id	sid	tid	token	lemma	pos
cana-5163	1	1	communications	communication	NOUN
cana-5163	1	2	on	on	ADP
cana-5163	1	3	applied	apply	VERB
cana-5163	1	4	nonlinear	nonlinear	ADJ
cana-5163	1	5	analysis	analysis	NOUN
cana-5163	1	6	issn	issn	NOUN
cana-5163	1	7	:	:	PUNCT
cana-5163	1	8	1074	1074	NUM
cana-5163	1	9	-	-	PUNCT
cana-5163	1	10	133x	133x	NUM
cana-5163	1	11	vol	vol	NOUN
cana-5163	1	12	32	32	NUM
cana-5163	1	13	no	no	NOUN
cana-5163	1	14	.	.	PUNCT
cana-5163	2	1	icmasd	icmasd	NOUN
cana-5163	2	2	(	(	PUNCT
cana-5163	2	3	2025	2025	NUM
cana-5163	2	4	)	)	PUNCT
cana-5163	2	5	1388	1388	NUM
cana-5163	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	2	7	deep	deep	ADJ
cana-5163	2	8	learning	learning	NOUN
cana-5163	2	9	and	and	CCONJ
cana-5163	2	10	natural	natural	ADJ
cana-5163	2	11	language	language	NOUN
cana-5163	2	12	processing	processing	NOUN
cana-5163	2	13	techniques	technique	NOUN
cana-5163	2	14	for	for	ADP
cana-5163	2	15	depression	depression	NOUN
cana-5163	2	16	detection	detection	NOUN
cana-5163	2	17	in	in	ADP
cana-5163	2	18	social	social	ADJ
cana-5163	2	19	media	medium	NOUN
cana-5163	2	20	texts	text	NOUN
cana-5163	2	21	:	:	PUNCT
cana-5163	2	22	a	a	DET
cana-5163	2	23	comprehensive	comprehensive	ADJ
cana-5163	2	24	review	review	NOUN
cana-5163	2	25	neelam	neelam	PROPN
cana-5163	2	26	kumari1	kumari1	PROPN
cana-5163	2	27	,	,	PUNCT
cana-5163	2	28	jagdeep	jagdeep	NOUN
cana-5163	2	29	kaur2	kaur2	PROPN
cana-5163	3	1	1research	1research	NUM
cana-5163	3	2	scholar	scholar	NOUN
cana-5163	3	3	,	,	PUNCT
cana-5163	3	4	sant	sant	ADJ
cana-5163	3	5	baba	baba	PROPN
cana-5163	3	6	bhag	bhag	PROPN
cana-5163	3	7	singh	singh	PROPN
cana-5163	3	8	university	university	PROPN
cana-5163	3	9	,	,	PUNCT
cana-5163	3	10	jalandhar	jalandhar	PROPN
cana-5163	3	11	,	,	PUNCT
cana-5163	3	12	india	india	PROPN
cana-5163	3	13	2professor	2professor	PROPN
cana-5163	3	14	,	,	PUNCT
cana-5163	3	15	cse	cse	NOUN
cana-5163	3	16	,	,	PUNCT
cana-5163	3	17	sant	sant	PROPN
cana-5163	3	18	baba	baba	PROPN
cana-5163	3	19	bhag	bhag	PROPN
cana-5163	3	20	singh	singh	PROPN
cana-5163	3	21	university	university	PROPN
cana-5163	3	22	,	,	PUNCT
cana-5163	3	23	jalandhar	jalandhar	PROPN
cana-5163	3	24	,	,	PUNCT
cana-5163	3	25	india	india	PROPN
cana-5163	3	26	ndidhra1403@gmail.com	ndidhra1403@gmail.com	PROPN
cana-5163	3	27	,	,	PUNCT
cana-5163	3	28	universitysbbsuuiet@gmail.com	universitysbbsuuiet@gmail.com	X
cana-5163	3	29	article	article	NOUN
cana-5163	3	30	history	history	NOUN
cana-5163	3	31	:	:	PUNCT
cana-5163	3	32	received	receive	VERB
cana-5163	3	33	:	:	PUNCT
cana-5163	3	34	12	12	NUM
cana-5163	3	35	-	-	SYM
cana-5163	3	36	12	12	NUM
cana-5163	3	37	-	-	PUNCT
cana-5163	3	38	2024	2024	NUM
cana-5163	3	39	revised	revise	VERB
cana-5163	3	40	:	:	PUNCT
cana-5163	3	41	25	25	NUM
cana-5163	3	42	-	-	PUNCT
cana-5163	3	43	01	01	NUM
cana-5163	3	44	-	-	PUNCT
cana-5163	3	45	2025	2025	NUM
cana-5163	3	46	accepted	accept	VERB
cana-5163	3	47	:	:	PUNCT
cana-5163	3	48	05	05	NUM
cana-5163	3	49	-	-	PUNCT
cana-5163	3	50	02	02	NUM
cana-5163	3	51	-	-	PUNCT
cana-5163	3	52	2025	2025	NUM
cana-5163	3	53	abstract	abstract	NOUN
cana-5163	3	54	:	:	PUNCT
cana-5163	3	55	with	with	ADP
cana-5163	3	56	the	the	DET
cana-5163	3	57	increased	increase	VERB
cana-5163	3	58	prevalence	prevalence	NOUN
cana-5163	3	59	of	of	ADP
cana-5163	3	60	social	social	ADJ
cana-5163	3	61	media	medium	NOUN
cana-5163	3	62	,	,	PUNCT
cana-5163	3	63	depression	depression	NOUN
cana-5163	3	64	is	be	AUX
cana-5163	3	65	becoming	become	VERB
cana-5163	3	66	a	a	DET
cana-5163	3	67	prominent	prominent	ADJ
cana-5163	3	68	health	health	NOUN
cana-5163	3	69	issue	issue	NOUN
cana-5163	3	70	worldwide	worldwide	ADV
cana-5163	3	71	and	and	CCONJ
cana-5163	3	72	it	it	PRON
cana-5163	3	73	has	have	AUX
cana-5163	3	74	opened	open	VERB
cana-5163	3	75	new	new	ADJ
cana-5163	3	76	opportunities	opportunity	NOUN
cana-5163	3	77	for	for	SCONJ
cana-5163	3	78	researchers	researcher	NOUN
cana-5163	3	79	to	to	PART
cana-5163	3	80	explore	explore	VERB
cana-5163	3	81	new	new	ADJ
cana-5163	3	82	techniques	technique	NOUN
cana-5163	3	83	for	for	ADP
cana-5163	3	84	depression	depression	NOUN
cana-5163	3	85	detection	detection	NOUN
cana-5163	3	86	in	in	ADP
cana-5163	3	87	social	social	ADJ
cana-5163	3	88	media	medium	NOUN
cana-5163	3	89	texts	text	NOUN
cana-5163	3	90	.	.	PUNCT
cana-5163	4	1	according	accord	VERB
cana-5163	4	2	to	to	ADP
cana-5163	4	3	the	the	DET
cana-5163	4	4	world	world	PROPN
cana-5163	4	5	health	health	NOUN
cana-5163	4	6	organization	organization	NOUN
cana-5163	4	7	(	(	PUNCT
cana-5163	4	8	who	who	PRON
cana-5163	4	9	)	)	PUNCT
cana-5163	4	10	depression	depression	NOUN
cana-5163	4	11	may	may	AUX
cana-5163	4	12	lead	lead	VERB
cana-5163	4	13	to	to	ADP
cana-5163	4	14	various	various	ADJ
cana-5163	4	15	mental	mental	ADJ
cana-5163	4	16	health	health	NOUN
cana-5163	4	17	diseases	disease	NOUN
cana-5163	4	18	and	and	CCONJ
cana-5163	4	19	suicide	suicide	NOUN
cana-5163	4	20	if	if	SCONJ
cana-5163	4	21	not	not	PART
cana-5163	4	22	detected	detect	VERB
cana-5163	4	23	at	at	ADP
cana-5163	4	24	an	an	DET
cana-5163	4	25	early	early	ADJ
cana-5163	4	26	stage	stage	NOUN
cana-5163	4	27	.	.	PUNCT
cana-5163	5	1	deep	deep	ADJ
cana-5163	5	2	learning	learning	NOUN
cana-5163	5	3	and	and	CCONJ
cana-5163	5	4	natural	natural	ADJ
cana-5163	5	5	language	language	NOUN
cana-5163	5	6	processing	processing	NOUN
cana-5163	5	7	are	be	AUX
cana-5163	5	8	becoming	becoming	AUX
cana-5163	5	9	widely	widely	ADV
cana-5163	5	10	adopted	adopt	VERB
cana-5163	5	11	techniques	technique	NOUN
cana-5163	5	12	among	among	ADP
cana-5163	5	13	researchers	researcher	NOUN
cana-5163	5	14	.	.	PUNCT
cana-5163	6	1	this	this	DET
cana-5163	6	2	review	review	NOUN
cana-5163	6	3	provides	provide	VERB
cana-5163	6	4	a	a	DET
cana-5163	6	5	thorough	thorough	ADJ
cana-5163	6	6	examination	examination	NOUN
cana-5163	6	7	of	of	ADP
cana-5163	6	8	these	these	DET
cana-5163	6	9	techniques	technique	NOUN
cana-5163	6	10	for	for	ADP
cana-5163	6	11	depression	depression	NOUN
cana-5163	6	12	detection	detection	NOUN
cana-5163	6	13	in	in	ADP
cana-5163	6	14	posts	post	NOUN
cana-5163	6	15	of	of	ADP
cana-5163	6	16	users	user	NOUN
cana-5163	6	17	.	.	PUNCT
cana-5163	7	1	these	these	DET
cana-5163	7	2	techniques	technique	NOUN
cana-5163	7	3	are	be	AUX
cana-5163	7	4	harnessed	harness	VERB
cana-5163	7	5	to	to	PART
cana-5163	7	6	identify	identify	VERB
cana-5163	7	7	linguistic	linguistic	ADJ
cana-5163	7	8	markers	marker	NOUN
cana-5163	7	9	related	relate	VERB
cana-5163	7	10	depression	depression	NOUN
cana-5163	7	11	such	such	ADJ
cana-5163	7	12	as	as	ADP
cana-5163	7	13	sentiment	sentiment	NOUN
cana-5163	7	14	and	and	CCONJ
cana-5163	7	15	emotional	emotional	ADJ
cana-5163	7	16	tone	tone	NOUN
cana-5163	7	17	and	and	CCONJ
cana-5163	7	18	capture	capture	VERB
cana-5163	7	19	temporal	temporal	ADJ
cana-5163	7	20	dependencies	dependency	NOUN
cana-5163	7	21	in	in	ADP
cana-5163	7	22	texts	text	NOUN
cana-5163	7	23	.	.	PUNCT
cana-5163	8	1	transformer	transformer	NOUN
cana-5163	8	2	models	model	NOUN
cana-5163	8	3	represent	represent	VERB
cana-5163	8	4	the	the	DET
cana-5163	8	5	next	next	ADJ
cana-5163	8	6	level	level	NOUN
cana-5163	8	7	of	of	ADP
cana-5163	8	8	deep	deep	ADJ
cana-5163	8	9	learning	learning	NOUN
cana-5163	8	10	techniques	technique	NOUN
cana-5163	8	11	,	,	PUNCT
cana-5163	8	12	enhanced	enhance	VERB
cana-5163	8	13	with	with	ADP
cana-5163	8	14	self	self	NOUN
cana-5163	8	15	-	-	PUNCT
cana-5163	8	16	attention	attention	NOUN
cana-5163	8	17	mechanism	mechanism	NOUN
cana-5163	8	18	that	that	PRON
cana-5163	8	19	enables	enable	VERB
cana-5163	8	20	the	the	DET
cana-5163	8	21	automatic	automatic	ADJ
cana-5163	8	22	analysis	analysis	NOUN
cana-5163	8	23	of	of	ADP
cana-5163	8	24	text	text	NOUN
cana-5163	8	25	sequences	sequence	NOUN
cana-5163	8	26	over	over	ADP
cana-5163	8	27	time	time	NOUN
cana-5163	8	28	,	,	PUNCT
cana-5163	8	29	sematic	sematic	ADJ
cana-5163	8	30	feature	feature	NOUN
cana-5163	8	31	extraction	extraction	NOUN
cana-5163	8	32	and	and	CCONJ
cana-5163	8	33	the	the	DET
cana-5163	8	34	interpretation	interpretation	NOUN
cana-5163	8	35	of	of	ADP
cana-5163	8	36	context	context	NOUN
cana-5163	8	37	-	-	PUNCT
cana-5163	8	38	sensitive	sensitive	ADJ
cana-5163	8	39	language	language	NOUN
cana-5163	8	40	.	.	PUNCT
cana-5163	9	1	multimodal	multimodal	NOUN
cana-5163	9	2	approaches	approach	NOUN
cana-5163	9	3	using	use	VERB
cana-5163	9	4	these	these	DET
cana-5163	9	5	techniques	technique	NOUN
cana-5163	9	6	integrate	integrate	VERB
cana-5163	9	7	textual	textual	ADJ
cana-5163	9	8	and	and	CCONJ
cana-5163	9	9	visual	visual	ADJ
cana-5163	9	10	data	datum	NOUN
cana-5163	9	11	to	to	PART
cana-5163	9	12	improve	improve	VERB
cana-5163	9	13	the	the	DET
cana-5163	9	14	accuracy	accuracy	NOUN
cana-5163	9	15	of	of	ADP
cana-5163	9	16	depression	depression	NOUN
cana-5163	9	17	detection	detection	NOUN
cana-5163	9	18	.	.	PUNCT
cana-5163	10	1	despite	despite	SCONJ
cana-5163	10	2	notable	notable	ADJ
cana-5163	10	3	advancements	advancement	NOUN
cana-5163	10	4	,	,	PUNCT
cana-5163	10	5	still	still	ADV
cana-5163	10	6	there	there	PRON
cana-5163	10	7	are	be	VERB
cana-5163	10	8	many	many	ADJ
cana-5163	10	9	challenges	challenge	NOUN
cana-5163	10	10	to	to	PART
cana-5163	10	11	address	address	VERB
cana-5163	10	12	such	such	ADJ
cana-5163	10	13	as	as	ADP
cana-5163	10	14	data	data	NOUN
cana-5163	10	15	availability	availability	NOUN
cana-5163	10	16	,	,	PUNCT
cana-5163	10	17	privacy	privacy	NOUN
cana-5163	10	18	and	and	CCONJ
cana-5163	10	19	ethical	ethical	ADJ
cana-5163	10	20	and	and	CCONJ
cana-5163	10	21	model	model	NOUN
cana-5163	10	22	interpretability	interpretability	NOUN
cana-5163	10	23	.	.	PUNCT
cana-5163	11	1	primary	primary	ADJ
cana-5163	11	2	aim	aim	NOUN
cana-5163	11	3	of	of	ADP
cana-5163	11	4	this	this	DET
cana-5163	11	5	paper	paper	NOUN
cana-5163	11	6	is	be	AUX
cana-5163	11	7	to	to	PART
cana-5163	11	8	explore	explore	VERB
cana-5163	11	9	concepts	concept	NOUN
cana-5163	11	10	such	such	ADJ
cana-5163	11	11	as	as	ADP
cana-5163	11	12	evolution	evolution	NOUN
cana-5163	11	13	of	of	ADP
cana-5163	11	14	techniques	technique	NOUN
cana-5163	11	15	,	,	PUNCT
cana-5163	11	16	deep	deep	ADJ
cana-5163	11	17	learning	learning	NOUN
cana-5163	11	18	and	and	CCONJ
cana-5163	11	19	nlp	nlp	NOUN
cana-5163	11	20	for	for	ADP
cana-5163	11	21	depression	depression	NOUN
cana-5163	11	22	detection	detection	NOUN
cana-5163	11	23	,	,	PUNCT
cana-5163	11	24	dataset	dataset	VERB
cana-5163	11	25	for	for	ADP
cana-5163	11	26	testing	testing	NOUN
cana-5163	11	27	and	and	CCONJ
cana-5163	11	28	research	research	NOUN
cana-5163	11	29	gaps	gap	NOUN
cana-5163	11	30	and	and	CCONJ
cana-5163	11	31	future	future	ADJ
cana-5163	11	32	directions	direction	NOUN
cana-5163	11	33	.	.	PUNCT
cana-5163	12	1	we	we	PRON
cana-5163	12	2	conducted	conduct	VERB
cana-5163	12	3	a	a	DET
cana-5163	12	4	systematic	systematic	ADJ
cana-5163	12	5	literature	literature	NOUN
cana-5163	12	6	review	review	NOUN
cana-5163	12	7	(	(	PUNCT
cana-5163	12	8	slr	slr	NOUN
cana-5163	12	9	)	)	PUNCT
cana-5163	12	10	on	on	ADP
cana-5163	12	11	research	research	NOUN
cana-5163	12	12	and	and	CCONJ
cana-5163	12	13	review	review	NOUN
cana-5163	12	14	studies	study	NOUN
cana-5163	12	15	published	publish	VERB
cana-5163	12	16	in	in	ADP
cana-5163	12	17	various	various	ADJ
cana-5163	12	18	conferences	conference	NOUN
cana-5163	12	19	and	and	CCONJ
cana-5163	12	20	peer	peer	NOUN
cana-5163	12	21	-	-	PUNCT
cana-5163	12	22	reviewed	review	VERB
cana-5163	12	23	journals	journal	NOUN
cana-5163	12	24	.	.	PUNCT
cana-5163	13	1	at	at	ADP
cana-5163	13	2	last	last	ADV
cana-5163	13	3	,	,	PUNCT
cana-5163	13	4	we	we	PRON
cana-5163	13	5	provided	provide	VERB
cana-5163	13	6	the	the	DET
cana-5163	13	7	brief	brief	ADJ
cana-5163	13	8	summary	summary	NOUN
cana-5163	13	9	of	of	ADP
cana-5163	13	10	key	key	ADJ
cana-5163	13	11	findings	finding	NOUN
cana-5163	13	12	.	.	PUNCT
cana-5163	14	1	keywords	keyword	NOUN
cana-5163	14	2	:	:	PUNCT
cana-5163	14	3	deep	deep	ADJ
cana-5163	14	4	learning	learning	NOUN
cana-5163	14	5	,	,	PUNCT
cana-5163	14	6	natural	natural	ADJ
cana-5163	14	7	language	language	NOUN
cana-5163	14	8	processing	processing	NOUN
cana-5163	14	9	,	,	PUNCT
cana-5163	14	10	depression	depression	NOUN
cana-5163	14	11	,	,	PUNCT
cana-5163	14	12	social	social	ADJ
cana-5163	14	13	media	medium	NOUN
cana-5163	14	14	,	,	PUNCT
cana-5163	14	15	mental	mental	ADJ
cana-5163	14	16	health	health	NOUN
cana-5163	14	17	.	.	PUNCT
cana-5163	15	1	1	1	X
cana-5163	15	2	.	.	X
cana-5163	15	3	introduction	introduction	NOUN
cana-5163	15	4	social	social	ADJ
cana-5163	15	5	media	medium	NOUN
cana-5163	15	6	become	become	VERB
cana-5163	15	7	an	an	DET
cana-5163	15	8	essential	essential	ADJ
cana-5163	15	9	platform	platform	NOUN
cana-5163	15	10	for	for	ADP
cana-5163	15	11	connecting	connect	VERB
cana-5163	15	12	,	,	PUNCT
cana-5163	15	13	discovering	discover	VERB
cana-5163	15	14	and	and	CCONJ
cana-5163	15	15	interacting	interact	VERB
cana-5163	15	16	with	with	ADP
cana-5163	15	17	people	people	NOUN
cana-5163	15	18	globally	globally	ADV
cana-5163	15	19	.	.	PUNCT
cana-5163	16	1	facebook	facebook	NOUN
cana-5163	16	2	,	,	PUNCT
cana-5163	16	3	reddit	reddit	NOUN
cana-5163	16	4	,	,	PUNCT
cana-5163	16	5	twitter	twitter	NOUN
cana-5163	16	6	and	and	CCONJ
cana-5163	16	7	instagram	instagram	PROPN
cana-5163	16	8	are	be	AUX
cana-5163	16	9	widely	widely	ADV
cana-5163	16	10	used	use	VERB
cana-5163	16	11	platforms	platform	NOUN
cana-5163	16	12	where	where	SCONJ
cana-5163	16	13	users	user	NOUN
cana-5163	16	14	express	express	VERB
cana-5163	16	15	their	their	PRON
cana-5163	16	16	feelings	feeling	NOUN
cana-5163	16	17	,	,	PUNCT
cana-5163	16	18	exchange	exchange	NOUN
cana-5163	16	19	thoughts	thought	NOUN
cana-5163	16	20	and	and	CCONJ
cana-5163	16	21	document	document	VERB
cana-5163	16	22	their	their	PRON
cana-5163	16	23	daily	daily	ADJ
cana-5163	16	24	activities	activity	NOUN
cana-5163	16	25	through	through	ADP
cana-5163	16	26	text	text	NOUN
cana-5163	16	27	,	,	PUNCT
cana-5163	16	28	blogs	blog	NOUN
cana-5163	16	29	and	and	CCONJ
cana-5163	16	30	emojis	emoji	NOUN
cana-5163	16	31	.	.	PUNCT
cana-5163	17	1	but	but	CCONJ
cana-5163	17	2	extensive	extensive	ADJ
cana-5163	17	3	use	use	NOUN
cana-5163	17	4	of	of	ADP
cana-5163	17	5	social	social	ADJ
cana-5163	17	6	media	medium	NOUN
cana-5163	17	7	leads	lead	VERB
cana-5163	17	8	to	to	ADP
cana-5163	17	9	the	the	DET
cana-5163	17	10	depression	depression	NOUN
cana-5163	17	11	in	in	ADP
cana-5163	17	12	users	user	NOUN
cana-5163	17	13	all	all	ADV
cana-5163	17	14	around	around	ADP
cana-5163	17	15	the	the	DET
cana-5163	17	16	world	world	NOUN
cana-5163	17	17	,	,	PUNCT
cana-5163	17	18	which	which	PRON
cana-5163	17	19	is	be	AUX
cana-5163	17	20	a	a	DET
cana-5163	17	21	prominent	prominent	ADJ
cana-5163	17	22	cause	cause	NOUN
cana-5163	17	23	of	of	ADP
cana-5163	17	24	mental	mental	ADJ
cana-5163	17	25	illness	illness	NOUN
cana-5163	17	26	if	if	SCONJ
cana-5163	17	27	left	leave	VERB
cana-5163	17	28	undetected	undetecte	VERB
cana-5163	17	29	.	.	PUNCT
cana-5163	18	1	a	a	DET
cana-5163	18	2	report	report	NOUN
cana-5163	18	3	from	from	ADP
cana-5163	18	4	the	the	PRON
cana-5163	18	5	who	who	PRON
cana-5163	18	6	states	state	VERB
cana-5163	18	7	that	that	SCONJ
cana-5163	18	8	1	1	NUM
cana-5163	18	9	in	in	ADP
cana-5163	18	10	every	every	DET
cana-5163	18	11	8	8	NUM
cana-5163	18	12	individuals	individual	NOUN
cana-5163	18	13	worldwide	worldwide	ADV
cana-5163	18	14	suffers	suffer	VERB
cana-5163	18	15	from	from	ADP
cana-5163	18	16	depression	depression	NOUN
cana-5163	18	17	,	,	PUNCT
cana-5163	18	18	which	which	PRON
cana-5163	18	19	can	can	AUX
cana-5163	18	20	be	be	AUX
cana-5163	18	21	treated	treat	VERB
cana-5163	18	22	if	if	SCONJ
cana-5163	18	23	recognized	recognize	VERB
cana-5163	18	24	at	at	ADP
cana-5163	18	25	an	an	DET
cana-5163	18	26	earlier	early	ADJ
cana-5163	18	27	stage	stage	NOUN
cana-5163	18	28	(	(	PUNCT
cana-5163	18	29	tahir	tahir	PROPN
cana-5163	18	30	,	,	PUNCT
cana-5163	18	31	khalid	khalid	PROPN
cana-5163	18	32	,	,	PUNCT
cana-5163	18	33	almutairi	almutairi	PROPN
cana-5163	18	34	,	,	PUNCT
cana-5163	18	35	memon	memon	PROPN
cana-5163	18	36	,	,	PUNCT
cana-5163	18	37	&	&	CCONJ
cana-5163	18	38	khan	khan	PROPN
cana-5163	18	39	,	,	PUNCT
cana-5163	18	40	2025).depression	2025).depression	NUM
cana-5163	18	41	not	not	PART
cana-5163	18	42	only	only	ADV
cana-5163	18	43	contributes	contribute	VERB
cana-5163	18	44	to	to	ADP
cana-5163	18	45	mental	mental	ADJ
cana-5163	18	46	health	health	NOUN
cana-5163	18	47	disorders	disorder	NOUN
cana-5163	18	48	but	but	CCONJ
cana-5163	18	49	can	can	AUX
cana-5163	18	50	also	also	ADV
cana-5163	18	51	lead	lead	VERB
cana-5163	18	52	to	to	ADP
cana-5163	18	53	suicide	suicide	NOUN
cana-5163	18	54	and	and	CCONJ
cana-5163	18	55	impulsive	impulsive	ADJ
cana-5163	18	56	behaviors	behavior	NOUN
cana-5163	18	57	such	such	ADJ
cana-5163	18	58	as	as	ADP
cana-5163	18	59	self	self	NOUN
cana-5163	18	60	-	-	PUNCT
cana-5163	18	61	harm	harm	NOUN
cana-5163	18	62	or	or	CCONJ
cana-5163	18	63	other	other	ADJ
cana-5163	18	64	dangerous	dangerous	ADJ
cana-5163	18	65	actions	action	NOUN
cana-5163	18	66	mailto:ndidhra1403@gmail.com	mailto:ndidhra1403@gmail.com	PROPN
cana-5163	18	67	communications	communication	NOUN
cana-5163	18	68	on	on	ADP
cana-5163	18	69	applied	apply	VERB
cana-5163	18	70	nonlinear	nonlinear	ADJ
cana-5163	18	71	analysis	analysis	NOUN
cana-5163	18	72	issn	issn	NOUN
cana-5163	18	73	:	:	PUNCT
cana-5163	18	74	1074	1074	NUM
cana-5163	18	75	-	-	PUNCT
cana-5163	18	76	133x	133x	NUM
cana-5163	18	77	vol	vol	NOUN
cana-5163	18	78	32	32	NUM
cana-5163	18	79	no	no	NOUN
cana-5163	18	80	.	.	PUNCT
cana-5163	19	1	icmasd	icmasd	NOUN
cana-5163	19	2	(	(	PUNCT
cana-5163	19	3	2025	2025	NUM
cana-5163	19	4	)	)	PUNCT
cana-5163	19	5	1389	1389	NUM
cana-5163	19	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	19	7	(	(	PUNCT
cana-5163	19	8	tahir	tahir	PROPN
cana-5163	19	9	et	et	PROPN
cana-5163	19	10	al	al	PROPN
cana-5163	19	11	.	.	PROPN
cana-5163	19	12	,	,	PUNCT
cana-5163	19	13	2025	2025	NUM
cana-5163	19	14	)	)	PUNCT
cana-5163	19	15	.	.	PUNCT
cana-5163	20	1	suicide	suicide	NOUN
cana-5163	20	2	rates	rate	NOUN
cana-5163	20	3	have	have	AUX
cana-5163	20	4	been	be	AUX
cana-5163	20	5	steadily	steadily	ADV
cana-5163	20	6	rising	rise	VERB
cana-5163	20	7	,	,	PUNCT
cana-5163	20	8	with	with	ADP
cana-5163	20	9	a	a	DET
cana-5163	20	10	recent	recent	ADJ
cana-5163	20	11	who	who	PRON
cana-5163	20	12	report	report	VERB
cana-5163	20	13	indicating	indicate	VERB
cana-5163	20	14	that	that	SCONJ
cana-5163	20	15	in	in	ADP
cana-5163	20	16	2021	2021	NUM
cana-5163	20	17	,	,	PUNCT
cana-5163	20	18	approximately	approximately	ADV
cana-5163	20	19	14,000	14,000	NUM
cana-5163	20	20	individuals	individual	NOUN
cana-5163	20	21	worldwide	worldwide	ADV
cana-5163	20	22	died	die	VERB
cana-5163	20	23	by	by	ADP
cana-5163	20	24	suicide	suicide	NOUN
cana-5163	20	25	(	(	PUNCT
cana-5163	20	26	vasha	vasha	PROPN
cana-5163	20	27	,	,	PUNCT
cana-5163	20	28	sharma	sharma	PROPN
cana-5163	20	29	,	,	PUNCT
cana-5163	20	30	esha	esha	PROPN
cana-5163	20	31	,	,	PUNCT
cana-5163	20	32	al	al	PROPN
cana-5163	20	33	nahian	nahian	PROPN
cana-5163	20	34	,	,	PUNCT
cana-5163	20	35	&	&	CCONJ
cana-5163	20	36	polin	polin	PROPN
cana-5163	20	37	,	,	PUNCT
cana-5163	20	38	2023	2023	NUM
cana-5163	20	39	)	)	PUNCT
cana-5163	20	40	.	.	PUNCT
cana-5163	21	1	early	early	ADJ
cana-5163	21	2	detection	detection	NOUN
cana-5163	21	3	of	of	ADP
cana-5163	21	4	mental	mental	ADJ
cana-5163	21	5	health	health	NOUN
cana-5163	21	6	issues	issue	NOUN
cana-5163	21	7	is	be	AUX
cana-5163	21	8	crucial	crucial	ADJ
cana-5163	21	9	in	in	ADP
cana-5163	21	10	preventing	prevent	VERB
cana-5163	21	11	severe	severe	ADJ
cana-5163	21	12	disorders	disorder	NOUN
cana-5163	21	13	and	and	CCONJ
cana-5163	21	14	reducing	reduce	VERB
cana-5163	21	15	the	the	DET
cana-5163	21	16	risk	risk	NOUN
cana-5163	21	17	of	of	ADP
cana-5163	21	18	suicide	suicide	NOUN
cana-5163	21	19	.	.	PUNCT
cana-5163	22	1	natural	natural	ADJ
cana-5163	22	2	language	language	NOUN
cana-5163	22	3	processing	processing	NOUN
cana-5163	22	4	(	(	PUNCT
cana-5163	22	5	nlp	nlp	NOUN
cana-5163	22	6	)	)	PUNCT
cana-5163	22	7	has	have	AUX
cana-5163	22	8	emerged	emerge	VERB
cana-5163	22	9	as	as	ADP
cana-5163	22	10	a	a	DET
cana-5163	22	11	prominent	prominent	ADJ
cana-5163	22	12	field	field	NOUN
cana-5163	22	13	for	for	ADP
cana-5163	22	14	sentiment	sentiment	NOUN
cana-5163	22	15	analysis	analysis	NOUN
cana-5163	22	16	and	and	CCONJ
cana-5163	22	17	emotional	emotional	ADJ
cana-5163	22	18	feature	feature	NOUN
cana-5163	22	19	extraction	extraction	NOUN
cana-5163	22	20	,	,	PUNCT
cana-5163	22	21	in	in	ADP
cana-5163	22	22	conjunction	conjunction	NOUN
cana-5163	22	23	with	with	ADP
cana-5163	22	24	machine	machine	NOUN
cana-5163	22	25	learning	learning	NOUN
cana-5163	22	26	(	(	PUNCT
cana-5163	22	27	ml	ml	NOUN
cana-5163	22	28	)	)	PUNCT
cana-5163	22	29	and	and	CCONJ
cana-5163	22	30	deep	deep	ADJ
cana-5163	22	31	learning	learning	NOUN
cana-5163	22	32	(	(	PUNCT
cana-5163	22	33	dl	dl	NOUN
cana-5163	22	34	)	)	PUNCT
cana-5163	22	35	models	model	NOUN
cana-5163	22	36	,	,	PUNCT
cana-5163	22	37	to	to	PART
cana-5163	22	38	aid	aid	VERB
cana-5163	22	39	in	in	ADP
cana-5163	22	40	the	the	DET
cana-5163	22	41	detection	detection	NOUN
cana-5163	22	42	of	of	ADP
cana-5163	22	43	depression	depression	NOUN
cana-5163	22	44	.	.	PUNCT
cana-5163	23	1	figure	figure	NOUN
cana-5163	23	2	1	1	NUM
cana-5163	23	3	:	:	PUNCT
cana-5163	23	4	outline	outline	NOUN
cana-5163	23	5	of	of	ADP
cana-5163	23	6	the	the	DET
cana-5163	23	7	paper	paper	NOUN
cana-5163	23	8	structure	structure	NOUN
cana-5163	23	9	.	.	PUNCT
cana-5163	24	1	in	in	ADP
cana-5163	24	2	early	early	ADJ
cana-5163	24	3	studies	study	NOUN
cana-5163	24	4	,	,	PUNCT
cana-5163	24	5	machine	machine	NOUN
cana-5163	24	6	learning	learn	VERB
cana-5163	24	7	classifiers	classifier	NOUN
cana-5163	24	8	such	such	ADJ
cana-5163	24	9	as	as	ADP
cana-5163	24	10	support	support	NOUN
cana-5163	24	11	vector	vector	NOUN
cana-5163	24	12	machines	machine	NOUN
cana-5163	24	13	(	(	PUNCT
cana-5163	24	14	svm	svm	PROPN
cana-5163	24	15	)	)	PUNCT
cana-5163	24	16	,	,	PUNCT
cana-5163	24	17	naive	naive	ADJ
cana-5163	24	18	bayes	bayes	NOUN
cana-5163	24	19	(	(	PUNCT
cana-5163	24	20	nb	nb	NOUN
cana-5163	24	21	)	)	PUNCT
cana-5163	24	22	,	,	PUNCT
cana-5163	24	23	decision	decision	NOUN
cana-5163	24	24	trees	tree	NOUN
cana-5163	24	25	(	(	PUNCT
cana-5163	24	26	dt	dt	PROPN
cana-5163	24	27	)	)	PUNCT
cana-5163	24	28	,	,	PUNCT
cana-5163	24	29	random	random	ADJ
cana-5163	24	30	forests	forest	NOUN
cana-5163	24	31	(	(	PUNCT
cana-5163	24	32	rf	rf	NOUN
cana-5163	24	33	)	)	PUNCT
cana-5163	24	34	,	,	PUNCT
cana-5163	24	35	k	k	X
cana-5163	24	36	-	-	PUNCT
cana-5163	24	37	nearest	near	ADJ
cana-5163	24	38	neighbors	neighbor	NOUN
cana-5163	24	39	(	(	PUNCT
cana-5163	24	40	knn	knn	PROPN
cana-5163	24	41	)	)	PUNCT
cana-5163	24	42	,	,	PUNCT
cana-5163	24	43	and	and	CCONJ
cana-5163	24	44	logistic	logistic	ADJ
cana-5163	24	45	regression	regression	NOUN
cana-5163	24	46	(	(	PUNCT
cana-5163	24	47	lr	lr	NOUN
cana-5163	24	48	)	)	PUNCT
cana-5163	24	49	were	be	AUX
cana-5163	24	50	predominantly	predominantly	ADV
cana-5163	24	51	employed	employ	VERB
cana-5163	24	52	for	for	ADP
cana-5163	24	53	classifying	classify	VERB
cana-5163	24	54	user	user	NOUN
cana-5163	24	55	posts	post	NOUN
cana-5163	24	56	into	into	ADP
cana-5163	24	57	two	two	NUM
cana-5163	24	58	categories	category	NOUN
cana-5163	24	59	:	:	PUNCT
cana-5163	24	60	depressed	depressed	ADJ
cana-5163	24	61	or	or	CCONJ
cana-5163	24	62	non	non	ADJ
cana-5163	24	63	-	-	ADJ
cana-5163	24	64	depressed	depressed	ADJ
cana-5163	24	65	(	(	PUNCT
cana-5163	24	66	vasha	vasha	PROPN
cana-5163	24	67	et	et	PROPN
cana-5163	24	68	al	al	PROPN
cana-5163	24	69	.	.	PROPN
cana-5163	24	70	,	,	PUNCT
cana-5163	24	71	2023	2023	NUM
cana-5163	24	72	;	;	PUNCT
cana-5163	24	73	islam	islam	PROPN
cana-5163	24	74	et	et	PROPN
cana-5163	24	75	al	al	PROPN
cana-5163	24	76	.	.	PROPN
cana-5163	24	77	,	,	PUNCT
cana-5163	24	78	2018	2018	NUM
cana-5163	24	79	)	)	PUNCT
cana-5163	24	80	.	.	PUNCT
cana-5163	25	1	however	however	ADV
cana-5163	25	2	,	,	PUNCT
cana-5163	25	3	deep	deep	ADJ
cana-5163	25	4	learning	learning	NOUN
cana-5163	25	5	has	have	AUX
cana-5163	25	6	significantly	significantly	ADV
cana-5163	25	7	advanced	advance	VERB
cana-5163	25	8	the	the	DET
cana-5163	25	9	field	field	NOUN
cana-5163	25	10	of	of	ADP
cana-5163	25	11	natural	natural	ADJ
cana-5163	25	12	language	language	NOUN
cana-5163	25	13	processing	processing	NOUN
cana-5163	25	14	(	(	PUNCT
cana-5163	25	15	nlp	nlp	NOUN
cana-5163	25	16	)	)	PUNCT
cana-5163	25	17	by	by	ADP
cana-5163	25	18	offering	offer	VERB
cana-5163	25	19	enhanced	enhanced	ADJ
cana-5163	25	20	capabilities	capability	NOUN
cana-5163	25	21	,	,	PUNCT
cana-5163	25	22	particularly	particularly	ADV
cana-5163	25	23	in	in	ADP
cana-5163	25	24	handling	handle	VERB
cana-5163	25	25	large	large	ADJ
cana-5163	25	26	-	-	PUNCT
cana-5163	25	27	scale	scale	NOUN
cana-5163	25	28	data	datum	NOUN
cana-5163	25	29	that	that	PRON
cana-5163	25	30	includes	include	VERB
cana-5163	25	31	text	text	NOUN
cana-5163	25	32	,	,	PUNCT
cana-5163	25	33	images	image	NOUN
cana-5163	25	34	,	,	PUNCT
cana-5163	25	35	audio	audio	NOUN
cana-5163	25	36	,	,	PUNCT
cana-5163	25	37	and	and	CCONJ
cana-5163	25	38	video	video	NOUN
cana-5163	25	39	.	.	PUNCT
cana-5163	26	1	models	model	NOUN
cana-5163	26	2	like	like	ADP
cana-5163	26	3	recurrent	recurrent	ADJ
cana-5163	26	4	neural	neural	ADJ
cana-5163	26	5	networks	network	NOUN
cana-5163	26	6	(	(	PUNCT
cana-5163	26	7	rnns	rnns	PROPN
cana-5163	26	8	)	)	PUNCT
cana-5163	26	9	,	,	PUNCT
cana-5163	26	10	convolutional	convolutional	ADJ
cana-5163	26	11	neural	neural	ADJ
cana-5163	26	12	networks	network	NOUN
cana-5163	26	13	(	(	PUNCT
cana-5163	26	14	cnns	cnns	PROPN
cana-5163	26	15	)	)	PUNCT
cana-5163	26	16	,	,	PUNCT
cana-5163	26	17	and	and	CCONJ
cana-5163	26	18	long	long	ADJ
cana-5163	26	19	short	short	ADJ
cana-5163	26	20	-	-	PUNCT
cana-5163	26	21	term	term	NOUN
cana-5163	26	22	memory	memory	NOUN
cana-5163	26	23	networks	network	NOUN
cana-5163	26	24	(	(	PUNCT
cana-5163	26	25	lstms	lstms	ADJ
cana-5163	26	26	)	)	PUNCT
cana-5163	26	27	excel	excel	VERB
cana-5163	26	28	in	in	ADP
cana-5163	26	29	automatically	automatically	ADV
cana-5163	26	30	learning	learn	VERB
cana-5163	26	31	hierarchical	hierarchical	ADJ
cana-5163	26	32	data	datum	NOUN
cana-5163	26	33	representations	representation	NOUN
cana-5163	26	34	and	and	CCONJ
cana-5163	26	35	can	can	AUX
cana-5163	26	36	capture	capture	VERB
cana-5163	26	37	sequential	sequential	ADJ
cana-5163	26	38	and	and	CCONJ
cana-5163	26	39	contextual	contextual	ADJ
cana-5163	26	40	information	information	NOUN
cana-5163	26	41	from	from	ADP
cana-5163	26	42	text	text	NOUN
cana-5163	26	43	.	.	PUNCT
cana-5163	27	1	more	more	ADV
cana-5163	27	2	recently	recently	ADV
cana-5163	27	3	,	,	PUNCT
cana-5163	27	4	transformer	transformer	NOUN
cana-5163	27	5	-	-	PUNCT
cana-5163	27	6	based	base	VERB
cana-5163	27	7	models	model	NOUN
cana-5163	27	8	have	have	AUX
cana-5163	27	9	gained	gain	VERB
cana-5163	27	10	widespread	widespread	ADJ
cana-5163	27	11	attention	attention	NOUN
cana-5163	27	12	due	due	ADP
cana-5163	27	13	to	to	ADP
cana-5163	27	14	their	their	PRON
cana-5163	27	15	self	self	NOUN
cana-5163	27	16	-	-	PUNCT
cana-5163	27	17	attention	attention	NOUN
cana-5163	27	18	mechanisms	mechanism	NOUN
cana-5163	27	19	,	,	PUNCT
cana-5163	27	20	which	which	PRON
cana-5163	27	21	efficiently	efficiently	ADV
cana-5163	27	22	propagate	propagate	VERB
cana-5163	27	23	sequential	sequential	ADJ
cana-5163	27	24	information	information	NOUN
cana-5163	27	25	through	through	ADP
cana-5163	27	26	multiple	multiple	ADJ
cana-5163	27	27	layers	layer	NOUN
cana-5163	27	28	of	of	ADP
cana-5163	27	29	data	datum	NOUN
cana-5163	27	30	.	.	PUNCT
cana-5163	28	1	models	model	NOUN
cana-5163	28	2	such	such	ADJ
cana-5163	28	3	as	as	ADP
cana-5163	28	4	bert	bert	PROPN
cana-5163	28	5	,	,	PUNCT
cana-5163	28	6	xlnet	xlnet	PROPN
cana-5163	28	7	,	,	PUNCT
cana-5163	28	8	and	and	CCONJ
cana-5163	28	9	roberta	roberta	PROPN
cana-5163	28	10	are	be	AUX
cana-5163	28	11	increasingly	increasingly	ADV
cana-5163	28	12	utilized	utilize	VERB
cana-5163	28	13	for	for	ADP
cana-5163	28	14	the	the	DET
cana-5163	28	15	automated	automate	VERB
cana-5163	28	16	classification	classification	NOUN
cana-5163	28	17	of	of	ADP
cana-5163	28	18	depressive	depressive	ADJ
cana-5163	28	19	versus	versus	ADP
cana-5163	28	20	non	non	ADJ
cana-5163	28	21	-	-	ADJ
cana-5163	28	22	depressive	depressive	ADJ
cana-5163	28	23	content	content	NOUN
cana-5163	28	24	in	in	ADP
cana-5163	28	25	social	social	ADJ
cana-5163	28	26	media	medium	NOUN
cana-5163	28	27	posts	post	NOUN
cana-5163	28	28	(	(	PUNCT
cana-5163	28	29	shetty	shetty	PROPN
cana-5163	28	30	,	,	PUNCT
cana-5163	28	31	singh	singh	PROPN
cana-5163	28	32	,	,	PUNCT
cana-5163	28	33	hegde	hegde	NOUN
cana-5163	28	34	,	,	PUNCT
cana-5163	28	35	cenitta	cenitta	NOUN
cana-5163	28	36	,	,	PUNCT
cana-5163	28	37	&	&	CCONJ
cana-5163	28	38	dhruthi	dhruthi	PROPN
cana-5163	28	39	,	,	PUNCT
cana-5163	28	40	2025	2025	NUM
cana-5163	28	41	)	)	PUNCT
cana-5163	28	42	.	.	PUNCT
cana-5163	29	1	deep	deep	ADJ
cana-5163	29	2	learning	learning	NOUN
cana-5163	29	3	and	and	CCONJ
cana-5163	29	4	natural	natural	ADJ
cana-5163	29	5	language	language	NOUN
cana-5163	29	6	processing	processing	NOUN
cana-5163	29	7	techniques	technique	NOUN
cana-5163	29	8	for	for	ADP
cana-5163	29	9	depression	depression	NOUN
cana-5163	29	10	detection	detection	NOUN
cana-5163	29	11	in	in	ADP
cana-5163	29	12	social	social	ADJ
cana-5163	29	13	media	medium	NOUN
cana-5163	29	14	texts	text	NOUN
cana-5163	29	15	:	:	PUNCT
cana-5163	29	16	a	a	DET
cana-5163	29	17	comprehensive	comprehensive	ADJ
cana-5163	29	18	review	review	NOUN
cana-5163	29	19	1	1	NUM
cana-5163	29	20	.	.	PUNCT
cana-5163	29	21	introduction	introduction	NOUN
cana-5163	29	22	2	2	NUM
cana-5163	29	23	.	.	PUNCT
cana-5163	29	24	search	search	NOUN
cana-5163	29	25	methodology	methodology	NOUN
cana-5163	29	26	3	3	NUM
cana-5163	29	27	.	.	PUNCT
cana-5163	29	28	evolution	evolution	NOUN
cana-5163	29	29	4	4	NUM
cana-5163	29	30	.	.	X
cana-5163	29	31	review	review	NOUN
cana-5163	29	32	of	of	ADP
cana-5163	29	33	deep	deep	ADJ
cana-5163	29	34	learning	learning	NOUN
cana-5163	29	35	and	and	CCONJ
cana-5163	29	36	nlp	nlp	ADJ
cana-5163	29	37	techniques	technique	NOUN
cana-5163	29	38	5	5	NUM
cana-5163	29	39	.	.	X
cana-5163	29	40	concusion	concusion	NOUN
cana-5163	29	41	communications	communication	NOUN
cana-5163	29	42	on	on	ADP
cana-5163	29	43	applied	apply	VERB
cana-5163	29	44	nonlinear	nonlinear	ADJ
cana-5163	29	45	analysis	analysis	NOUN
cana-5163	29	46	issn	issn	NOUN
cana-5163	29	47	:	:	PUNCT
cana-5163	29	48	1074	1074	NUM
cana-5163	29	49	-	-	PUNCT
cana-5163	29	50	133x	133x	NUM
cana-5163	29	51	vol	vol	NOUN
cana-5163	29	52	32	32	NUM
cana-5163	29	53	no	no	NOUN
cana-5163	29	54	.	.	PUNCT
cana-5163	30	1	icmasd	icmasd	NOUN
cana-5163	30	2	(	(	PUNCT
cana-5163	30	3	2025	2025	NUM
cana-5163	30	4	)	)	PUNCT
cana-5163	30	5	1390	1390	NUM
cana-5163	30	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	30	7	in	in	ADP
cana-5163	30	8	this	this	DET
cana-5163	30	9	review	review	NOUN
cana-5163	30	10	,	,	PUNCT
cana-5163	30	11	we	we	PRON
cana-5163	30	12	aim	aim	VERB
cana-5163	30	13	to	to	PART
cana-5163	30	14	provide	provide	VERB
cana-5163	30	15	a	a	DET
cana-5163	30	16	comprehensive	comprehensive	ADJ
cana-5163	30	17	overview	overview	NOUN
cana-5163	30	18	of	of	ADP
cana-5163	30	19	the	the	DET
cana-5163	30	20	methodologies	methodology	NOUN
cana-5163	30	21	employed	employ	VERB
cana-5163	30	22	by	by	ADP
cana-5163	30	23	researchers	researcher	NOUN
cana-5163	30	24	in	in	ADP
cana-5163	30	25	recognizing	recognize	VERB
cana-5163	30	26	efforts	effort	NOUN
cana-5163	30	27	within	within	ADP
cana-5163	30	28	the	the	DET
cana-5163	30	29	fields	field	NOUN
cana-5163	30	30	of	of	ADP
cana-5163	30	31	natural	natural	ADJ
cana-5163	30	32	language	language	NOUN
cana-5163	30	33	processing	processing	NOUN
cana-5163	30	34	(	(	PUNCT
cana-5163	30	35	nlp	nlp	NOUN
cana-5163	30	36	)	)	PUNCT
cana-5163	30	37	,	,	PUNCT
cana-5163	30	38	machine	machine	NOUN
cana-5163	30	39	learning	learning	NOUN
cana-5163	30	40	(	(	PUNCT
cana-5163	30	41	ml	ml	NOUN
cana-5163	30	42	)	)	PUNCT
cana-5163	30	43	,	,	PUNCT
cana-5163	30	44	and	and	CCONJ
cana-5163	30	45	deep	deep	ADJ
cana-5163	30	46	learning	learning	NOUN
cana-5163	30	47	for	for	ADP
cana-5163	30	48	the	the	DET
cana-5163	30	49	detection	detection	NOUN
cana-5163	30	50	of	of	ADP
cana-5163	30	51	depression	depression	NOUN
cana-5163	30	52	and	and	CCONJ
cana-5163	30	53	other	other	ADJ
cana-5163	30	54	mental	mental	ADJ
cana-5163	30	55	health	health	NOUN
cana-5163	30	56	disorders	disorder	NOUN
cana-5163	30	57	on	on	ADP
cana-5163	30	58	social	social	ADJ
cana-5163	30	59	media	medium	NOUN
cana-5163	30	60	.	.	PUNCT
cana-5163	31	1	we	we	PRON
cana-5163	31	2	also	also	ADV
cana-5163	31	3	learned	learn	VERB
cana-5163	31	4	about	about	ADP
cana-5163	31	5	several	several	ADJ
cana-5163	31	6	datasets	dataset	NOUN
cana-5163	31	7	utilized	utilize	VERB
cana-5163	31	8	in	in	ADP
cana-5163	31	9	various	various	ADJ
cana-5163	31	10	research	research	NOUN
cana-5163	31	11	implementations	implementation	NOUN
cana-5163	31	12	.	.	PUNCT
cana-5163	32	1	this	this	DET
cana-5163	32	2	paper	paper	NOUN
cana-5163	32	3	strives	strive	VERB
cana-5163	32	4	to	to	PART
cana-5163	32	5	achieve	achieve	VERB
cana-5163	32	6	the	the	DET
cana-5163	32	7	following	following	ADJ
cana-5163	32	8	objectives	objective	NOUN
cana-5163	32	9	:	:	PUNCT
cana-5163	32	10	•	•	ADP
cana-5163	32	11	to	to	PART
cana-5163	32	12	identify	identify	VERB
cana-5163	32	13	the	the	DET
cana-5163	32	14	historical	historical	ADJ
cana-5163	32	15	evolution	evolution	NOUN
cana-5163	32	16	of	of	ADP
cana-5163	32	17	the	the	DET
cana-5163	32	18	dl	dl	PROPN
cana-5163	32	19	and	and	CCONJ
cana-5163	32	20	nlp	nlp	ADJ
cana-5163	32	21	techniques	technique	NOUN
cana-5163	32	22	for	for	ADP
cana-5163	32	23	depression	depression	NOUN
cana-5163	32	24	detection	detection	NOUN
cana-5163	32	25	in	in	ADP
cana-5163	32	26	social	social	ADJ
cana-5163	32	27	media	medium	NOUN
cana-5163	32	28	texts	text	NOUN
cana-5163	32	29	•	•	VERB
cana-5163	32	30	provide	provide	VERB
cana-5163	32	31	a	a	DET
cana-5163	32	32	comprehensive	comprehensive	ADJ
cana-5163	32	33	review	review	NOUN
cana-5163	32	34	of	of	ADP
cana-5163	32	35	deep	deep	ADJ
cana-5163	32	36	learning	learning	NOUN
cana-5163	32	37	and	and	CCONJ
cana-5163	32	38	nlp	nlp	NOUN
cana-5163	32	39	techniques	technique	NOUN
cana-5163	32	40	.	.	PUNCT
cana-5163	33	1	also	also	ADV
cana-5163	33	2	included	include	VERB
cana-5163	33	3	studies	study	NOUN
cana-5163	33	4	employed	employ	VERB
cana-5163	33	5	transformer	transformer	NOUN
cana-5163	33	6	models	model	NOUN
cana-5163	33	7	for	for	ADP
cana-5163	33	8	detect	detect	NOUN
cana-5163	33	9	depression	depression	NOUN
cana-5163	33	10	,	,	PUNCT
cana-5163	33	11	dataset	dataset	NOUN
cana-5163	33	12	used	use	VERB
cana-5163	33	13	for	for	ADP
cana-5163	33	14	testing	testing	NOUN
cana-5163	33	15	in	in	ADP
cana-5163	33	16	research	research	NOUN
cana-5163	33	17	articles	article	NOUN
cana-5163	33	18	.	.	PUNCT
cana-5163	34	1	•	•	NUM
cana-5163	34	2	identifying	identify	VERB
cana-5163	34	3	the	the	DET
cana-5163	34	4	research	research	NOUN
cana-5163	34	5	gaps	gap	NOUN
cana-5163	34	6	and	and	CCONJ
cana-5163	34	7	future	future	ADJ
cana-5163	34	8	directions	direction	NOUN
cana-5163	34	9	from	from	ADP
cana-5163	34	10	existing	exist	VERB
cana-5163	34	11	studies	study	NOUN
cana-5163	34	12	.	.	PUNCT
cana-5163	35	1	the	the	DET
cana-5163	35	2	paper	paper	NOUN
cana-5163	35	3	is	be	AUX
cana-5163	35	4	structured	structure	VERB
cana-5163	35	5	into	into	ADP
cana-5163	35	6	the	the	DET
cana-5163	35	7	following	follow	VERB
cana-5163	35	8	sections	section	NOUN
cana-5163	35	9	:	:	PUNCT
cana-5163	35	10	section	section	NOUN
cana-5163	35	11	2	2	NUM
cana-5163	35	12	outlines	outline	VERB
cana-5163	35	13	the	the	DET
cana-5163	35	14	search	search	NOUN
cana-5163	35	15	methodology	methodology	NOUN
cana-5163	35	16	and	and	CCONJ
cana-5163	35	17	criteria	criterion	NOUN
cana-5163	35	18	for	for	ADP
cana-5163	35	19	selecting	select	VERB
cana-5163	35	20	study	study	NOUN
cana-5163	35	21	material	material	NOUN
cana-5163	35	22	for	for	ADP
cana-5163	35	23	a	a	DET
cana-5163	35	24	thorough	thorough	ADJ
cana-5163	35	25	review	review	NOUN
cana-5163	35	26	.	.	PUNCT
cana-5163	36	1	section	section	NOUN
cana-5163	36	2	3	3	NUM
cana-5163	36	3	examines	examine	VERB
cana-5163	36	4	the	the	DET
cana-5163	36	5	evolution	evolution	NOUN
cana-5163	36	6	of	of	ADP
cana-5163	36	7	techniques	technique	NOUN
cana-5163	36	8	such	such	ADJ
cana-5163	36	9	as	as	ADP
cana-5163	36	10	machine	machine	NOUN
cana-5163	36	11	learning	learning	NOUN
cana-5163	36	12	(	(	PUNCT
cana-5163	36	13	ml	ml	NOUN
cana-5163	36	14	)	)	PUNCT
cana-5163	36	15	,	,	PUNCT
cana-5163	36	16	deep	deep	ADJ
cana-5163	36	17	learning	learning	NOUN
cana-5163	36	18	(	(	PUNCT
cana-5163	36	19	dl	dl	NOUN
cana-5163	36	20	)	)	PUNCT
cana-5163	36	21	,	,	PUNCT
cana-5163	36	22	natural	natural	ADJ
cana-5163	36	23	language	language	NOUN
cana-5163	36	24	processing	processing	NOUN
cana-5163	36	25	(	(	PUNCT
cana-5163	36	26	nlp	nlp	NOUN
cana-5163	36	27	)	)	PUNCT
cana-5163	36	28	,	,	PUNCT
cana-5163	36	29	transformation	transformation	NOUN
cana-5163	36	30	models	model	NOUN
cana-5163	36	31	,	,	PUNCT
cana-5163	36	32	and	and	CCONJ
cana-5163	36	33	other	other	ADJ
cana-5163	36	34	ensemble	ensemble	ADJ
cana-5163	36	35	models	model	NOUN
cana-5163	36	36	,	,	PUNCT
cana-5163	36	37	as	as	ADV
cana-5163	36	38	well	well	ADV
cana-5163	36	39	as	as	ADP
cana-5163	36	40	the	the	DET
cana-5163	36	41	proposed	propose	VERB
cana-5163	36	42	methods	method	NOUN
cana-5163	36	43	for	for	ADP
cana-5163	36	44	identifying	identify	VERB
cana-5163	36	45	depressive	depressive	ADJ
cana-5163	36	46	posts	post	NOUN
cana-5163	36	47	.	.	PUNCT
cana-5163	37	1	section	section	NOUN
cana-5163	37	2	4	4	NUM
cana-5163	37	3	provides	provide	VERB
cana-5163	37	4	an	an	DET
cana-5163	37	5	in	in	ADP
cana-5163	37	6	-	-	PUNCT
cana-5163	37	7	depth	depth	NOUN
cana-5163	37	8	review	review	NOUN
cana-5163	37	9	of	of	ADP
cana-5163	37	10	the	the	DET
cana-5163	37	11	literature	literature	NOUN
cana-5163	37	12	,	,	PUNCT
cana-5163	37	13	narrating	narrate	VERB
cana-5163	37	14	the	the	DET
cana-5163	37	15	use	use	NOUN
cana-5163	37	16	of	of	ADP
cana-5163	37	17	natural	natural	ADJ
cana-5163	37	18	language	language	NOUN
cana-5163	37	19	processing	processing	NOUN
cana-5163	37	20	and	and	CCONJ
cana-5163	37	21	deep	deep	ADJ
cana-5163	37	22	learning	learning	NOUN
cana-5163	37	23	techniques	technique	NOUN
cana-5163	37	24	for	for	ADP
cana-5163	37	25	detecting	detect	VERB
cana-5163	37	26	depression	depression	NOUN
cana-5163	37	27	in	in	ADP
cana-5163	37	28	social	social	ADJ
cana-5163	37	29	media	medium	NOUN
cana-5163	37	30	data	datum	NOUN
cana-5163	37	31	.	.	PUNCT
cana-5163	38	1	finally	finally	ADV
cana-5163	38	2	,	,	PUNCT
cana-5163	38	3	we	we	PRON
cana-5163	38	4	conclude	conclude	VERB
cana-5163	38	5	with	with	ADP
cana-5163	38	6	a	a	DET
cana-5163	38	7	summary	summary	NOUN
cana-5163	38	8	of	of	ADP
cana-5163	38	9	the	the	DET
cana-5163	38	10	key	key	ADJ
cana-5163	38	11	findings	finding	NOUN
cana-5163	38	12	.	.	PUNCT
cana-5163	39	1	figure	figure	VERB
cana-5163	39	2	1	1	NUM
cana-5163	39	3	presents	present	VERB
cana-5163	39	4	an	an	DET
cana-5163	39	5	overview	overview	NOUN
cana-5163	39	6	of	of	ADP
cana-5163	39	7	the	the	DET
cana-5163	39	8	paper	paper	NOUN
cana-5163	39	9	's	's	PART
cana-5163	39	10	structure	structure	NOUN
cana-5163	39	11	.	.	PUNCT
cana-5163	40	1	2	2	X
cana-5163	40	2	.	.	X
cana-5163	40	3	search	search	NOUN
cana-5163	40	4	methodology	methodology	NOUN
cana-5163	40	5	in	in	ADP
cana-5163	40	6	this	this	DET
cana-5163	40	7	section	section	NOUN
cana-5163	40	8	,	,	PUNCT
cana-5163	40	9	we	we	PRON
cana-5163	40	10	outline	outline	VERB
cana-5163	40	11	the	the	DET
cana-5163	40	12	search	search	NOUN
cana-5163	40	13	methodology	methodology	NOUN
cana-5163	40	14	employed	employ	VERB
cana-5163	40	15	to	to	PART
cana-5163	40	16	conduct	conduct	VERB
cana-5163	40	17	the	the	DET
cana-5163	40	18	systematic	systematic	ADJ
cana-5163	40	19	literature	literature	NOUN
cana-5163	40	20	review	review	PROPN
cana-5163	40	21	(	(	PUNCT
cana-5163	40	22	slr	slr	NOUN
cana-5163	40	23	)	)	PUNCT
cana-5163	40	24	.	.	PUNCT
cana-5163	41	1	we	we	PRON
cana-5163	41	2	focused	focus	VERB
cana-5163	41	3	on	on	ADP
cana-5163	41	4	papers	paper	NOUN
cana-5163	41	5	published	publish	VERB
cana-5163	41	6	from	from	ADP
cana-5163	41	7	2018	2018	NUM
cana-5163	41	8	to	to	ADP
cana-5163	41	9	january	january	PROPN
cana-5163	41	10	2025	2025	NUM
cana-5163	41	11	,	,	PUNCT
cana-5163	41	12	ensuring	ensure	VERB
cana-5163	41	13	a	a	DET
cana-5163	41	14	comprehensive	comprehensive	ADJ
cana-5163	41	15	search	search	NOUN
cana-5163	41	16	process	process	NOUN
cana-5163	41	17	aligned	align	VERB
cana-5163	41	18	with	with	ADP
cana-5163	41	19	the	the	DET
cana-5163	41	20	core	core	ADJ
cana-5163	41	21	theme	theme	NOUN
cana-5163	41	22	of	of	ADP
cana-5163	41	23	the	the	DET
cana-5163	41	24	review	review	NOUN
cana-5163	41	25	.	.	PUNCT
cana-5163	42	1	to	to	PART
cana-5163	42	2	identify	identify	VERB
cana-5163	42	3	relevant	relevant	ADJ
cana-5163	42	4	studies	study	NOUN
cana-5163	42	5	,	,	PUNCT
cana-5163	42	6	we	we	PRON
cana-5163	42	7	leveraged	leverage	VERB
cana-5163	42	8	prominent	prominent	ADJ
cana-5163	42	9	scholarly	scholarly	ADJ
cana-5163	42	10	databases	database	NOUN
cana-5163	42	11	,	,	PUNCT
cana-5163	42	12	including	include	VERB
cana-5163	42	13	google	google	PROPN
cana-5163	42	14	scholar	scholar	NOUN
cana-5163	42	15	,	,	PUNCT
cana-5163	42	16	web	web	NOUN
cana-5163	42	17	of	of	ADP
cana-5163	42	18	science	science	NOUN
cana-5163	42	19	,	,	PUNCT
cana-5163	42	20	researchgate	researchgate	NOUN
cana-5163	42	21	,	,	PUNCT
cana-5163	42	22	ieee	ieee	PROPN
cana-5163	42	23	xplore	xplore	PROPN
cana-5163	42	24	,	,	PUNCT
cana-5163	42	25	sciencedirect	sciencedirect	PROPN
cana-5163	42	26	,	,	PUNCT
cana-5163	42	27	and	and	CCONJ
cana-5163	42	28	the	the	DET
cana-5163	42	29	acm	acm	PROPN
cana-5163	42	30	digital	digital	PROPN
cana-5163	42	31	library	library	NOUN
cana-5163	42	32	.	.	PUNCT
cana-5163	43	1	boolean	boolean	ADJ
cana-5163	43	2	operators	operator	NOUN
cana-5163	43	3	,	,	PUNCT
cana-5163	43	4	specifically	specifically	ADV
cana-5163	43	5	“	"	PUNCT
cana-5163	43	6	and	and	CCONJ
cana-5163	43	7	”	"	PUNCT
cana-5163	43	8	and	and	CCONJ
cana-5163	43	9	“	"	PUNCT
cana-5163	43	10	or	or	CCONJ
cana-5163	43	11	,	,	PUNCT
cana-5163	43	12	”	"	PUNCT
cana-5163	43	13	were	be	AUX
cana-5163	43	14	used	use	VERB
cana-5163	43	15	to	to	PART
cana-5163	43	16	refine	refine	VERB
cana-5163	43	17	the	the	DET
cana-5163	43	18	search	search	NOUN
cana-5163	43	19	.	.	PUNCT
cana-5163	44	1	we	we	PRON
cana-5163	44	2	focused	focus	VERB
cana-5163	44	3	on	on	ADP
cana-5163	44	4	titles	title	NOUN
cana-5163	44	5	and	and	CCONJ
cana-5163	44	6	abstracts	abstract	NOUN
cana-5163	44	7	,	,	PUNCT
cana-5163	44	8	utilizing	utilize	VERB
cana-5163	44	9	search	search	NOUN
cana-5163	44	10	phrases	phrase	NOUN
cana-5163	44	11	and	and	CCONJ
cana-5163	44	12	keywords	keyword	NOUN
cana-5163	44	13	such	such	ADJ
cana-5163	44	14	as	as	ADP
cana-5163	44	15	“	"	PUNCT
cana-5163	44	16	depression	depression	NOUN
cana-5163	44	17	”	"	PUNCT
cana-5163	44	18	or	or	CCONJ
cana-5163	44	19	“	"	PUNCT
cana-5163	44	20	mental	mental	ADJ
cana-5163	44	21	health	health	NOUN
cana-5163	44	22	disorders	disorder	NOUN
cana-5163	44	23	”	"	PUNCT
cana-5163	44	24	or	or	CCONJ
cana-5163	44	25	“	"	PUNCT
cana-5163	44	26	mental	mental	ADJ
cana-5163	44	27	illness	illness	NOUN
cana-5163	44	28	”	"	PUNCT
cana-5163	44	29	and	and	CCONJ
cana-5163	44	30	“	"	PUNCT
cana-5163	44	31	social	social	ADJ
cana-5163	44	32	media	medium	NOUN
cana-5163	44	33	”	"	PUNCT
cana-5163	44	34	or	or	CCONJ
cana-5163	44	35	“	"	PUNCT
cana-5163	44	36	social	social	ADJ
cana-5163	44	37	networking	network	VERB
cana-5163	44	38	sites	site	NOUN
cana-5163	44	39	”	"	PUNCT
cana-5163	44	40	and	and	CCONJ
cana-5163	44	41	“	"	PUNCT
cana-5163	44	42	natural	natural	ADJ
cana-5163	44	43	language	language	NOUN
cana-5163	44	44	processing	processing	NOUN
cana-5163	44	45	”	"	PUNCT
cana-5163	44	46	or	or	CCONJ
cana-5163	44	47	“	"	PUNCT
cana-5163	44	48	nlp	nlp	NOUN
cana-5163	44	49	”	"	PUNCT
cana-5163	44	50	and	and	CCONJ
cana-5163	44	51	“	"	PUNCT
cana-5163	44	52	deep	deep	ADJ
cana-5163	44	53	learning	learning	NOUN
cana-5163	44	54	”	"	PUNCT
cana-5163	44	55	or	or	CCONJ
cana-5163	44	56	“	"	PUNCT
cana-5163	44	57	dl	dl	INTJ
cana-5163	44	58	.	.	PUNCT
cana-5163	44	59	”	"	PUNCT
cana-5163	45	1	prisma	prisma	PROPN
cana-5163	45	2	methodology	methodology	NOUN
cana-5163	45	3	used	use	VERB
