id	sid	tid	token	lemma	pos
fcis-11268	1	1	frontiers	frontier	NOUN
fcis-11268	1	2	in	in	ADP
fcis-11268	1	3	computing	computing	NOUN
fcis-11268	1	4	and	and	CCONJ
fcis-11268	1	5	intelligent	intelligent	ADJ
fcis-11268	1	6	systems	system	NOUN
fcis-11268	1	7	issn	issn	VERB
fcis-11268	1	8	:	:	PUNCT
fcis-11268	1	9	2832	2832	NUM
fcis-11268	1	10	-	-	SYM
fcis-11268	1	11	6024	6024	NUM
fcis-11268	1	12	|	|	NOUN
fcis-11268	1	13	vol	vol	NOUN
fcis-11268	1	14	.	.	PROPN
fcis-11268	2	1	4	4	NUM
fcis-11268	2	2	,	,	PUNCT
fcis-11268	2	3	no	no	INTJ
fcis-11268	2	4	.	.	NOUN
fcis-11268	2	5	3	3	NUM
fcis-11268	2	6	,	,	PUNCT
fcis-11268	2	7	2023	2023	NUM
fcis-11268	2	8	139	139	NUM
fcis-11268	2	9	emd‐bilstm	emd‐bilstm	NOUN
fcis-11268	2	10	stock	stock	NOUN
fcis-11268	2	11	price	price	NOUN
fcis-11268	2	12	trend	trend	NOUN
fcis-11268	2	13	forecasting	forecasting	NOUN
fcis-11268	2	14	model	model	NOUN
fcis-11268	2	15	based	base	VERB
fcis-11268	2	16	on	on	ADP
fcis-11268	2	17	investor	investor	NOUN
fcis-11268	2	18	sentiment	sentiment	NOUN
fcis-11268	2	19	tianyu	tianyu	VERB
fcis-11268	2	20	xu	xu	PROPN
fcis-11268	2	21	,	,	PUNCT
fcis-11268	2	22	xiaoling	xiaole	VERB
fcis-11268	2	23	he	he	PRON
fcis-11268	2	24	zhejiang	zhejiang	PROPN
fcis-11268	2	25	university	university	PROPN
fcis-11268	2	26	of	of	ADP
fcis-11268	2	27	science	science	NOUN
fcis-11268	2	28	and	and	CCONJ
fcis-11268	2	29	technology	technology	NOUN
fcis-11268	2	30	,	,	PUNCT
fcis-11268	2	31	hangzhou	hangzhou	PROPN
fcis-11268	2	32	310012	310012	NUM
fcis-11268	2	33	,	,	PUNCT
fcis-11268	2	34	china	china	PROPN
fcis-11268	2	35	abstract	abstract	NOUN
fcis-11268	2	36	:	:	PUNCT
fcis-11268	2	37	the	the	DET
fcis-11268	2	38	movement	movement	NOUN
fcis-11268	2	39	of	of	ADP
fcis-11268	2	40	stock	stock	NOUN
fcis-11268	2	41	prices	price	NOUN
fcis-11268	2	42	is	be	AUX
fcis-11268	2	43	the	the	DET
fcis-11268	2	44	focus	focus	NOUN
fcis-11268	2	45	of	of	ADP
fcis-11268	2	46	investors	investor	NOUN
fcis-11268	2	47	'	'	PART
fcis-11268	2	48	attention	attention	NOUN
fcis-11268	2	49	in	in	ADP
fcis-11268	2	50	the	the	DET
fcis-11268	2	51	stock	stock	NOUN
fcis-11268	2	52	market	market	NOUN
fcis-11268	2	53	,	,	PUNCT
fcis-11268	2	54	so	so	CCONJ
fcis-11268	2	55	stock	stock	NOUN
fcis-11268	2	56	price	price	NOUN
fcis-11268	2	57	trend	trend	NOUN
fcis-11268	2	58	prediction	prediction	NOUN
fcis-11268	2	59	has	have	AUX
fcis-11268	2	60	always	always	ADV
fcis-11268	2	61	been	be	AUX
fcis-11268	2	62	a	a	DET
fcis-11268	2	63	hot	hot	ADJ
fcis-11268	2	64	topic	topic	NOUN
fcis-11268	2	65	in	in	ADP
fcis-11268	2	66	quantitative	quantitative	ADJ
fcis-11268	2	67	investment	investment	NOUN
fcis-11268	2	68	research	research	NOUN
fcis-11268	2	69	.	.	PUNCT
fcis-11268	3	1	traditional	traditional	ADJ
fcis-11268	3	2	machine	machine	NOUN
fcis-11268	3	3	learning	learning	NOUN
fcis-11268	3	4	forecasting	forecasting	NOUN
fcis-11268	3	5	models	model	NOUN
fcis-11268	3	6	are	be	AUX
fcis-11268	3	7	difficult	difficult	ADJ
fcis-11268	3	8	to	to	PART
fcis-11268	3	9	process	process	VERB
fcis-11268	3	10	nonlinear	nonlinear	ADJ
fcis-11268	3	11	,	,	PUNCT
fcis-11268	3	12	high	high	ADJ
fcis-11268	3	13	-	-	PUNCT
fcis-11268	3	14	frequency	frequency	NOUN
fcis-11268	3	15	,	,	PUNCT
fcis-11268	3	16	high	high	ADJ
fcis-11268	3	17	-	-	PUNCT
fcis-11268	3	18	noise	noise	NOUN
fcis-11268	3	19	stock	stock	NOUN
fcis-11268	3	20	price	price	NOUN
fcis-11268	3	21	time	time	NOUN
fcis-11268	3	22	series	series	NOUN
fcis-11268	3	23	,	,	PUNCT
fcis-11268	3	24	which	which	PRON
fcis-11268	3	25	makes	make	VERB
fcis-11268	3	26	the	the	DET
fcis-11268	3	27	prediction	prediction	NOUN
fcis-11268	3	28	accuracy	accuracy	NOUN
fcis-11268	3	29	of	of	ADP
fcis-11268	3	30	stock	stock	NOUN
fcis-11268	3	31	price	price	NOUN
fcis-11268	3	32	trends	trend	NOUN
fcis-11268	3	33	low	low	ADJ
fcis-11268	3	34	.	.	PUNCT
fcis-11268	4	1	in	in	ADP
fcis-11268	4	2	order	order	NOUN
fcis-11268	4	3	to	to	PART
fcis-11268	4	4	improve	improve	VERB
fcis-11268	4	5	the	the	DET
fcis-11268	4	6	prediction	prediction	NOUN
fcis-11268	4	7	accuracy	accuracy	NOUN
fcis-11268	4	8	,	,	PUNCT
fcis-11268	4	9	according	accord	VERB
fcis-11268	4	10	to	to	ADP
fcis-11268	4	11	the	the	DET
fcis-11268	4	12	temporal	temporal	ADJ
fcis-11268	4	13	characteristics	characteristic	NOUN
fcis-11268	4	14	of	of	ADP
fcis-11268	4	15	stock	stock	NOUN
fcis-11268	4	16	price	price	NOUN
fcis-11268	4	17	data	datum	NOUN
fcis-11268	4	18	,	,	PUNCT
fcis-11268	4	19	it	it	PRON
fcis-11268	4	20	is	be	AUX
fcis-11268	4	21	proposed	propose	VERB
fcis-11268	4	22	to	to	PART
fcis-11268	4	23	use	use	VERB
fcis-11268	4	24	a	a	DET
fcis-11268	4	25	combination	combination	NOUN
fcis-11268	4	26	of	of	ADP
fcis-11268	4	27	empirical	empirical	ADJ
fcis-11268	4	28	mode	mode	NOUN
fcis-11268	4	29	decomposition	decomposition	NOUN
fcis-11268	4	30	(	(	PUNCT
fcis-11268	4	31	emd	emd	PROPN
fcis-11268	4	32	)	)	PUNCT
fcis-11268	4	33	,	,	PUNCT
fcis-11268	4	34	investor	investor	NOUN
fcis-11268	4	35	sentiment	sentiment	NOUN
fcis-11268	4	36	and	and	CCONJ
fcis-11268	4	37	two	two	NUM
fcis-11268	4	38	-	-	PUNCT
fcis-11268	4	39	way	way	NOUN
fcis-11268	4	40	long	long	ADJ
fcis-11268	4	41	short	short	ADJ
fcis-11268	4	42	-	-	PUNCT
fcis-11268	4	43	term	term	NOUN
fcis-11268	4	44	memory	memory	NOUN
fcis-11268	4	45	neural	neural	ADJ
fcis-11268	4	46	network	network	NOUN
fcis-11268	4	47	to	to	PART
fcis-11268	4	48	predict	predict	VERB
fcis-11268	4	49	the	the	DET
fcis-11268	4	50	rise	rise	NOUN
fcis-11268	4	51	and	and	CCONJ
fcis-11268	4	52	fall	fall	NOUN
fcis-11268	4	53	of	of	ADP
fcis-11268	4	54	stock	stock	NOUN
fcis-11268	4	55	prices	price	NOUN
fcis-11268	4	56	.	.	PUNCT
fcis-11268	5	1	firstly	firstly	ADV
fcis-11268	5	2	,	,	PUNCT
fcis-11268	5	3	the	the	DET
fcis-11268	5	4	empirical	empirical	ADJ
fcis-11268	5	5	mode	mode	NOUN
fcis-11268	5	6	decomposition	decomposition	NOUN
fcis-11268	5	7	algorithm	algorithm	NOUN
fcis-11268	5	8	is	be	AUX
fcis-11268	5	9	used	use	VERB
fcis-11268	5	10	to	to	PART
fcis-11268	5	11	extract	extract	VERB
fcis-11268	5	12	the	the	DET
fcis-11268	5	13	characteristics	characteristic	NOUN
fcis-11268	5	14	of	of	ADP
fcis-11268	5	15	the	the	DET
fcis-11268	5	16	stock	stock	NOUN
fcis-11268	5	17	price	price	NOUN
fcis-11268	5	18	time	time	NOUN
fcis-11268	5	19	series	series	NOUN
fcis-11268	5	20	on	on	ADP
fcis-11268	5	21	different	different	ADJ
fcis-11268	5	22	time	time	NOUN
fcis-11268	5	23	scales	scale	NOUN
fcis-11268	5	24	,	,	PUNCT
fcis-11268	5	25	and	and	CCONJ
fcis-11268	5	26	the	the	DET
fcis-11268	5	27	investor	investor	NOUN
fcis-11268	5	28	sentiment	sentiment	NOUN
fcis-11268	5	29	indicators	indicator	NOUN
fcis-11268	5	30	of	of	ADP
fcis-11268	5	31	the	the	DET
fcis-11268	5	32	text	text	NOUN
fcis-11268	5	33	from	from	ADP
fcis-11268	5	34	the	the	DET
fcis-11268	5	35	close	close	NOUN
fcis-11268	5	36	of	of	ADP
fcis-11268	5	37	the	the	DET
fcis-11268	5	38	previous	previous	ADJ
fcis-11268	5	39	stock	stock	NOUN
fcis-11268	5	40	trading	trading	NOUN
fcis-11268	5	41	day	day	NOUN
fcis-11268	5	42	to	to	ADP
fcis-11268	5	43	the	the	DET
fcis-11268	5	44	opening	opening	NOUN
fcis-11268	5	45	of	of	ADP
fcis-11268	5	46	the	the	DET
fcis-11268	5	47	next	next	ADJ
fcis-11268	5	48	trading	trading	NOUN
fcis-11268	5	49	day	day	NOUN
fcis-11268	5	50	are	be	AUX
fcis-11268	5	51	extracted	extract	VERB
fcis-11268	5	52	by	by	ADP
fcis-11268	5	53	constructing	construct	VERB
fcis-11268	5	54	a	a	DET
fcis-11268	5	55	financial	financial	ADJ
fcis-11268	5	56	sentiment	sentiment	NOUN
fcis-11268	5	57	dictionary	dictionary	NOUN
fcis-11268	5	58	,	,	PUNCT
fcis-11268	5	59	and	and	CCONJ
fcis-11268	5	60	finally	finally	ADV
fcis-11268	5	61	the	the	DET
fcis-11268	5	62	emd	emd	PROPN
fcis-11268	5	63	-	-	PUNCT
fcis-11268	5	64	bilstm	bilstm	NOUN
fcis-11268	5	65	model	model	NOUN
fcis-11268	5	66	is	be	AUX
fcis-11268	5	67	used	use	VERB
fcis-11268	5	68	to	to	PART
fcis-11268	5	69	predict	predict	VERB
fcis-11268	5	70	the	the	DET
fcis-11268	5	71	rise	rise	NOUN
fcis-11268	5	72	and	and	CCONJ
fcis-11268	5	73	fall	fall	NOUN
fcis-11268	5	74	of	of	ADP
fcis-11268	5	75	the	the	DET
fcis-11268	5	76	next	next	ADJ
fcis-11268	5	77	index	index	NOUN
fcis-11268	5	78	trading	trading	NOUN
fcis-11268	5	79	day	day	NOUN
fcis-11268	5	80	.	.	PUNCT
fcis-11268	6	1	experiments	experiment	NOUN
fcis-11268	6	2	on	on	ADP
fcis-11268	6	3	the	the	DET
fcis-11268	6	4	dataset	dataset	NOUN
fcis-11268	6	5	of	of	ADP
fcis-11268	6	6	stock	stock	NOUN
fcis-11268	6	7	price	price	NOUN
fcis-11268	6	8	series	series	NOUN
fcis-11268	6	9	show	show	VERB
fcis-11268	6	10	that	that	SCONJ
fcis-11268	6	11	the	the	DET
fcis-11268	6	12	optimized	optimize	VERB
fcis-11268	6	13	bilstm	bilstm	NOUN
fcis-11268	6	14	model	model	NOUN
fcis-11268	6	15	has	have	VERB
fcis-11268	6	16	strong	strong	ADJ
fcis-11268	6	17	predictive	predictive	ADJ
fcis-11268	6	18	ability	ability	NOUN
fcis-11268	6	19	for	for	ADP
fcis-11268	6	20	the	the	DET
fcis-11268	6	21	trend	trend	NOUN
fcis-11268	6	22	of	of	ADP
fcis-11268	6	23	consumer	consumer	NOUN
fcis-11268	6	24	sector	sector	NOUN
fcis-11268	6	25	indexes	index	NOUN
fcis-11268	6	26	.	.	PUNCT
fcis-11268	7	1	keywords	keyword	NOUN
fcis-11268	7	2	:	:	PUNCT
fcis-11268	7	3	bidirectional	bidirectional	ADJ
fcis-11268	7	4	long	long	ADJ
fcis-11268	7	5	short	short	ADJ
fcis-11268	7	6	-	-	PUNCT
fcis-11268	7	7	term	term	NOUN
fcis-11268	7	8	memory	memory	NOUN
fcis-11268	7	9	neural	neural	ADJ
fcis-11268	7	10	network	network	NOUN
fcis-11268	7	11	;	;	PUNCT
fcis-11268	7	12	empirical	empirical	ADJ
fcis-11268	7	13	mode	mode	NOUN
fcis-11268	7	14	decomposition	decomposition	NOUN
fcis-11268	7	15	;	;	PUNCT
fcis-11268	7	16	investor	investor	NOUN
fcis-11268	7	17	sentiment	sentiment	NOUN
fcis-11268	7	18	;	;	PUNCT
fcis-11268	7	19	index	index	NOUN
fcis-11268	7	20	rise	rise	NOUN
fcis-11268	7	21	and	and	CCONJ
fcis-11268	7	22	fall	fall	VERB
fcis-11268	7	23	forecasts	forecast	NOUN
fcis-11268	7	24	.	.	PUNCT
fcis-11268	8	1	1	1	X
fcis-11268	8	2	.	.	X
fcis-11268	8	3	introduction	introduction	NOUN
fcis-11268	8	4	with	with	ADP
fcis-11268	8	5	the	the	DET
fcis-11268	8	6	rise	rise	NOUN
fcis-11268	8	7	of	of	ADP
fcis-11268	8	8	cutting	cut	VERB
fcis-11268	8	9	-	-	PUNCT
fcis-11268	8	10	edge	edge	NOUN
fcis-11268	8	11	technologies	technology	NOUN
fcis-11268	8	12	such	such	ADJ
fcis-11268	8	13	as	as	ADP
fcis-11268	8	14	artificial	artificial	ADJ
fcis-11268	8	15	intelligence	intelligence	NOUN
fcis-11268	8	16	and	and	CCONJ
fcis-11268	8	17	big	big	ADJ
fcis-11268	8	18	data	datum	NOUN
fcis-11268	8	19	,	,	PUNCT
fcis-11268	8	20	machine	machine	NOUN
fcis-11268	8	21	learning	learning	NOUN
fcis-11268	8	22	methods	method	NOUN
fcis-11268	8	23	have	have	AUX
fcis-11268	8	24	been	be	AUX
fcis-11268	8	25	widely	widely	ADV
fcis-11268	8	26	applied	apply	VERB
fcis-11268	8	27	to	to	ADP
fcis-11268	8	28	the	the	DET
fcis-11268	8	29	research	research	NOUN
fcis-11268	8	30	of	of	ADP
fcis-11268	8	31	stock	stock	NOUN
fcis-11268	8	32	price	price	NOUN
fcis-11268	8	33	prediction	prediction	NOUN
fcis-11268	8	34	and	and	CCONJ
fcis-11268	8	35	trading	trading	NOUN
fcis-11268	8	36	decisions	decision	NOUN
fcis-11268	8	37	[	[	X
fcis-11268	8	38	1	1	NUM
fcis-11268	8	39	]	]	PUNCT
fcis-11268	8	40	,	,	PUNCT
fcis-11268	8	41	zhang	zhang	PROPN
fcis-11268	8	42	xiao	xiao	PROPN
fcis-11268	8	43	et	et	PROPN
fcis-11268	8	44	al	al	PROPN
fcis-11268	8	45	.	.	PUNCT
fcis-11268	9	1	[	[	X
fcis-11268	9	2	2	2	X
fcis-11268	9	3	]	]	PUNCT
fcis-11268	9	4	used	use	VERB
fcis-11268	9	5	gradient	gradient	NOUN
fcis-11268	9	6	boosting	boost	VERB
fcis-11268	9	7	decision	decision	NOUN
fcis-11268	9	8	tree	tree	NOUN
fcis-11268	9	9	(	(	PUNCT
fcis-11268	9	10	gbdt	gbdt	NOUN
fcis-11268	9	11	)	)	PUNCT
fcis-11268	9	12	to	to	PART
fcis-11268	9	13	predict	predict	VERB
fcis-11268	9	14	stock	stock	NOUN
fcis-11268	9	15	trends	trend	NOUN
fcis-11268	9	16	,	,	PUNCT
fcis-11268	9	17	and	and	CCONJ
fcis-11268	9	18	the	the	DET
fcis-11268	9	19	results	result	NOUN
fcis-11268	9	20	showed	show	VERB
fcis-11268	9	21	that	that	SCONJ
fcis-11268	9	22	the	the	DET
fcis-11268	9	23	prediction	prediction	NOUN
fcis-11268	9	24	effect	effect	NOUN
fcis-11268	9	25	of	of	ADP
fcis-11268	9	26	gbdt	gbdt	NOUN
fcis-11268	9	27	model	model	NOUN
fcis-11268	9	28	was	be	AUX
fcis-11268	9	29	better	well	ADJ
fcis-11268	9	30	than	than	ADP
fcis-11268	9	31	that	that	PRON
fcis-11268	9	32	of	of	ADP
fcis-11268	9	33	linear	linear	ADJ
fcis-11268	9	34	regression	regression	NOUN
fcis-11268	9	35	and	and	CCONJ
fcis-11268	9	36	random	random	ADJ
fcis-11268	9	37	forest	forest	NOUN
fcis-11268	9	38	model	model	NOUN
fcis-11268	9	39	.	.	PUNCT
fcis-11268	10	1	shallow	shallow	ADJ
fcis-11268	10	2	machine	machine	NOUN
fcis-11268	10	3	learning	learn	VERB
fcis-11268	10	4	algorithms	algorithm	NOUN
fcis-11268	10	5	have	have	VERB
fcis-11268	10	6	simple	simple	ADJ
fcis-11268	10	7	structure	structure	NOUN
fcis-11268	10	8	,	,	PUNCT
fcis-11268	10	9	poor	poor	ADJ
fcis-11268	10	10	generalization	generalization	NOUN
fcis-11268	10	11	ability	ability	NOUN
fcis-11268	10	12	,	,	PUNCT
fcis-11268	10	13	easy	easy	ADJ
fcis-11268	10	14	to	to	PART
fcis-11268	10	15	fall	fall	VERB
fcis-11268	10	16	into	into	ADP
fcis-11268	10	17	local	local	ADJ
fcis-11268	10	18	optimal	optimal	ADJ
fcis-11268	10	19	solutions	solution	NOUN
fcis-11268	10	20	[	[	X
fcis-11268	10	21	3	3	NUM
fcis-11268	10	22	]	]	PUNCT
fcis-11268	10	23	,	,	PUNCT
fcis-11268	10	24	and	and	CCONJ
fcis-11268	10	25	are	be	AUX
fcis-11268	10	26	limited	limit	VERB
fcis-11268	10	27	in	in	ADP
fcis-11268	10	28	processing	process	VERB
fcis-11268	10	29	raw	raw	ADJ
fcis-11268	10	30	format	format	NOUN
fcis-11268	10	31	data	datum	NOUN
fcis-11268	10	32	.	.	PUNCT
fcis-11268	11	1	deep	deep	ADJ
fcis-11268	11	2	learning	learning	NOUN
fcis-11268	11	3	learns	learn	VERB
fcis-11268	11	4	effective	effective	ADJ
fcis-11268	11	5	feature	feature	NOUN
fcis-11268	11	6	representations	representation	NOUN
fcis-11268	11	7	from	from	ADP
fcis-11268	11	8	large	large	ADJ
fcis-11268	11	9	amounts	amount	NOUN
fcis-11268	11	10	of	of	ADP
fcis-11268	11	11	input	input	NOUN
fcis-11268	11	12	data	datum	NOUN
fcis-11268	11	13	by	by	ADP
fcis-11268	11	14	forming	form	VERB
fcis-11268	11	15	more	more	ADV
fcis-11268	11	16	abstract	abstract	ADJ
fcis-11268	11	17	,	,	PUNCT
fcis-11268	11	18	high	high	ADJ
fcis-11268	11	19	-	-	PUNCT
fcis-11268	11	20	level	level	NOUN
fcis-11268	11	21	features	feature	NOUN
fcis-11268	11	22	through	through	ADP
fcis-11268	11	23	simple	simple	ADJ
fcis-11268	11	24	but	but	CCONJ
fcis-11268	11	25	nonlinear	nonlinear	ADJ
fcis-11268	11	26	modules	module	NOUN
fcis-11268	11	27	.	.	PUNCT
fcis-11268	12	1	the	the	DET
fcis-11268	12	2	representative	representative	NOUN
fcis-11268	12	3	of	of	ADP
fcis-11268	12	4	deep	deep	ADJ
fcis-11268	12	5	learning	learning	NOUN
fcis-11268	12	6	,	,	PUNCT
fcis-11268	12	7	the	the	DET
fcis-11268	12	8	recurrent	recurrent	ADJ
fcis-11268	12	9	neural	neural	ADJ
fcis-11268	12	10	network	network	NOUN
fcis-11268	12	11	(	(	PUNCT
fcis-11268	12	12	rnn	rnn	PROPN
fcis-11268	12	13	)	)	PUNCT
fcis-11268	12	14	,	,	PUNCT
fcis-11268	12	15	can	can	AUX
fcis-11268	12	16	consider	consider	VERB
fcis-11268	12	17	the	the	DET
fcis-11268	12	18	shortterm	shortterm	NOUN
fcis-11268	12	19	correlation	correlation	NOUN
fcis-11268	12	20	of	of	ADP
fcis-11268	12	21	time	time	NOUN
fcis-11268	12	22	series	series	NOUN
fcis-11268	12	23	,	,	PUNCT
fcis-11268	12	24	and	and	CCONJ
fcis-11268	12	25	the	the	DET
fcis-11268	12	26	hidden	hide	VERB
fcis-11268	12	27	layer	layer	NOUN
fcis-11268	12	28	receives	receive	VERB
fcis-11268	12	29	not	not	PART
fcis-11268	12	30	only	only	ADV
fcis-11268	12	31	the	the	DET
fcis-11268	12	32	current	current	ADJ
fcis-11268	12	33	data	datum	NOUN
fcis-11268	12	34	,	,	PUNCT
fcis-11268	12	35	but	but	CCONJ
fcis-11268	12	36	also	also	ADV
fcis-11268	12	37	the	the	DET
fcis-11268	12	38	previous	previous	ADJ
fcis-11268	12	39	data	data	NOUN
fcis-11268	12	40	information	information	NOUN
fcis-11268	12	41	,	,	PUNCT
fcis-11268	12	42	so	so	SCONJ
fcis-11268	12	43	it	it	PRON
fcis-11268	12	44	can	can	AUX
fcis-11268	12	45	theoretically	theoretically	ADV
fcis-11268	12	46	use	use	VERB
fcis-11268	12	47	data	datum	NOUN
fcis-11268	12	48	of	of	ADP
fcis-11268	12	49	any	any	DET
fcis-11268	12	50	length	length	NOUN
fcis-11268	12	51	of	of	ADP
fcis-11268	12	52	time	time	NOUN
fcis-11268	12	53	;	;	PUNCT
fcis-11268	12	54	however	however	ADV
fcis-11268	12	55	,	,	PUNCT
fcis-11268	12	56	when	when	SCONJ
fcis-11268	12	57	rnns	rnn	NOUN
fcis-11268	12	58	learn	learn	VERB
fcis-11268	12	59	sequences	sequence	NOUN
fcis-11268	12	60	,	,	PUNCT
fcis-11268	12	61	they	they	PRON
fcis-11268	12	62	are	be	AUX
fcis-11268	12	63	prone	prone	ADJ
fcis-11268	12	64	to	to	ADP
fcis-11268	12	65	gradient	gradient	VERB
fcis-11268	12	66	vanishing	vanishing	NOUN
fcis-11268	12	67	and	and	CCONJ
fcis-11268	12	68	gradient	gradient	ADJ
fcis-11268	12	69	explosion	explosion	NOUN
fcis-11268	12	70	problems	problem	NOUN
fcis-11268	12	71	,	,	PUNCT
fcis-11268	12	72	resulting	result	VERB
fcis-11268	12	73	in	in	ADP
fcis-11268	12	74	their	their	PRON
fcis-11268	12	75	inability	inability	NOUN
fcis-11268	12	76	to	to	PART
fcis-11268	12	77	grasp	grasp	VERB
fcis-11268	12	78	the	the	DET
fcis-11268	12	79	nonlinear	nonlinear	ADJ
fcis-11268	12	80	relationship	relationship	NOUN
fcis-11268	12	81	over	over	ADP
fcis-11268	12	82	a	a	DET
fcis-11268	12	83	long	long	ADJ
fcis-11268	12	84	span	span	NOUN
fcis-11268	12	85	.	.	PUNCT
fcis-11268	13	1	based	base	VERB
fcis-11268	13	2	on	on	ADP
fcis-11268	13	3	this	this	PRON
fcis-11268	13	4	,	,	PUNCT
fcis-11268	13	5	hochreiter	hochreiter	PROPN
fcis-11268	13	6	[	[	X
fcis-11268	13	7	5	5	NUM
fcis-11268	13	8	]	]	PUNCT
fcis-11268	13	9	proposed	propose	VERB
fcis-11268	13	10	a	a	DET
fcis-11268	13	11	longshort	longshort	NOUN
fcis-11268	13	12	-	-	PUNCT
fcis-11268	13	13	term	term	NOUN
fcis-11268	13	14	memory	memory	NOUN
fcis-11268	13	15	(	(	PUNCT
fcis-11268	13	16	lstm	lstm	NOUN
fcis-11268	13	17	)	)	PUNCT
fcis-11268	13	18	network	network	NOUN
fcis-11268	13	19	,	,	PUNCT
fcis-11268	13	20	which	which	PRON
fcis-11268	13	21	solved	solve	VERB
fcis-11268	13	22	the	the	DET
fcis-11268	13	23	problem	problem	NOUN
fcis-11268	13	24	of	of	ADP
fcis-11268	13	25	rnn	rnn	NOUN
fcis-11268	13	26	to	to	ADP
fcis-11268	13	27	a	a	DET
fcis-11268	13	28	large	large	ADJ
fcis-11268	13	29	extent	extent	NOUN
fcis-11268	13	30	through	through	ADP
fcis-11268	13	31	the	the	DET
fcis-11268	13	32	gate	gate	NOUN
fcis-11268	13	33	mechanism	mechanism	NOUN
fcis-11268	13	34	.	.	PUNCT
fcis-11268	14	1	chen	chen	PROPN
fcis-11268	14	2	et	et	PROPN
fcis-11268	14	3	al	al	PROPN
fcis-11268	14	4	.	.	PUNCT
fcis-11268	15	1	[	[	X
fcis-11268	15	2	6	6	NUM
fcis-11268	15	3	]	]	PUNCT
fcis-11268	15	4	used	use	VERB
fcis-11268	15	5	lstm	lstm	NOUN
fcis-11268	15	6	to	to	PART
fcis-11268	15	7	predict	predict	VERB
fcis-11268	15	8	the	the	DET
fcis-11268	15	9	yield	yield	NOUN
fcis-11268	15	10	of	of	ADP
fcis-11268	15	11	the	the	DET
fcis-11268	15	12	chinese	chinese	ADJ
fcis-11268	15	13	stock	stock	NOUN
fcis-11268	15	14	market	market	NOUN
fcis-11268	15	15	and	and	CCONJ
fcis-11268	15	16	found	find	VERB
fcis-11268	15	17	that	that	SCONJ
fcis-11268	15	18	lstm	lstm	NOUN
fcis-11268	15	19	had	have	VERB
fcis-11268	15	20	the	the	DET
fcis-11268	15	21	best	good	ADJ
fcis-11268	15	22	prediction	prediction	NOUN
fcis-11268	15	23	effect	effect	NOUN
fcis-11268	15	24	.	.	PUNCT
fcis-11268	16	1	bidirectional	bidirectional	ADJ
fcis-11268	16	2	long	long	ADJ
fcis-11268	16	3	short	short	ADJ
fcis-11268	16	4	-	-	PUNCT
fcis-11268	16	5	term	term	NOUN
fcis-11268	16	6	memory	memory	NOUN
fcis-11268	16	7	(	(	PUNCT
fcis-11268	16	8	bilstm	bilstm	NOUN
fcis-11268	16	9	)	)	PUNCT
fcis-11268	16	10	is	be	AUX
fcis-11268	16	11	a	a	DET
fcis-11268	16	12	combination	combination	NOUN
fcis-11268	16	13	of	of	ADP
fcis-11268	16	14	forward	forward	ADV
fcis-11268	16	15	and	and	CCONJ
fcis-11268	16	16	backward	backward	ADJ
fcis-11268	16	17	lstm	lstm	ADJ
fcis-11268	16	18	layers	layer	NOUN
fcis-11268	16	19	,	,	PUNCT
fcis-11268	16	20	which	which	PRON
fcis-11268	16	21	can	can	AUX
fcis-11268	16	22	be	be	AUX
fcis-11268	16	23	used	use	VERB
fcis-11268	16	24	to	to	PART
fcis-11268	16	25	extract	extract	VERB
fcis-11268	16	26	two	two	NUM
fcis-11268	16	27	-	-	PUNCT
fcis-11268	16	28	way	way	NOUN
fcis-11268	16	29	time	time	NOUN
fcis-11268	16	30	series	series	NOUN
fcis-11268	16	31	from	from	ADP
fcis-11268	16	32	the	the	DET
fcis-11268	16	33	input	input	NOUN
fcis-11268	16	34	sequence	sequence	NOUN
fcis-11268	16	35	data	datum	NOUN
fcis-11268	16	36	,	,	PUNCT
fcis-11268	16	37	and	and	CCONJ
fcis-11268	16	38	theoretically	theoretically	ADV
fcis-11268	16	39	can	can	AUX
fcis-11268	16	40	effectively	effectively	ADV
fcis-11268	16	41	capture	capture	VERB
fcis-11268	16	42	the	the	DET
fcis-11268	16	43	internal	internal	ADJ
fcis-11268	16	44	relationship	relationship	NOUN
fcis-11268	16	45	of	of	ADP
fcis-11268	16	46	financial	financial	ADJ
fcis-11268	16	47	time	time	NOUN
