id	sid	tid	token	lemma	pos
fcis-19516	1	1	frontiers	frontier	NOUN
fcis-19516	1	2	in	in	ADP
fcis-19516	1	3	computing	computing	NOUN
fcis-19516	1	4	and	and	CCONJ
fcis-19516	1	5	intelligent	intelligent	ADJ
fcis-19516	1	6	systems	system	NOUN
fcis-19516	1	7	issn	issn	VERB
fcis-19516	1	8	:	:	PUNCT
fcis-19516	1	9	2832	2832	NUM
fcis-19516	1	10	-	-	SYM
fcis-19516	1	11	6024	6024	NUM
fcis-19516	1	12	|	|	NOUN
fcis-19516	1	13	vol	vol	NOUN
fcis-19516	1	14	.	.	PROPN
fcis-19516	2	1	7	7	NUM
fcis-19516	2	2	,	,	PUNCT
fcis-19516	2	3	no	no	INTJ
fcis-19516	2	4	.	.	NOUN
fcis-19516	2	5	3	3	NUM
fcis-19516	2	6	,	,	PUNCT
fcis-19516	2	7	2024	2024	NUM
fcis-19516	2	8	49	49	NUM
fcis-19516	2	9	research	research	NOUN
fcis-19516	2	10	on	on	ADP
fcis-19516	2	11	sentiment	sentiment	NOUN
fcis-19516	2	12	analysis	analysis	NOUN
fcis-19516	2	13	of	of	ADP
fcis-19516	2	14	micro‐blog	micro‐blog	PROPN
fcis-19516	2	15	based	base	VERB
fcis-19516	2	16	on	on	ADP
fcis-19516	2	17	attention‐bilstm	attention‐bilstm	PROPN
fcis-19516	2	18	fangxu	fangxu	PROPN
fcis-19516	2	19	yan	yan	PROPN
fcis-19516	2	20	,	,	PUNCT
fcis-19516	3	1	jianhui	jianhui	PROPN
fcis-19516	3	2	wang	wang	PROPN
fcis-19516	3	3	school	school	PROPN
fcis-19516	3	4	of	of	ADP
fcis-19516	3	5	mathematics	mathematics	PROPN
fcis-19516	3	6	and	and	CCONJ
fcis-19516	3	7	systems	system	NOUN
fcis-19516	3	8	science	science	NOUN
fcis-19516	3	9	,	,	PUNCT
fcis-19516	3	10	shenyang	shenyang	PROPN
fcis-19516	3	11	normal	normal	PROPN
fcis-19516	3	12	university	university	PROPN
fcis-19516	3	13	,	,	PUNCT
fcis-19516	3	14	shenyang	shenyang	PROPN
fcis-19516	3	15	liaoning	liaoning	PROPN
fcis-19516	3	16	,	,	PUNCT
fcis-19516	3	17	110034	110034	NUM
fcis-19516	3	18	,	,	PUNCT
fcis-19516	3	19	china	china	PROPN
fcis-19516	3	20	abstract	abstract	NOUN
fcis-19516	3	21	:	:	PUNCT
fcis-19516	3	22	the	the	DET
fcis-19516	3	23	rapid	rapid	ADJ
fcis-19516	3	24	development	development	NOUN
fcis-19516	3	25	of	of	ADP
fcis-19516	3	26	the	the	DET
fcis-19516	3	27	internet	internet	NOUN
fcis-19516	3	28	gives	give	VERB
fcis-19516	3	29	birth	birth	NOUN
fcis-19516	3	30	to	to	ADP
fcis-19516	3	31	massive	massive	ADJ
fcis-19516	3	32	data	datum	NOUN
fcis-19516	3	33	.	.	PUNCT
fcis-19516	4	1	these	these	DET
fcis-19516	4	2	data	datum	NOUN
fcis-19516	4	3	have	have	VERB
fcis-19516	4	4	the	the	DET
fcis-19516	4	5	characteristics	characteristic	NOUN
fcis-19516	4	6	of	of	ADP
fcis-19516	4	7	multiple	multiple	ADJ
fcis-19516	4	8	types	type	NOUN
fcis-19516	4	9	,	,	PUNCT
fcis-19516	4	10	low	low	ADJ
fcis-19516	4	11	density	density	NOUN
fcis-19516	4	12	,	,	PUNCT
fcis-19516	4	13	and	and	CCONJ
fcis-19516	4	14	fast	fast	ADJ
fcis-19516	4	15	transmission	transmission	NOUN
fcis-19516	4	16	speed	speed	NOUN
fcis-19516	4	17	.	.	PUNCT
fcis-19516	5	1	as	as	SCONJ
fcis-19516	5	2	one	one	NUM
fcis-19516	5	3	of	of	ADP
fcis-19516	5	4	the	the	DET
fcis-19516	5	5	products	product	NOUN
fcis-19516	5	6	of	of	ADP
fcis-19516	5	7	the	the	DET
fcis-19516	5	8	era	era	NOUN
fcis-19516	5	9	of	of	ADP
fcis-19516	5	10	big	big	ADJ
fcis-19516	5	11	data	datum	NOUN
fcis-19516	5	12	,	,	PUNCT
fcis-19516	5	13	micro	micro	NOUN
fcis-19516	5	14	-	-	NOUN
fcis-19516	5	15	blog	blog	NOUN
fcis-19516	5	16	provides	provide	VERB
fcis-19516	5	17	users	user	NOUN
fcis-19516	5	18	with	with	ADP
fcis-19516	5	19	a	a	DET
fcis-19516	5	20	highly	highly	ADV
fcis-19516	5	21	interactive	interactive	ADJ
fcis-19516	5	22	platform	platform	NOUN
fcis-19516	5	23	.	.	PUNCT
fcis-19516	6	1	in	in	ADP
fcis-19516	6	2	order	order	NOUN
fcis-19516	6	3	to	to	PART
fcis-19516	6	4	explore	explore	VERB
fcis-19516	6	5	the	the	DET
fcis-19516	6	6	value	value	NOUN
fcis-19516	6	7	and	and	CCONJ
fcis-19516	6	8	sentiment	sentiment	NOUN
fcis-19516	6	9	contained	contain	VERB
fcis-19516	6	10	in	in	ADP
fcis-19516	6	11	micro	micro	ADJ
fcis-19516	6	12	-	-	ADJ
fcis-19516	6	13	blog	blog	ADJ
fcis-19516	6	14	comment	comment	NOUN
fcis-19516	6	15	texts	text	NOUN
fcis-19516	6	16	,	,	PUNCT
fcis-19516	6	17	and	and	CCONJ
fcis-19516	6	18	solve	solve	VERB
fcis-19516	6	19	the	the	DET
fcis-19516	6	20	problem	problem	NOUN
fcis-19516	6	21	of	of	ADP
fcis-19516	6	22	semantic	semantic	ADJ
fcis-19516	6	23	loss	loss	NOUN
fcis-19516	6	24	and	and	CCONJ
fcis-19516	6	25	over	over	ADP
fcis-19516	6	26	-	-	PUNCT
fcis-19516	6	27	reliance	reliance	NOUN
fcis-19516	6	28	on	on	ADP
fcis-19516	6	29	manual	manual	ADJ
fcis-19516	6	30	work	work	NOUN
fcis-19516	6	31	in	in	ADP
fcis-19516	6	32	traditional	traditional	ADJ
fcis-19516	6	33	text	text	NOUN
fcis-19516	6	34	sentiment	sentiment	NOUN
fcis-19516	6	35	analysis	analysis	NOUN
fcis-19516	6	36	,	,	PUNCT
fcis-19516	6	37	this	this	DET
fcis-19516	6	38	paper	paper	NOUN
fcis-19516	6	39	proposes	propose	VERB
fcis-19516	6	40	a	a	DET
fcis-19516	6	41	deep	deep	ADJ
fcis-19516	6	42	learning	learning	NOUN
fcis-19516	6	43	model	model	NOUN
fcis-19516	6	44	based	base	VERB
fcis-19516	6	45	on	on	ADP
fcis-19516	6	46	attention	attention	NOUN
fcis-19516	6	47	-	-	PUNCT
fcis-19516	6	48	bilstm	bilstm	NOUN
fcis-19516	6	49	.	.	PUNCT
fcis-19516	7	1	in	in	ADP
fcis-19516	7	2	the	the	DET
fcis-19516	7	3	embedding	embed	VERB
fcis-19516	7	4	layer	layer	NOUN
fcis-19516	7	5	,	,	PUNCT
fcis-19516	7	6	the	the	DET
fcis-19516	7	7	cbow	cbow	NOUN
fcis-19516	7	8	method	method	NOUN
fcis-19516	7	9	of	of	ADP
fcis-19516	7	10	word2vec	word2vec	X
fcis-19516	7	11	is	be	AUX
fcis-19516	7	12	used	use	VERB
fcis-19516	7	13	to	to	PART
fcis-19516	7	14	transform	transform	VERB
fcis-19516	7	15	the	the	DET
fcis-19516	7	16	text	text	NOUN
fcis-19516	7	17	data	datum	NOUN
fcis-19516	7	18	into	into	ADP
