id	sid	tid	token	lemma	pos
cana-6098	1	1	communications	communication	NOUN
cana-6098	1	2	on	on	ADP
cana-6098	1	3	applied	apply	VERB
cana-6098	1	4	nonlinear	nonlinear	ADJ
cana-6098	1	5	analysis	analysis	NOUN
cana-6098	1	6	issn	issn	NOUN
cana-6098	1	7	:	:	PUNCT
cana-6098	1	8	1074	1074	NUM
cana-6098	1	9	-	-	PUNCT
cana-6098	1	10	133x	133x	NUM
cana-6098	1	11	vol	vol	VERB
cana-6098	1	12	32	32	NUM
cana-6098	1	13	no	no	NOUN
cana-6098	1	14	.	.	PUNCT
cana-6098	2	1	10s	10	NOUN
cana-6098	2	2	(	(	PUNCT
cana-6098	2	3	2025	2025	NUM
cana-6098	2	4	)	)	PUNCT
cana-6098	2	5	3333	3333	NUM
cana-6098	2	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-6098	2	7	m	m	PROPN
cana-6098	2	8	a	a	DET
cana-6098	2	9	multimodal	multimodal	ADJ
cana-6098	2	10	framework	framework	NOUN
cana-6098	2	11	for	for	ADP
cana-6098	2	12	assessing	assess	VERB
cana-6098	2	13	mental	mental	ADJ
cana-6098	2	14	health	health	NOUN
cana-6098	2	15	strain	strain	NOUN
cana-6098	2	16	among	among	ADP
cana-6098	2	17	it	it	PRON
cana-6098	2	18	industry	industry	NOUN
cana-6098	2	19	workers	worker	NOUN
cana-6098	2	20	using	use	VERB
cana-6098	2	21	machine	machine	NOUN
cana-6098	2	22	learning	learn	VERB
cana-6098	2	23	mr.shailesh	mr.shailesh	NOUN
cana-6098	2	24	kurzadkar	kurzadkar	PROPN
cana-6098	2	25	1	1	NUM
cana-6098	2	26	,	,	PUNCT
cana-6098	2	27	dr.vijay	dr.vijay	ADP
cana-6098	2	28	bhandari	bhandari	ADJ
cana-6098	2	29	2	2	NUM
cana-6098	2	30	,	,	PUNCT
cana-6098	2	31	dr.anup	dr.anup	PART
cana-6098	2	32	bhange3	bhange3	PROPN
cana-6098	2	33	1phd	1phd	PROPN
cana-6098	2	34	scholar	scholar	NOUN
cana-6098	2	35	,	,	PUNCT
cana-6098	2	36	department	department	NOUN
cana-6098	2	37	of	of	ADP
cana-6098	2	38	cse	cse	PROPN
cana-6098	2	39	,	,	PUNCT
cana-6098	2	40	madhyanchal	madhyanchal	ADJ
cana-6098	2	41	professional	professional	ADJ
cana-6098	2	42	university	university	NOUN
cana-6098	2	43	,	,	PUNCT
cana-6098	2	44	bhopal	bhopal	PROPN
cana-6098	2	45	,	,	PUNCT
cana-6098	2	46	india	india	PROPN
cana-6098	2	47	2assosiate	2assosiate	NUM
cana-6098	2	48	professor	professor	NOUN
cana-6098	2	49	,	,	PUNCT
cana-6098	2	50	department	department	NOUN
cana-6098	2	51	of	of	ADP
cana-6098	2	52	cse	cse	PROPN
cana-6098	2	53	,	,	PUNCT
cana-6098	2	54	madhyanchal	madhyanchal	ADJ
cana-6098	2	55	professional	professional	ADJ
cana-6098	2	56	university	university	NOUN
cana-6098	2	57	,	,	PUNCT
cana-6098	2	58	bhopal	bhopal	PROPN
cana-6098	2	59	,	,	PUNCT
cana-6098	2	60	india	india	PROPN
cana-6098	2	61	3	3	NUM
cana-6098	2	62	assistant	assistant	NOUN
cana-6098	2	63	professor	professor	NOUN
cana-6098	2	64	kdk	kdk	PROPN
cana-6098	2	65	college	college	PROPN
cana-6098	2	66	of	of	ADP
cana-6098	2	67	engineering	engineering	PROPN
cana-6098	2	68	,	,	PUNCT
cana-6098	2	69	nagpur	nagpur	PROPN
cana-6098	2	70	,	,	PUNCT
cana-6098	2	71	india	india	PROPN
cana-6098	2	72	article	article	NOUN
cana-6098	2	73	history	history	NOUN
cana-6098	2	74	:	:	PUNCT
cana-6098	2	75	received	receive	VERB
cana-6098	2	76	:	:	PUNCT
cana-6098	2	77	19	19	NUM
cana-6098	2	78	-	-	PUNCT
cana-6098	2	79	03	03	NUM
cana-6098	2	80	-	-	PUNCT
cana-6098	2	81	2025	2025	NUM
cana-6098	2	82	revised	revise	VERB
cana-6098	2	83	:	:	PUNCT
cana-6098	2	84	24	24	NUM
cana-6098	2	85	-	-	PUNCT
cana-6098	2	86	07	07	NUM
cana-6098	2	87	-	-	PUNCT
cana-6098	2	88	2025	2025	NUM
cana-6098	2	89	accepted	accept	VERB
cana-6098	2	90	:	:	PUNCT
cana-6098	2	91	21	21	NUM
cana-6098	2	92	-	-	SYM
cana-6098	2	93	09	09	NUM
cana-6098	2	94	-	-	PUNCT
cana-6098	2	95	2025	2025	NUM
cana-6098	2	96	abstract	abstract	NOUN
cana-6098	2	97	:	:	PUNCT
cana-6098	2	98	the	the	DET
cana-6098	2	99	growing	grow	VERB
cana-6098	2	100	prevalence	prevalence	NOUN
cana-6098	2	101	of	of	ADP
cana-6098	2	102	work	work	NOUN
cana-6098	2	103	-	-	PUNCT
cana-6098	2	104	related	relate	VERB
cana-6098	2	105	stress	stress	NOUN
cana-6098	2	106	highlights	highlight	NOUN
cana-6098	2	107	the	the	DET
cana-6098	2	108	need	need	NOUN
cana-6098	2	109	for	for	ADP
cana-6098	2	110	unobtrusive	unobtrusive	ADJ
cana-6098	2	111	,	,	PUNCT
cana-6098	2	112	continuous	continuous	ADJ
cana-6098	2	113	monitoring	monitoring	NOUN
cana-6098	2	114	tools	tool	NOUN
cana-6098	2	115	.	.	PUNCT
cana-6098	3	1	this	this	DET
cana-6098	3	2	paper	paper	NOUN
cana-6098	3	3	proposes	propose	VERB
cana-6098	3	4	a	a	DET
cana-6098	3	5	multimodal	multimodal	ADJ
cana-6098	3	6	system	system	NOUN
cana-6098	3	7	for	for	ADP
cana-6098	3	8	real	real	ADJ
cana-6098	3	9	-	-	PUNCT
cana-6098	3	10	time	time	NOUN
cana-6098	3	11	detection	detection	NOUN
cana-6098	3	12	of	of	ADP
cana-6098	3	13	employees	employee	NOUN
cana-6098	3	14	’	’	PART
cana-6098	3	15	emotional	emotional	ADJ
cana-6098	3	16	states	state	NOUN
cana-6098	3	17	during	during	ADP
cana-6098	3	18	video	video	NOUN
cana-6098	3	19	conferences	conference	NOUN
cana-6098	3	20	,	,	PUNCT
cana-6098	3	21	with	with	ADP
cana-6098	3	22	a	a	DET
cana-6098	3	23	focus	focus	NOUN
cana-6098	3	24	on	on	ADP
cana-6098	3	25	stress	stress	NOUN
cana-6098	3	26	.	.	PUNCT
cana-6098	4	1	the	the	DET
cana-6098	4	2	framework	framework	NOUN
cana-6098	4	3	integrates	integrate	VERB
cana-6098	4	4	facial	facial	ADJ
cana-6098	4	5	emotion	emotion	NOUN
cana-6098	4	6	recognition	recognition	NOUN
cana-6098	4	7	(	(	PUNCT
cana-6098	4	8	fer	fer	PROPN
cana-6098	4	9	)	)	PUNCT
cana-6098	4	10	,	,	PUNCT
cana-6098	4	11	speech	speech	NOUN
cana-6098	4	12	transcription	transcription	NOUN
cana-6098	4	13	using	use	VERB
cana-6098	4	14	openai	openai	PROPN
cana-6098	4	15	’s	’s	PART
cana-6098	4	16	whisper	whisper	NOUN
cana-6098	4	17	,	,	PUNCT
cana-6098	4	18	nltk	nltk	PROPN
cana-6098	4	19	vader	vader	PROPN
cana-6098	4	20	.	.	PUNCT
cana-6098	5	1	the	the	DET
cana-6098	5	2	results	result	NOUN
cana-6098	5	3	from	from	ADP
cana-6098	5	4	experimental	experimental	ADJ
cana-6098	5	5	show	show	NOUN
cana-6098	5	6	encouraging	encourage	VERB
cana-6098	5	7	performance	performance	NOUN
cana-6098	5	8	:	:	PUNCT
cana-6098	5	9	whisper	whisper	NOUN
cana-6098	5	10	gives	give	VERB
cana-6098	5	11	accurate	accurate	ADJ
cana-6098	5	12	transcription	transcription	NOUN
cana-6098	5	13	,	,	PUNCT
cana-6098	5	14	nltk	nltk	PROPN
cana-6098	5	15	vader	vader	PROPN
cana-6098	5	16	sentiment	sentiment	PROPN
cana-6098	5	17	analysis	analysis	NOUN
cana-6098	5	18	achieves	achieve	VERB
cana-6098	5	19	great	great	ADJ
cana-6098	5	20	classification	classification	NOUN
cana-6098	5	21	accuracy	accuracy	NOUN
cana-6098	5	22	across	across	ADP
cana-6098	5	23	five	five	NUM
cana-6098	5	24	emotion	emotion	NOUN
cana-6098	5	25	categories	category	NOUN
cana-6098	5	26	,	,	PUNCT
cana-6098	5	27	and	and	CCONJ
cana-6098	5	28	multimodal	multimodal	ADJ
cana-6098	5	29	fusion	fusion	NOUN
cana-6098	5	30	extents	extent	NOUN
cana-6098	5	31	up	up	ADP
cana-6098	5	32	to	to	PART
cana-6098	5	33	88	88	NUM
cana-6098	5	34	%	%	NOUN
cana-6098	5	35	accuracy	accuracy	NOUN
cana-6098	5	36	in	in	ADP
cana-6098	5	37	stress	stress	NOUN
cana-6098	5	38	detection	detection	NOUN
cana-6098	5	39	.	.	PUNCT
cana-6098	6	1	this	this	DET
cana-6098	6	2	work	work	NOUN
cana-6098	6	3	founds	found	VERB
cana-6098	6	4	a	a	DET
cana-6098	6	5	basis	basis	NOUN
cana-6098	6	6	for	for	ADP
cana-6098	6	7	real	real	ADJ
cana-6098	6	8	-	-	PUNCT
cana-6098	6	9	time	time	NOUN
cana-6098	6	10	,	,	PUNCT
cana-6098	6	11	automated	automated	ADJ
cana-6098	6	12	valuation	valuation	NOUN
cana-6098	6	13	of	of	ADP
cana-6098	6	14	employee	employee	NOUN
cana-6098	6	15	well	well	ADV
cana-6098	6	16	-	-	PUNCT
cana-6098	6	17	being	being	NOUN
cana-6098	6	18	,	,	PUNCT
cana-6098	6	19	allowing	allow	VERB
cana-6098	6	20	adaptive	adaptive	ADJ
cana-6098	6	21	interferences	interference	NOUN
cana-6098	6	22	and	and	CCONJ
cana-6098	6	23	associate	associate	ADJ
cana-6098	6	24	healthier	healthy	ADJ
cana-6098	6	25	workplace	workplace	NOUN
cana-6098	6	26	surroundings	surrounding	NOUN
cana-6098	6	27	.	.	PUNCT
cana-6098	7	1	keywords	keyword	NOUN
cana-6098	7	2	:	:	PUNCT
cana-6098	7	3	employee	employee	NOUN
cana-6098	7	4	feeling	feeling	NOUN
cana-6098	7	5	detection	detection	NOUN
cana-6098	7	6	,	,	PUNCT
cana-6098	7	7	stress	stress	NOUN
cana-6098	7	8	detection	detection	NOUN
cana-6098	7	9	,	,	PUNCT
cana-6098	7	10	multimodal	multimodal	ADJ
cana-6098	7	11	fusion	fusion	NOUN
cana-6098	7	12	,	,	PUNCT
cana-6098	7	13	deep	deep	ADJ
cana-6098	7	14	learning	learning	NOUN
cana-6098	7	15	,	,	PUNCT
cana-6098	7	16	natural	natural	ADJ
cana-6098	7	17	language	language	NOUN
cana-6098	7	18	processing	processing	NOUN
cana-6098	7	19	,	,	PUNCT
cana-6098	7	20	facial	facial	ADJ
cana-6098	7	21	emotion	emotion	NOUN
cana-6098	7	22	recognition	recognition	NOUN
cana-6098	7	23	,	,	PUNCT
cana-6098	7	24	whisper	whisper	NOUN
cana-6098	7	25	model	model	NOUN
cana-6098	7	26	,	,	PUNCT
cana-6098	7	27	,	,	PUNCT
cana-6098	7	28	real	real	ADJ
cana-6098	7	29	-	-	PUNCT
cana-6098	7	30	time	time	NOUN
cana-6098	7	31	monitoring	monitoring	NOUN
cana-6098	7	32	1	1	NUM
cana-6098	7	33	.	.	PUNCT
cana-6098	7	34	introduction	introduction	NOUN
cana-6098	7	35	in	in	ADP
cana-6098	7	36	current	current	ADJ
cana-6098	7	37	years	year	NOUN
cana-6098	7	38	,	,	PUNCT
cana-6098	7	39	research	research	NOUN
cana-6098	7	40	on	on	ADP
cana-6098	7	41	stress	stress	NOUN
cana-6098	7	42	analysis	analysis	NOUN
cana-6098	7	43	has	have	AUX
cana-6098	7	44	grown	grow	VERB
cana-6098	7	45	rapidly	rapidly	ADV
cana-6098	7	46	.	.	PUNCT
cana-6098	8	1	great	great	ADJ
cana-6098	8	2	levels	level	NOUN
cana-6098	8	3	of	of	ADP
cana-6098	8	4	emotional	emotional	ADJ
cana-6098	8	5	stress	stress	NOUN
cana-6098	8	6	have	have	AUX
cana-6098	8	7	been	be	AUX
cana-6098	8	8	connected	connect	VERB
cana-6098	8	9	to	to	ADP
cana-6098	8	10	dangerous	dangerous	ADJ
cana-6098	8	11	behavioral	behavioral	ADJ
cana-6098	8	12	deviations	deviation	NOUN
cana-6098	8	13	in	in	ADP
cana-6098	8	14	both	both	DET
cana-6098	8	15	men	man	NOUN
cana-6098	8	16	and	and	CCONJ
cana-6098	8	17	women	woman	NOUN
cana-6098	8	18	.	.	PUNCT
cana-6098	9	1	stress	stress	NOUN
cana-6098	9	2	is	be	AUX
cana-6098	9	3	basically	basically	ADV
cana-6098	9	4	the	the	DET
cana-6098	9	5	body	body	NOUN
cana-6098	9	6	’s	’s	PART
cana-6098	9	7	response	response	NOUN
cana-6098	9	8	to	to	ADP
cana-6098	9	9	internal	internal	ADJ
cana-6098	9	10	or	or	CCONJ
cana-6098	9	11	external	external	ADJ
cana-6098	9	12	pressures	pressure	NOUN
cana-6098	9	13	,	,	PUNCT
cana-6098	9	14	and	and	CCONJ
cana-6098	9	15	it	it	PRON
cana-6098	9	16	can	can	AUX
cana-6098	9	17	negatively	negatively	ADV
cana-6098	9	18	mark	mark	VERB
cana-6098	9	19	memory	memory	NOUN
cana-6098	9	20	,	,	PUNCT
cana-6098	9	21	decision	decision	NOUN
cana-6098	9	22	-	-	PUNCT
cana-6098	9	23	making	making	NOUN
cana-6098	9	24	,	,	PUNCT
cana-6098	9	25	and	and	CCONJ
cana-6098	9	26	daily	daily	ADJ
cana-6098	9	27	functioning	functioning	NOUN
cana-6098	9	28	.	.	PUNCT
cana-6098	10	1	extended	extended	ADJ
cana-6098	10	2	contact	contact	NOUN
cana-6098	10	3	to	to	PART
cana-6098	10	4	acute	acute	VERB
cana-6098	10	5	stress	stress	NOUN
cana-6098	10	6	may	may	AUX
cana-6098	10	7	lead	lead	VERB
cana-6098	10	8	to	to	ADP
cana-6098	10	9	worsening	worsen	VERB
cana-6098	10	10	of	of	ADP
cana-6098	10	11	both	both	CCONJ
cana-6098	10	12	physical	physical	ADJ
cana-6098	10	13	and	and	CCONJ
cana-6098	10	14	mental	mental	ADJ
cana-6098	10	15	health	health	NOUN
cana-6098	10	16	,	,	PUNCT
cana-6098	10	17	possibly	possibly	ADV
cana-6098	10	18	causing	cause	VERB
cana-6098	10	19	immune	immune	ADJ
cana-6098	10	20	dysfunction	dysfunction	NOUN
cana-6098	10	21	,	,	PUNCT
cana-6098	10	22	cardiovascular	cardiovascular	ADJ
cana-6098	10	23	issues	issue	NOUN
cana-6098	10	24	,	,	PUNCT
cana-6098	10	25	depression	depression	NOUN
cana-6098	10	26	,	,	PUNCT
cana-6098	10	27	or	or	CCONJ
cana-6098	10	28	other	other	ADJ
cana-6098	10	29	illnesses.[4	illnesses.[4	X
cana-6098	10	30	]	]	X
cana-6098	10	31	in	in	ADP
cana-6098	10	32	modern	modern	ADJ
cana-6098	10	33	society	society	NOUN
cana-6098	10	34	,	,	PUNCT
cana-6098	10	35	stress	stress	NOUN
cana-6098	10	36	has	have	AUX
cana-6098	10	37	become	become	VERB
cana-6098	10	38	widely	widely	ADV
cana-6098	10	39	main	main	ADJ
cana-6098	10	40	and	and	CCONJ
cana-6098	10	41	severe	severe	ADJ
cana-6098	10	42	.	.	PUNCT
cana-6098	11	1	it	it	PRON
cana-6098	11	2	can	can	AUX
cana-6098	11	3	be	be	AUX
cana-6098	11	4	measured	measure	VERB
cana-6098	11	5	through	through	ADP
cana-6098	11	6	questionnaires	questionnaire	NOUN
cana-6098	11	7	or	or	CCONJ
cana-6098	11	8	professional	professional	ADJ
cana-6098	11	9	psychological	psychological	ADJ
cana-6098	11	10	consultations	consultation	NOUN
cana-6098	11	11	.	.	PUNCT
cana-6098	12	1	however	however	ADV
cana-6098	12	2	,	,	PUNCT
cana-6098	12	3	since	since	SCONJ
cana-6098	12	4	psychological	psychological	ADJ
cana-6098	12	5	assessments	assessment	NOUN
cana-6098	12	6	are	be	AUX
cana-6098	12	7	subjective	subjective	ADJ
cana-6098	12	8	and	and	CCONJ
cana-6098	12	9	momentary	momentary	ADJ
cana-6098	12	10	,	,	PUNCT
cana-6098	12	11	they	they	PRON
cana-6098	12	12	often	often	ADV
cana-6098	12	13	produce	produce	VERB
cana-6098	12	14	inaccurate	inaccurate	ADJ
cana-6098	12	15	or	or	CCONJ
cana-6098	12	16	misleading	misleading	ADJ
cana-6098	12	17	results	result	NOUN
cana-6098	12	18	and	and	CCONJ
cana-6098	12	19	fail	fail	VERB
cana-6098	12	20	to	to	PART
cana-6098	12	21	meet	meet	VERB
cana-6098	12	22	the	the	DET
cana-6098	12	23	requirements	requirement	NOUN
cana-6098	12	24	of	of	ADP
cana-6098	12	25	real	real	ADJ
cana-6098	12	26	-	-	PUNCT
cana-6098	12	27	time	time	NOUN
cana-6098	12	28	stress	stress	NOUN
cana-6098	12	29	detection[19	detection[19	NOUN
cana-6098	12	30	]	]	PUNCT
cana-6098	12	31	.	.	PUNCT
cana-6098	13	1	communications	communication	NOUN
cana-6098	13	2	on	on	ADP
cana-6098	13	3	applied	apply	VERB
cana-6098	13	4	nonlinear	nonlinear	ADJ
cana-6098	13	5	analysis	analysis	NOUN
cana-6098	13	6	issn	issn	NOUN
cana-6098	13	7	:	:	PUNCT
cana-6098	13	8	1074	1074	NUM
cana-6098	13	9	-	-	PUNCT
cana-6098	13	10	133x	133x	NUM
cana-6098	13	11	vol	vol	VERB
cana-6098	13	12	32	32	NUM
cana-6098	13	13	no	no	NOUN
cana-6098	13	14	.	.	PUNCT
cana-6098	14	1	10s	10	NOUN
cana-6098	14	2	(	(	PUNCT
cana-6098	14	3	2025	2025	NUM
cana-6098	14	4	)	)	PUNCT
cana-6098	14	5	3334	3334	NUM
cana-6098	14	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-6098	14	7	m	m	NUM
cana-6098	14	8	prolonged	prolonged	ADJ
cana-6098	14	9	exposure	exposure	NOUN
cana-6098	14	10	to	to	ADP
cana-6098	14	11	stressors	stressor	NOUN
cana-6098	14	12	is	be	AUX
cana-6098	14	13	typically	typically	ADV
cana-6098	14	14	linked	link	VERB
cana-6098	14	15	to	to	ADP
cana-6098	14	16	negative	negative	ADJ
cana-6098	14	17	physical	physical	ADJ
cana-6098	14	18	and	and	CCONJ
cana-6098	14	19	psychological	psychological	ADJ
cana-6098	14	20	results	result	NOUN
cana-6098	14	21	,	,	PUNCT
cana-6098	14	22	including	include	VERB
cana-6098	14	23	prolonged	prolonged	ADJ
cana-6098	14	24	illness	illness	NOUN
cana-6098	14	25	,	,	PUNCT
cana-6098	14	26	burnout	burnout	NOUN
cana-6098	14	27	,	,	PUNCT
cana-6098	14	28	and	and	CCONJ
cana-6098	14	29	depression	depression	NOUN
cana-6098	14	30	.	.	PUNCT
cana-6098	15	1	this	this	PRON
cana-6098	15	2	underlines	underline	VERB
cana-6098	15	3	the	the	DET
cana-6098	15	4	urgent	urgent	ADJ
cana-6098	15	5	need	need	NOUN
cana-6098	15	6	for	for	ADP
cana-6098	15	7	continuous	continuous	ADJ
cana-6098	15	8	,	,	PUNCT
cana-6098	15	9	reliable	reliable	ADJ
cana-6098	15	10	,	,	PUNCT
cana-6098	15	11	and	and	CCONJ
cana-6098	15	12	inconspicuous	inconspicuous	ADJ
cana-6098	15	13	systems	system	NOUN
cana-6098	15	14	that	that	PRON
cana-6098	15	15	can	can	AUX
cana-6098	15	16	detect	detect	VERB
cana-6098	15	17	and	and	CCONJ
cana-6098	15	18	monitor	monitor	VERB
cana-6098	15	19	stress	stress	NOUN
cana-6098	15	20	and	and	CCONJ
cana-6098	15	21	overall	overall	ADJ
cana-6098	15	22	emotional	emotional	ADJ
cana-6098	15	23	well	well	ADV
cana-6098	15	24	-	-	PUNCT
cana-6098	15	25	being	being	NOUN
cana-6098	15	26	at	at	ADP
cana-6098	15	27	an	an	DET
cana-6098	15	28	early	early	ADJ
cana-6098	15	29	stage	stage	NOUN
cana-6098	15	30	.	.	PUNCT
cana-6098	16	1	conventional	conventional	ADJ
cana-6098	16	2	valuation	valuation	NOUN
cana-6098	16	3	methods	method	NOUN
cana-6098	16	4	,	,	PUNCT
cana-6098	16	5	such	such	ADJ
cana-6098	16	6	as	as	ADP
cana-6098	16	7	selfreport	selfreport	NOUN
cana-6098	16	8	surveys	survey	NOUN
cana-6098	16	9	,	,	PUNCT
cana-6098	16	10	often	often	ADV
cana-6098	16	11	suffer	suffer	VERB
cana-6098	16	12	from	from	ADP
cana-6098	16	13	subjectivity	subjectivity	NOUN
cana-6098	16	14	,	,	PUNCT
cana-6098	16	15	troublesomeness	troublesomeness	ADJ
cana-6098	16	16	,	,	PUNCT
cana-6098	16	17	and	and	CCONJ
cana-6098	16	18	bias	bias	NOUN
cana-6098	16	19	.	.	PUNCT
cana-6098	17	1	advances	advance	NOUN
cana-6098	17	2	in	in	ADP
cana-6098	17	3	artificial	artificial	ADJ
cana-6098	17	4	intelligence	intelligence	NOUN
cana-6098	17	5	and	and	CCONJ
cana-6098	17	6	machine	machine	NOUN
cana-6098	17	7	learning	learn	VERB
cana-6098	17	8	joint	joint	NOUN
cana-6098	17	9	with	with	ADP
cana-6098	17	10	the	the	DET
cana-6098	17	11	extensive	extensive	ADJ
cana-6098	17	12	use	use	NOUN
cana-6098	17	13	of	of	ADP
cana-6098	17	14	digital	digital	ADJ
cana-6098	17	15	communication	communication	NOUN
cana-6098	17	16	platforms	platform	NOUN
cana-6098	17	17	like	like	ADP
cana-6098	17	18	video	video	NOUN
cana-6098	17	19	conferencing	conferencing	NOUN
cana-6098	17	20	and	and	CCONJ
cana-6098	17	21	real	real	ADJ
cana-6098	17	22	-	-	PUNCT
cana-6098	17	23	time	time	NOUN
cana-6098	17	24	monitoring	monitoring	NOUN
cana-6098	17	25	of	of	ADP
cana-6098	17	26	mental	mental	ADJ
cana-6098	17	27	states	state	NOUN
cana-6098	17	28	.	.	PUNCT
cana-6098	18	1	this	this	DET
cana-6098	18	2	study	study	NOUN
cana-6098	18	3	introduces	introduce	VERB
cana-6098	18	4	a	a	DET
cana-6098	18	5	multimodal	multimodal	NOUN
cana-6098	18	6	framework	framework	NOUN
cana-6098	18	7	for	for	ADP
cana-6098	18	8	detecting	detect	VERB
cana-6098	18	9	employees	employee	NOUN
cana-6098	18	10	’	’	PART
cana-6098	18	11	emotional	emotional	ADJ
cana-6098	18	12	states	state	NOUN
cana-6098	18	13	,	,	PUNCT
cana-6098	18	14	with	with	ADP
cana-6098	18	15	a	a	DET
cana-6098	18	16	particular	particular	ADJ
cana-6098	18	17	emphasis	emphasis	NOUN
cana-6098	18	18	on	on	ADP
cana-6098	18	19	stress	stress	NOUN
cana-6098	18	20	,	,	PUNCT
cana-6098	18	21	using	use	VERB
cana-6098	18	22	data	datum	NOUN
cana-6098	18	23	from	from	ADP
cana-6098	18	24	video	video	NOUN
cana-6098	18	25	conferencing	conferencing	NOUN
cana-6098	18	26	and	and	CCONJ
cana-6098	18	27	from	from	ADP
cana-6098	18	28	microsoft	microsoft	PROPN
cana-6098	18	29	's	's	PART
cana-6098	18	30	fer+	fer+	PROPN
cana-6098	18	31	(	(	PUNCT
cana-6098	18	32	facial	facial	ADJ
cana-6098	18	33	expression	expression	NOUN
cana-6098	18	34	recognition	recognition	NOUN
cana-6098	18	35	plus	plus	CCONJ
cana-6098	18	36	)	)	PUNCT
cana-6098	18	37	dataset	dataset	NOUN
cana-6098	18	38	.	.	PUNCT
cana-6098	19	1	the	the	DET
cana-6098	19	2	system	system	NOUN
cana-6098	19	3	incorporates	incorporate	VERB
cana-6098	19	4	machine	machine	NOUN
cana-6098	19	5	learning	learning	NOUN
cana-6098	19	6	and	and	CCONJ
cana-6098	19	7	natural	natural	ADJ
cana-6098	19	8	language	language	NOUN
cana-6098	19	9	processing	processing	NOUN
cana-6098	19	10	methods	method	NOUN
cana-6098	19	11	to	to	PART
cana-6098	19	12	analyze	analyze	VERB
cana-6098	19	13	multiple	multiple	ADJ
cana-6098	19	14	data	datum	NOUN
cana-6098	19	15	streams	stream	NOUN
cana-6098	19	16	,	,	PUNCT
cana-6098	19	17	including	include	VERB
cana-6098	19	18	facial	facial	ADJ
cana-6098	19	19	expressions	expression	NOUN
cana-6098	19	20	,	,	PUNCT
cana-6098	19	21	speech	speech	NOUN
cana-6098	19	22	,	,	PUNCT
cana-6098	19	23	and	and	CCONJ
cana-6098	19	24	vocal	vocal	ADJ
cana-6098	19	25	tone	tone	NOUN
cana-6098	19	26	.	.	PUNCT
cana-6098	20	1	its	its	PRON
cana-6098	20	2	main	main	ADJ
cana-6098	20	3	objective	objective	NOUN
cana-6098	20	4	is	be	AUX
cana-6098	20	5	to	to	PART
cana-6098	20	6	deliver	deliver	VERB
cana-6098	20	7	a	a	DET
cana-6098	20	8	complete	complete	ADJ
cana-6098	20	9	view	view	NOUN
cana-6098	20	10	of	of	ADP
cana-6098	20	11	employees	employee	NOUN
cana-6098	20	12	emotional	emotional	ADJ
cana-6098	20	13	well	well	ADV
cana-6098	20	14	-	-	PUNCT
cana-6098	20	15	being	being	NOUN
cana-6098	20	16	,	,	PUNCT
cana-6098	20	17	enabling	enable	VERB
cana-6098	20	18	early	early	ADJ
cana-6098	20	19	identification	identification	NOUN
cana-6098	20	20	of	of	ADP
cana-6098	20	21	stress	stress	NOUN
cana-6098	20	22	and	and	CCONJ
cana-6098	20	23	easing	ease	VERB
cana-6098	20	24	timely	timely	ADJ
cana-6098	20	25	intervention	intervention	NOUN
cana-6098	20	26	.	.	PUNCT
cana-6098	21	1	the	the	DET
cana-6098	21	2	paper	paper	NOUN
cana-6098	21	3	details	detail	VERB
cana-6098	21	4	the	the	DET
cana-6098	21	5	system	system	NOUN
cana-6098	21	6	’s	’s	PART
cana-6098	21	7	architecture	architecture	NOUN
cana-6098	21	8	,	,	PUNCT
cana-6098	21	9	preprocessing	preprocessing	NOUN
cana-6098	21	10	and	and	CCONJ
cana-6098	21	11	analysis	analysis	NOUN
cana-6098	21	12	techniques	technique	NOUN
cana-6098	21	13	across	across	ADP
cana-6098	21	14	modalities	modality	NOUN
cana-6098	21	15	,	,	PUNCT
cana-6098	21	16	experimental	experimental	ADJ
cana-6098	21	17	design	design	NOUN
cana-6098	21	18	,	,	PUNCT
cana-6098	21	19	and	and	CCONJ
cana-6098	21	20	expected	expect	VERB
cana-6098	21	21	outcomes	outcome	NOUN
cana-6098	21	22	,	,	PUNCT
cana-6098	21	23	supported	support	VERB
cana-6098	21	24	by	by	ADP
cana-6098	21	25	both	both	DET
cana-6098	21	26	implementation	implementation	NOUN
cana-6098	21	27	insights	insight	NOUN
cana-6098	21	28	from	from	ADP
cana-6098	21	29	a	a	DET
cana-6098	21	30	prototype	prototype	NOUN
cana-6098	21	31	notebook	notebook	NOUN
cana-6098	21	32	and	and	CCONJ
cana-6098	21	33	findings	finding	NOUN
cana-6098	21	34	from	from	ADP
cana-6098	21	35	related	related	ADJ
cana-6098	21	36	research	research	NOUN
cana-6098	21	37	.	.	PUNCT
cana-6098	22	1	changes	change	NOUN
cana-6098	22	2	in	in	ADP
cana-6098	22	3	voice	voice	NOUN
cana-6098	22	4	,	,	PUNCT
cana-6098	22	5	facial	facial	ADJ
cana-6098	22	6	expressions	expression	NOUN
cana-6098	22	7	,	,	PUNCT
cana-6098	22	8	and	and	CCONJ
cana-6098	22	9	involuntary	involuntary	ADJ
cana-6098	22	10	bodily	bodily	ADJ
cana-6098	22	11	functions	function	NOUN
cana-6098	22	12	often	often	ADV
cana-6098	22	13	accompany	accompany	VERB
cana-6098	22	14	stress	stress	NOUN
cana-6098	22	15	.	.	PUNCT
cana-6098	23	1	fer	fer	PROPN
cana-6098	23	2	technologies	technology	NOUN
cana-6098	23	3	powered	power	VERB
cana-6098	23	4	by	by	ADP
cana-6098	23	5	computer	computer	NOUN
cana-6098	23	6	vision	vision	NOUN
cana-6098	23	7	and	and	CCONJ
cana-6098	23	8	artificial	artificial	ADJ
cana-6098	23	9	intelligence	intelligence	NOUN
cana-6098	23	10	have	have	AUX
cana-6098	23	11	grown	grow	VERB
cana-6098	23	12	rapidly	rapidly	ADV
cana-6098	23	13	in	in	ADP
cana-6098	23	14	recent	recent	ADJ
cana-6098	23	15	years	year	NOUN
cana-6098	23	16	.	.	PUNCT
cana-6098	24	1	facial	facial	ADJ
cana-6098	24	2	expressions	expression	NOUN
cana-6098	24	3	,	,	PUNCT
cana-6098	24	4	produced	produce	VERB
cana-6098	24	5	by	by	ADP
cana-6098	24	6	muscle	muscle	NOUN
cana-6098	24	7	movements	movement	NOUN
cana-6098	24	8	play	play	VERB
cana-6098	24	9	a	a	DET
cana-6098	24	10	important	important	ADJ
cana-6098	24	11	role	role	NOUN
cana-6098	24	12	in	in	ADP
cana-6098	24	13	human	human	ADJ
cana-6098	24	14	communication	communication	NOUN
cana-6098	24	15	.	.	PUNCT
cana-6098	25	1	they	they	PRON
cana-6098	25	2	spread	spread	VERB
cana-6098	25	3	a	a	DET
cana-6098	25	4	wide	wide	ADJ
cana-6098	25	5	range	range	NOUN
cana-6098	25	6	of	of	ADP
cana-6098	25	7	information	information	NOUN
cana-6098	25	8	,	,	PUNCT
cana-6098	25	9	from	from	ADP
cana-6098	25	10	subtle	subtle	ADJ
cana-6098	25	11	cues	cue	NOUN
cana-6098	25	12	like	like	ADP
cana-6098	25	13	an	an	DET
cana-6098	25	14	eyebrow	eyebrow	NOUN
cana-6098	25	15	raise	raise	NOUN
cana-6098	25	16	in	in	ADP
cana-6098	25	17	conversation	conversation	NOUN
cana-6098	25	18	to	to	ADP
cana-6098	25	19	signals	signal	NOUN
cana-6098	25	20	tied	tie	VERB
cana-6098	25	21	to	to	ADP
cana-6098	25	22	basic	basic	ADJ
cana-6098	25	23	survival	survival	NOUN
cana-6098	25	24	.	.	PUNCT
cana-6098	26	1	factors	factor	NOUN
cana-6098	26	2	such	such	ADJ
cana-6098	26	3	as	as	ADP
cana-6098	26	4	lighting	lighting	NOUN
cana-6098	26	5	,	,	PUNCT
cana-6098	26	6	pose	pose	VERB
cana-6098	26	7	,	,	PUNCT
cana-6098	26	8	background	background	NOUN
cana-6098	26	9	,	,	PUNCT
cana-6098	26	10	camera	camera	NOUN
cana-6098	26	11	angle	angle	NOUN
cana-6098	26	12	,	,	PUNCT
cana-6098	26	13	sealing	sealing	NOUN
cana-6098	26	14	,	,	PUNCT
cana-6098	26	15	and	and	CCONJ
cana-6098	26	16	misalignment	misalignment	NOUN
cana-6098	26	17	significantly	significantly	ADV
cana-6098	26	18	influence	influence	VERB
cana-6098	26	19	fer	fer	PROPN
cana-6098	26	20	performance	performance	NOUN
cana-6098	26	21	.	.	PUNCT
cana-6098	27	1	effective	effective	ADJ
cana-6098	27	2	fer	fer	PROPN
cana-6098	27	3	depends	depend	VERB
cana-6098	27	4	on	on	ADP
cana-6098	27	5	both	both	CCONJ
cana-6098	27	6	perceptual	perceptual	ADJ
cana-6098	27	7	system	system	NOUN
cana-6098	27	8	data	datum	NOUN
cana-6098	27	9	and	and	CCONJ
cana-6098	27	10	computations	computation	NOUN
cana-6098	27	11	within	within	ADP
cana-6098	27	12	the	the	DET
cana-6098	27	13	visual	visual	ADJ
cana-6098	27	14	-	-	PUNCT
cana-6098	27	15	perceptual	perceptual	NOUN
cana-6098	27	16	system	system	NOUN
cana-6098	27	17	,	,	PUNCT
cana-6098	27	18	supported	support	VERB
cana-6098	27	19	by	by	ADP
cana-6098	27	20	perceptual	perceptual	ADJ
cana-6098	27	21	processes	process	NOUN
cana-6098	27	22	.	.	PUNCT
cana-6098	28	1	so	so	ADV
cana-6098	28	2	far	far	ADV
cana-6098	28	3	,	,	PUNCT
cana-6098	28	4	maximum	maximum	ADJ
cana-6098	28	5	research	research	NOUN
cana-6098	28	6	has	have	AUX
cana-6098	28	7	attentive	attentive	ADJ
cana-6098	28	8	on	on	ADP
cana-6098	28	9	workflow	workflow	NOUN
cana-6098	28	10	design	design	NOUN
cana-6098	28	11	and	and	CCONJ
cana-6098	28	12	feature	feature	NOUN
cana-6098	28	13	extraction	extraction	NOUN
cana-6098	28	14	.	.	PUNCT
cana-6098	29	1	fer	fer	PROPN
cana-6098	29	2	has	have	AUX
cana-6098	29	3	been	be	AUX
cana-6098	29	4	explored	explore	VERB
cana-6098	29	5	from	from	ADP
cana-6098	29	6	both	both	CCONJ
cana-6098	29	7	academic	academic	ADJ
cana-6098	29	8	and	and	CCONJ
cana-6098	29	9	industrial	industrial	ADJ
cana-6098	29	10	scenarios	scenario	NOUN
cana-6098	29	11	,	,	PUNCT
cana-6098	29	12	as	as	SCONJ
cana-6098	29	13	it	it	PRON
cana-6098	29	14	can	can	AUX
cana-6098	29	15	disclose	disclose	VERB
cana-6098	29	16	insights	insight	NOUN
cana-6098	29	17	into	into	ADP
cana-6098	29	18	personality	personality	NOUN
cana-6098	29	19	,	,	PUNCT
cana-6098	29	20	temperament	temperament	NOUN
cana-6098	29	21	,	,	PUNCT
cana-6098	29	22	cognitive	cognitive	ADJ
cana-6098	29	23	ability	ability	NOUN
cana-6098	29	24	,	,	PUNCT
cana-6098	29	25	and	and	CCONJ
cana-6098	29	26	psychological	psychological	ADJ
cana-6098	29	27	disorders	disorder	NOUN
cana-6098	29	28	.	.	PUNCT
cana-6098	30	1	facial	facial	ADJ
cana-6098	30	2	expressions	expression	NOUN
cana-6098	30	3	often	often	ADV
cana-6098	30	4	trigger	trigger	VERB
cana-6098	30	5	immediate	immediate	ADJ
cana-6098	30	6	responses	response	NOUN
cana-6098	30	7	and	and	CCONJ
cana-6098	30	8	commonly	commonly	ADV
cana-6098	30	9	mirror	mirror	NOUN
cana-6098	30	10	emotions	emotion	NOUN
cana-6098	30	11	.	.	PUNCT
cana-6098	31	1	when	when	SCONJ
cana-6098	31	2	facial	facial	ADJ
cana-6098	31	3	muscles	muscle	NOUN
cana-6098	31	4	contract	contract	NOUN
cana-6098	31	5	in	in	ADP
cana-6098	31	6	response	response	NOUN
cana-6098	31	7	to	to	ADP
cana-6098	31	8	a	a	DET
cana-6098	31	9	particular	particular	ADJ
cana-6098	31	10	event	event	NOUN
cana-6098	31	11	or	or	CCONJ
cana-6098	31	12	question	question	NOUN
cana-6098	31	13	,	,	PUNCT
cana-6098	31	14	they	they	PRON
cana-6098	31	15	can	can	AUX
cana-6098	31	16	rapidly	rapidly	ADV
cana-6098	31	17	communicate	communicate	VERB
cana-6098	31	18	significant	significant	ADJ
cana-6098	31	19	information	information	NOUN
cana-6098	31	20	in	in	ADP
cana-6098	31	21	both	both	CCONJ
cana-6098	31	22	social	social	ADJ
cana-6098	31	23	and	and	CCONJ
cana-6098	31	24	managerial	managerial	ADJ
cana-6098	31	25	interactions	interaction	NOUN
cana-6098	31	26	.	.	PUNCT
cana-6098	32	1	therefore	therefore	ADV
cana-6098	32	2	,	,	PUNCT
cana-6098	32	3	automatic	automatic	ADJ
cana-6098	32	4	fer	fer	PROPN
cana-6098	32	5	methods	method	NOUN
cana-6098	32	6	are	be	AUX
cana-6098	32	7	essential	essential	ADJ
cana-6098	32	8	for	for	ADP