fcis-11268	16	48	series	series	PROPN
fcis-11268	16	49	data	data	PROPN
fcis-11268	16	50	.	.	PUNCT
fcis-11268	17	1	yang	yang	PROPN
fcis-11268	17	2	et	et	PROPN
fcis-11268	17	3	al	al	PROPN
fcis-11268	17	4	.	.	PUNCT
fcis-11268	18	1	[	[	X
fcis-11268	18	2	7	7	X
fcis-11268	18	3	]	]	PUNCT
fcis-11268	18	4	used	use	VERB
fcis-11268	18	5	bilstm	bilstm	NOUN
fcis-11268	18	6	to	to	PART
fcis-11268	18	7	predict	predict	VERB
fcis-11268	18	8	the	the	DET
fcis-11268	18	9	closing	closing	NOUN
fcis-11268	18	10	price	price	NOUN
fcis-11268	18	11	of	of	ADP
fcis-11268	18	12	the	the	DET
fcis-11268	18	13	csi	csi	ADJ
fcis-11268	18	14	300	300	NUM
fcis-11268	18	15	index	index	NOUN
fcis-11268	18	16	,	,	PUNCT
fcis-11268	18	17	which	which	PRON
fcis-11268	18	18	verified	verify	VERB
fcis-11268	18	19	the	the	DET
fcis-11268	18	20	practical	practical	ADJ
fcis-11268	18	21	value	value	NOUN
fcis-11268	18	22	of	of	ADP
fcis-11268	18	23	bilstm	bilstm	NOUN
fcis-11268	18	24	,	,	PUNCT
fcis-11268	18	25	a	a	DET
fcis-11268	18	26	cutting	cut	VERB
fcis-11268	18	27	-	-	PUNCT
fcis-11268	18	28	edge	edge	NOUN
fcis-11268	18	29	deep	deep	ADJ
fcis-11268	18	30	neural	neural	ADJ
fcis-11268	18	31	network	network	NOUN
fcis-11268	18	32	,	,	PUNCT
fcis-11268	18	33	in	in	ADP
fcis-11268	18	34	the	the	DET
fcis-11268	18	35	field	field	NOUN
fcis-11268	18	36	of	of	ADP
fcis-11268	18	37	financial	financial	ADJ
fcis-11268	18	38	time	time	NOUN
fcis-11268	18	39	series	series	PROPN
fcis-11268	18	40	forecasting	forecasting	PROPN
fcis-11268	18	41	.	.	PUNCT
fcis-11268	19	1	empirical	empirical	ADJ
fcis-11268	19	2	mode	mode	NOUN
fcis-11268	19	3	decomposition	decomposition	NOUN
fcis-11268	19	4	(	(	PUNCT
fcis-11268	19	5	emd	emd	X
fcis-11268	19	6	)	)	PUNCT
fcis-11268	19	7	is	be	AUX
fcis-11268	19	8	an	an	DET
fcis-11268	19	9	effective	effective	ADJ
fcis-11268	19	10	adaptive	adaptive	ADJ
fcis-11268	19	11	nonlinear	nonlinear	ADJ
fcis-11268	19	12	time	time	NOUN
fcis-11268	19	13	-	-	PUNCT
fcis-11268	19	14	varying	vary	VERB
fcis-11268	19	15	signal	signal	NOUN
fcis-11268	19	16	information	information	NOUN
fcis-11268	19	17	extraction	extraction	NOUN
fcis-11268	19	18	method	method	NOUN
fcis-11268	19	19	,	,	PUNCT
fcis-11268	19	20	which	which	PRON
fcis-11268	19	21	can	can	AUX
fcis-11268	19	22	decompose	decompose	VERB
fcis-11268	19	23	nonstationary	nonstationary	ADJ
fcis-11268	19	24	nonlinear	nonlinear	ADJ
fcis-11268	19	25	sequences	sequence	NOUN
fcis-11268	19	26	into	into	ADP
fcis-11268	19	27	multiple	multiple	ADJ
fcis-11268	19	28	intrinsic	intrinsic	ADJ
fcis-11268	19	29	mode	mode	NOUN
fcis-11268	19	30	function	function	NOUN
fcis-11268	19	31	(	(	PUNCT
fcis-11268	19	32	imf	imf	PROPN
fcis-11268	19	33	)	)	PUNCT
fcis-11268	19	34	and	and	CCONJ
fcis-11268	19	35	residual	residual	ADJ
fcis-11268	19	36	components	component	NOUN
fcis-11268	19	37	with	with	ADP
fcis-11268	19	38	different	different	ADJ
fcis-11268	19	39	frequencies	frequency	NOUN
fcis-11268	19	40	and	and	CCONJ
fcis-11268	19	41	different	different	ADJ
fcis-11268	19	42	physical	physical	ADJ
fcis-11268	19	43	meanings	meaning	NOUN
fcis-11268	19	44	[	[	X
fcis-11268	19	45	8	8	NUM
fcis-11268	19	46	]	]	PUNCT
fcis-11268	19	47	.	.	PUNCT
fcis-11268	20	1	in	in	ADP
fcis-11268	20	2	order	order	NOUN
fcis-11268	20	3	to	to	PART
fcis-11268	20	4	help	help	VERB
fcis-11268	20	5	investors	investor	NOUN
fcis-11268	20	6	make	make	VERB
fcis-11268	20	7	better	well	ADJ
fcis-11268	20	8	investment	investment	NOUN
fcis-11268	20	9	decisions	decision	NOUN
fcis-11268	20	10	and	and	CCONJ
fcis-11268	20	11	increase	increase	VERB
fcis-11268	20	12	economic	economic	ADJ
fcis-11268	20	13	returns	return	NOUN
fcis-11268	20	14	,	,	PUNCT
fcis-11268	20	15	this	this	DET
fcis-11268	20	16	paper	paper	NOUN
fcis-11268	20	17	uses	use	VERB
fcis-11268	20	18	emd	emd	PROPN
fcis-11268	20	19	method	method	NOUN
fcis-11268	20	20	to	to	PART
fcis-11268	20	21	extract	extract	VERB
fcis-11268	20	22	new	new	ADJ
fcis-11268	20	23	features	feature	NOUN
fcis-11268	20	24	of	of	ADP
fcis-11268	20	25	time	time	NOUN
fcis-11268	20	26	series	series	PROPN
fcis-11268	20	27	data	data	PROPN
fcis-11268	20	28	,	,	PUNCT
fcis-11268	20	29	quantify	quantify	VERB
fcis-11268	20	30	investor	investor	NOUN
fcis-11268	20	31	sentiment	sentiment	NOUN
fcis-11268	20	32	,	,	PUNCT
fcis-11268	20	33	and	and	CCONJ
fcis-11268	20	34	use	use	VERB
fcis-11268	20	35	bilstm	bilstm	NOUN
fcis-11268	20	36	to	to	PART
fcis-11268	20	37	learn	learn	VERB
fcis-11268	20	38	time	time	NOUN
fcis-11268	20	39	series	series	PROPN
fcis-11268	20	40	features	feature	VERB
fcis-11268	20	41	bidirectionally	bidirectionally	ADV
fcis-11268	20	42	to	to	PART
fcis-11268	20	43	improve	improve	VERB
fcis-11268	20	44	the	the	DET
fcis-11268	20	45	prediction	prediction	NOUN
fcis-11268	20	46	effect	effect	NOUN
fcis-11268	20	47	.	.	PUNCT
fcis-11268	21	1	the	the	DET
fcis-11268	21	2	consumer	consumer	NOUN
fcis-11268	21	3	industry	industry	NOUN
fcis-11268	21	4	index	index	NOUN
fcis-11268	21	5	was	be	AUX
fcis-11268	21	6	selected	select	VERB
fcis-11268	21	7	as	as	ADP
fcis-11268	21	8	experimental	experimental	ADJ
fcis-11268	21	9	data	datum	NOUN
fcis-11268	21	10	for	for	ADP
fcis-11268	21	11	price	price	NOUN
fcis-11268	21	12	prediction	prediction	NOUN
fcis-11268	21	13	,	,	PUNCT
fcis-11268	21	14	and	and	CCONJ
fcis-11268	21	15	the	the	DET
fcis-11268	21	16	accurate	accurate	ADJ
fcis-11268	21	17	effectiveness	effectiveness	NOUN
fcis-11268	21	18	of	of	ADP
fcis-11268	21	19	the	the	DET
fcis-11268	21	20	proposed	propose	VERB
fcis-11268	21	21	model	model	NOUN
fcis-11268	21	22	was	be	AUX
fcis-11268	21	23	verified	verify	VERB
fcis-11268	21	24	by	by	ADP
fcis-11268	21	25	comparing	compare	VERB
fcis-11268	21	26	it	it	PRON
fcis-11268	21	27	with	with	ADP
fcis-11268	21	28	four	four	NUM
fcis-11268	21	29	typical	typical	ADJ
fcis-11268	21	30	stock	stock	NOUN
fcis-11268	21	31	price	price	NOUN
fcis-11268	21	32	rise	rise	NOUN
fcis-11268	21	33	and	and	CCONJ
fcis-11268	21	34	fall	fall	VERB
fcis-11268	21	35	prediction	prediction	NOUN
fcis-11268	21	36	models	model	NOUN
fcis-11268	21	37	,	,	PUNCT
fcis-11268	21	38	including	include	VERB
fcis-11268	21	39	lstm	lstm	PROPN
fcis-11268	21	40	,	,	PUNCT
fcis-11268	21	41	emd	emd	PROPN
fcis-11268	21	42	-	-	PUNCT
fcis-11268	21	43	based	base	VERB
fcis-11268	21	44	long	long	ADJ
fcis-11268	21	45	short	short	ADJ
fcis-11268	21	46	-	-	PUNCT
fcis-11268	21	47	term	term	NOUN
fcis-11268	21	48	memory	memory	NOUN
fcis-11268	21	49	network	network	NOUN
fcis-11268	21	50	,	,	PUNCT
fcis-11268	21	51	svm	svm	NOUN
fcis-11268	21	52	,	,	PUNCT
fcis-11268	21	53	and	and	CCONJ
fcis-11268	21	54	extreme	extreme	ADJ
fcis-11268	21	55	gradient	gradient	NOUN
fcis-11268	21	56	boost	boost	NOUN
fcis-11268	21	57	.	.	PUNCT
fcis-11268	22	1	2	2	X
fcis-11268	22	2	.	.	X
fcis-11268	22	3	introducing	introduce	VERB
fcis-11268	22	4	the	the	DET
fcis-11268	22	5	models	model	NOUN
fcis-11268	22	6	2.1	2.1	NUM
fcis-11268	22	7	.	.	PUNCT
fcis-11268	23	1	empirical	empirical	ADJ
fcis-11268	23	2	mode	mode	NOUN
fcis-11268	23	3	decomposition	decomposition	NOUN
fcis-11268	23	4	emd	emd	PROPN
fcis-11268	23	5	is	be	AUX
fcis-11268	23	6	an	an	DET
fcis-11268	23	7	adaptive	adaptive	ADJ
fcis-11268	23	8	analysis	analysis	NOUN
fcis-11268	23	9	method	method	NOUN
fcis-11268	23	10	for	for	ADP
fcis-11268	23	11	processing	process	VERB
fcis-11268	23	12	nonstationary	nonstationary	ADJ
fcis-11268	23	13	signals	signal	NOUN
fcis-11268	23	14	,	,	PUNCT
fcis-11268	23	15	which	which	PRON
fcis-11268	23	16	overcomes	overcome	VERB
fcis-11268	23	17	the	the	DET
fcis-11268	23	18	defect	defect	NOUN
fcis-11268	23	19	that	that	SCONJ
fcis-11268	23	20	the	the	DET
fcis-11268	23	21	basis	basis	NOUN
fcis-11268	23	22	function	function	NOUN
fcis-11268	23	23	of	of	ADP
fcis-11268	23	24	wavelet	wavelet	NOUN
fcis-11268	23	25	decomposition	decomposition	NOUN
fcis-11268	23	26	needs	need	VERB
fcis-11268	23	27	to	to	PART
fcis-11268	23	28	be	be	AUX
fcis-11268	23	29	set	set	VERB
fcis-11268	23	30	,	,	PUNCT
fcis-11268	23	31	and	and	CCONJ
fcis-11268	23	32	is	be	AUX
fcis-11268	23	33	suitable	suitable	ADJ
fcis-11268	23	34	for	for	ADP
fcis-11268	23	35	processing	processing	NOUN
fcis-11268	23	36	nonlinear	nonlinear	ADJ
fcis-11268	23	37	and	and	CCONJ
fcis-11268	23	38	non	non	ADJ
fcis-11268	23	39	-	-	ADJ
fcis-11268	23	40	stationary	stationary	ADJ
fcis-11268	23	41	time	time	NOUN
fcis-11268	23	42	series	series	PROPN
fcis-11268	23	43	data	data	PROPN
fcis-11268	23	44	.	.	PUNCT
fcis-11268	24	1	in	in	ADP
fcis-11268	24	2	essence	essence	NOUN
fcis-11268	24	3	,	,	PUNCT
fcis-11268	24	4	emd	emd	PROPN
fcis-11268	24	5	is	be	AUX
fcis-11268	24	6	a	a	DET
fcis-11268	24	7	stationary	stationary	ADJ
fcis-11268	24	8	process	process	NOUN
fcis-11268	24	9	that	that	PRON
fcis-11268	24	10	separates	separate	VERB
fcis-11268	24	11	the	the	DET
fcis-11268	24	12	series	series	NOUN
fcis-11268	24	13	into	into	ADP
fcis-11268	24	14	stationary	stationary	ADJ
fcis-11268	24	15	fluctuation	fluctuation	NOUN
fcis-11268	24	16	terms	term	NOUN
fcis-11268	24	17	(	(	PUNCT
fcis-11268	24	18	imf	imf	PROPN
fcis-11268	24	19	)	)	PUNCT
fcis-11268	24	20	of	of	ADP
fcis-11268	24	21	different	different	ADJ
fcis-11268	24	22	scales	scale	NOUN
fcis-11268	24	23	and	and	CCONJ
fcis-11268	24	24	a	a	DET
fcis-11268	24	25	residual	residual	ADJ
fcis-11268	24	26	trend	trend	NOUN
fcis-11268	24	27	term	term	NOUN
fcis-11268	24	28	through	through	ADP
fcis-11268	24	29	a	a	DET
fcis-11268	24	30	fixed	fix	VERB
fcis-11268	24	31	pattern	pattern	NOUN
fcis-11268	24	32	,	,	PUNCT
fcis-11268	24	33	and	and	CCONJ
fcis-11268	24	34	the	the	DET
fcis-11268	24	35	time	time	NOUN
fcis-11268	24	36	series	series	NOUN
fcis-11268	24	37	to	to	PART
fcis-11268	24	38	be	be	AUX
fcis-11268	24	39	decomposed	decompose	VERB
fcis-11268	24	40	has	have	VERB
fcis-11268	24	41	3	3	NUM
fcis-11268	24	42	assumptions	assumption	NOUN
fcis-11268	24	43	:	:	PUNCT
fcis-11268	24	44	1	1	X
fcis-11268	24	45	)	)	PUNCT
fcis-11268	24	46	the	the	DET
fcis-11268	24	47	series	series	NOUN
fcis-11268	24	48	to	to	PART
fcis-11268	24	49	be	be	AUX
fcis-11268	24	50	decomposed	decompose	VERB
fcis-11268	24	51	has	have	VERB
fcis-11268	24	52	at	at	ADV
fcis-11268	24	53	least	least	ADV
fcis-11268	24	54	two	two	NUM
fcis-11268	24	55	extreme	extreme	ADJ
fcis-11268	24	56	points	point	NOUN
fcis-11268	24	57	,	,	PUNCT
fcis-11268	24	58	one	one	NUM
fcis-11268	24	59	maximum	maximum	NOUN
fcis-11268	24	60	and	and	CCONJ
fcis-11268	24	61	one	one	NUM
fcis-11268	24	62	minimum	minimum	NOUN
fcis-11268	24	63	.	.	PUNCT
fcis-11268	25	1	2	2	X
fcis-11268	25	2	)	)	PUNCT
fcis-11268	25	3	the	the	DET
fcis-11268	25	4	local	local	ADJ
fcis-11268	25	5	time	time	NOUN
fcis-11268	25	6	characteristics	characteristic	NOUN
fcis-11268	25	7	of	of	ADP
fcis-11268	25	8	the	the	DET
fcis-11268	25	9	sequence	sequence	NOUN
fcis-11268	25	10	to	to	PART
fcis-11268	25	11	be	be	AUX
fcis-11268	25	12	decomposed	decompose	VERB
fcis-11268	25	13	are	be	AUX
fcis-11268	25	14	uniquely	uniquely	ADV
fcis-11268	25	15	determined	determine	VERB
fcis-11268	25	16	by	by	ADP
fcis-11268	25	17	the	the	DET
fcis-11268	25	18	time	time	NOUN
fcis-11268	25	19	scale	scale	NOUN
fcis-11268	25	20	between	between	ADP
fcis-11268	25	21	extreme	extreme	ADJ
fcis-11268	25	22	points	point	NOUN
fcis-11268	25	23	.	.	PUNCT
fcis-11268	26	1	3	3	X
fcis-11268	26	2	)	)	PUNCT
fcis-11268	26	3	if	if	SCONJ
fcis-11268	26	4	the	the	DET
fcis-11268	26	5	sequence	sequence	NOUN
fcis-11268	26	6	to	to	PART
fcis-11268	26	7	be	be	AUX
fcis-11268	26	8	decomposed	decompose	VERB
fcis-11268	26	9	has	have	VERB
fcis-11268	26	10	no	no	DET
fcis-11268	26	11	extreme	extreme	ADJ
fcis-11268	26	12	point	point	NOUN
fcis-11268	26	13	and	and	CCONJ
fcis-11268	26	14	an	an	DET
fcis-11268	26	15	inflection	inflection	NOUN
fcis-11268	26	16	point	point	NOUN
fcis-11268	26	17	,	,	PUNCT
fcis-11268	26	18	it	it	PRON
fcis-11268	26	19	can	can	AUX
fcis-11268	26	20	be	be	AUX
fcis-11268	26	21	differentiated	differentiate	VERB
fcis-11268	26	22	one	one	NUM
fcis-11268	26	23	or	or	CCONJ
fcis-11268	26	24	more	more	ADJ
fcis-11268	26	25	times	time	NOUN
fcis-11268	26	26	to	to	PART
fcis-11268	26	27	obtain	obtain	VERB
fcis-11268	26	28	the	the	DET
fcis-11268	26	29	extreme	extreme	ADJ
fcis-11268	26	30	value	value	NOUN
fcis-11268	26	31	,	,	PUNCT
fcis-11268	26	32	and	and	CCONJ
fcis-11268	26	33	then	then	ADV
fcis-11268	26	34	the	the	DET
fcis-11268	26	35	decomposition	decomposition	NOUN
fcis-11268	26	36	140	140	NUM
fcis-11268	26	37	result	result	NOUN
fcis-11268	26	38	can	can	AUX
fcis-11268	26	39	be	be	AUX
fcis-11268	26	40	obtained	obtain	VERB
fcis-11268	26	41	by	by	ADP
fcis-11268	26	42	integration	integration	NOUN
fcis-11268	26	43	.	.	PUNCT
fcis-11268	27	1	the	the	DET
fcis-11268	27	2	specific	specific	ADJ
fcis-11268	27	3	decomposition	decomposition	NOUN
fcis-11268	27	4	method	method	NOUN
fcis-11268	27	5	of	of	ADP
fcis-11268	27	6	emd	emd	PROPN
fcis-11268	27	7	is	be	AUX
fcis-11268	27	8	as	as	SCONJ
fcis-11268	27	9	follows	follow	VERB
fcis-11268	27	10	:	:	PUNCT
fcis-11268	27	11	1	1	X
fcis-11268	27	12	)	)	PUNCT
fcis-11268	27	13	determine	determine	VERB
fcis-11268	27	14	all	all	DET
fcis-11268	27	15	extreme	extreme	ADJ
fcis-11268	27	16	points	point	NOUN
fcis-11268	27	17	of	of	ADP
fcis-11268	27	18	the	the	DET
fcis-11268	27	19	time	time	NOUN
fcis-11268	27	20	series	series	PROPN
fcis-11268	27	21	x(t	x(t	PROPN
fcis-11268	27	22	)	)	PUNCT
fcis-11268	27	23	to	to	PART
fcis-11268	27	24	be	be	AUX
fcis-11268	27	25	decomposed	decompose	VERB
fcis-11268	27	26	,	,	PUNCT
fcis-11268	27	27	use	use	VERB
fcis-11268	27	28	cubic	cubic	ADJ
fcis-11268	27	29	spline	spline	NOUN
fcis-11268	27	30	interpolation	interpolation	NOUN
fcis-11268	27	31	method	method	NOUN
fcis-11268	27	32	to	to	PART
fcis-11268	27	33	fit	fit	VERB
fcis-11268	27	34	the	the	DET
fcis-11268	27	35	maximum	maximum	ADJ
fcis-11268	27	36	and	and	CCONJ
fcis-11268	27	37	minimum	minimum	NOUN
fcis-11268	27	38	,	,	PUNCT
fcis-11268	27	39	construct	construct	VERB
fcis-11268	27	40	the	the	DET
fcis-11268	27	41	upper	upper	ADJ
fcis-11268	27	42	envelope	envelope	NOUN
fcis-11268	27	43	u(t	u(t	NOUN
fcis-11268	27	44	)	)	PUNCT
fcis-11268	27	45	and	and	CCONJ
fcis-11268	27	46	the	the	DET
fcis-11268	27	47	lower	low	ADJ
fcis-11268	27	48	envelope	envelope	NOUN
fcis-11268	27	49	l(t	l(t	NOUN
fcis-11268	27	50	)	)	PUNCT
fcis-11268	27	51	2	2	NUM
fcis-11268	27	52	)	)	PUNCT
fcis-11268	27	53	to	to	PART
fcis-11268	27	54	calculate	calculate	VERB
fcis-11268	27	55	the	the	DET
fcis-11268	27	56	mean	mean	ADJ
fcis-11268	27	57	m(t	m(t	NOUN
fcis-11268	27	58	)	)	PUNCT
fcis-11268	27	59	of	of	ADP
fcis-11268	27	60	each	each	DET
fcis-11268	27	61	time	time	NOUN
fcis-11268	27	62	point	point	NOUN
fcis-11268	27	63	of	of	ADP
fcis-11268	27	64	the	the	DET
fcis-11268	27	65	upper	upper	ADJ
fcis-11268	27	66	and	and	CCONJ
fcis-11268	27	67	lower	low	ADJ
fcis-11268	27	68	envelope	envelope	NOUN
fcis-11268	27	69	,	,	PUNCT
fcis-11268	27	70	and	and	CCONJ
fcis-11268	27	71	the	the	DET
fcis-11268	27	72	component	component	NOUN
fcis-11268	27	73	h(t	h(t	PROPN
fcis-11268	27	74	)	)	PUNCT
fcis-11268	27	75	is	be	AUX
fcis-11268	27	76	obtained	obtain	VERB
fcis-11268	27	77	by	by	ADP
fcis-11268	27	78	finding	find	VERB
fcis-11268	27	79	the	the	DET
fcis-11268	27	80	difference	difference	NOUN
fcis-11268	27	81	between	between	ADP
fcis-11268	27	82	the	the	DET
fcis-11268	27	83	time	time	NOUN
fcis-11268	27	84	series	series	PROPN
fcis-11268	27	85	x(t	x(t	PROPN
fcis-11268	27	86	)	)	PUNCT
fcis-11268	27	87	and	and	CCONJ
fcis-11268	27	88	m(t	m(t	NOUN
fcis-11268	27	89	)	)	PUNCT
fcis-11268	27	90	to	to	PART
fcis-11268	27	91	be	be	AUX
fcis-11268	27	92	decomposed	decompose	VERB
fcis-11268	27	93	.	.	PUNCT
fcis-11268	28	1	3	3	NUM
fcis-11268	28	2	)	)	PUNCT
fcis-11268	28	3	according	accord	VERB
fcis-11268	28	4	to	to	ADP
fcis-11268	28	5	whether	whether	SCONJ
fcis-11268	28	6	the	the	DET
fcis-11268	28	7	new	new	ADJ
fcis-11268	28	8	sequence	sequence	NOUN
fcis-11268	28	9	hn(t	hn(t	PRON
fcis-11268	28	10	)	)	PUNCT
fcis-11268	28	11	meets	meet	VERB
fcis-11268	28	12	the	the	DET
fcis-11268	28	13	imf	imf	PROPN
fcis-11268	28	14	or	or	CCONJ
fcis-11268	28	15	stop	stop	VERB
fcis-11268	28	16	criteria	criterion	NOUN
fcis-11268	28	17	:	:	PUNCT
fcis-11268	28	18	if	if	SCONJ
fcis-11268	28	19	it	it	PRON
fcis-11268	28	20	does	do	VERB
fcis-11268	28	21	,	,	PUNCT
fcis-11268	28	22	it	it	PRON
fcis-11268	28	23	is	be	AUX
fcis-11268	28	24	retained	retain	VERB
fcis-11268	28	25	as	as	ADP
fcis-11268	28	26	the	the	DET
fcis-11268	28	27	imf	imf	PROPN
fcis-11268	28	28	new	new	ADJ
fcis-11268	28	29	component	component	NOUN
fcis-11268	28	30	;	;	PUNCT
fcis-11268	28	31	otherwise	otherwise	ADV
fcis-11268	28	32	,	,	PUNCT
fcis-11268	28	33	x(t)=	x(t)=	PROPN
fcis-11268	28	34	hn(t	hn(t	NUM
fcis-11268	28	35	)	)	PUNCT
fcis-11268	28	36	,	,	PUNCT
fcis-11268	28	37	n	n	CCONJ
fcis-11268	28	38	=	=	NOUN
fcis-11268	28	39	n+1	n+1	PROPN
fcis-11268	28	40	,	,	PUNCT
fcis-11268	28	41	and	and	CCONJ
fcis-11268	28	42	repeat	repeat	VERB
fcis-11268	28	43	the	the	DET
fcis-11268	28	44	above	above	ADJ
fcis-11268	28	45	steps	step	NOUN
fcis-11268	28	46	until	until	ADP
fcis-11268	28	47	hn(t	hn(t	NUM
fcis-11268	28	48	)	)	PUNCT
fcis-11268	28	49	reaches	reach	VERB
fcis-11268	28	50	the	the	DET
fcis-11268	28	51	standard	standard	NOUN
fcis-11268	28	52	.	.	PUNCT
fcis-11268	29	1	4	4	X
fcis-11268	29	2	)	)	PUNCT
fcis-11268	29	3	find	find	VERB
fcis-11268	29	4	the	the	DET
fcis-11268	29	5	residual	residual	ADJ
fcis-11268	29	6	sequence	sequence	NOUN
fcis-11268	29	7	:	:	PUNCT
fcis-11268	29	8			NOUN
fcis-11268	30	1			SYM
fcis-11268	30	2			NOUN
fcis-11268	30	3			PUNCT
fcis-11268	31	1	i	i	PRON
fcis-11268	31	2	ir	ir	VERB
fcis-11268	31	3	t	t	PROPN
fcis-11268	31	4	x	x	PROPN
fcis-11268	31	5	t	t	PROPN
fcis-11268	31	6	imf	imf	PROPN
fcis-11268	31	7			PROPN
fcis-11268	31	8	if	if	SCONJ
fcis-11268	31	9	ri(t	ri(t	NOUN
fcis-11268	31	10	)	)	PUNCT
fcis-11268	31	11	is	be	AUX
fcis-11268	31	12	not	not	PART
fcis-11268	31	13	a	a	DET
fcis-11268	31	14	constant	constant	ADJ
fcis-11268	31	15	value	value	NOUN
fcis-11268	31	16	or	or	CCONJ
fcis-11268	31	17	monotonic	monotonic	ADJ
fcis-11268	31	18	function	function	NOUN
fcis-11268	31	19	,	,	PUNCT
fcis-11268	31	20	the	the	DET
fcis-11268	31	21	residual	residual	ADJ
fcis-11268	31	22	sequence	sequence	NOUN
fcis-11268	31	23	ri(t	ri(t	NOUN
fcis-11268	31	24	)	)	PUNCT
fcis-11268	31	25	will	will	AUX
fcis-11268	31	26	be	be	AUX
fcis-11268	31	27	repeated	repeat	VERB
fcis-11268	31	28	again	again	ADV
fcis-11268	31	29	as	as	ADP
fcis-11268	31	30	a	a	DET
fcis-11268	31	31	decomposition	decomposition	NOUN
fcis-11268	31	32	sequence	sequence	NOUN
fcis-11268	31	33	step	step	NOUN
fcis-11268	31	34	1	1	NUM
fcis-11268	31	35	)	)	PUNCT
fcis-11268	31	36	and	and	CCONJ
fcis-11268	31	37	step	step	NOUN
fcis-11268	31	38	2	2	NUM
fcis-11268	31	39	)	)	PUNCT
fcis-11268	31	40	.	.	PUNCT
fcis-11268	32	1	finally	finally	ADV
fcis-11268	32	2	,	,	PUNCT
fcis-11268	32	3	the	the	DET
fcis-11268	32	4	original	original	ADJ
fcis-11268	32	5	sequence	sequence	NOUN
fcis-11268	32	6	is	be	AUX
fcis-11268	32	7	broken	break	VERB
fcis-11268	32	8	down	down	ADP
fcis-11268	32	9	into	into	ADP
fcis-11268	32	10	:	:	PUNCT
fcis-11268	32	11			NOUN
fcis-11268	32	12			PROPN
fcis-11268	32	13			NOUN
fcis-11268	32	14			PUNCT
fcis-11268	33	1	n	n	CCONJ
fcis-11268	34	1	i	i	NOUN
fcis-11268	34	2	1	1	NUM
fcis-11268	35	1	i	i	NOUN
fcis-11268	35	2	nx	nx	PROPN
fcis-11268	35	3	t	t	PROPN
fcis-11268	35	4	imf	imf	PROPN
fcis-11268	35	5	r	r	PROPN
fcis-11268	35	6	t	t	PROPN
fcis-11268	36	1			NUM
fcis-11268	36	2			PROPN
fcis-11268	36	3			PROPN
fcis-11268	36	4	2.2	2.2	NUM
fcis-11268	36	5	.	.	PUNCT
fcis-11268	36	6	bilstm	bilstm	NOUN
fcis-11268	36	7	neural	neural	ADJ
fcis-11268	36	8	network	network	NOUN
fcis-11268	36	9	the	the	DET
fcis-11268	36	10	lstm	lstm	PROPN
fcis-11268	36	11	network	network	NOUN
fcis-11268	36	12	is	be	AUX
fcis-11268	36	13	an	an	DET
fcis-11268	36	14	improvement	improvement	NOUN
fcis-11268	36	15	on	on	ADP
fcis-11268	36	16	the	the	DET
fcis-11268	36	17	topology	topology	NOUN
fcis-11268	36	18	of	of	ADP
fcis-11268	36	19	recurrent	recurrent	ADJ
fcis-11268	36	20	neural	neural	ADJ
fcis-11268	36	21	networks	network	NOUN
fcis-11268	36	22	(	(	PUNCT
fcis-11268	36	23	rnns	rnns	PROPN
fcis-11268	36	24	)	)	PUNCT
fcis-11268	36	25	.	.	PUNCT
fcis-11268	37	1	as	as	ADP
fcis-11268	37	2	a	a	DET
fcis-11268	37	3	variant	variant	NOUN
fcis-11268	37	4	of	of	ADP
fcis-11268	37	5	rnn	rnn	PROPN
fcis-11268	37	6	,	,	PUNCT
fcis-11268	37	7	the	the	DET
fcis-11268	37	8	lstm	lstm	PROPN
fcis-11268	37	9	model	model	NOUN
fcis-11268	37	10	effectively	effectively	ADV
fcis-11268	37	11	solves	solve	VERB
fcis-11268	37	12	the	the	DET
fcis-11268	37	13	gradient	gradient	NOUN
fcis-11268	37	14	disappearance	disappearance	NOUN
fcis-11268	37	15	caused	cause	VERB
fcis-11268	37	16	by	by	ADP
fcis-11268	37	17	the	the	DET
fcis-11268	37	18	increase	increase	NOUN
fcis-11268	37	19	of	of	ADP
fcis-11268	37	20	network	network	NOUN
