	cut	VERB
cana-4274	29	20	-	-	PUNCT
cana-4274	29	21	edge	edge	NOUN
cana-4274	29	22	innovations	innovation	NOUN
cana-4274	29	23	that	that	PRON
cana-4274	29	24	will	will	AUX
cana-4274	29	25	enable	enable	VERB
cana-4274	29	26	discreet	discreet	ADJ
cana-4274	29	27	,	,	PUNCT
cana-4274	29	28	contact	contact	NOUN
cana-4274	29	29	-	-	PUNCT
cana-4274	29	30	free	free	ADJ
cana-4274	29	31	monitoring	monitoring	NOUN
cana-4274	29	32	and	and	CCONJ
cana-4274	29	33	diagnostics	diagnostic	NOUN
cana-4274	29	34	[	[	X
cana-4274	29	35	7	7	NUM
cana-4274	29	36	]	]	PUNCT
cana-4274	29	37	.	.	PUNCT
cana-4274	30	1	deep	deep	ADJ
cana-4274	30	2	learning	learning	NOUN
cana-4274	30	3	methods	method	NOUN
cana-4274	30	4	have	have	AUX
cana-4274	30	5	recently	recently	ADV
cana-4274	30	6	shown	show	VERB
cana-4274	30	7	effective	effective	ADJ
cana-4274	30	8	in	in	ADP
cana-4274	30	9	solving	solve	VERB
cana-4274	30	10	issues	issue	NOUN
cana-4274	30	11	in	in	ADP
cana-4274	30	12	a	a	DET
cana-4274	30	13	number	number	NOUN
cana-4274	30	14	of	of	ADP
cana-4274	30	15	domains	domain	NOUN
cana-4274	30	16	,	,	PUNCT
cana-4274	30	17	including	include	VERB
cana-4274	30	18	text	text	NOUN
cana-4274	30	19	-	-	PUNCT
cana-4274	30	20	to	to	ADP
cana-4274	30	21	-	-	PUNCT
cana-4274	30	22	speech	speech	NOUN
cana-4274	30	23	creation	creation	NOUN
cana-4274	30	24	,	,	PUNCT
cana-4274	30	25	picture	picture	NOUN
cana-4274	30	26	categorization	categorization	NOUN
cana-4274	30	27	,	,	PUNCT
cana-4274	30	28	translation	translation	NOUN
cana-4274	30	29	by	by	ADP
cana-4274	30	30	machine	machine	NOUN
cana-4274	30	31	,	,	PUNCT
cana-4274	30	32	and	and	CCONJ
cana-4274	30	33	speech	speech	NOUN
cana-4274	30	34	recognition	recognition	NOUN
cana-4274	30	35	[	[	X
cana-4274	30	36	8	8	NUM
cana-4274	30	37	]	]	PUNCT
cana-4274	30	38	.	.	PUNCT
cana-4274	31	1	humans	human	NOUN
cana-4274	31	2	may	may	AUX
cana-4274	31	3	exhibit	exhibit	VERB
cana-4274	31	4	emotion	emotion	NOUN
cana-4274	31	5	using	use	VERB
cana-4274	31	6	a	a	DET
cana-4274	31	7	variety	variety	NOUN
cana-4274	31	8	of	of	ADP
cana-4274	31	9	modalities	modality	NOUN
cana-4274	31	10	,	,	PUNCT
cana-4274	31	11	including	include	VERB
cana-4274	31	12	speech	speech	NOUN
cana-4274	31	13	,	,	PUNCT
cana-4274	31	14	body	body	NOUN
cana-4274	31	15	language	language	NOUN
cana-4274	31	16	,	,	PUNCT
cana-4274	31	17	and	and	CCONJ
cana-4274	31	18	facial	facial	ADJ
cana-4274	31	19	expressions	expression	NOUN
cana-4274	31	20	.	.	PUNCT
cana-4274	32	1	as	as	ADP
cana-4274	32	2	a	a	DET
cana-4274	32	3	consequence	consequence	NOUN
cana-4274	32	4	,	,	PUNCT
cana-4274	32	5	using	use	VERB
cana-4274	32	6	many	many	ADJ
cana-4274	32	7	modalities	modality	NOUN
cana-4274	32	8	can	can	AUX
cana-4274	32	9	help	help	VERB
cana-4274	32	10	recognize	recognize	VERB
cana-4274	32	11	emotion	emotion	NOUN
cana-4274	32	12	more	more	ADV
cana-4274	32	13	correctly	correctly	ADV
cana-4274	32	14	than	than	ADP
cana-4274	32	15	unimodal	unimodal	ADJ
cana-4274	32	16	methods	method	NOUN
cana-4274	32	17	[	[	X
cana-4274	32	18	9	9	NUM
cana-4274	32	19	]	]	PUNCT
cana-4274	32	20	.	.	PUNCT
cana-4274	33	1	the	the	DET
cana-4274	33	2	need	need	NOUN
cana-4274	33	3	to	to	PART
cana-4274	33	4	develop	develop	VERB
cana-4274	33	5	automated	automate	VERB
cana-4274	33	6	emotion	emotion	NOUN
cana-4274	33	7	identification	identification	NOUN
cana-4274	33	8	systems	system	NOUN
cana-4274	33	9	is	be	AUX
cana-4274	33	10	rising	rise	VERB
cana-4274	33	11	in	in	ADP
cana-4274	33	12	tandem	tandem	NOUN
cana-4274	33	13	with	with	ADP
cana-4274	33	14	the	the	DET
cana-4274	33	15	development	development	NOUN
cana-4274	33	16	of	of	ADP
cana-4274	33	17	technology	technology	NOUN
cana-4274	33	18	and	and	CCONJ
cana-4274	33	19	our	our	PRON
cana-4274	33	20	expanding	expand	VERB
cana-4274	33	21	knowledge	knowledge	NOUN
cana-4274	33	22	of	of	ADP
cana-4274	33	23	emotions	emotion	NOUN
cana-4274	33	24	.	.	PUNCT
cana-4274	34	1	speech	speech	NOUN
cana-4274	34	2	has	have	AUX
cana-4274	34	3	been	be	AUX
cana-4274	34	4	used	use	VERB
cana-4274	34	5	in	in	ADP
cana-4274	34	6	several	several	ADJ
cana-4274	34	7	studies	study	NOUN
cana-4274	34	8	on	on	ADP
cana-4274	34	9	emotion	emotion	NOUN
cana-4274	34	10	identification	identification	NOUN
cana-4274	34	11	[	[	X
cana-4274	34	12	10	10	NUM
cana-4274	34	13	]	]	PUNCT
cana-4274	34	14	.	.	PUNCT
cana-4274	35	1	the	the	DET
cana-4274	35	2	restricted	restrict	VERB
cana-4274	35	3	amount	amount	NOUN
cana-4274	35	4	of	of	ADP
cana-4274	35	5	emotion	emotion	NOUN
cana-4274	35	6	information	information	NOUN
cana-4274	35	7	that	that	PRON
cana-4274	35	8	may	may	AUX
cana-4274	35	9	be	be	AUX
cana-4274	35	10	found	find	VERB
cana-4274	35	11	in	in	ADP
cana-4274	35	12	a	a	DET
cana-4274	35	13	single	single	ADJ
cana-4274	35	14	mode	mode	NOUN
cana-4274	35	15	represents	represent	VERB
cana-4274	35	16	a	a	DET
cana-4274	35	17	few	few	ADJ
cana-4274	35	18	of	of	ADP
cana-4274	35	19	the	the	DET
cana-4274	35	20	difficulties	difficulty	NOUN
cana-4274	35	21	in	in	ADP
cana-4274	35	22	recognizing	recognize	VERB
cana-4274	35	23	emotions	emotion	NOUN
cana-4274	35	24	.	.	PUNCT
cana-4274	36	1	it	it	PRON
cana-4274	36	2	is	be	AUX
cana-4274	36	3	challenging	challenge	VERB
cana-4274	36	4	to	to	PART
cana-4274	36	5	fulfill	fulfill	VERB
cana-4274	36	6	the	the	DET
cana-4274	36	7	requirements	requirement	NOUN
cana-4274	36	8	of	of	ADP
cana-4274	36	9	the	the	DET
cana-4274	36	10	existing	exist	VERB
cana-4274	36	11	emotional	emotional	ADJ
cana-4274	36	12	identification	identification	NOUN
cana-4274	36	13	system	system	NOUN
cana-4274	36	14	to	to	PART
cana-4274	36	15	obtain	obtain	VERB
cana-4274	36	16	the	the	DET
cana-4274	36	17	correct	correct	ADJ
cana-4274	36	18	emotional	emotional	ADJ
cana-4274	36	19	state	state	NOUN
cana-4274	36	20	simply	simply	ADV
cana-4274	36	21	from	from	ADP
cana-4274	36	22	a	a	DET
cana-4274	36	23	single	single	ADJ
cana-4274	36	24	modalities	modality	NOUN
cana-4274	36	25	because	because	SCONJ
cana-4274	36	26	to	to	ADP
cana-4274	36	27	the	the	DET
cana-4274	36	28	proliferation	proliferation	NOUN
cana-4274	36	29	in	in	ADP
cana-4274	36	30	audio	audio	ADJ
cana-4274	36	31	information	information	NOUN
cana-4274	36	32	on	on	ADP
cana-4274	36	33	social	social	ADJ
cana-4274	36	34	media	medium	NOUN
cana-4274	36	35	[	[	X
cana-4274	36	36	11	11	NUM
cana-4274	36	37	]	]	PUNCT
cana-4274	36	38	.	.	PUNCT
cana-4274	37	1	the	the	DET
cana-4274	37	2	process	process	NOUN
cana-4274	37	3	of	of	ADP
cana-4274	37	4	multimodal	multimodal	NOUN
cana-4274	37	5	emotion	emotion	NOUN
cana-4274	37	6	recognition	recognition	NOUN
cana-4274	37	7	involves	involve	VERB
cana-4274	37	8	combining	combine	VERB
cana-4274	37	9	complementing	complement	VERB
cana-4274	37	10	data	datum	NOUN
cana-4274	37	11	from	from	ADP
cana-4274	37	12	many	many	ADJ
cana-4274	37	13	modalities	modality	NOUN
cana-4274	37	14	at	at	ADP
cana-4274	37	15	varying	vary	VERB
cana-4274	37	16	degrees	degree	NOUN
cana-4274	37	17	of	of	ADP
cana-4274	37	18	fusion	fusion	NOUN
cana-4274	37	19	.	.	PUNCT
cana-4274	38	1	these	these	DET
cana-4274	38	2	stages	stage	NOUN
cana-4274	38	3	fall	fall	VERB
cana-4274	38	4	into	into	ADP
cana-4274	38	5	two	two	NUM
cana-4274	38	6	groups	group	NOUN
cana-4274	38	7	:	:	PUNCT
cana-4274	38	8	those	those	PRON
cana-4274	38	9	that	that	PRON
cana-4274	38	10	occur	occur	VERB
cana-4274	38	11	before	before	ADP
cana-4274	38	12	finding	find	VERB
cana-4274	38	13	and	and	CCONJ
cana-4274	38	14	those	those	PRON
cana-4274	38	15	that	that	PRON
cana-4274	38	16	occur	occur	VERB
cana-4274	38	17	after	after	ADP
cana-4274	38	18	matching	match	VERB
cana-4274	38	19	fusion	fusion	NOUN
cana-4274	38	20	[	[	X
cana-4274	38	21	12	12	NUM
cana-4274	38	22	]	]	PUNCT
cana-4274	38	23	.	.	PUNCT
cana-4274	39	1	identifying	identify	VERB
cana-4274	39	2	characteristics	characteristic	NOUN
cana-4274	39	3	that	that	PRON
cana-4274	39	4	may	may	AUX
cana-4274	39	5	identify	identify	VERB
cana-4274	39	6	emotional	emotional	ADJ
cana-4274	39	7	signals	signal	NOUN
cana-4274	39	8	in	in	ADP
cana-4274	39	9	the	the	DET
cana-4274	39	10	data	data	NOUN
cana-4274	39	11	is	be	AUX
cana-4274	39	12	one	one	NUM
cana-4274	39	13	of	of	ADP
cana-4274	39	14	the	the	DET
cana-4274	39	15	most	most	ADV
cana-4274	39	16	important	important	ADJ
cana-4274	39	17	problems	problem	NOUN
cana-4274	39	18	in	in	ADP
cana-4274	39	19	emotion	emotion	NOUN
cana-4274	39	20	identification	identification	NOUN
cana-4274	39	21	.	.	PUNCT
cana-4274	40	1	the	the	DET
cana-4274	40	2	elements	element	NOUN
cana-4274	40	3	that	that	PRON
cana-4274	40	4	are	be	AUX
cana-4274	40	5	most	most	ADV
cana-4274	40	6	effective	effective	ADJ
cana-4274	40	7	in	in	ADP
cana-4274	40	8	differentiating	differentiate	VERB
cana-4274	40	9	between	between	ADP
cana-4274	40	10	emotions	emotion	NOUN
cana-4274	40	11	are	be	AUX
cana-4274	40	12	not	not	PART
cana-4274	40	13	universally	universally	ADV
cana-4274	40	14	agreed	agree	VERB
cana-4274	40	15	upon	upon	SCONJ
cana-4274	40	16	,	,	PUNCT
cana-4274	40	17	and	and	CCONJ
cana-4274	40	18	the	the	DET
cana-4274	40	19	difficulty	difficulty	NOUN
cana-4274	40	20	of	of	ADP
cana-4274	40	21	recognizing	recognize	VERB
cana-4274	40	22	emotions	emotion	NOUN
cana-4274	40	23	in	in	ADP
cana-4274	40	24	speech	speech	NOUN
cana-4274	40	25	is	be	AUX
cana-4274	40	26	compounded	compound	VERB
cana-4274	40	27	by	by	ADP
cana-4274	40	28	the	the	DET
cana-4274	40	29	acoustic	acoustic	ADJ
cana-4274	40	30	heterogeneity	heterogeneity	NOUN
cana-4274	40	31	caused	cause	VERB
cana-4274	40	32	by	by	ADP
cana-4274	40	33	speakers	speaker	NOUN
cana-4274	40	34	,	,	PUNCT
cana-4274	40	35	speaking	speak	VERB
cana-4274	40	36	speeds	speed	NOUN
cana-4274	40	37	,	,	PUNCT
cana-4274	40	38	and	and	CCONJ
cana-4274	40	39	speaking	speak	VERB
cana-4274	40	40	patterns	pattern	NOUN
cana-4274	41	1	[	[	X
cana-4274	41	2	13	13	NUM
cana-4274	41	3	]	]	PUNCT
cana-4274	41	4	.	.	PUNCT
cana-4274	42	1	solitary	solitary	ADJ
cana-4274	42	2	(	(	PUNCT
cana-4274	42	3	categorical	categorical	ADJ
cana-4274	42	4	)	)	PUNCT
cana-4274	42	5	and	and	CCONJ
cana-4274	42	6	continuous	continuous	ADJ
cana-4274	42	7	(	(	PUNCT
cana-4274	42	8	dimensional	dimensional	ADJ
cana-4274	42	9	)	)	PUNCT
cana-4274	42	10	emotion	emotion	NOUN
cana-4274	42	11	recognition	recognition	NOUN
cana-4274	42	12	tasks	task	NOUN
cana-4274	42	13	are	be	AUX
cana-4274	42	14	the	the	DET
cana-4274	42	15	two	two	NUM
cana-4274	42	16	broad	broad	ADJ
cana-4274	42	17	categories	category	NOUN
cana-4274	42	18	into	into	ADP
cana-4274	42	19	which	which	PRON
cana-4274	42	20	emotion	emotion	NOUN
cana-4274	42	21	recognition	recognition	NOUN
cana-4274	42	22	tasks	task	NOUN
cana-4274	42	23	fall	fall	VERB
cana-4274	42	24	.	.	PUNCT
cana-4274	43	1	although	although	SCONJ
cana-4274	43	2	continuous	continuous	ADJ
cana-4274	43	3	recognition	recognition	NOUN
cana-4274	43	4	of	of	ADP
cana-4274	43	5	emotions	emotion	NOUN
cana-4274	43	6	treats	treat	VERB
cana-4274	43	7	emotional	emotional	ADJ
cana-4274	43	8	state	state	NOUN
cana-4274	43	9	as	as	ADP
cana-4274	43	10	transportation	transportation	NOUN
cana-4274	43	11	in	in	ADP
cana-4274	43	12	a	a	DET
cana-4274	43	13	constant	constant	ADJ
cana-4274	43	14	space	space	NOUN
cana-4274	43	15	,	,	PUNCT
cana-4274	43	16	which	which	PRON
cana-4274	43	17	is	be	AUX
cana-4274	43	18	usually	usually	ADV
cana-4274	43	19	characterized	characterize	VERB
cana-4274	43	20	by	by	ADP
cana-4274	43	21	multiple	multiple	ADJ
cana-4274	43	22	dimensions	dimension	NOUN
cana-4274	43	23	such	such	ADJ
cana-4274	43	24	as	as	ADP
cana-4274	43	25	arousal	arousal	NOUN
cana-4274	43	26	,	,	PUNCT
cana-4274	43	27	valence	valence	NOUN
cana-4274	43	28	,	,	PUNCT
cana-4274	43	29	and	and	CCONJ
cana-4274	43	30	dominance	dominance	NOUN
cana-4274	43	31	,	,	PUNCT
cana-4274	43	32	separate	separate	ADJ
cana-4274	43	33	emotion	emotion	NOUN
cana-4274	43	34	recognition	recognition	NOUN
cana-4274	43	35	typically	typically	ADV
cana-4274	43	36	divides	divide	VERB
cana-4274	43	37	the	the	DET
cana-4274	43	38	emotion	emotion	NOUN
cana-4274	43	39	space	space	NOUN
cana-4274	43	40	into	into	ADP
cana-4274	43	41	several	several	ADJ
cana-4274	43	42	basic	basic	ADJ
cana-4274	43	43	emotion	emotion	NOUN
cana-4274	43	44	lessons	lesson	NOUN
cana-4274	43	45	such	such	ADJ
cana-4274	43	46	as	as	ADP
cana-4274	43	47	happiness	happiness	NOUN
cana-4274	43	48	,	,	PUNCT
cana-4274	43	49	sadness	sadness	NOUN
cana-4274	43	50	,	,	PUNCT
cana-4274	43	51	anger	anger	NOUN
cana-4274	43	52	,	,	PUNCT
cana-4274	43	53	and	and	CCONJ
cana-4274	43	54	neutral	neutral	ADJ
cana-4274	43	55	,	,	PUNCT
cana-4274	43	56	etc	etc	X
cana-4274	43	57	[	[	X
cana-4274	43	58	14	14	NUM
cana-4274	43	59	]	]	PUNCT
cana-4274	43	60	.	.	PUNCT
cana-4274	44	1	problem	problem	NOUN
cana-4274	44	2	statement	statement	NOUN
cana-4274	44	3	and	and	CCONJ
cana-4274	44	4	contributions	contribution	NOUN
cana-4274	44	5	emotion	emotion	NOUN
cana-4274	44	6	recognition	recognition	NOUN
cana-4274	44	7	is	be	AUX
cana-4274	44	8	pivotal	pivotal	ADJ
cana-4274	44	9	in	in	ADP
cana-4274	44	10	various	various	ADJ
cana-4274	44	11	fields	field	NOUN
cana-4274	44	12	,	,	PUNCT
cana-4274	44	13	from	from	ADP
cana-4274	44	14	human	human	ADJ
cana-4274	44	15	-	-	PUNCT
cana-4274	44	16	computer	computer	NOUN
cana-4274	44	17	interaction	interaction	NOUN
cana-4274	44	18	to	to	ADP
cana-4274	44	19	mental	mental	ADJ
cana-4274	44	20	health	health	NOUN
cana-4274	44	21	assessment	assessment	NOUN
cana-4274	44	22	,	,	PUNCT
cana-4274	44	23	yet	yet	CCONJ
cana-4274	44	24	conventional	conventional	ADJ
cana-4274	44	25	approaches	approach	NOUN
cana-4274	44	26	often	often	ADV
cana-4274	44	27	fall	fall	VERB
cana-4274	44	28	short	short	ADJ
cana-4274	44	29	in	in	ADP
cana-4274	44	30	capturing	capture	VERB
cana-4274	44	31	the	the	DET
cana-4274	44	32	intricate	intricate	ADJ
cana-4274	44	33	nuances	nuance	NOUN
cana-4274	44	34	of	of	ADP
cana-4274	44	35	human	human	ADJ
cana-4274	44	36	emotions	emotion	NOUN
cana-4274	44	37	.	.	PUNCT
cana-4274	45	1	this	this	DET
cana-4274	45	2	study	study	NOUN
cana-4274	45	3	tackles	tackle	VERB
cana-4274	45	4	the	the	DET
cana-4274	45	5	challenge	challenge	NOUN
cana-4274	45	6	through	through	ADP
cana-4274	45	7	a	a	DET
cana-4274	45	8	multimodal	multimodal	ADJ
cana-4274	45	9	approach	approach	NOUN
cana-4274	45	10	,	,	PUNCT
cana-4274	45	11	leveraging	leverage	VERB
cana-4274	45	12	audio	audio	NOUN
cana-4274	45	13	,	,	PUNCT
cana-4274	45	14	video	video	NOUN
cana-4274	45	15	,	,	PUNCT
cana-4274	45	16	and	and	CCONJ
cana-4274	45	17	text	text	NOUN
cana-4274	45	18	data	datum	NOUN
cana-4274	45	19	from	from	ADP
cana-4274	45	20	the	the	DET
cana-4274	45	21	iemocap	iemocap	ADJ
cana-4274	45	22	dataset	dataset	NOUN
cana-4274	45	23	.	.	PUNCT
cana-4274	46	1	the	the	DET
cana-4274	46	2	primary	primary	ADJ
cana-4274	46	3	objective	objective	NOUN
cana-4274	46	4	is	be	AUX
cana-4274	46	5	to	to	PART
cana-4274	46	6	develop	develop	VERB
cana-4274	46	7	a	a	DET
cana-4274	46	8	robust	robust	ADJ
cana-4274	46	9	framework	framework	NOUN
cana-4274	46	10	capable	capable	ADJ
cana-4274	46	11	of	of	ADP
cana-4274	46	12	integrating	integrate	VERB
cana-4274	46	13	information	information	NOUN
cana-4274	46	14	across	across	ADP
cana-4274	46	15	modalities	modality	NOUN
cana-4274	46	16	to	to	PART
cana-4274	46	17	predict	predict	VERB
cana-4274	46	18	emotions	emotion	NOUN
cana-4274	46	19	like	like	ADP
cana-4274	46	20	sadness	sadness	NOUN
cana-4274	46	21	,	,	PUNCT
cana-4274	46	22	happiness	happiness	NOUN
cana-4274	46	23	,	,	PUNCT
cana-4274	46	24	and	and	CCONJ
cana-4274	46	25	surprise	surprise	VERB
cana-4274	46	26	accurately	accurately	ADV
cana-4274	46	27	.	.	PUNCT
cana-4274	47	1	central	central	ADJ
cana-4274	47	2	to	to	ADP
cana-4274	47	3	this	this	DET
cana-4274	47	4	endeavor	endeavor	NOUN
cana-4274	47	5	is	be	AUX
cana-4274	47	6	the	the	DET
cana-4274	47	7	design	design	NOUN
cana-4274	47	8	of	of	ADP
cana-4274	47	9	a	a	DET
cana-4274	47	10	fusion	fusion	NOUN
cana-4274	47	11	strategy	strategy	NOUN
cana-4274	47	12	that	that	PRON
cana-4274	47	13	effectively	effectively	ADV
cana-4274	47	14	combines	combine	VERB
cana-4274	47	15	features	feature	NOUN
cana-4274	47	16	extracted	extract	VERB
cana-4274	47	17	from	from	ADP
cana-4274	47	18	diverse	diverse	ADJ
cana-4274	47	19	modalities	modality	NOUN
cana-4274	47	20	.	.	PUNCT
cana-4274	48	1	through	through	ADP
cana-4274	48	2	the	the	DET
cana-4274	48	3	fusion	fusion	NOUN
cana-4274	48	4	of	of	ADP
cana-4274	48	5	audio	audio	NOUN
cana-4274	48	6	,	,	PUNCT
cana-4274	48	7	video	video	NOUN
cana-4274	48	8	,	,	PUNCT
cana-4274	48	9	and	and	CCONJ
cana-4274	48	10	text	text	NOUN
cana-4274	48	11	data	datum	NOUN
cana-4274	48	12	,	,	PUNCT
cana-4274	48	13	machine	machine	NOUN
cana-4274	48	14	learning	learning	NOUN
cana-4274	48	15	models	model	NOUN
cana-4274	48	16	are	be	AUX
cana-4274	48	17	trained	train	VERB
cana-4274	48	18	and	and	CCONJ
cana-4274	48	19	evaluated	evaluate	VERB
cana-4274	48	20	to	to	PART
cana-4274	48	21	discern	discern	VERB
cana-4274	48	22	emotional	emotional	ADJ
cana-4274	48	23	states	state	NOUN
cana-4274	48	24	with	with	ADP
cana-4274	48	25	high	high	ADJ
cana-4274	48	26	precision	precision	NOUN
cana-4274	48	27	.	.	PUNCT
cana-4274	49	1	by	by	ADP
cana-4274	49	2	assessing	assess	VERB
cana-4274	49	3	the	the	DET
cana-4274	49	4	performance	performance	NOUN
cana-4274	49	5	metrics	metric	NOUN
cana-4274	49	6	such	such	ADJ
cana-4274	49	7	as	as	ADP
cana-4274	49	8	accuracy	accuracy	NOUN
cana-4274	49	9	,	,	PUNCT
cana-4274	49	10	precision	precision	NOUN
cana-4274	49	11	,	,	PUNCT
cana-4274	49	12	recall	recall	NOUN
cana-4274	49	13	,	,	PUNCT
cana-4274	49	14	and	and	CCONJ
cana-4274	49	15	f1	f1	NOUN
cana-4274	49	16	-	-	PUNCT
cana-4274	49	17	score	score	NOUN
cana-4274	49	18	,	,	PUNCT
cana-4274	49	19	this	this	DET
cana-4274	49	20	study	study	NOUN
cana-4274	49	21	seeks	seek	VERB
cana-4274	49	22	to	to	PART
cana-4274	49	23	provide	provide	VERB
cana-4274	49	24	communications	communication	NOUN
cana-4274	49	25	on	on	ADP
cana-4274	49	26	applied	apply	VERB
cana-4274	49	27	nonlinear	nonlinear	ADJ
cana-4274	49	28	analysis	analysis	NOUN
cana-4274	49	29	issn	issn	NOUN
cana-4274	49	30	:	:	PUNCT
cana-4274	49	31	1074	1074	NUM
cana-4274	49	32	-	-	PUNCT
cana-4274	49	33	133x	133x	NUM
cana-4274	49	34	vol	vol	NOUN
cana-4274	49	35	32	32	NUM
cana-4274	49	36	no	no	NOUN
cana-4274	49	37	.	.	PUNCT
cana-4274	50	1	9s	9s	NUM
cana-4274	50	2	(	(	PUNCT
cana-4274	50	3	2025	2025	NUM
cana-4274	50	4	)	)	PUNCT
cana-4274	50	5	1679	1679	NUM
cana-4274	51	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	51	2	insights	insight	NOUN
cana-4274	51	3	into	into	ADP
cana-4274	51	4	the	the	DET
cana-4274	51	5	efficacy	efficacy	NOUN
cana-4274	51	6	of	of	ADP
cana-4274	51	7	the	the	DET
cana-4274	51	8	proposed	propose	VERB
cana-4274	51	9	framework	framework	NOUN
cana-4274	51	10	in	in	ADP
cana-4274	51	11	enhancing	enhance	VERB
cana-4274	51	12	emotion	emotion	NOUN
cana-4274	51	13	recognition	recognition	NOUN
cana-4274	51	14	capabilities	capability	NOUN
cana-4274	51	15	.	.	PUNCT
cana-4274	52	1	ultimately	ultimately	ADV
cana-4274	52	2	,	,	PUNCT
cana-4274	52	3	the	the	DET
cana-4274	52	4	research	research	NOUN
cana-4274	52	5	aims	aim	VERB
cana-4274	52	6	to	to	PART
cana-4274	52	7	contribute	contribute	VERB
cana-4274	52	8	to	to	ADP
cana-4274	52	9	advancements	advancement	NOUN
cana-4274	52	10	in	in	ADP
cana-4274	52	11	multimodal	multimodal	ADJ
cana-4274	52	12	emotion	emotion	NOUN
cana-4274	52	13	recognition	recognition	NOUN
cana-4274	52	14	technology	technology	NOUN
cana-4274	52	15	,	,	PUNCT
cana-4274	52	16	fostering	foster	VERB
cana-4274	52	17	more	more	ADV
cana-4274	52	18	nuanced	nuanced	ADJ
cana-4274	52	19	understanding	understanding	NOUN
cana-4274	52	20	and	and	CCONJ
cana-4274	52	21	applications	application	NOUN
cana-4274	52	22	in	in	ADP
cana-4274	52	23	diverse	diverse	ADJ
cana-4274	52	24	domains	domain	NOUN
cana-4274	52	25	.	.	PUNCT
cana-4274	53	1	•	•	NOUN
cana-4274	53	2	for	for	ADP
cana-4274	53	3	text	text	NOUN
cana-4274	53	4	data	datum	NOUN
cana-4274	53	5	,	,	PUNCT
cana-4274	53	6	we	we	PRON
cana-4274	53	7	implement	implement	VERB
cana-4274	53	8	stemming	stemming	NOUN
cana-4274	53	9	,	,	PUNCT
cana-4274	53	10	tokenization	tokenization	NOUN
cana-4274	53	11	,	,	PUNCT
cana-4274	53	12	removal	removal	NOUN
cana-4274	53	13	of	of	ADP
cana-4274	53	14	stop	stop	NOUN
cana-4274	53	15	words	word	NOUN
cana-4274	53	16	,	,	PUNCT
cana-4274	53	17	segmentation	segmentation	NOUN
cana-4274	53	18	,	,	PUNCT
cana-4274	53	19	case	case	NOUN
cana-4274	53	20	folding	folding	NOUN
cana-4274	53	21	,	,	PUNCT
cana-4274	53	22	handling	handle	VERB
cana-4274	53	23	null	null	ADJ
cana-4274	53	24	value	value	NOUN
cana-4274	53	25	,	,	PUNCT
cana-4274	53	26	and	and	CCONJ
cana-4274	53	27	special	special	ADJ
cana-4274	53	28	character	character	NOUN
cana-4274	53	29	removal	removal	NOUN
cana-4274	53	30	.	.	PUNCT
cana-4274	54	1	audio	audio	ADJ
cana-4274	54	2	preprocessing	preprocessing	NOUN
cana-4274	54	3	involves	involve	VERB
cana-4274	54	4	sampling	sample	VERB
cana-4274	54	5	rate	rate	NOUN
cana-4274	54	6	standardization	standardization	NOUN
cana-4274	54	7	and	and	CCONJ
cana-4274	54	8	noise	noise	NOUN
cana-4274	54	9	reduction	reduction	NOUN
cana-4274	54	10	techniques	technique	NOUN
cana-4274	54	11	,	,	PUNCT
cana-4274	54	12	while	while	SCONJ
cana-4274	54	13	visual	visual	ADJ
cana-4274	54	14	data	datum	NOUN
cana-4274	54	15	undergoes	undergo	VERB
cana-4274	54	16	preprocessing	preprocesse	VERB
cana-4274	54	17	with	with	ADP
cana-4274	54	18	gabor	gabor	PROPN
cana-4274	54	19	filters	filter	NOUN
cana-4274	54	20	and	and	CCONJ
cana-4274	54	21	a	a	DET
cana-4274	54	22	key	key	ADJ
cana-4274	54	23	frame	frame	NOUN
cana-4274	54	24	selection	selection	NOUN
cana-4274	54	25	scheme	scheme	NOUN
cana-4274	54	26	.	.	PUNCT
cana-4274	55	1	this	this	DET
cana-4274	55	2	meticulous	meticulous	ADJ
cana-4274	55	3	preprocessing	preprocessing	NOUN
cana-4274	55	4	ensures	ensure	NOUN
cana-4274	55	5	that	that	SCONJ
cana-4274	55	6	input	input	NOUN
cana-4274	55	7	data	datum	NOUN
cana-4274	55	8	is	be	AUX
cana-4274	55	9	clean	clean	ADJ
cana-4274	55	10	,	,	PUNCT
cana-4274	55	11	standardized	standardized	ADJ
cana-4274	55	12	,	,	PUNCT
cana-4274	55	13	and	and	CCONJ
cana-4274	55	14	ready	ready	ADJ
cana-4274	55	15	for	for	ADP
cana-4274	55	16	feature	feature	NOUN
cana-4274	55	17	extraction	extraction	NOUN
cana-4274	55	18	.	.	PUNCT
cana-4274	56	1	•	•	NOUN
cana-4274	56	2	we	we	PRON
cana-4274	56	3	employ	employ	VERB
cana-4274	56	4	state	state	NOUN
cana-4274	56	5	-	-	PUNCT
cana-4274	56	6	of	of	ADP
cana-4274	56	7	-	-	PUNCT
cana-4274	56	8	the	the	DET
cana-4274	56	9	-	-	PUNCT
cana-4274	56	10	art	art	NOUN
cana-4274	56	11	feature	feature	NOUN
cana-4274	56	12	extraction	extraction	NOUN
cana-4274	56	13	methods	method	NOUN
cana-4274	56	14	tailored	tailor	VERB
cana-4274	56	15	to	to	ADP
cana-4274	56	16	each	each	DET
cana-4274	56	17	modality	modality	NOUN
cana-4274	56	18	.	.	PUNCT
cana-4274	57	1	for	for	ADP
cana-4274	57	2	text	text	NOUN
cana-4274	57	3	data	datum	NOUN
cana-4274	57	4	,	,	PUNCT
cana-4274	57	5	we	we	PRON
cana-4274	57	6	utilize	utilize	VERB
cana-4274	57	7	the	the	DET
cana-4274	57	8	ana	ana	PROPN
cana-4274	57	9	to	to	PART
cana-4274	57	10	capture	capture	VERB
cana-4274	57	11	contextual	contextual	ADJ
cana-4274	57	12	information	information	NOUN
cana-4274	57	13	effectively	effectively	ADV
cana-4274	57	14	.	.	PUNCT
cana-4274	58	1	audio	audio	ADJ
cana-4274	58	2	features	feature	NOUN
cana-4274	58	3	are	be	AUX
cana-4274	58	4	extracted	extract	VERB
cana-4274	58	5	using	use	VERB
cana-4274	58	6	mfcc	mfcc	NOUN
cana-4274	58	7	,	,	PUNCT
cana-4274	58	8	which	which	PRON
cana-4274	58	9	are	be	AUX
cana-4274	58	10	well	well	ADV
cana-4274	58	11	-	-	PUNCT
cana-4274	58	12	suited	suit	VERB
cana-4274	58	13	for	for	ADP
cana-4274	58	14	capturing	capture	VERB
cana-4274	58	15	spectral	spectral	ADJ
cana-4274	58	16	characteristics	characteristic	NOUN
cana-4274	58	17	in	in	ADP
cana-4274	58	18	speech	speech	NOUN
cana-4274	58	19	.	.	PUNCT
cana-4274	59	1	visual	visual	ADJ
cana-4274	59	2	features	feature	NOUN
cana-4274	59	3	are	be	AUX
cana-4274	59	4	extracted	extract	VERB
cana-4274	59	5	using	use	VERB
cana-4274	59	6	squeezenet	squeezenet	NOUN
cana-4274	59	7	,	,	PUNCT
cana-4274	59	8	a	a	DET
cana-4274	59	9	deep	deep	ADJ
cana-4274	59	10	learning	learning	NOUN
cana-4274	59	11	architecture	architecture	NOUN
cana-4274	59	12	optimized	optimize	VERB
cana-4274	59	13	for	for	ADP
cana-4274	59	14	efficient	efficient	ADJ
cana-4274	59	15	yet	yet	CCONJ
cana-4274	59	16	informative	informative	ADJ
cana-4274	59	17	representation	representation	NOUN
cana-4274	59	18	of	of	ADP
cana-4274	59	19	visual	visual	ADJ
cana-4274	59	20	data	datum	NOUN
cana-4274	59	21	.	.	PUNCT
cana-4274	60	1	•	•	NOUN
cana-4274	61	1	leveraging	leverage	VERB
cana-4274	61	2	the	the	DET
cana-4274	61	3	extracted	extract	VERB
cana-4274	61	4	features	feature	NOUN
cana-4274	61	5	from	from	ADP
cana-4274	61	6	text	text	NOUN
cana-4274	61	7	,	,	PUNCT
cana-4274	61	8	audio	audio	NOUN
cana-4274	61	9	,	,	PUNCT
cana-4274	61	10	and	and	CCONJ
cana-4274	61	11	visual	visual	ADJ
cana-4274	61	12	modalities	modality	NOUN
cana-4274	61	13	,	,	PUNCT
cana-4274	61	14	we	we	PRON
cana-4274	61	15	propose	propose	VERB
cana-4274	61	16	a	a	DET
cana-4274	61	17	multimodal	multimodal	ADJ
cana-4274	61	18	data	datum	NOUN
cana-4274	61	19	fusion	fusion	NOUN
cana-4274	61	20	strategy	strategy	NOUN
cana-4274	61	21	to	to	PART
cana-4274	61	22	combine	combine	VERB
cana-4274	61	23	information	information	NOUN
cana-4274	61	24	across	across	ADP
cana-4274	61	25	modalities	modality	NOUN
cana-4274	61	26	effectively	effectively	ADV
cana-4274	61	27	.	.	PUNCT
cana-4274	62	1	this	this	DET
cana-4274	62	2	fusion	fusion	NOUN
cana-4274	62	3	approach	approach	NOUN
cana-4274	62	4	enables	enable	VERB
cana-4274	62	5	the	the	DET
cana-4274	62	6	integration	integration	NOUN
cana-4274	62	7	of	of	ADP
cana-4274	62	8	complementary	complementary	ADJ
cana-4274	62	9	information	information	NOUN
cana-4274	62	10	from	from	ADP
cana-4274	62	11	different	different	ADJ
cana-4274	62	12	modalities	modality	NOUN
cana-4274	62	13	,	,	PUNCT
cana-4274	62	14	enhancing	enhance	VERB
cana-4274	62	15	the	the	DET
cana-4274	62	16	overall	overall	ADJ
cana-4274	62	17	representation	representation	NOUN
cana-4274	62	18	of	of	ADP
cana-4274	62	19	emotional	emotional	ADJ
cana-4274	62	20	cues	cue	NOUN
cana-4274	62	21	.	.	PUNCT
cana-4274	63	1	•	•	NOUN
cana-4274	63	2	in	in	ADP
cana-4274	63	3	the	the	DET
cana-4274	63	4	classification	classification	NOUN
cana-4274	63	5	stage	stage	NOUN
cana-4274	63	6	,	,	PUNCT
cana-4274	63	7	we	we	PRON
cana-4274	63	8	employ	employ	VERB
cana-4274	63	9	capsule	capsule	NOUN
cana-4274	63	10	net	net	NOUN
cana-4274	63	11	,	,	PUNCT
cana-4274	63	12	a	a	DET
cana-4274	63	13	novel	novel	ADJ
cana-4274	63	14	neural	neural	ADJ
cana-4274	63	15	network	network	NOUN
cana-4274	63	16	architecture	architecture	NOUN
cana-4274	63	17	known	know	VERB
cana-4274	63	18	for	for	ADP
cana-4274	63	19	its	its	PRON
cana-4274	63	20	ability	ability	NOUN
cana-4274	63	21	to	to	PART
cana-4274	63	22	capture	capture	VERB
cana-4274	63	23	hierarchical	hierarchical	ADJ
cana-4274	63	24	relationships	relationship	NOUN
cana-4274	63	25	and	and	CCONJ
cana-4274	63	26	spatial	spatial	ADJ
cana-4274	63	27	hierarchies	hierarchy	NOUN
cana-4274	63	28	within	within	ADP
cana-4274	63	29	data	datum	NOUN
cana-4274	63	30	.	.	PUNCT
cana-4274	64	1	by	by	ADP
cana-4274	64	2	utilizing	utilize	VERB
cana-4274	64	3	capsule	capsule	NOUN
cana-4274	64	4	net	net	NOUN
cana-4274	64	5	for	for	ADP
cana-4274	64	6	emotion	emotion	NOUN
cana-4274	64	7	classification	classification	NOUN
cana-4274	64	8	,	,	PUNCT
cana-4274	64	9	we	we	PRON
cana-4274	64	10	aim	aim	VERB
cana-4274	64	11	to	to	PART
cana-4274	64	12	leverage	leverage	VERB
cana-4274	64	13	its	its	PRON
cana-4274	64	14	inherent	inherent	ADJ
cana-4274	64	15	advantages	advantage	NOUN
cana-4274	64	16	in	in	ADP
cana-4274	64	17	handling	handle	VERB
cana-4274	64	18	complex	complex	ADJ
cana-4274	64	19	multimodal	multimodal	ADJ
cana-4274	64	20	data	datum	NOUN
cana-4274	64	21	.	.	PUNCT
cana-4274	65	1	•	•	ADP
cana-4274	65	2	to	to	PART
cana-4274	65	3	optimize	optimize	VERB
cana-4274	65	4	the	the	DET
cana-4274	65	5	performance	performance	NOUN
cana-4274	65	6	of	of	ADP
cana-4274	65	7	the	the	DET
cana-4274	65	8	capsule	capsule	ADJ
cana-4274	65	9	net	net	NOUN
cana-4274	65	10	classifier	classifier	NOUN
cana-4274	65	11	,	,	PUNCT
cana-4274	65	12	employ	employ	VERB
cana-4274	65	13	hyperparameter	hyperparameter	NOUN
cana-4274	65	14	tuning	tuning	NOUN
cana-4274	65	15	using	use	VERB
cana-4274	65	16	the	the	DET
cana-4274	65	17	scso	scso	NOUN
cana-4274	65	18	.	.	PUNCT
cana-4274	66	1	scso	scso	NOUN
cana-4274	66	2	is	be	AUX
cana-4274	66	3	a	a	DET
cana-4274	66	4	metaheuristic	metaheuristic	ADJ
cana-4274	66	5	optimization	optimization	NOUN
cana-4274	66	6	technique	technique	NOUN
cana-4274	66	7	inspired	inspire	VERB
cana-4274	66	8	by	by	ADP
cana-4274	66	9	the	the	DET
cana-4274	66	10	performance	performance	NOUN
cana-4274	66	11	of	of	ADP
cana-4274	66	12	sand	sand	NOUN
cana-4274	66	13	cats	cat	NOUN
cana-4274	66	14	,	,	PUNCT
cana-4274	66	15	which	which	PRON
cana-4274	66	16	iteratively	iteratively	ADV
cana-4274	66	17	updates	update	VERB
cana-4274	66	18	candidate	candidate	NOUN
cana-4274	66	19	solutions	solution	NOUN
cana-4274	66	20	to	to	PART
cana-4274	66	21	converge	converge	VERB
cana-4274	66	22	towards	towards	ADP
cana-4274	66	23	optimal	optimal	ADJ
cana-4274	66	24	hyperparameter	hyperparameter	NOUN
cana-4274	66	25	configurations	configuration	NOUN
cana-4274	66	26	.	.	PUNCT
cana-4274	67	1	this	this	DET
cana-4274	67	2	approach	approach	NOUN
cana-4274	67	3	ensures	ensure	VERB
cana-4274	67	4	that	that	SCONJ
cana-4274	67	5	the	the	DET
cana-4274	67	6	capsule	capsule	ADJ
cana-4274	67	7	net	net	ADJ
cana-4274	67	8	classifier	classifier	NOUN
cana-4274	67	9	is	be	AUX
cana-4274	67	10	fine	fine	ADV
cana-4274	67	11	-	-	PUNCT
cana-4274	67	12	tuned	tune	VERB
cana-4274	67	13	to	to	PART
cana-4274	67	14	achieve	achieve	VERB
cana-4274	67	15	the	the	DET
cana-4274	67	16	best	good	ADJ
cana-4274	67	17	possible	possible	ADJ
cana-4274	67	18	performance	performance	NOUN
cana-4274	67	19	on	on	ADP
cana-4274	67	20	the	the	DET
cana-4274	67	21	given	give	VERB
cana-4274	67	22	emotion	emotion	NOUN
cana-4274	67	23	recognition	recognition	NOUN
cana-4274	67	24	task	task	NOUN
cana-4274	67	25	.	.	PUNCT
cana-4274	68	1	2	2	NUM
cana-4274	68	2	.	.	NUM
cana-4274	68	3	related	relate	VERB
cana-4274	68	4	works	work	NOUN
cana-4274	68	5	liu	liu	PROPN
cana-4274	68	6	et	et	PROPN
cana-4274	68	7	al	al	PROPN
cana-4274	68	8	.	.	PUNCT
cana-4274	69	1	[	[	X
cana-4274	69	2	15	15	NUM
cana-4274	69	3	]	]	PUNCT
cana-4274	69	4	proposed	propose	VERB
cana-4274	69	5	because	because	SCONJ
cana-4274	69	6	multidimensional	multidimensional	ADJ
cana-4274	69	7	signals	signal	NOUN
cana-4274	69	8	may	may	AUX
cana-4274	69	9	capture	capture	VERB
cana-4274	69	10	emotions	emotion	NOUN
cana-4274	69	11	in	in	ADP
cana-4274	69	12	their	their	PRON
cana-4274	69	13	whole	whole	NOUN
cana-4274	69	14	,	,	PUNCT
cana-4274	69	15	they	they	PRON
cana-4274	69	16	are	be	AUX
cana-4274	69	17	effective	effective	ADJ
cana-4274	69	18	for	for	ADP
cana-4274	69	19	recognizing	recognize	VERB
cana-4274	69	20	emotions	emotion	NOUN
cana-4274	69	21	.	.	PUNCT
cana-4274	70	1	this	this	DET
cana-4274	70	2	research	research	NOUN
cana-4274	70	3	examines	examine	VERB
cana-4274	70	4	the	the	DET
cana-4274	70	5	durability	durability	NOUN
cana-4274	70	6	and	and	CCONJ
cana-4274	70	7	recognition	recognition	NOUN
cana-4274	70	8	accuracy	accuracy	NOUN
cana-4274	70	9	of	of	ADP
cana-4274	70	10	two	two	NUM
cana-4274	70	11	multimodal	multimodal	ADJ
cana-4274	70	12	emotion	emotion	NOUN
cana-4274	70	13	recognition	recognition	NOUN
cana-4274	70	14	models	model	NOUN
cana-4274	70	15	:	:	PUNCT
cana-4274	70	16	bimodal	bimodal	VERB
cana-4274	70	17	deep	deep	ADJ
cana-4274	70	18	autoencoder	autoencoder	NOUN
cana-4274	70	19	(	(	PUNCT
cana-4274	70	20	bdae	bdae	NOUN
cana-4274	70	21	)	)	PUNCT
cana-4274	70	22	and	and	CCONJ
cana-4274	70	23	deep	deep	ADJ
cana-4274	70	24	canonical	canonical	ADJ
cana-4274	70	25	correlation	correlation	NOUN
cana-4274	70	26	analysis	analysis	NOUN
cana-4274	70	27	(	(	PUNCT
cana-4274	70	28	dcca	dcca	PROPN
cana-4274	70	29	)	)	PUNCT
cana-4274	70	30	.	.	PUNCT
cana-4274	71	1	this	this	DET
cana-4274	71	2	work	work	NOUN
cana-4274	71	3	makes	make	VERB
cana-4274	71	4	the	the	DET
cana-4274	71	5	following	follow	VERB
cana-4274	71	6	three	three	NUM
cana-4274	71	7	contributions	contribution	NOUN
cana-4274	71	8	as	as	ADV
cana-4274	71	9	well	well	ADV
cana-4274	71	10	as	as	ADP
cana-4274	71	11	1	1	NUM
cana-4274	71	12	)	)	PUNCT
cana-4274	71	13	they	they	PRON
cana-4274	71	14	suggest	suggest	AUX
cana-4274	71	15	weighted	weight	VERB
cana-4274	71	16	sum	sum	NOUN
cana-4274	71	17	fusion	fusion	NOUN
cana-4274	71	18	and	and	CCONJ
cana-4274	71	19	attention	attention	NOUN
cana-4274	71	20	-	-	PUNCT
cana-4274	71	21	based	base	VERB
cana-4274	71	22	fusion	fusion	NOUN
cana-4274	71	23	as	as	ADP
cana-4274	71	24	two	two	NUM
cana-4274	71	25	ways	way	NOUN
cana-4274	71	26	to	to	PART
cana-4274	71	27	expand	expand	VERB
cana-4274	71	28	the	the	DET
cana-4274	71	29	basic	basic	ADJ
cana-4274	71	30	dcca	dcca	ADJ
cana-4274	71	31	model	model	NOUN
cana-4274	71	32	for	for	ADP
cana-4274	71	33	multimodal	multimodal	ADJ
cana-4274	71	34	fusion	fusion	NOUN
cana-4274	71	35	.	.	PUNCT
cana-4274	72	1	2	2	NUM
cana-4274	72	2	)	)	PUNCT
cana-4274	72	3	on	on	ADP
cana-4274	72	4	5	5	NUM
cana-4274	72	5	multimodal	multimodal	NOUN
cana-4274	72	6	datasets	dataset	NOUN
cana-4274	72	7	,	,	PUNCT
cana-4274	72	8	they	they	PRON
cana-4274	72	9	assess	assess	VERB
cana-4274	72	10	the	the	DET
cana-4274	72	11	effectiveness	effectiveness	NOUN
cana-4274	72	12	of	of	ADP
cana-4274	72	13	dcca	dcca	PROPN
cana-4274	72	14	,	,	PUNCT
cana-4274	72	15	bdae	bdae	NOUN
cana-4274	72	16	,	,	PUNCT
cana-4274	72	17	and	and	CCONJ
cana-4274	72	18	conventional	conventional	ADJ
cana-4274	72	19	methods	method	NOUN
cana-4274	72	20	holistically	holistically	ADV
cana-4274	72	21	.	.	PUNCT
cana-4274	73	1	3	3	X
cana-4274	73	2	)	)	PUNCT
cana-4274	73	3	using	use	VERB
cana-4274	73	4	the	the	DET
cana-4274	73	5	seed	seed	NOUN
cana-4274	73	6	-	-	PUNCT
cana-4274	73	7	v	v	NOUN
cana-4274	73	8	and	and	CCONJ
cana-4274	73	9	dreamer	dreamer	PROPN
cana-4274	73	10	datasets	dataset	NOUN
cana-4274	73	11	,	,	PUNCT
cana-4274	73	12	they	they	PRON
cana-4274	73	13	examine	examine	VERB
cana-4274	73	14	the	the	DET
cana-4274	73	15	resilience	resilience	NOUN
cana-4274	73	16	of	of	ADP
cana-4274	73	17	dcca	dcca	PROPN
cana-4274	73	18	,	,	PUNCT
cana-4274	73	19	bdae	bdae	NOUN
cana-4274	73	20	,	,	PUNCT
cana-4274	73	21	and	and	CCONJ
cana-4274	73	22	conventional	conventional	ADJ
cana-4274	73	23	methods	method	NOUN
cana-4274	73	24	in	in	ADP
cana-4274	73	25	two	two	NUM
cana-4274	73	26	scenarios	scenario	NOUN
cana-4274	73	27	:	:	PUNCT
cana-4274	73	28	adding	add	VERB
cana-4274	73	29	noise	noise	NOUN
cana-4274	73	30	to	to	ADP
cana-4274	73	31	bidirectional	bidirectional	ADJ
cana-4274	73	32	variables	variable	NOUN
cana-4274	73	33	and	and	CCONJ
cana-4274	73	34	substituting	substitute	VERB
cana-4274	73	35	noise	noise	NOUN
cana-4274	73	36	for	for	ADP
cana-4274	73	37	eeg	eeg	NOUN
cana-4274	73	38	information	information	NOUN
cana-4274	73	39	.	.	PUNCT
cana-4274	74	1	cimtay	cimtay	PROPN
cana-4274	74	2	et	et	PROPN
cana-4274	74	3	al	al	PROPN
cana-4274	74	4	.	.	PUNCT
cana-4274	75	1	[	[	X
cana-4274	75	2	16	16	NUM
cana-4274	75	3	]	]	PUNCT
cana-4274	75	4	proposed	propose	VERB
cana-4274	75	5	an	an	DET
cana-4274	75	6	innovative	innovative	ADJ
cana-4274	75	7	technique	technique	NOUN
cana-4274	75	8	for	for	ADP
cana-4274	75	9	recognizing	recognize	VERB
cana-4274	75	10	emotions	emotion	NOUN
cana-4274	75	11	is	be	AUX
cana-4274	75	12	unveiled	unveil	VERB
cana-4274	75	13	,	,	PUNCT
cana-4274	75	14	utilizing	utilize	VERB
cana-4274	75	15	many	many	ADJ
cana-4274	75	16	modalities	modality	NOUN
cana-4274	75	17	such	such	ADJ
cana-4274	75	18	as	as	ADP
cana-4274	75	19	electroencephalogram	electroencephalogram	NOUN
cana-4274	75	20	(	(	PUNCT
cana-4274	75	21	eeg	eeg	NOUN
cana-4274	75	22	)	)	PUNCT
cana-4274	75	23	,	,	PUNCT
cana-4274	75	24	galvanic	galvanic	ADJ
cana-4274	75	25	skin	skin	NOUN
cana-4274	75	26	response	response	NOUN
cana-4274	75	27	(	(	PUNCT
cana-4274	75	28	gsr	gsr	NOUN
cana-4274	75	29	)	)	PUNCT
cana-4274	75	30	,	,	PUNCT
cana-4274	75	31	and	and	CCONJ
cana-4274	75	32	facial	facial	ADJ
cana-4274	75	33	expressions	expression	NOUN
cana-4274	75	34	.	.	PUNCT
cana-4274	76	1	utilizing	utilize	VERB
cana-4274	76	2	a	a	DET
cana-4274	76	3	hybrid	hybrid	ADJ
cana-4274	76	4	fusion	fusion	NOUN
cana-4274	76	5	approach	approach	NOUN
cana-4274	76	6	,	,	PUNCT
cana-4274	76	7	this	this	DET
cana-4274	76	8	technique	technique	NOUN
cana-4274	76	9	produces	produce	VERB
cana-4274	76	10	a	a	DET
cana-4274	76	11	mean	mean	ADJ
cana-4274	76	12	accuracy	accuracy	NOUN
cana-4274	76	13	of	of	ADP
cana-4274	76	14	74.2	74.2	NUM
cana-4274	76	15	%	%	NOUN
cana-4274	76	16	and	and	CCONJ
cana-4274	76	17	a	a	DET
cana-4274	76	18	most	most	ADV
cana-4274	76	19	one	one	NUM
cana-4274	76	20	-	-	PUNCT
cana-4274	76	21	subject	subject	NOUN
cana-4274	76	22	-	-	PUNCT
cana-4274	76	23	out	out	ADP
cana-4274	76	24	accuracy	accuracy	NOUN
cana-4274	76	25	of	of	ADP
cana-4274	76	26	81.2	81.2	NUM
cana-4274	76	27	%	%	NOUN
cana-4274	76	28	for	for	ADP
cana-4274	76	29	three	three	NUM
cana-4274	76	30	different	different	ADJ
cana-4274	76	31	emotion	emotion	NOUN
cana-4274	76	32	classes	class	NOUN
cana-4274	76	33	(	(	PUNCT
cana-4274	76	34	happy	happy	ADJ
cana-4274	76	35	,	,	PUNCT
cana-4274	76	36	neutral	neutral	ADJ
cana-4274	76	37	,	,	PUNCT
cana-4274	76	38	and	and	CCONJ
cana-4274	76	39	communications	communication	NOUN
cana-4274	76	40	on	on	ADP
cana-4274	76	41	applied	apply	VERB
cana-4274	76	42	nonlinear	nonlinear	ADJ
cana-4274	76	43	analysis	analysis	NOUN
cana-4274	76	44	issn	issn	NOUN
cana-4274	76	45	:	:	PUNCT
cana-4274	76	46	1074	1074	NUM
cana-4274	76	47	-	-	PUNCT
cana-4274	76	48	133x	133x	NUM
cana-4274	76	49	vol	vol	NOUN
cana-4274	76	50	32	32	NUM
cana-4274	76	51	no	no	NOUN
cana-4274	76	52	.	.	PUNCT
cana-4274	77	1	9s	9s	NUM
cana-4274	77	2	(	(	PUNCT
cana-4274	77	3	2025	2025	NUM
cana-4274	77	4	)	)	PUNCT
cana-4274	77	5	1680	1680	NUM
cana-4274	77	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	77	7	sad	sad	ADJ
cana-4274	77	8	)	)	PUNCT
cana-4274	77	9	using	use	VERB
cana-4274	77	10	our	our	PRON
cana-4274	77	11	own	own	ADJ
cana-4274	77	12	multimodal	multimodal	NOUN
cana-4274	77	13	emotion	emotion	NOUN
cana-4274	77	14	dataset	dataset	NOUN
cana-4274	77	15	(	(	PUNCT
cana-4274	77	16	lumed-2	lumed-2	NOUN
cana-4274	77	17	)	)	PUNCT
cana-4274	77	18	.	.	PUNCT
cana-4274	78	1	similar	similar	ADJ
cana-4274	78	2	to	to	ADP
cana-4274	78	3	this	this	PRON
cana-4274	78	4	,	,	PUNCT
cana-4274	78	5	on	on	ADP
cana-4274	78	6	the	the	DET
cana-4274	78	7	deap	deap	NOUN
cana-4274	78	8	,	,	PUNCT
cana-4274	78	9	our	our	PRON
cana-4274	78	10	method	method	NOUN
cana-4274	78	11	produces	produce	VERB
cana-4274	78	12	an	an	DET
cana-4274	78	13	overall	overall	ADJ
cana-4274	78	14	accuracy	accuracy	NOUN
cana-4274	78	15	of	of	ADP
cana-4274	78	16	53.8	53.8	NUM
cana-4274	78	17	%	%	NOUN
cana-4274	78	18	and	and	CCONJ
cana-4274	78	19	a	a	DET
cana-4274	78	20	highest	high	ADJ
cana-4274	78	21	one	one	NUM
cana-4274	78	22	-	-	PUNCT
cana-4274	78	23	subject	subject	NOUN
cana-4274	78	24	-	-	PUNCT
cana-4274	78	25	out	out	ADP
cana-4274	78	26	accuracy	accuracy	NOUN
cana-4274	78	27	of	of	ADP
cana-4274	78	28	91.5	91.5	NUM
cana-4274	78	29	%	%	NOUN
cana-4274	78	30	for	for	ADP
cana-4274	78	31	varied	varied	ADJ
cana-4274	78	32	numbers	number	NOUN
cana-4274	78	33	of	of	ADP
cana-4274	78	34	emotion	emotion	NOUN
cana-4274	78	35	classes	class	NOUN
cana-4274	78	36	,	,	PUNCT
cana-4274	78	37	4	4	NUM
cana-4274	78	38	on	on	ADP
cana-4274	78	39	average	average	ADJ
cana-4274	78	40	,	,	PUNCT
cana-4274	78	41	including	include	VERB
cana-4274	78	42	fearful	fearful	ADJ
cana-4274	78	43	,	,	PUNCT
cana-4274	78	44	angry	angry	ADJ
cana-4274	78	45	,	,	PUNCT
cana-4274	78	46	neutral	neutral	ADJ
cana-4274	78	47	,	,	PUNCT
cana-4274	78	48	disgust	disgust	ADJ
cana-4274	78	49	,	,	PUNCT
cana-4274	78	50	happy	happy	ADJ
cana-4274	78	51	,	,	PUNCT
cana-4274	78	52	sad	sad	ADJ
cana-4274	78	53	,	,	PUNCT
cana-4274	78	54	and	and	CCONJ
cana-4274	78	55	surprised	surprised	ADJ
cana-4274	78	56	.	.	PUNCT
cana-4274	79	1	zhang	zhang	PROPN
cana-4274	79	2	et	et	PROPN
cana-4274	79	3	al	al	PROPN
cana-4274	79	4	.	.	PUNCT
cana-4274	80	1	[	[	X
cana-4274	80	2	17	17	NUM
cana-4274	80	3	]	]	PUNCT
cana-4274	80	4	proposes	propose	VERB
cana-4274	80	5	a	a	DET
cana-4274	80	6	convolutional	convolutional	ADJ
cana-4274	80	7	neural	neural	ADJ
cana-4274	80	8	network	network	NOUN
cana-4274	80	9	model	model	NOUN
cana-4274	80	10	with	with	ADP
cana-4274	80	11	a	a	DET
cana-4274	80	12	centralized	centralized	ADJ
cana-4274	80	13	fusion	fusion	NOUN
cana-4274	80	14	framework	framework	NOUN
cana-4274	80	15	to	to	PART
cana-4274	80	16	mine	mine	VERB
cana-4274	80	17	the	the	DET
cana-4274	80	18	possible	possible	ADJ
cana-4274	80	19	information	information	NOUN
cana-4274	80	20	in	in	ADP
cana-4274	80	21	data	datum	NOUN
cana-4274	80	22	by	by	ADP
cana-4274	80	23	building	build	VERB
cana-4274	80	24	various	various	ADJ
cana-4274	80	25	hierarchical	hierarchical	ADJ
cana-4274	80	26	networks	network	NOUN
cana-4274	80	27	,	,	PUNCT
cana-4274	80	28	gathering	gather	VERB
cana-4274	80	29	multiscale	multiscale	ADJ
cana-4274	80	30	features	feature	NOUN
cana-4274	80	31	,	,	PUNCT
cana-4274	80	32	and	and	CCONJ
cana-4274	80	33	fusing	fuse	VERB
cana-4274	80	34	the	the	DET
cana-4274	80	35	global	global	ADJ
cana-4274	80	36	facial	facial	ADJ
cana-4274	80	37	appearance	appearance	NOUN
cana-4274	80	38	created	create	VERB
cana-4274	80	39	by	by	ADP
cana-4274	80	40	integrating	integrate	VERB
cana-4274	80	41	weights	weight	NOUN
cana-4274	80	42	with	with	ADP
cana-4274	80	43	statistical	statistical	ADJ
cana-4274	80	44	features	feature	NOUN
cana-4274	80	45	that	that	PRON
cana-4274	80	46	were	be	AUX
cana-4274	80	47	manually	manually	ADV
cana-4274	80	48	extracted	extract	VERB
cana-4274	80	49	to	to	PART
cana-4274	80	50	form	form	VERB
cana-4274	80	51	the	the	DET
cana-4274	80	52	final	final	ADJ
cana-4274	80	53	feature	feature	NOUN
cana-4274	80	54	vector	vector	NOUN
cana-4274	80	55	employing	employ	VERB
cana-4274	80	56	featurelevel	featurelevel	NOUN
cana-4274	80	57	fusion	fusion	NOUN
cana-4274	80	58	.	.	PUNCT
cana-4274	81	1	to	to	PART
cana-4274	81	2	assess	assess	VERB
cana-4274	81	3	the	the	DET
cana-4274	81	4	efficacy	efficacy	NOUN
cana-4274	81	5	of	of	ADP
cana-4274	81	6	the	the	DET
cana-4274	81	7	suggested	suggest	VERB
cana-4274	81	8	model	model	NOUN
cana-4274	81	9	,	,	PUNCT
cana-4274	81	10	this	this	DET
cana-4274	81	11	research	research	NOUN
cana-4274	81	12	performs	perform	VERB
cana-4274	81	13	studies	study	NOUN
cana-4274	81	14	using	use	VERB
cana-4274	81	15	a	a	DET
cana-4274	81	16	binary	binary	ADJ
cana-4274	81	17	system	system	NOUN
cana-4274	81	18	on	on	ADP
cana-4274	81	19	the	the	DET
cana-4274	81	20	valence	valence	NOUN
cana-4274	81	21	and	and	CCONJ
cana-4274	81	22	arousal	arousal	ADJ
cana-4274	81	23	properties	property	NOUN
cana-4274	81	24	of	of	ADP
cana-4274	81	25	the	the	DET