cana-6098	32	9	computational	computational	ADJ
cana-6098	32	10	systems	system	NOUN
cana-6098	32	11	to	to	PART
cana-6098	32	12	accurately	accurately	ADV
cana-6098	32	13	evaluate	evaluate	VERB
cana-6098	32	14	an	an	DET
cana-6098	32	15	individual	individual	NOUN
cana-6098	32	16	’s	’s	PART
cana-6098	32	17	emotional	emotional	ADJ
cana-6098	32	18	state.[33	state.[33	PROPN
cana-6098	32	19	]	]	PUNCT
cana-6098	32	20	this	this	DET
cana-6098	32	21	study	study	NOUN
cana-6098	32	22	focuses	focus	VERB
cana-6098	32	23	on	on	ADP
cana-6098	32	24	evaluating	evaluate	VERB
cana-6098	32	25	the	the	DET
cana-6098	32	26	transcription	transcription	NOUN
cana-6098	32	27	performance	performance	NOUN
cana-6098	32	28	of	of	ADP
cana-6098	32	29	whisper	whisper	NOUN
cana-6098	32	30	,	,	PUNCT
cana-6098	32	31	an	an	DET
cana-6098	32	32	automatic	automatic	ADJ
cana-6098	32	33	speech	speech	NOUN
cana-6098	32	34	recognition	recognition	NOUN
cana-6098	32	35	(	(	PUNCT
cana-6098	32	36	asr	asr	PROPN
cana-6098	32	37	)	)	PUNCT
cana-6098	32	38	model	model	NOUN
cana-6098	32	39	developed	develop	VERB
cana-6098	32	40	by	by	ADP
cana-6098	32	41	openai	openai	NOUN
cana-6098	33	1	[	[	X
cana-6098	33	2	37	37	NUM
cana-6098	33	3	]	]	PUNCT
cana-6098	33	4	.	.	PUNCT
cana-6098	34	1	the	the	DET
cana-6098	34	2	tool	tool	NOUN
cana-6098	34	3	is	be	AUX
cana-6098	34	4	being	be	AUX
cana-6098	34	5	used	use	VERB
cana-6098	34	6	within	within	ADP
cana-6098	34	7	a	a	DET
cana-6098	34	8	research	research	NOUN
cana-6098	34	9	project	project	NOUN
cana-6098	34	10	designed	design	VERB
cana-6098	34	11	to	to	PART
cana-6098	34	12	create	create	VERB
cana-6098	34	13	an	an	DET
cana-6098	34	14	automatic	automatic	ADJ
cana-6098	34	15	support	support	NOUN
cana-6098	34	16	system	system	NOUN
cana-6098	34	17	for	for	ADP
cana-6098	34	18	diagnosing	diagnose	VERB
cana-6098	34	19	depression	depression	NOUN
cana-6098	34	20	,	,	PUNCT
cana-6098	34	21	where	where	SCONJ
cana-6098	34	22	it	it	PRON
cana-6098	34	23	serves	serve	VERB
cana-6098	34	24	to	to	PART
cana-6098	34	25	transcribe	transcribe	VERB
cana-6098	34	26	audio	audio	ADJ
cana-6098	34	27	recordings	recording	NOUN
cana-6098	34	28	from	from	ADP
cana-6098	34	29	both	both	CCONJ
cana-6098	34	30	depressed	depressed	ADJ
cana-6098	34	31	and	and	CCONJ
cana-6098	34	32	healthy	healthy	ADJ
cana-6098	34	33	participants	participant	NOUN
cana-6098	34	34	.	.	PUNCT
cana-6098	35	1	given	give	VERB
cana-6098	35	2	the	the	DET
cana-6098	35	3	increasing	increase	VERB
cana-6098	35	4	integration	integration	NOUN
cana-6098	35	5	of	of	ADP
cana-6098	35	6	technology	technology	NOUN
cana-6098	35	7	into	into	ADP
cana-6098	35	8	both	both	CCONJ
cana-6098	35	9	personal	personal	ADJ
cana-6098	35	10	and	and	CCONJ
cana-6098	35	11	professional	professional	ADJ
cana-6098	35	12	life	life	NOUN
cana-6098	35	13	,	,	PUNCT
cana-6098	35	14	it	it	PRON
cana-6098	35	15	is	be	AUX
cana-6098	35	16	natural	natural	ADJ
cana-6098	35	17	to	to	PART
cana-6098	35	18	reflect	reflect	VERB
cana-6098	35	19	on	on	ADP
cana-6098	35	20	its	its	PRON
cana-6098	35	21	impact	impact	NOUN
cana-6098	35	22	on	on	ADP
cana-6098	35	23	communication	communication	NOUN
cana-6098	35	24	and	and	CCONJ
cana-6098	35	25	collaboration	collaboration	NOUN
cana-6098	35	26	,	,	PUNCT
cana-6098	35	27	as	as	ADV
cana-6098	35	28	well	well	ADV
cana-6098	35	29	as	as	ADP
cana-6098	35	30	the	the	DET
cana-6098	35	31	potential	potential	ADJ
cana-6098	35	32	communications	communication	NOUN
cana-6098	35	33	on	on	ADP
cana-6098	35	34	applied	apply	VERB
cana-6098	35	35	nonlinear	nonlinear	ADJ
cana-6098	35	36	analysis	analysis	NOUN
cana-6098	35	37	issn	issn	NOUN
cana-6098	35	38	:	:	PUNCT
cana-6098	35	39	1074	1074	NUM
cana-6098	35	40	-	-	PUNCT
cana-6098	35	41	133x	133x	NUM
cana-6098	35	42	vol	vol	VERB
cana-6098	35	43	32	32	NUM
cana-6098	35	44	no	no	NOUN
cana-6098	35	45	.	.	PUNCT
cana-6098	36	1	10s	10	NOUN
cana-6098	36	2	(	(	PUNCT
cana-6098	36	3	2025	2025	NUM
cana-6098	36	4	)	)	PUNCT
cana-6098	36	5	3335	3335	NUM
cana-6098	36	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-6098	36	7	m	m	NOUN
cana-6098	36	8	benefits	benefit	NOUN
cana-6098	36	9	of	of	ADP
cana-6098	36	10	interactive	interactive	ADJ
cana-6098	36	11	artificial	artificial	ADJ
cana-6098	36	12	intelligence	intelligence	NOUN
cana-6098	36	13	in	in	ADP
cana-6098	36	14	promoting	promote	VERB
cana-6098	36	15	and	and	CCONJ
cana-6098	36	16	supporting	support	VERB
cana-6098	36	17	mental	mental	ADJ
cana-6098	36	18	health	health	NOUN
cana-6098	36	19	.	.	PUNCT
cana-6098	37	1	the	the	DET
cana-6098	37	2	objective	objective	NOUN
cana-6098	37	3	is	be	AUX
cana-6098	37	4	to	to	PART
cana-6098	37	5	detect	detect	VERB
cana-6098	37	6	speech	speech	NOUN
cana-6098	37	7	features	feature	NOUN
cana-6098	37	8	that	that	PRON
cana-6098	37	9	could	could	AUX
cana-6098	37	10	indicate	indicate	VERB
cana-6098	37	11	the	the	DET
cana-6098	37	12	presence	presence	NOUN
cana-6098	37	13	of	of	ADP
cana-6098	37	14	depression	depression	NOUN
cana-6098	37	15	.	.	PUNCT
cana-6098	38	1	more	more	ADV
cana-6098	38	2	precisely	precisely	ADV
cana-6098	38	3	,	,	PUNCT
cana-6098	38	4	our	our	PRON
cana-6098	38	5	focus	focus	NOUN
cana-6098	38	6	was	be	AUX
cana-6098	38	7	on	on	ADP
cana-6098	38	8	examining	examine	VERB
cana-6098	38	9	verbal	verbal	ADJ
cana-6098	38	10	behavior	behavior	NOUN
cana-6098	38	11	,	,	PUNCT
cana-6098	38	12	which	which	PRON
cana-6098	38	13	makes	make	VERB
cana-6098	38	14	it	it	PRON
cana-6098	38	15	possible	possible	ADJ
cana-6098	38	16	to	to	PART
cana-6098	38	17	examine	examine	VERB
cana-6098	38	18	both	both	CCONJ
cana-6098	38	19	the	the	DET
cana-6098	38	20	content	content	NOUN
cana-6098	38	21	and	and	CCONJ
cana-6098	38	22	the	the	DET
cana-6098	38	23	linguistic	linguistic	ADJ
cana-6098	38	24	style	style	NOUN
cana-6098	38	25	—	—	PUNCT
cana-6098	38	26	two	two	NUM
cana-6098	38	27	dimensions	dimension	NOUN
cana-6098	38	28	that	that	PRON
cana-6098	38	29	may	may	AUX
cana-6098	38	30	reveal	reveal	VERB
cana-6098	38	31	cognitive	cognitive	ADJ
cana-6098	38	32	patterns	pattern	NOUN
cana-6098	38	33	and	and	CCONJ
cana-6098	38	34	emotional	emotional	ADJ
cana-6098	38	35	states	state	NOUN
cana-6098	38	36	(	(	PUNCT
cana-6098	38	37	such	such	ADJ
cana-6098	38	38	as	as	ADP
cana-6098	38	39	anger	anger	NOUN
cana-6098	38	40	,	,	PUNCT
cana-6098	38	41	anxiety	anxiety	NOUN
cana-6098	38	42	,	,	PUNCT
cana-6098	38	43	or	or	CCONJ
cana-6098	38	44	sadness	sadness	NOUN
cana-6098	38	45	)	)	PUNCT
cana-6098	38	46	that	that	PRON
cana-6098	38	47	are	be	AUX
cana-6098	38	48	prevalent	prevalent	ADJ
cana-6098	38	49	or	or	CCONJ
cana-6098	38	50	maladaptive	maladaptive	ADJ
cana-6098	38	51	in	in	ADP
cana-6098	38	52	depressive	depressive	ADJ
cana-6098	38	53	disorders	disorder	NOUN
cana-6098	38	54	.	.	PUNCT
cana-6098	39	1	the	the	DET
cana-6098	39	2	collected	collect	VERB
cana-6098	39	3	audio	audio	ADJ
cana-6098	39	4	recordings	recording	NOUN
cana-6098	39	5	first	first	ADV
cana-6098	39	6	had	have	VERB
cana-6098	39	7	to	to	PART
cana-6098	39	8	be	be	AUX
cana-6098	39	9	transcribed	transcribe	VERB
cana-6098	39	10	with	with	ADP
cana-6098	39	11	whisper	whisper	NOUN
cana-6098	39	12	,	,	PUNCT
cana-6098	39	13	an	an	DET
cana-6098	39	14	automatic	automatic	ADJ
cana-6098	39	15	speech	speech	NOUN
cana-6098	39	16	recognition	recognition	NOUN
cana-6098	39	17	(	(	PUNCT
cana-6098	39	18	asr	asr	PROPN
cana-6098	39	19	)	)	PUNCT
cana-6098	39	20	model	model	NOUN
cana-6098	39	21	developed	develop	VERB
cana-6098	39	22	by	by	ADP
cana-6098	39	23	openai	openai	NOUN
cana-6098	39	24	.	.	PUNCT
cana-6098	40	1	generally	generally	ADV
cana-6098	40	2	,	,	PUNCT
cana-6098	40	3	asr	asr	PROPN
cana-6098	40	4	systems	system	NOUN
cana-6098	40	5	gets	get	VERB
cana-6098	40	6	acoustic	acoustic	ADJ
cana-6098	40	7	input	input	NOUN
cana-6098	40	8	from	from	ADP
cana-6098	40	9	a	a	DET
cana-6098	40	10	speaker	speaker	NOUN
cana-6098	40	11	via	via	ADP
cana-6098	40	12	a	a	DET
cana-6098	40	13	microphone	microphone	NOUN
cana-6098	40	14	,	,	PUNCT
cana-6098	40	15	process	process	NOUN
cana-6098	40	16	it	it	PRON
cana-6098	40	17	using	use	VERB
cana-6098	40	18	patterns	pattern	NOUN
cana-6098	40	19	,	,	PUNCT
cana-6098	40	20	models	model	NOUN
cana-6098	40	21	,	,	PUNCT
cana-6098	40	22	or	or	CCONJ
cana-6098	40	23	algorithms	algorithm	NOUN
cana-6098	40	24	,	,	PUNCT
cana-6098	40	25	and	and	CCONJ
cana-6098	40	26	generate	generate	VERB
cana-6098	40	27	an	an	DET
cana-6098	40	28	output	output	NOUN
cana-6098	40	29	—	—	PUNCT
cana-6098	40	30	typically	typically	ADV
cana-6098	40	31	in	in	ADP
cana-6098	40	32	text	text	NOUN
cana-6098	40	33	form	form	NOUN
cana-6098	40	34	.	.	PUNCT
cana-6098	41	1	the	the	DET
cana-6098	41	2	performance	performance	NOUN
cana-6098	41	3	accuracy	accuracy	NOUN
cana-6098	41	4	of	of	ADP
cana-6098	41	5	a	a	DET
cana-6098	41	6	speech	speech	NOUN
cana-6098	41	7	recognition	recognition	NOUN
cana-6098	41	8	system	system	NOUN
cana-6098	41	9	is	be	AUX
cana-6098	41	10	influenced	influence	VERB
cana-6098	41	11	by	by	ADP
cana-6098	41	12	several	several	ADJ
cana-6098	41	13	factors	factor	NOUN
cana-6098	41	14	,	,	PUNCT
cana-6098	41	15	including	include	VERB
cana-6098	41	16	whether	whether	SCONJ
cana-6098	41	17	it	it	PRON
cana-6098	41	18	is	be	AUX
cana-6098	41	19	speaker	speaker	NOUN
cana-6098	41	20	-	-	PUNCT
cana-6098	41	21	dependent	dependent	ADJ
cana-6098	41	22	or	or	CCONJ
cana-6098	41	23	independent	independent	ADJ
cana-6098	41	24	,	,	PUNCT
cana-6098	41	25	the	the	DET
cana-6098	41	26	use	use	NOUN
cana-6098	41	27	of	of	ADP
cana-6098	41	28	discrete	discrete	ADJ
cana-6098	41	29	or	or	CCONJ
cana-6098	41	30	continuous	continuous	ADJ
cana-6098	41	31	word	word	NOUN
cana-6098	41	32	recognition	recognition	NOUN
cana-6098	41	33	,	,	PUNCT
cana-6098	41	34	vocabulary	vocabulary	ADJ
cana-6098	41	35	size	size	NOUN
cana-6098	41	36	,	,	PUNCT
cana-6098	41	37	and	and	CCONJ
cana-6098	41	38	environmental	environmental	ADJ
cana-6098	41	39	conditions	condition	NOUN
cana-6098	41	40	.	.	PUNCT
cana-6098	42	1	whisper	whisper	NOUN
cana-6098	42	2	represents	represent	VERB
cana-6098	42	3	the	the	DET
cana-6098	42	4	newest	new	ADJ
cana-6098	42	5	advancement	advancement	NOUN
cana-6098	42	6	in	in	ADP
cana-6098	42	7	a	a	DET
cana-6098	42	8	line	line	NOUN
cana-6098	42	9	of	of	ADP
cana-6098	42	10	convolutional	convolutional	ADJ
cana-6098	42	11	transformer	transformer	NOUN
cana-6098	42	12	end	end	NOUN
cana-6098	42	13	-	-	PUNCT
cana-6098	42	14	to	to	ADP
cana-6098	42	15	-	-	PUNCT
cana-6098	42	16	end	end	NOUN
cana-6098	42	17	asr	asr	NOUN
cana-6098	42	18	models	model	NOUN
cana-6098	42	19	.	.	PUNCT
cana-6098	43	1	this	this	DET
cana-6098	43	2	study	study	NOUN
cana-6098	43	3	concentrates	concentrate	VERB
cana-6098	43	4	on	on	ADP
cana-6098	43	5	whisper	whisper	NOUN
cana-6098	43	6	’s	’s	PART
cana-6098	43	7	transcription	transcription	NOUN
cana-6098	43	8	of	of	ADP
cana-6098	43	9	the	the	DET
cana-6098	43	10	“	"	PUNCT
cana-6098	43	11	tale	tale	ADJ
cana-6098	43	12	task	task	NOUN
cana-6098	43	13	.	.	PUNCT
cana-6098	43	14	”	"	PUNCT
cana-6098	44	1	the	the	DET
cana-6098	44	2	rationale	rationale	NOUN
cana-6098	44	3	for	for	ADP
cana-6098	44	4	this	this	DET
cana-6098	44	5	choice	choice	NOUN
cana-6098	44	6	is	be	AUX
cana-6098	44	7	that	that	SCONJ
cana-6098	44	8	evaluating	evaluate	VERB
cana-6098	44	9	whisper	whisper	NOUN
cana-6098	44	10	’s	’s	PART
cana-6098	44	11	performance	performance	NOUN
cana-6098	44	12	required	require	VERB
cana-6098	44	13	starting	start	VERB
cana-6098	44	14	with	with	ADP
cana-6098	44	15	a	a	DET
cana-6098	44	16	ground	ground	NOUN
cana-6098	44	17	truth	truth	NOUN
cana-6098	44	18	—	—	PUNCT
cana-6098	44	19	the	the	DET
cana-6098	44	20	original	original	ADJ
cana-6098	44	21	fable	fable	NOUN
cana-6098	44	22	text	text	NOUN
cana-6098	44	23	—	—	PUNCT
cana-6098	44	24	to	to	PART
cana-6098	44	25	compare	compare	VERB
cana-6098	44	26	against	against	ADP
cana-6098	44	27	its	its	PRON
cana-6098	44	28	final	final	ADJ
cana-6098	44	29	transcriptions	transcription	NOUN
cana-6098	44	30	.	.	PUNCT
cana-6098	45	1	data	datum	NOUN
cana-6098	45	2	from	from	ADP
cana-6098	45	3	the	the	DET
cana-6098	45	4	diary	diary	ADJ
cana-6098	45	5	task	task	NOUN
cana-6098	45	6	have	have	AUX
cana-6098	45	7	already	already	ADV
cana-6098	45	8	been	be	AUX
cana-6098	45	9	examined	examine	VERB
cana-6098	45	10	and	and	CCONJ
cana-6098	45	11	discussed	discuss	VERB
cana-6098	45	12	in	in	ADP
cana-6098	45	13	other	other	ADJ
cana-6098	45	14	studies	study	NOUN
cana-6098	45	15	on	on	ADP
cana-6098	45	16	verbal	verbal	ADJ
cana-6098	45	17	behavior	behavior	NOUN
cana-6098	45	18	analysis	analysis	NOUN
cana-6098	45	19	,	,	PUNCT
cana-6098	45	20	which	which	PRON
cana-6098	45	21	have	have	AUX
cana-6098	45	22	been	be	AUX
cana-6098	45	23	submitted	submit	VERB
cana-6098	45	24	for	for	ADP
cana-6098	45	25	publication	publication	NOUN
cana-6098	45	26	and	and	CCONJ
cana-6098	45	27	are	be	AUX
cana-6098	45	28	currently	currently	ADV
cana-6098	45	29	under	under	ADP
cana-6098	45	30	review	review	NOUN
cana-6098	45	31	.	.	PUNCT
cana-6098	46	1	[	[	X
cana-6098	46	2	37	37	NUM
cana-6098	46	3	]	]	SYM
cana-6098	46	4	2	2	NUM
cana-6098	46	5	.	.	X
cana-6098	46	6	related	relate	VERB
cana-6098	46	7	work	work	NOUN
cana-6098	46	8	to	to	PART
cana-6098	46	9	detect	detect	VERB
cana-6098	46	10	acute	acute	ADJ
cana-6098	46	11	stress	stress	NOUN
cana-6098	46	12	,	,	PUNCT
cana-6098	46	13	zhang	zhang	PROPN
cana-6098	46	14	et	et	PROPN
cana-6098	46	15	al	al	PROPN
cana-6098	46	16	.	.	PUNCT
cana-6098	47	1	[	[	X
cana-6098	47	2	2	2	X
cana-6098	47	3	]	]	PUNCT
cana-6098	47	4	introduced	introduce	VERB
cana-6098	47	5	a	a	DET
cana-6098	47	6	deep	deep	ADJ
cana-6098	47	7	learning	learning	NOUN
cana-6098	47	8	framework	framework	NOUN
cana-6098	47	9	that	that	PRON
cana-6098	47	10	integrates	integrate	VERB
cana-6098	47	11	voice	voice	NOUN
cana-6098	47	12	,	,	PUNCT
cana-6098	47	13	facial	facial	ADJ
cana-6098	47	14	expressions	expression	NOUN
cana-6098	47	15	,	,	PUNCT
cana-6098	47	16	and	and	CCONJ
cana-6098	47	17	ecg	ecg	PROPN
cana-6098	47	18	data	datum	NOUN
cana-6098	47	19	in	in	ADP
cana-6098	47	20	real	real	ADJ
cana-6098	47	21	time	time	NOUN
cana-6098	47	22	.	.	PUNCT
cana-6098	48	1	building	build	VERB
cana-6098	48	2	on	on	ADP
cana-6098	48	3	this	this	PRON
cana-6098	48	4	,	,	PUNCT
cana-6098	48	5	we	we	PRON
cana-6098	48	6	developed	develop	VERB
cana-6098	48	7	a	a	DET
cana-6098	48	8	temporal	temporal	ADJ
cana-6098	48	9	attention	attention	NOUN
cana-6098	48	10	module	module	NOUN
cana-6098	48	11	(	(	PUNCT
cana-6098	48	12	tam	tam	PROPN
cana-6098	48	13	)	)	PUNCT
cana-6098	48	14	to	to	PART
cana-6098	48	15	pinpoint	pinpoint	VERB
cana-6098	48	16	keyframes	keyframe	NOUN
cana-6098	48	17	relevant	relevant	ADJ
cana-6098	48	18	to	to	PART
cana-6098	48	19	stress	stress	VERB
cana-6098	48	20	detection	detection	NOUN
cana-6098	48	21	from	from	ADP
cana-6098	48	22	facial	facial	ADJ
cana-6098	48	23	expressions	expression	NOUN
cana-6098	48	24	.	.	PUNCT
cana-6098	49	1	the	the	DET
cana-6098	49	2	proposed	propose	VERB
cana-6098	49	3	approach	approach	NOUN
cana-6098	49	4	requires	require	VERB
cana-6098	49	5	only	only	ADV
cana-6098	49	6	minimal	minimal	ADJ
cana-6098	49	7	preprocessing	preprocessing	NOUN
cana-6098	49	8	and	and	CCONJ
cana-6098	49	9	eliminates	eliminate	VERB
cana-6098	49	10	the	the	DET
cana-6098	49	11	need	need	NOUN
cana-6098	49	12	for	for	ADP
cana-6098	49	13	complex	complex	ADJ
cana-6098	49	14	feature	feature	NOUN
cana-6098	49	15	engineering	engineering	NOUN
cana-6098	49	16	.	.	PUNCT
cana-6098	50	1	our	our	PRON
cana-6098	50	2	contributions	contribution	NOUN
cana-6098	50	3	can	can	AUX
cana-6098	50	4	be	be	AUX
cana-6098	50	5	summarized	summarize	VERB
cana-6098	50	6	as	as	ADP
cana-6098	50	7	a	a	DET
cana-6098	50	8	deep	deep	ADJ
cana-6098	50	9	learning	learning	NOUN
cana-6098	50	10	system	system	NOUN
cana-6098	50	11	for	for	ADP
cana-6098	50	12	severe	severe	ADJ
cana-6098	50	13	stress	stress	NOUN
cana-6098	50	14	detection	detection	NOUN
cana-6098	50	15	that	that	PRON
cana-6098	50	16	combines	combine	VERB
cana-6098	50	17	voice	voice	NOUN
cana-6098	50	18	,	,	PUNCT
cana-6098	50	19	facial	facial	ADJ
cana-6098	50	20	,	,	PUNCT
cana-6098	50	21	and	and	CCONJ
cana-6098	50	22	ecg	ecg	PROPN
cana-6098	50	23	modalities	modality	NOUN
cana-6098	50	24	,	,	PUNCT
cana-6098	50	25	incorporates	incorporate	VERB
cana-6098	50	26	tam	tam	PROPN
cana-6098	50	27	,	,	PUNCT
cana-6098	50	28	and	and	CCONJ
cana-6098	50	29	employs	employ	VERB
cana-6098	50	30	a	a	DET
cana-6098	50	31	matrix	matrix	NOUN
cana-6098	50	32	eigenvector	eigenvector	NOUN
cana-6098	50	33	-	-	PUNCT
cana-6098	50	34	based	base	VERB
cana-6098	50	35	fusion	fusion	NOUN
cana-6098	50	36	strategy	strategy	NOUN
cana-6098	50	37	,	,	PUNCT
cana-6098	50	38	achieving	achieve	VERB
cana-6098	50	39	85.1	85.1	NUM
cana-6098	50	40	%	%	NOUN
cana-6098	50	41	detection	detection	NOUN
cana-6098	50	42	accuracy	accuracy	NOUN
cana-6098	50	43	.	.	PUNCT
cana-6098	51	1	by	by	ADP
cana-6098	51	2	assigning	assign	VERB
cana-6098	51	3	different	different	ADJ
cana-6098	51	4	learnable	learnable	ADJ
cana-6098	51	5	weights	weight	NOUN
cana-6098	51	6	to	to	ADP
cana-6098	51	7	individual	individual	ADJ
cana-6098	51	8	frames	frame	NOUN
cana-6098	51	9	,	,	PUNCT
cana-6098	51	10	the	the	DET
cana-6098	51	11	tam	tam	NOUN
cana-6098	51	12	captures	capture	VERB
cana-6098	51	13	distinctive	distinctive	ADJ
cana-6098	51	14	temporal	temporal	ADJ
cana-6098	51	15	patterns	pattern	NOUN
cana-6098	51	16	in	in	ADP
cana-6098	51	17	facial	facial	ADJ
cana-6098	51	18	expressions	expression	NOUN
cana-6098	51	19	associated	associate	VERB
cana-6098	51	20	with	with	ADP
cana-6098	51	21	stress	stress	NOUN
cana-6098	51	22	.	.	PUNCT
cana-6098	52	1	baheti	baheti	PROPN
cana-6098	52	2	reshma	reshma	PROPN
cana-6098	52	3	radheshamjee	radheshamjee	PROPN
cana-6098	52	4	and	and	CCONJ
cana-6098	52	5	kinariwala	kinariwala	PROPN
cana-6098	52	6	supriya	supriya	PROPN
cana-6098	53	1	[	[	X
cana-6098	53	2	13	13	NUM
cana-6098	53	3	]	]	PUNCT
cana-6098	53	4	proposed	propose	VERB
cana-6098	53	5	a	a	DET
cana-6098	53	6	system	system	NOUN
cana-6098	53	7	that	that	PRON
cana-6098	53	8	identifies	identify	VERB
cana-6098	53	9	stress	stress	NOUN
cana-6098	53	10	through	through	ADP
cana-6098	53	11	in	in	ADP
cana-6098	53	12	-	-	PUNCT
cana-6098	53	13	person	person	NOUN
cana-6098	53	14	interviews	interview	NOUN
cana-6098	53	15	,	,	PUNCT
cana-6098	53	16	discussions	discussion	NOUN
cana-6098	53	17	,	,	PUNCT
cana-6098	53	18	or	or	CCONJ
cana-6098	53	19	similar	similar	ADJ
cana-6098	53	20	activities	activity	NOUN
cana-6098	53	21	,	,	PUNCT
cana-6098	53	22	typically	typically	ADV
cana-6098	53	23	involving	involve	VERB
cana-6098	53	24	analysis	analysis	NOUN
cana-6098	53	25	of	of	ADP
cana-6098	53	26	two	two	NUM
cana-6098	53	27	or	or	CCONJ
cana-6098	53	28	more	more	ADJ
cana-6098	53	29	individuals	individual	NOUN
cana-6098	53	30	by	by	ADP
cana-6098	53	31	an	an	DET
cana-6098	53	32	external	external	ADJ
cana-6098	53	33	evaluator	evaluator	NOUN
cana-6098	53	34	.	.	PUNCT
cana-6098	54	1	another	another	DET
cana-6098	54	2	framework	framework	NOUN
cana-6098	54	3	was	be	AUX
cana-6098	54	4	introduced	introduce	VERB
cana-6098	54	5	that	that	SCONJ
cana-6098	54	6	leverages	leverage	VERB
cana-6098	54	7	users	user	NOUN
cana-6098	54	8	’	’	PART
cana-6098	54	9	weekly	weekly	ADJ
cana-6098	54	10	social	social	ADJ
cana-6098	54	11	media	medium	NOUN
cana-6098	54	12	activity	activity	NOUN
cana-6098	54	13	,	,	PUNCT
cana-6098	54	14	focusing	focus	VERB
cana-6098	54	15	on	on	ADP
cana-6098	54	16	social	social	ADJ
cana-6098	54	17	interactions	interaction	NOUN
cana-6098	54	18	and	and	CCONJ
cana-6098	54	19	tweet	tweet	NOUN
cana-6098	54	20	content	content	NOUN
cana-6098	54	21	to	to	PART
cana-6098	54	22	assess	assess	VERB
cana-6098	54	23	psychological	psychological	ADJ
cana-6098	54	24	stress	stress	NOUN
cana-6098	54	25	levels	level	NOUN
cana-6098	54	26	.	.	PUNCT
cana-6098	55	1	in	in	ADP
cana-6098	55	2	this	this	DET
cana-6098	55	3	approach	approach	NOUN
cana-6098	55	4	,	,	PUNCT
cana-6098	55	5	each	each	DET
cana-6098	55	6	dictionary	dictionary	ADJ
cana-6098	55	7	term	term	NOUN
cana-6098	55	8	is	be	AUX
cana-6098	55	9	assigned	assign	VERB
cana-6098	55	10	a	a	DET
cana-6098	55	11	score	score	NOUN
cana-6098	55	12	ranging	range	VERB
cana-6098	55	13	from	from	ADP
cana-6098	55	14	–	–	PUNCT
cana-6098	55	15	5	5	NUM
cana-6098	55	16	to	to	ADP
cana-6098	55	17	+5	+5	PROPN
cana-6098	55	18	.	.	PUNCT
cana-6098	56	1	both	both	DET
cana-6098	56	2	naïve	naïve	ADJ
cana-6098	56	3	bayes	bayes	NOUN
cana-6098	56	4	(	(	PUNCT
cana-6098	56	5	nb	nb	NOUN
cana-6098	56	6	)	)	PUNCT
cana-6098	56	7	and	and	CCONJ
cana-6098	56	8	support	support	VERB
cana-6098	56	9	vector	vector	NOUN
cana-6098	56	10	machine	machine	NOUN
cana-6098	56	11	(	(	PUNCT
cana-6098	56	12	svm	svm	ADJ
cana-6098	56	13	)	)	PUNCT
cana-6098	56	14	algorithms	algorithm	NOUN
cana-6098	56	15	were	be	AUX
cana-6098	56	16	applied	apply	VERB
cana-6098	56	17	for	for	ADP
cana-6098	56	18	classification	classification	NOUN
cana-6098	56	19	and	and	CCONJ
cana-6098	56	20	prediction	prediction	NOUN
cana-6098	56	21	.	.	PUNCT
cana-6098	57	1	to	to	PART
cana-6098	57	2	enhance	enhance	VERB
cana-6098	57	3	accuracy	accuracy	NOUN
cana-6098	57	4	,	,	PUNCT
cana-6098	57	5	word	word	NOUN
cana-6098	57	6	sense	sense	NOUN
cana-6098	57	7	disambiguation	disambiguation	NOUN
cana-6098	57	8	(	(	PUNCT
cana-6098	57	9	wsd	wsd	PROPN
cana-6098	57	10	)	)	PUNCT
cana-6098	57	11	was	be	AUX
cana-6098	57	12	employed	employ	VERB
cana-6098	57	13	using	use	VERB
cana-6098	57	14	n	n	CCONJ
cana-6098	57	15	-	-	PUNCT
cana-6098	57	16	gram	gram	NOUN
cana-6098	57	17	and	and	CCONJ
cana-6098	57	18	skip	skip	ADJ
cana-6098	57	19	-	-	PUNCT
cana-6098	57	20	gram	gram	NOUN
cana-6098	57	21	models	model	NOUN
cana-6098	57	22	.	.	PUNCT
cana-6098	58	1	when	when	SCONJ
cana-6098	58	2	combined	combine	VERB
cana-6098	58	3	with	with	ADP
cana-6098	58	4	svm	svm	PROPN
cana-6098	58	5	,	,	PUNCT
cana-6098	58	6	the	the	DET
cana-6098	58	7	use	use	NOUN
cana-6098	58	8	of	of	ADP
cana-6098	58	9	n	n	NOUN
cana-6098	58	10	-	-	PUNCT
cana-6098	58	11	gram	gram	NOUN
cana-6098	58	12	and	and	CCONJ
cana-6098	58	13	wsd	wsd	PROPN
cana-6098	58	14	achieved	achieve	VERB
cana-6098	58	15	a	a	DET
cana-6098	58	16	precision	precision	NOUN
cana-6098	58	17	of	of	ADP
cana-6098	58	18	65	65	NUM
cana-6098	58	19	%	%	NOUN
cana-6098	58	20	.	.	PUNCT
cana-6098	59	1	communications	communication	NOUN
cana-6098	59	2	on	on	ADP
cana-6098	59	3	applied	apply	VERB
cana-6098	59	4	nonlinear	nonlinear	ADJ
cana-6098	59	5	analysis	analysis	NOUN
cana-6098	59	6	issn	issn	NOUN
cana-6098	59	7	:	:	PUNCT
cana-6098	59	8	1074	1074	NUM
cana-6098	59	9	-	-	PUNCT
cana-6098	59	10	133x	133x	NUM
cana-6098	59	11	vol	vol	VERB
cana-6098	59	12	32	32	NUM
cana-6098	59	13	no	no	NOUN
cana-6098	59	14	.	.	PUNCT
cana-6098	60	1	10s	10	NOUN
cana-6098	60	2	(	(	PUNCT
cana-6098	60	3	2025	2025	NUM
cana-6098	60	4	)	)	PUNCT
cana-6098	60	5	3336	3336	NUM
cana-6098	61	1	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-6098	61	2	m	m	PROPN
cana-6098	61	3	stress	stress	NOUN
cana-6098	61	4	among	among	ADP
cana-6098	61	5	office	office	NOUN
cana-6098	61	6	workers	worker	NOUN
cana-6098	61	7	is	be	AUX
cana-6098	61	8	increasing	increase	VERB
cana-6098	61	9	due	due	ADP
cana-6098	61	10	to	to	ADP
cana-6098	61	11	heavy	heavy	ADJ
cana-6098	61	12	workloads	workload	NOUN
cana-6098	61	13	and	and	CCONJ
cana-6098	61	14	job	job	NOUN
cana-6098	61	15	-	-	PUNCT
cana-6098	61	16	related	relate	VERB
cana-6098	61	17	pressures	pressure	NOUN
cana-6098	61	18	.	.	PUNCT
cana-6098	62	1	to	to	PART
cana-6098	62	2	mitigate	mitigate	VERB
cana-6098	62	3	negative	negative	ADJ
cana-6098	62	4	effects	effect	NOUN
cana-6098	62	5	on	on	ADP
cana-6098	62	6	well	well	ADV
cana-6098	62	7	-	-	PUNCT
cana-6098	62	8	being	being	NOUN
cana-6098	62	9	,	,	PUNCT
cana-6098	62	10	it	it	PRON
cana-6098	62	11	is	be	AUX
cana-6098	62	12	crucial	crucial	ADJ
cana-6098	62	13	to	to	PART
cana-6098	62	14	monitor	monitor	VERB
cana-6098	62	15	and	and	CCONJ
cana-6098	62	16	manage	manage	VERB
cana-6098	62	17	employees	employee	NOUN
cana-6098	62	18	’	’	PART
cana-6098	62	19	stress	stress	NOUN
cana-6098	62	20	levels	level	NOUN
cana-6098	62	21	regularly	regularly	ADV
cana-6098	62	22	,	,	PUNCT
cana-6098	62	23	enabling	enable	VERB
cana-6098	62	24	early	early	ADJ
cana-6098	62	25	detection	detection	NOUN
cana-6098	62	26	.	.	PUNCT
cana-6098	63	1	a	a	DET
cana-6098	63	2	review	review	NOUN
cana-6098	63	3	of	of	ADP
cana-6098	63	4	the	the	DET
cana-6098	63	5	literature	literature	NOUN
cana-6098	63	6	on	on	ADP
cana-6098	63	7	workplace	workplace	NOUN
cana-6098	63	8	stress	stress	NOUN
cana-6098	63	9	identification	identification	NOUN
cana-6098	63	10	through	through	ADP
cana-6098	63	11	multimodal	multimodal	ADJ
cana-6098	63	12	measurements	measurement	NOUN
cana-6098	63	13	[	[	X
cana-6098	63	14	24	24	NUM
cana-6098	63	15	]	]	PUNCT
cana-6098	63	16	highlighted	highlight	VERB
cana-6098	63	17	key	key	ADJ
cana-6098	63	18	features	feature	NOUN
cana-6098	63	19	and	and	CCONJ
cana-6098	63	20	parameters	parameter	NOUN
cana-6098	63	21	across	across	ADP
cana-6098	63	22	physical	physical	ADJ
cana-6098	63	23	,	,	PUNCT
cana-6098	63	24	social	social	ADJ
cana-6098	63	25	,	,	PUNCT
cana-6098	63	26	and	and	CCONJ
cana-6098	63	27	related	related	ADJ
cana-6098	63	28	data	datum	NOUN
cana-6098	63	29	.	.	PUNCT
cana-6098	64	1	in	in	ADP
cana-6098	64	2	[	[	X
cana-6098	64	3	3	3	NUM
cana-6098	64	4	]	]	PUNCT
cana-6098	64	5	,	,	PUNCT
cana-6098	64	6	the	the	DET
cana-6098	64	7	study	study	NOUN
cana-6098	64	8	utilizes	utilize	VERB
cana-6098	64	9	both	both	CCONJ
cana-6098	64	10	primary	primary	ADJ
cana-6098	64	11	and	and	CCONJ
cana-6098	64	12	secondary	secondary	ADJ
cana-6098	64	13	datasets	dataset	NOUN
cana-6098	64	14	to	to	PART
cana-6098	64	15	investigate	investigate	VERB
cana-6098	64	16	the	the	DET
cana-6098	64	17	impact	impact	NOUN
cana-6098	64	18	of	of	ADP
cana-6098	64	19	social	social	ADJ
cana-6098	64	20	and	and	CCONJ
cana-6098	64	21	emotional	emotional	ADJ
cana-6098	64	22	factors	factor	NOUN
cana-6098	64	23	on	on	ADP
cana-6098	64	24	social	social	ADJ
cana-6098	64	25	media	medium	NOUN
cana-6098	64	26	data	datum	NOUN
cana-6098	64	27	and	and	CCONJ
cana-6098	64	28	usage	usage	NOUN
cana-6098	64	29	.	.	PUNCT
cana-6098	65	1	adopting	adopt	VERB
cana-6098	65	2	a	a	DET
cana-6098	65	3	cross	cross	ADJ
cana-6098	65	4	-	-	ADJ
cana-6098	65	5	sectional	sectional	ADJ
cana-6098	65	6	approach	approach	NOUN
cana-6098	65	7	and	and	CCONJ
cana-6098	65	8	combining	combine	VERB
cana-6098	65	9	qualitative	qualitative	NOUN
cana-6098	65	10	with	with	ADP
cana-6098	65	11	quantitative	quantitative	ADJ
cana-6098	65	12	methods	method	NOUN
cana-6098	65	13	,	,	PUNCT
cana-6098	65	14	the	the	DET
cana-6098	65	15	research	research	NOUN
cana-6098	65	16	focuses	focus	VERB
cana-6098	65	17	on	on	ADP
cana-6098	65	18	building	building	NOUN
cana-6098	65	19	models	model	NOUN
cana-6098	65	20	for	for	ADP
cana-6098	65	21	sentiment	sentiment	NOUN
cana-6098	65	22	and	and	CCONJ
cana-6098	65	23	emotion	emotion	NOUN
cana-6098	65	24	detection	detection	NOUN
cana-6098	65	25	that	that	PRON
cana-6098	65	26	can	can	AUX
cana-6098	65	27	support	support	VERB
cana-6098	65	28	stress	stress	NOUN
cana-6098	65	29	management	management	NOUN
cana-6098	65	30	.	.	PUNCT
cana-6098	66	1	these	these	DET
cana-6098	66	2	models	model	NOUN
cana-6098	66	3	are	be	AUX
cana-6098	66	4	further	far	ADV
cana-6098	66	5	evaluated	evaluate	VERB
cana-6098	66	6	using	use	VERB
cana-6098	66	7	original	original	ADJ
cana-6098	66	8	data	datum	NOUN
cana-6098	66	9	.	.	PUNCT
cana-6098	67	1	to	to	PART
cana-6098	67	2	analyze	analyze	VERB
cana-6098	67	3	user	user	NOUN
cana-6098	67	4	sentiments	sentiment	NOUN
cana-6098	67	5	and	and	CCONJ
cana-6098	67	6	emotions	emotion	NOUN
cana-6098	67	7	across	across	ADP
cana-6098	67	8	various	various	ADJ
cana-6098	67	9	themes	theme	NOUN
cana-6098	67	10	,	,	PUNCT
cana-6098	67	11	latent	latent	ADJ
cana-6098	67	12	dirichlet	dirichlet	PROPN
cana-6098	67	13	allocation	allocation	NOUN
cana-6098	67	14	(	(	PUNCT
cana-6098	67	15	lda	lda	PROPN
cana-6098	67	16	)	)	PUNCT
cana-6098	67	17	is	be	AUX
cana-6098	67	18	applied	apply	VERB
cana-6098	67	19	.	.	PUNCT
cana-6098	68	1	additionally	additionally	ADV
cana-6098	68	2	,	,	PUNCT
cana-6098	68	3	sentiment	sentiment	NOUN
cana-6098	68	4	analysis	analysis	NOUN
cana-6098	68	5	is	be	AUX
cana-6098	68	6	conducted	conduct	VERB
cana-6098	68	7	through	through	ADP
cana-6098	68	8	hybrid	hybrid	ADJ
cana-6098	68	9	machine	machine	NOUN
cana-6098	68	10	learning	learning	NOUN
cana-6098	68	11	and	and	CCONJ
cana-6098	68	12	deep	deep	ADJ