fcis-11268	37	21	layers	layer	NOUN
fcis-11268	37	22	and	and	CCONJ
fcis-11268	37	23	the	the	DET
fcis-11268	37	24	passage	passage	NOUN
fcis-11268	37	25	of	of	ADP
fcis-11268	37	26	time	time	NOUN
fcis-11268	37	27	by	by	ADP
fcis-11268	37	28	introducing	introduce	VERB
fcis-11268	37	29	controllable	controllable	ADJ
fcis-11268	37	30	self	self	NOUN
fcis-11268	37	31	-	-	PUNCT
fcis-11268	37	32	loop	loop	NOUN
fcis-11268	37	33	,	,	PUNCT
fcis-11268	37	34	and	and	CCONJ
fcis-11268	37	35	its	its	PRON
fcis-11268	37	36	ingenious	ingenious	ADJ
fcis-11268	37	37	design	design	NOUN
fcis-11268	37	38	structure	structure	NOUN
fcis-11268	37	39	is	be	AUX
fcis-11268	37	40	especially	especially	ADV
fcis-11268	37	41	suitable	suitable	ADJ
fcis-11268	37	42	for	for	ADP
fcis-11268	37	43	handling	handle	VERB
fcis-11268	37	44	tasks	task	NOUN
fcis-11268	37	45	with	with	ADP
fcis-11268	37	46	long	long	ADJ
fcis-11268	37	47	delay	delay	NOUN
fcis-11268	37	48	and	and	CCONJ
fcis-11268	37	49	time	time	NOUN
fcis-11268	37	50	interval	interval	NOUN
fcis-11268	37	51	.	.	PUNCT
fcis-11268	38	1	the	the	DET
fcis-11268	38	2	structure	structure	NOUN
fcis-11268	38	3	of	of	ADP
fcis-11268	38	4	lstm	lstm	PROPN
fcis-11268	38	5	neural	neural	ADJ
fcis-11268	38	6	networks	network	NOUN
fcis-11268	38	7	differs	differ	VERB
fcis-11268	38	8	from	from	ADP
fcis-11268	38	9	other	other	ADJ
fcis-11268	38	10	deep	deep	ADJ
fcis-11268	38	11	learning	learning	NOUN
fcis-11268	38	12	algorithms	algorithm	NOUN
fcis-11268	38	13	in	in	ADP
fcis-11268	38	14	that	that	SCONJ
fcis-11268	38	15	they	they	PRON
fcis-11268	38	16	have	have	VERB
fcis-11268	38	17	a	a	DET
fcis-11268	38	18	special	special	ADJ
fcis-11268	38	19	neuronal	neuronal	ADJ
fcis-11268	38	20	cell	cell	NOUN
fcis-11268	38	21	state	state	NOUN
fcis-11268	38	22	,	,	PUNCT
fcis-11268	38	23	which	which	PRON
fcis-11268	38	24	can	can	AUX
fcis-11268	38	25	learn	learn	VERB
fcis-11268	38	26	sequence	sequence	NOUN
fcis-11268	38	27	data	datum	NOUN
fcis-11268	38	28	information	information	NOUN
fcis-11268	38	29	that	that	PRON
fcis-11268	38	30	needs	need	VERB
fcis-11268	38	31	to	to	PART
fcis-11268	38	32	be	be	AUX
fcis-11268	38	33	recorded	record	VERB
fcis-11268	38	34	and	and	CCONJ
fcis-11268	38	35	forgotten	forget	VERB
fcis-11268	38	36	in	in	ADP
fcis-11268	38	37	a	a	DET
fcis-11268	38	38	long	long	ADJ
fcis-11268	38	39	-	-	PUNCT
fcis-11268	38	40	term	term	NOUN
fcis-11268	38	41	state	state	NOUN
fcis-11268	38	42	.	.	PUNCT
fcis-11268	39	1	inside	inside	ADP
fcis-11268	39	2	the	the	DET
fcis-11268	39	3	cell	cell	NOUN
fcis-11268	39	4	unit	unit	NOUN
fcis-11268	39	5	,	,	PUNCT
fcis-11268	39	6	it	it	PRON
fcis-11268	39	7	consists	consist	VERB
fcis-11268	39	8	of	of	ADP
fcis-11268	39	9	three	three	NUM
fcis-11268	39	10	gates	gate	NOUN
fcis-11268	39	11	:	:	PUNCT
fcis-11268	39	12	the	the	DET
fcis-11268	39	13	forgetting	forget	VERB
fcis-11268	39	14	gate	gate	NOUN
fcis-11268	39	15	,	,	PUNCT
fcis-11268	39	16	the	the	DET
fcis-11268	39	17	input	input	NOUN
fcis-11268	39	18	gate	gate	NOUN
fcis-11268	39	19	,	,	PUNCT
fcis-11268	39	20	and	and	CCONJ
fcis-11268	39	21	the	the	DET
fcis-11268	39	22	output	output	NOUN
fcis-11268	39	23	gate	gate	NOUN
fcis-11268	39	24	.	.	PUNCT
fcis-11268	40	1	one	one	NUM
fcis-11268	40	2	is	be	AUX
fcis-11268	40	3	the	the	DET
fcis-11268	40	4	forgetting	forget	VERB
fcis-11268	40	5	gate	gate	NOUN
fcis-11268	40	6	,	,	PUNCT
fcis-11268	40	7	the	the	DET
fcis-11268	40	8	first	first	ADJ
fcis-11268	40	9	step	step	NOUN
fcis-11268	40	10	in	in	ADP
fcis-11268	40	11	the	the	DET
fcis-11268	40	12	operation	operation	NOUN
fcis-11268	40	13	of	of	ADP
fcis-11268	40	14	the	the	DET
fcis-11268	40	15	lstm	lstm	PROPN
fcis-11268	40	16	model	model	NOUN
fcis-11268	40	17	is	be	AUX
fcis-11268	40	18	to	to	PART
fcis-11268	40	19	determine	determine	VERB
fcis-11268	40	20	what	what	DET
fcis-11268	40	21	interference	interference	NOUN
fcis-11268	40	22	information	information	NOUN
fcis-11268	40	23	needs	need	VERB
fcis-11268	40	24	to	to	PART
fcis-11268	40	25	be	be	AUX
fcis-11268	40	26	discarded	discard	VERB
fcis-11268	40	27	in	in	ADP
fcis-11268	40	28	the	the	DET
fcis-11268	40	29	cell	cell	NOUN
fcis-11268	40	30	state	state	NOUN
fcis-11268	40	31	,	,	PUNCT
fcis-11268	40	32	then	then	ADV
fcis-11268	40	33	by	by	ADP
fcis-11268	40	34	reading	read	VERB
fcis-11268	40	35	ht-1,xt	ht-1,xt	NOUN
fcis-11268	40	36	in	in	ADP
fcis-11268	40	37	the	the	DET
fcis-11268	40	38	sequence	sequence	NOUN
fcis-11268	40	39	data	datum	NOUN
fcis-11268	40	40	,	,	PUNCT
fcis-11268	40	41	and	and	CCONJ
fcis-11268	40	42	giving	give	VERB
fcis-11268	40	43	different	different	ADJ
fcis-11268	40	44	weights	weight	NOUN
fcis-11268	40	45	wf	wf	PROPN
fcis-11268	40	46	and	and	CCONJ
fcis-11268	40	47	bias	bias	NOUN
fcis-11268	40	48	bf	bf	NOUN
fcis-11268	40	49	between	between	ADP
fcis-11268	40	50	0	0	NUM
fcis-11268	40	51	and	and	CCONJ
fcis-11268	40	52	1	1	NUM
fcis-11268	40	53	to	to	PART
fcis-11268	40	54	determine	determine	VERB
fcis-11268	40	55	the	the	DET
fcis-11268	40	56	degree	degree	NOUN
fcis-11268	40	57	of	of	ADP
fcis-11268	40	58	retention	retention	NOUN
fcis-11268	40	59	of	of	ADP
fcis-11268	40	60	sequence	sequence	NOUN
fcis-11268	40	61	data	datum	NOUN
fcis-11268	40	62	information	information	NOUN
fcis-11268	40	63	.	.	PUNCT
fcis-11268	41	1	the	the	DET
fcis-11268	41	2	control	control	NOUN
fcis-11268	41	3	function	function	NOUN
fcis-11268	41	4	of	of	ADP
fcis-11268	41	5	the	the	DET
fcis-11268	41	6	forgotten	forget	VERB
fcis-11268	41	7	gate	gate	NOUN
fcis-11268	41	8	is	be	AUX
fcis-11268	41	9	as	as	SCONJ
fcis-11268	41	10	follows	follow	VERB
fcis-11268	41	11	(	(	PUNCT
fcis-11268	41	12	1	1	NUM
fcis-11268	41	13	)	)	PUNCT
fcis-11268	41	14	(	(	PUNCT
fcis-11268	41	15	1	1	NUM
fcis-11268	41	16	)	)	PUNCT
fcis-11268	41	17	(	(	PUNCT
fcis-11268	42	1	[	[	X
fcis-11268	42	2	h	h	NOUN
fcis-11268	42	3	,	,	PUNCT
fcis-11268	42	4	]	]	PUNCT
fcis-11268	42	5	)	)	PUNCT
fcis-11268	42	6	t	t	PROPN
fcis-11268	42	7	t	t	PROPN
fcis-11268	42	8	t	t	PROPN
fcis-11268	42	9	t	t	X
fcis-11268	42	10	f	f	X
fcis-11268	42	11	ff	ff	INTJ
fcis-11268	42	12	w	w	PROPN
fcis-11268	42	13	x	x	PUNCT
fcis-11268	42	14	b	b	PROPN
fcis-11268	42	15			PROPN
fcis-11268	42	16			PUNCT
fcis-11268	42	17	where	where	SCONJ
fcis-11268	42	18	bf	bf	NOUN
fcis-11268	42	19	and	and	CCONJ
fcis-11268	42	20	wf	wf	PROPN
fcis-11268	42	21	are	be	AUX
fcis-11268	42	22	biased	bias	VERB
fcis-11268	42	23	and	and	CCONJ
fcis-11268	42	24	weighted	weight	VERB
fcis-11268	42	25	for	for	ADP
fcis-11268	42	26	the	the	DET
fcis-11268	42	27	forgetting	forget	VERB
fcis-11268	42	28	gate	gate	NOUN
fcis-11268	42	29	,	,	PUNCT
fcis-11268	42	30	respectively	respectively	ADV
fcis-11268	42	31	.	.	PUNCT
fcis-11268	43	1	the	the	DET
fcis-11268	43	2	second	second	NOUN
fcis-11268	43	3	is	be	AUX
fcis-11268	43	4	the	the	DET
fcis-11268	43	5	output	output	NOUN
fcis-11268	43	6	gate	gate	NOUN
fcis-11268	43	7	,	,	PUNCT
fcis-11268	43	8	the	the	DET
fcis-11268	43	9	input	input	NOUN
fcis-11268	43	10	gate	gate	NOUN
fcis-11268	43	11	controls	control	VERB
fcis-11268	43	12	the	the	DET
fcis-11268	43	13	processing	processing	NOUN
fcis-11268	43	14	degree	degree	NOUN
fcis-11268	43	15	of	of	ADP
fcis-11268	43	16	the	the	DET
fcis-11268	43	17	new	new	ADJ
fcis-11268	43	18	input	input	NOUN
fcis-11268	43	19	sequence	sequence	NOUN
fcis-11268	43	20	data	datum	NOUN
fcis-11268	43	21	information	information	NOUN
fcis-11268	43	22	added	add	VERB
fcis-11268	43	23	to	to	ADP
fcis-11268	43	24	the	the	DET
fcis-11268	43	25	cell	cell	NOUN
fcis-11268	43	26	meta	meta	NOUN
fcis-11268	43	27	state	state	NOUN
fcis-11268	43	28	,	,	PUNCT
fcis-11268	43	29	and	and	CCONJ
fcis-11268	43	30	two	two	NUM
fcis-11268	43	31	steps	step	NOUN
fcis-11268	43	32	are	be	AUX
fcis-11268	43	33	required	require	VERB
fcis-11268	43	34	to	to	PART
fcis-11268	43	35	achieve	achieve	VERB
fcis-11268	43	36	this	this	DET
fcis-11268	43	37	process	process	NOUN
fcis-11268	43	38	:	:	PUNCT
fcis-11268	43	39	first	first	ADV
fcis-11268	43	40	,	,	PUNCT
fcis-11268	43	41	the	the	DET
fcis-11268	43	42	sigmoid	sigmoid	NOUN
fcis-11268	43	43	function	function	NOUN
fcis-11268	43	44	determines	determine	VERB
fcis-11268	43	45	the	the	DET
fcis-11268	43	46	degree	degree	NOUN
fcis-11268	43	47	of	of	ADP
fcis-11268	43	48	update	update	NOUN
fcis-11268	43	49	of	of	ADP
fcis-11268	43	50	the	the	DET
fcis-11268	43	51	information	information	NOUN
fcis-11268	43	52	,	,	PUNCT
fcis-11268	43	53	as	as	SCONJ
fcis-11268	43	54	shown	show	VERB
fcis-11268	43	55	in	in	ADP
fcis-11268	43	56	equation	equation	NOUN
fcis-11268	43	57	2	2	NUM
fcis-11268	43	58	;	;	PUNCT
fcis-11268	43	59	second	second	ADV
fcis-11268	43	60	,	,	PUNCT
fcis-11268	43	61	decide	decide	VERB
fcis-11268	43	62	how	how	SCONJ
fcis-11268	43	63	much	much	ADJ
fcis-11268	43	64	to	to	PART
fcis-11268	43	65	update	update	VERB
fcis-11268	43	66	;	;	PUNCT
fcis-11268	43	67	finally	finally	ADV
fcis-11268	43	68	,	,	PUNCT
fcis-11268	43	69	the	the	DET
fcis-11268	43	70	two	two	NUM
fcis-11268	43	71	parts	part	NOUN
fcis-11268	43	72	are	be	AUX
fcis-11268	43	73	combined	combine	VERB
fcis-11268	43	74	,	,	PUNCT
fcis-11268	43	75	the	the	DET
fcis-11268	43	76	information	information	NOUN
fcis-11268	43	77	that	that	PRON
fcis-11268	43	78	has	have	AUX
fcis-11268	43	79	been	be	AUX
fcis-11268	43	80	discarded	discard	VERB
fcis-11268	43	81	in	in	ADP
fcis-11268	43	82	the	the	DET
fcis-11268	43	83	oblivion	oblivion	NOUN
fcis-11268	43	84	gate	gate	NOUN
fcis-11268	43	85	is	be	AUX
fcis-11268	43	86	discarded	discard	VERB
fcis-11268	43	87	and	and	CCONJ
fcis-11268	43	88	the	the	DET
fcis-11268	43	89	updated	update	VERB
fcis-11268	43	90	information	information	NOUN
fcis-11268	43	91	is	be	AUX
fcis-11268	43	92	added	add	VERB
fcis-11268	43	93	,	,	PUNCT
fcis-11268	43	94	stored	store	VERB
fcis-11268	43	95	in	in	ADP
fcis-11268	43	96	a	a	DET
fcis-11268	43	97	long	long	ADJ
fcis-11268	43	98	-	-	PUNCT
fcis-11268	43	99	term	term	NOUN
fcis-11268	43	100	state	state	NOUN
fcis-11268	43	101	(	(	PUNCT
fcis-11268	43	102	1	1	NUM
fcis-11268	43	103	)	)	PUNCT
fcis-11268	43	104	(	(	PUNCT
fcis-11268	44	1	[	[	X
fcis-11268	44	2	h	h	NOUN
fcis-11268	44	3	,	,	PUNCT
fcis-11268	44	4	]	]	PUNCT
fcis-11268	44	5	)	)	PUNCT
fcis-11268	44	6	t	t	PROPN
fcis-11268	44	7	t	t	PROPN
fcis-11268	44	8	t	t	PROPN
fcis-11268	45	1	i	i	PRON
fcis-11268	45	2	ii	ii	PROPN
fcis-11268	45	3	w	w	PROPN
fcis-11268	45	4	x	x	PROPN
fcis-11268	45	5	b	b	PROPN
fcis-11268	45	6			PROPN
fcis-11268	45	7			X
fcis-11268	45	8	(	(	PUNCT
fcis-11268	45	9	1	1	NUM
fcis-11268	45	10	)	)	PUNCT
fcis-11268	45	11	(	(	PUNCT
fcis-11268	45	12	[	[	X
fcis-11268	45	13	h	h	NOUN
fcis-11268	45	14	,	,	PUNCT
fcis-11268	45	15	]	]	PUNCT
fcis-11268	45	16	)	)	PUNCT
fcis-11268	46	1	t	t	PROPN
fcis-11268	46	2	t	t	PROPN
fcis-11268	46	3	t	t	PROPN
fcis-11268	46	4	c	c	PROPN
fcis-11268	46	5	cc	cc	PROPN
fcis-11268	46	6	w	w	PROPN
fcis-11268	46	7	x	x	PROPN
fcis-11268	46	8	b	b	PROPN
fcis-11268	46	9			PROPN
fcis-11268	46	10			PUNCT
fcis-11268	46	11	(	(	PUNCT
fcis-11268	46	12	)	)	PUNCT
fcis-11268	46	13	1	1	NUM
fcis-11268	46	14	*	*	PUNCT
fcis-11268	46	15	*	*	PUNCT
fcis-11268	46	16	t	t	PROPN
fcis-11268	46	17	t	t	PROPN
fcis-11268	46	18	t	t	PROPN
fcis-11268	46	19	t	t	PROPN
fcis-11268	47	1	tc	tc	INTJ
fcis-11268	48	1	i	i	PRON
fcis-11268	48	2	c	c	NOUN
fcis-11268	49	1	f	f	PROPN
fcis-11268	49	2	c	c	PROPN
fcis-11268	49	3			PROPN
fcis-11268	49	4			PUNCT
fcis-11268	49	5	where	where	SCONJ
fcis-11268	49	6	wi	wi	PROPN
fcis-11268	49	7	and	and	CCONJ
fcis-11268	49	8	wc	wc	PROPN
fcis-11268	49	9	represent	represent	VERB
fcis-11268	49	10	the	the	DET
fcis-11268	49	11	corresponding	corresponding	ADJ
fcis-11268	49	12	weights	weight	NOUN
fcis-11268	49	13	,	,	PUNCT
fcis-11268	49	14	bi	bi	NOUN
fcis-11268	49	15	and	and	CCONJ
fcis-11268	49	16	bc	bc	PROPN
fcis-11268	49	17	represent	represent	VERB
fcis-11268	49	18	the	the	DET
fcis-11268	49	19	corresponding	correspond	VERB
fcis-11268	49	20	biases	bias	NOUN
fcis-11268	49	21	,	,	PUNCT
fcis-11268	49	22	and	and	CCONJ
fcis-11268	49	23	ct	ct	PRON
fcis-11268	49	24	represents	represent	VERB
fcis-11268	49	25	the	the	DET
fcis-11268	49	26	current	current	ADJ
fcis-11268	49	27	cell	cell	NOUN
fcis-11268	49	28	state	state	NOUN
fcis-11268	49	29	value	value	NOUN
fcis-11268	49	30	.	.	PUNCT
fcis-11268	50	1	the	the	DET
fcis-11268	50	2	third	third	NOUN
fcis-11268	50	3	is	be	AUX
fcis-11268	50	4	the	the	DET
fcis-11268	50	5	output	output	NOUN
fcis-11268	50	6	gate	gate	NOUN
fcis-11268	50	7	,	,	PUNCT
fcis-11268	50	8	the	the	DET
fcis-11268	50	9	lstm	lstm	NOUN
fcis-11268	50	10	structure	structure	NOUN
fcis-11268	50	11	will	will	AUX
fcis-11268	50	12	determine	determine	VERB
fcis-11268	50	13	the	the	DET
fcis-11268	50	14	output	output	NOUN
fcis-11268	50	15	degree	degree	NOUN
fcis-11268	50	16	of	of	ADP
fcis-11268	50	17	sequence	sequence	NOUN
fcis-11268	50	18	information	information	NOUN
fcis-11268	50	19	based	base	VERB
fcis-11268	50	20	on	on	ADP
fcis-11268	50	21	the	the	DET
fcis-11268	50	22	cell	cell	NOUN
fcis-11268	50	23	state	state	NOUN
fcis-11268	50	24	,	,	PUNCT
fcis-11268	50	25	the	the	DET
fcis-11268	50	26	output	output	NOUN
fcis-11268	50	27	part	part	NOUN
fcis-11268	50	28	of	of	ADP
fcis-11268	50	29	the	the	DET
fcis-11268	50	30	cell	cell	NOUN
fcis-11268	50	31	state	state	NOUN
fcis-11268	50	32	is	be	AUX
fcis-11268	50	33	judged	judge	VERB
fcis-11268	50	34	by	by	ADP
fcis-11268	50	35	the	the	DET
fcis-11268	50	36	sigmoid	sigmoid	NOUN
fcis-11268	50	37	layer	layer	NOUN
fcis-11268	50	38	,	,	PUNCT
fcis-11268	50	39	and	and	CCONJ
fcis-11268	50	40	the	the	DET
fcis-11268	50	41	long	long	ADJ
fcis-11268	50	42	-	-	PUNCT
fcis-11268	50	43	term	term	NOUN
fcis-11268	50	44	state	state	NOUN
fcis-11268	50	45	of	of	ADP
fcis-11268	50	46	the	the	DET
fcis-11268	50	47	cell	cell	NOUN
fcis-11268	50	48	element	element	NOUN
fcis-11268	50	49	is	be	AUX
fcis-11268	50	50	processed	process	VERB
fcis-11268	50	51	with	with	ADP
fcis-11268	50	52	the	the	DET
fcis-11268	50	53	tanh	tanh	NOUN
fcis-11268	50	54	function	function	NOUN
fcis-11268	50	55	and	and	CCONJ
fcis-11268	50	56	then	then	ADV
fcis-11268	50	57	multiplied	multiply	VERB
fcis-11268	50	58	with	with	ADP
fcis-11268	50	59	the	the	DET
fcis-11268	50	60	previous	previous	ADJ
fcis-11268	50	61	output	output	NOUN
fcis-11268	50	62	part	part	NOUN
fcis-11268	50	63	,	,	PUNCT
fcis-11268	50	64	and	and	CCONJ
fcis-11268	50	65	finally	finally	ADV
fcis-11268	50	66	the	the	DET
fcis-11268	50	67	sequence	sequence	NOUN
fcis-11268	50	68	information	information	NOUN
fcis-11268	50	69	of	of	ADP
fcis-11268	50	70	the	the	DET
fcis-11268	50	71	output	output	NOUN
fcis-11268	50	72	is	be	AUX
fcis-11268	50	73	determined	determine	VERB
fcis-11268	50	74	.	.	PUNCT
fcis-11268	51	1	the	the	DET
fcis-11268	51	2	following	follow	VERB
fcis-11268	51	3	is	be	AUX
fcis-11268	51	4	expressed	express	VERB
fcis-11268	51	5	by	by	ADP
fcis-11268	51	6	the	the	DET
fcis-11268	51	7	formula	formula	NOUN
fcis-11268	51	8	(	(	PUNCT
fcis-11268	51	9	1	1	NUM
fcis-11268	51	10	)	)	PUNCT
fcis-11268	51	11	(	(	PUNCT
fcis-11268	52	1	[	[	X
fcis-11268	52	2	h	h	NOUN
fcis-11268	52	3	,	,	PUNCT
fcis-11268	52	4	]	]	PUNCT
fcis-11268	52	5	)	)	PUNCT
fcis-11268	52	6	t	t	PROPN
fcis-11268	52	7	t	t	NOUN
fcis-11268	52	8	t	t	X
fcis-11268	52	9	o	o	INTJ
fcis-11268	52	10	oo	oo	INTJ
fcis-11268	52	11	w	w	PROPN
fcis-11268	52	12	x	x	PROPN
fcis-11268	52	13	b	b	PROPN
fcis-11268	52	14			PROPN
fcis-11268	52	15			PUNCT
fcis-11268	52	16	1	1	NUM
fcis-11268	52	17	*	*	SYM
fcis-11268	52	18	tanh	tanh	PROPN
fcis-11268	52	19	(	(	PUNCT
fcis-11268	52	20	)	)	PUNCT
fcis-11268	52	21	t	t	NOUN
fcis-11268	52	22	t	t	PROPN
fcis-11268	52	23	th	th	X
fcis-11268	52	24	o	o	X
fcis-11268	52	25	c	c	PROPN
fcis-11268	52	26	where	where	SCONJ
fcis-11268	52	27	wo	will	AUX
fcis-11268	52	28	and	and	CCONJ
fcis-11268	52	29	bo	bo	AUX
fcis-11268	52	30	represent	represent	VERB
fcis-11268	52	31	the	the	DET
fcis-11268	52	32	weight	weight	NOUN
fcis-11268	52	33	and	and	CCONJ
fcis-11268	52	34	bias	bias	NOUN
fcis-11268	52	35	of	of	ADP
fcis-11268	52	36	the	the	DET
fcis-11268	52	37	output	output	NOUN
fcis-11268	52	38	gate	gate	NOUN
fcis-11268	52	39	,	,	PUNCT
fcis-11268	52	40	and	and	CCONJ
fcis-11268	52	41	ht	ht	PROPN
fcis-11268	52	42	is	be	AUX
fcis-11268	52	43	the	the	DET
fcis-11268	52	44	output	output	NOUN
fcis-11268	52	45	value	value	NOUN
fcis-11268	52	46	of	of	ADP
fcis-11268	52	47	the	the	DET
fcis-11268	52	48	current	current	ADJ
fcis-11268	52	49	cell	cell	NOUN
fcis-11268	52	50	.	.	PUNCT
fcis-11268	53	1	bilstm	bilstm	NOUN
fcis-11268	53	2	is	be	AUX
fcis-11268	53	3	composed	compose	VERB
fcis-11268	53	4	of	of	ADP
fcis-11268	53	5	two	two	NUM
fcis-11268	53	6	layers	layer	NOUN
fcis-11268	53	7	,	,	PUNCT
fcis-11268	53	8	forward	forward	ADV
fcis-11268	53	9	lstm	lstm	NOUN
fcis-11268	53	10	and	and	CCONJ
fcis-11268	53	11	backward	backward	ADJ
fcis-11268	53	12	lstm	lstm	NOUN
fcis-11268	53	13	,	,	PUNCT
fcis-11268	53	14	in	in	ADP
fcis-11268	53	15	which	which	PRON
fcis-11268	53	16	the	the	DET
fcis-11268	53	17	input	input	NOUN
fcis-11268	53	18	time	time	NOUN
fcis-11268	53	19	series	series	PROPN
fcis-11268	53	20	is	be	AUX
fcis-11268	53	21	input	input	VERB
fcis-11268	53	22	into	into	ADP
fcis-11268	53	23	the	the	DET
fcis-11268	53	24	lstm	lstm	PROPN
fcis-11268	53	25	model	model	NOUN
fcis-11268	53	26	in	in	ADP
fcis-11268	53	27	the	the	DET
fcis-11268	53	28	original	original	ADJ
fcis-11268	53	29	order	order	NOUN
fcis-11268	53	30	.	.	PUNCT
fcis-11268	54	1	in	in	ADP
fcis-11268	54	2	the	the	DET
fcis-11268	54	3	backward	backward	ADJ
fcis-11268	54	4	lstm	lstm	ADJ
fcis-11268	54	5	layer	layer	NOUN
fcis-11268	54	6	,	,	PUNCT
fcis-11268	54	7	the	the	DET
fcis-11268	54	8	input	input	NOUN
fcis-11268	54	9	time	time	NOUN
fcis-11268	54	10	series	series	PROPN
fcis-11268	54	11	are	be	AUX
fcis-11268	54	12	entered	enter	VERB
fcis-11268	54	13	into	into	ADP
fcis-11268	54	14	the	the	DET
fcis-11268	54	15	lstm	lstm	PROPN
fcis-11268	54	16	model	model	NOUN
fcis-11268	54	17	in	in	ADP
fcis-11268	54	18	reverse	reverse	ADJ
fcis-11268	54	19	order	order	NOUN
fcis-11268	54	20	.	.	PUNCT
fcis-11268	55	1	this	this	DET
fcis-11268	55	2	structure	structure	NOUN
fcis-11268	55	3	extracts	extract	VERB
fcis-11268	55	4	the	the	DET
fcis-11268	55	5	bidirectional	bidirectional	ADJ
fcis-11268	55	6	relationship	relationship	NOUN
fcis-11268	55	7	of	of	ADP
fcis-11268	55	8	the	the	DET
fcis-11268	55	9	time	time	NOUN
fcis-11268	55	10	series	series	NOUN
fcis-11268	55	11	and	and	CCONJ
fcis-11268	55	12	connects	connect	VERB
fcis-11268	55	13	two	two	NUM
fcis-11268	55	14	layers	layer	NOUN
fcis-11268	55	15	of	of	ADP
fcis-11268	55	16	lstms	lstms	NOUN
fcis-11268	55	17	to	to	ADP
fcis-11268	55	18	the	the	DET
fcis-11268	55	19	same	same	ADJ
fcis-11268	55	20	output	output	NOUN
fcis-11268	55	21	layer	layer	NOUN
fcis-11268	55	22	.	.	PUNCT
fcis-11268	56	1	therefore	therefore	ADV
fcis-11268	56	2	,	,	PUNCT
fcis-11268	56	3	the	the	DET
fcis-11268	56	4	theoretical	theoretical	ADJ
fcis-11268	56	5	prediction	prediction	NOUN
fcis-11268	56	6	performance	performance	NOUN
fcis-11268	56	7	should	should	AUX
fcis-11268	56	8	be	be	AUX
fcis-11268	56	9	better	well	ADJ
fcis-11268	56	10	than	than	ADP
fcis-11268	56	11	that	that	PRON
fcis-11268	56	12	of	of	ADP
fcis-11268	56	13	unidirectional	unidirectional	ADJ
fcis-11268	56	14	lstm	lstm	NOUN
fcis-11268	56	15	,	,	PUNCT
fcis-11268	56	16	and	and	CCONJ
fcis-11268	56	17	the	the	DET
fcis-11268	56	18	specific	specific	ADJ
fcis-11268	56	19	expression	expression	NOUN
fcis-11268	56	20	of	of	ADP
fcis-11268	56	21	bilstm	bilstm	NOUN
fcis-11268	56	22	is	be	AUX
fcis-11268	56	23	as	as	SCONJ
fcis-11268	56	24	follows	follow	VERB
fcis-11268	56	25	:	:	PUNCT
fcis-11268	57	1			PROPN
fcis-11268	57	2	1	1	NOUN
fcis-11268	57	3	t	t	PROPN
fcis-11268	58	1	xh	xh	PROPN
fcis-11268	58	2	t	t	PROPN
fcis-11268	58	3	hh	hh	PROPN
fcis-11268	58	4	t	t	PROPN
fcis-11268	58	5	hh	hh	VERB
fcis-11268	58	6	w	w	NOUN
fcis-11268	58	7	x	x	PROPN
fcis-11268	58	8	w	w	PROPN
fcis-11268	58	9	h	h	PROPN
fcis-11268	58	10	b	b	PROPN
fcis-11268	58	11			PROPN
fcis-11268	58	12			PUNCT
fcis-11268	58	13			PUNCT
fcis-11268	58	14			X
fcis-11268	58	15			ADV
fcis-11268	58	16			PROPN
fcis-11268	58	17			ADJ
fcis-11268	58	18	1	1	NUM
fcis-11268	58	19	(	(	PUNCT
fcis-11268	58	20	)	)	PUNCT
fcis-11268	58	21	t	t	NOUN
fcis-11268	58	22	xh	xh	PROPN
fcis-11268	58	23	t	t	PROPN
fcis-11268	58	24	hh	hh	PROPN
fcis-11268	58	25	t	t	PROPN
fcis-11268	58	26	hh	hh	VERB
fcis-11268	58	27	w	w	NOUN
fcis-11268	58	28	x	x	PROPN
fcis-11268	58	29	w	w	PROPN
fcis-11268	58	30	h	h	PROPN
fcis-11268	58	31	b	b	PROPN
fcis-11268	58	32			PROPN
fcis-11268	58	33			PUNCT
fcis-11268	58	34			PUNCT
fcis-11268	58	35			PROPN
fcis-11268	59	1			PROPN
fcis-11268	59	2			PROPN
fcis-11268	59	3	t	t	PROPN
fcis-11268	59	4	xh	xh	PROPN
fcis-11268	59	5	t	t	PROPN
fcis-11268	59	6	hy	hy	PROPN
fcis-11268	59	7	yh	yh	PROPN
fcis-11268	59	8	w	w	PROPN
fcis-11268	59	9	h	h	PROPN
fcis-11268	59	10	w	w	PROPN
fcis-11268	59	11	h	h	PROPN