cana-4274	81	26	mahnob	mahnob	NOUN
cana-4274	81	27	-	-	PUNCT
cana-4274	81	28	hci	hci	NOUN
cana-4274	81	29	and	and	CCONJ
cana-4274	81	30	deap	deap	ADJ
cana-4274	81	31	data	datum	NOUN
cana-4274	81	32	sets	set	NOUN
cana-4274	81	33	.	.	PUNCT
cana-4274	82	1	siriwardhana	siriwardhana	PROPN
cana-4274	82	2	et	et	PROPN
cana-4274	82	3	al	al	PROPN
cana-4274	82	4	.	.	PUNCT
cana-4274	83	1	[	[	X
cana-4274	83	2	18	18	NUM
cana-4274	83	3	]	]	PUNCT
cana-4274	83	4	proposed	propose	VERB
cana-4274	83	5	multimodal	multimodal	NOUN
cana-4274	83	6	emotion	emotion	NOUN
cana-4274	83	7	recognition	recognition	NOUN
cana-4274	83	8	investigation	investigation	NOUN
cana-4274	83	9	,	,	PUNCT
cana-4274	83	10	the	the	DET
cana-4274	83	11	most	most	ADV
cana-4274	83	12	important	important	ADJ
cana-4274	83	13	problems	problem	NOUN
cana-4274	83	14	are	be	AUX
cana-4274	83	15	feature	feature	NOUN
cana-4274	83	16	fusion	fusion	NOUN
cana-4274	83	17	and	and	CCONJ
cana-4274	83	18	representations	representation	NOUN
cana-4274	83	19	.	.	PUNCT
cana-4274	84	1	with	with	ADP
cana-4274	84	2	access	access	NOUN
cana-4274	84	3	to	to	ADP
cana-4274	84	4	pre	pre	ADJ
cana-4274	84	5	-	-	ADJ
cana-4274	84	6	trained	train	VERB
cana-4274	84	7	ssl	ssl	ADJ
cana-4274	84	8	algorithms	algorithm	NOUN
cana-4274	84	9	that	that	PRON
cana-4274	84	10	reflect	reflect	VERB
cana-4274	84	11	many	many	ADJ
cana-4274	84	12	data	datum	NOUN
cana-4274	84	13	modalities	modality	NOUN
cana-4274	84	14	,	,	PUNCT
cana-4274	84	15	self	self	NOUN
cana-4274	84	16	supervised	supervise	VERB
cana-4274	84	17	learning	learning	NOUN
cana-4274	84	18	(	(	PUNCT
cana-4274	84	19	ssl	ssl	ADJ
cana-4274	84	20	)	)	PUNCT
cana-4274	84	21	has	have	AUX
cana-4274	84	22	emerged	emerge	VERB
cana-4274	84	23	as	as	ADP
cana-4274	84	24	a	a	DET
cana-4274	84	25	well	well	ADV
cana-4274	84	26	-	-	PUNCT
cana-4274	84	27	known	know	VERB
cana-4274	84	28	and	and	CCONJ
cana-4274	84	29	significant	significant	ADJ
cana-4274	84	30	study	study	NOUN
cana-4274	84	31	area	area	NOUN
cana-4274	84	32	in	in	ADP
cana-4274	84	33	representational	representational	ADJ
cana-4274	84	34	learning	learning	NOUN
cana-4274	84	35	.	.	PUNCT
cana-4274	85	1	in	in	ADP
cana-4274	85	2	this	this	DET
cana-4274	85	3	research	research	NOUN
cana-4274	85	4	,	,	PUNCT
cana-4274	85	5	we	we	PRON
cana-4274	85	6	represent	represent	VERB
cana-4274	85	7	three	three	NUM
cana-4274	85	8	input	input	NOUN
cana-4274	85	9	modalities	modality	NOUN
cana-4274	85	10	—	—	PUNCT
cana-4274	85	11	text	text	NOUN
cana-4274	85	12	,	,	PUNCT
cana-4274	85	13	audio	audio	NOUN
cana-4274	85	14	(	(	PUNCT
cana-4274	85	15	voice	voice	NOUN
cana-4274	85	16	)	)	PUNCT
cana-4274	85	17	,	,	PUNCT
cana-4274	85	18	and	and	CCONJ
cana-4274	85	19	vision	vision	NOUN
cana-4274	85	20	—	—	PUNCT
cana-4274	85	21	for	for	ADP
cana-4274	85	22	the	the	DET
cana-4274	85	23	first	first	ADJ
cana-4274	85	24	time	time	NOUN
cana-4274	85	25	in	in	ADP
cana-4274	85	26	the	the	DET
cana-4274	85	27	literature	literature	NOUN
cana-4274	85	28	using	use	VERB
cana-4274	85	29	characteristics	characteristic	NOUN
cana-4274	85	30	taken	take	VERB
cana-4274	85	31	from	from	ADP
cana-4274	85	32	separately	separately	ADV
cana-4274	85	33	pre	pre	VERB
cana-4274	85	34	-	-	ADJ
cana-4274	85	35	trained	train	VERB
cana-4274	85	36	ssl	ssl	ADJ
cana-4274	85	37	models	model	NOUN
cana-4274	85	38	.	.	PUNCT
cana-4274	86	1	they	they	PRON
cana-4274	86	2	provide	provide	VERB
cana-4274	86	3	a	a	DET
cana-4274	86	4	unique	unique	ADJ
cana-4274	86	5	transformers	transformer	NOUN
cana-4274	86	6	and	and	CCONJ
cana-4274	86	7	attention	attention	NOUN
cana-4274	86	8	-	-	PUNCT
cana-4274	86	9	based	base	VERB
cana-4274	86	10	fusion	fusion	NOUN
cana-4274	86	11	method	method	NOUN
cana-4274	86	12	that	that	PRON
cana-4274	86	13	can	can	AUX
cana-4274	86	14	merge	merge	VERB
cana-4274	86	15	multilingual	multilingual	ADJ
cana-4274	86	16	ssl	ssl	ADJ
cana-4274	86	17	information	information	NOUN
cana-4274	86	18	and	and	CCONJ
cana-4274	86	19	obtain	obtain	VERB
cana-4274	86	20	modern	modern	ADJ
cana-4274	86	21	outcomes	outcome	NOUN
cana-4274	86	22	for	for	ADP
cana-4274	86	23	the	the	DET
cana-4274	86	24	multimodal	multimodal	ADJ
cana-4274	86	25	emotion	emotion	NOUN
cana-4274	86	26	identification	identification	NOUN
cana-4274	86	27	challenge	challenge	NOUN
cana-4274	86	28	,	,	PUNCT
cana-4274	86	29	given	give	VERB
cana-4274	86	30	the	the	DET
cana-4274	86	31	large	large	ADJ
cana-4274	86	32	dimensionality	dimensionality	NOUN
cana-4274	86	33	of	of	ADP
cana-4274	86	34	ssl	ssl	PROPN
cana-4274	86	35	features	feature	NOUN
cana-4274	86	36	.	.	PUNCT
cana-4274	87	1	lee	lee	PROPN
cana-4274	87	2	et	et	PROPN
cana-4274	87	3	al	al	PROPN
cana-4274	87	4	.	.	PUNCT
cana-4274	88	1	[	[	X
cana-4274	88	2	19	19	NUM
cana-4274	88	3	]	]	PUNCT
cana-4274	88	4	proposed	propose	VERB
cana-4274	88	5	a	a	DET
cana-4274	88	6	novel	novel	ADJ
cana-4274	88	7	multimodal	multimodal	NOUN
cana-4274	88	8	technique	technique	NOUN
cana-4274	88	9	for	for	ADP
cana-4274	88	10	emotion	emotion	NOUN
cana-4274	88	11	identification	identification	NOUN
cana-4274	88	12	that	that	PRON
cana-4274	88	13	enhances	enhance	VERB
cana-4274	88	14	the	the	DET
cana-4274	88	15	bert	bert	PROPN
cana-4274	88	16	model	model	NOUN
cana-4274	88	17	by	by	ADP
cana-4274	88	18	fusing	fuse	VERB
cana-4274	88	19	it	it	PRON
cana-4274	88	20	with	with	ADP
cana-4274	88	21	diverse	diverse	ADJ
cana-4274	88	22	information	information	NOUN
cana-4274	88	23	derived	derive	VERB
cana-4274	88	24	from	from	ADP
cana-4274	88	25	language	language	NOUN
cana-4274	88	26	,	,	PUNCT
cana-4274	88	27	audio	audio	NOUN
cana-4274	88	28	,	,	PUNCT
cana-4274	88	29	and	and	CCONJ
cana-4274	88	30	visual	visual	ADJ
cana-4274	88	31	modalities	modality	NOUN
cana-4274	88	32	.	.	PUNCT
cana-4274	89	1	in	in	ADP
cana-4274	89	2	particular	particular	ADJ
cana-4274	89	3	,	,	PUNCT
cana-4274	89	4	they	they	PRON
cana-4274	89	5	leverage	leverage	VERB
cana-4274	89	6	the	the	DET
cana-4274	89	7	differing	differ	VERB
cana-4274	89	8	properties	property	NOUN
cana-4274	89	9	of	of	ADP
cana-4274	89	10	the	the	DET
cana-4274	89	11	visual	visual	ADJ
cana-4274	89	12	and	and	CCONJ
cana-4274	89	13	aural	aural	ADJ
cana-4274	89	14	modalities	modality	NOUN
cana-4274	89	15	to	to	PART
cana-4274	89	16	enhance	enhance	VERB
cana-4274	89	17	the	the	DET
cana-4274	89	18	bert	bert	PROPN
cana-4274	89	19	model	model	NOUN
cana-4274	89	20	.	.	PUNCT
cana-4274	90	1	using	use	VERB
cana-4274	90	2	the	the	DET
cana-4274	90	3	previously	previously	ADV
cana-4274	90	4	introduced	introduce	VERB
cana-4274	90	5	transformers	transformer	NOUN
cana-4274	90	6	designs	design	NOUN
cana-4274	90	7	,	,	PUNCT
cana-4274	90	8	they	they	PRON
cana-4274	90	9	offer	offer	VERB
cana-4274	90	10	three	three	NUM
cana-4274	90	11	attention	attention	NOUN
cana-4274	90	12	-	-	PUNCT
cana-4274	90	13	based	base	VERB
cana-4274	90	14	multimodal	multimodal	NOUN
cana-4274	90	15	fusion	fusion	NOUN
cana-4274	90	16	mechanisms	mechanism	NOUN
cana-4274	90	17	:	:	PUNCT
cana-4274	90	18	the	the	DET
cana-4274	90	19	self	self	NOUN
cana-4274	90	20	-	-	PUNCT
cana-4274	90	21	multi	multi	ADJ
cana-4274	90	22	-	-	ADJ
cana-4274	90	23	attention	attention	ADJ
cana-4274	90	24	fusion	fusion	NOUN
cana-4274	90	25	module	module	NOUN
cana-4274	90	26	,	,	PUNCT
cana-4274	90	27	multiattention	multiattention	NOUN
cana-4274	90	28	fusion	fusion	NOUN
cana-4274	90	29	module	module	NOUN
cana-4274	90	30	,	,	PUNCT
cana-4274	90	31	and	and	CCONJ
cana-4274	90	32	video	video	NOUN
cana-4274	90	33	fusion	fusion	NOUN
cana-4274	90	34	module	module	NOUN
cana-4274	90	35	.	.	PUNCT
cana-4274	91	1	they	they	PRON
cana-4274	91	2	investigate	investigate	VERB
cana-4274	91	3	the	the	DET
cana-4274	91	4	best	good	ADJ
cana-4274	91	5	methods	method	NOUN
cana-4274	91	6	for	for	ADP
cana-4274	91	7	merging	merge	VERB
cana-4274	91	8	a	a	DET
cana-4274	91	9	pre	pre	ADJ
cana-4274	91	10	-	-	ADJ
cana-4274	91	11	trained	train	VERB
cana-4274	91	12	bert	bert	NOUN
cana-4274	91	13	model	model	NOUN
cana-4274	91	14	that	that	PRON
cana-4274	91	15	includes	include	VERB
cana-4274	91	16	fine	fine	ADV
cana-4274	91	17	-	-	PUNCT
cana-4274	91	18	tuning	tune	VERB
cana-4274	91	19	modalities	modality	NOUN
cana-4274	91	20	with	with	ADP
cana-4274	91	21	fine	fine	ADV
cana-4274	91	22	-	-	PUNCT
cana-4274	91	23	grained	grain	VERB
cana-4274	91	24	representations	representation	NOUN
cana-4274	91	25	of	of	ADP
cana-4274	91	26	audio	audio	ADJ
cana-4274	91	27	and	and	CCONJ
cana-4274	91	28	visual	visual	ADJ
cana-4274	91	29	characteristics	characteristic	NOUN
cana-4274	91	30	into	into	ADP
cana-4274	91	31	a	a	DET
cana-4274	91	32	shared	share	VERB
cana-4274	91	33	encoding	encoding	NOUN
cana-4274	91	34	.	.	PUNCT
cana-4274	92	1	they	they	PRON
cana-4274	92	2	assess	assess	VERB
cana-4274	92	3	the	the	DET
cana-4274	92	4	widely	widely	ADV
cana-4274	92	5	-	-	PUNCT
cana-4274	92	6	used	use	VERB
cana-4274	92	7	multimodal	multimodal	NOUN
cana-4274	92	8	sentiment	sentiment	NOUN
cana-4274	92	9	analysis	analysis	NOUN
cana-4274	92	10	datasets	dataset	NOUN
cana-4274	92	11	for	for	ADP
cana-4274	92	12	cmu	cmu	NOUN
cana-4274	92	13	-	-	PUNCT
cana-4274	92	14	mosi	mosi	NOUN
cana-4274	92	15	,	,	PUNCT
cana-4274	92	16	cmu	cmu	ADV
cana-4274	92	17	-	-	PUNCT
cana-4274	92	18	mosei	mosei	ADJ
cana-4274	92	19	,	,	PUNCT
cana-4274	92	20	and	and	CCONJ
cana-4274	92	21	iemocap	iemocap	NOUN
cana-4274	92	22	in	in	ADP
cana-4274	92	23	the	the	DET
cana-4274	92	24	course	course	NOUN
cana-4274	92	25	of	of	ADP
cana-4274	92	26	our	our	PRON
cana-4274	92	27	study	study	NOUN
cana-4274	92	28	.	.	PUNCT
cana-4274	93	1	hu	hu	PROPN
cana-4274	93	2	et	et	PROPN
cana-4274	93	3	al	al	PROPN
cana-4274	93	4	.	.	PUNCT
cana-4274	94	1	[	[	X
cana-4274	94	2	20	20	NUM
cana-4274	94	3	]	]	PUNCT
cana-4274	94	4	proposed	propose	VERB
cana-4274	94	5	a	a	DET
cana-4274	94	6	novel	novel	ADJ
cana-4274	94	7	model	model	NOUN
cana-4274	94	8	based	base	VERB
cana-4274	94	9	on	on	ADP
cana-4274	94	10	the	the	DET
cana-4274	94	11	multimodal	multimodal	NOUN
cana-4274	94	12	fused	fuse	VERB
cana-4274	94	13	graph	graph	NOUN
cana-4274	94	14	convolutional	convolutional	ADJ
cana-4274	94	15	network	network	NOUN
cana-4274	94	16	,	,	PUNCT
cana-4274	94	17	or	or	CCONJ
cana-4274	94	18	mmgcn	mmgcn	NOUN
cana-4274	94	19	.	.	PUNCT
cana-4274	95	1	in	in	ADP
cana-4274	95	2	addition	addition	NOUN
cana-4274	95	3	to	to	ADP
cana-4274	95	4	efficiently	efficiently	ADV
cana-4274	95	5	utilizing	utilize	VERB
cana-4274	95	6	multimodal	multimodal	NOUN
cana-4274	95	7	dependencies	dependency	NOUN
cana-4274	95	8	,	,	PUNCT
cana-4274	95	9	mmgcn	mmgcn	PROPN
cana-4274	95	10	may	may	AUX
cana-4274	95	11	represent	represent	VERB
cana-4274	95	12	inter	inter	ADJ
cana-4274	95	13	and	and	CCONJ
cana-4274	95	14	intra	intra	ADJ
cana-4274	95	15	-	-	ADJ
cana-4274	95	16	speaker	speaker	NOUN
cana-4274	95	17	dependencies	dependency	NOUN
cana-4274	95	18	by	by	ADP
cana-4274	95	19	utilizing	utilize	VERB
cana-4274	95	20	speaker	speaker	NOUN
cana-4274	95	21	metadata	metadata	NOUN
cana-4274	95	22	.	.	PUNCT
cana-4274	96	1	our	our	PRON
cana-4274	96	2	suggested	suggested	ADJ
cana-4274	96	3	model	model	NOUN
cana-4274	96	4	is	be	AUX
cana-4274	96	5	tested	test	VERB
cana-4274	96	6	using	use	VERB
cana-4274	96	7	two	two	NUM
cana-4274	96	8	publicly	publicly	ADV
cana-4274	96	9	available	available	ADJ
cana-4274	96	10	benchmark	benchmark	NOUN
cana-4274	96	11	datasets	dataset	NOUN
cana-4274	96	12	,	,	PUNCT
cana-4274	96	13	iemocap	iemocap	NOUN
cana-4274	96	14	and	and	CCONJ
cana-4274	96	15	meld	meld	ADJ
cana-4274	96	16	.	.	PUNCT
cana-4274	97	1	the	the	DET
cana-4274	97	2	outcomes	outcome	NOUN
cana-4274	97	3	demonstrate	demonstrate	VERB
cana-4274	97	4	the	the	DET
cana-4274	97	5	efficacy	efficacy	NOUN
cana-4274	97	6	of	of	ADP
cana-4274	97	7	mmgcn	mmgcn	PROPN
cana-4274	97	8	,	,	PUNCT
cana-4274	97	9	that	that	PRON
cana-4274	97	10	performs	perform	VERB
cana-4274	97	11	much	much	ADV
cana-4274	97	12	better	well	ADV
cana-4274	97	13	in	in	ADP
cana-4274	97	14	the	the	DET
cana-4274	97	15	multimodal	multimodal	ADJ
cana-4274	97	16	conversational	conversational	ADJ
cana-4274	97	17	context	context	NOUN
cana-4274	97	18	than	than	ADP
cana-4274	97	19	existing	exist	VERB
cana-4274	97	20	sota	sota	NOUN
cana-4274	97	21	techniques	technique	NOUN
cana-4274	97	22	.	.	PUNCT
cana-4274	98	1	xie	xie	PROPN
cana-4274	98	2	et	et	PROPN
cana-4274	98	3	al	al	PROPN
cana-4274	98	4	.	.	PUNCT
cana-4274	99	1	[	[	X
cana-4274	99	2	21	21	NUM
cana-4274	99	3	]	]	PUNCT
cana-4274	99	4	proposed	propose	VERB
cana-4274	99	5	a	a	DET
cana-4274	99	6	strong	strong	ADJ
cana-4274	99	7	method	method	NOUN
cana-4274	99	8	for	for	ADP
cana-4274	99	9	identifying	identify	VERB
cana-4274	99	10	different	different	ADJ
cana-4274	99	11	emotions	emotion	NOUN
cana-4274	99	12	in	in	ADP
cana-4274	99	13	a	a	DET
cana-4274	99	14	discussion	discussion	NOUN
cana-4274	99	15	.	.	PUNCT
cana-4274	100	1	on	on	ADP
cana-4274	100	2	the	the	DET
cana-4274	100	3	meld	meld	NOUN
cana-4274	100	4	,	,	PUNCT
cana-4274	100	5	three	three	NUM
cana-4274	100	6	distinct	distinct	ADJ
cana-4274	100	7	models	model	NOUN
cana-4274	100	8	for	for	ADP
cana-4274	100	9	text	text	NOUN
cana-4274	100	10	,	,	PUNCT
cana-4274	100	11	video	video	NOUN
cana-4274	100	12	,	,	PUNCT
cana-4274	100	13	and	and	CCONJ
cana-4274	100	14	audio	audio	NOUN
cana-4274	100	15	modalities	modality	NOUN
cana-4274	100	16	are	be	AUX
cana-4274	100	17	organized	organize	VERB
cana-4274	100	18	and	and	CCONJ
cana-4274	100	19	refined	refine	VERB
cana-4274	100	20	.	.	PUNCT
cana-4274	101	1	this	this	DET
cana-4274	101	2	work	work	NOUN
cana-4274	101	3	uses	use	VERB
cana-4274	101	4	the	the	DET
cana-4274	101	5	embracenet	embracenet	NOUN
cana-4274	101	6	framework	framework	NOUN
cana-4274	101	7	in	in	ADP
cana-4274	101	8	conjunction	conjunction	NOUN
cana-4274	101	9	with	with	ADP
cana-4274	101	10	a	a	DET
cana-4274	101	11	transformer	transformer	NOUN
cana-4274	101	12	-	-	PUNCT
cana-4274	101	13	based	base	VERB
cana-4274	101	14	cross	cross	NOUN
cana-4274	101	15	modality	modality	NOUN
cana-4274	101	16	fusion	fusion	NOUN
cana-4274	101	17	to	to	PART
cana-4274	101	18	assess	assess	VERB
cana-4274	101	19	emotion	emotion	NOUN
cana-4274	101	20	.	.	PUNCT
cana-4274	102	1	with	with	ADP
cana-4274	102	2	an	an	DET
cana-4274	102	3	accuracy	accuracy	NOUN
cana-4274	102	4	of	of	ADP
cana-4274	102	5	up	up	ADP
cana-4274	102	6	to	to	PART
cana-4274	102	7	65	65	NUM
cana-4274	102	8	%	%	NOUN
cana-4274	102	9	,	,	PUNCT
cana-4274	102	10	the	the	DET
cana-4274	102	11	suggested	suggest	VERB
cana-4274	102	12	multimodal	multimodal	NOUN
cana-4274	102	13	network	network	NOUN
cana-4274	102	14	design	design	NOUN
cana-4274	102	15	far	far	ADV
cana-4274	102	16	outperforms	outperform	NOUN
cana-4274	102	17	all	all	DET
cana-4274	102	18	unimodal	unimodal	ADJ
cana-4274	102	19	algorithms	algorithm	NOUN
cana-4274	102	20	.	.	PUNCT
cana-4274	103	1	zhang	zhang	PROPN
cana-4274	103	2	et	et	PROPN
cana-4274	103	3	al	al	PROPN
cana-4274	103	4	.	.	PUNCT
cana-4274	104	1	[	[	X
cana-4274	104	2	22	22	NUM
cana-4274	104	3	]	]	PUNCT
cana-4274	104	4	proposed	propose	VERB
cana-4274	104	5	an	an	DET
cana-4274	104	6	established	establish	VERB
cana-4274	104	7	deep	deep	ADJ
cana-4274	104	8	fusion	fusion	NOUN
cana-4274	104	9	architecture	architecture	NOUN
cana-4274	104	10	based	base	VERB
cana-4274	104	11	on	on	ADP
cana-4274	104	12	multimodal	multimodal	ADJ
cana-4274	104	13	physiological	physiological	ADJ
cana-4274	104	14	data	datum	NOUN
cana-4274	104	15	in	in	ADP
cana-4274	104	16	order	order	NOUN
cana-4274	104	17	to	to	PART
cana-4274	104	18	recognize	recognize	VERB
cana-4274	104	19	emotions	emotion	NOUN
cana-4274	104	20	.	.	PUNCT
cana-4274	105	1	following	follow	VERB
cana-4274	105	2	the	the	DET
cana-4274	105	3	extraction	extraction	NOUN
cana-4274	105	4	of	of	ADP
cana-4274	105	5	the	the	DET
cana-4274	105	6	most	most	ADV
cana-4274	105	7	useful	useful	ADJ
cana-4274	105	8	features	feature	NOUN
cana-4274	105	9	from	from	ADP
cana-4274	105	10	various	various	ADJ
cana-4274	105	11	communications	communication	NOUN
cana-4274	105	12	on	on	ADP
cana-4274	105	13	applied	apply	VERB
cana-4274	105	14	nonlinear	nonlinear	ADJ
cana-4274	105	15	analysis	analysis	NOUN
cana-4274	105	16	issn	issn	NOUN
cana-4274	105	17	:	:	PUNCT
cana-4274	105	18	1074	1074	NUM
cana-4274	105	19	-	-	PUNCT
cana-4274	105	20	133x	133x	NUM
cana-4274	105	21	vol	vol	NOUN
cana-4274	105	22	32	32	NUM
cana-4274	105	23	no	no	NOUN
cana-4274	105	24	.	.	PUNCT
cana-4274	106	1	9s	9s	NUM
cana-4274	106	2	(	(	PUNCT
cana-4274	106	3	2025	2025	NUM
cana-4274	106	4	)	)	PUNCT
cana-4274	106	5	1681	1681	NUM
cana-4274	106	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	106	7	physiological	physiological	ADJ
cana-4274	106	8	signal	signal	NOUN
cana-4274	106	9	types	type	NOUN
cana-4274	106	10	,	,	PUNCT
cana-4274	106	11	our	our	PRON
cana-4274	106	12	team	team	NOUN
cana-4274	106	13	employ	employ	VERB
cana-4274	106	14	kernel	kernel	NOUN
cana-4274	106	15	matrices	matrix	NOUN
cana-4274	106	16	to	to	PART
cana-4274	106	17	build	build	VERB
cana-4274	106	18	collection	collection	NOUN
cana-4274	106	19	dense	dense	ADJ
cana-4274	106	20	embedded	embed	VERB
cana-4274	106	21	data	datum	NOUN
cana-4274	106	22	of	of	ADP
cana-4274	106	23	multifaceted	multifaceted	ADJ
cana-4274	106	24	features	feature	NOUN
cana-4274	106	25	.	.	PUNCT
cana-4274	107	1	from	from	ADP
cana-4274	107	2	these	these	DET
cana-4274	107	3	ensemble	ensemble	ADJ
cana-4274	107	4	dense	dense	ADJ
cana-4274	107	5	embeddings	embedding	NOUN
cana-4274	107	6	to	to	ADP
cana-4274	107	7	the	the	DET
cana-4274	107	8	developers	developer	NOUN
cana-4274	107	9	use	use	VERB
cana-4274	107	10	a	a	DET
cana-4274	107	11	deep	deep	ADJ
cana-4274	107	12	network	network	NOUN
cana-4274	107	13	architecture	architecture	NOUN
cana-4274	107	14	to	to	PART
cana-4274	107	15	learn	learn	VERB
cana-4274	107	16	task	task	NOUN
cana-4274	107	17	-	-	PUNCT
cana-4274	107	18	specific	specific	ADJ
cana-4274	107	19	illustrations	illustration	NOUN
cana-4274	107	20	for	for	ADP
cana-4274	107	21	every	every	DET
cana-4274	107	22	kind	kind	NOUN
cana-4274	107	23	of	of	ADP
cana-4274	107	24	physiological	physiological	ADJ
cana-4274	107	25	signal	signal	NOUN
cana-4274	107	26	.	.	PUNCT
cana-4274	108	1	lastly	lastly	ADV
cana-4274	108	2	,	,	PUNCT
cana-4274	108	3	created	create	VERB
cana-4274	108	4	representation	representation	NOUN
cana-4274	108	5	are	be	AUX
cana-4274	108	6	fused	fuse	VERB
cana-4274	108	7	using	use	VERB
cana-4274	108	8	a	a	DET
cana-4274	108	9	global	global	ADJ
cana-4274	108	10	fusion	fusion	NOUN
cana-4274	108	11	layer	layer	NOUN
cana-4274	108	12	with	with	ADP
cana-4274	108	13	a	a	DET
cana-4274	108	14	regularization	regularization	NOUN
cana-4274	108	15	term	term	NOUN
cana-4274	108	16	that	that	PRON
cana-4274	108	17	can	can	AUX
cana-4274	108	18	effectively	effectively	ADV
cana-4274	108	19	investigate	investigate	VERB
cana-4274	108	20	the	the	DET
cana-4274	108	21	variety	variety	NOUN
cana-4274	108	22	and	and	CCONJ
cana-4274	108	23	correlation	correlation	NOUN
cana-4274	108	24	among	among	ADP
cana-4274	108	25	all	all	PRON
cana-4274	108	26	of	of	ADP
cana-4274	108	27	the	the	DET
cana-4274	108	28	representations	representation	NOUN
cana-4274	108	29	in	in	ADP
cana-4274	108	30	a	a	DET
cana-4274	108	31	synchronous	synchronous	ADJ
cana-4274	108	32	optimization	optimization	NOUN
cana-4274	108	33	approach	approach	NOUN
cana-4274	108	34	.	.	PUNCT
cana-4274	109	1	chen	chen	PROPN
cana-4274	109	2	et	et	PROPN
cana-4274	109	3	al	al	PROPN
cana-4274	109	4	.	.	PUNCT
cana-4274	110	1	[	[	X
cana-4274	110	2	23	23	NUM
cana-4274	110	3	]	]	PUNCT
cana-4274	110	4	proposed	propose	VERB
cana-4274	110	5	a	a	DET
cana-4274	110	6	multimodal	multimodal	NOUN
cana-4274	110	7	,	,	PUNCT
cana-4274	110	8	dynamic	dynamic	ADJ
cana-4274	110	9	,	,	PUNCT
cana-4274	110	10	multistage	multistage	NOUN
cana-4274	110	11	fusion	fusion	NOUN
cana-4274	110	12	network	network	NOUN
cana-4274	110	13	(	(	PUNCT
cana-4274	110	14	msmdfn	msmdfn	PROPN
cana-4274	110	15	)	)	PUNCT
cana-4274	110	16	.	.	PUNCT
cana-4274	111	1	the	the	DET
cana-4274	111	2	combined	combine	VERB
cana-4274	111	3	representation	representation	NOUN
cana-4274	111	4	based	base	VERB
cana-4274	111	5	on	on	ADP
cana-4274	111	6	cross	cross	ADJ
cana-4274	111	7	-	-	ADJ
cana-4274	111	8	modal	modal	ADJ
cana-4274	111	9	correlation	correlation	NOUN
cana-4274	111	10	is	be	AUX
cana-4274	111	11	achieved	achieve	VERB
cana-4274	111	12	by	by	ADP
cana-4274	111	13	the	the	DET
cana-4274	111	14	msmdfn	msmdfn	NOUN
cana-4274	111	15	.	.	PUNCT
cana-4274	112	1	first	first	ADV
cana-4274	112	2	,	,	PUNCT
cana-4274	112	3	according	accord	VERB
cana-4274	112	4	to	to	ADP
cana-4274	112	5	a	a	DET
cana-4274	112	6	particular	particular	ADJ
cana-4274	112	7	methodology	methodology	NOUN
cana-4274	112	8	,	,	PUNCT
cana-4274	112	9	the	the	DET
cana-4274	112	10	latent	latent	NOUN
cana-4274	112	11	and	and	CCONJ
cana-4274	112	12	crucial	crucial	ADJ
cana-4274	112	13	relationships	relationship	NOUN
cana-4274	112	14	among	among	ADP
cana-4274	112	15	different	different	ADJ
cana-4274	112	16	characteristics	characteristic	NOUN
cana-4274	112	17	that	that	PRON
cana-4274	112	18	are	be	AUX
cana-4274	112	19	independently	independently	ADV
cana-4274	112	20	retrieved	retrieve	VERB
cana-4274	112	21	from	from	ADP
cana-4274	112	22	numerous	numerous	ADJ
cana-4274	112	23	modalities	modality	NOUN
cana-4274	112	24	are	be	AUX
cana-4274	112	25	investigated	investigate	VERB
cana-4274	112	26	.	.	PUNCT
cana-4274	113	1	the	the	DET
cana-4274	113	2	multistage	multistage	NOUN
cana-4274	113	3	fusion	fusion	NOUN
cana-4274	113	4	network	network	NOUN
cana-4274	113	5	is	be	AUX
cana-4274	113	6	then	then	ADV
cana-4274	113	7	created	create	VERB
cana-4274	113	8	by	by	ADP
cana-4274	113	9	utilizing	utilize	VERB
cana-4274	113	10	the	the	DET
cana-4274	113	11	previously	previously	ADV
cana-4274	113	12	established	establish	VERB
cana-4274	113	13	connection	connection	NOUN
cana-4274	113	14	to	to	PART
cana-4274	113	15	divide	divide	VERB
cana-4274	113	16	the	the	DET
cana-4274	113	17	fusion	fusion	NOUN
cana-4274	113	18	process	process	NOUN
cana-4274	113	19	into	into	ADP
cana-4274	113	20	many	many	ADJ
cana-4274	113	21	phases	phase	NOUN
cana-4274	113	22	.	.	PUNCT
cana-4274	114	1	this	this	PRON
cana-4274	114	2	gives	give	VERB
cana-4274	114	3	us	we	PRON
cana-4274	114	4	the	the	DET
cana-4274	114	5	opportunity	opportunity	NOUN
cana-4274	114	6	to	to	PART
cana-4274	114	7	take	take	VERB
cana-4274	114	8	advantage	advantage	NOUN
cana-4274	114	9	of	of	ADP
cana-4274	114	10	far	far	ADV
cana-4274	114	11	more	more	ADV
cana-4274	114	12	precise	precise	ADJ
cana-4274	114	13	unimodal	unimodal	ADJ
cana-4274	114	14	,	,	PUNCT
cana-4274	114	15	bimodal	bimodal	NOUN
cana-4274	114	16	,	,	PUNCT
cana-4274	114	17	and	and	CCONJ
cana-4274	114	18	trimodal	trimodal	NOUN
cana-4274	114	19	interaction	interaction	NOUN
cana-4274	114	20	correlations	correlation	NOUN
cana-4274	114	21	.	.	PUNCT
cana-4274	115	1	the	the	DET
cana-4274	115	2	msmdfn	msmdfn	PROPN
cana-4274	115	3	was	be	AUX
cana-4274	115	4	confirmed	confirm	VERB
cana-4274	115	5	on	on	ADP
cana-4274	115	6	the	the	DET
cana-4274	115	7	multidimensional	multidimensional	ADJ
cana-4274	115	8	benchmark	benchmark	NOUN
cana-4274	115	9	deap	deap	NOUN
cana-4274	115	10	in	in	ADP
cana-4274	115	11	order	order	NOUN
cana-4274	115	12	to	to	PART
cana-4274	115	13	be	be	AUX
cana-4274	115	14	evaluated	evaluate	VERB
cana-4274	115	15	.	.	PUNCT
cana-4274	116	1	liu	liu	PROPN
cana-4274	116	2	et	et	PROPN
cana-4274	116	3	al	al	PROPN
cana-4274	116	4	.	.	PUNCT
cana-4274	117	1	[	[	X
cana-4274	117	2	24	24	NUM
cana-4274	117	3	]	]	PUNCT
cana-4274	117	4	proposed	propose	VERB
cana-4274	117	5	vision	vision	NOUN
cana-4274	117	6	,	,	PUNCT
cana-4274	117	7	voice	voice	NOUN
cana-4274	117	8	,	,	PUNCT
cana-4274	117	9	and	and	CCONJ
cana-4274	117	10	text	text	NOUN
cana-4274	117	11	data	datum	NOUN
cana-4274	117	12	are	be	AUX
cana-4274	117	13	concurrently	concurrently	ADV
cana-4274	117	14	used	use	VERB
cana-4274	117	15	as	as	ADP
cana-4274	117	16	multimodal	multimodal	ADJ
cana-4274	117	17	sources	source	NOUN
cana-4274	117	18	in	in	ADP
cana-4274	117	19	a	a	DET
cana-4274	117	20	unique	unique	ADJ
cana-4274	117	21	multimodal	multimodal	NOUN
cana-4274	117	22	emotion	emotion	NOUN
cana-4274	117	23	identification	identification	NOUN
cana-4274	117	24	framework	framework	NOUN
cana-4274	117	25	known	know	VERB
cana-4274	117	26	as	as	ADP
cana-4274	117	27	multimodal	multimodal	NOUN
cana-4274	117	28	emotion	emotion	NOUN
cana-4274	117	29	recognition	recognition	NOUN
cana-4274	117	30	based	base	VERB
cana-4274	117	31	on	on	ADP
cana-4274	117	32	cascaded	cascade	VERB
cana-4274	117	33	multichannel	multichannel	NOUN
cana-4274	117	34	and	and	CCONJ
cana-4274	117	35	hierarchical	hierarchical	ADJ
cana-4274	117	36	fusion	fusion	NOUN
cana-4274	117	37	(	(	PUNCT
cana-4274	117	38	cmc	cmc	NOUN
cana-4274	117	39	-	-	PUNCT
cana-4274	117	40	hf	hf	NOUN
cana-4274	117	41	)	)	PUNCT
cana-4274	117	42	.	.	PUNCT
cana-4274	118	1	in	in	ADP
cana-4274	118	2	order	order	NOUN
cana-4274	118	3	to	to	PART
cana-4274	118	4	increase	increase	VERB
cana-4274	118	5	the	the	DET
cana-4274	118	6	accuracy	accuracy	NOUN
cana-4274	118	7	of	of	ADP
cana-4274	118	8	recognition	recognition	NOUN
cana-4274	118	9	and	and	CCONJ
cana-4274	118	10	promote	promote	VERB
cana-4274	118	11	deeper	deep	ADJ
cana-4274	118	12	information	information	NOUN
cana-4274	118	13	extraction	extraction	NOUN
cana-4274	118	14	within	within	ADP
cana-4274	118	15	each	each	DET
cana-4274	118	16	modality	modality	NOUN
cana-4274	118	17	,	,	PUNCT
cana-4274	118	18	three	three	NUM
cana-4274	118	19	cascaded	cascade	VERB
cana-4274	118	20	channels	channel	NOUN
cana-4274	118	21	based	base	VERB
cana-4274	118	22	on	on	ADP
cana-4274	118	23	deep	deep	ADJ
cana-4274	118	24	learning	learning	NOUN
cana-4274	118	25	technology	technology	NOUN
cana-4274	118	26	first	first	ADV
cana-4274	118	27	execute	execute	VERB
cana-4274	118	28	feature	feature	NOUN
cana-4274	118	29	extraction	extraction	NOUN
cana-4274	118	30	for	for	ADP
cana-4274	118	31	the	the	DET
cana-4274	118	32	three	three	NUM
cana-4274	118	33	modalities	modality	NOUN
cana-4274	118	34	independently	independently	ADV
cana-4274	118	35	.	.	PUNCT
cana-4274	119	1	second	second	ADJ
cana-4274	119	2	,	,	PUNCT
cana-4274	119	3	to	to	PART
cana-4274	119	4	encourage	encourage	VERB
cana-4274	119	5	intermodal	intermodal	ADJ
cana-4274	119	6	interactions	interaction	NOUN
cana-4274	119	7	between	between	ADP
cana-4274	119	8	the	the	DET
cana-4274	119	9	three	three	NUM
cana-4274	119	10	senses	sense	NOUN
cana-4274	119	11	and	and	CCONJ
cana-4274	119	12	enhance	enhance	VERB
cana-4274	119	13	identification	identification	NOUN
cana-4274	119	14	and	and	CCONJ
cana-4274	119	15	classification	classification	NOUN
cana-4274	119	16	accuracy	accuracy	NOUN
cana-4274	119	17	,	,	PUNCT
cana-4274	119	18	a	a	DET
cana-4274	119	19	refined	refined	ADJ
cana-4274	119	20	hierarchical	hierarchical	ADJ
cana-4274	119	21	fusion	fusion	NOUN
cana-4274	119	22	module	module	NOUN
cana-4274	119	23	is	be	AUX
cana-4274	119	24	presented	present	VERB
cana-4274	119	25	.	.	PUNCT
cana-4274	120	1	lastly	lastly	ADV
cana-4274	120	2	,	,	PUNCT
cana-4274	120	3	various	various	ADJ
cana-4274	120	4	tests	test	NOUN
cana-4274	120	5	are	be	AUX
cana-4274	120	6	run	run	VERB
cana-4274	120	7	to	to	PART
cana-4274	120	8	assess	assess	VERB
cana-4274	120	9	the	the	DET
cana-4274	120	10	two	two	NUM
cana-4274	120	11	benchmark	benchmark	ADJ
cana-4274	120	12	datasets	dataset	NOUN
cana-4274	120	13	,	,	PUNCT
cana-4274	120	14	iemocap	iemocap	NOUN
cana-4274	120	15	and	and	CCONJ
cana-4274	120	16	cmu	cmu	NOUN
cana-4274	120	17	-	-	PUNCT
cana-4274	120	18	mosi	mosi	NOUN
cana-4274	120	19	,	,	PUNCT
cana-4274	120	20	in	in	ADP
cana-4274	120	21	order	order	NOUN
cana-4274	120	22	to	to	PART
cana-4274	120	23	confirm	confirm	VERB
cana-4274	120	24	the	the	DET
cana-4274	120	25	efficacy	efficacy	NOUN
cana-4274	120	26	of	of	ADP
cana-4274	120	27	the	the	DET
cana-4274	120	28	developed	develop	VERB
cana-4274	120	29	cmc	cmc	NOUN
cana-4274	120	30	-	-	PUNCT
cana-4274	120	31	hf	hf	NOUN
cana-4274	120	32	paradigm	paradigm	NOUN
cana-4274	120	33	.	.	PUNCT
cana-4274	121	1	despite	despite	SCONJ
cana-4274	121	2	significant	significant	ADJ
cana-4274	121	3	advancements	advancement	NOUN
cana-4274	121	4	in	in	ADP
cana-4274	121	5	multimodal	multimodal	ADJ
cana-4274	121	6	emotion	emotion	NOUN
cana-4274	121	7	recognition	recognition	NOUN
cana-4274	121	8	,	,	PUNCT
cana-4274	121	9	there	there	PRON
cana-4274	121	10	is	be	VERB
cana-4274	121	11	a	a	DET
cana-4274	121	12	research	research	NOUN
cana-4274	121	13	gap	gap	NOUN
cana-4274	121	14	in	in	ADP
cana-4274	121	15	exploring	explore	VERB
cana-4274	121	16	the	the	DET
cana-4274	121	17	robustness	robustness	NOUN
cana-4274	121	18	and	and	CCONJ
cana-4274	121	19	comprehensive	comprehensive	ADJ
cana-4274	121	20	performance	performance	NOUN
cana-4274	121	21	comparisons	comparison	NOUN
cana-4274	121	22	of	of	ADP
cana-4274	121	23	different	different	ADJ
cana-4274	121	24	fusion	fusion	NOUN
cana-4274	121	25	techniques	technique	NOUN
cana-4274	121	26	.	.	PUNCT
cana-4274	122	1	current	current	ADJ
cana-4274	122	2	studies	study	NOUN
cana-4274	122	3	often	often	ADV
cana-4274	122	4	focus	focus	VERB
cana-4274	122	5	on	on	ADP
cana-4274	122	6	novel	novel	ADJ
cana-4274	122	7	fusion	fusion	NOUN
cana-4274	122	8	strategies	strategy	NOUN
cana-4274	122	9	or	or	CCONJ
cana-4274	122	10	individual	individual	ADJ
cana-4274	122	11	modalities	modality	NOUN
cana-4274	122	12	but	but	CCONJ
cana-4274	122	13	lack	lack	VERB
cana-4274	122	14	systematic	systematic	ADJ
cana-4274	122	15	evaluations	evaluation	NOUN
cana-4274	122	16	across	across	ADP
cana-4274	122	17	diverse	diverse	ADJ
cana-4274	122	18	datasets	dataset	NOUN
cana-4274	122	19	and	and	CCONJ
cana-4274	122	20	noisy	noisy	ADJ
cana-4274	122	21	conditions	condition	NOUN
cana-4274	122	22	.	.	PUNCT
cana-4274	123	1	additionally	additionally	ADV
cana-4274	123	2	,	,	PUNCT
cana-4274	123	3	the	the	DET
cana-4274	123	4	impact	impact	NOUN
cana-4274	123	5	of	of	ADP
cana-4274	123	6	self	self	NOUN
cana-4274	123	7	-	-	PUNCT
cana-4274	123	8	supervised	supervise	VERB
cana-4274	123	9	learning	learning	NOUN
cana-4274	123	10	(	(	PUNCT
cana-4274	123	11	ssl	ssl	ADJ
cana-4274	123	12	)	)	PUNCT
cana-4274	123	13	models	model	NOUN
cana-4274	123	14	and	and	CCONJ
cana-4274	123	15	transformer	transformer	NOUN
cana-4274	123	16	-	-	PUNCT
cana-4274	123	17	based	base	VERB
cana-4274	123	18	architectures	architecture	NOUN
cana-4274	123	19	on	on	ADP
cana-4274	123	20	multimodal	multimodal	ADJ
cana-4274	123	21	fusion	fusion	NOUN
cana-4274	123	22	remains	remain	VERB
cana-4274	123	23	underexplored	underexplored	ADJ
cana-4274	123	24	.	.	PUNCT
cana-4274	124	1	moreover	moreover	ADV
cana-4274	124	2	,	,	PUNCT
cana-4274	124	3	there	there	PRON
cana-4274	124	4	is	be	VERB
cana-4274	124	5	a	a	DET
cana-4274	124	6	need	need	NOUN
cana-4274	124	7	for	for	ADP
cana-4274	124	8	standardized	standardized	ADJ
cana-4274	124	9	benchmarks	benchmark	NOUN
cana-4274	124	10	to	to	PART
cana-4274	124	11	facilitate	facilitate	VERB
cana-4274	124	12	fair	fair	ADJ
cana-4274	124	13	comparisons	comparison	NOUN
cana-4274	124	14	and	and	CCONJ
cana-4274	124	15	validate	validate	VERB
cana-4274	124	16	the	the	DET
cana-4274	124	17	generalizability	generalizability	NOUN
cana-4274	124	18	of	of	ADP
cana-4274	124	19	proposed	propose	VERB
cana-4274	124	20	models	model	NOUN
cana-4274	124	21	across	across	ADP
cana-4274	124	22	various	various	ADJ
cana-4274	124	23	emotional	emotional	ADJ
cana-4274	124	24	states	state	NOUN
cana-4274	124	25	and	and	CCONJ
cana-4274	124	26	contexts	contexts	NOUN
cana-4274	124	27	.	.	PUNCT
cana-4274	125	1	3	3	X
cana-4274	125	2	.	.	NUM
cana-4274	125	3	proposed	propose	VERB
cana-4274	125	4	method	method	NOUN
cana-4274	125	5	the	the	DET
cana-4274	125	6	proposed	propose	VERB
cana-4274	125	7	methodology	methodology	NOUN
cana-4274	125	8	integrates	integrate	VERB
cana-4274	125	9	advanced	advanced	ADJ
cana-4274	125	10	techniques	technique	NOUN
cana-4274	125	11	tailored	tailor	VERB
cana-4274	125	12	to	to	ADP
cana-4274	125	13	each	each	DET
cana-4274	125	14	modality	modality	NOUN
cana-4274	125	15	for	for	ADP
cana-4274	125	16	multimodal	multimodal	ADJ
cana-4274	125	17	emotion	emotion	NOUN
cana-4274	125	18	recognition	recognition	NOUN
cana-4274	125	19	.	.	PUNCT
cana-4274	126	1	textual	textual	ADJ
cana-4274	126	2	contextual	contextual	ADJ
cana-4274	126	3	information	information	NOUN
cana-4274	126	4	is	be	AUX
cana-4274	126	5	captured	capture	VERB
cana-4274	126	6	using	use	VERB
cana-4274	126	7	the	the	DET
cana-4274	126	8	ana	ana	NOUN
cana-4274	126	9	,	,	PUNCT
cana-4274	126	10	while	while	SCONJ
cana-4274	126	11	mfcc	mfcc	NOUN
cana-4274	126	12	are	be	AUX
cana-4274	126	13	extracted	extract	VERB
cana-4274	126	14	for	for	ADP
cana-4274	126	15	audio	audio	ADJ
cana-4274	126	16	data	datum	NOUN
cana-4274	126	17	,	,	PUNCT
cana-4274	126	18	and	and	CCONJ
cana-4274	126	19	squeezenet	squeezenet	NOUN
cana-4274	126	20	is	be	AUX
cana-4274	126	21	working	work	VERB
cana-4274	126	22	for	for	ADP
cana-4274	126	23	visual	visual	ADJ
cana-4274	126	24	feature	feature	NOUN
cana-4274	126	25	extraction	extraction	NOUN
cana-4274	126	26	.	.	PUNCT
cana-4274	127	1	these	these	DET
cana-4274	127	2	features	feature	NOUN
cana-4274	127	3	are	be	AUX
cana-4274	127	4	then	then	ADV
cana-4274	127	5	fused	fuse	VERB
cana-4274	127	6	use	use	VERB
cana-4274	127	7	a	a	DET
cana-4274	127	8	novel	novel	ADJ
cana-4274	127	9	multimodal	multimodal	NOUN
cana-4274	127	10	fusion	fusion	NOUN
cana-4274	127	11	strategy	strategy	NOUN
cana-4274	127	12	to	to	PART
cana-4274	127	13	enhance	enhance	VERB
cana-4274	127	14	the	the	DET
cana-4274	127	15	overall	overall	ADJ
cana-4274	127	16	representation	representation	NOUN
cana-4274	127	17	of	of	ADP
cana-4274	127	18	emotional	emotional	ADJ
cana-4274	127	19	cues	cue	NOUN
cana-4274	127	20	.	.	PUNCT
cana-4274	128	1	emotion	emotion	NOUN
cana-4274	128	2	classification	classification	NOUN
cana-4274	128	3	is	be	AUX
cana-4274	128	4	performed	perform	VERB
cana-4274	128	5	using	use	VERB
cana-4274	128	6	the	the	DET
cana-4274	128	7	capsule	capsule	ADJ
cana-4274	128	8	net	net	ADJ
cana-4274	128	9	architecture	architecture	NOUN
cana-4274	128	10	,	,	PUNCT
cana-4274	128	11	known	know	VERB
cana-4274	128	12	for	for	ADP
cana-4274	128	13	its	its	PRON
cana-4274	128	14	ability	ability	NOUN
cana-4274	128	15	to	to	PART
cana-4274	128	16	capture	capture	VERB
cana-4274	128	17	hierarchical	hierarchical	ADJ
cana-4274	128	18	relationships	relationship	NOUN
cana-4274	128	19	and	and	CCONJ
cana-4274	128	20	spatial	spatial	ADJ
cana-4274	128	21	hierarchies	hierarchy	NOUN
cana-4274	128	22	within	within	ADP
cana-4274	128	23	data	datum	NOUN
cana-4274	128	24	.	.	PUNCT
cana-4274	129	1	furthermore	furthermore	ADV
cana-4274	129	2	,	,	PUNCT
cana-4274	129	3	hyperparameter	hyperparameter	NOUN
cana-4274	129	4	tuning	tuning	NOUN
cana-4274	129	5	is	be	AUX
cana-4274	129	6	conducted	conduct	VERB
cana-4274	129	7	using	use	VERB
cana-4274	129	8	the	the	DET
cana-4274	129	9	scso	scso	NOUN
cana-4274	129	10	algorithm	algorithm	NOUN
cana-4274	129	11	,	,	PUNCT
cana-4274	129	12	iteratively	iteratively	ADV
cana-4274	129	13	refining	refine	VERB
cana-4274	129	14	candidate	candidate	NOUN
cana-4274	129	15	solutions	solution	NOUN
cana-4274	129	16	to	to	PART
cana-4274	129	17	achieve	achieve	VERB
cana-4274	129	18	optimal	optimal	ADJ
cana-4274	129	19	configurations	configuration	NOUN
cana-4274	129	20	.	.	PUNCT
cana-4274	130	1	through	through	ADP
cana-4274	130	2	this	this	DET
cana-4274	130	3	comprehensive	comprehensive	ADJ
cana-4274	130	4	approach	approach	NOUN
cana-4274	130	5	,	,	PUNCT
cana-4274	130	6	we	we	PRON
cana-4274	130	7	aim	aim	VERB
cana-4274	130	8	to	to	PART
cana-4274	130	9	significantly	significantly	ADV
cana-4274	130	10	communications	communication	NOUN
cana-4274	130	11	on	on	ADP
cana-4274	130	12	applied	apply	VERB
cana-4274	130	13	nonlinear	nonlinear	ADJ
cana-4274	130	14	analysis	analysis	NOUN
cana-4274	130	15	issn	issn	NOUN
cana-4274	130	16	:	:	PUNCT
cana-4274	130	17	1074	1074	NUM
cana-4274	130	18	-	-	PUNCT
cana-4274	130	19	133x	133x	NUM
cana-4274	130	20	vol	vol	NOUN
cana-4274	130	21	32	32	NUM
cana-4274	130	22	no	no	NOUN
cana-4274	130	23	.	.	PUNCT
cana-4274	131	1	9s	9s	NUM
cana-4274	131	2	(	(	PUNCT
cana-4274	131	3	2025	2025	NUM
cana-4274	131	4	)	)	PUNCT
cana-4274	131	5	1682	1682	NUM
cana-4274	131	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	131	7	improve	improve	VERB
cana-4274	131	8	the	the	DET
cana-4274	131	9	accuracy	accuracy	NOUN
cana-4274	131	10	and	and	CCONJ
cana-4274	131	11	robustness	robustness	NOUN
cana-4274	131	12	of	of	ADP
cana-4274	131	13	multimodal	multimodal	ADJ
cana-4274	131	14	emotion	emotion	NOUN
cana-4274	131	15	recognition	recognition	NOUN
cana-4274	131	16	.	.	PUNCT
cana-4274	132	1	figure	figure	NOUN
cana-4274	132	2	1	1	NUM
cana-4274	132	3	shows	show	VERB
cana-4274	132	4	flow	flow	NOUN
cana-4274	132	5	diagram	diagram	NOUN
cana-4274	132	6	of	of	ADP
cana-4274	132	7	multimodal	multimodal	ADJ
cana-4274	132	8	emotion	emotion	NOUN
cana-4274	132	9	recognition	recognition	NOUN
cana-4274	132	10	.	.	PUNCT
cana-4274	133	1	figure	figure	NOUN
cana-4274	133	2	1	1	NUM
cana-4274	133	3	:	:	PUNCT
cana-4274	133	4	flow	flow	NOUN
cana-4274	133	5	diagram	diagram	NOUN
cana-4274	133	6	of	of	ADP
cana-4274	133	7	multimodal	multimodal	ADJ
cana-4274	133	8	emotion	emotion	NOUN
cana-4274	133	9	recognition	recognition	NOUN
cana-4274	133	10	3.1	3.1	NUM
cana-4274	133	11	.	.	PUNCT
cana-4274	134	1	preprocessing	preprocesse	VERB
cana-4274	134	2	3.1.1	3.1.1	NUM
cana-4274	134	3	.	.	PUNCT
cana-4274	135	1	preprocessing	preprocesse	VERB
cana-4274	135	2	for	for	ADP
cana-4274	135	3	text	text	NOUN
cana-4274	135	4	data	datum	NOUN
cana-4274	135	5	entering	enter	VERB
cana-4274	135	6	model	model	NOUN
cana-4274	135	7	and	and	CCONJ
cana-4274	135	8	achieving	achieve	VERB
cana-4274	135	9	the	the	DET
cana-4274	135	10	best	good	ADJ
cana-4274	135	11	output	output	NOUN
cana-4274	135	12	uses	use	VERB
cana-4274	135	13	the	the	DET
cana-4274	135	14	data	datum	NOUN
cana-4274	135	15	prepared	prepare	VERB
cana-4274	135	16	by	by	ADP
cana-4274	135	17	preprocessing	preprocesse	VERB
cana-4274	135	18	.	.	PUNCT
cana-4274	136	1	preprocessing	preprocesse	VERB
cana-4274	136	2	steps	step	NOUN
cana-4274	136	3	included	include	VERB
cana-4274	136	4	removing	remove	VERB
cana-4274	136	5	segmentation	segmentation	NOUN
cana-4274	136	6	,	,	PUNCT
cana-4274	136	7	stemming	stem	VERB
cana-4274	136	8	,	,	PUNCT
cana-4274	136	9	stop	stop	VERB
cana-4274	136	10	word	word	NOUN
cana-4274	136	11	removal	removal	NOUN
cana-4274	136	12	,	,	PUNCT
cana-4274	136	13	tokenization	tokenization	NOUN
cana-4274	136	14	,	,	PUNCT
cana-4274	136	15	null	null	ADJ
cana-4274	136	16	value	value	NOUN
cana-4274	136	17	,	,	PUNCT
cana-4274	136	18	case	case	NOUN
cana-4274	136	19	folding	folding	NOUN
cana-4274	136	20	,	,	PUNCT
cana-4274	136	21	and	and	CCONJ
cana-4274	136	22	special	special	ADJ
cana-4274	136	23	characters	character	NOUN
cana-4274	136	24	.	.	PUNCT
cana-4274	137	1	this	this	PRON
cana-4274	137	2	involves	involve	VERB
cana-4274	137	3	transforming	transform	VERB
cana-4274	137	4	the	the	DET
cana-4274	137	5	raw	raw	ADJ
cana-4274	137	6	data	datum	NOUN
cana-4274	137	7	into	into	ADP
cana-4274	137	8	a	a	DET
cana-4274	137	9	clear	clear	ADJ
cana-4274	137	10	and	and	CCONJ
cana-4274	137	11	understandable	understandable	ADJ
cana-4274	137	12	format	format	NOUN
cana-4274	137	13	,	,	PUNCT
cana-4274	137	14	which	which	PRON
cana-4274	137	15	is	be	AUX
cana-4274	137	16	a	a	DET
cana-4274	137	17	data	data	NOUN
cana-4274	137	18	mining	mining	NOUN
cana-4274	137	19	technique	technique	NOUN
cana-4274	137	20	by	by	ADP
cana-4274	137	21	preprocessing	preprocesse	VERB
cana-4274	137	22	.	.	PUNCT
cana-4274	138	1	one	one	NUM
cana-4274	138	2	important	important	ADJ
cana-4274	138	3	step	step	NOUN
cana-4274	138	4	that	that	PRON
cana-4274	138	5	should	should	AUX
cana-4274	138	6	be	be	AUX
cana-4274	138	7	taken	take	VERB
cana-4274	138	8	into	into	ADP
cana-4274	138	9	consideration	consideration	NOUN
cana-4274	138	10	before	before	ADP
cana-4274	138	11	integrating	integrate	VERB
cana-4274	138	12	data	datum	NOUN
cana-4274	138	13	into	into	ADP
cana-4274	138	14	machine	machine	NOUN
cana-4274	138	15	learning	learn	VERB
cana-4274	138	16	algorithms	algorithm	NOUN
cana-4274	138	17	is	be	AUX
cana-4274	138	18	preparing	prepare	VERB
cana-4274	138	19	the	the	DET
cana-4274	138	20	dataset	dataset	NOUN
cana-4274	138	21	to	to	PART
cana-4274	138	22	be	be	AUX
cana-4274	138	23	studied	study	VERB
cana-4274	138	24	in	in	ADP
cana-4274	138	25	a	a	DET
cana-4274	138	26	textual	textual	ADJ
cana-4274	138	27	manner	manner	NOUN
cana-4274	138	28	.	.	PUNCT
cana-4274	139	1	numerous	numerous	ADJ
cana-4274	139	2	stages	stage	NOUN
cana-4274	139	3	were	be	AUX
cana-4274	139	4	recorded	record	VERB
cana-4274	139	5	during	during	ADP
cana-4274	139	6	the	the	DET
cana-4274	139	7	procedure	procedure	NOUN
cana-4274	139	8	.	.	PUNCT
cana-4274	140	1	the	the	DET
cana-4274	140	2	empty	empty	ADJ
cana-4274	140	3	rows	row	NOUN
cana-4274	140	4	and	and	CCONJ
cana-4274	140	5	"	"	PUNCT
cana-4274	140	6	reviews	review	NOUN
cana-4274	140	7	"	"	PUNCT
cana-4274	140	8	column	column	NOUN
cana-4274	140	9	were	be	AUX
cana-4274	140	10	dropped	drop	VERB
cana-4274	140	11	by	by	ADP
cana-4274	140	12	first	first	ADV
cana-4274	140	13	.	.	PUNCT
cana-4274	141	1	additionally	additionally	ADV
cana-4274	141	2	,	,	PUNCT
cana-4274	141	3	the	the	DET
cana-4274	141	4	natural	natural	ADJ
cana-4274	141	5	language	language	NOUN
cana-4274	141	6	toolkit	toolkit	NOUN
cana-4274	141	7	library	library	NOUN
cana-4274	141	8	(	(	PUNCT
cana-4274	141	9	nltk	nltk	PROPN
cana-4274	141	10	)	)	PUNCT
cana-4274	141	11	utilized	utilize	VERB
cana-4274	141	12	,	,	PUNCT
cana-4274	141	13	which	which	PRON
cana-4274	141	14	is	be	AUX
cana-4274	141	15	a	a	DET
cana-4274	141	16	library	library	NOUN
cana-4274	141	17	related	relate	VERB
cana-4274	141	18	to	to	ADP
cana-4274	141	19	natural	natural	ADJ
cana-4274	141	20	language	language	NOUN
cana-4274	141	21	processing	processing	NOUN
cana-4274	141	22	(	(	PUNCT
cana-4274	141	23	nlp	nlp	NOUN
cana-4274	141	24	)	)	PUNCT
cana-4274	141	25	.	.	PUNCT
cana-4274	142	1	the	the	DET
cana-4274	142	2	evaluation	evaluation	NOUN
cana-4274	142	3	performs	perform	VERB
cana-4274	142	4	well	well	ADV
cana-4274	142	5	,	,	PUNCT
cana-4274	142	6	but	but	CCONJ
cana-4274	142	7	it	it	PRON
cana-4274	142	8	should	should	AUX
cana-4274	142	9	be	be	AUX
cana-4274	142	10	noted	note	VERB
cana-4274	142	11	that	that	SCONJ
cana-4274	142	12	spelling	spelling	NOUN
cana-4274	142	13	modifications	modification	NOUN
cana-4274	142	14	can	can	AUX
cana-4274	142	15	occasionally	occasionally	ADV
cana-4274	142	16	change	change	VERB
cana-4274	142	17	the	the	DET
cana-4274	142	18	meaning	meaning	NOUN
cana-4274	142	19	of	of	ADP
cana-4274	142	20	a	a	DET
cana-4274	142	21	sentence	sentence	NOUN
cana-4274	142	22	.	.	PUNCT
cana-4274	143	1	the	the	DET
cana-4274	143	2	best	good	ADJ
cana-4274	143	3	way	way	NOUN
cana-4274	143	4	to	to	PART
cana-4274	143	5	detect	detect	VERB
cana-4274	143	6	a	a	DET
cana-4274	143	7	dropped	drop	VERB
cana-4274	143	8	word	word	NOUN
cana-4274	143	9	and	and	CCONJ
cana-4274	143	10	have	have	VERB
cana-4274	143	11	the	the	DET
