id	sid	tid	token	lemma	pos
cana-2147	1	1	cicids-2017	cicids-2017	ADP
cana-2147	1	2	dataset	dataset	ADJ
cana-2147	1	3	feature	feature	NOUN
cana-2147	1	4	analysis	analysis	NOUN
cana-2147	1	5	with	with	ADP
cana-2147	1	6	information	information	NOUN
cana-2147	1	7	gain	gain	NOUN
cana-2147	1	8	for	for	ADP
cana-2147	1	9	anomaly	anomaly	NOUN
cana-2147	1	10	detection	detection	NOUN
cana-2147	1	11	communications	communication	NOUN
cana-2147	1	12	on	on	ADP
cana-2147	1	13	applied	apply	VERB
cana-2147	1	14	nonlinear	nonlinear	ADJ
cana-2147	1	15	analysis	analysis	NOUN
cana-2147	1	16	issn	issn	NOUN
cana-2147	1	17	:	:	PUNCT
cana-2147	1	18	1074	1074	NUM
cana-2147	1	19	-	-	PUNCT
cana-2147	1	20	133x	133x	NUM
cana-2147	1	21	vol	vol	NOUN
cana-2147	1	22	32	32	NUM
cana-2147	1	23	no	no	NOUN
cana-2147	1	24	.	.	PUNCT
cana-2147	2	1	1s	1s	NUM
cana-2147	2	2	(	(	PUNCT
cana-2147	2	3	2025	2025	NUM
cana-2147	2	4	)	)	PUNCT
cana-2147	2	5	182	182	NUM
cana-2147	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2147	2	7	integrating	integrate	VERB
cana-2147	2	8	diverse	diverse	ADJ
cana-2147	2	9	data	datum	NOUN
cana-2147	2	10	streams	stream	NOUN
cana-2147	2	11	for	for	ADP
cana-2147	2	12	enhanced	enhanced	ADJ
cana-2147	2	13	emotional	emotional	ADJ
cana-2147	2	14	intelligence	intelligence	NOUN
cana-2147	2	15	in	in	ADP
cana-2147	2	16	mental	mental	ADJ
cana-2147	2	17	health	health	NOUN
cana-2147	2	18	care	care	NOUN
cana-2147	2	19	asha	asha	PROPN
cana-2147	2	20	priyadarshini.m1	priyadarshini.m1	PROPN
cana-2147	2	21	,	,	PUNCT
cana-2147	2	22	dr	dr	PROPN
cana-2147	2	23	.	.	PROPN
cana-2147	2	24	a.	a.	PROPN
cana-2147	2	25	krishna	krishna	PROPN
cana-2147	2	26	mohan2	mohan2	NOUN
cana-2147	3	1	1research	1research	NUM
cana-2147	3	2	scholar	scholar	NOUN
cana-2147	3	3	,	,	PUNCT
cana-2147	3	4	jntuk	jntuk	PROPN
cana-2147	3	5	,	,	PUNCT
cana-2147	3	6	kakinada	kakinada	PROPN
cana-2147	3	7	.	.	PUNCT
cana-2147	4	1	2professor	2professor	NUM
cana-2147	4	2	,	,	PUNCT
cana-2147	4	3	dept	dept	NOUN
cana-2147	4	4	.	.	PROPN
cana-2147	4	5	of	of	ADP
cana-2147	4	6	cse	cse	PROPN
cana-2147	4	7	,	,	PUNCT
cana-2147	4	8	university	university	NOUN
cana-2147	4	9	college	college	NOUN
cana-2147	4	10	of	of	ADP
cana-2147	4	11	engineering	engineering	PROPN
cana-2147	4	12	kakinada	kakinada	PROPN
cana-2147	4	13	,	,	PUNCT
cana-2147	4	14	jntuk	jntuk	PROPN
cana-2147	4	15	,	,	PUNCT
cana-2147	4	16	kakinada	kakinada	PROPN
cana-2147	4	17	,	,	PUNCT
cana-2147	4	18	ap	ap	PROPN
cana-2147	4	19	,	,	PUNCT
cana-2147	4	20	india	india	PROPN
cana-2147	4	21	.	.	PUNCT
cana-2147	5	1	ashapriyadarshini16@gmail.com	ashapriyadarshini16@gmail.com	X
cana-2147	5	2	article	article	NOUN
cana-2147	5	3	history	history	NOUN
cana-2147	5	4	:	:	PUNCT
cana-2147	5	5	received	receive	VERB
cana-2147	5	6	:	:	PUNCT
cana-2147	5	7	11	11	NUM
cana-2147	5	8	-	-	SYM
cana-2147	5	9	08	08	NUM
cana-2147	5	10	-	-	PUNCT
cana-2147	5	11	2024	2024	NUM
cana-2147	5	12	revised	revise	VERB
cana-2147	5	13	:	:	PUNCT
cana-2147	5	14	26	26	NUM
cana-2147	5	15	-	-	SYM
cana-2147	5	16	09	09	NUM
cana-2147	5	17	-	-	PUNCT
cana-2147	5	18	2024	2024	NUM
cana-2147	5	19	accepted	accept	VERB
cana-2147	5	20	:	:	PUNCT
cana-2147	5	21	13	13	NUM
cana-2147	5	22	-	-	SYM
cana-2147	5	23	10	10	NUM
cana-2147	5	24	-	-	PUNCT
cana-2147	5	25	2024	2024	NUM
cana-2147	5	26	abstract	abstract	NOUN
cana-2147	5	27	:	:	PUNCT
cana-2147	5	28	this	this	DET
cana-2147	5	29	research	research	NOUN
cana-2147	5	30	presents	present	VERB
cana-2147	5	31	a	a	DET
cana-2147	5	32	comprehensive	comprehensive	ADJ
cana-2147	5	33	system	system	NOUN
cana-2147	5	34	for	for	ADP
cana-2147	5	35	real	real	ADJ
cana-2147	5	36	-	-	PUNCT
cana-2147	5	37	time	time	NOUN
cana-2147	5	38	emotion	emotion	NOUN
cana-2147	5	39	recognition	recognition	NOUN
cana-2147	5	40	and	and	CCONJ
cana-2147	5	41	analysis	analysis	NOUN
cana-2147	5	42	using	use	VERB
cana-2147	5	43	multimodal	multimodal	ADJ
cana-2147	5	44	data	datum	NOUN
cana-2147	5	45	,	,	PUNCT
cana-2147	5	46	including	include	VERB
cana-2147	5	47	image	image	NOUN
cana-2147	5	48	,	,	PUNCT
cana-2147	5	49	video	video	NOUN
cana-2147	5	50	,	,	PUNCT
cana-2147	5	51	audio	audio	NOUN
cana-2147	5	52	,	,	PUNCT
cana-2147	5	53	and	and	CCONJ
cana-2147	5	54	text	text	NOUN
cana-2147	5	55	.	.	PUNCT
cana-2147	6	1	the	the	DET
cana-2147	6	2	system	system	NOUN
cana-2147	6	3	employs	employ	VERB
cana-2147	6	4	deep	deep	ADJ
cana-2147	6	5	learning	learning	NOUN
cana-2147	6	6	models	model	NOUN
cana-2147	6	7	to	to	PART
cana-2147	6	8	extract	extract	VERB
cana-2147	6	9	features	feature	NOUN
cana-2147	6	10	and	and	CCONJ
cana-2147	6	11	classify	classify	VERB
cana-2147	6	12	emotions	emotion	NOUN
cana-2147	6	13	from	from	ADP
cana-2147	6	14	each	each	DET
cana-2147	6	15	modality	modality	NOUN
cana-2147	6	16	.	.	PUNCT
cana-2147	7	1	by	by	ADP
cana-2147	7	2	integrating	integrate	VERB
cana-2147	7	3	these	these	DET
cana-2147	7	4	predictions	prediction	NOUN
cana-2147	7	5	,	,	PUNCT
cana-2147	7	6	we	we	PRON
cana-2147	7	7	aim	aim	VERB
cana-2147	7	8	to	to	PART
cana-2147	7	9	provide	provide	VERB
cana-2147	7	10	a	a	DET
cana-2147	7	11	holistic	holistic	ADJ
cana-2147	7	12	understanding	understanding	NOUN
cana-2147	7	13	of	of	ADP
cana-2147	7	14	a	a	DET
cana-2147	7	15	user	user	NOUN
cana-2147	7	16	's	's	PART
cana-2147	7	17	emotional	emotional	ADJ
cana-2147	7	18	state	state	NOUN
cana-2147	7	19	and	and	CCONJ
cana-2147	7	20	assess	assess	VERB
cana-2147	7	21	potential	potential	ADJ
cana-2147	7	22	risks	risk	NOUN
cana-2147	7	23	.	.	PUNCT
cana-2147	8	1	the	the	DET
cana-2147	8	2	system	system	NOUN
cana-2147	8	3	further	far	ADV
cana-2147	8	4	analyzes	analyze	VERB
cana-2147	8	5	the	the	DET
cana-2147	8	6	collected	collect	VERB
cana-2147	8	7	emotion	emotion	NOUN
cana-2147	8	8	data	datum	NOUN
cana-2147	8	9	to	to	PART
cana-2147	8	10	identify	identify	VERB
cana-2147	8	11	trends	trend	NOUN
cana-2147	8	12	,	,	PUNCT
cana-2147	8	13	patterns	pattern	NOUN
cana-2147	8	14	,	,	PUNCT
cana-2147	8	15	and	and	CCONJ
cana-2147	8	16	indicators	indicator	NOUN
cana-2147	8	17	of	of	ADP
cana-2147	8	18	emotional	emotional	ADJ
cana-2147	8	19	wellbeing	wellbeing	NOUN
cana-2147	8	20	and	and	CCONJ
cana-2147	8	21	suicide	suicide	NOUN
cana-2147	8	22	risk	risk	NOUN
cana-2147	8	23	.	.	PUNCT
cana-2147	9	1	visualizations	visualization	NOUN
cana-2147	9	2	such	such	ADJ
cana-2147	9	3	as	as	ADP
cana-2147	9	4	time	time	NOUN
cana-2147	9	5	-	-	PUNCT
cana-2147	9	6	series	series	NOUN
cana-2147	9	7	plots	plot	NOUN
cana-2147	9	8	,	,	PUNCT
cana-2147	9	9	distribution	distribution	NOUN
cana-2147	9	10	charts	chart	NOUN
cana-2147	9	11	,	,	PUNCT
cana-2147	9	12	and	and	CCONJ
cana-2147	9	13	stacked	stack	VERB
cana-2147	9	14	area	area	NOUN
cana-2147	9	15	charts	chart	NOUN
cana-2147	9	16	are	be	AUX
cana-2147	9	17	employed	employ	VERB
cana-2147	9	18	to	to	PART
cana-2147	9	19	represent	represent	VERB
cana-2147	9	20	the	the	DET
cana-2147	9	21	emotional	emotional	ADJ
cana-2147	9	22	dynamics	dynamic	NOUN
cana-2147	9	23	over	over	ADP
cana-2147	9	24	time.based	time.base	VERB
cana-2147	9	25	on	on	ADP
cana-2147	9	26	the	the	DET
cana-2147	9	27	analysis	analysis	NOUN
cana-2147	9	28	;	;	PUNCT
cana-2147	9	29	the	the	DET
cana-2147	9	30	system	system	NOUN
cana-2147	9	31	generates	generate	VERB
cana-2147	9	32	personalized	personalized	ADJ
cana-2147	9	33	recommendations	recommendation	NOUN
cana-2147	9	34	and	and	CCONJ
cana-2147	9	35	alerts	alert	NOUN
cana-2147	9	36	for	for	ADP
cana-2147	9	37	users	user	NOUN
cana-2147	9	38	exhibiting	exhibit	VERB
cana-2147	9	39	signs	sign	NOUN
cana-2147	9	40	of	of	ADP
cana-2147	9	41	distress	distress	NOUN
cana-2147	9	42	or	or	CCONJ
cana-2147	9	43	emotional	emotional	ADJ
cana-2147	9	44	instability	instability	NOUN
cana-2147	9	45	,	,	PUNCT
cana-2147	9	46	including	include	VERB
cana-2147	9	47	potential	potential	ADJ
cana-2147	9	48	suicide	suicide	NOUN
cana-2147	9	49	risk	risk	NOUN
cana-2147	9	50	factors	factor	NOUN
cana-2147	9	51	.	.	PUNCT
cana-2147	10	1	the	the	DET
cana-2147	10	2	goal	goal	NOUN
cana-2147	10	3	is	be	AUX
cana-2147	10	4	to	to	PART
cana-2147	10	5	promote	promote	VERB
cana-2147	10	6	proactive	proactive	ADJ
cana-2147	10	7	well	well	ADV
cana-2147	10	8	-	-	PUNCT
cana-2147	10	9	being	be	AUX
cana-2147	10	10	management	management	NOUN
cana-2147	10	11	and	and	CCONJ
cana-2147	10	12	early	early	ADJ
cana-2147	10	13	intervention	intervention	NOUN
cana-2147	10	14	.	.	PUNCT
cana-2147	11	1	it	it	PRON
cana-2147	11	2	is	be	AUX
cana-2147	11	3	crucial	crucial	ADJ
cana-2147	11	4	to	to	PART
cana-2147	11	5	emphasize	emphasize	VERB
cana-2147	11	6	that	that	SCONJ
cana-2147	11	7	this	this	DET
cana-2147	11	8	system	system	NOUN
cana-2147	11	9	is	be	AUX
cana-2147	11	10	a	a	DET
cana-2147	11	11	tool	tool	NOUN
cana-2147	11	12	for	for	ADP
cana-2147	11	13	early	early	ADJ
cana-2147	11	14	detection	detection	NOUN
cana-2147	11	15	and	and	CCONJ
cana-2147	11	16	should	should	AUX
cana-2147	11	17	be	be	AUX
cana-2147	11	18	used	use	VERB
cana-2147	11	19	in	in	ADP
cana-2147	11	20	conjunction	conjunction	NOUN
cana-2147	11	21	with	with	ADP
cana-2147	11	22	professional	professional	ADJ
cana-2147	11	23	mental	mental	ADJ
cana-2147	11	24	health	health	NOUN
cana-2147	11	25	care	care	NOUN
cana-2147	11	26	.	.	PUNCT
cana-2147	12	1	keywords	keyword	NOUN
cana-2147	12	2	:	:	PUNCT
cana-2147	12	3	multimodal	multimodal	ADJ
cana-2147	12	4	emotion	emotion	NOUN
cana-2147	12	5	recognition	recognition	NOUN
cana-2147	12	6	,	,	PUNCT
cana-2147	12	7	convolutional	convolutional	ADJ
cana-2147	12	8	neural	neural	ADJ
cana-2147	12	9	networks	network	NOUN
cana-2147	12	10	,	,	PUNCT
cana-2147	12	11	recurrent	recurrent	ADJ
cana-2147	12	12	neural	neural	ADJ
cana-2147	12	13	networks	network	NOUN
cana-2147	12	14	,	,	PUNCT
cana-2147	12	15	facial	facial	ADJ
cana-2147	12	16	expression	expression	NOUN
cana-2147	12	17	analysis	analysis	NOUN
cana-2147	12	18	,	,	PUNCT
cana-2147	12	19	speech	speech	NOUN
cana-2147	12	20	emotion	emotion	NOUN
cana-2147	12	21	recognition	recognition	NOUN
cana-2147	12	22	,	,	PUNCT
cana-2147	12	23	well	well	ADV
cana-2147	12	24	-	-	PUNCT
cana-2147	12	25	being	being	NOUN
cana-2147	12	26	assessment	assessment	NOUN
cana-2147	12	27	,	,	PUNCT
cana-2147	12	28	suicide	suicide	NOUN
cana-2147	12	29	risk	risk	NOUN
cana-2147	12	30	prediction	prediction	NOUN
cana-2147	12	31	,	,	PUNCT
cana-2147	12	32	feature	feature	NOUN
cana-2147	12	33	extraction	extraction	NOUN
cana-2147	12	34	,	,	PUNCT
cana-2147	12	35	data	datum	NOUN
cana-2147	12	36	fusion	fusion	NOUN
cana-2147	12	37	,	,	PUNCT
cana-2147	12	38	natural	natural	ADJ
cana-2147	12	39	language	language	NOUN
cana-2147	12	40	processing	processing	NOUN
cana-2147	12	41	i.	i.	NOUN
cana-2147	12	42	introduction	introduction	PROPN
cana-2147	12	43	mental	mental	ADJ
cana-2147	12	44	health	health	NOUN
cana-2147	12	45	has	have	AUX
cana-2147	12	46	emerged	emerge	VERB
cana-2147	12	47	as	as	ADP
cana-2147	12	48	a	a	DET
cana-2147	12	49	critical	critical	ADJ
cana-2147	12	50	global	global	ADJ
cana-2147	12	51	concern	concern	NOUN
cana-2147	12	52	,	,	PUNCT
cana-2147	12	53	underscored	underscore	VERB
cana-2147	12	54	by	by	ADP
cana-2147	12	55	the	the	DET
cana-2147	12	56	increasing	increase	VERB
cana-2147	12	57	prevalence	prevalence	NOUN
cana-2147	12	58	of	of	ADP
cana-2147	12	59	emotional	emotional	ADJ
cana-2147	12	60	disorders	disorder	NOUN
cana-2147	12	61	and	and	CCONJ
cana-2147	12	62	the	the	DET
cana-2147	12	63	devastating	devastating	ADJ
cana-2147	12	64	impact	impact	NOUN
cana-2147	12	65	of	of	ADP
cana-2147	12	66	suicide	suicide	NOUN
cana-2147	12	67	.	.	PUNCT
cana-2147	13	1	traditional	traditional	ADJ
cana-2147	13	2	methods	method	NOUN
cana-2147	13	3	of	of	ADP
cana-2147	13	4	mental	mental	ADJ
cana-2147	13	5	health	health	NOUN
cana-2147	13	6	assessment	assessment	NOUN
cana-2147	13	7	often	often	ADV
cana-2147	13	8	rely	rely	VERB
cana-2147	13	9	on	on	ADP
cana-2147	13	10	subjective	subjective	ADJ
cana-2147	13	11	self	self	NOUN
cana-2147	13	12	-	-	PUNCT
cana-2147	13	13	reports	report	NOUN
cana-2147	13	14	,	,	PUNCT
cana-2147	13	15	which	which	PRON
cana-2147	13	16	can	can	AUX
cana-2147	13	17	be	be	AUX
cana-2147	13	18	prone	prone	ADJ
cana-2147	13	19	to	to	ADP
cana-2147	13	20	biases	bias	NOUN
cana-2147	13	21	and	and	CCONJ
cana-2147	13	22	inaccuracies	inaccuracy	NOUN
cana-2147	13	23	.	.	PUNCT
cana-2147	14	1	advancements	advancement	NOUN
cana-2147	14	2	in	in	ADP
cana-2147	14	3	artificial	artificial	ADJ
cana-2147	14	4	intelligence	intelligence	NOUN
cana-2147	14	5	and	and	CCONJ
cana-2147	14	6	computer	computer	NOUN
cana-2147	14	7	vision	vision	NOUN
cana-2147	14	8	have	have	AUX
cana-2147	14	9	opened	open	VERB
cana-2147	14	10	new	new	ADJ
cana-2147	14	11	avenues	avenue	NOUN
cana-2147	14	12	for	for	ADP
cana-2147	14	13	objective	objective	ADJ
cana-2147	14	14	and	and	CCONJ
cana-2147	14	15	continuous	continuous	ADJ
cana-2147	14	16	monitoring	monitoring	NOUN
cana-2147	14	17	of	of	ADP
cana-2147	14	18	emotional	emotional	ADJ
cana-2147	14	19	states	state	NOUN
cana-2147	14	20	.	.	PUNCT
cana-2147	15	1	this	this	DET
cana-2147	15	2	research	research	NOUN
cana-2147	15	3	aims	aim	VERB
cana-2147	15	4	to	to	PART
cana-2147	15	5	develop	develop	VERB
cana-2147	15	6	an	an	DET
cana-2147	15	7	innovative	innovative	ADJ
cana-2147	15	8	system	system	NOUN
cana-2147	15	9	for	for	ADP
cana-2147	15	10	real	real	ADJ
cana-2147	15	11	-	-	PUNCT
cana-2147	15	12	time	time	NOUN
cana-2147	15	13	emotion	emotion	NOUN
cana-2147	15	14	recognition	recognition	NOUN
cana-2147	15	15	and	and	CCONJ
cana-2147	15	16	analysis	analysis	NOUN
cana-2147	15	17	using	use	VERB
cana-2147	15	18	multimodal	multimodal	ADJ
cana-2147	15	19	data	datum	NOUN
cana-2147	15	20	,	,	PUNCT
cana-2147	15	21	including	include	VERB
cana-2147	15	22	image	image	NOUN
cana-2147	15	23	,	,	PUNCT
cana-2147	15	24	video	video	NOUN
cana-2147	15	25	,	,	PUNCT
cana-2147	15	26	audio	audio	NOUN
cana-2147	15	27	,	,	PUNCT
cana-2147	15	28	and	and	CCONJ
cana-2147	15	29	text	text	NOUN
cana-2147	15	30	.	.	PUNCT
cana-2147	16	1	by	by	ADP
cana-2147	16	2	leveraging	leverage	VERB
cana-2147	16	3	the	the	DET
cana-2147	16	4	power	power	NOUN
cana-2147	16	5	of	of	ADP
cana-2147	16	6	deep	deep	ADJ
cana-2147	16	7	learning	learning	NOUN
cana-2147	16	8	,	,	PUNCT
cana-2147	16	9	the	the	DET
cana-2147	16	10	system	system	NOUN
cana-2147	16	11	seeks	seek	VERB
cana-2147	16	12	to	to	PART
cana-2147	16	13	extract	extract	VERB
cana-2147	16	14	meaningful	meaningful	ADJ
cana-2147	16	15	insights	insight	NOUN
cana-2147	16	16	from	from	ADP
cana-2147	16	17	these	these	DET
cana-2147	16	18	diverse	diverse	ADJ
cana-2147	16	19	data	datum	NOUN
cana-2147	16	20	sources	source	NOUN
cana-2147	16	21	to	to	PART
cana-2147	16	22	gain	gain	VERB
cana-2147	16	23	a	a	DET
cana-2147	16	24	comprehensive	comprehensive	ADJ
cana-2147	16	25	understanding	understanding	NOUN
cana-2147	16	26	of	of	ADP
cana-2147	16	27	a	a	DET
cana-2147	16	28	user	user	NOUN
cana-2147	16	29	's	's	PART
cana-2147	16	30	emotional	emotional	ADJ
cana-2147	16	31	state	state	NOUN
cana-2147	16	32	.	.	PUNCT
cana-2147	17	1	human	human	ADJ
cana-2147	17	2	emotions	emotion	NOUN
cana-2147	17	3	are	be	AUX
cana-2147	17	4	complex	complex	ADJ
cana-2147	17	5	and	and	CCONJ
cana-2147	17	6	multifaceted	multifaceted	ADJ
cana-2147	17	7	,	,	PUNCT
cana-2147	17	8	influenced	influence	VERB
cana-2147	17	9	by	by	ADP
cana-2147	17	10	various	various	ADJ
cana-2147	17	11	factors	factor	NOUN
cana-2147	17	12	such	such	ADJ
cana-2147	17	13	as	as	ADP
cana-2147	17	14	facial	facial	ADJ
cana-2147	17	15	expressions	expression	NOUN
cana-2147	17	16	,	,	PUNCT
cana-2147	17	17	body	body	NOUN
cana-2147	17	18	language	language	NOUN
cana-2147	17	19	,	,	PUNCT
cana-2147	17	20	vocal	vocal	ADJ
cana-2147	17	21	tone	tone	NOUN
cana-2147	17	22	,	,	PUNCT
cana-2147	17	23	and	and	CCONJ
cana-2147	17	24	linguistic	linguistic	ADJ
cana-2147	17	25	patterns	pattern	NOUN
cana-2147	17	26	.	.	PUNCT
cana-2147	18	1	by	by	ADP
cana-2147	18	2	combining	combine	VERB
cana-2147	18	3	these	these	DET
cana-2147	18	4	modalities	modality	NOUN
cana-2147	18	5	,	,	PUNCT
cana-2147	18	6	we	we	PRON
cana-2147	18	7	aim	aim	VERB
cana-2147	18	8	to	to	PART
cana-2147	18	9	create	create	VERB
cana-2147	18	10	a	a	DET
cana-2147	18	11	more	more	ADV
cana-2147	18	12	robust	robust	ADJ
cana-2147	18	13	and	and	CCONJ
cana-2147	18	14	accurate	accurate	ADJ
cana-2147	18	15	emotion	emotion	NOUN
cana-2147	18	16	recognition	recognition	NOUN
cana-2147	18	17	system	system	NOUN
cana-2147	18	18	.	.	PUNCT
cana-2147	19	1	the	the	DET
cana-2147	19	2	integration	integration	NOUN
cana-2147	19	3	of	of	ADP
cana-2147	19	4	these	these	DET
cana-2147	19	5	communications	communication	NOUN
cana-2147	19	6	on	on	ADP
cana-2147	19	7	applied	apply	VERB
cana-2147	19	8	nonlinear	nonlinear	ADJ
cana-2147	19	9	analysis	analysis	NOUN
cana-2147	19	10	issn	issn	NOUN
cana-2147	19	11	:	:	PUNCT
cana-2147	19	12	1074	1074	NUM
cana-2147	19	13	-	-	PUNCT
cana-2147	19	14	133x	133x	NUM
cana-2147	19	15	vol	vol	NOUN
cana-2147	19	16	32	32	NUM
cana-2147	19	17	no	no	NOUN
cana-2147	19	18	.	.	PUNCT
cana-2147	20	1	1s	1s	NUM
cana-2147	20	2	(	(	PUNCT
cana-2147	20	3	2025	2025	NUM
cana-2147	20	4	)	)	PUNCT
cana-2147	20	5	183	183	NUM
cana-2147	20	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2147	20	7	modalities	modality	NOUN
cana-2147	20	8	allows	allow	VERB
cana-2147	20	9	for	for	ADP
cana-2147	20	10	complementary	complementary	ADJ
cana-2147	20	11	information	information	NOUN
cana-2147	20	12	extraction	extraction	NOUN
cana-2147	20	13	and	and	CCONJ
cana-2147	20	14	can	can	AUX
cana-2147	20	15	mitigate	mitigate	VERB
cana-2147	20	16	the	the	DET
cana-2147	20	17	limitations	limitation	NOUN
cana-2147	20	18	of	of	ADP
cana-2147	20	19	relying	rely	VERB
cana-2147	20	20	on	on	ADP
cana-2147	20	21	a	a	DET
cana-2147	20	22	single	single	ADJ
cana-2147	20	23	modality	modality	NOUN
cana-2147	20	24	.	.	PUNCT
cana-2147	21	1	early	early	ADJ
cana-2147	21	2	detection	detection	NOUN
cana-2147	21	3	of	of	ADP
cana-2147	21	4	emotional	emotional	ADJ
cana-2147	21	5	distress	distress	NOUN
cana-2147	21	6	and	and	CCONJ
cana-2147	21	7	potential	potential	ADJ
cana-2147	21	8	suicide	suicide	NOUN
cana-2147	21	9	risk	risk	NOUN
cana-2147	21	10	is	be	AUX
cana-2147	21	11	crucial	crucial	ADJ
cana-2147	21	12	in	in	ADP
cana-2147	21	13	preventing	prevent	VERB
cana-2147	21	14	tragic	tragic	ADJ
cana-2147	21	15	outcomes	outcome	NOUN
cana-2147	21	16	.	.	PUNCT
cana-2147	22	1	this	this	DET
cana-2147	22	2	system	system	NOUN
cana-2147	22	3	is	be	AUX
cana-2147	22	4	designed	design	VERB
cana-2147	22	5	to	to	PART
cana-2147	22	6	go	go	VERB
cana-2147	22	7	beyond	beyond	ADP
cana-2147	22	8	basic	basic	ADJ
cana-2147	22	9	emotion	emotion	NOUN
cana-2147	22	10	recognition	recognition	NOUN
cana-2147	22	11	by	by	ADP
cana-2147	22	12	analyzing	analyze	VERB
cana-2147	22	13	emotional	emotional	ADJ
cana-2147	22	14	patterns	pattern	NOUN
cana-2147	22	15	over	over	ADP
cana-2147	22	16	time	time	NOUN
cana-2147	22	17	.	.	PUNCT
cana-2147	23	1	by	by	ADP
cana-2147	23	2	tracking	track	VERB
cana-2147	23	3	changes	change	NOUN
cana-2147	23	4	in	in	ADP
cana-2147	23	5	emotional	emotional	ADJ
cana-2147	23	6	states	state	NOUN
cana-2147	23	7	,	,	PUNCT
cana-2147	23	8	identifying	identify	VERB
cana-2147	23	9	trends	trend	NOUN
cana-2147	23	10	,	,	PUNCT
cana-2147	23	11	and	and	CCONJ
cana-2147	23	12	detecting	detect	VERB
cana-2147	23	13	anomalies	anomaly	NOUN
cana-2147	23	14	,	,	PUNCT
cana-2147	23	15	we	we	PRON
cana-2147	23	16	aim	aim	VERB
cana-2147	23	17	to	to	PART
cana-2147	23	18	provide	provide	VERB
cana-2147	23	19	early	early	ADJ
cana-2147	23	20	warning	warning	NOUN
cana-2147	23	21	signals	signal	NOUN
cana-2147	23	22	of	of	ADP
cana-2147	23	23	potential	potential	ADJ
cana-2147	23	24	mental	mental	ADJ
cana-2147	23	25	health	health	NOUN
cana-2147	23	26	crises	crisis	NOUN
cana-2147	23	27	.	.	PUNCT
cana-2147	24	1	the	the	DET
cana-2147	24	2	system	system	NOUN
cana-2147	24	3	employs	employ	VERB
cana-2147	24	4	advanced	advanced	ADJ
cana-2147	24	5	deep	deep	ADJ
cana-2147	24	6	learning	learning	NOUN
cana-2147	24	7	models	model	NOUN
cana-2147	24	8	to	to	PART
cana-2147	24	9	process	process	VERB
cana-2147	24	10	and	and	CCONJ
cana-2147	24	11	analyze	analyze	VERB
cana-2147	24	12	multimodal	multimodal	NOUN
cana-2147	24	13	data	datum	NOUN
cana-2147	24	14	.	.	PUNCT
cana-2147	25	1	convolutional	convolutional	ADJ
cana-2147	25	2	neural	neural	ADJ
cana-2147	25	3	networks	network	NOUN
cana-2147	25	4	(	(	PUNCT
cana-2147	25	5	cnns	cnns	PROPN
cana-2147	25	6	)	)	PUNCT
cana-2147	25	7	are	be	AUX
cana-2147	25	8	utilized	utilize	VERB
cana-2147	25	9	for	for	ADP
cana-2147	25	10	image	image	NOUN
cana-2147	25	11	and	and	CCONJ
cana-2147	25	12	video	video	NOUN
cana-2147	25	13	analysis	analysis	NOUN
cana-2147	25	14	,	,	PUNCT
cana-2147	25	15	while	while	SCONJ
cana-2147	25	16	recurrent	recurrent	ADJ
cana-2147	25	17	neural	neural	ADJ
cana-2147	25	18	networks	network	NOUN
cana-2147	25	19	(	(	PUNCT
cana-2147	25	20	rnns	rnns	PROPN
cana-2147	25	21	)	)	PUNCT
cana-2147	25	22	and	and	CCONJ
cana-2147	25	23	transformer	transformer	NOUN
cana-2147	25	24	-	-	PUNCT
cana-2147	25	25	based	base	VERB
cana-2147	25	26	models	model	NOUN
cana-2147	25	27	are	be	AUX
cana-2147	25	28	employed	employ	VERB
cana-2147	25	29	for	for	ADP
cana-2147	25	30	audio	audio	ADJ
cana-2147	25	31	and	and	CCONJ
cana-2147	25	32	text	text	NOUN
cana-2147	25	33	processing	processing	NOUN
cana-2147	25	34	,	,	PUNCT
cana-2147	25	35	respectively	respectively	ADV
cana-2147	25	36	.	.	PUNCT
cana-2147	26	1	these	these	DET
cana-2147	26	2	models	model	NOUN
cana-2147	26	3	are	be	AUX
cana-2147	26	4	trained	train	VERB
cana-2147	26	5	on	on	ADP
cana-2147	26	6	large	large	ADJ
cana-2147	26	7	datasets	dataset	NOUN
cana-2147	26	8	to	to	PART
cana-2147	26	9	achieve	achieve	VERB
cana-2147	26	10	high	high	ADJ
cana-2147	26	11	accuracy	accuracy	NOUN
cana-2147	26	12	in	in	ADP
cana-2147	26	13	emotion	emotion	NOUN
cana-2147	26	14	classification	classification	NOUN
cana-2147	26	15	.	.	PUNCT
cana-2147	27	1	a	a	DET
cana-2147	27	2	key	key	ADJ
cana-2147	27	3	component	component	NOUN
cana-2147	27	4	of	of	ADP
cana-2147	27	5	the	the	DET
cana-2147	27	6	system	system	NOUN
cana-2147	27	7	is	be	AUX
cana-2147	27	8	the	the	DET
cana-2147	27	9	development	development	NOUN
cana-2147	27	10	of	of	ADP
cana-2147	27	11	robust	robust	ADJ
cana-2147	27	12	feature	feature	NOUN
cana-2147	27	13	extraction	extraction	NOUN
cana-2147	27	14	techniques	technique	NOUN
cana-2147	27	15	.	.	PUNCT
cana-2147	28	1	for	for	ADP
cana-2147	28	2	image	image	NOUN
cana-2147	28	3	and	and	CCONJ
cana-2147	28	4	video	video	NOUN
cana-2147	28	5	data	datum	NOUN
cana-2147	28	6	,	,	PUNCT
cana-2147	28	7	facial	facial	ADJ
cana-2147	28	8	landmarks	landmark	NOUN
cana-2147	28	9	and	and	CCONJ
cana-2147	28	10	facial	facial	ADJ
cana-2147	28	11	action	action	NOUN
cana-2147	28	12	units	unit	NOUN
cana-2147	28	13	are	be	AUX
cana-2147	28	14	extracted	extract	VERB
cana-2147	28	15	to	to	PART
cana-2147	28	16	capture	capture	VERB
cana-2147	28	17	subtle	subtle	ADJ
cana-2147	28	18	emotional	emotional	ADJ
cana-2147	28	19	cues	cue	NOUN
cana-2147	28	20	.	.	PUNCT
cana-2147	29	1	for	for	ADP
cana-2147	29	2	audio	audio	ADJ
cana-2147	29	3	data	datum	NOUN
cana-2147	29	4	,	,	PUNCT
cana-2147	29	5	acoustic	acoustic	ADJ
cana-2147	29	6	features	feature	NOUN
cana-2147	29	7	such	such	ADJ
cana-2147	29	8	as	as	ADP
cana-2147	29	9	mel	mel	PROPN
cana-2147	29	10	-	-	PUNCT
cana-2147	29	11	frequency	frequency	ADJ
cana-2147	29	12	cepstral	cepstral	ADJ
cana-2147	29	13	coefficients	coefficient	NOUN
cana-2147	29	14	(	(	PUNCT
cana-2147	29	15	mfccs	mfccs	NOUN
cana-2147	29	16	)	)	PUNCT
cana-2147	29	17	and	and	CCONJ
cana-2147	29	18	pitch	pitch	NOUN