fcis-11268	59	12	b	b	PROPN
fcis-11268	59	13			PROPN
fcis-11268	59	14			PROPN
fcis-11268	59	15			PROPN
fcis-11268	60	1			PROPN
fcis-11268	60	2	where	where	SCONJ
fcis-11268	60	3	:	:	PUNCT
fcis-11268	60	4	σ	σ	NOUN
fcis-11268	60	5	is	be	AUX
fcis-11268	60	6	the	the	DET
fcis-11268	60	7	activation	activation	NOUN
fcis-11268	60	8	function	function	NOUN
fcis-11268	60	9	,	,	PUNCT
fcis-11268	60	10	and	and	CCONJ
fcis-11268	60	11	ht	ht	PROPN
fcis-11268	60	12	is	be	AUX
fcis-11268	60	13	the	the	DET
fcis-11268	60	14	hidden	hide	VERB
fcis-11268	60	15	layer	layer	NOUN
fcis-11268	60	16	input	input	NOUN
fcis-11268	60	17	.	.	PUNCT
fcis-11268	61	1	the	the	DET
fcis-11268	61	2	final	final	ADJ
fcis-11268	61	3	input	input	NOUN
fcis-11268	61	4	is	be	AUX
fcis-11268	61	5	obtained	obtain	VERB
fcis-11268	61	6	by	by	ADP
fcis-11268	61	7	updating	update	VERB
fcis-11268	61	8	the	the	DET
fcis-11268	61	9	forward	forward	ADJ
fcis-11268	61	10	and	and	CCONJ
fcis-11268	61	11	reverse	reverse	ADJ
fcis-11268	61	12	structures	structure	NOUN
fcis-11268	61	13	.	.	PUNCT
fcis-11268	62	1	the	the	DET
fcis-11268	62	2	structure	structure	NOUN
fcis-11268	62	3	of	of	ADP
fcis-11268	62	4	bilstm	bilstm	NOUN
fcis-11268	62	5	is	be	AUX
fcis-11268	62	6	shown	show	VERB
fcis-11268	62	7	in	in	ADP
fcis-11268	62	8	figure	figure	NOUN
fcis-11268	62	9	1	1	NUM
fcis-11268	62	10	.	.	PUNCT
fcis-11268	62	11	figure	figure	NOUN
fcis-11268	62	12	1	1	NUM
fcis-11268	62	13	.	.	PUNCT
fcis-11268	62	14	bilstm	bilstm	NOUN
fcis-11268	62	15	structure	structure	NOUN
fcis-11268	62	16	3	3	X
fcis-11268	62	17	.	.	PUNCT
fcis-11268	62	18	stock	stock	NOUN
fcis-11268	62	19	price	price	NOUN
fcis-11268	62	20	rise	rise	NOUN
fcis-11268	62	21	and	and	CCONJ
fcis-11268	62	22	fall	fall	NOUN
fcis-11268	62	23	model	model	NOUN
fcis-11268	62	24	design	design	NOUN
fcis-11268	62	25	3.1	3.1	NUM
fcis-11268	62	26	.	.	PUNCT
fcis-11268	63	1	emd	emd	PROPN
fcis-11268	63	2	method	method	PROPN
fcis-11268	63	3	feature	feature	NOUN
fcis-11268	63	4	extraction	extraction	NOUN
fcis-11268	63	5	in	in	ADP
fcis-11268	63	6	this	this	DET
fcis-11268	63	7	paper	paper	NOUN
fcis-11268	63	8	,	,	PUNCT
fcis-11268	63	9	the	the	DET
fcis-11268	63	10	emd	emd	PROPN
fcis-11268	63	11	method	method	NOUN
fcis-11268	63	12	is	be	AUX
fcis-11268	63	13	used	use	VERB
fcis-11268	63	14	for	for	ADP
fcis-11268	63	15	the	the	DET
fcis-11268	63	16	initial	initial	ADJ
fcis-11268	63	17	time	time	NOUN
fcis-11268	63	18	series	series	NOUN
fcis-11268	63	19	,	,	PUNCT
fcis-11268	63	20	which	which	PRON
fcis-11268	63	21	is	be	AUX
fcis-11268	63	22	decomposed	decompose	VERB
fcis-11268	63	23	into	into	ADP
fcis-11268	63	24	local	local	ADJ
fcis-11268	63	25	feature	feature	NOUN
fcis-11268	63	26	signals	signal	NOUN
fcis-11268	63	27	representing	represent	VERB
fcis-11268	63	28	different	different	ADJ
fcis-11268	63	29	time	time	NOUN
fcis-11268	63	30	scales	scale	NOUN
fcis-11268	63	31	,	,	PUNCT
fcis-11268	63	32	and	and	CCONJ
fcis-11268	63	33	the	the	DET
fcis-11268	63	34	emd	emd	PROPN
fcis-11268	63	35	method	method	NOUN
fcis-11268	63	36	is	be	AUX
fcis-11268	63	37	used	use	VERB
fcis-11268	63	38	to	to	PART
fcis-11268	63	39	obtain	obtain	VERB
fcis-11268	63	40	its	its	PRON
fcis-11268	63	41	different	different	ADJ
fcis-11268	63	42	time	time	NOUN
fcis-11268	63	43	scale	scale	NOUN
fcis-11268	63	44	features	feature	VERB
fcis-11268	63	45	for	for	ADP
fcis-11268	63	46	the	the	DET
fcis-11268	63	47	stock	stock	NOUN
fcis-11268	63	48	closing	closing	NOUN
fcis-11268	63	49	price	price	NOUN
fcis-11268	63	50	as	as	ADP
fcis-11268	63	51	new	new	ADJ
fcis-11268	63	52	features	feature	NOUN
fcis-11268	63	53	as	as	ADP
fcis-11268	63	54	model	model	NOUN
fcis-11268	63	55	input	input	NOUN
fcis-11268	63	56	.	.	PUNCT
fcis-11268	64	1	in	in	ADP
fcis-11268	64	2	order	order	NOUN
fcis-11268	64	3	to	to	PART
fcis-11268	64	4	solve	solve	VERB
fcis-11268	64	5	the	the	DET
fcis-11268	64	6	problem	problem	NOUN
fcis-11268	64	7	of	of	ADP
fcis-11268	64	8	false	false	ADJ
fcis-11268	64	9	high	high	ADJ
fcis-11268	64	10	accuracy	accuracy	NOUN
fcis-11268	64	11	caused	cause	VERB
fcis-11268	64	12	by	by	ADP
fcis-11268	64	13	emd	emd	PROPN
fcis-11268	64	14	decomposition	decomposition	NOUN
fcis-11268	64	15	of	of	ADP
fcis-11268	64	16	data	datum	NOUN
fcis-11268	64	17	that	that	PRON
fcis-11268	64	18	needs	need	VERB
fcis-11268	64	19	to	to	PART
fcis-11268	64	20	be	be	AUX
fcis-11268	64	21	predicted	predict	VERB
fcis-11268	64	22	in	in	ADP
fcis-11268	64	23	the	the	DET
fcis-11268	64	24	future	future	NOUN
fcis-11268	64	25	,	,	PUNCT
fcis-11268	64	26	this	this	DET
fcis-11268	64	27	paper	paper	NOUN
fcis-11268	64	28	adopts	adopt	VERB
fcis-11268	64	29	stepwise	stepwise	PROPN
fcis-11268	64	30	emd	emd	PROPN
fcis-11268	64	31	decomposition	decomposition	NOUN
fcis-11268	64	32	for	for	ADP
fcis-11268	64	33	time	time	NOUN
fcis-11268	64	34	series	series	NOUN
fcis-11268	64	35	.	.	PUNCT
fcis-11268	65	1	first	first	ADV
fcis-11268	65	2	,	,	PUNCT
fcis-11268	65	3	the	the	DET
fcis-11268	65	4	time	time	NOUN
fcis-11268	65	5	series	series	NOUN
fcis-11268	65	6	in	in	ADP
fcis-11268	65	7	the	the	DET
fcis-11268	65	8	training	training	NOUN
fcis-11268	65	9	set	set	NOUN
fcis-11268	65	10	are	be	AUX
fcis-11268	65	11	decomposed	decompose	VERB
fcis-11268	65	12	by	by	ADP
fcis-11268	65	13	emd	emd	PROPN
fcis-11268	65	14	,	,	PUNCT
fcis-11268	65	15	and	and	CCONJ
fcis-11268	65	16	then	then	ADV
fcis-11268	65	17	only	only	ADV
fcis-11268	65	18	the	the	DET
fcis-11268	65	19	time	time	NOUN
fcis-11268	65	20	series	series	NOUN
fcis-11268	65	21	before	before	SCONJ
fcis-11268	65	22	the	the	DET
fcis-11268	65	23	forecast	forecast	NOUN
fcis-11268	65	24	are	be	AUX
fcis-11268	65	25	decomposed	decompose	VERB
fcis-11268	65	26	according	accord	VERB
fcis-11268	65	27	to	to	ADP
fcis-11268	65	28	the	the	DET
fcis-11268	65	29	forecast	forecast	NOUN
fcis-11268	65	30	window	window	NOUN
fcis-11268	65	31	,	,	PUNCT
fcis-11268	65	32	and	and	CCONJ
fcis-11268	65	33	the	the	DET
fcis-11268	65	34	decomposition	decomposition	NOUN
fcis-11268	65	35	process	process	NOUN
fcis-11268	65	36	is	be	AUX
fcis-11268	65	37	repeated	repeat	VERB
fcis-11268	65	38	until	until	SCONJ
fcis-11268	65	39	all	all	DET
fcis-11268	65	40	data	datum	NOUN
fcis-11268	65	41	decomposition	decomposition	NOUN
fcis-11268	65	42	is	be	AUX
fcis-11268	65	43	completed	complete	VERB
fcis-11268	65	44	,	,	PUNCT
fcis-11268	65	45	as	as	SCONJ
fcis-11268	65	46	shown	show	VERB
fcis-11268	65	47	in	in	ADP
fcis-11268	65	48	figure	figure	NOUN
fcis-11268	65	49	2	2	NUM
fcis-11268	65	50	.	.	PUNCT
fcis-11268	66	1	the	the	DET
fcis-11268	66	2	emd	emd	PROPN
fcis-11268	66	3	stepwise	stepwise	PROPN
fcis-11268	66	4	decomposition	decomposition	NOUN
fcis-11268	66	5	method	method	NOUN
fcis-11268	66	6	can	can	AUX
fcis-11268	66	7	avoid	avoid	VERB
fcis-11268	66	8	the	the	DET
fcis-11268	66	9	use	use	NOUN
fcis-11268	66	10	of	of	ADP
fcis-11268	66	11	future	future	ADJ
fcis-11268	66	12	data	datum	NOUN
fcis-11268	66	13	and	and	CCONJ
fcis-11268	66	14	improve	improve	VERB
fcis-11268	66	15	the	the	DET
fcis-11268	66	16	scientific	scientific	ADJ
fcis-11268	66	17	and	and	CCONJ
fcis-11268	66	18	practical	practical	ADJ
fcis-11268	66	19	nature	nature	NOUN
fcis-11268	66	20	of	of	ADP
fcis-11268	66	21	the	the	DET
fcis-11268	66	22	predictive	predictive	ADJ
fcis-11268	66	23	model	model	NOUN
fcis-11268	66	24	.	.	PUNCT
fcis-11268	67	1	141	141	NUM
fcis-11268	67	2	figure	figure	NOUN
fcis-11268	67	3	2	2	NUM
fcis-11268	67	4	.	.	PUNCT
fcis-11268	67	5	emd	emd	PROPN
fcis-11268	67	6	stepwise	stepwise	PROPN
fcis-11268	67	7	decomposition	decomposition	NOUN
fcis-11268	67	8	method	method	NOUN
fcis-11268	67	9	3.2	3.2	NUM
fcis-11268	67	10	.	.	PUNCT
fcis-11268	68	1	investor	investor	NOUN
fcis-11268	68	2	sentiment	sentiment	NOUN
fcis-11268	68	3	analysis	analysis	NOUN
fcis-11268	68	4	use	use	VERB
fcis-11268	68	5	the	the	DET
fcis-11268	68	6	investor	investor	NOUN
fcis-11268	68	7	sentiment	sentiment	NOUN
fcis-11268	68	8	to	to	PART
fcis-11268	68	9	increase	increase	VERB
fcis-11268	68	10	the	the	DET
fcis-11268	68	11	model	model	NOUN
fcis-11268	68	12	to	to	PART
fcis-11268	68	13	input	input	VERB
fcis-11268	68	14	new	new	ADJ
fcis-11268	68	15	features	feature	NOUN
fcis-11268	68	16	.	.	PUNCT
fcis-11268	69	1	investor	investor	NOUN
fcis-11268	69	2	sentiment	sentiment	NOUN
fcis-11268	69	3	is	be	AUX
fcis-11268	69	4	to	to	PART
fcis-11268	69	5	identify	identify	VERB
fcis-11268	69	6	and	and	CCONJ
fcis-11268	69	7	summarize	summarize	VERB
fcis-11268	69	8	the	the	DET
fcis-11268	69	9	emotional	emotional	ADJ
fcis-11268	69	10	words	word	NOUN
fcis-11268	69	11	in	in	ADP
fcis-11268	69	12	the	the	DET
fcis-11268	69	13	text	text	NOUN
fcis-11268	69	14	data	datum	NOUN
fcis-11268	69	15	,	,	PUNCT
fcis-11268	69	16	and	and	CCONJ
fcis-11268	69	17	then	then	ADV
fcis-11268	69	18	judge	judge	VERB
fcis-11268	69	19	the	the	DET
fcis-11268	69	20	investor	investor	NOUN
fcis-11268	69	21	emotions	emotion	NOUN
fcis-11268	69	22	expressed	express	VERB
fcis-11268	69	23	in	in	ADP
fcis-11268	69	24	the	the	DET
fcis-11268	69	25	text	text	NOUN
fcis-11268	69	26	.	.	PUNCT
fcis-11268	70	1	at	at	ADP
fcis-11268	70	2	present	present	ADJ
fcis-11268	70	3	,	,	PUNCT
fcis-11268	70	4	the	the	DET
fcis-11268	70	5	methods	method	NOUN
fcis-11268	70	6	of	of	ADP
fcis-11268	70	7	text	text	NOUN
fcis-11268	70	8	analysis	analysis	NOUN
fcis-11268	70	9	mainly	mainly	ADV
fcis-11268	70	10	include	include	VERB
fcis-11268	70	11	machine	machine	NOUN
fcis-11268	70	12	learning	learning	NOUN
fcis-11268	70	13	and	and	CCONJ
fcis-11268	70	14	sentiment	sentiment	NOUN
fcis-11268	70	15	analysis	analysis	NOUN
fcis-11268	70	16	based	base	VERB
fcis-11268	70	17	on	on	ADP
fcis-11268	70	18	sentiment	sentiment	PROPN
fcis-11268	70	19	dictionary	dictionary	PROPN
fcis-11268	70	20	.	.	PUNCT
fcis-11268	71	1	sentiment	sentiment	NOUN
fcis-11268	71	2	analysis	analysis	NOUN
fcis-11268	71	3	methods	method	NOUN
fcis-11268	71	4	based	base	VERB
fcis-11268	71	5	on	on	ADP
fcis-11268	71	6	machine	machine	NOUN
fcis-11268	71	7	learning	learning	NOUN
fcis-11268	71	8	generally	generally	ADV
fcis-11268	71	9	build	build	VERB
fcis-11268	71	10	classifiers	classifier	NOUN
fcis-11268	71	11	based	base	VERB
fcis-11268	71	12	on	on	ADP
fcis-11268	71	13	supervised	supervised	ADJ
fcis-11268	71	14	machine	machine	NOUN
fcis-11268	71	15	learning	learn	VERB
fcis-11268	71	16	algorithms	algorithm	NOUN
fcis-11268	71	17	to	to	PART
fcis-11268	71	18	achieve	achieve	VERB
fcis-11268	71	19	sentiment	sentiment	NOUN
fcis-11268	71	20	discrimination	discrimination	NOUN
fcis-11268	71	21	.	.	PUNCT
fcis-11268	72	1	this	this	DET
fcis-11268	72	2	method	method	NOUN
fcis-11268	72	3	has	have	VERB
fcis-11268	72	4	high	high	ADJ
fcis-11268	72	5	classification	classification	NOUN
fcis-11268	72	6	accuracy	accuracy	NOUN
fcis-11268	72	7	,	,	PUNCT
fcis-11268	72	8	but	but	CCONJ
fcis-11268	72	9	it	it	PRON
fcis-11268	72	10	can	can	AUX
fcis-11268	72	11	only	only	ADV
fcis-11268	72	12	classify	classify	VERB
fcis-11268	72	13	the	the	DET
fcis-11268	72	14	sentiment	sentiment	NOUN
fcis-11268	72	15	of	of	ADP
fcis-11268	72	16	the	the	DET
fcis-11268	72	17	text	text	NOUN
fcis-11268	72	18	,	,	PUNCT
fcis-11268	72	19	and	and	CCONJ
fcis-11268	72	20	can	can	AUX
fcis-11268	72	21	not	not	PART
fcis-11268	72	22	quantify	quantify	VERB
fcis-11268	72	23	the	the	DET
fcis-11268	72	24	emotional	emotional	ADJ
fcis-11268	72	25	tendency	tendency	NOUN
fcis-11268	72	26	into	into	ADP
fcis-11268	72	27	a	a	DET
fcis-11268	72	28	specific	specific	ADJ
fcis-11268	72	29	value	value	NOUN
fcis-11268	72	30	.	.	PUNCT
fcis-11268	73	1	the	the	DET
fcis-11268	73	2	sentiment	sentiment	NOUN
fcis-11268	73	3	analysis	analysis	NOUN
fcis-11268	73	4	based	base	VERB
fcis-11268	73	5	on	on	ADP
fcis-11268	73	6	the	the	DET
fcis-11268	73	7	emotional	emotional	ADJ
fcis-11268	73	8	dictionary	dictionary	NOUN
fcis-11268	73	9	corresponds	correspond	VERB
fcis-11268	73	10	the	the	DET
fcis-11268	73	11	words	word	NOUN
fcis-11268	73	12	in	in	ADP
fcis-11268	73	13	the	the	DET
fcis-11268	73	14	emotional	emotional	ADJ
fcis-11268	73	15	dictionary	dictionary	NOUN
fcis-11268	73	16	with	with	ADP
fcis-11268	73	17	the	the	DET
fcis-11268	73	18	words	word	NOUN
fcis-11268	73	19	after	after	SCONJ
fcis-11268	73	20	the	the	DET
fcis-11268	73	21	text	text	NOUN
fcis-11268	73	22	is	be	AUX
fcis-11268	73	23	segmented	segment	VERB
fcis-11268	73	24	,	,	PUNCT
fcis-11268	73	25	obtains	obtain	VERB
fcis-11268	73	26	the	the	DET
fcis-11268	73	27	negative	negative	ADJ
fcis-11268	73	28	and	and	CCONJ
fcis-11268	73	29	positive	positive	ADJ
fcis-11268	73	30	categories	category	NOUN
fcis-11268	73	31	,	,	PUNCT
fcis-11268	73	32	and	and	CCONJ
fcis-11268	73	33	accumulates	accumulate	VERB
fcis-11268	73	34	the	the	DET
fcis-11268	73	35	words	word	NOUN
fcis-11268	73	36	through	through	ADP
fcis-11268	73	37	the	the	DET
fcis-11268	73	38	rules	rule	NOUN
fcis-11268	73	39	,	,	PUNCT
fcis-11268	73	40	and	and	CCONJ
fcis-11268	73	41	then	then	ADV
fcis-11268	73	42	obtains	obtain	VERB
fcis-11268	73	43	the	the	DET
fcis-11268	73	44	emotional	emotional	ADJ
fcis-11268	73	45	tendency	tendency	NOUN
fcis-11268	73	46	score	score	NOUN
fcis-11268	73	47	of	of	ADP
fcis-11268	73	48	the	the	DET
fcis-11268	73	49	text	text	NOUN
fcis-11268	73	50	.	.	PUNCT
fcis-11268	74	1	however	however	ADV
fcis-11268	74	2	,	,	PUNCT
fcis-11268	74	3	ordinary	ordinary	ADJ
fcis-11268	74	4	sentiment	sentiment	NOUN
fcis-11268	74	5	analysis	analysis	NOUN
fcis-11268	74	6	based	base	VERB
fcis-11268	74	7	on	on	ADP
fcis-11268	74	8	emotional	emotional	ADJ
fcis-11268	74	9	dictionaries	dictionary	NOUN
fcis-11268	74	10	does	do	AUX
fcis-11268	74	11	not	not	PART
fcis-11268	74	12	consider	consider	VERB
fcis-11268	74	13	the	the	DET
fcis-11268	74	14	influence	influence	NOUN
fcis-11268	74	15	of	of	ADP
fcis-11268	74	16	modifiers	modifier	NOUN
fcis-11268	74	17	in	in	ADP
fcis-11268	74	18	the	the	DET
fcis-11268	74	19	text	text	NOUN
fcis-11268	74	20	on	on	ADP
fcis-11268	74	21	emotional	emotional	ADJ
fcis-11268	74	22	vocabulary	vocabulary	NOUN
fcis-11268	74	23	,	,	PUNCT
fcis-11268	74	24	so	so	SCONJ
fcis-11268	74	25	this	this	DET
fcis-11268	74	26	paper	paper	NOUN
fcis-11268	74	27	conducts	conduct	VERB
fcis-11268	74	28	sentiment	sentiment	VERB
fcis-11268	74	29	analysis	analysis	NOUN
fcis-11268	74	30	based	base	VERB
fcis-11268	74	31	on	on	ADP
fcis-11268	74	32	emotional	emotional	ADJ
fcis-11268	74	33	dictionaries	dictionary	NOUN
fcis-11268	74	34	,	,	PUNCT
fcis-11268	74	35	and	and	CCONJ
fcis-11268	74	36	constructs	construct	VERB
fcis-11268	74	37	auxiliary	auxiliary	ADJ
fcis-11268	74	38	weight	weight	NOUN
fcis-11268	74	39	dictionaries	dictionary	NOUN
fcis-11268	74	40	when	when	SCONJ
fcis-11268	74	41	designing	design	VERB
fcis-11268	74	42	emotional	emotional	ADJ
fcis-11268	74	43	dictionaries	dictionary	NOUN
fcis-11268	74	44	to	to	PART
fcis-11268	74	45	optimize	optimize	VERB
fcis-11268	74	46	the	the	DET
fcis-11268	74	47	weight	weight	NOUN
fcis-11268	74	48	of	of	ADP
fcis-11268	74	49	the	the	DET
fcis-11268	74	50	basic	basic	ADJ
fcis-11268	74	51	weight	weight	NOUN
fcis-11268	74	52	of	of	ADP
fcis-11268	74	53	vocabulary	vocabulary	NOUN
fcis-11268	74	54	.	.	PUNCT
fcis-11268	75	1	at	at	ADP
fcis-11268	75	2	present	present	ADJ
fcis-11268	75	3	,	,	PUNCT
fcis-11268	75	4	the	the	DET
fcis-11268	75	5	three	three	NUM
fcis-11268	75	6	basic	basic	ADJ
fcis-11268	75	7	emotional	emotional	ADJ
fcis-11268	75	8	dictionaries	dictionary	NOUN
fcis-11268	75	9	with	with	ADP
fcis-11268	75	10	the	the	DET
fcis-11268	75	11	highest	high	ADJ
fcis-11268	75	12	usage	usage	NOUN
fcis-11268	75	13	rate	rate	NOUN
fcis-11268	75	14	of	of	ADP
fcis-11268	75	15	sentiment	sentiment	NOUN
fcis-11268	75	16	analysis	analysis	NOUN
fcis-11268	75	17	in	in	ADP
fcis-11268	75	18	chinese	chinese	PROPN
fcis-11268	75	19	are	be	AUX
fcis-11268	75	20	cnki	cnki	ADJ
fcis-11268	75	21	emotional	emotional	PROPN
fcis-11268	75	22	dictionary	dictionary	PROPN
fcis-11268	75	23	,	,	PUNCT
fcis-11268	75	24	national	national	PROPN
fcis-11268	75	25	taiwan	taiwan	PROPN
fcis-11268	75	26	university	university	PROPN
fcis-11268	75	27	emotional	emotional	ADJ
fcis-11268	75	28	dictionary	dictionary	PROPN
fcis-11268	75	29	and	and	CCONJ
fcis-11268	75	30	tsinghua	tsinghua	PROPN
fcis-11268	75	31	university	university	PROPN
fcis-11268	75	32	emotional	emotional	PROPN
fcis-11268	75	33	dictionary	dictionary	PROPN
fcis-11268	75	34	.	.	PUNCT
fcis-11268	76	1	in	in	ADP
fcis-11268	76	2	this	this	DET
fcis-11268	76	3	paper	paper	NOUN
fcis-11268	76	4	,	,	PUNCT
fcis-11268	76	5	these	these	DET
fcis-11268	76	6	three	three	NUM
fcis-11268	76	7	dictionaries	dictionary	NOUN
fcis-11268	76	8	were	be	AUX
fcis-11268	76	9	merged	merge	VERB
fcis-11268	76	10	,	,	PUNCT
fcis-11268	76	11	deduplicated	deduplicate	VERB
fcis-11268	76	12	and	and	CCONJ
fcis-11268	76	13	screened	screen	VERB
fcis-11268	76	14	to	to	PART
fcis-11268	76	15	obtain	obtain	VERB
fcis-11268	76	16	the	the	DET
fcis-11268	76	17	initial	initial	ADJ
fcis-11268	76	18	basic	basic	ADJ
fcis-11268	76	19	emotional	emotional	ADJ
fcis-11268	76	20	dictionary	dictionary	NOUN
fcis-11268	76	21	,	,	PUNCT
fcis-11268	76	22	including	include	VERB
fcis-11268	76	23	7928	7928	NUM
fcis-11268	76	24	positive	positive	ADJ
fcis-11268	76	25	emotional	emotional	ADJ
fcis-11268	76	26	words	word	NOUN
fcis-11268	76	27	and	and	CCONJ
fcis-11268	76	28	11785	11785	NUM
fcis-11268	76	29	negative	negative	ADJ
fcis-11268	76	30	emotional	emotional	ADJ
fcis-11268	76	31	words	word	NOUN
fcis-11268	76	32	,	,	PUNCT
fcis-11268	76	33	as	as	SCONJ
fcis-11268	76	34	shown	show	VERB
fcis-11268	76	35	in	in	ADP
fcis-11268	76	36	table	table	NOUN
fcis-11268	76	37	1	1	NUM
fcis-11268	76	38	.	.	PUNCT
fcis-11268	76	39	table	table	NOUN
fcis-11268	76	40	1	1	NUM
fcis-11268	76	41	.	.	PUNCT
fcis-11268	76	42	initial	initial	ADJ
fcis-11268	76	43	basic	basic	ADJ
fcis-11268	76	44	emotional	emotional	ADJ
fcis-11268	76	45	dictionary	dictionary	ADJ
fcis-11268	76	46	contents	content	NOUN
fcis-11268	76	47	dictionary	dictionary	ADJ
fcis-11268	76	48	vocabulary	vocabulary	ADJ
fcis-11268	76	49	positive	positive	ADJ
fcis-11268	76	50	dictionary	dictionary	ADJ
fcis-11268	76	51	good	good	PROPN
fcis-11268	76	52	news	news	NOUN
fcis-11268	76	53	,	,	PUNCT
fcis-11268	76	54	beautiful	beautiful	ADJ
fcis-11268	76	55	scenery	scenery	NOUN
fcis-11268	76	56	,	,	PUNCT
fcis-11268	76	57	happy	happy	ADJ
fcis-11268	76	58	,	,	PUNCT
fcis-11268	76	59	well	well	ADV
fcis-11268	76	60	-	-	PUNCT
fcis-11268	76	61	off	off	NOUN
fcis-11268	76	62	,	,	PUNCT
fcis-11268	76	63	rich	rich	ADJ
fcis-11268	76	64	,	,	PUNCT
fcis-11268	76	65	wonderful	wonderful	ADJ
fcis-11268	76	66	,	,	PUNCT
fcis-11268	76	67	first	first	ADJ
fcis-11268	76	68	-	-	PUNCT
fcis-11268	76	69	class	class	NOUN
fcis-11268	76	70	,	,	PUNCT
fcis-11268	76	71	good	good	ADJ
fcis-11268	76	72	,	,	PUNCT
fcis-11268	76	73	superior	superior	ADJ
fcis-11268	76	74	negative	negative	ADJ
fcis-11268	76	75	dictionaries	dictionary	NOUN
fcis-11268	76	76	disgrace	disgrace	NOUN
fcis-11268	76	77	,	,	PUNCT
fcis-11268	76	78	lack	lack	NOUN
fcis-11268	76	79	of	of	ADP
fcis-11268	76	80	morality	morality	NOUN
fcis-11268	76	81	,	,	PUNCT
fcis-11268	76	82	confusion	confusion	NOUN
fcis-11268	76	83	,	,	PUNCT
fcis-11268	76	84	inferiority	inferiority	NOUN
fcis-11268	76	85	,	,	PUNCT
fcis-11268	76	86	deceived	deceive	VERB
fcis-11268	76	87	,	,	PUNCT
fcis-11268	76	88	bad	bad	ADJ
fcis-11268	76	89	table	table	NOUN
fcis-11268	76	90	2	2	NUM
fcis-11268	76	91	.	.	PUNCT
fcis-11268	76	92	dictionary	dictionary	ADJ
fcis-11268	76	93	expansion	expansion	NOUN
fcis-11268	76	94	of	of	ADP
fcis-11268	76	95	some	some	DET
fcis-11268	76	96	vocabulary	vocabulary	ADJ
fcis-11268	76	97	dictionary	dictionary	ADJ
fcis-11268	76	98	vocabulary	vocabulary	PROPN
fcis-11268	76	99	positive	positive	ADJ
fcis-11268	76	100	dictionary	dictionary	ADJ
fcis-11268	76	101	soaring	soaring	NOUN
fcis-11268	76	102	,	,	PUNCT
fcis-11268	76	103	must	must	AUX
fcis-11268	76	104	rise	rise	VERB
fcis-11268	76	105	,	,	PUNCT
fcis-11268	76	106	bull	bull	NOUN
fcis-11268	76	107	stocks	stock	NOUN
fcis-11268	76	108	,	,	PUNCT
fcis-11268	76	109	bull	bull	NOUN
fcis-11268	76	110	market	market	NOUN
fcis-11268	76	111	,	,	PUNCT
fcis-11268	76	112	takeoff	takeoff	NOUN
fcis-11268	76	113	,	,	PUNCT
fcis-11268	76	114	strong	strong	ADJ
fcis-11268	76	115	,	,	PUNCT
fcis-11268	76	116	bullish	bullish	ADJ
fcis-11268	76	117	,	,	PUNCT
fcis-11268	76	118	up	up	ADP
fcis-11268	76	119	limit	limit	NOUN
fcis-11268	76	120	,	,	PUNCT
fcis-11268	76	121	high	high	ADV
fcis-11268	76	122	rich	rich	ADJ
fcis-11268	76	123	and	and	CCONJ
fcis-11268	76	124	handsome	handsome	ADJ
fcis-11268	76	125	negative	negative	ADJ
fcis-11268	76	126	dictionaries	dictionary	NOUN
fcis-11268	76	127	plummeting	plummet	VERB
fcis-11268	76	128	,	,	PUNCT
fcis-11268	76	129	devaluation	devaluation	NOUN
fcis-11268	76	130	,	,	PUNCT
fcis-11268	76	131	make	make	VERB