cana-6098	68	13	learning	learning	NOUN
cana-6098	68	14	models	model	NOUN
cana-6098	68	15	trained	train	VERB
cana-6098	68	16	on	on	ADP
cana-6098	68	17	a	a	DET
cana-6098	68	18	diverse	diverse	ADJ
cana-6098	68	19	collection	collection	NOUN
cana-6098	68	20	of	of	ADP
cana-6098	68	21	tweets	tweet	NOUN
cana-6098	68	22	.	.	PUNCT
cana-6098	69	1	a	a	DET
cana-6098	69	2	recently	recently	ADV
cana-6098	69	3	developed	develop	VERB
cana-6098	69	4	technique	technique	NOUN
cana-6098	69	5	estimates	estimate	VERB
cana-6098	69	6	the	the	DET
cana-6098	69	7	effective	effective	ADJ
cana-6098	69	8	integration	integration	NOUN
cana-6098	69	9	window	window	NOUN
cana-6098	69	10	of	of	ADP
cana-6098	69	11	an	an	DET
cana-6098	69	12	arbitrary	arbitrary	ADJ
cana-6098	69	13	response	response	NOUN
cana-6098	69	14	by	by	ADP
cana-6098	69	15	presenting	present	VERB
cana-6098	69	16	segments	segment	NOUN
cana-6098	69	17	of	of	ADP
cana-6098	69	18	natural	natural	ADJ
cana-6098	69	19	stimuli	stimulus	NOUN
cana-6098	69	20	—	—	PUNCT
cana-6098	69	21	such	such	ADJ
cana-6098	69	22	as	as	ADP
cana-6098	69	23	speech	speech	NOUN
cana-6098	69	24	—	—	PUNCT
cana-6098	69	25	in	in	ADP
cana-6098	69	26	two	two	NUM
cana-6098	69	27	distinct	distinct	ADJ
cana-6098	69	28	random	random	ADJ
cana-6098	69	29	sequences	sequence	NOUN
cana-6098	69	30	,	,	PUNCT
cana-6098	69	31	ensuring	ensure	VERB
cana-6098	69	32	each	each	DET
cana-6098	69	33	segment	segment	NOUN
cana-6098	69	34	appears	appear	VERB
cana-6098	69	35	within	within	ADP
cana-6098	69	36	different	different	ADJ
cana-6098	69	37	contexts	contexts	NOUN
cana-6098	69	38	,	,	PUNCT
cana-6098	69	39	surrounded	surround	VERB
cana-6098	69	40	by	by	ADP
cana-6098	69	41	varying	vary	VERB
cana-6098	69	42	stimuli	stimulus	NOUN
cana-6098	69	43	[	[	X
cana-6098	69	44	36	36	NUM
cana-6098	69	45	]	]	PUNCT
cana-6098	69	46	.	.	PUNCT
cana-6098	70	1	in	in	ADP
cana-6098	70	2	another	another	DET
cana-6098	70	3	study	study	NOUN
cana-6098	70	4	,	,	PUNCT
cana-6098	70	5	[	[	X
cana-6098	70	6	37	37	NUM
cana-6098	70	7	]	]	PUNCT
cana-6098	70	8	proposed	propose	VERB
cana-6098	70	9	a	a	DET
cana-6098	70	10	system	system	NOUN
cana-6098	70	11	for	for	ADP
cana-6098	70	12	categorizing	categorize	VERB
cana-6098	70	13	song	song	NOUN
cana-6098	70	14	tones	tone	NOUN
cana-6098	70	15	into	into	ADP
cana-6098	70	16	appropriate	appropriate	ADJ
cana-6098	70	17	classes	class	NOUN
cana-6098	70	18	using	use	VERB
cana-6098	70	19	a	a	DET
cana-6098	70	20	supervised	supervised	ADJ
cana-6098	70	21	learning	learning	NOUN
cana-6098	70	22	approach	approach	NOUN
cana-6098	70	23	to	to	PART
cana-6098	70	24	analyze	analyze	VERB
cana-6098	70	25	the	the	DET
cana-6098	70	26	tones	tone	NOUN
cana-6098	70	27	of	of	ADP
cana-6098	70	28	specific	specific	ADJ
cana-6098	70	29	lyrics	lyric	NOUN
cana-6098	70	30	.	.	PUNCT
cana-6098	71	1	the	the	DET
cana-6098	71	2	methodology	methodology	NOUN
cana-6098	71	3	is	be	AUX
cana-6098	71	4	divided	divide	VERB
cana-6098	71	5	into	into	ADP
cana-6098	71	6	four	four	NUM
cana-6098	71	7	stages	stage	NOUN
cana-6098	71	8	:	:	PUNCT
cana-6098	71	9	data	data	NOUN
cana-6098	71	10	collection	collection	NOUN
cana-6098	71	11	,	,	PUNCT
cana-6098	71	12	data	datum	NOUN
cana-6098	71	13	processing	processing	NOUN
cana-6098	71	14	,	,	PUNCT
cana-6098	71	15	tone	tone	NOUN
cana-6098	71	16	class	class	NOUN
cana-6098	71	17	extraction	extraction	NOUN
cana-6098	71	18	with	with	ADP
cana-6098	71	19	ibm	ibm	PROPN
cana-6098	71	20	watson	watson	PROPN
cana-6098	71	21	tone	tone	NOUN
cana-6098	71	22	analyzer	analyzer	NOUN
cana-6098	71	23	,	,	PUNCT
cana-6098	71	24	and	and	CCONJ
cana-6098	71	25	classifier	classifier	NOUN
cana-6098	71	26	-	-	PUNCT
cana-6098	71	27	based	base	VERB
cana-6098	71	28	tone	tone	NOUN
cana-6098	71	29	classification	classification	NOUN
cana-6098	71	30	.	.	PUNCT
cana-6098	72	1	marian	marian	PROPN
cana-6098	72	2	pompiliu	pompiliu	PROPN
cana-6098	72	3	cristescu	cristescu	PROPN
cana-6098	72	4	et.al	et.al	PROPN
cana-6098	73	1	[	[	X
cana-6098	73	2	38	38	NUM
cana-6098	73	3	]	]	PUNCT
cana-6098	73	4	developed	develop	VERB
cana-6098	73	5	a	a	DET
cana-6098	73	6	python	python	NOUN
cana-6098	73	7	-	-	PUNCT
cana-6098	73	8	based	base	VERB
cana-6098	73	9	approach	approach	NOUN
cana-6098	73	10	utilizing	utilize	VERB
cana-6098	73	11	the	the	DET
cana-6098	73	12	bert	bert	PROPN
cana-6098	73	13	and	and	CCONJ
cana-6098	73	14	vader	vader	NOUN
cana-6098	73	15	libraries	library	NOUN
cana-6098	73	16	to	to	PART
cana-6098	73	17	process	process	VERB
cana-6098	73	18	and	and	CCONJ
cana-6098	73	19	evaluate	evaluate	VERB
cana-6098	73	20	textual	textual	ADJ
cana-6098	73	21	data	datum	NOUN
cana-6098	73	22	.	.	PUNCT
cana-6098	74	1	their	their	PRON
cana-6098	74	2	study	study	NOUN
cana-6098	74	3	identifies	identify	VERB
cana-6098	74	4	notable	notable	ADJ
cana-6098	74	5	differences	difference	NOUN
cana-6098	74	6	in	in	ADP
cana-6098	74	7	sentiment	sentiment	NOUN
cana-6098	74	8	polarity	polarity	NOUN
cana-6098	74	9	outcomes	outcome	NOUN
cana-6098	74	10	between	between	ADP
cana-6098	74	11	these	these	DET
cana-6098	74	12	tools	tool	NOUN
cana-6098	74	13	,	,	PUNCT
cana-6098	74	14	with	with	ADP
cana-6098	74	15	bert	bert	NOUN
cana-6098	74	16	exhibiting	exhibit	VERB
cana-6098	74	17	a	a	DET
cana-6098	74	18	tendency	tendency	NOUN
cana-6098	74	19	toward	toward	ADP
cana-6098	74	20	positivity	positivity	NOUN
cana-6098	74	21	and	and	CCONJ
cana-6098	74	22	vader	vader	NOUN
cana-6098	74	23	producing	produce	VERB
cana-6098	74	24	a	a	DET
cana-6098	74	25	more	more	ADV
cana-6098	74	26	balanced	balanced	ADJ
cana-6098	74	27	sentiment	sentiment	NOUN
cana-6098	74	28	distribution	distribution	NOUN
cana-6098	74	29	.	.	PUNCT
cana-6098	75	1	these	these	DET
cana-6098	75	2	results	result	NOUN
cana-6098	75	3	underscore	underscore	VERB
cana-6098	75	4	the	the	DET
cana-6098	75	5	need	need	NOUN
cana-6098	75	6	to	to	PART
cana-6098	75	7	carefully	carefully	ADV
cana-6098	75	8	choose	choose	VERB
cana-6098	75	9	sentiment	sentiment	NOUN
cana-6098	75	10	analysis	analysis	NOUN
cana-6098	75	11	tools	tool	NOUN
cana-6098	75	12	based	base	VERB
cana-6098	75	13	on	on	ADP
cana-6098	75	14	the	the	DET
cana-6098	75	15	characteristics	characteristic	NOUN
cana-6098	75	16	of	of	ADP
cana-6098	75	17	the	the	DET
cana-6098	75	18	text	text	NOUN
cana-6098	75	19	under	under	ADP
cana-6098	75	20	examination	examination	NOUN
cana-6098	75	21	.	.	PUNCT
cana-6098	76	1	ultimately	ultimately	ADV
cana-6098	76	2	,	,	PUNCT
cana-6098	76	3	their	their	PRON
cana-6098	76	4	research	research	NOUN
cana-6098	76	5	demonstrates	demonstrate	VERB
cana-6098	76	6	both	both	CCONJ
cana-6098	76	7	the	the	DET
cana-6098	76	8	effectiveness	effectiveness	NOUN
cana-6098	76	9	and	and	CCONJ
cana-6098	76	10	significance	significance	NOUN
cana-6098	76	11	of	of	ADP
cana-6098	76	12	open	open	ADJ
cana-6098	76	13	-	-	PUNCT
cana-6098	76	14	source	source	NOUN
cana-6098	76	15	tools	tool	NOUN
cana-6098	76	16	in	in	ADP
cana-6098	76	17	sentiment	sentiment	NOUN
cana-6098	76	18	analysis	analysis	NOUN
cana-6098	76	19	,	,	PUNCT
cana-6098	76	20	especially	especially	ADV
cana-6098	76	21	for	for	ADP
cana-6098	76	22	improving	improve	VERB
cana-6098	76	23	continuous	continuous	ADJ
cana-6098	76	24	feedback	feedback	NOUN
cana-6098	76	25	systems	system	NOUN
cana-6098	76	26	in	in	ADP
cana-6098	76	27	organizational	organizational	ADJ
cana-6098	76	28	settings	setting	NOUN
cana-6098	76	29	.	.	PUNCT
cana-6098	77	1	3.methodology	3.methodology	NUM
cana-6098	77	2	the	the	DET
cana-6098	77	3	proposed	propose	VERB
cana-6098	77	4	system	system	NOUN
cana-6098	77	5	for	for	ADP
cana-6098	77	6	detecting	detect	VERB
cana-6098	77	7	employee	employee	NOUN
cana-6098	77	8	emotional	emotional	ADJ
cana-6098	77	9	states	state	NOUN
cana-6098	77	10	employs	employ	VERB
cana-6098	77	11	a	a	DET
cana-6098	77	12	multimodal	multimodal	ADJ
cana-6098	77	13	deep	deep	ADJ
cana-6098	77	14	learning	learning	NOUN
cana-6098	77	15	framework	framework	NOUN
cana-6098	77	16	that	that	PRON
cana-6098	77	17	analyzes	analyze	VERB
cana-6098	77	18	video	video	NOUN
cana-6098	77	19	and	and	CCONJ
cana-6098	77	20	audio	audio	NOUN
cana-6098	77	21	data	datum	NOUN
cana-6098	77	22	from	from	ADP
cana-6098	77	23	video	video	NOUN
cana-6098	77	24	conferences	conference	NOUN
cana-6098	77	25	.	.	PUNCT
cana-6098	78	1	its	its	PRON
cana-6098	78	2	methodology	methodology	NOUN
cana-6098	78	3	includes	include	VERB
cana-6098	78	4	sequential	sequential	ADJ
cana-6098	78	5	stages	stage	NOUN
cana-6098	78	6	of	of	ADP
cana-6098	78	7	data	data	NOUN
cana-6098	78	8	acquisition	acquisition	NOUN
cana-6098	78	9	,	,	PUNCT
cana-6098	78	10	preprocessing	preprocessing	NOUN
cana-6098	78	11	,	,	PUNCT
cana-6098	78	12	feature	feature	NOUN
cana-6098	78	13	extraction	extraction	NOUN
cana-6098	78	14	,	,	PUNCT
cana-6098	78	15	and	and	CCONJ
cana-6098	78	16	classification	classification	NOUN
cana-6098	78	17	,	,	PUNCT
cana-6098	78	18	applied	apply	VERB
cana-6098	78	19	to	to	ADP
cana-6098	78	20	facial	facial	ADJ
cana-6098	78	21	expressions	expression	NOUN
cana-6098	78	22	,	,	PUNCT
cana-6098	78	23	speech	speech	NOUN
cana-6098	78	24	transcription	transcription	NOUN
cana-6098	78	25	,	,	PUNCT
cana-6098	78	26	and	and	CCONJ
cana-6098	78	27	text	text	NOUN
cana-6098	78	28	-	-	PUNCT
cana-6098	78	29	based	base	VERB
cana-6098	78	30	sentiment	sentiment	NOUN
cana-6098	78	31	.	.	PUNCT
cana-6098	79	1	3.1	3.1	NUM
cana-6098	79	2	system	system	NOUN
cana-6098	79	3	architecture	architecture	NOUN
cana-6098	79	4	overview	overview	VERB
cana-6098	79	5	the	the	DET
cana-6098	79	6	system	system	NOUN
cana-6098	79	7	’s	’s	PART
cana-6098	79	8	core	core	NOUN
cana-6098	79	9	design	design	NOUN
cana-6098	79	10	involves	involve	VERB
cana-6098	79	11	three	three	NUM
cana-6098	79	12	primary	primary	ADJ
cana-6098	79	13	analytical	analytical	ADJ
cana-6098	79	14	streams	stream	NOUN
cana-6098	79	15	:	:	PUNCT
cana-6098	79	16	1	1	X
cana-6098	79	17	.	.	X
cana-6098	79	18	facial	facial	ADJ
cana-6098	79	19	emotion	emotion	NOUN
cana-6098	79	20	recognition	recognition	NOUN
cana-6098	79	21	:	:	PUNCT
cana-6098	79	22	directly	directly	ADV
cana-6098	79	23	from	from	ADP
cana-6098	79	24	video	video	NOUN
cana-6098	79	25	frames	frame	NOUN
cana-6098	79	26	and	and	CCONJ
cana-6098	79	27	from	from	ADP
cana-6098	79	28	fer	fer	PROPN
cana-6098	79	29	+	+	CCONJ
cana-6098	79	30	datasets	dataset	NOUN
cana-6098	79	31	2	2	NUM
cana-6098	79	32	.	.	NOUN
cana-6098	79	33	speech	speech	NOUN
cana-6098	79	34	transcription	transcription	NOUN
cana-6098	79	35	whisper	whisper	NOUN
cana-6098	79	36	model	model	NOUN
cana-6098	79	37	:	:	PUNCT
cana-6098	79	38	from	from	ADP
cana-6098	79	39	the	the	DET
cana-6098	79	40	audio	audio	ADJ
cana-6098	79	41	track	track	NOUN
cana-6098	79	42	of	of	ADP
cana-6098	79	43	the	the	DET
cana-6098	79	44	video	video	NOUN
cana-6098	79	45	.	.	PUNCT
cana-6098	80	1	3	3	X
cana-6098	80	2	.	.	X
cana-6098	80	3	text	text	NOUN
cana-6098	80	4	sentiment	sentiment	NOUN
cana-6098	80	5	analysis	analysis	NOUN
cana-6098	80	6	:	:	PUNCT
cana-6098	80	7	applied	apply	VERB
cana-6098	80	8	to	to	ADP
cana-6098	80	9	the	the	DET
cana-6098	80	10	transcribed	transcribe	VERB
cana-6098	80	11	speech	speech	NOUN
cana-6098	80	12	.	.	PUNCT
cana-6098	81	1	communications	communication	NOUN
cana-6098	81	2	on	on	ADP
cana-6098	81	3	applied	apply	VERB
cana-6098	81	4	nonlinear	nonlinear	ADJ
cana-6098	81	5	analysis	analysis	NOUN
cana-6098	81	6	issn	issn	NOUN
cana-6098	81	7	:	:	PUNCT
cana-6098	81	8	1074	1074	NUM
cana-6098	81	9	-	-	PUNCT
cana-6098	81	10	133x	133x	NUM
cana-6098	81	11	vol	vol	VERB
cana-6098	81	12	32	32	NUM
cana-6098	81	13	no	no	NOUN
cana-6098	81	14	.	.	PUNCT
cana-6098	82	1	10s	10	NOUN
cana-6098	82	2	(	(	PUNCT
cana-6098	82	3	2025	2025	NUM
cana-6098	82	4	)	)	PUNCT
cana-6098	82	5	3337	3337	NUM
cana-6098	82	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-6098	82	7	m	m	NOUN
cana-6098	82	8	3.2	3.2	NUM
cana-6098	82	9	data	datum	NOUN
cana-6098	82	10	acquisition	acquisition	NOUN
cana-6098	82	11	and	and	CCONJ
cana-6098	82	12	preprocessing	preprocesse	VERB
cana-6098	82	13	3.2.1	3.2.1	NUM
cana-6098	82	14	facial	facial	ADJ
cana-6098	82	15	expressions	expression	NOUN
cana-6098	82	16	preprocessing	preprocesse	VERB
cana-6098	82	17	video	video	NOUN
cana-6098	82	18	frames	frame	NOUN
cana-6098	82	19	are	be	AUX
cana-6098	82	20	extracted	extract	VERB
cana-6098	82	21	and	and	CCONJ
cana-6098	82	22	converted	convert	VERB
cana-6098	82	23	to	to	ADP
cana-6098	82	24	rgb	rgb	PROPN
cana-6098	82	25	(	(	PUNCT
cana-6098	82	26	or	or	CCONJ
cana-6098	82	27	bgr	bgr	PROPN
cana-6098	82	28	,	,	PUNCT
cana-6098	82	29	depending	depend	VERB
cana-6098	82	30	on	on	ADP
cana-6098	82	31	the	the	DET
cana-6098	82	32	library	library	NOUN
cana-6098	82	33	)	)	PUNCT
cana-6098	82	34	to	to	PART
cana-6098	82	35	ensure	ensure	VERB
cana-6098	82	36	compatibility	compatibility	NOUN
cana-6098	82	37	with	with	ADP
cana-6098	82	38	emotion	emotion	NOUN
cana-6098	82	39	detection	detection	NOUN
cana-6098	82	40	models	model	NOUN
cana-6098	82	41	.	.	PUNCT
cana-6098	83	1	for	for	ADP
cana-6098	83	2	face	face	NOUN
cana-6098	83	3	detection	detection	NOUN
cana-6098	83	4	and	and	CCONJ
cana-6098	83	5	alignment	alignment	NOUN
cana-6098	83	6	,	,	PUNCT
cana-6098	83	7	the	the	DET
cana-6098	83	8	facial	facial	ADJ
cana-6098	83	9	emotion	emotion	NOUN
cana-6098	83	10	recognition	recognition	NOUN
cana-6098	83	11	(	(	PUNCT
cana-6098	83	12	fer	fer	PROPN
cana-6098	83	13	)	)	PUNCT
cana-6098	83	14	library	library	NOUN
cana-6098	83	15	is	be	AUX
cana-6098	83	16	initialized	initialize	VERB
cana-6098	83	17	with	with	ADP
cana-6098	83	18	mtcnn	mtcnn	NOUN
cana-6098	83	19	=	=	NOUN
cana-6098	83	20	true	true	ADJ
cana-6098	83	21	,	,	PUNCT
cana-6098	83	22	enabling	enable	VERB
cana-6098	83	23	the	the	DET
cana-6098	83	24	use	use	NOUN
cana-6098	83	25	of	of	ADP
cana-6098	83	26	multitask	multitask	ADJ
cana-6098	83	27	cascaded	cascade	VERB
cana-6098	83	28	convolutional	convolutional	ADJ
cana-6098	83	29	networks	network	NOUN
cana-6098	83	30	(	(	PUNCT
cana-6098	83	31	mtcnn	mtcnn	PROPN
cana-6098	83	32	)	)	PUNCT
cana-6098	83	33	.	.	PUNCT
cana-6098	84	1	this	this	DET
cana-6098	84	2	approach	approach	NOUN
cana-6098	84	3	isolates	isolate	VERB
cana-6098	84	4	facial	facial	ADJ
cana-6098	84	5	regions	region	NOUN
cana-6098	84	6	by	by	ADP
cana-6098	84	7	removing	remove	VERB
cana-6098	84	8	background	background	NOUN
cana-6098	84	9	information	information	NOUN
cana-6098	84	10	,	,	PUNCT
cana-6098	84	11	thereby	thereby	ADV
cana-6098	84	12	reducing	reduce	VERB
cana-6098	84	13	noise	noise	NOUN
cana-6098	84	14	and	and	CCONJ
cana-6098	84	15	visual	visual	ADJ
cana-6098	84	16	clutter	clutter	NOUN
cana-6098	84	17	.	.	PUNCT
cana-6098	85	1	figure	figure	NOUN
cana-6098	85	2	1	1	NUM
cana-6098	85	3	illustrates	illustrate	VERB
cana-6098	85	4	the	the	DET
cana-6098	85	5	generic	generic	ADJ
cana-6098	85	6	pipeline	pipeline	NOUN
cana-6098	85	7	of	of	ADP
cana-6098	85	8	fer	fer	PROPN
cana-6098	85	9	's	's	PART
cana-6098	85	10	stepwise	stepwise	NOUN
cana-6098	85	11	working	working	NOUN
cana-6098	85	12	flow	flow	NOUN
cana-6098	85	13	,	,	PUNCT
cana-6098	85	14	which	which	PRON
cana-6098	85	15	is	be	AUX
cana-6098	85	16	described	describe	VERB
cana-6098	85	17	in	in	ADP
cana-6098	85	18	this	this	DET
cana-6098	85	19	part	part	NOUN
cana-6098	85	20	.	.	PUNCT
cana-6098	86	1	figure-1	figure-1	NOUN
cana-6098	86	2	preprocessing	preprocessing	NOUN
cana-6098	86	3	and	and	CCONJ
cana-6098	86	4	data	datum	NOUN
cana-6098	86	5	collecting	collect	VERB
cana-6098	86	6	via	via	ADP
cana-6098	86	7	visual	visual	ADJ
cana-6098	86	8	sensors	sensor	NOUN
cana-6098	86	9	are	be	AUX
cana-6098	86	10	crucial	crucial	ADJ
cana-6098	86	11	phases	phase	NOUN
cana-6098	86	12	.	.	PUNCT
cana-6098	87	1	usually	usually	ADV
cana-6098	87	2	,	,	PUNCT
cana-6098	87	3	the	the	DET
cana-6098	87	4	information	information	NOUN
cana-6098	87	5	is	be	AUX
cana-6098	87	6	obtained	obtain	VERB
cana-6098	87	7	from	from	ADP
cana-6098	87	8	a	a	DET
cana-6098	87	9	variety	variety	NOUN
cana-6098	87	10	of	of	ADP
cana-6098	87	11	sources	source	NOUN
cana-6098	87	12	,	,	PUNCT
cana-6098	87	13	including	include	VERB
cana-6098	87	14	surveillance	surveillance	NOUN
cana-6098	87	15	,	,	PUNCT
cana-6098	87	16	mobile	mobile	ADJ
cana-6098	87	17	phones	phone	NOUN
cana-6098	87	18	,	,	PUNCT
cana-6098	87	19	and	and	CCONJ
cana-6098	87	20	pi	pi	PROPN
cana-6098	87	21	cam	cam	NOUN
cana-6098	87	22	devices	device	NOUN
cana-6098	87	23	.	.	PUNCT
cana-6098	88	1	,cameras	,cameras	PUNCT
cana-6098	88	2	.	.	PUNCT
cana-6098	89	1	facial	facial	ADJ
cana-6098	89	2	detection	detection	NOUN
cana-6098	89	3	is	be	AUX
cana-6098	89	4	another	another	DET
cana-6098	89	5	name	name	NOUN
cana-6098	89	6	for	for	ADP
cana-6098	89	7	region	region	NOUN
cana-6098	89	8	of	of	ADP
cana-6098	89	9	interest	interest	NOUN
cana-6098	89	10	(	(	PUNCT
cana-6098	89	11	roi	roi	NOUN
cana-6098	89	12	)	)	PUNCT
cana-6098	89	13	detection	detection	NOUN
cana-6098	89	14	,	,	PUNCT
cana-6098	89	15	which	which	PRON
cana-6098	89	16	in	in	ADP
cana-6098	89	17	this	this	DET
cana-6098	89	18	case	case	NOUN
cana-6098	89	19	refers	refer	VERB
cana-6098	89	20	to	to	ADP
cana-6098	89	21	the	the	DET
cana-6098	89	22	face	face	NOUN
cana-6098	89	23	.	.	PUNCT
cana-6098	90	1	ai	ai	VERB
cana-6098	90	2	-	-	PUNCT
cana-6098	90	3	based	base	VERB
cana-6098	90	4	methods	method	NOUN
cana-6098	90	5	are	be	AUX
cana-6098	90	6	used	use	VERB
cana-6098	90	7	for	for	ADP
cana-6098	90	8	roi	roi	NOUN
cana-6098	90	9	detection	detection	NOUN
cana-6098	90	10	,	,	PUNCT
cana-6098	90	11	which	which	PRON
cana-6098	90	12	finds	find	VERB
cana-6098	90	13	and	and	CCONJ
cana-6098	90	14	identifies	identify	VERB
cana-6098	90	15	faces	face	NOUN
cana-6098	90	16	in	in	ADP
cana-6098	90	17	pictures	picture	NOUN
cana-6098	90	18	.	.	PUNCT
cana-6098	91	1	these	these	DET
cana-6098	91	2	techniques	technique	NOUN
cana-6098	91	3	have	have	AUX
cana-6098	91	4	been	be	AUX
cana-6098	91	5	widely	widely	ADV
cana-6098	91	6	used	use	VERB
cana-6098	91	7	in	in	ADP
cana-6098	91	8	a	a	DET
cana-6098	91	9	number	number	NOUN
cana-6098	91	10	of	of	ADP
cana-6098	91	11	applications	application	NOUN
cana-6098	91	12	that	that	PRON
cana-6098	91	13	entail	entail	VERB
cana-6098	91	14	tracking	tracking	NOUN
cana-6098	91	15	or	or	CCONJ
cana-6098	91	16	surveillance	surveillance	NOUN
cana-6098	91	17	,	,	PUNCT
cana-6098	91	18	including	include	VERB
cana-6098	91	19	security	security	NOUN
cana-6098	91	20	,	,	PUNCT
cana-6098	91	21	law	law	NOUN
cana-6098	91	22	enforcement	enforcement	NOUN
cana-6098	91	23	,	,	PUNCT
cana-6098	91	24	entertainment	entertainment	NOUN
cana-6098	91	25	and	and	CCONJ
cana-6098	91	26	personal	personal	ADJ
cana-6098	91	27	safety	safety	NOUN
cana-6098	91	28	.	.	PUNCT
cana-6098	92	1	a	a	DET
cana-6098	92	2	system	system	NOUN
cana-6098	92	3	called	call	VERB
cana-6098	92	4	facial	facial	ADJ
cana-6098	92	5	emotion	emotion	NOUN
cana-6098	92	6	recognition	recognition	NOUN
cana-6098	92	7	analyzes	analyze	VERB
cana-6098	92	8	emotions	emotion	NOUN
cana-6098	92	9	from	from	ADP
cana-6098	92	10	a	a	DET
cana-6098	92	11	variety	variety	NOUN
cana-6098	92	12	of	of	ADP
cana-6098	92	13	sources	source	NOUN
cana-6098	92	14	,	,	PUNCT
cana-6098	92	15	including	include	VERB
cana-6098	92	16	images	image	NOUN
cana-6098	92	17	and	and	CCONJ
cana-6098	92	18	videos	video	NOUN
cana-6098	92	19	.	.	PUNCT
cana-6098	93	1	human	human	ADJ
cana-6098	93	2	emotions	emotion	NOUN
cana-6098	93	3	can	can	AUX
cana-6098	93	4	be	be	AUX
cana-6098	93	5	inferred	infer	VERB
cana-6098	93	6	from	from	ADP
cana-6098	93	7	facial	facial	ADJ
cana-6098	93	8	expressions	expression	NOUN
cana-6098	93	9	,	,	PUNCT
cana-6098	93	10	which	which	PRON
cana-6098	93	11	are	be	AUX
cana-6098	93	12	nonverbal	nonverbal	ADJ
cana-6098	93	13	communication	communication	NOUN
cana-6098	93	14	methods	method	NOUN
cana-6098	93	15	.	.	PUNCT
cana-6098	94	1	researchers	researcher	NOUN
cana-6098	94	2	in	in	ADP
cana-6098	94	3	the	the	DET
cana-6098	94	4	fields	field	NOUN
cana-6098	94	5	of	of	ADP
cana-6098	94	6	psychology	psychology	NOUN
cana-6098	94	7	(	(	PUNCT
cana-6098	94	8	ekman	ekman	PROPN
cana-6098	94	9	and	and	CCONJ
cana-6098	94	10	friesen	friesen	PROPN
cana-6098	94	11	2003	2003	NUM
cana-6098	94	12	;	;	PUNCT
cana-6098	94	13	lang	lang	PROPN
cana-6098	94	14	et	et	PROPN
cana-6098	94	15	al	al	PROPN
cana-6098	94	16	.	.	PROPN
cana-6098	94	17	1993	1993	NUM
cana-6098	94	18	)	)	PUNCT
cana-6098	94	19	and	and	CCONJ
cana-6098	94	20	human	human	ADJ
cana-6098	94	21	-	-	PUNCT
cana-6098	94	22	computer	computer	NOUN
cana-6098	94	23	interaction	interaction	NOUN
cana-6098	94	24	(	(	PUNCT
cana-6098	94	25	cowie	cowie	PROPN
cana-6098	94	26	et	et	PROPN
cana-6098	94	27	al	al	PROPN
cana-6098	94	28	.	.	PROPN
cana-6098	94	29	2001	2001	NUM
cana-6098	94	30	;	;	PUNCT
cana-6098	94	31	abdat	abdat	NOUN
cana-6098	94	32	et	et	PROPN
cana-6098	94	33	al	al	PROPN
cana-6098	94	34	.	.	PROPN
cana-6098	94	35	2011	2011	NUM
cana-6098	94	36	)	)	PUNCT
cana-6098	94	37	have	have	AUX
cana-6098	94	38	been	be	AUX
cana-6098	94	39	interested	interested	ADJ
cana-6098	94	40	in	in	ADP
cana-6098	94	41	decoding	decode	VERB
cana-6098	94	42	such	such	ADJ
cana-6098	94	43	emotion	emotion	NOUN
cana-6098	94	44	displays	display	NOUN
cana-6098	94	45	for	for	ADP
cana-6098	94	46	decades	decade	NOUN
cana-6098	94	47	.	.	PUNCT
cana-6098	95	1	the	the	DET
cana-6098	95	2	development	development	NOUN
cana-6098	95	3	of	of	ADP
cana-6098	95	4	fer	fer	PROPN
cana-6098	95	5	communications	communication	NOUN
cana-6098	95	6	on	on	ADP
cana-6098	95	7	applied	apply	VERB
cana-6098	95	8	nonlinear	nonlinear	ADJ
cana-6098	95	9	analysis	analysis	NOUN
cana-6098	95	10	issn	issn	NOUN
cana-6098	95	11	:	:	PUNCT
cana-6098	95	12	1074	1074	NUM
cana-6098	95	13	-	-	PUNCT
cana-6098	95	14	133x	133x	NUM
cana-6098	95	15	vol	vol	VERB
cana-6098	95	16	32	32	NUM
cana-6098	95	17	no	no	NOUN
cana-6098	95	18	.	.	PUNCT
cana-6098	96	1	10s	10	NOUN
cana-6098	96	2	(	(	PUNCT
cana-6098	96	3	2025	2025	NUM
cana-6098	96	4	)	)	PUNCT
cana-6098	96	5	3338	3338	NUM
cana-6098	96	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-6098	96	7	m	m	PROPN
cana-6098	96	8	technology	technology	NOUN
cana-6098	96	9	has	have	AUX
cana-6098	96	10	recently	recently	ADV
cana-6098	96	11	been	be	AUX
cana-6098	96	12	significantly	significantly	ADV
cana-6098	96	13	influenced	influence	VERB
cana-6098	96	14	by	by	ADP
cana-6098	96	15	the	the	DET
cana-6098	96	16	widespread	widespread	ADJ
cana-6098	96	17	use	use	NOUN
cana-6098	96	18	of	of	ADP
cana-6098	96	19	cameras	camera	NOUN
cana-6098	96	20	as	as	ADV
cana-6098	96	21	well	well	ADV
cana-6098	96	22	as	as	ADP
cana-6098	96	23	advancements	advancement	NOUN
cana-6098	96	24	in	in	ADP
cana-6098	96	25	machine	machine	NOUN
cana-6098	96	26	learning	learning	NOUN
cana-6098	96	27	,	,	PUNCT
cana-6098	96	28	biometrics	biometric	NOUN
cana-6098	96	29	analysis	analysis	NOUN
cana-6098	96	30	,	,	PUNCT
cana-6098	96	31	and	and	CCONJ
cana-6098	96	32	pattern	pattern	NOUN
cana-6098	96	33	recognition	recognition	NOUN
cana-6098	96	34	.	.	PUNCT
cana-6098	97	1	the	the	DET
cana-6098	97	2	photos	photo	NOUN
cana-6098	97	3	or	or	CCONJ
cana-6098	97	4	videos	video	NOUN
cana-6098	97	5	that	that	PRON
cana-6098	97	6	are	be	AUX
cana-6098	97	7	used	use	VERB
cana-6098	97	8	as	as	ADP
cana-6098	97	9	input	input	NOUN
cana-6098	97	10	to	to	AUX
cana-6098	97	11	fer	fer	PROPN
cana-6098	97	12	algorithms	algorithm	NOUN
cana-6098	97	13	come	come	VERB
cana-6098	97	14	from	from	ADP
cana-6098	97	15	a	a	DET
cana-6098	97	16	variety	variety	NOUN
cana-6098	97	17	of	of	ADP
cana-6098	97	18	sources	source	NOUN
cana-6098	97	19	,	,	PUNCT
cana-6098	97	20	including	include	VERB
cana-6098	97	21	surveillance	surveillance	NOUN
cana-6098	97	22	cameras	camera	NOUN
cana-6098	97	23	,	,	PUNCT
cana-6098	97	24	cameras	camera	NOUN
cana-6098	97	25	positioned	position	VERB
cana-6098	97	26	near	near	ADP
cana-6098	97	27	storefront	storefront	ADJ
cana-6098	97	28	advertising	advertising	NOUN
cana-6098	97	29	screens	screen	NOUN
cana-6098	97	30	,	,	PUNCT
cana-6098	97	31	social	social	ADJ
cana-6098	97	32	media	medium	NOUN
cana-6098	97	33	,	,	PUNCT
cana-6098	97	34	streaming	streaming	NOUN
cana-6098	97	35	services	service	NOUN
cana-6098	97	36	,	,	PUNCT
cana-6098	97	37	and	and	CCONJ
cana-6098	97	38	individual	individual	ADJ
cana-6098	97	39	devices	device	NOUN
cana-6098	97	40	.	.	PUNCT
cana-6098	98	1	the	the	DET
cana-6098	98	2	overall	overall	ADJ
cana-6098	98	3	process	process	NOUN
cana-6098	98	4	of	of	ADP
cana-6098	98	5	face	face	NOUN
cana-6098	98	6	emotion	emotion	NOUN
cana-6098	98	7	recognition	recognition	NOUN
cana-6098	98	8	consists	consist	VERB
cana-6098	98	9	of	of	ADP
cana-6098	98	10	three	three	NUM
cana-6098	98	11	phases	phase	NOUN
cana-6098	98	12	:	:	PUNCT
cana-6098	98	13	pre	pre	ADJ
cana-6098	98	14	-	-	ADJ
cana-6098	98	15	processing	processing	ADJ
cana-6098	98	16	,	,	PUNCT
cana-6098	98	17	face	face	NOUN
cana-6098	98	18	detection	detection	NOUN
cana-6098	98	19	,	,	PUNCT
cana-6098	98	20	and	and	CCONJ
cana-6098	98	21	sentiment	sentiment	NOUN
cana-6098	98	22	classification	classification	NOUN
cana-6098	98	23	.	.	PUNCT
cana-6098	99	1	in	in	ADP
cana-6098	99	2	the	the	DET
cana-6098	99	3	pre	pre	ADJ
cana-6098	99	4	-	-	ADJ
cana-6098	99	5	processing	processing	ADJ
cana-6098	99	6	phase	phase	NOUN
cana-6098	99	7	,	,	PUNCT
cana-6098	99	8	the	the	DET
cana-6098	99	9	dataset	dataset	NOUN
cana-6098	99	10	is	be	AUX
cana-6098	99	11	prepared	prepare	VERB
cana-6098	99	12	to	to	PART
cana-6098	99	13	work	work	VERB
cana-6098	99	14	with	with	ADP
cana-6098	99	15	generalized	generalized	ADJ
cana-6098	99	16	algorithms	algorithm	NOUN
cana-6098	99	17	and	and	CCONJ
cana-6098	99	18	generate	generate	VERB
cana-6098	99	19	efficient	efficient	ADJ
cana-6098	99	20	results	result	NOUN
cana-6098	99	21	.	.	PUNCT
cana-6098	100	1	the	the	DET
cana-6098	100	2	face	face	NOUN
cana-6098	100	3	detection	detection	NOUN
cana-6098	100	4	phase	phase	NOUN
cana-6098	100	5	involves	involve	VERB
cana-6098	100	6	detecting	detect	VERB
cana-6098	100	7	faces	face	NOUN
cana-6098	100	8	in	in	ADP
cana-6098	100	9	real	real	ADJ
cana-6098	100	10	-	-	PUNCT
cana-6098	100	11	time	time	NOUN
cana-6098	100	12	captured	capture	VERB
cana-6098	100	13	images	image	NOUN
cana-6098	100	14	3.2.2	3.2.2	NUM
cana-6098	100	15	speech	speech	NOUN
cana-6098	100	16	audio	audio	ADJ
cana-6098	100	17	preprocessing	preprocessing	NOUN
cana-6098	100	18	audio	audio	NOUN
cana-6098	100	19	is	be	AUX
cana-6098	100	20	separated	separate	VERB
cana-6098	100	21	from	from	ADP
cana-6098	100	22	the	the	DET
cana-6098	100	23	video	video	NOUN
cana-6098	100	24	stream	stream	NOUN
cana-6098	100	25	for	for	ADP
cana-6098	100	26	transcription	transcription	NOUN
cana-6098	100	27	.	.	PUNCT
cana-6098	101	1	for	for	ADP
cana-6098	101	2	broader	broad	ADJ
cana-6098	101	3	audio	audio	ADJ
cana-6098	101	4	analysis	analysis	NOUN
cana-6098	101	5	,	,	PUNCT
cana-6098	101	6	such	such	ADJ
cana-6098	101	7	as	as	ADP
cana-6098	101	8	tone	tone	NOUN
cana-6098	101	9	evaluation	evaluation	NOUN
cana-6098	101	10	,	,	PUNCT
cana-6098	101	11	preprocessing	preprocesse	VERB
cana-6098	101	12	involves	involve	NOUN
cana-6098	101	13	applying	apply	VERB
cana-6098	101	14	pre	pre	NOUN
cana-6098	101	15	-	-	NOUN
cana-6098	101	16	emphasis	emphasis	NOUN
cana-6098	101	17	to	to	ADP
cana-6098	101	18	the	the	DET
cana-6098	101	19	signal	signal	NOUN
cana-6098	101	20	,	,	PUNCT
cana-6098	101	21	followed	follow	VERB
cana-6098	101	22	by	by	ADP
cana-6098	101	23	framing	frame	VERB
cana-6098	101	24	with	with	ADP
cana-6098	101	25	a	a	DET
cana-6098	101	26	30	30	NUM
cana-6098	101	27	ms	ms	NOUN
cana-6098	101	28	hamming	hamming	NOUN
cana-6098	101	29	window	window	NOUN
cana-6098	101	30	and	and	CCONJ
cana-6098	101	31	a	a	DET
cana-6098	101	32	15	15	NUM
cana-6098	101	33	ms	ms	NOUN
cana-6098	101	34	overlap	overlap	NOUN
cana-6098	101	35	.	.	PUNCT
cana-6098	102	1	whisper	whisper	VERB
cana-6098	102	2	for	for	ADP
cana-6098	102	3	language	language	NOUN
cana-6098	102	4	identification	identification	NOUN
cana-6098	102	5	the	the	DET
cana-6098	102	6	whisper	whisper	NOUN
cana-6098	102	7	model	model	NOUN
cana-6098	102	8	follows	follow	VERB
cana-6098	102	9	a	a	DET
cana-6098	102	10	straightforward	straightforward	ADJ
cana-6098	102	11	end	end	NOUN
cana-6098	102	12	-	-	PUNCT
cana-6098	102	13	to	to	ADP
cana-6098	102	14	-	-	PUNCT
cana-6098	102	15	end	end	NOUN
cana-6098	102	16	design	design	NOUN
cana-6098	102	17	based	base	VERB
cana-6098	102	18	on	on	ADP
cana-6098	102	19	an	an	DET
cana-6098	102	20	encoder	encoder	NOUN
cana-6098	102	21	-	-	PUNCT
cana-6098	102	22	decoder	decoder	NOUN
cana-6098	102	23	transformer	transformer	NOUN