cana-2147	29	19	are	be	AUX
cana-2147	29	20	extracted	extract	VERB
cana-2147	29	21	to	to	PART
cana-2147	29	22	represent	represent	VERB
cana-2147	29	23	vocal	vocal	ADJ
cana-2147	29	24	characteristics	characteristic	NOUN
cana-2147	29	25	.	.	PUNCT
cana-2147	30	1	for	for	ADP
cana-2147	30	2	text	text	NOUN
cana-2147	30	3	data	datum	NOUN
cana-2147	30	4	,	,	PUNCT
cana-2147	30	5	natural	natural	ADJ
cana-2147	30	6	language	language	NOUN
cana-2147	30	7	processing	processing	NOUN
cana-2147	30	8	techniques	technique	NOUN
cana-2147	30	9	are	be	AUX
cana-2147	30	10	used	use	VERB
cana-2147	30	11	to	to	PART
cana-2147	30	12	extract	extract	VERB
cana-2147	30	13	semantic	semantic	ADJ
cana-2147	30	14	and	and	CCONJ
cana-2147	30	15	syntactic	syntactic	ADJ
cana-2147	30	16	information	information	NOUN
cana-2147	30	17	.	.	PUNCT
cana-2147	31	1	the	the	DET
cana-2147	31	2	extracted	extract	VERB
cana-2147	31	3	features	feature	NOUN
cana-2147	31	4	are	be	AUX
cana-2147	31	5	then	then	ADV
cana-2147	31	6	fed	feed	VERB
cana-2147	31	7	into	into	ADP
cana-2147	31	8	the	the	DET
cana-2147	31	9	respective	respective	ADJ
cana-2147	31	10	deep	deep	ADJ
cana-2147	31	11	learning	learning	NOUN
cana-2147	31	12	models	model	NOUN
cana-2147	31	13	to	to	PART
cana-2147	31	14	predict	predict	VERB
cana-2147	31	15	emotions	emotion	NOUN
cana-2147	31	16	.	.	PUNCT
cana-2147	32	1	the	the	DET
cana-2147	32	2	system	system	NOUN
cana-2147	32	3	incorporates	incorporate	VERB
cana-2147	32	4	a	a	DET
cana-2147	32	5	fusion	fusion	NOUN
cana-2147	32	6	module	module	NOUN
cana-2147	32	7	to	to	PART
cana-2147	32	8	combine	combine	VERB
cana-2147	32	9	the	the	DET
cana-2147	32	10	predictions	prediction	NOUN
cana-2147	32	11	from	from	ADP
cana-2147	32	12	different	different	ADJ
cana-2147	32	13	modalities	modality	NOUN
cana-2147	32	14	,	,	PUNCT
cana-2147	32	15	resulting	result	VERB
cana-2147	32	16	in	in	ADP
cana-2147	32	17	a	a	DET
cana-2147	32	18	more	more	ADV
cana-2147	32	19	comprehensive	comprehensive	ADJ
cana-2147	32	20	and	and	CCONJ
cana-2147	32	21	reliable	reliable	ADJ
cana-2147	32	22	emotion	emotion	NOUN
cana-2147	32	23	assessment	assessment	NOUN
cana-2147	32	24	.	.	PUNCT
cana-2147	33	1	by	by	ADP
cana-2147	33	2	continuously	continuously	ADV
cana-2147	33	3	monitoring	monitor	VERB
cana-2147	33	4	a	a	DET
cana-2147	33	5	user	user	NOUN
cana-2147	33	6	's	's	PART
cana-2147	33	7	emotional	emotional	ADJ
cana-2147	33	8	state	state	NOUN
cana-2147	33	9	,	,	PUNCT
cana-2147	33	10	the	the	DET
cana-2147	33	11	system	system	NOUN
cana-2147	33	12	can	can	AUX
cana-2147	33	13	generate	generate	VERB
cana-2147	33	14	valuable	valuable	ADJ
cana-2147	33	15	insights	insight	NOUN
cana-2147	33	16	into	into	ADP
cana-2147	33	17	their	their	PRON
cana-2147	33	18	well	well	ADV
cana-2147	33	19	-	-	PUNCT
cana-2147	33	20	being	being	NOUN
cana-2147	33	21	.	.	PUNCT
cana-2147	34	1	visualizations	visualization	NOUN
cana-2147	34	2	and	and	CCONJ
cana-2147	34	3	analytics	analytic	NOUN
cana-2147	34	4	tools	tool	NOUN
cana-2147	34	5	are	be	AUX
cana-2147	34	6	integrated	integrate	VERB
cana-2147	34	7	to	to	PART
cana-2147	34	8	provide	provide	VERB
cana-2147	34	9	users	user	NOUN
cana-2147	34	10	with	with	ADP
cana-2147	34	11	a	a	DET
cana-2147	34	12	clear	clear	ADJ
cana-2147	34	13	understanding	understanding	NOUN
cana-2147	34	14	of	of	ADP
cana-2147	34	15	their	their	PRON
cana-2147	34	16	emotional	emotional	ADJ
cana-2147	34	17	patterns	pattern	NOUN
cana-2147	34	18	and	and	CCONJ
cana-2147	34	19	trends	trend	NOUN
cana-2147	34	20	.	.	PUNCT
cana-2147	35	1	additionally	additionally	ADV
cana-2147	35	2	,	,	PUNCT
cana-2147	35	3	the	the	DET
cana-2147	35	4	system	system	NOUN
cana-2147	35	5	can	can	AUX
cana-2147	35	6	generate	generate	VERB
cana-2147	35	7	personalized	personalized	ADJ
cana-2147	35	8	recommendations	recommendation	NOUN
cana-2147	35	9	based	base	VERB
cana-2147	35	10	on	on	ADP
cana-2147	35	11	the	the	DET
cana-2147	35	12	detected	detect	VERB
cana-2147	35	13	emotional	emotional	ADJ
cana-2147	35	14	states	state	NOUN
cana-2147	35	15	,	,	PUNCT
cana-2147	35	16	such	such	ADJ
cana-2147	35	17	as	as	ADP
cana-2147	35	18	stress	stress	NOUN
cana-2147	35	19	management	management	NOUN
cana-2147	35	20	techniques	technique	NOUN
cana-2147	35	21	,	,	PUNCT
cana-2147	35	22	relaxation	relaxation	NOUN
cana-2147	35	23	exercises	exercise	NOUN
cana-2147	35	24	,	,	PUNCT
cana-2147	35	25	or	or	CCONJ
cana-2147	35	26	seeking	seek	VERB
cana-2147	35	27	professional	professional	ADJ
cana-2147	35	28	help	help	NOUN
cana-2147	35	29	.	.	PUNCT
cana-2147	36	1	it	it	PRON
cana-2147	36	2	is	be	AUX
cana-2147	36	3	important	important	ADJ
cana-2147	36	4	to	to	PART
cana-2147	36	5	emphasize	emphasize	VERB
cana-2147	36	6	that	that	SCONJ
cana-2147	36	7	this	this	DET
cana-2147	36	8	system	system	NOUN
cana-2147	36	9	is	be	AUX
cana-2147	36	10	not	not	PART
cana-2147	36	11	intended	intend	VERB
cana-2147	36	12	to	to	PART
cana-2147	36	13	replace	replace	VERB
cana-2147	36	14	professional	professional	ADJ
cana-2147	36	15	mental	mental	ADJ
cana-2147	36	16	health	health	NOUN
cana-2147	36	17	care	care	NOUN
cana-2147	36	18	.	.	PUNCT
cana-2147	37	1	instead	instead	ADV
cana-2147	37	2	,	,	PUNCT
cana-2147	37	3	it	it	PRON
cana-2147	37	4	aims	aim	VERB
cana-2147	37	5	to	to	PART
cana-2147	37	6	complement	complement	VERB
cana-2147	37	7	existing	exist	VERB
cana-2147	37	8	approaches	approach	NOUN
cana-2147	37	9	by	by	ADP
cana-2147	37	10	providing	provide	VERB
cana-2147	37	11	an	an	DET
cana-2147	37	12	additional	additional	ADJ
cana-2147	37	13	layer	layer	NOUN
cana-2147	37	14	of	of	ADP
cana-2147	37	15	monitoring	monitoring	NOUN
cana-2147	37	16	and	and	CCONJ
cana-2147	37	17	support	support	NOUN
cana-2147	37	18	.	.	PUNCT
cana-2147	38	1	the	the	DET
cana-2147	38	2	system	system	NOUN
cana-2147	38	3	should	should	AUX
cana-2147	38	4	be	be	AUX
cana-2147	38	5	used	use	VERB
cana-2147	38	6	as	as	ADP
cana-2147	38	7	a	a	DET
cana-2147	38	8	tool	tool	NOUN
cana-2147	38	9	for	for	ADP
cana-2147	38	10	early	early	ADJ
cana-2147	38	11	detection	detection	NOUN
cana-2147	38	12	and	and	CCONJ
cana-2147	38	13	intervention	intervention	NOUN
cana-2147	38	14	,	,	PUNCT
cana-2147	38	15	encouraging	encourage	VERB
cana-2147	38	16	users	user	NOUN
cana-2147	38	17	to	to	PART
cana-2147	38	18	seek	seek	VERB
cana-2147	38	19	professional	professional	ADJ
cana-2147	38	20	help	help	NOUN
cana-2147	38	21	when	when	SCONJ
cana-2147	38	22	necessary	necessary	ADJ
cana-2147	38	23	.	.	PUNCT
cana-2147	39	1	by	by	ADP
cana-2147	39	2	combining	combine	VERB
cana-2147	39	3	advanced	advanced	ADJ
cana-2147	39	4	machine	machine	NOUN
cana-2147	39	5	learning	learn	VERB
cana-2147	39	6	techniques	technique	NOUN
cana-2147	39	7	with	with	ADP
cana-2147	39	8	multimodal	multimodal	ADJ
cana-2147	39	9	data	datum	NOUN
cana-2147	39	10	analysis	analysis	NOUN
cana-2147	39	11	,	,	PUNCT
cana-2147	39	12	this	this	DET
cana-2147	39	13	project	project	NOUN
cana-2147	39	14	seeks	seek	VERB
cana-2147	39	15	to	to	PART
cana-2147	39	16	contribute	contribute	VERB
cana-2147	39	17	to	to	ADP
cana-2147	39	18	the	the	DET
cana-2147	39	19	development	development	NOUN
cana-2147	39	20	of	of	ADP
cana-2147	39	21	innovative	innovative	ADJ
cana-2147	39	22	solutions	solution	NOUN
cana-2147	39	23	for	for	ADP
cana-2147	39	24	mental	mental	ADJ
cana-2147	39	25	health	health	NOUN
cana-2147	39	26	care	care	NOUN
cana-2147	39	27	and	and	CCONJ
cana-2147	39	28	well	well	ADV
cana-2147	39	29	-	-	PUNCT
cana-2147	39	30	being	being	NOUN
cana-2147	39	31	.	.	PUNCT
cana-2147	40	1	ii	ii	X
cana-2147	40	2	.	.	PUNCT
cana-2147	41	1	literature	literature	NOUN
cana-2147	41	2	survey	survey	PROPN
cana-2147	41	3	:	:	PUNCT
cana-2147	41	4	a	a	DET
cana-2147	41	5	substantial	substantial	ADJ
cana-2147	41	6	body	body	NOUN
cana-2147	41	7	of	of	ADP
cana-2147	41	8	research	research	NOUN
cana-2147	41	9	has	have	AUX
cana-2147	41	10	explored	explore	VERB
cana-2147	41	11	emotion	emotion	NOUN
cana-2147	41	12	recognition	recognition	NOUN
cana-2147	41	13	across	across	ADP
cana-2147	41	14	various	various	ADJ
cana-2147	41	15	modalities	modality	NOUN
cana-2147	41	16	,	,	PUNCT
cana-2147	41	17	with	with	ADP
cana-2147	41	18	a	a	DET
cana-2147	41	19	focus	focus	NOUN
cana-2147	41	20	on	on	ADP
cana-2147	41	21	text	text	NOUN
cana-2147	41	22	,	,	PUNCT
cana-2147	41	23	speech	speech	NOUN
cana-2147	41	24	,	,	PUNCT
cana-2147	41	25	and	and	CCONJ
cana-2147	41	26	visual	visual	ADJ
cana-2147	41	27	data	datum	NOUN
cana-2147	41	28	.	.	PUNCT
cana-2147	42	1	early	early	ADJ
cana-2147	42	2	works	work	NOUN
cana-2147	42	3	in	in	ADP
cana-2147	42	4	text	text	NOUN
cana-2147	42	5	-	-	PUNCT
cana-2147	42	6	based	base	VERB
cana-2147	42	7	emotion	emotion	NOUN
cana-2147	42	8	recognition	recognition	NOUN
cana-2147	42	9	primarily	primarily	ADV
cana-2147	42	10	employed	employ	VERB
cana-2147	42	11	rule	rule	NOUN
cana-2147	42	12	-	-	PUNCT
cana-2147	42	13	based	base	VERB
cana-2147	42	14	or	or	CCONJ
cana-2147	42	15	lexicon	lexicon	NOUN
cana-2147	42	16	-	-	PUNCT
cana-2147	42	17	based	base	VERB
cana-2147	42	18	approaches	approach	NOUN
cana-2147	42	19	[	[	X
cana-2147	42	20	11	11	NUM
cana-2147	42	21	]	]	PUNCT
cana-2147	42	22	.	.	PUNCT
cana-2147	43	1	however	however	ADV
cana-2147	43	2	,	,	PUNCT
cana-2147	43	3	recent	recent	ADJ
cana-2147	43	4	advancements	advancement	NOUN
cana-2147	43	5	in	in	ADP
cana-2147	43	6	deep	deep	ADJ
cana-2147	43	7	learning	learning	NOUN
cana-2147	43	8	have	have	AUX
cana-2147	43	9	led	lead	VERB
cana-2147	43	10	to	to	ADP
cana-2147	43	11	the	the	DET
cana-2147	43	12	development	development	NOUN
cana-2147	43	13	of	of	ADP
cana-2147	43	14	more	more	ADV
cana-2147	43	15	sophisticated	sophisticated	ADJ
cana-2147	43	16	models	model	NOUN
cana-2147	43	17	.	.	PUNCT
cana-2147	44	1	for	for	ADP
cana-2147	44	2	instance	instance	NOUN
cana-2147	44	3	,	,	PUNCT
cana-2147	44	4	rajabi	rajabi	NOUN
cana-2147	44	5	,	,	PUNCT
cana-2147	44	6	shehu	shehu	NOUN
cana-2147	44	7	,	,	PUNCT
cana-2147	44	8	and	and	CCONJ
cana-2147	44	9	uzuner	uzuner	NOUN
cana-2147	44	10	et	et	PROPN
cana-2147	44	11	al	al	PROPN
cana-2147	44	12	.	.	PUNCT
cana-2147	45	1	[	[	X
cana-2147	45	2	12	12	NUM
cana-2147	45	3	]	]	PUNCT
cana-2147	45	4	proposed	propose	VERB
cana-2147	45	5	a	a	DET
cana-2147	45	6	multi	multi	ADJ
cana-2147	45	7	-	-	ADJ
cana-2147	45	8	channel	channel	ADJ
cana-2147	45	9	bilstm	bilstm	NOUN
cana-2147	45	10	-	-	PUNCT
cana-2147	45	11	cnn	cnn	PROPN
cana-2147	45	12	model	model	NOUN
cana-2147	45	13	for	for	ADP
cana-2147	45	14	multi	multi	ADJ
cana-2147	45	15	-	-	ADJ
cana-2147	45	16	label	label	ADJ
cana-2147	45	17	emotion	emotion	NOUN
cana-2147	45	18	classification	classification	NOUN
cana-2147	45	19	,	,	PUNCT
cana-2147	45	20	demonstrating	demonstrate	VERB
cana-2147	45	21	improved	improved	ADJ
cana-2147	45	22	performance	performance	NOUN
cana-2147	45	23	over	over	ADP
cana-2147	45	24	traditional	traditional	ADJ
cana-2147	45	25	methods	method	NOUN
cana-2147	45	26	.	.	PUNCT
cana-2147	46	1	communications	communication	NOUN
cana-2147	46	2	on	on	ADP
cana-2147	46	3	applied	apply	VERB
cana-2147	46	4	nonlinear	nonlinear	ADJ
cana-2147	46	5	analysis	analysis	NOUN
cana-2147	46	6	issn	issn	NOUN
cana-2147	46	7	:	:	PUNCT
cana-2147	46	8	1074	1074	NUM
cana-2147	46	9	-	-	PUNCT
cana-2147	46	10	133x	133x	NUM
cana-2147	46	11	vol	vol	NOUN
cana-2147	46	12	32	32	NUM
cana-2147	46	13	no	no	NOUN
cana-2147	46	14	.	.	PUNCT
cana-2147	47	1	1s	1s	NUM
cana-2147	47	2	(	(	PUNCT
cana-2147	47	3	2025	2025	NUM
cana-2147	47	4	)	)	PUNCT
cana-2147	47	5	184	184	NUM
cana-2147	47	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2147	47	7	in	in	ADP
cana-2147	47	8	the	the	DET
cana-2147	47	9	realm	realm	NOUN
cana-2147	47	10	of	of	ADP
cana-2147	47	11	speech	speech	NOUN
cana-2147	47	12	emotion	emotion	NOUN
cana-2147	47	13	recognition	recognition	NOUN
cana-2147	47	14	,	,	PUNCT
cana-2147	47	15	researchers	researcher	NOUN
cana-2147	47	16	have	have	AUX
cana-2147	47	17	explored	explore	VERB
cana-2147	47	18	various	various	ADJ
cana-2147	47	19	deep	deep	ADJ
cana-2147	47	20	learning	learning	NOUN
cana-2147	47	21	architectures	architecture	NOUN
cana-2147	47	22	.	.	PUNCT
cana-2147	48	1	zhao	zhao	PROPN
cana-2147	48	2	,	,	PUNCT
cana-2147	48	3	zhao	zhao	PROPN
cana-2147	48	4	,	,	PUNCT
cana-2147	48	5	and	and	CCONJ
cana-2147	48	6	tian	tian	ADJ
cana-2147	48	7	[	[	X
cana-2147	48	8	22	22	NUM
cana-2147	48	9	]	]	PUNCT
cana-2147	48	10	introduced	introduce	VERB
cana-2147	48	11	a	a	DET
cana-2147	48	12	multiscale	multiscale	ADJ
cana-2147	48	13	deep	deep	ADJ
cana-2147	48	14	convolutional	convolutional	ADJ
cana-2147	48	15	lstm	lstm	ADJ
cana-2147	48	16	network	network	NOUN
cana-2147	48	17	to	to	PART
cana-2147	48	18	effectively	effectively	ADV
cana-2147	48	19	capture	capture	VERB
cana-2147	48	20	temporal	temporal	ADJ
cana-2147	48	21	and	and	CCONJ
cana-2147	48	22	spectral	spectral	ADJ
cana-2147	48	23	features	feature	NOUN
cana-2147	48	24	of	of	ADP
cana-2147	48	25	speech	speech	NOUN
cana-2147	48	26	signals	signal	NOUN
cana-2147	48	27	.	.	PUNCT
cana-2147	49	1	similarly	similarly	ADV
cana-2147	49	2	,	,	PUNCT
cana-2147	49	3	wang	wang	PROPN
cana-2147	49	4	et	et	PROPN
cana-2147	49	5	al	al	PROPN
cana-2147	49	6	.	.	PUNCT
cana-2147	50	1	[	[	X
cana-2147	50	2	23	23	NUM
cana-2147	50	3	]	]	PUNCT
cana-2147	50	4	proposed	propose	VERB
cana-2147	50	5	a	a	DET
cana-2147	50	6	dual	dual	ADJ
cana-2147	50	7	-	-	PUNCT
cana-2147	50	8	sequence	sequence	NOUN
cana-2147	50	9	lstm	lstm	NOUN
cana-2147	50	10	architecture	architecture	NOUN
cana-2147	50	11	for	for	ADP
cana-2147	50	12	improved	improved	ADJ
cana-2147	50	13	emotion	emotion	NOUN
cana-2147	50	14	classification	classification	NOUN
cana-2147	50	15	.	.	PUNCT
cana-2147	51	1	these	these	DET
cana-2147	51	2	studies	study	NOUN
cana-2147	51	3	highlight	highlight	VERB
cana-2147	51	4	the	the	DET
cana-2147	51	5	potential	potential	NOUN
cana-2147	51	6	of	of	ADP
cana-2147	51	7	deep	deep	ADJ
cana-2147	51	8	learning	learning	NOUN
cana-2147	51	9	in	in	ADP
cana-2147	51	10	accurately	accurately	ADV
cana-2147	51	11	recognizing	recognize	VERB
cana-2147	51	12	emotions	emotion	NOUN
cana-2147	51	13	from	from	ADP
cana-2147	51	14	speech	speech	NOUN
cana-2147	51	15	data	datum	NOUN
cana-2147	51	16	.	.	PUNCT
cana-2147	52	1	visual	visual	ADJ
cana-2147	52	2	emotion	emotion	NOUN
cana-2147	52	3	recognition	recognition	NOUN
cana-2147	52	4	has	have	AUX
cana-2147	52	5	also	also	ADV
cana-2147	52	6	witnessed	witness	VERB
cana-2147	52	7	significant	significant	ADJ
cana-2147	52	8	progress	progress	NOUN
cana-2147	52	9	,	,	PUNCT
cana-2147	52	10	with	with	ADP
cana-2147	52	11	cnn	cnn	PROPN
cana-2147	52	12	-	-	PUNCT
cana-2147	52	13	based	base	VERB
cana-2147	52	14	models	model	NOUN
cana-2147	52	15	achieving	achieve	VERB
cana-2147	52	16	promising	promising	ADJ
cana-2147	52	17	results	result	NOUN
cana-2147	52	18	.	.	PUNCT
cana-2147	53	1	zhang	zhang	PROPN
cana-2147	53	2	,	,	PUNCT
cana-2147	53	3	yangsen	yangsen	PROPN
cana-2147	53	4	,	,	PUNCT
cana-2147	53	5	et	et	PROPN
cana-2147	53	6	al	al	PROPN
cana-2147	53	7	.	.	PUNCT
cana-2147	54	1	[	[	X
cana-2147	54	2	16	16	NUM
cana-2147	54	3	]	]	PUNCT
cana-2147	54	4	proposed	propose	VERB
cana-2147	54	5	a	a	DET
cana-2147	54	6	coordinated	coordinated	ADJ
cana-2147	54	7	cnn	cnn	PROPN
cana-2147	54	8	-	-	PUNCT
cana-2147	54	9	lstmattention	lstmattention	NOUN
cana-2147	54	10	model	model	NOUN
cana-2147	54	11	for	for	ADP
cana-2147	54	12	text	text	NOUN
cana-2147	54	13	sentiment	sentiment	NOUN
cana-2147	54	14	classification	classification	NOUN
cana-2147	54	15	,	,	PUNCT
cana-2147	54	16	demonstrating	demonstrate	VERB
cana-2147	54	17	the	the	DET
cana-2147	54	18	effectiveness	effectiveness	NOUN
cana-2147	54	19	of	of	ADP
cana-2147	54	20	combining	combine	VERB
cana-2147	54	21	different	different	ADJ
cana-2147	54	22	neural	neural	ADJ
cana-2147	54	23	network	network	NOUN
cana-2147	54	24	architectures	architecture	NOUN
cana-2147	54	25	.	.	PUNCT
cana-2147	55	1	park	park	PROPN
cana-2147	55	2	,	,	PUNCT
cana-2147	55	3	bae	bae	NOUN
cana-2147	55	4	,	,	PUNCT
cana-2147	55	5	and	and	CCONJ
cana-2147	55	6	cheong	cheong	NOUN
cana-2147	56	1	[	[	X
cana-2147	56	2	15	15	NUM
cana-2147	56	3	]	]	PUNCT
cana-2147	56	4	introduced	introduce	VERB
cana-2147	56	5	an	an	DET
cana-2147	56	6	emotion	emotion	NOUN
cana-2147	56	7	embedding	embed	VERB
cana-2147	56	8	model	model	NOUN
cana-2147	56	9	for	for	ADP
cana-2147	56	10	recognizing	recognize	VERB
cana-2147	56	11	emotions	emotion	NOUN
cana-2147	56	12	from	from	ADP
cana-2147	56	13	text	text	NOUN
cana-2147	56	14	stories	story	NOUN
cana-2147	56	15	.	.	PUNCT
cana-2147	57	1	while	while	SCONJ
cana-2147	57	2	individual	individual	ADJ
cana-2147	57	3	modalities	modality	NOUN
cana-2147	57	4	have	have	AUX
cana-2147	57	5	been	be	AUX
cana-2147	57	6	extensively	extensively	ADV
cana-2147	57	7	studied	study	VERB
cana-2147	57	8	,	,	PUNCT
cana-2147	57	9	research	research	NOUN
cana-2147	57	10	on	on	ADP
cana-2147	57	11	multimodal	multimodal	NOUN
cana-2147	57	12	emotion	emotion	NOUN
cana-2147	57	13	recognition	recognition	NOUN
cana-2147	57	14	is	be	AUX
cana-2147	57	15	still	still	ADV
cana-2147	57	16	in	in	ADP
cana-2147	57	17	its	its	PRON
cana-2147	57	18	early	early	ADJ
cana-2147	57	19	stages	stage	NOUN
cana-2147	57	20	.	.	PUNCT
cana-2147	58	1	integrating	integrate	VERB
cana-2147	58	2	information	information	NOUN
cana-2147	58	3	from	from	ADP
cana-2147	58	4	multiple	multiple	ADJ
cana-2147	58	5	sources	source	NOUN
cana-2147	58	6	has	have	VERB
cana-2147	58	7	the	the	DET
cana-2147	58	8	potential	potential	NOUN
cana-2147	58	9	to	to	PART
cana-2147	58	10	enhance	enhance	VERB
cana-2147	58	11	emotion	emotion	NOUN
cana-2147	58	12	recognition	recognition	NOUN
cana-2147	58	13	accuracy	accuracy	NOUN
cana-2147	58	14	and	and	CCONJ
cana-2147	58	15	robustness	robustness	NOUN
cana-2147	58	16	.	.	PUNCT
cana-2147	59	1	however	however	ADV
cana-2147	59	2	,	,	PUNCT
cana-2147	59	3	challenges	challenge	NOUN
cana-2147	59	4	such	such	ADJ
cana-2147	59	5	as	as	ADP
cana-2147	59	6	data	data	NOUN
cana-2147	59	7	fusion	fusion	NOUN
cana-2147	59	8	and	and	CCONJ
cana-2147	59	9	computational	computational	ADJ
cana-2147	59	10	complexity	complexity	NOUN
cana-2147	59	11	need	need	VERB
cana-2147	59	12	to	to	PART
cana-2147	59	13	be	be	AUX
cana-2147	59	14	addressed	address	VERB
cana-2147	59	15	.	.	PUNCT
cana-2147	60	1	this	this	DET
cana-2147	60	2	review	review	NOUN
cana-2147	60	3	highlights	highlight	VERB
cana-2147	60	4	the	the	DET
cana-2147	60	5	growing	grow	VERB
cana-2147	60	6	interest	interest	NOUN
cana-2147	60	7	in	in	ADP
cana-2147	60	8	emotion	emotion	NOUN
cana-2147	60	9	recognition	recognition	NOUN
cana-2147	60	10	and	and	CCONJ
cana-2147	60	11	the	the	DET
cana-2147	60	12	potential	potential	NOUN
cana-2147	60	13	of	of	ADP
cana-2147	60	14	deep	deep	ADJ
cana-2147	60	15	learning	learning	NOUN
cana-2147	60	16	techniques	technique	NOUN
cana-2147	60	17	in	in	ADP
cana-2147	60	18	this	this	DET
cana-2147	60	19	field	field	NOUN
cana-2147	60	20	.	.	PUNCT
cana-2147	61	1	by	by	ADP
cana-2147	61	2	combining	combine	VERB
cana-2147	61	3	insights	insight	NOUN
cana-2147	61	4	from	from	ADP
cana-2147	61	5	these	these	DET
cana-2147	61	6	studies	study	NOUN
cana-2147	61	7	,	,	PUNCT
cana-2147	61	8	this	this	DET
cana-2147	61	9	research	research	NOUN
cana-2147	61	10	aims	aim	VERB
cana-2147	61	11	to	to	PART
cana-2147	61	12	develop	develop	VERB
cana-2147	61	13	a	a	DET
cana-2147	61	14	robust	robust	ADJ
cana-2147	61	15	multimodal	multimodal	NOUN
cana-2147	61	16	emotion	emotion	NOUN
cana-2147	61	17	recognition	recognition	NOUN
cana-2147	61	18	system	system	NOUN
cana-2147	61	19	capable	capable	ADJ
cana-2147	61	20	of	of	ADP
cana-2147	61	21	accurately	accurately	ADV
cana-2147	61	22	classifying	classify	VERB
cana-2147	61	23	emotions	emotion	NOUN
cana-2147	61	24	and	and	CCONJ
cana-2147	61	25	providing	provide	VERB
cana-2147	61	26	valuable	valuable	ADJ
cana-2147	61	27	insights	insight	NOUN
cana-2147	61	28	into	into	ADP
cana-2147	61	29	user	user	NOUN
cana-2147	61	30	well	well	ADV
cana-2147	61	31	-	-	PUNCT
cana-2147	61	32	being	being	NOUN
cana-2147	61	33	.	.	PUNCT
cana-2147	62	1	iii	iii	X
cana-2147	62	2	.	.	PROPN
cana-2147	62	3	methodology	methodology	PROPN
cana-2147	62	4	data	datum	NOUN
cana-2147	62	5	acquisition	acquisition	NOUN
cana-2147	62	6	and	and	CCONJ
cana-2147	62	7	preprocessing	preprocesse	VERB
cana-2147	62	8	multimodal	multimodal	NOUN
cana-2147	62	9	data	datum	NOUN
cana-2147	62	10	collection	collection	NOUN
cana-2147	62	11	:	:	PUNCT
cana-2147	62	12	the	the	DET
cana-2147	62	13	system	system	NOUN
cana-2147	62	14	collects	collect	VERB
cana-2147	62	15	multimodal	multimodal	ADJ
cana-2147	62	16	data	datum	NOUN
cana-2147	62	17	,	,	PUNCT
cana-2147	62	18	including	include	VERB
cana-2147	62	19	image	image	NOUN
cana-2147	62	20	,	,	PUNCT
cana-2147	62	21	video	video	NOUN
cana-2147	62	22	,	,	PUNCT
cana-2147	62	23	audio	audio	NOUN
cana-2147	62	24	,	,	PUNCT
cana-2147	62	25	and	and	CCONJ
cana-2147	62	26	text	text	NOUN
cana-2147	62	27	,	,	PUNCT
cana-2147	62	28	from	from	ADP
cana-2147	62	29	diverse	diverse	ADJ
cana-2147	62	30	sources	source	NOUN
cana-2147	62	31	.	.	PUNCT
cana-2147	63	1	image	image	NOUN
cana-2147	63	2	and	and	CCONJ
cana-2147	63	3	video	video	NOUN
cana-2147	63	4	data	datum	NOUN
cana-2147	63	5	are	be	AUX
cana-2147	63	6	captured	capture	VERB
cana-2147	63	7	through	through	ADP
cana-2147	63	8	cameras	camera	NOUN
cana-2147	63	9	or	or	CCONJ
cana-2147	63	10	user	user	NOUN
cana-2147	63	11	-	-	PUNCT
cana-2147	63	12	provided	provide	VERB
cana-2147	63	13	media	medium	NOUN
cana-2147	63	14	.	.	PUNCT
cana-2147	64	1	audio	audio	ADJ
cana-2147	64	2	data	datum	NOUN
cana-2147	64	3	is	be	AUX
cana-2147	64	4	obtained	obtain	VERB
cana-2147	64	5	through	through	ADP
cana-2147	64	6	microphones	microphone	NOUN
cana-2147	64	7	or	or	CCONJ
cana-2147	64	8	audio	audio	ADJ
cana-2147	64	9	recordings	recording	NOUN
cana-2147	64	10	.	.	PUNCT
cana-2147	65	1	textual	textual	ADJ
cana-2147	65	2	data	datum	NOUN
cana-2147	65	3	can	can	AUX
cana-2147	65	4	be	be	AUX
cana-2147	65	5	derived	derive	VERB
cana-2147	65	6	from	from	ADP
cana-2147	65	7	user	user	NOUN
cana-2147	65	8	inputs	input	NOUN
cana-2147	65	9	,	,	PUNCT
cana-2147	65	10	social	social	ADJ
cana-2147	65	11	media	medium	NOUN
cana-2147	65	12	posts	post	NOUN
cana-2147	65	13	,	,	PUNCT
cana-2147	65	14	or	or	CCONJ
cana-2147	65	15	other	other	ADJ
cana-2147	65	16	relevant	relevant	ADJ
cana-2147	65	17	sources	source	NOUN
cana-2147	65	18	.	.	PUNCT
cana-2147	66	1	data	datum	NOUN
cana-2147	66	2	preprocessing	preprocessing	NOUN
cana-2147	66	3	:	:	PUNCT
cana-2147	66	4	prior	prior	ADV
cana-2147	66	5	to	to	ADP
cana-2147	66	6	analysis	analysis	NOUN
cana-2147	66	7	,	,	PUNCT
cana-2147	66	8	the	the	DET
cana-2147	66	9	collected	collect	VERB
cana-2147	66	10	data	data	NOUN
cana-2147	66	11	undergoes	undergo	VERB
cana-2147	66	12	rigorous	rigorous	ADJ
cana-2147	66	13	preprocessing	preprocessing	NOUN
cana-2147	66	14	.	.	PUNCT
cana-2147	67	1	image	image	NOUN
cana-2147	67	2	and	and	CCONJ
cana-2147	67	3	video	video	NOUN
cana-2147	67	4	data	datum	NOUN
cana-2147	67	5	are	be	AUX
cana-2147	67	6	subjected	subject	VERB
cana-2147	67	7	to	to	PART
cana-2147	67	8	face	face	VERB
cana-2147	67	9	detection	detection	NOUN
cana-2147	67	10	and	and	CCONJ
cana-2147	67	11	facial	facial	ADJ
cana-2147	67	12	landmark	landmark	NOUN
cana-2147	67	13	extraction	extraction	NOUN
cana-2147	67	14	to	to	PART
cana-2147	67	15	isolate	isolate	VERB
cana-2147	67	16	relevant	relevant	ADJ
cana-2147	67	17	regions	region	NOUN
cana-2147	67	18	of	of	ADP
cana-2147	67	19	interest	interest	NOUN
cana-2147	67	20	.	.	PUNCT
cana-2147	68	1	audio	audio	ADJ
cana-2147	68	2	data	datum	NOUN
cana-2147	68	3	is	be	AUX
cana-2147	68	4	segmented	segment	VERB
