id	sid	tid	token	lemma	pos
fcis-27147	1	1	frontiers	frontier	NOUN
fcis-27147	1	2	in	in	ADP
fcis-27147	1	3	computing	computing	NOUN
fcis-27147	1	4	and	and	CCONJ
fcis-27147	1	5	intelligent	intelligent	ADJ
fcis-27147	1	6	systems	system	NOUN
fcis-27147	1	7	issn	issn	VERB
fcis-27147	1	8	:	:	PUNCT
fcis-27147	1	9	2832	2832	NUM
fcis-27147	1	10	-	-	SYM
fcis-27147	1	11	6024	6024	NUM
fcis-27147	1	12	|	|	NOUN
fcis-27147	1	13	vol	vol	NOUN
fcis-27147	1	14	.	.	PROPN
fcis-27147	2	1	10	10	NUM
fcis-27147	2	2	,	,	PUNCT
fcis-27147	2	3	no	no	INTJ
fcis-27147	2	4	.	.	NOUN
fcis-27147	2	5	2	2	NUM
fcis-27147	2	6	,	,	PUNCT
fcis-27147	2	7	2024	2024	NUM
fcis-27147	2	8	25	25	NUM
fcis-27147	2	9	research	research	NOUN
fcis-27147	2	10	on	on	ADP
fcis-27147	2	11	predicting	predict	VERB
fcis-27147	2	12	stock	stock	NOUN
fcis-27147	2	13	market	market	NOUN
fcis-27147	2	14	profitability	profitability	NOUN
fcis-27147	2	15	changes	change	NOUN
fcis-27147	2	16	based	base	VERB
fcis-27147	2	17	on	on	ADP
fcis-27147	2	18	machine	machine	NOUN
fcis-27147	2	19	learning	learn	VERB
fcis-27147	2	20	gaofeng	gaofeng	PROPN
fcis-27147	2	21	xu	xu	PROPN
fcis-27147	2	22	1	1	NUM
fcis-27147	2	23	,	,	PUNCT
fcis-27147	2	24	xinchen	xinchen	PROPN
fcis-27147	2	25	lu	lu	PROPN
fcis-27147	2	26	2	2	NUM
fcis-27147	2	27	1	1	NUM
fcis-27147	2	28	shanghai	shanghai	PROPN
fcis-27147	2	29	urban	urban	PROPN
fcis-27147	2	30	construction	construction	PROPN
fcis-27147	2	31	vocational	vocational	PROPN
fcis-27147	2	32	college	college	PROPN
fcis-27147	2	33	,	,	PUNCT
fcis-27147	2	34	shanghai	shanghai	PROPN
fcis-27147	2	35	,	,	PUNCT
fcis-27147	2	36	china	china	PROPN
fcis-27147	2	37	2	2	NUM
fcis-27147	2	38	shanghai	shanghai	PROPN
fcis-27147	2	39	shangde	shangde	PROPN
fcis-27147	2	40	experimental	experimental	ADJ
fcis-27147	2	41	school	school	PROPN
fcis-27147	2	42	,	,	PUNCT
fcis-27147	2	43	shanghai	shanghai	PROPN
fcis-27147	2	44	,	,	PUNCT
fcis-27147	2	45	200120	200120	NUM
fcis-27147	2	46	,	,	PUNCT
fcis-27147	2	47	china	china	PROPN
fcis-27147	2	48	abstract	abstract	NOUN
fcis-27147	2	49	:	:	PUNCT
fcis-27147	2	50	the	the	DET
fcis-27147	2	51	expansion	expansion	NOUN
fcis-27147	2	52	of	of	ADP
fcis-27147	2	53	the	the	DET
fcis-27147	2	54	market	market	NOUN
fcis-27147	2	55	in	in	ADP
fcis-27147	2	56	our	our	PRON
fcis-27147	2	57	country	country	NOUN
fcis-27147	2	58	has	have	AUX
fcis-27147	2	59	led	lead	VERB
fcis-27147	2	60	to	to	ADP
fcis-27147	2	61	rapid	rapid	ADJ
fcis-27147	2	62	economic	economic	ADJ
fcis-27147	2	63	growth	growth	NOUN
fcis-27147	2	64	,	,	PUNCT
fcis-27147	2	65	and	and	CCONJ
fcis-27147	2	66	many	many	ADJ
fcis-27147	2	67	companies	company	NOUN
fcis-27147	2	68	have	have	AUX
fcis-27147	2	69	begun	begin	VERB
fcis-27147	2	70	to	to	PART
fcis-27147	2	71	seek	seek	VERB
fcis-27147	2	72	foreign	foreign	ADJ
fcis-27147	2	73	investment	investment	NOUN
fcis-27147	2	74	for	for	ADP
fcis-27147	2	75	themselves	themselves	PRON
fcis-27147	2	76	.	.	PUNCT
fcis-27147	3	1	what	what	PRON
fcis-27147	3	2	investors	investor	NOUN
fcis-27147	3	3	are	be	AUX
fcis-27147	3	4	given	give	VERB
fcis-27147	3	5	is	be	AUX
fcis-27147	3	6	an	an	DET
fcis-27147	3	7	invisible	invisible	ADJ
fcis-27147	3	8	but	but	CCONJ
fcis-27147	3	9	very	very	ADV
fcis-27147	3	10	useful	useful	ADJ
fcis-27147	3	11	thing	thing	NOUN
fcis-27147	3	12	stocks	stock	NOUN
fcis-27147	3	13	.	.	PUNCT
fcis-27147	4	1	however	however	ADV
fcis-27147	4	2	,	,	PUNCT
fcis-27147	4	3	stocks	stock	NOUN
fcis-27147	4	4	are	be	AUX
fcis-27147	4	5	unpredictable	unpredictable	ADJ
fcis-27147	4	6	and	and	CCONJ
fcis-27147	4	7	subject	subject	ADJ
fcis-27147	4	8	to	to	ADP
fcis-27147	4	9	many	many	ADJ
fcis-27147	4	10	influences	influence	NOUN
fcis-27147	4	11	,	,	PUNCT
fcis-27147	4	12	making	make	VERB
fcis-27147	4	13	it	it	PRON
fcis-27147	4	14	difficult	difficult	ADJ
fcis-27147	4	15	for	for	SCONJ
fcis-27147	4	16	investors	investor	NOUN
fcis-27147	4	17	to	to	PART
fcis-27147	4	18	predict	predict	VERB
fcis-27147	4	19	whether	whether	SCONJ
fcis-27147	4	20	the	the	DET
fcis-27147	4	21	stock	stock	NOUN
fcis-27147	4	22	trend	trend	NOUN
fcis-27147	4	23	will	will	AUX
fcis-27147	4	24	decline	decline	VERB
fcis-27147	4	25	or	or	CCONJ
fcis-27147	4	26	rise	rise	VERB
fcis-27147	4	27	.	.	PUNCT
fcis-27147	5	1	it	it	PRON
fcis-27147	5	2	is	be	AUX
fcis-27147	5	3	uncertain	uncertain	ADJ
fcis-27147	5	4	whether	whether	SCONJ
fcis-27147	5	5	investors	investor	NOUN
fcis-27147	5	6	will	will	AUX
fcis-27147	5	7	make	make	VERB
fcis-27147	5	8	a	a	DET
fcis-27147	5	9	profit	profit	NOUN
fcis-27147	5	10	or	or	CCONJ
fcis-27147	5	11	lose	lose	VERB
fcis-27147	5	12	money	money	NOUN
fcis-27147	5	13	.	.	PUNCT
fcis-27147	6	1	the	the	DET
fcis-27147	6	2	development	development	NOUN
fcis-27147	6	3	of	of	ADP
fcis-27147	6	4	artificial	artificial	ADJ
fcis-27147	6	5	intelligence	intelligence	NOUN
fcis-27147	6	6	technology	technology	NOUN
fcis-27147	6	7	has	have	AUX
fcis-27147	6	8	played	play	VERB
fcis-27147	6	9	a	a	DET
fcis-27147	6	10	crucial	crucial	ADJ
fcis-27147	6	11	role	role	NOUN
fcis-27147	6	12	in	in	ADP
fcis-27147	6	13	driving	drive	VERB
fcis-27147	6	14	stock	stock	NOUN
fcis-27147	6	15	model	model	NOUN
fcis-27147	6	16	prediction	prediction	NOUN
fcis-27147	6	17	.	.	PUNCT
fcis-27147	7	1	with	with	ADP
fcis-27147	7	2	the	the	DET
fcis-27147	7	3	development	development	NOUN
fcis-27147	7	4	and	and	CCONJ
fcis-27147	7	5	gradual	gradual	ADJ
fcis-27147	7	6	maturity	maturity	NOUN
fcis-27147	7	7	of	of	ADP
fcis-27147	7	8	machine	machine	NOUN
fcis-27147	7	9	learning	learn	VERB
fcis-27147	7	10	technology	technology	NOUN
fcis-27147	7	11	,	,	PUNCT
fcis-27147	7	12	machine	machine	NOUN
fcis-27147	7	13	learning	learning	NOUN
fcis-27147	7	14	models	model	NOUN
fcis-27147	7	15	are	be	AUX
fcis-27147	7	16	used	use	VERB
fcis-27147	7	17	for	for	ADP
fcis-27147	7	18	efficient	efficient	ADJ
fcis-27147	7	19	and	and	CCONJ
fcis-27147	7	20	accurate	accurate	ADJ
fcis-27147	7	21	analysis	analysis	NOUN
fcis-27147	7	22	of	of	ADP
fcis-27147	7	23	massive	massive	ADJ
fcis-27147	7	24	data	datum	NOUN
fcis-27147	7	25	in	in	ADP
fcis-27147	7	26	the	the	DET
fcis-27147	7	27	stock	stock	NOUN
fcis-27147	7	28	market	market	NOUN
fcis-27147	7	29	,	,	PUNCT
fcis-27147	7	30	thereby	thereby	ADV
fcis-27147	7	31	achieving	achieve	VERB
fcis-27147	7	32	data	datum	NOUN
fcis-27147	7	33	mining	mining	NOUN
fcis-27147	7	34	in	in	ADP
fcis-27147	7	35	the	the	DET
fcis-27147	7	36	stock	stock	NOUN
fcis-27147	7	37	market	market	NOUN
fcis-27147	7	38	,	,	PUNCT
fcis-27147	7	39	analyzing	analyze	VERB
fcis-27147	7	40	changes	change	NOUN
fcis-27147	7	41	in	in	ADP
fcis-27147	7	42	stock	stock	NOUN
fcis-27147	7	43	returns	return	NOUN
fcis-27147	7	44	,	,	PUNCT
fcis-27147	7	45	and	and	CCONJ
fcis-27147	7	46	predicting	predict	VERB
fcis-27147	7	47	them	they	PRON
fcis-27147	7	48	to	to	PART
fcis-27147	7	49	improve	improve	VERB
fcis-27147	7	50	investor	investor	NOUN
fcis-27147	7	51	returns	return	NOUN
fcis-27147	7	52	.	.	PUNCT
fcis-27147	8	1	keywords	keyword	NOUN
fcis-27147	8	2	:	:	PUNCT
fcis-27147	8	3	artificial	artificial	ADJ
fcis-27147	8	4	intelligence	intelligence	NOUN
fcis-27147	8	5	;	;	PUNCT
fcis-27147	8	6	machine	machine	NOUN
fcis-27147	8	7	learning	learning	NOUN
fcis-27147	8	8	;	;	PUNCT
fcis-27147	8	9	data	datum	NOUN
fcis-27147	8	10	mining	mining	NOUN
fcis-27147	8	11	.	.	PUNCT
fcis-27147	9	1	1	1	X
fcis-27147	9	2	.	.	X
fcis-27147	9	3	introduction	introduction	NOUN
fcis-27147	9	4	since	since	SCONJ
fcis-27147	9	5	ai	ai	PROPN
fcis-27147	9	6	was	be	AUX
fcis-27147	9	7	first	first	ADV
fcis-27147	9	8	proposed	propose	VERB
fcis-27147	9	9	in	in	ADP
fcis-27147	9	10	1950	1950	NUM
fcis-27147	9	11	,	,	PUNCT
fcis-27147	9	12	it	it	PRON
fcis-27147	9	13	has	have	AUX
fcis-27147	9	14	caused	cause	VERB
fcis-27147	9	15	a	a	DET
fcis-27147	9	16	huge	huge	ADJ
fcis-27147	9	17	uproar	uproar	NOUN
fcis-27147	9	18	.	.	PUNCT
fcis-27147	10	1	in	in	ADP
fcis-27147	10	2	the	the	DET
fcis-27147	10	3	past	past	ADJ
fcis-27147	10	4	stock	stock	NOUN
fcis-27147	10	5	market	market	NOUN
fcis-27147	10	6	,	,	PUNCT
fcis-27147	10	7	it	it	PRON
fcis-27147	10	8	was	be	AUX
fcis-27147	10	9	often	often	ADV
fcis-27147	10	10	difficult	difficult	ADJ
fcis-27147	10	11	for	for	SCONJ
fcis-27147	10	12	people	people	NOUN
fcis-27147	10	13	to	to	PART
fcis-27147	10	14	calculate	calculate	VERB
fcis-27147	10	15	when	when	SCONJ
fcis-27147	10	16	they	they	PRON
fcis-27147	10	17	would	would	AUX
fcis-27147	10	18	sell	sell	VERB
fcis-27147	10	19	or	or	CCONJ
fcis-27147	10	20	hold	hold	VERB
fcis-27147	10	21	.	.	PUNCT
fcis-27147	11	1	this	this	DET
fcis-27147	11	2	dilemma	dilemma	NOUN
fcis-27147	11	3	lasted	last	VERB
fcis-27147	11	4	for	for	ADP
fcis-27147	11	5	hundreds	hundred	NOUN
fcis-27147	11	6	of	of	ADP
fcis-27147	11	7	years	year	NOUN
fcis-27147	11	8	.	.	PUNCT
fcis-27147	12	1	newton	newton	PROPN
fcis-27147	12	2	has	have	VERB
fcis-27147	12	3	a	a	DET
fcis-27147	12	4	famous	famous	ADJ
fcis-27147	12	5	saying	saying	NOUN
fcis-27147	12	6	:	:	PUNCT
fcis-27147	12	7	i	i	PRON
fcis-27147	12	8	can	can	AUX
fcis-27147	12	9	explore	explore	VERB
fcis-27147	12	10	the	the	DET
fcis-27147	12	11	mysteries	mystery	NOUN
fcis-27147	12	12	of	of	ADP
fcis-27147	12	13	nature	nature	NOUN
fcis-27147	12	14	,	,	PUNCT
fcis-27147	12	15	but	but	CCONJ
fcis-27147	12	16	i	i	PRON
fcis-27147	12	17	can	can	AUX
fcis-27147	12	18	not	not	PART
fcis-27147	12	19	explore	explore	VERB
fcis-27147	12	20	the	the	DET
fcis-27147	12	21	dangers	danger	NOUN
fcis-27147	12	22	of	of	ADP
fcis-27147	12	23	human	human	ADJ
fcis-27147	12	24	nature	nature	NOUN
fcis-27147	12	25	.	.	PUNCT
fcis-27147	13	1	what	what	PRON
fcis-27147	13	2	describes	describe	VERB
fcis-27147	13	3	this	this	PRON
fcis-27147	13	4	is	be	AUX
fcis-27147	13	5	that	that	SCONJ
fcis-27147	13	6	people	people	NOUN
fcis-27147	13	7	will	will	AUX
fcis-27147	13	8	only	only	ADV
fcis-27147	13	9	continue	continue	VERB
fcis-27147	13	10	to	to	PART
fcis-27147	13	11	have	have	VERB
fcis-27147	13	12	various	various	ADJ
fcis-27147	13	13	events	event	NOUN
fcis-27147	13	14	in	in	ADP
fcis-27147	13	15	the	the	DET
fcis-27147	13	16	free	free	ADJ
fcis-27147	13	17	market	market	NOUN
fcis-27147	13	18	.	.	PUNCT
fcis-27147	14	1	after	after	ADV
fcis-27147	14	2	all	all	ADV
fcis-27147	14	3	,	,	PUNCT
fcis-27147	14	4	in	in	ADP
fcis-27147	14	5	the	the	DET
fcis-27147	14	6	capitalist	capitalist	ADJ
fcis-27147	14	7	market	market	NOUN
fcis-27147	14	8	,	,	PUNCT
fcis-27147	14	9	the	the	DET
fcis-27147	14	10	government	government	NOUN
fcis-27147	14	11	rarely	rarely	ADV
fcis-27147	14	12	intervenes	intervene	VERB
fcis-27147	14	13	in	in	ADP
fcis-27147	14	14	the	the	DET
fcis-27147	14	15	development	development	NOUN
fcis-27147	14	16	of	of	ADP
fcis-27147	14	17	the	the	DET
fcis-27147	14	18	market	market	NOUN
fcis-27147	14	19	.	.	PUNCT
fcis-27147	15	1	for	for	ADP
fcis-27147	15	2	example	example	NOUN
fcis-27147	15	3	,	,	PUNCT
fcis-27147	15	4	the	the	DET
fcis-27147	15	5	real	real	ADJ
fcis-27147	15	6	estate	estate	NOUN
fcis-27147	15	7	foam	foam	NOUN
fcis-27147	15	8	in	in	ADP
fcis-27147	15	9	miami	miami	PROPN
fcis-27147	15	10	in	in	ADP
fcis-27147	15	11	1928	1928	NUM
fcis-27147	15	12	led	lead	VERB
fcis-27147	15	13	to	to	ADP
fcis-27147	15	14	the	the	DET
fcis-27147	15	15	great	great	ADJ
fcis-27147	15	16	crisis	crisis	NOUN
fcis-27147	15	17	in	in	ADP
fcis-27147	15	18	1929	1929	NUM
fcis-27147	15	19	,	,	PUNCT
fcis-27147	15	20	which	which	PRON
fcis-27147	15	21	made	make	VERB
fcis-27147	15	22	countless	countless	ADJ
fcis-27147	15	23	people	people	NOUN
fcis-27147	15	24	homeless	homeless	ADJ
fcis-27147	15	25	.	.	PUNCT
fcis-27147	16	1	this	this	PRON
fcis-27147	16	2	makes	make	VERB
fcis-27147	16	3	people	people	NOUN
fcis-27147	16	4	extremely	extremely	ADV
fcis-27147	16	5	hopeful	hopeful	ADJ
fcis-27147	16	6	for	for	ADP
fcis-27147	16	7	the	the	DET
fcis-27147	16	8	increase	increase	NOUN
fcis-27147	16	9	in	in	ADP
fcis-27147	16	10	their	their	PRON
fcis-27147	16	11	stock	stock	NOUN
fcis-27147	16	12	prices	price	NOUN
fcis-27147	16	13	.	.	PUNCT
fcis-27147	17	1	in	in	ADP
fcis-27147	17	2	recent	recent	ADJ
fcis-27147	17	3	times	time	NOUN
fcis-27147	17	4	,	,	PUNCT
fcis-27147	17	5	ai	ai	VERB
fcis-27147	17	6	has	have	AUX
fcis-27147	17	7	been	be	AUX
fcis-27147	17	8	rapidly	rapidly	ADV
fcis-27147	17	9	developing	develop	VERB
fcis-27147	17	10	,	,	PUNCT
fcis-27147	17	11	especially	especially	ADV
fcis-27147	17	12	in	in	ADP
fcis-27147	17	13	google	google	PROPN
fcis-27147	17	14	's	's	PART
fcis-27147	17	15	open	open	ADJ
fcis-27147	17	16	ai	ai	NOUN
fcis-27147	17	17	,	,	PUNCT
fcis-27147	17	18	which	which	PRON
fcis-27147	17	19	is	be	AUX
fcis-27147	17	20	becoming	become	VERB
fcis-27147	17	21	increasingly	increasingly	ADV
fcis-27147	17	22	intelligent	intelligent	ADJ
fcis-27147	17	23	and	and	CCONJ
fcis-27147	17	24	capable	capable	ADJ
fcis-27147	17	25	of	of	ADP
fcis-27147	17	26	computing	compute	VERB
fcis-27147	17	27	massive	massive	ADJ
fcis-27147	17	28	amounts	amount	NOUN
fcis-27147	17	29	of	of	ADP
fcis-27147	17	30	data	datum	NOUN
fcis-27147	17	31	[	[	X
fcis-27147	17	32	1	1	NUM
fcis-27147	17	33	-	-	SYM
fcis-27147	17	34	3	3	NUM
fcis-27147	17	35	]	]	PUNCT
fcis-27147	17	36	,	,	PUNCT
fcis-27147	17	37	allowing	allow	VERB
fcis-27147	17	38	people	people	NOUN
fcis-27147	17	39	to	to	PART
fcis-27147	17	40	calculate	calculate	VERB