cana-6098	102	24	.	.	PUNCT
cana-6098	103	1	audio	audio	ADJ
cana-6098	103	2	input	input	NOUN
cana-6098	103	3	is	be	AUX
cana-6098	103	4	divided	divide	VERB
cana-6098	103	5	into	into	ADP
cana-6098	103	6	30	30	NUM
cana-6098	103	7	-	-	PUNCT
cana-6098	103	8	second	second	ADJ
cana-6098	103	9	segments	segment	NOUN
cana-6098	103	10	,	,	PUNCT
cana-6098	103	11	transformed	transform	VERB
cana-6098	103	12	into	into	ADP
cana-6098	103	13	a	a	DET
cana-6098	103	14	log	log	NOUN
cana-6098	103	15	-	-	PUNCT
cana-6098	103	16	mel	mel	NOUN
cana-6098	103	17	spectrogram	spectrogram	NOUN
cana-6098	103	18	,	,	PUNCT
cana-6098	103	19	and	and	CCONJ
cana-6098	103	20	processed	process	VERB
cana-6098	103	21	by	by	ADP
cana-6098	103	22	the	the	DET
cana-6098	103	23	encoder	encoder	NOUN
cana-6098	103	24	.	.	PUNCT
cana-6098	104	1	the	the	DET
cana-6098	104	2	decoder	decoder	NOUN
cana-6098	104	3	is	be	AUX
cana-6098	104	4	then	then	ADV
cana-6098	104	5	trained	train	VERB
cana-6098	104	6	to	to	PART
cana-6098	104	7	generate	generate	VERB
cana-6098	104	8	the	the	DET
cana-6098	104	9	matching	match	VERB
cana-6098	104	10	text	text	NOUN
cana-6098	104	11	output	output	NOUN
cana-6098	104	12	,	,	PUNCT
cana-6098	104	13	incorporating	incorporate	VERB
cana-6098	104	14	special	special	ADJ
cana-6098	104	15	tokens	token	NOUN
cana-6098	104	16	that	that	PRON
cana-6098	104	17	enable	enable	VERB
cana-6098	104	18	the	the	DET
cana-6098	104	19	model	model	NOUN
cana-6098	104	20	to	to	PART
cana-6098	104	21	handle	handle	VERB
cana-6098	104	22	tasks	task	NOUN
cana-6098	104	23	like	like	ADP
cana-6098	104	24	language	language	NOUN
cana-6098	104	25	detection	detection	NOUN
cana-6098	104	26	,	,	PUNCT
cana-6098	104	27	phrase	phrase	NOUN
cana-6098	104	28	-	-	PUNCT
cana-6098	104	29	level	level	NOUN
cana-6098	104	30	timestamping	timestamping	NOUN
cana-6098	104	31	,	,	PUNCT
cana-6098	104	32	multilingual	multilingual	ADJ
cana-6098	104	33	transcription	transcription	NOUN
cana-6098	104	34	,	,	PUNCT
cana-6098	104	35	and	and	CCONJ
cana-6098	104	36	translation	translation	NOUN
cana-6098	104	37	of	of	ADP
cana-6098	104	38	speech	speech	NOUN
cana-6098	104	39	into	into	ADP
cana-6098	104	40	english.[38	english.[38	PROPN
cana-6098	104	41	]	]	PUNCT
cana-6098	104	42	accent	accent	ADJ
cana-6098	104	43	identification	identification	NOUN
cana-6098	104	44	and	and	CCONJ
cana-6098	104	45	language	language	NOUN
cana-6098	104	46	masking	masking	NOUN
cana-6098	104	47	accents	accent	NOUN
cana-6098	104	48	represent	represent	VERB
cana-6098	104	49	differences	difference	NOUN
cana-6098	104	50	in	in	ADP
cana-6098	104	51	pronunciation	pronunciation	NOUN
cana-6098	104	52	,	,	PUNCT
cana-6098	104	53	intonation	intonation	NOUN
cana-6098	104	54	,	,	PUNCT
cana-6098	104	55	rhythm	rhythm	NOUN
cana-6098	104	56	,	,	PUNCT
cana-6098	104	57	and	and	CCONJ
cana-6098	104	58	speech	speech	NOUN
cana-6098	104	59	patterns	pattern	NOUN
cana-6098	104	60	that	that	PRON
cana-6098	104	61	emerge	emerge	VERB
cana-6098	104	62	from	from	ADP
cana-6098	104	63	geographical	geographical	ADJ
cana-6098	104	64	,	,	PUNCT
cana-6098	104	65	social	social	ADJ
cana-6098	104	66	,	,	PUNCT
cana-6098	104	67	cultural	cultural	ADJ
cana-6098	104	68	,	,	PUNCT
cana-6098	104	69	or	or	CCONJ
cana-6098	104	70	linguistic	linguistic	ADJ
cana-6098	104	71	influences	influence	NOUN
cana-6098	104	72	.	.	PUNCT
cana-6098	105	1	recognizing	recognize	VERB
cana-6098	105	2	and	and	CCONJ
cana-6098	105	3	interpreting	interpret	VERB
cana-6098	105	4	accents	accent	NOUN
cana-6098	105	5	is	be	AUX
cana-6098	105	6	useful	useful	ADJ
cana-6098	105	7	for	for	ADP
cana-6098	105	8	a	a	DET
cana-6098	105	9	range	range	NOUN
cana-6098	105	10	of	of	ADP
cana-6098	105	11	applications	application	NOUN
cana-6098	105	12	,	,	PUNCT
cana-6098	105	13	including	include	VERB
cana-6098	105	14	speech	speech	NOUN
cana-6098	105	15	recognition	recognition	NOUN
cana-6098	105	16	,	,	PUNCT
cana-6098	105	17	speaker	speaker	NOUN
cana-6098	105	18	diarization	diarization	NOUN
cana-6098	105	19	,	,	PUNCT
cana-6098	105	20	language	language	NOUN
cana-6098	105	21	learning	learning	NOUN
cana-6098	105	22	,	,	PUNCT
cana-6098	105	23	and	and	CCONJ
cana-6098	105	24	sociolinguistic	sociolinguistic	ADJ
cana-6098	105	25	research	research	NOUN
cana-6098	105	26	.	.	PUNCT
cana-6098	106	1	in	in	ADP
cana-6098	106	2	the	the	DET
cana-6098	106	3	framework	framework	NOUN
cana-6098	106	4	the	the	DET
cana-6098	106	5	process	process	NOUN
cana-6098	106	6	of	of	ADP
cana-6098	106	7	finding	find	VERB
cana-6098	106	8	and	and	CCONJ
cana-6098	106	9	segmenting	segment	VERB
cana-6098	106	10	multiple	multiple	ADJ
cana-6098	106	11	languages	language	NOUN
cana-6098	106	12	within	within	ADP
cana-6098	106	13	a	a	DET
cana-6098	106	14	multilingual	multilingual	ADJ
cana-6098	106	15	audio	audio	ADJ
cana-6098	106	16	recording	recording	NOUN
cana-6098	106	17	—	—	PUNCT
cana-6098	106	18	accent	accent	ADJ
cana-6098	106	19	detection	detection	NOUN
cana-6098	106	20	plays	play	VERB
cana-6098	106	21	an	an	DET
cana-6098	106	22	important	important	ADJ
cana-6098	106	23	role	role	NOUN
cana-6098	106	24	.	.	PUNCT
cana-6098	107	1	accents	accent	NOUN
cana-6098	107	2	can	can	AUX
cana-6098	107	3	act	act	VERB
cana-6098	107	4	as	as	ADP
cana-6098	107	5	an	an	DET
cana-6098	107	6	additional	additional	ADJ
cana-6098	107	7	signal	signal	NOUN
cana-6098	107	8	to	to	PART
cana-6098	107	9	distinguish	distinguish	VERB
cana-6098	107	10	between	between	ADP
cana-6098	107	11	languages	language	NOUN
cana-6098	107	12	and	and	CCONJ
cana-6098	107	13	to	to	PART
cana-6098	107	14	detect	detect	VERB
cana-6098	107	15	language	language	NOUN
cana-6098	107	16	transitions	transition	NOUN
cana-6098	107	17	,	,	PUNCT
cana-6098	107	18	even	even	ADV
cana-6098	107	19	within	within	ADP
cana-6098	107	20	code	code	NOUN
cana-6098	107	21	-	-	PUNCT
cana-6098	107	22	switching	switch	VERB
cana-6098	107	23	segments	segment	NOUN
cana-6098	107	24	.	.	PUNCT
cana-6098	108	1	combining	combine	VERB
cana-6098	108	2	accent	accent	NOUN
cana-6098	108	3	-	-	PUNCT
cana-6098	108	4	based	base	VERB
cana-6098	108	5	features	feature	NOUN
cana-6098	108	6	with	with	ADP
cana-6098	108	7	other	other	ADJ
cana-6098	108	8	acoustic	acoustic	ADJ
cana-6098	108	9	and	and	CCONJ
cana-6098	108	10	phonetic	phonetic	ADJ
cana-6098	108	11	cues	cue	NOUN
cana-6098	108	12	can	can	AUX
cana-6098	108	13	significantly	significantly	ADV
cana-6098	108	14	improve	improve	VERB
cana-6098	108	15	the	the	DET
cana-6098	108	16	accuracy	accuracy	NOUN
cana-6098	108	17	of	of	ADP
cana-6098	108	18	language	language	NOUN
cana-6098	108	19	segmentation	segmentation	NOUN
cana-6098	108	20	and	and	CCONJ
cana-6098	108	21	identification	identification	NOUN
cana-6098	108	22	,	,	PUNCT
cana-6098	108	23	especially	especially	ADV
cana-6098	108	24	in	in	ADP
cana-6098	108	25	linguistically	linguistically	ADV
cana-6098	108	26	diverse	diverse	ADJ
cana-6098	108	27	environments.[40	environments.[40	NOUN
cana-6098	108	28	]	]	PUNCT
cana-6098	108	29	throughout	throughout	ADP
cana-6098	108	30	the	the	DET
cana-6098	108	31	paper	paper	NOUN
cana-6098	108	32	,	,	PUNCT
cana-6098	108	33	the	the	DET
cana-6098	108	34	terms	term	NOUN
cana-6098	108	35	attention	attention	NOUN
cana-6098	108	36	mask	mask	NOUN
cana-6098	108	37	,	,	PUNCT
cana-6098	108	38	language	language	NOUN
cana-6098	108	39	masking	masking	NOUN
cana-6098	108	40	,	,	PUNCT
cana-6098	108	41	and	and	CCONJ
cana-6098	108	42	language	language	NOUN
cana-6098	108	43	selection	selection	NOUN
cana-6098	108	44	are	be	AUX
cana-6098	108	45	used	use	VERB
cana-6098	108	46	interchangeably	interchangeably	ADV
cana-6098	108	47	.	.	PUNCT
cana-6098	109	1	whisper	whisper	NOUN
cana-6098	109	2	model	model	PROPN
cana-6098	109	3	uses	use	VERB
cana-6098	109	4	transformer	transformer	NOUN
cana-6098	109	5	-	-	PUNCT
cana-6098	109	6	based	base	VERB
cana-6098	109	7	sequence	sequence	NOUN
cana-6098	109	8	-	-	PUNCT
cana-6098	109	9	to	to	ADP
cana-6098	109	10	-	-	PUNCT
cana-6098	109	11	sequence	sequence	NOUN
cana-6098	109	12	learning	learning	NOUN
cana-6098	109	13	algorithm	algorithm	NOUN
cana-6098	109	14	.	.	PUNCT
cana-6098	110	1	in	in	ADP
cana-6098	110	2	whisper	whisper	NOUN
cana-6098	110	3	,	,	PUNCT
cana-6098	110	4	input	input	NOUN
cana-6098	110	5	=	=	SYM
cana-6098	110	6	audio	audio	NOUN
cana-6098	110	7	spectrogram	spectrogram	NOUN
cana-6098	110	8	,	,	PUNCT
cana-6098	110	9	output	output	NOUN
cana-6098	110	10	=	=	NOUN
cana-6098	110	11	text	text	NOUN
cana-6098	110	12	tokens	token	NOUN
cana-6098	110	13	.	.	PUNCT
cana-6098	111	1	the	the	DET
cana-6098	111	2	transformer	transformer	NOUN
cana-6098	111	3	is	be	AUX
cana-6098	111	4	the	the	DET
cana-6098	111	5	neural	neural	ADJ
cana-6098	111	6	network	network	NOUN
cana-6098	111	7	architecture	architecture	NOUN
cana-6098	111	8	used	use	VERB
cana-6098	111	9	to	to	PART
cana-6098	111	10	perform	perform	VERB
cana-6098	111	11	this	this	DET
cana-6098	111	12	mapping	mapping	NOUN
cana-6098	111	13	.	.	PUNCT
cana-6098	112	1	communications	communication	NOUN
cana-6098	112	2	on	on	ADP
cana-6098	112	3	applied	apply	VERB
cana-6098	112	4	nonlinear	nonlinear	ADJ
cana-6098	112	5	analysis	analysis	NOUN
cana-6098	112	6	issn	issn	NOUN
cana-6098	112	7	:	:	PUNCT
cana-6098	112	8	1074	1074	NUM
cana-6098	112	9	-	-	PUNCT
cana-6098	112	10	133x	133x	NUM
cana-6098	112	11	vol	vol	VERB
cana-6098	112	12	32	32	NUM
cana-6098	112	13	no	no	NOUN
cana-6098	112	14	.	.	PUNCT
cana-6098	113	1	10s	10	NOUN
cana-6098	113	2	(	(	PUNCT
cana-6098	113	3	2025	2025	NUM
cana-6098	113	4	)	)	PUNCT
cana-6098	113	5	3339	3339	NUM
cana-6098	113	6	https://internationalpubls.co	https://internationalpubls.co	X
cana-6098	113	7	m	m	NOUN
cana-6098	113	8	figure-2	figure-2	NUM
cana-6098	113	9	:	:	PUNCT
cana-6098	113	10	whisper	whisper	VERB
cana-6098	113	11	seq2seq	seq2seq	NOUN
cana-6098	113	12	architecture	architecture	NOUN
cana-6098	113	13	flow	flow	NOUN
cana-6098	113	14	encoder	encoder	NOUN
cana-6098	113	15	•	•	NOUN
cana-6098	113	16	input	input	NOUN
cana-6098	113	17	sequence	sequence	NOUN
cana-6098	113	18	:	:	PUNCT
cana-6098	113	19	log	log	NOUN
cana-6098	113	20	-	-	PUNCT
cana-6098	113	21	mel	mel	PROPN
cana-6098	113	22	spectrogram	spectrogram	PROPN
cana-6098	113	23	(	(	PUNCT
cana-6098	113	24	from	from	ADP
cana-6098	113	25	audio	audio	NOUN
cana-6098	113	26	)	)	PUNCT
cana-6098	113	27	.	.	PUNCT
cana-6098	114	1	•	•	NOUN
cana-6098	114	2	send	send	VERB
cana-6098	114	3	over	over	ADP
cana-6098	114	4	multiple	multiple	ADJ
cana-6098	114	5	layers	layer	NOUN
cana-6098	114	6	of	of	ADP
cana-6098	114	7	self	self	NOUN
cana-6098	114	8	-	-	PUNCT
cana-6098	114	9	attention	attention	NOUN
cana-6098	114	10	+	+	CCONJ
cana-6098	114	11	feed	feed	NOUN
cana-6098	114	12	-	-	PUNCT
cana-6098	114	13	forward	forward	NOUN
cana-6098	114	14	networks	network	NOUN
cana-6098	114	15	.	.	PUNCT
cana-6098	115	1	•	•	NOUN
cana-6098	115	2	captures	capture	VERB
cana-6098	115	3	relations	relation	NOUN
cana-6098	115	4	through	through	ADP
cana-6098	115	5	time	time	NOUN
cana-6098	115	6	and	and	CCONJ
cana-6098	115	7	frequency	frequency	NOUN
cana-6098	115	8	(	(	PUNCT
cana-6098	115	9	e.g.	e.g.	ADV
cana-6098	115	10	,	,	PUNCT
cana-6098	115	11	phonemes	phoneme	NOUN
cana-6098	115	12	,	,	PUNCT
cana-6098	115	13	rhythm	rhythm	PROPN
cana-6098	115	14	)	)	PUNCT
cana-6098	115	15	.	.	PUNCT
cana-6098	116	1	•	•	NOUN
cana-6098	116	2	outputs	output	NOUN
cana-6098	116	3	a	a	DET
cana-6098	116	4	sequence	sequence	NOUN
cana-6098	116	5	of	of	ADP
cana-6098	116	6	contextualized	contextualized	ADJ
cana-6098	116	7	embeddings	embedding	NOUN
cana-6098	116	8	.	.	PUNCT
cana-6098	117	1	decoder	decoder	NOUN
cana-6098	117	2	•	•	NOUN
cana-6098	117	3	takes	take	VERB
cana-6098	117	4	encoder	encoder	NOUN
cana-6098	117	5	outputs	output	NOUN
cana-6098	117	6	+	+	CCONJ
cana-6098	117	7	previously	previously	ADV
cana-6098	117	8	generated	generate	VERB
cana-6098	117	9	text	text	NOUN
cana-6098	117	10	tokens	token	NOUN
cana-6098	117	11	.	.	PUNCT
cana-6098	118	1	•	•	NUM
cana-6098	118	2	uses	use	VERB
cana-6098	118	3	self	self	NOUN
cana-6098	118	4	-	-	PUNCT
cana-6098	118	5	attention	attention	NOUN
cana-6098	118	6	(	(	PUNCT
cana-6098	118	7	over	over	ADP
cana-6098	118	8	generated	generate	VERB
cana-6098	118	9	text	text	NOUN
cana-6098	118	10	so	so	ADV
cana-6098	118	11	far	far	ADV
cana-6098	118	12	)	)	PUNCT
cana-6098	118	13	and	and	CCONJ
cana-6098	118	14	cross	cross	NOUN
cana-6098	118	15	-	-	NOUN
cana-6098	118	16	attention	attention	ADJ
cana-6098	118	17	(	(	PUNCT
cana-6098	118	18	attend	attend	VERB
cana-6098	118	19	to	to	ADP
cana-6098	118	20	encoder	encoder	NOUN
cana-6098	118	21	outputs	output	NOUN
cana-6098	118	22	)	)	PUNCT
cana-6098	118	23	.	.	PUNCT
cana-6098	119	1	•	•	NOUN
cana-6098	119	2	autoregressively	autoregressively	ADV
cana-6098	119	3	generates	generate	VERB
cana-6098	119	4	next	next	ADJ
cana-6098	119	5	tokens	token	NOUN
cana-6098	119	6	until	until	SCONJ
cana-6098	119	7	the	the	DET
cana-6098	119	8	sentence	sentence	NOUN
cana-6098	119	9	ends	end	VERB
cana-6098	119	10	.	.	PUNCT
cana-6098	120	1	attention	attention	NOUN
cana-6098	120	2	mechanism	mechanism	NOUN
cana-6098	120	3	•	•	NOUN
cana-6098	120	4	core	core	NOUN
cana-6098	120	5	of	of	ADP
cana-6098	120	6	the	the	DET
cana-6098	120	7	transformer	transformer	NOUN
cana-6098	120	8	.	.	PUNCT
cana-6098	121	1	•	•	NOUN
cana-6098	121	2	helps	help	VERB
cana-6098	121	3	the	the	DET
cana-6098	121	4	model	model	NOUN
cana-6098	121	5	learn	learn	VERB
cana-6098	121	6	which	which	PRON
cana-6098	121	7	parts	part	NOUN
cana-6098	121	8	of	of	ADP
cana-6098	121	9	the	the	DET
cana-6098	121	10	input	input	NOUN
cana-6098	121	11	are	be	AUX
cana-6098	121	12	relevant	relevant	ADJ
cana-6098	121	13	for	for	ADP
cana-6098	121	14	predicting	predict	VERB
cana-6098	121	15	the	the	DET
cana-6098	121	16	current	current	ADJ
cana-6098	121	17	output	output	NOUN
cana-6098	121	18	token	token	VERB
cana-6098	121	19	.	.	PUNCT
cana-6098	122	1	communications	communication	NOUN
cana-6098	122	2	on	on	ADP
cana-6098	122	3	applied	apply	VERB
cana-6098	122	4	nonlinear	nonlinear	ADJ
cana-6098	122	5	analysis	analysis	NOUN
cana-6098	122	6	issn	issn	NOUN
cana-6098	122	7	:	:	PUNCT
cana-6098	122	8	1074	1074	NUM
cana-6098	122	9	-	-	PUNCT
cana-6098	122	10	133x	133x	NUM
cana-6098	122	11	vol	vol	VERB
cana-6098	122	12	32	32	NUM
cana-6098	122	13	no	no	NOUN
cana-6098	122	14	.	.	PUNCT
cana-6098	123	1	10s	10	NOUN
cana-6098	123	2	(	(	PUNCT
cana-6098	123	3	2025	2025	NUM
cana-6098	123	4	)	)	PUNCT
cana-6098	123	5	3340	3340	NUM
cana-6098	123	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-6098	123	7	m	m	PROPN
cana-6098	123	8	3.2.3	3.2.3	NUM
cana-6098	123	9	transcribed	transcribe	VERB
cana-6098	123	10	text	text	NOUN
cana-6098	123	11	preprocessing	preprocessing	NOUN
cana-6098	123	12	succeeding	succeed	VERB
cana-6098	123	13	transcript	transcript	NOUN
cana-6098	123	14	,	,	PUNCT
cana-6098	123	15	the	the	DET
cana-6098	123	16	text	text	NOUN
cana-6098	123	17	is	be	AUX
cana-6098	123	18	processed	process	VERB
cana-6098	123	19	through	through	ADP
cana-6098	123	20	several	several	ADJ
cana-6098	123	21	nlp	nlp	NOUN
cana-6098	123	22	preprocessing	preprocessing	NOUN
cana-6098	123	23	steps	step	NOUN
cana-6098	123	24	:	:	PUNCT
cana-6098	123	25	•	•	NOUN
cana-6098	123	26	language	language	NOUN
cana-6098	123	27	detection	detection	NOUN
cana-6098	123	28	:	:	PUNCT
cana-6098	123	29	achieved	achieve	VERB
cana-6098	123	30	with	with	ADP
cana-6098	123	31	langid.classify	langid.classify	PRON
cana-6098	123	32	to	to	PART
cana-6098	123	33	identify	identify	VERB
cana-6098	123	34	the	the	DET
cana-6098	123	35	text	text	NOUN
cana-6098	123	36	’s	’s	PART
cana-6098	123	37	language	language	NOUN
cana-6098	123	38	.	.	PUNCT
cana-6098	124	1	•	•	NUM
cana-6098	124	2	tokenization	tokenization	NOUN
cana-6098	124	3	and	and	CCONJ
cana-6098	124	4	lemmatization	lemmatization	NOUN
cana-6098	124	5	:	:	PUNCT
cana-6098	124	6	splitting	splitting	NOUN
cana-6098	124	7	text	text	NOUN
cana-6098	124	8	into	into	ADP
cana-6098	124	9	tokens	token	NOUN
cana-6098	124	10	and	and	CCONJ
cana-6098	124	11	converting	convert	VERB
cana-6098	124	12	words	word	NOUN
cana-6098	124	13	to	to	ADP
cana-6098	124	14	their	their	PRON
cana-6098	124	15	root	root	NOUN
cana-6098	124	16	forms	form	NOUN
cana-6098	124	17	.	.	PUNCT
cana-6098	125	1	•	•	NUM
cana-6098	125	2	stop	stop	VERB
cana-6098	125	3	word	word	NOUN
cana-6098	125	4	removal	removal	NOUN
cana-6098	125	5	:	:	PUNCT
cana-6098	125	6	eliminating	eliminate	VERB
cana-6098	125	7	common	common	ADJ
cana-6098	125	8	terms	term	NOUN
cana-6098	125	9	(	(	PUNCT
cana-6098	125	10	e.g.	e.g.	ADV
cana-6098	125	11	,	,	PUNCT
cana-6098	125	12	“	"	PUNCT
cana-6098	125	13	is	be	AUX
cana-6098	125	14	,	,	PUNCT
cana-6098	125	15	”	"	PUNCT
cana-6098	125	16	“	"	PUNCT
cana-6098	125	17	a	a	PRON
cana-6098	125	18	,	,	PUNCT
cana-6098	125	19	”	"	PUNCT
cana-6098	125	20	“	"	PUNCT
cana-6098	125	21	the	the	PRON
cana-6098	125	22	”	"	PUNCT
cana-6098	125	23	)	)	PUNCT
cana-6098	125	24	,	,	PUNCT
cana-6098	125	25	with	with	ADP
cana-6098	125	26	added	add	VERB
cana-6098	125	27	support	support	NOUN
cana-6098	125	28	for	for	ADP
cana-6098	125	29	hindi	hindi	NOUN
cana-6098	125	30	stopwords	stopword	NOUN
cana-6098	125	31	.	.	PUNCT
cana-6098	126	1	•	•	NUM
cana-6098	126	2	keyword	keyword	NOUN
cana-6098	126	3	extraction	extraction	NOUN
cana-6098	126	4	:	:	PUNCT
cana-6098	126	5	applying	apply	VERB
cana-6098	126	6	the	the	DET
cana-6098	126	7	rake	rake	NOUN
cana-6098	126	8	(	(	PUNCT
cana-6098	126	9	rapid	rapid	ADJ
cana-6098	126	10	automatic	automatic	ADJ
cana-6098	126	11	keyword	keyword	NOUN
cana-6098	126	12	extraction	extraction	NOUN
cana-6098	126	13	)	)	PUNCT
cana-6098	126	14	algorithm	algorithm	NOUN
cana-6098	126	15	to	to	PART
cana-6098	126	16	identify	identify	VERB
cana-6098	126	17	key	key	ADJ
cana-6098	126	18	phrases	phrase	NOUN
cana-6098	126	19	and	and	CCONJ
cana-6098	126	20	terms	term	NOUN
cana-6098	126	21	by	by	ADP
cana-6098	126	22	filtering	filter	VERB
cana-6098	126	23	out	out	ADP
cana-6098	126	24	stop	stop	NOUN
cana-6098	126	25	words	word	NOUN
cana-6098	126	26	and	and	CCONJ
cana-6098	126	27	using	use	VERB
cana-6098	126	28	delimiters	delimiter	NOUN
cana-6098	126	29	.	.	PUNCT
cana-6098	127	1	3.3	3.3	NUM
cana-6098	127	2	feature	feature	NOUN
cana-6098	127	3	extraction	extraction	NOUN
cana-6098	127	4	3.3.1	3.3.1	NUM
cana-6098	127	5	facial	facial	ADJ
cana-6098	127	6	expressions	expression	NOUN
cana-6098	127	7	the	the	DET
cana-6098	127	8	‘	'	PUNCT
cana-6098	127	9	fer	fer	NOUN
cana-6098	127	10	‘	'	PUNCT
cana-6098	127	11	library	library	ADJ
cana-6098	127	12	detects	detect	NOUN
cana-6098	127	13	faces	face	NOUN
cana-6098	127	14	and	and	CCONJ
cana-6098	127	15	extracts	extract	VERB
cana-6098	127	16	associated	associated	ADJ
cana-6098	127	17	emotions	emotion	NOUN
cana-6098	127	18	(	(	PUNCT
cana-6098	127	19	e.g.	e.g.	ADV
cana-6098	127	20	,	,	PUNCT
cana-6098	127	21	’	'	PUNCT
cana-6098	127	22	sad	sad	ADJ
cana-6098	127	23	’	'	PUNCT
cana-6098	127	24	,	,	PUNCT
cana-6098	127	25	’	'	PUNCT
cana-6098	127	26	angry	angry	ADJ
cana-6098	127	27	’	'	PUNCT
cana-6098	127	28	,	,	PUNCT
cana-6098	127	29	’	'	PUNCT
cana-6098	127	30	neutral	neutral	ADJ
cana-6098	127	31	’	'	PUNCT
cana-6098	127	32	)	)	PUNCT
cana-6098	127	33	along	along	ADP
cana-6098	127	34	with	with	ADP
cana-6098	127	35	their	their	PRON
cana-6098	127	36	confidence	confidence	NOUN
cana-6098	127	37	scores	score	NOUN
cana-6098	127	38	from	from	ADP
cana-6098	127	39	video	video	NOUN
cana-6098	127	40	frames	frame	NOUN
cana-6098	127	41	3.3.2	3.3.2	NUM
cana-6098	127	42	speech	speech	NOUN
cana-6098	127	43	audio	audio	NOUN
cana-6098	127	44	openai	openai	NOUN
cana-6098	127	45	’s	’s	PART
cana-6098	127	46	whisper	whisper	NOUN
cana-6098	127	47	model	model	NOUN
cana-6098	127	48	is	be	AUX
cana-6098	127	49	employed	employ	VERB
cana-6098	127	50	for	for	ADP
cana-6098	127	51	automatic	automatic	ADJ
cana-6098	127	52	speech	speech	NOUN
cana-6098	127	53	recognition	recognition	NOUN
cana-6098	127	54	(	(	PUNCT
cana-6098	127	55	asr	asr	PROPN
cana-6098	127	56	)	)	PUNCT
cana-6098	127	57	,	,	PUNCT
cana-6098	127	58	transcribing	transcribe	VERB
cana-6098	127	59	the	the	DET
cana-6098	127	60	audio	audio	NOUN
cana-6098	127	61	into	into	ADP
cana-6098	127	62	a	a	DET
cana-6098	127	63	complete	complete	ADJ
cana-6098	127	64	textual	textual	ADJ
cana-6098	127	65	transcription	transcription	NOUN
cana-6098	127	66	for	for	ADP
cana-6098	127	67	general	general	ADJ
cana-6098	127	68	audio	audio	ADJ
cana-6098	127	69	analysis	analysis	NOUN
cana-6098	127	70	,	,	PUNCT
cana-6098	127	71	features	feature	NOUN
cana-6098	127	72	extracted	extract	VERB
cana-6098	127	73	can	can	AUX
cana-6098	127	74	include	include	VERB
cana-6098	127	75	energy	energy	NOUN
cana-6098	127	76	density	density	NOUN
cana-6098	127	77	and	and	CCONJ
cana-6098	127	78	mel	mel	PROPN
cana-6098	127	79	spectro	spectro	PROPN
cana-6098	127	80	-	-	PUNCT
cana-6098	127	81	gram	gram	NOUN
cana-6098	127	82	3.3.3	3.3.3	NUM
cana-6098	127	83	transcribed	transcribe	VERB
cana-6098	127	84	text	text	NOUN
cana-6098	127	85	vader	vader	NOUN
cana-6098	127	86	sentiment	sentiment	NOUN
cana-6098	127	87	analysis	analysis	NOUN
cana-6098	127	88	:	:	PUNCT
cana-6098	127	89	the	the	DET
cana-6098	127	90	nltk.sentiment.vader.sentimentintensityanalyzer	nltk.sentiment.vader.sentimentintensityanalyzer	NOUN
cana-6098	127	91	produces	produce	VERB
cana-6098	127	92	polarity	polarity	NOUN
cana-6098	127	93	scores	score	NOUN
cana-6098	127	94	over	over	ADP
cana-6098	127	95	four	four	NUM
cana-6098	127	96	categories	category	NOUN
cana-6098	127	97	:	:	PUNCT
cana-6098	127	98	neg	neg	PROPN
cana-6098	127	99	(	(	PUNCT
cana-6098	127	100	negative	negative	ADJ
cana-6098	127	101	)	)	PUNCT
cana-6098	127	102	,	,	PUNCT
cana-6098	127	103	neu	neu	PROPN
cana-6098	127	104	(	(	PUNCT
cana-6098	127	105	neutral	neutral	ADJ
cana-6098	127	106	)	)	PUNCT
cana-6098	127	107	,	,	PUNCT
cana-6098	128	1	pos	pos	NOUN
cana-6098	128	2	(	(	PUNCT
cana-6098	128	3	positive	positive	ADJ
cana-6098	128	4	)	)	PUNCT
cana-6098	128	5	,	,	PUNCT
cana-6098	128	6	and	and	CCONJ
cana-6098	128	7	a	a	DET
cana-6098	128	8	compound	compound	NOUN
cana-6098	128	9	score	score	NOUN
cana-6098	128	10	.	.	PUNCT
cana-6098	129	1	the	the	DET
cana-6098	129	2	compound	compound	NOUN
cana-6098	129	3	value	value	NOUN
cana-6098	129	4	ranges	range	VERB
cana-6098	129	5	from	from	ADP
cana-6098	129	6	-1	-1	PUNCT
cana-6098	129	7	(	(	PUNCT
cana-6098	129	8	strongly	strongly	ADV
cana-6098	129	9	negative	negative	ADJ
cana-6098	129	10	)	)	PUNCT
cana-6098	129	11	to	to	ADP
cana-6098	129	12	+1	+1	PRON
cana-6098	129	13	(	(	PUNCT
cana-6098	129	14	strongly	strongly	ADV
cana-6098	129	15	positive	positive	ADJ
cana-6098	129	16	)	)	PUNCT
cana-6098	129	17	,	,	PUNCT
cana-6098	129	18	with	with	ADP
cana-6098	129	19	scores	score	NOUN
cana-6098	129	20	between	between	ADP
cana-6098	129	21	-0.5	-0.5	PROPN
cana-6098	129	22	and	and	CCONJ
cana-6098	129	23	0.5	0.5	NUM
cana-6098	129	24	generally	generally	ADV
cana-6098	129	25	considered	consider	VERB
cana-6098	129	26	neutral	neutral	ADJ
cana-6098	129	27	.	.	PUNCT
cana-6098	130	1	vader	vader	NOUN
cana-6098	130	2	is	be	AUX
cana-6098	130	3	a	a	DET
cana-6098	130	4	lexicon	lexicon	ADJ
cana-6098	130	5	and	and	CCONJ
cana-6098	130	6	rule	rule	NOUN
cana-6098	130	7	-	-	PUNCT
cana-6098	130	8	based	base	VERB
cana-6098	130	9	sentiment	sentiment	NOUN
cana-6098	130	10	analysis	analysis	NOUN
cana-6098	130	11	tool	tool	NOUN
cana-6098	130	12	.	.	PUNCT
cana-6098	131	1	lexicon	lexicon	NOUN
cana-6098	131	2	-	-	PUNCT
cana-6098	131	3	based	base	VERB
cana-6098	131	4	scoring	scoring	NOUN
cana-6098	131	5	•	•	DET
cana-6098	131	6	vader	vader	NOUN
cana-6098	131	7	has	have	AUX
cana-6098	131	8	already	already	ADV
cana-6098	131	9	defined	define	VERB
cana-6098	131	10	dictionary	dictionary	ADJ
cana-6098	131	11	(	(	PUNCT
cana-6098	131	12	lexicon	lexicon	NOUN
cana-6098	131	13	)	)	PUNCT
cana-6098	131	14	of	of	ADP
cana-6098	131	15	words	word	NOUN
cana-6098	131	16	,	,	PUNCT
cana-6098	131	17	each	each	PRON
cana-6098	131	18	associated	associate	VERB
cana-6098	131	19	with	with	ADP
cana-6098	131	20	a	a	DET
cana-6098	131	21	valence	valence	NOUN
cana-6098	131	22	score	score	NOUN
cana-6098	131	23	(	(	PUNCT
cana-6098	131	24	ranging	range	VERB
cana-6098	131	25	from	from	ADP
cana-6098	131	26	–	–	PUNCT
cana-6098	131	27	4	4	NUM
cana-6098	131	28	to	to	ADP
cana-6098	131	29	+4	+4	NUM
cana-6098	131	30	)	)	PUNCT
cana-6098	131	31	.	.	PUNCT
cana-6098	132	1	•	•	NUM
cana-6098	132	2	example	example	NOUN
cana-6098	132	3	:	:	PUNCT
cana-6098	132	4	“	"	PUNCT
cana-6098	132	5	great	great	ADJ
cana-6098	132	6	”	"	PUNCT
cana-6098	132	7	=	=	SYM
cana-6098	132	8	+3.1	+3.1	ADJ
cana-6098	132	9	,	,	PUNCT
cana-6098	132	10	“	"	PUNCT
cana-6098	132	11	bad	bad	ADJ
cana-6098	132	12	”	"	PUNCT
cana-6098	132	13	=	=	SYM
cana-6098	132	14	–	–	PUNCT
cana-6098	132	15	2.5	2.5	NUM
cana-6098	132	16	,	,	PUNCT
cana-6098	132	17	“	"	PUNCT
cana-6098	132	18	happy	happy	ADJ
cana-6098	132	19	”	"	PUNCT
cana-6098	132	20	=	=	SYM
cana-6098	132	21	+2.7	+2.7	PROPN
cana-6098	132	22	.	.	PUNCT
cana-6098	132	23	•	•	NUM
cana-6098	132	24	when	when	SCONJ
cana-6098	132	25	analyzing	analyze	VERB
cana-6098	132	26	text	text	NOUN
cana-6098	132	27	,	,	PUNCT
cana-6098	132	28	each	each	DET
cana-6098	132	29	token	token	VERB
cana-6098	132	30	is	be	AUX
cana-6098	132	31	matched	match	VERB
cana-6098	132	32	with	with	ADP
cana-6098	132	33	the	the	DET
cana-6098	132	34	lexicon	lexicon	NOUN
cana-6098	132	35	and	and	CCONJ
cana-6098	132	36	its	its	PRON
cana-6098	132	37	sentiment	sentiment	NOUN
cana-6098	132	38	score	score	NOUN
cana-6098	132	39	is	be	AUX
cana-6098	132	40	retrieved	retrieve	VERB
cana-6098	132	41	.	.	PUNCT
cana-6098	133	1	in	in	ADP
cana-6098	133	2	vader	vader	NOUN
cana-6098	133	3	’s	’s	PART
cana-6098	133	4	lexicon	lexicon	NOUN
cana-6098	133	5	-	-	PUNCT
cana-6098	133	6	based	base	VERB
cana-6098	133	7	scoring	scoring	NOUN
cana-6098	133	8	,	,	PUNCT
cana-6098	133	9	the	the	DET
cana-6098	133	10	algorithm	algorithm	NOUN
cana-6098	133	11	uses	use	VERB
cana-6098	133	12	a	a	DET
cana-6098	133	13	valence	valence	NOUN
cana-6098	133	14	summation	summation	NOUN
cana-6098	133	15	formula	formula	NOUN
cana-6098	133	16	to	to	PART
cana-6098	133	17	combine	combine	VERB
cana-6098	133	18	word	word	NOUN
cana-6098	133	19	-	-	PUNCT
cana-6098	133	20	level	level	NOUN
cana-6098	133	21	sentiment	sentiment	NOUN
cana-6098	133	22	scores	score	NOUN
cana-6098	133	23	into	into	ADP
cana-6098	133	24	a	a	DET
cana-6098	133	25	text	text	NOUN
cana-6098	133	26	-	-	PUNCT
cana-6098	133	27	level	level	NOUN
cana-6098	133	28	score	score	NOUN
cana-6098	133	29	.	.	PUNCT
cana-6098	134	1	communications	communication	NOUN
cana-6098	134	2	on	on	ADP
cana-6098	134	3	applied	apply	VERB
cana-6098	134	4	nonlinear	nonlinear	ADJ
cana-6098	134	5	analysis	analysis	NOUN
cana-6098	134	6	issn	issn	NOUN
cana-6098	134	7	:	:	PUNCT
cana-6098	134	8	1074	1074	NUM
cana-6098	134	9	-	-	PUNCT
cana-6098	134	10	133x	133x	NUM
cana-6098	134	11	vol	vol	VERB
cana-6098	134	12	32	32	NUM
cana-6098	134	13	no	no	NOUN
cana-6098	134	14	.	.	PUNCT
cana-6098	135	1	10s	10	NOUN
cana-6098	135	2	(	(	PUNCT
cana-6098	135	3	2025	2025	NUM
cana-6098	135	4	)	)	PUNCT
cana-6098	135	5	3341	3341	NUM
cana-6098	136	1	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-6098	136	2	m	m	PROPN
cana-6098	136	3	for	for	ADP
cana-6098	136	4	each	each	DET
cana-6098	136	5	token	token	VERB
cana-6098	136	6	w	w	NOUN
cana-6098	136	7	in	in	ADP
cana-6098	136	8	the	the	DET
cana-6098	136	9	text	text	NOUN
cana-6098	136	10	:	:	PUNCT
cana-6098	136	11	valence(w)=score(w)+modifiers−negations+emphasis	valence(w)=score(w)+modifiers−negations+emphasis	NOUN
cana-6098	136	12	all	all	DET
cana-6098	136	13	adjusted	adjust	VERB
cana-6098	136	14	word	word	NOUN
cana-6098	136	15	scores	score	NOUN
cana-6098	136	16	are	be	AUX
cana-6098	136	17	summed	sum	VERB
cana-6098	136	18	up	up	ADP
cana-6098	136	19	where	where	SCONJ
cana-6098	136	20	n	n	NOUN
cana-6098	136	21	=	=	NOUN
cana-6098	136	22	number	number	NOUN
cana-6098	136	23	of	of	ADP
cana-6098	136	24	sentiment	sentiment	NOUN
cana-6098	136	25	-	-	PUNCT
cana-6098	136	26	bearing	bear	VERB
cana-6098	136	27	words	word	NOUN
cana-6098	136	28	.	.	PUNCT
cana-6098	137	1	to	to	PART
cana-6098	137	2	keep	keep	VERB
cana-6098	137	3	the	the	DET
cana-6098	137	4	sentiment	sentiment	NOUN
cana-6098	137	5	score	score	NOUN
cana-6098	137	6	in	in	ADP
cana-6098	137	7	a	a	DET
cana-6098	137	8	bounded	bounded	ADJ
cana-6098	137	9	range	range	NOUN
cana-6098	137	10	(	(	PUNCT
cana-6098	137	11	–	–	PUNCT
cana-6098	137	12	1	1	NUM
cana-6098	137	13	to	to	ADP
cana-6098	137	14	+1	+1	PROPN
