id	sid	tid	token	lemma	pos
cana-1223	1	1	communications	communication	NOUN
cana-1223	1	2	on	on	ADP
cana-1223	1	3	applied	apply	VERB
cana-1223	1	4	nonlinear	nonlinear	ADJ
cana-1223	1	5	analysis	analysis	NOUN
cana-1223	1	6	issn	issn	NOUN
cana-1223	1	7	:	:	PUNCT
cana-1223	1	8	1074	1074	NUM
cana-1223	1	9	-	-	PUNCT
cana-1223	1	10	133x	133x	NUM
cana-1223	1	11	vol	vol	NOUN
cana-1223	1	12	31	31	NUM
cana-1223	1	13	no	no	NOUN
cana-1223	1	14	.	.	PUNCT
cana-1223	2	1	6s	6s	NUM
cana-1223	2	2	(	(	PUNCT
cana-1223	2	3	2024	2024	NUM
cana-1223	2	4	)	)	PUNCT
cana-1223	2	5	293	293	NUM
cana-1223	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1223	2	7	a	a	DET
cana-1223	2	8	multi	multi	ADJ
cana-1223	2	9	-	-	ADJ
cana-1223	2	10	view	view	ADJ
cana-1223	2	11	deep	deep	ADJ
cana-1223	2	12	learning	learning	NOUN
cana-1223	2	13	approach	approach	NOUN
cana-1223	2	14	for	for	ADP
cana-1223	2	15	enhanced	enhanced	ADJ
cana-1223	2	16	student	student	NOUN
cana-1223	2	17	academic	academic	ADJ
cana-1223	2	18	performance	performance	NOUN
cana-1223	2	19	prediction	prediction	NOUN
cana-1223	2	20	mrs.v.bakyalakshmi1	mrs.v.bakyalakshmi1	PROPN
cana-1223	2	21	,	,	PUNCT
cana-1223	2	22	dr.s.kanchana2	dr.s.kanchana2	PROPN
cana-1223	2	23	1ph.d	1ph.d	NUM
cana-1223	2	24	scholar	scholar	NOUN
cana-1223	2	25	,	,	PUNCT
cana-1223	2	26	department	department	NOUN
cana-1223	2	27	of	of	ADP
cana-1223	2	28	computer	computer	NOUN
cana-1223	2	29	science	science	NOUN
cana-1223	2	30	,	,	PUNCT
cana-1223	2	31	psg	psg	PROPN
cana-1223	2	32	college	college	PROPN
cana-1223	2	33	of	of	ADP
cana-1223	2	34	arts	arts	PROPN
cana-1223	2	35	&	&	CCONJ
cana-1223	2	36	science	science	NOUN
cana-1223	2	37	,	,	PUNCT
cana-1223	2	38	vbakyalakshmi@yahoo.co.in	vbakyalakshmi@yahoo.co.in	NOUN
cana-1223	2	39	.	.	PUNCT
cana-1223	3	1	2associate	2associate	NUM
cana-1223	3	2	professor	professor	NOUN
cana-1223	3	3	,	,	PUNCT
cana-1223	3	4	department	department	NOUN
cana-1223	3	5	of	of	ADP
cana-1223	3	6	software	software	NOUN
cana-1223	3	7	systems	system	NOUN
cana-1223	3	8	,	,	PUNCT
cana-1223	3	9	psg	psg	PROPN
cana-1223	3	10	college	college	PROPN
cana-1223	3	11	of	of	ADP
cana-1223	3	12	arts	arts	PROPN
cana-1223	3	13	&	&	CCONJ
cana-1223	3	14	science	science	PROPN
cana-1223	3	15	,	,	PUNCT
cana-1223	3	16	kanchana@psgcas.ac.in	kanchana@psgcas.ac.in	PROPN
cana-1223	3	17	.	.	PROPN
cana-1223	3	18	article	article	NOUN
cana-1223	3	19	history	history	NOUN
cana-1223	3	20	:	:	PUNCT
cana-1223	3	21	received	receive	VERB
cana-1223	3	22	:	:	PUNCT
cana-1223	3	23	06	06	NUM
cana-1223	3	24	-	-	SYM
cana-1223	3	25	06	06	NUM
cana-1223	3	26	-	-	PUNCT
cana-1223	3	27	2024	2024	NUM
cana-1223	3	28	revised	revise	VERB
cana-1223	3	29	:	:	PUNCT
cana-1223	3	30	08	08	NUM
cana-1223	3	31	-	-	SYM
cana-1223	3	32	07	07	NUM
cana-1223	3	33	-	-	PUNCT
cana-1223	3	34	2024	2024	NUM
cana-1223	3	35	accepted	accept	VERB
cana-1223	3	36	:	:	PUNCT
cana-1223	3	37	28	28	NUM
cana-1223	3	38	-	-	SYM
cana-1223	3	39	07	07	NUM
cana-1223	3	40	-	-	PUNCT
cana-1223	3	41	2024	2024	NUM
cana-1223	3	42	abstract	abstract	NOUN
cana-1223	3	43	:	:	PUNCT
cana-1223	3	44	educational	educational	ADJ
cana-1223	3	45	institutions	institution	NOUN
cana-1223	3	46	are	be	AUX
cana-1223	3	47	utilizing	utilize	VERB
cana-1223	3	48	deep	deep	ADJ
cana-1223	3	49	learning	learning	NOUN
cana-1223	3	50	(	(	PUNCT
cana-1223	3	51	dl	dl	NOUN
cana-1223	3	52	)	)	PUNCT
cana-1223	3	53	techniques	technique	NOUN
cana-1223	3	54	to	to	PART
cana-1223	3	55	develop	develop	VERB
cana-1223	3	56	predictive	predictive	ADJ
cana-1223	3	57	systems	system	NOUN
cana-1223	3	58	that	that	PRON
cana-1223	3	59	identify	identify	VERB
cana-1223	3	60	students	student	NOUN
cana-1223	3	61	at	at	ADP
cana-1223	3	62	risk	risk	NOUN
cana-1223	3	63	of	of	ADP
cana-1223	3	64	underperforming	underperform	VERB
cana-1223	3	65	based	base	VERB
cana-1223	3	66	on	on	ADP
cana-1223	3	67	historical	historical	ADJ
cana-1223	3	68	academic	academic	ADJ
cana-1223	3	69	data	datum	NOUN
cana-1223	3	70	patterns	pattern	NOUN
cana-1223	3	71	,	,	PUNCT
cana-1223	3	72	thereby	thereby	ADV
cana-1223	3	73	enhancing	enhance	VERB
cana-1223	3	74	their	their	PRON
cana-1223	3	75	educational	educational	ADJ
cana-1223	3	76	outcomes	outcome	NOUN
cana-1223	3	77	through	through	ADP
cana-1223	3	78	targeted	target	VERB
cana-1223	3	79	interventions	intervention	NOUN
cana-1223	3	80	.	.	PUNCT
cana-1223	4	1	from	from	ADP
cana-1223	4	2	this	this	DET
cana-1223	4	3	outlook	outlook	NOUN
cana-1223	4	4	,	,	PUNCT
cana-1223	4	5	an	an	DET
cana-1223	4	6	ensemble	ensemble	ADJ
cana-1223	4	7	generative	generative	ADJ
cana-1223	4	8	adversarial	adversarial	ADJ
cana-1223	4	9	network	network	NOUN
cana-1223	4	10	with	with	ADP
cana-1223	4	11	a	a	DET
cana-1223	4	12	student	student	NOUN
cana-1223	4	13	accomplishment	accomplishment	NOUN
cana-1223	4	14	prediction	prediction	NOUN
cana-1223	4	15	using	use	VERB
cana-1223	4	16	the	the	DET
cana-1223	4	17	distinctive	distinctive	ADJ
cana-1223	4	18	dl	dl	X
cana-1223	4	19	(	(	PUNCT
cana-1223	4	20	egan	egan	PROPN
cana-1223	4	21	-	-	PUNCT
cana-1223	4	22	saddl	saddl	NOUN
cana-1223	4	23	)	)	PUNCT
cana-1223	4	24	model	model	NOUN
cana-1223	4	25	was	be	AUX
cana-1223	4	26	designed	design	VERB
cana-1223	4	27	to	to	PART
cana-1223	4	28	generate	generate	VERB
cana-1223	4	29	large	large	ADJ
cana-1223	4	30	-	-	PUNCT
cana-1223	4	31	scale	scale	NOUN
cana-1223	4	32	student	student	NOUN
cana-1223	4	33	data	datum	NOUN
cana-1223	4	34	and	and	CCONJ
cana-1223	4	35	predict	predict	VERB
cana-1223	4	36	their	their	PRON
cana-1223	4	37	academic	academic	ADJ
cana-1223	4	38	achievements	achievement	NOUN
cana-1223	4	39	.	.	PUNCT
cana-1223	5	1	however	however	ADV
cana-1223	5	2	,	,	PUNCT
cana-1223	5	3	integrating	integrate	VERB
cana-1223	5	4	heterogeneous	heterogeneous	ADJ
cana-1223	5	5	kinds	kind	NOUN
cana-1223	5	6	of	of	ADP
cana-1223	5	7	student	student	NOUN
cana-1223	5	8	data	datum	NOUN
cana-1223	5	9	into	into	ADP
cana-1223	5	10	the	the	DET
cana-1223	5	11	saddl	saddl	NOUN
cana-1223	5	12	model	model	NOUN
cana-1223	5	13	is	be	AUX
cana-1223	5	14	a	a	DET
cana-1223	5	15	complex	complex	ADJ
cana-1223	5	16	task	task	NOUN
cana-1223	5	17	that	that	PRON
cana-1223	5	18	,	,	PUNCT
cana-1223	5	19	if	if	SCONJ
cana-1223	5	20	not	not	PART
cana-1223	5	21	executed	execute	VERB
cana-1223	5	22	properly	properly	ADV
cana-1223	5	23	,	,	PUNCT
cana-1223	5	24	may	may	AUX
cana-1223	5	25	result	result	VERB
cana-1223	5	26	in	in	ADP
cana-1223	5	27	the	the	DET
cana-1223	5	28	model	model	NOUN
cana-1223	5	29	failing	fail	VERB
cana-1223	5	30	to	to	PART
cana-1223	5	31	capture	capture	VERB
cana-1223	5	32	crucial	crucial	ADJ
cana-1223	5	33	data	datum	NOUN
cana-1223	5	34	relationships	relationship	NOUN
cana-1223	5	35	,	,	PUNCT
cana-1223	5	36	leading	lead	VERB
cana-1223	5	37	to	to	ADP
cana-1223	5	38	lower	low	ADJ
cana-1223	5	39	performance	performance	NOUN
cana-1223	5	40	.	.	PUNCT
cana-1223	6	1	hence	hence	ADV
cana-1223	6	2	,	,	PUNCT
cana-1223	6	3	this	this	DET
cana-1223	6	4	paper	paper	NOUN
cana-1223	6	5	proposes	propose	VERB
cana-1223	6	6	an	an	DET
cana-1223	6	7	egan	egan	NOUN
cana-1223	6	8	with	with	ADP
cana-1223	6	9	improved	improved	ADJ
cana-1223	6	10	saddl	saddl	NOUN
cana-1223	6	11	(	(	PUNCT
cana-1223	6	12	egan	egan	PROPN
cana-1223	6	13	-	-	PUNCT
cana-1223	6	14	isaddl	isaddl	NOUN
cana-1223	6	15	)	)	PUNCT
cana-1223	6	16	model	model	NOUN
cana-1223	6	17	based	base	VERB
cana-1223	6	18	on	on	ADP
cana-1223	6	19	multi	multi	ADJ
cana-1223	6	20	-	-	ADJ
cana-1223	6	21	view	view	ADJ
cana-1223	6	22	learning	learning	NOUN
cana-1223	6	23	for	for	ADP
cana-1223	6	24	predicting	predict	VERB
cana-1223	6	25	student	student	NOUN
cana-1223	6	26	academic	academic	ADJ
cana-1223	6	27	performance	performance	NOUN
cana-1223	6	28	.	.	PUNCT
cana-1223	7	1	the	the	DET
cana-1223	7	2	main	main	ADJ
cana-1223	7	3	aim	aim	NOUN
cana-1223	7	4	of	of	ADP
cana-1223	7	5	this	this	DET
cana-1223	7	6	model	model	NOUN
cana-1223	7	7	is	be	AUX
cana-1223	7	8	to	to	PART
cana-1223	7	9	learn	learn	VERB
cana-1223	7	10	features	feature	NOUN
cana-1223	7	11	from	from	ADP
cana-1223	7	12	multiple	multiple	ADJ
cana-1223	7	13	sources	source	NOUN
cana-1223	7	14	,	,	PUNCT
cana-1223	7	15	including	include	VERB
cana-1223	7	16	academic	academic	ADJ
cana-1223	7	17	records	record	NOUN
cana-1223	7	18	,	,	PUNCT
cana-1223	7	19	demographic	demographic	ADJ
cana-1223	7	20	information	information	NOUN
cana-1223	7	21	,	,	PUNCT
cana-1223	7	22	and	and	CCONJ
cana-1223	7	23	social	social	ADJ
cana-1223	7	24	media	medium	NOUN
cana-1223	7	25	activity	activity	NOUN
cana-1223	7	26	,	,	PUNCT
cana-1223	7	27	using	use	VERB
cana-1223	7	28	the	the	DET
cana-1223	7	29	multi	multi	ADJ
cana-1223	7	30	-	-	ADJ
cana-1223	7	31	view	view	ADJ
cana-1223	7	32	learning	learning	NOUN
cana-1223	7	33	approach	approach	NOUN
cana-1223	7	34	.	.	PUNCT
cana-1223	8	1	first	first	ADV
cana-1223	8	2	,	,	PUNCT
cana-1223	8	3	the	the	DET
cana-1223	8	4	academic	academic	ADJ
cana-1223	8	5	and	and	CCONJ
cana-1223	8	6	demographic	demographic	ADJ
cana-1223	8	7	attributes	attribute	NOUN
cana-1223	8	8	of	of	ADP
cana-1223	8	9	students	student	NOUN
cana-1223	8	10	are	be	AUX
cana-1223	8	11	collected	collect	VERB
cana-1223	8	12	,	,	PUNCT
cana-1223	8	13	along	along	ADP
cana-1223	8	14	with	with	ADP
cana-1223	8	15	the	the	DET
cana-1223	8	16	physiological	physiological	ADJ
cana-1223	8	17	features	feature	NOUN
cana-1223	8	18	extracted	extract	VERB
cana-1223	8	19	from	from	ADP
cana-1223	8	20	the	the	DET
cana-1223	8	21	information	information	NOUN
cana-1223	8	22	posted	post	VERB
cana-1223	8	23	on	on	ADP
cana-1223	8	24	social	social	ADJ
cana-1223	8	25	media	medium	NOUN
cana-1223	8	26	by	by	ADP
cana-1223	8	27	students	student	NOUN
cana-1223	8	28	.	.	PUNCT
cana-1223	9	1	second	second	ADJ
cana-1223	9	2	,	,	PUNCT
cana-1223	9	3	the	the	DET
cana-1223	9	4	long	long	ADJ
cana-1223	9	5	shortterm	shortterm	NOUN
cana-1223	9	6	memory	memory	NOUN
cana-1223	9	7	with	with	ADP
cana-1223	9	8	deep	deep	ADJ
cana-1223	9	9	convolutional	convolutional	ADJ
cana-1223	9	10	neural	neural	ADJ
cana-1223	9	11	network	network	NOUN
cana-1223	9	12	(	(	PUNCT
cana-1223	9	13	lstm	lstm	PROPN
cana-1223	9	14	-	-	PUNCT
cana-1223	9	15	dcnn	dcnn	ADJ
cana-1223	9	16	)	)	PUNCT
cana-1223	9	17	and	and	CCONJ
cana-1223	9	18	recursive	recursive	ADJ
cana-1223	9	19	neural	neural	ADJ
cana-1223	9	20	network	network	NOUN
cana-1223	9	21	(	(	PUNCT
cana-1223	9	22	renn	renn	PROPN
cana-1223	9	23	)	)	PUNCT
cana-1223	9	24	models	model	NOUN
cana-1223	9	25	receive	receive	VERB
cana-1223	9	26	these	these	DET
cana-1223	9	27	features	feature	NOUN
cana-1223	9	28	in	in	ADP
cana-1223	9	29	parallel	parallel	NOUN
cana-1223	9	30	,	,	PUNCT
cana-1223	9	31	extracting	extract	VERB
cana-1223	9	32	intermediate	intermediate	ADJ
cana-1223	9	33	features	feature	NOUN
cana-1223	9	34	in	in	ADP
cana-1223	9	35	multiple	multiple	ADJ
cana-1223	9	36	views	view	NOUN
cana-1223	9	37	.	.	PUNCT
cana-1223	10	1	third	third	ADJ
cana-1223	10	2	,	,	PUNCT
cana-1223	10	3	a	a	DET
cana-1223	10	4	multi	multi	ADJ
cana-1223	10	5	-	-	ADJ
cana-1223	10	6	view	view	ADJ
cana-1223	10	7	classifier	classifier	NOUN
cana-1223	10	8	jointly	jointly	ADV
cana-1223	10	9	learns	learn	VERB
cana-1223	10	10	each	each	DET
cana-1223	10	11	set	set	NOUN
cana-1223	10	12	of	of	ADP
cana-1223	10	13	features	feature	NOUN
cana-1223	10	14	to	to	PART
cana-1223	10	15	predict	predict	VERB
cana-1223	10	16	students	student	NOUN
cana-1223	10	17	'	'	PART
cana-1223	10	18	academic	academic	ADJ
cana-1223	10	19	performance	performance	NOUN
cana-1223	10	20	,	,	PUNCT
cana-1223	10	21	enabling	enable	VERB
cana-1223	10	22	early	early	ADJ
cana-1223	10	23	identification	identification	NOUN
cana-1223	10	24	of	of	ADP
cana-1223	10	25	at	at	ADP
cana-1223	10	26	-	-	PUNCT
cana-1223	10	27	risk	risk	NOUN
cana-1223	10	28	students	student	NOUN
cana-1223	10	29	with	with	ADP
cana-1223	10	30	high	high	ADJ
cana-1223	10	31	accuracy	accuracy	NOUN
cana-1223	10	32	.	.	PUNCT
cana-1223	11	1	finally	finally	ADV
cana-1223	11	2	,	,	PUNCT
cana-1223	11	3	experiments	experiment	NOUN
cana-1223	11	4	conducted	conduct	VERB
cana-1223	11	5	on	on	ADP
cana-1223	11	6	a	a	DET
cana-1223	11	7	dataset	dataset	NOUN
cana-1223	11	8	of	of	ADP
cana-1223	11	9	50,000	50,000	NUM
cana-1223	11	10	student	student	NOUN
cana-1223	11	11	records	record	NOUN
cana-1223	11	12	demonstrate	demonstrate	VERB
cana-1223	11	13	that	that	SCONJ
cana-1223	11	14	egan	egan	PROPN
cana-1223	11	15	-	-	PUNCT
cana-1223	11	16	isaddl	isaddl	PROPN
cana-1223	11	17	attains	attain	NOUN
cana-1223	11	18	96.28	96.28	NUM
cana-1223	11	19	%	%	NOUN
cana-1223	11	20	accuracy	accuracy	NOUN
cana-1223	11	21	compared	compare	VERB
cana-1223	11	22	to	to	ADP
cana-1223	11	23	the	the	DET
cana-1223	11	24	existing	exist	VERB
cana-1223	11	25	singleview	singleview	NOUN
cana-1223	11	26	learning	learning	NOUN
cana-1223	11	27	models	model	NOUN
cana-1223	11	28	.	.	PUNCT
cana-1223	12	1	keywords	keyword	NOUN
cana-1223	12	2	:	:	PUNCT
cana-1223	12	3	academic	academic	ADJ
cana-1223	12	4	performance	performance	NOUN
cana-1223	12	5	prediction	prediction	NOUN
cana-1223	12	6	,	,	PUNCT
cana-1223	12	7	egan	egan	PROPN
cana-1223	12	8	-	-	PUNCT
cana-1223	12	9	saddl	saddl	ADJ
cana-1223	12	10	,	,	PUNCT
cana-1223	12	11	heterogeneous	heterogeneous	ADJ
cana-1223	12	12	data	datum	NOUN
cana-1223	12	13	,	,	PUNCT
cana-1223	12	14	multi	multi	ADJ
cana-1223	12	15	-	-	ADJ
cana-1223	12	16	view	view	ADJ
cana-1223	12	17	learning	learning	NOUN
cana-1223	12	18	,	,	PUNCT
cana-1223	12	19	recursive	recursive	ADJ
cana-1223	12	20	neural	neural	ADJ
cana-1223	12	21	network	network	NOUN
cana-1223	12	22	.	.	PUNCT
cana-1223	13	1	1	1	X
cana-1223	13	2	.	.	X
cana-1223	14	1	introduction	introduction	NOUN
cana-1223	14	2	evaluating	evaluate	VERB
cana-1223	14	3	learning	learn	VERB
cana-1223	14	4	achievement	achievement	NOUN
cana-1223	14	5	is	be	AUX
cana-1223	14	6	a	a	DET
cana-1223	14	7	pivotal	pivotal	ADJ
cana-1223	14	8	indicator	indicator	NOUN
cana-1223	14	9	of	of	ADP
cana-1223	14	10	academic	academic	ADJ
cana-1223	14	11	accomplishment	accomplishment	NOUN
cana-1223	14	12	,	,	PUNCT
cana-1223	14	13	as	as	SCONJ
cana-1223	14	14	poor	poor	ADJ
cana-1223	14	15	grades	grade	NOUN
cana-1223	14	16	can	can	AUX
cana-1223	14	17	result	result	VERB
cana-1223	14	18	in	in	ADP
cana-1223	14	19	stress	stress	NOUN
cana-1223	14	20	,	,	PUNCT
cana-1223	14	21	despair	despair	NOUN
cana-1223	14	22	,	,	PUNCT
cana-1223	14	23	and	and	CCONJ
cana-1223	14	24	detrimental	detrimental	ADJ
cana-1223	14	25	conduct	conduct	NOUN
cana-1223	14	26	.	.	PUNCT
cana-1223	15	1	students	student	NOUN
cana-1223	15	2	may	may	AUX
cana-1223	15	3	encounter	encounter	VERB
cana-1223	15	4	challenges	challenge	NOUN
cana-1223	15	5	such	such	ADJ
cana-1223	15	6	as	as	ADP
cana-1223	15	7	mental	mental	ADJ
cana-1223	15	8	health	health	NOUN
cana-1223	15	9	disorders	disorder	NOUN
cana-1223	15	10	,	,	PUNCT
cana-1223	15	11	familial	familial	ADJ
cana-1223	15	12	or	or	CCONJ
cana-1223	15	13	societal	societal	ADJ
cana-1223	15	14	difficulties	difficulty	NOUN
cana-1223	15	15	,	,	PUNCT
cana-1223	15	16	or	or	CCONJ
cana-1223	15	17	an	an	DET
cana-1223	15	18	absence	absence	NOUN
cana-1223	15	19	of	of	ADP
cana-1223	15	20	direction	direction	NOUN
cana-1223	15	21	,	,	PUNCT
cana-1223	15	22	all	all	PRON
cana-1223	15	23	of	of	ADP
cana-1223	15	24	which	which	PRON
cana-1223	15	25	might	might	AUX
cana-1223	15	26	result	result	VERB
cana-1223	15	27	in	in	ADP
cana-1223	15	28	their	their	PRON
cana-1223	15	29	absence	absence	NOUN
cana-1223	15	30	from	from	ADP
cana-1223	15	31	classes	class	NOUN
cana-1223	15	32	[	[	X
cana-1223	15	33	1	1	NUM
cana-1223	15	34	]	]	PUNCT
cana-1223	15	35	.	.	PUNCT
cana-1223	16	1	as	as	ADP
cana-1223	16	2	a	a	DET
cana-1223	16	3	result	result	NOUN
cana-1223	16	4	,	,	PUNCT
cana-1223	16	5	their	their	PRON
cana-1223	16	6	academic	academic	ADJ
cana-1223	16	7	progress	progress	NOUN
cana-1223	16	8	is	be	AUX
cana-1223	16	9	in	in	ADP
cana-1223	16	10	jeopardy	jeopardy	NOUN
cana-1223	16	11	,	,	PUNCT
cana-1223	16	12	and	and	CCONJ
cana-1223	16	13	educational	educational	ADJ
cana-1223	16	14	institutions	institution	NOUN
cana-1223	16	15	must	must	AUX
cana-1223	16	16	promptly	promptly	ADV
cana-1223	16	17	discover	discover	VERB
cana-1223	16	18	and	and	CCONJ
cana-1223	16	19	intervene	intervene	VERB
cana-1223	16	20	.	.	PUNCT
cana-1223	17	1	educational	educational	ADJ
cana-1223	17	2	data	datum	NOUN
cana-1223	17	3	mining	mining	NOUN
cana-1223	17	4	(	(	PUNCT
cana-1223	17	5	edm	edm	PROPN
cana-1223	17	6	)	)	PUNCT
cana-1223	17	7	is	be	AUX
cana-1223	17	8	a	a	DET
cana-1223	17	9	significant	significant	ADJ
cana-1223	17	10	area	area	NOUN
cana-1223	17	11	of	of	ADP
cana-1223	17	12	research	research	NOUN
cana-1223	17	13	that	that	PRON
cana-1223	17	14	focuses	focus	VERB
cana-1223	17	15	on	on	ADP
cana-1223	17	16	forecasting	forecast	VERB
cana-1223	17	17	students	student	NOUN
cana-1223	17	18	'	'	PART
cana-1223	17	19	academic	academic	ADJ
cana-1223	17	20	performance	performance	NOUN
cana-1223	17	21	and	and	CCONJ
cana-1223	17	22	mitigating	mitigate	VERB
cana-1223	17	23	undesirable	undesirable	ADJ
cana-1223	17	24	effects	effect	NOUN
cana-1223	17	25	such	such	ADJ
cana-1223	17	26	as	as	ADP
cana-1223	17	27	poor	poor	ADJ
cana-1223	17	28	grades	grade	NOUN
cana-1223	17	29	or	or	CCONJ
cana-1223	17	30	student	student	NOUN
cana-1223	17	31	attrition	attrition	NOUN
cana-1223	17	32	[	[	X
cana-1223	17	33	2	2	NUM
cana-1223	17	34	]	]	PUNCT
cana-1223	17	35	.	.	PUNCT
cana-1223	18	1	early	early	ADJ
cana-1223	18	2	identification	identification	NOUN
cana-1223	18	3	of	of	ADP
cana-1223	18	4	learners	learner	NOUN
cana-1223	18	5	with	with	ADP
cana-1223	18	6	lower	low	ADJ
cana-1223	18	7	grades	grade	NOUN
cana-1223	18	8	enables	enable	VERB
cana-1223	18	9	investigation	investigation	NOUN
cana-1223	18	10	to	to	PART
cana-1223	18	11	enhance	enhance	VERB
cana-1223	18	12	their	their	PRON
cana-1223	18	13	academic	academic	ADJ
cana-1223	18	14	performance	performance	NOUN
cana-1223	18	15	and	and	CCONJ
cana-1223	18	16	assure	assure	VERB
cana-1223	18	17	their	their	PRON
cana-1223	18	18	success	success	NOUN
cana-1223	18	19	.	.	PUNCT
cana-1223	19	1	this	this	PRON
cana-1223	19	2	is	be	AUX
cana-1223	19	3	particularly	particularly	ADV
cana-1223	19	4	well	well	ADV
cana-1223	19	5	-	-	PUNCT
cana-1223	19	6	suited	suit	VERB
cana-1223	19	7	for	for	ADP
cana-1223	19	8	high	high	ADJ
cana-1223	19	9	school	school	NOUN
cana-1223	19	10	and	and	CCONJ
cana-1223	19	11	college	college	NOUN
cana-1223	19	12	students	student	NOUN
cana-1223	19	13	[	[	X
cana-1223	19	14	3	3	NUM
cana-1223	19	15	]	]	PUNCT
cana-1223	19	16	.	.	PUNCT
cana-1223	20	1	high	high	ADJ
cana-1223	20	2	school	school	NOUN
cana-1223	20	3	kids	kid	NOUN
cana-1223	20	4	,	,	PUNCT
cana-1223	20	5	specifically	specifically	ADV
cana-1223	20	6	,	,	PUNCT
cana-1223	20	7	are	be	AUX
cana-1223	20	8	an	an	DET
cana-1223	20	9	optimal	optimal	ADJ
cana-1223	20	10	demographic	demographic	ADJ
cana-1223	20	11	to	to	PART
cana-1223	20	12	focus	focus	VERB
cana-1223	20	13	on	on	ADP
cana-1223	20	14	due	due	ADP
cana-1223	20	15	to	to	ADP
cana-1223	20	16	the	the	DET
cana-1223	20	17	significant	significant	ADJ
cana-1223	20	18	influence	influence	NOUN
cana-1223	20	19	their	their	PRON
cana-1223	20	20	academic	academic	ADJ
cana-1223	20	21	achievements	achievement	NOUN
cana-1223	20	22	communications	communication	NOUN
cana-1223	20	23	on	on	ADP
cana-1223	20	24	applied	apply	VERB
cana-1223	20	25	nonlinear	nonlinear	ADJ
cana-1223	20	26	analysis	analysis	NOUN
cana-1223	20	27	issn	issn	NOUN
cana-1223	20	28	:	:	PUNCT
cana-1223	20	29	1074	1074	NUM
cana-1223	20	30	-	-	PUNCT
cana-1223	20	31	133x	133x	NUM
cana-1223	20	32	vol	vol	NOUN
cana-1223	20	33	31	31	NUM
cana-1223	20	34	no	no	NOUN
cana-1223	20	35	.	.	PUNCT
cana-1223	21	1	6s	6s	NUM
cana-1223	21	2	(	(	PUNCT
cana-1223	21	3	2024	2024	NUM
cana-1223	21	4	)	)	PUNCT
cana-1223	21	5	294	294	NUM
cana-1223	21	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1223	21	7	have	have	VERB
cana-1223	21	8	on	on	ADP
cana-1223	21	9	their	their	PRON
cana-1223	21	10	future	future	ADJ
cana-1223	21	11	educational	educational	ADJ
cana-1223	21	12	opportunities	opportunity	NOUN
cana-1223	21	13	.	.	PUNCT
cana-1223	22	1	through	through	ADP
cana-1223	22	2	the	the	DET
cana-1223	22	3	examination	examination	NOUN
cana-1223	22	4	of	of	ADP
cana-1223	22	5	a	a	DET
cana-1223	22	6	dataset	dataset	NOUN
cana-1223	22	7	containing	contain	VERB
cana-1223	22	8	socioeconomic	socioeconomic	ADJ
cana-1223	22	9	and	and	CCONJ
cana-1223	22	10	educational	educational	ADJ
cana-1223	22	11	data	datum	NOUN
cana-1223	22	12	of	of	ADP
cana-1223	22	13	high	high	ADJ
cana-1223	22	14	school	school	NOUN
cana-1223	22	15	students	student	NOUN
cana-1223	22	16	,	,	PUNCT
cana-1223	22	17	it	it	PRON
cana-1223	22	18	is	be	AUX
cana-1223	22	19	feasible	feasible	ADJ
cana-1223	22	20	to	to	PART
cana-1223	22	21	discern	discern	ADJ
cana-1223	22	22	pupils	pupil	NOUN
cana-1223	22	23	who	who	PRON
cana-1223	22	24	exhibit	exhibit	VERB
cana-1223	22	25	subpar	subpar	ADJ
cana-1223	22	26	academic	academic	ADJ
cana-1223	22	27	performance	performance	NOUN
cana-1223	22	28	[	[	X
cana-1223	22	29	4	4	NUM
cana-1223	22	30	]	]	PUNCT
cana-1223	22	31	.	.	PUNCT
cana-1223	23	1	developing	develop	VERB
cana-1223	23	2	precise	precise	ADJ
cana-1223	23	3	criteria	criterion	NOUN
cana-1223	23	4	can	can	AUX
cana-1223	23	5	aid	aid	VERB
cana-1223	23	6	in	in	ADP
cana-1223	23	7	identifying	identify	VERB
cana-1223	23	8	students	student	NOUN
cana-1223	23	9	who	who	PRON
cana-1223	23	10	are	be	AUX
cana-1223	23	11	likely	likely	ADJ
cana-1223	23	12	to	to	PART
cana-1223	23	13	fail	fail	VERB
cana-1223	23	14	in	in	ADP
cana-1223	23	15	the	the	DET
cana-1223	23	16	final	final	ADJ
cana-1223	23	17	semester	semester	NOUN
cana-1223	23	18	.	.	PUNCT
cana-1223	24	1	assessing	assess	VERB
cana-1223	24	2	all	all	DET
cana-1223	24	3	students	student	NOUN
cana-1223	24	4	'	'	PART
cana-1223	24	5	academic	academic	ADJ
cana-1223	24	6	performance	performance	NOUN
cana-1223	24	7	is	be	AUX
cana-1223	24	8	difficult	difficult	ADJ
cana-1223	24	9	for	for	ADP
cana-1223	24	10	teachers	teacher	NOUN
cana-1223	24	11	and	and	CCONJ
cana-1223	24	12	educational	educational	ADJ
cana-1223	24	13	institutions	institution	NOUN
cana-1223	24	14	due	due	ADP
cana-1223	24	15	to	to	ADP
cana-1223	24	16	the	the	DET
cana-1223	24	17	large	large	ADJ
cana-1223	24	18	number	number	NOUN
cana-1223	24	19	of	of	ADP
cana-1223	24	20	students	student	NOUN
cana-1223	24	21	and	and	CCONJ
cana-1223	24	22	limited	limited	ADJ
cana-1223	24	23	resources	resource	NOUN
cana-1223	24	24	.	.	PUNCT
cana-1223	25	1	many	many	ADJ
cana-1223	25	2	experts	expert	NOUN
cana-1223	25	3	in	in	ADP
cana-1223	25	4	the	the	DET
cana-1223	25	5	field	field	NOUN
cana-1223	25	6	have	have	AUX
cana-1223	25	7	suggested	suggest	VERB
cana-1223	25	8	different	different	ADJ
cana-1223	25	9	machine	machine	NOUN
cana-1223	25	10	learning	learning	NOUN
cana-1223	25	11	(	(	PUNCT
cana-1223	25	12	ml	ml	NOUN
cana-1223	25	13	)	)	PUNCT
cana-1223	25	14	algorithms	algorithm	NOUN
cana-1223	25	15	as	as	ADP
cana-1223	25	16	a	a	DET
cana-1223	25	17	potential	potential	ADJ
cana-1223	25	18	solution	solution	NOUN
cana-1223	25	19	to	to	ADP
cana-1223	25	20	this	this	DET
cana-1223	25	21	issue	issue	NOUN
cana-1223	25	22	[	[	X
cana-1223	25	23	5	5	NUM
cana-1223	25	24	]	]	PUNCT
cana-1223	25	25	.	.	PUNCT
cana-1223	26	1	various	various	ADJ
cana-1223	26	2	domains	domain	NOUN
cana-1223	26	3	have	have	AUX
cana-1223	26	4	extensively	extensively	ADV
cana-1223	26	5	utilized	utilize	VERB
cana-1223	26	6	these	these	DET
cana-1223	26	7	algorithms	algorithm	NOUN
cana-1223	26	8	,	,	PUNCT
cana-1223	26	9	such	such	ADJ
cana-1223	26	10	as	as	ADP
cana-1223	26	11	identifying	identify	VERB
cana-1223	26	12	at	at	ADP
cana-1223	26	13	-	-	PUNCT
cana-1223	26	14	risk	risk	NOUN
cana-1223	26	15	students	student	NOUN
cana-1223	26	16	,	,	PUNCT
cana-1223	26	17	predicting	predict	VERB
cana-1223	26	18	final	final	ADJ
cana-1223	26	19	exam	exam	NOUN
cana-1223	26	20	scores	score	NOUN
cana-1223	26	21	,	,	PUNCT
cana-1223	26	22	forecasting	forecast	VERB
cana-1223	26	23	placement	placement	NOUN
cana-1223	26	24	rates	rate	NOUN
cana-1223	26	25	,	,	PUNCT
cana-1223	26	26	and	and	CCONJ
cana-1223	26	27	detecting	detect	VERB
cana-1223	26	28	early	early	ADJ
cana-1223	26	29	failures	failure	NOUN
cana-1223	26	30	[	[	X
cana-1223	26	31	6	6	NUM
cana-1223	26	32	]	]	PUNCT
cana-1223	26	33	.	.	PUNCT
cana-1223	27	1	as	as	ADP
cana-1223	27	2	a	a	DET
cana-1223	27	3	result	result	NOUN
cana-1223	27	4	,	,	PUNCT
cana-1223	27	5	the	the	DET
cana-1223	27	6	research	research	NOUN
cana-1223	27	7	community	community	NOUN
cana-1223	27	8	has	have	AUX
cana-1223	27	9	focused	focus	VERB
cana-1223	27	10	a	a	DET
cana-1223	27	11	lot	lot	NOUN
cana-1223	27	12	of	of	ADP
cana-1223	27	13	effort	effort	NOUN
cana-1223	27	14	on	on	ADP
cana-1223	27	15	identifying	identify	VERB
cana-1223	27	16	and	and	CCONJ
cana-1223	27	17	effectively	effectively	ADV
cana-1223	27	18	addressing	address	VERB
cana-1223	27	19	students	student	NOUN
cana-1223	27	20	who	who	PRON
cana-1223	27	21	are	be	AUX
cana-1223	27	22	at	at	ADP
cana-1223	27	23	risk	risk	NOUN
cana-1223	27	24	[	[	X
cana-1223	27	25	7	7	NUM
cana-1223	27	26	]	]	PUNCT
cana-1223	27	27	.	.	PUNCT
cana-1223	28	1	however	however	ADV
cana-1223	28	2	,	,	PUNCT
cana-1223	28	3	the	the	DET
cana-1223	28	4	accuracy	accuracy	NOUN
cana-1223	28	5	of	of	ADP
cana-1223	28	6	early	early	ADJ
cana-1223	28	7	student	student	NOUN
cana-1223	28	8	risk	risk	NOUN
cana-1223	28	9	prediction	prediction	NOUN
cana-1223	28	10	heavily	heavily	ADV
cana-1223	28	11	depends	depend	VERB
cana-1223	28	12	on	on	ADP
cana-1223	28	13	the	the	DET
cana-1223	28	14	dataset	dataset	NOUN
cana-1223	28	15	's	's	PART
cana-1223	28	16	characteristics	characteristic	NOUN
cana-1223	28	17	,	,	PUNCT
cana-1223	28	18	which	which	PRON
cana-1223	28	19	are	be	AUX
cana-1223	28	20	meticulously	meticulously	ADV
cana-1223	28	21	annotated	annotate	VERB
cana-1223	28	22	with	with	ADP
cana-1223	28	23	expert	expert	ADJ
cana-1223	28	24	knowledge	knowledge	NOUN
cana-1223	28	25	.	.	PUNCT
cana-1223	29	1	these	these	DET
cana-1223	29	2	features	feature	NOUN
cana-1223	29	3	are	be	AUX
cana-1223	29	4	complex	complex	ADJ
cana-1223	29	5	and	and	CCONJ
cana-1223	29	6	varied	varied	ADJ
cana-1223	29	7	,	,	PUNCT
cana-1223	29	8	which	which	PRON
cana-1223	29	9	presents	present	VERB
cana-1223	29	10	a	a	DET
cana-1223	29	11	significant	significant	ADJ
cana-1223	29	12	difficulty	difficulty	NOUN
cana-1223	29	13	in	in	ADP