fcis-27147	17	41	the	the	DET
fcis-27147	17	42	profit	profit	NOUN
fcis-27147	17	43	margin	margin	NOUN
fcis-27147	17	44	of	of	ADP
fcis-27147	17	45	their	their	PRON
fcis-27147	17	46	own	own	ADJ
fcis-27147	17	47	stocks	stock	NOUN
fcis-27147	17	48	.	.	PUNCT
fcis-27147	18	1	we	we	PRON
fcis-27147	18	2	will	will	AUX
fcis-27147	18	3	conduct	conduct	VERB
fcis-27147	18	4	research	research	NOUN
fcis-27147	18	5	and	and	CCONJ
fcis-27147	18	6	exploration	exploration	NOUN
fcis-27147	18	7	based	base	VERB
fcis-27147	18	8	on	on	ADP
fcis-27147	18	9	this	this	DET
fcis-27147	18	10	development	development	NOUN
fcis-27147	18	11	.	.	PUNCT
fcis-27147	19	1	the	the	DET
fcis-27147	19	2	application	application	NOUN
fcis-27147	19	3	of	of	ADP
fcis-27147	19	4	machine	machine	NOUN
fcis-27147	19	5	learning	learning	NOUN
fcis-27147	19	6	models	model	NOUN
fcis-27147	19	7	[	[	X
fcis-27147	19	8	4	4	NUM
fcis-27147	19	9	-	-	SYM
fcis-27147	19	10	6	6	NUM
fcis-27147	19	11	]	]	PUNCT
fcis-27147	19	12	in	in	ADP
fcis-27147	19	13	quantitative	quantitative	ADJ
fcis-27147	19	14	investment	investment	NOUN
fcis-27147	19	15	strategies	strategy	NOUN
fcis-27147	19	16	[	[	X
fcis-27147	19	17	7	7	NUM
fcis-27147	19	18	-	-	SYM
fcis-27147	19	19	9	9	NUM
fcis-27147	19	20	]	]	PUNCT
fcis-27147	19	21	has	have	AUX
fcis-27147	19	22	promoted	promote	VERB
fcis-27147	19	23	the	the	DET
fcis-27147	19	24	development	development	NOUN
fcis-27147	19	25	and	and	CCONJ
fcis-27147	19	26	innovation	innovation	NOUN
fcis-27147	19	27	of	of	ADP
fcis-27147	19	28	the	the	DET
fcis-27147	19	29	fintech	fintech	NOUN
fcis-27147	19	30	field	field	NOUN
fcis-27147	19	31	.	.	PUNCT
fcis-27147	20	1	this	this	PRON
fcis-27147	20	2	not	not	PART
fcis-27147	20	3	only	only	ADV
fcis-27147	20	4	promotes	promote	VERB
fcis-27147	20	5	the	the	DET
fcis-27147	20	6	application	application	NOUN
fcis-27147	20	7	of	of	ADP
fcis-27147	20	8	new	new	ADJ
fcis-27147	20	9	technologies	technology	NOUN
fcis-27147	20	10	in	in	ADP
fcis-27147	20	11	the	the	DET
fcis-27147	20	12	financial	financial	ADJ
fcis-27147	20	13	sector	sector	NOUN
fcis-27147	20	14	,	,	PUNCT
fcis-27147	20	15	but	but	CCONJ
fcis-27147	20	16	also	also	ADV
fcis-27147	20	17	provides	provide	VERB
fcis-27147	20	18	an	an	DET
fcis-27147	20	19	example	example	NOUN
fcis-27147	20	20	of	of	ADP
fcis-27147	20	21	technological	technological	ADJ
fcis-27147	20	22	innovation	innovation	NOUN
fcis-27147	20	23	for	for	ADP
fcis-27147	20	24	other	other	ADJ
fcis-27147	20	25	industries	industry	NOUN
fcis-27147	20	26	.	.	PUNCT
fcis-27147	21	1	not	not	PART
fcis-27147	21	2	only	only	ADV
fcis-27147	21	3	does	do	AUX
fcis-27147	21	4	it	it	PRON
fcis-27147	21	5	promote	promote	VERB
fcis-27147	21	6	interdisciplinary	interdisciplinary	ADJ
fcis-27147	21	7	integration	integration	NOUN
fcis-27147	21	8	,	,	PUNCT
fcis-27147	21	9	but	but	CCONJ
fcis-27147	21	10	it	it	PRON
fcis-27147	21	11	also	also	ADV
fcis-27147	21	12	combines	combine	VERB
fcis-27147	21	13	machine	machine	NOUN
fcis-27147	21	14	learning	learn	VERB
fcis-27147	21	15	with	with	ADP
fcis-27147	21	16	financial	financial	ADJ
fcis-27147	21	17	investment	investment	NOUN
fcis-27147	21	18	,	,	PUNCT
fcis-27147	21	19	promoting	promote	VERB
fcis-27147	21	20	the	the	DET
fcis-27147	21	21	cross	cross	NOUN
fcis-27147	21	22	integration	integration	NOUN
fcis-27147	21	23	between	between	ADP
fcis-27147	21	24	computer	computer	NOUN
fcis-27147	21	25	science	science	NOUN
fcis-27147	21	26	,	,	PUNCT
fcis-27147	21	27	statistics	statistic	NOUN
fcis-27147	21	28	,	,	PUNCT
fcis-27147	21	29	and	and	CCONJ
fcis-27147	21	30	economics	economic	NOUN
fcis-27147	21	31	.	.	PUNCT
fcis-27147	22	1	it	it	PRON
fcis-27147	22	2	can	can	AUX
fcis-27147	22	3	also	also	ADV
fcis-27147	22	4	drive	drive	VERB
fcis-27147	22	5	innovation	innovation	NOUN
fcis-27147	22	6	,	,	PUNCT
fcis-27147	22	7	and	and	CCONJ
fcis-27147	22	8	the	the	DET
fcis-27147	22	9	rapid	rapid	ADJ
fcis-27147	22	10	development	development	NOUN
fcis-27147	22	11	of	of	ADP
fcis-27147	22	12	financial	financial	ADJ
fcis-27147	22	13	technology	technology	NOUN
fcis-27147	22	14	[	[	X
fcis-27147	22	15	10	10	NUM
fcis-27147	22	16	-	-	SYM
fcis-27147	22	17	12	12	NUM
fcis-27147	22	18	]	]	PUNCT
fcis-27147	22	19	,	,	PUNCT
fcis-27147	22	20	especially	especially	ADV
fcis-27147	22	21	in	in	ADP
fcis-27147	22	22	the	the	DET
fcis-27147	22	23	fields	field	NOUN
fcis-27147	22	24	of	of	ADP
fcis-27147	22	25	big	big	ADJ
fcis-27147	22	26	data	datum	NOUN
fcis-27147	22	27	,	,	PUNCT
fcis-27147	22	28	cloud	cloud	NOUN
fcis-27147	22	29	computing	computing	NOUN
fcis-27147	22	30	,	,	PUNCT
fcis-27147	22	31	and	and	CCONJ
fcis-27147	22	32	artificial	artificial	ADJ
fcis-27147	22	33	intelligence	intelligence	NOUN
fcis-27147	22	34	,	,	PUNCT
fcis-27147	22	35	provides	provide	VERB
fcis-27147	22	36	new	new	ADJ
fcis-27147	22	37	ideas	idea	NOUN
fcis-27147	22	38	and	and	CCONJ
fcis-27147	22	39	tools	tool	NOUN
fcis-27147	22	40	for	for	ADP
fcis-27147	22	41	quantitative	quantitative	ADJ
fcis-27147	22	42	investment	investment	NOUN
fcis-27147	22	43	strategies	strategy	NOUN
fcis-27147	22	44	,	,	PUNCT
fcis-27147	22	45	promoting	promote	VERB
fcis-27147	22	46	innovation	innovation	NOUN
fcis-27147	22	47	and	and	CCONJ
fcis-27147	22	48	development	development	NOUN
fcis-27147	22	49	of	of	ADP
fcis-27147	22	50	the	the	DET
fcis-27147	22	51	entire	entire	ADJ
fcis-27147	22	52	industry	industry	NOUN
fcis-27147	22	53	.	.	PUNCT
fcis-27147	23	1	2	2	X
fcis-27147	23	2	.	.	X
fcis-27147	23	3	related	relate	VERB
fcis-27147	23	4	work	work	NOUN
fcis-27147	23	5	on	on	ADP
fcis-27147	23	6	predicting	predict	VERB
fcis-27147	23	7	stock	stock	NOUN
fcis-27147	23	8	market	market	NOUN
fcis-27147	23	9	2.1	2.1	NUM
fcis-27147	23	10	.	.	PUNCT
fcis-27147	24	1	machine	machine	NOUN
fcis-27147	24	2	learning	learning	NOUN
fcis-27147	24	3	in	in	ADP
fcis-27147	24	4	the	the	DET
fcis-27147	24	5	field	field	NOUN
fcis-27147	24	6	of	of	ADP
fcis-27147	24	7	investment	investment	NOUN
fcis-27147	24	8	portfolios	portfolio	NOUN
fcis-27147	24	9	in	in	ADP
fcis-27147	24	10	the	the	DET
fcis-27147	24	11	field	field	NOUN
fcis-27147	24	12	of	of	ADP
fcis-27147	24	13	investment	investment	NOUN
fcis-27147	24	14	portfolios	portfolio	NOUN
fcis-27147	24	15	,	,	PUNCT
fcis-27147	24	16	machine	machine	NOUN
fcis-27147	24	17	learning	learning	NOUN
fcis-27147	24	18	has	have	AUX
fcis-27147	24	19	shown	show	VERB
fcis-27147	24	20	great	great	ADJ
fcis-27147	24	21	potential	potential	NOUN
fcis-27147	24	22	in	in	ADP
fcis-27147	24	23	stock	stock	NOUN
fcis-27147	24	24	price	price	NOUN
fcis-27147	24	25	prediction	prediction	NOUN
fcis-27147	24	26	,	,	PUNCT
fcis-27147	24	27	portfolio	portfolio	NOUN
fcis-27147	24	28	optimization	optimization	NOUN
fcis-27147	24	29	,	,	PUNCT
fcis-27147	24	30	and	and	CCONJ
fcis-27147	24	31	has	have	AUX
fcis-27147	24	32	become	become	VERB
fcis-27147	24	33	an	an	DET
fcis-27147	24	34	important	important	ADJ
fcis-27147	24	35	tool	tool	NOUN
fcis-27147	24	36	for	for	ADP
fcis-27147	24	37	many	many	ADJ
fcis-27147	24	38	financial	financial	ADJ
fcis-27147	24	39	institutions	institution	NOUN
fcis-27147	24	40	and	and	CCONJ
fcis-27147	24	41	investors	investor	NOUN
fcis-27147	24	42	based	base	VERB
fcis-27147	24	43	on	on	ADP
fcis-27147	24	44	this	this	PRON
fcis-27147	24	45	,	,	PUNCT
fcis-27147	24	46	existing	exist	VERB
fcis-27147	24	47	literature	literature	NOUN
fcis-27147	24	48	research	research	NOUN
fcis-27147	24	49	on	on	ADP
fcis-27147	24	50	investment	investment	NOUN
fcis-27147	24	51	decision	decision	NOUN
fcis-27147	24	52	-	-	PUNCT
fcis-27147	24	53	making	making	NOUN
fcis-27147	24	54	and	and	CCONJ
fcis-27147	24	55	predicting	predict	VERB
fcis-27147	24	56	future	future	ADJ
fcis-27147	24	57	stock	stock	NOUN
fcis-27147	24	58	returns	return	NOUN
fcis-27147	24	59	can	can	AUX
fcis-27147	24	60	be	be	AUX
fcis-27147	24	61	roughly	roughly	ADV
fcis-27147	24	62	divided	divide	VERB
fcis-27147	24	63	into	into	ADP
fcis-27147	24	64	the	the	DET
fcis-27147	24	65	following	follow	VERB
fcis-27147	24	66	three	three	NUM
fcis-27147	24	67	aspects	aspect	NOUN
fcis-27147	24	68	:	:	PUNCT
fcis-27147	24	69	firstly	firstly	ADV
fcis-27147	24	70	,	,	PUNCT
fcis-27147	24	71	traditional	traditional	ADJ
fcis-27147	24	72	econometric	econometric	ADJ
fcis-27147	24	73	models	model	NOUN
fcis-27147	24	74	represented	represent	VERB
fcis-27147	24	75	by	by	ADP
fcis-27147	24	76	autoregressive	autoregressive	ADJ
fcis-27147	24	77	moving	move	VERB
fcis-27147	24	78	average	average	ADJ
fcis-27147	24	79	models	model	NOUN
fcis-27147	24	80	traditional	traditional	ADJ
fcis-27147	24	81	investors	investor	NOUN
fcis-27147	24	82	heavily	heavily	ADV
fcis-27147	24	83	rely	rely	VERB
fcis-27147	24	84	on	on	ADP
fcis-27147	24	85	historical	historical	ADJ
fcis-27147	24	86	data	datum	NOUN
fcis-27147	24	87	from	from	ADP
fcis-27147	24	88	financial	financial	ADJ
fcis-27147	24	89	markets	market	NOUN
fcis-27147	24	90	and	and	CCONJ
fcis-27147	24	91	accumulate	accumulate	VERB
fcis-27147	24	92	experience	experience	NOUN
fcis-27147	24	93	in	in	ADP
fcis-27147	24	94	investment	investment	NOUN
fcis-27147	24	95	decisions	decision	NOUN
fcis-27147	24	96	by	by	ADP
fcis-27147	24	97	establishing	establish	VERB
fcis-27147	24	98	rigorous	rigorous	ADJ
fcis-27147	24	99	and	and	CCONJ
fcis-27147	24	100	complex	complex	ADJ
fcis-27147	24	101	econometric	econometric	ADJ
fcis-27147	24	102	models	model	NOUN
fcis-27147	24	103	the	the	DET
fcis-27147	24	104	second	second	ADJ
fcis-27147	24	105	is	be	AUX
fcis-27147	24	106	classical	classical	ADJ
fcis-27147	24	107	machine	machine	NOUN
fcis-27147	24	108	learning	learning	NOUN
fcis-27147	24	109	models	model	NOUN
fcis-27147	24	110	represented	represent	VERB
fcis-27147	24	111	by	by	ADP
fcis-27147	24	112	support	support	NOUN
fcis-27147	24	113	vector	vector	NOUN
fcis-27147	24	114	machines	machine	NOUN
fcis-27147	24	115	.	.	PUNCT
fcis-27147	25	1	machine	machine	NOUN
fcis-27147	25	2	learning	learning	NOUN
fcis-27147	25	3	methods	method	NOUN
fcis-27147	25	4	have	have	AUX
fcis-27147	25	5	broken	break	VERB
fcis-27147	25	6	the	the	DET
fcis-27147	25	7	limitations	limitation	NOUN
fcis-27147	25	8	of	of	ADP
fcis-27147	25	9	traditional	traditional	ADJ
fcis-27147	25	10	methods	method	NOUN
fcis-27147	25	11	such	such	ADJ
fcis-27147	25	12	as	as	ADP
fcis-27147	25	13	high	high	ADJ
fcis-27147	25	14	cost	cost	NOUN
fcis-27147	25	15	and	and	CCONJ
fcis-27147	25	16	optimized	optimize	VERB
fcis-27147	25	17	stock	stock	NOUN
fcis-27147	25	18	prediction	prediction	NOUN
fcis-27147	25	19	capabilities	capability	NOUN
fcis-27147	25	20	,	,	PUNCT
fcis-27147	25	21	which	which	PRON
fcis-27147	25	22	can	can	AUX
fcis-27147	25	23	further	far	ADV
fcis-27147	25	24	improve	improve	VERB
fcis-27147	25	25	prediction	prediction	NOUN
fcis-27147	25	26	accuracy	accuracy	NOUN
fcis-27147	25	27	and	and	CCONJ
fcis-27147	25	28	stability	stability	NOUN
fcis-27147	25	29	.	.	PUNCT
fcis-27147	26	1	the	the	DET
fcis-27147	26	2	third	third	NOUN
fcis-27147	26	3	is	be	AUX
fcis-27147	26	4	a	a	DET
fcis-27147	26	5	deep	deep	ADJ
fcis-27147	26	6	learning	learning	NOUN
fcis-27147	26	7	model	model	NOUN
fcis-27147	26	8	centered	center	VERB
fcis-27147	26	9	around	around	ADP
fcis-27147	26	10	neural	neural	ADJ
fcis-27147	26	11	networks	network	NOUN
fcis-27147	26	12	due	due	ADP
fcis-27147	26	13	to	to	ADP
fcis-27147	26	14	the	the	DET
fcis-27147	26	15	success	success	NOUN
fcis-27147	26	16	of	of	ADP
fcis-27147	26	17	deep	deep	ADJ
fcis-27147	26	18	neural	neural	ADJ
fcis-27147	26	19	networks	network	NOUN
fcis-27147	26	20	in	in	ADP
fcis-27147	26	21	financial	financial	ADJ
fcis-27147	26	22	data	datum	NOUN
fcis-27147	26	23	prediction	prediction	NOUN
fcis-27147	26	24	modeling	modeling	NOUN
fcis-27147	26	25	,	,	PUNCT
fcis-27147	26	26	deep	deep	ADJ
fcis-27147	26	27	learning	learning	NOUN
fcis-27147	26	28	has	have	AUX
fcis-27147	26	29	become	become	VERB
fcis-27147	26	30	a	a	DET
fcis-27147	26	31	promising	promising	ADJ
fcis-27147	26	32	financial	financial	ADJ
fcis-27147	26	33	prediction	prediction	NOUN
fcis-27147	26	34	method	method	NOUN
fcis-27147	26	35	.	.	PUNCT
fcis-27147	27	1	2.2	2.2	NUM
fcis-27147	27	2	.	.	PUNCT
fcis-27147	27	3	sptock	sptock	PROPN
fcis-27147	27	4	return	return	PROPN
fcis-27147	27	5	prediction	prediction	NOUN
fcis-27147	27	6	model	model	NOUN
fcis-27147	27	7	based	base	VERB
fcis-27147	27	8	on	on	ADP
fcis-27147	27	9	improved	improved	ADJ
fcis-27147	27	10	svm	svm	NOUN
fcis-27147	27	11	based	base	VERB
fcis-27147	27	12	on	on	ADP
fcis-27147	27	13	multiple	multiple	ADJ
fcis-27147	27	14	comprehensive	comprehensive	ADJ
fcis-27147	27	15	considerations	consideration	NOUN
fcis-27147	27	16	,	,	PUNCT
fcis-27147	27	17	including	include	VERB
fcis-27147	27	18	timeliness	timeliness	NOUN
fcis-27147	27	19	,	,	PUNCT
fcis-27147	27	20	representativeness	representativeness	ADJ
fcis-27147	27	21	,	,	PUNCT
fcis-27147	27	22	and	and	CCONJ
fcis-27147	27	23	computational	computational	ADJ
fcis-27147	27	24	cost	cost	NOUN
fcis-27147	27	25	of	of	ADP
fcis-27147	27	26	data	datum	NOUN
fcis-27147	27	27	,	,	PUNCT
fcis-27147	27	28	the	the	DET
fcis-27147	27	29	study	study	NOUN
fcis-27147	27	30	selected	select	VERB
fcis-27147	27	31	the	the	DET
fcis-27147	27	32	stocks	stock	NOUN
fcis-27147	27	33	of	of	ADP
fcis-27147	27	34	the	the	DET
fcis-27147	27	35	shanghai	shanghai	PROPN