cana-2147	68	5	into	into	ADP
cana-2147	68	6	overlapping	overlap	VERB
cana-2147	68	7	frames	frame	NOUN
cana-2147	68	8	and	and	CCONJ
cana-2147	68	9	converted	convert	VERB
cana-2147	68	10	into	into	ADP
cana-2147	68	11	spectrograms	spectrogram	NOUN
cana-2147	68	12	for	for	ADP
cana-2147	68	13	feature	feature	NOUN
cana-2147	68	14	extraction	extraction	NOUN
cana-2147	68	15	.	.	PUNCT
cana-2147	69	1	textual	textual	ADJ
cana-2147	69	2	data	datum	NOUN
cana-2147	69	3	is	be	AUX
cana-2147	69	4	cleaned	clean	VERB
cana-2147	69	5	,	,	PUNCT
cana-2147	69	6	tokenized	tokenized	ADJ
cana-2147	69	7	,	,	PUNCT
cana-2147	69	8	and	and	CCONJ
cana-2147	69	9	converted	convert	VERB
cana-2147	69	10	into	into	ADP
cana-2147	69	11	numerical	numerical	ADJ
cana-2147	69	12	representations	representation	NOUN
cana-2147	69	13	suitable	suitable	ADJ
cana-2147	69	14	for	for	ADP
cana-2147	69	15	machine	machine	NOUN
cana-2147	69	16	learning	learning	NOUN
cana-2147	69	17	models	model	NOUN
cana-2147	69	18	.	.	PUNCT
cana-2147	70	1	feature	feature	NOUN
cana-2147	70	2	extraction	extraction	NOUN
cana-2147	70	3	image	image	NOUN
cana-2147	70	4	and	and	CCONJ
cana-2147	70	5	video	video	NOUN
cana-2147	70	6	features	feature	NOUN
cana-2147	70	7	:	:	PUNCT
cana-2147	70	8	to	to	PART
cana-2147	70	9	capture	capture	VERB
cana-2147	70	10	facial	facial	ADJ
cana-2147	70	11	expressions	expression	NOUN
cana-2147	70	12	and	and	CCONJ
cana-2147	70	13	body	body	NOUN
cana-2147	70	14	language	language	NOUN
cana-2147	70	15	,	,	PUNCT
cana-2147	70	16	we	we	PRON
cana-2147	70	17	extract	extract	VERB
cana-2147	70	18	features	feature	NOUN
cana-2147	70	19	such	such	ADJ
cana-2147	70	20	as	as	ADP
cana-2147	70	21	facial	facial	ADJ
cana-2147	70	22	landmarks	landmark	NOUN
cana-2147	70	23	,	,	PUNCT
cana-2147	70	24	facial	facial	ADJ
cana-2147	70	25	action	action	NOUN
cana-2147	70	26	units	unit	NOUN
cana-2147	70	27	(	(	PUNCT
cana-2147	70	28	faus	faus	PROPN
cana-2147	70	29	)	)	PUNCT
cana-2147	70	30	,	,	PUNCT
cana-2147	70	31	and	and	CCONJ
cana-2147	70	32	optical	optical	ADJ
cana-2147	70	33	flow	flow	NOUN
cana-2147	70	34	.	.	PUNCT
cana-2147	71	1	these	these	DET
cana-2147	71	2	features	feature	NOUN
cana-2147	71	3	are	be	AUX
cana-2147	71	4	essential	essential	ADJ
cana-2147	71	5	for	for	ADP
cana-2147	71	6	recognizing	recognize	VERB
cana-2147	71	7	emotions	emotion	NOUN
cana-2147	71	8	like	like	ADP
cana-2147	71	9	happiness	happiness	NOUN
cana-2147	71	10	,	,	PUNCT
cana-2147	71	11	sadness	sadness	NOUN
cana-2147	71	12	,	,	PUNCT
cana-2147	71	13	anger	anger	NOUN
cana-2147	71	14	,	,	PUNCT
cana-2147	71	15	and	and	CCONJ
cana-2147	71	16	fear	fear	NOUN
cana-2147	71	17	.	.	PUNCT
cana-2147	72	1	audio	audio	ADJ
cana-2147	72	2	features	feature	NOUN
cana-2147	72	3	:	:	PUNCT
cana-2147	72	4	mel	mel	NOUN
cana-2147	72	5	-	-	PUNCT
cana-2147	72	6	frequency	frequency	ADJ
cana-2147	72	7	cepstral	cepstral	ADJ
cana-2147	72	8	coefficients	coefficient	NOUN
cana-2147	72	9	(	(	PUNCT
cana-2147	72	10	mfccs	mfccs	NOUN
cana-2147	72	11	)	)	PUNCT
cana-2147	72	12	,	,	PUNCT
cana-2147	72	13	pitch	pitch	NOUN
cana-2147	72	14	,	,	PUNCT
cana-2147	72	15	and	and	CCONJ
cana-2147	72	16	intensity	intensity	NOUN
cana-2147	72	17	are	be	AUX
cana-2147	72	18	extracted	extract	VERB
cana-2147	72	19	from	from	ADP
cana-2147	72	20	audio	audio	ADJ
cana-2147	72	21	signals	signal	NOUN
cana-2147	72	22	to	to	PART
cana-2147	72	23	represent	represent	VERB
cana-2147	72	24	vocal	vocal	ADJ
cana-2147	72	25	characteristics	characteristic	NOUN
cana-2147	72	26	associated	associate	VERB
cana-2147	72	27	with	with	ADP
cana-2147	72	28	different	different	ADJ
cana-2147	72	29	emotions	emotion	NOUN
cana-2147	72	30	.	.	PUNCT
cana-2147	73	1	textual	textual	ADJ
cana-2147	73	2	features	feature	NOUN
cana-2147	73	3	:	:	PUNCT
cana-2147	73	4	natural	natural	ADJ
cana-2147	73	5	language	language	NOUN
cana-2147	73	6	processing	processing	NOUN
cana-2147	73	7	(	(	PUNCT
cana-2147	73	8	nlp	nlp	NOUN
cana-2147	73	9	)	)	PUNCT
cana-2147	73	10	techniques	technique	NOUN
cana-2147	73	11	are	be	AUX
cana-2147	73	12	employed	employ	VERB
cana-2147	73	13	to	to	PART
cana-2147	73	14	extract	extract	VERB
cana-2147	73	15	semantic	semantic	ADJ
cana-2147	73	16	and	and	CCONJ
cana-2147	73	17	syntactic	syntactic	ADJ
cana-2147	73	18	features	feature	NOUN
cana-2147	73	19	from	from	ADP
cana-2147	73	20	textual	textual	ADJ
cana-2147	73	21	data	datum	NOUN
cana-2147	73	22	.	.	PUNCT
cana-2147	74	1	word	word	NOUN
cana-2147	74	2	embeddings	embedding	NOUN
cana-2147	74	3	,	,	PUNCT
cana-2147	74	4	sentiment	sentiment	NOUN
cana-2147	74	5	analysis	analysis	NOUN
cana-2147	74	6	,	,	PUNCT
cana-2147	74	7	and	and	CCONJ
cana-2147	74	8	topic	topic	NOUN
cana-2147	74	9	modelling	modelling	NOUN
cana-2147	74	10	are	be	AUX
cana-2147	74	11	utilized	utilize	VERB
cana-2147	74	12	to	to	PART
cana-2147	74	13	capture	capture	VERB
cana-2147	74	14	the	the	DET
cana-2147	74	15	emotional	emotional	ADJ
cana-2147	74	16	content	content	NOUN
cana-2147	74	17	of	of	ADP
cana-2147	74	18	the	the	DET
cana-2147	74	19	text	text	NOUN
cana-2147	74	20	.	.	PUNCT
cana-2147	75	1	communications	communication	NOUN
cana-2147	75	2	on	on	ADP
cana-2147	75	3	applied	apply	VERB
cana-2147	75	4	nonlinear	nonlinear	ADJ
cana-2147	75	5	analysis	analysis	NOUN
cana-2147	75	6	issn	issn	NOUN
cana-2147	75	7	:	:	PUNCT
cana-2147	75	8	1074	1074	NUM
cana-2147	75	9	-	-	PUNCT
cana-2147	75	10	133x	133x	NUM
cana-2147	75	11	vol	vol	NOUN
cana-2147	75	12	32	32	NUM
cana-2147	75	13	no	no	NOUN
cana-2147	75	14	.	.	PUNCT
cana-2147	76	1	1s	1s	NUM
cana-2147	76	2	(	(	PUNCT
cana-2147	76	3	2025	2025	NUM
cana-2147	76	4	)	)	PUNCT
cana-2147	76	5	185	185	NUM
cana-2147	76	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2147	76	7	model	model	NOUN
cana-2147	76	8	development	development	NOUN
cana-2147	76	9	and	and	CCONJ
cana-2147	76	10	training	train	VERB
cana-2147	76	11	deep	deep	ADJ
cana-2147	76	12	learning	learning	NOUN
cana-2147	76	13	architectures	architecture	NOUN
cana-2147	76	14	:	:	PUNCT
cana-2147	76	15	•	•	NUM
cana-2147	76	16	image	image	NOUN
cana-2147	76	17	and	and	CCONJ
cana-2147	76	18	video	video	NOUN
cana-2147	76	19	:	:	PUNCT
cana-2147	76	20	convolutional	convolutional	ADJ
cana-2147	76	21	neural	neural	ADJ
cana-2147	76	22	networks	network	NOUN
cana-2147	76	23	(	(	PUNCT
cana-2147	76	24	cnns	cnns	PROPN
cana-2147	76	25	)	)	PUNCT
cana-2147	76	26	are	be	AUX
cana-2147	76	27	employed	employ	VERB
cana-2147	76	28	for	for	ADP
cana-2147	76	29	feature	feature	NOUN
cana-2147	76	30	extraction	extraction	NOUN
cana-2147	76	31	and	and	CCONJ
cana-2147	76	32	classification	classification	NOUN
cana-2147	76	33	of	of	ADP
cana-2147	76	34	facial	facial	ADJ
cana-2147	76	35	expressions	expression	NOUN
cana-2147	76	36	and	and	CCONJ
cana-2147	76	37	body	body	NOUN
cana-2147	76	38	language	language	NOUN
cana-2147	76	39	.	.	PUNCT
cana-2147	77	1	•	•	X
cana-2147	77	2	audio	audio	NOUN
cana-2147	77	3	:	:	PUNCT
cana-2147	77	4	recurrent	recurrent	ADJ
cana-2147	77	5	neural	neural	ADJ
cana-2147	77	6	networks	network	NOUN
cana-2147	77	7	(	(	PUNCT
cana-2147	77	8	rnns	rnns	PROPN
cana-2147	77	9	)	)	PUNCT
cana-2147	77	10	or	or	CCONJ
cana-2147	77	11	convolutional	convolutional	ADJ
cana-2147	77	12	neural	neural	ADJ
cana-2147	77	13	networks	network	NOUN
cana-2147	77	14	(	(	PUNCT
cana-2147	77	15	cnns	cnns	PROPN
cana-2147	77	16	)	)	PUNCT
cana-2147	77	17	are	be	AUX
cana-2147	77	18	used	use	VERB
cana-2147	77	19	for	for	ADP
cana-2147	77	20	processing	process	VERB
cana-2147	77	21	audio	audio	ADJ
cana-2147	77	22	spectrograms	spectrogram	NOUN
cana-2147	77	23	and	and	CCONJ
cana-2147	77	24	classifying	classify	VERB
cana-2147	77	25	emotions	emotion	NOUN
cana-2147	77	26	based	base	VERB
cana-2147	77	27	on	on	ADP
cana-2147	77	28	vocal	vocal	ADJ
cana-2147	77	29	characteristics	characteristic	NOUN
cana-2147	77	30	.	.	PUNCT
cana-2147	78	1	•	•	NUM
cana-2147	78	2	text	text	NOUN
cana-2147	78	3	:	:	PUNCT
cana-2147	78	4	recurrent	recurrent	ADJ
cana-2147	78	5	neural	neural	ADJ
cana-2147	78	6	networks	network	NOUN
cana-2147	78	7	(	(	PUNCT
cana-2147	78	8	rnns	rnns	PROPN
cana-2147	78	9	)	)	PUNCT
cana-2147	78	10	,	,	PUNCT
cana-2147	78	11	long	long	ADJ
cana-2147	78	12	short	short	ADJ
cana-2147	78	13	-	-	PUNCT
cana-2147	78	14	term	term	NOUN
cana-2147	78	15	memory	memory	NOUN
cana-2147	78	16	(	(	PUNCT
cana-2147	78	17	lstm	lstm	NOUN
cana-2147	78	18	)	)	PUNCT
cana-2147	78	19	,	,	PUNCT
cana-2147	78	20	or	or	CCONJ
cana-2147	78	21	transformer	transformer	NOUN
cana-2147	78	22	-	-	PUNCT
cana-2147	78	23	based	base	VERB
cana-2147	78	24	models	model	NOUN
cana-2147	78	25	are	be	AUX
cana-2147	78	26	utilized	utilize	VERB
cana-2147	78	27	for	for	ADP
cana-2147	78	28	text	text	NOUN
cana-2147	78	29	classification	classification	NOUN
cana-2147	78	30	,	,	PUNCT
cana-2147	78	31	capturing	capture	VERB
cana-2147	78	32	the	the	DET
cana-2147	78	33	emotional	emotional	ADJ
cana-2147	78	34	context	context	NOUN
cana-2147	78	35	of	of	ADP
cana-2147	78	36	the	the	DET
cana-2147	78	37	text	text	NOUN
cana-2147	78	38	.	.	PUNCT
cana-2147	79	1	model	model	NOUN
cana-2147	79	2	training	training	NOUN
cana-2147	79	3	:	:	PUNCT
cana-2147	79	4	the	the	DET
cana-2147	79	5	models	model	NOUN
cana-2147	79	6	are	be	AUX
cana-2147	79	7	trained	train	VERB
cana-2147	79	8	on	on	ADP
cana-2147	79	9	large	large	ADJ
cana-2147	79	10	-	-	PUNCT
cana-2147	79	11	scale	scale	NOUN
cana-2147	79	12	datasets	dataset	NOUN
cana-2147	79	13	containing	contain	VERB
cana-2147	79	14	labeled	label	VERB
cana-2147	79	15	emotional	emotional	ADJ
cana-2147	79	16	data	datum	NOUN
cana-2147	79	17	.	.	PUNCT
cana-2147	80	1	transfer	transfer	NOUN
cana-2147	80	2	learning	learning	NOUN
cana-2147	80	3	is	be	AUX
cana-2147	80	4	employed	employ	VERB
cana-2147	80	5	to	to	PART
cana-2147	80	6	leverage	leverage	VERB
cana-2147	80	7	pre	pre	ADJ
cana-2147	80	8	-	-	ADJ
cana-2147	80	9	trained	train	VERB
cana-2147	80	10	models	model	NOUN
cana-2147	80	11	and	and	CCONJ
cana-2147	80	12	improve	improve	VERB
cana-2147	80	13	performance	performance	NOUN
cana-2147	80	14	.	.	PUNCT
cana-2147	81	1	data	datum	NOUN
cana-2147	81	2	augmentation	augmentation	NOUN
cana-2147	81	3	techniques	technique	NOUN
cana-2147	81	4	are	be	AUX
cana-2147	81	5	used	use	VERB
cana-2147	81	6	to	to	PART
cana-2147	81	7	enhance	enhance	VERB
cana-2147	81	8	model	model	NOUN
cana-2147	81	9	robustness	robustness	NOUN
cana-2147	81	10	and	and	CCONJ
cana-2147	81	11	generalization	generalization	NOUN
cana-2147	81	12	.	.	PUNCT
cana-2147	82	1	multimodal	multimodal	ADJ
cana-2147	82	2	fusion	fusion	NOUN
cana-2147	82	3	:	:	PUNCT
cana-2147	82	4	to	to	PART
cana-2147	82	5	combine	combine	VERB
cana-2147	82	6	the	the	DET
cana-2147	82	7	predictions	prediction	NOUN
cana-2147	82	8	from	from	ADP
cana-2147	82	9	different	different	ADJ
cana-2147	82	10	modalities	modality	NOUN
cana-2147	82	11	,	,	PUNCT
cana-2147	82	12	a	a	DET
cana-2147	82	13	fusion	fusion	NOUN
cana-2147	82	14	approach	approach	NOUN
cana-2147	82	15	is	be	AUX
cana-2147	82	16	adopted	adopt	VERB
cana-2147	82	17	.	.	PUNCT
cana-2147	83	1	early	early	ADJ
cana-2147	83	2	fusion	fusion	NOUN
cana-2147	83	3	,	,	PUNCT
cana-2147	83	4	late	late	ADJ
cana-2147	83	5	fusion	fusion	NOUN
cana-2147	83	6	,	,	PUNCT
cana-2147	83	7	or	or	CCONJ
cana-2147	83	8	a	a	DET
cana-2147	83	9	hybrid	hybrid	ADJ
cana-2147	83	10	approach	approach	NOUN
cana-2147	83	11	can	can	AUX
cana-2147	83	12	be	be	AUX
cana-2147	83	13	explored	explore	VERB
cana-2147	83	14	based	base	VERB
cana-2147	83	15	on	on	ADP
cana-2147	83	16	the	the	DET
cana-2147	83	17	specific	specific	ADJ
cana-2147	83	18	application	application	NOUN
cana-2147	83	19	and	and	CCONJ
cana-2147	83	20	performance	performance	NOUN
cana-2147	83	21	evaluation	evaluation	NOUN
cana-2147	83	22	.	.	PUNCT
cana-2147	84	1	emotion	emotion	NOUN
cana-2147	84	2	recognition	recognition	NOUN
cana-2147	84	3	and	and	CCONJ
cana-2147	84	4	analysis	analysis	NOUN
cana-2147	84	5	the	the	DET
cana-2147	84	6	trained	train	VERB
cana-2147	84	7	models	model	NOUN
cana-2147	84	8	are	be	AUX
cana-2147	84	9	applied	apply	VERB
cana-2147	84	10	to	to	ADP
cana-2147	84	11	real	real	ADJ
cana-2147	84	12	-	-	PUNCT
cana-2147	84	13	time	time	NOUN
cana-2147	84	14	or	or	CCONJ
cana-2147	84	15	stored	store	VERB
cana-2147	84	16	data	datum	NOUN
cana-2147	84	17	to	to	PART
cana-2147	84	18	predict	predict	VERB
cana-2147	84	19	emotions	emotion	NOUN
cana-2147	84	20	.	.	PUNCT
cana-2147	85	1	the	the	DET
cana-2147	85	2	system	system	NOUN
cana-2147	85	3	continuously	continuously	ADV
cana-2147	85	4	monitors	monitor	VERB
cana-2147	85	5	the	the	DET
cana-2147	85	6	emotional	emotional	ADJ
cana-2147	85	7	state	state	NOUN
cana-2147	85	8	of	of	ADP
cana-2147	85	9	the	the	DET
cana-2147	85	10	user	user	NOUN
cana-2147	85	11	by	by	ADP
cana-2147	85	12	analyzing	analyze	VERB
cana-2147	85	13	the	the	DET
cana-2147	85	14	incoming	incoming	ADJ
cana-2147	85	15	multimodal	multimodal	NOUN
cana-2147	85	16	data	datum	NOUN
cana-2147	85	17	.	.	PUNCT
cana-2147	86	1	emotion	emotion	NOUN
cana-2147	86	2	labels	label	NOUN
cana-2147	86	3	are	be	AUX
cana-2147	86	4	generated	generate	VERB
cana-2147	86	5	for	for	ADP
cana-2147	86	6	each	each	DET
cana-2147	86	7	modality	modality	NOUN
cana-2147	86	8	,	,	PUNCT
cana-2147	86	9	and	and	CCONJ
cana-2147	86	10	these	these	DET
cana-2147	86	11	predictions	prediction	NOUN
cana-2147	86	12	are	be	AUX
cana-2147	86	13	fused	fuse	VERB
cana-2147	86	14	to	to	PART
cana-2147	86	15	obtain	obtain	VERB
cana-2147	86	16	a	a	DET
cana-2147	86	17	final	final	ADJ
cana-2147	86	18	emotion	emotion	NOUN
cana-2147	86	19	prediction	prediction	NOUN
cana-2147	86	20	.	.	PUNCT
cana-2147	87	1	time	time	NOUN
cana-2147	87	2	-	-	PUNCT
cana-2147	87	3	series	series	NOUN
cana-2147	87	4	analysis	analysis	NOUN
cana-2147	87	5	is	be	AUX
cana-2147	87	6	conducted	conduct	VERB
cana-2147	87	7	on	on	ADP
cana-2147	87	8	the	the	DET
cana-2147	87	9	predicted	predict	VERB
cana-2147	87	10	emotions	emotion	NOUN
cana-2147	87	11	to	to	PART
cana-2147	87	12	identify	identify	VERB
cana-2147	87	13	patterns	pattern	NOUN
cana-2147	87	14	,	,	PUNCT
cana-2147	87	15	trends	trend	NOUN
cana-2147	87	16	,	,	PUNCT
cana-2147	87	17	and	and	CCONJ
cana-2147	87	18	anomalies	anomaly	NOUN
cana-2147	87	19	.	.	PUNCT
cana-2147	88	1	statistical	statistical	ADJ
cana-2147	88	2	methods	method	NOUN
cana-2147	88	3	and	and	CCONJ
cana-2147	88	4	machine	machine	NOUN
cana-2147	88	5	learning	learn	VERB
cana-2147	88	6	algorithms	algorithm	NOUN
cana-2147	88	7	are	be	AUX
cana-2147	88	8	employed	employ	VERB
cana-2147	88	9	to	to	PART
cana-2147	88	10	detect	detect	VERB
cana-2147	88	11	significant	significant	ADJ
cana-2147	88	12	changes	change	NOUN
cana-2147	88	13	in	in	ADP
cana-2147	88	14	emotional	emotional	ADJ
cana-2147	88	15	states	state	NOUN
cana-2147	88	16	.	.	PUNCT
cana-2147	89	1	well	well	ADV
cana-2147	89	2	-	-	PUNCT
cana-2147	89	3	being	being	NOUN
cana-2147	89	4	assessment	assessment	NOUN
cana-2147	89	5	and	and	CCONJ
cana-2147	89	6	risk	risk	NOUN
cana-2147	89	7	prediction	prediction	NOUN
cana-2147	89	8	based	base	VERB
cana-2147	89	9	on	on	ADP
cana-2147	89	10	the	the	DET
cana-2147	89	11	analyzed	analyze	VERB
cana-2147	89	12	emotional	emotional	ADJ
cana-2147	89	13	data	datum	NOUN
cana-2147	89	14	,	,	PUNCT
cana-2147	89	15	a	a	DET
cana-2147	89	16	well	well	ADV
cana-2147	89	17	-	-	PUNCT
cana-2147	89	18	being	being	NOUN
cana-2147	89	19	score	score	NOUN
cana-2147	89	20	is	be	AUX
cana-2147	89	21	calculated	calculate	VERB
cana-2147	89	22	.	.	PUNCT
cana-2147	90	1	this	this	DET
cana-2147	90	2	score	score	NOUN
cana-2147	90	3	reflects	reflect	VERB
cana-2147	90	4	the	the	DET
cana-2147	90	5	overall	overall	ADJ
cana-2147	90	6	emotional	emotional	ADJ
cana-2147	90	7	state	state	NOUN
cana-2147	90	8	of	of	ADP
cana-2147	90	9	the	the	DET
cana-2147	90	10	user	user	NOUN
cana-2147	90	11	and	and	CCONJ
cana-2147	90	12	can	can	AUX
cana-2147	90	13	be	be	AUX
cana-2147	90	14	used	use	VERB
cana-2147	90	15	to	to	PART
cana-2147	90	16	monitor	monitor	VERB
cana-2147	90	17	changes	change	NOUN
cana-2147	90	18	in	in	ADP
cana-2147	90	19	well	well	ADV
cana-2147	90	20	-	-	PUNCT
cana-2147	90	21	being	being	NOUN
cana-2147	90	22	over	over	ADP
cana-2147	90	23	time	time	NOUN
cana-2147	90	24	.	.	PUNCT
cana-2147	91	1	to	to	PART
cana-2147	91	2	assess	assess	VERB
cana-2147	91	3	suicide	suicide	NOUN
cana-2147	91	4	risk	risk	NOUN
cana-2147	91	5	,	,	PUNCT
cana-2147	91	6	additional	additional	ADJ
cana-2147	91	7	features	feature	NOUN
cana-2147	91	8	such	such	ADJ
cana-2147	91	9	as	as	ADP
cana-2147	91	10	social	social	ADJ
cana-2147	91	11	isolation	isolation	NOUN
cana-2147	91	12	,	,	PUNCT
cana-2147	91	13	sleep	sleep	NOUN
cana-2147	91	14	patterns	pattern	NOUN
cana-2147	91	15	,	,	PUNCT
cana-2147	91	16	and	and	CCONJ
cana-2147	91	17	behavioral	behavioral	ADJ
cana-2147	91	18	changes	change	NOUN
cana-2147	91	19	can	can	AUX
cana-2147	91	20	be	be	AUX
cana-2147	91	21	incorporated	incorporate	VERB
cana-2147	91	22	.	.	PUNCT
cana-2147	92	1	machine	machine	NOUN
cana-2147	92	2	learning	learning	NOUN
cana-2147	92	3	models	model	NOUN
cana-2147	92	4	are	be	AUX
cana-2147	92	5	trained	train	VERB
cana-2147	92	6	to	to	PART
cana-2147	92	7	predict	predict	VERB
cana-2147	92	8	the	the	DET
cana-2147	92	9	likelihood	likelihood	NOUN
cana-2147	92	10	of	of	ADP
cana-2147	92	11	suicide	suicide	NOUN
cana-2147	92	12	risk	risk	NOUN
cana-2147	92	13	based	base	VERB
cana-2147	92	14	on	on	ADP
cana-2147	92	15	these	these	DET
cana-2147	92	16	features	feature	NOUN
cana-2147	92	17	and	and	CCONJ
cana-2147	92	18	the	the	DET
cana-2147	92	19	emotional	emotional	ADJ
cana-2147	92	20	state	state	NOUN
cana-2147	92	21	of	of	ADP
cana-2147	92	22	the	the	DET
cana-2147	92	23	user	user	NOUN
cana-2147	92	24	.	.	PUNCT
cana-2147	93	1	a.	a.	NOUN
cana-2147	93	2	novelty	novelty	NOUN
cana-2147	93	3	of	of	ADP
cana-2147	93	4	the	the	DET
cana-2147	93	5	research	research	NOUN
cana-2147	93	6	the	the	DET
cana-2147	93	7	novelty	novelty	NOUN
cana-2147	93	8	of	of	ADP
cana-2147	93	9	this	this	DET
cana-2147	93	10	research	research	NOUN
cana-2147	93	11	lies	lie	VERB
cana-2147	93	12	in	in	ADP
cana-2147	93	13	its	its	PRON
cana-2147	93	14	comprehensive	comprehensive	ADJ
cana-2147	93	15	and	and	CCONJ
cana-2147	93	16	integrated	integrated	ADJ
cana-2147	93	17	approach	approach	NOUN
cana-2147	93	18	to	to	ADP
cana-2147	93	19	emotion	emotion	NOUN
cana-2147	93	20	recognition	recognition	NOUN
cana-2147	93	21	and	and	CCONJ
cana-2147	93	22	analysis	analysis	NOUN
cana-2147	93	23	for	for	ADP
cana-2147	93	24	well	well	ADV
cana-2147	93	25	-	-	PUNCT
cana-2147	93	26	being	being	NOUN
cana-2147	93	27	and	and	CCONJ
cana-2147	93	28	suicide	suicide	NOUN
cana-2147	93	29	risk	risk	NOUN
cana-2147	93	30	assessment	assessment	NOUN
cana-2147	93	31	.	.	PUNCT
cana-2147	94	1	while	while	SCONJ
cana-2147	94	2	previous	previous	ADJ
cana-2147	94	3	research	research	NOUN
cana-2147	94	4	has	have	AUX
cana-2147	94	5	explored	explore	VERB
cana-2147	94	6	individual	individual	ADJ
cana-2147	94	7	modalities	modality	NOUN
cana-2147	94	8	(	(	PUNCT
cana-2147	94	9	image	image	NOUN
cana-2147	94	10	,	,	PUNCT
cana-2147	94	11	audio	audio	NOUN
cana-2147	94	12	,	,	PUNCT
cana-2147	94	13	text	text	NOUN
cana-2147	94	14	)	)	PUNCT
cana-2147	94	15	for	for	ADP
cana-2147	94	16	emotion	emotion	NOUN
cana-2147	94	17	recognition	recognition	NOUN
cana-2147	94	18	,	,	PUNCT
cana-2147	94	19	this	this	DET
cana-2147	94	20	research	research	NOUN
cana-2147	94	21	distinguishes	distinguish	VERB
cana-2147	94	22	itself	itself	PRON
cana-2147	94	23	by	by	ADP
cana-2147	94	24	combining	combine	VERB
cana-2147	94	25	multiple	multiple	ADJ
cana-2147	94	26	modalities	modality	NOUN
cana-2147	94	27	to	to	PART
cana-2147	94	28	create	create	VERB
cana-2147	94	29	a	a	DET
cana-2147	94	30	more	more	ADV
cana-2147	94	31	robust	robust	ADJ
cana-2147	94	32	and	and	CCONJ
cana-2147	94	33	accurate	accurate	ADJ
cana-2147	94	34	system	system	NOUN
cana-2147	94	35	.	.	PUNCT
cana-2147	95	1	moreover	moreover	ADV
cana-2147	95	2	,	,	PUNCT
cana-2147	95	3	the	the	DET
cana-2147	95	4	focus	focus	NOUN
cana-2147	95	5	on	on	ADP
cana-2147	95	6	real	real	ADJ
cana-2147	95	7	-	-	PUNCT
cana-2147	95	8	time	time	NOUN
cana-2147	95	9	analysis	analysis	NOUN
cana-2147	95	10	and	and	CCONJ
cana-2147	95	11	continuous	continuous	ADJ
cana-2147	95	12	monitoring	monitoring	NOUN
cana-2147	95	13	of	of	ADP
cana-2147	95	14	emotional	emotional	ADJ
cana-2147	95	15	states	state	NOUN
cana-2147	95	16	is	be	AUX
cana-2147	95	17	a	a	DET
cana-2147	95	18	significant	significant	ADJ
cana-2147	95	19	advancement	advancement	NOUN
cana-2147	95	20	over	over	ADP
cana-2147	95	21	traditional	traditional	ADJ
cana-2147	95	22	methods	method	NOUN
cana-2147	95	23	.	.	PUNCT
cana-2147	96	1	by	by	ADP
cana-2147	96	2	leveraging	leverage	VERB
cana-2147	96	3	deep	deep	ADJ
cana-2147	96	4	learning	learning	NOUN
cana-2147	96	5	techniques	technique	NOUN
cana-2147	96	6	and	and	CCONJ
cana-2147	96	7	communications	communication	NOUN
cana-2147	96	8	on	on	ADP
cana-2147	96	9	applied	apply	VERB
cana-2147	96	10	nonlinear	nonlinear	ADJ
cana-2147	96	11	analysis	analysis	NOUN
cana-2147	96	12	issn	issn	NOUN
cana-2147	96	13	:	:	PUNCT
cana-2147	96	14	1074	1074	NUM
cana-2147	96	15	-	-	PUNCT
cana-2147	96	16	133x	133x	NUM
cana-2147	96	17	vol	vol	NOUN
cana-2147	96	18	32	32	NUM
cana-2147	96	19	no	no	NOUN
cana-2147	96	20	.	.	PUNCT
cana-2147	97	1	1s	1s	NUM
cana-2147	97	2	(	(	PUNCT
cana-2147	97	3	2025	2025	NUM
cana-2147	97	4	)	)	PUNCT
cana-2147	97	5	186	186	NUM
cana-2147	97	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2147	97	7	advanced	advanced	ADJ
cana-2147	97	8	feature	feature	NOUN
cana-2147	97	9	extraction	extraction	NOUN
cana-2147	97	10	methods	method	NOUN
cana-2147	97	11	,	,	PUNCT
cana-2147	97	12	the	the	DET
cana-2147	97	13	research	research	NOUN
cana-2147	97	14	aims	aim	VERB
cana-2147	97	15	to	to	PART
cana-2147	97	16	achieve	achieve	VERB
cana-2147	97	17	higher	high	ADJ
cana-2147	97	18	accuracy	accuracy	NOUN
cana-2147	97	19	and	and	CCONJ
cana-2147	97	20	sensitivity	sensitivity	NOUN
cana-2147	97	21	in	in	ADP
cana-2147	97	22	emotion	emotion	NOUN
cana-2147	97	23	detection	detection	NOUN
cana-2147	97	24	compared	compare	VERB
cana-2147	97	25	to	to	ADP
cana-2147	97	26	existing	exist	VERB
cana-2147	97	27	approaches	approach	NOUN
cana-2147	97	28	.	.	PUNCT
cana-2147	98	1	the	the	DET
cana-2147	98	2	incorporation	incorporation	NOUN
cana-2147	98	3	of	of	ADP
cana-2147	98	4	well	well	ADV
cana-2147	98	5	-	-	PUNCT
cana-2147	98	6	being	being	NOUN
cana-2147	98	7	assessment	assessment	NOUN
cana-2147	98	8	and	and	CCONJ
cana-2147	98	9	suicide	suicide	NOUN
cana-2147	98	10	risk	risk	NOUN
cana-2147	98	11	prediction	prediction	NOUN
cana-2147	98	12	based	base	VERB
cana-2147	98	13	on	on	ADP
cana-2147	98	14	the	the	DET
cana-2147	98	15	analysis	analysis	NOUN
cana-2147	98	16	of	of	ADP
cana-2147	98	17	emotional	emotional	ADJ
cana-2147	98	18	patterns	pattern	NOUN
cana-2147	98	19	is	be	AUX
cana-2147	98	20	another	another	DET
cana-2147	98	21	novel	novel	ADJ
cana-2147	98	22	aspect	aspect	NOUN
cana-2147	98	23	of	of	ADP
cana-2147	98	24	this	this	DET
cana-2147	98	25	research	research	NOUN
cana-2147	98	26	.	.	PUNCT
cana-2147	99	1	by	by	ADP
cana-2147	99	2	identifying	identify	VERB
cana-2147	99	3	trends	trend	NOUN
cana-2147	99	4	,	,	PUNCT
cana-2147	99	5	anomalies	anomaly	NOUN
cana-2147	99	6	,	,	PUNCT
cana-2147	99	7	and	and	CCONJ
cana-2147	99	8	potential	potential	ADJ
cana-2147	99	9	risk	risk	NOUN
cana-2147	99	10	factors	factor	NOUN
cana-2147	99	11	,	,	PUNCT
cana-2147	99	12	the	the	DET
cana-2147	99	13	system	system	NOUN
cana-2147	99	14	offers	offer	VERB
cana-2147	99	15	a	a	DET
cana-2147	99	16	proactive	proactive	ADJ
cana-2147	99	17	approach	approach	NOUN