cana-5163	45	4	for	for	ADP
cana-5163	45	5	inclusion	inclusion	NOUN
cana-5163	45	6	and	and	CCONJ
cana-5163	45	7	exclusion	exclusion	NOUN
cana-5163	45	8	process	process	NOUN
cana-5163	45	9	of	of	ADP
cana-5163	45	10	selection	selection	NOUN
cana-5163	45	11	criteria	criterion	NOUN
cana-5163	45	12	is	be	AUX
cana-5163	45	13	shown	show	VERB
cana-5163	45	14	in	in	ADP
cana-5163	45	15	figure	figure	NOUN
cana-5163	45	16	2	2	NUM
cana-5163	45	17	.	.	NOUN
cana-5163	45	18	2.1	2.1	NUM
cana-5163	45	19	selection	selection	NOUN
cana-5163	45	20	criteria	criterion	NOUN
cana-5163	45	21	articles	article	NOUN
cana-5163	45	22	published	publish	VERB
cana-5163	45	23	in	in	ADP
cana-5163	45	24	reputed	reputed	ADJ
cana-5163	45	25	journals	journal	NOUN
cana-5163	45	26	and	and	CCONJ
cana-5163	45	27	conferences	conference	NOUN
cana-5163	45	28	are	be	AUX
cana-5163	45	29	used	use	VERB
cana-5163	45	30	for	for	ADP
cana-5163	45	31	this	this	DET
cana-5163	45	32	study	study	NOUN
cana-5163	45	33	.	.	PUNCT
cana-5163	46	1	we	we	PRON
cana-5163	46	2	identified	identify	VERB
cana-5163	46	3	102	102	NUM
cana-5163	46	4	records	record	NOUN
cana-5163	46	5	based	base	VERB
cana-5163	46	6	on	on	ADP
cana-5163	46	7	the	the	DET
cana-5163	46	8	search	search	NOUN
cana-5163	46	9	strategy	strategy	NOUN
cana-5163	46	10	.	.	PUNCT
cana-5163	47	1	after	after	ADP
cana-5163	47	2	removing	remove	VERB
cana-5163	47	3	10	10	NUM
cana-5163	47	4	duplicate	duplicate	ADJ
cana-5163	47	5	records	record	NOUN
cana-5163	47	6	,	,	PUNCT
cana-5163	47	7	remained	remain	VERB
cana-5163	47	8	92	92	NUM
cana-5163	47	9	records	record	NOUN
cana-5163	47	10	out	out	ADP
cana-5163	47	11	of	of	ADP
cana-5163	47	12	which	which	PRON
cana-5163	47	13	78	78	NUM
cana-5163	47	14	full	full	ADJ
cana-5163	47	15	text	text	NOUN
cana-5163	47	16	articles	article	NOUN
cana-5163	47	17	are	be	AUX
cana-5163	47	18	screened	screen	VERB
cana-5163	47	19	for	for	ADP
cana-5163	47	20	eligibility	eligibility	NOUN
cana-5163	47	21	.	.	PUNCT
cana-5163	48	1	28	28	NUM
cana-5163	48	2	primary	primary	ADJ
cana-5163	48	3	studies	study	NOUN
cana-5163	48	4	and	and	CCONJ
cana-5163	48	5	4	4	NUM
cana-5163	48	6	survey	survey	NOUN
cana-5163	48	7	studies	study	NOUN
cana-5163	48	8	are	be	AUX
cana-5163	48	9	included	include	VERB
cana-5163	48	10	in	in	ADP
cana-5163	48	11	synthesis	synthesis	NOUN
cana-5163	48	12	of	of	ADP
cana-5163	48	13	the	the	DET
cana-5163	48	14	review	review	NOUN
cana-5163	48	15	.	.	PUNCT
cana-5163	49	1	2.1.1	2.1.1	NUM
cana-5163	49	2	inclusion	inclusion	NOUN
cana-5163	49	3	criteria	criterion	NOUN
cana-5163	49	4	:	:	PUNCT
cana-5163	49	5	a.	a.	NOUN
cana-5163	49	6	articles	article	NOUN
cana-5163	49	7	published	publish	VERB
cana-5163	49	8	from	from	ADP
cana-5163	49	9	2018	2018	NUM
cana-5163	49	10	to	to	ADP
cana-5163	49	11	january	january	PROPN
cana-5163	49	12	2025	2025	NUM
cana-5163	49	13	b.	b.	PROPN
cana-5163	49	14	studies	study	NOUN
cana-5163	49	15	published	publish	VERB
cana-5163	49	16	in	in	ADP
cana-5163	49	17	reputed	reputed	ADJ
cana-5163	49	18	journals	journal	NOUN
cana-5163	49	19	c.	c.	NOUN
cana-5163	49	20	articles	article	NOUN
cana-5163	49	21	written	write	VERB
cana-5163	49	22	in	in	ADP
cana-5163	49	23	english	english	ADJ
cana-5163	49	24	language	language	NOUN
cana-5163	49	25	only	only	ADV
cana-5163	49	26	d.	d.	PROPN
cana-5163	49	27	studies	study	NOUN
cana-5163	49	28	focussing	focusse	VERB
cana-5163	49	29	on	on	ADP
cana-5163	49	30	the	the	DET
cana-5163	49	31	centric	centric	ADJ
cana-5163	49	32	theme	theme	NOUN
cana-5163	49	33	of	of	ADP
cana-5163	49	34	review	review	NOUN
cana-5163	49	35	communications	communication	NOUN
cana-5163	49	36	on	on	ADP
cana-5163	49	37	applied	apply	VERB
cana-5163	49	38	nonlinear	nonlinear	ADJ
cana-5163	49	39	analysis	analysis	NOUN
cana-5163	49	40	issn	issn	NOUN
cana-5163	49	41	:	:	PUNCT
cana-5163	49	42	1074	1074	NUM
cana-5163	49	43	-	-	PUNCT
cana-5163	49	44	133x	133x	NUM
cana-5163	49	45	vol	vol	NOUN
cana-5163	49	46	32	32	NUM
cana-5163	49	47	no	no	NOUN
cana-5163	49	48	.	.	PUNCT
cana-5163	50	1	icmasd	icmasd	NOUN
cana-5163	50	2	(	(	PUNCT
cana-5163	50	3	2025	2025	NUM
cana-5163	50	4	)	)	PUNCT
cana-5163	50	5	1391	1391	NUM
cana-5163	50	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	50	7	e.	e.	PROPN
cana-5163	50	8	research	research	PROPN
cana-5163	50	9	employed	employ	VERB
cana-5163	50	10	nlp	nlp	NOUN
cana-5163	50	11	and	and	CCONJ
cana-5163	50	12	dl	dl	PROPN
cana-5163	50	13	techniques	technique	NOUN
cana-5163	50	14	for	for	ADP
cana-5163	50	15	depression	depression	NOUN
cana-5163	50	16	detection	detection	NOUN
cana-5163	50	17	f.	f.	PROPN
cana-5163	50	18	evaluations	evaluation	NOUN
cana-5163	50	19	of	of	ADP
cana-5163	50	20	studies	study	NOUN
cana-5163	50	21	utilizing	utilize	VERB
cana-5163	50	22	only	only	ADV
cana-5163	50	23	social	social	ADJ
cana-5163	50	24	media	medium	NOUN
cana-5163	50	25	platforms	platform	NOUN
cana-5163	50	26	for	for	ADP
cana-5163	50	27	depression	depression	NOUN
cana-5163	50	28	detection	detection	NOUN
cana-5163	50	29	.	.	PUNCT
cana-5163	51	1	table	table	NOUN
cana-5163	51	2	1	1	NUM
cana-5163	51	3	:	:	PUNCT
cana-5163	51	4	list	list	NOUN
cana-5163	51	5	of	of	ADP
cana-5163	51	6	studies	study	NOUN
cana-5163	51	7	screened	screen	VERB
cana-5163	51	8	and	and	CCONJ
cana-5163	51	9	included	include	VERB
cana-5163	51	10	in	in	ADP
cana-5163	51	11	synthesis	synthesis	NOUN
cana-5163	51	12	.	.	PUNCT
cana-5163	52	1	2.1.2	2.1.2	NUM
cana-5163	52	2	exclusion	exclusion	NOUN
cana-5163	52	3	criteria	criterion	NOUN
cana-5163	52	4	:	:	PUNCT
cana-5163	52	5	a.	a.	NOUN
cana-5163	52	6	studies	study	NOUN
cana-5163	52	7	irrelevant	irrelevant	ADJ
cana-5163	52	8	to	to	ADP
cana-5163	52	9	the	the	DET
cana-5163	52	10	centric	centric	ADJ
cana-5163	52	11	theme	theme	NOUN
cana-5163	52	12	b.	b.	PROPN
cana-5163	52	13	papers	paper	NOUN
cana-5163	52	14	not	not	PART
cana-5163	52	15	written	write	VERB
cana-5163	52	16	in	in	ADP
cana-5163	52	17	english	english	PROPN
cana-5163	52	18	.	.	PUNCT
cana-5163	53	1	c.	c.	PROPN
cana-5163	53	2	articles	article	NOUN
cana-5163	53	3	not	not	PART
cana-5163	53	4	use	use	VERB
cana-5163	53	5	social	social	ADJ
cana-5163	53	6	media	medium	NOUN
cana-5163	53	7	for	for	ADP
cana-5163	53	8	depression	depression	NOUN
cana-5163	53	9	detection	detection	NOUN
cana-5163	53	10	d.	d.	PROPN
cana-5163	53	11	articles	article	NOUN
cana-5163	53	12	based	base	VERB
cana-5163	53	13	on	on	ADP
cana-5163	53	14	topics	topic	NOUN
cana-5163	53	15	other	other	ADJ
cana-5163	53	16	than	than	ADP
cana-5163	53	17	depression	depression	NOUN
cana-5163	53	18	such	such	ADJ
cana-5163	53	19	as	as	ADP
cana-5163	53	20	hate	hate	NOUN
cana-5163	53	21	speech	speech	NOUN
cana-5163	53	22	and	and	CCONJ
cana-5163	53	23	cyberbullying	cyberbullye	VERB
cana-5163	53	24	e.	e.	PROPN
cana-5163	53	25	low	low	PROPN
cana-5163	53	26	quality	quality	PROPN
cana-5163	53	27	research	research	NOUN
cana-5163	53	28	papers	paper	NOUN
cana-5163	53	29	we	we	PRON
cana-5163	53	30	defined	define	VERB
cana-5163	53	31	the	the	DET
cana-5163	53	32	scope	scope	NOUN
cana-5163	53	33	of	of	ADP
cana-5163	53	34	our	our	PRON
cana-5163	53	35	review	review	NOUN
cana-5163	53	36	based	base	VERB
cana-5163	53	37	on	on	ADP
cana-5163	53	38	the	the	DET
cana-5163	53	39	details	detail	NOUN
cana-5163	53	40	of	of	ADP
cana-5163	53	41	the	the	DET
cana-5163	53	42	selected	select	VERB
cana-5163	53	43	articles	article	NOUN
cana-5163	53	44	,	,	PUNCT
cana-5163	53	45	including	include	VERB
cana-5163	53	46	the	the	DET
cana-5163	53	47	publication	publication	NOUN
cana-5163	53	48	years	year	NOUN
cana-5163	53	49	,	,	PUNCT
cana-5163	53	50	authors	author	NOUN
cana-5163	53	51	,	,	PUNCT
cana-5163	53	52	publishers	publisher	NOUN
cana-5163	53	53	,	,	PUNCT
cana-5163	53	54	methodologies	methodology	NOUN
cana-5163	53	55	employed	employ	VERB
cana-5163	53	56	and	and	CCONJ
cana-5163	53	57	key	key	ADJ
cana-5163	53	58	findings	finding	NOUN
cana-5163	53	59	.	.	PUNCT
cana-5163	54	1	the	the	DET
cana-5163	54	2	selection	selection	NOUN
cana-5163	54	3	of	of	ADP
cana-5163	54	4	papers	paper	NOUN
cana-5163	54	5	is	be	AUX
cana-5163	54	6	presented	present	VERB
cana-5163	54	7	in	in	ADP
cana-5163	54	8	a	a	DET
cana-5163	54	9	year	year	NOUN
cana-5163	54	10	-	-	PUNCT
cana-5163	54	11	wise	wise	ADJ
cana-5163	54	12	format	format	NOUN
cana-5163	54	13	in	in	ADP
cana-5163	54	14	table	table	NOUN
cana-5163	54	15	1	1	NUM
cana-5163	54	16	3	3	NUM
cana-5163	54	17	.	.	PUNCT
cana-5163	55	1	evolution	evolution	NOUN
cana-5163	55	2	in	in	ADP
cana-5163	55	3	this	this	DET
cana-5163	55	4	section	section	NOUN
cana-5163	55	5	we	we	PRON
cana-5163	55	6	will	will	AUX
cana-5163	55	7	try	try	VERB
cana-5163	55	8	to	to	PART
cana-5163	55	9	get	get	VERB
cana-5163	55	10	overview	overview	NOUN
cana-5163	55	11	of	of	ADP
cana-5163	55	12	progressive	progressive	ADJ
cana-5163	55	13	growth	growth	NOUN
cana-5163	55	14	of	of	ADP
cana-5163	55	15	ml	ml	ADP
cana-5163	55	16	,	,	PUNCT
cana-5163	55	17	dl	dl	PROPN
cana-5163	55	18	used	use	VERB
cana-5163	55	19	with	with	ADP
cana-5163	55	20	nlp	nlp	NOUN
cana-5163	55	21	to	to	PART
cana-5163	55	22	detect	detect	VERB
cana-5163	55	23	depression	depression	NOUN
cana-5163	55	24	from	from	ADP
cana-5163	55	25	social	social	ADJ
cana-5163	55	26	media	medium	NOUN
cana-5163	55	27	platforms	platform	NOUN
cana-5163	55	28	like	like	ADP
cana-5163	55	29	reddit	reddit	NOUN
cana-5163	55	30	,	,	PUNCT
cana-5163	55	31	facebook	facebook	NOUN
cana-5163	55	32	,	,	PUNCT
cana-5163	55	33	twitter	twitter	NOUN
cana-5163	55	34	,	,	PUNCT
cana-5163	55	35	and	and	CCONJ
cana-5163	55	36	instagram	instagram	PROPN
cana-5163	55	37	.	.	PUNCT
cana-5163	56	1	this	this	DET
cana-5163	56	2	section	section	NOUN
cana-5163	56	3	will	will	AUX
cana-5163	56	4	pinpoints	pinpoint	VERB
cana-5163	56	5	the	the	DET
cana-5163	56	6	progressive	progressive	ADJ
cana-5163	56	7	growth	growth	NOUN
cana-5163	56	8	of	of	ADP
cana-5163	56	9	conventional	conventional	ADJ
cana-5163	56	10	approaches	approach	NOUN
cana-5163	56	11	to	to	ADP
cana-5163	56	12	modern	modern	ADJ
cana-5163	56	13	techniques	technique	NOUN
cana-5163	56	14	such	such	ADJ
cana-5163	56	15	as	as	ADP
cana-5163	56	16	deep	deep	ADJ
cana-5163	56	17	learning	learning	NOUN
cana-5163	56	18	and	and	CCONJ
cana-5163	56	19	transformer	transformer	NOUN
cana-5163	56	20	models	model	NOUN
cana-5163	56	21	together	together	ADV
cana-5163	56	22	with	with	ADP
cana-5163	56	23	nlp	nlp	NOUN
cana-5163	56	24	.	.	PROPN
cana-5163	56	25	3.1	3.1	NUM
cana-5163	56	26	traditional	traditional	ADJ
cana-5163	56	27	machine	machine	NOUN
cana-5163	56	28	learning	learn	VERB
cana-5163	56	29	techniques	technique	NOUN
cana-5163	56	30	and	and	CCONJ
cana-5163	56	31	ensemble	ensemble	ADJ
cana-5163	56	32	models	model	NOUN
cana-5163	56	33	with	with	ADP
cana-5163	56	34	nlp	nlp	NOUN
cana-5163	56	35	(	(	PUNCT
cana-5163	56	36	2015	2015	NUM
cana-5163	56	37	-	-	SYM
cana-5163	56	38	2024	2024	NUM
cana-5163	56	39	)	)	PUNCT
cana-5163	56	40	machine	machine	NOUN
cana-5163	56	41	learning	learn	VERB
cana-5163	56	42	classifiers	classifier	NOUN
cana-5163	56	43	gained	gain	VERB
cana-5163	56	44	significant	significant	ADJ
cana-5163	56	45	popularity	popularity	NOUN
cana-5163	56	46	starting	start	VERB
cana-5163	56	47	in	in	ADP
cana-5163	56	48	the	the	DET
cana-5163	56	49	mid-2010s	mid-2010s	NOUN
cana-5163	56	50	for	for	ADP
cana-5163	56	51	depression	depression	NOUN
cana-5163	56	52	detection	detection	NOUN
cana-5163	56	53	in	in	ADP
cana-5163	56	54	social	social	ADJ
cana-5163	56	55	media	medium	NOUN
cana-5163	56	56	data	datum	NOUN
cana-5163	56	57	(	(	PUNCT
cana-5163	56	58	hassan	hassan	PROPN
cana-5163	56	59	et	et	PROPN
cana-5163	56	60	al	al	PROPN
cana-5163	56	61	.	.	PROPN
cana-5163	56	62	,	,	PUNCT
cana-5163	56	63	2017	2017	NUM
cana-5163	56	64	;	;	PUNCT
cana-5163	56	65	mcmanus	mcmanus	PROPN
cana-5163	56	66	et	et	PROPN
cana-5163	56	67	al	al	PROPN
cana-5163	56	68	.	.	PROPN
cana-5163	56	69	,	,	PUNCT
cana-5163	56	70	2015	2015	NUM
cana-5163	56	71	)	)	PUNCT
cana-5163	56	72	.	.	PUNCT
cana-5163	57	1	the	the	DET
cana-5163	57	2	advancement	advancement	NOUN
cana-5163	57	3	of	of	ADP
cana-5163	57	4	natural	natural	ADJ
cana-5163	57	5	language	language	NOUN
cana-5163	57	6	processing	processing	NOUN
cana-5163	57	7	(	(	PUNCT
cana-5163	57	8	nlp	nlp	NOUN
cana-5163	57	9	)	)	PUNCT
cana-5163	57	10	techniques	technique	NOUN
cana-5163	57	11	in	in	ADP
cana-5163	57	12	combination	combination	NOUN
cana-5163	57	13	with	with	ADP
cana-5163	57	14	machine	machine	NOUN
cana-5163	57	15	learning	learning	NOUN
cana-5163	57	16	(	(	PUNCT
cana-5163	57	17	ml	ml	NOUN
cana-5163	57	18	)	)	PUNCT
cana-5163	57	19	methods	method	NOUN
cana-5163	57	20	drew	draw	VERB
cana-5163	57	21	the	the	DET
cana-5163	57	22	attention	attention	NOUN
cana-5163	57	23	of	of	ADP
cana-5163	57	24	researchers	researcher	NOUN
cana-5163	57	25	,	,	PUNCT
cana-5163	57	26	as	as	SCONJ
cana-5163	57	27	emotional	emotional	ADJ
cana-5163	57	28	feature	feature	NOUN
cana-5163	57	29	extraction	extraction	NOUN
cana-5163	57	30	notably	notably	ADV
cana-5163	57	31	improved	improve	VERB
cana-5163	57	32	the	the	DET
cana-5163	57	33	performance	performance	NOUN
cana-5163	57	34	of	of	ADP
cana-5163	57	35	these	these	DET
cana-5163	57	36	classifiers	classifier	NOUN
cana-5163	57	37	.	.	PUNCT
cana-5163	58	1	commonly	commonly	ADV
cana-5163	58	2	used	use	VERB
cana-5163	58	3	supervised	supervise	VERB
cana-5163	58	4	ml	ml	NOUN
cana-5163	58	5	algorithms	algorithm	NOUN
cana-5163	58	6	include	include	VERB
cana-5163	58	7	:	:	PUNCT
cana-5163	58	8	support	support	NOUN
cana-5163	58	9	vector	vector	NOUN
cana-5163	58	10	machines	machine	NOUN
cana-5163	58	11	(	(	PUNCT
cana-5163	58	12	svm	svm	PROPN
cana-5163	58	13	)	)	PUNCT
cana-5163	58	14	,	,	PUNCT
cana-5163	58	15	decision	decision	NOUN
cana-5163	58	16	trees	tree	NOUN
cana-5163	58	17	(	(	PUNCT
cana-5163	58	18	dt	dt	PROPN
cana-5163	58	19	)	)	PUNCT
cana-5163	58	20	,	,	PUNCT
cana-5163	58	21	k	k	X
cana-5163	58	22	-	-	PUNCT
cana-5163	58	23	nearest	near	ADJ
cana-5163	58	24	neighbors	neighbor	NOUN
cana-5163	58	25	(	(	PUNCT
cana-5163	58	26	knn	knn	PROPN
cana-5163	58	27	)	)	PUNCT
cana-5163	58	28	,	,	PUNCT
cana-5163	58	29	random	random	ADJ
cana-5163	58	30	forests	forest	NOUN
cana-5163	58	31	(	(	PUNCT
cana-5163	58	32	rf	rf	NOUN
cana-5163	58	33	)	)	PUNCT
cana-5163	58	34	,	,	PUNCT
cana-5163	58	35	naive	naive	ADJ
cana-5163	58	36	bayes	bayes	NOUN
cana-5163	58	37	(	(	PUNCT
cana-5163	58	38	nb	nb	NOUN
cana-5163	58	39	)	)	PUNCT
cana-5163	58	40	(	(	PUNCT
cana-5163	58	41	al	al	PROPN
cana-5163	58	42	year	year	NOUN
cana-5163	58	43	no	no	INTJ
cana-5163	58	44	.	.	PUNCT
cana-5163	59	1	of	of	ADP
cana-5163	59	2	papers	paper	NOUN
cana-5163	59	3	screened	screen	VERB
cana-5163	59	4	no	no	PRON
cana-5163	59	5	of	of	ADP
cana-5163	59	6	papers	paper	NOUN
cana-5163	59	7	included	include	VERB
cana-5163	59	8	2018	2018	NUM
cana-5163	59	9	4	4	NUM
cana-5163	59	10	1	1	NUM
cana-5163	59	11	2019	2019	NUM
cana-5163	59	12	9	9	NUM
cana-5163	59	13	2	2	NUM
cana-5163	59	14	2020	2020	NUM
cana-5163	59	15	6	6	NUM
cana-5163	59	16	2	2	NUM
cana-5163	59	17	2021	2021	NUM
cana-5163	59	18	8	8	NUM
cana-5163	59	19	3	3	NUM
cana-5163	59	20	2022	2022	NUM
cana-5163	59	21	12	12	NUM
cana-5163	59	22	4	4	NUM
cana-5163	59	23	2023	2023	NUM
cana-5163	59	24	18	18	NUM
cana-5163	59	25	5	5	NUM
cana-5163	59	26	2024	2024	NUM
cana-5163	59	27	17	17	NUM
cana-5163	59	28	12	12	NUM
cana-5163	59	29	2025	2025	NUM
cana-5163	59	30	4	4	NUM
cana-5163	59	31	3	3	NUM
cana-5163	59	32	communications	communication	NOUN
cana-5163	59	33	on	on	ADP
cana-5163	59	34	applied	apply	VERB
cana-5163	59	35	nonlinear	nonlinear	ADJ
cana-5163	59	36	analysis	analysis	NOUN
cana-5163	59	37	issn	issn	NOUN
cana-5163	59	38	:	:	PUNCT
cana-5163	59	39	1074	1074	NUM
cana-5163	59	40	-	-	PUNCT
cana-5163	59	41	133x	133x	NUM
cana-5163	59	42	vol	vol	NOUN
cana-5163	59	43	32	32	NUM
cana-5163	59	44	no	no	NOUN
cana-5163	59	45	.	.	PUNCT
cana-5163	60	1	icmasd	icmasd	NOUN
cana-5163	60	2	(	(	PUNCT
cana-5163	60	3	2025	2025	NUM
cana-5163	60	4	)	)	PUNCT
cana-5163	60	5	1392	1392	NUM
cana-5163	60	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	60	7	asad	asad	PROPN
cana-5163	60	8	,	,	PUNCT
cana-5163	60	9	mahmud	mahmud	PROPN
cana-5163	60	10	pranto	pranto	NOUN
cana-5163	60	11	,	,	PUNCT
cana-5163	60	12	&	&	CCONJ
cana-5163	60	13	afreen	afreen	PROPN
cana-5163	60	14	,	,	PUNCT
cana-5163	60	15	2019	2019	NUM
cana-5163	60	16	;	;	PUNCT
cana-5163	60	17	almouzini	almouzini	PROPN
cana-5163	60	18	,	,	PUNCT
cana-5163	60	19	khemakhem	khemakhem	PROPN
cana-5163	60	20	,	,	PUNCT
cana-5163	60	21	&	&	CCONJ
cana-5163	60	22	alageel	alageel	PROPN
cana-5163	60	23	,	,	PUNCT
cana-5163	60	24	2019	2019	NUM
cana-5163	60	25	;	;	PUNCT
cana-5163	60	26	govindasamy	govindasamy	NOUN
cana-5163	60	27	&	&	CCONJ
cana-5163	60	28	palanichamy	palanichamy	NOUN
cana-5163	60	29	,	,	PUNCT
cana-5163	60	30	2021	2021	NUM
cana-5163	60	31	;	;	PUNCT
cana-5163	60	32	islam	islam	PROPN
cana-5163	60	33	et	et	PROPN
cana-5163	60	34	al	al	PROPN
cana-5163	60	35	.	.	PROPN
cana-5163	60	36	,	,	PUNCT
cana-5163	60	37	2018	2018	NUM
cana-5163	60	38	;	;	PUNCT
cana-5163	60	39	pande	pande	NOUN
cana-5163	60	40	et	et	PROPN
cana-5163	60	41	al	al	PROPN
cana-5163	60	42	.	.	PROPN
cana-5163	60	43	,	,	PUNCT
cana-5163	60	44	2024	2024	NUM
cana-5163	60	45	;	;	PUNCT
cana-5163	60	46	michael	michael	PROPN
cana-5163	60	47	m.	m.	PROPN
cana-5163	60	48	tadesse	tadesse	PROPN
cana-5163	60	49	,	,	PUNCT
cana-5163	60	50	lin	lin	PROPN
cana-5163	60	51	,	,	PUNCT
cana-5163	60	52	xu	xu	PROPN
cana-5163	60	53	,	,	PUNCT
cana-5163	60	54	&	&	CCONJ
cana-5163	60	55	yang	yang	PROPN
cana-5163	60	56	,	,	PUNCT
cana-5163	60	57	2019	2019	NUM
cana-5163	60	58	;	;	PUNCT
cana-5163	60	59	vasha	vasha	PROPN
cana-5163	60	60	et	et	PROPN
cana-5163	60	61	al	al	PROPN
cana-5163	60	62	.	.	PROPN
cana-5163	60	63	,	,	PUNCT
cana-5163	60	64	2023	2023	NUM
cana-5163	60	65	)	)	PUNCT
cana-5163	60	66	,	,	PUNCT
cana-5163	60	67	gradient	gradient	NOUN
cana-5163	60	68	boosting	boosting	NOUN
cana-5163	60	69	(	(	PUNCT
cana-5163	60	70	gb	gb	NOUN
cana-5163	60	71	)	)	PUNCT
cana-5163	60	72	(	(	PUNCT
cana-5163	60	73	chiong	chiong	NOUN
cana-5163	60	74	et	et	PROPN
cana-5163	60	75	al	al	PROPN
cana-5163	60	76	.	.	PROPN
cana-5163	60	77	,	,	PUNCT
cana-5163	60	78	2021	2021	NUM
cana-5163	60	79	)	)	PUNCT
cana-5163	60	80	,	,	PUNCT
cana-5163	60	81	and	and	CCONJ
cana-5163	60	82	xgboost	xgboost	INTJ
cana-5163	60	83	(	(	PUNCT
cana-5163	60	84	kumar	kumar	PROPN
cana-5163	60	85	et	et	PROPN
cana-5163	60	86	al	al	PROPN
cana-5163	60	87	.	.	PROPN
cana-5163	60	88	,	,	PUNCT
cana-5163	60	89	2022	2022	NUM
cana-5163	60	90	)	)	PUNCT
cana-5163	60	91	.	.	PUNCT
cana-5163	61	1	frequently	frequently	ADV
cana-5163	61	2	utilized	utilize	VERB
cana-5163	61	3	nlp	nlp	NOUN
cana-5163	61	4	techniques	technique	NOUN
cana-5163	61	5	with	with	ADP
cana-5163	61	6	ml	ml	NOUN
cana-5163	61	7	models	model	NOUN
cana-5163	61	8	include	include	VERB
cana-5163	61	9	linguistic	linguistic	ADJ
cana-5163	61	10	inquiry	inquiry	NOUN
cana-5163	61	11	and	and	CCONJ
cana-5163	61	12	word	word	NOUN
cana-5163	61	13	count	count	NOUN
cana-5163	61	14	(	(	PUNCT
cana-5163	61	15	liwc	liwc	PROPN
cana-5163	61	16	)	)	PUNCT
cana-5163	61	17	,	,	PUNCT
cana-5163	61	18	latent	latent	ADJ
cana-5163	61	19	dirichlet	dirichlet	PROPN
cana-5163	61	20	allocation	allocation	NOUN
cana-5163	61	21	(	(	PUNCT
cana-5163	61	22	lda	lda	PROPN
cana-5163	61	23	)	)	PUNCT
cana-5163	61	24	,	,	PUNCT
cana-5163	61	25	term	term	NOUN
cana-5163	61	26	frequency	frequency	NOUN
cana-5163	61	27	-	-	PUNCT
cana-5163	61	28	inverse	inverse	NOUN
cana-5163	61	29	document	document	NOUN
cana-5163	61	30	frequency	frequency	NOUN
cana-5163	61	31	(	(	PUNCT
cana-5163	61	32	tf	tf	PROPN
cana-5163	61	33	-	-	PUNCT
cana-5163	61	34	idf	idf	NOUN
cana-5163	61	35	)	)	PUNCT
cana-5163	61	36	,	,	PUNCT
cana-5163	61	37	and	and	CCONJ
cana-5163	61	38	n	n	CCONJ
cana-5163	61	39	-	-	PUNCT
cana-5163	61	40	grams	gram	NOUN
cana-5163	61	41	.	.	PUNCT
cana-5163	62	1	some	some	DET
cana-5163	62	2	studies	study	NOUN
cana-5163	62	3	have	have	AUX
cana-5163	62	4	also	also	ADV
cana-5163	62	5	incorporated	incorporate	VERB
cana-5163	62	6	fasttext	fasttext	NOUN
cana-5163	62	7	embeddings	embedding	NOUN
cana-5163	62	8	as	as	ADP
cana-5163	62	9	a	a	DET
cana-5163	62	10	word	word	NOUN
cana-5163	62	11	representation	representation	NOUN
cana-5163	62	12	technique	technique	NOUN
cana-5163	62	13	,	,	PUNCT
cana-5163	62	14	combined	combine	VERB
cana-5163	62	15	with	with	ADP
cana-5163	62	16	xgboost	xgboost	PROPN
cana-5163	62	17	(	(	PUNCT
cana-5163	62	18	ghosal	ghosal	PROPN
cana-5163	62	19	&	&	CCONJ
cana-5163	62	20	jain	jain	PROPN
cana-5163	62	21	,	,	PUNCT
cana-5163	62	22	2023	2023	NUM
cana-5163	62	23	)	)	PUNCT
cana-5163	62	24	.	.	PUNCT
cana-5163	63	1	in	in	ADP
cana-5163	63	2	late	late	ADJ
cana-5163	63	3	2020	2020	NUM
cana-5163	63	4	,	,	PUNCT
cana-5163	63	5	ensemble	ensemble	ADJ
cana-5163	63	6	models	model	NOUN
cana-5163	63	7	demonstrated	demonstrate	VERB
cana-5163	63	8	superior	superior	ADJ
cana-5163	63	9	performance	performance	NOUN
cana-5163	63	10	compared	compare	VERB
cana-5163	63	11	to	to	ADP
cana-5163	63	12	traditional	traditional	ADJ
cana-5163	63	13	models	model	NOUN
cana-5163	63	14	in	in	ADP
cana-5163	63	15	certain	certain	ADJ
cana-5163	63	16	studies	study	NOUN
cana-5163	63	17	(	(	PUNCT
cana-5163	63	18	shah	shah	PROPN
cana-5163	63	19	et	et	PROPN
cana-5163	63	20	al	al	PROPN
cana-5163	63	21	.	.	PROPN
cana-5163	63	22	,	,	PUNCT
cana-5163	63	23	2020	2020	NUM
cana-5163	63	24	)	)	PUNCT
cana-5163	63	25	.	.	PUNCT
cana-5163	64	1	however	however	ADV
cana-5163	64	2	,	,	PUNCT
cana-5163	64	3	the	the	DET
cana-5163	64	4	performance	performance	NOUN
cana-5163	64	5	of	of	ADP
cana-5163	64	6	ml	ml	NOUN
cana-5163	64	7	models	model	NOUN
cana-5163	64	8	can	can	AUX
cana-5163	64	9	be	be	AUX
cana-5163	64	10	significantly	significantly	ADV
cana-5163	64	11	impacted	impact	VERB
cana-5163	64	12	by	by	ADP
cana-5163	64	13	large	large	ADJ
cana-5163	64	14	,	,	PUNCT
cana-5163	64	15	highly	highly	ADV
cana-5163	64	16	imbalanced	imbalanced	ADJ
cana-5163	64	17	,	,	PUNCT
cana-5163	64	18	and	and	CCONJ
cana-5163	64	19	poorly	poorly	ADV
cana-5163	64	20	designed	design	VERB
cana-5163	64	21	datasets	dataset	NOUN
cana-5163	64	22	used	use	VERB
cana-5163	64	23	for	for	ADP
cana-5163	64	24	training	training	NOUN
cana-5163	64	25	and	and	CCONJ
cana-5163	64	26	testing	testing	NOUN
cana-5163	64	27	.	.	PUNCT
cana-5163	65	1	additionally	additionally	ADV
cana-5163	65	2	,	,	PUNCT
cana-5163	65	3	the	the	DET
cana-5163	65	4	lack	lack	NOUN
cana-5163	65	5	of	of	ADP
cana-5163	65	6	context	context	NOUN
cana-5163	65	7	in	in	ADP
cana-5163	65	8	textual	textual	ADJ
cana-5163	65	9	data	datum	NOUN
cana-5163	65	10	often	often	ADV
cana-5163	65	11	limits	limit	VERB
cana-5163	65	12	the	the	DET
cana-5163	65	13	models	model	NOUN
cana-5163	65	14	'	'	PART
cana-5163	65	15	ability	ability	NOUN
cana-5163	65	16	to	to	PART
cana-5163	65	17	identify	identify	VERB
cana-5163	65	18	the	the	DET
cana-5163	65	19	fine	fine	ADV
cana-5163	65	20	-	-	PUNCT
cana-5163	65	21	grained	grain	VERB
cana-5163	65	22	symptoms	symptom	NOUN
cana-5163	65	23	of	of	ADP
cana-5163	65	24	depression	depression	NOUN
cana-5163	65	25	in	in	ADP
cana-5163	65	26	social	social	ADJ
cana-5163	65	27	media	medium	NOUN
cana-5163	65	28	content	content	NOUN
cana-5163	65	29	.	.	PUNCT
cana-5163	66	1	figure	figure	NOUN
cana-5163	66	2	2	2	NUM
cana-5163	66	3	.	.	PUNCT
cana-5163	66	4	prisma	prisma	PROPN
cana-5163	66	5	flowchart	flowchart	PROPN
cana-5163	66	6	for	for	ADP
cana-5163	66	7	selection	selection	NOUN
cana-5163	66	8	process	process	NOUN
cana-5163	66	9	of	of	ADP
cana-5163	66	10	systematic	systematic	ADJ
cana-5163	66	11	review	review	NOUN
cana-5163	66	12	of	of	ADP
cana-5163	66	13	deep	deep	ADJ
cana-5163	66	14	learning	learning	NOUN
cana-5163	66	15	and	and	CCONJ
cana-5163	66	16	nlp	nlp	NOUN
cana-5163	66	17	techniques	technique	NOUN
cana-5163	66	18	for	for	ADP
cana-5163	66	19	depression	depression	NOUN
cana-5163	66	20	detection	detection	NOUN
cana-5163	66	21	in	in	ADP
cana-5163	66	22	social	social	ADJ
cana-5163	66	23	media	medium	NOUN
cana-5163	66	24	.	.	PUNCT
cana-5163	67	1	communications	communication	NOUN
cana-5163	67	2	on	on	ADP
cana-5163	67	3	applied	apply	VERB
cana-5163	67	4	nonlinear	nonlinear	ADJ
cana-5163	67	5	analysis	analysis	NOUN
cana-5163	67	6	issn	issn	NOUN
cana-5163	67	7	:	:	PUNCT
cana-5163	67	8	1074	1074	NUM
cana-5163	67	9	-	-	PUNCT
cana-5163	67	10	133x	133x	NUM
cana-5163	67	11	vol	vol	NOUN
cana-5163	67	12	32	32	NUM
cana-5163	67	13	no	no	NOUN
cana-5163	67	14	.	.	PUNCT
cana-5163	68	1	icmasd	icmasd	NOUN
cana-5163	68	2	(	(	PUNCT
cana-5163	68	3	2025	2025	NUM
cana-5163	68	4	)	)	PUNCT
cana-5163	68	5	1393	1393	NUM
cana-5163	68	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	68	7	3.2	3.2	NUM
cana-5163	68	8	emergence	emergence	NOUN
cana-5163	68	9	of	of	ADP
cana-5163	68	10	deep	deep	ADJ
cana-5163	68	11	learning	learning	NOUN
cana-5163	68	12	in	in	ADP
cana-5163	68	13	natural	natural	ADJ
cana-5163	68	14	language	language	NOUN
cana-5163	68	15	processing	processing	NOUN
cana-5163	68	16	(	(	PUNCT
cana-5163	68	17	nlp	nlp	NOUN
cana-5163	68	18	)	)	PUNCT
cana-5163	68	19	(	(	PUNCT
cana-5163	68	20	2018	2018	NUM
cana-5163	68	21	-	-	PUNCT
cana-5163	68	22	present	present	ADJ
cana-5163	68	23	)	)	PUNCT
cana-5163	68	24	the	the	DET
cana-5163	68	25	advent	advent	NOUN
cana-5163	68	26	of	of	ADP
cana-5163	68	27	deep	deep	ADJ
cana-5163	68	28	learning	learning	NOUN
cana-5163	68	29	(	(	PUNCT
cana-5163	68	30	dl	dl	INTJ
cana-5163	68	31	)	)	PUNCT
cana-5163	68	32	has	have	AUX
cana-5163	68	33	significantly	significantly	ADV
cana-5163	68	34	surpassed	surpass	VERB
cana-5163	68	35	the	the	DET
cana-5163	68	36	limitations	limitation	NOUN
cana-5163	68	37	of	of	ADP
cana-5163	68	38	traditional	traditional	ADJ
cana-5163	68	39	machine	machine	NOUN
cana-5163	68	40	learning	learning	NOUN
cana-5163	68	41	(	(	PUNCT
cana-5163	68	42	ml	ml	NOUN
cana-5163	68	43	)	)	PUNCT
cana-5163	68	44	,	,	PUNCT
cana-5163	68	45	particularly	particularly	ADV
cana-5163	68	46	in	in	ADP
cana-5163	68	47	natural	natural	ADJ
cana-5163	68	48	language	language	NOUN
cana-5163	68	49	processing	processing	NOUN
cana-5163	68	50	(	(	PUNCT
cana-5163	68	51	nlp	nlp	NOUN
cana-5163	68	52	)	)	PUNCT
cana-5163	68	53	.	.	PUNCT
cana-5163	69	1	unlike	unlike	ADP
cana-5163	69	2	ml	ml	NOUN
cana-5163	69	3	,	,	PUNCT
cana-5163	69	4	dl	dl	PROPN
cana-5163	69	5	models	model	NOUN
cana-5163	69	6	can	can	AUX
cana-5163	69	7	autonomously	autonomously	ADV
cana-5163	69	8	detect	detect	VERB
cana-5163	69	9	complex	complex	ADJ
cana-5163	69	10	patterns	pattern	NOUN
cana-5163	69	11	and	and	CCONJ
cana-5163	69	12	features	feature	NOUN
cana-5163	69	13	from	from	ADP
cana-5163	69	14	raw	raw	ADJ
cana-5163	69	15	data	datum	NOUN
cana-5163	69	16	,	,	PUNCT
cana-5163	69	17	making	make	VERB
cana-5163	69	18	them	they	PRON
cana-5163	69	19	exceptionally	exceptionally	ADV
cana-5163	69	20	efficient	efficient	ADJ
cana-5163	69	21	at	at	ADP
cana-5163	69	22	handling	handle	VERB
cana-5163	69	23	large	large	ADJ
cana-5163	69	24	datasets	dataset	NOUN
cana-5163	69	25	with	with	ADP
cana-5163	69	26	highly	highly	ADV
cana-5163	69	27	contextualized	contextualized	ADJ
cana-5163	69	28	information	information	NOUN
cana-5163	69	29	.	.	PUNCT
cana-5163	70	1	deep	deep	ADJ
cana-5163	70	2	learning	learning	NOUN
cana-5163	70	3	techniques	technique	NOUN
cana-5163	70	4	began	begin	VERB
cana-5163	70	5	to	to	PART
cana-5163	70	6	gain	gain	VERB
cana-5163	70	7	prominence	prominence	NOUN
cana-5163	70	8	around	around	ADP
cana-5163	70	9	2011	2011	NUM
cana-5163	70	10	due	due	ADP
cana-5163	70	11	to	to	ADP
cana-5163	70	12	their	their	PRON
cana-5163	70	13	remarkable	remarkable	ADJ
cana-5163	70	14	performance	performance	NOUN
cana-5163	70	15	in	in	ADP
cana-5163	70	16	various	various	ADJ
cana-5163	70	17	domains	domain	NOUN
cana-5163	70	18	,	,	PUNCT
cana-5163	70	19	including	include	VERB
cana-5163	70	20	nlp	nlp	NOUN
cana-5163	70	21	.	.	PUNCT
cana-5163	71	1	one	one	NUM
cana-5163	71	2	of	of	ADP
cana-5163	71	3	the	the	DET
cana-5163	71	4	pivotal	pivotal	ADJ
cana-5163	71	5	milestones	milestone	NOUN
cana-5163	71	6	in	in	ADP
cana-5163	71	7	nlp	nlp	NOUN
cana-5163	71	8	was	be	AUX
cana-5163	71	9	the	the	DET
cana-5163	71	10	use	use	NOUN
cana-5163	71	11	of	of	ADP
cana-5163	71	12	long	long	ADJ
cana-5163	71	13	short	short	ADJ
cana-5163	71	14	-	-	PUNCT
cana-5163	71	15	term	term	NOUN
cana-5163	71	16	memory	memory	NOUN
cana-5163	71	17	(	(	PUNCT
cana-5163	71	18	lstm	lstm	NOUN
cana-5163	71	19	)	)	PUNCT
cana-5163	71	20	networks	network	NOUN
cana-5163	71	21	for	for	ADP
cana-5163	71	22	textual	textual	ADJ
cana-5163	71	23	data	datum	NOUN
cana-5163	71	24	(	(	PUNCT
cana-5163	71	25	coppersmith	coppersmith	PROPN
cana-5163	71	26	,	,	PUNCT
cana-5163	71	27	leary	leary	PROPN
cana-5163	71	28	,	,	PUNCT
cana-5163	71	29	crutchley	crutchley	PROPN
cana-5163	71	30	,	,	PUNCT
cana-5163	71	31	&	&	CCONJ
cana-5163	71	32	fine	fine	ADJ
cana-5163	71	33	,	,	PUNCT
cana-5163	71	34	2018	2018	NUM
cana-5163	71	35	)	)	PUNCT
cana-5163	71	36	.	.	PUNCT
cana-5163	72	1	lstm	lstm	NOUN
cana-5163	72	2	was	be	AUX
cana-5163	72	3	soon	soon	ADV
cana-5163	72	4	followed	follow	VERB
cana-5163	72	5	by	by	ADP
cana-5163	72	6	advancements	advancement	NOUN
cana-5163	72	7	like	like	ADP
cana-5163	72	8	bidirectional	bidirectional	ADJ
cana-5163	72	9	lstm	lstm	NOUN
cana-5163	72	10	(	(	PUNCT
cana-5163	72	11	bilstm	bilstm	NOUN
cana-5163	72	12	)	)	PUNCT
cana-5163	72	13	(	(	PUNCT
cana-5163	72	14	shah	shah	PROPN
cana-5163	72	15	et	et	PROPN
cana-5163	72	16	al	al	PROPN
cana-5163	72	17	.	.	PROPN
cana-5163	72	18	,	,	PUNCT
cana-5163	72	19	2020	2020	NUM
cana-5163	72	20	)	)	PUNCT
cana-5163	72	21	,	,	PUNCT
cana-5163	72	22	convolutional	convolutional	ADJ
cana-5163	72	23	neural	neural	ADJ
cana-5163	72	24	networks	network	NOUN
cana-5163	72	25	(	(	PUNCT
cana-5163	72	26	cnn	cnn	PROPN
cana-5163	72	27	)	)	PUNCT
cana-5163	72	28	combined	combine	VERB
cana-5163	72	29	with	with	ADP
cana-5163	72	30	lstm	lstm	NOUN
cana-5163	72	31	(	(	PUNCT
cana-5163	72	32	garcía	garcía	NOUN
cana-5163	72	33	-	-	PUNCT
cana-5163	72	34	noguez	noguez	NOUN
cana-5163	72	35	,	,	PUNCT
cana-5163	72	36	tovar	tovar	PROPN
cana-5163	72	37	-	-	PUNCT
cana-5163	72	38	arriaga	arriaga	PROPN
cana-5163	72	39	,	,	PUNCT
cana-5163	72	40	paredes	parede	NOUN
cana-5163	72	41	-	-	PUNCT
cana-5163	72	42	garcía	garcía	ADJ
cana-5163	72	43	,	,	PUNCT
cana-5163	72	44	ramos	ramo	NOUN
cana-5163	72	45	-	-	NOUN
cana-5163	72	46	arreguín	arreguín	PROPN
cana-5163	72	47	,	,	PUNCT
cana-5163	72	48	&	&	CCONJ
cana-5163	72	49	aceves	aceves	PROPN
cana-5163	72	50	-	-	PUNCT
cana-5163	72	51	fernández	fernández	PROPN
cana-5163	72	52	,	,	PUNCT
cana-5163	72	53	2023	2023	NUM
cana-5163	72	54	;	;	PUNCT
cana-5163	72	55	kumnunt	kumnunt	PROPN
cana-5163	72	56	&	&	CCONJ
cana-5163	72	57	sornil	sornil	PROPN
cana-5163	72	58	,	,	PUNCT
cana-5163	72	59	2020	2020	NUM
cana-5163	72	60	;	;	PUNCT
cana-5163	72	61	merayo	merayo	NOUN
cana-5163	72	62	,	,	PUNCT
cana-5163	72	63	ayuso	ayuso	NOUN
cana-5163	72	64	-	-	PUNCT
cana-5163	72	65	lanchares	lanchare	NOUN
cana-5163	72	66	,	,	PUNCT
cana-5163	72	67	&	&	CCONJ
cana-5163	72	68	gonzálezsanguino	gonzálezsanguino	PROPN
cana-5163	72	69	,	,	PUNCT
cana-5163	72	70	2025	2025	NUM
cana-5163	72	71	)	)	PUNCT
cana-5163	72	72	,	,	PUNCT
cana-5163	72	73	and	and	CCONJ
cana-5163	72	74	recurrent	recurrent	ADJ
cana-5163	72	75	neural	neural	ADJ
cana-5163	72	76	networks	network	NOUN
cana-5163	72	77	(	(	PUNCT
cana-5163	72	78	rnn	rnn	PROPN
cana-5163	72	79	)	)	PUNCT
cana-5163	72	80	(	(	PUNCT
cana-5163	72	81	amanat	amanat	NOUN
cana-5163	72	82	et	et	PROPN
cana-5163	72	83	al	al	PROPN
cana-5163	72	84	.	.	PROPN
cana-5163	72	85	,	,	PUNCT
cana-5163	72	86	2022	2022	NUM
cana-5163	72	87	;	;	PUNCT
cana-5163	72	88	phaninder	phaninder	NOUN
cana-5163	72	89	et	et	PROPN
cana-5163	72	90	al	al	PROPN
cana-5163	72	91	.	.	PROPN
cana-5163	72	92	,	,	PUNCT
cana-5163	72	93	2024	2024	NUM
cana-5163	72	94	;	;	PUNCT
cana-5163	72	95	kanahuati	kanahuati	PROPN
cana-5163	72	96	-	-	PUNCT
cana-5163	72	97	ceballos	ceballos	PROPN
cana-5163	72	98	et	et	PROPN
cana-5163	72	99	al	al	PROPN
cana-5163	72	100	.	.	PROPN
cana-5163	72	101	,	,	PUNCT
cana-5163	72	102	2024	2024	NUM
cana-5163	72	103	)	)	PUNCT
cana-5163	72	104	.	.	PUNCT
cana-5163	73	1	these	these	DET
cana-5163	73	2	models	model	NOUN
cana-5163	73	3	represent	represent	VERB
cana-5163	73	4	the	the	DET
cana-5163	73	5	state	state	NOUN
cana-5163	73	6	-	-	PUNCT
cana-5163	73	7	of	of	ADP
cana-5163	73	8	-	-	PUNCT
cana-5163	73	9	the	the	DET
cana-5163	73	10	-	-	PUNCT
cana-5163	73	11	art	art	NOUN
cana-5163	73	12	in	in	ADP
cana-5163	73	13	deep	deep	ADJ
cana-5163	73	14	learning	learning	NOUN
cana-5163	73	15	for	for	ADP
cana-5163	73	16	nlp	nlp	NOUN
cana-5163	73	17	tasks	task	NOUN
cana-5163	73	18	,	,	PUNCT
cana-5163	73	19	offering	offer	VERB
cana-5163	73	20	superior	superior	ADJ
cana-5163	73	21	performance	performance	NOUN
cana-5163	73	22	over	over	ADP
cana-5163	73	23	conventional	conventional	ADJ
cana-5163	73	24	techniques	technique	NOUN
cana-5163	73	25	.	.	PUNCT
cana-5163	74	1	moreover	moreover	ADV
cana-5163	74	2	,	,	PUNCT
cana-5163	74	3	dl	dl	PROPN
cana-5163	74	4	classifiers	classifier	NOUN
cana-5163	74	5	often	often	ADV
cana-5163	74	6	integrate	integrate	VERB
cana-5163	74	7	nlp	nlp	ADJ
cana-5163	74	8	pre	pre	ADJ
cana-5163	74	9	-	-	ADJ
cana-5163	74	10	processing	processing	ADJ
cana-5163	74	11	techniques	technique	NOUN
cana-5163	74	12	such	such	ADJ
cana-5163	74	13	as	as	ADP
cana-5163	74	14	word	word	NOUN
cana-5163	74	15	embeddings	embedding	NOUN
cana-5163	74	16	,	,	PUNCT
cana-5163	74	17	tokenization	tokenization	NOUN
cana-5163	74	18	,	,	PUNCT
cana-5163	74	19	stemming	stemming	NOUN
cana-5163	74	20	,	,	PUNCT
cana-5163	74	21	and	and	CCONJ
cana-5163	74	22	lemmatization	lemmatization	VERB
cana-5163	74	23	for	for	ADP
cana-5163	74	24	feature	feature	NOUN
cana-5163	74	25	extraction	extraction	NOUN
cana-5163	74	26	.	.	PUNCT
cana-5163	75	1	these	these	DET
cana-5163	75	2	methods	method	NOUN
cana-5163	75	3	serve	serve	VERB
cana-5163	75	4	to	to	PART
cana-5163	75	5	enhance	enhance	VERB
cana-5163	75	6	the	the	DET
cana-5163	75	7	representation	representation	NOUN
cana-5163	75	8	of	of	ADP
cana-5163	75	9	textual	textual	ADJ
cana-5163	75	10	data	datum	NOUN
cana-5163	75	11	,	,	PUNCT
cana-5163	75	12	facilitating	facilitate	VERB
cana-5163	75	13	better	well	ADJ
cana-5163	75	14	model	model	NOUN
cana-5163	75	15	learning	learning	NOUN
cana-5163	75	16	and	and	CCONJ
cana-5163	75	17	improving	improve	VERB
cana-5163	75	18	the	the	DET
cana-5163	75	19	accuracy	accuracy	NOUN
cana-5163	75	20	of	of	ADP
cana-5163	75	21	predictions	prediction	NOUN
cana-5163	75	22	.	.	PUNCT
cana-5163	76	1	3.3	3.3	NUM
cana-5163	76	2	transformer	transformer	NOUN
cana-5163	76	3	models	model	NOUN
cana-5163	76	4	with	with	ADP
cana-5163	76	5	self	self	NOUN
cana-5163	76	6	-	-	PUNCT
cana-5163	76	7	attention	attention	NOUN
cana-5163	76	8	mechanism	mechanism	NOUN
cana-5163	76	9	(	(	PUNCT
cana-5163	76	10	2021	2021	NUM
cana-5163	76	11	-	-	PUNCT
cana-5163	76	12	present	present	ADJ
cana-5163	76	13	)	)	PUNCT
cana-5163	76	14	bert	bert	PROPN
cana-5163	76	15	,	,	PUNCT
cana-5163	76	16	introduced	introduce	VERB
cana-5163	76	17	in	in	ADP
cana-5163	76	18	late	late	ADJ
cana-5163	76	19	2018	2018	NUM
cana-5163	76	20	,	,	PUNCT
cana-5163	76	21	gained	gain	VERB
cana-5163	76	22	significant	significant	ADJ
cana-5163	76	23	attention	attention	NOUN
cana-5163	76	24	starting	start	VERB
cana-5163	76	25	in	in	ADP
cana-5163	76	26	2020	2020	NUM
cana-5163	76	27	and	and	CCONJ
cana-5163	76	28	has	have	AUX
cana-5163	76	29	since	since	SCONJ
cana-5163	76	30	become	become	VERB
cana-5163	76	31	one	one	NUM
cana-5163	76	32	of	of	ADP
cana-5163	76	33	the	the	DET
cana-5163	76	34	most	most	ADV
cana-5163	76	35	widely	widely	ADV
cana-5163	76	36	used	use	VERB
cana-5163	76	37	classifiers	classifier	NOUN
cana-5163	76	38	by	by	ADP
cana-5163	76	39	researchers	researcher	NOUN
cana-5163	76	40	.	.	PUNCT
cana-5163	77	1	transformer	transformer	NOUN
cana-5163	77	2	models	model	NOUN
cana-5163	77	3	,	,	PUNCT
cana-5163	77	4	like	like	ADP
cana-5163	77	5	bert	bert	PROPN
cana-5163	77	6	,	,	PUNCT
cana-5163	77	7	have	have	AUX
cana-5163	77	8	exceeded	exceed	VERB
cana-5163	77	9	expectations	expectation	NOUN
cana-5163	77	10	in	in	ADP
cana-5163	77	11	performance	performance	NOUN
cana-5163	77	12	for	for	ADP
cana-5163	77	13	tasks	task	NOUN
cana-5163	77	14	such	such	ADJ
cana-5163	77	15	as	as	ADP
cana-5163	77	16	depression	depression	NOUN
cana-5163	77	17	detection	detection	NOUN
cana-5163	77	18	,	,	PUNCT
cana-5163	77	19	not	not	PART
cana-5163	77	20	only	only	ADV
cana-5163	77	21	in	in	ADP
cana-5163	77	22	text	text	NOUN
cana-5163	77	23	but	but	CCONJ
cana-5163	77	24	also	also	ADV
cana-5163	77	25	in	in	ADP
cana-5163	77	26	images	image	NOUN
cana-5163	77	27	,	,	PUNCT
cana-5163	77	28	audio	audio	NOUN
cana-5163	77	29	,	,	PUNCT
cana-5163	77	30	and	and	CCONJ
cana-5163	77	31	video	video	NOUN
cana-5163	77	32	,	,	PUNCT
cana-5163	77	33	outperforming	outperform	VERB
cana-5163	77	34	traditional	traditional	ADJ
cana-5163	77	35	benchmarks	benchmark	NOUN
cana-5163	77	36	.	.	PUNCT
cana-5163	78	1	these	these	DET
cana-5163	78	2	deep	deep	ADJ
cana-5163	78	3	learning	learning	NOUN
cana-5163	78	4	models	model	NOUN
cana-5163	78	5	utilize	utilize	VERB
cana-5163	78	6	a	a	DET
cana-5163	78	7	selfattention	selfattention	NOUN
cana-5163	78	8	mechanism	mechanism	NOUN
cana-5163	78	9	to	to	PART
cana-5163	78	10	capture	capture	VERB
cana-5163	78	11	linguistic	linguistic	ADJ
cana-5163	78	12	features	feature	NOUN
cana-5163	78	13	and	and	CCONJ
cana-5163	78	14	excel	excel	VERB
cana-5163	78	15	at	at	ADP
cana-5163	78	16	handling	handle	VERB
cana-5163	78	17	contextual	contextual	ADJ
cana-5163	78	18	dependencies	dependency	NOUN
cana-5163	78	19	.	.	PUNCT
cana-5163	79	1	unlike	unlike	ADP
cana-5163	79	2	sequential	sequential	ADJ
cana-5163	79	3	deep	deep	ADJ
cana-5163	79	4	learning	learning	NOUN
cana-5163	79	5	models	model	NOUN
cana-5163	79	6	,	,	PUNCT
cana-5163	79	7	transformers	transformer	NOUN
cana-5163	79	8	process	process	VERB
cana-5163	79	9	input	input	NOUN
cana-5163	79	10	sequences	sequence	NOUN
cana-5163	79	11	in	in	ADP
cana-5163	79	12	parallel	parallel	NOUN
cana-5163	79	13	,	,	PUNCT
cana-5163	79	14	enabling	enable	VERB
cana-5163	79	15	faster	fast	ADV
cana-5163	79	16	and	and	CCONJ
cana-5163	79	17	more	more	ADV
cana-5163	79	18	efficient	efficient	ADJ
cana-5163	79	19	computation	computation	NOUN
cana-5163	79	20	.	.	PUNCT
cana-5163	80	1	bert	bert	PROPN
cana-5163	80	2	,	,	PUNCT
cana-5163	80	3	as	as	ADP
cana-5163	80	4	a	a	DET
cana-5163	80	5	fine	fine	ADV
cana-5163	80	6	-	-	PUNCT
cana-5163	80	7	tuned	tune	VERB
cana-5163	80	8	model	model	NOUN
cana-5163	80	9	,	,	PUNCT
cana-5163	80	10	is	be	AUX
cana-5163	80	11	applied	apply	VERB
cana-5163	80	12	to	to	ADP
cana-5163	80	13	a	a	DET
cana-5163	80	14	variety	variety	NOUN
cana-5163	80	15	of	of	ADP
cana-5163	80	16	nlp	nlp	NOUN
cana-5163	80	17	tasks	task	NOUN
cana-5163	80	18	,	,	PUNCT
cana-5163	80	19	and	and	CCONJ
cana-5163	80	20	has	have	VERB
cana-5163	80	21	variants	variant	NOUN
cana-5163	80	22	such	such	ADJ
cana-5163	80	23	as	as	ADP
cana-5163	80	24	roberta	roberta	PROPN
cana-5163	80	25	,	,	PUNCT
cana-5163	80	26	distilbert	distilbert	NOUN
cana-5163	80	27	,	,	PUNCT
cana-5163	80	28	and	and	CCONJ
cana-5163	80	29	deberta	deberta	NOUN
cana-5163	80	30	,	,	PUNCT
cana-5163	80	31	which	which	PRON
cana-5163	80	32	are	be	AUX
cana-5163	80	33	optimized	optimize	VERB
cana-5163	80	34	for	for	ADP
cana-5163	80	35	different	different	ADJ
cana-5163	80	36	types	type	NOUN
cana-5163	80	37	of	of	ADP
cana-5163	80	38	data	datum	NOUN
cana-5163	80	39	.	.	PUNCT
cana-5163	81	1	(	(	PUNCT
cana-5163	81	2	alhamed	alhame	VERB
cana-5163	81	3	et	et	PROPN
cana-5163	81	4	al	al	PROPN
cana-5163	81	5	.	.	PROPN
cana-5163	81	6	,	,	PUNCT
cana-5163	81	7	2024	2024	NUM
cana-5163	81	8	;	;	PUNCT
cana-5163	81	9	ramirez	ramirez	NOUN
cana-5163	81	10	-	-	PUNCT
cana-5163	81	11	cifuentes	cifuente	VERB
cana-5163	81	12	et	et	PROPN
cana-5163	81	13	al	al	PROPN
cana-5163	81	14	.	.	PROPN
cana-5163	81	15	,	,	PUNCT
cana-5163	81	16	2021	2021	NUM
cana-5163	81	17	;	;	PUNCT
cana-5163	81	18	zhang	zhang	PROPN
cana-5163	81	19	,	,	PUNCT
cana-5163	81	20	yang	yang	PROPN
cana-5163	81	21	et	et	PROPN
cana-5163	81	22	al	al	PROPN
cana-5163	81	23	.	.	PROPN
cana-5163	81	24	,	,	PUNCT
cana-5163	81	25	2023	2023	NUM
cana-5163	81	26	)	)	PUNCT
cana-5163	81	27	.	.	PUNCT
cana-5163	82	1	multimodal	multimodal	NOUN
cana-5163	82	2	techniques	technique	NOUN
cana-5163	82	3	and	and	CCONJ
cana-5163	82	4	explainable	explainable	ADJ
cana-5163	82	5	ensemble	ensemble	ADJ
cana-5163	82	6	models	model	NOUN
cana-5163	82	7	are	be	AUX
cana-5163	82	8	emerging	emerge	VERB
cana-5163	82	9	research	research	NOUN
cana-5163	82	10	fields	field	NOUN
cana-5163	82	11	for	for	ADP
cana-5163	82	12	detecting	detect	VERB
cana-5163	82	13	depression	depression	NOUN
cana-5163	82	14	in	in	ADP
cana-5163	82	15	social	social	ADJ
cana-5163	82	16	media	medium	NOUN
cana-5163	82	17	text	text	NOUN
cana-5163	82	18	.	.	PUNCT
cana-5163	83	1	the	the	DET
cana-5163	83	2	progressive	progressive	ADJ
cana-5163	83	3	growth	growth	NOUN
cana-5163	83	4	of	of	ADP
cana-5163	83	5	techniques	technique	NOUN
cana-5163	83	6	is	be	AUX
cana-5163	83	7	illustrated	illustrate	VERB
cana-5163	83	8	in	in	ADP
cana-5163	83	9	figure	figure	NOUN
cana-5163	83	10	3	3	NUM
cana-5163	83	11	.	.	PUNCT
cana-5163	83	12	figure	figure	NOUN
cana-5163	83	13	3	3	NUM
cana-5163	83	14	.	.	PUNCT
cana-5163	83	15	evolution	evolution	NOUN
cana-5163	83	16	of	of	ADP
cana-5163	83	17	techniques	technique	NOUN
cana-5163	83	18	for	for	ADP
cana-5163	83	19	depression	depression	NOUN
cana-5163	83	20	detections	detection	NOUN
cana-5163	83	21	.	.	PUNCT
cana-5163	84	1	communications	communication	NOUN
cana-5163	84	2	on	on	ADP
cana-5163	84	3	applied	apply	VERB
cana-5163	84	4	nonlinear	nonlinear	ADJ
cana-5163	84	5	analysis	analysis	NOUN
cana-5163	84	6	issn	issn	NOUN
cana-5163	84	7	:	:	PUNCT
cana-5163	84	8	1074	1074	NUM
cana-5163	84	9	-	-	PUNCT
cana-5163	84	10	133x	133x	NUM
cana-5163	84	11	vol	vol	NOUN
cana-5163	84	12	32	32	NUM
cana-5163	84	13	no	no	NOUN
cana-5163	84	14	.	.	PUNCT
cana-5163	85	1	icmasd	icmasd	NOUN
cana-5163	85	2	(	(	PUNCT
cana-5163	85	3	2025	2025	NUM
cana-5163	85	4	)	)	PUNCT
cana-5163	85	5	1394	1394	NUM
cana-5163	85	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	85	7	4	4	X
cana-5163	85	8	.	.	X
cana-5163	85	9	review	review	NOUN
cana-5163	85	10	of	of	ADP
cana-5163	85	11	deep	deep	ADJ
cana-5163	85	12	learning	learning	NOUN
cana-5163	85	13	techniques	technique	NOUN
cana-5163	85	14	and	and	CCONJ
cana-5163	85	15	nlp	nlp	NOUN
cana-5163	85	16	this	this	DET
cana-5163	85	17	section	section	NOUN
cana-5163	85	18	provides	provide	VERB
cana-5163	85	19	an	an	DET
cana-5163	85	20	overview	overview	NOUN
cana-5163	85	21	of	of	ADP
cana-5163	85	22	the	the	DET
cana-5163	85	23	deep	deep	ADJ
cana-5163	85	24	learning	learning	NOUN
cana-5163	85	25	techniques	technique	NOUN
cana-5163	85	26	and	and	CCONJ
cana-5163	85	27	associated	associate	VERB
cana-5163	85	28	transformation	transformation	NOUN
cana-5163	85	29	methods	method	NOUN
cana-5163	85	30	employed	employ	VERB
cana-5163	85	31	for	for	ADP
cana-5163	85	32	detecting	detect	VERB
cana-5163	85	33	depression	depression	NOUN
cana-5163	85	34	from	from	ADP
cana-5163	85	35	social	social	ADJ
cana-5163	85	36	media	medium	NOUN
cana-5163	85	37	.	.	PUNCT
cana-5163	86	1	natural	natural	ADJ
cana-5163	86	2	language	language	NOUN
cana-5163	86	3	processing	processing	NOUN
cana-5163	86	4	(	(	PUNCT
cana-5163	86	5	nlp	nlp	NOUN
cana-5163	86	6	)	)	PUNCT
cana-5163	86	7	techniques	technique	NOUN
cana-5163	86	8	have	have	AUX
cana-5163	86	9	evolved	evolve	VERB
cana-5163	86	10	alongside	alongside	ADP
cana-5163	86	11	deep	deep	ADJ
cana-5163	86	12	learning	learning	NOUN
cana-5163	86	13	models	model	NOUN
cana-5163	86	14	to	to	PART
cana-5163	86	15	uncover	uncover	VERB
cana-5163	86	16	hidden	hide	VERB
cana-5163	86	17	patterns	pattern	NOUN
cana-5163	86	18	and	and	CCONJ
cana-5163	86	19	extract	extract	VERB
cana-5163	86	20	linguistic	linguistic	ADJ
cana-5163	86	21	features	feature	NOUN
cana-5163	86	22	,	,	PUNCT
cana-5163	86	23	enabling	enable	VERB
cana-5163	86	24	the	the	DET
cana-5163	86	25	identification	identification	NOUN
cana-5163	86	26	of	of	ADP
cana-5163	86	27	depressive	depressive	ADJ
cana-5163	86	28	signs	sign	NOUN
cana-5163	86	29	within	within	ADP
cana-5163	86	30	textual	textual	ADJ
cana-5163	86	31	data	datum	NOUN
cana-5163	86	32	on	on	ADP
cana-5163	86	33	social	social	ADJ
cana-5163	86	34	media	medium	NOUN
cana-5163	86	35	platforms	platform	NOUN
cana-5163	86	36	.	.	PUNCT
cana-5163	87	1	the	the	DET
cana-5163	87	2	objective	objective	NOUN
cana-5163	87	3	of	of	ADP
cana-5163	87	4	this	this	DET
cana-5163	87	5	review	review	NOUN
cana-5163	87	6	is	be	AUX