cana-1223	29	14	extracting	extract	VERB
cana-1223	29	15	attributes	attribute	NOUN
cana-1223	29	16	of	of	ADP
cana-1223	29	17	high	high	ADJ
cana-1223	29	18	quality	quality	NOUN
cana-1223	29	19	while	while	SCONJ
cana-1223	29	20	managing	manage	VERB
cana-1223	29	21	several	several	ADJ
cana-1223	29	22	data	datum	NOUN
cana-1223	29	23	formats	format	NOUN
cana-1223	29	24	and	and	CCONJ
cana-1223	29	25	a	a	DET
cana-1223	29	26	substantial	substantial	ADJ
cana-1223	29	27	amount	amount	NOUN
cana-1223	29	28	of	of	ADP
cana-1223	29	29	data	datum	NOUN
cana-1223	29	30	.	.	PUNCT
cana-1223	30	1	to	to	PART
cana-1223	30	2	effectively	effectively	ADV
cana-1223	30	3	predict	predict	VERB
cana-1223	30	4	learners	learner	NOUN
cana-1223	30	5	'	'	PART
cana-1223	30	6	achievements	achievement	NOUN
cana-1223	30	7	,	,	PUNCT
cana-1223	30	8	it	it	PRON
cana-1223	30	9	is	be	AUX
cana-1223	30	10	essential	essential	ADJ
cana-1223	30	11	to	to	PART
cana-1223	30	12	investigate	investigate	VERB
cana-1223	30	13	their	their	PRON
cana-1223	30	14	mental	mental	ADJ
cana-1223	30	15	health	health	NOUN
cana-1223	30	16	traits	trait	NOUN
cana-1223	30	17	in	in	ADP
cana-1223	30	18	addition	addition	NOUN
cana-1223	30	19	to	to	ADP
cana-1223	30	20	commonly	commonly	ADV
cana-1223	30	21	studied	study	VERB
cana-1223	30	22	aspects	aspect	NOUN
cana-1223	30	23	such	such	ADJ
cana-1223	30	24	as	as	ADP
cana-1223	30	25	personal	personal	ADJ
cana-1223	30	26	,	,	PUNCT
cana-1223	30	27	academic	academic	ADJ
cana-1223	30	28	,	,	PUNCT
cana-1223	30	29	and	and	CCONJ
cana-1223	30	30	economic	economic	ADJ
cana-1223	30	31	issues	issue	NOUN
cana-1223	30	32	.	.	PUNCT
cana-1223	31	1	as	as	ADP
cana-1223	31	2	a	a	DET
cana-1223	31	3	result	result	NOUN
cana-1223	31	4	,	,	PUNCT
cana-1223	31	5	the	the	DET
cana-1223	31	6	saddl	saddl	ADJ
cana-1223	31	7	algorithm	algorithm	NOUN
cana-1223	31	8	has	have	AUX
cana-1223	31	9	been	be	AUX
cana-1223	31	10	developed	develop	VERB
cana-1223	31	11	[	[	PUNCT
cana-1223	31	12	8	8	NUM
cana-1223	31	13	]	]	PUNCT
cana-1223	31	14	,	,	PUNCT
cana-1223	31	15	which	which	PRON
cana-1223	31	16	utilizes	utilize	VERB
cana-1223	31	17	a	a	DET
cana-1223	31	18	range	range	NOUN
cana-1223	31	19	of	of	ADP
cana-1223	31	20	student	student	NOUN
cana-1223	31	21	variables	variable	NOUN
cana-1223	31	22	,	,	PUNCT
cana-1223	31	23	encompassing	encompass	VERB
cana-1223	31	24	physiological	physiological	ADJ
cana-1223	31	25	,	,	PUNCT
cana-1223	31	26	demographic	demographic	ADJ
cana-1223	31	27	,	,	PUNCT
cana-1223	31	28	and	and	CCONJ
cana-1223	31	29	academic	academic	ADJ
cana-1223	31	30	factors	factor	NOUN
cana-1223	31	31	.	.	PUNCT
cana-1223	32	1	information	information	NOUN
cana-1223	32	2	is	be	AUX
cana-1223	32	3	gathered	gather	VERB
cana-1223	32	4	from	from	ADP
cana-1223	32	5	the	the	DET
cana-1223	32	6	api	api	NOUN
cana-1223	32	7	services	service	NOUN
cana-1223	32	8	of	of	ADP
cana-1223	32	9	twitter	twitter	NOUN
cana-1223	32	10	,	,	PUNCT
cana-1223	32	11	facebook	facebook	NOUN
cana-1223	32	12	,	,	PUNCT
cana-1223	32	13	and	and	CCONJ
cana-1223	32	14	instagram	instagram	PROPN
cana-1223	32	15	and	and	CCONJ
cana-1223	32	16	then	then	ADV
cana-1223	32	17	subjected	subject	VERB
cana-1223	32	18	to	to	ADP
cana-1223	32	19	pre	pre	ADJ
cana-1223	32	20	-	-	ADJ
cana-1223	32	21	processing	processing	ADJ
cana-1223	32	22	utilizing	utilize	VERB
cana-1223	32	23	natural	natural	ADJ
cana-1223	32	24	language	language	NOUN
cana-1223	32	25	processing	processing	NOUN
cana-1223	32	26	(	(	PUNCT
cana-1223	32	27	nlp	nlp	NOUN
cana-1223	32	28	)	)	PUNCT
cana-1223	32	29	techniques	technique	NOUN
cana-1223	32	30	.	.	PUNCT
cana-1223	33	1	the	the	DET
cana-1223	33	2	linguistic	linguistic	ADJ
cana-1223	33	3	inquiry	inquiry	NOUN
cana-1223	33	4	and	and	CCONJ
cana-1223	33	5	word	word	NOUN
cana-1223	33	6	count	count	NOUN
cana-1223	33	7	(	(	PUNCT
cana-1223	33	8	liwc	liwc	PROPN
cana-1223	33	9	)	)	PUNCT
cana-1223	33	10	and	and	CCONJ
cana-1223	33	11	latent	latent	PROPN
cana-1223	33	12	dirichlet	dirichlet	PROPN
cana-1223	33	13	allocation	allocation	NOUN
cana-1223	33	14	(	(	PUNCT
cana-1223	33	15	lda	lda	PROPN
cana-1223	33	16	)	)	PUNCT
cana-1223	33	17	methods	method	NOUN
cana-1223	33	18	are	be	AUX
cana-1223	33	19	employed	employ	VERB
cana-1223	33	20	to	to	PART
cana-1223	33	21	extract	extract	VERB
cana-1223	33	22	features	feature	NOUN
cana-1223	33	23	about	about	ADP
cana-1223	33	24	mental	mental	ADJ
cana-1223	33	25	health	health	NOUN
cana-1223	33	26	and	and	CCONJ
cana-1223	33	27	changes	change	NOUN
cana-1223	33	28	in	in	ADP
cana-1223	33	29	attitudes	attitude	NOUN
cana-1223	33	30	.	.	PUNCT
cana-1223	34	1	the	the	DET
cana-1223	34	2	lstm	lstm	PROPN
cana-1223	34	3	,	,	PUNCT
cana-1223	34	4	dcnn	dcnn	ADJ
cana-1223	34	5	,	,	PUNCT
cana-1223	34	6	and	and	CCONJ
cana-1223	34	7	multi	multi	ADJ
cana-1223	34	8	-	-	ADJ
cana-1223	34	9	layer	layer	ADJ
cana-1223	34	10	perceptron	perceptron	NOUN
cana-1223	34	11	(	(	PUNCT
cana-1223	34	12	mlp	mlp	NOUN
cana-1223	34	13	)	)	PUNCT
cana-1223	34	14	algorithms	algorithm	NOUN
cana-1223	34	15	combine	combine	VERB
cana-1223	34	16	attributes	attribute	NOUN
cana-1223	34	17	with	with	ADP
cana-1223	34	18	common	common	ADJ
cana-1223	34	19	properties	property	NOUN
cana-1223	34	20	to	to	PART
cana-1223	34	21	provide	provide	VERB
cana-1223	34	22	the	the	DET
cana-1223	34	23	ddl	ddl	PROPN
cana-1223	34	24	.	.	PUNCT
cana-1223	35	1	the	the	DET
cana-1223	35	2	lstm	lstm	PROPN
cana-1223	35	3	model	model	NOUN
cana-1223	35	4	captures	capture	VERB
cana-1223	35	5	temporal	temporal	ADJ
cana-1223	35	6	patterns	pattern	NOUN
cana-1223	35	7	in	in	ADP
cana-1223	35	8	the	the	DET
cana-1223	35	9	time	time	NOUN
cana-1223	35	10	-	-	PUNCT
cana-1223	35	11	series	series	NOUN
cana-1223	35	12	data	datum	NOUN
cana-1223	35	13	and	and	CCONJ
cana-1223	35	14	converts	convert	VERB
cana-1223	35	15	them	they	PRON
cana-1223	35	16	into	into	ADP
cana-1223	35	17	a	a	DET
cana-1223	35	18	tensor	tensor	NOUN
cana-1223	35	19	of	of	ADP
cana-1223	35	20	features	feature	NOUN
cana-1223	35	21	.	.	PUNCT
cana-1223	36	1	this	this	DET
cana-1223	36	2	tensor	tensor	NOUN
cana-1223	36	3	is	be	AUX
cana-1223	36	4	then	then	ADV
cana-1223	36	5	fed	feed	VERB
cana-1223	36	6	into	into	ADP
cana-1223	36	7	the	the	DET
cana-1223	36	8	multidimensional	multidimensional	ADJ
cana-1223	36	9	dcnn	dcnn	PROPN
cana-1223	36	10	to	to	PART
cana-1223	36	11	analyze	analyze	VERB
cana-1223	36	12	the	the	DET
cana-1223	36	13	correlations	correlation	NOUN
cana-1223	36	14	between	between	ADP
cana-1223	36	15	these	these	DET
cana-1223	36	16	properties	property	NOUN
cana-1223	36	17	.	.	PUNCT
cana-1223	37	1	the	the	DET
cana-1223	37	2	temporal	temporal	ADJ
cana-1223	37	3	,	,	PUNCT
cana-1223	37	4	correlation	correlation	NOUN
cana-1223	37	5	,	,	PUNCT
cana-1223	37	6	and	and	CCONJ
cana-1223	37	7	student	student	NOUN
cana-1223	37	8	demographic	demographic	ADJ
cana-1223	37	9	information	information	NOUN
cana-1223	37	10	are	be	AUX
cana-1223	37	11	combined	combine	VERB
cana-1223	37	12	to	to	PART
cana-1223	37	13	form	form	VERB
cana-1223	37	14	a	a	DET
cana-1223	37	15	cohesive	cohesive	ADJ
cana-1223	37	16	attribute	attribute	NOUN
cana-1223	37	17	vector	vector	NOUN
cana-1223	37	18	.	.	PUNCT
cana-1223	38	1	furthermore	furthermore	ADV
cana-1223	38	2	,	,	PUNCT
cana-1223	38	3	the	the	DET
cana-1223	38	4	mlp	mlp	NOUN
cana-1223	38	5	classifier	classifier	NOUN
cana-1223	38	6	accurately	accurately	ADV
cana-1223	38	7	forecasts	forecast	VERB
cana-1223	38	8	students	student	NOUN
cana-1223	38	9	'	'	PART
cana-1223	38	10	academic	academic	ADJ
cana-1223	38	11	achievement	achievement	NOUN
cana-1223	38	12	.	.	PUNCT
cana-1223	39	1	however	however	ADV
cana-1223	39	2	,	,	PUNCT
cana-1223	39	3	the	the	DET
cana-1223	39	4	accuracy	accuracy	NOUN
cana-1223	39	5	of	of	ADP
cana-1223	39	6	predicting	predict	VERB
cana-1223	39	7	student	student	NOUN
cana-1223	39	8	achievement	achievement	NOUN
cana-1223	39	9	is	be	AUX
cana-1223	39	10	still	still	ADV
cana-1223	39	11	limited	limited	ADJ
cana-1223	39	12	because	because	SCONJ
cana-1223	39	13	there	there	PRON
cana-1223	39	14	is	be	VERB
cana-1223	39	15	not	not	PART
cana-1223	39	16	enough	enough	ADJ
cana-1223	39	17	data	datum	NOUN
cana-1223	39	18	available	available	ADJ
cana-1223	39	19	on	on	ADP
cana-1223	39	20	students	student	NOUN
cana-1223	39	21	.	.	PUNCT
cana-1223	40	1	collecting	collect	VERB
cana-1223	40	2	further	further	ADJ
cana-1223	40	3	data	datum	NOUN
cana-1223	40	4	proved	prove	VERB
cana-1223	40	5	to	to	PART
cana-1223	40	6	be	be	AUX
cana-1223	40	7	a	a	DET
cana-1223	40	8	laborious	laborious	ADJ
cana-1223	40	9	and	and	CCONJ
cana-1223	40	10	monotonous	monotonous	ADJ
cana-1223	40	11	undertaking	undertaking	NOUN
cana-1223	40	12	.	.	PUNCT
cana-1223	41	1	to	to	PART
cana-1223	41	2	combat	combat	VERB
cana-1223	41	3	this	this	DET
cana-1223	41	4	challenge	challenge	NOUN
cana-1223	41	5	,	,	PUNCT
cana-1223	41	6	the	the	DET
cana-1223	41	7	egan	egan	PROPN
cana-1223	41	8	-	-	PUNCT
cana-1223	41	9	saddl	saddl	ADJ
cana-1223	41	10	model	model	NOUN
cana-1223	42	1	[	[	X
cana-1223	42	2	9	9	NUM
cana-1223	42	3	]	]	PUNCT
cana-1223	42	4	has	have	AUX
cana-1223	42	5	been	be	AUX
cana-1223	42	6	developed	develop	VERB
cana-1223	42	7	to	to	PART
cana-1223	42	8	forecast	forecast	VERB
cana-1223	42	9	student	student	NOUN
cana-1223	42	10	performance	performance	NOUN
cana-1223	42	11	.	.	PUNCT
cana-1223	43	1	the	the	DET
cana-1223	43	2	egan	egan	PROPN
cana-1223	43	3	comprises	comprise	VERB
cana-1223	43	4	two	two	NUM
cana-1223	43	5	types	type	NOUN
cana-1223	43	6	of	of	ADP
cana-1223	43	7	gans	gan	NOUN
cana-1223	43	8	:	:	PUNCT
cana-1223	43	9	divergence	divergence	ADJ
cana-1223	43	10	gan	gan	PROPN
cana-1223	43	11	(	(	PUNCT
cana-1223	43	12	divgan	divgan	PROPN
cana-1223	43	13	)	)	PUNCT
cana-1223	43	14	minimizes	minimize	VERB
cana-1223	43	15	the	the	DET
cana-1223	43	16	gap	gap	NOUN
cana-1223	43	17	between	between	ADP
cana-1223	43	18	latent	latent	NOUN
cana-1223	43	19	elements	element	NOUN
cana-1223	43	20	and	and	CCONJ
cana-1223	43	21	observed	observed	ADJ
cana-1223	43	22	data	datum	NOUN
cana-1223	43	23	,	,	PUNCT
cana-1223	43	24	while	while	SCONJ
cana-1223	43	25	success	success	NOUN
cana-1223	43	26	-	-	PUNCT
cana-1223	43	27	aware	aware	ADJ
cana-1223	43	28	gan	gan	NOUN
cana-1223	43	29	(	(	PUNCT
cana-1223	43	30	suc	suc	PROPN
cana-1223	43	31	-	-	PUNCT
cana-1223	43	32	gan	gin	VERB
cana-1223	43	33	)	)	PUNCT
cana-1223	43	34	decreases	decrease	VERB
cana-1223	43	35	the	the	DET
cana-1223	43	36	imbalance	imbalance	NOUN
cana-1223	43	37	between	between	ADP
cana-1223	43	38	raw	raw	ADJ
cana-1223	43	39	and	and	CCONJ
cana-1223	43	40	synthetic	synthetic	ADJ
cana-1223	43	41	data	datum	NOUN
cana-1223	43	42	using	use	VERB
cana-1223	43	43	gumbel	gumbel	NOUN
cana-1223	43	44	-	-	PUNCT
cana-1223	43	45	softmax	softmax	NOUN
cana-1223	43	46	relaxation	relaxation	NOUN
cana-1223	43	47	(	(	PUNCT
cana-1223	43	48	gsr	gsr	NOUN
cana-1223	43	49	)	)	PUNCT
cana-1223	43	50	.	.	PUNCT
cana-1223	44	1	tuna	tuna	NOUN
cana-1223	44	2	swarm	swarm	NOUN
cana-1223	44	3	optimization	optimization	NOUN
cana-1223	44	4	(	(	PUNCT
cana-1223	44	5	tso	tso	PROPN
cana-1223	44	6	)	)	PUNCT
cana-1223	44	7	stabilizes	stabilize	VERB
cana-1223	44	8	learning	learning	NOUN
cana-1223	44	9	of	of	ADP
cana-1223	44	10	the	the	DET
cana-1223	44	11	egan	egan	PROPN
cana-1223	44	12	,	,	PUNCT
cana-1223	44	13	which	which	PRON
cana-1223	44	14	balances	balance	VERB
cana-1223	44	15	data	datum	NOUN
cana-1223	44	16	quality	quality	NOUN
cana-1223	44	17	and	and	CCONJ
cana-1223	44	18	diversity	diversity	NOUN
cana-1223	44	19	.	.	PUNCT
cana-1223	45	1	the	the	DET
cana-1223	45	2	generated	generate	VERB
cana-1223	45	3	student	student	NOUN
cana-1223	45	4	data	datum	NOUN
cana-1223	45	5	is	be	AUX
cana-1223	45	6	input	input	VERB
cana-1223	45	7	into	into	ADP
cana-1223	45	8	the	the	DET
cana-1223	45	9	saddl	saddl	NOUN
cana-1223	45	10	model	model	NOUN
cana-1223	45	11	for	for	ADP
cana-1223	45	12	predicting	predict	VERB
cana-1223	45	13	student	student	NOUN
cana-1223	45	14	achievement	achievement	NOUN
cana-1223	45	15	.	.	PUNCT
cana-1223	46	1	conversely	conversely	ADV
cana-1223	46	2	,	,	PUNCT
cana-1223	46	3	the	the	DET
cana-1223	46	4	diverse	diverse	ADJ
cana-1223	46	5	nature	nature	NOUN
cana-1223	46	6	of	of	ADP
cana-1223	46	7	input	input	NOUN
cana-1223	46	8	data	datum	NOUN
cana-1223	46	9	,	,	PUNCT
cana-1223	46	10	stemming	stem	VERB
cana-1223	46	11	from	from	ADP
cana-1223	46	12	various	various	ADJ
cana-1223	46	13	sources	source	NOUN
cana-1223	46	14	like	like	ADP
cana-1223	46	15	learning	learn	VERB
cana-1223	46	16	management	management	NOUN
cana-1223	46	17	systems	system	NOUN
cana-1223	46	18	,	,	PUNCT
cana-1223	46	19	surveys	survey	NOUN
cana-1223	46	20	,	,	PUNCT
cana-1223	46	21	and	and	CCONJ
cana-1223	46	22	administrative	administrative	ADJ
cana-1223	46	23	records	record	NOUN
cana-1223	46	24	,	,	PUNCT
cana-1223	46	25	can	can	AUX
cana-1223	46	26	significantly	significantly	ADV
cana-1223	46	27	impact	impact	VERB
cana-1223	46	28	the	the	DET
cana-1223	46	29	saddl	saddl	PROPN
cana-1223	46	30	classifier	classifier	PROPN
cana-1223	46	31	model	model	PROPN
cana-1223	46	32	's	's	PART
cana-1223	46	33	performance	performance	NOUN
cana-1223	46	34	.	.	PUNCT
cana-1223	47	1	this	this	DET
cana-1223	47	2	heterogeneous	heterogeneous	ADJ
cana-1223	47	3	data	datum	NOUN
cana-1223	47	4	includes	include	VERB
cana-1223	47	5	numerical	numerical	ADJ
cana-1223	47	6	data	datum	NOUN
cana-1223	47	7	(	(	PUNCT
cana-1223	47	8	e.g.	e.g.	ADV
cana-1223	47	9	,	,	PUNCT
cana-1223	47	10	grades	grade	NOUN
cana-1223	47	11	,	,	PUNCT
cana-1223	47	12	attendance	attendance	NOUN
cana-1223	47	13	records	record	NOUN
cana-1223	47	14	)	)	PUNCT
cana-1223	47	15	,	,	PUNCT
cana-1223	47	16	categorical	categorical	ADJ
cana-1223	47	17	data	datum	NOUN
cana-1223	47	18	(	(	PUNCT
cana-1223	47	19	e.g.	e.g.	ADV
cana-1223	47	20	,	,	PUNCT
cana-1223	47	21	demographics	demographic	NOUN
cana-1223	47	22	,	,	PUNCT
cana-1223	47	23	course	course	NOUN
cana-1223	47	24	types	type	NOUN
cana-1223	47	25	)	)	PUNCT
cana-1223	47	26	,	,	PUNCT
cana-1223	47	27	and	and	CCONJ
cana-1223	47	28	text	text	NOUN
cana-1223	47	29	data	datum	NOUN
cana-1223	47	30	(	(	PUNCT
cana-1223	47	31	e.g.	e.g.	ADV
cana-1223	47	32	,	,	PUNCT
cana-1223	47	33	feedback	feedback	NOUN
cana-1223	47	34	comments	comment	NOUN
cana-1223	47	35	,	,	PUNCT
cana-1223	47	36	survey	survey	NOUN
cana-1223	47	37	responses	response	NOUN
cana-1223	47	38	)	)	PUNCT
cana-1223	47	39	.	.	PUNCT
cana-1223	48	1	integrating	integrate	VERB
cana-1223	48	2	these	these	DET
cana-1223	48	3	different	different	ADJ
cana-1223	48	4	data	datum	NOUN
cana-1223	48	5	types	type	NOUN
cana-1223	48	6	or	or	CCONJ
cana-1223	48	7	sources	source	NOUN
cana-1223	48	8	into	into	ADP
cana-1223	48	9	a	a	DET
cana-1223	48	10	unified	unified	ADJ
cana-1223	48	11	model	model	NOUN
cana-1223	48	12	is	be	AUX
cana-1223	48	13	a	a	DET
cana-1223	48	14	complex	complex	ADJ
cana-1223	48	15	task	task	NOUN
cana-1223	48	16	that	that	PRON
cana-1223	48	17	,	,	PUNCT
cana-1223	48	18	if	if	SCONJ
cana-1223	48	19	not	not	PART
cana-1223	48	20	executed	execute	VERB
cana-1223	48	21	properly	properly	ADV
cana-1223	48	22	,	,	PUNCT
cana-1223	48	23	may	may	AUX
cana-1223	48	24	result	result	VERB
cana-1223	48	25	in	in	ADP
cana-1223	48	26	the	the	DET
cana-1223	48	27	model	model	NOUN
cana-1223	48	28	failing	fail	VERB
cana-1223	48	29	to	to	PART
cana-1223	48	30	capture	capture	VERB
cana-1223	48	31	crucial	crucial	ADJ
cana-1223	48	32	data	datum	NOUN
cana-1223	48	33	relationships	relationship	NOUN
cana-1223	48	34	,	,	PUNCT
cana-1223	48	35	leading	lead	VERB
cana-1223	48	36	to	to	ADP
cana-1223	48	37	lower	low	ADJ
cana-1223	48	38	performance	performance	NOUN
cana-1223	48	39	.	.	PUNCT
cana-1223	49	1	communications	communication	NOUN
cana-1223	49	2	on	on	ADP
cana-1223	49	3	applied	apply	VERB
cana-1223	49	4	nonlinear	nonlinear	ADJ
cana-1223	49	5	analysis	analysis	NOUN
cana-1223	49	6	issn	issn	NOUN
cana-1223	49	7	:	:	PUNCT
cana-1223	49	8	1074	1074	NUM
cana-1223	49	9	-	-	PUNCT
cana-1223	49	10	133x	133x	NUM
cana-1223	49	11	vol	vol	NOUN
cana-1223	49	12	31	31	NUM
cana-1223	49	13	no	no	NOUN
cana-1223	49	14	.	.	PUNCT
cana-1223	50	1	6s	6s	NUM
cana-1223	50	2	(	(	PUNCT
cana-1223	50	3	2024	2024	NUM
cana-1223	50	4	)	)	PUNCT
cana-1223	50	5	295	295	NUM
cana-1223	51	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1223	51	2	therefore	therefore	ADV
cana-1223	51	3	,	,	PUNCT
cana-1223	51	4	this	this	DET
cana-1223	51	5	manuscript	manuscript	NOUN
cana-1223	51	6	proposes	propose	VERB
cana-1223	51	7	the	the	DET
cana-1223	51	8	egan	egan	PROPN
cana-1223	51	9	-	-	PUNCT
cana-1223	51	10	isaddl	isaddl	PROPN
cana-1223	51	11	model	model	NOUN
cana-1223	51	12	based	base	VERB
cana-1223	51	13	on	on	ADP
cana-1223	51	14	the	the	DET
cana-1223	51	15	multi	multi	ADJ
cana-1223	51	16	-	-	ADJ
cana-1223	51	17	view	view	ADJ
cana-1223	51	18	learning	learn	VERB
cana-1223	51	19	approach	approach	NOUN
cana-1223	51	20	for	for	ADP
cana-1223	51	21	student	student	NOUN
cana-1223	51	22	performance	performance	NOUN
cana-1223	51	23	prediction	prediction	NOUN
cana-1223	51	24	.	.	PUNCT
cana-1223	52	1	saddl	saddl	NOUN
cana-1223	52	2	can	can	AUX
cana-1223	52	3	automatically	automatically	ADV
cana-1223	52	4	extract	extract	VERB
cana-1223	52	5	features	feature	NOUN
cana-1223	52	6	from	from	ADP
cana-1223	52	7	student	student	NOUN
cana-1223	52	8	data	datum	NOUN
cana-1223	52	9	,	,	PUNCT
cana-1223	52	10	making	make	VERB
cana-1223	52	11	it	it	PRON
cana-1223	52	12	possible	possible	ADJ
cana-1223	52	13	to	to	PART
cana-1223	52	14	use	use	VERB
cana-1223	52	15	these	these	DET
cana-1223	52	16	extracted	extract	VERB
cana-1223	52	17	features	feature	NOUN
cana-1223	52	18	as	as	ADP
cana-1223	52	19	appropriate	appropriate	ADJ
cana-1223	52	20	inputs	input	NOUN
cana-1223	52	21	.	.	PUNCT
cana-1223	53	1	the	the	DET
cana-1223	53	2	intermediate	intermediate	ADJ
cana-1223	53	3	representations	representation	NOUN
cana-1223	53	4	obtained	obtain	VERB
cana-1223	53	5	from	from	ADP
cana-1223	53	6	these	these	DET
cana-1223	53	7	networks	network	NOUN
cana-1223	53	8	can	can	AUX
cana-1223	53	9	serve	serve	VERB
cana-1223	53	10	as	as	ADP
cana-1223	53	11	valuable	valuable	ADJ
cana-1223	53	12	features	feature	NOUN
cana-1223	53	13	.	.	PUNCT
cana-1223	54	1	saddl	saddl	ADJ
cana-1223	54	2	extracts	extract	NOUN
cana-1223	54	3	temporal	temporal	ADJ
cana-1223	54	4	and	and	CCONJ
cana-1223	54	5	correlation	correlation	NOUN
cana-1223	54	6	features	feature	NOUN
cana-1223	54	7	from	from	ADP
cana-1223	54	8	student	student	NOUN
cana-1223	54	9	data	datum	NOUN
cana-1223	54	10	,	,	PUNCT
cana-1223	54	11	while	while	SCONJ
cana-1223	54	12	multi	multi	ADJ
cana-1223	54	13	-	-	ADJ
cana-1223	54	14	view	view	ADJ
cana-1223	54	15	learning	learning	NOUN
cana-1223	54	16	focuses	focus	VERB
cana-1223	54	17	on	on	ADP
cana-1223	54	18	learning	learn	VERB
cana-1223	54	19	features	feature	NOUN
cana-1223	54	20	from	from	ADP
cana-1223	54	21	multiple	multiple	ADJ
cana-1223	54	22	perspectives	perspective	NOUN
cana-1223	54	23	.	.	PUNCT
cana-1223	55	1	multi	multi	ADJ
cana-1223	55	2	-	-	ADJ
cana-1223	55	3	view	view	ADJ
cana-1223	55	4	learning	learning	NOUN
cana-1223	55	5	leverages	leverage	VERB
cana-1223	55	6	the	the	DET
cana-1223	55	7	diverse	diverse	ADJ
cana-1223	55	8	properties	property	NOUN
cana-1223	55	9	of	of	ADP
cana-1223	55	10	input	input	NOUN
cana-1223	55	11	data	datum	NOUN
cana-1223	55	12	,	,	PUNCT
cana-1223	55	13	learning	learn	VERB
cana-1223	55	14	features	feature	NOUN
cana-1223	55	15	from	from	ADP
cana-1223	55	16	each	each	DET
cana-1223	55	17	view	view	NOUN
cana-1223	55	18	and	and	CCONJ
cana-1223	55	19	combining	combine	VERB
cana-1223	55	20	them	they	PRON
cana-1223	55	21	to	to	PART
cana-1223	55	22	improve	improve	VERB
cana-1223	55	23	prediction	prediction	NOUN
cana-1223	55	24	accuracy	accuracy	NOUN
cana-1223	55	25	.	.	PUNCT
cana-1223	56	1	the	the	DET
cana-1223	56	2	proposed	propose	VERB
cana-1223	56	3	isaddl	isaddl	NOUN
cana-1223	56	4	combines	combine	VERB
cana-1223	56	5	deep	deep	ADJ
cana-1223	56	6	features	feature	NOUN
cana-1223	56	7	extracted	extract	VERB
cana-1223	56	8	from	from	ADP
cana-1223	56	9	student	student	NOUN
cana-1223	56	10	data	datum	NOUN
cana-1223	56	11	by	by	ADP
cana-1223	56	12	heterogeneous	heterogeneous	ADJ
cana-1223	56	13	deep	deep	ADJ
cana-1223	56	14	neural	neural	ADJ
cana-1223	56	15	networks	network	NOUN
cana-1223	56	16	and	and	CCONJ
cana-1223	56	17	classifies	classify	VERB
cana-1223	56	18	them	they	PRON
cana-1223	56	19	using	use	VERB
cana-1223	56	20	a	a	DET
cana-1223	56	21	multi	multi	ADJ
cana-1223	56	22	-	-	ADJ
cana-1223	56	23	view	view	ADJ
cana-1223	56	24	classifier	classifier	NOUN
cana-1223	56	25	.	.	PUNCT
cana-1223	57	1	this	this	DET
cana-1223	57	2	approach	approach	NOUN
cana-1223	57	3	utilizes	utilize	VERB
cana-1223	57	4	intermediate	intermediate	ADJ
cana-1223	57	5	features	feature	NOUN
cana-1223	57	6	extracted	extract	VERB
cana-1223	57	7	from	from	ADP
cana-1223	57	8	lstm	lstm	NOUN
cana-1223	57	9	and	and	CCONJ
cana-1223	57	10	renn	renn	PROPN
cana-1223	57	11	for	for	ADP
cana-1223	57	12	classification	classification	NOUN
cana-1223	57	13	tasks	task	NOUN
cana-1223	57	14	.	.	PUNCT
cana-1223	58	1	the	the	DET
cana-1223	58	2	main	main	ADJ
cana-1223	58	3	contribution	contribution	NOUN
cana-1223	58	4	of	of	ADP
cana-1223	58	5	this	this	DET
cana-1223	58	6	manuscript	manuscript	NOUN
cana-1223	58	7	can	can	AUX
cana-1223	58	8	be	be	AUX
cana-1223	58	9	summarized	summarize	VERB
cana-1223	58	10	as	as	SCONJ
cana-1223	58	11	follows	follow	VERB
cana-1223	58	12	:	:	PUNCT
cana-1223	58	13	1	1	X
cana-1223	58	14	.	.	PUNCT
cana-1223	58	15	initially	initially	ADV
cana-1223	58	16	,	,	PUNCT
cana-1223	58	17	the	the	DET
cana-1223	58	18	academic	academic	ADJ
cana-1223	58	19	and	and	CCONJ
cana-1223	58	20	demographic	demographic	ADJ
cana-1223	58	21	attributes	attribute	NOUN
cana-1223	58	22	of	of	ADP
cana-1223	58	23	students	student	NOUN
cana-1223	58	24	are	be	AUX
cana-1223	58	25	collected	collect	VERB
cana-1223	58	26	,	,	PUNCT
cana-1223	58	27	along	along	ADP
cana-1223	58	28	with	with	ADP
cana-1223	58	29	information	information	NOUN
cana-1223	58	30	from	from	ADP
cana-1223	58	31	twitter	twitter	NOUN
cana-1223	58	32	,	,	PUNCT
cana-1223	58	33	facebook	facebook	NOUN
cana-1223	58	34	,	,	PUNCT
cana-1223	58	35	and	and	CCONJ
cana-1223	58	36	instagram	instagram	PROPN
cana-1223	58	37	,	,	PUNCT
cana-1223	58	38	using	use	VERB
cana-1223	58	39	api	api	NOUN
cana-1223	58	40	services	service	NOUN
cana-1223	58	41	to	to	PART
cana-1223	58	42	extract	extract	VERB
cana-1223	58	43	physiological	physiological	ADJ
cana-1223	58	44	features	feature	NOUN
cana-1223	58	45	through	through	ADP
cana-1223	58	46	lda	lda	PROPN
cana-1223	58	47	approach	approach	NOUN
cana-1223	58	48	.	.	PUNCT
cana-1223	59	1	2	2	X
cana-1223	59	2	.	.	X
cana-1223	59	3	the	the	DET
cana-1223	59	4	lstm	lstm	PROPN
cana-1223	59	5	-	-	PUNCT
cana-1223	59	6	dcnn	dcnn	PROPN
cana-1223	59	7	and	and	CCONJ
cana-1223	59	8	renn	renn	PROPN
cana-1223	59	9	models	model	NOUN
cana-1223	59	10	are	be	AUX
cana-1223	59	11	used	use	VERB
cana-1223	59	12	to	to	PART
cana-1223	59	13	generate	generate	VERB
cana-1223	59	14	intermediate	intermediate	ADJ
cana-1223	59	15	features	feature	NOUN
cana-1223	59	16	from	from	ADP
cana-1223	59	17	the	the	DET
cana-1223	59	18	input	input	NOUN
cana-1223	59	19	attributes	attribute	VERB
cana-1223	59	20	simultaneously	simultaneously	ADV
cana-1223	59	21	.	.	PUNCT
cana-1223	60	1	these	these	DET
cana-1223	60	2	features	feature	NOUN
cana-1223	60	3	are	be	AUX
cana-1223	60	4	temporal	temporal	ADJ
cana-1223	60	5	and	and	CCONJ
cana-1223	60	6	correlational	correlational	ADJ
cana-1223	60	7	,	,	PUNCT
cana-1223	60	8	treated	treat	VERB
cana-1223	60	9	as	as	ADP
cana-1223	60	10	distinct	distinct	ADJ
cana-1223	60	11	views	view	NOUN
cana-1223	60	12	.	.	PUNCT
cana-1223	61	1	3	3	X
cana-1223	61	2	.	.	X
cana-1223	61	3	a	a	DET
cana-1223	61	4	multi	multi	ADJ
cana-1223	61	5	-	-	ADJ
cana-1223	61	6	view	view	ADJ
cana-1223	61	7	classifier	classifier	NOUN
cana-1223	61	8	instead	instead	ADV
cana-1223	61	9	of	of	ADP
cana-1223	61	10	mlp	mlp	NOUN
cana-1223	61	11	processes	process	VERB
cana-1223	61	12	each	each	DET
cana-1223	61	13	set	set	NOUN
cana-1223	61	14	of	of	ADP
cana-1223	61	15	features	feature	NOUN
cana-1223	61	16	as	as	ADP
cana-1223	61	17	a	a	DET
cana-1223	61	18	separate	separate	ADJ
cana-1223	61	19	view	view	NOUN
cana-1223	61	20	and	and	CCONJ
cana-1223	61	21	trains	train	VERB
cana-1223	61	22	them	they	PRON
cana-1223	61	23	jointly	jointly	ADV
cana-1223	61	24	to	to	PART
cana-1223	61	25	predict	predict	VERB
cana-1223	61	26	students	student	NOUN
cana-1223	61	27	'	'	PART
cana-1223	61	28	academic	academic	ADJ
cana-1223	61	29	performance	performance	NOUN
cana-1223	61	30	,	,	PUNCT
cana-1223	61	31	enabling	enable	VERB
cana-1223	61	32	early	early	ADJ
cana-1223	61	33	identification	identification	NOUN
cana-1223	61	34	of	of	ADP
cana-1223	61	35	at	at	ADP
cana-1223	61	36	-	-	PUNCT
cana-1223	61	37	risk	risk	NOUN
cana-1223	61	38	students	student	NOUN
cana-1223	61	39	with	with	ADP
cana-1223	61	40	high	high	ADJ
cana-1223	61	41	accuracy	accuracy	NOUN
cana-1223	61	42	.	.	PUNCT
cana-1223	62	1	4	4	X
cana-1223	62	2	.	.	X
cana-1223	62	3	extensive	extensive	ADJ
cana-1223	62	4	experiments	experiment	NOUN
cana-1223	62	5	demonstrate	demonstrate	VERB
cana-1223	62	6	that	that	SCONJ
cana-1223	62	7	the	the	DET
cana-1223	62	8	egan	egan	PROPN
cana-1223	62	9	-	-	PUNCT
cana-1223	62	10	isaddl	isaddl	PROPN
cana-1223	62	11	model	model	NOUN
cana-1223	62	12	outperforms	outperform	VERB
cana-1223	62	13	traditional	traditional	ADJ
cana-1223	62	14	models	model	NOUN
cana-1223	62	15	in	in	ADP
cana-1223	62	16	terms	term	NOUN
cana-1223	62	17	of	of	ADP
cana-1223	62	18	outcomes	outcome	NOUN
cana-1223	62	19	.	.	PUNCT
cana-1223	63	1	the	the	DET
cana-1223	63	2	remaining	remain	VERB
cana-1223	63	3	manuscript	manuscript	NOUN
cana-1223	63	4	is	be	AUX
cana-1223	63	5	structured	structure	VERB
cana-1223	63	6	in	in	ADP
cana-1223	63	7	the	the	DET
cana-1223	63	8	following	following	ADJ
cana-1223	63	9	manner	manner	NOUN
cana-1223	63	10	:	:	PUNCT
cana-1223	63	11	section	section	NOUN
cana-1223	63	12	2	2	NUM
cana-1223	63	13	discusses	discuss	VERB
cana-1223	63	14	earlier	early	ADJ
cana-1223	63	15	studies	study	NOUN
cana-1223	63	16	.	.	PUNCT
cana-1223	64	1	section	section	NOUN
cana-1223	64	2	3	3	NUM
cana-1223	64	3	explores	explore	VERB
cana-1223	64	4	the	the	DET
cana-1223	64	5	egan	egan	PROPN
cana-1223	64	6	-	-	PUNCT
cana-1223	64	7	isaddl	isaddl	PROPN
