id	sid	tid	token	lemma	pos
bracis-28381	1	1	enhancing	enhance	VERB
bracis-28381	1	2	stock	stock	NOUN
bracis-28381	1	3	market	market	NOUN
bracis-28381	1	4	predictions	prediction	NOUN
bracis-28381	1	5	through	through	ADP
bracis-28381	1	6	the	the	DET
bracis-28381	1	7	 	 	SPACE
bracis-28381	1	8	integration	integration	NOUN
bracis-28381	1	9	of	of	ADP
bracis-28381	1	10	 	 	SPACE
bracis-28381	1	11	convolutional	convolutional	ADJ
bracis-28381	1	12	and	and	CCONJ
bracis-28381	1	13	 	 	SPACE
bracis-28381	1	14	recursive	recursive	ADJ
bracis-28381	1	15	lstm	lstm	NOUN
bracis-28381	1	16	blocks	block	NOUN
bracis-28381	1	17	:	:	PUNCT
bracis-28381	1	18	a	a	DET
bracis-28381	1	19	cross	cross	ADJ
bracis-28381	1	20	-	-	ADJ
bracis-28381	1	21	market	market	ADJ
bracis-28381	1	22	analysis	analysis	NOUN
bracis-28381	1	23	|	|	NOUN
bracis-28381	1	24	springer	springer	NOUN
bracis-28381	1	25	nature	nature	NOUN
bracis-28381	1	26	link	link	PROPN
bracis-28381	1	27	(	(	PUNCT
bracis-28381	1	28	formerly	formerly	ADV
bracis-28381	1	29	springerlink	springerlink	NOUN
bracis-28381	1	30	)	)	PUNCT
bracis-28381	1	31	skip	skip	VERB
bracis-28381	1	32	to	to	ADP
bracis-28381	1	33	main	main	ADJ
bracis-28381	1	34	content	content	NOUN
bracis-28381	1	35	advertisement	advertisement	NOUN
bracis-28381	1	36	log	log	NOUN
bracis-28381	1	37	in	in	ADP
bracis-28381	1	38	menu	menu	NOUN
bracis-28381	1	39	find	find	VERB
bracis-28381	1	40	a	a	DET
bracis-28381	1	41	journal	journal	NOUN
bracis-28381	1	42	publish	publish	VERB
bracis-28381	1	43	with	with	ADP
bracis-28381	1	44	us	we	PRON
bracis-28381	1	45	track	track	VERB
bracis-28381	1	46	your	your	PRON
bracis-28381	1	47	research	research	NOUN
bracis-28381	1	48	search	search	NOUN
bracis-28381	1	49	cart	cart	NOUN
bracis-28381	1	50	home	home	NOUN
bracis-28381	1	51	intelligent	intelligent	ADJ
bracis-28381	1	52	systems	system	NOUN
bracis-28381	1	53	conference	conference	NOUN
bracis-28381	1	54	paper	paper	NOUN
bracis-28381	1	55	enhancing	enhance	VERB
bracis-28381	1	56	stock	stock	NOUN
bracis-28381	1	57	market	market	NOUN
bracis-28381	1	58	predictions	prediction	NOUN
bracis-28381	1	59	through	through	ADP
bracis-28381	1	60	the	the	DET
bracis-28381	1	61	 	 	SPACE
bracis-28381	1	62	integration	integration	NOUN
bracis-28381	1	63	of	of	ADP
bracis-28381	1	64	 	 	SPACE
bracis-28381	1	65	convolutional	convolutional	ADJ
bracis-28381	1	66	and	and	CCONJ
bracis-28381	1	67	 	 	SPACE
bracis-28381	1	68	recursive	recursive	ADJ
bracis-28381	1	69	lstm	lstm	NOUN
bracis-28381	1	70	blocks	block	NOUN
bracis-28381	1	71	:	:	PUNCT
bracis-28381	1	72	a	a	DET
bracis-28381	1	73	cross	cross	ADJ
bracis-28381	1	74	-	-	ADJ
bracis-28381	1	75	market	market	ADJ
bracis-28381	1	76	analysis	analysis	NOUN
bracis-28381	1	77	conference	conference	NOUN
bracis-28381	1	78	paper	paper	NOUN
bracis-28381	1	79	first	first	ADV
bracis-28381	1	80	online	online	ADV
bracis-28381	1	81	:	:	PUNCT
bracis-28381	1	82	12	12	NUM
bracis-28381	1	83	october	october	NOUN
bracis-28381	1	84	2023	2023	NUM
bracis-28381	1	85	pp	pp	NOUN
bracis-28381	2	1	92–106	92–106	PRON
bracis-28381	2	2	cite	cite	VERB
bracis-28381	2	3	this	this	DET
bracis-28381	2	4	conference	conference	NOUN
bracis-28381	2	5	paper	paper	NOUN
bracis-28381	2	6	access	access	NOUN
bracis-28381	2	7	provided	provide	VERB
bracis-28381	2	8	by	by	ADP
bracis-28381	2	9	university	university	PROPN
bracis-28381	2	10	of	of	ADP
bracis-28381	2	11	notre	notre	PROPN
bracis-28381	2	12	dame	dame	PROPN
bracis-28381	2	13	hesburgh	hesburgh	PROPN
bracis-28381	2	14	library	library	PROPN
bracis-28381	2	15	download	download	PROPN
bracis-28381	2	16	book	book	NOUN
bracis-28381	2	17	pdf	pdf	PROPN
bracis-28381	2	18	download	download	NOUN
bracis-28381	2	19	book	book	NOUN
bracis-28381	2	20	epub	epub	PROPN
bracis-28381	2	21	intelligent	intelligent	ADJ
bracis-28381	2	22	systems	system	NOUN
bracis-28381	2	23	(	(	PUNCT
bracis-28381	2	24	bracis	bracis	NOUN
bracis-28381	2	25	2023	2023	NUM
bracis-28381	2	26	)	)	PUNCT
bracis-28381	2	27	enhancing	enhance	VERB
bracis-28381	2	28	stock	stock	NOUN
bracis-28381	2	29	market	market	NOUN
bracis-28381	2	30	predictions	prediction	NOUN
bracis-28381	2	31	through	through	ADP
bracis-28381	2	32	the	the	DET
bracis-28381	2	33	 	 	SPACE
bracis-28381	2	34	integration	integration	NOUN
bracis-28381	2	35	of	of	ADP
bracis-28381	2	36	 	 	SPACE
bracis-28381	2	37	convolutional	convolutional	ADJ
bracis-28381	2	38	and	and	CCONJ
bracis-28381	2	39	 	 	SPACE
bracis-28381	2	40	recursive	recursive	ADJ
bracis-28381	2	41	lstm	lstm	NOUN
bracis-28381	2	42	blocks	block	NOUN
bracis-28381	2	43	:	:	PUNCT
bracis-28381	2	44	a	a	DET
bracis-28381	2	45	cross	cross	ADJ
bracis-28381	2	46	-	-	ADJ
bracis-28381	2	47	market	market	ADJ
bracis-28381	2	48	analysis	analysis	NOUN
bracis-28381	2	49	download	download	NOUN
bracis-28381	2	50	book	book	NOUN
bracis-28381	2	51	pdf	pdf	PROPN
bracis-28381	2	52	download	download	NOUN
bracis-28381	2	53	book	book	PROPN
bracis-28381	2	54	epub	epub	PROPN
bracis-28381	2	55	filipe	filipe	PROPN
bracis-28381	2	56	ramos	ramos	PROPN
bracis-28381	2	57	  	  	SPACE
bracis-28381	2	58	orcid	orcid	PROPN
bracis-28381	2	59	:	:	PUNCT
bracis-28381	2	60	orcid.org/0000-0002-1013-62659	orcid.org/0000-0002-1013-62659	NOUN
bracis-28381	2	61	,	,	PUNCT
bracis-28381	2	62	guilherme	guilherme	PROPN
bracis-28381	2	63	silva	silva	PROPN
bracis-28381	2	64	  	  	SPACE
bracis-28381	2	65	orcid	orcid	NOUN
bracis-28381	2	66	:	:	PUNCT
bracis-28381	2	67	orcid.org/0000-0002-4964-57109	orcid.org/0000-0002-4964-57109	PROPN
bracis-28381	2	68	,	,	PUNCT
bracis-28381	2	69	eduardo	eduardo	PROPN
bracis-28381	2	70	luz	luz	PROPN
bracis-28381	2	71	  	  	SPACE
bracis-28381	2	72	orcid	orcid	NOUN
bracis-28381	2	73	:	:	PUNCT
bracis-28381	2	74	orcid.org/0000-0001-5249-15599	orcid.org/0000-0001-5249-15599	PROPN
bracis-28381	2	75	&	&	CCONJ
bracis-28381	2	76	…	…	PUNCT
bracis-28381	2	77	pedro	pedro	PROPN
bracis-28381	2	78	silva	silva	PROPN
bracis-28381	2	79	  	  	SPACE
bracis-28381	2	80	orcid	orcid	NOUN
bracis-28381	2	81	:	:	PUNCT
bracis-28381	2	82	orcid.org/0000-0002-5525-61219	orcid.org/0000-0002-5525-61219	ADJ
bracis-28381	2	83	  	  	SPACE
bracis-28381	2	84	show	show	VERB
bracis-28381	2	85	authors	author	NOUN
bracis-28381	2	86	part	part	NOUN
bracis-28381	2	87	of	of	ADP
bracis-28381	2	88	the	the	DET
bracis-28381	2	89	book	book	NOUN
bracis-28381	2	90	series	series	NOUN
bracis-28381	2	91	:	:	PUNCT
bracis-28381	2	92	lecture	lecture	NOUN
bracis-28381	2	93	notes	note	NOUN
bracis-28381	2	94	in	in	ADP
bracis-28381	2	95	computer	computer	NOUN
bracis-28381	2	96	science	science	NOUN
bracis-28381	2	97	(	(	PUNCT
bracis-28381	2	98	(	(	PUNCT
bracis-28381	2	99	lnai	lnai	ADJ
bracis-28381	2	100	,	,	PUNCT
bracis-28381	2	101	volume	volume	NOUN
bracis-28381	2	102	14196	14196	NUM
bracis-28381	2	103	)	)	PUNCT
bracis-28381	2	104	)	)	PUNCT
bracis-28381	2	105	included	include	VERB
bracis-28381	2	106	in	in	ADP
bracis-28381	2	107	the	the	DET
bracis-28381	2	108	following	follow	VERB
bracis-28381	2	109	conference	conference	NOUN
bracis-28381	2	110	series	series	NOUN
bracis-28381	2	111	:	:	PUNCT
bracis-28381	2	112	brazilian	brazilian	ADJ
bracis-28381	2	113	conference	conference	NOUN
bracis-28381	2	114	on	on	ADP
bracis-28381	2	115	intelligent	intelligent	ADJ
bracis-28381	2	116	systems	system	NOUN
bracis-28381	2	117	527	527	NUM
bracis-28381	2	118	accesses	access	NOUN
bracis-28381	2	119	abstract	abstract	ADV
bracis-28381	2	120	this	this	DET
bracis-28381	2	121	study	study	NOUN
bracis-28381	2	122	explores	explore	VERB
bracis-28381	2	123	convolutional	convolutional	ADJ
bracis-28381	2	124	and	and	CCONJ
bracis-28381	2	125	recursive	recursive	ADJ
bracis-28381	2	126	lstm	lstm	NOUN
bracis-28381	2	127	blocks	block	NOUN
bracis-28381	2	128	within	within	ADP
bracis-28381	2	129	a	a	DET
bracis-28381	2	130	singular	singular	ADJ
bracis-28381	2	131	architecture	architecture	NOUN
bracis-28381	2	132	for	for	ADP
bracis-28381	2	133	forecasting	forecast	VERB
bracis-28381	2	134	stock	stock	NOUN
bracis-28381	2	135	prices	price	NOUN
bracis-28381	2	136	.	.	PUNCT
bracis-28381	3	1	we	we	PRON
bracis-28381	3	2	propose	propose	VERB
bracis-28381	3	3	a	a	DET
bracis-28381	3	4	method	method	NOUN
bracis-28381	3	5	that	that	PRON
bracis-28381	3	6	integrates	integrate	VERB
bracis-28381	3	7	convolutional	convolutional	ADJ
bracis-28381	3	8	networks	network	NOUN
bracis-28381	3	9	,	,	PUNCT
bracis-28381	3	10	which	which	PRON
bracis-28381	3	11	learn	learn	VERB
bracis-28381	3	12	to	to	PART
bracis-28381	3	13	process	process	VERB
bracis-28381	3	14	signals	signal	NOUN
bracis-28381	3	15	through	through	ADP
bracis-28381	3	16	filters	filter	NOUN
bracis-28381	3	17	,	,	PUNCT
bracis-28381	3	18	with	with	ADP
bracis-28381	3	19	recursive	recursive	ADJ
bracis-28381	3	20	lstm	lstm	NOUN
bracis-28381	3	21	blocks	block	NOUN
bracis-28381	3	22	to	to	PART
bracis-28381	3	23	account	account	VERB
bracis-28381	3	24	for	for	ADP
bracis-28381	3	25	critical	critical	ADJ
bracis-28381	3	26	temporal	temporal	ADJ
bracis-28381	3	27	information	information	NOUN
bracis-28381	3	28	often	often	ADV
bracis-28381	3	29	overlooked	overlook	VERB
bracis-28381	3	30	in	in	ADP
bracis-28381	3	31	convolutional	convolutional	ADJ
bracis-28381	3	32	approaches	approach	NOUN
bracis-28381	3	33	.	.	PUNCT
bracis-28381	4	1	our	our	PRON
bracis-28381	4	2	investigation	investigation	NOUN
bracis-28381	4	3	primarily	primarily	ADV
bracis-28381	4	4	revolves	revolve	VERB
bracis-28381	4	5	around	around	ADP
bracis-28381	4	6	two	two	NUM
bracis-28381	4	7	research	research	NOUN
bracis-28381	4	8	questions	question	NOUN
bracis-28381	4	9	:	:	PUNCT
bracis-28381	4	10	(	(	PUNCT
bracis-28381	4	11	1	1	X
bracis-28381	4	12	)	)	PUNCT
bracis-28381	4	13	can	can	AUX
bracis-28381	4	14	integrating	integrate	VERB
bracis-28381	4	15	convolutional	convolutional	ADJ
bracis-28381	4	16	and	and	CCONJ
bracis-28381	4	17	recursive	recursive	ADJ
bracis-28381	4	18	lstm	lstm	NOUN
bracis-28381	4	19	blocks	block	NOUN
bracis-28381	4	20	within	within	ADP
bracis-28381	4	21	a	a	DET
bracis-28381	4	22	singular	singular	ADJ
bracis-28381	4	23	architecture	architecture	NOUN
bracis-28381	4	24	enhance	enhance	NOUN
bracis-28381	4	25	prediction	prediction	NOUN
bracis-28381	4	26	accuracy	accuracy	NOUN
bracis-28381	4	27	?	?	PUNCT
bracis-28381	5	1	and	and	CCONJ
bracis-28381	5	2	(	(	PUNCT
bracis-28381	5	3	2	2	X
bracis-28381	5	4	)	)	PUNCT
bracis-28381	5	5	what	what	PRON
bracis-28381	5	6	is	be	AUX
bracis-28381	5	7	the	the	DET
bracis-28381	5	8	impact	impact	NOUN
bracis-28381	5	9	of	of	ADP
bracis-28381	5	10	training	training	NOUN
bracis-28381	5	11	and	and	CCONJ
bracis-28381	5	12	testing	testing	NOUN
bracis-28381	5	13	with	with	ADP
bracis-28381	5	14	disparate	disparate	ADJ
bracis-28381	5	15	data	data	NOUN
bracis-28381	5	16	distributions	distribution	NOUN
bracis-28381	5	17	?	?	PUNCT
bracis-28381	6	1	the	the	DET
bracis-28381	6	2	latter	latter	ADJ
bracis-28381	6	3	question	question	NOUN
bracis-28381	6	4	arises	arise	VERB
bracis-28381	6	5	from	from	ADP
bracis-28381	6	6	our	our	PRON
bracis-28381	6	7	experiment	experiment	NOUN
bracis-28381	6	8	of	of	ADP
bracis-28381	6	9	training	train	VERB
bracis-28381	6	10	the	the	DET
bracis-28381	6	11	model	model	NOUN
bracis-28381	6	12	using	use	VERB
bracis-28381	6	13	data	datum	NOUN
bracis-28381	6	14	drawn	draw	VERB
bracis-28381	6	15	from	from	ADP
bracis-28381	6	16	the	the	DET
bracis-28381	6	17	indian	indian	ADJ
bracis-28381	6	18	stock	stock	NOUN
bracis-28381	6	19	market	market	NOUN
bracis-28381	6	20	and	and	CCONJ
bracis-28381	6	21	testing	test	VERB
bracis-28381	6	22	the	the	DET
bracis-28381	6	23	predictions	prediction	NOUN
bracis-28381	6	24	with	with	ADP
bracis-28381	6	25	new	new	PROPN
bracis-28381	6	26	york	york	PROPN
bracis-28381	6	27	stock	stock	PROPN
bracis-28381	6	28	market	market	NOUN
bracis-28381	6	29	data	datum	NOUN
bracis-28381	6	30	,	,	PUNCT
bracis-28381	6	31	thus	thus	ADV
bracis-28381	6	32	deviating	deviate	VERB
bracis-28381	6	33	from	from	ADP
bracis-28381	6	34	the	the	DET
bracis-28381	6	35	traditional	traditional	ADJ
bracis-28381	6	36	focus	focus	NOUN
bracis-28381	6	37	on	on	ADP
bracis-28381	6	38	uniform	uniform	ADJ
bracis-28381	6	39	stock	stock	NOUN
bracis-28381	6	40	market	market	NOUN
bracis-28381	6	41	distributions	distribution	NOUN
bracis-28381	6	42	.	.	PUNCT
bracis-28381	7	1	our	our	PRON
bracis-28381	7	2	results	result	NOUN
bracis-28381	7	3	reveal	reveal	VERB
bracis-28381	7	4	a	a	DET
bracis-28381	7	5	notable	notable	ADJ
bracis-28381	7	6	improvement	improvement	NOUN
bracis-28381	7	7	in	in	ADP
bracis-28381	7	8	prediction	prediction	NOUN
bracis-28381	7	9	accuracy	accuracy	NOUN
bracis-28381	7	10	(	(	PUNCT
bracis-28381	7	11	mape	mape	NOUN
bracis-28381	7	12	reduction	reduction	NOUN
bracis-28381	7	13	of	of	ADP
bracis-28381	7	14	2.22	2.22	NUM
bracis-28381	7	15	%	%	NOUN
bracis-28381	7	16	)	)	PUNCT
bracis-28381	7	17	,	,	PUNCT
bracis-28381	7	18	strongly	strongly	ADV
bracis-28381	7	19	suggesting	suggest	VERB
bracis-28381	7	20	that	that	SCONJ
bracis-28381	7	21	pre	pre	ADJ
bracis-28381	7	22	-	-	ADJ
bracis-28381	7	23	processing	processing	ADJ
bracis-28381	7	24	data	datum	NOUN
bracis-28381	7	25	via	via	ADP
bracis-28381	7	26	convolutional	convolutional	ADJ
bracis-28381	7	27	neural	neural	ADJ
bracis-28381	7	28	networks	network	NOUN
bracis-28381	7	29	(	(	PUNCT
bracis-28381	7	30	cnn	cnn	PROPN
bracis-28381	7	31	)	)	PUNCT
bracis-28381	7	32	benefits	benefit	VERB
bracis-28381	7	33	lstm	lstm	NOUN
bracis-28381	7	34	blocks	block	NOUN
bracis-28381	7	35	and	and	CCONJ
bracis-28381	7	36	can	can	AUX
bracis-28381	7	37	enhance	enhance	VERB
bracis-28381	7	38	the	the	DET
bracis-28381	7	39	performance	performance	NOUN
bracis-28381	7	40	of	of	ADP
bracis-28381	7	41	stock	stock	NOUN
bracis-28381	7	42	market	market	NOUN
bracis-28381	7	43	prediction	prediction	NOUN
bracis-28381	7	44	methodologies	methodology	NOUN
bracis-28381	7	45	.	.	PUNCT
bracis-28381	8	1	supported	support	VERB
bracis-28381	8	2	by	by	ADP
bracis-28381	8	3	universidade	universidade	PROPN
bracis-28381	8	4	federal	federal	PROPN
bracis-28381	8	5	de	de	PROPN
bracis-28381	8	6	ouro	ouro	PROPN
bracis-28381	8	7	preto	preto	PROPN
bracis-28381	8	8	,	,	PUNCT
bracis-28381	8	9	fapemig	fapemig	PROPN
bracis-28381	8	10	(	(	PUNCT
bracis-28381	8	11	apq-01518	apq-01518	NOUN
bracis-28381	8	12	-	-	PUNCT
bracis-28381	8	13	21	21	NUM
bracis-28381	8	14	)	)	PUNCT
bracis-28381	8	15	,	,	PUNCT
bracis-28381	8	16	capes	cape	NOUN
bracis-28381	8	17	and	and	CCONJ
bracis-28381	8	18	cnpq	cnpq	NOUN
bracis-28381	8	19	(	(	PUNCT
bracis-28381	8	20	308400/2022	308400/2022	NUM
bracis-28381	8	21	-	-	SYM
bracis-28381	8	22	4	4	NUM
bracis-28381	8	23	)	)	PUNCT
bracis-28381	8	24	.	.	PUNCT
bracis-28381	9	1	access	access	NOUN
bracis-28381	9	2	provided	provide	VERB
bracis-28381	9	3	by	by	ADP
bracis-28381	9	4	university	university	PROPN
bracis-28381	9	5	of	of	ADP
bracis-28381	9	6	notre	notre	PROPN
bracis-28381	9	7	dame	dame	PROPN
bracis-28381	9	8	hesburgh	hesburgh	PROPN
bracis-28381	9	9	library	library	PROPN
bracis-28381	9	10	.	.	PUNCT
bracis-28381	10	1	download	download	PROPN
bracis-28381	10	2	conference	conference	NOUN
bracis-28381	10	3	paper	paper	NOUN
bracis-28381	10	4	pdf	pdf	NOUN
bracis-28381	10	5	similar	similar	ADJ
bracis-28381	10	6	content	content	NOUN
bracis-28381	10	7	being	be	AUX
bracis-28381	10	8	viewed	view	VERB
bracis-28381	10	9	by	by	ADP
bracis-28381	10	10	others	other	NOUN
bracis-28381	10	11	a	a	DET
bracis-28381	10	12	novel	novel	ADJ
bracis-28381	10	13	lstm	lstm	ADJ
bracis-28381	10	14	-	-	PUNCT
bracis-28381	10	15	cnn	cnn	PROPN
bracis-28381	10	16	architecture	architecture	NOUN
bracis-28381	10	17	to	to	PART
bracis-28381	10	18	forecast	forecast	VERB
bracis-28381	10	19	stock	stock	NOUN
bracis-28381	10	20	prices	price	NOUN
bracis-28381	10	21	chapter	chapter	NOUN
bracis-28381	10	22	©	©	PROPN
bracis-28381	10	23	2022	2022	NUM
bracis-28381	10	24	stock	stock	NOUN
bracis-28381	10	25	market	market	NOUN
bracis-28381	10	26	forecasting	forecasting	NOUN
bracis-28381	10	27	using	use	VERB
bracis-28381	10	28	a	a	DET
bracis-28381	10	29	novel	novel	ADJ
bracis-28381	10	30	conv	conv	ADJ
bracis-28381	10	31	-	-	PUNCT
bracis-28381	10	32	lstm	lstm	NOUN
bracis-28381	10	33	deep	deep	ADJ
bracis-28381	10	34	learning	learning	NOUN
bracis-28381	10	35	model	model	NOUN
bracis-28381	10	36	chapter	chapter	NOUN
bracis-28381	10	37	©	©	PROPN
bracis-28381	10	38	2026	2026	NUM
bracis-28381	10	39	analysis	analysis	NOUN
bracis-28381	10	40	and	and	CCONJ
bracis-28381	10	41	forecasting	forecasting	NOUN
bracis-28381	10	42	of	of	ADP
bracis-28381	10	43	financial	financial	ADJ
bracis-28381	10	44	time	time	NOUN
bracis-28381	10	45	series	series	PROPN
bracis-28381	10	46	using	use	VERB
bracis-28381	10	47	cnn	cnn	PROPN
bracis-28381	10	48	and	and	CCONJ
bracis-28381	10	49	lstm	lstm	NOUN
bracis-28381	10	50	-	-	PUNCT
bracis-28381	10	51	based	base	VERB
bracis-28381	10	52	deep	deep	ADJ
bracis-28381	10	53	learning	learning	NOUN
bracis-28381	10	54	models	model	NOUN
bracis-28381	10	55	chapter	chapter	NOUN
bracis-28381	10	56	©	©	PROPN
bracis-28381	10	57	2022	2022	NUM
bracis-28381	10	58	explore	explore	VERB
bracis-28381	10	59	related	relate	VERB
bracis-28381	10	60	subjects	subject	NOUN
bracis-28381	10	61	discover	discover	VERB
bracis-28381	10	62	the	the	DET
bracis-28381	10	63	latest	late	ADJ
bracis-28381	10	64	articles	article	NOUN
bracis-28381	10	65	,	,	PUNCT
bracis-28381	10	66	books	book	NOUN
bracis-28381	10	67	and	and	CCONJ
bracis-28381	10	68	news	news	NOUN
bracis-28381	10	69	in	in	ADP
bracis-28381	10	70	related	related	ADJ
bracis-28381	10	71	subjects	subject	NOUN
bracis-28381	10	72	,	,	PUNCT
bracis-28381	10	73	suggested	suggest	VERB
bracis-28381	10	74	using	use	VERB
bracis-28381	10	75	machine	machine	NOUN
bracis-28381	10	76	learning	learning	NOUN
bracis-28381	10	77	.	.	PUNCT
bracis-28381	11	1	capital	capital	NOUN
bracis-28381	11	2	markets	market	NOUN
bracis-28381	11	3	financial	financial	ADJ
bracis-28381	11	4	economics	economic	NOUN
bracis-28381	11	5	machine	machine	NOUN
bracis-28381	11	6	learning	learn	VERB
bracis-28381	11	7	market	market	NOUN
bracis-28381	11	8	intelligence	intelligence	NOUN
bracis-28381	11	9	quantitative	quantitative	ADJ
bracis-28381	11	10	finance	finance	NOUN
bracis-28381	11	11	structure	structure	NOUN
bracis-28381	11	12	prediction	prediction	NOUN
bracis-28381	11	13	1	1	NUM
bracis-28381	11	14	introduction	introduction	NOUN
bracis-28381	11	15	a	a	DET
bracis-28381	11	16	stock	stock	NOUN
bracis-28381	11	17	market	market	NOUN
bracis-28381	11	18	is	be	AUX
bracis-28381	11	19	where	where	SCONJ
bracis-28381	11	20	companies	company	NOUN
bracis-28381	11	21	can	can	AUX
bracis-28381	11	22	raise	raise	VERB
bracis-28381	11	23	funds	fund	NOUN
bracis-28381	11	24	for	for	ADP
bracis-28381	11	25	their	their	PRON
bracis-28381	11	26	business	business	NOUN
bracis-28381	11	27	by	by	ADP
bracis-28381	11	28	selling	sell	VERB
bracis-28381	11	29	fractional	fractional	ADJ
bracis-28381	11	30	shares	share	NOUN
bracis-28381	11	31	.	.	PUNCT
bracis-28381	12	1	many	many	ADJ
bracis-28381	12	2	individuals	individual	NOUN
bracis-28381	12	3	buy	buy	VERB
bracis-28381	12	4	and	and	CCONJ
bracis-28381	12	5	sell	sell	VERB
bracis-28381	12	6	these	these	DET
bracis-28381	12	7	shares	share	NOUN
bracis-28381	12	8	regularly	regularly	ADV
bracis-28381	12	9	to	to	PART
bracis-28381	12	10	generate	generate	VERB
bracis-28381	12	11	profits	profit	NOUN
bracis-28381	12	12	,	,	PUNCT
bracis-28381	12	13	a	a	DET
bracis-28381	12	14	strategy	strategy	NOUN
bracis-28381	12	15	commonly	commonly	ADV
bracis-28381	12	16	referred	refer	VERB
bracis-28381	12	17	to	to	ADP
bracis-28381	12	18	as	as	ADP
bracis-28381	12	19	day	day	NOUN
bracis-28381	12	20	trading	trading	NOUN
bracis-28381	12	21	.	.	PUNCT
bracis-28381	13	1	day	day	NOUN
bracis-28381	13	2	trading	trading	NOUN
bracis-28381	13	3	involves	involve	VERB
bracis-28381	13	4	purchasing	purchase	VERB
bracis-28381	13	5	and	and	CCONJ
bracis-28381	13	6	selling	sell	VERB
bracis-28381	13	7	shares	share	NOUN
bracis-28381	13	8	on	on	ADP
bracis-28381	13	9	the	the	DET
bracis-28381	13	10	same	same	ADJ
bracis-28381	13	11	day	day	NOUN
bracis-28381	13	12	to	to	PART
bracis-28381	13	13	profit	profit	VERB
bracis-28381	13	14	from	from	ADP
bracis-28381	13	15	price	price	NOUN
bracis-28381	13	16	differences	difference	NOUN
bracis-28381	13	17	.	.	PUNCT
bracis-28381	14	1	traders	trader	NOUN
bracis-28381	14	2	who	who	PRON
bracis-28381	14	3	use	use	VERB
bracis-28381	14	4	this	this	DET
bracis-28381	14	5	strategy	strategy	NOUN
bracis-28381	14	6	often	often	ADV
bracis-28381	14	7	rely	rely	VERB
bracis-28381	14	8	on	on	ADP
bracis-28381	14	9	statistical	statistical	ADJ
bracis-28381	14	10	models	model	NOUN
bracis-28381	14	11	and	and	CCONJ
bracis-28381	14	12	candlestick	candlestick	NOUN
bracis-28381	14	13	patterns	pattern	NOUN
bracis-28381	14	14	to	to	PART
bracis-28381	14	15	predict	predict	VERB
bracis-28381	14	16	future	future	ADJ
bracis-28381	14	17	prices	price	NOUN
bracis-28381	14	18	,	,	PUNCT
bracis-28381	14	19	even	even	ADV
bracis-28381	14	20	though	though	SCONJ
bracis-28381	14	21	the	the	DET
bracis-28381	14	22	market	market	NOUN
bracis-28381	14	23	may	may	AUX
bracis-28381	14	24	be	be	AUX
bracis-28381	14	25	unpredictable	unpredictable	ADJ
bracis-28381	14	26	[	[	X
bracis-28381	14	27	6	6	NUM
bracis-28381	14	28	]	]	PUNCT
bracis-28381	14	29	.	.	PUNCT
bracis-28381	15	1	in	in	ADP
bracis-28381	15	2	contrast	contrast	NOUN
bracis-28381	15	3	to	to	ADP
bracis-28381	15	4	traders	trader	NOUN
bracis-28381	15	5	who	who	PRON
bracis-28381	15	6	use	use	VERB
bracis-28381	15	7	statistical	statistical	ADJ
bracis-28381	15	8	models	model	NOUN
bracis-28381	15	9	or	or	CCONJ
bracis-28381	15	10	candlesticks	candlestick	NOUN
bracis-28381	15	11	,	,	PUNCT
bracis-28381	15	12	some	some	DET
bracis-28381	15	13	investors	investor	NOUN
bracis-28381	15	14	perform	perform	VERB
bracis-28381	15	15	fundamental	fundamental	ADJ
bracis-28381	15	16	analysis	analysis	NOUN
bracis-28381	15	17	.	.	PUNCT
bracis-28381	16	1	these	these	DET
bracis-28381	16	2	individuals	individual	NOUN
bracis-28381	16	3	base	base	VERB
bracis-28381	16	4	their	their	PRON
bracis-28381	16	5	actions	action	NOUN
bracis-28381	16	6	on	on	ADP
bracis-28381	16	7	various	various	ADJ
bracis-28381	16	8	factors	factor	NOUN
bracis-28381	16	9	within	within	ADP
bracis-28381	16	10	the	the	DET
bracis-28381	16	11	company	company	NOUN
bracis-28381	16	12	,	,	PUNCT
bracis-28381	16	13	such	such	ADJ
bracis-28381	16	14	as	as	ADP
bracis-28381	16	15	its	its	PRON
bracis-28381	16	16	profit	profit	NOUN
bracis-28381	16	17	,	,	PUNCT
bracis-28381	16	18	market	market	NOUN
bracis-28381	16	19	value	value	NOUN
bracis-28381	16	20	,	,	PUNCT
bracis-28381	16	21	return	return	VERB
bracis-28381	16	22	on	on	ADP
bracis-28381	16	23	equity	equity	NOUN
bracis-28381	16	24	,	,	PUNCT
bracis-28381	16	25	and	and	CCONJ
bracis-28381	16	26	other	other	ADJ
bracis-28381	16	27	indicators	indicator	NOUN
bracis-28381	16	28	.	.	PUNCT
bracis-28381	17	1	according	accord	VERB
bracis-28381	17	2	to	to	ADP
bracis-28381	17	3	vijh	vijh	NOUN
bracis-28381	17	4	et	et	NOUN
bracis-28381	17	5	al	al	PROPN
bracis-28381	17	6	.	.	PUNCT
bracis-28381	18	1	[	[	X
bracis-28381	18	2	24	24	NUM
bracis-28381	18	3	]	]	PUNCT
bracis-28381	18	4	,	,	PUNCT
bracis-28381	18	5	the	the	DET
bracis-28381	18	6	most	most	ADV
bracis-28381	18	7	challenging	challenging	ADJ
bracis-28381	18	8	aspect	aspect	NOUN
bracis-28381	18	9	of	of	ADP
bracis-28381	18	10	predicting	predict	VERB
bracis-28381	18	11	stock	stock	NOUN
bracis-28381	18	12	prices	price	NOUN
bracis-28381	18	13	is	be	AUX
bracis-28381	18	14	the	the	DET
bracis-28381	18	15	influence	influence	NOUN
bracis-28381	18	16	of	of	ADP
bracis-28381	18	17	external	external	ADJ
bracis-28381	18	18	factors	factor	NOUN
bracis-28381	18	19	,	,	PUNCT
bracis-28381	18	20	such	such	ADJ
bracis-28381	18	21	as	as	ADP
bracis-28381	18	22	the	the	DET
bracis-28381	18	23	global	global	ADJ
bracis-28381	18	24	economy	economy	NOUN
bracis-28381	18	25	and	and	CCONJ
bracis-28381	18	26	political	political	ADJ
bracis-28381	18	27	conditions	condition	NOUN
bracis-28381	18	28	.	.	PUNCT
bracis-28381	19	1	despite	despite	SCONJ
bracis-28381	19	2	this	this	DET
bracis-28381	19	3	challenge	challenge	NOUN
bracis-28381	19	4	,	,	PUNCT
bracis-28381	19	5	previous	previous	ADJ
bracis-28381	19	6	works	work	NOUN
bracis-28381	19	7	in	in	ADP
bracis-28381	19	8	this	this	DET
bracis-28381	19	9	field	field	NOUN
bracis-28381	19	10	often	often	ADV
bracis-28381	19	11	employ	employ	VERB
bracis-28381	19	12	classical	classical	ADJ
bracis-28381	19	13	algorithms	algorithm	NOUN
bracis-28381	19	14	,	,	PUNCT
bracis-28381	19	15	such	such	ADJ
bracis-28381	19	16	as	as	ADP
bracis-28381	19	17	linear	linear	PROPN
bracis-28381	19	18	regression	regression	NOUN
bracis-28381	19	19	,	,	PUNCT
bracis-28381	19	20	random	random	ADJ
bracis-28381	19	21	walk	walk	NOUN
bracis-28381	19	22	theory	theory	NOUN
bracis-28381	19	23	[	[	X
bracis-28381	19	24	11	11	NUM
bracis-28381	19	25	]	]	PUNCT
bracis-28381	19	26	,	,	PUNCT
bracis-28381	19	27	moving	move	VERB
bracis-28381	19	28	average	average	ADJ
bracis-28381	19	29	convergence	convergence	NOUN
bracis-28381	19	30	/	/	SYM
bracis-28381	19	31	divergence	divergence	NOUN
bracis-28381	19	32	[	[	X
bracis-28381	19	33	2	2	NUM
bracis-28381	19	34	]	]	PUNCT
bracis-28381	19	35	,	,	PUNCT
bracis-28381	19	36	autoregressive	autoregressive	ADJ
bracis-28381	19	37	moving	move	VERB
bracis-28381	19	38	average	average	NOUN
bracis-28381	19	39	[	[	X
bracis-28381	19	40	22	22	NUM
bracis-28381	19	41	]	]	PUNCT
bracis-28381	19	42	,	,	PUNCT
bracis-28381	19	43	and	and	CCONJ
bracis-28381	19	44	autoregressive	autoregressive	ADJ
bracis-28381	19	45	integrated	integrated	ADJ
bracis-28381	19	46	moving	move	VERB
bracis-28381	19	47	average	average	NOUN
bracis-28381	19	48	[	[	X
bracis-28381	19	49	3	3	NUM
bracis-28381	19	50	]	]	PUNCT
bracis-28381	19	51	to	to	PART
bracis-28381	19	52	predict	predict	VERB
bracis-28381	19	53	stock	stock	NOUN
bracis-28381	19	54	prices	price	NOUN
bracis-28381	19	55	.	.	PUNCT
bracis-28381	20	1	traditional	traditional	ADJ
bracis-28381	20	2	machine	machine	NOUN
bracis-28381	20	3	learning	learn	VERB
bracis-28381	20	4	techniques	technique	NOUN
bracis-28381	20	5	,	,	PUNCT
bracis-28381	20	6	such	such	ADJ
bracis-28381	20	7	as	as	ADP
bracis-28381	20	8	support	support	NOUN
bracis-28381	20	9	vector	vector	NOUN
bracis-28381	20	10	machines	machine	NOUN
bracis-28381	20	11	(	(	PUNCT
bracis-28381	20	12	svms	svms	NOUN
bracis-28381	20	13	)	)	PUNCT
bracis-28381	21	1	[	[	X
bracis-28381	21	2	14	14	NUM
bracis-28381	21	3	]	]	PUNCT
bracis-28381	21	4	and	and	CCONJ
bracis-28381	21	5	random	random	ADJ
bracis-28381	21	6	forests	forest	NOUN
bracis-28381	21	7	[	[	X
bracis-28381	21	8	19	19	NUM
bracis-28381	21	9	]	]	PUNCT
bracis-28381	21	10	,	,	PUNCT
bracis-28381	21	11	can	can	AUX
bracis-28381	21	12	be	be	AUX
bracis-28381	21	13	used	use	VERB
bracis-28381	21	14	to	to	PART
bracis-28381	21	15	enhance	enhance	VERB
bracis-28381	21	16	stock	stock	NOUN
bracis-28381	21	17	market	market	NOUN
bracis-28381	21	18	prediction	prediction	NOUN
bracis-28381	21	19	.	.	PUNCT
bracis-28381	22	1	additionally	additionally	ADV
bracis-28381	22	2	,	,	PUNCT
bracis-28381	22	3	many	many	ADJ
bracis-28381	22	4	researchers	researcher	NOUN