cana-4274	143	12	spellchecker	spellchecker	NOUN
cana-4274	143	13	suggest	suggest	VERB
cana-4274	143	14	an	an	DET
cana-4274	143	15	amendment	amendment	NOUN
cana-4274	143	16	is	be	AUX
cana-4274	143	17	to	to	PART
cana-4274	143	18	use	use	VERB
cana-4274	143	19	the	the	DET
cana-4274	143	20	most	most	ADV
cana-4274	143	21	appropriate	appropriate	ADJ
cana-4274	143	22	correction	correction	NOUN
cana-4274	143	23	method	method	NOUN
cana-4274	143	24	,	,	PUNCT
cana-4274	143	25	which	which	PRON
cana-4274	143	26	is	be	AUX
cana-4274	143	27	tokenization	tokenization	NOUN
cana-4274	143	28	.	.	PUNCT
cana-4274	144	1	tokenization	tokenization	NOUN
cana-4274	144	2	,	,	PUNCT
cana-4274	144	3	also	also	ADV
cana-4274	144	4	is	be	AUX
cana-4274	144	5	the	the	DET
cana-4274	144	6	process	process	NOUN
cana-4274	144	7	of	of	ADP
cana-4274	144	8	turning	turn	VERB
cana-4274	144	9	private	private	ADJ
cana-4274	144	10	information	information	NOUN
cana-4274	144	11	into	into	ADP
cana-4274	144	12	tokens	token	NOUN
cana-4274	144	13	.	.	PUNCT
cana-4274	145	1	the	the	DET
cana-4274	145	2	text	text	NOUN
cana-4274	145	3	data	datum	NOUN
cana-4274	145	4	is	be	AUX
cana-4274	145	5	converted	convert	VERB
cana-4274	145	6	into	into	ADP
cana-4274	145	7	tokens	token	NOUN
cana-4274	145	8	and	and	CCONJ
cana-4274	145	9	sentiment	sentiment	NOUN
cana-4274	145	10	evaluation	evaluation	NOUN
cana-4274	145	11	is	be	AUX
cana-4274	145	12	used	use	VERB
cana-4274	145	13	to	to	PART
cana-4274	145	14	filter	filter	VERB
cana-4274	145	15	out	out	ADP
cana-4274	145	16	any	any	DET
cana-4274	145	17	extraneous	extraneous	ADJ
cana-4274	145	18	tokens	token	NOUN
cana-4274	145	19	.	.	PUNCT
cana-4274	146	1	stop	stop	VERB
cana-4274	146	2	words	word	NOUN
cana-4274	146	3	are	be	AUX
cana-4274	146	4	words	word	NOUN
cana-4274	146	5	that	that	PRON
cana-4274	146	6	are	be	AUX
cana-4274	146	7	deemed	deem	VERB
cana-4274	146	8	unhelpful	unhelpful	ADJ
cana-4274	146	9	in	in	ADP
cana-4274	146	10	the	the	DET
cana-4274	146	11	context	context	NOUN
cana-4274	146	12	of	of	ADP
cana-4274	146	13	sentiment	sentiment	NOUN
cana-4274	146	14	assessment	assessment	NOUN
cana-4274	146	15	.	.	PUNCT
cana-4274	147	1	put	put	VERB
cana-4274	147	2	otherwise	otherwise	ADV
cana-4274	147	3	,	,	PUNCT
cana-4274	147	4	eliminating	eliminate	VERB
cana-4274	147	5	such	such	ADJ
cana-4274	147	6	terms	term	NOUN
cana-4274	147	7	will	will	AUX
cana-4274	147	8	not	not	PART
cana-4274	147	9	impact	impact	VERB
cana-4274	147	10	the	the	DET
cana-4274	147	11	model	model	NOUN
cana-4274	147	12	's	's	PART
cana-4274	147	13	output	output	NOUN
cana-4274	147	14	or	or	CCONJ
cana-4274	147	15	the	the	DET
cana-4274	147	16	evaluation	evaluation	NOUN
cana-4274	147	17	's	's	PART
cana-4274	147	18	recall	recall	NOUN
cana-4274	147	19	or	or	CCONJ
cana-4274	147	20	accuracy	accuracy	NOUN
cana-4274	147	21	.	.	PUNCT
cana-4274	148	1	they	they	PRON
cana-4274	148	2	do	do	AUX
cana-4274	148	3	n't	not	PART
cana-4274	148	4	help	help	VERB
cana-4274	148	5	the	the	DET
cana-4274	148	6	reader	reader	NOUN
cana-4274	148	7	comprehend	comprehend	VERB
cana-4274	148	8	the	the	DET
cana-4274	148	9	sentence	sentence	NOUN
cana-4274	148	10	's	's	PART
cana-4274	148	11	or	or	CCONJ
cana-4274	148	12	review	review	NOUN
cana-4274	148	13	's	's	PART
cana-4274	148	14	actual	actual	ADJ
cana-4274	148	15	meaning	meaning	NOUN
cana-4274	148	16	.	.	PUNCT
cana-4274	149	1	because	because	SCONJ
cana-4274	149	2	of	of	ADP
cana-4274	149	3	their	their	PRON
cana-4274	149	4	size	size	NOUN
cana-4274	149	5	,	,	PUNCT
cana-4274	149	6	communications	communication	NOUN
cana-4274	149	7	on	on	ADP
cana-4274	149	8	applied	apply	VERB
cana-4274	149	9	nonlinear	nonlinear	ADJ
cana-4274	149	10	analysis	analysis	NOUN
cana-4274	149	11	issn	issn	NOUN
cana-4274	149	12	:	:	PUNCT
cana-4274	149	13	1074	1074	NUM
cana-4274	149	14	-	-	PUNCT
cana-4274	149	15	133x	133x	NUM
cana-4274	149	16	vol	vol	NOUN
cana-4274	149	17	32	32	NUM
cana-4274	149	18	no	no	NOUN
cana-4274	149	19	.	.	PUNCT
cana-4274	150	1	9s	9s	NUM
cana-4274	150	2	(	(	PUNCT
cana-4274	150	3	2025	2025	NUM
cana-4274	150	4	)	)	PUNCT
cana-4274	150	5	1683	1683	NUM
cana-4274	150	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	150	7	really	really	ADV
cana-4274	150	8	big	big	ADJ
cana-4274	150	9	databases	database	NOUN
cana-4274	150	10	would	would	AUX
cana-4274	150	11	require	require	VERB
cana-4274	150	12	more	more	ADJ
cana-4274	150	13	processing	processing	NOUN
cana-4274	150	14	power	power	NOUN
cana-4274	150	15	to	to	PART
cana-4274	150	16	maintain	maintain	VERB
cana-4274	150	17	.	.	PUNCT
cana-4274	151	1	stop	stop	VERB
cana-4274	151	2	words	word	NOUN
cana-4274	151	3	are	be	AUX
cana-4274	151	4	eliminated	eliminate	VERB
cana-4274	151	5	using	use	VERB
cana-4274	151	6	two	two	NUM
cana-4274	151	7	techniques	technique	NOUN
cana-4274	151	8	.	.	PUNCT
cana-4274	152	1	the	the	DET
cana-4274	152	2	first	first	ADJ
cana-4274	152	3	technique	technique	NOUN
cana-4274	152	4	extracted	extract	VERB
cana-4274	152	5	stop	stop	NOUN
cana-4274	152	6	words	word	NOUN
cana-4274	152	7	(	(	PUNCT
cana-4274	152	8	e.g.	e.g.	ADV
cana-4274	152	9	,	,	PUNCT
cana-4274	152	10	a	a	X
cana-4274	152	11	,	,	PUNCT
cana-4274	152	12	it	it	PRON
cana-4274	152	13	,	,	PUNCT
cana-4274	152	14	is	be	AUX
cana-4274	152	15	,	,	PUNCT
cana-4274	152	16	that	that	SCONJ
cana-4274	152	17	,	,	PUNCT
cana-4274	152	18	and	and	CCONJ
cana-4274	152	19	but	but	CCONJ
cana-4274	152	20	)	)	PUNCT
cana-4274	152	21	from	from	ADP
cana-4274	152	22	the	the	DET
cana-4274	152	23	reviews	review	NOUN
cana-4274	152	24	by	by	ADP
cana-4274	152	25	using	use	VERB
cana-4274	152	26	the	the	DET
cana-4274	152	27	nltk	nltk	PROPN
cana-4274	152	28	package	package	NOUN
cana-4274	152	29	to	to	PART
cana-4274	152	30	identify	identify	VERB
cana-4274	152	31	the	the	DET
cana-4274	152	32	tokens	token	NOUN
cana-4274	152	33	containing	contain	VERB
cana-4274	152	34	keywords	keyword	NOUN
cana-4274	152	35	.	.	PUNCT
cana-4274	153	1	if	if	SCONJ
cana-4274	153	2	an	an	DET
cana-4274	153	3	expression	expression	NOUN
cana-4274	153	4	was	be	AUX
cana-4274	153	5	removed	remove	VERB
cana-4274	153	6	altogether	altogether	ADV
cana-4274	153	7	from	from	ADP
cana-4274	153	8	the	the	DET
cana-4274	153	9	nltk	nltk	PROPN
cana-4274	153	10	stop	stop	VERB
cana-4274	153	11	words	word	NOUN
cana-4274	153	12	collection	collection	NOUN
cana-4274	153	13	due	due	ADP
cana-4274	153	14	to	to	ADP
cana-4274	153	15	low	low	ADJ
cana-4274	153	16	usage	usage	NOUN
cana-4274	153	17	,	,	PUNCT
cana-4274	153	18	utilize	utilize	VERB
cana-4274	153	19	the	the	DET
cana-4274	153	20	second	second	ADJ
cana-4274	153	21	technique	technique	NOUN
cana-4274	153	22	,	,	PUNCT
cana-4274	153	23	which	which	PRON
cana-4274	153	24	is	be	AUX
cana-4274	153	25	applied	apply	VERB
cana-4274	153	26	to	to	ADP
cana-4274	153	27	terms	term	NOUN
cana-4274	153	28	with	with	ADP
cana-4274	153	29	a	a	DET
cana-4274	153	30	frequency	frequency	NOUN
cana-4274	153	31	more	more	ADJ
cana-4274	153	32	than	than	ADP
cana-4274	153	33	50	50	NUM
cana-4274	153	34	%	%	NOUN
cana-4274	153	35	and	and	CCONJ
cana-4274	153	36	need	need	VERB
cana-4274	153	37	to	to	PART
cana-4274	153	38	be	be	AUX
cana-4274	153	39	eliminated	eliminate	VERB
cana-4274	153	40	from	from	ADP
cana-4274	153	41	the	the	DET
cana-4274	153	42	entire	entire	ADJ
cana-4274	153	43	set	set	NOUN
cana-4274	153	44	.	.	PUNCT
cana-4274	154	1	unlocked	unlock	VERB
cana-4274	154	2	,	,	PUNCT
cana-4274	154	3	time	time	NOUN
cana-4274	154	4	,	,	PUNCT
cana-4274	154	5	mobile	mobile	NOUN
cana-4274	154	6	,	,	PUNCT
cana-4274	154	7	and	and	CCONJ
cana-4274	154	8	phone	phone	NOUN
cana-4274	154	9	are	be	AUX
cana-4274	154	10	a	a	DET
cana-4274	154	11	few	few	ADJ
cana-4274	154	12	instances	instance	NOUN
cana-4274	154	13	.	.	PUNCT
cana-4274	155	1	additionally	additionally	ADV
cana-4274	155	2	,	,	PUNCT
cana-4274	155	3	remove	remove	VERB
cana-4274	155	4	any	any	DET
cana-4274	155	5	uncommon	uncommon	ADJ
cana-4274	155	6	terms	term	NOUN
cana-4274	155	7	that	that	PRON
cana-4274	155	8	occur	occur	VERB
cana-4274	155	9	fewer	few	ADJ
cana-4274	155	10	than	than	ADP
cana-4274	155	11	six	six	NUM
cana-4274	155	12	times	time	NOUN
cana-4274	155	13	.	.	PUNCT
cana-4274	156	1	the	the	DET
cana-4274	156	2	three	three	NUM
cana-4274	156	3	punctuation	punctuation	NOUN
cana-4274	156	4	symbols	symbol	NOUN
cana-4274	156	5	to	to	PART
cana-4274	156	6	remove	remove	VERB
cana-4274	156	7	are	be	AUX
cana-4274	156	8	the	the	DET
cana-4274	156	9	exclamation	exclamation	NOUN
cana-4274	156	10	point	point	NOUN
cana-4274	156	11	,	,	PUNCT
cana-4274	156	12	full	full	ADJ
cana-4274	156	13	stop	stop	NOUN
cana-4274	156	14	,	,	PUNCT
cana-4274	156	15	and	and	CCONJ
cana-4274	156	16	comma	comma	NOUN
cana-4274	156	17	.	.	PUNCT
cana-4274	157	1	lemmatization	lemmatization	NOUN
cana-4274	157	2	is	be	AUX
cana-4274	157	3	also	also	ADV
cana-4274	157	4	known	know	VERB
cana-4274	157	5	as	as	ADP
cana-4274	157	6	stemming	stem	VERB
cana-4274	157	7	,	,	PUNCT
cana-4274	157	8	reduces	reduce	VERB
cana-4274	157	9	prefixes	prefix	NOUN
cana-4274	157	10	and	and	CCONJ
cana-4274	157	11	suffixes	suffix	NOUN
cana-4274	157	12	to	to	PART
cana-4274	157	13	bring	bring	VERB
cana-4274	157	14	words	word	NOUN
cana-4274	157	15	back	back	ADV
cana-4274	157	16	to	to	ADP
cana-4274	157	17	their	their	PRON
cana-4274	157	18	original	original	ADJ
cana-4274	157	19	forms	form	NOUN
cana-4274	157	20	.	.	PUNCT
cana-4274	158	1	to	to	PART
cana-4274	158	2	finish	finish	VERB
cana-4274	158	3	it	it	PRON
cana-4274	158	4	,	,	PUNCT
cana-4274	158	5	the	the	DET
cana-4274	158	6	nltk	nltk	PROPN
cana-4274	158	7	library	library	PROPN
cana-4274	158	8	was	be	AUX
cana-4274	158	9	used.terms	used.term	NOUN
cana-4274	158	10	with	with	ADP
cana-4274	158	11	similar	similar	ADJ
cana-4274	158	12	meanings	meaning	NOUN
cana-4274	158	13	are	be	AUX
cana-4274	158	14	connected	connect	VERB
cana-4274	158	15	using	use	VERB
cana-4274	158	16	lemmatization	lemmatization	NOUN
cana-4274	158	17	.	.	PUNCT
cana-4274	159	1	case	case	NOUN
cana-4274	159	2	-	-	PUNCT
cana-4274	159	3	folding	folding	NOUN
cana-4274	159	4	is	be	AUX
cana-4274	159	5	a	a	DET
cana-4274	159	6	character	character	NOUN
cana-4274	159	7	sequence	sequence	NOUN
cana-4274	159	8	in	in	ADP
cana-4274	159	9	which	which	PRON
cana-4274	159	10	nonuppercase	nonuppercase	NOUN
cana-4274	159	11	symbols	symbol	NOUN
cana-4274	159	12	are	be	AUX
cana-4274	159	13	swapped	swap	VERB
cana-4274	159	14	out	out	ADP
cana-4274	159	15	for	for	ADP
cana-4274	159	16	their	their	PRON
cana-4274	159	17	lowercase	lowercase	NOUN
cana-4274	159	18	counterparts	counterpart	NOUN
cana-4274	159	19	.	.	PUNCT
cana-4274	160	1	when	when	SCONJ
cana-4274	160	2	it	it	PRON
cana-4274	160	3	comes	come	VERB
cana-4274	160	4	to	to	PART
cana-4274	160	5	xml	xml	VERB
cana-4274	160	6	,	,	PUNCT
cana-4274	160	7	"	"	PUNCT
cana-4274	160	8	casefolding	casefolde	VERB
cana-4274	160	9	"	"	PUNCT
cana-4274	160	10	just	just	ADV
cana-4274	160	11	means	mean	VERB
cana-4274	160	12	uppercasing	uppercase	VERB
cana-4274	160	13	.	.	PUNCT
cana-4274	161	1	preprocessing	preprocesse	VERB
cana-4274	161	2	processes	process	NOUN
cana-4274	161	3	are	be	AUX
cana-4274	161	4	shown	show	VERB
cana-4274	161	5	in	in	ADP
cana-4274	161	6	figure	figure	NOUN
cana-4274	161	7	2	2	NUM
cana-4274	161	8	.	.	PUNCT
cana-4274	161	9	figure	figure	NOUN
cana-4274	161	10	2	2	NUM
cana-4274	161	11	:	:	PUNCT
cana-4274	161	12	steps	step	NOUN
cana-4274	161	13	for	for	ADP
cana-4274	161	14	preprocessing	preprocesse	VERB
cana-4274	161	15	.	.	PUNCT
cana-4274	162	1	3.1.2	3.1.2	X
cana-4274	162	2	.	.	PUNCT
cana-4274	162	3	preprocessing	preprocesse	VERB
cana-4274	162	4	for	for	ADP
cana-4274	162	5	audio	audio	ADJ
cana-4274	162	6	sampling	sampling	NOUN
cana-4274	162	7	rate	rate	NOUN
cana-4274	162	8	standardization	standardization	NOUN
cana-4274	162	9	a	a	PRON
cana-4274	162	10	)	)	PUNCT
cana-4274	162	11	use	use	NOUN
cana-4274	162	12	librosa	librosa	NOUN
cana-4274	162	13	to	to	PART
cana-4274	162	14	load	load	VERB
cana-4274	162	15	an	an	DET
cana-4274	162	16	audio	audio	ADJ
cana-4274	162	17	file	file	NOUN
cana-4274	162	18	with	with	ADP
cana-4274	162	19	a	a	DET
cana-4274	162	20	44100	44100	NUM
cana-4274	162	21	hertz	hertz	NOUN
cana-4274	162	22	sampled	sample	VERB
cana-4274	162	23	rate	rate	NOUN
cana-4274	162	24	.	.	PUNCT
cana-4274	163	1	b	b	X
cana-4274	163	2	)	)	PUNCT
cana-4274	163	3	transform	transform	VERB
cana-4274	163	4	the	the	DET
cana-4274	163	5	frequency	frequency	NOUN
cana-4274	163	6	domain	domain	NOUN
cana-4274	163	7	,	,	PUNCT
cana-4274	163	8	or	or	CCONJ
cana-4274	163	9	spectrogram	spectrogram	NOUN
cana-4274	163	10	,	,	PUNCT
cana-4274	163	11	from	from	ADP
cana-4274	163	12	the	the	DET
cana-4274	163	13	time	time	NOUN
cana-4274	163	14	domain	domain	NOUN
cana-4274	163	15	.	.	PUNCT
cana-4274	164	1	c	c	X
cana-4274	164	2	)	)	PUNCT
cana-4274	164	3	a	a	DET
cana-4274	164	4	interval	interval	NOUN
cana-4274	164	5	of	of	ADP
cana-4274	164	6	0.7	0.7	NUM
cana-4274	164	7	and	and	CCONJ
cana-4274	164	8	1.3	1.3	NUM
cana-4274	164	9	in	in	ADP
cana-4274	164	10	time	time	NOUN
cana-4274	164	11	d	d	NOUN
cana-4274	164	12	)	)	PUNCT
cana-4274	164	13	pitch	pitch	NOUN
cana-4274	164	14	shift	shift	NOUN
cana-4274	164	15	between	between	ADP
cana-4274	164	16	1	1	NUM
cana-4274	164	17	and	and	CCONJ
cana-4274	164	18	-1	-1	NOUN
cana-4274	164	19	e	e	X
cana-4274	164	20	)	)	PUNCT
cana-4274	164	21	set	set	VERB
cana-4274	164	22	the	the	DET
cana-4274	164	23	duration	duration	NOUN
cana-4274	164	24	of	of	ADP
cana-4274	164	25	each	each	DET
cana-4274	164	26	audio	audio	NOUN
cana-4274	164	27	signal	signal	NOUN
cana-4274	164	28	to	to	ADP
cana-4274	164	29	the	the	DET
cana-4274	164	30	same	same	ADJ
cana-4274	164	31	.	.	PUNCT
cana-4274	165	1	f	f	X
cana-4274	165	2	)	)	PUNCT
cana-4274	165	3	the	the	DET
cana-4274	165	4	audio	audio	NOUN
cana-4274	165	5	signal	signal	NOUN
cana-4274	165	6	's	's	PART
cana-4274	165	7	final	final	ADJ
cana-4274	165	8	form	form	NOUN
cana-4274	165	9	is	be	AUX
cana-4274	165	10	(	(	PUNCT
cana-4274	165	11	64,1115	64,1115	NUM
cana-4274	165	12	)	)	PUNCT
cana-4274	165	13	noise	noise	NOUN
cana-4274	165	14	reduction	reduction	NOUN
cana-4274	165	15	techniques	technique	NOUN
cana-4274	165	16	given	give	VERB
cana-4274	165	17	a	a	DET
cana-4274	165	18	mixing	mix	VERB
cana-4274	165	19	signal	signal	NOUN
cana-4274	165	20	x(t	x(t	PROPN
cana-4274	165	21	)	)	PUNCT
cana-4274	165	22	captured	capture	VERB
cana-4274	165	23	in	in	ADP
cana-4274	165	24	a	a	DET
cana-4274	165	25	noisy	noisy	ADJ
cana-4274	165	26	environment	environment	NOUN
cana-4274	165	27	.	.	PUNCT
cana-4274	166	1	x(t	x(t	PROPN
cana-4274	166	2	)	)	PUNCT
cana-4274	166	3	=	=	SYM
cana-4274	166	4	s(t	s(t	PROPN
cana-4274	166	5	)	)	PUNCT
cana-4274	166	6	∗	∗	NOUN
cana-4274	166	7	h(t	h(t	NUM
cana-4274	166	8	)	)	PUNCT
cana-4274	166	9	+	+	CCONJ
cana-4274	166	10	z(t	z(t	NOUN
cana-4274	166	11	)	)	PUNCT
cana-4274	166	12	(	(	PUNCT
cana-4274	166	13	1	1	X
cana-4274	166	14	)	)	PUNCT
cana-4274	166	15	communications	communication	NOUN
cana-4274	166	16	on	on	ADP
cana-4274	166	17	applied	apply	VERB
cana-4274	166	18	nonlinear	nonlinear	ADJ
cana-4274	166	19	analysis	analysis	NOUN
cana-4274	166	20	issn	issn	NOUN
cana-4274	166	21	:	:	PUNCT
cana-4274	166	22	1074	1074	NUM
cana-4274	166	23	-	-	PUNCT
cana-4274	166	24	133x	133x	NUM
cana-4274	166	25	vol	vol	NOUN
cana-4274	166	26	32	32	NUM
cana-4274	166	27	no	no	NOUN
cana-4274	166	28	.	.	PUNCT
cana-4274	167	1	9s	9s	NUM
cana-4274	167	2	(	(	PUNCT
cana-4274	167	3	2025	2025	NUM
cana-4274	167	4	)	)	PUNCT
cana-4274	167	5	1684	1684	NUM
cana-4274	167	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	167	7	where	where	SCONJ
cana-4274	167	8	z(t	z(t	NOUN
cana-4274	167	9	)	)	PUNCT
cana-4274	167	10	is	be	AUX
cana-4274	167	11	a	a	DET
cana-4274	167	12	combined	combine	VERB
cana-4274	167	13	random	random	ADJ
cana-4274	167	14	signal	signal	NOUN
cana-4274	167	15	that	that	SCONJ
cana-4274	167	16	already	already	ADV
cana-4274	167	17	contains	contain	VERB
cana-4274	167	18	resonance	resonance	NOUN
cana-4274	167	19	,	,	PUNCT
cana-4274	167	20	h(t	h(t	PROPN
cana-4274	167	21	)	)	PUNCT
cana-4274	167	22	is	be	AUX
cana-4274	167	23	the	the	DET
cana-4274	167	24	speaker	speaker	NOUN
cana-4274	167	25	's	's	PART
cana-4274	167	26	response	response	NOUN
cana-4274	167	27	time	time	NOUN
cana-4274	167	28	to	to	ADP
cana-4274	167	29	the	the	DET
cana-4274	167	30	microphone	microphone	NOUN
cana-4274	167	31	,	,	PUNCT
cana-4274	167	32	and	and	CCONJ
cana-4274	167	33	s(t	s(t	NUM
cana-4274	167	34	)	)	PUNCT
cana-4274	167	35	is	be	AUX
cana-4274	167	36	a	a	DET
cana-4274	167	37	clean	clean	ADJ
cana-4274	167	38	speech	speech	NOUN
cana-4274	167	39	signal	signal	NOUN
cana-4274	167	40	.	.	PUNCT
cana-4274	168	1	the	the	DET
cana-4274	168	2	reduction	reduction	NOUN
cana-4274	168	3	of	of	ADP
cana-4274	168	4	noise	noise	NOUN
cana-4274	168	5	usually	usually	ADV
cana-4274	168	6	works	work	VERB
cana-4274	168	7	in	in	ADP
cana-4274	168	8	the	the	DET
cana-4274	168	9	frequency	frequency	NOUN
cana-4274	168	10	domain	domain	NOUN
cana-4274	168	11	as	as	SCONJ
cana-4274	168	12	follows	follow	VERB
cana-4274	168	13	:	:	PUNCT
cana-4274	168	14	x(k	x(k	PROPN
cana-4274	168	15	,	,	PUNCT
cana-4274	168	16	f	f	X
cana-4274	168	17	)	)	PUNCT
cana-4274	168	18	=	=	SYM
cana-4274	168	19	s(k	s(k	PROPN
cana-4274	168	20	,	,	PUNCT
cana-4274	168	21	f	f	X
cana-4274	168	22	)	)	PUNCT
cana-4274	168	23	·	·	PUNCT
cana-4274	169	1	h(k	h(k	PROPN
cana-4274	169	2	,	,	PUNCT
cana-4274	169	3	f	f	X
cana-4274	169	4	)	)	PUNCT
cana-4274	170	1	+	+	CCONJ
cana-4274	170	2	z(k	z(k	PROPN
cana-4274	170	3	,	,	PUNCT
cana-4274	170	4	f	f	X
cana-4274	170	5	)	)	PUNCT
cana-4274	170	6	(	(	PUNCT
cana-4274	170	7	2	2	X
cana-4274	170	8	)	)	PUNCT
cana-4274	170	9	where	where	SCONJ
cana-4274	170	10	k	k	NOUN
cana-4274	170	11	,	,	PUNCT
cana-4274	170	12	f	f	PROPN
cana-4274	170	13	are	be	AUX
cana-4274	170	14	the	the	DET
cana-4274	170	15	time	time	NOUN
cana-4274	170	16	and	and	CCONJ
cana-4274	170	17	frequency	frequency	NOUN
cana-4274	170	18	bins	bin	NOUN
cana-4274	170	19	,	,	PUNCT
cana-4274	170	20	and	and	CCONJ
cana-4274	170	21	x(k	x(k	PROPN
cana-4274	170	22	,	,	PUNCT
cana-4274	170	23	f	f	X
cana-4274	170	24	)	)	PUNCT
cana-4274	170	25	represents	represent	VERB
cana-4274	170	26	the	the	DET
cana-4274	170	27	time	time	NOUN
cana-4274	170	28	domain	domain	NOUN
cana-4274	170	29	signal	signal	NOUN
cana-4274	170	30	x(t	x(t	PROPN
cana-4274	170	31	)	)	PUNCT
cana-4274	170	32	.	.	PUNCT
cana-4274	171	1	3.1.3	3.1.3	X
cana-4274	171	2	.	.	PUNCT
cana-4274	171	3	preprocessing	preprocesse	VERB
cana-4274	171	4	for	for	ADP
cana-4274	171	5	visual	visual	ADJ
cana-4274	171	6	data	datum	NOUN
cana-4274	171	7	3.1.3.1	3.1.3.1	PROPN
cana-4274	171	8	gabor	gabor	PROPN
cana-4274	171	9	filters	filter	NOUN
cana-4274	171	10	along	along	ADV
cana-4274	171	11	with	with	ADP
cana-4274	171	12	key	key	ADJ
cana-4274	171	13	frame	frame	NOUN
cana-4274	171	14	selection	selection	NOUN
cana-4274	171	15	scheme	scheme	NOUN
cana-4274	171	16	:	:	PUNCT
cana-4274	171	17	key	key	ADJ
cana-4274	171	18	frame	frame	NOUN
cana-4274	171	19	selection	selection	NOUN
cana-4274	171	20	calculate	calculate	VERB
cana-4274	171	21	the	the	DET
cana-4274	171	22	difference	difference	NOUN
cana-4274	171	23	between	between	ADP
cana-4274	171	24	pixels	pixel	NOUN
cana-4274	171	25	in	in	ADP
cana-4274	171	26	each	each	DET
cana-4274	171	27	frame	frame	NOUN
cana-4274	171	28	,	,	PUNCT
cana-4274	171	29	and	and	CCONJ
cana-4274	171	30	if	if	SCONJ
cana-4274	171	31	it	it	PRON
cana-4274	171	32	's	be	AUX
cana-4274	171	33	above	above	ADP
cana-4274	171	34	a	a	DET
cana-4274	171	35	threshold	threshold	NOUN
cana-4274	171	36	of	of	ADP
cana-4274	171	37	10	10	NUM
cana-4274	171	38	,	,	PUNCT
cana-4274	171	39	identify	identify	VERB
cana-4274	171	40	that	that	DET
cana-4274	171	41	frame	frame	NOUN
cana-4274	171	42	as	as	ADP
cana-4274	171	43	a	a	DET
cana-4274	171	44	key	key	ADJ
cana-4274	171	45	frame	frame	NOUN
cana-4274	171	46	.	.	PUNCT
cana-4274	172	1	an	an	DET
cana-4274	172	2	input	input	NOUN
cana-4274	172	3	that	that	PRON
cana-4274	172	4	contains	contain	VERB
cana-4274	172	5	key	key	ADJ
cana-4274	172	6	frames	frame	NOUN
cana-4274	172	7	from	from	ADP
cana-4274	172	8	a	a	DET
cana-4274	172	9	video	video	NOUN
cana-4274	172	10	that	that	PRON
cana-4274	172	11	contain	contain	VERB
cana-4274	172	12	different	different	ADJ
cana-4274	172	13	emotions	emotion	NOUN
cana-4274	172	14	represented	represent	VERB
cana-4274	172	15	as	as	ADP
cana-4274	172	16	)	)	PUNCT
cana-4274	172	17	,	,	PUNCT
cana-4274	172	18	(	(	PUNCT
cana-4274	172	19	baf	baf	PROPN
cana-4274	172	20	,	,	PUNCT
cana-4274	172	21	where	where	SCONJ
cana-4274	172	22	)	)	PUNCT
cana-4274	172	23	,	,	PUNCT
cana-4274	172	24	(	(	PUNCT
cana-4274	172	25	ba	ba	PROPN
cana-4274	172	26	is	be	AUX
cana-4274	172	27	a	a	DET
cana-4274	172	28	spatial	spatial	ADJ
cana-4274	172	29	coordinate	coordinate	NOUN
cana-4274	172	30	.	.	PUNCT
cana-4274	173	1	to	to	PART
cana-4274	173	2	begin	begin	VERB
cana-4274	173	3	with	with	ADP
cana-4274	173	4	,	,	PUNCT
cana-4274	173	5	the	the	DET
cana-4274	173	6	key	key	ADJ
cana-4274	173	7	frames	frame	NOUN
cana-4274	173	8	are	be	AUX
cana-4274	173	9	fed	feed	VERB
cana-4274	173	10	into	into	ADP
cana-4274	173	11	gabor	gabor	PROPN
cana-4274	173	12	filtering	filtering	PROPN
cana-4274	173	13	,	,	PUNCT
cana-4274	173	14	which	which	PRON
cana-4274	173	15	removes	remove	VERB
cana-4274	173	16	the	the	DET
cana-4274	173	17	noise	noise	NOUN
cana-4274	173	18	and	and	CCONJ
cana-4274	173	19	redundant	redundant	ADJ
cana-4274	173	20	data	datum	NOUN
cana-4274	173	21	.	.	PUNCT
cana-4274	174	1	as	as	ADP
cana-4274	174	2	a	a	DET
cana-4274	174	3	result	result	NOUN
cana-4274	174	4	of	of	ADP
cana-4274	174	5	this	this	DET
cana-4274	174	6	preprocessing	preprocessing	NOUN
cana-4274	174	7	,	,	PUNCT
cana-4274	174	8	each	each	DET
cana-4274	174	9	frame	frame	NOUN
cana-4274	174	10	gets	get	AUX
cana-4274	174	11	enhanced	enhance	VERB
cana-4274	174	12	in	in	ADP
cana-4274	174	13	terms	term	NOUN
cana-4274	174	14	of	of	ADP
cana-4274	174	15	features	feature	NOUN
cana-4274	174	16	.	.	PUNCT
cana-4274	175	1	the	the	DET
cana-4274	175	2	video	video	NOUN
cana-4274	175	3	if	if	SCONJ
cana-4274	175	4	contains	contain	VERB
cana-4274	175	5	'	'	NUM
cana-4274	175	6	n	n	CCONJ
cana-4274	175	7	'	'	PUNCT
cana-4274	175	8	frames	frame	NOUN
cana-4274	175	9	,	,	PUNCT
cana-4274	175	10	represented	represent	VERB
cana-4274	175	11	as	as	ADP
cana-4274	175	12			PROPN
cana-4274	175	13	ni	ni	VERB
cana-4274	175	14	vvvvf	vvvvf	ADV
cana-4274	175	15	....	....	PUNCT
cana-4274	176	1	,	,	PUNCT
cana-4274	176	2	,	,	PUNCT
cana-4274	176	3	321=	321=	NOUN
cana-4274	176	4	.	.	PUNCT
cana-4274	177	1	the	the	DET
cana-4274	177	2	videos	video	NOUN
cana-4274	177	3	are	be	AUX
cana-4274	177	4	framed	frame	VERB
cana-4274	177	5	at	at	ADP
cana-4274	177	6	an	an	DET
cana-4274	177	7	average	average	NOUN
cana-4274	177	8	of	of	ADP
cana-4274	177	9	thirty	thirty	NUM
cana-4274	177	10	frames	frame	NOUN
cana-4274	177	11	per	per	ADP
cana-4274	177	12	second	second	ADV
cana-4274	177	13	using	use	VERB
cana-4274	177	14	key	key	ADJ
cana-4274	177	15	frame	frame	NOUN
cana-4274	177	16	selection	selection	NOUN
cana-4274	177	17	.	.	PUNCT
cana-4274	178	1	the	the	DET
cana-4274	178	2	frames	frame	NOUN
cana-4274	178	3	are	be	AUX
cana-4274	178	4	later	later	ADV
cana-4274	178	5	resized	resize	VERB
cana-4274	178	6	into	into	ADP
cana-4274	178	7	250250	250250	NUM
cana-4274	178	8	smaller	small	ADJ
cana-4274	178	9	ones	one	NOUN
cana-4274	178	10	to	to	PART
cana-4274	178	11	allow	allow	VERB
cana-4274	178	12	for	for	ADP
cana-4274	178	13	more	more	ADJ
cana-4274	178	14	processing	processing	NOUN
cana-4274	178	15	.	.	PUNCT
cana-4274	179	1	the	the	DET
cana-4274	179	2	threshold	threshold	NOUN
cana-4274	179	3	method	method	NOUN
cana-4274	179	4	is	be	AUX
cana-4274	179	5	used	use	VERB
cana-4274	179	6	to	to	PART
cana-4274	179	7	select	select	VERB
cana-4274	179	8	key	key	ADJ
cana-4274	179	9	frames	frame	NOUN
cana-4274	179	10	,	,	PUNCT
cana-4274	179	11	with	with	ADP
cana-4274	179	12	the	the	DET
cana-4274	179	13	first	first	ADJ
cana-4274	179	14	frame	frame	NOUN
cana-4274	179	15	of	of	ADP
cana-4274	179	16	each	each	DET
cana-4274	179	17	frame	frame	NOUN
cana-4274	179	18	being	be	AUX
cana-4274	179	19	chosen	choose	VERB
cana-4274	179	20	as	as	ADP
cana-4274	179	21	a	a	DET
cana-4274	179	22	key	key	ADJ
cana-4274	179	23	frame	frame	NOUN
cana-4274	179	24	.	.	PUNCT
cana-4274	180	1	gabor	gabor	PROPN
cana-4274	180	2	filters	filter	VERB
cana-4274	180	3	response	response	NOUN
cana-4274	180	4	:	:	PUNCT
cana-4274	180	5	due	due	ADP
cana-4274	180	6	to	to	ADP
cana-4274	180	7	its	its	PRON
cana-4274	180	8	properties	property	NOUN
cana-4274	180	9	optimal	optimal	ADJ
cana-4274	180	10	localization	localization	NOUN
cana-4274	180	11	in	in	ADP
cana-4274	180	12	both	both	CCONJ
cana-4274	180	13	frequency	frequency	NOUN
cana-4274	180	14	and	and	CCONJ
cana-4274	180	15	spatial	spatial	ADJ
cana-4274	180	16	domains	domain	NOUN
cana-4274	180	17	,	,	PUNCT
cana-4274	180	18	gabor	gabor	PROPN
cana-4274	180	19	has	have	AUX
cana-4274	180	20	proven	prove	VERB
cana-4274	180	21	to	to	PART
cana-4274	180	22	be	be	AUX
cana-4274	180	23	a	a	DET
cana-4274	180	24	very	very	ADV
cana-4274	180	25	useful	useful	ADJ
cana-4274	180	26	tool	tool	NOUN
cana-4274	180	27	in	in	ADP
cana-4274	180	28	computer	computer	NOUN
cana-4274	180	29	vision	vision	NOUN
cana-4274	180	30	and	and	CCONJ
cana-4274	180	31	image	image	NOUN
cana-4274	180	32	processing	processing	NOUN
cana-4274	180	33	.	.	PUNCT
cana-4274	181	1	gabor	gabor	PROPN
cana-4274	181	2	functions	function	NOUN
cana-4274	181	3	are	be	AUX
cana-4274	181	4	harmonic	harmonic	ADJ
cana-4274	181	5	oscillators	oscillator	NOUN
cana-4274	181	6	composed	compose	VERB
cana-4274	181	7	sinusoidal	sinusoidal	ADJ
cana-4274	181	8	plane	plane	NOUN
cana-4274	181	9	waves	wave	NOUN
cana-4274	181	10	of	of	ADP
cana-4274	181	11	certain	certain	ADJ
cana-4274	181	12	orientation	orientation	NOUN
cana-4274	181	13	and	and	CCONJ
cana-4274	181	14	frequency	frequency	NOUN
cana-4274	181	15	,	,	PUNCT
cana-4274	181	16	enclosed	enclose	VERB
cana-4274	181	17	within	within	ADP
cana-4274	181	18	gaussian	gaussian	ADJ
cana-4274	181	19	envelope	envelope	NOUN
cana-4274	181	20	.	.	PUNCT
cana-4274	182	1	image	image	NOUN
cana-4274	182	2	domain	domain	NOUN
cana-4274	182	3	)	)	PUNCT
cana-4274	182	4	,	,	PUNCT
cana-4274	182	5	(	(	PUNCT
cana-4274	182	6	dc	dc	PROPN
cana-4274	182	7	at	at	ADP
cana-4274	182	8	a	a	DET
cana-4274	182	9	complex	complex	ADJ
cana-4274	182	10	2	2	NUM
cana-4274	182	11	-	-	PUNCT
cana-4274	182	12	d	d	NOUN
cana-4274	182	13	gabor	gabor	NOUN
cana-4274	182	14	filter	filter	NOUN
cana-4274	182	15	is	be	AUX
cana-4274	182	16	defined	define	VERB
cana-4274	182	17	as	as	ADP
cana-4274	182	18	)	)	PUNCT
cana-4274	182	19	)	)	PUNCT
cana-4274	182	20	)	)	PUNCT
cana-4274	183	1	(	(	PUNCT
cana-4274	183	2	)	)	PUNCT
cana-4274	183	3	(	(	PUNCT
cana-4274	183	4	(	(	PUNCT
cana-4274	183	5	2exp	2exp	NOUN
cana-4274	183	6	(	(	PUNCT
cana-4274	183	7	2	2	NUM
cana-4274	183	8	)	)	PUNCT
cana-4274	183	9	(	(	PUNCT
cana-4274	183	10	2	2	X
cana-4274	183	11	)	)	PUNCT
cana-4274	183	12	(	(	PUNCT
cana-4274	183	13	exp	exp	NOUN
cana-4274	183	14	)	)	PUNCT
cana-4274	183	15	,	,	PUNCT
cana-4274	183	16	(	(	PUNCT
cana-4274	183	17	00002	00002	NUM
cana-4274	183	18	2	2	NUM
cana-4274	183	19	0	0	NUM
cana-4274	183	20	2	2	NUM
cana-4274	183	21	2	2	NUM
cana-4274	183	22	0	0	NUM
cana-4274	183	23	ddgccei	ddgccei	NOUN
cana-4274	183	24	ddcc	ddcc	NOUN
cana-4274	183	25	dcg	dcg	PROPN
cana-4274	183	26	dc	dc	PROPN
cana-4274	183	27	−+−−	−+−−	PROPN
cana-4274	183	28			NOUN
cana-4274	183	29			PROPN
cana-4274	183	30			PROPN
cana-4274	183	31			PROPN
cana-4274	183	32			NOUN
cana-4274	183	33	−	−	PROPN
cana-4274	183	34	−	−	PROPN
cana-4274	183	35	−	−	PROPN
cana-4274	183	36	−=	−=	NOUN
cana-4274	183	37			PROPN
cana-4274	183	38			NOUN
cana-4274	183	39	(	(	PUNCT
cana-4274	183	40	3	3	NUM
cana-4274	183	41	)	)	PUNCT
cana-4274	183	42	here	here	ADV
cana-4274	183	43	)	)	PUNCT
cana-4274	183	44	,	,	PUNCT
cana-4274	183	45	(	(	PUNCT
cana-4274	183	46	00	00	NUM
cana-4274	183	47	dc	dc	PROPN
cana-4274	183	48	denotes	denote	VERB
cana-4274	183	49	the	the	DET
cana-4274	183	50	image	image	NOUN
cana-4274	183	51	location	location	NOUN
cana-4274	183	52	,	,	PUNCT
cana-4274	183	53	)	)	PUNCT
cana-4274	183	54	,	,	PUNCT
cana-4274	183	55	(	(	PUNCT
cana-4274	183	56	00	00	PUNCT
cana-4274	183	57	ge	ge	PROPN
cana-4274	183	58	indicates	indicate	VERB
cana-4274	183	59	spatial	spatial	ADJ
cana-4274	183	60	frequency	frequency	NOUN
cana-4274	183	61	000	000	NUM
cana-4274	183	62	ge	ge	PROPN
cana-4274	184	1	+	+	PROPN
cana-4274	184	2	=	=	ADJ
cana-4274	184	3			X
cana-4274	184	4	that	that	DET
cana-4274	184	5	spacifying	spacifye	VERB
cana-4274	184	6	modulation	modulation	NOUN
cana-4274	184	7	,	,	PUNCT
cana-4274	184	8	)	)	PUNCT
cana-4274	184	9	/arctan	/arctan	PROPN
cana-4274	184	10	(	(	PUNCT
cana-4274	184	11	000	000	NUM
cana-4274	184	12	eg=	eg=	NOUN
cana-4274	184	13	is	be	AUX
cana-4274	184	14	orientation	orientation	NOUN
cana-4274	184	15	,	,	PUNCT
cana-4274	184	16	c	c	NOUN
cana-4274	184	17	and	and	CCONJ
cana-4274	184	18	d	d	PROPN
cana-4274	184	19	denotes	denote	NOUN
cana-4274	184	20	gaussian	gaussian	ADJ
cana-4274	184	21	envelope	envelope	NOUN
cana-4274	184	22	along	along	ADP
cana-4274	184	23	c	c	PROPN
cana-4274	184	24	-axis	-axis	PROPN
cana-4274	184	25	&	&	CCONJ
cana-4274	184	26	d	d	X
cana-4274	184	27	-axis	-axis	NOUN
cana-4274	184	28	by	by	ADP
cana-4274	184	29	the	the	DET
cana-4274	184	30	standard	standard	ADJ
cana-4274	184	31	deviation	deviation	NOUN
cana-4274	184	32	.	.	PUNCT
cana-4274	185	1	a	a	DET
cana-4274	185	2	2	2	NUM
cana-4274	185	3	-	-	PUNCT
cana-4274	185	4	d	d	NOUN
cana-4274	185	5	gabor	gabor	NOUN
cana-4274	185	6	filer	filer	NOUN
cana-4274	185	7	with	with	ADP
cana-4274	185	8	an	an	DET
cana-4274	185	9	even	even	ADV
cana-4274	185	10	-	-	PUNCT
cana-4274	185	11	symmetric	symmetric	ADJ
cana-4274	185	12	real	real	ADJ
cana-4274	185	13	component	component	NOUN
cana-4274	185	14	can	can	AUX
cana-4274	185	15	be	be	AUX
cana-4274	185	16	obtained	obtain	VERB
cana-4274	185	17	from	from	ADP
cana-4274	185	18	equation	equation	NOUN
cana-4274	185	19	(	(	PUNCT
cana-4274	185	20	3	3	NUM
cana-4274	185	21	)	)	PUNCT
cana-4274	185	22	by	by	ADP
cana-4274	185	23	elaborately	elaborately	ADV
cana-4274	185	24	selecting	select	VERB
cana-4274	185	25	the	the	DET
cana-4274	185	26	parameters	parameter	NOUN
cana-4274	185	27	above	above	ADV
cana-4274	185	28	.	.	PUNCT
cana-4274	186	1			NOUN
cana-4274	186	2			NOUN
cana-4274	186	3			PROPN
cana-4274	186	4			PROPN
cana-4274	186	5			PROPN
cana-4274	186	6			NOUN
cana-4274	186	7			PROPN
cana-4274	186	8			PROPN
cana-4274	186	9			NOUN
cana-4274	187	1			PROPN
cana-4274	187	2			PROPN
cana-4274	187	3			PROPN
cana-4274	188	1			PROPN
cana-4274	188	2			NOUN
cana-4274	188	3			NOUN
cana-4274	189	1			PROPN
cana-4274	189	2			PROPN
cana-4274	189	3			X
cana-4274	189	4			NOUN
cana-4274	189	5			X
cana-4274	189	6			VERB
cana-4274	189	7			PROPN
cana-4274	189	8	+	+	PROPN
cana-4274	189	9	−=	−=	PROPN
cana-4274	189	10	t	t	PROPN
cana-4274	189	11	cdc	cdc	PROPN
cana-4274	189	12	tdcs	tdc	VERB
cana-4274	189	13	dc	dc	PROPN
cana-4274	189	14			PROPN
cana-4274	189	15			NOUN
cana-4274	189	16			NOUN
cana-4274	189	17			ADJ
cana-4274	189	18			NOUN
cana-4274	189	19			NOUN
cana-4274	189	20	2	2	NUM
cana-4274	189	21	cos	cos	NOUN
cana-4274	189	22	2	2	NUM
cana-4274	189	23	1	1	NUM
cana-4274	189	24	exp	exp	NOUN
cana-4274	189	25	)	)	PUNCT
cana-4274	189	26	,	,	PUNCT
cana-4274	189	27	;	;	PUNCT
cana-4274	189	28	,	,	PUNCT
cana-4274	189	29	(	(	PUNCT
cana-4274	189	30	2	2	NUM
cana-4274	189	31	2	2	NUM
cana-4274	189	32	2	2	NUM
cana-4274	189	33	2	2	NUM
cana-4274	189	34	(	(	PUNCT
cana-4274	189	35	4	4	NUM
cana-4274	189	36	)	)	PUNCT
cana-4274	189	37			PUNCT
cana-4274	190	1	sincos	sincos	PROPN
cana-4274	190	2	dcc	dcc	PROPN
cana-4274	191	1	+	+	PROPN
cana-4274	191	2	=	=	X
cana-4274	191	3	(	(	PUNCT
cana-4274	191	4	5	5	NUM
cana-4274	191	5	)	)	PUNCT
cana-4274	191	6			PUNCT
cana-4274	191	7	cossin	cossin	NOUN
cana-4274	191	8	dd	dd	NOUN
cana-4274	191	9	+	+	NOUN
cana-4274	191	10	−=	−=	PUNCT
cana-4274	191	11	(	(	PUNCT
cana-4274	191	12	6	6	NUM
cana-4274	191	13	)	)	PUNCT
cana-4274	191	14	communications	communication	NOUN
cana-4274	191	15	on	on	ADP
cana-4274	191	16	applied	apply	VERB
cana-4274	191	17	nonlinear	nonlinear	ADJ
cana-4274	191	18	analysis	analysis	NOUN
cana-4274	191	19	issn	issn	NOUN
cana-4274	191	20	:	:	PUNCT
cana-4274	191	21	1074	1074	NUM
cana-4274	191	22	-	-	PUNCT
cana-4274	191	23	133x	133x	NUM
cana-4274	191	24	vol	vol	NOUN
cana-4274	191	25	32	32	NUM
cana-4274	191	26	no	no	NOUN
cana-4274	191	27	.	.	PUNCT
cana-4274	192	1	9s	9s	NUM
cana-4274	192	2	(	(	PUNCT
cana-4274	192	3	2025	2025	NUM
cana-4274	192	4	)	)	PUNCT
cana-4274	192	5	1685	1685	NUM
cana-4274	192	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	192	7	there	there	ADV
cana-4274	192	8			NOUN
cana-4274	192	9	denotes	denote	NOUN
cana-4274	192	10	gabor	gabor	PROPN
cana-4274	192	11	derived	derive	VERB
cana-4274	192	12	filter	filter	NOUN
cana-4274	192	13	by	by	ADP
cana-4274	192	14	orientation	orientation	NOUN
cana-4274	192	15	,	,	PUNCT
cana-4274	192	16	t	t	PROPN
cana-4274	192	17	denotes	denote	VERB
cana-4274	192	18	sinusoidal	sinusoidal	ADJ
cana-4274	192	19	plane	plane	NOUN
cana-4274	192	20	wave	wave	NOUN
cana-4274	192	21	of	of	ADP
cana-4274	192	22	the	the	DET
cana-4274	192	23	period	period	NOUN
cana-4274	192	24	.	.	PUNCT
cana-4274	193	1	following	follow	VERB
cana-4274	193	2	formula	formula	NOUN
cana-4274	193	3	can	can	AUX
cana-4274	193	4	deduced	deduce	VERB
cana-4274	193	5	from	from	ADP
cana-4274	193	6	formula	formula	NOUN
cana-4274	193	7	(	(	PUNCT
cana-4274	193	8	4	4	NUM
cana-4274	193	9	)	)	PUNCT
cana-4274	193	10	by	by	ADP
cana-4274	193	11	decomposing	decompose	VERB
cana-4274	193	12	it	it	PRON
cana-4274	193	13	two	two	NUM
cana-4274	193	14	orthogonal	orthogonal	ADJ
cana-4274	193	15	parts	part	NOUN
cana-4274	193	16	,	,	PUNCT
cana-4274	193	17	one	one	NUM
cana-4274	193	18	perpendicular	perpendicular	NOUN
cana-4274	193	19	and	and	CCONJ
cana-4274	193	20	one	one	NUM
cana-4274	193	21	parallel	parallel	NOUN
cana-4274	193	22	to	to	ADP
cana-4274	193	23	orientation	orientation	PROPN
cana-4274	193	24	:	:	PUNCT
cana-4274	193	25	)	)	PUNCT
cana-4274	193	26	;	;	PUNCT
cana-4274	193	27	(	(	PUNCT
cana-4274	193	28	)	)	PUNCT
cana-4274	193	29	.	.	PUNCT
cana-4274	193	30	,	,	PUNCT
cana-4274	193	31	;	;	PUNCT
cana-4274	193	32	(	(	PUNCT
cana-4274	193	33	)	)	PUNCT
cana-4274	193	34	,	,	PUNCT
cana-4274	193	35	,	,	PUNCT
cana-4274	193	36	,	,	PUNCT
cana-4274	193	37	(	(	PUNCT
cana-4274	193	38			VERB
cana-4274	193	39	dhtchtdcs	dhtchtdcs	PRON
cana-4274	193	40	dc=	dc=	PROPN
cana-4274	193	41	(	(	PUNCT
cana-4274	193	42	7	7	NUM
cana-4274	193	43	)	)	PUNCT
cana-4274	193	44			NUM
cana-4274	193	45			NUM
cana-4274	193	46			PROPN
cana-4274	193	47			PROPN
cana-4274	193	48			NOUN
cana-4274	193	49			NUM
cana-4274	193	50			NUM
cana-4274	193	51			ADP
cana-4274	193	52			NOUN
cana-4274	193	53			NOUN
cana-4274	193	54			PROPN
cana-4274	193	55			PROPN
cana-4274	193	56			PROPN
cana-4274	193	57			NOUN
cana-4274	193	58			PROPN
cana-4274	194	1			PROPN
cana-4274	194	2			NOUN
cana-4274	195	1			PROPN
cana-4274	195	2			PROPN
cana-4274	195	3			PROPN
cana-4274	196	1			PROPN
cana-4274	196	2			NOUN
cana-4274	196	3	−=	−=	PROPN
cana-4274	196	4	t	t	PROPN
cana-4274	196	5	cc	cc	PROPN
cana-4274	196	6	c	c	PROPN
cana-4274	196	7			X
cana-4274	196	8			PROPN
cana-4274	196	9			PROPN
cana-4274	196	10	2	2	NUM
cana-4274	196	11	cos	cos	ADP
cana-4274	196	12	2	2	NUM
cana-4274	196	13	exp	exp	NOUN
cana-4274	196	14	2	2	NUM
cana-4274	196	15	2	2	NUM
cana-4274	196	16	.	.	PUNCT
cana-4274	197	1			NOUN
cana-4274	197	2			NUM
cana-4274	197	3			PROPN
cana-4274	197	4			PROPN
cana-4274	197	5			NOUN
cana-4274	197	6			NUM
cana-4274	197	7			NUM
cana-4274	197	8			ADV
cana-4274	197	9			PROPN
cana-4274	198	1			PROPN
cana-4274	198	2			NOUN
cana-4274	199	1			PROPN
cana-4274	199	2			PROPN
cana-4274	199	3			PROPN
cana-4274	200	1			PROPN
cana-4274	200	2			NOUN
cana-4274	200	3	−	−	NOUN
cana-4274	200	4	2	2	NUM
cana-4274	200	5	2	2	NUM
cana-4274	200	6	2	2	NUM
cana-4274	200	7	exp	exp	NOUN
cana-4274	200	8	d	d	PROPN
cana-4274	200	9	d	d	NOUN
cana-4274	200	10			PROPN
cana-4274	200	11			NOUN
cana-4274	200	12	(	(	PUNCT
cana-4274	200	13	8)	8)	NUM
cana-4274	200	14	first	first	ADJ
cana-4274	200	15	part	part	NOUN
cana-4274	200	16	ch	ch	NOUN
cana-4274	200	17	behaves	behave	VERB
cana-4274	200	18	as	as	ADP
cana-4274	200	19	1	1	NUM
cana-4274	200	20	-	-	SYM
cana-4274	200	21	d	d	NUM
cana-4274	200	22	band	band	NOUN
cana-4274	200	23	pass	pass	NOUN
cana-4274	200	24	filter	filter	NOUN
cana-4274	200	25	of	of	ADP
cana-4274	200	26	gabor	gabor	PROPN
cana-4274	200	27	function	function	PROPN
cana-4274	200	28	,	,	PUNCT
cana-4274	200	29	then	then	ADV
cana-4274	200	30	second	second	ADJ
cana-4274	200	31	one	one	NUM
cana-4274	200	32	dh	dh	NOUN
cana-4274	200	33	represents	represent	VERB
cana-4274	200	34	a	a	DET
cana-4274	200	35	low	low	ADJ
cana-4274	200	36	pass	pass	NOUN
cana-4274	200	37	filter	filter	NOUN
cana-4274	200	38	of	of	ADP
cana-4274	200	39	gaussian	gaussian	ADJ
cana-4274	200	40	function	function	NOUN
cana-4274	200	41	.	.	PUNCT
cana-4274	201	1	as	as	ADP
cana-4274	201	2	a	a	DET
cana-4274	201	3	result	result	NOUN
cana-4274	201	4	,	,	PUNCT
cana-4274	201	5	the	the	DET
cana-4274	201	6	2	2	NUM
cana-4274	201	7	-	-	PUNCT
cana-4274	201	8	d	d	ADJ
cana-4274	201	9	even	even	ADJ
cana-4274	201	10	-	-	PUNCT
cana-4274	201	11	symmetric	symmetric	ADJ
cana-4274	201	12	gabor	gabor	PROPN
cana-4274	201	13	filter	filter	NOUN
cana-4274	201	14	applies	apply	VERB
cana-4274	201	15	a	a	DET
cana-4274	201	16	band	band	NOUN
cana-4274	201	17	pass	pass	NOUN
cana-4274	201	18	filter	filter	NOUN
cana-4274	201	19	orthogonal	orthogonal	NOUN
cana-4274	201	20	to	to	ADP
cana-4274	201	21	its	its	PRON
cana-4274	201	22	orientation	orientation	NOUN
cana-4274	201	23			NOUN
cana-4274	201	24	and	and	CCONJ
cana-4274	201	25	a	a	DET
cana-4274	201	26	low	low	ADJ
cana-4274	201	27	pass	pass	NOUN
cana-4274	201	28	filter	filter	NOUN
cana-4274	201	29	along	along	ADP
cana-4274	201	30	its	its	PRON
cana-4274	201	31	orientation	orientation	PROPN
cana-4274	201	32	.as	.as	PUNCT
cana-4274	201	33	ridges	ridge	NOUN
cana-4274	201	34	valleys	valley	NOUN
cana-4274	201	35	are	be	AUX
cana-4274	201	36	usually	usually	ADV
cana-4274	201	37	alternated	alternate	VERB
cana-4274	201	38	orthogonally	orthogonally	ADV
cana-4274	201	39	to	to	ADP
cana-4274	201	40	local	local	ADJ
cana-4274	201	41	parallel	parallel	NOUN
cana-4274	201	42	and	and	CCONJ
cana-4274	201	43	orientation	orientation	NOUN
cana-4274	201	44	exhibits	exhibit	VERB
cana-4274	201	45	local	local	ADJ
cana-4274	201	46	orientation	orientation	NOUN
cana-4274	201	47	along	along	ADP
cana-4274	201	48	an	an	DET
cana-4274	201	49	approximate	approximate	ADJ
cana-4274	201	50	continuity	continuity	NOUN
cana-4274	201	51	,	,	PUNCT
cana-4274	201	52	low	low	ADJ
cana-4274	201	53	pass	pass	NOUN
cana-4274	201	54	and	and	CCONJ
cana-4274	201	55	band	band	NOUN
cana-4274	201	56	pass	pass	NOUN
cana-4274	201	57	properties	property	NOUN
cana-4274	201	58	along	along	ADP
cana-4274	201	59	these	these	DET
cana-4274	201	60	two	two	NUM
cana-4274	201	61	orthogonal	orthogonal	ADJ
cana-4274	201	62	orientations	orientation	NOUN
cana-4274	201	63	are	be	AUX
cana-4274	201	64	enhancing	enhance	VERB
cana-4274	201	65	facial	facial	ADJ
cana-4274	201	66	emotion	emotion	NOUN
cana-4274	201	67	images	image	NOUN
cana-4274	201	68	very	very	ADV
cana-4274	201	69	beneficial	beneficial	ADJ
cana-4274	201	70	.	.	PUNCT
cana-4274	202	1	3.2	3.2	NUM
cana-4274	202	2	.	.	PUNCT
cana-4274	203	1	feature	feature	NOUN
cana-4274	203	2	extraction	extraction	NOUN
cana-4274	203	3	3.2.1	3.2.1	NUM
cana-4274	203	4	.	.	PUNCT
cana-4274	204	1	ana	ana	PROPN
cana-4274	204	2	for	for	ADP
cana-4274	204	3	text	text	NOUN
cana-4274	204	4	data	datum	NOUN
cana-4274	204	5	a	a	DET
cana-4274	204	6	vector	vector	NOUN
cana-4274	204	7	using	use	VERB
cana-4274	204	8	n	n	CCONJ
cana-4274	204	9	-	-	PUNCT
cana-4274	204	10	grams	gram	NOUN
cana-4274	204	11	to	to	PART
cana-4274	204	12	construct	construct	VERB
cana-4274	204	13	,	,	PUNCT
cana-4274	204	14	running	run	VERB
cana-4274	204	15	a	a	DET
cana-4274	204	16	a	a	DET
cana-4274	204	17	predetermined	predetermined	ADJ
cana-4274	204	18	n	n	CCONJ
cana-4274	204	19	-	-	PUNCT
cana-4274	204	20	sized	sized	ADJ
cana-4274	204	21	window	window	NOUN
cana-4274	204	22	is	be	AUX
cana-4274	204	23	converted	convert	VERB
cana-4274	204	24	into	into	ADP
cana-4274	204	25	overlap	overlap	NOUN
cana-4274	204	26	n	n	CCONJ
cana-4274	204	27	-	-	PUNCT
cana-4274	204	28	grams	gram	NOUN
cana-4274	204	29	by	by	ADP
cana-4274	204	30	each	each	DET
cana-4274	204	31	sentence	sentence	NOUN
cana-4274	204	32	.	.	PUNCT
cana-4274	205	1	build	build	VERB
cana-4274	205	2	a	a	DET
cana-4274	205	3	hybrid	hybrid	ADJ
cana-4274	205	4	static	static	NOUN
cana-4274	205	5	n	n	CCONJ
cana-4274	205	6	-	-	PUNCT
cana-4274	205	7	gram	gram	NOUN
cana-4274	205	8	of	of	ADP
cana-4274	205	9	vector	vector	NOUN
cana-4274	205	10	.	.	PUNCT
cana-4274	206	1	n	n	CCONJ
cana-4274	206	2	-	-	PUNCT
cana-4274	206	3	grams	gram	NOUN
cana-4274	206	4	are	be	AUX
cana-4274	206	5	statistical	statistical	ADJ
cana-4274	206	6	language	language	NOUN
cana-4274	206	7	models	model	NOUN
cana-4274	206	8	(	(	PUNCT
cana-4274	206	9	lms	lm	NOUN
cana-4274	206	10	)	)	PUNCT
cana-4274	206	11	that	that	PRON
cana-4274	206	12	decompose	decompose	VERB
cana-4274	206	13	phrases	phrase	NOUN
cana-4274	206	14	and	and	CCONJ
cana-4274	206	15	materials	material	NOUN
cana-4274	206	16	into	into	ADP
cana-4274	206	17	individual	individual	ADJ
cana-4274	206	18	words	word	NOUN
cana-4274	206	19	)	)	PUNCT
cana-4274	206	20	,	,	PUNCT
cana-4274	206	21	...	...	PUNCT
cana-4274	206	22	,	,	PUNCT
cana-4274	206	23	,	,	PUNCT
cana-4274	206	24	(	(	PUNCT
cana-4274	206	25	21	21	NUM
cana-4274	206	26	ni	ni	PROPN
cana-4274	206	27	cccc	cccc	PROPN
cana-4274	206	28	.	.	PUNCT
cana-4274	207	1	in	in	ADP
cana-4274	207	2	most	most	ADV
cana-4274	207	3	common	common	ADJ
cana-4274	207	4	lm	lm	PROPN
cana-4274	207	5	,	,	PUNCT
cana-4274	207	6	n	n	CCONJ
cana-4274	207	7	-	-	PUNCT
cana-4274	207	8	gram	gram	NOUN
cana-4274	207	9	assumes	assume	VERB
cana-4274	207	10	a	a	DET
cana-4274	207	11	markov	markov	NOUN
cana-4274	207	12	system	system	NOUN
cana-4274	207	13	and	and	CCONJ
cana-4274	207	14	define	define	VERB
cana-4274	207	15	context	context	NOUN
cana-4274	207	16	)	)	PUNCT
cana-4274	207	17	(	(	PUNCT
cana-4274	207	18	1−ic	1−ic	NOUN
cana-4274	207	19	as	as	ADP
cana-4274	207	20	;	;	PUNCT
cana-4274	207	21	tcccc	tcccc	NOUN
cana-4274	207	22	ininii	ininii	NOUN
cana-4274	208	1	=	=	NOUN
cana-4274	208	2	=	=	SYM
cana-4274	208	3	−+−+−−	−+−+−−	PROPN
cana-4274	208	4	12,11	12,11	PROPN
cana-4274	208	5	,	,	PUNCT
cana-4274	208	6	....	....	PUNCT
cana-4274	208	7	,	,	PUNCT
cana-4274	208	8	)	)	PUNCT
cana-4274	208	9	(	(	PUNCT
cana-4274	208	10			NOUN
cana-4274	208	11	(	(	PUNCT
cana-4274	208	12	9	9	NUM
cana-4274	208	13	)	)	PUNCT
cana-4274	208	14	it	it	PRON
cana-4274	208	15	's	be	AUX
cana-4274	208	16	normal	normal	ADJ
cana-4274	208	17	bag	bag	NOUN
cana-4274	208	18	of	of	ADP
cana-4274	208	19	words	word	NOUN
cana-4274	208	20	if	if	SCONJ
cana-4274	208	21	n-1	n-1	NOUN
cana-4274	208	22	,	,	PUNCT
cana-4274	208	23	since	since	SCONJ