cana-1223	64	8	model	model	NOUN
cana-1223	64	9	,	,	PUNCT
cana-1223	64	10	while	while	SCONJ
cana-1223	64	11	section	section	NOUN
cana-1223	64	12	4	4	NUM
cana-1223	64	13	evaluates	evaluate	VERB
cana-1223	64	14	its	its	PRON
cana-1223	64	15	efficiency	efficiency	NOUN
cana-1223	64	16	.	.	PUNCT
cana-1223	65	1	section	section	NOUN
cana-1223	65	2	5	5	NUM
cana-1223	65	3	summarizes	summarize	NOUN
cana-1223	65	4	the	the	DET
cana-1223	65	5	findings	finding	NOUN
cana-1223	65	6	along	along	ADP
cana-1223	65	7	with	with	ADP
cana-1223	65	8	potential	potential	ADJ
cana-1223	65	9	enhancements	enhancement	NOUN
cana-1223	65	10	.	.	PUNCT
cana-1223	66	1	2	2	X
cana-1223	66	2	.	.	X
cana-1223	66	3	literature	literature	NOUN
cana-1223	66	4	survey	survey	PROPN
cana-1223	66	5	forecasting	forecast	VERB
cana-1223	66	6	students	student	NOUN
cana-1223	66	7	'	'	PART
cana-1223	66	8	academic	academic	ADJ
cana-1223	66	9	achievement	achievement	NOUN
cana-1223	66	10	is	be	AUX
cana-1223	66	11	a	a	DET
cana-1223	66	12	critical	critical	ADJ
cana-1223	66	13	issue	issue	NOUN
cana-1223	66	14	in	in	ADP
cana-1223	66	15	higher	high	ADJ
cana-1223	66	16	education	education	NOUN
cana-1223	66	17	.	.	PUNCT
cana-1223	67	1	to	to	PART
cana-1223	67	2	tackle	tackle	VERB
cana-1223	67	3	this	this	DET
cana-1223	67	4	problem	problem	NOUN
cana-1223	67	5	,	,	PUNCT
cana-1223	67	6	many	many	ADJ
cana-1223	67	7	academics	academic	NOUN
cana-1223	67	8	have	have	AUX
cana-1223	67	9	utilized	utilize	VERB
cana-1223	67	10	educational	educational	ADJ
cana-1223	67	11	data	datum	NOUN
cana-1223	67	12	mining	mining	NOUN
cana-1223	67	13	technology	technology	NOUN
cana-1223	67	14	to	to	PART
cana-1223	67	15	make	make	VERB
cana-1223	67	16	informed	informed	ADJ
cana-1223	67	17	decisions	decision	NOUN
cana-1223	67	18	and	and	CCONJ
cana-1223	67	19	predict	predict	VERB
cana-1223	67	20	student	student	NOUN
cana-1223	67	21	success	success	NOUN
cana-1223	67	22	.	.	PUNCT
cana-1223	68	1	this	this	DET
cana-1223	68	2	section	section	NOUN
cana-1223	68	3	provides	provide	VERB
cana-1223	68	4	a	a	DET
cana-1223	68	5	brief	brief	ADJ
cana-1223	68	6	summary	summary	NOUN
cana-1223	68	7	of	of	ADP
cana-1223	68	8	the	the	DET
cana-1223	68	9	current	current	ADJ
cana-1223	68	10	literature	literature	NOUN
cana-1223	68	11	on	on	ADP
cana-1223	68	12	the	the	DET
cana-1223	68	13	use	use	NOUN
cana-1223	68	14	of	of	ADP
cana-1223	68	15	dl	dl	PROPN
cana-1223	68	16	models	model	NOUN
cana-1223	68	17	to	to	PART
cana-1223	68	18	predict	predict	VERB
cana-1223	68	19	student	student	NOUN
cana-1223	68	20	performance	performance	NOUN
cana-1223	68	21	and	and	CCONJ
cana-1223	68	22	identify	identify	VERB
cana-1223	68	23	high	high	ADJ
cana-1223	68	24	-	-	PUNCT
cana-1223	68	25	risk	risk	NOUN
cana-1223	68	26	students	student	NOUN
cana-1223	68	27	at	at	ADP
cana-1223	68	28	an	an	DET
cana-1223	68	29	early	early	ADJ
cana-1223	68	30	stage	stage	NOUN
cana-1223	68	31	.	.	PUNCT
cana-1223	69	1	arashpour	arashpour	VERB
cana-1223	69	2	et	et	PROPN
cana-1223	69	3	al	al	PROPN
cana-1223	69	4	.	.	PUNCT
cana-1223	70	1	[	[	X
cana-1223	70	2	10	10	NUM
cana-1223	70	3	]	]	PUNCT
cana-1223	70	4	combined	combined	ADJ
cana-1223	70	5	support	support	NOUN
cana-1223	70	6	vector	vector	NOUN
cana-1223	70	7	machine	machine	NOUN
cana-1223	70	8	(	(	PUNCT
cana-1223	70	9	svm	svm	PROPN
cana-1223	70	10	)	)	PUNCT
cana-1223	70	11	and	and	CCONJ
cana-1223	70	12	artificial	artificial	ADJ
cana-1223	70	13	neural	neural	ADJ
cana-1223	70	14	network	network	NOUN
cana-1223	70	15	(	(	PUNCT
cana-1223	70	16	ann	ann	PROPN
cana-1223	70	17	)	)	PUNCT
cana-1223	70	18	using	use	VERB
cana-1223	70	19	teaching	teach	VERB
cana-1223	70	20	-	-	PUNCT
cana-1223	70	21	learning	learning	NOUN
cana-1223	70	22	-	-	PUNCT
cana-1223	70	23	based	base	VERB
cana-1223	70	24	optimization	optimization	NOUN
cana-1223	70	25	(	(	PUNCT
cana-1223	70	26	tlbo	tlbo	PROPN
cana-1223	70	27	)	)	PUNCT
cana-1223	70	28	to	to	PART
cana-1223	70	29	predict	predict	VERB
cana-1223	70	30	student	student	NOUN
cana-1223	70	31	performance	performance	NOUN
cana-1223	70	32	.	.	PUNCT
cana-1223	71	1	they	they	PRON
cana-1223	71	2	used	use	VERB
cana-1223	71	3	tlbo	tlbo	PROPN
cana-1223	71	4	to	to	PART
cana-1223	71	5	select	select	VERB
cana-1223	71	6	features	feature	NOUN
cana-1223	71	7	for	for	ADP
cana-1223	71	8	both	both	CCONJ
cana-1223	71	9	algorithms	algorithm	NOUN
cana-1223	71	10	and	and	CCONJ
cana-1223	71	11	determine	determine	VERB
cana-1223	71	12	the	the	DET
cana-1223	71	13	optimal	optimal	ADJ
cana-1223	71	14	combination	combination	NOUN
cana-1223	71	15	of	of	ADP
cana-1223	71	16	input	input	NOUN
cana-1223	71	17	variables	variable	NOUN
cana-1223	71	18	.	.	PUNCT
cana-1223	72	1	the	the	DET
cana-1223	72	2	ann	ann	PROPN
cana-1223	72	3	architecture	architecture	NOUN
cana-1223	72	4	was	be	AUX
cana-1223	72	5	also	also	ADV
cana-1223	72	6	determined	determine	VERB
cana-1223	72	7	using	use	VERB
cana-1223	72	8	tlbo	tlbo	PROPN
cana-1223	72	9	.	.	PUNCT
cana-1223	73	1	different	different	ADJ
cana-1223	73	2	hybrid	hybrid	NOUN
cana-1223	73	3	models	model	NOUN
cana-1223	73	4	were	be	AUX
cana-1223	73	5	established	establish	VERB
cana-1223	73	6	using	use	VERB
cana-1223	73	7	a	a	DET
cana-1223	73	8	dataset	dataset	NOUN
cana-1223	73	9	with	with	ADP
cana-1223	73	10	anonymized	anonymize	VERB
cana-1223	73	11	information	information	NOUN
cana-1223	73	12	on	on	ADP
cana-1223	73	13	discrete	discrete	ADJ
cana-1223	73	14	and	and	CCONJ
cana-1223	73	15	continuous	continuous	ADJ
cana-1223	73	16	variables	variable	NOUN
cana-1223	73	17	for	for	ADP
cana-1223	73	18	learning	learn	VERB
cana-1223	73	19	analytics	analytic	NOUN
cana-1223	73	20	.	.	PUNCT
cana-1223	74	1	however	however	ADV
cana-1223	74	2	,	,	PUNCT
cana-1223	74	3	the	the	DET
cana-1223	74	4	inadequate	inadequate	ADJ
cana-1223	74	5	amount	amount	NOUN
cana-1223	74	6	of	of	ADP
cana-1223	74	7	available	available	ADJ
cana-1223	74	8	data	datum	NOUN
cana-1223	74	9	limited	limit	VERB
cana-1223	74	10	the	the	DET
cana-1223	74	11	accuracy	accuracy	NOUN
cana-1223	74	12	.	.	PUNCT
cana-1223	75	1	al	al	PROPN
cana-1223	75	2	-	-	PUNCT
cana-1223	75	3	azazi	azazi	PROPN
cana-1223	75	4	et	et	PROPN
cana-1223	75	5	al	al	PROPN
cana-1223	75	6	.	.	PUNCT
cana-1223	76	1	[	[	X
cana-1223	76	2	11	11	NUM
cana-1223	76	3	]	]	PUNCT
cana-1223	76	4	developed	develop	VERB
cana-1223	76	5	a	a	DET
cana-1223	76	6	day	day	NOUN
cana-1223	76	7	-	-	PUNCT
cana-1223	76	8	wise	wise	ADJ
cana-1223	76	9	multi	multi	ADJ
cana-1223	76	10	-	-	ADJ
cana-1223	76	11	class	class	ADJ
cana-1223	76	12	framework	framework	NOUN
cana-1223	76	13	using	use	VERB
cana-1223	76	14	ann	ann	PROPN
cana-1223	76	15	-	-	PUNCT
cana-1223	76	16	lstm	lstm	PROPN
cana-1223	76	17	to	to	PART
cana-1223	76	18	predict	predict	VERB
cana-1223	76	19	student	student	NOUN
cana-1223	76	20	performance	performance	NOUN
cana-1223	76	21	based	base	VERB
cana-1223	76	22	on	on	ADP
cana-1223	76	23	demographic	demographic	ADJ
cana-1223	76	24	and	and	CCONJ
cana-1223	76	25	clickstream	clickstream	NOUN
cana-1223	76	26	data	datum	NOUN
cana-1223	76	27	.	.	PUNCT
cana-1223	77	1	they	they	PRON
cana-1223	77	2	used	use	VERB
cana-1223	77	3	the	the	DET
cana-1223	77	4	lstm	lstm	PROPN
cana-1223	77	5	network	network	NOUN
cana-1223	77	6	instead	instead	ADV
cana-1223	77	7	of	of	ADP
cana-1223	77	8	the	the	DET
cana-1223	77	9	ann	ann	PROPN
cana-1223	77	10	's	's	PART
cana-1223	77	11	input	input	NOUN
cana-1223	77	12	layer	layer	NOUN
cana-1223	77	13	for	for	ADP
cana-1223	77	14	time	time	NOUN
cana-1223	77	15	-	-	PUNCT
cana-1223	77	16	series	series	NOUN
cana-1223	77	17	analysis	analysis	NOUN
cana-1223	77	18	to	to	PART
cana-1223	77	19	capture	capture	VERB
cana-1223	77	20	latent	latent	NOUN
cana-1223	77	21	dependencies	dependency	NOUN
cana-1223	77	22	among	among	ADP
cana-1223	77	23	features	feature	NOUN
cana-1223	77	24	.	.	PUNCT
cana-1223	78	1	however	however	ADV
cana-1223	78	2	,	,	PUNCT
cana-1223	78	3	the	the	DET
cana-1223	78	4	small	small	ADJ
cana-1223	78	5	number	number	NOUN
cana-1223	78	6	of	of	ADP
cana-1223	78	7	records	record	NOUN
cana-1223	78	8	limited	limit	VERB
cana-1223	78	9	the	the	DET
cana-1223	78	10	model	model	NOUN
cana-1223	78	11	's	's	PART
cana-1223	78	12	performance	performance	NOUN
cana-1223	78	13	metrics	metric	NOUN
cana-1223	78	14	,	,	PUNCT
cana-1223	78	15	such	such	ADJ
cana-1223	78	16	as	as	ADP
cana-1223	78	17	recall	recall	NOUN
cana-1223	78	18	and	and	CCONJ
cana-1223	78	19	f1	f1	NOUN
cana-1223	78	20	-	-	PUNCT
cana-1223	78	21	score	score	NOUN
cana-1223	78	22	.	.	PUNCT
cana-1223	79	1	communications	communication	NOUN
cana-1223	79	2	on	on	ADP
cana-1223	79	3	applied	apply	VERB
cana-1223	79	4	nonlinear	nonlinear	ADJ
cana-1223	79	5	analysis	analysis	NOUN
cana-1223	79	6	issn	issn	NOUN
cana-1223	79	7	:	:	PUNCT
cana-1223	79	8	1074	1074	NUM
cana-1223	79	9	-	-	PUNCT
cana-1223	79	10	133x	133x	NUM
cana-1223	79	11	vol	vol	NOUN
cana-1223	79	12	31	31	NUM
cana-1223	79	13	no	no	NOUN
cana-1223	79	14	.	.	PUNCT
cana-1223	80	1	6s	6s	NUM
cana-1223	80	2	(	(	PUNCT
cana-1223	80	3	2024	2024	NUM
cana-1223	80	4	)	)	PUNCT
cana-1223	80	5	296	296	NUM
cana-1223	80	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1223	80	7	albreiki	albreiki	PROPN
cana-1223	80	8	et	et	PROPN
cana-1223	80	9	al	al	PROPN
cana-1223	80	10	.	.	PUNCT
cana-1223	81	1	[	[	X
cana-1223	81	2	12	12	NUM
cana-1223	81	3	]	]	PUNCT
cana-1223	81	4	developed	develop	VERB
cana-1223	81	5	a	a	DET
cana-1223	81	6	hybrid	hybrid	ADJ
cana-1223	81	7	model	model	NOUN
cana-1223	81	8	using	use	VERB
cana-1223	81	9	graph	graph	NOUN
cana-1223	81	10	convolution	convolution	NOUN
cana-1223	81	11	networks	network	NOUN
cana-1223	81	12	and	and	CCONJ
cana-1223	81	13	ml	ml	AUX
cana-1223	81	14	to	to	PART
cana-1223	81	15	predict	predict	VERB
cana-1223	81	16	academic	academic	ADJ
cana-1223	81	17	performance	performance	NOUN
cana-1223	81	18	,	,	PUNCT
cana-1223	81	19	focusing	focus	VERB
cana-1223	81	20	on	on	ADP
cana-1223	81	21	at	at	ADP
cana-1223	81	22	-	-	PUNCT
cana-1223	81	23	risk	risk	NOUN
cana-1223	81	24	students	student	NOUN
cana-1223	81	25	.	.	PUNCT
cana-1223	82	1	they	they	PRON
cana-1223	82	2	utilized	utilize	VERB
cana-1223	82	3	euclidean	euclidean	NOUN
cana-1223	82	4	and	and	CCONJ
cana-1223	82	5	cosine	cosine	NOUN
cana-1223	82	6	distances	distance	NOUN
cana-1223	82	7	to	to	PART
cana-1223	82	8	establish	establish	VERB
cana-1223	82	9	similarities	similarity	NOUN
cana-1223	82	10	between	between	ADP
cana-1223	82	11	student	student	NOUN
cana-1223	82	12	data	datum	NOUN
cana-1223	82	13	and	and	CCONJ
cana-1223	82	14	construct	construct	VERB
cana-1223	82	15	a	a	DET
cana-1223	82	16	graph	graph	NOUN
cana-1223	82	17	.	.	PUNCT
cana-1223	83	1	topological	topological	ADJ
cana-1223	83	2	features	feature	NOUN
cana-1223	83	3	were	be	AUX
cana-1223	83	4	extracted	extract	VERB
cana-1223	83	5	from	from	ADP
cana-1223	83	6	the	the	DET
cana-1223	83	7	graph	graph	NOUN
cana-1223	83	8	to	to	PART
cana-1223	83	9	capture	capture	VERB
cana-1223	83	10	structural	structural	ADJ
cana-1223	83	11	correlations	correlation	NOUN
cana-1223	83	12	,	,	PUNCT
cana-1223	83	13	which	which	PRON
cana-1223	83	14	were	be	AUX
cana-1223	83	15	then	then	ADV
cana-1223	83	16	learned	learn	VERB
cana-1223	83	17	by	by	ADP
cana-1223	83	18	ml	ml	NOUN
cana-1223	83	19	algorithms	algorithm	NOUN
cana-1223	83	20	for	for	ADP
cana-1223	83	21	prediction	prediction	NOUN
cana-1223	83	22	.	.	PUNCT
cana-1223	84	1	however	however	ADV
cana-1223	84	2	,	,	PUNCT
cana-1223	84	3	it	it	PRON
cana-1223	84	4	needs	need	VERB
cana-1223	84	5	additional	additional	ADJ
cana-1223	84	6	factors	factor	NOUN
cana-1223	84	7	related	relate	VERB
cana-1223	84	8	to	to	ADP
cana-1223	84	9	student	student	NOUN
cana-1223	84	10	behavior	behavior	NOUN
cana-1223	84	11	on	on	ADP
cana-1223	84	12	online	online	ADJ
cana-1223	84	13	platforms	platform	NOUN
cana-1223	84	14	to	to	PART
cana-1223	84	15	improve	improve	VERB
cana-1223	84	16	prediction	prediction	NOUN
cana-1223	84	17	accuracy	accuracy	NOUN
cana-1223	84	18	.	.	PUNCT
cana-1223	85	1	liu	liu	PROPN
cana-1223	85	2	et	et	PROPN
cana-1223	85	3	al	al	PROPN
cana-1223	85	4	.	.	PUNCT
cana-1223	86	1	[	[	X
cana-1223	86	2	13	13	NUM
cana-1223	86	3	]	]	PUNCT
cana-1223	86	4	developed	develop	VERB
cana-1223	86	5	the	the	DET
cana-1223	86	6	mcag	mcag	NOUN
cana-1223	86	7	framework	framework	NOUN
cana-1223	86	8	to	to	PART
cana-1223	86	9	forecast	forecast	VERB
cana-1223	86	10	student	student	NOUN
cana-1223	86	11	achievement	achievement	NOUN
cana-1223	86	12	.	.	PUNCT
cana-1223	87	1	this	this	DET
cana-1223	87	2	framework	framework	NOUN
cana-1223	87	3	utilized	utilize	VERB
cana-1223	87	4	the	the	DET
cana-1223	87	5	maximum	maximum	ADJ
cana-1223	87	6	information	information	NOUN
cana-1223	87	7	coefficient	coefficient	NOUN
cana-1223	87	8	(	(	PUNCT
cana-1223	87	9	mic	mic	NOUN
cana-1223	87	10	)	)	PUNCT
cana-1223	87	11	,	,	PUNCT
cana-1223	87	12	dcnn	dcnn	PROPN
cana-1223	87	13	,	,	PUNCT
cana-1223	87	14	attention	attention	NOUN
cana-1223	87	15	strategy	strategy	NOUN
cana-1223	87	16	,	,	PUNCT
cana-1223	87	17	and	and	CCONJ
cana-1223	87	18	gated	gate	VERB
cana-1223	87	19	recurrent	recurrent	ADJ
cana-1223	87	20	unit	unit	NOUN
cana-1223	87	21	(	(	PUNCT
cana-1223	87	22	gru	gru	PROPN
cana-1223	87	23	)	)	PUNCT
cana-1223	87	24	.	.	PUNCT
cana-1223	88	1	the	the	DET
cana-1223	88	2	mic	mic	ADJ
cana-1223	88	3	(	(	PUNCT
cana-1223	88	4	multiple	multiple	ADJ
cana-1223	88	5	indicator	indicator	NOUN
cana-1223	88	6	link	link	PROPN
cana-1223	88	7	)	)	PUNCT
cana-1223	88	8	was	be	AUX
cana-1223	88	9	employed	employ	VERB
cana-1223	88	10	to	to	PART
cana-1223	88	11	ascertain	ascertain	VERB
cana-1223	88	12	the	the	DET
cana-1223	88	13	link	link	NOUN
cana-1223	88	14	between	between	ADP
cana-1223	88	15	influential	influential	ADJ
cana-1223	88	16	factors	factor	NOUN
cana-1223	88	17	and	and	CCONJ
cana-1223	88	18	student	student	NOUN
cana-1223	88	19	accomplishment	accomplishment	NOUN
cana-1223	88	20	.	.	PUNCT
cana-1223	89	1	subsequently	subsequently	ADV
cana-1223	89	2	,	,	PUNCT
cana-1223	89	3	the	the	DET
cana-1223	89	4	dcnn	dcnn	ADJ
cana-1223	89	5	-	-	PUNCT
cana-1223	89	6	attention	attention	NOUN
cana-1223	89	7	model	model	NOUN
cana-1223	89	8	was	be	AUX
cana-1223	89	9	employed	employ	VERB
cana-1223	89	10	to	to	PART
cana-1223	89	11	extract	extract	VERB
cana-1223	89	12	high	high	ADJ
cana-1223	89	13	-	-	PUNCT
cana-1223	89	14	dimensional	dimensional	ADJ
cana-1223	89	15	features	feature	NOUN
cana-1223	89	16	and	and	CCONJ
cana-1223	89	17	allocate	allocate	VERB
cana-1223	89	18	attention	attention	NOUN
cana-1223	89	19	weights	weight	NOUN
cana-1223	89	20	to	to	ADP
cana-1223	89	21	distinct	distinct	ADJ
cana-1223	89	22	aspects	aspect	NOUN
cana-1223	89	23	.	.	PUNCT
cana-1223	90	1	the	the	DET
cana-1223	90	2	gru	gru	NOUN
cana-1223	90	3	was	be	AUX
cana-1223	90	4	employed	employ	VERB
cana-1223	90	5	to	to	PART
cana-1223	90	6	capture	capture	VERB
cana-1223	90	7	temporal	temporal	ADJ
cana-1223	90	8	features	feature	NOUN
cana-1223	90	9	.	.	PUNCT
cana-1223	91	1	ultimately	ultimately	ADV
cana-1223	91	2	,	,	PUNCT
cana-1223	91	3	the	the	DET
cana-1223	91	4	characteristics	characteristic	NOUN
cana-1223	91	5	extracted	extract	VERB
cana-1223	91	6	from	from	ADP
cana-1223	91	7	both	both	CCONJ
cana-1223	91	8	the	the	DET
cana-1223	91	9	dcnn	dcnn	PROPN
cana-1223	91	10	and	and	CCONJ
cana-1223	91	11	the	the	DET
cana-1223	91	12	gru	gru	NOUN
cana-1223	91	13	were	be	AUX
cana-1223	91	14	merged	merge	VERB
cana-1223	91	15	to	to	PART
cana-1223	91	16	forecast	forecast	VERB
cana-1223	91	17	student	student	NOUN
cana-1223	91	18	performance	performance	NOUN
cana-1223	91	19	.	.	PUNCT
cana-1223	92	1	however	however	ADV
cana-1223	92	2	,	,	PUNCT
cana-1223	92	3	the	the	DET
cana-1223	92	4	limited	limited	ADJ
cana-1223	92	5	availability	availability	NOUN
cana-1223	92	6	of	of	ADP
cana-1223	92	7	student	student	NOUN
cana-1223	92	8	records	record	NOUN
cana-1223	92	9	and	and	CCONJ
cana-1223	92	10	other	other	ADJ
cana-1223	92	11	relevant	relevant	ADJ
cana-1223	92	12	factors	factor	NOUN
cana-1223	92	13	compromised	compromise	VERB
cana-1223	92	14	accuracy	accuracy	NOUN
cana-1223	92	15	.	.	PUNCT
cana-1223	93	1	sun	sun	PROPN
cana-1223	93	2	et	et	PROPN
cana-1223	93	3	al	al	PROPN
cana-1223	93	4	.	.	PUNCT
cana-1223	94	1	[	[	X
cana-1223	94	2	14	14	NUM
cana-1223	94	3	]	]	PUNCT
cana-1223	94	4	developed	develop	VERB
cana-1223	94	5	a	a	DET
cana-1223	94	6	novel	novel	ADJ
cana-1223	94	7	paradigm	paradigm	NOUN
cana-1223	94	8	for	for	ADP
cana-1223	94	9	forecasting	forecast	VERB
cana-1223	94	10	college	college	NOUN
cana-1223	94	11	scholar	scholar	NOUN
cana-1223	94	12	achievement	achievement	NOUN
cana-1223	94	13	based	base	VERB
cana-1223	94	14	on	on	ADP
cana-1223	94	15	multiattribute	multiattribute	NOUN
cana-1223	94	16	merging	merging	NOUN
cana-1223	94	17	and	and	CCONJ
cana-1223	94	18	attention	attention	NOUN
cana-1223	94	19	mechanisms	mechanism	NOUN
cana-1223	94	20	.	.	PUNCT
cana-1223	95	1	they	they	PRON
cana-1223	95	2	focused	focus	VERB
cana-1223	95	3	on	on	ADP
cana-1223	95	4	examining	examine	VERB
cana-1223	95	5	previous	previous	ADJ
cana-1223	95	6	academic	academic	ADJ
cana-1223	95	7	rankings	ranking	NOUN
cana-1223	95	8	among	among	ADP
cana-1223	95	9	college	college	NOUN
cana-1223	95	10	scholars	scholar	NOUN
cana-1223	95	11	across	across	ADP
cana-1223	95	12	multiple	multiple	ADJ
cana-1223	95	13	scopes	scope	NOUN
cana-1223	95	14	to	to	PART
cana-1223	95	15	uncover	uncover	VERB
cana-1223	95	16	correlation	correlation	NOUN
cana-1223	95	17	qualities	quality	NOUN
cana-1223	95	18	between	between	ADP
cana-1223	95	19	individuals	individual	NOUN
cana-1223	95	20	and	and	CCONJ
cana-1223	95	21	courses	course	NOUN
cana-1223	95	22	.	.	PUNCT
cana-1223	96	1	they	they	PRON
cana-1223	96	2	employed	employ	VERB
cana-1223	96	3	an	an	DET
cana-1223	96	4	attention	attention	NOUN
cana-1223	96	5	method	method	NOUN
cana-1223	96	6	to	to	PART
cana-1223	96	7	identify	identify	VERB
cana-1223	96	8	correlations	correlation	NOUN
cana-1223	96	9	between	between	ADP
cana-1223	96	10	multidimensional	multidimensional	ADJ
cana-1223	96	11	aspects	aspect	NOUN
cana-1223	96	12	.	.	PUNCT
cana-1223	97	1	however	however	ADV
cana-1223	97	2	,	,	PUNCT
cana-1223	97	3	due	due	ADP
cana-1223	97	4	to	to	ADP
cana-1223	97	5	a	a	DET
cana-1223	97	6	lack	lack	NOUN
cana-1223	97	7	of	of	ADP
cana-1223	97	8	available	available	ADJ
cana-1223	97	9	student	student	NOUN
cana-1223	97	10	data	datum	NOUN
cana-1223	97	11	,	,	PUNCT
cana-1223	97	12	the	the	DET
cana-1223	97	13	framework	framework	NOUN
cana-1223	97	14	's	's	PART
cana-1223	97	15	accuracy	accuracy	NOUN
cana-1223	97	16	was	be	AUX
cana-1223	97	17	low	low	ADJ
cana-1223	97	18	,	,	PUNCT
cana-1223	97	19	prompting	prompt	VERB
cana-1223	97	20	a	a	DET
cana-1223	97	21	proposal	proposal	NOUN
cana-1223	97	22	to	to	PART
cana-1223	97	23	address	address	VERB
cana-1223	97	24	student	student	NOUN
cana-1223	97	25	behavioral	behavioral	ADJ
cana-1223	97	26	variables	variable	NOUN
cana-1223	97	27	to	to	PART
cana-1223	97	28	increase	increase	VERB
cana-1223	97	29	prediction	prediction	NOUN
cana-1223	97	30	accuracy	accuracy	NOUN
cana-1223	97	31	.	.	PUNCT
cana-1223	98	1	albahli	albahli	PUNCT
cana-1223	99	1	[	[	X
cana-1223	99	2	15	15	NUM
cana-1223	99	3	]	]	PUNCT
cana-1223	99	4	used	use	VERB
cana-1223	99	5	random	random	ADJ
cana-1223	99	6	forest	forest	NOUN
cana-1223	99	7	and	and	CCONJ
cana-1223	99	8	decision	decision	NOUN
cana-1223	99	9	tree	tree	NOUN
cana-1223	99	10	algorithms	algorithm	NOUN
cana-1223	99	11	with	with	ADP
cana-1223	99	12	synthetic	synthetic	ADJ
cana-1223	99	13	minority	minority	NOUN
cana-1223	99	14	over	over	ADP
cana-1223	99	15	-	-	PUNCT
cana-1223	99	16	sampling	sample	VERB
cana-1223	99	17	technique	technique	NOUN
cana-1223	99	18	(	(	PUNCT
cana-1223	99	19	smote	smote	NOUN
cana-1223	99	20	)	)	PUNCT
cana-1223	99	21	to	to	PART
cana-1223	99	22	handle	handle	VERB
cana-1223	99	23	imbalanced	imbalanced	ADJ
cana-1223	99	24	data	datum	NOUN
cana-1223	99	25	,	,	PUNCT
cana-1223	99	26	as	as	ADV
cana-1223	99	27	well	well	ADV
cana-1223	99	28	as	as	ADP
cana-1223	99	29	a	a	DET
cana-1223	99	30	bayesian	bayesian	NOUN
cana-1223	99	31	optimizer	optimizer	NOUN
cana-1223	99	32	-	-	PUNCT
cana-1223	99	33	based	base	VERB
cana-1223	99	34	hyperparameter	hyperparameter	NOUN
cana-1223	99	35	tuning	tune	VERB
cana-1223	99	36	to	to	PART
cana-1223	99	37	improve	improve	VERB
cana-1223	99	38	student	student	NOUN
cana-1223	99	39	academic	academic	ADJ
cana-1223	99	40	prediction	prediction	NOUN
cana-1223	99	41	performance	performance	NOUN
cana-1223	99	42	.	.	PUNCT
cana-1223	100	1	however	however	ADV
cana-1223	100	2	,	,	PUNCT
cana-1223	100	3	the	the	DET
cana-1223	100	4	small	small	ADJ
cana-1223	100	5	number	number	NOUN
cana-1223	100	6	of	of	ADP
cana-1223	100	7	student	student	NOUN
cana-1223	100	8	records	record	NOUN
cana-1223	100	9	limited	limit	VERB
cana-1223	100	10	the	the	DET
cana-1223	100	11	accuracy	accuracy	NOUN
cana-1223	100	12	.	.	PUNCT
cana-1223	101	1	vives	vive	NOUN
cana-1223	101	2	et	et	NOUN
cana-1223	101	3	al	al	PROPN
cana-1223	101	4	.	.	PUNCT
cana-1223	102	1	[	[	X
cana-1223	102	2	16	16	NUM
cana-1223	102	3	]	]	PUNCT
cana-1223	102	4	employed	employ	VERB
cana-1223	102	5	an	an	DET
cana-1223	102	6	lstm	lstm	ADJ
cana-1223	102	7	network	network	NOUN
cana-1223	102	8	to	to	PART
cana-1223	102	9	forecast	forecast	VERB
cana-1223	102	10	students	student	NOUN
cana-1223	102	11	'	'	PART
cana-1223	102	12	academic	academic	ADJ
cana-1223	102	13	performance	performance	NOUN
cana-1223	102	14	in	in	ADP
cana-1223	102	15	the	the	DET
cana-1223	102	16	programming	programming	NOUN
cana-1223	102	17	fundamentals	fundamental	NOUN
cana-1223	102	18	course	course	NOUN
cana-1223	102	19	,	,	PUNCT
cana-1223	102	20	pinpointing	pinpoint	VERB
cana-1223	102	21	those	those	PRON
cana-1223	102	22	at	at	ADP
cana-1223	102	23	risk	risk	NOUN
cana-1223	102	24	of	of	ADP
cana-1223	102	25	failing	fail	VERB
cana-1223	102	26	.	.	PUNCT
cana-1223	103	1	they	they	PRON
cana-1223	103	2	employed	employ	VERB
cana-1223	103	3	gan	gan	NOUN
cana-1223	103	4	and	and	CCONJ
cana-1223	103	5	smote	smote	VERB
cana-1223	103	6	to	to	PART
cana-1223	103	7	balance	balance	VERB
cana-1223	103	8	the	the	DET
cana-1223	103	9	data	datum	NOUN
cana-1223	103	10	.	.	PUNCT
cana-1223	104	1	however	however	ADV
cana-1223	104	2	,	,	PUNCT
cana-1223	104	3	they	they	PRON
cana-1223	104	4	found	find	VERB
cana-1223	104	5	that	that	SCONJ
cana-1223	104	6	incorporating	incorporate	VERB
cana-1223	104	7	additional	additional	ADJ
cana-1223	104	8	attributes	attribute	NOUN
cana-1223	104	9	related	relate	VERB
cana-1223	104	10	to	to	ADP
cana-1223	104	11	competencies	competency	NOUN
cana-1223	104	12	and	and	CCONJ
cana-1223	104	13	learning	learn	VERB
cana-1223	104	14	styles	style	NOUN
cana-1223	104	15	could	could	AUX
cana-1223	104	16	enhance	enhance	VERB
cana-1223	104	17	prediction	prediction	NOUN
cana-1223	104	18	accuracy	accuracy	NOUN
cana-1223	104	19	.	.	PUNCT
cana-1223	105	1	noviandy	noviandy	NOUN
cana-1223	105	2	et	et	PROPN
cana-1223	105	3	al	al	PROPN
cana-1223	105	4	.	.	PUNCT
cana-1223	106	1	[	[	X
cana-1223	106	2	17	17	NUM
cana-1223	106	3	]	]	PUNCT
cana-1223	106	4	developed	develop	VERB
cana-1223	106	5	a	a	DET
cana-1223	106	6	stacked	stack	VERB
cana-1223	106	7	classifier	classifier	NOUN
cana-1223	106	8	using	use	VERB
cana-1223	106	9	light	light	ADJ
cana-1223	106	10	gradient	gradient	ADJ
cana-1223	106	11	boosting	boost	VERB
cana-1223	106	12	machine	machine	NOUN
cana-1223	106	13	(	(	PUNCT
cana-1223	106	14	lightgbm	lightgbm	ADJ
cana-1223	106	15	)	)	PUNCT
cana-1223	106	16	,	,	PUNCT
cana-1223	106	17	random	random	ADJ
cana-1223	106	18	forest	forest	NOUN
cana-1223	106	19	,	,	PUNCT
cana-1223	106	20	and	and	CCONJ
cana-1223	106	21	logistic	logistic	ADJ
cana-1223	106	22	regression	regression	NOUN
cana-1223	106	23	to	to	PART
cana-1223	106	24	predict	predict	VERB
cana-1223	106	25	dropout	dropout	NOUN
cana-1223	106	26	risks	risk	NOUN
cana-1223	106	27	and	and	CCONJ
cana-1223	106	28	academic	academic	ADJ
cana-1223	106	29	success	success	NOUN
cana-1223	106	30	.	.	PUNCT
cana-1223	107	1	only	only	ADV
cana-1223	107	2	considering	consider	VERB
cana-1223	107	3	static	static	ADJ
cana-1223	107	4	academic	academic	ADJ
cana-1223	107	5	and	and	CCONJ
cana-1223	107	6	socio	socio	NOUN
cana-1223	107	7	-	-	PUNCT
cana-1223	107	8	economic	economic	ADJ
cana-1223	107	9	features	feature	NOUN
cana-1223	107	10	at	at	ADP
cana-1223	107	11	enrollment	enrollment	NOUN
cana-1223	107	12	limited	limit	VERB
cana-1223	107	13	the	the	DET
cana-1223	107	14	study	study	NOUN
cana-1223	107	15	's	's	PART
cana-1223	107	16	accuracy	accuracy	NOUN
cana-1223	107	17	,	,	PUNCT
cana-1223	107	18	potentially	potentially	ADV
cana-1223	107	19	missing	miss	VERB
cana-1223	107	20	dynamic	dynamic	ADJ
cana-1223	107	21	changes	change	NOUN
cana-1223	107	22	during	during	ADP
cana-1223	107	23	the	the	DET
cana-1223	107	24	student	student	NOUN
cana-1223	107	25	's	's	PART
cana-1223	107	26	educational	educational	ADJ
cana-1223	107	27	path	path	NOUN
cana-1223	107	28	.	.	PUNCT
cana-1223	108	1	baniata	baniata	PROPN
cana-1223	108	2	et	et	PROPN
cana-1223	108	3	al	al	PROPN
cana-1223	108	4	.	.	PUNCT
cana-1223	109	1	[	[	X
cana-1223	109	2	18	18	NUM
cana-1223	109	3	]	]	PUNCT
cana-1223	109	4	developed	develop	VERB
cana-1223	109	5	the	the	DET
cana-1223	109	6	dl	dl	PROPN
cana-1223	109	7	model	model	NOUN
cana-1223	109	8	using	use	VERB
cana-1223	109	9	the	the	DET
cana-1223	109	10	gru	gru	NOUN
cana-1223	109	11	network	network	NOUN
cana-1223	109	12	to	to	PART
cana-1223	109	13	predict	predict	VERB
cana-1223	109	14	students	student	NOUN
cana-1223	109	15	'	'	PART
cana-1223	109	16	academic	academic	ADJ
cana-1223	109	17	performance	performance	NOUN
cana-1223	109	18	.	.	PUNCT
cana-1223	110	1	however	however	ADV
cana-1223	110	2	,	,	PUNCT
cana-1223	110	3	a	a	DET
cana-1223	110	4	small	small	ADJ
cana-1223	110	5	dataset	dataset	NOUN
cana-1223	110	6	limited	limit	VERB
cana-1223	110	7	the	the	DET
cana-1223	110	8	model	model	NOUN
cana-1223	110	9	efficiency	efficiency	NOUN
cana-1223	110	10	,	,	PUNCT
cana-1223	110	11	necessitating	necessitate	VERB
cana-1223	110	12	further	further	ADJ
cana-1223	110	13	exploration	exploration	NOUN
cana-1223	110	14	to	to	PART
cana-1223	110	15	incorporate	incorporate	VERB
cana-1223	110	16	diverse	diverse	ADJ
cana-1223	110	17	data	datum	NOUN
cana-1223	110	18	for	for	ADP
cana-1223	110	19	improved	improved	ADJ
cana-1223	110	20	prediction	prediction	NOUN
cana-1223	110	21	accuracy	accuracy	NOUN
cana-1223	110	22	.	.	PUNCT
cana-1223	111	1	fazil	fazil	PROPN