cana-5163	87	7	to	to	PART
cana-5163	87	8	gain	gain	VERB
cana-5163	87	9	comprehensive	comprehensive	ADJ
cana-5163	87	10	insights	insight	NOUN
cana-5163	87	11	into	into	ADP
cana-5163	87	12	the	the	DET
cana-5163	87	13	current	current	ADJ
cana-5163	87	14	machine	machine	NOUN
cana-5163	87	15	learning	learning	NOUN
cana-5163	87	16	(	(	PUNCT
cana-5163	87	17	ml	ml	NOUN
cana-5163	87	18	)	)	PUNCT
cana-5163	87	19	,	,	PUNCT
cana-5163	87	20	deep	deep	ADJ
cana-5163	87	21	learning	learning	NOUN
cana-5163	87	22	(	(	PUNCT
cana-5163	87	23	dl	dl	NOUN
cana-5163	87	24	)	)	PUNCT
cana-5163	87	25	,	,	PUNCT
cana-5163	87	26	and	and	CCONJ
cana-5163	87	27	nlp	nlp	NOUN
cana-5163	87	28	techniques	technique	NOUN
cana-5163	87	29	used	use	VERB
cana-5163	87	30	for	for	ADP
cana-5163	87	31	depression	depression	NOUN
cana-5163	87	32	detection	detection	NOUN
cana-5163	87	33	.	.	PUNCT
cana-5163	88	1	the	the	DET
cana-5163	88	2	studies	study	NOUN
cana-5163	88	3	are	be	AUX
cana-5163	88	4	categorized	categorize	VERB
cana-5163	88	5	into	into	ADP
cana-5163	88	6	three	three	NUM
cana-5163	88	7	subsections	subsection	NOUN
cana-5163	88	8	:	:	PUNCT
cana-5163	88	9	first	first	ADV
cana-5163	88	10	,	,	PUNCT
cana-5163	88	11	we	we	PRON
cana-5163	88	12	discuss	discuss	VERB
cana-5163	88	13	the	the	DET
cana-5163	88	14	foundational	foundational	ADJ
cana-5163	88	15	studies	study	NOUN
cana-5163	88	16	focused	focus	VERB
cana-5163	88	17	on	on	ADP
cana-5163	88	18	depression	depression	NOUN
cana-5163	88	19	detection	detection	NOUN
cana-5163	88	20	;	;	PUNCT
cana-5163	88	21	second	second	X
cana-5163	88	22	,	,	PUNCT
cana-5163	88	23	we	we	PRON
cana-5163	88	24	present	present	VERB
cana-5163	88	25	a	a	DET
cana-5163	88	26	selection	selection	NOUN
cana-5163	88	27	of	of	ADP
cana-5163	88	28	survey	survey	NOUN
cana-5163	88	29	studies	study	NOUN
cana-5163	88	30	;	;	PUNCT
cana-5163	88	31	and	and	CCONJ
cana-5163	88	32	finally	finally	ADV
cana-5163	88	33	,	,	PUNCT
cana-5163	88	34	we	we	PRON
cana-5163	88	35	include	include	VERB
cana-5163	88	36	a	a	DET
cana-5163	88	37	few	few	ADJ
cana-5163	88	38	studies	study	NOUN
cana-5163	88	39	beyond	beyond	ADP
cana-5163	88	40	depression	depression	NOUN
cana-5163	88	41	to	to	PART
cana-5163	88	42	provide	provide	VERB
cana-5163	88	43	a	a	DET
cana-5163	88	44	broader	broad	ADJ
cana-5163	88	45	understanding	understanding	NOUN
cana-5163	88	46	of	of	ADP
cana-5163	88	47	the	the	DET
cana-5163	88	48	topic	topic	NOUN
cana-5163	88	49	.	.	PUNCT
cana-5163	89	1	tables	table	NOUN
cana-5163	89	2	2	2	NUM
cana-5163	89	3	,	,	PUNCT
cana-5163	89	4	3	3	NUM
cana-5163	89	5	,	,	PUNCT
cana-5163	89	6	and	and	CCONJ
cana-5163	89	7	4	4	NUM
cana-5163	89	8	offer	offer	VERB
cana-5163	89	9	a	a	DET
cana-5163	89	10	summarized	summarize	VERB
cana-5163	89	11	view	view	NOUN
cana-5163	89	12	of	of	ADP
cana-5163	89	13	the	the	DET
cana-5163	89	14	literature	literature	NOUN
cana-5163	89	15	review	review	NOUN
cana-5163	89	16	conducted	conduct	VERB
cana-5163	89	17	within	within	ADP
cana-5163	89	18	each	each	PRON
cana-5163	89	19	of	of	ADP
cana-5163	89	20	these	these	DET
cana-5163	89	21	three	three	NUM
cana-5163	89	22	subsections	subsection	NOUN
cana-5163	89	23	.	.	PUNCT
cana-5163	90	1	4.1	4.1	NUM
cana-5163	90	2	review	review	NOUN
cana-5163	90	3	of	of	ADP
cana-5163	90	4	primary	primary	ADJ
cana-5163	90	5	studies	study	NOUN
cana-5163	90	6	for	for	ADP
cana-5163	90	7	depression	depression	NOUN
cana-5163	90	8	detection	detection	NOUN
cana-5163	90	9	this	this	DET
cana-5163	90	10	study	study	NOUN
cana-5163	90	11	employed	employ	VERB
cana-5163	90	12	a	a	DET
cana-5163	90	13	combination	combination	NOUN
cana-5163	90	14	of	of	ADP
cana-5163	90	15	convolutional	convolutional	ADJ
cana-5163	90	16	neural	neural	ADJ
cana-5163	90	17	networks	network	NOUN
cana-5163	90	18	(	(	PUNCT
cana-5163	90	19	cnn	cnn	PROPN
cana-5163	90	20	)	)	PUNCT
cana-5163	90	21	and	and	CCONJ
cana-5163	90	22	long	long	ADJ
cana-5163	90	23	short	short	ADJ
cana-5163	90	24	-	-	PUNCT
cana-5163	90	25	term	term	NOUN
cana-5163	90	26	memory	memory	NOUN
cana-5163	90	27	(	(	PUNCT
cana-5163	90	28	lstm	lstm	NOUN
cana-5163	90	29	)	)	PUNCT
cana-5163	90	30	networks	network	NOUN
cana-5163	90	31	for	for	ADP
cana-5163	90	32	the	the	DET
cana-5163	90	33	early	early	ADJ
cana-5163	90	34	detection	detection	NOUN
cana-5163	90	35	of	of	ADP
cana-5163	90	36	suicide	suicide	NOUN
cana-5163	90	37	risk	risk	NOUN
cana-5163	90	38	based	base	VERB
cana-5163	90	39	on	on	ADP
cana-5163	90	40	reddit	reddit	NOUN
cana-5163	90	41	users	user	NOUN
cana-5163	90	42	’	’	PART
cana-5163	90	43	posts	post	NOUN
cana-5163	90	44	.	.	PUNCT
cana-5163	91	1	tadesse	tadesse	INTJ
cana-5163	91	2	et	et	PROPN
cana-5163	91	3	al	al	PROPN
cana-5163	91	4	.	.	PROPN
cana-5163	92	1	(	(	PUNCT
cana-5163	92	2	2019	2019	NUM
cana-5163	92	3	)	)	PUNCT
cana-5163	92	4	also	also	ADV
cana-5163	92	5	compared	compare	VERB
cana-5163	92	6	the	the	DET
cana-5163	92	7	proposed	propose	VERB
cana-5163	92	8	model	model	NOUN
cana-5163	92	9	with	with	ADP
cana-5163	92	10	other	other	ADJ
cana-5163	92	11	machine	machine	NOUN
cana-5163	92	12	learning	learn	VERB
cana-5163	92	13	classifiers	classifier	NOUN
cana-5163	92	14	integrated	integrate	VERB
cana-5163	92	15	with	with	ADP
cana-5163	92	16	nlp	nlp	NOUN
cana-5163	92	17	techniques	technique	NOUN
cana-5163	92	18	for	for	ADP
cana-5163	92	19	detecting	detect	VERB
cana-5163	92	20	suicidal	suicidal	ADJ
cana-5163	92	21	ideation	ideation	NOUN
cana-5163	92	22	.	.	PUNCT
cana-5163	93	1	the	the	DET
cana-5163	93	2	dataset	dataset	NOUN
cana-5163	93	3	from	from	ADP
cana-5163	93	4	reddit	reddit	NOUN
cana-5163	93	5	consisted	consist	VERB
cana-5163	93	6	of	of	ADP
cana-5163	93	7	both	both	PRON
cana-5163	93	8	suiciderelated	suiciderelate	VERB
cana-5163	93	9	and	and	CCONJ
cana-5163	93	10	non	non	ADJ
cana-5163	93	11	-	-	ADJ
cana-5163	93	12	suicidal	suicidal	ADJ
cana-5163	93	13	posts	post	NOUN
cana-5163	93	14	.	.	PUNCT
cana-5163	94	1	statistical	statistical	ADJ
cana-5163	94	2	features	feature	NOUN
cana-5163	94	3	such	such	ADJ
cana-5163	94	4	as	as	ADP
cana-5163	94	5	tf	tf	PROPN
cana-5163	94	6	-	-	PUNCT
cana-5163	94	7	idf	idf	NOUN
cana-5163	94	8	and	and	CCONJ
cana-5163	94	9	bag	bag	NOUN
cana-5163	94	10	-	-	PUNCT
cana-5163	94	11	of	of	ADP
cana-5163	94	12	-	-	PUNCT
cana-5163	94	13	words	word	NOUN
cana-5163	94	14	(	(	PUNCT
cana-5163	94	15	bow	bow	NOUN
cana-5163	94	16	)	)	PUNCT
cana-5163	94	17	were	be	AUX
cana-5163	94	18	input	input	VERB
cana-5163	94	19	into	into	ADP
cana-5163	94	20	the	the	DET
cana-5163	94	21	machine	machine	NOUN
cana-5163	94	22	learning	learn	VERB
cana-5163	94	23	classifiers	classifier	NOUN
cana-5163	94	24	.	.	PUNCT
cana-5163	95	1	however	however	ADV
cana-5163	95	2	,	,	PUNCT
cana-5163	95	3	the	the	DET
cana-5163	95	4	proposed	propose	VERB
cana-5163	95	5	model	model	NOUN
cana-5163	95	6	,	,	PUNCT
cana-5163	95	7	utilizing	utilize	VERB
cana-5163	95	8	word2vec	word2vec	X
cana-5163	95	9	embeddings	embedding	NOUN
cana-5163	95	10	,	,	PUNCT
cana-5163	95	11	outperformed	outperform	VERB
cana-5163	95	12	the	the	DET
cana-5163	95	13	others	other	NOUN
cana-5163	95	14	,	,	PUNCT
cana-5163	95	15	achieving	achieve	VERB
cana-5163	95	16	an	an	DET
cana-5163	95	17	accuracy	accuracy	NOUN
cana-5163	95	18	of	of	ADP
cana-5163	95	19	93.8	93.8	NUM
cana-5163	95	20	%	%	NOUN
cana-5163	95	21	,	,	PUNCT
cana-5163	95	22	an	an	DET
cana-5163	95	23	f1	f1	NOUN
cana-5163	95	24	-	-	PUNCT
cana-5163	95	25	score	score	NOUN
cana-5163	95	26	of	of	ADP
cana-5163	95	27	93.4	93.4	NUM
cana-5163	95	28	%	%	NOUN
cana-5163	95	29	,	,	PUNCT
cana-5163	95	30	recall	recall	NOUN
cana-5163	95	31	of	of	ADP
cana-5163	95	32	94.1	94.1	NUM
cana-5163	95	33	%	%	NOUN
cana-5163	95	34	,	,	PUNCT
cana-5163	95	35	and	and	CCONJ
cana-5163	95	36	precision	precision	NOUN
cana-5163	95	37	of	of	ADP
cana-5163	95	38	93.2%(michael	93.2%(michael	NUM
cana-5163	95	39	mesfin	mesfin	NOUN
cana-5163	95	40	tadesse	tadesse	NOUN
cana-5163	95	41	,	,	PUNCT
cana-5163	95	42	lin	lin	PROPN
cana-5163	95	43	,	,	PUNCT
cana-5163	95	44	xu	xu	PROPN
cana-5163	95	45	,	,	PUNCT
cana-5163	95	46	&	&	CCONJ
cana-5163	95	47	yang	yang	PROPN
cana-5163	95	48	,	,	PUNCT
cana-5163	95	49	2019	2019	NUM
cana-5163	95	50	)	)	PUNCT
cana-5163	95	51	.	.	PUNCT
cana-5163	96	1	aswathy	aswathy	ADJ
cana-5163	96	2	et	et	PROPN
cana-5163	96	3	al	al	PROPN
cana-5163	96	4	.	.	PROPN
cana-5163	97	1	(	(	PUNCT
cana-5163	97	2	2019	2019	NUM
cana-5163	97	3	)	)	PUNCT
cana-5163	97	4	proposed	propose	VERB
cana-5163	97	5	a	a	DET
cana-5163	97	6	cnn+lstm	cnn+lstm	NOUN
cana-5163	97	7	model	model	NOUN
cana-5163	97	8	for	for	ADP
cana-5163	97	9	depression	depression	NOUN
cana-5163	97	10	detection	detection	NOUN
cana-5163	97	11	using	use	VERB
cana-5163	97	12	twitter	twitter	NOUN
cana-5163	97	13	sentiment	sentiment	NOUN
cana-5163	97	14	,	,	PUNCT
cana-5163	97	15	leveraging	leverage	VERB
cana-5163	97	16	a	a	DET
cana-5163	97	17	public	public	ADJ
cana-5163	97	18	dataset	dataset	NOUN
cana-5163	97	19	containing	contain	VERB
cana-5163	97	20	both	both	CCONJ
cana-5163	97	21	depressive	depressive	ADJ
cana-5163	97	22	and	and	CCONJ
cana-5163	97	23	non	non	ADJ
cana-5163	97	24	-	-	ADJ
cana-5163	97	25	depressive	depressive	ADJ
cana-5163	97	26	tweets	tweet	NOUN
cana-5163	97	27	.	.	PUNCT
cana-5163	98	1	they	they	PRON
cana-5163	98	2	also	also	ADV
cana-5163	98	3	employed	employ	VERB
cana-5163	98	4	support	support	NOUN
cana-5163	98	5	vector	vector	NOUN
cana-5163	98	6	machine	machine	NOUN
cana-5163	98	7	(	(	PUNCT
cana-5163	98	8	svm	svm	PROPN
cana-5163	98	9	)	)	PUNCT
cana-5163	98	10	for	for	ADP
cana-5163	98	11	a	a	DET
cana-5163	98	12	comparative	comparative	ADJ
cana-5163	98	13	analysis	analysis	NOUN
cana-5163	98	14	of	of	ADP
cana-5163	98	15	the	the	DET
cana-5163	98	16	results	result	NOUN
cana-5163	98	17	.	.	PUNCT
cana-5163	99	1	the	the	DET
cana-5163	99	2	proposed	propose	VERB
cana-5163	99	3	model	model	NOUN
cana-5163	99	4	outperformed	outperform	VERB
cana-5163	99	5	the	the	DET
cana-5163	99	6	svm	svm	PROPN
cana-5163	99	7	,	,	PUNCT
cana-5163	99	8	achieving	achieve	VERB
cana-5163	99	9	higher	high	ADJ
cana-5163	99	10	f1	f1	NOUN
cana-5163	99	11	-	-	PUNCT
cana-5163	99	12	score	score	NOUN
cana-5163	99	13	,	,	PUNCT
cana-5163	99	14	recall	recall	NOUN
cana-5163	99	15	,	,	PUNCT
cana-5163	99	16	and	and	CCONJ
cana-5163	99	17	precision	precision	NOUN
cana-5163	99	18	,	,	PUNCT
cana-5163	99	19	with	with	ADP
cana-5163	99	20	values	value	NOUN
cana-5163	99	21	of	of	ADP
cana-5163	99	22	97	97	NUM
cana-5163	99	23	%	%	NOUN
cana-5163	99	24	,	,	PUNCT
cana-5163	99	25	96	96	NUM
cana-5163	99	26	%	%	NOUN
cana-5163	99	27	,	,	PUNCT
cana-5163	99	28	and	and	CCONJ
cana-5163	99	29	97	97	NUM
cana-5163	99	30	%	%	NOUN
cana-5163	99	31	,	,	PUNCT
cana-5163	99	32	respectively	respectively	ADV
cana-5163	99	33	(	(	PUNCT
cana-5163	99	34	k	k	PROPN
cana-5163	99	35	s	s	PROPN
cana-5163	99	36	,	,	PUNCT
cana-5163	99	37	p	p	NOUN
cana-5163	99	38	c	c	PROPN
cana-5163	99	39	,	,	PUNCT
cana-5163	99	40	&	&	CCONJ
cana-5163	99	41	murali	murali	PROPN
cana-5163	99	42	,	,	PUNCT
cana-5163	99	43	2019	2019	NUM
cana-5163	99	44	)	)	PUNCT
cana-5163	99	45	.	.	PUNCT
cana-5163	100	1	a	a	DET
cana-5163	100	2	hybrid	hybrid	ADJ
cana-5163	100	3	model	model	NOUN
cana-5163	100	4	utilizing	utilize	VERB
cana-5163	100	5	the	the	DET
cana-5163	100	6	deep	deep	ADJ
cana-5163	100	7	learning	learning	NOUN
cana-5163	100	8	classifier	classifier	NOUN
cana-5163	100	9	bilstm	bilstm	NOUN
cana-5163	100	10	with	with	ADP
cana-5163	100	11	various	various	ADJ
cana-5163	100	12	word	word	NOUN
cana-5163	100	13	embedding	embed	VERB
cana-5163	100	14	features	feature	NOUN
cana-5163	100	15	was	be	AUX
cana-5163	100	16	proposed	propose	VERB
cana-5163	100	17	by	by	ADP
cana-5163	100	18	shah	shah	PROPN
cana-5163	100	19	et	et	PROPN
cana-5163	100	20	al	al	PROPN
cana-5163	100	21	.	.	PROPN
cana-5163	101	1	(	(	PUNCT
cana-5163	101	2	2020	2020	NUM
cana-5163	101	3	)	)	PUNCT
cana-5163	101	4	for	for	ADP
cana-5163	101	5	early	early	ADJ
cana-5163	101	6	depression	depression	NOUN
cana-5163	101	7	detection	detection	NOUN
cana-5163	101	8	.	.	PUNCT
cana-5163	102	1	this	this	DET
cana-5163	102	2	model	model	NOUN
cana-5163	102	3	was	be	AUX
cana-5163	102	4	tested	test	VERB
cana-5163	102	5	on	on	ADP
cana-5163	102	6	the	the	DET
cana-5163	102	7	public	public	ADJ
cana-5163	102	8	clef	clef	NOUN
cana-5163	102	9	erisk	erisk	PROPN
cana-5163	102	10	2017	2017	NUM
cana-5163	102	11	dataset	dataset	NOUN
cana-5163	102	12	and	and	CCONJ
cana-5163	102	13	demonstrated	demonstrate	VERB
cana-5163	102	14	that	that	SCONJ
cana-5163	102	15	the	the	DET
cana-5163	102	16	word2vec+meta	word2vec+meta	PROPN
cana-5163	102	17	feature	feature	NOUN
cana-5163	102	18	outperformed	outperform	VERB
cana-5163	102	19	other	other	ADJ
cana-5163	102	20	word	word	NOUN
cana-5163	102	21	embedding	embed	VERB
cana-5163	102	22	techniques	technique	NOUN
cana-5163	102	23	proposed	propose	VERB
cana-5163	102	24	in	in	ADP
cana-5163	102	25	the	the	DET
cana-5163	102	26	study	study	NOUN
cana-5163	102	27	(	(	PUNCT
cana-5163	102	28	shah	shah	PROPN
cana-5163	102	29	et	et	PROPN
cana-5163	102	30	al	al	PROPN
cana-5163	102	31	.	.	PROPN
cana-5163	102	32	,	,	PUNCT
cana-5163	102	33	2020	2020	NUM
cana-5163	102	34	)	)	PUNCT
cana-5163	102	35	.	.	PUNCT
cana-5163	103	1	a	a	DET
cana-5163	103	2	study	study	NOUN
cana-5163	103	3	conducted	conduct	VERB
cana-5163	103	4	in	in	ADP
cana-5163	103	5	2020	2020	NUM
cana-5163	103	6	proposed	propose	VERB
cana-5163	103	7	an	an	DET
cana-5163	103	8	approach	approach	NOUN
cana-5163	103	9	for	for	ADP
cana-5163	103	10	depression	depression	NOUN
cana-5163	103	11	detection	detection	NOUN
cana-5163	103	12	on	on	ADP
cana-5163	103	13	thai	thai	ADJ
cana-5163	103	14	social	social	ADJ
cana-5163	103	15	media	medium	NOUN
cana-5163	103	16	,	,	PUNCT
cana-5163	103	17	where	where	SCONJ
cana-5163	103	18	kumnunt	kumnunt	PROPN
cana-5163	103	19	et	et	PROPN
cana-5163	103	20	al	al	PROPN
cana-5163	103	21	.	.	PROPN
cana-5163	104	1	(	(	PUNCT
cana-5163	104	2	2020	2020	NUM
cana-5163	104	3	)	)	PUNCT
cana-5163	104	4	employed	employ	VERB
cana-5163	104	5	a	a	DET
cana-5163	104	6	cnn	cnn	PROPN
cana-5163	104	7	-	-	PUNCT
cana-5163	104	8	lstm	lstm	ADJ
cana-5163	104	9	classifier	classifier	NOUN
cana-5163	104	10	with	with	ADP
cana-5163	104	11	various	various	ADJ
cana-5163	104	12	activation	activation	NOUN
cana-5163	104	13	functions	function	NOUN
cana-5163	104	14	and	and	CCONJ
cana-5163	104	15	word2vec	word2vec	X
cana-5163	104	16	embeddings	embedding	NOUN
cana-5163	104	17	.	.	PUNCT
cana-5163	105	1	they	they	PRON
cana-5163	105	2	also	also	ADV
cana-5163	105	3	compared	compare	VERB
cana-5163	105	4	the	the	DET
cana-5163	105	5	performance	performance	NOUN
cana-5163	105	6	of	of	ADP
cana-5163	105	7	svm	svm	ADJ
cana-5163	105	8	and	and	CCONJ
cana-5163	105	9	logistic	logistic	ADJ
cana-5163	105	10	regression	regression	NOUN
cana-5163	105	11	(	(	PUNCT
cana-5163	105	12	lr	lr	NOUN
cana-5163	105	13	)	)	PUNCT
cana-5163	105	14	using	use	VERB
cana-5163	105	15	tf	tf	PROPN
cana-5163	105	16	-	-	PUNCT
cana-5163	105	17	idf	idf	PROPN
cana-5163	105	18	on	on	ADP
cana-5163	105	19	a	a	DET
cana-5163	105	20	dataset	dataset	NOUN
cana-5163	105	21	created	create	VERB
cana-5163	105	22	from	from	ADP
cana-5163	105	23	social	social	ADJ
cana-5163	105	24	media	medium	NOUN
cana-5163	105	25	messages	message	NOUN
cana-5163	105	26	addressing	address	VERB
cana-5163	105	27	depression	depression	NOUN
cana-5163	105	28	-	-	PUNCT
cana-5163	105	29	related	relate	VERB
cana-5163	105	30	issues	issue	NOUN
cana-5163	105	31	.	.	PUNCT
cana-5163	106	1	the	the	DET
cana-5163	106	2	three	three	NUM
cana-5163	106	3	-	-	PUNCT
cana-5163	106	4	branch	branch	NOUN
cana-5163	106	5	cnn	cnn	PROPN
cana-5163	106	6	-	-	PUNCT
cana-5163	106	7	lstm	lstm	PROPN
cana-5163	106	8	model	model	NOUN
cana-5163	106	9	with	with	ADP
cana-5163	106	10	the	the	DET
cana-5163	106	11	relu	relu	NOUN
cana-5163	106	12	activation	activation	NOUN
cana-5163	106	13	function	function	NOUN
cana-5163	106	14	outperformed	outperform	VERB
cana-5163	106	15	the	the	DET
cana-5163	106	16	state	state	NOUN
cana-5163	106	17	-	-	PUNCT
cana-5163	106	18	ofthe	ofthe	NOUN
cana-5163	106	19	-	-	PUNCT
cana-5163	106	20	art	art	NOUN
cana-5163	106	21	models	model	NOUN
cana-5163	106	22	(	(	PUNCT
cana-5163	106	23	kumnunt	kumnunt	PROPN
cana-5163	106	24	&	&	CCONJ
cana-5163	106	25	sornil	sornil	PROPN
cana-5163	106	26	,	,	PUNCT
cana-5163	106	27	2020	2020	NUM
cana-5163	106	28	)	)	PUNCT
cana-5163	106	29	.	.	PUNCT
cana-5163	107	1	wongkoblap	wongkoblap	VERB
cana-5163	107	2	et	et	PROPN
cana-5163	107	3	al	al	PROPN
cana-5163	107	4	.	.	PROPN
cana-5163	108	1	(	(	PUNCT
cana-5163	108	2	2021	2021	NUM
cana-5163	108	3	)	)	PUNCT
cana-5163	108	4	proposed	propose	VERB
cana-5163	108	5	two	two	NUM
cana-5163	108	6	novel	novel	ADJ
cana-5163	108	7	predictive	predictive	ADJ
cana-5163	108	8	models	model	NOUN
cana-5163	108	9	for	for	ADP
cana-5163	108	10	depression	depression	NOUN
cana-5163	108	11	detection	detection	NOUN
cana-5163	108	12	from	from	ADP
cana-5163	108	13	twitter	twitter	NOUN
cana-5163	108	14	,	,	PUNCT
cana-5163	108	15	designed	design	VERB
cana-5163	108	16	to	to	PART
cana-5163	108	17	address	address	VERB
cana-5163	108	18	the	the	DET
cana-5163	108	19	anaphora	anaphora	ADJ
cana-5163	108	20	resolution	resolution	NOUN
cana-5163	108	21	problem	problem	NOUN
cana-5163	108	22	and	and	CCONJ
cana-5163	108	23	emphasize	emphasize	VERB
cana-5163	108	24	anaphoric	anaphoric	ADJ
cana-5163	108	25	interpretations	interpretation	NOUN
cana-5163	108	26	.	.	PUNCT
cana-5163	109	1	anaphora	anaphora	PROPN
cana-5163	109	2	resolution	resolution	NOUN
cana-5163	109	3	refers	refer	VERB
cana-5163	109	4	to	to	ADP
cana-5163	109	5	the	the	DET
cana-5163	109	6	process	process	NOUN
cana-5163	109	7	of	of	ADP
cana-5163	109	8	determining	determine	VERB
cana-5163	109	9	the	the	DET
cana-5163	109	10	person	person	NOUN
cana-5163	109	11	previously	previously	ADV
cana-5163	109	12	mentioned	mention	VERB
cana-5163	109	13	in	in	ADP
cana-5163	109	14	social	social	ADJ
cana-5163	109	15	media	medium	NOUN
cana-5163	109	16	text	text	NOUN
cana-5163	109	17	messages	message	NOUN
cana-5163	109	18	.	.	PUNCT
cana-5163	110	1	initially	initially	ADV
cana-5163	110	2	,	,	PUNCT
cana-5163	110	3	they	they	PRON
cana-5163	110	4	proposed	propose	VERB
cana-5163	110	5	the	the	DET
cana-5163	110	6	mil	mil	PROPN
cana-5163	110	7	-	-	PUNCT
cana-5163	110	8	socnet	socnet	NOUN
cana-5163	110	9	model	model	NOUN
cana-5163	110	10	and	and	CCONJ
cana-5163	110	11	later	later	ADV
cana-5163	110	12	introduced	introduce	VERB
cana-5163	110	13	an	an	DET
cana-5163	110	14	extended	extended	ADJ
cana-5163	110	15	communications	communication	NOUN
cana-5163	110	16	on	on	ADP
cana-5163	110	17	applied	apply	VERB
cana-5163	110	18	nonlinear	nonlinear	ADJ
cana-5163	110	19	analysis	analysis	NOUN
cana-5163	110	20	issn	issn	NOUN
cana-5163	110	21	:	:	PUNCT
cana-5163	110	22	1074	1074	NUM
cana-5163	110	23	-	-	PUNCT
cana-5163	110	24	133x	133x	NUM
cana-5163	110	25	vol	vol	NOUN
cana-5163	110	26	32	32	NUM
cana-5163	110	27	no	no	NOUN
cana-5163	110	28	.	.	PUNCT
cana-5163	111	1	icmasd	icmasd	NOUN
cana-5163	111	2	(	(	PUNCT
cana-5163	111	3	2025	2025	NUM
cana-5163	111	4	)	)	PUNCT
cana-5163	111	5	1395	1395	NUM
cana-5163	111	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	111	7	version	version	NOUN
cana-5163	111	8	called	call	VERB
cana-5163	111	9	mila	mila	PROPN
cana-5163	111	10	-	-	PUNCT
cana-5163	111	11	socnet	socnet	NOUN
cana-5163	111	12	,	,	PUNCT
cana-5163	111	13	which	which	PRON
cana-5163	111	14	addresses	address	VERB
cana-5163	111	15	the	the	DET
cana-5163	111	16	anaphora	anaphora	ADJ
cana-5163	111	17	resolution	resolution	NOUN
cana-5163	111	18	problem	problem	NOUN
cana-5163	111	19	.	.	PUNCT
cana-5163	112	1	liwc	liwc	PROPN
cana-5163	112	2	was	be	AUX
cana-5163	112	3	used	use	VERB
cana-5163	112	4	for	for	ADP
cana-5163	112	5	information	information	NOUN
cana-5163	112	6	interpretation	interpretation	NOUN
cana-5163	112	7	.	.	PUNCT
cana-5163	113	1	mila	mila	PROPN
cana-5163	113	2	-	-	PUNCT
cana-5163	113	3	socnet	socnet	PROPN
cana-5163	113	4	outperformed	outperform	VERB
cana-5163	113	5	other	other	ADJ
cana-5163	113	6	deep	deep	ADJ
cana-5163	113	7	learning	learning	NOUN
cana-5163	113	8	models	model	NOUN
cana-5163	113	9	in	in	ADP
cana-5163	113	10	performance	performance	NOUN
cana-5163	113	11	(	(	PUNCT
cana-5163	113	12	wongkoblap	wongkoblap	ADJ
cana-5163	113	13	,	,	PUNCT
cana-5163	113	14	vadillo	vadillo	PROPN
cana-5163	113	15	,	,	PUNCT
cana-5163	113	16	&	&	CCONJ
cana-5163	113	17	curcin	curcin	PROPN
cana-5163	113	18	,	,	PUNCT
cana-5163	113	19	2021	2021	NUM
cana-5163	113	20	)	)	PUNCT
cana-5163	113	21	.	.	PUNCT
cana-5163	114	1	mendes	mende	NOUN
cana-5163	114	2	et	et	PROPN
cana-5163	114	3	al	al	PROPN
cana-5163	114	4	.	.	PROPN
cana-5163	115	1	(	(	PUNCT
cana-5163	115	2	2022	2022	NUM
cana-5163	115	3	)	)	PUNCT
cana-5163	115	4	conducted	conduct	VERB
cana-5163	115	5	a	a	DET
cana-5163	115	6	study	study	NOUN
cana-5163	115	7	to	to	PART
cana-5163	115	8	detect	detect	VERB
cana-5163	115	9	21	21	NUM
cana-5163	115	10	signs	sign	NOUN
cana-5163	115	11	of	of	ADP
cana-5163	115	12	depression	depression	NOUN
cana-5163	115	13	in	in	ADP
cana-5163	115	14	brazilian	brazilian	ADJ
cana-5163	115	15	undergraduate	undergraduate	NOUN
cana-5163	115	16	students	student	NOUN
cana-5163	115	17	by	by	ADP
cana-5163	115	18	collecting	collect	VERB
cana-5163	115	19	data	datum	NOUN
cana-5163	115	20	from	from	ADP
cana-5163	115	21	facebook	facebook	NOUN
cana-5163	115	22	pages	page	NOUN
cana-5163	115	23	where	where	SCONJ
cana-5163	115	24	they	they	PRON
cana-5163	115	25	express	express	VERB
cana-5163	115	26	their	their	PRON
cana-5163	115	27	emotions	emotion	NOUN
cana-5163	115	28	.	.	PUNCT
cana-5163	116	1	a	a	DET
cana-5163	116	2	total	total	NOUN
cana-5163	116	3	of	of	ADP
cana-5163	116	4	783	783	NUM
cana-5163	116	5	posts	post	NOUN
cana-5163	116	6	were	be	AUX
cana-5163	116	7	collected	collect	VERB
cana-5163	116	8	,	,	PUNCT
cana-5163	116	9	with	with	ADP
cana-5163	116	10	manual	manual	ADJ
cana-5163	116	11	annotations	annotation	NOUN
cana-5163	116	12	assigned	assign	VERB
cana-5163	116	13	to	to	PART
cana-5163	116	14	address	address	VERB
cana-5163	116	15	lengthy	lengthy	ADJ
cana-5163	116	16	posts	post	NOUN
cana-5163	116	17	containing	contain	VERB
cana-5163	116	18	long	long	ADJ
cana-5163	116	19	texts	text	NOUN
cana-5163	116	20	.	.	PUNCT
cana-5163	117	1	they	they	PRON
cana-5163	117	2	employed	employ	VERB
cana-5163	117	3	svm	svm	PROPN
cana-5163	117	4	,	,	PUNCT
cana-5163	117	5	xgboost	xgboost	ADV
cana-5163	117	6	,	,	PUNCT
cana-5163	117	7	and	and	CCONJ
cana-5163	117	8	bert	bert	PROPN
cana-5163	117	9	,	,	PUNCT
cana-5163	117	10	along	along	ADP
cana-5163	117	11	with	with	ADP
cana-5163	117	12	various	various	ADJ
cana-5163	117	13	nlp	nlp	NOUN
cana-5163	117	14	techniques	technique	NOUN
cana-5163	117	15	,	,	PUNCT
cana-5163	117	16	for	for	ADP
cana-5163	117	17	each	each	DET
cana-5163	117	18	depression	depression	NOUN
cana-5163	117	19	sign	sign	NOUN
cana-5163	117	20	.	.	PUNCT
cana-5163	118	1	the	the	DET
cana-5163	118	2	deep	deep	ADJ
cana-5163	118	3	learning	learning	NOUN
cana-5163	118	4	techniques	technique	NOUN
cana-5163	118	5	outperformed	outperform	VERB
cana-5163	118	6	the	the	DET
cana-5163	118	7	state	state	NOUN
cana-5163	118	8	of	of	ADP
cana-5163	118	9	art	art	NOUN
cana-5163	118	10	(	(	PUNCT
cana-5163	118	11	mendes	mende	NOUN
cana-5163	118	12	,	,	PUNCT
cana-5163	118	13	caseli	caseli	ADJ
cana-5163	118	14	,	,	PUNCT
cana-5163	118	15	luis	luis	PROPN
cana-5163	118	16	,	,	PUNCT
cana-5163	118	17	&	&	CCONJ
cana-5163	118	18	sp	sp	PROPN
cana-5163	118	19	,	,	PUNCT
cana-5163	118	20	2022	2022	NUM
cana-5163	118	21	)	)	PUNCT
cana-5163	118	22	.	.	PUNCT
cana-5163	119	1	amanat	amanat	NOUN
cana-5163	119	2	et	et	PROPN
cana-5163	119	3	al	al	PROPN
cana-5163	119	4	.	.	PROPN
cana-5163	120	1	(	(	PUNCT
cana-5163	120	2	2022	2022	NUM
cana-5163	120	3	)	)	PUNCT
cana-5163	120	4	authors	author	NOUN
cana-5163	120	5	proposed	propose	VERB
cana-5163	120	6	a	a	DET
cana-5163	120	7	machine	machine	NOUN
cana-5163	120	8	learning	learn	VERB
cana-5163	120	9	model	model	NOUN
cana-5163	120	10	that	that	SCONJ
cana-5163	120	11	utilized	utilize	VERB
cana-5163	120	12	long	long	ADJ
cana-5163	120	13	short	short	ADJ
cana-5163	120	14	-	-	PUNCT
cana-5163	120	15	term	term	NOUN
cana-5163	120	16	memory	memory	NOUN
cana-5163	120	17	(	(	PUNCT
cana-5163	120	18	lstm	lstm	NOUN
cana-5163	120	19	)	)	PUNCT
cana-5163	120	20	and	and	CCONJ
cana-5163	120	21	recurrent	recurrent	ADJ
cana-5163	120	22	neural	neural	ADJ
cana-5163	120	23	networks	network	NOUN
cana-5163	120	24	(	(	PUNCT
cana-5163	120	25	rnn	rnn	PROPN
cana-5163	120	26	)	)	PUNCT
cana-5163	120	27	,	,	PUNCT
cana-5163	120	28	comparing	compare	VERB
cana-5163	120	29	it	it	PRON
cana-5163	120	30	with	with	ADP
cana-5163	120	31	svm	svm	PROPN
cana-5163	120	32	,	,	PUNCT
cana-5163	120	33	one	one	NUM
cana-5163	120	34	-	-	PUNCT
cana-5163	120	35	hot	hot	ADJ
cana-5163	120	36	+	+	CCONJ
cana-5163	120	37	svm	svm	ADJ
cana-5163	120	38	,	,	PUNCT
cana-5163	120	39	naive	naive	ADJ
cana-5163	120	40	bayes	bayes	NOUN
cana-5163	120	41	(	(	PUNCT
cana-5163	120	42	nb	nb	NOUN
cana-5163	120	43	)	)	PUNCT
cana-5163	120	44	,	,	PUNCT
cana-5163	120	45	and	and	CCONJ
cana-5163	120	46	dbn	dbn	PROPN
cana-5163	120	47	+	+	CCONJ
cana-5163	121	1	one	one	NUM
cana-5163	121	2	-	-	PUNCT
cana-5163	121	3	hot	hot	ADJ
cana-5163	121	4	for	for	ADP
cana-5163	121	5	detecting	detect	VERB
cana-5163	121	6	depression	depression	NOUN
cana-5163	121	7	from	from	ADP
cana-5163	121	8	the	the	DET
cana-5163	121	9	texts	text	NOUN
cana-5163	121	10	and	and	CCONJ
cana-5163	121	11	emoticons	emoticon	NOUN
cana-5163	121	12	used	use	VERB
cana-5163	121	13	by	by	ADP
cana-5163	121	14	social	social	ADJ
cana-5163	121	15	media	medium	NOUN
cana-5163	121	16	users	user	NOUN
cana-5163	121	17	.	.	PUNCT
cana-5163	122	1	the	the	DET
cana-5163	122	2	cnn	cnn	PROPN
cana-5163	122	3	with	with	ADP
cana-5163	122	4	tf	tf	PROPN
cana-5163	122	5	-	-	PUNCT
cana-5163	122	6	idf	idf	PROPN
cana-5163	122	7	model	model	NOUN
cana-5163	122	8	achieved	achieve	VERB
cana-5163	122	9	an	an	DET
cana-5163	122	10	accuracy	accuracy	NOUN
cana-5163	122	11	of	of	ADP
cana-5163	122	12	99.0	99.0	NUM
cana-5163	122	13	%	%	NOUN
cana-5163	122	14	.	.	PUNCT
cana-5163	123	1	a	a	DET
cana-5163	123	2	performance	performance	NOUN
cana-5163	123	3	comparison	comparison	NOUN
cana-5163	123	4	of	of	ADP
cana-5163	123	5	the	the	DET
cana-5163	123	6	proposed	propose	VERB
cana-5163	123	7	model	model	NOUN
cana-5163	123	8	was	be	AUX
cana-5163	123	9	conducted	conduct	VERB
cana-5163	123	10	against	against	ADP
cana-5163	123	11	other	other	ADJ
cana-5163	123	12	models	model	NOUN
cana-5163	123	13	(	(	PUNCT
cana-5163	123	14	amanat	amanat	NOUN
cana-5163	123	15	et	et	PROPN
cana-5163	123	16	al	al	PROPN
cana-5163	123	17	.	.	PROPN
cana-5163	123	18	,	,	PUNCT
cana-5163	123	19	2022	2022	NUM
cana-5163	123	20	)	)	PUNCT
cana-5163	123	21	.	.	PUNCT
cana-5163	124	1	gupta	gupta	PROPN
cana-5163	124	2	et	et	PROPN
cana-5163	124	3	al	al	PROPN
cana-5163	124	4	.	.	PROPN
cana-5163	125	1	(	(	PUNCT
cana-5163	125	2	2022	2022	NUM
cana-5163	125	3	)	)	PUNCT
cana-5163	125	4	employed	employ	VERB
cana-5163	125	5	machine	machine	NOUN
cana-5163	125	6	learning	learn	VERB
cana-5163	125	7	classifiers	classifier	NOUN
cana-5163	125	8	to	to	PART
cana-5163	125	9	detect	detect	VERB
cana-5163	125	10	depression	depression	NOUN
cana-5163	125	11	on	on	ADP
cana-5163	125	12	social	social	ADJ
cana-5163	125	13	media	medium	NOUN
cana-5163	125	14	sites	site	NOUN
cana-5163	125	15	and	and	CCONJ
cana-5163	125	16	analyzed	analyze	VERB
cana-5163	125	17	the	the	DET
cana-5163	125	18	behavior	behavior	NOUN
cana-5163	125	19	and	and	CCONJ
cana-5163	125	20	activity	activity	NOUN
cana-5163	125	21	patterns	pattern	NOUN
cana-5163	125	22	of	of	ADP
cana-5163	125	23	the	the	DET
cana-5163	125	24	depressed	depressed	ADJ
cana-5163	125	25	group	group	NOUN
cana-5163	125	26	.	.	PUNCT
cana-5163	126	1	they	they	PRON
cana-5163	126	2	used	use	VERB
cana-5163	126	3	two	two	NUM
cana-5163	126	4	public	public	ADJ
cana-5163	126	5	datasets	dataset	NOUN
cana-5163	126	6	,	,	PUNCT
cana-5163	126	7	sentiment_140	sentiment_140	ADJ
cana-5163	126	8	and	and	CCONJ
cana-5163	126	9	sentiment_tweets3	sentiment_tweets3	NOUN
cana-5163	126	10	,	,	PUNCT
cana-5163	126	11	for	for	ADP
cana-5163	126	12	training	training	NOUN
cana-5163	126	13	and	and	CCONJ
cana-5163	126	14	testing	testing	NOUN
cana-5163	126	15	.	.	PUNCT
cana-5163	127	1	the	the	DET
cana-5163	127	2	study	study	NOUN
cana-5163	127	3	highlighted	highlight	VERB
cana-5163	127	4	the	the	DET
cana-5163	127	5	high	high	ADJ
cana-5163	127	6	activity	activity	NOUN
cana-5163	127	7	rates	rate	NOUN
cana-5163	127	8	during	during	ADP
cana-5163	127	9	both	both	DET
cana-5163	127	10	day	day	NOUN
cana-5163	127	11	and	and	CCONJ
cana-5163	127	12	night	night	NOUN
cana-5163	127	13	.	.	PUNCT
cana-5163	128	1	the	the	DET
cana-5163	128	2	proposed	propose	VERB
cana-5163	128	3	classifiers	classifier	NOUN
cana-5163	128	4	included	include	VERB
cana-5163	128	5	decision	decision	NOUN
cana-5163	128	6	tree	tree	NOUN
cana-5163	128	7	(	(	PUNCT
cana-5163	128	8	dt	dt	PROPN
cana-5163	128	9	)	)	PUNCT
cana-5163	128	10	,	,	PUNCT
cana-5163	128	11	k	k	X
cana-5163	128	12	-	-	PUNCT
cana-5163	128	13	nearest	near	ADJ
cana-5163	128	14	neighbors	neighbor	NOUN
cana-5163	128	15	(	(	PUNCT
cana-5163	128	16	knn	knn	PROPN
cana-5163	128	17	)	)	PUNCT
cana-5163	128	18	,	,	PUNCT
cana-5163	128	19	support	support	NOUN
cana-5163	128	20	vector	vector	NOUN
cana-5163	128	21	machine	machine	NOUN
cana-5163	128	22	(	(	PUNCT
cana-5163	128	23	svm	svm	PROPN
cana-5163	128	24	)	)	PUNCT
cana-5163	128	25	,	,	PUNCT
cana-5163	128	26	logistic	logistic	ADJ
cana-5163	128	27	regression	regression	NOUN
cana-5163	128	28	(	(	PUNCT
cana-5163	128	29	lr	lr	NOUN
cana-5163	128	30	)	)	PUNCT
cana-5163	128	31	,	,	PUNCT
cana-5163	128	32	and	and	CCONJ
cana-5163	128	33	long	long	ADJ
cana-5163	128	34	short	short	ADJ
cana-5163	128	35	-	-	PUNCT
cana-5163	128	36	term	term	NOUN
cana-5163	128	37	memory	memory	NOUN
cana-5163	128	38	(	(	PUNCT
cana-5163	128	39	lstm	lstm	NOUN
cana-5163	128	40	)	)	PUNCT
cana-5163	128	41	.	.	PUNCT
cana-5163	129	1	lstm	lstm	PROPN
cana-5163	129	2	outperformed	outperform	VERB
cana-5163	129	3	the	the	DET
cana-5163	129	4	other	other	ADJ
cana-5163	129	5	models	model	NOUN
cana-5163	129	6	in	in	ADP
cana-5163	129	7	detecting	detect	VERB
cana-5163	129	8	depression	depression	NOUN
cana-5163	129	9	from	from	ADP
cana-5163	129	10	twitter	twitter	NOUN
cana-5163	129	11	(	(	PUNCT
cana-5163	129	12	gupta	gupta	PROPN
cana-5163	129	13	,	,	PUNCT
cana-5163	129	14	goel	goel	PROPN
cana-5163	129	15	,	,	PUNCT
cana-5163	129	16	singh	singh	PROPN
cana-5163	129	17	,	,	PUNCT
cana-5163	129	18	prasad	prasad	PROPN
cana-5163	129	19	,	,	PUNCT
cana-5163	129	20	&	&	CCONJ
cana-5163	129	21	ullah	ullah	PROPN
cana-5163	129	22	,	,	PUNCT
cana-5163	129	23	2022	2022	NUM
cana-5163	129	24	)	)	PUNCT
cana-5163	129	25	.	.	PUNCT
cana-5163	130	1	to	to	PART
cana-5163	130	2	detect	detect	VERB
cana-5163	130	3	depressed	depressed	ADJ
cana-5163	130	4	users	user	NOUN
cana-5163	130	5	on	on	ADP
cana-5163	130	6	twitter	twitter	NOUN
cana-5163	130	7	,	,	PUNCT
cana-5163	130	8	garcia	garcia	PROPN
cana-5163	130	9	-	-	PUNCT
cana-5163	130	10	noguez	noguez	PROPN
cana-5163	130	11	et	et	PROPN
cana-5163	130	12	al	al	PROPN
cana-5163	130	13	.	.	PROPN
cana-5163	131	1	(	(	PUNCT
cana-5163	131	2	2023	2023	NUM
cana-5163	131	3	)	)	PUNCT
cana-5163	131	4	incorporated	incorporate	VERB
cana-5163	131	5	temporal	temporal	ADJ
cana-5163	131	6	analysis	analysis	NOUN
cana-5163	131	7	,	,	PUNCT
cana-5163	131	8	and	and	CCONJ
cana-5163	131	9	through	through	ADP
cana-5163	131	10	this	this	DET
cana-5163	131	11	innovative	innovative	ADJ
cana-5163	131	12	approach	approach	NOUN
cana-5163	131	13	,	,	PUNCT
cana-5163	131	14	they	they	PRON
cana-5163	131	15	were	be	AUX
cana-5163	131	16	able	able	ADJ
cana-5163	131	17	to	to	PART
cana-5163	131	18	distinguish	distinguish	VERB
cana-5163	131	19	between	between	ADP
cana-5163	131	20	signs	sign	NOUN
cana-5163	131	21	of	of	ADP
cana-5163	131	22	major	major	ADJ
cana-5163	131	23	depressive	depressive	ADJ
cana-5163	131	24	disorder	disorder	NOUN
cana-5163	131	25	(	(	PUNCT
cana-5163	131	26	mdd	mdd	PROPN
cana-5163	131	27	)	)	PUNCT
cana-5163	131	28	and	and	CCONJ
cana-5163	131	29	persistent	persistent	ADJ
cana-5163	131	30	depressive	depressive	ADJ
cana-5163	131	31	disorder	disorder	NOUN
cana-5163	131	32	(	(	PUNCT
cana-5163	131	33	pdd	pdd	NOUN
cana-5163	131	34	)	)	PUNCT
cana-5163	131	35	based	base	VERB
cana-5163	131	36	on	on	ADP
cana-5163	131	37	dsm	dsm	PROPN
cana-5163	131	38	-	-	PUNCT
cana-5163	131	39	v	v	NOUN
cana-5163	131	40	criteria	criterion	NOUN
cana-5163	131	41	.	.	PUNCT
cana-5163	132	1	they	they	PRON
cana-5163	132	2	selected	select	VERB
cana-5163	132	3	the	the	DET
cana-5163	132	4	clpsych	clpsych	NOUN
cana-5163	132	5	2015	2015	NUM
cana-5163	132	6	dataset	dataset	NOUN
cana-5163	132	7	,	,	PUNCT
cana-5163	132	8	which	which	PRON
cana-5163	132	9	had	have	AUX
cana-5163	132	10	been	be	AUX
cana-5163	132	11	used	use	VERB
cana-5163	132	12	in	in	ADP
cana-5163	132	13	previous	previous	ADJ
cana-5163	132	14	studies	study	NOUN
cana-5163	132	15	.	.	PUNCT
cana-5163	133	1	the	the	DET
cana-5163	133	2	results	result	NOUN
cana-5163	133	3	were	be	AUX
cana-5163	133	4	evaluated	evaluate	VERB
cana-5163	133	5	using	use	VERB
cana-5163	133	6	cnn	cnn	PROPN
cana-5163	133	7	with	with	ADP
cana-5163	133	8	glove	glove	NOUN
cana-5163	133	9	and	and	CCONJ
cana-5163	133	10	xgboost	xgboost	NOUN
cana-5163	133	11	with	with	ADP
cana-5163	133	12	tf	tf	PROPN
cana-5163	133	13	-	-	PUNCT
cana-5163	133	14	idf	idf	PROPN
cana-5163	133	15	classifiers	classifier	NOUN
cana-5163	133	16	.	.	PUNCT
cana-5163	134	1	cnn	cnn	PROPN
cana-5163	134	2	with	with	ADP
cana-5163	134	3	glove	glove	PROPN
cana-5163	134	4	outperformed	outperform	VERB
cana-5163	134	5	the	the	DET
cana-5163	134	6	baseline	baseline	NOUN
cana-5163	134	7	model	model	NOUN
cana-5163	134	8	,	,	PUNCT
cana-5163	134	9	achieving	achieve	VERB
cana-5163	134	10	an	an	DET
cana-5163	134	11	accuracy	accuracy	NOUN
cana-5163	134	12	of	of	ADP
cana-5163	134	13	88.61	88.61	NUM
cana-5163	134	14	%	%	NOUN
cana-5163	134	15	(	(	PUNCT
cana-5163	134	16	garcía	garcía	NOUN
cana-5163	134	17	-	-	PUNCT
cana-5163	134	18	noguez	noguez	NOUN
cana-5163	134	19	et	et	PROPN
cana-5163	134	20	al	al	PROPN
cana-5163	134	21	.	.	PROPN
cana-5163	134	22	,	,	PUNCT
cana-5163	134	23	2023	2023	NUM
cana-5163	134	24	)	)	PUNCT
cana-5163	134	25	.	.	PUNCT
cana-5163	135	1	xlnet	xlnet	PROPN
cana-5163	135	2	was	be	AUX
cana-5163	135	3	proposed	propose	VERB
cana-5163	135	4	by	by	ADP
cana-5163	135	5	apriliani	apriliani	PROPN
cana-5163	135	6	et	et	PROPN
cana-5163	135	7	al	al	PROPN
cana-5163	135	8	.	.	PROPN
cana-5163	136	1	(	(	PUNCT
cana-5163	136	2	2023	2023	NUM
cana-5163	136	3	)	)	PUNCT
cana-5163	136	4	for	for	ADP
cana-5163	136	5	depression	depression	NOUN
cana-5163	136	6	detection	detection	NOUN
cana-5163	136	7	from	from	ADP
cana-5163	136	8	twitter	twitter	NOUN
cana-5163	136	9	texts	text	NOUN
cana-5163	136	10	.	.	PUNCT
cana-5163	137	1	they	they	PRON
cana-5163	137	2	collected	collect	VERB
cana-5163	137	3	data	datum	NOUN
cana-5163	137	4	for	for	ADP
cana-5163	137	5	their	their	PRON
cana-5163	137	6	dataset	dataset	NOUN
cana-5163	137	7	using	use	VERB
cana-5163	137	8	dass-42	dass-42	PROPN
cana-5163	137	9	questionnaires	questionnaire	NOUN
cana-5163	137	10	filled	fill	VERB
cana-5163	137	11	out	out	ADP
cana-5163	137	12	by	by	ADP
cana-5163	137	13	the	the	DET
cana-5163	137	14	respondents	respondent	NOUN
cana-5163	137	15	.	.	PUNCT
cana-5163	138	1	the	the	DET
cana-5163	138	2	dass42	dass42	NOUN
cana-5163	138	3	is	be	AUX
cana-5163	138	4	a	a	DET
cana-5163	138	5	self	self	NOUN
cana-5163	138	6	-	-	PUNCT
cana-5163	138	7	report	report	NOUN
cana-5163	138	8	questionnaire	questionnaire	NOUN
cana-5163	138	9	that	that	PRON
cana-5163	138	10	assesses	assess	VERB
cana-5163	138	11	42	42	NUM
cana-5163	138	12	negative	negative	ADJ
cana-5163	138	13	emotional	emotional	ADJ
cana-5163	138	14	symptoms	symptom	NOUN
cana-5163	138	15	related	relate	VERB
cana-5163	138	16	to	to	ADP
cana-5163	138	17	depression	depression	NOUN
cana-5163	138	18	,	,	PUNCT
cana-5163	138	19	anxiety	anxiety	NOUN
cana-5163	138	20	,	,	PUNCT
cana-5163	138	21	and	and	CCONJ
cana-5163	138	22	stress	stress	NOUN
cana-5163	138	23	.	.	PUNCT
cana-5163	139	1	xlnet	xlnet	PROPN
cana-5163	139	2	is	be	AUX
cana-5163	139	3	an	an	DET
cana-5163	139	4	autoregressive	autoregressive	ADJ
cana-5163	139	5	model	model	NOUN
cana-5163	139	6	that	that	PRON
cana-5163	139	7	learns	learn	VERB
cana-5163	139	8	bidirectional	bidirectional	ADJ
cana-5163	139	9	context	context	NOUN
cana-5163	139	10	and	and	CCONJ
cana-5163	139	11	features	feature	VERB
cana-5163	139	12	a	a	DET
cana-5163	139	13	two	two	NUM
cana-5163	139	14	-	-	PUNCT
cana-5163	139	15	stream	stream	NOUN
cana-5163	139	16	self	self	NOUN
cana-5163	139	17	-	-	PUNCT
cana-5163	139	18	attention	attention	NOUN
cana-5163	139	19	architecture	architecture	NOUN
cana-5163	139	20	.	.	PUNCT
cana-5163	140	1	the	the	DET
cana-5163	140	2	performance	performance	NOUN
cana-5163	140	3	of	of	ADP
cana-5163	140	4	xlnet	xlnet	PROPN
cana-5163	140	5	was	be	AUX
cana-5163	140	6	evaluated	evaluate	VERB
cana-5163	140	7	in	in	ADP
cana-5163	140	8	three	three	NUM
cana-5163	140	9	different	different	ADJ
cana-5163	140	10	scenarios	scenario	NOUN
cana-5163	140	11	,	,	PUNCT
cana-5163	140	12	and	and	CCONJ
cana-5163	140	13	the	the	DET
cana-5163	140	14	model	model	NOUN
cana-5163	140	15	performed	perform	VERB
cana-5163	140	16	well	well	ADV
cana-5163	140	17	with	with	ADP
cana-5163	140	18	an	an	DET
cana-5163	140	19	average	average	ADJ
cana-5163	140	20	accuracy	accuracy	NOUN
cana-5163	140	21	rate	rate	NOUN
cana-5163	140	22	of	of	ADP
cana-5163	140	23	93.3	93.3	NUM
cana-5163	140	24	%	%	NOUN
cana-5163	140	25	(	(	PUNCT
cana-5163	140	26	apriliani	apriliani	PROPN
cana-5163	140	27	&	&	CCONJ
cana-5163	140	28	maharani	maharani	PROPN
cana-5163	140	29	,	,	PUNCT
cana-5163	140	30	2023	2023	NUM
cana-5163	140	31	)	)	PUNCT
cana-5163	140	32	.	.	PUNCT
cana-5163	141	1	a	a	DET
cana-5163	141	2	kumar	kumar	PROPN
cana-5163	141	3	et	et	PROPN
cana-5163	141	4	al	al	PROPN
cana-5163	141	5	.	.	PROPN
cana-5163	141	6	(	(	PUNCT
cana-5163	141	7	2023	2023	NUM
cana-5163	141	8	)	)	PUNCT
cana-5163	141	9	employed	employ	VERB
cana-5163	141	10	a	a	DET
cana-5163	141	11	bert	bert	NOUN
cana-5163	141	12	and	and	CCONJ
cana-5163	141	13	bilstm	bilstm	NOUN
cana-5163	141	14	pipeline	pipeline	NOUN
cana-5163	141	15	for	for	ADP
cana-5163	141	16	depression	depression	NOUN
cana-5163	141	17	detection	detection	NOUN
cana-5163	141	18	in	in	ADP
cana-5163	141	19	arabic	arabic	ADJ
cana-5163	141	20	social	social	ADJ
cana-5163	141	21	media	medium	NOUN
cana-5163	141	22	,	,	PUNCT
cana-5163	141	23	using	use	VERB
cana-5163	141	24	two	two	NUM
cana-5163	141	25	arabic	arabic	ADJ
cana-5163	141	26	language	language	NOUN
cana-5163	141	27	datasets	dataset	NOUN
cana-5163	141	28	.	.	PUNCT
cana-5163	142	1	the	the	DET
cana-5163	142	2	performance	performance	NOUN
cana-5163	142	3	of	of	ADP
cana-5163	142	4	these	these	DET
cana-5163	142	5	models	model	NOUN
cana-5163	142	6	was	be	AUX
cana-5163	142	7	compared	compare	VERB
cana-5163	142	8	with	with	ADP
cana-5163	142	9	that	that	PRON
cana-5163	142	10	of	of	ADP
cana-5163	142	11	rf	rf	PROPN
cana-5163	142	12	,	,	PUNCT
cana-5163	142	13	knn	knn	PROPN
cana-5163	142	14	,	,	PUNCT
cana-5163	142	15	naive	naive	ADJ
cana-5163	142	16	bayes	bayes	NOUN
cana-5163	142	17	(	(	PUNCT
cana-5163	142	18	nb	nb	PROPN
cana-5163	142	19	)	)	PUNCT
cana-5163	142	20	,	,	PUNCT
cana-5163	142	21	gradient	gradient	NOUN
cana-5163	142	22	boosting	boosting	NOUN
cana-5163	142	23	(	(	PUNCT
cana-5163	142	24	gb	gb	NOUN
cana-5163	142	25	)	)	PUNCT
cana-5163	142	26	,	,	PUNCT
cana-5163	142	27	and	and	CCONJ
cana-5163	142	28	decision	decision	NOUN
cana-5163	142	29	tree	tree	NOUN
cana-5163	142	30	(	(	PUNCT
cana-5163	142	31	dt	dt	NOUN
cana-5163	142	32	)	)	PUNCT
cana-5163	142	33	classifiers	classifier	NOUN
cana-5163	142	34	with	with	ADP
cana-5163	142	35	tf	tf	PROPN
cana-5163	142	36	-	-	PUNCT
cana-5163	142	37	idf	idf	PROPN
cana-5163	142	38	.	.	PUNCT
cana-5163	143	1	additionally	additionally	ADV
cana-5163	143	2	,	,	PUNCT
cana-5163	143	3	a	a	DET
cana-5163	143	4	fine	fine	ADV
cana-5163	143	5	-	-	PUNCT
cana-5163	143	6	tuned	tune	VERB
cana-5163	143	7	roberta	roberta	PROPN
cana-5163	143	8	model	model	NOUN
cana-5163	143	9	was	be	AUX
cana-5163	143	10	proposed	propose	VERB
cana-5163	143	11	for	for	ADP
cana-5163	143	12	detecting	detect	VERB
cana-5163	143	13	signs	sign	NOUN
cana-5163	143	14	of	of	ADP
cana-5163	143	15	depression	depression	NOUN
cana-5163	143	16	(	(	PUNCT
cana-5163	143	17	depressive	depressive	ADJ
cana-5163	143	18	,	,	PUNCT
cana-5163	143	19	non	non	ADJ
cana-5163	143	20	-	-	ADJ
cana-5163	143	21	depressive	depressive	ADJ
cana-5163	143	22	,	,	PUNCT
cana-5163	143	23	and	and	CCONJ
cana-5163	143	24	severe	severe	ADJ
cana-5163	143	25	depressive	depressive	NOUN
cana-5163	143	26	)	)	PUNCT
cana-5163	143	27	in	in	ADP
cana-5163	143	28	an	an	DET
cana-5163	143	29	english	english	ADJ
cana-5163	143	30	language	language	NOUN
cana-5163	143	31	dataset	dataset	NOUN
cana-5163	143	32	.	.	PUNCT
cana-5163	144	1	the	the	DET
cana-5163	144	2	authors	author	NOUN
cana-5163	144	3	utilized	utilize	VERB
cana-5163	144	4	three	three	NUM
cana-5163	144	5	datasets	dataset	NOUN
cana-5163	144	6	from	from	ADP
cana-5163	144	7	previous	previous	ADJ
cana-5163	144	8	studies	study	NOUN
cana-5163	144	9	,	,	PUNCT
cana-5163	144	10	two	two	NUM
cana-5163	144	11	in	in	ADP
cana-5163	144	12	arabic	arabic	ADJ
cana-5163	144	13	and	and	CCONJ
cana-5163	144	14	one	one	NUM
cana-5163	144	15	in	in	ADP
cana-5163	144	16	english	english	PROPN
cana-5163	144	17	.	.	PUNCT
cana-5163	145	1	roberta	roberta	PROPN
cana-5163	145	2	communications	communication	NOUN
cana-5163	145	3	on	on	ADP
cana-5163	145	4	applied	apply	VERB
cana-5163	145	5	nonlinear	nonlinear	ADJ
cana-5163	145	6	analysis	analysis	NOUN
cana-5163	145	7	issn	issn	NOUN
cana-5163	145	8	:	:	PUNCT
cana-5163	145	9	1074	1074	NUM
cana-5163	145	10	-	-	PUNCT
cana-5163	145	11	133x	133x	NUM
cana-5163	145	12	vol	vol	NOUN
cana-5163	145	13	32	32	NUM
cana-5163	145	14	no	no	NOUN
cana-5163	145	15	.	.	PUNCT
cana-5163	146	1	icmasd	icmasd	NOUN
cana-5163	146	2	(	(	PUNCT
cana-5163	146	3	2025	2025	NUM
cana-5163	146	4	)	)	PUNCT
cana-5163	146	5	1396	1396	NUM
cana-5163	147	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	147	2	outperformed	outperform	VERB
cana-5163	147	3	the	the	DET
cana-5163	147	4	baseline	baseline	NOUN
cana-5163	147	5	models	model	NOUN
cana-5163	147	6	,	,	PUNCT
cana-5163	147	7	achieving	achieve	VERB
cana-5163	147	8	an	an	DET
cana-5163	147	9	f1	f1	ADJ
cana-5163	147	10	score	score	NOUN
cana-5163	147	11	of	of	ADP
cana-5163	147	12	1.00	1.00	NUM
cana-5163	147	13	and	and	CCONJ
cana-5163	147	14	0.82	0.82	NUM
cana-5163	147	15	on	on	ADP
cana-5163	147	16	the	the	DET
cana-5163	147	17	two	two	NUM
cana-5163	147	18	arabic	arabic	ADJ
cana-5163	147	19	datasets	dataset	NOUN
cana-5163	147	20	,	,	PUNCT
cana-5163	147	21	and	and	CCONJ
cana-5163	147	22	0.60	0.60	NUM
cana-5163	147	23	on	on	ADP
cana-5163	147	24	the	the	DET
cana-5163	147	25	english	english	ADJ
cana-5163	147	26	dataset	dataset	NOUN
cana-5163	147	27	(	(	PUNCT
cana-5163	147	28	a.	a.	PROPN
cana-5163	147	29	kumar	kumar	PROPN
cana-5163	147	30	,	,	PUNCT
cana-5163	147	31	kumari	kumari	PROPN
cana-5163	147	32	,	,	PUNCT
cana-5163	147	33	&	&	CCONJ
cana-5163	147	34	pradhan	pradhan	PROPN
cana-5163	147	35	,	,	PUNCT
cana-5163	147	36	2023	2023	NUM
cana-5163	147	37	)	)	PUNCT
cana-5163	147	38	.	.	PUNCT
cana-5163	148	1	bokolo	bokolo	PROPN
cana-5163	148	2	et	et	PROPN
cana-5163	148	3	al	al	PROPN
cana-5163	148	4	.	.	PROPN
cana-5163	149	1	(	(	PUNCT
cana-5163	149	2	2023	2023	NUM
cana-5163	149	3	)	)	PUNCT
cana-5163	149	4	employed	employ	VERB
cana-5163	149	5	multiple	multiple	ADJ
cana-5163	149	6	deep	deep	ADJ
cana-5163	149	7	learning	learning	NOUN
cana-5163	149	8	models	model	NOUN
cana-5163	149	9	for	for	ADP
cana-5163	149	10	depression	depression	NOUN
cana-5163	149	11	detection	detection	NOUN
cana-5163	149	12	in	in	ADP
cana-5163	149	13	user	user	NOUN
cana-5163	149	14	tweets	tweet	NOUN
cana-5163	149	15	,	,	PUNCT
cana-5163	149	16	including	include	VERB
cana-5163	149	17	roberta	roberta	PROPN
cana-5163	149	18	,	,	PUNCT
cana-5163	149	19	squeezebarta	squeezebarta	PROPN
cana-5163	149	20	,	,	PUNCT
cana-5163	149	21	distilbert	distilbert	NOUN
cana-5163	149	22	,	,	PUNCT
cana-5163	149	23	and	and	CCONJ
cana-5163	149	24	deberta	deberta	NOUN
cana-5163	149	25	.	.	PUNCT
cana-5163	150	1	these	these	DET
cana-5163	150	2	models	model	NOUN
cana-5163	150	3	were	be	AUX
cana-5163	150	4	evaluated	evaluate	VERB
cana-5163	150	5	for	for	ADP
cana-5163	150	6	depression	depression	NOUN