cana-2147	99	18	to	to	ADP
cana-2147	99	19	mental	mental	ADJ
cana-2147	99	20	health	health	NOUN
cana-2147	99	21	care	care	NOUN
cana-2147	99	22	.	.	PUNCT
cana-2147	100	1	additionally	additionally	ADV
cana-2147	100	2	,	,	PUNCT
cana-2147	100	3	the	the	DET
cana-2147	100	4	development	development	NOUN
cana-2147	100	5	of	of	ADP
cana-2147	100	6	personalized	personalized	ADJ
cana-2147	100	7	recommendations	recommendation	NOUN
cana-2147	100	8	based	base	VERB
cana-2147	100	9	on	on	ADP
cana-2147	100	10	individual	individual	ADJ
cana-2147	100	11	emotional	emotional	ADJ
cana-2147	100	12	profiles	profile	NOUN
cana-2147	100	13	represents	represent	VERB
cana-2147	100	14	a	a	DET
cana-2147	100	15	significant	significant	ADJ
cana-2147	100	16	contribution	contribution	NOUN
cana-2147	100	17	to	to	ADP
cana-2147	100	18	the	the	DET
cana-2147	100	19	field	field	NOUN
cana-2147	100	20	of	of	ADP
cana-2147	100	21	mental	mental	ADJ
cana-2147	100	22	health	health	NOUN
cana-2147	100	23	support	support	NOUN
cana-2147	100	24	.	.	PUNCT
cana-2147	101	1	overall	overall	ADV
cana-2147	101	2	,	,	PUNCT
cana-2147	101	3	this	this	DET
cana-2147	101	4	research	research	NOUN
cana-2147	101	5	novelty	novelty	NOUN
cana-2147	101	6	stems	stem	VERB
cana-2147	101	7	from	from	ADP
cana-2147	101	8	its	its	PRON
cana-2147	101	9	multimodality	multimodality	NOUN
cana-2147	101	10	,	,	PUNCT
cana-2147	101	11	real	real	ADJ
cana-2147	101	12	-	-	PUNCT
cana-2147	101	13	time	time	NOUN
cana-2147	101	14	analysis	analysis	NOUN
cana-2147	101	15	,	,	PUNCT
cana-2147	101	16	focus	focus	VERB
cana-2147	101	17	on	on	ADP
cana-2147	101	18	well	well	ADV
cana-2147	101	19	-	-	PUNCT
cana-2147	101	20	being	being	NOUN
cana-2147	101	21	and	and	CCONJ
cana-2147	101	22	suicide	suicide	NOUN
cana-2147	101	23	risk	risk	NOUN
cana-2147	101	24	assessment	assessment	NOUN
cana-2147	101	25	,	,	PUNCT
cana-2147	101	26	and	and	CCONJ
cana-2147	101	27	the	the	DET
cana-2147	101	28	integration	integration	NOUN
cana-2147	101	29	of	of	ADP
cana-2147	101	30	personalized	personalized	ADJ
cana-2147	101	31	recommendations	recommendation	NOUN
cana-2147	101	32	.	.	PUNCT
cana-2147	102	1	b.	b.	PROPN
cana-2147	102	2	dataset	dataset	VERB
cana-2147	102	3	analysis	analysis	NOUN
cana-2147	102	4	and	and	CCONJ
cana-2147	102	5	description	description	NOUN
cana-2147	102	6	image	image	NOUN
cana-2147	102	7	and	and	CCONJ
cana-2147	102	8	video	video	NOUN
cana-2147	102	9	data	datum	NOUN
cana-2147	102	10	the	the	DET
cana-2147	102	11	foundation	foundation	NOUN
cana-2147	102	12	of	of	ADP
cana-2147	102	13	our	our	PRON
cana-2147	102	14	image	image	NOUN
cana-2147	102	15	and	and	CCONJ
cana-2147	102	16	video	video	NOUN
cana-2147	102	17	emotion	emotion	NOUN
cana-2147	102	18	recognition	recognition	NOUN
cana-2147	102	19	model	model	NOUN
cana-2147	102	20	is	be	AUX
cana-2147	102	21	the	the	DET
cana-2147	102	22	fer2013	fer2013	ADJ
cana-2147	102	23	dataset	dataset	NOUN
cana-2147	102	24	,	,	PUNCT
cana-2147	102	25	a	a	DET
cana-2147	102	26	widely	widely	ADV
cana-2147	102	27	recognized	recognize	VERB
cana-2147	102	28	benchmark	benchmark	NOUN
cana-2147	102	29	containing	contain	VERB
cana-2147	102	30	approximately	approximately	ADV
cana-2147	102	31	30,000	30,000	NUM
cana-2147	102	32	facial	facial	ADJ
cana-2147	102	33	images	image	NOUN
cana-2147	102	34	with	with	ADP
cana-2147	102	35	seven	seven	NUM
cana-2147	102	36	basic	basic	ADJ
cana-2147	102	37	emotion	emotion	NOUN
cana-2147	102	38	labels	label	NOUN
cana-2147	102	39	(	(	PUNCT
cana-2147	102	40	angry	angry	ADJ
cana-2147	102	41	,	,	PUNCT
cana-2147	102	42	disgust	disgust	ADJ
cana-2147	102	43	,	,	PUNCT
cana-2147	102	44	fear	fear	NOUN
cana-2147	102	45	,	,	PUNCT
cana-2147	102	46	happy	happy	ADJ
cana-2147	102	47	,	,	PUNCT
cana-2147	102	48	sad	sad	ADJ
cana-2147	102	49	,	,	PUNCT
cana-2147	102	50	surprise	surprise	NOUN
cana-2147	102	51	,	,	PUNCT
cana-2147	102	52	neutral	neutral	ADJ
cana-2147	102	53	)	)	PUNCT
cana-2147	102	54	.	.	PUNCT
cana-2147	103	1	to	to	PART
cana-2147	103	2	enhance	enhance	VERB
cana-2147	103	3	the	the	DET
cana-2147	103	4	model	model	NOUN
cana-2147	103	5	's	's	PART
cana-2147	103	6	robustness	robustness	NOUN
cana-2147	103	7	and	and	CCONJ
cana-2147	103	8	generalization	generalization	NOUN
cana-2147	103	9	,	,	PUNCT
cana-2147	103	10	we	we	PRON
cana-2147	103	11	incorporated	incorporate	VERB
cana-2147	103	12	additional	additional	ADJ
cana-2147	103	13	datasets	dataset	NOUN
cana-2147	103	14	such	such	ADJ
cana-2147	103	15	as	as	ADP
cana-2147	103	16	raf	raf	NOUN
cana-2147	103	17	-	-	PUNCT
cana-2147	103	18	db	db	NOUN
cana-2147	103	19	and	and	CCONJ
cana-2147	103	20	affectnet	affectnet	NOUN
cana-2147	103	21	.	.	PUNCT
cana-2147	104	1	these	these	DET
cana-2147	104	2	datasets	dataset	NOUN
cana-2147	104	3	provide	provide	VERB
cana-2147	104	4	a	a	DET
cana-2147	104	5	more	more	ADV
cana-2147	104	6	diverse	diverse	ADJ
cana-2147	104	7	range	range	NOUN
cana-2147	104	8	of	of	ADP
cana-2147	104	9	facial	facial	ADJ
cana-2147	104	10	expressions	expression	NOUN
cana-2147	104	11	,	,	PUNCT
cana-2147	104	12	including	include	VERB
cana-2147	104	13	complex	complex	ADJ
cana-2147	104	14	emotions	emotion	NOUN
cana-2147	104	15	and	and	CCONJ
cana-2147	104	16	variations	variation	NOUN
cana-2147	104	17	in	in	ADP
cana-2147	104	18	lighting	lighting	NOUN
cana-2147	104	19	and	and	CCONJ
cana-2147	104	20	pose	pose	VERB
cana-2147	104	21	.	.	PUNCT
cana-2147	105	1	audio	audio	NOUN
cana-2147	105	2	data	datum	NOUN
cana-2147	105	3	for	for	ADP
cana-2147	105	4	audio	audio	NOUN
cana-2147	105	5	-	-	PUNCT
cana-2147	105	6	based	base	VERB
cana-2147	105	7	emotion	emotion	NOUN
cana-2147	105	8	recognition	recognition	NOUN
cana-2147	105	9	,	,	PUNCT
cana-2147	105	10	we	we	PRON
cana-2147	105	11	utilized	utilize	VERB
cana-2147	105	12	the	the	DET
cana-2147	105	13	ravdess	ravdess	NOUN
cana-2147	105	14	dataset	dataset	NOUN
cana-2147	105	15	,	,	PUNCT
cana-2147	105	16	which	which	PRON
cana-2147	105	17	comprises	comprise	VERB
cana-2147	105	18	acted	act	VERB
cana-2147	105	19	emotional	emotional	ADJ
cana-2147	105	20	speech	speech	NOUN
cana-2147	105	21	audio	audio	NOUN
cana-2147	105	22	files	file	NOUN
cana-2147	105	23	with	with	ADP
cana-2147	105	24	variations	variation	NOUN
cana-2147	105	25	in	in	ADP
cana-2147	105	26	emotional	emotional	ADJ
cana-2147	105	27	intensity	intensity	NOUN
cana-2147	105	28	and	and	CCONJ
cana-2147	105	29	vocal	vocal	ADJ
cana-2147	105	30	pitch	pitch	NOUN
cana-2147	105	31	.	.	PUNCT
cana-2147	106	1	to	to	PART
cana-2147	106	2	augment	augment	VERB
cana-2147	106	3	the	the	DET
cana-2147	106	4	dataset	dataset	NOUN
cana-2147	106	5	and	and	CCONJ
cana-2147	106	6	improve	improve	VERB
cana-2147	106	7	model	model	NOUN
cana-2147	106	8	performance	performance	NOUN
cana-2147	106	9	,	,	PUNCT
cana-2147	106	10	we	we	PRON
cana-2147	106	11	included	include	VERB
cana-2147	106	12	the	the	DET
cana-2147	106	13	crema	crema	NOUN
cana-2147	106	14	-	-	PUNCT
cana-2147	106	15	d	d	NOUN
cana-2147	106	16	and	and	CCONJ
cana-2147	106	17	iemocap	iemocap	ADJ
cana-2147	106	18	datasets	dataset	NOUN
cana-2147	106	19	,	,	PUNCT
cana-2147	106	20	which	which	PRON
cana-2147	106	21	offer	offer	VERB
cana-2147	106	22	a	a	DET
cana-2147	106	23	wider	wide	ADJ
cana-2147	106	24	range	range	NOUN
cana-2147	106	25	of	of	ADP
cana-2147	106	26	emotional	emotional	ADJ
cana-2147	106	27	expressions	expression	NOUN
cana-2147	106	28	and	and	CCONJ
cana-2147	106	29	real	real	ADJ
cana-2147	106	30	-	-	PUNCT
cana-2147	106	31	world	world	NOUN
cana-2147	106	32	speech	speech	NOUN
cana-2147	106	33	scenarios	scenario	NOUN
cana-2147	106	34	.	.	PUNCT
cana-2147	107	1	text	text	NOUN
cana-2147	107	2	data	datum	NOUN
cana-2147	107	3	to	to	PART
cana-2147	107	4	evaluate	evaluate	VERB
cana-2147	107	5	the	the	DET
cana-2147	107	6	text	text	NOUN
cana-2147	107	7	-	-	PUNCT
cana-2147	107	8	based	base	VERB
cana-2147	107	9	emotion	emotion	NOUN
cana-2147	107	10	recognition	recognition	NOUN
cana-2147	107	11	component	component	NOUN
cana-2147	107	12	,	,	PUNCT
cana-2147	107	13	we	we	PRON
cana-2147	107	14	employed	employ	VERB
cana-2147	107	15	the	the	DET
cana-2147	107	16	restaurant	restaurant	NOUN
cana-2147	107	17	reviews	review	NOUN
cana-2147	107	18	dataset	dataset	VERB
cana-2147	107	19	.	.	PUNCT
cana-2147	108	1	this	this	DET
cana-2147	108	2	dataset	dataset	NOUN
cana-2147	108	3	contains	contain	VERB
cana-2147	108	4	a	a	DET
cana-2147	108	5	large	large	ADJ
cana-2147	108	6	volume	volume	NOUN
cana-2147	108	7	of	of	ADP
cana-2147	108	8	text	text	NOUN
cana-2147	108	9	data	datum	NOUN
cana-2147	108	10	with	with	ADP
cana-2147	108	11	associated	associated	ADJ
cana-2147	108	12	sentiment	sentiment	NOUN
cana-2147	108	13	labels	label	NOUN
cana-2147	108	14	,	,	PUNCT
cana-2147	108	15	providing	provide	VERB
cana-2147	108	16	a	a	DET
cana-2147	108	17	suitable	suitable	ADJ
cana-2147	108	18	benchmark	benchmark	NOUN
cana-2147	108	19	for	for	ADP
cana-2147	108	20	assessing	assess	VERB
cana-2147	108	21	the	the	DET
cana-2147	108	22	model	model	NOUN
cana-2147	108	23	's	's	PART
cana-2147	108	24	ability	ability	NOUN
cana-2147	108	25	to	to	PART
cana-2147	108	26	classify	classify	VERB
cana-2147	108	27	emotions	emotion	NOUN
cana-2147	108	28	from	from	ADP
cana-2147	108	29	textual	textual	ADJ
cana-2147	108	30	content	content	NOUN
cana-2147	108	31	.	.	PUNCT
cana-2147	109	1	while	while	SCONJ
cana-2147	109	2	this	this	DET
cana-2147	109	3	dataset	dataset	NOUN
cana-2147	109	4	primarily	primarily	ADV
cana-2147	109	5	focuses	focus	VERB
cana-2147	109	6	on	on	ADP
cana-2147	109	7	sentiment	sentiment	NOUN
cana-2147	109	8	analysis	analysis	NOUN
cana-2147	109	9	,	,	PUNCT
cana-2147	109	10	it	it	PRON
cana-2147	109	11	can	can	AUX
cana-2147	109	12	be	be	AUX
cana-2147	109	13	adapted	adapt	VERB
cana-2147	109	14	to	to	PART
cana-2147	109	15	emotion	emotion	VERB
cana-2147	109	16	classification	classification	NOUN
cana-2147	109	17	by	by	ADP
cana-2147	109	18	mapping	map	VERB
cana-2147	109	19	sentiment	sentiment	NOUN
cana-2147	109	20	labels	label	NOUN
cana-2147	109	21	to	to	ADP
cana-2147	109	22	corresponding	correspond	VERB
cana-2147	109	23	emotional	emotional	ADJ
cana-2147	109	24	categories	category	NOUN
cana-2147	109	25	.	.	PUNCT
cana-2147	110	1	note	note	VERB
cana-2147	110	2	:	:	PUNCT
cana-2147	110	3	for	for	ADP
cana-2147	110	4	optimal	optimal	ADJ
cana-2147	110	5	performance	performance	NOUN
cana-2147	110	6	and	and	CCONJ
cana-2147	110	7	generalization	generalization	NOUN
cana-2147	110	8	,	,	PUNCT
cana-2147	110	9	data	datum	NOUN
cana-2147	110	10	preprocessing	preprocesse	VERB
cana-2147	110	11	techniques	technique	NOUN
cana-2147	110	12	such	such	ADJ
cana-2147	110	13	as	as	ADP
cana-2147	110	14	data	data	NOUN
cana-2147	110	15	augmentation	augmentation	NOUN
cana-2147	110	16	,	,	PUNCT
cana-2147	110	17	normalization	normalization	NOUN
cana-2147	110	18	,	,	PUNCT
cana-2147	110	19	and	and	CCONJ
cana-2147	110	20	feature	feature	NOUN
cana-2147	110	21	scaling	scale	VERB
cana-2147	110	22	were	be	AUX
cana-2147	110	23	applied	apply	VERB
cana-2147	110	24	to	to	ADP
cana-2147	110	25	all	all	DET
cana-2147	110	26	datasets	dataset	NOUN
cana-2147	110	27	.	.	PUNCT
cana-2147	111	1	c.	c.	NOUN
cana-2147	111	2	algorithm	algorithm	PROPN
cana-2147	111	3	justifications	justification	NOUN
cana-2147	111	4	:	:	PUNCT
cana-2147	111	5	emotion	emotion	NOUN
cana-2147	111	6	recognition	recognition	NOUN
cana-2147	111	7	:	:	PUNCT
cana-2147	111	8	image	image	NOUN
cana-2147	111	9	and	and	CCONJ
cana-2147	111	10	video	video	NOUN
cana-2147	111	11	modality	modality	NOUN
cana-2147	111	12	:	:	PUNCT
cana-2147	111	13	•	•	ADP
cana-2147	111	14	convolutional	convolutional	ADJ
cana-2147	111	15	neural	neural	ADJ
cana-2147	111	16	networks	network	NOUN
cana-2147	111	17	(	(	PUNCT
cana-2147	111	18	cnns	cnns	PROPN
cana-2147	111	19	):	):	PUNCT
cana-2147	111	20	to	to	PART
cana-2147	111	21	extract	extract	VERB
cana-2147	111	22	discriminative	discriminative	NOUN
cana-2147	111	23	features	feature	NOUN
cana-2147	111	24	from	from	ADP
cana-2147	111	25	facial	facial	ADJ
cana-2147	111	26	images	image	NOUN
cana-2147	111	27	and	and	CCONJ
cana-2147	111	28	videos	video	NOUN
cana-2147	111	29	,	,	PUNCT
cana-2147	111	30	we	we	PRON
cana-2147	111	31	employed	employ	VERB
cana-2147	111	32	cnn	cnn	PROPN
cana-2147	111	33	architectures	architecture	NOUN
cana-2147	111	34	such	such	ADJ
cana-2147	111	35	as	as	ADP
cana-2147	111	36	vgg	vgg	NOUN
cana-2147	111	37	,	,	PUNCT
cana-2147	111	38	resnet	resnet	NOUN
cana-2147	111	39	,	,	PUNCT
cana-2147	111	40	or	or	CCONJ
cana-2147	111	41	efficientnet	efficientnet	NOUN
cana-2147	111	42	.	.	PUNCT
cana-2147	112	1	communications	communication	NOUN
cana-2147	112	2	on	on	ADP
cana-2147	112	3	applied	apply	VERB
cana-2147	112	4	nonlinear	nonlinear	ADJ
cana-2147	112	5	analysis	analysis	NOUN
cana-2147	112	6	issn	issn	NOUN
cana-2147	112	7	:	:	PUNCT
cana-2147	112	8	1074	1074	NUM
cana-2147	112	9	-	-	PUNCT
cana-2147	112	10	133x	133x	NUM
cana-2147	112	11	vol	vol	NOUN
cana-2147	112	12	32	32	NUM
cana-2147	112	13	no	no	NOUN
cana-2147	112	14	.	.	PUNCT
cana-2147	113	1	1s	1s	NUM
cana-2147	113	2	(	(	PUNCT
cana-2147	113	3	2025	2025	NUM
cana-2147	113	4	)	)	PUNCT
cana-2147	113	5	187	187	NUM
cana-2147	113	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2147	113	7	these	these	DET
cana-2147	113	8	models	model	NOUN
cana-2147	113	9	were	be	AUX
cana-2147	113	10	fine	fine	ADV
cana-2147	113	11	-	-	PUNCT
cana-2147	113	12	tuned	tune	VERB
cana-2147	113	13	on	on	ADP
cana-2147	113	14	the	the	DET
cana-2147	113	15	aforementioned	aforementione	VERB
cana-2147	113	16	datasets	dataset	NOUN
cana-2147	113	17	to	to	PART
cana-2147	113	18	achieve	achieve	VERB
cana-2147	113	19	optimal	optimal	ADJ
cana-2147	113	20	performance	performance	NOUN
cana-2147	113	21	in	in	ADP
cana-2147	113	22	emotion	emotion	NOUN
cana-2147	113	23	classification	classification	NOUN
cana-2147	113	24	.	.	PUNCT
cana-2147	114	1	•	•	NUM
cana-2147	114	2	transfer	transfer	NOUN
cana-2147	114	3	learning	learning	NOUN
cana-2147	114	4	:	:	PUNCT
cana-2147	114	5	to	to	PART
cana-2147	114	6	leverage	leverage	VERB
cana-2147	114	7	pre	pre	ADJ
cana-2147	114	8	-	-	ADJ
cana-2147	114	9	trained	train	VERB
cana-2147	114	10	models	model	NOUN
cana-2147	114	11	and	and	CCONJ
cana-2147	114	12	accelerate	accelerate	VERB
cana-2147	114	13	training	training	NOUN
cana-2147	114	14	,	,	PUNCT
cana-2147	114	15	transfer	transfer	NOUN
cana-2147	114	16	learning	learning	NOUN
cana-2147	114	17	was	be	AUX
cana-2147	114	18	employed	employ	VERB
cana-2147	114	19	.	.	PUNCT
cana-2147	115	1	pre	pre	VERB
cana-2147	115	2	-	-	ADJ
cana-2147	115	3	trained	train	VERB
cana-2147	115	4	models	model	NOUN
cana-2147	115	5	like	like	ADP
cana-2147	115	6	vgg	vgg	PROPN
cana-2147	115	7	,	,	PUNCT
cana-2147	115	8	resnet	resnet	NOUN
cana-2147	115	9	,	,	PUNCT
cana-2147	115	10	and	and	CCONJ
cana-2147	115	11	inception	inception	NOUN
cana-2147	115	12	were	be	AUX
cana-2147	115	13	fine	fine	ADV
cana-2147	115	14	-	-	PUNCT
cana-2147	115	15	tuned	tune	VERB
cana-2147	115	16	on	on	ADP
cana-2147	115	17	the	the	DET
cana-2147	115	18	target	target	NOUN
cana-2147	115	19	datasets	dataset	NOUN
cana-2147	115	20	.	.	PUNCT
cana-2147	116	1	audio	audio	ADJ
cana-2147	116	2	modality	modality	NOUN
cana-2147	116	3	:	:	PUNCT
cana-2147	116	4	•	•	NUM
cana-2147	116	5	mel	mel	PROPN
cana-2147	116	6	-	-	PUNCT
cana-2147	116	7	frequency	frequency	ADJ
cana-2147	116	8	cepstral	cepstral	ADJ
cana-2147	116	9	coefficients	coefficient	NOUN
cana-2147	116	10	(	(	PUNCT
cana-2147	116	11	mfccs	mfccs	ADJ
cana-2147	116	12	):	):	PUNCT
cana-2147	116	13	to	to	PART
cana-2147	116	14	extract	extract	VERB
cana-2147	116	15	relevant	relevant	ADJ
cana-2147	116	16	features	feature	NOUN
cana-2147	116	17	from	from	ADP
cana-2147	116	18	audio	audio	ADJ
cana-2147	116	19	signals	signal	NOUN
cana-2147	116	20	,	,	PUNCT
cana-2147	116	21	mfccs	mfccs	PROPN
cana-2147	116	22	were	be	AUX
cana-2147	116	23	computed	compute	VERB
cana-2147	116	24	to	to	PART
cana-2147	116	25	represent	represent	VERB
cana-2147	116	26	the	the	DET
cana-2147	116	27	spectral	spectral	ADJ
cana-2147	116	28	content	content	NOUN
cana-2147	116	29	of	of	ADP
cana-2147	116	30	the	the	DET
cana-2147	116	31	audio	audio	NOUN
cana-2147	116	32	.	.	PUNCT
cana-2147	117	1	•	•	NUM
cana-2147	117	2	deep	deep	ADJ
cana-2147	117	3	neural	neural	ADJ
cana-2147	117	4	networks	network	NOUN
cana-2147	117	5	(	(	PUNCT
cana-2147	117	6	dnns	dnn	NOUN
cana-2147	117	7	):	):	PUNCT
cana-2147	117	8	dnns	dnn	NOUN
cana-2147	117	9	,	,	PUNCT
cana-2147	117	10	including	include	VERB
cana-2147	117	11	convolutional	convolutional	ADJ
cana-2147	117	12	neural	neural	ADJ
cana-2147	117	13	networks	network	NOUN
cana-2147	117	14	(	(	PUNCT
cana-2147	117	15	cnns	cnns	PROPN
cana-2147	117	16	)	)	PUNCT
cana-2147	117	17	and	and	CCONJ
cana-2147	117	18	recurrent	recurrent	ADJ
cana-2147	117	19	neural	neural	ADJ
cana-2147	117	20	networks	network	NOUN
cana-2147	117	21	(	(	PUNCT
cana-2147	117	22	rnns	rnns	PROPN
cana-2147	117	23	)	)	PUNCT
cana-2147	117	24	,	,	PUNCT
cana-2147	117	25	were	be	AUX
cana-2147	117	26	employed	employ	VERB
cana-2147	117	27	to	to	PART
cana-2147	117	28	classify	classify	VERB
cana-2147	117	29	emotions	emotion	NOUN
cana-2147	117	30	based	base	VERB
cana-2147	117	31	on	on	ADP
cana-2147	117	32	the	the	DET
cana-2147	117	33	extracted	extract	VERB
cana-2147	117	34	mfcc	mfcc	NOUN
cana-2147	117	35	features	feature	NOUN
cana-2147	117	36	.	.	PUNCT
cana-2147	118	1	text	text	NOUN
cana-2147	118	2	modality	modality	NOUN
cana-2147	118	3	:	:	PUNCT
cana-2147	118	4	•	•	ADP
cana-2147	118	5	natural	natural	ADJ
cana-2147	118	6	language	language	NOUN
cana-2147	118	7	processing	processing	NOUN
cana-2147	118	8	(	(	PUNCT
cana-2147	118	9	nlp	nlp	ADJ
cana-2147	118	10	):	):	PUNCT
cana-2147	118	11	textual	textual	ADJ
cana-2147	118	12	data	datum	NOUN
cana-2147	118	13	was	be	AUX
cana-2147	118	14	preprocessed	preprocesse	VERB
cana-2147	118	15	using	use	VERB
cana-2147	118	16	techniques	technique	NOUN
cana-2147	118	17	like	like	ADP
cana-2147	118	18	tokenization	tokenization	NOUN
cana-2147	118	19	,	,	PUNCT
cana-2147	118	20	stemming	stemming	NOUN
cana-2147	118	21	,	,	PUNCT
cana-2147	118	22	and	and	CCONJ
cana-2147	118	23	stop	stop	VERB
cana-2147	118	24	word	word	NOUN
cana-2147	118	25	removal	removal	NOUN
cana-2147	118	26	.	.	PUNCT
cana-2147	119	1	•	•	NUM
cana-2147	119	2	recurrent	recurrent	ADJ
cana-2147	119	3	neural	neural	ADJ
cana-2147	119	4	networks	network	NOUN
cana-2147	119	5	(	(	PUNCT
cana-2147	119	6	rnns	rnns	PROPN
cana-2147	119	7	):	):	PUNCT
cana-2147	119	8	long	long	ADJ
cana-2147	119	9	short	short	ADJ
cana-2147	119	10	-	-	PUNCT
cana-2147	119	11	term	term	NOUN
cana-2147	119	12	memory	memory	NOUN
cana-2147	119	13	(	(	PUNCT
cana-2147	119	14	lstm	lstm	NOUN
cana-2147	119	15	)	)	PUNCT
cana-2147	119	16	networks	network	NOUN
cana-2147	119	17	or	or	CCONJ
cana-2147	119	18	gated	gate	VERB
cana-2147	119	19	recurrent	recurrent	ADJ
cana-2147	119	20	units	unit	NOUN
cana-2147	119	21	(	(	PUNCT
cana-2147	119	22	grus	grus	NOUN
cana-2147	119	23	)	)	PUNCT
cana-2147	119	24	were	be	AUX
cana-2147	119	25	used	use	VERB
cana-2147	119	26	to	to	PART
cana-2147	119	27	capture	capture	VERB
cana-2147	119	28	the	the	DET
cana-2147	119	29	sequential	sequential	ADJ
cana-2147	119	30	nature	nature	NOUN
cana-2147	119	31	of	of	ADP
cana-2147	119	32	text	text	NOUN
cana-2147	119	33	and	and	CCONJ
cana-2147	119	34	classify	classify	VERB
cana-2147	119	35	emotions	emotion	NOUN
cana-2147	119	36	based	base	VERB
cana-2147	119	37	on	on	ADP
cana-2147	119	38	textual	textual	ADJ
cana-2147	119	39	content	content	NOUN
cana-2147	119	40	.	.	PUNCT
cana-2147	120	1	multimodal	multimodal	ADJ
cana-2147	120	2	fusion	fusion	NOUN
cana-2147	120	3	•	•	ADP
cana-2147	120	4	early	early	ADJ
cana-2147	120	5	fusion	fusion	NOUN
cana-2147	120	6	:	:	PUNCT
cana-2147	120	7	feature	feature	NOUN
cana-2147	120	8	-	-	PUNCT
cana-2147	120	9	level	level	NOUN
cana-2147	120	10	fusion	fusion	NOUN
cana-2147	120	11	was	be	AUX
cana-2147	120	12	explored	explore	VERB
cana-2147	120	13	by	by	ADP
cana-2147	120	14	concatenating	concatenate	VERB
cana-2147	120	15	the	the	DET
cana-2147	120	16	extracted	extract	VERB
cana-2147	120	17	features	feature	NOUN
cana-2147	120	18	from	from	ADP
cana-2147	120	19	different	different	ADJ
cana-2147	120	20	modalities	modality	NOUN
cana-2147	120	21	before	before	ADP
cana-2147	120	22	feeding	feed	VERB
cana-2147	120	23	them	they	PRON
cana-2147	120	24	into	into	ADP
cana-2147	120	25	a	a	DET
cana-2147	120	26	single	single	ADJ
cana-2147	120	27	classifier	classifier	NOUN
cana-2147	120	28	.	.	PUNCT
cana-2147	121	1	•	•	NUM
cana-2147	121	2	late	late	ADJ
cana-2147	121	3	fusion	fusion	NOUN
cana-2147	121	4	:	:	PUNCT
cana-2147	121	5	decision	decision	NOUN
cana-2147	121	6	-	-	PUNCT
cana-2147	121	7	level	level	NOUN
cana-2147	121	8	fusion	fusion	NOUN
cana-2147	121	9	was	be	AUX
cana-2147	121	10	implemented	implement	VERB
cana-2147	121	11	by	by	ADP
cana-2147	121	12	combining	combine	VERB
cana-2147	121	13	the	the	DET
cana-2147	121	14	predictions	prediction	NOUN
cana-2147	121	15	from	from	ADP
cana-2147	121	16	individual	individual	ADJ
cana-2147	121	17	modality	modality	NOUN
cana-2147	121	18	classifiers	classifier	NOUN
cana-2147	121	19	using	use	VERB
cana-2147	121	20	techniques	technique	NOUN
cana-2147	121	21	like	like	ADP
cana-2147	121	22	weighted	weight	VERB
cana-2147	121	23	averaging	averaging	NOUN
cana-2147	121	24	or	or	CCONJ
cana-2147	121	25	majority	majority	NOUN
cana-2147	121	26	voting	voting	NOUN
cana-2147	121	27	.	.	PUNCT
cana-2147	122	1	well	well	ADV
cana-2147	122	2	-	-	PUNCT
cana-2147	122	3	being	being	NOUN
cana-2147	122	4	assessment	assessment	NOUN
cana-2147	122	5	and	and	CCONJ
cana-2147	122	6	suicide	suicide	NOUN
cana-2147	122	7	risk	risk	NOUN
cana-2147	122	8	prediction	prediction	NOUN
cana-2147	122	9	•	•	NOUN
cana-2147	122	10	machine	machine	NOUN
cana-2147	122	11	learning	learning	NOUN
cana-2147	122	12	:	:	PUNCT
cana-2147	122	13	to	to	PART
cana-2147	122	14	assess	assess	VERB
cana-2147	122	15	well	well	ADV
cana-2147	122	16	-	-	PUNCT
cana-2147	122	17	being	being	NOUN
cana-2147	122	18	and	and	CCONJ
cana-2147	122	19	predict	predict	VERB
cana-2147	122	20	suicide	suicide	NOUN
cana-2147	122	21	risk	risk	NOUN
cana-2147	122	22	,	,	PUNCT
cana-2147	122	23	machine	machine	NOUN
cana-2147	122	24	learning	learn	VERB
cana-2147	122	25	algorithms	algorithm	NOUN
cana-2147	122	26	such	such	ADJ
cana-2147	122	27	as	as	ADP
cana-2147	122	28	support	support	NOUN
cana-2147	122	29	vector	vector	NOUN
cana-2147	122	30	machines	machine	NOUN
cana-2147	122	31	(	(	PUNCT
cana-2147	122	32	svms	svms	NOUN
cana-2147	122	33	)	)	PUNCT
cana-2147	122	34	,	,	PUNCT
cana-2147	122	35	random	random	ADJ
cana-2147	122	36	forests	forest	NOUN
cana-2147	122	37	,	,	PUNCT
cana-2147	122	38	or	or	CCONJ
cana-2147	122	39	gradient	gradient	NOUN
cana-2147	122	40	boosting	boosting	NOUN
cana-2147	122	41	were	be	AUX
cana-2147	122	42	employed	employ	VERB
cana-2147	122	43	.	.	PUNCT
cana-2147	123	1	these	these	DET
cana-2147	123	2	models	model	NOUN
cana-2147	123	3	were	be	AUX
cana-2147	123	4	trained	train	VERB
cana-2147	123	5	on	on	ADP
cana-2147	123	6	features	feature	NOUN
cana-2147	123	7	extracted	extract	VERB
cana-2147	123	8	from	from	ADP
cana-2147	123	9	the	the	DET
cana-2147	123	10	multimodal	multimodal	NOUN
cana-2147	123	11	data	datum	NOUN
cana-2147	123	12	,	,	PUNCT
cana-2147	123	13	including	include	VERB
cana-2147	123	14	emotional	emotional	ADJ
cana-2147	123	15	states	state	NOUN
cana-2147	123	16	,	,	PUNCT
cana-2147	123	17	behavioral	behavioral	ADJ
cana-2147	123	18	patterns	pattern	NOUN
cana-2147	123	19	,	,	PUNCT
cana-2147	123	20	and	and	CCONJ
cana-2147	123	21	demographic	demographic	ADJ