fcis-27147	27	36	and	and	CCONJ
fcis-27147	27	37	shenzhen	shenzhen	PROPN
fcis-27147	27	38	300	300	NUM
fcis-27147	27	39	index	index	NOUN
fcis-27147	27	40	as	as	ADP
fcis-27147	27	41	the	the	DET
fcis-27147	27	42	research	research	NOUN
fcis-27147	27	43	sample	sample	NOUN
fcis-27147	27	44	.	.	PUNCT
fcis-27147	28	1	there	there	PRON
fcis-27147	28	2	is	be	VERB
fcis-27147	28	3	a	a	DET
fcis-27147	28	4	lot	lot	NOUN
fcis-27147	28	5	of	of	ADP
fcis-27147	28	6	useless	useless	ADJ
fcis-27147	28	7	information	information	NOUN
fcis-27147	28	8	in	in	ADP
fcis-27147	28	9	the	the	DET
fcis-27147	28	10	collected	collect	VERB
fcis-27147	28	11	sample	sample	NOUN
fcis-27147	28	12	data	datum	NOUN
fcis-27147	28	13	,	,	PUNCT
fcis-27147	28	14	which	which	PRON
fcis-27147	28	15	leads	lead	VERB
fcis-27147	28	16	to	to	ADP
fcis-27147	28	17	excessive	excessive	ADJ
fcis-27147	28	18	redundancy	redundancy	NOUN
fcis-27147	28	19	of	of	ADP
fcis-27147	28	20	the	the	DET
fcis-27147	28	21	sample	sample	NOUN
fcis-27147	28	22	data	datum	NOUN
fcis-27147	28	23	,	,	PUNCT
fcis-27147	28	24	increases	increase	VERB
fcis-27147	28	25	the	the	DET
fcis-27147	28	26	computational	computational	ADJ
fcis-27147	28	27	complexity	complexity	NOUN
fcis-27147	28	28	of	of	ADP
fcis-27147	28	29	the	the	DET
fcis-27147	28	30	model	model	NOUN
fcis-27147	28	31	,	,	PUNCT
fcis-27147	28	32	and	and	CCONJ
fcis-27147	28	33	affects	affect	VERB
fcis-27147	28	34	the	the	DET
fcis-27147	28	35	prediction	prediction	NOUN
fcis-27147	28	36	accuracy	accuracy	NOUN
fcis-27147	28	37	of	of	ADP
fcis-27147	28	38	the	the	DET
fcis-27147	28	39	model	model	NOUN
fcis-27147	28	40	.	.	PUNCT
fcis-27147	29	1	therefore	therefore	ADV
fcis-27147	29	2	,	,	PUNCT
fcis-27147	29	3	data	datum	NOUN
fcis-27147	29	4	preprocessing	preprocessing	NOUN
fcis-27147	29	5	is	be	AUX
fcis-27147	29	6	needed	need	VERB
fcis-27147	29	7	.	.	PUNCT
fcis-27147	30	1	by	by	ADP
fcis-27147	30	2	manually	manually	ADV
fcis-27147	30	3	filtering	filtering	NOUN
fcis-27147	30	4	,	,	PUNCT
fcis-27147	30	5	some	some	DET
fcis-27147	30	6	enterprises	enterprise	NOUN
fcis-27147	30	7	with	with	ADP
fcis-27147	30	8	missing	miss	VERB
fcis-27147	30	9	data	datum	NOUN
fcis-27147	30	10	can	can	AUX
fcis-27147	30	11	be	be	AUX
fcis-27147	30	12	deleted	delete	VERB
fcis-27147	30	13	to	to	PART
fcis-27147	30	14	reduce	reduce	VERB
fcis-27147	30	15	the	the	DET
fcis-27147	30	16	complexity	complexity	NOUN
fcis-27147	30	17	and	and	CCONJ
fcis-27147	30	18	redundancy	redundancy	NOUN
fcis-27147	30	19	of	of	ADP
fcis-27147	30	20	the	the	DET
fcis-27147	30	21	data	datum	NOUN
fcis-27147	30	22	.	.	PUNCT
fcis-27147	31	1	in	in	ADP
fcis-27147	31	2	addition	addition	NOUN
fcis-27147	31	3	,	,	PUNCT
fcis-27147	31	4	there	there	PRON
fcis-27147	31	5	are	be	VERB
fcis-27147	31	6	also	also	ADV
fcis-27147	31	7	a	a	DET
fcis-27147	31	8	large	large	ADJ
fcis-27147	31	9	number	number	NOUN
fcis-27147	31	10	of	of	ADP
fcis-27147	31	11	noise	noise	NOUN
fcis-27147	31	12	signals	signal	NOUN
fcis-27147	31	13	in	in	ADP
fcis-27147	31	14	the	the	DET
fcis-27147	31	15	data	data	NOUN
fcis-27147	31	16	samples	sample	NOUN
fcis-27147	31	17	,	,	PUNCT
fcis-27147	31	18	which	which	PRON
fcis-27147	31	19	seriously	seriously	ADV
fcis-27147	31	20	affect	affect	VERB
fcis-27147	31	21	the	the	DET
fcis-27147	31	22	quality	quality	NOUN
fcis-27147	31	23	of	of	ADP
fcis-27147	31	24	the	the	DET
fcis-27147	31	25	data	datum	NOUN
fcis-27147	31	26	and	and	CCONJ
fcis-27147	31	27	significantly	significantly	ADV
fcis-27147	31	28	reduce	reduce	VERB
fcis-27147	31	29	the	the	DET
fcis-27147	31	30	prediction	prediction	NOUN
fcis-27147	31	31	accuracy	accuracy	NOUN
fcis-27147	31	32	and	and	CCONJ
fcis-27147	31	33	efficiency	efficiency	NOUN
fcis-27147	31	34	of	of	ADP
fcis-27147	31	35	the	the	DET
fcis-27147	31	36	model	model	NOUN
fcis-27147	31	37	.	.	PUNCT
fcis-27147	32	1	therefore	therefore	ADV
fcis-27147	32	2	,	,	PUNCT
fcis-27147	32	3	it	it	PRON
fcis-27147	32	4	is	be	AUX
fcis-27147	32	5	necessary	necessary	ADJ
fcis-27147	32	6	to	to	PART
fcis-27147	32	7	filter	filter	VERB
fcis-27147	32	8	and	and	CCONJ
fcis-27147	32	9	denoise	denoise	VERB
fcis-27147	32	10	them	they	PRON
fcis-27147	32	11	.	.	PUNCT
fcis-27147	33	1	the	the	DET
fcis-27147	33	2	study	study	NOUN
fcis-27147	33	3	uses	use	VERB
fcis-27147	33	4	wavelet	wavelet	NOUN
fcis-27147	33	5	transform	transform	NOUN
fcis-27147	33	6	algorithm	algorithm	NOUN
fcis-27147	33	7	to	to	PART
fcis-27147	33	8	denoise	denoise	VERB
fcis-27147	33	9	the	the	DET
fcis-27147	33	10	sample	sample	NOUN
fcis-27147	33	11	data	datum	NOUN
fcis-27147	33	12	.	.	PUNCT
fcis-27147	34	1	2.3	2.3	NUM
fcis-27147	34	2	.	.	PUNCT
fcis-27147	35	1	deep	deep	ADJ
fcis-27147	35	2	learning	learning	NOUN
fcis-27147	35	3	models	model	VERB
fcis-27147	35	4	the	the	DET
fcis-27147	35	5	core	core	NOUN
fcis-27147	35	6	of	of	ADP
fcis-27147	35	7	deep	deep	ADJ
fcis-27147	35	8	learning	learning	NOUN
fcis-27147	35	9	lies	lie	VERB
fcis-27147	35	10	in	in	ADP
fcis-27147	35	11	artificial	artificial	ADJ
fcis-27147	35	12	neural	neural	ADJ
fcis-27147	35	13	networks	network	NOUN
fcis-27147	35	14	,	,	PUNCT
fcis-27147	35	15	26	26	NUM
fcis-27147	35	16	which	which	PRON
fcis-27147	35	17	mimic	mimic	VERB
fcis-27147	35	18	human	human	ADJ
fcis-27147	35	19	thinking	thinking	NOUN
fcis-27147	35	20	processes	process	NOUN
fcis-27147	35	21	to	to	PART
fcis-27147	35	22	analyze	analyze	VERB
fcis-27147	35	23	and	and	CCONJ
fcis-27147	35	24	learn	learn	VERB
fcis-27147	35	25	the	the	DET
fcis-27147	35	26	technology	technology	NOUN
fcis-27147	35	27	of	of	ADP
fcis-27147	35	28	data	datum	NOUN
fcis-27147	35	29	.	.	PUNCT
fcis-27147	36	1	this	this	DET
fcis-27147	36	2	process	process	NOUN
fcis-27147	36	3	is	be	AUX
fcis-27147	36	4	called	call	VERB
fcis-27147	36	5	deep	deep	ADJ
fcis-27147	36	6	learning	learning	NOUN
fcis-27147	36	7	.	.	PUNCT
fcis-27147	37	1	deep	deep	ADJ
fcis-27147	37	2	learning	learning	NOUN
fcis-27147	37	3	has	have	AUX
fcis-27147	37	4	demonstrated	demonstrate	VERB
fcis-27147	37	5	outstanding	outstanding	ADJ
fcis-27147	37	6	capabilities	capability	NOUN
fcis-27147	37	7	in	in	ADP
fcis-27147	37	8	feature	feature	NOUN
fcis-27147	37	9	extraction	extraction	NOUN
fcis-27147	37	10	,	,	PUNCT
fcis-27147	37	11	capable	capable	ADJ
fcis-27147	37	12	of	of	ADP
fcis-27147	37	13	extracting	extract	VERB
fcis-27147	37	14	deeper	deep	ADJ
fcis-27147	37	15	essential	essential	ADJ
fcis-27147	37	16	features	feature	NOUN
fcis-27147	37	17	from	from	ADP
fcis-27147	37	18	raw	raw	ADJ
fcis-27147	37	19	data	datum	NOUN
fcis-27147	37	20	,	,	PUNCT
fcis-27147	37	21	which	which	PRON
fcis-27147	37	22	is	be	AUX
fcis-27147	37	23	difficult	difficult	ADJ
fcis-27147	37	24	to	to	PART
fcis-27147	37	25	achieve	achieve	VERB
fcis-27147	37	26	with	with	ADP
fcis-27147	37	27	traditional	traditional	ADJ
fcis-27147	37	28	machine	machine	NOUN
fcis-27147	37	29	learning	learning	NOUN
fcis-27147	37	30	methods	method	NOUN
fcis-27147	37	31	.	.	PUNCT
fcis-27147	38	1	in	in	ADP
fcis-27147	38	2	traditional	traditional	ADJ
fcis-27147	38	3	machine	machine	NOUN
fcis-27147	38	4	learning	learning	NOUN
fcis-27147	38	5	,	,	PUNCT
fcis-27147	38	6	features	feature	NOUN
fcis-27147	38	7	need	need	VERB
fcis-27147	38	8	to	to	PART
fcis-27147	38	9	be	be	AUX
fcis-27147	38	10	manually	manually	ADV
fcis-27147	38	11	designed	design	VERB
fcis-27147	38	12	,	,	PUNCT
fcis-27147	38	13	which	which	PRON
fcis-27147	38	14	is	be	AUX
fcis-27147	38	15	a	a	DET
fcis-27147	38	16	complex	complex	ADJ
fcis-27147	38	17	and	and	CCONJ
fcis-27147	38	18	time	time	NOUN
fcis-27147	38	19	-	-	PUNCT
fcis-27147	38	20	consuming	consume	VERB
fcis-27147	38	21	process	process	NOUN
fcis-27147	38	22	.	.	PUNCT
fcis-27147	39	1	deep	deep	ADJ
fcis-27147	39	2	learning	learning	NOUN
fcis-27147	39	3	techniques	technique	NOUN
fcis-27147	39	4	can	can	AUX
fcis-27147	39	5	automatically	automatically	ADV
fcis-27147	39	6	identify	identify	VERB
fcis-27147	39	7	features	feature	NOUN
fcis-27147	39	8	from	from	ADP
fcis-27147	39	9	data	datum	NOUN
fcis-27147	39	10	and	and	CCONJ
fcis-27147	39	11	require	require	VERB
fcis-27147	39	12	optimizing	optimize	VERB
fcis-27147	39	13	the	the	DET
fcis-27147	39	14	learning	learning	NOUN
fcis-27147	39	15	process	process	NOUN
fcis-27147	39	16	by	by	ADP
fcis-27147	39	17	setting	set	VERB
fcis-27147	39	18	appropriate	appropriate	ADJ
fcis-27147	39	19	network	network	NOUN
fcis-27147	39	20	hierarchy	hierarchy	NOUN
fcis-27147	39	21	and	and	CCONJ
fcis-27147	39	22	number	number	NOUN
fcis-27147	39	23	of	of	ADP
fcis-27147	39	24	neurons	neuron	NOUN
fcis-27147	39	25	.	.	PUNCT
fcis-27147	40	1	the	the	DET
fcis-27147	40	2	multi	multi	ADJ
fcis-27147	40	3	-	-	ADJ
fcis-27147	40	4	layered	layered	ADJ
fcis-27147	40	5	hidden	hide	VERB
fcis-27147	40	6	layer	layer	NOUN
fcis-27147	40	7	structure	structure	NOUN
fcis-27147	40	8	of	of	ADP
fcis-27147	40	9	deep	deep	ADJ
fcis-27147	40	10	learning	learning	NOUN
fcis-27147	40	11	enables	enable	VERB
fcis-27147	40	12	models	model	NOUN
fcis-27147	40	13	to	to	PART
fcis-27147	40	14	learn	learn	VERB
fcis-27147	40	15	more	more	ADV
fcis-27147	40	16	complex	complex	ADJ
fcis-27147	40	17	abstract	abstract	ADJ
fcis-27147	40	18	features	feature	NOUN
fcis-27147	40	19	,	,	PUNCT
fcis-27147	40	20	which	which	PRON
fcis-27147	40	21	are	be	AUX
fcis-27147	40	22	processed	process	VERB
fcis-27147	40	23	through	through	ADP
fcis-27147	40	24	multiple	multiple	ADJ
fcis-27147	40	25	linear	linear	ADJ
fcis-27147	40	26	transformations	transformation	NOUN
fcis-27147	40	27	with	with	ADP
fcis-27147	40	28	the	the	DET
fcis-27147	40	29	ultimate	ultimate	ADJ
fcis-27147	40	30	goal	goal	NOUN
fcis-27147	40	31	of	of	ADP
fcis-27147	40	32	improving	improve	VERB
fcis-27147	40	33	the	the	DET
fcis-27147	40	34	prediction	prediction	NOUN
fcis-27147	40	35	accuracy	accuracy	NOUN
fcis-27147	40	36	of	of	ADP
fcis-27147	40	37	the	the	DET
fcis-27147	40	38	model	model	NOUN
fcis-27147	40	39	.	.	PUNCT
fcis-27147	41	1	2.4	2.4	NUM
fcis-27147	41	2	.	.	PUNCT
fcis-27147	42	1	long	long	ADJ
fcis-27147	42	2	short	short	ADJ
fcis-27147	42	3	-	-	PUNCT
fcis-27147	42	4	term	term	NOUN
fcis-27147	42	5	memory	memory	NOUN
fcis-27147	42	6	long	long	ADJ
fcis-27147	42	7	short	short	ADJ
fcis-27147	42	8	-	-	PUNCT
fcis-27147	42	9	term	term	NOUN
fcis-27147	42	10	memory	memory	NOUN
fcis-27147	42	11	network	network	NOUN
fcis-27147	42	12	is	be	AUX
fcis-27147	42	13	a	a	DET
fcis-27147	42	14	special	special	ADJ
fcis-27147	42	15	type	type	NOUN
fcis-27147	42	16	of	of	ADP
fcis-27147	42	17	recurrent	recurrent	ADJ
fcis-27147	42	18	neural	neural	ADJ
fcis-27147	42	19	network	network	NOUN
fcis-27147	42	20	designed	design	VERB
fcis-27147	42	21	specifically	specifically	ADV
fcis-27147	42	22	to	to	PART
fcis-27147	42	23	solve	solve	VERB
fcis-27147	42	24	the	the	DET
fcis-27147	42	25	long	long	ADJ
fcis-27147	42	26	-	-	PUNCT
fcis-27147	42	27	term	term	NOUN
fcis-27147	42	28	dependency	dependency	NOUN
fcis-27147	42	29	problem	problem	NOUN
fcis-27147	42	30	encountered	encounter	VERB
fcis-27147	42	31	by	by	ADP
fcis-27147	42	32	standard	standard	ADJ
fcis-27147	42	33	rnns	rnn	NOUN
fcis-27147	42	34	when	when	SCONJ
fcis-27147	42	35	processing	process	VERB
fcis-27147	42	36	long	long	ADJ
fcis-27147	42	37	sequence	sequence	NOUN
fcis-27147	42	38	data	datum	NOUN
fcis-27147	42	39	.	.	PUNCT
fcis-27147	43	1	in	in	ADP
fcis-27147	43	2	traditional	traditional	ADJ
fcis-27147	43	3	rnns	rnn	NOUN
fcis-27147	43	4	,	,	PUNCT
fcis-27147	43	5	due	due	ADP
fcis-27147	43	6	to	to	ADP
fcis-27147	43	7	the	the	DET
fcis-27147	43	8	problem	problem	NOUN
fcis-27147	43	9	of	of	ADP
fcis-27147	43	10	vanishing	vanish	VERB
fcis-27147	43	11	or	or	CCONJ
fcis-27147	43	12	exploding	explode	VERB
fcis-27147	43	13	gradients	gradient	NOUN
fcis-27147	43	14	,	,	PUNCT
fcis-27147	43	15	the	the	DET
fcis-27147	43	16	model	model	NOUN
fcis-27147	43	17	finds	find	VERB
fcis-27147	43	18	it	it	PRON
fcis-27147	43	19	difficult	difficult	ADJ
fcis-27147	43	20	to	to	PART
fcis-27147	43	21	maintain	maintain	VERB
fcis-27147	43	22	and	and	CCONJ
fcis-27147	43	23	learn	learn	VERB
fcis-27147	43	24	long	long	ADJ
fcis-27147	43	25	-	-	PUNCT
fcis-27147	43	26	term	term	NOUN
fcis-27147	43	27	dependencies	dependency	NOUN
fcis-27147	43	28	in	in	ADP
fcis-27147	43	29	time	time	NOUN
fcis-27147	43	30	series	series	PROPN
fcis-27147	43	31	.	.	PUNCT
fcis-27147	44	1	lstm	lstm	PROPN
fcis-27147	44	2	solves	solve	VERB
fcis-27147	44	3	this	this	DET
fcis-27147	44	4	problem	problem	NOUN
fcis-27147	44	5	by	by	ADP
fcis-27147	44	6	introducing	introduce	VERB
fcis-27147	44	7	special	special	ADJ
fcis-27147	44	8	structural	structural	ADJ
fcis-27147	44	9	units	unit	NOUN
fcis-27147	44	10	lstm	lstm	ADJ
fcis-27147	44	11	units	unit	NOUN
fcis-27147	44	12	.	.	PUNCT
fcis-27147	45	1	each	each	DET
fcis-27147	45	2	lstm	lstm	PROPN
fcis-27147	45	3	unit	unit	NOUN
fcis-27147	45	4	contains	contain	VERB
fcis-27147	45	5	three	three	NUM
fcis-27147	45	6	gate	gate	NOUN
fcis-27147	45	7	structures	structure	NOUN
fcis-27147	45	8	:	:	PUNCT
fcis-27147	45	9	input	input	NOUN
fcis-27147	45	10	gate	gate	NOUN
fcis-27147	45	11	,	,	PUNCT
fcis-27147	45	12	forget	forget	VERB
fcis-27147	45	13	gate	gate	NOUN
fcis-27147	45	14	,	,	PUNCT
fcis-27147	45	15	and	and	CCONJ
fcis-27147	45	16	output	output	NOUN
fcis-27147	45	17	gate	gate	NOUN
fcis-27147	45	18	.	.	PUNCT