fcis-19516	7	19	word	word	NOUN
fcis-19516	7	20	vectors	vector	NOUN
fcis-19516	7	21	,	,	PUNCT
fcis-19516	7	22	and	and	CCONJ
fcis-19516	7	23	the	the	DET
fcis-19516	7	24	attention	attention	NOUN
fcis-19516	7	25	mechanism	mechanism	NOUN
fcis-19516	7	26	is	be	AUX
fcis-19516	7	27	integrated	integrate	VERB
fcis-19516	7	28	to	to	PART
fcis-19516	7	29	dynamically	dynamically	VERB
fcis-19516	7	30	weight	weight	VERB
fcis-19516	7	31	the	the	DET
fcis-19516	7	32	input	input	NOUN
fcis-19516	7	33	word	word	NOUN
fcis-19516	7	34	vectors	vector	NOUN
fcis-19516	7	35	.	.	PUNCT
fcis-19516	8	1	secondly	secondly	ADV
fcis-19516	8	2	,	,	PUNCT
fcis-19516	8	3	bilstm	bilstm	NOUN
fcis-19516	8	4	is	be	AUX
fcis-19516	8	5	used	use	VERB
fcis-19516	8	6	to	to	PART
fcis-19516	8	7	extract	extract	VERB
fcis-19516	8	8	text	text	NOUN
fcis-19516	8	9	features	feature	NOUN
fcis-19516	8	10	,	,	PUNCT
fcis-19516	8	11	then	then	ADV
fcis-19516	8	12	fuse	fuse	VERB
fcis-19516	8	13	them	they	PRON
fcis-19516	8	14	in	in	ADP
fcis-19516	8	15	concat	concat	NOUN
fcis-19516	8	16	layer	layer	NOUN
fcis-19516	8	17	.	.	PUNCT
fcis-19516	9	1	after	after	ADP
fcis-19516	9	2	that	that	SCONJ
fcis-19516	9	3	the	the	DET
fcis-19516	9	4	classification	classification	NOUN
fcis-19516	9	5	is	be	AUX
fcis-19516	9	6	realized	realize	VERB
fcis-19516	9	7	by	by	ADP
fcis-19516	9	8	softmax	softmax	NOUN
fcis-19516	9	9	whose	whose	DET
fcis-19516	9	10	results	result	NOUN
fcis-19516	9	11	of	of	ADP
fcis-19516	9	12	the	the	DET
fcis-19516	9	13	output	output	NOUN
fcis-19516	9	14	text	text	NOUN
fcis-19516	9	15	are	be	AUX
fcis-19516	9	16	positive	positive	ADJ
fcis-19516	9	17	or	or	CCONJ
fcis-19516	9	18	negative	negative	ADJ
fcis-19516	9	19	.	.	PUNCT
fcis-19516	10	1	finally	finally	ADV
fcis-19516	10	2	,	,	PUNCT
fcis-19516	10	3	by	by	ADP
fcis-19516	10	4	comparing	compare	VERB
fcis-19516	10	5	with	with	ADP
fcis-19516	10	6	textcnn	textcnn	PROPN
fcis-19516	10	7	,	,	PUNCT
fcis-19516	10	8	lstm	lstm	NOUN
fcis-19516	10	9	and	and	CCONJ
fcis-19516	10	10	bilstm	bilstm	NOUN
fcis-19516	10	11	,	,	PUNCT
fcis-19516	10	12	the	the	DET
fcis-19516	10	13	result	result	NOUN
fcis-19516	10	14	shows	show	VERB
fcis-19516	10	15	that	that	SCONJ
fcis-19516	10	16	the	the	DET
fcis-19516	10	17	attention	attention	NOUN
fcis-19516	10	18	-	-	PUNCT
fcis-19516	10	19	bilstm	bilstm	NOUN
fcis-19516	10	20	model	model	NOUN
fcis-19516	10	21	does	do	AUX
fcis-19516	10	22	have	have	VERB
fcis-19516	10	23	better	well	ADJ
fcis-19516	10	24	classification	classification	NOUN
fcis-19516	10	25	effect	effect	NOUN
fcis-19516	10	26	,	,	PUNCT
fcis-19516	10	27	strong	strong	ADJ
fcis-19516	10	28	generalization	generalization	NOUN
fcis-19516	10	29	and	and	CCONJ
fcis-19516	10	30	practicability	practicability	NOUN
fcis-19516	10	31	.	.	PUNCT
fcis-19516	11	1	keywords	keyword	NOUN
fcis-19516	11	2	:	:	PUNCT
fcis-19516	11	3	sentiment	sentiment	NOUN
fcis-19516	11	4	analysis	analysis	NOUN
fcis-19516	11	5	;	;	PUNCT
fcis-19516	11	6	bilstm	bilstm	NOUN
fcis-19516	11	7	;	;	PUNCT
fcis-19516	11	8	attention	attention	NOUN
fcis-19516	11	9	mechanism	mechanism	NOUN
fcis-19516	11	10	.	.	PUNCT
fcis-19516	12	1	1	1	X
fcis-19516	12	2	.	.	X
fcis-19516	12	3	introduction	introduction	NOUN
fcis-19516	12	4	according	accord	VERB
fcis-19516	12	5	to	to	ADP
fcis-19516	12	6	the	the	DET
fcis-19516	12	7	latest	late	ADJ
fcis-19516	12	8	2023	2023	NUM
fcis-19516	12	9	financial	financial	ADJ
fcis-19516	12	10	report	report	NOUN
fcis-19516	12	11	released	release	VERB
fcis-19516	12	12	by	by	ADP
fcis-19516	12	13	micro	micro	NOUN
fcis-19516	12	14	-	-	NOUN
fcis-19516	12	15	blog	blog	NOUN
fcis-19516	12	16	,	,	PUNCT
fcis-19516	12	17	at	at	ADP
fcis-19516	12	18	the	the	DET
fcis-19516	12	19	end	end	NOUN
fcis-19516	12	20	of	of	ADP
fcis-19516	12	21	the	the	DET
fcis-19516	12	22	third	third	ADJ
fcis-19516	12	23	quarter	quarter	NOUN
fcis-19516	12	24	,	,	PUNCT
fcis-19516	12	25	the	the	DET
fcis-19516	12	26	number	number	NOUN
fcis-19516	12	27	of	of	ADP
fcis-19516	12	28	monthly	monthly	ADJ
fcis-19516	12	29	active	active	ADJ
fcis-19516	12	30	users	user	NOUN
fcis-19516	12	31	of	of	ADP
fcis-19516	12	32	micro	micro	NOUN
fcis-19516	12	33	-	-	NOUN
fcis-19516	12	34	blog	blog	NOUN
fcis-19516	12	35	reached	reach	VERB
fcis-19516	12	36	605	605	NUM
fcis-19516	12	37	million	million	NUM
fcis-19516	12	38	,	,	PUNCT
fcis-19516	12	39	and	and	CCONJ
fcis-19516	12	40	daily	daily	ADV
fcis-19516	12	41	active	active	ADJ
fcis-19516	12	42	users	user	NOUN
fcis-19516	12	43	reached	reach	VERB
fcis-19516	12	44	260	260	NUM
fcis-19516	12	45	million	million	NUM
fcis-19516	12	46	.	.	PUNCT
fcis-19516	13	1	micro	micro	NOUN
fcis-19516	13	2	-	-	NOUN
fcis-19516	13	3	blog	blog	NOUN
fcis-19516	13	4	provides	provide	VERB
fcis-19516	13	5	a	a	DET
fcis-19516	13	6	simple	simple	ADJ
fcis-19516	13	7	way	way	NOUN
fcis-19516	13	8	for	for	SCONJ
fcis-19516	13	9	users	user	NOUN
fcis-19516	13	10	to	to	PART
fcis-19516	13	11	publish	publish	VERB
fcis-19516	13	12	content	content	NOUN
fcis-19516	13	13	openly	openly	ADV
fcis-19516	13	14	and	and	CCONJ
fcis-19516	13	15	in	in	ADP
fcis-19516	13	16	real	real	ADJ
fcis-19516	13	17	time	time	NOUN
fcis-19516	13	18	,	,	PUNCT
fcis-19516	13	19	which	which	PRON
fcis-19516	13	20	makes	make	VERB
fcis-19516	13	21	the	the	DET
fcis-19516	13	22	interaction	interaction	NOUN
fcis-19516	13	23	among	among	ADP
fcis-19516	13	24	users	user	NOUN
fcis-19516	13	25	closely	closely	ADV
fcis-19516	13	26	linked	link	VERB
fcis-19516	13	27	.	.	PUNCT
fcis-19516	14	1	it	it	PRON
fcis-19516	14	2	has	have	AUX
fcis-19516	14	3	become	become	VERB