cana-1223	111	2	et	et	PROPN
cana-1223	111	3	al	al	PROPN
cana-1223	111	4	.	.	PUNCT
cana-1223	112	1	[	[	X
cana-1223	112	2	19	19	NUM
cana-1223	112	3	]	]	PUNCT
cana-1223	112	4	developed	develop	VERB
cana-1223	112	5	a	a	DET
cana-1223	112	6	new	new	ADJ
cana-1223	112	7	attention	attention	NOUN
cana-1223	112	8	-	-	PUNCT
cana-1223	112	9	aware	aware	ADJ
cana-1223	112	10	stacked	stack	VERB
cana-1223	112	11	convolutional	convolutional	ADJ
cana-1223	112	12	stacked	stack	VERB
cana-1223	112	13	bilstm	bilstm	NOUN
cana-1223	112	14	(	(	PUNCT
cana-1223	112	15	asist	asist	NOUN
cana-1223	112	16	)	)	PUNCT
cana-1223	112	17	network	network	NOUN
cana-1223	112	18	for	for	ADP
cana-1223	112	19	student	student	NOUN
cana-1223	112	20	representation	representation	NOUN
cana-1223	112	21	learning	learn	VERB
cana-1223	112	22	to	to	PART
cana-1223	112	23	predict	predict	VERB
cana-1223	112	24	their	their	PRON
cana-1223	112	25	performance	performance	NOUN
cana-1223	112	26	.	.	PUNCT
cana-1223	113	1	asist	asist	NOUN
cana-1223	113	2	jointly	jointly	ADV
cana-1223	113	3	learns	learn	VERB
cana-1223	113	4	about	about	ADP
cana-1223	113	5	student	student	NOUN
cana-1223	113	6	representation	representation	NOUN
cana-1223	113	7	based	base	VERB
cana-1223	113	8	on	on	ADP
cana-1223	113	9	sequential	sequential	ADJ
cana-1223	113	10	behavior	behavior	NOUN
cana-1223	113	11	vectors	vector	NOUN
cana-1223	113	12	such	such	ADJ
cana-1223	113	13	as	as	ADP
cana-1223	113	14	student	student	NOUN
cana-1223	113	15	demographic	demographic	ADJ
cana-1223	113	16	data	datum	NOUN
cana-1223	113	17	,	,	PUNCT
cana-1223	113	18	previous	previous	ADJ
cana-1223	113	19	academic	academic	ADJ
cana-1223	113	20	performance	performance	NOUN
cana-1223	113	21	,	,	PUNCT
cana-1223	113	22	continuous	continuous	ADJ
cana-1223	113	23	assessment	assessment	NOUN
cana-1223	113	24	results	result	NOUN
cana-1223	113	25	,	,	PUNCT
cana-1223	113	26	and	and	CCONJ
cana-1223	113	27	student	student	NOUN
cana-1223	113	28	interaction	interaction	NOUN
cana-1223	113	29	with	with	ADP
cana-1223	113	30	the	the	DET
cana-1223	113	31	virtual	virtual	ADJ
cana-1223	113	32	learning	learning	NOUN
cana-1223	113	33	environment	environment	NOUN
cana-1223	113	34	.	.	PUNCT
cana-1223	114	1	it	it	PRON
cana-1223	114	2	processes	process	VERB
cana-1223	114	3	sequential	sequential	ADJ
cana-1223	114	4	behavior	behavior	NOUN
cana-1223	114	5	vectors	vector	NOUN
cana-1223	114	6	using	use	VERB
cana-1223	114	7	stacked	stack	VERB
cana-1223	114	8	bilstm	bilstm	NOUN
cana-1223	114	9	networks	network	NOUN
cana-1223	114	10	and	and	CCONJ
cana-1223	114	11	communications	communication	NOUN
cana-1223	114	12	on	on	ADP
cana-1223	114	13	applied	apply	VERB
cana-1223	114	14	nonlinear	nonlinear	ADJ
cana-1223	114	15	analysis	analysis	NOUN
cana-1223	114	16	issn	issn	NOUN
cana-1223	114	17	:	:	PUNCT
cana-1223	114	18	1074	1074	NUM
cana-1223	114	19	-	-	PUNCT
cana-1223	114	20	133x	133x	NUM
cana-1223	114	21	vol	vol	NOUN
cana-1223	114	22	31	31	NUM
cana-1223	114	23	no	no	NOUN
cana-1223	114	24	.	.	PUNCT
cana-1223	115	1	6s	6s	NUM
cana-1223	115	2	(	(	PUNCT
cana-1223	115	3	2024	2024	NUM
cana-1223	115	4	)	)	PUNCT
cana-1223	115	5	297	297	NUM
cana-1223	115	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1223	115	7	uses	use	VERB
cana-1223	115	8	the	the	DET
cana-1223	115	9	dcnn	dcnn	PROPN
cana-1223	115	10	model	model	NOUN
cana-1223	115	11	to	to	PART
cana-1223	115	12	capture	capture	VERB
cana-1223	115	13	diurnal	diurnal	ADJ
cana-1223	115	14	weekly	weekly	ADJ
cana-1223	115	15	interaction	interaction	NOUN
cana-1223	115	16	behavior	behavior	NOUN
cana-1223	115	17	.	.	PUNCT
cana-1223	116	1	additionally	additionally	ADV
cana-1223	116	2	,	,	PUNCT
cana-1223	116	3	it	it	PRON
cana-1223	116	4	employs	employ	VERB
cana-1223	116	5	an	an	DET
cana-1223	116	6	attention	attention	NOUN
cana-1223	116	7	mechanism	mechanism	NOUN
cana-1223	116	8	to	to	PART
cana-1223	116	9	assign	assign	VERB
cana-1223	116	10	weights	weight	NOUN
cana-1223	116	11	to	to	ADP
cana-1223	116	12	features	feature	NOUN
cana-1223	116	13	based	base	VERB
cana-1223	116	14	on	on	ADP
cana-1223	116	15	their	their	PRON
cana-1223	116	16	importance	importance	NOUN
cana-1223	116	17	.	.	PUNCT
cana-1223	117	1	the	the	DET
cana-1223	117	2	encoded	encode	VERB
cana-1223	117	3	feature	feature	NOUN
cana-1223	117	4	vectors	vector	NOUN
cana-1223	117	5	are	be	AUX
cana-1223	117	6	then	then	ADV
cana-1223	117	7	concatenated	concatenate	VERB
cana-1223	117	8	with	with	ADP
cana-1223	117	9	assessment	assessment	NOUN
cana-1223	117	10	information	information	NOUN
cana-1223	117	11	,	,	PUNCT
cana-1223	117	12	and	and	CCONJ
cana-1223	117	13	a	a	DET
cana-1223	117	14	softmax	softmax	NOUN
cana-1223	117	15	layer	layer	NOUN
cana-1223	117	16	predicts	predict	VERB
cana-1223	117	17	the	the	DET
cana-1223	117	18	performance	performance	NOUN
cana-1223	117	19	categories	category	NOUN
cana-1223	117	20	of	of	ADP
cana-1223	117	21	students	student	NOUN
cana-1223	117	22	.	.	PUNCT
cana-1223	118	1	however	however	ADV
cana-1223	118	2	,	,	PUNCT
cana-1223	118	3	the	the	DET
cana-1223	118	4	lack	lack	NOUN
cana-1223	118	5	of	of	ADP
cana-1223	118	6	demographic	demographic	ADJ
cana-1223	118	7	and	and	CCONJ
cana-1223	118	8	contextual	contextual	ADJ
cana-1223	118	9	factors	factor	NOUN
cana-1223	118	10	limited	limit	VERB
cana-1223	118	11	the	the	DET
cana-1223	118	12	model	model	NOUN
cana-1223	118	13	's	's	PART
cana-1223	118	14	accuracy	accuracy	NOUN
cana-1223	118	15	.	.	PUNCT
cana-1223	119	1	huang	huang	PROPN
cana-1223	119	2	and	and	CCONJ
cana-1223	119	3	zeng	zeng	PROPN
cana-1223	120	1	[	[	X
cana-1223	120	2	20	20	NUM
cana-1223	120	3	]	]	PUNCT
cana-1223	120	4	developed	develop	VERB
cana-1223	120	5	a	a	DET
cana-1223	120	6	framework	framework	NOUN
cana-1223	120	7	using	use	VERB
cana-1223	120	8	dual	dual	ADJ
cana-1223	120	9	-	-	PUNCT
cana-1223	120	10	graph	graph	NOUN
cana-1223	120	11	neural	neural	ADJ
cana-1223	120	12	network	network	NOUN
cana-1223	120	13	(	(	PUNCT
cana-1223	120	14	dgnn	dgnn	NOUN
cana-1223	120	15	)	)	PUNCT
cana-1223	120	16	to	to	PART
cana-1223	120	17	predict	predict	VERB
cana-1223	120	18	academic	academic	ADJ
cana-1223	120	19	performance	performance	NOUN
cana-1223	120	20	.	.	PUNCT
cana-1223	121	1	they	they	PRON
cana-1223	121	2	utilized	utilize	VERB
cana-1223	121	3	an	an	DET
cana-1223	121	4	interaction	interaction	NOUN
cana-1223	121	5	-	-	PUNCT
cana-1223	121	6	based	base	VERB
cana-1223	121	7	graph	graph	NOUN
cana-1223	121	8	neural	neural	ADJ
cana-1223	121	9	network	network	NOUN
cana-1223	121	10	to	to	PART
cana-1223	121	11	learn	learn	VERB
cana-1223	121	12	local	local	ADJ
cana-1223	121	13	academic	academic	ADJ
cana-1223	121	14	performance	performance	NOUN
cana-1223	121	15	representations	representation	NOUN
cana-1223	121	16	from	from	ADP
cana-1223	121	17	online	online	ADJ
cana-1223	121	18	interaction	interaction	NOUN
cana-1223	121	19	activities	activity	NOUN
cana-1223	121	20	and	and	CCONJ
cana-1223	121	21	an	an	DET
cana-1223	121	22	attribute	attribute	NOUN
cana-1223	121	23	-	-	PUNCT
cana-1223	121	24	based	base	VERB
cana-1223	121	25	graph	graph	NOUN
cana-1223	121	26	neural	neural	ADJ
cana-1223	121	27	network	network	NOUN
cana-1223	121	28	to	to	PART
cana-1223	121	29	learn	learn	VERB
cana-1223	121	30	global	global	ADJ
cana-1223	121	31	academic	academic	ADJ
cana-1223	121	32	performance	performance	NOUN
cana-1223	121	33	representations	representation	NOUN
cana-1223	121	34	from	from	ADP
cana-1223	121	35	student	student	NOUN
cana-1223	121	36	attributes	attribute	NOUN
cana-1223	121	37	.	.	PUNCT
cana-1223	122	1	they	they	PRON
cana-1223	122	2	combined	combine	VERB
cana-1223	122	3	these	these	DET
cana-1223	122	4	representations	representation	NOUN
cana-1223	122	5	to	to	PART
cana-1223	122	6	generate	generate	VERB
cana-1223	122	7	predicted	predict	VERB
cana-1223	122	8	academic	academic	ADJ
cana-1223	122	9	performances	performance	NOUN
cana-1223	122	10	.	.	PUNCT
cana-1223	123	1	however	however	ADV
cana-1223	123	2	,	,	PUNCT
cana-1223	123	3	the	the	DET
cana-1223	123	4	model	model	NOUN
cana-1223	123	5	relies	rely	VERB
cana-1223	123	6	on	on	ADP
cana-1223	123	7	the	the	DET
cana-1223	123	8	availability	availability	NOUN
cana-1223	123	9	and	and	CCONJ
cana-1223	123	10	quality	quality	NOUN
cana-1223	123	11	of	of	ADP
cana-1223	123	12	online	online	ADJ
cana-1223	123	13	learning	learn	VERB
cana-1223	123	14	logs	log	NOUN
cana-1223	123	15	,	,	PUNCT
cana-1223	123	16	which	which	PRON
cana-1223	123	17	may	may	AUX
cana-1223	123	18	vary	vary	VERB
cana-1223	123	19	across	across	ADP
cana-1223	123	20	courses	course	NOUN
cana-1223	123	21	and	and	CCONJ
cana-1223	123	22	platforms	platform	NOUN
cana-1223	123	23	.	.	PUNCT
cana-1223	124	1	while	while	SCONJ
cana-1223	124	2	it	it	PRON
cana-1223	124	3	can	can	AUX
cana-1223	124	4	handle	handle	VERB
cana-1223	124	5	dynamic	dynamic	ADJ
cana-1223	124	6	networks	network	NOUN
cana-1223	124	7	,	,	PUNCT
cana-1223	124	8	it	it	PRON
cana-1223	124	9	may	may	AUX
cana-1223	124	10	not	not	PART
cana-1223	124	11	fully	fully	ADV
cana-1223	124	12	capture	capture	VERB
cana-1223	124	13	the	the	DET
cana-1223	124	14	complexity	complexity	NOUN
cana-1223	124	15	of	of	ADP
cana-1223	124	16	student	student	NOUN
cana-1223	124	17	interactions	interaction	NOUN
cana-1223	124	18	and	and	CCONJ
cana-1223	124	19	attributes	attribute	NOUN
cana-1223	124	20	.	.	PUNCT
cana-1223	125	1	2.1	2.1	NUM
cana-1223	125	2	research	research	NOUN
cana-1223	125	3	gap	gap	NOUN
cana-1223	125	4	the	the	DET
cana-1223	125	5	literature	literature	NOUN
cana-1223	125	6	review	review	NOUN
cana-1223	125	7	highlights	highlight	VERB
cana-1223	125	8	the	the	DET
cana-1223	125	9	limitations	limitation	NOUN
cana-1223	125	10	of	of	ADP
cana-1223	125	11	single	single	ADJ
cana-1223	125	12	-	-	PUNCT
cana-1223	125	13	view	view	NOUN
cana-1223	125	14	learning	learning	NOUN
cana-1223	125	15	methods	method	NOUN
cana-1223	125	16	in	in	ADP
cana-1223	125	17	predicting	predict	VERB
cana-1223	125	18	student	student	NOUN
cana-1223	125	19	academic	academic	ADJ
cana-1223	125	20	performance	performance	NOUN
cana-1223	125	21	.	.	PUNCT
cana-1223	126	1	current	current	ADJ
cana-1223	126	2	models	model	NOUN
cana-1223	126	3	rely	rely	VERB
cana-1223	126	4	on	on	ADP
cana-1223	126	5	a	a	DET
cana-1223	126	6	single	single	ADJ
cana-1223	126	7	perspective	perspective	NOUN
cana-1223	126	8	,	,	PUNCT
cana-1223	126	9	which	which	PRON
cana-1223	126	10	can	can	AUX
cana-1223	126	11	lead	lead	VERB
cana-1223	126	12	to	to	ADP
cana-1223	126	13	reduced	reduce	VERB
cana-1223	126	14	accuracy	accuracy	NOUN
cana-1223	126	15	when	when	SCONJ
cana-1223	126	16	dealing	deal	VERB
cana-1223	126	17	with	with	ADP
cana-1223	126	18	diverse	diverse	ADJ
cana-1223	126	19	data	datum	NOUN
cana-1223	126	20	types	type	NOUN
cana-1223	126	21	like	like	ADP
cana-1223	126	22	academic	academic	ADJ
cana-1223	126	23	records	record	NOUN
cana-1223	126	24	,	,	PUNCT
cana-1223	126	25	demographic	demographic	ADJ
cana-1223	126	26	information	information	NOUN
cana-1223	126	27	,	,	PUNCT
cana-1223	126	28	and	and	CCONJ
cana-1223	126	29	physiological	physiological	ADJ
cana-1223	126	30	characteristics	characteristic	NOUN
cana-1223	126	31	on	on	ADP
cana-1223	126	32	social	social	ADJ
cana-1223	126	33	media	medium	NOUN
cana-1223	126	34	sites	site	NOUN
cana-1223	126	35	.	.	PUNCT
cana-1223	127	1	single	single	ADJ
cana-1223	127	2	-	-	PUNCT
cana-1223	127	3	view	view	NOUN
cana-1223	127	4	techniques	technique	NOUN
cana-1223	127	5	struggle	struggle	VERB
cana-1223	127	6	to	to	PART
cana-1223	127	7	incorporate	incorporate	VERB
cana-1223	127	8	temporal	temporal	ADJ
cana-1223	127	9	and	and	CCONJ
cana-1223	127	10	correlational	correlational	ADJ
cana-1223	127	11	features	feature	NOUN
cana-1223	127	12	when	when	SCONJ
cana-1223	127	13	analyzing	analyze	VERB
cana-1223	127	14	data	datum	NOUN
cana-1223	127	15	from	from	ADP
cana-1223	127	16	multiple	multiple	ADJ
cana-1223	127	17	perspectives	perspective	NOUN
cana-1223	127	18	simultaneously	simultaneously	ADV
cana-1223	127	19	.	.	PUNCT
cana-1223	128	1	this	this	DET
cana-1223	128	2	research	research	NOUN
cana-1223	128	3	gap	gap	NOUN
cana-1223	128	4	emphasizes	emphasize	VERB
cana-1223	128	5	the	the	DET
cana-1223	128	6	need	need	NOUN
cana-1223	128	7	for	for	ADP
cana-1223	128	8	multi	multi	ADJ
cana-1223	128	9	-	-	ADJ
cana-1223	128	10	view	view	ADJ
cana-1223	128	11	learning	learning	NOUN
cana-1223	128	12	strategies	strategy	NOUN
cana-1223	128	13	that	that	PRON
cana-1223	128	14	integrate	integrate	VERB
cana-1223	128	15	various	various	ADJ
cana-1223	128	16	data	datum	NOUN
cana-1223	128	17	types	type	NOUN
cana-1223	128	18	,	,	PUNCT
cana-1223	128	19	extract	extract	VERB
cana-1223	128	20	complementary	complementary	ADJ
cana-1223	128	21	features	feature	NOUN
cana-1223	128	22	from	from	ADP
cana-1223	128	23	different	different	ADJ
cana-1223	128	24	viewpoints	viewpoint	NOUN
cana-1223	128	25	,	,	PUNCT
cana-1223	128	26	capture	capture	VERB
cana-1223	128	27	intricate	intricate	ADJ
cana-1223	128	28	relationships	relationship	NOUN
cana-1223	128	29	across	across	ADP
cana-1223	128	30	multiple	multiple	ADJ
cana-1223	128	31	data	datum	NOUN
cana-1223	128	32	sources	source	NOUN
cana-1223	128	33	,	,	PUNCT
cana-1223	128	34	and	and	CCONJ
cana-1223	128	35	enhance	enhance	VERB
cana-1223	128	36	prediction	prediction	NOUN
cana-1223	128	37	accuracy	accuracy	NOUN
cana-1223	128	38	.	.	PUNCT
cana-1223	129	1	3	3	X
cana-1223	129	2	.	.	NUM
cana-1223	129	3	proposed	propose	VERB
cana-1223	129	4	methodology	methodology	NOUN
cana-1223	129	5	this	this	DET
cana-1223	129	6	section	section	NOUN
cana-1223	129	7	presents	present	VERB
cana-1223	129	8	the	the	DET
cana-1223	129	9	egan	egan	PROPN
cana-1223	129	10	-	-	PUNCT
cana-1223	129	11	isaddl	isaddl	PROPN
cana-1223	129	12	model	model	NOUN
cana-1223	129	13	to	to	PART
cana-1223	129	14	predict	predict	VERB
cana-1223	129	15	learner	learner	NOUN
cana-1223	129	16	achievements	achievement	NOUN
cana-1223	129	17	,	,	PUNCT
cana-1223	129	18	as	as	SCONJ
cana-1223	129	19	illustrated	illustrate	VERB
cana-1223	129	20	in	in	ADP
cana-1223	129	21	figure	figure	NOUN
cana-1223	129	22	1	1	NUM
cana-1223	129	23	.	.	PUNCT
cana-1223	129	24	initially	initially	ADV
cana-1223	129	25	,	,	PUNCT
cana-1223	129	26	student	student	NOUN
cana-1223	129	27	datasets	dataset	NOUN
cana-1223	129	28	are	be	AUX
cana-1223	129	29	compiled	compile	VERB
cana-1223	129	30	by	by	ADP
cana-1223	129	31	gathering	gather	VERB
cana-1223	129	32	various	various	ADJ
cana-1223	129	33	types	type	NOUN
cana-1223	129	34	of	of	ADP
cana-1223	129	35	data	datum	NOUN
cana-1223	129	36	,	,	PUNCT
cana-1223	129	37	including	include	VERB
cana-1223	129	38	academic	academic	ADJ
cana-1223	129	39	records	record	NOUN
cana-1223	129	40	,	,	PUNCT
cana-1223	129	41	demographic	demographic	ADJ
cana-1223	129	42	information	information	NOUN
cana-1223	129	43	,	,	PUNCT
cana-1223	129	44	and	and	CCONJ
cana-1223	129	45	online	online	ADJ
cana-1223	129	46	posts	post	NOUN
cana-1223	129	47	.	.	PUNCT
cana-1223	130	1	the	the	DET
cana-1223	130	2	lda	lda	PROPN
cana-1223	130	3	is	be	AUX
cana-1223	130	4	utilized	utilize	VERB
cana-1223	130	5	to	to	PART
cana-1223	130	6	extract	extract	VERB
cana-1223	130	7	physiological	physiological	ADJ
cana-1223	130	8	attributes	attribute	NOUN
cana-1223	130	9	,	,	PUNCT
cana-1223	130	10	such	such	ADJ
cana-1223	130	11	as	as	ADP
cana-1223	130	12	mood	mood	NOUN
cana-1223	130	13	changes	change	NOUN
cana-1223	130	14	and	and	CCONJ
cana-1223	130	15	mental	mental	ADJ
cana-1223	130	16	health	health	NOUN
cana-1223	130	17	,	,	PUNCT
cana-1223	130	18	from	from	ADP
cana-1223	130	19	students	student	NOUN
cana-1223	130	20	’	'	PUNCT
cana-1223	130	21	online	online	ADJ
cana-1223	130	22	posts	post	NOUN
cana-1223	130	23	.	.	PUNCT
cana-1223	131	1	subsequently	subsequently	ADV
cana-1223	131	2	,	,	PUNCT
cana-1223	131	3	all	all	DET
cana-1223	131	4	attributes	attribute	NOUN
cana-1223	131	5	are	be	AUX
cana-1223	131	6	inputted	inputte	VERB
cana-1223	131	7	into	into	ADP
cana-1223	131	8	the	the	DET
cana-1223	131	9	lstm	lstm	NOUN
cana-1223	131	10	-	-	PUNCT
cana-1223	131	11	dcnn	dcnn	VERB
cana-1223	131	12	and	and	CCONJ
cana-1223	131	13	renn	renn	PROPN
cana-1223	131	14	models	model	NOUN
cana-1223	131	15	simultaneously	simultaneously	ADV
cana-1223	131	16	to	to	PART
cana-1223	131	17	capture	capture	VERB
cana-1223	131	18	temporal	temporal	ADJ
cana-1223	131	19	and	and	CCONJ
cana-1223	131	20	correlational	correlational	ADJ
cana-1223	131	21	features	feature	NOUN
cana-1223	131	22	from	from	ADP
cana-1223	131	23	diverse	diverse	ADJ
cana-1223	131	24	perspectives	perspective	NOUN
cana-1223	131	25	.	.	PUNCT
cana-1223	132	1	these	these	DET
cana-1223	132	2	features	feature	NOUN
cana-1223	132	3	are	be	AUX
cana-1223	132	4	then	then	ADV
cana-1223	132	5	learned	learn	VERB
cana-1223	132	6	by	by	ADP
cana-1223	132	7	the	the	DET
cana-1223	132	8	multi	multi	ADJ
cana-1223	132	9	-	-	ADJ
cana-1223	132	10	view	view	ADJ
cana-1223	132	11	classifier	classifier	NOUN
cana-1223	132	12	to	to	PART
cana-1223	132	13	forecast	forecast	VERB
cana-1223	132	14	the	the	DET
cana-1223	132	15	student	student	NOUN
cana-1223	132	16	’s	’s	PART
cana-1223	132	17	academic	academic	ADJ
cana-1223	132	18	performance	performance	NOUN
cana-1223	132	19	categories	category	NOUN
cana-1223	132	20	:	:	PUNCT
cana-1223	132	21	pass	pass	VERB
cana-1223	132	22	,	,	PUNCT
cana-1223	132	23	fail	fail	ADJ
cana-1223	132	24	,	,	PUNCT
cana-1223	132	25	distinction	distinction	NOUN
cana-1223	132	26	,	,	PUNCT
cana-1223	132	27	and	and	CCONJ
cana-1223	132	28	high	high	ADJ
cana-1223	132	29	distinction	distinction	NOUN
cana-1223	132	30	.	.	PUNCT
cana-1223	133	1	figure	figure	NOUN
cana-1223	133	2	1	1	NUM
cana-1223	133	3	.	.	PUNCT
cana-1223	133	4	schematic	schematic	ADJ
cana-1223	133	5	representation	representation	NOUN
cana-1223	133	6	of	of	ADP
cana-1223	133	7	the	the	DET
cana-1223	133	8	proposed	propose	VERB
cana-1223	133	9	work	work	NOUN
cana-1223	133	10	communications	communication	NOUN
cana-1223	133	11	on	on	ADP
cana-1223	133	12	applied	apply	VERB
cana-1223	133	13	nonlinear	nonlinear	ADJ
cana-1223	133	14	analysis	analysis	NOUN
cana-1223	133	15	issn	issn	NOUN
cana-1223	133	16	:	:	PUNCT
cana-1223	133	17	1074	1074	NUM
cana-1223	133	18	-	-	PUNCT
cana-1223	133	19	133x	133x	NUM
cana-1223	133	20	vol	vol	NOUN
cana-1223	133	21	31	31	NUM
cana-1223	133	22	no	no	NOUN
cana-1223	133	23	.	.	PUNCT
cana-1223	134	1	6s	6s	NUM
cana-1223	134	2	(	(	PUNCT
cana-1223	134	3	2024	2024	NUM
cana-1223	134	4	)	)	PUNCT
cana-1223	134	5	298	298	NUM
cana-1223	134	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1223	134	7	3.1	3.1	NUM
cana-1223	134	8	dataset	dataset	NOUN
cana-1223	134	9	details	detail	NOUN
cana-1223	134	10	a	a	DET
cana-1223	134	11	dataset	dataset	NOUN
cana-1223	134	12	consisting	consist	VERB
cana-1223	134	13	of	of	ADP
cana-1223	134	14	50,000	50,000	NUM
cana-1223	134	15	data	data	NOUN
cana-1223	134	16	instances	instance	NOUN
cana-1223	134	17	has	have	AUX
cana-1223	134	18	been	be	AUX
cana-1223	134	19	curated	curate	VERB
cana-1223	134	20	by	by	ADP
cana-1223	134	21	gathering	gather	VERB
cana-1223	134	22	student	student	NOUN
cana-1223	134	23	documents	document	NOUN
cana-1223	134	24	from	from	ADP
cana-1223	134	25	both	both	PRON
cana-1223	134	26	government	government	NOUN
cana-1223	134	27	and	and	CCONJ
cana-1223	134	28	self	self	NOUN
cana-1223	134	29	-	-	PUNCT
cana-1223	134	30	financed	finance	VERB
cana-1223	134	31	engineering	engineering	NOUN
cana-1223	134	32	universities	university	NOUN
cana-1223	134	33	in	in	ADP
cana-1223	134	34	coimbatore	coimbatore	PROPN
cana-1223	134	35	,	,	PUNCT
cana-1223	134	36	tamil	tamil	PROPN
cana-1223	134	37	nadu	nadu	PROPN
cana-1223	134	38	.	.	PUNCT
cana-1223	135	1	data	datum	NOUN
cana-1223	135	2	was	be	AUX
cana-1223	135	3	collected	collect	VERB
cana-1223	135	4	between	between	ADP
cana-1223	135	5	june	june	PROPN
cana-1223	135	6	2022	2022	NUM
cana-1223	135	7	and	and	CCONJ
cana-1223	135	8	december	december	PROPN
cana-1223	135	9	2022	2022	NUM
cana-1223	135	10	.	.	PUNCT
cana-1223	136	1	this	this	DET
cana-1223	136	2	dataset	dataset	NOUN
cana-1223	136	3	comprises	comprise	VERB
cana-1223	136	4	39	39	NUM
cana-1223	136	5	attributes	attribute	NOUN
cana-1223	136	6	,	,	PUNCT
cana-1223	136	7	encompassing	encompass	VERB
cana-1223	136	8	students	student	NOUN
cana-1223	136	9	'	'	PART
cana-1223	136	10	name	name	NOUN
cana-1223	136	11	,	,	PUNCT
cana-1223	136	12	age	age	NOUN
cana-1223	136	13	,	,	PUNCT
cana-1223	136	14	sex	sex	NOUN
cana-1223	136	15	,	,	PUNCT
cana-1223	136	16	programs	program	NOUN
cana-1223	136	17	,	,	PUNCT
cana-1223	136	18	types	type	NOUN
cana-1223	136	19	of	of	ADP
cana-1223	136	20	college	college	NOUN
cana-1223	136	21	(	(	PUNCT
cana-1223	136	22	medical	medical	ADJ
cana-1223	136	23	or	or	CCONJ
cana-1223	136	24	engineering	engineering	NOUN
cana-1223	136	25	and	and	CCONJ
cana-1223	136	26	government	government	NOUN
cana-1223	136	27	or	or	CCONJ
cana-1223	136	28	selffinanced	selffinance	VERB
cana-1223	136	29	)	)	PUNCT
cana-1223	136	30	,	,	PUNCT
cana-1223	136	31	locality	locality	NOUN
cana-1223	136	32	,	,	PUNCT
cana-1223	136	33	family	family	NOUN
cana-1223	136	34	type	type	NOUN
cana-1223	136	35	(	(	PUNCT
cana-1223	136	36	nuclear	nuclear	ADJ
cana-1223	136	37	or	or	CCONJ
cana-1223	136	38	joint	joint	ADJ
cana-1223	136	39	)	)	PUNCT
cana-1223	136	40	,	,	PUNCT
cana-1223	136	41	family	family	NOUN
cana-1223	136	42	traits	trait	NOUN
cana-1223	136	43	such	such	ADJ
cana-1223	136	44	as	as	ADP
cana-1223	136	45	profession	profession	NOUN
cana-1223	136	46	and	and	CCONJ
cana-1223	136	47	qualification	qualification	NOUN
cana-1223	136	48	of	of	ADP
cana-1223	136	49	family	family	NOUN
cana-1223	136	50	members	member	NOUN
cana-1223	136	51	,	,	PUNCT
cana-1223	136	52	time	time	NOUN
cana-1223	136	53	spent	spend	VERB
cana-1223	136	54	watching	watch	VERB
cana-1223	136	55	tv	tv	NOUN
cana-1223	136	56	,	,	PUNCT
cana-1223	136	57	college	college	NOUN
cana-1223	136	58	traits	trait	NOUN
cana-1223	136	59	,	,	PUNCT
cana-1223	136	60	economic	economic	ADJ
cana-1223	136	61	traits	trait	NOUN
cana-1223	136	62	,	,	PUNCT
cana-1223	136	63	social	social	ADJ
cana-1223	136	64	traits	trait	NOUN
cana-1223	136	65	,	,	PUNCT
cana-1223	136	66	electrical	electrical	ADJ
cana-1223	136	67	appliances	appliance	NOUN
cana-1223	136	68	,	,	PUNCT
cana-1223	136	69	individual	individual	ADJ
cana-1223	136	70	traits	trait	NOUN
cana-1223	136	71	,	,	PUNCT
cana-1223	136	72	and	and	CCONJ
cana-1223	136	73	learning	learn	VERB
cana-1223	136	74	traits	trait	NOUN
cana-1223	136	75	.	.	PUNCT
cana-1223	137	1	locality	locality	NOUN
cana-1223	137	2	elements	element	NOUN
cana-1223	137	3	refer	refer	VERB
cana-1223	137	4	to	to	ADP
cana-1223	137	5	the	the	DET
cana-1223	137	6	geographical	geographical	ADJ
cana-1223	137	7	positioning	positioning	NOUN
cana-1223	137	8	of	of	ADP
cana-1223	137	9	students	student	NOUN
cana-1223	137	10	'	'	PART
cana-1223	137	11	residences	residence	NOUN
cana-1223	137	12	,	,	PUNCT
cana-1223	137	13	educational	educational	ADJ
cana-1223	137	14	institutions	institution	NOUN
cana-1223	137	15	,	,	PUNCT
cana-1223	137	16	and	and	CCONJ
cana-1223	137	17	universities	university	NOUN
cana-1223	137	18	,	,	PUNCT
cana-1223	137	19	which	which	PRON
cana-1223	137	20	include	include	VERB
cana-1223	137	21	rural	rural	ADJ
cana-1223	137	22	,	,	PUNCT
cana-1223	137	23	urban	urban	ADJ
cana-1223	137	24	,	,	PUNCT
cana-1223	137	25	or	or	CCONJ
cana-1223	137	26	semiurban	semiurban	ADJ
cana-1223	137	27	settings	setting	NOUN
cana-1223	137	28	.	.	PUNCT
cana-1223	138	1	college	college	NOUN
cana-1223	138	2	traits	trait	NOUN
cana-1223	138	3	include	include	VERB
cana-1223	138	4	study	study	NOUN
cana-1223	138	5	resources	resource	NOUN
cana-1223	138	6	such	such	ADJ
cana-1223	138	7	as	as	ADP
cana-1223	138	8	lecture	lecture	NOUN
cana-1223	138	9	notes	note	NOUN
cana-1223	138	10	and	and	CCONJ
cana-1223	138	11	books	book	NOUN
cana-1223	138	12	,	,	PUNCT
cana-1223	138	13	teaching	teaching	NOUN
cana-1223	138	14	methodologies	methodology	NOUN
cana-1223	138	15	,	,	PUNCT
cana-1223	138	16	class	class	NOUN
cana-1223	138	17	sizes	size	NOUN
cana-1223	138	18	,	,	PUNCT
cana-1223	138	19	smartphone	smartphone	NOUN
cana-1223	138	20	usage	usage	NOUN
cana-1223	138	21	policies	policy	NOUN
cana-1223	138	22	,	,	PUNCT
cana-1223	138	23	and	and	CCONJ
cana-1223	138	24	other	other	ADJ
cana-1223	138	25	related	related	ADJ
cana-1223	138	26	factors	factor	NOUN
cana-1223	138	27	.	.	PUNCT
cana-1223	139	1	social	social	ADJ
cana-1223	139	2	traits	trait	NOUN
cana-1223	139	3	include	include	VERB
cana-1223	139	4	parental	parental	ADJ
cana-1223	139	5	guidance	guidance	NOUN
cana-1223	139	6	for	for	ADP
cana-1223	139	7	homework	homework	NOUN
cana-1223	139	8	,	,	PUNCT
cana-1223	139	9	the	the	DET
cana-1223	139	10	number	number	NOUN
cana-1223	139	11	of	of	ADP
cana-1223	139	12	friends	friend	NOUN
cana-1223	139	13	,	,	PUNCT
cana-1223	139	14	and	and	CCONJ
cana-1223	139	15	academic	academic	ADJ
cana-1223	139	16	achievements	achievement	NOUN
cana-1223	139	17	.	.	PUNCT
cana-1223	140	1	furthermore	furthermore	ADV
cana-1223	140	2	,	,	PUNCT
cana-1223	140	3	there	there	PRON
cana-1223	140	4	exists	exist	VERB
cana-1223	140	5	an	an	DET
cana-1223	140	6	additional	additional	ADJ
cana-1223	140	7	dataset	dataset	NOUN
cana-1223	140	8	comprising	comprising	NOUN
cana-1223	140	9	diverse	diverse	ADJ
cana-1223	140	10	information	information	NOUN
cana-1223	140	11	disclosed	disclose	VERB
cana-1223	140	12	by	by	ADP
cana-1223	140	13	15,000	15,000	NUM
cana-1223	140	14	students	student	NOUN
cana-1223	140	15	regarding	regard	VERB
cana-1223	140	16	their	their	PRON
cana-1223	140	17	educational	educational	ADJ
cana-1223	140	18	aptitudes	aptitude	NOUN
cana-1223	140	19	on	on	ADP
cana-1223	140	20	twitter	twitter	NOUN
cana-1223	140	21	,	,	PUNCT
cana-1223	140	22	facebook	facebook	NOUN
cana-1223	140	23	,	,	PUNCT
cana-1223	140	24	and	and	CCONJ
cana-1223	140	25	instagram	instagram	PROPN
cana-1223	140	26	.	.	PUNCT
cana-1223	141	1	next	next	ADV
cana-1223	141	2	,	,	PUNCT
cana-1223	141	3	the	the	DET
cana-1223	141	4	dataset	dataset	NOUN
cana-1223	141	5	undergoes	undergoe	NOUN
cana-1223	141	6	pre	pre	ADJ
cana-1223	141	7	-	-	ADJ
cana-1223	141	8	processing	processing	ADJ
cana-1223	141	9	using	use	VERB
cana-1223	141	10	several	several	ADJ
cana-1223	141	11	nlp	nlp	ADJ
cana-1223	141	12	approaches	approach	NOUN
cana-1223	141	13	[	[	X
cana-1223	141	14	8	8	NUM
cana-1223	141	15	]	]	PUNCT
cana-1223	141	16	to	to	PART
cana-1223	141	17	exclude	exclude	VERB