fcis-11268	76	132	-	-	PUNCT
fcis-11268	76	133	up	up	NOUN
fcis-11268	76	134	,	,	PUNCT
fcis-11268	76	135	big	big	ADJ
fcis-11268	76	136	fall	fall	NOUN
fcis-11268	76	137	,	,	PUNCT
fcis-11268	76	138	drop	drop	NOUN
fcis-11268	76	139	limit	limit	NOUN
fcis-11268	76	140	,	,	PUNCT
fcis-11268	76	141	junk	junk	NOUN
fcis-11268	76	142	stocks	stock	NOUN
fcis-11268	76	143	,	,	PUNCT
fcis-11268	76	144	bear	bear	NOUN
fcis-11268	76	145	market	market	NOUN
fcis-11268	76	146	,	,	PUNCT
fcis-11268	76	147	bird	bird	NOUN
fcis-11268	76	148	company	company	NOUN
fcis-11268	76	149	,	,	PUNCT
fcis-11268	76	150	meat	meat	NOUN
fcis-11268	76	151	cutting	cut	VERB
fcis-11268	76	152	texts	text	NOUN
fcis-11268	76	153	in	in	ADP
fcis-11268	76	154	different	different	ADJ
fcis-11268	76	155	fields	field	NOUN
fcis-11268	76	156	have	have	VERB
fcis-11268	76	157	different	different	ADJ
fcis-11268	76	158	text	text	NOUN
fcis-11268	76	159	habits	habit	NOUN
fcis-11268	76	160	,	,	PUNCT
fcis-11268	76	161	unique	unique	ADJ
fcis-11268	76	162	vocabulary	vocabulary	NOUN
fcis-11268	76	163	and	and	CCONJ
fcis-11268	76	164	network	network	NOUN
fcis-11268	76	165	terms	term	NOUN
fcis-11268	76	166	,	,	PUNCT
fcis-11268	76	167	and	and	CCONJ
fcis-11268	76	168	only	only	ADV
fcis-11268	76	169	using	use	VERB
fcis-11268	76	170	the	the	DET
fcis-11268	76	171	initial	initial	ADJ
fcis-11268	76	172	basic	basic	ADJ
fcis-11268	76	173	dictionary	dictionary	NOUN
fcis-11268	76	174	for	for	ADP
fcis-11268	76	175	sentiment	sentiment	NOUN
fcis-11268	76	176	analysis	analysis	NOUN
fcis-11268	76	177	of	of	ADP
fcis-11268	76	178	texts	text	NOUN
fcis-11268	76	179	in	in	ADP
fcis-11268	76	180	the	the	DET
fcis-11268	76	181	financial	financial	ADJ
fcis-11268	76	182	field	field	NOUN
fcis-11268	76	183	can	can	AUX
fcis-11268	76	184	not	not	PART
fcis-11268	76	185	guarantee	guarantee	VERB
fcis-11268	76	186	the	the	DET
fcis-11268	76	187	emotional	emotional	ADJ
fcis-11268	76	188	quality	quality	NOUN
fcis-11268	76	189	obtained	obtain	VERB
fcis-11268	76	190	,	,	PUNCT
fcis-11268	76	191	so	so	SCONJ
fcis-11268	76	192	the	the	DET
fcis-11268	76	193	initial	initial	ADJ
fcis-11268	76	194	basic	basic	ADJ
fcis-11268	76	195	emotional	emotional	ADJ
fcis-11268	76	196	dictionary	dictionary	NOUN
fcis-11268	76	197	is	be	AUX
fcis-11268	76	198	expanded	expand	VERB
fcis-11268	76	199	with	with	ADP
fcis-11268	76	200	formal	formal	ADJ
fcis-11268	76	201	vocabulary	vocabulary	NOUN
fcis-11268	76	202	and	and	CCONJ
fcis-11268	76	203	informal	informal	ADJ
fcis-11268	76	204	vocabulary	vocabulary	NOUN
fcis-11268	76	205	in	in	ADP
fcis-11268	76	206	the	the	DET
fcis-11268	76	207	financial	financial	ADJ
fcis-11268	76	208	field	field	NOUN
fcis-11268	76	209	,	,	PUNCT
fcis-11268	76	210	of	of	ADP
fcis-11268	76	211	which	which	PRON
fcis-11268	76	212	3183	3183	NUM
fcis-11268	76	213	positive	positive	ADJ
fcis-11268	76	214	emotional	emotional	ADJ
fcis-11268	76	215	vocabulary	vocabulary	NOUN
fcis-11268	76	216	and	and	CCONJ
fcis-11268	76	217	2538	2538	NUM
fcis-11268	76	218	negative	negative	ADJ
fcis-11268	76	219	emotional	emotional	ADJ
fcis-11268	76	220	vocabulary	vocabulary	NOUN
fcis-11268	76	221	are	be	AUX
fcis-11268	76	222	expanded	expand	VERB
fcis-11268	76	223	,	,	PUNCT
fcis-11268	76	224	as	as	SCONJ
fcis-11268	76	225	shown	show	VERB
fcis-11268	76	226	in	in	ADP
fcis-11268	76	227	table	table	NOUN
fcis-11268	76	228	2	2	NUM
fcis-11268	76	229	.	.	PUNCT
fcis-11268	77	1	the	the	DET
fcis-11268	77	2	text	text	NOUN
fcis-11268	77	3	dataset	dataset	VERB
fcis-11268	77	4	consists	consist	NOUN
fcis-11268	77	5	of	of	ADP
fcis-11268	77	6	investor	investor	NOUN
fcis-11268	77	7	exchange	exchange	NOUN
fcis-11268	77	8	posts	post	NOUN
fcis-11268	77	9	,	,	PUNCT
fcis-11268	77	10	stock	stock	NOUN
fcis-11268	77	11	information	information	NOUN
fcis-11268	77	12	,	,	PUNCT
fcis-11268	77	13	and	and	CCONJ
fcis-11268	77	14	stock	stock	NOUN
fcis-11268	77	15	research	research	NOUN
fcis-11268	77	16	reports	report	NOUN
fcis-11268	77	17	.	.	PUNCT
fcis-11268	78	1	investor	investor	NOUN
fcis-11268	78	2	communication	communication	NOUN
fcis-11268	78	3	posts	post	NOUN
fcis-11268	78	4	are	be	AUX
fcis-11268	78	5	posts	post	NOUN
fcis-11268	78	6	that	that	SCONJ
fcis-11268	78	7	investors	investor	NOUN
fcis-11268	78	8	share	share	VERB
fcis-11268	78	9	and	and	CCONJ
fcis-11268	78	10	communicate	communicate	VERB
fcis-11268	78	11	when	when	SCONJ
fcis-11268	78	12	trading	trading	NOUN
fcis-11268	78	13	stocks	stock	NOUN
fcis-11268	78	14	,	,	PUNCT
fcis-11268	78	15	and	and	CCONJ
fcis-11268	78	16	the	the	DET
fcis-11268	78	17	content	content	NOUN
fcis-11268	78	18	directly	directly	ADV
fcis-11268	78	19	contains	contain	VERB
fcis-11268	78	20	investor	investor	NOUN
fcis-11268	78	21	sentiment	sentiment	NOUN
fcis-11268	78	22	;	;	PUNCT
fcis-11268	78	23	stock	stock	NOUN
fcis-11268	78	24	information	information	NOUN
fcis-11268	78	25	includes	include	VERB
fcis-11268	78	26	information	information	NOUN
fcis-11268	78	27	such	such	ADJ
fcis-11268	78	28	as	as	ADP
fcis-11268	78	29	large	large	ADJ
fcis-11268	78	30	stock	stock	NOUN
fcis-11268	78	31	transactions	transaction	NOUN
fcis-11268	78	32	and	and	CCONJ
fcis-11268	78	33	company	company	NOUN
fcis-11268	78	34	development	development	NOUN
fcis-11268	78	35	;	;	PUNCT
fcis-11268	78	36	stock	stock	NOUN
fcis-11268	78	37	research	research	NOUN
fcis-11268	78	38	report	report	NOUN
fcis-11268	78	39	is	be	AUX
fcis-11268	78	40	the	the	DET
fcis-11268	78	41	research	research	NOUN
fcis-11268	78	42	report	report	NOUN
fcis-11268	78	43	of	of	ADP
fcis-11268	78	44	major	major	ADJ
fcis-11268	78	45	institutions	institution	NOUN
fcis-11268	78	46	on	on	ADP
fcis-11268	78	47	stock	stock	NOUN
fcis-11268	78	48	companies	company	NOUN
fcis-11268	78	49	and	and	CCONJ
fcis-11268	78	50	industries	industry	NOUN
fcis-11268	78	51	.	.	PUNCT
fcis-11268	79	1	stock	stock	NOUN
fcis-11268	79	2	information	information	NOUN
fcis-11268	79	3	and	and	CCONJ
fcis-11268	79	4	research	research	NOUN
fcis-11268	79	5	reports	report	NOUN
fcis-11268	79	6	affect	affect	VERB
fcis-11268	79	7	investors	investor	NOUN
fcis-11268	79	8	'	'	PART
fcis-11268	79	9	sentiment	sentiment	NOUN
fcis-11268	79	10	,	,	PUNCT
fcis-11268	79	11	thereby	thereby	ADV
fcis-11268	79	12	changing	change	VERB
fcis-11268	79	13	their	their	PRON
fcis-11268	79	14	investment	investment	NOUN
fcis-11268	79	15	behavior	behavior	NOUN
fcis-11268	79	16	,	,	PUNCT
fcis-11268	79	17	which	which	PRON
fcis-11268	79	18	in	in	ADP
fcis-11268	79	19	turn	turn	NOUN
fcis-11268	79	20	affects	affect	VERB
fcis-11268	79	21	the	the	DET
fcis-11268	79	22	rise	rise	NOUN
fcis-11268	79	23	and	and	CCONJ
fcis-11268	79	24	fall	fall	NOUN
fcis-11268	79	25	of	of	ADP
fcis-11268	79	26	stocks	stock	NOUN
fcis-11268	79	27	.	.	PUNCT
fcis-11268	80	1	the	the	DET
fcis-11268	80	2	sentiment	sentiment	NOUN
fcis-11268	80	3	analysis	analysis	NOUN
fcis-11268	80	4	in	in	ADP
fcis-11268	80	5	this	this	DET
fcis-11268	80	6	paper	paper	NOUN
fcis-11268	80	7	is	be	AUX
fcis-11268	80	8	based	base	VERB
fcis-11268	80	9	on	on	ADP
fcis-11268	80	10	the	the	DET
fcis-11268	80	11	basic	basic	ADJ
fcis-11268	80	12	emotional	emotional	ADJ
fcis-11268	80	13	dictionary	dictionary	NOUN
fcis-11268	80	14	and	and	CCONJ
fcis-11268	80	15	the	the	DET
fcis-11268	80	16	auxiliary	auxiliary	ADJ
fcis-11268	80	17	weight	weight	NOUN
fcis-11268	80	18	emotional	emotional	PROPN
fcis-11268	80	19	dictionary	dictionary	PROPN
fcis-11268	80	20	,	,	PUNCT
fcis-11268	80	21	and	and	CCONJ
fcis-11268	80	22	the	the	DET
fcis-11268	80	23	main	main	ADJ
fcis-11268	80	24	process	process	NOUN
fcis-11268	80	25	is	be	AUX
fcis-11268	80	26	as	as	SCONJ
fcis-11268	80	27	follows	follow	VERB
fcis-11268	80	28	:	:	PUNCT
fcis-11268	80	29	1	1	X
fcis-11268	80	30	)	)	PUNCT
fcis-11268	80	31	carry	carry	VERB
fcis-11268	80	32	out	out	ADP
fcis-11268	80	33	chinese	chinese	ADJ
fcis-11268	80	34	word	word	NOUN
fcis-11268	80	35	segmentation	segmentation	NOUN
fcis-11268	80	36	of	of	ADP
fcis-11268	80	37	the	the	DET
fcis-11268	80	38	text	text	NOUN
fcis-11268	80	39	,	,	PUNCT
fcis-11268	80	40	and	and	CCONJ
fcis-11268	80	41	use	use	VERB
fcis-11268	80	42	word	word	NOUN
fcis-11268	80	43	segmentation	segmentation	NOUN
fcis-11268	80	44	technology	technology	NOUN
fcis-11268	80	45	to	to	PART
fcis-11268	80	46	divide	divide	VERB
fcis-11268	80	47	the	the	DET
fcis-11268	80	48	text	text	NOUN
fcis-11268	80	49	into	into	ADP
fcis-11268	80	50	independent	independent	ADJ
fcis-11268	80	51	vocabulary	vocabulary	ADJ
fcis-11268	80	52	units	unit	NOUN
fcis-11268	80	53	.	.	PUNCT
fcis-11268	81	1	2	2	X
fcis-11268	81	2	)	)	PUNCT
fcis-11268	81	3	match	match	VERB
fcis-11268	81	4	emotional	emotional	ADJ
fcis-11268	81	5	words	word	NOUN
fcis-11268	81	6	,	,	PUNCT
fcis-11268	81	7	compare	compare	VERB
fcis-11268	81	8	the	the	DET
fcis-11268	81	9	emotional	emotional	ADJ
fcis-11268	81	10	words	word	NOUN
fcis-11268	81	11	in	in	ADP
fcis-11268	81	12	the	the	DET
fcis-11268	81	13	basic	basic	ADJ
fcis-11268	81	14	emotional	emotional	ADJ
fcis-11268	81	15	dictionary	dictionary	NOUN
fcis-11268	81	16	,	,	PUNCT
fcis-11268	81	17	check	check	VERB
fcis-11268	81	18	whether	whether	SCONJ
fcis-11268	81	19	the	the	DET
fcis-11268	81	20	text	text	NOUN
fcis-11268	81	21	contains	contain	VERB
fcis-11268	81	22	emotional	emotional	ADJ
fcis-11268	81	23	words	word	NOUN
fcis-11268	81	24	,	,	PUNCT
fcis-11268	81	25	and	and	CCONJ
fcis-11268	81	26	retain	retain	VERB
fcis-11268	81	27	the	the	DET
fcis-11268	81	28	text	text	NOUN
fcis-11268	81	29	if	if	SCONJ
fcis-11268	81	30	so	so	ADV
fcis-11268	81	31	;	;	PUNCT
fcis-11268	81	32	if	if	SCONJ
fcis-11268	81	33	not	not	PART
fcis-11268	81	34	,	,	PUNCT
fcis-11268	81	35	the	the	DET
fcis-11268	81	36	text	text	NOUN
fcis-11268	81	37	is	be	AUX
fcis-11268	81	38	filtered	filter	VERB
fcis-11268	81	39	.	.	PUNCT
fcis-11268	82	1	3	3	X
fcis-11268	82	2	)	)	PUNCT
fcis-11268	82	3	calculate	calculate	VERB
fcis-11268	82	4	the	the	DET
fcis-11268	82	5	emotional	emotional	ADJ
fcis-11268	82	6	score	score	NOUN
fcis-11268	82	7	,	,	PUNCT
fcis-11268	82	8	optimize	optimize	VERB
fcis-11268	82	9	the	the	DET
fcis-11268	82	10	weight	weight	NOUN
fcis-11268	82	11	of	of	ADP
fcis-11268	82	12	the	the	DET
fcis-11268	82	13	basic	basic	ADJ
fcis-11268	82	14	weight	weight	NOUN
fcis-11268	82	15	of	of	ADP
fcis-11268	82	16	the	the	DET
fcis-11268	82	17	basic	basic	ADJ
fcis-11268	82	18	emotional	emotional	ADJ
fcis-11268	82	19	dictionary	dictionary	NOUN
fcis-11268	82	20	through	through	ADP
fcis-11268	82	21	the	the	DET
fcis-11268	82	22	auxiliary	auxiliary	ADJ
fcis-11268	82	23	weight	weight	NOUN
fcis-11268	82	24	emotional	emotional	PROPN
fcis-11268	82	25	dictionary	dictionary	PROPN
fcis-11268	82	26	,	,	PUNCT
fcis-11268	82	27	and	and	CCONJ
fcis-11268	82	28	obtain	obtain	VERB
fcis-11268	82	29	the	the	DET
fcis-11268	82	30	emotional	emotional	ADJ
fcis-11268	82	31	score	score	NOUN
fcis-11268	82	32	according	accord	VERB
fcis-11268	82	33	to	to	ADP
fcis-11268	82	34	the	the	DET
fcis-11268	82	35	definition	definition	NOUN
fcis-11268	82	36	formula	formula	NOUN
fcis-11268	82	37	,	,	PUNCT
fcis-11268	82	38	this	this	DET
fcis-11268	82	39	document	document	NOUN
fcis-11268	82	40	defines	define	VERB
fcis-11268	82	41	each	each	DET
fcis-11268	82	42	positive	positive	ADJ
fcis-11268	82	43	word	word	NOUN
fcis-11268	82	44	plus	plus	CCONJ
fcis-11268	82	45	1	1	NUM
fcis-11268	82	46	point	point	NOUN
fcis-11268	82	47	,	,	PUNCT
fcis-11268	82	48	each	each	DET
fcis-11268	82	49	negative	negative	ADJ
fcis-11268	82	50	word	word	NOUN
fcis-11268	82	51	minus	minus	CCONJ
fcis-11268	82	52	1	1	NUM
fcis-11268	82	53	point	point	NOUN
fcis-11268	82	54	,	,	PUNCT
fcis-11268	82	55	if	if	SCONJ
fcis-11268	82	56	there	there	PRON
fcis-11268	82	57	is	be	VERB
fcis-11268	82	58	an	an	DET
fcis-11268	82	59	auxiliary	auxiliary	ADJ
fcis-11268	82	60	weight	weight	NOUN
fcis-11268	82	61	emotional	emotional	ADJ
fcis-11268	82	62	dictionary	dictionary	ADJ
fcis-11268	82	63	vocabulary	vocabulary	NOUN
fcis-11268	82	64	before	before	ADP
fcis-11268	82	65	the	the	DET
fcis-11268	82	66	vocabulary	vocabulary	NOUN
fcis-11268	82	67	,	,	PUNCT
fcis-11268	82	68	the	the	DET
fcis-11268	82	69	score	score	NOUN
fcis-11268	82	70	is	be	AUX
fcis-11268	82	71	multiplied	multiply	VERB
fcis-11268	82	72	by	by	ADP
fcis-11268	82	73	the	the	DET
fcis-11268	82	74	corresponding	corresponding	ADJ
fcis-11268	82	75	auxiliary	auxiliary	ADJ
fcis-11268	82	76	weight	weight	NOUN
fcis-11268	82	77	.	.	PUNCT
fcis-11268	83	1	obviously	obviously	ADV
fcis-11268	83	2	,	,	PUNCT
fcis-11268	83	3	the	the	PRON
fcis-11268	83	4	higher	high	ADJ
fcis-11268	83	5	the	the	DET
fcis-11268	83	6	score	score	NOUN
fcis-11268	83	7	,	,	PUNCT
fcis-11268	83	8	the	the	DET
fcis-11268	83	9	more	more	ADV
fcis-11268	83	10	positive	positive	ADJ
fcis-11268	83	11	the	the	DET
fcis-11268	83	12	emotion	emotion	NOUN
fcis-11268	83	13	;	;	PUNCT
fcis-11268	83	14	the	the	DET
fcis-11268	83	15	smaller	small	ADJ
fcis-11268	83	16	the	the	DET
fcis-11268	83	17	score	score	NOUN
fcis-11268	83	18	,	,	PUNCT
fcis-11268	83	19	the	the	DET
fcis-11268	83	20	more	more	ADV
fcis-11268	83	21	negative	negative	ADJ
fcis-11268	83	22	the	the	DET
fcis-11268	83	23	emotion	emotion	NOUN
fcis-11268	83	24	.	.	PUNCT
fcis-11268	84	1	text	text	NOUN
fcis-11268	84	2	specific	specific	ADJ
fcis-11268	84	3	sentiment	sentiment	NOUN
fcis-11268	84	4	score	score	NOUN
fcis-11268	84	5	is	be	AUX
fcis-11268	84	6	calculated	calculate	VERB
fcis-11268	84	7	as	as	SCONJ
fcis-11268	84	8	follows	follow	VERB
fcis-11268	84	9	:	:	PUNCT
fcis-11268	84	10	1	1	NUM
fcis-11268	84	11	1	1	NUM
fcis-11268	84	12	*	*	PUNCT
fcis-11268	84	13	*	*	PUNCT
fcis-11268	85	1	n	n	X
fcis-11268	85	2	m	m	VERB
fcis-11268	86	1	i	i	PRON
fcis-11268	86	2	i	i	PRON
fcis-11268	86	3	score	score	VERB
fcis-11268	86	4	a	a	DET
fcis-11268	86	5	pos	pos	NOUN
fcis-11268	86	6	b	b	NOUN
fcis-11268	86	7	neg	neg	VERB
fcis-11268	86	8			NOUN
fcis-11268	86	9			NUM
fcis-11268	86	10			NUM
fcis-11268	87	1			NOUN
fcis-11268	87	2			X
fcis-11268	87	3	where	where	SCONJ
fcis-11268	87	4	:	:	PUNCT
fcis-11268	87	5	score	score	NOUN
fcis-11268	87	6	is	be	AUX
fcis-11268	87	7	the	the	DET
fcis-11268	87	8	text	text	NOUN
fcis-11268	87	9	sentiment	sentiment	NOUN
fcis-11268	87	10	score	score	NOUN
fcis-11268	87	11	,	,	PUNCT
fcis-11268	87	12	a	a	PRON
fcis-11268	87	13	is	be	AUX
fcis-11268	87	14	the	the	DET
fcis-11268	87	15	positive	positive	ADJ
fcis-11268	87	16	word	word	NOUN
fcis-11268	87	17	auxiliary	auxiliary	ADJ
fcis-11268	87	18	weight	weight	NOUN
fcis-11268	87	19	,	,	PUNCT
fcis-11268	87	20	1	1	NUM
fcis-11268	87	21	*	*	PUNCT
fcis-11268	87	22	n	n	VERB
fcis-11268	87	23	i	i	PRON
fcis-11268	87	24	a	a	DET
fcis-11268	87	25	pos	pos	NOUN
fcis-11268	87	26			NOUN
fcis-11268	87	27			NOUN
fcis-11268	87	28	is	be	AUX
fcis-11268	87	29	the	the	DET
fcis-11268	87	30	positive	positive	ADJ
fcis-11268	87	31	word	word	NOUN
fcis-11268	87	32	weight	weight	NOUN
fcis-11268	87	33	multiplied	multiply	VERB
fcis-11268	87	34	by	by	ADP
fcis-11268	87	35	the	the	DET
fcis-11268	87	36	cumulative	cumulative	ADJ
fcis-11268	87	37	sum	sum	NOUN
fcis-11268	87	38	in	in	ADP
fcis-11268	87	39	the	the	DET
fcis-11268	87	40	text	text	NOUN
fcis-11268	87	41	,	,	PUNCT
fcis-11268	87	42	b	b	PROPN
fcis-11268	87	43	is	be	AUX
fcis-11268	87	44	the	the	DET
fcis-11268	87	45	positive	positive	ADJ
fcis-11268	87	46	word	word	NOUN
fcis-11268	87	47	auxiliary	auxiliary	ADJ
fcis-11268	87	48	weight	weight	NOUN
fcis-11268	87	49	,	,	PUNCT
fcis-11268	87	50	and	and	CCONJ
fcis-11268	87	51	1	1	NUM
fcis-11268	87	52	*	*	NOUN
fcis-11268	87	53	m	m	VERB
fcis-11268	87	54	i	i	PRON
fcis-11268	87	55	b	b	NOUN
fcis-11268	87	56	neg	neg	VERB
fcis-11268	87	57			PROPN
fcis-11268	87	58			NOUN
fcis-11268	87	59	is	be	AUX
fcis-11268	87	60	the	the	DET
fcis-11268	87	61	negative	negative	ADJ
fcis-11268	87	62	word	word	NOUN
fcis-11268	87	63	weight	weight	NOUN
fcis-11268	87	64	in	in	ADP
fcis-11268	87	65	the	the	DET
fcis-11268	87	66	text	text	NOUN
fcis-11268	87	67	multiplied	multiply	VERB
fcis-11268	87	68	by	by	ADP
fcis-11268	87	69	the	the	DET
fcis-11268	87	70	accumulation	accumulation	NOUN
fcis-11268	87	71	and	and	CCONJ
fcis-11268	87	72	sum	sum	NOUN
fcis-11268	87	73	.	.	PUNCT
fcis-11268	88	1	3.3	3.3	NUM
fcis-11268	88	2	.	.	PUNCT
fcis-11268	89	1	overall	overall	ADJ
fcis-11268	89	2	framework	framework	NOUN
fcis-11268	89	3	design	design	NOUN
fcis-11268	89	4	in	in	ADP
fcis-11268	89	5	summary	summary	NOUN
fcis-11268	89	6	,	,	PUNCT
fcis-11268	89	7	the	the	DET
fcis-11268	89	8	overall	overall	ADJ
fcis-11268	89	9	framework	framework	NOUN
fcis-11268	89	10	of	of	ADP
fcis-11268	89	11	the	the	DET
fcis-11268	89	12	model	model	NOUN
fcis-11268	89	13	consists	consist	VERB
fcis-11268	89	14	of	of	ADP
fcis-11268	89	15	two	two	NUM
fcis-11268	89	16	parts	part	NOUN
fcis-11268	89	17	,	,	PUNCT
fcis-11268	89	18	using	use	VERB
fcis-11268	89	19	emd	emd	PROPN
fcis-11268	89	20	decomposition	decomposition	NOUN
fcis-11268	89	21	to	to	PART
fcis-11268	89	22	obtain	obtain	VERB
fcis-11268	89	23	new	new	ADJ
fcis-11268	89	24	characteristics	characteristic	NOUN
fcis-11268	89	25	for	for	ADP
fcis-11268	89	26	the	the	DET
fcis-11268	89	27	closing	closing	NOUN
fcis-11268	89	28	price	price	NOUN
fcis-11268	89	29	series	series	NOUN
fcis-11268	89	30	,	,	PUNCT
fcis-11268	89	31	sentiment	sentiment	NOUN
fcis-11268	89	32	analysis	analysis	NOUN
fcis-11268	89	33	to	to	PART
fcis-11268	89	34	obtain	obtain	VERB
fcis-11268	89	35	daily	daily	ADJ
fcis-11268	89	36	investor	investor	NOUN
fcis-11268	89	37	sentiment	sentiment	NOUN
fcis-11268	89	38	,	,	PUNCT
fcis-11268	89	39	and	and	CCONJ
fcis-11268	89	40	finally	finally	ADV
fcis-11268	89	41	input	input	VERB
fcis-11268	89	42	the	the	DET
fcis-11268	89	43	obtained	obtain	VERB
fcis-11268	89	44	new	new	ADJ
fcis-11268	89	45	characteristics	characteristic	NOUN
fcis-11268	89	46	,	,	PUNCT
fcis-11268	89	47	investor	investor	NOUN
fcis-11268	89	48	sentiment	sentiment	NOUN
fcis-11268	89	49	and	and	CCONJ
fcis-11268	89	50	basic	basic	ADJ
fcis-11268	89	51	stock	stock	NOUN
fcis-11268	89	52	market	market	NOUN
fcis-11268	89	53	(	(	PUNCT
fcis-11268	89	54	opening	opening	NOUN
fcis-11268	89	55	price	price	NOUN
fcis-11268	89	56	,	,	PUNCT
fcis-11268	89	57	closing	closing	NOUN
fcis-11268	89	58	price	price	NOUN
fcis-11268	89	59	,	,	PUNCT
fcis-11268	89	60	high	high	ADJ
fcis-11268	89	61	price	price	NOUN
fcis-11268	89	62	,	,	PUNCT
fcis-11268	89	63	low	low	ADJ
fcis-11268	89	64	price	price	NOUN
fcis-11268	89	65	,	,	PUNCT
fcis-11268	89	66	trading	trading	NOUN
fcis-11268	89	67	volume	volume	NOUN
fcis-11268	89	68	,	,	PUNCT
fcis-11268	89	69	transaction	transaction	NOUN
fcis-11268	89	70	amount	amount	NOUN
fcis-11268	89	71	)	)	PUNCT
fcis-11268	89	72	data	datum	NOUN
fcis-11268	89	73	into	into	ADP
fcis-11268	89	74	the	the	DET
fcis-11268	89	75	bilstm	bilstm	NOUN
fcis-11268	89	76	neural	neural	ADJ
fcis-11268	89	77	network	network	NOUN
fcis-11268	89	78	to	to	PART
fcis-11268	89	79	predict	predict	VERB
fcis-11268	89	80	the	the	DET
fcis-11268	89	81	rise	rise	NOUN
fcis-11268	89	82	and	and	CCONJ
fcis-11268	89	83	fall	fall	NOUN
fcis-11268	89	84	of	of	ADP
fcis-11268	89	85	stock	stock	NOUN
fcis-11268	89	86	prices	price	NOUN
fcis-11268	89	87	.	.	PUNCT
fcis-11268	90	1	the	the	DET
fcis-11268	90	2	hierarchy	hierarchy	NOUN
fcis-11268	90	3	of	of	ADP
fcis-11268	90	4	emd	emd	PROPN
fcis-11268	90	5	-	-	PUNCT
fcis-11268	90	6	bilstm	bilstm	NOUN
fcis-11268	90	7	neural	neural	ADJ
fcis-11268	90	8	network	network	NOUN
fcis-11268	90	9	consists	consist	VERB
fcis-11268	90	10	of	of	ADP
fcis-11268	90	11	4	4	NUM
fcis-11268	90	12	parts	part	NOUN
fcis-11268	90	13	.	.	PUNCT
fcis-11268	91	1	1	1	NUM
fcis-11268	91	2	)	)	PUNCT
fcis-11268	91	3	input	input	NOUN
fcis-11268	91	4	layer	layer	NOUN
fcis-11268	91	5	.	.	PUNCT
fcis-11268	92	1	take	take	VERB
fcis-11268	92	2	the	the	DET
fcis-11268	92	3	specific	specific	ADJ
fcis-11268	92	4	characteristics	characteristic	NOUN
fcis-11268	92	5	of	of	ADP
fcis-11268	92	6	each	each	DET
fcis-11268	92	7	time	time	NOUN
fcis-11268	92	8	step	step	NOUN
fcis-11268	92	9	(	(	PUNCT
fcis-11268	92	10	including	include	VERB
fcis-11268	92	11	open	open	ADJ
fcis-11268	92	12	,	,	PUNCT
fcis-11268	92	13	close	close	ADJ
fcis-11268	92	14	,	,	PUNCT
fcis-11268	92	15	high	high	ADJ
fcis-11268	92	16	,	,	PUNCT
fcis-11268	92	17	...	...	PUNCT
fcis-11268	92	18	,	,	PUNCT
fcis-11268	92	19	investor	investor	NOUN
fcis-11268	92	20	sentiment	sentiment	NOUN
fcis-11268	92	21	)	)	PUNCT
fcis-11268	92	22	as	as	ADP
fcis-11268	92	23	input	input	NOUN
fcis-11268	92	24	.	.	PUNCT
fcis-11268	93	1	let	let	VERB
fcis-11268	93	2	the	the	DET
fcis-11268	93	3	input	input	NOUN
fcis-11268	93	4	time	time	NOUN
fcis-11268	93	5	step	step	NOUN
fcis-11268	93	6	be	be	VERB
fcis-11268	93	7	n	n	CCONJ
fcis-11268	93	8	,	,	PUNCT
fcis-11268	93	9	then	then	ADV
fcis-11268	93	10	the	the	DET
fcis-11268	93	11	input	input	NOUN
fcis-11268	93	12	sequence	sequence	NOUN
fcis-11268	93	13	142	142	NUM
fcis-11268	93	14	that	that	PRON