cana-4274	208	24	there	there	PRON
cana-4274	208	25	is	be	VERB
cana-4274	208	26	no	no	DET
cana-4274	208	27	context	context	NOUN
cana-4274	208	28	.	.	PUNCT
cana-4274	209	1	the	the	DET
cana-4274	209	2	n=2	n=2	NOUN
cana-4274	209	3	context	context	NOUN
cana-4274	209	4	become	become	VERB
cana-4274	209	5	11	11	NUM
cana-4274	209	6	)	)	PUNCT
cana-4274	209	7	(	(	PUNCT
cana-4274	209	8	−−	−−	NOUN
cana-4274	209	9	=	=	SYM
cana-4274	209	10	ii	ii	NOUN
cana-4274	209	11	cc	cc	VERB
cana-4274	209	12	,	,	PUNCT
cana-4274	209	13	ic	ic	PROPN
cana-4274	209	14	measured	measure	VERB
cana-4274	209	15	a	a	DET
cana-4274	209	16	2	2	NUM
cana-4274	209	17	words	word	NOUN
cana-4274	209	18	.	.	PUNCT
cana-4274	210	1	the	the	DET
cana-4274	210	2	n=3	n=3	PUNCT
cana-4274	210	3	context	context	NOUN
cana-4274	210	4	become	become	VERB
cana-4274	210	5	21	21	NUM
cana-4274	210	6	)	)	PUNCT
cana-4274	210	7	(	(	PUNCT
cana-4274	210	8	−−	−−	NOUN
cana-4274	210	9	=	=	SYM
cana-4274	210	10	ii	ii	NOUN
cana-4274	210	11	cc	cc	NOUN
cana-4274	210	12	,	,	PUNCT
cana-4274	210	13	1−ic	1−ic	NUM
cana-4274	210	14	,	,	PUNCT
cana-4274	210	15	ic	ic	PROPN
cana-4274	210	16	measured	measure	VERB
cana-4274	210	17	a	a	DET
cana-4274	210	18	3	3	NUM
cana-4274	210	19	words	word	NOUN
cana-4274	210	20	.	.	PUNCT
cana-4274	211	1	under	under	ADP
cana-4274	211	2	proper	proper	ADJ
cana-4274	211	3	the	the	DET
cana-4274	211	4	description	description	NOUN
cana-4274	211	5	,	,	PUNCT
cana-4274	211	6	an	an	DET
cana-4274	211	7	n	n	CCONJ
cana-4274	211	8	-	-	PUNCT
cana-4274	211	9	gram	gram	NOUN
cana-4274	211	10	is	be	AUX
cana-4274	211	11	narrative	narrative	ADJ
cana-4274	211	12	string	string	NOUN
cana-4274	211	13	including	include	VERB
cana-4274	211	14	n	n	CCONJ
cana-4274	211	15	contiguous	contiguous	ADJ
cana-4274	211	16	"	"	PUNCT
cana-4274	211	17	textual	textual	ADJ
cana-4274	211	18	units	unit	NOUN
cana-4274	211	19	"	"	PUNCT
cana-4274	211	20	as	as	ADP
cana-4274	211	21	of	of	ADP
cana-4274	211	22	a	a	DET
cana-4274	211	23	given	give	VERB
cana-4274	211	24	ruling	ruling	NOUN
cana-4274	211	25	or	or	CCONJ
cana-4274	211	26	material	material	NOUN
cana-4274	211	27	.	.	PUNCT
cana-4274	212	1	a	a	DET
cana-4274	212	2	"	"	PUNCT
cana-4274	212	3	textual	textual	ADJ
cana-4274	212	4	unit	unit	NOUN
cana-4274	212	5	"	"	PUNCT
cana-4274	212	6	that	that	PRON
cana-4274	212	7	may	may	AUX
cana-4274	212	8	be	be	AUX
cana-4274	212	9	recognized	recognize	VERB
cana-4274	212	10	as	as	ADP
cana-4274	212	11	a	a	DET
cana-4274	212	12	character	character	NOUN
cana-4274	212	13	forms	form	VERB
cana-4274	212	14	a	a	DET
cana-4274	212	15	vector	vector	NOUN
cana-4274	212	16	illustration	illustration	NOUN
cana-4274	212	17	of	of	ADP
cana-4274	212	18	the	the	DET
cana-4274	212	19	n	n	NOUN
cana-4274	212	20	-	-	PUNCT
cana-4274	212	21	grams	gram	NOUN
cana-4274	212	22	into	into	ADP
cana-4274	212	23	word	word	NOUN
cana-4274	212	24	or	or	CCONJ
cana-4274	212	25	a	a	DET
cana-4274	212	26	phase	phase	NOUN
cana-4274	212	27	,	,	PUNCT
cana-4274	212	28	depending	depend	VERB
cana-4274	212	29	on	on	ADP
cana-4274	212	30	situation	situation	NOUN
cana-4274	212	31	of	of	ADP
cana-4274	212	32	attention	attention	NOUN
cana-4274	212	33	.	.	PUNCT
cana-4274	213	1	this	this	DET
cana-4274	213	2	work	work	NOUN
cana-4274	213	3	detects	detect	VERB
cana-4274	213	4	the	the	DET
cana-4274	213	5	n	n	NOUN
cana-4274	213	6	-	-	PUNCT
cana-4274	213	7	gram	gram	NOUN
cana-4274	213	8	at	at	ADP
cana-4274	213	9	word	word	NOUN
cana-4274	213	10	level	level	NOUN
cana-4274	213	11	.	.	PUNCT
cana-4274	214	1	every	every	DET
cana-4274	214	2	n	n	NOUN
cana-4274	214	3	-	-	PUNCT
cana-4274	214	4	gram	gram	NOUN
cana-4274	214	5	in	in	ADP
cana-4274	214	6	a	a	DET
cana-4274	214	7	vector	vector	NOUN
cana-4274	214	8	that	that	PRON
cana-4274	214	9	resembles	resemble	VERB
cana-4274	214	10	the	the	DET
cana-4274	214	11	text	text	NOUN
cana-4274	214	12	being	be	AUX
cana-4274	214	13	studied	study	VERB
cana-4274	214	14	corresponds	correspond	NOUN
cana-4274	214	15	to	to	ADP
cana-4274	214	16	a	a	DET
cana-4274	214	17	vector	vector	NOUN
cana-4274	214	18	position	position	NOUN
cana-4274	214	19	.	.	PUNCT
cana-4274	215	1	that	that	DET
cana-4274	215	2	coordinate	coordinate	NOUN
cana-4274	215	3	's	's	PART
cana-4274	215	4	value	value	NOUN
cana-4274	215	5	may	may	AUX
cana-4274	215	6	represent	represent	VERB
cana-4274	215	7	the	the	DET
cana-4274	215	8	frequency	frequency	NOUN
cana-4274	215	9	,	,	PUNCT
cana-4274	215	10	happening	happening	NOUN
cana-4274	215	11	,	,	PUNCT
cana-4274	215	12	or	or	CCONJ
cana-4274	215	13	any	any	DET
cana-4274	215	14	other	other	ADJ
cana-4274	215	15	measure	measure	NOUN
cana-4274	215	16	,	,	PUNCT
cana-4274	215	17	depending	depend	VERB
cana-4274	215	18	on	on	ADP
cana-4274	215	19	the	the	DET
cana-4274	215	20	text	text	NOUN
cana-4274	215	21	.	.	PUNCT
cana-4274	216	1	the	the	DET
cana-4274	216	2	unigram	unigram	NOUN
cana-4274	216	3	is	be	AUX
cana-4274	216	4	the	the	DET
cana-4274	216	5	standard	standard	ADJ
cana-4274	216	6	"	"	PUNCT
cana-4274	216	7	bag	bag	NOUN
cana-4274	216	8	-	-	PUNCT
cana-4274	216	9	of	of	ADP
cana-4274	216	10	-	-	PUNCT
cana-4274	216	11	words	word	NOUN
cana-4274	216	12	"	"	PUNCT
cana-4274	216	13	(	(	PUNCT
cana-4274	216	14	bow	bow	NOUN
cana-4274	216	15	)	)	PUNCT
cana-4274	216	16	form	form	NOUN
cana-4274	216	17	,	,	PUNCT
cana-4274	216	18	with	with	ADP
cana-4274	216	19	n	n	NOUN
cana-4274	216	20	=	=	SYM
cana-4274	216	21	1	1	NUM
cana-4274	216	22	,	,	PUNCT
cana-4274	216	23	according	accord	VERB
cana-4274	216	24	to	to	ADP
cana-4274	216	25	the	the	DET
cana-4274	216	26	most	most	ADV
cana-4274	216	27	basic	basic	ADJ
cana-4274	216	28	n	n	CCONJ
cana-4274	216	29	-	-	PUNCT
cana-4274	216	30	gram	gram	NOUN
cana-4274	216	31	.	.	PUNCT
cana-4274	217	1	n	n	CCONJ
cana-4274	217	2	-	-	PUNCT
cana-4274	217	3	grams	gram	NOUN
cana-4274	217	4	models	model	NOUN
cana-4274	217	5	be	be	AUX
cana-4274	217	6	frequently	frequently	ADV
cana-4274	217	7	utilized	utilize	VERB
cana-4274	217	8	in	in	ADP
cana-4274	217	9	nlp	nlp	NOUN
cana-4274	217	10	applications	application	NOUN
cana-4274	217	11	due	due	ADP
cana-4274	217	12	to	to	ADP
cana-4274	217	13	their	their	PRON
cana-4274	217	14	simplicity	simplicity	NOUN
cana-4274	217	15	and	and	CCONJ
cana-4274	217	16	effectiveness	effectiveness	NOUN
cana-4274	217	17	,	,	PUNCT
cana-4274	217	18	as	as	SCONJ
cana-4274	217	19	demonstrated	demonstrate	VERB
cana-4274	217	20	by	by	ADP
cana-4274	217	21	their	their	PRON
cana-4274	217	22	ability	ability	NOUN
cana-4274	217	23	to	to	PART
cana-4274	217	24	produce	produce	VERB
cana-4274	217	25	a	a	DET
cana-4274	217	26	vector	vector	NOUN
cana-4274	217	27	from	from	ADP
cana-4274	217	28	a	a	DET
cana-4274	217	29	large	large	ADJ
cana-4274	217	30	passage	passage	NOUN
cana-4274	217	31	database	database	NOUN
cana-4274	217	32	.	.	PUNCT
cana-4274	218	1	each	each	DET
cana-4274	218	2	phrase	phrase	NOUN
cana-4274	218	3	is	be	AUX
cana-4274	218	4	transformed	transform	VERB
cana-4274	218	5	into	into	ADP
cana-4274	218	6	a	a	DET
cana-4274	218	7	bag	bag	NOUN
cana-4274	218	8	of	of	ADP
cana-4274	218	9	n	n	CCONJ
cana-4274	218	10	-	-	PUNCT
cana-4274	218	11	grams	gram	NOUN
cana-4274	218	12	and	and	CCONJ
cana-4274	218	13	depicted	depict	VERB
cana-4274	218	14	as	as	ADP
cana-4274	218	15	an	an	DET
cana-4274	218	16	occurrence	occurrence	NOUN
cana-4274	218	17	frequency	frequency	NOUN
cana-4274	218	18	vector	vector	NOUN
cana-4274	218	19	,	,	PUNCT
cana-4274	218	20	ignoring	ignore	VERB
cana-4274	218	21	information	information	NOUN
cana-4274	218	22	contained	contain	VERB
cana-4274	218	23	in	in	ADP
cana-4274	218	24	n	n	NOUN
cana-4274	218	25	-	-	PUNCT
cana-4274	218	26	grams	gram	NOUN
cana-4274	218	27	of	of	ADP
cana-4274	218	28	original	original	ADJ
cana-4274	218	29	text	text	NOUN
cana-4274	218	30	.	.	PUNCT
cana-4274	219	1	as	as	ADP
cana-4274	219	2	a	a	DET
cana-4274	219	3	result	result	NOUN
cana-4274	219	4	,	,	PUNCT
cana-4274	219	5	vector	vector	NOUN
cana-4274	219	6	has	have	VERB
cana-4274	219	7	an	an	DET
cana-4274	219	8	excessive	excessive	ADJ
cana-4274	219	9	numeral	numeral	ADJ
cana-4274	219	10	of	of	ADP
cana-4274	219	11	unnecessary	unnecessary	ADJ
cana-4274	219	12	and	and	CCONJ
cana-4274	219	13	duplicated	duplicated	ADJ
cana-4274	219	14	characteristics	characteristic	NOUN
cana-4274	219	15	.	.	PUNCT
cana-4274	220	1	in	in	ADP
cana-4274	220	2	this	this	DET
cana-4274	220	3	research	research	NOUN
cana-4274	220	4	,	,	PUNCT
cana-4274	220	5	they	they	PRON
cana-4274	220	6	suggest	suggest	VERB
cana-4274	220	7	a	a	DET
cana-4274	220	8	novel	novel	ADJ
cana-4274	220	9	approach	approach	NOUN
cana-4274	220	10	to	to	PART
cana-4274	220	11	use	use	VERB
cana-4274	220	12	ncommunications	ncommunication	NOUN
cana-4274	220	13	on	on	ADP
cana-4274	220	14	applied	apply	VERB
cana-4274	220	15	nonlinear	nonlinear	ADJ
cana-4274	220	16	analysis	analysis	NOUN
cana-4274	220	17	issn	issn	NOUN
cana-4274	220	18	:	:	PUNCT
cana-4274	220	19	1074	1074	NUM
cana-4274	220	20	-	-	PUNCT
cana-4274	220	21	133x	133x	NUM
cana-4274	220	22	vol	vol	NOUN
cana-4274	220	23	32	32	NUM
cana-4274	221	1	no	no	NOUN
cana-4274	221	2	.	.	PUNCT
cana-4274	222	1	9s	9s	NUM
cana-4274	222	2	(	(	PUNCT
cana-4274	222	3	2025	2025	NUM
cana-4274	222	4	)	)	PUNCT
cana-4274	222	5	1686	1686	NUM
cana-4274	222	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	222	7	gram	gram	NOUN
cana-4274	222	8	models	model	NOUN
cana-4274	222	9	for	for	ADP
cana-4274	222	10	feature	feature	NOUN
cana-4274	222	11	extraction	extraction	NOUN
cana-4274	222	12	from	from	ADP
cana-4274	222	13	phrase	phrase	NOUN
cana-4274	222	14	level	level	NOUN
cana-4274	222	15	analysis	analysis	NOUN
cana-4274	222	16	of	of	ADP
cana-4274	222	17	sentiment	sentiment	NOUN
cana-4274	222	18	.	.	PUNCT
cana-4274	223	1	one	one	NUM
cana-4274	223	2	of	of	ADP
cana-4274	223	3	the	the	DET
cana-4274	223	4	three	three	NUM
cana-4274	223	5	-	-	PUNCT
cana-4274	223	6	word	word	NOUN
cana-4274	223	7	ngrams	ngrams	PROPN
cana-4274	223	8	(	(	PUNCT
cana-4274	223	9	n	n	NOUN
cana-4274	223	10	=	=	SYM
cana-4274	223	11	3	3	NUM
cana-4274	223	12	)	)	PUNCT
cana-4274	223	13	that	that	PRON
cana-4274	223	14	comprise	comprise	VERB
cana-4274	223	15	a	a	DET
cana-4274	223	16	phrase	phrase	NOUN
cana-4274	223	17	is	be	AUX
cana-4274	223	18	chosen	choose	VERB
cana-4274	223	19	to	to	PART
cana-4274	223	20	serve	serve	VERB
cana-4274	223	21	as	as	ADP
cana-4274	223	22	an	an	DET
cana-4274	223	23	emotion	emotion	NOUN
cana-4274	223	24	term	term	NOUN
cana-4274	223	25	.	.	PUNCT
cana-4274	224	1	consequently	consequently	ADV
cana-4274	224	2	,	,	PUNCT
cana-4274	224	3	after	after	ADP
cana-4274	224	4	producing	produce	VERB
cana-4274	224	5	the	the	DET
cana-4274	224	6	three	three	NUM
cana-4274	224	7	word	word	NOUN
cana-4274	224	8	n	n	NOUN
cana-4274	224	9	-	-	PUNCT
cana-4274	224	10	grams	gram	NOUN
cana-4274	224	11	,	,	PUNCT
cana-4274	224	12	they	they	PRON
cana-4274	224	13	activate	activate	VERB
cana-4274	224	14	a	a	DET
cana-4274	224	15	sentiment	sentiment	NOUN
cana-4274	224	16	lexicon	lexicon	NOUN
cana-4274	224	17	that	that	PRON
cana-4274	224	18	directs	direct	VERB
cana-4274	224	19	the	the	DET
cana-4274	224	20	user	user	NOUN
cana-4274	224	21	to	to	ADP
cana-4274	224	22	an	an	DET
cana-4274	224	23	n	n	NOUN
cana-4274	224	24	-	-	PUNCT
cana-4274	224	25	gram	gram	NOUN
cana-4274	224	26	that	that	PRON
cana-4274	224	27	has	have	VERB
cana-4274	224	28	the	the	DET
cana-4274	224	29	emotion	emotion	NOUN
cana-4274	224	30	term	term	NOUN
cana-4274	224	31	in	in	ADP
cana-4274	224	32	touch	touch	NOUN
cana-4274	224	33	.	.	PUNCT
cana-4274	225	1	the	the	DET
cana-4274	225	2	detected	detect	VERB
cana-4274	225	3	n	n	CCONJ
cana-4274	225	4	-	-	PUNCT
cana-4274	225	5	gram	gram	NOUN
cana-4274	225	6	is	be	AUX
cana-4274	225	7	divided	divide	VERB
cana-4274	225	8	into	into	ADP
cana-4274	225	9	three	three	NUM
cana-4274	225	10	words	word	NOUN
cana-4274	225	11	.	.	PUNCT
cana-4274	226	1	from	from	ADP
cana-4274	226	2	the	the	DET
cana-4274	226	3	three	three	NUM
cana-4274	226	4	words	word	NOUN
cana-4274	226	5	,	,	PUNCT
cana-4274	226	6	their	their	PRON
cana-4274	226	7	part	part	NOUN
cana-4274	226	8	of	of	ADP
cana-4274	226	9	speech	speech	NOUN
cana-4274	226	10	pos	pos	NOUN
cana-4274	226	11	tags	tag	NOUN
cana-4274	226	12	,	,	PUNCT
cana-4274	226	13	and	and	CCONJ
cana-4274	226	14	their	their	PRON
cana-4274	226	15	sentiment	sentiment	NOUN
cana-4274	226	16	orientations	orientation	NOUN
cana-4274	226	17	,	,	PUNCT
cana-4274	226	18	a	a	DET
cana-4274	226	19	mixture	mixture	NOUN
cana-4274	226	20	vector	vector	NOUN
cana-4274	226	21	is	be	AUX
cana-4274	226	22	constructed	construct	VERB
cana-4274	226	23	for	for	ADP
cana-4274	226	24	sentence	sentence	NOUN
cana-4274	226	25	.	.	PUNCT
cana-4274	227	1	using	use	VERB
cana-4274	227	2	equation	equation	NOUN
cana-4274	227	3	(	(	PUNCT
cana-4274	227	4	10	10	NUM
cana-4274	227	5	)	)	PUNCT
cana-4274	227	6	and	and	CCONJ
cana-4274	227	7	n	n	CCONJ
cana-4274	227	8	=	=	SYM
cana-4274	227	9	3	3	NUM
cana-4274	227	10	,	,	PUNCT
cana-4274	227	11	the	the	DET
cana-4274	227	12	context	context	NOUN
cana-4274	227	13	is	be	AUX
cana-4274	227	14	as	as	ADP
cana-4274	227	15	follow	follow	VERB
cana-4274	227	16	;	;	PUNCT
cana-4274	227	17	iiii	iiii	PROPN
cana-4274	227	18	bbbb	bbbb	PROPN
cana-4274	227	19	,	,	PUNCT
cana-4274	227	20	,	,	PUNCT
cana-4274	227	21	)	)	PUNCT
cana-4274	227	22	(	(	PUNCT
cana-4274	227	23	121	121	NUM
cana-4274	227	24	−−−	−−−	X
cana-4274	228	1	=	=	NOUN
cana-4274	228	2			NOUN
cana-4274	228	3	for	for	ADP
cana-4274	228	4	terms	term	NOUN
cana-4274	228	5	;	;	PUNCT
cana-4274	228	6	iiii	iiii	NOUN
cana-4274	228	7	mmmm	mmmm	NOUN
cana-4274	228	8	,	,	PUNCT
cana-4274	228	9	,	,	PUNCT
cana-4274	228	10	)	)	PUNCT
cana-4274	228	11	(	(	PUNCT
cana-4274	228	12	121	121	NUM
cana-4274	228	13	−−−	−−−	X
cana-4274	229	1	=	=	NOUN
cana-4274	229	2			NOUN
cana-4274	229	3	for	for	ADP
cana-4274	229	4	pos	pos	NOUN
cana-4274	229	5	tag	tag	NOUN
cana-4274	229	6	and	and	CCONJ
cana-4274	229	7	;	;	PUNCT
cana-4274	229	8	iiii	iiii	PROPN
cana-4274	229	9	llll	llll	PROPN
cana-4274	229	10	,	,	PUNCT
cana-4274	229	11	,	,	PUNCT
cana-4274	229	12	)	)	PUNCT
cana-4274	229	13	(	(	PUNCT
cana-4274	229	14	121	121	NUM
cana-4274	229	15	−−−	−−−	X
cana-4274	230	1	=	=	NOUN
cana-4274	230	2			NOUN
cana-4274	230	3	for	for	ADP
cana-4274	230	4	semantic	semantic	ADJ
cana-4274	230	5	direction	direction	NOUN
cana-4274	230	6	.	.	PUNCT
cana-4274	231	1	to	to	PART
cana-4274	231	2	get	get	VERB
cana-4274	231	3	feeling	feeling	NOUN
cana-4274	231	4	aspects	aspect	NOUN
cana-4274	231	5	(	(	PUNCT
cana-4274	231	6	a	a	X
cana-4274	231	7	)	)	PUNCT
cana-4274	231	8	,	,	PUNCT
cana-4274	231	9	combine	combine	VERB
cana-4274	231	10	words	word	NOUN
cana-4274	231	11	,	,	PUNCT
cana-4274	231	12	pos	pos	NOUN
cana-4274	231	13	tags	tag	NOUN
cana-4274	231	14	,	,	PUNCT
cana-4274	231	15	and	and	CCONJ
cana-4274	231	16	semantic	semantic	ADJ
cana-4274	231	17	orientations	orientation	NOUN
cana-4274	231	18	as	as	SCONJ
cana-4274	231	19	follow	follow	VERB
cana-4274	231	20	;	;	PUNCT
cana-4274	231	21	iiiiiiiiii	iiiiiiiiii	NOUN
cana-4274	231	22	lllmmmbbby	lllmmmbbby	NOUN
cana-4274	231	23	,	,	PUNCT
cana-4274	231	24	,	,	PUNCT
cana-4274	231	25	,	,	PUNCT
cana-4274	231	26	,	,	PUNCT
cana-4274	231	27	,	,	PUNCT
cana-4274	231	28	,	,	PUNCT
cana-4274	231	29	,	,	PUNCT
cana-4274	231	30	,	,	PUNCT
cana-4274	231	31	)	)	PUNCT
cana-4274	231	32	(	(	PUNCT
cana-4274	231	33	1212121	1212121	NUM
cana-4274	231	34	−−−−−−−	−−−−−−−	X
cana-4274	231	35	=	=	NUM
cana-4274	231	36			NOUN
cana-4274	231	37	(	(	PUNCT
cana-4274	231	38	10	10	NUM
cana-4274	231	39	)	)	PUNCT
cana-4274	231	40	3.2.2	3.2.2	NUM
cana-4274	231	41	.	.	PUNCT
cana-4274	232	1	audio	audio	NOUN
cana-4274	232	2	features	feature	NOUN
cana-4274	232	3	are	be	AUX
cana-4274	232	4	extracted	extract	VERB
cana-4274	232	5	with	with	ADP
cana-4274	232	6	mel	mel	PROPN
cana-4274	232	7	-	-	PUNCT
cana-4274	232	8	frequency	frequency	ADJ
cana-4274	232	9	cepstral	cepstral	ADJ
cana-4274	232	10	coefficients	coefficient	NOUN
cana-4274	232	11	(	(	PUNCT
cana-4274	232	12	mfcc	mfcc	NOUN
cana-4274	232	13	)	)	PUNCT
cana-4274	232	14	through	through	ADP
cana-4274	232	15	the	the	DET
cana-4274	232	16	technique	technique	NOUN
cana-4274	232	17	of	of	ADP
cana-4274	232	18	sampling	sample	VERB
cana-4274	232	19	,	,	PUNCT
cana-4274	232	20	spoken	spoken	ADJ
cana-4274	232	21	data	datum	NOUN
cana-4274	232	22	is	be	AUX
cana-4274	232	23	transformed	transform	VERB
cana-4274	232	24	to	to	ADP
cana-4274	232	25	digital	digital	ADJ
cana-4274	232	26	form	form	NOUN
cana-4274	232	27	at	at	ADP
cana-4274	232	28	44.1	44.1	NUM
cana-4274	232	29	khz	khz	NOUN
cana-4274	232	30	.	.	PUNCT
cana-4274	233	1	the	the	DET
cana-4274	233	2	speech	speech	NOUN
cana-4274	233	3	data	datum	NOUN
cana-4274	233	4	was	be	AUX
cana-4274	233	5	split	split	VERB
cana-4274	233	6	into	into	ADP
cana-4274	233	7	frames	frame	NOUN
cana-4274	233	8	in	in	ADP
cana-4274	233	9	order	order	NOUN
cana-4274	233	10	to	to	PART
cana-4274	233	11	extract	extract	VERB
cana-4274	233	12	different	different	ADJ
cana-4274	233	13	emotion	emotion	NOUN
cana-4274	233	14	characteristics	characteristic	NOUN
cana-4274	233	15	.	.	PUNCT
cana-4274	234	1	a	a	DET
cana-4274	234	2	hamming	hamming	NOUN
cana-4274	234	3	window	window	NOUN
cana-4274	234	4	is	be	AUX
cana-4274	234	5	used	use	VERB
cana-4274	234	6	to	to	PART
cana-4274	234	7	separate	separate	VERB
cana-4274	234	8	each	each	DET
cana-4274	234	9	frame	frame	NOUN
cana-4274	234	10	.	.	PUNCT
cana-4274	235	1	1	1	NUM
cana-4274	235	2	*	*	SYM
cana-4274	235	3	2	2	NUM
cana-4274	235	4	cos46.054.0	cos46.054.0	X
cana-4274	235	5	)	)	PUNCT
cana-4274	235	6	(	(	PUNCT
cana-4274	235	7	−	−	PROPN
cana-4274	235	8	−=	−=	VERB
cana-4274	235	9	n	n	PROPN
cana-4274	235	10	n	n	PROPN
cana-4274	235	11	nc	nc	PROPN
cana-4274	235	12			PROPN
cana-4274	235	13	(	(	PUNCT
cana-4274	235	14	11	11	NUM
cana-4274	235	15	)	)	PUNCT
cana-4274	235	16	where	where	SCONJ
cana-4274	235	17	)	)	PUNCT
cana-4274	235	18	(	(	PUNCT
cana-4274	235	19	nc	nc	PROPN
cana-4274	235	20	–	–	PUNCT
cana-4274	235	21	window	window	NOUN
cana-4274	235	22	frequency	frequency	NOUN
cana-4274	235	23	at	at	ADP
cana-4274	235	24	sample	sample	NOUN
cana-4274	235	25	index	index	NOUN
cana-4274	235	26	"	"	PUNCT
cana-4274	235	27	n	n	CCONJ
cana-4274	235	28	,	,	PUNCT
cana-4274	235	29	"	"	PUNCT
cana-4274	235	30	n	n	X
cana-4274	235	31	being	be	AUX
cana-4274	235	32	the	the	DET
cana-4274	235	33	window	window	NOUN
cana-4274	235	34	's	's	PART
cana-4274	235	35	length	length	NOUN
cana-4274	235	36	,	,	PUNCT
cana-4274	235	37	and	and	CCONJ
cana-4274	235	38	π	π	X
cana-4274	235	39	being	be	AUX
cana-4274	235	40	an	an	DET
cana-4274	235	41	integer	integer	NOUN
cana-4274	235	42	with	with	ADP
cana-4274	235	43	a	a	DET
cana-4274	235	44	value	value	NOUN
cana-4274	235	45	of	of	ADP
cana-4274	235	46	3.14	3.14	NUM
cana-4274	235	47	.	.	PUNCT
cana-4274	236	1	next	next	ADJ
cana-4274	236	2	,	,	PUNCT
cana-4274	236	3	just	just	ADV
cana-4274	236	4	a	a	DET
cana-4274	236	5	brief	brief	ADJ
cana-4274	236	6	fourier	fourier	NOUN
cana-4274	236	7	transform	transform	NOUN
cana-4274	236	8	(	(	PUNCT
cana-4274	236	9	stft	stft	PROPN
cana-4274	236	10	)	)	PUNCT
cana-4274	236	11	is	be	AUX
cana-4274	236	12	used	use	VERB
cana-4274	236	13	to	to	PART
cana-4274	236	14	transfer	transfer	VERB
cana-4274	236	15	the	the	DET
cana-4274	236	16	data	datum	NOUN
cana-4274	236	17	frames	frame	NOUN
cana-4274	236	18	to	to	ADP
cana-4274	236	19	the	the	DET
cana-4274	236	20	frequency	frequency	NOUN
cana-4274	236	21	domain	domain	NOUN
cana-4274	236	22	.	.	PUNCT
cana-4274	237	1	the	the	DET
cana-4274	237	2	stft	stft	PROPN
cana-4274	237	3	's	's	PART
cana-4274	237	4	mathematical	mathematical	ADJ
cana-4274	237	5	equation	equation	NOUN
cana-4274	237	6	is	be	AUX
cana-4274	237	7	as	as	SCONJ
cana-4274	237	8	follows	follow	VERB
cana-4274	237	9	:	:	PUNCT
cana-4274	237	10			NOUN
cana-4274	237	11			ADV
cana-4274	237	12			PROPN
cana-4274	237	13			VERB
cana-4274	237	14	djetdatstft	djetdatstft	NOUN
cana-4274	237	15	a	a	PRON
cana-4274	237	16	)	)	PUNCT
cana-4274	237	17	}	}	PUNCT
cana-4274	237	18	(	(	PUNCT
cana-4274	237	19	)	)	PUNCT
cana-4274	237	20	(	(	PUNCT
cana-4274	237	21	)	)	PUNCT
cana-4274	237	22	,	,	PUNCT
cana-4274	237	23	(	(	PUNCT
cana-4274	237	24	−−−=	−−−=	NOUN
cana-4274	237	25	(	(	PUNCT
cana-4274	237	26	12	12	NUM
cana-4274	237	27	)	)	PUNCT
cana-4274	237	28	where	where	SCONJ
cana-4274	237	29	"	"	PUNCT
cana-4274	237	30	d(τ	d(τ	PROPN
cana-4274	237	31	)	)	PUNCT
cana-4274	237	32	"	"	PUNCT
cana-4274	237	33	is	be	AUX
cana-4274	237	34	the	the	DET
cana-4274	237	35	initial	initial	ADJ
cana-4274	237	36	signal	signal	NOUN
cana-4274	237	37	,	,	PUNCT
cana-4274	237	38	"	"	PUNCT
cana-4274	237	39	ω	ω	X
cana-4274	237	40	"	"	PUNCT
cana-4274	237	41	is	be	AUX
cana-4274	237	42	its	its	PRON
cana-4274	237	43	bandwidth	bandwidth	ADJ
cana-4274	237	44	index	index	NOUN
cana-4274	237	45	,	,	PUNCT
cana-4274	237	46	and	and	CCONJ
cana-4274	237	47	"	"	PUNCT
cana-4274	237	48	t	t	PROPN
cana-4274	237	49	"	"	PUNCT
cana-4274	237	50	is	be	AUX
cana-4274	237	51	a	a	DET
cana-4274	237	52	window	window	NOUN
cana-4274	237	53	's	's	PART
cana-4274	237	54	temporal	temporal	ADJ
cana-4274	237	55	index	index	NOUN
cana-4274	237	56	.	.	PUNCT
cana-4274	238	1	the	the	DET
cana-4274	238	2	windowing	windowing	NOUN
cana-4274	238	3	function	function	NOUN
cana-4274	238	4	w(τ	w(τ	PROPN
cana-4274	238	5	t	t	PROPN
cana-4274	238	6	)	)	PUNCT
cana-4274	238	7	revolves	revolve	VERB
cana-4274	238	8	at	at	ADP
cana-4274	238	9	time	time	NOUN
cana-4274	238	10	'	'	PUNCT
cana-4274	238	11	t	t	NOUN
cana-4274	238	12	'	'	PUNCT
cana-4274	238	13	,	,	PUNCT
cana-4274	238	14	with	with	ADP
cana-4274	238	15	'	'	PUNCT
cana-4274	238	16	j	j	X
cana-4274	238	17	'	'	PUNCT
cana-4274	238	18	serving	serve	VERB
cana-4274	238	19	as	as	ADP
cana-4274	238	20	the	the	DET
cana-4274	238	21	imaginary	imaginary	ADJ
cana-4274	238	22	unit	unit	NOUN
cana-4274	238	23	.	.	PUNCT
cana-4274	239	1	an	an	DET
cana-4274	239	2	important	important	ADJ
cana-4274	239	3	quantity	quantity	NOUN
cana-4274	239	4	of	of	ADP
cana-4274	239	5	"	"	PUNCT
cana-4274	239	6	sub	sub	ADJ
cana-4274	239	7	-	-	ADJ
cana-4274	239	8	band	band	ADJ
cana-4274	239	9	"	"	PUNCT
cana-4274	239	10	energies	energy	NOUN
cana-4274	239	11	are	be	AUX
cana-4274	239	12	computed	compute	VERB
cana-4274	239	13	by	by	ADP
cana-4274	239	14	use	use	NOUN
cana-4274	239	15	of	of	ADP
cana-4274	239	16	a	a	DET
cana-4274	239	17	"	"	PUNCT
cana-4274	239	18	mel	mel	PROPN
cana-4274	239	19	filter	filter	PROPN
cana-4274	239	20	bank	bank	PROPN
cana-4274	239	21	,	,	PUNCT
cana-4274	239	22	"	"	PUNCT
cana-4274	239	23	a	a	DET
cana-4274	239	24	nonlinearscale	nonlinearscale	ADJ
cana-4274	239	25	filtering	filter	VERB
cana-4274	239	26	bank	bank	NOUN
cana-4274	239	27	designed	design	VERB
cana-4274	239	28	to	to	PART
cana-4274	239	29	mimic	mimic	VERB
cana-4274	239	30	the	the	DET
cana-4274	239	31	human	human	ADJ
cana-4274	239	32	auditory	auditory	ADJ
cana-4274	239	33	system	system	NOUN
cana-4274	239	34	.	.	PUNCT
cana-4274	240	1			PROPN
cana-4274	240	2			PROPN
cana-4274	240	3			PRON
cana-4274	240	4			PROPN
cana-4274	240	5			PROPN
cana-4274	240	6			NOUN
cana-4274	241	1	+	+	NOUN
cana-4274	241	2	=	=	NOUN
cana-4274	241	3	700	700	NUM
cana-4274	241	4	110	110	NUM
cana-4274	241	5	*	*	NUM
cana-4274	241	6	2595	2595	NUM
cana-4274	241	7	)	)	PUNCT
cana-4274	241	8	(	(	PUNCT
cana-4274	241	9	f	f	PROPN
cana-4274	241	10	logfmel	logfmel	PROPN
cana-4274	241	11	(	(	PUNCT
cana-4274	241	12	13	13	NUM
cana-4274	241	13	)	)	PUNCT
cana-4274	241	14	where	where	SCONJ
cana-4274	241	15	‘	'	PUNCT
cana-4274	241	16	f	f	X
cana-4274	241	17	’	'	PUNCT
cana-4274	241	18	is	be	AUX
cana-4274	241	19	the	the	DET
cana-4274	241	20	frequency	frequency	NOUN
cana-4274	241	21	in	in	ADP
cana-4274	241	22	hz	hz	PROPN
cana-4274	241	23	.	.	PUNCT
cana-4274	242	1	3.2.3	3.2.3	X
cana-4274	242	2	.	.	X
cana-4274	242	3	visual	visual	ADJ
cana-4274	242	4	features	feature	NOUN
cana-4274	242	5	are	be	AUX
cana-4274	242	6	extracted	extract	VERB
cana-4274	242	7	using	use	VERB
cana-4274	242	8	squeezenet	squeezenet	NOUN
cana-4274	242	9	in	in	ADP
cana-4274	242	10	squeezenet	squeezenet	NOUN
cana-4274	242	11	,	,	PUNCT
cana-4274	242	12	there	there	PRON
cana-4274	242	13	are	be	VERB
cana-4274	242	14	18	18	NUM
cana-4274	242	15	layers	layer	NOUN
cana-4274	242	16	of	of	ADP
cana-4274	242	17	convolutional	convolutional	ADJ
cana-4274	242	18	neural	neural	ADJ
cana-4274	242	19	networks	network	NOUN
cana-4274	242	20	.	.	PUNCT
cana-4274	243	1	imagenet	imagenet	PROPN
cana-4274	243	2	offers	offer	VERB
cana-4274	243	3	a	a	DET
cana-4274	243	4	pretrained	pretraine	VERB
cana-4274	243	5	version	version	NOUN
cana-4274	243	6	of	of	ADP
cana-4274	243	7	the	the	DET
cana-4274	243	8	network	network	NOUN
cana-4274	243	9	more	more	ADJ
cana-4274	243	10	than	than	ADP
cana-4274	243	11	a	a	DET
cana-4274	243	12	million	million	NUM
cana-4274	243	13	images	image	NOUN
cana-4274	243	14	on	on	ADP
cana-4274	243	15	trained	train	VERB
cana-4274	243	16	.	.	PUNCT
cana-4274	244	1	it	it	PRON
cana-4274	244	2	is	be	AUX
cana-4274	244	3	capable	capable	ADJ
cana-4274	244	4	classifying	classify	VERB
cana-4274	244	5	images	image	NOUN
cana-4274	244	6	of	of	ADP
cana-4274	244	7	into	into	ADP
cana-4274	244	8	1000	1000	NUM
cana-4274	244	9	categories	category	NOUN
cana-4274	244	10	,	,	PUNCT
cana-4274	244	11	including	include	VERB
cana-4274	244	12	keyboards	keyboard	NOUN
cana-4274	244	13	,	,	PUNCT
cana-4274	244	14	mousers	mouser	NOUN
cana-4274	244	15	,	,	PUNCT
cana-4274	244	16	pencils	pencil	NOUN
cana-4274	244	17	,	,	PUNCT
cana-4274	244	18	and	and	CCONJ
cana-4274	244	19	many	many	ADJ
cana-4274	244	20	animals	animal	NOUN
cana-4274	244	21	.	.	PUNCT
cana-4274	245	1	with	with	ADP
cana-4274	245	2	this	this	DET
cana-4274	245	3	learning	learning	NOUN
cana-4274	245	4	process	process	NOUN
cana-4274	245	5	,	,	PUNCT
cana-4274	245	6	the	the	DET
cana-4274	245	7	network	network	NOUN
cana-4274	245	8	is	be	AUX
cana-4274	245	9	now	now	ADV
cana-4274	245	10	able	able	ADJ
cana-4274	245	11	to	to	PART
cana-4274	245	12	represent	represent	VERB
cana-4274	245	13	a	a	DET
cana-4274	245	14	variety	variety	NOUN
cana-4274	245	15	of	of	ADP
cana-4274	245	16	images	image	NOUN
cana-4274	245	17	using	use	VERB
cana-4274	245	18	rich	rich	ADJ
cana-4274	245	19	feature	feature	NOUN
cana-4274	245	20	representations	representation	NOUN
cana-4274	245	21	.	.	PUNCT
cana-4274	246	1	it	it	PRON
cana-4274	246	2	produces	produce	VERB
cana-4274	246	3	communications	communication	NOUN
cana-4274	246	4	on	on	ADP
cana-4274	246	5	applied	apply	VERB
cana-4274	246	6	nonlinear	nonlinear	ADJ
cana-4274	246	7	analysis	analysis	NOUN
cana-4274	246	8	issn	issn	NOUN
cana-4274	246	9	:	:	PUNCT
cana-4274	246	10	1074	1074	NUM
cana-4274	246	11	-	-	PUNCT
cana-4274	246	12	133x	133x	NUM
cana-4274	246	13	vol	vol	NOUN
cana-4274	246	14	32	32	NUM
cana-4274	246	15	no	no	NOUN
cana-4274	246	16	.	.	PUNCT
cana-4274	247	1	9s	9s	NUM
cana-4274	247	2	(	(	PUNCT
cana-4274	247	3	2025	2025	NUM
cana-4274	247	4	)	)	PUNCT
cana-4274	247	5	1687	1687	NUM
cana-4274	247	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	247	7	a	a	DET
cana-4274	247	8	squeezenet	squeezenet	NOUN
cana-4274	247	9	network	network	NOUN
cana-4274	247	10	with	with	ADP
cana-4274	247	11	similar	similar	ADJ
cana-4274	247	12	accuracy	accuracy	NOUN
cana-4274	247	13	to	to	ADP
cana-4274	247	14	squeezenet	squeezenet	NOUN
cana-4274	247	15	,	,	PUNCT
cana-4274	247	16	but	but	CCONJ
cana-4274	247	17	with	with	ADP
cana-4274	247	18	fewer	few	ADJ
cana-4274	247	19	floating	float	VERB
cana-4274	247	20	-	-	PUNCT
cana-4274	247	21	point	point	NOUN
cana-4274	247	22	operations	operation	NOUN
cana-4274	247	23	per	per	ADP
cana-4274	247	24	prediction.227	prediction.227	NOUN
cana-4274	247	25	-	-	PUNCT
cana-4274	247	26	by-227	by-227	NOUN
cana-4274	247	27	is	be	AUX
cana-4274	247	28	the	the	DET
cana-4274	247	29	image	image	NOUN
cana-4274	247	30	input	input	NOUN
cana-4274	247	31	size	size	NOUN
cana-4274	247	32	of	of	ADP
cana-4274	247	33	the	the	DET
cana-4274	247	34	network	network	NOUN
cana-4274	247	35	.	.	PUNCT
cana-4274	248	1	this	this	DET
cana-4274	248	2	section	section	NOUN
cana-4274	248	3	outlines	outline	VERB
cana-4274	248	4	for	for	ADP
cana-4274	248	5	squeezenet	squeezenet	NOUN
cana-4274	248	6	architectures	architecture	NOUN
cana-4274	248	7	with	with	ADP
cana-4274	248	8	few	few	ADJ
cana-4274	248	9	parameters	parameter	NOUN
cana-4274	248	10	.	.	PUNCT
cana-4274	249	1	here	here	ADV
cana-4274	249	2	,	,	PUNCT
cana-4274	249	3	the	the	DET
cana-4274	249	4	fire	fire	NOUN
cana-4274	249	5	module	module	NOUN
cana-4274	249	6	introduced	introduce	VERB
cana-4274	249	7	,	,	PUNCT
cana-4274	249	8	to	to	PART
cana-4274	249	9	build	build	VERB
cana-4274	249	10	gated	gate	VERB
cana-4274	249	11	network	network	NOUN
cana-4274	249	12	by	by	ADP
cana-4274	249	13	new	new	ADJ
cana-4274	249	14	building	building	NOUN
cana-4274	249	15	block	block	NOUN
cana-4274	249	16	.	.	PUNCT
cana-4274	250	1	fire	fire	NOUN
cana-4274	250	2	module	module	NOUN
cana-4274	250	3	is	be	AUX
cana-4274	250	4	mainly	mainly	ADV
cana-4274	250	5	comprised	comprise	VERB
cana-4274	250	6	by	by	ADP
cana-4274	250	7	design	design	NOUN
cana-4274	250	8	to	to	PART
cana-4274	250	9	construct	construct	VERB
cana-4274	250	10	squeezenet	squeezenet	NOUN
cana-4274	250	11	.	.	PUNCT
cana-4274	251	1	gated	gate	VERB
cana-4274	251	2	network	network	NOUN
cana-4274	251	3	,	,	PUNCT
cana-4274	251	4	such	such	ADJ
cana-4274	251	5	as	as	ADP
cana-4274	251	6	squeezenet	squeezenet	NOUN
cana-4274	251	7	have	have	VERB
cana-4274	251	8	18	18	NUM
cana-4274	251	9	layers	layer	NOUN
cana-4274	251	10	.	.	PUNCT
cana-4274	252	1	the	the	DET
cana-4274	252	2	squeezenet	squeezenet	NOUN
cana-4274	252	3	starts	start	VERB
cana-4274	252	4	with	with	ADP
cana-4274	252	5	a	a	DET
cana-4274	252	6	standalone	standalone	ADJ
cana-4274	252	7	conv	conv	PROPN
cana-4274	252	8	gru	gru	PROPN
cana-4274	252	9	,	,	PUNCT
cana-4274	252	10	8	8	NUM
cana-4274	252	11	fire	fire	NOUN
cana-4274	252	12	module	module	NOUN
cana-4274	252	13	(	(	PUNCT
cana-4274	252	14	fire2	fire2	PROPN
cana-4274	252	15	-	-	PROPN
cana-4274	252	16	10	10	NUM
cana-4274	252	17	)	)	PUNCT
cana-4274	252	18	by	by	ADP
cana-4274	252	19	followed	follow	VERB
cana-4274	252	20	,	,	PUNCT
cana-4274	252	21	final	final	ADJ
cana-4274	252	22	fire	fire	NOUN
cana-4274	252	23	module	module	NOUN
cana-4274	252	24	(	(	PUNCT
cana-4274	252	25	fire10	fire10	ADJ
cana-4274	252	26	)	)	PUNCT
cana-4274	252	27	by	by	ADP
cana-4274	252	28	end	end	NOUN
cana-4274	252	29	.	.	PUNCT
cana-4274	253	1	from	from	ADP
cana-4274	253	2	beginning	begin	VERB
cana-4274	253	3	to	to	ADP
cana-4274	253	4	end	end	NOUN
cana-4274	253	5	of	of	ADP
cana-4274	253	6	network	network	NOUN
cana-4274	253	7	,	,	PUNCT
cana-4274	253	8	number	number	NOUN
cana-4274	253	9	of	of	ADP
cana-4274	253	10	filters	filter	NOUN
cana-4274	253	11	per	per	ADP
cana-4274	253	12	fire	fire	NOUN
cana-4274	253	13	module	module	NOUN
cana-4274	253	14	gradually	gradually	ADV
cana-4274	253	15	increased	increase	VERB
cana-4274	253	16	.	.	PUNCT
cana-4274	254	1	after	after	ADP
cana-4274	254	2	layers	layer	NOUN
cana-4274	254	3	fire4	fire4	PROPN
cana-4274	254	4	,	,	PUNCT
cana-4274	254	5	fire8	fire8	NOUN
cana-4274	254	6	,	,	PUNCT
cana-4274	254	7	conv1	conv1	NOUN
cana-4274	254	8	,	,	PUNCT
cana-4274	254	9	and	and	CCONJ
cana-4274	254	10	conv10	conv10	PROPN
cana-4274	254	11	,	,	PUNCT
cana-4274	254	12	squeezenet	squeezenet	NOUN
cana-4274	254	13	performs	perform	VERB
cana-4274	254	14	max	max	PROPN
cana-4274	254	15	-	-	PUNCT
cana-4274	254	16	pooling	pooling	NOUN
cana-4274	254	17	;	;	PUNCT
cana-4274	254	18	these	these	DET
cana-4274	254	19	relatively	relatively	ADV
cana-4274	254	20	late	late	ADJ
cana-4274	254	21	times	time	NOUN
cana-4274	254	22	correspond	correspond	ADV
cana-4274	254	23	.	.	PUNCT
cana-4274	255	1	figure	figure	NOUN
cana-4274	255	2	3	3	NUM
cana-4274	255	3	shows	show	VERB
cana-4274	255	4	the	the	DET
cana-4274	255	5	architecture	architecture	NOUN
cana-4274	255	6	of	of	ADP
cana-4274	255	7	squeezenet	squeezenet	NOUN
cana-4274	255	8	.	.	PUNCT
cana-4274	256	1	figure	figure	VERB
cana-4274	256	2	3	3	NUM
cana-4274	256	3	:	:	PUNCT
cana-4274	256	4	architecture	architecture	NOUN
cana-4274	256	5	of	of	ADP
cana-4274	256	6	squeezenet	squeezenet	NOUN
cana-4274	256	7	.	.	PUNCT
cana-4274	257	1	•	•	NUM
cana-4274	257	2	add	add	VERB
cana-4274	257	3	a	a	DET
cana-4274	257	4	1	1	NUM
cana-4274	257	5	-	-	PUNCT
cana-4274	257	6	pixel	pixel	ADJ
cana-4274	257	7	edge	edge	NOUN
cana-4274	257	8	of	of	ADP
cana-4274	257	9	zero	zero	NUM
cana-4274	257	10	-	-	PUNCT
cana-4274	257	11	padding	padding	NOUN
cana-4274	257	12	to	to	AUX
cana-4274	257	13	output	output	NOUN
cana-4274	257	14	activations	activation	NOUN
cana-4274	257	15	in	in	ADP
cana-4274	257	16	input	input	NOUN
cana-4274	257	17	data	datum	NOUN
cana-4274	257	18	to	to	ADP
cana-4274	257	19	3x3	3x3	NUM
cana-4274	257	20	filters	filter	NOUN
cana-4274	257	21	of	of	ADP
cana-4274	257	22	expand	expand	NOUN
cana-4274	257	23	module	module	NOUN
cana-4274	257	24	,	,	PUNCT
cana-4274	257	25	from	from	ADP
cana-4274	257	26	1x1	1x1	NUM
cana-4274	257	27	and	and	CCONJ
cana-4274	257	28	3x3	3x3	NUM
cana-4274	257	29	filters	filter	NOUN
cana-4274	257	30	.	.	PUNCT
cana-4274	258	1	•	•	NUM
cana-4274	258	2	layers	layer	NOUN
cana-4274	258	3	squeezenet	squeezenet	NOUN
cana-4274	258	4	and	and	CCONJ
cana-4274	258	5	expand	expand	VERB
cana-4274	258	6	are	be	AUX
cana-4274	258	7	activated	activate	VERB
cana-4274	258	8	by	by	ADP
cana-4274	258	9	relu	relu	NOUN
cana-4274	258	10	.	.	PUNCT
cana-4274	259	1	•	•	NOUN
cana-4274	259	2	after	after	ADP
cana-4274	259	3	the	the	DET
cana-4274	259	4	fire9	fire9	PROPN
cana-4274	259	5	module	module	NOUN
cana-4274	259	6	,	,	PUNCT
cana-4274	259	7	a	a	DET
cana-4274	259	8	dropout	dropout	NOUN
cana-4274	259	9	ratio	ratio	NOUN
cana-4274	259	10	of	of	ADP
cana-4274	259	11	50	50	NUM
cana-4274	259	12	%	%	NOUN
cana-4274	259	13	is	be	AUX
cana-4274	259	14	applied	apply	VERB
cana-4274	259	15	.	.	PUNCT
cana-4274	260	1	•	•	NUM
cana-4274	260	2	squeezenet	squeezenet	NOUN
cana-4274	260	3	was	be	AUX
cana-4274	260	4	modeled	model	VERB
cana-4274	260	5	after	after	ADP
cana-4274	260	6	the	the	DET
cana-4274	260	7	nin	nin	PROPN
cana-4274	260	8	design	design	NOUN
cana-4274	260	9	;	;	PUNCT
cana-4274	260	10	it	it	PRON
cana-4274	260	11	does	do	AUX
cana-4274	260	12	not	not	PART
cana-4274	260	13	have	have	VERB
cana-4274	260	14	layers	layer	NOUN
cana-4274	260	15	that	that	PRON
cana-4274	260	16	are	be	AUX
cana-4274	260	17	completely	completely	ADV
cana-4274	260	18	interconnected	interconnected	ADJ
cana-4274	260	19	.	.	PUNCT
cana-4274	261	1	•	•	NUM
cana-4274	261	2	squeezenet	squeezenet	NOUN
cana-4274	261	3	trained	train	VERB
cana-4274	261	4	using	use	VERB
cana-4274	261	5	a	a	DET
cana-4274	261	6	learning	learning	NOUN
cana-4274	261	7	pace	pace	NOUN
cana-4274	261	8	of	of	ADP
cana-4274	261	9	0.04	0.04	NUM
cana-4274	261	10	,	,	PUNCT
cana-4274	261	11	which	which	PRON
cana-4274	261	12	decreases	decrease	VERB
cana-4274	261	13	linearly	linearly	ADV
cana-4274	261	14	over	over	ADP
cana-4274	261	15	time	time	NOUN
cana-4274	261	16	.	.	PUNCT
cana-4274	262	1	•	•	NUM
cana-4274	262	2	using	use	VERB
cana-4274	262	3	canton	canton	PROPN
cana-4274	262	4	framework	framework	NOUN
cana-4274	262	5	,	,	PUNCT
cana-4274	262	6	convgru	convgru	PROPN
cana-4274	262	7	can	can	AUX
cana-4274	262	8	be	be	AUX
cana-4274	262	9	implemented	implement	VERB
cana-4274	262	10	very	very	ADV
cana-4274	262	11	easily	easily	ADV
cana-4274	262	12	.	.	PUNCT
cana-4274	263	1	convert2d	convert2d	PROPN
cana-4274	263	2	can	can	AUX
cana-4274	263	3	be	be	AUX
cana-4274	263	4	used	use	VERB
cana-4274	263	5	as	as	ADP
cana-4274	263	6	a	a	DET
cana-4274	263	7	replacement	replacement	NOUN
cana-4274	263	8	for	for	ADP
cana-4274	263	9	dense	dense	ADJ
cana-4274	263	10	layers	layer	NOUN
cana-4274	263	11	.	.	PUNCT
cana-4274	264	1	fire	fire	NOUN
cana-4274	264	2	modules	module	NOUN
cana-4274	264	3	3	3	NUM
cana-4274	264	4	,	,	PUNCT
cana-4274	264	5	5	5	NUM
cana-4274	264	6	,	,	PUNCT
cana-4274	264	7	7	7	NUM
cana-4274	264	8	,	,	PUNCT
cana-4274	264	9	and	and	CCONJ
cana-4274	264	10	9	9	NUM
cana-4274	264	11	are	be	AUX
cana-4274	264	12	bypassed	bypass	VERB
cana-4274	264	13	using	use	VERB
cana-4274	264	14	squeeze	squeeze	NOUN
cana-4274	264	15	net	net	ADJ
cana-4274	264	16	simple	simple	ADJ
cana-4274	264	17	bypass	bypass	NOUN
cana-4274	264	18	architecture	architecture	NOUN
cana-4274	264	19	,	,	PUNCT
cana-4274	264	20	with	with	ADP
cana-4274	264	21	input	input	NOUN
cana-4274	264	22	and	and	CCONJ
cana-4274	264	23	output	output	NOUN
cana-4274	264	24	residual	residual	ADJ
cana-4274	264	25	functions	function	NOUN
cana-4274	264	26	being	be	AUX
cana-4274	264	27	learned.an	learned.an	DET
cana-4274	264	28	element	element	ADJ
cana-4274	264	29	-	-	ADJ
cana-4274	264	30	wise	wise	ADJ
cana-4274	264	31	addition	addition	NOUN
cana-4274	264	32	is	be	AUX
cana-4274	264	33	used	use	VERB
cana-4274	264	34	in	in	ADP
cana-4274	264	35	this	this	DET
cana-4274	264	36	case	case	NOUN
cana-4274	264	37	,	,	PUNCT
cana-4274	264	38	where	where	SCONJ
cana-4274	264	39	the	the	DET
cana-4274	264	40	+	+	NUM
cana-4274	264	41	operator	operator	NOUN
cana-4274	264	42	is	be	AUX
cana-4274	264	43	used	use	VERB
cana-4274	264	44	to	to	PART
cana-4274	264	45	put	put	VERB
cana-4274	264	46	in	in	ADP
cana-4274	264	47	place	place	NOUN
cana-4274	264	48	a	a	DET
cana-4274	264	49	connection	connection	NOUN
cana-4274	264	50	bypassing	bypass	VERB
cana-4274	264	51	fire3	fire3	PROPN
cana-4274	264	52	.	.	PUNCT
cana-4274	265	1	as	as	ADP
cana-4274	265	2	a	a	DET
cana-4274	265	3	result	result	NOUN
cana-4274	265	4	,	,	PUNCT
cana-4274	265	5	as	as	SCONJ
cana-4274	265	6	a	a	DET
cana-4274	265	7	simple	simple	ADJ
cana-4274	265	8	bypass	bypass	NOUN
cana-4274	265	9	connection	connection	NOUN
cana-4274	265	10	can	can	AUX
cana-4274	265	11	only	only	ADV
cana-4274	265	12	be	be	AUX
cana-4274	265	13	implemented	implement	VERB
cana-4274	265	14	with	with	ADP
cana-4274	265	15	half	half	DET
cana-4274	265	16	the	the	DET
cana-4274	265	17	fire	fire	NOUN
cana-4274	265	18	modules	module	NOUN
cana-4274	265	19	,	,	PUNCT
cana-4274	265	20	quantity	quantity	NOUN
cana-4274	265	21	of	of	ADP
cana-4274	265	22	output	output	NOUN
cana-4274	265	23	and	and	CCONJ
cana-4274	265	24	input	input	NOUN
cana-4274	265	25	channels	channel	NOUN
cana-4274	265	26	,	,	PUNCT
cana-4274	265	27	in	in	ADP
cana-4274	265	28	straightforward	straightforward	ADJ
cana-4274	265	29	case	case	NOUN
cana-4274	265	30	must	must	AUX
cana-4274	265	31	match	match	VERB
cana-4274	265	32	.	.	PUNCT
cana-4274	266	1	a	a	DET
cana-4274	266	2	complex	complex	ADJ
cana-4274	266	3	bypass	bypass	NOUN
cana-4274	266	4	connection	connection	NOUN
cana-4274	266	5	can	can	AUX
cana-4274	266	6	be	be	AUX
cana-4274	266	7	used	use	VERB
cana-4274	266	8	when	when	SCONJ
cana-4274	266	9	requirements	requirement	NOUN
cana-4274	266	10	for	for	ADP
cana-4274	266	11	"	"	PUNCT
cana-4274	266	12	same	same	ADJ
cana-4274	266	13	number	number	NOUN
cana-4274	266	14	of	of	ADP
cana-4274	266	15	channels	channel	NOUN
cana-4274	266	16	"	"	PUNCT
cana-4274	266	17	can	can	AUX
cana-4274	266	18	not	not	PART
cana-4274	266	19	met	meet	VERB
cana-4274	266	20	.	.	PUNCT
cana-4274	267	1	in	in	ADP
cana-4274	267	2	contrast	contrast	NOUN
cana-4274	267	3	to	to	ADP
cana-4274	267	4	simple	simple	ADJ
cana-4274	267	5	bypasses	bypass	NOUN
cana-4274	267	6	,	,	PUNCT
cana-4274	267	7	complex	complex	ADJ
cana-4274	267	8	bypasses	bypass	NOUN
cana-4274	267	9	include	include	VERB
cana-4274	267	10	a	a	DET
cana-4274	267	11	1x1	1x1	NUM
cana-4274	267	12	convolution	convolution	NOUN
cana-4274	267	13	layer	layer	NOUN
cana-4274	267	14	through	through	ADP
cana-4274	267	15	as	as	ADV
cana-4274	267	16	many	many	ADJ
cana-4274	267	17	filters	filter	NOUN
cana-4274	267	18	as	as	SCONJ
cana-4274	267	19	there	there	PRON
cana-4274	267	20	are	be	VERB
cana-4274	267	21	output	output	NOUN
cana-4274	267	22	channels	channel	NOUN
cana-4274	267	23	.	.	PUNCT
cana-4274	268	1	there	there	PRON
cana-4274	268	2	is	be	VERB
cana-4274	268	3	an	an	DET
cana-4274	268	4	additional	additional	ADJ
cana-4274	268	5	communications	communication	NOUN
cana-4274	268	6	on	on	ADP
cana-4274	268	7	applied	apply	VERB
cana-4274	268	8	nonlinear	nonlinear	ADJ
cana-4274	268	9	analysis	analysis	NOUN
cana-4274	268	10	issn	issn	NOUN
cana-4274	268	11	:	:	PUNCT
cana-4274	268	12	1074	1074	NUM
cana-4274	268	13	-	-	PUNCT
cana-4274	268	14	133x	133x	NUM
cana-4274	268	15	vol	vol	NOUN
cana-4274	268	16	32	32	NUM
cana-4274	268	17	no	no	NOUN
cana-4274	268	18	.	.	PUNCT
cana-4274	269	1	9s	9s	NUM
cana-4274	269	2	(	(	PUNCT
cana-4274	269	3	2025	2025	NUM
cana-4274	269	4	)	)	PUNCT
cana-4274	269	5	1688	1688	NUM
cana-4274	269	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	269	7	parameter	parameter	NOUN
cana-4274	269	8	for	for	ADP
cana-4274	269	9	complex	complex	ADJ
cana-4274	269	10	bypass	bypass	NOUN
cana-4274	269	11	connections	connection	NOUN
cana-4274	269	12	,	,	PUNCT
cana-4274	269	13	while	while	SCONJ
cana-4274	269	14	there	there	PRON
cana-4274	269	15	is	be	VERB
cana-4274	269	16	no	no	DET
cana-4274	269	17	additional	additional	ADJ
cana-4274	269	18	parameter	parameter	NOUN
cana-4274	269	19	for	for	ADP
cana-4274	269	20	simple	simple	ADJ
cana-4274	269	21	bypass	bypass	NOUN
cana-4274	269	22	connections	connection	NOUN
cana-4274	269	23	.	.	PUNCT
cana-4274	270	1	3.3	3.3	NUM
cana-4274	270	2	.	.	PUNCT
cana-4274	270	3	multimodal	multimodal	NOUN
cana-4274	270	4	data	datum	NOUN
cana-4274	270	5	fusion	fusion	NOUN
cana-4274	270	6	strategy	strategy	NOUN
cana-4274	270	7	it	it	PRON
cana-4274	270	8	is	be	AUX
cana-4274	270	9	necessary	necessary	ADJ
cana-4274	270	10	to	to	PART
cana-4274	270	11	specify	specify	VERB
cana-4274	270	12	documentation	documentation	NOUN
cana-4274	270	13	before	before	ADP
cana-4274	270	14	using	use	VERB
cana-4274	270	15	the	the	DET
cana-4274	270	16	dempster	dempster	PROPN
cana-4274	270	17	-	-	PUNCT
cana-4274	270	18	shafer	shafer	PROPN
cana-4274	270	19	(	(	PUNCT
cana-4274	270	20	ds	ds	ADJ
cana-4274	270	21	)	)	PUNCT
cana-4274	270	22	aggregation	aggregation	NOUN
cana-4274	270	23	technique	technique	NOUN
cana-4274	270	24	to	to	PART
cana-4274	270	25	perform	perform	VERB
cana-4274	270	26	multisensory	multisensory	NOUN
cana-4274	270	27	fusion	fusion	NOUN
cana-4274	270	28	.	.	PUNCT
cana-4274	271	1	the	the	DET
cana-4274	271	2	results	result	NOUN
cana-4274	271	3	of	of	ADP
cana-4274	271	4	the	the	DET
cana-4274	271	5	textual	textual	ADJ
cana-4274	271	6	,	,	PUNCT
cana-4274	271	7	audio	audio	NOUN
cana-4274	271	8	,	,	PUNCT
cana-4274	271	9	and	and	CCONJ
cana-4274	271	10	visual	visual	ADJ
cana-4274	271	11	feature	feature	NOUN
cana-4274	271	12	extraction	extraction	NOUN
cana-4274	271	13	and	and	CCONJ
cana-4274	271	14	module	module	NOUN
cana-4274	271	15	processes	process	NOUN
cana-4274	271	16	are	be	AUX
cana-4274	271	17	taken	take	VERB
cana-4274	271	18	into	into	ADP
cana-4274	271	19	consideration	consideration	NOUN
cana-4274	271	20	in	in	ADP
cana-4274	271	21	this	this	DET
cana-4274	271	22	study	study	NOUN
cana-4274	271	23	as	as	ADP
cana-4274	271	24	proof	proof	NOUN
cana-4274	271	25	for	for	ADP
cana-4274	271	26	the	the	DET
cana-4274	271	27	ultimate	ultimate	ADJ
cana-4274	271	28	emotion	emotion	NOUN
cana-4274	271	29	classification	classification	NOUN
cana-4274	271	30	of	of	ADP
cana-4274	271	31	each	each	DET
cana-4274	271	32	feature	feature	NOUN
cana-4274	271	33	.	.	PUNCT
cana-4274	272	1	essential	essential	ADJ