fcis-19516	14	4	one	one	NUM
fcis-19516	14	5	of	of	ADP
fcis-19516	14	6	the	the	DET
fcis-19516	14	7	main	main	ADJ
fcis-19516	14	8	channels	channel	NOUN
fcis-19516	14	9	for	for	ADP
fcis-19516	14	10	the	the	DET
fcis-19516	14	11	public	public	NOUN
fcis-19516	14	12	to	to	PART
fcis-19516	14	13	obtain	obtain	VERB
fcis-19516	14	14	information	information	NOUN
fcis-19516	14	15	,	,	PUNCT
fcis-19516	14	16	understand	understand	VERB
fcis-19516	14	17	current	current	ADJ
fcis-19516	14	18	affairs	affair	NOUN
fcis-19516	14	19	and	and	CCONJ
fcis-19516	14	20	express	express	VERB
fcis-19516	14	21	their	their	PRON
fcis-19516	14	22	views	view	NOUN
fcis-19516	14	23	[	[	X
fcis-19516	14	24	1	1	NUM
fcis-19516	14	25	]	]	PUNCT
fcis-19516	14	26	.	.	PUNCT
fcis-19516	15	1	such	such	ADJ
fcis-19516	15	2	massive	massive	ADJ
fcis-19516	15	3	comment	comment	NOUN
fcis-19516	15	4	data	datum	NOUN
fcis-19516	15	5	often	often	ADV
fcis-19516	15	6	contains	contain	VERB
fcis-19516	15	7	a	a	DET
fcis-19516	15	8	strong	strong	ADJ
fcis-19516	15	9	tendency	tendency	NOUN
fcis-19516	15	10	and	and	CCONJ
fcis-19516	15	11	subjectivity	subjectivity	NOUN
fcis-19516	15	12	.	.	PUNCT
fcis-19516	16	1	therefore	therefore	ADV
fcis-19516	16	2	,	,	PUNCT
fcis-19516	16	3	it	it	PRON
fcis-19516	16	4	is	be	AUX
fcis-19516	16	5	of	of	ADP
fcis-19516	16	6	great	great	ADJ
fcis-19516	16	7	significance	significance	NOUN
fcis-19516	16	8	to	to	PART
fcis-19516	16	9	conduct	conduct	VERB
fcis-19516	16	10	sentiment	sentiment	NOUN
fcis-19516	16	11	analysis	analysis	NOUN
fcis-19516	16	12	on	on	ADP
fcis-19516	16	13	hot	hot	ADJ
fcis-19516	16	14	search	search	NOUN
fcis-19516	16	15	comments	comment	NOUN
fcis-19516	16	16	in	in	ADP
fcis-19516	16	17	social	social	ADJ
fcis-19516	16	18	media	medium	NOUN
fcis-19516	16	19	.	.	PUNCT
fcis-19516	17	1	at	at	ADP
fcis-19516	17	2	present	present	ADJ
fcis-19516	17	3	,	,	PUNCT
fcis-19516	17	4	there	there	PRON
fcis-19516	17	5	are	be	VERB
fcis-19516	17	6	three	three	NUM
fcis-19516	17	7	mainstream	mainstream	ADJ
fcis-19516	17	8	methods	method	NOUN
fcis-19516	17	9	to	to	PART
fcis-19516	17	10	realize	realize	VERB
fcis-19516	17	11	the	the	DET
fcis-19516	17	12	sentiment	sentiment	NOUN
fcis-19516	17	13	analysis	analysis	NOUN
fcis-19516	17	14	of	of	ADP
fcis-19516	17	15	text	text	NOUN
fcis-19516	17	16	.	.	PUNCT
fcis-19516	18	1	sentiment	sentiment	PROPN
fcis-19516	18	2	dictionary	dictionary	PROPN
fcis-19516	18	3	calculates	calculate	VERB
fcis-19516	18	4	the	the	DET
fcis-19516	18	5	emotional	emotional	ADJ
fcis-19516	18	6	score	score	NOUN
fcis-19516	18	7	based	base	VERB
fcis-19516	18	8	on	on	ADP
fcis-19516	18	9	some	some	DET
fcis-19516	18	10	specific	specific	ADJ
fcis-19516	18	11	rules	rule	NOUN
fcis-19516	18	12	and	and	CCONJ
fcis-19516	18	13	determine	determine	VERB
fcis-19516	18	14	the	the	DET
fcis-19516	18	15	polarity	polarity	NOUN
fcis-19516	18	16	.	.	PUNCT
fcis-19516	19	1	miao	miao	PROPN
fcis-19516	19	2	proposed	propose	VERB
fcis-19516	19	3	the	the	DET
fcis-19516	19	4	concept	concept	NOUN
fcis-19516	19	5	of	of	ADP
fcis-19516	19	6	fourtuple	fourtuple	NOUN
fcis-19516	19	7	extraction	extraction	NOUN
fcis-19516	19	8	,	,	PUNCT
fcis-19516	19	9	so	so	SCONJ
fcis-19516	19	10	as	as	SCONJ
fcis-19516	19	11	to	to	PART
fcis-19516	19	12	realize	realize	VERB
fcis-19516	19	13	the	the	DET
fcis-19516	19	14	analysis	analysis	NOUN
fcis-19516	19	15	of	of	ADP
fcis-19516	19	16	feature	feature	NOUN
fcis-19516	19	17	level	level	NOUN
fcis-19516	19	18	[	[	X
fcis-19516	19	19	2	2	NUM
fcis-19516	19	20	]	]	PUNCT
fcis-19516	19	21	.	.	PUNCT
fcis-19516	20	1	narayanan	narayanan	PROPN
fcis-19516	20	2	proposed	propose	VERB
fcis-19516	20	3	a	a	DET
fcis-19516	20	4	classification	classification	NOUN
fcis-19516	20	5	method	method	NOUN
fcis-19516	20	6	based	base	VERB
fcis-19516	20	7	on	on	ADP
fcis-19516	20	8	clauses	clause	NOUN
fcis-19516	20	9	,	,	PUNCT
fcis-19516	20	10	result	result	NOUN
fcis-19516	20	11	sentences	sentence	NOUN
fcis-19516	20	12	and	and	CCONJ
fcis-19516	20	13	the	the	DET
fcis-19516	20	14	whole	whole	ADJ
fcis-19516	20	15	sentence	sentence	NOUN
fcis-19516	20	16	,	,	PUNCT
fcis-19516	20	17	and	and	CCONJ
fcis-19516	20	18	the	the	DET
fcis-19516	20	19	effect	effect	NOUN
fcis-19516	20	20	is	be	AUX
fcis-19516	20	21	remarkable	remarkable	ADJ
fcis-19516	21	1	[	[	X
fcis-19516	21	2	3	3	NUM
fcis-19516	21	3	]	]	PUNCT
fcis-19516	21	4	.	.	PUNCT
fcis-19516	22	1	machine	machine	NOUN
fcis-19516	22	2	learning	learning	NOUN
fcis-19516	22	3	uses	use	VERB
fcis-19516	22	4	sample	sample	NOUN
fcis-19516	22	5	data	datum	NOUN
fcis-19516	22	6	to	to	PART
fcis-19516	22	7	train	train	VERB
fcis-19516	22	8	the	the	DET
fcis-19516	22	9	model	model	NOUN
fcis-19516	22	10	in	in	ADP
fcis-19516	22	11	order	order	NOUN
fcis-19516	22	12	to	to	PART
fcis-19516	22	13	complete	complete	VERB
fcis-19516	22	14	the	the	DET
fcis-19516	22	15	prediction	prediction	NOUN
fcis-19516	22	16	.	.	PUNCT
fcis-19516	23	1	pang	pang	NOUN
fcis-19516	23	2	proposed	propose	VERB
fcis-19516	23	3	a	a	DET
fcis-19516	23	4	machine	machine	NOUN
fcis-19516	23	5	learning	learning	NOUN
fcis-19516	23	6	method	method	NOUN
fcis-19516	23	7	to	to	PART
fcis-19516	23	8	classify	classify	VERB
fcis-19516	23	9	the	the	DET
fcis-19516	23	10	emotional	emotional	ADJ
fcis-19516	23	11	polarity	polarity	NOUN
fcis-19516	23	12	,	,	PUNCT
fcis-19516	23	13	which	which	PRON
fcis-19516	23	14	is	be	AUX
fcis-19516	23	15	divided	divide	VERB
fcis-19516	23	16	into	into	ADP
fcis-19516	23	17	positive	positive	ADJ
fcis-19516	23	18	and	and	CCONJ
fcis-19516	23	19	negative	negative	ADJ
fcis-19516	23	20	[	[	X