cana-5163	150	7	detection	detection	NOUN
cana-5163	150	8	and	and	CCONJ
cana-5163	150	9	compared	compare	VERB
cana-5163	150	10	to	to	ADP
cana-5163	150	11	traditional	traditional	ADJ
cana-5163	150	12	machine	machine	NOUN
cana-5163	150	13	learning	learn	VERB
cana-5163	150	14	classifiers	classifier	NOUN
cana-5163	150	15	such	such	ADJ
cana-5163	150	16	as	as	ADP
cana-5163	150	17	logistic	logistic	ADJ
cana-5163	150	18	regression	regression	NOUN
cana-5163	150	19	(	(	PUNCT
cana-5163	150	20	lr	lr	NOUN
cana-5163	150	21	)	)	PUNCT
cana-5163	150	22	,	,	PUNCT
cana-5163	150	23	bernoulli	bernoulli	PROPN
cana-5163	150	24	naive	naive	ADJ
cana-5163	150	25	bayes	bayes	NOUN
cana-5163	150	26	(	(	PUNCT
cana-5163	150	27	nb	nb	PROPN
cana-5163	150	28	)	)	PUNCT
cana-5163	150	29	,	,	PUNCT
cana-5163	150	30	random	random	ADJ
cana-5163	150	31	forest	forest	NOUN
cana-5163	150	32	(	(	PUNCT
cana-5163	150	33	rf	rf	NOUN
cana-5163	150	34	)	)	PUNCT
cana-5163	150	35	,	,	PUNCT
cana-5163	150	36	and	and	CCONJ
cana-5163	150	37	the	the	DET
cana-5163	150	38	tf	tf	PROPN
cana-5163	150	39	-	-	PUNCT
cana-5163	150	40	idf	idf	PROPN
cana-5163	150	41	technique	technique	NOUN
cana-5163	150	42	of	of	ADP
cana-5163	150	43	nlp	nlp	NOUN
cana-5163	150	44	,	,	PUNCT
cana-5163	150	45	based	base	VERB
cana-5163	150	46	on	on	ADP
cana-5163	150	47	various	various	ADJ
cana-5163	150	48	performance	performance	NOUN
cana-5163	150	49	metrics	metric	NOUN
cana-5163	150	50	.	.	PUNCT
cana-5163	151	1	this	this	DET
cana-5163	151	2	study	study	NOUN
cana-5163	151	3	repurposed	repurpose	VERB
cana-5163	151	4	and	and	CCONJ
cana-5163	151	5	customized	customize	VERB
cana-5163	151	6	the	the	DET
cana-5163	151	7	sentiment140	sentiment140	PROPN
cana-5163	151	8	dataset	dataset	NOUN
cana-5163	151	9	,	,	PUNCT
cana-5163	151	10	which	which	PRON
cana-5163	151	11	had	have	AUX
cana-5163	151	12	been	be	AUX
cana-5163	151	13	used	use	VERB
cana-5163	151	14	in	in	ADP
cana-5163	151	15	previous	previous	ADJ
cana-5163	151	16	experimental	experimental	ADJ
cana-5163	151	17	studies	study	NOUN
cana-5163	151	18	.	.	PUNCT
cana-5163	152	1	all	all	DET
cana-5163	152	2	deep	deep	ADJ
cana-5163	152	3	learning	learning	NOUN
cana-5163	152	4	models	model	NOUN
cana-5163	152	5	outperformed	outperform	VERB
cana-5163	152	6	the	the	DET
cana-5163	152	7	state	state	NOUN
cana-5163	152	8	-	-	PUNCT
cana-5163	152	9	of	of	ADP
cana-5163	152	10	-	-	PUNCT
cana-5163	152	11	the	the	DET
cana-5163	152	12	-	-	PUNCT
cana-5163	152	13	art	art	NOUN
cana-5163	152	14	machine	machine	NOUN
cana-5163	152	15	learning	learning	NOUN
cana-5163	152	16	models	model	NOUN
cana-5163	152	17	,	,	PUNCT
cana-5163	152	18	with	with	ADP
cana-5163	152	19	roberta	roberta	PROPN
cana-5163	152	20	achieving	achieve	VERB
cana-5163	152	21	the	the	DET
cana-5163	152	22	highest	high	ADJ
cana-5163	152	23	performance	performance	NOUN
cana-5163	152	24	,	,	PUNCT
cana-5163	152	25	recording	recording	NOUN
cana-5163	152	26	accuracy	accuracy	NOUN
cana-5163	152	27	,	,	PUNCT
cana-5163	152	28	precision	precision	NOUN
cana-5163	152	29	,	,	PUNCT
cana-5163	152	30	recall	recall	NOUN
cana-5163	152	31	,	,	PUNCT
cana-5163	152	32	and	and	CCONJ
cana-5163	152	33	f1	f1	NOUN
cana-5163	152	34	scores	score	NOUN
cana-5163	152	35	of	of	ADP
cana-5163	152	36	98.0	98.0	NUM
cana-5163	152	37	%	%	NOUN
cana-5163	152	38	,	,	PUNCT
cana-5163	152	39	98.0	98.0	NUM
cana-5163	152	40	%	%	NOUN
cana-5163	152	41	,	,	PUNCT
cana-5163	152	42	99.0	99.0	NUM
cana-5163	152	43	%	%	NOUN
cana-5163	152	44	,	,	PUNCT
cana-5163	152	45	and	and	CCONJ
cana-5163	152	46	98	98	NUM
cana-5163	152	47	%	%	NOUN
cana-5163	152	48	,	,	PUNCT
cana-5163	152	49	respectively	respectively	ADV
cana-5163	152	50	(	(	PUNCT
cana-5163	152	51	bokolo	bokolo	PROPN
cana-5163	152	52	&	&	CCONJ
cana-5163	152	53	liu	liu	PROPN
cana-5163	152	54	,	,	PUNCT
cana-5163	152	55	2023	2023	NUM
cana-5163	152	56	)	)	PUNCT
cana-5163	152	57	.	.	PUNCT
cana-5163	153	1	an	an	DET
cana-5163	153	2	ensemble	ensemble	ADJ
cana-5163	153	3	model	model	NOUN
cana-5163	153	4	proposed	propose	VERB
cana-5163	153	5	by	by	ADP
cana-5163	153	6	adarsh	adarsh	PROPN
cana-5163	153	7	et	et	PROPN
cana-5163	153	8	al	al	PROPN
cana-5163	153	9	.	.	PROPN
cana-5163	153	10	(	(	PUNCT
cana-5163	153	11	2023	2023	NUM
cana-5163	153	12	)	)	PUNCT
cana-5163	153	13	combined	combine	VERB
cana-5163	153	14	svm	svm	NOUN
cana-5163	153	15	and	and	CCONJ
cana-5163	153	16	knn	knn	VERB
cana-5163	153	17	for	for	ADP
cana-5163	153	18	depression	depression	NOUN
cana-5163	153	19	detection	detection	NOUN
cana-5163	153	20	from	from	ADP
cana-5163	153	21	reddit	reddit	NOUN
cana-5163	153	22	.	.	PUNCT
cana-5163	154	1	they	they	PRON
cana-5163	154	2	selected	select	VERB
cana-5163	154	3	data	datum	NOUN
cana-5163	154	4	from	from	ADP
cana-5163	154	5	two	two	NUM
cana-5163	154	6	subreddits	subreddit	NOUN
cana-5163	154	7	,	,	PUNCT
cana-5163	154	8	r	r	NOUN
cana-5163	154	9	/	/	SYM
cana-5163	154	10	suicidewatch	suicidewatch	NOUN
cana-5163	154	11	and	and	CCONJ
cana-5163	154	12	r	r	NOUN
cana-5163	154	13	/	/	SYM
cana-5163	154	14	depression	depression	NOUN
cana-5163	154	15	,	,	PUNCT
cana-5163	154	16	to	to	PART
cana-5163	154	17	create	create	VERB
cana-5163	154	18	the	the	DET
cana-5163	154	19	dataset	dataset	NOUN
cana-5163	154	20	.	.	PUNCT
cana-5163	155	1	during	during	ADP
cana-5163	155	2	the	the	DET
cana-5163	155	3	pre	pre	ADJ
cana-5163	155	4	-	-	ADJ
cana-5163	155	5	processing	processing	ADJ
cana-5163	155	6	phase	phase	NOUN
cana-5163	155	7	,	,	PUNCT
cana-5163	155	8	neural	neural	ADJ
cana-5163	155	9	machine	machine	NOUN
cana-5163	155	10	translation	translation	NOUN
cana-5163	155	11	(	(	PUNCT
cana-5163	155	12	nmt	nmt	NOUN
cana-5163	155	13	)	)	PUNCT
cana-5163	155	14	and	and	CCONJ
cana-5163	155	15	one	one	NUM
cana-5163	155	16	-	-	PUNCT
cana-5163	155	17	shot	shot	NOUN
cana-5163	155	18	decision	decision	NOUN
cana-5163	155	19	approaches	approach	NOUN
cana-5163	155	20	were	be	AUX
cana-5163	155	21	used	use	VERB
cana-5163	155	22	to	to	PART
cana-5163	155	23	remove	remove	VERB
cana-5163	155	24	noisy	noisy	ADJ
cana-5163	155	25	data	datum	NOUN
cana-5163	155	26	and	and	CCONJ
cana-5163	155	27	address	address	VERB
cana-5163	155	28	the	the	DET
cana-5163	155	29	imbalanced	imbalanced	ADJ
cana-5163	155	30	data	datum	NOUN
cana-5163	155	31	issues	issue	NOUN
cana-5163	155	32	across	across	ADP
cana-5163	155	33	different	different	ADJ
cana-5163	155	34	age	age	NOUN
cana-5163	155	35	groups	group	NOUN
cana-5163	155	36	of	of	ADP
cana-5163	155	37	users	user	NOUN
cana-5163	155	38	,	,	PUNCT
cana-5163	155	39	respectively	respectively	ADV
cana-5163	155	40	.	.	PUNCT
cana-5163	156	1	afterward	afterward	ADV
cana-5163	156	2	,	,	PUNCT
cana-5163	156	3	tf	tf	PROPN
cana-5163	156	4	-	-	PUNCT
cana-5163	156	5	idf	idf	PROPN
cana-5163	156	6	was	be	AUX
cana-5163	156	7	applied	apply	VERB
cana-5163	156	8	for	for	ADP
cana-5163	156	9	text	text	NOUN
cana-5163	156	10	mining	mining	NOUN
cana-5163	156	11	.	.	PUNCT
cana-5163	157	1	additionally	additionally	ADV
cana-5163	157	2	,	,	PUNCT
cana-5163	157	3	they	they	PRON
cana-5163	157	4	employed	employ	VERB
cana-5163	157	5	local	local	ADJ
cana-5163	157	6	interpretable	interpretable	ADJ
cana-5163	157	7	model	model	ADJ
cana-5163	157	8	-	-	ADJ
cana-5163	157	9	agnostic	agnostic	ADJ
cana-5163	157	10	explanations	explanation	NOUN
cana-5163	157	11	(	(	PUNCT
cana-5163	157	12	lime	lime	NOUN
cana-5163	157	13	)	)	PUNCT
cana-5163	157	14	for	for	ADP
cana-5163	157	15	explainable	explainable	ADJ
cana-5163	157	16	artificial	artificial	ADJ
cana-5163	157	17	intelligence	intelligence	NOUN
cana-5163	157	18	to	to	PART
cana-5163	157	19	identify	identify	VERB
cana-5163	157	20	depression	depression	NOUN
cana-5163	157	21	and	and	CCONJ
cana-5163	157	22	suicidal	suicidal	ADJ
cana-5163	157	23	ideation	ideation	NOUN
cana-5163	157	24	.	.	PUNCT
cana-5163	158	1	the	the	DET
cana-5163	158	2	results	result	NOUN
cana-5163	158	3	of	of	ADP
cana-5163	158	4	the	the	DET
cana-5163	158	5	proposed	propose	VERB
cana-5163	158	6	ensemble	ensemble	ADJ
cana-5163	158	7	model	model	NOUN
cana-5163	158	8	were	be	AUX
cana-5163	158	9	compared	compare	VERB
cana-5163	158	10	with	with	ADP
cana-5163	158	11	those	those	PRON
cana-5163	158	12	of	of	ADP
cana-5163	158	13	cnn	cnn	PROPN
cana-5163	158	14	and	and	CCONJ
cana-5163	158	15	other	other	ADJ
cana-5163	158	16	machine	machine	NOUN
cana-5163	158	17	learning	learn	VERB
cana-5163	158	18	classifiers	classifier	NOUN
cana-5163	158	19	,	,	PUNCT
cana-5163	158	20	including	include	VERB
cana-5163	158	21	svm	svm	NOUN
cana-5163	158	22	,	,	PUNCT
cana-5163	158	23	decision	decision	NOUN
cana-5163	158	24	tree	tree	NOUN
cana-5163	158	25	(	(	PUNCT
cana-5163	158	26	dt	dt	PROPN
cana-5163	158	27	)	)	PUNCT
cana-5163	158	28	,	,	PUNCT
cana-5163	158	29	random	random	ADJ
cana-5163	158	30	forest	forest	NOUN
cana-5163	158	31	(	(	PUNCT
cana-5163	158	32	rf	rf	NOUN
cana-5163	158	33	)	)	PUNCT
cana-5163	158	34	,	,	PUNCT
cana-5163	158	35	and	and	CCONJ
cana-5163	158	36	xgboost	xgboost	X
cana-5163	158	37	.	.	PUNCT
cana-5163	159	1	the	the	DET
cana-5163	159	2	proposed	propose	VERB
cana-5163	159	3	model	model	NOUN
cana-5163	159	4	outperformed	outperform	VERB
cana-5163	159	5	the	the	DET
cana-5163	159	6	others	other	NOUN
cana-5163	159	7	,	,	PUNCT
cana-5163	159	8	achieving	achieve	VERB
cana-5163	159	9	a	a	DET
cana-5163	159	10	higher	high	ADJ
cana-5163	159	11	accuracy	accuracy	NOUN
cana-5163	159	12	of	of	ADP
cana-5163	159	13	84.77	84.77	NUM
cana-5163	159	14	%	%	NOUN
cana-5163	159	15	(	(	PUNCT
cana-5163	159	16	adarsh	adarsh	NOUN
cana-5163	159	17	,	,	PUNCT
cana-5163	159	18	arun	arun	PROPN
cana-5163	159	19	kumar	kumar	PROPN
cana-5163	159	20	,	,	PUNCT
cana-5163	159	21	lavanya	lavanya	NOUN
cana-5163	159	22	,	,	PUNCT
cana-5163	159	23	&	&	CCONJ
cana-5163	159	24	gangadharan	gangadharan	NOUN
cana-5163	159	25	,	,	PUNCT
cana-5163	159	26	2023	2023	NUM
cana-5163	159	27	)	)	PUNCT
cana-5163	159	28	.	.	PUNCT
cana-5163	160	1	s.	s.	PROPN
cana-5163	160	2	khan	khan	PROPN
cana-5163	160	3	et	et	PROPN
cana-5163	160	4	al	al	PROPN
cana-5163	160	5	.	.	PROPN
cana-5163	161	1	(	(	PUNCT
cana-5163	161	2	2024	2024	NUM
cana-5163	161	3	)	)	PUNCT
cana-5163	161	4	proposed	propose	VERB
cana-5163	161	5	four	four	NUM
cana-5163	161	6	hybrid	hybrid	ADJ
cana-5163	161	7	models	model	NOUN
cana-5163	161	8	combining	combine	VERB
cana-5163	161	9	supervised	supervised	ADJ
cana-5163	161	10	and	and	CCONJ
cana-5163	161	11	unsupervised	unsupervised	ADJ
cana-5163	161	12	techniques	technique	NOUN
cana-5163	161	13	for	for	ADP
cana-5163	161	14	detecting	detect	VERB
cana-5163	161	15	signs	sign	NOUN
cana-5163	161	16	of	of	ADP
cana-5163	161	17	depression	depression	NOUN
cana-5163	161	18	from	from	ADP
cana-5163	161	19	twitter	twitter	NOUN
cana-5163	161	20	posts	post	NOUN
cana-5163	161	21	.	.	PUNCT
cana-5163	162	1	bert	bert	PROPN
cana-5163	162	2	,	,	PUNCT
cana-5163	162	3	tf	tf	PROPN
cana-5163	162	4	-	-	PUNCT
cana-5163	162	5	idf	idf	PROPN
cana-5163	162	6	,	,	PUNCT
cana-5163	162	7	and	and	CCONJ
cana-5163	162	8	the	the	DET
cana-5163	162	9	spacy	spacy	PROPN
cana-5163	162	10	package	package	NOUN
cana-5163	162	11	were	be	AUX
cana-5163	162	12	used	use	VERB
cana-5163	162	13	as	as	ADP
cana-5163	162	14	unsupervised	unsupervised	ADJ
cana-5163	162	15	nlp	nlp	NOUN
cana-5163	162	16	techniques	technique	NOUN
cana-5163	162	17	for	for	ADP
cana-5163	162	18	feature	feature	NOUN
cana-5163	162	19	extraction	extraction	NOUN
cana-5163	162	20	,	,	PUNCT
cana-5163	162	21	while	while	SCONJ
cana-5163	162	22	artificial	artificial	ADJ
cana-5163	162	23	neural	neural	ADJ
cana-5163	162	24	networks	network	NOUN
cana-5163	162	25	(	(	PUNCT
cana-5163	162	26	ann	ann	PROPN
cana-5163	162	27	)	)	PUNCT
cana-5163	162	28	,	,	PUNCT
cana-5163	162	29	logistic	logistic	ADJ
cana-5163	162	30	regression	regression	NOUN
cana-5163	162	31	(	(	PUNCT
cana-5163	162	32	lr	lr	NOUN
cana-5163	162	33	)	)	PUNCT
cana-5163	162	34	,	,	PUNCT
cana-5163	162	35	and	and	CCONJ
cana-5163	162	36	linear	linear	ADJ
cana-5163	162	37	support	support	NOUN
cana-5163	162	38	vector	vector	NOUN
cana-5163	162	39	machine	machine	NOUN
cana-5163	162	40	(	(	PUNCT
cana-5163	162	41	svm	svm	PROPN
cana-5163	162	42	)	)	PUNCT
cana-5163	162	43	were	be	AUX
cana-5163	162	44	employed	employ	VERB
cana-5163	162	45	as	as	ADP
cana-5163	162	46	supervised	supervised	ADJ
cana-5163	162	47	classifiers	classifier	NOUN
cana-5163	162	48	.	.	PUNCT
cana-5163	163	1	model	model	NOUN
cana-5163	163	2	2	2	NUM
cana-5163	163	3	achieved	achieve	VERB
cana-5163	163	4	the	the	DET
cana-5163	163	5	highest	high	ADJ
cana-5163	163	6	accuracy	accuracy	NOUN
cana-5163	163	7	of	of	ADP
cana-5163	163	8	0.994	0.994	NUM
cana-5163	163	9	.	.	PUNCT
cana-5163	164	1	these	these	DET
cana-5163	164	2	models	model	NOUN
cana-5163	164	3	were	be	AUX
cana-5163	164	4	tested	test	VERB
cana-5163	164	5	on	on	ADP
cana-5163	164	6	the	the	DET
cana-5163	164	7	public	public	ADJ
cana-5163	164	8	sentiment	sentiment	NOUN
cana-5163	164	9	dataset	dataset	VERB
cana-5163	164	10	sourced	source	VERB
cana-5163	164	11	from	from	ADP
cana-5163	164	12	kaggle	kaggle	PROPN
cana-5163	164	13	(	(	PUNCT
cana-5163	164	14	khan	khan	PROPN
cana-5163	164	15	&	&	CCONJ
cana-5163	164	16	alqahtani	alqahtani	PROPN
cana-5163	164	17	,	,	PUNCT
cana-5163	164	18	2024	2024	NUM
cana-5163	164	19	)	)	PUNCT
cana-5163	164	20	.	.	PUNCT
cana-5163	165	1	thekkekara	thekkekara	PROPN
cana-5163	165	2	et	et	PROPN
cana-5163	165	3	al	al	PROPN
cana-5163	165	4	.	.	PROPN
cana-5163	166	1	(	(	PUNCT
cana-5163	166	2	2024	2024	NUM
cana-5163	166	3	)	)	PUNCT
cana-5163	166	4	proposed	propose	VERB
cana-5163	166	5	a	a	DET
cana-5163	166	6	deep	deep	ADJ
cana-5163	166	7	learning	learning	NOUN
cana-5163	166	8	model	model	NOUN
cana-5163	166	9	utilizing	utilize	VERB
cana-5163	166	10	an	an	DET
cana-5163	166	11	attention	attention	NOUN
cana-5163	166	12	mechanism	mechanism	NOUN
cana-5163	166	13	on	on	ADP
cana-5163	166	14	a	a	DET
cana-5163	166	15	cnnbilstm	cnnbilstm	NOUN
cana-5163	166	16	(	(	PUNCT
cana-5163	166	17	cba	cba	PROPN
cana-5163	166	18	)	)	PUNCT
cana-5163	166	19	architecture	architecture	NOUN
cana-5163	166	20	for	for	ADP
cana-5163	166	21	depression	depression	NOUN
cana-5163	166	22	detection	detection	NOUN
cana-5163	166	23	on	on	ADP
cana-5163	166	24	social	social	ADJ
cana-5163	166	25	media	medium	NOUN
cana-5163	166	26	.	.	PUNCT
cana-5163	167	1	they	they	PRON
cana-5163	167	2	conducted	conduct	VERB
cana-5163	167	3	a	a	DET
cana-5163	167	4	comparative	comparative	ADJ
cana-5163	167	5	analysis	analysis	NOUN
cana-5163	167	6	of	of	ADP
cana-5163	167	7	cba	cba	PROPN
cana-5163	167	8	,	,	PUNCT
cana-5163	167	9	cnn	cnn	PROPN
cana-5163	167	10	,	,	PUNCT
cana-5163	167	11	lstm	lstm	ADJ
cana-5163	167	12	,	,	PUNCT
cana-5163	167	13	and	and	CCONJ
cana-5163	167	14	bilstm	bilstm	NOUN
cana-5163	167	15	models	model	NOUN
cana-5163	167	16	using	use	VERB
cana-5163	167	17	the	the	DET
cana-5163	167	18	public	public	ADJ
cana-5163	167	19	clef	clef	NOUN
cana-5163	167	20	2017	2017	NUM
cana-5163	167	21	dataset	dataset	NOUN
cana-5163	167	22	.	.	PUNCT
cana-5163	168	1	the	the	DET
cana-5163	168	2	results	result	NOUN
cana-5163	168	3	showed	show	VERB
cana-5163	168	4	that	that	SCONJ
cana-5163	168	5	the	the	DET
cana-5163	168	6	cba	cba	PROPN
cana-5163	168	7	model	model	NOUN
cana-5163	168	8	outperformed	outperform	VERB
cana-5163	168	9	the	the	DET
cana-5163	168	10	state	state	NOUN
cana-5163	168	11	-	-	PUNCT
cana-5163	168	12	of	of	ADP
cana-5163	168	13	-	-	PUNCT
cana-5163	168	14	the	the	DET
cana-5163	168	15	-	-	PUNCT
cana-5163	168	16	art	art	NOUN
cana-5163	168	17	models	model	NOUN
cana-5163	168	18	based	base	VERB
cana-5163	168	19	on	on	ADP
cana-5163	168	20	auc	auc	NOUN
cana-5163	168	21	-	-	PUNCT
cana-5163	168	22	roc	roc	PROPN
cana-5163	168	23	and	and	CCONJ
cana-5163	168	24	mcc	mcc	PROPN
cana-5163	168	25	performance	performance	NOUN
cana-5163	168	26	metrics	metric	NOUN
cana-5163	168	27	(	(	PUNCT
cana-5163	168	28	philip	philip	PROPN
cana-5163	168	29	thekkekara	thekkekara	PROPN
cana-5163	168	30	,	,	PUNCT
cana-5163	168	31	yongchareon	yongchareon	NOUN
cana-5163	168	32	,	,	PUNCT
cana-5163	168	33	&	&	CCONJ
cana-5163	168	34	liesaputra	liesaputra	PROPN
cana-5163	168	35	,	,	PUNCT
cana-5163	168	36	2024	2024	NUM
cana-5163	168	37	)	)	PUNCT
cana-5163	168	38	.	.	PUNCT
cana-5163	169	1	dalal	dalal	PROPN
cana-5163	169	2	et	et	PROPN
cana-5163	169	3	al	al	PROPN
cana-5163	169	4	.	.	PROPN
cana-5163	170	1	(	(	PUNCT
cana-5163	170	2	2024	2024	NUM
cana-5163	170	3	)	)	PUNCT
cana-5163	170	4	proposed	propose	VERB
cana-5163	170	5	a	a	DET
cana-5163	170	6	cnn	cnn	PROPN
cana-5163	170	7	model	model	NOUN
cana-5163	170	8	with	with	ADP
cana-5163	170	9	multiple	multiple	ADJ
cana-5163	170	10	channels	channel	NOUN
cana-5163	170	11	,	,	PUNCT
cana-5163	170	12	called	call	VERB
cana-5163	170	13	mcnn	mcnn	NOUN
cana-5163	170	14	-	-	PUNCT
cana-5163	170	15	ia	ia	PROPN
cana-5163	170	16	,	,	PUNCT
cana-5163	170	17	which	which	PRON
cana-5163	170	18	incorporates	incorporate	VERB
cana-5163	170	19	an	an	DET
cana-5163	170	20	individual	individual	ADJ
cana-5163	170	21	attention	attention	NOUN
cana-5163	170	22	layer	layer	NOUN
cana-5163	170	23	capable	capable	ADJ
cana-5163	170	24	of	of	ADP
cana-5163	170	25	capturing	capture	VERB
cana-5163	170	26	global	global	ADJ
cana-5163	170	27	features	feature	NOUN
cana-5163	170	28	from	from	ADP
cana-5163	170	29	the	the	DET
cana-5163	170	30	local	local	ADJ
cana-5163	170	31	features	feature	NOUN
cana-5163	170	32	of	of	ADP
cana-5163	170	33	various	various	ADJ
cana-5163	170	34	context	context	NOUN
cana-5163	170	35	levels	level	NOUN
cana-5163	170	36	.	.	PUNCT
cana-5163	171	1	they	they	PRON
cana-5163	171	2	also	also	ADV
cana-5163	171	3	experimented	experiment	VERB
cana-5163	171	4	with	with	ADP
cana-5163	171	5	cnn	cnn	PROPN
cana-5163	171	6	,	,	PUNCT
cana-5163	171	7	bilstm	bilstm	NOUN
cana-5163	171	8	,	,	PUNCT
cana-5163	171	9	and	and	CCONJ
cana-5163	171	10	a	a	DET
cana-5163	171	11	simple	simple	ADJ
cana-5163	171	12	mcnn	mcnn	NOUN
cana-5163	171	13	without	without	ADP
cana-5163	171	14	the	the	DET
cana-5163	171	15	individual	individual	ADJ
cana-5163	171	16	attention	attention	NOUN
cana-5163	171	17	layer	layer	NOUN
cana-5163	171	18	.	.	PUNCT
cana-5163	172	1	the	the	DET
cana-5163	172	2	experimental	experimental	ADJ
cana-5163	172	3	results	result	NOUN
cana-5163	172	4	of	of	ADP
cana-5163	172	5	mcnn	mcnn	NOUN
cana-5163	172	6	-	-	PUNCT
cana-5163	172	7	ia	ia	PROPN
cana-5163	172	8	,	,	PUNCT
cana-5163	172	9	using	use	VERB
cana-5163	172	10	the	the	DET
cana-5163	172	11	imbalanced	imbalanced	ADJ
cana-5163	172	12	clef	clef	NOUN
cana-5163	172	13	erisk	erisk	NOUN
cana-5163	172	14	2018	2018	NUM
cana-5163	172	15	dataset	dataset	NOUN
cana-5163	172	16	,	,	PUNCT
cana-5163	172	17	demonstrated	demonstrate	VERB
cana-5163	172	18	superior	superior	ADJ
cana-5163	172	19	performance	performance	NOUN
cana-5163	172	20	,	,	PUNCT
cana-5163	172	21	achieving	achieve	VERB
cana-5163	172	22	accuracy	accuracy	NOUN
cana-5163	172	23	,	,	PUNCT
cana-5163	172	24	recall	recall	NOUN
cana-5163	172	25	,	,	PUNCT
cana-5163	172	26	and	and	CCONJ
cana-5163	172	27	f1	f1	NOUN
cana-5163	172	28	scores	score	NOUN
cana-5163	172	29	of	of	ADP
cana-5163	172	30	91	91	NUM
cana-5163	172	31	%	%	NOUN
cana-5163	172	32	,	,	PUNCT
cana-5163	172	33	76.50	76.50	NUM
cana-5163	172	34	%	%	NOUN
cana-5163	172	35	,	,	PUNCT
cana-5163	172	36	and	and	CCONJ
cana-5163	172	37	70.51	70.51	NUM
cana-5163	172	38	%	%	NOUN
cana-5163	172	39	,	,	PUNCT
cana-5163	172	40	respectively	respectively	ADV
cana-5163	172	41	,	,	PUNCT
cana-5163	172	42	compared	compare	VERB
cana-5163	172	43	to	to	ADP
cana-5163	172	44	the	the	DET
cana-5163	172	45	mcnn	mcnn	NOUN
cana-5163	172	46	model	model	NOUN
cana-5163	172	47	without	without	ADP
cana-5163	172	48	the	the	DET
cana-5163	172	49	attention	attention	NOUN
cana-5163	172	50	layer	layer	NOUN
cana-5163	172	51	(	(	PUNCT
cana-5163	172	52	dalal	dalal	PROPN
cana-5163	172	53	,	,	PUNCT
cana-5163	172	54	jain	jain	PROPN
cana-5163	172	55	,	,	PUNCT
cana-5163	172	56	&	&	CCONJ
cana-5163	172	57	dave	dave	PROPN
cana-5163	172	58	,	,	PUNCT
cana-5163	172	59	2024	2024	NUM
cana-5163	172	60	)	)	PUNCT
cana-5163	172	61	.	.	PUNCT
cana-5163	173	1	communications	communication	NOUN
cana-5163	173	2	on	on	ADP
cana-5163	173	3	applied	apply	VERB
cana-5163	173	4	nonlinear	nonlinear	ADJ
cana-5163	173	5	analysis	analysis	NOUN
cana-5163	173	6	issn	issn	NOUN
cana-5163	173	7	:	:	PUNCT
cana-5163	173	8	1074	1074	NUM
cana-5163	173	9	-	-	PUNCT
cana-5163	173	10	133x	133x	NUM
cana-5163	173	11	vol	vol	NOUN
cana-5163	173	12	32	32	NUM
cana-5163	173	13	no	no	NOUN
cana-5163	173	14	.	.	PUNCT
cana-5163	174	1	icmasd	icmasd	NOUN
cana-5163	174	2	(	(	PUNCT
cana-5163	174	3	2025	2025	NUM
cana-5163	174	4	)	)	PUNCT
cana-5163	174	5	1397	1397	NUM
cana-5163	174	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	174	7	three	three	NUM
cana-5163	174	8	different	different	ADJ
cana-5163	174	9	models	model	NOUN
cana-5163	174	10	proposed	propose	VERB
cana-5163	174	11	by	by	ADP
cana-5163	174	12	kanahuati	kanahuati	PROPN
cana-5163	174	13	-	-	PUNCT
cana-5163	174	14	ceballos	ceballos	PROPN
cana-5163	174	15	and	and	CCONJ
cana-5163	174	16	valdivia	valdivia	PROPN
cana-5163	174	17	(	(	PUNCT
cana-5163	174	18	2024	2024	NUM
cana-5163	174	19	)	)	PUNCT
cana-5163	174	20	utilized	utilize	VERB
cana-5163	174	21	rf	rf	NOUN
cana-5163	174	22	,	,	PUNCT
cana-5163	174	23	rnn	rnn	VERB
cana-5163	174	24	with	with	ADP
cana-5163	174	25	lstm	lstm	NOUN
cana-5163	174	26	and	and	CCONJ
cana-5163	174	27	rnn	rnn	VERB
cana-5163	174	28	with	with	ADP
cana-5163	174	29	bilstm	bilstm	NOUN
cana-5163	174	30	classifiers	classifier	NOUN
cana-5163	174	31	for	for	ADP
cana-5163	174	32	detecting	detect	VERB
cana-5163	174	33	depressive	depressive	ADJ
cana-5163	174	34	comments	comment	NOUN
cana-5163	174	35	in	in	ADP
cana-5163	174	36	social	social	ADJ
cana-5163	174	37	media	medium	NOUN
cana-5163	174	38	posts	post	NOUN
cana-5163	174	39	.	.	PUNCT
cana-5163	175	1	they	they	PRON
cana-5163	175	2	combined	combine	VERB
cana-5163	175	3	two	two	NUM
cana-5163	175	4	datasets	dataset	NOUN
cana-5163	175	5	,	,	PUNCT
cana-5163	175	6	sourced	source	VERB
cana-5163	175	7	from	from	ADP
cana-5163	175	8	kaggle	kaggle	PROPN
cana-5163	175	9	,	,	PUNCT
cana-5163	175	10	one	one	NUM
cana-5163	175	11	from	from	ADP
cana-5163	175	12	twitter	twitter	NOUN
cana-5163	175	13	and	and	CCONJ
cana-5163	175	14	the	the	DET
cana-5163	175	15	other	other	ADJ
cana-5163	175	16	from	from	ADP
cana-5163	175	17	reddit	reddit	NOUN
cana-5163	175	18	,	,	PUNCT
cana-5163	175	19	for	for	ADP
cana-5163	175	20	dataset	dataset	NOUN
cana-5163	175	21	selection	selection	NOUN
cana-5163	175	22	.	.	PUNCT
cana-5163	176	1	the	the	DET
cana-5163	176	2	models	model	NOUN
cana-5163	176	3	were	be	AUX
cana-5163	176	4	compared	compare	VERB
cana-5163	176	5	based	base	VERB
cana-5163	176	6	on	on	ADP
cana-5163	176	7	common	common	ADJ
cana-5163	176	8	evaluation	evaluation	NOUN
cana-5163	176	9	metrics	metric	NOUN
cana-5163	176	10	,	,	PUNCT
cana-5163	176	11	including	include	VERB
cana-5163	176	12	accuracy	accuracy	NOUN
cana-5163	176	13	,	,	PUNCT
cana-5163	176	14	recall	recall	NOUN
cana-5163	176	15	,	,	PUNCT
cana-5163	176	16	precision	precision	NOUN
cana-5163	176	17	,	,	PUNCT
cana-5163	176	18	f1	f1	NOUN
cana-5163	176	19	score	score	NOUN
cana-5163	176	20	,	,	PUNCT
cana-5163	176	21	specificity	specificity	NOUN
cana-5163	176	22	,	,	PUNCT
cana-5163	176	23	and	and	CCONJ
cana-5163	176	24	sensitivity	sensitivity	NOUN
cana-5163	176	25	.	.	PUNCT
cana-5163	177	1	additionally	additionally	ADV
cana-5163	177	2	,	,	PUNCT
cana-5163	177	3	they	they	PRON
cana-5163	177	4	employed	employ	VERB
cana-5163	177	5	the	the	DET
cana-5163	177	6	optuna	optuna	ADJ
cana-5163	177	7	optimization	optimization	NOUN
cana-5163	177	8	framework	framework	NOUN
cana-5163	177	9	on	on	ADP
cana-5163	177	10	lstm	lstm	NOUN
cana-5163	177	11	to	to	ADP
cana-5163	177	12	fine	fine	ADJ
cana-5163	177	13	-	-	PUNCT
cana-5163	177	14	tune	tune	NOUN
cana-5163	177	15	hyperparameters	hyperparameter	NOUN
cana-5163	177	16	and	and	CCONJ
cana-5163	177	17	identify	identify	VERB
cana-5163	177	18	the	the	DET
cana-5163	177	19	optimal	optimal	ADJ
cana-5163	177	20	combinations	combination	NOUN
cana-5163	177	21	for	for	ADP
cana-5163	177	22	detecting	detect	VERB
cana-5163	177	23	depressive	depressive	ADJ
cana-5163	177	24	content	content	NOUN
cana-5163	177	25	.	.	PUNCT
cana-5163	178	1	two	two	NUM
cana-5163	178	2	performance	performance	NOUN
cana-5163	178	3	metrics	metric	NOUN
cana-5163	178	4	were	be	AUX
cana-5163	178	5	evaluated	evaluate	VERB
cana-5163	178	6	:	:	PUNCT
cana-5163	178	7	the	the	DET
cana-5163	178	8	confusion	confusion	NOUN
cana-5163	178	9	matrix	matrix	NOUN
cana-5163	178	10	and	and	CCONJ
cana-5163	178	11	the	the	DET
cana-5163	178	12	roc	roc	PROPN
cana-5163	178	13	curve	curve	NOUN
cana-5163	178	14	,	,	PUNCT
cana-5163	178	15	to	to	PART
cana-5163	178	16	assess	assess	VERB
cana-5163	178	17	the	the	DET
cana-5163	178	18	optimization	optimization	NOUN
cana-5163	178	19	of	of	ADP
cana-5163	178	20	the	the	DET
cana-5163	178	21	tuned	tuned	ADJ
cana-5163	178	22	lstm	lstm	PROPN
cana-5163	178	23	model	model	NOUN
cana-5163	178	24	.	.	PUNCT
cana-5163	179	1	they	they	PRON
cana-5163	179	2	found	find	VERB
cana-5163	179	3	that	that	SCONJ
cana-5163	179	4	the	the	DET
cana-5163	179	5	tuned	tuned	ADJ
cana-5163	179	6	model	model	NOUN
cana-5163	179	7	achieved	achieve	VERB
cana-5163	179	8	higher	high	ADJ
cana-5163	179	9	precision	precision	NOUN
cana-5163	179	10	(	(	PUNCT
cana-5163	179	11	kanahuati	kanahuati	PROPN
cana-5163	179	12	-	-	PUNCT
cana-5163	179	13	ceballos	ceballos	PROPN
cana-5163	179	14	&	&	CCONJ
cana-5163	179	15	valdivia	valdivia	PROPN
cana-5163	179	16	,	,	PUNCT
cana-5163	179	17	2024	2024	NUM
cana-5163	179	18	)	)	PUNCT
cana-5163	179	19	.	.	PUNCT
cana-5163	180	1	gul	gul	PROPN
cana-5163	180	2	et	et	PROPN
cana-5163	180	3	al	al	PROPN
cana-5163	180	4	.	.	PROPN
cana-5163	181	1	(	(	PUNCT
cana-5163	181	2	2024	2024	NUM
cana-5163	181	3	)	)	PUNCT
cana-5163	181	4	proposed	propose	VERB
cana-5163	181	5	a	a	DET
cana-5163	181	6	novel	novel	ADJ
cana-5163	181	7	system	system	NOUN
cana-5163	181	8	called	call	VERB
cana-5163	181	9	doris	doris	PROPN
cana-5163	181	10	for	for	ADP
cana-5163	181	11	depression	depression	NOUN
cana-5163	181	12	detection	detection	NOUN
cana-5163	181	13	in	in	ADP
cana-5163	181	14	social	social	ADJ
cana-5163	181	15	media	medium	NOUN
cana-5163	181	16	,	,	PUNCT
cana-5163	181	17	leveraging	leverage	VERB
cana-5163	181	18	medical	medical	ADJ
cana-5163	181	19	knowledge	knowledge	NOUN
cana-5163	181	20	of	of	ADP
cana-5163	181	21	depression	depression	NOUN
cana-5163	181	22	symptoms	symptom	NOUN
cana-5163	181	23	and	and	CCONJ
cana-5163	181	24	emotional	emotional	ADJ
cana-5163	181	25	features	feature	NOUN
cana-5163	181	26	.	.	PUNCT
cana-5163	182	1	they	they	PRON
cana-5163	182	2	employed	employ	VERB
cana-5163	182	3	large	large	ADJ
cana-5163	182	4	language	language	NOUN
cana-5163	182	5	models	model	NOUN
cana-5163	182	6	(	(	PUNCT
cana-5163	182	7	llms	llm	NOUN
cana-5163	182	8	)	)	PUNCT
cana-5163	182	9	with	with	ADP
cana-5163	182	10	transformer	transformer	ADJ
cana-5163	182	11	architecture	architecture	NOUN
cana-5163	182	12	on	on	ADP
cana-5163	182	13	the	the	DET
cana-5163	182	14	public	public	ADJ
cana-5163	182	15	swdd	swdd	NOUN
cana-5163	182	16	dataset	dataset	NOUN
cana-5163	182	17	.	.	PUNCT
cana-5163	183	1	the	the	DET
cana-5163	183	2	dsm	dsm	PROPN
cana-5163	183	3	-	-	PUNCT
cana-5163	183	4	v	v	NOUN
cana-5163	183	5	diagnostic	diagnostic	ADJ
cana-5163	183	6	criteria	criterion	NOUN
cana-5163	183	7	were	be	AUX
cana-5163	183	8	used	use	VERB
cana-5163	183	9	to	to	PART
cana-5163	183	10	assess	assess	VERB
cana-5163	183	11	the	the	DET
cana-5163	183	12	depression	depression	NOUN
cana-5163	183	13	scale	scale	NOUN
cana-5163	183	14	,	,	PUNCT
cana-5163	183	15	and	and	CCONJ
cana-5163	183	16	baseline	baseline	NOUN
cana-5163	183	17	machine	machine	NOUN
cana-5163	183	18	learning	learning	NOUN
cana-5163	183	19	models	model	NOUN
cana-5163	183	20	combined	combine	VERB
cana-5163	183	21	with	with	ADP
cana-5163	183	22	nlp	nlp	NOUN
cana-5163	183	23	techniques	technique	NOUN
cana-5163	183	24	were	be	AUX
cana-5163	183	25	employed	employ	VERB
cana-5163	183	26	for	for	ADP
cana-5163	183	27	comparative	comparative	ADJ
cana-5163	183	28	analysis	analysis	NOUN
cana-5163	183	29	.	.	PUNCT
cana-5163	184	1	the	the	DET
cana-5163	184	2	evaluation	evaluation	NOUN
cana-5163	184	3	,	,	PUNCT
cana-5163	184	4	based	base	VERB
cana-5163	184	5	on	on	ADP
cana-5163	184	6	precision	precision	NOUN
cana-5163	184	7	,	,	PUNCT
cana-5163	184	8	recall	recall	NOUN
cana-5163	184	9	,	,	PUNCT
cana-5163	184	10	f1	f1	NOUN
cana-5163	184	11	score	score	NOUN
cana-5163	184	12	,	,	PUNCT
cana-5163	184	13	auroc	auroc	NOUN
cana-5163	184	14	,	,	PUNCT
cana-5163	184	15	and	and	CCONJ
cana-5163	184	16	auprc	auprc	ADJ
cana-5163	184	17	metrics	metric	NOUN
cana-5163	184	18	,	,	PUNCT
cana-5163	184	19	showed	show	VERB
cana-5163	184	20	that	that	SCONJ
cana-5163	184	21	their	their	PRON
cana-5163	184	22	model	model	NOUN
cana-5163	184	23	outperformed	outperform	VERB
cana-5163	184	24	the	the	DET
cana-5163	184	25	mood2content	mood2content	ADJ
cana-5163	184	26	model	model	NOUN
cana-5163	184	27	(	(	PUNCT
cana-5163	184	28	gül	gül	PROPN
cana-5163	184	29	,	,	PUNCT
cana-5163	184	30	lebret	lebret	NOUN
cana-5163	184	31	,	,	PUNCT
cana-5163	184	32	&	&	CCONJ
cana-5163	184	33	aberer	aberer	PROPN
cana-5163	184	34	,	,	PUNCT
cana-5163	184	35	2024	2024	NUM
cana-5163	184	36	)	)	PUNCT
cana-5163	184	37	.	.	PUNCT
cana-5163	185	1	the	the	DET
cana-5163	185	2	next	next	ADJ
cana-5163	185	3	study	study	NOUN
cana-5163	185	4	focuses	focus	VERB
cana-5163	185	5	on	on	ADP
cana-5163	185	6	detecting	detect	VERB
cana-5163	185	7	the	the	DET
cana-5163	185	8	early	early	ADJ
cana-5163	185	9	stages	stage	NOUN
cana-5163	185	10	of	of	ADP
cana-5163	185	11	depression	depression	NOUN
cana-5163	185	12	and	and	CCONJ
cana-5163	185	13	the	the	DET
cana-5163	185	14	transition	transition	NOUN
cana-5163	185	15	from	from	ADP
cana-5163	185	16	healthy	healthy	ADJ
cana-5163	185	17	to	to	ADP
cana-5163	185	18	unhealthy	unhealthy	ADJ
cana-5163	185	19	mental	mental	ADJ
cana-5163	185	20	conditions	condition	NOUN
cana-5163	185	21	in	in	ADP
cana-5163	185	22	twitter	twitter	NOUN
cana-5163	185	23	users	user	NOUN
cana-5163	185	24	.	.	PUNCT
cana-5163	186	1	authors	author	NOUN
cana-5163	186	2	alhamed	alhame	VERB
cana-5163	186	3	et	et	PROPN
cana-5163	186	4	al	al	PROPN
cana-5163	186	5	.	.	PROPN
cana-5163	187	1	(	(	PUNCT
cana-5163	187	2	2024	2024	NUM
cana-5163	187	3	)	)	PUNCT
cana-5163	187	4	collected	collect	VERB
cana-5163	187	5	data	datum	NOUN
cana-5163	187	6	from	from	ADP
cana-5163	187	7	november	november	PROPN
cana-5163	187	8	2018	2018	NUM
cana-5163	187	9	to	to	ADP
cana-5163	187	10	february	february	PROPN
cana-5163	187	11	2019	2019	NUM
cana-5163	187	12	using	use	VERB
cana-5163	187	13	specific	specific	ADJ
cana-5163	187	14	keywords	keyword	NOUN
cana-5163	187	15	to	to	PART
cana-5163	187	16	gather	gather	VERB
cana-5163	187	17	self	self	NOUN
cana-5163	187	18	-	-	PUNCT
cana-5163	187	19	reported	report	VERB
cana-5163	187	20	tweets	tweet	NOUN
cana-5163	187	21	from	from	ADP
cana-5163	187	22	depressive	depressive	ADJ
cana-5163	187	23	users	user	NOUN
cana-5163	187	24	.	.	PUNCT
cana-5163	188	1	they	they	PRON
cana-5163	188	2	then	then	ADV
cana-5163	188	3	identified	identify	VERB
cana-5163	188	4	tweets	tweet	NOUN
cana-5163	188	5	before	before	ADP
cana-5163	188	6	and	and	CCONJ
cana-5163	188	7	after	after	ADP
cana-5163	188	8	diagnosis	diagnosis	NOUN
cana-5163	188	9	from	from	ADP
cana-5163	188	10	the	the	DET
cana-5163	188	11	same	same	ADJ
cana-5163	188	12	users	user	NOUN
cana-5163	188	13	to	to	PART
cana-5163	188	14	track	track	VERB
cana-5163	188	15	changes	change	NOUN
cana-5163	188	16	in	in	ADP
cana-5163	188	17	mental	mental	ADJ
cana-5163	188	18	state	state	NOUN
cana-5163	188	19	.	.	PUNCT
cana-5163	189	1	the	the	DET
cana-5163	189	2	dataset	dataset	NOUN
cana-5163	189	3	was	be	AUX
cana-5163	189	4	used	use	VERB
cana-5163	189	5	to	to	PART
cana-5163	189	6	evaluate	evaluate	VERB
cana-5163	189	7	the	the	DET
cana-5163	189	8	performance	performance	NOUN
cana-5163	189	9	of	of	ADP
cana-5163	189	10	the	the	DET
cana-5163	189	11	following	follow	VERB
cana-5163	189	12	models	model	NOUN
cana-5163	189	13	:	:	PUNCT
cana-5163	189	14	svm	svm	ADJ
cana-5163	189	15	,	,	PUNCT
cana-5163	189	16	random	random	ADJ
cana-5163	189	17	forest	forest	NOUN
cana-5163	189	18	,	,	PUNCT
cana-5163	189	19	bert	bert	PROPN
cana-5163	189	20	,	,	PUNCT
cana-5163	189	21	roberta	roberta	PROPN
cana-5163	189	22	,	,	PUNCT
cana-5163	189	23	mentalbert	mentalbert	NOUN
cana-5163	189	24	,	,	PUNCT
cana-5163	189	25	and	and	CCONJ
cana-5163	189	26	large	large	ADJ
cana-5163	189	27	language	language	NOUN
cana-5163	189	28	models	model	NOUN
cana-5163	189	29	(	(	PUNCT
cana-5163	189	30	llms	llm	NOUN
cana-5163	189	31	)	)	PUNCT
cana-5163	189	32	such	such	ADJ
cana-5163	189	33	as	as	ADP
cana-5163	189	34	gpt-3	gpt-3	NUM
cana-5163	189	35	,	,	PUNCT
cana-5163	189	36	gpt-3.5	gpt-3.5	NOUN
cana-5163	189	37	,	,	PUNCT
cana-5163	189	38	bard	bard	ADJ
cana-5163	189	39	,	,	PUNCT
cana-5163	189	40	and	and	CCONJ
cana-5163	189	41	alpaca	alpaca	NOUN
cana-5163	189	42	.	.	PUNCT
cana-5163	190	1	the	the	DET
cana-5163	190	2	results	result	NOUN
cana-5163	190	3	showed	show	VERB
cana-5163	190	4	that	that	SCONJ
cana-5163	190	5	bert	bert	NOUN
cana-5163	190	6	,	,	PUNCT
cana-5163	190	7	mentalbert	mentalbert	ADJ
cana-5163	190	8	,	,	PUNCT
cana-5163	190	9	and	and	CCONJ
cana-5163	190	10	roberta	roberta	PROPN
cana-5163	190	11	outperformed	outperform	VERB
cana-5163	190	12	the	the	DET
cana-5163	190	13	llms	llm	NOUN
cana-5163	190	14	(	(	PUNCT
cana-5163	190	15	alhamed	alhame	VERB
cana-5163	190	16	et	et	PROPN
cana-5163	190	17	al	al	PROPN
cana-5163	190	18	.	.	PROPN
cana-5163	190	19	,	,	PUNCT
cana-5163	190	20	2024	2024	NUM
cana-5163	190	21	)	)	PUNCT
cana-5163	190	22	.	.	PUNCT
cana-5163	191	1	zhang	zhang	PROPN
cana-5163	191	2	et	et	PROPN
cana-5163	191	3	al	al	PROPN
cana-5163	191	4	.	.	PROPN
cana-5163	191	5	(	(	PUNCT
cana-5163	191	6	2024	2024	NUM
cana-5163	191	7	)	)	PUNCT
cana-5163	191	8	proposed	propose	VERB
cana-5163	191	9	a	a	DET
cana-5163	191	10	hierarchical	hierarchical	ADJ
cana-5163	191	11	transformer	transformer	NOUN
cana-5163	191	12	model	model	NOUN
cana-5163	191	13	(	(	PUNCT
cana-5163	191	14	htn	htn	PROPN
cana-5163	191	15	)	)	PUNCT
cana-5163	191	16	for	for	ADP
cana-5163	191	17	depression	depression	NOUN
cana-5163	191	18	detection	detection	NOUN
cana-5163	191	19	from	from	ADP
cana-5163	191	20	sina	sina	PROPN
cana-5163	191	21	weibo	weibo	PROPN
cana-5163	191	22	,	,	PUNCT
cana-5163	191	23	a	a	DET
cana-5163	191	24	popular	popular	ADJ
cana-5163	191	25	social	social	ADJ
cana-5163	191	26	media	medium	NOUN
cana-5163	191	27	platform	platform	NOUN
cana-5163	191	28	in	in	ADP
cana-5163	191	29	china	china	PROPN
cana-5163	191	30	.	.	PUNCT
cana-5163	192	1	this	this	DET
cana-5163	192	2	model	model	NOUN
cana-5163	192	3	was	be	AUX
cana-5163	192	4	used	use	VERB
cana-5163	192	5	to	to	PART
cana-5163	192	6	generate	generate	VERB
cana-5163	192	7	semantic	semantic	ADJ
cana-5163	192	8	representations	representation	NOUN
cana-5163	192	9	of	of	ADP
cana-5163	192	10	users	user	NOUN
cana-5163	192	11	'	'	PART
cana-5163	192	12	posts	post	NOUN
cana-5163	192	13	.	.	PUNCT
cana-5163	193	1	data	datum	NOUN
cana-5163	193	2	collection	collection	NOUN
cana-5163	193	3	was	be	AUX
cana-5163	193	4	performed	perform	VERB
cana-5163	193	5	using	use	VERB
cana-5163	193	6	two	two	NUM
cana-5163	193	7	methods	method	NOUN
cana-5163	193	8	:	:	PUNCT
cana-5163	193	9	one	one	NUM
cana-5163	193	10	involved	involve	VERB
cana-5163	193	11	directly	directly	ADV
cana-5163	193	12	searching	search	VERB
cana-5163	193	13	for	for	ADP
cana-5163	193	14	the	the	DET
cana-5163	193	15	keyword	keyword	NOUN
cana-5163	193	16	“	"	PUNCT
cana-5163	193	17	depression	depression	NOUN
cana-5163	193	18	”	"	PUNCT
cana-5163	193	19	on	on	ADP
cana-5163	193	20	weibo	weibo	NOUN
cana-5163	193	21	,	,	PUNCT
cana-5163	193	22	while	while	SCONJ
cana-5163	193	23	the	the	DET
cana-5163	193	24	second	second	ADJ
cana-5163	193	25	focused	focus	VERB
cana-5163	193	26	on	on	ADP
cana-5163	193	27	searching	search	VERB
cana-5163	193	28	other	other	ADJ
cana-5163	193	29	keywords	keyword	NOUN
cana-5163	193	30	related	relate	VERB
cana-5163	193	31	to	to	ADP
cana-5163	193	32	the	the	DET
cana-5163	193	33	broader	broad	ADJ
cana-5163	193	34	topic	topic	NOUN
cana-5163	193	35	of	of	ADP
cana-5163	193	36	depression	depression	NOUN
cana-5163	193	37	.	.	PUNCT
cana-5163	194	1	the	the	DET
cana-5163	194	2	model	model	NOUN
cana-5163	194	3	incorporated	incorporate	VERB
cana-5163	194	4	three	three	NUM
cana-5163	194	5	user	user	NOUN
cana-5163	194	6	-	-	PUNCT
cana-5163	194	7	level	level	NOUN
cana-5163	194	8	encoders	encoder	NOUN
cana-5163	194	9	:	:	PUNCT
cana-5163	194	10	one	one	NUM
cana-5163	194	11	for	for	ADP
cana-5163	194	12	word	word	NOUN
cana-5163	194	13	embedding	embed	VERB
cana-5163	194	14	,	,	PUNCT
cana-5163	194	15	another	another	PRON
cana-5163	194	16	for	for	ADP
cana-5163	194	17	post	post	NOUN
cana-5163	194	18	word	word	NOUN
cana-5163	194	19	embedding	embed	VERB
cana-5163	194	20	,	,	PUNCT
cana-5163	194	21	and	and	CCONJ
cana-5163	194	22	a	a	DET
cana-5163	194	23	third	third	NOUN
cana-5163	194	24	for	for	ADP
cana-5163	194	25	semantic	semantic	ADJ
cana-5163	194	26	aggregation	aggregation	NOUN
cana-5163	194	27	.	.	PUNCT
cana-5163	195	1	the	the	DET
cana-5163	195	2	proposed	propose	VERB
cana-5163	195	3	model	model	NOUN
cana-5163	195	4	utilized	utilize	VERB
cana-5163	195	5	a	a	DET
cana-5163	195	6	feed	feed	NOUN
cana-5163	195	7	forward	forward	ADV
cana-5163	195	8	neural	neural	ADJ
cana-5163	195	9	network	network	NOUN
cana-5163	195	10	(	(	PUNCT
cana-5163	195	11	fnn	fnn	PROPN
cana-5163	195	12	)	)	PUNCT
cana-5163	195	13	and	and	CCONJ
cana-5163	195	14	lstm	lstm	PROPN
cana-5163	195	15	,	,	PUNCT
cana-5163	195	16	both	both	CCONJ
cana-5163	195	17	with	with	ADP
cana-5163	195	18	and	and	CCONJ
cana-5163	195	19	without	without	ADP
cana-5163	195	20	attention	attention	NOUN
cana-5163	195	21	mechanisms	mechanism	NOUN
cana-5163	195	22	,	,	PUNCT
cana-5163	195	23	to	to	PART
cana-5163	195	24	generate	generate	VERB
cana-5163	195	25	user	user	NOUN
cana-5163	195	26	-	-	PUNCT
cana-5163	195	27	level	level	NOUN
cana-5163	195	28	semantic	semantic	ADJ
cana-5163	195	29	representations	representation	NOUN
cana-5163	195	30	of	of	ADP
cana-5163	195	31	depression	depression	NOUN
cana-5163	195	32	.	.	PUNCT
cana-5163	196	1	additionally	additionally	ADV
cana-5163	196	2	,	,	PUNCT
cana-5163	196	3	other	other	ADJ
cana-5163	196	4	deep	deep	ADJ
cana-5163	196	5	learning	learning	NOUN
cana-5163	196	6	classifiers	classifier	NOUN
cana-5163	196	7	,	,	PUNCT
cana-5163	196	8	including	include	VERB
cana-5163	196	9	cnn	cnn	PROPN
cana-5163	196	10	,	,	PUNCT
cana-5163	196	11	gru	gru	PROPN
cana-5163	196	12	,	,	PUNCT
cana-5163	196	13	bidirectional	bidirectional	PROPN
cana-5163	196	14	gru	gru	PROPN
cana-5163	196	15	,	,	PUNCT
cana-5163	196	16	and	and	CCONJ
cana-5163	196	17	lstm	lstm	NOUN
cana-5163	196	18	(	(	PUNCT
cana-5163	196	19	with	with	ADP
cana-5163	196	20	and	and	CCONJ
cana-5163	196	21	without	without	ADP
cana-5163	196	22	attention	attention	NOUN
cana-5163	196	23	)	)	PUNCT
cana-5163	196	24	,	,	PUNCT
cana-5163	196	25	were	be	AUX
cana-5163	196	26	employed	employ	VERB
cana-5163	196	27	for	for	ADP
cana-5163	196	28	comparison	comparison	NOUN
cana-5163	196	29	with	with	ADP
cana-5163	196	30	the	the	DET
cana-5163	196	31	proposed	propose	VERB
cana-5163	196	32	model	model	NOUN
cana-5163	196	33	,	,	PUNCT
cana-5163	196	34	using	use	VERB
cana-5163	196	35	different	different	ADJ
cana-5163	196	36	sampling	sampling	NOUN
cana-5163	196	37	strategies	strategy	NOUN
cana-5163	196	38	:	:	PUNCT
cana-5163	196	39	no	no	DET
cana-5163	196	40	sampling	sampling	NOUN
cana-5163	196	41	,	,	PUNCT
cana-5163	196	42	random	random	ADJ
cana-5163	196	43	sampling	sampling	NOUN
cana-5163	196	44	,	,	PUNCT
cana-5163	196	45	and	and	CCONJ
cana-5163	196	46	retrieval	retrieval	NOUN
cana-5163	196	47	sampling	sampling	NOUN
cana-5163	196	48	.	.	PUNCT
cana-5163	197	1	htn	htn	PROPN
cana-5163	197	2	outperformed	outperform	VERB
cana-5163	197	3	the	the	DET
cana-5163	197	4	baseline	baseline	NOUN
cana-5163	197	5	models	model	NOUN
cana-5163	197	6	,	,	PUNCT
cana-5163	197	7	achieving	achieve	VERB
cana-5163	197	8	an	an	DET
cana-5163	197	9	accuracy	accuracy	NOUN
cana-5163	197	10	of	of	ADP
cana-5163	197	11	95	95	NUM
cana-5163	197	12	%	%	NOUN
cana-5163	197	13	(	(	PUNCT
cana-5163	197	14	z.	z.	PROPN
cana-5163	197	15	zhang	zhang	PROPN
cana-5163	197	16	et	et	PROPN
cana-5163	197	17	al	al	PROPN
cana-5163	197	18	.	.	PROPN
cana-5163	197	19	,	,	PUNCT
cana-5163	197	20	2024	2024	NUM
cana-5163	197	21	)	)	PUNCT
cana-5163	197	22	.	.	PUNCT
cana-5163	198	1	the	the	DET
cana-5163	198	2	study	study	NOUN
cana-5163	198	3	presented	present	VERB
cana-5163	198	4	by	by	ADP
cana-5163	198	5	b.	b.	PROPN
cana-5163	198	6	p.	p.	PROPN
cana-5163	198	7	kumar	kumar	PROPN
cana-5163	198	8	et	et	PROPN
cana-5163	198	9	al	al	PROPN
cana-5163	198	10	.	.	PROPN
cana-5163	198	11	(	(	PUNCT
cana-5163	198	12	2024	2024	NUM
cana-5163	198	13	)	)	PUNCT
cana-5163	198	14	proposes	propose	VERB
cana-5163	198	15	an	an	DET
cana-5163	198	16	approach	approach	NOUN
cana-5163	198	17	using	use	VERB
cana-5163	198	18	bert	bert	PROPN
cana-5163	198	19	and	and	CCONJ
cana-5163	198	20	rnns	rnn	NOUN
cana-5163	198	21	to	to	PART
cana-5163	198	22	uncover	uncover	VERB
cana-5163	198	23	insights	insight	NOUN
cana-5163	198	24	through	through	ADP
cana-5163	198	25	nlp	nlp	NOUN
cana-5163	198	26	techniques	technique	NOUN
cana-5163	198	27	such	such	ADJ
cana-5163	198	28	as	as	ADP
cana-5163	198	29	semantic	semantic	ADJ
cana-5163	198	30	embedding	embedding	NOUN
cana-5163	198	31	,	,	PUNCT
cana-5163	198	32	sentiment	sentiment	NOUN
cana-5163	198	33	analysis	analysis	NOUN
cana-5163	198	34	,	,	PUNCT
cana-5163	198	35	and	and	CCONJ
cana-5163	198	36	syntactic	syntactic	ADJ
cana-5163	198	37	features	feature	NOUN
cana-5163	198	38	from	from	ADP
cana-5163	198	39	online	online	ADJ
cana-5163	198	40	debates	debate	NOUN
cana-5163	198	41	,	,	PUNCT
cana-5163	198	42	clinical	clinical	ADJ
cana-5163	198	43	notes	note	NOUN
cana-5163	198	44	,	,	PUNCT
cana-5163	198	45	and	and	CCONJ
cana-5163	198	46	social	social	ADJ
cana-5163	198	47	media	medium	NOUN
cana-5163	198	48	.	.	PUNCT
cana-5163	199	1	the	the	DET
cana-5163	199	2	proposed	propose	VERB
cana-5163	199	3	system	system	NOUN
cana-5163	199	4	collected	collect	VERB
cana-5163	199	5	twitter	twitter	NOUN
cana-5163	199	6	posts	post	NOUN
cana-5163	199	7	via	via	ADP
cana-5163	199	8	the	the	DET
cana-5163	199	9	api	api	NOUN
cana-5163	199	10	and	and	CCONJ
cana-5163	199	11	pre	pre	VERB
cana-5163	199	12	-	-	VERB
cana-5163	199	13	processed	process	VERB
cana-5163	199	14	the	the	DET
cana-5163	199	15	textual	textual	ADJ
cana-5163	199	16	data	datum	NOUN
cana-5163	199	17	by	by	ADP
cana-5163	199	18	removing	remove	VERB
cana-5163	199	19	personal	personal	ADJ
cana-5163	199	20	identifiers	identifier	NOUN
cana-5163	199	21	,	,	PUNCT
cana-5163	199	22	stop	stop	VERB
cana-5163	199	23	communications	communication	NOUN
cana-5163	199	24	on	on	ADP
cana-5163	199	25	applied	apply	VERB
cana-5163	199	26	nonlinear	nonlinear	ADJ
cana-5163	199	27	analysis	analysis	NOUN
cana-5163	199	28	issn	issn	NOUN
cana-5163	199	29	:	:	PUNCT
cana-5163	199	30	1074	1074	NUM
cana-5163	199	31	-	-	PUNCT
cana-5163	199	32	133x	133x	NUM
cana-5163	199	33	vol	vol	NOUN
cana-5163	199	34	32	32	NUM
cana-5163	199	35	no	no	NOUN
cana-5163	199	36	.	.	PUNCT
cana-5163	200	1	icmasd	icmasd	NOUN
cana-5163	200	2	(	(	PUNCT
cana-5163	200	3	2025	2025	NUM
cana-5163	200	4	)	)	PUNCT
cana-5163	200	5	1398	1398	NUM
cana-5163	200	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	200	7	words	word	NOUN
cana-5163	200	8	,	,	PUNCT
cana-5163	200	9	and	and	CCONJ
cana-5163	200	10	applying	apply	VERB
cana-5163	200	11	stemming	stemming	NOUN
cana-5163	200	12	.	.	PUNCT
cana-5163	201	1	after	after	ADP
cana-5163	201	2	pre	pre	ADJ
cana-5163	201	3	-	-	ADJ
cana-5163	201	4	processing	processing	ADJ
cana-5163	201	5	,	,	PUNCT
cana-5163	201	6	lstm	lstm	NOUN
cana-5163	201	7	was	be	AUX
cana-5163	201	8	used	use	VERB
cana-5163	201	9	for	for	ADP
cana-5163	201	10	part	part	NOUN
cana-5163	201	11	-	-	PUNCT
cana-5163	201	12	of	of	ADP
cana-5163	201	13	-	-	PUNCT
cana-5163	201	14	speech	speech	NOUN
cana-5163	201	15	(	(	PUNCT
cana-5163	201	16	pos	pos	NOUN
cana-5163	201	17	)	)	PUNCT
cana-5163	201	18	tagging	tag	VERB
cana-5163	201	19	and	and	CCONJ
cana-5163	201	20	grammatical	grammatical	ADJ
cana-5163	201	21	analysis	analysis	NOUN
cana-5163	201	22	of	of	ADP
cana-5163	201	23	the	the	DET
cana-5163	201	24	texts	text	NOUN
cana-5163	201	25	.	.	PUNCT
cana-5163	202	1	this	this	DET
cana-5163	202	2	study	study	NOUN