cana-1223	141	18	undesirable	undesirable	ADJ
cana-1223	141	19	data	datum	NOUN
cana-1223	141	20	.	.	PUNCT
cana-1223	142	1	the	the	DET
cana-1223	142	2	egan	egan	PROPN
cana-1223	142	3	model	model	NOUN
cana-1223	142	4	is	be	AUX
cana-1223	142	5	used	use	VERB
cana-1223	142	6	to	to	PART
cana-1223	142	7	generate	generate	VERB
cana-1223	142	8	synthetic	synthetic	ADJ
cana-1223	142	9	student	student	NOUN
cana-1223	142	10	data	datum	NOUN
cana-1223	142	11	by	by	ADP
cana-1223	142	12	combining	combine	VERB
cana-1223	142	13	divgan	divgan	NOUN
cana-1223	142	14	and	and	CCONJ
cana-1223	142	15	suc	suc	PROPN
cana-1223	142	16	-	-	PUNCT
cana-1223	142	17	gan	gin	VERB
cana-1223	143	1	[	[	X
cana-1223	143	2	9	9	NUM
cana-1223	143	3	]	]	PUNCT
cana-1223	143	4	.	.	PUNCT
cana-1223	144	1	it	it	PRON
cana-1223	144	2	generates	generate	VERB
cana-1223	144	3	30,000	30,000	NUM
cana-1223	144	4	data	datum	NOUN
cana-1223	144	5	instances	instance	NOUN
cana-1223	144	6	for	for	ADP
cana-1223	144	7	the	the	DET
cana-1223	144	8	student	student	NOUN
cana-1223	144	9	dataset	dataset	NOUN
cana-1223	144	10	and	and	CCONJ
cana-1223	144	11	50,000	50,000	NUM
cana-1223	144	12	for	for	ADP
cana-1223	144	13	the	the	DET
cana-1223	144	14	social	social	ADJ
cana-1223	144	15	media	medium	NOUN
cana-1223	144	16	dataset	dataset	NOUN
cana-1223	144	17	.	.	PUNCT
cana-1223	145	1	this	this	PRON
cana-1223	145	2	produces	produce	VERB
cana-1223	145	3	an	an	DET
cana-1223	145	4	augmented	augment	VERB
cana-1223	145	5	student	student	NOUN
cana-1223	145	6	dataset	dataset	VERB
cana-1223	145	7	with	with	ADP
cana-1223	145	8	80,000	80,000	NUM
cana-1223	145	9	instances	instance	NOUN
cana-1223	145	10	and	and	CCONJ
cana-1223	145	11	a	a	DET
cana-1223	145	12	social	social	ADJ
cana-1223	145	13	media	medium	NOUN
cana-1223	145	14	dataset	dataset	VERB
cana-1223	145	15	with	with	ADP
cana-1223	145	16	65,000	65,000	NUM
cana-1223	145	17	instances	instance	NOUN
cana-1223	145	18	.	.	PUNCT
cana-1223	146	1	the	the	DET
cana-1223	146	2	lda	lda	PROPN
cana-1223	146	3	feature	feature	NOUN
cana-1223	146	4	extraction	extraction	NOUN
cana-1223	146	5	method	method	NOUN
cana-1223	146	6	is	be	AUX
cana-1223	146	7	then	then	ADV
cana-1223	146	8	applied	apply	VERB
cana-1223	146	9	to	to	PART
cana-1223	146	10	extract	extract	VERB
cana-1223	146	11	physiological	physiological	ADJ
cana-1223	146	12	features	feature	NOUN
cana-1223	146	13	related	relate	VERB
cana-1223	146	14	to	to	ADP
cana-1223	146	15	the	the	DET
cana-1223	146	16	student	student	NOUN
cana-1223	146	17	's	's	PART
cana-1223	146	18	mental	mental	ADJ
cana-1223	146	19	health	health	NOUN
cana-1223	146	20	and	and	CCONJ
cana-1223	146	21	mood	mood	NOUN
cana-1223	146	22	changes	change	NOUN
cana-1223	146	23	from	from	ADP
cana-1223	146	24	the	the	DET
cana-1223	146	25	online	online	ADJ
cana-1223	146	26	information	information	NOUN
cana-1223	146	27	dataset	dataset	VERB
cana-1223	147	1	[	[	X
cana-1223	147	2	8	8	NUM
cana-1223	147	3	]	]	SYM
cana-1223	147	4	.	.	PUNCT
cana-1223	148	1	3.2	3.2	NUM
cana-1223	148	2	multi	multi	ADJ
cana-1223	148	3	-	-	ADJ
cana-1223	148	4	view	view	ADJ
cana-1223	148	5	distinctive	distinctive	ADJ
cana-1223	148	6	deep	deep	ADJ
cana-1223	148	7	learning	learning	NOUN
cana-1223	148	8	model	model	NOUN
cana-1223	148	9	for	for	ADP
cana-1223	148	10	student	student	NOUN
cana-1223	148	11	accomplishment	accomplishment	NOUN
cana-1223	148	12	prediction	prediction	NOUN
cana-1223	148	13	the	the	DET
cana-1223	148	14	proposed	propose	VERB
cana-1223	148	15	multi	multi	ADJ
cana-1223	148	16	-	-	ADJ
cana-1223	148	17	view	view	ADJ
cana-1223	148	18	deep	deep	ADJ
cana-1223	148	19	network	network	NOUN
cana-1223	148	20	consists	consist	VERB
cana-1223	148	21	of	of	ADP
cana-1223	148	22	three	three	NUM
cana-1223	148	23	main	main	ADJ
cana-1223	148	24	components	component	NOUN
cana-1223	148	25	.	.	PUNCT
cana-1223	149	1	initially	initially	ADV
cana-1223	149	2	,	,	PUNCT
cana-1223	149	3	feature	feature	NOUN
cana-1223	149	4	extractors	extractor	NOUN
cana-1223	149	5	such	such	ADJ
cana-1223	149	6	as	as	ADP
cana-1223	149	7	lstm	lstm	NOUN
cana-1223	149	8	-	-	PUNCT
cana-1223	149	9	dcnn	dcnn	ADJ
cana-1223	149	10	and	and	CCONJ
cana-1223	149	11	renn	renn	PROPN
cana-1223	149	12	simultaneously	simultaneously	ADV
cana-1223	149	13	process	process	VERB
cana-1223	149	14	the	the	DET
cana-1223	149	15	input	input	NOUN
cana-1223	149	16	data	datum	NOUN
cana-1223	149	17	.	.	PUNCT
cana-1223	150	1	next	next	ADV
cana-1223	150	2	,	,	PUNCT
cana-1223	150	3	the	the	DET
cana-1223	150	4	extracted	extract	VERB
cana-1223	150	5	intermediate	intermediate	ADJ
cana-1223	150	6	representations	representation	NOUN
cana-1223	150	7	from	from	ADP
cana-1223	150	8	both	both	DET
cana-1223	150	9	deep	deep	ADJ
cana-1223	150	10	learning	learning	NOUN
cana-1223	150	11	models	model	NOUN
cana-1223	150	12	are	be	AUX
cana-1223	150	13	inputted	inputte	VERB
cana-1223	150	14	into	into	ADP
cana-1223	150	15	a	a	DET
cana-1223	150	16	multi	multi	ADJ
cana-1223	150	17	-	-	ADJ
cana-1223	150	18	view	view	ADJ
cana-1223	150	19	classifier	classifier	NOUN
cana-1223	150	20	as	as	ADP
cana-1223	150	21	two	two	NUM
cana-1223	150	22	distinct	distinct	ADJ
cana-1223	150	23	feature	feature	NOUN
cana-1223	150	24	sets	set	NOUN
cana-1223	150	25	for	for	ADP
cana-1223	150	26	predicting	predict	VERB
cana-1223	150	27	students	student	NOUN
cana-1223	150	28	’	'	PUNCT
cana-1223	150	29	academic	academic	ADJ
cana-1223	150	30	performance	performance	NOUN
cana-1223	150	31	.	.	PUNCT
cana-1223	151	1	figure	figure	NOUN
cana-1223	151	2	2	2	NUM
cana-1223	151	3	illustrates	illustrate	VERB
cana-1223	151	4	the	the	DET
cana-1223	151	5	overall	overall	ADJ
cana-1223	151	6	structure	structure	NOUN
cana-1223	151	7	of	of	ADP
cana-1223	151	8	the	the	DET
cana-1223	151	9	proposed	propose	VERB
cana-1223	151	10	model	model	NOUN
cana-1223	151	11	.	.	PUNCT
cana-1223	152	1	figure	figure	NOUN
cana-1223	152	2	2	2	NUM
cana-1223	152	3	.	.	PUNCT
cana-1223	152	4	overall	overall	ADJ
cana-1223	152	5	architecture	architecture	NOUN
cana-1223	152	6	of	of	ADP
cana-1223	152	7	proposed	propose	VERB
cana-1223	152	8	model	model	NOUN
cana-1223	152	9	3.2.1	3.2.1	NUM
cana-1223	152	10	extracting	extracting	NOUN
cana-1223	152	11	features	feature	NOUN
cana-1223	152	12	from	from	ADP
cana-1223	152	13	lstm	lstm	NOUN
cana-1223	152	14	-	-	PUNCT
cana-1223	152	15	dcnn	dcnn	ADJ
cana-1223	152	16	to	to	PART
cana-1223	152	17	produce	produce	VERB
cana-1223	152	18	temporal	temporal	ADJ
cana-1223	152	19	correlation	correlation	NOUN
cana-1223	152	20	features	feature	NOUN
cana-1223	152	21	from	from	ADP
cana-1223	152	22	the	the	DET
cana-1223	152	23	input	input	NOUN
cana-1223	152	24	data	datum	NOUN
cana-1223	152	25	,	,	PUNCT
cana-1223	152	26	the	the	DET
cana-1223	152	27	lstm	lstm	NOUN
cana-1223	152	28	-	-	PUNCT
cana-1223	152	29	dcnn	dcnn	PROPN
cana-1223	152	30	is	be	AUX
cana-1223	152	31	applied	apply	VERB
cana-1223	152	32	[	[	PUNCT
cana-1223	152	33	8	8	NUM
cana-1223	152	34	]	]	PUNCT
cana-1223	152	35	.	.	PUNCT
cana-1223	153	1	the	the	DET
cana-1223	153	2	proposed	propose	VERB
cana-1223	153	3	model	model	NOUN
cana-1223	153	4	utilizes	utilize	VERB
cana-1223	153	5	extracted	extract	VERB
cana-1223	153	6	intermediate	intermediate	ADJ
cana-1223	153	7	variables	variable	NOUN
cana-1223	153	8	as	as	ADP
cana-1223	153	9	individual	individual	ADJ
cana-1223	153	10	views	view	NOUN
cana-1223	153	11	instead	instead	ADV
cana-1223	153	12	of	of	ADP
cana-1223	153	13	passing	pass	VERB
cana-1223	153	14	output	output	NOUN
cana-1223	153	15	features	feature	NOUN
cana-1223	153	16	to	to	ADP
cana-1223	153	17	a	a	DET
cana-1223	153	18	perceptron	perceptron	PROPN
cana-1223	153	19	.	.	PUNCT
cana-1223	154	1	this	this	DET
cana-1223	154	2	approach	approach	NOUN
cana-1223	154	3	is	be	AUX
cana-1223	154	4	based	base	VERB
cana-1223	154	5	on	on	ADP
cana-1223	154	6	the	the	DET
cana-1223	154	7	idea	idea	NOUN
cana-1223	154	8	that	that	SCONJ
cana-1223	154	9	these	these	DET
cana-1223	154	10	variables	variable	NOUN
cana-1223	154	11	capture	capture	VERB
cana-1223	154	12	the	the	DET
cana-1223	154	13	most	most	ADJ
cana-1223	154	14	characteristics	characteristic	NOUN
cana-1223	154	15	from	from	ADP
cana-1223	154	16	the	the	DET
cana-1223	154	17	lstm	lstm	NOUN
cana-1223	154	18	-	-	PUNCT
cana-1223	154	19	dcnn	dcnn	ADJ
cana-1223	154	20	.	.	PUNCT
cana-1223	155	1	by	by	ADP
cana-1223	155	2	treating	treat	VERB
cana-1223	155	3	these	these	DET
cana-1223	155	4	variables	variable	NOUN
cana-1223	155	5	as	as	ADP
cana-1223	155	6	separate	separate	ADJ
cana-1223	155	7	views	view	NOUN
cana-1223	155	8	,	,	PUNCT
cana-1223	155	9	the	the	DET
cana-1223	155	10	efficiency	efficiency	NOUN
cana-1223	155	11	of	of	ADP
cana-1223	155	12	perceptron	perceptron	PROPN
cana-1223	155	13	can	can	AUX
cana-1223	155	14	be	be	AUX
cana-1223	155	15	leveraged	leverage	VERB
cana-1223	155	16	for	for	ADP
cana-1223	155	17	basic	basic	ADJ
cana-1223	155	18	linear	linear	PROPN
cana-1223	155	19	calculations	calculation	NOUN
cana-1223	155	20	,	,	PUNCT
cana-1223	155	21	making	make	VERB
cana-1223	155	22	them	they	PRON
cana-1223	155	23	suitable	suitable	ADJ
cana-1223	155	24	features	feature	NOUN
cana-1223	155	25	for	for	ADP
cana-1223	155	26	communications	communication	NOUN
cana-1223	155	27	on	on	ADP
cana-1223	155	28	applied	apply	VERB
cana-1223	155	29	nonlinear	nonlinear	ADJ
cana-1223	155	30	analysis	analysis	NOUN
cana-1223	155	31	issn	issn	NOUN
cana-1223	155	32	:	:	PUNCT
cana-1223	155	33	1074	1074	NUM
cana-1223	155	34	-	-	PUNCT
cana-1223	155	35	133x	133x	NUM
cana-1223	155	36	vol	vol	NOUN
cana-1223	155	37	31	31	NUM
cana-1223	155	38	no	no	NOUN
cana-1223	155	39	.	.	PUNCT
cana-1223	156	1	6s	6s	NUM
cana-1223	156	2	(	(	PUNCT
cana-1223	156	3	2024	2024	NUM
cana-1223	156	4	)	)	PUNCT
cana-1223	156	5	299	299	NUM
cana-1223	156	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1223	156	7	classification	classification	NOUN
cana-1223	156	8	.	.	PUNCT
cana-1223	157	1	in	in	ADP
cana-1223	157	2	subsequent	subsequent	ADJ
cana-1223	157	3	steps	step	NOUN
cana-1223	157	4	,	,	PUNCT
cana-1223	157	5	supervised	supervise	VERB
cana-1223	157	6	multi	multi	ADJ
cana-1223	157	7	-	-	ADJ
cana-1223	157	8	view	view	ADJ
cana-1223	157	9	classifiers	classifier	NOUN
cana-1223	157	10	train	train	VERB
cana-1223	157	11	these	these	DET
cana-1223	157	12	intermediate	intermediate	ADJ
cana-1223	157	13	variables	variable	NOUN
cana-1223	157	14	as	as	ADP
cana-1223	157	15	the	the	DET
cana-1223	157	16	initial	initial	ADJ
cana-1223	157	17	view	view	NOUN
cana-1223	157	18	.	.	PUNCT
cana-1223	158	1	3.2.2	3.2.2	NUM
cana-1223	158	2	extracting	extract	VERB
cana-1223	158	3	features	feature	NOUN
cana-1223	158	4	from	from	ADP
cana-1223	158	5	renn	renn	PROPN
cana-1223	158	6	the	the	DET
cana-1223	158	7	proposed	propose	VERB
cana-1223	158	8	renn	renn	PROPN
cana-1223	158	9	model	model	PROPN
cana-1223	158	10	enhances	enhance	VERB
cana-1223	158	11	the	the	DET
cana-1223	158	12	standard	standard	ADJ
cana-1223	158	13	renn	renn	PROPN
cana-1223	158	14	by	by	ADP
cana-1223	158	15	incorporating	incorporate	VERB
cana-1223	158	16	a	a	DET
cana-1223	158	17	nested	nested	ADJ
cana-1223	158	18	neural	neural	ADJ
cana-1223	158	19	layer	layer	NOUN
cana-1223	158	20	to	to	PART
cana-1223	158	21	compute	compute	VERB
cana-1223	158	22	a	a	DET
cana-1223	158	23	new	new	ADJ
cana-1223	158	24	feature	feature	NOUN
cana-1223	158	25	for	for	ADP
cana-1223	158	26	the	the	DET
cana-1223	158	27	parent	parent	NOUN
cana-1223	158	28	vector	vector	NOUN
cana-1223	158	29	.	.	PUNCT
cana-1223	159	1	this	this	DET
cana-1223	159	2	new	new	ADJ
cana-1223	159	3	feature	feature	NOUN
cana-1223	159	4	,	,	PUNCT
cana-1223	159	5	combined	combine	VERB
cana-1223	159	6	with	with	ADP
cana-1223	159	7	the	the	DET
cana-1223	159	8	children	child	NOUN
cana-1223	159	9	's	's	PART
cana-1223	159	10	vectors	vector	NOUN
cana-1223	159	11	,	,	PUNCT
cana-1223	159	12	forms	form	VERB
cana-1223	159	13	the	the	DET
cana-1223	159	14	parent	parent	NOUN
cana-1223	159	15	's	's	PART
cana-1223	159	16	vector	vector	NOUN
cana-1223	159	17	representation	representation	NOUN
cana-1223	159	18	.	.	PUNCT
cana-1223	160	1	each	each	DET
cana-1223	160	2	node	node	NOUN
cana-1223	160	3	uses	use	VERB
cana-1223	160	4	a	a	DET
cana-1223	160	5	softmax	softmax	NOUN
cana-1223	160	6	classifier	classifier	NOUN
cana-1223	160	7	to	to	PART
cana-1223	160	8	predict	predict	VERB
cana-1223	160	9	its	its	PRON
cana-1223	160	10	label	label	NOUN
cana-1223	160	11	.	.	PUNCT
cana-1223	161	1	consider	consider	VERB
cana-1223	161	2	𝑉𝑐1	𝑉𝑐1	NOUN
cana-1223	161	3	and	and	CCONJ
cana-1223	161	4	𝑉𝑐2	𝑉𝑐2	NOUN
cana-1223	161	5	are	be	AUX
cana-1223	161	6	children	child	NOUN
cana-1223	161	7	’s	’s	PART
cana-1223	161	8	vectors	vector	NOUN
cana-1223	161	9	and	and	CCONJ
cana-1223	161	10	𝑉𝑚	𝑉𝑚	PROPN
cana-1223	161	11	is	be	AUX
cana-1223	161	12	the	the	DET
cana-1223	161	13	new	new	ADJ
cana-1223	161	14	feature	feature	NOUN
cana-1223	161	15	that	that	PRON
cana-1223	161	16	is	be	AUX
cana-1223	161	17	calculated	calculate	VERB
cana-1223	161	18	by	by	ADP
cana-1223	161	19	𝑉𝑚	𝑉𝑚	PROPN
cana-1223	161	20	=	=	SYM
cana-1223	161	21	𝑓	𝑓	PROPN
cana-1223	161	22	(	(	PUNCT
cana-1223	161	23	𝑤1	𝑤1	VERB
cana-1223	161	24	[	[	PUNCT
cana-1223	161	25	𝑉𝑐1	𝑉𝑐1	NOUN
cana-1223	161	26	𝑉𝑐2	𝑉𝑐2	VERB
cana-1223	161	27	]	]	PUNCT
cana-1223	162	1	=	=	PUNCT
cana-1223	162	2	𝑏	𝑏	NOUN
cana-1223	162	3	)	)	PUNCT
cana-1223	162	4	.	.	PUNCT
cana-1223	163	1	so	so	ADV
cana-1223	163	2	,	,	PUNCT
cana-1223	163	3	𝑉𝑝	𝑉𝑝	PROPN
cana-1223	163	4	is	be	AUX
cana-1223	163	5	the	the	DET
cana-1223	163	6	parent	parent	NOUN
cana-1223	163	7	vector	vector	NOUN
cana-1223	163	8	and	and	CCONJ
cana-1223	163	9	calculated	calculate	VERB
cana-1223	163	10	by	by	ADP
cana-1223	163	11	𝑉𝑝	𝑉𝑝	PROPN
cana-1223	163	12	=	=	SYM
cana-1223	163	13	𝑓	𝑓	PROPN
cana-1223	163	14	(	(	PUNCT
cana-1223	163	15	𝑤2	𝑤2	NOUN
cana-1223	163	16	[	[	PUNCT
cana-1223	163	17	𝑉𝑐1	𝑉𝑐1	NOUN
cana-1223	163	18	𝑉𝑐2	𝑉𝑐2	VERB
cana-1223	163	19	𝑉𝑚	𝑉𝑚	PROPN
cana-1223	163	20	]	]	PUNCT
cana-1223	163	21	=	=	PUNCT
cana-1223	163	22	𝑏	𝑏	NOUN
cana-1223	163	23	)	)	PUNCT
cana-1223	163	24	.	.	PUNCT
cana-1223	164	1	in	in	ADP
cana-1223	164	2	this	this	DET
cana-1223	164	3	stage	stage	NOUN
cana-1223	164	4	,	,	PUNCT
cana-1223	164	5	the	the	DET
cana-1223	164	6	extracted	extract	VERB
cana-1223	164	7	intermediate	intermediate	ADJ
cana-1223	164	8	features	feature	NOUN
cana-1223	164	9	represent	represent	VERB
cana-1223	164	10	the	the	DET
cana-1223	164	11	most	most	ADV
cana-1223	164	12	significant	significant	ADJ
cana-1223	164	13	characteristics	characteristic	NOUN
cana-1223	164	14	.	.	PUNCT
cana-1223	165	1	in	in	ADP
cana-1223	165	2	the	the	DET
cana-1223	165	3	next	next	ADJ
cana-1223	165	4	steps	step	NOUN
cana-1223	165	5	,	,	PUNCT
cana-1223	165	6	supervised	supervise	VERB
cana-1223	165	7	multi	multi	ADJ
cana-1223	165	8	-	-	ADJ
cana-1223	165	9	view	view	ADJ
cana-1223	165	10	classifiers	classifier	NOUN
cana-1223	165	11	will	will	AUX
cana-1223	165	12	train	train	VERB
cana-1223	165	13	these	these	DET
cana-1223	165	14	features	feature	NOUN
cana-1223	165	15	as	as	ADP
cana-1223	165	16	a	a	DET
cana-1223	165	17	second	second	ADJ
cana-1223	165	18	exclusive	exclusive	ADJ
cana-1223	165	19	view	view	NOUN
cana-1223	165	20	.	.	PUNCT
cana-1223	166	1	3.2.3	3.2.3	NUM
cana-1223	166	2	multi	multi	ADJ
cana-1223	166	3	-	-	ADJ
cana-1223	166	4	view	view	ADJ
cana-1223	166	5	classification	classification	NOUN
cana-1223	166	6	the	the	DET
cana-1223	166	7	intermediate	intermediate	ADJ
cana-1223	166	8	features	feature	NOUN
cana-1223	166	9	extracted	extract	VERB
cana-1223	166	10	from	from	ADP
cana-1223	166	11	previous	previous	ADJ
cana-1223	166	12	layers	layer	NOUN
cana-1223	166	13	are	be	AUX
cana-1223	166	14	treated	treat	VERB
cana-1223	166	15	as	as	ADP
cana-1223	166	16	two	two	NUM
cana-1223	166	17	distinct	distinct	ADJ
cana-1223	166	18	views	view	NOUN
cana-1223	166	19	.	.	PUNCT
cana-1223	167	1	this	this	PRON
cana-1223	167	2	enables	enable	VERB
cana-1223	167	3	the	the	DET
cana-1223	167	4	training	training	NOUN
cana-1223	167	5	of	of	ADP
cana-1223	167	6	the	the	DET
cana-1223	167	7	multi	multi	ADJ
cana-1223	167	8	-	-	ADJ
cana-1223	167	9	view	view	ADJ
cana-1223	167	10	classifier	classifier	NOUN
cana-1223	167	11	on	on	ADP
cana-1223	167	12	student	student	NOUN
cana-1223	167	13	documents	document	NOUN
cana-1223	167	14	and	and	CCONJ
cana-1223	167	15	their	their	PRON
cana-1223	167	16	academic	academic	ADJ
cana-1223	167	17	performance	performance	NOUN
cana-1223	167	18	labels	label	NOUN
cana-1223	167	19	from	from	ADP
cana-1223	167	20	various	various	ADJ
cana-1223	167	21	viewpoints	viewpoint	NOUN
cana-1223	167	22	.	.	PUNCT
cana-1223	168	1	by	by	ADP
cana-1223	168	2	leveraging	leverage	VERB
cana-1223	168	3	the	the	DET
cana-1223	168	4	heterogeneous	heterogeneous	ADJ
cana-1223	168	5	properties	property	NOUN
cana-1223	168	6	of	of	ADP
cana-1223	168	7	the	the	DET
cana-1223	168	8	dataset	dataset	NOUN
cana-1223	168	9	through	through	ADP
cana-1223	168	10	multi	multi	ADJ
cana-1223	168	11	-	-	ADJ
cana-1223	168	12	view	view	ADJ
cana-1223	168	13	learning	learning	NOUN
cana-1223	168	14	,	,	PUNCT
cana-1223	168	15	a	a	DET
cana-1223	168	16	function	function	NOUN
cana-1223	168	17	can	can	AUX
cana-1223	168	18	be	be	AUX
cana-1223	168	19	learned	learn	VERB
cana-1223	168	20	on	on	ADP
cana-1223	168	21	each	each	DET
cana-1223	168	22	view	view	NOUN
cana-1223	168	23	and	and	CCONJ
cana-1223	168	24	trained	train	VERB
cana-1223	168	25	jointly	jointly	ADV
cana-1223	168	26	to	to	PART
cana-1223	168	27	improve	improve	VERB
cana-1223	168	28	overall	overall	ADJ
cana-1223	168	29	performance	performance	NOUN
cana-1223	168	30	.	.	PUNCT
cana-1223	169	1	the	the	DET
cana-1223	169	2	soft	soft	ADJ
cana-1223	169	3	margin	margin	NOUN
cana-1223	169	4	consistency	consistency	NOUN
cana-1223	169	5	-	-	PUNCT
cana-1223	169	6	based	base	VERB
cana-1223	169	7	multi	multi	ADJ
cana-1223	169	8	-	-	ADJ
cana-1223	169	9	view	view	ADJ
cana-1223	169	10	maximum	maximum	ADJ
cana-1223	169	11	entropy	entropy	NOUN
cana-1223	169	12	discrimination	discrimination	NOUN
cana-1223	169	13	(	(	PUNCT
cana-1223	169	14	smvmed	smvmed	ADJ
cana-1223	169	15	)	)	PUNCT
cana-1223	169	16	algorithm	algorithm	NOUN
cana-1223	169	17	is	be	AUX
cana-1223	169	18	selected	select	VERB
cana-1223	169	19	for	for	ADP
cana-1223	169	20	multi	multi	ADJ
cana-1223	169	21	-	-	ADJ
cana-1223	169	22	view	view	ADJ
cana-1223	169	23	classification	classification	NOUN
cana-1223	169	24	in	in	ADP
cana-1223	169	25	this	this	DET
cana-1223	169	26	context	context	NOUN
cana-1223	169	27	.	.	PUNCT
cana-1223	170	1	the	the	DET
cana-1223	170	2	smvmed	smvme	VERB
cana-1223	170	3	aims	aim	VERB
cana-1223	170	4	to	to	PART
cana-1223	170	5	achieve	achieve	VERB
cana-1223	170	6	margin	margin	NOUN
cana-1223	170	7	consistency	consistency	NOUN
cana-1223	170	8	in	in	ADP
cana-1223	170	9	a	a	DET
cana-1223	170	10	flexible	flexible	ADJ
cana-1223	170	11	manner	manner	NOUN
cana-1223	170	12	by	by	ADP
cana-1223	170	13	maximizing	maximize	VERB
cana-1223	170	14	the	the	DET
cana-1223	170	15	relative	relative	ADJ
cana-1223	170	16	entropy	entropy	NOUN
cana-1223	170	17	between	between	ADP
cana-1223	170	18	the	the	DET
cana-1223	170	19	fundamental	fundamental	ADJ
cana-1223	170	20	parameters	parameter	NOUN
cana-1223	170	21	of	of	ADP
cana-1223	170	22	two	two	NUM
cana-1223	170	23	view	view	NOUN
cana-1223	170	24	margins	margin	NOUN
cana-1223	170	25	.	.	PUNCT
cana-1223	171	1	this	this	DET
cana-1223	171	2	approach	approach	NOUN
cana-1223	171	3	allows	allow	VERB
cana-1223	171	4	for	for	ADP
cana-1223	171	5	a	a	DET
cana-1223	171	6	trade	trade	NOUN
cana-1223	171	7	-	-	PUNCT
cana-1223	171	8	off	off	ADP
cana-1223	171	9	parameter	parameter	NOUN
cana-1223	171	10	to	to	PART
cana-1223	171	11	balance	balance	VERB
cana-1223	171	12	between	between	ADP
cana-1223	171	13	a	a	DET
cana-1223	171	14	large	large	ADJ
cana-1223	171	15	margin	margin	NOUN
cana-1223	171	16	and	and	CCONJ
cana-1223	171	17	margin	margin	NOUN
cana-1223	171	18	consistency	consistency	NOUN
cana-1223	171	19	,	,	PUNCT
cana-1223	171	20	achieved	achieve	VERB
cana-1223	171	21	by	by	ADP
cana-1223	171	22	minimizing	minimize	VERB
cana-1223	171	23	the	the	DET
cana-1223	171	24	kl	kl	NOUN
cana-1223	171	25	-	-	NOUN
cana-1223	171	26	divergence	divergence	NOUN
cana-1223	171	27	between	between	ADP
cana-1223	171	28	the	the	DET
cana-1223	171	29	fundamental	fundamental	ADJ
cana-1223	171	30	parameters	parameter	NOUN
cana-1223	171	31	of	of	ADP
cana-1223	171	32	the	the	DET
cana-1223	171	33	margin	margin	NOUN
cana-1223	171	34	views	view	NOUN
cana-1223	171	35	.	.	PUNCT
cana-1223	172	1	the	the	DET
cana-1223	172	2	smvmed	smvme	VERB
cana-1223	172	3	algorithm	algorithm	NOUN
cana-1223	172	4	deals	deal	VERB
cana-1223	172	5	with	with	ADP
cana-1223	172	6	a	a	DET
cana-1223	172	7	multi	multi	ADJ
cana-1223	172	8	-	-	ADJ
cana-1223	172	9	view	view	ADJ
cana-1223	172	10	dataset	dataset	NOUN
cana-1223	172	11	{	{	PUNCT
cana-1223	172	12	𝑋𝑡	𝑋𝑡	NOUN
cana-1223	172	13	1	1	NUM
cana-1223	172	14	,	,	PUNCT
cana-1223	172	15	𝑋𝑡	𝑋𝑡	PROPN
cana-1223	172	16	2	2	NUM
cana-1223	172	17	,	,	PUNCT
cana-1223	172	18	𝑦𝑡|1	𝑦𝑡|1	VERB
cana-1223	172	19	≤	≤	NUM
cana-1223	172	20	𝑡	𝑡	PROPN
cana-1223	172	21	≤	≤	NUM
cana-1223	172	22	𝑛	𝑛	ADP
cana-1223	172	23	}	}	PUNCT
cana-1223	172	24	,	,	PUNCT
cana-1223	172	25	where	where	SCONJ
cana-1223	172	26	𝑋𝑡	𝑋𝑡	PROPN
cana-1223	172	27	1	1	NUM
cana-1223	172	28	and	and	CCONJ
cana-1223	172	29	𝑋𝑡	𝑋𝑡	PROPN
cana-1223	172	30	2	2	NUM
cana-1223	172	31	are	be	AUX
cana-1223	172	32	the	the	DET
cana-1223	172	33	𝑡𝑡ℎ	𝑡𝑡ℎ	NOUN
cana-1223	172	34	samples	sample	NOUN
cana-1223	172	35	from	from	ADP
cana-1223	172	36	the	the	DET
cana-1223	172	37	first	first	ADJ
cana-1223	172	38	and	and	CCONJ
cana-1223	172	39	second	second	ADJ
cana-1223	172	40	views	view	NOUN
cana-1223	172	41	,	,	PUNCT
cana-1223	172	42	respectively	respectively	ADV
cana-1223	172	43	,	,	PUNCT
cana-1223	172	44	and	and	CCONJ
cana-1223	172	45	𝑦𝑡	𝑦𝑡	PROPN
cana-1223	172	46	is	be	AUX
cana-1223	172	47	their	their	PRON
cana-1223	172	48	corresponding	corresponding	ADJ
cana-1223	172	49	labels	label	NOUN
cana-1223	172	50	.	.	PUNCT
cana-1223	173	1	it	it	PRON
cana-1223	173	2	aims	aim	VERB
cana-1223	173	3	to	to	PART
cana-1223	173	4	learn	learn	VERB
cana-1223	173	5	two	two	NUM
cana-1223	173	6	discriminant	discriminant	ADJ
cana-1223	173	7	functions	function	NOUN
cana-1223	173	8	,	,	PUNCT
cana-1223	173	9	𝐿1(𝑋𝑡	𝐿1(𝑋𝑡	NOUN
cana-1223	173	10	1|𝜃1	1|𝜃1	NUM
cana-1223	173	11	)	)	PUNCT
cana-1223	173	12	and	and	CCONJ
cana-1223	173	13	𝐿2(𝑋𝑡	𝐿2(𝑋𝑡	PROPN
cana-1223	173	14	2|𝜃2	2|𝜃2	NUM
cana-1223	173	15	)	)	PUNCT
cana-1223	173	16	for	for	ADP
cana-1223	173	17	the	the	DET
cana-1223	173	18	first	first	ADJ
cana-1223	173	19	and	and	CCONJ
cana-1223	173	20	second	second	ADJ
cana-1223	173	21	views	view	NOUN
cana-1223	173	22	,	,	PUNCT
cana-1223	173	23	respectively	respectively	ADV
cana-1223	173	24	.	.	PUNCT
cana-1223	174	1	the	the	DET
cana-1223	174	2	parameters	parameter	NOUN
cana-1223	174	3	𝜃1	𝜃1	VERB
cana-1223	174	4	and	and	CCONJ
cana-1223	174	5	𝜃2	𝜃2	NOUN
cana-1223	174	6	are	be	AUX
cana-1223	174	7	the	the	DET
cana-1223	174	8	classifier	classifier	NOUN
cana-1223	174	9	parameters	parameter	NOUN
cana-1223	174	10	.	.	PUNCT
cana-1223	175	1	the	the	DET
cana-1223	175	2	algorithm	algorithm	NOUN
cana-1223	175	3	assumes	assume	VERB
cana-1223	175	4	dependent	dependent	ADJ
cana-1223	175	5	distributions	distribution	NOUN
cana-1223	175	6	𝑝(𝜃1	𝑝(𝜃1	NOUN
cana-1223	175	7	)	)	PUNCT
cana-1223	175	8	and	and	CCONJ
cana-1223	175	9	𝑝(𝛾	𝑝(𝛾	NOUN
cana-1223	175	10	)	)	PUNCT
cana-1223	175	11	for	for	ADP
cana-1223	175	12	the	the	DET
cana-1223	175	13	first	first	ADJ
cana-1223	175	14	view	view	NOUN
cana-1223	175	15	and	and	CCONJ
cana-1223	175	16	𝑞(𝜃1	𝑞(𝜃1	ADJ
cana-1223	175	17	)	)	PUNCT
cana-1223	175	18	and	and	CCONJ
cana-1223	175	19	𝑞(𝛾	𝑞(𝛾	NOUN
cana-1223	175	20	)	)	PUNCT
cana-1223	175	21	for	for	ADP
cana-1223	175	22	the	the	DET
cana-1223	175	23	second	second	ADJ
cana-1223	175	24	view	view	NOUN
cana-1223	175	25	.	.	PUNCT
cana-1223	176	1	the	the	DET
cana-1223	176	2	joint	joint	ADJ
cana-1223	176	3	distributions	distribution	NOUN
cana-1223	176	4	are	be	AUX
cana-1223	176	5	𝑝(𝜃1	𝑝(𝜃1	ADJ
cana-1223	176	6	,	,	PUNCT
cana-1223	176	7	𝛾	𝛾	NOUN
cana-1223	176	8	)	)	PUNCT
cana-1223	176	9	=	=	SYM
cana-1223	176	10	𝑝(𝜃1)𝑝(𝛾	𝑝(𝜃1)𝑝(𝛾	PROPN
cana-1223	176	11	)	)	PUNCT
cana-1223	176	12	and	and	CCONJ
cana-1223	176	13	𝑞(𝜃2	𝑞(𝜃2	ADV
cana-1223	176	14	,	,	PUNCT
cana-1223	176	15	𝛾	𝛾	NOUN
cana-1223	176	16	)	)	PUNCT
cana-1223	176	17	=	=	SYM
cana-1223	176	18	𝑞(𝜃2)𝑞(𝛾	𝑞(𝜃2)𝑞(𝛾	X
cana-1223	176	19	)	)	PUNCT
cana-1223	176	20	,	,	PUNCT
cana-1223	176	21	where	where	SCONJ
cana-1223	176	22	𝛾	𝛾	NOUN
cana-1223	176	23	=	=	PRON
cana-1223	176	24	{	{	PUNCT
cana-1223	176	25	𝛾𝑡|1	𝛾𝑡|1	PROPN
cana-1223	176	26	≤	≤	NUM
cana-1223	176	27	𝑡	𝑡	PROPN
cana-1223	176	28	≤	≤	PROPN
cana-1223	176	29	𝑛	𝑛	PRON
cana-1223	176	30	}	}	PUNCT
cana-1223	176	31	is	be	AUX
cana-1223	176	32	the	the	DET
cana-1223	176	33	margin	margin	NOUN
cana-1223	176	34	parameter	parameter	NOUN
cana-1223	176	35	.	.	PUNCT
cana-1223	177	1	additionally	additionally	ADV
cana-1223	177	2	,	,	PUNCT
cana-1223	177	3	𝑝(𝜃1	𝑝(𝜃1	NOUN
cana-1223	177	4	)	)	PUNCT
cana-1223	177	5	and	and	CCONJ
cana-1223	177	6	𝑞(𝜃2	𝑞(𝜃2	ADV
cana-1223	177	7	)	)	PUNCT
cana-1223	177	8	are	be	AUX
cana-1223	177	9	the	the	DET
cana-1223	177	10	posteriors	posterior	NOUN
cana-1223	177	11	of	of	ADP
cana-1223	177	12	𝜃1	𝜃1	NOUN
cana-1223	177	13	and	and	CCONJ
cana-1223	177	14	𝜃2	𝜃2	NOUN
cana-1223	177	15	,	,	PUNCT
cana-1223	177	16	respectively	respectively	ADV
cana-1223	177	17	,	,	PUNCT
cana-1223	177	18	and	and	CCONJ
cana-1223	177	19	𝑝(𝛾	𝑝(𝛾	NOUN
cana-1223	177	20	)	)	PUNCT
cana-1223	177	21	and	and	CCONJ
cana-1223	177	22	𝑞(𝛾	𝑞(𝛾	NOUN
cana-1223	177	23	)	)	PUNCT
cana-1223	177	24	are	be	AUX
cana-1223	177	25	the	the	DET
cana-1223	177	26	posteriors	posterior	NOUN
cana-1223	177	27	of	of	ADP
cana-1223	177	28	the	the	DET
cana-1223	177	29	margins	margin	NOUN
cana-1223	177	30	from	from	ADP
cana-1223	177	31	the	the	DET
cana-1223	177	32	first	first	ADJ
cana-1223	177	33	and	and	CCONJ
cana-1223	177	34	second	second	ADJ
cana-1223	177	35	views	view	NOUN
cana-1223	177	36	,	,	PUNCT
cana-1223	177	37	respectively	respectively	ADV
cana-1223	177	38	.	.	PUNCT
cana-1223	178	1	thus	thus	ADV
cana-1223	178	2	,	,	PUNCT
cana-1223	178	3	the	the	DET
cana-1223	178	4	optimization	optimization	NOUN
cana-1223	178	5	problem	problem	NOUN
cana-1223	178	6	is	be	AUX
cana-1223	178	7	formulated	formulate	VERB
cana-1223	178	8	as	as	SCONJ
cana-1223	178	9	follows	follow	VERB