cana-6098	137	15	)	)	PUNCT
cana-6098	137	16	,	,	PUNCT
cana-6098	137	17	vader	vader	NOUN
cana-6098	137	18	applies	apply	VERB
cana-6098	137	19	a	a	DET
cana-6098	137	20	normalization	normalization	NOUN
cana-6098	137	21	formula	formula	NOUN
cana-6098	137	22	:	:	PUNCT
cana-6098	137	23	all	all	DET
cana-6098	137	24	adjusted	adjusted	ADJ
cana-6098	137	25	valence	valence	NOUN
cana-6098	137	26	scores	score	NOUN
cana-6098	137	27	are	be	AUX
cana-6098	137	28	summed	sum	VERB
cana-6098	137	29	and	and	CCONJ
cana-6098	137	30	then	then	ADV
cana-6098	137	31	normalized	normalize	VERB
cana-6098	137	32	with	with	ADP
cana-6098	137	33	in	in	ADP
cana-6098	137	34	vader	vader	NOUN
cana-6098	137	35	’s	’s	PART
cana-6098	137	36	rule	rule	NOUN
cana-6098	137	37	-	-	PUNCT
cana-6098	137	38	based	base	VERB
cana-6098	137	39	heuristics	heuristic	NOUN
cana-6098	137	40	,	,	PUNCT
cana-6098	137	41	it	it	PRON
cana-6098	137	42	applies	apply	VERB
cana-6098	137	43	adjustment	adjustment	NOUN
cana-6098	137	44	formulas	formula	NOUN
cana-6098	137	45	depending	depend	VERB
cana-6098	137	46	on	on	ADP
cana-6098	137	47	context	context	NOUN
cana-6098	137	48	(	(	PUNCT
cana-6098	137	49	negation	negation	NOUN
cana-6098	137	50	,	,	PUNCT
cana-6098	137	51	intensifiers	intensifier	NOUN
cana-6098	137	52	,	,	PUNCT
cana-6098	137	53	punctuation	punctuation	NOUN
cana-6098	137	54	,	,	PUNCT
cana-6098	137	55	etc	etc	X
cana-6098	137	56	.	.	X
cana-6098	137	57	)	)	PUNCT
cana-6098	137	58	.	.	PUNCT
cana-6098	138	1	1	1	X
cana-6098	138	2	.	.	NUM
cana-6098	138	3	degree	degree	NOUN
cana-6098	138	4	modifiers	modifier	NOUN
cana-6098	138	5	(	(	PUNCT
cana-6098	138	6	intensifiers	intensifier	NOUN
cana-6098	138	7	/	/	SYM
cana-6098	138	8	dampeners	dampener	NOUN
cana-6098	138	9	)	)	PUNCT
cana-6098	138	10	each	each	DET
cana-6098	138	11	modifier	modifier	NOUN
cana-6098	138	12	word	word	NOUN
cana-6098	138	13	(	(	PUNCT
cana-6098	138	14	e.g.	e.g.	ADV
cana-6098	138	15	,	,	PUNCT
cana-6098	138	16	“	"	PUNCT
cana-6098	138	17	extremely	extremely	ADV
cana-6098	138	18	”	"	PUNCT
cana-6098	138	19	,	,	PUNCT
cana-6098	138	20	“	"	PUNCT
cana-6098	138	21	very	very	ADV
cana-6098	138	22	”	"	PUNCT
cana-6098	138	23	,	,	PUNCT
cana-6098	138	24	“	"	PUNCT
cana-6098	138	25	slightly	slightly	ADV
cana-6098	138	26	”	"	PUNCT
cana-6098	138	27	)	)	PUNCT
cana-6098	138	28	has	have	VERB
cana-6098	138	29	a	a	DET
cana-6098	138	30	scalar	scalar	ADJ
cana-6098	138	31	value	value	NOUN
cana-6098	138	32	in	in	ADP
cana-6098	138	33	the	the	DET
cana-6098	138	34	vader	vader	NOUN
cana-6098	138	35	lexicon	lexicon	NOUN
cana-6098	138	36	.	.	PUNCT
cana-6098	139	1	if	if	SCONJ
cana-6098	139	2	modifier	modifier	NOUN
cana-6098	139	3	precedes	precede	VERB
cana-6098	139	4	a	a	DET
cana-6098	139	5	sentiment	sentiment	NOUN
cana-6098	139	6	word	word	NOUN
cana-6098	139	7	:	:	PUNCT
cana-6098	139	8	2	2	NUM
cana-6098	139	9	.	.	NOUN
cana-6098	139	10	negation	negation	NOUN
cana-6098	139	11	handling	handle	VERB
cana-6098	139	12	if	if	SCONJ
cana-6098	139	13	a	a	DET
cana-6098	139	14	negation	negation	NOUN
cana-6098	139	15	word	word	NOUN
cana-6098	139	16	(	(	PUNCT
cana-6098	139	17	e.g.	e.g.	ADV
cana-6098	139	18	,	,	PUNCT
cana-6098	139	19	“	"	PUNCT
cana-6098	139	20	not	not	PART
cana-6098	139	21	”	"	PUNCT
cana-6098	139	22	,	,	PUNCT
cana-6098	139	23	“	"	PUNCT
cana-6098	139	24	never	never	ADV
cana-6098	139	25	”	"	PUNCT
cana-6098	139	26	,	,	PUNCT
cana-6098	139	27	“	"	PUNCT
cana-6098	139	28	is	be	AUX
cana-6098	139	29	n’t	not	PART
cana-6098	139	30	”	"	PUNCT
cana-6098	139	31	)	)	PUNCT
cana-6098	139	32	occurs	occur	VERB
cana-6098	139	33	within	within	ADP
cana-6098	139	34	3	3	NUM
cana-6098	139	35	tokens	token	NOUN
cana-6098	139	36	before	before	ADP
cana-6098	139	37	a	a	DET
cana-6098	139	38	sentiment	sentiment	NOUN
cana-6098	139	39	word	word	NOUN
cana-6098	139	40	:	:	PUNCT
cana-6098	139	41	communications	communication	NOUN
cana-6098	139	42	on	on	ADP
cana-6098	139	43	applied	apply	VERB
cana-6098	139	44	nonlinear	nonlinear	ADJ
cana-6098	139	45	analysis	analysis	NOUN
cana-6098	139	46	issn	issn	NOUN
cana-6098	139	47	:	:	PUNCT
cana-6098	139	48	1074	1074	NUM
cana-6098	139	49	-	-	PUNCT
cana-6098	139	50	133x	133x	NUM
cana-6098	139	51	vol	vol	VERB
cana-6098	139	52	32	32	NUM
cana-6098	139	53	no	no	NOUN
cana-6098	139	54	.	.	PUNCT
cana-6098	140	1	10s	10	NOUN
cana-6098	140	2	(	(	PUNCT
cana-6098	140	3	2025	2025	NUM
cana-6098	140	4	)	)	PUNCT
cana-6098	140	5	3342	3342	NUM
cana-6098	140	6	https://internationalpubls.co	https://internationalpubls.co	X
cana-6098	140	7	m	m	NOUN
cana-6098	140	8	3	3	NUM
cana-6098	140	9	.	.	PUNCT
cana-6098	140	10	punctuation	punctuation	NOUN
cana-6098	140	11	amplification	amplification	NOUN
cana-6098	140	12	each	each	DET
cana-6098	140	13	exclamation	exclamation	NOUN
cana-6098	140	14	mark	mark	NOUN
cana-6098	140	15	(	(	PUNCT
cana-6098	140	16	!	!	PUNCT
cana-6098	140	17	)	)	PUNCT
cana-6098	140	18	increases	increase	VERB
cana-6098	140	19	intensity	intensity	NOUN
cana-6098	140	20	by	by	ADP
cana-6098	140	21	+0.292	+0.292	NOUN
cana-6098	140	22	,	,	PUNCT
cana-6098	140	23	capped	cap	VERB
cana-6098	140	24	at	at	ADP
cana-6098	140	25	4	4	NUM
cana-6098	140	26	marks	mark	NOUN
cana-6098	140	27	.	.	PUNCT
cana-6098	141	1	4.capitalization	4.capitalization	NUM
cana-6098	141	2	emphasis	emphasis	NOUN
cana-6098	141	3	3.4	3.4	NUM
cana-6098	141	4	classification	classification	NOUN
cana-6098	141	5	3.4.1	3.4.1	NUM
cana-6098	141	6	facial	facial	ADJ
cana-6098	141	7	expressions	expression	NOUN
cana-6098	141	8	the	the	DET
cana-6098	141	9	‘	'	PUNCT
cana-6098	141	10	fer	fer	NOUN
cana-6098	141	11	‘	'	PUNCT
cana-6098	141	12	library	library	NOUN
cana-6098	141	13	integrally	integrally	ADV
cana-6098	141	14	does	do	VERB
cana-6098	141	15	emotion	emotion	VERB
cana-6098	141	16	classification	classification	NOUN
cana-6098	141	17	on	on	ADP
cana-6098	141	18	detected	detect	VERB
cana-6098	141	19	faces	face	NOUN
cana-6098	141	20	,	,	PUNCT
cana-6098	141	21	providing	provide	VERB
cana-6098	141	22	counts	count	NOUN
cana-6098	141	23	of	of	ADP
cana-6098	141	24	various	various	ADJ
cana-6098	141	25	emotions	emotion	NOUN
cana-6098	141	26	3.4.2	3.4.2	NUM
cana-6098	141	27	transcribed	transcribe	VERB
cana-6098	141	28	text	text	NOUN
cana-6098	141	29	sentiment	sentiment	NOUN
cana-6098	141	30	nltk	nltk	PROPN
cana-6098	141	31	vader	vader	PROPN
cana-6098	141	32	sentiment	sentiment	PROPN
cana-6098	141	33	intensity	intensity	NOUN
cana-6098	141	34	analyzer	analyzer	NOUN
cana-6098	141	35	outputs	output	VERB
cana-6098	141	36	polarity	polarity	NOUN
cana-6098	141	37	scores	score	NOUN
cana-6098	141	38	for	for	ADP
cana-6098	141	39	general	general	ADJ
cana-6098	141	40	sentiment	sentiment	NOUN
cana-6098	141	41	.	.	PUNCT
cana-6098	142	1	3.4.3	3.4.3	NUM
cana-6098	142	2	multimodal	multimodal	NOUN
cana-6098	142	3	fusion	fusion	NOUN
cana-6098	142	4	for	for	ADP
cana-6098	142	5	overall	overall	ADJ
cana-6098	142	6	feeling	feeling	NOUN
cana-6098	142	7	/	/	SYM
cana-6098	142	8	stress	stress	VERB
cana-6098	142	9	a	a	DET
cana-6098	142	10	real	real	ADJ
cana-6098	142	11	-	-	PUNCT
cana-6098	142	12	time	time	NOUN
cana-6098	142	13	deep	deep	ADJ
cana-6098	142	14	learning	learning	NOUN
cana-6098	142	15	framework	framework	NOUN
cana-6098	142	16	is	be	AUX
cana-6098	142	17	introduced	introduce	VERB
cana-6098	142	18	for	for	ADP
cana-6098	142	19	analyzing	analyze	VERB
cana-6098	142	20	facial	facial	ADJ
cana-6098	142	21	expressions	expression	NOUN
cana-6098	142	22	.	.	PUNCT
cana-6098	143	1	the	the	DET
cana-6098	143	2	fusion	fusion	NOUN
cana-6098	143	3	approach	approach	NOUN
cana-6098	143	4	employs	employ	VERB
cana-6098	143	5	probability	probability	NOUN
cana-6098	143	6	data	datum	NOUN
cana-6098	143	7	from	from	ADP
cana-6098	143	8	each	each	DET
cana-6098	143	9	modality	modality	NOUN
cana-6098	143	10	’s	’s	PART
cana-6098	143	11	stress	stress	NOUN
cana-6098	143	12	level	level	NOUN
cana-6098	143	13	is	be	AUX
cana-6098	143	14	combined	combine	VERB
cana-6098	143	15	into	into	ADP
cana-6098	143	16	a	a	DET
cana-6098	143	17	stress	stress	NOUN
cana-6098	143	18	information	information	NOUN
cana-6098	143	19	matrix	matrix	NOUN
cana-6098	143	20	.	.	PUNCT
cana-6098	144	1	3.5	3.5	NUM
cana-6098	144	2	fer	fer	PROPN
cana-6098	144	3	algorithm	algorithm	PROPN
cana-6098	144	4	details	detail	NOUN
cana-6098	144	5	the	the	DET
cana-6098	144	6	facial	facial	ADJ
cana-6098	144	7	emotion	emotion	NOUN
cana-6098	144	8	recognition	recognition	NOUN
cana-6098	144	9	system	system	NOUN
cana-6098	144	10	uses	use	VERB
cana-6098	144	11	the	the	DET
cana-6098	144	12	fer	fer	PROPN
cana-6098	144	13	library	library	PROPN
cana-6098	144	14	with	with	ADP
cana-6098	144	15	mtcnn	mtcnn	ADJ
cana-6098	144	16	=	=	NOUN
cana-6098	144	17	true	true	ADJ
cana-6098	144	18	enabled	enable	VERB
cana-6098	144	19	to	to	PART
cana-6098	144	20	guarantee	guarantee	VERB
cana-6098	144	21	reliable	reliable	ADJ
cana-6098	144	22	face	face	NOUN
cana-6098	144	23	detection	detection	NOUN
cana-6098	144	24	in	in	ADP
cana-6098	144	25	video	video	NOUN
cana-6098	144	26	frames	frame	NOUN
cana-6098	144	27	.	.	PUNCT
cana-6098	145	1	1	1	X
cana-6098	145	2	.	.	X
cana-6098	145	3	video	video	NOUN
cana-6098	145	4	processing	processing	NOUN
cana-6098	145	5	:	:	PUNCT
cana-6098	145	6	the	the	DET
cana-6098	145	7	system	system	NOUN
cana-6098	145	8	gets	get	VERB
cana-6098	145	9	a	a	DET
cana-6098	145	10	video	video	NOUN
cana-6098	145	11	file	file	NOUN
cana-6098	145	12	and	and	CCONJ
cana-6098	145	13	processes	process	NOUN
cana-6098	145	14	it	it	PRON
cana-6098	145	15	frame	frame	VERB
cana-6098	145	16	by	by	ADP
cana-6098	145	17	frame	frame	NOUN
cana-6098	145	18	.	.	PUNCT
cana-6098	146	1	2	2	X
cana-6098	146	2	.	.	X
cana-6098	146	3	face	face	NOUN
cana-6098	146	4	detection	detection	NOUN
cana-6098	146	5	:	:	PUNCT
cana-6098	146	6	for	for	ADP
cana-6098	146	7	each	each	DET
cana-6098	146	8	frame	frame	NOUN
cana-6098	146	9	,	,	PUNCT
cana-6098	146	10	the	the	DET
cana-6098	146	11	emotiondetector.detect_emotions	emotiondetector.detect_emotion	NOUN
cana-6098	146	12	(	(	PUNCT
cana-6098	146	13	frame	frame	NOUN
cana-6098	146	14	)	)	PUNCT
cana-6098	146	15	function	function	NOUN
cana-6098	146	16	is	be	AUX
cana-6098	146	17	applied	apply	VERB
cana-6098	146	18	to	to	PART
cana-6098	146	19	locate	locate	ADJ
cana-6098	146	20	faces	face	NOUN
cana-6098	146	21	.	.	PUNCT
cana-6098	147	1	3	3	X
cana-6098	147	2	.	.	X
cana-6098	147	3	emotion	emotion	NOUN
cana-6098	147	4	classification	classification	NOUN
cana-6098	147	5	:	:	PUNCT
cana-6098	147	6	using	use	VERB
cana-6098	147	7	an	an	DET
cana-6098	147	8	fer	fer	PROPN
cana-6098	147	9	model	model	NOUN
cana-6098	147	10	,	,	PUNCT
cana-6098	147	11	typically	typically	ADV
cana-6098	147	12	skilled	skilled	ADJ
cana-6098	147	13	on	on	ADP
cana-6098	147	14	rgb	rgb	PROPN
cana-6098	147	15	images	image	NOUN
cana-6098	147	16	,	,	PUNCT
cana-6098	147	17	the	the	DET
cana-6098	147	18	noticed	notice	VERB
cana-6098	147	19	faces	face	NOUN
cana-6098	147	20	are	be	AUX
cana-6098	147	21	classified	classify	VERB
cana-6098	147	22	into	into	ADP
cana-6098	147	23	emotions	emotion	NOUN
cana-6098	147	24	such	such	ADJ
cana-6098	147	25	as	as	ADP
cana-6098	147	26	sad	sad	ADJ
cana-6098	147	27	,	,	PUNCT
cana-6098	147	28	angry	angry	ADJ
cana-6098	147	29	,	,	PUNCT
cana-6098	147	30	or	or	CCONJ
cana-6098	147	31	neutral	neutral	ADJ
cana-6098	147	32	,	,	PUNCT
cana-6098	147	33	with	with	ADP
cana-6098	147	34	corresponding	correspond	VERB
cana-6098	147	35	confidence	confidence	NOUN
cana-6098	147	36	scores	score	NOUN
cana-6098	147	37	.	.	PUNCT
cana-6098	148	1	4	4	X
cana-6098	148	2	.	.	X
cana-6098	148	3	aggregation	aggregation	NOUN
cana-6098	148	4	:	:	PUNCT
cana-6098	148	5	after	after	ADP
cana-6098	148	6	examination	examination	NOUN
cana-6098	148	7	,	,	PUNCT
cana-6098	148	8	the	the	DET
cana-6098	148	9	system	system	NOUN
cana-6098	148	10	defines	define	VERB
cana-6098	148	11	the	the	DET
cana-6098	148	12	most	most	ADV
cana-6098	148	13	assured	assured	ADJ
cana-6098	148	14	prediction	prediction	NOUN
cana-6098	148	15	per	per	ADP
cana-6098	148	16	detection	detection	NOUN
cana-6098	148	17	and	and	CCONJ
cana-6098	148	18	tallies	tally	NOUN
cana-6098	148	19	the	the	DET
cana-6098	148	20	frequency	frequency	NOUN
cana-6098	148	21	of	of	ADP
cana-6098	148	22	each	each	DET
cana-6098	148	23	primary	primary	ADJ
cana-6098	148	24	emotion	emotion	NOUN
cana-6098	148	25	(	(	PUNCT
cana-6098	148	26	e.g.	e.g.	ADV
cana-6098	148	27	,	,	PUNCT
cana-6098	148	28	38	38	NUM
cana-6098	148	29	sad	sad	ADJ
cana-6098	148	30	,	,	PUNCT
cana-6098	148	31	130	130	NUM
cana-6098	148	32	angry	angry	ADJ
cana-6098	148	33	,	,	PUNCT
cana-6098	148	34	10	10	NUM
cana-6098	148	35	neutral	neutral	ADJ
cana-6098	148	36	in	in	ADP
cana-6098	148	37	one	one	NUM
cana-6098	148	38	case	case	NOUN
cana-6098	148	39	)	)	PUNCT
cana-6098	148	40	.	.	PUNCT
cana-6098	149	1	facial	facial	ADJ
cana-6098	149	2	signals	signal	NOUN
cana-6098	149	3	serve	serve	VERB
cana-6098	149	4	as	as	ADP
cana-6098	149	5	crucial	crucial	ADJ
cana-6098	149	6	indicators	indicator	NOUN
cana-6098	149	7	of	of	ADP
cana-6098	149	8	stress	stress	NOUN
cana-6098	149	9	and	and	CCONJ
cana-6098	149	10	emotional	emotional	ADJ
cana-6098	149	11	conditions	condition	NOUN
cana-6098	149	12	.	.	PUNCT
cana-6098	150	1	communications	communication	NOUN
cana-6098	150	2	on	on	ADP
cana-6098	150	3	applied	apply	VERB
cana-6098	150	4	nonlinear	nonlinear	ADJ
cana-6098	150	5	analysis	analysis	NOUN
cana-6098	150	6	issn	issn	NOUN
cana-6098	150	7	:	:	PUNCT
cana-6098	150	8	1074	1074	NUM
cana-6098	150	9	-	-	PUNCT
cana-6098	150	10	133x	133x	NUM
cana-6098	150	11	vol	vol	VERB
cana-6098	150	12	32	32	NUM
cana-6098	150	13	no	no	NOUN
cana-6098	150	14	.	.	PUNCT
cana-6098	151	1	10s	10	NOUN
cana-6098	151	2	(	(	PUNCT
cana-6098	151	3	2025	2025	NUM
cana-6098	151	4	)	)	PUNCT
cana-6098	151	5	3343	3343	NUM
cana-6098	152	1	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-6098	152	2	m	m	PROPN
cana-6098	152	3	it	it	PRON
cana-6098	152	4	combines	combine	VERB
cana-6098	152	5	cnn(convolutional	cnn(convolutional	ADJ
cana-6098	152	6	neural	neural	ADJ
cana-6098	152	7	network	network	NOUN
cana-6098	152	8	)	)	PUNCT
cana-6098	152	9	for	for	ADP
cana-6098	152	10	extracting	extract	VERB
cana-6098	152	11	spatial	spatial	ADJ
cana-6098	152	12	features	feature	NOUN
cana-6098	152	13	from	from	ADP
cana-6098	152	14	images	image	NOUN
cana-6098	152	15	(	(	PUNCT
cana-6098	152	16	edges	edge	NOUN
cana-6098	152	17	,	,	PUNCT
cana-6098	152	18	textures	texture	NOUN
cana-6098	152	19	,	,	PUNCT
cana-6098	152	20	facial	facial	ADJ
cana-6098	152	21	landmarks	landmark	NOUN
cana-6098	152	22	,	,	PUNCT
cana-6098	152	23	etc	etc	X
cana-6098	152	24	.	.	X
cana-6098	152	25	)	)	PUNCT
cana-6098	152	26	and	and	CCONJ
cana-6098	152	27	rnn	rnn	NOUN
cana-6098	152	28	(	(	PUNCT
cana-6098	152	29	recurrent	recurrent	ADJ
cana-6098	152	30	neural	neural	ADJ
cana-6098	152	31	network	network	NOUN
cana-6098	152	32	)	)	PUNCT
cana-6098	152	33	for	for	ADP
cana-6098	152	34	video	video	NOUN
cana-6098	152	35	fer	fer	PROPN
cana-6098	152	36	→	→	SYM
cana-6098	152	37	captures	capture	VERB
cana-6098	152	38	how	how	SCONJ
cana-6098	152	39	expressions	expression	NOUN
cana-6098	152	40	change	change	VERB
cana-6098	152	41	over	over	ADP
cana-6098	152	42	time	time	NOUN
cana-6098	152	43	(	(	PUNCT
cana-6098	152	44	e.g.	e.g.	ADV
cana-6098	152	45	,	,	PUNCT
cana-6098	152	46	a	a	DET
cana-6098	152	47	smile	smile	NOUN
cana-6098	152	48	forming	form	VERB
cana-6098	152	49	,	,	PUNCT
cana-6098	152	50	eyebrows	eyebrow	VERB
cana-6098	152	51	raising	raise	VERB
cana-6098	152	52	)	)	PUNCT
cana-6098	152	53	.	.	PUNCT
cana-6098	153	1	figure	figure	VERB
cana-6098	153	2	3	3	NUM
cana-6098	153	3	:	:	PUNCT
cana-6098	153	4	cnn	cnn	PROPN
cana-6098	153	5	&	&	CCONJ
cana-6098	153	6	rnn	rnn	PROPN
cana-6098	153	7	for	for	ADP
cana-6098	153	8	fer	fer	PROPN
cana-6098	153	9	3.6	3.6	NUM
cana-6098	153	10	fusion	fusion	NOUN
cana-6098	153	11	algorithm	algorithm	NOUN
cana-6098	153	12	details	detail	NOUN
cana-6098	153	13	figure	figure	VERB
cana-6098	153	14	4	4	NUM
cana-6098	153	15	illustrates	illustrate	VERB
cana-6098	153	16	the	the	DET
cana-6098	153	17	basic	basic	ADJ
cana-6098	153	18	structure	structure	NOUN
cana-6098	153	19	of	of	ADP
cana-6098	153	20	the	the	DET
cana-6098	153	21	multimodal	multimodal	NOUN
cana-6098	153	22	system	system	NOUN
cana-6098	153	23	.	.	PUNCT
cana-6098	154	1	in	in	ADP
cana-6098	154	2	multimodality	multimodality	NOUN
cana-6098	154	3	,	,	PUNCT
cana-6098	154	4	the	the	DET
cana-6098	154	5	process	process	NOUN
cana-6098	154	6	of	of	ADP
cana-6098	154	7	combining	combine	VERB
cana-6098	154	8	data	datum	NOUN
cana-6098	154	9	from	from	ADP
cana-6098	154	10	two	two	NUM
cana-6098	154	11	or	or	CCONJ
cana-6098	154	12	more	more	ADJ
cana-6098	154	13	modalities	modality	NOUN
cana-6098	154	14	to	to	PART
cana-6098	154	15	perform	perform	VERB
cana-6098	154	16	prediction	prediction	NOUN
cana-6098	154	17	,	,	PUNCT
cana-6098	154	18	classification	classification	NOUN
cana-6098	154	19	,	,	PUNCT
cana-6098	154	20	or	or	CCONJ
cana-6098	154	21	regression	regression	NOUN
cana-6098	154	22	is	be	AUX
cana-6098	154	23	referred	refer	VERB
cana-6098	154	24	to	to	ADP
cana-6098	154	25	as	as	ADP
cana-6098	154	26	fusion	fusion	NOUN
cana-6098	154	27	.	.	PUNCT
cana-6098	155	1	the	the	DET
cana-6098	155	2	multimodal	multimodal	ADJ
cana-6098	155	3	data	datum	NOUN
cana-6098	155	4	fusion	fusion	NOUN
cana-6098	155	5	approach	approach	NOUN
cana-6098	155	6	is	be	AUX
cana-6098	155	7	defined	define	VERB
cana-6098	155	8	by	by	ADP
cana-6098	155	9	the	the	DET
cana-6098	155	10	stage	stage	NOUN
cana-6098	155	11	in	in	ADP
cana-6098	155	12	the	the	DET
cana-6098	155	13	network	network	NOUN
cana-6098	155	14	where	where	SCONJ
cana-6098	155	15	the	the	DET
cana-6098	155	16	input	input	NOUN
cana-6098	155	17	modalities	modality	NOUN
cana-6098	155	18	are	be	AUX
cana-6098	155	19	merged	merge	VERB
cana-6098	155	20	,	,	PUNCT
cana-6098	155	21	which	which	PRON
cana-6098	155	22	can	can	AUX
cana-6098	155	23	occur	occur	VERB
cana-6098	155	24	at	at	ADP
cana-6098	155	25	early	early	ADJ
cana-6098	155	26	,	,	PUNCT
cana-6098	155	27	intermediate	intermediate	ADJ
cana-6098	155	28	,	,	PUNCT
cana-6098	155	29	or	or	CCONJ
cana-6098	155	30	late	late	ADJ
cana-6098	155	31	levels	level	NOUN
cana-6098	155	32	.	.	PUNCT
cana-6098	156	1	figure-4	figure-4	NUM
cana-6098	156	2	4	4	NUM
cana-6098	156	3	.	.	PUNCT
cana-6098	156	4	experimental	experimental	ADJ
cana-6098	156	5	setup	setup	NOUN
cana-6098	156	6	the	the	DET
cana-6098	156	7	system	system	NOUN
cana-6098	156	8	is	be	AUX
cana-6098	156	9	developed	develop	VERB
cana-6098	156	10	and	and	CCONJ
cana-6098	156	11	assessed	assess	VERB
cana-6098	156	12	within	within	ADP
cana-6098	156	13	a	a	DET
cana-6098	156	14	dedicated	dedicated	ADJ
cana-6098	156	15	video	video	NOUN
cana-6098	156	16	conferencing	conferencing	NOUN
cana-6098	156	17	analysis	analysis	NOUN
cana-6098	156	18	setting	set	VERB
cana-6098	156	19	,	,	PUNCT
cana-6098	156	20	while	while	SCONJ
cana-6098	156	21	also	also	ADV
cana-6098	156	22	incorporating	incorporate	VERB
cana-6098	156	23	broader	broad	ADJ
cana-6098	156	24	experimental	experimental	ADJ
cana-6098	156	25	insights	insight	NOUN
cana-6098	156	26	from	from	ADP
cana-6098	156	27	related	related	ADJ
cana-6098	156	28	studies	study	NOUN
cana-6098	156	29	.	.	PUNCT
cana-6098	157	1	video	video	NOUN
cana-6098	157	2	audio	audio	NOUN
cana-6098	157	3	images	image	NOUN
cana-6098	157	4	text	text	NOUN
cana-6098	157	5	fusion	fusion	NOUN
cana-6098	157	6	decision	decision	NOUN
cana-6098	157	7	communications	communication	NOUN
cana-6098	157	8	on	on	ADP
cana-6098	157	9	applied	apply	VERB
cana-6098	157	10	nonlinear	nonlinear	ADJ
cana-6098	157	11	analysis	analysis	NOUN
cana-6098	157	12	issn	issn	NOUN
cana-6098	157	13	:	:	PUNCT
cana-6098	157	14	1074	1074	NUM
cana-6098	157	15	-	-	PUNCT
cana-6098	157	16	133x	133x	NUM
cana-6098	157	17	vol	vol	VERB
cana-6098	157	18	32	32	NUM
cana-6098	157	19	no	no	NOUN
cana-6098	157	20	.	.	PUNCT
cana-6098	158	1	10s	10	NOUN
cana-6098	158	2	(	(	PUNCT
cana-6098	158	3	2025	2025	NUM
cana-6098	158	4	)	)	PUNCT
cana-6098	158	5	3344	3344	NUM
cana-6098	158	6	https://internationalpubls.co	https://internationalpubls.co	X
cana-6098	158	7	m	m	NOUN
cana-6098	158	8	4.1	4.1	NUM
cana-6098	158	9	data	datum	NOUN
cana-6098	158	10	sources	source	NOUN
cana-6098	158	11	4.1.1	4.1.1	NUM
cana-6098	158	12	video	video	NOUN
cana-6098	158	13	conference	conference	NOUN
cana-6098	158	14	data	datum	NOUN
cana-6098	158	15	(	(	PUNCT
cana-6098	158	16	primary	primary	ADJ
cana-6098	158	17	notebook	notebook	NOUN
cana-6098	158	18	focus	focus	NOUN
cana-6098	158	19	)	)	PUNCT
cana-6098	158	20	the	the	DET
cana-6098	158	21	primary	primary	ADJ
cana-6098	158	22	input	input	NOUN
cana-6098	158	23	for	for	ADP
cana-6098	158	24	facial	facial	ADJ
cana-6098	158	25	emotion	emotion	NOUN
cana-6098	158	26	recognition	recognition	NOUN
cana-6098	158	27	and	and	CCONJ
cana-6098	158	28	audio	audio	NOUN
cana-6098	158	29	transcription	transcription	NOUN
cana-6098	158	30	is	be	AUX
cana-6098	158	31	a	a	DET
cana-6098	158	32	video	video	NOUN
cana-6098	158	33	file	file	NOUN
cana-6098	158	34	.	.	PUNCT
cana-6098	159	1	4.1.2	4.1.2	NUM
cana-6098	159	2	microsoft	microsoft	PROPN
cana-6098	159	3	fer	fer	PROPN
cana-6098	159	4	+	+	CCONJ
cana-6098	159	5	fer+	fer+	PROPN
cana-6098	159	6	is	be	AUX
cana-6098	159	7	an	an	DET
cana-6098	159	8	updated	update	VERB
cana-6098	159	9	and	and	CCONJ
cana-6098	159	10	extended	extended	ADJ
cana-6098	159	11	version	version	NOUN
cana-6098	159	12	of	of	ADP
cana-6098	159	13	the	the	DET
cana-6098	159	14	original	original	ADJ
cana-6098	159	15	fer2013	fer2013	ADJ
cana-6098	159	16	dataset	dataset	NOUN
cana-6098	159	17	.	.	PUNCT
cana-6098	160	1	with	with	ADP
cana-6098	160	2	refined	refined	ADJ
cana-6098	160	3	labeling	labeling	NOUN
cana-6098	160	4	,	,	PUNCT
cana-6098	160	5	it	it	PRON
cana-6098	160	6	offers	offer	VERB
cana-6098	160	7	more	more	ADV
cana-6098	160	8	reliable	reliable	ADJ
cana-6098	160	9	ground	ground	NOUN
cana-6098	160	10	truth	truth	NOUN
cana-6098	160	11	for	for	ADP
cana-6098	160	12	building	building	NOUN
cana-6098	160	13	and	and	CCONJ
cana-6098	160	14	evaluating	evaluate	VERB
cana-6098	160	15	facial	facial	ADJ
cana-6098	160	16	emotion	emotion	NOUN
cana-6098	160	17	recognition	recognition	NOUN
cana-6098	160	18	models	model	NOUN
cana-6098	160	19	.	.	PUNCT
cana-6098	161	1	4.2	4.2	NUM
cana-6098	161	2	model	model	NOUN
cana-6098	161	3	configuration	configuration	NOUN
cana-6098	161	4	4.2.1	4.2.1	NUM
cana-6098	161	5	fer	fer	PROPN
cana-6098	161	6	model	model	NOUN
cana-6098	161	7	for	for	ADP
cana-6098	161	8	face	face	NOUN
cana-6098	161	9	detection	detection	NOUN
cana-6098	161	10	and	and	CCONJ
cana-6098	161	11	alignment	alignment	NOUN
cana-6098	161	12	,	,	PUNCT
cana-6098	161	13	the	the	DET
cana-6098	161	14	facial	facial	ADJ
cana-6098	161	15	emotion	emotion	NOUN
cana-6098	161	16	recognition	recognition	NOUN
cana-6098	161	17	(	(	PUNCT
cana-6098	161	18	fer	fer	PROPN
cana-6098	161	19	)	)	PUNCT
cana-6098	161	20	library	library	NOUN
cana-6098	161	21	is	be	AUX
cana-6098	161	22	initialized	initialize	VERB
cana-6098	161	23	with	with	ADP
cana-6098	161	24	mtcnn	mtcnn	NOUN
cana-6098	161	25	=	=	NOUN
cana-6098	161	26	true	true	ADJ
cana-6098	161	27	,	,	PUNCT
cana-6098	161	28	enabling	enable	VERB
cana-6098	161	29	the	the	DET
cana-6098	161	30	use	use	NOUN
cana-6098	161	31	of	of	ADP
cana-6098	161	32	multi	multi	ADJ
cana-6098	161	33	-	-	ADJ
cana-6098	161	34	task	task	ADJ
cana-6098	161	35	cascaded	cascade	VERB
cana-6098	161	36	convolutional	convolutional	ADJ
cana-6098	161	37	networks	network	NOUN
cana-6098	161	38	(	(	PUNCT
cana-6098	161	39	mtcnn	mtcnn	PROPN
cana-6098	161	40	)	)	PUNCT
cana-6098	161	41	.	.	PUNCT
cana-6098	162	1	4.2.2	4.2.2	NUM
cana-6098	162	2	whisper	whisper	NOUN
cana-6098	162	3	model	model	NOUN
cana-6098	162	4	the	the	DET
cana-6098	162	5	system	system	NOUN
cana-6098	162	6	employs	employ	VERB
cana-6098	162	7	openai	openai	PROPN
cana-6098	162	8	’s	’s	PART
cana-6098	162	9	whisper	whisper	NOUN
cana-6098	162	10	model	model	NOUN
cana-6098	162	11	,	,	PUNCT
cana-6098	162	12	specifically	specifically	ADV
cana-6098	162	13	the	the	DET
cana-6098	162	14	“	"	PUNCT
cana-6098	162	15	large	large	ADJ
cana-6098	162	16	”	"	PUNCT
cana-6098	162	17	variant	variant	NOUN
cana-6098	162	18	,	,	PUNCT
cana-6098	162	19	for	for	ADP
cana-6098	162	20	automatic	automatic	ADJ
cana-6098	162	21	speech	speech	NOUN
cana-6098	162	22	recognition	recognition	NOUN
cana-6098	162	23	(	(	PUNCT
cana-6098	162	24	asr	asr	PROPN
cana-6098	162	25	)	)	PUNCT
cana-6098	162	26	.	.	PUNCT
cana-6098	163	1	whisper	whisper	NOUN
cana-6098	163	2	is	be	AUX
cana-6098	163	3	a	a	DET
cana-6098	163	4	convolutional	convolutional	ADJ
cana-6098	163	5	transformer	transformer	NOUN
cana-6098	163	6	-	-	PUNCT
cana-6098	163	7	based	base	VERB
cana-6098	163	8	end	end	NOUN
cana-6098	163	9	-	-	PUNCT
cana-6098	163	10	to	to	ADP
cana-6098	163	11	-	-	PUNCT
cana-6098	163	12	end	end	NOUN
cana-6098	163	13	asr	asr	NOUN
cana-6098	163	14	model	model	NOUN
cana-6098	163	15	.	.	PUNCT
cana-6098	164	1	other	other	ADJ
cana-6098	164	2	versions	version	NOUN
cana-6098	164	3	,	,	PUNCT
cana-6098	164	4	such	such	ADJ
cana-6098	164	5	as	as	ADP
cana-6098	164	6	“	"	PUNCT
cana-6098	164	7	base	base	NOUN
cana-6098	164	8	,	,	PUNCT
cana-6098	164	9	”	"	PUNCT
cana-6098	164	10	“	"	PUNCT
cana-6098	164	11	medium	medium	ADJ
cana-6098	164	12	,	,	PUNCT
cana-6098	164	13	”	"	PUNCT
cana-6098	164	14	and	and	CCONJ
cana-6098	164	15	“	"	PUNCT
cana-6098	164	16	large	large	ADJ
cana-6098	164	17	-	-	PUNCT
cana-6098	164	18	v2	v2	NOUN
cana-6098	164	19	,	,	PUNCT
cana-6098	164	20	”	"	PUNCT
cana-6098	164	21	have	have	AUX
cana-6098	164	22	also	also	ADV
cana-6098	164	23	been	be	AUX
cana-6098	164	24	utilized	utilize	VERB
cana-6098	164	25	for	for	ADP
cana-6098	164	26	tasks	task	NOUN
cana-6098	164	27	like	like	ADP
cana-6098	164	28	language	language	NOUN
cana-6098	164	29	diarization	diarization	NOUN
cana-6098	164	30	and	and	CCONJ
cana-6098	164	31	fine	fine	ADV
cana-6098	164	32	-	-	PUNCT
cana-6098	164	33	tuning	tuning	NOUN
cana-6098	164	34	.	.	PUNCT
cana-6098	165	1	4.2.3	4.2.3	NUM
cana-6098	165	2	sentiment	sentiment	NOUN
cana-6098	165	3	analysis	analysis	NOUN
cana-6098	165	4	algorithms	algorithm	NOUN
cana-6098	165	5	nltk	nltk	PROPN
cana-6098	165	6	vader	vader	PROPN
cana-6098	165	7	sentiment	sentiment	PROPN
cana-6098	165	8	analysis	analysis	NOUN
cana-6098	165	9	:	:	PUNCT
cana-6098	165	10	uses	use	VERB
cana-6098	165	11	nltk.sentiment.vader.sentimentintensityanalyzer	nltk.sentiment.vader.sentimentintensityanalyzer	PRON
cana-6098	165	12	to	to	PART
cana-6098	165	13	generate	generate	VERB
cana-6098	165	14	polarity	polarity	NOUN
cana-6098	165	15	scores	score	NOUN
cana-6098	165	16	,	,	PUNCT
cana-6098	165	17	including	include	VERB
cana-6098	165	18	neg	neg	PROPN
cana-6098	165	19	,	,	PUNCT
cana-6098	165	20	neu	neu	PROPN
cana-6098	165	21	,	,	PUNCT
cana-6098	165	22	pos	pos	NOUN
cana-6098	165	23	,	,	PUNCT
cana-6098	165	24	and	and	CCONJ
cana-6098	165	25	compound	compound	NOUN
cana-6098	165	26	.	.	PUNCT
cana-6098	166	1	4.2.4	4.2.4	NUM
cana-6098	166	2	tone	tone	NOUN
cana-6098	166	3	analysis	analysis	NOUN
cana-6098	166	4	algorithm	algorithm	NOUN
cana-6098	166	5	-	-	PUNCT
cana-6098	166	6	radial	radial	ADJ
cana-6098	166	7	basis	basis	NOUN
cana-6098	166	8	function	function	NOUN
cana-6098	166	9	support	support	NOUN
cana-6098	166	10	vector	vector	NOUN
cana-6098	166	11	machine	machine	NOUN
cana-6098	166	12	(	(	PUNCT
cana-6098	166	13	rbf	rbf	PROPN
cana-6098	166	14	svm	svm	PROPN
cana-6098	166	15	)	)	PUNCT
cana-6098	166	16	the	the	DET
cana-6098	166	17	radial	radial	ADJ
cana-6098	166	18	basis	basis	NOUN
cana-6098	166	19	function	function	NOUN
cana-6098	166	20	support	support	NOUN
cana-6098	166	21	vector	vector	NOUN
cana-6098	166	22	machine	machine	NOUN
cana-6098	166	23	(	(	PUNCT
cana-6098	166	24	rbf	rbf	PROPN
cana-6098	166	25	svm	svm	PROPN
cana-6098	166	26	)	)	PUNCT
cana-6098	166	27	is	be	AUX
cana-6098	166	28	a	a	DET
cana-6098	166	29	robust	robust	ADJ
cana-6098	166	30	machine	machine	NOUN
cana-6098	166	31	learning	learn	VERB
cana-6098	166	32	algorithm	algorithm	NOUN
cana-6098	166	33	suitable	suitable	ADJ
cana-6098	166	34	for	for	ADP
cana-6098	166	35	both	both	CCONJ
cana-6098	166	36	classification	classification	NOUN
cana-6098	166	37	and	and	CCONJ
cana-6098	166	38	regression	regression	NOUN
cana-6098	166	39	tasks	task	NOUN
cana-6098	166	40	.	.	PUNCT
cana-6098	167	1	as	as	ADP
cana-6098	167	2	a	a	DET
cana-6098	167	3	non	non	ADJ
cana-6098	167	4	-	-	ADJ
cana-6098	167	5	parametric	parametric	ADJ