fcis-27147	46	1	these	these	DET
fcis-27147	46	2	gate	gate	NOUN
fcis-27147	46	3	structures	structure	NOUN
fcis-27147	46	4	allow	allow	VERB
fcis-27147	46	5	lstm	lstm	ADJ
fcis-27147	46	6	units	unit	NOUN
fcis-27147	46	7	to	to	PART
fcis-27147	46	8	selectively	selectively	ADV
fcis-27147	46	9	store	store	NOUN
fcis-27147	46	10	,	,	PUNCT
fcis-27147	46	11	update	update	NOUN
fcis-27147	46	12	,	,	PUNCT
fcis-27147	46	13	or	or	CCONJ
fcis-27147	46	14	delete	delete	ADJ
fcis-27147	46	15	information	information	NOUN
fcis-27147	46	16	,	,	PUNCT
fcis-27147	46	17	effectively	effectively	ADV
fcis-27147	46	18	maintaining	maintain	VERB
fcis-27147	46	19	and	and	CCONJ
fcis-27147	46	20	transmitting	transmit	VERB
fcis-27147	46	21	long	long	ADJ
fcis-27147	46	22	-	-	PUNCT
fcis-27147	46	23	term	term	NOUN
fcis-27147	46	24	state	state	NOUN
fcis-27147	46	25	information	information	NOUN
fcis-27147	46	26	.	.	PUNCT
fcis-27147	47	1	the	the	DET
fcis-27147	47	2	input	input	PROPN
fcis-27147	47	3	gate	gate	NOUN
fcis-27147	47	4	controls	control	VERB
fcis-27147	47	5	the	the	DET
fcis-27147	47	6	entry	entry	NOUN
fcis-27147	47	7	of	of	ADP
fcis-27147	47	8	new	new	ADJ
fcis-27147	47	9	information	information	NOUN
fcis-27147	47	10	,	,	PUNCT
fcis-27147	47	11	the	the	DET
fcis-27147	47	12	forget	forget	PROPN
fcis-27147	47	13	gate	gate	PROPN
fcis-27147	47	14	determines	determine	NOUN
fcis-27147	47	15	which	which	DET
fcis-27147	47	16	information	information	NOUN
fcis-27147	47	17	should	should	AUX
fcis-27147	47	18	be	be	AUX
fcis-27147	47	19	discarded	discard	VERB
fcis-27147	47	20	,	,	PUNCT
fcis-27147	47	21	and	and	CCONJ
fcis-27147	47	22	the	the	DET
fcis-27147	47	23	output	output	NOUN
fcis-27147	47	24	gate	gate	NOUN
fcis-27147	47	25	controls	control	VERB
fcis-27147	47	26	the	the	DET
fcis-27147	47	27	flow	flow	NOUN
fcis-27147	47	28	of	of	ADP
fcis-27147	47	29	information	information	NOUN
fcis-27147	47	30	from	from	ADP
fcis-27147	47	31	the	the	DET
fcis-27147	47	32	unit	unit	NOUN
fcis-27147	47	33	state	state	NOUN
fcis-27147	47	34	to	to	ADP
fcis-27147	47	35	the	the	DET
fcis-27147	47	36	output	output	NOUN
fcis-27147	47	37	.	.	PUNCT
fcis-27147	48	1	the	the	DET
fcis-27147	48	2	working	work	VERB
fcis-27147	48	3	principle	principle	PROPN
fcis-27147	48	4	diagram	diagram	NOUN
fcis-27147	48	5	of	of	ADP
fcis-27147	48	6	the	the	DET
fcis-27147	48	7	ltsm	ltsm	NOUN
fcis-27147	48	8	model	model	NOUN
fcis-27147	48	9	is	be	AUX
fcis-27147	48	10	shown	show	VERB
fcis-27147	48	11	in	in	ADP
fcis-27147	48	12	figure	figure	NOUN
fcis-27147	48	13	1	1	NUM
fcis-27147	48	14	:	:	PUNCT
fcis-27147	48	15	figure	figure	NOUN
fcis-27147	48	16	1	1	NUM
fcis-27147	48	17	.	.	PUNCT
fcis-27147	48	18	working	work	VERB
fcis-27147	48	19	principle	principle	ADJ
fcis-27147	48	20	diagram	diagram	NOUN
fcis-27147	48	21	of	of	ADP
fcis-27147	48	22	ltsm	ltsm	NOUN
fcis-27147	48	23	model	model	NOUN
fcis-27147	48	24	.	.	PUNCT
fcis-27147	49	1	2.5	2.5	NUM
fcis-27147	49	2	.	.	PUNCT
fcis-27147	50	1	quantitative	quantitative	ADJ
fcis-27147	50	2	investment	investment	NOUN
fcis-27147	50	3	the	the	DET
fcis-27147	50	4	importance	importance	NOUN
fcis-27147	50	5	of	of	ADP
fcis-27147	50	6	data	datum	NOUN
fcis-27147	50	7	in	in	ADP
fcis-27147	50	8	quantitative	quantitative	ADJ
fcis-27147	50	9	investment	investment	NOUN
fcis-27147	50	10	is	be	AUX
fcis-27147	50	11	selfevident	selfevident	NOUN
fcis-27147	50	12	.	.	PUNCT
fcis-27147	51	1	investors	investor	NOUN
fcis-27147	51	2	will	will	AUX
fcis-27147	51	3	collect	collect	VERB
fcis-27147	51	4	information	information	NOUN
fcis-27147	51	5	including	include	VERB
fcis-27147	51	6	stock	stock	NOUN
fcis-27147	51	7	prices	price	NOUN
fcis-27147	51	8	,	,	PUNCT
fcis-27147	51	9	trading	trading	NOUN
fcis-27147	51	10	volumes	volume	NOUN
fcis-27147	51	11	a	a	DET
fcis-27147	51	12	large	large	ADJ
fcis-27147	51	13	amount	amount	NOUN
fcis-27147	51	14	of	of	ADP
fcis-27147	51	15	historical	historical	ADJ
fcis-27147	51	16	and	and	CCONJ
fcis-27147	51	17	realtime	realtime	ADJ
fcis-27147	51	18	data	datum	NOUN
fcis-27147	51	19	,	,	PUNCT
fcis-27147	51	20	including	include	VERB
fcis-27147	51	21	company	company	NOUN
fcis-27147	51	22	financial	financial	ADJ
fcis-27147	51	23	data	datum	NOUN
fcis-27147	51	24	and	and	CCONJ
fcis-27147	51	25	market	market	NOUN
fcis-27147	51	26	economy	economy	NOUN
fcis-27147	51	27	indicators	indicator	NOUN
fcis-27147	51	28	.	.	PUNCT
fcis-27147	52	1	these	these	DET
fcis-27147	52	2	data	datum	NOUN
fcis-27147	52	3	are	be	AUX
fcis-27147	52	4	not	not	PART
fcis-27147	52	5	limited	limit	VERB
fcis-27147	52	6	to	to	ADP
fcis-27147	52	7	traditional	traditional	ADJ
fcis-27147	52	8	numerical	numerical	ADJ
fcis-27147	52	9	data	datum	NOUN
fcis-27147	52	10	,	,	PUNCT
fcis-27147	52	11	but	but	CCONJ
fcis-27147	52	12	may	may	AUX
fcis-27147	52	13	also	also	ADV
fcis-27147	52	14	include	include	VERB
fcis-27147	52	15	unstructured	unstructured	ADJ
fcis-27147	52	16	data	datum	NOUN
fcis-27147	52	17	from	from	ADP
fcis-27147	52	18	social	social	ADJ
fcis-27147	52	19	media	medium	NOUN
fcis-27147	52	20	,	,	PUNCT
fcis-27147	52	21	news	news	NOUN
fcis-27147	52	22	reports	report	NOUN
fcis-27147	52	23	,	,	PUNCT
fcis-27147	52	24	and	and	CCONJ
fcis-27147	52	25	other	other	ADJ
fcis-27147	52	26	sources	source	NOUN
fcis-27147	52	27	.	.	PUNCT
fcis-27147	53	1	through	through	ADP
fcis-27147	53	2	comprehensive	comprehensive	ADJ
fcis-27147	53	3	analysis	analysis	NOUN
fcis-27147	53	4	of	of	ADP
fcis-27147	53	5	these	these	DET
fcis-27147	53	6	data	datum	NOUN
fcis-27147	53	7	,	,	PUNCT
fcis-27147	53	8	quantitative	quantitative	ADJ
fcis-27147	53	9	investment	investment	NOUN
fcis-27147	53	10	aims	aim	VERB
fcis-27147	53	11	to	to	PART
fcis-27147	53	12	identify	identify	VERB
fcis-27147	53	13	market	market	NOUN
fcis-27147	53	14	trends	trend	NOUN
fcis-27147	53	15	and	and	CCONJ
fcis-27147	53	16	investment	investment	NOUN
fcis-27147	53	17	opportunities	opportunity	NOUN
fcis-27147	53	18	,	,	PUNCT
fcis-27147	53	19	providing	provide	VERB
fcis-27147	53	20	scientific	scientific	ADJ
fcis-27147	53	21	basis	basis	NOUN
fcis-27147	53	22	for	for	ADP
fcis-27147	53	23	investment	investment	NOUN
fcis-27147	53	24	decisions	decision	NOUN
fcis-27147	53	25	.	.	PUNCT
fcis-27147	54	1	the	the	DET
fcis-27147	54	2	core	core	NOUN
fcis-27147	54	3	of	of	ADP
fcis-27147	54	4	quantitative	quantitative	ADJ
fcis-27147	54	5	investment	investment	NOUN
fcis-27147	54	6	strategy	strategy	NOUN
fcis-27147	54	7	is	be	AUX
fcis-27147	54	8	to	to	PART
fcis-27147	54	9	establish	establish	VERB
fcis-27147	54	10	and	and	CCONJ
fcis-27147	54	11	apply	apply	VERB
fcis-27147	54	12	complex	complex	ADJ
fcis-27147	54	13	mathematical	mathematical	ADJ
fcis-27147	54	14	models	model	NOUN
fcis-27147	54	15	and	and	CCONJ
fcis-27147	54	16	statistical	statistical	ADJ
fcis-27147	54	17	algorithms	algorithm	NOUN
fcis-27147	54	18	.	.	PUNCT
fcis-27147	55	1	these	these	DET
fcis-27147	55	2	models	model	NOUN
fcis-27147	55	3	and	and	CCONJ
fcis-27147	55	4	algorithms	algorithm	NOUN
fcis-27147	55	5	are	be	AUX
fcis-27147	55	6	capable	capable	ADJ
fcis-27147	55	7	of	of	ADP
fcis-27147	55	8	processing	processing	NOUN
fcis-27147	55	9	and	and	CCONJ
fcis-27147	55	10	analyzing	analyze	VERB
fcis-27147	55	11	large	large	ADJ
fcis-27147	55	12	amounts	amount	NOUN
fcis-27147	55	13	of	of	ADP
fcis-27147	55	14	data	datum	NOUN
fcis-27147	55	15	,	,	PUNCT
fcis-27147	55	16	helping	help	VERB
fcis-27147	55	17	investors	investor	NOUN
fcis-27147	55	18	predict	predict	VERB
fcis-27147	55	19	market	market	NOUN
fcis-27147	55	20	trends	trend	NOUN
fcis-27147	55	21	,	,	PUNCT
fcis-27147	55	22	assess	assess	NOUN
fcis-27147	55	23	risks	risk	NOUN
fcis-27147	55	24	,	,	PUNCT
fcis-27147	55	25	and	and	CCONJ
fcis-27147	55	26	build	build	VERB
fcis-27147	55	27	investment	investment	NOUN
fcis-27147	55	28	portfolios	portfolio	NOUN
fcis-27147	55	29	.	.	PUNCT
fcis-27147	56	1	in	in	ADP
fcis-27147	56	2	practical	practical	ADJ
fcis-27147	56	3	operation	operation	NOUN
fcis-27147	56	4	,	,	PUNCT
fcis-27147	56	5	quantitative	quantitative	ADJ
fcis-27147	56	6	investment	investment	NOUN
fcis-27147	56	7	often	often	ADV
fcis-27147	56	8	uses	use	VERB
fcis-27147	56	9	algorithmic	algorithmic	ADJ
fcis-27147	56	10	trading	trading	NOUN
fcis-27147	56	11	,	,	PUNCT
fcis-27147	56	12	which	which	PRON
fcis-27147	56	13	involves	involve	VERB
fcis-27147	56	14	executing	execute	VERB
fcis-27147	56	15	buy	buy	VERB
fcis-27147	56	16	and	and	CCONJ
fcis-27147	56	17	sell	sell	VERB
fcis-27147	56	18	orders	order	NOUN
fcis-27147	56	19	according	accord	VERB
fcis-27147	56	20	to	to	ADP
fcis-27147	56	21	preset	preset	ADJ
fcis-27147	56	22	strategies	strategy	NOUN
fcis-27147	56	23	through	through	ADP
fcis-27147	56	24	automated	automate	VERB
fcis-27147	56	25	trading	trading	NOUN
fcis-27147	56	26	systems	system	NOUN
fcis-27147	56	27	.	.	PUNCT
fcis-27147	57	1	this	this	DET
fcis-27147	57	2	method	method	NOUN
fcis-27147	57	3	not	not	PART
fcis-27147	57	4	only	only	ADV
fcis-27147	57	5	improves	improve	VERB
fcis-27147	57	6	transaction	transaction	NOUN
fcis-27147	57	7	efficiency	efficiency	NOUN
fcis-27147	57	8	,	,	PUNCT
fcis-27147	57	9	but	but	CCONJ
fcis-27147	57	10	also	also	ADV
fcis-27147	57	11	helps	help	VERB
fcis-27147	57	12	reduce	reduce	VERB
fcis-27147	57	13	transaction	transaction	NOUN
fcis-27147	57	14	costs	cost	NOUN
fcis-27147	57	15	and	and	CCONJ
fcis-27147	57	16	market	market	NOUN
fcis-27147	57	17	shocks	shock	NOUN
fcis-27147	57	18	.	.	PUNCT
fcis-27147	58	1	however	however	ADV
fcis-27147	58	2	,	,	PUNCT
fcis-27147	58	3	quantitative	quantitative	ADJ
fcis-27147	58	4	investment	investment	NOUN
fcis-27147	58	5	is	be	AUX
fcis-27147	58	6	not	not	PART
fcis-27147	58	7	without	without	ADP
fcis-27147	58	8	risks	risk	NOUN
fcis-27147	58	9	.	.	PUNCT
fcis-27147	59	1	the	the	DET
fcis-27147	59	2	complexity	complexity	NOUN
fcis-27147	59	3	and	and	CCONJ
fcis-27147	59	4	unpredictability	unpredictability	NOUN
fcis-27147	59	5	of	of	ADP
fcis-27147	59	6	the	the	DET
fcis-27147	59	7	market	market	NOUN
fcis-27147	59	8	mean	mean	VERB
fcis-27147	59	9	that	that	SCONJ
fcis-27147	59	10	even	even	ADV
fcis-27147	59	11	the	the	DET
fcis-27147	59	12	most	most	ADV
fcis-27147	59	13	advanced	advanced	ADJ
fcis-27147	59	14	models	model	NOUN
fcis-27147	59	15	can	can	AUX
fcis-27147	59	16	not	not	PART
fcis-27147	59	17	completely	completely	ADV
fcis-27147	59	18	eliminate	eliminate	VERB
fcis-27147	59	19	investment	investment	NOUN
fcis-27147	59	20	risks	risk	NOUN
fcis-27147	59	21	.	.	PUNCT
fcis-27147	60	1	in	in	ADP
fcis-27147	60	2	addition	addition	NOUN
fcis-27147	60	3	,	,	PUNCT
fcis-27147	60	4	errors	error	NOUN
fcis-27147	60	5	in	in	ADP
fcis-27147	60	6	the	the	DET
fcis-27147	60	7	model	model	NOUN
fcis-27147	60	8	and	and	CCONJ
fcis-27147	60	9	data	datum	NOUN
fcis-27147	60	10	may	may	AUX
fcis-27147	60	11	result	result	VERB
fcis-27147	60	12	in	in	ADP
fcis-27147	60	13	unexpected	unexpected	ADJ
fcis-27147	60	14	losses	loss	NOUN
fcis-27147	60	15	.	.	PUNCT
fcis-27147	61	1	therefore	therefore	ADV
fcis-27147	61	2	,	,	PUNCT
fcis-27147	61	3	risk	risk	NOUN
fcis-27147	61	4	management	management	NOUN
fcis-27147	61	5	has	have	AUX
fcis-27147	61	6	become	become	VERB
fcis-27147	61	7	an	an	DET
fcis-27147	61	8	important	important	ADJ
fcis-27147	61	9	component	component	NOUN
fcis-27147	61	10	of	of	ADP
fcis-27147	61	11	quantitative	quantitative	ADJ
fcis-27147	61	12	investment	investment	NOUN
fcis-27147	61	13	,	,	PUNCT
fcis-27147	61	14	including	include	VERB
fcis-27147	61	15	the	the	DET
fcis-27147	61	16	use	use	NOUN
fcis-27147	61	17	of	of	ADP
fcis-27147	61	18	multiple	multiple	ADJ
fcis-27147	61	19	risk	risk	NOUN
fcis-27147	61	20	control	control	NOUN
fcis-27147	61	21	models	model	NOUN
fcis-27147	61	22	to	to	PART
fcis-27147	61	23	assess	assess	VERB
fcis-27147	61	24	and	and	CCONJ
fcis-27147	61	25	manage	manage	VERB
fcis-27147	61	26	potential	potential	ADJ
fcis-27147	61	27	risks	risk	NOUN
fcis-27147	61	28	.	.	PUNCT
fcis-27147	62	1	quantitative	quantitative	ADJ
fcis-27147	62	2	investment	investment	NOUN
fcis-27147	62	3	strategies	strategy	NOUN
fcis-27147	62	4	guide	guide	VERB
fcis-27147	62	5	investment	investment	NOUN
fcis-27147	62	6	decisions	decision	NOUN
fcis-27147	62	7	through	through	ADP
fcis-27147	62	8	the	the	DET
fcis-27147	62	9	application	application	NOUN
fcis-27147	62	10	of	of	ADP
fcis-27147	62	11	mathematical	mathematical	ADJ
fcis-27147	62	12	models	model	NOUN
fcis-27147	62	13	,	,	PUNCT
fcis-27147	62	14	computer	computer	NOUN
fcis-27147	62	15	algorithms	algorithm	NOUN
fcis-27147	62	16	,	,	PUNCT
fcis-27147	62	17	and	and	CCONJ
fcis-27147	62	18	statistical	statistical	ADJ
fcis-27147	62	19	analysis	analysis	NOUN
fcis-27147	62	20	,	,	PUNCT
fcis-27147	62	21	and	and	CCONJ
fcis-27147	62	22	can	can	AUX
fcis-27147	62	23	be	be	AUX
fcis-27147	62	24	divided	divide	VERB
fcis-27147	62	25	into	into	ADP
fcis-27147	62	26	multiple	multiple	ADJ
fcis-27147	62	27	types	type	NOUN
fcis-27147	62	28	,	,	PUNCT
fcis-27147	62	29	each	each	DET
fcis-27147	62	30	operating	operate	VERB
fcis-27147	62	31	based	base	VERB
fcis-27147	62	32	on	on	ADP
fcis-27147	62	33	different	different	ADJ
fcis-27147	62	34	theories	theory	NOUN
fcis-27147	62	35	and	and	CCONJ
fcis-27147	62	36	market	market	NOUN
fcis-27147	62	37	behaviors	behavior	NOUN
fcis-27147	62	38	.	.	PUNCT
fcis-27147	63	1	the	the	DET