cana-1223	178	10	:	:	PUNCT
cana-1223	178	11	min	min	NOUN
cana-1223	178	12	𝑝(𝜃1,𝛾)𝑞(𝜃2,𝛾	𝑝(𝜃1,𝛾)𝑞(𝜃2,𝛾	NOUN
cana-1223	178	13	)	)	PUNCT
cana-1223	178	14	𝐾𝐿(𝑝(𝜃1)‖𝑝0(𝜃1	𝐾𝐿(𝑝(𝜃1)‖𝑝0(𝜃1	NOUN
cana-1223	178	15	)	)	PUNCT
cana-1223	178	16	)	)	PUNCT
cana-1223	179	1	+	+	CCONJ
cana-1223	179	2	𝐾𝐿(𝑞(𝜃1)‖𝑞0(𝜃1	𝐾𝐿(𝑞(𝜃1)‖𝑞0(𝜃1	X
cana-1223	179	3	)	)	PUNCT
cana-1223	179	4	)	)	PUNCT
cana-1223	180	1	+	+	CCONJ
cana-1223	180	2	(	(	PUNCT
cana-1223	180	3	1	1	NUM
cana-1223	180	4	−	−	PROPN
cana-1223	180	5	𝛼)𝐾𝐿(𝑝(𝛾)‖𝑝0(𝛾	𝛼)𝐾𝐿(𝑝(𝛾)‖𝑝0(𝛾	NOUN
cana-1223	180	6	)	)	PUNCT
cana-1223	180	7	)	)	PUNCT
cana-1223	181	1	+	+	CCONJ
cana-1223	181	2	(	(	PUNCT
cana-1223	181	3	1	1	NUM
cana-1223	181	4	−	−	PROPN
cana-1223	181	5	𝛼)𝐾𝐿(𝑞(𝛾)‖𝑞0(𝛾	𝛼)𝐾𝐿(𝑞(𝛾)‖𝑞0(𝛾	NUM
cana-1223	181	6	)	)	PUNCT
cana-1223	181	7	)	)	PUNCT
cana-1223	182	1	+	+	CCONJ
cana-1223	182	2	𝛼𝐾𝐿(𝑝(𝛾)‖𝑞(𝛾	𝛼𝐾𝐿(𝑝(𝛾)‖𝑞(𝛾	VERB
cana-1223	182	3	)	)	PUNCT
cana-1223	182	4	)	)	PUNCT
cana-1223	183	1	+	+	CCONJ
cana-1223	183	2	𝛼𝐾𝐿(𝑞(𝛾)‖𝑝(𝛾	𝛼𝐾𝐿(𝑞(𝛾)‖𝑝(𝛾	NOUN
cana-1223	183	3	)	)	PUNCT
cana-1223	183	4	)	)	PUNCT
cana-1223	183	5	(	(	PUNCT
cana-1223	183	6	1	1	X
cana-1223	183	7	)	)	PUNCT
cana-1223	183	8	such	such	ADJ
cana-1223	183	9	that	that	DET
cana-1223	183	10	∫	∫	PROPN
cana-1223	183	11	𝑝(𝜃1	𝑝(𝜃1	NOUN
cana-1223	183	12	,	,	PUNCT
cana-1223	183	13	𝛾)[𝑦𝑡𝐿1(𝑋𝑡	𝛾)[𝑦𝑡𝐿1(𝑋𝑡	ADV
cana-1223	183	14	1|𝜃1	1|𝜃1	NUM
cana-1223	183	15	)	)	PUNCT
cana-1223	184	1	−	−	PROPN
cana-1223	184	2	𝑦𝑡]𝑑𝜃1𝑑𝛾	𝑦𝑡]𝑑𝜃1𝑑𝛾	NOUN
cana-1223	184	3	≥	≥	NOUN
cana-1223	184	4	0	0	NUM
cana-1223	184	5	∫	∫	PROPN
cana-1223	184	6	𝑞(𝜃2	𝑞(𝜃2	ADV
cana-1223	184	7	,	,	PUNCT
cana-1223	184	8	𝛾)[𝑦𝑡𝐿2(𝑋𝑡	𝛾)[𝑦𝑡𝐿2(𝑋𝑡	NUM
cana-1223	184	9	2|𝜃2	2|𝜃2	NUM
cana-1223	184	10	)	)	PUNCT
cana-1223	184	11	−	−	PROPN
cana-1223	184	12	𝑦𝑡]𝑑𝜃2𝑑𝛾	𝑦𝑡]𝑑𝜃2𝑑𝛾	VERB
cana-1223	184	13	≥	≥	NOUN
cana-1223	184	14	0	0	NUM
cana-1223	184	15	,	,	PUNCT
cana-1223	184	16	where	where	SCONJ
cana-1223	184	17	1	1	NUM
cana-1223	184	18	≤	≤	NUM
cana-1223	184	19	𝑡	𝑡	PROPN
cana-1223	184	20	≤	≤	NOUN
cana-1223	184	21	𝑛	𝑛	VERB
cana-1223	184	22	in	in	ADP
cana-1223	184	23	eq	eq	PROPN
cana-1223	184	24	.	.	PUNCT
cana-1223	184	25	(	(	PUNCT
cana-1223	184	26	1	1	NUM
cana-1223	184	27	)	)	PUNCT
cana-1223	184	28	,	,	PUNCT
cana-1223	184	29	𝛼	𝛼	PROPN
cana-1223	184	30	is	be	AUX
cana-1223	184	31	a	a	DET
cana-1223	184	32	parameter	parameter	NOUN
cana-1223	184	33	that	that	PRON
cana-1223	184	34	balances	balance	VERB
cana-1223	184	35	the	the	DET
cana-1223	184	36	large	large	ADJ
cana-1223	184	37	margin	margin	NOUN
cana-1223	184	38	and	and	CCONJ
cana-1223	184	39	soft	soft	ADJ
cana-1223	184	40	margin	margin	NOUN
cana-1223	184	41	consistency	consistency	NOUN
cana-1223	184	42	.	.	PUNCT
cana-1223	185	1	when	when	SCONJ
cana-1223	185	2	solving	solve	VERB
cana-1223	185	3	for	for	ADP
cana-1223	185	4	the	the	DET
cana-1223	185	5	partial	partial	ADJ
cana-1223	185	6	derivatives	derivative	NOUN
cana-1223	185	7	of	of	ADP
cana-1223	185	8	the	the	DET
cana-1223	185	9	lagrangian	lagrangian	NOUN
cana-1223	185	10	in	in	ADP
cana-1223	185	11	eq	eq	ADP
cana-1223	185	12	.	.	PUNCT
cana-1223	186	1	(	(	PUNCT
cana-1223	186	2	1	1	X
cana-1223	186	3	)	)	PUNCT
cana-1223	186	4	becomes	become	VERB
cana-1223	186	5	challenging	challenging	ADJ
cana-1223	186	6	(	(	PUNCT
cana-1223	186	7	𝑝(𝜃1	𝑝(𝜃1	NOUN
cana-1223	186	8	,	,	PUNCT
cana-1223	186	9	𝛾	𝛾	NOUN
cana-1223	186	10	)	)	PUNCT
cana-1223	186	11	=	=	PUNCT
cana-1223	186	12	𝑞(𝜃2	𝑞(𝜃2	ADV
cana-1223	186	13	,	,	PUNCT
cana-1223	186	14	𝛾	𝛾	NOUN
cana-1223	186	15	)	)	PUNCT
cana-1223	186	16	=	=	SYM
cana-1223	186	17	0	0	NUM
cana-1223	186	18	)	)	PUNCT
cana-1223	186	19	,	,	PUNCT
cana-1223	186	20	communications	communication	NOUN
cana-1223	186	21	on	on	ADP
cana-1223	186	22	applied	apply	VERB
cana-1223	186	23	nonlinear	nonlinear	ADJ
cana-1223	186	24	analysis	analysis	NOUN
cana-1223	186	25	issn	issn	NOUN
cana-1223	186	26	:	:	PUNCT
cana-1223	186	27	1074	1074	NUM
cana-1223	186	28	-	-	PUNCT
cana-1223	186	29	133x	133x	NUM
cana-1223	186	30	vol	vol	NOUN
cana-1223	186	31	31	31	NUM
cana-1223	186	32	no	no	NOUN
cana-1223	186	33	.	.	PUNCT
cana-1223	187	1	6s	6s	NUM
cana-1223	187	2	(	(	PUNCT
cana-1223	187	3	2024	2024	NUM
cana-1223	187	4	)	)	PUNCT
cana-1223	187	5	300	300	NUM
cana-1223	187	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1223	187	7	an	an	DET
cana-1223	187	8	iterative	iterative	NOUN
cana-1223	187	9	approach	approach	NOUN
cana-1223	187	10	is	be	AUX
cana-1223	187	11	used	use	VERB
cana-1223	187	12	.	.	PUNCT
cana-1223	188	1	the	the	DET
cana-1223	188	2	solution	solution	NOUN
cana-1223	188	3	is	be	AUX
cana-1223	188	4	found	find	VERB
cana-1223	188	5	by	by	ADP
cana-1223	188	6	updating	update	VERB
cana-1223	188	7	𝑝𝑚(𝜃1	𝑝𝑚(𝜃1	NOUN
cana-1223	188	8	,	,	PUNCT
cana-1223	188	9	𝛾	𝛾	NOUN
cana-1223	188	10	)	)	PUNCT
cana-1223	188	11	and	and	CCONJ
cana-1223	188	12	𝑞𝑚(𝜃2	𝑞𝑚(𝜃2	ADJ
cana-1223	188	13	,	,	PUNCT
cana-1223	188	14	𝛾	𝛾	NOUN
cana-1223	188	15	)	)	PUNCT
cana-1223	188	16	by	by	ADP
cana-1223	188	17	solving	solve	VERB
cana-1223	188	18	two	two	NUM
cana-1223	188	19	problems	problem	NOUN
cana-1223	188	20	:	:	PUNCT
cana-1223	188	21	𝑝𝑚(𝜃1	𝑝𝑚(𝜃1	NOUN
cana-1223	188	22	,	,	PUNCT
cana-1223	188	23	𝛾	𝛾	NOUN
cana-1223	188	24	)	)	PUNCT
cana-1223	188	25	=	=	SYM
cana-1223	188	26	min	min	PROPN
cana-1223	188	27	𝑝𝑚(𝜃1,𝛾	𝑝𝑚(𝜃1,𝛾	PROPN
cana-1223	188	28	)	)	PUNCT
cana-1223	188	29	𝐾𝐿(𝑝𝑚(𝜃1)‖𝑝0(𝜃1	𝐾𝐿(𝑝𝑚(𝜃1)‖𝑝0(𝜃1	PROPN
cana-1223	188	30	)	)	PUNCT
cana-1223	188	31	)	)	PUNCT
cana-1223	189	1	+	+	CCONJ
cana-1223	189	2	(	(	PUNCT
cana-1223	189	3	1	1	NUM
cana-1223	189	4	−	−	NUM
cana-1223	189	5	𝛼)𝐾𝐿(𝑝𝑚(𝛾)‖𝑝0(𝛾	𝛼)𝐾𝐿(𝑝𝑚(𝛾)‖𝑝0(𝛾	NUM
cana-1223	189	6	)	)	PUNCT
cana-1223	189	7	)	)	PUNCT
cana-1223	190	1	+	+	CCONJ
cana-1223	190	2	𝛼𝐾𝐿(𝑝𝑚(𝛾)‖𝑞(𝛾	𝛼𝐾𝐿(𝑝𝑚(𝛾)‖𝑞(𝛾	X
cana-1223	190	3	)	)	PUNCT
cana-1223	190	4	)	)	PUNCT
cana-1223	190	5	(	(	PUNCT
cana-1223	190	6	2	2	X
cana-1223	190	7	)	)	PUNCT
cana-1223	190	8	such	such	ADJ
cana-1223	190	9	that	that	DET
cana-1223	190	10	∫	∫	PROPN
cana-1223	190	11	𝑝𝑚(𝜃1	𝑝𝑚(𝜃1	PROPN
cana-1223	190	12	,	,	PUNCT
cana-1223	190	13	𝛾)[𝑦𝑡𝐿1(𝑋𝑡	𝛾)[𝑦𝑡𝐿1(𝑋𝑡	ADV
cana-1223	190	14	1|𝜃1	1|𝜃1	NUM
cana-1223	190	15	)	)	PUNCT
cana-1223	191	1	−	−	PROPN
cana-1223	191	2	𝑦𝑡]𝑑𝜃1𝑑𝛾	𝑦𝑡]𝑑𝜃1𝑑𝛾	NOUN
cana-1223	191	3	≥	≥	NOUN
cana-1223	191	4	0	0	NUM
cana-1223	191	5	,	,	PUNCT
cana-1223	191	6	1	1	NUM
cana-1223	191	7	≤	≤	NUM
cana-1223	191	8	𝑡	𝑡	PROPN
cana-1223	191	9	≤	≤	NOUN
cana-1223	191	10	𝑛	𝑛	PRON
cana-1223	191	11	also	also	ADV
cana-1223	191	12	,	,	PUNCT
cana-1223	191	13	𝑞𝑚(𝜃2	𝑞𝑚(𝜃2	ADJ
cana-1223	191	14	,	,	PUNCT
cana-1223	191	15	𝛾	𝛾	NOUN
cana-1223	191	16	)	)	PUNCT
cana-1223	191	17	=	=	SYM
cana-1223	191	18	min	min	NOUN
cana-1223	191	19	𝑞𝑚(𝜃2,𝛾	𝑞𝑚(𝜃2,𝛾	PROPN
cana-1223	191	20	)	)	PUNCT
cana-1223	191	21	𝐾𝐿(𝑞𝑚(𝜃2)‖𝑞0(𝜃2	𝐾𝐿(𝑞𝑚(𝜃2)‖𝑞0(𝜃2	NOUN
cana-1223	191	22	)	)	PUNCT
cana-1223	191	23	)	)	PUNCT
cana-1223	192	1	+	+	CCONJ
cana-1223	192	2	(	(	PUNCT
cana-1223	192	3	1	1	NUM
cana-1223	192	4	−	−	NOUN
cana-1223	192	5	𝛼)𝐾𝐿(𝑞𝑚(𝛾)‖𝑞0(𝛾	𝛼)𝐾𝐿(𝑞𝑚(𝛾)‖𝑞0(𝛾	NUM
cana-1223	192	6	)	)	PUNCT
cana-1223	192	7	)	)	PUNCT
cana-1223	193	1	+	+	CCONJ
cana-1223	193	2	𝛼𝐾𝐿(𝑞𝑚(𝛾)‖𝑞(𝛾	𝛼𝐾𝐿(𝑞𝑚(𝛾)‖𝑞(𝛾	NOUN
cana-1223	193	3	)	)	PUNCT
cana-1223	193	4	)	)	PUNCT
cana-1223	193	5	(	(	PUNCT
cana-1223	193	6	3	3	X
cana-1223	193	7	)	)	PUNCT
cana-1223	193	8	such	such	ADJ
cana-1223	193	9	that	that	DET
cana-1223	193	10	∫	∫	PROPN
cana-1223	193	11	𝑞𝑚(𝜃2	𝑞𝑚(𝜃2	PROPN
cana-1223	193	12	,	,	PUNCT
cana-1223	193	13	𝛾)[𝑦𝑡𝐿2(𝑋𝑡	𝛾)[𝑦𝑡𝐿2(𝑋𝑡	NUM
cana-1223	193	14	2|𝜃2	2|𝜃2	NUM
cana-1223	193	15	)	)	PUNCT
cana-1223	193	16	−	−	PROPN
cana-1223	193	17	𝑦𝑡]𝑑𝜃2𝑑𝛾	𝑦𝑡]𝑑𝜃2𝑑𝛾	VERB
cana-1223	193	18	≥	≥	NOUN
cana-1223	193	19	0	0	NUM
cana-1223	193	20	,	,	PUNCT
cana-1223	193	21	1	1	NUM
cana-1223	193	22	≤	≤	NUM
cana-1223	193	23	𝑡	𝑡	PROPN
cana-1223	193	24	≤	≤	NOUN
cana-1223	193	25	𝑛	𝑛	ADP
cana-1223	193	26	the	the	DET
cana-1223	193	27	solution	solution	NOUN
cana-1223	193	28	to	to	ADP
cana-1223	193	29	this	this	DET
cana-1223	193	30	optimization	optimization	NOUN
cana-1223	193	31	problem	problem	NOUN
cana-1223	193	32	typically	typically	ADV
cana-1223	193	33	takes	take	VERB
cana-1223	193	34	on	on	ADP
cana-1223	193	35	the	the	DET
cana-1223	193	36	following	follow	VERB
cana-1223	193	37	common	common	ADJ
cana-1223	193	38	forms	form	NOUN
cana-1223	193	39	:	:	PUNCT
cana-1223	193	40	𝑝𝑚(𝜃1	𝑝𝑚(𝜃1	NOUN
cana-1223	193	41	,	,	PUNCT
cana-1223	193	42	𝛾	𝛾	NOUN
cana-1223	193	43	)	)	PUNCT
cana-1223	193	44	=	=	SYM
cana-1223	193	45	1	1	NUM
cana-1223	193	46	𝑍1	𝑍1	PROPN
cana-1223	193	47	𝑚(𝜆1	𝑚(𝜆1	NOUN
cana-1223	193	48	𝑚	𝑚	X
cana-1223	193	49	)	)	PUNCT
cana-1223	193	50	𝑝0(𝜃1)[𝑝0(𝛾)]1−𝛼[𝑞𝑚−1(𝛾)]𝛼𝑒𝑥𝑝(∑	𝑝0(𝜃1)[𝑝0(𝛾)]1−𝛼[𝑞𝑚−1(𝛾)]𝛼𝑒𝑥𝑝(∑	PROPN
cana-1223	193	51	𝜆1,𝑡	𝜆1,𝑡	PROPN
cana-1223	194	1	𝑚𝑛	𝑚𝑛	PRON
cana-1223	194	2	𝑡=1	𝑡=1	PROPN
cana-1223	195	1	[	[	X
cana-1223	195	2	𝑦𝑡𝐿1(𝑋𝑡	𝑦𝑡𝐿1(𝑋𝑡	NUM
cana-1223	195	3	1|𝜃1	1|𝜃1	NUM
cana-1223	195	4	)	)	PUNCT
cana-1223	195	5	−	−	PROPN
cana-1223	195	6	𝑦𝑡	𝑦𝑡	NOUN
cana-1223	195	7	]	]	PUNCT
cana-1223	195	8	)	)	PUNCT
cana-1223	195	9	(	(	PUNCT
cana-1223	195	10	4	4	X
cana-1223	195	11	)	)	PUNCT
cana-1223	195	12	𝑞𝑚(𝜃2	𝑞𝑚(𝜃2	NOUN
cana-1223	195	13	,	,	PUNCT
cana-1223	195	14	𝛾	𝛾	NOUN
cana-1223	195	15	)	)	PUNCT
cana-1223	195	16	=	=	SYM
cana-1223	195	17	1	1	NUM
cana-1223	195	18	𝑍2	𝑍2	VERB
cana-1223	195	19	𝑚(𝜆2	𝑚(𝜆2	ADJ
cana-1223	195	20	𝑚	𝑚	NOUN
cana-1223	195	21	)	)	PUNCT
cana-1223	195	22	𝑞0(𝜃2)[𝑞0(𝛾)]1−𝛼[𝑝𝑚−1(𝛾)]𝛼𝑒𝑥𝑝(∑	𝑞0(𝜃2)[𝑞0(𝛾)]1−𝛼[𝑝𝑚−1(𝛾)]𝛼𝑒𝑥𝑝(∑	PROPN
cana-1223	195	23	𝜆2,𝑡	𝜆2,𝑡	PROPN
cana-1223	195	24	𝑚𝑛	𝑚𝑛	NUM
cana-1223	195	25	𝑡=1	𝑡=1	PROPN
cana-1223	196	1	[	[	X
cana-1223	196	2	𝑦𝑡𝐿2(𝑋𝑡	𝑦𝑡𝐿2(𝑋𝑡	NOUN
cana-1223	196	3	2|𝜃2	2|𝜃2	NUM
cana-1223	196	4	)	)	PUNCT
cana-1223	196	5	−	−	PROPN
cana-1223	196	6	𝑦𝑡	𝑦𝑡	NOUN
cana-1223	196	7	]	]	PUNCT
cana-1223	196	8	)	)	PUNCT
cana-1223	196	9	(	(	PUNCT
cana-1223	196	10	5	5	X
cana-1223	196	11	)	)	PUNCT
cana-1223	196	12	in	in	ADP
cana-1223	196	13	eqns	eqns	PROPN
cana-1223	196	14	.	.	PUNCT
cana-1223	197	1	(	(	PUNCT
cana-1223	197	2	4	4	NUM
cana-1223	197	3	)	)	PUNCT
cana-1223	197	4	and	and	CCONJ
cana-1223	197	5	(	(	PUNCT
cana-1223	197	6	5	5	NUM
cana-1223	197	7	)	)	PUNCT
cana-1223	197	8	,	,	PUNCT
cana-1223	197	9	𝑍1	𝑍1	PROPN
cana-1223	197	10	𝑚(𝜆1	𝑚(𝜆1	NOUN
cana-1223	197	11	𝑚	𝑚	X
cana-1223	197	12	)	)	PUNCT
cana-1223	197	13	and	and	CCONJ
cana-1223	197	14	𝑍2	𝑍2	VERB
cana-1223	197	15	𝑚(𝜆2	𝑚(𝜆2	ADJ
cana-1223	197	16	𝑚	𝑚	NOUN
cana-1223	197	17	)	)	PUNCT
cana-1223	197	18	are	be	AUX
cana-1223	197	19	the	the	DET
cana-1223	197	20	normalization	normalization	NOUN
cana-1223	197	21	constants	constant	NOUN
cana-1223	197	22	and	and	CCONJ
cana-1223	197	23	𝜆1	𝜆1	VERB
cana-1223	197	24	𝑚	𝑚	PROPN
cana-1223	197	25	and	and	CCONJ
cana-1223	197	26	𝜆2	𝜆2	PROPN
cana-1223	197	27	𝑚	𝑚	PROPN
cana-1223	197	28	are	be	AUX
cana-1223	197	29	set	set	VERB
cana-1223	197	30	by	by	ADP
cana-1223	197	31	finding	find	VERB
cana-1223	197	32	the	the	DET
cana-1223	197	33	maximum	maximum	NOUN
cana-1223	197	34	of	of	ADP
cana-1223	197	35	the	the	DET
cana-1223	197	36	following	follow	VERB
cana-1223	197	37	objective	objective	ADJ
cana-1223	197	38	functions	function	NOUN
cana-1223	197	39	:	:	PUNCT
cana-1223	197	40	𝐽1	𝐽1	NOUN
cana-1223	197	41	𝑚(𝜆1	𝑚(𝜆1	NOUN
cana-1223	197	42	𝑚	𝑚	NOUN
cana-1223	197	43	)	)	PUNCT
cana-1223	197	44	=	=	SYM
cana-1223	198	1	−	−	PROPN
cana-1223	198	2	log	log	NOUN
cana-1223	198	3	𝑍1	𝑍1	NOUN
cana-1223	198	4	𝑚(𝜆1	𝑚(𝜆1	NOUN
cana-1223	198	5	𝑚	𝑚	NOUN
cana-1223	198	6	)	)	PUNCT
cana-1223	198	7	(	(	PUNCT
cana-1223	198	8	6	6	NUM
cana-1223	198	9	)	)	PUNCT
cana-1223	198	10	𝐽2	𝐽2	NOUN
cana-1223	198	11	𝑚(𝜆2	𝑚(𝜆2	ADJ
cana-1223	198	12	𝑚	𝑚	NOUN
cana-1223	198	13	)	)	PUNCT
cana-1223	198	14	=	=	SYM
cana-1223	199	1	−	−	PROPN
cana-1223	199	2	log	log	NOUN
cana-1223	199	3	𝑍2	𝑍2	ADJ
cana-1223	199	4	𝑚(𝜆2	𝑚(𝜆2	ADJ
cana-1223	199	5	𝑚	𝑚	NOUN
cana-1223	199	6	)	)	PUNCT
cana-1223	199	7	(	(	PUNCT
cana-1223	199	8	7	7	X
cana-1223	199	9	)	)	PUNCT
cana-1223	199	10	the	the	DET
cana-1223	199	11	convergence	convergence	NOUN
cana-1223	199	12	of	of	ADP
cana-1223	199	13	the	the	DET
cana-1223	199	14	iteration	iteration	NOUN
cana-1223	199	15	process	process	NOUN
cana-1223	199	16	is	be	AUX
cana-1223	199	17	determined	determine	VERB
cana-1223	199	18	by	by	ADP
cana-1223	199	19	calculating	calculate	VERB
cana-1223	199	20	the	the	DET
cana-1223	199	21	relative	relative	ADJ
cana-1223	199	22	error	error	NOUN
cana-1223	199	23	between	between	ADP
cana-1223	199	24	values	value	NOUN
cana-1223	199	25	of	of	ADP
cana-1223	199	26	eqns	eqns	PROPN
cana-1223	199	27	.	.	PUNCT
cana-1223	200	1	(	(	PUNCT
cana-1223	200	2	6	6	NUM
cana-1223	200	3	)	)	PUNCT
cana-1223	200	4	and	and	CCONJ
cana-1223	200	5	(	(	PUNCT
cana-1223	200	6	7	7	NUM
cana-1223	200	7	)	)	PUNCT
cana-1223	200	8	from	from	ADP
cana-1223	200	9	two	two	NUM
cana-1223	200	10	successful	successful	ADJ
cana-1223	200	11	iterations	iteration	NOUN
cana-1223	200	12	.	.	PUNCT
cana-1223	201	1	the	the	DET
cana-1223	201	2	iteration	iteration	NOUN
cana-1223	201	3	ends	end	VERB
cana-1223	201	4	when	when	SCONJ
cana-1223	201	5	the	the	DET
cana-1223	201	6	relative	relative	ADJ
cana-1223	201	7	errors	error	NOUN
cana-1223	201	8	calculated	calculate	VERB
cana-1223	201	9	by	by	ADP
cana-1223	201	10	eqns	eqns	PROPN
cana-1223	201	11	.	.	PUNCT
cana-1223	202	1	(	(	PUNCT
cana-1223	202	2	8)	8)	NUM
cana-1223	202	3	and	and	CCONJ
cana-1223	202	4	(	(	PUNCT
cana-1223	202	5	9	9	NUM
cana-1223	202	6	)	)	PUNCT
cana-1223	202	7	are	be	AUX
cana-1223	202	8	both	both	ADV
cana-1223	202	9	less	less	ADJ
cana-1223	202	10	than	than	ADP
cana-1223	202	11	the	the	DET
cana-1223	202	12	tolerance	tolerance	NOUN
cana-1223	202	13	(	(	PUNCT
cana-1223	202	14	𝜖	𝜖	NOUN
cana-1223	202	15	)	)	PUNCT
cana-1223	202	16	.	.	PUNCT
cana-1223	203	1	𝐽1	𝐽1	NOUN
cana-1223	203	2	𝑚(𝜆1	𝑚(𝜆1	NOUN
cana-1223	204	1	𝑚)−𝐽1	𝑚)−𝐽1	NUM
cana-1223	204	2	𝑚−1(𝜆1	𝑚−1(𝜆1	PUNCT
cana-1223	204	3	𝑚−1	𝑚−1	PROPN
cana-1223	204	4	)	)	PUNCT
cana-1223	204	5	𝐽1	𝐽1	ADP
cana-1223	204	6	𝑚−1(𝜆1	𝑚−1(𝜆1	X
cana-1223	204	7	𝑚−1	𝑚−1	PROPN
cana-1223	204	8	)	)	PUNCT
cana-1223	204	9	(	(	PUNCT
cana-1223	204	10	8)	8)	NUM
cana-1223	204	11	𝐽2	𝐽2	NOUN
cana-1223	204	12	𝑚(𝜆2	𝑚(𝜆2	ADJ
cana-1223	204	13	𝑚)−𝐽2	𝑚)−𝐽2	NUM
cana-1223	204	14	𝑚−1(𝜆2	𝑚−1(𝜆2	ADJ
cana-1223	204	15	𝑚−1	𝑚−1	NOUN
cana-1223	204	16	)	)	PUNCT
cana-1223	204	17	𝐽2	𝐽2	NOUN
cana-1223	204	18	𝑚−1(𝜆2	𝑚−1(𝜆2	VERB
cana-1223	204	19	𝑚−1	𝑚−1	PROPN
cana-1223	204	20	)	)	PUNCT
cana-1223	204	21	(	(	PUNCT
cana-1223	204	22	9	9	NUM
cana-1223	204	23	)	)	PUNCT
cana-1223	204	24	after	after	ADP
cana-1223	204	25	obtaining	obtain	VERB
cana-1223	204	26	𝑝(𝜃1	𝑝(𝜃1	NOUN
cana-1223	204	27	)	)	PUNCT
cana-1223	204	28	and	and	CCONJ
cana-1223	204	29	𝑞(𝜃2	𝑞(𝜃2	ADV
cana-1223	204	30	)	)	PUNCT
cana-1223	204	31	,	,	PUNCT
cana-1223	204	32	the	the	DET
cana-1223	204	33	label	label	NOUN
cana-1223	204	34	of	of	ADP
cana-1223	204	35	a	a	DET
cana-1223	204	36	new	new	ADJ
cana-1223	204	37	input	input	NOUN
cana-1223	204	38	sample	sample	NOUN
cana-1223	204	39	(	(	PUNCT
cana-1223	204	40	𝑋1	𝑋1	PROPN
cana-1223	204	41	,	,	PUNCT
cana-1223	204	42	𝑋2	𝑋2	VERB
cana-1223	204	43	)	)	PUNCT
cana-1223	204	44	is	be	AUX
cana-1223	204	45	predicted	predict	VERB
cana-1223	204	46	by	by	ADP
cana-1223	204	47	the	the	DET
cana-1223	204	48	following	following	NOUN
cana-1223	204	49	eqns	eqns	PROPN
cana-1223	204	50	.	.	PUNCT
cana-1223	205	1	(	(	PUNCT
cana-1223	205	2	10	10	NUM
cana-1223	205	3	)	)	PUNCT
cana-1223	205	4	and	and	CCONJ
cana-1223	205	5	(	(	PUNCT
cana-1223	205	6	11	11	NUM
cana-1223	205	7	):	):	PUNCT
cana-1223	205	8	�	�	PROPN
cana-1223	205	9	̂	̂	VERB
cana-1223	205	10	�	�	NOUN
cana-1223	205	11	1	1	NUM
cana-1223	205	12	=	=	SYM
cana-1223	205	13	𝑠𝑖𝑔𝑛(∫	𝑠𝑖𝑔𝑛(∫	NOUN
cana-1223	205	14	𝑝(𝜃1)𝐿1(𝑋1|𝜃1)𝑑𝜃1	𝑝(𝜃1)𝐿1(𝑋1|𝜃1)𝑑𝜃1	NOUN
cana-1223	205	15	)	)	PUNCT
cana-1223	205	16	(	(	PUNCT
cana-1223	205	17	10	10	NUM
cana-1223	205	18	)	)	PUNCT
cana-1223	205	19	�	�	NOUN
cana-1223	205	20	̂	̂	VERB
cana-1223	205	21	�	�	NOUN
cana-1223	205	22	2	2	NUM
cana-1223	205	23	=	=	SYM
cana-1223	205	24	𝑠𝑖𝑔𝑛(∫	𝑠𝑖𝑔𝑛(∫	NOUN
cana-1223	205	25	𝑝(𝜃2)𝐿2(𝑋2|𝜃2)𝑑𝜃2	𝑝(𝜃2)𝐿2(𝑋2|𝜃2)𝑑𝜃2	NUM
cana-1223	205	26	)	)	PUNCT
cana-1223	205	27	(	(	PUNCT
cana-1223	205	28	11	11	NUM
cana-1223	205	29	)	)	PUNCT
cana-1223	205	30	by	by	ADP
cana-1223	205	31	integrating	integrate	VERB
cana-1223	205	32	the	the	DET
cana-1223	205	33	two	two	NUM
cana-1223	205	34	views	view	NOUN
cana-1223	205	35	,	,	PUNCT
cana-1223	205	36	the	the	DET
cana-1223	205	37	absolute	absolute	ADJ
cana-1223	205	38	prediction	prediction	NOUN
cana-1223	205	39	rule	rule	NOUN
cana-1223	205	40	is	be	AUX
cana-1223	205	41	as	as	SCONJ
cana-1223	205	42	follows	follow	VERB
cana-1223	205	43	:	:	PUNCT
cana-1223	205	44	�	�	PROPN
cana-1223	205	45	̂	̂	VERB
cana-1223	205	46	�	�	NOUN
cana-1223	205	47	=	=	SYM
cana-1223	205	48	𝑠𝑖𝑔𝑛	𝑠𝑖𝑔𝑛	NOUN
cana-1223	205	49	(	(	PUNCT
cana-1223	205	50	1	1	NUM
cana-1223	205	51	2	2	NUM
cana-1223	205	52	∫	∫	NOUN
cana-1223	205	53	𝑝(𝜃1)𝐿1(𝑋1|𝜃1)𝑑𝜃1	𝑝(𝜃1)𝐿1(𝑋1|𝜃1)𝑑𝜃1	NOUN
cana-1223	206	1	+	+	CCONJ
cana-1223	206	2	1	1	NUM
cana-1223	206	3	2	2	NUM
cana-1223	206	4	∫	∫	NOUN
cana-1223	206	5	𝑝(𝜃2)𝐿2(𝑋2|𝜃2)𝑑𝜃2	𝑝(𝜃2)𝐿2(𝑋2|𝜃2)𝑑𝜃2	NOUN
cana-1223	206	6	)	)	PUNCT
cana-1223	206	7	(	(	PUNCT
cana-1223	206	8	12	12	NUM
cana-1223	206	9	)	)	PUNCT
cana-1223	206	10	accordingly	accordingly	ADV
cana-1223	206	11	,	,	PUNCT
cana-1223	206	12	the	the	DET
cana-1223	206	13	multi	multi	ADJ
cana-1223	206	14	-	-	ADJ
cana-1223	206	15	view	view	ADJ
cana-1223	206	16	classifier	classifier	NOUN
cana-1223	206	17	,	,	PUNCT
cana-1223	206	18	using	use	VERB
cana-1223	206	19	the	the	DET
cana-1223	206	20	smvmed	smvmed	ADJ
cana-1223	206	21	algorithm	algorithm	NOUN
cana-1223	206	22	,	,	PUNCT
cana-1223	206	23	can	can	AUX
cana-1223	206	24	predict	predict	VERB
cana-1223	206	25	a	a	DET
cana-1223	206	26	student	student	NOUN
cana-1223	206	27	's	's	PART
cana-1223	206	28	academic	academic	ADJ
cana-1223	206	29	performance	performance	NOUN
cana-1223	206	30	by	by	ADP
cana-1223	206	31	learning	learn	VERB
cana-1223	206	32	heterogeneous	heterogeneous	ADJ
cana-1223	206	33	characteristics	characteristic	NOUN
cana-1223	206	34	from	from	ADP
cana-1223	206	35	the	the	DET
cana-1223	206	36	input	input	NOUN
cana-1223	206	37	data	datum	NOUN
cana-1223	206	38	.	.	PUNCT
cana-1223	207	1	communications	communication	NOUN
cana-1223	207	2	on	on	ADP
cana-1223	207	3	applied	apply	VERB
cana-1223	207	4	nonlinear	nonlinear	ADJ
cana-1223	207	5	analysis	analysis	NOUN
cana-1223	207	6	issn	issn	NOUN
cana-1223	207	7	:	:	PUNCT
cana-1223	207	8	1074	1074	NUM
cana-1223	207	9	-	-	PUNCT
cana-1223	207	10	133x	133x	NUM
cana-1223	207	11	vol	vol	NOUN
cana-1223	207	12	31	31	NUM
cana-1223	207	13	no	no	NOUN
cana-1223	207	14	.	.	PUNCT
cana-1223	208	1	6s	6s	NUM
cana-1223	208	2	(	(	PUNCT
cana-1223	208	3	2024	2024	NUM
cana-1223	208	4	)	)	PUNCT
cana-1223	208	5	301	301	NUM
cana-1223	208	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1223	208	7	4	4	X
cana-1223	208	8	.	.	PUNCT
cana-1223	208	9	experimental	experimental	ADJ
cana-1223	208	10	results	result	NOUN
cana-1223	208	11	this	this	DET
cana-1223	208	12	section	section	NOUN
cana-1223	208	13	presents	present	VERB
cana-1223	208	14	the	the	DET
cana-1223	208	15	egan	egan	PROPN
cana-1223	208	16	-	-	PUNCT
cana-1223	208	17	isaddl	isaddl	PROPN
cana-1223	208	18	model	model	NOUN
cana-1223	208	19	's	's	PART
cana-1223	208	20	effectiveness	effectiveness	NOUN
cana-1223	208	21	and	and	CCONJ
cana-1223	208	22	compares	compare	VERB
cana-1223	208	23	it	it	PRON
cana-1223	208	24	with	with	ADP
cana-1223	208	25	previous	previous	ADJ
cana-1223	208	26	models	model	NOUN
cana-1223	208	27	,	,	PUNCT
cana-1223	208	28	including	include	VERB
cana-1223	208	29	saddl	saddl	NOUN
cana-1223	208	30	[	[	X
cana-1223	208	31	8	8	NUM
cana-1223	208	32	]	]	PUNCT
cana-1223	208	33	,	,	PUNCT
cana-1223	208	34	egan	egan	PROPN
cana-1223	208	35	-	-	PUNCT
cana-1223	208	36	saddl	saddl	NOUN
cana-1223	209	1	[	[	X
cana-1223	209	2	9	9	NUM
cana-1223	209	3	]	]	PUNCT
cana-1223	209	4	,	,	PUNCT
cana-1223	209	5	gru	gru	PROPN
cana-1223	210	1	[	[	X
cana-1223	210	2	18	18	NUM
cana-1223	210	3	]	]	PUNCT
cana-1223	210	4	,	,	PUNCT
cana-1223	210	5	asist	asist	VERB
cana-1223	210	6	[	[	NOUN
cana-1223	210	7	19	19	NUM
cana-1223	210	8	]	]	PUNCT
cana-1223	210	9	,	,	PUNCT
cana-1223	210	10	and	and	CCONJ
cana-1223	210	11	dgnn	dgnn	NOUN
cana-1223	211	1	[	[	X
cana-1223	211	2	20	20	NUM
cana-1223	211	3	]	]	PUNCT
cana-1223	211	4	,	,	PUNCT
cana-1223	211	5	in	in	ADP
cana-1223	211	6	matlab	matlab	PROPN
cana-1223	211	7	2019b	2019b	NUM
cana-1223	211	8	.	.	PUNCT
cana-1223	212	1	to	to	PART
cana-1223	212	2	achieve	achieve	VERB
cana-1223	212	3	this	this	PRON
cana-1223	212	4	,	,	PUNCT
cana-1223	212	5	all	all	PRON
cana-1223	212	6	of	of	ADP
cana-1223	212	7	the	the	DET
cana-1223	212	8	existing	exist	VERB
cana-1223	212	9	models	model	NOUN
cana-1223	212	10	were	be	AUX
cana-1223	212	11	also	also	ADV
cana-1223	212	12	tested	test	VERB
cana-1223	212	13	using	use	VERB
cana-1223	212	14	the	the	DET
cana-1223	212	15	dataset	dataset	NOUN
cana-1223	212	16	presented	present	VERB
cana-1223	212	17	in	in	ADP
cana-1223	212	18	section	section	NOUN
cana-1223	212	19	3.1	3.1	NUM
cana-1223	212	20	.	.	PUNCT
cana-1223	212	21	table	table	NOUN
cana-1223	212	22	1	1	NUM
cana-1223	212	23	presents	present	VERB
cana-1223	212	24	the	the	DET
cana-1223	212	25	parameter	parameter	NOUN
cana-1223	212	26	settings	setting	NOUN
cana-1223	212	27	for	for	ADP
cana-1223	212	28	the	the	DET
cana-1223	212	29	proposed	propose	VERB
cana-1223	212	30	and	and	CCONJ
cana-1223	212	31	existing	exist	VERB
cana-1223	212	32	models	model	NOUN
cana-1223	212	33	.	.	PUNCT
cana-1223	213	1	table	table	NOUN
cana-1223	213	2	1	1	NUM
cana-1223	213	3	.	.	PUNCT
cana-1223	214	1	parameter	parameter	NOUN
cana-1223	214	2	settings	setting	NOUN
cana-1223	214	3	parameters	parameter	NOUN
cana-1223	214	4	range	range	VERB
cana-1223	214	5	learning	learn	VERB
cana-1223	214	6	rate	rate	NOUN
cana-1223	214	7	0.0001	0.0001	NUM
cana-1223	214	8	optimizer	optimizer	NOUN
cana-1223	214	9	adam	adam	NOUN
cana-1223	214	10	epochs	epoch	VERB
cana-1223	214	11	120	120	NUM
cana-1223	214	12	batch	batch	NOUN
cana-1223	214	13	size	size	NOUN
cana-1223	214	14	64	64	NUM
cana-1223	214	15	dropout	dropout	NOUN
cana-1223	214	16	0.5	0.5	NUM
cana-1223	214	17	momentum	momentum	NOUN
cana-1223	214	18	0.9	0.9	NUM
cana-1223	214	19	the	the	DET
cana-1223	214	20	performance	performance	NOUN
cana-1223	214	21	evaluation	evaluation	NOUN
cana-1223	214	22	metrics	metric	NOUN
cana-1223	214	23	encompass	encompass	VERB
cana-1223	214	24	the	the	DET
cana-1223	214	25	following	follow	VERB
cana-1223	214	26	measures	measure	NOUN
cana-1223	214	27	:	:	PUNCT
cana-1223	214	28	•	•	NUM
cana-1223	214	29	accuracy	accuracy	NOUN
cana-1223	214	30	:	:	PUNCT
cana-1223	214	31	it	it	PRON
cana-1223	214	32	is	be	AUX
cana-1223	214	33	the	the	DET
cana-1223	214	34	proportion	proportion	NOUN
cana-1223	214	35	of	of	ADP
cana-1223	214	36	an	an	DET
cana-1223	214	37	accurate	accurate	ADJ
cana-1223	214	38	expectation	expectation	NOUN
cana-1223	214	39	of	of	ADP
cana-1223	214	40	scholars	scholar	NOUN
cana-1223	214	41	’	'	PUNCT
cana-1223	214	42	results	result	NOUN
cana-1223	214	43	to	to	ADP
cana-1223	214	44	the	the	DET
cana-1223	214	45	overall	overall	ADJ
cana-1223	214	46	amount	amount	NOUN
cana-1223	214	47	of	of	ADP
cana-1223	214	48	data	datum	NOUN
cana-1223	214	49	tested	test	VERB
cana-1223	214	50	.	.	PUNCT
cana-1223	215	1	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	PROPN
cana-1223	215	2	=	=	PUNCT
cana-1223	216	1	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
cana-1223	216	2	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒	PROPN
cana-1223	216	3	(	(	PUNCT
cana-1223	216	4	𝑇𝑃)+𝑇𝑟𝑢𝑒𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒	𝑇𝑃)+𝑇𝑟𝑢𝑒𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒	PROPN
cana-1223	216	5	(	(	PUNCT
cana-1223	216	6	𝑇𝑁	𝑇𝑁	PROPN
cana-1223	216	7	)	)	PUNCT
cana-1223	216	8	𝑇𝑃+𝑇𝑁+𝐹𝑎𝑙𝑠𝑒	𝑇𝑃+𝑇𝑁+𝐹𝑎𝑙𝑠𝑒	NOUN
cana-1223	216	9	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒	PROPN
cana-1223	216	10	(	(	PUNCT
cana-1223	216	11	𝐹𝑃)+𝐹𝑎𝑙𝑠𝑒	𝐹𝑃)+𝐹𝑎𝑙𝑠𝑒	PROPN
cana-1223	216	12	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒	PROPN
cana-1223	216	13	(	(	PUNCT
cana-1223	216	14	𝐹𝑁	𝐹𝑁	PROPN
cana-1223	216	15	)	)	PUNCT
cana-1223	216	16	(	(	PUNCT
cana-1223	216	17	13	13	NUM
cana-1223	216	18	)	)	PUNCT
cana-1223	216	19	tp	tp	NOUN
cana-1223	216	20	is	be	AUX
cana-1223	216	21	the	the	DET
cana-1223	216	22	number	number	NOUN
cana-1223	216	23	of	of	ADP
cana-1223	216	24	+	+	PROPN
cana-1223	216	25	ve	ve	NOUN
cana-1223	216	26	records	record	NOUN
cana-1223	216	27	(	(	PUNCT
cana-1223	216	28	pass	pass	VERB
cana-1223	216	29	)	)	PUNCT
cana-1223	216	30	correctly	correctly	ADV
cana-1223	216	31	expected	expect	VERB
cana-1223	216	32	as	as	ADP
cana-1223	216	33	pass	pass	NOUN
cana-1223	216	34	,	,	PUNCT
cana-1223	216	35	tn	tn	PROPN
cana-1223	216	36	is	be	AUX
cana-1223	216	37	the	the	DET
cana-1223	216	38	number	number	NOUN
cana-1223	216	39	of	of	ADP
cana-1223	216	40	-ve	-ve	NOUN
cana-1223	216	41	records	record	NOUN
cana-1223	216	42	(	(	PUNCT
cana-1223	216	43	fail	fail	VERB
cana-1223	216	44	)	)	PUNCT
cana-1223	216	45	correctly	correctly	ADV
cana-1223	216	46	expected	expect	VERB
cana-1223	216	47	as	as	ADP
cana-1223	216	48	fail	fail	ADJ
cana-1223	216	49	,	,	PUNCT
cana-1223	216	50	fp	fp	X
cana-1223	216	51	is	be	AUX
cana-1223	216	52	the	the	DET
cana-1223	216	53	number	number	NOUN
cana-1223	216	54	of	of	ADP
cana-1223	216	55	-ve	-ve	NOUN
cana-1223	216	56	records	record	NOUN
cana-1223	216	57	incorrectly	incorrectly	ADV
cana-1223	216	58	expected	expect	VERB
cana-1223	216	59	as	as	ADP
cana-1223	216	60	pass	pass	NOUN
cana-1223	216	61	,	,	PUNCT
cana-1223	216	62	and	and	CCONJ
cana-1223	216	63	fn	fn	NOUN
cana-1223	216	64	is	be	AUX
cana-1223	216	65	the	the	DET
cana-1223	216	66	number	number	NOUN
cana-1223	216	67	of	of	ADP
cana-1223	216	68	+	+	NOUN
cana-1223	216	69	ve	ve	NOUN
cana-1223	216	70	records	record	NOUN
cana-1223	216	71	incorrectly	incorrectly	ADV
cana-1223	216	72	expected	expect	VERB
cana-1223	216	73	as	as	ADP
cana-1223	216	74	fail	fail	ADJ
cana-1223	216	75	.	.	PUNCT
cana-1223	217	1	•	•	NUM
cana-1223	217	2	precision	precision	NOUN
cana-1223	217	3	:	:	PUNCT
cana-1223	217	4	it	it	PRON
cana-1223	217	5	is	be	AUX
cana-1223	217	6	determined	determine	VERB
cana-1223	217	7	by	by	ADP
cana-1223	217	8	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
cana-1223	217	9	=	=	SYM
cana-1223	217	10	𝑇𝑃	𝑇𝑃	PROPN
cana-1223	217	11	𝑇𝑃+𝐹𝑃	𝑇𝑃+𝐹𝑃	NUM
cana-1223	217	12	(	(	PUNCT
cana-1223	217	13	14	14	NUM
cana-1223	217	14	)	)	PUNCT
cana-1223	217	15	•	•	NOUN
cana-1223	217	16	recall	recall	NOUN
cana-1223	217	17	:	:	PUNCT
cana-1223	217	18	it	it	PRON
cana-1223	217	19	is	be	AUX
cana-1223	217	20	determined	determine	VERB
cana-1223	217	21	by	by	ADP