bracis-28381	22	5	are	be	AUX
bracis-28381	22	6	exploring	explore	VERB
bracis-28381	22	7	artificial	artificial	ADJ
bracis-28381	22	8	neural	neural	ADJ
bracis-28381	22	9	networks	network	NOUN
bracis-28381	22	10	(	(	PUNCT
bracis-28381	22	11	anns	anns	PROPN
bracis-28381	22	12	)	)	PUNCT
bracis-28381	22	13	to	to	PART
bracis-28381	22	14	predict	predict	VERB
bracis-28381	22	15	stock	stock	NOUN
bracis-28381	22	16	prices	price	NOUN
bracis-28381	22	17	and	and	CCONJ
bracis-28381	22	18	automate	automate	ADJ
bracis-28381	22	19	trading	trading	NOUN
bracis-28381	22	20	for	for	ADP
bracis-28381	22	21	passive	passive	ADJ
bracis-28381	22	22	income	income	NOUN
bracis-28381	22	23	.	.	PUNCT
bracis-28381	23	1	for	for	ADP
bracis-28381	23	2	example	example	NOUN
bracis-28381	23	3	,	,	PUNCT
bracis-28381	23	4	lu	lu	PROPN
bracis-28381	23	5	et	et	PROPN
bracis-28381	23	6	al	al	PROPN
bracis-28381	23	7	.	.	PUNCT
bracis-28381	24	1	[	[	X
bracis-28381	24	2	17	17	NUM
bracis-28381	24	3	]	]	PUNCT
bracis-28381	24	4	and	and	CCONJ
bracis-28381	24	5	singh	singh	PROPN
bracis-28381	24	6	and	and	CCONJ
bracis-28381	24	7	srivastava	srivastava	PROPN
bracis-28381	24	8	[	[	X
bracis-28381	24	9	21	21	NUM
bracis-28381	24	10	]	]	PUNCT
bracis-28381	24	11	utilize	utilize	VERB
bracis-28381	24	12	anns	anns	NOUN
bracis-28381	24	13	for	for	ADP
bracis-28381	24	14	this	this	DET
bracis-28381	24	15	purpose	purpose	NOUN
bracis-28381	24	16	.	.	PUNCT
bracis-28381	25	1	currently	currently	ADV
bracis-28381	25	2	,	,	PUNCT
bracis-28381	25	3	certain	certain	ADJ
bracis-28381	25	4	types	type	NOUN
bracis-28381	25	5	of	of	ADP
bracis-28381	25	6	anns	ann	NOUN
bracis-28381	25	7	,	,	PUNCT
bracis-28381	25	8	such	such	ADJ
bracis-28381	25	9	as	as	ADP
bracis-28381	25	10	recurrent	recurrent	ADJ
bracis-28381	25	11	neural	neural	ADJ
bracis-28381	25	12	networks	network	NOUN
bracis-28381	25	13	(	(	PUNCT
bracis-28381	25	14	rnns	rnns	PROPN
bracis-28381	25	15	)	)	PUNCT
bracis-28381	26	1	[	[	X
bracis-28381	26	2	8	8	NUM
bracis-28381	26	3	]	]	PUNCT
bracis-28381	26	4	,	,	PUNCT
bracis-28381	26	5	are	be	AUX
bracis-28381	26	6	showing	show	VERB
bracis-28381	26	7	promising	promising	ADJ
bracis-28381	26	8	results	result	NOUN
bracis-28381	26	9	.	.	PUNCT
bracis-28381	27	1	these	these	DET
bracis-28381	27	2	networks	network	NOUN
bracis-28381	27	3	analyze	analyze	VERB
bracis-28381	27	4	current	current	ADJ
bracis-28381	27	5	data	datum	NOUN
bracis-28381	27	6	and	and	CCONJ
bracis-28381	27	7	use	use	VERB
bracis-28381	27	8	previous	previous	ADJ
bracis-28381	27	9	data	datum	NOUN
bracis-28381	27	10	to	to	PART
bracis-28381	27	11	make	make	VERB
bracis-28381	27	12	a	a	DET
bracis-28381	27	13	single	single	ADJ
bracis-28381	27	14	prediction	prediction	NOUN
bracis-28381	27	15	.	.	PUNCT
bracis-28381	28	1	in	in	ADP
bracis-28381	28	2	[	[	X
bracis-28381	28	3	9	9	NUM
bracis-28381	28	4	]	]	PUNCT
bracis-28381	28	5	,	,	PUNCT
bracis-28381	28	6	the	the	DET
bracis-28381	28	7	authors	author	NOUN
bracis-28381	28	8	demonstrated	demonstrate	VERB
bracis-28381	28	9	that	that	SCONJ
bracis-28381	28	10	deep	deep	ADJ
bracis-28381	28	11	learning	learning	NOUN
bracis-28381	28	12	models	model	NOUN
bracis-28381	28	13	,	,	PUNCT
bracis-28381	28	14	specifically	specifically	ADV
bracis-28381	28	15	multi	multi	ADJ
bracis-28381	28	16	-	-	ADJ
bracis-28381	28	17	layer	layer	ADJ
bracis-28381	28	18	perceptron	perceptron	NOUN
bracis-28381	28	19	,	,	PUNCT
bracis-28381	28	20	recursive	recursive	ADJ
bracis-28381	28	21	(	(	PUNCT
bracis-28381	28	22	rnns	rnns	NOUN
bracis-28381	28	23	)	)	PUNCT
bracis-28381	28	24	,	,	PUNCT
bracis-28381	28	25	and	and	CCONJ
bracis-28381	28	26	convolutional	convolutional	ADJ
bracis-28381	28	27	networks	network	NOUN
bracis-28381	28	28	,	,	PUNCT
bracis-28381	28	29	can	can	AUX
bracis-28381	28	30	be	be	AUX
bracis-28381	28	31	more	more	ADV
bracis-28381	28	32	effective	effective	ADJ
bracis-28381	28	33	than	than	ADP
bracis-28381	28	34	traditional	traditional	ADJ
bracis-28381	28	35	statistical	statistical	ADJ
bracis-28381	28	36	methods	method	NOUN
bracis-28381	28	37	,	,	PUNCT
bracis-28381	28	38	like	like	ADP
bracis-28381	28	39	arima	arima	NOUN
bracis-28381	28	40	,	,	PUNCT
bracis-28381	28	41	for	for	ADP
bracis-28381	28	42	stock	stock	NOUN
bracis-28381	28	43	prediction	prediction	NOUN
bracis-28381	28	44	.	.	PUNCT
bracis-28381	29	1	the	the	DET
bracis-28381	29	2	authors	author	NOUN
bracis-28381	29	3	trained	train	VERB
bracis-28381	29	4	the	the	DET
bracis-28381	29	5	models	model	NOUN
bracis-28381	29	6	on	on	ADP
bracis-28381	29	7	data	datum	NOUN
bracis-28381	29	8	from	from	ADP
bracis-28381	29	9	a	a	DET
bracis-28381	29	10	single	single	ADJ
bracis-28381	29	11	company	company	NOUN
bracis-28381	29	12	listed	list	VERB
bracis-28381	29	13	on	on	ADP
bracis-28381	29	14	india	india	PROPN
bracis-28381	29	15	’s	’s	PART
bracis-28381	29	16	national	national	PROPN
bracis-28381	29	17	stock	stock	PROPN
bracis-28381	29	18	exchange	exchange	PROPN
bracis-28381	29	19	(	(	PUNCT
bracis-28381	29	20	nse	nse	NOUN
bracis-28381	29	21	)	)	PUNCT
bracis-28381	29	22	and	and	CCONJ
bracis-28381	29	23	evaluated	evaluate	VERB
bracis-28381	29	24	the	the	DET
bracis-28381	29	25	approach	approach	NOUN
bracis-28381	29	26	on	on	ADP
bracis-28381	29	27	five	five	NUM
bracis-28381	29	28	stocks	stock	NOUN
bracis-28381	29	29	listed	list	VERB
bracis-28381	29	30	on	on	ADP
bracis-28381	29	31	the	the	DET
bracis-28381	29	32	new	new	PROPN
bracis-28381	29	33	york	york	PROPN
bracis-28381	29	34	stock	stock	PROPN
bracis-28381	29	35	exchange	exchange	PROPN
bracis-28381	29	36	(	(	PUNCT
bracis-28381	29	37	nyse	nyse	PROPN
bracis-28381	29	38	)	)	PUNCT
bracis-28381	29	39	.	.	PUNCT
bracis-28381	30	1	many	many	ADJ
bracis-28381	30	2	works	work	VERB
bracis-28381	30	3	in	in	ADP
bracis-28381	30	4	the	the	DET
bracis-28381	30	5	literature	literature	NOUN
bracis-28381	30	6	explore	explore	NOUN
bracis-28381	30	7	machine	machine	NOUN
bracis-28381	30	8	learning	learning	NOUN
bracis-28381	30	9	using	use	VERB
bracis-28381	30	10	sequential	sequential	ADJ
bracis-28381	30	11	models	model	NOUN
bracis-28381	30	12	for	for	ADP
bracis-28381	30	13	forecasting	forecast	VERB
bracis-28381	30	14	stock	stock	NOUN
bracis-28381	30	15	prices	price	NOUN
bracis-28381	30	16	[	[	X
bracis-28381	30	17	8	8	NUM
bracis-28381	30	18	,	,	PUNCT
bracis-28381	30	19	9	9	NUM
bracis-28381	30	20	]	]	PUNCT
bracis-28381	30	21	,	,	PUNCT
bracis-28381	30	22	often	often	ADV
bracis-28381	30	23	incorporating	incorporate	VERB
bracis-28381	30	24	filters	filter	NOUN
bracis-28381	30	25	such	such	ADJ
bracis-28381	30	26	as	as	ADP
bracis-28381	30	27	moving	move	VERB
bracis-28381	30	28	averages	average	NOUN
bracis-28381	30	29	to	to	PART
bracis-28381	30	30	smooth	smooth	ADJ
bracis-28381	30	31	time	time	NOUN
bracis-28381	30	32	series	series	PROPN
bracis-28381	30	33	data	data	PROPN
bracis-28381	30	34	.	.	PUNCT
bracis-28381	31	1	some	some	DET
bracis-28381	31	2	studies	study	NOUN
bracis-28381	31	3	employ	employ	VERB
bracis-28381	31	4	convolutional	convolutional	ADJ
bracis-28381	31	5	networks	network	NOUN
bracis-28381	31	6	that	that	PRON
bracis-28381	31	7	learn	learn	VERB
bracis-28381	31	8	to	to	PART
bracis-28381	31	9	process	process	VERB
bracis-28381	31	10	signals	signal	NOUN
bracis-28381	31	11	via	via	ADP
bracis-28381	31	12	filters	filter	NOUN
bracis-28381	31	13	,	,	PUNCT
bracis-28381	31	14	yet	yet	CCONJ
bracis-28381	31	15	these	these	DET
bracis-28381	31	16	networks	network	NOUN
bracis-28381	31	17	tend	tend	VERB
bracis-28381	31	18	to	to	PART
bracis-28381	31	19	neglect	neglect	VERB
bracis-28381	31	20	temporal	temporal	ADJ
bracis-28381	31	21	information	information	NOUN
bracis-28381	31	22	.	.	PUNCT
bracis-28381	32	1	this	this	DET
bracis-28381	32	2	observation	observation	NOUN
bracis-28381	32	3	steered	steer	VERB
bracis-28381	32	4	us	we	PRON
bracis-28381	32	5	towards	towards	ADP
bracis-28381	32	6	a	a	DET
bracis-28381	32	7	research	research	NOUN
bracis-28381	32	8	question	question	NOUN
bracis-28381	32	9	:	:	PUNCT
bracis-28381	32	10	can	can	AUX
bracis-28381	32	11	the	the	DET
bracis-28381	32	12	integration	integration	NOUN
bracis-28381	32	13	of	of	ADP
bracis-28381	32	14	convolutional	convolutional	ADJ
bracis-28381	32	15	and	and	CCONJ
bracis-28381	32	16	recursive	recursive	ADJ
bracis-28381	32	17	lstm	lstm	NOUN
bracis-28381	32	18	blocks	block	NOUN
bracis-28381	32	19	within	within	ADP
bracis-28381	32	20	a	a	DET
bracis-28381	32	21	singular	singular	ADJ
bracis-28381	32	22	architecture	architecture	NOUN
bracis-28381	32	23	bolster	bolster	VERB
bracis-28381	32	24	the	the	DET
bracis-28381	32	25	results	result	NOUN
bracis-28381	32	26	?	?	PUNCT
bracis-28381	33	1	simultaneously	simultaneously	ADV
bracis-28381	33	2	,	,	PUNCT
bracis-28381	33	3	this	this	DET
bracis-28381	33	4	work	work	NOUN
bracis-28381	33	5	aims	aim	VERB
bracis-28381	33	6	to	to	PART
bracis-28381	33	7	probe	probe	VERB
bracis-28381	33	8	a	a	DET
bracis-28381	33	9	further	further	ADJ
bracis-28381	33	10	research	research	NOUN
bracis-28381	33	11	question	question	NOUN
bracis-28381	33	12	:	:	PUNCT
bracis-28381	33	13	what	what	PRON
bracis-28381	33	14	is	be	AUX
bracis-28381	33	15	the	the	DET
bracis-28381	33	16	impact	impact	NOUN
bracis-28381	33	17	of	of	ADP
bracis-28381	33	18	training	training	NOUN
bracis-28381	33	19	and	and	CCONJ
bracis-28381	33	20	testing	testing	NOUN
bracis-28381	33	21	with	with	ADP
bracis-28381	33	22	different	different	ADJ
bracis-28381	33	23	data	datum	NOUN
bracis-28381	33	24	distributions	distribution	NOUN
bracis-28381	33	25	?	?	PUNCT
bracis-28381	34	1	a	a	DET
bracis-28381	34	2	majority	majority	NOUN
bracis-28381	34	3	of	of	ADP
bracis-28381	34	4	the	the	DET
bracis-28381	34	5	existing	exist	VERB
bracis-28381	34	6	studies	study	NOUN
bracis-28381	34	7	prioritize	prioritize	VERB
bracis-28381	34	8	predicting	predict	VERB
bracis-28381	34	9	stock	stock	NOUN
bracis-28381	34	10	trends	trend	NOUN
bracis-28381	34	11	from	from	ADP
bracis-28381	34	12	a	a	DET
bracis-28381	34	13	more	more	ADV
bracis-28381	34	14	uniform	uniform	ADJ
bracis-28381	34	15	data	datum	NOUN
bracis-28381	34	16	distribution	distribution	NOUN
bracis-28381	34	17	,	,	PUNCT
bracis-28381	34	18	often	often	ADV
bracis-28381	34	19	concentrating	concentrate	VERB
bracis-28381	34	20	on	on	ADP
bracis-28381	34	21	the	the	DET
bracis-28381	34	22	same	same	ADJ
bracis-28381	34	23	stock	stock	NOUN
bracis-28381	34	24	market	market	NOUN
bracis-28381	34	25	.	.	PUNCT
bracis-28381	35	1	to	to	PART
bracis-28381	35	2	heighten	heighten	VERB
bracis-28381	35	3	the	the	DET
bracis-28381	35	4	level	level	NOUN
bracis-28381	35	5	of	of	ADP
bracis-28381	35	6	challenge	challenge	NOUN
bracis-28381	35	7	,	,	PUNCT
bracis-28381	35	8	we	we	PRON
bracis-28381	35	9	ran	run	VERB
bracis-28381	35	10	experiments	experiment	NOUN
bracis-28381	35	11	to	to	PART
bracis-28381	35	12	predict	predict	VERB
bracis-28381	35	13	from	from	ADP
bracis-28381	35	14	different	different	ADJ
bracis-28381	35	15	distributions	distribution	NOUN
bracis-28381	35	16	:	:	PUNCT
bracis-28381	35	17	specifically	specifically	ADV
bracis-28381	35	18	,	,	PUNCT
bracis-28381	35	19	training	training	NOUN
bracis-28381	35	20	with	with	ADP
bracis-28381	35	21	data	datum	NOUN
bracis-28381	35	22	drawn	draw	VERB
bracis-28381	35	23	from	from	ADP
bracis-28381	35	24	the	the	DET
bracis-28381	35	25	indian	indian	ADJ
bracis-28381	35	26	stock	stock	NOUN
bracis-28381	35	27	market	market	NOUN
bracis-28381	35	28	and	and	CCONJ
bracis-28381	35	29	testing	test	VERB
bracis-28381	35	30	the	the	DET
bracis-28381	35	31	predictions	prediction	NOUN
bracis-28381	35	32	using	use	VERB
bracis-28381	35	33	data	datum	NOUN
bracis-28381	35	34	from	from	ADP
bracis-28381	35	35	the	the	DET
bracis-28381	35	36	new	new	PROPN
bracis-28381	35	37	york	york	PROPN
bracis-28381	35	38	stock	stock	NOUN
bracis-28381	35	39	market	market	NOUN
bracis-28381	35	40	.	.	PUNCT
bracis-28381	36	1	our	our	PRON
bracis-28381	36	2	experiments	experiment	NOUN
bracis-28381	36	3	indicate	indicate	VERB
bracis-28381	36	4	a	a	DET
bracis-28381	36	5	substantial	substantial	ADJ
bracis-28381	36	6	improvement	improvement	NOUN
bracis-28381	36	7	and	and	CCONJ
bracis-28381	36	8	strongly	strongly	ADV
bracis-28381	36	9	suggest	suggest	VERB
bracis-28381	36	10	that	that	SCONJ
bracis-28381	36	11	pre	pre	ADJ
bracis-28381	36	12	-	-	ADJ
bracis-28381	36	13	processing	processing	ADJ
bracis-28381	36	14	data	datum	NOUN
bracis-28381	36	15	through	through	ADP
bracis-28381	36	16	convolutional	convolutional	ADJ
bracis-28381	36	17	neural	neural	ADJ
bracis-28381	36	18	networks	network	NOUN
bracis-28381	36	19	(	(	PUNCT
bracis-28381	36	20	cnn	cnn	PROPN
bracis-28381	36	21	)	)	PUNCT
bracis-28381	36	22	benefits	benefit	VERB
bracis-28381	36	23	lstm	lstm	NOUN
bracis-28381	36	24	blocks	block	NOUN
bracis-28381	36	25	for	for	ADP
bracis-28381	36	26	the	the	DET
bracis-28381	36	27	task	task	NOUN
bracis-28381	36	28	in	in	ADP
bracis-28381	36	29	question	question	NOUN
bracis-28381	36	30	.	.	PUNCT
bracis-28381	37	1	this	this	DET
bracis-28381	37	2	approach	approach	NOUN
bracis-28381	37	3	underscores	underscore	VERB
bracis-28381	37	4	the	the	DET
bracis-28381	37	5	potential	potential	ADJ
bracis-28381	37	6	efficacy	efficacy	NOUN
bracis-28381	37	7	of	of	ADP
bracis-28381	37	8	incorporating	incorporate	VERB
bracis-28381	37	9	convolutional	convolutional	ADJ
bracis-28381	37	10	layers	layer	NOUN
bracis-28381	37	11	in	in	ADP
bracis-28381	37	12	sequence	sequence	NOUN
bracis-28381	37	13	prediction	prediction	NOUN
bracis-28381	37	14	tasks	task	NOUN
bracis-28381	37	15	,	,	PUNCT
bracis-28381	37	16	thereby	thereby	ADV
bracis-28381	37	17	contributing	contribute	VERB
bracis-28381	37	18	to	to	ADP
bracis-28381	37	19	the	the	DET
bracis-28381	37	20	broader	broad	ADJ
bracis-28381	37	21	conversation	conversation	NOUN
bracis-28381	37	22	around	around	ADP
bracis-28381	37	23	stock	stock	NOUN
bracis-28381	37	24	market	market	NOUN
bracis-28381	37	25	prediction	prediction	NOUN
bracis-28381	37	26	methodologies	methodology	NOUN
bracis-28381	37	27	this	this	DET
bracis-28381	37	28	manuscript	manuscript	NOUN
bracis-28381	37	29	is	be	AUX
bracis-28381	37	30	divided	divide	VERB
bracis-28381	37	31	as	as	ADP
bracis-28381	37	32	follows	follow	VERB
bracis-28381	37	33	.	.	PUNCT
bracis-28381	38	1	section	section	NOUN
bracis-28381	38	2	 	 	SPACE
bracis-28381	38	3	2	2	NUM
bracis-28381	38	4	shows	show	VERB
bracis-28381	38	5	similar	similar	ADJ
bracis-28381	38	6	papers	paper	NOUN
bracis-28381	38	7	written	write	VERB
bracis-28381	38	8	by	by	ADP
bracis-28381	38	9	different	different	ADJ
bracis-28381	38	10	researchers	researcher	NOUN
bracis-28381	38	11	and	and	CCONJ
bracis-28381	38	12	the	the	DET
bracis-28381	38	13	reported	report	VERB
bracis-28381	38	14	results	result	NOUN
bracis-28381	38	15	.	.	PUNCT
bracis-28381	39	1	section	section	NOUN
bracis-28381	39	2	 	 	SPACE
bracis-28381	39	3	3	3	NUM
bracis-28381	39	4	presents	present	VERB
bracis-28381	39	5	the	the	DET
bracis-28381	39	6	data	datum	NOUN
bracis-28381	39	7	and	and	CCONJ
bracis-28381	39	8	models	model	NOUN
bracis-28381	39	9	used	use	VERB
bracis-28381	39	10	and	and	CCONJ
bracis-28381	39	11	how	how	SCONJ
bracis-28381	39	12	they	they	PRON
bracis-28381	39	13	were	be	AUX
bracis-28381	39	14	built	build	VERB
bracis-28381	39	15	.	.	PUNCT
bracis-28381	40	1	section	section	NOUN
bracis-28381	40	2	 	 	SPACE
bracis-28381	40	3	4	4	NUM
bracis-28381	40	4	addresses	address	NOUN
bracis-28381	40	5	the	the	DET
bracis-28381	40	6	experiments	experiment	NOUN
bracis-28381	40	7	made	make	VERB
bracis-28381	40	8	and	and	CCONJ
bracis-28381	40	9	compares	compare	VERB
bracis-28381	40	10	the	the	DET
bracis-28381	40	11	results	result	NOUN
bracis-28381	40	12	obtained	obtain	VERB
bracis-28381	40	13	and	and	CCONJ
bracis-28381	40	14	the	the	DET
bracis-28381	40	15	literature	literature	NOUN
bracis-28381	40	16	results	result	VERB
bracis-28381	40	17	hiransha	hiransha	VERB
bracis-28381	40	18	et	et	PROPN
bracis-28381	40	19	al	al	PROPN
bracis-28381	40	20	.	.	PUNCT
bracis-28381	41	1	[	[	X
bracis-28381	41	2	9	9	NUM
bracis-28381	41	3	]	]	PUNCT
bracis-28381	41	4	.	.	PUNCT
bracis-28381	42	1	finally	finally	ADV
bracis-28381	42	2	,	,	PUNCT
bracis-28381	42	3	conclusions	conclusion	NOUN
bracis-28381	42	4	are	be	AUX
bracis-28381	42	5	presented	present	VERB
bracis-28381	42	6	in	in	ADP
bracis-28381	42	7	sect	sect	NOUN
bracis-28381	42	8	.	.	PUNCT
bracis-28381	42	9	 	 	SPACE
bracis-28381	43	1	5	5	NUM
bracis-28381	43	2	.	.	SYM
bracis-28381	43	3	2	2	NUM
bracis-28381	43	4	related	relate	VERB
bracis-28381	43	5	works	work	NOUN
bracis-28381	43	6	in	in	ADP
bracis-28381	43	7	this	this	DET
bracis-28381	43	8	section	section	NOUN
bracis-28381	43	9	,	,	PUNCT
bracis-28381	43	10	we	we	PRON
bracis-28381	43	11	present	present	VERB
bracis-28381	43	12	several	several	ADJ
bracis-28381	43	13	works	work	NOUN
bracis-28381	43	14	that	that	PRON
bracis-28381	43	15	use	use	VERB
bracis-28381	43	16	machine	machine	NOUN
bracis-28381	43	17	learning	learning	NOUN
bracis-28381	43	18	and	and	CCONJ
bracis-28381	43	19	deep	deep	ADJ
bracis-28381	43	20	learning	learning	NOUN
bracis-28381	43	21	for	for	ADP
bracis-28381	43	22	stock	stock	NOUN
bracis-28381	43	23	prediction	prediction	NOUN
bracis-28381	43	24	.	.	PUNCT
bracis-28381	44	1	besides	besides	SCONJ
bracis-28381	44	2	,	,	PUNCT
bracis-28381	44	3	it	it	PRON
bracis-28381	44	4	is	be	AUX
bracis-28381	44	5	also	also	ADV
bracis-28381	44	6	presented	present	VERB
bracis-28381	44	7	the	the	DET
bracis-28381	44	8	kind	kind	NOUN
bracis-28381	44	9	of	of	ADP
bracis-28381	44	10	data	datum	NOUN
bracis-28381	44	11	used	use	VERB
bracis-28381	44	12	in	in	ADP
bracis-28381	44	13	these	these	DET
bracis-28381	44	14	works	work	NOUN
bracis-28381	44	15	.	.	PUNCT
bracis-28381	45	1	stock	stock	NOUN
bracis-28381	45	2	prediction	prediction	NOUN
bracis-28381	45	3	is	be	AUX
bracis-28381	45	4	a	a	DET
bracis-28381	45	5	challenging	challenging	ADJ
bracis-28381	45	6	and	and	CCONJ
bracis-28381	45	7	popular	popular	ADJ
bracis-28381	45	8	research	research	NOUN
bracis-28381	45	9	area	area	NOUN
bracis-28381	45	10	that	that	PRON
bracis-28381	45	11	,	,	PUNCT
bracis-28381	45	12	if	if	SCONJ
bracis-28381	45	13	successful	successful	ADJ
bracis-28381	45	14	,	,	PUNCT
bracis-28381	45	15	can	can	AUX
bracis-28381	45	16	yield	yield	VERB
bracis-28381	45	17	profitable	profitable	ADJ
bracis-28381	45	18	results	result	NOUN
bracis-28381	45	19	.	.	PUNCT
bracis-28381	46	1	jiang	jiang	PROPN
bracis-28381	47	1	[	[	X
bracis-28381	47	2	12	12	NUM
bracis-28381	47	3	]	]	PUNCT
bracis-28381	47	4	presents	present	VERB
bracis-28381	47	5	several	several	ADJ
bracis-28381	47	6	papers	paper	NOUN
bracis-28381	47	7	on	on	ADP
bracis-28381	47	8	this	this	DET
bracis-28381	47	9	topic	topic	NOUN
bracis-28381	47	10	,	,	PUNCT
bracis-28381	47	11	where	where	SCONJ
bracis-28381	47	12	most	most	ADV
bracis-28381	47	13	utilize	utilize	VERB
bracis-28381	47	14	standard	standard	ADJ
bracis-28381	47	15	data	datum	NOUN
bracis-28381	47	16	(	(	PUNCT
bracis-28381	47	17	open	open	ADJ
bracis-28381	47	18	,	,	PUNCT
bracis-28381	47	19	close	close	ADJ
bracis-28381	47	20	,	,	PUNCT
bracis-28381	47	21	high	high	ADJ
bracis-28381	47	22	,	,	PUNCT
bracis-28381	47	23	low	low	ADJ
bracis-28381	47	24	,	,	PUNCT
bracis-28381	47	25	and	and	CCONJ
bracis-28381	47	26	volume	volume	NOUN
bracis-28381	47	27	)	)	PUNCT
bracis-28381	47	28	to	to	PART
bracis-28381	47	29	train	train	VERB
bracis-28381	47	30	models	model	NOUN
bracis-28381	47	31	and	and	CCONJ
bracis-28381	47	32	compare	compare	VERB
bracis-28381	47	33	their	their	PRON
bracis-28381	47	34	performance	performance	NOUN
bracis-28381	47	35	with	with	ADP
bracis-28381	47	36	real	real	ADJ
bracis-28381	47	37	-	-	PUNCT
bracis-28381	47	38	market	market	NOUN
bracis-28381	47	39	results	result	NOUN
bracis-28381	47	40	.	.	PUNCT
bracis-28381	48	1	for	for	ADP
bracis-28381	48	2	example	example	NOUN
bracis-28381	48	3	,	,	PUNCT
bracis-28381	48	4	vijh	vijh	VERB
bracis-28381	48	5	et	et	NOUN
bracis-28381	48	6	al	al	PROPN
bracis-28381	48	7	.	.	PUNCT
bracis-28381	49	1	[	[	X
bracis-28381	49	2	24	24	NUM
bracis-28381	49	3	]	]	PUNCT
bracis-28381	49	4	collected	collect	VERB
bracis-28381	49	5	ten	ten	NUM
bracis-28381	49	6	years	year	NOUN
bracis-28381	49	7	of	of	ADP
bracis-28381	49	8	data	datum	NOUN
bracis-28381	49	9	on	on	ADP
bracis-28381	49	10	five	five	NUM
bracis-28381	49	11	usa	usa	NOUN
bracis-28381	49	12	-	-	PUNCT
bracis-28381	49	13	based	base	VERB
bracis-28381	49	14	companies	company	NOUN
bracis-28381	49	15	using	use	VERB
bracis-28381	49	16	yahoo	yahoo	PROPN
bracis-28381	49	17	finance	finance	NOUN
bracis-28381	49	18	and	and	CCONJ
bracis-28381	49	19	trained	train	VERB
bracis-28381	49	20	a	a	DET
bracis-28381	49	21	low	low	ADJ
bracis-28381	49	22	-	-	PUNCT
bracis-28381	49	23	complexity	complexity	NOUN
bracis-28381	49	24	ann	ann	PROPN
bracis-28381	49	25	model	model	NOUN
bracis-28381	49	26	,	,	PUNCT
bracis-28381	49	27	which	which	PRON
bracis-28381	49	28	achieved	achieve	VERB
bracis-28381	49	29	an	an	DET
bracis-28381	49	30	rmse	rmse	NOUN
bracis-28381	49	31	of	of	ADP
bracis-28381	49	32	0.42	0.42	NUM
bracis-28381	49	33	and	and	CCONJ
bracis-28381	49	34	a	a	DET
bracis-28381	49	35	mape	mape	NOUN
bracis-28381	49	36	of	of	ADP
bracis-28381	49	37	0.77	0.77	NUM
bracis-28381	49	38	%	%	NOUN
bracis-28381	49	39	in	in	ADP
bracis-28381	49	40	the	the	DET
bracis-28381	49	41	best	good	ADJ
bracis-28381	49	42	result	result	NOUN
bracis-28381	49	43	.	.	PUNCT
bracis-28381	50	1	in	in	ADP
bracis-28381	50	2	addition	addition	NOUN
bracis-28381	50	3	to	to	ADP
bracis-28381	50	4	predicting	predict	VERB
bracis-28381	50	5	stock	stock	NOUN
bracis-28381	50	6	prices	price	NOUN
bracis-28381	50	7	,	,	PUNCT
bracis-28381	50	8	models	model	NOUN
bracis-28381	50	9	can	can	AUX
bracis-28381	50	10	be	be	AUX
bracis-28381	50	11	built	build	VERB
bracis-28381	50	12	to	to	PART
bracis-28381	50	13	determine	determine	VERB
bracis-28381	50	14	when	when	SCONJ
bracis-28381	50	15	to	to	PART
bracis-28381	50	16	buy	buy	VERB
bracis-28381	50	17	or	or	CCONJ
bracis-28381	50	18	sell	sell	VERB
bracis-28381	50	19	stocks	stock	NOUN
bracis-28381	50	20	,	,	PUNCT
bracis-28381	50	21	as	as	SCONJ
bracis-28381	50	22	demonstrated	demonstrate	VERB
bracis-28381	50	23	by	by	ADP
bracis-28381	50	24	santuci	santuci	PROPN
bracis-28381	50	25	et	et	PROPN
bracis-28381	50	26	al	al	PROPN
bracis-28381	50	27	.	.	PUNCT
bracis-28381	51	1	[	[	X
bracis-28381	51	2	20	20	NUM
bracis-28381	51	3	]	]	PUNCT
bracis-28381	51	4	,	,	PUNCT
bracis-28381	51	5	who	who	PRON
bracis-28381	51	6	compared	compare	VERB
bracis-28381	51	7	svm	svm	PROPN
bracis-28381	51	8	and	and	CCONJ
bracis-28381	51	9	random	random	ADJ
bracis-28381	51	10	forest	forest	NOUN
bracis-28381	51	11	models	model	NOUN
bracis-28381	51	12	to	to	PART
bracis-28381	51	13	predict	predict	VERB
bracis-28381	51	14	such	such	ADJ
bracis-28381	51	15	events	event	NOUN
bracis-28381	51	16	.	.	PUNCT
bracis-28381	52	1	in	in	ADP
bracis-28381	52	2	the	the	DET
bracis-28381	52	3	best	good	ADJ
bracis-28381	52	4	case	case	NOUN
bracis-28381	52	5	,	,	PUNCT
bracis-28381	52	6	their	their	PRON
bracis-28381	52	7	work	work	NOUN
bracis-28381	52	8	yielded	yield	VERB
bracis-28381	52	9	a	a	DET
bracis-28381	52	10	profit	profit	NOUN
bracis-28381	52	11	of	of	ADP
bracis-28381	52	12	17.74	17.74	NUM
bracis-28381	52	13	%	%	NOUN
bracis-28381	52	14	.	.	PUNCT
bracis-28381	53	1	another	another	DET
bracis-28381	53	2	internal	internal	ADJ
bracis-28381	53	3	topic	topic	NOUN
bracis-28381	53	4	for	for	ADP
bracis-28381	53	5	discussion	discussion	NOUN
bracis-28381	53	6	is	be	AUX
bracis-28381	53	7	the	the	DET
bracis-28381	53	8	accuracy	accuracy	NOUN
bracis-28381	53	9	of	of	ADP
bracis-28381	53	10	different	different	ADJ
bracis-28381	53	11	models	model	NOUN
bracis-28381	53	12	in	in	ADP
bracis-28381	53	13	predicting	predict	VERB
bracis-28381	53	14	stock	stock	NOUN
bracis-28381	53	15	prices	price	NOUN
bracis-28381	53	16	,	,	PUNCT
bracis-28381	53	17	which	which	PRON
bracis-28381	53	18	is	be	AUX
bracis-28381	53	19	demonstrated	demonstrate	VERB
bracis-28381	53	20	by	by	ADP
bracis-28381	53	21	huang	huang	PROPN
bracis-28381	53	22	et	et	PROPN
bracis-28381	53	23	al	al	PROPN
bracis-28381	53	24	.	.	PUNCT
bracis-28381	54	1	[	[	X
bracis-28381	54	2	10	10	NUM
bracis-28381	54	3	]	]	PUNCT
bracis-28381	54	4	using	use	VERB
bracis-28381	54	5	two	two	NUM
bracis-28381	54	6	models	model	NOUN
bracis-28381	54	7	:	:	PUNCT
bracis-28381	54	8	feed	feed	NOUN
bracis-28381	54	9	-	-	PUNCT
bracis-28381	54	10	forward	forward	ADV
bracis-28381	54	11	neural	neural	ADJ
bracis-28381	54	12	network	network	NOUN
bracis-28381	54	13	and	and	CCONJ
bracis-28381	54	14	adaptive	adaptive	ADJ
bracis-28381	54	15	neural	neural	ADJ
bracis-28381	54	16	fuzzy	fuzzy	ADJ
bracis-28381	54	17	inference	inference	NOUN
bracis-28381	54	18	system	system	NOUN
bracis-28381	54	19	.	.	PUNCT
bracis-28381	55	1	pang	pang	NOUN
bracis-28381	55	2	et	et	PROPN
bracis-28381	55	3	al	al	PROPN
bracis-28381	55	4	.	.	PUNCT
bracis-28381	56	1	[	[	X
bracis-28381	56	2	18	18	NUM
bracis-28381	56	3	]	]	PUNCT
bracis-28381	56	4	used	use	VERB
bracis-28381	56	5	two	two	NUM
bracis-28381	56	6	different	different	ADJ
bracis-28381	56	7	types	type	NOUN
bracis-28381	56	8	of	of	ADP
bracis-28381	56	9	lstm	lstm	NOUN
bracis-28381	56	10	to	to	PART
bracis-28381	56	11	make	make	VERB
bracis-28381	56	12	predictions	prediction	NOUN
bracis-28381	56	13	based	base	VERB
bracis-28381	56	14	on	on	ADP
bracis-28381	56	15	shanghai	shanghai	PROPN
bracis-28381	56	16	a	a	DET
bracis-28381	56	17	-	-	PUNCT
bracis-28381	56	18	share	share	NOUN
bracis-28381	56	19	data	datum	NOUN
bracis-28381	56	20	,	,	PUNCT
bracis-28381	56	21	achieving	achieve	VERB
bracis-28381	56	22	an	an	DET
bracis-28381	56	23	mse	mse	NOUN
bracis-28381	56	24	of	of	ADP
bracis-28381	56	25	0.017	0.017	NUM
bracis-28381	56	26	in	in	ADP
bracis-28381	56	27	the	the	DET
bracis-28381	56	28	best	good	ADJ
bracis-28381	56	29	test	test	NOUN
bracis-28381	56	30	.	.	PUNCT
bracis-28381	57	1	many	many	ADJ
bracis-28381	57	2	external	external	ADJ
bracis-28381	57	3	factors	factor	NOUN
bracis-28381	57	4	can	can	AUX
bracis-28381	57	5	influence	influence	VERB
bracis-28381	57	6	the	the	DET
bracis-28381	57	7	stock	stock	NOUN
bracis-28381	57	8	price	price	NOUN
bracis-28381	57	9	,	,	PUNCT
bracis-28381	57	10	and	and	CCONJ
bracis-28381	57	11	jin	jin	NOUN
bracis-28381	57	12	et	et	PROPN
bracis-28381	57	13	al	al	PROPN
bracis-28381	57	14	.	.	PUNCT
bracis-28381	58	1	[	[	X
bracis-28381	58	2	13	13	NUM
bracis-28381	58	3	]	]	PUNCT
bracis-28381	58	4	utilized	utilize	VERB
bracis-28381	58	5	an	an	DET
bracis-28381	58	6	external	external	ADJ
bracis-28381	58	7	indicator	indicator	NOUN
bracis-28381	58	8	called	call	VERB
bracis-28381	58	9	sentiment	sentiment	NOUN
bracis-28381	58	10	to	to	PART
bracis-28381	58	11	indicate	indicate	VERB
bracis-28381	58	12	how	how	SCONJ
bracis-28381	58	13	investors	investor	NOUN
bracis-28381	58	14	feel	feel	VERB
bracis-28381	58	15	about	about	ADP
bracis-28381	58	16	the	the	DET
bracis-28381	58	17	economy	economy	NOUN
bracis-28381	58	18	or	or	CCONJ
bracis-28381	58	19	a	a	DET
bracis-28381	58	20	specific	specific	ADJ
bracis-28381	58	21	stock	stock	NOUN
bracis-28381	58	22	.	.	PUNCT
bracis-28381	59	1	das	das	PROPN
bracis-28381	59	2	et	et	PROPN
bracis-28381	59	3	al	al	PROPN
bracis-28381	59	4	.	.	PUNCT