fcis-11268	93	15	predicts	predict	VERB
fcis-11268	93	16	the	the	DET
fcis-11268	93	17	rise	rise	NOUN
fcis-11268	93	18	and	and	CCONJ
fcis-11268	93	19	fall	fall	NOUN
fcis-11268	93	20	of	of	ADP
fcis-11268	93	21	the	the	DET
fcis-11268	93	22	stock	stock	NOUN
fcis-11268	93	23	price	price	NOUN
fcis-11268	93	24	on	on	ADP
fcis-11268	93	25	day	day	NOUN
fcis-11268	93	26	t	t	PROPN
fcis-11268	93	27	is	be	AUX
fcis-11268	93	28	expressed	express	VERB
fcis-11268	93	29	as	as	SCONJ
fcis-11268	93	30	follows	follow	VERB
fcis-11268	93	31	:	:	PUNCT
fcis-11268	93	32			ADJ
fcis-11268	93	33	1	1	NOUN
fcis-11268	93	34	1	1	NUM
fcis-11268	93	35	t	t	NOUN
fcis-11268	93	36	t	t	PROPN
fcis-11268	93	37	n	n	ADP
fcis-11268	93	38	t	t	PROPN
fcis-11268	94	1	n	n	AUX
fcis-11268	94	2	tx	tx	VERB
fcis-11268	94	3	x	x	PUNCT
fcis-11268	94	4	x	x	PROPN
fcis-11268	94	5	x	x	PROPN
fcis-11268	94	6			PROPN
fcis-11268	94	7			VERB
fcis-11268	94	8			ADJ
fcis-11268	94	9			NOUN
fcis-11268	94	10	，	，	PUNCT
fcis-11268	94	11	，	，	PUNCT
fcis-11268	94	12	，	，	PUNCT
fcis-11268	94	13			ADJ
fcis-11268	94	14	1	1	NOUN
fcis-11268	94	15	1	1	NUM
fcis-11268	94	16	1	1	NUM
fcis-11268	94	17	1	1	NUM
fcis-11268	94	18	1	1	NUM
fcis-11268	94	19	1	1	NUM
fcis-11268	94	20	t	t	NOUN
fcis-11268	94	21	t	t	NOUN
fcis-11268	94	22	t	t	PROPN
fcis-11268	94	23	t	t	PROPN
fcis-11268	94	24	t	t	PROPN
fcis-11268	94	25	tx	tx	VERB
fcis-11268	94	26	open	open	VERB
fcis-11268	94	27	close	close	ADJ
fcis-11268	94	28	imf	imf	PROPN
fcis-11268	94	29	res	re	NOUN
fcis-11268	94	30	sentiment	sentiment	ADJ
fcis-11268	94	31			PROPN
fcis-11268	94	32			PROPN
fcis-11268	94	33			PROPN
fcis-11268	94	34			NOUN
fcis-11268	94	35			ADJ
fcis-11268	94	36			NOUN
fcis-11268	94	37	，	，	PUNCT
fcis-11268	94	38	，	，	PROPN
fcis-11268	94	39	，	，	PROPN
fcis-11268	94	40	，	，	PUNCT
fcis-11268	94	41	，	，	PUNCT
fcis-11268	94	42	among	among	ADP
fcis-11268	94	43	them	they	PRON
fcis-11268	94	44	:	:	PUNCT
fcis-11268	94	45	imft-1	imft-1	NUM
fcis-11268	94	46	and	and	CCONJ
fcis-11268	94	47	rest-1	rest-1	PRON
fcis-11268	94	48	are	be	AUX
fcis-11268	94	49	the	the	DET
fcis-11268	94	50	values	value	NOUN
fcis-11268	94	51	of	of	ADP
fcis-11268	94	52	the	the	DET
fcis-11268	94	53	n	n	PRON
fcis-11268	94	54	imf	imf	ADJ
fcis-11268	94	55	trend	trend	NOUN
fcis-11268	94	56	terms	term	NOUN
fcis-11268	94	57	and	and	CCONJ
fcis-11268	94	58	residual	residual	ADJ
fcis-11268	94	59	terms	term	NOUN
fcis-11268	94	60	obtained	obtain	VERB
fcis-11268	94	61	by	by	ADP
fcis-11268	94	62	decomposing	decompose	VERB
fcis-11268	94	63	the	the	DET
fcis-11268	94	64	closing	closing	NOUN
fcis-11268	94	65	price	price	NOUN
fcis-11268	94	66	on	on	ADP
fcis-11268	94	67	the	the	DET
fcis-11268	94	68	t-1	t-1	PROPN
fcis-11268	94	69	day	day	NOUN
fcis-11268	94	70	,	,	PUNCT
fcis-11268	94	71	and	and	CCONJ
fcis-11268	94	72	sentimentt-1	sentimentt-1	NUM
fcis-11268	94	73	is	be	AUX
fcis-11268	94	74	the	the	DET
fcis-11268	94	75	investor	investor	NOUN
fcis-11268	94	76	sentiment	sentiment	NOUN
fcis-11268	94	77	on	on	ADP
fcis-11268	94	78	the	the	DET
fcis-11268	94	79	t-1	t-1	PROPN
fcis-11268	94	80	day	day	PROPN
fcis-11268	94	81	.	.	PUNCT
fcis-11268	95	1	2	2	X
fcis-11268	95	2	)	)	PUNCT
fcis-11268	95	3	bilstm	bilstm	NOUN
fcis-11268	95	4	layer	layer	NOUN
fcis-11268	95	5	.	.	PUNCT
fcis-11268	96	1	using	use	VERB
fcis-11268	96	2	two	two	NUM
fcis-11268	96	3	lstm	lstm	ADJ
fcis-11268	96	4	networks	network	NOUN
fcis-11268	96	5	in	in	ADP
fcis-11268	96	6	the	the	DET
fcis-11268	96	7	forward	forward	NOUN
fcis-11268	96	8	and	and	CCONJ
fcis-11268	96	9	reverse	reverse	ADJ
fcis-11268	96	10	directions	direction	NOUN
fcis-11268	96	11	to	to	PART
fcis-11268	96	12	learn	learn	VERB
fcis-11268	96	13	the	the	DET
fcis-11268	96	14	input	input	NOUN
fcis-11268	96	15	sequence	sequence	NOUN
fcis-11268	96	16	bidirectionally	bidirectionally	ADV
fcis-11268	96	17	,	,	PUNCT
fcis-11268	96	18	using	use	VERB
fcis-11268	96	19	the	the	DET
fcis-11268	96	20	input	input	NOUN
fcis-11268	96	21	sequence	sequence	NOUN
fcis-11268	96	22	x	x	PART
fcis-11268	96	23	to	to	PART
fcis-11268	96	24	calculate	calculate	VERB
fcis-11268	96	25	the	the	DET
fcis-11268	96	26	output	output	NOUN
fcis-11268	96	27	state	state	NOUN
fcis-11268	96	28	,	,	PUNCT
fcis-11268	96	29	t	t	PROPN
fcis-11268	96	30	ih	ih	NOUN
fcis-11268	96	31			ADJ
fcis-11268	96	32	of	of	ADP
fcis-11268	96	33	the	the	DET
fcis-11268	96	34	ith	ith	PROPN
fcis-11268	96	35	input	input	NOUN
fcis-11268	96	36	vector	vector	NOUN
fcis-11268	96	37	of	of	ADP
fcis-11268	96	38	the	the	DET
fcis-11268	96	39	forward	forward	ADJ
fcis-11268	96	40	layer	layer	NOUN
fcis-11268	96	41	,	,	PUNCT
fcis-11268	96	42	and	and	CCONJ
fcis-11268	96	43	using	use	VERB
fcis-11268	96	44	the	the	DET
fcis-11268	96	45	reverse	reverse	ADJ
fcis-11268	96	46	form	form	NOUN
fcis-11268	96	47	of	of	ADP
fcis-11268	96	48	x	x	PART
fcis-11268	96	49	to	to	PART
fcis-11268	96	50	calculate	calculate	VERB
fcis-11268	96	51	the	the	DET
fcis-11268	96	52	output	output	NOUN
fcis-11268	96	53	state	state	NOUN
fcis-11268	96	54	,	,	PUNCT
fcis-11268	96	55	t	t	PROPN
fcis-11268	96	56	ih	ih	NOUN
fcis-11268	96	57			PROPN
fcis-11268	96	58	of	of	ADP
fcis-11268	96	59	the	the	DET
fcis-11268	96	60	reverse	reverse	ADJ
fcis-11268	96	61	layer	layer	NOUN
fcis-11268	96	62	,	,	PUNCT
fcis-11268	96	63	then	then	ADV
fcis-11268	96	64	the	the	DET
fcis-11268	96	65	output	output	NOUN
fcis-11268	96	66	of	of	ADP
fcis-11268	96	67	the	the	DET
fcis-11268	96	68	bilstm	bilstm	NOUN
fcis-11268	96	69	layer	layer	NOUN
fcis-11268	96	70	is	be	AUX
fcis-11268	96	71	ht=[ht,1,ht,2,	ht=[ht,1,ht,2,	NOUN
fcis-11268	96	72	…	…	X
fcis-11268	96	73	,ht	,ht	NOUN
fcis-11268	96	74	,	,	PUNCT
fcis-11268	96	75	i,	i,	X
fcis-11268	96	76	…	…	PUNCT
fcis-11268	96	77	,ht	,ht	ADJ
fcis-11268	96	78	,	,	PUNCT
fcis-11268	96	79	n]t	n]t	INTJ
fcis-11268	96	80	,	,	PUNCT
fcis-11268	96	81	where	where	SCONJ
fcis-11268	96	82	ht	ht	PROPN
fcis-11268	96	83	,	,	PUNCT
fcis-11268	96	84	i	i	PRON
fcis-11268	96	85	contains	contain	VERB
fcis-11268	96	86	the	the	DET
fcis-11268	96	87	forward	forward	NOUN
fcis-11268	96	88	,	,	PUNCT
fcis-11268	96	89	t	t	PROPN
fcis-11268	96	90	ih	ih	NOUN
fcis-11268	96	91			ADV
fcis-11268	96	92	and	and	CCONJ
fcis-11268	96	93	the	the	DET
fcis-11268	96	94	reverse	reverse	NOUN
fcis-11268	96	95	,	,	PUNCT
fcis-11268	96	96	t	t	PROPN
fcis-11268	96	97	ih	ih	NOUN
fcis-11268	97	1			PROPN
fcis-11268	97	2	:	:	PUNCT
fcis-11268	97	3	,	,	PUNCT
fcis-11268	97	4	,	,	PUNCT
fcis-11268	97	5	,	,	PUNCT
fcis-11268	97	6	[	[	PUNCT
fcis-11268	97	7	]	]	X
fcis-11268	97	8	t	t	X
fcis-11268	98	1	i	i	PRON
fcis-11268	98	2	t	t	X
fcis-11268	99	1	i	i	PRON
fcis-11268	99	2	t	t	VERB
fcis-11268	99	3	ih	ih	NOUN
fcis-11268	100	1	h	h	PROPN
fcis-11268	100	2	h	h	PROPN
fcis-11268	100	3			ADJ
fcis-11268	100	4			NOUN
fcis-11268	100	5			PROPN
fcis-11268	100	6	3	3	NUM
fcis-11268	100	7	)	)	PUNCT
fcis-11268	100	8	dropout	dropout	NOUN
fcis-11268	100	9	layer	layer	NOUN
fcis-11268	100	10	.	.	PUNCT
fcis-11268	101	1	add	add	VERB
fcis-11268	101	2	a	a	DET
fcis-11268	101	3	dropout	dropout	NOUN
fcis-11268	101	4	layer	layer	NOUN
fcis-11268	101	5	to	to	PART
fcis-11268	101	6	prevent	prevent	VERB
fcis-11268	101	7	the	the	DET
fcis-11268	101	8	model	model	NOUN
fcis-11268	101	9	from	from	ADP
fcis-11268	101	10	overfitting	overfitte	VERB
fcis-11268	101	11	.	.	PUNCT
fcis-11268	102	1	at	at	ADP
fcis-11268	102	2	each	each	DET
fcis-11268	102	3	iteration	iteration	NOUN
fcis-11268	102	4	,	,	PUNCT
fcis-11268	102	5	the	the	DET
fcis-11268	102	6	output	output	NOUN
fcis-11268	102	7	of	of	ADP
fcis-11268	102	8	bilstm	bilstm	NOUN
fcis-11268	102	9	neurons	neuron	NOUN
fcis-11268	102	10	is	be	AUX
fcis-11268	102	11	randomly	randomly	ADV
fcis-11268	102	12	zeroed	zero	VERB
fcis-11268	102	13	out	out	ADP
fcis-11268	102	14	according	accord	VERB
fcis-11268	102	15	to	to	ADP
fcis-11268	102	16	the	the	DET
fcis-11268	102	17	specified	specified	ADJ
fcis-11268	102	18	proportion	proportion	NOUN
fcis-11268	102	19	.	.	PUNCT
fcis-11268	103	1	4	4	X
fcis-11268	103	2	)	)	PUNCT
fcis-11268	103	3	output	output	NOUN
fcis-11268	103	4	layer	layer	NOUN
fcis-11268	103	5	.	.	PUNCT
fcis-11268	104	1	select	select	VERB
fcis-11268	104	2	the	the	DET
fcis-11268	104	3	fully	fully	ADV
fcis-11268	104	4	connected	connected	ADJ
fcis-11268	104	5	layer	layer	NOUN
fcis-11268	104	6	to	to	PART
fcis-11268	104	7	output	output	VERB
fcis-11268	104	8	the	the	DET
fcis-11268	104	9	forecast	forecast	NOUN
fcis-11268	104	10	value	value	NOUN
fcis-11268	104	11	of	of	ADP
fcis-11268	104	12	the	the	DET
fcis-11268	104	13	t	t	PROPN
fcis-11268	104	14	-	-	PUNCT
fcis-11268	104	15	day	day	NOUN
fcis-11268	104	16	closing	closing	NOUN
fcis-11268	104	17	price	price	NOUN
fcis-11268	104	18	.	.	PUNCT
fcis-11268	105	1	4	4	X
fcis-11268	105	2	.	.	X
fcis-11268	105	3	empirical	empirical	ADJ
fcis-11268	105	4	analysis	analysis	NOUN
fcis-11268	105	5	4.1	4.1	NUM
fcis-11268	105	6	.	.	PUNCT
fcis-11268	106	1	data	datum	NOUN
fcis-11268	106	2	sources	source	NOUN
fcis-11268	106	3	the	the	DET
fcis-11268	106	4	data	datum	NOUN
fcis-11268	106	5	used	use	VERB
fcis-11268	106	6	in	in	ADP
fcis-11268	106	7	this	this	DET
fcis-11268	106	8	article	article	NOUN
fcis-11268	106	9	comes	come	VERB
fcis-11268	106	10	from	from	ADP
fcis-11268	106	11	the	the	DET
fcis-11268	106	12	wind	wind	NOUN
fcis-11268	106	13	database	database	NOUN
fcis-11268	106	14	,	,	PUNCT
fcis-11268	106	15	and	and	CCONJ
fcis-11268	106	16	the	the	DET
fcis-11268	106	17	indicators	indicator	NOUN
fcis-11268	106	18	include	include	VERB
fcis-11268	106	19	open	open	ADJ
fcis-11268	106	20	,	,	PUNCT
fcis-11268	106	21	high	high	ADJ
fcis-11268	106	22	,	,	PUNCT
fcis-11268	106	23	low	low	ADJ
fcis-11268	106	24	,	,	PUNCT
fcis-11268	106	25	close	close	ADJ
fcis-11268	106	26	,	,	PUNCT
fcis-11268	106	27	up	up	ADV
fcis-11268	106	28	or	or	CCONJ
fcis-11268	106	29	down	down	ADV
fcis-11268	106	30	,	,	PUNCT
fcis-11268	106	31	amplitude	amplitude	NOUN
fcis-11268	106	32	and	and	CCONJ
fcis-11268	106	33	turnover	turnover	NOUN
fcis-11268	106	34	rate	rate	NOUN
fcis-11268	106	35	,	,	PUNCT
fcis-11268	106	36	etc	etc	X
fcis-11268	106	37	.	.	X
fcis-11268	106	38	,	,	PUNCT
fcis-11268	106	39	and	and	CCONJ
fcis-11268	106	40	the	the	DET
fcis-11268	106	41	index	index	NOUN
fcis-11268	106	42	is	be	AUX
fcis-11268	106	43	from	from	ADP
fcis-11268	106	44	january	january	PROPN
fcis-11268	106	45	4	4	NUM
fcis-11268	106	46	,	,	PUNCT
fcis-11268	106	47	2010	2010	NUM
fcis-11268	106	48	to	to	ADP
fcis-11268	106	49	july	july	PROPN
fcis-11268	106	50	15	15	NUM
fcis-11268	106	51	,	,	PUNCT
fcis-11268	106	52	2021	2021	NUM
fcis-11268	106	53	.	.	PUNCT
fcis-11268	107	1	the	the	DET
fcis-11268	107	2	text	text	NOUN
fcis-11268	107	3	data	datum	NOUN
fcis-11268	107	4	such	such	ADJ
fcis-11268	107	5	as	as	ADP
fcis-11268	107	6	investor	investor	NOUN
fcis-11268	107	7	communication	communication	NOUN
fcis-11268	107	8	posts	post	NOUN
fcis-11268	107	9	,	,	PUNCT
fcis-11268	107	10	stock	stock	NOUN
fcis-11268	107	11	information	information	NOUN
fcis-11268	107	12	,	,	PUNCT
fcis-11268	107	13	and	and	CCONJ
fcis-11268	107	14	research	research	NOUN
fcis-11268	107	15	reports	report	NOUN
fcis-11268	107	16	of	of	ADP
fcis-11268	107	17	the	the	DET
fcis-11268	107	18	consumer	consumer	NOUN
fcis-11268	107	19	index	index	NOUN
fcis-11268	107	20	are	be	AUX
fcis-11268	107	21	from	from	ADP
fcis-11268	107	22	the	the	DET
fcis-11268	107	23	oriental	oriental	ADJ
fcis-11268	107	24	wealth	wealth	NOUN
fcis-11268	107	25	stock	stock	PROPN
fcis-11268	107	26	bar	bar	PROPN
fcis-11268	107	27	forum	forum	PROPN
fcis-11268	107	28	,	,	PUNCT
fcis-11268	107	29	covering	cover	VERB
fcis-11268	107	30	the	the	DET
fcis-11268	107	31	period	period	NOUN
fcis-11268	107	32	from	from	ADP
fcis-11268	107	33	january	january	PROPN
fcis-11268	107	34	4	4	NUM
fcis-11268	107	35	,	,	PUNCT
fcis-11268	107	36	2010	2010	NUM
fcis-11268	107	37	to	to	ADP
fcis-11268	107	38	july	july	PROPN
fcis-11268	107	39	15	15	NUM
fcis-11268	107	40	,	,	PUNCT
fcis-11268	107	41	2021	2021	NUM
fcis-11268	107	42	,	,	PUNCT
fcis-11268	107	43	with	with	ADP
fcis-11268	107	44	a	a	DET
fcis-11268	107	45	total	total	NOUN
fcis-11268	107	46	of	of	ADP
fcis-11268	107	47	545598	545598	NUM
fcis-11268	107	48	articles	article	NOUN
fcis-11268	107	49	,	,	PUNCT
fcis-11268	107	50	obtained	obtain	VERB
fcis-11268	107	51	using	use	VERB
fcis-11268	107	52	crawler	crawler	NOUN
fcis-11268	107	53	technology	technology	NOUN
fcis-11268	107	54	.	.	PUNCT
fcis-11268	108	1	among	among	ADP
fcis-11268	108	2	them	they	PRON
fcis-11268	108	3	,	,	PUNCT
fcis-11268	108	4	85	85	NUM
fcis-11268	108	5	%	%	NOUN
fcis-11268	108	6	of	of	ADP
fcis-11268	108	7	the	the	DET
fcis-11268	108	8	data	datum	NOUN
fcis-11268	108	9	on	on	ADP
fcis-11268	108	10	the	the	DET
fcis-11268	108	11	trading	trading	NOUN
fcis-11268	108	12	day	day	NOUN
fcis-11268	108	13	is	be	AUX
fcis-11268	108	14	used	use	VERB
fcis-11268	108	15	as	as	ADP
fcis-11268	108	16	a	a	DET
fcis-11268	108	17	training	training	NOUN
fcis-11268	108	18	set	set	VERB
fcis-11268	108	19	to	to	PART
fcis-11268	108	20	train	train	VERB
fcis-11268	108	21	the	the	DET
fcis-11268	108	22	model	model	NOUN
fcis-11268	108	23	,	,	PUNCT
fcis-11268	108	24	and	and	CCONJ
fcis-11268	108	25	the	the	DET
fcis-11268	108	26	remaining	remain	VERB
fcis-11268	108	27	15	15	NUM
fcis-11268	108	28	%	%	NOUN
fcis-11268	108	29	is	be	AUX
fcis-11268	108	30	used	use	VERB
fcis-11268	108	31	to	to	PART
fcis-11268	108	32	test	test	VERB
fcis-11268	108	33	the	the	DET
fcis-11268	108	34	model	model	NOUN
fcis-11268	108	35	and	and	CCONJ
fcis-11268	108	36	verify	verify	VERB
fcis-11268	108	37	the	the	DET
fcis-11268	108	38	model	model	NOUN
fcis-11268	108	39	effect	effect	NOUN
fcis-11268	108	40	.	.	PUNCT
fcis-11268	109	1	4.2	4.2	NUM
fcis-11268	109	2	.	.	PUNCT
fcis-11268	109	3	data	datum	NOUN
fcis-11268	109	4	preprocessing	preprocesse	VERB
fcis-11268	109	5	1	1	NUM
fcis-11268	109	6	)	)	PUNCT
fcis-11268	109	7	emd	emd	PROPN
fcis-11268	109	8	decomposition	decomposition	NOUN
fcis-11268	109	9	a	a	DET
fcis-11268	109	10	stepwise	stepwise	PROPN
fcis-11268	109	11	emd	emd	PROPN
fcis-11268	109	12	decomposition	decomposition	NOUN
fcis-11268	109	13	method	method	NOUN
fcis-11268	109	14	is	be	AUX
fcis-11268	109	15	adopted	adopt	VERB
fcis-11268	109	16	for	for	ADP
fcis-11268	109	17	the	the	DET
fcis-11268	109	18	closing	closing	NOUN
fcis-11268	109	19	price	price	NOUN
fcis-11268	109	20	of	of	ADP
fcis-11268	109	21	stocks	stock	NOUN
fcis-11268	109	22	,	,	PUNCT
fcis-11268	109	23	and	and	CCONJ
fcis-11268	109	24	imfs	imfs	NOUN
fcis-11268	109	25	and	and	CCONJ
fcis-11268	109	26	trend	trend	NOUN
fcis-11268	109	27	terms	term	NOUN
fcis-11268	109	28	are	be	AUX
fcis-11268	109	29	added	add	VERB
fcis-11268	109	30	as	as	ADP
fcis-11268	109	31	new	new	ADJ
fcis-11268	109	32	features	feature	NOUN
fcis-11268	109	33	to	to	ADP
fcis-11268	109	34	the	the	DET
fcis-11268	109	35	forecast	forecast	NOUN
fcis-11268	109	36	model	model	NOUN
fcis-11268	109	37	.	.	PUNCT
fcis-11268	110	1	taking	take	VERB
fcis-11268	110	2	the	the	DET
fcis-11268	110	3	current	current	ADJ
fcis-11268	110	4	era	era	NOUN
fcis-11268	110	5	as	as	ADP
fcis-11268	110	6	an	an	DET
fcis-11268	110	7	example	example	NOUN
fcis-11268	110	8	,	,	PUNCT
fcis-11268	110	9	the	the	DET
fcis-11268	110	10	imfs	imfs	NOUN
fcis-11268	110	11	and	and	CCONJ
fcis-11268	110	12	trend	trend	NOUN
fcis-11268	110	13	items	item	NOUN
fcis-11268	110	14	obtained	obtain	VERB
fcis-11268	110	15	after	after	ADP
fcis-11268	110	16	decomposition	decomposition	NOUN
fcis-11268	110	17	are	be	AUX
fcis-11268	110	18	shown	show	VERB
fcis-11268	110	19	in	in	ADP
fcis-11268	110	20	figure	figure	NOUN
fcis-11268	110	21	3	3	NUM
fcis-11268	110	22	2	2	NUM
fcis-11268	110	23	)	)	PUNCT
fcis-11268	110	24	text	text	NOUN
fcis-11268	110	25	preprocessing	preprocessing	NOUN
fcis-11268	110	26	text	text	NOUN
fcis-11268	110	27	preprocessing	preprocessing	NOUN
fcis-11268	110	28	includes	include	VERB
fcis-11268	110	29	the	the	DET
fcis-11268	110	30	removal	removal	NOUN
fcis-11268	110	31	of	of	ADP
fcis-11268	110	32	duplicate	duplicate	ADJ
fcis-11268	110	33	text	text	NOUN
fcis-11268	110	34	,	,	PUNCT
fcis-11268	110	35	the	the	DET
fcis-11268	110	36	classification	classification	NOUN
fcis-11268	110	37	and	and	CCONJ
fcis-11268	110	38	summary	summary	NOUN
fcis-11268	110	39	of	of	ADP
fcis-11268	110	40	text	text	NOUN
fcis-11268	110	41	from	from	ADP
fcis-11268	110	42	the	the	DET
fcis-11268	110	43	close	close	NOUN
fcis-11268	110	44	of	of	ADP
fcis-11268	110	45	the	the	DET
fcis-11268	110	46	previous	previous	ADJ
fcis-11268	110	47	stock	stock	NOUN
fcis-11268	110	48	trading	trading	NOUN
fcis-11268	110	49	day	day	NOUN
fcis-11268	110	50	to	to	ADP
fcis-11268	110	51	the	the	DET
fcis-11268	110	52	opening	opening	NOUN
fcis-11268	110	53	of	of	ADP
fcis-11268	110	54	the	the	DET
fcis-11268	110	55	stock	stock	NOUN
fcis-11268	110	56	market	market	NOUN
fcis-11268	110	57	on	on	ADP
fcis-11268	110	58	the	the	DET
fcis-11268	110	59	same	same	ADJ
fcis-11268	110	60	day	day	NOUN
fcis-11268	110	61	,	,	PUNCT
fcis-11268	110	62	word	word	NOUN
fcis-11268	110	63	segmentation	segmentation	NOUN
fcis-11268	110	64	,	,	PUNCT
fcis-11268	110	65	de	de	ADJ
fcis-11268	110	66	-	-	ADJ
fcis-11268	110	67	pause	pause	ADJ
fcis-11268	110	68	words	word	NOUN
fcis-11268	110	69	,	,	PUNCT
fcis-11268	110	70	and	and	CCONJ
fcis-11268	110	71	sentiment	sentiment	NOUN
fcis-11268	110	72	score	score	NOUN
fcis-11268	110	73	quantification	quantification	NOUN
fcis-11268	110	74	.	.	PUNCT
fcis-11268	111	1	chinese	chinese	ADJ
fcis-11268	111	2	word	word	NOUN
fcis-11268	111	3	segmentation	segmentation	NOUN
fcis-11268	111	4	and	and	CCONJ
fcis-11268	111	5	removal	removal	NOUN
fcis-11268	111	6	of	of	ADP
fcis-11268	111	7	stop	stop	NOUN
fcis-11268	111	8	words	word	NOUN
fcis-11268	111	9	:	:	PUNCT
fcis-11268	111	10	foolnltk	foolnltk	NOUN
fcis-11268	111	11	based	base	VERB
fcis-11268	111	12	on	on	ADP
fcis-11268	111	13	bilstm	bilstm	NOUN
fcis-11268	111	14	training	training	NOUN
fcis-11268	111	15	is	be	AUX
fcis-11268	111	16	used	use	VERB
fcis-11268	111	17	to	to	PART
fcis-11268	111	18	complete	complete	VERB
fcis-11268	111	19	word	word	NOUN
fcis-11268	111	20	segmentation	segmentation	NOUN
fcis-11268	111	21	,	,	PUNCT
fcis-11268	111	22	and	and	CCONJ
fcis-11268	111	23	the	the	DET
fcis-11268	111	24	stop	stop	NOUN
fcis-11268	111	25	word	word	NOUN
fcis-11268	111	26	list	list	NOUN
fcis-11268	111	27	of	of	ADP
fcis-11268	111	28	hit	hit	NOUN
fcis-11268	111	29	after	after	ADP
fcis-11268	111	30	removing	remove	VERB
fcis-11268	111	31	basic	basic	ADJ
fcis-11268	111	32	emotional	emotional	ADJ
fcis-11268	111	33	vocabulary	vocabulary	NOUN
fcis-11268	111	34	and	and	CCONJ
fcis-11268	111	35	auxiliary	auxiliary	ADJ
fcis-11268	111	36	weight	weight	NOUN
fcis-11268	111	37	emotional	emotional	ADJ
fcis-11268	111	38	vocabulary	vocabulary	NOUN
fcis-11268	111	39	is	be	AUX
fcis-11268	111	40	used	use	VERB
fcis-11268	111	41	to	to	PART
fcis-11268	111	42	complete	complete	VERB
fcis-11268	111	43	the	the	DET
fcis-11268	111	44	removal	removal	NOUN
fcis-11268	111	45	of	of	ADP
fcis-11268	111	46	stop	stop	VERB
fcis-11268	111	47	words	word	NOUN
fcis-11268	111	48	in	in	ADP
fcis-11268	111	49	the	the	DET
fcis-11268	111	50	word	word	NOUN
fcis-11268	111	51	segmentation	segmentation	NOUN
fcis-11268	111	52	process	process	NOUN
fcis-11268	111	53	.	.	PUNCT
fcis-11268	112	1	finally	finally	ADV
fcis-11268	112	2	,	,	PUNCT
fcis-11268	112	3	sentiment	sentiment	NOUN
fcis-11268	112	4	quantification	quantification	NOUN
fcis-11268	112	5	is	be	AUX
fcis-11268	112	6	completed	complete	VERB
fcis-11268	112	7	according	accord	VERB
fcis-11268	112	8	to	to	ADP
fcis-11268	112	9	the	the	DET
fcis-11268	112	10	sentiment	sentiment	NOUN
fcis-11268	112	11	score	score	NOUN
fcis-11268	112	12	calculation	calculation	NOUN
fcis-11268	112	13	formula	formula	NOUN
fcis-11268	112	14	.	.	PUNCT
fcis-11268	113	1	3	3	X
fcis-11268	113	2	)	)	PUNCT
fcis-11268	113	3	normalized	normalize	VERB
fcis-11268	113	4	processing	process	VERB
fcis-11268	113	5	in	in	ADP
fcis-11268	113	6	order	order	NOUN
fcis-11268	113	7	to	to	PART
fcis-11268	113	8	eliminate	eliminate	VERB
fcis-11268	113	9	the	the	DET
fcis-11268	113	10	influence	influence	NOUN
fcis-11268	113	11	of	of	ADP
fcis-11268	113	12	dimensional	dimensional	ADJ
fcis-11268	113	13	differences	difference	NOUN
fcis-11268	113	14	between	between	ADP
fcis-11268	113	15	input	input	NOUN
fcis-11268	113	16	indicators	indicator	NOUN
fcis-11268	113	17	and	and	CCONJ
fcis-11268	113	18	improve	improve	VERB
fcis-11268	113	19	the	the	DET
fcis-11268	113	20	speed	speed	NOUN
fcis-11268	113	21	and	and	CCONJ
fcis-11268	113	22	accuracy	accuracy	NOUN
fcis-11268	113	23	of	of	ADP
fcis-11268	113	24	model	model	NOUN
fcis-11268	113	25	training	training	NOUN
fcis-11268	113	26	,	,	PUNCT
fcis-11268	113	27	it	it	PRON
fcis-11268	113	28	is	be	AUX
fcis-11268	113	29	necessary	necessary	ADJ
fcis-11268	113	30	to	to	PART
fcis-11268	113	31	normalize	normalize	VERB