cana-5163	202	3	aims	aim	VERB
cana-5163	202	4	to	to	PART
cana-5163	202	5	facilitate	facilitate	VERB
cana-5163	202	6	the	the	DET
cana-5163	202	7	early	early	ADJ
cana-5163	202	8	detection	detection	NOUN
cana-5163	202	9	of	of	ADP
cana-5163	202	10	depressive	depressive	ADJ
cana-5163	202	11	symptoms	symptom	NOUN
cana-5163	202	12	in	in	ADP
cana-5163	202	13	users	user	NOUN
cana-5163	202	14	enrolled	enrol	VERB
cana-5163	202	15	in	in	ADP
cana-5163	202	16	the	the	DET
cana-5163	202	17	system	system	NOUN
cana-5163	202	18	via	via	ADP
cana-5163	202	19	the	the	DET
cana-5163	202	20	twitter	twitter	NOUN
cana-5163	202	21	api	api	NOUN
cana-5163	202	22	.	.	PUNCT
cana-5163	203	1	the	the	DET
cana-5163	203	2	code	code	NOUN
cana-5163	203	3	provided	provide	VERB
cana-5163	203	4	achieved	achieve	VERB
cana-5163	203	5	96	96	NUM
cana-5163	203	6	%	%	NOUN
cana-5163	203	7	accuracy	accuracy	NOUN
cana-5163	203	8	on	on	ADP
cana-5163	203	9	the	the	DET
cana-5163	203	10	tested	test	VERB
cana-5163	203	11	data	datum	NOUN
cana-5163	203	12	(	(	PUNCT
cana-5163	203	13	b.	b.	PROPN
cana-5163	203	14	p.	p.	PROPN
cana-5163	203	15	kumar	kumar	PROPN
cana-5163	203	16	et	et	PROPN
cana-5163	203	17	al	al	PROPN
cana-5163	203	18	.	.	PROPN
cana-5163	203	19	,	,	PUNCT
cana-5163	203	20	2024	2024	NUM
cana-5163	203	21	)	)	PUNCT
cana-5163	203	22	.	.	PUNCT
cana-5163	204	1	table	table	NOUN
cana-5163	204	2	2	2	NUM
cana-5163	204	3	:	:	PUNCT
cana-5163	204	4	review	review	NOUN
cana-5163	204	5	of	of	ADP
cana-5163	204	6	deep	deep	ADJ
cana-5163	204	7	learning	learning	NOUN
cana-5163	204	8	approaches	approach	NOUN
cana-5163	204	9	for	for	ADP
cana-5163	204	10	depression	depression	NOUN
cana-5163	204	11	detection	detection	NOUN
cana-5163	204	12	in	in	ADP
cana-5163	204	13	primary	primary	ADJ
cana-5163	204	14	studies	study	NOUN
cana-5163	204	15	.	.	PUNCT
cana-5163	205	1	references/	references/	NUM
cana-5163	205	2	authors	author	NOUN
cana-5163	205	3	ml	ml	ADP
cana-5163	205	4	/	/	SYM
cana-5163	205	5	dl	dl	PROPN
cana-5163	205	6	methods	method	NOUN
cana-5163	205	7	nlp	nlp	PROPN
cana-5163	205	8	outperformed	outperform	VERB
cana-5163	205	9	tadesse	tadesse	PROPN
cana-5163	205	10	et	et	PROPN
cana-5163	205	11	al	al	PROPN
cana-5163	205	12	.	.	PROPN
cana-5163	206	1	(	(	PUNCT
cana-5163	206	2	2019	2019	NUM
cana-5163	206	3	)	)	PUNCT
cana-5163	206	4	svm	svm	PROPN
cana-5163	206	5	,	,	PUNCT
cana-5163	206	6	rf	rf	NOUN
cana-5163	206	7	,	,	PUNCT
cana-5163	206	8	nb	nb	INTJ
cana-5163	206	9	,	,	PUNCT
cana-5163	206	10	xgboost	xgboost	X
cana-5163	207	1	lstm	lstm	PROPN
cana-5163	207	2	-	-	PUNCT
cana-5163	207	3	cnn	cnn	PROPN
cana-5163	207	4	tf	tf	PROPN
cana-5163	207	5	-	-	PUNCT
cana-5163	207	6	idf	idf	PROPN
cana-5163	207	7	,	,	PUNCT
cana-5163	207	8	bow	bow	NOUN
cana-5163	207	9	,	,	PUNCT
cana-5163	207	10	statistics	statistic	NOUN
cana-5163	207	11	and	and	CCONJ
cana-5163	207	12	word2ve	word2ve	PROPN
cana-5163	207	13	cnn	cnn	PROPN
cana-5163	207	14	-	-	PUNCT
cana-5163	207	15	lstm	lstm	PROPN
cana-5163	207	16	with	with	ADP
cana-5163	207	17	word2vec	word2vec	X
cana-5163	207	18	aswathy	aswathy	ADJ
cana-5163	207	19	et	et	PROPN
cana-5163	207	20	al	al	PROPN
cana-5163	207	21	.	.	PROPN
cana-5163	208	1	(	(	PUNCT
cana-5163	208	2	2019	2019	NUM
cana-5163	208	3	)	)	PUNCT
cana-5163	208	4	svm	svm	VERB
cana-5163	208	5	lstm	lstm	PROPN
cana-5163	208	6	-	-	PUNCT
cana-5163	208	7	cnn	cnn	PROPN
cana-5163	208	8	word2ve	word2ve	ADJ
cana-5163	208	9	lstm	lstm	PROPN
cana-5163	208	10	-	-	PUNCT
cana-5163	208	11	cnn	cnn	PROPN
cana-5163	208	12	shah	shah	PROPN
cana-5163	208	13	et	et	PROPN
cana-5163	208	14	al	al	PROPN
cana-5163	208	15	.	.	PROPN
cana-5163	209	1	(	(	PUNCT
cana-5163	209	2	2020	2020	NUM
cana-5163	209	3	)	)	PUNCT
cana-5163	209	4	bilstm	bilstm	NOUN
cana-5163	209	5	word2ve	word2ve	PROPN
cana-5163	209	6	,	,	PUNCT
cana-5163	209	7	fasttext	fasttext	PROPN
cana-5163	209	8	,	,	PUNCT
cana-5163	209	9	trai	trai	PROPN
cana-5163	209	10	nableembed	nableembed	PROPN
cana-5163	209	11	,	,	PUNCT
cana-5163	209	12	glove	glove	NOUN
cana-5163	209	13	and	and	CCONJ
cana-5163	209	14	meta	meta	ADJ
cana-5163	209	15	feature	feature	NOUN
cana-5163	209	16	word2vec+meta	word2vec+meta	PROPN
cana-5163	209	17	kumnunt	kumnunt	PROPN
cana-5163	209	18	et	et	PROPN
cana-5163	209	19	al	al	PROPN
cana-5163	209	20	.	.	PROPN
cana-5163	209	21	(	(	PUNCT
cana-5163	209	22	2020	2020	NUM
cana-5163	209	23	)	)	PUNCT
cana-5163	209	24	lr	lr	PROPN
cana-5163	209	25	,	,	PUNCT
cana-5163	209	26	svm	svm	ADJ
cana-5163	209	27	,	,	PUNCT
cana-5163	209	28	lstm	lstm	ADJ
cana-5163	209	29	,	,	PUNCT
cana-5163	209	30	cnnlstm	cnnlstm	NOUN
cana-5163	209	31	,	,	PUNCT
cana-5163	209	32	three	three	NUM
cana-5163	209	33	-	-	PUNCT
cana-5163	209	34	branch	branch	NOUN
cana-5163	209	35	cnnlstm	cnnlstm	NOUN
cana-5163	209	36	tf	tf	PROPN
cana-5163	209	37	-	-	PUNCT
cana-5163	209	38	idf	idf	PROPN
cana-5163	209	39	,	,	PUNCT
cana-5163	209	40	word2ve	word2ve	ADJ
cana-5163	209	41	three	three	NUM
cana-5163	209	42	-	-	PUNCT
cana-5163	209	43	branch	branch	NOUN
cana-5163	209	44	cnn	cnn	NOUN
cana-5163	209	45	-	-	NOUN
cana-5163	209	46	lstm	lstm	PROPN
cana-5163	209	47	with	with	ADP
cana-5163	209	48	relu	relu	NOUN
cana-5163	209	49	activation	activation	NOUN
cana-5163	209	50	function	function	NOUN
cana-5163	209	51	wongkoblap	wongkoblap	VERB
cana-5163	209	52	et	et	PROPN
cana-5163	209	53	al	al	PROPN
cana-5163	209	54	.	.	PROPN
cana-5163	210	1	(	(	PUNCT
cana-5163	210	2	2021	2021	NUM
cana-5163	210	3	)	)	PUNCT
cana-5163	210	4	mil	mil	NOUN
cana-5163	210	5	-	-	PUNCT
cana-5163	210	6	socnet	socnet	NOUN
cana-5163	210	7	,	,	PUNCT
cana-5163	210	8	milasocnet	milasocnet	NOUN
cana-5163	210	9	,	,	PUNCT
cana-5163	210	10	deep	deep	ADJ
cana-5163	210	11	learning	learn	VERB
cana-5163	210	12	word2ve	word2ve	ADV
cana-5163	210	13	,	,	PUNCT
cana-5163	210	14	topic	topic	NOUN
cana-5163	210	15	modelling	modelling	NOUN
cana-5163	210	16	,	,	PUNCT
cana-5163	210	17	user2vec	user2vec	NUM
cana-5163	210	18	,	,	PUNCT
cana-5163	210	19	liwc	liwc	ADJ
cana-5163	210	20	mila	mila	PROPN
cana-5163	210	21	-	-	PUNCT
cana-5163	210	22	socnet	socnet	NOUN
cana-5163	210	23	mendes	mende	NOUN
cana-5163	210	24	et	et	PROPN
cana-5163	210	25	al	al	PROPN
cana-5163	210	26	.	.	PROPN
cana-5163	211	1	(	(	PUNCT
cana-5163	211	2	2022	2022	NUM
cana-5163	211	3	)	)	PUNCT
cana-5163	211	4	svm	svm	PROPN
cana-5163	211	5	,	,	PUNCT
cana-5163	211	6	xgboost	xgboost	PRON
cana-5163	211	7	,	,	PUNCT
cana-5163	211	8	lr	lr	PROPN
cana-5163	211	9	bert	bert	PROPN
cana-5163	211	10	,	,	PUNCT
cana-5163	211	11	roberta	roberta	PROPN
cana-5163	211	12	,	,	PUNCT
cana-5163	211	13	mentalroberta	mentalroberta	NOUN
cana-5163	211	14	and	and	CCONJ
cana-5163	211	15	bertimbau	bertimbau	VERB
cana-5163	211	16	engineering	engineering	NOUN
cana-5163	211	17	features	feature	NOUN
cana-5163	211	18	,	,	PUNCT
cana-5163	211	19	embedding	embed	VERB
cana-5163	211	20	features	feature	NOUN
cana-5163	211	21	,	,	PUNCT
cana-5163	211	22	bert	bert	PROPN
cana-5163	211	23	,	,	PUNCT
cana-5163	211	24	roberta	roberta	PROPN
cana-5163	211	25	,	,	PUNCT
cana-5163	211	26	mentalroberta	mentalroberta	ADV
cana-5163	211	27	,	,	PUNCT
cana-5163	211	28	bertimbau	bertimbau	NOUN
cana-5163	211	29	,	,	PUNCT
cana-5163	211	30	lr	lr	X
cana-5163	211	31	(	(	PUNCT
cana-5163	211	32	engineered	engineer	VERB
cana-5163	211	33	)	)	PUNCT
cana-5163	211	34	amanat	amanat	NOUN
cana-5163	211	35	et	et	PROPN
cana-5163	211	36	al	al	PROPN
cana-5163	211	37	.	.	PROPN
cana-5163	212	1	(	(	PUNCT
cana-5163	212	2	2022	2022	NUM
cana-5163	212	3	)	)	PUNCT
cana-5163	212	4	svm	svm	PROPN
cana-5163	212	5	,	,	PUNCT
cana-5163	212	6	one	one	NUM
cana-5163	212	7	-	-	PUNCT
cana-5163	212	8	hot+	hot+	NOUN
cana-5163	212	9	svm	svm	PROPN
cana-5163	212	10	,	,	PUNCT
cana-5163	212	11	nb	nb	INTJ
cana-5163	212	12	,	,	PUNCT
cana-5163	212	13	lstm	lstm	PROPN
cana-5163	212	14	,	,	PUNCT
cana-5163	212	15	rnn	rnn	PROPN
cana-5163	212	16	,	,	PUNCT
cana-5163	212	17	cnn	cnn	PROPN
cana-5163	212	18	and	and	CCONJ
cana-5163	212	19	dbn+one	dbn+one	PROPN
cana-5163	212	20	-	-	PUNCT
cana-5163	212	21	hot	hot	ADJ
cana-5163	212	22	tf	tf	PROPN
cana-5163	212	23	-	-	PUNCT
cana-5163	212	24	idf	idf	NOUN
cana-5163	212	25	cnn+tf	cnn+tf	ADJ
cana-5163	212	26	-	-	PUNCT
cana-5163	212	27	idf	idf	PROPN
cana-5163	212	28	gupta	gupta	PROPN
cana-5163	212	29	et	et	PROPN
cana-5163	212	30	al	al	PROPN
cana-5163	212	31	.	.	PROPN
cana-5163	213	1	(	(	PUNCT
cana-5163	213	2	2022	2022	NUM
cana-5163	213	3	)	)	PUNCT
cana-5163	213	4	dt	dt	PROPN
cana-5163	213	5	,	,	PUNCT
cana-5163	213	6	knn	knn	PROPN
cana-5163	213	7	,	,	PUNCT
cana-5163	213	8	svm	svm	PROPN
cana-5163	213	9	,	,	PUNCT
cana-5163	213	10	lr	lr	NOUN
cana-5163	213	11	and	and	CCONJ
cana-5163	213	12	lstm	lstm	ADJ
cana-5163	213	13	tf	tf	PROPN
cana-5163	213	14	-	-	PUNCT
cana-5163	213	15	idf	idf	PROPN
cana-5163	213	16	lstm	lstm	PROPN
cana-5163	213	17	garcianoguez	garcianoguez	PROPN
cana-5163	213	18	et	et	PROPN
cana-5163	213	19	al	al	PROPN
cana-5163	213	20	.	.	PROPN
cana-5163	214	1	(	(	PUNCT
cana-5163	214	2	2023	2023	NUM
cana-5163	214	3	)	)	PUNCT
cana-5163	214	4	cnn	cnn	PROPN
cana-5163	214	5	and	and	CCONJ
cana-5163	214	6	xgboost	xgboost	PROPN
cana-5163	214	7	glove	glove	NOUN
cana-5163	214	8	,	,	PUNCT
cana-5163	214	9	tf	tf	PROPN
cana-5163	214	10	-	-	PUNCT
cana-5163	214	11	idf	idf	PROPN
cana-5163	214	12	cnn	cnn	PROPN
cana-5163	214	13	with	with	ADP
cana-5163	214	14	glove	glove	NOUN
cana-5163	214	15	communications	communication	NOUN
cana-5163	214	16	on	on	ADP
cana-5163	214	17	applied	apply	VERB
cana-5163	214	18	nonlinear	nonlinear	ADJ
cana-5163	214	19	analysis	analysis	NOUN
cana-5163	214	20	issn	issn	NOUN
cana-5163	214	21	:	:	PUNCT
cana-5163	214	22	1074	1074	NUM
cana-5163	214	23	-	-	PUNCT
cana-5163	214	24	133x	133x	NUM
cana-5163	214	25	vol	vol	NOUN
cana-5163	214	26	32	32	NUM
cana-5163	214	27	no	no	NOUN
cana-5163	214	28	.	.	PUNCT
cana-5163	215	1	icmasd	icmasd	NOUN
cana-5163	215	2	(	(	PUNCT
cana-5163	215	3	2025	2025	NUM
cana-5163	215	4	)	)	PUNCT
cana-5163	215	5	1399	1399	NUM
cana-5163	215	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	215	7	apriliani	apriliani	PROPN
cana-5163	215	8	et	et	PROPN
cana-5163	215	9	al	al	PROPN
cana-5163	215	10	.	.	PROPN
cana-5163	216	1	(	(	PUNCT
cana-5163	216	2	2023	2023	NUM
cana-5163	216	3	)	)	PUNCT
cana-5163	216	4	xlnet	xlnet	PROPN
cana-5163	216	5	tokenization	tokenization	NOUN
cana-5163	216	6	,	,	PUNCT
cana-5163	216	7	stemming	stem	VERB
cana-5163	216	8	xlnet	xlnet	PROPN
cana-5163	216	9	a	a	DET
cana-5163	216	10	kumar	kumar	PROPN
cana-5163	216	11	et	et	PROPN
cana-5163	216	12	al	al	PROPN
cana-5163	216	13	.	.	PROPN
cana-5163	217	1	(	(	PUNCT
cana-5163	217	2	2023	2023	NUM
cana-5163	217	3	)	)	PUNCT
cana-5163	217	4	rf	rf	PROPN
cana-5163	217	5	,	,	PUNCT
cana-5163	217	6	knn	knn	PROPN
cana-5163	217	7	,	,	PUNCT
cana-5163	217	8	nb	nb	INTJ
cana-5163	217	9	,	,	PUNCT
cana-5163	217	10	gb	gb	PROPN
cana-5163	217	11	and	and	CCONJ
cana-5163	217	12	dt	dt	PROPN
cana-5163	217	13	,	,	PUNCT
cana-5163	217	14	bert	bert	PROPN
cana-5163	217	15	and	and	CCONJ
cana-5163	217	16	bilstm	bilstm	NOUN
cana-5163	217	17	pipeline	pipeline	PROPN
cana-5163	217	18	tf	tf	PROPN
cana-5163	217	19	-	-	PUNCT
cana-5163	217	20	idf	idf	PROPN
cana-5163	217	21	roberta	roberta	PROPN
cana-5163	217	22	bokolo	bokolo	PROPN
cana-5163	217	23	et	et	PROPN
cana-5163	217	24	al	al	PROPN
cana-5163	217	25	.	.	PROPN
cana-5163	218	1	(	(	PUNCT
cana-5163	218	2	2023	2023	NUM
cana-5163	218	3	)	)	PUNCT
cana-5163	218	4	lr	lr	NOUN
cana-5163	218	5	,	,	PUNCT
cana-5163	218	6	bernoulli	bernoulli	PROPN
cana-5163	218	7	nb	nb	PROPN
cana-5163	218	8	,	,	PUNCT
cana-5163	218	9	rfroberta	rfroberta	PROPN
cana-5163	218	10	,	,	PUNCT
cana-5163	218	11	squeezebarta	squeezebarta	PROPN
cana-5163	218	12	,	,	PUNCT
cana-5163	218	13	distibert	distibert	VERB
cana-5163	218	14	and	and	CCONJ
cana-5163	218	15	deberta	deberta	PROPN
cana-5163	218	16	tf	tf	PROPN
cana-5163	218	17	-	-	PUNCT
cana-5163	218	18	idf	idf	PROPN
cana-5163	218	19	roberta	roberta	PROPN
cana-5163	218	20	adarsh	adarsh	PROPN
cana-5163	218	21	et	et	PROPN
cana-5163	218	22	al	al	PROPN
cana-5163	218	23	.	.	PROPN
cana-5163	219	1	(	(	PUNCT
cana-5163	219	2	2023	2023	NUM
cana-5163	219	3	)	)	PUNCT
cana-5163	219	4	svm	svm	ADJ
cana-5163	219	5	-	-	PUNCT
cana-5163	219	6	knn	knn	ADJ
cana-5163	219	7	ensemble	ensemble	ADJ
cana-5163	219	8	svm	svm	PROPN
cana-5163	219	9	,	,	PUNCT
cana-5163	219	10	dt	dt	X
cana-5163	219	11	,	,	PUNCT
cana-5163	219	12	rf	rf	ADJ
cana-5163	219	13	,	,	PUNCT
cana-5163	219	14	xgboost	xgboost	PROPN
cana-5163	219	15	,	,	PUNCT
cana-5163	219	16	cnn	cnn	PROPN
cana-5163	219	17	tf	tf	PROPN
cana-5163	219	18	-	-	PUNCT
cana-5163	219	19	idf	idf	PROPN
cana-5163	219	20	svm	svm	PROPN
cana-5163	219	21	-	-	PROPN
cana-5163	219	22	knn	knn	PROPN
cana-5163	219	23	s.	s.	PROPN
cana-5163	219	24	khan	khan	PROPN
cana-5163	219	25	et	et	PROPN
cana-5163	219	26	al	al	PROPN
cana-5163	219	27	.	.	PROPN
cana-5163	220	1	(	(	PUNCT
cana-5163	220	2	2024	2024	NUM
cana-5163	220	3	)	)	PUNCT
cana-5163	220	4	ann	ann	PROPN
cana-5163	220	5	,	,	PUNCT
cana-5163	220	6	lr	lr	PROPN
cana-5163	220	7	,	,	PUNCT
cana-5163	220	8	linear	linear	PROPN
cana-5163	220	9	svm	svm	PROPN
cana-5163	220	10	,	,	PUNCT
cana-5163	220	11	bert	bert	PROPN
cana-5163	220	12	tf	tf	PROPN
cana-5163	220	13	-	-	PUNCT
cana-5163	220	14	idf	idf	PROPN
cana-5163	220	15	and	and	CCONJ
cana-5163	220	16	spacy	spacy	PROPN
cana-5163	220	17	package	package	NOUN
cana-5163	220	18	lr	lr	X
cana-5163	220	19	+	+	CCONJ
cana-5163	220	20	tf	tf	PROPN
cana-5163	220	21	-	-	PUNCT
cana-5163	220	22	idf	idf	PROPN
cana-5163	220	23	thekkekara	thekkekara	PROPN
cana-5163	220	24	et	et	PROPN
cana-5163	220	25	al	al	PROPN
cana-5163	220	26	.	.	PROPN
cana-5163	221	1	(	(	PUNCT
cana-5163	221	2	2024	2024	NUM
cana-5163	221	3	)	)	PUNCT
cana-5163	221	4	cnn	cnn	PROPN
cana-5163	221	5	,	,	PUNCT
cana-5163	221	6	lstm	lstm	PROPN
cana-5163	221	7	,	,	PUNCT
cana-5163	221	8	bilstm	bilstm	NOUN
cana-5163	221	9	cnn	cnn	PROPN
cana-5163	221	10	-	-	PUNCT
cana-5163	221	11	bilstm	bilstm	NOUN
cana-5163	221	12	(	(	PUNCT
cana-5163	221	13	cba	cba	PROPN
cana-5163	221	14	)	)	PUNCT
cana-5163	221	15	tokenization	tokenization	NOUN
cana-5163	221	16	cnn	cnn	PROPN
cana-5163	221	17	-	-	PUNCT
cana-5163	221	18	bilstm	bilstm	NOUN
cana-5163	221	19	(	(	PUNCT
cana-5163	221	20	cba	cba	PROPN
cana-5163	221	21	)	)	PUNCT
cana-5163	221	22	dalal	dalal	PROPN
cana-5163	221	23	et	et	PROPN
cana-5163	221	24	al	al	PROPN
cana-5163	221	25	(	(	PUNCT
cana-5163	221	26	2024	2024	NUM
cana-5163	221	27	)	)	PUNCT
cana-5163	221	28	cnn	cnn	PROPN
cana-5163	221	29	,	,	PUNCT
cana-5163	221	30	bilstm	bilstm	NOUN
cana-5163	221	31	and	and	CCONJ
cana-5163	221	32	mcnn(ia	mcnn(ia	PROPN
cana-5163	221	33	)	)	PUNCT
cana-5163	221	34	glove	glove	NOUN
cana-5163	221	35	mcnn	mcnn	PROPN
cana-5163	221	36	(	(	PUNCT
cana-5163	221	37	ia	ia	PROPN
cana-5163	221	38	)	)	PUNCT
cana-5163	221	39	kanahuaticeballos	kanahuaticeballos	PROPN
cana-5163	221	40	&	&	CCONJ
cana-5163	221	41	valdivia	valdivia	PROPN
cana-5163	221	42	(	(	PUNCT
cana-5163	221	43	2024	2024	NUM
cana-5163	221	44	)	)	PUNCT
cana-5163	221	45	rnn	rnn	NOUN
cana-5163	221	46	-	-	PUNCT
cana-5163	221	47	lstm	lstm	PROPN
cana-5163	221	48	,	,	PUNCT
cana-5163	221	49	rnnbilstm	rnnbilstm	NOUN
cana-5163	221	50	,	,	PUNCT
cana-5163	221	51	optimized	optimize	VERB
cana-5163	221	52	finetuned	finetune	VERB
cana-5163	221	53	lstm	lstm	NOUN
cana-5163	221	54	tokenization	tokenization	NOUN
cana-5163	221	55	,	,	PUNCT
cana-5163	221	56	lemmatization	lemmatization	NOUN
cana-5163	221	57	optimized	optimize	VERB
cana-5163	221	58	finetuned	finetune	VERB
cana-5163	221	59	lstm	lstm	ADJ
cana-5163	221	60	gul	gul	PROPN
cana-5163	221	61	et	et	PROPN
cana-5163	221	62	al	al	PROPN
cana-5163	221	63	.	.	PROPN
cana-5163	222	1	(	(	PUNCT
cana-5163	222	2	2024	2024	NUM
cana-5163	222	3	)	)	PUNCT
cana-5163	222	4	doris	doris	PROPN
cana-5163	222	5	,	,	PUNCT
cana-5163	222	6	xgboost	xgboost	PROPN
cana-5163	222	7	,	,	PUNCT
cana-5163	222	8	bert	bert	PROPN
cana-5163	222	9	,	,	PUNCT
cana-5163	222	10	roberta	roberta	PROPN
cana-5163	222	11	,	,	PUNCT
cana-5163	222	12	mood2content	mood2content	PROPN
cana-5163	222	13	,	,	PUNCT
cana-5163	222	14	mentalllama	mentalllama	NOUN
cana-5163	222	15	tf	tf	PROPN
cana-5163	222	16	-	-	PUNCT
cana-5163	222	17	idf	idf	PROPN
cana-5163	222	18	and	and	CCONJ
cana-5163	222	19	fasttext	fasttext	PROPN
cana-5163	222	20	doris	doris	PROPN
cana-5163	222	21	alhamed	alhame	VERB
cana-5163	222	22	et	et	PROPN
cana-5163	222	23	al	al	PROPN
cana-5163	222	24	.	.	PROPN
cana-5163	223	1	(	(	PUNCT
cana-5163	223	2	2024	2024	NUM
cana-5163	223	3	)	)	PUNCT
cana-5163	223	4	svm	svm	ADJ
cana-5163	223	5	,	,	PUNCT
cana-5163	223	6	random	random	ADJ
cana-5163	223	7	forests	forest	NOUN
cana-5163	223	8	,	,	PUNCT
cana-5163	223	9	bert	bert	PROPN
cana-5163	223	10	,	,	PUNCT
cana-5163	223	11	roberta	roberta	PROPN
cana-5163	223	12	,	,	PUNCT
cana-5163	223	13	mentalbert	mentalbert	PROPN
cana-5163	223	14	,	,	PUNCT
cana-5163	223	15	llms	llm	NOUN
cana-5163	223	16	:	:	PUNCT
cana-5163	223	17	gpt3	gpt3	NOUN
cana-5163	223	18	,	,	PUNCT
cana-5163	223	19	gpt-3.5	gpt-3.5	NOUN
cana-5163	223	20	,	,	PUNCT
cana-5163	223	21	bard	bard	ADJ
cana-5163	223	22	,	,	PUNCT
cana-5163	223	23	alpaca	alpaca	NOUN
cana-5163	223	24	and	and	CCONJ
cana-5163	223	25	han	han	PROPN
cana-5163	223	26	tf	tf	PROPN
cana-5163	223	27	-	-	PROPN
cana-5163	223	28	idf	idf	PROPN
cana-5163	223	29	roberta	roberta	PROPN
cana-5163	223	30	and	and	CCONJ
cana-5163	223	31	mentalbert	mentalbert	PROPN
cana-5163	223	32	zhang	zhang	PROPN
cana-5163	223	33	et	et	PROPN
cana-5163	223	34	al	al	PROPN
cana-5163	223	35	.	.	PROPN
cana-5163	224	1	(	(	PUNCT
cana-5163	224	2	2024	2024	NUM
cana-5163	224	3	)	)	PUNCT
cana-5163	224	4	cnn	cnn	PROPN
cana-5163	224	5	,	,	PUNCT
cana-5163	224	6	gru	gru	PROPN
cana-5163	224	7	,	,	PUNCT
cana-5163	224	8	bidirectional	bidirectional	PROPN
cana-5163	224	9	gru	gru	PROPN
cana-5163	224	10	,	,	PUNCT
cana-5163	224	11	lstm	lstm	NOUN
cana-5163	224	12	with	with	ADP
cana-5163	224	13	and	and	CCONJ
cana-5163	224	14	without	without	ADP
cana-5163	224	15	attention	attention	NOUN
cana-5163	224	16	and	and	CCONJ
cana-5163	224	17	htn	htn	PROPN
cana-5163	224	18	tokenization	tokenization	NOUN
cana-5163	224	19	htn	htn	NOUN
cana-5163	224	20	communications	communication	NOUN
cana-5163	224	21	on	on	ADP
cana-5163	224	22	applied	apply	VERB
cana-5163	224	23	nonlinear	nonlinear	ADJ
cana-5163	224	24	analysis	analysis	NOUN
cana-5163	224	25	issn	issn	NOUN
cana-5163	224	26	:	:	PUNCT
cana-5163	224	27	1074	1074	NUM
cana-5163	224	28	-	-	PUNCT
cana-5163	224	29	133x	133x	NUM
cana-5163	224	30	vol	vol	NOUN
cana-5163	224	31	32	32	NUM
cana-5163	224	32	no	no	NOUN
cana-5163	224	33	.	.	PUNCT
cana-5163	225	1	icmasd	icmasd	NOUN
cana-5163	225	2	(	(	PUNCT
cana-5163	225	3	2025	2025	NUM
cana-5163	225	4	)	)	PUNCT
cana-5163	225	5	1400	1400	NUM
cana-5163	225	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	225	7	4.2	4.2	NUM
cana-5163	225	8	review	review	NOUN
cana-5163	225	9	of	of	ADP
cana-5163	225	10	survey	survey	NOUN
cana-5163	225	11	studies	study	NOUN
cana-5163	225	12	we	we	PRON
cana-5163	225	13	added	add	VERB
cana-5163	225	14	some	some	DET
cana-5163	225	15	secondary	secondary	ADJ
cana-5163	225	16	studies	study	NOUN
cana-5163	225	17	in	in	ADP
cana-5163	225	18	this	this	DET
cana-5163	225	19	review	review	NOUN
cana-5163	225	20	to	to	PART
cana-5163	225	21	analyse	analyse	VERB
cana-5163	225	22	the	the	DET
cana-5163	225	23	growth	growth	NOUN
cana-5163	225	24	of	of	ADP
cana-5163	225	25	deep	deep	ADJ
cana-5163	225	26	learning	learning	NOUN
cana-5163	225	27	and	and	CCONJ
cana-5163	225	28	natural	natural	ADJ
cana-5163	225	29	language	language	NOUN
cana-5163	225	30	processing	processing	NOUN
cana-5163	225	31	techniques	technique	NOUN
cana-5163	225	32	in	in	ADP
cana-5163	225	33	last	last	ADJ
cana-5163	225	34	few	few	ADJ
cana-5163	225	35	years	year	NOUN
cana-5163	225	36	.	.	PUNCT
cana-5163	226	1	william	william	PROPN
cana-5163	226	2	et	et	PROPN
cana-5163	226	3	al	al	PROPN
cana-5163	226	4	.	.	PROPN
cana-5163	226	5	(	(	PUNCT
cana-5163	226	6	2021	2021	NUM
cana-5163	226	7	)	)	PUNCT
cana-5163	226	8	conducted	conduct	VERB
cana-5163	226	9	a	a	DET
cana-5163	226	10	systematic	systematic	ADJ
cana-5163	226	11	review	review	NOUN
cana-5163	226	12	of	of	ADP
cana-5163	226	13	deep	deep	ADJ
cana-5163	226	14	learning	learning	NOUN
cana-5163	226	15	models	model	NOUN
cana-5163	226	16	for	for	ADP
cana-5163	226	17	depression	depression	NOUN
cana-5163	226	18	detection	detection	NOUN
cana-5163	226	19	from	from	ADP
cana-5163	226	20	social	social	ADJ
cana-5163	226	21	media	medium	NOUN
cana-5163	226	22	textual	textual	ADJ
cana-5163	226	23	posts	post	NOUN
cana-5163	226	24	.	.	PUNCT
cana-5163	227	1	they	they	PRON
cana-5163	227	2	found	find	VERB
cana-5163	227	3	a	a	DET
cana-5163	227	4	limited	limited	ADJ
cana-5163	227	5	amount	amount	NOUN
cana-5163	227	6	of	of	ADP
cana-5163	227	7	research	research	NOUN
cana-5163	227	8	focused	focus	VERB
cana-5163	227	9	on	on	ADP
cana-5163	227	10	textual	textual	ADJ
cana-5163	227	11	data	datum	NOUN
cana-5163	227	12	for	for	ADP
cana-5163	227	13	depression	depression	NOUN
cana-5163	227	14	detection	detection	NOUN
cana-5163	227	15	.	.	PUNCT
cana-5163	228	1	a	a	DET
cana-5163	228	2	total	total	NOUN
cana-5163	228	3	of	of	ADP
cana-5163	228	4	1,548	1,548	NUM
cana-5163	228	5	records	record	NOUN
cana-5163	228	6	were	be	AUX
cana-5163	228	7	retrieved	retrieve	VERB
cana-5163	228	8	from	from	ADP
cana-5163	228	9	well	well	ADV
cana-5163	228	10	-	-	PUNCT
cana-5163	228	11	known	know	VERB
cana-5163	228	12	databases	database	NOUN
cana-5163	228	13	,	,	PUNCT
cana-5163	228	14	and	and	CCONJ
cana-5163	228	15	709	709	NUM
cana-5163	228	16	were	be	AUX
cana-5163	228	17	screened	screen	VERB
cana-5163	228	18	,	,	PUNCT
cana-5163	228	19	with	with	ADP
cana-5163	228	20	83	83	NUM
cana-5163	228	21	full	full	ADJ
cana-5163	228	22	papers	paper	NOUN
cana-5163	228	23	considered	consider	VERB
cana-5163	228	24	for	for	ADP
cana-5163	228	25	eligibility	eligibility	NOUN
cana-5163	228	26	.	.	PUNCT
cana-5163	229	1	ultimately	ultimately	ADV
cana-5163	229	2	,	,	PUNCT
cana-5163	229	3	17	17	NUM
cana-5163	229	4	studies	study	NOUN
cana-5163	229	5	were	be	AUX
cana-5163	229	6	included	include	VERB
cana-5163	229	7	in	in	ADP
cana-5163	229	8	the	the	DET
cana-5163	229	9	synthesis	synthesis	NOUN
cana-5163	229	10	.	.	PUNCT
cana-5163	230	1	the	the	DET
cana-5163	230	2	review	review	NOUN
cana-5163	230	3	identified	identify	VERB
cana-5163	230	4	that	that	SCONJ
cana-5163	230	5	lstm	lstm	PROPN
cana-5163	230	6	was	be	AUX
cana-5163	230	7	initially	initially	ADV
cana-5163	230	8	used	use	VERB
cana-5163	230	9	alongside	alongside	ADP
cana-5163	230	10	machine	machine	NOUN
cana-5163	230	11	learning	learn	VERB
cana-5163	230	12	algorithms	algorithm	NOUN
cana-5163	230	13	such	such	ADJ
cana-5163	230	14	as	as	ADP
cana-5163	230	15	svm	svm	ADJ
cana-5163	230	16	and	and	CCONJ
cana-5163	230	17	naive	naive	ADJ
cana-5163	230	18	bayes	bayes	NOUN
cana-5163	230	19	(	(	PUNCT
cana-5163	230	20	nb	nb	NOUN
cana-5163	230	21	)	)	PUNCT
cana-5163	230	22	.	.	PUNCT
cana-5163	231	1	later	later	ADV
cana-5163	231	2	,	,	PUNCT
cana-5163	231	3	bilstm	bilstm	NOUN
cana-5163	231	4	and	and	CCONJ
cana-5163	231	5	attention	attention	NOUN
cana-5163	231	6	-	-	PUNCT
cana-5163	231	7	based	base	VERB
cana-5163	231	8	lstm	lstm	NOUN
cana-5163	231	9	models	model	NOUN
cana-5163	231	10	emerged	emerge	VERB
cana-5163	231	11	,	,	PUNCT
cana-5163	231	12	incorporating	incorporate	VERB
cana-5163	231	13	more	more	ADV
cana-5163	231	14	advanced	advanced	ADJ
cana-5163	231	15	features	feature	NOUN
cana-5163	231	16	.	.	PUNCT
cana-5163	232	1	ensemble	ensemble	ADJ
cana-5163	232	2	models	model	NOUN
cana-5163	232	3	combining	combine	VERB
cana-5163	232	4	rnn	rnn	PROPN
cana-5163	232	5	,	,	PUNCT
cana-5163	232	6	cnn	cnn	PROPN
cana-5163	232	7	with	with	ADP
cana-5163	232	8	lstm	lstm	PROPN
cana-5163	232	9	,	,	PUNCT
cana-5163	232	10	and	and	CCONJ
cana-5163	232	11	bilstm	bilstm	NOUN
cana-5163	232	12	enhanced	enhance	VERB
cana-5163	232	13	feature	feature	NOUN
cana-5163	232	14	extraction	extraction	NOUN
cana-5163	232	15	,	,	PUNCT
cana-5163	232	16	as	as	SCONJ
cana-5163	232	17	these	these	DET
cana-5163	232	18	models	model	NOUN
cana-5163	232	19	utilized	utilize	VERB
cana-5163	232	20	feed	feed	VERB
cana-5163	232	21	forward	forward	ADV
cana-5163	232	22	neural	neural	ADJ
cana-5163	232	23	networks	network	NOUN
cana-5163	232	24	for	for	ADP
cana-5163	232	25	bidirectional	bidirectional	ADJ
cana-5163	232	26	sequential	sequential	ADJ
cana-5163	232	27	interpretation	interpretation	NOUN
cana-5163	232	28	of	of	ADP
cana-5163	232	29	words	word	NOUN
cana-5163	232	30	and	and	CCONJ
cana-5163	232	31	sentences	sentence	NOUN
cana-5163	232	32	,	,	PUNCT
cana-5163	232	33	even	even	ADV
cana-5163	232	34	with	with	ADP
cana-5163	232	35	large	large	ADJ
cana-5163	232	36	datasets	dataset	NOUN
cana-5163	232	37	.	.	PUNCT
cana-5163	233	1	the	the	DET
cana-5163	233	2	review	review	NOUN
cana-5163	233	3	also	also	ADV
cana-5163	233	4	highlighted	highlight	VERB
cana-5163	233	5	that	that	SCONJ
cana-5163	233	6	the	the	DET
cana-5163	233	7	bert	bert	PROPN
cana-5163	233	8	transformer	transformer	NOUN
cana-5163	233	9	model	model	NOUN
cana-5163	233	10	has	have	AUX
cana-5163	233	11	become	become	VERB
cana-5163	233	12	widely	widely	ADV
cana-5163	233	13	used	use	VERB
cana-5163	233	14	due	due	ADP
cana-5163	233	15	to	to	ADP
cana-5163	233	16	its	its	PRON
cana-5163	233	17	selfattention	selfattention	NOUN
cana-5163	233	18	mechanism	mechanism	NOUN
cana-5163	233	19	,	,	PUNCT
cana-5163	233	20	which	which	PRON
cana-5163	233	21	is	be	AUX
cana-5163	233	22	fine	fine	ADV
cana-5163	233	23	-	-	PUNCT
cana-5163	233	24	tuned	tune	VERB
cana-5163	233	25	for	for	ADP
cana-5163	233	26	automatic	automatic	ADJ
cana-5163	233	27	feature	feature	NOUN
cana-5163	233	28	detection	detection	NOUN
cana-5163	233	29	(	(	PUNCT
cana-5163	233	30	william	william	PROPN
cana-5163	233	31	&	&	CCONJ
cana-5163	233	32	suhartono	suhartono	PROPN
cana-5163	233	33	,	,	PUNCT
cana-5163	233	34	2021	2021	NUM
cana-5163	233	35	)	)	PUNCT
cana-5163	233	36	.	.	PUNCT
cana-5163	234	1	a	a	DET
cana-5163	234	2	systematic	systematic	ADJ
cana-5163	234	3	literature	literature	NOUN
cana-5163	234	4	review	review	NOUN
cana-5163	234	5	(	(	PUNCT
cana-5163	234	6	slr	slr	X
cana-5163	234	7	)	)	PUNCT
cana-5163	234	8	conducted	conduct	VERB
cana-5163	234	9	by	by	ADP
cana-5163	234	10	salas	salas	PROPN
cana-5163	234	11	-	-	PUNCT
cana-5163	234	12	zarate	zarate	PROPN
cana-5163	234	13	et	et	PROPN
cana-5163	234	14	al	al	PROPN
cana-5163	234	15	.	.	PROPN
cana-5163	234	16	(	(	PUNCT
cana-5163	234	17	2022	2022	NUM
cana-5163	234	18	)	)	PUNCT
cana-5163	234	19	screened	screen	VERB
cana-5163	234	20	192	192	NUM
cana-5163	234	21	studies	study	NOUN
cana-5163	234	22	published	publish	VERB
cana-5163	234	23	between	between	ADP
cana-5163	234	24	2016	2016	NUM
cana-5163	234	25	and	and	CCONJ
cana-5163	234	26	mid-2021	mid-2021	NOUN
cana-5163	234	27	.	.	PUNCT
cana-5163	235	1	out	out	ADP
cana-5163	235	2	of	of	ADP
cana-5163	235	3	these	these	PRON
cana-5163	235	4	,	,	PUNCT
cana-5163	235	5	34	34	NUM
cana-5163	235	6	full	full	ADJ
cana-5163	235	7	-	-	PUNCT
cana-5163	235	8	text	text	NOUN
cana-5163	235	9	primary	primary	ADJ
cana-5163	235	10	studies	study	NOUN
cana-5163	235	11	were	be	AUX
cana-5163	235	12	selected	select	VERB
cana-5163	235	13	for	for	ADP
cana-5163	235	14	review	review	NOUN
cana-5163	235	15	to	to	PART
cana-5163	235	16	address	address	VERB
cana-5163	235	17	their	their	PRON
cana-5163	235	18	research	research	NOUN
cana-5163	235	19	questions	question	NOUN
cana-5163	235	20	related	relate	VERB
cana-5163	235	21	to	to	ADP
cana-5163	235	22	depression	depression	NOUN
cana-5163	235	23	detection	detection	NOUN
cana-5163	235	24	in	in	ADP
cana-5163	235	25	social	social	ADJ
cana-5163	235	26	media	medium	NOUN
cana-5163	235	27	.	.	PUNCT
cana-5163	236	1	the	the	DET
cana-5163	236	2	study	study	NOUN
cana-5163	236	3	aimed	aim	VERB
cana-5163	236	4	to	to	PART
cana-5163	236	5	gain	gain	VERB
cana-5163	236	6	insights	insight	NOUN
cana-5163	236	7	into	into	ADP
cana-5163	236	8	machine	machine	NOUN
cana-5163	236	9	learning	learning	NOUN
cana-5163	236	10	techniques	technique	NOUN
cana-5163	236	11	,	,	PUNCT
cana-5163	236	12	linguistic	linguistic	ADJ
cana-5163	236	13	feature	feature	NOUN
cana-5163	236	14	extraction	extraction	NOUN
cana-5163	236	15	methods	method	NOUN
cana-5163	236	16	,	,	PUNCT
cana-5163	236	17	computing	computing	NOUN
cana-5163	236	18	tools	tool	NOUN
cana-5163	236	19	,	,	PUNCT
cana-5163	236	20	and	and	CCONJ
cana-5163	236	21	statistical	statistical	ADJ
cana-5163	236	22	tools	tool	NOUN
cana-5163	236	23	used	use	VERB
cana-5163	236	24	in	in	ADP
cana-5163	236	25	this	this	DET
cana-5163	236	26	field	field	NOUN
cana-5163	236	27	.	.	PUNCT
cana-5163	237	1	as	as	ADP
cana-5163	237	2	a	a	DET
cana-5163	237	3	result	result	NOUN
cana-5163	237	4	,	,	PUNCT
cana-5163	237	5	they	they	PRON
cana-5163	237	6	found	find	VERB
cana-5163	237	7	that	that	SCONJ
cana-5163	237	8	svm	svm	PROPN
cana-5163	237	9	was	be	AUX
cana-5163	237	10	the	the	DET
cana-5163	237	11	most	most	ADV
cana-5163	237	12	commonly	commonly	ADV
cana-5163	237	13	used	use	VERB
cana-5163	237	14	classifier	classifier	NOUN
cana-5163	237	15	,	,	PUNCT
cana-5163	237	16	word	word	NOUN
cana-5163	237	17	embedding	embed	VERB
cana-5163	237	18	was	be	AUX
cana-5163	237	19	the	the	DET
cana-5163	237	20	predominant	predominant	ADJ
cana-5163	237	21	feature	feature	NOUN
cana-5163	237	22	extraction	extraction	NOUN
cana-5163	237	23	method	method	NOUN
cana-5163	237	24	,	,	PUNCT
cana-5163	237	25	python	python	PROPN
cana-5163	237	26	was	be	AUX
cana-5163	237	27	the	the	DET
cana-5163	237	28	most	most	ADV
cana-5163	237	29	widely	widely	ADV
cana-5163	237	30	used	use	VERB
cana-5163	237	31	computing	computing	NOUN
cana-5163	237	32	tool	tool	NOUN
cana-5163	237	33	,	,	PUNCT
cana-5163	237	34	and	and	CCONJ
cana-5163	237	35	cross	cross	NOUN
cana-5163	237	36	-	-	ADJ
cana-5163	237	37	validation	validation	NOUN
cana-5163	237	38	was	be	AUX
cana-5163	237	39	the	the	DET
cana-5163	237	40	most	most	ADV
cana-5163	237	41	frequently	frequently	ADV
cana-5163	237	42	employed	employ	VERB
cana-5163	237	43	statistical	statistical	ADJ
cana-5163	237	44	tool	tool	NOUN
cana-5163	237	45	(	(	PUNCT
cana-5163	237	46	salas	salas	NOUN
cana-5163	237	47	-	-	PUNCT
cana-5163	237	48	zárate	zárate	NOUN
cana-5163	237	49	et	et	PROPN
cana-5163	237	50	al	al	PROPN
cana-5163	237	51	.	.	PROPN
cana-5163	237	52	,	,	PUNCT
cana-5163	237	53	2022	2022	NUM
cana-5163	237	54	)	)	PUNCT
cana-5163	237	55	.	.	PUNCT
cana-5163	238	1	the	the	DET
cana-5163	238	2	next	next	ADJ
cana-5163	238	3	paper	paper	NOUN
cana-5163	238	4	provides	provide	VERB
cana-5163	238	5	an	an	DET
cana-5163	238	6	insightful	insightful	ADJ
cana-5163	238	7	overview	overview	NOUN
cana-5163	238	8	of	of	ADP
cana-5163	238	9	the	the	DET
cana-5163	238	10	diverse	diverse	ADJ
cana-5163	238	11	applications	application	NOUN
cana-5163	238	12	of	of	ADP
cana-5163	238	13	ai	ai	NOUN
cana-5163	238	14	and	and	CCONJ
cana-5163	238	15	sentiment	sentiment	VERB
cana-5163	238	16	analysis	analysis	NOUN
cana-5163	238	17	(	(	PUNCT
cana-5163	238	18	sa	sa	NOUN
cana-5163	238	19	)	)	PUNCT
cana-5163	238	20	for	for	ADP
cana-5163	238	21	emotion	emotion	NOUN
cana-5163	238	22	detection	detection	NOUN
cana-5163	238	23	,	,	PUNCT
cana-5163	238	24	particularly	particularly	ADV
cana-5163	238	25	with	with	ADP
cana-5163	238	26	the	the	DET
cana-5163	238	27	increasing	increase	VERB
cana-5163	238	28	use	use	NOUN
cana-5163	238	29	of	of	ADP
cana-5163	238	30	social	social	ADJ
cana-5163	238	31	media	medium	NOUN
cana-5163	238	32	,	,	PUNCT
cana-5163	238	33	digital	digital	ADJ
cana-5163	238	34	marketing	marketing	NOUN
cana-5163	238	35	,	,	PUNCT
cana-5163	238	36	and	and	CCONJ
cana-5163	238	37	e	e	NOUN
cana-5163	238	38	-	-	NOUN
cana-5163	238	39	commerce	commerce	NOUN
cana-5163	238	40	platforms	platform	NOUN
cana-5163	238	41	.	.	PUNCT
cana-5163	239	1	this	this	DET
cana-5163	239	2	study	study	NOUN
cana-5163	239	3	,	,	PUNCT
cana-5163	239	4	presented	present	VERB
cana-5163	239	5	by	by	ADP
cana-5163	239	6	chutia	chutia	PROPN
cana-5163	239	7	&	&	CCONJ
cana-5163	239	8	baruah	baruah	PROPN
cana-5163	239	9	(	(	PUNCT
cana-5163	239	10	2024	2024	NUM
cana-5163	239	11	)	)	PUNCT
cana-5163	239	12	,	,	PUNCT
cana-5163	239	13	focuses	focus	VERB
cana-5163	239	14	on	on	ADP
cana-5163	239	15	extracting	extract	VERB
cana-5163	239	16	emotional	emotional	ADJ
cana-5163	239	17	features	feature	NOUN
cana-5163	239	18	from	from	ADP
cana-5163	239	19	various	various	ADJ
cana-5163	239	20	industrial	industrial	ADJ
cana-5163	239	21	sectors	sector	NOUN
cana-5163	239	22	,	,	PUNCT
cana-5163	239	23	including	include	VERB
cana-5163	239	24	social	social	ADJ
cana-5163	239	25	media	medium	NOUN
cana-5163	239	26	,	,	PUNCT
cana-5163	239	27	healthcare	healthcare	PROPN
cana-5163	239	28	,	,	PUNCT
cana-5163	239	29	education	education	NOUN
cana-5163	239	30	,	,	PUNCT
cana-5163	239	31	human	human	ADJ
cana-5163	239	32	resources	resource	NOUN
cana-5163	239	33	,	,	PUNCT
cana-5163	239	34	and	and	CCONJ
cana-5163	239	35	more	more	ADJ
cana-5163	239	36	.	.	PUNCT
cana-5163	240	1	they	they	PRON
cana-5163	240	2	reviewed	review	VERB
cana-5163	240	3	studies	study	NOUN
cana-5163	240	4	published	publish	VERB
cana-5163	240	5	between	between	ADP
cana-5163	240	6	2013	2013	NUM
cana-5163	240	7	and	and	CCONJ
cana-5163	240	8	2023	2023	NUM
cana-5163	240	9	,	,	PUNCT
cana-5163	240	10	summarizing	summarize	VERB
cana-5163	240	11	over	over	ADP
cana-5163	240	12	330	330	NUM
cana-5163	240	13	papers	paper	NOUN
cana-5163	240	14	to	to	PART
cana-5163	240	15	support	support	VERB
cana-5163	240	16	the	the	DET
cana-5163	240	17	research	research	NOUN
cana-5163	240	18	objectives	objective	NOUN
cana-5163	240	19	of	of	ADP
cana-5163	240	20	the	the	DET
cana-5163	240	21	study	study	NOUN
cana-5163	240	22	.	.	PUNCT
cana-5163	241	1	this	this	DET
cana-5163	241	2	review	review	NOUN
cana-5163	241	3	explored	explore	VERB
cana-5163	241	4	articles	article	NOUN
cana-5163	241	5	published	publish	VERB
cana-5163	241	6	in	in	ADP
cana-5163	241	7	scholarly	scholarly	ADJ
cana-5163	241	8	journals	journal	NOUN
cana-5163	241	9	,	,	PUNCT
cana-5163	241	10	covering	cover	VERB
cana-5163	241	11	techniques	technique	NOUN
cana-5163	241	12	,	,	PUNCT
cana-5163	241	13	methods	method	NOUN
cana-5163	241	14	,	,	PUNCT
cana-5163	241	15	deep	deep	ADJ
cana-5163	241	16	learning	learning	NOUN
cana-5163	241	17	models	model	NOUN
cana-5163	241	18	,	,	PUNCT
cana-5163	241	19	data	datum	NOUN
cana-5163	241	20	collection	collection	NOUN
cana-5163	241	21	,	,	PUNCT
cana-5163	241	22	and	and	CCONJ
cana-5163	241	23	evaluation	evaluation	NOUN
cana-5163	241	24	techniques	technique	NOUN
cana-5163	241	25	(	(	PUNCT
cana-5163	241	26	chutia	chutia	PROPN
cana-5163	241	27	&	&	CCONJ
cana-5163	241	28	baruah	baruah	PROPN
cana-5163	241	29	,	,	PUNCT
cana-5163	241	30	2024	2024	NUM
cana-5163	241	31	)	)	PUNCT
cana-5163	241	32	.	.	PUNCT
cana-5163	242	1	tahir	tahir	PROPN
cana-5163	242	2	et	et	PROPN
cana-5163	242	3	al	al	PROPN
cana-5163	242	4	.	.	PROPN
cana-5163	243	1	(	(	PUNCT
cana-5163	243	2	2025	2025	NUM
cana-5163	243	3	)	)	PUNCT
cana-5163	243	4	evaluated	evaluate	VERB
cana-5163	243	5	deep	deep	ADJ
cana-5163	243	6	learning	learning	NOUN
cana-5163	243	7	and	and	CCONJ
cana-5163	243	8	machine	machine	NOUN
cana-5163	243	9	learning	learn	VERB
cana-5163	243	10	techniques	technique	NOUN
cana-5163	243	11	used	use	VERB
cana-5163	243	12	for	for	ADP
cana-5163	243	13	depression	depression	NOUN
cana-5163	243	14	detection	detection	NOUN
cana-5163	243	15	from	from	ADP
cana-5163	243	16	social	social	ADJ
cana-5163	243	17	media	medium	NOUN
cana-5163	243	18	.	.	PUNCT
cana-5163	244	1	a	a	DET
cana-5163	244	2	comprehensive	comprehensive	ADJ
cana-5163	244	3	review	review	NOUN
cana-5163	244	4	was	be	AUX
cana-5163	244	5	conducted	conduct	VERB
cana-5163	244	6	to	to	PART
cana-5163	244	7	achieve	achieve	VERB
cana-5163	244	8	objectives	objective	NOUN
cana-5163	244	9	such	such	ADJ
cana-5163	244	10	as	as	ADP
cana-5163	244	11	the	the	DET
cana-5163	244	12	evolution	evolution	NOUN
cana-5163	244	13	of	of	ADP
cana-5163	244	14	techniques	technique	NOUN
cana-5163	244	15	for	for	ADP
cana-5163	244	16	depression	depression	NOUN
cana-5163	244	17	detection	detection	NOUN
cana-5163	244	18	,	,	PUNCT
cana-5163	244	19	classification	classification	NOUN
cana-5163	244	20	methods	method	NOUN
cana-5163	244	21	,	,	PUNCT
cana-5163	244	22	datasets	dataset	NOUN
cana-5163	244	23	used	use	VERB
cana-5163	244	24	,	,	PUNCT
cana-5163	244	25	and	and	CCONJ
cana-5163	244	26	b.	b.	PROPN
cana-5163	244	27	p.	p.	PROPN
cana-5163	244	28	kumar	kumar	PROPN
cana-5163	244	29	et	et	PROPN
cana-5163	244	30	al	al	PROPN
cana-5163	244	31	.	.	PROPN
cana-5163	245	1	(	(	PUNCT
cana-5163	245	2	2024	2024	NUM
cana-5163	245	3	)	)	PUNCT
cana-5163	245	4	bert	bert	PROPN
cana-5163	245	5	,	,	PUNCT
cana-5163	245	6	rnn	rnn	NOUN
cana-5163	245	7	and	and	CCONJ
cana-5163	245	8	lstm	lstm	NOUN
cana-5163	245	9	tokenization	tokenization	NOUN
cana-5163	245	10	,	,	PUNCT
cana-5163	245	11	stemming	stem	VERB
cana-5163	245	12	and	and	CCONJ
cana-5163	245	13	pos	pos	NOUN
cana-5163	245	14	embedding	embed	VERB
cana-5163	245	15	bert	bert	NOUN
cana-5163	245	16	,	,	PUNCT
cana-5163	245	17	rnn	rnn	VERB
cana-5163	245	18	communications	communication	NOUN
cana-5163	245	19	on	on	ADP
cana-5163	245	20	applied	apply	VERB
cana-5163	245	21	nonlinear	nonlinear	ADJ
cana-5163	245	22	analysis	analysis	NOUN
cana-5163	245	23	issn	issn	NOUN
cana-5163	245	24	:	:	PUNCT
cana-5163	245	25	1074	1074	NUM
cana-5163	245	26	-	-	PUNCT
cana-5163	245	27	133x	133x	NUM
cana-5163	245	28	vol	vol	NOUN
cana-5163	245	29	32	32	NUM
cana-5163	245	30	no	no	NOUN
cana-5163	245	31	.	.	PUNCT
cana-5163	246	1	icmasd	icmasd	NOUN
cana-5163	246	2	(	(	PUNCT
cana-5163	246	3	2025	2025	NUM
cana-5163	246	4	)	)	PUNCT
cana-5163	246	5	1401	1401	NUM
cana-5163	247	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	247	2	identification	identification	NOUN
cana-5163	247	3	of	of	ADP
cana-5163	247	4	open	open	ADJ
cana-5163	247	5	research	research	NOUN
cana-5163	247	6	areas	area	NOUN
cana-5163	247	7	for	for	ADP
cana-5163	247	8	future	future	ADJ
cana-5163	247	9	exploration	exploration	NOUN
cana-5163	247	10	.	.	PUNCT
cana-5163	248	1	the	the	DET
cana-5163	248	2	review	review	NOUN
cana-5163	248	3	included	include	VERB
cana-5163	248	4	86	86	NUM
cana-5163	248	5	full	full	ADJ
cana-5163	248	6	-	-	PUNCT
cana-5163	248	7	text	text	NOUN
cana-5163	248	8	articles	article	NOUN
cana-5163	248	9	out	out	ADP
cana-5163	248	10	of	of	ADP
cana-5163	248	11	144	144	NUM
cana-5163	248	12	records	record	NOUN
cana-5163	248	13	identified	identify	VERB
cana-5163	248	14	from	from	ADP
cana-5163	248	15	academic	academic	ADJ
cana-5163	248	16	databases	database	NOUN
cana-5163	248	17	(	(	PUNCT
cana-5163	248	18	tahir	tahir	PROPN
cana-5163	248	19	et	et	PROPN
cana-5163	248	20	al	al	PROPN
cana-5163	248	21	.	.	PROPN
cana-5163	248	22	,	,	PUNCT
cana-5163	248	23	2025	2025	NUM
cana-5163	248	24	)	)	PUNCT
cana-5163	248	25	table	table	NOUN
cana-5163	248	26	3	3	NUM
cana-5163	248	27	.	.	X
cana-5163	248	28	review	review	NOUN
cana-5163	248	29	of	of	ADP
cana-5163	248	30	secondary	secondary	ADJ
cana-5163	248	31	studies	study	NOUN
cana-5163	248	32	(	(	PUNCT
cana-5163	248	33	review	review	NOUN
cana-5163	248	34	papers	paper	NOUN
cana-5163	248	35	)	)	PUNCT
cana-5163	248	36	ref	ref	NOUN
cana-5163	248	37	.	.	PUNCT
cana-5163	249	1	paper	paper	NOUN
cana-5163	249	2	title	title	NOUN
cana-5163	249	3	no	no	INTJ
cana-5163	249	4	.	.	PUNCT
cana-5163	250	1	of	of	ADP
cana-5163	250	2	records	record	NOUN
cana-5163	250	3	screened	screen	VERB
cana-5163	250	4	for	for	ADP
cana-5163	250	5	review	review	NOUN
cana-5163	250	6	studies	study	NOUN
cana-5163	250	7	included	include	VERB
cana-5163	250	8	for	for	ADP
cana-5163	250	9	synthesis	synthesis	NOUN
cana-5163	250	10	of	of	ADP
cana-5163	250	11	the	the	DET
cana-5163	250	12	review	review	NOUN
cana-5163	250	13	william	william	PROPN
cana-5163	250	14	et	et	PROPN
cana-5163	250	15	al	al	PROPN
cana-5163	250	16	.	.	PROPN
cana-5163	251	1	(	(	PUNCT
cana-5163	251	2	2021	2021	NUM
cana-5163	251	3	)	)	PUNCT
cana-5163	251	4	text	text	NOUN
cana-5163	251	5	-	-	PUNCT
cana-5163	251	6	based	base	VERB
cana-5163	251	7	depression	depression	NOUN
cana-5163	251	8	detection	detection	NOUN
cana-5163	251	9	on	on	ADP
cana-5163	251	10	social	social	ADJ
cana-5163	251	11	media	medium	NOUN
cana-5163	251	12	posts	post	NOUN
cana-5163	251	13	:	:	PUNCT
cana-5163	251	14	a	a	DET
cana-5163	251	15	systematic	systematic	ADJ
cana-5163	251	16	literature	literature	NOUN
cana-5163	251	17	review	review	NOUN
cana-5163	251	18	709	709	NUM
cana-5163	251	19	17	17	NUM
cana-5163	251	20	salas	sala	NOUN
cana-5163	251	21	-	-	PUNCT
cana-5163	251	22	zarate	zarate	PROPN
cana-5163	251	23	et.al	et.al	PROPN
cana-5163	251	24	.	.	PUNCT
cana-5163	252	1	(	(	PUNCT
cana-5163	252	2	2022	2022	NUM
cana-5163	252	3	)	)	PUNCT
cana-5163	252	4	detecting	detect	VERB
cana-5163	252	5	depression	depression	NOUN
cana-5163	252	6	signs	sign	NOUN
cana-5163	252	7	on	on	ADP
cana-5163	252	8	social	social	ADJ
cana-5163	252	9	media	medium	NOUN
cana-5163	252	10	:	:	PUNCT
cana-5163	252	11	a	a	DET
cana-5163	252	12	systematic	systematic	ADJ
cana-5163	252	13	literature	literature	NOUN
cana-5163	252	14	review	review	NOUN
cana-5163	252	15	192	192	NUM
cana-5163	252	16	34	34	NUM
cana-5163	252	17	chutia	chutia	PROPN
cana-5163	252	18	&	&	CCONJ
cana-5163	252	19	baruah	baruah	PROPN
cana-5163	252	20	(	(	PUNCT
cana-5163	252	21	2024	2024	NUM
cana-5163	252	22	)	)	PUNCT
cana-5163	252	23	a	a	DET
cana-5163	252	24	review	review	NOUN
cana-5163	252	25	on	on	ADP
cana-5163	252	26	emotion	emotion	NOUN
cana-5163	252	27	detection	detection	NOUN
cana-5163	252	28	by	by	ADP
cana-5163	252	29	using	use	VERB
cana-5163	252	30	deep	deep	ADJ
cana-5163	252	31	learning	learning	NOUN
cana-5163	252	32	techniques	technique	NOUN
cana-5163	252	33	330	330	NUM
cana-5163	252	34	----	----	PUNCT
cana-5163	252	35	tahir	tahir	PROPN
cana-5163	252	36	et	et	PROPN
cana-5163	252	37	al	al	PROPN
cana-5163	252	38	.	.	PROPN
cana-5163	253	1	(	(	PUNCT
cana-5163	253	2	2025	2025	NUM
cana-5163	253	3	)	)	PUNCT
cana-5163	253	4	depression	depression	NOUN
cana-5163	253	5	detection	detection	NOUN
cana-5163	253	6	in	in	ADP
cana-5163	253	7	social	social	ADJ
cana-5163	253	8	media	medium	NOUN
cana-5163	253	9	:	:	PUNCT
cana-5163	253	10	a	a	DET
cana-5163	253	11	comprehensive	comprehensive	ADJ
cana-5163	253	12	review	review	NOUN
cana-5163	253	13	of	of	ADP
cana-5163	253	14	machine	machine	NOUN
cana-5163	253	15	learning	learning	NOUN
cana-5163	253	16	and	and	CCONJ
cana-5163	253	17	deep	deep	ADJ
cana-5163	253	18	learning	learning	NOUN
cana-5163	253	19	techniques	technique	NOUN
cana-5163	253	20	144	144	NUM
cana-5163	253	21	86	86	NUM
cana-5163	253	22	4.3	4.3	NUM
cana-5163	253	23	review	review	NOUN
cana-5163	253	24	of	of	ADP
cana-5163	253	25	primary	primary	ADJ
cana-5163	253	26	studies	study	NOUN
cana-5163	253	27	beyond	beyond	ADP
cana-5163	253	28	depression	depression	NOUN
cana-5163	253	29	:	:	PUNCT
cana-5163	253	30	exploring	explore	VERB
cana-5163	253	31	mental	mental	ADJ
cana-5163	253	32	health	health	NOUN
cana-5163	253	33	we	we	PRON
cana-5163	253	34	also	also	ADV
cana-5163	253	35	include	include	VERB
cana-5163	253	36	some	some	DET
cana-5163	253	37	studies	study	NOUN
cana-5163	253	38	that	that	PRON
cana-5163	253	39	are	be	AUX
cana-5163	253	40	relevant	relevant	ADJ
cana-5163	253	41	to	to	ADP
cana-5163	253	42	this	this	DET
cana-5163	253	43	review	review	NOUN
cana-5163	253	44	to	to	PART
cana-5163	253	45	explore	explore	VERB
cana-5163	253	46	broader	broad	ADJ
cana-5163	253	47	dimensions	dimension	NOUN
cana-5163	253	48	of	of	ADP
cana-5163	253	49	depression	depression	NOUN
cana-5163	253	50	.	.	PUNCT
cana-5163	254	1	we	we	PRON
cana-5163	254	2	know	know	VERB
cana-5163	254	3	severe	severe	ADJ
cana-5163	254	4	depression	depression	NOUN
cana-5163	254	5	may	may	AUX
cana-5163	254	6	leads	lead	VERB
cana-5163	254	7	to	to	ADP
cana-5163	254	8	variety	variety	NOUN
cana-5163	254	9	of	of	ADP
cana-5163	254	10	mental	mental	ADJ
cana-5163	254	11	health	health	NOUN
cana-5163	254	12	conditions	condition	NOUN
cana-5163	254	13	that	that	PRON
cana-5163	254	14	may	may	AUX
cana-5163	254	15	be	be	AUX
cana-5163	254	16	the	the	DET
cana-5163	254	17	reason	reason	NOUN
cana-5163	254	18	of	of	ADP
cana-5163	254	19	suicide	suicide	NOUN
cana-5163	254	20	.	.	PUNCT
cana-5163	255	1	so	so	ADV
cana-5163	255	2	multi	multi	ADJ
cana-5163	255	3	-	-	ADJ
cana-5163	255	4	class	class	ADJ
cana-5163	255	5	and	and	CCONJ
cana-5163	255	6	multi	multi	ADJ
cana-5163	255	7	-	-	NOUN
cana-5163	255	8	task	task	NOUN
cana-5163	255	9	are	be	AUX
cana-5163	255	10	the	the	DET
cana-5163	255	11	mostly	mostly	ADV
cana-5163	255	12	used	use	VERB
cana-5163	255	13	approaches	approach	NOUN