cana-1223	217	22	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-1223	217	23	=	=	SYM
cana-1223	217	24	𝑇𝑃	𝑇𝑃	PROPN
cana-1223	217	25	𝑇𝑃+𝐹𝑁	𝑇𝑃+𝐹𝑁	NOUN
cana-1223	217	26	(	(	PUNCT
cana-1223	217	27	15	15	NUM
cana-1223	217	28	)	)	PUNCT
cana-1223	217	29	•	•	NOUN
cana-1223	218	1	f	f	X
cana-1223	218	2	-	-	PUNCT
cana-1223	218	3	measure	measure	NOUN
cana-1223	218	4	:	:	PUNCT
cana-1223	218	5	it	it	PRON
cana-1223	218	6	is	be	AUX
cana-1223	218	7	determined	determined	ADJ
cana-1223	218	8	as	as	ADP
cana-1223	218	9	:	:	PUNCT
cana-1223	218	10	𝐹	𝐹	PROPN
cana-1223	218	11	−	−	PROPN
cana-1223	218	12	𝑚𝑒𝑎𝑠𝑢𝑟𝑒	𝑚𝑒𝑎𝑠𝑢𝑟𝑒	ADV
cana-1223	218	13	=	=	SYM
cana-1223	218	14	2	2	NUM
cana-1223	218	15	×	×	NOUN
cana-1223	218	16	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛∙𝑅𝑒𝑐𝑎𝑙𝑙	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛∙𝑅𝑒𝑐𝑎𝑙𝑙	NOUN
cana-1223	218	17	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛+𝑅𝑒𝑐𝑎𝑙𝑙	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛+𝑅𝑒𝑐𝑎𝑙𝑙	X
cana-1223	218	18	(	(	PUNCT
cana-1223	218	19	16	16	NUM
cana-1223	218	20	)	)	PUNCT
cana-1223	218	21	•	•	NUM
cana-1223	218	22	rmse	rmse	NOUN
cana-1223	218	23	:	:	PUNCT
cana-1223	218	24	it	it	PRON
cana-1223	218	25	is	be	AUX
cana-1223	218	26	the	the	DET
cana-1223	218	27	discrepancy	discrepancy	NOUN
cana-1223	218	28	of	of	ADP
cana-1223	218	29	actual	actual	ADJ
cana-1223	218	30	grade	grade	NOUN
cana-1223	218	31	(	(	PUNCT
cana-1223	218	32	𝑦𝑔	𝑦𝑔	NOUN
cana-1223	218	33	)	)	PUNCT
cana-1223	218	34	and	and	CCONJ
cana-1223	218	35	predicted	predict	VERB
cana-1223	218	36	grade	grade	NOUN
cana-1223	218	37	(	(	PUNCT
cana-1223	218	38	𝑝𝑔	𝑝𝑔	PROPN
cana-1223	218	39	)	)	PUNCT
cana-1223	218	40	.	.	PUNCT
cana-1223	219	1	𝑅𝑀𝑆𝐸	𝑅𝑀𝑆𝐸	NOUN
cana-1223	219	2	=	=	PRON
cana-1223	220	1	√∑(𝑦𝑔	√∑(𝑦𝑔	ADP
cana-1223	220	2	−	−	NOUN
cana-1223	220	3	𝑝𝑔	𝑝𝑔	NOUN
cana-1223	220	4	)	)	PUNCT
cana-1223	220	5	2	2	NUM
cana-1223	220	6	𝑁⁄	𝑁⁄	PROPN
cana-1223	220	7	(	(	PUNCT
cana-1223	220	8	17	17	NUM
cana-1223	220	9	)	)	PUNCT
cana-1223	220	10	in	in	ADP
cana-1223	220	11	eq	eq	ADP
cana-1223	220	12	.	.	PUNCT
cana-1223	221	1	(	(	PUNCT
cana-1223	221	2	17	17	NUM
cana-1223	221	3	)	)	PUNCT
cana-1223	221	4	,	,	PUNCT
cana-1223	221	5	𝑁	𝑁	PROPN
cana-1223	221	6	is	be	AUX
cana-1223	221	7	the	the	DET
cana-1223	221	8	total	total	ADJ
cana-1223	221	9	number	number	NOUN
cana-1223	221	10	of	of	ADP
cana-1223	221	11	actual	actual	ADJ
cana-1223	221	12	performance	performance	NOUN
cana-1223	221	13	values	value	NOUN
cana-1223	221	14	.	.	PUNCT
cana-1223	222	1	communications	communication	NOUN
cana-1223	222	2	on	on	ADP
cana-1223	222	3	applied	apply	VERB
cana-1223	222	4	nonlinear	nonlinear	ADJ
cana-1223	222	5	analysis	analysis	NOUN
cana-1223	222	6	issn	issn	NOUN
cana-1223	222	7	:	:	PUNCT
cana-1223	222	8	1074	1074	NUM
cana-1223	222	9	-	-	PUNCT
cana-1223	222	10	133x	133x	NUM
cana-1223	222	11	vol	vol	NOUN
cana-1223	222	12	31	31	NUM
cana-1223	222	13	no	no	NOUN
cana-1223	222	14	.	.	PUNCT
cana-1223	223	1	6s	6s	NUM
cana-1223	223	2	(	(	PUNCT
cana-1223	223	3	2024	2024	NUM
cana-1223	223	4	)	)	PUNCT
cana-1223	223	5	302	302	NUM
cana-1223	223	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1223	223	7	figure	figure	NOUN
cana-1223	223	8	3	3	NUM
cana-1223	223	9	.	.	PUNCT
cana-1223	223	10	precision	precision	NOUN
cana-1223	223	11	,	,	PUNCT
cana-1223	223	12	recall	recall	NOUN
cana-1223	223	13	,	,	PUNCT
cana-1223	223	14	and	and	CCONJ
cana-1223	223	15	f	f	X
cana-1223	223	16	-	-	PUNCT
cana-1223	223	17	measure	measure	NOUN
cana-1223	223	18	of	of	ADP
cana-1223	223	19	different	different	ADJ
cana-1223	223	20	models	model	NOUN
cana-1223	223	21	for	for	ADP
cana-1223	223	22	student	student	NOUN
cana-1223	223	23	’s	’s	PART
cana-1223	223	24	academic	academic	ADJ
cana-1223	223	25	performance	performance	NOUN
cana-1223	223	26	prediction	prediction	NOUN
cana-1223	223	27	figure	figure	NOUN
cana-1223	223	28	3	3	NUM
cana-1223	223	29	shows	show	VERB
cana-1223	223	30	the	the	DET
cana-1223	223	31	performance	performance	NOUN
cana-1223	223	32	metrics	metric	NOUN
cana-1223	223	33	of	of	ADP
cana-1223	223	34	different	different	ADJ
cana-1223	223	35	models	model	NOUN
cana-1223	223	36	for	for	ADP
cana-1223	223	37	predicting	predict	VERB
cana-1223	223	38	student	student	NOUN
cana-1223	223	39	academic	academic	ADJ
cana-1223	223	40	performance	performance	NOUN
cana-1223	223	41	.	.	PUNCT
cana-1223	224	1	the	the	DET
cana-1223	224	2	egan	egan	PROPN
cana-1223	224	3	-	-	PUNCT
cana-1223	224	4	isaddl	isaddl	PROPN
cana-1223	224	5	model	model	NOUN
cana-1223	224	6	outperforms	outperform	VERB
cana-1223	224	7	others	other	NOUN
cana-1223	224	8	because	because	SCONJ
cana-1223	224	9	it	it	PRON
cana-1223	224	10	uses	use	VERB
cana-1223	224	11	multi	multi	ADJ
cana-1223	224	12	-	-	ADJ
cana-1223	224	13	view	view	ADJ
cana-1223	224	14	learning	learning	NOUN
cana-1223	224	15	.	.	PUNCT
cana-1223	225	1	compared	compare	VERB
cana-1223	225	2	to	to	ADP
cana-1223	225	3	gru	gru	PROPN
cana-1223	225	4	,	,	PUNCT
cana-1223	225	5	asist	asist	NOUN
cana-1223	225	6	,	,	PUNCT
cana-1223	225	7	dgnn	dgnn	NOUN
cana-1223	225	8	,	,	PUNCT
cana-1223	225	9	saddl	saddl	NOUN
cana-1223	225	10	,	,	PUNCT
cana-1223	225	11	and	and	CCONJ
cana-1223	225	12	egan	egan	PROPN
cana-1223	225	13	-	-	PUNCT
cana-1223	225	14	saddl	saddl	NOUN
cana-1223	225	15	,	,	PUNCT
cana-1223	225	16	the	the	DET
cana-1223	225	17	proposed	propose	VERB
cana-1223	225	18	egan	egan	PROPN
cana-1223	225	19	-	-	PUNCT
cana-1223	225	20	isaddl	isaddl	PROPN
cana-1223	225	21	achieves	achieve	VERB
cana-1223	225	22	higher	high	ADJ
cana-1223	225	23	precision	precision	NOUN
cana-1223	225	24	,	,	PUNCT
cana-1223	225	25	recall	recall	NOUN
cana-1223	225	26	,	,	PUNCT
cana-1223	225	27	and	and	CCONJ
cana-1223	225	28	f	f	X
cana-1223	225	29	-	-	PUNCT
cana-1223	225	30	measure	measure	NOUN
cana-1223	225	31	scores	score	NOUN
cana-1223	225	32	.	.	PUNCT
cana-1223	226	1	specifically	specifically	ADV
cana-1223	226	2	,	,	PUNCT
cana-1223	226	3	egan	egan	PROPN
cana-1223	226	4	-	-	PUNCT
cana-1223	226	5	isaddl	isaddl	NOUN
cana-1223	226	6	improves	improve	VERB
cana-1223	226	7	precision	precision	NOUN
cana-1223	226	8	by	by	ADP
cana-1223	226	9	8.38	8.38	NUM
cana-1223	226	10	%	%	NOUN
cana-1223	226	11	,	,	PUNCT
cana-1223	226	12	6.75	6.75	NUM
cana-1223	226	13	%	%	NOUN
cana-1223	226	14	,	,	PUNCT
cana-1223	226	15	6.07	6.07	NUM
cana-1223	226	16	%	%	NOUN
cana-1223	226	17	,	,	PUNCT
cana-1223	226	18	5.3	5.3	NUM
cana-1223	226	19	%	%	NOUN
cana-1223	226	20	,	,	PUNCT
cana-1223	226	21	and	and	CCONJ
cana-1223	226	22	2.41	2.41	NUM
cana-1223	226	23	%	%	NOUN
cana-1223	226	24	over	over	ADP
cana-1223	226	25	the	the	DET
cana-1223	226	26	other	other	ADJ
cana-1223	226	27	models	model	NOUN
cana-1223	226	28	,	,	PUNCT
cana-1223	226	29	while	while	SCONJ
cana-1223	226	30	also	also	ADV
cana-1223	226	31	increasing	increase	VERB
cana-1223	226	32	recall	recall	NOUN
cana-1223	226	33	by	by	ADP
cana-1223	226	34	7.81	7.81	NUM
cana-1223	226	35	%	%	NOUN
cana-1223	226	36	,	,	PUNCT
cana-1223	226	37	6.52	6.52	NUM
cana-1223	226	38	%	%	NOUN
cana-1223	226	39	,	,	PUNCT
cana-1223	226	40	5.5	5.5	NUM
cana-1223	226	41	%	%	NOUN
cana-1223	226	42	,	,	PUNCT
cana-1223	226	43	4.2	4.2	NUM
cana-1223	226	44	%	%	NOUN
cana-1223	226	45	,	,	PUNCT
cana-1223	226	46	and	and	CCONJ
cana-1223	226	47	2.18	2.18	NUM
cana-1223	226	48	%	%	NOUN
cana-1223	226	49	,	,	PUNCT
cana-1223	226	50	and	and	CCONJ
cana-1223	226	51	f	f	X
cana-1223	226	52	-	-	PUNCT
cana-1223	226	53	measure	measure	NOUN
cana-1223	226	54	by	by	ADP
cana-1223	226	55	8.1	8.1	NUM
cana-1223	226	56	%	%	NOUN
cana-1223	226	57	,	,	PUNCT
cana-1223	226	58	6.63	6.63	NUM
cana-1223	226	59	%	%	NOUN
cana-1223	226	60	,	,	PUNCT
cana-1223	226	61	5.79	5.79	NUM
cana-1223	226	62	%	%	NOUN
cana-1223	226	63	,	,	PUNCT
cana-1223	226	64	4.8	4.8	NUM
cana-1223	226	65	%	%	NOUN
cana-1223	226	66	,	,	PUNCT
cana-1223	226	67	and	and	CCONJ
cana-1223	226	68	2.31	2.31	NUM
cana-1223	226	69	%	%	NOUN
cana-1223	226	70	,	,	PUNCT
cana-1223	226	71	respectively	respectively	ADV
cana-1223	226	72	.	.	PUNCT
cana-1223	227	1	figure	figure	NOUN
cana-1223	227	2	4	4	NUM
cana-1223	227	3	shows	show	VERB
cana-1223	227	4	the	the	DET
cana-1223	227	5	accuracy	accuracy	NOUN
cana-1223	227	6	of	of	ADP
cana-1223	227	7	various	various	ADJ
cana-1223	227	8	models	model	NOUN
cana-1223	227	9	for	for	ADP
cana-1223	227	10	predicting	predict	VERB
cana-1223	227	11	academic	academic	ADJ
cana-1223	227	12	achievements	achievement	NOUN
cana-1223	227	13	.	.	PUNCT
cana-1223	228	1	the	the	DET
cana-1223	228	2	eganisaddl	eganisaddl	NOUN
cana-1223	228	3	model	model	NOUN
cana-1223	228	4	outperforms	outperform	VERB
cana-1223	228	5	other	other	ADJ
cana-1223	228	6	models	model	NOUN
cana-1223	228	7	,	,	PUNCT
cana-1223	228	8	including	include	VERB
cana-1223	228	9	gru	gru	PROPN
cana-1223	228	10	,	,	PUNCT
cana-1223	228	11	asist	asist	NOUN
cana-1223	228	12	,	,	PUNCT
cana-1223	228	13	dgnn	dgnn	NOUN
cana-1223	228	14	,	,	PUNCT
cana-1223	228	15	saddl	saddl	NOUN
cana-1223	228	16	,	,	PUNCT
cana-1223	228	17	and	and	CCONJ
cana-1223	228	18	egansaddl	egansaddl	NOUN
cana-1223	228	19	,	,	PUNCT
cana-1223	228	20	by	by	ADP
cana-1223	228	21	8.89	8.89	NUM
cana-1223	228	22	%	%	NOUN
cana-1223	228	23	,	,	PUNCT
cana-1223	228	24	8	8	NUM
cana-1223	228	25	%	%	NOUN
cana-1223	228	26	,	,	PUNCT
cana-1223	228	27	6.16	6.16	NUM
cana-1223	228	28	%	%	NOUN
cana-1223	228	29	,	,	PUNCT
cana-1223	228	30	4.98	4.98	NUM
cana-1223	228	31	%	%	NOUN
cana-1223	228	32	,	,	PUNCT
cana-1223	228	33	and	and	CCONJ
cana-1223	228	34	1.64	1.64	NUM
cana-1223	228	35	%	%	NOUN
cana-1223	228	36	,	,	PUNCT
cana-1223	228	37	respectively	respectively	ADV
cana-1223	228	38	.	.	PUNCT
cana-1223	229	1	this	this	PRON
cana-1223	229	2	indicates	indicate	VERB
cana-1223	229	3	that	that	SCONJ
cana-1223	229	4	the	the	DET
cana-1223	229	5	eganisaddl	eganisaddl	NOUN
cana-1223	229	6	model	model	NOUN
cana-1223	229	7	excels	excel	VERB
cana-1223	229	8	at	at	ADP
cana-1223	229	9	accurately	accurately	ADV
cana-1223	229	10	predicting	predict	VERB
cana-1223	229	11	student	student	NOUN
cana-1223	229	12	achievements	achievement	NOUN
cana-1223	229	13	through	through	ADP
cana-1223	229	14	multi	multi	ADJ
cana-1223	229	15	-	-	ADJ
cana-1223	229	16	view	view	ADJ
cana-1223	229	17	learning	learning	NOUN
cana-1223	229	18	compared	compare	VERB
cana-1223	229	19	to	to	ADP
cana-1223	229	20	single	single	ADJ
cana-1223	229	21	-	-	PUNCT
cana-1223	229	22	view	view	NOUN
cana-1223	229	23	learning	learning	NOUN
cana-1223	229	24	used	use	VERB
cana-1223	229	25	by	by	ADP
cana-1223	229	26	other	other	ADJ
cana-1223	229	27	models	model	NOUN
cana-1223	229	28	.	.	PUNCT
cana-1223	230	1	figure	figure	VERB
cana-1223	230	2	4	4	NUM
cana-1223	230	3	.	.	PUNCT
cana-1223	230	4	accuracy	accuracy	NOUN
cana-1223	230	5	of	of	ADP
cana-1223	230	6	different	different	ADJ
cana-1223	230	7	models	model	NOUN
cana-1223	230	8	for	for	ADP
cana-1223	230	9	student	student	NOUN
cana-1223	230	10	’s	’s	PART
cana-1223	230	11	academic	academic	ADJ
cana-1223	230	12	performance	performance	NOUN
cana-1223	230	13	prediction	prediction	NOUN
cana-1223	230	14	figure	figure	NOUN
cana-1223	230	15	5	5	NUM
cana-1223	230	16	.	.	PUNCT
cana-1223	230	17	rmse	rmse	NOUN
cana-1223	230	18	of	of	ADP
cana-1223	230	19	different	different	ADJ
cana-1223	230	20	models	model	NOUN
cana-1223	230	21	for	for	ADP
cana-1223	230	22	student	student	NOUN
cana-1223	230	23	’s	’s	PART
cana-1223	230	24	academic	academic	ADJ
cana-1223	230	25	performance	performance	NOUN
cana-1223	230	26	prediction	prediction	NOUN
cana-1223	230	27	figure	figure	NOUN
cana-1223	230	28	5	5	NUM
cana-1223	230	29	shows	show	VERB
cana-1223	230	30	a	a	DET
cana-1223	230	31	comparison	comparison	NOUN
cana-1223	230	32	of	of	ADP
cana-1223	230	33	rmse	rmse	NOUN
cana-1223	230	34	for	for	ADP
cana-1223	230	35	different	different	ADJ
cana-1223	230	36	student	student	NOUN
cana-1223	230	37	academic	academic	ADJ
cana-1223	230	38	performance	performance	NOUN
cana-1223	230	39	prediction	prediction	NOUN
cana-1223	230	40	models	model	NOUN
cana-1223	230	41	.	.	PUNCT
cana-1223	231	1	the	the	DET
cana-1223	231	2	egan	egan	PROPN
cana-1223	231	3	-	-	PUNCT
cana-1223	231	4	isaddl	isaddl	PROPN
cana-1223	231	5	model	model	NOUN
cana-1223	231	6	outperforms	outperform	VERB
cana-1223	231	7	the	the	DET
cana-1223	231	8	gru	gru	NOUN
cana-1223	231	9	,	,	PUNCT
cana-1223	231	10	asist	asist	NOUN
cana-1223	231	11	,	,	PUNCT
cana-1223	231	12	dgnn	dgnn	NOUN
cana-1223	231	13	,	,	PUNCT
cana-1223	231	14	saddl	saddl	NOUN
cana-1223	231	15	,	,	PUNCT
cana-1223	231	16	and	and	CCONJ
cana-1223	231	17	egan	egan	PROPN
cana-1223	231	18	-	-	PUNCT
cana-1223	231	19	saddl	saddl	NOUN
cana-1223	231	20	models	model	NOUN
cana-1223	231	21	,	,	PUNCT
cana-1223	231	22	reducing	reduce	VERB
cana-1223	231	23	the	the	DET
cana-1223	231	24	rmse	rmse	NOUN
cana-1223	231	25	by	by	ADP
cana-1223	231	26	43.31	43.31	NUM
cana-1223	231	27	%	%	NOUN
cana-1223	231	28	,	,	PUNCT
cana-1223	231	29	41.44	41.44	NUM
cana-1223	231	30	%	%	NOUN
cana-1223	231	31	,	,	PUNCT
cana-1223	231	32	36.77	36.77	NUM
cana-1223	231	33	%	%	NOUN
cana-1223	231	34	,	,	PUNCT
cana-1223	231	35	32.97	32.97	NUM
cana-1223	231	36	%	%	NOUN
cana-1223	231	37	,	,	PUNCT
cana-1223	231	38	and	and	CCONJ
cana-1223	231	39	15.98	15.98	NUM
cana-1223	231	40	%	%	NOUN
cana-1223	231	41	,	,	PUNCT
cana-1223	231	42	respectively	respectively	ADV
cana-1223	231	43	.	.	PUNCT
cana-1223	232	1	this	this	PRON
cana-1223	232	2	indicates	indicate	VERB
cana-1223	232	3	that	that	SCONJ
cana-1223	232	4	the	the	DET
cana-1223	232	5	egan	egan	PROPN
cana-1223	232	6	-	-	PUNCT
cana-1223	232	7	isaddl	isaddl	PROPN
cana-1223	232	8	model	model	NOUN
cana-1223	232	9	effectively	effectively	ADV
cana-1223	232	10	improves	improve	VERB
cana-1223	232	11	the	the	DET
cana-1223	232	12	accuracy	accuracy	NOUN
cana-1223	232	13	of	of	ADP
cana-1223	232	14	predicting	predict	VERB
cana-1223	232	15	student	student	NOUN
cana-1223	232	16	academic	academic	ADJ
cana-1223	232	17	achievement	achievement	NOUN
cana-1223	232	18	by	by	ADP
cana-1223	232	19	using	use	VERB
cana-1223	232	20	multi	multi	ADJ
cana-1223	232	21	-	-	ADJ
cana-1223	232	22	view	view	ADJ
cana-1223	232	23	learning	learning	NOUN
cana-1223	232	24	.	.	PUNCT
cana-1223	233	1	communications	communication	NOUN
cana-1223	233	2	on	on	ADP
cana-1223	233	3	applied	apply	VERB
cana-1223	233	4	nonlinear	nonlinear	ADJ
cana-1223	233	5	analysis	analysis	NOUN
cana-1223	233	6	issn	issn	NOUN
cana-1223	233	7	:	:	PUNCT
cana-1223	233	8	1074	1074	NUM
cana-1223	233	9	-	-	PUNCT
cana-1223	233	10	133x	133x	NUM
cana-1223	233	11	vol	vol	NOUN
cana-1223	233	12	31	31	NUM
cana-1223	233	13	no	no	NOUN
cana-1223	233	14	.	.	PUNCT
cana-1223	234	1	6s	6s	NUM
cana-1223	234	2	(	(	PUNCT
cana-1223	234	3	2024	2024	NUM
cana-1223	234	4	)	)	PUNCT
cana-1223	234	5	303	303	NUM
cana-1223	234	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1223	234	7	5	5	NUM
cana-1223	234	8	.	.	PUNCT
cana-1223	234	9	conclusion	conclusion	NOUN
cana-1223	234	10	this	this	DET
cana-1223	234	11	paper	paper	NOUN
cana-1223	234	12	presents	present	VERB
cana-1223	234	13	the	the	DET
cana-1223	234	14	egan	egan	PROPN
cana-1223	234	15	-	-	PUNCT
cana-1223	234	16	isaddl	isaddl	PROPN
cana-1223	234	17	model	model	NOUN
cana-1223	234	18	,	,	PUNCT
cana-1223	234	19	a	a	DET
cana-1223	234	20	novel	novel	ADJ
cana-1223	234	21	multi	multi	ADJ
cana-1223	234	22	-	-	ADJ
cana-1223	234	23	view	view	ADJ
cana-1223	234	24	learning	learn	VERB
cana-1223	234	25	approach	approach	NOUN
cana-1223	234	26	for	for	ADP
cana-1223	234	27	predicting	predict	VERB
cana-1223	234	28	student	student	NOUN
cana-1223	234	29	academic	academic	ADJ
cana-1223	234	30	performance	performance	NOUN
cana-1223	234	31	.	.	PUNCT
cana-1223	235	1	by	by	ADP
cana-1223	235	2	integrating	integrate	VERB
cana-1223	235	3	features	feature	NOUN
cana-1223	235	4	extracted	extract	VERB
cana-1223	235	5	from	from	ADP
cana-1223	235	6	the	the	DET
cana-1223	235	7	lstm	lstm	PROPN
cana-1223	235	8	-	-	PUNCT
cana-1223	235	9	dcnn	dcnn	ADJ
cana-1223	235	10	and	and	CCONJ
cana-1223	235	11	renn	renn	PROPN
cana-1223	235	12	models	model	NOUN
cana-1223	235	13	and	and	CCONJ
cana-1223	235	14	using	use	VERB
cana-1223	235	15	the	the	DET
cana-1223	235	16	smvmed	smvme	VERB
cana-1223	235	17	algorithm	algorithm	NOUN
cana-1223	235	18	for	for	ADP
cana-1223	235	19	multi	multi	ADJ
cana-1223	235	20	-	-	ADJ
cana-1223	235	21	view	view	ADJ
cana-1223	235	22	classification	classification	NOUN
cana-1223	235	23	,	,	PUNCT
cana-1223	235	24	the	the	DET
cana-1223	235	25	proposed	propose	VERB
cana-1223	235	26	model	model	NOUN
cana-1223	235	27	effectively	effectively	ADV
cana-1223	235	28	handles	handle	VERB
cana-1223	235	29	heterogeneous	heterogeneous	ADJ
cana-1223	235	30	student	student	NOUN
cana-1223	235	31	data	datum	NOUN
cana-1223	235	32	and	and	CCONJ
cana-1223	235	33	captures	capture	VERB
cana-1223	235	34	complex	complex	ADJ
cana-1223	235	35	relationships	relationship	NOUN
cana-1223	235	36	.	.	PUNCT
cana-1223	236	1	extensive	extensive	ADJ
cana-1223	236	2	experiments	experiment	NOUN
cana-1223	236	3	demonstrated	demonstrate	VERB
cana-1223	236	4	the	the	DET
cana-1223	236	5	superiority	superiority	NOUN
cana-1223	236	6	of	of	ADP
cana-1223	236	7	egan	egan	PROPN
cana-1223	236	8	-	-	PUNCT
cana-1223	236	9	isaddl	isaddl	NOUN
cana-1223	236	10	over	over	ADP
cana-1223	236	11	existing	exist	VERB
cana-1223	236	12	models	model	NOUN
cana-1223	236	13	,	,	PUNCT
cana-1223	236	14	achieving	achieve	VERB
cana-1223	236	15	96.28	96.28	NUM
cana-1223	236	16	%	%	NOUN
cana-1223	236	17	accuracy	accuracy	NOUN
cana-1223	236	18	and	and	CCONJ
cana-1223	236	19	0.1929	0.1929	NUM
cana-1223	236	20	rmse	rmse	NOUN
cana-1223	236	21	.	.	PUNCT
cana-1223	237	1	these	these	DET
cana-1223	237	2	results	result	NOUN
cana-1223	237	3	highlight	highlight	VERB
cana-1223	237	4	the	the	DET
cana-1223	237	5	model	model	NOUN
cana-1223	237	6	's	's	PART
cana-1223	237	7	potential	potential	NOUN
cana-1223	237	8	as	as	ADP
cana-1223	237	9	a	a	DET
cana-1223	237	10	valuable	valuable	ADJ
cana-1223	237	11	tool	tool	NOUN
cana-1223	237	12	for	for	ADP
cana-1223	237	13	educational	educational	ADJ
cana-1223	237	14	institutions	institution	NOUN
cana-1223	237	15	in	in	ADP
cana-1223	237	16	the	the	DET
cana-1223	237	17	early	early	ADJ
cana-1223	237	18	identification	identification	NOUN
cana-1223	237	19	of	of	ADP
cana-1223	237	20	at	at	ADP
cana-1223	237	21	-	-	PUNCT
cana-1223	237	22	risk	risk	NOUN
cana-1223	237	23	students	student	NOUN
cana-1223	237	24	and	and	CCONJ
cana-1223	237	25	the	the	DET
cana-1223	237	26	implementation	implementation	NOUN
cana-1223	237	27	of	of	ADP
cana-1223	237	28	targeted	target	VERB
cana-1223	237	29	interventions	intervention	NOUN
cana-1223	237	30	.	.	PUNCT
cana-1223	238	1	the	the	DET
cana-1223	238	2	egan	egan	PROPN
cana-1223	238	3	-	-	PUNCT
cana-1223	238	4	isaddl	isaddl	NOUN
cana-1223	238	5	model	model	NOUN
cana-1223	238	6	represents	represent	VERB
cana-1223	238	7	a	a	DET
cana-1223	238	8	significant	significant	ADJ
cana-1223	238	9	advancement	advancement	NOUN
cana-1223	238	10	in	in	ADP
cana-1223	238	11	student	student	NOUN
cana-1223	238	12	performance	performance	NOUN
cana-1223	238	13	prediction	prediction	NOUN
cana-1223	238	14	,	,	PUNCT
cana-1223	238	15	offering	offer	VERB
cana-1223	238	16	improved	improved	ADJ
cana-1223	238	17	accuracy	accuracy	NOUN
cana-1223	238	18	and	and	CCONJ
cana-1223	238	19	robustness	robustness	NOUN
cana-1223	238	20	in	in	ADP
cana-1223	238	21	handling	handle	VERB
cana-1223	238	22	diverse	diverse	ADJ
cana-1223	238	23	data	datum	NOUN
cana-1223	238	24	sources	source	NOUN
cana-1223	238	25	.	.	PUNCT
cana-1223	239	1	it	it	PRON
cana-1223	239	2	has	have	VERB
cana-1223	239	3	the	the	DET
cana-1223	239	4	potential	potential	NOUN
cana-1223	239	5	to	to	PART
cana-1223	239	6	enhance	enhance	VERB
cana-1223	239	7	educational	educational	ADJ
cana-1223	239	8	support	support	NOUN
cana-1223	239	9	systems	system	NOUN
cana-1223	239	10	and	and	CCONJ
cana-1223	239	11	contribute	contribute	VERB
cana-1223	239	12	to	to	ADP
cana-1223	239	13	better	well	ADJ
cana-1223	239	14	academic	academic	ADJ
cana-1223	239	15	outcomes	outcome	NOUN
cana-1223	239	16	for	for	ADP
cana-1223	239	17	students	student	NOUN
cana-1223	239	18	.	.	PUNCT
cana-1223	240	1	references	reference	NOUN
cana-1223	240	2	[	[	X
cana-1223	240	3	1	1	NUM
cana-1223	240	4	]	]	PUNCT
cana-1223	240	5	mori	mori	NOUN
cana-1223	240	6	,	,	PUNCT
cana-1223	240	7	y.	y.	PROPN
cana-1223	240	8	,	,	PUNCT
cana-1223	240	9	tiiri	tiiri	ADV
cana-1223	240	10	,	,	PUNCT
cana-1223	240	11	e.	e.	PROPN
cana-1223	240	12	,	,	PUNCT
cana-1223	240	13	khanal	khanal	NOUN
cana-1223	240	14	,	,	PUNCT
cana-1223	240	15	p.	p.	NOUN
cana-1223	240	16	,	,	PUNCT
cana-1223	240	17	khakurel	khakurel	PROPN
cana-1223	240	18	,	,	PUNCT
cana-1223	240	19	j.	j.	PROPN
cana-1223	240	20	,	,	PUNCT
cana-1223	240	21	mishina	mishina	PROPN
cana-1223	240	22	,	,	PUNCT
cana-1223	240	23	k.	k.	PROPN
cana-1223	240	24	,	,	PUNCT
cana-1223	240	25	&	&	CCONJ
cana-1223	240	26	sourander	sourander	PROPN
cana-1223	240	27	,	,	PUNCT
cana-1223	240	28	a.	a.	NOUN
cana-1223	240	29	(	(	PUNCT
cana-1223	240	30	2021	2021	NUM
cana-1223	240	31	)	)	PUNCT
cana-1223	240	32	.	.	PUNCT
cana-1223	241	1	feeling	feel	VERB
cana-1223	241	2	unsafe	unsafe	ADJ
cana-1223	241	3	at	at	ADP
cana-1223	241	4	school	school	NOUN
cana-1223	241	5	and	and	CCONJ
cana-1223	241	6	associated	associate	VERB
cana-1223	241	7	mental	mental	ADJ
cana-1223	241	8	health	health	NOUN
cana-1223	241	9	difficulties	difficulty	NOUN
cana-1223	241	10	among	among	ADP
cana-1223	241	11	children	child	NOUN
cana-1223	241	12	and	and	CCONJ
cana-1223	241	13	adolescents	adolescent	NOUN
cana-1223	241	14	:	:	PUNCT
cana-1223	241	15	a	a	DET
cana-1223	241	16	systematic	systematic	ADJ
cana-1223	241	17	review	review	NOUN
cana-1223	241	18	.	.	PUNCT
cana-1223	242	1	children	child	NOUN
cana-1223	242	2	,	,	PUNCT
cana-1223	242	3	8(3	8(3	NUM
cana-1223	242	4	)	)	PUNCT
cana-1223	242	5	,	,	PUNCT
cana-1223	242	6	232	232	X
cana-1223	242	7	.	.	PUNCT
cana-1223	243	1	[	[	X
cana-1223	243	2	2	2	NUM
cana-1223	243	3	]	]	X
cana-1223	243	4	zhang	zhang	PROPN
cana-1223	243	5	,	,	PUNCT
cana-1223	243	6	y.	y.	PROPN
cana-1223	243	7	,	,	PUNCT
cana-1223	243	8	yun	yun	PROPN
cana-1223	243	9	,	,	PUNCT
cana-1223	243	10	y.	y.	PROPN
cana-1223	243	11	,	,	PUNCT
cana-1223	243	12	an	an	PRON
cana-1223	243	13	,	,	PUNCT
cana-1223	243	14	r.	r.	PROPN
cana-1223	243	15	,	,	PUNCT
cana-1223	243	16	cui	cui	PROPN
cana-1223	243	17	,	,	PUNCT
cana-1223	243	18	j.	j.	PROPN
cana-1223	243	19	,	,	PUNCT
cana-1223	243	20	dai	dai	PROPN
cana-1223	243	21	,	,	PUNCT
cana-1223	243	22	h.	h.	PROPN
cana-1223	243	23	,	,	PUNCT
cana-1223	243	24	&	&	CCONJ
cana-1223	243	25	shang	shang	PROPN
cana-1223	243	26	,	,	PUNCT
cana-1223	243	27	x.	x.	NOUN
cana-1223	243	28	(	(	PUNCT
cana-1223	243	29	2021	2021	NUM
cana-1223	243	30	)	)	PUNCT
cana-1223	243	31	.	.	PUNCT
cana-1223	244	1	educational	educational	ADJ
cana-1223	244	2	data	datum	NOUN
cana-1223	244	3	mining	mining	NOUN
cana-1223	244	4	techniques	technique	NOUN
cana-1223	244	5	for	for	ADP
cana-1223	244	6	student	student	NOUN
cana-1223	244	7	performance	performance	NOUN
cana-1223	244	8	prediction	prediction	NOUN
cana-1223	244	9	:	:	PUNCT
cana-1223	244	10	method	method	PROPN
cana-1223	244	11	review	review	NOUN
cana-1223	244	12	and	and	CCONJ
cana-1223	244	13	comparison	comparison	NOUN
cana-1223	244	14	analysis	analysis	NOUN
cana-1223	244	15	.	.	PUNCT
cana-1223	245	1	frontiers	frontier	NOUN
cana-1223	245	2	in	in	ADP
cana-1223	245	3	psychology	psychology	NOUN
cana-1223	245	4	,	,	PUNCT
cana-1223	245	5	12	12	NUM
cana-1223	245	6	,	,	PUNCT
cana-1223	245	7	698490	698490	NUM
cana-1223	245	8	.	.	PUNCT
cana-1223	246	1	[	[	X
cana-1223	246	2	3	3	NUM
cana-1223	246	3	]	]	X
cana-1223	246	4	khan	khan	PROPN
cana-1223	246	5	,	,	PUNCT
cana-1223	246	6	i.	i.	PROPN
cana-1223	246	7	,	,	PUNCT
cana-1223	246	8	ahmad	ahmad	PROPN
cana-1223	246	9	,	,	PUNCT
cana-1223	246	10	a.	a.	PROPN
cana-1223	246	11	r.	r.	PROPN
cana-1223	246	12	,	,	PUNCT
cana-1223	246	13	jabeur	jabeur	PROPN
cana-1223	246	14	,	,	PUNCT
cana-1223	246	15	n.	n.	NOUN
cana-1223	246	16	,	,	PUNCT
cana-1223	246	17	&	&	CCONJ
cana-1223	246	18	mahdi	mahdi	PROPN
cana-1223	246	19	,	,	PUNCT
cana-1223	246	20	m.	m.	NOUN
cana-1223	246	21	n.	n.	PROPN
cana-1223	246	22	(	(	PUNCT
cana-1223	246	23	2021	2021	NUM
cana-1223	246	24	)	)	PUNCT
cana-1223	246	25	.	.	PUNCT
cana-1223	247	1	an	an	DET
cana-1223	247	2	artificial	artificial	ADJ
cana-1223	247	3	intelligence	intelligence	NOUN
cana-1223	247	4	approach	approach	NOUN
cana-1223	247	5	to	to	PART
cana-1223	247	6	monitor	monitor	VERB
cana-1223	247	7	student	student	NOUN
cana-1223	247	8	performance	performance	NOUN
cana-1223	247	9	and	and	CCONJ
cana-1223	247	10	devise	devise	VERB
cana-1223	247	11	preventive	preventive	ADJ
cana-1223	247	12	measures	measure	NOUN
cana-1223	247	13	.	.	PUNCT
cana-1223	248	1	smart	smart	ADJ
cana-1223	248	2	learning	learning	NOUN
cana-1223	248	3	environments	environment	NOUN
cana-1223	248	4	,	,	PUNCT
cana-1223	248	5	8	8	NUM
cana-1223	248	6	,	,	PUNCT
cana-1223	248	7	1	1	NUM
cana-1223	248	8	-	-	SYM
cana-1223	248	9	18	18	NUM
cana-1223	248	10	.	.	PUNCT
cana-1223	249	1	[	[	X
cana-1223	249	2	4	4	NUM
cana-1223	249	3	]	]	X
cana-1223	249	4	bressane	bressane	ADJ
cana-1223	249	5	,	,	PUNCT
cana-1223	249	6	a.	a.	NOUN
cana-1223	249	7	,	,	PUNCT
cana-1223	249	8	zwirn	zwirn	PROPN
cana-1223	249	9	,	,	PUNCT
cana-1223	249	10	d.	d.	PROPN
cana-1223	249	11	,	,	PUNCT
cana-1223	249	12	essiptchouk	essiptchouk	PROPN
cana-1223	249	13	,	,	PUNCT
cana-1223	249	14	a.	a.	NOUN
cana-1223	249	15	,	,	PUNCT
cana-1223	249	16	saraiva	saraiva	PROPN
cana-1223	249	17	,	,	PUNCT
cana-1223	250	1	a.	a.	PROPN
cana-1223	250	2	c.	c.	PROPN
cana-1223	250	3	v.	v.	PROPN
cana-1223	250	4	,	,	PUNCT
cana-1223	250	5	de	de	PROPN
cana-1223	250	6	campos	campos	PROPN
cana-1223	250	7	carvalho	carvalho	PROPN
cana-1223	250	8	,	,	PUNCT
cana-1223	250	9	f.	f.	PROPN
cana-1223	250	10	l.	l.	PROPN
cana-1223	250	11	,	,	PUNCT
cana-1223	250	12	formiga	formiga	PROPN
cana-1223	250	13	,	,	PUNCT
cana-1223	250	14	j.	j.	PROPN
cana-1223	250	15	k.	k.	PROPN
cana-1223	250	16	s.	s.	PROPN
cana-1223	250	17	,	,	PUNCT
cana-1223	250	18	...	...	PUNCT
cana-1223	250	19	&	&	CCONJ
cana-1223	250	20	negri	negri	PROPN
cana-1223	250	21	,	,	PUNCT
cana-1223	250	22	r.	r.	PROPN
cana-1223	250	23	g.	g.	PROPN
cana-1223	250	24	(	(	PUNCT
cana-1223	250	25	2024	2024	NUM
cana-1223	250	26	)	)	PUNCT
cana-1223	250	27	.	.	PUNCT
cana-1223	251	1	understanding	understand	VERB
cana-1223	251	2	the	the	DET
cana-1223	251	3	role	role	NOUN