fcis-27147	63	2	main	main	ADJ
fcis-27147	63	3	classifications	classification	NOUN
fcis-27147	63	4	of	of	ADP
fcis-27147	63	5	quantitative	quantitative	ADJ
fcis-27147	63	6	investment	investment	NOUN
fcis-27147	63	7	strategies	strategy	NOUN
fcis-27147	63	8	include	include	VERB
fcis-27147	63	9	momentum	momentum	NOUN
fcis-27147	63	10	strategy	strategy	NOUN
fcis-27147	63	11	,	,	PUNCT
fcis-27147	63	12	mean	mean	VERB
fcis-27147	63	13	regression	regression	NOUN
fcis-27147	63	14	strategy	strategy	NOUN
fcis-27147	63	15	,	,	PUNCT
fcis-27147	63	16	arbitrage	arbitrage	NOUN
fcis-27147	63	17	strategy	strategy	NOUN
fcis-27147	63	18	,	,	PUNCT
fcis-27147	63	19	factor	factor	NOUN
fcis-27147	63	20	investment	investment	NOUN
fcis-27147	63	21	strategy	strategy	NOUN
fcis-27147	63	22	,	,	PUNCT
fcis-27147	63	23	event	event	NOUN
fcis-27147	63	24	driven	drive	VERB
fcis-27147	63	25	strategy	strategy	NOUN
fcis-27147	63	26	,	,	PUNCT
fcis-27147	63	27	machine	machine	NOUN
fcis-27147	63	28	learning	learning	NOUN
fcis-27147	63	29	strategy	strategy	NOUN
fcis-27147	63	30	,	,	PUNCT
fcis-27147	63	31	high	high	ADJ
fcis-27147	63	32	-	-	PUNCT
fcis-27147	63	33	frequency	frequency	NOUN
fcis-27147	63	34	trading	trading	NOUN
fcis-27147	63	35	,	,	PUNCT
fcis-27147	63	36	etc	etc	X
fcis-27147	63	37	.	.	X
fcis-27147	63	38	different	different	ADJ
fcis-27147	63	39	strategies	strategy	NOUN
fcis-27147	63	40	have	have	VERB
fcis-27147	63	41	their	their	PRON
fcis-27147	63	42	own	own	ADJ
fcis-27147	63	43	characteristics	characteristic	NOUN
fcis-27147	63	44	and	and	CCONJ
fcis-27147	63	45	are	be	AUX
fcis-27147	63	46	suitable	suitable	ADJ
fcis-27147	63	47	for	for	ADP
fcis-27147	63	48	different	different	ADJ
fcis-27147	63	49	market	market	NOUN
fcis-27147	63	50	environments	environment	NOUN
fcis-27147	63	51	and	and	CCONJ
fcis-27147	63	52	investment	investment	NOUN
fcis-27147	63	53	objectives	objective	NOUN
fcis-27147	63	54	.	.	PUNCT
fcis-27147	64	1	quantitative	quantitative	ADJ
fcis-27147	64	2	investors	investor	NOUN
fcis-27147	64	3	typically	typically	ADV
fcis-27147	64	4	choose	choose	VERB
fcis-27147	64	5	and	and	CCONJ
fcis-27147	64	6	adjust	adjust	VERB
fcis-27147	64	7	suitable	suitable	ADJ
fcis-27147	64	8	investment	investment	NOUN
fcis-27147	64	9	strategies	strategy	NOUN
fcis-27147	64	10	based	base	VERB
fcis-27147	64	11	on	on	ADP
fcis-27147	64	12	market	market	NOUN
fcis-27147	64	13	conditions	condition	NOUN
fcis-27147	64	14	,	,	PUNCT
fcis-27147	64	15	risk	risk	NOUN
fcis-27147	64	16	preferences	preference	NOUN
fcis-27147	64	17	,	,	PUNCT
fcis-27147	64	18	and	and	CCONJ
fcis-27147	64	19	investment	investment	NOUN
fcis-27147	64	20	periods	period	NOUN
fcis-27147	64	21	.	.	PUNCT
fcis-27147	65	1	with	with	ADP
fcis-27147	65	2	the	the	DET
fcis-27147	65	3	development	development	NOUN
fcis-27147	65	4	of	of	ADP
fcis-27147	65	5	financial	financial	ADJ
fcis-27147	65	6	technology	technology	NOUN
fcis-27147	65	7	,	,	PUNCT
fcis-27147	65	8	these	these	DET
fcis-27147	65	9	strategies	strategy	NOUN
fcis-27147	65	10	are	be	AUX
fcis-27147	65	11	also	also	ADV
fcis-27147	65	12	constantly	constantly	ADV
fcis-27147	65	13	evolving	evolve	VERB
fcis-27147	65	14	to	to	PART
fcis-27147	65	15	adapt	adapt	VERB
fcis-27147	65	16	to	to	ADP
fcis-27147	65	17	market	market	NOUN
fcis-27147	65	18	changes	change	NOUN
fcis-27147	65	19	.	.	PUNCT
fcis-27147	66	1	3	3	X
fcis-27147	66	2	.	.	X
fcis-27147	66	3	dataset	dataset	VERB
fcis-27147	66	4	3.1	3.1	NUM
fcis-27147	66	5	.	.	PUNCT
fcis-27147	67	1	experimental	experimental	ADJ
fcis-27147	67	2	dataset	dataset	NOUN
fcis-27147	67	3	firstly	firstly	ADV
fcis-27147	67	4	,	,	PUNCT
fcis-27147	67	5	obtain	obtain	VERB
fcis-27147	67	6	two	two	NUM
fcis-27147	67	7	datasets	dataset	NOUN
fcis-27147	67	8	as	as	ADP
fcis-27147	67	9	raw	raw	ADJ
fcis-27147	67	10	data	datum	NOUN
fcis-27147	67	11	:	:	PUNCT
fcis-27147	67	12	the	the	DET
fcis-27147	67	13	historical	historical	ADJ
fcis-27147	67	14	dataset	dataset	NOUN
fcis-27147	67	15	of	of	ADP
fcis-27147	67	16	the	the	DET
fcis-27147	67	17	shanghai	shanghai	PROPN
fcis-27147	67	18	composite	composite	ADJ
fcis-27147	67	19	index	index	NOUN
fcis-27147	67	20	and	and	CCONJ
fcis-27147	67	21	the	the	DET
fcis-27147	67	22	dataset	dataset	NOUN
fcis-27147	67	23	of	of	ADP
fcis-27147	67	24	related	relate	VERB
fcis-27147	67	25	financial	financial	ADJ
fcis-27147	67	26	news	news	NOUN
fcis-27147	67	27	headlines	headline	NOUN
fcis-27147	67	28	the	the	DET
fcis-27147	67	29	sampling	sampling	NOUN
fcis-27147	67	30	time	time	NOUN
fcis-27147	67	31	for	for	ADP
fcis-27147	67	32	both	both	DET
fcis-27147	67	33	datasets	dataset	NOUN
fcis-27147	67	34	is	be	AUX
fcis-27147	67	35	from	from	ADP
fcis-27147	67	36	november	november	PROPN
fcis-27147	67	37	1	1	NUM
fcis-27147	67	38	,	,	PUNCT
fcis-27147	67	39	2012	2012	NUM
fcis-27147	67	40	to	to	ADP
fcis-27147	67	41	november	november	PROPN
fcis-27147	67	42	11	11	NUM
fcis-27147	67	43	,	,	PUNCT
fcis-27147	67	44	2022	2022	NUM
fcis-27147	67	45	preprocess	preprocess	NOUN
fcis-27147	67	46	the	the	DET
fcis-27147	67	47	raw	raw	ADJ
fcis-27147	67	48	dataset	dataset	NOUN
fcis-27147	67	49	of	of	ADP
fcis-27147	67	50	shanghai	shanghai	PROPN
fcis-27147	67	51	composite	composite	ADJ
fcis-27147	67	52	index	index	NOUN
fcis-27147	67	53	prices	price	NOUN
fcis-27147	67	54	to	to	PART
fcis-27147	67	55	obtain	obtain	VERB
fcis-27147	67	56	daily	daily	ADJ
fcis-27147	67	57	logarithmic	logarithmic	ADJ
fcis-27147	67	58	returns	return	NOUN
fcis-27147	67	59	and	and	CCONJ
fcis-27147	67	60	7	7	NUM
fcis-27147	67	61	-	-	PUNCT
fcis-27147	67	62	day	day	NOUN
fcis-27147	67	63	volatility	volatility	NOUN
fcis-27147	67	64	,	,	PUNCT
fcis-27147	67	65	which	which	PRON
fcis-27147	67	66	will	will	AUX
fcis-27147	67	67	be	be	AUX
fcis-27147	67	68	used	use	VERB
fcis-27147	67	69	as	as	ADP
fcis-27147	67	70	the	the	DET
fcis-27147	67	71	target	target	NOUN
fcis-27147	67	72	variables	variable	VERB
fcis-27147	67	73	for	for	ADP
fcis-27147	67	74	prediction	prediction	NOUN
fcis-27147	67	75	on	on	ADP
fcis-27147	67	76	the	the	DET
fcis-27147	67	77	other	other	ADJ
fcis-27147	67	78	hand	hand	NOUN
fcis-27147	67	79	,	,	PUNCT
fcis-27147	67	80	calculate	calculate	VERB
fcis-27147	67	81	the	the	DET
fcis-27147	67	82	sentiment	sentiment	NOUN
fcis-27147	67	83	score	score	NOUN
fcis-27147	67	84	of	of	ADP
fcis-27147	67	85	each	each	DET
fcis-27147	67	86	news	news	NOUN
fcis-27147	67	87	headline	headline	NOUN
fcis-27147	67	88	and	and	CCONJ
fcis-27147	67	89	summarize	summarize	VERB
fcis-27147	67	90	it	it	PRON
fcis-27147	67	91	on	on	ADP
fcis-27147	67	92	a	a	DET
fcis-27147	67	93	daily	daily	ADJ
fcis-27147	67	94	basis	basis	NOUN
fcis-27147	67	95	to	to	PART
fcis-27147	67	96	construct	construct	VERB
fcis-27147	67	97	an	an	DET
fcis-27147	67	98	investor	investor	NOUN
fcis-27147	67	99	's	's	PART
fcis-27147	67	100	accumulated	accumulate	VERB
fcis-27147	67	101	sentiment	sentiment	NOUN
fcis-27147	67	102	index	index	NOUN
fcis-27147	67	103	as	as	ADP
fcis-27147	67	104	part	part	NOUN
fcis-27147	67	105	of	of	ADP
fcis-27147	67	106	the	the	DET
fcis-27147	67	107	model	model	NOUN
fcis-27147	67	108	input	input	NOUN
fcis-27147	67	109	.	.	PUNCT
fcis-27147	68	1	the	the	DET
fcis-27147	68	2	shanghai	shanghai	PROPN
fcis-27147	68	3	composite	composite	PROPN
fcis-27147	68	4	index	index	NOUN
fcis-27147	68	5	dataset	dataset	NOUN
fcis-27147	68	6	consists	consist	NOUN
fcis-27147	68	7	of	of	ADP
fcis-27147	68	8	2412	2412	NUM
fcis-27147	68	9	trading	trading	NOUN
fcis-27147	68	10	day	day	NOUN
fcis-27147	68	11	observation	observation	NOUN
fcis-27147	68	12	data	datum	NOUN
fcis-27147	68	13	we	we	PRON
fcis-27147	68	14	further	far	ADV
fcis-27147	68	15	divided	divide	VERB
fcis-27147	68	16	the	the	DET
fcis-27147	68	17	dataset	dataset	NOUN
fcis-27147	68	18	into	into	ADP
fcis-27147	68	19	two	two	NUM
fcis-27147	68	20	sets	set	NOUN
fcis-27147	68	21	,	,	PUNCT
fcis-27147	68	22	namely	namely	ADV
fcis-27147	68	23	the	the	DET
fcis-27147	68	24	training	training	NOUN
fcis-27147	68	25	set	set	NOUN
fcis-27147	68	26	and	and	CCONJ
fcis-27147	68	27	the	the	DET
fcis-27147	68	28	testing	testing	NOUN
fcis-27147	68	29	set	set	NOUN
fcis-27147	68	30	,	,	PUNCT
fcis-27147	68	31	with	with	ADP
fcis-27147	68	32	a	a	DET
fcis-27147	68	33	segmentation	segmentation	NOUN
fcis-27147	68	34	ratio	ratio	NOUN
fcis-27147	68	35	of	of	ADP
fcis-27147	68	36	8:2	8:2	NUM
fcis-27147	68	37	.	.	PUNCT
fcis-27147	69	1	that	that	PRON
fcis-27147	69	2	is	is	ADV
fcis-27147	69	3	,	,	PUNCT
fcis-27147	69	4	we	we	PRON
fcis-27147	69	5	used	use	VERB
fcis-27147	69	6	the	the	DET
fcis-27147	69	7	first	first	ADJ
fcis-27147	69	8	80	80	NUM
fcis-27147	69	9	%	%	NOUN
fcis-27147	69	10	of	of	ADP
fcis-27147	69	11	the	the	DET
fcis-27147	69	12	data	datum	NOUN
fcis-27147	69	13	(	(	PUNCT
fcis-27147	69	14	1929	1929	NUM
fcis-27147	69	15	observations	observation	NOUN
fcis-27147	69	16	)	)	PUNCT
fcis-27147	69	17	to	to	PART
fcis-27147	69	18	train	train	VERB
fcis-27147	69	19	the	the	DET
fcis-27147	69	20	prediction	prediction	NOUN
fcis-27147	69	21	model	model	NOUN
fcis-27147	69	22	,	,	PUNCT
fcis-27147	69	23	and	and	CCONJ
fcis-27147	69	24	the	the	DET
fcis-27147	69	25	remaining	remain	VERB
fcis-27147	69	26	20	20	NUM
fcis-27147	69	27	%	%	NOUN
fcis-27147	69	28	(	(	PUNCT
fcis-27147	69	29	483	483	NUM
fcis-27147	69	30	observations	observation	NOUN
fcis-27147	69	31	)	)	PUNCT
fcis-27147	69	32	as	as	SCONJ
fcis-27147	69	33	the	the	DET
fcis-27147	69	34	testing	testing	NOUN
fcis-27147	69	35	dataset	dataset	VERB
fcis-27147	69	36	to	to	PART
fcis-27147	69	37	evaluate	evaluate	VERB
fcis-27147	69	38	the	the	DET
fcis-27147	69	39	model	model	NOUN
fcis-27147	69	40	.	.	PUNCT
fcis-27147	70	1	to	to	PART
fcis-27147	70	2	ensure	ensure	VERB
fcis-27147	70	3	that	that	SCONJ
fcis-27147	70	4	the	the	DET
fcis-27147	70	5	prediction	prediction	NOUN
fcis-27147	70	6	model	model	NOUN
fcis-27147	70	7	is	be	AUX
fcis-27147	70	8	robust	robust	ADJ
fcis-27147	70	9	and	and	CCONJ
fcis-27147	70	10	does	do	AUX
fcis-27147	70	11	not	not	PART
fcis-27147	70	12	overfit	overfit	VERB
fcis-27147	70	13	the	the	DET
fcis-27147	70	14	training	training	NOUN
fcis-27147	70	15	data	datum	NOUN
fcis-27147	70	16	,	,	PUNCT
fcis-27147	70	17	we	we	PRON
fcis-27147	70	18	adopt	adopt	VERB
fcis-27147	70	19	a	a	DET
fcis-27147	70	20	rolling	rolling	ADJ
fcis-27147	70	21	prediction	prediction	NOUN
fcis-27147	70	22	process	process	NOUN
fcis-27147	70	23	,	,	PUNCT
fcis-27147	70	24	where	where	SCONJ
fcis-27147	70	25	the	the	DET
fcis-27147	70	26	rolling	rolling	ADJ
fcis-27147	70	27	window	window	NOUN
fcis-27147	70	28	is	be	AUX
fcis-27147	70	29	set	set	VERB
fcis-27147	70	30	to	to	ADP
fcis-27147	70	31	121	121	NUM
fcis-27147	70	32	days	day	NOUN
fcis-27147	70	33	there	there	PRON
fcis-27147	70	34	are	be	VERB
fcis-27147	70	35	a	a	DET
fcis-27147	70	36	total	total	NOUN
fcis-27147	70	37	of	of	ADP
fcis-27147	70	38	4	4	NUM
fcis-27147	70	39	rolling	rolling	ADJ
fcis-27147	70	40	test	test	NOUN
fcis-27147	70	41	cycles	cycle	NOUN
fcis-27147	70	42	,	,	PUNCT
fcis-27147	70	43	with	with	ADP
fcis-27147	70	44	cycle	cycle	NOUN
fcis-27147	70	45	1	1	NUM
fcis-27147	70	46	from	from	ADP
fcis-27147	70	47	november	november	PROPN
fcis-27147	70	48	16	16	NUM
fcis-27147	70	49	,	,	PUNCT
fcis-27147	70	50	2020	2020	NUM
fcis-27147	70	51	to	to	PART
fcis-27147	70	52	may	may	PROPN
fcis-27147	70	53	17	17	NUM
fcis-27147	70	54	,	,	PUNCT
fcis-27147	70	55	2021	2021	NUM
fcis-27147	70	56	,	,	PUNCT
fcis-27147	70	57	cycle	cycle	NOUN
fcis-27147	70	58	2	2	NUM
fcis-27147	70	59	from	from	ADP
fcis-27147	70	60	may	may	PROPN
fcis-27147	70	61	18	18	NUM
fcis-27147	70	62	,	,	PUNCT
fcis-27147	70	63	2021	2021	NUM
fcis-27147	70	64	to	to	ADP
fcis-27147	70	65	november	november	PROPN
fcis-27147	70	66	12	12	NUM
fcis-27147	70	67	,	,	PUNCT
fcis-27147	70	68	2021	2021	NUM
fcis-27147	70	69	,	,	PUNCT
fcis-27147	70	70	cycle	cycle	NOUN
fcis-27147	70	71	3	3	NUM
fcis-27147	70	72	from	from	ADP
fcis-27147	70	73	november	november	PROPN
fcis-27147	70	74	13	13	NUM
fcis-27147	70	75	,	,	PUNCT
fcis-27147	70	76	2021	2021	NUM
fcis-27147	70	77	to	to	PART
fcis-27147	70	78	may	may	PROPN
fcis-27147	70	79	17	17	NUM
fcis-27147	70	80	,	,	PUNCT
fcis-27147	70	81	2022	2022	NUM
fcis-27147	70	82	,	,	PUNCT
fcis-27147	70	83	and	and	CCONJ
fcis-27147	70	84	cycle	cycle	NOUN
fcis-27147	70	85	4	4	NUM
fcis-27147	70	86	from	from	ADP
fcis-27147	70	87	may	may	PROPN
fcis-27147	70	88	17	17	NUM
fcis-27147	70	89	,	,	PUNCT
fcis-27147	70	90	2022	2022	NUM
fcis-27147	70	91	to	to	ADP
fcis-27147	70	92	november	november	PROPN
fcis-27147	70	93	10	10	NUM
fcis-27147	70	94	,	,	PUNCT
fcis-27147	70	95	2022	2022	NUM
fcis-27147	70	96	the	the	DET
fcis-27147	70	97	descriptive	descriptive	ADJ
fcis-27147	70	98	statistics	statistic	NOUN
fcis-27147	70	99	of	of	ADP
fcis-27147	70	100	the	the	DET
fcis-27147	70	101	daily	daily	ADJ
fcis-27147	70	102	logarithmic	logarithmic	ADJ
fcis-27147	70	103	return	return	NOUN
fcis-27147	70	104	,	,	PUNCT
fcis-27147	70	105	7	7	NUM
fcis-27147	70	106	-	-	PUNCT
fcis-27147	70	107	day	day	NOUN
fcis-27147	70	108	volatility	volatility	NOUN
fcis-27147	70	109	,	,	PUNCT
fcis-27147	70	110	and	and	CCONJ
fcis-27147	70	111	cumulative	cumulative	ADJ
fcis-27147	70	112	investor	investor	NOUN
fcis-27147	70	113	sentiment	sentiment	NOUN
fcis-27147	70	114	index	index	NOUN
fcis-27147	70	115	of	of	ADP