cana-5163	255	14	for	for	ADP
cana-5163	255	15	early	early	ADJ
cana-5163	255	16	detection	detection	NOUN
cana-5163	255	17	of	of	ADP
cana-5163	255	18	depression	depression	NOUN
cana-5163	255	19	.	.	PUNCT
cana-5163	256	1	coppersmith	coppersmith	PROPN
cana-5163	256	2	et	et	PROPN
cana-5163	256	3	al	al	PROPN
cana-5163	256	4	.	.	PROPN
cana-5163	257	1	(	(	PUNCT
cana-5163	257	2	2018	2018	NUM
cana-5163	257	3	)	)	PUNCT
cana-5163	257	4	evaluated	evaluate	VERB
cana-5163	257	5	a	a	DET
cana-5163	257	6	study	study	NOUN
cana-5163	257	7	for	for	ADP
cana-5163	257	8	suicide	suicide	NOUN
cana-5163	257	9	risk	risk	NOUN
cana-5163	257	10	screening	screen	VERB
cana-5163	257	11	in	in	ADP
cana-5163	257	12	social	social	ADJ
cana-5163	257	13	media	medium	NOUN
cana-5163	257	14	posts	post	NOUN
cana-5163	257	15	.	.	PUNCT
cana-5163	258	1	they	they	PRON
cana-5163	258	2	obtained	obtain	VERB
cana-5163	258	3	their	their	PRON
cana-5163	258	4	data	datum	NOUN
cana-5163	258	5	of	of	ADP
cana-5163	258	6	the	the	DET
cana-5163	258	7	users	user	NOUN
cana-5163	258	8	who	who	PRON
cana-5163	258	9	attempted	attempt	VERB
cana-5163	258	10	suicide	suicide	NOUN
cana-5163	258	11	from	from	ADP
cana-5163	258	12	ourdatahepls.org	ourdatahepls.org	NOUN
cana-5163	258	13	,	,	PUNCT
cana-5163	258	14	data	datum	NOUN
cana-5163	258	15	was	be	AUX
cana-5163	258	16	provided	provide	VERB
cana-5163	258	17	by	by	ADP
cana-5163	258	18	the	the	DET
cana-5163	258	19	loved	love	VERB
cana-5163	258	20	ones	one	NOUN
cana-5163	258	21	after	after	SCONJ
cana-5163	258	22	they	they	PRON
cana-5163	258	23	committed	commit	VERB
cana-5163	258	24	suicide	suicide	NOUN
cana-5163	258	25	.	.	PUNCT
cana-5163	259	1	they	they	PRON
cana-5163	259	2	also	also	ADV
cana-5163	259	3	used	use	VERB
cana-5163	259	4	data	datum	NOUN
cana-5163	259	5	originally	originally	ADV
cana-5163	259	6	described	describe	VERB
cana-5163	259	7	in	in	ADP
cana-5163	259	8	other	other	ADJ
cana-5163	259	9	studies	study	NOUN
cana-5163	259	10	which	which	PRON
cana-5163	259	11	depicts	depict	VERB
cana-5163	259	12	the	the	DET
cana-5163	259	13	self	self	NOUN
cana-5163	259	14	-	-	PUNCT
cana-5163	259	15	stated	state	VERB
cana-5163	259	16	users	user	NOUN
cana-5163	259	17	who	who	PRON
cana-5163	259	18	openly	openly	ADV
cana-5163	259	19	discussed	discuss	VERB
cana-5163	259	20	on	on	ADP
cana-5163	259	21	suicides	suicide	NOUN
cana-5163	259	22	attempts	attempt	NOUN
cana-5163	259	23	on	on	ADP
cana-5163	259	24	social	social	ADJ
cana-5163	259	25	media	medium	NOUN
cana-5163	259	26	.	.	PUNCT
cana-5163	260	1	they	they	PRON
cana-5163	260	2	combined	combine	VERB
cana-5163	260	3	the	the	DET
cana-5163	260	4	data	datum	NOUN
cana-5163	260	5	of	of	ADP
cana-5163	260	6	these	these	DET
cana-5163	260	7	two	two	NUM
cana-5163	260	8	sources	source	NOUN
cana-5163	260	9	and	and	CCONJ
cana-5163	260	10	found	find	VERB
cana-5163	260	11	total	total	ADJ
cana-5163	260	12	547	547	NUM
cana-5163	260	13	users	user	NOUN
cana-5163	260	14	attempted	attempt	VERB
cana-5163	260	15	suicide	suicide	NOUN
cana-5163	260	16	after	after	ADP
cana-5163	260	17	6	6	NUM
cana-5163	260	18	months	month	NOUN
cana-5163	260	19	they	they	PRON
cana-5163	260	20	mentioned	mention	VERB
cana-5163	260	21	in	in	ADP
cana-5163	260	22	their	their	PRON
cana-5163	260	23	social	social	ADJ
cana-5163	260	24	media	medium	NOUN
cana-5163	260	25	posts	post	NOUN
cana-5163	260	26	.	.	PUNCT
cana-5163	261	1	most	most	ADJ
cana-5163	261	2	of	of	ADP
cana-5163	261	3	the	the	DET
cana-5163	261	4	users	user	NOUN
cana-5163	261	5	were	be	AUX
cana-5163	261	6	females	female	NOUN
cana-5163	261	7	of	of	ADP
cana-5163	261	8	18	18	NUM
cana-5163	261	9	-	-	SYM
cana-5163	261	10	24	24	NUM
cana-5163	261	11	age	age	NOUN
cana-5163	261	12	groups	group	NOUN
cana-5163	261	13	.	.	PUNCT
cana-5163	262	1	they	they	PRON
cana-5163	262	2	employed	employ	VERB
cana-5163	262	3	bidirectional	bidirectional	ADJ
cana-5163	262	4	lstm	lstm	NOUN
cana-5163	262	5	to	to	PART
cana-5163	262	6	capture	capture	VERB
cana-5163	262	7	more	more	ADV
cana-5163	262	8	contextual	contextual	ADJ
cana-5163	262	9	and	and	CCONJ
cana-5163	262	10	linguistic	linguistic	ADJ
cana-5163	262	11	representations	representation	NOUN
cana-5163	262	12	of	of	ADP
cana-5163	262	13	the	the	DET
cana-5163	262	14	words	word	NOUN
cana-5163	262	15	.	.	PUNCT
cana-5163	263	1	glove	glove	NOUN
cana-5163	263	2	embedding	embed	VERB
cana-5163	263	3	was	be	AUX
cana-5163	263	4	already	already	ADV
cana-5163	263	5	employed	employ	VERB
cana-5163	263	6	by	by	ADP
cana-5163	263	7	the	the	DET
cana-5163	263	8	original	original	ADJ
cana-5163	263	9	authors	author	NOUN
cana-5163	263	10	(	(	PUNCT
cana-5163	263	11	coppersmith	coppersmith	PROPN
cana-5163	263	12	et	et	PROPN
cana-5163	263	13	al	al	PROPN
cana-5163	263	14	.	.	PROPN
cana-5163	263	15	,	,	PUNCT
cana-5163	263	16	2018	2018	NUM
cana-5163	263	17	)	)	PUNCT
cana-5163	263	18	.	.	PUNCT
cana-5163	264	1	next	next	ADJ
cana-5163	264	2	study	study	NOUN
cana-5163	264	3	is	be	AUX
cana-5163	264	4	proposed	propose	VERB
cana-5163	264	5	by	by	ADP
cana-5163	264	6	ramirez	ramirez	PROPN
cana-5163	264	7	–	–	PUNCT
cana-5163	264	8	cifuentes	cifuente	VERB
cana-5163	264	9	et	et	PROPN
cana-5163	264	10	al	al	PROPN
cana-5163	264	11	.	.	PROPN
cana-5163	265	1	(	(	PUNCT
cana-5163	265	2	2021	2021	NUM
cana-5163	265	3	)	)	PUNCT
cana-5163	266	1	to	to	PART
cana-5163	266	2	analyse	analyse	VERB
cana-5163	266	3	abusive	abusive	ADJ
cana-5163	266	4	substances	substance	NOUN
cana-5163	266	5	and	and	CCONJ
cana-5163	266	6	mental	mental	ADJ
cana-5163	266	7	health	health	NOUN
cana-5163	266	8	problems	problem	NOUN
cana-5163	266	9	in	in	ADP
cana-5163	266	10	reddit	reddit	NOUN
cana-5163	266	11	texts	text	NOUN
cana-5163	266	12	.	.	PUNCT
cana-5163	267	1	they	they	PRON
cana-5163	267	2	created	create	VERB
cana-5163	267	3	a	a	DET
cana-5163	267	4	two	two	NUM
cana-5163	267	5	multiclass	multiclass	ADJ
cana-5163	267	6	datasets	dataset	NOUN
cana-5163	267	7	.	.	PUNCT
cana-5163	268	1	in	in	ADP
cana-5163	268	2	first	first	ADJ
cana-5163	268	3	dataset	dataset	VERB
cana-5163	268	4	4	4	NUM
cana-5163	268	5	classes	class	NOUN
cana-5163	268	6	were	be	AUX
cana-5163	268	7	extracted	extract	VERB
cana-5163	268	8	from	from	ADP
cana-5163	268	9	the	the	DET
cana-5163	268	10	users	user	NOUN
cana-5163	268	11	writings	writing	NOUN
cana-5163	268	12	:	:	PUNCT
cana-5163	268	13	suicide	suicide	NOUN
cana-5163	268	14	(	(	PUNCT
cana-5163	268	15	sui	sui	PROPN
cana-5163	268	16	)	)	PUNCT
cana-5163	268	17	,	,	PUNCT
cana-5163	268	18	depression	depression	NOUN
cana-5163	268	19	(	(	PUNCT
cana-5163	268	20	dep	dep	NOUN
cana-5163	268	21	)	)	PUNCT
cana-5163	268	22	,	,	PUNCT
cana-5163	268	23	alcoholism	alcoholism	NOUN
cana-5163	268	24	(	(	PUNCT
cana-5163	268	25	alc	alc	PROPN
cana-5163	268	26	)	)	PUNCT
cana-5163	268	27	and	and	CCONJ
cana-5163	268	28	eating	eat	VERB
cana-5163	268	29	disorder	disorder	NOUN
cana-5163	268	30	(	(	PUNCT
cana-5163	268	31	ed	ed	NOUN
cana-5163	268	32	)	)	PUNCT
cana-5163	268	33	,	,	PUNCT
cana-5163	268	34	second	second	ADJ
cana-5163	268	35	dataset	dataset	NOUN
cana-5163	268	36	consists	consist	VERB
cana-5163	268	37	binary	binary	ADJ
cana-5163	268	38	classification	classification	NOUN
cana-5163	268	39	with	with	ADP
cana-5163	268	40	mental	mental	ADJ
cana-5163	268	41	conditions	condition	NOUN
cana-5163	268	42	(	(	PUNCT
cana-5163	268	43	mcon	mcon	NOUN
cana-5163	268	44	)	)	PUNCT
cana-5163	268	45	in	in	ADP
cana-5163	268	46	general	general	ADJ
cana-5163	268	47	and	and	CCONJ
cana-5163	268	48	control	control	NOUN
cana-5163	268	49	cases	case	NOUN
cana-5163	268	50	(	(	PUNCT
cana-5163	268	51	con	con	PROPN
cana-5163	268	52	)	)	PUNCT
cana-5163	268	53	.they	.they	PRON
cana-5163	268	54	employed	employ	VERB
cana-5163	268	55	multiple	multiple	ADJ
cana-5163	268	56	baseline	baseline	NOUN
cana-5163	268	57	models	model	NOUN
cana-5163	268	58	word2vec	word2vec	X
cana-5163	268	59	,	,	PUNCT
cana-5163	268	60	distilbert	distilbert	ADJ
cana-5163	268	61	and	and	CCONJ
cana-5163	268	62	fine	fine	ADV
cana-5163	268	63	-	-	PUNCT
cana-5163	268	64	tuned	tune	VERB
cana-5163	268	65	pre	pre	ADJ
cana-5163	268	66	-	-	ADJ
cana-5163	268	67	learned	learned	ADJ
cana-5163	268	68	glove	glove	NOUN
cana-5163	268	69	,	,	PUNCT
cana-5163	268	70	leveraging	leverage	VERB
cana-5163	268	71	embedded	embed	VERB
cana-5163	268	72	features	feature	NOUN
cana-5163	268	73	.	.	PUNCT
cana-5163	269	1	but	but	CCONJ
cana-5163	269	2	proposed	propose	VERB
cana-5163	269	3	variations	variation	NOUN
cana-5163	269	4	of	of	ADP
cana-5163	269	5	enhanced	enhance	VERB
cana-5163	269	6	representations	representation	NOUN
cana-5163	269	7	outperformed	outperform	VERB
cana-5163	269	8	the	the	DET
cana-5163	269	9	baseline	baseline	NOUN
cana-5163	269	10	models	model	NOUN
cana-5163	269	11	(	(	PUNCT
cana-5163	269	12	ramirez	ramirez	NOUN
cana-5163	269	13	-	-	PUNCT
cana-5163	269	14	cifuentes	cifuente	VERB
cana-5163	269	15	et	et	PROPN
cana-5163	269	16	al	al	PROPN
cana-5163	269	17	.	.	PROPN
cana-5163	269	18	,	,	PUNCT
cana-5163	269	19	2021	2021	NUM
cana-5163	269	20	)	)	PUNCT
cana-5163	269	21	.	.	PUNCT
cana-5163	270	1	yang	yang	PROPN
cana-5163	270	2	et	et	PROPN
cana-5163	270	3	al	al	PROPN
cana-5163	270	4	.	.	PROPN
cana-5163	271	1	(	(	PUNCT
cana-5163	271	2	2024	2024	NUM
cana-5163	271	3	)	)	PUNCT
cana-5163	271	4	presented	present	VERB
cana-5163	271	5	a	a	DET
cana-5163	271	6	novel	novel	ADJ
cana-5163	271	7	approach	approach	NOUN
cana-5163	271	8	using	use	VERB
cana-5163	271	9	variations	variation	NOUN
cana-5163	271	10	of	of	ADP
cana-5163	271	11	mentalllama	mentalllama	NOUN
cana-5163	271	12	model	model	NOUN
cana-5163	271	13	.	.	PUNCT
cana-5163	272	1	for	for	ADP
cana-5163	272	2	testing	testing	NOUN
cana-5163	272	3	they	they	PRON
cana-5163	272	4	created	create	VERB
cana-5163	272	5	their	their	PRON
cana-5163	272	6	own	own	ADJ
cana-5163	272	7	dataset	dataset	NOUN
cana-5163	272	8	named	name	VERB
cana-5163	272	9	interpretable	interpretable	ADJ
cana-5163	272	10	mental	mental	ADJ
cana-5163	272	11	health	health	NOUN
cana-5163	272	12	instruction	instruction	NOUN
cana-5163	272	13	(	(	PUNCT
cana-5163	272	14	imhi	imhi	PROPN
cana-5163	272	15	)	)	PUNCT
cana-5163	272	16	sourced	source	VERB
cana-5163	272	17	from	from	ADP
cana-5163	272	18	10	10	NUM
cana-5163	272	19	communications	communication	NOUN
cana-5163	272	20	on	on	ADP
cana-5163	272	21	applied	apply	VERB
cana-5163	272	22	nonlinear	nonlinear	ADJ
cana-5163	272	23	analysis	analysis	NOUN
cana-5163	272	24	issn	issn	NOUN
cana-5163	272	25	:	:	PUNCT
cana-5163	272	26	1074	1074	NUM
cana-5163	272	27	-	-	PUNCT
cana-5163	272	28	133x	133x	NUM
cana-5163	272	29	vol	vol	NOUN
cana-5163	272	30	32	32	NUM
cana-5163	272	31	no	no	NOUN
cana-5163	272	32	.	.	PUNCT
cana-5163	273	1	icmasd	icmasd	NOUN
cana-5163	273	2	(	(	PUNCT
cana-5163	273	3	2025	2025	NUM
cana-5163	273	4	)	)	PUNCT
cana-5163	273	5	1402	1402	NUM
cana-5163	273	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	273	7	previous	previous	ADJ
cana-5163	273	8	datasets	dataset	NOUN
cana-5163	273	9	and	and	CCONJ
cana-5163	273	10	contained	contain	VERB
cana-5163	273	11	105k	105k	NUM
cana-5163	273	12	data	datum	NOUN
cana-5163	273	13	samples	sample	NOUN
cana-5163	273	14	.	.	PUNCT
cana-5163	274	1	it	it	PRON
cana-5163	274	2	was	be	AUX
cana-5163	274	3	first	first	ADV
cana-5163	274	4	ever	ever	ADV
cana-5163	274	5	dataset	dataset	VERB
cana-5163	274	6	with	with	ADP
cana-5163	274	7	multi	multi	ADJ
cana-5163	274	8	class	class	NOUN
cana-5163	274	9	and	and	CCONJ
cana-5163	274	10	multitasking	multitaske	VERB
cana-5163	274	11	features	feature	NOUN
cana-5163	274	12	.	.	PUNCT
cana-5163	275	1	results	result	NOUN
cana-5163	275	2	evaluation	evaluation	NOUN
cana-5163	275	3	was	be	AUX
cana-5163	275	4	compared	compare	VERB
cana-5163	275	5	with	with	ADP
cana-5163	275	6	pre	pre	ADJ
cana-5163	275	7	-	-	ADJ
cana-5163	275	8	learned	learned	ADJ
cana-5163	275	9	transformer	transformer	NOUN
cana-5163	275	10	models	model	NOUN
cana-5163	275	11	such	such	ADJ
cana-5163	275	12	as	as	ADP
cana-5163	275	13	bert	bert	NOUN
cana-5163	275	14	,	,	PUNCT
cana-5163	275	15	llamas	llama	NOUN
cana-5163	275	16	,	,	PUNCT
cana-5163	275	17	roberta	roberta	PROPN
cana-5163	275	18	,	,	PUNCT
cana-5163	275	19	mentalbert	mentalbert	PROPN
cana-5163	275	20	and	and	CCONJ
cana-5163	275	21	mentalroberta	mentalroberta	NOUN
cana-5163	275	22	.	.	PUNCT
cana-5163	276	1	fine	fine	ADJ
cana-5163	276	2	-	-	PUNCT
cana-5163	276	3	tuned	tune	VERB
cana-5163	276	4	mentalllama	mentalllama	NOUN
cana-5163	276	5	-	-	PUNCT
cana-5163	276	6	chat-13b	chat-13b	NOUN
cana-5163	276	7	outperformed	outperform	VERB
cana-5163	276	8	for	for	ADP
cana-5163	276	9	correct	correct	ADJ
cana-5163	276	10	classifications	classification	NOUN
cana-5163	276	11	(	(	PUNCT
cana-5163	276	12	yang	yang	PROPN
cana-5163	276	13	et	et	PROPN
cana-5163	276	14	al	al	PROPN
cana-5163	276	15	.	.	PROPN
cana-5163	276	16	,	,	PUNCT
cana-5163	276	17	2024	2024	NUM
cana-5163	276	18	)	)	PUNCT
cana-5163	276	19	.	.	PUNCT
cana-5163	277	1	large	large	ADJ
cana-5163	277	2	language	language	NOUN
cana-5163	277	3	models	model	NOUN
cana-5163	277	4	(	(	PUNCT
cana-5163	277	5	llms	llm	NOUN
cana-5163	277	6	)	)	PUNCT
cana-5163	277	7	based	base	VERB
cana-5163	277	8	approach	approach	NOUN
cana-5163	277	9	proposed	propose	VERB
cana-5163	277	10	by	by	ADP
cana-5163	277	11	alhamed	alhame	VERB
cana-5163	277	12	et	et	PROPN
cana-5163	277	13	al	al	PROPN
cana-5163	277	14	.	.	PROPN
cana-5163	277	15	(	(	PUNCT
cana-5163	277	16	2024	2024	NUM
cana-5163	277	17	)	)	PUNCT
cana-5163	277	18	provided	provide	VERB
cana-5163	277	19	the	the	DET
cana-5163	277	20	evidences	evidence	NOUN
cana-5163	277	21	of	of	ADP
cana-5163	277	22	suicidal	suicidal	ADJ
cana-5163	277	23	risks	risk	NOUN
cana-5163	277	24	that	that	PRON
cana-5163	277	25	are	be	AUX
cana-5163	277	26	pre	pre	ADJ
cana-5163	277	27	-	-	VERB
cana-5163	277	28	annotated	annotated	ADJ
cana-5163	277	29	in	in	ADP
cana-5163	277	30	user	user	NOUN
cana-5163	277	31	level	level	NOUN
cana-5163	277	32	posts	post	NOUN
cana-5163	277	33	of	of	ADP
cana-5163	277	34	reddit	reddit	NOUN
cana-5163	277	35	.	.	PUNCT
cana-5163	278	1	they	they	PRON
cana-5163	278	2	assigned	assign	VERB
cana-5163	278	3	4	4	NUM
cana-5163	278	4	labels	label	NOUN
cana-5163	278	5	to	to	ADP
cana-5163	278	6	users	user	NOUN
cana-5163	278	7	’	'	PUNCT
cana-5163	278	8	texts	text	NOUN
cana-5163	278	9	for	for	ADP
cana-5163	278	10	suicide	suicide	NOUN
cana-5163	278	11	risk	risk	NOUN
cana-5163	278	12	assessment	assessment	NOUN
cana-5163	278	13	from	from	ADP
cana-5163	278	14	a	a	DET
cana-5163	278	15	subreddit	subreddit	NOUN
cana-5163	278	16	dataset	dataset	VERB
cana-5163	278	17	r	r	NOUN
cana-5163	278	18	/	/	SYM
cana-5163	278	19	suicidewatch	suicidewatch	NOUN
cana-5163	278	20	.	.	PUNCT
cana-5163	279	1	they	they	PRON
cana-5163	279	2	prompted	prompt	VERB
cana-5163	279	3	the	the	DET
cana-5163	279	4	meta	meta	ADJ
cana-5163	279	5	llama	llama	NOUN
cana-5163	279	6	2	2	NUM
cana-5163	279	7	7b	7b	NOUN
cana-5163	279	8	open	open	ADJ
cana-5163	279	9	source	source	NOUN
cana-5163	279	10	chat	chat	VERB
cana-5163	279	11	llm	llm	ADV
cana-5163	279	12	with	with	ADP
cana-5163	279	13	questions	question	NOUN
cana-5163	279	14	for	for	ADP
cana-5163	279	15	retrieval	retrieval	NOUN
cana-5163	279	16	of	of	ADP
cana-5163	279	17	evidences	evidence	NOUN
cana-5163	279	18	on	on	ADP
cana-5163	279	19	the	the	DET
cana-5163	279	20	behalf	behalf	NOUN
cana-5163	279	21	of	of	ADP
cana-5163	279	22	4	4	NUM
cana-5163	279	23	labels	label	NOUN
cana-5163	279	24	:	:	PUNCT
cana-5163	279	25	no	no	DET
cana-5163	279	26	risk	risk	NOUN
cana-5163	279	27	,	,	PUNCT
cana-5163	279	28	low	low	ADJ
cana-5163	279	29	risk	risk	NOUN
cana-5163	279	30	,	,	PUNCT
cana-5163	279	31	moderate	moderate	ADJ
cana-5163	279	32	and	and	CCONJ
cana-5163	279	33	high	high	ADJ
cana-5163	279	34	risk	risk	NOUN
cana-5163	279	35	.	.	PUNCT
cana-5163	280	1	meta	meta	ADJ
cana-5163	280	2	llama	llama	NOUN
cana-5163	280	3	2	2	NUM
cana-5163	280	4	7b	7b	NOUN
cana-5163	280	5	with	with	ADP
cana-5163	280	6	lexicons	lexicon	NOUN
cana-5163	280	7	provided	provide	VERB
cana-5163	280	8	the	the	DET
cana-5163	280	9	higher	high	ADJ
cana-5163	280	10	precision	precision	NOUN
cana-5163	280	11	of	of	ADP
cana-5163	280	12	0.96	0.96	NUM
cana-5163	280	13	(	(	PUNCT
cana-5163	280	14	alhamed	alhame	VERB
cana-5163	280	15	,	,	PUNCT
cana-5163	280	16	i	i	PRON
cana-5163	280	17	ve	ve	VERB
cana-5163	280	18	,	,	PUNCT
cana-5163	280	19	&	&	CCONJ
cana-5163	280	20	specia	specia	NOUN
cana-5163	280	21	,	,	PUNCT
cana-5163	280	22	2024	2024	NUM
cana-5163	280	23	)	)	PUNCT
cana-5163	280	24	approach	approach	NOUN
cana-5163	280	25	used	use	VERB
cana-5163	280	26	in	in	ADP
cana-5163	280	27	this	this	DET
cana-5163	280	28	study	study	NOUN
cana-5163	280	29	proposed	propose	VERB
cana-5163	280	30	a	a	DET
cana-5163	280	31	vader	vader	NOUN
cana-5163	280	32	tool	tool	NOUN
cana-5163	280	33	for	for	ADP
cana-5163	280	34	semantic	semantic	ADJ
cana-5163	280	35	and	and	CCONJ
cana-5163	280	36	syntactic	syntactic	ADJ
cana-5163	280	37	analyses	analysis	NOUN
cana-5163	280	38	of	of	ADP
cana-5163	280	39	social	social	ADJ
cana-5163	280	40	media	medium	NOUN
cana-5163	280	41	data	datum	NOUN
cana-5163	280	42	to	to	PART
cana-5163	280	43	identify	identify	VERB
cana-5163	280	44	the	the	DET
cana-5163	280	45	changes	change	NOUN
cana-5163	280	46	in	in	ADP
cana-5163	280	47	behaviour	behaviour	NOUN
cana-5163	280	48	of	of	ADP
cana-5163	280	49	users	user	NOUN
cana-5163	280	50	.	.	PUNCT
cana-5163	281	1	again	again	ADV
cana-5163	281	2	this	this	DET
cana-5163	281	3	study	study	NOUN
cana-5163	281	4	utilized	utilize	VERB
cana-5163	281	5	“	"	PUNCT
cana-5163	281	6	suicide	suicide	NOUN
cana-5163	281	7	watch	watch	NOUN
cana-5163	281	8	”	"	PUNCT
cana-5163	281	9	and	and	CCONJ
cana-5163	281	10	“	"	PUNCT
cana-5163	281	11	depression	depression	NOUN
cana-5163	281	12	”	"	PUNCT
cana-5163	281	13	subreddit	subreddit	NOUN
cana-5163	281	14	along	along	ADV
cana-5163	281	15	with	with	ADP
cana-5163	281	16	twitter	twitter	NOUN
cana-5163	281	17	dataset	dataset	NOUN
cana-5163	281	18	obtained	obtain	VERB
cana-5163	281	19	from	from	ADP
cana-5163	281	20	github	github	NOUN
cana-5163	281	21	for	for	ADP
cana-5163	281	22	testing	testing	NOUN
cana-5163	281	23	of	of	ADP
cana-5163	281	24	proposed	propose	VERB
cana-5163	281	25	models	model	NOUN
cana-5163	281	26	.	.	PUNCT
cana-5163	282	1	after	after	SCONJ
cana-5163	282	2	pre	pre	ADJ
cana-5163	282	3	-	-	ADJ
cana-5163	282	4	processing	processing	ADJ
cana-5163	282	5	feature	feature	NOUN
cana-5163	282	6	extraction	extraction	NOUN
cana-5163	282	7	was	be	AUX
cana-5163	282	8	done	do	VERB
cana-5163	282	9	using	use	VERB
cana-5163	282	10	bert	bert	PROPN
cana-5163	282	11	table	table	NOUN
cana-5163	282	12	4	4	NUM
cana-5163	282	13	.	.	PUNCT
cana-5163	282	14	exploring	explore	VERB
cana-5163	282	15	mental	mental	ADJ
cana-5163	282	16	health	health	NOUN
cana-5163	282	17	:	:	PUNCT
cana-5163	282	18	studies	study	NOUN
cana-5163	282	19	beyond	beyond	ADP
cana-5163	282	20	depression	depression	NOUN
cana-5163	282	21	.	.	PUNCT
cana-5163	283	1	through	through	ADP
cana-5163	283	2	two	two	NUM
cana-5163	283	3	experiments	experiment	NOUN
cana-5163	283	4	,	,	PUNCT
cana-5163	283	5	where	where	SCONJ
cana-5163	283	6	stacking	stack	VERB
cana-5163	283	7	classifier	classifier	NOUN
cana-5163	283	8	with	with	ADP
cana-5163	283	9	base	base	NOUN
cana-5163	283	10	rf	rf	NOUN
cana-5163	283	11	,	,	PUNCT
cana-5163	283	12	dt	dt	NOUN
cana-5163	283	13	,	,	PUNCT
cana-5163	283	14	gb	gb	PRON
cana-5163	283	15	and	and	CCONJ
cana-5163	283	16	meta	meta	VERB
cana-5163	283	17	xgboost	xgboost	ADV
cana-5163	283	18	along	along	ADP
cana-5163	283	19	with	with	ADP
cana-5163	283	20	bert	bert	PROPN
cana-5163	283	21	and	and	CCONJ
cana-5163	283	22	vader	vader	NOUN
cana-5163	283	23	achieved	achieve	VERB
cana-5163	283	24	high	high	ADJ
cana-5163	283	25	accuracy	accuracy	NOUN
cana-5163	283	26	of	of	ADP
cana-5163	283	27	94	94	NUM
cana-5163	283	28	,	,	PUNCT
cana-5163	283	29	95	95	NUM
cana-5163	283	30	%	%	NOUN
cana-5163	283	31	on	on	ADP
cana-5163	283	32	reddit	reddit	NOUN
cana-5163	283	33	and	and	CCONJ
cana-5163	283	34	twitter	twitter	NOUN
cana-5163	283	35	dataset	dataset	VERB
cana-5163	283	36	respectively	respectively	ADV
cana-5163	283	37	.	.	PUNCT
cana-5163	284	1	in	in	ADP
cana-5163	284	2	second	second	ADJ
cana-5163	284	3	experiment	experiment	NOUN
cana-5163	284	4	various	various	ADJ
cana-5163	284	5	embedded	embed	VERB
cana-5163	284	6	models	model	NOUN
cana-5163	284	7	using	use	VERB
cana-5163	284	8	deep	deep	ADJ
cana-5163	284	9	learning	learning	NOUN
cana-5163	284	10	were	be	AUX
cana-5163	284	11	employed	employ	VERB
cana-5163	284	12	including	include	VERB
cana-5163	284	13	bert	bert	PROPN
cana-5163	284	14	,	,	PUNCT
cana-5163	284	15	muse	muse	NOUN
cana-5163	284	16	,	,	PUNCT
cana-5163	284	17	lstm	lstm	NOUN
cana-5163	284	18	,	,	PUNCT
cana-5163	284	19	bilstm	bilstm	NOUN
cana-5163	284	20	with	with	ADP
cana-5163	284	21	attention	attention	NOUN
cana-5163	284	22	gru	gru	PROPN
cana-5163	284	23	,	,	PUNCT
cana-5163	284	24	and	and	CCONJ
cana-5163	284	25	bigru	bigru	VERB
cana-5163	284	26	.	.	PUNCT
cana-5163	284	27	proposed	propose	VERB
cana-5163	284	28	model	model	NOUN
cana-5163	284	29	with	with	ADP
cana-5163	284	30	embedding	embed	VERB
cana-5163	284	31	of	of	ADP
cana-5163	284	32	references	reference	NOUN
cana-5163	284	33	beyond	beyond	ADP
cana-5163	284	34	depression	depression	NOUN
cana-5163	284	35	studies	study	NOUN
cana-5163	284	36	approaches	approach	VERB
cana-5163	284	37	coppersmith	coppersmith	PROPN
cana-5163	284	38	et	et	PROPN
cana-5163	284	39	al	al	PROPN
cana-5163	284	40	.	.	PROPN
cana-5163	285	1	(	(	PUNCT
cana-5163	285	2	2018	2018	NUM
cana-5163	285	3	)	)	PUNCT
cana-5163	285	4	screening	screen	VERB
cana-5163	285	5	for	for	ADP
cana-5163	285	6	suicide	suicide	NOUN
cana-5163	285	7	risk	risk	NOUN
cana-5163	285	8	glove	glove	NOUN
cana-5163	285	9	,	,	PUNCT
cana-5163	285	10	lstm	lstm	PROPN
cana-5163	285	11	ramirez	ramirez	PROPN
cana-5163	285	12	–	–	PUNCT
cana-5163	285	13	cifuentes	cifuente	VERB
cana-5163	285	14	et	et	PROPN
cana-5163	285	15	al	al	PROPN
cana-5163	285	16	.	.	PROPN
cana-5163	286	1	(	(	PUNCT
cana-5163	286	2	2021	2021	NUM
cana-5163	286	3	)	)	PUNCT
cana-5163	286	4	detection	detection	NOUN
cana-5163	286	5	of	of	ADP
cana-5163	286	6	substance	substance	NOUN
cana-5163	286	7	abuse	abuse	NOUN
cana-5163	286	8	and	and	CCONJ
cana-5163	286	9	mental	mental	ADJ
cana-5163	286	10	health	health	NOUN
cana-5163	286	11	issues	issue	NOUN
cana-5163	286	12	word2vec	word2vec	X
cana-5163	286	13	,	,	PUNCT
cana-5163	286	14	distilbert	distilbert	ADJ
cana-5163	286	15	and	and	CCONJ
cana-5163	286	16	fine	fine	ADV
cana-5163	286	17	-	-	PUNCT
cana-5163	286	18	tuned	tune	VERB
cana-5163	286	19	pre	pre	ADJ
cana-5163	286	20	-	-	ADJ
cana-5163	286	21	learned	learned	ADJ
cana-5163	286	22	glove	glove	NOUN
cana-5163	286	23	yang	yang	PROPN
cana-5163	286	24	et	et	PROPN
cana-5163	286	25	al	al	PROPN
cana-5163	286	26	.	.	PROPN
cana-5163	287	1	(	(	PUNCT
cana-5163	287	2	2024	2024	NUM
cana-5163	287	3	)	)	PUNCT
cana-5163	287	4	interpretable	interpretable	ADJ
cana-5163	287	5	mental	mental	ADJ
cana-5163	287	6	health	health	NOUN
cana-5163	287	7	analysis	analysis	NOUN
cana-5163	287	8	bert	bert	PROPN
cana-5163	287	9	,	,	PUNCT
cana-5163	287	10	llamas	llama	NOUN
cana-5163	287	11	,	,	PUNCT
cana-5163	287	12	roberta	roberta	PROPN
cana-5163	287	13	,	,	PUNCT
cana-5163	287	14	mentalbert	mentalbert	PROPN
cana-5163	287	15	and	and	CCONJ
cana-5163	287	16	mentalroberta	mentalroberta	NOUN
cana-5163	287	17	shukla	shukla	NOUN
cana-5163	287	18	and	and	CCONJ
cana-5163	287	19	sing	sing	VERB
cana-5163	287	20	(	(	PUNCT
cana-5163	287	21	2024	2024	NUM
cana-5163	287	22	)	)	PUNCT
cana-5163	287	23	early	early	ADJ
cana-5163	287	24	prediction	prediction	NOUN
cana-5163	287	25	of	of	ADP
cana-5163	287	26	behaviour	behaviour	NOUN
cana-5163	287	27	changes	change	NOUN
cana-5163	287	28	vader	vader	NOUN
cana-5163	287	29	,	,	PUNCT
cana-5163	287	30	bert	bert	PROPN
cana-5163	287	31	,	,	PUNCT
cana-5163	287	32	muse	muse	NOUN
cana-5163	287	33	,	,	PUNCT
cana-5163	287	34	lstm	lstm	NOUN
cana-5163	287	35	,	,	PUNCT
cana-5163	287	36	bilstm	bilstm	NOUN
cana-5163	287	37	,	,	PUNCT
cana-5163	287	38	gru	gru	PROPN
cana-5163	287	39	,	,	PUNCT
cana-5163	287	40	bigru	bigru	NOUN
cana-5163	287	41	and	and	CCONJ
cana-5163	287	42	xgboost	xgboost	PROPN
cana-5163	287	43	shetty	shetty	PROPN
cana-5163	287	44	et	et	PROPN
cana-5163	287	45	al	al	PROPN
cana-5163	287	46	.	.	PROPN
cana-5163	288	1	(	(	PUNCT
cana-5163	288	2	2025	2025	NUM
cana-5163	288	3	)	)	PUNCT
cana-5163	288	4	emotion	emotion	NOUN
cana-5163	288	5	detection	detection	NOUN
cana-5163	288	6	for	for	ADP
cana-5163	288	7	unravel	unravel	ADJ
cana-5163	288	8	mental	mental	ADJ
cana-5163	288	9	health	health	NOUN
cana-5163	288	10	insights	insight	NOUN
cana-5163	288	11	xlnet	xlnet	PROPN
cana-5163	288	12	,	,	PUNCT
cana-5163	288	13	roberta	roberta	PROPN
cana-5163	288	14	and	and	CCONJ
cana-5163	288	15	electra	electra	PROPN
cana-5163	288	16	merayo	merayo	PROPN
cana-5163	288	17	et	et	PROPN
cana-5163	288	18	al	al	PROPN
cana-5163	288	19	.	.	PROPN
cana-5163	289	1	(	(	PUNCT
cana-5163	289	2	2025	2025	NUM
cana-5163	289	3	)	)	PUNCT
cana-5163	289	4	polarity	polarity	NOUN
cana-5163	289	5	and	and	CCONJ
cana-5163	289	6	stigma	stigma	NOUN
cana-5163	289	7	of	of	ADP
cana-5163	289	8	mental	mental	ADJ
cana-5163	289	9	health	health	NOUN
cana-5163	289	10	disclosures	disclosure	NOUN
cana-5163	289	11	svm	svm	VERB
cana-5163	289	12	,	,	PUNCT
cana-5163	289	13	rf	rf	ADJ
cana-5163	289	14	,	,	PUNCT
cana-5163	289	15	bert	bert	PROPN
cana-5163	289	16	,	,	PUNCT
cana-5163	289	17	lstm	lstm	NOUN
cana-5163	289	18	and	and	CCONJ
cana-5163	289	19	hybrid	hybrid	ADJ
cana-5163	289	20	cnn	cnn	PROPN
cana-5163	289	21	-	-	PUNCT
cana-5163	289	22	lstm	lstm	PROPN
cana-5163	289	23	communications	communication	NOUN
cana-5163	289	24	on	on	ADP
cana-5163	289	25	applied	apply	VERB
cana-5163	289	26	nonlinear	nonlinear	ADJ
cana-5163	289	27	analysis	analysis	NOUN
cana-5163	289	28	issn	issn	NOUN
cana-5163	289	29	:	:	PUNCT
cana-5163	289	30	1074	1074	NUM
cana-5163	289	31	-	-	PUNCT
cana-5163	289	32	133x	133x	NUM
cana-5163	289	33	vol	vol	NOUN
cana-5163	289	34	32	32	NUM
cana-5163	289	35	no	no	NOUN
cana-5163	289	36	.	.	PUNCT
cana-5163	290	1	icmasd	icmasd	NOUN
cana-5163	290	2	(	(	PUNCT
cana-5163	290	3	2025	2025	NUM
cana-5163	290	4	)	)	PUNCT
cana-5163	290	5	1403	1403	NUM
cana-5163	290	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	290	7	vader	vader	NOUN
cana-5163	290	8	with	with	ADP
cana-5163	290	9	all	all	PRON
cana-5163	290	10	of	of	ADP
cana-5163	290	11	individual	individual	ADJ
cana-5163	290	12	models	model	NOUN
cana-5163	290	13	outperformed	outperform	VERB
cana-5163	290	14	with	with	ADP
cana-5163	290	15	bert	bert	PROPN
cana-5163	290	16	,	,	PUNCT
cana-5163	290	17	muse	muse	NOUN
cana-5163	290	18	and	and	CCONJ
cana-5163	290	19	xgboost	xgboost	ADV
cana-5163	290	20	for	for	ADP
cana-5163	290	21	reddit	reddit	NOUN
cana-5163	290	22	dataset	dataset	VERB
cana-5163	290	23	with	with	ADP
cana-5163	290	24	higher	high	ADJ
cana-5163	290	25	accuracy	accuracy	NOUN
cana-5163	290	26	of	of	ADP
cana-5163	290	27	98	98	NUM
cana-5163	290	28	%	%	NOUN
cana-5163	290	29	,	,	PUNCT
cana-5163	290	30	96	96	NUM
cana-5163	290	31	%	%	NOUN
cana-5163	290	32	,	,	PUNCT
cana-5163	290	33	and	and	CCONJ
cana-5163	290	34	95	95	NUM
cana-5163	290	35	%	%	NOUN
cana-5163	290	36	,	,	PUNCT
cana-5163	290	37	respectively	respectively	ADV
cana-5163	290	38	and	and	CCONJ
cana-5163	290	39	97	97	NUM
cana-5163	290	40	%	%	NOUN
cana-5163	290	41	,	,	PUNCT
cana-5163	290	42	95	95	NUM
cana-5163	290	43	%	%	NOUN
cana-5163	290	44	,	,	PUNCT
cana-5163	290	45	and	and	CCONJ
cana-5163	290	46	94	94	NUM
cana-5163	290	47	%	%	NOUN
cana-5163	290	48	on	on	ADP
cana-5163	290	49	x	x	PROPN
cana-5163	290	50	(	(	PUNCT
cana-5163	290	51	twitter	twitter	NOUN
cana-5163	290	52	)	)	PUNCT
cana-5163	290	53	dataset	dataset	NOUN
cana-5163	290	54	(	(	PUNCT
cana-5163	290	55	shukla	shukla	NOUN
cana-5163	290	56	&	&	CCONJ
cana-5163	290	57	singh	singh	PROPN
cana-5163	290	58	,	,	PUNCT
cana-5163	290	59	2024	2024	NUM
cana-5163	290	60	)	)	PUNCT
cana-5163	290	61	.	.	PUNCT
cana-5163	291	1	one	one	NUM
cana-5163	291	2	more	more	ADV
cana-5163	291	3	similar	similar	ADJ
cana-5163	291	4	type	type	NOUN
cana-5163	291	5	of	of	ADP
cana-5163	291	6	study	study	NOUN
cana-5163	291	7	with	with	ADP
cana-5163	291	8	ensemble	ensemble	ADJ
cana-5163	291	9	approach	approach	NOUN
cana-5163	291	10	was	be	AUX
cana-5163	291	11	introduced	introduce	VERB
cana-5163	291	12	by	by	ADP
cana-5163	291	13	shetty	shetty	PROPN
cana-5163	291	14	et	et	PROPN
cana-5163	291	15	al	al	PROPN
cana-5163	291	16	.	.	PROPN
cana-5163	292	1	(	(	PUNCT
cana-5163	292	2	2025	2025	NUM
cana-5163	292	3	)	)	PUNCT
cana-5163	292	4	for	for	ADP
cana-5163	292	5	automatic	automatic	ADJ
cana-5163	292	6	detection	detection	NOUN
cana-5163	292	7	of	of	ADP
cana-5163	292	8	mental	mental	ADJ
cana-5163	292	9	health	health	NOUN
cana-5163	292	10	disorders	disorder	NOUN
cana-5163	292	11	from	from	ADP
cana-5163	292	12	social	social	ADJ
cana-5163	292	13	media	medium	NOUN
cana-5163	292	14	.	.	PUNCT
cana-5163	293	1	three	three	NUM
cana-5163	293	2	fine	fine	ADV
cana-5163	293	3	-	-	PUNCT
cana-5163	293	4	tuned	tune	VERB
cana-5163	293	5	models	model	NOUN
cana-5163	293	6	xlnet	xlnet	PROPN
cana-5163	293	7	,	,	PUNCT
cana-5163	293	8	roberta	roberta	PROPN
cana-5163	293	9	and	and	CCONJ
cana-5163	293	10	electra	electra	PROPN
cana-5163	293	11	employed	employ	VERB
cana-5163	293	12	on	on	ADP
cana-5163	293	13	dataset	dataset	NOUN
cana-5163	293	14	obtained	obtain	VERB
cana-5163	293	15	from	from	ADP
cana-5163	293	16	reddit	reddit	NOUN
cana-5163	293	17	social	social	ADJ
cana-5163	293	18	media	medium	NOUN
cana-5163	293	19	posts	post	NOUN
cana-5163	293	20	with	with	ADP
cana-5163	293	21	15	15	NUM
cana-5163	293	22	distinct	distinct	ADJ
cana-5163	293	23	labels	label	NOUN
cana-5163	293	24	for	for	ADP
cana-5163	293	25	tracking	track	VERB
cana-5163	293	26	mental	mental	ADJ
cana-5163	293	27	health	health	NOUN
cana-5163	293	28	of	of	ADP
cana-5163	293	29	the	the	DET
cana-5163	293	30	users	user	NOUN
cana-5163	293	31	.	.	PUNCT
cana-5163	294	1	after	after	ADP
cana-5163	294	2	evaluating	evaluate	VERB
cana-5163	294	3	predictions	prediction	NOUN
cana-5163	294	4	of	of	ADP
cana-5163	294	5	individual	individual	ADJ
cana-5163	294	6	models	model	NOUN
cana-5163	294	7	,	,	PUNCT
cana-5163	294	8	they	they	PRON
cana-5163	294	9	employed	employ	VERB
cana-5163	294	10	another	another	DET
cana-5163	294	11	voting	voting	NOUN
cana-5163	294	12	ensemble	ensemble	ADJ
cana-5163	294	13	approach	approach	NOUN
cana-5163	294	14	for	for	ADP
cana-5163	294	15	merging	merge	VERB
cana-5163	294	16	the	the	DET
cana-5163	294	17	predictions	prediction	NOUN
cana-5163	294	18	of	of	ADP
cana-5163	294	19	all	all	DET
cana-5163	294	20	three	three	NUM
cana-5163	294	21	independent	independent	ADJ
cana-5163	294	22	models	model	NOUN
cana-5163	294	23	and	and	CCONJ
cana-5163	294	24	this	this	DET
cana-5163	294	25	approach	approach	NOUN
cana-5163	294	26	achieved	achieve	VERB
cana-5163	294	27	higher	high	ADJ
cana-5163	294	28	accuracy	accuracy	NOUN
cana-5163	294	29	of	of	ADP
cana-5163	294	30	0.780	0.780	NUM
cana-5163	294	31	(	(	PUNCT
cana-5163	294	32	shetty	shetty	PROPN
cana-5163	294	33	et	et	PROPN
cana-5163	294	34	al	al	PROPN
cana-5163	294	35	.	.	PROPN
cana-5163	294	36	,	,	PUNCT
cana-5163	294	37	2025	2025	NUM
cana-5163	294	38	)	)	PUNCT
cana-5163	294	39	.	.	PUNCT
cana-5163	295	1	this	this	DET
cana-5163	295	2	study	study	NOUN
cana-5163	295	3	provided	provide	VERB
cana-5163	295	4	a	a	DET
cana-5163	295	5	novel	novel	ADJ
cana-5163	295	6	dataset	dataset	NOUN
cana-5163	295	7	sourced	source	VERB
cana-5163	295	8	directly	directly	ADV
cana-5163	295	9	from	from	ADP
cana-5163	295	10	instagram	instagram	PROPN
cana-5163	295	11	for	for	ADP
cana-5163	295	12	addressing	address	VERB
cana-5163	295	13	the	the	DET
cana-5163	295	14	mental	mental	ADJ
cana-5163	295	15	health	health	NOUN
cana-5163	295	16	conditions	condition	NOUN
cana-5163	295	17	of	of	ADP
cana-5163	295	18	the	the	DET
cana-5163	295	19	spanish	spanish	ADJ
cana-5163	295	20	instagram	instagram	PROPN
cana-5163	295	21	followers	follower	NOUN
cana-5163	295	22	.	.	PUNCT
cana-5163	296	1	merayo	merayo	PROPN
cana-5163	296	2	et	et	PROPN
cana-5163	296	3	al	al	PROPN
cana-5163	296	4	.	.	PROPN
cana-5163	297	1	(	(	PUNCT
cana-5163	297	2	2025	2025	NUM
cana-5163	297	3	)	)	PUNCT
cana-5163	297	4	collected	collect	VERB
cana-5163	297	5	the	the	DET
cana-5163	297	6	fresh	fresh	ADJ
cana-5163	297	7	publication	publication	NOUN
cana-5163	297	8	from	from	ADP
cana-5163	297	9	september	september	PROPN
cana-5163	297	10	to	to	ADP
cana-5163	297	11	december	december	PROPN
cana-5163	297	12	2020	2020	NUM
cana-5163	297	13	and	and	CCONJ
cana-5163	297	14	excluded	exclude	VERB
cana-5163	297	15	males	male	NOUN
cana-5163	297	16	for	for	ADP
cana-5163	297	17	removing	remove	VERB
cana-5163	297	18	biasness	biasness	NOUN
cana-5163	297	19	.	.	PUNCT
cana-5163	298	1	only	only	ADV
cana-5163	298	2	20	20	NUM
cana-5163	298	3	high	high	ADJ
cana-5163	298	4	profile	profile	NOUN
cana-5163	298	5	female	female	ADJ
cana-5163	298	6	followers	follower	NOUN
cana-5163	298	7	were	be	AUX
cana-5163	298	8	identified	identify	VERB
cana-5163	298	9	using	use	VERB
cana-5163	298	10	similar	similar	ADJ
cana-5163	298	11	type	type	NOUN
cana-5163	298	12	of	of	ADP
cana-5163	298	13	comments	comment	NOUN
cana-5163	298	14	on	on	ADP
cana-5163	298	15	depression	depression	NOUN
cana-5163	298	16	and	and	CCONJ
cana-5163	298	17	mental	mental	ADJ
cana-5163	298	18	health	health	NOUN
cana-5163	298	19	issues	issue	NOUN
cana-5163	298	20	.	.	PUNCT
cana-5163	299	1	they	they	PRON
cana-5163	299	2	used	use	VERB
cana-5163	299	3	three	three	NUM
cana-5163	299	4	labels	label	NOUN
cana-5163	299	5	for	for	ADP
cana-5163	299	6	this	this	DET
cana-5163	299	7	type	type	NOUN
cana-5163	299	8	of	of	ADP
cana-5163	299	9	comments	comment	NOUN
cana-5163	299	10	that	that	PRON
cana-5163	299	11	is	be	AUX
cana-5163	299	12	negative	negative	ADJ
cana-5163	299	13	,	,	PUNCT
cana-5163	299	14	positive	positive	ADJ
cana-5163	299	15	and	and	CCONJ
cana-5163	299	16	neutral	neutral	ADJ
cana-5163	299	17	.	.	PUNCT
cana-5163	300	1	svm	svm	PROPN
cana-5163	300	2	,	,	PUNCT
cana-5163	300	3	rf	rf	ADJ
cana-5163	300	4	,	,	PUNCT
cana-5163	300	5	bert	bert	PROPN
cana-5163	300	6	,	,	PUNCT
cana-5163	300	7	lstm	lstm	PROPN
cana-5163	300	8	,	,	PUNCT
cana-5163	300	9	hybrid	hybrid	ADJ
cana-5163	300	10	cnn	cnn	PROPN
cana-5163	300	11	-	-	PUNCT
cana-5163	300	12	lstm	lstm	PROPN
cana-5163	300	13	were	be	AUX
cana-5163	300	14	employed	employ	VERB
cana-5163	300	15	on	on	ADP
cana-5163	300	16	corpus	corpus	PROPN
cana-5163	300	17	and	and	CCONJ
cana-5163	300	18	bert	bert	PROPN
cana-5163	300	19	outperformed	outperform	VERB
cana-5163	300	20	the	the	DET
cana-5163	300	21	state	state	NOUN
cana-5163	300	22	of	of	ADP
cana-5163	300	23	art	art	NOUN
cana-5163	300	24	models	model	NOUN
cana-5163	300	25	with	with	ADP
cana-5163	300	26	96	96	NUM
cana-5163	300	27	%	%	NOUN
cana-5163	300	28	accuracy	accuracy	NOUN
cana-5163	300	29	(	(	PUNCT
cana-5163	300	30	merayo	merayo	NOUN
cana-5163	300	31	et	et	PROPN
cana-5163	300	32	al	al	PROPN
cana-5163	300	33	.	.	PROPN
cana-5163	300	34	,	,	PUNCT
cana-5163	300	35	2025	2025	NUM
cana-5163	300	36	)	)	PUNCT
cana-5163	300	37	.	.	PUNCT
cana-5163	301	1	review	review	NOUN
cana-5163	301	2	studies	study	NOUN
cana-5163	301	3	help	help	VERB
cana-5163	301	4	the	the	DET
cana-5163	301	5	researchers	researcher	NOUN
cana-5163	301	6	for	for	ADP
cana-5163	301	7	detailed	detailed	ADJ
cana-5163	301	8	examination	examination	NOUN
cana-5163	301	9	of	of	ADP
cana-5163	301	10	primary	primary	ADJ
cana-5163	301	11	research	research	NOUN
cana-5163	301	12	for	for	ADP
cana-5163	301	13	new	new	ADJ
cana-5163	301	14	disclosures	disclosure	NOUN
cana-5163	301	15	following	follow	VERB
cana-5163	301	16	the	the	DET
cana-5163	301	17	existing	exist	VERB
cana-5163	301	18	studies	study	NOUN
cana-5163	301	19	.	.	PUNCT
cana-5163	302	1	this	this	DET
cana-5163	302	2	review	review	NOUN
cana-5163	302	3	enlightened	enlighten	VERB
cana-5163	302	4	us	we	PRON
cana-5163	302	5	to	to	ADP
cana-5163	302	6	about	about	ADP
cana-5163	302	7	the	the	DET
cana-5163	302	8	techniques	technique	NOUN
cana-5163	302	9	and	and	CCONJ
cana-5163	302	10	various	various	ADJ
cana-5163	302	11	approaches	approach	NOUN
cana-5163	302	12	employed	employ	VERB
cana-5163	302	13	by	by	ADP
cana-5163	302	14	the	the	DET
cana-5163	302	15	researchers	researcher	NOUN
cana-5163	302	16	to	to	PART
cana-5163	302	17	find	find	VERB
cana-5163	302	18	depressive	depressive	ADJ
cana-5163	302	19	content	content	NOUN
cana-5163	302	20	in	in	ADP
cana-5163	302	21	the	the	DET
cana-5163	302	22	texts	text	NOUN
cana-5163	302	23	of	of	ADP
cana-5163	302	24	users	user	NOUN
cana-5163	302	25	of	of	ADP
cana-5163	302	26	social	social	ADJ
cana-5163	302	27	media	medium	NOUN
cana-5163	302	28	.	.	PUNCT
cana-5163	303	1	we	we	PRON
cana-5163	303	2	learned	learn	VERB
cana-5163	303	3	that	that	SCONJ
cana-5163	303	4	twitter	twitter	NOUN
cana-5163	303	5	,	,	PUNCT
cana-5163	303	6	reddit	reddit	NOUN
cana-5163	303	7	and	and	CCONJ
cana-5163	303	8	facebook	facebook	PROPN
cana-5163	303	9	are	be	AUX
cana-5163	303	10	the	the	DET
cana-5163	303	11	prominent	prominent	ADJ
cana-5163	303	12	platforms	platform	NOUN
cana-5163	303	13	where	where	SCONJ
cana-5163	303	14	users	user	NOUN
cana-5163	303	15	spent	spend	VERB
cana-5163	303	16	their	their	PRON
cana-5163	303	17	time	time	NOUN
cana-5163	303	18	and	and	CCONJ
cana-5163	303	19	share	share	VERB
cana-5163	303	20	every	every	DET
cana-5163	303	21	moment	moment	NOUN
cana-5163	303	22	of	of	ADP
cana-5163	303	23	their	their	PRON
cana-5163	303	24	life	life	NOUN
cana-5163	303	25	.	.	PUNCT
cana-5163	304	1	so	so	ADV
cana-5163	304	2	maximum	maximum	ADJ
cana-5163	304	3	studies	study	NOUN
cana-5163	304	4	are	be	AUX
cana-5163	304	5	performed	perform	VERB
cana-5163	304	6	research	research	NOUN
cana-5163	304	7	on	on	ADP
cana-5163	304	8	the	the	DET
cana-5163	304	9	data	datum	NOUN
cana-5163	304	10	of	of	ADP
cana-5163	304	11	these	these	DET
cana-5163	304	12	sites	site	NOUN
cana-5163	304	13	for	for	ADP
cana-5163	304	14	depression	depression	NOUN
cana-5163	304	15	detection	detection	NOUN
cana-5163	304	16	and	and	CCONJ
cana-5163	304	17	for	for	ADP
cana-5163	304	18	other	other	ADJ
cana-5163	304	19	mental	mental	ADJ
cana-5163	304	20	health	health	NOUN
cana-5163	304	21	analysis	analysis	NOUN
cana-5163	304	22	.	.	PUNCT
cana-5163	305	1	5	5	X
cana-5163	305	2	.	.	X
cana-5163	305	3	conclusion	conclusion	NOUN
cana-5163	305	4	a	a	DET
cana-5163	305	5	detailed	detailed	ADJ
cana-5163	305	6	examination	examination	NOUN
cana-5163	305	7	of	of	ADP
cana-5163	305	8	primary	primary	ADJ
cana-5163	305	9	research	research	NOUN
cana-5163	305	10	in	in	ADP
cana-5163	305	11	the	the	DET
cana-5163	305	12	field	field	NOUN
cana-5163	305	13	of	of	ADP
cana-5163	305	14	depression	depression	NOUN
cana-5163	305	15	detection	detection	NOUN
cana-5163	305	16	from	from	ADP
cana-5163	305	17	social	social	ADJ
cana-5163	305	18	media	medium	NOUN
cana-5163	305	19	has	have	AUX
cana-5163	305	20	illuminated	illuminate	VERB
cana-5163	305	21	several	several	ADJ
cana-5163	305	22	key	key	ADJ
cana-5163	305	23	aspects	aspect	NOUN
cana-5163	305	24	.	.	PUNCT
cana-5163	306	1	1	1	X
cana-5163	306	2	.	.	X
cana-5163	306	3	the	the	DET
cana-5163	306	4	evolution	evolution	NOUN
cana-5163	306	5	of	of	ADP
cana-5163	306	6	techniques	technique	NOUN
cana-5163	306	7	,	,	PUNCT
cana-5163	306	8	incorporating	incorporate	VERB
cana-5163	306	9	feature	feature	NOUN
cana-5163	306	10	embeddings	embedding	NOUN
cana-5163	306	11	for	for	ADP
cana-5163	306	12	the	the	DET
cana-5163	306	13	detection	detection	NOUN
cana-5163	306	14	of	of	ADP
cana-5163	306	15	mental	mental	ADJ
cana-5163	306	16	health	health	NOUN
cana-5163	306	17	disorders	disorder	NOUN
cana-5163	306	18	,	,	PUNCT
cana-5163	306	19	including	include	VERB
cana-5163	306	20	depression	depression	NOUN
cana-5163	306	21	.	.	PUNCT
cana-5163	307	1	2	2	X
cana-5163	307	2	.	.	X
cana-5163	307	3	the	the	DET
cana-5163	307	4	application	application	NOUN
cana-5163	307	5	of	of	ADP
cana-5163	307	6	multimodal	multimodal	NOUN
cana-5163	307	7	,	,	PUNCT
cana-5163	307	8	multiclass	multiclass	ADJ
cana-5163	307	9	,	,	PUNCT
cana-5163	307	10	and	and	CCONJ
cana-5163	307	11	shared	share	VERB
cana-5163	307	12	-	-	PUNCT
cana-5163	307	13	task	task	NOUN
cana-5163	307	14	techniques	technique	NOUN
cana-5163	307	15	to	to	PART
cana-5163	307	16	address	address	VERB
cana-5163	307	17	the	the	DET
cana-5163	307	18	previously	previously	ADV
cana-5163	307	19	overlooked	overlook	VERB
cana-5163	307	20	insights	insight	NOUN
cana-5163	307	21	related	relate	VERB
cana-5163	307	22	to	to	ADP
cana-5163	307	23	depression	depression	NOUN
cana-5163	307	24	in	in	ADP
cana-5163	307	25	social	social	ADJ
cana-5163	307	26	media	medium	NOUN
cana-5163	307	27	content	content	NOUN
cana-5163	307	28	.	.	PUNCT
cana-5163	308	1	3	3	X
cana-5163	308	2	.	.	X
cana-5163	309	1	the	the	DET
cana-5163	309	2	challenges	challenge	NOUN
cana-5163	309	3	to	to	PART
cana-5163	309	4	be	be	AUX
cana-5163	309	5	addressed	address	VERB
cana-5163	309	6	,	,	PUNCT
cana-5163	309	7	such	such	ADJ
cana-5163	309	8	as	as	ADP
cana-5163	309	9	privacy	privacy	NOUN
cana-5163	309	10	and	and	CCONJ
cana-5163	309	11	ethical	ethical	ADJ
cana-5163	309	12	concerns	concern	NOUN
cana-5163	309	13	surrounding	surround	VERB
cana-5163	309	14	user	user	NOUN
cana-5163	309	15	data	datum	NOUN
cana-5163	309	16	collection	collection	NOUN
cana-5163	309	17	.	.	PUNCT
cana-5163	310	1	4	4	NUM
cana-5163	310	2	the	the	DET
cana-5163	310	3	use	use	NOUN
cana-5163	310	4	of	of	ADP
cana-5163	310	5	advanced	advanced	ADJ
cana-5163	310	6	natural	natural	ADJ
cana-5163	310	7	language	language	NOUN
cana-5163	310	8	processing	processing	NOUN
cana-5163	310	9	features	feature	NOUN
cana-5163	310	10	,	,	PUNCT
cana-5163	310	11	such	such	ADJ
cana-5163	310	12	as	as	ADP
cana-5163	310	13	xlnet	xlnet	PROPN
cana-5163	310	14	,	,	PUNCT
cana-5163	310	15	glove	glove	NOUN
cana-5163	310	16	,	,	PUNCT
cana-5163	310	17	and	and	CCONJ
cana-5163	310	18	word2vec	word2vec	X
cana-5163	310	19	,	,	PUNCT
cana-5163	310	20	for	for	ADP
cana-5163	310	21	pre	pre	ADJ
cana-5163	310	22	-	-	ADJ
cana-5163	310	23	processing	processing	NOUN
cana-5163	310	24	,	,	PUNCT
cana-5163	310	25	which	which	PRON
cana-5163	310	26	has	have	AUX
cana-5163	310	27	enhanced	enhance	VERB
cana-5163	310	28	the	the	DET
cana-5163	310	29	potential	potential	NOUN
cana-5163	310	30	of	of	ADP
cana-5163	310	31	multimodal	multimodal	NOUN
cana-5163	310	32	approaches	approach	NOUN
cana-5163	310	33	.	.	PUNCT
cana-5163	311	1	5	5	X
cana-5163	311	2	.	.	X
cana-5163	311	3	the	the	DET
cana-5163	311	4	availability	availability	NOUN
cana-5163	311	5	of	of	ADP
cana-5163	311	6	open	open	ADJ
cana-5163	311	7	-	-	PUNCT
cana-5163	311	8	source	source	NOUN
cana-5163	311	9	platforms	platform	NOUN
cana-5163	311	10	like	like	ADP
cana-5163	311	11	kaggle	kaggle	PROPN
cana-5163	311	12	,	,	PUNCT
cana-5163	311	13	github	github	NOUN
cana-5163	311	14	,	,	PUNCT
cana-5163	311	15	and	and	CCONJ
cana-5163	311	16	clpsych	clpsych	PROPN
cana-5163	311	17	,	,	PUNCT
cana-5163	311	18	which	which	PRON
cana-5163	311	19	provide	provide	VERB
cana-5163	311	20	valuable	valuable	ADJ
cana-5163	311	21	datasets	dataset	NOUN
cana-5163	311	22	.	.	PUNCT
cana-5163	312	1	future	future	ADJ
cana-5163	312	2	research	research	NOUN
cana-5163	312	3	should	should	AUX
cana-5163	312	4	aim	aim	VERB
cana-5163	312	5	to	to	PART
cana-5163	312	6	fill	fill	VERB
cana-5163	312	7	the	the	DET
cana-5163	312	8	gaps	gap	NOUN
cana-5163	312	9	identified	identify	VERB
cana-5163	312	10	in	in	ADP
cana-5163	312	11	earlier	early	ADJ
cana-5163	312	12	studies	study	NOUN
cana-5163	312	13	,	,	PUNCT
cana-5163	312	14	such	such	ADJ
cana-5163	312	15	as	as	ADP
cana-5163	312	16	the	the	DET
cana-5163	312	17	development	development	NOUN
cana-5163	312	18	of	of	ADP
cana-5163	312	19	multimodal	multimodal	NOUN
cana-5163	312	20	or	or	CCONJ
cana-5163	312	21	ensemble	ensemble	ADJ
cana-5163	312	22	models	model	NOUN
cana-5163	312	23	with	with	ADP
cana-5163	312	24	feature	feature	NOUN
cana-5163	312	25	embeddings	embedding	NOUN
cana-5163	312	26	using	use	VERB
cana-5163	312	27	the	the	DET
cana-5163	312	28	latest	late	ADJ
cana-5163	312	29	nlp	nlp	NOUN
cana-5163	312	30	techniques	technique	NOUN
cana-5163	312	31	,	,	PUNCT
cana-5163	312	32	the	the	DET
cana-5163	312	33	creation	creation	NOUN
cana-5163	312	34	of	of	ADP
cana-5163	312	35	multilingual	multilingual	ADJ
cana-5163	312	36	models	model	NOUN
cana-5163	312	37	for	for	ADP
cana-5163	312	38	cross	cross	ADJ
cana-5163	312	39	-	-	ADJ
cana-5163	312	40	cultural	cultural	ADJ
cana-5163	312	41	platforms	platform	NOUN
cana-5163	312	42	,	,	PUNCT
cana-5163	312	43	and	and	CCONJ