cana-1223	251	4	of	of	ADP
cana-1223	251	5	study	study	NOUN
cana-1223	251	6	strategies	strategy	NOUN
cana-1223	251	7	and	and	CCONJ
cana-1223	251	8	learning	learn	VERB
cana-1223	251	9	disabilities	disability	NOUN
cana-1223	251	10	on	on	ADP
cana-1223	251	11	student	student	NOUN
cana-1223	251	12	academic	academic	ADJ
cana-1223	251	13	performance	performance	NOUN
cana-1223	251	14	to	to	PART
cana-1223	251	15	enhance	enhance	VERB
cana-1223	251	16	educational	educational	ADJ
cana-1223	251	17	approaches	approach	NOUN
cana-1223	251	18	:	:	PUNCT
cana-1223	251	19	a	a	DET
cana-1223	251	20	proposal	proposal	NOUN
cana-1223	251	21	using	use	VERB
cana-1223	251	22	artificial	artificial	ADJ
cana-1223	251	23	intelligence	intelligence	NOUN
cana-1223	251	24	.	.	PUNCT
cana-1223	252	1	computers	computer	NOUN
cana-1223	252	2	and	and	CCONJ
cana-1223	252	3	education	education	NOUN
cana-1223	252	4	:	:	PUNCT
cana-1223	252	5	artificial	artificial	ADJ
cana-1223	252	6	intelligence	intelligence	NOUN
cana-1223	252	7	,	,	PUNCT
cana-1223	252	8	6	6	NUM
cana-1223	252	9	,	,	PUNCT
cana-1223	252	10	100196	100196	NUM
cana-1223	252	11	.	.	PUNCT
cana-1223	253	1	[	[	X
cana-1223	253	2	5	5	NUM
cana-1223	253	3	]	]	PUNCT
cana-1223	253	4	pallathadka	pallathadka	NOUN
cana-1223	253	5	,	,	PUNCT
cana-1223	253	6	h.	h.	PROPN
cana-1223	253	7	,	,	PUNCT
cana-1223	253	8	wenda	wenda	PROPN
cana-1223	253	9	,	,	PUNCT
cana-1223	253	10	a.	a.	NOUN
cana-1223	253	11	,	,	PUNCT
cana-1223	253	12	ramirez	ramirez	PROPN
cana-1223	253	13	-	-	PUNCT
cana-1223	253	14	asís	asís	PROPN
cana-1223	253	15	,	,	PUNCT
cana-1223	253	16	e.	e.	PROPN
cana-1223	253	17	,	,	PUNCT
cana-1223	253	18	asís	asís	PROPN
cana-1223	253	19	-	-	PUNCT
cana-1223	253	20	lópez	lópez	PROPN
cana-1223	253	21	,	,	PUNCT
cana-1223	253	22	m.	m.	NOUN
cana-1223	253	23	,	,	PUNCT
cana-1223	253	24	flores	flore	NOUN
cana-1223	253	25	-	-	PUNCT
cana-1223	253	26	albornoz	albornoz	PROPN
cana-1223	253	27	,	,	PUNCT
cana-1223	253	28	j.	j.	PROPN
cana-1223	253	29	,	,	PUNCT
cana-1223	253	30	&	&	CCONJ
cana-1223	253	31	phasinam	phasinam	PROPN
cana-1223	253	32	,	,	PUNCT
cana-1223	253	33	k.	k.	PROPN
cana-1223	253	34	(	(	PUNCT
cana-1223	253	35	2023	2023	NUM
cana-1223	253	36	)	)	PUNCT
cana-1223	253	37	.	.	PUNCT
cana-1223	254	1	classification	classification	NOUN
cana-1223	254	2	and	and	CCONJ
cana-1223	254	3	prediction	prediction	NOUN
cana-1223	254	4	of	of	ADP
cana-1223	254	5	student	student	NOUN
cana-1223	254	6	performance	performance	NOUN
cana-1223	254	7	data	datum	NOUN
cana-1223	254	8	using	use	VERB
cana-1223	254	9	various	various	ADJ
cana-1223	254	10	machine	machine	NOUN
cana-1223	254	11	learning	learn	VERB
cana-1223	254	12	algorithms	algorithm	NOUN
cana-1223	254	13	.	.	PUNCT
cana-1223	255	1	materials	material	NOUN
cana-1223	255	2	today	today	NOUN
cana-1223	255	3	:	:	PUNCT
cana-1223	255	4	proceedings	proceeding	NOUN
cana-1223	255	5	,	,	PUNCT
cana-1223	255	6	80	80	NUM
cana-1223	255	7	,	,	PUNCT
cana-1223	255	8	3782	3782	NUM
cana-1223	255	9	-	-	SYM
cana-1223	255	10	3785	3785	NUM
cana-1223	255	11	.	.	PUNCT
cana-1223	256	1	[	[	X
cana-1223	256	2	6	6	NUM
cana-1223	256	3	]	]	X
cana-1223	256	4	lópez	lópez	NOUN
cana-1223	256	5	-	-	PUNCT
cana-1223	256	6	garcía	garcía	ADJ
cana-1223	256	7	,	,	PUNCT
cana-1223	256	8	a.	a.	NOUN
cana-1223	256	9	,	,	PUNCT
cana-1223	256	10	blasco	blasco	PROPN
cana-1223	256	11	-	-	PUNCT
cana-1223	256	12	blasco	blasco	PROPN
cana-1223	256	13	,	,	PUNCT
cana-1223	256	14	o.	o.	NOUN
cana-1223	256	15	,	,	PUNCT
cana-1223	256	16	liern	liern	NOUN
cana-1223	256	17	-	-	PUNCT
cana-1223	256	18	garcía	garcía	ADJ
cana-1223	256	19	,	,	PUNCT
cana-1223	256	20	m.	m.	NOUN
cana-1223	256	21	,	,	PUNCT
cana-1223	256	22	&	&	CCONJ
cana-1223	256	23	parada	parada	PROPN
cana-1223	256	24	-	-	PUNCT
cana-1223	256	25	rico	rico	PROPN
cana-1223	256	26	,	,	PUNCT
cana-1223	256	27	s.	s.	PROPN
cana-1223	256	28	e.	e.	PROPN
cana-1223	256	29	(	(	PUNCT
cana-1223	256	30	2023	2023	NUM
cana-1223	256	31	)	)	PUNCT
cana-1223	256	32	.	.	PUNCT
cana-1223	257	1	early	early	ADJ
cana-1223	257	2	detection	detection	NOUN
cana-1223	257	3	of	of	ADP
cana-1223	257	4	students	student	NOUN
cana-1223	257	5	’	'	PUNCT
cana-1223	257	6	failure	failure	NOUN
cana-1223	257	7	using	use	VERB
cana-1223	257	8	machine	machine	NOUN
cana-1223	257	9	learning	learn	VERB
cana-1223	257	10	techniques	technique	NOUN
cana-1223	257	11	.	.	PUNCT
cana-1223	258	1	operations	operation	NOUN
cana-1223	258	2	research	research	NOUN
cana-1223	258	3	perspectives	perspective	NOUN
cana-1223	258	4	,	,	PUNCT
cana-1223	258	5	11	11	NUM
cana-1223	258	6	,	,	PUNCT
cana-1223	258	7	100292	100292	NUM
cana-1223	258	8	.	.	PUNCT
cana-1223	259	1	[	[	X
cana-1223	259	2	7	7	NUM
cana-1223	259	3	]	]	SYM
cana-1223	259	4	yang	yang	PROPN
cana-1223	259	5	,	,	PUNCT
cana-1223	259	6	s.	s.	PROPN
cana-1223	259	7	j.	j.	PROPN
cana-1223	259	8	,	,	PUNCT
cana-1223	259	9	ogata	ogata	PROPN
cana-1223	259	10	,	,	PUNCT
cana-1223	259	11	h.	h.	PROPN
cana-1223	259	12	,	,	PUNCT
cana-1223	259	13	matsui	matsui	NOUN
cana-1223	259	14	,	,	PUNCT
cana-1223	259	15	t.	t.	PROPN
cana-1223	259	16	,	,	PUNCT
cana-1223	259	17	&	&	CCONJ
cana-1223	259	18	chen	chen	PROPN
cana-1223	259	19	,	,	PUNCT
cana-1223	259	20	n.	n.	PROPN
cana-1223	259	21	s.	s.	PROPN
cana-1223	259	22	(	(	PUNCT
cana-1223	259	23	2021	2021	NUM
cana-1223	259	24	)	)	PUNCT
cana-1223	259	25	.	.	PUNCT
cana-1223	260	1	human	human	NOUN
cana-1223	260	2	-	-	PUNCT
cana-1223	260	3	centered	center	VERB
cana-1223	260	4	artificial	artificial	ADJ
cana-1223	260	5	intelligence	intelligence	NOUN
cana-1223	260	6	in	in	ADP
cana-1223	260	7	education	education	NOUN
cana-1223	260	8	:	:	PUNCT
cana-1223	260	9	seeing	see	VERB
cana-1223	260	10	the	the	DET
cana-1223	260	11	invisible	invisible	ADJ
cana-1223	260	12	through	through	ADP
cana-1223	260	13	the	the	DET
cana-1223	260	14	visible	visible	NOUN
cana-1223	260	15	.	.	PUNCT
cana-1223	261	1	computers	computer	NOUN
cana-1223	261	2	and	and	CCONJ
cana-1223	261	3	education	education	NOUN
cana-1223	261	4	:	:	PUNCT
cana-1223	261	5	artificial	artificial	ADJ
cana-1223	261	6	intelligence	intelligence	NOUN
cana-1223	261	7	,	,	PUNCT
cana-1223	261	8	2	2	NUM
cana-1223	261	9	,	,	PUNCT
cana-1223	261	10	100008	100008	NUM
cana-1223	261	11	.	.	PUNCT
cana-1223	262	1	[	[	X
cana-1223	262	2	8	8	NUM
cana-1223	262	3	]	]	X
cana-1223	262	4	venkatachalam	venkatachalam	PROPN
cana-1223	262	5	,	,	PUNCT
cana-1223	262	6	b.	b.	PROPN
cana-1223	262	7	,	,	PUNCT
cana-1223	262	8	&	&	CCONJ
cana-1223	262	9	sivanraju	sivanraju	PROPN
cana-1223	262	10	,	,	PUNCT
cana-1223	262	11	k.	k.	PROPN
cana-1223	262	12	(	(	PUNCT
cana-1223	262	13	2023	2023	NUM
cana-1223	262	14	)	)	PUNCT
cana-1223	262	15	.	.	PUNCT
cana-1223	263	1	predicting	predict	VERB
cana-1223	263	2	student	student	NOUN
cana-1223	263	3	performance	performance	NOUN
cana-1223	263	4	using	use	VERB
cana-1223	263	5	mental	mental	ADJ
cana-1223	263	6	health	health	NOUN
cana-1223	263	7	and	and	CCONJ
cana-1223	263	8	linguistic	linguistic	ADJ
cana-1223	263	9	attributes	attribute	NOUN
cana-1223	263	10	with	with	ADP
cana-1223	263	11	deep	deep	ADJ
cana-1223	263	12	learning	learning	NOUN
cana-1223	263	13	.	.	PUNCT
cana-1223	264	1	revue	revue	PROPN
cana-1223	264	2	d'intelligence	d'intelligence	PROPN
cana-1223	264	3	artificielle	artificielle	PROPN
cana-1223	264	4	,	,	PUNCT
cana-1223	264	5	37(4	37(4	PROPN
cana-1223	264	6	)	)	PUNCT
cana-1223	264	7	,	,	PUNCT
cana-1223	264	8	889	889	NUM
cana-1223	264	9	-	-	SYM
cana-1223	264	10	899	899	NUM
cana-1223	264	11	.	.	PUNCT
cana-1223	265	1	[	[	X
cana-1223	265	2	9	9	NUM
cana-1223	265	3	]	]	SYM
cana-1223	265	4	baghyalakshmi	baghyalakshmi	NOUN
cana-1223	265	5	,	,	PUNCT
cana-1223	265	6	v.	v.	ADV
cana-1223	265	7	,	,	PUNCT
cana-1223	265	8	&	&	CCONJ
cana-1223	265	9	sivanraju	sivanraju	PROPN
cana-1223	265	10	,	,	PUNCT
cana-1223	265	11	k.	k.	PROPN
cana-1223	265	12	(	(	PUNCT
cana-1223	265	13	)	)	PUNCT
cana-1223	265	14	.	.	PUNCT
cana-1223	266	1	data	datum	NOUN
cana-1223	266	2	augmentation	augmentation	NOUN
cana-1223	266	3	for	for	ADP
cana-1223	266	4	enlarging	enlarge	VERB
cana-1223	266	5	student	student	NOUN
cana-1223	266	6	feature	feature	NOUN
cana-1223	266	7	space	space	NOUN
cana-1223	266	8	for	for	ADP
cana-1223	266	9	deep	deep	ADJ
cana-1223	266	10	learningbased	learningbase	VERB
cana-1223	266	11	student	student	NOUN
cana-1223	266	12	accomplishment	accomplishment	NOUN
cana-1223	266	13	prediction	prediction	NOUN
cana-1223	266	14	.	.	PUNCT
cana-1223	267	1	[	[	X
cana-1223	267	2	10	10	NUM
cana-1223	267	3	]	]	X
cana-1223	267	4	arashpour	arashpour	ADJ
cana-1223	267	5	,	,	PUNCT
cana-1223	267	6	m.	m.	NOUN
cana-1223	267	7	,	,	PUNCT
cana-1223	267	8	golafshani	golafshani	PROPN
cana-1223	267	9	,	,	PUNCT
cana-1223	267	10	e.	e.	PROPN
cana-1223	267	11	m.	m.	PROPN
cana-1223	267	12	,	,	PUNCT
cana-1223	267	13	parthiban	parthiban	PROPN
cana-1223	267	14	,	,	PUNCT
cana-1223	267	15	r.	r.	PROPN
cana-1223	267	16	,	,	PUNCT
cana-1223	267	17	lamborn	lamborn	ADJ
cana-1223	267	18	,	,	PUNCT
cana-1223	267	19	j.	j.	PROPN
cana-1223	267	20	,	,	PUNCT
cana-1223	267	21	kashani	kashani	PROPN
cana-1223	267	22	,	,	PUNCT
cana-1223	267	23	a.	a.	PROPN
cana-1223	267	24	,	,	PUNCT
cana-1223	267	25	li	li	PROPN
cana-1223	267	26	,	,	PUNCT
cana-1223	267	27	h.	h.	PROPN
cana-1223	267	28	,	,	PUNCT
cana-1223	267	29	&	&	CCONJ
cana-1223	267	30	farzanehfar	farzanehfar	PROPN
cana-1223	267	31	,	,	PUNCT
cana-1223	267	32	p.	p.	NOUN
cana-1223	267	33	(	(	PUNCT
cana-1223	267	34	2023	2023	NUM
cana-1223	267	35	)	)	PUNCT
cana-1223	267	36	.	.	PUNCT
cana-1223	268	1	predicting	predict	VERB
cana-1223	268	2	individual	individual	ADJ
cana-1223	268	3	learning	learning	NOUN
cana-1223	268	4	performance	performance	NOUN
cana-1223	268	5	using	use	VERB
cana-1223	268	6	machine‐learning	machine‐learning	NOUN
cana-1223	268	7	hybridized	hybridize	VERB
cana-1223	268	8	with	with	ADP
cana-1223	268	9	the	the	DET
cana-1223	268	10	teaching‐learning‐based	teaching‐learning‐base	VERB
cana-1223	268	11	optimization	optimization	NOUN
cana-1223	268	12	.	.	PUNCT
cana-1223	269	1	computer	computer	NOUN
cana-1223	269	2	applications	application	NOUN
cana-1223	269	3	in	in	ADP
cana-1223	269	4	engineering	engineering	NOUN
cana-1223	269	5	education	education	NOUN
cana-1223	269	6	,	,	PUNCT
cana-1223	269	7	31(1	31(1	NUM
cana-1223	269	8	)	)	PUNCT
cana-1223	269	9	,	,	PUNCT
cana-1223	269	10	83	83	NUM
cana-1223	269	11	-	-	SYM
cana-1223	269	12	99	99	NUM
cana-1223	269	13	.	.	PUNCT
cana-1223	270	1	[	[	X
cana-1223	270	2	11	11	NUM
cana-1223	270	3	]	]	X
cana-1223	270	4	al	al	PROPN
cana-1223	270	5	-	-	PUNCT
cana-1223	270	6	azazi	azazi	PROPN
cana-1223	270	7	,	,	PUNCT
cana-1223	270	8	f.	f.	PROPN
cana-1223	270	9	a.	a.	PROPN
cana-1223	270	10	,	,	PUNCT
cana-1223	270	11	&	&	CCONJ
cana-1223	270	12	ghurab	ghurab	NOUN
cana-1223	270	13	,	,	PUNCT
cana-1223	270	14	m.	m.	NOUN
cana-1223	270	15	(	(	PUNCT
cana-1223	270	16	2023	2023	NUM
cana-1223	270	17	)	)	PUNCT
cana-1223	270	18	.	.	PUNCT
cana-1223	271	1	ann	ann	PROPN
cana-1223	271	2	-	-	PUNCT
cana-1223	271	3	lstm	lstm	PROPN
cana-1223	271	4	:	:	PUNCT
cana-1223	271	5	a	a	DET
cana-1223	271	6	deep	deep	ADJ
cana-1223	271	7	learning	learning	NOUN
cana-1223	271	8	model	model	NOUN
cana-1223	271	9	for	for	ADP
cana-1223	271	10	early	early	ADJ
cana-1223	271	11	student	student	NOUN
cana-1223	271	12	performance	performance	NOUN
cana-1223	271	13	prediction	prediction	NOUN
cana-1223	271	14	in	in	ADP
cana-1223	271	15	mooc	mooc	PROPN
cana-1223	271	16	.	.	PUNCT
cana-1223	272	1	heliyon	heliyon	PROPN
cana-1223	272	2	,	,	PUNCT
cana-1223	272	3	9(4	9(4	NUM
cana-1223	272	4	)	)	PUNCT
cana-1223	272	5	,	,	PUNCT
cana-1223	272	6	e15382	e15382	PROPN
cana-1223	272	7	.	.	PUNCT
cana-1223	273	1	[	[	X
cana-1223	273	2	12	12	NUM
cana-1223	273	3	]	]	X
cana-1223	273	4	albreiki	albreiki	PROPN
cana-1223	273	5	,	,	PUNCT
cana-1223	273	6	b.	b.	PROPN
cana-1223	273	7	,	,	PUNCT
cana-1223	273	8	habuza	habuza	PROPN
cana-1223	273	9	,	,	PUNCT
cana-1223	273	10	t.	t.	PROPN
cana-1223	273	11	,	,	PUNCT
cana-1223	273	12	&	&	CCONJ
cana-1223	273	13	zaki	zaki	PROPN
cana-1223	273	14	,	,	PUNCT
cana-1223	273	15	n.	n.	NOUN
cana-1223	273	16	(	(	PUNCT
cana-1223	273	17	2023	2023	NUM
cana-1223	273	18	)	)	PUNCT
cana-1223	273	19	.	.	PUNCT
cana-1223	274	1	extracting	extract	VERB
cana-1223	274	2	topological	topological	ADJ
cana-1223	274	3	features	feature	NOUN
cana-1223	274	4	to	to	PART
cana-1223	274	5	identify	identify	VERB
cana-1223	274	6	at	at	ADP
cana-1223	274	7	-	-	PUNCT
cana-1223	274	8	risk	risk	NOUN
cana-1223	274	9	students	student	NOUN
cana-1223	274	10	using	use	VERB
cana-1223	274	11	machine	machine	NOUN
cana-1223	274	12	learning	learning	NOUN
cana-1223	274	13	and	and	CCONJ
cana-1223	274	14	graph	graph	VERB
cana-1223	274	15	convolutional	convolutional	ADJ
cana-1223	274	16	network	network	NOUN
cana-1223	274	17	models	model	NOUN
cana-1223	274	18	.	.	PUNCT
cana-1223	275	1	international	international	ADJ
cana-1223	275	2	journal	journal	NOUN
cana-1223	275	3	of	of	ADP
cana-1223	275	4	educational	educational	ADJ
cana-1223	275	5	technology	technology	NOUN
cana-1223	275	6	in	in	ADP
cana-1223	275	7	higher	high	ADJ
cana-1223	275	8	education	education	NOUN
cana-1223	275	9	,	,	PUNCT
cana-1223	275	10	20(1	20(1	NUM
cana-1223	275	11	)	)	PUNCT
cana-1223	275	12	,	,	PUNCT
cana-1223	275	13	23	23	NUM
cana-1223	275	14	.	.	PUNCT
cana-1223	276	1	[	[	X
cana-1223	276	2	13	13	NUM
cana-1223	276	3	]	]	X
cana-1223	276	4	liu	liu	PROPN
cana-1223	276	5	,	,	PUNCT
cana-1223	276	6	y.	y.	PROPN
cana-1223	276	7	,	,	PUNCT
cana-1223	276	8	hui	hui	PROPN
cana-1223	276	9	,	,	PUNCT
cana-1223	276	10	y.	y.	PROPN
cana-1223	276	11	,	,	PUNCT
cana-1223	276	12	hou	hou	PROPN
cana-1223	276	13	,	,	PUNCT
cana-1223	276	14	d.	d.	PROPN
cana-1223	276	15	,	,	PUNCT
cana-1223	276	16	&	&	CCONJ
cana-1223	276	17	liu	liu	PROPN
cana-1223	276	18	,	,	PUNCT
cana-1223	276	19	x.	x.	NOUN
cana-1223	276	20	(	(	PUNCT
cana-1223	276	21	2023	2023	NUM
cana-1223	276	22	)	)	PUNCT
cana-1223	276	23	.	.	PUNCT
cana-1223	277	1	a	a	DET
cana-1223	277	2	novel	novel	ADJ
cana-1223	277	3	student	student	NOUN
cana-1223	277	4	achievement	achievement	NOUN
cana-1223	277	5	prediction	prediction	NOUN
cana-1223	277	6	method	method	NOUN
cana-1223	277	7	based	base	VERB
cana-1223	277	8	on	on	ADP
cana-1223	277	9	deep	deep	ADJ
cana-1223	277	10	learning	learning	NOUN
cana-1223	277	11	and	and	CCONJ
cana-1223	277	12	attention	attention	NOUN
cana-1223	277	13	mechanism	mechanism	NOUN
cana-1223	277	14	.	.	PUNCT
cana-1223	278	1	ieee	ieee	NOUN
cana-1223	278	2	access	access	NOUN
cana-1223	278	3	,	,	PUNCT
cana-1223	278	4	11	11	NUM
cana-1223	278	5	,	,	PUNCT
cana-1223	278	6	87245	87245	NUM
cana-1223	278	7	-	-	SYM
cana-1223	278	8	87255	87255	NUM
cana-1223	278	9	.	.	PUNCT
cana-1223	279	1	[	[	X
cana-1223	279	2	14	14	NUM
cana-1223	279	3	]	]	X
cana-1223	279	4	sun	sun	NOUN
cana-1223	279	5	,	,	PUNCT
cana-1223	279	6	d.	d.	PROPN
cana-1223	279	7	,	,	PUNCT
cana-1223	279	8	luo	luo	PROPN
cana-1223	279	9	,	,	PUNCT
cana-1223	279	10	r.	r.	PROPN
cana-1223	279	11	,	,	PUNCT
cana-1223	279	12	guo	guo	PROPN
cana-1223	279	13	,	,	PUNCT
cana-1223	279	14	q.	q.	PROPN
cana-1223	279	15	,	,	PUNCT
cana-1223	279	16	xie	xie	PROPN
cana-1223	279	17	,	,	PUNCT
cana-1223	279	18	j.	j.	PROPN
cana-1223	279	19	,	,	PUNCT
cana-1223	279	20	liu	liu	PROPN
cana-1223	279	21	,	,	PUNCT
cana-1223	279	22	h.	h.	PROPN
cana-1223	279	23	,	,	PUNCT
cana-1223	279	24	lyu	lyu	PROPN
cana-1223	279	25	,	,	PUNCT
cana-1223	279	26	s.	s.	PROPN
cana-1223	279	27	,	,	PUNCT
cana-1223	279	28	...	...	PUNCT
cana-1223	279	29	&	&	CCONJ
cana-1223	279	30	song	song	PROPN
cana-1223	279	31	,	,	PUNCT
cana-1223	279	32	s.	s.	PROPN
cana-1223	279	33	(	(	PUNCT
cana-1223	279	34	2023	2023	NUM
cana-1223	279	35	)	)	PUNCT
cana-1223	279	36	.	.	PUNCT
cana-1223	280	1	a	a	DET
cana-1223	280	2	university	university	NOUN
cana-1223	280	3	student	student	NOUN
cana-1223	280	4	performance	performance	NOUN
cana-1223	280	5	prediction	prediction	NOUN
cana-1223	280	6	model	model	NOUN
cana-1223	280	7	and	and	CCONJ
cana-1223	280	8	experiment	experiment	NOUN
cana-1223	280	9	based	base	VERB
cana-1223	280	10	on	on	ADP
cana-1223	280	11	multi	multi	ADJ
cana-1223	280	12	-	-	ADJ
cana-1223	280	13	feature	feature	ADJ
cana-1223	280	14	fusion	fusion	NOUN
cana-1223	280	15	and	and	CCONJ
cana-1223	280	16	attention	attention	NOUN
cana-1223	280	17	mechanism	mechanism	NOUN
cana-1223	280	18	.	.	PUNCT
cana-1223	281	1	ieee	ieee	NOUN
cana-1223	281	2	access	access	NOUN
cana-1223	281	3	,	,	PUNCT
cana-1223	281	4	11	11	NUM
cana-1223	281	5	,	,	PUNCT
cana-1223	281	6	112307	112307	NUM
cana-1223	281	7	-	-	SYM
cana-1223	281	8	112319	112319	NUM
cana-1223	281	9	.	.	PUNCT
cana-1223	282	1	communications	communication	NOUN
cana-1223	282	2	on	on	ADP
cana-1223	282	3	applied	apply	VERB
cana-1223	282	4	nonlinear	nonlinear	ADJ
cana-1223	282	5	analysis	analysis	NOUN
cana-1223	282	6	issn	issn	NOUN
cana-1223	282	7	:	:	PUNCT
cana-1223	282	8	1074	1074	NUM
cana-1223	282	9	-	-	PUNCT
cana-1223	282	10	133x	133x	NUM
cana-1223	282	11	vol	vol	NOUN
cana-1223	282	12	31	31	NUM
cana-1223	282	13	no	no	NOUN
cana-1223	282	14	.	.	PUNCT
cana-1223	283	1	6s	6s	NUM
cana-1223	283	2	(	(	PUNCT
cana-1223	283	3	2024	2024	NUM
cana-1223	283	4	)	)	PUNCT
cana-1223	283	5	304	304	NUM
cana-1223	283	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1223	284	1	[	[	X
cana-1223	284	2	15	15	NUM
cana-1223	284	3	]	]	SYM
cana-1223	284	4	albahli	albahli	ADJ
cana-1223	284	5	,	,	PUNCT
cana-1223	284	6	s.	s.	PROPN
cana-1223	284	7	(	(	PUNCT
cana-1223	284	8	2024	2024	NUM
cana-1223	284	9	)	)	PUNCT
cana-1223	284	10	.	.	PUNCT
cana-1223	285	1	efficient	efficient	ADJ
cana-1223	285	2	hyperparameter	hyperparameter	NOUN
cana-1223	285	3	tuning	tune	VERB
cana-1223	285	4	for	for	ADP
cana-1223	285	5	predicting	predict	VERB
cana-1223	285	6	student	student	NOUN
cana-1223	285	7	performance	performance	NOUN
cana-1223	285	8	with	with	ADP
cana-1223	285	9	bayesian	bayesian	NOUN
cana-1223	285	10	optimization	optimization	NOUN
cana-1223	285	11	.	.	PUNCT
cana-1223	286	1	multimedia	multimedia	NOUN
cana-1223	286	2	tools	tool	NOUN
cana-1223	286	3	and	and	CCONJ
cana-1223	286	4	applications	application	NOUN
cana-1223	286	5	,	,	PUNCT
cana-1223	286	6	83(17	83(17	NUM
cana-1223	286	7	)	)	PUNCT
cana-1223	286	8	,	,	PUNCT
cana-1223	286	9	52711	52711	NUM
cana-1223	286	10	-	-	SYM
cana-1223	286	11	52735	52735	NUM
cana-1223	286	12	.	.	PUNCT
cana-1223	287	1	[	[	X
cana-1223	287	2	16	16	NUM
cana-1223	287	3	]	]	X
cana-1223	287	4	vives	vive	NOUN
cana-1223	287	5	,	,	PUNCT
cana-1223	287	6	l.	l.	PROPN
cana-1223	287	7	,	,	PUNCT
cana-1223	287	8	cabezas	cabezas	PROPN
cana-1223	287	9	,	,	PUNCT
cana-1223	287	10	i.	i.	PROPN
cana-1223	287	11	,	,	PUNCT
cana-1223	287	12	vives	vive	NOUN
cana-1223	287	13	,	,	PUNCT
cana-1223	287	14	j.	j.	PROPN
cana-1223	287	15	c.	c.	PROPN
cana-1223	287	16	,	,	PUNCT
cana-1223	287	17	reyes	reyes	PROPN
cana-1223	287	18	,	,	PUNCT
cana-1223	287	19	n.	n.	PROPN
cana-1223	287	20	g.	g.	PROPN
cana-1223	287	21	,	,	PUNCT
cana-1223	287	22	aquino	aquino	PROPN
cana-1223	287	23	,	,	PUNCT
cana-1223	287	24	j.	j.	PROPN
cana-1223	287	25	,	,	PUNCT
cana-1223	287	26	cóndor	cóndor	PROPN
cana-1223	287	27	,	,	PUNCT
cana-1223	287	28	j.	j.	PROPN
cana-1223	287	29	b.	b.	PROPN
cana-1223	287	30	,	,	PUNCT
cana-1223	287	31	&	&	CCONJ
cana-1223	287	32	altamirano	altamirano	PROPN
cana-1223	287	33	,	,	PUNCT
cana-1223	287	34	s.	s.	PROPN
cana-1223	287	35	f.	f.	PROPN
cana-1223	287	36	s.	s.	PROPN
cana-1223	287	37	(	(	PUNCT
cana-1223	287	38	2024	2024	NUM
cana-1223	287	39	)	)	PUNCT
cana-1223	287	40	.	.	PUNCT
cana-1223	288	1	prediction	prediction	NOUN
cana-1223	288	2	of	of	ADP
cana-1223	288	3	students	student	NOUN
cana-1223	288	4	’	'	PUNCT
cana-1223	288	5	academic	academic	ADJ
cana-1223	288	6	performance	performance	NOUN
cana-1223	288	7	in	in	ADP
cana-1223	288	8	the	the	DET
cana-1223	288	9	programming	programming	NOUN
cana-1223	288	10	fundamentals	fundamental	NOUN
cana-1223	288	11	course	course	NOUN
cana-1223	288	12	using	use	VERB
cana-1223	288	13	long	long	ADJ
cana-1223	288	14	short	short	ADJ
cana-1223	288	15	-	-	PUNCT
cana-1223	288	16	term	term	NOUN
cana-1223	288	17	memory	memory	NOUN
cana-1223	288	18	neural	neural	ADJ
cana-1223	288	19	networks	network	NOUN
cana-1223	288	20	.	.	PUNCT
cana-1223	289	1	ieee	ieee	NOUN
cana-1223	289	2	access	access	NOUN
cana-1223	289	3	,	,	PUNCT
cana-1223	289	4	12	12	NUM
cana-1223	289	5	,	,	PUNCT
cana-1223	289	6	5882	5882	NUM
cana-1223	289	7	-	-	SYM
cana-1223	289	8	5898	5898	NUM
cana-1223	289	9	.	.	PUNCT
cana-1223	290	1	[	[	X
cana-1223	290	2	17	17	NUM
cana-1223	290	3	]	]	PUNCT
cana-1223	290	4	noviandy	noviandy	NOUN
cana-1223	290	5	,	,	PUNCT
cana-1223	290	6	t.	t.	PROPN
cana-1223	290	7	r.	r.	PROPN
cana-1223	290	8	,	,	PUNCT
cana-1223	290	9	zahriah	zahriah	PROPN
cana-1223	290	10	,	,	PUNCT
cana-1223	290	11	z.	z.	PROPN
cana-1223	290	12	,	,	PUNCT
cana-1223	290	13	yandri	yandri	PROPN
cana-1223	290	14	,	,	PUNCT
cana-1223	290	15	e.	e.	PROPN
cana-1223	290	16	,	,	PUNCT
cana-1223	290	17	jalil	jalil	PROPN
cana-1223	290	18	,	,	PUNCT
cana-1223	290	19	z.	z.	PROPN
cana-1223	290	20	,	,	PUNCT
cana-1223	290	21	yusuf	yusuf	PROPN
cana-1223	290	22	,	,	PUNCT
cana-1223	290	23	m.	m.	NOUN
cana-1223	290	24	,	,	PUNCT
cana-1223	290	25	yusof	yusof	NOUN
cana-1223	290	26	,	,	PUNCT
cana-1223	290	27	n.	n.	PROPN
cana-1223	290	28	i.	i.	PROPN
cana-1223	290	29	s.	s.	PROPN
cana-1223	290	30	m.	m.	PROPN
cana-1223	290	31	,	,	PUNCT
cana-1223	290	32	...	...	PUNCT
cana-1223	290	33	&	&	CCONJ
cana-1223	290	34	idroes	idroes	PROPN
cana-1223	290	35	,	,	PUNCT
cana-1223	290	36	r.	r.	PROPN
cana-1223	290	37	(	(	PUNCT
cana-1223	290	38	2024	2024	NUM
cana-1223	290	39	)	)	PUNCT
cana-1223	290	40	.	.	PUNCT
cana-1223	291	1	machine	machine	NOUN
cana-1223	291	2	learning	learn	VERB
cana-1223	291	3	for	for	ADP
cana-1223	291	4	early	early	ADJ
cana-1223	291	5	detection	detection	NOUN
cana-1223	291	6	of	of	ADP
cana-1223	291	7	dropout	dropout	NOUN
cana-1223	291	8	risks	risk	NOUN
cana-1223	291	9	and	and	CCONJ
cana-1223	291	10	academic	academic	ADJ
cana-1223	291	11	excellence	excellence	NOUN
cana-1223	291	12	:	:	PUNCT
cana-1223	291	13	a	a	DET
cana-1223	291	14	stacked	stack	VERB
cana-1223	291	15	classifier	classifier	NOUN
cana-1223	291	16	approach	approach	NOUN
cana-1223	291	17	.	.	PUNCT
cana-1223	292	1	journal	journal	NOUN
cana-1223	292	2	of	of	ADP
cana-1223	292	3	educational	educational	ADJ
cana-1223	292	4	management	management	NOUN
cana-1223	292	5	and	and	CCONJ
cana-1223	292	6	learning	learning	NOUN
cana-1223	292	7	,	,	PUNCT
cana-1223	292	8	2(1	2(1	NUM
cana-1223	292	9	)	)	PUNCT
cana-1223	292	10	,	,	PUNCT
cana-1223	292	11	28	28	NUM
cana-1223	292	12	-	-	SYM
cana-1223	292	13	34	34	NUM
cana-1223	292	14	.	.	PUNCT
cana-1223	293	1	[	[	X
cana-1223	293	2	18	18	NUM
cana-1223	293	3	]	]	PUNCT
cana-1223	293	4	baniata	baniata	PROPN
cana-1223	293	5	,	,	PUNCT
cana-1223	293	6	l.	l.	PROPN
cana-1223	293	7	h.	h.	PROPN
cana-1223	293	8	,	,	PUNCT
cana-1223	293	9	kang	kang	PROPN
cana-1223	293	10	,	,	PUNCT
cana-1223	293	11	s.	s.	PROPN
cana-1223	293	12	,	,	PUNCT
cana-1223	293	13	alsharaiah	alsharaiah	PROPN
cana-1223	293	14	,	,	PUNCT
cana-1223	293	15	m.	m.	NOUN
cana-1223	293	16	a.	a.	PROPN
cana-1223	293	17	,	,	PUNCT
cana-1223	293	18	&	&	CCONJ
cana-1223	293	19	baniata	baniata	PROPN
cana-1223	293	20	,	,	PUNCT
cana-1223	293	21	m.	m.	NOUN
cana-1223	293	22	h.	h.	PROPN
cana-1223	293	23	(	(	PUNCT
cana-1223	293	24	2024	2024	NUM
cana-1223	293	25	)	)	PUNCT
cana-1223	293	26	.	.	PUNCT
cana-1223	294	1	advanced	advanced	ADJ
cana-1223	294	2	deep	deep	ADJ
cana-1223	294	3	learning	learning	NOUN
cana-1223	294	4	model	model	NOUN
cana-1223	294	5	for	for	ADP
cana-1223	294	6	predicting	predict	VERB
cana-1223	294	7	the	the	DET
cana-1223	294	8	academic	academic	ADJ
cana-1223	294	9	performances	performance	NOUN
cana-1223	294	10	of	of	ADP
cana-1223	294	11	students	student	NOUN
cana-1223	294	12	in	in	ADP
cana-1223	294	13	educational	educational	ADJ
cana-1223	294	14	institutions	institution	NOUN
cana-1223	294	15	.	.	PUNCT
cana-1223	295	1	applied	apply	VERB
cana-1223	295	2	sciences	sciences	PROPN
cana-1223	295	3	,	,	PUNCT
cana-1223	295	4	14(5	14(5	NUM
cana-1223	295	5	)	)	PUNCT
cana-1223	295	6	,	,	PUNCT
cana-1223	295	7	1963	1963	NUM
cana-1223	295	8	.	.	PUNCT
cana-1223	296	1	[	[	X
cana-1223	296	2	19	19	NUM
cana-1223	296	3	]	]	X
cana-1223	296	4	fazil	fazil	PROPN
cana-1223	296	5	,	,	PUNCT
cana-1223	296	6	m.	m.	NOUN
cana-1223	296	7	,	,	PUNCT
cana-1223	296	8	rísquez	rísquez	ADJ
cana-1223	296	9	,	,	PUNCT
cana-1223	296	10	a.	a.	NOUN
cana-1223	296	11	,	,	PUNCT
cana-1223	296	12	&	&	CCONJ
cana-1223	296	13	halpin	halpin	PROPN
cana-1223	296	14	,	,	PUNCT
cana-1223	296	15	c.	c.	PROPN
cana-1223	296	16	(	(	PUNCT
cana-1223	296	17	2024	2024	NUM
cana-1223	296	18	)	)	PUNCT
cana-1223	296	19	.	.	PUNCT
cana-1223	297	1	a	a	DET
cana-1223	297	2	novel	novel	ADJ
cana-1223	297	3	deep	deep	ADJ
cana-1223	297	4	learning	learning	NOUN
cana-1223	297	5	model	model	NOUN
cana-1223	297	6	for	for	ADP
cana-1223	297	7	student	student	NOUN
cana-1223	297	8	performance	performance	NOUN
cana-1223	297	9	prediction	prediction	NOUN
cana-1223	297	10	using	use	VERB
cana-1223	297	11	engagement	engagement	NOUN
cana-1223	297	12	data	datum	NOUN
cana-1223	297	13	.	.	PUNCT
cana-1223	298	1	journal	journal	NOUN
cana-1223	298	2	of	of	ADP
cana-1223	298	3	learning	learn	VERB
cana-1223	298	4	analytics	analytic	NOUN
cana-1223	298	5	,	,	PUNCT
cana-1223	298	6	1	1	NUM
cana-1223	298	7	-	-	SYM
cana-1223	298	8	19	19	NUM
cana-1223	298	9	.	.	PUNCT
cana-1223	299	1	[	[	X
cana-1223	299	2	20	20	NUM
cana-1223	299	3	]	]	X
cana-1223	299	4	huang	huang	PROPN
cana-1223	299	5	,	,	PUNCT
cana-1223	299	6	q.	q.	PROPN
cana-1223	299	7	,	,	PUNCT
cana-1223	299	8	&	&	CCONJ
cana-1223	299	9	zeng	zeng	PROPN
cana-1223	299	10	,	,	PUNCT
cana-1223	299	11	y.	y.	PROPN
cana-1223	299	12	(	(	PUNCT
cana-1223	299	13	2024	2024	NUM
cana-1223	299	14	)	)	PUNCT
cana-1223	299	15	.	.	PUNCT
cana-1223	300	1	improving	improve	VERB
cana-1223	300	2	academic	academic	ADJ
cana-1223	300	3	performance	performance	NOUN
cana-1223	300	4	predictions	prediction	NOUN
cana-1223	300	5	with	with	ADP
cana-1223	300	6	dual	dual	ADJ
cana-1223	300	7	graph	graph	NOUN
cana-1223	300	8	neural	neural	ADJ
cana-1223	300	9	networks	network	NOUN
cana-1223	300	10	.	.	PUNCT
cana-1223	301	1	complex	complex	ADJ
cana-1223	301	2	&	&	CCONJ
cana-1223	301	3	intelligent	intelligent	ADJ
cana-1223	301	4	systems	system	NOUN
cana-1223	301	5	,	,	PUNCT
cana-1223	301	6	1	1	NUM
cana-1223	301	7	-	-	SYM
cana-1223	301	8	19	19	NUM
cana-1223	301	9	.	.	PUNCT