fcis-19516	23	21	4	4	NUM
fcis-19516	23	22	]	]	PUNCT
fcis-19516	23	23	.	.	PUNCT
fcis-19516	24	1	on	on	ADP
fcis-19516	24	2	this	this	DET
fcis-19516	24	3	basis	basis	NOUN
fcis-19516	24	4	,	,	PUNCT
fcis-19516	24	5	whitelaw	whitelaw	PROPN
fcis-19516	24	6	uses	use	VERB
fcis-19516	24	7	the	the	DET
fcis-19516	24	8	vector	vector	NOUN
fcis-19516	24	9	space	space	NOUN
fcis-19516	24	10	model	model	NOUN
fcis-19516	24	11	to	to	PART
fcis-19516	24	12	represent	represent	VERB
fcis-19516	24	13	the	the	DET
fcis-19516	24	14	text	text	NOUN
fcis-19516	24	15	,	,	PUNCT
fcis-19516	24	16	which	which	PRON
fcis-19516	24	17	further	far	ADV
fcis-19516	24	18	improves	improve	VERB
fcis-19516	24	19	the	the	DET
fcis-19516	24	20	accuracy	accuracy	NOUN
fcis-19516	25	1	[	[	X
fcis-19516	25	2	5	5	NUM
fcis-19516	25	3	]	]	PUNCT
fcis-19516	25	4	.	.	PUNCT
fcis-19516	26	1	deep	deep	ADJ
fcis-19516	26	2	learning	learning	NOUN
fcis-19516	26	3	completes	complete	VERB
fcis-19516	26	4	the	the	DET
fcis-19516	26	5	sentiment	sentiment	NOUN
fcis-19516	26	6	analysis	analysis	NOUN
fcis-19516	26	7	of	of	ADP
fcis-19516	26	8	the	the	DET
fcis-19516	26	9	text	text	NOUN
fcis-19516	26	10	through	through	ADP
fcis-19516	26	11	a	a	DET
fcis-19516	26	12	hybrid	hybrid	ADJ
fcis-19516	26	13	neural	neural	ADJ
fcis-19516	26	14	network	network	NOUN
fcis-19516	26	15	and	and	CCONJ
fcis-19516	26	16	a	a	DET
fcis-19516	26	17	pre	pre	ADJ
fcis-19516	26	18	-	-	ADJ
fcis-19516	26	19	trained	train	VERB
fcis-19516	26	20	model	model	NOUN
fcis-19516	26	21	.	.	PUNCT
fcis-19516	27	1	in	in	ADP
fcis-19516	27	2	1990	1990	NUM
fcis-19516	27	3	,	,	PUNCT
fcis-19516	27	4	elman	elman	PROPN
fcis-19516	27	5	proposed	propose	VERB
fcis-19516	27	6	rnn	rnn	VERB
fcis-19516	27	7	recurrent	recurrent	ADJ
fcis-19516	27	8	neural	neural	ADJ
fcis-19516	27	9	network	network	NOUN
fcis-19516	27	10	for	for	ADP
fcis-19516	27	11	processing	processing	NOUN
fcis-19516	27	12	sequence	sequence	NOUN
fcis-19516	27	13	data	datum	NOUN
fcis-19516	28	1	[	[	X
fcis-19516	28	2	6	6	NUM
fcis-19516	28	3	]	]	PUNCT
fcis-19516	28	4	.	.	PUNCT
fcis-19516	29	1	vaswani	vaswani	PROPN
fcis-19516	29	2	proposed	propose	VERB
fcis-19516	29	3	a	a	DET
fcis-19516	29	4	transformer	transformer	ADJ
fcis-19516	29	5	architecture	architecture	NOUN
fcis-19516	29	6	based	base	VERB
fcis-19516	29	7	entirely	entirely	ADV
fcis-19516	29	8	on	on	ADP
fcis-19516	29	9	the	the	DET
fcis-19516	29	10	multi	multi	ADJ
fcis-19516	29	11	-	-	ADJ
fcis-19516	29	12	headed	headed	ADJ
fcis-19516	29	13	attention	attention	NOUN
fcis-19516	29	14	mechanism	mechanism	NOUN
fcis-19516	29	15	,	,	PUNCT
fcis-19516	29	16	and	and	CCONJ
fcis-19516	29	17	for	for	ADP
fcis-19516	29	18	the	the	DET
fcis-19516	29	19	first	first	ADJ
fcis-19516	29	20	time	time	NOUN
fcis-19516	29	21	proposed	propose	VERB
fcis-19516	29	22	the	the	DET
fcis-19516	29	23	attention	attention	NOUN
fcis-19516	29	24	mechanism	mechanism	NOUN
fcis-19516	29	25	[	[	X
fcis-19516	29	26	7	7	NUM
fcis-19516	29	27	]	]	PUNCT
fcis-19516	29	28	.	.	PUNCT
fcis-19516	30	1	according	accord	VERB
fcis-19516	30	2	to	to	ADP
fcis-19516	30	3	the	the	DET
fcis-19516	30	4	experience	experience	NOUN
fcis-19516	30	5	above	above	ADV
fcis-19516	30	6	,	,	PUNCT
fcis-19516	30	7	this	this	DET
fcis-19516	30	8	paper	paper	NOUN
fcis-19516	30	9	proposes	propose	VERB
fcis-19516	30	10	a	a	DET
fcis-19516	30	11	sentiment	sentiment	NOUN
fcis-19516	30	12	analysis	analysis	NOUN
fcis-19516	30	13	model	model	NOUN
fcis-19516	30	14	of	of	ADP
fcis-19516	30	15	micro	micro	NOUN
fcis-19516	30	16	-	-	NOUN
fcis-19516	30	17	blog	blog	NOUN
fcis-19516	30	18	based	base	VERB
fcis-19516	30	19	on	on	ADP
fcis-19516	30	20	attentionbilstm	attentionbilstm	NOUN
fcis-19516	30	21	.	.	PUNCT
fcis-19516	31	1	the	the	DET
fcis-19516	31	2	experimental	experimental	ADJ
fcis-19516	31	3	results	result	NOUN
fcis-19516	31	4	show	show	VERB
fcis-19516	31	5	that	that	SCONJ
fcis-19516	31	6	compared	compare	VERB
fcis-19516	31	7	with	with	ADP
fcis-19516	31	8	the	the	DET
fcis-19516	31	9	above	above	ADJ
fcis-19516	31	10	similar	similar	ADJ
fcis-19516	31	11	text	text	NOUN
fcis-19516	31	12	experiments	experiment	NOUN
fcis-19516	31	13	,	,	PUNCT
fcis-19516	31	14	this	this	DET
fcis-19516	31	15	model	model	NOUN
fcis-19516	31	16	does	do	AUX
fcis-19516	31	17	improve	improve	VERB
fcis-19516	31	18	the	the	DET
fcis-19516	31	19	accuracy	accuracy	NOUN
fcis-19516	31	20	of	of	ADP
fcis-19516	31	21	text	text	NOUN
fcis-19516	31	22	emotion	emotion	NOUN
fcis-19516	31	23	recognition	recognition	NOUN
fcis-19516	31	24	.	.	PUNCT
fcis-19516	32	1	2	2	X
fcis-19516	32	2	.	.	X
fcis-19516	32	3	model	model	NOUN
fcis-19516	32	4	methodology	methodology	NOUN
fcis-19516	32	5	the	the	DET
fcis-19516	32	6	overall	overall	ADJ
fcis-19516	32	7	structure	structure	NOUN
fcis-19516	32	8	of	of	ADP
fcis-19516	32	9	the	the	DET
fcis-19516	32	10	model	model	NOUN
fcis-19516	32	11	is	be	AUX
fcis-19516	32	12	shown	show	VERB
fcis-19516	32	13	in	in	ADP
fcis-19516	32	14	fig.1	fig.1	PROPN
fcis-19516	32	15	.	.	PUNCT
fcis-19516	33	1	the	the	DET
fcis-19516	33	2	model	model	NOUN
fcis-19516	33	3	is	be	AUX
fcis-19516	33	4	mainly	mainly	ADV
fcis-19516	33	5	consist	consist	VERB
fcis-19516	33	6	of	of	ADP
fcis-19516	33	7	embedding	embed	VERB
fcis-19516	33	8	layer	layer	NOUN
fcis-19516	33	9	,	,	PUNCT
fcis-19516	33	10	attention	attention	NOUN
fcis-19516	33	11	layer	layer	NOUN
fcis-19516	33	12	,	,	PUNCT
fcis-19516	33	13	bilstm	bilstm	NOUN
fcis-19516	33	14	,	,	PUNCT
fcis-19516	33	15	and	and	CCONJ
fcis-19516	33	16	softmax	softmax	ADJ
fcis-19516	33	17	layer	layer	NOUN