cana-2147	123	22	information	information	NOUN
cana-2147	123	23	.	.	PUNCT
cana-2147	124	1	evaluation	evaluation	NOUN
cana-2147	124	2	metrics	metric	NOUN
cana-2147	124	3	•	•	ADV
cana-2147	124	4	accuracy	accuracy	NOUN
cana-2147	124	5	,	,	PUNCT
cana-2147	124	6	precision	precision	NOUN
cana-2147	124	7	,	,	PUNCT
cana-2147	124	8	recall	recall	NOUN
cana-2147	124	9	,	,	PUNCT
cana-2147	124	10	and	and	CCONJ
cana-2147	124	11	f1	f1	NOUN
cana-2147	124	12	-	-	PUNCT
cana-2147	124	13	score	score	NOUN
cana-2147	124	14	:	:	PUNCT
cana-2147	124	15	these	these	DET
cana-2147	124	16	metrics	metric	NOUN
cana-2147	124	17	were	be	AUX
cana-2147	124	18	used	use	VERB
cana-2147	124	19	to	to	PART
cana-2147	124	20	evaluate	evaluate	VERB
cana-2147	124	21	the	the	DET
cana-2147	124	22	performance	performance	NOUN
cana-2147	124	23	of	of	ADP
cana-2147	124	24	the	the	DET
cana-2147	124	25	emotion	emotion	NOUN
cana-2147	124	26	recognition	recognition	NOUN
cana-2147	124	27	models	model	NOUN
cana-2147	124	28	.	.	PUNCT
cana-2147	125	1	•	•	NUM
cana-2147	125	2	confusion	confusion	NOUN
cana-2147	125	3	matrices	matrix	NOUN
cana-2147	125	4	:	:	PUNCT
cana-2147	125	5	to	to	PART
cana-2147	125	6	analyze	analyze	VERB
cana-2147	125	7	the	the	DET
cana-2147	125	8	classification	classification	NOUN
cana-2147	125	9	errors	error	NOUN
cana-2147	125	10	and	and	CCONJ
cana-2147	125	11	identify	identify	VERB
cana-2147	125	12	potential	potential	ADJ
cana-2147	125	13	biases	bias	NOUN
cana-2147	125	14	.	.	PUNCT
cana-2147	126	1	•	•	NUM
cana-2147	126	2	area	area	NOUN
cana-2147	126	3	under	under	ADP
cana-2147	126	4	the	the	DET
cana-2147	126	5	curve	curve	NOUN
cana-2147	126	6	(	(	PUNCT
cana-2147	126	7	auc	auc	NOUN
cana-2147	126	8	):	):	PUNCT
cana-2147	126	9	to	to	PART
cana-2147	126	10	assess	assess	VERB
cana-2147	126	11	the	the	DET
cana-2147	126	12	performance	performance	NOUN
cana-2147	126	13	of	of	ADP
cana-2147	126	14	the	the	DET
cana-2147	126	15	suicide	suicide	NOUN
cana-2147	126	16	risk	risk	NOUN
cana-2147	126	17	prediction	prediction	NOUN
cana-2147	126	18	model	model	NOUN
cana-2147	126	19	.	.	PUNCT
cana-2147	127	1	by	by	ADP
cana-2147	127	2	combining	combine	VERB
cana-2147	127	3	these	these	DET
cana-2147	127	4	algorithms	algorithm	NOUN
cana-2147	127	5	and	and	CCONJ
cana-2147	127	6	techniques	technique	NOUN
cana-2147	127	7	,	,	PUNCT
cana-2147	127	8	the	the	DET
cana-2147	127	9	system	system	NOUN
cana-2147	127	10	effectively	effectively	ADV
cana-2147	127	11	extracts	extract	VERB
cana-2147	127	12	meaningful	meaningful	ADJ
cana-2147	127	13	information	information	NOUN
cana-2147	127	14	from	from	ADP
cana-2147	127	15	multimodal	multimodal	ADJ
cana-2147	127	16	data	datum	NOUN
cana-2147	127	17	,	,	PUNCT
cana-2147	127	18	accurately	accurately	ADV
cana-2147	127	19	predicts	predict	VERB
cana-2147	127	20	emotions	emotion	NOUN
cana-2147	127	21	,	,	PUNCT
cana-2147	127	22	and	and	CCONJ
cana-2147	127	23	provides	provide	VERB
cana-2147	127	24	valuable	valuable	ADJ
cana-2147	127	25	insights	insight	NOUN
cana-2147	127	26	into	into	ADP
cana-2147	127	27	user	user	NOUN
cana-2147	127	28	well	well	ADV
cana-2147	127	29	-	-	PUNCT
cana-2147	127	30	being	being	NOUN
cana-2147	127	31	and	and	CCONJ
cana-2147	127	32	potential	potential	ADJ
cana-2147	127	33	risks	risk	NOUN
cana-2147	127	34	.	.	PUNCT
cana-2147	128	1	communications	communication	NOUN
cana-2147	128	2	on	on	ADP
cana-2147	128	3	applied	apply	VERB
cana-2147	128	4	nonlinear	nonlinear	ADJ
cana-2147	128	5	analysis	analysis	NOUN
cana-2147	128	6	issn	issn	NOUN
cana-2147	128	7	:	:	PUNCT
cana-2147	128	8	1074	1074	NUM
cana-2147	128	9	-	-	PUNCT
cana-2147	128	10	133x	133x	NUM
cana-2147	128	11	vol	vol	NOUN
cana-2147	128	12	32	32	NUM
cana-2147	128	13	no	no	NOUN
cana-2147	128	14	.	.	PUNCT
cana-2147	129	1	1s	1s	NUM
cana-2147	129	2	(	(	PUNCT
cana-2147	129	3	2025	2025	NUM
cana-2147	129	4	)	)	PUNCT
cana-2147	129	5	188	188	NUM
cana-2147	129	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2147	129	7	iv	iv	NOUN
cana-2147	129	8	.	.	PUNCT
cana-2147	130	1	architechture	architechture	PROPN
cana-2147	130	2	description	description	NOUN
cana-2147	130	3	the	the	DET
cana-2147	130	4	proposed	propose	VERB
cana-2147	130	5	system	system	NOUN
cana-2147	130	6	architecture	architecture	NOUN
cana-2147	130	7	comprises	comprise	VERB
cana-2147	130	8	several	several	ADJ
cana-2147	130	9	interconnected	interconnected	ADJ
cana-2147	130	10	modules	module	NOUN
cana-2147	130	11	designed	design	VERB
cana-2147	130	12	for	for	ADP
cana-2147	130	13	multimodal	multimodal	ADJ
cana-2147	130	14	emotion	emotion	NOUN
cana-2147	130	15	recognition	recognition	NOUN
cana-2147	130	16	,	,	PUNCT
cana-2147	130	17	analysis	analysis	NOUN
cana-2147	130	18	,	,	PUNCT
cana-2147	130	19	and	and	CCONJ
cana-2147	130	20	well	well	ADV
cana-2147	130	21	-	-	PUNCT
cana-2147	130	22	being	being	NOUN
cana-2147	130	23	assessment	assessment	NOUN
cana-2147	130	24	.	.	PUNCT
cana-2147	131	1	data	datum	NOUN
cana-2147	131	2	acquisition	acquisition	NOUN
cana-2147	131	3	and	and	CCONJ
cana-2147	131	4	preprocessing	preprocessing	NOUN
cana-2147	131	5	module	module	NOUN
cana-2147	131	6	this	this	DET
cana-2147	131	7	module	module	NOUN
cana-2147	131	8	serves	serve	VERB
cana-2147	131	9	as	as	ADP
cana-2147	131	10	the	the	DET
cana-2147	131	11	foundation	foundation	NOUN
cana-2147	131	12	for	for	ADP
cana-2147	131	13	the	the	DET
cana-2147	131	14	system	system	NOUN
cana-2147	131	15	,	,	PUNCT
cana-2147	131	16	responsible	responsible	ADJ
cana-2147	131	17	for	for	ADP
cana-2147	131	18	collecting	collect	VERB
cana-2147	131	19	and	and	CCONJ
cana-2147	131	20	preparing	prepare	VERB
cana-2147	131	21	data	datum	NOUN
cana-2147	131	22	from	from	ADP
cana-2147	131	23	various	various	ADJ
cana-2147	131	24	sources	source	NOUN
cana-2147	131	25	.	.	PUNCT
cana-2147	132	1	image	image	NOUN
cana-2147	132	2	and	and	CCONJ
cana-2147	132	3	video	video	NOUN
cana-2147	132	4	data	datum	NOUN
cana-2147	132	5	are	be	AUX
cana-2147	132	6	captured	capture	VERB
cana-2147	132	7	through	through	ADP
cana-2147	132	8	cameras	camera	NOUN
cana-2147	132	9	or	or	CCONJ
cana-2147	132	10	user	user	NOUN
cana-2147	132	11	-	-	PUNCT
cana-2147	132	12	provided	provide	VERB
cana-2147	132	13	media	medium	NOUN
cana-2147	132	14	,	,	PUNCT
cana-2147	132	15	while	while	SCONJ
cana-2147	132	16	audio	audio	ADJ
cana-2147	132	17	data	datum	NOUN
cana-2147	132	18	is	be	AUX
cana-2147	132	19	obtained	obtain	VERB
cana-2147	132	20	from	from	ADP
cana-2147	132	21	microphones	microphone	NOUN
cana-2147	132	22	or	or	CCONJ
cana-2147	132	23	audio	audio	ADJ
cana-2147	132	24	recordings	recording	NOUN
cana-2147	132	25	.	.	PUNCT
cana-2147	133	1	textual	textual	ADJ
cana-2147	133	2	data	datum	NOUN
cana-2147	133	3	can	can	AUX
cana-2147	133	4	be	be	AUX
cana-2147	133	5	derived	derive	VERB
cana-2147	133	6	from	from	ADP
cana-2147	133	7	user	user	NOUN
cana-2147	133	8	inputs	input	NOUN
cana-2147	133	9	or	or	CCONJ
cana-2147	133	10	external	external	ADJ
cana-2147	133	11	sources	source	NOUN
cana-2147	133	12	.	.	PUNCT
cana-2147	134	1	preprocessing	preprocesse	VERB
cana-2147	134	2	steps	step	NOUN
cana-2147	134	3	include	include	VERB
cana-2147	134	4	face	face	NOUN
cana-2147	134	5	detection	detection	NOUN
cana-2147	134	6	,	,	PUNCT
cana-2147	134	7	facial	facial	ADJ
cana-2147	134	8	landmark	landmark	NOUN
cana-2147	134	9	extraction	extraction	NOUN
cana-2147	134	10	for	for	ADP
cana-2147	134	11	image	image	NOUN
cana-2147	134	12	and	and	CCONJ
cana-2147	134	13	video	video	NOUN
cana-2147	134	14	data	datum	NOUN
cana-2147	134	15	,	,	PUNCT
cana-2147	134	16	segmentation	segmentation	NOUN
cana-2147	134	17	and	and	CCONJ
cana-2147	134	18	feature	feature	NOUN
cana-2147	134	19	extraction	extraction	NOUN
cana-2147	134	20	for	for	ADP
cana-2147	134	21	audio	audio	ADJ
cana-2147	134	22	data	datum	NOUN
cana-2147	134	23	,	,	PUNCT
cana-2147	134	24	and	and	CCONJ
cana-2147	134	25	tokenization	tokenization	NOUN
cana-2147	134	26	and	and	CCONJ
cana-2147	134	27	cleaning	clean	VERB
cana-2147	134	28	for	for	ADP
cana-2147	134	29	textual	textual	ADJ
cana-2147	134	30	data	datum	NOUN
cana-2147	134	31	.	.	PUNCT
cana-2147	135	1	feature	feature	NOUN
cana-2147	135	2	extraction	extraction	NOUN
cana-2147	135	3	module	module	NOUN
cana-2147	135	4	extracting	extract	VERB
cana-2147	135	5	relevant	relevant	ADJ
cana-2147	135	6	features	feature	NOUN
cana-2147	135	7	is	be	AUX
cana-2147	135	8	crucial	crucial	ADJ
cana-2147	135	9	for	for	ADP
cana-2147	135	10	accurate	accurate	ADJ
cana-2147	135	11	emotion	emotion	NOUN
cana-2147	135	12	recognition	recognition	NOUN
cana-2147	135	13	.	.	PUNCT
cana-2147	136	1	the	the	DET
cana-2147	136	2	system	system	NOUN
cana-2147	136	3	employs	employ	VERB
cana-2147	136	4	a	a	DET
cana-2147	136	5	combination	combination	NOUN
cana-2147	136	6	of	of	ADP
cana-2147	136	7	hand	hand	NOUN
cana-2147	136	8	-	-	PUNCT
cana-2147	136	9	crafted	craft	VERB
cana-2147	136	10	and	and	CCONJ
cana-2147	136	11	deep	deep	ADJ
cana-2147	136	12	learning	learning	NOUN
cana-2147	136	13	-	-	PUNCT
cana-2147	136	14	based	base	VERB
cana-2147	136	15	feature	feature	NOUN
cana-2147	136	16	extraction	extraction	NOUN
cana-2147	136	17	techniques	technique	NOUN
cana-2147	136	18	.	.	PUNCT
cana-2147	137	1	for	for	ADP
cana-2147	137	2	image	image	NOUN
cana-2147	137	3	and	and	CCONJ
cana-2147	137	4	video	video	NOUN
cana-2147	137	5	modalities	modality	NOUN
cana-2147	137	6	,	,	PUNCT
cana-2147	137	7	features	feature	NOUN
cana-2147	137	8	like	like	ADP
cana-2147	137	9	facial	facial	ADJ
cana-2147	137	10	landmarks	landmark	NOUN
cana-2147	137	11	,	,	PUNCT
cana-2147	137	12	facial	facial	ADJ
cana-2147	137	13	action	action	NOUN
cana-2147	137	14	units	unit	NOUN
cana-2147	137	15	,	,	PUNCT
cana-2147	137	16	and	and	CCONJ
cana-2147	137	17	optical	optical	ADJ
cana-2147	137	18	flow	flow	NOUN
cana-2147	137	19	are	be	AUX
cana-2147	137	20	computed	compute	VERB
cana-2147	137	21	.	.	PUNCT
cana-2147	138	1	audio	audio	NOUN
cana-2147	138	2	features	feature	NOUN
cana-2147	138	3	include	include	VERB
cana-2147	138	4	mel	mel	PROPN
cana-2147	138	5	-	-	PUNCT
cana-2147	138	6	frequency	frequency	ADJ
cana-2147	138	7	cepstral	cepstral	ADJ
cana-2147	138	8	coefficients	coefficient	NOUN
cana-2147	138	9	(	(	PUNCT
cana-2147	138	10	mfccs	mfccs	NOUN
cana-2147	138	11	)	)	PUNCT
cana-2147	138	12	,	,	PUNCT
cana-2147	138	13	pitch	pitch	NOUN
cana-2147	138	14	,	,	PUNCT
cana-2147	138	15	and	and	CCONJ
cana-2147	138	16	intensity	intensity	NOUN
cana-2147	138	17	.	.	PUNCT
cana-2147	139	1	textual	textual	ADJ
cana-2147	139	2	features	feature	NOUN
cana-2147	139	3	are	be	AUX
cana-2147	139	4	derived	derive	VERB
cana-2147	139	5	using	use	VERB
cana-2147	139	6	techniques	technique	NOUN
cana-2147	139	7	like	like	ADP
cana-2147	139	8	word	word	NOUN
cana-2147	139	9	embeddings	embedding	NOUN
cana-2147	139	10	,	,	PUNCT
cana-2147	139	11	sentiment	sentiment	NOUN
cana-2147	139	12	analysis	analysis	NOUN
cana-2147	139	13	,	,	PUNCT
cana-2147	139	14	and	and	CCONJ
cana-2147	139	15	topic	topic	NOUN
cana-2147	139	16	modelling	modelling	NOUN
cana-2147	139	17	.	.	PUNCT
cana-2147	140	1	emotion	emotion	NOUN
cana-2147	140	2	recognition	recognition	NOUN
cana-2147	140	3	module	module	NOUN
cana-2147	140	4	the	the	DET
cana-2147	140	5	core	core	NOUN
cana-2147	140	6	of	of	ADP
cana-2147	140	7	the	the	DET
cana-2147	140	8	system	system	NOUN
cana-2147	140	9	,	,	PUNCT
cana-2147	140	10	this	this	DET
cana-2147	140	11	module	module	NOUN
cana-2147	140	12	utilizes	utilize	VERB
cana-2147	140	13	deep	deep	ADJ
cana-2147	140	14	learning	learning	NOUN
cana-2147	140	15	models	model	NOUN
cana-2147	140	16	to	to	PART
cana-2147	140	17	classify	classify	VERB
cana-2147	140	18	emotions	emotion	NOUN
cana-2147	140	19	based	base	VERB
cana-2147	140	20	on	on	ADP
cana-2147	140	21	the	the	DET
cana-2147	140	22	extracted	extract	VERB
cana-2147	140	23	features	feature	NOUN
cana-2147	140	24	.	.	PUNCT
cana-2147	141	1	convolutional	convolutional	ADJ
cana-2147	141	2	neural	neural	ADJ
cana-2147	141	3	networks	network	NOUN
cana-2147	141	4	(	(	PUNCT
cana-2147	141	5	cnns	cnns	PROPN
cana-2147	141	6	)	)	PUNCT
cana-2147	141	7	are	be	AUX
cana-2147	141	8	employed	employ	VERB
cana-2147	141	9	for	for	ADP
cana-2147	141	10	image	image	NOUN
cana-2147	141	11	and	and	CCONJ
cana-2147	141	12	video	video	NOUN
cana-2147	141	13	data	datum	NOUN
cana-2147	141	14	,	,	PUNCT
cana-2147	141	15	while	while	SCONJ
cana-2147	141	16	recurrent	recurrent	ADJ
cana-2147	141	17	neural	neural	ADJ
cana-2147	141	18	networks	network	NOUN
cana-2147	141	19	(	(	PUNCT
cana-2147	141	20	rnns	rnns	PROPN
cana-2147	141	21	)	)	PUNCT
cana-2147	141	22	or	or	CCONJ
cana-2147	141	23	convolutional	convolutional	ADJ
cana-2147	141	24	neural	neural	ADJ
cana-2147	141	25	networks	network	NOUN
cana-2147	141	26	(	(	PUNCT
cana-2147	141	27	cnns	cnns	PROPN
cana-2147	141	28	)	)	PUNCT
cana-2147	141	29	are	be	AUX
cana-2147	141	30	utilized	utilize	VERB
cana-2147	141	31	for	for	ADP
cana-2147	141	32	audio	audio	ADJ
cana-2147	141	33	data	datum	NOUN
cana-2147	141	34	.	.	PUNCT
cana-2147	142	1	for	for	ADP
cana-2147	142	2	text	text	NOUN
cana-2147	142	3	data	datum	NOUN
cana-2147	142	4	,	,	PUNCT
cana-2147	142	5	recurrent	recurrent	ADJ
cana-2147	142	6	neural	neural	ADJ
cana-2147	142	7	networks	network	NOUN
cana-2147	142	8	(	(	PUNCT
cana-2147	142	9	rnns	rnns	PROPN
cana-2147	142	10	)	)	PUNCT
cana-2147	142	11	or	or	CCONJ
cana-2147	142	12	transformer	transformer	NOUN
cana-2147	142	13	-	-	PUNCT
cana-2147	142	14	based	base	VERB
cana-2147	142	15	models	model	NOUN
cana-2147	142	16	are	be	AUX
cana-2147	142	17	employed	employ	VERB
cana-2147	142	18	.	.	PUNCT
cana-2147	143	1	the	the	DET
cana-2147	143	2	models	model	NOUN
cana-2147	143	3	are	be	AUX
cana-2147	143	4	trained	train	VERB
cana-2147	143	5	on	on	ADP
cana-2147	143	6	extensive	extensive	ADJ
cana-2147	143	7	datasets	dataset	NOUN
cana-2147	143	8	to	to	PART
cana-2147	143	9	achieve	achieve	VERB
cana-2147	143	10	robust	robust	ADJ
cana-2147	143	11	emotion	emotion	NOUN
cana-2147	143	12	classification	classification	NOUN
cana-2147	143	13	.	.	PUNCT
cana-2147	144	1	multimodal	multimodal	ADJ
cana-2147	144	2	fusion	fusion	NOUN
cana-2147	144	3	module	module	NOUN
cana-2147	144	4	to	to	PART
cana-2147	144	5	enhance	enhance	VERB
cana-2147	144	6	the	the	DET
cana-2147	144	7	accuracy	accuracy	NOUN
cana-2147	144	8	and	and	CCONJ
cana-2147	144	9	robustness	robustness	NOUN
cana-2147	144	10	of	of	ADP
cana-2147	144	11	emotion	emotion	NOUN
cana-2147	144	12	recognition	recognition	NOUN
cana-2147	144	13	,	,	PUNCT
cana-2147	144	14	a	a	DET
cana-2147	144	15	multimodal	multimodal	NOUN
cana-2147	144	16	fusion	fusion	NOUN
cana-2147	144	17	strategy	strategy	NOUN
cana-2147	144	18	is	be	AUX
cana-2147	144	19	adopted	adopt	VERB
cana-2147	144	20	.	.	PUNCT
cana-2147	145	1	the	the	DET
cana-2147	145	2	system	system	NOUN
cana-2147	145	3	integrates	integrate	VERB
cana-2147	145	4	information	information	NOUN
cana-2147	145	5	from	from	ADP
cana-2147	145	6	different	different	ADJ
cana-2147	145	7	modalities	modality	NOUN
cana-2147	145	8	to	to	PART
cana-2147	145	9	provide	provide	VERB
cana-2147	145	10	a	a	DET
cana-2147	145	11	comprehensive	comprehensive	ADJ
cana-2147	145	12	understanding	understanding	NOUN
cana-2147	145	13	of	of	ADP
cana-2147	145	14	the	the	DET
cana-2147	145	15	user	user	NOUN
cana-2147	145	16	's	's	PART
cana-2147	145	17	emotional	emotional	ADJ
cana-2147	145	18	state	state	NOUN
cana-2147	145	19	.	.	PUNCT
cana-2147	146	1	both	both	PRON
cana-2147	146	2	early	early	ADJ
cana-2147	146	3	fusion	fusion	NOUN
cana-2147	146	4	(	(	PUNCT
cana-2147	146	5	feature	feature	NOUN
cana-2147	146	6	-	-	PUNCT
cana-2147	146	7	level	level	NOUN
cana-2147	146	8	)	)	PUNCT
cana-2147	146	9	and	and	CCONJ
cana-2147	146	10	late	late	ADJ
cana-2147	146	11	fusion	fusion	NOUN
cana-2147	146	12	(	(	PUNCT
cana-2147	146	13	decision	decision	NOUN
cana-2147	146	14	-	-	PUNCT
cana-2147	146	15	level	level	NOUN
cana-2147	146	16	)	)	PUNCT
cana-2147	146	17	approaches	approach	NOUN
cana-2147	146	18	are	be	AUX
cana-2147	146	19	explored	explore	VERB
cana-2147	146	20	to	to	PART
cana-2147	146	21	determine	determine	VERB
cana-2147	146	22	the	the	DET
cana-2147	146	23	optimal	optimal	ADJ
cana-2147	146	24	fusion	fusion	NOUN
cana-2147	146	25	strategy	strategy	NOUN
cana-2147	146	26	.	.	PUNCT
cana-2147	147	1	emotion	emotion	NOUN
cana-2147	147	2	analysis	analysis	NOUN
cana-2147	147	3	and	and	CCONJ
cana-2147	147	4	well	well	ADV
cana-2147	147	5	-	-	PUNCT
cana-2147	147	6	being	being	NOUN
cana-2147	147	7	assessment	assessment	NOUN
cana-2147	147	8	module	module	NOUN
cana-2147	147	9	this	this	DET
cana-2147	147	10	module	module	NOUN
cana-2147	147	11	processes	process	VERB
cana-2147	147	12	the	the	DET
cana-2147	147	13	predicted	predict	VERB
cana-2147	147	14	emotions	emotion	NOUN
cana-2147	147	15	to	to	PART
cana-2147	147	16	extract	extract	VERB
cana-2147	147	17	meaningful	meaningful	ADJ
cana-2147	147	18	insights	insight	NOUN
cana-2147	147	19	into	into	ADP
cana-2147	147	20	the	the	DET
cana-2147	147	21	user	user	NOUN
cana-2147	147	22	's	's	PART
cana-2147	147	23	wellbeing	wellbee	VERB
cana-2147	147	24	.	.	PUNCT
cana-2147	148	1	time	time	NOUN
cana-2147	148	2	-	-	PUNCT
cana-2147	148	3	series	series	NOUN
cana-2147	148	4	analysis	analysis	NOUN
cana-2147	148	5	is	be	AUX
cana-2147	148	6	conducted	conduct	VERB
cana-2147	148	7	to	to	PART
cana-2147	148	8	identify	identify	VERB
cana-2147	148	9	patterns	pattern	NOUN
cana-2147	148	10	,	,	PUNCT
cana-2147	148	11	trends	trend	NOUN
cana-2147	148	12	,	,	PUNCT
cana-2147	148	13	and	and	CCONJ
cana-2147	148	14	anomalies	anomaly	NOUN
cana-2147	148	15	in	in	ADP
cana-2147	148	16	emotional	emotional	ADJ
cana-2147	148	17	states	state	NOUN
cana-2147	148	18	.	.	PUNCT
cana-2147	149	1	statistical	statistical	ADJ
cana-2147	149	2	methods	method	NOUN
cana-2147	149	3	are	be	AUX
cana-2147	149	4	employed	employ	VERB
cana-2147	149	5	to	to	PART
cana-2147	149	6	calculate	calculate	VERB
cana-2147	149	7	metrics	metric	NOUN
cana-2147	149	8	such	such	ADJ
cana-2147	149	9	as	as	ADP
cana-2147	149	10	average	average	ADJ
cana-2147	149	11	emotion	emotion	NOUN
cana-2147	149	12	levels	level	NOUN
cana-2147	149	13	and	and	CCONJ
cana-2147	149	14	well	well	ADV
cana-2147	149	15	-	-	PUNCT
cana-2147	149	16	being	being	NOUN
cana-2147	149	17	scores	score	NOUN
cana-2147	149	18	.	.	PUNCT
cana-2147	150	1	additionally	additionally	ADV
cana-2147	150	2	,	,	PUNCT
cana-2147	150	3	the	the	DET
cana-2147	150	4	system	system	NOUN
cana-2147	150	5	incorporates	incorporate	VERB
cana-2147	150	6	machine	machine	NOUN
cana-2147	150	7	learning	learning	NOUN
cana-2147	150	8	models	model	NOUN
cana-2147	150	9	to	to	PART
cana-2147	150	10	predict	predict	VERB
cana-2147	150	11	potential	potential	ADJ
cana-2147	150	12	suicide	suicide	NOUN
cana-2147	150	13	risks	risk	NOUN
cana-2147	150	14	based	base	VERB
cana-2147	150	15	on	on	ADP
cana-2147	150	16	emotional	emotional	ADJ
cana-2147	150	17	patterns	pattern	NOUN
cana-2147	150	18	and	and	CCONJ
cana-2147	150	19	other	other	ADJ
cana-2147	150	20	relevant	relevant	ADJ
cana-2147	150	21	factors	factor	NOUN
cana-2147	150	22	.	.	PUNCT
cana-2147	151	1	user	user	NOUN
cana-2147	151	2	interface	interface	NOUN
cana-2147	151	3	module	module	NOUN
cana-2147	151	4	a	a	DET
cana-2147	151	5	user	user	NOUN
cana-2147	151	6	-	-	PUNCT
cana-2147	151	7	friendly	friendly	ADJ
cana-2147	151	8	interface	interface	NOUN
cana-2147	151	9	is	be	AUX
cana-2147	151	10	provided	provide	VERB
cana-2147	151	11	to	to	PART
cana-2147	151	12	visualize	visualize	VERB
cana-2147	151	13	the	the	DET
cana-2147	151	14	analysis	analysis	NOUN
cana-2147	151	15	results	result	NOUN
cana-2147	151	16	,	,	PUNCT
cana-2147	151	17	present	present	ADJ
cana-2147	151	18	personalized	personalized	ADJ
cana-2147	151	19	recommendations	recommendation	NOUN
cana-2147	151	20	,	,	PUNCT
cana-2147	151	21	and	and	CCONJ
cana-2147	151	22	facilitate	facilitate	VERB
cana-2147	151	23	user	user	NOUN
cana-2147	151	24	interaction	interaction	NOUN
cana-2147	151	25	.	.	PUNCT
cana-2147	152	1	the	the	DET
cana-2147	152	2	interface	interface	NOUN
cana-2147	152	3	displays	display	VERB
cana-2147	152	4	emotion	emotion	NOUN
cana-2147	152	5	trends	trend	NOUN
cana-2147	152	6	,	,	PUNCT
cana-2147	152	7	distribution	distribution	NOUN
cana-2147	152	8	charts	chart	NOUN
cana-2147	152	9	,	,	PUNCT
cana-2147	152	10	and	and	CCONJ
cana-2147	152	11	other	other	ADJ
cana-2147	152	12	relevant	relevant	ADJ
cana-2147	152	13	visualizations	visualization	NOUN
cana-2147	152	14	.	.	PUNCT
cana-2147	153	1	it	it	PRON
cana-2147	153	2	also	also	ADV
cana-2147	153	3	offers	offer	VERB
cana-2147	153	4	suggestions	suggestion	NOUN
cana-2147	153	5	for	for	ADP
cana-2147	153	6	improving	improve	VERB
cana-2147	153	7	well	well	ADV
cana-2147	153	8	-	-	PUNCT
cana-2147	153	9	being	being	NOUN
cana-2147	153	10	based	base	VERB
cana-2147	153	11	on	on	ADP
cana-2147	153	12	communications	communication	NOUN
cana-2147	153	13	on	on	ADP
cana-2147	153	14	applied	apply	VERB
cana-2147	153	15	nonlinear	nonlinear	ADJ
cana-2147	153	16	analysis	analysis	NOUN
cana-2147	153	17	issn	issn	NOUN
cana-2147	153	18	:	:	PUNCT
cana-2147	153	19	1074	1074	NUM
cana-2147	153	20	-	-	PUNCT
cana-2147	153	21	133x	133x	NUM
cana-2147	153	22	vol	vol	NOUN
cana-2147	153	23	32	32	NUM
cana-2147	153	24	no	no	NOUN
cana-2147	153	25	.	.	PUNCT
cana-2147	154	1	1s	1s	NUM
cana-2147	154	2	(	(	PUNCT
cana-2147	154	3	2025	2025	NUM
cana-2147	154	4	)	)	PUNCT
cana-2147	154	5	189	189	NUM
cana-2147	154	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2147	154	7	the	the	DET
cana-2147	154	8	detected	detect	VERB
cana-2147	154	9	emotional	emotional	ADJ
cana-2147	154	10	patterns	pattern	NOUN
cana-2147	154	11	.	.	PUNCT
cana-2147	155	1	the	the	DET
cana-2147	155	2	system	system	NOUN
cana-2147	155	3	architecture	architecture	NOUN
cana-2147	155	4	emphasizes	emphasize	VERB
cana-2147	155	5	a	a	DET
cana-2147	155	6	modular	modular	ADJ
cana-2147	155	7	design	design	NOUN
cana-2147	155	8	,	,	PUNCT
cana-2147	155	9	allowing	allow	VERB
cana-2147	155	10	for	for	ADP
cana-2147	155	11	flexibility	flexibility	NOUN
cana-2147	155	12	and	and	CCONJ
cana-2147	155	13	scalability	scalability	NOUN
cana-2147	155	14	.	.	PUNCT
cana-2147	156	1	by	by	ADP
cana-2147	156	2	integrating	integrate	VERB
cana-2147	156	3	multiple	multiple	ADJ
cana-2147	156	4	modalities	modality	NOUN
cana-2147	156	5	and	and	CCONJ
cana-2147	156	6	leveraging	leverage	VERB
cana-2147	156	7	advanced	advanced	ADJ
cana-2147	156	8	machine	machine	NOUN
cana-2147	156	9	learning	learn	VERB
cana-2147	156	10	techniques	technique	NOUN
cana-2147	156	11	,	,	PUNCT
cana-2147	156	12	the	the	DET
cana-2147	156	13	system	system	NOUN
cana-2147	156	14	aims	aim	VERB
cana-2147	156	15	to	to	PART
cana-2147	156	16	provide	provide	VERB
cana-2147	156	17	a	a	DET
cana-2147	156	18	comprehensive	comprehensive	ADJ
cana-2147	156	19	and	and	CCONJ
cana-2147	156	20	accurate	accurate	ADJ
cana-2147	156	21	assessment	assessment	NOUN
cana-2147	156	22	of	of	ADP
cana-2147	156	23	user	user	NOUN
cana-2147	156	24	emotions	emotion	NOUN
cana-2147	156	25	and	and	CCONJ
cana-2147	156	26	well	well	ADV
cana-2147	156	27	-	-	PUNCT
cana-2147	156	28	being	being	NOUN
cana-2147	156	29	.	.	PUNCT
cana-2147	157	1	fig	fig	NOUN
cana-2147	157	2	2	2	NUM
cana-2147	157	3	:	:	PUNCT
cana-2147	157	4	overall	overall	ADJ
cana-2147	157	5	architecture	architecture	NOUN
cana-2147	157	6	-	-	PUNCT
cana-2147	157	7	flow	flow	NOUN
cana-2147	157	8	diagram	diagram	NOUN
cana-2147	157	9	v.	v.	ADP
cana-2147	157	10	results	result	VERB
cana-2147	157	11	image	image	NOUN
cana-2147	157	12	and	and	CCONJ
cana-2147	157	13	video	video	NOUN
cana-2147	157	14	emotion	emotion	NOUN
cana-2147	157	15	recognition	recognition	NOUN