bracis-28381	60	1	[	[	X
bracis-28381	60	2	4	4	X
bracis-28381	60	3	]	]	PUNCT
bracis-28381	60	4	also	also	ADV
bracis-28381	60	5	used	use	VERB
bracis-28381	60	6	sentiment	sentiment	NOUN
bracis-28381	60	7	data	datum	NOUN
bracis-28381	60	8	extracted	extract	VERB
bracis-28381	60	9	from	from	ADP
bracis-28381	60	10	tweets	tweet	NOUN
bracis-28381	60	11	on	on	ADP
bracis-28381	60	12	twitter	twitter	NOUN
bracis-28381	60	13	to	to	PART
bracis-28381	60	14	predict	predict	VERB
bracis-28381	60	15	stock	stock	NOUN
bracis-28381	60	16	prices	price	NOUN
bracis-28381	60	17	.	.	PUNCT
bracis-28381	61	1	these	these	DET
bracis-28381	61	2	papers	paper	NOUN
bracis-28381	61	3	show	show	VERB
bracis-28381	61	4	that	that	SCONJ
bracis-28381	61	5	the	the	DET
bracis-28381	61	6	market	market	NOUN
bracis-28381	61	7	responds	respond	VERB
bracis-28381	61	8	to	to	ADP
bracis-28381	61	9	people	people	NOUN
bracis-28381	61	10	’s	’s	PART
bracis-28381	61	11	actions	action	NOUN
bracis-28381	61	12	,	,	PUNCT
bracis-28381	61	13	and	and	CCONJ
bracis-28381	61	14	using	use	VERB
bracis-28381	61	15	this	this	DET
bracis-28381	61	16	information	information	NOUN
bracis-28381	61	17	can	can	AUX
bracis-28381	61	18	better	well	ADV
bracis-28381	61	19	represent	represent	VERB
bracis-28381	61	20	the	the	DET
bracis-28381	61	21	market	market	NOUN
bracis-28381	61	22	than	than	ADP
bracis-28381	61	23	numbers	number	NOUN
bracis-28381	61	24	.	.	PUNCT
bracis-28381	62	1	agrawal	agrawal	PROPN
bracis-28381	62	2	et	et	PROPN
bracis-28381	62	3	al	al	PROPN
bracis-28381	62	4	.	.	PUNCT
bracis-28381	63	1	[	[	X
bracis-28381	63	2	1	1	NUM
bracis-28381	63	3	]	]	PUNCT
bracis-28381	63	4	utilized	utilize	VERB
bracis-28381	63	5	stock	stock	NOUN
bracis-28381	63	6	technical	technical	ADJ
bracis-28381	63	7	indicators	indicator	NOUN
bracis-28381	63	8	to	to	PART
bracis-28381	63	9	predict	predict	VERB
bracis-28381	63	10	not	not	PART
bracis-28381	63	11	the	the	DET
bracis-28381	63	12	stock	stock	NOUN
bracis-28381	63	13	price	price	NOUN
bracis-28381	63	14	but	but	CCONJ
bracis-28381	63	15	the	the	DET
bracis-28381	63	16	trend	trend	NOUN
bracis-28381	63	17	of	of	ADP
bracis-28381	63	18	the	the	DET
bracis-28381	63	19	price	price	NOUN
bracis-28381	63	20	,	,	PUNCT
bracis-28381	63	21	i.e.	i.e.	X
bracis-28381	63	22	,	,	PUNCT
bracis-28381	63	23	whether	whether	SCONJ
bracis-28381	63	24	the	the	DET
bracis-28381	63	25	price	price	NOUN
bracis-28381	63	26	will	will	AUX
bracis-28381	63	27	increase	increase	VERB
bracis-28381	63	28	or	or	CCONJ
bracis-28381	63	29	decrease	decrease	VERB
bracis-28381	63	30	.	.	PUNCT
bracis-28381	64	1	their	their	PRON
bracis-28381	64	2	work	work	NOUN
bracis-28381	64	3	achieved	achieve	VERB
bracis-28381	64	4	an	an	DET
bracis-28381	64	5	accuracy	accuracy	NOUN
bracis-28381	64	6	of	of	ADP
bracis-28381	64	7	63.59	63.59	NUM
bracis-28381	64	8	%	%	NOUN
bracis-28381	64	9	in	in	ADP
bracis-28381	64	10	the	the	DET
bracis-28381	64	11	best	good	ADJ
bracis-28381	64	12	case	case	NOUN
bracis-28381	64	13	.	.	PUNCT
bracis-28381	65	1	despite	despite	SCONJ
bracis-28381	65	2	the	the	DET
bracis-28381	65	3	works	work	NOUN
bracis-28381	65	4	presented	present	VERB
bracis-28381	65	5	in	in	ADP
bracis-28381	65	6	this	this	DET
bracis-28381	65	7	section	section	NOUN
bracis-28381	65	8	using	use	VERB
bracis-28381	65	9	different	different	ADJ
bracis-28381	65	10	datasets	dataset	NOUN
bracis-28381	65	11	,	,	PUNCT
bracis-28381	65	12	the	the	DET
bracis-28381	65	13	objective	objective	NOUN
bracis-28381	65	14	is	be	AUX
bracis-28381	65	15	stock	stock	NOUN
bracis-28381	65	16	price	price	NOUN
bracis-28381	65	17	prediction	prediction	NOUN
bracis-28381	65	18	.	.	PUNCT
bracis-28381	66	1	these	these	DET
bracis-28381	66	2	works	work	NOUN
bracis-28381	66	3	were	be	AUX
bracis-28381	66	4	selected	select	VERB
bracis-28381	66	5	due	due	ADP
bracis-28381	66	6	to	to	ADP
bracis-28381	66	7	the	the	DET
bracis-28381	66	8	made	make	VERB
bracis-28381	66	9	of	of	ADP
bracis-28381	66	10	traditional	traditional	ADJ
bracis-28381	66	11	machine	machine	NOUN
bracis-28381	66	12	learning	learning	NOUN
bracis-28381	66	13	and	and	CCONJ
bracis-28381	66	14	different	different	ADJ
bracis-28381	66	15	neural	neural	ADJ
bracis-28381	66	16	network	network	NOUN
bracis-28381	66	17	architectures	architecture	NOUN
bracis-28381	66	18	applied	apply	VERB
bracis-28381	66	19	to	to	ADP
bracis-28381	66	20	the	the	DET
bracis-28381	66	21	stock	stock	NOUN
bracis-28381	66	22	price	price	NOUN
bracis-28381	66	23	prediction	prediction	NOUN
bracis-28381	66	24	context	context	NOUN
bracis-28381	66	25	.	.	PUNCT
bracis-28381	67	1	3	3	NUM
bracis-28381	67	2	proposed	propose	VERB
bracis-28381	67	3	methodology	methodology	NOUN
bracis-28381	67	4	s	s	VERB
bracis-28381	67	5	this	this	DET
bracis-28381	67	6	section	section	NOUN
bracis-28381	67	7	shows	show	VERB
bracis-28381	67	8	how	how	SCONJ
bracis-28381	67	9	the	the	DET
bracis-28381	67	10	research	research	NOUN
bracis-28381	67	11	was	be	AUX
bracis-28381	67	12	driven	drive	VERB
bracis-28381	67	13	and	and	CCONJ
bracis-28381	67	14	the	the	DET
bracis-28381	67	15	specific	specific	ADJ
bracis-28381	67	16	models	model	NOUN
bracis-28381	67	17	definition	definition	NOUN
bracis-28381	67	18	.	.	PUNCT
bracis-28381	68	1	subsection	subsection	NOUN
bracis-28381	68	2	 	 	SPACE
bracis-28381	68	3	3.1	3.1	NUM
bracis-28381	68	4	describes	describe	VERB
bracis-28381	68	5	the	the	DET
bracis-28381	68	6	data	datum	NOUN
bracis-28381	68	7	used	use	VERB
bracis-28381	68	8	and	and	CCONJ
bracis-28381	68	9	how	how	SCONJ
bracis-28381	68	10	it	it	PRON
bracis-28381	68	11	was	be	AUX
bracis-28381	68	12	collected	collect	VERB
bracis-28381	68	13	.	.	PUNCT
bracis-28381	69	1	subsection	subsection	NOUN
bracis-28381	69	2	 	 	SPACE
bracis-28381	69	3	3.2	3.2	NUM
bracis-28381	69	4	explains	explain	VERB
bracis-28381	69	5	the	the	DET
bracis-28381	69	6	baseline	baseline	NOUN
bracis-28381	69	7	technique	technique	NOUN
bracis-28381	69	8	used	use	VERB
bracis-28381	69	9	for	for	ADP
bracis-28381	69	10	comparison	comparison	NOUN
bracis-28381	69	11	purposes	purpose	NOUN
bracis-28381	69	12	and	and	CCONJ
bracis-28381	69	13	also	also	ADV
bracis-28381	69	14	the	the	DET
bracis-28381	69	15	proposed	propose	VERB
bracis-28381	69	16	architecture	architecture	NOUN
bracis-28381	69	17	,	,	PUNCT
bracis-28381	69	18	combining	combine	VERB
bracis-28381	69	19	deep	deep	ADJ
bracis-28381	69	20	learning	learning	NOUN
bracis-28381	69	21	architectures	architecture	NOUN
bracis-28381	69	22	.	.	PUNCT
bracis-28381	70	1	the	the	DET
bracis-28381	70	2	metrics	metric	NOUN
bracis-28381	70	3	used	use	VERB
bracis-28381	70	4	to	to	PART
bracis-28381	70	5	evaluate	evaluate	VERB
bracis-28381	70	6	the	the	DET
bracis-28381	70	7	proposed	propose	VERB
bracis-28381	70	8	approaches	approach	NOUN
bracis-28381	70	9	are	be	AUX
bracis-28381	70	10	described	describe	VERB
bracis-28381	70	11	in	in	ADP
bracis-28381	70	12	subsect	subsect	NOUN
bracis-28381	70	13	.	.	PUNCT
bracis-28381	70	14	 	 	SPACE
bracis-28381	71	1	3.3	3.3	NUM
bracis-28381	71	2	.	.	PUNCT
bracis-28381	72	1	3.1	3.1	NUM
bracis-28381	72	2	dataset	dataset	VERB
bracis-28381	72	3	the	the	DET
bracis-28381	72	4	first	first	ADJ
bracis-28381	72	5	step	step	NOUN
bracis-28381	72	6	is	be	AUX
bracis-28381	72	7	data	data	NOUN
bracis-28381	72	8	collection	collection	NOUN
bracis-28381	72	9	by	by	ADP
bracis-28381	72	10	downloading	download	VERB
bracis-28381	72	11	the	the	DET
bracis-28381	72	12	stock	stock	NOUN
bracis-28381	72	13	information	information	NOUN
bracis-28381	72	14	from	from	ADP
bracis-28381	72	15	the	the	DET
bracis-28381	72	16	website	website	NOUN
bracis-28381	72	17	infomoney.com	infomoney.com	X
bracis-28381	72	18	.	.	PUNCT
bracis-28381	73	1	the	the	DET
bracis-28381	73	2	collected	collect	VERB
bracis-28381	73	3	raw	raw	ADJ
bracis-28381	73	4	data	data	NOUN
bracis-28381	73	5	contains	contain	VERB
bracis-28381	73	6	:	:	PUNCT
bracis-28381	73	7	date	date	NOUN
bracis-28381	73	8	:	:	PUNCT
bracis-28381	73	9	the	the	DET
bracis-28381	73	10	days	day	NOUN
bracis-28381	73	11	to	to	PART
bracis-28381	73	12	which	which	PRON
bracis-28381	73	13	data	datum	NOUN
bracis-28381	73	14	refer	refer	VERB
bracis-28381	73	15	.	.	PUNCT
bracis-28381	74	1	this	this	DET
bracis-28381	74	2	data	data	NOUN
bracis-28381	74	3	is	be	AUX
bracis-28381	74	4	a	a	DET
bracis-28381	74	5	string	string	NOUN
bracis-28381	74	6	with	with	ADP
bracis-28381	74	7	the	the	DET
bracis-28381	74	8	month	month	NOUN
bracis-28381	74	9	with	with	ADP
bracis-28381	74	10	three	three	NUM
bracis-28381	74	11	letters	letter	NOUN
bracis-28381	74	12	,	,	PUNCT
bracis-28381	74	13	followed	follow	VERB
bracis-28381	74	14	by	by	ADP
bracis-28381	74	15	the	the	DET
bracis-28381	74	16	day	day	NOUN
bracis-28381	74	17	and	and	CCONJ
bracis-28381	74	18	year	year	NOUN
bracis-28381	74	19	.	.	PUNCT
bracis-28381	75	1	high	high	ADV
bracis-28381	75	2	:	:	PUNCT
bracis-28381	75	3	the	the	DET
bracis-28381	75	4	highest	high	ADJ
bracis-28381	75	5	share	share	NOUN
bracis-28381	75	6	price	price	NOUN
bracis-28381	75	7	on	on	ADP
bracis-28381	75	8	a	a	DET
bracis-28381	75	9	specific	specific	ADJ
bracis-28381	75	10	day	day	NOUN
bracis-28381	75	11	.	.	PUNCT
bracis-28381	76	1	this	this	DET
bracis-28381	76	2	data	data	NOUN
bracis-28381	76	3	is	be	AUX
bracis-28381	76	4	a	a	DET
bracis-28381	76	5	float	float	ADJ
bracis-28381	76	6	number	number	NOUN
bracis-28381	76	7	.	.	PUNCT
bracis-28381	77	1	close	close	ADV
bracis-28381	77	2	:	:	PUNCT
bracis-28381	77	3	the	the	DET
bracis-28381	77	4	share	share	NOUN
bracis-28381	77	5	price	price	NOUN
bracis-28381	77	6	when	when	SCONJ
bracis-28381	77	7	the	the	DET
bracis-28381	77	8	stock	stock	NOUN
bracis-28381	77	9	market	market	NOUN
bracis-28381	77	10	closes	close	VERB
bracis-28381	77	11	on	on	ADP
bracis-28381	77	12	a	a	DET
bracis-28381	77	13	specific	specific	ADJ
bracis-28381	77	14	day	day	NOUN
bracis-28381	77	15	.	.	PUNCT
bracis-28381	78	1	this	this	DET
bracis-28381	78	2	data	data	NOUN
bracis-28381	78	3	is	be	AUX
bracis-28381	78	4	a	a	DET
bracis-28381	78	5	float	float	ADJ
bracis-28381	78	6	number	number	NOUN
bracis-28381	78	7	too	too	ADV
bracis-28381	78	8	.	.	PUNCT
bracis-28381	79	1	open	open	ADJ
bracis-28381	79	2	:	:	PUNCT
bracis-28381	79	3	the	the	DET
bracis-28381	79	4	share	share	NOUN
bracis-28381	79	5	price	price	NOUN
bracis-28381	79	6	when	when	SCONJ
bracis-28381	79	7	the	the	DET
bracis-28381	79	8	stock	stock	NOUN
bracis-28381	79	9	market	market	NOUN
bracis-28381	79	10	opens	open	VERB
bracis-28381	79	11	on	on	ADP
bracis-28381	79	12	a	a	DET
bracis-28381	79	13	specific	specific	ADJ
bracis-28381	79	14	day	day	NOUN
bracis-28381	79	15	.	.	PUNCT
bracis-28381	80	1	this	this	PRON
bracis-28381	80	2	also	also	ADV
bracis-28381	80	3	is	be	AUX
bracis-28381	80	4	a	a	DET
bracis-28381	80	5	float	float	ADJ
bracis-28381	80	6	number	number	NOUN
bracis-28381	80	7	.	.	PUNCT
bracis-28381	81	1	low	low	ADJ
bracis-28381	81	2	:	:	PUNCT
bracis-28381	81	3	the	the	DET
bracis-28381	81	4	lowest	low	ADJ
bracis-28381	81	5	share	share	NOUN
bracis-28381	81	6	price	price	NOUN
bracis-28381	81	7	on	on	ADP
bracis-28381	81	8	a	a	DET
bracis-28381	81	9	specific	specific	ADJ
bracis-28381	81	10	day	day	NOUN
bracis-28381	81	11	.	.	PUNCT
bracis-28381	82	1	and	and	CCONJ
bracis-28381	82	2	this	this	PRON
bracis-28381	82	3	is	be	AUX
bracis-28381	82	4	a	a	DET
bracis-28381	82	5	float	float	ADJ
bracis-28381	82	6	number	number	NOUN
bracis-28381	82	7	.	.	PUNCT
bracis-28381	83	1	volume	volume	NOUN
bracis-28381	83	2	:	:	PUNCT
bracis-28381	83	3	the	the	DET
bracis-28381	83	4	number	number	NOUN
bracis-28381	83	5	of	of	ADP
bracis-28381	83	6	transactions	transaction	NOUN
bracis-28381	83	7	that	that	PRON
bracis-28381	83	8	happen	happen	VERB
bracis-28381	83	9	on	on	ADP
bracis-28381	83	10	that	that	DET
bracis-28381	83	11	day	day	NOUN
bracis-28381	83	12	.	.	PUNCT
bracis-28381	84	1	this	this	DET
bracis-28381	84	2	data	data	NOUN
bracis-28381	84	3	is	be	AUX
bracis-28381	84	4	a	a	DET
bracis-28381	84	5	integer	integer	NOUN
bracis-28381	84	6	number	number	NOUN
bracis-28381	84	7	,	,	PUNCT
bracis-28381	84	8	but	but	CCONJ
bracis-28381	84	9	in	in	ADP
bracis-28381	84	10	the	the	DET
bracis-28381	84	11	case	case	NOUN
bracis-28381	84	12	of	of	ADP
bracis-28381	84	13	a	a	DET
bracis-28381	84	14	thousand	thousand	NUM
bracis-28381	84	15	volumes	volume	NOUN
bracis-28381	84	16	,	,	PUNCT
bracis-28381	84	17	it	it	PRON
bracis-28381	84	18	is	be	AUX
bracis-28381	84	19	represented	represent	VERB
bracis-28381	84	20	with	with	ADP
bracis-28381	84	21	the	the	DET
bracis-28381	84	22	number	number	NOUN
bracis-28381	84	23	divided	divide	VERB
bracis-28381	84	24	by	by	ADP
bracis-28381	84	25	1000	1000	NUM
bracis-28381	84	26	followed	follow	VERB
bracis-28381	84	27	by	by	ADP
bracis-28381	84	28	a	a	DET
bracis-28381	84	29	letter	letter	NOUN
bracis-28381	84	30	“	"	PUNCT
bracis-28381	84	31	k	k	NOUN
bracis-28381	84	32	”	"	PUNCT
bracis-28381	84	33	.	.	PUNCT
bracis-28381	85	1	and	and	CCONJ
bracis-28381	85	2	if	if	SCONJ
bracis-28381	85	3	is	be	AUX
bracis-28381	85	4	a	a	DET
bracis-28381	85	5	million	million	NUM
bracis-28381	85	6	or	or	CCONJ
bracis-28381	85	7	more	more	ADJ
bracis-28381	85	8	the	the	DET
bracis-28381	85	9	number	number	NOUN
bracis-28381	85	10	is	be	AUX
bracis-28381	85	11	divided	divide	VERB
bracis-28381	85	12	by	by	ADP
bracis-28381	85	13	one	one	NUM
bracis-28381	85	14	million	million	NUM
bracis-28381	85	15	and	and	CCONJ
bracis-28381	85	16	followed	follow	VERB
bracis-28381	85	17	by	by	ADP
bracis-28381	85	18	the	the	DET
bracis-28381	85	19	letter	letter	NOUN
bracis-28381	85	20	“	"	PUNCT
bracis-28381	85	21	m	m	NOUN
bracis-28381	85	22	”	"	PUNCT
bracis-28381	85	23	.	.	PUNCT
bracis-28381	86	1	change	change	NOUN
bracis-28381	86	2	:	:	PUNCT
bracis-28381	86	3	the	the	DET
bracis-28381	86	4	difference	difference	NOUN
bracis-28381	86	5	in	in	ADP
bracis-28381	86	6	price	price	NOUN
bracis-28381	86	7	,	,	PUNCT
bracis-28381	86	8	in	in	ADP
bracis-28381	86	9	percentage	percentage	NOUN
bracis-28381	86	10	,	,	PUNCT
bracis-28381	86	11	that	that	PRON
bracis-28381	86	12	happens	happen	VERB
bracis-28381	86	13	on	on	ADP
bracis-28381	86	14	a	a	DET
bracis-28381	86	15	specific	specific	ADJ
bracis-28381	86	16	day	day	NOUN
bracis-28381	86	17	.	.	PUNCT
bracis-28381	87	1	this	this	DET
bracis-28381	87	2	data	datum	NOUN
bracis-28381	87	3	was	be	AUX
bracis-28381	87	4	n’t	not	PART
bracis-28381	87	5	used	use	VERB
bracis-28381	87	6	in	in	ADP
bracis-28381	87	7	the	the	DET
bracis-28381	87	8	model	model	NOUN
bracis-28381	87	9	but	but	CCONJ
bracis-28381	87	10	is	be	AUX
bracis-28381	87	11	presented	present	VERB
bracis-28381	87	12	because	because	SCONJ
bracis-28381	87	13	it	it	PRON
bracis-28381	87	14	was	be	AUX
bracis-28381	87	15	collected	collect	VERB
bracis-28381	87	16	along	along	ADP
bracis-28381	87	17	with	with	ADP
bracis-28381	87	18	others	other	NOUN
bracis-28381	87	19	.	.	PUNCT
bracis-28381	88	1	this	this	DET
bracis-28381	88	2	data	data	NOUN
bracis-28381	88	3	is	be	AUX
bracis-28381	88	4	a	a	DET
bracis-28381	88	5	time	time	NOUN
bracis-28381	88	6	series	series	NOUN
bracis-28381	88	7	,	,	PUNCT
bracis-28381	88	8	so	so	SCONJ
bracis-28381	88	9	the	the	DET
bracis-28381	88	10	previous	previous	ADJ
bracis-28381	88	11	samples	sample	NOUN
bracis-28381	88	12	directly	directly	ADV
bracis-28381	88	13	influence	influence	VERB
bracis-28381	88	14	the	the	DET
bracis-28381	88	15	following	follow	VERB
bracis-28381	88	16	sample	sample	NOUN
bracis-28381	88	17	.	.	PUNCT
bracis-28381	89	1	the	the	DET
bracis-28381	89	2	close	close	ADJ
bracis-28381	89	3	price	price	NOUN
bracis-28381	89	4	rarely	rarely	ADV
bracis-28381	89	5	moves	move	VERB
bracis-28381	89	6	from	from	ADP
bracis-28381	89	7	a	a	DET
bracis-28381	89	8	low	low	ADJ
bracis-28381	89	9	value	value	NOUN
bracis-28381	89	10	to	to	ADP
bracis-28381	89	11	a	a	DET
bracis-28381	89	12	high	high	ADJ
bracis-28381	89	13	value	value	NOUN
bracis-28381	89	14	(	(	PUNCT
bracis-28381	89	15	or	or	CCONJ
bracis-28381	89	16	vice	vice	NOUN
bracis-28381	89	17	versa	versa	ADV
bracis-28381	89	18	)	)	PUNCT
bracis-28381	89	19	without	without	ADP
bracis-28381	89	20	the	the	DET
bracis-28381	89	21	other	other	ADJ
bracis-28381	89	22	data	datum	NOUN
bracis-28381	89	23	that	that	PRON
bracis-28381	89	24	has	have	AUX
bracis-28381	89	25	changed	change	VERB
bracis-28381	89	26	drastically	drastically	ADV
bracis-28381	89	27	.	.	PUNCT
bracis-28381	90	1	based	base	VERB
bracis-28381	90	2	on	on	ADP
bracis-28381	90	3	hiransha	hiransha	PROPN
bracis-28381	90	4	et	et	PROPN
bracis-28381	90	5	al	al	PROPN
bracis-28381	90	6	.	.	PUNCT
bracis-28381	90	7	 	 	SPACE
bracis-28381	91	1	[	[	X
bracis-28381	91	2	9	9	NUM
bracis-28381	91	3	]	]	PUNCT
bracis-28381	91	4	,	,	PUNCT
bracis-28381	91	5	we	we	PRON
bracis-28381	91	6	chose	choose	VERB
bracis-28381	91	7	tata	tata	PROPN
bracis-28381	91	8	motors	motors	PROPN
bracis-28381	91	9	ltd	ltd	PROPN
bracis-28381	91	10	.	.	PROPN
bracis-28381	92	1	(	(	PUNCT
bracis-28381	92	2	which	which	PRON
bracis-28381	92	3	uses	use	VERB
bracis-28381	92	4	the	the	DET
bracis-28381	92	5	token	token	ADJ
bracis-28381	92	6	tamo	tamo	PROPN
bracis-28381	92	7	)	)	PUNCT
bracis-28381	92	8	stock	stock	NOUN
bracis-28381	92	9	as	as	ADP
bracis-28381	92	10	training	training	NOUN
bracis-28381	92	11	data	datum	NOUN
bracis-28381	92	12	and	and	CCONJ
bracis-28381	92	13	used	use	VERB
bracis-28381	92	14	axis	axis	NOUN
bracis-28381	92	15	bank	bank	NOUN
bracis-28381	92	16	(	(	PUNCT
bracis-28381	92	17	axbk	axbk	ADV
bracis-28381	92	18	)	)	PUNCT
bracis-28381	92	19	,	,	PUNCT
bracis-28381	92	20	maruti	maruti	PROPN
bracis-28381	92	21	(	(	PUNCT
bracis-28381	92	22	mrti	mrti	PROPN
bracis-28381	92	23	)	)	PUNCT
bracis-28381	92	24	,	,	PUNCT
bracis-28381	92	25	and	and	CCONJ
bracis-28381	92	26	hcl	hcl	PROPN
bracis-28381	92	27	(	(	PUNCT
bracis-28381	92	28	hclt	hclt	PROPN
bracis-28381	92	29	)	)	PUNCT
bracis-28381	92	30	as	as	ADP
bracis-28381	92	31	testing	testing	NOUN
bracis-28381	92	32	and	and	CCONJ
bracis-28381	92	33	the	the	DET
bracis-28381	92	34	close	close	ADJ
bracis-28381	92	35	price	price	NOUN
bracis-28381	92	36	as	as	SCONJ
bracis-28381	92	37	to	to	PART
bracis-28381	92	38	be	be	AUX
bracis-28381	92	39	predicted	predict	VERB
bracis-28381	92	40	.	.	PUNCT
bracis-28381	93	1	table	table	NOUN
bracis-28381	93	2	 	 	SPACE
bracis-28381	93	3	1	1	NUM
bracis-28381	93	4	shows	show	VERB
bracis-28381	93	5	the	the	DET
bracis-28381	93	6	datasets	dataset	NOUN
bracis-28381	93	7	used	use	VERB
bracis-28381	93	8	in	in	ADP
bracis-28381	93	9	this	this	DET
bracis-28381	93	10	work	work	NOUN
bracis-28381	93	11	and	and	CCONJ
bracis-28381	93	12	the	the	DET
bracis-28381	93	13	period	period	NOUN
bracis-28381	93	14	collected	collect	VERB
bracis-28381	93	15	.	.	PUNCT
bracis-28381	94	1	the	the	DET
bracis-28381	94	2	data	datum	NOUN
bracis-28381	94	3	was	be	AUX
bracis-28381	94	4	collected	collect	VERB
bracis-28381	94	5	respecting	respect	VERB
bracis-28381	94	6	the	the	DET
bracis-28381	94	7	date	date	NOUN
bracis-28381	94	8	range	range	NOUN
bracis-28381	94	9	used	use	VERB
bracis-28381	94	10	in	in	ADP
bracis-28381	94	11	 	 	SPACE
bracis-28381	94	12	[	[	X
bracis-28381	94	13	9	9	NUM
bracis-28381	94	14	]	]	PUNCT
bracis-28381	94	15	in	in	ADP
bracis-28381	94	16	order	order	NOUN
bracis-28381	94	17	to	to	PART
bracis-28381	94	18	directly	directly	ADV
bracis-28381	94	19	compare	compare	VERB
bracis-28381	94	20	the	the	DET
bracis-28381	94	21	results	result	NOUN
bracis-28381	94	22	.	.	PUNCT
bracis-28381	95	1	table	table	NOUN
bracis-28381	95	2	1	1	NUM
bracis-28381	95	3	.	.	PUNCT
bracis-28381	96	1	data	datum	NOUN
bracis-28381	96	2	collected	collect	VERB
bracis-28381	96	3	of	of	ADP
bracis-28381	96	4	the	the	DET
bracis-28381	96	5	stocks.full	stocks.full	NOUN
bracis-28381	96	6	size	size	NOUN
bracis-28381	96	7	table	table	NOUN
bracis-28381	96	8	the	the	DET
bracis-28381	96	9	second	second	ADJ
bracis-28381	96	10	step	step	NOUN
bracis-28381	96	11	consists	consist	VERB
bracis-28381	96	12	of	of	ADP
bracis-28381	96	13	preprocessing	preprocesse	VERB
bracis-28381	96	14	and	and	CCONJ
bracis-28381	96	15	cleaning	clean	VERB
bracis-28381	96	16	the	the	DET
bracis-28381	96	17	data	datum	NOUN
bracis-28381	96	18	due	due	ADP
bracis-28381	96	19	to	to	ADP
bracis-28381	96	20	the	the	DET
bracis-28381	96	21	nature	nature	NOUN
bracis-28381	96	22	of	of	ADP
bracis-28381	96	23	the	the	DET
bracis-28381	96	24	raw	raw	ADJ
bracis-28381	96	25	data	datum	NOUN
bracis-28381	96	26	being	be	AUX
bracis-28381	96	27	different	different	ADJ
bracis-28381	96	28	from	from	ADP
bracis-28381	96	29	the	the	DET
bracis-28381	96	30	one	one	NOUN
bracis-28381	96	31	requested	request	VERB
bracis-28381	96	32	by	by	ADP
bracis-28381	96	33	a	a	DET
bracis-28381	96	34	machine	machine	NOUN
bracis-28381	96	35	learning	learn	VERB
bracis-28381	96	36	model	model	NOUN
bracis-28381	96	37	.	.	PUNCT
bracis-28381	97	1	the	the	DET
bracis-28381	97	2	objective	objective	NOUN
bracis-28381	97	3	is	be	AUX
bracis-28381	97	4	to	to	PART
bracis-28381	97	5	delete	delete	VERB
bracis-28381	97	6	null	null	ADJ
bracis-28381	97	7	data	datum	NOUN
bracis-28381	97	8	and	and	CCONJ
bracis-28381	97	9	convert	convert	VERB
bracis-28381	97	10	the	the	DET
bracis-28381	97	11	fields	field	NOUN
bracis-28381	97	12	to	to	PART
bracis-28381	97	13	float	float	VERB
bracis-28381	97	14	numbers	number	NOUN
bracis-28381	97	15	.	.	PUNCT
bracis-28381	98	1	we	we	PRON
bracis-28381	98	2	removed	remove	VERB
bracis-28381	98	3	the	the	DET
bracis-28381	98	4	“	"	PUNCT
bracis-28381	98	5	date	date	NOUN
bracis-28381	98	6	”	"	PUNCT
bracis-28381	98	7	and	and	CCONJ
bracis-28381	98	8	“	"	PUNCT
bracis-28381	98	9	change	change	VERB
bracis-28381	98	10	”	"	PUNCT
bracis-28381	98	11	columns	column	NOUN
bracis-28381	98	12	as	as	SCONJ
bracis-28381	98	13	they	they	PRON
bracis-28381	98	14	are	be	AUX
bracis-28381	98	15	unnecessary	unnecessary	ADJ
bracis-28381	98	16	.	.	PUNCT
bracis-28381	99	1	the	the	DET
bracis-28381	99	2	“	"	PUNCT
bracis-28381	99	3	date	date	NOUN
bracis-28381	99	4	”	"	PUNCT
bracis-28381	99	5	is	be	AUX
bracis-28381	99	6	due	due	ADJ
bracis-28381	99	7	to	to	ADP
bracis-28381	99	8	its	its	PRON
bracis-28381	99	9	nature	nature	NOUN
bracis-28381	99	10	which	which	PRON
bracis-28381	99	11	is	be	AUX
bracis-28381	99	12	an	an	DET
bracis-28381	99	13	index	index	NOUN
bracis-28381	99	14	,	,	PUNCT
bracis-28381	99	15	and	and	CCONJ
bracis-28381	99	16	the	the	DET
bracis-28381	99	17	“	"	PUNCT
bracis-28381	99	18	change	change	NOUN
bracis-28381	99	19	”	"	PUNCT
bracis-28381	99	20	column	column	NOUN
bracis-28381	99	21	because	because	SCONJ
bracis-28381	99	22	it	it	PRON
bracis-28381	99	23	is	be	AUX
bracis-28381	99	24	a	a	DET
bracis-28381	99	25	linear	linear	ADJ
bracis-28381	99	26	combination	combination	NOUN
bracis-28381	99	27	of	of	ADP
bracis-28381	99	28	the	the	DET
bracis-28381	99	29	other	other	ADJ
bracis-28381	99	30	fields	field	NOUN
bracis-28381	99	31	.	.	PUNCT
bracis-28381	100	1	and	and	CCONJ
bracis-28381	100	2	last	last	ADJ
bracis-28381	100	3	,	,	PUNCT
bracis-28381	100	4	before	before	ADP
bracis-28381	100	5	the	the	DET
bracis-28381	100	6	training	training	NOUN
bracis-28381	100	7	,	,	PUNCT
bracis-28381	100	8	it	it	PRON
bracis-28381	100	9	is	be	AUX
bracis-28381	100	10	mounted	mount	VERB
bracis-28381	100	11	frames	frame	NOUN
bracis-28381	100	12	with	with	ADP
bracis-28381	100	13	a	a	DET
bracis-28381	100	14	window	window	NOUN
bracis-28381	100	15	of	of	ADP
bracis-28381	100	16	several	several	ADJ
bracis-28381	100	17	days	day	NOUN
bracis-28381	100	18	for	for	ADP
bracis-28381	100	19	training	training	NOUN
bracis-28381	100	20	and	and	CCONJ
bracis-28381	100	21	testing	testing	NOUN
bracis-28381	100	22	according	accord	VERB
bracis-28381	100	23	to	to	ADP
bracis-28381	100	24	the	the	DET
bracis-28381	100	25	machine	machine	NOUN
bracis-28381	100	26	learning	learn	VERB
bracis-28381	100	27	model	model	NOUN
bracis-28381	100	28	needs	need	NOUN
bracis-28381	100	29	.	.	PUNCT
bracis-28381	101	1	besides	besides	SCONJ
bracis-28381	101	2	,	,	PUNCT
bracis-28381	101	3	the	the	DET
bracis-28381	101	4	letters	letter	NOUN
bracis-28381	101	5	“	"	PUNCT
bracis-28381	101	6	m	m	PROPN
bracis-28381	101	7	”	"	PUNCT
bracis-28381	101	8	and	and	CCONJ
bracis-28381	101	9	“	"	PUNCT
bracis-28381	101	10	k	k	X
bracis-28381	101	11	”	"	PUNCT
bracis-28381	101	12	are	be	AUX
bracis-28381	101	13	also	also	ADV
bracis-28381	101	14	converted	convert	VERB
bracis-28381	101	15	to	to	ADP
bracis-28381	101	16	“	"	PUNCT
bracis-28381	101	17	000000	000000	NUM
bracis-28381	101	18	”	"	PUNCT
bracis-28381	101	19	and	and	CCONJ
bracis-28381	101	20	“	"	PUNCT
bracis-28381	101	21	000	000	NUM
bracis-28381	101	22	”	"	PUNCT
bracis-28381	101	23	respectively	respectively	ADV
bracis-28381	101	24	.	.	PUNCT
bracis-28381	102	1	for	for	ADP
bracis-28381	102	2	example	example	NOUN
bracis-28381	102	3	,	,	PUNCT
bracis-28381	102	4	the	the	DET
bracis-28381	102	5	string	string	NOUN
bracis-28381	102	6	“	"	PUNCT
bracis-28381	102	7	14k	14k	NOUN
bracis-28381	102	8	”	"	PUNCT
bracis-28381	102	9	would	would	AUX
bracis-28381	102	10	be	be	AUX
bracis-28381	102	11	converted	convert	VERB
bracis-28381	102	12	to	to	ADP
bracis-28381	102	13	14,000	14,000	NUM
bracis-28381	102	14	and	and	CCONJ
bracis-28381	102	15	“	"	PUNCT
bracis-28381	102	16	2	2	NUM
bracis-28381	102	17	m	m	NOUN
bracis-28381	102	18	”	"	PUNCT
bracis-28381	102	19	would	would	AUX
bracis-28381	102	20	be	be	AUX
bracis-28381	102	21	converted	convert	VERB
bracis-28381	102	22	to	to	ADP
bracis-28381	102	23	2,000,000	2,000,000	NUM
bracis-28381	102	24	.	.	PUNCT
bracis-28381	103	1	finally	finally	ADV
bracis-28381	103	2	,	,	PUNCT
bracis-28381	103	3	the	the	DET
bracis-28381	103	4	data	datum	NOUN
bracis-28381	103	5	needs	need	VERB
bracis-28381	103	6	to	to	PART
bracis-28381	103	7	be	be	AUX
bracis-28381	103	8	normalized	normalize	VERB
bracis-28381	103	9	due	due	ADP
bracis-28381	103	10	to	to	ADP
bracis-28381	103	11	the	the	DET
bracis-28381	103	12	high	high	ADJ
bracis-28381	103	13	differences	difference	NOUN
bracis-28381	103	14	in	in	ADP
bracis-28381	103	15	the	the	DET
bracis-28381	103	16	features	feature	NOUN
bracis-28381	103	17	scale	scale	NOUN
bracis-28381	103	18	.	.	PUNCT
bracis-28381	104	1	by	by	ADP
bracis-28381	104	2	normalizing	normalize	VERB
bracis-28381	104	3	the	the	DET
bracis-28381	104	4	data	datum	NOUN
bracis-28381	104	5	,	,	PUNCT
bracis-28381	104	6	we	we	PRON
bracis-28381	104	7	ensure	ensure	VERB
bracis-28381	104	8	that	that	SCONJ
bracis-28381	104	9	all	all	DET
bracis-28381	104	10	data	datum	NOUN
bracis-28381	104	11	has	have	VERB
bracis-28381	104	12	the	the	DET
bracis-28381	104	13	same	same	ADJ
bracis-28381	104	14	impact	impact	NOUN
bracis-28381	104	15	on	on	ADP
bracis-28381	104	16	training	training	NOUN
bracis-28381	104	17	.	.	PUNCT
bracis-28381	105	1	the	the	DET
bracis-28381	105	2	normalization	normalization	NOUN
bracis-28381	105	3	strategy	strategy	NOUN
bracis-28381	105	4	adopted	adopt	VERB
bracis-28381	105	5	was	be	AUX
bracis-28381	105	6	the	the	DET
bracis-28381	105	7	min	min	PROPN
bracis-28381	105	8	-	-	PUNCT
bracis-28381	105	9	max	max	NOUN
bracis-28381	105	10	,	,	PUNCT
bracis-28381	105	11	which	which	PRON
bracis-28381	105	12	can	can	AUX
bracis-28381	105	13	be	be	AUX
bracis-28381	105	14	defined	define	VERB
bracis-28381	105	15	as	as	ADP
bracis-28381	105	16	:	:	PUNCT
bracis-28381	105	17	$	$	SYM