fcis-27147	70	116	the	the	DET
fcis-27147	70	117	shanghai	shanghai	PROPN
fcis-27147	70	118	composite	composite	ADJ
fcis-27147	70	119	index	index	NOUN
fcis-27147	70	120	are	be	AUX
fcis-27147	70	121	listed	list	VERB
fcis-27147	70	122	in	in	ADP
fcis-27147	70	123	table	table	NOUN
fcis-27147	70	124	1	1	NUM
fcis-27147	70	125	.	.	PUNCT
fcis-27147	70	126	from	from	ADP
fcis-27147	70	127	table	table	NOUN
fcis-27147	70	128	1	1	NUM
fcis-27147	70	129	,	,	PUNCT
fcis-27147	70	130	it	it	PRON
fcis-27147	70	131	can	can	AUX
fcis-27147	70	132	be	be	AUX
fcis-27147	70	133	seen	see	VERB
fcis-27147	70	134	that	that	SCONJ
fcis-27147	70	135	all	all	DET
fcis-27147	70	136	three	three	NUM
fcis-27147	70	137	time	time	NOUN
fcis-27147	70	138	series	series	PROPN
fcis-27147	70	139	data	datum	NOUN
fcis-27147	70	140	exhibit	exhibit	VERB
fcis-27147	70	141	high	high	ADJ
fcis-27147	70	142	kurtosis	kurtosis	NOUN
fcis-27147	70	143	values	value	NOUN
fcis-27147	70	144	,	,	PUNCT
fcis-27147	70	145	indicating	indicate	VERB
fcis-27147	70	146	that	that	SCONJ
fcis-27147	70	147	they	they	PRON
fcis-27147	70	148	are	be	AUX
fcis-27147	70	149	all	all	ADV
fcis-27147	70	150	nonnormally	nonnormally	ADV
fcis-27147	70	151	distributed	distribute	VERB
fcis-27147	70	152	.	.	PUNCT
fcis-27147	71	1	in	in	ADP
fcis-27147	71	2	addition	addition	NOUN
fcis-27147	71	3	,	,	PUNCT
fcis-27147	71	4	the	the	DET
fcis-27147	71	5	enhanced	enhanced	ADJ
fcis-27147	71	6	dickey	dickey	PROPN
fcis-27147	71	7	g.	g.	PROPN
fcis-27147	71	8	27	27	NUM
fcis-27147	71	9	fuller	full	ADJ
fcis-27147	71	10	test	test	NOUN
fcis-27147	71	11	(	(	PUNCT
fcis-27147	71	12	adf	adf	NOUN
fcis-27147	71	13	)	)	PUNCT
fcis-27147	71	14	results	result	NOUN
fcis-27147	71	15	of	of	ADP
fcis-27147	71	16	the	the	DET
fcis-27147	71	17	three	three	NUM
fcis-27147	71	18	-	-	PUNCT
fcis-27147	71	19	time	time	NOUN
fcis-27147	71	20	series	series	NOUN
fcis-27147	71	21	are	be	AUX
fcis-27147	71	22	statistically	statistically	ADV
fcis-27147	71	23	significant	significant	ADJ
fcis-27147	71	24	at	at	ADP
fcis-27147	71	25	the	the	DET
fcis-27147	71	26	1	1	NUM
fcis-27147	71	27	%	%	NOUN
fcis-27147	71	28	significance	significance	NOUN
fcis-27147	71	29	level	level	NOUN
fcis-27147	71	30	,	,	PUNCT
fcis-27147	71	31	indicating	indicate	VERB
fcis-27147	71	32	that	that	SCONJ
fcis-27147	71	33	they	they	PRON
fcis-27147	71	34	are	be	AUX
fcis-27147	71	35	all	all	ADV
fcis-27147	71	36	stationary	stationary	ADJ
fcis-27147	71	37	.	.	PUNCT
fcis-27147	72	1	table	table	NOUN
fcis-27147	72	2	1	1	NUM
fcis-27147	72	3	.	.	PUNCT
fcis-27147	72	4	descriptive	descriptive	ADJ
fcis-27147	72	5	statistics	statistic	NOUN
fcis-27147	72	6	of	of	ADP
fcis-27147	72	7	time	time	NOUN
fcis-27147	72	8	-	-	PUNCT
fcis-27147	72	9	series	series	NOUN
fcis-27147	72	10	data	data	NOUN
fcis-27147	72	11	sample	sample	NOUN
fcis-27147	72	12	size	size	NOUN
fcis-27147	72	13	mean	mean	NOUN
fcis-27147	72	14	value	value	NOUN
fcis-27147	72	15	standard	standard	ADJ
fcis-27147	72	16	deviation	deviation	NOUN
fcis-27147	72	17	skewness	skewness	NOUN
fcis-27147	72	18	yield	yield	NOUN
fcis-27147	72	19	rate	rate	NOUN
fcis-27147	72	20	2412	2412	NUM
fcis-27147	73	1	0.62	0.62	NUM
fcis-27147	73	2	0.09	0.09	NUM
fcis-27147	73	3	-0.99	-0.99	NUM
fcis-27147	73	4	7	7	NUM
fcis-27147	73	5	-	-	PUNCT
fcis-27147	73	6	day	day	NOUN
fcis-27147	73	7	volatility	volatility	NOUN
fcis-27147	73	8	2412	2412	NUM
fcis-27147	73	9	0.18	0.18	NUM
fcis-27147	73	10	0.13	0.13	NUM
fcis-27147	73	11	2.24	2.24	NUM
fcis-27147	73	12	3.2	3.2	NUM
fcis-27147	73	13	.	.	PUNCT
fcis-27147	74	1	data	datum	NOUN
fcis-27147	74	2	processing	process	VERB
fcis-27147	74	3	through	through	ADP
fcis-27147	74	4	the	the	DET
fcis-27147	74	5	garch	garch	NOUN
fcis-27147	74	6	model	model	NOUN
fcis-27147	74	7	incorporating	incorporate	VERB
fcis-27147	74	8	the	the	DET
fcis-27147	74	9	cumulative	cumulative	ADJ
fcis-27147	74	10	sentiment	sentiment	NOUN
fcis-27147	74	11	index	index	NOUN
fcis-27147	74	12	of	of	ADP
fcis-27147	74	13	investor	investor	NOUN
fcis-27147	74	14	news	news	NOUN
fcis-27147	74	15	,	,	PUNCT
fcis-27147	74	16	we	we	PRON
fcis-27147	74	17	found	find	VERB
fcis-27147	74	18	that	that	SCONJ
fcis-27147	74	19	positive	positive	ADJ
fcis-27147	74	20	news	news	NOUN
fcis-27147	74	21	shocks	shock	NOUN
fcis-27147	74	22	are	be	AUX
fcis-27147	74	23	negatively	negatively	ADV
fcis-27147	74	24	correlated	correlate	VERB
fcis-27147	74	25	with	with	ADP
fcis-27147	74	26	volatility	volatility	NOUN
fcis-27147	74	27	,	,	PUNCT
fcis-27147	74	28	while	while	SCONJ
fcis-27147	74	29	negative	negative	ADJ
fcis-27147	74	30	news	news	NOUN
fcis-27147	74	31	shocks	shock	NOUN
fcis-27147	74	32	are	be	AUX
fcis-27147	74	33	positively	positively	ADV
fcis-27147	74	34	correlated	correlate	VERB
fcis-27147	74	35	with	with	ADP
fcis-27147	74	36	volatility	volatility	NOUN
fcis-27147	74	37	,	,	PUNCT
fcis-27147	74	38	which	which	PRON
fcis-27147	74	39	can	can	AUX
fcis-27147	74	40	be	be	AUX
fcis-27147	74	41	understood	understand	VERB
fcis-27147	74	42	as	as	ADP
fcis-27147	74	43	the	the	DET
fcis-27147	74	44	game	game	NOUN
fcis-27147	74	45	between	between	ADP
fcis-27147	74	46	irrational	irrational	ADJ
fcis-27147	74	47	and	and	CCONJ
fcis-27147	74	48	rational	rational	ADJ
fcis-27147	74	49	investors	investor	NOUN
fcis-27147	74	50	after	after	ADP
fcis-27147	74	51	being	be	AUX
fcis-27147	74	52	impacted	impact	VERB
fcis-27147	74	53	by	by	ADP
fcis-27147	74	54	different	different	ADJ
fcis-27147	74	55	types	type	NOUN
fcis-27147	74	56	of	of	ADP
fcis-27147	74	57	news	news	NOUN
fcis-27147	74	58	this	this	DET
fcis-27147	74	59	result	result	NOUN
fcis-27147	74	60	indicates	indicate	VERB
fcis-27147	74	61	that	that	SCONJ
fcis-27147	74	62	news	news	NOUN
fcis-27147	74	63	sentiment	sentiment	NOUN
fcis-27147	74	64	has	have	VERB
fcis-27147	74	65	an	an	DET
fcis-27147	74	66	asymmetric	asymmetric	ADJ
fcis-27147	74	67	impact	impact	NOUN
fcis-27147	74	68	on	on	ADP
fcis-27147	74	69	the	the	DET
fcis-27147	74	70	volatility	volatility	NOUN
fcis-27147	74	71	of	of	ADP
fcis-27147	74	72	the	the	DET
fcis-27147	74	73	shanghai	shanghai	PROPN
fcis-27147	74	74	composite	composite	ADJ
fcis-27147	74	75	index	index	NOUN
fcis-27147	74	76	returns	return	NOUN
fcis-27147	74	77	,	,	PUNCT
fcis-27147	74	78	with	with	ADP
fcis-27147	74	79	the	the	DET
fcis-27147	74	80	market	market	NOUN
fcis-27147	74	81	often	often	ADV
fcis-27147	74	82	reacting	react	VERB
fcis-27147	74	83	differently	differently	ADV
fcis-27147	74	84	to	to	ADP
fcis-27147	74	85	positive	positive	ADJ
fcis-27147	74	86	and	and	CCONJ
fcis-27147	74	87	negative	negative	ADJ
fcis-27147	74	88	news	news	NOUN
fcis-27147	74	89	.	.	PUNCT
fcis-27147	75	1	3.3	3.3	NUM
fcis-27147	75	2	.	.	PUNCT
fcis-27147	76	1	data	datum	NOUN
fcis-27147	76	2	construction	construction	VERB
fcis-27147	76	3	the	the	DET
fcis-27147	76	4	structural	structural	ADJ
fcis-27147	76	5	framework	framework	NOUN
fcis-27147	76	6	of	of	ADP
fcis-27147	76	7	the	the	DET
fcis-27147	76	8	bert	bert	PROPN
fcis-27147	76	9	model	model	NOUN
fcis-27147	76	10	consists	consist	VERB
fcis-27147	76	11	of	of	ADP
fcis-27147	76	12	an	an	DET
fcis-27147	76	13	input	input	NOUN
fcis-27147	76	14	layer	layer	NOUN
fcis-27147	76	15	,	,	PUNCT
fcis-27147	76	16	an	an	DET
fcis-27147	76	17	encoding	encoding	NOUN
fcis-27147	76	18	layer	layer	NOUN
fcis-27147	76	19	,	,	PUNCT
fcis-27147	76	20	and	and	CCONJ
fcis-27147	76	21	an	an	DET
fcis-27147	76	22	output	output	NOUN
fcis-27147	76	23	layer	layer	NOUN
fcis-27147	76	24	the	the	DET
fcis-27147	76	25	input	input	NOUN
fcis-27147	76	26	layer	layer	NOUN
fcis-27147	76	27	is	be	AUX
fcis-27147	76	28	used	use	VERB
fcis-27147	76	29	to	to	PART
fcis-27147	76	30	represent	represent	VERB
fcis-27147	76	31	text	text	NOUN
fcis-27147	76	32	data	datum	NOUN
fcis-27147	76	33	as	as	ADP
fcis-27147	76	34	computer	computer	NOUN
fcis-27147	76	35	-	-	PUNCT
fcis-27147	76	36	readable	readable	ADJ
fcis-27147	76	37	embedded	embed	VERB
fcis-27147	76	38	vectors	vector	NOUN
fcis-27147	76	39	in	in	ADP
fcis-27147	76	40	order	order	NOUN
fcis-27147	76	41	to	to	PART
fcis-27147	76	42	adapt	adapt	VERB
fcis-27147	76	43	to	to	ADP
fcis-27147	76	44	different	different	ADJ
fcis-27147	76	45	semantics	semantic	NOUN
fcis-27147	76	46	,	,	PUNCT
fcis-27147	76	47	the	the	DET
fcis-27147	76	48	input	input	NOUN
fcis-27147	76	49	of	of	ADP
fcis-27147	76	50	the	the	DET
fcis-27147	76	51	bert	bert	PROPN
fcis-27147	76	52	model	model	NOUN
fcis-27147	76	53	includes	include	VERB
fcis-27147	76	54	three	three	NUM
fcis-27147	76	55	parts	part	NOUN
fcis-27147	76	56	:	:	PUNCT
fcis-27147	76	57	word	word	NOUN
fcis-27147	76	58	vector	vector	NOUN
fcis-27147	76	59	,	,	PUNCT
fcis-27147	76	60	segment	segment	NOUN
fcis-27147	76	61	vector	vector	NOUN
fcis-27147	76	62	,	,	PUNCT
fcis-27147	76	63	and	and	CCONJ
fcis-27147	76	64	position	position	NOUN
fcis-27147	76	65	vector	vector	NOUN
fcis-27147	76	66	.	.	PUNCT
fcis-27147	77	1	after	after	SCONJ
fcis-27147	77	2	the	the	DET
fcis-27147	77	3	text	text	NOUN
fcis-27147	77	4	passes	pass	VERB
fcis-27147	77	5	through	through	ADP
fcis-27147	77	6	the	the	DET
fcis-27147	77	7	input	input	NOUN
fcis-27147	77	8	layer	layer	NOUN
fcis-27147	77	9	of	of	ADP
fcis-27147	77	10	the	the	DET
fcis-27147	77	11	bert	bert	PROPN
fcis-27147	77	12	model	model	PROPN
fcis-27147	77	13	,	,	PUNCT
fcis-27147	77	14	a	a	DET
fcis-27147	77	15	tag	tag	NOUN
fcis-27147	77	16	is	be	AUX
fcis-27147	77	17	first	first	ADV
fcis-27147	77	18	added	add	VERB
fcis-27147	77	19	at	at	ADP
fcis-27147	77	20	the	the	DET
fcis-27147	77	21	beginning	beginning	NOUN
fcis-27147	77	22	,	,	PUNCT
fcis-27147	77	23	as	as	ADV
fcis-27147	77	24	well	well	ADV
fcis-27147	77	25	as	as	ADP
fcis-27147	77	26	one	one	NUM
fcis-27147	77	27	or	or	CCONJ
fcis-27147	77	28	more	more	ADJ
fcis-27147	77	29	tags	tag	NOUN
fcis-27147	77	30	to	to	ADP
fcis-27147	77	31	separate	separate	ADJ
fcis-27147	77	32	sentences	sentence	NOUN
fcis-27147	77	33	or	or	CCONJ
fcis-27147	77	34	indicate	indicate	VERB
fcis-27147	77	35	the	the	DET
fcis-27147	77	36	end	end	NOUN
fcis-27147	77	37	of	of	ADP
fcis-27147	77	38	the	the	DET
fcis-27147	77	39	text	text	NOUN
fcis-27147	77	40	if	if	SCONJ
fcis-27147	77	41	the	the	DET
fcis-27147	77	42	text	text	NOUN
fcis-27147	77	43	consists	consist	VERB
fcis-27147	77	44	of	of	ADP
fcis-27147	77	45	several	several	ADJ
fcis-27147	77	46	sentences	sentence	NOUN
fcis-27147	77	47	,	,	PUNCT
fcis-27147	77	48	the	the	DET
fcis-27147	77	49	dimension	dimension	NOUN
fcis-27147	77	50	of	of	ADP
fcis-27147	77	51	the	the	DET
fcis-27147	77	52	text	text	NOUN
fcis-27147	77	53	vector	vector	NOUN
fcis-27147	77	54	obtained	obtain	VERB
fcis-27147	77	55	after	after	ADP
fcis-27147	77	56	processing	processing	NOUN
fcis-27147	77	57	will	will	AUX
fcis-27147	77	58	be	be	AUX
fcis-27147	77	59	converted	convert	VERB
fcis-27147	77	60	to	to	ADP
fcis-27147	77	61	the	the	DET
fcis-27147	77	62	dimension	dimension	NOUN
fcis-27147	77	63	of	of	ADP
fcis-27147	77	64	the	the	DET
fcis-27147	77	65	model	model	NOUN
fcis-27147	77	66	's	's	PART
fcis-27147	77	67	hidden	hide	VERB
fcis-27147	77	68	layer	layer	NOUN
fcis-27147	77	69	the	the	DET
fcis-27147	77	70	encoding	encoding	NOUN
fcis-27147	77	71	layer	layer	NOUN
fcis-27147	77	72	is	be	AUX
fcis-27147	77	73	composed	compose	VERB
fcis-27147	77	74	of	of	ADP
fcis-27147	77	75	multiple	multiple	ADJ
fcis-27147	77	76	transformer	transformer	NOUN
fcis-27147	77	77	encoder	encoder	NOUN
fcis-27147	77	78	parts	part	NOUN
fcis-27147	77	79	stacked	stack	VERB
fcis-27147	77	80	together	together	ADV
fcis-27147	77	81	,	,	PUNCT
fcis-27147	77	82	and	and	CCONJ
fcis-27147	77	83	the	the	DET
fcis-27147	77	84	core	core	NOUN
fcis-27147	77	85	structure	structure	NOUN
fcis-27147	77	86	is	be	AUX
fcis-27147	77	87	a	a	DET
fcis-27147	77	88	self	self	NOUN
fcis-27147	77	89	attention	attention	NOUN
fcis-27147	77	90	mechanism	mechanism	NOUN
fcis-27147	77	91	combined	combine	VERB
fcis-27147	77	92	with	with	ADP
fcis-27147	77	93	residual	residual	ADJ
fcis-27147	77	94	connections	connection	NOUN
fcis-27147	77	95	and	and	CCONJ
fcis-27147	77	96	layer	layer	NOUN
fcis-27147	77	97	normalization	normalization	NOUN
fcis-27147	77	98	,	,	PUNCT
fcis-27147	77	99	plus	plus	CCONJ
fcis-27147	77	100	a	a	DET
fcis-27147	77	101	feedforward	feedforward	ADJ
fcis-27147	77	102	neural	neural	ADJ
fcis-27147	77	103	network	network	NOUN
fcis-27147	77	104	.	.	PUNCT
fcis-27147	78	1	4	4	X
fcis-27147	78	2	.	.	X
fcis-27147	78	3	experiments	experiment	NOUN
fcis-27147	78	4	and	and	CCONJ
fcis-27147	78	5	results	result	NOUN
fcis-27147	78	6	accurately	accurately	ADV
fcis-27147	78	7	predicting	predict	VERB
fcis-27147	78	8	securities	security	NOUN
fcis-27147	78	9	returns	return	NOUN
fcis-27147	78	10	and	and	CCONJ
fcis-27147	78	11	volatility	volatility	NOUN
fcis-27147	78	12	is	be	AUX
fcis-27147	78	13	a	a	DET
fcis-27147	78	14	prerequisite	prerequisite	NOUN
fcis-27147	78	15	for	for	ADP
fcis-27147	78	16	optimizing	optimize	VERB
fcis-27147	78	17	asset	asset	NOUN
fcis-27147	78	18	allocation	allocation	NOUN
fcis-27147	78	19	this	this	DET
fcis-27147	78	20	article	article	NOUN
fcis-27147	78	21	proposes	propose	VERB
fcis-27147	78	22	an	an	DET
fcis-27147	78	23	index	index	NOUN
fcis-27147	78	24	based	base	VERB
fcis-27147	78	25	on	on	ADP
fcis-27147	78	26	news	news	NOUN
fcis-27147	78	27	text	text	NOUN