fcis-19516	33	18	.	.	PUNCT
fcis-19516	34	1	each	each	DET
fcis-19516	34	2	level	level	NOUN
fcis-19516	34	3	is	be	AUX
fcis-19516	34	4	described	describe	VERB
fcis-19516	34	5	in	in	ADP
fcis-19516	34	6	detail	detail	NOUN
fcis-19516	34	7	below	below	ADV
fcis-19516	34	8	.	.	PUNCT
fcis-19516	35	1	2.1	2.1	NUM
fcis-19516	35	2	.	.	PUNCT
fcis-19516	36	1	embedding	embed	VERB
fcis-19516	36	2	in	in	ADP
fcis-19516	36	3	embedding	embed	VERB
fcis-19516	36	4	layer	layer	NOUN
fcis-19516	36	5	,	,	PUNCT
fcis-19516	36	6	we	we	PRON
fcis-19516	36	7	mainly	mainly	ADV
fcis-19516	36	8	use	use	VERB
fcis-19516	36	9	word2vec	word2vec	X
fcis-19516	36	10	to	to	PART
fcis-19516	36	11	process	process	VERB
fcis-19516	36	12	comment	comment	NOUN
fcis-19516	36	13	data	datum	NOUN
fcis-19516	36	14	,	,	PUNCT
fcis-19516	36	15	which	which	PRON
fcis-19516	36	16	could	could	AUX
fcis-19516	36	17	be	be	AUX
fcis-19516	36	18	transformed	transform	VERB
fcis-19516	36	19	into	into	ADP
fcis-19516	36	20	vectors	vector	NOUN
fcis-19516	36	21	in	in	ADP
fcis-19516	36	22	order	order	NOUN
fcis-19516	36	23	to	to	PART
fcis-19516	36	24	raise	raise	VERB
fcis-19516	36	25	the	the	DET
fcis-19516	36	26	dimension	dimension	NOUN
fcis-19516	36	27	.	.	PUNCT
fcis-19516	37	1	cbow	cbow	VERB
fcis-19516	37	2	(	(	PUNCT
fcis-19516	37	3	continuous	continuous	ADJ
fcis-19516	37	4	bag	bag	NOUN
fcis-19516	37	5	of	of	ADP
fcis-19516	37	6	words	word	NOUN
fcis-19516	37	7	)	)	PUNCT
fcis-19516	37	8	,	,	PUNCT
fcis-19516	37	9	one	one	NUM
fcis-19516	37	10	of	of	ADP
fcis-19516	37	11	the	the	DET
fcis-19516	37	12	methods	method	NOUN
fcis-19516	37	13	in	in	ADP
fcis-19516	37	14	word2vec	word2vec	PROPN
fcis-19516	37	15	,	,	PUNCT
fcis-19516	37	16	is	be	AUX
fcis-19516	37	17	used	use	VERB
fcis-19516	37	18	to	to	PART
fcis-19516	37	19	arrange	arrange	VERB
fcis-19516	37	20	the	the	DET
fcis-19516	37	21	context	context	NOUN
fcis-19516	37	22	words	word	NOUN
fcis-19516	37	23	corresponding	correspond	VERB
fcis-19516	37	24	to	to	ADP
fcis-19516	37	25	the	the	DET
fcis-19516	37	26	central	central	ADJ
fcis-19516	37	27	word	word	NOUN
fcis-19516	37	28	in	in	ADP
fcis-19516	37	29	order	order	NOUN
fcis-19516	37	30	,	,	PUNCT
fcis-19516	37	31	then	then	ADV
fcis-19516	37	32	project	project	VERB
fcis-19516	37	33	the	the	DET
fcis-19516	37	34	context	context	NOUN
fcis-19516	37	35	words	word	NOUN
fcis-19516	37	36	in	in	ADP
fcis-19516	37	37	the	the	DET
fcis-19516	37	38	selected	select	VERB
fcis-19516	37	39	window	window	NOUN
fcis-19516	37	40	to	to	ADP
fcis-19516	37	41	the	the	DET
fcis-19516	37	42	same	same	ADJ
fcis-19516	37	43	position	position	NOUN
fcis-19516	37	44	,	,	PUNCT
fcis-19516	37	45	and	and	CCONJ
fcis-19516	37	46	average	average	VERB
fcis-19516	37	47	the	the	DET
fcis-19516	37	48	vector	vector	NOUN
fcis-19516	37	49	.	.	PUNCT
fcis-19516	38	1	the	the	DET
fcis-19516	38	2	output	output	NOUN
fcis-19516	38	3	result	result	NOUN
fcis-19516	38	4	is	be	AUX
fcis-19516	38	5	the	the	DET
fcis-19516	38	6	word	word	NOUN
fcis-19516	38	7	vector	vector	NOUN
fcis-19516	38	8	of	of	ADP
fcis-19516	38	9	the	the	DET
fcis-19516	38	10	central	central	ADJ
fcis-19516	38	11	word	word	NOUN
fcis-19516	38	12	,	,	PUNCT
fcis-19516	38	13	which	which	PRON
fcis-19516	38	14	is	be	AUX
fcis-19516	38	15	represented	represent	VERB
fcis-19516	38	16	as	as	ADP
fcis-19516	38	17	,	,	PUNCT
fcis-19516	38	18	,	,	PUNCT
fcis-19516	38	19	⋯	⋯	PROPN
fcis-19516	38	20	and	and	CCONJ
fcis-19516	38	21	input	input	NOUN
fcis-19516	38	22	to	to	ADP
fcis-19516	38	23	the	the	DET
fcis-19516	38	24	attention	attention	NOUN
fcis-19516	38	25	layer	layer	NOUN
fcis-19516	38	26	.	.	PUNCT
fcis-19516	39	1	2.2	2.2	NUM
fcis-19516	39	2	.	.	PUNCT
fcis-19516	39	3	attention	attention	NOUN
fcis-19516	39	4	layer	layer	NOUN
fcis-19516	39	5	the	the	DET
fcis-19516	39	6	core	core	NOUN
fcis-19516	39	7	of	of	ADP
fcis-19516	39	8	the	the	DET
fcis-19516	39	9	attention	attention	NOUN
fcis-19516	39	10	layer	layer	NOUN
fcis-19516	39	11	is	be	AUX
fcis-19516	39	12	the	the	DET
fcis-19516	39	13	attention	attention	NOUN
fcis-19516	39	14	mechanism	mechanism	NOUN
fcis-19516	39	15	,	,	PUNCT
fcis-19516	39	16	which	which	PRON
fcis-19516	39	17	performs	perform	VERB
fcis-19516	39	18	selective	selective	ADJ
fcis-19516	39	19	key	key	ADJ
fcis-19516	39	20	information	information	NOUN
fcis-19516	39	21	processing	processing	NOUN
fcis-19516	39	22	by	by	ADP
fcis-19516	39	23	imitating	imitate	VERB
fcis-19516	39	24	the	the	DET
fcis-19516	39	25	working	work	VERB
fcis-19516	39	26	principle	principle	NOUN
fcis-19516	39	27	of	of	ADP
fcis-19516	39	28	the	the	DET
fcis-19516	39	29	human	human	ADJ
fcis-19516	39	30	brain	brain	NOUN
fcis-19516	39	31	.	.	PUNCT
fcis-19516	40	1	furthermore	furthermore	ADV
fcis-19516	40	2	,	,	PUNCT
fcis-19516	40	3	it	it	PRON
fcis-19516	40	4	can	can	AUX
fcis-19516	40	5	give	give	VERB
fcis-19516	40	6	higher	high	ADJ
fcis-19516	40	7	weights	weight	NOUN
fcis-19516	40	8	to	to	ADP
fcis-19516	40	9	words	word	NOUN
fcis-19516	40	10	with	with	ADP
fcis-19516	40	11	greater	great	ADJ
fcis-19516	40	12	importance	importance	NOUN
fcis-19516	40	13	.	.	PUNCT
fcis-19516	41	1	the	the	DET
fcis-19516	41	2	input	input	NOUN
fcis-19516	41	3	vector	vector	NOUN
fcis-19516	41	4	,	,	PUNCT
fcis-19516	41	5	,	,	PUNCT
fcis-19516	41	6	⋯	⋯	PROPN
fcis-19516	41	7	,	,	PUNCT
fcis-19516	41	8	corresponds	correspond	VERB
fcis-19516	41	9	to	to	ADP
fcis-19516	41	10	,	,	PUNCT
fcis-19516	41	11	,	,	PUNCT
fcis-19516	41	12	.	.	PUNCT
fcis-19516	42	1	firstly	firstly	ADV
fcis-19516	42	2	,	,	PUNCT
fcis-19516	42	3	calculate	calculate	VERB
fcis-19516	42	4	the	the	DET