cana-6098	167	6	model	model	NOUN
cana-6098	167	7	,	,	PUNCT
cana-6098	167	8	it	it	PRON
cana-6098	167	9	is	be	AUX
cana-6098	167	10	particularly	particularly	ADV
cana-6098	167	11	effective	effective	ADJ
cana-6098	167	12	when	when	SCONJ
cana-6098	167	13	dealing	deal	VERB
cana-6098	167	14	with	with	ADP
cana-6098	167	15	non	non	ADJ
cana-6098	167	16	-	-	ADJ
cana-6098	167	17	linear	linear	ADJ
cana-6098	167	18	and	and	CCONJ
cana-6098	167	19	high	high	ADJ
cana-6098	167	20	-	-	PUNCT
cana-6098	167	21	dimensional	dimensional	ADJ
cana-6098	167	22	data	datum	NOUN
cana-6098	167	23	.	.	PUNCT
cana-6098	168	1	5	5	X
cana-6098	168	2	.	.	X
cana-6098	168	3	results	result	VERB
cana-6098	168	4	the	the	DET
cana-6098	168	5	system	system	NOUN
cana-6098	168	6	produces	produce	VERB
cana-6098	168	7	a	a	DET
cana-6098	168	8	comprehensive	comprehensive	ADJ
cana-6098	168	9	assessment	assessment	NOUN
cana-6098	168	10	of	of	ADP
cana-6098	168	11	employee	employee	NOUN
cana-6098	168	12	feeling	feel	VERB
cana-6098	168	13	states	state	NOUN
cana-6098	168	14	through	through	ADP
cana-6098	168	15	the	the	DET
cana-6098	168	16	analysis	analysis	NOUN
cana-6098	168	17	of	of	ADP
cana-6098	168	18	multiple	multiple	ADJ
cana-6098	168	19	modalities	modality	NOUN
cana-6098	168	20	.	.	PUNCT
cana-6098	169	1	the	the	DET
cana-6098	169	2	results	result	NOUN
cana-6098	169	3	are	be	AUX
cana-6098	169	4	quantified	quantify	VERB
cana-6098	169	5	using	use	VERB
cana-6098	169	6	various	various	ADJ
cana-6098	169	7	performance	performance	NOUN
cana-6098	169	8	metrics	metric	NOUN
cana-6098	169	9	.	.	PUNCT
cana-6098	170	1	5.1	5.1	NUM
cana-6098	170	2	facial	facial	ADJ
cana-6098	170	3	emotion	emotion	NOUN
cana-6098	170	4	recognition	recognition	NOUN
cana-6098	170	5	results	result	VERB
cana-6098	170	6	from	from	ADP
cana-6098	170	7	video	video	NOUN
cana-6098	170	8	analysis	analysis	NOUN
cana-6098	170	9	,	,	PUNCT
cana-6098	170	10	the	the	DET
cana-6098	170	11	‘	'	PUNCT
cana-6098	170	12	fer	fer	NOUN
cana-6098	170	13	‘	'	PUNCT
cana-6098	170	14	library	library	NOUN
cana-6098	170	15	provides	provide	VERB
cana-6098	170	16	counts	count	NOUN
cana-6098	170	17	of	of	ADP
cana-6098	170	18	detected	detect	VERB
cana-6098	170	19	primary	primary	ADJ
cana-6098	170	20	emotions	emotion	NOUN
cana-6098	170	21	and	and	CCONJ
cana-6098	170	22	their	their	PRON
cana-6098	170	23	confidence	confidence	NOUN
cana-6098	170	24	scores	score	VERB
cana-6098	170	25	communications	communication	NOUN
cana-6098	170	26	on	on	ADP
cana-6098	170	27	applied	apply	VERB
cana-6098	170	28	nonlinear	nonlinear	ADJ
cana-6098	170	29	analysis	analysis	NOUN
cana-6098	170	30	issn	issn	NOUN
cana-6098	170	31	:	:	PUNCT
cana-6098	170	32	1074	1074	NUM
cana-6098	170	33	-	-	PUNCT
cana-6098	170	34	133x	133x	NUM
cana-6098	170	35	vol	vol	VERB
cana-6098	170	36	32	32	NUM
cana-6098	170	37	no	no	NOUN
cana-6098	170	38	.	.	PUNCT
cana-6098	171	1	10s	10	NOUN
cana-6098	171	2	(	(	PUNCT
cana-6098	171	3	2025	2025	NUM
cana-6098	171	4	)	)	PUNCT
cana-6098	171	5	3345	3345	NUM
cana-6098	172	1	https://internationalpubls.co	https://internationalpubls.co	X
cana-6098	172	2	m	m	NOUN
cana-6098	172	3	figure-5	figure-5	NUM
cana-6098	172	4	above	above	ADP
cana-6098	172	5	result	result	NOUN
cana-6098	172	6	shows	show	VERB
cana-6098	172	7	occurrences	occurrence	NOUN
cana-6098	172	8	like	like	ADP
cana-6098	172	9	38	38	NUM
cana-6098	172	10	’	'	PUNCT
cana-6098	172	11	sad	sad	ADJ
cana-6098	172	12	’	'	PUNCT
cana-6098	172	13	,	,	PUNCT
cana-6098	172	14	130	130	NUM
cana-6098	172	15	’	'	PUNCT
cana-6098	172	16	angry	angry	ADJ
cana-6098	172	17	’	'	PUNCT
cana-6098	172	18	,	,	PUNCT
cana-6098	172	19	and	and	CCONJ
cana-6098	172	20	10	10	NUM
cana-6098	172	21	’	'	PUNCT
cana-6098	172	22	neutral	neutral	ADJ
cana-6098	172	23	’	'	PUNCT
cana-6098	172	24	detections	detection	NOUN
cana-6098	172	25	,	,	PUNCT
cana-6098	172	26	offering	offer	VERB
cana-6098	172	27	a	a	DET
cana-6098	172	28	direct	direct	ADJ
cana-6098	172	29	measure	measure	NOUN
cana-6098	172	30	of	of	ADP
cana-6098	172	31	expressed	express	VERB
cana-6098	172	32	emotions.it	emotions.it	NUM
cana-6098	172	33	shows	show	VERB
cana-6098	172	34	the	the	DET
cana-6098	172	35	person	person	NOUN
cana-6098	172	36	is	be	AUX
cana-6098	172	37	angry	angry	ADJ
cana-6098	172	38	5.2	5.2	NUM
cana-6098	172	39	speech	speech	NOUN
cana-6098	172	40	transcription	transcription	NOUN
cana-6098	172	41	results(text	results(text	NOUN
cana-6098	172	42	modality	modality	NOUN
cana-6098	172	43	)	)	PUNCT
cana-6098	172	44	the	the	DET
cana-6098	172	45	whisper	whisper	NOUN
cana-6098	172	46	”	"	PUNCT
cana-6098	172	47	large	large	ADJ
cana-6098	172	48	”	"	PUNCT
cana-6098	172	49	model	model	NOUN
cana-6098	172	50	demonstrates	demonstrate	VERB
cana-6098	172	51	optimal	optimal	ADJ
cana-6098	172	52	performance	performance	NOUN
cana-6098	172	53	in	in	ADP
cana-6098	172	54	automatic	automatic	ADJ
cana-6098	172	55	speech	speech	NOUN
cana-6098	172	56	recognition	recognition	NOUN
cana-6098	172	57	.	.	PUNCT
cana-6098	173	1	figure-6	figure-6	VERB
cana-6098	173	2	above	above	ADP
cana-6098	173	3	results	result	NOUN
cana-6098	173	4	shows	show	VERB
cana-6098	173	5	tone	tone	NOUN
cana-6098	173	6	is	be	AUX
cana-6098	173	7	positive	positive	ADJ
cana-6098	173	8	5.3	5.3	NUM
cana-6098	173	9	text	text	NOUN
cana-6098	173	10	sentiment	sentiment	NOUN
cana-6098	173	11	analysis	analysis	NOUN
cana-6098	173	12	results	result	VERB
cana-6098	173	13	•	•	PRON
cana-6098	173	14	bert	bert	NOUN
cana-6098	173	15	-	-	PUNCT
cana-6098	173	16	based	base	VERB
cana-6098	173	17	emotion	emotion	NOUN
cana-6098	173	18	classification	classification	NOUN
cana-6098	173	19	:	:	PUNCT
cana-6098	173	20	the	the	DET
cana-6098	173	21	model	model	NOUN
cana-6098	173	22	,	,	PUNCT
cana-6098	173	23	fine	fine	ADV
cana-6098	173	24	-	-	PUNCT
cana-6098	173	25	tuned	tune	VERB
cana-6098	173	26	for	for	ADP
cana-6098	173	27	5	5	NUM
cana-6098	173	28	-	-	PUNCT
cana-6098	173	29	class	class	NOUN
cana-6098	173	30	emotion	emotion	NOUN
cana-6098	173	31	classification	classification	NOUN
cana-6098	173	32	(	(	PUNCT
cana-6098	173	33	joy	joy	NOUN
cana-6098	173	34	,	,	PUNCT
cana-6098	173	35	sadness	sadness	NOUN
cana-6098	173	36	,	,	PUNCT
cana-6098	173	37	neutral	neutral	ADJ
cana-6098	173	38	,	,	PUNCT
cana-6098	173	39	anger	anger	NOUN
cana-6098	173	40	,	,	PUNCT
cana-6098	173	41	fear	fear	NOUN
cana-6098	173	42	)	)	PUNCT
cana-6098	173	43	,	,	PUNCT
cana-6098	173	44	achieved	achieve	VERB
cana-6098	173	45	an	an	DET
cana-6098	173	46	accuracy	accuracy	NOUN
cana-6098	173	47	of	of	ADP
cana-6098	173	48	94	94	NUM
cana-6098	173	49	%	%	NOUN
cana-6098	173	50	•	•	NUM
cana-6098	173	51	nltk	nltk	PROPN
cana-6098	173	52	vader	vader	PROPN
cana-6098	173	53	sentiment	sentiment	PROPN
cana-6098	173	54	scores	score	VERB
cana-6098	173	55	:	:	PUNCT
cana-6098	173	56	the	the	DET
cana-6098	173	57	analysis	analysis	NOUN
cana-6098	173	58	provides	provide	VERB
cana-6098	173	59	polarity	polarity	NOUN
cana-6098	173	60	scores	score	NOUN
cana-6098	173	61	(	(	PUNCT
cana-6098	173	62	‘	'	PUNCT
cana-6098	173	63	neg	neg	VERB
cana-6098	173	64	‘	'	PUNCT
cana-6098	173	65	,	,	PUNCT
cana-6098	173	66	‘	'	PUNCT
cana-6098	173	67	neu	neu	NOUN
cana-6098	173	68	‘	'	PUNCT
cana-6098	173	69	,	,	PUNCT
cana-6098	173	70	‘	'	PUNCT
cana-6098	173	71	pos‘,‘compound	pos‘,‘compound	NOUN
cana-6098	173	72	‘	'	PUNCT
cana-6098	173	73	)	)	PUNCT
cana-6098	173	74	,	,	PUNCT
cana-6098	173	75	indicating	indicate	VERB
cana-6098	173	76	the	the	DET
cana-6098	173	77	overall	overall	ADJ
cana-6098	173	78	positive	positive	ADJ
cana-6098	173	79	,	,	PUNCT
cana-6098	173	80	negative	negative	ADJ
cana-6098	173	81	,	,	PUNCT
cana-6098	173	82	or	or	CCONJ
cana-6098	173	83	neutral	neutral	ADJ
cana-6098	173	84	tone	tone	NOUN
cana-6098	173	85	of	of	ADP
cana-6098	173	86	the	the	DET
cana-6098	173	87	transcribed	transcribe	VERB
cana-6098	173	88	speech	speech	NOUN
cana-6098	173	89	figure-7	figure-7	PROPN
cana-6098	173	90	while	while	SCONJ
cana-6098	173	91	the	the	DET
cana-6098	173	92	score	score	NOUN
cana-6098	173	93	is	be	AUX
cana-6098	173	94	a	a	DET
cana-6098	173	95	continuous	continuous	ADJ
cana-6098	173	96	value	value	NOUN
cana-6098	173	97	,	,	PUNCT
cana-6098	173	98	it	it	PRON
cana-6098	173	99	's	be	AUX
cana-6098	173	100	often	often	ADV
cana-6098	173	101	used	use	VERB
cana-6098	173	102	with	with	ADP
cana-6098	173	103	a	a	DET
cana-6098	173	104	set	set	NOUN
cana-6098	173	105	of	of	ADP
cana-6098	173	106	thresholds	threshold	NOUN
cana-6098	173	107	to	to	PART
cana-6098	173	108	classify	classify	VERB
cana-6098	173	109	the	the	DET
cana-6098	173	110	sentiment	sentiment	NOUN
cana-6098	173	111	into	into	ADP
cana-6098	173	112	categories	category	NOUN
cana-6098	173	113	:	:	PUNCT
cana-6098	173	114	positive	positive	ADJ
cana-6098	173	115	:	:	PUNCT
cana-6098	173	116	compound	compound	NOUN
cana-6098	173	117	score	score	NOUN
cana-6098	173	118	≥0.05	≥0.05	PROPN
cana-6098	173	119	communications	communication	NOUN
cana-6098	173	120	on	on	ADP
cana-6098	173	121	applied	apply	VERB
cana-6098	173	122	nonlinear	nonlinear	ADJ
cana-6098	173	123	analysis	analysis	NOUN
cana-6098	173	124	issn	issn	NOUN
cana-6098	173	125	:	:	PUNCT
cana-6098	173	126	1074	1074	NUM
cana-6098	173	127	-	-	PUNCT
cana-6098	173	128	133x	133x	NUM
cana-6098	173	129	vol	vol	VERB
cana-6098	173	130	32	32	NUM
cana-6098	173	131	no	no	NOUN
cana-6098	173	132	.	.	PUNCT
cana-6098	174	1	10s	10	NOUN
cana-6098	174	2	(	(	PUNCT
cana-6098	174	3	2025	2025	NUM
cana-6098	174	4	)	)	PUNCT
cana-6098	174	5	3346	3346	NUM
cana-6098	174	6	https://internationalpubls.co	https://internationalpubls.co	X
cana-6098	174	7	m	m	NOUN
cana-6098	174	8	neutral	neutral	ADJ
cana-6098	174	9	:	:	PUNCT
cana-6098	174	10	compound	compound	NOUN
cana-6098	174	11	score	score	NOUN
cana-6098	174	12	between	between	ADP
cana-6098	174	13	−0.05	−0.05	NOUN
cana-6098	174	14	and	and	CCONJ
cana-6098	174	15	0.05	0.05	NUM
cana-6098	174	16	negative	negative	ADJ
cana-6098	174	17	:	:	PUNCT
cana-6098	174	18	compound	compound	NOUN
cana-6098	174	19	score	score	NOUN
cana-6098	174	20	≤−0.05	≤−0.05	NOUN
cana-6098	174	21	the	the	DET
cana-6098	174	22	results	result	NOUN
cana-6098	174	23	shows	show	VERB
cana-6098	174	24	compound	compound	NOUN
cana-6098	174	25	score=	score=	NUM
cana-6098	174	26	-0.128	-0.128	PUNCT
cana-6098	174	27	.	.	PUNCT
cana-6098	174	28	which	which	PRON
cana-6098	174	29	is	be	AUX
cana-6098	174	30	negative	negative	ADJ
cana-6098	174	31	.	.	PUNCT
cana-6098	175	1	negative	negative	ADJ
cana-6098	175	2	emotion	emotion	NOUN
cana-6098	175	3	represents	represent	VERB
cana-6098	175	4	hostility	hostility	NOUN
cana-6098	175	5	,	,	PUNCT
cana-6098	175	6	frustration	frustration	NOUN
cana-6098	175	7	,	,	PUNCT
cana-6098	175	8	or	or	CCONJ
cana-6098	175	9	antagonism	antagonism	NOUN
cana-6098	175	10	(	(	PUNCT
cana-6098	175	11	negative	negative	ADJ
cana-6098	175	12	valence	valence	NOUN
cana-6098	175	13	)	)	PUNCT
cana-6098	175	14	or	or	CCONJ
cana-6098	175	15	it	it	PRON
cana-6098	175	16	represents	represent	VERB
cana-6098	175	17	a	a	DET
cana-6098	175	18	threat	threat	NOUN
cana-6098	175	19	or	or	CCONJ
cana-6098	175	20	danger	danger	NOUN
cana-6098	175	21	,	,	PUNCT
cana-6098	175	22	which	which	PRON
cana-6098	175	23	is	be	AUX
cana-6098	175	24	a	a	DET
cana-6098	175	25	highly	highly	ADV
cana-6098	175	26	unpleasant	unpleasant	ADJ
cana-6098	175	27	state	state	NOUN
cana-6098	175	28	(	(	PUNCT
cana-6098	175	29	negative	negative	ADJ
cana-6098	175	30	valence	valence	NOUN
cana-6098	175	31	)	)	PUNCT
cana-6098	175	32	.	.	PUNCT
cana-6098	176	1	5.4	5.4	NUM
cana-6098	176	2	multimodal	multimodal	NOUN
cana-6098	176	3	fusion	fusion	NOUN
cana-6098	176	4	and	and	CCONJ
cana-6098	176	5	overall	overall	ADJ
cana-6098	176	6	stress	stress	NOUN
cana-6098	176	7	detection	detection	NOUN
cana-6098	176	8	results	result	VERB
cana-6098	176	9	the	the	DET
cana-6098	176	10	result	result	NOUN
cana-6098	176	11	from	from	ADP
cana-6098	176	12	image	image	NOUN
cana-6098	176	13	sentiment	sentiment	NOUN
cana-6098	176	14	analysis	analysis	NOUN
cana-6098	176	15	,	,	PUNCT
cana-6098	176	16	text	text	NOUN
cana-6098	176	17	sentiment	sentiment	NOUN
cana-6098	176	18	analysis	analysis	NOUN
cana-6098	176	19	and	and	CCONJ
cana-6098	176	20	audio	audio	ADJ
cana-6098	176	21	sentiment	sentiment	NOUN
cana-6098	176	22	analysis	analysis	NOUN
cana-6098	176	23	are	be	AUX
cana-6098	176	24	combined	combine	VERB
cana-6098	176	25	using	use	VERB
cana-6098	176	26	multimodal	multimodal	ADJ
cana-6098	176	27	fusion	fusion	NOUN
cana-6098	176	28	figure-8	figure-8	NUM
cana-6098	176	29	above	above	ADP
cana-6098	176	30	results	result	NOUN
cana-6098	176	31	in	in	ADP
cana-6098	176	32	figure	figure	NOUN
cana-6098	176	33	shows	show	VERB
cana-6098	176	34	that	that	SCONJ
cana-6098	176	35	compound	compound	VERB
cana-6098	176	36	score=-0.04327	score=-0.04327	NOUN
cana-6098	176	37	which	which	PRON
cana-6098	176	38	is	be	AUX
cana-6098	176	39	highly	highly	ADV
cana-6098	176	40	negative	negative	ADJ
cana-6098	176	41	and	and	CCONJ
cana-6098	176	42	we	we	PRON
cana-6098	176	43	can	can	AUX
cana-6098	176	44	conclude	conclude	VERB
cana-6098	176	45	that	that	SCONJ
cana-6098	176	46	the	the	DET
cana-6098	176	47	person	person	NOUN
cana-6098	176	48	in	in	ADP
cana-6098	176	49	the	the	DET
cana-6098	176	50	input	input	NOUN
cana-6098	176	51	video	video	NOUN
cana-6098	176	52	is	be	AUX
cana-6098	176	53	highly	highly	ADV
cana-6098	176	54	stressed	stressed	ADJ
cana-6098	176	55	.	.	PUNCT
cana-6098	177	1	modal	modal	ADJ
cana-6098	177	2	accuracy	accuracy	NOUN
cana-6098	177	3	precision	precision	NOUN
cana-6098	177	4	recall	recall	VERB
cana-6098	177	5	f1	f1	NOUN
cana-6098	177	6	-	-	PUNCT
cana-6098	177	7	score	score	NOUN
cana-6098	177	8	image	image	NOUN
cana-6098	177	9	72	72	NUM
cana-6098	177	10	%	%	NOUN
cana-6098	177	11	0.73	0.73	NUM
cana-6098	177	12	0.68	0.68	NUM
cana-6098	177	13	0.70	0.70	NUM
cana-6098	177	14	text	text	NOUN
cana-6098	177	15	76	76	NUM
cana-6098	177	16	%	%	NOUN
cana-6098	177	17	0.71	0.71	NUM
cana-6098	177	18	0.72	0.72	NUM
cana-6098	177	19	0.75	0.75	NUM
cana-6098	177	20	audio	audio	NOUN
cana-6098	177	21	78	78	NUM
cana-6098	177	22	%	%	NOUN
cana-6098	177	23	0.76	0.76	NUM
cana-6098	177	24	0.74	0.74	NUM
cana-6098	177	25	0.75	0.75	NUM
cana-6098	177	26	fusion	fusion	NOUN
cana-6098	177	27	88	88	NUM
cana-6098	177	28	%	%	NOUN
cana-6098	177	29	0.87	0.87	NUM
cana-6098	177	30	0.86	0.86	NUM
cana-6098	177	31	0.87	0.87	NUM
cana-6098	177	32	table	table	NOUN
cana-6098	177	33	1	1	NUM
cana-6098	177	34	-	-	PUNCT
cana-6098	177	35	stress	stress	NOUN
cana-6098	177	36	detection	detection	NOUN
cana-6098	177	37	accuracy	accuracy	NOUN
cana-6098	177	38	,	,	PUNCT
cana-6098	177	39	precision	precision	NOUN
cana-6098	177	40	,	,	PUNCT
cana-6098	177	41	recall	recall	NOUN
cana-6098	177	42	and	and	CCONJ
cana-6098	177	43	f1	f1	NOUN
cana-6098	177	44	-	-	PUNCT
cana-6098	177	45	score	score	NOUN
cana-6098	177	46	using	use	VERB
cana-6098	177	47	singleand	singleand	NOUN
cana-6098	177	48	multimodality	multimodality	NOUN
cana-6098	177	49	data	datum	NOUN
cana-6098	177	50	.	.	PUNCT
cana-6098	178	1	5	5	X
cana-6098	178	2	.	.	X
cana-6098	178	3	conclusion	conclusion	NOUN
cana-6098	178	4	in	in	ADP
cana-6098	178	5	this	this	DET
cana-6098	178	6	work	work	NOUN
cana-6098	178	7	,	,	PUNCT
cana-6098	178	8	a	a	DET
cana-6098	178	9	multimodal	multimodal	NOUN
cana-6098	178	10	system	system	NOUN
cana-6098	178	11	for	for	ADP
cana-6098	178	12	real	real	ADJ
cana-6098	178	13	-	-	PUNCT
cana-6098	178	14	time	time	NOUN
cana-6098	178	15	detection	detection	NOUN
cana-6098	178	16	of	of	ADP
cana-6098	178	17	employees	employee	NOUN
cana-6098	178	18	’	’	PART
cana-6098	178	19	emotional	emotional	ADJ
cana-6098	178	20	states	state	NOUN
cana-6098	178	21	during	during	ADP
cana-6098	178	22	video	video	NOUN
cana-6098	178	23	conferences	conference	NOUN
cana-6098	178	24	,	,	PUNCT
cana-6098	178	25	with	with	ADP
cana-6098	178	26	a	a	DET
cana-6098	178	27	focus	focus	NOUN
cana-6098	178	28	on	on	ADP
cana-6098	178	29	stress	stress	NOUN
cana-6098	178	30	.	.	PUNCT
cana-6098	179	1	the	the	DET
cana-6098	179	2	framework	framework	NOUN
cana-6098	179	3	integrates	integrate	VERB
cana-6098	179	4	facial	facial	ADJ
cana-6098	179	5	emotion	emotion	NOUN
cana-6098	179	6	recognition	recognition	NOUN
cana-6098	179	7	(	(	PUNCT
cana-6098	179	8	fer	fer	PROPN
cana-6098	179	9	)	)	PUNCT
cana-6098	179	10	,	,	PUNCT
cana-6098	179	11	speech	speech	NOUN
cana-6098	179	12	transcription	transcription	NOUN
cana-6098	179	13	using	use	VERB
cana-6098	179	14	openai	openai	PROPN
cana-6098	179	15	’s	’s	PART
cana-6098	179	16	whisper	whisper	NOUN
cana-6098	179	17	,	,	PUNCT
cana-6098	179	18	and	and	CCONJ
cana-6098	179	19	text	text	NOUN
cana-6098	179	20	sentiment	sentiment	NOUN
cana-6098	179	21	analysis	analysis	NOUN
cana-6098	179	22	with	with	ADP
cana-6098	179	23	nltk	nltk	PROPN
cana-6098	179	24	vader	vader	PROPN
cana-6098	179	25	.	.	PUNCT
cana-6098	180	1	the	the	DET
cana-6098	180	2	results	result	NOUN
cana-6098	180	3	indicate	indicate	VERB
cana-6098	180	4	that	that	SCONJ
cana-6098	180	5	fusing	fuse	VERB
cana-6098	180	6	multimodal	multimodal	ADJ
cana-6098	180	7	information	information	NOUN
cana-6098	180	8	for	for	ADP
cana-6098	180	9	stress	stress	NOUN
cana-6098	180	10	detection	detection	NOUN
cana-6098	180	11	achieves	achieve	VERB
cana-6098	180	12	an	an	DET
cana-6098	180	13	accuracy	accuracy	NOUN
cana-6098	180	14	of	of	ADP
cana-6098	180	15	88	88	NUM
cana-6098	180	16	%	%	NOUN
cana-6098	180	17	,	,	PUNCT
cana-6098	180	18	offering	offer	VERB
cana-6098	180	19	valuable	valuable	ADJ
cana-6098	180	20	insights	insight	NOUN
cana-6098	180	21	for	for	ADP
cana-6098	180	22	future	future	ADJ
cana-6098	180	23	research	research	NOUN
cana-6098	180	24	on	on	ADP
cana-6098	180	25	communications	communication	NOUN
cana-6098	180	26	on	on	ADP
cana-6098	180	27	applied	apply	VERB
cana-6098	180	28	nonlinear	nonlinear	ADJ
cana-6098	180	29	analysis	analysis	NOUN
cana-6098	180	30	issn	issn	NOUN
cana-6098	180	31	:	:	PUNCT
cana-6098	180	32	1074	1074	NUM
cana-6098	180	33	-	-	PUNCT
cana-6098	180	34	133x	133x	NUM
cana-6098	180	35	vol	vol	VERB
cana-6098	180	36	32	32	NUM
cana-6098	180	37	no	no	NOUN
cana-6098	180	38	.	.	PUNCT
cana-6098	181	1	10s	10	NOUN
cana-6098	181	2	(	(	PUNCT
cana-6098	181	3	2025	2025	NUM
cana-6098	181	4	)	)	PUNCT
cana-6098	181	5	3347	3347	NUM
cana-6098	181	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-6098	181	7	m	m	PROPN
cana-6098	181	8	multimodal	multimodal	NOUN
cana-6098	181	9	stress	stress	NOUN
cana-6098	181	10	detection	detection	NOUN
cana-6098	181	11	using	use	VERB
cana-6098	181	12	deep	deep	ADJ
cana-6098	181	13	learning	learning	NOUN
cana-6098	181	14	techniques	technique	NOUN
cana-6098	181	15	.	.	PUNCT
cana-6098	182	1	this	this	DET
cana-6098	182	2	study	study	NOUN
cana-6098	182	3	offers	offer	VERB
cana-6098	182	4	an	an	DET
cana-6098	182	5	objective	objective	ADJ
cana-6098	182	6	framework	framework	NOUN
cana-6098	182	7	for	for	ADP
cana-6098	182	8	integrating	integrate	VERB
cana-6098	182	9	multiple	multiple	ADJ
cana-6098	182	10	modalities	modality	NOUN
cana-6098	182	11	through	through	ADP
cana-6098	182	12	deep	deep	ADJ
cana-6098	182	13	learning	learning	NOUN
cana-6098	182	14	to	to	PART
cana-6098	182	15	detect	detect	VERB
cana-6098	182	16	stress	stress	NOUN
cana-6098	182	17	,	,	PUNCT
cana-6098	182	18	aiming	aim	VERB
cana-6098	182	19	to	to	PART
cana-6098	182	20	safeguard	safeguard	VERB
cana-6098	182	21	individuals	individual	NOUN
cana-6098	182	22	from	from	ADP
cana-6098	182	23	its	its	PRON
cana-6098	182	24	adverse	adverse	ADJ
cana-6098	182	25	effects	effect	NOUN
cana-6098	182	26	on	on	ADP
cana-6098	182	27	physical	physical	ADJ
cana-6098	182	28	and	and	CCONJ
cana-6098	182	29	mental	mental	ADJ
cana-6098	182	30	health	health	NOUN
cana-6098	182	31	.	.	PUNCT
cana-6098	183	1	references	reference	NOUN
cana-6098	183	2	[	[	X
cana-6098	183	3	1	1	NUM
cana-6098	183	4	]	]	X
cana-6098	183	5	ms.n.pavani	ms.n.pavani	PROPN
cana-6098	183	6	,	,	PUNCT
cana-6098	183	7	p.supriya	p.supriya	NOUN
cana-6098	183	8	,	,	PUNCT
cana-6098	183	9	a.sirichandana3	a.sirichandana3	PROPN
cana-6098	183	10	,	,	PUNCT
cana-6098	183	11	b.trinetra4	b.trinetra4	PROPN
cana-6098	183	12	,	,	PUNCT
cana-6098	183	13	s.v.n.s.s.supriya	s.v.n.s.s.supriya	NUM
cana-6098	183	14	,	,	PUNCT
cana-6098	183	15	“	"	PUNCT
cana-6098	183	16	stress	stress	NOUN
cana-6098	183	17	detectionusing	detectionuse	VERB
cana-6098	183	18	image	image	NOUN
cana-6098	183	19	processing	processing	NOUN
cana-6098	183	20	and	and	CCONJ
cana-6098	183	21	machine	machine	NOUN
cana-6098	183	22	learning	learning	NOUN
cana-6098	183	23	”	"	PUNCT
cana-6098	183	24	,	,	PUNCT
cana-6098	183	25	dogo	dogo	PROPN
cana-6098	183	26	rangsang	rangsang	PROPN
cana-6098	183	27	research	research	PROPN
cana-6098	183	28	journal	journal	PROPN
cana-6098	183	29	,	,	PUNCT
cana-6098	183	30	vol-08	vol-08	NOUN
cana-6098	183	31	issue-14	issue-14	PROPN
cana-6098	183	32	no	no	NOUN
cana-6098	183	33	.	.	PUNCT
cana-6098	183	34	02	02	NUM
cana-6098	183	35	:	:	SYM
cana-6098	183	36	2021	2021	NUM
cana-6098	183	37	[	[	X
cana-6098	183	38	2	2	X
cana-6098	183	39	]	]	PUNCT
cana-6098	183	40	jing	jing	PROPN
cana-6098	183	41	zhang	zhang	PROPN
cana-6098	183	42	et.al	et.al	PROPN
cana-6098	183	43	,	,	PUNCT
cana-6098	183	44	“	"	PUNCT
cana-6098	183	45	real	real	ADJ
cana-6098	183	46	time	time	NOUN
cana-6098	183	47	mental	mental	ADJ
cana-6098	183	48	stress	stress	NOUN
cana-6098	183	49	detection	detection	NOUN
cana-6098	183	50	using	use	VERB
cana-6098	183	51	multimodality	multimodality	NOUN
cana-6098	183	52	expressions	expression	NOUN
cana-6098	183	53	with	with	ADP
cana-6098	183	54	deep	deep	ADJ
cana-6098	183	55	learningframework”,frontiers	learningframework”,frontier	NOUN
cana-6098	183	56	in	in	ADP
cana-6098	183	57	neuroscience	neuroscience	NOUN
cana-6098	183	58	,	,	PUNCT
cana-6098	183	59	doi	doi	NOUN
cana-6098	183	60	10.3389	10.3389	NUM
cana-6098	183	61	/	/	SYM
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cana-6098	183	63	[	[	X
cana-6098	183	64	3	3	NUM
cana-6098	183	65	]	]	X
cana-6098	183	66	tanya	tanya	PROPN
cana-6098	183	67	nijhawan	nijhawan	PROPN
cana-6098	183	68	,	,	PUNCT
cana-6098	183	69	girija	girija	PROPN
cana-6098	183	70	attigeri	attigeri	ADJ
cana-6098	183	71	and	and	CCONJ
cana-6098	183	72	t.	t.	NOUN
cana-6098	183	73	ananthakrishna	ananthakrishna	NOUN
cana-6098	183	74	,	,	PUNCT
cana-6098	183	75	“	"	PUNCT
cana-6098	183	76	stress	stress	NOUN
cana-6098	183	77	detection	detection	NOUN
cana-6098	183	78	using	use	VERB
cana-6098	183	79	natural	natural	ADJ
cana-6098	183	80	language	language	NOUN
cana-6098	183	81	processing	processing	NOUN
cana-6098	183	82	and	and	CCONJ
cana-6098	183	83	machine	machine	NOUN
cana-6098	183	84	learning	learn	VERB
cana-6098	183	85	over	over	ADP
cana-6098	183	86	social	social	ADJ
cana-6098	183	87	interactions”,springer	interactions”,springer	NOUN
cana-6098	183	88	open	open	ADJ
cana-6098	183	89	access	access	NOUN
cana-6098	183	90	journal	journal	NOUN
cana-6098	183	91	,	,	PUNCT
cana-6098	183	92	https://doi.org/10.1186/s40537-022-00575-6,2022	https://doi.org/10.1186/s40537-022-00575-6,2022	X
cana-6098	184	1	[	[	X
cana-6098	184	2	4	4	NUM
cana-6098	184	3	]	]	X
cana-6098	184	4	u	u	PROPN
cana-6098	184	5	srinivasulu	srinivasulu	PROPN
cana-6098	184	6	reddy	reddy	PROPN
cana-6098	184	7	,	,	PUNCT
cana-6098	184	8	aditya	aditya	PROPN
cana-6098	184	9	vivek	vivek	PROPN
cana-6098	184	10	thota	thota	PROPN
cana-6098	184	11	,	,	PUNCT
cana-6098	184	12	a	a	DET
cana-6098	184	13	dharun	dharun	ADJ
cana-6098	184	14	,	,	PUNCT
cana-6098	184	15	“	"	PUNCT
cana-6098	184	16	machine	machine	NOUN
cana-6098	184	17	learning	learn	VERB
cana-6098	184	18	techniques	technique	NOUN
cana-6098	184	19	for	for	ADP
cana-6098	184	20	stress	stress	NOUN
cana-6098	184	21	prediction	prediction	NOUN
cana-6098	184	22	in	in	ADP
cana-6098	184	23	working	work	VERB
cana-6098	184	24	employees	employee	NOUN
cana-6098	184	25	”	"	PUNCT
cana-6098	184	26	,	,	PUNCT
cana-6098	184	27	2018	2018	NUM
cana-6098	184	28	ieee	ieee	NOUN
cana-6098	184	29	international	international	ADJ
cana-6098	184	30	conference	conference	NOUN
cana-6098	184	31	on	on	ADP
cana-6098	184	32	computational	computational	ADJ
cana-6098	184	33	intelligence	intelligence	NOUN
cana-6098	184	34	and	and	CCONJ
cana-6098	184	35	computing	compute	VERB
cana-6098	184	36	research	research	NOUN
cana-6098	184	37	(	(	PUNCT
cana-6098	184	38	iccic	iccic	ADJ
cana-6098	184	39	)	)	PUNCT
cana-6098	185	1	[	[	X
cana-6098	185	2	5	5	NUM
cana-6098	185	3	]	]	X
cana-6098	185	4	d	d	X
cana-6098	185	5	y	y	PROPN
cana-6098	185	6	liliana	liliana	PROPN
cana-6098	185	7	,	,	PUNCT
cana-6098	185	8	“	"	PUNCT
cana-6098	185	9	emotion	emotion	NOUN
cana-6098	185	10	recognition	recognition	NOUN
cana-6098	185	11	from	from	ADP
cana-6098	185	12	facial	facial	ADJ
cana-6098	185	13	expression	expression	NOUN
cana-6098	185	14	using	use	VERB
cana-6098	185	15	deep	deep	ADJ
cana-6098	185	16	convolutional	convolutional	ADJ
cana-6098	185	17	neural	neural	ADJ
cana-6098	185	18	network	network	NOUN
cana-6098	185	19	”	"	PUNCT
cana-6098	185	20	,	,	PUNCT
cana-6098	185	21	2018	2018	NUM
cana-6098	185	22	international	international	ADJ
cana-6098	185	23	conference	conference	NOUN
cana-6098	185	24	of	of	ADP
cana-6098	185	25	computer	computer	NOUN
cana-6098	185	26	and	and	CCONJ
cana-6098	185	27	informatics	informatics	PROPN
cana-6098	185	28	engineering	engineering	NOUN
cana-6098	185	29	(	(	PUNCT
cana-6098	185	30	ic2ie	ic2ie	PROPN
cana-6098	185	31	)	)	PUNCT
cana-6098	185	32	,	,	PUNCT
cana-6098	185	33	conf	conf	NOUN
cana-6098	185	34	.	.	PUNCT
cana-6098	186	1	ser	ser	PROPN
cana-6098	186	2	.	.	PROPN
cana-6098	186	3	1193	1193	NUM
cana-6098	186	4	012004	012004	NUM
cana-6098	187	1	[	[	X
cana-6098	187	2	6	6	X
cana-6098	187	3	]	]	PUNCT
cana-6098	187	4	kusuma	kusuma	NOUN
cana-6098	187	5	h	h	PROPN
cana-6098	187	6	r	r	NOUN
cana-6098	187	7	,	,	PUNCT
cana-6098	187	8	devika	devika	PROPN
cana-6098	187	9	rani	rani	PROPN
cana-6098	187	10	b	b	PROPN
cana-6098	187	11	s	s	PROPN
cana-6098	187	12	,	,	PUNCT
cana-6098	187	13	anjali	anjali	PROPN
cana-6098	187	14	k	k	PROPN
cana-6098	187	15	,	,	PUNCT
cana-6098	187	16	ashwini	ashwini	NOUN
cana-6098	187	17	n	n	CCONJ
cana-6098	187	18	,	,	PUNCT
cana-6098	187	19	“	"	PUNCT
cana-6098	187	20	stress	stress	NOUN
cana-6098	187	21	detection	detection	NOUN
cana-6098	187	22	in	in	ADP
cana-6098	187	23	it	it	PRON
cana-6098	187	24	professionals	professional	NOUN
cana-6098	187	25	using	use	VERB
cana-6098	187	26	image	image	NOUN
cana-6098	187	27	processing	processing	NOUN
cana-6098	187	28	and	and	CCONJ
cana-6098	187	29	machinelearning	machinelearning	NOUN
cana-6098	187	30	”	"	PUNCT
cana-6098	187	31	,	,	PUNCT
cana-6098	187	32	international	international	ADJ
cana-6098	187	33	journal	journal	NOUN
cana-6098	187	34	of	of	ADP
cana-6098	187	35	advances	advance	NOUN
cana-6098	187	36	in	in	ADP
cana-6098	187	37	engineering	engineering	NOUN
cana-6098	187	38	and	and	CCONJ
cana-6098	187	39	management	management	NOUN
cana-6098	187	40	(	(	PUNCT
cana-6098	187	41	ijaem	ijaem	NOUN
cana-6098	187	42	)	)	PUNCT
cana-6098	187	43	,	,	PUNCT
cana-6098	187	44	volume	volume	NOUN
cana-6098	187	45	5	5	NUM
cana-6098	187	46	,	,	PUNCT
cana-6098	187	47	issue	issue	NOUN
cana-6098	187	48	7	7	NUM
cana-6098	187	49	july	july	NOUN
cana-6098	187	50	2023,pp	2023,pp	NUM
cana-6098	187	51	.	.	PUNCT
cana-6098	188	1	255	255	NUM
cana-6098	188	2	-	-	SYM
cana-6098	188	3	259	259	NUM
cana-6098	188	4	[	[	X
cana-6098	188	5	7	7	NUM
cana-6098	188	6	]	]	X
cana-6098	188	7	dr	dr	PROPN
cana-6098	188	8	.	.	PROPN
cana-6098	188	9	s.	s.	PROPN
cana-6098	188	10	vaikole	vaikole	PROPN
cana-6098	188	11	,	,	PUNCT
cana-6098	188	12	s.	s.	PROPN
cana-6098	188	13	mulajkar	mulajkar	PROPN
cana-6098	188	14	,	,	PUNCT
cana-6098	188	15	a.	a.	PROPN
cana-6098	188	16	more	more	ADJ
cana-6098	188	17	,	,	PUNCT
cana-6098	188	18	p.	p.	NOUN
cana-6098	188	19	jayaswal	jayaswal	NOUN
cana-6098	188	20	,	,	PUNCT
cana-6098	188	21	s.	s.	PROPN
cana-6098	188	22	dhas	dhas	PROPN
cana-6098	188	23	,	,	PUNCT
cana-6098	188	24	“	"	PUNCT
cana-6098	188	25	stress	stress	NOUN
cana-6098	188	26	detection	detection	NOUN
cana-6098	188	27	through	through	ADP
cana-6098	188	28	speech	speech	NOUN
cana-6098	188	29	analysis	analysis	NOUN
cana-6098	188	30	using	use	VERB
cana-6098	188	31	machine	machine	NOUN
cana-6098	188	32	learning	learning	NOUN
cana-6098	188	33	”	"	PUNCT
cana-6098	188	34	,	,	PUNCT
cana-6098	188	35	ijcrt	ijcrt	VERB
cana-6098	188	36	|	|	ADV
cana-6098	188	37	volume	volume	NOUN
cana-6098	188	38	8	8	NUM
cana-6098	188	39	,	,	PUNCT
cana-6098	188	40	issue	issue	NOUN
cana-6098	188	41	5	5	NUM
cana-6098	188	42	may	may	AUX