cana-2147	157	16	the	the	DET
cana-2147	157	17	image	image	NOUN
cana-2147	157	18	and	and	CCONJ
cana-2147	157	19	video	video	NOUN
cana-2147	157	20	emotion	emotion	NOUN
cana-2147	157	21	recognition	recognition	NOUN
cana-2147	157	22	model	model	NOUN
cana-2147	157	23	was	be	AUX
cana-2147	157	24	trained	train	VERB
cana-2147	157	25	for	for	ADP
cana-2147	157	26	60	60	NUM
cana-2147	157	27	epochs	epoch	NOUN
cana-2147	157	28	,	,	PUNCT
cana-2147	157	29	achieving	achieve	VERB
cana-2147	157	30	a	a	DET
cana-2147	157	31	final	final	ADJ
cana-2147	157	32	training	training	NOUN
cana-2147	157	33	accuracy	accuracy	NOUN
cana-2147	157	34	of	of	ADP
cana-2147	157	35	98.39	98.39	NUM
cana-2147	157	36	%	%	NOUN
cana-2147	157	37	and	and	CCONJ
cana-2147	157	38	a	a	DET
cana-2147	157	39	loss	loss	NOUN
cana-2147	157	40	of	of	ADP
cana-2147	157	41	0.0562	0.0562	NUM
cana-2147	157	42	.	.	PUNCT
cana-2147	158	1	the	the	DET
cana-2147	158	2	model	model	NOUN
cana-2147	158	3	exhibited	exhibit	VERB
cana-2147	158	4	strong	strong	ADJ
cana-2147	158	5	generalization	generalization	NOUN
cana-2147	158	6	performance	performance	NOUN
cana-2147	158	7	,	,	PUNCT
cana-2147	158	8	with	with	ADP
cana-2147	158	9	a	a	DET
cana-2147	158	10	testing	testing	NOUN
cana-2147	158	11	accuracy	accuracy	NOUN
cana-2147	158	12	of	of	ADP
cana-2147	158	13	98.20	98.20	NUM
cana-2147	158	14	%	%	NOUN
cana-2147	158	15	.	.	PUNCT
cana-2147	159	1	the	the	DET
cana-2147	159	2	training	training	NOUN
cana-2147	159	3	and	and	CCONJ
cana-2147	159	4	validation	validation	NOUN
cana-2147	159	5	curves	curve	NOUN
cana-2147	159	6	indicated	indicate	VERB
cana-2147	159	7	stable	stable	ADJ
cana-2147	159	8	convergence	convergence	NOUN
cana-2147	159	9	without	without	ADP
cana-2147	159	10	signs	sign	NOUN
cana-2147	159	11	of	of	ADP
cana-2147	159	12	overfitting	overfitte	VERB
cana-2147	159	13	.	.	PUNCT
cana-2147	160	1	speech	speech	NOUN
cana-2147	160	2	emotion	emotion	NOUN
cana-2147	160	3	recognition	recognition	NOUN
cana-2147	160	4	the	the	DET
cana-2147	160	5	speech	speech	NOUN
cana-2147	160	6	emotion	emotion	NOUN
cana-2147	160	7	recognition	recognition	NOUN
cana-2147	160	8	model	model	NOUN
cana-2147	160	9	was	be	AUX
cana-2147	160	10	trained	train	VERB
cana-2147	160	11	for	for	ADP
cana-2147	160	12	50	50	NUM
cana-2147	160	13	epochs	epoch	NOUN
cana-2147	160	14	,	,	PUNCT
cana-2147	160	15	reaching	reach	VERB
cana-2147	160	16	a	a	DET
cana-2147	160	17	training	training	NOUN
cana-2147	160	18	accuracy	accuracy	NOUN
cana-2147	160	19	of	of	ADP
cana-2147	160	20	96.73	96.73	NUM
cana-2147	160	21	%	%	NOUN
cana-2147	160	22	and	and	CCONJ
cana-2147	160	23	a	a	DET
cana-2147	160	24	validation	validation	NOUN
cana-2147	160	25	accuracy	accuracy	NOUN
cana-2147	160	26	of	of	ADP
cana-2147	160	27	96.34	96.34	NUM
cana-2147	160	28	%	%	NOUN
cana-2147	160	29	.	.	PUNCT
cana-2147	161	1	the	the	DET
cana-2147	161	2	model	model	NOUN
cana-2147	161	3	demonstrated	demonstrate	VERB
cana-2147	161	4	consistent	consistent	ADJ
cana-2147	161	5	performance	performance	NOUN
cana-2147	161	6	on	on	ADP
cana-2147	161	7	the	the	DET
cana-2147	161	8	testing	testing	NOUN
cana-2147	161	9	dataset	dataset	NOUN
cana-2147	161	10	,	,	PUNCT
cana-2147	161	11	achieving	achieve	VERB
cana-2147	161	12	an	an	DET
cana-2147	161	13	accuracy	accuracy	NOUN
cana-2147	161	14	of	of	ADP
cana-2147	161	15	96.34	96.34	NUM
cana-2147	161	16	%	%	NOUN
cana-2147	161	17	.	.	PUNCT
cana-2147	162	1	the	the	DET
cana-2147	162	2	training	training	NOUN
cana-2147	162	3	and	and	CCONJ
cana-2147	162	4	validation	validation	NOUN
cana-2147	162	5	loss	loss	NOUN
cana-2147	162	6	curves	curve	NOUN
cana-2147	162	7	exhibited	exhibit	VERB
cana-2147	162	8	a	a	DET
cana-2147	162	9	decreasing	decrease	VERB
cana-2147	162	10	trend	trend	NOUN
cana-2147	162	11	,	,	PUNCT
cana-2147	162	12	indicating	indicate	VERB
cana-2147	162	13	effective	effective	ADJ
cana-2147	162	14	learning	learning	NOUN
cana-2147	162	15	.	.	PUNCT
cana-2147	163	1	communications	communication	NOUN
cana-2147	163	2	on	on	ADP
cana-2147	163	3	applied	apply	VERB
cana-2147	163	4	nonlinear	nonlinear	ADJ
cana-2147	163	5	analysis	analysis	NOUN
cana-2147	163	6	issn	issn	NOUN
cana-2147	163	7	:	:	PUNCT
cana-2147	163	8	1074	1074	NUM
cana-2147	163	9	-	-	PUNCT
cana-2147	163	10	133x	133x	NUM
cana-2147	163	11	vol	vol	NOUN
cana-2147	163	12	32	32	NUM
cana-2147	163	13	no	no	NOUN
cana-2147	163	14	.	.	PUNCT
cana-2147	164	1	1s	1s	NUM
cana-2147	164	2	(	(	PUNCT
cana-2147	164	3	2025	2025	NUM
cana-2147	164	4	)	)	PUNCT
cana-2147	164	5	190	190	NUM
cana-2147	164	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2147	164	7	text	text	NOUN
cana-2147	164	8	emotion	emotion	NOUN
cana-2147	164	9	recognition	recognition	NOUN
cana-2147	164	10	the	the	DET
cana-2147	164	11	text	text	NOUN
cana-2147	164	12	emotion	emotion	NOUN
cana-2147	164	13	recognition	recognition	NOUN
cana-2147	164	14	model	model	NOUN
cana-2147	164	15	was	be	AUX
cana-2147	164	16	trained	train	VERB
cana-2147	164	17	for	for	ADP
cana-2147	164	18	25	25	NUM
cana-2147	164	19	epochs	epoch	NOUN
cana-2147	164	20	,	,	PUNCT
cana-2147	164	21	achieving	achieve	VERB
cana-2147	164	22	a	a	DET
cana-2147	164	23	final	final	ADJ
cana-2147	164	24	training	training	NOUN
cana-2147	164	25	accuracy	accuracy	NOUN
cana-2147	164	26	of	of	ADP
cana-2147	164	27	98.39	98.39	NUM
cana-2147	164	28	%	%	NOUN
cana-2147	164	29	,	,	PUNCT
cana-2147	164	30	precision	precision	NOUN
cana-2147	164	31	of	of	ADP
cana-2147	164	32	98.47	98.47	NUM
cana-2147	164	33	%	%	NOUN
cana-2147	164	34	,	,	PUNCT
cana-2147	164	35	and	and	CCONJ
cana-2147	164	36	recall	recall	NOUN
cana-2147	164	37	of	of	ADP
cana-2147	164	38	98.26	98.26	NUM
cana-2147	164	39	%	%	NOUN
cana-2147	164	40	.	.	PUNCT
cana-2147	165	1	the	the	DET
cana-2147	165	2	model	model	NOUN
cana-2147	165	3	's	's	PART
cana-2147	165	4	performance	performance	NOUN
cana-2147	165	5	on	on	ADP
cana-2147	165	6	the	the	DET
cana-2147	165	7	validation	validation	NOUN
cana-2147	165	8	set	set	NOUN
cana-2147	165	9	was	be	AUX
cana-2147	165	10	slightly	slightly	ADV
cana-2147	165	11	lower	low	ADJ
cana-2147	165	12	,	,	PUNCT
cana-2147	165	13	with	with	ADP
cana-2147	165	14	an	an	DET
cana-2147	165	15	accuracy	accuracy	NOUN
cana-2147	165	16	of	of	ADP
cana-2147	165	17	93.11	93.11	NUM
cana-2147	165	18	%	%	NOUN
cana-2147	165	19	,	,	PUNCT
cana-2147	165	20	precision	precision	NOUN
cana-2147	165	21	of	of	ADP
cana-2147	165	22	94.05	94.05	NUM
cana-2147	165	23	%	%	NOUN
cana-2147	165	24	,	,	PUNCT
cana-2147	165	25	and	and	CCONJ
cana-2147	165	26	recall	recall	NOUN
cana-2147	165	27	of	of	ADP
cana-2147	165	28	92.81	92.81	NUM
cana-2147	165	29	%	%	NOUN
cana-2147	165	30	.	.	PUNCT
cana-2147	166	1	on	on	ADP
cana-2147	166	2	the	the	DET
cana-2147	166	3	testing	testing	NOUN
cana-2147	166	4	set	set	NOUN
cana-2147	166	5	,	,	PUNCT
cana-2147	166	6	the	the	DET
cana-2147	166	7	model	model	NOUN
cana-2147	166	8	achieved	achieve	VERB
cana-2147	166	9	an	an	DET
cana-2147	166	10	accuracy	accuracy	NOUN
cana-2147	166	11	of	of	ADP
cana-2147	166	12	94.09	94.09	NUM
cana-2147	166	13	%	%	NOUN
cana-2147	166	14	,	,	PUNCT
cana-2147	166	15	precision	precision	NOUN
cana-2147	166	16	of	of	ADP
cana-2147	166	17	95.20	95.20	NUM
cana-2147	166	18	%	%	NOUN
cana-2147	166	19	,	,	PUNCT
cana-2147	166	20	and	and	CCONJ
cana-2147	166	21	recall	recall	NOUN
cana-2147	166	22	of	of	ADP
cana-2147	166	23	93.39	93.39	NUM
cana-2147	166	24	%	%	NOUN
cana-2147	166	25	.	.	PUNCT
cana-2147	167	1	the	the	DET
cana-2147	167	2	confusion	confusion	NOUN
cana-2147	167	3	matrix	matrix	NOUN
cana-2147	167	4	revealed	reveal	VERB
cana-2147	167	5	potential	potential	ADJ
cana-2147	167	6	misclassifications	misclassification	NOUN
cana-2147	167	7	between	between	ADP
cana-2147	167	8	certain	certain	ADJ
cana-2147	167	9	emotion	emotion	NOUN
cana-2147	167	10	categories	category	NOUN
cana-2147	167	11	,	,	PUNCT
cana-2147	167	12	which	which	PRON
cana-2147	167	13	could	could	AUX
cana-2147	167	14	be	be	AUX
cana-2147	167	15	addressed	address	VERB
cana-2147	167	16	through	through	ADP
cana-2147	167	17	further	further	ADJ
cana-2147	167	18	model	model	NOUN
cana-2147	167	19	refinement	refinement	NOUN
cana-2147	167	20	or	or	CCONJ
cana-2147	167	21	data	datum	NOUN
cana-2147	167	22	augmentation	augmentation	NOUN
cana-2147	167	23	.	.	PUNCT
cana-2147	168	1	communications	communication	NOUN
cana-2147	168	2	on	on	ADP
cana-2147	168	3	applied	apply	VERB
cana-2147	168	4	nonlinear	nonlinear	ADJ
cana-2147	168	5	analysis	analysis	NOUN
cana-2147	168	6	issn	issn	NOUN
cana-2147	168	7	:	:	PUNCT
cana-2147	168	8	1074	1074	NUM
cana-2147	168	9	-	-	PUNCT
cana-2147	168	10	133x	133x	NUM
cana-2147	168	11	vol	vol	NOUN
cana-2147	168	12	32	32	NUM
cana-2147	168	13	no	no	NOUN
cana-2147	168	14	.	.	PUNCT
cana-2147	169	1	1s	1s	NUM
cana-2147	169	2	(	(	PUNCT
cana-2147	169	3	2025	2025	NUM
cana-2147	169	4	)	)	PUNCT
cana-2147	169	5	191	191	NUM
cana-2147	169	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2147	169	7	model	model	NOUN
cana-2147	169	8	outputs	output	NOUN
cana-2147	169	9	:	:	PUNCT
cana-2147	169	10	communications	communication	NOUN
cana-2147	169	11	on	on	ADP
cana-2147	169	12	applied	apply	VERB
cana-2147	169	13	nonlinear	nonlinear	ADJ
cana-2147	169	14	analysis	analysis	NOUN
cana-2147	169	15	issn	issn	NOUN
cana-2147	169	16	:	:	PUNCT
cana-2147	169	17	1074	1074	NUM
cana-2147	169	18	-	-	PUNCT
cana-2147	169	19	133x	133x	NUM
cana-2147	169	20	vol	vol	NOUN
cana-2147	169	21	32	32	NUM
cana-2147	169	22	no	no	NOUN
cana-2147	169	23	.	.	PUNCT
cana-2147	170	1	1s	1s	NUM
cana-2147	170	2	(	(	PUNCT
cana-2147	170	3	2025	2025	NUM
cana-2147	170	4	)	)	PUNCT
cana-2147	170	5	192	192	NUM
cana-2147	170	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2147	170	7	vi	vi	PROPN
cana-2147	170	8	.	.	PROPN
cana-2147	170	9	conclusion	conclusion	NOUN
cana-2147	170	10	this	this	DET
cana-2147	170	11	research	research	NOUN
cana-2147	170	12	presents	present	VERB
cana-2147	170	13	a	a	DET
cana-2147	170	14	novel	novel	ADJ
cana-2147	170	15	approach	approach	NOUN
cana-2147	170	16	to	to	ADP
cana-2147	170	17	emotion	emotion	NOUN
cana-2147	170	18	recognition	recognition	NOUN
cana-2147	170	19	and	and	CCONJ
cana-2147	170	20	analysis	analysis	NOUN
cana-2147	170	21	by	by	ADP
cana-2147	170	22	integrating	integrate	VERB
cana-2147	170	23	multimodal	multimodal	NOUN
cana-2147	170	24	data	datum	NOUN
cana-2147	170	25	,	,	PUNCT
cana-2147	170	26	including	include	VERB
cana-2147	170	27	image	image	NOUN
cana-2147	170	28	,	,	PUNCT
cana-2147	170	29	video	video	NOUN
cana-2147	170	30	,	,	PUNCT
cana-2147	170	31	audio	audio	NOUN
cana-2147	170	32	,	,	PUNCT
cana-2147	170	33	and	and	CCONJ
cana-2147	170	34	text	text	NOUN
cana-2147	170	35	.	.	PUNCT
cana-2147	171	1	the	the	DET
cana-2147	171	2	proposed	propose	VERB
cana-2147	171	3	system	system	NOUN
cana-2147	171	4	successfully	successfully	ADV
cana-2147	171	5	employs	employ	VERB
cana-2147	171	6	deep	deep	ADJ
cana-2147	171	7	learning	learning	NOUN
cana-2147	171	8	models	model	NOUN
cana-2147	171	9	to	to	PART
cana-2147	171	10	extract	extract	VERB
cana-2147	171	11	relevant	relevant	ADJ
cana-2147	171	12	features	feature	NOUN
cana-2147	171	13	and	and	CCONJ
cana-2147	171	14	classify	classify	VERB
cana-2147	171	15	emotions	emotion	NOUN
cana-2147	171	16	with	with	ADP
cana-2147	171	17	high	high	ADJ
cana-2147	171	18	accuracy	accuracy	NOUN
cana-2147	171	19	.	.	PUNCT
cana-2147	172	1	the	the	DET
cana-2147	172	2	integration	integration	NOUN
cana-2147	172	3	of	of	ADP
cana-2147	172	4	these	these	DET
cana-2147	172	5	modalities	modality	NOUN
cana-2147	172	6	significantly	significantly	ADV
cana-2147	172	7	enhances	enhance	VERB
cana-2147	172	8	the	the	DET
cana-2147	172	9	system	system	NOUN
cana-2147	172	10	's	's	PART
cana-2147	172	11	ability	ability	NOUN
cana-2147	172	12	to	to	PART
cana-2147	172	13	capture	capture	VERB
cana-2147	172	14	the	the	DET
cana-2147	172	15	complexity	complexity	NOUN
cana-2147	172	16	of	of	ADP
cana-2147	172	17	human	human	ADJ
cana-2147	172	18	emotions	emotion	NOUN
cana-2147	172	19	.	.	PUNCT
cana-2147	173	1	the	the	DET
cana-2147	173	2	analysis	analysis	NOUN
cana-2147	173	3	of	of	ADP
cana-2147	173	4	emotional	emotional	ADJ
cana-2147	173	5	patterns	pattern	NOUN
cana-2147	173	6	over	over	ADP
cana-2147	173	7	time	time	NOUN
cana-2147	173	8	provides	provide	VERB
cana-2147	173	9	valuable	valuable	ADJ
cana-2147	173	10	insights	insight	NOUN
cana-2147	173	11	into	into	ADP
cana-2147	173	12	user	user	NOUN
cana-2147	173	13	well	well	ADV
cana-2147	173	14	-	-	PUNCT
cana-2147	173	15	being	being	NOUN
cana-2147	173	16	.	.	PUNCT
cana-2147	174	1	by	by	ADP
cana-2147	174	2	monitoring	monitor	VERB
cana-2147	174	3	changes	change	NOUN
cana-2147	174	4	in	in	ADP
cana-2147	174	5	emotional	emotional	ADJ
cana-2147	174	6	states	state	NOUN
cana-2147	174	7	,	,	PUNCT
cana-2147	174	8	the	the	DET
cana-2147	174	9	system	system	NOUN
cana-2147	174	10	can	can	AUX
cana-2147	174	11	identify	identify	VERB
cana-2147	174	12	potential	potential	ADJ
cana-2147	174	13	signs	sign	NOUN
cana-2147	174	14	of	of	ADP
cana-2147	174	15	distress	distress	NOUN
cana-2147	174	16	or	or	CCONJ
cana-2147	174	17	emotional	emotional	ADJ
cana-2147	174	18	instability	instability	NOUN
cana-2147	174	19	.	.	PUNCT
cana-2147	175	1	the	the	DET
cana-2147	175	2	incorporation	incorporation	NOUN
cana-2147	175	3	of	of	ADP
cana-2147	175	4	suicide	suicide	NOUN
cana-2147	175	5	risk	risk	NOUN
cana-2147	175	6	prediction	prediction	NOUN
cana-2147	175	7	based	base	VERB
cana-2147	175	8	on	on	ADP
cana-2147	175	9	emotional	emotional	ADJ
cana-2147	175	10	indicators	indicator	NOUN
cana-2147	175	11	is	be	AUX
cana-2147	175	12	a	a	DET
cana-2147	175	13	significant	significant	ADJ
cana-2147	175	14	step	step	NOUN
cana-2147	175	15	towards	towards	ADP
cana-2147	175	16	early	early	ADJ
cana-2147	175	17	intervention	intervention	NOUN
cana-2147	175	18	and	and	CCONJ
cana-2147	175	19	prevention	prevention	NOUN
cana-2147	175	20	.	.	PUNCT
cana-2147	176	1	the	the	DET
cana-2147	176	2	experimental	experimental	ADJ
cana-2147	176	3	results	result	NOUN
cana-2147	176	4	demonstrate	demonstrate	VERB
cana-2147	176	5	the	the	DET
cana-2147	176	6	effectiveness	effectiveness	NOUN
cana-2147	176	7	of	of	ADP
cana-2147	176	8	the	the	DET
cana-2147	176	9	proposed	propose	VERB
cana-2147	176	10	system	system	NOUN
cana-2147	176	11	in	in	ADP
cana-2147	176	12	accurately	accurately	ADV
cana-2147	176	13	recognizing	recognize	VERB
cana-2147	176	14	emotions	emotion	NOUN
cana-2147	176	15	across	across	ADP
cana-2147	176	16	different	different	ADJ
cana-2147	176	17	modalities	modality	NOUN
cana-2147	176	18	.	.	PUNCT
cana-2147	177	1	the	the	DET
cana-2147	177	2	models	model	NOUN
cana-2147	177	3	exhibited	exhibit	VERB
cana-2147	177	4	strong	strong	ADJ
cana-2147	177	5	performance	performance	NOUN
cana-2147	177	6	in	in	ADP
cana-2147	177	7	terms	term	NOUN
cana-2147	177	8	of	of	ADP
cana-2147	177	9	accuracy	accuracy	NOUN
cana-2147	177	10	,	,	PUNCT
cana-2147	177	11	precision	precision	NOUN
cana-2147	177	12	,	,	PUNCT
cana-2147	177	13	and	and	CCONJ
cana-2147	177	14	recall	recall	NOUN
cana-2147	177	15	,	,	PUNCT
cana-2147	177	16	indicating	indicate	VERB
cana-2147	177	17	their	their	PRON
cana-2147	177	18	potential	potential	NOUN
cana-2147	177	19	for	for	ADP
cana-2147	177	20	real	real	ADJ
cana-2147	177	21	-	-	PUNCT
cana-2147	177	22	world	world	NOUN
cana-2147	177	23	applications	application	NOUN
cana-2147	177	24	.	.	PUNCT
cana-2147	178	1	while	while	SCONJ
cana-2147	178	2	the	the	DET
cana-2147	178	3	communications	communication	NOUN
cana-2147	178	4	on	on	ADP
cana-2147	178	5	applied	apply	VERB
cana-2147	178	6	nonlinear	nonlinear	ADJ
cana-2147	178	7	analysis	analysis	NOUN
cana-2147	178	8	issn	issn	NOUN
cana-2147	178	9	:	:	PUNCT
cana-2147	178	10	1074	1074	NUM
cana-2147	178	11	-	-	PUNCT
cana-2147	178	12	133x	133x	NUM
cana-2147	178	13	vol	vol	NOUN
cana-2147	178	14	32	32	NUM
cana-2147	178	15	no	no	NOUN
cana-2147	178	16	.	.	PUNCT
cana-2147	179	1	1s	1s	NUM
cana-2147	179	2	(	(	PUNCT
cana-2147	179	3	2025	2025	NUM
cana-2147	179	4	)	)	PUNCT
cana-2147	179	5	193	193	NUM
cana-2147	179	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2147	179	7	system	system	NOUN
cana-2147	179	8	shows	show	VERB
cana-2147	179	9	promising	promise	VERB
cana-2147	179	10	results	result	NOUN
cana-2147	179	11	,	,	PUNCT
cana-2147	179	12	further	further	ADJ
cana-2147	179	13	research	research	NOUN
cana-2147	179	14	is	be	AUX
cana-2147	179	15	needed	need	VERB
cana-2147	179	16	to	to	PART
cana-2147	179	17	refine	refine	VERB
cana-2147	179	18	the	the	DET
cana-2147	179	19	models	model	NOUN
cana-2147	179	20	and	and	CCONJ
cana-2147	179	21	expand	expand	VERB
cana-2147	179	22	the	the	DET
cana-2147	179	23	dataset	dataset	NOUN
cana-2147	179	24	to	to	PART
cana-2147	179	25	improve	improve	VERB
cana-2147	179	26	generalization	generalization	NOUN
cana-2147	179	27	and	and	CCONJ
cana-2147	179	28	robustness	robustness	NOUN
cana-2147	179	29	.	.	PUNCT
cana-2147	180	1	future	future	ADJ
cana-2147	180	2	scope	scope	NOUN
cana-2147	180	3	building	build	VERB
cana-2147	180	4	upon	upon	SCONJ
cana-2147	180	5	the	the	DET
cana-2147	180	6	success	success	NOUN
cana-2147	180	7	of	of	ADP
cana-2147	180	8	this	this	DET
cana-2147	180	9	research	research	NOUN
cana-2147	180	10	,	,	PUNCT
cana-2147	180	11	future	future	ADJ
cana-2147	180	12	work	work	NOUN
cana-2147	180	13	will	will	AUX
cana-2147	180	14	focus	focus	VERB
cana-2147	180	15	on	on	ADP
cana-2147	180	16	several	several	ADJ
cana-2147	180	17	key	key	ADJ
cana-2147	180	18	areas	area	NOUN
cana-2147	180	19	:	:	PUNCT
cana-2147	180	20	enhancing	enhance	VERB
cana-2147	180	21	model	model	NOUN
cana-2147	180	22	performance	performance	NOUN
cana-2147	180	23	:	:	PUNCT
cana-2147	180	24	investigating	investigate	VERB
cana-2147	180	25	advanced	advanced	ADJ
cana-2147	180	26	deep	deep	ADJ
cana-2147	180	27	learning	learning	NOUN
cana-2147	180	28	architectures	architecture	NOUN
cana-2147	180	29	and	and	CCONJ
cana-2147	180	30	exploring	explore	VERB
cana-2147	180	31	transfer	transfer	NOUN
cana-2147	180	32	learning	learn	VERB
cana-2147	180	33	techniques	technique	NOUN
cana-2147	180	34	to	to	PART
cana-2147	180	35	improve	improve	VERB
cana-2147	180	36	the	the	DET
cana-2147	180	37	accuracy	accuracy	NOUN
cana-2147	180	38	and	and	CCONJ
cana-2147	180	39	efficiency	efficiency	NOUN
cana-2147	180	40	of	of	ADP
cana-2147	180	41	emotion	emotion	NOUN
cana-2147	180	42	recognition	recognition	NOUN
cana-2147	180	43	models	model	NOUN
cana-2147	180	44	.	.	PUNCT
cana-2147	181	1	real	real	ADJ
cana-2147	181	2	-	-	PUNCT
cana-2147	181	3	time	time	NOUN
cana-2147	181	4	implementation	implementation	NOUN
cana-2147	181	5	:	:	PUNCT
cana-2147	181	6	developing	develop	VERB
cana-2147	181	7	a	a	DET
cana-2147	181	8	real	real	ADJ
cana-2147	181	9	-	-	PUNCT
cana-2147	181	10	time	time	NOUN
cana-2147	181	11	system	system	NOUN
cana-2147	181	12	capable	capable	ADJ
cana-2147	181	13	of	of	ADP
cana-2147	181	14	processing	process	VERB
cana-2147	181	15	multimodal	multimodal	NOUN
cana-2147	181	16	data	datum	NOUN
cana-2147	181	17	streams	stream	VERB
cana-2147	181	18	efficiently	efficiently	ADV
cana-2147	181	19	for	for	ADP
cana-2147	181	20	immediate	immediate	ADJ
cana-2147	181	21	emotion	emotion	NOUN
cana-2147	181	22	detection	detection	NOUN
cana-2147	181	23	and	and	CCONJ
cana-2147	181	24	analysis	analysis	NOUN
cana-2147	181	25	.	.	PUNCT
cana-2147	182	1	longitudinal	longitudinal	ADJ
cana-2147	182	2	studies	study	NOUN
cana-2147	182	3	:	:	PUNCT
cana-2147	182	4	conducting	conduct	VERB
cana-2147	182	5	longitudinal	longitudinal	ADJ
cana-2147	182	6	studies	study	NOUN
cana-2147	182	7	to	to	PART
cana-2147	182	8	assess	assess	VERB
cana-2147	182	9	the	the	DET
cana-2147	182	10	system	system	NOUN
cana-2147	182	11	's	's	PART
cana-2147	182	12	ability	ability	NOUN
cana-2147	182	13	to	to	PART
cana-2147	182	14	track	track	VERB
cana-2147	182	15	changes	change	NOUN
cana-2147	182	16	in	in	ADP
cana-2147	182	17	emotional	emotional	ADJ
cana-2147	182	18	states	state	NOUN
cana-2147	182	19	over	over	ADP
cana-2147	182	20	extended	extended	ADJ
cana-2147	182	21	periods	period	NOUN
cana-2147	182	22	and	and	CCONJ
cana-2147	182	23	its	its	PRON
cana-2147	182	24	effectiveness	effectiveness	NOUN
cana-2147	182	25	in	in	ADP
cana-2147	182	26	predicting	predict	VERB
cana-2147	182	27	long	long	ADJ
cana-2147	182	28	-	-	PUNCT
cana-2147	182	29	term	term	NOUN
cana-2147	182	30	well	well	ADV
cana-2147	182	31	-	-	PUNCT
cana-2147	182	32	being	be	AUX
cana-2147	182	33	outcomes	outcome	NOUN
cana-2147	182	34	.	.	PUNCT
cana-2147	183	1	personalized	personalized	ADJ
cana-2147	183	2	recommendations	recommendation	NOUN
cana-2147	183	3	:	:	PUNCT
cana-2147	183	4	developing	develop	VERB
cana-2147	183	5	more	more	ADV
cana-2147	183	6	sophisticated	sophisticated	ADJ
cana-2147	183	7	recommendation	recommendation	NOUN
cana-2147	183	8	systems	system	NOUN
cana-2147	183	9	tailored	tailor	VERB
cana-2147	183	10	to	to	ADP
cana-2147	183	11	individual	individual	ADJ
cana-2147	183	12	users	user	NOUN
cana-2147	183	13	based	base	VERB
cana-2147	183	14	on	on	ADP
cana-2147	183	15	their	their	PRON
cana-2147	183	16	emotional	emotional	ADJ
cana-2147	183	17	profiles	profile	NOUN
cana-2147	183	18	and	and	CCONJ
cana-2147	183	19	preferences	preference	NOUN
cana-2147	183	20	.	.	PUNCT
cana-2147	184	1	ethical	ethical	ADJ
cana-2147	184	2	considerations	consideration	NOUN
cana-2147	184	3	:	:	PUNCT
cana-2147	184	4	addressing	address	VERB
cana-2147	184	5	ethical	ethical	ADJ
cana-2147	184	6	challenges	challenge	NOUN
cana-2147	184	7	related	relate	VERB
cana-2147	184	8	to	to	ADP
cana-2147	184	9	privacy	privacy	NOUN
cana-2147	184	10	,	,	PUNCT
cana-2147	184	11	data	datum	NOUN
cana-2147	184	12	security	security	NOUN
cana-2147	184	13	,	,	PUNCT
cana-2147	184	14	and	and	CCONJ
cana-2147	184	15	bias	bias	NOUN
cana-2147	184	16	in	in	ADP
cana-2147	184	17	emotion	emotion	NOUN
cana-2147	184	18	recognition	recognition	NOUN
cana-2147	184	19	systems	system	NOUN
cana-2147	184	20	.	.	PUNCT
cana-2147	185	1	clinical	clinical	ADJ
cana-2147	185	2	validation	validation	NOUN
cana-2147	185	3	:	:	PUNCT
cana-2147	185	4	collaborating	collaborate	VERB
cana-2147	185	5	with	with	ADP
cana-2147	185	6	mental	mental	ADJ
cana-2147	185	7	health	health	NOUN
cana-2147	185	8	professionals	professional	NOUN
cana-2147	185	9	to	to	PART
cana-2147	185	10	evaluate	evaluate	VERB
cana-2147	185	11	the	the	DET
cana-2147	185	12	system	system	NOUN
cana-2147	185	13	's	's	PART
cana-2147	185	14	clinical	clinical	ADJ
cana-2147	185	15	utility	utility	NOUN
cana-2147	185	16	and	and	CCONJ
cana-2147	185	17	its	its	PRON
cana-2147	185	18	potential	potential	ADJ
cana-2147	185	19	impact	impact	NOUN
cana-2147	185	20	on	on	ADP
cana-2147	185	21	mental	mental	ADJ
cana-2147	185	22	health	health	NOUN
cana-2147	185	23	care	care	NOUN
cana-2147	185	24	.	.	PUNCT
cana-2147	186	1	by	by	ADP
cana-2147	186	2	addressing	address	VERB
cana-2147	186	3	these	these	DET
cana-2147	186	4	areas	area	NOUN
cana-2147	186	5	,	,	PUNCT
cana-2147	186	6	future	future	ADJ
cana-2147	186	7	research	research	NOUN
cana-2147	186	8	can	can	AUX
cana-2147	186	9	contribute	contribute	VERB
cana-2147	186	10	to	to	ADP
cana-2147	186	11	the	the	DET
cana-2147	186	12	development	development	NOUN
cana-2147	186	13	of	of	ADP
cana-2147	186	14	robust	robust	ADJ
cana-2147	186	15	and	and	CCONJ
cana-2147	186	16	reliable	reliable	ADJ
cana-2147	186	17	emotion	emotion	NOUN
cana-2147	186	18	recognition	recognition	NOUN
cana-2147	186	19	systems	system	NOUN
cana-2147	186	20	with	with	ADP
cana-2147	186	21	significant	significant	ADJ
cana-2147	186	22	implications	implication	NOUN
cana-2147	186	23	for	for	ADP
cana-2147	186	24	mental	mental	ADJ