cana-4274	272	2	the	the	DET
cana-4274	272	3	definition	definition	NOUN
cana-4274	272	4	of	of	ADP
cana-4274	272	5	the	the	DET
cana-4274	272	6	evidence	evidence	NOUN
cana-4274	272	7	,	,	PUNCT
cana-4274	272	8	the	the	DET
cana-4274	272	9	mass	mass	NOUN
cana-4274	272	10	function	function	NOUN
cana-4274	272	11	—	—	PUNCT
cana-4274	272	12	a	a	DET
cana-4274	272	13	fundamental	fundamental	ADJ
cana-4274	272	14	probability	probability	NOUN
cana-4274	272	15	assignment	assignment	NOUN
cana-4274	272	16	,	,	PUNCT
cana-4274	272	17	or	or	CCONJ
cana-4274	272	18	bpa	bpa	NOUN
cana-4274	272	19	—	—	PUNCT
cana-4274	272	20	should	should	AUX
cana-4274	272	21	be	be	AUX
cana-4274	272	22	defined	define	VERB
cana-4274	272	23	.	.	PUNCT
cana-4274	273	1	it	it	PRON
cana-4274	273	2	needs	need	VERB
cana-4274	273	3	to	to	PART
cana-4274	273	4	meet	meet	VERB
cana-4274	273	5	the	the	DET
cana-4274	273	6	following	follow	VERB
cana-4274	273	7	requirements	requirement	NOUN
cana-4274	273	8	:	:	PUNCT
cana-4274	273	9	(	(	PUNCT
cana-4274	273	10	)	)	PUNCT
cana-4274	273	11			PROPN
cana-4274	273	12			NOUN
cana-4274	274	1	=	=	NOUN
cana-4274	274	2	=	=	SYM
cana-4274	274	3			X
cana-4274	274	4			NOUN
cana-4274	274	5	2	2	NUM
cana-4274	274	6	1))((0	1))((0	NUM
cana-4274	274	7	)	)	PUNCT
cana-4274	274	8	(	(	PUNCT
cana-4274	274	9	y	y	NOUN
cana-4274	274	10	x	x	X
cana-4274	274	11	ymfandmf	ymfandmf	PROPN
cana-4274	274	12	(	(	PUNCT
cana-4274	274	13	14	14	NUM
cana-4274	274	14	)	)	PUNCT
cana-4274	274	15	where	where	SCONJ
cana-4274	274	16	a	a	DET
cana-4274	274	17	limited	limited	ADJ
cana-4274	274	18	collection	collection	NOUN
cana-4274	274	19	of	of	ADP
cana-4274	274	20	mutually	mutually	ADV
cana-4274	274	21	incompatible	incompatible	ADJ
cana-4274	274	22	hypotheses	hypothesis	NOUN
cana-4274	274	23	is	be	AUX
cana-4274	274	24	represented	represent	VERB
cana-4274	274	25	by	by	ADP
cana-4274	274	26	the	the	DET
cana-4274	274	27	frame	frame	NOUN
cana-4274	274	28	of	of	ADP
cana-4274	274	29	discernment	discernment	NOUN
cana-4274	274	30	,	,	PUNCT
cana-4274	274	31	θ	θ	PROPN
cana-4274	274	32	,	,	PUNCT
cana-4274	274	33	and	and	CCONJ
cana-4274	274	34	}	}	PUNCT
cana-4274	274	35	,	,	PUNCT
cana-4274	274	36	,	,	PUNCT
cana-4274	274	37	(	(	PUNCT
cana-4274	274	38	vatx	vatx	NOUN
cana-4274	274	39	.	.	PUNCT
cana-4274	275	1	t	t	PROPN
cana-4274	275	2	a	a	PRON
cana-4274	275	3	,	,	PUNCT
cana-4274	275	4	and	and	CCONJ
cana-4274	275	5	v	v	NOUN
cana-4274	275	6	are	be	AUX
cana-4274	275	7	the	the	DET
cana-4274	275	8	audio	audio	NOUN
cana-4274	275	9	,	,	PUNCT
cana-4274	275	10	text	text	NOUN
cana-4274	275	11	,	,	PUNCT
cana-4274	275	12	and	and	CCONJ
cana-4274	275	13	visual	visual	ADJ
cana-4274	275	14	modalities	modality	NOUN
cana-4274	275	15	,	,	PUNCT
cana-4274	275	16	respectively	respectively	ADV
cana-4274	275	17	.	.	PUNCT
cana-4274	276	1	a	a	DET
cana-4274	276	2	singleton	singleton	NOUN
cana-4274	276	3	is	be	AUX
cana-4274	276	4	a	a	DET
cana-4274	276	5	class	class	NOUN
cana-4274	276	6	that	that	PRON
cana-4274	276	7	contains	contain	VERB
cana-4274	276	8	only	only	ADV
cana-4274	276	9	one	one	NUM
cana-4274	276	10	element	element	NOUN
cana-4274	276	11	and	and	CCONJ
cana-4274	276	12	is	be	AUX
cana-4274	276	13	disjoint	disjoint	ADJ
cana-4274	276	14	.	.	PUNCT
cana-4274	277	1	this	this	PRON
cana-4274	277	2	is	be	AUX
cana-4274	277	3	true	true	ADJ
cana-4274	277	4	for	for	ADP
cana-4274	277	5	this	this	DET
cana-4274	277	6	particular	particular	ADJ
cana-4274	277	7	study	study	NOUN
cana-4274	277	8	since	since	SCONJ
cana-4274	277	9	it	it	PRON
cana-4274	277	10	made	make	VERB
cana-4274	277	11	the	the	DET
cana-4274	277	12	assumption	assumption	NOUN
cana-4274	277	13	that	that	SCONJ
cana-4274	277	14	every	every	DET
cana-4274	277	15	piece	piece	NOUN
cana-4274	277	16	of	of	ADP
cana-4274	277	17	data	datum	NOUN
cana-4274	277	18	only	only	ADV
cana-4274	277	19	belonged	belong	VERB
cana-4274	277	20	in	in	ADP
cana-4274	277	21	the	the	DET
cana-4274	277	22	emotion	emotion	NOUN
cana-4274	277	23	group	group	NOUN
cana-4274	277	24	.	.	PUNCT
cana-4274	278	1	frame	frame	NOUN
cana-4274	278	2	of	of	ADP
cana-4274	278	3	discernment	discernment	NOUN
cana-4274	278	4	(	(	PUNCT
cana-4274	278	5			NOUN
cana-4274	278	6	):	):	PUNCT
cana-4274	278	7	•	•	NUM
cana-4274	278	8	set	set	NOUN
cana-4274	278	9	of	of	ADP
cana-4274	278	10	all	all	DET
cana-4274	278	11	possible	possible	ADJ
cana-4274	278	12	hypotheses	hypothesis	NOUN
cana-4274	278	13	(	(	PUNCT
cana-4274	278	14	sadness	sadness	NOUN
cana-4274	278	15	,	,	PUNCT
cana-4274	278	16	anger	anger	NOUN
cana-4274	278	17	,	,	PUNCT
cana-4274	278	18	joy	joy	NOUN
cana-4274	278	19	,	,	PUNCT
cana-4274	278	20	disgust	disgust	ADJ
cana-4274	278	21	,	,	PUNCT
cana-4274	278	22	neutral	neutral	ADJ
cana-4274	278	23	,	,	PUNCT
cana-4274	278	24	surprise	surprise	NOUN
cana-4274	278	25	and	and	CCONJ
cana-4274	278	26	fear	fear	NOUN
cana-4274	278	27	)	)	PUNCT
cana-4274	278	28	.	.	PUNCT
cana-4274	279	1	•	•	X
cana-4274	279	2			NUM
cana-4274	279	3	=	=	NOUN
cana-4274	279	4	{	{	PUNCT
cana-4274	279	5	anger	anger	NOUN
cana-4274	279	6	,	,	PUNCT
cana-4274	279	7	surprise	surprise	NOUN
cana-4274	279	8	sadness	sadness	NOUN
cana-4274	279	9	,	,	PUNCT
cana-4274	279	10	joy	joy	NOUN
cana-4274	279	11	,	,	PUNCT
cana-4274	279	12	disgust	disgust	NOUN
cana-4274	279	13	,	,	PUNCT
cana-4274	279	14	neutral	neutral	ADJ
cana-4274	279	15	,	,	PUNCT
cana-4274	279	16	and	and	CCONJ
cana-4274	279	17	fear	fear	NOUN
cana-4274	279	18	}	}	PUNCT
cana-4274	279	19	mass	mass	ADJ
cana-4274	279	20	function	function	NOUN
cana-4274	279	21	(	(	PUNCT
cana-4274	279	22	m	m	NOUN
cana-4274	279	23	):	):	PUNCT
cana-4274	279	24	•	•	ADV
cana-4274	279	25	assign	assign	VERB
cana-4274	279	26	a	a	DET
cana-4274	279	27	mass	mass	NOUN
cana-4274	279	28	r(a	r(a	NOUN
cana-4274	279	29	)	)	PUNCT
cana-4274	279	30	to	to	ADP
cana-4274	279	31	each	each	DET
cana-4274	279	32	subset	subset	NOUN
cana-4274	279	33	a	a	NOUN
cana-4274	279	34	representing	represent	VERB
cana-4274	279	35	the	the	DET
cana-4274	279	36	degree	degree	NOUN
cana-4274	279	37	of	of	ADP
cana-4274	279	38	belief	belief	NOUN
cana-4274	279	39	exactly	exactly	ADV
cana-4274	279	40	committed	committed	ADJ
cana-4274	279	41	to	to	ADP
cana-4274	279	42	a.	a.	NOUN
cana-4274	279	43	•	•	NUM
cana-4274	279	44	]	]	PUNCT
cana-4274	279	45	1,0[2	1,0[2	NUM
cana-4274	279	46	:	:	PUNCT
cana-4274	279	47	→r	→r	VERB
cana-4274	279	48	such	such	ADJ
cana-4274	279	49	that	that	PRON
cana-4274	279	50	0	0	NUM
cana-4274	279	51	)	)	PUNCT
cana-4274	279	52	(	(	PUNCT
cana-4274	279	53	=	=	NOUN
cana-4274	279	54	r	r	X
cana-4274	279	55	and	and	CCONJ
cana-4274	279	56			X
cana-4274	280	1			PROPN
cana-4274	280	2	=	=	PUNCT
cana-4274	280	3	a	a	DET
cana-4274	280	4	ar	ar	NOUN
cana-4274	280	5	1	1	NUM
cana-4274	280	6	)	)	PUNCT
cana-4274	280	7	(	(	PUNCT
cana-4274	280	8	combination	combination	NOUN
cana-4274	280	9	rule	rule	NOUN
cana-4274	280	10	(	(	PUNCT
cana-4274	280	11	dempster	dempster	PROPN
cana-4274	280	12	's	's	PART
cana-4274	280	13	rule	rule	NOUN
cana-4274	280	14	of	of	ADP
cana-4274	280	15	combination	combination	NOUN
cana-4274	280	16	):	):	PUNCT
cana-4274	280	17	for	for	ADP
cana-4274	280	18	two	two	NUM
cana-4274	280	19	independent	independent	ADJ
cana-4274	280	20	sources	source	NOUN
cana-4274	280	21	of	of	ADP
cana-4274	280	22	evidence	evidence	NOUN
cana-4274	280	23	1r	1r	NUM
cana-4274	280	24	and	and	CCONJ
cana-4274	280	25	2r	2r	NUM
cana-4274	280	26	)	)	PUNCT
cana-4274	280	27	(	(	PUNCT
cana-4274	280	28	)	)	PUNCT
cana-4274	280	29	.	.	PUNCT
cana-4274	281	1	(	(	PUNCT
cana-4274	281	2	1	1	NUM
cana-4274	281	3	1	1	NUM
cana-4274	281	4	)	)	PUNCT
cana-4274	281	5	(	(	PUNCT
cana-4274	281	6	21	21	NUM
cana-4274	281	7	crbr	crbr	PROPN
cana-4274	281	8	p	p	PROPN
cana-4274	281	9	ar	ar	NOUN
cana-4274	281	10	acb	acb	X
cana-4274	281	11	=	=	SYM
cana-4274	281	12	−	−	PROPN
cana-4274	281	13	=	=	SYM
cana-4274	281	14	(	(	PUNCT
cana-4274	281	15	15	15	NUM
cana-4274	281	16	)	)	PUNCT
cana-4274	281	17	p	p	NOUN
cana-4274	281	18	is	be	AUX
cana-4274	281	19	the	the	DET
cana-4274	281	20	normalization	normalization	NOUN
cana-4274	281	21	factor	factor	NOUN
cana-4274	281	22	representing	represent	VERB
cana-4274	281	23	the	the	DET
cana-4274	281	24	conflict	conflict	NOUN
cana-4274	281	25	between	between	ADP
cana-4274	281	26	the	the	DET
cana-4274	281	27	two	two	NUM
cana-4274	281	28	sources	source	NOUN
cana-4274	281	29	:	:	PUNCT
cana-4274	281	30	)	)	PUNCT
cana-4274	281	31	(	(	PUNCT
cana-4274	281	32	)	)	PUNCT
cana-4274	281	33	.	.	PUNCT
cana-4274	282	1	(	(	PUNCT
cana-4274	282	2	21	21	NUM
cana-4274	282	3	crbrp	crbrp	NOUN
cana-4274	282	4	cb	cb	NOUN
cana-4274	282	5	=	=	VERB
cana-4274	282	6			VERB
cana-4274	282	7	=	=	NOUN
cana-4274	282	8			NOUN
cana-4274	282	9	(	(	PUNCT
cana-4274	282	10	16	16	NUM
cana-4274	282	11	)	)	PUNCT
cana-4274	282	12	example	example	NOUN
cana-4274	282	13	:	:	PUNCT
cana-4274	282	14	let	let	VERB
cana-4274	282	15	's	us	PRON
cana-4274	282	16	say	say	VERB
cana-4274	282	17	we	we	PRON
cana-4274	282	18	have	have	VERB
cana-4274	282	19	three	three	NUM
cana-4274	282	20	modalities	modality	NOUN
cana-4274	282	21	:	:	PUNCT
cana-4274	282	22	audio	audio	NOUN
cana-4274	282	23	)	)	PUNCT
cana-4274	282	24	,	,	PUNCT
cana-4274	282	25	(	(	PUNCT
cana-4274	282	26	)	)	PUNCT
cana-4274	282	27	,	,	PUNCT
cana-4274	282	28	(	(	PUNCT
cana-4274	282	29	videoaudio	videoaudio	ADJ
cana-4274	282	30	rvideor	rvideor	NOUN
cana-4274	282	31	and	and	CCONJ
cana-4274	282	32	)	)	PUNCT
cana-4274	282	33	(	(	PUNCT
cana-4274	282	34	textr	textr	VERB
cana-4274	282	35	•	•	NOUN
cana-4274	282	36	providing	provide	VERB
cana-4274	282	37	mass	mass	NOUN
cana-4274	282	38	functions	function	NOUN
cana-4274	282	39	for	for	ADP
cana-4274	282	40	the	the	DET
cana-4274	282	41	same	same	ADJ
cana-4274	282	42	frame	frame	NOUN
cana-4274	282	43	of	of	ADP
cana-4274	282	44	discernment	discernment	NOUN
cana-4274	282	45			PROPN
cana-4274	282	46	=	=	NOUN
cana-4274	282	47	{	{	PUNCT
cana-4274	282	48	anger	anger	NOUN
cana-4274	282	49	,	,	PUNCT
cana-4274	282	50	disgust	disgust	NOUN
cana-4274	282	51	,	,	PUNCT
cana-4274	282	52	sadness	sadness	NOUN
cana-4274	282	53	,	,	PUNCT
cana-4274	282	54	joy	joy	NOUN
cana-4274	282	55	,	,	PUNCT
cana-4274	282	56	neutral	neutral	ADJ
cana-4274	282	57	,	,	PUNCT
cana-4274	282	58	surprise	surprise	NOUN
cana-4274	282	59	and	and	CCONJ
cana-4274	282	60	fear	fear	NOUN
cana-4274	282	61	}	}	PUNCT
cana-4274	282	62	combine	combine	VERB
cana-4274	282	63	audio	audio	NOUN
cana-4274	282	64	and	and	CCONJ
cana-4274	282	65	video	video	NOUN
cana-4274	282	66	:	:	PUNCT
cana-4274	282	67	communications	communication	NOUN
cana-4274	282	68	on	on	ADP
cana-4274	282	69	applied	apply	VERB
cana-4274	282	70	nonlinear	nonlinear	ADJ
cana-4274	282	71	analysis	analysis	NOUN
cana-4274	282	72	issn	issn	NOUN
cana-4274	282	73	:	:	PUNCT
cana-4274	282	74	1074	1074	NUM
cana-4274	282	75	-	-	PUNCT
cana-4274	282	76	133x	133x	NUM
cana-4274	282	77	vol	vol	NOUN
cana-4274	282	78	32	32	NUM
cana-4274	283	1	no	no	NOUN
cana-4274	283	2	.	.	PUNCT
cana-4274	284	1	9s	9s	NUM
cana-4274	284	2	(	(	PUNCT
cana-4274	284	3	2025	2025	NUM
cana-4274	284	4	)	)	PUNCT
cana-4274	284	5	1689	1689	NUM
cana-4274	284	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	284	7	)	)	PUNCT
cana-4274	284	8	(	(	PUNCT
cana-4274	284	9	)	)	PUNCT
cana-4274	284	10	.	.	PUNCT
cana-4274	285	1	(	(	PUNCT
cana-4274	285	2	1	1	NUM
cana-4274	285	3	1	1	NUM
cana-4274	285	4	)	)	PUNCT
cana-4274	285	5	(	(	PUNCT
cana-4274	285	6	crbr	crbr	PROPN
cana-4274	285	7	p	p	PROPN
cana-4274	285	8	ar	ar	PROPN
cana-4274	285	9	videoacb	videoacb	NOUN
cana-4274	285	10	audio	audio	NOUN
cana-4274	285	11	av	av	PROPN
cana-4274	285	12	av	av	PROPN
cana-4274	285	13			X
cana-4274	286	1	=	=	PUNCT
cana-4274	286	2	−	−	NOUN
cana-4274	286	3	=	=	SYM
cana-4274	286	4	(	(	PUNCT
cana-4274	286	5	17	17	NUM
cana-4274	286	6	)	)	PUNCT
cana-4274	286	7	where	where	SCONJ
cana-4274	286	8	,	,	PUNCT
cana-4274	286	9	)	)	PUNCT
cana-4274	286	10	(	(	PUNCT
cana-4274	286	11	)	)	PUNCT
cana-4274	286	12	.	.	PUNCT
cana-4274	287	1	(	(	PUNCT
cana-4274	287	2	crbrp	crbrp	NOUN
cana-4274	287	3	videocb	videocb	NOUN
cana-4274	287	4	audioav	audioav	NOUN
cana-4274	287	5			X
cana-4274	288	1	=	=	NOUN
cana-4274	288	2			NOUN
cana-4274	288	3	=	=	NOUN
cana-4274	288	4			NOUN
cana-4274	288	5	(	(	PUNCT
cana-4274	288	6	18	18	NUM
cana-4274	288	7	)	)	PUNCT
cana-4274	288	8	combine	combine	NOUN
cana-4274	288	9	result	result	VERB
cana-4274	288	10	with	with	ADP
cana-4274	288	11	text	text	NOUN
cana-4274	288	12	:	:	PUNCT
cana-4274	288	13	)	)	PUNCT
cana-4274	288	14	(	(	PUNCT
cana-4274	288	15	)	)	PUNCT
cana-4274	288	16	.	.	PUNCT
cana-4274	289	1	(	(	PUNCT
cana-4274	289	2	1	1	NUM
cana-4274	289	3	1	1	NUM
cana-4274	289	4	)	)	PUNCT
cana-4274	289	5	(	(	PUNCT
cana-4274	289	6	crbr	crbr	PROPN
cana-4274	289	7	p	p	PROPN
cana-4274	289	8	ar	ar	PROPN
cana-4274	289	9	textacb	textacb	VERB
cana-4274	289	10	av	av	PROPN
cana-4274	289	11	final	final	ADJ
cana-4274	289	12	final	final	ADJ
cana-4274	289	13			X
cana-4274	289	14	=	=	SYM
cana-4274	289	15	−	−	NOUN
cana-4274	289	16	=	=	SYM
cana-4274	289	17	(	(	PUNCT
cana-4274	289	18	19	19	NUM
cana-4274	289	19	)	)	PUNCT
cana-4274	289	20	)	)	PUNCT
cana-4274	289	21	(	(	PUNCT
cana-4274	289	22	)	)	PUNCT
cana-4274	289	23	.	.	PUNCT
cana-4274	290	1	(	(	PUNCT
cana-4274	290	2	crbrp	crbrp	NOUN
cana-4274	290	3	textcb	textcb	PROPN
cana-4274	290	4	avfinal	avfinal	ADJ
cana-4274	290	5			X
cana-4274	291	1	=	=	NOUN
cana-4274	291	2			NOUN
cana-4274	291	3	=	=	NOUN
cana-4274	291	4			NOUN
cana-4274	291	5	(	(	PUNCT
cana-4274	291	6	20	20	NUM
cana-4274	291	7	)	)	PUNCT
cana-4274	291	8	3.4	3.4	NUM
cana-4274	291	9	.	.	PUNCT
cana-4274	292	1	capsule	capsule	PROPN
cana-4274	292	2	net	net	ADJ
cana-4274	292	3	one	one	NUM
cana-4274	292	4	capsule	capsule	NOUN
cana-4274	292	5	can	can	AUX
cana-4274	292	6	hold	hold	VERB
cana-4274	292	7	several	several	ADJ
cana-4274	292	8	other	other	ADJ
cana-4274	292	9	capsules	capsule	NOUN
cana-4274	292	10	in	in	ADP
cana-4274	292	11	a	a	DET
cana-4274	292	12	network	network	NOUN
cana-4274	292	13	of	of	ADP
cana-4274	292	14	capsules	capsule	NOUN
cana-4274	292	15	.	.	PUNCT
cana-4274	293	1	the	the	DET
cana-4274	293	2	classification	classification	NOUN
cana-4274	293	3	network	network	NOUN
cana-4274	293	4	uses	use	VERB
cana-4274	293	5	the	the	DET
cana-4274	293	6	capsule	capsule	NOUN
cana-4274	293	7	module	module	NOUN
cana-4274	293	8	to	to	PART
cana-4274	293	9	represent	represent	VERB
cana-4274	293	10	the	the	DET
cana-4274	293	11	capsule	capsule	NOUN
cana-4274	293	12	orientation	orientation	NOUN
cana-4274	293	13	and	and	CCONJ
cana-4274	293	14	classification	classification	NOUN
cana-4274	293	15	probability	probability	NOUN
cana-4274	293	16	to	to	PART
cana-4274	293	17	describe	describe	VERB
cana-4274	293	18	the	the	DET
cana-4274	293	19	different	different	ADJ
cana-4274	293	20	orientations	orientation	NOUN
cana-4274	293	21	of	of	ADP
cana-4274	293	22	the	the	DET
cana-4274	293	23	emotions	emotion	NOUN
cana-4274	293	24	.	.	PUNCT
cana-4274	294	1	therefore	therefore	ADV
cana-4274	294	2	,	,	PUNCT
cana-4274	294	3	capsule	capsule	NOUN
cana-4274	294	4	networks	network	NOUN
cana-4274	294	5	are	be	AUX
cana-4274	294	6	more	more	ADV
cana-4274	294	7	enriched	enriched	ADJ
cana-4274	294	8	and	and	CCONJ
cana-4274	294	9	efficient	efficient	ADJ
cana-4274	294	10	than	than	ADP
cana-4274	294	11	traditional	traditional	ADJ
cana-4274	294	12	neural	neural	ADJ
cana-4274	294	13	network	network	NOUN
cana-4274	294	14	models	model	NOUN
cana-4274	294	15	,	,	PUNCT
cana-4274	294	16	including	include	VERB
cana-4274	294	17	cnn	cnn	PROPN
cana-4274	294	18	’s	’s	PART
cana-4274	294	19	.	.	PUNCT
cana-4274	295	1	a	a	DET
cana-4274	295	2	capsule	capsule	NOUN
cana-4274	295	3	network	network	NOUN
cana-4274	295	4	produces	produce	VERB
cana-4274	295	5	emotions	emotion	NOUN
cana-4274	295	6	rather	rather	ADV
cana-4274	295	7	than	than	ADP
cana-4274	295	8	a	a	DET
cana-4274	295	9	scalar	scalar	ADJ
cana-4274	295	10	value	value	NOUN
cana-4274	295	11	like	like	ADP
cana-4274	295	12	a	a	DET
cana-4274	295	13	cnn	cnn	NOUN
cana-4274	295	14	pooling	pool	VERB
cana-4274	295	15	layer	layer	NOUN
cana-4274	295	16	.	.	PUNCT
cana-4274	296	1	the	the	DET
cana-4274	296	2	above	above	ADJ
cana-4274	296	3	fused	fused	ADJ
cana-4274	296	4	data	datum	NOUN
cana-4274	296	5	x	x	PUNCT
cana-4274	296	6	is	be	AUX
cana-4274	296	7	the	the	DET
cana-4274	296	8	input	input	NOUN
cana-4274	296	9	of	of	ADP
cana-4274	296	10	capsule	capsule	ADJ
cana-4274	296	11	net	net	NOUN
cana-4274	296	12	[	[	X
cana-4274	296	13	25	25	NUM
cana-4274	296	14	]	]	PUNCT
cana-4274	296	15	.	.	PUNCT
cana-4274	297	1	this	this	PRON
cana-4274	297	2	is	be	AUX
cana-4274	297	3	accomplished	accomplish	VERB
cana-4274	297	4	by	by	ADP
cana-4274	297	5	passing	pass	VERB
cana-4274	297	6	the	the	DET
cana-4274	297	7	final	final	ADJ
cana-4274	297	8	data	datum	NOUN
cana-4274	297	9	mx	mx	NOUN
cana-4274	297	10	to	to	ADP
cana-4274	297	11	the	the	DET
cana-4274	297	12	fused	fuse	VERB
cana-4274	297	13	data	datum	NOUN
cana-4274	297	14	,	,	PUNCT
cana-4274	297	15	which	which	PRON
cana-4274	297	16	represents	represent	VERB
cana-4274	297	17	the	the	DET
cana-4274	297	18	output	output	NOUN
cana-4274	297	19	of	of	ADP
cana-4274	297	20	a	a	DET
cana-4274	297	21	fused	fuse	VERB
cana-4274	297	22	data	datum	NOUN
cana-4274	297	23	.	.	PUNCT
cana-4274	298	1	i	i	PRON
cana-4274	298	2	cap	cap	VERB
cana-4274	298	3	tij	tij	PROPN
cana-4274	298	4	ewe	ewe	PROPN
cana-4274	299	1	=	=	NOUN
cana-4274	299	2	ˆ	ˆ	NOUN
cana-4274	299	3	(	(	PUNCT
cana-4274	299	4	21	21	NUM
cana-4274	299	5	)	)	PUNCT
cana-4274	299	6	a	a	DET
cana-4274	299	7	non	non	ADJ
cana-4274	299	8	-	-	ADJ
cana-4274	299	9	linear	linear	ADJ
cana-4274	299	10	activation	activation	NOUN
cana-4274	299	11	function	function	NOUN
cana-4274	299	12	is	be	AUX
cana-4274	299	13	used	use	VERB
cana-4274	299	14	to	to	PART
cana-4274	299	15	convert	convert	VERB
cana-4274	299	16	the	the	DET
cana-4274	299	17	final	final	ADJ
cana-4274	299	18	state	state	NOUN
cana-4274	299	19	mx	mx	PROPN
cana-4274	299	20	of	of	ADP
cana-4274	299	21	fused	fuse	VERB
cana-4274	299	22	data	datum	NOUN
cana-4274	299	23	into	into	ADP
cana-4274	299	24	a	a	DET
cana-4274	299	25	feature	feature	NOUN
cana-4274	299	26	capsule	capsule	NOUN
cana-4274	299	27	ie	ie	X
cana-4274	299	28	.	.	PUNCT
cana-4274	300	1	a	a	DET
cana-4274	300	2	few	few	ADJ
cana-4274	300	3	more	more	ADJ
cana-4274	300	4	specifics	specific	NOUN
cana-4274	300	5	are	be	AUX
cana-4274	300	6	in	in	ADP
cana-4274	300	7	the	the	DET
cana-4274	300	8	code	code	NOUN
cana-4274	300	9	,	,	PUNCT
cana-4274	300	10	ie	ie	X
cana-4274	300	11	determines	determine	VERB
cana-4274	300	12	the	the	DET
cana-4274	300	13	correlation	correlation	NOUN
cana-4274	300	14	between	between	ADP
cana-4274	300	15	the	the	DET
cana-4274	300	16	input	input	NOUN
cana-4274	300	17	and	and	CCONJ
cana-4274	300	18	output	output	NOUN
cana-4274	300	19	layers	layer	NOUN
cana-4274	300	20	,	,	PUNCT
cana-4274	300	21	and	and	CCONJ
cana-4274	300	22	ij	ij	NOUN
cana-4274	300	23	ê	ê	PROPN
cana-4274	300	24	is	be	AUX
cana-4274	300	25	used	use	VERB
cana-4274	300	26	to	to	PART
cana-4274	300	27	predict	predict	VERB
cana-4274	300	28	outputs	output	NOUN
cana-4274	300	29	,	,	PUNCT
cana-4274	300	30	where	where	SCONJ
cana-4274	300	31	cap	cap	NOUN
cana-4274	300	32	tw	tw	PROPN
cana-4274	300	33	is	be	AUX
cana-4274	300	34	the	the	DET
cana-4274	300	35	weight	weight	NOUN
cana-4274	300	36	for	for	ADP
cana-4274	300	37	the	the	DET
cana-4274	300	38	input	input	NOUN
cana-4274	300	39	.	.	PUNCT
cana-4274	301	1			X
cana-4274	302	1	=	=	PUNCT
cana-4274	303	1	=	=	SYM
cana-4274	303	2	n	n	PROPN
cana-4274	304	1	i	i	PRON
cana-4274	304	2	ijijj	ijijj	PROPN
cana-4274	304	3	eag	eag	PROPN
cana-4274	304	4	1	1	NUM
cana-4274	304	5	ˆ	ˆ	PROPN
cana-4274	304	6	(	(	PUNCT
cana-4274	304	7	22	22	NUM
cana-4274	304	8	)	)	PUNCT
cana-4274	304	9	the	the	DET
cana-4274	304	10	coupling	coupling	NOUN
cana-4274	304	11	coefficients	coefficient	NOUN
cana-4274	304	12	ija	ija	PROPN
cana-4274	304	13	are	be	AUX
cana-4274	304	14	calculated	calculate	VERB
cana-4274	304	15	using	use	VERB
cana-4274	304	16	the	the	DET
cana-4274	304	17	dynamic	dynamic	ADJ
cana-4274	304	18	routing	routing	NOUN
cana-4274	304	19	process	process	NOUN
cana-4274	304	20	.	.	PUNCT
cana-4274	305	1	this	this	DET
cana-4274	305	2	process	process	NOUN
cana-4274	305	3	ignores	ignore	VERB
cana-4274	305	4	input	input	NOUN
cana-4274	305	5	that	that	PRON
cana-4274	305	6	contains	contain	VERB
cana-4274	305	7	trivial	trivial	ADJ
cana-4274	305	8	and	and	CCONJ
cana-4274	305	9	irrelevant	irrelevant	ADJ
cana-4274	305	10	elements	element	NOUN
cana-4274	305	11	.	.	PUNCT
cana-4274	306	1	audio	audio	NOUN
cana-4274	306	2	,	,	PUNCT
cana-4274	306	3	video	video	NOUN
cana-4274	306	4	,	,	PUNCT
cana-4274	306	5	and	and	CCONJ
cana-4274	306	6	text	text	NOUN
cana-4274	306	7	are	be	AUX
cana-4274	306	8	weighted	weight	VERB
cana-4274	306	9	according	accord	VERB
cana-4274	306	10	to	to	ADP
cana-4274	306	11	the	the	DET
cana-4274	306	12	coupling	coupling	NOUN
cana-4274	306	13	coefficient	coefficient	NOUN
cana-4274	306	14	ija	ija	PROPN
cana-4274	306	15	.the	.the	PROPN
cana-4274	306	16	weight	weight	NOUN
cana-4274	306	17	of	of	ADP
cana-4274	306	18	a	a	DET
cana-4274	306	19	feature	feature	NOUN
cana-4274	306	20	is	be	AUX
cana-4274	306	21	higher	high	ADJ
cana-4274	306	22	when	when	SCONJ
cana-4274	306	23	it	it	PRON
cana-4274	306	24	has	have	VERB
cana-4274	306	25	a	a	DET
cana-4274	306	26	high	high	ADJ
cana-4274	306	27	ija	ija	NOUN
cana-4274	306	28	value	value	NOUN
cana-4274	306	29	and	and	CCONJ
cana-4274	306	30	vice	vice	ADV
cana-4274	306	31	versa	versa	ADV
cana-4274	306	32	.	.	PUNCT
cana-4274	307	1	capsule	capsule	PROPN
cana-4274	307	2	outputs	output	NOUN
cana-4274	307	3	jg	jg	PROPN
cana-4274	307	4	are	be	AUX
cana-4274	307	5	calculated	calculate	VERB
cana-4274	307	6	by	by	ADP
cana-4274	307	7	summation	summation	NOUN
cana-4274	307	8	of	of	ADP
cana-4274	307	9	all	all	DET
cana-4274	307	10	prediction	prediction	NOUN
cana-4274	307	11	feature	feature	NOUN
cana-4274	307	12	maps	map	NOUN
cana-4274	307	13	.	.	PUNCT
cana-4274	308	1			X
cana-4274	309	1	=	=	PUNCT
cana-4274	310	1	=	=	SYM
cana-4274	310	2	n	n	PROPN
cana-4274	311	1	i	i	PRON
cana-4274	311	2	ijijj	ijijj	PROPN
cana-4274	311	3	eag	eag	PROPN
cana-4274	311	4	1	1	NUM
cana-4274	311	5	ˆ	ˆ	PROPN
cana-4274	311	6	(	(	PUNCT
cana-4274	311	7	23	23	NUM
cana-4274	311	8	)	)	PUNCT
cana-4274	311	9	by	by	ADP
cana-4274	311	10	using	use	VERB
cana-4274	311	11	the	the	DET
cana-4274	311	12	below	below	ADJ
cana-4274	311	13	equation	equation	NOUN
cana-4274	311	14	,	,	PUNCT
cana-4274	311	15	the	the	DET
cana-4274	311	16	softmax	softmax	NOUN
cana-4274	311	17	function	function	NOUN
cana-4274	311	18	calculates	calculate	VERB
cana-4274	311	19	the	the	DET
cana-4274	311	20	coupling	coupling	NOUN
cana-4274	311	21	coefficient	coefficient	NOUN
cana-4274	311	22	ija	ija	PROPN
cana-4274	311	23	.	.	PUNCT
cana-4274	312	1	communications	communication	NOUN
cana-4274	312	2	on	on	ADP
cana-4274	312	3	applied	apply	VERB
cana-4274	312	4	nonlinear	nonlinear	ADJ
cana-4274	312	5	analysis	analysis	NOUN
cana-4274	312	6	issn	issn	NOUN
cana-4274	312	7	:	:	PUNCT
cana-4274	312	8	1074	1074	NUM
cana-4274	312	9	-	-	PUNCT
cana-4274	312	10	133x	133x	NUM
cana-4274	312	11	vol	vol	NOUN
cana-4274	312	12	32	32	NUM
cana-4274	312	13	no	no	NOUN
cana-4274	312	14	.	.	PUNCT
cana-4274	313	1	9s	9s	NUM
cana-4274	313	2	(	(	PUNCT
cana-4274	313	3	2025	2025	NUM
cana-4274	313	4	)	)	PUNCT
cana-4274	313	5	1690	1690	NUM
cana-4274	313	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	313	7			X
cana-4274	314	1	=	=	SYM
cana-4274	314	2	e	e	X
cana-4274	314	3	ie	ie	X
cana-4274	314	4	ij	ij	INTJ
cana-4274	315	1	ij	ij	INTJ
cana-4274	316	1	z	z	NOUN
cana-4274	316	2	z	z	NOUN
cana-4274	316	3	a	a	PRON
cana-4274	316	4	)	)	PUNCT
cana-4274	316	5	exp	exp	NOUN
cana-4274	316	6	(	(	PUNCT
cana-4274	316	7	)	)	PUNCT
cana-4274	316	8	exp	exp	NOUN
cana-4274	316	9	(	(	PUNCT
cana-4274	316	10	(	(	PUNCT
cana-4274	316	11	24	24	NUM
cana-4274	316	12	)	)	PUNCT
cana-4274	316	13	the	the	DET
cana-4274	316	14	following	follow	VERB
cana-4274	316	15	equation	equation	NOUN
cana-4274	316	16	updates	update	VERB
cana-4274	316	17	ijz	ijz	VERB
cana-4274	316	18	.this	.this	PRON
cana-4274	316	19	layer	layer	NOUN
cana-4274	316	20	represents	represent	VERB
cana-4274	316	21	the	the	DET
cana-4274	316	22	capsule	capsule	ADJ
cana-4274	316	23	network	network	NOUN
cana-4274	316	24	of	of	ADP
cana-4274	316	25	higher	high	ADJ
cana-4274	316	26	layers	layer	NOUN
cana-4274	316	27	.	.	PUNCT
cana-4274	316	28	)	)	PUNCT
cana-4274	317	1	,	,	PUNCT
cana-4274	317	2	(	(	PUNCT
cana-4274	317	3	ji	ji	PROPN
cana-4274	317	4	t	t	PROPN
cana-4274	317	5	jijij	jijij	PROPN
cana-4274	317	6	efrzz	efrzz	PROPN
cana-4274	317	7	+	+	PROPN
cana-4274	317	8	(	(	PUNCT
cana-4274	317	9	25	25	NUM
cana-4274	317	10	)	)	PUNCT
cana-4274	317	11	with	with	ADP
cana-4274	317	12	this	this	DET
cana-4274	317	13	equation	equation	NOUN
cana-4274	317	14	,	,	PUNCT
cana-4274	317	15	the	the	DET
cana-4274	317	16	final	final	ADJ
cana-4274	317	17	output	output	NOUN
cana-4274	317	18	is	be	AUX
cana-4274	317	19	jr	jr	PROPN
cana-4274	317	20	normalized	normalize	VERB
cana-4274	317	21	using	use	VERB
cana-4274	317	22	a	a	DET
cana-4274	317	23	squash	squash	NOUN
cana-4274	317	24	function	function	NOUN
cana-4274	317	25	(	(	PUNCT
cana-4274	317	26	an	an	DET
cana-4274	317	27	activation	activation	NOUN
cana-4274	317	28	function	function	NOUN
cana-4274	317	29	of	of	ADP
cana-4274	317	30	non	non	ADJ
cana-4274	317	31	-	-	ADJ
cana-4274	317	32	linear	linear	ADJ
cana-4274	317	33	)	)	PUNCT
cana-4274	317	34	that	that	PRON
cana-4274	317	35	accounts	account	VERB
cana-4274	317	36	for	for	ADP
cana-4274	317	37	different	different	ADJ
cana-4274	317	38	orientations	orientation	NOUN
cana-4274	317	39	.	.	PUNCT
cana-4274	318	1	j	j	PROPN
cana-4274	319	1	j	j	PROPN
cana-4274	319	2	j	j	PROPN
cana-4274	319	3	j	j	PROPN
cana-4274	320	1	j	j	PROPN
cana-4274	320	2	g	g	PROPN
cana-4274	320	3	g	g	PROPN
cana-4274	320	4	g	g	PROPN
cana-4274	320	5	g	g	PROPN
cana-4274	320	6	r	r	NOUN
cana-4274	320	7	2	2	NUM
cana-4274	320	8	2	2	NUM
cana-4274	320	9	1	1	NUM
cana-4274	320	10	+	+	NUM
cana-4274	320	11	=	=	SYM
cana-4274	320	12	(	(	PUNCT
cana-4274	320	13	26	26	NUM
cana-4274	320	14	)	)	PUNCT
cana-4274	320	15	consequently	consequently	ADV
cana-4274	320	16	,	,	PUNCT
cana-4274	320	17	the	the	DET
cana-4274	320	18	size	size	NOUN
cana-4274	320	19	of	of	ADP
cana-4274	320	20	internal	internal	ADJ
cana-4274	320	21	product	product	NOUN
cana-4274	320	22	of	of	ADP
cana-4274	320	23	jr	jr	PROPN
cana-4274	320	24	and	and	CCONJ
cana-4274	320	25	ijv	ijv	PROPN
cana-4274	321	1	|	|	ADV
cana-4274	321	2	ˆ	ˆ	ADJ
cana-4274	321	3	determines	determine	NOUN
cana-4274	321	4	(	(	PUNCT
cana-4274	321	5	agrees	agree	NOUN
cana-4274	321	6	)	)	PUNCT
cana-4274	321	7	which	which	DET
cana-4274	321	8	capsule	capsule	NOUN
cana-4274	321	9	in	in	ADP
cana-4274	321	10	the	the	DET
cana-4274	321	11	following	follow	VERB
cana-4274	321	12	layer	layer	NOUN
cana-4274	321	13	will	will	AUX
cana-4274	321	14	probably	probably	ADV
cana-4274	321	15	route	route	VERB
cana-4274	321	16	.	.	PUNCT
cana-4274	322	1	ijjij	ijjij	ADJ
cana-4274	322	2	vry	vry	INTJ
cana-4274	323	1	|	|	ADV
cana-4274	323	2	ˆ.=	ˆ.=	PROPN
cana-4274	323	3	(	(	PUNCT
cana-4274	323	4	27	27	NUM
cana-4274	323	5	)	)	PUNCT
cana-4274	323	6	the	the	DET
cana-4274	323	7	profit	profit	NOUN
cana-4274	323	8	for	for	ADP
cana-4274	323	9	capsule	capsule	NOUN
cana-4274	323	10	networks	network	NOUN
cana-4274	323	11	is	be	AUX
cana-4274	323	12	the	the	DET
cana-4274	323	13	total	total	NOUN
cana-4274	323	14	of	of	ADP
cana-4274	323	15	all	all	DET
cana-4274	323	16	category	category	NOUN
cana-4274	323	17	capsule	capsule	NOUN
cana-4274	323	18	losses	loss	NOUN
cana-4274	323	19	,	,	PUNCT
cana-4274	323	20	each	each	PRON
cana-4274	323	21	of	of	ADP
cana-4274	323	22	which	which	PRON
cana-4274	323	23	is	be	AUX
cana-4274	323	24	computed	compute	VERB
cana-4274	323	25	as	as	ADP
cana-4274	323	26	a	a	DET
cana-4274	323	27	distinct	distinct	ADJ
cana-4274	323	28	margin	margin	NOUN
cana-4274	323	29	loss	loss	NOUN
cana-4274	323	30	kp	kp	NOUN
cana-4274	323	31	,	,	PUNCT
cana-4274	323	32	for	for	ADP
cana-4274	323	33	each	each	DET
cana-4274	323	34	category	category	NOUN
cana-4274	323	35	capsule	capsule	NOUN
cana-4274	323	36	k.	k.	PROPN
cana-4274	323	37	22	22	NUM
cana-4274	323	38	)	)	PUNCT
cana-4274	323	39	,	,	PUNCT
cana-4274	323	40	0max()1(),0max	0max()1(),0max	NUM
cana-4274	323	41	(	(	PUNCT
cana-4274	323	42	−+	−+	PROPN
cana-4274	323	43	−−+−=	−−+−=	PROPN
cana-4274	323	44	mrhrmhp	mrhrmhp	PROPN
cana-4274	323	45	kkkkk	kkkkk	PROPN
cana-4274	323	46			X
cana-4274	323	47	(	(	PUNCT
cana-4274	323	48	28	28	NUM
cana-4274	323	49	)	)	PUNCT
cana-4274	323	50	where	where	SCONJ
cana-4274	323	51	kh	kh	PROPN
cana-4274	323	52	indicates	indicate	VERB
cana-4274	323	53	that	that	SCONJ
cana-4274	323	54	the	the	DET
cana-4274	323	55	instantiation	instantiation	NOUN
cana-4274	323	56	is	be	AUX
cana-4274	323	57	present	present	ADJ
cana-4274	323	58	in	in	ADP
cana-4274	323	59	category	category	NOUN
cana-4274	323	60	capsule	capsule	NOUN
cana-4274	323	61	k	k	PROPN
cana-4274	323	62	;	;	PUNCT
cana-4274	323	63	and	and	CCONJ
cana-4274	323	64	+	+	NOUN
cana-4274	323	65	m	m	NOUN
cana-4274	323	66	,	,	PUNCT
cana-4274	323	67	−m	−m	NOUN
cana-4274	323	68	and	and	CCONJ
cana-4274	323	69			ADJ
cana-4274	323	70	hyperparameters	hyperparameter	NOUN
cana-4274	323	71	that	that	PRON
cana-4274	323	72	regulate	regulate	VERB
cana-4274	323	73	the	the	DET
cana-4274	323	74	existence	existence	NOUN
cana-4274	323	75	-	-	PUNCT
cana-4274	323	76	based	base	VERB
cana-4274	323	77	loss	loss	NOUN
cana-4274	323	78	value	value	NOUN
cana-4274	323	79	.	.	PUNCT
cana-4274	324	1	3.4.1	3.4.1	X
cana-4274	324	2	.	.	X
cana-4274	324	3	hyper	hyper	ADJ
cana-4274	324	4	-	-	ADJ
cana-4274	324	5	parameter	parameter	ADJ
cana-4274	324	6	optimization	optimization	NOUN
cana-4274	324	7	using	use	VERB
cana-4274	324	8	scso	scso	NOUN
cana-4274	324	9	algorithm	algorithm	NOUN
cana-4274	324	10	hyper	hyper	ADJ
cana-4274	324	11	-	-	ADJ
cana-4274	324	12	parameter	parameter	ADJ
cana-4274	324	13	optimization	optimization	NOUN
cana-4274	324	14	using	use	VERB
cana-4274	324	15	the	the	DET
cana-4274	324	16	scso	scso	NOUN
cana-4274	324	17	algorithm	algorithm	NOUN
cana-4274	324	18	involves	involve	VERB
cana-4274	324	19	leveraging	leverage	VERB
cana-4274	324	20	the	the	DET
cana-4274	324	21	collective	collective	ADJ
cana-4274	324	22	behavior	behavior	NOUN
cana-4274	324	23	of	of	ADP
cana-4274	324	24	sand	sand	NOUN
cana-4274	324	25	cats	cat	NOUN
cana-4274	324	26	to	to	PART
cana-4274	324	27	explore	explore	VERB
cana-4274	324	28	and	and	CCONJ
cana-4274	324	29	exploit	exploit	VERB
cana-4274	324	30	the	the	DET
cana-4274	324	31	hyper	hyper	ADJ
cana-4274	324	32	-	-	ADJ
cana-4274	324	33	parameter	parameter	NOUN
cana-4274	324	34	space	space	NOUN
cana-4274	324	35	efficiently	efficiently	ADV
cana-4274	324	36	.	.	PUNCT
cana-4274	325	1	the	the	DET
cana-4274	325	2	scso	scso	NOUN
cana-4274	325	3	algorithm	algorithm	NOUN
cana-4274	325	4	iteratively	iteratively	ADV
cana-4274	325	5	adjusts	adjust	VERB
cana-4274	325	6	the	the	DET
cana-4274	325	7	hyper	hyper	NOUN
cana-4274	325	8	-	-	NOUN
cana-4274	325	9	parameters	parameter	NOUN
cana-4274	325	10	by	by	ADP
cana-4274	325	11	mimicking	mimic	VERB
cana-4274	325	12	the	the	DET
cana-4274	325	13	hunting	hunting	NOUN
cana-4274	325	14	and	and	CCONJ
cana-4274	325	15	foraging	forage	VERB
cana-4274	325	16	patterns	pattern	NOUN
cana-4274	325	17	of	of	ADP
cana-4274	325	18	sand	sand	NOUN
cana-4274	325	19	cats	cat	NOUN
cana-4274	325	20	,	,	PUNCT
cana-4274	325	21	balancing	balance	VERB
cana-4274	325	22	exploration	exploration	NOUN
cana-4274	325	23	and	and	CCONJ
cana-4274	325	24	exploitation	exploitation	NOUN
cana-4274	325	25	.	.	PUNCT
cana-4274	326	1	each	each	DET
cana-4274	326	2	candidate	candidate	NOUN
cana-4274	326	3	solution	solution	NOUN
cana-4274	326	4	(	(	PUNCT
cana-4274	326	5	sand	sand	NOUN
cana-4274	326	6	cat	cat	NOUN
cana-4274	326	7	)	)	PUNCT
cana-4274	326	8	updates	update	VERB
cana-4274	326	9	its	its	PRON
cana-4274	326	10	position	position	NOUN
cana-4274	326	11	based	base	VERB
cana-4274	326	12	on	on	ADP
cana-4274	326	13	the	the	DET
cana-4274	326	14	best	well	ADV
cana-4274	326	15	-	-	PUNCT
cana-4274	326	16	found	find	VERB
cana-4274	326	17	solutions	solution	NOUN
cana-4274	326	18	and	and	CCONJ
cana-4274	326	19	random	random	ADJ
cana-4274	326	20	perturbations	perturbation	NOUN
cana-4274	326	21	to	to	PART
cana-4274	326	22	avoid	avoid	VERB
cana-4274	326	23	local	local	ADJ
cana-4274	326	24	optima	optima	NOUN
cana-4274	326	25	.	.	PUNCT
cana-4274	327	1	the	the	DET
cana-4274	327	2	algorithm	algorithm	NOUN
cana-4274	327	3	continues	continue	VERB
cana-4274	327	4	until	until	SCONJ
cana-4274	327	5	a	a	DET
cana-4274	327	6	stopping	stopping	NOUN
cana-4274	327	7	criterion	criterion	NOUN
cana-4274	327	8	,	,	PUNCT
cana-4274	327	9	such	such	ADJ
cana-4274	327	10	as	as	ADP
cana-4274	327	11	a	a	DET
cana-4274	327	12	maximum	maximum	ADJ
cana-4274	327	13	number	number	NOUN
cana-4274	327	14	of	of	ADP
cana-4274	327	15	iterations	iteration	NOUN
cana-4274	327	16	or	or	CCONJ
cana-4274	327	17	convergence	convergence	NOUN
cana-4274	327	18	threshold	threshold	NOUN
cana-4274	327	19	,	,	PUNCT
cana-4274	327	20	is	be	AUX
cana-4274	327	21	met	meet	VERB
cana-4274	327	22	.	.	PUNCT
cana-4274	328	1	scso	scso	NOUN
cana-4274	328	2	has	have	AUX
cana-4274	328	3	shown	show	VERB
cana-4274	328	4	promise	promise	NOUN
cana-4274	328	5	in	in	ADP
cana-4274	328	6	effectively	effectively	ADV
cana-4274	328	7	tuning	tune	VERB
cana-4274	328	8	hyper	hyper	ADJ
cana-4274	328	9	-	-	NOUN
cana-4274	328	10	parameters	parameter	NOUN
cana-4274	328	11	for	for	ADP
cana-4274	328	12	various	various	ADJ
cana-4274	328	13	machine	machine	NOUN
cana-4274	328	14	learning	learning	NOUN
cana-4274	328	15	models	model	NOUN
cana-4274	328	16	.	.	PUNCT
cana-4274	329	1	table	table	NOUN
cana-4274	329	2	1	1	NUM
cana-4274	329	3	:	:	PUNCT
cana-4274	329	4	range	range	NOUN
cana-4274	329	5	of	of	ADP
cana-4274	329	6	hyper	hyper	PROPN
cana-4274	329	7	parameter	parameter	PROPN
cana-4274	329	8	initialization	initialization	PROPN
cana-4274	329	9	hyper	hyper	NOUN
cana-4274	329	10	-	-	ADJ
cana-4274	329	11	parameters	parameter	NOUN
cana-4274	329	12	range	range	NOUN
cana-4274	329	13	number	number	NOUN
cana-4274	329	14	of	of	ADP
cana-4274	329	15	capsules	capsule	NOUN
cana-4274	329	16	(	(	PUNCT
cana-4274	329	17	noc	noc	PROPN
cana-4274	329	18	)	)	PUNCT
cana-4274	330	1	[	[	X
cana-4274	330	2	8	8	NUM
cana-4274	330	3	,	,	PUNCT
cana-4274	330	4	16	16	NUM
cana-4274	330	5	,	,	PUNCT
cana-4274	330	6	32	32	NUM
cana-4274	330	7	]	]	PUNCT
cana-4274	330	8	dimensions	dimension	NOUN
cana-4274	330	9	of	of	ADP
cana-4274	330	10	capsules	capsule	NOUN
cana-4274	330	11	(	(	PUNCT
cana-4274	330	12	doc	doc	PROPN
cana-4274	330	13	)	)	PUNCT
cana-4274	331	1	[	[	X
cana-4274	331	2	8	8	NUM
cana-4274	331	3	,	,	PUNCT
cana-4274	331	4	16	16	NUM
cana-4274	331	5	,	,	PUNCT
cana-4274	331	6	32	32	NUM
cana-4274	331	7	]	]	PUNCT
cana-4274	331	8	learning	learn	VERB
cana-4274	331	9	rate	rate	NOUN
cana-4274	331	10	(	(	PUNCT
cana-4274	331	11	lr	lr	NOUN
cana-4274	331	12	)	)	PUNCT
cana-4274	331	13	[	[	X
cana-4274	331	14	0.001	0.001	NUM
cana-4274	331	15	,	,	PUNCT
cana-4274	331	16	0.01	0.01	NUM
cana-4274	331	17	,	,	PUNCT
cana-4274	331	18	0.1	0.1	NUM
cana-4274	331	19	]	]	PUNCT
cana-4274	331	20	communications	communication	NOUN
cana-4274	331	21	on	on	ADP
cana-4274	331	22	applied	apply	VERB
cana-4274	331	23	nonlinear	nonlinear	ADJ
cana-4274	331	24	analysis	analysis	NOUN
cana-4274	331	25	issn	issn	NOUN
cana-4274	331	26	:	:	PUNCT
cana-4274	331	27	1074	1074	NUM
cana-4274	331	28	-	-	PUNCT
cana-4274	331	29	133x	133x	NUM
cana-4274	331	30	vol	vol	NOUN
cana-4274	331	31	32	32	NUM
cana-4274	331	32	no	no	NOUN
cana-4274	331	33	.	.	PUNCT
cana-4274	332	1	9s	9s	NUM
cana-4274	332	2	(	(	PUNCT
cana-4274	332	3	2025	2025	NUM
cana-4274	332	4	)	)	PUNCT
cana-4274	332	5	1691	1691	NUM
cana-4274	332	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	332	7	batch	batch	NOUN
cana-4274	332	8	size	size	NOUN
cana-4274	332	9	(	(	PUNCT
cana-4274	332	10	bs	bs	NOUN
cana-4274	332	11	)	)	PUNCT
cana-4274	333	1	[	[	X
cana-4274	333	2	32	32	NUM
cana-4274	333	3	,	,	PUNCT
cana-4274	333	4	64	64	NUM
cana-4274	333	5	,	,	PUNCT
cana-4274	333	6	128	128	NUM
cana-4274	333	7	]	]	PUNCT
cana-4274	333	8	dropout	dropout	NOUN
cana-4274	333	9	rate	rate	NOUN
cana-4274	333	10	(	(	PUNCT
cana-4274	333	11	dr	dr	PROPN
cana-4274	333	12	)	)	PUNCT
cana-4274	334	1	[	[	X
cana-4274	334	2	0.1	0.1	NUM
cana-4274	334	3	,	,	PUNCT
cana-4274	334	4	0.25	0.25	NUM
cana-4274	334	5	,	,	PUNCT
cana-4274	334	6	0.5	0.5	NUM
cana-4274	334	7	]	]	PUNCT
cana-4274	334	8	reconstruction	reconstruction	NOUN
cana-4274	334	9	loss	loss	NOUN
cana-4274	334	10	weight	weight	NOUN
cana-4274	334	11	(	(	PUNCT
cana-4274	334	12	rlw	rlw	NOUN
cana-4274	334	13	)	)	PUNCT
cana-4274	335	1	[	[	X
cana-4274	335	2	0.0005	0.0005	NUM
cana-4274	335	3	,	,	PUNCT
cana-4274	335	4	0.005	0.005	NUM
cana-4274	335	5	,	,	PUNCT
cana-4274	335	6	0.05	0.05	NUM
cana-4274	335	7	]	]	PUNCT
cana-4274	335	8	the	the	DET
cana-4274	335	9	scso	scso	NOUN
cana-4274	335	10	is	be	AUX
cana-4274	335	11	used	use	VERB
cana-4274	335	12	optimize	optimize	NOUN
cana-4274	335	13	these	these	DET
cana-4274	335	14	hyper	hyper	ADJ
cana-4274	335	15	parameters	parameter	NOUN
cana-4274	335	16	.	.	PUNCT
cana-4274	336	1	the	the	DET
cana-4274	336	2	scso	scso	NOUN
cana-4274	336	3	[	[	X
cana-4274	336	4	26	26	NUM
cana-4274	336	5	]	]	PUNCT
cana-4274	336	6	algorithm	algorithm	NOUN
cana-4274	336	7	's	's	PART
cana-4274	336	8	step	step	NOUN
cana-4274	336	9	-	-	PUNCT
cana-4274	336	10	by	by	ADP
cana-4274	336	11	-	-	PUNCT
cana-4274	336	12	step	step	NOUN
cana-4274	336	13	procedure	procedure	NOUN
cana-4274	336	14	is	be	AUX
cana-4274	336	15	explained	explain	VERB
cana-4274	336	16	below	below	ADV
cana-4274	336	17	.	.	PUNCT
cana-4274	337	1	step	step	VERB
cana-4274	337	2	1	1	NUM
cana-4274	337	3	:	:	PUNCT
cana-4274	337	4	initialization	initialization	NOUN
cana-4274	337	5	:	:	PUNCT
cana-4274	337	6	the	the	DET
cana-4274	337	7	primary	primary	ADJ
cana-4274	337	8	goal	goal	NOUN
cana-4274	337	9	of	of	ADP
cana-4274	337	10	this	this	DET
cana-4274	337	11	approach	approach	NOUN
cana-4274	337	12	is	be	AUX
cana-4274	337	13	to	to	PART
cana-4274	337	14	select	select	VERB
cana-4274	337	15	the	the	DET
cana-4274	337	16	optimal	optimal	ADJ
cana-4274	337	17	hyper	hyper	NOUN
cana-4274	337	18	-	-	NOUN
cana-4274	337	19	parameter	parameter	NOUN
cana-4274	337	20	.	.	PUNCT
cana-4274	338	1	first	first	ADV
cana-4274	338	2	,	,	PUNCT
cana-4274	338	3	ascertain	ascertain	VERB
cana-4274	338	4	the	the	DET
cana-4274	338	5	amount	amount	NOUN
cana-4274	338	6	of	of	ADP
cana-4274	338	7	repetitions	repetition	NOUN
cana-4274	338	8	,	,	PUNCT
cana-4274	338	9	the	the	DET
cana-4274	338	10	dimensionality	dimensionality	NOUN
cana-4274	338	11	of	of	ADP
cana-4274	338	12	the	the	DET
cana-4274	338	13	variables	variable	NOUN
cana-4274	338	14	d	d	PROPN
cana-4274	338	15	,	,	PUNCT
cana-4274	338	16	and	and	CCONJ
cana-4274	338	17	the	the	DET
cana-4274	338	18	size	size	NOUN
cana-4274	338	19	of	of	ADP
cana-4274	338	20	the	the	DET
cana-4274	338	21	sand	sand	NOUN
cana-4274	338	22	cat	cat	NOUN
cana-4274	338	23	swarm	swarm	NOUN
cana-4274	338	24	n.	n.	NOUN
cana-4274	338	25	in	in	ADP
cana-4274	338	26	this	this	DET
cana-4274	338	27	case	case	NOUN
cana-4274	338	28	,	,	PUNCT
cana-4274	338	29	the	the	DET
cana-4274	338	30	sand	sand	NOUN
cana-4274	338	31	cat	cat	NOUN
cana-4274	338	32	swarm	swarm	NOUN
cana-4274	338	33	represents	represent	VERB
cana-4274	338	34	the	the	DET
cana-4274	338	35	hyper	hyper	ADJ
cana-4274	338	36	-	-	ADJ
cana-4274	338	37	parameter	parameter	ADJ
cana-4274	338	38	quantity	quantity	NOUN
cana-4274	338	39	.	.	PUNCT
cana-4274	339	1	table	table	NOUN
cana-4274	339	2	1	1	NUM
cana-4274	339	3	lists	list	VERB
cana-4274	339	4	the	the	DET
cana-4274	339	5	hyper	hyper	ADJ
cana-4274	339	6	-	-	ADJ
cana-4274	339	7	parameter	parameter	NOUN
cana-4274	339	8	utilized	utilize	VERB
cana-4274	339	9	in	in	ADP
cana-4274	339	10	the	the	DET
cana-4274	339	11	capsule	capsule	NOUN
cana-4274	339	12	net	net	NOUN
cana-4274	339	13	.	.	PUNCT
cana-4274	340	1	at	at	ADP
cana-4274	340	2	first	first	ADV
cana-4274	340	3	,	,	PUNCT
cana-4274	340	4	the	the	DET
cana-4274	340	5	sand	sand	NOUN
cana-4274	340	6	cat	cat	NOUN
cana-4274	340	7	swarm	swarm	NOUN
cana-4274	340	8	is	be	AUX
cana-4274	340	9	selected	select	VERB
cana-4274	340	10	at	at	ADP
cana-4274	340	11	random	random	ADJ
cana-4274	340	12	.	.	PUNCT
cana-4274	341	1	solutions	solution	NOUN
cana-4274	341	2	are	be	AUX
cana-4274	341	3	first	first	ADV
cana-4274	341	4	filled	fill	VERB
cana-4274	341	5	in	in	ADP
cana-4274	341	6	as	as	ADP
cana-4274	341	7	the	the	DET
cana-4274	341	8	following	following	NOUN
cana-4274	341	9	:	:	PUNCT
cana-4274	341	10			PROPN
cana-4274	341	11	xxxp	xxxp	SYM
cana-4274	341	12	nn	nn	PROPN
cana-4274	341	13	,	,	PUNCT
cana-4274	341	14	.....	.....	PUNCT
cana-4274	341	15	,	,	PUNCT
cana-4274	341	16	,	,	PUNCT
cana-4274	341	17	21=	21=	NUM
cana-4274	341	18	(	(	PUNCT
cana-4274	341	19	29	29	NUM
cana-4274	341	20	)	)	PUNCT
cana-4274	341	21	here	here	ADV
cana-4274	341	22	,	,	PUNCT
cana-4274	341	23	x	x	PUNCT
cana-4274	341	24	n	n	PRON
cana-4274	341	25	is	be	AUX
cana-4274	341	26	the	the	DET
cana-4274	341	27	nth	nth	NOUN
cana-4274	341	28	solution	solution	NOUN
cana-4274	341	29	or	or	CCONJ
cana-4274	341	30	sand	sand	NOUN
cana-4274	341	31	cat	cat	NOUN
cana-4274	341	32	swarm	swarm	NOUN
cana-4274	341	33	’s	’s	PART
cana-4274	341	34	location	location	PROPN
cana-4274	341	35	iix	iix	PROPN
cana-4274	341	36	}	}	PUNCT
cana-4274	341	37	rlwdr	rlwdr	NOUN
cana-4274	341	38	,	,	PUNCT
cana-4274	341	39	bs	bs	NOUN
cana-4274	341	40	,	,	PUNCT
cana-4274	341	41	lr	lr	PROPN
cana-4274	341	42	,	,	PUNCT
cana-4274	341	43	doc	doc	PROPN
cana-4274	341	44	,	,	PUNCT
cana-4274	341	45	noc,{=	noc,{=	NOUN
cana-4274	341	46	(	(	PUNCT
cana-4274	341	47	30	30	NUM
cana-4274	341	48	)	)	PUNCT
cana-4274	341	49	step	step	NOUN
cana-4274	341	50	2	2	NUM
cana-4274	341	51	:	:	PUNCT
cana-4274	341	52	opposite	opposite	ADJ
cana-4274	341	53	solution	solution	NOUN
cana-4274	341	54	generation	generation	NOUN
cana-4274	341	55	:	:	PUNCT
cana-4274	341	56	opposing	oppose	VERB
cana-4274	341	57	solutions	solution	NOUN
cana-4274	341	58	are	be	AUX
cana-4274	341	59	generated	generate	VERB
cana-4274	341	60	once	once	ADV
cana-4274	341	61	the	the	DET
cana-4274	341	62	solution	solution	NOUN
cana-4274	341	63	has	have	AUX
cana-4274	341	64	been	be	AUX
cana-4274	341	65	initialized	initialize	VERB
cana-4274	341	66	.	.	PUNCT
cana-4274	342	1	this	this	DET
cana-4274	342	2	stage	stage	NOUN
cana-4274	342	3	is	be	AUX
cana-4274	342	4	employed	employ	VERB
cana-4274	342	5	to	to	PART
cana-4274	342	6	optimize	optimize	VERB
cana-4274	342	7	the	the	DET
cana-4274	342	8	algorithm	algorithm	NOUN
cana-4274	342	9	's	's	PART
cana-4274	342	10	search	search	NOUN
cana-4274	342	11	capability	capability	NOUN
cana-4274	342	12	.	.	PUNCT
cana-4274	343	1	whereas	whereas	SCONJ
cana-4274	343	2			ADJ
cana-4274	343	3	bax	bax	PROPN
cana-4274	343	4	i	i	PRON
cana-4274	343	5	,	,	PUNCT
cana-4274	343	6			NOUN
cana-4274	343	7	be	be	VERB
cana-4274	343	8	a	a	DET
cana-4274	343	9	genuine	genuine	ADJ