fcis-19516	42	5	similarity	similarity	NOUN
fcis-19516	42	6	for	for	ADP
fcis-19516	42	7	each	each	DET
fcis-19516	42	8	input	input	NOUN
fcis-19516	42	9	vector	vector	NOUN
fcis-19516	42	10	by	by	ADP
fcis-19516	42	11	multiplying	multiply	VERB
fcis-19516	42	12	and	and	CCONJ
fcis-19516	42	13	.	.	PUNCT
fcis-19516	43	1	then	then	ADV
fcis-19516	43	2	,	,	PUNCT
fcis-19516	43	3	the	the	DET
fcis-19516	43	4	similarity	similarity	NOUN
fcis-19516	43	5	is	be	AUX
fcis-19516	43	6	converted	convert	VERB
fcis-19516	43	7	numerically	numerically	ADV
fcis-19516	43	8	by	by	ADP
fcis-19516	43	9	softmax	softmax	NOUN
fcis-19516	43	10	function	function	NOUN
fcis-19516	43	11	,	,	PUNCT
fcis-19516	43	12	which	which	PRON
fcis-19516	43	13	means	mean	VERB
fcis-19516	43	14	to	to	PART
fcis-19516	43	15	normalize	normalize	VERB
fcis-19516	43	16	the	the	DET
fcis-19516	43	17	similarity	similarity	NOUN
fcis-19516	43	18	and	and	CCONJ
fcis-19516	43	19	reduce	reduce	VERB
fcis-19516	43	20	the	the	DET
fcis-19516	43	21	amount	amount	NOUN
fcis-19516	43	22	of	of	ADP
fcis-19516	43	23	calculation	calculation	NOUN
fcis-19516	43	24	to	to	ADP
fcis-19516	43	25	a	a	DET
fcis-19516	43	26	certain	certain	ADJ
fcis-19516	43	27	content	content	NOUN
fcis-19516	43	28	[	[	X
fcis-19516	43	29	8	8	NUM
fcis-19516	43	30	]	]	PUNCT
fcis-19516	43	31	.	.	PUNCT
fcis-19516	44	1	after	after	ADP
fcis-19516	44	2	normalization	normalization	NOUN
fcis-19516	44	3	,	,	PUNCT
fcis-19516	44	4	multiply	multiply	VERB
fcis-19516	44	5	the	the	DET
fcis-19516	44	6	similarity	similarity	NOUN
fcis-19516	44	7	score	score	NOUN
fcis-19516	44	8	by	by	ADP
fcis-19516	44	9	.	.	PUNCT
fcis-19516	45	1	finally	finally	ADV
fcis-19516	45	2	,	,	PUNCT
fcis-19516	45	3	the	the	DET
fcis-19516	45	4	obtained	obtain	VERB
fcis-19516	45	5	result	result	NOUN
fcis-19516	45	6	can	can	AUX
fcis-19516	45	7	be	be	AUX
fcis-19516	45	8	calculated	calculate	VERB
fcis-19516	45	9	according	accord	VERB
fcis-19516	45	10	to	to	ADP
fcis-19516	45	11	equation	equation	NOUN
fcis-19516	45	12	(	(	PUNCT
fcis-19516	45	13	2	2	NUM
fcis-19516	45	14	)	)	PUNCT
fcis-19516	45	15	in	in	ADP
fcis-19516	45	16	which	which	PRON
fcis-19516	45	17	represents	represent	VERB
fcis-19516	45	18	the	the	DET
fcis-19516	45	19	dimension	dimension	NOUN
fcis-19516	45	20	of	of	ADP
fcis-19516	45	21	vector	vector	NOUN
fcis-19516	45	22	.	.	PUNCT
fcis-19516	46	1	,	,	PUNCT
fcis-19516	46	2	,	,	PUNCT
fcis-19516	46	3	∙	∙	PROPN
fcis-19516	46	4	(	(	PUNCT
fcis-19516	46	5	1	1	NUM
fcis-19516	46	6	)	)	PUNCT
fcis-19516	46	7	50	50	NUM
fcis-19516	46	8	fig	fig	NOUN
fcis-19516	46	9	1	1	NUM
fcis-19516	46	10	.	.	PUNCT
fcis-19516	46	11	overall	overall	ADJ
fcis-19516	46	12	structure	structure	NOUN
fcis-19516	46	13	of	of	ADP
fcis-19516	46	14	the	the	DET
fcis-19516	46	15	model	model	NOUN
fcis-19516	46	16	based	base	VERB
fcis-19516	46	17	on	on	ADP
fcis-19516	46	18	attention	attention	NOUN
fcis-19516	46	19	-	-	PUNCT
fcis-19516	46	20	bilstm	bilstm	NOUN
fcis-19516	46	21	2.3	2.3	NUM
fcis-19516	46	22	.	.	PUNCT
fcis-19516	47	1	bilstm	bilstm	NOUN
fcis-19516	47	2	the	the	DET
fcis-19516	47	3	traditional	traditional	ADJ
fcis-19516	47	4	lstm	lstm	NOUN
fcis-19516	47	5	model	model	NOUN
fcis-19516	47	6	can	can	AUX
fcis-19516	47	7	store	store	VERB
fcis-19516	47	8	and	and	CCONJ
fcis-19516	47	9	use	use	VERB
fcis-19516	47	10	all	all	DET
fcis-19516	47	11	the	the	DET
fcis-19516	47	12	previous	previous	ADJ
fcis-19516	47	13	position	position	NOUN
fcis-19516	47	14	states	state	NOUN
fcis-19516	47	15	to	to	PART
fcis-19516	47	16	better	well	ADV
fcis-19516	47	17	describe	describe	VERB
fcis-19516	47	18	the	the	DET
fcis-19516	47	19	dependency	dependency	NOUN
fcis-19516	47	20	relationship	relationship	NOUN
fcis-19516	47	21	between	between	ADP
fcis-19516	47	22	long	long	ADJ
fcis-19516	47	23	and	and	CCONJ
fcis-19516	47	24	short	short	ADJ
fcis-19516	47	25	distances	distance	NOUN
fcis-19516	47	26	,	,	PUNCT
fcis-19516	47	27	which	which	PRON
fcis-19516	47	28	also	also	ADV
fcis-19516	47	29	avoid	avoid	VERB
fcis-19516	47	30	the	the	DET
fcis-19516	47	31	problem	problem	NOUN
fcis-19516	47	32	of	of	ADP
fcis-19516	47	33	gradient	gradient	ADJ
fcis-19516	47	34	explosion	explosion	NOUN
fcis-19516	47	35	or	or	CCONJ
fcis-19516	47	36	gradient	gradient	ADJ
fcis-19516	47	37	disappearance	disappearance	NOUN
fcis-19516	47	38	[	[	X
fcis-19516	47	39	9	9	NUM
fcis-19516	47	40	]	]	PUNCT
fcis-19516	47	41	.	.	PUNCT
fcis-19516	48	1	based	base	VERB
fcis-19516	48	2	on	on	ADP
fcis-19516	48	3	this	this	PRON
fcis-19516	48	4	,	,	PUNCT
fcis-19516	48	5	bilstm	bilstm	NOUN
fcis-19516	48	6	introduces	introduce	VERB
fcis-19516	48	7	forward	forward	ADV
fcis-19516	48	8	propagation	propagation	NOUN
fcis-19516	48	9	layer	layer	NOUN
fcis-19516	48	10	and	and	CCONJ
fcis-19516	48	11	backward	backward	ADJ
fcis-19516	48	12	propagation	propagation	NOUN
fcis-19516	48	13	layer	layer	NOUN
fcis-19516	48	14	as	as	SCONJ
fcis-19516	48	15	shown	show	VERB
fcis-19516	48	16	in	in	ADP
fcis-19516	48	17	fig.2	fig.2	PROPN
fcis-19516	48	18	.	.	PUNCT
fcis-19516	49	1	represents	represent	VERB
fcis-19516	49	2	input	input	NOUN
fcis-19516	49	3	,	,	PUNCT
fcis-19516	49	4	represents	represent	VERB
fcis-19516	49	5	the	the	DET
fcis-19516	49	6	hidden	hidden	ADJ
fcis-19516	49	7	state	state	NOUN
fcis-19516	49	8	of	of	ADP
fcis-19516	49	9	forward	forward	ADJ
fcis-19516	49	10	propagation	propagation	NOUN
fcis-19516	49	11	,	,	PUNCT
fcis-19516	49	12	and	and	CCONJ
fcis-19516	49	13	represents	represent	VERB
fcis-19516	49	14	the	the	DET
fcis-19516	49	15	hidden	hidden	ADJ
fcis-19516	49	16	state	state	NOUN