cana-6098	188	43	2020,pp	2020,pp	NUM
cana-6098	188	44	.	.	PUNCT
cana-6098	189	1	2239	2239	NUM
cana-6098	189	2	-	-	SYM
cana-6098	189	3	2244	2244	NUM
cana-6098	189	4	[	[	X
cana-6098	189	5	8	8	NUM
cana-6098	189	6	]	]	PUNCT
cana-6098	189	7	b.	b.	PROPN
cana-6098	189	8	padmaja	padmaja	PROPN
cana-6098	189	9	,	,	PUNCT
cana-6098	189	10	v.	v.	PROPN
cana-6098	189	11	v.	v.	ADP
cana-6098	189	12	rama	rama	PROPN
cana-6098	189	13	prasad	prasad	PROPN
cana-6098	189	14	and	and	CCONJ
cana-6098	189	15	k.	k.	PROPN
cana-6098	189	16	v.	v.	PROPN
cana-6098	189	17	n.	n.	PROPN
cana-6098	189	18	sunitha	sunitha	PROPN
cana-6098	189	19	,	,	PUNCT
cana-6098	189	20	“	"	PUNCT
cana-6098	189	21	a	a	DET
cana-6098	189	22	machine	machine	NOUN
cana-6098	189	23	learning	learn	VERB
cana-6098	189	24	approach	approach	NOUN
cana-6098	189	25	for	for	ADP
cana-6098	189	26	stress	stress	NOUN
cana-6098	189	27	detection	detection	NOUN
cana-6098	189	28	using	use	VERB
cana-6098	189	29	a	a	DET
cana-6098	189	30	wireless	wireless	ADJ
cana-6098	189	31	physical	physical	ADJ
cana-6098	189	32	activity	activity	NOUN
cana-6098	189	33	tracker	tracker	NOUN
cana-6098	189	34	”	"	PUNCT
cana-6098	189	35	,	,	PUNCT
cana-6098	189	36	international	international	ADJ
cana-6098	189	37	journal	journal	NOUN
cana-6098	189	38	of	of	ADP
cana-6098	189	39	machine	machine	NOUN
cana-6098	189	40	learning	learning	NOUN
cana-6098	189	41	and	and	CCONJ
cana-6098	189	42	computing	computing	NOUN
cana-6098	189	43	,	,	PUNCT
cana-6098	189	44	vol	vol	NOUN
cana-6098	189	45	.	.	PROPN
cana-6098	189	46	8	8	NUM
cana-6098	189	47	,	,	PUNCT
cana-6098	189	48	no	no	INTJ
cana-6098	189	49	.	.	NOUN
cana-6098	189	50	1	1	NUM
cana-6098	189	51	,	,	PUNCT
cana-6098	189	52	february	february	PROPN
cana-6098	189	53	2018	2018	NUM
cana-6098	189	54	,	,	PUNCT
cana-6098	189	55	pp	pp	ADJ
cana-6098	189	56	.	.	PUNCT
cana-6098	190	1	33	33	NUM
cana-6098	190	2	-	-	SYM
cana-6098	190	3	38	38	NUM
cana-6098	190	4	[	[	X
cana-6098	190	5	9	9	NUM
cana-6098	190	6	]	]	X
cana-6098	190	7	adnan	adnan	PROPN
cana-6098	190	8	ghaderi	ghaderi	PROPN
cana-6098	190	9	,	,	PUNCT
cana-6098	190	10	javad	javad	PROPN
cana-6098	190	11	frounchi	frounchi	PROPN
cana-6098	190	12	,	,	PUNCT
cana-6098	190	13	alireza	alireza	PROPN
cana-6098	190	14	farnam	farnam	PROPN
cana-6098	190	15	,	,	PUNCT
cana-6098	190	16	“	"	PUNCT
cana-6098	190	17	machine	machine	NOUN
cana-6098	190	18	learning	learning	NOUN
cana-6098	190	19	-	-	PUNCT
cana-6098	190	20	based	base	VERB
cana-6098	190	21	signal	signal	NOUN
cana-6098	190	22	processing	processing	NOUN
cana-6098	190	23	using	use	VERB
cana-6098	190	24	physiological	physiological	ADJ
cana-6098	190	25	signals	signal	NOUN
cana-6098	190	26	for	for	ADP
cana-6098	190	27	stress	stress	NOUN
cana-6098	190	28	detection	detection	NOUN
cana-6098	190	29	”	"	PUNCT
cana-6098	190	30	,	,	PUNCT
cana-6098	190	31	22nd	22nd	ADJ
cana-6098	190	32	iranian	iranian	ADJ
cana-6098	190	33	conference	conference	NOUN
cana-6098	190	34	on	on	ADP
cana-6098	190	35	biomedical	biomedical	ADJ
cana-6098	190	36	engineering(icbme	engineering(icbme	PROPN
cana-6098	190	37	2015	2015	NUM
cana-6098	190	38	)	)	PUNCT
cana-6098	190	39	,	,	PUNCT
cana-6098	190	40	iranian	iranian	ADJ
cana-6098	190	41	research	research	NOUN
cana-6098	190	42	organization	organization	NOUN
cana-6098	190	43	for	for	ADP
cana-6098	190	44	science	science	NOUN
cana-6098	190	45	and	and	CCONJ
cana-6098	190	46	technology	technology	NOUN
cana-6098	190	47	(	(	PUNCT
cana-6098	190	48	irost	irost	NOUN
cana-6098	190	49	)	)	PUNCT
cana-6098	190	50	,	,	PUNCT
cana-6098	190	51	tehran	tehran	PROPN
cana-6098	190	52	,	,	PUNCT
cana-6098	190	53	iran	iran	PROPN
cana-6098	190	54	,	,	PUNCT
cana-6098	190	55	25	25	NUM
cana-6098	190	56	-	-	SYM
cana-6098	190	57	27	27	NUM
cana-6098	190	58	november	november	NOUN
cana-6098	190	59	2015	2015	NUM
cana-6098	190	60	[	[	X
cana-6098	190	61	10	10	NUM
cana-6098	190	62	]	]	X
cana-6098	190	63	virginia	virginia	PROPN
cana-6098	190	64	sandulescu	sandulescu	PROPN
cana-6098	190	65	,	,	PUNCT
cana-6098	190	66	sally	sally	PROPN
cana-6098	190	67	andrews	andrews	PROPN
cana-6098	190	68	,	,	PUNCT
cana-6098	190	69	nicola	nicola	PROPN
cana-6098	190	70	bellotto	bellotto	PROPN
cana-6098	190	71	,	,	PUNCT
cana-6098	190	72	oscar	oscar	PROPN
cana-6098	190	73	martinez	martinez	PROPN
cana-6098	190	74	mozos	mozos	PROPN
cana-6098	190	75	,	,	PUNCT
cana-6098	190	76	“	"	PUNCT
cana-6098	190	77	stress	stress	NOUN
cana-6098	190	78	detection	detection	NOUN
cana-6098	190	79	using	use	VERB
cana-6098	190	80	wearable	wearable	ADJ
cana-6098	190	81	physiological	physiological	ADJ
cana-6098	190	82	sensors	sensor	NOUN
cana-6098	190	83	”	"	PUNCT
cana-6098	190	84	,	,	PUNCT
cana-6098	190	85	international	international	ADJ
cana-6098	190	86	work	work	NOUN
cana-6098	190	87	-	-	PUNCT
cana-6098	190	88	conference	conference	NOUN
cana-6098	190	89	on	on	ADP
cana-6098	190	90	the	the	DET
cana-6098	190	91	interplay	interplay	NOUN
cana-6098	190	92	between	between	ADP
cana-6098	190	93	natural	natural	ADJ
cana-6098	190	94	and	and	CCONJ
cana-6098	190	95	artificial	artificial	ADJ
cana-6098	190	96	computation	computation	NOUN
cana-6098	190	97	,	,	PUNCT
cana-6098	190	98	june	june	PROPN
cana-6098	190	99	2015	2015	NUM
cana-6098	190	100	,	,	PUNCT
cana-6098	190	101	doi:10.1007/978	doi:10.1007/978	PROPN
cana-6098	190	102	-	-	PUNCT
cana-6098	190	103	3319	3319	NUM
cana-6098	190	104	-	-	PUNCT
cana-6098	190	105	18914	18914	NUM
cana-6098	190	106	-	-	SYM
cana-6098	190	107	7_55	7_55	NUM
cana-6098	191	1	[	[	X
cana-6098	191	2	11	11	NUM
cana-6098	191	3	]	]	PUNCT
cana-6098	191	4	xingxing	xingxing	PROPN
cana-6098	191	5	zhang	zhang	PROPN
cana-6098	191	6	,	,	PUNCT
cana-6098	191	7	chao	chao	PROPN
cana-6098	191	8	xu	xu	PROPN
cana-6098	192	1	1	1	NUM
cana-6098	192	2	,	,	PUNCT
cana-6098	192	3	wanli	wanli	PROPN
cana-6098	192	4	xue	xue	PROPN
cana-6098	192	5	1	1	NUM
cana-6098	192	6	,	,	PUNCT
cana-6098	192	7	jing	jing	NOUN
cana-6098	192	8	hu	hu	PROPN
cana-6098	192	9	,	,	PUNCT
cana-6098	192	10	yongchuan	yongchuan	PROPN
cana-6098	192	11	he	he	PRON
cana-6098	192	12	and	and	CCONJ
cana-6098	192	13	mengxin	mengxin	PROPN
cana-6098	192	14	gao	gao	PROPN
cana-6098	192	15	,	,	PUNCT
cana-6098	192	16	“	"	PUNCT
cana-6098	192	17	emotion	emotion	NOUN
cana-6098	192	18	recognition	recognition	NOUN
cana-6098	192	19	based	base	VERB
cana-6098	192	20	on	on	ADP
cana-6098	192	21	multichannel	multichannel	ADJ
cana-6098	192	22	physiological	physiological	ADJ
cana-6098	192	23	signals	signal	NOUN
cana-6098	192	24	with	with	ADP
cana-6098	192	25	communications	communication	NOUN
cana-6098	192	26	on	on	ADP
cana-6098	192	27	applied	apply	VERB
cana-6098	192	28	nonlinear	nonlinear	ADJ
cana-6098	192	29	analysis	analysis	NOUN
cana-6098	192	30	issn	issn	NOUN
cana-6098	192	31	:	:	PUNCT
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cana-6098	192	33	-	-	PUNCT
cana-6098	192	34	133x	133x	NUM
cana-6098	192	35	vol	vol	VERB
cana-6098	192	36	32	32	NUM
cana-6098	192	37	no	no	NOUN
cana-6098	192	38	.	.	PUNCT
cana-6098	193	1	10s	10	NOUN
cana-6098	193	2	(	(	PUNCT
cana-6098	193	3	2025	2025	NUM
cana-6098	193	4	)	)	PUNCT
cana-6098	193	5	3348	3348	NUM
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cana-6098	193	7	m	m	PROPN
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cana-6098	193	9	processing	processing	NOUN
cana-6098	193	10	”	"	PUNCT
cana-6098	193	11	,	,	PUNCT
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cana-6098	193	13	,	,	PUNCT
cana-6098	193	14	sensors	sensor	NOUN
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cana-6098	193	16	,	,	PUNCT
cana-6098	193	17	18	18	NUM
cana-6098	193	18	,	,	PUNCT
cana-6098	193	19	3886	3886	NUM
cana-6098	193	20	;	;	PUNCT
cana-6098	194	1	doi:10.3390	doi:10.3390	NOUN
cana-6098	194	2	/	/	SYM
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cana-6098	195	1	[	[	X
cana-6098	195	2	12	12	NUM
cana-6098	195	3	]	]	X
cana-6098	195	4	dorota	dorota	PROPN
cana-6098	195	5	kami´nska	kami´nska	X
cana-6098	195	6	,	,	PUNCT
cana-6098	195	7	“	"	PUNCT
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cana-6098	195	9	of	of	ADP
cana-6098	195	10	human	human	ADJ
cana-6098	195	11	mental	mental	ADJ
cana-6098	195	12	stress	stress	NOUN
cana-6098	195	13	using	use	VERB
cana-6098	195	14	machine	machine	NOUN
cana-6098	195	15	learning	learning	NOUN
cana-6098	195	16	:	:	PUNCT
cana-6098	195	17	a	a	DET
cana-6098	195	18	case	case	NOUN
cana-6098	195	19	study	study	NOUN
cana-6098	195	20	on	on	ADP
cana-6098	195	21	refugees	refugee	NOUN
cana-6098	195	22	”	"	PUNCT
cana-6098	195	23	,	,	PUNCT
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cana-6098	195	26	,	,	PUNCT
cana-6098	195	27	12	12	NUM
cana-6098	195	28	,	,	PUNCT
cana-6098	195	29	3468	3468	NUM
cana-6098	195	30	.	.	PUNCT
cana-6098	196	1	[	[	X
cana-6098	196	2	13	13	NUM
cana-6098	196	3	]	]	X
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cana-6098	196	7	,	,	PUNCT
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cana-6098	196	10	,	,	PUNCT
cana-6098	196	11	“	"	PUNCT
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cana-6098	196	13	and	and	CCONJ
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cana-6098	196	18	machine	machine	NOUN
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cana-6098	196	22	,	,	PUNCT
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cana-6098	196	30	(	(	PUNCT
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cana-6098	196	32	)	)	PUNCT
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cana-6098	196	36	,	,	PUNCT
cana-6098	196	37	october	october	PROPN
cana-6098	196	38	2019	2019	NUM
cana-6098	196	39	[	[	X
cana-6098	196	40	14	14	NUM
cana-6098	196	41	]	]	X
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cana-6098	196	43	r.	r.	PROPN
cana-6098	196	44	,	,	PUNCT
cana-6098	196	45	shivashankar	shivashankar	PROPN
cana-6098	196	46	,	,	PUNCT
cana-6098	196	47	shivakumar	shivakumar	PROPN
cana-6098	196	48	swamy	swamy	PROPN
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cana-6098	196	50	,	,	PUNCT
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cana-6098	196	56	,	,	PUNCT
cana-6098	196	57	nandeeswar	nandeeswar	PROPN
cana-6098	196	58	s.	s.	PROPN
cana-6098	196	59	b.	b.	PROPN
cana-6098	196	60	,	,	PUNCT
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cana-6098	196	62	r.	r.	PROPN
cana-6098	196	63	chougala	chougala	PROPN
cana-6098	196	64	,	,	PUNCT
cana-6098	196	65	“	"	PUNCT
cana-6098	196	66	a	a	DET
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cana-6098	196	68	biomedical	biomedical	ADJ
cana-6098	196	69	healthcare	healthcare	NOUN
cana-6098	196	70	system	system	NOUN
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cana-6098	196	73	stress	stress	NOUN
cana-6098	196	74	using	use	VERB
cana-6098	196	75	internet	internet	NOUN
cana-6098	196	76	of	of	ADP
cana-6098	196	77	medical	medical	ADJ
cana-6098	196	78	things	thing	NOUN
cana-6098	196	79	,	,	PUNCT
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cana-6098	196	81	learning	learning	NOUN
cana-6098	196	82	and	and	CCONJ
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cana-6098	196	84	intelligence	intelligence	NOUN
cana-6098	196	85	”	"	PUNCT
cana-6098	196	86	,	,	PUNCT
cana-6098	196	87	international	international	ADJ
cana-6098	196	88	journal	journal	NOUN
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cana-6098	196	90	intelligent	intelligent	ADJ
cana-6098	196	91	systems	system	NOUN
cana-6098	196	92	and	and	CCONJ
cana-6098	196	93	applications	application	NOUN
cana-6098	196	94	in	in	ADP
cana-6098	196	95	engineering	engineering	NOUN
cana-6098	196	96	,	,	PUNCT
cana-6098	196	97	vol	vol	NOUN
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cana-6098	196	100	.	.	PUNCT
cana-6098	197	1	335	335	NUM
cana-6098	197	2	-	-	SYM
cana-6098	197	3	343	343	NUM
cana-6098	197	4	[	[	X
cana-6098	197	5	15	15	NUM
cana-6098	197	6	]	]	X
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cana-6098	197	9	,	,	PUNCT
cana-6098	197	10	harshal	harshal	PROPN
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cana-6098	197	12	,	,	PUNCT
cana-6098	197	13	siddharam	siddharam	NOUN
cana-6098	197	14	shavage	shavage	NOUN
cana-6098	197	15	,	,	PUNCT
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cana-6098	197	17	tiwari	tiwari	PROPN
cana-6098	197	18	,	,	PUNCT
cana-6098	197	19	“	"	PUNCT
cana-6098	197	20	stress	stress	NOUN
cana-6098	197	21	detection	detection	NOUN
cana-6098	197	22	using	use	VERB
cana-6098	197	23	machine	machine	NOUN
cana-6098	197	24	learning	learning	NOUN
cana-6098	197	25	”	"	PUNCT
cana-6098	197	26	,	,	PUNCT
cana-6098	197	27	international	international	ADJ
cana-6098	197	28	journal	journal	NOUN
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cana-6098	197	31	and	and	CCONJ
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cana-6098	197	34	,	,	PUNCT
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cana-6098	197	36	.	.	PROPN
cana-6098	197	37	8	8	NUM
cana-6098	197	38	;	;	PUNCT
cana-6098	197	39	issue	issue	NOUN
cana-6098	197	40	:	:	PUNCT
cana-6098	197	41	2	2	NUM
cana-6098	197	42	;	;	PUNCT
cana-6098	197	43	april	april	PROPN
cana-6098	197	44	-	-	PUNCT
cana-6098	197	45	june	june	PROPN
cana-6098	197	46	2023,pp-307	2023,pp-307	NUM
cana-6098	197	47	-	-	SYM
cana-6098	197	48	311	311	NUM
cana-6098	197	49	[	[	X
cana-6098	197	50	16	16	NUM
cana-6098	197	51	]	]	X
cana-6098	197	52	kavitha	kavitha	PROPN
cana-6098	197	53	s	s	PROPN
cana-6098	197	54	patil	patil	PROPN
cana-6098	197	55	,	,	PUNCT
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cana-6098	197	58	,	,	PUNCT
cana-6098	197	59	udhay	udhay	PROPN
cana-6098	197	60	kiran	kiran	PROPN
cana-6098	197	61	k	k	PROPN
cana-6098	197	62	,	,	PUNCT
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cana-6098	197	66	,	,	PUNCT
cana-6098	197	67	“	"	PUNCT
cana-6098	197	68	projective	projective	ADJ
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cana-6098	197	70	on	on	ADP
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cana-6098	197	72	stress	stress	NOUN
cana-6098	197	73	levels	level	NOUN
cana-6098	197	74	using	use	VERB
cana-6098	197	75	machine	machine	NOUN
cana-6098	197	76	learning	learning	NOUN
cana-6098	197	77	”	"	PUNCT
cana-6098	197	78	,	,	PUNCT
cana-6098	197	79	international	international	ADJ
cana-6098	197	80	research	research	NOUN
cana-6098	197	81	journal	journal	NOUN
cana-6098	197	82	of	of	ADP
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cana-6098	197	84	and	and	CCONJ
cana-6098	197	85	technology	technology	NOUN
cana-6098	197	86	(	(	PUNCT
cana-6098	197	87	irjet	irjet	NOUN
cana-6098	197	88	)	)	PUNCT
cana-6098	197	89	,	,	PUNCT
cana-6098	197	90	volume	volume	NOUN
cana-6098	197	91	:	:	PUNCT
cana-6098	197	92	10	10	NUM
cana-6098	197	93	issue	issue	NOUN
cana-6098	197	94	:	:	PUNCT
cana-6098	197	95	04	04	NUM
cana-6098	197	96	|	|	ADV
cana-6098	197	97	apr	apr	VERB
cana-6098	197	98	2023,pp-1449	2023,pp-1449	NUM
cana-6098	197	99	-	-	SYM
cana-6098	197	100	1454	1454	NUM
cana-6098	198	1	[	[	X
cana-6098	198	2	17	17	NUM
cana-6098	198	3	]	]	PUNCT
cana-6098	198	4	mohamed	mohamed	PROPN
cana-6098	198	5	razeed	razeed	PROPN
cana-6098	198	6	mohamed	mohamed	PROPN
cana-6098	198	7	nowfeek	nowfeek	PROPN
cana-6098	198	8	,	,	PUNCT
cana-6098	198	9	“	"	PUNCT
cana-6098	198	10	a	a	DET
cana-6098	198	11	review	review	NOUN
cana-6098	198	12	of	of	ADP
cana-6098	198	13	machine	machine	NOUN
cana-6098	198	14	learning	learn	VERB
cana-6098	198	15	approach	approach	NOUN
cana-6098	198	16	for	for	ADP
cana-6098	198	17	mental	mental	ADJ
cana-6098	198	18	stress	stress	NOUN
cana-6098	198	19	detection	detection	NOUN
cana-6098	198	20	”	"	PUNCT
cana-6098	198	21	,	,	PUNCT
cana-6098	198	22	journal	journal	NOUN
cana-6098	198	23	of	of	ADP
cana-6098	198	24	information	information	NOUN
cana-6098	198	25	systems	systems	PROPN
cana-6098	198	26	&	&	CCONJ
cana-6098	198	27	information	information	NOUN
cana-6098	198	28	technology	technology	NOUN
cana-6098	198	29	(	(	PUNCT
cana-6098	198	30	jisit	jisit	PROPN
cana-6098	198	31	)	)	PUNCT
cana-6098	198	32	,	,	PUNCT
cana-6098	198	33	vol	vol	NOUN
cana-6098	198	34	.	.	PROPN
cana-6098	198	35	6	6	NUM
cana-6098	198	36	no.2	no.2	PROPN
cana-6098	198	37	,	,	PUNCT
cana-6098	198	38	2021	2021	NUM
cana-6098	198	39	;	;	PUNCT
cana-6098	198	40	pp72	pp72	PROPN
cana-6098	198	41	–	–	PUNCT
cana-6098	198	42	83	83	NUM
cana-6098	198	43	[	[	SYM
cana-6098	198	44	18	18	NUM
cana-6098	198	45	]	]	X
cana-6098	198	46	nisha	nisha	PROPN
cana-6098	198	47	raichur	raichur	PROPN
cana-6098	198	48	,	,	PUNCT
cana-6098	198	49	nidhi	nidhi	PROPN
cana-6098	198	50	lonakadi	lonakadi	PROPN
cana-6098	198	51	,	,	PUNCT
cana-6098	198	52	priyanka	priyanka	NOUN
cana-6098	198	53	mural	mural	NOUN
cana-6098	198	54	,	,	PUNCT
cana-6098	198	55	“	"	PUNCT
cana-6098	198	56	detection	detection	NOUN
cana-6098	198	57	of	of	ADP
cana-6098	198	58	stress	stress	NOUN
cana-6098	198	59	using	use	VERB
cana-6098	198	60	image	image	NOUN
cana-6098	198	61	processing	processing	NOUN
cana-6098	198	62	and	and	CCONJ
cana-6098	198	63	machine	machine	NOUN
cana-6098	198	64	learning	learn	VERB
cana-6098	198	65	techniques	technique	NOUN
cana-6098	198	66	”	"	PUNCT
cana-6098	198	67	,	,	PUNCT
cana-6098	198	68	international	international	ADJ
cana-6098	198	69	journal	journal	NOUN
cana-6098	198	70	of	of	ADP
cana-6098	198	71	engineering	engineering	NOUN
cana-6098	198	72	and	and	CCONJ
cana-6098	198	73	technology	technology	NOUN
cana-6098	198	74	(	(	PUNCT
cana-6098	198	75	ijet	ijet	NOUN
cana-6098	198	76	)	)	PUNCT
cana-6098	198	77	,	,	PUNCT
cana-6098	198	78	vol	vol	NOUN
cana-6098	198	79	9	9	NUM
cana-6098	198	80	no	no	DET
cana-6098	198	81	3s	3s	NUM
cana-6098	198	82	july	july	NOUN
cana-6098	198	83	2017	2017	NUM
cana-6098	199	1	[	[	SYM
cana-6098	199	2	19	19	NUM
cana-6098	199	3	]	]	PUNCT
cana-6098	199	4	z.	z.	PROPN
cana-6098	199	5	zainudin	zainudin	PROPN
cana-6098	199	6	,	,	PUNCT
cana-6098	199	7	s.	s.	PROPN
cana-6098	199	8	hasan	hasan	PROPN
cana-6098	199	9	,	,	PUNCT
cana-6098	199	10	s.m	s.m	PROPN
cana-6098	199	11	.	.	PROPN
cana-6098	199	12	shamsuddin	shamsuddin	PROPN
cana-6098	199	13	and	and	CCONJ
cana-6098	199	14	s.	s.	PROPN
cana-6098	199	15	argawal	argawal	PROPN
cana-6098	199	16	,	,	PUNCT
cana-6098	199	17	“	"	PUNCT
cana-6098	199	18	stress	stress	NOUN
cana-6098	199	19	detection	detection	NOUN
cana-6098	199	20	using	use	VERB
cana-6098	199	21	machine	machine	NOUN
cana-6098	199	22	learning	learning	NOUN
cana-6098	199	23	and	and	CCONJ
cana-6098	199	24	deep	deep	ADJ
cana-6098	199	25	learning	learning	NOUN
cana-6098	199	26	”	"	PUNCT
cana-6098	199	27	,	,	PUNCT
cana-6098	199	28	asian	asian	ADJ
cana-6098	199	29	conference	conference	NOUN
cana-6098	199	30	on	on	ADP
cana-6098	199	31	intelligent	intelligent	ADJ
cana-6098	199	32	computing	computing	NOUN
cana-6098	199	33	and	and	CCONJ
cana-6098	199	34	data	datum	NOUN
cana-6098	199	35	sciences	science	NOUN
cana-6098	199	36	(	(	PUNCT
cana-6098	199	37	acids	acid	NOUN
cana-6098	199	38	)	)	PUNCT
cana-6098	199	39	2021	2021	NUM
cana-6098	200	1	[	[	X
cana-6098	200	2	20	20	NUM
cana-6098	200	3	]	]	PUNCT
cana-6098	200	4	s.	s.	PROPN
cana-6098	200	5	a.	a.	PROPN
cana-6098	200	6	singh	singh	PROPN
cana-6098	200	7	,	,	PUNCT
cana-6098	200	8	p.	p.	PROPN
cana-6098	200	9	k.	k.	PROPN
cana-6098	201	1	gupta	gupta	PROPN
cana-6098	201	2	,	,	PUNCT
cana-6098	201	3	m.	m.	NOUN
cana-6098	201	4	rajeshwari	rajeshwari	NOUN
cana-6098	201	5	,	,	PUNCT
cana-6098	201	6	and	and	CCONJ
cana-6098	201	7	t.	t.	PROPN
cana-6098	201	8	janumala	janumala	PROPN
cana-6098	201	9	,	,	PUNCT
cana-6098	201	10	‘	'	PUNCT
cana-6098	201	11	‘	'	PUNCT
cana-6098	201	12	detection	detection	NOUN
cana-6098	201	13	of	of	ADP
cana-6098	201	14	stress	stress	NOUN
cana-6098	201	15	using	use	VERB
cana-6098	201	16	biosensors	biosensor	NOUN
cana-6098	201	17	,	,	PUNCT
cana-6098	201	18	’’	’'	PUNCT
cana-6098	201	19	mater	mater	NOUN
cana-6098	201	20	.	.	PUNCT
cana-6098	202	1	today	today	NOUN
cana-6098	202	2	,	,	PUNCT
cana-6098	202	3	vol	vol	NOUN
cana-6098	202	4	.	.	PROPN
cana-6098	203	1	5	5	NUM
cana-6098	203	2	,	,	PUNCT
cana-6098	203	3	no	no	INTJ
cana-6098	203	4	.	.	NOUN
cana-6098	203	5	10	10	NUM
cana-6098	203	6	,	,	PUNCT
cana-6098	203	7	pp	pp	ADJ
cana-6098	203	8	.	.	PUNCT
cana-6098	204	1	21003–21010	21003–21010	NUM
cana-6098	204	2	,	,	PUNCT
cana-6098	204	3	2018	2018	NUM
cana-6098	204	4	[	[	X
cana-6098	204	5	21	21	NUM
cana-6098	204	6	]	]	PUNCT
cana-6098	204	7	a.	a.	NOUN
cana-6098	204	8	alberdi	alberdi	PROPN
cana-6098	204	9	,	,	PUNCT
cana-6098	204	10	a.	a.	NOUN
cana-6098	204	11	aztiria	aztiria	PROPN
cana-6098	204	12	,	,	PUNCT
cana-6098	204	13	and	and	CCONJ
cana-6098	204	14	a.	a.	NOUN
cana-6098	204	15	basarab	basarab	PROPN
cana-6098	204	16	,	,	PUNCT
cana-6098	204	17	‘	'	PUNCT
cana-6098	204	18	‘	'	PUNCT
cana-6098	204	19	towards	towards	ADP
cana-6098	204	20	an	an	DET
cana-6098	204	21	automatic	automatic	ADJ
cana-6098	204	22	early	early	ADJ
cana-6098	204	23	stress	stress	NOUN
cana-6098	204	24	recognition	recognition	NOUN
cana-6098	204	25	system	system	NOUN
cana-6098	204	26	for	for	ADP
cana-6098	204	27	office	office	NOUN
cana-6098	204	28	environments	environment	NOUN
cana-6098	204	29	based	base	VERB
cana-6098	204	30	on	on	ADP
cana-6098	204	31	multimodal	multimodal	ADJ
cana-6098	204	32	measurements	measurement	NOUN
cana-6098	204	33	:	:	PUNCT
cana-6098	204	34	a	a	DET
cana-6098	204	35	review	review	NOUN
cana-6098	204	36	,	,	PUNCT
cana-6098	204	37	’’	’'	PUNCT
cana-6098	204	38	j.	j.	PROPN
cana-6098	204	39	biomed	biome	VERB
cana-6098	204	40	.	.	PUNCT
cana-6098	205	1	informat	informat	PROPN
cana-6098	205	2	.	.	PUNCT
cana-6098	205	3	,	,	PUNCT
cana-6098	205	4	vol	vol	NOUN
cana-6098	205	5	.	.	PROPN
cana-6098	206	1	59	59	NUM
cana-6098	206	2	,	,	PUNCT
cana-6098	206	3	pp	pp	ADJ
cana-6098	206	4	.	.	PUNCT
cana-6098	207	1	49–75	49–75	NUM
cana-6098	207	2	,	,	PUNCT
cana-6098	207	3	feb	feb	PROPN
cana-6098	207	4	.	.	PROPN
cana-6098	207	5	2016	2016	NUM
cana-6098	207	6	.	.	PUNCT
cana-6098	208	1	[	[	X
cana-6098	208	2	22	22	NUM
cana-6098	208	3	]	]	X
cana-6098	208	4	u.	u.	NOUN
cana-6098	208	5	pluntke	pluntke	PROPN
cana-6098	208	6	,	,	PUNCT
cana-6098	208	7	s.	s.	PROPN
cana-6098	208	8	gerke	gerke	PROPN
cana-6098	208	9	,	,	PUNCT
cana-6098	208	10	a.	a.	NOUN
cana-6098	208	11	sridhar	sridhar	PROPN
cana-6098	208	12	,	,	PUNCT
cana-6098	208	13	j.	j.	PROPN
cana-6098	208	14	weiss	weiss	PROPN
cana-6098	208	15	,	,	PUNCT
cana-6098	208	16	and	and	CCONJ
cana-6098	208	17	b.	b.	PROPN
cana-6098	208	18	michel	michel	PROPN
cana-6098	208	19	,	,	PUNCT
cana-6098	208	20	‘	'	PUNCT
cana-6098	208	21	‘	'	PUNCT
cana-6098	208	22	evaluation	evaluation	NOUN
cana-6098	208	23	and	and	CCONJ
cana-6098	208	24	classification	classification	NOUN
cana-6098	208	25	of	of	ADP
cana-6098	208	26	physical	physical	ADJ
cana-6098	208	27	and	and	CCONJ
cana-6098	208	28	psychological	psychological	ADJ
cana-6098	208	29	stress	stress	NOUN
cana-6098	208	30	in	in	ADP
cana-6098	208	31	firefighters	firefighter	NOUN
cana-6098	208	32	using	use	VERB
cana-6098	208	33	heart	heart	NOUN
cana-6098	208	34	rate	rate	NOUN
cana-6098	208	35	variability	variability	NOUN
cana-6098	208	36	,	,	PUNCT
cana-6098	208	37	’’	’'	PUNCT
cana-6098	208	38	in	in	ADP
cana-6098	208	39	proc	proc	NOUN
cana-6098	208	40	.	.	PUNCT
cana-6098	209	1	41st	41st	ADJ
cana-6098	209	2	annu	annu	PROPN
cana-6098	209	3	.	.	PUNCT
cana-6098	210	1	int	int	NOUN
cana-6098	210	2	.	.	PUNCT
cana-6098	210	3	conf	conf	PROPN
cana-6098	210	4	.	.	PUNCT
cana-6098	211	1	ieee	ieee	PROPN
cana-6098	211	2	eng	eng	PROPN
cana-6098	211	3	.	.	PROPN
cana-6098	211	4	med	med	PROPN
cana-6098	211	5	.	.	PUNCT
cana-6098	212	1	biol	biol	PROPN
cana-6098	212	2	.	.	PUNCT
cana-6098	213	1	soc	soc	PROPN
cana-6098	213	2	.	.	PUNCT
cana-6098	214	1	(	(	PUNCT
cana-6098	214	2	embc	embc	PROPN
cana-6098	214	3	)	)	PUNCT
cana-6098	214	4	,	,	PUNCT
cana-6098	214	5	jul	jul	PROPN
cana-6098	214	6	.	.	PROPN
cana-6098	214	7	2019	2019	NUM
cana-6098	214	8	,	,	PUNCT
cana-6098	214	9	pp	pp	ADJ
cana-6098	214	10	.	.	PUNCT
cana-6098	215	1	2207–2212	2207–2212	NUM
cana-6098	215	2	communications	communication	NOUN
cana-6098	215	3	on	on	ADP
cana-6098	215	4	applied	apply	VERB
cana-6098	215	5	nonlinear	nonlinear	ADJ
cana-6098	215	6	analysis	analysis	NOUN
cana-6098	215	7	issn	issn	NOUN
cana-6098	215	8	:	:	PUNCT
cana-6098	215	9	1074	1074	NUM
cana-6098	215	10	-	-	PUNCT
cana-6098	215	11	133x	133x	NUM
cana-6098	215	12	vol	vol	VERB
cana-6098	215	13	32	32	NUM
cana-6098	215	14	no	no	NOUN
cana-6098	215	15	.	.	PUNCT
cana-6098	216	1	10s	10	NOUN
cana-6098	216	2	(	(	PUNCT
cana-6098	216	3	2025	2025	NUM
cana-6098	216	4	)	)	PUNCT
cana-6098	216	5	3349	3349	NUM
cana-6098	217	1	https://internationalpubls.co	https://internationalpubls.co	X
cana-6098	217	2	m	m	NOUN
cana-6098	217	3	[	[	X
cana-6098	217	4	23	23	NUM
cana-6098	217	5	]	]	X
cana-6098	217	6	g.	g.	PROPN
cana-6098	217	7	shanmugasundaram	shanmugasundaram	PROPN
cana-6098	217	8	,	,	PUNCT
cana-6098	217	9	s.	s.	PROPN
cana-6098	217	10	yazhini	yazhini	PROPN
cana-6098	217	11	,	,	PUNCT
cana-6098	217	12	e.	e.	PROPN
cana-6098	217	13	hemapratha	hemapratha	PROPN
cana-6098	217	14	,	,	PUNCT
cana-6098	217	15	and	and	CCONJ
cana-6098	217	16	s.	s.	PROPN
cana-6098	217	17	nithya	nithya	PROPN
cana-6098	217	18	,	,	PUNCT
cana-6098	217	19	‘	'	PUNCT
cana-6098	217	20	‘	'	PUNCT
cana-6098	217	21	a	a	DET
cana-6098	217	22	comprehensive	comprehensive	ADJ
cana-6098	217	23	review	review	NOUN
cana-6098	217	24	on	on	ADP
cana-6098	217	25	stress	stress	NOUN
cana-6098	217	26	detection	detection	NOUN
cana-6098	217	27	techniques	technique	NOUN
cana-6098	217	28	,	,	PUNCT
cana-6098	217	29	’’	’'	PUNCT
cana-6098	217	30	in	in	ADP
cana-6098	217	31	proc	proc	NOUN
cana-6098	217	32	.	.	PUNCT
cana-6098	218	1	ieee	ieee	PROPN
cana-6098	218	2	int	int	PROPN
cana-6098	218	3	.	.	PUNCT
cana-6098	219	1	conf	conf	PROPN
cana-6098	219	2	.	.	PUNCT
cana-6098	220	1	syst	syst	PROPN
cana-6098	220	2	.	.	PUNCT
cana-6098	220	3	,	,	PUNCT
cana-6098	221	1	comput	comput	NOUN
cana-6098	221	2	.	.	PUNCT
cana-6098	221	3	,	,	PUNCT
cana-6098	222	1	automat	automat	PROPN
cana-6098	222	2	.	.	PUNCT
cana-6098	222	3	netw	netw	NOUN
cana-6098	222	4	.	.	PUNCT
cana-6098	223	1	(	(	PUNCT
cana-6098	223	2	icscan	icscan	PROPN
cana-6098	223	3	)	)	PUNCT
cana-6098	223	4	,	,	PUNCT
cana-6098	223	5	mar	mar	PROPN
cana-6098	223	6	.	.	PROPN
cana-6098	223	7	2019	2019	NUM
cana-6098	223	8	,	,	PUNCT
cana-6098	223	9	pp	pp	ADV
cana-6098	223	10	.	.	PUNCT
cana-6098	224	1	1–6	1–6	NUM
cana-6098	225	1	[	[	X
cana-6098	225	2	24	24	NUM
cana-6098	225	3	]	]	PUNCT
cana-6098	225	4	j.	j.	PROPN
cana-6098	225	5	wijsman	wijsman	PROPN
cana-6098	225	6	,	,	PUNCT
cana-6098	225	7	r.	r.	PROPN
cana-6098	225	8	vullers	vuller	NOUN
cana-6098	225	9	,	,	PUNCT
cana-6098	225	10	s.	s.	PROPN
cana-6098	225	11	polito	polito	PROPN
cana-6098	225	12	,	,	PUNCT
cana-6098	225	13	c.	c.	PROPN
cana-6098	225	14	agell	agell	PROPN
cana-6098	225	15	,	,	PUNCT
cana-6098	225	16	j.	j.	PROPN
cana-6098	225	17	penders	penders	PROPN
cana-6098	225	18	,	,	PUNCT
cana-6098	225	19	and	and	CCONJ
cana-6098	225	20	h.	h.	PROPN
cana-6098	225	21	hermens	hermen	VERB
cana-6098	225	22	,	,	PUNCT
cana-6098	225	23	‘	'	PUNCT
cana-6098	225	24	‘	'	PUNCT
cana-6098	225	25	towards	towards	ADP
cana-6098	225	26	ambulatory	ambulatory	ADJ
cana-6098	225	27	mental	mental	ADJ
cana-6098	225	28	stress	stress	NOUN
cana-6098	225	29	measurement	measurement	NOUN
cana-6098	225	30	from	from	ADP
cana-6098	225	31	physiological	physiological	ADJ
cana-6098	225	32	parameters	parameter	NOUN
cana-6098	225	33	,	,	PUNCT
cana-6098	225	34	’’	’'	PUNCT
cana-6098	225	35	in	in	ADP
cana-6098	225	36	proc	proc	NOUN
cana-6098	225	37	.	.	PUNCT
cana-6098	226	1	humaine	humaine	PROPN
cana-6098	226	2	assoc	assoc	PROPN
cana-6098	226	3	.	.	PUNCT
cana-6098	226	4	conf	conf	PROPN
cana-6098	226	5	.	.	PUNCT
cana-6098	227	1	affect	affect	PROPN
cana-6098	227	2	.	.	PUNCT
cana-6098	228	1	comput	comput	NOUN
cana-6098	228	2	.	.	PUNCT
cana-6098	229	1	intell	intell	PROPN
cana-6098	229	2	.	.	PUNCT
cana-6098	230	1	interact	interact	PROPN
cana-6098	230	2	.	.	PUNCT
cana-6098	230	3	,	,	PUNCT
cana-6098	230	4	sep	sep	PROPN
cana-6098	230	5	.	.	PROPN
cana-6098	231	1	2013	2013	NUM
cana-6098	231	2	,	,	PUNCT
cana-6098	231	3	pp	pp	ADP
cana-6098	231	4	.	.	PUNCT
cana-6098	232	1	564–569	564–569	NUM
cana-6098	233	1	[	[	X
cana-6098	233	2	25	25	NUM
cana-6098	233	3	]	]	X
cana-6098	233	4	s.	s.	PROPN
cana-6098	233	5	elzeiny	elzeiny	PROPN
cana-6098	233	6	and	and	CCONJ
cana-6098	233	7	m.	m.	NOUN
cana-6098	233	8	qaraqe	qaraqe	PROPN
cana-6098	233	9	,	,	PUNCT
cana-6098	233	10	‘	'	PUNCT
cana-6098	233	11	‘	'	PUNCT
cana-6098	233	12	blueprint	blueprint	NOUN
cana-6098	233	13	to	to	PART
cana-6098	233	14	workplace	workplace	NOUN