cana-2147	186	25	health	health	NOUN
cana-2147	186	26	monitoring	monitoring	NOUN
cana-2147	186	27	and	and	CCONJ
cana-2147	186	28	intervention	intervention	NOUN
cana-2147	186	29	.	.	PUNCT
cana-2147	187	1	references	reference	NOUN
cana-2147	187	2	[	[	X
cana-2147	187	3	1	1	NUM
cana-2147	187	4	]	]	X
cana-2147	187	5	kessler	kessler	PROPN
cana-2147	187	6	,	,	PUNCT
cana-2147	187	7	ronald	ronald	PROPN
cana-2147	187	8	c.	c.	PROPN
cana-2147	187	9	,	,	PUNCT
cana-2147	187	10	et	et	PROPN
cana-2147	187	11	al	al	PROPN
cana-2147	187	12	.	.	PUNCT
cana-2147	188	1	"	"	PUNCT
cana-2147	188	2	suicide	suicide	NOUN
cana-2147	188	3	prediction	prediction	NOUN
cana-2147	188	4	models	model	NOUN
cana-2147	188	5	:	:	PUNCT
cana-2147	188	6	a	a	DET
cana-2147	188	7	critical	critical	ADJ
cana-2147	188	8	review	review	NOUN
cana-2147	188	9	of	of	ADP
cana-2147	188	10	recent	recent	ADJ
cana-2147	188	11	research	research	NOUN
cana-2147	188	12	with	with	ADP
cana-2147	188	13	recommendations	recommendation	NOUN
cana-2147	188	14	for	for	ADP
cana-2147	188	15	the	the	DET
cana-2147	188	16	way	way	NOUN
cana-2147	188	17	forward	forward	ADV
cana-2147	188	18	.	.	PUNCT
cana-2147	188	19	"	"	PUNCT
cana-2147	189	1	molecular	molecular	ADJ
cana-2147	189	2	psychiatry	psychiatry	NOUN
cana-2147	189	3	25.1	25.1	NUM
cana-2147	189	4	(	(	PUNCT
cana-2147	189	5	2020	2020	NUM
cana-2147	189	6	):	):	PUNCT
cana-2147	189	7	168	168	NUM
cana-2147	189	8	-	-	SYM
cana-2147	189	9	179	179	NUM
cana-2147	189	10	.	.	PUNCT
cana-2147	190	1	[	[	X
cana-2147	190	2	2	2	NUM
cana-2147	190	3	]	]	X
cana-2147	190	4	belsher	belsher	NOUN
cana-2147	190	5	,	,	PUNCT
cana-2147	190	6	bradley	bradley	PROPN
cana-2147	190	7	e.	e.	PROPN
cana-2147	190	8	,	,	PUNCT
cana-2147	190	9	et	et	PROPN
cana-2147	190	10	al	al	PROPN
cana-2147	190	11	.	.	PUNCT
cana-2147	191	1	"	"	PUNCT
cana-2147	191	2	prediction	prediction	NOUN
cana-2147	191	3	models	model	NOUN
cana-2147	191	4	for	for	ADP
cana-2147	191	5	suicide	suicide	NOUN
cana-2147	191	6	attempts	attempt	NOUN
cana-2147	191	7	and	and	CCONJ
cana-2147	191	8	deaths	death	NOUN
cana-2147	191	9	:	:	PUNCT
cana-2147	191	10	a	a	DET
cana-2147	191	11	systematic	systematic	ADJ
cana-2147	191	12	review	review	NOUN
cana-2147	191	13	and	and	CCONJ
cana-2147	191	14	simulation	simulation	NOUN
cana-2147	191	15	.	.	PUNCT
cana-2147	191	16	"	"	PUNCT
cana-2147	192	1	jama	jama	PROPN
cana-2147	192	2	psychiatry	psychiatry	NOUN
cana-2147	192	3	76.6	76.6	NUM
cana-2147	192	4	(	(	PUNCT
cana-2147	192	5	2019	2019	NUM
cana-2147	192	6	):	):	PUNCT
cana-2147	192	7	642	642	NUM
cana-2147	192	8	-	-	SYM
cana-2147	192	9	651	651	NUM
cana-2147	192	10	.	.	PUNCT
cana-2147	193	1	[	[	X
cana-2147	193	2	3	3	NUM
cana-2147	193	3	]	]	X
cana-2147	193	4	large	large	ADJ
cana-2147	193	5	,	,	PUNCT
cana-2147	193	6	matthew	matthew	PROPN
cana-2147	193	7	michael	michael	PROPN
cana-2147	193	8	.	.	PUNCT
cana-2147	194	1	"	"	PUNCT
cana-2147	194	2	the	the	DET
cana-2147	194	3	role	role	NOUN
cana-2147	194	4	of	of	ADP
cana-2147	194	5	prediction	prediction	NOUN
cana-2147	194	6	in	in	ADP
cana-2147	194	7	suicide	suicide	NOUN
cana-2147	194	8	prevention	prevention	NOUN
cana-2147	194	9	.	.	PUNCT
cana-2147	194	10	"	"	PUNCT
cana-2147	195	1	dialogues	dialogue	NOUN
cana-2147	195	2	in	in	ADP
cana-2147	195	3	clinical	clinical	ADJ
cana-2147	195	4	neuroscience	neuroscience	NOUN
cana-2147	195	5	20.3	20.3	NUM
cana-2147	195	6	(	(	PUNCT
cana-2147	195	7	2018	2018	NUM
cana-2147	195	8	):	):	PUNCT
cana-2147	195	9	197	197	NUM
cana-2147	195	10	-	-	SYM
cana-2147	195	11	205	205	NUM
cana-2147	195	12	.	.	PUNCT
cana-2147	196	1	[	[	X
cana-2147	196	2	4	4	NUM
cana-2147	196	3	]	]	X
cana-2147	196	4	pokorny	pokorny	PROPN
cana-2147	196	5	,	,	PUNCT
cana-2147	196	6	alex	alex	PROPN
cana-2147	196	7	d.	d.	PROPN
cana-2147	196	8	"	"	PUNCT
cana-2147	196	9	suicide	suicide	NOUN
cana-2147	196	10	prediction	prediction	NOUN
cana-2147	196	11	revisited	revisit	VERB
cana-2147	196	12	.	.	PUNCT
cana-2147	196	13	"	"	PUNCT
cana-2147	197	1	suicide	suicide	NOUN
cana-2147	197	2	and	and	CCONJ
cana-2147	197	3	life‐threatening	life‐threatening	NOUN
cana-2147	197	4	behavior	behavior	NOUN
cana-2147	197	5	23.1	23.1	NUM
cana-2147	197	6	(	(	PUNCT
cana-2147	197	7	1993	1993	NUM
cana-2147	197	8	):	):	PUNCT
cana-2147	197	9	1	1	NUM
cana-2147	197	10	-	-	SYM
cana-2147	197	11	10	10	NUM
cana-2147	197	12	.	.	PUNCT
cana-2147	198	1	[	[	X
cana-2147	198	2	5	5	NUM
cana-2147	198	3	]	]	X
cana-2147	198	4	mann	mann	PROPN
cana-2147	198	5	,	,	PUNCT
cana-2147	198	6	j.	j.	PROPN
cana-2147	198	7	john	john	PROPN
cana-2147	198	8	,	,	PUNCT
cana-2147	198	9	et	et	PROPN
cana-2147	198	10	al	al	PROPN
cana-2147	198	11	.	.	PUNCT
cana-2147	199	1	"	"	PUNCT
cana-2147	199	2	suicide	suicide	NOUN
cana-2147	199	3	prevention	prevention	NOUN
cana-2147	199	4	strategies	strategy	NOUN
cana-2147	199	5	:	:	PUNCT
cana-2147	199	6	a	a	DET
cana-2147	199	7	systematic	systematic	ADJ
cana-2147	199	8	review	review	NOUN
cana-2147	199	9	.	.	PUNCT
cana-2147	199	10	"	"	PUNCT
cana-2147	200	1	jama	jama	PROPN
cana-2147	200	2	294.16	294.16	NUM
cana-2147	200	3	(	(	PUNCT
cana-2147	200	4	2005	2005	NUM
cana-2147	200	5	):	):	PUNCT
cana-2147	200	6	2064	2064	NUM
cana-2147	200	7	-	-	SYM
cana-2147	200	8	2074	2074	NUM
cana-2147	200	9	.	.	PUNCT
cana-2147	201	1	[	[	X
cana-2147	201	2	6	6	NUM
cana-2147	201	3	]	]	X
cana-2147	201	4	zalsman	zalsman	NOUN
cana-2147	201	5	,	,	PUNCT
cana-2147	201	6	gil	gil	PROPN
cana-2147	201	7	,	,	PUNCT
cana-2147	201	8	et	et	PROPN
cana-2147	201	9	al	al	PROPN
cana-2147	201	10	.	.	PUNCT
cana-2147	201	11	"	"	PUNCT
cana-2147	201	12	suicide	suicide	NOUN
cana-2147	201	13	prevention	prevention	NOUN
cana-2147	201	14	strategies	strategy	NOUN
cana-2147	201	15	revisited	revisit	VERB
cana-2147	201	16	:	:	PUNCT
cana-2147	201	17	10	10	NUM
cana-2147	201	18	-	-	PUNCT
cana-2147	201	19	year	year	NOUN
cana-2147	201	20	systematic	systematic	ADJ
cana-2147	201	21	review	review	NOUN
cana-2147	201	22	.	.	PUNCT
cana-2147	201	23	"	"	PUNCT
cana-2147	202	1	the	the	DET
cana-2147	202	2	lancet	lancet	PROPN
cana-2147	202	3	psychiatry	psychiatry	NOUN
cana-2147	202	4	3.7	3.7	NUM
cana-2147	202	5	(	(	PUNCT
cana-2147	202	6	2016	2016	NUM
cana-2147	202	7	):	):	PUNCT
cana-2147	202	8	646	646	NUM
cana-2147	202	9	-	-	SYM
cana-2147	202	10	659	659	NUM
cana-2147	202	11	.	.	PUNCT
cana-2147	203	1	[	[	X
cana-2147	203	2	7	7	NUM
cana-2147	203	3	]	]	SYM
cana-2147	203	4	wu	wu	PROPN
cana-2147	203	5	,	,	PUNCT
cana-2147	203	6	kevin	kevin	PROPN
cana-2147	203	7	chien	chien	PROPN
cana-2147	203	8	-	-	PUNCT
cana-2147	203	9	chang	chang	PROPN
cana-2147	203	10	,	,	PUNCT
cana-2147	203	11	ying	ying	PROPN
cana-2147	203	12	-	-	PUNCT
cana-2147	203	13	yeh	yeh	PROPN
cana-2147	203	14	chen	chen	PROPN
cana-2147	203	15	,	,	PUNCT
cana-2147	203	16	and	and	CCONJ
cana-2147	203	17	paul	paul	PROPN
cana-2147	203	18	sf	sf	PROPN
cana-2147	203	19	yip	yip	PROPN
cana-2147	203	20	.	.	PUNCT
cana-2147	204	1	"	"	PUNCT
cana-2147	204	2	suicide	suicide	NOUN
cana-2147	204	3	methods	method	NOUN
cana-2147	204	4	in	in	ADP
cana-2147	204	5	asia	asia	PROPN
cana-2147	204	6	:	:	PUNCT
cana-2147	204	7	implications	implication	NOUN
cana-2147	204	8	in	in	ADP
cana-2147	204	9	suicide	suicide	NOUN
cana-2147	204	10	prevention	prevention	NOUN
cana-2147	204	11	.	.	PUNCT
cana-2147	204	12	"	"	PUNCT
cana-2147	205	1	international	international	ADJ
cana-2147	205	2	journal	journal	NOUN
cana-2147	205	3	of	of	ADP
cana-2147	205	4	environmental	environmental	ADJ
cana-2147	205	5	research	research	NOUN
cana-2147	205	6	and	and	CCONJ
cana-2147	205	7	public	public	ADJ
cana-2147	205	8	health	health	NOUN
cana-2147	205	9	9.4	9.4	NUM
cana-2147	205	10	(	(	PUNCT
cana-2147	205	11	2012	2012	NUM
cana-2147	205	12	):	):	PUNCT
cana-2147	205	13	1135	1135	NUM
cana-2147	205	14	-	-	SYM
cana-2147	205	15	1158	1158	NUM
cana-2147	205	16	.	.	PUNCT
cana-2147	206	1	[	[	X
cana-2147	206	2	8	8	NUM
cana-2147	206	3	]	]	X
cana-2147	206	4	goldney	goldney	NOUN
cana-2147	206	5	,	,	PUNCT
cana-2147	206	6	robert	robert	PROPN
cana-2147	206	7	d.	d.	PROPN
cana-2147	206	8	suicide	suicide	PROPN
cana-2147	206	9	prevention	prevention	NOUN
cana-2147	206	10	.	.	PUNCT
cana-2147	207	1	oxford	oxford	PROPN
cana-2147	207	2	university	university	PROPN
cana-2147	207	3	press	press	PROPN
cana-2147	207	4	,	,	PUNCT
cana-2147	207	5	usa	usa	PROPN
cana-2147	207	6	,	,	PUNCT
cana-2147	207	7	2013	2013	NUM
cana-2147	207	8	.	.	PUNCT
cana-2147	208	1	[	[	X
cana-2147	208	2	9	9	NUM
cana-2147	208	3	]	]	SYM
cana-2147	208	4	turecki	turecki	NOUN
cana-2147	208	5	,	,	PUNCT
cana-2147	208	6	gustavo	gustavo	PROPN
cana-2147	208	7	,	,	PUNCT
cana-2147	208	8	et	et	PROPN
cana-2147	208	9	al	al	PROPN
cana-2147	208	10	.	.	PUNCT
cana-2147	208	11	"	"	PUNCT
cana-2147	208	12	suicide	suicide	NOUN
cana-2147	208	13	and	and	CCONJ
cana-2147	208	14	suicide	suicide	NOUN
cana-2147	208	15	risk	risk	NOUN
cana-2147	208	16	.	.	PUNCT
cana-2147	208	17	"	"	PUNCT
cana-2147	209	1	nature	nature	NOUN
cana-2147	209	2	reviews	review	NOUN
cana-2147	209	3	disease	disease	NOUN
cana-2147	209	4	primers	primer	NOUN
cana-2147	209	5	5.1	5.1	NUM
cana-2147	209	6	(	(	PUNCT
cana-2147	209	7	2019	2019	NUM
cana-2147	209	8	):	):	PUNCT
cana-2147	209	9	74	74	NUM
cana-2147	209	10	.	.	PUNCT
cana-2147	210	1	[	[	X
cana-2147	210	2	10	10	NUM
cana-2147	210	3	]	]	X
cana-2147	210	4	hawton	hawton	PROPN
cana-2147	210	5	,	,	PUNCT
cana-2147	210	6	keith	keith	PROPN
cana-2147	210	7	.	.	PUNCT
cana-2147	211	1	"	"	PUNCT
cana-2147	211	2	assessment	assessment	NOUN
cana-2147	211	3	of	of	ADP
cana-2147	211	4	suicide	suicide	NOUN
cana-2147	211	5	risk	risk	NOUN
cana-2147	211	6	.	.	PUNCT
cana-2147	211	7	"	"	PUNCT
cana-2147	212	1	the	the	DET
cana-2147	212	2	british	british	PROPN
cana-2147	212	3	journal	journal	PROPN
cana-2147	212	4	of	of	ADP
cana-2147	212	5	psychiatry	psychiatry	NOUN
cana-2147	212	6	150.2	150.2	NUM
cana-2147	212	7	(	(	PUNCT
cana-2147	212	8	1987	1987	NUM
cana-2147	212	9	):	):	PUNCT
cana-2147	212	10	145	145	NUM
cana-2147	212	11	-	-	SYM
cana-2147	212	12	153	153	NUM
cana-2147	212	13	.	.	PUNCT
cana-2147	213	1	[	[	X
cana-2147	213	2	11	11	NUM
cana-2147	213	3	]	]	SYM
cana-2147	213	4	batbaatar	batbaatar	NOUN
cana-2147	213	5	,	,	PUNCT
cana-2147	213	6	erdenebileg	erdenebileg	NOUN
cana-2147	213	7	,	,	PUNCT
cana-2147	213	8	meijing	meijing	ADJ
cana-2147	213	9	li	li	PROPN
cana-2147	213	10	,	,	PUNCT
cana-2147	213	11	and	and	CCONJ
cana-2147	213	12	keun	keun	PROPN
cana-2147	213	13	ho	ho	PROPN
cana-2147	213	14	ryu	ryu	PROPN
cana-2147	213	15	.	.	PUNCT
cana-2147	214	1	"	"	PUNCT
cana-2147	214	2	semantic	semantic	ADJ
cana-2147	214	3	-	-	PUNCT
cana-2147	214	4	emotion	emotion	NOUN
cana-2147	214	5	neural	neural	ADJ
cana-2147	214	6	network	network	NOUN
cana-2147	214	7	for	for	ADP
cana-2147	214	8	emotion	emotion	NOUN
cana-2147	214	9	recognition	recognition	NOUN
cana-2147	214	10	from	from	ADP
cana-2147	214	11	text	text	NOUN
cana-2147	214	12	.	.	PUNCT
cana-2147	214	13	"	"	PUNCT
cana-2147	215	1	ieee	ieee	NOUN
cana-2147	215	2	access	access	NOUN
cana-2147	215	3	7	7	NUM
cana-2147	215	4	(	(	PUNCT
cana-2147	215	5	2019	2019	NUM
cana-2147	215	6	):	):	PUNCT
cana-2147	215	7	111866	111866	NUM
cana-2147	215	8	-	-	SYM
cana-2147	215	9	111878	111878	NUM
cana-2147	215	10	.	.	PUNCT
cana-2147	216	1	[	[	X
cana-2147	216	2	12	12	NUM
cana-2147	216	3	]	]	PUNCT
cana-2147	216	4	rajabi	rajabi	NOUN
cana-2147	216	5	,	,	PUNCT
cana-2147	216	6	zahra	zahra	NOUN
cana-2147	216	7	,	,	PUNCT
cana-2147	216	8	amarda	amarda	NOUN
cana-2147	216	9	shehu	shehu	NOUN
cana-2147	216	10	,	,	PUNCT
cana-2147	216	11	and	and	CCONJ
cana-2147	216	12	ozlem	ozlem	NOUN
cana-2147	216	13	uzuner	uzuner	NOUN
cana-2147	216	14	.	.	PUNCT
cana-2147	217	1	"	"	PUNCT
cana-2147	217	2	a	a	DET
cana-2147	217	3	multi	multi	ADJ
cana-2147	217	4	-	-	ADJ
cana-2147	217	5	channel	channel	ADJ
cana-2147	217	6	bilstm	bilstm	NOUN
cana-2147	217	7	-	-	PUNCT
cana-2147	217	8	cnn	cnn	PROPN
cana-2147	217	9	model	model	NOUN
cana-2147	217	10	for	for	ADP
cana-2147	217	11	multilabel	multilabel	NOUN
cana-2147	217	12	emotion	emotion	NOUN
cana-2147	217	13	classification	classification	NOUN
cana-2147	217	14	of	of	ADP
cana-2147	217	15	informal	informal	ADJ
cana-2147	217	16	text	text	NOUN
cana-2147	217	17	.	.	PUNCT
cana-2147	217	18	"	"	PUNCT
cana-2147	218	1	2020	2020	NUM
cana-2147	218	2	ieee	ieee	PROPN
cana-2147	218	3	14th	14th	ADJ
cana-2147	218	4	international	international	ADJ
cana-2147	218	5	conference	conference	NOUN
cana-2147	218	6	on	on	ADP
cana-2147	218	7	semantic	semantic	ADJ
cana-2147	218	8	computing	computing	NOUN
cana-2147	218	9	(	(	PUNCT
cana-2147	218	10	icsc	icsc	PROPN
cana-2147	218	11	)	)	PUNCT
cana-2147	218	12	.	.	PUNCT
cana-2147	219	1	ieee	ieee	PROPN
cana-2147	219	2	,	,	PUNCT
cana-2147	219	3	2020	2020	NUM
cana-2147	219	4	.	.	PUNCT
cana-2147	220	1	communications	communication	NOUN
cana-2147	220	2	on	on	ADP
cana-2147	220	3	applied	apply	VERB
cana-2147	220	4	nonlinear	nonlinear	ADJ
cana-2147	220	5	analysis	analysis	NOUN
cana-2147	220	6	issn	issn	NOUN
cana-2147	220	7	:	:	PUNCT
cana-2147	220	8	1074	1074	NUM
cana-2147	220	9	-	-	PUNCT
cana-2147	220	10	133x	133x	NUM
cana-2147	220	11	vol	vol	NOUN
cana-2147	220	12	32	32	NUM
cana-2147	220	13	no	no	NOUN
cana-2147	220	14	.	.	PUNCT
cana-2147	221	1	1s	1s	NUM
cana-2147	221	2	(	(	PUNCT
cana-2147	221	3	2025	2025	NUM
cana-2147	221	4	)	)	PUNCT
cana-2147	221	5	194	194	NUM
cana-2147	221	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2147	222	1	[	[	X
cana-2147	222	2	13	13	NUM
cana-2147	222	3	]	]	X
cana-2147	222	4	kim	kim	PROPN
cana-2147	222	5	,	,	PUNCT
cana-2147	222	6	hannah	hannah	PROPN
cana-2147	222	7	,	,	PUNCT
cana-2147	222	8	and	and	CCONJ
cana-2147	222	9	young	young	ADJ
cana-2147	222	10	-	-	PUNCT
cana-2147	222	11	seobjeong	seobjeong	NOUN
cana-2147	222	12	.	.	PUNCT
cana-2147	223	1	"	"	PUNCT
cana-2147	223	2	sentiment	sentiment	NOUN
cana-2147	223	3	classification	classification	NOUN
cana-2147	223	4	using	use	VERB
cana-2147	223	5	convolutional	convolutional	ADJ
cana-2147	223	6	neural	neural	ADJ
cana-2147	223	7	networks	network	NOUN
cana-2147	223	8	.	.	PUNCT
cana-2147	223	9	"	"	PUNCT
cana-2147	223	10	applied	apply	VERB
cana-2147	223	11	sciences	science	NOUN
cana-2147	223	12	9.11	9.11	NUM
cana-2147	223	13	(	(	PUNCT
cana-2147	223	14	2019	2019	NUM
cana-2147	223	15	):	):	PUNCT
cana-2147	223	16	2347	2347	NUM
cana-2147	223	17	.	.	PUNCT
cana-2147	224	1	[	[	X
cana-2147	224	2	14	14	NUM
cana-2147	224	3	]	]	X
cana-2147	224	4	bharti	bharti	PROPN
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cana-2147	224	6	santosh	santosh	PROPN
cana-2147	224	7	kumar	kumar	PROPN
cana-2147	224	8	,	,	PUNCT
cana-2147	224	9	et	et	PROPN
cana-2147	224	10	al	al	PROPN
cana-2147	224	11	.	.	PUNCT
cana-2147	225	1	"	"	PUNCT
cana-2147	225	2	text‐based	text‐base	VERB
cana-2147	225	3	emotion	emotion	NOUN
cana-2147	225	4	recognition	recognition	NOUN
cana-2147	225	5	using	use	VERB
cana-2147	225	6	deep	deep	ADJ
cana-2147	225	7	learning	learning	NOUN
cana-2147	225	8	approach	approach	NOUN
cana-2147	225	9	.	.	PUNCT
cana-2147	225	10	"	"	PUNCT
cana-2147	226	1	computational	computational	ADJ
cana-2147	226	2	intelligence	intelligence	NOUN
cana-2147	226	3	and	and	CCONJ
cana-2147	226	4	neuroscience	neuroscience	NOUN
cana-2147	226	5	2022.1	2022.1	NUM
cana-2147	226	6	(	(	PUNCT
cana-2147	226	7	2022	2022	NUM
cana-2147	226	8	):	):	PUNCT
cana-2147	226	9	2645381	2645381	NUM
cana-2147	226	10	.	.	PUNCT
cana-2147	227	1	[	[	X
cana-2147	227	2	15	15	NUM
cana-2147	227	3	]	]	X
cana-2147	227	4	park	park	NOUN
cana-2147	227	5	,	,	PUNCT
cana-2147	227	6	seo	seo	PROPN
cana-2147	227	7	-	-	PUNCT
cana-2147	227	8	hui	hui	PROPN
cana-2147	227	9	,	,	PUNCT
cana-2147	227	10	byung	byung	PROPN
cana-2147	227	11	-	-	PUNCT
cana-2147	227	12	chull	chull	PROPN
cana-2147	227	13	bae	bae	PROPN
cana-2147	227	14	,	,	PUNCT
cana-2147	227	15	and	and	CCONJ
cana-2147	227	16	yun	yun	PROPN
cana-2147	227	17	-	-	PUNCT
cana-2147	227	18	gyung	gyung	PROPN
cana-2147	227	19	cheong	cheong	PROPN
cana-2147	227	20	.	.	PUNCT
cana-2147	228	1	"	"	PUNCT
cana-2147	228	2	emotion	emotion	NOUN
cana-2147	228	3	recognition	recognition	NOUN
cana-2147	228	4	from	from	ADP
cana-2147	228	5	text	text	NOUN
cana-2147	228	6	stories	story	NOUN
cana-2147	228	7	using	use	VERB
cana-2147	228	8	an	an	DET
cana-2147	228	9	emotion	emotion	NOUN
cana-2147	228	10	embedding	embed	VERB
cana-2147	228	11	model	model	NOUN
cana-2147	228	12	.	.	PUNCT
cana-2147	228	13	"	"	PUNCT
cana-2147	229	1	2020	2020	NUM
cana-2147	229	2	ieee	ieee	PROPN
cana-2147	229	3	international	international	ADJ
cana-2147	229	4	conference	conference	NOUN
cana-2147	229	5	on	on	ADP
cana-2147	229	6	big	big	ADJ
cana-2147	229	7	data	datum	NOUN
cana-2147	229	8	and	and	CCONJ
cana-2147	229	9	smart	smart	ADJ
cana-2147	229	10	computing	computing	NOUN
cana-2147	229	11	(	(	PUNCT
cana-2147	229	12	bigcomp	bigcomp	NOUN
cana-2147	229	13	)	)	PUNCT
cana-2147	229	14	.	.	PUNCT
cana-2147	230	1	ieee	ieee	PROPN
cana-2147	230	2	,	,	PUNCT
cana-2147	230	3	2020	2020	NUM
cana-2147	230	4	.	.	PUNCT
cana-2147	231	1	[	[	X
cana-2147	231	2	16	16	NUM
cana-2147	231	3	]	]	X
cana-2147	231	4	zhang	zhang	PROPN
cana-2147	231	5	,	,	PUNCT
cana-2147	231	6	yangsen	yangsen	PROPN
cana-2147	231	7	,	,	PUNCT
cana-2147	231	8	et	et	PROPN
cana-2147	231	9	al	al	PROPN
cana-2147	231	10	.	.	PUNCT
cana-2147	232	1	"	"	PUNCT
cana-2147	232	2	a	a	DET
cana-2147	232	3	text	text	NOUN
cana-2147	232	4	sentiment	sentiment	NOUN
cana-2147	232	5	classification	classification	NOUN
cana-2147	232	6	modeling	modeling	NOUN
cana-2147	232	7	method	method	NOUN
cana-2147	232	8	based	base	VERB
cana-2147	232	9	on	on	ADP
cana-2147	232	10	coordinated	coordinate	VERB
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cana-2147	232	12	model	model	NOUN
cana-2147	232	13	.	.	PUNCT
cana-2147	232	14	"	"	PUNCT
cana-2147	233	1	chinese	chinese	ADJ
cana-2147	233	2	journal	journal	NOUN
cana-2147	233	3	of	of	ADP
cana-2147	233	4	electronics	electronics	PROPN
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cana-2147	233	6	(	(	PUNCT
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cana-2147	233	8	):	):	PUNCT
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cana-2147	233	10	-	-	SYM
cana-2147	233	11	126	126	NUM
cana-2147	233	12	.	.	PUNCT
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cana-2147	234	2	17	17	NUM
cana-2147	234	3	]	]	X
cana-2147	234	4	zhang	zhang	PROPN
cana-2147	234	5	,	,	PUNCT
cana-2147	234	6	yuxiang	yuxiang	PROPN
cana-2147	234	7	,	,	PUNCT
cana-2147	234	8	et	et	PROPN
cana-2147	234	9	al	al	PROPN
cana-2147	234	10	.	.	PUNCT
cana-2147	235	1	"	"	PUNCT
cana-2147	235	2	text	text	NOUN
cana-2147	235	3	emotion	emotion	NOUN
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cana-2147	235	5	learning	learn	VERB
cana-2147	235	6	via	via	ADP
cana-2147	235	7	multi	multi	ADJ
cana-2147	235	8	-	-	ADJ
cana-2147	235	9	task	task	ADJ
cana-2147	235	10	convolutional	convolutional	ADJ
cana-2147	235	11	neural	neural	ADJ
cana-2147	235	12	network	network	NOUN
cana-2147	235	13	.	.	PUNCT
cana-2147	235	14	"	"	PUNCT
cana-2147	235	15	ijcai	ijcai	NOUN
cana-2147	235	16	.	.	PUNCT
cana-2147	235	17	2018	2018	NUM
cana-2147	235	18	.	.	PUNCT
cana-2147	236	1	[	[	X
cana-2147	236	2	18	18	NUM
cana-2147	236	3	]	]	X
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cana-2147	236	5	,	,	PUNCT
cana-2147	236	6	malak	malak	PROPN
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cana-2147	236	9	,	,	PUNCT
cana-2147	236	10	and	and	CCONJ
cana-2147	236	11	samira	samira	PROPN
cana-2147	236	12	shaikhz	shaikhz	PROPN
cana-2147	236	13	.	.	PUNCT
cana-2147	237	1	"	"	PUNCT
cana-2147	237	2	sedat	sedat	PROPN
cana-2147	237	3	:	:	PUNCT
cana-2147	237	4	sentiment	sentiment	NOUN
cana-2147	237	5	and	and	CCONJ
cana-2147	237	6	emotion	emotion	NOUN
cana-2147	237	7	detection	detection	NOUN
cana-2147	237	8	in	in	ADP
cana-2147	237	9	arabic	arabic	ADJ
cana-2147	237	10	text	text	NOUN
cana-2147	237	11	using	use	VERB
cana-2147	237	12	cnn	cnn	PROPN
cana-2147	237	13	-	-	PUNCT
cana-2147	237	14	lstm	lstm	ADJ
cana-2147	237	15	deep	deep	ADJ
cana-2147	237	16	learning	learning	NOUN
cana-2147	237	17	.	.	PUNCT
cana-2147	237	18	"	"	PUNCT
cana-2147	238	1	2018	2018	NUM
cana-2147	238	2	17th	17th	NOUN
cana-2147	238	3	ieee	ieee	NOUN
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cana-2147	238	5	conference	conference	NOUN
cana-2147	238	6	on	on	ADP
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cana-2147	238	8	learning	learning	NOUN
cana-2147	238	9	and	and	CCONJ
cana-2147	238	10	applications	application	NOUN
cana-2147	238	11	(	(	PUNCT
cana-2147	238	12	icmla	icmla	NOUN
cana-2147	238	13	)	)	PUNCT
cana-2147	238	14	.	.	PUNCT
cana-2147	239	1	ieee	ieee	NOUN
cana-2147	239	2	,	,	PUNCT
cana-2147	239	3	2018	2018	NUM
cana-2147	239	4	.	.	PUNCT
cana-2147	240	1	[	[	X
cana-2147	240	2	19	19	NUM
cana-2147	240	3	]	]	SYM
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cana-2147	240	5	,	,	PUNCT
cana-2147	240	6	dongliang	dongliang	PROPN
cana-2147	240	7	,	,	PUNCT
cana-2147	240	8	et	et	PROPN
cana-2147	240	9	al	al	PROPN
cana-2147	240	10	.	.	PUNCT
cana-2147	241	1	"	"	PUNCT
cana-2147	241	2	deep	deep	ADJ
cana-2147	241	3	learning	learning	NOUN
cana-2147	241	4	based	base	VERB
cana-2147	241	5	emotion	emotion	NOUN
cana-2147	241	6	analysis	analysis	NOUN
cana-2147	241	7	of	of	ADP
cana-2147	241	8	microblog	microblog	ADJ
cana-2147	241	9	texts	text	NOUN
cana-2147	241	10	.	.	PUNCT
cana-2147	241	11	"	"	PUNCT
cana-2147	242	1	information	information	NOUN
cana-2147	242	2	fusion	fusion	NOUN
cana-2147	242	3	64	64	NUM
cana-2147	242	4	(	(	PUNCT
cana-2147	242	5	2020	2020	NUM
cana-2147	242	6	):	):	PUNCT
cana-2147	242	7	111	111	NUM
cana-2147	242	8	.	.	PUNCT
cana-2147	243	1	[	[	X
cana-2147	243	2	20	20	NUM
cana-2147	243	3	]	]	X
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cana-2147	243	5	,	,	PUNCT
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cana-2147	243	7	,	,	PUNCT
cana-2147	243	8	et	et	PROPN
cana-2147	243	9	al	al	PROPN
cana-2147	243	10	.	.	PUNCT
cana-2147	243	11	"	"	PUNCT
cana-2147	243	12	multi	multi	ADJ
cana-2147	243	13	-	-	ADJ
cana-2147	243	14	label	label	ADJ
cana-2147	243	15	emotion	emotion	NOUN
cana-2147	243	16	classification	classification	NOUN
cana-2147	243	17	in	in	ADP
cana-2147	243	18	texts	text	NOUN
cana-2147	243	19	using	use	VERB
cana-2147	243	20	transfer	transfer	NOUN
cana-2147	243	21	learning	learning	NOUN
cana-2147	243	22	.	.	PUNCT
cana-2147	243	23	"	"	PUNCT
cana-2147	244	1	expert	expert	ADJ
cana-2147	244	2	systems	system	NOUN
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cana-2147	244	4	applications	application	NOUN
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cana-2147	244	6	(	(	PUNCT
cana-2147	244	7	2023	2023	NUM
cana-2147	244	8	):	):	PUNCT
cana-2147	244	9	118534	118534	NUM
cana-2147	244	10	.	.	PUNCT
cana-2147	245	1	[	[	X
cana-2147	245	2	21	21	NUM
cana-2147	245	3	]	]	X
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cana-2147	245	5	,	,	PUNCT
cana-2147	245	6	jianfeng	jianfeng	PROPN
cana-2147	245	7	,	,	PUNCT
cana-2147	245	8	xia	xia	PROPN
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cana-2147	245	10	,	,	PUNCT
cana-2147	245	11	and	and	CCONJ
cana-2147	245	12	lijiang	lijiang	PROPN
cana-2147	245	13	chen	chen	PROPN
cana-2147	245	14	.	.	PUNCT
cana-2147	246	1	"	"	PUNCT
cana-2147	246	2	speech	speech	NOUN
cana-2147	246	3	emotion	emotion	NOUN
cana-2147	246	4	recognition	recognition	NOUN
cana-2147	246	5	using	use	VERB
cana-2147	246	6	deep	deep	ADJ
cana-2147	246	7	1d	1d	NUM
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cana-2147	246	9	2d	2d	PROPN
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cana-2147	246	11	lstm	lstm	PROPN
cana-2147	246	12	networks	network	NOUN
cana-2147	246	13	.	.	PUNCT