cana-4274	343	10	figure	figure	NOUN
cana-4274	343	11	,	,	PUNCT
cana-4274	343	12	the	the	DET
cana-4274	343	13	opposite	opposite	ADJ
cana-4274	343	14	answer	answer	NOUN
cana-4274	343	15			ADV
cana-4274	343	16	ix	ix	ADV
cana-4274	343	17	can	can	AUX
cana-4274	343	18	be	be	AUX
cana-4274	343	19	calculated	calculate	VERB
cana-4274	343	20	as	as	SCONJ
cana-4274	343	21	follows	follow	VERB
cana-4274	343	22	;	;	PUNCT
cana-4274	343	23	ii	ii	PROPN
cana-4274	343	24	xbax	xbax	PROPN
cana-4274	343	25	−+=	−+=	X
cana-4274	343	26			CCONJ
cana-4274	343	27	(	(	PUNCT
cana-4274	343	28	31	31	NUM
cana-4274	343	29	)	)	PUNCT
cana-4274	343	30	step	step	NOUN
cana-4274	343	31	3	3	NUM
cana-4274	343	32	:	:	PUNCT
cana-4274	343	33	fitness	fitness	NOUN
cana-4274	343	34	calculation	calculation	NOUN
cana-4274	343	35	:	:	PUNCT
cana-4274	343	36	following	follow	VERB
cana-4274	343	37	the	the	DET
cana-4274	343	38	initial	initial	ADJ
cana-4274	343	39	setup	setup	NOUN
cana-4274	343	40	phase	phase	NOUN
cana-4274	343	41	,	,	PUNCT
cana-4274	343	42	each	each	DET
cana-4274	343	43	solution	solution	NOUN
cana-4274	343	44	's	's	PART
cana-4274	343	45	fitness	fitness	NOUN
cana-4274	343	46	is	be	AUX
cana-4274	343	47	assessed	assess	VERB
cana-4274	343	48	by	by	ADP
cana-4274	343	49	the	the	DET
cana-4274	343	50	suggested	suggest	VERB
cana-4274	343	51	scso	scso	NOUN
cana-4274	343	52	approach	approach	NOUN
cana-4274	343	53	.	.	PUNCT
cana-4274	344	1	the	the	DET
cana-4274	344	2	minimal	minimal	ADJ
cana-4274	344	3	fitness	fitness	NOUN
cana-4274	344	4	value	value	NOUN
cana-4274	344	5	is	be	AUX
cana-4274	344	6	considered	consider	VERB
cana-4274	344	7	to	to	PART
cana-4274	344	8	be	be	AUX
cana-4274	344	9	the	the	DET
cana-4274	344	10	optimum	optimum	ADJ
cana-4274	344	11	answer	answer	NOUN
cana-4274	344	12	.	.	PUNCT
cana-4274	345	1	equation	equation	NOUN
cana-4274	345	2	(	(	PUNCT
cana-4274	345	3	14	14	NUM
cana-4274	345	4	)	)	PUNCT
cana-4274	345	5	is	be	AUX
cana-4274	345	6	utilized	utilize	VERB
cana-4274	345	7	in	in	ADP
cana-4274	345	8	the	the	DET
cana-4274	345	9	computation	computation	NOUN
cana-4274	345	10	of	of	ADP
cana-4274	345	11	fitness	fitness	NOUN
cana-4274	345	12	.	.	PUNCT
cana-4274	346	1			PROPN
cana-4274	346	2			NUM
cana-4274	346	3			PRON
cana-4274	346	4			PROPN
cana-4274	347	1			PROPN
cana-4274	347	2			NOUN
cana-4274	348	1	+	+	PROPN
cana-4274	348	2	+	+	ADJ
cana-4274	348	3	+	+	ADJ
cana-4274	348	4	+	+	ADJ
cana-4274	348	5	=	=	NOUN
cana-4274	348	6	fnfptntp	fnfptntp	ADJ
cana-4274	348	7	tntp	tntp	NOUN
cana-4274	348	8	maxfitness	maxfitness	NOUN
cana-4274	348	9	(	(	PUNCT
cana-4274	348	10	32	32	NUM
cana-4274	348	11	)	)	PUNCT
cana-4274	348	12	step	step	NOUN
cana-4274	348	13	4	4	NUM
cana-4274	348	14	:	:	PUNCT
cana-4274	348	15	updating	update	VERB
cana-4274	348	16	with	with	ADP
cana-4274	348	17	scso	scso	NOUN
cana-4274	348	18	:	:	PUNCT
cana-4274	348	19	scso	scso	NOUN
cana-4274	348	20	utilizes	utilize	VERB
cana-4274	348	21	3	3	NUM
cana-4274	348	22	distinct	distinct	ADJ
cana-4274	348	23	techniques	technique	NOUN
cana-4274	348	24	known	know	VERB
cana-4274	348	25	as	as	ADP
cana-4274	348	26	searching	search	VERB
cana-4274	348	27	the	the	DET
cana-4274	348	28	prey	prey	NOUN
cana-4274	348	29	(	(	PUNCT
cana-4274	348	30	exploration	exploration	NOUN
cana-4274	348	31	)	)	PUNCT
cana-4274	348	32	,	,	PUNCT
cana-4274	348	33	attacking	attack	VERB
cana-4274	348	34	on	on	ADP
cana-4274	348	35	the	the	DET
cana-4274	348	36	prey	prey	NOUN
cana-4274	348	37	(	(	PUNCT
cana-4274	348	38	exploitation	exploitation	NOUN
cana-4274	348	39	)	)	PUNCT
cana-4274	348	40	and	and	CCONJ
cana-4274	348	41	exploration	exploration	NOUN
cana-4274	348	42	and	and	CCONJ
cana-4274	348	43	exploitation	exploitation	NOUN
cana-4274	348	44	.	.	PUNCT
cana-4274	349	1	strategy	strategy	NOUN
cana-4274	349	2	1	1	NUM
cana-4274	349	3	:	:	PUNCT
cana-4274	349	4	searching	search	VERB
cana-4274	349	5	the	the	DET
cana-4274	349	6	prey	prey	NOUN
cana-4274	349	7	(	(	PUNCT
cana-4274	349	8	exploration	exploration	NOUN
cana-4274	349	9	)	)	PUNCT
cana-4274	349	10	the	the	DET
cana-4274	349	11	scso	scso	NOUN
cana-4274	349	12	method	method	NOUN
cana-4274	349	13	's	's	PART
cana-4274	349	14	search	search	NOUN
cana-4274	349	15	method	method	NOUN
cana-4274	349	16	is	be	AUX
cana-4274	349	17	explained	explain	VERB
cana-4274	349	18	.	.	PUNCT
cana-4274	350	1	sand	sand	NOUN
cana-4274	350	2	cats	cat	NOUN
cana-4274	350	3	use	use	VERB
cana-4274	350	4	minimal	minimal	ADJ
cana-4274	350	5	noise	noise	NOUN
cana-4274	350	6	production	production	NOUN
cana-4274	350	7	as	as	ADP
cana-4274	350	8	a	a	DET
cana-4274	350	9	prey	prey	NOUN
cana-4274	350	10	seeking	seek	VERB
cana-4274	350	11	method	method	NOUN
cana-4274	350	12	.	.	PUNCT
cana-4274	351	1	for	for	ADP
cana-4274	351	2	every	every	DET
cana-4274	351	3	sand	sand	NOUN
cana-4274	351	4	cat	cat	NOUN
cana-4274	351	5	,	,	PUNCT
cana-4274	351	6	the	the	DET
cana-4274	351	7	answer	answer	NOUN
cana-4274	351	8	is	be	AUX
cana-4274	351	9	expressed	express	VERB
cana-4274	351	10	as	as	ADP
cana-4274	351	11	)	)	PUNCT
cana-4274	351	12	,	,	PUNCT
cana-4274	351	13	....	....	PUNCT
cana-4274	351	14	,	,	PUNCT
cana-4274	351	15	,	,	PUNCT
cana-4274	351	16	,	,	PUNCT
cana-4274	351	17	(	(	PUNCT
cana-4274	351	18	321	321	NUM
cana-4274	351	19	ixiiii	ixiiii	ADJ
cana-4274	351	20	ddddd	ddddd	NOUN
cana-4274	351	21	=	=	PRON
cana-4274	351	22	.	.	PUNCT
cana-4274	352	1	the	the	DET
cana-4274	352	2	capacity	capacity	NOUN
cana-4274	352	3	to	to	PART
cana-4274	352	4	hear	hear	VERB
cana-4274	352	5	helps	help	VERB
cana-4274	352	6	the	the	DET
cana-4274	352	7	scso	scso	NOUN
cana-4274	352	8	algorithm	algorithm	NOUN
cana-4274	352	9	discover	discover	VERB
cana-4274	352	10	sand	sand	NOUN
cana-4274	352	11	cats	cat	NOUN
cana-4274	352	12	at	at	ADP
cana-4274	352	13	frequencies	frequency	NOUN
cana-4274	352	14	that	that	PRON
cana-4274	352	15	are	be	AUX
cana-4274	352	16	low	low	ADJ
cana-4274	352	17	.	.	PUNCT
cana-4274	353	1			NOUN
cana-4274	353	2			NOUN
cana-4274	353	3			PROPN
cana-4274	353	4			NOUN
cana-4274	353	5			PROPN
cana-4274	353	6			NOUN
cana-4274	354	1	+	+	CCONJ
cana-4274	354	2			VERB
cana-4274	354	3	−=	−=	VERB
cana-4274	354	4	maxmax	maxmax	NOUN
cana-4274	354	5	2	2	NUM
cana-4274	354	6	iteriter	iteriter	NOUN
cana-4274	354	7	iterg	iterg	PROPN
cana-4274	354	8	gj	gj	PROPN
cana-4274	354	9	cm	cm	PROPN
cana-4274	354	10	ms	ms	PROPN
cana-4274	354	11			NOUN
cana-4274	354	12	(	(	PUNCT
cana-4274	354	13	33	33	NUM
cana-4274	354	14	)	)	PUNCT
cana-4274	354	15	communications	communication	NOUN
cana-4274	354	16	on	on	ADP
cana-4274	354	17	applied	apply	VERB
cana-4274	354	18	nonlinear	nonlinear	ADJ
cana-4274	354	19	analysis	analysis	NOUN
cana-4274	354	20	issn	issn	NOUN
cana-4274	354	21	:	:	PUNCT
cana-4274	354	22	1074	1074	NUM
cana-4274	354	23	-	-	PUNCT
cana-4274	354	24	133x	133x	NUM
cana-4274	354	25	vol	vol	NOUN
cana-4274	354	26	32	32	NUM
cana-4274	354	27	no	no	NOUN
cana-4274	354	28	.	.	PUNCT
cana-4274	355	1	9s	9s	NUM
cana-4274	355	2	(	(	PUNCT
cana-4274	355	3	2025	2025	NUM
cana-4274	355	4	)	)	PUNCT
cana-4274	355	5	1692	1692	NUM
cana-4274	356	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	356	2	ss	ss	NOUN
cana-4274	356	3	jrandjj	jrandjj	NOUN
cana-4274	356	4	−=	−=	NOUN
cana-4274	356	5	)	)	PUNCT
cana-4274	356	6	1,0(2	1,0(2	NUM
cana-4274	356	7			NOUN
cana-4274	356	8	(	(	PUNCT
cana-4274	356	9	34	34	NUM
cana-4274	356	10	)	)	PUNCT
cana-4274	356	11	therefore	therefore	ADV
cana-4274	356	12	,	,	PUNCT
cana-4274	356	13	the	the	DET
cana-4274	356	14	sj	sj	NOUN
cana-4274	356	15	shows	show	VERB
cana-4274	356	16	the	the	DET
cana-4274	356	17	whole	whole	ADJ
cana-4274	356	18	sensitivity	sensitivity	NOUN
cana-4274	356	19	range	range	NOUN
cana-4274	356	20	,	,	PUNCT
cana-4274	356	21	which	which	PRON
cana-4274	356	22	drops	drop	VERB
cana-4274	356	23	linearly	linearly	ADV
cana-4274	356	24	from	from	ADP
cana-4274	356	25	2	2	NUM
cana-4274	356	26	to	to	ADP
cana-4274	356	27	0	0	NUM
cana-4274	356	28	.	.	PUNCT
cana-4274	357	1	besides	besides	SCONJ
cana-4274	357	2	,	,	PUNCT
cana-4274	357	3	j	j	PROPN
cana-4274	357	4			PROPN
cana-4274	357	5	shows	show	VERB
cana-4274	357	6	the	the	DET
cana-4274	357	7	range	range	NOUN
cana-4274	357	8	of	of	ADP
cana-4274	357	9	sensitivity	sensitivity	NOUN
cana-4274	357	10	for	for	ADP
cana-4274	357	11	each	each	DET
cana-4274	357	12	cat	cat	NOUN
cana-4274	357	13	.	.	PUNCT
cana-4274	358	1	the	the	DET
cana-4274	358	2	j	j	PROPN
cana-4274	358	3			NOUN
cana-4274	358	4	is	be	AUX
cana-4274	358	5	employed	employ	VERB
cana-4274	358	6	for	for	ADP
cana-4274	358	7	tasks	task	NOUN
cana-4274	358	8	throughout	throughout	ADP
cana-4274	358	9	the	the	DET
cana-4274	358	10	periods	period	NOUN
cana-4274	358	11	of	of	ADP
cana-4274	358	12	exploration	exploration	NOUN
cana-4274	358	13	or	or	CCONJ
cana-4274	358	14	exploitation	exploitation	NOUN
cana-4274	358	15	,	,	PUNCT
cana-4274	358	16	sj	sj	NOUN
cana-4274	358	17			NOUN
cana-4274	358	18	,	,	PUNCT
cana-4274	358	19	controls	control	VERB
cana-4274	358	20	the	the	DET
cana-4274	358	21	transitions	transition	NOUN
cana-4274	358	22	in	in	ADP
cana-4274	358	23	these	these	DET
cana-4274	358	24	phases	phase	NOUN
cana-4274	358	25	by	by	ADP
cana-4274	358	26	guiding	guide	VERB
cana-4274	358	27	the	the	DET
cana-4274	358	28	j	j	PROPN
cana-4274	358	29	parameter	parameter	NOUN
cana-4274	358	30	.	.	PUNCT
cana-4274	359	1	in	in	ADP
cana-4274	359	2	addition	addition	NOUN
cana-4274	359	3	,	,	PUNCT
cana-4274	359	4	citer	citer	NOUN
cana-4274	359	5	is	be	AUX
cana-4274	359	6	present	present	ADJ
cana-4274	359	7	iteration	iteration	NOUN
cana-4274	359	8	and	and	CCONJ
cana-4274	359	9	maxiter	maxiter	NOUN
cana-4274	359	10	is	be	AUX
cana-4274	359	11	maximum	maximum	ADJ
cana-4274	359	12	iterations	iteration	NOUN
cana-4274	359	13	.	.	PUNCT
cana-4274	359	14	)	)	PUNCT
cana-4274	360	1	1,0(randjj	1,0(randjj	NUM
cana-4274	360	2	s	s	VERB
cana-4274	360	3	=	=	PROPN
cana-4274	360	4			NOUN
cana-4274	360	5	(	(	PUNCT
cana-4274	360	6	35	35	NUM
cana-4274	360	7	)	)	PUNCT
cana-4274	360	8	according	accord	VERB
cana-4274	360	9	to	to	ADP
cana-4274	360	10	the	the	DET
cana-4274	360	11	position	position	NOUN
cana-4274	360	12	of	of	ADP
cana-4274	360	13	the	the	DET
cana-4274	360	14	top	top	ADJ
cana-4274	360	15	candidate	candidate	NOUN
cana-4274	360	16	,	,	PUNCT
cana-4274	360	17	every	every	DET
cana-4274	360	18	search	search	NOUN
cana-4274	360	19	agent	agent	NOUN
cana-4274	360	20	(	(	PUNCT
cana-4274	360	21	sand	sand	NOUN
cana-4274	360	22	cat	cat	NOUN
cana-4274	360	23	)	)	PUNCT
cana-4274	360	24	updates	update	VERB
cana-4274	360	25	the	the	DET
cana-4274	360	26	position	position	NOUN
cana-4274	360	27	it	it	PRON
cana-4274	360	28	holds	hold	VERB
cana-4274	360	29	bcpos	bcpos	NOUN
cana-4274	360	30	and	and	CCONJ
cana-4274	360	31	its	its	PRON
cana-4274	360	32	present	present	ADJ
cana-4274	360	33	position	position	NOUN
cana-4274	360	34	ccpos	ccpos	NOUN
cana-4274	360	35	and	and	CCONJ
cana-4274	360	36	its	its	PRON
cana-4274	360	37	understanding	understanding	NOUN
cana-4274	360	38	range	range	NOUN
cana-4274	360	39	(	(	PUNCT
cana-4274	360	40	)	)	PUNCT
cana-4274	360	41	y	y	PROPN
cana-4274	360	42			NOUN
cana-4274	360	43	.	.	PUNCT
cana-4274	361	1	this	this	PRON
cana-4274	361	2	causes	cause	VERB
cana-4274	361	3	algorithm	algorithm	NOUN
cana-4274	361	4	must	must	AUX
cana-4274	361	5	have	have	VERB
cana-4274	361	6	a	a	DET
cana-4274	361	7	minimal	minimal	ADJ
cana-4274	361	8	cost	cost	NOUN
cana-4274	361	9	of	of	ADP
cana-4274	361	10	operating	operating	NOUN
cana-4274	361	11	and	and	CCONJ
cana-4274	361	12	a	a	DET
cana-4274	361	13	low	low	ADJ
cana-4274	361	14	complexity	complexity	NOUN
cana-4274	361	15	.	.	PUNCT
cana-4274	362	1	(	(	PUNCT
cana-4274	362	2	)	)	PUNCT
cana-4274	362	3	)	)	PUNCT
cana-4274	362	4	(	(	PUNCT
cana-4274	362	5	)	)	PUNCT
cana-4274	362	6	.1,0()(.)1	.1,0()(.)1	PROPN
cana-4274	362	7	(	(	PUNCT
cana-4274	362	8	hposrandhposyhpos	hposrandhposyhpos	NOUN
cana-4274	362	9	cbc	cbc	PROPN
cana-4274	362	10	−=+	−=+	PROPN
cana-4274	362	11			ADP
cana-4274	362	12	(	(	PUNCT
cana-4274	362	13	36	36	NUM
cana-4274	362	14	)	)	PUNCT
cana-4274	362	15	strategy	strategy	NOUN
cana-4274	362	16	2	2	NUM
cana-4274	362	17	:	:	PUNCT
cana-4274	362	18	attacking	attack	VERB
cana-4274	362	19	on	on	ADP
cana-4274	362	20	the	the	DET
cana-4274	362	21	prey	prey	NOUN
cana-4274	362	22	(	(	PUNCT
cana-4274	362	23	exploitation	exploitation	NOUN
cana-4274	362	24	)	)	PUNCT
cana-4274	362	25	as	as	SCONJ
cana-4274	362	26	previously	previously	ADV
cana-4274	362	27	stated	state	VERB
cana-4274	362	28	,	,	PUNCT
cana-4274	362	29	the	the	DET
cana-4274	362	30	sand	sand	NOUN
cana-4274	362	31	cats	cat	NOUN
cana-4274	362	32	use	use	VERB
cana-4274	362	33	their	their	PRON
cana-4274	362	34	hearing	hearing	NOUN
cana-4274	362	35	to	to	PART
cana-4274	362	36	identify	identify	VERB
cana-4274	362	37	their	their	PRON
cana-4274	362	38	prey	prey	NOUN
cana-4274	362	39	.	.	PUNCT
cana-4274	363	1	in	in	ADP
cana-4274	363	2	order	order	NOUN
cana-4274	363	3	to	to	PART
cana-4274	363	4	computationally	computationally	ADV
cana-4274	363	5	simulate	simulate	VERB
cana-4274	363	6	the	the	DET
cana-4274	363	7	scso	scso	NOUN
cana-4274	363	8	assaulting	assaulting	NOUN
cana-4274	363	9	phase	phase	NOUN
cana-4274	363	10	,	,	PUNCT
cana-4274	363	11	there	there	PRON
cana-4274	363	12	is	be	VERB
cana-4274	363	13	a	a	DET
cana-4274	363	14	gap	gap	NOUN
cana-4274	363	15	between	between	ADP
cana-4274	363	16	the	the	DET
cana-4274	363	17	optimal	optimal	ADJ
cana-4274	363	18	position	position	NOUN
cana-4274	363	19	(	(	PUNCT
cana-4274	363	20	bpos	bpos	NOUN
cana-4274	363	21	)	)	PUNCT
cana-4274	363	22	(	(	PUNCT
cana-4274	363	23	best	good	ADJ
cana-4274	363	24	solution	solution	NOUN
cana-4274	363	25	)	)	PUNCT
cana-4274	363	26	and	and	CCONJ
cana-4274	363	27	the	the	DET
cana-4274	363	28	current	current	ADJ
cana-4274	363	29	position	position	NOUN
cana-4274	363	30	(	(	PUNCT
cana-4274	363	31	vpos	vpos	NOUN
cana-4274	363	32	)	)	PUNCT
cana-4274	363	33	of	of	ADP
cana-4274	363	34	the	the	DET
cana-4274	363	35	sand	sand	NOUN
cana-4274	363	36	cat	cat	NOUN
cana-4274	363	37	.	.	PUNCT
cana-4274	363	38	)	)	PUNCT
cana-4274	364	1	cos(	cos(	X
cana-4274	364	2	..	..	PUNCT
cana-4274	364	3	)()1	)()1	PROPN
cana-4274	364	4	(	(	PUNCT
cana-4274	364	5	,	,	PUNCT
cana-4274	364	6	)	)	PUNCT
cana-4274	364	7	(	(	PUNCT
cana-4274	364	8	)	)	PUNCT
cana-4274	364	9	(	(	PUNCT
cana-4274	364	10	)	)	PUNCT
cana-4274	364	11	.1,0	.1,0	PROPN
cana-4274	365	1	(	(	PUNCT
cana-4274	365	2	rndb	rndb	NOUN
cana-4274	365	3	cbrnd	cbrnd	NOUN
cana-4274	365	4	posjhposhpos	posjhposhpos	VERB
cana-4274	365	5	hposhposrandpos	hposhposrandpos	NOUN
cana-4274	365	6	−=+	−=+	NUM
cana-4274	365	7	−=	−=	NOUN
cana-4274	365	8	(	(	PUNCT
cana-4274	365	9	37	37	NUM
cana-4274	365	10	)	)	PUNCT
cana-4274	365	11	strategy	strategy	NOUN
cana-4274	365	12	3	3	NUM
cana-4274	365	13	:	:	PUNCT
cana-4274	365	14	exploration	exploration	NOUN
cana-4274	365	15	and	and	CCONJ
cana-4274	365	16	exploitation	exploitation	NOUN
cana-4274	365	17	the	the	DET
cana-4274	365	18	adaptable	adaptable	ADJ
cana-4274	365	19	principles	principle	NOUN
cana-4274	365	20	that	that	PRON
cana-4274	365	21	guide	guide	VERB
cana-4274	365	22	exploration	exploration	NOUN
cana-4274	365	23	and	and	CCONJ
cana-4274	365	24	exploitation	exploitation	NOUN
cana-4274	365	25	include	include	VERB
cana-4274	365	26	sj	sj	NOUN
cana-4274	365	27	and	and	CCONJ
cana-4274	365	28	j	j	PROPN
cana-4274	365	29	parameters	parameter	NOUN
cana-4274	365	30	.	.	PUNCT
cana-4274	366	1	scso	scso	NOUN
cana-4274	366	2	can	can	AUX
cana-4274	366	3	smoothly	smoothly	ADV
cana-4274	366	4	transition	transition	VERB
cana-4274	366	5	between	between	ADP
cana-4274	366	6	two	two	NUM
cana-4274	366	7	stages	stage	NOUN
cana-4274	366	8	thanks	thank	NOUN
cana-4274	366	9	to	to	ADP
cana-4274	366	10	these	these	DET
cana-4274	366	11	factors	factor	NOUN
cana-4274	366	12	.	.	PUNCT
cana-4274	367	1	given	give	VERB
cana-4274	367	2	that	that	SCONJ
cana-4274	367	3	the	the	DET
cana-4274	367	4	j	j	PROPN
cana-4274	367	5	parameter	parameter	NOUN
cana-4274	367	6	is	be	AUX
cana-4274	367	7	dependent	dependent	ADJ
cana-4274	367	8	upon	upon	SCONJ
cana-4274	367	9	sj	sj	INTJ
cana-4274	367	10	,	,	PUNCT
cana-4274	367	11	its	its	PRON
cana-4274	367	12	fluctuation	fluctuation	NOUN
cana-4274	367	13	range	range	NOUN
cana-4274	367	14	will	will	AUX
cana-4274	367	15	be	be	AUX
cana-4274	367	16	also	also	ADV
cana-4274	367	17	decreased	decrease	VERB
cana-4274	367	18	.	.	PUNCT
cana-4274	368	1	(	(	PUNCT
cana-4274	368	2	)	)	PUNCT
cana-4274	368	3			NOUN
cana-4274	368	4			NUM
cana-4274	368	5			NUM
cana-4274	368	6			ADV
cana-4274	368	7	−	−	AUX
cana-4274	368	8	−	−	PROPN
cana-4274	368	9	=	=	SYM
cana-4274	368	10	+	+	NUM
cana-4274	368	11	lorationjhposrandhposj	lorationjhposrandhposj	ADJ
cana-4274	368	12	laitationjjposhpos	laitationjjposhpos	NOUN
cana-4274	368	13	hd	hd	NOUN
cana-4274	368	14	cbc	cbc	PROPN
cana-4274	368	15	rndb	rndb	PROPN
cana-4274	368	16	exp;1)().1,0	exp;1)().1,0	NOUN
cana-4274	368	17	(	(	PUNCT
cana-4274	368	18	)	)	PUNCT
cana-4274	368	19	(	(	PUNCT
cana-4274	368	20	.	.	NOUN
cana-4274	368	21	exp;1).cos	exp;1).co	NOUN
cana-4274	368	22	(	(	PUNCT
cana-4274	368	23	.	.	PUNCT
cana-4274	368	24	)	)	PUNCT
cana-4274	369	1	(	(	PUNCT
cana-4274	369	2	)	)	PUNCT
cana-4274	369	3	1	1	NUM
cana-4274	369	4	(	(	PUNCT
cana-4274	369	5			ADP
cana-4274	369	6			ADP
cana-4274	369	7			X
cana-4274	369	8			PROPN
cana-4274	370	1	(	(	PUNCT
cana-4274	370	2	38	38	NUM
cana-4274	370	3	)	)	PUNCT
cana-4274	370	4	step	step	NOUN
cana-4274	370	5	5	5	NUM
cana-4274	370	6	:	:	PUNCT
cana-4274	370	7	termination	termination	NOUN
cana-4274	370	8	condition	condition	NOUN
cana-4274	370	9	:	:	PUNCT
cana-4274	370	10	until	until	SCONJ
cana-4274	370	11	the	the	DET
cana-4274	370	12	optimal	optimal	ADJ
cana-4274	370	13	hyper	hyper	NOUN
cana-4274	370	14	-	-	NOUN
cana-4274	370	15	parameter	parameter	NOUN
cana-4274	370	16	is	be	AUX
cana-4274	370	17	selected	select	VERB
cana-4274	370	18	,	,	PUNCT
cana-4274	370	19	the	the	DET
cana-4274	370	20	process	process	NOUN
cana-4274	370	21	continues	continue	VERB
cana-4274	370	22	.	.	PUNCT
cana-4274	371	1	the	the	DET
cana-4274	371	2	capsule	capsule	PROPN
cana-4274	371	3	net	net	NOUN
cana-4274	371	4	receives	receive	VERB
cana-4274	371	5	the	the	DET
cana-4274	371	6	chosen	choose	VERB
cana-4274	371	7	hyper	hyper	ADJ
cana-4274	371	8	parameter	parameter	PROPN
cana-4274	371	9	value	value	NOUN
cana-4274	371	10	.	.	PUNCT
cana-4274	372	1	algorithm	algorithm	NOUN
cana-4274	372	2	1	1	NUM
cana-4274	372	3	:	:	PUNCT
cana-4274	372	4	sand	sand	NOUN
cana-4274	372	5	cat	cat	NOUN
cana-4274	372	6	swarm	swarm	NOUN
cana-4274	372	7	optimization	optimization	NOUN
cana-4274	372	8	algorithm	algorithm	PROPN
cana-4274	372	9	pseudocode	pseudocode	PROPN
cana-4274	372	10	set	set	VERB
cana-4274	372	11	up	up	ADP
cana-4274	372	12	the	the	DET
cana-4274	372	13	population	population	NOUN
cana-4274	372	14	initially	initially	ADV
cana-4274	372	15	.	.	PUNCT
cana-4274	373	1	determine	determine	VERB
cana-4274	373	2	the	the	DET
cana-4274	373	3	fitness	fitness	NOUN
cana-4274	373	4	function	function	NOUN
cana-4274	373	5	by	by	ADP
cana-4274	373	6	utilizing	utilize	VERB
cana-4274	373	7	the	the	DET
cana-4274	373	8	objective	objective	ADJ
cana-4274	373	9	function	function	NOUN
cana-4274	373	10	as	as	ADP
cana-4274	373	11	a	a	DET
cana-4274	373	12	basis	basis	NOUN
cana-4274	373	13	.	.	PUNCT
cana-4274	374	1	initialize	initialize	VERB
cana-4274	374	2	the	the	DET
cana-4274	374	3	parameters	parameter	NOUN
cana-4274	374	4	j	j	PROPN
cana-4274	374	5	,	,	PUNCT
cana-4274	374	6	sj	sj	PROPN
cana-4274	374	7	and	and	CCONJ
cana-4274	374	8	j.	j.	PROPN
cana-4274	374	9	communications	communication	NOUN
cana-4274	374	10	on	on	ADP
cana-4274	374	11	applied	apply	VERB
cana-4274	374	12	nonlinear	nonlinear	ADJ
cana-4274	374	13	analysis	analysis	NOUN
cana-4274	374	14	issn	issn	NOUN
cana-4274	374	15	:	:	PUNCT
cana-4274	374	16	1074	1074	NUM
cana-4274	374	17	-	-	PUNCT
cana-4274	374	18	133x	133x	NUM
cana-4274	374	19	vol	vol	NOUN
cana-4274	374	20	32	32	NUM
cana-4274	374	21	no	no	NOUN
cana-4274	374	22	.	.	PUNCT
cana-4274	375	1	9s	9s	NUM
cana-4274	375	2	(	(	PUNCT
cana-4274	375	3	2025	2025	NUM
cana-4274	375	4	)	)	PUNCT
cana-4274	375	5	1693	1693	NUM
cana-4274	375	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	375	7	while	while	SCONJ
cana-4274	375	8	h	h	NOUN
cana-4274	375	9	≤	≤	X
cana-4274	375	10	maximum	maximum	ADJ
cana-4274	375	11	iteration	iteration	NOUN
cana-4274	375	12	:	:	PUNCT
cana-4274	375	13	for	for	SCONJ
cana-4274	375	14	every	every	DET
cana-4274	375	15	search	search	NOUN
cana-4274	375	16	engine	engine	NOUN
cana-4274	375	17	determine	determine	VERB
cana-4274	375	18	the	the	DET
cana-4274	375	19	angle	angle	NOUN
cana-4274	375	20	θ	θ	PROPN
cana-4274	375	21	at	at	ADP
cana-4274	375	22	random	random	ADJ
cana-4274	375	23	by	by	ADP
cana-4274	375	24	using	use	VERB
cana-4274	375	25	the	the	DET
cana-4274	375	26	roulette	roulette	NOUN
cana-4274	375	27	wheel	wheel	NOUN
cana-4274	375	28	choice	choice	NOUN
cana-4274	375	29	(	(	PUNCT
cana-4274	375	30	0o≤	0o≤	NUM
cana-4274	375	31	≤360	≤360	NUM
cana-4274	375	32	o	o	NOUN
cana-4274	375	33	)	)	PUNCT
cana-4274	375	34	if	if	SCONJ
cana-4274	375	35	1j	1j	PRON
cana-4274	375	36	adjust	adjust	VERB
cana-4274	375	37	the	the	DET
cana-4274	375	38	search	search	NOUN
cana-4274	375	39	agent	agent	NOUN
cana-4274	375	40	's	's	PART
cana-4274	375	41	location	location	NOUN
cana-4274	375	42	in	in	ADP
cana-4274	375	43	light	light	NOUN
cana-4274	375	44	of	of	ADP
cana-4274	375	45	equation	equation	NOUN
cana-4274	375	46	(	(	PUNCT
cana-4274	375	47	19	19	NUM
cana-4274	375	48	)	)	PUNCT
cana-4274	375	49	else	else	ADV
cana-4274	375	50	adjust	adjust	VERB
cana-4274	375	51	the	the	DET
cana-4274	375	52	search	search	NOUN
cana-4274	375	53	agent	agent	NOUN
cana-4274	375	54	's	's	PART
cana-4274	375	55	location	location	NOUN
cana-4274	375	56	in	in	ADP
cana-4274	375	57	light	light	NOUN
cana-4274	375	58	of	of	ADP
cana-4274	375	59	equation	equation	NOUN
cana-4274	375	60	(	(	PUNCT
cana-4274	375	61	18	18	NUM
cana-4274	375	62	)	)	PUNCT
cana-4274	375	63	end	end	NOUN
cana-4274	375	64	h	h	NOUN
cana-4274	375	65	=	=	NOUN
cana-4274	375	66	h++	h++	NOUN
cana-4274	375	67	end	end	VERB
cana-4274	375	68	4	4	NUM
cana-4274	375	69	.	.	NOUN
cana-4274	375	70	result	result	NOUN
cana-4274	375	71	and	and	CCONJ
cana-4274	375	72	discussion	discussion	NOUN
cana-4274	375	73	in	in	ADP
cana-4274	375	74	the	the	DET
cana-4274	375	75	results	result	NOUN
cana-4274	375	76	,	,	PUNCT
cana-4274	375	77	our	our	PRON
cana-4274	375	78	proposed	propose	VERB
cana-4274	375	79	multimodal	multimodal	NOUN
cana-4274	375	80	emotion	emotion	NOUN
cana-4274	375	81	recognition	recognition	NOUN
cana-4274	375	82	model	model	NOUN
cana-4274	375	83	achieved	achieve	VERB
cana-4274	375	84	a	a	DET
cana-4274	375	85	significant	significant	ADJ
cana-4274	375	86	improvement	improvement	NOUN
cana-4274	375	87	in	in	ADP
cana-4274	375	88	accuracy	accuracy	NOUN
cana-4274	375	89	,	,	PUNCT
cana-4274	375	90	outperforming	outperform	VERB
cana-4274	375	91	baseline	baseline	NOUN
cana-4274	375	92	models	model	NOUN
cana-4274	375	93	across	across	ADP
cana-4274	375	94	all	all	DET
cana-4274	375	95	evaluated	evaluated	ADJ
cana-4274	375	96	datasets	dataset	NOUN
cana-4274	375	97	.	.	PUNCT
cana-4274	376	1	the	the	DET
cana-4274	376	2	integration	integration	NOUN
cana-4274	376	3	of	of	ADP
cana-4274	376	4	mfcc	mfcc	NOUN
cana-4274	376	5	,	,	PUNCT
cana-4274	376	6	squeezenet	squeezenet	NOUN
cana-4274	376	7	,	,	PUNCT
cana-4274	376	8	and	and	CCONJ
cana-4274	376	9	ana	ana	PROPN
cana-4274	376	10	feature	feature	NOUN
cana-4274	376	11	extraction	extraction	NOUN
cana-4274	376	12	methods	method	NOUN
cana-4274	376	13	,	,	PUNCT
cana-4274	376	14	combined	combine	VERB
cana-4274	376	15	with	with	ADP
cana-4274	376	16	the	the	DET
cana-4274	376	17	optimized	optimize	VERB
cana-4274	376	18	capsule	capsule	NOUN
cana-4274	376	19	net	net	ADJ
cana-4274	376	20	classifier	classifier	NOUN
cana-4274	376	21	through	through	ADP
cana-4274	376	22	sand	sand	NOUN
cana-4274	376	23	cat	cat	NOUN
cana-4274	376	24	swarm	swarm	NOUN
cana-4274	376	25	optimization	optimization	NOUN
cana-4274	376	26	,	,	PUNCT
cana-4274	376	27	demonstrated	demonstrate	VERB
cana-4274	376	28	superior	superior	ADJ
cana-4274	376	29	performance	performance	NOUN
cana-4274	376	30	in	in	ADP
cana-4274	376	31	capturing	capture	VERB
cana-4274	376	32	and	and	CCONJ
cana-4274	376	33	classifying	classify	VERB
cana-4274	376	34	emotional	emotional	ADJ
cana-4274	376	35	cues	cue	NOUN
cana-4274	376	36	.	.	PUNCT
cana-4274	377	1	our	our	PRON
cana-4274	377	2	approach	approach	NOUN
cana-4274	377	3	highlights	highlight	VERB
cana-4274	377	4	the	the	DET
cana-4274	377	5	effectiveness	effectiveness	NOUN
cana-4274	377	6	of	of	ADP
cana-4274	377	7	model	model	NOUN
cana-4274	377	8	-	-	PUNCT
cana-4274	377	9	level	level	NOUN
cana-4274	377	10	fusion	fusion	NOUN
cana-4274	377	11	and	and	CCONJ
cana-4274	377	12	advanced	advanced	ADJ
cana-4274	377	13	optimization	optimization	NOUN
cana-4274	377	14	techniques	technique	NOUN
cana-4274	377	15	in	in	ADP
cana-4274	377	16	enhancing	enhance	VERB
cana-4274	377	17	multimodal	multimodal	ADJ
cana-4274	377	18	emotion	emotion	NOUN
cana-4274	377	19	recognition	recognition	NOUN
cana-4274	377	20	capabilities	capability	NOUN
cana-4274	377	21	.	.	PUNCT
cana-4274	378	1	the	the	DET
cana-4274	378	2	examination	examination	NOUN
cana-4274	378	3	is	be	AUX
cana-4274	378	4	conducted	conduct	VERB
cana-4274	378	5	on	on	ADP
cana-4274	378	6	a	a	DET
cana-4274	378	7	device	device	NOUN
cana-4274	378	8	that	that	PRON
cana-4274	378	9	has	have	VERB
cana-4274	378	10	an	an	DET
cana-4274	378	11	intel	intel	PROPN
cana-4274	378	12	(	(	PUNCT
cana-4274	378	13	r	r	NOUN
cana-4274	378	14	)	)	PUNCT
cana-4274	378	15	core	core	NOUN
cana-4274	378	16	(	(	PUNCT
cana-4274	378	17	tm	tm	NOUN
cana-4274	378	18	)	)	PUNCT
cana-4274	378	19	i5	i5	NOUN
cana-4274	378	20	4570s	4570s	PROPN
cana-4274	378	21	cpu	cpu	VERB
cana-4274	378	22	@	@	ADP
cana-4274	378	23	2.90	2.90	NUM
cana-4274	378	24	ghz	ghz	NOUN
cana-4274	378	25	,	,	PUNCT
cana-4274	378	26	*	*	PUNCT
cana-4274	378	27	gb	gb	NOUN
cana-4274	378	28	ram	ram	NOUN
cana-4274	378	29	,	,	PUNCT
cana-4274	378	30	and	and	CCONJ
cana-4274	378	31	the	the	DET
cana-4274	378	32	computer	computer	NOUN
cana-4274	378	33	name	name	NOUN
cana-4274	378	34	ssm107.smg.local	ssm107.smg.local	ADJ
cana-4274	378	35	running	run	VERB
cana-4274	378	36	windows	window	NOUN
cana-4274	378	37	64	64	NUM
cana-4274	378	38	-	-	PUNCT
cana-4274	378	39	bit	bit	NOUN
cana-4274	378	40	.	.	PUNCT
cana-4274	379	1	acer	acer	NOUN
cana-4274	379	2	is	be	AUX
cana-4274	379	3	the	the	DET
cana-4274	379	4	system	system	NOUN
cana-4274	379	5	manufacturer	manufacturer	NOUN
cana-4274	379	6	using	use	VERB
cana-4274	379	7	the	the	DET
cana-4274	379	8	python	python	NOUN
cana-4274	379	9	tool	tool	NOUN
cana-4274	379	10	.	.	PUNCT
cana-4274	380	1	our	our	PRON
cana-4274	380	2	experimental	experimental	ADJ
cana-4274	380	3	configuration	configuration	NOUN
cana-4274	380	4	includes	include	VERB
cana-4274	380	5	two	two	NUM
cana-4274	380	6	data	datum	NOUN
cana-4274	380	7	centers	center	NOUN
cana-4274	380	8	with	with	ADP
cana-4274	380	9	four	four	NUM
cana-4274	380	10	hosts	host	NOUN
cana-4274	380	11	and	and	CCONJ
cana-4274	380	12	a	a	DET
cana-4274	380	13	total	total	ADJ
cana-4274	380	14	ram	ram	NOUN
cana-4274	380	15	of	of	ADP
cana-4274	380	16	8	8	NUM
cana-4274	380	17	gb	gb	NOUN
cana-4274	380	18	.	.	PUNCT
cana-4274	381	1	the	the	DET
cana-4274	381	2	host	host	NOUN
cana-4274	381	3	has	have	VERB
cana-4274	381	4	a	a	DET
cana-4274	381	5	bandwidth	bandwidth	NOUN
cana-4274	381	6	of	of	ADP
cana-4274	381	7	2800	2800	NUM
cana-4274	381	8	mbps	mbps	NOUN
cana-4274	381	9	.	.	PUNCT
cana-4274	382	1	4.1	4.1	NUM
cana-4274	382	2	.	.	PUNCT
cana-4274	382	3	evaluation	evaluation	NOUN
cana-4274	382	4	metrics	metric	NOUN
cana-4274	382	5	it	it	PRON
cana-4274	382	6	has	have	AUX
cana-4274	382	7	chosen	choose	VERB
cana-4274	382	8	many	many	ADJ
cana-4274	382	9	metrics	metric	NOUN
cana-4274	382	10	to	to	PART
cana-4274	382	11	gauge	gauge	VERB
cana-4274	382	12	how	how	SCONJ
cana-4274	382	13	well	well	ADV
cana-4274	382	14	change	change	NOUN
cana-4274	382	15	-	-	PUNCT
cana-4274	382	16	proneness	proneness	NOUN
cana-4274	382	17	prediction	prediction	NOUN
cana-4274	382	18	models	model	NOUN
cana-4274	382	19	are	be	AUX
cana-4274	382	20	doing	do	VERB
cana-4274	382	21	.	.	PUNCT
cana-4274	383	1	they	they	PRON
cana-4274	383	2	have	have	AUX
cana-4274	383	3	selected	select	VERB
cana-4274	383	4	accuracy	accuracy	NOUN
cana-4274	383	5	,	,	PUNCT
cana-4274	383	6	precision	precision	NOUN
cana-4274	383	7	,	,	PUNCT
cana-4274	383	8	recall	recall	NOUN
cana-4274	383	9	,	,	PUNCT
cana-4274	383	10	and	and	CCONJ
cana-4274	383	11	f	f	X
cana-4274	383	12	-	-	PUNCT
cana-4274	383	13	measure	measure	NOUN
cana-4274	383	14	for	for	ADP
cana-4274	383	15	our	our	PRON
cana-4274	383	16	investigation	investigation	NOUN
cana-4274	383	17	.	.	PUNCT
cana-4274	384	1	the	the	DET
cana-4274	384	2	confusion	confusion	NOUN
cana-4274	384	3	matrix	matrix	NOUN
cana-4274	384	4	was	be	AUX
cana-4274	384	5	primarily	primarily	ADV
cana-4274	384	6	used	use	VERB
cana-4274	384	7	to	to	PART
cana-4274	384	8	determine	determine	VERB
cana-4274	384	9	the	the	DET
cana-4274	384	10	true	true	ADJ
cana-4274	384	11	positive	positive	ADJ
cana-4274	384	12	,	,	PUNCT
cana-4274	384	13	true	true	ADJ
cana-4274	384	14	negative	negative	ADJ
cana-4274	384	15	,	,	PUNCT
cana-4274	384	16	false	false	ADJ
cana-4274	384	17	positive	positive	ADJ
cana-4274	384	18	,	,	PUNCT
cana-4274	384	19	and	and	CCONJ
cana-4274	384	20	false	false	ADJ
cana-4274	384	21	negative	negative	ADJ
cana-4274	384	22	for	for	ADP
cana-4274	384	23	the	the	DET
cana-4274	384	24	majority	majority	NOUN
cana-4274	384	25	of	of	ADP
cana-4274	384	26	the	the	DET
cana-4274	384	27	measurements	measurement	NOUN
cana-4274	384	28	.	.	PUNCT
cana-4274	385	1	to	to	PART
cana-4274	385	2	evaluate	evaluate	VERB
cana-4274	385	3	these	these	DET
cana-4274	385	4	findings	finding	NOUN
cana-4274	385	5	,	,	PUNCT
cana-4274	385	6	compute	compute	VERB
cana-4274	385	7	the	the	DET
cana-4274	385	8	precision	precision	NOUN
cana-4274	385	9	,	,	PUNCT
cana-4274	385	10	recall	recall	NOUN
cana-4274	385	11	,	,	PUNCT
cana-4274	385	12	accuracy	accuracy	NOUN
cana-4274	385	13	,	,	PUNCT
cana-4274	385	14	and	and	CCONJ
cana-4274	385	15	f1	f1	NOUN
cana-4274	385	16	-	-	PUNCT
cana-4274	385	17	score	score	NOUN
cana-4274	385	18	,	,	PUNCT
cana-4274	385	19	fpr	fpr	NOUN
cana-4274	385	20	,	,	PUNCT
cana-4274	385	21	fnr	fnr	PROPN
cana-4274	385	22	,	,	PUNCT
cana-4274	385	23	mcc	mcc	NOUN
cana-4274	385	24	and	and	CCONJ
cana-4274	385	25	npv	npv	NOUN
cana-4274	385	26	indicators	indicator	NOUN
cana-4274	385	27	.	.	PUNCT
cana-4274	386	1	fnfptntp	fnfptntp	ADJ
cana-4274	386	2	tntp	tntp	NOUN
cana-4274	386	3	accuracy	accuracy	NOUN
cana-4274	386	4	+	+	PROPN
cana-4274	386	5	+	+	ADJ
cana-4274	386	6	+	+	ADJ
cana-4274	386	7	+	+	ADJ
cana-4274	386	8	=	=	SYM
cana-4274	386	9	(	(	PUNCT
cana-4274	386	10	39	39	NUM
cana-4274	386	11	)	)	PUNCT
cana-4274	386	12	fntp	fntp	NOUN
cana-4274	386	13	tp	tp	PART
cana-4274	386	14	recall	recall	VERB
cana-4274	386	15	+	+	CCONJ
cana-4274	387	1	=	=	SYM
cana-4274	387	2	(	(	PUNCT
cana-4274	387	3	40	40	NUM
cana-4274	387	4	)	)	PUNCT
cana-4274	387	5	fptp	fptp	PROPN
cana-4274	387	6	tp	tp	PART
cana-4274	387	7	precision	precision	VERB
cana-4274	387	8	+	+	CCONJ
cana-4274	388	1	=	=	SYM
cana-4274	388	2	(	(	PUNCT
cana-4274	388	3	41	41	NUM
cana-4274	388	4	)	)	PUNCT
cana-4274	388	5	communications	communication	NOUN
cana-4274	388	6	on	on	ADP
cana-4274	388	7	applied	apply	VERB
cana-4274	388	8	nonlinear	nonlinear	ADJ
cana-4274	388	9	analysis	analysis	NOUN
cana-4274	388	10	issn	issn	NOUN
cana-4274	388	11	:	:	PUNCT
cana-4274	388	12	1074	1074	NUM
cana-4274	388	13	-	-	PUNCT
cana-4274	388	14	133x	133x	NUM
cana-4274	388	15	vol	vol	NOUN
cana-4274	388	16	32	32	NUM
cana-4274	388	17	no	no	NOUN
cana-4274	388	18	.	.	PUNCT
cana-4274	389	1	9s	9s	NUM
cana-4274	389	2	(	(	PUNCT
cana-4274	389	3	2025	2025	NUM
cana-4274	389	4	)	)	PUNCT
cana-4274	389	5	1694	1694	NUM
cana-4274	389	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	389	7	fnfptp	fnfptp	PROPN
cana-4274	389	8	tp	tp	PART
cana-4274	389	9	scoref	scoref	NOUN
cana-4274	389	10	+	+	PROPN
cana-4274	389	11	+	+	X
cana-4274	389	12	=	=	ADJ
cana-4274	389	13	−	−	NOUN
cana-4274	389	14	2	2	NUM
cana-4274	389	15	2	2	NUM
cana-4274	389	16	1	1	NUM
cana-4274	389	17	(	(	PUNCT
cana-4274	389	18	42	42	NUM
cana-4274	389	19	)	)	PUNCT
cana-4274	389	20	𝐹𝑃𝑅	𝐹𝑃𝑅	PROPN
cana-4274	389	21	=	=	SYM
cana-4274	389	22	𝐹𝑃	𝐹𝑃	PROPN
cana-4274	389	23	𝑇𝑁+𝐹𝑃	𝑇𝑁+𝐹𝑃	NOUN
cana-4274	389	24	(	(	PUNCT
cana-4274	389	25	43	43	NUM
cana-4274	389	26	)	)	PUNCT
cana-4274	389	27	𝐹𝑁𝑅	𝐹𝑁𝑅	NOUN
cana-4274	389	28	=	=	SYM
cana-4274	390	1	𝐹𝑁	𝐹𝑁	PROPN
cana-4274	390	2	𝑇𝑃+𝐹𝑁	𝑇𝑃+𝐹𝑁	NOUN
cana-4274	390	3	(	(	PUNCT
cana-4274	390	4	44	44	NUM
cana-4274	390	5	)	)	PUNCT
cana-4274	390	6	𝑀𝐶𝐶	𝑀𝐶𝐶	PROPN
cana-4274	390	7	=	=	NOUN
cana-4274	390	8	𝑇𝑃𝑇𝑁−𝐹𝑃𝐹𝑁	𝑇𝑃𝑇𝑁−𝐹𝑃𝐹𝑁	NUM
cana-4274	390	9	√(𝑇𝑃+𝐹𝑃)−(𝑇𝑃+𝐹𝑁)(𝑇𝑁+𝐹𝑃)(𝑇𝑁+𝐹𝑁	√(𝑇𝑃+𝐹𝑃)−(𝑇𝑃+𝐹𝑁)(𝑇𝑁+𝐹𝑃)(𝑇𝑁+𝐹𝑁	NOUN
cana-4274	390	10	)	)	PUNCT
cana-4274	390	11	(	(	PUNCT
cana-4274	390	12	45	45	NUM
cana-4274	390	13	)	)	PUNCT
cana-4274	390	14	𝑁𝑃𝑉	𝑁𝑃𝑉	PROPN
cana-4274	390	15	=	=	SYM
cana-4274	390	16	𝑇𝑁	𝑇𝑁	PROPN
cana-4274	390	17	𝑇𝑁+𝐹𝑁	𝑇𝑁+𝐹𝑁	NOUN
cana-4274	390	18	(	(	PUNCT
cana-4274	390	19	46	46	NUM
cana-4274	390	20	)	)	PUNCT
cana-4274	390	21	tp	tp	NOUN
cana-4274	390	22	signifies	signify	VERB
cana-4274	390	23	the	the	DET
cana-4274	390	24	true	true	ADJ
cana-4274	390	25	positive	positive	ADJ
cana-4274	390	26	,	,	PUNCT
cana-4274	390	27	fp	fp	INTJ
cana-4274	390	28	the	the	DET
cana-4274	390	29	false	false	ADJ
cana-4274	390	30	positive	positive	NOUN
cana-4274	390	31	,	,	PUNCT
cana-4274	390	32	tn	tn	VERB
cana-4274	390	33	the	the	DET
cana-4274	390	34	true	true	ADJ
cana-4274	390	35	negative	negative	ADJ
cana-4274	390	36	,	,	PUNCT
cana-4274	390	37	and	and	CCONJ
cana-4274	390	38	fn	fn	VERB
cana-4274	390	39	the	the	DET
cana-4274	390	40	false	false	ADJ
cana-4274	390	41	negative	negative	NOUN
cana-4274	390	42	.	.	PUNCT
cana-4274	391	1	4.2	4.2	NUM
cana-4274	391	2	.	.	PUNCT
cana-4274	392	1	dataset	dataset	VERB
cana-4274	392	2	description	description	NOUN
cana-4274	392	3	multimodal	multimodal	NOUN
cana-4274	392	4	emotion	emotion	NOUN
cana-4274	392	5	lines	line	NOUN
cana-4274	392	6	dataset	dataset	VERB
cana-4274	392	7	(	(	PUNCT
cana-4274	392	8	meld	meld	PROPN
cana-4274	392	9	)	)	PUNCT
cana-4274	392	10	was	be	AUX
cana-4274	392	11	produced	produce	VERB
cana-4274	392	12	by	by	ADP
cana-4274	392	13	expanding	expand	VERB
cana-4274	392	14	and	and	CCONJ
cana-4274	392	15	improving	improve	VERB
cana-4274	392	16	the	the	DET
cana-4274	392	17	emotionlines	emotionline	NOUN
cana-4274	392	18	dataset	dataset	VERB
cana-4274	392	19	.	.	PUNCT
cana-4274	393	1	the	the	DET
cana-4274	393	2	conversation	conversation	NOUN
cana-4274	393	3	instances	instance	NOUN
cana-4274	393	4	in	in	ADP
cana-4274	393	5	meld	meld	NOUN
cana-4274	393	6	are	be	AUX
cana-4274	393	7	identical	identical	ADJ
cana-4274	393	8	to	to	ADP
cana-4274	393	9	those	those	PRON
cana-4274	393	10	in	in	ADP
cana-4274	393	11	emotionlines	emotionline	NOUN
cana-4274	393	12	,	,	PUNCT
cana-4274	393	13	but	but	CCONJ
cana-4274	393	14	in	in	ADP
cana-4274	393	15	addition	addition	NOUN
cana-4274	393	16	to	to	ADP
cana-4274	393	17	text	text	NOUN
cana-4274	393	18	,	,	PUNCT
cana-4274	393	19	it	it	PRON
cana-4274	393	20	also	also	ADV
cana-4274	393	21	includes	include	VERB
cana-4274	393	22	audio	audio	ADJ
cana-4274	393	23	and	and	CCONJ
cana-4274	393	24	visual	visual	ADJ
cana-4274	393	25	elements	element	NOUN
cana-4274	393	26	.	.	PUNCT
cana-4274	394	1	meld	meld	PROPN
cana-4274	394	2	contains	contain	VERB
cana-4274	394	3	around	around	ADP
cana-4274	394	4	1400	1400	NUM
cana-4274	394	5	exchanges	exchange	NOUN
cana-4274	394	6	and	and	CCONJ
cana-4274	394	7	13,000	13,000	NUM
cana-4274	394	8	words	word	NOUN
cana-4274	394	9	from	from	ADP
cana-4274	394	10	the	the	DET
cana-4274	394	11	friends	friend	NOUN
cana-4274	394	12	series	series	PROPN
cana-4274	394	13	on	on	ADP
cana-4274	394	14	television	television	NOUN
cana-4274	394	15	.	.	PUNCT
cana-4274	395	1	several	several	ADJ
cana-4274	395	2	speakers	speaker	NOUN
cana-4274	395	3	took	take	VERB
cana-4274	395	4	part	part	NOUN
cana-4274	395	5	in	in	ADP
cana-4274	395	6	the	the	DET
cana-4274	395	7	conversations	conversation	NOUN
cana-4274	395	8	.	.	PUNCT
cana-4274	396	1	any	any	DET
cana-4274	396	2	one	one	NOUN
cana-4274	396	3	among	among	ADP
cana-4274	396	4	the	the	DET
cana-4274	396	5	following	follow	VERB
cana-4274	396	6	seven	seven	NUM
cana-4274	396	7	emotions	emotion	NOUN
cana-4274	396	8	—	—	PUNCT
cana-4274	396	9	anger	anger	NOUN
cana-4274	396	10	,	,	PUNCT
cana-4274	396	11	disgust	disgust	NOUN
cana-4274	396	12	,	,	PUNCT
cana-4274	396	13	sadness	sadness	NOUN
cana-4274	396	14	,	,	PUNCT
cana-4274	396	15	joy	joy	NOUN
cana-4274	396	16	,	,	PUNCT
cana-4274	396	17	neutral	neutral	ADJ
cana-4274	396	18	,	,	PUNCT
cana-4274	396	19	surprise	surprise	NOUN
cana-4274	396	20	,	,	PUNCT
cana-4274	396	21	and	and	CCONJ
cana-4274	396	22	fear	fear	NOUN
cana-4274	396	23	—	—	PUNCT
cana-4274	396	24	has	have	AUX
cana-4274	396	25	been	be	AUX
cana-4274	396	26	assigned	assign	VERB
cana-4274	396	27	to	to	ADP
cana-4274	396	28	each	each	DET
cana-4274	396	29	statement	statement	NOUN
cana-4274	396	30	made	make	VERB
cana-4274	396	31	in	in	ADP
cana-4274	396	32	a	a	DET
cana-4274	396	33	discussion	discussion	NOUN
cana-4274	396	34	.	.	PUNCT
cana-4274	397	1	each	each	DET
cana-4274	397	2	speech	speech	NOUN
cana-4274	397	3	in	in	ADP
cana-4274	397	4	meld	meld	NOUN
cana-4274	397	5	additionally	additionally	ADV
cana-4274	397	6	includes	include	VERB
cana-4274	397	7	a	a	DET
cana-4274	397	8	sentiment	sentiment	NOUN
cana-4274	397	9	descriptor	descriptor	NOUN
cana-4274	397	10	(	(	PUNCT
cana-4274	397	11	good	good	ADJ
cana-4274	397	12	,	,	PUNCT
cana-4274	397	13	negative	negative	ADJ
cana-4274	397	14	,	,	PUNCT
cana-4274	397	15	or	or	CCONJ
cana-4274	397	16	neutral	neutral	ADJ
cana-4274	397	17	)	)	PUNCT
cana-4274	398	1	[	[	X
cana-4274	398	2	27	27	NUM
cana-4274	398	3	]	]	PUNCT
cana-4274	398	4	.	.	PUNCT
cana-4274	399	1	4.3	4.3	NUM
cana-4274	399	2	experimental	experimental	ADJ
cana-4274	399	3	results	result	NOUN
cana-4274	399	4	the	the	DET
cana-4274	399	5	experimental	experimental	ADJ
cana-4274	399	6	results	result	NOUN
cana-4274	399	7	,	,	PUNCT
cana-4274	399	8	including	include	VERB
cana-4274	399	9	accuracy	accuracy	NOUN
cana-4274	399	10	,	,	PUNCT
cana-4274	399	11	precision	precision	NOUN
cana-4274	399	12	,	,	PUNCT
cana-4274	399	13	recall	recall	NOUN
cana-4274	399	14	,	,	PUNCT
cana-4274	399	15	f	f	X
cana-4274	399	16	-	-	PUNCT
cana-4274	399	17	measure	measure	NOUN
cana-4274	399	18	,	,	PUNCT
cana-4274	399	19	and	and	CCONJ
cana-4274	399	20	accuracy	accuracy	NOUN
cana-4274	399	21	vs.	vs.	ADP
cana-4274	399	22	loss	loss	NOUN
cana-4274	399	23	value	value	NOUN
cana-4274	399	24	,	,	PUNCT
cana-4274	399	25	show	show	VERB
cana-4274	399	26	presentation	presentation	NOUN
cana-4274	399	27	of	of	ADP
cana-4274	399	28	the	the	DET
cana-4274	399	29	suggested	suggest	VERB
cana-4274	399	30	method	method	NOUN
cana-4274	399	31	compared	compare	VERB
cana-4274	399	32	to	to	ADP
cana-4274	399	33	dbn	dbn	PROPN
cana-4274	399	34	,	,	PUNCT
cana-4274	399	35	rnn	rnn	PROPN
cana-4274	399	36	,	,	PUNCT
cana-4274	399	37	cnn	cnn	PROPN
cana-4274	399	38	,	,	PUNCT
cana-4274	399	39	and	and	CCONJ
cana-4274	399	40	svm	svm	PROPN
cana-4274	399	41	.	.	PUNCT
cana-4274	400	1	the	the	DET
cana-4274	400	2	suggested	suggest	VERB
cana-4274	400	3	method	method	NOUN
cana-4274	400	4	demonstrates	demonstrate	VERB
cana-4274	400	5	superior	superior	ADJ
cana-4274	400	6	metrics	metric	NOUN
cana-4274	400	7	across	across	ADP
cana-4274	400	8	these	these	DET
cana-4274	400	9	evaluations	evaluation	NOUN
cana-4274	400	10	.	.	PUNCT
cana-4274	401	1	notably	notably	ADV
cana-4274	401	2	,	,	PUNCT
cana-4274	401	3	it	it	PRON
cana-4274	401	4	achieves	achieve	VERB
cana-4274	401	5	higher	high	ADJ
cana-4274	401	6	accuracy	accuracy	NOUN
cana-4274	401	7	and	and	CCONJ
cana-4274	401	8	f	f	NOUN
cana-4274	401	9	-	-	PUNCT
cana-4274	401	10	measure	measure	NOUN
cana-4274	401	11	,	,	PUNCT
cana-4274	401	12	indicating	indicate	VERB
cana-4274	401	13	better	well	ADJ
cana-4274	401	14	overall	overall	ADJ
cana-4274	401	15	performance	performance	NOUN
cana-4274	401	16	.	.	PUNCT
cana-4274	402	1	the	the	DET
cana-4274	402	2	comparison	comparison	NOUN
cana-4274	402	3	highlights	highlight	VERB
cana-4274	402	4	the	the	DET
cana-4274	402	5	effectiveness	effectiveness	NOUN
cana-4274	402	6	of	of	ADP
cana-4274	402	7	the	the	DET
cana-4274	402	8	suggested	suggest	VERB
cana-4274	402	9	approach	approach	NOUN
cana-4274	402	10	in	in	ADP
cana-4274	402	11	emotion	emotion	NOUN
cana-4274	402	12	detection	detection	NOUN
cana-4274	402	13	.	.	PUNCT
cana-4274	403	1	figure	figure	VERB
cana-4274	403	2	4	4	NUM
cana-4274	403	3	:	:	PUNCT
cana-4274	403	4	confusion	confusion	NOUN
cana-4274	403	5	matrix	matrix	NOUN
cana-4274	403	6	communications	communication	NOUN
cana-4274	403	7	on	on	ADP
cana-4274	403	8	applied	apply	VERB
cana-4274	403	9	nonlinear	nonlinear	ADJ
cana-4274	403	10	analysis	analysis	NOUN
cana-4274	403	11	issn	issn	NOUN
cana-4274	403	12	:	:	PUNCT
cana-4274	403	13	1074	1074	NUM
cana-4274	403	14	-	-	PUNCT
cana-4274	403	15	133x	133x	NUM
cana-4274	403	16	vol	vol	NOUN
cana-4274	403	17	32	32	NUM
cana-4274	404	1	no	no	NOUN
cana-4274	404	2	.	.	PUNCT
cana-4274	405	1	9s	9s	NUM
cana-4274	405	2	(	(	PUNCT
cana-4274	405	3	2025	2025	NUM
cana-4274	405	4	)	)	PUNCT
cana-4274	405	5	1695	1695	NUM
cana-4274	405	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	406	1	the	the	DET
cana-4274	406	2	figure	figure	NOUN
cana-4274	406	3	4	4	NUM
cana-4274	406	4	shows	show	VERB
cana-4274	406	5	confusion	confusion	NOUN
cana-4274	406	6	matrix	matrix	NOUN
cana-4274	406	7	for	for	ADP
cana-4274	406	8	the	the	DET
cana-4274	406	9	proposed	propose	VERB
cana-4274	406	10	capsule	capsule	NOUN
cana-4274	406	11	net	net	ADJ
cana-4274	406	12	-	-	PUNCT
cana-4274	406	13	scso	scso	NOUN
cana-4274	406	14	model	model	NOUN
cana-4274	406	15	on	on	ADP
cana-4274	406	16	the	the	DET
cana-4274	406	17	test	test	NOUN
cana-4274	406	18	data	datum	NOUN
cana-4274	406	19	shows	show	VERB
cana-4274	406	20	high	high	ADJ
cana-4274	406	21	accuracy	accuracy	NOUN
cana-4274	406	22	across	across	ADP
cana-4274	406	23	all	all	DET
cana-4274	406	24	categories	category	NOUN
cana-4274	406	25	.	.	PUNCT
cana-4274	407	1	the	the	DET
cana-4274	407	2	model	model	NOUN
cana-4274	407	3	achieves	achieve	VERB
cana-4274	407	4	98.12	98.12	NUM
cana-4274	407	5	%	%	NOUN
cana-4274	407	6	accuracy	accuracy	NOUN
cana-4274	407	7	for	for	ADP
cana-4274	407	8	positive	positive	ADJ
cana-4274	407	9	labels	label	NOUN
cana-4274	407	10	,	,	PUNCT
cana-4274	407	11	98.24	98.24	NUM
cana-4274	407	12	%	%	NOUN
cana-4274	407	13	for	for	ADP
cana-4274	407	14	neutral	neutral	ADJ
cana-4274	407	15	labels	label	NOUN
cana-4274	407	16	,	,	PUNCT
cana-4274	407	17	and	and	CCONJ
cana-4274	407	18	98.14	98.14	NUM
cana-4274	407	19	%	%	NOUN
cana-4274	407	20	for	for	ADP
cana-4274	407	21	negative	negative	ADJ
cana-4274	407	22	labels	label	NOUN
cana-4274	407	23	,	,	PUNCT
cana-4274	407	24	indicating	indicate	VERB
cana-4274	407	25	robust	robust	ADJ