cana-5163	312	44	the	the	DET
cana-5163	312	45	discovery	discovery	NOUN
cana-5163	312	46	of	of	ADP
cana-5163	312	47	new	new	ADJ
cana-5163	312	48	corpora	corpora	NOUN
cana-5163	312	49	by	by	ADP
cana-5163	312	50	incorporating	incorporate	VERB
cana-5163	312	51	multiple	multiple	ADJ
cana-5163	312	52	datasets	dataset	NOUN
cana-5163	312	53	,	,	PUNCT
cana-5163	312	54	the	the	DET
cana-5163	312	55	exploration	exploration	NOUN
cana-5163	312	56	of	of	ADP
cana-5163	312	57	depression	depression	NOUN
cana-5163	312	58	detection	detection	NOUN
cana-5163	312	59	on	on	ADP
cana-5163	312	60	platforms	platform	NOUN
cana-5163	312	61	beyond	beyond	ADP
cana-5163	312	62	reddit	reddit	NOUN
cana-5163	312	63	,	,	PUNCT
cana-5163	312	64	twitter	twitter	NOUN
cana-5163	312	65	,	,	PUNCT
cana-5163	312	66	and	and	CCONJ
cana-5163	312	67	facebook	facebook	NOUN
cana-5163	312	68	.	.	PUNCT
cana-5163	313	1	furthermore	furthermore	ADV
cana-5163	313	2	,	,	PUNCT
cana-5163	313	3	research	research	NOUN
cana-5163	313	4	should	should	AUX
cana-5163	313	5	be	be	AUX
cana-5163	313	6	conducted	conduct	VERB
cana-5163	313	7	with	with	ADP
cana-5163	313	8	user	user	NOUN
cana-5163	313	9	consent	consent	NOUN
cana-5163	313	10	to	to	PART
cana-5163	313	11	mitigate	mitigate	VERB
cana-5163	313	12	bias	bias	NOUN
cana-5163	313	13	and	and	CCONJ
cana-5163	313	14	ensure	ensure	VERB
cana-5163	313	15	accurate	accurate	ADJ
cana-5163	313	16	results	result	NOUN
cana-5163	313	17	,	,	PUNCT
cana-5163	313	18	while	while	SCONJ
cana-5163	313	19	also	also	ADV
cana-5163	313	20	addressing	address	VERB
cana-5163	313	21	privacy	privacy	NOUN
cana-5163	313	22	and	and	CCONJ
cana-5163	313	23	ethical	ethical	ADJ
cana-5163	313	24	concerns	concern	NOUN
cana-5163	313	25	during	during	ADP
cana-5163	313	26	such	such	ADJ
cana-5163	313	27	studies	study	NOUN
cana-5163	313	28	.	.	PUNCT
cana-5163	314	1	communications	communication	NOUN
cana-5163	314	2	on	on	ADP
cana-5163	314	3	applied	apply	VERB
cana-5163	314	4	nonlinear	nonlinear	ADJ
cana-5163	314	5	analysis	analysis	NOUN
cana-5163	314	6	issn	issn	NOUN
cana-5163	314	7	:	:	PUNCT
cana-5163	314	8	1074	1074	NUM
cana-5163	314	9	-	-	PUNCT
cana-5163	314	10	133x	133x	NUM
cana-5163	314	11	vol	vol	NOUN
cana-5163	314	12	32	32	NUM
cana-5163	314	13	no	no	NOUN
cana-5163	314	14	.	.	PUNCT
cana-5163	315	1	icmasd	icmasd	NOUN
cana-5163	315	2	(	(	PUNCT
cana-5163	315	3	2025	2025	NUM
cana-5163	315	4	)	)	PUNCT
cana-5163	315	5	1404	1404	NUM
cana-5163	315	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	316	1	this	this	DET
cana-5163	316	2	review	review	NOUN
cana-5163	316	3	study	study	NOUN
cana-5163	316	4	provides	provide	VERB
cana-5163	316	5	the	the	DET
cana-5163	316	6	overview	overview	NOUN
cana-5163	316	7	of	of	ADP
cana-5163	316	8	techniques	technique	NOUN
cana-5163	316	9	and	and	CCONJ
cana-5163	316	10	datasets	dataset	NOUN
cana-5163	316	11	used	use	VERB
cana-5163	316	12	for	for	ADP
cana-5163	316	13	depression	depression	NOUN
cana-5163	316	14	detection	detection	NOUN
cana-5163	316	15	in	in	ADP
cana-5163	316	16	social	social	ADJ
cana-5163	316	17	media	medium	NOUN
cana-5163	316	18	.	.	PUNCT
cana-5163	317	1	future	future	ADJ
cana-5163	317	2	research	research	NOUN
cana-5163	317	3	can	can	AUX
cana-5163	317	4	be	be	AUX
cana-5163	317	5	carried	carry	VERB
cana-5163	317	6	out	out	ADP
cana-5163	317	7	to	to	PART
cana-5163	317	8	fulfil	fulfil	VERB
cana-5163	317	9	the	the	DET
cana-5163	317	10	research	research	NOUN
cana-5163	317	11	gaps	gap	NOUN
cana-5163	317	12	following	follow	VERB
cana-5163	317	13	the	the	DET
cana-5163	317	14	future	future	ADJ
cana-5163	317	15	directions	direction	NOUN
cana-5163	317	16	based	base	VERB
cana-5163	317	17	on	on	ADP
cana-5163	317	18	exiting	exit	VERB
cana-5163	317	19	studies	study	NOUN
cana-5163	317	20	.	.	PUNCT
cana-5163	318	1	abbreviations	abbreviation	NOUN
cana-5163	318	2	svm	svm	VERB
cana-5163	318	3	support	support	NOUN
cana-5163	318	4	vector	vector	NOUN
cana-5163	318	5	machine	machine	NOUN
cana-5163	318	6	nb	nb	PROPN
cana-5163	318	7	naïve	naïve	PROPN
cana-5163	318	8	bayes	bayes	PROPN
cana-5163	318	9	lr	lr	X
cana-5163	318	10	logistic	logistic	ADJ
cana-5163	318	11	regression	regression	NOUN
cana-5163	318	12	dtdecision	dtdecision	NOUN
cana-5163	318	13	tree	tree	NOUN
cana-5163	318	14	ann	ann	PROPN
cana-5163	318	15	artificial	artificial	ADJ
cana-5163	318	16	neural	neural	ADJ
cana-5163	318	17	network	network	NOUN
cana-5163	318	18	knn	knn	PROPN
cana-5163	318	19	knearest	knearest	PROPN
cana-5163	318	20	neighbors	neighbor	NOUN
cana-5163	318	21	gb	gb	ADP
cana-5163	318	22	gradient	gradient	NOUN
cana-5163	318	23	bosting	boste	VERB
cana-5163	318	24	xgboost	xgboost	ADV
cana-5163	318	25	extreme	extreme	ADJ
cana-5163	318	26	gradient	gradient	NOUN
cana-5163	318	27	bosting	boste	VERB
cana-5163	318	28	rnn	rnn	VERB
cana-5163	318	29	recurrent	recurrent	ADJ
cana-5163	318	30	neural	neural	ADJ
cana-5163	318	31	network	network	NOUN
cana-5163	318	32	cnn	cnn	PROPN
cana-5163	318	33	convolutional	convolutional	ADJ
cana-5163	318	34	neural	neural	ADJ
cana-5163	318	35	network	network	NOUN
cana-5163	318	36	xlnet	xlnet	PROPN
cana-5163	319	1	extra	extra	ADJ
cana-5163	319	2	-	-	ADJ
cana-5163	319	3	long	long	ADJ
cana-5163	319	4	network	network	NOUN
cana-5163	319	5	lstm	lstm	NOUN
cana-5163	319	6	long	long	ADJ
cana-5163	319	7	short	short	ADJ
cana-5163	319	8	-	-	PUNCT
cana-5163	319	9	term	term	NOUN
cana-5163	319	10	memory	memory	NOUN
cana-5163	319	11	bilstm	bilstm	NOUN
cana-5163	319	12	bidirectional	bidirectional	NOUN
cana-5163	319	13	long	long	ADJ
cana-5163	319	14	short	short	ADJ
cana-5163	319	15	-	-	PUNCT
cana-5163	319	16	term	term	NOUN
cana-5163	319	17	memory	memory	NOUN
cana-5163	319	18	bert	bert	PROPN
cana-5163	319	19	bidirectional	bidirectional	ADJ
cana-5163	319	20	encoder	encoder	NOUN
cana-5163	319	21	representations	representation	VERB
cana-5163	319	22	from	from	ADP
cana-5163	319	23	transformers	transformer	NOUN
cana-5163	319	24	roberta	roberta	PROPN
cana-5163	319	25	robustly	robustly	ADV
cana-5163	319	26	optimized	optimize	VERB
cana-5163	319	27	bidirectional	bidirectional	ADJ
cana-5163	319	28	encoder	encoder	NOUN
cana-5163	319	29	representations	representation	VERB
cana-5163	319	30	from	from	ADP
cana-5163	319	31	transformers	transformer	NOUN
cana-5163	319	32	distibert	distibert	VERB
cana-5163	319	33	distilled	distil	VERB
cana-5163	319	34	bidirectional	bidirectional	ADJ
cana-5163	319	35	encoder	encoder	NOUN
cana-5163	319	36	representations	representation	VERB
cana-5163	319	37	from	from	ADP
cana-5163	319	38	transformers	transformer	NOUN
cana-5163	319	39	debert	debert	ADJ
cana-5163	319	40	decoding	decode	VERB
cana-5163	319	41	enhanced	enhance	VERB
cana-5163	319	42	bidirectional	bidirectional	ADJ
cana-5163	319	43	encoder	encoder	NOUN
cana-5163	319	44	representations	representation	VERB
cana-5163	319	45	from	from	ADP
cana-5163	319	46	transformers	transformer	NOUN
cana-5163	319	47	mentalbert	mentalbert	VERB
cana-5163	319	48	mental	mental	ADJ
cana-5163	319	49	health	health	PROPN
cana-5163	319	50	bidirectional	bidirectional	NOUN
cana-5163	319	51	encoder	encoder	NOUN
cana-5163	319	52	representations	representation	VERB
cana-5163	319	53	from	from	ADP
cana-5163	319	54	transformers	transformer	NOUN
cana-5163	319	55	lime	lime	PROPN
cana-5163	319	56	local	local	ADJ
cana-5163	319	57	interpretable	interpretable	ADJ
cana-5163	319	58	model	model	ADJ
cana-5163	319	59	-	-	ADJ
cana-5163	319	60	agnostic	agnostic	ADJ
cana-5163	319	61	explanations	explanation	NOUN
cana-5163	319	62	tfifd	tfifd	NOUN
cana-5163	319	63	term	term	NOUN
cana-5163	319	64	frequency	frequency	NOUN
cana-5163	319	65	–	–	PUNCT
cana-5163	319	66	inverts	invert	VERB
cana-5163	319	67	document	document	NOUN
cana-5163	319	68	frequency	frequency	NOUN
cana-5163	319	69	word2ve	word2ve	ADJ
cana-5163	319	70	word	word	NOUN
cana-5163	319	71	to	to	ADP
cana-5163	319	72	vector	vector	NOUN
cana-5163	319	73	glove	glove	NOUN
cana-5163	319	74	global	global	ADJ
cana-5163	319	75	vector	vector	NOUN
cana-5163	319	76	relu	relu	NOUN
cana-5163	319	77	rectified	rectify	VERB
cana-5163	319	78	linear	linear	PROPN
cana-5163	319	79	unit	unit	NOUN
cana-5163	319	80	mil	mil	PROPN
cana-5163	319	81	-	-	PUNCT
cana-5163	319	82	socnet	socnet	NOUN
cana-5163	319	83	multiple	multiple	ADJ
cana-5163	319	84	instance	instance	NOUN
cana-5163	319	85	learning	learning	NOUN
cana-5163	319	86	and	and	CCONJ
cana-5163	319	87	social	social	ADJ
cana-5163	319	88	network	network	NOUN
cana-5163	319	89	mila	mila	PROPN
cana-5163	319	90	-	-	PUNCT
cana-5163	319	91	socnet	socnet	NOUN
cana-5163	319	92	multiple	multiple	ADJ
cana-5163	319	93	instance	instance	NOUN
cana-5163	319	94	learning	learn	VERB
cana-5163	319	95	with	with	ADP
cana-5163	319	96	anaphora	anaphora	ADJ
cana-5163	319	97	resolution	resolution	NOUN
cana-5163	319	98	and	and	CCONJ
cana-5163	319	99	social	social	ADJ
cana-5163	319	100	network	network	NOUN
cana-5163	319	101	dass-42	dass-42	PROPN
cana-5163	319	102	depression	depression	NOUN
cana-5163	319	103	,	,	PUNCT
cana-5163	319	104	anxiety	anxiety	NOUN
cana-5163	319	105	,	,	PUNCT
cana-5163	319	106	and	and	CCONJ
cana-5163	319	107	stress	stress	NOUN
cana-5163	319	108	scale	scale	NOUN
cana-5163	319	109	42	42	NUM
cana-5163	319	110	items	item	NOUN
cana-5163	319	111	.	.	PUNCT
cana-5163	320	1	communications	communication	NOUN
cana-5163	320	2	on	on	ADP
cana-5163	320	3	applied	apply	VERB
cana-5163	320	4	nonlinear	nonlinear	ADJ
cana-5163	320	5	analysis	analysis	NOUN
cana-5163	320	6	issn	issn	NOUN
cana-5163	320	7	:	:	PUNCT
cana-5163	320	8	1074	1074	NUM
cana-5163	320	9	-	-	PUNCT
cana-5163	320	10	133x	133x	NUM
cana-5163	320	11	vol	vol	NOUN
cana-5163	320	12	32	32	NUM
cana-5163	320	13	no	no	NOUN
cana-5163	320	14	.	.	PUNCT
cana-5163	321	1	icmasd	icmasd	NOUN
cana-5163	321	2	(	(	PUNCT
cana-5163	321	3	2025	2025	NUM
cana-5163	321	4	)	)	PUNCT
cana-5163	321	5	1405	1405	NUM
cana-5163	321	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	321	7	dsm	dsm	PROPN
cana-5163	321	8	-	-	PUNCT
cana-5163	321	9	v	v	NOUN
cana-5163	321	10	diagnostic	diagnostic	ADJ
cana-5163	321	11	and	and	CCONJ
cana-5163	321	12	statistical	statistical	ADJ
cana-5163	321	13	manual	manual	NOUN
cana-5163	321	14	of	of	ADP
cana-5163	321	15	mental	mental	ADJ
cana-5163	321	16	disorders	disorder	NOUN
cana-5163	321	17	,	,	PUNCT
cana-5163	321	18	fifth	fifth	PROPN
cana-5163	321	19	edition	edition	PROPN
cana-5163	321	20	doris	doris	PROPN
cana-5163	321	21	diagnostic	diagnostic	PROPN
cana-5163	321	22	criteria	criterion	NOUN
cana-5163	321	23	-	-	PUNCT
cana-5163	321	24	guided	guide	VERB
cana-5163	321	25	mood	mood	NOUN
cana-5163	321	26	history	history	NOUN
cana-5163	321	27	-	-	PUNCT
cana-5163	321	28	aware	aware	ADJ
cana-5163	321	29	auc	auc	NOUN
cana-5163	321	30	-	-	PUNCT
cana-5163	321	31	roc	roc	NOUN
cana-5163	321	32	area	area	NOUN
cana-5163	321	33	under	under	ADP
cana-5163	321	34	curve	curve	NOUN
cana-5163	321	35	-	-	PUNCT
cana-5163	321	36	receiver	receiver	NOUN
cana-5163	321	37	operating	operate	VERB
cana-5163	321	38	characteristic	characteristic	ADJ
cana-5163	321	39	mcnn	mcnn	NOUN
cana-5163	321	40	-	-	PUNCT
cana-5163	321	41	ia	ia	PROPN
cana-5163	321	42	multiple	multiple	ADJ
cana-5163	321	43	channel	channel	NOUN
cana-5163	321	44	convolutional	convolutional	ADJ
cana-5163	321	45	neural	neural	ADJ
cana-5163	321	46	network	network	NOUN
cana-5163	321	47	–	–	PUNCT
cana-5163	321	48	individual	individual	ADJ
cana-5163	321	49	attention	attention	NOUN
cana-5163	321	50	fnn	fnn	NOUN
cana-5163	321	51	feed	feed	VERB
cana-5163	321	52	forward	forward	ADV
cana-5163	321	53	neural	neural	ADJ
cana-5163	321	54	network	network	NOUN
cana-5163	321	55	llms	llm	VERB
cana-5163	321	56	large	large	ADJ
cana-5163	321	57	language	language	NOUN
cana-5163	321	58	models	model	NOUN
cana-5163	321	59	mentalllama	mentalllama	NOUN
cana-5163	321	60	mental	mental	ADJ
cana-5163	321	61	language	language	NOUN
cana-5163	321	62	learning	learning	NOUN
cana-5163	321	63	model	model	NOUN
cana-5163	321	64	for	for	ADP
cana-5163	321	65	autism	autism	NOUN
cana-5163	321	66	dass-42	dass-42	PROPN
cana-5163	321	67	depression	depression	PROPN
cana-5163	321	68	,	,	PUNCT
cana-5163	321	69	anxiety	anxiety	NOUN
cana-5163	321	70	,	,	PUNCT
cana-5163	321	71	and	and	CCONJ
cana-5163	321	72	stress	stress	NOUN
cana-5163	321	73	scale	scale	NOUN
cana-5163	321	74	42	42	NUM
cana-5163	321	75	items	item	NOUN
cana-5163	321	76	.	.	PUNCT
cana-5163	322	1	dsm	dsm	PROPN
cana-5163	322	2	-	-	PUNCT
cana-5163	322	3	v	v	NOUN
cana-5163	322	4	diagnostic	diagnostic	ADJ
cana-5163	322	5	and	and	CCONJ
cana-5163	322	6	statistical	statistical	ADJ
cana-5163	322	7	manual	manual	NOUN
cana-5163	322	8	of	of	ADP
cana-5163	322	9	mental	mental	ADJ
cana-5163	322	10	disorders	disorder	NOUN
cana-5163	322	11	,	,	PUNCT
cana-5163	322	12	fifth	fifth	PROPN
cana-5163	322	13	edition	edition	PROPN
cana-5163	322	14	doris	doris	PROPN
cana-5163	322	15	diagnostic	diagnostic	PROPN
cana-5163	322	16	criteria	criterion	NOUN
cana-5163	322	17	-	-	PUNCT
cana-5163	322	18	guided	guide	VERB
cana-5163	322	19	mood	mood	NOUN
cana-5163	322	20	history	history	NOUN
cana-5163	322	21	-	-	PUNCT
cana-5163	322	22	aware	aware	ADJ
cana-5163	322	23	swdd	swdd	NOUN
cana-5163	322	24	social	social	ADJ
cana-5163	322	25	web	web	NOUN
cana-5163	322	26	depression	depression	NOUN
cana-5163	322	27	detection	detection	NOUN
cana-5163	322	28	gru	gru	NOUN
cana-5163	322	29	gated	gate	VERB
cana-5163	322	30	recurrent	recurrent	ADJ
cana-5163	322	31	unit	unit	NOUN
cana-5163	322	32	htn	htn	PROPN
cana-5163	322	33	hierarchal	hierarchal	PROPN
cana-5163	322	34	transformer	transformer	NOUN
cana-5163	322	35	network	network	NOUN
cana-5163	322	36	imhi	imhi	VERB
cana-5163	322	37	interpretable	interpretable	ADJ
cana-5163	322	38	mental	mental	ADJ
cana-5163	322	39	health	health	NOUN
cana-5163	322	40	instruction	instruction	NOUN
cana-5163	322	41	vader	vader	NOUN
cana-5163	322	42	valence	valence	NOUN
cana-5163	322	43	aware	aware	ADJ
cana-5163	322	44	dictionary	dictionary	ADJ
cana-5163	322	45	and	and	CCONJ
cana-5163	322	46	sentiment	sentiment	NOUN
cana-5163	322	47	reasoner	reasoner	NOUN
cana-5163	322	48	muse	muse	NOUN
cana-5163	322	49	multilingual	multilingual	NOUN
cana-5163	322	50	unsupervised	unsupervised	ADJ
cana-5163	322	51	and	and	CCONJ
cana-5163	322	52	supervised	supervise	VERB
cana-5163	322	53	embedding	embed	VERB
cana-5163	322	54	electra	electra	NOUN
cana-5163	322	55	efficiently	efficiently	ADV
cana-5163	322	56	learning	learning	NOUN
cana-5163	322	57	and	and	CCONJ
cana-5163	322	58	encoder	encoder	NOUN
cana-5163	322	59	that	that	PRON
cana-5163	322	60	classifies	classifies	AUX
cana-5163	322	61	token	token	VERB
cana-5163	322	62	replacements	replacement	NOUN
cana-5163	322	63	accurately	accurately	ADV
cana-5163	322	64	references	reference	VERB
cana-5163	322	65	[	[	X
cana-5163	322	66	1	1	NUM
cana-5163	322	67	]	]	X
cana-5163	322	68	adarsh	adarsh	NOUN
cana-5163	322	69	,	,	PUNCT
cana-5163	322	70	v.	v.	ADV
cana-5163	322	71	,	,	PUNCT
cana-5163	322	72	arun	arun	PROPN
cana-5163	322	73	kumar	kumar	PROPN
cana-5163	322	74	,	,	PUNCT
cana-5163	322	75	p.	p.	PROPN
cana-5163	322	76	,	,	PUNCT
cana-5163	322	77	lavanya	lavanya	NOUN
cana-5163	322	78	,	,	PUNCT
cana-5163	322	79	v.	v.	ADJ
cana-5163	322	80	,	,	PUNCT
cana-5163	322	81	&	&	CCONJ
cana-5163	322	82	gangadharan	gangadharan	NOUN
cana-5163	322	83	,	,	PUNCT
cana-5163	322	84	g.	g.	PROPN
cana-5163	322	85	r.	r.	PROPN
cana-5163	322	86	(	(	PUNCT
cana-5163	322	87	2023	2023	NUM
cana-5163	322	88	)	)	PUNCT
cana-5163	322	89	.	.	PUNCT
cana-5163	323	1	fair	fair	ADJ
cana-5163	323	2	and	and	CCONJ
cana-5163	323	3	explainable	explainable	ADJ
cana-5163	323	4	depression	depression	NOUN
cana-5163	323	5	detection	detection	NOUN
cana-5163	323	6	in	in	ADP
cana-5163	323	7	social	social	ADJ
cana-5163	323	8	media	medium	NOUN
cana-5163	323	9	.	.	PUNCT
cana-5163	324	1	information	information	NOUN
cana-5163	324	2	processing	processing	NOUN
cana-5163	324	3	and	and	CCONJ
cana-5163	324	4	management	management	NOUN
cana-5163	324	5	,	,	PUNCT
cana-5163	324	6	60(1	60(1	NUM
cana-5163	324	7	)	)	PUNCT
cana-5163	324	8	,	,	PUNCT
cana-5163	324	9	103168	103168	NUM
cana-5163	324	10	.	.	PUNCT
cana-5163	325	1	https://doi.org/10.1016/j.ipm.2022.103168	https://doi.org/10.1016/j.ipm.2022.103168	PUNCT
cana-5163	326	1	[	[	X
cana-5163	326	2	2	2	NUM
cana-5163	326	3	]	]	X
cana-5163	326	4	al	al	PROPN
cana-5163	326	5	asad	asad	PROPN
cana-5163	326	6	,	,	PUNCT
cana-5163	326	7	n.	n.	NOUN
cana-5163	326	8	,	,	PUNCT
cana-5163	326	9	mahmud	mahmud	PROPN
cana-5163	326	10	pranto	pranto	NOUN
cana-5163	326	11	,	,	PUNCT
cana-5163	326	12	m.	m.	NOUN
cana-5163	326	13	a.	a.	PROPN
cana-5163	326	14	,	,	PUNCT
cana-5163	326	15	&	&	CCONJ
cana-5163	326	16	afreen	afreen	PROPN
cana-5163	326	17	,	,	PUNCT
cana-5163	326	18	s.	s.	PROPN
cana-5163	326	19	(	(	PUNCT
cana-5163	326	20	2019	2019	NUM
cana-5163	326	21	)	)	PUNCT
cana-5163	326	22	.	.	PUNCT
cana-5163	327	1	2019	2019	NUM
cana-5163	327	2	ieee	ieee	PROPN
cana-5163	327	3	international	international	ADJ
cana-5163	327	4	conference	conference	NOUN
cana-5163	327	5	on	on	ADP
cana-5163	327	6	signal	signal	ADJ
cana-5163	327	7	processing	processing	NOUN
cana-5163	327	8	,	,	PUNCT
cana-5163	327	9	information	information	NOUN
cana-5163	327	10	,	,	PUNCT
cana-5163	327	11	communication	communication	NOUN
cana-5163	327	12	&	&	CCONJ
cana-5163	327	13	systems	system	NOUN
cana-5163	327	14	(	(	PUNCT
cana-5163	327	15	spicscon	spicscon	NOUN
cana-5163	327	16	)	)	PUNCT
cana-5163	327	17	 	 	SPACE
cana-5163	327	18	:	:	PUNCT
cana-5163	327	19	28th-30th	28th-30th	NUM
cana-5163	327	20	november	november	PROPN
cana-5163	327	21	,	,	PUNCT
cana-5163	327	22	fars	far	VERB
cana-5163	327	23	hotel	hotel	NOUN
cana-5163	327	24	and	and	CCONJ
cana-5163	327	25	resorts	resort	NOUN
cana-5163	327	26	,	,	PUNCT
cana-5163	327	27	dhaka	dhaka	PROPN
cana-5163	327	28	,	,	PUNCT
cana-5163	327	29	bangladesh	bangladesh	PROPN
cana-5163	327	30	.	.	PUNCT
cana-5163	328	1	2019	2019	NUM
cana-5163	328	2	ieee	ieee	PROPN
cana-5163	328	3	international	international	ADJ
cana-5163	328	4	conference	conference	NOUN
cana-5163	328	5	on	on	ADP
cana-5163	328	6	signal	signal	ADJ
cana-5163	328	7	processing	processing	NOUN
cana-5163	328	8	,	,	PUNCT
cana-5163	328	9	information	information	NOUN
cana-5163	328	10	,	,	PUNCT
cana-5163	328	11	communication	communication	NOUN
cana-5163	328	12	&	&	CCONJ
cana-5163	328	13	systems	system	NOUN
cana-5163	328	14	(	(	PUNCT
cana-5163	328	15	spicscon	spicscon	NOUN
cana-5163	328	16	)	)	PUNCT
cana-5163	328	17	,	,	PUNCT
cana-5163	328	18	13–17	13–17	NUM
cana-5163	328	19	.	.	PUNCT
cana-5163	329	1	[	[	X
cana-5163	329	2	3	3	X
cana-5163	329	3	]	]	PUNCT
cana-5163	329	4	alhamed	alhame	VERB
cana-5163	329	5	,	,	PUNCT
cana-5163	329	6	f.	f.	PROPN
cana-5163	329	7	,	,	PUNCT
cana-5163	329	8	i	i	PRON
cana-5163	329	9	ve	ve	VERB
cana-5163	329	10	,	,	PUNCT
cana-5163	329	11	j.	j.	PROPN
cana-5163	329	12	,	,	PUNCT
cana-5163	329	13	&	&	CCONJ
cana-5163	329	14	specia	specia	PROPN
cana-5163	329	15	,	,	PUNCT
cana-5163	329	16	l.	l.	PROPN
cana-5163	329	17	(	(	PUNCT
cana-5163	329	18	2024	2024	NUM
cana-5163	329	19	)	)	PUNCT
cana-5163	329	20	.	.	PUNCT
cana-5163	330	1	classifying	classify	VERB
cana-5163	330	2	social	social	ADJ
cana-5163	330	3	media	medium	NOUN
cana-5163	330	4	users	user	NOUN
cana-5163	330	5	before	before	ADP
cana-5163	330	6	and	and	CCONJ
cana-5163	330	7	after	after	ADP
cana-5163	330	8	depression	depression	NOUN
cana-5163	330	9	diagnosis	diagnosis	NOUN
cana-5163	330	10	via	via	ADP
cana-5163	330	11	their	their	PRON
cana-5163	330	12	language	language	NOUN
cana-5163	330	13	usage	usage	NOUN
cana-5163	330	14	:	:	PUNCT
cana-5163	330	15	a	a	DET
cana-5163	330	16	dataset	dataset	NOUN
cana-5163	330	17	and	and	CCONJ
cana-5163	330	18	study	study	NOUN
cana-5163	330	19	.	.	PUNCT
cana-5163	331	1	3250–3260	3250–3260	NUM
cana-5163	331	2	.	.	PUNCT
cana-5163	331	3	retrieved	retrieve	VERB
cana-5163	331	4	from	from	ADP
cana-5163	331	5	https://aclanthology.org/2024.lrec-main.289	https://aclanthology.org/2024.lrec-main.289	PROPN
cana-5163	332	1	[	[	X
cana-5163	332	2	4	4	X
cana-5163	332	3	]	]	PUNCT
cana-5163	332	4	alhamed	alhame	VERB
cana-5163	332	5	,	,	PUNCT
cana-5163	332	6	f.	f.	PROPN
cana-5163	332	7	,	,	PUNCT
cana-5163	332	8	i	i	PRON
cana-5163	332	9	ve	ve	VERB
cana-5163	332	10	,	,	PUNCT
cana-5163	332	11	j.	j.	PROPN
cana-5163	332	12	,	,	PUNCT
cana-5163	332	13	&	&	CCONJ
cana-5163	332	14	specia	specia	PROPN
cana-5163	332	15	,	,	PUNCT
cana-5163	332	16	l.	l.	PROPN
cana-5163	332	17	(	(	PUNCT
cana-5163	332	18	2024	2024	NUM
cana-5163	332	19	)	)	PUNCT
cana-5163	332	20	.	.	PUNCT
cana-5163	333	1	using	use	VERB
cana-5163	333	2	large	large	ADJ
cana-5163	333	3	language	language	NOUN
cana-5163	333	4	models	model	NOUN
cana-5163	333	5	(	(	PUNCT
cana-5163	333	6	llms	llm	NOUN
cana-5163	333	7	)	)	PUNCT
cana-5163	333	8	to	to	PART
cana-5163	333	9	extract	extract	VERB
cana-5163	333	10	evidence	evidence	NOUN
cana-5163	333	11	from	from	ADP
cana-5163	333	12	pre	pre	ADJ
cana-5163	333	13	-	-	ADJ
cana-5163	333	14	annotated	annotated	ADJ
cana-5163	333	15	social	social	ADJ
cana-5163	333	16	media	medium	NOUN
cana-5163	333	17	data	datum	NOUN
cana-5163	333	18	.	.	PUNCT
cana-5163	334	1	clpsych	clpsych	PROPN
cana-5163	334	2	2024	2024	NUM
cana-5163	334	3	9th	9th	ADJ
cana-5163	334	4	workshop	workshop	NOUN
cana-5163	334	5	on	on	ADP
cana-5163	334	6	computational	computational	ADJ
cana-5163	334	7	linguistics	linguistic	NOUN
cana-5163	334	8	and	and	CCONJ
cana-5163	334	9	clinical	clinical	ADJ
cana-5163	334	10	psychology	psychology	NOUN
cana-5163	334	11	,	,	PUNCT
cana-5163	334	12	proceedings	proceeding	NOUN
cana-5163	334	13	of	of	ADP
cana-5163	334	14	the	the	DET
cana-5163	334	15	workshop	workshop	NOUN
cana-5163	334	16	,	,	PUNCT
cana-5163	334	17	(	(	PUNCT
cana-5163	334	18	clpsych	clpsych	PROPN
cana-5163	334	19	)	)	PUNCT
cana-5163	334	20	,	,	PUNCT
cana-5163	334	21	232–237	232–237	NUM
cana-5163	334	22	.	.	PUNCT
cana-5163	335	1	[	[	X
cana-5163	335	2	5	5	NUM
cana-5163	335	3	]	]	PUNCT
cana-5163	335	4	almouzini	almouzini	PROPN
cana-5163	335	5	,	,	PUNCT
cana-5163	335	6	s.	s.	PROPN
cana-5163	335	7	,	,	PUNCT
cana-5163	335	8	khemakhem	khemakhem	PROPN
cana-5163	335	9	,	,	PUNCT
cana-5163	335	10	m.	m.	NOUN
cana-5163	335	11	,	,	PUNCT
cana-5163	335	12	&	&	CCONJ
cana-5163	335	13	alageel	alageel	PROPN
cana-5163	335	14	,	,	PUNCT
cana-5163	335	15	a.	a.	NOUN
cana-5163	335	16	(	(	PUNCT
cana-5163	335	17	2019	2019	NUM
cana-5163	335	18	)	)	PUNCT
cana-5163	335	19	.	.	PUNCT
cana-5163	336	1	detecting	detect	VERB
cana-5163	336	2	arabic	arabic	ADJ
cana-5163	336	3	depressed	depressed	ADJ
cana-5163	336	4	users	user	NOUN
cana-5163	336	5	from	from	ADP
cana-5163	336	6	twitter	twitter	PROPN
cana-5163	336	7	data	data	PROPN
cana-5163	336	8	.	.	PUNCT
cana-5163	337	1	procedia	procedia	PROPN
cana-5163	337	2	computer	computer	NOUN
cana-5163	337	3	science	science	NOUN
cana-5163	337	4	,	,	PUNCT
cana-5163	337	5	163	163	NUM
cana-5163	337	6	,	,	PUNCT
cana-5163	337	7	257–265	257–265	NUM
cana-5163	337	8	.	.	PUNCT
cana-5163	338	1	https://doi.org/10.1016/j.procs.2019.12.107	https://doi.org/10.1016/j.procs.2019.12.107	NOUN
cana-5163	338	2	[	[	X
cana-5163	338	3	6	6	NUM
cana-5163	338	4	]	]	SYM
cana-5163	338	5	amanat	amanat	NOUN
cana-5163	338	6	,	,	PUNCT
cana-5163	338	7	a.	a.	NOUN
cana-5163	338	8	,	,	PUNCT
cana-5163	338	9	rizwan	rizwan	PROPN
cana-5163	338	10	,	,	PUNCT
cana-5163	338	11	m.	m.	NOUN
cana-5163	338	12	,	,	PUNCT
cana-5163	338	13	javed	javed	PROPN
cana-5163	338	14	,	,	PUNCT
cana-5163	338	15	a.	a.	PROPN
cana-5163	338	16	r.	r.	PROPN
cana-5163	338	17	,	,	PUNCT
cana-5163	338	18	abdelhaq	abdelhaq	PROPN
cana-5163	338	19	,	,	PUNCT
cana-5163	338	20	m.	m.	NOUN
cana-5163	338	21	,	,	PUNCT
cana-5163	338	22	alsaqour	alsaqour	PROPN
cana-5163	338	23	,	,	PUNCT
cana-5163	338	24	r.	r.	PROPN
cana-5163	338	25	,	,	PUNCT
cana-5163	338	26	pandya	pandya	PROPN
cana-5163	338	27	,	,	PUNCT
cana-5163	338	28	s.	s.	PROPN
cana-5163	338	29	,	,	PUNCT
cana-5163	338	30	&	&	CCONJ
cana-5163	338	31	uddin	uddin	PROPN
cana-5163	338	32	,	,	PUNCT
cana-5163	338	33	m.	m.	NOUN
cana-5163	338	34	(	(	PUNCT
cana-5163	338	35	2022	2022	NUM
cana-5163	338	36	)	)	PUNCT
cana-5163	338	37	.	.	PUNCT
cana-5163	339	1	deep	deep	ADJ
cana-5163	339	2	learning	learning	NOUN
cana-5163	339	3	for	for	ADP
cana-5163	339	4	depression	depression	NOUN
cana-5163	339	5	detection	detection	NOUN
cana-5163	339	6	from	from	ADP
cana-5163	339	7	textual	textual	ADJ
cana-5163	339	8	data	datum	NOUN
cana-5163	339	9	.	.	PUNCT
cana-5163	340	1	electronics	electronic	NOUN
cana-5163	340	2	(	(	PUNCT
cana-5163	340	3	switzerland	switzerland	PROPN
cana-5163	340	4	)	)	PUNCT
cana-5163	340	5	,	,	PUNCT
cana-5163	340	6	communications	communication	NOUN
cana-5163	340	7	on	on	ADP
cana-5163	340	8	applied	apply	VERB
cana-5163	340	9	nonlinear	nonlinear	ADJ
cana-5163	340	10	analysis	analysis	NOUN
cana-5163	340	11	issn	issn	NOUN
cana-5163	340	12	:	:	PUNCT
cana-5163	340	13	1074	1074	NUM
cana-5163	340	14	-	-	PUNCT
cana-5163	340	15	133x	133x	NUM
cana-5163	340	16	vol	vol	NOUN
cana-5163	340	17	32	32	NUM
cana-5163	340	18	no	no	NOUN
cana-5163	340	19	.	.	PUNCT
cana-5163	341	1	icmasd	icmasd	NOUN
cana-5163	341	2	(	(	PUNCT
cana-5163	341	3	2025	2025	NUM
cana-5163	341	4	)	)	PUNCT
cana-5163	341	5	1406	1406	NUM
cana-5163	341	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	341	7	11(5	11(5	NUM
cana-5163	341	8	)	)	PUNCT
cana-5163	341	9	,	,	PUNCT
cana-5163	341	10	1–13	1–13	NOUN
cana-5163	341	11	.	.	PUNCT
cana-5163	342	1	https://doi.org/10.3390/electronics11050676	https://doi.org/10.3390/electronics11050676	PROPN
cana-5163	343	1	[	[	X
cana-5163	343	2	7	7	NUM
cana-5163	343	3	]	]	X
cana-5163	343	4	apriliani	apriliani	PROPN
cana-5163	343	5	,	,	PUNCT
cana-5163	343	6	f.	f.	PROPN
cana-5163	343	7	,	,	PUNCT
cana-5163	343	8	&	&	CCONJ
cana-5163	343	9	maharani	maharani	PROPN
cana-5163	343	10	,	,	PUNCT
cana-5163	343	11	w.	w.	PROPN
cana-5163	343	12	(	(	PUNCT
cana-5163	343	13	2023	2023	NUM
cana-5163	343	14	)	)	PUNCT
cana-5163	343	15	.	.	PUNCT
cana-5163	344	1	depression	depression	NOUN
cana-5163	344	2	detection	detection	NOUN
cana-5163	344	3	on	on	ADP
cana-5163	344	4	social	social	ADJ
cana-5163	344	5	media	medium	NOUN
cana-5163	344	6	twitter	twitter	NOUN
cana-5163	344	7	using	use	VERB
cana-5163	344	8	xlnet	xlnet	PROPN
cana-5163	344	9	method	method	PROPN
cana-5163	344	10	.	.	PUNCT
cana-5163	345	1	jipi	jipi	NOUN
cana-5163	345	2	(	(	PUNCT
cana-5163	345	3	jurnal	jurnal	ADJ
cana-5163	345	4	ilmiah	ilmiah	PROPN
cana-5163	345	5	penelitian	penelitian	PROPN
cana-5163	345	6	dan	dan	PROPN
cana-5163	345	7	pembelajaran	pembelajaran	PROPN
cana-5163	345	8	informatika	informatika	PROPN
cana-5163	345	9	)	)	PUNCT
cana-5163	345	10	,	,	PUNCT
cana-5163	345	11	8(1	8(1	NOUN
cana-5163	345	12	)	)	PUNCT
cana-5163	345	13	,	,	PUNCT
cana-5163	345	14	172–180	172–180	NUM
cana-5163	345	15	.	.	PUNCT
cana-5163	346	1	https://doi.org/10.29100/jipi.v8i1.3345	https://doi.org/10.29100/jipi.v8i1.3345	PROPN
cana-5163	346	2	[	[	X
cana-5163	346	3	8	8	NUM
cana-5163	346	4	]	]	X
cana-5163	346	5	bokolo	bokolo	PROPN
cana-5163	346	6	,	,	PUNCT
cana-5163	346	7	b.	b.	PROPN
cana-5163	346	8	g.	g.	PROPN
cana-5163	346	9	,	,	PUNCT
cana-5163	346	10	&	&	CCONJ
cana-5163	346	11	liu	liu	PROPN
cana-5163	346	12	,	,	PUNCT
cana-5163	346	13	q.	q.	PROPN
cana-5163	346	14	(	(	PUNCT
cana-5163	346	15	2023	2023	NUM
cana-5163	346	16	)	)	PUNCT
cana-5163	346	17	.	.	PUNCT
cana-5163	347	1	deep	deep	ADJ
cana-5163	347	2	learning	learning	NOUN
cana-5163	347	3	-	-	PUNCT
cana-5163	347	4	based	base	VERB
cana-5163	347	5	depression	depression	NOUN
cana-5163	347	6	detection	detection	NOUN
cana-5163	347	7	from	from	ADP
cana-5163	347	8	social	social	ADJ
cana-5163	347	9	media	medium	NOUN
cana-5163	347	10	:	:	PUNCT
cana-5163	347	11	comparative	comparative	ADJ
cana-5163	347	12	evaluation	evaluation	NOUN
cana-5163	347	13	of	of	ADP
cana-5163	347	14	ml	ml	NOUN
cana-5163	347	15	and	and	CCONJ
cana-5163	347	16	transformer	transformer	ADJ
cana-5163	347	17	techniques	technique	NOUN
cana-5163	347	18	.	.	PUNCT
cana-5163	348	1	electronics	electronic	NOUN
cana-5163	348	2	(	(	PUNCT
cana-5163	348	3	switzerland	switzerland	PROPN
cana-5163	348	4	)	)	PUNCT
cana-5163	348	5	,	,	PUNCT
cana-5163	348	6	12(21	12(21	NUM
cana-5163	348	7	)	)	PUNCT
cana-5163	348	8	.	.	PUNCT
cana-5163	349	1	https://doi.org/10.3390/electronics12214396	https://doi.org/10.3390/electronics12214396	X
cana-5163	350	1	[	[	X
cana-5163	350	2	9	9	NUM
cana-5163	350	3	]	]	SYM
cana-5163	350	4	chiong	chiong	PROPN
cana-5163	350	5	,	,	PUNCT
cana-5163	350	6	r.	r.	PROPN
cana-5163	350	7	,	,	PUNCT
cana-5163	350	8	budhi	budhi	PROPN
cana-5163	350	9	,	,	PUNCT
cana-5163	350	10	g.	g.	PROPN
cana-5163	350	11	s.	s.	PROPN
cana-5163	350	12	,	,	PUNCT
cana-5163	350	13	dhakal	dhakal	PROPN
cana-5163	350	14	,	,	PUNCT
cana-5163	350	15	s.	s.	PROPN
cana-5163	350	16	,	,	PUNCT
cana-5163	350	17	&	&	CCONJ
cana-5163	350	18	chiong	chiong	PROPN
cana-5163	350	19	,	,	PUNCT
cana-5163	350	20	f.	f.	PROPN
cana-5163	350	21	(	(	PUNCT
cana-5163	350	22	2021	2021	NUM
cana-5163	350	23	)	)	PUNCT
cana-5163	350	24	.	.	PUNCT
cana-5163	351	1	a	a	DET
cana-5163	351	2	textual	textual	NOUN
cana-5163	351	3	-	-	PUNCT
cana-5163	351	4	based	base	VERB
cana-5163	351	5	featuring	feature	VERB
cana-5163	351	6	approach	approach	NOUN
cana-5163	351	7	for	for	ADP
cana-5163	351	8	depression	depression	NOUN
cana-5163	351	9	detection	detection	NOUN
cana-5163	351	10	using	use	VERB
cana-5163	351	11	machine	machine	NOUN
cana-5163	351	12	learning	learn	VERB
cana-5163	351	13	classifiers	classifier	NOUN
cana-5163	351	14	and	and	CCONJ
cana-5163	351	15	social	social	ADJ
cana-5163	351	16	media	medium	NOUN
cana-5163	351	17	texts	text	NOUN
cana-5163	351	18	.	.	PUNCT
cana-5163	352	1	computers	computer	NOUN
cana-5163	352	2	in	in	ADP
cana-5163	352	3	biology	biology	NOUN
cana-5163	352	4	and	and	CCONJ
cana-5163	352	5	medicine	medicine	NOUN
cana-5163	352	6	,	,	PUNCT
cana-5163	352	7	135	135	NUM
cana-5163	352	8	,	,	PUNCT
cana-5163	352	9	104499	104499	NUM
cana-5163	352	10	.	.	PUNCT
cana-5163	353	1	https://doi.org/10.1016/j.compbiomed.2021.104499	https://doi.org/10.1016/j.compbiomed.2021.104499	VERB
cana-5163	353	2	[	[	X
cana-5163	353	3	10	10	NUM
cana-5163	353	4	]	]	X
cana-5163	353	5	chutia	chutia	PROPN
cana-5163	353	6	,	,	PUNCT
cana-5163	353	7	t.	t.	PROPN
cana-5163	353	8	,	,	PUNCT
cana-5163	353	9	&	&	CCONJ
cana-5163	353	10	baruah	baruah	PROPN
cana-5163	353	11	,	,	PUNCT
cana-5163	353	12	n.	n.	NOUN
cana-5163	353	13	(	(	PUNCT
cana-5163	353	14	2024	2024	NUM
cana-5163	353	15	)	)	PUNCT
cana-5163	353	16	.	.	PUNCT
cana-5163	354	1	a	a	DET
cana-5163	354	2	review	review	NOUN
cana-5163	354	3	on	on	ADP
cana-5163	354	4	emotion	emotion	NOUN
cana-5163	354	5	detection	detection	NOUN
cana-5163	354	6	by	by	ADP
cana-5163	354	7	using	use	VERB
cana-5163	354	8	deep	deep	ADJ
cana-5163	354	9	learning	learning	NOUN
cana-5163	354	10	techniques	technique	NOUN
cana-5163	354	11	.	.	PUNCT
cana-5163	355	1	in	in	ADP
cana-5163	355	2	artificial	artificial	ADJ
cana-5163	355	3	intelligence	intelligence	NOUN
cana-5163	355	4	review	review	NOUN
cana-5163	355	5	(	(	PUNCT
cana-5163	355	6	vol	vol	NOUN
cana-5163	355	7	.	.	PROPN
cana-5163	355	8	57	57	NUM
cana-5163	355	9	)	)	PUNCT
cana-5163	355	10	.	.	PUNCT
cana-5163	356	1	springer	springer	PROPN
cana-5163	356	2	netherlands	netherlands	PROPN
cana-5163	356	3	.	.	PUNCT
cana-5163	357	1	https://doi.org/10.1007/s10462-024-10831-1	https://doi.org/10.1007/s10462-024-10831-1	PRON
cana-5163	358	1	[	[	X
cana-5163	358	2	11	11	NUM
cana-5163	358	3	]	]	X
cana-5163	358	4	coppersmith	coppersmith	PROPN
cana-5163	358	5	,	,	PUNCT
cana-5163	358	6	g.	g.	PROPN
cana-5163	358	7	,	,	PUNCT
cana-5163	358	8	leary	leary	PROPN
cana-5163	358	9	,	,	PUNCT
cana-5163	358	10	r.	r.	PROPN
cana-5163	358	11	,	,	PUNCT
cana-5163	358	12	crutchley	crutchley	PROPN
cana-5163	358	13	,	,	PUNCT
cana-5163	358	14	p.	p.	NOUN
cana-5163	358	15	,	,	PUNCT
cana-5163	358	16	&	&	CCONJ
cana-5163	358	17	fine	fine	ADJ
cana-5163	358	18	,	,	PUNCT
cana-5163	358	19	a.	a.	NOUN
cana-5163	358	20	(	(	PUNCT
cana-5163	358	21	2018	2018	NUM
cana-5163	358	22	)	)	PUNCT
cana-5163	358	23	.	.	PUNCT
cana-5163	359	1	natural	natural	ADJ
cana-5163	359	2	language	language	NOUN
cana-5163	359	3	processing	processing	NOUN
cana-5163	359	4	of	of	ADP
cana-5163	359	5	social	social	ADJ
cana-5163	359	6	media	medium	NOUN
cana-5163	359	7	as	as	ADP
cana-5163	359	8	screening	screen	VERB
cana-5163	359	9	for	for	ADP
cana-5163	359	10	suicide	suicide	NOUN
cana-5163	359	11	risk	risk	NOUN
cana-5163	359	12	.	.	PUNCT
cana-5163	360	1	biomedical	biomedical	ADJ
cana-5163	360	2	informatics	informatic	NOUN
cana-5163	360	3	insights	insight	NOUN
cana-5163	360	4	,	,	PUNCT
cana-5163	360	5	10	10	NUM
cana-5163	360	6	,	,	PUNCT
cana-5163	360	7	117822261879286	117822261879286	NUM
cana-5163	360	8	.	.	PUNCT
cana-5163	361	1	https://doi.org/10.1177/1178222618792860	https://doi.org/10.1177/1178222618792860	X
cana-5163	362	1	[	[	X
cana-5163	362	2	12	12	NUM
cana-5163	362	3	]	]	X
cana-5163	362	4	dalal	dalal	PROPN
cana-5163	362	5	,	,	PUNCT
cana-5163	362	6	s.	s.	PROPN
cana-5163	362	7	,	,	PUNCT
cana-5163	362	8	jain	jain	PROPN
cana-5163	362	9	,	,	PUNCT
cana-5163	362	10	s.	s.	PROPN
cana-5163	362	11	,	,	PUNCT
cana-5163	362	12	&	&	CCONJ
cana-5163	362	13	dave	dave	PROPN
cana-5163	362	14	,	,	PUNCT
cana-5163	362	15	m.	m.	NOUN
cana-5163	362	16	(	(	PUNCT
cana-5163	362	17	2024	2024	NUM
cana-5163	362	18	)	)	PUNCT
cana-5163	362	19	.	.	PUNCT
cana-5163	363	1	convolution	convolution	NOUN
cana-5163	363	2	neural	neural	ADJ
cana-5163	363	3	network	network	NOUN
cana-5163	363	4	having	have	VERB
cana-5163	363	5	multiple	multiple	ADJ
cana-5163	363	6	channels	channel	NOUN
cana-5163	363	7	with	with	ADP
cana-5163	363	8	own	own	ADJ
cana-5163	363	9	attention	attention	NOUN
cana-5163	363	10	layer	layer	NOUN
cana-5163	363	11	for	for	ADP
cana-5163	363	12	depression	depression	NOUN
cana-5163	363	13	detection	detection	NOUN
cana-5163	363	14	from	from	ADP
cana-5163	363	15	social	social	ADJ
cana-5163	363	16	data	datum	NOUN
cana-5163	363	17	.	.	PUNCT
cana-5163	364	1	new	new	ADJ
cana-5163	364	2	generation	generation	NOUN
cana-5163	364	3	computing	computing	NOUN
cana-5163	364	4	,	,	PUNCT
cana-5163	364	5	42(1	42(1	NOUN
cana-5163	364	6	)	)	PUNCT
cana-5163	364	7	,	,	PUNCT
cana-5163	364	8	135–155	135–155	NUM
cana-5163	364	9	.	.	PUNCT
cana-5163	365	1	https://doi.org/10.1007/s00354-023-00237-y	https://doi.org/10.1007/s00354-023-00237-y	NOUN
cana-5163	365	2	[	[	PUNCT
cana-5163	365	3	13	13	NUM
cana-5163	365	4	]	]	PUNCT
cana-5163	365	5	garcía	garcía	ADJ
cana-5163	365	6	-	-	PUNCT
cana-5163	365	7	noguez	noguez	NOUN
cana-5163	365	8	,	,	PUNCT
cana-5163	365	9	l.	l.	PROPN
cana-5163	365	10	r.	r.	PROPN
cana-5163	365	11	,	,	PUNCT
cana-5163	365	12	tovar	tovar	PROPN
cana-5163	365	13	-	-	PUNCT
cana-5163	365	14	arriaga	arriaga	PROPN
cana-5163	365	15	,	,	PUNCT
cana-5163	365	16	s.	s.	PROPN
cana-5163	365	17	,	,	PUNCT
cana-5163	365	18	paredes	paredes	PROPN
cana-5163	365	19	-	-	PUNCT
cana-5163	365	20	garcía	garcía	ADJ
cana-5163	365	21	,	,	PUNCT
cana-5163	365	22	w.	w.	PROPN
cana-5163	365	23	j.	j.	PROPN
cana-5163	365	24	,	,	PUNCT
cana-5163	365	25	ramos	ramos	PROPN
cana-5163	365	26	-	-	NOUN
cana-5163	365	27	arreguín	arreguín	PROPN
cana-5163	365	28	,	,	PUNCT
cana-5163	365	29	j.	j.	PROPN
cana-5163	365	30	m.	m.	PROPN
cana-5163	365	31	,	,	PUNCT
cana-5163	365	32	&	&	CCONJ
cana-5163	365	33	aceves	aceve	NOUN
cana-5163	365	34	-	-	PUNCT
cana-5163	365	35	fernandez	fernandez	PROPN
cana-5163	365	36	,	,	PUNCT
cana-5163	365	37	m.	m.	NOUN
cana-5163	365	38	a.	a.	NOUN
cana-5163	365	39	(	(	PUNCT
cana-5163	365	40	2023	2023	NUM
cana-5163	365	41	)	)	PUNCT
cana-5163	365	42	.	.	PUNCT
cana-5163	366	1	automatic	automatic	ADJ
cana-5163	366	2	classification	classification	NOUN
cana-5163	366	3	of	of	ADP
cana-5163	366	4	depressive	depressive	ADJ
cana-5163	366	5	users	user	NOUN
cana-5163	366	6	on	on	ADP
cana-5163	366	7	twitter	twitter	NOUN
cana-5163	366	8	including	include	VERB
cana-5163	366	9	temporal	temporal	ADJ
cana-5163	366	10	analysis	analysis	NOUN
cana-5163	366	11	.	.	PUNCT
cana-5163	367	1	network	network	NOUN
cana-5163	367	2	modeling	model	VERB
cana-5163	367	3	analysis	analysis	NOUN
cana-5163	367	4	in	in	ADP
cana-5163	367	5	health	health	NOUN
cana-5163	367	6	informatics	informatic	NOUN
cana-5163	367	7	and	and	CCONJ
cana-5163	367	8	bioinformatics	bioinformatics	NOUN
cana-5163	367	9	,	,	PUNCT
cana-5163	367	10	12(1	12(1	NUM
cana-5163	367	11	)	)	PUNCT
cana-5163	367	12	,	,	PUNCT
cana-5163	367	13	1–13	1–13	NOUN
cana-5163	367	14	.	.	PUNCT
cana-5163	368	1	https://doi.org/10.1007/s13721-023-00434-1	https://doi.org/10.1007/s13721-023-00434-1	NUM
cana-5163	368	2	[	[	X
cana-5163	368	3	14	14	NUM
cana-5163	368	4	]	]	X
cana-5163	368	5	ghosal	ghosal	PROPN
cana-5163	368	6	,	,	PUNCT
cana-5163	368	7	s.	s.	PROPN
cana-5163	368	8	,	,	PUNCT
cana-5163	368	9	&	&	CCONJ
cana-5163	368	10	jain	jain	PROPN
cana-5163	368	11	,	,	PUNCT
cana-5163	368	12	a.	a.	NOUN
cana-5163	368	13	(	(	PUNCT
cana-5163	368	14	2023	2023	NUM
cana-5163	368	15	)	)	PUNCT
cana-5163	368	16	.	.	PUNCT
cana-5163	369	1	depression	depression	NOUN
cana-5163	369	2	and	and	CCONJ
cana-5163	369	3	suicide	suicide	NOUN
cana-5163	369	4	risk	risk	NOUN
cana-5163	369	5	detection	detection	NOUN
cana-5163	369	6	on	on	ADP
cana-5163	369	7	social	social	ADJ
cana-5163	369	8	media	medium	NOUN
cana-5163	369	9	using	use	VERB
cana-5163	369	10	fasttext	fasttext	NOUN
cana-5163	369	11	embedding	embed	VERB
cana-5163	369	12	and	and	CCONJ
cana-5163	369	13	xgboost	xgboost	ADV
cana-5163	369	14	classifier	classifier	PROPN
cana-5163	369	15	.	.	PUNCT
cana-5163	370	1	procedia	procedia	PROPN
cana-5163	370	2	computer	computer	NOUN
cana-5163	370	3	science	science	NOUN
cana-5163	370	4	,	,	PUNCT
cana-5163	370	5	218	218	NUM
cana-5163	370	6	,	,	PUNCT
cana-5163	370	7	1631–1639	1631–1639	NUM
cana-5163	370	8	.	.	PUNCT
cana-5163	371	1	https://doi.org/10.1016/j.procs.2023.01.141	https://doi.org/10.1016/j.procs.2023.01.141	NOUN
cana-5163	371	2	[	[	PUNCT
cana-5163	371	3	15	15	NUM
cana-5163	371	4	]	]	X
cana-5163	371	5	govindasamy	govindasamy	NOUN
cana-5163	371	6	,	,	PUNCT
cana-5163	371	7	k.	k.	PROPN
cana-5163	371	8	a.	a.	PROPN
cana-5163	371	9	l.	l.	PROPN
cana-5163	371	10	,	,	PUNCT
cana-5163	371	11	&	&	CCONJ
cana-5163	371	12	palanichamy	palanichamy	PROPN
cana-5163	371	13	,	,	PUNCT
cana-5163	371	14	n.	n.	NOUN
cana-5163	371	15	(	(	PUNCT
cana-5163	371	16	2021	2021	NUM
cana-5163	371	17	)	)	PUNCT
cana-5163	371	18	.	.	PUNCT
cana-5163	372	1	depression	depression	NOUN
cana-5163	372	2	detection	detection	NOUN
cana-5163	372	3	using	use	VERB
cana-5163	372	4	machine	machine	NOUN
cana-5163	372	5	learning	learn	VERB
cana-5163	372	6	techniques	technique	NOUN
cana-5163	372	7	on	on	ADP
cana-5163	372	8	twitter	twitter	NOUN
cana-5163	372	9	data	datum	NOUN
cana-5163	372	10	.	.	PUNCT
cana-5163	373	1	proceedings	proceeding	NOUN
cana-5163	373	2	5th	5th	VERB
cana-5163	373	3	international	international	ADJ
cana-5163	373	4	conference	conference	NOUN
cana-5163	373	5	on	on	ADP
cana-5163	373	6	intelligent	intelligent	ADJ
cana-5163	373	7	computing	computing	NOUN
cana-5163	373	8	and	and	CCONJ
cana-5163	373	9	control	control	NOUN
cana-5163	373	10	systems	system	NOUN
cana-5163	373	11	,	,	PUNCT
cana-5163	373	12	iciccs	iciccs	NOUN
cana-5163	373	13	2021	2021	NUM
cana-5163	373	14	,	,	PUNCT
cana-5163	373	15	(	(	PUNCT
cana-5163	373	16	iciccs	iciccs	NOUN
cana-5163	373	17	)	)	PUNCT
cana-5163	373	18	,	,	PUNCT
cana-5163	373	19	960–966	960–966	NUM
cana-5163	373	20	.	.	PUNCT
cana-5163	374	1	https://doi.org/10.1109/iciccs51141.2021.9432203	https://doi.org/10.1109/iciccs51141.2021.9432203	NUM
cana-5163	375	1	[	[	X
cana-5163	375	2	16	16	NUM
cana-5163	375	3	]	]	X
cana-5163	375	4	gül	gül	PROPN
cana-5163	375	5	,	,	PUNCT
cana-5163	375	6	i̇.	i̇.	PROPN
cana-5163	375	7	,	,	PUNCT
cana-5163	375	8	lebret	lebret	PROPN
cana-5163	375	9	,	,	PUNCT
cana-5163	375	10	r.	r.	PROPN
cana-5163	375	11	,	,	PUNCT
cana-5163	375	12	&	&	CCONJ
cana-5163	375	13	aberer	aberer	PROPN
cana-5163	375	14	,	,	PUNCT
cana-5163	375	15	k.	k.	PROPN
cana-5163	375	16	(	(	PUNCT
cana-5163	375	17	2024	2024	NUM
cana-5163	375	18	)	)	PUNCT
cana-5163	375	19	.	.	PUNCT
cana-5163	376	1	stance	stance	NOUN
cana-5163	376	2	detection	detection	NOUN
cana-5163	376	3	on	on	ADP
cana-5163	376	4	social	social	ADJ
cana-5163	376	5	media	medium	NOUN
cana-5163	376	6	with	with	ADP
cana-5163	376	7	fine	fine	ADV
cana-5163	376	8	-	-	PUNCT
cana-5163	376	9	tuned	tune	VERB
cana-5163	376	10	large	large	ADJ
cana-5163	376	11	language	language	NOUN
cana-5163	376	12	models	model	NOUN
cana-5163	376	13	.	.	PUNCT
cana-5163	377	1	1–16	1–16	NOUN
cana-5163	377	2	.	.	PUNCT
cana-5163	378	1	retrieved	retrieve	VERB
cana-5163	378	2	from	from	ADP
cana-5163	378	3	http://arxiv.org/abs/2404.12171	http://arxiv.org/abs/2404.12171	NOUN
cana-5163	378	4	[	[	X
cana-5163	378	5	17	17	NUM
cana-5163	378	6	]	]	X
cana-5163	378	7	gupta	gupta	PROPN
cana-5163	378	8	,	,	PUNCT
cana-5163	378	9	s.	s.	PROPN
cana-5163	378	10	,	,	PUNCT
cana-5163	378	11	goel	goel	PROPN
cana-5163	378	12	,	,	PUNCT
cana-5163	378	13	l.	l.	PROPN
cana-5163	378	14	,	,	PUNCT
cana-5163	378	15	singh	singh	PROPN
cana-5163	378	16	,	,	PUNCT
cana-5163	378	17	a.	a.	NOUN
cana-5163	378	18	,	,	PUNCT
cana-5163	378	19	prasad	prasad	PROPN
cana-5163	378	20	,	,	PUNCT
cana-5163	378	21	a.	a.	PROPN
cana-5163	378	22	,	,	PUNCT
cana-5163	378	23	&	&	CCONJ
cana-5163	378	24	ullah	ullah	PROPN
cana-5163	378	25	,	,	PUNCT
cana-5163	378	26	and	and	CCONJ
cana-5163	378	27	m.	m.	NOUN
cana-5163	378	28	a.	a.	NOUN
cana-5163	378	29	(	(	PUNCT
cana-5163	378	30	2022	2022	NUM
cana-5163	378	31	)	)	PUNCT
cana-5163	378	32	.	.	PUNCT
cana-5163	379	1	psychological	psychological	ADJ
cana-5163	379	2	analysis	analysis	NOUN
cana-5163	379	3	for	for	ADP
cana-5163	379	4	depression	depression	NOUN
cana-5163	379	5	detection	detection	NOUN
cana-5163	379	6	from	from	ADP
cana-5163	379	7	social	social	ADJ
cana-5163	379	8	networking	networking	NOUN
cana-5163	379	9	sites	site	NOUN
cana-5163	379	10	.	.	PUNCT
cana-5163	380	1	computational	computational	ADJ
cana-5163	380	2	intelligence	intelligence	NOUN
cana-5163	380	3	and	and	CCONJ
cana-5163	380	4	neuroscience	neuroscience	NOUN
cana-5163	380	5	,	,	PUNCT
cana-5163	380	6	2022(2022	2022(2022	NUM
cana-5163	380	7	)	)	PUNCT
cana-5163	380	8	,	,	PUNCT
cana-5163	380	9	28–31	28–31	NUM
cana-5163	380	10	.	.	PUNCT
cana-5163	381	1	[	[	X
cana-5163	381	2	18	18	NUM
cana-5163	381	3	]	]	X
cana-5163	381	4	hassan	hassan	PROPN
cana-5163	381	5	,	,	PUNCT
cana-5163	381	6	a.	a.	PROPN
cana-5163	381	7	u.	u.	PROPN
cana-5163	381	8	,	,	PUNCT
cana-5163	381	9	hussain	hussain	PROPN
cana-5163	381	10	,	,	PUNCT
cana-5163	381	11	j.	j.	PROPN
cana-5163	381	12	,	,	PUNCT
cana-5163	381	13	hussain	hussain	PROPN
cana-5163	381	14	,	,	PUNCT
cana-5163	381	15	m.	m.	NOUN
cana-5163	381	16	,	,	PUNCT
cana-5163	381	17	sadiq	sadiq	PROPN
cana-5163	381	18	,	,	PUNCT
cana-5163	381	19	m.	m.	NOUN
cana-5163	381	20	,	,	PUNCT
cana-5163	381	21	&	&	CCONJ
cana-5163	381	22	lee	lee	PROPN
cana-5163	381	23	,	,	PUNCT
cana-5163	381	24	s.	s.	PROPN
cana-5163	381	25	(	(	PUNCT
cana-5163	381	26	2017	2017	NUM
cana-5163	381	27	)	)	PUNCT
cana-5163	381	28	.	.	PUNCT
cana-5163	382	1	sentiment	sentiment	NOUN
cana-5163	382	2	analysis	analysis	NOUN
cana-5163	382	3	of	of	ADP
cana-5163	382	4	social	social	ADJ
cana-5163	382	5	networking	network	VERB
cana-5163	382	6	sites	site	NOUN
cana-5163	382	7	(	(	PUNCT
cana-5163	382	8	sns	sns	PROPN
cana-5163	382	9	)	)	PUNCT
cana-5163	382	10	data	datum	NOUN
cana-5163	382	11	using	use	VERB
cana-5163	382	12	machine	machine	NOUN
cana-5163	382	13	learning	learn	VERB
cana-5163	382	14	approach	approach	NOUN
cana-5163	382	15	for	for	ADP
cana-5163	382	16	the	the	DET
cana-5163	382	17	measurement	measurement	NOUN
cana-5163	382	18	of	of	ADP
cana-5163	382	19	depression	depression	NOUN
cana-5163	382	20	.	.	PUNCT
cana-5163	383	1	international	international	ADJ
cana-5163	383	2	conference	conference	NOUN
cana-5163	383	3	on	on	ADP
cana-5163	383	4	information	information	NOUN
cana-5163	383	5	and	and	CCONJ
cana-5163	383	6	communication	communication	NOUN
cana-5163	383	7	technology	technology	NOUN
cana-5163	383	8	convergence	convergence	NOUN
cana-5163	383	9	:	:	PUNCT
cana-5163	383	10	ict	ict	NOUN
cana-5163	383	11	convergence	convergence	NOUN
cana-5163	383	12	technologies	technology	NOUN
cana-5163	383	13	leading	lead	VERB
cana-5163	383	14	the	the	DET
cana-5163	383	15	fourth	fourth	ADJ
cana-5163	383	16	industrial	industrial	ADJ
cana-5163	383	17	revolution	revolution	NOUN
cana-5163	383	18	,	,	PUNCT
cana-5163	383	19	ictc	ictc	NOUN
cana-5163	383	20	2017	2017	NUM
cana-5163	383	21	,	,	PUNCT
cana-5163	383	22	2017	2017	NUM
cana-5163	383	23	-	-	PUNCT
cana-5163	383	24	decem	decem	NOUN
cana-5163	383	25	,	,	PUNCT
cana-5163	383	26	138–140	138–140	NUM
cana-5163	383	27	.	.	PUNCT