bracis-28381	105	18	$	$	SYM
bracis-28381	105	19	\begin{aligned	\begin{aligne	VERB
bracis-28381	105	20	}	}	PUNCT
bracis-28381	105	21	x_{norm	x_{norm	NOUN
bracis-28381	105	22	}	}	PUNCT
bracis-28381	105	23	=	=	PUNCT
bracis-28381	105	24	\frac{(x	\frac{(x	NUM
bracis-28381	105	25	x_{min})}{x_{max	x_{min})}{x_{max	NOUN
bracis-28381	105	26	}	}	PUNCT
bracis-28381	105	27	-x_{min	-x_{min	ADJ
bracis-28381	105	28	}	}	PUNCT
bracis-28381	105	29	}	}	PUNCT
bracis-28381	105	30	,	,	PUNCT
bracis-28381	105	31	\end{aligned}$$	\end{aligned}$$	X
bracis-28381	105	32	(	(	PUNCT
bracis-28381	105	33	1	1	NUM
bracis-28381	105	34	)	)	PUNCT
bracis-28381	105	35	where	where	SCONJ
bracis-28381	105	36	x	x	PRON
bracis-28381	105	37	is	be	AUX
bracis-28381	105	38	a	a	DET
bracis-28381	105	39	unit	unit	NOUN
bracis-28381	105	40	of	of	ADP
bracis-28381	105	41	data	data	PROPN
bracis-28381	105	42	,	,	PUNCT
bracis-28381	105	43	\(x_{max}\	\(x_{max}\	PROPN
bracis-28381	105	44	)	)	PUNCT
bracis-28381	105	45	is	be	AUX
bracis-28381	105	46	the	the	DET
bracis-28381	105	47	largest	large	ADJ
bracis-28381	105	48	value	value	NOUN
bracis-28381	105	49	in	in	ADP
bracis-28381	105	50	the	the	DET
bracis-28381	105	51	dataset	dataset	NOUN
bracis-28381	105	52	,	,	PUNCT
bracis-28381	105	53	\(x_{min}\	\(x_{min}\	PROPN
bracis-28381	105	54	)	)	PUNCT
bracis-28381	105	55	is	be	AUX
bracis-28381	105	56	the	the	DET
bracis-28381	105	57	smallest	small	ADJ
bracis-28381	105	58	value	value	NOUN
bracis-28381	105	59	in	in	ADP
bracis-28381	105	60	the	the	DET
bracis-28381	105	61	dataset	dataset	NOUN
bracis-28381	105	62	,	,	PUNCT
bracis-28381	105	63	and	and	CCONJ
bracis-28381	105	64	\(x_{norm}\	\(x_{norm}\	NUM
bracis-28381	105	65	)	)	PUNCT
bracis-28381	105	66	is	be	AUX
bracis-28381	105	67	the	the	DET
bracis-28381	105	68	return	return	NOUN
bracis-28381	105	69	that	that	PRON
bracis-28381	105	70	will	will	AUX
bracis-28381	105	71	replace	replace	VERB
bracis-28381	105	72	x.	x.	NOUN
bracis-28381	105	73	3.2	3.2	NUM
bracis-28381	105	74	model	model	NOUN
bracis-28381	105	75	definition	definition	NOUN
bracis-28381	105	76	and	and	CCONJ
bracis-28381	105	77	 	 	SPACE
bracis-28381	105	78	training	train	VERB
bracis-28381	105	79	two	two	NUM
bracis-28381	105	80	strategies	strategy	NOUN
bracis-28381	105	81	are	be	AUX
bracis-28381	105	82	evaluated	evaluate	VERB
bracis-28381	105	83	,	,	PUNCT
bracis-28381	105	84	one	one	NUM
bracis-28381	105	85	base	base	NOUN
bracis-28381	105	86	on	on	ADP
bracis-28381	105	87	a	a	DET
bracis-28381	105	88	traditional	traditional	ADJ
bracis-28381	105	89	machine	machine	NOUN
bracis-28381	105	90	learning	learn	VERB
bracis-28381	105	91	strategy	strategy	NOUN
bracis-28381	105	92	and	and	CCONJ
bracis-28381	105	93	another	another	PRON
bracis-28381	105	94	based	base	VERB
bracis-28381	105	95	on	on	ADP
bracis-28381	105	96	deep	deep	ADJ
bracis-28381	105	97	learning	learning	NOUN
bracis-28381	105	98	architectures	architecture	NOUN
bracis-28381	105	99	.	.	PUNCT
bracis-28381	106	1	the	the	DET
bracis-28381	106	2	first	first	ADJ
bracis-28381	106	3	model	model	NOUN
bracis-28381	106	4	is	be	AUX
bracis-28381	106	5	based	base	VERB
bracis-28381	106	6	on	on	ADP
bracis-28381	106	7	the	the	DET
bracis-28381	106	8	support	support	NOUN
bracis-28381	106	9	vector	vector	NOUN
bracis-28381	106	10	regression	regression	NOUN
bracis-28381	106	11	(	(	PUNCT
bracis-28381	106	12	svr	svr	PROPN
bracis-28381	106	13	)	)	PUNCT
bracis-28381	107	1	[	[	X
bracis-28381	107	2	16	16	NUM
bracis-28381	107	3	]	]	PUNCT
bracis-28381	107	4	.	.	PUNCT
bracis-28381	108	1	the	the	DET
bracis-28381	108	2	svr	svr	PROPN
bracis-28381	108	3	works	work	VERB
bracis-28381	108	4	like	like	ADP
bracis-28381	108	5	svm	svm	NOUN
bracis-28381	108	6	(	(	PUNCT
bracis-28381	108	7	support	support	NOUN
bracis-28381	108	8	vector	vector	NOUN
bracis-28381	108	9	machine	machine	NOUN
bracis-28381	108	10	)	)	PUNCT
bracis-28381	108	11	,	,	PUNCT
bracis-28381	108	12	but	but	CCONJ
bracis-28381	108	13	instead	instead	ADV
bracis-28381	108	14	of	of	ADP
bracis-28381	108	15	making	make	VERB
bracis-28381	108	16	a	a	DET
bracis-28381	108	17	classification	classification	NOUN
bracis-28381	108	18	based	base	VERB
bracis-28381	108	19	on	on	ADP
bracis-28381	108	20	the	the	DET
bracis-28381	108	21	hyperplane	hyperplane	PROPN
bracis-28381	108	22	division	division	NOUN
bracis-28381	108	23	,	,	PUNCT
bracis-28381	108	24	it	it	PRON
bracis-28381	108	25	calculates	calculate	VERB
bracis-28381	108	26	and	and	CCONJ
bracis-28381	108	27	returns	return	VERB
bracis-28381	108	28	the	the	DET
bracis-28381	108	29	distance	distance	NOUN
bracis-28381	108	30	between	between	ADP
bracis-28381	108	31	the	the	DET
bracis-28381	108	32	point	point	NOUN
bracis-28381	108	33	and	and	CCONJ
bracis-28381	108	34	the	the	DET
bracis-28381	108	35	hyperplane	hyperplane	NOUN
bracis-28381	108	36	as	as	ADP
bracis-28381	108	37	output	output	NOUN
bracis-28381	108	38	.	.	PUNCT
bracis-28381	109	1	in	in	ADP
bracis-28381	109	2	this	this	DET
bracis-28381	109	3	work	work	NOUN
bracis-28381	109	4	,	,	PUNCT
bracis-28381	109	5	the	the	DET
bracis-28381	109	6	svr	svr	PROPN
bracis-28381	109	7	model	model	NOUN
bracis-28381	109	8	uses	use	VERB
bracis-28381	109	9	information	information	NOUN
bracis-28381	109	10	from	from	ADP
bracis-28381	109	11	a	a	DET
bracis-28381	109	12	single	single	ADJ
bracis-28381	109	13	day	day	NOUN
bracis-28381	109	14	to	to	PART
bracis-28381	109	15	predict	predict	VERB
bracis-28381	109	16	the	the	DET
bracis-28381	109	17	close	close	ADJ
bracis-28381	109	18	price	price	NOUN
bracis-28381	109	19	of	of	ADP
bracis-28381	109	20	the	the	DET
bracis-28381	109	21	next	next	ADJ
bracis-28381	109	22	day	day	NOUN
bracis-28381	109	23	.	.	PUNCT
bracis-28381	110	1	as	as	ADP
bracis-28381	110	2	in	in	ADP
bracis-28381	110	3	trade	trade	NOUN
bracis-28381	110	4	operations	operation	NOUN
bracis-28381	110	5	,	,	PUNCT
bracis-28381	110	6	recent	recent	ADJ
bracis-28381	110	7	data	datum	NOUN
bracis-28381	110	8	is	be	AUX
bracis-28381	110	9	just	just	ADV
bracis-28381	110	10	as	as	ADV
bracis-28381	110	11	important	important	ADJ
bracis-28381	110	12	as	as	ADP
bracis-28381	110	13	current	current	ADJ
bracis-28381	110	14	ones	one	NOUN
bracis-28381	110	15	since	since	SCONJ
bracis-28381	110	16	the	the	DET
bracis-28381	110	17	current	current	ADJ
bracis-28381	110	18	stock	stock	NOUN
bracis-28381	110	19	value	value	NOUN
bracis-28381	110	20	depends	depend	VERB
bracis-28381	110	21	on	on	ADP
bracis-28381	110	22	the	the	DET
bracis-28381	110	23	previous	previous	ADJ
bracis-28381	110	24	ones	one	NOUN
bracis-28381	110	25	.	.	PUNCT
bracis-28381	111	1	rnn	rnn	PROPN
bracis-28381	111	2	works	work	VERB
bracis-28381	111	3	well	well	ADV
bracis-28381	111	4	because	because	SCONJ
bracis-28381	111	5	it	it	PRON
bracis-28381	111	6	uses	use	VERB
bracis-28381	111	7	the	the	DET
bracis-28381	111	8	current	current	ADJ
bracis-28381	111	9	data	datum	NOUN
bracis-28381	111	10	and	and	CCONJ
bracis-28381	111	11	previous	previous	ADJ
bracis-28381	111	12	ones	one	NOUN
bracis-28381	111	13	.	.	PUNCT
bracis-28381	112	1	so	so	ADV
bracis-28381	112	2	the	the	DET
bracis-28381	112	3	input	input	NOUN
bracis-28381	112	4	is	be	AUX
bracis-28381	112	5	a	a	DET
bracis-28381	112	6	frame	frame	NOUN
bracis-28381	112	7	with	with	ADP
bracis-28381	112	8	the	the	DET
bracis-28381	112	9	several	several	ADJ
bracis-28381	112	10	days	day	NOUN
bracis-28381	112	11	including	include	VERB
bracis-28381	112	12	the	the	DET
bracis-28381	112	13	one	one	NUM
bracis-28381	112	14	right	right	ADV
bracis-28381	112	15	before	before	ADP
bracis-28381	112	16	the	the	DET
bracis-28381	112	17	day	day	NOUN
bracis-28381	112	18	that	that	PRON
bracis-28381	112	19	will	will	AUX
bracis-28381	112	20	be	be	AUX
bracis-28381	112	21	predicted	predict	VERB
bracis-28381	112	22	.	.	PUNCT
bracis-28381	113	1	one	one	NUM
bracis-28381	113	2	example	example	NOUN
bracis-28381	113	3	of	of	ADP
bracis-28381	113	4	rnn	rnn	PROPN
bracis-28381	113	5	is	be	AUX
bracis-28381	113	6	the	the	DET
bracis-28381	113	7	long	long	ADJ
bracis-28381	113	8	short	short	ADJ
bracis-28381	113	9	-	-	PUNCT
bracis-28381	113	10	term	term	NOUN
bracis-28381	113	11	memory	memory	NOUN
bracis-28381	113	12	(	(	PUNCT
bracis-28381	113	13	lstm	lstm	NOUN
bracis-28381	113	14	)	)	PUNCT
bracis-28381	113	15	architectures	architecture	NOUN
bracis-28381	114	1	[	[	X
bracis-28381	114	2	7	7	NUM
bracis-28381	114	3	]	]	PUNCT
bracis-28381	114	4	.	.	PUNCT
bracis-28381	115	1	we	we	PRON
bracis-28381	115	2	made	make	VERB
bracis-28381	115	3	a	a	DET
bracis-28381	115	4	sequence	sequence	NOUN
bracis-28381	115	5	of	of	ADP
bracis-28381	115	6	empirical	empirical	ADJ
bracis-28381	115	7	tests	test	NOUN
bracis-28381	115	8	with	with	ADP
bracis-28381	115	9	a	a	DET
bracis-28381	115	10	different	different	ADJ
bracis-28381	115	11	number	number	NOUN
bracis-28381	115	12	of	of	ADP
bracis-28381	115	13	layers	layer	NOUN
bracis-28381	115	14	to	to	PART
bracis-28381	115	15	compare	compare	VERB
bracis-28381	115	16	different	different	ADJ
bracis-28381	115	17	lstm	lstm	NOUN
bracis-28381	115	18	architectures	architecture	NOUN
bracis-28381	115	19	and	and	CCONJ
bracis-28381	115	20	try	try	VERB
bracis-28381	115	21	to	to	PART
bracis-28381	115	22	find	find	VERB
bracis-28381	115	23	the	the	DET
bracis-28381	115	24	best	good	ADJ
bracis-28381	115	25	fit	fit	NOUN
bracis-28381	115	26	for	for	ADP
bracis-28381	115	27	the	the	DET
bracis-28381	115	28	problem	problem	NOUN
bracis-28381	115	29	treated	treat	VERB
bracis-28381	115	30	.	.	PUNCT
bracis-28381	116	1	we	we	PRON
bracis-28381	116	2	fix	fix	VERB
bracis-28381	116	3	the	the	DET
bracis-28381	116	4	number	number	NOUN
bracis-28381	116	5	of	of	ADP
bracis-28381	116	6	75	75	NUM
bracis-28381	116	7	cells	cell	NOUN
bracis-28381	116	8	in	in	ADP
bracis-28381	116	9	each	each	DET
bracis-28381	116	10	layer	layer	NOUN
bracis-28381	116	11	,	,	PUNCT
bracis-28381	116	12	a	a	DET
bracis-28381	116	13	dropout	dropout	NOUN
bracis-28381	116	14	of	of	ADP
bracis-28381	116	15	20	20	NUM
bracis-28381	116	16	%	%	NOUN
bracis-28381	116	17	(	(	PUNCT
bracis-28381	116	18	avoid	avoid	VERB
bracis-28381	116	19	overfitting	overfitte	VERB
bracis-28381	116	20	[	[	X
bracis-28381	116	21	23	23	NUM
bracis-28381	116	22	]	]	NUM
bracis-28381	116	23	)	)	PUNCT
bracis-28381	116	24	,	,	PUNCT
bracis-28381	116	25	and	and	CCONJ
bracis-28381	116	26	the	the	DET
bracis-28381	116	27	last	last	ADJ
bracis-28381	116	28	layer	layer	NOUN
bracis-28381	116	29	as	as	ADP
bracis-28381	116	30	a	a	DET
bracis-28381	116	31	dense	dense	ADJ
bracis-28381	116	32	layer	layer	NOUN
bracis-28381	116	33	with	with	ADP
bracis-28381	116	34	one	one	NUM
bracis-28381	116	35	node	node	NOUN
bracis-28381	116	36	for	for	ADP
bracis-28381	116	37	the	the	DET
bracis-28381	116	38	regression	regression	NOUN
bracis-28381	116	39	.	.	PUNCT
bracis-28381	117	1	the	the	DET
bracis-28381	117	2	lstm	lstm	PROPN
bracis-28381	117	3	model	model	NOUN
bracis-28381	117	4	learns	learn	VERB
bracis-28381	117	5	the	the	DET
bracis-28381	117	6	time	time	NOUN
bracis-28381	117	7	series	series	NOUN
bracis-28381	117	8	.	.	PUNCT
bracis-28381	118	1	towards	towards	ADP
bracis-28381	118	2	to	to	PART
bracis-28381	118	3	extract	extract	VERB
bracis-28381	118	4	more	more	ADJ
bracis-28381	118	5	features	feature	NOUN
bracis-28381	118	6	from	from	ADP
bracis-28381	118	7	the	the	DET
bracis-28381	118	8	time	time	NOUN
bracis-28381	118	9	series	series	NOUN
bracis-28381	118	10	,	,	PUNCT
bracis-28381	118	11	a	a	DET
bracis-28381	118	12	convolutional	convolutional	ADJ
bracis-28381	118	13	neural	neural	ADJ
bracis-28381	118	14	network	network	NOUN
bracis-28381	118	15	(	(	PUNCT
bracis-28381	118	16	cnn	cnn	PROPN
bracis-28381	118	17	)	)	PUNCT
bracis-28381	119	1	[	[	X
bracis-28381	119	2	15	15	NUM
bracis-28381	119	3	]	]	X
bracis-28381	119	4	is	be	AUX
bracis-28381	119	5	applied	apply	VERB
bracis-28381	119	6	.	.	PUNCT
bracis-28381	120	1	so	so	ADV
bracis-28381	120	2	,	,	PUNCT
bracis-28381	120	3	instead	instead	ADV
bracis-28381	120	4	of	of	ADP
bracis-28381	120	5	the	the	DET
bracis-28381	120	6	lstm	lstm	NOUN
bracis-28381	120	7	learning	learn	VERB
bracis-28381	120	8	directly	directly	ADV
bracis-28381	120	9	from	from	ADP
bracis-28381	120	10	the	the	DET
bracis-28381	120	11	raw	raw	ADJ
bracis-28381	120	12	data	datum	NOUN
bracis-28381	120	13	,	,	PUNCT
bracis-28381	120	14	it	it	PRON
bracis-28381	120	15	could	could	AUX
bracis-28381	120	16	learn	learn	VERB
bracis-28381	120	17	from	from	ADP
bracis-28381	120	18	more	more	ADJ
bracis-28381	120	19	complex	complex	ADJ
bracis-28381	120	20	features	feature	NOUN
bracis-28381	120	21	learned	learn	VERB
bracis-28381	120	22	by	by	ADP
bracis-28381	120	23	convolution	convolution	NOUN
bracis-28381	120	24	layers	layer	NOUN
bracis-28381	120	25	of	of	ADP
bracis-28381	120	26	a	a	DET
bracis-28381	120	27	cnn	cnn	PROPN
bracis-28381	120	28	.	.	PUNCT
bracis-28381	121	1	this	this	DET
bracis-28381	121	2	strategy	strategy	NOUN
bracis-28381	121	3	was	be	AUX
bracis-28381	121	4	observed	observe	VERB
bracis-28381	121	5	in	in	ADP
bracis-28381	121	6	other	other	ADJ
bracis-28381	121	7	works	work	NOUN
bracis-28381	121	8	that	that	PRON
bracis-28381	121	9	use	use	VERB
bracis-28381	121	10	a	a	DET
bracis-28381	121	11	1d	1d	NUM
bracis-28381	121	12	signals	signal	NOUN
bracis-28381	121	13	 	 	SPACE
bracis-28381	122	1	[	[	X
bracis-28381	122	2	5	5	NUM
bracis-28381	122	3	]	]	PUNCT
bracis-28381	122	4	.	.	PUNCT
bracis-28381	123	1	the	the	DET
bracis-28381	123	2	cnn	cnn	PROPN
bracis-28381	123	3	-	-	PUNCT
bracis-28381	123	4	lstm	lstm	PROPN
bracis-28381	123	5	model	model	NOUN
bracis-28381	123	6	was	be	AUX
bracis-28381	123	7	constructed	construct	VERB
bracis-28381	123	8	by	by	ADP
bracis-28381	123	9	using	use	VERB
bracis-28381	123	10	the	the	DET
bracis-28381	123	11	best	well	ADV
bracis-28381	123	12	-	-	PUNCT
bracis-28381	123	13	performing	perform	VERB
bracis-28381	123	14	lstm	lstm	ADJ
bracis-28381	123	15	model	model	NOUN
bracis-28381	123	16	,	,	PUNCT
bracis-28381	123	17	adding	add	VERB
bracis-28381	123	18	a	a	DET
bracis-28381	123	19	one	one	NUM
bracis-28381	123	20	-	-	PUNCT
bracis-28381	123	21	dimensional	dimensional	ADJ
bracis-28381	123	22	convolutional	convolutional	ADJ
bracis-28381	123	23	layer	layer	NOUN
bracis-28381	123	24	with	with	ADP
bracis-28381	123	25	32	32	NUM
bracis-28381	123	26	filters	filter	NOUN
bracis-28381	123	27	,	,	PUNCT
bracis-28381	123	28	relu	relu	NOUN
bracis-28381	123	29	activation	activation	NOUN
bracis-28381	123	30	,	,	PUNCT
bracis-28381	123	31	followed	follow	VERB
bracis-28381	123	32	by	by	ADP
bracis-28381	123	33	a	a	DET
bracis-28381	123	34	max	max	PROPN
bracis-28381	123	35	-	-	PUNCT
bracis-28381	123	36	pooling	pool	VERB
bracis-28381	123	37	layer	layer	NOUN
bracis-28381	123	38	of	of	ADP
bracis-28381	123	39	size	size	NOUN
bracis-28381	123	40	4	4	NUM
bracis-28381	123	41	.	.	PUNCT
bracis-28381	124	1	the	the	DET
bracis-28381	124	2	values	value	NOUN
bracis-28381	124	3	for	for	ADP
bracis-28381	124	4	the	the	DET
bracis-28381	124	5	cnn	cnn	PROPN
bracis-28381	124	6	and	and	CCONJ
bracis-28381	124	7	max	max	PROPN
bracis-28381	124	8	-	-	PUNCT
bracis-28381	124	9	pooling	pool	VERB
bracis-28381	124	10	layer	layer	NOUN
bracis-28381	124	11	were	be	AUX
bracis-28381	124	12	determined	determine	VERB
bracis-28381	124	13	empirically	empirically	ADV
bracis-28381	124	14	.	.	PUNCT
bracis-28381	125	1	3.3	3.3	NUM
bracis-28381	125	2	evaluation	evaluation	NOUN
bracis-28381	125	3	metrics	metric	NOUN
bracis-28381	125	4	to	to	PART
bracis-28381	125	5	evaluate	evaluate	VERB
bracis-28381	125	6	the	the	DET
bracis-28381	125	7	effectiveness	effectiveness	NOUN
bracis-28381	125	8	of	of	ADP
bracis-28381	125	9	the	the	DET
bracis-28381	125	10	proposed	propose	VERB
bracis-28381	125	11	approaches	approach	NOUN
bracis-28381	125	12	,	,	PUNCT
bracis-28381	125	13	we	we	PRON
bracis-28381	125	14	used	use	VERB
bracis-28381	125	15	three	three	NUM
bracis-28381	125	16	different	different	ADJ
bracis-28381	125	17	evaluation	evaluation	NOUN
bracis-28381	125	18	metrics	metric	NOUN
bracis-28381	125	19	,	,	PUNCT
bracis-28381	125	20	all	all	PRON
bracis-28381	125	21	available	available	ADJ
bracis-28381	125	22	on	on	ADP
bracis-28381	125	23	the	the	DET
bracis-28381	125	24	scikit	scikit	NOUN
bracis-28381	125	25	-	-	PUNCT
bracis-28381	125	26	learn	learn	NOUN
bracis-28381	125	27	library	library	NOUN
bracis-28381	125	28	.	.	PUNCT
bracis-28381	126	1	the	the	DET
bracis-28381	126	2	first	first	ADJ
bracis-28381	126	3	one	one	NUM
bracis-28381	126	4	is	be	AUX
bracis-28381	126	5	the	the	DET
bracis-28381	126	6	root	root	NOUN
bracis-28381	126	7	mean	mean	ADJ
bracis-28381	126	8	square	square	ADJ
bracis-28381	126	9	error	error	NOUN
bracis-28381	126	10	(	(	PUNCT
bracis-28381	126	11	rmse	rmse	NOUN
bracis-28381	126	12	)	)	PUNCT
bracis-28381	126	13	,	,	PUNCT
bracis-28381	126	14	which	which	PRON
bracis-28381	126	15	is	be	AUX
bracis-28381	126	16	the	the	DET
bracis-28381	126	17	mean	mean	ADJ
bracis-28381	126	18	error	error	NOUN
bracis-28381	126	19	squared	square	VERB
bracis-28381	126	20	to	to	PART
bracis-28381	126	21	turn	turn	VERB
bracis-28381	126	22	positive	positive	ADJ
bracis-28381	126	23	the	the	DET
bracis-28381	126	24	metric	metric	NOUN
bracis-28381	126	25	,	,	PUNCT
bracis-28381	126	26	and	and	CCONJ
bracis-28381	126	27	the	the	DET
bracis-28381	126	28	square	square	ADJ
bracis-28381	126	29	root	root	NOUN
bracis-28381	126	30	to	to	PART
bracis-28381	126	31	move	move	VERB
bracis-28381	126	32	back	back	ADV
bracis-28381	126	33	to	to	ADP
bracis-28381	126	34	the	the	DET
bracis-28381	126	35	original	original	ADJ
bracis-28381	126	36	proportion	proportion	NOUN
bracis-28381	126	37	.	.	PUNCT
bracis-28381	127	1	besides	besides	SCONJ
bracis-28381	127	2	,	,	PUNCT
bracis-28381	127	3	it	it	PRON
bracis-28381	127	4	also	also	ADV
bracis-28381	127	5	focuses	focus	VERB
bracis-28381	127	6	on	on	ADP
bracis-28381	127	7	emphasizing	emphasize	VERB
bracis-28381	127	8	large	large	ADJ
bracis-28381	127	9	outlier	outlier	ADJ
bracis-28381	127	10	errors	error	NOUN
bracis-28381	127	11	.	.	PUNCT
bracis-28381	128	1	the	the	DET
bracis-28381	128	2	metric	metric	NOUN
bracis-28381	128	3	is	be	AUX
bracis-28381	128	4	defined	define	VERB
bracis-28381	128	5	as	as	ADP
bracis-28381	128	6	$	$	SYM
bracis-28381	128	7	$	$	SYM
bracis-28381	128	8	\begin{aligned	\begin{aligne	VERB
bracis-28381	128	9	}	}	PUNCT
bracis-28381	128	10	rmse	rmse	NOUN
bracis-28381	129	1	=	=	SYM
bracis-28381	129	2	\sqrt{\frac{\sum	\sqrt{\frac{\sum	PROPN
bracis-28381	129	3	{	{	PUNCT
bracis-28381	129	4	(	(	PUNCT
bracis-28381	129	5	y_i	y_i	PROPN
bracis-28381	129	6	y_p)^2}}{n	y_p)^2}}{n	PROPN
bracis-28381	129	7	}	}	PUNCT
bracis-28381	129	8	}	}	PUNCT
bracis-28381	129	9	,	,	PUNCT
bracis-28381	129	10	\end{aligned}$$	\end{aligned}$$	X
bracis-28381	129	11	(	(	PUNCT
bracis-28381	129	12	2	2	NUM
bracis-28381	129	13	)	)	PUNCT
bracis-28381	129	14	where	where	SCONJ
bracis-28381	129	15	\(y_i\	\(y_i\	NOUN
bracis-28381	129	16	)	)	PUNCT
bracis-28381	129	17	represents	represent	VERB
bracis-28381	129	18	the	the	DET
bracis-28381	129	19	right	right	ADJ
bracis-28381	129	20	value	value	NOUN
bracis-28381	129	21	,	,	PUNCT
bracis-28381	129	22	\(y_p\	\(y_p\	PROPN
bracis-28381	129	23	)	)	PUNCT
bracis-28381	129	24	is	be	AUX
bracis-28381	129	25	the	the	DET
bracis-28381	129	26	value	value	NOUN
bracis-28381	129	27	predicted	predict	VERB
bracis-28381	129	28	by	by	ADP
bracis-28381	129	29	the	the	DET
bracis-28381	129	30	model	model	NOUN
bracis-28381	129	31	,	,	PUNCT
bracis-28381	129	32	and	and	CCONJ
bracis-28381	129	33	n	n	PRON
bracis-28381	129	34	is	be	AUX
bracis-28381	129	35	the	the	DET
bracis-28381	129	36	number	number	NOUN
bracis-28381	129	37	of	of	ADP
bracis-28381	129	38	predictions	prediction	NOUN
bracis-28381	129	39	made	make	VERB
bracis-28381	129	40	in	in	ADP
bracis-28381	129	41	tests	test	NOUN
bracis-28381	129	42	.	.	PUNCT
bracis-28381	130	1	the	the	DET
bracis-28381	130	2	second	second	ADJ
bracis-28381	130	3	is	be	AUX
bracis-28381	130	4	mean	mean	ADJ
bracis-28381	130	5	absolute	absolute	ADJ
bracis-28381	130	6	error	error	NOUN
bracis-28381	130	7	(	(	PUNCT
bracis-28381	130	8	mae	mae	PROPN
bracis-28381	130	9	)	)	PUNCT
bracis-28381	130	10	,	,	PUNCT
bracis-28381	130	11	which	which	PRON
bracis-28381	130	12	is	be	AUX
bracis-28381	130	13	the	the	DET
bracis-28381	130	14	module	module	NOUN
bracis-28381	130	15	of	of	ADP
bracis-28381	130	16	the	the	DET
bracis-28381	130	17	mean	mean	ADJ
bracis-28381	130	18	error	error	NOUN
bracis-28381	130	19	and	and	CCONJ
bracis-28381	130	20	it	it	PRON
bracis-28381	130	21	is	be	AUX
bracis-28381	130	22	represented	represent	VERB
bracis-28381	130	23	by	by	ADP
bracis-28381	130	24	the	the	DET
bracis-28381	130	25	formula	formula	NOUN
bracis-28381	130	26	$	$	SYM
bracis-28381	130	27	$	$	SYM
bracis-28381	130	28	\begin{aligned	\begin{aligne	VERB
bracis-28381	130	29	}	}	PUNCT
bracis-28381	130	30	mae	mae	PROPN
bracis-28381	130	31	=	=	PROPN
bracis-28381	130	32	\frac{\sum	\frac{\sum	NOUN
bracis-28381	130	33	|(y_i	|(y_i	PROPN
bracis-28381	130	34	y_p)|}{n	y_p)|}{n	PROPN
bracis-28381	130	35	}	}	PUNCT
bracis-28381	130	36	,	,	PUNCT
bracis-28381	130	37	\end{aligned}$$	\end{aligned}$$	X
bracis-28381	130	38	(	(	PUNCT
bracis-28381	130	39	3	3	NUM
bracis-28381	130	40	)	)	PUNCT
bracis-28381	130	41	in	in	ADP
bracis-28381	130	42	which	which	PRON
bracis-28381	130	43	\(y_i\	\(y_i\	NOUN
bracis-28381	130	44	)	)	PUNCT
bracis-28381	130	45	,	,	PUNCT
bracis-28381	130	46	\(y_p\	\(y_p\	PROPN
bracis-28381	130	47	)	)	PUNCT
bracis-28381	130	48	and	and	CCONJ
bracis-28381	130	49	n	n	PRON
bracis-28381	130	50	are	be	AUX
bracis-28381	130	51	the	the	DET
bracis-28381	130	52	same	same	ADJ
bracis-28381	130	53	presented	present	VERB
bracis-28381	130	54	for	for	ADP
bracis-28381	130	55	rmse	rmse	PROPN
bracis-28381	130	56	metric	metric	NOUN
bracis-28381	130	57	.	.	PUNCT
bracis-28381	131	1	the	the	DET
bracis-28381	131	2	last	last	ADJ
bracis-28381	131	3	metric	metric	NOUN
bracis-28381	131	4	used	use	VERB
bracis-28381	131	5	was	be	AUX
bracis-28381	131	6	the	the	DET
bracis-28381	131	7	mean	mean	ADJ
bracis-28381	131	8	average	average	ADJ
bracis-28381	131	9	percentage	percentage	NOUN
bracis-28381	131	10	error	error	NOUN
bracis-28381	131	11	(	(	PUNCT
bracis-28381	131	12	mape	mape	NOUN
bracis-28381	131	13	)	)	PUNCT
bracis-28381	131	14	,	,	PUNCT
bracis-28381	131	15	which	which	PRON
bracis-28381	131	16	is	be	AUX
bracis-28381	131	17	represented	represent	VERB
bracis-28381	131	18	by	by	ADP
bracis-28381	131	19	the	the	DET
bracis-28381	131	20	formula	formula	NOUN
bracis-28381	131	21	$	$	SYM
bracis-28381	131	22	$	$	SYM
bracis-28381	131	23	\begin{aligned	\begin{aligne	VERB
bracis-28381	131	24	}	}	PUNCT
bracis-28381	131	25	mape	mape	NOUN
bracis-28381	131	26	=	=	NOUN
bracis-28381	131	27	\frac{\sum	\frac{\sum	PROPN
bracis-28381	131	28	{	{	PUNCT
bracis-28381	131	29	|y_i	|y_i	PROPN
bracis-28381	131	30	y_p|/|y_p|}}{n	y_p|/|y_p|}}{n	PROPN
bracis-28381	131	31	}	}	PUNCT
bracis-28381	131	32	\end{aligned}$$	\end{aligned}$$	X
bracis-28381	131	33	(	(	PUNCT
bracis-28381	131	34	4	4	NUM
bracis-28381	131	35	)	)	PUNCT
bracis-28381	131	36	in	in	ADP
bracis-28381	131	37	which	which	PRON
bracis-28381	131	38	\(y_i\	\(y_i\	NOUN
bracis-28381	131	39	)	)	PUNCT
bracis-28381	131	40	,	,	PUNCT
bracis-28381	131	41	\(y_p\	\(y_p\	PROPN
bracis-28381	131	42	)	)	PUNCT
bracis-28381	131	43	and	and	CCONJ
bracis-28381	131	44	n	n	PRON
bracis-28381	131	45	are	be	AUX
bracis-28381	131	46	the	the	DET
bracis-28381	131	47	same	same	ADJ
bracis-28381	131	48	presented	present	VERB
bracis-28381	131	49	for	for	ADP
bracis-28381	131	50	rmse	rmse	NOUN
bracis-28381	131	51	and	and	CCONJ
bracis-28381	131	52	mae	mae	PROPN
bracis-28381	131	53	metrics	metric	NOUN
bracis-28381	131	54	.	.	PUNCT
bracis-28381	132	1	4	4	NUM
bracis-28381	132	2	experiments	experiment	NOUN
bracis-28381	132	3	and	and	CCONJ
bracis-28381	132	4	 	 	SPACE
bracis-28381	132	5	results	result	NOUN
bracis-28381	132	6	this	this	DET
bracis-28381	132	7	section	section	NOUN
bracis-28381	132	8	is	be	AUX
bracis-28381	132	9	about	about	ADP
bracis-28381	132	10	showing	show	VERB
bracis-28381	132	11	,	,	PUNCT
bracis-28381	132	12	explaining	explain	VERB
bracis-28381	132	13	,	,	PUNCT
bracis-28381	132	14	and	and	CCONJ
bracis-28381	132	15	discussing	discuss	VERB
bracis-28381	132	16	the	the	DET
bracis-28381	132	17	results	result	NOUN
bracis-28381	132	18	.	.	PUNCT
bracis-28381	133	1	all	all	DET
bracis-28381	133	2	the	the	DET
bracis-28381	133	3	training	training	NOUN
bracis-28381	133	4	and	and	CCONJ
bracis-28381	133	5	testing	testing	NOUN
bracis-28381	133	6	were	be	AUX
bracis-28381	133	7	made	make	VERB
bracis-28381	133	8	in	in	ADP
bracis-28381	133	9	a	a	DET
bracis-28381	133	10	computer	computer	NOUN
bracis-28381	133	11	with	with	ADP
bracis-28381	133	12	128	128	NUM
bracis-28381	133	13	 	 	SPACE
bracis-28381	133	14	gb	gb	NOUN
bracis-28381	133	15	ram	ram	NOUN
bracis-28381	133	16	,	,	PUNCT
bracis-28381	133	17	titan	titan	NOUN
bracis-28381	133	18	x	x	NOUN
bracis-28381	133	19	12	12	NUM
bracis-28381	133	20	 	 	SPACE
bracis-28381	133	21	gb	gb	NOUN
bracis-28381	133	22	vram	vram	NOUN
bracis-28381	133	23	,	,	PUNCT
bracis-28381	133	24	and	and	CCONJ
bracis-28381	133	25	intel(r	intel(r	NOUN
bracis-28381	133	26	)	)	PUNCT
bracis-28381	133	27	core(tm	core(tm	NOUN
bracis-28381	133	28	)	)	PUNCT
bracis-28381	133	29	i7	i7	NOUN
bracis-28381	133	30	-	-	PUNCT
bracis-28381	133	31	5820k	5820k	NOUN
bracis-28381	133	32	cpu	cpu	NOUN
bracis-28381	133	33	@	@	ADP
bracis-28381	133	34	3.30	3.30	NUM
bracis-28381	133	35	 	 	SPACE
bracis-28381	133	36	ghz	ghz	NOUN
bracis-28381	133	37	.	.	PUNCT
bracis-28381	134	1	the	the	DET
bracis-28381	134	2	framework	framework	NOUN
bracis-28381	134	3	used	use	VERB
bracis-28381	134	4	was	be	AUX
bracis-28381	134	5	tensorflow	tensorflow	NOUN
bracis-28381	134	6	2	2	NUM
bracis-28381	134	7	and	and	CCONJ
bracis-28381	134	8	scikit	scikit	NOUN
bracis-28381	134	9	-	-	PUNCT
bracis-28381	134	10	learn	learn	VERB
bracis-28381	134	11	1.1	1.1	NUM
bracis-28381	134	12	for	for	ADP
bracis-28381	134	13	python3	python3	NOUN
bracis-28381	134	14	.	.	PUNCT
bracis-28381	135	1	we	we	PRON
bracis-28381	135	2	aim	aim	VERB
bracis-28381	135	3	to	to	PART
bracis-28381	135	4	answer	answer	VERB
bracis-28381	135	5	the	the	DET
bracis-28381	135	6	two	two	NUM
bracis-28381	135	7	researches	research	NOUN
bracis-28381	135	8	questions	question	NOUN
bracis-28381	135	9	of	of	ADP
bracis-28381	135	10	this	this	DET
bracis-28381	135	11	work	work	NOUN
bracis-28381	135	12	:	:	PUNCT
bracis-28381	135	13	(	(	PUNCT
bracis-28381	135	14	1	1	X
bracis-28381	135	15	)	)	PUNCT
bracis-28381	135	16	can	can	AUX
bracis-28381	135	17	integrating	integrate	VERB
bracis-28381	135	18	convolutional	convolutional	ADJ
bracis-28381	135	19	and	and	CCONJ
bracis-28381	135	20	recursive	recursive	ADJ
bracis-28381	135	21	lstm	lstm	NOUN
bracis-28381	135	22	blocks	block	NOUN
bracis-28381	135	23	within	within	ADP
bracis-28381	135	24	a	a	DET
bracis-28381	135	25	singular	singular	ADJ
bracis-28381	135	26	architecture	architecture	NOUN
bracis-28381	135	27	enhance	enhance	NOUN
bracis-28381	135	28	prediction	prediction	NOUN
bracis-28381	135	29	accuracy	accuracy	NOUN
bracis-28381	135	30	?	?	PUNCT
bracis-28381	136	1	and	and	CCONJ
bracis-28381	136	2	(	(	PUNCT
bracis-28381	136	3	2	2	X
bracis-28381	136	4	)	)	PUNCT