cana-2147	246	14	"	"	PUNCT
cana-2147	246	15	biomedical	biomedical	ADJ
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cana-2147	246	17	processing	processing	NOUN
cana-2147	246	18	and	and	CCONJ
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cana-2147	246	20	47	47	NUM
cana-2147	246	21	(	(	PUNCT
cana-2147	246	22	2019	2019	NUM
cana-2147	246	23	):	):	PUNCT
cana-2147	246	24	312	312	NUM
cana-2147	246	25	-	-	SYM
cana-2147	246	26	323	323	NUM
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cana-2147	247	2	22	22	NUM
cana-2147	247	3	]	]	X
cana-2147	247	4	zhang	zhang	PROPN
cana-2147	247	5	,	,	PUNCT
cana-2147	247	6	shiqing	shiqe	VERB
cana-2147	247	7	,	,	PUNCT
cana-2147	247	8	xiaoming	xiaoming	PROPN
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cana-2147	247	10	,	,	PUNCT
cana-2147	247	11	and	and	CCONJ
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cana-2147	247	14	.	.	PUNCT
cana-2147	248	1	"	"	PUNCT
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cana-2147	248	3	speech	speech	NOUN
cana-2147	248	4	emotion	emotion	NOUN
cana-2147	248	5	recognition	recognition	NOUN
cana-2147	248	6	using	use	VERB
cana-2147	248	7	multiscale	multiscale	ADJ
cana-2147	248	8	deep	deep	ADJ
cana-2147	248	9	convolutional	convolutional	ADJ
cana-2147	248	10	lstm	lstm	NOUN
cana-2147	248	11	.	.	PUNCT
cana-2147	248	12	"	"	PUNCT
cana-2147	249	1	ieee	ieee	NOUN
cana-2147	249	2	transactions	transaction	NOUN
cana-2147	249	3	on	on	ADP
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cana-2147	249	6	13.2	13.2	NUM
cana-2147	249	7	(	(	PUNCT
cana-2147	249	8	2019	2019	NUM
cana-2147	249	9	):	):	PUNCT
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cana-2147	249	11	-	-	SYM
cana-2147	249	12	688	688	NUM
cana-2147	249	13	.	.	PUNCT
cana-2147	250	1	[	[	X
cana-2147	250	2	23	23	NUM
cana-2147	250	3	]	]	X
cana-2147	250	4	wang	wang	PROPN
cana-2147	250	5	,	,	PUNCT
cana-2147	250	6	jianyou	jianyou	PROPN
cana-2147	250	7	,	,	PUNCT
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cana-2147	250	10	.	.	PUNCT
cana-2147	251	1	"	"	PUNCT
cana-2147	251	2	speech	speech	NOUN
cana-2147	251	3	emotion	emotion	NOUN
cana-2147	251	4	recognition	recognition	NOUN
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cana-2147	251	6	dual	dual	ADJ
cana-2147	251	7	-	-	PUNCT
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cana-2147	251	11	.	.	PUNCT
cana-2147	251	12	"	"	PUNCT
cana-2147	252	1	icassp	icassp	ADV
cana-2147	252	2	2020	2020	NUM
cana-2147	252	3	-	-	SYM
cana-2147	252	4	2020	2020	NUM
cana-2147	252	5	ieee	ieee	NOUN
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cana-2147	252	7	conference	conference	NOUN
cana-2147	252	8	on	on	ADP
cana-2147	252	9	acoustics	acoustic	NOUN
cana-2147	252	10	,	,	PUNCT
cana-2147	252	11	speech	speech	NOUN
cana-2147	252	12	and	and	CCONJ
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cana-2147	252	15	(	(	PUNCT
cana-2147	252	16	icassp	icassp	PROPN
cana-2147	252	17	)	)	PUNCT
cana-2147	252	18	.	.	PUNCT
cana-2147	253	1	ieee	ieee	PROPN
cana-2147	253	2	,	,	PUNCT
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cana-2147	253	4	.	.	PUNCT
cana-2147	254	1	[	[	X
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cana-2147	254	3	]	]	X
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cana-2147	254	5	,	,	PUNCT
cana-2147	254	6	caroline	caroline	PROPN
cana-2147	254	7	,	,	PUNCT
cana-2147	254	8	et	et	PROPN
cana-2147	254	9	al	al	PROPN
cana-2147	254	10	.	.	PUNCT
cana-2147	255	1	"	"	PUNCT
cana-2147	255	2	cnn+	cnn+	PRON
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cana-2147	255	4	architecture	architecture	NOUN
cana-2147	255	5	for	for	ADP
cana-2147	255	6	speech	speech	NOUN
cana-2147	255	7	emotion	emotion	NOUN
cana-2147	255	8	recognition	recognition	NOUN
cana-2147	255	9	with	with	ADP
cana-2147	255	10	data	datum	NOUN
cana-2147	255	11	augmentation	augmentation	NOUN
cana-2147	255	12	.	.	PUNCT
cana-2147	255	13	"	"	PUNCT
cana-2147	256	1	arxiv	arxiv	PROPN
cana-2147	256	2	preprint	preprint	NOUN
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cana-2147	256	4	(	(	PUNCT
cana-2147	256	5	2018	2018	NUM
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cana-2147	256	7	.	.	PUNCT
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cana-2147	257	3	]	]	PUNCT
cana-2147	257	4	ahmed	ahmed	PROPN
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cana-2147	257	6	md	md	PROPN
cana-2147	257	7	rayhan	rayhan	PROPN
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cana-2147	257	9	et	et	PROPN
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cana-2147	257	11	.	.	PUNCT
cana-2147	258	1	"	"	PUNCT
cana-2147	258	2	an	an	DET
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cana-2147	258	4	1d	1d	NUM
cana-2147	258	5	-	-	PUNCT
cana-2147	258	6	cnn	cnn	PROPN
cana-2147	258	7	-	-	PUNCT
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cana-2147	258	9	-	-	PUNCT
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cana-2147	258	15	for	for	ADP
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cana-2147	258	19	.	.	PUNCT
cana-2147	258	20	"	"	PUNCT
cana-2147	259	1	expert	expert	ADJ
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cana-2147	259	3	with	with	ADP
cana-2147	259	4	applications	application	NOUN
cana-2147	259	5	218	218	NUM
cana-2147	259	6	(	(	PUNCT
cana-2147	259	7	2023	2023	NUM
cana-2147	259	8	):	):	PUNCT
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cana-2147	259	10	.	.	PUNCT
cana-2147	260	1	[	[	X
cana-2147	260	2	26	26	NUM
cana-2147	260	3	]	]	X
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cana-2147	260	5	,	,	PUNCT
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cana-2147	260	7	,	,	PUNCT
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cana-2147	260	9	fatih	fatih	PROPN
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cana-2147	260	11	,	,	PUNCT
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cana-2147	261	1	"	"	PUNCT
cana-2147	261	2	speech	speech	NOUN
cana-2147	261	3	emotion	emotion	NOUN
cana-2147	261	4	recognition	recognition	NOUN
cana-2147	261	5	with	with	ADP
cana-2147	261	6	deep	deep	ADJ
cana-2147	261	7	convolutional	convolutional	ADJ
cana-2147	261	8	neural	neural	ADJ
cana-2147	261	9	networks	network	NOUN
cana-2147	261	10	.	.	PUNCT
cana-2147	261	11	"	"	PUNCT
cana-2147	261	12	biomedical	biomedical	ADJ
cana-2147	261	13	signal	signal	NOUN
cana-2147	261	14	processing	processing	NOUN
cana-2147	261	15	and	and	CCONJ
cana-2147	261	16	control	control	NOUN
cana-2147	261	17	59	59	NUM
cana-2147	261	18	(	(	PUNCT
cana-2147	261	19	2020	2020	NUM
cana-2147	261	20	):	):	PUNCT
cana-2147	261	21	101894	101894	NUM
cana-2147	261	22	.	.	PUNCT
cana-2147	262	1	[	[	X
cana-2147	262	2	27	27	NUM
cana-2147	262	3	]	]	PUNCT
cana-2147	262	4	patro	patro	NOUN
cana-2147	262	5	,	,	PUNCT
cana-2147	262	6	pramoda	pramoda	PROPN
cana-2147	262	7	,	,	PUNCT
cana-2147	262	8	et	et	PROPN
cana-2147	262	9	al	al	PROPN
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cana-2147	263	1	"	"	PUNCT
cana-2147	263	2	a	a	DET
cana-2147	263	3	hybrid	hybrid	ADJ
cana-2147	263	4	approach	approach	NOUN
cana-2147	263	5	estimates	estimate	VERB
cana-2147	263	6	the	the	DET
cana-2147	263	7	real	real	ADJ
cana-2147	263	8	-	-	PUNCT
cana-2147	263	9	time	time	NOUN
cana-2147	263	10	health	health	NOUN
cana-2147	263	11	state	state	NOUN
cana-2147	263	12	of	of	ADP
cana-2147	263	13	a	a	DET
cana-2147	263	14	bearing	bearing	NOUN
cana-2147	263	15	by	by	ADP
cana-2147	263	16	accelerated	accelerate	VERB
cana-2147	263	17	degradation	degradation	NOUN
cana-2147	263	18	tests	test	NOUN
cana-2147	263	19	,	,	PUNCT
cana-2147	263	20	machine	machine	NOUN
cana-2147	263	21	learning	learning	NOUN
cana-2147	263	22	.	.	PUNCT
cana-2147	263	23	"	"	PUNCT
cana-2147	264	1	2021	2021	NUM
cana-2147	264	2	second	second	ADJ
cana-2147	264	3	international	international	ADJ
cana-2147	264	4	conference	conference	NOUN
cana-2147	264	5	on	on	ADP
cana-2147	264	6	smart	smart	ADJ
cana-2147	264	7	technologies	technology	NOUN
cana-2147	264	8	in	in	ADP
cana-2147	264	9	computing	computing	NOUN
cana-2147	264	10	,	,	PUNCT
cana-2147	264	11	electrical	electrical	ADJ
cana-2147	264	12	and	and	CCONJ
cana-2147	264	13	electronics	electronics	NOUN
cana-2147	264	14	(	(	PUNCT
cana-2147	264	15	icstcee	icstcee	NOUN
cana-2147	264	16	)	)	PUNCT
cana-2147	264	17	.	.	PUNCT
cana-2147	265	1	ieee	ieee	NOUN
cana-2147	265	2	,	,	PUNCT
cana-2147	265	3	2021	2021	NUM
cana-2147	265	4	[	[	X
cana-2147	265	5	28	28	NUM
cana-2147	265	6	]	]	X
cana-2147	265	7	wu	wu	PROPN
cana-2147	265	8	,	,	PUNCT
cana-2147	265	9	xixin	xixin	PROPN
cana-2147	265	10	,	,	PUNCT
cana-2147	265	11	et	et	PROPN
cana-2147	265	12	al	al	PROPN
cana-2147	265	13	.	.	PUNCT
cana-2147	266	1	"	"	PUNCT
cana-2147	266	2	speech	speech	NOUN
cana-2147	266	3	emotion	emotion	NOUN
cana-2147	266	4	recognition	recognition	NOUN
cana-2147	266	5	using	use	VERB
cana-2147	266	6	capsule	capsule	NOUN
cana-2147	266	7	networks	network	NOUN
cana-2147	266	8	.	.	PUNCT
cana-2147	266	9	"	"	PUNCT
cana-2147	267	1	icassp	icassp	VERB
cana-2147	267	2	2019	2019	NUM
cana-2147	267	3	-	-	SYM
cana-2147	267	4	2019	2019	NUM
cana-2147	267	5	ieee	ieee	NOUN
cana-2147	267	6	international	international	ADJ
cana-2147	267	7	conference	conference	NOUN
cana-2147	267	8	on	on	ADP
cana-2147	267	9	acoustics	acoustic	NOUN
cana-2147	267	10	,	,	PUNCT
cana-2147	267	11	speech	speech	NOUN
cana-2147	267	12	and	and	CCONJ
cana-2147	267	13	signal	signal	NOUN
cana-2147	267	14	processing	processing	NOUN
cana-2147	267	15	(	(	PUNCT
cana-2147	267	16	icassp	icassp	PROPN
cana-2147	267	17	)	)	PUNCT
cana-2147	267	18	.	.	PUNCT
cana-2147	268	1	ieee	ieee	PROPN
cana-2147	268	2	,	,	PUNCT
cana-2147	268	3	2019	2019	NUM
cana-2147	268	4	.	.	PUNCT
cana-2147	269	1	[	[	X
cana-2147	269	2	29	29	NUM
cana-2147	269	3	]	]	X
cana-2147	269	4	senthilkumar	senthilkumar	PROPN
cana-2147	269	5	,	,	PUNCT
cana-2147	269	6	n.	n.	NOUN
cana-2147	269	7	,	,	PUNCT
cana-2147	269	8	et	et	PROPN
cana-2147	269	9	al	al	PROPN
cana-2147	269	10	.	.	PUNCT
cana-2147	270	1	"	"	PUNCT
cana-2147	270	2	speech	speech	NOUN
cana-2147	270	3	emotion	emotion	NOUN
cana-2147	270	4	recognition	recognition	NOUN
cana-2147	270	5	based	base	VERB
cana-2147	270	6	on	on	ADP
cana-2147	270	7	bi	bi	ADJ
cana-2147	270	8	-	-	ADJ
cana-2147	270	9	directional	directional	ADJ
cana-2147	270	10	lstm	lstm	NOUN
cana-2147	270	11	architecture	architecture	NOUN
cana-2147	270	12	and	and	CCONJ
cana-2147	270	13	deep	deep	ADJ
cana-2147	270	14	belief	belief	NOUN
cana-2147	270	15	networks	network	NOUN
cana-2147	270	16	.	.	PUNCT
cana-2147	270	17	"	"	PUNCT
cana-2147	271	1	materials	material	NOUN
cana-2147	271	2	today	today	NOUN
cana-2147	271	3	:	:	PUNCT
cana-2147	271	4	proceedings	proceeding	NOUN
cana-2147	271	5	57	57	NUM
cana-2147	271	6	(	(	PUNCT
cana-2147	271	7	2022	2022	NUM
cana-2147	271	8	):	):	PUNCT
cana-2147	271	9	2180	2180	NUM
cana-2147	271	10	-	-	SYM
cana-2147	271	11	2184	2184	NUM
cana-2147	271	12	.	.	PUNCT
cana-2147	272	1	[	[	X
cana-2147	272	2	30	30	NUM
cana-2147	272	3	]	]	X
cana-2147	272	4	dangol	dangol	NOUN
cana-2147	272	5	,	,	PUNCT
cana-2147	272	6	ranjana	ranjana	PROPN
cana-2147	272	7	,	,	PUNCT
cana-2147	272	8	et	et	PROPN
cana-2147	272	9	al	al	PROPN
cana-2147	272	10	.	.	PUNCT
cana-2147	273	1	"	"	PUNCT
cana-2147	273	2	speech	speech	NOUN
cana-2147	273	3	emotion	emotion	NOUN
cana-2147	273	4	recognition	recognition	NOUN
cana-2147	273	5	usingconvolutional	usingconvolutional	ADJ
cana-2147	273	6	neural	neural	ADJ
cana-2147	273	7	network	network	NOUN
cana-2147	273	8	and	and	CCONJ
cana-2147	273	9	long	long	ADJ
cana-2147	273	10	-	-	PUNCT
cana-2147	273	11	short	short	ADJ
cana-2147	273	12	termmemory	termmemory	NOUN
cana-2147	273	13	.	.	PUNCT
cana-2147	273	14	"	"	PUNCT
cana-2147	273	15	multimedia	multimedia	NOUN
cana-2147	273	16	tools	tool	NOUN
cana-2147	273	17	and	and	CCONJ
cana-2147	273	18	applications	application	NOUN
cana-2147	273	19	79.43	79.43	NUM
cana-2147	273	20	(	(	PUNCT
cana-2147	273	21	2020	2020	NUM
cana-2147	273	22	):	):	PUNCT
cana-2147	273	23	32917	32917	NUM
cana-2147	273	24	-	-	SYM
cana-2147	273	25	32934	32934	NUM
cana-2147	273	26	.	.	PUNCT
cana-2147	274	1	[	[	X
cana-2147	274	2	31	31	NUM
cana-2147	274	3	]	]	PUNCT
cana-2147	274	4	asha	asha	PROPN
cana-2147	274	5	priyadarshini	priyadarshini	PROPN
cana-2147	274	6	manda	manda	PROPN
cana-2147	274	7	,	,	PUNCT
cana-2147	274	8	"	"	PUNCT
cana-2147	274	9	max	max	PROPN
cana-2147	274	10	30100/30102	30100/30102	NUM
cana-2147	274	11	sensor	sensor	NOUN
cana-2147	274	12	implementation	implementation	NOUN
cana-2147	274	13	to	to	ADP
cana-2147	274	14	viral	viral	ADJ
cana-2147	274	15	infection	infection	NOUN
cana-2147	274	16	detection	detection	NOUN
cana-2147	274	17	based	base	VERB
cana-2147	274	18	on	on	ADP
cana-2147	274	19	spo2	spo2	PROPN
cana-2147	274	20	and	and	CCONJ
cana-2147	274	21	heartbeat	heartbeat	NOUN
cana-2147	274	22	pattern	pattern	NOUN
cana-2147	274	23	.	.	PUNCT
cana-2147	274	24	"	"	PUNCT
cana-2147	274	25	annals	annal	NOUN
cana-2147	274	26	of	of	ADP
cana-2147	274	27	the	the	DET
cana-2147	274	28	romanian	romanian	ADJ
cana-2147	274	29	society	society	NOUN
cana-2147	274	30	for	for	ADP
cana-2147	274	31	cell	cell	NOUN
cana-2147	274	32	biology	biology	NOUN
cana-2147	274	33	(	(	PUNCT
cana-2147	274	34	2021	2021	NUM
cana-2147	274	35	):	):	PUNCT
cana-2147	274	36	2053	2053	NUM
cana-2147	274	37	-	-	SYM
cana-2147	274	38	2061	2061	NUM
cana-2147	274	39	.	.	PUNCT
cana-2147	275	1	[	[	X
cana-2147	275	2	32	32	NUM
cana-2147	275	3	]	]	PUNCT
cana-2147	275	4	m.	m.	NOUN
cana-2147	275	5	asha	asha	PROPN
cana-2147	275	6	priyadarshini	priyadarshini	PROPN
cana-2147	275	7	,	,	PUNCT
cana-2147	275	8	“	"	PUNCT
cana-2147	275	9	a	a	DET
cana-2147	275	10	comprehensive	comprehensive	ADJ
cana-2147	275	11	analysis	analysis	NOUN
cana-2147	275	12	of	of	ADP
cana-2147	275	13	machine	machine	NOUN
cana-2147	275	14	learning	learning	NOUN
cana-2147	275	15	and	and	CCONJ
cana-2147	275	16	deep	deep	ADJ
cana-2147	275	17	learning	learning	NOUN
cana-2147	275	18	approaches	approach	NOUN
cana-2147	275	19	towards	towards	ADP
cana-2147	275	20	iot	iot	ADJ
cana-2147	275	21	security	security	NOUN
cana-2147	275	22	”	"	PUNCT
cana-2147	275	23	ieee	ieee	NOUN
cana-2147	275	24	explorer	explorer	NOUN
cana-2147	275	25	,	,	PUNCT
cana-2147	275	26	may,2023	may,2023	PROPN
cana-2147	275	27	doi	doi	NOUN
cana-2147	275	28	:	:	PUNCT
cana-2147	275	29	979	979	NUM
cana-2147	275	30	-	-	SYM
cana-2147	275	31	8	8	NUM
cana-2147	275	32	-	-	PUNCT
cana-2147	275	33	3503	3503	NUM
cana-2147	275	34	-	-	PUNCT
cana-2147	275	35	9737	9737	NUM
cana-2147	275	36	-	-	PUNCT
cana-2147	275	37	6/23/$31.00	6/23/$31.00	NUM
cana-2147	275	38	isbn:979	isbn:979	NOUN
cana-2147	275	39	-	-	PUNCT
cana-2147	275	40	8	8	NUM
cana-2147	275	41	-	-	PUNCT
cana-2147	275	42	3503	3503	NUM
cana-2147	275	43	-	-	PUNCT
cana-2147	275	44	0009	0009	NUM
cana-2147	275	45	-	-	SYM
cana-2147	275	46	3	3	NUM
cana-2147	275	47	[	[	X
cana-2147	275	48	33	33	NUM
cana-2147	275	49	]	]	PUNCT
cana-2147	275	50	k.venkateswara	k.venkateswara	NOUN
cana-2147	275	51	rao	rao	NOUN
cana-2147	275	52	,	,	PUNCT
cana-2147	275	53	”	"	PUNCT
cana-2147	275	54	suicide	suicide	NOUN
cana-2147	275	55	prediction	prediction	NOUN
cana-2147	275	56	on	on	ADP
cana-2147	275	57	social	social	ADJ
cana-2147	275	58	media	medium	NOUN
cana-2147	275	59	by	by	ADP
cana-2147	275	60	implementing	implement	VERB
cana-2147	275	61	sentimental	sentimental	ADJ
cana-2147	275	62	analysis	analysis	NOUN
cana-2147	275	63	along	along	ADP
cana-2147	275	64	with	with	ADP
cana-2147	275	65	machine	machine	NOUN
cana-2147	275	66	learning	learning	NOUN
cana-2147	275	67	”	"	PUNCT
cana-2147	275	68	,	,	PUNCT
cana-2147	275	69	international	international	ADJ
cana-2147	275	70	journal	journal	NOUN
cana-2147	275	71	of	of	ADP
cana-2147	275	72	recent	recent	ADJ
cana-2147	275	73	technology	technology	NOUN
cana-2147	275	74	and	and	CCONJ
cana-2147	275	75	engineering(ijrte	engineering(ijrte	PROPN
cana-2147	275	76	)	)	PUNCT
cana-2147	275	77	,	,	PUNCT
cana-2147	275	78	issn	issn	PROPN
cana-2147	275	79	:	:	PUNCT
cana-2147	275	80	2277	2277	NUM
cana-2147	275	81	-	-	SYM
cana-2147	275	82	3878	3878	NUM
cana-2147	275	83	,	,	PUNCT
cana-2147	275	84	vol-8	vol-8	PUNCT
cana-2147	275	85	issue-2	issue-2	PROPN
cana-2147	275	86	,	,	PUNCT
cana-2147	275	87	july	july	PROPN
cana-2147	275	88	2019	2019	NUM
cana-2147	275	89	,	,	PUNCT
cana-2147	275	90	page	page	NOUN
cana-2147	275	91	no	no	NOUN
cana-2147	275	92	:	:	PUNCT
cana-2147	275	93	4833	4833	NUM
cana-2147	275	94	-	-	SYM
cana-2147	275	95	4837	4837	NUM
cana-2147	275	96	.	.	PUNCT
cana-2147	276	1	[	[	X
cana-2147	276	2	34	34	NUM
cana-2147	276	3	]	]	PUNCT
cana-2147	276	4	priyadarshini	priyadarshini	NOUN
cana-2147	276	5	,	,	PUNCT
cana-2147	276	6	m.	m.	PROPN
cana-2147	276	7	asha	asha	PROPN
cana-2147	276	8	,	,	PUNCT
cana-2147	276	9	et	et	PROPN
cana-2147	276	10	al	al	PROPN
cana-2147	276	11	.	.	PUNCT
cana-2147	277	1	"	"	PUNCT
cana-2147	277	2	a	a	DET
cana-2147	277	3	visionary	visionary	ADJ
cana-2147	277	4	approach	approach	NOUN
cana-2147	277	5	to	to	ADP
cana-2147	277	6	anemia	anemia	NOUN
cana-2147	277	7	detection	detection	NOUN
cana-2147	277	8	:	:	PUNCT
cana-2147	277	9	integrating	integrate	VERB
cana-2147	277	10	eye	eye	NOUN
cana-2147	277	11	condition	condition	NOUN
cana-2147	277	12	data	datum	NOUN
cana-2147	277	13	and	and	CCONJ
cana-2147	277	14	machine	machine	NOUN
cana-2147	277	15	learning	learning	NOUN
cana-2147	277	16	.	.	PUNCT
cana-2147	277	17	"	"	PUNCT
cana-2147	278	1	international	international	ADJ
cana-2147	278	2	conference	conference	NOUN
cana-2147	278	3	on	on	ADP
cana-2147	278	4	computational	computational	ADJ
cana-2147	278	5	innovations	innovation	NOUN
cana-2147	278	6	and	and	CCONJ
cana-2147	278	7	emerging	emerge	VERB
cana-2147	278	8	trends	trend	NOUN
cana-2147	278	9	(	(	PUNCT
cana-2147	278	10	icciet-2024	icciet-2024	NOUN
cana-2147	278	11	)	)	PUNCT
cana-2147	278	12	.	.	PUNCT
cana-2147	279	1	atlantis	atlantis	PROPN
cana-2147	279	2	press	press	PROPN
cana-2147	279	3	,	,	PUNCT
cana-2147	279	4	2024	2024	NUM
cana-2147	279	5	.	.	PUNCT
cana-2147	280	1	communications	communication	NOUN
cana-2147	280	2	on	on	ADP
cana-2147	280	3	applied	apply	VERB
cana-2147	280	4	nonlinear	nonlinear	ADJ
cana-2147	280	5	analysis	analysis	NOUN
cana-2147	280	6	issn	issn	NOUN
cana-2147	280	7	:	:	PUNCT
cana-2147	280	8	1074	1074	NUM
cana-2147	280	9	-	-	PUNCT
cana-2147	280	10	133x	133x	NUM
cana-2147	280	11	vol	vol	NOUN
cana-2147	280	12	32	32	NUM
cana-2147	280	13	no	no	NOUN
cana-2147	280	14	.	.	PUNCT
cana-2147	281	1	1s	1s	NUM
cana-2147	281	2	(	(	PUNCT
cana-2147	281	3	2025	2025	NUM
cana-2147	281	4	)	)	PUNCT
cana-2147	281	5	195	195	NUM
cana-2147	281	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2147	282	1	[	[	X
cana-2147	282	2	35	35	NUM
cana-2147	282	3	]	]	X
cana-2147	282	4	priyadarshini	priyadarshini	NOUN
cana-2147	282	5	,	,	PUNCT
cana-2147	282	6	m.	m.	PROPN
cana-2147	282	7	asha	asha	PROPN
cana-2147	282	8	,	,	PUNCT
cana-2147	282	9	et	et	PROPN
cana-2147	282	10	al	al	PROPN
cana-2147	282	11	.	.	PUNCT
cana-2147	283	1	"	"	PUNCT
cana-2147	283	2	a	a	DET
cana-2147	283	3	data	data	NOUN
cana-2147	283	4	mining	mining	NOUN
cana-2147	283	5	approach	approach	NOUN
cana-2147	283	6	to	to	PART
cana-2147	283	7	monitor	monitor	VERB
cana-2147	283	8	terrorism	terrorism	NOUN
cana-2147	283	9	dissemination	dissemination	NOUN
cana-2147	283	10	online	online	ADV
cana-2147	283	11	.	.	PUNCT
cana-2147	283	12	"	"	PUNCT
cana-2147	284	1	international	international	ADJ
cana-2147	284	2	conference	conference	NOUN
cana-2147	284	3	on	on	ADP
cana-2147	284	4	computational	computational	ADJ
cana-2147	284	5	innovations	innovation	NOUN
cana-2147	284	6	and	and	CCONJ
cana-2147	284	7	emerging	emerge	VERB
cana-2147	284	8	trends	trend	NOUN
cana-2147	284	9	(	(	PUNCT
cana-2147	284	10	icciet-2024	icciet-2024	NOUN
cana-2147	284	11	)	)	PUNCT
cana-2147	284	12	.	.	PUNCT
cana-2147	285	1	atlantis	atlantis	PROPN
cana-2147	285	2	press	press	PROPN
cana-2147	285	3	,	,	PUNCT
cana-2147	285	4	2024	2024	NUM
cana-2147	285	5	.	.	PUNCT
cana-2147	286	1	[	[	X
cana-2147	286	2	36	36	NUM
cana-2147	286	3	]	]	X
cana-2147	286	4	priyadarshini	priyadarshini	NOUN
cana-2147	286	5	,	,	PUNCT
cana-2147	286	6	m.	m.	PROPN
cana-2147	286	7	asha	asha	PROPN
cana-2147	286	8	,	,	PUNCT
cana-2147	286	9	et	et	PROPN
cana-2147	286	10	al	al	PROPN
cana-2147	286	11	.	.	PUNCT
cana-2147	287	1	"	"	PUNCT
cana-2147	287	2	a	a	DET
cana-2147	287	3	multi	multi	ADJ
cana-2147	287	4	-	-	ADJ
cana-2147	287	5	feature	feature	ADJ
cana-2147	287	6	approach	approach	NOUN
cana-2147	287	7	with	with	ADP
cana-2147	287	8	data	datum	NOUN
cana-2147	287	9	augmentation	augmentation	NOUN
cana-2147	287	10	for	for	ADP
cana-2147	287	11	speech	speech	NOUN
cana-2147	287	12	emotion	emotion	NOUN
cana-2147	287	13	recognition	recognition	NOUN
cana-2147	287	14	using	use	VERB
cana-2147	287	15	deep	deep	ADJ
cana-2147	287	16	learning	learning	NOUN
cana-2147	287	17	.	.	PUNCT
cana-2147	287	18	"	"	PUNCT
cana-2147	288	1	international	international	ADJ
cana-2147	288	2	conference	conference	NOUN
cana-2147	288	3	on	on	ADP
cana-2147	288	4	computational	computational	ADJ
cana-2147	288	5	innovations	innovation	NOUN
cana-2147	288	6	and	and	CCONJ
cana-2147	288	7	emerging	emerge	VERB
cana-2147	288	8	trends	trend	NOUN
cana-2147	288	9	(	(	PUNCT
cana-2147	288	10	icciet2024	icciet2024	PROPN
cana-2147	288	11	)	)	PUNCT
cana-2147	288	12	.	.	PUNCT
cana-2147	289	1	atlantis	atlantis	PROPN
cana-2147	289	2	press	press	PROPN
cana-2147	289	3	,	,	PUNCT
cana-2147	289	4	2024	2024	NUM
cana-2147	289	5	.	.	PUNCT
cana-2147	290	1	[	[	X
cana-2147	290	2	37	37	NUM
cana-2147	290	3	]	]	X
cana-2147	290	4	salma	salma	PROPN
cana-2147	290	5	,	,	PUNCT
cana-2147	290	6	s.	s.	PROPN
cana-2147	290	7	,	,	PUNCT
cana-2147	290	8	priyadarshini	priyadarshini	PROPN
cana-2147	290	9	,	,	PUNCT
cana-2147	290	10	m.	m.	NOUN
cana-2147	290	11	a.	a.	PROPN
cana-2147	290	12	,	,	PUNCT
cana-2147	290	13	manaswini	manaswini	PROPN
cana-2147	290	14	,	,	PUNCT
cana-2147	290	15	p.	p.	PROPN
cana-2147	290	16	s.	s.	PROPN
cana-2147	290	17	,	,	PUNCT
cana-2147	290	18	kumar	kumar	PROPN
cana-2147	290	19	,	,	PUNCT
cana-2147	290	20	p.	p.	PROPN
cana-2147	290	21	s.	s.	PROPN
cana-2147	290	22	,	,	PUNCT
cana-2147	290	23	prathyusha	prathyusha	PROPN
cana-2147	290	24	,	,	PUNCT
cana-2147	290	25	p.	p.	PROPN
cana-2147	290	26	,	,	PUNCT
cana-2147	290	27	&	&	CCONJ
cana-2147	290	28	ganesh	ganesh	PROPN
cana-2147	290	29	,	,	PUNCT
cana-2147	290	30	s.	s.	PROPN
cana-2147	290	31	(	(	PUNCT
cana-2147	290	32	2024	2024	NUM
cana-2147	290	33	,	,	PUNCT
cana-2147	290	34	july	july	PROPN
cana-2147	290	35	)	)	PUNCT
cana-2147	290	36	.	.	PUNCT
cana-2147	291	1	agroinsight	agroinsight	ADJ
cana-2147	291	2	:	:	PUNCT
cana-2147	291	3	recommendation	recommendation	NOUN
cana-2147	291	4	system	system	NOUN
cana-2147	291	5	using	use	VERB
cana-2147	291	6	machine	machine	NOUN
cana-2147	291	7	learning	learning	NOUN
cana-2147	291	8	.	.	PUNCT
cana-2147	292	1	in	in	ADP
cana-2147	292	2	international	international	ADJ
cana-2147	292	3	conference	conference	NOUN
cana-2147	292	4	on	on	ADP
cana-2147	292	5	computational	computational	ADJ
cana-2147	292	6	innovations	innovation	NOUN
cana-2147	292	7	and	and	CCONJ
cana-2147	292	8	emerging	emerge	VERB
cana-2147	292	9	trends	trend	NOUN
cana-2147	292	10	(	(	PUNCT
cana-2147	292	11	icciet-2024	icciet-2024	ADV
cana-2147	292	12	)	)	PUNCT
cana-2147	292	13	(	(	PUNCT
cana-2147	292	14	pp	pp	X
cana-2147	292	15	.	.	PUNCT
cana-2147	292	16	824	824	NUM
cana-2147	292	17	-	-	SYM
cana-2147	292	18	834	834	NUM
cana-2147	292	19	)	)	PUNCT
cana-2147	292	20	.	.	PUNCT
cana-2147	293	1	atlantis	atlantis	PROPN
cana-2147	293	2	press	press	PROPN
cana-2147	293	3	.	.	PUNCT