fcis-27147	78	28	sentiment	sentiment	NOUN
fcis-27147	78	29	to	to	PART
fcis-27147	78	30	measure	measure	VERB
fcis-27147	78	31	the	the	DET
fcis-27147	78	32	cumulative	cumulative	ADJ
fcis-27147	78	33	sentiment	sentiment	NOUN
fcis-27147	78	34	of	of	ADP
fcis-27147	78	35	investors	investor	NOUN
fcis-27147	78	36	,	,	PUNCT
fcis-27147	78	37	and	and	CCONJ
fcis-27147	78	38	constructs	construct	VERB
fcis-27147	78	39	a	a	DET
fcis-27147	78	40	model	model	NOUN
fcis-27147	78	41	that	that	PRON
fcis-27147	78	42	integrates	integrate	VERB
fcis-27147	78	43	the	the	DET
fcis-27147	78	44	cumulative	cumulative	ADJ
fcis-27147	78	45	sentiment	sentiment	NOUN
fcis-27147	78	46	index	index	NOUN
fcis-27147	78	47	of	of	ADP
fcis-27147	78	48	investors	investor	NOUN
fcis-27147	78	49	.	.	PUNCT
fcis-27147	79	1	the	the	DET
fcis-27147	79	2	cumulative	cumulative	ADJ
fcis-27147	79	3	sentiment	sentiment	NOUN
fcis-27147	79	4	index	index	NOUN
fcis-27147	79	5	of	of	ADP
fcis-27147	79	6	investors	investor	NOUN
fcis-27147	79	7	is	be	AUX
fcis-27147	79	8	incorporated	incorporate	VERB
fcis-27147	79	9	into	into	ADP
fcis-27147	79	10	the	the	DET
fcis-27147	79	11	daily	daily	ADJ
fcis-27147	79	12	logarithmic	logarithmic	ADJ
fcis-27147	79	13	return	return	NOUN
fcis-27147	79	14	and	and	CCONJ
fcis-27147	79	15	7	7	NUM
fcis-27147	79	16	-	-	PUNCT
fcis-27147	79	17	day	day	NOUN
fcis-27147	79	18	volatility	volatility	NOUN
fcis-27147	79	19	prediction	prediction	NOUN
fcis-27147	79	20	models	model	NOUN
fcis-27147	79	21	of	of	ADP
fcis-27147	79	22	the	the	DET
fcis-27147	79	23	shanghai	shanghai	PROPN
fcis-27147	79	24	composite	composite	ADJ
fcis-27147	79	25	index	index	NOUN
fcis-27147	79	26	using	use	VERB
fcis-27147	79	27	event	event	NOUN
fcis-27147	79	28	study	study	NOUN
fcis-27147	79	29	method	method	NOUN
fcis-27147	79	30	and	and	CCONJ
fcis-27147	79	31	a	a	DET
fcis-27147	79	32	model	model	NOUN
fcis-27147	79	33	with	with	ADP
fcis-27147	79	34	sentiment	sentiment	NOUN
fcis-27147	79	35	index	index	NOUN
fcis-27147	79	36	,	,	PUNCT
fcis-27147	79	37	this	this	DET
fcis-27147	79	38	study	study	NOUN
fcis-27147	79	39	empirically	empirically	ADV
fcis-27147	79	40	examines	examine	VERB
fcis-27147	79	41	the	the	DET
fcis-27147	79	42	impact	impact	NOUN
fcis-27147	79	43	of	of	ADP
fcis-27147	79	44	investors	investor	NOUN
fcis-27147	79	45	'	'	PART
fcis-27147	79	46	accumulated	accumulate	VERB
fcis-27147	79	47	sentiment	sentiment	NOUN
fcis-27147	79	48	index	index	NOUN
fcis-27147	79	49	on	on	ADP
fcis-27147	79	50	the	the	DET
fcis-27147	79	51	daily	daily	ADJ
fcis-27147	79	52	logarithmic	logarithmic	ADJ
fcis-27147	79	53	return	return	NOUN
fcis-27147	79	54	and	and	CCONJ
fcis-27147	79	55	7	7	NUM
fcis-27147	79	56	-	-	PUNCT
fcis-27147	79	57	day	day	NOUN
fcis-27147	79	58	volatility	volatility	NOUN
fcis-27147	79	59	of	of	ADP
fcis-27147	79	60	the	the	DET
fcis-27147	79	61	shanghai	shanghai	PROPN
fcis-27147	79	62	composite	composite	ADJ
fcis-27147	79	63	index	index	NOUN
fcis-27147	79	64	then	then	ADV
fcis-27147	79	65	,	,	PUNCT
fcis-27147	79	66	the	the	DET
fcis-27147	79	67	variational	variational	ADJ
fcis-27147	79	68	mode	mode	NOUN
fcis-27147	79	69	decomposition	decomposition	NOUN
fcis-27147	79	70	is	be	AUX
fcis-27147	79	71	applied	apply	VERB
fcis-27147	79	72	to	to	PART
fcis-27147	79	73	decompose	decompose	VERB
fcis-27147	79	74	the	the	DET
fcis-27147	79	75	historical	historical	ADJ
fcis-27147	79	76	data	datum	NOUN
fcis-27147	79	77	of	of	ADP
fcis-27147	79	78	daily	daily	ADJ
fcis-27147	79	79	logarithmic	logarithmic	ADJ
fcis-27147	79	80	returns	return	NOUN
fcis-27147	79	81	and	and	CCONJ
fcis-27147	79	82	7	7	NUM
fcis-27147	79	83	-	-	PUNCT
fcis-27147	79	84	day	day	NOUN
fcis-27147	79	85	volatility	volatility	NOUN
fcis-27147	79	86	of	of	ADP
fcis-27147	79	87	the	the	DET
fcis-27147	79	88	shanghai	shanghai	PROPN
fcis-27147	79	89	composite	composite	ADJ
fcis-27147	79	90	index	index	NOUN
fcis-27147	79	91	into	into	ADP
fcis-27147	79	92	various	various	ADJ
fcis-27147	79	93	intrinsic	intrinsic	ADJ
fcis-27147	79	94	modes	mode	NOUN
fcis-27147	79	95	the	the	DET
fcis-27147	79	96	results	result	NOUN
fcis-27147	79	97	indicate	indicate	VERB
fcis-27147	79	98	that	that	SCONJ
fcis-27147	79	99	market	market	NOUN
fcis-27147	79	100	sentiment	sentiment	NOUN
fcis-27147	79	101	has	have	VERB
fcis-27147	79	102	a	a	DET
fcis-27147	79	103	significant	significant	ADJ
fcis-27147	79	104	impact	impact	NOUN
fcis-27147	79	105	on	on	ADP
fcis-27147	79	106	the	the	DET
fcis-27147	79	107	price	price	NOUN
fcis-27147	79	108	fluctuations	fluctuation	NOUN
fcis-27147	79	109	of	of	ADP
fcis-27147	79	110	the	the	DET
fcis-27147	79	111	shanghai	shanghai	PROPN
fcis-27147	79	112	composite	composite	ADJ
fcis-27147	79	113	index	index	NOUN
fcis-27147	79	114	both	both	CCONJ
fcis-27147	79	115	positive	positive	ADJ
fcis-27147	79	116	and	and	CCONJ
fcis-27147	79	117	negative	negative	ADJ
fcis-27147	79	118	news	news	NOUN
fcis-27147	79	119	events	event	NOUN
fcis-27147	79	120	have	have	VERB
fcis-27147	79	121	a	a	DET
fcis-27147	79	122	significant	significant	ADJ
fcis-27147	79	123	impact	impact	NOUN
fcis-27147	79	124	on	on	ADP
fcis-27147	79	125	the	the	DET
fcis-27147	79	126	price	price	NOUN
fcis-27147	79	127	operation	operation	NOUN
fcis-27147	79	128	of	of	ADP
fcis-27147	79	129	the	the	DET
fcis-27147	79	130	shanghai	shanghai	PROPN
fcis-27147	79	131	composite	composite	PROPN
fcis-27147	79	132	index	index	NOUN
fcis-27147	79	133	,	,	PUNCT
fcis-27147	79	134	and	and	CCONJ
fcis-27147	79	135	the	the	DET
fcis-27147	79	136	impact	impact	NOUN
fcis-27147	79	137	of	of	ADP
fcis-27147	79	138	positive	positive	ADJ
fcis-27147	79	139	and	and	CCONJ
fcis-27147	79	140	negative	negative	ADJ
fcis-27147	79	141	shocks	shock	NOUN
fcis-27147	79	142	is	be	AUX
fcis-27147	79	143	asymmetric	asymmetric	ADJ
fcis-27147	79	144	by	by	ADP
fcis-27147	79	145	comparing	compare	VERB
fcis-27147	79	146	the	the	DET
fcis-27147	79	147	prediction	prediction	NOUN
fcis-27147	79	148	results	result	NOUN
fcis-27147	79	149	,	,	PUNCT
fcis-27147	79	150	it	it	PRON
fcis-27147	79	151	was	be	AUX
fcis-27147	79	152	found	find	VERB
fcis-27147	79	153	that	that	SCONJ
fcis-27147	79	154	the	the	DET
fcis-27147	79	155	deep	deep	ADJ
fcis-27147	79	156	learning	learning	NOUN
fcis-27147	79	157	model	model	NOUN
fcis-27147	79	158	combined	combine	VERB
fcis-27147	79	159	with	with	ADP
fcis-27147	79	160	the	the	DET
fcis-27147	79	161	variational	variational	ADJ
fcis-27147	79	162	mode	mode	NOUN
fcis-27147	79	163	decomposition	decomposition	NOUN
fcis-27147	79	164	of	of	ADP
fcis-27147	79	165	investors	investor	NOUN
fcis-27147	79	166	'	'	PART
fcis-27147	79	167	temporal	temporal	ADJ
fcis-27147	79	168	and	and	CCONJ
fcis-27147	79	169	auditory	auditory	ADJ
fcis-27147	79	170	cumulative	cumulative	ADJ
fcis-27147	79	171	sentiment	sentiment	NOUN
fcis-27147	79	172	index	index	NOUN
fcis-27147	79	173	had	have	VERB
fcis-27147	79	174	better	well	ADJ
fcis-27147	79	175	prediction	prediction	NOUN
fcis-27147	79	176	performance	performance	NOUN
fcis-27147	79	177	than	than	ADP
fcis-27147	79	178	various	various	ADJ
fcis-27147	79	179	econometric	econometric	ADJ
fcis-27147	79	180	models	model	NOUN
fcis-27147	79	181	and	and	CCONJ
fcis-27147	79	182	machine	machine	NOUN
fcis-27147	79	183	learning	learning	NOUN
fcis-27147	79	184	models	model	NOUN
fcis-27147	79	185	this	this	DET
fcis-27147	79	186	article	article	NOUN
fcis-27147	79	187	proposes	propose	VERB
fcis-27147	79	188	an	an	DET
fcis-27147	79	189	attempt	attempt	NOUN
fcis-27147	79	190	to	to	PART
fcis-27147	79	191	integrate	integrate	VERB
fcis-27147	79	192	news	news	NOUN
fcis-27147	79	193	text	text	NOUN
fcis-27147	79	194	data	datum	NOUN
fcis-27147	79	195	into	into	ADP
fcis-27147	79	196	stock	stock	NOUN
fcis-27147	79	197	return	return	NOUN
fcis-27147	79	198	and	and	CCONJ
fcis-27147	79	199	volatility	volatility	NOUN
fcis-27147	79	200	prediction	prediction	NOUN
fcis-27147	79	201	,	,	PUNCT
fcis-27147	79	202	demonstrating	demonstrate	VERB
fcis-27147	79	203	the	the	DET
fcis-27147	79	204	feasibility	feasibility	NOUN
fcis-27147	79	205	of	of	ADP
fcis-27147	79	206	deep	deep	ADJ
fcis-27147	79	207	learning	learning	NOUN
fcis-27147	79	208	models	model	NOUN
fcis-27147	79	209	in	in	ADP
fcis-27147	79	210	stock	stock	NOUN
fcis-27147	79	211	price	price	NOUN
fcis-27147	79	212	volatility	volatility	NOUN
fcis-27147	79	213	prediction	prediction	NOUN
fcis-27147	79	214	in	in	ADP
fcis-27147	79	215	future	future	ADJ
fcis-27147	79	216	research	research	NOUN
fcis-27147	79	217	,	,	PUNCT
fcis-27147	79	218	more	more	ADV
fcis-27147	79	219	online	online	ADJ
fcis-27147	79	220	data	data	NOUN
fcis-27147	79	221	resources	resource	NOUN
fcis-27147	79	222	can	can	AUX
fcis-27147	79	223	be	be	AUX
fcis-27147	79	224	considered	consider	VERB
fcis-27147	79	225	to	to	PART
fcis-27147	79	226	assist	assist	VERB
fcis-27147	79	227	in	in	ADP
fcis-27147	79	228	prediction	prediction	NOUN
fcis-27147	79	229	meanwhile	meanwhile	ADV
fcis-27147	79	230	,	,	PUNCT
fcis-27147	79	231	due	due	ADP
fcis-27147	79	232	to	to	ADP
fcis-27147	79	233	the	the	DET
fcis-27147	79	234	characteristics	characteristic	NOUN
fcis-27147	79	235	of	of	ADP
fcis-27147	79	236	deep	deep	ADJ
fcis-27147	79	237	learning	learning	NOUN
fcis-27147	79	238	models	model	NOUN
fcis-27147	79	239	,	,	PUNCT
fcis-27147	79	240	further	further	ADJ
fcis-27147	79	241	optimization	optimization	NOUN
fcis-27147	79	242	can	can	AUX
fcis-27147	79	243	be	be	AUX
fcis-27147	79	244	achieved	achieve	VERB
fcis-27147	79	245	by	by	ADP
fcis-27147	79	246	increasing	increase	VERB
fcis-27147	79	247	data	datum	NOUN
fcis-27147	79	248	volume	volume	NOUN
fcis-27147	79	249	and	and	CCONJ
fcis-27147	79	250	other	other	ADJ
fcis-27147	79	251	methods	method	NOUN
fcis-27147	79	252	to	to	PART
fcis-27147	79	253	improve	improve	VERB
fcis-27147	79	254	prediction	prediction	NOUN
fcis-27147	79	255	performance	performance	NOUN
fcis-27147	79	256	.	.	PUNCT
fcis-27147	80	1	evaluate	evaluate	VERB
fcis-27147	80	2	the	the	DET
fcis-27147	80	3	comprehensive	comprehensive	ADJ
fcis-27147	80	4	performance	performance	NOUN
fcis-27147	80	5	of	of	ADP
fcis-27147	80	6	the	the	DET
fcis-27147	80	7	model	model	NOUN
fcis-27147	80	8	through	through	ADP
fcis-27147	80	9	the	the	DET
fcis-27147	80	10	working	work	VERB
fcis-27147	80	11	characteristic	characteristic	ADJ
fcis-27147	80	12	curve	curve	NOUN
fcis-27147	80	13	of	of	ADP
fcis-27147	80	14	the	the	DET
fcis-27147	80	15	subjects	subject	NOUN
fcis-27147	80	16	.	.	PUNCT
fcis-27147	81	1	it	it	PRON
fcis-27147	81	2	can	can	AUX
fcis-27147	81	3	be	be	AUX
fcis-27147	81	4	seen	see	VERB
fcis-27147	81	5	that	that	SCONJ
fcis-27147	81	6	the	the	DET
fcis-27147	81	7	auc	auc	NOUN
fcis-27147	81	8	value	value	NOUN
fcis-27147	81	9	of	of	ADP
fcis-27147	81	10	the	the	DET
fcis-27147	81	11	ifoa	ifoa	ADJ
fcis-27147	81	12	-	-	PUNCT
fcis-27147	81	13	svm	svm	ADJ
fcis-27147	81	14	model	model	NOUN
fcis-27147	81	15	reaches	reach	VERB
fcis-27147	81	16	0	0	NUM
fcis-27147	81	17	954	954	NUM
fcis-27147	81	18	,	,	PUNCT
fcis-27147	81	19	which	which	PRON
fcis-27147	81	20	is	be	AUX
fcis-27147	81	21	0	0	NUM
fcis-27147	81	22	.	.	PUNCT
fcis-27147	81	23	higher	high	ADJ
fcis-27147	81	24	than	than	ADP
fcis-27147	81	25	the	the	DET
fcis-27147	81	26	ecgnn	ecgnn	ADJ
fcis-27147	81	27	model	model	NOUN
fcis-27147	81	28	and	and	CCONJ
fcis-27147	81	29	irf	irf	PROPN
fcis-27147	81	30	model	model	PROPN
fcis-27147	81	31	,	,	PUNCT
fcis-27147	81	32	respectively	respectively	ADV
fcis-27147	81	33	012	012	NUM
fcis-27147	81	34	and	and	CCONJ
fcis-27147	81	35	0	0	NUM
fcis-27147	81	36	023	023	NUM
fcis-27147	81	37	.	.	PUNCT
fcis-27147	82	1	in	in	ADP
fcis-27147	82	2	summary	summary	NOUN
fcis-27147	82	3	,	,	PUNCT
fcis-27147	82	4	the	the	DET
fcis-27147	82	5	constructed	construct	VERB
fcis-27147	82	6	ifoa	ifoa	ADJ
fcis-27147	82	7	-	-	PUNCT
fcis-27147	82	8	svm	svm	ADJ
fcis-27147	82	9	stock	stock	NOUN
fcis-27147	82	10	return	return	NOUN
fcis-27147	82	11	prediction	prediction	NOUN
fcis-27147	82	12	model	model	NOUN
fcis-27147	82	13	can	can	AUX
fcis-27147	82	14	efficiently	efficiently	ADV
fcis-27147	82	15	and	and	CCONJ
fcis-27147	82	16	accurately	accurately	ADV
fcis-27147	82	17	make	make	VERB
fcis-27147	82	18	intelligent	intelligent	ADJ
fcis-27147	82	19	predictions	prediction	NOUN
fcis-27147	82	20	of	of	ADP
fcis-27147	82	21	stock	stock	NOUN
fcis-27147	82	22	returns	return	NOUN
fcis-27147	82	23	,	,	PUNCT
fcis-27147	82	24	provide	provide	VERB
fcis-27147	82	25	data	data	NOUN
fcis-27147	82	26	support	support	NOUN
fcis-27147	82	27	for	for	ADP
fcis-27147	82	28	investors	investor	NOUN
fcis-27147	82	29	'	'	PART
fcis-27147	82	30	investment	investment	NOUN
fcis-27147	82	31	decisions	decision	NOUN
fcis-27147	82	32	,	,	PUNCT
fcis-27147	82	33	improve	improve	VERB
fcis-27147	82	34	investors	investor	NOUN
fcis-27147	82	35	'	'	PART
fcis-27147	82	36	investment	investment	NOUN
fcis-27147	82	37	returns	return	NOUN
fcis-27147	82	38	,	,	PUNCT
fcis-27147	82	39	and	and	CCONJ
fcis-27147	82	40	promote	promote	VERB
fcis-27147	82	41	the	the	DET
fcis-27147	82	42	development	development	NOUN
fcis-27147	82	43	of	of	ADP
fcis-27147	82	44	china	china	PROPN
fcis-27147	82	45	's	's	PART
fcis-27147	82	46	stock	stock	NOUN
fcis-27147	82	47	market	market	NOUN
fcis-27147	82	48	.	.	PUNCT
fcis-27147	83	1	5	5	X