bracis-28381	136	5	what	what	PRON
bracis-28381	136	6	is	be	AUX
bracis-28381	136	7	the	the	DET
bracis-28381	136	8	impact	impact	NOUN
bracis-28381	136	9	of	of	ADP
bracis-28381	136	10	training	training	NOUN
bracis-28381	136	11	and	and	CCONJ
bracis-28381	136	12	testing	testing	NOUN
bracis-28381	136	13	with	with	ADP
bracis-28381	136	14	disparate	disparate	ADJ
bracis-28381	136	15	data	datum	NOUN
bracis-28381	136	16	distributions	distribution	NOUN
bracis-28381	136	17	?	?	PUNCT
bracis-28381	137	1	to	to	PART
bracis-28381	137	2	correctly	correctly	ADV
bracis-28381	137	3	answer	answer	VERB
bracis-28381	137	4	the	the	DET
bracis-28381	137	5	second	second	ADJ
bracis-28381	137	6	question	question	NOUN
bracis-28381	137	7	,	,	PUNCT
bracis-28381	137	8	first	first	ADV
bracis-28381	137	9	we	we	PRON
bracis-28381	137	10	propose	propose	VERB
bracis-28381	137	11	baseline	baseline	NOUN
bracis-28381	137	12	results	result	NOUN
bracis-28381	137	13	using	use	VERB
bracis-28381	137	14	the	the	DET
bracis-28381	137	15	svr	svr	PROPN
bracis-28381	137	16	method	method	NOUN
bracis-28381	137	17	.	.	PUNCT
bracis-28381	138	1	to	to	PART
bracis-28381	138	2	answer	answer	VERB
bracis-28381	138	3	the	the	DET
bracis-28381	138	4	first	first	ADJ
bracis-28381	138	5	question	question	NOUN
bracis-28381	138	6	,	,	PUNCT
bracis-28381	138	7	first	first	ADV
bracis-28381	138	8	we	we	PRON
bracis-28381	138	9	evaluate	evaluate	VERB
bracis-28381	138	10	a	a	DET
bracis-28381	138	11	proper	proper	ADJ
bracis-28381	138	12	lstm	lstm	NOUN
bracis-28381	138	13	architecture	architecture	NOUN
bracis-28381	138	14	and	and	CCONJ
bracis-28381	138	15	then	then	ADV
bracis-28381	138	16	,	,	PUNCT
bracis-28381	138	17	add	add	VERB
bracis-28381	138	18	cnn	cnn	PROPN
bracis-28381	138	19	layer	layer	NOUN
bracis-28381	138	20	.	.	PUNCT
bracis-28381	139	1	all	all	DET
bracis-28381	139	2	the	the	DET
bracis-28381	139	3	models	model	NOUN
bracis-28381	139	4	were	be	AUX
bracis-28381	139	5	trained	train	VERB
bracis-28381	139	6	for	for	ADP
bracis-28381	139	7	10,000	10,000	NUM
bracis-28381	139	8	epochs	epoch	NOUN
bracis-28381	139	9	.	.	PUNCT
bracis-28381	140	1	the	the	DET
bracis-28381	140	2	svr	svr	PROPN
bracis-28381	140	3	model	model	NOUN
bracis-28381	140	4	has	have	VERB
bracis-28381	140	5	an	an	DET
bracis-28381	140	6	rbf	rbf	PROPN
bracis-28381	140	7	kernel	kernel	PROPN
bracis-28381	140	8	and	and	CCONJ
bracis-28381	140	9	a	a	DET
bracis-28381	140	10	regularization	regularization	NOUN
bracis-28381	140	11	parameter	parameter	NOUN
bracis-28381	140	12	of	of	ADP
bracis-28381	140	13	1	1	NUM
bracis-28381	140	14	.	.	PUNCT
bracis-28381	141	1	the	the	DET
bracis-28381	141	2	lstm	lstm	PROPN
bracis-28381	141	3	and	and	CCONJ
bracis-28381	141	4	cnn	cnn	PROPN
bracis-28381	141	5	-	-	PUNCT
bracis-28381	141	6	lstm	lstm	ADJ
bracis-28381	141	7	models	model	NOUN
bracis-28381	141	8	were	be	AUX
bracis-28381	141	9	trained	train	VERB
bracis-28381	141	10	with	with	ADP
bracis-28381	141	11	a	a	DET
bracis-28381	141	12	batch	batch	NOUN
bracis-28381	141	13	size	size	NOUN
bracis-28381	141	14	of	of	ADP
bracis-28381	141	15	2,048	2,048	NUM
bracis-28381	141	16	,	,	PUNCT
bracis-28381	141	17	adam	adam	PROPN
bracis-28381	141	18	optimizer	optimizer	NOUN
bracis-28381	141	19	,	,	PUNCT
bracis-28381	141	20	and	and	CCONJ
bracis-28381	141	21	mean	mean	VERB
bracis-28381	141	22	squared	square	VERB
bracis-28381	141	23	error	error	NOUN
bracis-28381	141	24	as	as	ADP
bracis-28381	141	25	a	a	DET
bracis-28381	141	26	loss	loss	NOUN
bracis-28381	141	27	.	.	PUNCT
bracis-28381	142	1	the	the	DET
bracis-28381	142	2	models	model	NOUN
bracis-28381	142	3	were	be	AUX
bracis-28381	142	4	trained	train	VERB
bracis-28381	142	5	with	with	ADP
bracis-28381	142	6	the	the	DET
bracis-28381	142	7	tamo	tamo	PROPN
bracis-28381	142	8	dataset	dataset	VERB
bracis-28381	142	9	and	and	CCONJ
bracis-28381	142	10	tested	test	VERB
bracis-28381	142	11	using	use	VERB
bracis-28381	142	12	the	the	DET
bracis-28381	142	13	hclt	hclt	ADJ
bracis-28381	142	14	,	,	PUNCT
bracis-28381	142	15	mrti	mrti	NOUN
bracis-28381	142	16	,	,	PUNCT
bracis-28381	142	17	and	and	CCONJ
bracis-28381	142	18	axbk	axbk	ADV
bracis-28381	142	19	datasets	dataset	NOUN
bracis-28381	142	20	,	,	PUNCT
bracis-28381	142	21	following	follow	VERB
bracis-28381	142	22	the	the	DET
bracis-28381	142	23	pattern	pattern	NOUN
bracis-28381	142	24	of	of	ADP
bracis-28381	142	25	the	the	DET
bracis-28381	142	26	work	work	NOUN
bracis-28381	142	27	carried	carry	VERB
bracis-28381	142	28	out	out	ADP
bracis-28381	142	29	by	by	ADP
bracis-28381	142	30	hiransha	hiransha	PROPN
bracis-28381	142	31	et	et	PROPN
bracis-28381	142	32	al	al	PROPN
bracis-28381	142	33	.	.	PUNCT
bracis-28381	143	1	[	[	X
bracis-28381	143	2	9	9	NUM
bracis-28381	143	3	]	]	SYM
bracis-28381	143	4	.	.	PUNCT
bracis-28381	143	5	4.1	4.1	NUM
bracis-28381	143	6	svr	svr	PROPN
bracis-28381	143	7	model	model	NOUN
bracis-28381	143	8	the	the	DET
bracis-28381	143	9	first	first	ADJ
bracis-28381	143	10	model	model	NOUN
bracis-28381	143	11	evaluated	evaluate	VERB
bracis-28381	143	12	was	be	AUX
bracis-28381	143	13	the	the	DET
bracis-28381	143	14	svr	svr	PROPN
bracis-28381	143	15	.	.	PUNCT
bracis-28381	144	1	in	in	ADP
bracis-28381	144	2	all	all	DET
bracis-28381	144	3	three	three	NUM
bracis-28381	144	4	datasets	dataset	NOUN
bracis-28381	144	5	tested	test	VERB
bracis-28381	144	6	,	,	PUNCT
bracis-28381	144	7	there	there	PRON
bracis-28381	144	8	is	be	VERB
bracis-28381	144	9	a	a	DET
bracis-28381	144	10	gap	gap	NOUN
bracis-28381	144	11	between	between	ADP
bracis-28381	144	12	the	the	DET
bracis-28381	144	13	predicted	predict	VERB
bracis-28381	144	14	close	close	ADJ
bracis-28381	144	15	price	price	NOUN
bracis-28381	144	16	and	and	CCONJ
bracis-28381	144	17	the	the	DET
bracis-28381	144	18	real	real	ADJ
bracis-28381	144	19	one	one	NOUN
bracis-28381	144	20	.	.	PUNCT
bracis-28381	145	1	this	this	PRON
bracis-28381	145	2	can	can	AUX
bracis-28381	145	3	be	be	AUX
bracis-28381	145	4	seen	see	VERB
bracis-28381	145	5	in	in	ADP
bracis-28381	145	6	figs	fig	NOUN
bracis-28381	145	7	.	.	PUNCT
bracis-28381	145	8	 	 	SPACE
bracis-28381	146	1	1	1	NUM
bracis-28381	146	2	,	,	PUNCT
bracis-28381	146	3	2	2	NUM
bracis-28381	146	4	and	and	CCONJ
bracis-28381	146	5	3	3	NUM
bracis-28381	146	6	and	and	CCONJ
bracis-28381	146	7	the	the	DET
bracis-28381	146	8	error	error	NOUN
bracis-28381	146	9	measured	measure	VERB
bracis-28381	146	10	in	in	ADP
bracis-28381	146	11	table	table	NOUN
bracis-28381	146	12	 	 	SPACE
bracis-28381	146	13	2	2	NUM
bracis-28381	146	14	.	.	PUNCT
bracis-28381	146	15	fig	fig	NOUN
bracis-28381	146	16	.	.	PUNCT
bracis-28381	147	1	1	1	X
bracis-28381	147	2	.	.	X
bracis-28381	147	3	predictions	prediction	NOUN
bracis-28381	147	4	made	make	VERB
bracis-28381	147	5	by	by	ADP
bracis-28381	147	6	svr	svr	PROPN
bracis-28381	147	7	model	model	NOUN
bracis-28381	147	8	for	for	ADP
bracis-28381	147	9	the	the	DET
bracis-28381	147	10	axis	axis	ADJ
bracis-28381	147	11	bank	bank	PROPN
bracis-28381	147	12	dataset	dataset	NOUN
bracis-28381	147	13	.	.	PUNCT
bracis-28381	147	14	time	time	NOUN
bracis-28381	147	15	in	in	ADP
bracis-28381	147	16	days	day	NOUN
bracis-28381	147	17	.	.	PUNCT
bracis-28381	148	1	full	full	ADJ
bracis-28381	148	2	size	size	NOUN
bracis-28381	148	3	image	image	NOUN
bracis-28381	148	4	fig	fig	NOUN
bracis-28381	148	5	.	.	PUNCT
bracis-28381	149	1	2	2	X
bracis-28381	149	2	.	.	X
bracis-28381	149	3	predictions	prediction	NOUN
bracis-28381	149	4	made	make	VERB
bracis-28381	149	5	by	by	ADP
bracis-28381	149	6	svr	svr	PROPN
bracis-28381	149	7	model	model	NOUN
bracis-28381	149	8	for	for	SCONJ
bracis-28381	149	9	the	the	DET
bracis-28381	149	10	hcl	hcl	PROPN
bracis-28381	149	11	techonologies	techonologie	NOUN
bracis-28381	149	12	dataset	dataset	VERB
bracis-28381	149	13	.	.	PUNCT
bracis-28381	149	14	time	time	NOUN
bracis-28381	149	15	in	in	ADP
bracis-28381	149	16	days	day	NOUN
bracis-28381	149	17	.	.	PUNCT
bracis-28381	150	1	full	full	ADJ
bracis-28381	150	2	size	size	NOUN
bracis-28381	150	3	image	image	NOUN
bracis-28381	150	4	table	table	NOUN
bracis-28381	150	5	2	2	NUM
bracis-28381	150	6	.	.	PUNCT
bracis-28381	150	7	metrics	metric	NOUN
bracis-28381	150	8	of	of	ADP
bracis-28381	150	9	result	result	NOUN
bracis-28381	150	10	in	in	ADP
bracis-28381	150	11	svr	svr	PROPN
bracis-28381	150	12	modelfull	modelfull	ADJ
bracis-28381	150	13	size	size	NOUN
bracis-28381	150	14	table	table	NOUN
bracis-28381	150	15	it	it	PRON
bracis-28381	150	16	is	be	AUX
bracis-28381	150	17	possible	possible	ADJ
bracis-28381	150	18	to	to	PART
bracis-28381	150	19	observe	observe	VERB
bracis-28381	150	20	that	that	SCONJ
bracis-28381	150	21	the	the	DET
bracis-28381	150	22	predicted	predict	VERB
bracis-28381	150	23	close	close	ADJ
bracis-28381	150	24	prices	price	NOUN
bracis-28381	150	25	from	from	ADP
bracis-28381	150	26	svr	svr	PROPN
bracis-28381	150	27	have	have	VERB
bracis-28381	150	28	a	a	DET
bracis-28381	150	29	smoother	smooth	ADJ
bracis-28381	150	30	line	line	NOUN
bracis-28381	150	31	compared	compare	VERB
bracis-28381	150	32	to	to	ADP
bracis-28381	150	33	the	the	DET
bracis-28381	150	34	real	real	ADJ
bracis-28381	150	35	one	one	NUM
bracis-28381	150	36	.	.	PUNCT
bracis-28381	151	1	as	as	SCONJ
bracis-28381	151	2	the	the	DET
bracis-28381	151	3	svr	svr	PROPN
bracis-28381	151	4	only	only	ADV
bracis-28381	151	5	uses	use	VERB
bracis-28381	151	6	the	the	DET
bracis-28381	151	7	data	datum	NOUN
bracis-28381	151	8	from	from	ADP
bracis-28381	151	9	today	today	NOUN
bracis-28381	151	10	to	to	PART
bracis-28381	151	11	predict	predict	VERB
bracis-28381	151	12	tomorrow	tomorrow	NOUN
bracis-28381	151	13	,	,	PUNCT
bracis-28381	151	14	the	the	DET
bracis-28381	151	15	information	information	NOUN
bracis-28381	151	16	from	from	ADP
bracis-28381	151	17	the	the	DET
bracis-28381	151	18	previous	previous	ADJ
bracis-28381	151	19	days	day	NOUN
bracis-28381	151	20	are	be	AUX
bracis-28381	151	21	not	not	PART
bracis-28381	151	22	used	use	VERB
bracis-28381	151	23	,	,	PUNCT
bracis-28381	151	24	and	and	CCONJ
bracis-28381	151	25	the	the	DET
bracis-28381	151	26	model	model	NOUN
bracis-28381	151	27	can	can	AUX
bracis-28381	151	28	not	not	PART
bracis-28381	151	29	follow	follow	VERB
bracis-28381	151	30	the	the	DET
bracis-28381	151	31	real	real	ADJ
bracis-28381	151	32	close	close	ADJ
bracis-28381	151	33	price	price	NOUN
bracis-28381	151	34	.	.	PUNCT
bracis-28381	152	1	the	the	DET
bracis-28381	152	2	greatest	great	ADJ
bracis-28381	152	3	gap	gap	NOUN
bracis-28381	152	4	is	be	AUX
bracis-28381	152	5	observed	observe	VERB
bracis-28381	152	6	in	in	ADP
bracis-28381	152	7	the	the	DET
bracis-28381	152	8	hcl	hcl	PROPN
bracis-28381	152	9	technologies	technology	NOUN
bracis-28381	152	10	dataset	dataset	NOUN
bracis-28381	152	11	,	,	PUNCT
bracis-28381	152	12	which	which	PRON
bracis-28381	152	13	has	have	VERB
bracis-28381	152	14	a	a	DET
bracis-28381	152	15	bigger	big	ADJ
bracis-28381	152	16	variance	variance	NOUN
bracis-28381	152	17	as	as	SCONJ
bracis-28381	152	18	the	the	DET
bracis-28381	152	19	range	range	NOUN
bracis-28381	152	20	of	of	ADP
bracis-28381	152	21	values	value	NOUN
bracis-28381	152	22	is	be	AUX
bracis-28381	152	23	greater	great	ADJ
bracis-28381	152	24	.	.	PUNCT
bracis-28381	153	1	fig	fig	NOUN
bracis-28381	153	2	.	.	PUNCT
bracis-28381	154	1	3	3	X
bracis-28381	154	2	.	.	X
bracis-28381	154	3	predictions	prediction	NOUN
bracis-28381	154	4	made	make	VERB
bracis-28381	154	5	by	by	ADP
bracis-28381	154	6	svr	svr	PROPN
bracis-28381	154	7	model	model	NOUN
bracis-28381	154	8	for	for	ADP
bracis-28381	154	9	the	the	DET
bracis-28381	154	10	maruti	maruti	PROPN
bracis-28381	154	11	dataset	dataset	PROPN
bracis-28381	154	12	.	.	PUNCT
bracis-28381	154	13	time	time	NOUN
bracis-28381	154	14	in	in	ADP
bracis-28381	154	15	days	day	NOUN
bracis-28381	154	16	.	.	PUNCT
bracis-28381	155	1	full	full	ADJ
bracis-28381	155	2	size	size	NOUN
bracis-28381	155	3	image	image	NOUN
bracis-28381	155	4	4.2	4.2	NUM
bracis-28381	155	5	lstm	lstm	PROPN
bracis-28381	155	6	model	model	NOUN
bracis-28381	155	7	we	we	PRON
bracis-28381	155	8	conduct	conduct	VERB
bracis-28381	155	9	an	an	DET
bracis-28381	155	10	empirical	empirical	ADJ
bracis-28381	155	11	study	study	NOUN
bracis-28381	155	12	to	to	PART
bracis-28381	155	13	define	define	VERB
bracis-28381	155	14	the	the	DET
bracis-28381	155	15	best	good	ADJ
bracis-28381	155	16	lstm	lstm	ADJ
bracis-28381	155	17	architecture	architecture	NOUN
bracis-28381	155	18	to	to	PART
bracis-28381	155	19	reach	reach	VERB
bracis-28381	155	20	the	the	DET
bracis-28381	155	21	highest	high	ADJ
bracis-28381	155	22	mape	mape	NOUN
bracis-28381	155	23	in	in	ADP
bracis-28381	155	24	the	the	DET
bracis-28381	155	25	tamo	tamo	PROPN
bracis-28381	155	26	dataset	dataset	PROPN
bracis-28381	155	27	.	.	PUNCT
bracis-28381	156	1	different	different	ADJ
bracis-28381	156	2	models	model	NOUN
bracis-28381	156	3	were	be	AUX
bracis-28381	156	4	evaluated	evaluate	VERB
bracis-28381	156	5	by	by	ADP
bracis-28381	156	6	varying	vary	VERB
bracis-28381	156	7	the	the	DET
bracis-28381	156	8	size	size	NOUN
bracis-28381	156	9	of	of	ADP
bracis-28381	156	10	the	the	DET
bracis-28381	156	11	layer	layer	NOUN
bracis-28381	156	12	.	.	PUNCT
bracis-28381	157	1	after	after	ADP
bracis-28381	157	2	that	that	PRON
bracis-28381	157	3	,	,	PUNCT
bracis-28381	157	4	the	the	DET
bracis-28381	157	5	model	model	NOUN
bracis-28381	157	6	with	with	ADP
bracis-28381	157	7	the	the	DET
bracis-28381	157	8	best	good	ADJ
bracis-28381	157	9	results	result	NOUN
bracis-28381	157	10	in	in	ADP
bracis-28381	157	11	the	the	DET
bracis-28381	157	12	tamo	tamo	PROPN
bracis-28381	157	13	data	datum	NOUN
bracis-28381	157	14	was	be	AUX
bracis-28381	157	15	chosen	choose	VERB
bracis-28381	157	16	.	.	PUNCT
bracis-28381	158	1	as	as	SCONJ
bracis-28381	158	2	shown	show	VERB
bracis-28381	158	3	in	in	ADP
bracis-28381	158	4	table	table	NOUN
bracis-28381	158	5	 	 	SPACE
bracis-28381	158	6	3	3	NUM
bracis-28381	158	7	,	,	PUNCT
bracis-28381	158	8	the	the	DET
bracis-28381	158	9	model	model	NOUN
bracis-28381	158	10	with	with	ADP
bracis-28381	158	11	the	the	DET
bracis-28381	158	12	slowest	slow	ADJ
bracis-28381	158	13	result	result	NOUN
bracis-28381	158	14	has	have	VERB
bracis-28381	158	15	six	six	NUM
bracis-28381	158	16	layers	layer	NOUN
bracis-28381	158	17	.	.	PUNCT
bracis-28381	159	1	all	all	DET
bracis-28381	159	2	these	these	DET
bracis-28381	159	3	layers	layer	NOUN
bracis-28381	159	4	were	be	AUX
bracis-28381	159	5	intercalated	intercalate	VERB
bracis-28381	159	6	with	with	ADP
bracis-28381	159	7	dropout	dropout	NOUN
bracis-28381	159	8	layers	layer	NOUN
bracis-28381	159	9	of	of	ADP
bracis-28381	159	10	20	20	NUM
bracis-28381	159	11	%	%	NOUN
bracis-28381	159	12	to	to	PART
bracis-28381	159	13	minimize	minimize	VERB
bracis-28381	159	14	the	the	DET
bracis-28381	159	15	chance	chance	NOUN
bracis-28381	159	16	of	of	ADP
bracis-28381	159	17	overfitting	overfitte	VERB
bracis-28381	159	18	.	.	PUNCT
bracis-28381	160	1	the	the	DET
bracis-28381	160	2	best	good	ADJ
bracis-28381	160	3	lstm	lstm	ADJ
bracis-28381	160	4	architecture	architecture	NOUN
bracis-28381	160	5	can	can	AUX
bracis-28381	160	6	be	be	AUX
bracis-28381	160	7	seen	see	VERB
bracis-28381	160	8	in	in	ADP
bracis-28381	160	9	fig	fig	NOUN
bracis-28381	160	10	.	.	PUNCT
bracis-28381	160	11	 	 	SPACE
bracis-28381	161	1	4	4	NUM
bracis-28381	161	2	.	.	X
bracis-28381	161	3	fig	fig	NOUN
bracis-28381	161	4	.	.	PUNCT
bracis-28381	162	1	4	4	X
bracis-28381	162	2	.	.	X
bracis-28381	162	3	lstm	lstm	ADJ
bracis-28381	162	4	architecture	architecture	NOUN
bracis-28381	162	5	with	with	ADP
bracis-28381	162	6	six	six	NUM
bracis-28381	162	7	layers	layer	NOUN
bracis-28381	162	8	with	with	ADP
bracis-28381	162	9	75	75	NUM
bracis-28381	162	10	unities	unity	NOUN
bracis-28381	162	11	in	in	ADP
bracis-28381	162	12	each	each	DET
bracis-28381	162	13	one	one	NUM
bracis-28381	162	14	.	.	PUNCT
bracis-28381	163	1	full	full	ADJ
bracis-28381	163	2	size	size	NOUN
bracis-28381	163	3	image	image	NOUN
bracis-28381	163	4	as	as	SCONJ
bracis-28381	163	5	seen	see	VERB
bracis-28381	163	6	in	in	ADP
bracis-28381	163	7	figs	fig	NOUN
bracis-28381	163	8	.	.	PUNCT
bracis-28381	163	9	 	 	SPACE
bracis-28381	163	10	5	5	NUM
bracis-28381	163	11	,	,	PUNCT
bracis-28381	163	12	6	6	NUM
bracis-28381	163	13	and	and	CCONJ
bracis-28381	163	14	7	7	NUM
bracis-28381	163	15	,	,	PUNCT
bracis-28381	163	16	the	the	DET
bracis-28381	163	17	lstm	lstm	NOUN
bracis-28381	163	18	model	model	NOUN
bracis-28381	163	19	could	could	AUX
bracis-28381	163	20	predict	predict	VERB
bracis-28381	163	21	the	the	DET
bracis-28381	163	22	closest	close	ADJ
bracis-28381	163	23	stocks	stock	NOUN
bracis-28381	163	24	value	value	NOUN
bracis-28381	163	25	compared	compare	VERB
bracis-28381	163	26	to	to	ADP
bracis-28381	163	27	the	the	DET
bracis-28381	163	28	svr	svr	PROPN
bracis-28381	163	29	one	one	NUM
bracis-28381	163	30	.	.	PUNCT
bracis-28381	164	1	this	this	DET
bracis-28381	164	2	scenario	scenario	NOUN
bracis-28381	164	3	can	can	AUX
bracis-28381	164	4	be	be	AUX
bracis-28381	164	5	seen	see	VERB
bracis-28381	164	6	in	in	ADP
bracis-28381	164	7	table	table	NOUN
bracis-28381	164	8	 	 	SPACE
bracis-28381	164	9	4	4	NUM
bracis-28381	164	10	,	,	PUNCT
bracis-28381	164	11	where	where	SCONJ
bracis-28381	164	12	the	the	DET
bracis-28381	164	13	reported	report	VERB
bracis-28381	164	14	error	error	NOUN
bracis-28381	164	15	are	be	AUX
bracis-28381	164	16	below	below	ADP
bracis-28381	164	17	the	the	DET
bracis-28381	164	18	ones	one	NOUN
bracis-28381	164	19	reported	report	VERB
bracis-28381	164	20	in	in	ADP
bracis-28381	164	21	table	table	NOUN
bracis-28381	164	22	 	 	SPACE
bracis-28381	164	23	2	2	NUM
bracis-28381	164	24	.	.	NOUN
bracis-28381	164	25	mape	mape	NOUN
bracis-28381	164	26	below	below	ADP
bracis-28381	164	27	three	three	NUM
bracis-28381	164	28	shows	show	VERB
bracis-28381	164	29	that	that	SCONJ
bracis-28381	164	30	the	the	DET
bracis-28381	164	31	distance	distance	NOUN
bracis-28381	164	32	between	between	ADP
bracis-28381	164	33	the	the	DET
bracis-28381	164	34	predicted	predict	VERB
bracis-28381	164	35	close	close	ADJ
bracis-28381	164	36	price	price	NOUN
bracis-28381	164	37	and	and	CCONJ
bracis-28381	164	38	the	the	DET
bracis-28381	164	39	real	real	ADJ
bracis-28381	164	40	one	one	NOUN
bracis-28381	164	41	is	be	AUX
bracis-28381	164	42	below	below	ADP
bracis-28381	164	43	3	3	NUM
bracis-28381	164	44	.	.	PUNCT
bracis-28381	164	45	fig	fig	NOUN
bracis-28381	164	46	.	.	PUNCT
bracis-28381	165	1	5	5	X
bracis-28381	165	2	.	.	X
bracis-28381	165	3	predictions	prediction	NOUN
bracis-28381	165	4	made	make	VERB
bracis-28381	165	5	by	by	ADP
bracis-28381	165	6	lstm	lstm	NOUN
bracis-28381	165	7	model	model	NOUN
bracis-28381	165	8	for	for	ADP
bracis-28381	165	9	the	the	DET
bracis-28381	165	10	axis	axis	ADJ
bracis-28381	165	11	bank	bank	PROPN
bracis-28381	165	12	dataset	dataset	NOUN
bracis-28381	165	13	.	.	PUNCT
bracis-28381	165	14	time	time	NOUN
bracis-28381	165	15	in	in	ADP
bracis-28381	165	16	days	day	NOUN
bracis-28381	165	17	.	.	PUNCT
bracis-28381	166	1	full	full	ADJ
bracis-28381	166	2	size	size	NOUN
bracis-28381	166	3	image	image	NOUN
bracis-28381	166	4	fig	fig	NOUN
bracis-28381	166	5	.	.	PUNCT
bracis-28381	167	1	6	6	X
bracis-28381	167	2	.	.	X
bracis-28381	167	3	predictions	prediction	NOUN
bracis-28381	167	4	made	make	VERB
bracis-28381	167	5	by	by	ADP
bracis-28381	167	6	lstm	lstm	NOUN
bracis-28381	167	7	model	model	NOUN
bracis-28381	167	8	for	for	SCONJ
bracis-28381	167	9	the	the	DET
bracis-28381	167	10	hcl	hcl	PROPN
bracis-28381	167	11	technologies	technology	NOUN
bracis-28381	167	12	dataset	dataset	VERB
bracis-28381	167	13	.	.	PUNCT
bracis-28381	167	14	time	time	NOUN
bracis-28381	167	15	in	in	ADP
bracis-28381	167	16	days	day	NOUN
bracis-28381	167	17	.	.	PUNCT
bracis-28381	168	1	full	full	ADJ
bracis-28381	168	2	size	size	NOUN
bracis-28381	168	3	image	image	NOUN
bracis-28381	168	4	table	table	NOUN
bracis-28381	168	5	3	3	NUM
bracis-28381	168	6	.	.	NUM
bracis-28381	168	7	reported	report	VERB
bracis-28381	168	8	metrics	metric	NOUN
bracis-28381	168	9	of	of	ADP
bracis-28381	168	10	an	an	DET
bracis-28381	168	11	empirical	empirical	ADJ
bracis-28381	168	12	study	study	NOUN
bracis-28381	168	13	with	with	ADP
bracis-28381	168	14	lstm	lstm	NOUN
bracis-28381	168	15	models	model	NOUN
bracis-28381	168	16	.	.	PUNCT
bracis-28381	169	1	the	the	DET
bracis-28381	169	2	model	model	NOUN
bracis-28381	169	3	with	with	ADP
bracis-28381	169	4	smaller	small	ADJ
bracis-28381	169	5	mape	mape	NOUN
bracis-28381	169	6	,	,	PUNCT
bracis-28381	169	7	rmse	rmse	NOUN
bracis-28381	169	8	,	,	PUNCT
bracis-28381	169	9	and	and	CCONJ
bracis-28381	169	10	mae	mae	PROPN
bracis-28381	169	11	is	be	AUX
bracis-28381	169	12	with	with	ADP
bracis-28381	169	13	six	six	NUM
bracis-28381	169	14	layers.full	layers.full	NUM
bracis-28381	169	15	size	size	NOUN
bracis-28381	169	16	table	table	NOUN
bracis-28381	169	17	fig	fig	NOUN
bracis-28381	169	18	.	.	PUNCT
bracis-28381	170	1	7	7	X
bracis-28381	170	2	.	.	X
bracis-28381	170	3	predictions	prediction	NOUN
bracis-28381	170	4	made	make	VERB
bracis-28381	170	5	by	by	ADP
bracis-28381	170	6	lstm	lstm	NOUN
bracis-28381	170	7	model	model	NOUN
bracis-28381	170	8	for	for	ADP
bracis-28381	170	9	the	the	DET
bracis-28381	170	10	maruti	maruti	PROPN
bracis-28381	170	11	dataset	dataset	PROPN
bracis-28381	170	12	.	.	PUNCT
bracis-28381	171	1	time	time	NOUN
bracis-28381	171	2	in	in	ADP
bracis-28381	171	3	days	day	NOUN
bracis-28381	171	4	.	.	PUNCT
bracis-28381	172	1	full	full	ADJ
bracis-28381	172	2	size	size	NOUN
bracis-28381	172	3	image	image	NOUN
bracis-28381	172	4	table	table	NOUN
bracis-28381	172	5	4	4	NUM
bracis-28381	172	6	.	.	PUNCT
bracis-28381	172	7	metrics	metric	NOUN
bracis-28381	172	8	of	of	ADP
bracis-28381	172	9	result	result	NOUN
bracis-28381	172	10	in	in	ADP
bracis-28381	172	11	lstm	lstm	PROPN
bracis-28381	172	12	modelfull	modelfull	ADJ
bracis-28381	172	13	size	size	NOUN
bracis-28381	172	14	table	table	NOUN
bracis-28381	172	15	compared	compare	VERB
bracis-28381	172	16	to	to	ADP
bracis-28381	172	17	the	the	DET
bracis-28381	172	18	svr	svr	PROPN
bracis-28381	172	19	models	model	NOUN
bracis-28381	172	20	,	,	PUNCT
bracis-28381	172	21	the	the	DET
bracis-28381	172	22	lstm	lstm	NOUN
bracis-28381	172	23	models	model	NOUN
bracis-28381	172	24	predict	predict	VERB
bracis-28381	172	25	the	the	DET
bracis-28381	172	26	closed	closed	ADJ
bracis-28381	172	27	price	price	NOUN
bracis-28381	172	28	near	near	ADP
bracis-28381	172	29	the	the	DET
bracis-28381	172	30	real	real	ADJ
bracis-28381	172	31	one	one	NUM
bracis-28381	172	32	.	.	PUNCT
bracis-28381	173	1	one	one	NUM
bracis-28381	173	2	of	of	ADP
bracis-28381	173	3	the	the	DET
bracis-28381	173	4	reasons	reason	NOUN
bracis-28381	173	5	is	be	AUX
bracis-28381	173	6	the	the	DET
bracis-28381	173	7	number	number	NOUN
bracis-28381	173	8	of	of	ADP
bracis-28381	173	9	days	day	NOUN
bracis-28381	173	10	used	use	VERB
bracis-28381	173	11	for	for	ADP
bracis-28381	173	12	each	each	DET
bracis-28381	173	13	model	model	NOUN
bracis-28381	173	14	:	:	PUNCT
bracis-28381	173	15	while	while	SCONJ
bracis-28381	173	16	the	the	DET
bracis-28381	173	17	svr	svr	PROPN
bracis-28381	173	18	uses	use	VERB
bracis-28381	173	19	only	only	ADV
bracis-28381	173	20	one	one	NUM
bracis-28381	173	21	day	day	NOUN
bracis-28381	173	22	,	,	PUNCT
bracis-28381	173	23	the	the	DET
bracis-28381	173	24	lstm	lstm	NOUN
bracis-28381	173	25	uses	use	VERB
bracis-28381	173	26	12	12	NUM
bracis-28381	173	27	  	  	SPACE
bracis-28381	173	28	days	day	NOUN
bracis-28381	173	29	.	.	PUNCT
bracis-28381	174	1	similar	similar	ADJ
bracis-28381	174	2	to	to	ADP
bracis-28381	174	3	the	the	DET
bracis-28381	174	4	svr	svr	PROPN
bracis-28381	174	5	model	model	PROPN
bracis-28381	174	6	,	,	PUNCT
bracis-28381	174	7	hcl	hcl	PROPN
bracis-28381	174	8	technologies	technology	NOUN
bracis-28381	174	9	also	also	ADV
bracis-28381	174	10	presented	present	VERB
bracis-28381	174	11	the	the	DET
bracis-28381	174	12	highest	high	ADJ
bracis-28381	174	13	gap	gap	NOUN
bracis-28381	174	14	.	.	PUNCT
bracis-28381	175	1	the	the	DET
bracis-28381	175	2	lstm	lstm	PROPN
bracis-28381	175	3	model	model	NOUN
bracis-28381	175	4	could	could	AUX
bracis-28381	175	5	follow	follow	VERB
bracis-28381	175	6	the	the	DET
bracis-28381	175	7	real	real	ADJ
bracis-28381	175	8	close	close	ADJ
bracis-28381	175	9	price	price	NOUN
bracis-28381	175	10	curve	curve	NOUN
bracis-28381	175	11	when	when	SCONJ
bracis-28381	175	12	the	the	DET
bracis-28381	175	13	variance	variance	NOUN
bracis-28381	175	14	is	be	AUX
bracis-28381	175	15	small	small	ADJ
bracis-28381	175	16	,	,	PUNCT
bracis-28381	175	17	although	although	SCONJ
bracis-28381	175	18	,	,	PUNCT
bracis-28381	175	19	when	when	SCONJ
bracis-28381	175	20	it	it	PRON
bracis-28381	175	21	is	be	AUX
bracis-28381	175	22	high	high	ADJ
bracis-28381	175	23	,	,	PUNCT
bracis-28381	175	24	the	the	DET
bracis-28381	175	25	model	model	NOUN
bracis-28381	175	26	could	could	AUX
bracis-28381	175	27	not	not	PART
bracis-28381	175	28	follow	follow	VERB
bracis-28381	175	29	the	the	DET
bracis-28381	175	30	real	real	ADJ
bracis-28381	175	31	curve	curve	NOUN
bracis-28381	175	32	and	and	CCONJ
bracis-28381	175	33	presented	present	VERB
bracis-28381	175	34	a	a	DET
bracis-28381	175	35	smoother	smooth	ADJ
bracis-28381	175	36	behavior	behavior	NOUN
bracis-28381	175	37	.	.	PUNCT
bracis-28381	176	1	4.3	4.3	NUM
bracis-28381	176	2	cnn	cnn	PROPN
bracis-28381	176	3	-	-	PUNCT
bracis-28381	176	4	lstm	lstm	PROPN
bracis-28381	176	5	model	model	NOUN
bracis-28381	176	6	the	the	DET
bracis-28381	176	7	last	last	ADJ
bracis-28381	176	8	model	model	NOUN
bracis-28381	176	9	build	build	NOUN
bracis-28381	176	10	was	be	AUX
bracis-28381	176	11	with	with	ADP
bracis-28381	176	12	a	a	DET
bracis-28381	176	13	combination	combination	NOUN
bracis-28381	176	14	of	of	ADP
bracis-28381	176	15	cnn	cnn	PROPN
bracis-28381	176	16	and	and	CCONJ
bracis-28381	176	17	lstm	lstm	PROPN
bracis-28381	176	18	.	.	PUNCT
bracis-28381	177	1	this	this	DET
bracis-28381	177	2	model	model	NOUN
bracis-28381	177	3	has	have	VERB
bracis-28381	177	4	two	two	NUM
bracis-28381	177	5	1d	1d	NUM
bracis-28381	177	6	convolution	convolution	NOUN
bracis-28381	177	7	layers	layer	NOUN
bracis-28381	177	8	and	and	CCONJ
bracis-28381	177	9	was	be	AUX
bracis-28381	177	10	defined	define	VERB
bracis-28381	177	11	with	with	ADP
bracis-28381	177	12	empirical	empirical	ADJ
bracis-28381	177	13	tests	test	NOUN
bracis-28381	177	14	,	,	PUNCT
bracis-28381	177	15	stacking	stack	VERB
bracis-28381	177	16	the	the	DET
bracis-28381	177	17	convolutional	convolutional	ADJ
bracis-28381	177	18	layers	layer	NOUN
bracis-28381	177	19	before	before	ADP
bracis-28381	177	20	the	the	DET
bracis-28381	177	21	lstm	lstm	NOUN
bracis-28381	177	22	with	with	ADP
bracis-28381	177	23	six	six	NUM
bracis-28381	177	24	layers	layer	NOUN
bracis-28381	177	25	and	and	CCONJ
bracis-28381	177	26	dropout	dropout	NOUN
bracis-28381	177	27	defined	define	VERB
bracis-28381	177	28	in	in	ADP
bracis-28381	177	29	the	the	DET
bracis-28381	177	30	experiments	experiment	NOUN
bracis-28381	177	31	presented	present	VERB
bracis-28381	177	32	in	in	ADP
bracis-28381	177	33	table	table	NOUN
bracis-28381	177	34	 	 	SPACE
bracis-28381	177	35	3	3	NUM
bracis-28381	177	36	.	.	PUNCT
bracis-28381	178	1	the	the	DET