cana-6098	233	15	stress	stress	NOUN
cana-6098	233	16	detection	detection	NOUN
cana-6098	233	17	approaches	approach	NOUN
cana-6098	233	18	,	,	PUNCT
cana-6098	233	19	’’	’'	PUNCT
cana-6098	233	20	in	in	ADP
cana-6098	233	21	proc	proc	NOUN
cana-6098	233	22	.	.	PUNCT
cana-6098	234	1	int	int	NOUN
cana-6098	234	2	.	.	PUNCT
cana-6098	234	3	conf	conf	PROPN
cana-6098	234	4	.	.	PUNCT
cana-6098	235	1	comput	comput	PROPN
cana-6098	235	2	.	.	PUNCT
cana-6098	236	1	appl	appl	PROPN
cana-6098	236	2	.	.	PUNCT
cana-6098	237	1	(	(	PUNCT
cana-6098	237	2	icca	icca	PROPN
cana-6098	237	3	)	)	PUNCT
cana-6098	237	4	,	,	PUNCT
cana-6098	237	5	aug	aug	PROPN
cana-6098	237	6	.	.	PROPN
cana-6098	237	7	2018	2018	NUM
cana-6098	237	8	,	,	PUNCT
cana-6098	237	9	pp	pp	ADJ
cana-6098	237	10	.	.	PUNCT
cana-6098	238	1	407–412	407–412	NUM
cana-6098	238	2	.	.	PUNCT
cana-6098	239	1	[	[	X
cana-6098	239	2	26	26	NUM
cana-6098	239	3	]	]	X
cana-6098	239	4	s.	s.	PROPN
cana-6098	239	5	elzeiny	elzeiny	PROPN
cana-6098	239	6	and	and	CCONJ
cana-6098	239	7	m.	m.	NOUN
cana-6098	239	8	qaraqe	qaraqe	PROPN
cana-6098	239	9	,	,	PUNCT
cana-6098	239	10	‘	'	PUNCT
cana-6098	239	11	‘	'	PUNCT
cana-6098	239	12	machine	machine	NOUN
cana-6098	239	13	learning	learning	NOUN
cana-6098	239	14	approaches	approach	NOUN
cana-6098	239	15	to	to	ADP
cana-6098	239	16	automatic	automatic	ADJ
cana-6098	239	17	stress	stress	NOUN
cana-6098	239	18	detection	detection	NOUN
cana-6098	239	19	:	:	PUNCT
cana-6098	239	20	a	a	DET
cana-6098	239	21	review	review	NOUN
cana-6098	239	22	,	,	PUNCT
cana-6098	239	23	’’	’'	PUNCT
cana-6098	239	24	in	in	ADP
cana-6098	239	25	proc	proc	NOUN
cana-6098	239	26	.	.	PUNCT
cana-6098	240	1	ieee	ieee	NOUN
cana-6098	240	2	/	/	SYM
cana-6098	240	3	acs	acs	PROPN
cana-6098	240	4	15th	15th	ADJ
cana-6098	240	5	int	int	NOUN
cana-6098	240	6	.	.	PUNCT
cana-6098	241	1	conf	conf	NOUN
cana-6098	241	2	.	.	PUNCT
cana-6098	242	1	comput	comput	NOUN
cana-6098	242	2	.	.	PUNCT
cana-6098	243	1	syst	syst	PROPN
cana-6098	243	2	.	.	PUNCT
cana-6098	243	3	appl	appl	PROPN
cana-6098	243	4	.	.	PUNCT
cana-6098	244	1	(	(	PUNCT
cana-6098	244	2	aiccsa	aiccsa	PROPN
cana-6098	244	3	)	)	PUNCT
cana-6098	244	4	,	,	PUNCT
cana-6098	244	5	oct	oct	PROPN
cana-6098	244	6	.	.	PROPN
cana-6098	244	7	2018	2018	NUM
cana-6098	244	8	,	,	PUNCT
cana-6098	244	9	pp	pp	ADJ
cana-6098	244	10	.	.	PUNCT
cana-6098	245	1	1–6	1–6	X
cana-6098	245	2	.	.	PUNCT
cana-6098	246	1	[	[	X
cana-6098	246	2	27	27	NUM
cana-6098	246	3	]	]	PUNCT
cana-6098	246	4	s.	s.	PROPN
cana-6098	246	5	s.	s.	PROPN
cana-6098	246	6	panicker	panicker	PROPN
cana-6098	246	7	and	and	CCONJ
cana-6098	246	8	p.	p.	PROPN
cana-6098	246	9	gayathri	gayathri	PROPN
cana-6098	246	10	,	,	PUNCT
cana-6098	246	11	‘	'	PUNCT
cana-6098	246	12	‘	'	PUNCT
cana-6098	246	13	a	a	DET
cana-6098	246	14	survey	survey	NOUN
cana-6098	246	15	of	of	ADP
cana-6098	246	16	machine	machine	NOUN
cana-6098	246	17	learning	learn	VERB
cana-6098	246	18	techniques	technique	NOUN
cana-6098	246	19	in	in	ADP
cana-6098	246	20	physiology	physiology	NOUN
cana-6098	246	21	based	base	VERB
cana-6098	246	22	mental	mental	ADJ
cana-6098	246	23	stress	stress	NOUN
cana-6098	246	24	detection	detection	NOUN
cana-6098	246	25	systems	system	NOUN
cana-6098	246	26	,	,	PUNCT
cana-6098	246	27	’’	’'	PUNCT
cana-6098	246	28	biocybern	biocybern	NOUN
cana-6098	246	29	.	.	PUNCT
cana-6098	246	30	biomed	biome	VERB
cana-6098	246	31	.	.	PUNCT
cana-6098	247	1	eng	eng	PROPN
cana-6098	247	2	.	.	PROPN
cana-6098	247	3	,	,	PUNCT
cana-6098	247	4	vol	vol	NOUN
cana-6098	247	5	.	.	PROPN
cana-6098	247	6	39	39	NUM
cana-6098	247	7	,	,	PUNCT
cana-6098	247	8	no	no	INTJ
cana-6098	247	9	.	.	NOUN
cana-6098	247	10	2	2	NUM
cana-6098	247	11	,	,	PUNCT
cana-6098	247	12	pp	pp	ADJ
cana-6098	247	13	.	.	PUNCT
cana-6098	248	1	444	444	NUM
cana-6098	248	2	–	–	PUNCT
cana-6098	248	3	469	469	NUM
cana-6098	248	4	,	,	PUNCT
cana-6098	248	5	apr	apr	NOUN
cana-6098	248	6	.	.	NOUN
cana-6098	248	7	2019	2019	NUM
cana-6098	249	1	[	[	X
cana-6098	249	2	28	28	NUM
cana-6098	249	3	]	]	X
cana-6098	249	4	g.	g.	PROPN
cana-6098	249	5	giannakakis	giannakakis	PROPN
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cana-6098	249	7	d.	d.	PROPN
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cana-6098	249	9	,	,	PUNCT
cana-6098	249	10	k.	k.	PROPN
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cana-6098	249	12	,	,	PUNCT
cana-6098	249	13	o.	o.	PROPN
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cana-6098	249	15	,	,	PUNCT
cana-6098	249	16	a.	a.	NOUN
cana-6098	249	17	roniotis	roniotis	PROPN
cana-6098	249	18	,	,	PUNCT
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cana-6098	249	20	m.	m.	NOUN
cana-6098	249	21	tsiknakis	tsiknakis	PROPN
cana-6098	249	22	,	,	PUNCT
cana-6098	249	23	‘	'	PUNCT
cana-6098	249	24	‘	'	PUNCT
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cana-6098	249	26	on	on	ADP
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cana-6098	249	29	detection	detection	NOUN
cana-6098	249	30	using	use	VERB
cana-6098	249	31	biosignals	biosignal	NOUN
cana-6098	249	32	,	,	PUNCT
cana-6098	249	33	’’	’'	PUNCT
cana-6098	249	34	ieee	ieee	NOUN
cana-6098	249	35	trans	trans	PROPN
cana-6098	249	36	.	.	PROPN
cana-6098	249	37	affect	affect	VERB
cana-6098	249	38	.	.	PUNCT
cana-6098	250	1	comput	comput	NOUN
cana-6098	250	2	.	.	PUNCT
cana-6098	250	3	,	,	PUNCT
cana-6098	250	4	early	early	ADJ
cana-6098	250	5	access	access	NOUN
cana-6098	250	6	,	,	PUNCT
cana-6098	250	7	jul	jul	PROPN
cana-6098	250	8	.	.	PROPN
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cana-6098	250	10	,	,	PUNCT
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cana-6098	251	2	29	29	NUM
cana-6098	251	3	]	]	X
cana-6098	251	4	y.	y.	PROPN
cana-6098	251	5	s.	s.	PROPN
cana-6098	251	6	can	can	AUX
cana-6098	251	7	,	,	PUNCT
cana-6098	251	8	n.	n.	PROPN
cana-6098	251	9	chalabianloo	chalabianloo	PROPN
cana-6098	251	10	,	,	PUNCT
cana-6098	251	11	d.	d.	PROPN
cana-6098	251	12	ekiz	ekiz	PROPN
cana-6098	251	13	,	,	PUNCT
cana-6098	251	14	j.	j.	PROPN
cana-6098	251	15	fernandez	fernandez	PROPN
cana-6098	251	16	-	-	PUNCT
cana-6098	251	17	alvarez	alvarez	PROPN
cana-6098	251	18	,	,	PUNCT
cana-6098	251	19	g.	g.	PROPN
cana-6098	251	20	riva	riva	PROPN
cana-6098	251	21	,	,	PUNCT
cana-6098	251	22	and	and	CCONJ
cana-6098	251	23	c.	c.	PROPN
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cana-6098	251	25	,	,	PUNCT
cana-6098	251	26	‘	'	PUNCT
cana-6098	251	27	‘	'	PUNCT
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cana-6098	251	31	level	level	NOUN
cana-6098	251	32	clustering	clustering	NOUN
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cana-6098	251	40	the	the	DET
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cana-6098	251	42	of	of	ADP
cana-6098	251	43	ambulatory	ambulatory	ADJ
cana-6098	251	44	stress	stress	NOUN
cana-6098	251	45	detection	detection	NOUN
cana-6098	251	46	with	with	ADP
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cana-6098	251	48	,	,	PUNCT
cana-6098	251	49	’’	’'	PUNCT
cana-6098	251	50	ieee	ieee	NOUN
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cana-6098	251	60	,	,	PUNCT
cana-6098	251	61	2020	2020	NUM
cana-6098	251	62	[	[	X
cana-6098	251	63	30	30	NUM
cana-6098	251	64	]	]	X
cana-6098	251	65	y.	y.	PROPN
cana-6098	251	66	s.	s.	PROPN
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cana-6098	251	69	n.	n.	PROPN
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cana-6098	251	72	d.	d.	PROPN
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cana-6098	251	80	‘	'	PUNCT
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cana-6098	251	83	detection	detection	NOUN
cana-6098	251	84	using	use	VERB
cana-6098	251	85	wearable	wearable	ADJ
cana-6098	251	86	sensors	sensor	NOUN
cana-6098	251	87	in	in	ADP
cana-6098	251	88	real	real	ADJ
cana-6098	251	89	life	life	NOUN
cana-6098	251	90	:	:	PUNCT
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cana-6098	251	92	programming	programming	NOUN
cana-6098	251	93	contest	contest	NOUN
cana-6098	251	94	case	case	NOUN
cana-6098	251	95	study	study	NOUN
cana-6098	251	96	,	,	PUNCT
cana-6098	251	97	’’	’'	PUNCT
cana-6098	251	98	sensors	sensor	NOUN
cana-6098	251	99	,	,	PUNCT
cana-6098	251	100	vol	vol	NOUN
cana-6098	251	101	.	.	PROPN
cana-6098	252	1	19	19	NUM
cana-6098	252	2	,	,	PUNCT
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cana-6098	252	5	8	8	NUM
cana-6098	252	6	,	,	PUNCT
cana-6098	252	7	p.	p.	NOUN
cana-6098	252	8	1849	1849	NUM
cana-6098	252	9	,	,	PUNCT
cana-6098	252	10	apr	apr	PROPN
cana-6098	252	11	.	.	PROPN
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cana-6098	253	1	[	[	X
cana-6098	253	2	31	31	NUM
cana-6098	253	3	]	]	X
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cana-6098	253	10	,	,	PUNCT
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cana-6098	253	12	i.	i.	PROPN
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cana-6098	253	14	,	,	PUNCT
cana-6098	253	15	‘	'	PUNCT
cana-6098	253	16	‘	'	PUNCT
cana-6098	253	17	machine	machine	NOUN
cana-6098	253	18	learning	learning	NOUN
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cana-6098	253	21	detection	detection	NOUN
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cana-6098	253	24	signals	signal	NOUN
cana-6098	253	25	in	in	ADP
cana-6098	253	26	automobile	automobile	NOUN
cana-6098	253	27	drivers	driver	NOUN
cana-6098	253	28	,	,	PUNCT
cana-6098	253	29	’’	’'	PUNCT
cana-6098	253	30	in	in	ADP
cana-6098	253	31	proc	proc	NOUN
cana-6098	253	32	.	.	PUNCT
cana-6098	254	1	ieee	ieee	PROPN
cana-6098	254	2	int	int	PROPN
cana-6098	254	3	.	.	PUNCT
cana-6098	255	1	conf	conf	PROPN
cana-6098	255	2	.	.	PUNCT
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cana-6098	256	18	,	,	PUNCT
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cana-6098	256	20	.	.	PUNCT
cana-6098	256	21	2661–2669	2661–2669	NUM
cana-6098	257	1	[	[	X
cana-6098	257	2	32	32	NUM
cana-6098	257	3	]	]	PUNCT
cana-6098	257	4	v.	v.	CCONJ
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cana-6098	257	7	‘	'	PUNCT
cana-6098	257	8	‘	'	PUNCT
cana-6098	257	9	an	an	DET
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cana-6098	257	11	of	of	ADP
cana-6098	257	12	the	the	DET
cana-6098	257	13	supervised	supervised	ADJ
cana-6098	257	14	machine	machine	NOUN
cana-6098	257	15	learning	learning	NOUN
cana-6098	257	16	methods	method	NOUN
cana-6098	257	17	,	,	PUNCT
cana-6098	257	18	’’	’'	PUNCT
cana-6098	257	19	horizons	horizon	NOUN
cana-6098	257	20	,	,	PUNCT
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cana-6098	257	22	.	.	PROPN
cana-6098	258	1	4	4	NUM
cana-6098	258	2	,	,	PUNCT
cana-6098	258	3	pp	pp	ADJ
cana-6098	258	4	.	.	PUNCT
cana-6098	259	1	51–62	51–62	NUM
cana-6098	259	2	,	,	PUNCT
cana-6098	259	3	dec	dec	PROPN
cana-6098	259	4	.	.	PROPN
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cana-6098	259	6	,	,	PUNCT
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cana-6098	259	8	:	:	PUNCT
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cana-6098	260	1	[	[	X
cana-6098	260	2	33	33	NUM
cana-6098	260	3	]	]	PUNCT
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cana-6098	260	7	a.	a.	NOUN
cana-6098	260	8	ceniza	ceniza	PROPN
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cana-6098	260	10	‘	'	PUNCT
cana-6098	260	11	‘	'	PUNCT
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cana-6098	260	13	sensor	sensor	NOUN
cana-6098	260	14	prototype	prototype	NOUN
cana-6098	260	15	:	:	PUNCT
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cana-6098	260	17	the	the	DET
cana-6098	260	18	stress	stress	NOUN
cana-6098	260	19	level	level	NOUN
cana-6098	260	20	in	in	ADP
cana-6098	260	21	using	use	VERB
cana-6098	260	22	a	a	DET
cana-6098	260	23	computer	computer	NOUN
cana-6098	260	24	through	through	ADP
cana-6098	260	25	validated	validate	VERB
cana-6098	260	26	self	self	NOUN
cana-6098	260	27	-	-	PUNCT
cana-6098	260	28	made	make	VERB
cana-6098	260	29	heart	heart	NOUN
cana-6098	260	30	rate	rate	NOUN
cana-6098	260	31	(	(	PUNCT
cana-6098	260	32	hr	hr	NOUN
cana-6098	260	33	)	)	PUNCT
cana-6098	260	34	and	and	CCONJ
cana-6098	260	35	galvanic	galvanic	ADJ
cana-6098	260	36	skin	skin	NOUN
cana-6098	260	37	response	response	NOUN
cana-6098	260	38	(	(	PUNCT
cana-6098	260	39	gsr	gsr	ADJ
cana-6098	260	40	)	)	PUNCT
cana-6098	260	41	sensors	sensor	NOUN
cana-6098	260	42	and	and	CCONJ
cana-6098	260	43	fuzzy	fuzzy	ADJ
cana-6098	260	44	logic	logic	NOUN
cana-6098	260	45	algorithm	algorithm	NOUN
cana-6098	260	46	,	,	PUNCT
cana-6098	260	47	’’	’'	PUNCT
cana-6098	260	48	int	int	NOUN
cana-6098	260	49	.	.	PUNCT
cana-6098	261	1	j.	j.	PROPN
cana-6098	261	2	eng	eng	PROPN
cana-6098	261	3	.	.	PUNCT
cana-6098	262	1	res	res	PROPN
cana-6098	262	2	.	.	PROPN
cana-6098	263	1	technol	technol	PROPN
cana-6098	263	2	.	.	PROPN
cana-6098	263	3	,	,	PUNCT
cana-6098	263	4	vol	vol	NOUN
cana-6098	263	5	.	.	PROPN
cana-6098	263	6	5	5	NUM
cana-6098	263	7	,	,	PUNCT
cana-6098	263	8	no	no	INTJ
cana-6098	263	9	.	.	NOUN
cana-6098	263	10	3	3	NUM
cana-6098	263	11	,	,	PUNCT
cana-6098	263	12	pp	pp	ADJ
cana-6098	263	13	.	.	PUNCT
cana-6098	264	1	28–37	28–37	NOUN
cana-6098	264	2	,	,	PUNCT
cana-6098	264	3	2016	2016	NUM
cana-6098	265	1	[	[	X
cana-6098	265	2	34	34	NUM
cana-6098	265	3	]	]	X
cana-6098	265	4	g.	g.	PROPN
cana-6098	265	5	mattavelli	mattavelli	PROPN
cana-6098	265	6	et	et	PROPN
cana-6098	265	7	al	al	PROPN
cana-6098	265	8	,	,	PUNCT
cana-6098	265	9	facial	facial	ADJ
cana-6098	265	10	expressions	expression	NOUN
cana-6098	265	11	recognition	recognition	NOUN
cana-6098	265	12	and	and	CCONJ
cana-6098	265	13	discrimination	discrimination	NOUN
cana-6098	265	14	in	in	ADP
cana-6098	265	15	parkinson	parkinson	NOUN
cana-6098	265	16	’s	’s	PART
cana-6098	265	17	disease	disease	NOUN
cana-6098	265	18	,	,	PUNCT
cana-6098	265	19	j.	j.	PROPN
cana-6098	265	20	neuropsychol	neuropsychol	PROPN
cana-6098	265	21	.	.	PUNCT
cana-6098	266	1	15	15	NUM
cana-6098	266	2	(	(	PUNCT
cana-6098	266	3	1	1	NUM
cana-6098	266	4	)	)	PUNCT
cana-6098	266	5	(	(	PUNCT
cana-6098	266	6	2021	2021	NUM
cana-6098	266	7	)	)	PUNCT
cana-6098	266	8	46–68	46–68	NUM
cana-6098	267	1	[	[	X
cana-6098	267	2	35	35	NUM
cana-6098	267	3	]	]	X
cana-6098	267	4	wan	wan	PROPN
cana-6098	267	5	-	-	PUNCT
cana-6098	267	6	ting	ting	PROPN
cana-6098	267	7	chew	chew	VERB
cana-6098	267	8	et.al	et.al	ADJ
cana-6098	267	9	“	"	PUNCT
cana-6098	267	10	facial	facial	ADJ
cana-6098	267	11	expression	expression	NOUN
cana-6098	267	12	recognition	recognition	NOUN
cana-6098	267	13	via	via	ADP
cana-6098	267	14	enhanced	enhanced	ADJ
cana-6098	267	15	communications	communication	NOUN
cana-6098	267	16	on	on	ADP
cana-6098	267	17	applied	apply	VERB
cana-6098	267	18	nonlinear	nonlinear	ADJ
cana-6098	267	19	analysis	analysis	NOUN
cana-6098	267	20	issn	issn	NOUN
cana-6098	267	21	:	:	PUNCT
cana-6098	267	22	1074	1074	NUM
cana-6098	267	23	-	-	PUNCT
cana-6098	267	24	133x	133x	NUM
cana-6098	267	25	vol	vol	VERB
cana-6098	267	26	32	32	NUM
cana-6098	267	27	no	no	NOUN
cana-6098	267	28	.	.	PUNCT
cana-6098	268	1	10s	10	NOUN
cana-6098	268	2	(	(	PUNCT
cana-6098	268	3	2025	2025	NUM
cana-6098	268	4	)	)	PUNCT
cana-6098	268	5	3350	3350	NUM
cana-6098	269	1	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-6098	269	2	m	m	PROPN
cana-6098	269	3	stress	stress	NOUN
cana-6098	269	4	convolution	convolution	NOUN
cana-6098	269	5	neural	neural	ADJ
cana-6098	269	6	network	network	NOUN
cana-6098	269	7	for	for	ADP
cana-6098	269	8	stress	stress	NOUN
cana-6098	269	9	detection	detection	NOUN
cana-6098	269	10	”	"	PUNCT
cana-6098	269	11	,	,	PUNCT
cana-6098	269	12	iaeng	iaeng	PROPN
cana-6098	269	13	international	international	PROPN
cana-6098	269	14	journal	journal	PROPN
cana-6098	269	15	of	of	ADP
cana-6098	269	16	computer	computer	NOUN
cana-6098	269	17	science	science	NOUN
cana-6098	269	18	,	,	PUNCT
cana-6098	269	19	49:3	49:3	NUM
cana-6098	269	20	,	,	PUNCT
cana-6098	269	21	ijcs_49_3_20	ijcs_49_3_20	ADJ
cana-6098	269	22	,	,	PUNCT
cana-6098	269	23	volume	volume	NOUN
cana-6098	269	24	49	49	NUM
cana-6098	269	25	,	,	PUNCT
cana-6098	269	26	issue	issue	NOUN
cana-6098	269	27	3	3	NUM
cana-6098	269	28	:	:	PUNCT
cana-6098	269	29	september	september	PROPN
cana-6098	269	30	2022	2022	NUM
cana-6098	270	1	[	[	X
cana-6098	270	2	36	36	NUM
cana-6098	270	3	]	]	PUNCT
cana-6098	270	4	menoua	menoua	NOUN
cana-6098	270	5	keshishian	keshishian	PROPN
cana-6098	270	6	et.al	et.al	PROPN
cana-6098	270	7	,	,	PUNCT
cana-6098	270	8	“	"	PUNCT
cana-6098	270	9	understanding	understand	VERB
cana-6098	270	10	adaptive	adaptive	ADJ
cana-6098	270	11	,	,	PUNCT
cana-6098	270	12	multiscale	multiscale	ADJ
cana-6098	270	13	temporal	temporal	ADJ
cana-6098	270	14	integration	integration	NOUN
cana-6098	270	15	in	in	ADP
cana-6098	270	16	deep	deep	ADJ
cana-6098	270	17	speech	speech	NOUN
cana-6098	270	18	recognition	recognition	NOUN
cana-6098	270	19	systems	system	NOUN
cana-6098	270	20	”	"	PUNCT
cana-6098	270	21	,	,	PUNCT
cana-6098	270	22	35th	35th	ADJ
cana-6098	270	23	conference	conference	NOUN
cana-6098	270	24	on	on	ADP
cana-6098	270	25	neural	neural	ADJ
cana-6098	270	26	information	information	NOUN
cana-6098	270	27	processing	processing	NOUN
cana-6098	270	28	systems	system	NOUN
cana-6098	270	29	(	(	PUNCT
cana-6098	270	30	neurips	neurip	NOUN
cana-6098	270	31	2021	2021	NUM
cana-6098	270	32	)	)	PUNCT
cana-6098	270	33	.	.	PUNCT
cana-6098	271	1	[	[	X
cana-6098	271	2	37	37	NUM
cana-6098	271	3	]	]	X
cana-6098	271	4	terry	terry	PROPN
cana-6098	271	5	amorese	amorese	PROPN
cana-6098	271	6	et.al	et.al	PROPN
cana-6098	271	7	,	,	PUNCT
cana-6098	271	8	“	"	PUNCT
cana-6098	271	9	automatic	automatic	ADJ
cana-6098	271	10	speech	speech	NOUN
cana-6098	271	11	recognition	recognition	NOUN
cana-6098	271	12	(	(	PUNCT
cana-6098	271	13	asr	asr	PROPN
cana-6098	271	14	)	)	PUNCT
cana-6098	271	15	with	with	ADP
cana-6098	271	16	whisper	whisper	NOUN
cana-6098	271	17	:	:	PUNCT
cana-6098	271	18	testing	testing	NOUN
cana-6098	271	19	performances	performance	NOUN
cana-6098	271	20	in	in	ADP
cana-6098	271	21	different	different	ADJ
cana-6098	271	22	languages	language	NOUN
cana-6098	271	23	.	.	PUNCT
cana-6098	271	24	”	"	PUNCT
cana-6098	271	25	,	,	PUNCT
cana-6098	271	26	s3c’23	s3c’23	ADJ
cana-6098	271	27	:	:	PUNCT
cana-6098	271	28	sustainable	sustainable	ADJ
cana-6098	271	29	,	,	PUNCT
cana-6098	271	30	secure	secure	ADJ
cana-6098	271	31	,	,	PUNCT
cana-6098	271	32	and	and	CCONJ
cana-6098	271	33	smart	smart	ADJ
cana-6098	271	34	collaboration	collaboration	NOUN
cana-6098	271	35	workshop	workshop	NOUN
cana-6098	271	36	,	,	PUNCT
cana-6098	271	37	hosted	host	VERB
cana-6098	271	38	by	by	ADP
cana-6098	271	39	chitaly	chitaly	PROPN
cana-6098	271	40	2023	2023	NUM
cana-6098	271	41	,	,	PUNCT
cana-6098	271	42	september	september	PROPN
cana-6098	271	43	20–22	20–22	NUM
cana-6098	271	44	,	,	PUNCT
cana-6098	271	45	2023	2023	NUM
cana-6098	271	46	,	,	PUNCT
cana-6098	271	47	turin	turin	PROPN
cana-6098	271	48	,	,	PUNCT
cana-6098	271	49	italy	italy	PROPN
cana-6098	272	1	[	[	X
cana-6098	272	2	38	38	NUM
cana-6098	272	3	]	]	X
cana-6098	272	4	marian	marian	PROPN
cana-6098	272	5	pompiliu	pompiliu	PROPN
cana-6098	272	6	cristescu	cristescu	PROPN
cana-6098	272	7	et.al	et.al	PROPN
cana-6098	272	8	,	,	PUNCT
cana-6098	272	9	“	"	PUNCT
cana-6098	272	10	applying	apply	VERB
cana-6098	272	11	bert	bert	NOUN
cana-6098	272	12	and	and	CCONJ
cana-6098	272	13	vader	vader	NOUN
cana-6098	272	14	in	in	ADP
cana-6098	272	15	hr	hr	NOUN
cana-6098	272	16	sentiment	sentiment	NOUN
cana-6098	272	17	analysis	analysis	NOUN
cana-6098	272	18	”	"	PUNCT
cana-6098	272	19	,	,	PUNCT
cana-6098	272	20	journal	journal	NOUN
cana-6098	272	21	of	of	ADP
cana-6098	272	22	resource	resource	NOUN
cana-6098	272	23	management	management	NOUN
cana-6098	272	24	and	and	CCONJ
cana-6098	272	25	technology	technology	NOUN
cana-6098	272	26	,	,	PUNCT
cana-6098	272	27	creative	creative	ADJ
cana-6098	272	28	space	space	NOUN
cana-6098	272	29	association	association	NOUN
cana-6098	272	30	|	|	ADV
cana-6098	272	31	issn	issn	PROPN
cana-6098	272	32	2738	2738	NUM
cana-6098	272	33	-	-	SYM
cana-6098	272	34	8719	8719	NUM
cana-6098	272	35	,	,	PUNCT
cana-6098	272	36	issue	issue	NOUN
cana-6098	272	37	2	2	NUM
cana-6098	272	38	/	/	SYM
cana-6098	272	39	2023	2023	NUM
cana-6098	272	40	[	[	X
cana-6098	272	41	39	39	NUM
cana-6098	272	42	]	]	PUNCT
cana-6098	272	43	a.	a.	PROPN
cana-6098	272	44	radford	radford	PROPN
cana-6098	272	45	,	,	PUNCT
cana-6098	272	46	j.	j.	PROPN
cana-6098	272	47	w.	w.	PROPN
cana-6098	272	48	kim	kim	PROPN
cana-6098	272	49	,	,	PUNCT
cana-6098	272	50	t.	t.	PROPN
cana-6098	272	51	xu	xu	PROPN
cana-6098	272	52	,	,	PUNCT
cana-6098	272	53	g.	g.	PROPN
cana-6098	272	54	brockman	brockman	PROPN
cana-6098	272	55	,	,	PUNCT
cana-6098	272	56	c.	c.	PROPN
cana-6098	272	57	mcleavey	mcleavey	NOUN
cana-6098	272	58	,	,	PUNCT
cana-6098	272	59	and	and	CCONJ
cana-6098	272	60	i.	i.	PROPN
cana-6098	272	61	sutskever	sutskever	PROPN
cana-6098	272	62	,	,	PUNCT
cana-6098	272	63	“	"	PUNCT
cana-6098	272	64	robust	robust	ADJ
cana-6098	272	65	speech	speech	NOUN
cana-6098	272	66	recognition	recognition	NOUN
cana-6098	272	67	via	via	ADP
cana-6098	272	68	largescale	largescale	ADJ
cana-6098	272	69	weak	weak	ADJ
cana-6098	272	70	supervision	supervision	NOUN
cana-6098	272	71	,	,	PUNCT
cana-6098	272	72	”	"	PUNCT
cana-6098	272	73	2022	2022	NUM
cana-6098	272	74	.	.	PUNCT
cana-6098	273	1	[	[	X
cana-6098	273	2	online	online	X
cana-6098	273	3	]	]	X
cana-6098	273	4	.	.	PUNCT
cana-6098	274	1	available	available	ADJ
cana-6098	274	2	:	:	PUNCT
cana-6098	274	3	https	https	NOUN
cana-6098	274	4	:	:	PUNCT
cana-6098	274	5	//arxiv.org	//arxiv.org	PUNCT
cana-6098	274	6	/	/	SYM
cana-6098	274	7	abs/2212.04356	abs/2212.04356	NOUN
cana-6098	275	1	[	[	X
cana-6098	275	2	40	40	NUM
cana-6098	275	3	]	]	PUNCT
cana-6098	275	4	a.	a.	NOUN
cana-6098	275	5	siddhant	siddhant	NOUN
cana-6098	275	6	,	,	PUNCT
cana-6098	275	7	p.	p.	PROPN
cana-6098	275	8	jyothi	jyothi	PROPN
cana-6098	275	9	,	,	PUNCT
cana-6098	275	10	and	and	CCONJ
cana-6098	275	11	s.	s.	PROPN
cana-6098	275	12	ganapathy	ganapathy	PROPN
cana-6098	275	13	,	,	PUNCT
cana-6098	275	14	“	"	PUNCT
cana-6098	275	15	leveraging	leverage	VERB
cana-6098	275	16	native	native	ADJ
cana-6098	275	17	language	language	NOUN
cana-6098	275	18	speech	speech	NOUN
cana-6098	275	19	for	for	ADP
cana-6098	275	20	accent	accent	ADJ
cana-6098	275	21	identification	identification	NOUN
cana-6098	275	22	using	use	VERB
cana-6098	275	23	deep	deep	ADJ
cana-6098	275	24	siamese	siamese	ADJ
cana-6098	275	25	networks	network	NOUN
cana-6098	275	26	,	,	PUNCT
cana-6098	275	27	”	"	PUNCT
cana-6098	275	28	in	in	ADP
cana-6098	275	29	2017	2017	NUM
cana-6098	275	30	ieee	ieee	NOUN
cana-6098	275	31	automatic	automatic	ADJ
cana-6098	275	32	speech	speech	NOUN
cana-6098	275	33	recognition	recognition	NOUN
cana-6098	275	34	and	and	CCONJ
cana-6098	275	35	understanding	understanding	NOUN
cana-6098	275	36	workshop	workshop	NOUN
cana-6098	275	37	(	(	PUNCT
cana-6098	275	38	asru	asru	PROPN
cana-6098	275	39	)	)	PUNCT
cana-6098	275	40	,	,	PUNCT
cana-6098	275	41	2017	2017	NUM
cana-6098	275	42	,	,	PUNCT
cana-6098	275	43	pp	pp	ADJ
cana-6098	275	44	.	.	PUNCT
cana-6098	276	1	621–628	621–628	NUM
cana-6098	276	2	.	.	PUNCT
cana-6098	277	1	[	[	X
cana-6098	277	2	41	41	NUM
cana-6098	277	3	]	]	PUNCT
cana-6098	277	4	k.	k.	PROPN
cana-6098	277	5	kukk	kukk	PROPN
cana-6098	277	6	and	and	CCONJ
cana-6098	277	7	t.	t.	PROPN
cana-6098	277	8	alumae	alumae	NOUN
cana-6098	277	9	,	,	PUNCT
cana-6098	277	10	“	"	PUNCT
cana-6098	277	11	improving	improve	VERB
cana-6098	277	12	language	language	NOUN
cana-6098	277	13	identification	identification	NOUN
cana-6098	277	14	of	of	ADP
cana-6098	277	15	accented	accented	ADJ
cana-6098	277	16	speech	speech	NOUN
cana-6098	277	17	,	,	PUNCT
cana-6098	277	18	”	"	PUNCT
cana-6098	277	19	in	in	ADP
cana-6098	277	20	proc	proc	NOUN
cana-6098	277	21	.	.	PUNCT
cana-6098	278	1	interspeech	interspeech	NOUN
cana-6098	278	2	2022	2022	NUM
cana-6098	278	3	,	,	PUNCT
cana-6098	278	4	2022	2022	NUM
cana-6098	278	5	,	,	PUNCT
cana-6098	278	6	pp	pp	ADJ
cana-6098	278	7	.	.	PUNCT
cana-6098	278	8	1288–1292	1288–1292	NUM
cana-6098	278	9	.	.	PUNCT
cana-6098	279	1	[	[	X
cana-6098	279	2	42	42	NUM
cana-6098	279	3	]	]	PUNCT
cana-6098	279	4	b.	b.	PROPN
cana-6098	279	5	desplanques	desplanques	PROPN
cana-6098	279	6	,	,	PUNCT
cana-6098	279	7	j.	j.	PROPN
cana-6098	279	8	thienpondt	thienpondt	PROPN
cana-6098	279	9	,	,	PUNCT
cana-6098	279	10	and	and	CCONJ
cana-6098	279	11	k.	k.	PROPN
cana-6098	279	12	demuynck	demuynck	PROPN
cana-6098	279	13	,	,	PUNCT
cana-6098	279	14	“	"	PUNCT
cana-6098	279	15	ecapatdnn	ecapatdnn	ADV
cana-6098	279	16	:	:	PUNCT
cana-6098	279	17	emphasized	emphasize	VERB
cana-6098	279	18	channel	channel	NOUN
cana-6098	279	19	attention	attention	NOUN
cana-6098	279	20	,	,	PUNCT
cana-6098	279	21	propagation	propagation	NOUN
cana-6098	279	22	and	and	CCONJ
cana-6098	279	23	aggregation	aggregation	NOUN
cana-6098	279	24	in	in	ADP
cana-6098	279	25	tdnn	tdnn	NOUN
cana-6098	279	26	based	base	VERB
cana-6098	279	27	speaker	speaker	NOUN
cana-6098	279	28	verification	verification	NOUN
cana-6098	279	29	,	,	PUNCT
cana-6098	279	30	”	"	PUNCT
cana-6098	279	31	in	in	ADP
cana-6098	279	32	interspeech	interspeech	NOUN
cana-6098	279	33	2020	2020	NUM
cana-6098	279	34	,	,	PUNCT
cana-6098	279	35	h.	h.	PROPN
cana-6098	279	36	meng	meng	PROPN
cana-6098	279	37	,	,	PUNCT
cana-6098	279	38	b.	b.	PROPN
cana-6098	279	39	xu	xu	PROPN
cana-6098	279	40	,	,	PUNCT
cana-6098	279	41	and	and	CCONJ
cana-6098	279	42	t.	t.	PROPN
cana-6098	279	43	f.	f.	PROPN
cana-6098	279	44	zheng	zheng	PROPN
cana-6098	279	45	,	,	PUNCT
cana-6098	279	46	eds	eds	PROPN
cana-6098	279	47	.	.	PUNCT
cana-6098	279	48	isca	isca	PROPN
cana-6098	279	49	,	,	PUNCT
cana-6098	279	50	2020	2020	NUM
cana-6098	279	51	,	,	PUNCT
cana-6098	279	52	pp	pp	ADV
cana-6098	279	53	.	.	PUNCT
cana-6098	279	54	3830	3830	NUM
cana-6098	279	55	–	–	PUNCT
cana-6098	279	56	3834	3834	NUM
cana-6098	279	57	.	.	PUNCT
cana-6098	280	1	[	[	X
cana-6098	280	2	43	43	NUM
cana-6098	280	3	]	]	PUNCT
cana-6098	280	4	m.	m.	NOUN
cana-6098	280	5	ravanelli	ravanelli	PROPN
cana-6098	280	6	,	,	PUNCT
cana-6098	280	7	t.	t.	NOUN
cana-6098	280	8	parcollet	parcollet	NOUN
cana-6098	280	9	,	,	PUNCT
cana-6098	280	10	p.	p.	PROPN
cana-6098	280	11	plantinga	plantinga	NOUN
cana-6098	280	12	,	,	PUNCT
cana-6098	280	13	a.	a.	PROPN
cana-6098	280	14	rouhe	rouhe	PROPN
cana-6098	280	15	,	,	PUNCT
cana-6098	280	16	s.	s.	PROPN
cana-6098	280	17	cornell	cornell	PROPN
cana-6098	280	18	,	,	PUNCT
cana-6098	280	19	l.	l.	PROPN
cana-6098	280	20	lugosch	lugosch	PROPN
cana-6098	280	21	,	,	PUNCT
cana-6098	280	22	c.	c.	PROPN
cana-6098	280	23	subakan	subakan	PROPN
cana-6098	280	24	,	,	PUNCT
cana-6098	280	25	n.	n.	PROPN
cana-6098	280	26	dawalatabad	dawalatabad	PROPN
cana-6098	280	27	,	,	PUNCT
cana-6098	280	28	a.	a.	PROPN
cana-6098	280	29	heba	heba	PROPN
cana-6098	280	30	,	,	PUNCT
cana-6098	280	31	j.	j.	PROPN
cana-6098	280	32	zhong	zhong	PROPN
cana-6098	280	33	,	,	PUNCT
cana-6098	280	34	j.-c	j.-c	PROPN
cana-6098	280	35	.	.	PUNCT
cana-6098	281	1	chou	chou	NOUN
cana-6098	281	2	,	,	PUNCT
cana-6098	281	3	s.-l	s.-l	NOUN
cana-6098	281	4	.	.	PUNCT
cana-6098	282	1	yeh	yeh	PROPN
cana-6098	282	2	,	,	PUNCT
cana-6098	282	3	s.-w	s.-w	PROPN
cana-6098	282	4	.	.	PUNCT
cana-6098	283	1	fu	fu	ADJ
cana-6098	283	2	,	,	PUNCT
cana-6098	283	3	c.-f	c.-f	NOUN
cana-6098	283	4	.	.	PUNCT
cana-6098	284	1	liao	liao	PROPN
cana-6098	284	2	,	,	PUNCT
cana-6098	284	3	e.	e.	PROPN
cana-6098	284	4	rastorgueva	rastorgueva	PROPN
cana-6098	284	5	,	,	PUNCT
cana-6098	284	6	f.	f.	PROPN
cana-6098	284	7	grondin	grondin	PROPN
cana-6098	284	8	,	,	PUNCT
cana-6098	284	9	w.	w.	PROPN
cana-6098	284	10	aris	aris	PROPN
cana-6098	284	11	,	,	PUNCT
cana-6098	284	12	h.	h.	PROPN
cana-6098	284	13	na	na	PROPN
cana-6098	284	14	,	,	PUNCT
cana-6098	284	15	y.	y.	PROPN
cana-6098	284	16	gao	gao	PROPN
cana-6098	284	17	,	,	PUNCT
cana-6098	284	18	r.	r.	PROPN
cana-6098	284	19	d.	d.	PROPN
cana-6098	284	20	mori	mori	PROPN
cana-6098	284	21	,	,	PUNCT
cana-6098	284	22	and	and	CCONJ
cana-6098	284	23	y.	y.	PROPN
cana-6098	284	24	bengio	bengio	PROPN
cana-6098	284	25	,	,	PUNCT
cana-6098	284	26	“	"	PUNCT
cana-6098	284	27	speechbrain	speechbrain	NOUN
cana-6098	284	28	:	:	PUNCT
cana-6098	284	29	a	a	DET
cana-6098	284	30	general	general	ADJ
cana-6098	284	31	-	-	PUNCT
cana-6098	284	32	purpose	purpose	NOUN
cana-6098	284	33	speech	speech	NOUN
cana-6098	284	34	toolkit	toolkit	NOUN
cana-6098	284	35	,	,	PUNCT
cana-6098	284	36	”	"	PUNCT
cana-6098	284	37	2021,arxiv:2106.04624	2021,arxiv:2106.04624	NUM
cana-6098	284	38	.	.	PUNCT