fcis-11268	113	32	the	the	DET
fcis-11268	113	33	original	original	ADJ
fcis-11268	113	34	data	datum	NOUN
fcis-11268	113	35	.	.	PUNCT
fcis-11268	114	1	this	this	DET
fcis-11268	114	2	paper	paper	NOUN
fcis-11268	114	3	uses	use	VERB
fcis-11268	114	4	min	min	PROPN
fcis-11268	114	5	-	-	ADJ
fcis-11268	114	6	max	max	ADJ
fcis-11268	114	7	standardization	standardization	NOUN
fcis-11268	114	8	,	,	PUNCT
fcis-11268	114	9	and	and	CCONJ
fcis-11268	114	10	its	its	PRON
fcis-11268	114	11	calculation	calculation	NOUN
fcis-11268	114	12	formula	formula	NOUN
fcis-11268	114	13	is	be	AUX
fcis-11268	114	14	as	as	SCONJ
fcis-11268	114	15	follows	follow	VERB
fcis-11268	114	16	:	:	PUNCT
fcis-11268	114	17	*	*	PUNCT
fcis-11268	114	18	min	min	PROPN
fcis-11268	114	19	max	max	PROPN
fcis-11268	114	20	min	min	PROPN
fcis-11268	115	1	x	x	PUNCT
fcis-11268	115	2	x	x	SYM
fcis-11268	115	3			PROPN
fcis-11268	115	4			NUM
fcis-11268	115	5			NOUN
fcis-11268	115	6	where	where	SCONJ
fcis-11268	115	7	max	max	PROPN
fcis-11268	115	8	is	be	AUX
fcis-11268	115	9	the	the	DET
fcis-11268	115	10	maximum	maximum	ADJ
fcis-11268	115	11	value	value	NOUN
fcis-11268	115	12	of	of	ADP
fcis-11268	115	13	the	the	DET
fcis-11268	115	14	sample	sample	NOUN
fcis-11268	115	15	data	datum	NOUN
fcis-11268	115	16	,	,	PUNCT
fcis-11268	115	17	min	min	PROPN
fcis-11268	115	18	is	be	AUX
fcis-11268	115	19	the	the	DET
fcis-11268	115	20	minimum	minimum	ADJ
fcis-11268	115	21	value	value	NOUN
fcis-11268	115	22	of	of	ADP
fcis-11268	115	23	the	the	DET
fcis-11268	115	24	sample	sample	NOUN
fcis-11268	115	25	data	datum	NOUN
fcis-11268	115	26	,	,	PUNCT
fcis-11268	115	27	and	and	CCONJ
fcis-11268	115	28	x	x	X
fcis-11268	115	29	is	be	AUX
fcis-11268	115	30	the	the	DET
fcis-11268	115	31	original	original	ADJ
fcis-11268	115	32	value	value	NOUN
fcis-11268	115	33	that	that	PRON
fcis-11268	115	34	needs	need	VERB
fcis-11268	115	35	to	to	PART
fcis-11268	115	36	be	be	AUX
fcis-11268	115	37	normalized	normalize	VERB
fcis-11268	115	38	.	.	PUNCT
fcis-11268	116	1	figure	figure	VERB
fcis-11268	116	2	3	3	NUM
fcis-11268	116	3	.	.	PUNCT
fcis-11268	116	4	emd	emd	PROPN
fcis-11268	116	5	decomposition	decomposition	NOUN
fcis-11268	116	6	results	result	VERB
fcis-11268	116	7	4.3	4.3	NUM
fcis-11268	116	8	.	.	PUNCT
fcis-11268	116	9	model	model	NOUN
fcis-11268	116	10	performance	performance	NOUN
fcis-11268	116	11	comparison	comparison	NOUN
fcis-11268	116	12	and	and	CCONJ
fcis-11268	116	13	analysis	analysis	NOUN
fcis-11268	116	14	table	table	NOUN
fcis-11268	116	15	3	3	NUM
fcis-11268	116	16	.	.	PUNCT
fcis-11268	116	17	comparison	comparison	NOUN
fcis-11268	116	18	of	of	ADP
fcis-11268	116	19	overall	overall	ADJ
fcis-11268	116	20	model	model	NOUN
fcis-11268	116	21	indicators	indicator	NOUN
fcis-11268	116	22	model	model	NOUN
fcis-11268	116	23	accuracy	accuracy	PROPN
fcis-11268	116	24	precision	precision	NOUN
fcis-11268	116	25	recall	recall	NOUN
fcis-11268	116	26	f1	f1	PROPN
fcis-11268	116	27	rise	rise	NOUN
fcis-11268	116	28	fall	fall	VERB
fcis-11268	116	29	rise	rise	NOUN
fcis-11268	116	30	fall	fall	NOUN
fcis-11268	116	31	rise	rise	NOUN
fcis-11268	116	32	fall	fall	NOUN
fcis-11268	116	33	bilstm	bilstm	NOUN
fcis-11268	116	34	56.51	56.51	NUM
fcis-11268	116	35	58.71	58.71	NUM
fcis-11268	116	36	58.78	58.78	NUM
fcis-11268	116	37	58.95	58.95	NUM
fcis-11268	116	38	58.05	58.05	NUM
fcis-11268	116	39	58.73	58.73	NUM
fcis-11268	116	40	58.60	58.60	NUM
fcis-11268	116	41	emd+	emd+	NOUN
fcis-11268	116	42	bilstm	bilstm	NOUN
fcis-11268	116	43	61.54	61.54	NUM
fcis-11268	116	44	60.36	60.36	NUM
fcis-11268	116	45	60.50	60.50	NUM
fcis-11268	116	46	62.45	62.45	NUM
fcis-11268	116	47	61.99	61.99	NUM
fcis-11268	116	48	61.80	61.80	NUM
fcis-11268	116	49	61.07	61.07	NUM
fcis-11268	116	50	emotion	emotion	NOUN
fcis-11268	116	51	+	+	NOUN
fcis-11268	116	52	bilstm	bilstm	NOUN
fcis-11268	116	53	62.33	62.33	NUM
fcis-11268	116	54	63.12	63.12	NUM
fcis-11268	116	55	65.16	65.16	NUM
fcis-11268	116	56	62.60	62.60	NUM
fcis-11268	116	57	62.10	62.10	NUM
fcis-11268	116	58	63.31	63.31	NUM
fcis-11268	116	59	62.53	62.53	NUM
fcis-11268	116	60	emd+emotion+	emd+emotion+	NOUN
fcis-11268	116	61	bilstm	bilstm	NOUN
fcis-11268	116	62	67.12	67.12	NUM
fcis-11268	116	63	68.41	68.41	NUM
fcis-11268	116	64	68.32	68.32	NUM
fcis-11268	116	65	63.21	63.21	NUM
fcis-11268	116	66	68.13	68.13	NUM
fcis-11268	116	67	64.44	64.44	NUM
fcis-11268	116	68	68.53	68.53	NUM
fcis-11268	116	69	in	in	ADP
fcis-11268	116	70	order	order	NOUN
fcis-11268	116	71	to	to	PART
fcis-11268	116	72	evaluate	evaluate	VERB
fcis-11268	116	73	the	the	DET
fcis-11268	116	74	model	model	NOUN
fcis-11268	116	75	proposed	propose	VERB
fcis-11268	116	76	in	in	ADP
fcis-11268	116	77	this	this	DET
fcis-11268	116	78	paper	paper	NOUN
fcis-11268	116	79	,	,	PUNCT
fcis-11268	116	80	this	this	DET
fcis-11268	116	81	paper	paper	NOUN
fcis-11268	116	82	conducts	conduct	VERB
fcis-11268	116	83	a	a	DET
fcis-11268	116	84	series	series	NOUN
fcis-11268	116	85	of	of	ADP
fcis-11268	116	86	comparative	comparative	ADJ
fcis-11268	116	87	experiments	experiment	NOUN
fcis-11268	116	88	and	and	CCONJ
fcis-11268	116	89	sets	set	VERB
fcis-11268	116	90	the	the	DET
fcis-11268	116	91	time	time	NOUN
fcis-11268	116	92	window	window	NOUN
fcis-11268	116	93	of	of	ADP
fcis-11268	116	94	the	the	DET
fcis-11268	116	95	model	model	NOUN
fcis-11268	116	96	input	input	NOUN
fcis-11268	116	97	series	series	NOUN
fcis-11268	116	98	to	to	ADP
fcis-11268	116	99	10	10	NUM
fcis-11268	116	100	,	,	PUNCT
fcis-11268	116	101	that	that	ADV
fcis-11268	116	102	is	is	ADV
fcis-11268	116	103	,	,	PUNCT
fcis-11268	116	104	based	base	VERB
fcis-11268	116	105	on	on	ADP
fcis-11268	116	106	the	the	DET
fcis-11268	116	107	data	datum	NOUN
fcis-11268	116	108	of	of	ADP
fcis-11268	116	109	the	the	DET
fcis-11268	116	110	previous	previous	ADJ
fcis-11268	116	111	10	10	NUM
fcis-11268	116	112	stock	stock	NOUN
fcis-11268	116	113	trading	trading	NOUN
fcis-11268	116	114	days	day	NOUN
fcis-11268	116	115	(	(	PUNCT
fcis-11268	116	116	10	10	NUM
fcis-11268	116	117	is	be	AUX
fcis-11268	116	118	the	the	DET
fcis-11268	116	119	time	time	NOUN
fcis-11268	116	120	step	step	NOUN
fcis-11268	116	121	)	)	PUNCT
fcis-11268	116	122	,	,	PUNCT
fcis-11268	116	123	predict	predict	VERB
fcis-11268	116	124	the	the	DET
fcis-11268	116	125	rise	rise	NOUN
fcis-11268	116	126	and	and	CCONJ
fcis-11268	116	127	fall	fall	NOUN
fcis-11268	116	128	of	of	ADP
fcis-11268	116	129	the	the	DET
fcis-11268	116	130	stock	stock	NOUN
fcis-11268	116	131	price	price	NOUN
fcis-11268	116	132	in	in	ADP
fcis-11268	116	133	the	the	DET
fcis-11268	116	134	next	next	ADJ
fcis-11268	116	135	stock	stock	NOUN
fcis-11268	116	136	trading	trading	NOUN
fcis-11268	116	137	day	day	NOUN
fcis-11268	116	138	in	in	ADP
fcis-11268	116	139	the	the	DET
fcis-11268	116	140	future	future	NOUN
fcis-11268	116	141	.	.	PUNCT
fcis-11268	117	1	taking	take	VERB
fcis-11268	117	2	the	the	DET
fcis-11268	117	3	basic	basic	ADJ
fcis-11268	117	4	market	market	NOUN
fcis-11268	117	5	data	datum	NOUN
fcis-11268	117	6	of	of	ADP
fcis-11268	117	7	stocks	stock	NOUN
fcis-11268	117	8	(	(	PUNCT
fcis-11268	117	9	opening	opening	NOUN
fcis-11268	117	10	price	price	NOUN
fcis-11268	117	11	,	,	PUNCT
fcis-11268	117	12	closing	closing	NOUN
fcis-11268	117	13	price	price	NOUN
fcis-11268	117	14	,	,	PUNCT
fcis-11268	117	15	low	low	ADJ
fcis-11268	117	16	price	price	NOUN
fcis-11268	117	17	,	,	PUNCT
fcis-11268	117	18	high	high	ADJ
fcis-11268	117	19	price	price	NOUN
fcis-11268	117	20	,	,	PUNCT
fcis-11268	117	21	total	total	ADJ
fcis-11268	117	22	trading	trading	NOUN
fcis-11268	117	23	volume	volume	NOUN
fcis-11268	117	24	,	,	PUNCT
fcis-11268	117	25	and	and	CCONJ
fcis-11268	117	26	total	total	ADJ
fcis-11268	117	27	trading	trading	NOUN
fcis-11268	117	28	volume	volume	NOUN
fcis-11268	117	29	)	)	PUNCT
fcis-11268	117	30	of	of	ADP
fcis-11268	117	31	each	each	DET
fcis-11268	117	32	stock	stock	NOUN
fcis-11268	117	33	trading	trading	NOUN
fcis-11268	117	34	day	day	NOUN
fcis-11268	117	35	as	as	ADP
fcis-11268	117	36	the	the	DET
fcis-11268	117	37	basis	basis	NOUN
fcis-11268	117	38	,	,	PUNCT
fcis-11268	117	39	the	the	DET
fcis-11268	117	40	imfs	imfs	NOUN
fcis-11268	117	41	,	,	PUNCT
fcis-11268	117	42	trend	trend	NOUN
fcis-11268	117	43	items	item	NOUN
fcis-11268	117	44	and	and	CCONJ
fcis-11268	117	45	investor	investor	NOUN
fcis-11268	117	46	sentiment	sentiment	NOUN
fcis-11268	117	47	obtained	obtain	VERB
fcis-11268	117	48	by	by	ADP
fcis-11268	117	49	emd	emd	PROPN
fcis-11268	117	50	decomposition	decomposition	NOUN
fcis-11268	117	51	were	be	AUX
fcis-11268	117	52	143	143	NUM
fcis-11268	117	53	added	add	VERB
fcis-11268	117	54	respectively	respectively	ADV
fcis-11268	117	55	,	,	PUNCT
fcis-11268	117	56	and	and	CCONJ
fcis-11268	117	57	the	the	DET
fcis-11268	117	58	emd	emd	PROPN
fcis-11268	117	59	-	-	PUNCT
fcis-11268	117	60	bilstm	bilstm	NOUN
fcis-11268	117	61	model	model	NOUN
fcis-11268	117	62	was	be	AUX
fcis-11268	117	63	established	establish	VERB
fcis-11268	117	64	,	,	PUNCT
fcis-11268	117	65	and	and	CCONJ
fcis-11268	117	66	the	the	DET
fcis-11268	117	67	comparison	comparison	NOUN
fcis-11268	117	68	experiment	experiment	NOUN
fcis-11268	117	69	with	with	ADP
fcis-11268	117	70	bilstm	bilstm	NOUN
fcis-11268	117	71	was	be	AUX
fcis-11268	117	72	carried	carry	VERB
fcis-11268	117	73	out	out	ADP
fcis-11268	117	74	.	.	PUNCT
fcis-11268	118	1	table	table	NOUN
fcis-11268	118	2	3	3	NUM
fcis-11268	118	3	shows	show	VERB
fcis-11268	118	4	the	the	DET
fcis-11268	118	5	comparison	comparison	NOUN
fcis-11268	118	6	of	of	ADP
fcis-11268	118	7	the	the	DET
fcis-11268	118	8	overall	overall	ADJ
fcis-11268	118	9	prediction	prediction	NOUN
fcis-11268	118	10	indicators	indicator	NOUN
fcis-11268	118	11	of	of	ADP
fcis-11268	118	12	each	each	DET
fcis-11268	118	13	model	model	NOUN
fcis-11268	118	14	in	in	ADP
fcis-11268	118	15	the	the	DET
fcis-11268	118	16	consumer	consumer	NOUN
fcis-11268	118	17	industry	industry	NOUN
fcis-11268	118	18	index	index	NOUN
fcis-11268	118	19	.	.	PUNCT
fcis-11268	119	1	it	it	PRON
fcis-11268	119	2	can	can	AUX
fcis-11268	119	3	be	be	AUX
fcis-11268	119	4	seen	see	VERB
fcis-11268	119	5	from	from	ADP
fcis-11268	119	6	table	table	NOUN
fcis-11268	119	7	3	3	NUM
fcis-11268	119	8	that	that	SCONJ
fcis-11268	119	9	the	the	DET
fcis-11268	119	10	introduction	introduction	NOUN
fcis-11268	119	11	of	of	ADP
fcis-11268	119	12	affective	affective	ADJ
fcis-11268	119	13	factors	factor	NOUN
fcis-11268	119	14	and	and	CCONJ
fcis-11268	119	15	emd	emd	PROPN
fcis-11268	119	16	in	in	ADP
fcis-11268	119	17	the	the	DET
fcis-11268	119	18	model	model	NOUN
fcis-11268	119	19	gradually	gradually	ADV
fcis-11268	119	20	improves	improve	VERB
fcis-11268	119	21	the	the	DET
fcis-11268	119	22	prediction	prediction	NOUN
fcis-11268	119	23	accuracy	accuracy	NOUN
fcis-11268	119	24	of	of	ADP
fcis-11268	119	25	the	the	DET
fcis-11268	119	26	model	model	NOUN
fcis-11268	119	27	,	,	PUNCT
fcis-11268	119	28	which	which	PRON
fcis-11268	119	29	can	can	AUX
fcis-11268	119	30	enable	enable	VERB
fcis-11268	119	31	the	the	DET
fcis-11268	119	32	model	model	NOUN
fcis-11268	119	33	to	to	PART
fcis-11268	119	34	better	well	ADV
fcis-11268	119	35	learn	learn	VERB
fcis-11268	119	36	more	more	ADV
fcis-11268	119	37	important	important	ADJ
fcis-11268	119	38	information	information	NOUN
fcis-11268	119	39	.	.	PUNCT
fcis-11268	120	1	the	the	DET
fcis-11268	120	2	overall	overall	ADJ
fcis-11268	120	3	prediction	prediction	NOUN
fcis-11268	120	4	effect	effect	NOUN
fcis-11268	120	5	of	of	ADP
fcis-11268	120	6	bilstm	bilstm	NOUN
fcis-11268	120	7	based	base	VERB
fcis-11268	120	8	on	on	ADP
fcis-11268	120	9	empirical	empirical	ADJ
fcis-11268	120	10	mode	mode	NOUN
fcis-11268	120	11	decomposition	decomposition	NOUN
fcis-11268	120	12	and	and	CCONJ
fcis-11268	120	13	investor	investor	NOUN
fcis-11268	120	14	sentiment	sentiment	NOUN
fcis-11268	120	15	proposed	propose	VERB
fcis-11268	120	16	in	in	ADP
fcis-11268	120	17	this	this	DET
fcis-11268	120	18	paper	paper	NOUN
fcis-11268	120	19	is	be	AUX
fcis-11268	120	20	better	well	ADJ
fcis-11268	120	21	than	than	ADP
fcis-11268	120	22	other	other	ADJ
fcis-11268	120	23	models	model	NOUN
fcis-11268	120	24	,	,	PUNCT
fcis-11268	120	25	and	and	CCONJ
fcis-11268	120	26	the	the	DET
fcis-11268	120	27	prediction	prediction	NOUN
fcis-11268	120	28	performance	performance	NOUN
fcis-11268	120	29	of	of	ADP
fcis-11268	120	30	rise	rise	NOUN
fcis-11268	120	31	and	and	CCONJ
fcis-11268	120	32	fall	fall	NOUN
fcis-11268	120	33	is	be	AUX
fcis-11268	120	34	more	more	ADV
fcis-11268	120	35	balanced	balanced	ADJ
fcis-11268	120	36	than	than	ADP
fcis-11268	120	37	that	that	PRON
fcis-11268	120	38	of	of	ADP
fcis-11268	120	39	other	other	ADJ
fcis-11268	120	40	models	model	NOUN
fcis-11268	120	41	.	.	PUNCT
fcis-11268	121	1	table	table	NOUN
fcis-11268	121	2	4	4	NUM
fcis-11268	121	3	.	.	PUNCT
fcis-11268	121	4	comparison	comparison	NOUN
fcis-11268	121	5	of	of	ADP
fcis-11268	121	6	common	common	ADJ
fcis-11268	121	7	model	model	NOUN
fcis-11268	121	8	indicators	indicator	NOUN
fcis-11268	121	9	(	(	PUNCT
fcis-11268	121	10	input	input	VERB
fcis-11268	121	11	maximum	maximum	ADJ
fcis-11268	121	12	optimization	optimization	NOUN
fcis-11268	121	13	)	)	PUNCT
fcis-11268	121	14	model	model	NOUN
fcis-11268	121	15	accuracy	accuracy	NOUN
fcis-11268	121	16	precision	precision	NOUN
fcis-11268	121	17	recall	recall	NOUN
fcis-11268	121	18	f1	f1	PROPN
fcis-11268	121	19	rise	rise	NOUN
fcis-11268	121	20	fall	fall	VERB
fcis-11268	121	21	rise	rise	NOUN
fcis-11268	121	22	fall	fall	NOUN
fcis-11268	121	23	rise	rise	NOUN
fcis-11268	121	24	fall	fall	NOUN
fcis-11268	121	25	emd+bilstm	emd+bilstm	NOUN
fcis-11268	121	26	71.91	71.91	NUM
fcis-11268	122	1	70.66	70.66	NUM
fcis-11268	122	2	71.75	71.75	NUM
fcis-11268	122	3	70.14	70.14	NUM
fcis-11268	122	4	69.19	69.19	NUM
fcis-11268	122	5	72.34	72.34	NUM
fcis-11268	122	6	69.20	69.20	NUM
fcis-11268	122	7	bilstm	bilstm	NOUN
fcis-11268	122	8	64.09	64.09	NUM
fcis-11268	122	9	63.52	63.52	NUM
fcis-11268	122	10	63.78	63.78	NUM
fcis-11268	122	11	63.00	63.00	NUM
fcis-11268	122	12	63.99	63.99	NUM
fcis-11268	122	13	64.20	64.20	NUM
fcis-11268	122	14	63.07	63.07	NUM
fcis-11268	122	15	emd+lstm	emd+lstm	PROPN
fcis-11268	122	16	61.36	61.36	NUM
fcis-11268	122	17	60.80	60.80	NUM
fcis-11268	122	18	60.62	60.62	NUM
fcis-11268	122	19	60.34	60.34	NUM
fcis-11268	122	20	61.31	61.31	NUM
fcis-11268	122	21	62.76	62.76	NUM
fcis-11268	122	22	62.86	62.86	NUM
fcis-11268	122	23	lstm	lstm	NOUN
fcis-11268	122	24	59.93	59.93	NUM
fcis-11268	122	25	61.26	61.26	NUM
fcis-11268	122	26	60.51	60.51	NUM
fcis-11268	122	27	57.17	57.17	NUM
fcis-11268	122	28	58.50	58.50	NUM
fcis-11268	122	29	58.31	58.31	NUM
fcis-11268	122	30	60.99	60.99	NUM
fcis-11268	122	31	svm	svm	NOUN
fcis-11268	122	32	57.29	57.29	NUM
fcis-11268	122	33	56.71	56.71	NUM
fcis-11268	122	34	56.68	56.68	NUM
fcis-11268	122	35	57.50	57.50	NUM
fcis-11268	122	36	57.09	57.09	NUM
fcis-11268	122	37	56.23	56.23	NUM
fcis-11268	122	38	56.04	56.04	NUM
fcis-11268	122	39	xgboost	xgboost	NOUN
fcis-11268	122	40	53.18	53.18	NUM
fcis-11268	122	41	55.25	55.25	NUM
fcis-11268	122	42	55.38	55.38	NUM
fcis-11268	122	43	52.89	52.89	NUM
fcis-11268	122	44	50.36	50.36	NUM
fcis-11268	122	45	51.33	51.33	NUM
fcis-11268	122	46	55.39	55.39	NUM
fcis-11268	122	47	in	in	ADP
fcis-11268	122	48	addition	addition	NOUN
fcis-11268	122	49	,	,	PUNCT
fcis-11268	122	50	in	in	ADP
fcis-11268	122	51	order	order	NOUN
fcis-11268	122	52	to	to	PART
fcis-11268	122	53	compare	compare	VERB
fcis-11268	122	54	with	with	ADP
fcis-11268	122	55	more	more	ADJ
fcis-11268	122	56	common	common	ADJ
fcis-11268	122	57	stock	stock	NOUN
fcis-11268	122	58	price	price	NOUN
fcis-11268	122	59	rise	rise	NOUN
fcis-11268	122	60	and	and	CCONJ
fcis-11268	122	61	fall	fall	VERB
fcis-11268	122	62	prediction	prediction	NOUN
fcis-11268	122	63	models	model	NOUN
fcis-11268	122	64	,	,	PUNCT
fcis-11268	122	65	this	this	DET
fcis-11268	122	66	paper	paper	NOUN
fcis-11268	122	67	adds	add	VERB
fcis-11268	122	68	emdlstm	emdlstm	PROPN
fcis-11268	122	69	,	,	PUNCT
fcis-11268	122	70	lstm	lstm	PROPN
fcis-11268	122	71	,	,	PUNCT
fcis-11268	122	72	svm	svm	PROPN
fcis-11268	122	73	,	,	PUNCT
fcis-11268	122	74	xgboost	xgboost	ADJ
fcis-11268	122	75	models	model	NOUN
fcis-11268	122	76	to	to	PART
fcis-11268	122	77	compare	compare	VERB
fcis-11268	122	78	consumer	consumer	NOUN
fcis-11268	122	79	industry	industry	NOUN
fcis-11268	122	80	indices	indice	VERB
fcis-11268	122	81	under	under	ADP
fcis-11268	122	82	the	the	DET
fcis-11268	122	83	condition	condition	NOUN
fcis-11268	122	84	of	of	ADP
fcis-11268	122	85	maintaining	maintain	VERB
fcis-11268	122	86	maximum	maximum	ADJ
fcis-11268	122	87	input	input	NOUN
fcis-11268	122	88	optimization	optimization	NOUN
fcis-11268	122	89	(	(	PUNCT
fcis-11268	122	90	that	that	ADV
fcis-11268	122	91	is	is	ADV
fcis-11268	122	92	,	,	PUNCT
fcis-11268	122	93	all	all	DET
fcis-11268	122	94	model	model	NOUN
fcis-11268	122	95	inputs	input	NOUN
fcis-11268	122	96	include	include	VERB
fcis-11268	122	97	stock	stock	NOUN
fcis-11268	122	98	market	market	NOUN
fcis-11268	122	99	data	data	PROPN
fcis-11268	122	100	,	,	PUNCT
fcis-11268	122	101	emd	emd	PROPN
fcis-11268	122	102	,	,	PUNCT
fcis-11268	122	103	and	and	CCONJ
fcis-11268	122	104	investor	investor	NOUN
fcis-11268	122	105	sentiment	sentiment	NOUN
fcis-11268	122	106	)	)	PUNCT
fcis-11268	122	107	.	.	PUNCT
fcis-11268	123	1	it	it	PRON
fcis-11268	123	2	can	can	AUX
fcis-11268	123	3	be	be	AUX
fcis-11268	123	4	seen	see	VERB
fcis-11268	123	5	from	from	ADP
fcis-11268	123	6	table	table	NOUN
fcis-11268	123	7	4	4	NUM
fcis-11268	123	8	that	that	DET
fcis-11268	123	9	bilstm	bilstm	NOUN
fcis-11268	123	10	can	can	AUX
fcis-11268	123	11	perform	perform	VERB
fcis-11268	123	12	two	two	NUM
fcis-11268	123	13	-	-	PUNCT
fcis-11268	123	14	way	way	NOUN
fcis-11268	123	15	time	time	NOUN
fcis-11268	123	16	series	series	PROPN
fcis-11268	123	17	feature	feature	PROPN
fcis-11268	123	18	learning	learning	NOUN
fcis-11268	123	19	,	,	PUNCT
fcis-11268	123	20	which	which	PRON
fcis-11268	123	21	can	can	AUX
fcis-11268	123	22	better	well	ADV
fcis-11268	123	23	learn	learn	VERB
fcis-11268	123	24	the	the	DET
fcis-11268	123	25	stock	stock	NOUN
fcis-11268	123	26	market	market	NOUN
fcis-11268	123	27	trend	trend	NOUN
fcis-11268	123	28	than	than	ADP
fcis-11268	123	29	lstm	lstm	ADJ
fcis-11268	123	30	,	,	PUNCT
fcis-11268	123	31	and	and	CCONJ
fcis-11268	123	32	emd	emd	PROPN
fcis-11268	123	33	decomposes	decompose	VERB
fcis-11268	123	34	the	the	DET
fcis-11268	123	35	index	index	NOUN
fcis-11268	123	36	,	,	PUNCT
fcis-11268	123	37	making	make	VERB
fcis-11268	123	38	the	the	DET
fcis-11268	123	39	data	datum	NOUN
fcis-11268	123	40	information	information	NOUN
fcis-11268	123	41	presentation	presentation	NOUN
fcis-11268	123	42	easier	easy	ADJ
fcis-11268	123	43	to	to	PART
fcis-11268	123	44	be	be	AUX
fcis-11268	123	45	understood	understand	VERB
fcis-11268	123	46	by	by	ADP
fcis-11268	123	47	the	the	DET
fcis-11268	123	48	model	model	NOUN
fcis-11268	123	49	and	and	CCONJ
fcis-11268	123	50	improving	improve	VERB
fcis-11268	123	51	the	the	DET
fcis-11268	123	52	prediction	prediction	NOUN
fcis-11268	123	53	effect	effect	NOUN
fcis-11268	123	54	.	.	PUNCT
fcis-11268	124	1	the	the	DET
fcis-11268	124	2	emdbilstm	emdbilstm	PROPN
fcis-11268	124	3	model	model	NOUN
fcis-11268	124	4	outperforms	outperform	VERB
fcis-11268	124	5	other	other	ADJ
fcis-11268	124	6	models	model	NOUN
fcis-11268	124	7	in	in	ADP
fcis-11268	124	8	all	all	DET
fcis-11268	124	9	indicators	indicator	NOUN
fcis-11268	124	10	.	.	PUNCT
fcis-11268	125	1	in	in	ADP
fcis-11268	125	2	summary	summary	NOUN
fcis-11268	125	3	,	,	PUNCT
fcis-11268	125	4	it	it	PRON
fcis-11268	125	5	is	be	AUX
fcis-11268	125	6	proved	prove	VERB
fcis-11268	125	7	that	that	SCONJ
fcis-11268	125	8	the	the	DET
fcis-11268	125	9	model	model	NOUN
fcis-11268	125	10	proposed	propose	VERB
fcis-11268	125	11	in	in	ADP
fcis-11268	125	12	this	this	DET
fcis-11268	125	13	paper	paper	NOUN
fcis-11268	125	14	has	have	AUX
fcis-11268	125	15	greatly	greatly	ADV
fcis-11268	125	16	improved	improve	VERB
fcis-11268	125	17	the	the	DET
fcis-11268	125	18	accuracy	accuracy	NOUN
fcis-11268	125	19	of	of	ADP
fcis-11268	125	20	stock	stock	NOUN
fcis-11268	125	21	price	price	NOUN
fcis-11268	125	22	rise	rise	NOUN
fcis-11268	125	23	and	and	CCONJ
fcis-11268	125	24	fall	fall	NOUN
fcis-11268	125	25	prediction	prediction	NOUN
fcis-11268	125	26	.	.	PUNCT
fcis-11268	126	1	5	5	X
fcis-11268	126	2	.	.	X
fcis-11268	126	3	conclusion	conclusion	NOUN
fcis-11268	126	4	aiming	aim	VERB
fcis-11268	126	5	at	at	ADP
fcis-11268	126	6	the	the	DET
fcis-11268	126	7	problem	problem	NOUN
fcis-11268	126	8	of	of	ADP
fcis-11268	126	9	large	large	ADJ
fcis-11268	126	10	prediction	prediction	NOUN
fcis-11268	126	11	error	error	NOUN
fcis-11268	126	12	caused	cause	VERB
fcis-11268	126	13	by	by	ADP
fcis-11268	126	14	nonlinearity	nonlinearity	NOUN