bracis-28381	178	2	cnn	cnn	PROPN
bracis-28381	178	3	-	-	PUNCT
bracis-28381	178	4	lstm	lstm	ADJ
bracis-28381	178	5	architecture	architecture	NOUN
bracis-28381	178	6	is	be	AUX
bracis-28381	178	7	seen	see	VERB
bracis-28381	178	8	in	in	ADP
bracis-28381	178	9	fig	fig	NOUN
bracis-28381	178	10	.	.	PUNCT
bracis-28381	178	11	 	 	SPACE
bracis-28381	179	1	8	8	NUM
bracis-28381	179	2	.	.	PUNCT
bracis-28381	179	3	fig	fig	NOUN
bracis-28381	179	4	.	.	PUNCT
bracis-28381	180	1	8	8	X
bracis-28381	180	2	.	.	X
bracis-28381	181	1	cnn	cnn	PROPN
bracis-28381	181	2	-	-	PUNCT
bracis-28381	181	3	lstm	lstm	ADJ
bracis-28381	181	4	architecture	architecture	NOUN
bracis-28381	181	5	with	with	ADP
bracis-28381	181	6	a	a	DET
bracis-28381	181	7	convolutional	convolutional	ADJ
bracis-28381	181	8	layer	layer	NOUN
bracis-28381	181	9	with	with	ADP
bracis-28381	181	10	32	32	NUM
bracis-28381	181	11	filters	filter	NOUN
bracis-28381	181	12	,	,	PUNCT
bracis-28381	181	13	kernel	kernel	NOUN
bracis-28381	181	14	size	size	NOUN
bracis-28381	181	15	equal	equal	ADJ
bracis-28381	181	16	to	to	ADP
bracis-28381	181	17	8	8	NUM
bracis-28381	181	18	and	and	CCONJ
bracis-28381	181	19	relu	relu	NOUN
bracis-28381	181	20	activation	activation	NOUN
bracis-28381	181	21	followed	follow	VERB
bracis-28381	181	22	by	by	ADP
bracis-28381	181	23	six	six	NUM
bracis-28381	181	24	lstm	lstm	ADJ
bracis-28381	181	25	layers	layer	NOUN
bracis-28381	181	26	with	with	ADP
bracis-28381	181	27	75	75	NUM
bracis-28381	181	28	unities	unity	NOUN
bracis-28381	181	29	in	in	ADP
bracis-28381	181	30	each	each	DET
bracis-28381	181	31	one	one	NUM
bracis-28381	181	32	.	.	PUNCT
bracis-28381	182	1	full	full	ADJ
bracis-28381	182	2	size	size	NOUN
bracis-28381	182	3	image	image	NOUN
bracis-28381	182	4	as	as	SCONJ
bracis-28381	182	5	can	can	AUX
bracis-28381	182	6	be	be	AUX
bracis-28381	182	7	seen	see	VERB
bracis-28381	182	8	in	in	ADP
bracis-28381	182	9	figs	fig	NOUN
bracis-28381	182	10	.	.	PUNCT
bracis-28381	182	11	 	 	SPACE
bracis-28381	183	1	9	9	NUM
bracis-28381	183	2	,	,	PUNCT
bracis-28381	183	3	10	10	NUM
bracis-28381	183	4	and	and	CCONJ
bracis-28381	183	5	11	11	NUM
bracis-28381	183	6	,	,	PUNCT
bracis-28381	183	7	the	the	DET
bracis-28381	183	8	line	line	NOUN
bracis-28381	183	9	that	that	PRON
bracis-28381	183	10	represents	represent	VERB
bracis-28381	183	11	the	the	DET
bracis-28381	183	12	prediction	prediction	NOUN
bracis-28381	183	13	almost	almost	ADV
bracis-28381	183	14	can	can	AUX
bracis-28381	183	15	not	not	PART
bracis-28381	183	16	be	be	AUX
bracis-28381	183	17	seen	see	VERB
bracis-28381	183	18	,	,	PUNCT
bracis-28381	183	19	which	which	PRON
bracis-28381	183	20	means	mean	VERB
bracis-28381	183	21	that	that	SCONJ
bracis-28381	183	22	the	the	DET
bracis-28381	183	23	predicted	predict	VERB
bracis-28381	183	24	stock	stock	NOUN
bracis-28381	183	25	price	price	NOUN
bracis-28381	183	26	is	be	AUX
bracis-28381	183	27	very	very	ADV
bracis-28381	183	28	close	close	ADJ
bracis-28381	183	29	to	to	ADP
bracis-28381	183	30	the	the	DET
bracis-28381	183	31	actual	actual	ADJ
bracis-28381	183	32	value	value	NOUN
bracis-28381	183	33	.	.	PUNCT
bracis-28381	184	1	some	some	DET
bracis-28381	184	2	parts	part	NOUN
bracis-28381	184	3	of	of	ADP
bracis-28381	184	4	the	the	DET
bracis-28381	184	5	graphic	graphic	NOUN
bracis-28381	184	6	have	have	VERB
bracis-28381	184	7	a	a	DET
bracis-28381	184	8	peak	peak	NOUN
bracis-28381	184	9	,	,	PUNCT
bracis-28381	184	10	but	but	CCONJ
bracis-28381	184	11	this	this	PRON
bracis-28381	184	12	does	do	AUX
bracis-28381	184	13	not	not	PART
bracis-28381	184	14	affect	affect	VERB
bracis-28381	184	15	the	the	DET
bracis-28381	184	16	result	result	NOUN
bracis-28381	184	17	in	in	ADP
bracis-28381	184	18	general	general	ADJ
bracis-28381	184	19	.	.	PUNCT
bracis-28381	185	1	the	the	DET
bracis-28381	185	2	errors	error	NOUN
bracis-28381	185	3	can	can	AUX
bracis-28381	185	4	be	be	AUX
bracis-28381	185	5	seen	see	VERB
bracis-28381	185	6	in	in	ADP
bracis-28381	185	7	table	table	NOUN
bracis-28381	185	8	 	 	SPACE
bracis-28381	185	9	5	5	NUM
bracis-28381	185	10	.	.	PUNCT
bracis-28381	185	11	table	table	NOUN
bracis-28381	185	12	5	5	NUM
bracis-28381	185	13	.	.	PUNCT
bracis-28381	186	1	metrics	metric	NOUN
bracis-28381	186	2	of	of	ADP
bracis-28381	186	3	result	result	NOUN
bracis-28381	186	4	in	in	ADP
bracis-28381	186	5	cnn	cnn	PROPN
bracis-28381	186	6	-	-	PUNCT
bracis-28381	186	7	lstm	lstm	ADJ
bracis-28381	186	8	modelfull	modelfull	ADJ
bracis-28381	186	9	size	size	NOUN
bracis-28381	186	10	table	table	NOUN
bracis-28381	186	11	as	as	ADP
bracis-28381	186	12	tables	table	NOUN
bracis-28381	186	13	 	 	SPACE
bracis-28381	186	14	4	4	NUM
bracis-28381	186	15	and	and	CCONJ
bracis-28381	186	16	2	2	NUM
bracis-28381	186	17	show	show	NOUN
bracis-28381	186	18	,	,	PUNCT
bracis-28381	186	19	a	a	DET
bracis-28381	186	20	smaller	small	ADJ
bracis-28381	186	21	mape	mape	NOUN
bracis-28381	186	22	is	be	AUX
bracis-28381	186	23	reported	report	VERB
bracis-28381	186	24	compared	compare	VERB
bracis-28381	186	25	to	to	ADP
bracis-28381	186	26	the	the	DET
bracis-28381	186	27	one	one	NOUN
bracis-28381	186	28	reported	report	VERB
bracis-28381	186	29	by	by	ADP
bracis-28381	186	30	hiransha	hiransha	PROPN
bracis-28381	186	31	et	et	PROPN
bracis-28381	186	32	al	al	PROPN
bracis-28381	186	33	.	.	PUNCT
bracis-28381	187	1	[	[	X
bracis-28381	187	2	9	9	NUM
bracis-28381	187	3	]	]	PUNCT
bracis-28381	187	4	.	.	PUNCT
bracis-28381	188	1	while	while	SCONJ
bracis-28381	188	2	hiransha	hiransha	PROPN
bracis-28381	188	3	et	et	PROPN
bracis-28381	188	4	al	al	PROPN
bracis-28381	188	5	.	.	PUNCT
bracis-28381	189	1	[	[	X
bracis-28381	189	2	9	9	NUM
bracis-28381	189	3	]	]	PUNCT
bracis-28381	189	4	reached	reach	VERB
bracis-28381	189	5	the	the	DET
bracis-28381	189	6	mape	mape	NOUN
bracis-28381	189	7	of	of	ADP
bracis-28381	189	8	4.88	4.88	NUM
bracis-28381	189	9	,	,	PUNCT
bracis-28381	189	10	the	the	DET
bracis-28381	189	11	proposed	propose	VERB
bracis-28381	189	12	cnn	cnn	PROPN
bracis-28381	189	13	-	-	PUNCT
bracis-28381	189	14	lstm	lstm	PROPN
bracis-28381	189	15	model	model	NOUN
bracis-28381	189	16	reached	reach	VERB
bracis-28381	189	17	1.83	1.83	NUM
bracis-28381	189	18	.	.	PUNCT
bracis-28381	190	1	so	so	ADV
bracis-28381	190	2	,	,	PUNCT
bracis-28381	190	3	as	as	SCONJ
bracis-28381	190	4	can	can	AUX
bracis-28381	190	5	be	be	AUX
bracis-28381	190	6	seen	see	VERB
bracis-28381	190	7	in	in	ADP
bracis-28381	190	8	fig	fig	NOUN
bracis-28381	190	9	.	.	PUNCT
bracis-28381	190	10	 	 	SPACE
bracis-28381	191	1	12	12	NUM
bracis-28381	191	2	,	,	PUNCT
bracis-28381	191	3	on	on	ADP
bracis-28381	191	4	a	a	DET
bracis-28381	191	5	large	large	ADJ
bracis-28381	191	6	scale	scale	NOUN
bracis-28381	191	7	,	,	PUNCT
bracis-28381	191	8	all	all	DET
bracis-28381	191	9	the	the	DET
bracis-28381	191	10	models	model	NOUN
bracis-28381	191	11	follow	follow	VERB
bracis-28381	191	12	the	the	DET
bracis-28381	191	13	trend	trend	NOUN
bracis-28381	191	14	of	of	ADP
bracis-28381	191	15	the	the	DET
bracis-28381	191	16	stock	stock	NOUN
bracis-28381	191	17	market	market	NOUN
bracis-28381	191	18	,	,	PUNCT
bracis-28381	191	19	but	but	CCONJ
bracis-28381	191	20	,	,	PUNCT
bracis-28381	191	21	in	in	ADP
bracis-28381	191	22	a	a	DET
bracis-28381	191	23	zoomed	zoomed	ADJ
bracis-28381	191	24	view	view	NOUN
bracis-28381	191	25	of	of	ADP
bracis-28381	191	26	the	the	DET
bracis-28381	191	27	predictions	prediction	NOUN
bracis-28381	191	28	,	,	PUNCT
bracis-28381	191	29	the	the	DET
bracis-28381	191	30	models	model	NOUN
bracis-28381	191	31	are	be	AUX
bracis-28381	191	32	not	not	PART
bracis-28381	191	33	accurate	accurate	ADJ
bracis-28381	191	34	.	.	PUNCT
bracis-28381	192	1	we	we	PRON
bracis-28381	192	2	improved	improve	VERB
bracis-28381	192	3	the	the	DET
bracis-28381	192	4	curve	curve	NOUN
bracis-28381	192	5	accuracy	accuracy	NOUN
bracis-28381	192	6	by	by	ADP
bracis-28381	192	7	adding	add	VERB
bracis-28381	192	8	cnn	cnn	PROPN
bracis-28381	192	9	in	in	ADP
bracis-28381	192	10	the	the	DET
bracis-28381	192	11	lstm	lstm	PROPN
bracis-28381	192	12	model	model	NOUN
bracis-28381	192	13	,	,	PUNCT
bracis-28381	192	14	which	which	PRON
bracis-28381	192	15	forced	force	VERB
bracis-28381	192	16	the	the	DET
bracis-28381	192	17	curve	curve	NOUN
bracis-28381	192	18	to	to	PART
bracis-28381	192	19	stay	stay	VERB
bracis-28381	192	20	softer	soft	ADJ
bracis-28381	192	21	,	,	PUNCT
bracis-28381	192	22	following	follow	VERB
bracis-28381	192	23	the	the	DET
bracis-28381	192	24	close	close	ADJ
bracis-28381	192	25	price	price	NOUN
bracis-28381	192	26	.	.	PUNCT
bracis-28381	193	1	therefore	therefore	ADV
bracis-28381	193	2	,	,	PUNCT
bracis-28381	193	3	the	the	DET
bracis-28381	193	4	model	model	NOUN
bracis-28381	193	5	with	with	ADP
bracis-28381	193	6	cnn	cnn	PROPN
bracis-28381	193	7	succeeds	succeed	VERB
bracis-28381	193	8	in	in	ADP
bracis-28381	193	9	extracting	extract	VERB
bracis-28381	193	10	features	feature	NOUN
bracis-28381	193	11	from	from	ADP
bracis-28381	193	12	the	the	DET
bracis-28381	193	13	data	datum	NOUN
bracis-28381	193	14	and	and	CCONJ
bracis-28381	193	15	improving	improve	VERB
bracis-28381	193	16	the	the	DET
bracis-28381	193	17	results	result	NOUN
bracis-28381	193	18	.	.	PUNCT
bracis-28381	194	1	fig	fig	NOUN
bracis-28381	194	2	.	.	PUNCT
bracis-28381	195	1	9	9	X
bracis-28381	195	2	.	.	X
bracis-28381	195	3	predictions	prediction	NOUN
bracis-28381	195	4	made	make	VERB
bracis-28381	195	5	by	by	ADP
bracis-28381	195	6	cnn	cnn	PROPN
bracis-28381	195	7	-	-	PUNCT
bracis-28381	195	8	lstm	lstm	PROPN
bracis-28381	195	9	model	model	NOUN
bracis-28381	195	10	in	in	ADP
bracis-28381	195	11	axis	axis	PROPN
bracis-28381	195	12	bank	bank	PROPN
bracis-28381	195	13	dataset	dataset	NOUN
bracis-28381	195	14	.	.	PUNCT
bracis-28381	195	15	time	time	NOUN
bracis-28381	195	16	in	in	ADP
bracis-28381	195	17	days	day	NOUN
bracis-28381	195	18	.	.	PUNCT
bracis-28381	196	1	full	full	ADJ
bracis-28381	196	2	size	size	NOUN
bracis-28381	196	3	image	image	NOUN
bracis-28381	196	4	fig	fig	NOUN
bracis-28381	196	5	.	.	PUNCT
bracis-28381	197	1	10	10	NUM
bracis-28381	197	2	.	.	PUNCT
bracis-28381	198	1	predictions	prediction	NOUN
bracis-28381	198	2	made	make	VERB
bracis-28381	198	3	by	by	ADP
bracis-28381	198	4	cnn	cnn	PROPN
bracis-28381	198	5	-	-	PUNCT
bracis-28381	198	6	lstm	lstm	PROPN
bracis-28381	198	7	model	model	NOUN
bracis-28381	198	8	in	in	ADP
bracis-28381	198	9	hcl	hcl	PROPN
bracis-28381	198	10	technologies	technology	NOUN
bracis-28381	198	11	dataset	dataset	VERB
bracis-28381	198	12	.	.	PUNCT
bracis-28381	198	13	time	time	NOUN
bracis-28381	198	14	in	in	ADP
bracis-28381	198	15	days	day	NOUN
bracis-28381	198	16	.	.	PUNCT
bracis-28381	199	1	full	full	ADJ
bracis-28381	199	2	size	size	NOUN
bracis-28381	199	3	image	image	NOUN
bracis-28381	199	4	4.4	4.4	NUM
bracis-28381	199	5	results	result	VERB
bracis-28381	199	6	discussion	discussion	NOUN
bracis-28381	199	7	as	as	SCONJ
bracis-28381	199	8	seen	see	VERB
bracis-28381	199	9	in	in	ADP
bracis-28381	199	10	table	table	NOUN
bracis-28381	199	11	 	 	SPACE
bracis-28381	199	12	6	6	NUM
bracis-28381	199	13	,	,	PUNCT
bracis-28381	199	14	the	the	DET
bracis-28381	199	15	proposed	propose	VERB
bracis-28381	199	16	approach	approach	NOUN
bracis-28381	199	17	overcomes	overcome	VERB
bracis-28381	199	18	the	the	DET
bracis-28381	199	19	baseline	baseline	PROPN
bracis-28381	199	20	model	model	NOUN
bracis-28381	199	21	proposed	propose	VERB
bracis-28381	199	22	by	by	ADP
bracis-28381	199	23	hiransha	hiransha	PROPN
bracis-28381	199	24	et	et	PROPN
bracis-28381	199	25	al	al	PROPN
bracis-28381	199	26	.	.	PUNCT
bracis-28381	200	1	[	[	X
bracis-28381	200	2	9	9	NUM
bracis-28381	200	3	]	]	PUNCT
bracis-28381	200	4	.	.	PUNCT
bracis-28381	201	1	the	the	DET
bracis-28381	201	2	results	result	NOUN
bracis-28381	201	3	show	show	VERB
bracis-28381	201	4	that	that	SCONJ
bracis-28381	201	5	it	it	PRON
bracis-28381	201	6	will	will	AUX
bracis-28381	201	7	be	be	AUX
bracis-28381	201	8	possible	possible	ADJ
bracis-28381	201	9	to	to	PART
bracis-28381	201	10	build	build	VERB
bracis-28381	201	11	a	a	DET
bracis-28381	201	12	model	model	NOUN
bracis-28381	201	13	that	that	PRON
bracis-28381	201	14	can	can	AUX
bracis-28381	201	15	precisely	precisely	ADV
bracis-28381	201	16	predict	predict	VERB
bracis-28381	201	17	the	the	DET
bracis-28381	201	18	prices	price	NOUN
bracis-28381	201	19	in	in	ADP
bracis-28381	201	20	a	a	DET
bracis-28381	201	21	near	near	ADJ
bracis-28381	201	22	future	future	NOUN
bracis-28381	201	23	.	.	PUNCT
bracis-28381	202	1	but	but	CCONJ
bracis-28381	202	2	,	,	PUNCT
bracis-28381	202	3	despite	despite	SCONJ
bracis-28381	202	4	the	the	DET
bracis-28381	202	5	reported	report	VERB
bracis-28381	202	6	results	result	NOUN
bracis-28381	202	7	,	,	PUNCT
bracis-28381	202	8	it	it	PRON
bracis-28381	202	9	is	be	AUX
bracis-28381	202	10	important	important	ADJ
bracis-28381	202	11	to	to	PART
bracis-28381	202	12	observe	observe	VERB
bracis-28381	202	13	that	that	SCONJ
bracis-28381	202	14	the	the	DET
bracis-28381	202	15	market	market	NOUN
bracis-28381	202	16	floats	float	VERB
bracis-28381	202	17	with	with	ADP
bracis-28381	202	18	external	external	ADJ
bracis-28381	202	19	factors	factor	NOUN
bracis-28381	202	20	,	,	PUNCT
bracis-28381	202	21	which	which	PRON
bracis-28381	202	22	makes	make	VERB
bracis-28381	202	23	the	the	DET
bracis-28381	202	24	model	model	NOUN
bracis-28381	202	25	use	use	VERB
bracis-28381	202	26	quite	quite	ADV
bracis-28381	202	27	risky	risky	ADJ
bracis-28381	202	28	.	.	PUNCT
bracis-28381	203	1	fig	fig	NOUN
bracis-28381	203	2	.	.	PUNCT
bracis-28381	204	1	11	11	NUM
bracis-28381	204	2	.	.	PUNCT
bracis-28381	205	1	predictions	prediction	NOUN
bracis-28381	205	2	made	make	VERB
bracis-28381	205	3	by	by	ADP
bracis-28381	205	4	cnn	cnn	PROPN
bracis-28381	205	5	-	-	PUNCT
bracis-28381	205	6	lstm	lstm	PROPN
bracis-28381	205	7	model	model	NOUN
bracis-28381	205	8	in	in	ADP
bracis-28381	205	9	maruti	maruti	PROPN
bracis-28381	205	10	dataset	dataset	PROPN
bracis-28381	205	11	.	.	PUNCT
bracis-28381	205	12	time	time	NOUN
bracis-28381	205	13	in	in	ADP
bracis-28381	205	14	days	day	NOUN
bracis-28381	205	15	.	.	PUNCT
bracis-28381	206	1	full	full	ADJ
bracis-28381	206	2	size	size	NOUN
bracis-28381	206	3	image	image	NOUN
bracis-28381	206	4	fig	fig	NOUN
bracis-28381	206	5	.	.	PUNCT
bracis-28381	207	1	12	12	NUM
bracis-28381	207	2	.	.	PUNCT
bracis-28381	207	3	prediction	prediction	NOUN
bracis-28381	207	4	made	make	VERB
bracis-28381	207	5	by	by	ADP
bracis-28381	207	6	all	all	DET
bracis-28381	207	7	models	model	NOUN
bracis-28381	207	8	with	with	ADP
bracis-28381	207	9	a	a	DET
bracis-28381	207	10	zoomed	zoomed	ADJ
bracis-28381	207	11	view	view	NOUN
bracis-28381	207	12	of	of	ADP
bracis-28381	207	13	the	the	DET
bracis-28381	207	14	last	last	ADJ
bracis-28381	207	15	100	100	NUM
bracis-28381	207	16	days	day	NOUN
bracis-28381	207	17	predicted	predict	VERB
bracis-28381	207	18	in	in	ADP
bracis-28381	207	19	mrti	mrti	PROPN
bracis-28381	207	20	dataset	dataset	VERB
bracis-28381	207	21	.	.	PUNCT
bracis-28381	208	1	full	full	ADJ
bracis-28381	208	2	size	size	NOUN
bracis-28381	208	3	image	image	NOUN
bracis-28381	208	4	table	table	NOUN
bracis-28381	208	5	6	6	NUM
bracis-28381	208	6	.	.	X
bracis-28381	208	7	mape	mape	NOUN
bracis-28381	208	8	of	of	ADP
bracis-28381	208	9	all	all	DET
bracis-28381	208	10	models	model	NOUN
bracis-28381	208	11	trained	train	VERB
bracis-28381	208	12	.	.	PUNCT
bracis-28381	209	1	axbk	axbk	ADV
bracis-28381	209	2	=	=	SYM
bracis-28381	209	3	axis	axis	PROPN
bracis-28381	209	4	bank	bank	NOUN
bracis-28381	209	5	;	;	PUNCT
bracis-28381	209	6	hclt	hclt	PROPN
bracis-28381	209	7	=	=	SYM
bracis-28381	209	8	hcl	hcl	PROPN
bracis-28381	209	9	;	;	PUNCT
bracis-28381	209	10	mrti	mrti	NOUN
bracis-28381	209	11	=	=	SYM
bracis-28381	209	12	maruti.full	maruti.full	NOUN
bracis-28381	209	13	size	size	NOUN
bracis-28381	209	14	table	table	NOUN
bracis-28381	209	15	as	as	ADP
bracis-28381	209	16	table	table	NOUN
bracis-28381	209	17	 	 	SPACE
bracis-28381	209	18	6	6	NUM
bracis-28381	209	19	shows	show	NOUN
bracis-28381	209	20	,	,	PUNCT
bracis-28381	209	21	the	the	DET
bracis-28381	209	22	cnn	cnn	PROPN
bracis-28381	209	23	-	-	PUNCT
bracis-28381	209	24	lstm	lstm	PROPN
bracis-28381	209	25	model	model	NOUN
bracis-28381	209	26	has	have	VERB
bracis-28381	209	27	better	well	ADJ
bracis-28381	209	28	results	result	NOUN
bracis-28381	209	29	.	.	PUNCT
bracis-28381	210	1	the	the	DET
bracis-28381	210	2	intuition	intuition	NOUN
bracis-28381	210	3	of	of	ADP
bracis-28381	210	4	getting	get	VERB
bracis-28381	210	5	smaller	small	ADJ
bracis-28381	210	6	errors	error	NOUN
bracis-28381	210	7	maybe	maybe	ADV
bracis-28381	210	8	is	be	AUX
bracis-28381	210	9	the	the	DET
bracis-28381	210	10	information	information	NOUN
bracis-28381	210	11	of	of	ADP
bracis-28381	210	12	more	more	ADJ
bracis-28381	210	13	days	day	NOUN
bracis-28381	210	14	used	use	VERB
bracis-28381	210	15	by	by	ADP
bracis-28381	210	16	the	the	DET
bracis-28381	210	17	cnn	cnn	PROPN
bracis-28381	210	18	-	-	PUNCT
bracis-28381	210	19	lstm	lstm	PROPN
bracis-28381	210	20	and	and	CCONJ
bracis-28381	210	21	the	the	DET
bracis-28381	210	22	data	data	NOUN
bracis-28381	210	23	processing	processing	NOUN
bracis-28381	210	24	made	make	VERB
bracis-28381	210	25	by	by	ADP
bracis-28381	210	26	the	the	DET
bracis-28381	210	27	convolution	convolution	NOUN
bracis-28381	210	28	layer	layer	NOUN
bracis-28381	210	29	.	.	PUNCT
bracis-28381	211	1	gathering	gather	VERB
bracis-28381	211	2	more	more	ADJ
bracis-28381	211	3	data	datum	NOUN
bracis-28381	211	4	with	with	ADP
bracis-28381	211	5	different	different	ADJ
bracis-28381	211	6	prices	price	NOUN
bracis-28381	211	7	and	and	CCONJ
bracis-28381	211	8	fluctuations	fluctuation	NOUN
bracis-28381	211	9	can	can	AUX
bracis-28381	211	10	result	result	VERB
bracis-28381	211	11	in	in	ADP
bracis-28381	211	12	a	a	DET
bracis-28381	211	13	more	more	ADV
bracis-28381	211	14	general	general	ADJ
bracis-28381	211	15	model	model	NOUN
bracis-28381	211	16	.	.	PUNCT
bracis-28381	212	1	comparing	compare	VERB
bracis-28381	212	2	the	the	DET
bracis-28381	212	3	much	much	ADV
bracis-28381	212	4	higher	high	ADJ
bracis-28381	212	5	error	error	NOUN
bracis-28381	212	6	of	of	ADP
bracis-28381	212	7	the	the	DET
bracis-28381	212	8	svr	svr	PROPN
bracis-28381	212	9	to	to	ADP
bracis-28381	212	10	that	that	PRON
bracis-28381	212	11	of	of	ADP
bracis-28381	212	12	the	the	DET
bracis-28381	212	13	lstm	lstm	PROPN
bracis-28381	212	14	and	and	CCONJ
bracis-28381	212	15	cnn	cnn	PROPN
bracis-28381	212	16	-	-	PUNCT
bracis-28381	212	17	lstm	lstm	PROPN
bracis-28381	212	18	,	,	PUNCT
bracis-28381	212	19	it	it	PRON
bracis-28381	212	20	is	be	AUX
bracis-28381	212	21	visible	visible	ADJ
bracis-28381	212	22	how	how	SCONJ
bracis-28381	212	23	the	the	DET
bracis-28381	212	24	use	use	NOUN
bracis-28381	212	25	of	of	ADP
bracis-28381	212	26	only	only	ADV
bracis-28381	212	27	one	one	NUM
bracis-28381	212	28	day	day	NOUN
bracis-28381	212	29	can	can	AUX
bracis-28381	212	30	be	be	AUX
bracis-28381	212	31	detrimental	detrimental	ADJ
bracis-28381	212	32	to	to	ADP
bracis-28381	212	33	the	the	DET
bracis-28381	212	34	algorithm	algorithm	NOUN
bracis-28381	212	35	’s	’s	PART
bracis-28381	212	36	performance	performance	NOUN
bracis-28381	212	37	.	.	PUNCT
bracis-28381	213	1	as	as	SCONJ
bracis-28381	213	2	only	only	ADV
bracis-28381	213	3	one	one	NUM
bracis-28381	213	4	day	day	NOUN
bracis-28381	213	5	is	be	AUX
bracis-28381	213	6	used	use	VERB
bracis-28381	213	7	,	,	PUNCT
bracis-28381	213	8	long	long	ADJ
bracis-28381	213	9	-	-	PUNCT
bracis-28381	213	10	term	term	NOUN
bracis-28381	213	11	behavior	behavior	NOUN
bracis-28381	213	12	is	be	AUX
bracis-28381	213	13	not	not	PART
bracis-28381	213	14	taken	take	VERB
bracis-28381	213	15	into	into	ADP
bracis-28381	213	16	account	account	NOUN
bracis-28381	213	17	,	,	PUNCT
bracis-28381	213	18	which	which	PRON
bracis-28381	213	19	tends	tend	VERB
bracis-28381	213	20	to	to	PART
bracis-28381	213	21	generate	generate	VERB
bracis-28381	213	22	results	result	NOUN
bracis-28381	213	23	that	that	PRON
bracis-28381	213	24	are	be	AUX
bracis-28381	213	25	inconsistent	inconsistent	ADJ
bracis-28381	213	26	with	with	ADP
bracis-28381	213	27	those	those	PRON
bracis-28381	213	28	expected	expect	VERB
bracis-28381	213	29	.	.	PUNCT
bracis-28381	214	1	5	5	NUM
bracis-28381	214	2	conclusion	conclusion	NOUN
bracis-28381	214	3	and	and	CCONJ
bracis-28381	214	4	 	 	SPACE
bracis-28381	214	5	future	future	ADJ
bracis-28381	214	6	works	work	NOUN
bracis-28381	214	7	in	in	ADP
bracis-28381	214	8	this	this	DET
bracis-28381	214	9	work	work	NOUN
bracis-28381	214	10	,	,	PUNCT
bracis-28381	214	11	we	we	PRON
bracis-28381	214	12	analyzed	analyze	VERB
bracis-28381	214	13	how	how	SCONJ
bracis-28381	214	14	models	model	NOUN
bracis-28381	214	15	work	work	VERB
bracis-28381	214	16	in	in	ADP
bracis-28381	214	17	long	long	ADJ
bracis-28381	214	18	and	and	CCONJ
bracis-28381	214	19	short	short	ADJ
bracis-28381	214	20	periods	period	NOUN
bracis-28381	214	21	to	to	PART
bracis-28381	214	22	predict	predict	VERB
bracis-28381	214	23	close	close	ADJ
bracis-28381	214	24	stock	stock	NOUN
bracis-28381	214	25	prices	price	NOUN
bracis-28381	214	26	,	,	PUNCT
bracis-28381	214	27	a	a	DET
bracis-28381	214	28	challenging	challenging	ADJ
bracis-28381	214	29	task	task	NOUN
bracis-28381	214	30	.	.	PUNCT
bracis-28381	215	1	three	three	NUM
bracis-28381	215	2	different	different	ADJ
bracis-28381	215	3	architectures	architecture	NOUN
bracis-28381	215	4	were	be	AUX
bracis-28381	215	5	evaluated	evaluate	VERB
bracis-28381	215	6	:	:	PUNCT
bracis-28381	215	7	a	a	DET
bracis-28381	215	8	traditional	traditional	ADJ
bracis-28381	215	9	machine	machine	NOUN
bracis-28381	215	10	learning	learn	VERB
bracis-28381	215	11	algorithm	algorithm	NOUN
bracis-28381	215	12	(	(	PUNCT
bracis-28381	215	13	svr	svr	PROPN
bracis-28381	215	14	)	)	PUNCT
bracis-28381	215	15	and	and	CCONJ
bracis-28381	215	16	two	two	NUM
bracis-28381	215	17	deep	deep	ADJ
bracis-28381	215	18	learning	learning	NOUN
bracis-28381	215	19	algorithms	algorithm	NOUN
bracis-28381	215	20	(	(	PUNCT
bracis-28381	215	21	lstm	lstm	NOUN
bracis-28381	215	22	and	and	CCONJ
bracis-28381	215	23	cnn	cnn	PROPN
bracis-28381	215	24	)	)	PUNCT
bracis-28381	215	25	.	.	PUNCT
bracis-28381	216	1	as	as	SCONJ
bracis-28381	216	2	can	can	AUX
bracis-28381	216	3	be	be	AUX
bracis-28381	216	4	seen	see	VERB
bracis-28381	216	5	,	,	PUNCT
bracis-28381	216	6	adding	add	VERB
bracis-28381	216	7	a	a	DET
bracis-28381	216	8	cnn	cnn	NOUN
bracis-28381	216	9	layer	layer	NOUN
bracis-28381	216	10	to	to	ADP
bracis-28381	216	11	the	the	DET
bracis-28381	216	12	lstm	lstm	PROPN
bracis-28381	216	13	model	model	NOUN
bracis-28381	216	14	increased	increase	VERB
bracis-28381	216	15	the	the	DET
bracis-28381	216	16	performance	performance	NOUN
bracis-28381	216	17	by	by	ADP
bracis-28381	216	18	0.75	0.75	NUM
bracis-28381	216	19	%	%	NOUN
bracis-28381	216	20	in	in	ADP
bracis-28381	216	21	the	the	DET
bracis-28381	216	22	best	good	ADJ
bracis-28381	216	23	case	case	NOUN
bracis-28381	216	24	.	.	PUNCT
bracis-28381	217	1	this	this	DET
bracis-28381	217	2	finding	finding	NOUN
bracis-28381	217	3	aligns	align	VERB
bracis-28381	217	4	with	with	ADP
bracis-28381	217	5	the	the	DET
bracis-28381	217	6	primary	primary	ADJ
bracis-28381	217	7	research	research	NOUN
bracis-28381	217	8	question	question	NOUN
bracis-28381	217	9	addressed	address	VERB
bracis-28381	217	10	in	in	ADP
bracis-28381	217	11	this	this	DET
bracis-28381	217	12	study	study	NOUN
bracis-28381	217	13	.	.	PUNCT
bracis-28381	218	1	the	the	DET
bracis-28381	218	2	results	result	NOUN
bracis-28381	218	3	also	also	ADV
bracis-28381	218	4	address	address	VERB
bracis-28381	218	5	the	the	DET
bracis-28381	218	6	second	second	ADJ
bracis-28381	218	7	research	research	NOUN
bracis-28381	218	8	question	question	NOUN
bracis-28381	218	9	,	,	PUNCT
bracis-28381	218	10	once	once	SCONJ
bracis-28381	218	11	the	the	DET
bracis-28381	218	12	models	model	NOUN
bracis-28381	218	13	could	could	AUX
bracis-28381	218	14	generalize	generalize	VERB
bracis-28381	218	15	to	to	ADP
bracis-28381	218	16	a	a	DET
bracis-28381	218	17	dataset	dataset	NOUN
bracis-28381	218	18	different	different	ADV
bracis-28381	218	19	from	from	ADP
bracis-28381	218	20	the	the	DET
bracis-28381	218	21	one	one	NOUN
bracis-28381	218	22	a	a	DET
bracis-28381	218	23	model	model	NOUN
bracis-28381	218	24	was	be	AUX
bracis-28381	218	25	trained	train	VERB
bracis-28381	218	26	on	on	ADP
bracis-28381	218	27	.	.	PUNCT
bracis-28381	219	1	as	as	SCONJ
bracis-28381	219	2	the	the	DET
bracis-28381	219	3	input	input	NOUN
bracis-28381	219	4	is	be	AUX
bracis-28381	219	5	a	a	DET
bracis-28381	219	6	time	time	NOUN
bracis-28381	219	7	series	series	NOUN
bracis-28381	219	8	,	,	PUNCT
bracis-28381	219	9	the	the	DET
bracis-28381	219	10	lstm	lstm	PROPN
bracis-28381	219	11	model	model	NOUN
bracis-28381	219	12	overcomes	overcome	VERB
bracis-28381	219	13	the	the	DET
bracis-28381	219	14	svr	svr	PROPN
bracis-28381	219	15	one	one	NUM
bracis-28381	219	16	.	.	PUNCT
bracis-28381	220	1	another	another	DET
bracis-28381	220	2	analysis	analysis	NOUN
bracis-28381	220	3	is	be	AUX
bracis-28381	220	4	that	that	SCONJ
bracis-28381	220	5	the	the	DET
bracis-28381	220	6	convolutional	convolutional	ADJ
bracis-28381	220	7	layers	layer	NOUN
bracis-28381	220	8	can	can	AUX
bracis-28381	220	9	extract	extract	VERB
bracis-28381	220	10	features	feature	NOUN
bracis-28381	220	11	in	in	ADP
bracis-28381	220	12	tabular	tabular	NOUN
bracis-28381	220	13	data	datum	NOUN
bracis-28381	220	14	and	and	CCONJ
bracis-28381	220	15	increase	increase	VERB
bracis-28381	220	16	the	the	DET
bracis-28381	220	17	results	result	NOUN
bracis-28381	220	18	when	when	SCONJ
bracis-28381	220	19	added	add	VERB
bracis-28381	220	20	to	to	ADP
bracis-28381	220	21	the	the	DET
bracis-28381	220	22	lstm	lstm	PROPN
bracis-28381	220	23	model	model	NOUN
bracis-28381	220	24	.	.	PUNCT
bracis-28381	221	1	in	in	ADP
bracis-28381	221	2	future	future	ADJ
bracis-28381	221	3	work	work	NOUN
bracis-28381	221	4	,	,	PUNCT
bracis-28381	221	5	two	two	NUM
bracis-28381	221	6	research	research	NOUN
bracis-28381	221	7	paths	path	NOUN
bracis-28381	221	8	to	to	PART
bracis-28381	221	9	reduce	reduce	VERB
bracis-28381	221	10	the	the	DET
bracis-28381	221	11	error	error	NOUN
bracis-28381	221	12	will	will	AUX
bracis-28381	221	13	be	be	AUX
bracis-28381	221	14	explored	explore	VERB
bracis-28381	221	15	:	:	PUNCT
bracis-28381	221	16	(	(	PUNCT
bracis-28381	221	17	1	1	X
bracis-28381	221	18	)	)	PUNCT
bracis-28381	221	19	an	an	DET
bracis-28381	221	20	ensemble	ensemble	ADJ
bracis-28381	221	21	model	model	NOUN
bracis-28381	221	22	,	,	PUNCT
bracis-28381	221	23	which	which	PRON
bracis-28381	221	24	combines	combine	VERB
bracis-28381	221	25	some	some	DET
bracis-28381	221	26	models	model	NOUN
bracis-28381	221	27	responses	response	NOUN
bracis-28381	221	28	,	,	PUNCT
bracis-28381	221	29	like	like	ADP
bracis-28381	221	30	cnn	cnn	PROPN
bracis-28381	221	31	,	,	PUNCT
bracis-28381	221	32	rnn	rnn	PROPN
bracis-28381	221	33	,	,	PUNCT
bracis-28381	221	34	lstm	lstm	NOUN
bracis-28381	221	35	,	,	PUNCT
bracis-28381	221	36	and	and	CCONJ
bracis-28381	221	37	transformers	transformer	NOUN
bracis-28381	221	38	,	,	PUNCT
bracis-28381	221	39	and	and	CCONJ
bracis-28381	221	40	(	(	PUNCT