fcis-19516	49	17	of	of	ADP
fcis-19516	49	18	backward	backward	ADJ
fcis-19516	49	19	propagation	propagation	NOUN
fcis-19516	49	20	layer	layer	NOUN
fcis-19516	49	21	,	,	PUNCT
fcis-19516	49	22	denoted	denote	VERB
fcis-19516	49	23	in	in	ADP
fcis-19516	49	24	equation	equation	NOUN
fcis-19516	49	25	(	(	PUNCT
fcis-19516	49	26	2	2	NUM
fcis-19516	49	27	)	)	PUNCT
fcis-19516	49	28	and	and	CCONJ
fcis-19516	49	29	equation	equation	NOUN
fcis-19516	49	30	(	(	PUNCT
fcis-19516	49	31	3	3	NUM
fcis-19516	49	32	)	)	PUNCT
fcis-19516	49	33	.	.	PUNCT
fcis-19516	50	1	∙	∙	PUNCT
fcis-19516	50	2	∙	∙	PROPN
fcis-19516	50	3	(	(	PUNCT
fcis-19516	50	4	2	2	X
fcis-19516	50	5	)	)	PUNCT
fcis-19516	51	1	∙	∙	PROPN
fcis-19516	51	2	∙	∙	X
fcis-19516	51	3	(	(	PUNCT
fcis-19516	51	4	3	3	X
fcis-19516	51	5	)	)	PUNCT
fcis-19516	51	6	fig	fig	NOUN
fcis-19516	51	7	2	2	NUM
fcis-19516	51	8	.	.	PUNCT
fcis-19516	51	9	propagation	propagation	NOUN
fcis-19516	51	10	mechanism	mechanism	NOUN
fcis-19516	51	11	of	of	ADP
fcis-19516	51	12	bilstm	bilstm	NOUN
fcis-19516	51	13	the	the	DET
fcis-19516	51	14	output	output	NOUN
fcis-19516	51	15	state	state	NOUN
fcis-19516	51	16	of	of	ADP
fcis-19516	51	17	two	two	NUM
fcis-19516	51	18	lstm	lstm	ADJ
fcis-19516	51	19	units	unit	NOUN
fcis-19516	51	20	is	be	AUX
fcis-19516	51	21	spliced	splice	VERB
fcis-19516	51	22	to	to	PART
fcis-19516	51	23	form	form	VERB
fcis-19516	51	24	a	a	DET
fcis-19516	51	25	new	new	ADJ
fcis-19516	51	26	state	state	NOUN
fcis-19516	51	27	vector	vector	NOUN
fcis-19516	51	28	in	in	ADP
fcis-19516	51	29	equation	equation	NOUN
fcis-19516	51	30	(	(	PUNCT
fcis-19516	51	31	4	4	NUM
fcis-19516	51	32	)	)	PUNCT
fcis-19516	51	33	.	.	PUNCT
fcis-19516	52	1	,	,	PUNCT
fcis-19516	52	2	(	(	PUNCT
fcis-19516	52	3	4	4	X
fcis-19516	52	4	)	)	PUNCT
fcis-19516	52	5	2.4	2.4	NUM
fcis-19516	52	6	.	.	PUNCT
fcis-19516	53	1	softmax	softmax	NOUN
fcis-19516	53	2	layer	layer	NOUN
fcis-19516	53	3	finally	finally	ADV
fcis-19516	53	4	,	,	PUNCT
fcis-19516	53	5	the	the	DET
fcis-19516	53	6	softmax	softmax	NOUN
fcis-19516	53	7	function	function	NOUN
fcis-19516	53	8	is	be	AUX
fcis-19516	53	9	used	use	VERB
fcis-19516	53	10	to	to	PART
fcis-19516	53	11	normalize	normalize	VERB
fcis-19516	53	12	the	the	DET
fcis-19516	53	13	generated	generate	VERB
fcis-19516	53	14	text	text	NOUN
fcis-19516	53	15	vector	vector	NOUN
fcis-19516	53	16	,	,	PUNCT
fcis-19516	53	17	and	and	CCONJ
fcis-19516	53	18	the	the	DET
fcis-19516	53	19	probability	probability	NOUN
fcis-19516	53	20	distribution	distribution	NOUN
fcis-19516	53	21	of	of	ADP
fcis-19516	53	22	the	the	DET
fcis-19516	53	23	text	text	NOUN
fcis-19516	53	24	vector	vector	NOUN
fcis-19516	53	25	under	under	ADP
fcis-19516	53	26	positive	positive	ADJ
fcis-19516	53	27	or	or	CCONJ
fcis-19516	53	28	negative	negative	ADJ
fcis-19516	53	29	types	type	NOUN
fcis-19516	53	30	is	be	AUX
fcis-19516	53	31	obtained	obtain	VERB
fcis-19516	53	32	.	.	PUNCT
fcis-19516	54	1	in	in	ADP
fcis-19516	54	2	equation	equation	NOUN
fcis-19516	54	3	(	(	PUNCT
fcis-19516	54	4	5	5	NUM
fcis-19516	54	5	)	)	PUNCT
fcis-19516	54	6	,	,	PUNCT
fcis-19516	54	7	1	1	NUM
fcis-19516	54	8	represents	represent	VERB
fcis-19516	54	9	positive	positive	ADJ
fcis-19516	54	10	and	and	CCONJ
fcis-19516	54	11	0	0	NUM
fcis-19516	54	12	represents	represent	VERB
fcis-19516	54	13	negative	negative	ADJ
fcis-19516	54	14	.	.	PUNCT
fcis-19516	55	1	the	the	DET
fcis-19516	55	2	obtained	obtain	VERB
fcis-19516	55	3	result	result	NOUN
fcis-19516	55	4	can	can	AUX
fcis-19516	55	5	be	be	AUX
fcis-19516	55	6	calculated	calculate	VERB
fcis-19516	55	7	as	as	ADP
fcis-19516	55	8	follow	follow	NOUN
fcis-19516	55	9	:	:	PUNCT
fcis-19516	55	10	,	,	PUNCT
fcis-19516	55	11	∑	∑	PUNCT
fcis-19516	55	12	(	(	PUNCT
fcis-19516	55	13	5	5	NUM
fcis-19516	55	14	)	)	PUNCT
fcis-19516	55	15	3	3	NUM
fcis-19516	55	16	.	.	X
fcis-19516	55	17	analysis	analysis	NOUN
fcis-19516	55	18	experiment	experiment	NOUN
fcis-19516	55	19	3.1	3.1	NUM
fcis-19516	55	20	.	.	PUNCT
fcis-19516	56	1	datasets	dataset	NOUN
fcis-19516	56	2	data	datum	NOUN
fcis-19516	56	3	sources	source	NOUN
fcis-19516	56	4	in	in	ADP
fcis-19516	56	5	this	this	DET
fcis-19516	56	6	paper	paper	NOUN
fcis-19516	56	7	come	come	VERB
fcis-19516	56	8	from	from	ADP
fcis-19516	56	9	github	github	NOUN
fcis-19516	56	10	,	,	PUNCT
fcis-19516	56	11	with	with	ADP
fcis-19516	56	12	a	a	DET
fcis-19516	56	13	total	total	NOUN
fcis-19516	56	14	of	of	ADP
fcis-19516	56	15	8500	8500	NUM
fcis-19516	56	16	labeled	label	VERB
fcis-19516	56	17	comment	comment	NOUN
fcis-19516	56	18	data	datum	NOUN
fcis-19516	56	19	.	.	PUNCT
fcis-19516	57	1	among	among	ADP
fcis-19516	57	2	them	they	PRON
fcis-19516	57	3	,	,	PUNCT
fcis-19516	57	4	there	there	PRON
fcis-19516	57	5	are	be	VERB
fcis-19516	57	6	about	about	ADV
fcis-19516	57	7	5500	5500	NUM
fcis-19516	57	8	positive	positive	ADJ
fcis-19516	57	9	comments	comment	NOUN
fcis-19516	57	10	and	and	CCONJ
fcis-19516	57	11	3000	3000	NUM
fcis-19516	57	12	negative	negative	ADJ
fcis-19516	57	13	comments	comment	NOUN
fcis-19516	57	14	.	.	PUNCT
fcis-19516	58	1	due	due	ADP
fcis-19516	58	2	to	to	ADP
fcis-19516	58	3	the	the	DET
fcis-19516	58	4	complexity	complexity	NOUN
fcis-19516	58	5	of	of	ADP
fcis-19516	58	6	the	the	DET
fcis-19516	58	7	composition	composition	NOUN
fcis-19516	58	8	of	of	ADP
fcis-19516	58	9	the	the	DET
fcis-19516	58	10	comment	comment	NOUN
fcis-19516	58	11	text	text	NOUN
fcis-19516	58	12	,	,	PUNCT
fcis-19516	58	13	including	include	VERB
fcis-19516	58	14	chinese	chinese	PROPN
fcis-19516	58	15	,	,	PUNCT
fcis-19516	58	16	english	english	PROPN
fcis-19516	58	17	,	,	PUNCT