cana-4274	407	26	performance	performance	NOUN
cana-4274	407	27	.	.	PUNCT
cana-4274	408	1	misclassification	misclassification	NOUN
cana-4274	408	2	rates	rate	NOUN
cana-4274	408	3	are	be	AUX
cana-4274	408	4	minimal	minimal	ADJ
cana-4274	408	5	,	,	PUNCT
cana-4274	408	6	with	with	ADP
cana-4274	408	7	the	the	DET
cana-4274	408	8	highest	high	ADJ
cana-4274	408	9	being	be	AUX
cana-4274	408	10	1.38	1.38	NUM
cana-4274	408	11	%	%	NOUN
cana-4274	408	12	for	for	ADP
cana-4274	408	13	neutral	neutral	ADJ
cana-4274	408	14	labels	label	NOUN
cana-4274	408	15	predicted	predict	VERB
cana-4274	408	16	as	as	ADP
cana-4274	408	17	negative	negative	ADJ
cana-4274	408	18	.	.	PUNCT
cana-4274	409	1	this	this	PRON
cana-4274	409	2	demonstrates	demonstrate	VERB
cana-4274	409	3	the	the	DET
cana-4274	409	4	model	model	NOUN
cana-4274	409	5	's	's	PART
cana-4274	409	6	effectiveness	effectiveness	NOUN
cana-4274	409	7	in	in	ADP
cana-4274	409	8	correctly	correctly	ADV
cana-4274	409	9	classifying	classify	VERB
cana-4274	409	10	sentiment	sentiment	NOUN
cana-4274	409	11	with	with	ADP
cana-4274	409	12	very	very	ADV
cana-4274	409	13	few	few	ADJ
cana-4274	409	14	errors	error	NOUN
cana-4274	409	15	,	,	PUNCT
cana-4274	409	16	reflecting	reflect	VERB
cana-4274	409	17	its	its	PRON
cana-4274	409	18	reliability	reliability	NOUN
cana-4274	409	19	and	and	CCONJ
cana-4274	409	20	precision	precision	NOUN
cana-4274	409	21	in	in	ADP
cana-4274	409	22	practical	practical	ADJ
cana-4274	409	23	applications	application	NOUN
cana-4274	409	24	.	.	PUNCT
cana-4274	410	1	class	class	NOUN
cana-4274	410	2	text	text	NOUN
cana-4274	410	3	audio	audio	NOUN
cana-4274	410	4	video	video	NOUN
cana-4274	410	5	anger	anger	NOUN
cana-4274	410	6	look	look	NOUN
cana-4274	410	7	,	,	PUNCT
cana-4274	410	8	i	i	PRON
cana-4274	410	9	want	want	VERB
cana-4274	410	10	to	to	PART
cana-4274	410	11	be	be	AUX
cana-4274	410	12	free	free	ADJ
cana-4274	410	13	to	to	PART
cana-4274	410	14	come	come	VERB
cana-4274	410	15	and	and	CCONJ
cana-4274	410	16	leave	leave	VERB
cana-4274	410	17	anytime	anytime	NOUN
cana-4274	410	18	i	i	PRON
cana-4274	410	19	like	like	VERB
cana-4274	410	20	because	because	SCONJ
cana-4274	410	21	this	this	PRON
cana-4274	410	22	is	be	AUX
cana-4274	410	23	my	my	PRON
cana-4274	410	24	home	home	NOUN
cana-4274	410	25	!	!	PUNCT
cana-4274	411	1	fear	fear	NOUN
cana-4274	411	2	i	i	PRON
cana-4274	411	3	need	need	VERB
cana-4274	411	4	your	your	PRON
cana-4274	411	5	assistanc	assistanc	NOUN
cana-4274	411	6	e	e	NOUN
cana-4274	411	7	,	,	PUNCT
cana-4274	411	8	you	you	PRON
cana-4274	411	9	need	need	VERB
cana-4274	411	10	to	to	PART
cana-4274	411	11	set	set	VERB
cana-4274	411	12	me	i	PRON
cana-4274	411	13	up	up	ADP
cana-4274	411	14	,	,	PUNCT
cana-4274	411	15	and	and	CCONJ
cana-4274	411	16	you	you	PRON
cana-4274	411	17	need	need	VERB
cana-4274	411	18	to	to	PART
cana-4274	411	19	get	get	VERB
cana-4274	411	20	me	i	PRON
cana-4274	411	21	back	back	ADV
cana-4274	411	22	into	into	ADP
cana-4274	411	23	the	the	DET
cana-4274	411	24	game	game	NOUN
cana-4274	411	25	.	.	PUNCT
cana-4274	412	1	surpri	surpri	PROPN
cana-4274	412	2	se	se	PROPN
cana-4274	412	3	the	the	DET
cana-4274	412	4	presence	presence	NOUN
cana-4274	412	5	of	of	ADP
cana-4274	412	6	a	a	DET
cana-4274	412	7	kangaroo	kangaroo	NOUN
cana-4274	412	8	in	in	ADP
cana-4274	412	9	a	a	DET
cana-4274	412	10	world	world	NOUN
cana-4274	412	11	war	war	NOUN
cana-4274	412	12	i	i	PRON
cana-4274	412	13	epic	epic	VERB
cana-4274	412	14	communications	communication	NOUN
cana-4274	412	15	on	on	ADP
cana-4274	412	16	applied	apply	VERB
cana-4274	412	17	nonlinear	nonlinear	ADJ
cana-4274	412	18	analysis	analysis	NOUN
cana-4274	412	19	issn	issn	NOUN
cana-4274	412	20	:	:	PUNCT
cana-4274	412	21	1074	1074	NUM
cana-4274	412	22	-	-	PUNCT
cana-4274	412	23	133x	133x	NUM
cana-4274	412	24	vol	vol	NOUN
cana-4274	412	25	32	32	NUM
cana-4274	413	1	no	no	NOUN
cana-4274	413	2	.	.	PUNCT
cana-4274	414	1	9s	9s	NUM
cana-4274	414	2	(	(	PUNCT
cana-4274	414	3	2025	2025	NUM
cana-4274	414	4	)	)	PUNCT
cana-4274	414	5	1696	1696	NUM
cana-4274	414	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	414	7	startled	startle	VERB
cana-4274	414	8	me	i	PRON
cana-4274	414	9	.	.	PUNCT
cana-4274	415	1	joy	joy	NOUN
cana-4274	415	2	compare	compare	VERB
cana-4274	415	3	d	d	PROPN
cana-4274	415	4	to	to	ADP
cana-4274	415	5	our	our	PRON
cana-4274	415	6	first	first	ADJ
cana-4274	415	7	outing	outing	NOUN
cana-4274	415	8	,	,	PUNCT
cana-4274	415	9	this	this	PRON
cana-4274	415	10	is	be	AUX
cana-4274	415	11	so	so	ADV
cana-4274	415	12	much	much	ADV
cana-4274	415	13	better	well	ADJ
cana-4274	415	14	.	.	PUNCT
cana-4274	416	1	sadne	sadne	PROPN
cana-4274	417	1	ss	ss	INTJ
cana-4274	417	2	i	i	PRON
cana-4274	417	3	had	have	VERB
cana-4274	417	4	to	to	PART
cana-4274	417	5	leave	leave	VERB
cana-4274	417	6	.	.	PUNCT
cana-4274	418	1	it	it	PRON
cana-4274	418	2	's	be	AUX
cana-4274	418	3	getting	get	VERB
cana-4274	418	4	really	really	ADV
cana-4274	418	5	late	late	ADV
cana-4274	418	6	now	now	ADV
cana-4274	418	7	,	,	PUNCT
cana-4274	418	8	but	but	CCONJ
cana-4274	418	9	i	i	PRON
cana-4274	418	10	love	love	VERB
cana-4274	418	11	and	and	CCONJ
cana-4274	418	12	miss	miss	VERB
cana-4274	418	13	you	you	PRON
cana-4274	418	14	too	too	ADV
cana-4274	418	15	.	.	PUNCT
cana-4274	419	1	neutr	neutr	PROPN
cana-4274	419	2	al	al	PROPN
cana-4274	419	3	hey	hey	INTJ
cana-4274	419	4	,	,	PUNCT
cana-4274	419	5	what	what	PRON
cana-4274	419	6	about	about	ADP
cana-4274	419	7	the	the	DET
cana-4274	419	8	kangaroo	kangaroo	NOUN
cana-4274	419	9	scene	scene	NOUN
cana-4274	419	10	?	?	PUNCT
cana-4274	420	1	did	do	AUX
cana-4274	420	2	you	you	PRON
cana-4274	420	3	enjoy	enjoy	VERB
cana-4274	420	4	that	that	DET
cana-4274	420	5	section	section	NOUN
cana-4274	420	6	?	?	PUNCT
cana-4274	421	1	disgu	disgu	PROPN
cana-4274	421	2	st	st	PROPN
cana-4274	422	1	both	both	PRON
cana-4274	422	2	my	my	PRON
cana-4274	422	3	granny	granny	NOUN
cana-4274	422	4	and	and	CCONJ
cana-4274	422	5	her	her	PRON
cana-4274	422	6	new	new	ADJ
cana-4274	422	7	partner	partner	NOUN
cana-4274	422	8	are	be	AUX
cana-4274	422	9	a	a	DET
cana-4274	422	10	little	little	ADJ
cana-4274	422	11	awkward	awkward	ADJ
cana-4274	422	12	in	in	ADP
cana-4274	422	13	bed	bed	NOUN
cana-4274	422	14	.	.	PUNCT
cana-4274	423	1	figure	figure	VERB
cana-4274	423	2	5	5	NUM
cana-4274	423	3	:	:	PUNCT
cana-4274	423	4	sample	sample	NOUN
cana-4274	423	5	output	output	NOUN
cana-4274	423	6	figure	figure	NOUN
cana-4274	423	7	5	5	NUM
cana-4274	423	8	presents	present	VERB
cana-4274	423	9	the	the	DET
cana-4274	423	10	distribution	distribution	NOUN
cana-4274	423	11	and	and	CCONJ
cana-4274	423	12	types	type	NOUN
cana-4274	423	13	of	of	ADP
cana-4274	423	14	emotions	emotion	NOUN
cana-4274	423	15	identified	identify	VERB
cana-4274	423	16	in	in	ADP
cana-4274	423	17	the	the	DET
cana-4274	423	18	sample	sample	NOUN
cana-4274	423	19	data	datum	NOUN
cana-4274	423	20	,	,	PUNCT
cana-4274	423	21	including	include	VERB
cana-4274	423	22	fear	fear	NOUN
cana-4274	423	23	,	,	PUNCT
cana-4274	423	24	surprise	surprise	NOUN
cana-4274	423	25	,	,	PUNCT
cana-4274	423	26	joy	joy	NOUN
cana-4274	423	27	,	,	PUNCT
cana-4274	423	28	sadness	sadness	NOUN
cana-4274	423	29	,	,	PUNCT
cana-4274	423	30	neutral	neutral	ADJ
cana-4274	423	31	,	,	PUNCT
cana-4274	423	32	and	and	CCONJ
cana-4274	423	33	disgust	disgust	NOUN
cana-4274	423	34	.	.	PUNCT
cana-4274	424	1	the	the	DET
cana-4274	424	2	total	total	ADJ
cana-4274	424	3	count	count	NOUN
cana-4274	424	4	for	for	ADP
cana-4274	424	5	each	each	DET
cana-4274	424	6	emotion	emotion	NOUN
cana-4274	424	7	type	type	NOUN
cana-4274	424	8	is	be	AUX
cana-4274	424	9	depicted	depict	VERB
cana-4274	424	10	,	,	PUNCT
cana-4274	424	11	providing	provide	VERB
cana-4274	424	12	insights	insight	NOUN
cana-4274	424	13	into	into	ADP
cana-4274	424	14	the	the	DET
cana-4274	424	15	overall	overall	ADJ
cana-4274	424	16	emotional	emotional	ADJ
cana-4274	424	17	landscape	landscape	NOUN
cana-4274	424	18	of	of	ADP
cana-4274	424	19	the	the	DET
cana-4274	424	20	analyzed	analyze	VERB
cana-4274	424	21	text	text	NOUN
cana-4274	424	22	or	or	CCONJ
cana-4274	424	23	dataset	dataset	NOUN
cana-4274	424	24	.	.	PUNCT
cana-4274	425	1	fear	fear	NOUN
cana-4274	425	2	reflects	reflect	VERB
cana-4274	425	3	communications	communication	NOUN
cana-4274	425	4	on	on	ADP
cana-4274	425	5	applied	apply	VERB
cana-4274	425	6	nonlinear	nonlinear	ADJ
cana-4274	425	7	analysis	analysis	NOUN
cana-4274	425	8	issn	issn	NOUN
cana-4274	425	9	:	:	PUNCT
cana-4274	425	10	1074	1074	NUM
cana-4274	425	11	-	-	PUNCT
cana-4274	425	12	133x	133x	NUM
cana-4274	425	13	vol	vol	NOUN
cana-4274	425	14	32	32	NUM
cana-4274	425	15	no	no	NOUN
cana-4274	425	16	.	.	PUNCT
cana-4274	426	1	9s	9s	NUM
cana-4274	426	2	(	(	PUNCT
cana-4274	426	3	2025	2025	NUM
cana-4274	426	4	)	)	PUNCT
cana-4274	426	5	1697	1697	NUM
cana-4274	427	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	427	2	apprehension	apprehension	NOUN
cana-4274	427	3	or	or	CCONJ
cana-4274	427	4	anxiety	anxiety	NOUN
cana-4274	427	5	,	,	PUNCT
cana-4274	427	6	surprise	surprise	NOUN
cana-4274	427	7	indicates	indicate	VERB
cana-4274	427	8	unexpected	unexpected	ADJ
cana-4274	427	9	events	event	NOUN
cana-4274	427	10	,	,	PUNCT
cana-4274	427	11	joy	joy	NOUN
cana-4274	427	12	represents	represent	VERB
cana-4274	427	13	happiness	happiness	NOUN
cana-4274	427	14	or	or	CCONJ
cana-4274	427	15	positive	positive	ADJ
cana-4274	427	16	feelings	feeling	NOUN
cana-4274	427	17	,	,	PUNCT
cana-4274	427	18	sadness	sadness	NOUN
cana-4274	427	19	denotes	denote	NOUN
cana-4274	427	20	sorrow	sorrow	NOUN
cana-4274	427	21	or	or	CCONJ
cana-4274	427	22	negative	negative	ADJ
cana-4274	427	23	emotions	emotion	NOUN
cana-4274	427	24	,	,	PUNCT
cana-4274	427	25	neutral	neutral	ADJ
cana-4274	427	26	signifies	signify	VERB
cana-4274	427	27	a	a	DET
cana-4274	427	28	lack	lack	NOUN
cana-4274	427	29	of	of	ADP
cana-4274	427	30	strong	strong	ADJ
cana-4274	427	31	emotions	emotion	NOUN
cana-4274	427	32	,	,	PUNCT
cana-4274	427	33	and	and	CCONJ
cana-4274	427	34	disgust	disgust	NOUN
cana-4274	427	35	shows	show	VERB
cana-4274	427	36	aversion	aversion	NOUN
cana-4274	427	37	or	or	CCONJ
cana-4274	427	38	strong	strong	ADJ
cana-4274	427	39	disapproval	disapproval	NOUN
cana-4274	427	40	.	.	PUNCT
cana-4274	428	1	this	this	DET
cana-4274	428	2	distribution	distribution	NOUN
cana-4274	428	3	helps	help	VERB
cana-4274	428	4	in	in	ADP
cana-4274	428	5	understanding	understand	VERB
cana-4274	428	6	the	the	DET
cana-4274	428	7	emotional	emotional	ADJ
cana-4274	428	8	tone	tone	NOUN
cana-4274	428	9	and	and	CCONJ
cana-4274	428	10	variations	variation	NOUN
cana-4274	428	11	within	within	ADP
cana-4274	428	12	the	the	DET
cana-4274	428	13	data	data	NOUN
cana-4274	428	14	.	.	PUNCT
cana-4274	429	1	(	(	PUNCT
cana-4274	429	2	a	a	X
cana-4274	429	3	)	)	PUNCT
cana-4274	429	4	(	(	PUNCT
cana-4274	429	5	b	b	X
cana-4274	429	6	)	)	PUNCT
cana-4274	429	7	figure	figure	NOUN
cana-4274	429	8	6	6	NUM
cana-4274	429	9	:	:	PUNCT
cana-4274	429	10	accuracy	accuracy	NOUN
cana-4274	429	11	vs	vs	ADP
cana-4274	429	12	loss	loss	NOUN
cana-4274	429	13	curve	curve	NOUN
cana-4274	429	14	comparison	comparison	NOUN
cana-4274	429	15	figure	figure	NOUN
cana-4274	429	16	6	6	NUM
cana-4274	429	17	compares	compare	VERB
cana-4274	429	18	the	the	DET
cana-4274	429	19	concert	concert	NOUN
cana-4274	429	20	of	of	ADP
cana-4274	429	21	the	the	DET
cana-4274	429	22	proposed	propose	VERB
cana-4274	429	23	capsule	capsule	NOUN
cana-4274	429	24	net	net	ADJ
cana-4274	429	25	-	-	PUNCT
cana-4274	429	26	scso	scso	NOUN
cana-4274	429	27	model	model	NOUN
cana-4274	429	28	with	with	ADP
cana-4274	429	29	dbn	dbn	PROPN
cana-4274	429	30	,	,	PUNCT
cana-4274	429	31	rnn	rnn	PROPN
cana-4274	429	32	,	,	PUNCT
cana-4274	429	33	cnn	cnn	PROPN
cana-4274	429	34	,	,	PUNCT
cana-4274	429	35	and	and	CCONJ
cana-4274	429	36	svm	svm	ADJ
cana-4274	429	37	models	model	NOUN
cana-4274	429	38	in	in	ADP
cana-4274	429	39	terms	term	NOUN
cana-4274	429	40	of	of	ADP
cana-4274	429	41	accuracy	accuracy	NOUN
cana-4274	429	42	and	and	CCONJ
cana-4274	429	43	loss	loss	NOUN
cana-4274	429	44	over	over	ADP
cana-4274	429	45	epochs	epoch	NOUN
cana-4274	429	46	.	.	PUNCT
cana-4274	430	1	the	the	DET
cana-4274	430	2	accuracy	accuracy	NOUN
cana-4274	430	3	curve	curve	NOUN
cana-4274	430	4	shows	show	VERB
cana-4274	430	5	that	that	SCONJ
cana-4274	430	6	the	the	DET
cana-4274	430	7	proposed	propose	VERB
cana-4274	430	8	capsule	capsule	NOUN
cana-4274	430	9	net	net	NOUN
cana-4274	430	10	-	-	PUNCT
cana-4274	430	11	scso	scso	PROPN
cana-4274	430	12	achieves	achieve	VERB
cana-4274	430	13	the	the	DET
cana-4274	430	14	highest	high	ADJ
cana-4274	430	15	accuracy	accuracy	NOUN
cana-4274	430	16	faster	fast	ADV
cana-4274	430	17	than	than	ADP
cana-4274	430	18	other	other	ADJ
cana-4274	430	19	models	model	NOUN
cana-4274	430	20	,	,	PUNCT
cana-4274	430	21	stabilizing	stabilize	VERB
cana-4274	430	22	around	around	ADV
cana-4274	430	23	100	100	NUM
cana-4274	430	24	epochs	epoch	NOUN
cana-4274	430	25	.	.	PUNCT
cana-4274	431	1	the	the	DET
cana-4274	431	2	loss	loss	NOUN
cana-4274	431	3	curve	curve	NOUN
cana-4274	431	4	indicates	indicate	VERB
cana-4274	431	5	that	that	SCONJ
cana-4274	431	6	the	the	DET
cana-4274	431	7	capsule	capsule	NOUN
cana-4274	431	8	net	net	ADJ
cana-4274	431	9	-	-	PUNCT
cana-4274	431	10	scso	scso	NOUN
cana-4274	431	11	model	model	NOUN
cana-4274	431	12	converges	converge	VERB
cana-4274	431	13	more	more	ADV
cana-4274	431	14	quickly	quickly	ADV
cana-4274	431	15	and	and	CCONJ
cana-4274	431	16	to	to	ADP
cana-4274	431	17	a	a	DET
cana-4274	431	18	lower	low	ADJ
cana-4274	431	19	loss	loss	NOUN
cana-4274	431	20	value	value	NOUN
cana-4274	431	21	compared	compare	VERB
cana-4274	431	22	to	to	ADP
cana-4274	431	23	the	the	DET
cana-4274	431	24	other	other	ADJ
cana-4274	431	25	models	model	NOUN
cana-4274	431	26	,	,	PUNCT
cana-4274	431	27	demonstrating	demonstrate	VERB
cana-4274	431	28	its	its	PRON
cana-4274	431	29	superior	superior	ADJ
cana-4274	431	30	learning	learning	NOUN
cana-4274	431	31	efficiency	efficiency	NOUN
cana-4274	431	32	and	and	CCONJ
cana-4274	431	33	effectiveness	effectiveness	NOUN
cana-4274	431	34	in	in	ADP
cana-4274	431	35	minimizing	minimize	VERB
cana-4274	431	36	error	error	NOUN
cana-4274	431	37	over	over	ADP
cana-4274	431	38	training	training	NOUN
cana-4274	431	39	epochs	epoch	NOUN
cana-4274	431	40	.	.	PUNCT
cana-4274	432	1	figure	figure	NOUN
cana-4274	432	2	7	7	NUM
cana-4274	432	3	:	:	PUNCT
cana-4274	432	4	auc	auc	NOUN
cana-4274	432	5	graph	graph	NOUN
cana-4274	432	6	communications	communication	NOUN
cana-4274	432	7	on	on	ADP
cana-4274	432	8	applied	apply	VERB
cana-4274	432	9	nonlinear	nonlinear	ADJ
cana-4274	432	10	analysis	analysis	NOUN
cana-4274	432	11	issn	issn	NOUN
cana-4274	432	12	:	:	PUNCT
cana-4274	432	13	1074	1074	NUM
cana-4274	432	14	-	-	PUNCT
cana-4274	432	15	133x	133x	NUM
cana-4274	432	16	vol	vol	NOUN
cana-4274	432	17	32	32	NUM
cana-4274	432	18	no	no	NOUN
cana-4274	432	19	.	.	PUNCT
cana-4274	433	1	9s	9s	NUM
cana-4274	433	2	(	(	PUNCT
cana-4274	433	3	2025	2025	NUM
cana-4274	433	4	)	)	PUNCT
cana-4274	433	5	1698	1698	NUM
cana-4274	433	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	434	1	the	the	DET
cana-4274	434	2	above	above	ADJ
cana-4274	434	3	figure	figure	NOUN
cana-4274	434	4	7	7	NUM
cana-4274	434	5	shows	show	VERB
cana-4274	434	6	auc	auc	NOUN
cana-4274	434	7	graph	graph	NOUN
cana-4274	434	8	compares	compare	NOUN
cana-4274	434	9	show	show	NOUN
cana-4274	434	10	of	of	ADP
cana-4274	434	11	future	future	ADJ
cana-4274	434	12	capsule	capsule	NOUN
cana-4274	434	13	net	net	ADJ
cana-4274	434	14	-	-	PUNCT
cana-4274	434	15	scso	scso	NOUN
cana-4274	434	16	model	model	NOUN
cana-4274	434	17	with	with	ADP
cana-4274	434	18	dbn	dbn	PROPN
cana-4274	434	19	,	,	PUNCT
cana-4274	434	20	rnn	rnn	PROPN
cana-4274	434	21	,	,	PUNCT
cana-4274	434	22	cnn	cnn	PROPN
cana-4274	434	23	,	,	PUNCT
cana-4274	434	24	and	and	CCONJ
cana-4274	434	25	dnn	dnn	PROPN
cana-4274	434	26	models	model	NOUN
cana-4274	434	27	.	.	PUNCT
cana-4274	435	1	the	the	DET
cana-4274	435	2	proposed	propose	VERB
cana-4274	435	3	capsule	capsule	NOUN
cana-4274	435	4	net	net	NOUN
cana-4274	435	5	-	-	PUNCT
cana-4274	435	6	scso	scso	PROPN
cana-4274	435	7	achieves	achieve	VERB
cana-4274	435	8	the	the	DET
cana-4274	435	9	highest	high	ADJ
cana-4274	435	10	auc	auc	NOUN
cana-4274	435	11	of	of	ADP
cana-4274	435	12	0.98	0.98	NUM
cana-4274	435	13	,	,	PUNCT
cana-4274	435	14	indicating	indicate	VERB
cana-4274	435	15	superior	superior	ADJ
cana-4274	435	16	performance	performance	NOUN
cana-4274	435	17	in	in	ADP
cana-4274	435	18	distinguishing	distinguish	VERB
cana-4274	435	19	between	between	ADP
cana-4274	435	20	classes	class	NOUN
cana-4274	435	21	.	.	PUNCT
cana-4274	436	1	dbn	dbn	PROPN
cana-4274	436	2	follows	follow	VERB
cana-4274	436	3	with	with	ADP
cana-4274	436	4	an	an	DET
cana-4274	436	5	auc	auc	NOUN
cana-4274	436	6	of	of	ADP
cana-4274	436	7	0.96	0.96	NUM
cana-4274	436	8	,	,	PUNCT
cana-4274	436	9	while	while	SCONJ
cana-4274	436	10	rnn	rnn	NOUN
cana-4274	436	11	,	,	PUNCT
cana-4274	436	12	cnn	cnn	PROPN
cana-4274	436	13	,	,	PUNCT
cana-4274	436	14	and	and	CCONJ
cana-4274	436	15	dnn	dnn	PROPN
cana-4274	436	16	achieve	achieve	VERB
cana-4274	436	17	aucs	aucs	NOUN
cana-4274	436	18	of	of	ADP
cana-4274	436	19	0.94	0.94	NUM
cana-4274	436	20	,	,	PUNCT
cana-4274	436	21	0.92	0.92	NUM
cana-4274	436	22	,	,	PUNCT
cana-4274	436	23	and	and	CCONJ
cana-4274	436	24	0.90	0.90	NUM
cana-4274	436	25	,	,	PUNCT
cana-4274	436	26	respectively	respectively	ADV
cana-4274	436	27	.	.	PUNCT
cana-4274	437	1	the	the	DET
cana-4274	437	2	results	result	NOUN
cana-4274	437	3	demonstrate	demonstrate	VERB
cana-4274	437	4	that	that	SCONJ
cana-4274	437	5	the	the	DET
cana-4274	437	6	capsule	capsule	NOUN
cana-4274	437	7	net	net	ADJ
cana-4274	437	8	-	-	PUNCT
cana-4274	437	9	scso	scso	NOUN
cana-4274	437	10	model	model	NOUN
cana-4274	437	11	has	have	VERB
cana-4274	437	12	the	the	DET
cana-4274	437	13	best	good	ADJ
cana-4274	437	14	true	true	ADJ
cana-4274	437	15	positive	positive	ADJ
cana-4274	437	16	rate	rate	NOUN
cana-4274	437	17	against	against	ADP
cana-4274	437	18	the	the	DET
cana-4274	437	19	false	false	ADJ
cana-4274	437	20	positive	positive	ADJ
cana-4274	437	21	rate	rate	NOUN
cana-4274	437	22	,	,	PUNCT
cana-4274	437	23	highlighting	highlight	VERB
cana-4274	437	24	its	its	PRON
cana-4274	437	25	effectiveness	effectiveness	NOUN
cana-4274	437	26	and	and	CCONJ
cana-4274	437	27	reliability	reliability	NOUN
cana-4274	437	28	in	in	ADP
cana-4274	437	29	classification	classification	NOUN
cana-4274	437	30	tasks	task	NOUN
cana-4274	437	31	compared	compare	VERB
cana-4274	437	32	to	to	ADP
cana-4274	437	33	other	other	ADJ
cana-4274	437	34	models	model	NOUN
cana-4274	437	35	.	.	PUNCT
cana-4274	438	1	figure	figure	VERB
cana-4274	438	2	8	8	NUM
cana-4274	438	3	:	:	PUNCT
cana-4274	438	4	classification	classification	NOUN
cana-4274	438	5	comparison	comparison	NOUN
cana-4274	438	6	with	with	ADP
cana-4274	438	7	existing	exist	VERB
cana-4274	438	8	method	method	NOUN
cana-4274	438	9	the	the	DET
cana-4274	438	10	figure	figure	NOUN
cana-4274	438	11	8	8	NUM
cana-4274	438	12	classification	classification	NOUN
cana-4274	438	13	comparison	comparison	NOUN
cana-4274	438	14	graph	graph	NOUN
cana-4274	438	15	illustrates	illustrate	VERB
cana-4274	438	16	the	the	DET
cana-4274	438	17	performance	performance	NOUN
cana-4274	438	18	of	of	ADP
cana-4274	438	19	the	the	DET
cana-4274	438	20	proposed	propose	VERB
cana-4274	438	21	capsule	capsule	NOUN
cana-4274	438	22	netscso	netscso	PROPN
cana-4274	438	23	model	model	PROPN
cana-4274	438	24	against	against	ADP
cana-4274	438	25	dbn	dbn	PROPN
cana-4274	438	26	,	,	PUNCT
cana-4274	438	27	rnn	rnn	PROPN
cana-4274	438	28	,	,	PUNCT
cana-4274	438	29	cnn	cnn	PROPN
cana-4274	438	30	,	,	PUNCT
cana-4274	438	31	and	and	CCONJ
cana-4274	438	32	svm	svm	VERB
cana-4274	438	33	across	across	ADP
cana-4274	438	34	four	four	NUM
cana-4274	438	35	metrics	metric	NOUN
cana-4274	438	36	:	:	PUNCT
cana-4274	438	37	accuracy	accuracy	NOUN
cana-4274	438	38	,	,	PUNCT
cana-4274	438	39	precision	precision	NOUN
cana-4274	438	40	,	,	PUNCT
cana-4274	438	41	recall	recall	NOUN
cana-4274	438	42	,	,	PUNCT
cana-4274	438	43	and	and	CCONJ
cana-4274	439	1	f	f	X
cana-4274	439	2	-	-	PUNCT
cana-4274	439	3	measure	measure	NOUN
cana-4274	439	4	.	.	PUNCT
cana-4274	440	1	the	the	DET
cana-4274	440	2	capsule	capsule	ADJ
cana-4274	440	3	net	net	ADJ
cana-4274	440	4	-	-	PUNCT
cana-4274	440	5	scso	scso	NOUN
cana-4274	440	6	model	model	NOUN
cana-4274	440	7	consistently	consistently	ADV
cana-4274	440	8	outperforms	outperform	VERB
cana-4274	440	9	the	the	DET
cana-4274	440	10	other	other	ADJ
cana-4274	440	11	models	model	NOUN
cana-4274	440	12	,	,	PUNCT
cana-4274	440	13	achieving	achieve	VERB
cana-4274	440	14	the	the	DET
cana-4274	440	15	highest	high	ADJ
cana-4274	440	16	scores	score	NOUN
cana-4274	440	17	in	in	ADP
cana-4274	440	18	all	all	DET
cana-4274	440	19	metrics	metric	NOUN
cana-4274	440	20	.	.	PUNCT
cana-4274	441	1	this	this	PRON
cana-4274	441	2	indicates	indicate	VERB
cana-4274	441	3	its	its	PRON
cana-4274	441	4	superior	superior	ADJ
cana-4274	441	5	ability	ability	NOUN
cana-4274	441	6	to	to	PART
cana-4274	441	7	accurately	accurately	ADV
cana-4274	441	8	classify	classify	VERB
cana-4274	441	9	data	datum	NOUN
cana-4274	441	10	,	,	PUNCT
cana-4274	441	11	maintain	maintain	VERB
cana-4274	441	12	precision	precision	NOUN
cana-4274	441	13	,	,	PUNCT
cana-4274	441	14	effectively	effectively	ADV
cana-4274	441	15	recall	recall	VERB
cana-4274	441	16	relevant	relevant	ADJ
cana-4274	441	17	instances	instance	NOUN
cana-4274	441	18	,	,	PUNCT
cana-4274	441	19	and	and	CCONJ
cana-4274	441	20	balance	balance	NOUN
cana-4274	441	21	precision	precision	NOUN
cana-4274	441	22	and	and	CCONJ
cana-4274	441	23	recall	recall	NOUN
cana-4274	441	24	.	.	PUNCT
cana-4274	442	1	the	the	DET
cana-4274	442	2	results	result	NOUN
cana-4274	442	3	underscore	underscore	VERB
cana-4274	442	4	the	the	DET
cana-4274	442	5	robustness	robustness	NOUN
cana-4274	442	6	and	and	CCONJ
cana-4274	442	7	reliability	reliability	NOUN
cana-4274	442	8	of	of	ADP
cana-4274	442	9	the	the	DET
cana-4274	442	10	capsule	capsule	NOUN
cana-4274	442	11	net	net	ADJ
cana-4274	442	12	-	-	PUNCT
cana-4274	442	13	scso	scso	NOUN
cana-4274	442	14	model	model	NOUN
cana-4274	442	15	compared	compare	VERB
cana-4274	442	16	to	to	ADP
cana-4274	442	17	traditional	traditional	ADJ
cana-4274	442	18	methods	method	NOUN
cana-4274	442	19	in	in	ADP
cana-4274	442	20	classification	classification	NOUN
cana-4274	442	21	tasks	task	NOUN
cana-4274	442	22	.	.	PUNCT
cana-4274	443	1	table	table	NOUN
cana-4274	443	2	2	2	NUM
cana-4274	443	3	:	:	PUNCT
cana-4274	443	4	comparison	comparison	NOUN
cana-4274	443	5	table	table	NOUN
cana-4274	443	6	methods	method	NOUN
cana-4274	443	7	accuracy	accuracy	NOUN
cana-4274	443	8	precision	precision	NOUN
cana-4274	443	9	recall	recall	PROPN
cana-4274	443	10	fmeasure	fmeasure	PROPN
cana-4274	443	11	proposed	propose	VERB
cana-4274	443	12	capsule	capsule	NOUN
cana-4274	443	13	netscso	netscso	PROPN
cana-4274	443	14	98.91	98.91	NUM
cana-4274	443	15	98.83	98.83	NUM
cana-4274	443	16	99.04	99.04	NUM
cana-4274	443	17	98.44	98.44	NUM
cana-4274	443	18	dbn	dbn	PROPN
cana-4274	443	19	96.62	96.62	NUM
cana-4274	443	20	96.37	96.37	NUM
cana-4274	443	21	96.96	96.96	NUM
cana-4274	443	22	96.66	96.66	NUM
cana-4274	443	23	rnn	rnn	NOUN
cana-4274	443	24	94.12	94.12	NUM
cana-4274	443	25	93.948	93.948	NUM
cana-4274	443	26	94.51	94.51	NUM
cana-4274	443	27	94.22	94.22	NUM
cana-4274	443	28	cnn	cnn	PROPN
cana-4274	443	29	92.61	92.61	NUM
cana-4274	443	30	92.25	92.25	NUM
cana-4274	443	31	93.19	93.19	NUM
cana-4274	443	32	92.72	92.72	NUM
cana-4274	443	33	svm	svm	NOUN
cana-4274	443	34	90.1	90.1	NUM
cana-4274	443	35	89.85	89.85	NUM
cana-4274	443	36	90.75	90.75	NUM
cana-4274	443	37	90.3	90.3	NUM
cana-4274	443	38	communications	communication	NOUN
cana-4274	443	39	on	on	ADP
cana-4274	443	40	applied	apply	VERB
cana-4274	443	41	nonlinear	nonlinear	ADJ
cana-4274	443	42	analysis	analysis	NOUN
cana-4274	443	43	issn	issn	NOUN
cana-4274	443	44	:	:	PUNCT
cana-4274	443	45	1074	1074	NUM
cana-4274	443	46	-	-	PUNCT
cana-4274	443	47	133x	133x	NUM
cana-4274	443	48	vol	vol	NOUN
cana-4274	443	49	32	32	NUM
cana-4274	443	50	no	no	NOUN
cana-4274	443	51	.	.	PUNCT
cana-4274	444	1	9s	9s	NUM
cana-4274	444	2	(	(	PUNCT
cana-4274	444	3	2025	2025	NUM
cana-4274	444	4	)	)	PUNCT
cana-4274	444	5	1699	1699	NUM
cana-4274	444	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	444	7	table	table	NOUN
cana-4274	444	8	2	2	NUM
cana-4274	444	9	shows	show	VERB
cana-4274	444	10	the	the	DET
cana-4274	444	11	comparative	comparative	ADJ
cana-4274	444	12	performance	performance	NOUN
cana-4274	444	13	of	of	ADP
cana-4274	444	14	various	various	ADJ
cana-4274	444	15	methods	method	NOUN
cana-4274	444	16	,	,	PUNCT
cana-4274	444	17	highlighting	highlight	VERB
cana-4274	444	18	the	the	DET
cana-4274	444	19	superiority	superiority	NOUN
cana-4274	444	20	of	of	ADP
cana-4274	444	21	the	the	DET
cana-4274	444	22	proposed	propose	VERB
cana-4274	444	23	capsule	capsule	NOUN
cana-4274	444	24	net	net	ADJ
cana-4274	444	25	-	-	PUNCT
cana-4274	444	26	scso	scso	NOUN
cana-4274	444	27	model	model	NOUN
cana-4274	444	28	.	.	PUNCT
cana-4274	445	1	it	it	PRON
cana-4274	445	2	achieves	achieve	VERB
cana-4274	445	3	the	the	DET
cana-4274	445	4	highest	high	ADJ
cana-4274	445	5	accuracy	accuracy	NOUN
cana-4274	445	6	(	(	PUNCT
cana-4274	445	7	98.91	98.91	NUM
cana-4274	445	8	%	%	NOUN
cana-4274	445	9	)	)	PUNCT
cana-4274	445	10	,	,	PUNCT
cana-4274	445	11	precision	precision	NOUN
cana-4274	445	12	(	(	PUNCT
cana-4274	445	13	98.83	98.83	NUM
cana-4274	445	14	%	%	NOUN
cana-4274	445	15	)	)	PUNCT
cana-4274	445	16	,	,	PUNCT
cana-4274	445	17	recall	recall	INTJ
cana-4274	445	18	(	(	PUNCT
cana-4274	445	19	99.04	99.04	NUM
cana-4274	445	20	%	%	NOUN
cana-4274	445	21	)	)	PUNCT
cana-4274	445	22	,	,	PUNCT
cana-4274	445	23	and	and	CCONJ
cana-4274	445	24	f	f	X
cana-4274	445	25	-	-	PUNCT
cana-4274	445	26	measure	measure	NOUN
cana-4274	445	27	(	(	PUNCT
cana-4274	445	28	98.44	98.44	NUM
cana-4274	445	29	%	%	NOUN
cana-4274	445	30	)	)	PUNCT
cana-4274	445	31	,	,	PUNCT
cana-4274	445	32	outperforming	outperforming	NOUN
cana-4274	445	33	dbn	dbn	PROPN
cana-4274	445	34	,	,	PUNCT
cana-4274	445	35	rnn	rnn	PROPN
cana-4274	445	36	,	,	PUNCT
cana-4274	445	37	cnn	cnn	PROPN
cana-4274	445	38	,	,	PUNCT
cana-4274	445	39	and	and	CCONJ
cana-4274	446	1	svm	svm	PROPN
cana-4274	446	2	.	.	PROPN
cana-4274	446	3	dbn	dbn	PROPN
cana-4274	446	4	is	be	AUX
cana-4274	446	5	the	the	DET
cana-4274	446	6	next	next	ADJ
cana-4274	446	7	best	good	ADJ
cana-4274	446	8	,	,	PUNCT
cana-4274	446	9	with	with	ADP
cana-4274	446	10	accuracy	accuracy	NOUN
cana-4274	446	11	and	and	CCONJ
cana-4274	446	12	f	f	X
cana-4274	446	13	-	-	PUNCT
cana-4274	446	14	measure	measure	NOUN
cana-4274	446	15	scores	score	NOUN
cana-4274	446	16	of	of	ADP
cana-4274	446	17	96.62	96.62	NUM
cana-4274	446	18	%	%	NOUN
cana-4274	446	19	and	and	CCONJ
cana-4274	446	20	96.66	96.66	NUM
cana-4274	446	21	%	%	NOUN
cana-4274	446	22	,	,	PUNCT
cana-4274	446	23	respectively	respectively	ADV
cana-4274	446	24	.	.	PUNCT
cana-4274	447	1	rnn	rnn	PROPN
cana-4274	447	2	,	,	PUNCT
cana-4274	447	3	cnn	cnn	PROPN
cana-4274	447	4	,	,	PUNCT
cana-4274	447	5	and	and	CCONJ
cana-4274	447	6	svm	svm	PROPN
cana-4274	447	7	follow	follow	VERB
cana-4274	447	8	with	with	ADP
cana-4274	447	9	progressively	progressively	ADV
cana-4274	447	10	lower	low	ADJ
cana-4274	447	11	scores	score	NOUN
cana-4274	447	12	,	,	PUNCT
cana-4274	447	13	demonstrating	demonstrate	VERB
cana-4274	447	14	that	that	SCONJ
cana-4274	447	15	the	the	DET
cana-4274	447	16	capsule	capsule	NOUN
cana-4274	447	17	net	net	ADJ
cana-4274	447	18	-	-	PUNCT
cana-4274	447	19	scso	scso	NOUN
cana-4274	447	20	model	model	NOUN
cana-4274	447	21	excels	excel	NOUN
cana-4274	447	22	in	in	ADP
cana-4274	447	23	all	all	DET
cana-4274	447	24	evaluated	evaluated	ADJ
cana-4274	447	25	metrics	metric	NOUN
cana-4274	447	26	,	,	PUNCT
cana-4274	447	27	making	make	VERB
cana-4274	447	28	it	it	PRON
cana-4274	447	29	the	the	DET
cana-4274	447	30	most	most	ADV
cana-4274	447	31	effective	effective	ADJ
cana-4274	447	32	and	and	CCONJ
cana-4274	447	33	reliable	reliable	ADJ
cana-4274	447	34	method	method	NOUN
cana-4274	447	35	for	for	ADP
cana-4274	447	36	the	the	DET
cana-4274	447	37	classification	classification	NOUN
cana-4274	447	38	tasks	task	NOUN
cana-4274	447	39	in	in	ADP
cana-4274	447	40	this	this	DET
cana-4274	447	41	study	study	NOUN
cana-4274	447	42	.	.	PUNCT
cana-4274	448	1	figure	figure	NOUN
cana-4274	448	2	9	9	NUM
cana-4274	448	3	:	:	PUNCT
cana-4274	448	4	feature	feature	NOUN
cana-4274	448	5	fusion	fusion	NOUN
cana-4274	448	6	comparison	comparison	NOUN
cana-4274	448	7	figure	figure	NOUN
cana-4274	448	8	9	9	NUM
cana-4274	448	9	demonstrates	demonstrate	VERB
cana-4274	448	10	the	the	DET
cana-4274	448	11	effectiveness	effectiveness	NOUN
cana-4274	448	12	of	of	ADP
cana-4274	448	13	various	various	ADJ
cana-4274	448	14	feature	feature	NOUN
cana-4274	448	15	fusion	fusion	NOUN
cana-4274	448	16	methods	method	NOUN
cana-4274	448	17	,	,	PUNCT
cana-4274	448	18	with	with	ADP
cana-4274	448	19	the	the	DET
cana-4274	448	20	proposed	propose	VERB
cana-4274	448	21	mdfs	mdfs	NOUN
cana-4274	448	22	achieving	achieve	VERB
cana-4274	448	23	the	the	DET
cana-4274	448	24	highest	high	ADJ
cana-4274	448	25	metrics	metric	NOUN
cana-4274	448	26	:	:	PUNCT
cana-4274	448	27	98.91	98.91	NUM
cana-4274	448	28	%	%	NOUN
cana-4274	448	29	accuracy	accuracy	NOUN
cana-4274	448	30	,	,	PUNCT
cana-4274	448	31	98.83	98.83	NUM
cana-4274	448	32	%	%	NOUN
cana-4274	448	33	precision	precision	NOUN
cana-4274	448	34	,	,	PUNCT
cana-4274	448	35	99.04	99.04	NUM
cana-4274	448	36	%	%	NOUN
cana-4274	448	37	recall	recall	NOUN
cana-4274	448	38	,	,	PUNCT
cana-4274	448	39	and	and	CCONJ
cana-4274	448	40	98.94	98.94	NUM
cana-4274	448	41	%	%	NOUN
cana-4274	448	42	fmeasure	fmeasure	NOUN
cana-4274	448	43	.	.	PUNCT
cana-4274	449	1	these	these	DET
cana-4274	449	2	results	result	NOUN
cana-4274	449	3	indicate	indicate	VERB
cana-4274	449	4	that	that	SCONJ
cana-4274	449	5	mdfs	mdfs	NOUN
cana-4274	449	6	outperforms	outperform	VERB
cana-4274	449	7	other	other	ADJ
cana-4274	449	8	fusion	fusion	NOUN
cana-4274	449	9	methods	method	NOUN
cana-4274	449	10	like	like	VERB
cana-4274	449	11	as	as	ADP
cana-4274	449	12	graph	graph	NOUN
cana-4274	449	13	fusion	fusion	NOUN
cana-4274	449	14	,	,	PUNCT
cana-4274	449	15	tensor	tensor	NOUN
cana-4274	449	16	fusion	fusion	NOUN
cana-4274	449	17	,	,	PUNCT
cana-4274	449	18	late	late	ADJ
cana-4274	449	19	fusion	fusion	NOUN
cana-4274	449	20	,	,	PUNCT
cana-4274	449	21	and	and	CCONJ
cana-4274	449	22	early	early	ADJ
cana-4274	449	23	fusion	fusion	NOUN
cana-4274	449	24	.	.	PUNCT
cana-4274	450	1	the	the	DET
cana-4274	450	2	superior	superior	ADJ
cana-4274	450	3	performance	performance	NOUN
cana-4274	450	4	of	of	ADP
cana-4274	450	5	mdfs	mdfs	ADJ
cana-4274	450	6	highlights	highlight	NOUN
cana-4274	450	7	its	its	PRON
cana-4274	450	8	capability	capability	NOUN
cana-4274	450	9	in	in	ADP
cana-4274	450	10	integrating	integrate	VERB
cana-4274	450	11	multiple	multiple	ADJ
cana-4274	450	12	features	feature	NOUN
cana-4274	450	13	effectively	effectively	ADV
cana-4274	450	14	,	,	PUNCT
cana-4274	450	15	leading	lead	VERB
cana-4274	450	16	to	to	ADP
cana-4274	450	17	improved	improve	VERB
cana-4274	450	18	classification	classification	NOUN
cana-4274	450	19	accuracy	accuracy	NOUN
cana-4274	450	20	and	and	CCONJ
cana-4274	450	21	reliability	reliability	NOUN
cana-4274	450	22	in	in	ADP
cana-4274	450	23	comparison	comparison	NOUN
cana-4274	450	24	to	to	ADP
cana-4274	450	25	traditional	traditional	ADJ
cana-4274	450	26	fusion	fusion	NOUN
cana-4274	450	27	techniques	technique	NOUN
cana-4274	450	28	.	.	PUNCT
cana-4274	451	1	table	table	NOUN
cana-4274	451	2	3	3	NUM
cana-4274	451	3	:	:	PUNCT
cana-4274	451	4	feature	feature	NOUN
cana-4274	451	5	fusion	fusion	NOUN
cana-4274	451	6	comparison	comparison	NOUN
cana-4274	451	7	table	table	NOUN
cana-4274	451	8	methods	method	NOUN
cana-4274	451	9	accuracy	accuracy	NOUN
cana-4274	451	10	precision	precision	NOUN
cana-4274	451	11	recall	recall	VERB
cana-4274	451	12	f	f	NOUN
cana-4274	451	13	-	-	PUNCT
cana-4274	451	14	measure	measure	NOUN
cana-4274	451	15	proposed	propose	VERB
cana-4274	451	16	mdfs	mdfs	NOUN
cana-4274	451	17	98.99	98.99	NUM
cana-4274	451	18	98.83	98.83	NUM
cana-4274	451	19	99.04	99.04	NUM
cana-4274	451	20	98.94	98.94	NUM
cana-4274	451	21	graph	graph	NOUN
cana-4274	451	22	fusion	fusion	NOUN
cana-4274	451	23	96.61	96.61	NUM
cana-4274	451	24	96.37	96.37	NUM
cana-4274	451	25	96.96	96.96	NUM
cana-4274	451	26	96.66	96.66	NUM
cana-4274	451	27	tensor	tensor	NOUN
cana-4274	451	28	fusion	fusion	NOUN
cana-4274	451	29	94.11	94.11	NUM
cana-4274	451	30	93.94	93.94	NUM
cana-4274	451	31	94.51	94.51	NUM
cana-4274	451	32	94.22	94.22	NUM
cana-4274	451	33	late	late	ADJ
cana-4274	451	34	fusion	fusion	NOUN
cana-4274	451	35	92.61	92.61	NUM
cana-4274	451	36	92.25	92.25	NUM
cana-4274	451	37	93.19	93.19	NUM
cana-4274	451	38	92.72	92.72	NUM
cana-4274	451	39	early	early	ADJ
cana-4274	451	40	fusion	fusion	NOUN
cana-4274	451	41	90.1	90.1	NUM
cana-4274	451	42	89.85	89.85	NUM
cana-4274	451	43	90.75	90.75	NUM
cana-4274	451	44	90.3	90.3	NUM
cana-4274	451	45	communications	communication	NOUN
cana-4274	451	46	on	on	ADP
cana-4274	451	47	applied	apply	VERB
cana-4274	451	48	nonlinear	nonlinear	ADJ
cana-4274	451	49	analysis	analysis	NOUN
cana-4274	451	50	issn	issn	NOUN
cana-4274	451	51	:	:	PUNCT
cana-4274	451	52	1074	1074	NUM
cana-4274	451	53	-	-	PUNCT
cana-4274	451	54	133x	133x	NUM
cana-4274	451	55	vol	vol	NOUN
cana-4274	451	56	32	32	NUM
cana-4274	451	57	no	no	NOUN
cana-4274	451	58	.	.	PUNCT
cana-4274	452	1	9s	9s	NUM
cana-4274	452	2	(	(	PUNCT
cana-4274	452	3	2025	2025	NUM
cana-4274	452	4	)	)	PUNCT
cana-4274	452	5	1700	1700	NUM
cana-4274	452	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	452	7	table	table	NOUN
cana-4274	452	8	3	3	NUM
cana-4274	452	9	provides	provide	VERB
cana-4274	452	10	a	a	DET
cana-4274	452	11	comparative	comparative	ADJ
cana-4274	452	12	analysis	analysis	NOUN
cana-4274	452	13	of	of	ADP
cana-4274	452	14	feature	feature	NOUN
cana-4274	452	15	fusion	fusion	NOUN
cana-4274	452	16	methods	method	NOUN
cana-4274	452	17	,	,	PUNCT
cana-4274	452	18	underscoring	underscore	VERB
cana-4274	452	19	superior	superior	ADJ
cana-4274	452	20	presentation	presentation	NOUN
cana-4274	452	21	of	of	ADP
cana-4274	452	22	the	the	DET
cana-4274	452	23	proposed	propose	VERB
cana-4274	452	24	mdfs	mdfs	ADJ
cana-4274	452	25	technique	technique	NOUN
cana-4274	452	26	.	.	PUNCT
cana-4274	453	1	the	the	DET
cana-4274	453	2	mdfs	mdfs	ADJ
cana-4274	453	3	method	method	NOUN
cana-4274	453	4	achieves	achieve	VERB
cana-4274	453	5	the	the	DET
cana-4274	453	6	highest	high	ADJ
cana-4274	453	7	accuracy	accuracy	NOUN
cana-4274	453	8	(	(	PUNCT
cana-4274	453	9	98.99	98.99	NUM
cana-4274	453	10	%	%	NOUN
cana-4274	453	11	)	)	PUNCT
cana-4274	453	12	,	,	PUNCT
cana-4274	453	13	precision	precision	NOUN
cana-4274	453	14	(	(	PUNCT
cana-4274	453	15	98.83	98.83	NUM
cana-4274	453	16	%	%	NOUN
cana-4274	453	17	)	)	PUNCT
cana-4274	453	18	,	,	PUNCT
cana-4274	453	19	recall	recall	INTJ
cana-4274	453	20	(	(	PUNCT
cana-4274	453	21	99.04	99.04	NUM
cana-4274	453	22	%	%	NOUN
cana-4274	453	23	)	)	PUNCT
cana-4274	453	24	,	,	PUNCT
cana-4274	453	25	and	and	CCONJ
cana-4274	453	26	f	f	X
cana-4274	453	27	-	-	PUNCT
cana-4274	453	28	measure	measure	NOUN
cana-4274	453	29	(	(	PUNCT
cana-4274	453	30	98.94	98.94	NUM
cana-4274	453	31	%	%	NOUN
cana-4274	453	32	)	)	PUNCT
cana-4274	453	33	,	,	PUNCT
cana-4274	453	34	outperforming	outperform	VERB
cana-4274	453	35	graph	graph	NOUN
cana-4274	453	36	fusion	fusion	NOUN
cana-4274	453	37	,	,	PUNCT
cana-4274	453	38	tensor	tensor	NOUN
cana-4274	453	39	fusion	fusion	NOUN
cana-4274	453	40	,	,	PUNCT
cana-4274	453	41	late	late	ADJ
cana-4274	453	42	fusion	fusion	NOUN
cana-4274	453	43	,	,	PUNCT
cana-4274	453	44	and	and	CCONJ
cana-4274	453	45	early	early	ADJ
cana-4274	453	46	fusion	fusion	NOUN
cana-4274	453	47	.	.	PUNCT
cana-4274	454	1	graph	graph	NOUN
cana-4274	454	2	fusion	fusion	NOUN
cana-4274	454	3	is	be	AUX
cana-4274	454	4	the	the	DET
cana-4274	454	5	next	next	ADJ
cana-4274	454	6	best	good	ADJ
cana-4274	454	7	with	with	ADP
cana-4274	454	8	96.61	96.61	NUM
cana-4274	454	9	%	%	NOUN
cana-4274	454	10	accuracy	accuracy	NOUN
cana-4274	454	11	and	and	CCONJ
cana-4274	454	12	a	a	DET
cana-4274	454	13	96.66	96.66	NUM
cana-4274	454	14	%	%	NOUN
cana-4274	454	15	f	f	NOUN
cana-4274	454	16	-	-	NOUN
cana-4274	454	17	measure	measure	NOUN
cana-4274	454	18	.	.	PUNCT
cana-4274	455	1	tensor	tensor	NOUN
cana-4274	455	2	fusion	fusion	NOUN
cana-4274	455	3	,	,	PUNCT
cana-4274	455	4	late	late	ADJ
cana-4274	455	5	fusion	fusion	NOUN
cana-4274	455	6	,	,	PUNCT
cana-4274	455	7	and	and	CCONJ
cana-4274	455	8	early	early	ADJ
cana-4274	455	9	fusion	fusion	NOUN
cana-4274	455	10	show	show	VERB
cana-4274	455	11	progressively	progressively	ADV
cana-4274	455	12	lower	low	ADJ
cana-4274	455	13	performance	performance	NOUN
cana-4274	455	14	,	,	PUNCT
cana-4274	455	15	with	with	ADP
cana-4274	455	16	early	early	ADJ
cana-4274	455	17	fusion	fusion	NOUN
cana-4274	455	18	having	have	VERB
cana-4274	455	19	the	the	DET
cana-4274	455	20	lowest	low	ADJ
cana-4274	455	21	metrics	metric	NOUN
cana-4274	455	22	.	.	PUNCT
cana-4274	456	1	these	these	DET
cana-4274	456	2	results	result	NOUN
cana-4274	456	3	highlight	highlight	VERB
cana-4274	456	4	mdfs	mdfs	NOUN
cana-4274	456	5	's	's	PART
cana-4274	456	6	effectiveness	effectiveness	NOUN
cana-4274	456	7	in	in	ADP
cana-4274	456	8	enhancing	enhance	VERB
cana-4274	456	9	classification	classification	NOUN
cana-4274	456	10	tasks	task	NOUN
cana-4274	456	11	through	through	ADP
cana-4274	456	12	robust	robust	ADJ
cana-4274	456	13	feature	feature	NOUN
cana-4274	456	14	integration	integration	NOUN
cana-4274	456	15	.	.	PUNCT
cana-4274	457	1	figure	figure	NOUN
cana-4274	457	2	10	10	NUM
cana-4274	457	3	:	:	PUNCT
cana-4274	457	4	fitness	fitness	NOUN
cana-4274	457	5	improvement	improvement	NOUN
cana-4274	457	6	over	over	ADP
cana-4274	457	7	iteration	iteration	NOUN
cana-4274	457	8	graph	graph	NOUN
cana-4274	457	9	in	in	ADP
cana-4274	457	10	the	the	DET
cana-4274	457	11	result	result	NOUN
cana-4274	457	12	section	section	NOUN
cana-4274	457	13	,	,	PUNCT
cana-4274	457	14	figure	figure	VERB
cana-4274	457	15	10	10	NUM
cana-4274	457	16	depicts	depict	VERB
cana-4274	457	17	the	the	DET
cana-4274	457	18	fitness	fitness	NOUN
cana-4274	457	19	improvement	improvement	NOUN
cana-4274	457	20	over	over	ADP
cana-4274	457	21	iterations	iteration	NOUN
cana-4274	457	22	,	,	PUNCT
cana-4274	457	23	showing	show	VERB
cana-4274	457	24	a	a	DET
cana-4274	457	25	clear	clear	ADJ
cana-4274	457	26	upward	upward	ADJ
cana-4274	457	27	trend	trend	NOUN
cana-4274	457	28	indicative	indicative	ADJ
cana-4274	457	29	of	of	ADP
cana-4274	457	30	the	the	DET
cana-4274	457	31	optimization	optimization	NOUN
cana-4274	457	32	process	process	NOUN
cana-4274	457	33	's	's	PART
cana-4274	457	34	effectiveness	effectiveness	NOUN
cana-4274	457	35	.	.	PUNCT
cana-4274	458	1	the	the	DET
cana-4274	458	2	graph	graph	NOUN
cana-4274	458	3	reveals	reveal	VERB
cana-4274	458	4	a	a	DET
cana-4274	458	5	steady	steady	ADJ
cana-4274	458	6	increase	increase	NOUN
cana-4274	458	7	in	in	ADP
cana-4274	458	8	fitness	fitness	NOUN
cana-4274	458	9	scores	score	NOUN
cana-4274	458	10	as	as	ADP
cana-4274	458	11	iterations	iteration	NOUN
cana-4274	458	12	progress	progress	NOUN
cana-4274	458	13	,	,	PUNCT
cana-4274	458	14	suggesting	suggest	VERB
cana-4274	458	15	iterative	iterative	NOUN
cana-4274	458	16	refinement	refinement	NOUN
cana-4274	458	17	and	and	CCONJ
cana-4274	458	18	convergence	convergence	NOUN
cana-4274	458	19	towards	towards	ADP
cana-4274	458	20	betterperforming	betterperforming	NOUN
cana-4274	458	21	solutions	solution	NOUN
cana-4274	458	22	.	.	PUNCT
cana-4274	459	1	this	this	DET
cana-4274	459	2	visual	visual	ADJ
cana-4274	459	3	representation	representation	NOUN
cana-4274	459	4	underscores	underscore	VERB
cana-4274	459	5	the	the	DET
cana-4274	459	6	algorithm	algorithm	NOUN
cana-4274	459	7	's	's	PART
cana-4274	459	8	efficacy	efficacy	NOUN
cana-4274	459	9	in	in	ADP
cana-4274	459	10	enhancing	enhance	VERB
cana-4274	459	11	performance	performance	NOUN
cana-4274	459	12	metrics	metric	NOUN
cana-4274	459	13	,	,	PUNCT
cana-4274	459	14	validating	validate	VERB
cana-4274	459	15	the	the	DET
cana-4274	459	16	approach	approach	NOUN
cana-4274	459	17	's	's	PART
cana-4274	459	18	success	success	NOUN
cana-4274	459	19	in	in	ADP
cana-4274	459	20	achieving	achieve	VERB
cana-4274	459	21	improved	improved	ADJ
cana-4274	459	22	outcomes	outcome	NOUN
cana-4274	459	23	through	through	ADP
cana-4274	459	24	successive	successive	ADJ
cana-4274	459	25	iterations	iteration	NOUN
cana-4274	459	26	.	.	PUNCT
cana-4274	460	1	4.4	4.4	NUM
cana-4274	460	2	.	.	PUNCT
cana-4274	460	3	comparison	comparison	NOUN
cana-4274	460	4	with	with	ADP
cana-4274	460	5	previous	previous	ADJ
cana-4274	460	6	literature	literature	NOUN
cana-4274	460	7	previous	previous	ADJ
cana-4274	460	8	literature	literature	NOUN
cana-4274	460	9	on	on	ADP
cana-4274	460	10	multimodal	multimodal	NOUN
cana-4274	460	11	emotion	emotion	NOUN
cana-4274	460	12	recognition	recognition	NOUN
cana-4274	460	13	emphasizes	emphasize	VERB
cana-4274	460	14	the	the	DET
cana-4274	460	15	importance	importance	NOUN
cana-4274	460	16	of	of	ADP
cana-4274	460	17	integrating	integrate	VERB
cana-4274	460	18	diverse	diverse	ADJ
cana-4274	460	19	data	datum	NOUN
cana-4274	460	20	sources	source	NOUN
cana-4274	460	21	,	,	PUNCT
cana-4274	460	22	such	such	ADJ
cana-4274	460	23	as	as	ADP
cana-4274	460	24	text	text	NOUN
cana-4274	460	25	,	,	PUNCT
cana-4274	460	26	audio	audio	NOUN
cana-4274	460	27	,	,	PUNCT
cana-4274	460	28	and	and	CCONJ
cana-4274	460	29	visual	visual	ADJ
cana-4274	460	30	modalities	modality	NOUN
cana-4274	460	31	,	,	PUNCT
cana-4274	460	32	to	to	PART
cana-4274	460	33	improve	improve	VERB
cana-4274	460	34	emotional	emotional	ADJ
cana-4274	460	35	understanding	understanding	NOUN
cana-4274	460	36	.	.	PUNCT
cana-4274	461	1	studies	study	NOUN
cana-4274	461	2	have	have	AUX
cana-4274	461	3	shown	show	VERB
cana-4274	461	4	that	that	SCONJ
cana-4274	461	5	combining	combine	VERB
cana-4274	461	6	these	these	DET
cana-4274	461	7	modalities	modality	NOUN
cana-4274	461	8	can	can	AUX
cana-4274	461	9	significantly	significantly	ADV
cana-4274	461	10	enhance	enhance	VERB
cana-4274	461	11	classification	classification	NOUN
cana-4274	461	12	accuracy	accuracy	NOUN
cana-4274	461	13	compared	compare	VERB
cana-4274	461	14	to	to	ADP
cana-4274	461	15	unimodal	unimodal	ADJ
cana-4274	461	16	approaches	approach	NOUN
cana-4274	461	17	.	.	PUNCT
cana-4274	462	1	our	our	PRON
cana-4274	462	2	framework	framework	NOUN
cana-4274	462	3	builds	build	VERB
cana-4274	462	4	on	on	ADP
cana-4274	462	5	this	this	DET
cana-4274	462	6	foundation	foundation	NOUN
cana-4274	462	7	by	by	ADP
cana-4274	462	8	proposing	propose	VERB
cana-4274	462	9	a	a	DET
cana-4274	462	10	unified	unified	ADJ
cana-4274	462	11	architecture	architecture	NOUN
cana-4274	462	12	that	that	PRON
cana-4274	462	13	optimally	optimally	ADV