bracis-28381	221	41	2	2	X
bracis-28381	221	42	)	)	PUNCT
bracis-28381	221	43	gathering	gather	VERB
bracis-28381	221	44	external	external	ADJ
bracis-28381	221	45	information	information	NOUN
bracis-28381	221	46	about	about	ADP
bracis-28381	221	47	the	the	DET
bracis-28381	221	48	companies	company	NOUN
bracis-28381	221	49	to	to	PART
bracis-28381	221	50	predict	predict	VERB
bracis-28381	221	51	the	the	DET
bracis-28381	221	52	close	close	ADJ
bracis-28381	221	53	price	price	NOUN
bracis-28381	221	54	,	,	PUNCT
bracis-28381	221	55	such	such	ADJ
bracis-28381	221	56	as	as	ADP
bracis-28381	221	57	the	the	DET
bracis-28381	221	58	response	response	NOUN
bracis-28381	221	59	of	of	ADP
bracis-28381	221	60	sentiment	sentiment	NOUN
bracis-28381	221	61	analysis	analysis	NOUN
bracis-28381	221	62	about	about	ADP
bracis-28381	221	63	news	news	NOUN
bracis-28381	221	64	regarding	regard	VERB
bracis-28381	221	65	the	the	DET
bracis-28381	221	66	companies	company	NOUN
bracis-28381	221	67	and	and	CCONJ
bracis-28381	221	68	other	other	ADJ
bracis-28381	221	69	negative	negative	ADJ
bracis-28381	221	70	or	or	CCONJ
bracis-28381	221	71	positive	positive	ADJ
bracis-28381	221	72	aspects	aspect	NOUN
bracis-28381	221	73	of	of	ADP
bracis-28381	221	74	the	the	DET
bracis-28381	221	75	company	company	NOUN
bracis-28381	221	76	.	.	PUNCT
bracis-28381	222	1	references	reference	NOUN
bracis-28381	222	2	agrawal	agrawal	PROPN
bracis-28381	222	3	,	,	PUNCT
bracis-28381	222	4	m.	m.	NOUN
bracis-28381	222	5	,	,	PUNCT
bracis-28381	222	6	shukla	shukla	NOUN
bracis-28381	222	7	,	,	PUNCT
bracis-28381	222	8	p.k	p.k	PROPN
bracis-28381	222	9	.	.	PROPN
bracis-28381	222	10	,	,	PUNCT
bracis-28381	222	11	nair	nair	PROPN
bracis-28381	222	12	,	,	PUNCT
bracis-28381	222	13	r.	r.	PROPN
bracis-28381	222	14	,	,	PUNCT
bracis-28381	222	15	nayyar	nayyar	PROPN
bracis-28381	222	16	,	,	PUNCT
bracis-28381	222	17	a.	a.	PROPN
bracis-28381	222	18	,	,	PUNCT
bracis-28381	222	19	masud	masud	PROPN
bracis-28381	222	20	,	,	PUNCT
bracis-28381	222	21	m.	m.	NOUN
bracis-28381	222	22	:	:	PUNCT
bracis-28381	222	23	stock	stock	NOUN
bracis-28381	222	24	prediction	prediction	NOUN
bracis-28381	222	25	based	base	VERB
bracis-28381	222	26	on	on	ADP
bracis-28381	222	27	technical	technical	ADJ
bracis-28381	222	28	indicators	indicator	NOUN
bracis-28381	222	29	using	use	VERB
bracis-28381	222	30	deep	deep	ADJ
bracis-28381	222	31	learning	learning	NOUN
bracis-28381	222	32	model	model	NOUN
bracis-28381	222	33	.	.	PUNCT
bracis-28381	223	1	comput	comput	NOUN
bracis-28381	223	2	.	.	PUNCT
bracis-28381	224	1	mater	mater	NOUN
bracis-28381	224	2	.	.	PUNCT
bracis-28381	225	1	continua	continua	PROPN
bracis-28381	225	2	70(1	70(1	PROPN
bracis-28381	225	3	)	)	PUNCT
bracis-28381	225	4	,	,	PUNCT
bracis-28381	225	5	287–304	287–304	NUM
bracis-28381	225	6	(	(	PUNCT
bracis-28381	225	7	2022	2022	NUM
bracis-28381	225	8	)	)	PUNCT
bracis-28381	225	9	article	article	NOUN
bracis-28381	225	10	  	  	SPACE
bracis-28381	225	11	google	google	PROPN
bracis-28381	225	12	scholar	scholar	NOUN
bracis-28381	225	13	  	  	SPACE
bracis-28381	225	14	aguirre	aguirre	PROPN
bracis-28381	225	15	,	,	PUNCT
bracis-28381	225	16	a.a.a	a.a.a	PROPN
bracis-28381	225	17	.	.	PROPN
bracis-28381	225	18	,	,	PUNCT
bracis-28381	225	19	méndez	méndez	PROPN
bracis-28381	225	20	,	,	PUNCT
bracis-28381	225	21	n.d.d	n.d.d	NOUN
bracis-28381	225	22	.	.	PROPN
bracis-28381	225	23	,	,	PUNCT
bracis-28381	225	24	medina	medina	PROPN
bracis-28381	225	25	,	,	PUNCT
bracis-28381	225	26	r.a.r	r.a.r	NOUN
bracis-28381	225	27	.	.	PUNCT
bracis-28381	225	28	:	:	PUNCT
bracis-28381	226	1	artificial	artificial	ADJ
bracis-28381	226	2	intelligence	intelligence	NOUN
bracis-28381	226	3	applied	apply	VERB
bracis-28381	226	4	to	to	ADP
bracis-28381	226	5	investment	investment	NOUN
bracis-28381	226	6	in	in	ADP
bracis-28381	226	7	variable	variable	ADJ
bracis-28381	226	8	income	income	NOUN
bracis-28381	226	9	through	through	ADP
bracis-28381	226	10	the	the	DET
bracis-28381	226	11	macd	macd	NOUN
bracis-28381	226	12	(	(	PUNCT
bracis-28381	226	13	moving	move	VERB
bracis-28381	226	14	average	average	ADJ
bracis-28381	226	15	convergence	convergence	NOUN
bracis-28381	226	16	/	/	SYM
bracis-28381	226	17	divergence	divergence	NOUN
bracis-28381	226	18	)	)	PUNCT
bracis-28381	226	19	indicator	indicator	NOUN
bracis-28381	226	20	.	.	PUNCT
bracis-28381	227	1	j.	j.	PROPN
bracis-28381	227	2	econ	econ	PROPN
bracis-28381	227	3	.	.	PUNCT
bracis-28381	227	4	financ	financ	PROPN
bracis-28381	227	5	.	.	PUNCT
bracis-28381	228	1	adm	adm	PROPN
bracis-28381	228	2	.	.	PUNCT
bracis-28381	229	1	sci	sci	PROPN
bracis-28381	229	2	.	.	PUNCT
bracis-28381	230	1	(	(	PUNCT
bracis-28381	230	2	2021	2021	NUM
bracis-28381	230	3	)	)	PUNCT
bracis-28381	230	4	google	google	NOUN
bracis-28381	230	5	scholar	scholar	NOUN
bracis-28381	230	6	  	  	SPACE
bracis-28381	230	7	an	an	PROPN
bracis-28381	230	8	,	,	PUNCT
bracis-28381	230	9	z.	z.	PROPN
bracis-28381	230	10	,	,	PUNCT
bracis-28381	230	11	feng	feng	PROPN
bracis-28381	230	12	,	,	PUNCT
bracis-28381	230	13	z.	z.	PROPN
bracis-28381	230	14	:	:	PUNCT
bracis-28381	230	15	a	a	DET
bracis-28381	230	16	stock	stock	NOUN
bracis-28381	230	17	price	price	NOUN
bracis-28381	230	18	forecasting	forecasting	NOUN
bracis-28381	230	19	method	method	NOUN
bracis-28381	230	20	using	use	VERB
bracis-28381	230	21	autoregressive	autoregressive	ADJ
bracis-28381	230	22	integrated	integrated	ADJ
bracis-28381	230	23	moving	move	VERB
bracis-28381	230	24	average	average	ADJ
bracis-28381	230	25	model	model	NOUN
bracis-28381	230	26	and	and	CCONJ
bracis-28381	230	27	gated	gate	VERB
bracis-28381	230	28	recurrent	recurrent	ADJ
bracis-28381	230	29	unit	unit	NOUN
bracis-28381	230	30	network	network	NOUN
bracis-28381	230	31	.	.	PUNCT
bracis-28381	231	1	in	in	ADP
bracis-28381	231	2	:	:	PUNCT
bracis-28381	231	3	2021	2021	NUM
bracis-28381	231	4	international	international	ADJ
bracis-28381	231	5	conference	conference	NOUN
bracis-28381	231	6	on	on	ADP
bracis-28381	231	7	big	big	ADJ
bracis-28381	231	8	data	datum	NOUN
bracis-28381	231	9	analysis	analysis	NOUN
bracis-28381	231	10	and	and	CCONJ
bracis-28381	231	11	computer	computer	NOUN
bracis-28381	231	12	science	science	NOUN
bracis-28381	231	13	(	(	PUNCT
bracis-28381	231	14	bdacs	bdacs	PROPN
bracis-28381	231	15	)	)	PUNCT
bracis-28381	231	16	,	,	PUNCT
bracis-28381	231	17	pp	pp	ADP
bracis-28381	231	18	.	.	PUNCT
bracis-28381	232	1	31–34	31–34	NUM
bracis-28381	232	2	.	.	PUNCT
bracis-28381	233	1	ieee	ieee	NOUN
bracis-28381	233	2	(	(	PUNCT
bracis-28381	233	3	2021	2021	NUM
bracis-28381	233	4	)	)	PUNCT
bracis-28381	233	5	google	google	PROPN
bracis-28381	233	6	scholar	scholar	NOUN
bracis-28381	233	7	  	  	SPACE
bracis-28381	233	8	das	das	PROPN
bracis-28381	233	9	,	,	PUNCT
bracis-28381	233	10	s.	s.	PROPN
bracis-28381	233	11	,	,	PUNCT
bracis-28381	233	12	behera	behera	PROPN
bracis-28381	233	13	,	,	PUNCT
bracis-28381	233	14	r.k	r.k	PROPN
bracis-28381	233	15	.	.	PROPN
bracis-28381	233	16	,	,	PUNCT
bracis-28381	233	17	rath	rath	PROPN
bracis-28381	233	18	,	,	PUNCT
bracis-28381	233	19	s.k	s.k	PROPN
bracis-28381	233	20	.	.	PROPN
bracis-28381	233	21	,	,	PUNCT
bracis-28381	233	22	et	et	PROPN
bracis-28381	233	23	al	al	PROPN
bracis-28381	233	24	.	.	PROPN
bracis-28381	233	25	:	:	PUNCT
bracis-28381	233	26	real	real	ADJ
bracis-28381	233	27	-	-	PUNCT
bracis-28381	233	28	time	time	NOUN
bracis-28381	233	29	sentiment	sentiment	NOUN
bracis-28381	233	30	analysis	analysis	NOUN
bracis-28381	233	31	of	of	ADP
bracis-28381	233	32	twitter	twitter	NOUN
bracis-28381	233	33	streaming	streaming	NOUN
bracis-28381	233	34	data	datum	NOUN
bracis-28381	233	35	for	for	ADP
bracis-28381	233	36	stock	stock	NOUN
bracis-28381	233	37	prediction	prediction	NOUN
bracis-28381	233	38	.	.	PUNCT
bracis-28381	234	1	procedia	procedia	PROPN
bracis-28381	234	2	comput	comput	PROPN
bracis-28381	234	3	.	.	PUNCT
bracis-28381	235	1	sci	sci	PROPN
bracis-28381	235	2	.	.	PROPN
bracis-28381	235	3	132	132	NUM
bracis-28381	235	4	,	,	PUNCT
bracis-28381	235	5	956–964	956–964	NUM
bracis-28381	235	6	(	(	PUNCT
bracis-28381	235	7	2018	2018	NUM
bracis-28381	235	8	)	)	PUNCT
bracis-28381	235	9	article	article	NOUN
bracis-28381	235	10	  	  	SPACE
bracis-28381	235	11	google	google	PROPN
bracis-28381	235	12	scholar	scholar	NOUN
bracis-28381	235	13	  	  	SPACE
bracis-28381	235	14	freitas	freita	NOUN
bracis-28381	235	15	,	,	PUNCT
bracis-28381	235	16	c.	c.	PROPN
bracis-28381	235	17	,	,	PUNCT
bracis-28381	235	18	silva	silva	PROPN
bracis-28381	235	19	,	,	PUNCT
bracis-28381	235	20	p.	p.	PROPN
bracis-28381	235	21	,	,	PUNCT
bracis-28381	235	22	moreira	moreira	PROPN
bracis-28381	235	23	,	,	PUNCT
bracis-28381	235	24	g.	g.	PROPN
bracis-28381	235	25	,	,	PUNCT
bracis-28381	235	26	luz	luz	PROPN
bracis-28381	235	27	,	,	PUNCT
bracis-28381	235	28	e.	e.	PROPN
bracis-28381	235	29	:	:	PUNCT
bracis-28381	235	30	rede	rede	VERB
bracis-28381	235	31	neural	neural	ADJ
bracis-28381	235	32	convolucional	convolucional	PROPN
bracis-28381	235	33	e	e	X
bracis-28381	235	34	lstm	lstm	PROPN
bracis-28381	235	35	para	para	PROPN
bracis-28381	235	36	biometria	biometria	PROPN
bracis-28381	235	37	baseada	baseada	PROPN
bracis-28381	235	38	em	em	PRON
bracis-28381	235	39	eeg	eeg	PROPN
bracis-28381	235	40	no	no	DET
bracis-28381	235	41	modo	modo	PROPN
bracis-28381	235	42	de	de	PROPN
bracis-28381	235	43	identificaçao	identificaçao	PROPN
bracis-28381	235	44	.	.	PUNCT
bracis-28381	236	1	in	in	ADP
bracis-28381	236	2	:	:	PUNCT
bracis-28381	236	3	anais	anais	PROPN
bracis-28381	236	4	do	do	AUX
bracis-28381	236	5	xxii	xxii	PROPN
bracis-28381	236	6	simpósio	simpósio	VERB
bracis-28381	236	7	brasileiro	brasileiro	PROPN
bracis-28381	236	8	de	de	X
bracis-28381	236	9	computação	computação	X
bracis-28381	236	10	aplicada	aplicada	PROPN
bracis-28381	236	11	à	à	X
bracis-28381	236	12	saúde	saúde	PROPN
bracis-28381	236	13	,	,	PUNCT
bracis-28381	236	14	pp	pp	X
bracis-28381	236	15	.	.	PUNCT
bracis-28381	237	1	256–267	256–267	NUM
bracis-28381	237	2	.	.	PUNCT
bracis-28381	238	1	sbc	sbc	NOUN
bracis-28381	238	2	(	(	PUNCT
bracis-28381	238	3	2022	2022	NUM
bracis-28381	238	4	)	)	PUNCT
bracis-28381	238	5	google	google	PROPN
bracis-28381	238	6	scholar	scholar	NOUN
bracis-28381	238	7	  	  	SPACE
bracis-28381	238	8	gomes	gome	NOUN
bracis-28381	238	9	,	,	PUNCT
bracis-28381	238	10	i.d.o	i.d.o	ADP
bracis-28381	238	11	.	.	PUNCT
bracis-28381	238	12	:	:	PUNCT
bracis-28381	238	13	estratégias	estratégia	VERB
bracis-28381	238	14	para	para	PROPN
bracis-28381	238	15	operações	operações	PROPN
bracis-28381	238	16	de	de	PROPN
bracis-28381	238	17	day	day	PROPN
bracis-28381	238	18	trade	trade	NOUN
bracis-28381	238	19	na	na	NOUN
bracis-28381	238	20	b3	b3	PROPN
bracis-28381	238	21	.	.	PUNCT
bracis-28381	239	1	master	master	PROPN
bracis-28381	239	2	’s	’s	PART
bracis-28381	239	3	thesis	thesis	NOUN
bracis-28381	239	4	,	,	PUNCT
bracis-28381	239	5	escola	escola	PROPN
bracis-28381	239	6	de	de	PROPN
bracis-28381	239	7	economia	economia	PROPN
bracis-28381	239	8	de	de	PROPN
bracis-28381	239	9	são	são	PROPN
bracis-28381	239	10	paulo	paulo	PROPN
bracis-28381	239	11	da	da	PROPN
bracis-28381	239	12	fundação	fundação	PROPN
bracis-28381	239	13	getulio	getulio	NOUN
bracis-28381	239	14	vargas	vargas	NOUN
bracis-28381	239	15	(	(	PUNCT
bracis-28381	239	16	2018	2018	NUM
bracis-28381	239	17	)	)	PUNCT
bracis-28381	239	18	google	google	PROPN
bracis-28381	239	19	scholar	scholar	NOUN
bracis-28381	239	20	  	  	SPACE
bracis-28381	239	21	goodfellow	goodfellow	PROPN
bracis-28381	239	22	,	,	PUNCT
bracis-28381	239	23	i.	i.	PROPN
bracis-28381	239	24	,	,	PUNCT
bracis-28381	239	25	bengio	bengio	PROPN
bracis-28381	239	26	,	,	PUNCT
bracis-28381	239	27	y.	y.	NOUN
bracis-28381	239	28	,	,	PUNCT
bracis-28381	239	29	courville	courville	NOUN
bracis-28381	239	30	,	,	PUNCT
bracis-28381	239	31	a.	a.	NOUN
bracis-28381	239	32	:	:	PUNCT
bracis-28381	239	33	deep	deep	ADJ
bracis-28381	239	34	learning	learning	NOUN
bracis-28381	239	35	.	.	PUNCT
bracis-28381	240	1	mit	mit	PROPN
bracis-28381	240	2	press	press	PROPN
bracis-28381	240	3	,	,	PUNCT
bracis-28381	240	4	cambridge	cambridge	PROPN
bracis-28381	240	5	(	(	PUNCT
bracis-28381	240	6	2016	2016	NUM
bracis-28381	240	7	)	)	PUNCT
bracis-28381	240	8	google	google	PROPN
bracis-28381	240	9	scholar	scholar	NOUN
bracis-28381	240	10	  	  	SPACE
bracis-28381	240	11	hansun	hansun	NOUN
bracis-28381	240	12	,	,	PUNCT
bracis-28381	240	13	s.	s.	PROPN
bracis-28381	240	14	,	,	PUNCT
bracis-28381	240	15	young	young	PROPN
bracis-28381	240	16	,	,	PUNCT
bracis-28381	240	17	j.c	j.c	PROPN
bracis-28381	240	18	.	.	PROPN
bracis-28381	240	19	:	:	PUNCT
bracis-28381	240	20	predicting	predict	VERB
bracis-28381	240	21	lq45	lq45	PROPN
bracis-28381	240	22	financial	financial	ADJ
bracis-28381	240	23	sector	sector	NOUN
bracis-28381	240	24	indices	index	NOUN
bracis-28381	240	25	using	use	VERB
bracis-28381	240	26	rnn	rnn	PROPN
bracis-28381	240	27	-	-	PUNCT
bracis-28381	240	28	lstm	lstm	PROPN
bracis-28381	240	29	.	.	PUNCT
bracis-28381	241	1	j.	j.	PROPN
bracis-28381	241	2	big	big	PROPN
bracis-28381	241	3	data	data	PROPN
bracis-28381	241	4	8(1	8(1	NOUN
bracis-28381	241	5	)	)	PUNCT
bracis-28381	241	6	,	,	PUNCT
bracis-28381	241	7	1–13	1–13	NOUN
bracis-28381	241	8	(	(	PUNCT
bracis-28381	241	9	2021	2021	NUM
bracis-28381	241	10	)	)	PUNCT
bracis-28381	241	11	article	article	NOUN
bracis-28381	241	12	  	  	SPACE
bracis-28381	241	13	google	google	PROPN
bracis-28381	241	14	scholar	scholar	NOUN
bracis-28381	241	15	  	  	SPACE
bracis-28381	241	16	hiransha	hiransha	PROPN
bracis-28381	241	17	,	,	PUNCT
bracis-28381	241	18	m.	m.	NOUN
bracis-28381	241	19	,	,	PUNCT
bracis-28381	241	20	gopalakrishnan	gopalakrishnan	NOUN
bracis-28381	241	21	,	,	PUNCT
bracis-28381	241	22	e.a	e.a	PROPN
bracis-28381	241	23	.	.	PROPN
bracis-28381	241	24	,	,	PUNCT
bracis-28381	241	25	menon	menon	PROPN
bracis-28381	241	26	,	,	PUNCT
bracis-28381	241	27	v.k	v.k	PROPN
bracis-28381	241	28	.	.	PROPN
bracis-28381	241	29	,	,	PUNCT
bracis-28381	241	30	soman	soman	NOUN
bracis-28381	241	31	,	,	PUNCT
bracis-28381	241	32	k.	k.	PROPN
bracis-28381	241	33	:	:	PUNCT
bracis-28381	241	34	nse	nse	NOUN
bracis-28381	241	35	stock	stock	NOUN
bracis-28381	241	36	market	market	NOUN
bracis-28381	241	37	prediction	prediction	NOUN
bracis-28381	241	38	using	use	VERB
bracis-28381	241	39	deep	deep	ADJ
bracis-28381	241	40	-	-	PUNCT
bracis-28381	241	41	learning	learn	VERB
bracis-28381	241	42	models	model	NOUN
bracis-28381	241	43	.	.	PUNCT
bracis-28381	242	1	procedia	procedia	PROPN
bracis-28381	242	2	comput	comput	NOUN
bracis-28381	242	3	.	.	PUNCT
bracis-28381	243	1	sci	sci	PROPN
bracis-28381	243	2	.	.	PROPN
bracis-28381	243	3	132	132	NUM
bracis-28381	243	4	,	,	PUNCT
bracis-28381	243	5	1351–1362	1351–1362	NUM
bracis-28381	243	6	(	(	PUNCT
bracis-28381	243	7	2018	2018	NUM
bracis-28381	243	8	)	)	PUNCT
bracis-28381	243	9	article	article	NOUN
bracis-28381	243	10	  	  	SPACE
bracis-28381	243	11	google	google	PROPN
bracis-28381	243	12	scholar	scholar	NOUN
bracis-28381	243	13	  	  	SPACE
bracis-28381	243	14	huang	huang	PROPN
bracis-28381	243	15	,	,	PUNCT
bracis-28381	243	16	y.	y.	PROPN
bracis-28381	243	17	,	,	PUNCT
bracis-28381	243	18	capretz	capretz	VERB
bracis-28381	243	19	,	,	PUNCT
bracis-28381	243	20	l.f	l.f	PROPN
bracis-28381	243	21	.	.	PROPN
bracis-28381	243	22	,	,	PUNCT
bracis-28381	243	23	ho	ho	PROPN
bracis-28381	243	24	,	,	PUNCT
bracis-28381	243	25	d.	d.	PROPN
bracis-28381	243	26	:	:	PUNCT
bracis-28381	243	27	neural	neural	ADJ
bracis-28381	243	28	network	network	NOUN
bracis-28381	243	29	models	model	NOUN
bracis-28381	243	30	for	for	ADP
bracis-28381	243	31	stock	stock	NOUN
bracis-28381	243	32	selection	selection	NOUN
bracis-28381	243	33	based	base	VERB
bracis-28381	243	34	on	on	ADP
bracis-28381	243	35	fundamental	fundamental	ADJ
bracis-28381	243	36	analysis	analysis	NOUN
bracis-28381	243	37	.	.	PUNCT
bracis-28381	244	1	in	in	ADP
bracis-28381	244	2	:	:	PUNCT
bracis-28381	244	3	2019	2019	NUM
bracis-28381	244	4	ieee	ieee	NOUN
bracis-28381	244	5	canadian	canadian	ADJ
bracis-28381	244	6	conference	conference	NOUN
bracis-28381	244	7	of	of	ADP
bracis-28381	244	8	electrical	electrical	ADJ
bracis-28381	244	9	and	and	CCONJ
bracis-28381	244	10	computer	computer	NOUN
bracis-28381	244	11	engineering	engineering	NOUN
bracis-28381	244	12	(	(	PUNCT
bracis-28381	244	13	ccece	ccece	PROPN
bracis-28381	244	14	)	)	PUNCT
bracis-28381	244	15	,	,	PUNCT
bracis-28381	244	16	pp	pp	PROPN
bracis-28381	244	17	.	.	PUNCT
bracis-28381	245	1	1–4	1–4	PROPN
bracis-28381	245	2	.	.	PUNCT
bracis-28381	245	3	ieee	ieee	PROPN
bracis-28381	245	4	(	(	PUNCT
bracis-28381	245	5	2019	2019	NUM
bracis-28381	245	6	)	)	PUNCT
bracis-28381	245	7	google	google	PROPN
bracis-28381	245	8	scholar	scholar	NOUN
bracis-28381	245	9	  	  	SPACE
bracis-28381	245	10	jayadev	jayadev	PROPN
bracis-28381	245	11	,	,	PUNCT
bracis-28381	245	12	s.	s.	PROPN
bracis-28381	245	13	,	,	PUNCT
bracis-28381	245	14	anupama	anupama	PROPN
bracis-28381	245	15	,	,	PUNCT
bracis-28381	245	16	r.	r.	PROPN
bracis-28381	245	17	,	,	PUNCT
bracis-28381	245	18	sebastian	sebastian	PROPN
bracis-28381	245	19	,	,	PUNCT
bracis-28381	245	20	s.	s.	PROPN
bracis-28381	245	21	:	:	PUNCT
bracis-28381	245	22	testing	test	VERB
bracis-28381	245	23	the	the	DET
bracis-28381	245	24	market	market	NOUN
bracis-28381	245	25	efficiency	efficiency	NOUN
bracis-28381	245	26	of	of	ADP
bracis-28381	245	27	nse	nse	NOUN
bracis-28381	245	28	:	:	PUNCT
bracis-28381	245	29	a	a	DET
bracis-28381	245	30	study	study	NOUN
bracis-28381	245	31	on	on	ADP
bracis-28381	245	32	random	random	ADJ
bracis-28381	245	33	walk	walk	NOUN
bracis-28381	245	34	theory	theory	NOUN
bracis-28381	245	35	.	.	PUNCT
bracis-28381	246	1	contemp	contemp	NOUN
bracis-28381	246	2	.	.	PUNCT
bracis-28381	247	1	res	re	NOUN
bracis-28381	247	2	.	.	PROPN
bracis-28381	247	3	financ	financ	PROPN
bracis-28381	247	4	.	.	PUNCT
bracis-28381	248	1	34	34	NUM
bracis-28381	248	2	(	(	PUNCT
bracis-28381	248	3	2021	2021	NUM
bracis-28381	248	4	)	)	PUNCT
bracis-28381	248	5	google	google	PROPN
bracis-28381	248	6	scholar	scholar	NOUN
bracis-28381	248	7	  	  	SPACE
bracis-28381	248	8	jiang	jiang	PROPN
bracis-28381	248	9	,	,	PUNCT
bracis-28381	248	10	w.	w.	PROPN
bracis-28381	248	11	:	:	PUNCT
bracis-28381	248	12	applications	application	NOUN
bracis-28381	248	13	of	of	ADP
bracis-28381	248	14	deep	deep	ADJ
bracis-28381	248	15	learning	learning	NOUN
bracis-28381	248	16	in	in	ADP
bracis-28381	248	17	stock	stock	NOUN
bracis-28381	248	18	market	market	NOUN
bracis-28381	248	19	prediction	prediction	NOUN
bracis-28381	248	20	:	:	PUNCT
bracis-28381	248	21	recent	recent	ADJ
bracis-28381	248	22	progress	progress	NOUN
bracis-28381	248	23	.	.	PUNCT
bracis-28381	249	1	expert	expert	NOUN
bracis-28381	249	2	syst	syst	PROPN
bracis-28381	249	3	.	.	PUNCT
bracis-28381	249	4	appl	appl	PROPN
bracis-28381	249	5	.	.	PUNCT
bracis-28381	250	1	184	184	NUM
bracis-28381	250	2	,	,	PUNCT
bracis-28381	250	3	115537	115537	NUM
bracis-28381	250	4	(	(	PUNCT
bracis-28381	250	5	2021	2021	NUM
bracis-28381	250	6	)	)	PUNCT
bracis-28381	250	7	article	article	NOUN
bracis-28381	250	8	  	  	SPACE
bracis-28381	250	9	google	google	PROPN
bracis-28381	250	10	scholar	scholar	NOUN
bracis-28381	250	11	  	  	SPACE
bracis-28381	250	12	jin	jin	NOUN
bracis-28381	250	13	,	,	PUNCT
bracis-28381	250	14	z.	z.	PROPN
bracis-28381	250	15	,	,	PUNCT
bracis-28381	250	16	yang	yang	PROPN
bracis-28381	250	17	,	,	PUNCT
bracis-28381	250	18	y.	y.	PROPN
bracis-28381	250	19	,	,	PUNCT
bracis-28381	250	20	liu	liu	PROPN
bracis-28381	250	21	,	,	PUNCT
bracis-28381	250	22	y.	y.	NOUN
bracis-28381	250	23	:	:	PUNCT
bracis-28381	250	24	stock	stock	NOUN
bracis-28381	250	25	closing	closing	NOUN
bracis-28381	250	26	price	price	NOUN
bracis-28381	250	27	prediction	prediction	NOUN
bracis-28381	250	28	based	base	VERB
bracis-28381	250	29	on	on	ADP
bracis-28381	250	30	sentiment	sentiment	NOUN
bracis-28381	250	31	analysis	analysis	NOUN
bracis-28381	250	32	and	and	CCONJ
bracis-28381	250	33	lstm	lstm	NOUN
bracis-28381	250	34	.	.	PUNCT
bracis-28381	251	1	neural	neural	ADJ
bracis-28381	251	2	comput	comput	NOUN
bracis-28381	251	3	.	.	PUNCT
bracis-28381	252	1	appl	appl	PROPN
bracis-28381	252	2	.	.	PUNCT
bracis-28381	253	1	32(13	32(13	NUM
bracis-28381	253	2	)	)	PUNCT
bracis-28381	253	3	,	,	PUNCT
bracis-28381	253	4	9713–9729	9713–9729	NUM
bracis-28381	253	5	(	(	PUNCT
bracis-28381	253	6	2020	2020	NUM
bracis-28381	253	7	)	)	PUNCT
bracis-28381	253	8	article	article	NOUN
bracis-28381	253	9	  	  	SPACE
bracis-28381	253	10	google	google	PROPN
bracis-28381	253	11	scholar	scholar	NOUN
bracis-28381	253	12	  	  	SPACE
bracis-28381	253	13	kurani	kurani	NOUN
bracis-28381	253	14	,	,	PUNCT
bracis-28381	253	15	a.	a.	PROPN
bracis-28381	253	16	,	,	PUNCT
bracis-28381	253	17	doshi	doshi	PROPN
bracis-28381	253	18	,	,	PUNCT
bracis-28381	253	19	p.	p.	PROPN
bracis-28381	253	20	,	,	PUNCT
bracis-28381	253	21	vakharia	vakharia	PROPN
bracis-28381	253	22	,	,	PUNCT
bracis-28381	253	23	a.	a.	NOUN
bracis-28381	253	24	,	,	PUNCT
bracis-28381	253	25	shah	shah	NOUN
bracis-28381	253	26	,	,	PUNCT
bracis-28381	253	27	m.	m.	NOUN
bracis-28381	253	28	:	:	PUNCT
bracis-28381	253	29	a	a	DET
bracis-28381	253	30	comprehensive	comprehensive	ADJ
bracis-28381	253	31	comparative	comparative	ADJ
bracis-28381	253	32	study	study	NOUN
bracis-28381	253	33	of	of	ADP
bracis-28381	253	34	artificial	artificial	ADJ
bracis-28381	253	35	neural	neural	ADJ
bracis-28381	253	36	network	network	NOUN
bracis-28381	253	37	(	(	PUNCT
bracis-28381	253	38	ann	ann	PROPN
bracis-28381	253	39	)	)	PUNCT
bracis-28381	253	40	and	and	CCONJ
bracis-28381	253	41	support	support	VERB
bracis-28381	253	42	vector	vector	NOUN
bracis-28381	253	43	machines	machine	NOUN
bracis-28381	253	44	(	(	PUNCT
bracis-28381	253	45	svm	svm	PROPN
bracis-28381	253	46	)	)	PUNCT
bracis-28381	253	47	on	on	ADP
bracis-28381	253	48	stock	stock	NOUN
bracis-28381	253	49	forecasting	forecasting	NOUN
bracis-28381	253	50	.	.	PUNCT
bracis-28381	254	1	ann	ann	PROPN
bracis-28381	254	2	.	.	PROPN
bracis-28381	255	1	data	data	PROPN
bracis-28381	255	2	sci	sci	PROPN
bracis-28381	255	3	.	.	PUNCT
bracis-28381	256	1	1–26	1–26	PROPN
bracis-28381	256	2	(	(	PUNCT
bracis-28381	256	3	2021	2021	NUM
bracis-28381	256	4	)	)	PUNCT
bracis-28381	256	5	google	google	NOUN
bracis-28381	256	6	scholar	scholar	NOUN
bracis-28381	256	7	  	  	SPACE
bracis-28381	256	8	lecun	lecun	ADJ
bracis-28381	256	9	,	,	PUNCT
bracis-28381	256	10	y.	y.	PROPN
bracis-28381	256	11	,	,	PUNCT
bracis-28381	256	12	bengio	bengio	PROPN
bracis-28381	256	13	,	,	PUNCT
bracis-28381	256	14	y.	y.	PROPN
bracis-28381	256	15	,	,	PUNCT
bracis-28381	256	16	et	et	PROPN
bracis-28381	256	17	al	al	PROPN
bracis-28381	256	18	.	.	PUNCT
bracis-28381	256	19	:	:	PUNCT
bracis-28381	256	20	convolutional	convolutional	ADJ
bracis-28381	256	21	networks	network	NOUN
bracis-28381	256	22	for	for	ADP
bracis-28381	256	23	images	image	NOUN
bracis-28381	256	24	,	,	PUNCT
bracis-28381	256	25	speech	speech	NOUN
bracis-28381	256	26	,	,	PUNCT
bracis-28381	256	27	and	and	CCONJ
bracis-28381	256	28	time	time	NOUN
bracis-28381	256	29	series	series	PROPN
bracis-28381	256	30	.	.	PUNCT
bracis-28381	257	1	handb	handb	PROPN
bracis-28381	257	2	.	.	PUNCT
bracis-28381	258	1	brain	brain	NOUN
bracis-28381	258	2	theory	theory	NOUN
bracis-28381	258	3	neural	neural	ADJ
bracis-28381	258	4	netw	netw	NOUN
bracis-28381	258	5	.	.	PUNCT
bracis-28381	259	1	3361(10	3361(10	NUM
bracis-28381	259	2	)	)	PUNCT
bracis-28381	259	3	,	,	PUNCT
bracis-28381	259	4	1995	1995	NUM
bracis-28381	259	5	(	(	PUNCT
bracis-28381	259	6	1995	1995	NUM
bracis-28381	259	7	)	)	PUNCT
bracis-28381	259	8	google	google	PROPN
bracis-28381	259	9	scholar	scholar	NOUN
bracis-28381	259	10	  	  	SPACE
bracis-28381	259	11	lorena	lorena	PROPN
bracis-28381	259	12	,	,	PUNCT
bracis-28381	259	13	a.c	a.c	PROPN
bracis-28381	259	14	.	.	PROPN
bracis-28381	259	15	,	,	PUNCT
bracis-28381	259	16	de	de	PROPN
bracis-28381	259	17	carvalho	carvalho	PROPN
bracis-28381	259	18	,	,	PUNCT
bracis-28381	259	19	a.c	a.c	PROPN
bracis-28381	259	20	.	.	PROPN
bracis-28381	259	21	:	:	PUNCT
bracis-28381	260	1	uma	uma	PROPN
bracis-28381	260	2	introdução	introdução	PROPN
bracis-28381	260	3	às	às	AUX
bracis-28381	260	4	support	support	PROPN
bracis-28381	260	5	vector	vector	NOUN
bracis-28381	260	6	machines	machine	NOUN
bracis-28381	260	7	.	.	PUNCT
bracis-28381	261	1	revista	revista	PROPN
bracis-28381	261	2	de	de	PROPN
bracis-28381	261	3	informática	informática	PROPN
bracis-28381	261	4	teórica	teórica	PROPN
bracis-28381	261	5	e	e	PROPN
bracis-28381	261	6	aplicada	aplicada	PROPN
bracis-28381	261	7	14(2	14(2	NUM
bracis-28381	261	8	)	)	PUNCT
bracis-28381	261	9	,	,	PUNCT
bracis-28381	261	10	43–67	43–67	NUM
bracis-28381	261	11	(	(	PUNCT
bracis-28381	261	12	2007	2007	NUM
bracis-28381	261	13	)	)	PUNCT
bracis-28381	261	14	article	article	NOUN
bracis-28381	261	15	  	  	SPACE
bracis-28381	261	16	google	google	PROPN
bracis-28381	261	17	scholar	scholar	NOUN
bracis-28381	261	18	  	  	SPACE
bracis-28381	261	19	lu	lu	PROPN
bracis-28381	261	20	,	,	PUNCT
bracis-28381	261	21	w.	w.	PROPN
bracis-28381	261	22	,	,	PUNCT
bracis-28381	261	23	li	li	PROPN
bracis-28381	261	24	,	,	PUNCT
bracis-28381	261	25	j.	j.	PROPN
bracis-28381	261	26	,	,	PUNCT
bracis-28381	261	27	wang	wang	PROPN
bracis-28381	261	28	,	,	PUNCT
bracis-28381	261	29	j.	j.	PROPN
bracis-28381	261	30	,	,	PUNCT
bracis-28381	261	31	qin	qin	PROPN
bracis-28381	261	32	,	,	PUNCT
bracis-28381	261	33	l.	l.	PROPN
bracis-28381	261	34	:	:	PUNCT
bracis-28381	261	35	a	a	DET
bracis-28381	261	36	cnn	cnn	PROPN
bracis-28381	261	37	-	-	PUNCT
bracis-28381	261	38	bilstm	bilstm	NOUN
bracis-28381	261	39	-	-	PUNCT
bracis-28381	261	40	am	am	NOUN
bracis-28381	261	41	method	method	NOUN
bracis-28381	261	42	for	for	ADP
bracis-28381	261	43	stock	stock	NOUN
bracis-28381	261	44	price	price	NOUN
bracis-28381	261	45	prediction	prediction	NOUN
bracis-28381	261	46	.	.	PUNCT
bracis-28381	262	1	neural	neural	ADJ
bracis-28381	262	2	comput	comput	NOUN
bracis-28381	262	3	.	.	PUNCT
bracis-28381	263	1	appl	appl	PROPN
bracis-28381	263	2	.	.	PUNCT
bracis-28381	264	1	33(10	33(10	NUM
bracis-28381	264	2	)	)	PUNCT
bracis-28381	264	3	,	,	PUNCT
bracis-28381	264	4	4741–4753	4741–4753	NUM
bracis-28381	264	5	(	(	PUNCT
bracis-28381	264	6	2021	2021	NUM
bracis-28381	264	7	)	)	PUNCT
bracis-28381	264	8	article	article	NOUN
bracis-28381	264	9	  	  	SPACE
bracis-28381	264	10	google	google	PROPN
bracis-28381	264	11	scholar	scholar	NOUN
bracis-28381	264	12	  	  	SPACE
bracis-28381	264	13	pang	pang	NOUN
bracis-28381	264	14	,	,	PUNCT
bracis-28381	264	15	x.	x.	PROPN
bracis-28381	264	16	,	,	PUNCT
bracis-28381	264	17	zhou	zhou	PROPN
bracis-28381	264	18	,	,	PUNCT
bracis-28381	264	19	y.	y.	PROPN
bracis-28381	264	20	,	,	PUNCT
bracis-28381	264	21	wang	wang	PROPN
bracis-28381	264	22	,	,	PUNCT
bracis-28381	264	23	p.	p.	PROPN
bracis-28381	264	24	,	,	PUNCT
bracis-28381	264	25	lin	lin	PROPN
bracis-28381	264	26	,	,	PUNCT
bracis-28381	264	27	w.	w.	PROPN
bracis-28381	264	28	,	,	PUNCT
bracis-28381	264	29	chang	chang	PROPN
bracis-28381	264	30	,	,	PUNCT
bracis-28381	265	1	v.	v.	ADP
bracis-28381	265	2	:	:	PUNCT
bracis-28381	265	3	an	an	DET
bracis-28381	265	4	innovative	innovative	ADJ