fcis-27147	83	2	.	.	X
fcis-27147	83	3	conclusion	conclusion	VERB
fcis-27147	83	4	the	the	DET
fcis-27147	83	5	evaluation	evaluation	NOUN
fcis-27147	83	6	metrics	metric	NOUN
fcis-27147	83	7	of	of	ADP
fcis-27147	83	8	feedforward	feedforward	ADJ
fcis-27147	83	9	neural	neural	ADJ
fcis-27147	83	10	networks	network	NOUN
fcis-27147	83	11	were	be	AUX
fcis-27147	83	12	found	find	VERB
fcis-27147	83	13	to	to	PART
fcis-27147	83	14	be	be	AUX
fcis-27147	83	15	superior	superior	ADJ
fcis-27147	83	16	to	to	ADP
fcis-27147	83	17	the	the	DET
fcis-27147	83	18	other	other	ADJ
fcis-27147	83	19	six	six	NUM
fcis-27147	83	20	models	model	NOUN
fcis-27147	83	21	.	.	PUNCT
fcis-27147	84	1	then	then	ADV
fcis-27147	84	2	we	we	PRON
fcis-27147	84	3	further	far	ADV
fcis-27147	84	4	discussed	discuss	VERB
fcis-27147	84	5	the	the	DET
fcis-27147	84	6	impact	impact	NOUN
fcis-27147	84	7	of	of	ADP
fcis-27147	84	8	the	the	DET
fcis-27147	84	9	first	first	ADJ
fcis-27147	84	10	fully	fully	ADV
fcis-27147	84	11	connected	connect	VERB
fcis-27147	84	12	layer	layer	NOUN
fcis-27147	84	13	,	,	PUNCT
fcis-27147	84	14	activation	activation	NOUN
fcis-27147	84	15	function	function	NOUN
fcis-27147	84	16	,	,	PUNCT
fcis-27147	84	17	second	second	ADV
fcis-27147	84	18	fully	fully	ADV
fcis-27147	84	19	connected	connect	VERB
fcis-27147	84	20	layer	layer	NOUN
fcis-27147	84	21	,	,	PUNCT
fcis-27147	84	22	output	output	NOUN
fcis-27147	84	23	layer	layer	NOUN
fcis-27147	84	24	,	,	PUNCT
fcis-27147	84	25	and	and	CCONJ
fcis-27147	84	26	optimizer	optimizer	NOUN
fcis-27147	84	27	on	on	ADP
fcis-27147	84	28	the	the	DET
fcis-27147	84	29	prediction	prediction	NOUN
fcis-27147	84	30	results	result	NOUN
fcis-27147	84	31	of	of	ADP
fcis-27147	84	32	the	the	DET
fcis-27147	84	33	feedforward	feedforward	ADJ
fcis-27147	84	34	neural	neural	ADJ
fcis-27147	84	35	network	network	NOUN
fcis-27147	84	36	and	and	CCONJ
fcis-27147	84	37	optimized	optimize	VERB
fcis-27147	84	38	the	the	DET
fcis-27147	84	39	model	model	NOUN
fcis-27147	84	40	accordingly	accordingly	ADV
fcis-27147	84	41	.	.	PUNCT
fcis-27147	85	1	based	base	VERB
fcis-27147	85	2	on	on	ADP
fcis-27147	85	3	the	the	DET
fcis-27147	85	4	prediction	prediction	NOUN
fcis-27147	85	5	results	result	NOUN
fcis-27147	85	6	of	of	ADP
fcis-27147	85	7	the	the	DET
fcis-27147	85	8	feedforward	feedforward	ADJ
fcis-27147	85	9	neural	neural	ADJ
fcis-27147	85	10	network	network	NOUN
fcis-27147	85	11	,	,	PUNCT
fcis-27147	85	12	we	we	PRON
fcis-27147	85	13	constructed	construct	VERB
fcis-27147	85	14	specific	specific	ADJ
fcis-27147	85	15	investment	investment	NOUN
fcis-27147	85	16	strategies	strategy	NOUN
fcis-27147	85	17	and	and	CCONJ
fcis-27147	85	18	analyzed	analyze	VERB
fcis-27147	85	19	the	the	DET
fcis-27147	85	20	returns	return	NOUN
fcis-27147	85	21	of	of	ADP
fcis-27147	85	22	the	the	DET
fcis-27147	85	23	investment	investment	NOUN
fcis-27147	85	24	strategies	strategy	NOUN
fcis-27147	85	25	.	.	PUNCT
fcis-27147	86	1	the	the	DET
fcis-27147	86	2	experimental	experimental	ADJ
fcis-27147	86	3	results	result	NOUN
fcis-27147	86	4	show	show	VERB
fcis-27147	86	5	that	that	SCONJ
fcis-27147	86	6	feedforward	feedforward	NOUN
fcis-27147	86	7	neural	neural	ADJ
fcis-27147	86	8	networks	network	NOUN
fcis-27147	86	9	are	be	AUX
fcis-27147	86	10	not	not	PART
fcis-27147	86	11	only	only	ADV
fcis-27147	86	12	suitable	suitable	ADJ
fcis-27147	86	13	for	for	ADP
fcis-27147	86	14	stock	stock	NOUN
fcis-27147	86	15	price	price	NOUN
fcis-27147	86	16	prediction	prediction	NOUN
fcis-27147	86	17	,	,	PUNCT
fcis-27147	86	18	but	but	CCONJ
fcis-27147	86	19	also	also	ADV
fcis-27147	86	20	a	a	DET
fcis-27147	86	21	powerful	powerful	ADJ
fcis-27147	86	22	and	and	CCONJ
fcis-27147	86	23	versatile	versatile	ADJ
fcis-27147	86	24	network	network	NOUN
fcis-27147	86	25	model	model	NOUN
fcis-27147	86	26	,	,	PUNCT
fcis-27147	86	27	especially	especially	ADV
fcis-27147	86	28	in	in	ADP
fcis-27147	86	29	terms	term	NOUN
fcis-27147	86	30	of	of	ADP
fcis-27147	86	31	prediction	prediction	NOUN
fcis-27147	86	32	accuracy	accuracy	NOUN
fcis-27147	86	33	.	.	PUNCT
fcis-27147	87	1	predicting	predict	VERB
fcis-27147	87	2	stock	stock	NOUN
fcis-27147	87	3	returns	return	NOUN
fcis-27147	87	4	is	be	AUX
fcis-27147	87	5	beneficial	beneficial	ADJ
fcis-27147	87	6	for	for	ADP
fcis-27147	87	7	providing	provide	VERB
fcis-27147	87	8	data	datum	NOUN
fcis-27147	87	9	support	support	NOUN
fcis-27147	87	10	to	to	ADP
fcis-27147	87	11	investors	investor	NOUN
fcis-27147	87	12	,	,	PUNCT
fcis-27147	87	13	improving	improve	VERB
fcis-27147	87	14	their	their	PRON
fcis-27147	87	15	returns	return	NOUN
fcis-27147	87	16	,	,	PUNCT
fcis-27147	87	17	and	and	CCONJ
fcis-27147	87	18	stimulating	stimulate	VERB
fcis-27147	87	19	the	the	DET
fcis-27147	87	20	development	development	NOUN
fcis-27147	87	21	of	of	ADP
fcis-27147	87	22	china	china	PROPN
fcis-27147	87	23	's	's	PART
fcis-27147	87	24	stock	stock	NOUN
fcis-27147	87	25	market	market	NOUN
fcis-27147	87	26	,	,	PUNCT
fcis-27147	87	27	which	which	PRON
fcis-27147	87	28	has	have	VERB
fcis-27147	87	29	a	a	DET
fcis-27147	87	30	positive	positive	ADJ
fcis-27147	87	31	significance	significance	NOUN
fcis-27147	87	32	for	for	ADP
fcis-27147	87	33	the	the	DET
fcis-27147	87	34	development	development	NOUN
fcis-27147	87	35	of	of	ADP
fcis-27147	87	36	china	china	PROPN
fcis-27147	87	37	's	's	PART
fcis-27147	87	38	market	market	NOUN
fcis-27147	87	39	economy	economy	NOUN
fcis-27147	87	40	.	.	PUNCT
fcis-27147	88	1	there	there	PRON
fcis-27147	88	2	have	have	AUX
fcis-27147	88	3	been	be	AUX
fcis-27147	88	4	many	many	ADJ
fcis-27147	88	5	research	research	NOUN
fcis-27147	88	6	achievements	achievement	NOUN
fcis-27147	88	7	in	in	ADP
fcis-27147	88	8	predicting	predict	VERB
fcis-27147	88	9	stock	stock	NOUN
fcis-27147	88	10	returns	return	NOUN
fcis-27147	88	11	based	base	VERB
fcis-27147	88	12	on	on	ADP
fcis-27147	88	13	machine	machine	NOUN
fcis-27147	88	14	learning	learning	NOUN
fcis-27147	88	15	models	model	NOUN
fcis-27147	88	16	,	,	PUNCT
fcis-27147	88	17	but	but	CCONJ
fcis-27147	88	18	the	the	DET
fcis-27147	88	19	accuracy	accuracy	NOUN
fcis-27147	88	20	and	and	CCONJ
fcis-27147	88	21	efficiency	efficiency	NOUN
fcis-27147	88	22	are	be	AUX
fcis-27147	88	23	still	still	ADV
fcis-27147	88	24	not	not	PART
fcis-27147	88	25	ideal	ideal	ADJ
fcis-27147	88	26	.	.	PUNCT
fcis-27147	89	1	by	by	ADP
fcis-27147	89	2	constructing	construct	VERB
fcis-27147	89	3	a	a	DET
fcis-27147	89	4	shanghai	shanghai	PROPN
fcis-27147	89	5	and	and	CCONJ
fcis-27147	89	6	shenzhen	shenzhen	PROPN
fcis-27147	89	7	stock	stock	PROPN
fcis-27147	89	8	selection	selection	NOUN
fcis-27147	89	9	strategy	strategy	NOUN
fcis-27147	89	10	based	base	VERB
fcis-27147	89	11	on	on	ADP
fcis-27147	89	12	feedforward	feedforward	ADJ
fcis-27147	89	13	neural	neural	ADJ
fcis-27147	89	14	networks	network	NOUN
fcis-27147	89	15	and	and	CCONJ
fcis-27147	89	16	evaluating	evaluate	VERB
fcis-27147	89	17	its	its	PRON
fcis-27147	89	18	performance	performance	NOUN
fcis-27147	89	19	using	use	VERB
fcis-27147	89	20	indicators	indicator	NOUN
fcis-27147	89	21	such	such	ADJ
fcis-27147	89	22	as	as	ADP
fcis-27147	89	23	total	total	ADJ
fcis-27147	89	24	return	return	NOUN
fcis-27147	89	25	,	,	PUNCT
fcis-27147	89	26	sharpe	sharpe	NOUN
fcis-27147	89	27	ratio	ratio	NOUN
fcis-27147	89	28	,	,	PUNCT
fcis-27147	89	29	and	and	CCONJ
fcis-27147	89	30	annualized	annualize	VERB
fcis-27147	89	31	return	return	NOUN
fcis-27147	89	32	,	,	PUNCT
fcis-27147	89	33	the	the	DET
fcis-27147	89	34	effectiveness	effectiveness	NOUN
fcis-27147	89	35	of	of	ADP
fcis-27147	89	36	the	the	DET
fcis-27147	89	37	feedforward	feedforward	ADJ
fcis-27147	89	38	neural	neural	ADJ
fcis-27147	89	39	network	network	NOUN
fcis-27147	89	40	model	model	NOUN
fcis-27147	89	41	was	be	AUX
fcis-27147	89	42	further	far	ADV
fcis-27147	89	43	explored	explore	VERB
fcis-27147	89	44	.	.	PUNCT
fcis-27147	90	1	this	this	DET
fcis-27147	90	2	strategy	strategy	NOUN
fcis-27147	90	3	has	have	AUX
fcis-27147	90	4	performed	perform	VERB
fcis-27147	90	5	well	well	ADV
fcis-27147	90	6	in	in	ADP
fcis-27147	90	7	both	both	CCONJ
fcis-27147	90	8	total	total	ADJ
fcis-27147	90	9	and	and	CCONJ
fcis-27147	90	10	annualized	annualize	VERB
fcis-27147	90	11	returns	return	NOUN
fcis-27147	90	12	,	,	PUNCT
fcis-27147	90	13	and	and	CCONJ
fcis-27147	90	14	has	have	VERB
fcis-27147	90	15	a	a	DET
fcis-27147	90	16	high	high	ADJ
fcis-27147	90	17	sharpe	sharpe	NOUN
fcis-27147	90	18	ratio	ratio	NOUN
fcis-27147	90	19	,	,	PUNCT
fcis-27147	90	20	which	which	PRON
fcis-27147	90	21	proves	prove	VERB
fcis-27147	90	22	the	the	DET
fcis-27147	90	23	effectiveness	effectiveness	NOUN
fcis-27147	90	24	of	of	ADP
fcis-27147	90	25	feedforward	feedforward	ADJ
fcis-27147	90	26	neural	neural	ADJ
fcis-27147	90	27	networks	network	NOUN
fcis-27147	90	28	and	and	CCONJ
fcis-27147	90	29	demonstrates	demonstrate	VERB
fcis-27147	90	30	their	their	PRON
fcis-27147	90	31	potential	potential	NOUN
fcis-27147	90	32	in	in	ADP
fcis-27147	90	33	cross	cross	ADJ
fcis-27147	90	34	-	-	ADJ
fcis-27147	90	35	sectional	sectional	ADJ
fcis-27147	90	36	stock	stock	NOUN
fcis-27147	90	37	selection	selection	NOUN
fcis-27147	90	38	applications	application	NOUN
fcis-27147	90	39	.	.	PUNCT
fcis-27147	91	1	references	reference	NOUN
fcis-27147	91	2	[	[	X
fcis-27147	91	3	1	1	NUM
fcis-27147	91	4	]	]	X
fcis-27147	91	5	cheng	cheng	PROPN
fcis-27147	91	6	k	k	PROPN
fcis-27147	91	7	,	,	PUNCT
fcis-27147	91	8	su	su	PROPN
fcis-27147	91	9	y	y	PROPN
fcis-27147	91	10	,	,	PUNCT
fcis-27147	91	11	guan	guan	PROPN
fcis-27147	91	12	h	h	PROPN
fcis-27147	91	13	,	,	PUNCT
fcis-27147	91	14	et	et	PROPN
fcis-27147	91	15	al.mapping	al.mappe	VERB
fcis-27147	91	16	china	china	PROPN
fcis-27147	91	17	's	's	PART
fcis-27147	91	18	planted	plant	VERB
fcis-27147	91	19	forests	forest	NOUN
fcis-27147	91	20	using	use	VERB
fcis-27147	91	21	high	high	ADJ
fcis-27147	91	22	resolution	resolution	NOUN
fcis-27147	91	23	imagery	imagery	NOUN
fcis-27147	91	24	and	and	CCONJ
fcis-27147	91	25	massive	massive	ADJ
fcis-27147	91	26	amounts	amount	NOUN
fcis-27147	91	27	of	of	ADP
fcis-27147	91	28	crowdsourced	crowdsourced	ADJ
fcis-27147	91	29	samples[j].isprs	samples[j].isprs	PROPN
fcis-27147	91	30	journal	journal	PROPN
fcis-27147	91	31	of	of	ADP
fcis-27147	91	32	photogrammetry	photogrammetry	NOUN
fcis-27147	91	33	and	and	CCONJ
fcis-27147	91	34	remote	remote	ADJ
fcis-27147	91	35	sensing	sensing	NOUN
fcis-27147	91	36	,	,	PUNCT
fcis-27147	91	37	2023	2023	NUM
fcis-27147	91	38	,	,	PUNCT
fcis-27147	91	39	196:356	196:356	PROPN
fcis-27147	91	40	-	-	SYM
fcis-27147	91	41	371.doi:10.1016	371.doi:10.1016	NUM
fcis-27147	91	42	/	/	SYM
fcis-27147	91	43	j.	j.	PROPN
fcis-27147	91	44	isprsjprs.2023.01.005	isprsjprs.2023.01.005	PROPN
fcis-27147	91	45	.	.	PUNCT
fcis-27147	92	1	[	[	X
fcis-27147	92	2	2	2	X
fcis-27147	92	3	]	]	X
fcis-27147	92	4	huang	huang	PROPN
fcis-27147	92	5	d	d	PROPN
fcis-27147	92	6	,	,	PUNCT
fcis-27147	92	7	zhou	zhou	PROPN
fcis-27147	92	8	j	j	PROPN
fcis-27147	92	9	,	,	PUNCT
fcis-27147	92	10	mi	mi	PROPN
fcis-27147	92	11	b	b	PROPN
fcis-27147	92	12	,	,	PUNCT
fcis-27147	92	13	et	et	PROPN
fcis-27147	92	14	al.key	al.key	NOUN
fcis-27147	92	15	-	-	PUNCT
fcis-27147	92	16	based	base	VERB
fcis-27147	92	17	data	datum	NOUN
fcis-27147	92	18	deduplication	deduplication	NOUN
fcis-27147	92	19	via	via	ADP
fcis-27147	92	20	homomorphic	homomorphic	ADJ
fcis-27147	92	21	ntru	ntru	NOUN
fcis-27147	92	22	for	for	ADP
fcis-27147	92	23	internet	internet	NOUN
fcis-27147	92	24	of	of	ADP
fcis-27147	92	25	vehicles	vehicle	NOUN
fcis-27147	92	26	[	[	X
fcis-27147	92	27	j].ieee	j].ieee	NOUN
fcis-27147	92	28	28	28	NUM
fcis-27147	92	29	transactions	transaction	NOUN
fcis-27147	92	30	on	on	ADP
fcis-27147	92	31	vehicular	vehicular	ADJ
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fcis-27147	95	2	.	.	PUNCT
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fcis-27147	96	18	computing	computing	NOUN
fcis-27147	96	19	in	in	ADP
fcis-27147	96	20	healthcare	healthcare	PROPN
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fcis-27147	97	1	[	[	X
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fcis-27147	98	2	data	datum	NOUN
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fcis-27147	98	4	cognitive	cognitive	ADJ
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fcis-27147	98	8	.	.	PUNCT
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fcis-27147	100	18	on	on	ADP
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fcis-27147	100	20	star	star	NOUN
fcis-27147	100	21	graph	graph	NOUN
fcis-27147	100	22	descriptors	descriptor	NOUN
fcis-27147	100	23	using	use	VERB
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fcis-27147	102	7	of	of	ADP
fcis-27147	102	8	the	the	DET
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fcis-27147	102	10	society	society	PROPN
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fcis-27147	103	2	6	6	NUM
fcis-27147	103	3	]	]	PUNCT
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fcis-27147	104	4	.	.	X
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fcis-27147	105	3	]	]	SYM
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fcis-27147	112	2	.	.	PUNCT
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fcis-27147	113	2	.	.	PUNCT
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