cana-4274	462	14	leverages	leverage	VERB
cana-4274	462	15	the	the	DET
cana-4274	462	16	synergies	synergy	NOUN
cana-4274	462	17	between	between	ADP
cana-4274	462	18	these	these	DET
cana-4274	462	19	modalities	modality	NOUN
cana-4274	462	20	for	for	ADP
cana-4274	462	21	more	more	ADV
cana-4274	462	22	robust	robust	ADJ
cana-4274	462	23	emotion	emotion	NOUN
cana-4274	462	24	recognition	recognition	NOUN
cana-4274	462	25	.	.	PUNCT
cana-4274	463	1	table	table	NOUN
cana-4274	463	2	4	4	NUM
cana-4274	463	3	:	:	PUNCT
cana-4274	463	4	performance	performance	NOUN
cana-4274	463	5	comparison	comparison	NOUN
cana-4274	463	6	with	with	ADP
cana-4274	463	7	previous	previous	ADJ
cana-4274	463	8	state	state	NOUN
cana-4274	463	9	-	-	PUNCT
cana-4274	463	10	of	of	ADP
cana-4274	463	11	-	-	PUNCT
cana-4274	463	12	the	the	DET
cana-4274	463	13	-	-	PUNCT
cana-4274	463	14	art	art	NOUN
cana-4274	463	15	methods	method	NOUN
cana-4274	463	16	references	reference	NOUN
cana-4274	463	17	dataset	dataset	NOUN
cana-4274	463	18	methods	method	NOUN
cana-4274	463	19	metrics	metric	NOUN
cana-4274	463	20	accuracy	accuracy	NOUN
cana-4274	463	21	precision	precision	NOUN
cana-4274	463	22	recall	recall	NOUN
cana-4274	463	23	f	f	PROPN
cana-4274	463	24	measure	measure	NOUN
cana-4274	463	25	communications	communication	NOUN
cana-4274	463	26	on	on	ADP
cana-4274	463	27	applied	apply	VERB
cana-4274	463	28	nonlinear	nonlinear	ADJ
cana-4274	463	29	analysis	analysis	NOUN
cana-4274	463	30	issn	issn	NOUN
cana-4274	463	31	:	:	PUNCT
cana-4274	463	32	1074	1074	NUM
cana-4274	463	33	-	-	PUNCT
cana-4274	463	34	133x	133x	NUM
cana-4274	463	35	vol	vol	NOUN
cana-4274	463	36	32	32	NUM
cana-4274	464	1	no	no	NOUN
cana-4274	464	2	.	.	PUNCT
cana-4274	465	1	9s	9s	NUM
cana-4274	465	2	(	(	PUNCT
cana-4274	465	3	2025	2025	NUM
cana-4274	465	4	)	)	PUNCT
cana-4274	465	5	1701	1701	NUM
cana-4274	465	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	466	1	liu	liu	PROPN
cana-4274	466	2	et	et	PROPN
cana-4274	466	3	al	al	PROPN
cana-4274	466	4	.	.	PUNCT
cana-4274	467	1	[	[	X
cana-4274	467	2	15	15	NUM
cana-4274	467	3	]	]	X
cana-4274	467	4	seed	seed	NOUN
cana-4274	467	5	-	-	PUNCT
cana-4274	467	6	v	v	NOUN
cana-4274	467	7	and	and	CCONJ
cana-4274	467	8	dreamer	dreamer	X
cana-4274	467	9	deep	deep	ADJ
cana-4274	467	10	canonical	canonical	ADJ
cana-4274	467	11	correlation	correlation	NOUN
cana-4274	467	12	analysis	analysis	NOUN
cana-4274	467	13	(	(	PUNCT
cana-4274	467	14	dcca	dcca	PROPN
cana-4274	467	15	)	)	PUNCT
cana-4274	467	16	85.3	85.3	NUM
cana-4274	467	17	%	%	NOUN
cana-4274	467	18	cimtay	cimtay	NOUN
cana-4274	467	19	et	et	PROPN
cana-4274	467	20	al	al	PROPN
cana-4274	467	21	.	.	PUNCT
cana-4274	468	1	[	[	X
cana-4274	468	2	16	16	NUM
cana-4274	468	3	]	]	PUNCT
cana-4274	468	4	lumed-2	lumed-2	NUM
cana-4274	468	5	galvanic	galvanic	ADJ
cana-4274	468	6	skin	skin	NOUN
cana-4274	468	7	response	response	NOUN
cana-4274	468	8	(	(	PUNCT
cana-4274	468	9	gsr	gsr	NOUN
cana-4274	468	10	)	)	PUNCT
cana-4274	468	11	and	and	CCONJ
cana-4274	468	12	electroence	electroence	NOUN
cana-4274	468	13	phalogram	phalogram	NOUN
cana-4274	468	14	(	(	PUNCT
cana-4274	468	15	eeg	eeg	PROPN
cana-4274	468	16	)	)	PUNCT
cana-4274	468	17	91.5	91.5	NUM
cana-4274	468	18	zhang	zhang	X
cana-4274	468	19	et	et	PROPN
cana-4274	468	20	al	al	PROPN
cana-4274	468	21	.	.	PUNCT
cana-4274	469	1	[	[	X
cana-4274	469	2	17	17	NUM
cana-4274	469	3	]	]	X
cana-4274	469	4	deap	deap	NOUN
cana-4274	469	5	and	and	CCONJ
cana-4274	469	6	mahnobhci	mahnobhci	VERB
cana-4274	469	7	a	a	DET
cana-4274	469	8	hierarchical	hierarchical	ADJ
cana-4274	469	9	fusion	fusion	NOUN
cana-4274	469	10	convolution	convolution	NOUN
cana-4274	469	11	al	al	PROPN
cana-4274	469	12	neural	neural	ADJ
cana-4274	469	13	network	network	PROPN
cana-4274	469	14	89	89	NUM
cana-4274	469	15	siriwardhan	siriwardhan	PROPN
cana-4274	469	16	a	a	PRON
cana-4274	469	17	et	et	NOUN
cana-4274	469	18	al	al	PROPN
cana-4274	469	19	.	.	PUNCT
cana-4274	470	1	[	[	X
cana-4274	470	2	18	18	NUM
cana-4274	470	3	]	]	PUNCT
cana-4274	470	4	publicly	publicly	ADV
cana-4274	470	5	available	available	ADJ
cana-4274	470	6	multimodal	multimodal	NOUN
cana-4274	470	7	datasets	dataset	NOUN
cana-4274	470	8	self	self	NOUN
cana-4274	470	9	supervised	supervise	VERB
cana-4274	470	10	learning	learning	NOUN
cana-4274	470	11	(	(	PUNCT
cana-4274	470	12	ssl	ssl	PROPN
cana-4274	470	13	)	)	PUNCT
cana-4274	470	14	87.3	87.3	NUM
cana-4274	470	15	87	87	NUM
cana-4274	470	16	lee	lee	PROPN
cana-4274	470	17	et	et	PROPN
cana-4274	470	18	al	al	PROPN
cana-4274	470	19	.	.	PUNCT
cana-4274	471	1	[	[	X
cana-4274	471	2	19	19	NUM
cana-4274	471	3	]	]	X
cana-4274	471	4	cmumosi	cmumosi	PROPN
cana-4274	471	5	,	,	PUNCT
cana-4274	471	6	cmumosei	cmumosei	NOUN
cana-4274	471	7	,	,	PUNCT
cana-4274	471	8	and	and	CCONJ
cana-4274	471	9	iemocap	iemocap	PROPN
cana-4274	471	10	bert	bert	PROPN
cana-4274	471	11	model	model	PROPN
cana-4274	471	12	86.29	86.29	NUM
cana-4274	471	13	86.23	86.23	NUM
cana-4274	471	14	proposed	propose	VERB
cana-4274	471	15	meld	meld	ADJ
cana-4274	471	16	capsule	capsule	PROPN
cana-4274	471	17	net	net	NOUN
cana-4274	471	18	98.91	98.91	NUM
cana-4274	471	19	98.83	98.83	NUM
cana-4274	471	20	99.04	99.04	NUM
cana-4274	471	21	98.94	98.94	NUM
cana-4274	471	22	table	table	NOUN
cana-4274	471	23	4	4	NUM
cana-4274	471	24	presents	present	VERB
cana-4274	471	25	a	a	DET
cana-4274	471	26	presentation	presentation	NOUN
cana-4274	471	27	comparison	comparison	NOUN
cana-4274	471	28	of	of	ADP
cana-4274	471	29	our	our	PRON
cana-4274	471	30	planned	plan	VERB
cana-4274	471	31	method	method	NOUN
cana-4274	471	32	against	against	ADP
cana-4274	471	33	modern	modern	ADJ
cana-4274	471	34	approaches	approach	NOUN
cana-4274	471	35	in	in	ADP
cana-4274	471	36	multimodal	multimodal	ADJ
cana-4274	471	37	emotion	emotion	NOUN
cana-4274	471	38	recognition	recognition	NOUN
cana-4274	471	39	.	.	PUNCT
cana-4274	472	1	our	our	PRON
cana-4274	472	2	capsule	capsule	PROPN
cana-4274	472	3	net	net	ADJ
cana-4274	472	4	model	model	NOUN
cana-4274	472	5	achieved	achieve	VERB
cana-4274	472	6	the	the	DET
cana-4274	472	7	highest	high	ADJ
cana-4274	472	8	accuracy	accuracy	NOUN
cana-4274	472	9	of	of	ADP
cana-4274	472	10	98.91	98.91	NUM
cana-4274	472	11	%	%	NOUN
cana-4274	472	12	on	on	ADP
cana-4274	472	13	the	the	DET
cana-4274	472	14	meld	meld	ADJ
cana-4274	472	15	dataset	dataset	NOUN
cana-4274	472	16	,	,	PUNCT
cana-4274	472	17	significantly	significantly	ADV
cana-4274	472	18	outperforming	outperform	VERB
cana-4274	472	19	other	other	ADJ
cana-4274	472	20	methods	method	NOUN
cana-4274	472	21	.	.	PUNCT
cana-4274	473	1	for	for	ADP
cana-4274	473	2	example	example	NOUN
cana-4274	473	3	,	,	PUNCT
cana-4274	473	4	previous	previous	ADJ
cana-4274	473	5	methods	method	NOUN
cana-4274	473	6	reported	report	VERB
cana-4274	473	7	accuracies	accuracy	NOUN
cana-4274	473	8	ranging	range	VERB
cana-4274	473	9	from	from	ADP
cana-4274	473	10	85.3	85.3	NUM
cana-4274	473	11	%	%	NOUN
cana-4274	473	12	to	to	ADP
cana-4274	473	13	91.5	91.5	NUM
cana-4274	473	14	%	%	NOUN
cana-4274	473	15	,	,	PUNCT
cana-4274	473	16	highlighting	highlight	VERB
cana-4274	473	17	the	the	DET
cana-4274	473	18	superior	superior	ADJ
cana-4274	473	19	effectiveness	effectiveness	NOUN
cana-4274	473	20	of	of	ADP
cana-4274	473	21	our	our	PRON
cana-4274	473	22	framework	framework	NOUN
cana-4274	473	23	.	.	PUNCT
cana-4274	474	1	this	this	PRON
cana-4274	474	2	demonstrates	demonstrate	VERB
cana-4274	474	3	the	the	DET
cana-4274	474	4	enhanced	enhanced	ADJ
cana-4274	474	5	capability	capability	NOUN
cana-4274	474	6	of	of	ADP
cana-4274	474	7	leveraging	leverage	VERB
cana-4274	474	8	multimodal	multimodal	NOUN
cana-4274	474	9	data	datum	NOUN
cana-4274	474	10	for	for	ADP
cana-4274	474	11	improved	improve	VERB
cana-4274	474	12	emotional	emotional	ADJ
cana-4274	474	13	understanding	understanding	NOUN
cana-4274	474	14	.	.	PUNCT
cana-4274	475	1	5	5	X
cana-4274	475	2	.	.	X
cana-4274	475	3	conclusion	conclusion	NOUN
cana-4274	475	4	and	and	CCONJ
cana-4274	475	5	future	future	ADJ
cana-4274	475	6	scope	scope	NOUN
cana-4274	475	7	this	this	DET
cana-4274	475	8	research	research	NOUN
cana-4274	475	9	effectively	effectively	ADV
cana-4274	475	10	demonstrates	demonstrate	VERB
cana-4274	475	11	the	the	DET
cana-4274	475	12	potential	potential	NOUN
cana-4274	475	13	of	of	ADP
cana-4274	475	14	a	a	DET
cana-4274	475	15	comprehensive	comprehensive	ADJ
cana-4274	475	16	multimodal	multimodal	NOUN
cana-4274	475	17	approach	approach	NOUN
cana-4274	475	18	for	for	ADP
cana-4274	475	19	emotion	emotion	NOUN
cana-4274	475	20	recognition	recognition	NOUN
cana-4274	475	21	by	by	ADP
cana-4274	475	22	integrating	integrate	VERB
cana-4274	475	23	audio	audio	NOUN
cana-4274	475	24	,	,	PUNCT
cana-4274	475	25	video	video	NOUN
cana-4274	475	26	,	,	PUNCT
cana-4274	475	27	and	and	CCONJ
cana-4274	475	28	text	text	NOUN
cana-4274	475	29	data	datum	NOUN
cana-4274	475	30	.	.	PUNCT
cana-4274	476	1	the	the	DET
cana-4274	476	2	proposed	propose	VERB
cana-4274	476	3	feature	feature	NOUN
cana-4274	476	4	extraction	extraction	NOUN
cana-4274	476	5	methods	method	NOUN
cana-4274	476	6	,	,	PUNCT
cana-4274	476	7	including	include	VERB
cana-4274	476	8	mfcc	mfcc	NOUN
cana-4274	476	9	for	for	ADP
cana-4274	476	10	audio	audio	NOUN
cana-4274	476	11	,	,	PUNCT
cana-4274	476	12	squeezenet	squeezenet	NOUN
cana-4274	476	13	for	for	ADP
cana-4274	476	14	visual	visual	ADJ
cana-4274	476	15	data	datum	NOUN
cana-4274	476	16	,	,	PUNCT
cana-4274	476	17	and	and	CCONJ
cana-4274	476	18	the	the	DET
cana-4274	476	19	assimilated	assimilated	ADJ
cana-4274	476	20	n	n	CCONJ
cana-4274	476	21	-	-	PUNCT
cana-4274	476	22	gram	gram	NOUN
cana-4274	476	23	approach	approach	NOUN
cana-4274	476	24	for	for	ADP
cana-4274	476	25	text	text	NOUN
cana-4274	476	26	,	,	PUNCT
cana-4274	476	27	significantly	significantly	ADV
cana-4274	476	28	enhance	enhance	VERB
cana-4274	476	29	the	the	DET
cana-4274	476	30	quality	quality	NOUN
cana-4274	476	31	of	of	ADP
cana-4274	476	32	the	the	DET
cana-4274	476	33	input	input	NOUN
cana-4274	476	34	features	feature	NOUN
cana-4274	476	35	.	.	PUNCT
cana-4274	477	1	by	by	ADP
cana-4274	477	2	employing	employ	VERB
cana-4274	477	3	a	a	DET
cana-4274	477	4	robust	robust	ADJ
cana-4274	477	5	communications	communication	NOUN
cana-4274	477	6	on	on	ADP
cana-4274	477	7	applied	apply	VERB
cana-4274	477	8	nonlinear	nonlinear	ADJ
cana-4274	477	9	analysis	analysis	NOUN
cana-4274	477	10	issn	issn	NOUN
cana-4274	477	11	:	:	PUNCT
cana-4274	477	12	1074	1074	NUM
cana-4274	477	13	-	-	PUNCT
cana-4274	477	14	133x	133x	NUM
cana-4274	477	15	vol	vol	NOUN
cana-4274	477	16	32	32	NUM
cana-4274	477	17	no	no	NOUN
cana-4274	477	18	.	.	PUNCT
cana-4274	478	1	9s	9s	NUM
cana-4274	478	2	(	(	PUNCT
cana-4274	478	3	2025	2025	NUM
cana-4274	478	4	)	)	PUNCT
cana-4274	478	5	1702	1702	NUM
cana-4274	478	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4274	478	7	multimodal	multimodal	NOUN
cana-4274	478	8	data	datum	NOUN
cana-4274	478	9	fusion	fusion	NOUN
cana-4274	478	10	strategy	strategy	NOUN
cana-4274	478	11	and	and	CCONJ
cana-4274	478	12	utilizing	utilize	VERB
cana-4274	478	13	capsule	capsule	NOUN
cana-4274	478	14	net	net	NOUN
cana-4274	478	15	for	for	ADP
cana-4274	478	16	classification	classification	NOUN
cana-4274	478	17	,	,	PUNCT
cana-4274	478	18	our	our	PRON
cana-4274	478	19	approach	approach	NOUN
cana-4274	478	20	achieved	achieve	VERB
cana-4274	478	21	impressive	impressive	ADJ
cana-4274	478	22	performance	performance	NOUN
cana-4274	478	23	metrics	metric	NOUN
cana-4274	478	24	,	,	PUNCT
cana-4274	478	25	with	with	ADP
cana-4274	478	26	an	an	DET
cana-4274	478	27	accuracy	accuracy	NOUN
cana-4274	478	28	of	of	ADP
cana-4274	478	29	98.91	98.91	NUM
cana-4274	478	30	%	%	NOUN
cana-4274	478	31	,	,	PUNCT
cana-4274	478	32	precision	precision	NOUN
cana-4274	478	33	of	of	ADP
cana-4274	478	34	98.83	98.83	NUM
cana-4274	478	35	%	%	NOUN
cana-4274	478	36	,	,	PUNCT
cana-4274	478	37	recall	recall	NOUN
cana-4274	478	38	of	of	ADP
cana-4274	478	39	99.04	99.04	NUM
cana-4274	478	40	%	%	NOUN
cana-4274	478	41	,	,	PUNCT
cana-4274	478	42	and	and	CCONJ
cana-4274	478	43	f	f	X
cana-4274	478	44	-	-	PUNCT
cana-4274	478	45	measure	measure	NOUN
cana-4274	478	46	of	of	ADP
cana-4274	478	47	98.94	98.94	NUM
cana-4274	478	48	.	.	PUNCT
cana-4274	479	1	these	these	DET
cana-4274	479	2	results	result	NOUN
cana-4274	479	3	underscore	underscore	VERB
cana-4274	479	4	the	the	DET
cana-4274	479	5	effectiveness	effectiveness	NOUN
cana-4274	479	6	of	of	ADP
cana-4274	479	7	our	our	PRON
cana-4274	479	8	model	model	NOUN
cana-4274	479	9	in	in	ADP
cana-4274	479	10	accurately	accurately	ADV
cana-4274	479	11	identifying	identify	VERB
cana-4274	479	12	emotional	emotional	ADJ
cana-4274	479	13	cues	cue	NOUN
cana-4274	479	14	,	,	PUNCT
cana-4274	479	15	making	make	VERB
cana-4274	479	16	it	it	PRON
cana-4274	479	17	a	a	DET
cana-4274	479	18	valuable	valuable	ADJ
cana-4274	479	19	contribution	contribution	NOUN
cana-4274	479	20	to	to	ADP
cana-4274	479	21	the	the	DET
cana-4274	479	22	field	field	NOUN
cana-4274	479	23	of	of	ADP
cana-4274	479	24	multimodal	multimodal	ADJ
cana-4274	479	25	emotion	emotion	NOUN
cana-4274	479	26	recognition	recognition	NOUN
cana-4274	479	27	.	.	PUNCT
cana-4274	480	1	future	future	ADJ
cana-4274	480	2	research	research	NOUN
cana-4274	480	3	could	could	AUX
cana-4274	480	4	explore	explore	VERB
cana-4274	480	5	the	the	DET
cana-4274	480	6	integration	integration	NOUN
cana-4274	480	7	of	of	ADP
cana-4274	480	8	additional	additional	ADJ
cana-4274	480	9	modalities	modality	NOUN
cana-4274	480	10	,	,	PUNCT
cana-4274	480	11	such	such	ADJ
cana-4274	480	12	as	as	ADP
cana-4274	480	13	physiological	physiological	ADJ
cana-4274	480	14	signals	signal	NOUN
cana-4274	480	15	,	,	PUNCT
cana-4274	480	16	to	to	PART
cana-4274	480	17	further	far	ADV
cana-4274	480	18	enhance	enhance	VERB
cana-4274	480	19	emotion	emotion	NOUN
cana-4274	480	20	recognition	recognition	NOUN
cana-4274	480	21	accuracy	accuracy	NOUN
cana-4274	480	22	.	.	PUNCT
cana-4274	481	1	additionally	additionally	ADV
cana-4274	481	2	,	,	PUNCT
cana-4274	481	3	developing	develop	VERB
cana-4274	481	4	realtime	realtime	ADJ
cana-4274	481	5	processing	processing	NOUN
cana-4274	481	6	capabilities	capability	NOUN
cana-4274	481	7	for	for	ADP
cana-4274	481	8	deployment	deployment	NOUN
cana-4274	481	9	in	in	ADP
cana-4274	481	10	applications	application	NOUN
cana-4274	481	11	like	like	ADP
cana-4274	481	12	mental	mental	ADJ
cana-4274	481	13	health	health	NOUN
cana-4274	481	14	monitoring	monitoring	NOUN
cana-4274	481	15	and	and	CCONJ
cana-4274	481	16	interactive	interactive	ADJ
cana-4274	481	17	systems	system	NOUN
cana-4274	481	18	would	would	AUX
cana-4274	481	19	be	be	AUX
cana-4274	481	20	beneficial	beneficial	ADJ
cana-4274	481	21	.	.	PUNCT
cana-4274	482	1	reference	reference	NOUN
cana-4274	482	2	[	[	X
cana-4274	482	3	1	1	NUM
cana-4274	482	4	]	]	PUNCT
cana-4274	482	5	a.	a.	NOUN
cana-4274	482	6	illendula	illendula	PROPN
cana-4274	482	7	and	and	CCONJ
cana-4274	482	8	a.	a.	PROPN
cana-4274	482	9	sheth	sheth	PROPN
cana-4274	482	10	,	,	PUNCT
cana-4274	482	11	“	"	PUNCT
cana-4274	482	12	multimodal	multimodal	ADJ
cana-4274	482	13	emotion	emotion	NOUN
cana-4274	482	14	classification	classification	NOUN
cana-4274	482	15	,	,	PUNCT
cana-4274	482	16	”	"	PUNCT
cana-4274	482	17	in	in	ADP
cana-4274	482	18	companion	companion	ADJ
cana-4274	482	19	proceedings	proceeding	NOUN
cana-4274	482	20	of	of	ADP
cana-4274	482	21	the	the	DET
cana-4274	482	22	2019	2019	NUM
cana-4274	482	23	world	world	NOUN
cana-4274	482	24	wide	wide	ADJ
cana-4274	482	25	web	web	NOUN
cana-4274	482	26	conference	conference	NOUN
cana-4274	482	27	,	,	PUNCT
cana-4274	482	28	may	may	PROPN
cana-4274	482	29	2019	2019	NUM
cana-4274	482	30	,	,	PUNCT
cana-4274	482	31	pp	pp	ADV
cana-4274	482	32	.	.	PUNCT
cana-4274	483	1	439–449	439–449	NUM
cana-4274	483	2	.	.	PUNCT
cana-4274	484	1	doi	doi	NOUN
cana-4274	484	2	:	:	PUNCT
cana-4274	484	3	10.1145/3308560.3316549	10.1145/3308560.3316549	NUM
cana-4274	484	4	.	.	PUNCT
cana-4274	485	1	[	[	X
cana-4274	485	2	2	2	NUM
cana-4274	485	3	]	]	PUNCT
cana-4274	485	4	“	"	PUNCT
cana-4274	485	5	multimodal	multimodal	ADJ
cana-4274	485	6	transformer	transformer	NOUN
cana-4274	485	7	fusion	fusion	NOUN
cana-4274	485	8	for	for	ADP
cana-4274	485	9	continuous	continuous	ADJ
cana-4274	485	10	emotion	emotion	NOUN
cana-4274	485	11	recognition.pdf	recognition.pdf	PUNCT
cana-4274	485	12	google	google	PROPN
cana-4274	485	13	drive	drive	NOUN
cana-4274	485	14	.	.	PUNCT
cana-4274	485	15	”	"	PUNCT
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cana-4274	485	17	:	:	PUNCT
cana-4274	485	18	jun	jun	PROPN
cana-4274	485	19	.	.	PROPN
cana-4274	485	20	10	10	NUM
cana-4274	485	21	,	,	PUNCT
cana-4274	485	22	2024	2024	NUM
cana-4274	485	23	.	.	PUNCT
cana-4274	486	1	[	[	X
cana-4274	486	2	online	online	X
cana-4274	486	3	]	]	X
cana-4274	486	4	.	.	PUNCT
cana-4274	487	1	available	available	ADJ
cana-4274	487	2	:	:	PUNCT
cana-4274	487	3	https://drive.google.com/file/d/1q6bzxh8xewsdwjazp6lbx2axflkzx-wo/view	https://drive.google.com/file/d/1q6bzxh8xewsdwjazp6lbx2axflkzx-wo/view	VERB
cana-4274	487	4	[	[	X
cana-4274	487	5	3	3	NUM
cana-4274	487	6	]	]	PUNCT
cana-4274	488	1	p.	p.	NOUN
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cana-4274	488	6	zadeh	zadeh	PROPN
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cana-4274	488	8	and	and	CCONJ
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cana-4274	488	10	.	.	PUNCT
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cana-4274	489	2	,	,	PUNCT
cana-4274	489	3	“	"	PUNCT
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cana-4274	489	6	-	-	PUNCT
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cana-4274	489	9	fusion	fusion	NOUN
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cana-4274	489	11	emotion	emotion	NOUN
cana-4274	489	12	recognition	recognition	NOUN
cana-4274	489	13	,	,	PUNCT
cana-4274	489	14	”	"	PUNCT
cana-4274	489	15	aug	aug	PROPN
cana-4274	489	16	.	.	PROPN
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cana-4274	489	18	,	,	PUNCT
cana-4274	489	19	2018	2018	NUM
cana-4274	489	20	,	,	PUNCT
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cana-4274	489	22	:	:	PUNCT
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cana-4274	489	24	.	.	PUNCT
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cana-4274	490	2	:	:	PUNCT
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cana-4274	491	1	[	[	X
cana-4274	491	2	online	online	X
cana-4274	491	3	]	]	X
cana-4274	491	4	.	.	PUNCT
cana-4274	492	1	available	available	ADJ
cana-4274	492	2	:	:	PUNCT
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cana-4274	492	4	[	[	X
cana-4274	492	5	4	4	X
cana-4274	492	6	]	]	X
cana-4274	492	7	s.	s.	PROPN
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cana-4274	492	13	and	and	CCONJ
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cana-4274	492	17	“	"	PUNCT
cana-4274	492	18	multi	multi	ADJ
cana-4274	492	19	-	-	ADJ
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cana-4274	492	22	recognition	recognition	NOUN
cana-4274	492	23	on	on	ADP
cana-4274	492	24	iemocap	iemocap	ADJ
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cana-4274	492	30	”	"	PUNCT
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cana-4274	492	36	,	,	PUNCT
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cana-4274	492	38	:	:	PUNCT
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cana-4274	492	40	.	.	PUNCT
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cana-4274	494	1	[	[	X
cana-4274	494	2	online	online	X
cana-4274	494	3	]	]	X
cana-4274	494	4	.	.	PUNCT
cana-4274	495	1	available	available	ADJ
cana-4274	495	2	:	:	PUNCT
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cana-4274	496	4	]	]	PUNCT
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cana-4274	496	12	“	"	PUNCT
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cana-4274	496	22	1d	1d	NUM
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cana-4274	496	26	,	,	PUNCT
cana-4274	496	27	”	"	PUNCT
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cana-4274	496	31	,	,	PUNCT
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cana-4274	496	37	,	,	PUNCT
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cana-4274	496	39	.	.	PUNCT
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cana-4274	497	2	.	.	PUNCT
cana-4274	498	1	doi	doi	NOUN
cana-4274	498	2	:	:	PUNCT
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cana-4274	499	1	[	[	X
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cana-4274	499	38	,	,	PUNCT
cana-4274	499	39	”	"	PUNCT
cana-4274	499	40	sensors	sensor	NOUN
cana-4274	499	41	,	,	PUNCT
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cana-4274	499	56	,	,	PUNCT
cana-4274	499	57	doi	doi	NOUN
cana-4274	499	58	:	:	PUNCT
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cana-4274	500	2	7	7	X
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cana-4274	500	4	j.	j.	PROPN
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cana-4274	500	22	a.	a.	PROPN
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cana-4274	500	33	for	for	ADP
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cana-4274	500	35	-	-	PUNCT
cana-4274	500	36	video	video	NOUN
cana-4274	500	37	emotion	emotion	NOUN
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cana-4274	500	40	”	"	PUNCT
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cana-4274	500	44	,	,	PUNCT
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cana-4274	500	46	,	,	PUNCT
cana-4274	500	47	arxiv	arxiv	NOUN
cana-4274	500	48	:	:	PUNCT
cana-4274	500	49	arxiv:1907.03196	arxiv:1907.03196	NOUN
cana-4274	500	50	.	.	PUNCT
cana-4274	501	1	accessed	access	VERB
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cana-4274	502	1	[	[	X
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cana-4274	505	1	[	[	X
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cana-4274	505	4	.	.	PUNCT
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cana-4274	507	1	[	[	X
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cana-4274	507	39	,	,	PUNCT
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cana-4274	507	41	:	:	PUNCT
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cana-4274	507	43	.	.	PUNCT
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cana-4274	509	1	[	[	X
cana-4274	509	2	online	online	X
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cana-4274	509	4	.	.	PUNCT
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cana-4274	510	2	:	:	PUNCT
cana-4274	510	3	http://arxiv.org/abs/1909.05645	http://arxiv.org/abs/1909.05645	ADJ
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cana-4274	510	5	on	on	ADP
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cana-4274	512	2	(	(	PUNCT
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cana-4274	513	1	[	[	X
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cana-4274	513	3	]	]	X
cana-4274	513	4	s.	s.	PROPN
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cana-4274	513	33	,	,	PUNCT
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cana-4274	513	37	.	.	PUNCT
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cana-4274	515	1	[	[	X
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cana-4274	515	4	.	.	PUNCT
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cana-4274	516	2	:	:	PUNCT
cana-4274	517	1	http://arxiv.org/abs/1804.05788	http://arxiv.org/abs/1804.05788	ADJ
cana-4274	517	2	[	[	X
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cana-4274	519	1	[	[	X
cana-4274	519	2	12	12	NUM
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cana-4274	520	2	,	,	PUNCT
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cana-4274	522	4	.	.	PUNCT
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cana-4274	525	2	.	.	PUNCT
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cana-4274	527	1	[	[	X
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cana-4274	530	3	“	"	PUNCT
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cana-4274	530	9	of	of	ADP
cana-4274	530	10	multimodal	multimodal	NOUN
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cana-4274	530	12	learning	learning	NOUN
cana-4274	530	13	models	model	NOUN
cana-4274	530	14	for	for	ADP
cana-4274	530	15	multimodal	multimodal	ADJ
cana-4274	530	16	emotion	emotion	NOUN
cana-4274	530	17	recognition	recognition	NOUN
cana-4274	530	18	,	,	PUNCT
cana-4274	530	19	”	"	PUNCT
cana-4274	530	20	ieee	ieee	NOUN
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cana-4274	530	22	.	.	PROPN
cana-4274	531	1	cogn	cogn	PROPN
cana-4274	531	2	.	.	PUNCT
cana-4274	532	1	dev	dev	PROPN
cana-4274	532	2	.	.	PUNCT
cana-4274	533	1	syst	syst	PROPN
cana-4274	533	2	.	.	PUNCT
cana-4274	533	3	,	,	PUNCT
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cana-4274	534	2	,	,	PUNCT
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cana-4274	534	4	.	.	NOUN
cana-4274	534	5	2	2	NUM
cana-4274	534	6	,	,	PUNCT
cana-4274	534	7	pp	pp	ADJ
cana-4274	534	8	.	.	PUNCT
cana-4274	535	1	715–729	715–729	NUM
cana-4274	535	2	,	,	PUNCT
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cana-4274	535	6	,	,	PUNCT
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cana-4274	535	8	:	:	PUNCT
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cana-4274	535	10	/	/	SYM
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cana-4274	535	12	.	.	PUNCT
cana-4274	536	1	[	[	X
cana-4274	536	2	16	16	NUM
cana-4274	536	3	]	]	X
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cana-4274	536	6	,	,	PUNCT
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cana-4274	536	10	and	and	CCONJ
cana-4274	536	11	s.	s.	PROPN
cana-4274	536	12	caglar	caglar	PROPN
cana-4274	536	13	-	-	PUNCT
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cana-4274	536	16	“	"	PUNCT
cana-4274	536	17	cross	cross	ADJ
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cana-4274	536	19	subject	subject	ADJ
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cana-4274	536	21	emotion	emotion	NOUN
cana-4274	536	22	recognition	recognition	NOUN
cana-4274	536	23	based	base	VERB
cana-4274	536	24	on	on	ADP
cana-4274	536	25	hybrid	hybrid	ADJ
cana-4274	536	26	fusion	fusion	NOUN
cana-4274	536	27	,	,	PUNCT
cana-4274	536	28	”	"	PUNCT
cana-4274	536	29	ieee	ieee	NOUN
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cana-4274	536	31	,	,	PUNCT
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cana-4274	536	37	.	.	PUNCT
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cana-4274	537	2	,	,	PUNCT
cana-4274	537	3	2020	2020	NUM
cana-4274	537	4	,	,	PUNCT
cana-4274	537	5	doi	doi	NOUN
cana-4274	537	6	:	:	PUNCT
cana-4274	537	7	10.1109	10.1109	NUM
cana-4274	537	8	/	/	SYM
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cana-4274	537	10	.	.	PUNCT
cana-4274	538	1	[	[	X
cana-4274	538	2	17	17	NUM
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cana-4274	538	10	and	and	CCONJ
cana-4274	538	11	y.	y.	PROPN
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cana-4274	538	13	,	,	PUNCT
cana-4274	538	14	“	"	PUNCT
cana-4274	538	15	multimodal	multimodal	ADJ
cana-4274	538	16	emotion	emotion	NOUN
cana-4274	538	17	recognition	recognition	NOUN
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cana-4274	538	19	a	a	DET
cana-4274	538	20	hierarchical	hierarchical	ADJ
cana-4274	538	21	fusion	fusion	NOUN
cana-4274	538	22	convolutional	convolutional	ADJ
cana-4274	538	23	neural	neural	ADJ
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cana-4274	538	25	,	,	PUNCT
cana-4274	538	26	”	"	PUNCT
cana-4274	538	27	ieee	ieee	NOUN
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cana-4274	538	29	,	,	PUNCT
cana-4274	538	30	vol	vol	NOUN
cana-4274	538	31	.	.	NOUN
cana-4274	538	32	9	9	NUM
cana-4274	538	33	,	,	PUNCT
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cana-4274	538	35	.	.	PUNCT
cana-4274	539	1	7943–7951	7943–7951	NUM
cana-4274	539	2	,	,	PUNCT
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cana-4274	539	4	,	,	PUNCT
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cana-4274	539	6	:	:	PUNCT
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cana-4274	539	8	/	/	SYM
cana-4274	539	9	access.2021.3049516	access.2021.3049516	NUM
cana-4274	539	10	.	.	PUNCT
cana-4274	540	1	[	[	X
cana-4274	540	2	18	18	NUM
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cana-4274	540	29	,	,	PUNCT
cana-4274	540	30	”	"	PUNCT
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cana-4274	540	39	.	.	PUNCT
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cana-4274	540	41	,	,	PUNCT
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cana-4274	540	43	,	,	PUNCT
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cana-4274	540	45	:	:	PUNCT
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cana-4274	540	47	/	/	SYM
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cana-4274	540	49	.	.	PUNCT
cana-4274	541	1	[	[	X
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cana-4274	541	31	,	,	PUNCT
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cana-4274	541	35	,	,	PUNCT
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cana-4274	541	37	.	.	PUNCT
cana-4274	542	1	94557–94572	94557–94572	NUM
cana-4274	542	2	,	,	PUNCT
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cana-4274	542	4	,	,	PUNCT
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cana-4274	542	8	/	/	SYM
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cana-4274	543	39	,	,	PUNCT
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cana-4274	543	41	:	:	PUNCT
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cana-4274	546	2	:	:	PUNCT
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cana-4274	547	46	,	,	PUNCT
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cana-4274	547	48	:	:	PUNCT
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cana-4274	547	59	:	:	PUNCT
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cana-4274	548	2	(	(	PUNCT
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cana-4274	548	4	)	)	PUNCT
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cana-4274	549	4	x.	x.	NOUN
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cana-4274	549	10	“	"	PUNCT
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cana-4274	549	18	a	a	DET
cana-4274	549	19	regularized	regularize	VERB
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cana-4274	549	21	fusion	fusion	NOUN
cana-4274	549	22	of	of	ADP
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cana-4274	549	26	”	"	PUNCT
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cana-4274	549	28	trans	tran	NOUN
cana-4274	549	29	.	.	PUNCT
cana-4274	550	1	cybern	cybern	PROPN
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cana-4274	551	8	.	.	PUNCT
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cana-4274	551	11	4399	4399	NUM
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cana-4274	551	17	doi	doi	NOUN
cana-4274	551	18	:	:	PUNCT
cana-4274	551	19	10.1109	10.1109	NUM
cana-4274	551	20	/	/	SYM
cana-4274	551	21	tcyb.2020.2987575	tcyb.2020.2987575	ADJ
cana-4274	551	22	.	.	PUNCT
cana-4274	552	1	[	[	X
cana-4274	552	2	23	23	NUM
cana-4274	552	3	]	]	PUNCT
cana-4274	552	4	s.	s.	PROPN
cana-4274	552	5	chen	chen	PROPN
cana-4274	552	6	,	,	PUNCT
cana-4274	552	7	j.	j.	PROPN
cana-4274	552	8	tang	tang	PROPN
cana-4274	552	9	,	,	PUNCT
cana-4274	552	10	l.	l.	PROPN
cana-4274	552	11	zhu	zhu	PROPN
cana-4274	552	12	,	,	PUNCT
cana-4274	552	13	and	and	CCONJ
cana-4274	552	14	w.	w.	PROPN
cana-4274	552	15	kong	kong	PROPN
cana-4274	552	16	,	,	PUNCT
cana-4274	552	17	“	"	PUNCT
cana-4274	552	18	a	a	DET
cana-4274	552	19	multi	multi	ADJ
cana-4274	552	20	-	-	ADJ
cana-4274	552	21	stage	stage	ADJ
cana-4274	552	22	dynamical	dynamical	ADJ
cana-4274	552	23	fusion	fusion	NOUN
cana-4274	552	24	network	network	NOUN
cana-4274	552	25	for	for	ADP
cana-4274	552	26	multimodal	multimodal	NOUN
cana-4274	552	27	emotion	emotion	NOUN
cana-4274	552	28	recognition	recognition	NOUN
cana-4274	552	29	,	,	PUNCT
cana-4274	552	30	”	"	PUNCT
cana-4274	552	31	cogn	cogn	VERB
cana-4274	552	32	neurodyn	neurodyn	NOUN
cana-4274	552	33	,	,	PUNCT
cana-4274	552	34	vol	vol	NOUN
cana-4274	552	35	.	.	PROPN
cana-4274	552	36	17	17	NUM
cana-4274	552	37	,	,	PUNCT
cana-4274	552	38	no	no	INTJ
cana-4274	552	39	.	.	NOUN
cana-4274	552	40	3	3	NUM
cana-4274	552	41	,	,	PUNCT
cana-4274	552	42	pp	pp	ADJ
cana-4274	552	43	.	.	PUNCT
cana-4274	553	1	671–680	671–680	NUM
cana-4274	553	2	,	,	PUNCT
cana-4274	553	3	jun	jun	PROPN
cana-4274	553	4	.	.	PROPN
cana-4274	553	5	2023	2023	NUM
cana-4274	553	6	,	,	PUNCT
cana-4274	553	7	doi	doi	NOUN
cana-4274	553	8	:	:	PUNCT
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cana-4274	553	10	/	/	SYM
cana-4274	553	11	s11571	s11571	NOUN
cana-4274	553	12	-	-	PUNCT
cana-4274	553	13	022	022	NUM
cana-4274	553	14	-	-	PUNCT
cana-4274	553	15	09851	09851	NUM
cana-4274	553	16	-	-	PUNCT
cana-4274	553	17	w.	w.	NOUN
cana-4274	554	1	[	[	X
cana-4274	554	2	24	24	NUM
cana-4274	554	3	]	]	PUNCT
cana-4274	554	4	x.	x.	PROPN
cana-4274	554	5	liu	liu	PROPN
cana-4274	554	6	,	,	PUNCT
cana-4274	554	7	z.	z.	PROPN
cana-4274	554	8	xu	xu	PROPN
cana-4274	554	9	,	,	PUNCT
cana-4274	554	10	and	and	CCONJ
cana-4274	554	11	k.	k.	PROPN
cana-4274	554	12	huang	huang	PROPN
cana-4274	554	13	,	,	PUNCT
cana-4274	554	14	“	"	PUNCT
cana-4274	554	15	multimodal	multimodal	ADJ
cana-4274	554	16	emotion	emotion	NOUN
cana-4274	554	17	recognition	recognition	NOUN
cana-4274	554	18	based	base	VERB
cana-4274	554	19	on	on	ADP
cana-4274	554	20	cascaded	cascade	VERB
cana-4274	554	21	multichannel	multichannel	NOUN
cana-4274	554	22	and	and	CCONJ
cana-4274	554	23	hierarchical	hierarchical	ADJ
cana-4274	554	24	fusion	fusion	NOUN
cana-4274	554	25	,	,	PUNCT
cana-4274	554	26	”	"	PUNCT
cana-4274	554	27	computational	computational	ADJ
cana-4274	554	28	intelligence	intelligence	NOUN
cana-4274	554	29	and	and	CCONJ
cana-4274	554	30	neuroscience	neuroscience	NOUN
cana-4274	554	31	,	,	PUNCT
cana-4274	554	32	vol	vol	NOUN
cana-4274	554	33	.	.	PUNCT
cana-4274	554	34	2023	2023	NUM
cana-4274	554	35	,	,	PUNCT
cana-4274	554	36	pp	pp	ADJ
cana-4274	554	37	.	.	PUNCT
cana-4274	555	1	1–18	1–18	NUM
cana-4274	555	2	,	,	PUNCT
cana-4274	555	3	jan	jan	PROPN
cana-4274	555	4	.	.	PROPN
cana-4274	555	5	2023	2023	NUM
cana-4274	555	6	,	,	PUNCT
cana-4274	555	7	doi	doi	NOUN
cana-4274	555	8	:	:	PUNCT
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cana-4274	555	10	.	.	PUNCT
cana-4274	556	1	[	[	X
cana-4274	556	2	25	25	NUM
cana-4274	556	3	]	]	X
cana-4274	556	4	f.	f.	PROPN
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cana-4274	556	6	and	and	CCONJ
cana-4274	556	7	f.	f.	PROPN
cana-4274	556	8	kiraç	kiraç	PROPN
cana-4274	556	9	,	,	PUNCT
cana-4274	556	10	“	"	PUNCT
cana-4274	556	11	fashioncapsnet	fashioncapsnet	NOUN
cana-4274	556	12	:	:	PUNCT
cana-4274	556	13	clothing	clothe	VERB
cana-4274	556	14	classification	classification	NOUN
cana-4274	556	15	with	with	ADP
cana-4274	556	16	capsule	capsule	NOUN
cana-4274	556	17	networks	network	NOUN
cana-4274	556	18	,	,	PUNCT
cana-4274	556	19	”	"	PUNCT
cana-4274	556	20	bilişim	bilişim	PROPN
cana-4274	556	21	teknolojileri	teknolojileri	PROPN
cana-4274	556	22	dergisi	dergisi	PROPN
cana-4274	556	23	,	,	PUNCT
cana-4274	556	24	vol	vol	NOUN
cana-4274	556	25	.	.	PROPN
cana-4274	556	26	13	13	NUM
cana-4274	556	27	,	,	PUNCT
cana-4274	556	28	no	no	INTJ
cana-4274	556	29	.	.	NOUN
cana-4274	556	30	1	1	NUM
cana-4274	556	31	,	,	PUNCT
cana-4274	556	32	pp	pp	ADJ
cana-4274	556	33	.	.	PUNCT
cana-4274	556	34	87–96	87–96	NUM
cana-4274	556	35	,	,	PUNCT
cana-4274	556	36	jan	jan	PROPN
cana-4274	556	37	.	.	PROPN
cana-4274	556	38	2020	2020	NUM
cana-4274	556	39	,	,	PUNCT
cana-4274	556	40	doi	doi	NOUN
cana-4274	556	41	:	:	PUNCT
cana-4274	556	42	10.17671	10.17671	NUM
cana-4274	556	43	/	/	SYM
cana-4274	556	44	gazibtd.580222	gazibtd.580222	NOUN
cana-4274	556	45	.	.	PUNCT
cana-4274	557	1	[	[	X
cana-4274	557	2	26	26	NUM
cana-4274	557	3	]	]	PUNCT
cana-4274	557	4	a.	a.	NOUN
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cana-4274	557	6	and	and	CCONJ
cana-4274	557	7	f.	f.	PROPN
cana-4274	557	8	kiani	kiani	PROPN
cana-4274	557	9	,	,	PUNCT
cana-4274	557	10	“	"	PUNCT
cana-4274	557	11	sand	sand	NOUN
cana-4274	557	12	cat	cat	NOUN
cana-4274	557	13	swarm	swarm	NOUN
cana-4274	557	14	optimization	optimization	NOUN
cana-4274	557	15	:	:	PUNCT
cana-4274	557	16	a	a	DET
cana-4274	557	17	nature	nature	NOUN
cana-4274	557	18	-	-	PUNCT
cana-4274	557	19	inspired	inspire	VERB
cana-4274	557	20	algorithm	algorithm	NOUN
cana-4274	557	21	to	to	PART
cana-4274	557	22	solve	solve	VERB
cana-4274	557	23	global	global	ADJ
cana-4274	557	24	optimization	optimization	NOUN
cana-4274	557	25	problems	problem	NOUN
cana-4274	557	26	,	,	PUNCT
cana-4274	557	27	”	"	PUNCT
cana-4274	557	28	engineering	engineering	NOUN
cana-4274	557	29	with	with	ADP
cana-4274	557	30	computers	computer	NOUN
cana-4274	557	31	,	,	PUNCT
cana-4274	557	32	vol	vol	NOUN
cana-4274	557	33	.	.	PROPN
cana-4274	557	34	39	39	NUM
cana-4274	557	35	,	,	PUNCT
cana-4274	557	36	no	no	INTJ
cana-4274	557	37	.	.	NOUN
cana-4274	557	38	4	4	NUM
cana-4274	557	39	,	,	PUNCT
cana-4274	557	40	pp	pp	ADJ
cana-4274	557	41	.	.	PUNCT
cana-4274	558	1	2627–2651	2627–2651	NUM
cana-4274	558	2	,	,	PUNCT
cana-4274	558	3	aug	aug	PROPN
cana-4274	558	4	.	.	PROPN
cana-4274	558	5	2023	2023	NUM
cana-4274	558	6	,	,	PUNCT
cana-4274	558	7	doi	doi	NOUN
cana-4274	558	8	:	:	PUNCT
cana-4274	558	9	10.1007	10.1007	NUM
cana-4274	558	10	/	/	SYM
cana-4274	558	11	s00366	s00366	ADJ
cana-4274	558	12	-	-	PUNCT
cana-4274	558	13	022	022	NUM
cana-4274	558	14	-	-	PUNCT
cana-4274	558	15	01604	01604	NUM
cana-4274	558	16	-	-	PUNCT
cana-4274	558	17	x.	x.	NOUN
cana-4274	559	1	[	[	X
cana-4274	559	2	27	27	NUM
cana-4274	559	3	]	]	X
cana-4274	559	4	“	"	PUNCT
cana-4274	559	5	multimodal	multimodal	ADJ
cana-4274	559	6	emotionlines	emotionline	NOUN
cana-4274	559	7	dataset(meld	dataset(meld	VERB
cana-4274	559	8	)	)	PUNCT
cana-4274	559	9	.	.	PUNCT
cana-4274	559	10	”	"	PUNCT
cana-4274	559	11	accessed	access	VERB
cana-4274	559	12	:	:	PUNCT
cana-4274	559	13	jul	jul	PROPN
cana-4274	559	14	.	.	PROPN
cana-4274	559	15	16	16	NUM
cana-4274	559	16	,	,	PUNCT
cana-4274	559	17	2024	2024	NUM
cana-4274	559	18	.	.	PUNCT
cana-4274	560	1	[	[	X
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cana-4274	560	3	]	]	X
cana-4274	560	4	.	.	PUNCT
cana-4274	561	1	available	available	ADJ
cana-4274	561	2	:	:	PUNCT
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cana-4274	561	4	author	author	PROPN
cana-4274	561	5	’s	’s	PART
cana-4274	561	6	profile	profile	NOUN
cana-4274	561	7	:	:	PUNCT
cana-4274	561	8	sanjeeva	sanjeeva	PROPN
cana-4274	561	9	rao	rao	PROPN
cana-4274	561	10	sanku1	sanku1	PROPN
cana-4274	561	11	:	:	PUNCT
cana-4274	561	12	is	be	AUX
cana-4274	561	13	pursuing	pursue	VERB
cana-4274	561	14	ph.d	ph.d	PROPN
cana-4274	561	15	in	in	ADP
cana-4274	561	16	computer	computer	NOUN
cana-4274	561	17	science	science	NOUN
cana-4274	561	18	and	and	CCONJ
cana-4274	561	19	engineering	engineering	NOUN
cana-4274	561	20	from	from	ADP
cana-4274	561	21	osmania	osmania	PROPN
cana-4274	561	22	university	university	PROPN
cana-4274	561	23	,	,	PUNCT
cana-4274	561	24	hyderabad	hyderabad	PROPN
cana-4274	561	25	.	.	PUNCT
cana-4274	562	1	he	he	PRON
cana-4274	562	2	completed	complete	VERB
cana-4274	562	3	his	his	PRON
cana-4274	562	4	m.tech	m.tech	NOUN
cana-4274	562	5	and	and	CCONJ
cana-4274	562	6	b.tech	b.tech	NOUN
cana-4274	562	7	in	in	ADP
cana-4274	562	8	cse	cse	PROPN
cana-4274	562	9	from	from	ADP
cana-4274	562	10	jntu	jntu	PROPN
cana-4274	562	11	hyderabad	hyderabad	PROPN
cana-4274	562	12	university	university	PROPN
cana-4274	562	13	.	.	PUNCT
cana-4274	563	1	his	his	PRON
cana-4274	563	2	research	research	NOUN
cana-4274	563	3	areas	area	NOUN
cana-4274	563	4	include	include	VERB
cana-4274	563	5	data	datum	NOUN
cana-4274	563	6	mining	mining	NOUN
cana-4274	563	7	,	,	PUNCT
cana-4274	563	8	machine	machine	NOUN
cana-4274	563	9	learning	learning	NOUN
cana-4274	563	10	and	and	CCONJ
cana-4274	563	11	deep	deep	ADJ
cana-4274	563	12	learning	learning	NOUN
cana-4274	563	13	.	.	PUNCT
cana-4274	564	1	he	he	PRON
cana-4274	564	2	has	have	VERB
cana-4274	564	3	17	17	NUM
cana-4274	564	4	+	+	NUM
cana-4274	564	5	years	year	NOUN
cana-4274	564	6	of	of	ADP
cana-4274	564	7	teaching	teaching	NOUN
cana-4274	564	8	and	and	CCONJ
cana-4274	564	9	research	research	NOUN
cana-4274	564	10	experience	experience	NOUN
cana-4274	564	11	.	.	PUNCT
cana-4274	565	1	b.sandhya2	b.sandhya2	NOUN
cana-4274	565	2	:	:	PUNCT
cana-4274	565	3	was	be	AUX
cana-4274	565	4	awarded	award	VERB
cana-4274	565	5	ph.d	ph.d	PROPN
cana-4274	565	6	in	in	ADP
cana-4274	565	7	computer	computer	NOUN
cana-4274	565	8	science	science	NOUN
cana-4274	565	9	from	from	ADP
cana-4274	565	10	university	university	PROPN
cana-4274	565	11	of	of	ADP
cana-4274	565	12	hyderabad	hyderabad	PROPN
cana-4274	565	13	in	in	ADP
cana-4274	565	14	the	the	DET
cana-4274	565	15	year	year	NOUN
cana-4274	565	16	2011	2011	NUM
cana-4274	565	17	.	.	PUNCT
cana-4274	566	1	she	she	PRON
cana-4274	566	2	is	be	AUX
cana-4274	566	3	currently	currently	ADV
cana-4274	566	4	working	work	VERB
cana-4274	566	5	as	as	ADP
cana-4274	566	6	professor	professor	NOUN
cana-4274	566	7	in	in	ADP
cana-4274	566	8	cse	cse	PROPN
cana-4274	566	9	department	department	PROPN
cana-4274	566	10	in	in	ADP
cana-4274	566	11	mvsr	mvsr	NOUN
cana-4274	566	12	engineering	engineering	PROPN
cana-4274	566	13	college	college	PROPN
cana-4274	566	14	,	,	PUNCT
cana-4274	566	15	hyderabad	hyderabad	PROPN
cana-4274	566	16	.	.	PUNCT
cana-4274	567	1	she	she	PRON
cana-4274	567	2	has	have	VERB
cana-4274	567	3	22	22	NUM
cana-4274	567	4	+	+	NUM
cana-4274	567	5	years	year	NOUN
cana-4274	567	6	of	of	ADP
cana-4274	567	7	teaching	teaching	NOUN
cana-4274	567	8	,	,	PUNCT
cana-4274	567	9	research	research	NOUN
cana-4274	567	10	and	and	CCONJ
cana-4274	567	11	consultancey	consultancey	NOUN
cana-4274	567	12	experience	experience	NOUN
cana-4274	567	13	.	.	PUNCT
cana-4274	568	1	her	her	PRON
cana-4274	568	2	principal	principal	ADJ
cana-4274	568	3	areas	area	NOUN
cana-4274	568	4	of	of	ADP
cana-4274	568	5	research	research	NOUN
cana-4274	568	6	include	include	VERB
cana-4274	568	7	image	image	NOUN
cana-4274	568	8	processing	processing	NOUN
cana-4274	568	9	,	,	PUNCT
cana-4274	568	10	machine	machine	NOUN
cana-4274	568	11	learning	learning	NOUN
cana-4274	568	12	,	,	PUNCT
cana-4274	568	13	deep	deep	ADJ
cana-4274	568	14	learning	learning	NOUN
cana-4274	568	15	and	and	CCONJ
cana-4274	568	16	computer	computer	NOUN
cana-4274	568	17	vision	vision	NOUN
cana-4274	568	18	.	.	PUNCT
cana-4274	569	1	she	she	PRON
cana-4274	569	2	has	have	AUX
cana-4274	569	3	authored	author	VERB
cana-4274	569	4	/	/	SYM
cana-4274	569	5	co	co	VERB
cana-4274	569	6	-	-	VERB
cana-4274	569	7	authored	author	VERB
cana-4274	569	8	around	around	ADP
cana-4274	569	9	40	40	NUM
cana-4274	569	10	research	research	NOUN
cana-4274	569	11	publications	publication	NOUN
cana-4274	569	12	in	in	ADP
cana-4274	569	13	international	international	ADJ
cana-4274	569	14	conferences	conference	NOUN
cana-4274	569	15	and	and	CCONJ
cana-4274	569	16	journals	journal	NOUN
cana-4274	569	17	,	,	PUNCT
cana-4274	569	18	with	with	ADP
cana-4274	569	19	total	total	ADJ
cana-4274	569	20	citations	citation	NOUN
cana-4274	569	21	of	of	ADP
cana-4274	569	22	about	about	ADP
cana-4274	569	23	170	170	NUM
cana-4274	569	24	.	.	PUNCT