bracis-28381	265	5	neural	neural	ADJ
bracis-28381	265	6	network	network	NOUN
bracis-28381	265	7	approach	approach	NOUN
bracis-28381	265	8	for	for	ADP
bracis-28381	265	9	stock	stock	NOUN
bracis-28381	265	10	market	market	NOUN
bracis-28381	265	11	prediction	prediction	NOUN
bracis-28381	265	12	.	.	PUNCT
bracis-28381	266	1	j.	j.	PROPN
bracis-28381	266	2	supercomput	supercomput	PROPN
bracis-28381	266	3	.	.	PUNCT
bracis-28381	267	1	76(3	76(3	NOUN
bracis-28381	267	2	)	)	PUNCT
bracis-28381	267	3	,	,	PUNCT
bracis-28381	267	4	2098–2118	2098–2118	NUM
bracis-28381	267	5	(	(	PUNCT
bracis-28381	267	6	2020	2020	NUM
bracis-28381	267	7	)	)	PUNCT
bracis-28381	267	8	article	article	NOUN
bracis-28381	267	9	  	  	SPACE
bracis-28381	267	10	google	google	PROPN
bracis-28381	267	11	scholar	scholar	NOUN
bracis-28381	267	12	  	  	SPACE
bracis-28381	267	13	rakhra	rakhra	NOUN
bracis-28381	267	14	,	,	PUNCT
bracis-28381	267	15	m.	m.	NOUN
bracis-28381	267	16	,	,	PUNCT
bracis-28381	267	17	et	et	PROPN
bracis-28381	267	18	al	al	PROPN
bracis-28381	267	19	.	.	PUNCT
bracis-28381	267	20	:	:	PUNCT
bracis-28381	268	1	crop	crop	NOUN
bracis-28381	268	2	price	price	NOUN
bracis-28381	268	3	prediction	prediction	NOUN
bracis-28381	268	4	using	use	VERB
bracis-28381	268	5	random	random	ADJ
bracis-28381	268	6	forest	forest	NOUN
bracis-28381	268	7	and	and	CCONJ
bracis-28381	268	8	decision	decision	NOUN
bracis-28381	268	9	tree	tree	NOUN
bracis-28381	268	10	regression:-a	regression:-a	PROPN
bracis-28381	268	11	review	review	PROPN
bracis-28381	268	12	.	.	PUNCT
bracis-28381	269	1	mater	mater	NOUN
bracis-28381	269	2	.	.	PUNCT
bracis-28381	270	1	today	today	NOUN
bracis-28381	270	2	proc	proc	NOUN
bracis-28381	270	3	.	.	PUNCT
bracis-28381	271	1	(	(	PUNCT
bracis-28381	271	2	2021	2021	NUM
bracis-28381	271	3	)	)	PUNCT
bracis-28381	271	4	google	google	PROPN
bracis-28381	271	5	scholar	scholar	NOUN
bracis-28381	271	6	  	  	SPACE
bracis-28381	271	7	santuci	santuci	NOUN
bracis-28381	271	8	,	,	PUNCT
bracis-28381	271	9	a.	a.	PROPN
bracis-28381	271	10	,	,	PUNCT
bracis-28381	271	11	sbruzzi	sbruzzi	PROPN
bracis-28381	271	12	,	,	PUNCT
bracis-28381	271	13	e.	e.	PROPN
bracis-28381	271	14	,	,	PUNCT
bracis-28381	271	15	araújo	araújo	NOUN
bracis-28381	271	16	-	-	PUNCT
bracis-28381	271	17	filho	filho	PROPN
bracis-28381	271	18	,	,	PUNCT
bracis-28381	271	19	l.	l.	PROPN
bracis-28381	271	20	,	,	PUNCT
bracis-28381	271	21	leles	lele	NOUN
bracis-28381	271	22	,	,	PUNCT
bracis-28381	271	23	m.	m.	NOUN
bracis-28381	271	24	:	:	PUNCT
bracis-28381	271	25	evaluation	evaluation	NOUN
bracis-28381	271	26	of	of	ADP
bracis-28381	271	27	forex	forex	ADJ
bracis-28381	271	28	trading	trading	NOUN
bracis-28381	271	29	strategies	strategy	NOUN
bracis-28381	271	30	based	base	VERB
bracis-28381	271	31	in	in	ADP
bracis-28381	271	32	random	random	ADJ
bracis-28381	271	33	forest	forest	NOUN
bracis-28381	271	34	and	and	CCONJ
bracis-28381	271	35	support	support	VERB
bracis-28381	271	36	vector	vector	NOUN
bracis-28381	271	37	machines	machine	NOUN
bracis-28381	271	38	.	.	PUNCT
bracis-28381	272	1	ieee	ieee	PROPN
bracis-28381	272	2	lat	lat	PROPN
bracis-28381	272	3	.	.	PUNCT
bracis-28381	272	4	am	be	AUX
bracis-28381	272	5	.	.	PUNCT
bracis-28381	273	1	trans	tran	NOUN
bracis-28381	273	2	.	.	PUNCT
bracis-28381	273	3	20(9	20(9	NUM
bracis-28381	273	4	)	)	PUNCT
bracis-28381	273	5	,	,	PUNCT
bracis-28381	273	6	2146–2152	2146–2152	NUM
bracis-28381	273	7	(	(	PUNCT
bracis-28381	273	8	2022	2022	NUM
bracis-28381	273	9	)	)	PUNCT
bracis-28381	273	10	article	article	NOUN
bracis-28381	273	11	  	  	SPACE
bracis-28381	273	12	google	google	PROPN
bracis-28381	273	13	scholar	scholar	NOUN
bracis-28381	273	14	  	  	SPACE
bracis-28381	273	15	singh	singh	PROPN
bracis-28381	273	16	,	,	PUNCT
bracis-28381	273	17	r.	r.	PROPN
bracis-28381	273	18	,	,	PUNCT
bracis-28381	273	19	srivastava	srivastava	PROPN
bracis-28381	273	20	,	,	PUNCT
bracis-28381	273	21	s.	s.	PROPN
bracis-28381	273	22	:	:	PUNCT
bracis-28381	273	23	stock	stock	NOUN
bracis-28381	273	24	prediction	prediction	NOUN
bracis-28381	273	25	using	use	VERB
bracis-28381	273	26	deep	deep	ADJ
bracis-28381	273	27	learning	learning	NOUN
bracis-28381	273	28	.	.	PUNCT
bracis-28381	274	1	multimedia	multimedia	NOUN
bracis-28381	274	2	tools	tool	NOUN
bracis-28381	274	3	appl	appl	NOUN
bracis-28381	274	4	.	.	PUNCT
bracis-28381	275	1	76(18	76(18	X
bracis-28381	275	2	)	)	PUNCT
bracis-28381	275	3	,	,	PUNCT
bracis-28381	275	4	18569–18584	18569–18584	NUM
bracis-28381	275	5	(	(	PUNCT
bracis-28381	275	6	2017	2017	NUM
bracis-28381	275	7	)	)	PUNCT
bracis-28381	275	8	article	article	NOUN
bracis-28381	275	9	  	  	SPACE
bracis-28381	275	10	google	google	PROPN
bracis-28381	275	11	scholar	scholar	NOUN
bracis-28381	275	12	  	  	SPACE
bracis-28381	275	13	singh	singh	PROPN
bracis-28381	275	14	,	,	PUNCT
bracis-28381	275	15	s.	s.	PROPN
bracis-28381	275	16	,	,	PUNCT
bracis-28381	275	17	parmar	parmar	PROPN
bracis-28381	275	18	,	,	PUNCT
bracis-28381	275	19	k.s	k.s	PROPN
bracis-28381	275	20	.	.	PROPN
bracis-28381	275	21	,	,	PUNCT
bracis-28381	275	22	kumar	kumar	PROPN
bracis-28381	275	23	,	,	PUNCT
bracis-28381	275	24	j.	j.	PROPN
bracis-28381	275	25	:	:	PUNCT
bracis-28381	275	26	soft	soft	ADJ
bracis-28381	275	27	computing	computing	NOUN
bracis-28381	275	28	model	model	NOUN
bracis-28381	275	29	coupled	couple	VERB
bracis-28381	275	30	with	with	ADP
bracis-28381	275	31	statistical	statistical	ADJ
bracis-28381	275	32	models	model	NOUN
bracis-28381	275	33	to	to	PART
bracis-28381	275	34	estimate	estimate	VERB
bracis-28381	275	35	future	future	NOUN
bracis-28381	275	36	of	of	ADP
bracis-28381	275	37	stock	stock	NOUN
bracis-28381	275	38	market	market	NOUN
bracis-28381	275	39	.	.	PUNCT
bracis-28381	276	1	neural	neural	ADJ
bracis-28381	276	2	comput	comput	NOUN
bracis-28381	276	3	.	.	PUNCT
bracis-28381	277	1	appl	appl	PROPN
bracis-28381	277	2	.	.	PUNCT
bracis-28381	278	1	33(13	33(13	NUM
bracis-28381	278	2	)	)	PUNCT
bracis-28381	278	3	,	,	PUNCT
bracis-28381	278	4	7629–7647	7629–7647	NUM
bracis-28381	278	5	(	(	PUNCT
bracis-28381	278	6	2021	2021	NUM
bracis-28381	278	7	)	)	PUNCT
bracis-28381	278	8	article	article	NOUN
bracis-28381	278	9	  	  	SPACE
bracis-28381	278	10	google	google	PROPN
bracis-28381	278	11	scholar	scholar	NOUN
bracis-28381	278	12	  	  	SPACE
bracis-28381	278	13	srivastava	srivastava	PROPN
bracis-28381	278	14	,	,	PUNCT
bracis-28381	278	15	n.	n.	PROPN
bracis-28381	278	16	,	,	PUNCT
bracis-28381	278	17	hinton	hinton	PROPN
bracis-28381	278	18	,	,	PUNCT
bracis-28381	278	19	g.	g.	PROPN
bracis-28381	278	20	,	,	PUNCT
bracis-28381	278	21	krizhevsky	krizhevsky	PROPN
bracis-28381	278	22	,	,	PUNCT
bracis-28381	278	23	a.	a.	NOUN
bracis-28381	278	24	,	,	PUNCT
bracis-28381	278	25	sutskever	sutskever	PROPN
bracis-28381	278	26	,	,	PUNCT
bracis-28381	278	27	i.	i.	PROPN
bracis-28381	278	28	,	,	PUNCT
bracis-28381	278	29	salakhutdinov	salakhutdinov	PROPN
bracis-28381	278	30	,	,	PUNCT
bracis-28381	278	31	r.	r.	NOUN
bracis-28381	278	32	:	:	PUNCT
bracis-28381	279	1	dropout	dropout	NOUN
bracis-28381	279	2	:	:	PUNCT
bracis-28381	279	3	a	a	DET
bracis-28381	279	4	simple	simple	ADJ
bracis-28381	279	5	way	way	NOUN
bracis-28381	279	6	to	to	PART
bracis-28381	279	7	prevent	prevent	VERB
bracis-28381	279	8	neural	neural	ADJ
bracis-28381	279	9	networks	network	NOUN
bracis-28381	279	10	from	from	ADP
bracis-28381	279	11	overfitting	overfitte	VERB
bracis-28381	279	12	.	.	PUNCT
bracis-28381	280	1	j.	j.	PROPN
bracis-28381	280	2	mach	mach	PROPN
bracis-28381	280	3	.	.	PUNCT
bracis-28381	281	1	learn	learn	VERB
bracis-28381	281	2	.	.	PUNCT
bracis-28381	282	1	res	re	NOUN
bracis-28381	282	2	.	.	PROPN
bracis-28381	282	3	15(1	15(1	NUM
bracis-28381	282	4	)	)	PUNCT
bracis-28381	282	5	,	,	PUNCT
bracis-28381	282	6	1929–1958	1929–1958	NUM
bracis-28381	282	7	(	(	PUNCT
bracis-28381	282	8	2014	2014	NUM
bracis-28381	282	9	)	)	PUNCT
bracis-28381	282	10	mathscinet	mathscinet	NOUN
bracis-28381	282	11	  	  	SPACE
bracis-28381	282	12	math	math	NOUN
bracis-28381	282	13	  	  	SPACE
bracis-28381	282	14	google	google	PROPN
bracis-28381	282	15	scholar	scholar	NOUN
bracis-28381	282	16	  	  	SPACE
bracis-28381	282	17	vijh	vijh	NOUN
bracis-28381	282	18	,	,	PUNCT
bracis-28381	282	19	m.	m.	NOUN
bracis-28381	282	20	,	,	PUNCT
bracis-28381	282	21	chandola	chandola	PROPN
bracis-28381	282	22	,	,	PUNCT
bracis-28381	282	23	d.	d.	PROPN
bracis-28381	282	24	,	,	PUNCT
bracis-28381	282	25	tikkiwal	tikkiwal	PROPN
bracis-28381	282	26	,	,	PUNCT
bracis-28381	282	27	v.a	v.a	PROPN
bracis-28381	282	28	.	.	PROPN
bracis-28381	282	29	,	,	PUNCT
bracis-28381	282	30	kumar	kumar	PROPN
bracis-28381	282	31	,	,	PUNCT
bracis-28381	282	32	a.	a.	NOUN
bracis-28381	282	33	:	:	PUNCT
bracis-28381	282	34	stock	stock	NOUN
bracis-28381	282	35	closing	closing	NOUN
bracis-28381	282	36	price	price	NOUN
bracis-28381	282	37	prediction	prediction	NOUN
bracis-28381	282	38	using	use	VERB
bracis-28381	282	39	machine	machine	NOUN
bracis-28381	282	40	learning	learn	VERB
bracis-28381	282	41	techniques	technique	NOUN
bracis-28381	282	42	.	.	PUNCT
bracis-28381	283	1	procedia	procedia	PROPN
bracis-28381	283	2	comput	comput	NOUN
bracis-28381	283	3	.	.	PUNCT
bracis-28381	284	1	sci	sci	PROPN
bracis-28381	284	2	.	.	PROPN
bracis-28381	284	3	167	167	NUM
bracis-28381	284	4	,	,	PUNCT
bracis-28381	284	5	599–606	599–606	NUM
bracis-28381	284	6	(	(	PUNCT
bracis-28381	284	7	2020	2020	NUM
bracis-28381	284	8	)	)	PUNCT
bracis-28381	284	9	article	article	NOUN
bracis-28381	284	10	  	  	SPACE
bracis-28381	284	11	google	google	PROPN
bracis-28381	284	12	scholar	scholar	NOUN
bracis-28381	284	13	  	  	SPACE
bracis-28381	284	14	download	download	NOUN
bracis-28381	284	15	references	reference	NOUN
bracis-28381	284	16	author	author	NOUN
bracis-28381	284	17	information	information	NOUN
bracis-28381	284	18	authors	author	NOUN
bracis-28381	284	19	and	and	CCONJ
bracis-28381	284	20	affiliations	affiliation	NOUN
bracis-28381	284	21	computing	computing	PROPN
bracis-28381	284	22	department	department	PROPN
bracis-28381	284	23	,	,	PUNCT
bracis-28381	284	24	federal	federal	ADJ
bracis-28381	284	25	university	university	PROPN
bracis-28381	284	26	of	of	ADP
bracis-28381	284	27	ouro	ouro	PROPN
bracis-28381	284	28	preto	preto	PROPN
bracis-28381	284	29	,	,	PUNCT
bracis-28381	284	30	ouro	ouro	PROPN
bracis-28381	284	31	preto	preto	PROPN
bracis-28381	284	32	,	,	PUNCT
bracis-28381	284	33	brazil	brazil	PROPN
bracis-28381	284	34	filipe	filipe	PROPN
bracis-28381	284	35	ramos	ramos	PROPN
bracis-28381	284	36	,	,	PUNCT
bracis-28381	284	37	 	 	SPACE
bracis-28381	284	38	guilherme	guilherme	PROPN
bracis-28381	284	39	silva	silva	PROPN
bracis-28381	284	40	,	,	PUNCT
bracis-28381	284	41	 	 	SPACE
bracis-28381	284	42	eduardo	eduardo	PROPN
bracis-28381	284	43	luz	luz	PROPN
bracis-28381	284	44	 	 	SPACE
bracis-28381	284	45	&	&	CCONJ
bracis-28381	284	46	 	 	SPACE
bracis-28381	284	47	pedro	pedro	PROPN
bracis-28381	284	48	silva	silva	PROPN
bracis-28381	284	49	authors	author	NOUN
bracis-28381	284	50	filipe	filipe	PROPN
bracis-28381	284	51	ramosview	ramosview	PROPN
bracis-28381	284	52	author	author	NOUN
bracis-28381	284	53	publications	publication	VERB
bracis-28381	284	54	search	search	NOUN
bracis-28381	284	55	author	author	NOUN
bracis-28381	284	56	on	on	ADP
bracis-28381	284	57	:	:	PUNCT
bracis-28381	284	58	pubmed	pubmed	PROPN
bracis-28381	284	59	 	 	SPACE
bracis-28381	284	60	google	google	PROPN
bracis-28381	284	61	scholar	scholar	NOUN
bracis-28381	284	62	guilherme	guilherme	PROPN
bracis-28381	284	63	silvaview	silvaview	PROPN
bracis-28381	284	64	author	author	NOUN
bracis-28381	284	65	publications	publication	NOUN
bracis-28381	284	66	search	search	NOUN
bracis-28381	284	67	author	author	NOUN
bracis-28381	284	68	on	on	ADP
bracis-28381	284	69	:	:	PUNCT
bracis-28381	284	70	pubmed	pubmed	PROPN
bracis-28381	284	71	 	 	SPACE
bracis-28381	284	72	google	google	PROPN
bracis-28381	284	73	scholar	scholar	PROPN
bracis-28381	284	74	eduardo	eduardo	PROPN
bracis-28381	284	75	luzview	luzview	PROPN
bracis-28381	284	76	author	author	NOUN
bracis-28381	284	77	publications	publication	NOUN
bracis-28381	284	78	search	search	NOUN
bracis-28381	284	79	author	author	NOUN
bracis-28381	284	80	on	on	ADP
bracis-28381	284	81	:	:	PUNCT
bracis-28381	284	82	pubmed	pubmed	PROPN
bracis-28381	284	83	 	 	SPACE
bracis-28381	284	84	google	google	PROPN
bracis-28381	284	85	scholar	scholar	PROPN
bracis-28381	284	86	pedro	pedro	PROPN
bracis-28381	284	87	silvaview	silvaview	PROPN
bracis-28381	284	88	author	author	NOUN
bracis-28381	284	89	publications	publication	NOUN
bracis-28381	284	90	search	search	NOUN
bracis-28381	284	91	author	author	NOUN
bracis-28381	284	92	on	on	ADP
bracis-28381	284	93	:	:	PUNCT
bracis-28381	284	94	pubmed	pubmed	PROPN
bracis-28381	284	95	 	 	SPACE
bracis-28381	284	96	google	google	PROPN
bracis-28381	284	97	scholar	scholar	NOUN
bracis-28381	284	98	corresponding	correspond	VERB
bracis-28381	284	99	author	author	NOUN
bracis-28381	284	100	correspondence	correspondence	NOUN
bracis-28381	284	101	to	to	ADP
bracis-28381	284	102	filipe	filipe	PROPN
bracis-28381	284	103	ramos	ramos	PROPN
bracis-28381	284	104	.	.	PUNCT
bracis-28381	285	1	editor	editor	NOUN
bracis-28381	285	2	information	information	NOUN
bracis-28381	285	3	editors	editor	NOUN
bracis-28381	285	4	and	and	CCONJ
bracis-28381	285	5	affiliations	affiliation	NOUN
bracis-28381	285	6	federal	federal	PROPN
bracis-28381	285	7	university	university	PROPN
bracis-28381	285	8	of	of	ADP
bracis-28381	285	9	são	são	PROPN
bracis-28381	285	10	carlos	carlos	PROPN
bracis-28381	285	11	,	,	PUNCT
bracis-28381	285	12	são	são	PROPN
bracis-28381	285	13	carlos	carlos	PROPN
bracis-28381	285	14	,	,	PUNCT
bracis-28381	285	15	brazil	brazil	PROPN
bracis-28381	285	16	murilo	murilo	PROPN
bracis-28381	285	17	c.	c.	PROPN
bracis-28381	285	18	naldi	naldi	PROPN
bracis-28381	285	19	centro	centro	PROPN
bracis-28381	285	20	universitario	universitario	PROPN
bracis-28381	285	21	da	da	PROPN
bracis-28381	285	22	fei	fei	PROPN
bracis-28381	285	23	,	,	PUNCT
bracis-28381	285	24	são	são	PROPN
bracis-28381	285	25	bernardo	bernardo	PROPN
bracis-28381	285	26	do	do	AUX
bracis-28381	285	27	campo	campo	PROPN
bracis-28381	285	28	,	,	PUNCT
bracis-28381	285	29	brazil	brazil	PROPN
bracis-28381	285	30	reinaldo	reinaldo	PROPN
bracis-28381	285	31	a.	a.	PROPN
bracis-28381	285	32	c.	c.	PROPN
bracis-28381	285	33	bianchi	bianchi	PROPN
bracis-28381	285	34	rights	right	NOUN
bracis-28381	285	35	and	and	CCONJ
bracis-28381	285	36	permissions	permission	NOUN
bracis-28381	285	37	reprints	reprint	NOUN
bracis-28381	285	38	and	and	CCONJ
bracis-28381	285	39	permissions	permission	VERB
bracis-28381	285	40	copyright	copyright	NOUN
bracis-28381	285	41	information	information	NOUN
bracis-28381	285	42	©	©	ADP
bracis-28381	285	43	2023	2023	NUM
bracis-28381	285	44	the	the	DET
bracis-28381	285	45	author(s	author(s	NOUN
bracis-28381	285	46	)	)	PUNCT
bracis-28381	285	47	,	,	PUNCT
bracis-28381	285	48	under	under	ADP
bracis-28381	285	49	exclusive	exclusive	ADJ
bracis-28381	285	50	license	license	NOUN
bracis-28381	285	51	to	to	ADP
bracis-28381	285	52	springer	springer	NOUN
bracis-28381	285	53	nature	nature	PROPN
bracis-28381	285	54	switzerland	switzerland	PROPN
bracis-28381	285	55	ag	ag	PROPN
bracis-28381	285	56	about	about	ADP
bracis-28381	285	57	this	this	DET
bracis-28381	285	58	paper	paper	NOUN
bracis-28381	285	59	cite	cite	VERB
bracis-28381	285	60	this	this	DET
bracis-28381	285	61	paper	paper	NOUN
bracis-28381	285	62	ramos	ramos	PROPN
bracis-28381	285	63	,	,	PUNCT
bracis-28381	285	64	f.	f.	PROPN
bracis-28381	285	65	,	,	PUNCT
bracis-28381	285	66	silva	silva	PROPN
bracis-28381	285	67	,	,	PUNCT
bracis-28381	285	68	g.	g.	PROPN
bracis-28381	285	69	,	,	PUNCT
bracis-28381	285	70	luz	luz	PROPN
bracis-28381	285	71	,	,	PUNCT
bracis-28381	285	72	e.	e.	PROPN
bracis-28381	285	73	,	,	PUNCT
bracis-28381	285	74	silva	silva	PROPN
bracis-28381	285	75	,	,	PUNCT
bracis-28381	285	76	p.	p.	NOUN
bracis-28381	285	77	(	(	PUNCT
bracis-28381	285	78	2023	2023	NUM
bracis-28381	285	79	)	)	PUNCT
bracis-28381	285	80	.	.	PUNCT
bracis-28381	286	1	enhancing	enhance	VERB
bracis-28381	286	2	stock	stock	NOUN
bracis-28381	286	3	market	market	NOUN
bracis-28381	286	4	predictions	prediction	NOUN
bracis-28381	286	5	through	through	ADP
bracis-28381	286	6	the	the	DET
bracis-28381	286	7	 	 	SPACE
bracis-28381	286	8	integration	integration	NOUN
bracis-28381	286	9	of	of	ADP
bracis-28381	286	10	 	 	SPACE
bracis-28381	286	11	convolutional	convolutional	ADJ
bracis-28381	286	12	and	and	CCONJ
bracis-28381	286	13	 	 	SPACE
bracis-28381	286	14	recursive	recursive	ADJ
bracis-28381	286	15	lstm	lstm	NOUN
bracis-28381	286	16	blocks	block	NOUN
bracis-28381	286	17	:	:	PUNCT
bracis-28381	286	18	a	a	DET
bracis-28381	286	19	cross	cross	ADJ
bracis-28381	286	20	-	-	ADJ
bracis-28381	286	21	market	market	ADJ
bracis-28381	286	22	analysis	analysis	NOUN
bracis-28381	286	23	.	.	PUNCT
bracis-28381	287	1	in	in	ADP
bracis-28381	287	2	:	:	PUNCT
bracis-28381	287	3	naldi	naldi	PROPN
bracis-28381	287	4	,	,	PUNCT
bracis-28381	287	5	m.c	m.c	PROPN
bracis-28381	287	6	.	.	PROPN
bracis-28381	287	7	,	,	PUNCT
bracis-28381	287	8	bianchi	bianchi	PROPN
bracis-28381	287	9	,	,	PUNCT
bracis-28381	287	10	r.a.c	r.a.c	ADP
bracis-28381	287	11	.	.	PUNCT
bracis-28381	287	12	(	(	PUNCT
bracis-28381	287	13	eds	ed	NOUN
bracis-28381	287	14	)	)	PUNCT
bracis-28381	287	15	intelligent	intelligent	ADJ
bracis-28381	287	16	systems	system	NOUN
bracis-28381	287	17	.	.	PUNCT
bracis-28381	288	1	bracis	bracis	PROPN
bracis-28381	288	2	2023	2023	NUM
bracis-28381	288	3	.	.	PUNCT
bracis-28381	289	1	lecture	lecture	NOUN
bracis-28381	289	2	notes	note	NOUN
bracis-28381	289	3	in	in	ADP
bracis-28381	289	4	computer	computer	NOUN
bracis-28381	289	5	science	science	NOUN
bracis-28381	289	6	(	(	PUNCT
bracis-28381	289	7	)	)	PUNCT
bracis-28381	289	8	,	,	PUNCT
bracis-28381	289	9	vol	vol	NOUN
bracis-28381	289	10	14196	14196	NUM
bracis-28381	289	11	.	.	PUNCT
bracis-28381	290	1	springer	springer	NOUN
bracis-28381	290	2	,	,	PUNCT
bracis-28381	290	3	cham	cham	PROPN
bracis-28381	290	4	.	.	PUNCT
bracis-28381	291	1	https://doi.org/10.1007/978-3-031-45389-2_7	https://doi.org/10.1007/978-3-031-45389-2_7	PROPN
bracis-28381	291	2	download	download	PROPN
bracis-28381	291	3	citation	citation	NOUN
bracis-28381	291	4	.ris	.ris	PUNCT
bracis-28381	292	1	.enw	.enw	PROPN
bracis-28381	292	2	.bib	.bib	PUNCT
bracis-28381	293	1	doi	doi	PROPN
bracis-28381	293	2	:	:	PUNCT
bracis-28381	293	3	https://doi.org/10.1007/978-3-031-45389-2_7	https://doi.org/10.1007/978-3-031-45389-2_7	PUNCT
bracis-28381	293	4	published	publish	VERB
bracis-28381	293	5	:	:	PUNCT
bracis-28381	293	6	12	12	NUM
bracis-28381	293	7	october	october	PROPN
bracis-28381	293	8	2023	2023	NUM
bracis-28381	293	9	publisher	publisher	NOUN
bracis-28381	293	10	name	name	NOUN
bracis-28381	293	11	:	:	PUNCT
bracis-28381	293	12	springer	springer	NOUN
bracis-28381	293	13	,	,	PUNCT
bracis-28381	293	14	cham	cham	PROPN
bracis-28381	293	15	print	print	PROPN
bracis-28381	293	16	isbn	isbn	PROPN
bracis-28381	293	17	:	:	PUNCT
bracis-28381	293	18	978	978	NUM
bracis-28381	293	19	-	-	SYM
bracis-28381	293	20	3	3	NUM
bracis-28381	293	21	-	-	PUNCT
bracis-28381	293	22	031	031	NUM
bracis-28381	293	23	-	-	PUNCT
bracis-28381	293	24	45388	45388	NUM
bracis-28381	293	25	-	-	SYM
bracis-28381	293	26	5	5	NUM
bracis-28381	293	27	online	online	ADJ
bracis-28381	293	28	isbn	isbn	NOUN
bracis-28381	293	29	:	:	PUNCT
bracis-28381	293	30	978	978	NUM
bracis-28381	293	31	-	-	SYM
bracis-28381	293	32	3	3	NUM
bracis-28381	293	33	-	-	PUNCT
bracis-28381	293	34	031	031	NUM
bracis-28381	293	35	-	-	PUNCT
bracis-28381	293	36	45389	45389	NUM
bracis-28381	293	37	-	-	SYM
bracis-28381	293	38	2	2	NUM
bracis-28381	293	39	ebook	ebook	NOUN
bracis-28381	293	40	packages	package	NOUN
bracis-28381	293	41	:	:	PUNCT
bracis-28381	293	42	computer	computer	NOUN
bracis-28381	293	43	sciencecomputer	sciencecomputer	NOUN
bracis-28381	293	44	science	science	NOUN
bracis-28381	293	45	(	(	PUNCT
bracis-28381	293	46	r0	r0	NOUN
bracis-28381	293	47	)	)	PUNCT
bracis-28381	293	48	share	share	VERB
bracis-28381	293	49	this	this	DET
bracis-28381	293	50	paper	paper	NOUN
bracis-28381	293	51	anyone	anyone	PRON
bracis-28381	293	52	you	you	PRON
bracis-28381	293	53	share	share	VERB
bracis-28381	293	54	the	the	DET
bracis-28381	293	55	following	follow	VERB
bracis-28381	293	56	link	link	NOUN
bracis-28381	293	57	with	with	ADP
bracis-28381	293	58	will	will	AUX
bracis-28381	293	59	be	be	AUX
bracis-28381	293	60	able	able	ADJ
bracis-28381	293	61	to	to	PART
bracis-28381	293	62	read	read	VERB
bracis-28381	293	63	this	this	DET
bracis-28381	293	64	content	content	NOUN
bracis-28381	293	65	:	:	PUNCT
bracis-28381	293	66	get	get	VERB
bracis-28381	293	67	shareable	shareable	ADJ
bracis-28381	293	68	linksorry	linksorry	NOUN
bracis-28381	293	69	,	,	PUNCT
bracis-28381	293	70	a	a	DET
bracis-28381	293	71	shareable	shareable	ADJ
bracis-28381	293	72	link	link	NOUN
bracis-28381	293	73	is	be	AUX
bracis-28381	293	74	not	not	PART
bracis-28381	293	75	currently	currently	ADV
bracis-28381	293	76	available	available	ADJ
bracis-28381	293	77	for	for	ADP
bracis-28381	293	78	this	this	DET
bracis-28381	293	79	article	article	NOUN
bracis-28381	293	80	.	.	PUNCT
bracis-28381	294	1	copy	copy	VERB
bracis-28381	294	2	shareable	shareable	ADJ
bracis-28381	294	3	link	link	NOUN
bracis-28381	294	4	to	to	PART
bracis-28381	294	5	clipboard	clipboard	NOUN
bracis-28381	294	6	provided	provide	VERB
bracis-28381	294	7	by	by	ADP
bracis-28381	294	8	the	the	DET
bracis-28381	294	9	springer	springer	NOUN
bracis-28381	294	10	nature	nature	PROPN
bracis-28381	294	11	sharedit	sharedit	PROPN
bracis-28381	294	12	content	content	NOUN
bracis-28381	294	13	-	-	PUNCT
bracis-28381	294	14	sharing	share	VERB
bracis-28381	294	15	initiative	initiative	NOUN
bracis-28381	294	16	keywords	keyword	NOUN
bracis-28381	294	17	stock	stock	NOUN
bracis-28381	294	18	prince	prince	PROPN
bracis-28381	294	19	machine	machine	NOUN
bracis-28381	294	20	learning	learn	VERB
bracis-28381	294	21	cnn	cnn	PROPN
bracis-28381	294	22	lstm	lstm	PROPN
bracis-28381	294	23	publish	publish	VERB
bracis-28381	294	24	with	with	ADP
bracis-28381	294	25	us	us	PROPN
bracis-28381	294	26	policies	policy	NOUN
bracis-28381	294	27	and	and	CCONJ
bracis-28381	294	28	ethics	ethic	NOUN
bracis-28381	294	29	profiles	profile	NOUN
bracis-28381	294	30	eduardo	eduardo	PROPN
bracis-28381	294	31	luz	luz	PROPN
bracis-28381	294	32	view	view	PROPN
bracis-28381	294	33	author	author	NOUN
bracis-28381	294	34	profile	profile	NOUN
bracis-28381	294	35	search	search	NOUN
bracis-28381	294	36	search	search	NOUN
bracis-28381	294	37	by	by	ADP
bracis-28381	294	38	keyword	keyword	NOUN
bracis-28381	294	39	or	or	CCONJ
bracis-28381	294	40	author	author	NOUN
bracis-28381	294	41	search	search	NOUN
bracis-28381	294	42	navigation	navigation	NOUN
bracis-28381	294	43	find	find	VERB
bracis-28381	294	44	a	a	DET
bracis-28381	294	45	journal	journal	NOUN
bracis-28381	294	46	publish	publish	VERB
bracis-28381	294	47	with	with	ADP
bracis-28381	294	48	us	we	PRON
bracis-28381	294	49	track	track	VERB
bracis-28381	294	50	your	your	PRON
bracis-28381	294	51	research	research	NOUN
bracis-28381	294	52	discover	discover	VERB
bracis-28381	294	53	content	content	NOUN
bracis-28381	294	54	journals	journal	NOUN
bracis-28381	294	55	a	a	DET
bracis-28381	294	56	-	-	PUNCT
bracis-28381	294	57	z	z	NOUN
bracis-28381	294	58	books	book	NOUN
bracis-28381	294	59	a	a	DET
bracis-28381	294	60	-	-	PUNCT
bracis-28381	294	61	z	z	NOUN
bracis-28381	294	62	publish	publish	NOUN
bracis-28381	294	63	with	with	ADP
bracis-28381	294	64	us	us	PROPN
bracis-28381	294	65	journal	journal	PROPN
bracis-28381	294	66	finder	finder	PROPN
bracis-28381	294	67	publish	publish	VERB
bracis-28381	294	68	your	your	PRON
bracis-28381	294	69	research	research	NOUN
bracis-28381	294	70	language	language	NOUN
bracis-28381	294	71	editing	edit	VERB
bracis-28381	294	72	open	open	ADJ
bracis-28381	294	73	access	access	NOUN
bracis-28381	294	74	publishing	publishing	NOUN
bracis-28381	294	75	products	product	NOUN
bracis-28381	294	76	and	and	CCONJ
bracis-28381	294	77	services	service	NOUN
bracis-28381	294	78	our	our	PRON
bracis-28381	294	79	products	product	NOUN
bracis-28381	294	80	librarians	librarian	VERB
bracis-28381	294	81	societies	society	NOUN
bracis-28381	294	82	partners	partner	NOUN
bracis-28381	294	83	and	and	CCONJ
bracis-28381	294	84	advertisers	advertiser	NOUN
bracis-28381	294	85	our	our	PRON
bracis-28381	294	86	brands	brand	NOUN
bracis-28381	294	87	springer	springer	NOUN
bracis-28381	294	88	nature	nature	PROPN
bracis-28381	294	89	portfolio	portfolio	PROPN
bracis-28381	294	90	bmc	bmc	PROPN
bracis-28381	294	91	palgrave	palgrave	PROPN
bracis-28381	294	92	macmillan	macmillan	PROPN
bracis-28381	294	93	apress	apress	PROPN
bracis-28381	294	94	discover	discover	VERB
bracis-28381	294	95	your	your	PRON
bracis-28381	294	96	privacy	privacy	NOUN
bracis-28381	294	97	choices	choice	NOUN
bracis-28381	294	98	/	/	SYM
bracis-28381	294	99	manage	manage	NOUN
bracis-28381	294	100	cookies	cookie	NOUN
bracis-28381	294	101	your	your	PRON
bracis-28381	294	102	us	us	PROPN
bracis-28381	295	1	state	state	NOUN
bracis-28381	295	2	privacy	privacy	NOUN
bracis-28381	295	3	rights	right	NOUN
bracis-28381	295	4	accessibility	accessibility	NOUN
bracis-28381	295	5	statement	statement	NOUN
bracis-28381	295	6	terms	term	NOUN
bracis-28381	295	7	and	and	CCONJ
bracis-28381	295	8	conditions	condition	NOUN
bracis-28381	295	9	privacy	privacy	NOUN
bracis-28381	295	10	policy	policy	NOUN
bracis-28381	295	11	help	help	NOUN
bracis-28381	295	12	and	and	CCONJ
bracis-28381	295	13	support	support	VERB
bracis-28381	295	14	legal	legal	ADJ
bracis-28381	295	15	notice	notice	NOUN
bracis-28381	295	16	cancel	cancel	VERB
bracis-28381	295	17	contracts	contract	NOUN
bracis-28381	295	18	here	here	ADV
bracis-28381	295	19	129.74.145.123	129.74.145.123	NUM
bracis-28381	295	20	hesburgh	hesburgh	PROPN
bracis-28381	295	21	library	library	PROPN
bracis-28381	295	22	er	er	INTJ
bracis-28381	295	23	unit	unit	NOUN
bracis-28381	295	24	(	(	PUNCT
bracis-28381	295	25	3005732405	3005732405	NUM
bracis-28381	295	26	)	)	PUNCT
bracis-28381	295	27	northeast	northeast	ADJ
bracis-28381	295	28	research	research	NOUN
bracis-28381	295	29	libraries	library	NOUN
bracis-28381	295	30	(	(	PUNCT
bracis-28381	295	31	nerl	nerl	PROPN
bracis-28381	295	32	)	)	PUNCT
bracis-28381	295	33	(	(	PUNCT
bracis-28381	295	34	8200828607	8200828607	NUM
bracis-28381	295	35	)	)	PUNCT
bracis-28381	295	36	nerl	nerl	VERB
bracis-28381	295	37	ta	ta	X
bracis-28381	295	38	account	account	NOUN
bracis-28381	295	39	(	(	PUNCT
bracis-28381	295	40	3006206169	3006206169	NUM
bracis-28381	295	41	)	)	PUNCT
bracis-28381	295	42	university	university	NOUN
bracis-28381	295	43	of	of	ADP
bracis-28381	295	44	notre	notre	PROPN
bracis-28381	295	45	dame	dame	PROPN
bracis-28381	295	46	hesburgh	hesburgh	PROPN
bracis-28381	295	47	library	library	NOUN
bracis-28381	295	48	(	(	PUNCT
bracis-28381	295	49	3000184373	3000184373	NUM
bracis-28381	295	50	)	)	PUNCT
bracis-28381	296	1	©	©	ADP
bracis-28381	296	2	2025	2025	NUM
bracis-28381	296	3	springer	springer	NOUN
bracis-28381	296	4	nature	nature	NOUN