cana-5163	384	1	https://doi.org/10.1109/ictc.2017.8190959	https://doi.org/10.1109/ictc.2017.8190959	NOUN
cana-5163	384	2	[	[	X
cana-5163	384	3	19	19	NUM
cana-5163	384	4	]	]	X
cana-5163	384	5	islam	islam	PROPN
cana-5163	384	6	,	,	PUNCT
cana-5163	384	7	m.	m.	PROPN
cana-5163	384	8	r.	r.	PROPN
cana-5163	384	9	,	,	PUNCT
cana-5163	384	10	kabir	kabir	PROPN
cana-5163	384	11	,	,	PUNCT
cana-5163	384	12	m.	m.	NOUN
cana-5163	384	13	a.	a.	PROPN
cana-5163	384	14	,	,	PUNCT
cana-5163	384	15	ahmed	ahmed	PROPN
cana-5163	384	16	,	,	PUNCT
cana-5163	384	17	a.	a.	PROPN
cana-5163	384	18	,	,	PUNCT
cana-5163	384	19	kamal	kamal	PROPN
cana-5163	384	20	,	,	PUNCT
cana-5163	384	21	a.	a.	PROPN
cana-5163	384	22	r.	r.	PROPN
cana-5163	384	23	m.	m.	PROPN
cana-5163	384	24	,	,	PUNCT
cana-5163	384	25	wang	wang	PROPN
cana-5163	384	26	,	,	PUNCT
cana-5163	384	27	h.	h.	PROPN
cana-5163	384	28	,	,	PUNCT
cana-5163	384	29	&	&	CCONJ
cana-5163	384	30	ulhaq	ulhaq	PROPN
cana-5163	384	31	,	,	PUNCT
cana-5163	384	32	a.	a.	NOUN
cana-5163	384	33	(	(	PUNCT
cana-5163	384	34	2018	2018	NUM
cana-5163	384	35	)	)	PUNCT
cana-5163	384	36	.	.	PUNCT
cana-5163	385	1	depression	depression	NOUN
cana-5163	385	2	detection	detection	NOUN
cana-5163	385	3	from	from	ADP
cana-5163	385	4	social	social	ADJ
cana-5163	385	5	network	network	NOUN
cana-5163	385	6	data	datum	NOUN
cana-5163	385	7	using	use	VERB
cana-5163	385	8	machine	machine	NOUN
cana-5163	385	9	learning	learn	VERB
cana-5163	385	10	techniques	technique	NOUN
cana-5163	385	11	.	.	PUNCT
cana-5163	386	1	health	health	NOUN
cana-5163	386	2	information	information	NOUN
cana-5163	386	3	science	science	NOUN
cana-5163	386	4	and	and	CCONJ
cana-5163	386	5	systems	system	NOUN
cana-5163	386	6	,	,	PUNCT
cana-5163	386	7	6(1	6(1	NUM
cana-5163	386	8	)	)	PUNCT
cana-5163	386	9	,	,	PUNCT
cana-5163	386	10	1–12	1–12	NOUN
cana-5163	386	11	.	.	PUNCT
cana-5163	387	1	https://doi.org/10.1007/s13755-018-0046-0	https://doi.org/10.1007/s13755-018-0046-0	PROPN
cana-5163	388	1	[	[	X
cana-5163	388	2	20	20	NUM
cana-5163	388	3	]	]	X
cana-5163	388	4	k	k	PROPN
cana-5163	388	5	s	s	PROPN
cana-5163	388	6	,	,	PUNCT
cana-5163	388	7	a.	a.	NOUN
cana-5163	388	8	,	,	PUNCT
cana-5163	388	9	p	p	PROPN
cana-5163	388	10	c	c	PROPN
cana-5163	388	11	,	,	PUNCT
cana-5163	388	12	r.	r.	PROPN
cana-5163	388	13	,	,	PUNCT
cana-5163	388	14	&	&	CCONJ
cana-5163	388	15	murali	murali	PROPN
cana-5163	388	16	,	,	PUNCT
cana-5163	388	17	r.	r.	PROPN
cana-5163	388	18	(	(	PUNCT
cana-5163	388	19	2019	2019	NUM
cana-5163	388	20	)	)	PUNCT
cana-5163	388	21	.	.	PUNCT
cana-5163	389	1	deep	deep	ADJ
cana-5163	389	2	learning	learn	VERB
cana-5163	389	3	approach	approach	NOUN
cana-5163	389	4	for	for	ADP
cana-5163	389	5	detection	detection	NOUN
cana-5163	389	6	of	of	ADP
cana-5163	389	7	depression	depression	NOUN
cana-5163	389	8	in	in	ADP
cana-5163	389	9	twitter	twitter	NOUN
cana-5163	389	10	.	.	PUNCT
cana-5163	390	1	icsee2019	icsee2019	PROPN
cana-5163	390	2	,	,	PUNCT
cana-5163	390	3	(	(	PUNCT
cana-5163	390	4	july	july	PROPN
cana-5163	390	5	2019	2019	NUM
cana-5163	390	6	)	)	PUNCT
cana-5163	390	7	.	.	PUNCT
cana-5163	391	1	[	[	X
cana-5163	391	2	21	21	NUM
cana-5163	391	3	]	]	X
cana-5163	391	4	kanahuati	kanahuati	PROPN
cana-5163	391	5	-	-	PUNCT
cana-5163	391	6	ceballos	ceballos	PROPN
cana-5163	391	7	,	,	PUNCT
cana-5163	391	8	m.	m.	NOUN
cana-5163	391	9	,	,	PUNCT
cana-5163	391	10	&	&	CCONJ
cana-5163	391	11	valdivia	valdivia	PROPN
cana-5163	391	12	,	,	PUNCT
cana-5163	391	13	l.	l.	PROPN
cana-5163	391	14	j.	j.	PROPN
cana-5163	391	15	(	(	PUNCT
cana-5163	391	16	2024	2024	NUM
cana-5163	391	17	)	)	PUNCT
cana-5163	391	18	.	.	PUNCT
cana-5163	392	1	detection	detection	NOUN
cana-5163	392	2	of	of	ADP
cana-5163	392	3	depressive	depressive	ADJ
cana-5163	392	4	comments	comment	NOUN
cana-5163	392	5	on	on	ADP
cana-5163	392	6	social	social	ADJ
cana-5163	392	7	media	medium	NOUN
cana-5163	392	8	using	use	VERB
cana-5163	392	9	rnn	rnn	PROPN
cana-5163	392	10	,	,	PUNCT
cana-5163	392	11	lstm	lstm	ADJ
cana-5163	392	12	,	,	PUNCT
cana-5163	392	13	and	and	CCONJ
cana-5163	392	14	random	random	ADJ
cana-5163	392	15	forest	forest	NOUN
cana-5163	392	16	:	:	PUNCT
cana-5163	392	17	comparison	comparison	NOUN
cana-5163	392	18	and	and	CCONJ
cana-5163	392	19	optimization	optimization	NOUN
cana-5163	392	20	.	.	PUNCT
cana-5163	393	1	social	social	ADJ
cana-5163	393	2	network	network	NOUN
cana-5163	393	3	analysis	analysis	NOUN
cana-5163	393	4	and	and	CCONJ
cana-5163	393	5	mining	mining	NOUN
cana-5163	393	6	,	,	PUNCT
cana-5163	393	7	14(1	14(1	NUM
cana-5163	393	8	)	)	PUNCT
cana-5163	393	9	.	.	PUNCT
cana-5163	394	1	https://doi.org/10.1007/s13278-024-01206-z	https://doi.org/10.1007/s13278-024-01206-z	VERB
cana-5163	394	2	communications	communication	NOUN
cana-5163	394	3	on	on	ADP
cana-5163	394	4	applied	apply	VERB
cana-5163	394	5	nonlinear	nonlinear	ADJ
cana-5163	394	6	analysis	analysis	NOUN
cana-5163	394	7	issn	issn	NOUN
cana-5163	394	8	:	:	PUNCT
cana-5163	394	9	1074	1074	NUM
cana-5163	394	10	-	-	PUNCT
cana-5163	394	11	133x	133x	NUM
cana-5163	394	12	vol	vol	NOUN
cana-5163	394	13	32	32	NUM
cana-5163	394	14	no	no	NOUN
cana-5163	394	15	.	.	PUNCT
cana-5163	395	1	icmasd	icmasd	NOUN
cana-5163	395	2	(	(	PUNCT
cana-5163	395	3	2025	2025	NUM
cana-5163	395	4	)	)	PUNCT
cana-5163	395	5	1407	1407	NUM
cana-5163	395	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	396	1	[	[	X
cana-5163	396	2	22	22	NUM
cana-5163	396	3	]	]	X
cana-5163	396	4	khan	khan	PROPN
cana-5163	396	5	,	,	PUNCT
cana-5163	396	6	s.	s.	PROPN
cana-5163	396	7	,	,	PUNCT
cana-5163	396	8	&	&	CCONJ
cana-5163	396	9	alqahtani	alqahtani	PROPN
cana-5163	396	10	,	,	PUNCT
cana-5163	396	11	s.	s.	PROPN
cana-5163	396	12	(	(	PUNCT
cana-5163	396	13	2024	2024	NUM
cana-5163	396	14	)	)	PUNCT
cana-5163	396	15	.	.	PUNCT
cana-5163	397	1	hybrid	hybrid	ADJ
cana-5163	397	2	machine	machine	NOUN
cana-5163	397	3	learning	learning	NOUN
cana-5163	397	4	models	model	NOUN
cana-5163	397	5	to	to	PART
cana-5163	397	6	detect	detect	VERB
cana-5163	397	7	signs	sign	NOUN
cana-5163	397	8	of	of	ADP
cana-5163	397	9	depression	depression	NOUN
cana-5163	397	10	.	.	PUNCT
cana-5163	398	1	multimedia	multimedia	NOUN
cana-5163	398	2	tools	tool	NOUN
cana-5163	398	3	and	and	CCONJ
cana-5163	398	4	applications	application	NOUN
cana-5163	398	5	,	,	PUNCT
cana-5163	398	6	83(13	83(13	NUM
cana-5163	398	7	)	)	PUNCT
cana-5163	398	8	,	,	PUNCT
cana-5163	398	9	38819–38837	38819–38837	NUM
cana-5163	398	10	.	.	PUNCT
cana-5163	399	1	https://doi.org/10.1007/s11042-02316221-z	https://doi.org/10.1007/s11042-02316221-z	NOUN
cana-5163	400	1	[	[	X
cana-5163	400	2	23	23	NUM
cana-5163	400	3	]	]	X
cana-5163	400	4	kumar	kumar	PROPN
cana-5163	400	5	,	,	PUNCT
cana-5163	400	6	a.	a.	PROPN
cana-5163	400	7	,	,	PUNCT
cana-5163	400	8	kumari	kumari	PROPN
cana-5163	400	9	,	,	PUNCT
cana-5163	400	10	j.	j.	PROPN
cana-5163	400	11	,	,	PUNCT
cana-5163	400	12	&	&	CCONJ
cana-5163	400	13	pradhan	pradhan	PROPN
cana-5163	400	14	,	,	PUNCT
cana-5163	400	15	j.	j.	PROPN
cana-5163	400	16	(	(	PUNCT
cana-5163	400	17	2023	2023	NUM
cana-5163	400	18	)	)	PUNCT
cana-5163	400	19	.	.	PUNCT
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cana-5163	401	2	deep	deep	ADJ
cana-5163	401	3	learning	learning	NOUN
cana-5163	401	4	for	for	ADP
cana-5163	401	5	mental	mental	ADJ
cana-5163	401	6	health	health	NOUN
cana-5163	401	7	detection	detection	NOUN
cana-5163	401	8	from	from	ADP
cana-5163	401	9	english	english	PROPN
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cana-5163	401	11	arabic	arabic	ADJ
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cana-5163	401	13	media	medium	NOUN
cana-5163	401	14	posts	post	NOUN
cana-5163	401	15	.	.	PUNCT
cana-5163	402	1	acm	acm	NOUN
cana-5163	402	2	transactions	transaction	NOUN
cana-5163	402	3	on	on	ADP
cana-5163	402	4	asian	asian	ADJ
cana-5163	402	5	and	and	CCONJ
cana-5163	402	6	lowresource	lowresource	PROPN
cana-5163	402	7	language	language	NOUN
cana-5163	402	8	information	information	NOUN
cana-5163	402	9	processing	processing	NOUN
cana-5163	402	10	.	.	PUNCT
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cana-5163	404	1	[	[	X
cana-5163	404	2	24	24	NUM
cana-5163	404	3	]	]	SYM
cana-5163	404	4	kumar	kumar	PROPN
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cana-5163	404	6	b.	b.	PROPN
cana-5163	404	7	p.	p.	PROPN
cana-5163	404	8	,	,	PUNCT
cana-5163	404	9	kala	kala	PROPN
cana-5163	404	10	,	,	PUNCT
cana-5163	404	11	c.	c.	PROPN
cana-5163	404	12	n.	n.	PROPN
cana-5163	404	13	,	,	PUNCT
cana-5163	404	14	durga	durga	NOUN
cana-5163	404	15	,	,	PUNCT
cana-5163	404	16	g.	g.	PROPN
cana-5163	404	17	l.	l.	PROPN
cana-5163	404	18	,	,	PUNCT
cana-5163	404	19	jaswanth	jaswanth	PROPN
cana-5163	404	20	,	,	PUNCT
cana-5163	404	21	p.	p.	NOUN
cana-5163	404	22	,	,	PUNCT
cana-5163	404	23	&	&	CCONJ
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cana-5163	404	25	,	,	PUNCT
cana-5163	404	26	s.	s.	PROPN
cana-5163	404	27	(	(	PUNCT
cana-5163	404	28	2024	2024	NUM
cana-5163	404	29	)	)	PUNCT
cana-5163	404	30	.	.	PUNCT
cana-5163	405	1	deep	deep	ADJ
cana-5163	405	2	learing	learing	NOUN
cana-5163	405	3	for	for	ADP
cana-5163	405	4	depression	depression	NOUN
cana-5163	405	5	detection	detection	NOUN
cana-5163	405	6	from	from	ADP
cana-5163	405	7	textual	textual	ADJ
cana-5163	405	8	data	datum	NOUN
cana-5163	405	9	unveiling	unveil	VERB
cana-5163	405	10	insights	insight	NOUN
cana-5163	405	11	through	through	ADP
cana-5163	405	12	natural	natural	ADJ
cana-5163	405	13	language	language	NOUN
cana-5163	405	14	processing	processing	NOUN
cana-5163	405	15	.	.	PUNCT
cana-5163	406	1	journal	journal	PROPN
cana-5163	406	2	of	of	ADP
cana-5163	406	3	nonlinear	nonlinear	ADJ
cana-5163	406	4	analysis	analysis	NOUN
cana-5163	406	5	and	and	CCONJ
cana-5163	406	6	optimization	optimization	NOUN
cana-5163	406	7	,	,	PUNCT
cana-5163	406	8	15(1	15(1	NUM
cana-5163	406	9	)	)	PUNCT
cana-5163	406	10	,	,	PUNCT
cana-5163	406	11	37–48	37–48	NUM
cana-5163	406	12	.	.	PUNCT
cana-5163	407	1	[	[	X
cana-5163	407	2	25	25	NUM
cana-5163	407	3	]	]	X
cana-5163	407	4	kumar	kumar	PROPN
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cana-5163	407	7	,	,	PUNCT
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cana-5163	407	10	p.	p.	PROPN
cana-5163	407	11	,	,	PUNCT
cana-5163	407	12	dutta	dutta	PROPN
cana-5163	407	13	,	,	PUNCT
cana-5163	407	14	s.	s.	PROPN
cana-5163	407	15	,	,	PUNCT
cana-5163	407	16	chatterjee	chatterjee	PROPN
cana-5163	407	17	,	,	PUNCT
cana-5163	407	18	m.	m.	NOUN
cana-5163	407	19	,	,	PUNCT
cana-5163	407	20	&	&	CCONJ
cana-5163	407	21	sarkar	sarkar	PROPN
cana-5163	407	22	,	,	PUNCT
cana-5163	407	23	d.	d.	PROPN
cana-5163	407	24	(	(	PUNCT
cana-5163	407	25	2022	2022	NUM
cana-5163	407	26	)	)	PUNCT
cana-5163	407	27	.	.	PUNCT
cana-5163	408	1	feature	feature	NOUN
cana-5163	408	2	based	base	VERB
cana-5163	408	3	depression	depression	NOUN
cana-5163	408	4	detection	detection	NOUN
cana-5163	408	5	from	from	ADP
cana-5163	408	6	twitter	twitter	NOUN
cana-5163	408	7	data	datum	NOUN
cana-5163	408	8	using	use	VERB
cana-5163	408	9	machine	machine	NOUN
cana-5163	408	10	learning	learn	VERB
cana-5163	408	11	techniques	technique	NOUN
cana-5163	408	12	.	.	PUNCT
cana-5163	409	1	journal	journal	NOUN
cana-5163	409	2	of	of	ADP
cana-5163	409	3	scientific	scientific	ADJ
cana-5163	409	4	research	research	NOUN
cana-5163	409	5	,	,	PUNCT
cana-5163	409	6	66(02	66(02	NOUN
cana-5163	409	7	)	)	PUNCT
cana-5163	409	8	,	,	PUNCT
cana-5163	409	9	220–228	220–228	NUM
cana-5163	409	10	.	.	PUNCT
cana-5163	410	1	https://doi.org/10.37398/jsr.2022.660229	https://doi.org/10.37398/jsr.2022.660229	PROPN
cana-5163	411	1	[	[	X
cana-5163	411	2	26	26	NUM
cana-5163	411	3	]	]	X
cana-5163	411	4	kumnunt	kumnunt	PROPN
cana-5163	411	5	,	,	PUNCT
cana-5163	411	6	b.	b.	PROPN
cana-5163	411	7	,	,	PUNCT
cana-5163	411	8	&	&	CCONJ
cana-5163	411	9	sornil	sornil	PROPN
cana-5163	411	10	,	,	PUNCT
cana-5163	411	11	o.	o.	PROPN
cana-5163	411	12	(	(	PUNCT
cana-5163	411	13	2020	2020	NUM
cana-5163	411	14	)	)	PUNCT
cana-5163	411	15	.	.	PUNCT
cana-5163	412	1	detection	detection	NOUN
cana-5163	412	2	of	of	ADP
cana-5163	412	3	depression	depression	NOUN
cana-5163	412	4	in	in	ADP
cana-5163	412	5	thai	thai	ADJ
cana-5163	412	6	social	social	ADJ
cana-5163	412	7	media	medium	NOUN
cana-5163	412	8	messages	message	NOUN
cana-5163	412	9	using	use	VERB
cana-5163	412	10	deep	deep	ADJ
cana-5163	412	11	learning	learning	NOUN
cana-5163	412	12	.	.	PUNCT
cana-5163	413	1	delta	delta	NOUN
cana-5163	413	2	2020	2020	NUM
cana-5163	413	3	proceedings	proceeding	NOUN
cana-5163	413	4	of	of	ADP
cana-5163	413	5	the	the	DET
cana-5163	413	6	1st	1st	ADJ
cana-5163	413	7	international	international	ADJ
cana-5163	413	8	conference	conference	NOUN
cana-5163	413	9	on	on	ADP
cana-5163	413	10	deep	deep	ADJ
cana-5163	413	11	learning	learning	NOUN
cana-5163	413	12	theory	theory	NOUN
cana-5163	413	13	and	and	CCONJ
cana-5163	413	14	applications	application	NOUN
cana-5163	413	15	,	,	PUNCT
cana-5163	413	16	111–118	111–118	NUM
cana-5163	413	17	.	.	PUNCT
cana-5163	414	1	scitepress	scitepress	NOUN
cana-5163	414	2	.	.	PUNCT
cana-5163	415	1	https://doi.org/10.5220/0009970501110118	https://doi.org/10.5220/0009970501110118	X
cana-5163	416	1	[	[	X
cana-5163	416	2	27	27	NUM
cana-5163	416	3	]	]	X
cana-5163	416	4	mcmanus	mcmanus	PROPN
cana-5163	416	5	,	,	PUNCT
cana-5163	416	6	k.	k.	PROPN
cana-5163	416	7	,	,	PUNCT
cana-5163	416	8	mallory	mallory	PROPN
cana-5163	416	9	,	,	PUNCT
cana-5163	416	10	e.	e.	PROPN
cana-5163	416	11	k.	k.	PROPN
cana-5163	416	12	,	,	PUNCT
cana-5163	416	13	goldfeder	goldfeder	PROPN
cana-5163	416	14	,	,	PUNCT
cana-5163	416	15	r.	r.	PROPN
cana-5163	416	16	l.	l.	PROPN
cana-5163	416	17	,	,	PUNCT
cana-5163	416	18	haynes	haynes	PROPN
cana-5163	416	19	,	,	PUNCT
cana-5163	416	20	w.	w.	PROPN
cana-5163	416	21	a.	a.	PROPN
cana-5163	416	22	,	,	PUNCT
cana-5163	416	23	&	&	CCONJ
cana-5163	416	24	tatum	tatum	PROPN
cana-5163	416	25	,	,	PUNCT
cana-5163	416	26	j.	j.	PROPN
cana-5163	416	27	d.	d.	PROPN
cana-5163	416	28	(	(	PUNCT
cana-5163	416	29	2015	2015	NUM
cana-5163	416	30	)	)	PUNCT
cana-5163	416	31	.	.	PUNCT
cana-5163	417	1	mining	mining	NOUN
cana-5163	417	2	twitter	twitter	NOUN
cana-5163	417	3	data	datum	NOUN
cana-5163	417	4	to	to	PART
cana-5163	417	5	improve	improve	VERB
cana-5163	417	6	detection	detection	NOUN
cana-5163	417	7	of	of	ADP
cana-5163	417	8	schizophrenia	schizophrenia	NOUN
cana-5163	417	9	.	.	PUNCT
cana-5163	418	1	amia	amia	NOUN
cana-5163	418	2	joint	joint	ADJ
cana-5163	418	3	summits	summit	NOUN
cana-5163	418	4	on	on	ADP
cana-5163	418	5	translational	translational	ADJ
cana-5163	418	6	science	science	NOUN
cana-5163	418	7	proceedings	proceeding	NOUN
cana-5163	418	8	.	.	PUNCT
cana-5163	419	1	amia	amia	NOUN
cana-5163	419	2	joint	joint	ADJ
cana-5163	419	3	summits	summit	NOUN
cana-5163	419	4	on	on	ADP
cana-5163	419	5	translational	translational	ADJ
cana-5163	419	6	science	science	NOUN
cana-5163	419	7	,	,	PUNCT
cana-5163	419	8	2015	2015	NUM
cana-5163	419	9	,	,	PUNCT
cana-5163	419	10	122–126	122–126	NUM
cana-5163	419	11	.	.	PUNCT
cana-5163	419	12	retrieved	retrieve	VERB
cana-5163	419	13	from	from	ADP
cana-5163	419	14	http://www.ncbi.nlm.nih.gov/pubmed/26306253%0ahttp://www.pubmedcentral.nih.gov/articler	http://www.ncbi.nlm.nih.gov/pubmed/26306253%0ahttp://www.pubmedcentral.nih.gov/articler	PROPN
cana-5163	419	15	ender.fcgi?artid=pmc4525233	ender.fcgi?artid=pmc4525233	PART
cana-5163	420	1	[	[	X
cana-5163	420	2	28	28	NUM
cana-5163	420	3	]	]	PUNCT
cana-5163	420	4	mendes	mende	NOUN
cana-5163	420	5	,	,	PUNCT
cana-5163	420	6	a.	a.	PROPN
cana-5163	420	7	r.	r.	PROPN
cana-5163	420	8	,	,	PUNCT
cana-5163	420	9	caseli	caseli	PROPN
cana-5163	420	10	,	,	PUNCT
cana-5163	420	11	h.	h.	PROPN
cana-5163	420	12	d.	d.	PROPN
cana-5163	420	13	m.	m.	PROPN
cana-5163	420	14	,	,	PUNCT
cana-5163	420	15	luis	luis	PROPN
cana-5163	420	16	,	,	PUNCT
cana-5163	420	17	r.	r.	PROPN
cana-5163	420	18	w.	w.	PROPN
cana-5163	420	19	,	,	PUNCT
cana-5163	420	20	&	&	CCONJ
cana-5163	420	21	sp	sp	PROPN
cana-5163	420	22	,	,	PUNCT
cana-5163	420	23	c.	c.	NOUN
cana-5163	420	24	(	(	PUNCT
cana-5163	420	25	2022	2022	NUM
cana-5163	420	26	)	)	PUNCT
cana-5163	420	27	.	.	PUNCT
cana-5163	421	1	identifying	identify	VERB
cana-5163	421	2	fine	fine	ADV
cana-5163	421	3	-	-	PUNCT
cana-5163	421	4	grained	grain	VERB
cana-5163	421	5	depression	depression	NOUN
cana-5163	421	6	signs	sign	NOUN
cana-5163	421	7	in	in	ADP
cana-5163	421	8	social	social	ADJ
cana-5163	421	9	media	medium	NOUN
cana-5163	421	10	posts	post	NOUN
cana-5163	421	11	.	.	PUNCT
cana-5163	422	1	8594–8604	8594–8604	NUM
cana-5163	422	2	.	.	PUNCT
cana-5163	423	1	[	[	X
cana-5163	423	2	29	29	NUM
cana-5163	423	3	]	]	X
cana-5163	423	4	merayo	merayo	PROPN
cana-5163	423	5	,	,	PUNCT
cana-5163	423	6	n.	n.	NOUN
cana-5163	423	7	,	,	PUNCT
cana-5163	423	8	ayuso	ayuso	NOUN
cana-5163	423	9	-	-	PUNCT
cana-5163	423	10	lanchares	lanchare	NOUN
cana-5163	423	11	,	,	PUNCT
cana-5163	423	12	a.	a.	NOUN
cana-5163	423	13	,	,	PUNCT
cana-5163	423	14	&	&	CCONJ
cana-5163	423	15	gonzález	gonzález	PROPN
cana-5163	423	16	-	-	PUNCT
cana-5163	423	17	sanguino	sanguino	NOUN
cana-5163	423	18	,	,	PUNCT
cana-5163	423	19	c.	c.	PROPN
cana-5163	423	20	(	(	PUNCT
cana-5163	423	21	2025	2025	NUM
cana-5163	423	22	)	)	PUNCT
cana-5163	423	23	.	.	PUNCT
cana-5163	424	1	machine	machine	NOUN
cana-5163	424	2	learning	learn	VERB
cana-5163	424	3	algorithms	algorithm	NOUN
cana-5163	424	4	to	to	PART
cana-5163	424	5	address	address	VERB
cana-5163	424	6	the	the	DET
cana-5163	424	7	polarity	polarity	NOUN
cana-5163	424	8	and	and	CCONJ
cana-5163	424	9	stigma	stigma	NOUN
cana-5163	424	10	of	of	ADP
cana-5163	424	11	mental	mental	ADJ
cana-5163	424	12	health	health	NOUN
cana-5163	424	13	disclosures	disclosure	NOUN
cana-5163	424	14	on	on	ADP
cana-5163	424	15	instagram	instagram	PROPN
cana-5163	424	16	.	.	PUNCT
cana-5163	425	1	expert	expert	NOUN
cana-5163	425	2	systems	system	NOUN
cana-5163	425	3	,	,	PUNCT
cana-5163	425	4	42(2	42(2	NOUN
cana-5163	425	5	)	)	PUNCT
cana-5163	425	6	,	,	PUNCT
cana-5163	425	7	1–17	1–17	PROPN
cana-5163	425	8	.	.	PUNCT
cana-5163	426	1	https://doi.org/10.1111/exsy.13832	https://doi.org/10.1111/exsy.13832	NOUN
cana-5163	426	2	[	[	X
cana-5163	426	3	30	30	NUM
cana-5163	426	4	]	]	X
cana-5163	426	5	pande	pande	NOUN
cana-5163	426	6	,	,	PUNCT
cana-5163	426	7	s.	s.	PROPN
cana-5163	426	8	d.	d.	PROPN
cana-5163	426	9	,	,	PUNCT
cana-5163	426	10	hasane	hasane	PROPN
cana-5163	426	11	ahammad	ahammad	PROPN
cana-5163	426	12	,	,	PUNCT
cana-5163	426	13	s.	s.	PROPN
cana-5163	426	14	k.	k.	PROPN
cana-5163	426	15	,	,	PUNCT
cana-5163	426	16	gurav	gurav	PROPN
cana-5163	426	17	,	,	PUNCT
cana-5163	426	18	m.	m.	NOUN
cana-5163	426	19	n.	n.	PROPN
cana-5163	426	20	,	,	PUNCT
cana-5163	426	21	faragallah	faragallah	PROPN
cana-5163	426	22	,	,	PUNCT
cana-5163	426	23	o.	o.	PROPN
cana-5163	426	24	s.	s.	PROPN
cana-5163	426	25	,	,	PUNCT
cana-5163	426	26	eid	eid	PROPN
cana-5163	426	27	,	,	PUNCT
cana-5163	426	28	m.	m.	NOUN
cana-5163	426	29	m.	m.	PROPN
cana-5163	426	30	a.	a.	PROPN
cana-5163	426	31	,	,	PUNCT
cana-5163	426	32	&	&	CCONJ
cana-5163	426	33	rashed	rashed	PROPN
cana-5163	426	34	,	,	PUNCT
cana-5163	426	35	a.	a.	PROPN
cana-5163	426	36	n.	n.	PROPN
cana-5163	426	37	z.	z.	PROPN
cana-5163	426	38	(	(	PUNCT
cana-5163	426	39	2024	2024	NUM
cana-5163	426	40	)	)	PUNCT
cana-5163	426	41	.	.	PUNCT
cana-5163	427	1	depression	depression	NOUN
cana-5163	427	2	detection	detection	NOUN
cana-5163	427	3	based	base	VERB
cana-5163	427	4	on	on	ADP
cana-5163	427	5	social	social	ADJ
cana-5163	427	6	networking	networking	NOUN
cana-5163	427	7	sites	site	NOUN
cana-5163	427	8	using	use	VERB
cana-5163	427	9	data	datum	NOUN
cana-5163	427	10	mining	mining	NOUN
cana-5163	427	11	.	.	PUNCT
cana-5163	428	1	multimedia	multimedia	NOUN
cana-5163	428	2	tools	tool	NOUN
cana-5163	428	3	and	and	CCONJ
cana-5163	428	4	applications	application	NOUN
cana-5163	428	5	,	,	PUNCT
cana-5163	428	6	83(9	83(9	NUM
cana-5163	428	7	)	)	PUNCT
cana-5163	428	8	,	,	PUNCT
cana-5163	428	9	25951–25967	25951–25967	NUM
cana-5163	428	10	.	.	PUNCT
cana-5163	429	1	https://doi.org/10.1007/s11042-02316564-7	https://doi.org/10.1007/s11042-02316564-7	PROPN
cana-5163	430	1	[	[	X
cana-5163	430	2	31	31	NUM
cana-5163	430	3	]	]	X
cana-5163	430	4	philip	philip	PROPN
cana-5163	430	5	thekkekara	thekkekara	PROPN
cana-5163	430	6	,	,	PUNCT
cana-5163	430	7	j.	j.	PROPN
cana-5163	430	8	,	,	PUNCT
cana-5163	430	9	yongchareon	yongchareon	PROPN
cana-5163	430	10	,	,	PUNCT
cana-5163	430	11	s.	s.	PROPN
cana-5163	430	12	,	,	PUNCT
cana-5163	430	13	&	&	CCONJ
cana-5163	430	14	liesaputra	liesaputra	PROPN
cana-5163	430	15	,	,	PUNCT
cana-5163	430	16	v.	v.	PROPN
cana-5163	430	17	(	(	PUNCT
cana-5163	430	18	2024	2024	NUM
cana-5163	430	19	)	)	PUNCT
cana-5163	430	20	.	.	PUNCT
cana-5163	431	1	an	an	DET
cana-5163	431	2	attention	attention	NOUN
cana-5163	431	3	-	-	PUNCT
cana-5163	431	4	based	base	VERB
cana-5163	431	5	cnnbilstm	cnnbilstm	PROPN
cana-5163	431	6	model	model	NOUN
cana-5163	431	7	for	for	ADP
cana-5163	431	8	depression	depression	NOUN
cana-5163	431	9	detection	detection	NOUN
cana-5163	431	10	on	on	ADP
cana-5163	431	11	social	social	ADJ
cana-5163	431	12	media	medium	NOUN
cana-5163	431	13	text	text	NOUN
cana-5163	431	14	.	.	PUNCT
cana-5163	432	1	expert	expert	NOUN
cana-5163	432	2	systems	system	NOUN
cana-5163	432	3	with	with	ADP
cana-5163	432	4	applications	application	NOUN
cana-5163	432	5	,	,	PUNCT
cana-5163	432	6	249(pc	249(pc	NUM
cana-5163	432	7	)	)	PUNCT
cana-5163	432	8	,	,	PUNCT
cana-5163	432	9	123834	123834	NUM
cana-5163	432	10	.	.	PUNCT
cana-5163	433	1	https://doi.org/10.1016/j.eswa.2024.123834	https://doi.org/10.1016/j.eswa.2024.123834	VERB
cana-5163	433	2	[	[	X
cana-5163	433	3	32	32	NUM
cana-5163	433	4	]	]	X
cana-5163	433	5	ramirez	ramirez	NOUN
cana-5163	433	6	-	-	PUNCT
cana-5163	433	7	cifuentes	cifuentes	PROPN
cana-5163	433	8	,	,	PUNCT
cana-5163	433	9	d.	d.	PROPN
cana-5163	433	10	,	,	PUNCT
cana-5163	433	11	largeron	largeron	PROPN
cana-5163	433	12	,	,	PUNCT
cana-5163	433	13	c.	c.	NOUN
cana-5163	433	14	,	,	PUNCT
cana-5163	433	15	tissier	tissier	NOUN
cana-5163	433	16	,	,	PUNCT
cana-5163	433	17	j.	j.	PROPN
cana-5163	433	18	,	,	PUNCT
cana-5163	433	19	baeza	baeza	PROPN
cana-5163	433	20	-	-	PUNCT
cana-5163	433	21	yates	yates	PROPN
cana-5163	433	22	,	,	PUNCT
cana-5163	433	23	r.	r.	PROPN
cana-5163	433	24	,	,	PUNCT
cana-5163	433	25	&	&	CCONJ
cana-5163	433	26	freire	freire	PROPN
cana-5163	433	27	,	,	PUNCT
cana-5163	433	28	a.	a.	NOUN
cana-5163	433	29	(	(	PUNCT
cana-5163	433	30	2021	2021	NUM
cana-5163	433	31	)	)	PUNCT
cana-5163	433	32	.	.	PUNCT
cana-5163	434	1	enhanced	enhance	VERB
cana-5163	434	2	word	word	NOUN
cana-5163	434	3	embedding	embed	VERB
cana-5163	434	4	variations	variation	NOUN
cana-5163	434	5	for	for	ADP
cana-5163	434	6	the	the	DET
cana-5163	434	7	detection	detection	NOUN
cana-5163	434	8	of	of	ADP
cana-5163	434	9	substance	substance	NOUN
cana-5163	434	10	abuse	abuse	NOUN
cana-5163	434	11	and	and	CCONJ
cana-5163	434	12	mental	mental	ADJ
cana-5163	434	13	health	health	NOUN
cana-5163	434	14	issues	issue	NOUN
cana-5163	434	15	on	on	ADP
cana-5163	434	16	social	social	ADJ
cana-5163	434	17	media	medium	NOUN
cana-5163	434	18	writings	writing	NOUN
cana-5163	434	19	.	.	PUNCT
cana-5163	435	1	ieee	ieee	NOUN
cana-5163	435	2	access	access	NOUN
cana-5163	435	3	,	,	PUNCT
cana-5163	435	4	9	9	NUM
cana-5163	435	5	,	,	PUNCT
cana-5163	435	6	130449–130471	130449–130471	NUM
cana-5163	435	7	.	.	PUNCT
cana-5163	436	1	https://doi.org/10.1109/access.2021.3112102	https://doi.org/10.1109/access.2021.3112102	PROPN
cana-5163	437	1	[	[	X
cana-5163	437	2	33	33	NUM
cana-5163	437	3	]	]	X
cana-5163	437	4	salas	salas	NOUN
cana-5163	437	5	-	-	PUNCT
cana-5163	437	6	zárate	zárate	PROPN
cana-5163	437	7	,	,	PUNCT
cana-5163	437	8	r.	r.	PROPN
cana-5163	437	9	,	,	PUNCT
cana-5163	437	10	alor	alor	PROPN
cana-5163	437	11	-	-	PUNCT
cana-5163	437	12	hernández	hernández	PROPN
cana-5163	437	13	,	,	PUNCT
cana-5163	437	14	g.	g.	PROPN
cana-5163	437	15	,	,	PUNCT
cana-5163	437	16	salas	salas	NOUN
cana-5163	437	17	-	-	PUNCT
cana-5163	437	18	zárate	zárate	NOUN
cana-5163	437	19	,	,	PUNCT
cana-5163	437	20	m.	m.	NOUN
cana-5163	437	21	d.	d.	PROPN
cana-5163	437	22	p.	p.	PROPN
cana-5163	437	23	,	,	PUNCT
cana-5163	437	24	paredes	paredes	PROPN
cana-5163	437	25	-	-	PUNCT
cana-5163	437	26	valverde	valverde	PROPN
cana-5163	437	27	,	,	PUNCT
cana-5163	437	28	m.	m.	NOUN
cana-5163	437	29	a.	a.	PROPN
cana-5163	437	30	,	,	PUNCT
cana-5163	437	31	bustoslópez	bustoslópez	NOUN
cana-5163	437	32	,	,	PUNCT
cana-5163	437	33	m.	m.	NOUN
cana-5163	437	34	,	,	PUNCT
cana-5163	437	35	&	&	CCONJ
cana-5163	437	36	sánchez	sánchez	PROPN
cana-5163	437	37	-	-	PUNCT
cana-5163	437	38	cervantes	cervante	NOUN
cana-5163	437	39	,	,	PUNCT
cana-5163	437	40	j.	j.	PROPN
cana-5163	437	41	l.	l.	PROPN
cana-5163	437	42	(	(	PUNCT
cana-5163	437	43	2022	2022	NUM
cana-5163	437	44	)	)	PUNCT
cana-5163	437	45	.	.	PUNCT
cana-5163	438	1	detecting	detect	VERB
cana-5163	438	2	depression	depression	NOUN
cana-5163	438	3	signs	sign	NOUN
cana-5163	438	4	on	on	ADP
cana-5163	438	5	social	social	ADJ
cana-5163	438	6	media	medium	NOUN
cana-5163	438	7	:	:	PUNCT
cana-5163	438	8	a	a	DET
cana-5163	438	9	systematic	systematic	ADJ
cana-5163	438	10	literature	literature	NOUN
cana-5163	438	11	review	review	NOUN
cana-5163	438	12	.	.	PUNCT
cana-5163	439	1	healthcare	healthcare	PROPN
cana-5163	439	2	(	(	PUNCT
cana-5163	439	3	switzerland	switzerland	PROPN
cana-5163	439	4	)	)	PUNCT
cana-5163	439	5	,	,	PUNCT
cana-5163	439	6	10(2	10(2	NUM
cana-5163	439	7	)	)	PUNCT
cana-5163	439	8	,	,	PUNCT
cana-5163	439	9	1–22	1–22	PROPN
cana-5163	439	10	.	.	PUNCT
cana-5163	440	1	https://doi.org/10.3390/healthcare10020291	https://doi.org/10.3390/healthcare10020291	PROPN
cana-5163	440	2	[	[	X
cana-5163	440	3	34	34	NUM
cana-5163	440	4	]	]	X
cana-5163	440	5	shah	shah	NOUN
cana-5163	440	6	,	,	PUNCT
cana-5163	440	7	f.	f.	PROPN
cana-5163	440	8	m.	m.	PROPN
cana-5163	440	9	,	,	PUNCT
cana-5163	440	10	ahmed	ahmed	PROPN
cana-5163	440	11	,	,	PUNCT
cana-5163	440	12	f.	f.	PROPN
cana-5163	440	13	,	,	PUNCT
cana-5163	440	14	saha	saha	PROPN
cana-5163	440	15	joy	joy	PROPN
cana-5163	440	16	,	,	PUNCT
cana-5163	440	17	s.	s.	PROPN
cana-5163	440	18	k.	k.	PROPN
cana-5163	440	19	,	,	PUNCT
cana-5163	440	20	ahmed	ahmed	PROPN
cana-5163	440	21	,	,	PUNCT
cana-5163	440	22	s.	s.	PROPN
cana-5163	440	23	,	,	PUNCT
cana-5163	440	24	sadek	sadek	PROPN
cana-5163	440	25	,	,	PUNCT
cana-5163	440	26	s.	s.	PROPN
cana-5163	440	27	,	,	PUNCT
cana-5163	440	28	shil	shil	PROPN
cana-5163	440	29	,	,	PUNCT
cana-5163	440	30	r.	r.	PROPN
cana-5163	440	31	,	,	PUNCT
cana-5163	440	32	&	&	CCONJ
cana-5163	440	33	kabir	kabir	PROPN
cana-5163	440	34	,	,	PUNCT
cana-5163	440	35	m.	m.	NOUN
cana-5163	440	36	h.	h.	PROPN
cana-5163	440	37	(	(	PUNCT
cana-5163	440	38	2020	2020	NUM
cana-5163	440	39	)	)	PUNCT
cana-5163	440	40	.	.	PUNCT
cana-5163	441	1	early	early	ADJ
cana-5163	441	2	depression	depression	NOUN
cana-5163	441	3	detection	detection	NOUN
cana-5163	441	4	from	from	ADP
cana-5163	441	5	social	social	ADJ
cana-5163	441	6	network	network	NOUN
cana-5163	441	7	using	use	VERB
cana-5163	441	8	deep	deep	ADJ
cana-5163	441	9	learning	learning	NOUN
cana-5163	441	10	techniques	technique	NOUN
cana-5163	441	11	.	.	PUNCT
cana-5163	442	1	2020	2020	NUM
cana-5163	442	2	ieee	ieee	NOUN
cana-5163	442	3	region	region	NOUN
cana-5163	442	4	10	10	NUM
cana-5163	442	5	symposium	symposium	NOUN
cana-5163	442	6	,	,	PUNCT
cana-5163	442	7	tensymp	tensymp	NOUN
cana-5163	442	8	2020	2020	NUM
cana-5163	442	9	,	,	PUNCT
cana-5163	442	10	1(june	1(june	NUM
cana-5163	442	11	)	)	PUNCT
cana-5163	442	12	,	,	PUNCT
cana-5163	442	13	823–826	823–826	NUM
cana-5163	442	14	.	.	PUNCT
cana-5163	443	1	https://doi.org/10.1109/tensymp50017.2020.9231008	https://doi.org/10.1109/tensymp50017.2020.9231008	PROPN
cana-5163	444	1	[	[	X
cana-5163	444	2	35	35	NUM
cana-5163	444	3	]	]	X
cana-5163	444	4	shetty	shetty	PROPN
cana-5163	444	5	,	,	PUNCT
cana-5163	444	6	n.	n.	PROPN
cana-5163	444	7	p.	p.	PROPN
cana-5163	444	8	,	,	PUNCT
cana-5163	444	9	singh	singh	PROPN
cana-5163	444	10	,	,	PUNCT
cana-5163	444	11	y.	y.	PROPN
cana-5163	444	12	,	,	PUNCT
cana-5163	444	13	hegde	hegde	PROPN
cana-5163	444	14	,	,	PUNCT
cana-5163	444	15	v.	v.	ADV
cana-5163	444	16	,	,	PUNCT
cana-5163	444	17	cenitta	cenitta	NOUN
cana-5163	444	18	,	,	PUNCT
cana-5163	444	19	d.	d.	PROPN
cana-5163	444	20	,	,	PUNCT
cana-5163	444	21	&	&	CCONJ
cana-5163	444	22	dhruthi	dhruthi	PROPN
cana-5163	444	23	,	,	PUNCT
cana-5163	444	24	k.	k.	PROPN
cana-5163	444	25	(	(	PUNCT
cana-5163	444	26	2025	2025	NUM
cana-5163	444	27	)	)	PUNCT
cana-5163	444	28	.	.	PUNCT
cana-5163	445	1	exploring	explore	VERB
cana-5163	445	2	emotional	emotional	ADJ
cana-5163	445	3	patterns	pattern	NOUN
cana-5163	445	4	in	in	ADP
cana-5163	445	5	social	social	ADJ
cana-5163	445	6	media	medium	NOUN
cana-5163	445	7	through	through	ADP
cana-5163	445	8	nlp	nlp	NOUN
cana-5163	445	9	models	model	NOUN
cana-5163	445	10	to	to	PART
cana-5163	445	11	unravel	unravel	VERB
cana-5163	445	12	mental	mental	ADJ
cana-5163	445	13	health	health	NOUN
cana-5163	445	14	insights	insight	NOUN
cana-5163	445	15	.	.	PUNCT
cana-5163	446	1	healthcare	healthcare	NOUN
cana-5163	446	2	communications	communication	NOUN
cana-5163	446	3	on	on	ADP
cana-5163	446	4	applied	apply	VERB
cana-5163	446	5	nonlinear	nonlinear	ADJ
cana-5163	446	6	analysis	analysis	NOUN
cana-5163	446	7	issn	issn	NOUN
cana-5163	446	8	:	:	PUNCT
cana-5163	446	9	1074	1074	NUM
cana-5163	446	10	-	-	PUNCT
cana-5163	446	11	133x	133x	NUM
cana-5163	446	12	vol	vol	NOUN
cana-5163	446	13	32	32	NUM
cana-5163	446	14	no	no	NOUN
cana-5163	446	15	.	.	PUNCT
cana-5163	447	1	icmasd	icmasd	NOUN
cana-5163	447	2	(	(	PUNCT
cana-5163	447	3	2025	2025	NUM
cana-5163	447	4	)	)	PUNCT
cana-5163	447	5	1408	1408	NUM
cana-5163	447	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5163	447	7	technology	technology	NOUN
cana-5163	447	8	letters	letter	NOUN
cana-5163	447	9	,	,	PUNCT
cana-5163	447	10	(	(	PUNCT
cana-5163	447	11	october	october	PROPN
cana-5163	447	12	2024	2024	NUM
cana-5163	447	13	)	)	PUNCT
cana-5163	447	14	,	,	PUNCT
cana-5163	447	15	1–17	1–17	PROPN
cana-5163	447	16	.	.	PUNCT
cana-5163	447	17	https://doi.org/10.1049/htl2.12096	https://doi.org/10.1049/htl2.12096	PUNCT
cana-5163	448	1	[	[	X
cana-5163	448	2	36	36	NUM
cana-5163	448	3	]	]	X
cana-5163	448	4	tadesse	tadesse	PROPN
cana-5163	448	5	,	,	PUNCT
cana-5163	448	6	michael	michael	PROPN
cana-5163	448	7	m.	m.	PROPN
cana-5163	448	8	,	,	PUNCT
cana-5163	448	9	lin	lin	PROPN
cana-5163	448	10	,	,	PUNCT
cana-5163	448	11	h.	h.	PROPN
cana-5163	448	12	,	,	PUNCT
cana-5163	448	13	xu	xu	PROPN
cana-5163	448	14	,	,	PUNCT
cana-5163	448	15	b.	b.	PROPN
cana-5163	448	16	,	,	PUNCT
cana-5163	448	17	&	&	CCONJ
cana-5163	448	18	yang	yang	PROPN
cana-5163	448	19	,	,	PUNCT
cana-5163	448	20	l.	l.	PROPN
cana-5163	448	21	(	(	PUNCT
cana-5163	448	22	2019	2019	NUM
cana-5163	448	23	)	)	PUNCT
cana-5163	448	24	.	.	PUNCT
cana-5163	449	1	detection	detection	NOUN
cana-5163	449	2	of	of	ADP
cana-5163	449	3	depression	depression	NOUN
cana-5163	449	4	-	-	PUNCT
cana-5163	449	5	related	relate	VERB
cana-5163	449	6	posts	post	NOUN
cana-5163	449	7	in	in	ADP
cana-5163	449	8	reddit	reddit	NOUN
cana-5163	449	9	social	social	ADJ
cana-5163	449	10	media	medium	NOUN
cana-5163	449	11	forum	forum	PROPN
cana-5163	449	12	.	.	PUNCT
cana-5163	450	1	ieee	ieee	NOUN
cana-5163	450	2	access	access	NOUN
cana-5163	450	3	,	,	PUNCT
cana-5163	450	4	7	7	NUM
cana-5163	450	5	,	,	PUNCT
cana-5163	450	6	44883–44893	44883–44893	NUM
cana-5163	450	7	.	.	PUNCT
cana-5163	451	1	https://doi.org/10.1109/access.2019.2909180	https://doi.org/10.1109/access.2019.2909180	PROPN
cana-5163	452	1	[	[	X
cana-5163	452	2	37	37	NUM
cana-5163	452	3	]	]	SYM
cana-5163	452	4	tadesse	tadesse	PROPN
cana-5163	452	5	,	,	PUNCT
cana-5163	452	6	michael	michael	PROPN
cana-5163	452	7	mesfin	mesfin	PROPN
cana-5163	452	8	,	,	PUNCT
cana-5163	452	9	lin	lin	PROPN
cana-5163	452	10	,	,	PUNCT
cana-5163	452	11	h.	h.	PROPN
cana-5163	452	12	,	,	PUNCT
cana-5163	452	13	xu	xu	PROPN
cana-5163	452	14	,	,	PUNCT
cana-5163	452	15	b.	b.	PROPN
cana-5163	452	16	,	,	PUNCT
cana-5163	452	17	&	&	CCONJ
cana-5163	452	18	yang	yang	PROPN
cana-5163	452	19	,	,	PUNCT
cana-5163	452	20	l.	l.	PROPN
cana-5163	452	21	(	(	PUNCT
cana-5163	452	22	2019	2019	NUM
cana-5163	452	23	)	)	PUNCT
cana-5163	452	24	.	.	PUNCT
cana-5163	453	1	detection	detection	NOUN
cana-5163	453	2	of	of	ADP
cana-5163	453	3	suicide	suicide	NOUN
cana-5163	453	4	ideation	ideation	NOUN
cana-5163	453	5	in	in	ADP
cana-5163	453	6	social	social	ADJ
cana-5163	453	7	media	medium	NOUN
cana-5163	453	8	forums	forum	NOUN
cana-5163	453	9	using	use	VERB
cana-5163	453	10	deep	deep	ADJ
cana-5163	453	11	learning	learning	NOUN
cana-5163	453	12	.	.	PUNCT
cana-5163	454	1	algorithms	algorithm	NOUN
cana-5163	454	2	,	,	PUNCT
cana-5163	454	3	13(1	13(1	NUM
cana-5163	454	4	)	)	PUNCT
cana-5163	454	5	,	,	PUNCT
cana-5163	454	6	1–19	1–19	PROPN
cana-5163	454	7	.	.	PUNCT
cana-5163	455	1	https://doi.org/10.3390/a13010007	https://doi.org/10.3390/a13010007	NUM
cana-5163	456	1	[	[	X
cana-5163	456	2	38	38	NUM
cana-5163	456	3	]	]	X
cana-5163	456	4	tahir	tahir	PROPN
cana-5163	456	5	,	,	PUNCT
cana-5163	456	6	w.	w.	PROPN
cana-5163	456	7	b.	b.	PROPN
cana-5163	456	8	i.	i.	PROPN
cana-5163	456	9	n.	n.	PROPN
cana-5163	456	10	,	,	PUNCT
cana-5163	456	11	khalid	khalid	PROPN
cana-5163	456	12	,	,	PUNCT
cana-5163	456	13	s.	s.	PROPN
cana-5163	456	14	,	,	PUNCT
cana-5163	456	15	almutairi	almutairi	PROPN
cana-5163	456	16	,	,	PUNCT
cana-5163	456	17	s.	s.	PROPN
cana-5163	456	18	,	,	PUNCT
cana-5163	456	19	memon	memon	PROPN
cana-5163	456	20	,	,	PUNCT
cana-5163	456	21	s.	s.	PROPN
cana-5163	456	22	a.	a.	PROPN
cana-5163	456	23	l.	l.	PROPN
cana-5163	456	24	i.	i.	PROPN
cana-5163	456	25	,	,	PUNCT
cana-5163	456	26	&	&	CCONJ
cana-5163	456	27	khan	khan	PROPN
cana-5163	456	28	,	,	PUNCT
cana-5163	456	29	j.	j.	PROPN
cana-5163	456	30	(	(	PUNCT
cana-5163	456	31	2025	2025	NUM
cana-5163	456	32	)	)	PUNCT
cana-5163	456	33	.	.	PUNCT
cana-5163	457	1	depression	depression	NOUN
cana-5163	457	2	detection	detection	NOUN
cana-5163	457	3	in	in	ADP
cana-5163	457	4	social	social	ADJ
cana-5163	457	5	media	medium	NOUN
cana-5163	457	6	 	 	SPACE
cana-5163	457	7	:	:	PUNCT
cana-5163	457	8	a	a	DET
cana-5163	457	9	comprehensive	comprehensive	ADJ
cana-5163	457	10	review	review	NOUN
cana-5163	457	11	of	of	ADP
cana-5163	457	12	machine	machine	NOUN
cana-5163	457	13	learning	learning	NOUN
cana-5163	457	14	and	and	CCONJ
cana-5163	457	15	deep	deep	ADJ
cana-5163	457	16	learning	learning	NOUN
cana-5163	457	17	techniques	technique	NOUN
cana-5163	457	18	.	.	PUNCT
cana-5163	458	1	ieee	ieee	NOUN
cana-5163	458	2	access	access	NOUN
cana-5163	458	3	,	,	PUNCT
cana-5163	458	4	pp	pp	CCONJ
cana-5163	458	5	,	,	PUNCT
cana-5163	458	6	1	1	NUM
cana-5163	458	7	.	.	X
cana-5163	458	8	https://doi.org/10.1109/access.2025.3530862	https://doi.org/10.1109/access.2025.3530862	NOUN
cana-5163	459	1	[	[	X
cana-5163	459	2	39	39	NUM
cana-5163	459	3	]	]	PUNCT
cana-5163	459	4	vasha	vasha	PROPN
cana-5163	459	5	,	,	PUNCT
cana-5163	459	6	z.	z.	PROPN
cana-5163	459	7	n.	n.	PROPN
cana-5163	459	8	,	,	PUNCT
cana-5163	459	9	sharma	sharma	PROPN
cana-5163	459	10	,	,	PUNCT
cana-5163	459	11	b.	b.	PROPN
cana-5163	459	12	,	,	PUNCT
cana-5163	459	13	esha	esha	PROPN
cana-5163	459	14	,	,	PUNCT
cana-5163	459	15	i.	i.	PROPN
cana-5163	459	16	j.	j.	PROPN
cana-5163	459	17	,	,	PUNCT
cana-5163	459	18	al	al	PROPN
cana-5163	459	19	nahian	nahian	PROPN
cana-5163	459	20	,	,	PUNCT
cana-5163	459	21	j.	j.	PROPN
cana-5163	459	22	,	,	PUNCT
cana-5163	459	23	&	&	CCONJ
cana-5163	459	24	polin	polin	PROPN
cana-5163	459	25	,	,	PUNCT
cana-5163	459	26	j.	j.	PROPN
cana-5163	459	27	a.	a.	PROPN
cana-5163	459	28	(	(	PUNCT
cana-5163	459	29	2023	2023	NUM
cana-5163	459	30	)	)	PUNCT
cana-5163	459	31	.	.	PUNCT
cana-5163	460	1	depression	depression	NOUN
cana-5163	460	2	detection	detection	NOUN
cana-5163	460	3	in	in	ADP
cana-5163	460	4	social	social	ADJ
cana-5163	460	5	media	medium	NOUN
cana-5163	460	6	comments	comment	NOUN
cana-5163	460	7	data	datum	NOUN
cana-5163	460	8	using	use	VERB
cana-5163	460	9	machine	machine	NOUN
cana-5163	460	10	learning	learning	NOUN
cana-5163	460	11	algorithms	algorithm	NOUN
cana-5163	460	12	.	.	PUNCT
cana-5163	461	1	bulletin	bulletin	NOUN
cana-5163	461	2	of	of	ADP
cana-5163	461	3	electrical	electrical	ADJ
cana-5163	461	4	engineering	engineering	NOUN
cana-5163	461	5	and	and	CCONJ
cana-5163	461	6	informatics	informatic	NOUN
cana-5163	461	7	,	,	PUNCT
cana-5163	461	8	12(2	12(2	NUM
cana-5163	461	9	)	)	PUNCT
cana-5163	461	10	,	,	PUNCT
cana-5163	461	11	987–996	987–996	NUM
cana-5163	461	12	.	.	PUNCT
cana-5163	462	1	https://doi.org/10.11591/eei.v12i2.4182	https://doi.org/10.11591/eei.v12i2.4182	PROPN
cana-5163	462	2	[	[	X
cana-5163	462	3	40	40	NUM
cana-5163	462	4	]	]	X
cana-5163	462	5	william	william	PROPN
cana-5163	462	6	,	,	PUNCT
cana-5163	462	7	d.	d.	PROPN
cana-5163	462	8	,	,	PUNCT
cana-5163	462	9	&	&	CCONJ
cana-5163	462	10	suhartono	suhartono	PROPN
cana-5163	462	11	,	,	PUNCT
cana-5163	462	12	d.	d.	PROPN
cana-5163	462	13	(	(	PUNCT
cana-5163	462	14	2021	2021	NUM
cana-5163	462	15	)	)	PUNCT
cana-5163	462	16	.	.	PUNCT
cana-5163	463	1	text	text	NOUN
cana-5163	463	2	-	-	PUNCT
cana-5163	463	3	based	base	VERB
cana-5163	463	4	depression	depression	NOUN
cana-5163	463	5	detection	detection	NOUN
cana-5163	463	6	on	on	ADP
cana-5163	463	7	social	social	ADJ
cana-5163	463	8	media	medium	NOUN
cana-5163	463	9	posts	post	NOUN
cana-5163	463	10	:	:	PUNCT
cana-5163	463	11	a	a	DET
cana-5163	463	12	systematic	systematic	ADJ
cana-5163	463	13	literature	literature	NOUN
cana-5163	463	14	review	review	NOUN
cana-5163	463	15	.	.	PUNCT
cana-5163	464	1	procedia	procedia	PROPN
cana-5163	464	2	computer	computer	NOUN
cana-5163	464	3	science	science	NOUN
cana-5163	464	4	,	,	PUNCT
cana-5163	464	5	179(2019	179(2019	NUM
cana-5163	464	6	)	)	PUNCT
cana-5163	464	7	,	,	PUNCT
cana-5163	464	8	582–589	582–589	NUM
cana-5163	464	9	.	.	PUNCT
cana-5163	465	1	https://doi.org/10.1016/j.procs.2021.01.043	https://doi.org/10.1016/j.procs.2021.01.043	PROPN
cana-5163	465	2	[	[	X
cana-5163	465	3	41	41	NUM
cana-5163	465	4	]	]	X
cana-5163	465	5	wongkoblap	wongkoblap	NOUN
cana-5163	465	6	,	,	PUNCT
cana-5163	465	7	a.	a.	NOUN
cana-5163	465	8	,	,	PUNCT
cana-5163	465	9	vadillo	vadillo	NOUN
cana-5163	465	10	,	,	PUNCT
cana-5163	465	11	m.	m.	NOUN
cana-5163	465	12	a.	a.	PROPN
cana-5163	465	13	,	,	PUNCT
cana-5163	465	14	&	&	CCONJ
cana-5163	465	15	curcin	curcin	PROPN
cana-5163	465	16	,	,	PUNCT
cana-5163	465	17	v.	v.	PROPN
cana-5163	465	18	(	(	PUNCT
cana-5163	465	19	2021	2021	NUM
cana-5163	465	20	)	)	PUNCT
cana-5163	465	21	.	.	PUNCT
cana-5163	466	1	deep	deep	ADJ
cana-5163	466	2	learning	learn	VERB
cana-5163	466	3	with	with	ADP
cana-5163	466	4	anaphora	anaphora	ADJ
cana-5163	466	5	resolution	resolution	NOUN
cana-5163	466	6	for	for	ADP
cana-5163	466	7	the	the	DET
cana-5163	466	8	detection	detection	NOUN
cana-5163	466	9	of	of	ADP
cana-5163	466	10	tweeters	tweeter	NOUN
cana-5163	466	11	with	with	ADP
cana-5163	466	12	depression	depression	NOUN
cana-5163	466	13	:	:	PUNCT
cana-5163	466	14	algorithm	algorithm	PROPN
cana-5163	466	15	development	development	NOUN
cana-5163	466	16	and	and	CCONJ
cana-5163	466	17	validation	validation	NOUN
cana-5163	466	18	study	study	NOUN
cana-5163	466	19	.	.	PUNCT
cana-5163	467	1	jmir	jmir	PROPN
cana-5163	467	2	mental	mental	PROPN
cana-5163	467	3	health	health	PROPN
cana-5163	467	4	,	,	PUNCT
cana-5163	467	5	8(8	8(8	NUM
cana-5163	467	6	)	)	PUNCT
cana-5163	467	7	.	.	PUNCT
cana-5163	468	1	https://doi.org/10.2196/19824	https://doi.org/10.2196/19824	NOUN
cana-5163	469	1	[	[	X
cana-5163	469	2	42	42	NUM
cana-5163	469	3	]	]	X
cana-5163	469	4	yang	yang	PROPN
cana-5163	469	5	,	,	PUNCT
cana-5163	469	6	k.	k.	PROPN
cana-5163	469	7	,	,	PUNCT
cana-5163	469	8	zhang	zhang	PROPN
cana-5163	469	9	,	,	PUNCT
cana-5163	469	10	t.	t.	PROPN
cana-5163	469	11	,	,	PUNCT
cana-5163	469	12	kuang	kuang	PROPN
cana-5163	469	13	,	,	PUNCT
cana-5163	469	14	z.	z.	PROPN
cana-5163	469	15	,	,	PUNCT
cana-5163	469	16	xie	xie	PROPN
cana-5163	469	17	,	,	PUNCT
cana-5163	469	18	q.	q.	PROPN
cana-5163	469	19	,	,	PUNCT
cana-5163	469	20	huang	huang	PROPN
cana-5163	469	21	,	,	PUNCT
cana-5163	469	22	j.	j.	PROPN
cana-5163	469	23	,	,	PUNCT
cana-5163	469	24	&	&	CCONJ
cana-5163	469	25	ananiadou	ananiadou	PROPN
cana-5163	469	26	,	,	PUNCT
cana-5163	469	27	s.	s.	PROPN
cana-5163	469	28	(	(	PUNCT
cana-5163	469	29	2024	2024	NUM
cana-5163	469	30	)	)	PUNCT
cana-5163	469	31	.	.	PUNCT
cana-5163	470	1	mentallama	mentallama	NOUN
cana-5163	470	2	:	:	PUNCT
cana-5163	470	3	interpretable	interpretable	ADJ
cana-5163	470	4	mental	mental	ADJ
cana-5163	470	5	health	health	NOUN
cana-5163	470	6	analysis	analysis	NOUN
cana-5163	470	7	on	on	ADP
cana-5163	470	8	social	social	ADJ
cana-5163	470	9	media	medium	NOUN
cana-5163	470	10	with	with	ADP
cana-5163	470	11	large	large	ADJ
cana-5163	470	12	language	language	NOUN
cana-5163	470	13	models	model	NOUN
cana-5163	470	14	.	.	PUNCT
cana-5163	471	1	www	www	NOUN
cana-5163	471	2	2024	2024	NUM
cana-5163	471	3	proceedings	proceeding	NOUN
cana-5163	471	4	of	of	ADP
cana-5163	471	5	the	the	DET
cana-5163	471	6	acm	acm	PROPN
cana-5163	471	7	web	web	NOUN
cana-5163	471	8	conference	conference	NOUN
cana-5163	471	9	,	,	PUNCT
cana-5163	471	10	4489–4500	4489–4500	NUM
cana-5163	471	11	.	.	PUNCT
cana-5163	471	12	https://doi.org/10.1145/3589334.3648137	https://doi.org/10.1145/3589334.3648137	X
cana-5163	472	1	[	[	X
cana-5163	472	2	43	43	NUM
cana-5163	472	3	]	]	X
cana-5163	472	4	zhang	zhang	PROPN
cana-5163	472	5	,	,	PUNCT
cana-5163	472	6	t.	t.	PROPN
cana-5163	472	7	,	,	PUNCT
cana-5163	472	8	yang	yang	PROPN
cana-5163	472	9	,	,	PUNCT
cana-5163	472	10	k.	k.	PROPN
cana-5163	472	11	,	,	PUNCT
cana-5163	472	12	ji	ji	PROPN
cana-5163	472	13	,	,	PUNCT
cana-5163	472	14	s.	s.	PROPN
cana-5163	472	15	,	,	PUNCT
cana-5163	472	16	&	&	CCONJ
cana-5163	472	17	ananiadou	ananiadou	PROPN
cana-5163	472	18	,	,	PUNCT
cana-5163	472	19	s.	s.	PROPN
cana-5163	472	20	(	(	PUNCT
cana-5163	472	21	2023	2023	NUM
cana-5163	472	22	)	)	PUNCT
cana-5163	472	23	.	.	PUNCT
cana-5163	473	1	emotion	emotion	NOUN
cana-5163	473	2	fusion	fusion	NOUN
cana-5163	473	3	for	for	ADP
cana-5163	473	4	mental	mental	ADJ
cana-5163	473	5	illness	illness	NOUN
cana-5163	473	6	detection	detection	NOUN
cana-5163	473	7	from	from	ADP
cana-5163	473	8	social	social	ADJ
cana-5163	473	9	media	medium	NOUN
cana-5163	473	10	:	:	PUNCT
cana-5163	473	11	a	a	DET
cana-5163	473	12	survey	survey	NOUN
cana-5163	473	13	.	.	PUNCT
cana-5163	474	1	information	information	NOUN
cana-5163	474	2	fusion	fusion	NOUN
cana-5163	474	3	,	,	PUNCT
cana-5163	474	4	92(december	92(december	NOUN
cana-5163	474	5	2022	2022	NUM
cana-5163	474	6	)	)	PUNCT
cana-5163	474	7	,	,	PUNCT
cana-5163	474	8	231–246	231–246	NUM
cana-5163	474	9	.	.	PUNCT
cana-5163	475	1	https://doi.org/10.1016/j.inffus.2022.11.031	https://doi.org/10.1016/j.inffus.2022.11.031	PRON
cana-5163	475	2	[	[	X
cana-5163	475	3	44	44	NUM
cana-5163	475	4	]	]	SYM
cana-5163	475	5	zhang	zhang	PROPN
cana-5163	475	6	,	,	PUNCT
cana-5163	475	7	z.	z.	PROPN
cana-5163	475	8	,	,	PUNCT
cana-5163	475	9	zhu	zhu	PROPN
cana-5163	475	10	,	,	PUNCT
cana-5163	475	11	j.	j.	PROPN
cana-5163	475	12	,	,	PUNCT
cana-5163	475	13	guo	guo	PROPN
cana-5163	475	14	,	,	PUNCT
cana-5163	475	15	z.	z.	PROPN
cana-5163	475	16	,	,	PUNCT
cana-5163	475	17	zhang	zhang	PROPN
cana-5163	475	18	,	,	PUNCT
cana-5163	475	19	y.	y.	PROPN
cana-5163	475	20	,	,	PUNCT
cana-5163	475	21	li	li	PROPN
cana-5163	475	22	,	,	PUNCT
cana-5163	475	23	z.	z.	PROPN
cana-5163	475	24	,	,	PUNCT
cana-5163	475	25	&	&	CCONJ
cana-5163	475	26	hu	hu	PROPN
cana-5163	475	27	,	,	PUNCT
cana-5163	475	28	b.	b.	PROPN
cana-5163	475	29	(	(	PUNCT
cana-5163	475	30	2024	2024	NUM
cana-5163	475	31	)	)	PUNCT
cana-5163	475	32	.	.	PUNCT
cana-5163	476	1	natural	natural	ADJ
cana-5163	476	2	language	language	NOUN
cana-5163	476	3	processing	processing	NOUN
cana-5163	476	4	for	for	ADP
cana-5163	476	5	depression	depression	NOUN
cana-5163	476	6	prediction	prediction	NOUN
cana-5163	476	7	on	on	ADP
cana-5163	476	8	sina	sina	PROPN
cana-5163	476	9	weibo	weibo	PROPN
cana-5163	476	10	:	:	PUNCT
cana-5163	476	11	method	method	NOUN
cana-5163	476	12	study	study	NOUN
cana-5163	476	13	and	and	CCONJ
cana-5163	476	14	analysis	analysis	NOUN
cana-5163	476	15	.	.	PUNCT
cana-5163	477	1	jmir	jmir	PROPN
cana-5163	477	2	mental	mental	PROPN
cana-5163	477	3	health	health	PROPN
cana-5163	477	4	,	,	PUNCT
cana-5163	477	5	11	11	NUM
cana-5163	477	6	,	,	PUNCT
cana-5163	477	7	e58259	e58259	PROPN
cana-5163	477	8	–	–	PUNCT
cana-5163	477	9	e58259	e58259	NOUN
cana-5163	477	10	.	.	PUNCT
cana-5163	478	1	https://doi.org/10.2196/58259	https://doi.org/10.2196/58259	NOUN