fcis-11268	126	15	,	,	PUNCT
fcis-11268	126	16	non	non	ADJ
fcis-11268	126	17	-	-	NOUN
fcis-11268	126	18	stationarity	stationarity	NOUN
fcis-11268	126	19	and	and	CCONJ
fcis-11268	126	20	chaos	chaos	NOUN
fcis-11268	126	21	of	of	ADP
fcis-11268	126	22	stock	stock	NOUN
fcis-11268	126	23	time	time	NOUN
fcis-11268	126	24	series	series	PROPN
fcis-11268	126	25	,	,	PUNCT
fcis-11268	126	26	this	this	DET
fcis-11268	126	27	paper	paper	NOUN
fcis-11268	126	28	proposes	propose	VERB
fcis-11268	126	29	a	a	DET
fcis-11268	126	30	bilstm	bilstm	NOUN
fcis-11268	126	31	stock	stock	NOUN
fcis-11268	126	32	price	price	NOUN
fcis-11268	126	33	rise	rise	NOUN
fcis-11268	126	34	and	and	CCONJ
fcis-11268	126	35	fall	fall	NOUN
fcis-11268	126	36	model	model	NOUN
fcis-11268	126	37	based	base	VERB
fcis-11268	126	38	on	on	ADP
fcis-11268	126	39	empirical	empirical	ADJ
fcis-11268	126	40	mode	mode	NOUN
fcis-11268	126	41	decomposition	decomposition	NOUN
fcis-11268	126	42	and	and	CCONJ
fcis-11268	126	43	investor	investor	NOUN
fcis-11268	126	44	sentiment	sentiment	NOUN
fcis-11268	126	45	.	.	PUNCT
fcis-11268	127	1	this	this	DET
fcis-11268	127	2	paper	paper	NOUN
fcis-11268	127	3	uses	use	VERB
fcis-11268	127	4	emd	emd	PROPN
fcis-11268	127	5	to	to	PART
fcis-11268	127	6	decompose	decompose	VERB
fcis-11268	127	7	the	the	DET
fcis-11268	127	8	closing	closing	NOUN
fcis-11268	127	9	price	price	NOUN
fcis-11268	127	10	to	to	PART
fcis-11268	127	11	obtain	obtain	VERB
fcis-11268	127	12	the	the	DET
fcis-11268	127	13	new	new	ADJ
fcis-11268	127	14	characteristics	characteristic	NOUN
fcis-11268	127	15	and	and	CCONJ
fcis-11268	127	16	trend	trend	NOUN
fcis-11268	127	17	terms	term	NOUN
fcis-11268	127	18	of	of	ADP
fcis-11268	127	19	the	the	DET
fcis-11268	127	20	closing	closing	NOUN
fcis-11268	127	21	price	price	NOUN
fcis-11268	127	22	on	on	ADP
fcis-11268	127	23	different	different	ADJ
fcis-11268	127	24	time	time	NOUN
fcis-11268	127	25	scales	scale	NOUN
fcis-11268	127	26	,	,	PUNCT
fcis-11268	127	27	thereby	thereby	ADV
fcis-11268	127	28	obtaining	obtain	VERB
fcis-11268	127	29	the	the	DET
fcis-11268	127	30	new	new	ADJ
fcis-11268	127	31	features	feature	NOUN
fcis-11268	127	32	.	.	PUNCT
fcis-11268	128	1	on	on	ADP
fcis-11268	128	2	the	the	DET
fcis-11268	128	3	basis	basis	NOUN
fcis-11268	128	4	of	of	ADP
fcis-11268	128	5	the	the	DET
fcis-11268	128	6	initial	initial	ADJ
fcis-11268	128	7	basic	basic	ADJ
fcis-11268	128	8	emotional	emotional	ADJ
fcis-11268	128	9	dictionary	dictionary	NOUN
fcis-11268	128	10	,	,	PUNCT
fcis-11268	128	11	the	the	DET
fcis-11268	128	12	formal	formal	ADJ
fcis-11268	128	13	vocabulary	vocabulary	NOUN
fcis-11268	128	14	and	and	CCONJ
fcis-11268	128	15	informal	informal	ADJ
fcis-11268	128	16	network	network	NOUN
fcis-11268	128	17	vocabulary	vocabulary	NOUN
fcis-11268	128	18	in	in	ADP
fcis-11268	128	19	the	the	DET
fcis-11268	128	20	financial	financial	ADJ
fcis-11268	128	21	field	field	NOUN
fcis-11268	128	22	are	be	AUX
fcis-11268	128	23	expanded	expand	VERB
fcis-11268	128	24	,	,	PUNCT
fcis-11268	128	25	and	and	CCONJ
fcis-11268	128	26	the	the	DET
fcis-11268	128	27	auxiliary	auxiliary	ADJ
fcis-11268	128	28	weight	weight	NOUN
fcis-11268	128	29	emotional	emotional	ADJ
fcis-11268	128	30	dictionary	dictionary	NOUN
fcis-11268	128	31	is	be	AUX
fcis-11268	128	32	constructed	construct	VERB
fcis-11268	128	33	to	to	PART
fcis-11268	128	34	optimize	optimize	VERB
fcis-11268	128	35	the	the	DET
fcis-11268	128	36	weight	weight	NOUN
fcis-11268	128	37	of	of	ADP
fcis-11268	128	38	the	the	DET
fcis-11268	128	39	basic	basic	ADJ
fcis-11268	128	40	weight	weight	NOUN
fcis-11268	128	41	of	of	ADP
fcis-11268	128	42	the	the	DET
fcis-11268	128	43	expanded	expand	VERB
fcis-11268	128	44	basic	basic	ADJ
fcis-11268	128	45	emotional	emotional	ADJ
fcis-11268	128	46	dictionary	dictionary	NOUN
fcis-11268	128	47	,	,	PUNCT
fcis-11268	128	48	and	and	CCONJ
fcis-11268	128	49	the	the	DET
fcis-11268	128	50	emotional	emotional	ADJ
fcis-11268	128	51	score	score	NOUN
fcis-11268	128	52	corresponding	correspond	VERB
fcis-11268	128	53	to	to	ADP
fcis-11268	128	54	the	the	DET
fcis-11268	128	55	text	text	NOUN
fcis-11268	128	56	is	be	AUX
fcis-11268	128	57	calculated	calculate	VERB
fcis-11268	128	58	.	.	PUNCT
fcis-11268	129	1	these	these	DET
fcis-11268	129	2	new	new	ADJ
fcis-11268	129	3	features	feature	NOUN
fcis-11268	129	4	are	be	AUX
fcis-11268	129	5	added	add	VERB
fcis-11268	129	6	to	to	PART
fcis-11268	129	7	bilstm	bilstm	VERB
fcis-11268	129	8	for	for	ADP
fcis-11268	129	9	bidirectional	bidirectional	ADJ
fcis-11268	129	10	time	time	NOUN
fcis-11268	129	11	series	series	PROPN
fcis-11268	129	12	feature	feature	PROPN
fcis-11268	129	13	learning	learn	VERB
fcis-11268	129	14	.	.	PUNCT
fcis-11268	130	1	through	through	ADP
fcis-11268	130	2	experimental	experimental	ADJ
fcis-11268	130	3	comparison	comparison	NOUN
fcis-11268	130	4	,	,	PUNCT
fcis-11268	130	5	it	it	PRON
fcis-11268	130	6	can	can	AUX
fcis-11268	130	7	be	be	AUX
fcis-11268	130	8	seen	see	VERB
fcis-11268	130	9	that	that	SCONJ
fcis-11268	130	10	the	the	DET
fcis-11268	130	11	prediction	prediction	NOUN
fcis-11268	130	12	model	model	NOUN
fcis-11268	130	13	can	can	AUX
fcis-11268	130	14	better	well	ADV
fcis-11268	130	15	predict	predict	VERB
fcis-11268	130	16	the	the	DET
fcis-11268	130	17	stock	stock	NOUN
fcis-11268	130	18	market	market	NOUN
fcis-11268	130	19	trend	trend	NOUN
fcis-11268	130	20	through	through	ADP
fcis-11268	130	21	emd	emd	PROPN
fcis-11268	130	22	and	and	CCONJ
fcis-11268	130	23	investor	investor	NOUN
fcis-11268	130	24	sentiment	sentiment	NOUN
fcis-11268	130	25	,	,	PUNCT
fcis-11268	130	26	which	which	PRON
fcis-11268	130	27	has	have	VERB
fcis-11268	130	28	a	a	DET
fcis-11268	130	29	certain	certain	ADJ
fcis-11268	130	30	guiding	guide	VERB
fcis-11268	130	31	effect	effect	NOUN
fcis-11268	130	32	on	on	ADP
fcis-11268	130	33	investors	investor	NOUN
fcis-11268	130	34	.	.	PUNCT
fcis-11268	131	1	at	at	ADP
fcis-11268	131	2	present	present	ADJ
fcis-11268	131	3	,	,	PUNCT
fcis-11268	131	4	most	most	ADJ
fcis-11268	131	5	stock	stock	NOUN
fcis-11268	131	6	forecasting	forecasting	NOUN
fcis-11268	131	7	research	research	NOUN
fcis-11268	131	8	only	only	ADV
fcis-11268	131	9	uses	use	VERB
fcis-11268	131	10	the	the	DET
fcis-11268	131	11	basic	basic	ADJ
fcis-11268	131	12	indicators	indicator	NOUN
fcis-11268	131	13	of	of	ADP
fcis-11268	131	14	the	the	DET
fcis-11268	131	15	stock	stock	NOUN
fcis-11268	131	16	market	market	NOUN
fcis-11268	131	17	,	,	PUNCT
fcis-11268	131	18	and	and	CCONJ
fcis-11268	131	19	ignores	ignore	VERB
fcis-11268	131	20	the	the	DET
fcis-11268	131	21	impact	impact	NOUN
fcis-11268	131	22	of	of	ADP
fcis-11268	131	23	investors	investor	NOUN
fcis-11268	131	24	'	'	PART
fcis-11268	131	25	investment	investment	NOUN
fcis-11268	131	26	decisions	decision	NOUN
fcis-11268	131	27	and	and	CCONJ
fcis-11268	131	28	behaviors	behavior	NOUN
fcis-11268	131	29	on	on	ADP
fcis-11268	131	30	the	the	DET
fcis-11268	131	31	stock	stock	NOUN
fcis-11268	131	32	market	market	NOUN
fcis-11268	131	33	,	,	PUNCT
fcis-11268	131	34	so	so	CCONJ
fcis-11268	131	35	the	the	DET
fcis-11268	131	36	prediction	prediction	NOUN
fcis-11268	131	37	effect	effect	NOUN
fcis-11268	131	38	is	be	AUX
fcis-11268	131	39	average	average	ADJ
fcis-11268	131	40	.	.	PUNCT
fcis-11268	132	1	the	the	DET
fcis-11268	132	2	model	model	NOUN
fcis-11268	132	3	proposed	propose	VERB
fcis-11268	132	4	in	in	ADP
fcis-11268	132	5	this	this	DET
fcis-11268	132	6	paper	paper	NOUN
fcis-11268	132	7	extracts	extract	NOUN
fcis-11268	132	8	in	in	ADP
fcis-11268	132	9	-	-	PUNCT
fcis-11268	132	10	depth	depth	NOUN
fcis-11268	132	11	information	information	NOUN
fcis-11268	132	12	from	from	ADP
fcis-11268	132	13	the	the	DET
fcis-11268	132	14	basic	basic	ADJ
fcis-11268	132	15	market	market	NOUN
fcis-11268	132	16	indicators	indicator	NOUN
fcis-11268	132	17	of	of	ADP
fcis-11268	132	18	the	the	DET
fcis-11268	132	19	stock	stock	NOUN
fcis-11268	132	20	market	market	NOUN
fcis-11268	132	21	,	,	PUNCT
fcis-11268	132	22	conducts	conduct	NOUN
fcis-11268	132	23	in	in	ADP
fcis-11268	132	24	-	-	PUNCT
fcis-11268	132	25	depth	depth	NOUN
fcis-11268	132	26	analysis	analysis	NOUN
fcis-11268	132	27	of	of	ADP
fcis-11268	132	28	investor	investor	NOUN
fcis-11268	132	29	sentiment	sentiment	NOUN
fcis-11268	132	30	that	that	PRON
fcis-11268	132	31	may	may	AUX
fcis-11268	132	32	change	change	VERB
fcis-11268	132	33	investors	investor	NOUN
fcis-11268	132	34	'	'	PART
fcis-11268	132	35	investment	investment	NOUN
fcis-11268	132	36	decisions	decision	NOUN
fcis-11268	132	37	,	,	PUNCT
fcis-11268	132	38	performs	perform	VERB
fcis-11268	132	39	twoway	twoway	NOUN
fcis-11268	132	40	learning	learn	VERB
fcis-11268	132	41	on	on	ADP
fcis-11268	132	42	time	time	NOUN
fcis-11268	132	43	series	series	PROPN
fcis-11268	132	44	characteristics	characteristic	NOUN
fcis-11268	132	45	,	,	PUNCT
fcis-11268	132	46	and	and	CCONJ
fcis-11268	132	47	selectively	selectively	ADV
fcis-11268	132	48	pays	pay	VERB
fcis-11268	132	49	attention	attention	NOUN
fcis-11268	132	50	to	to	ADP
fcis-11268	132	51	the	the	DET
fcis-11268	132	52	influence	influence	NOUN
fcis-11268	132	53	of	of	ADP
fcis-11268	132	54	different	different	ADJ
fcis-11268	132	55	components	component	NOUN
fcis-11268	132	56	on	on	ADP
fcis-11268	132	57	the	the	DET
fcis-11268	132	58	prediction	prediction	NOUN
fcis-11268	132	59	results	result	NOUN
fcis-11268	132	60	,	,	PUNCT
fcis-11268	132	61	so	so	SCONJ
fcis-11268	132	62	that	that	SCONJ
fcis-11268	132	63	the	the	DET
fcis-11268	132	64	model	model	NOUN
fcis-11268	132	65	prediction	prediction	NOUN
fcis-11268	132	66	has	have	VERB
fcis-11268	132	67	better	well	ADJ
fcis-11268	132	68	effects	effect	NOUN
fcis-11268	132	69	.	.	PUNCT
fcis-11268	133	1	in	in	ADP
fcis-11268	133	2	future	future	ADJ
fcis-11268	133	3	work	work	NOUN
fcis-11268	133	4	,	,	PUNCT
fcis-11268	133	5	more	more	ADJ
fcis-11268	133	6	factors	factor	NOUN
fcis-11268	133	7	can	can	AUX
fcis-11268	133	8	be	be	AUX
fcis-11268	133	9	added	add	VERB
fcis-11268	133	10	,	,	PUNCT
fcis-11268	133	11	such	such	ADJ
fcis-11268	133	12	as	as	ADP
fcis-11268	133	13	stock	stock	NOUN
fcis-11268	133	14	market	market	NOUN
fcis-11268	133	15	announcements	announcement	NOUN
fcis-11268	133	16	,	,	PUNCT
fcis-11268	133	17	policies	policy	NOUN
fcis-11268	133	18	,	,	PUNCT
fcis-11268	133	19	and	and	CCONJ
fcis-11268	133	20	other	other	ADJ
fcis-11268	133	21	technical	technical	ADJ
fcis-11268	133	22	indicators	indicator	NOUN
fcis-11268	133	23	,	,	PUNCT
fcis-11268	133	24	to	to	PART
fcis-11268	133	25	further	far	ADV
fcis-11268	133	26	improve	improve	VERB
fcis-11268	133	27	the	the	DET
fcis-11268	133	28	accuracy	accuracy	NOUN
fcis-11268	133	29	of	of	ADP
fcis-11268	133	30	model	model	NOUN
fcis-11268	133	31	prediction	prediction	NOUN
fcis-11268	133	32	.	.	PUNCT
fcis-11268	134	1	references	reference	NOUN
fcis-11268	134	2	[	[	X
fcis-11268	134	3	1	1	NUM
fcis-11268	134	4	]	]	X
fcis-11268	134	5	zhang	zhang	PROPN
fcis-11268	134	6	x	x	PROPN
fcis-11268	134	7	,	,	PUNCT
fcis-11268	134	8	zhang	zhang	PROPN
fcis-11268	134	9	y	y	PROPN
fcis-11268	134	10	j	j	PROPN
fcis-11268	134	11	,	,	PUNCT
fcis-11268	134	12	wang	wang	PROPN
fcis-11268	134	13	s	s	PROPN
fcis-11268	134	14	z	z	PROPN
fcis-11268	134	15	,	,	PUNCT
fcis-11268	134	16	et	et	PROPN
fcis-11268	134	17	al	al	PROPN
fcis-11268	134	18	.	.	PUNCT
fcis-11268	134	19	improving	improve	VERB
fcis-11268	134	20	stock	stock	NOUN
fcis-11268	134	21	market	market	NOUN
fcis-11268	134	22	prediction	prediction	NOUN
fcis-11268	134	23	via	via	ADP
fcis-11268	134	24	heterogeneous	heterogeneous	ADJ
fcis-11268	134	25	information	information	NOUN
fcis-11268	134	26	fusion[j	fusion[j	PROPN
fcis-11268	134	27	]	]	PUNCT
fcis-11268	134	28	.	.	PUNCT
fcis-11268	135	1	knowledge	knowledge	NOUN
fcis-11268	135	2	-	-	PUNCT
fcis-11268	135	3	based	base	VERB
fcis-11268	135	4	systems,2018,143:236	systems,2018,143:236	PROPN
fcis-11268	135	5	-	-	NOUN
fcis-11268	135	6	247	247	NUM
fcis-11268	135	7	.	.	PUNCT
fcis-11268	136	1	[	[	X
fcis-11268	136	2	2	2	NUM
fcis-11268	136	3	]	]	X
fcis-11268	136	4	zhang	zhang	PROPN
fcis-11268	136	5	xiao	xiao	PROPN
fcis-11268	136	6	,	,	PUNCT
fcis-11268	136	7	wei	wei	PROPN
fcis-11268	136	8	zengxin	zengxin	PROPN
fcis-11268	136	9	,	,	PUNCT
fcis-11268	136	10	yang	yang	PROPN
fcis-11268	136	11	tianshan	tianshan	PROPN
fcis-11268	136	12	.	.	PUNCT
fcis-11268	137	1	application	application	NOUN
fcis-11268	137	2	of	of	ADP
fcis-11268	137	3	gbdt	gbdt	NOUN
fcis-11268	137	4	combinatorial	combinatorial	ADJ
fcis-11268	137	5	model	model	NOUN
fcis-11268	137	6	in	in	ADP
fcis-11268	137	7	stock	stock	NOUN
fcis-11268	137	8	prediction[j	prediction[j	PROPN
fcis-11268	137	9	]	]	PUNCT
fcis-11268	137	10	.	.	PUNCT
fcis-11268	138	1	journal	journal	PROPN
fcis-11268	138	2	of	of	ADP
fcis-11268	138	3	hainan	hainan	PROPN
fcis-11268	138	4	normal	normal	ADJ
fcis-11268	138	5	university(natural	university(natural	ADJ
fcis-11268	138	6	science	science	NOUN
fcis-11268	138	7	edition	edition	NOUN
fcis-11268	138	8	)	)	PUNCT
fcis-11268	138	9	,	,	PUNCT
fcis-11268	138	10	2018	2018	NUM
fcis-11268	138	11	,	,	PUNCT
fcis-11268	138	12	31(1):73	31(1):73	NUM
fcis-11268	138	13	-	-	SYM
fcis-11268	138	14	80	80	NUM
fcis-11268	138	15	.	.	PUNCT
fcis-11268	139	1	[	[	X
fcis-11268	139	2	3	3	X
fcis-11268	139	3	]	]	X
fcis-11268	139	4	wang	wang	PROPN
fcis-11268	139	5	s	s	PROPN
fcis-11268	139	6	,	,	PUNCT
fcis-11268	139	7	wang	wang	PROPN
fcis-11268	139	8	x	x	PROPN
fcis-11268	139	9	,	,	PUNCT
fcis-11268	139	10	wang	wang	PROPN
fcis-11268	139	11	s	s	PROPN
fcis-11268	139	12	,	,	PUNCT
fcis-11268	139	13	et	et	PROPN
fcis-11268	139	14	al	al	PROPN
fcis-11268	139	15	.	.	PUNCT
fcis-11268	140	1	bi	bi	ADJ
fcis-11268	140	2	-	-	ADJ
fcis-11268	140	3	directional	directional	ADJ
fcis-11268	140	4	long	long	ADJ
fcis-11268	140	5	short	short	ADJ
fcis-11268	140	6	term	term	NOUN
fcis-11268	140	7	memory	memory	NOUN
fcis-11268	140	8	method	method	NOUN
fcis-11268	140	9	based	base	VERB
fcis-11268	140	10	on	on	ADP
fcis-11268	140	11	attention	attention	NOUN
fcis-11268	140	12	mechanism	mechanism	NOUN
fcis-11268	140	13	and	and	CCONJ
fcis-11268	140	14	rolling	rolling	ADJ
fcis-11268	140	15	update	update	NOUN
fcis-11268	140	16	for	for	ADP
fcis-11268	140	17	short	short	ADJ
fcis-11268	140	18	-	-	PUNCT
fcis-11268	140	19	term	term	NOUN
fcis-11268	140	20	load	load	NOUN
fcis-11268	140	21	forecasting	forecasting	NOUN
fcis-11268	141	1	[	[	X
fcis-11268	141	2	j	j	X
fcis-11268	141	3	]	]	X
fcis-11268	141	4	.	.	PUNCT
fcis-11268	142	1	international	international	ADJ
fcis-11268	142	2	journal	journal	PROPN
fcis-11268	142	3	of	of	ADP
fcis-11268	142	4	electrical	electrical	ADJ
fcis-11268	142	5	power	power	NOUN
fcis-11268	142	6	and	and	CCONJ
fcis-11268	142	7	energy	energy	NOUN
fcis-11268	142	8	systems	system	NOUN
fcis-11268	142	9	,	,	PUNCT
fcis-11268	142	10	2019	2019	NUM
fcis-11268	142	11	,	,	PUNCT
fcis-11268	142	12	109	109	NUM
fcis-11268	142	13	:	:	SYM
fcis-11268	142	14	470	470	NUM
fcis-11268	142	15	-	-	SYM
fcis-11268	142	16	479	479	NUM
fcis-11268	142	17	.	.	PUNCT
fcis-11268	143	1	[	[	X
fcis-11268	143	2	4	4	X
fcis-11268	143	3	]	]	X
fcis-11268	143	4	kexin	kexin	PROPN
fcis-11268	143	5	h	h	PROPN
fcis-11268	143	6	,	,	PUNCT
fcis-11268	143	7	zhijin	zhijin	PROPN
fcis-11268	143	8	z.	z.	PROPN
fcis-11268	143	9	prediction	prediction	NOUN
fcis-11268	143	10	stock	stock	NOUN
fcis-11268	143	11	price	price	NOUN
fcis-11268	143	12	based	base	VERB
fcis-11268	143	13	on	on	ADP
fcis-11268	143	14	cnn	cnn	PROPN
fcis-11268	143	15	and	and	CCONJ
fcis-11268	143	16	lstm	lstm	NOUN
fcis-11268	143	17	models	model	NOUN
fcis-11268	143	18	[	[	X
fcis-11268	143	19	j	j	X
fcis-11268	143	20	]	]	X
fcis-11268	143	21	.	.	PUNCT
fcis-11268	144	1	financial	financial	ADJ
fcis-11268	144	2	engineering	engineering	NOUN
fcis-11268	144	3	and	and	CCONJ
fcis-11268	144	4	risk	risk	NOUN
fcis-11268	144	5	management	management	NOUN
fcis-11268	144	6	,	,	PUNCT
fcis-11268	144	7	2022,5(7	2022,5(7	NUM
fcis-11268	144	8	)	)	PUNCT
fcis-11268	144	9	.	.	PUNCT
fcis-11268	145	1	[	[	X
fcis-11268	145	2	5	5	X
fcis-11268	145	3	]	]	X
fcis-11268	145	4	hochreiter	hochreiter	PROPN
fcis-11268	145	5	s.	s.	PROPN
fcis-11268	145	6	untersuchungen	untersuchungen	PROPN
fcis-11268	145	7	zu	zu	PROPN
fcis-11268	145	8	dynamischen	dynamischen	NOUN
fcis-11268	145	9	neuronalen	neuronalen	VERB
fcis-11268	145	10	netzen	netzen	NOUN
fcis-11268	146	1	[	[	X
fcis-11268	146	2	d	d	X
fcis-11268	146	3	]	]	X
fcis-11268	146	4	.	.	PUNCT
fcis-11268	147	1	munich	munich	PROPN
fcis-11268	147	2	:	:	PUNCT
fcis-11268	147	3	technische	technische	PROPN
fcis-11268	147	4	universitat	universitat	PROPN
fcis-11268	147	5	munchen	munchen	PROPN
fcis-11268	147	6	,	,	PUNCT
fcis-11268	147	7	1991:91	1991:91	NUM
fcis-11268	147	8	.	.	PUNCT
fcis-11268	148	1	[	[	X
fcis-11268	148	2	6	6	NUM
fcis-11268	148	3	]	]	X
fcis-11268	148	4	chen	chen	PROPN
fcis-11268	148	5	k	k	PROPN
fcis-11268	148	6	,	,	PUNCT
fcis-11268	148	7	zhou	zhou	PROPN
fcis-11268	148	8	y	y	PROPN
fcis-11268	148	9	,	,	PUNCT
fcis-11268	148	10	dai	dai	PROPN
fcis-11268	148	11	f.	f.	PROPN
fcis-11268	148	12	a	a	DET
fcis-11268	148	13	lstm	lstm	NOUN
fcis-11268	148	14	-	-	PUNCT
fcis-11268	148	15	based	base	VERB
fcis-11268	148	16	method	method	NOUN
fcis-11268	148	17	for	for	ADP
fcis-11268	148	18	stock	stock	NOUN
fcis-11268	148	19	returns	return	NOUN
fcis-11268	148	20	prediction	prediction	NOUN
fcis-11268	148	21	:	:	PUNCT
fcis-11268	148	22	a	a	DET
fcis-11268	148	23	case	case	NOUN
fcis-11268	148	24	study	study	NOUN
fcis-11268	148	25	of	of	ADP
fcis-11268	148	26	china	china	PROPN
fcis-11268	148	27	stock	stock	PROPN
fcis-11268	148	28	market[c]//	market[c]//	PROPN
fcis-11268	148	29	proceedings	proceeding	NOUN
fcis-11268	148	30	of	of	ADP
fcis-11268	148	31	the	the	DET
fcis-11268	148	32	2015	2015	NUM
fcis-11268	148	33	ieee	ieee	NOUN
fcis-11268	148	34	international	international	ADJ
fcis-11268	148	35	conference	conference	NOUN
fcis-11268	148	36	on	on	ADP
fcis-11268	148	37	big	big	ADJ
fcis-11268	148	38	data	datum	NOUN
fcis-11268	148	39	.	.	PUNCT
fcis-11268	149	1	piscataway	piscataway	PROPN
fcis-11268	149	2	:	:	PUNCT
fcis-11268	149	3	ieee	ieee	NOUN
fcis-11268	149	4	,	,	PUNCT
fcis-11268	149	5	2015	2015	NUM
fcis-11268	149	6	:	:	PUNCT
fcis-11268	149	7	2823	2823	NUM
fcis-11268	149	8	-	-	SYM
fcis-11268	149	9	2824	2824	NUM
fcis-11268	149	10	.	.	PUNCT
fcis-11268	150	1	[	[	X
fcis-11268	150	2	7	7	X
fcis-11268	150	3	]	]	X
fcis-11268	150	4	yang	yang	PROPN
fcis-11268	150	5	m	m	PROPN
fcis-11268	150	6	,	,	PUNCT
fcis-11268	150	7	wang	wang	PROPN
fcis-11268	150	8	j.	j.	PROPN
fcis-11268	150	9	adaptability	adaptability	PROPN
fcis-11268	150	10	of	of	ADP
fcis-11268	150	11	financial	financial	ADJ
fcis-11268	150	12	time	time	NOUN
fcis-11268	150	13	series	series	PROPN
fcis-11268	150	14	prediction	prediction	NOUN
fcis-11268	150	15	based	base	VERB
fcis-11268	150	16	on	on	ADP
fcis-11268	150	17	bilstm	bilstm	NOUN
fcis-11268	150	18	[	[	X
fcis-11268	150	19	j].procedia	j].procedia	NOUN
fcis-11268	150	20	computer	computer	NOUN
fcis-11268	150	21	science	science	NOUN
fcis-11268	150	22	,	,	PUNCT
fcis-11268	150	23	2022,199	2022,199	NUM
fcis-11268	150	24	:	:	PUNCT
fcis-11268	150	25	18	18	NUM
fcis-11268	150	26	-	-	SYM
fcis-11268	150	27	25	25	NUM
fcis-11268	150	28	.	.	PUNCT
fcis-11268	151	1	[	[	X
fcis-11268	151	2	8	8	X
fcis-11268	151	3	]	]	X
fcis-11268	151	4	weng	weng	PROPN
fcis-11268	151	5	xiaojian	xiaojian	PROPN
fcis-11268	151	6	,	,	PUNCT
fcis-11268	151	7	lin	lin	PROPN
fcis-11268	151	8	xudong	xudong	PROPN
fcis-11268	151	9	,	,	PUNCT
fcis-11268	151	10	zhao	zhao	PROPN
fcis-11268	151	11	shuaibin	shuaibin	NOUN
fcis-11268	151	12	.	.	PUNCT
fcis-11268	152	1	long	long	ADJ
fcis-11268	152	2	-	-	PUNCT
fcis-11268	152	3	term	term	NOUN
fcis-11268	152	4	short	short	ADJ
fcis-11268	152	5	-	-	PUNCT
fcis-11268	152	6	term	term	NOUN
fcis-11268	152	7	memory	memory	NOUN
fcis-11268	152	8	network	network	NOUN
fcis-11268	152	9	stock	stock	NOUN
fcis-11268	152	10	price	price	NOUN
fcis-11268	152	11	rise	rise	NOUN
fcis-11268	152	12	and	and	CCONJ
fcis-11268	152	13	fall	fall	VERB
fcis-11268	152	14	prediction	prediction	NOUN
fcis-11268	152	15	model	model	NOUN
fcis-11268	152	16	based	base	VERB
fcis-11268	152	17	on	on	ADP
fcis-11268	152	18	empirical	empirical	ADJ
fcis-11268	152	19	mode	mode	NOUN
fcis-11268	152	20	decomposition	decomposition	NOUN
fcis-11268	152	21	and	and	CCONJ
fcis-11268	152	22	investor	investor	NOUN
fcis-11268	152	23	sentiment	sentiment	NOUN
fcis-11268	153	1	[	[	X
fcis-11268	153	2	j	j	X
fcis-11268	153	3	]	]	X
fcis-11268	153	4	.	.	PUNCT
fcis-11268	154	1	computer	computer	NOUN
fcis-11268	154	2	applications,2022	applications,2022	NOUN
fcis-11268	154	3	,	,	PUNCT
fcis-11268	154	4	42	42	NUM
fcis-11268	154	5	(	(	PUNCT
fcis-11268	154	6	s2	s2	PROPN
fcis-11268	154	7	):	):	PUNCT
fcis-11268	154	8	296	296	NUM
fcis-11268	154	9	-	-	SYM
fcis-11268	154	10	301	301	NUM
fcis-11268	154	11	.	.	PUNCT