fcis-19516	58	18	slang	slang	PROPN
fcis-19516	58	19	,	,	PUNCT
fcis-19516	58	20	digital	digital	ADJ
fcis-19516	58	21	symbols	symbol	NOUN
fcis-19516	58	22	,	,	PUNCT
fcis-19516	58	23	special	special	ADJ
fcis-19516	58	24	expressions	expression	NOUN
fcis-19516	58	25	,	,	PUNCT
fcis-19516	58	26	vacancy	vacancy	NOUN
fcis-19516	58	27	values	value	NOUN
fcis-19516	58	28	,	,	PUNCT
fcis-19516	58	29	redundant	redundant	ADJ
fcis-19516	58	30	values	value	NOUN
fcis-19516	58	31	,	,	PUNCT
fcis-19516	58	32	etc	etc	X
fcis-19516	58	33	.	.	X
fcis-19516	58	34	,	,	PUNCT
fcis-19516	58	35	it	it	PRON
fcis-19516	58	36	is	be	AUX
fcis-19516	58	37	necessary	necessary	ADJ
fcis-19516	58	38	to	to	PART
fcis-19516	58	39	process	process	VERB
fcis-19516	58	40	the	the	DET
fcis-19516	58	41	text	text	NOUN
fcis-19516	58	42	data	datum	NOUN
fcis-19516	58	43	.	.	PUNCT
fcis-19516	59	1	3.2	3.2	NUM
fcis-19516	59	2	.	.	PUNCT
fcis-19516	59	3	data	datum	NOUN
fcis-19516	59	4	preprocessing	preprocesse	VERB
fcis-19516	59	5	first	first	ADV
fcis-19516	59	6	,	,	PUNCT
fcis-19516	59	7	data	datum	NOUN
fcis-19516	59	8	is	be	AUX
fcis-19516	59	9	simply	simply	ADV
fcis-19516	59	10	cleaned	clean	VERB
fcis-19516	59	11	to	to	PART
fcis-19516	59	12	remove	remove	VERB
fcis-19516	59	13	noise	noise	NOUN
fcis-19516	59	14	such	such	ADJ
fcis-19516	59	15	as	as	ADP
fcis-19516	59	16	null	null	ADJ
fcis-19516	59	17	values	value	NOUN
fcis-19516	59	18	and	and	CCONJ
fcis-19516	59	19	redundant	redundant	ADJ
fcis-19516	59	20	values	value	NOUN
fcis-19516	59	21	.	.	PUNCT
fcis-19516	60	1	then	then	ADV
fcis-19516	60	2	jieba	jieba	NOUN
fcis-19516	60	3	is	be	AUX
fcis-19516	60	4	used	use	VERB
fcis-19516	60	5	to	to	PART
fcis-19516	60	6	divide	divide	VERB
fcis-19516	60	7	each	each	DET
fcis-19516	60	8	data	datum	NOUN
fcis-19516	60	9	into	into	ADP
fcis-19516	60	10	a	a	DET
fcis-19516	60	11	set	set	NOUN
fcis-19516	60	12	of	of	ADP
fcis-19516	60	13	independent	independent	ADJ
fcis-19516	60	14	words	word	NOUN
fcis-19516	60	15	.	.	PUNCT
fcis-19516	61	1	this	this	DET
fcis-19516	61	2	paper	paper	NOUN
fcis-19516	61	3	integrates	integrate	VERB
fcis-19516	61	4	the	the	DET
fcis-19516	61	5	hit	hit	NOUN
fcis-19516	61	6	stop	stop	NOUN
fcis-19516	61	7	vocabulary	vocabulary	VERB
fcis-19516	61	8	and	and	CCONJ
fcis-19516	61	9	baidu	baidu	NOUN
fcis-19516	61	10	stop	stop	AUX
fcis-19516	61	11	vocabulary	vocabulary	NOUN
fcis-19516	61	12	to	to	PART
fcis-19516	61	13	form	form	VERB
fcis-19516	61	14	a	a	DET
fcis-19516	61	15	micro	micro	ADJ
fcis-19516	61	16	-	-	ADJ
fcis-19516	61	17	blog	blog	ADJ
fcis-19516	61	18	comment	comment	NOUN
fcis-19516	61	19	stop	stop	NOUN
fcis-19516	61	20	vocabulary	vocabulary	NOUN
fcis-19516	61	21	,	,	PUNCT
fcis-19516	61	22	filters	filter	VERB
fcis-19516	61	23	the	the	DET
fcis-19516	61	24	useless	useless	ADJ
fcis-19516	61	25	characters	character	NOUN
fcis-19516	61	26	and	and	CCONJ
fcis-19516	61	27	auxiliary	auxiliary	ADJ
fcis-19516	61	28	words	word	NOUN
fcis-19516	61	29	in	in	ADP
fcis-19516	61	30	the	the	DET
fcis-19516	61	31	data	datum	NOUN
fcis-19516	61	32	,	,	PUNCT
fcis-19516	61	33	and	and	CCONJ
fcis-19516	61	34	inputs	input	VERB
fcis-19516	61	35	the	the	DET
fcis-19516	61	36	word2vec	word2vec	PROPN
fcis-19516	61	37	model	model	NOUN
fcis-19516	61	38	for	for	ADP
fcis-19516	61	39	word	word	NOUN
fcis-19516	61	40	vector	vector	NOUN
fcis-19516	61	41	training	training	NOUN
fcis-19516	61	42	.	.	PUNCT
fcis-19516	62	1	3.3	3.3	NUM
fcis-19516	62	2	.	.	PUNCT
fcis-19516	62	3	evaluation	evaluation	NOUN
fcis-19516	62	4	index	index	NOUN
fcis-19516	62	5	we	we	PRON
fcis-19516	62	6	introduce	introduce	VERB
fcis-19516	62	7	accuracy	accuracy	NOUN
fcis-19516	62	8	,	,	PUNCT
fcis-19516	62	9	precision	precision	NOUN
fcis-19516	62	10	,	,	PUNCT
fcis-19516	62	11	recall	recall	NOUN
fcis-19516	62	12	,	,	PUNCT
fcis-19516	62	13	and	and	CCONJ
fcis-19516	62	14	f1	f1	NOUN
fcis-19516	62	15	-	-	PUNCT
fcis-19516	62	16	score	score	NOUN
fcis-19516	62	17	as	as	ADP
fcis-19516	62	18	51	51	NUM
fcis-19516	62	19	the	the	DET
fcis-19516	62	20	evaluation	evaluation	NOUN
fcis-19516	62	21	indicators	indicator	NOUN
fcis-19516	62	22	of	of	ADP
fcis-19516	62	23	the	the	DET
fcis-19516	62	24	model	model	NOUN
fcis-19516	62	25	as	as	SCONJ
fcis-19516	62	26	shown	show	VERB
fcis-19516	62	27	in	in	ADP
fcis-19516	62	28	equation	equation	NOUN
fcis-19516	62	29	(	(	PUNCT
fcis-19516	62	30	6	6	NUM
fcis-19516	62	31	)	)	PUNCT
fcis-19516	62	32	to	to	ADP
fcis-19516	62	33	(	(	PUNCT
fcis-19516	62	34	9	9	NUM
fcis-19516	62	35	)	)	PUNCT
fcis-19516	62	36	.	.	PUNCT
fcis-19516	63	1	among	among	ADP
fcis-19516	63	2	them	they	PRON
fcis-19516	63	3	,	,	PUNCT
fcis-19516	63	4	tp	tp	PART
fcis-19516	63	5	represents	represent	VERB
fcis-19516	63	6	predicting	predict	VERB
fcis-19516	63	7	positive	positive	ADJ
fcis-19516	63	8	text	text	NOUN
fcis-19516	63	9	correctly	correctly	ADV
fcis-19516	63	10	as	as	ADP
fcis-19516	63	11	positive	positive	ADJ
fcis-19516	63	12	,	,	PUNCT
fcis-19516	63	13	fn	fn	NOUN
fcis-19516	63	14	represents	represent	VERB
fcis-19516	63	15	the	the	DET
fcis-19516	63	16	positive	positive	ADJ
fcis-19516	63	17	text	text	NOUN
fcis-19516	63	18	is	be	AUX
fcis-19516	63	19	predicted	predict	VERB
fcis-19516	63	20	to	to	PART
fcis-19516	63	21	be	be	AUX
fcis-19516	63	22	negative	negative	ADJ
fcis-19516	63	23	,	,	PUNCT
fcis-19516	63	24	fp	fp	X
fcis-19516	63	25	represents	represent	VERB
fcis-19516	63	26	the	the	DET
fcis-19516	63	27	negative	negative	ADJ
fcis-19516	63	28	text	text	NOUN
fcis-19516	63	29	is	be	AUX
fcis-19516	63	30	predicted	predict	VERB
fcis-19516	63	31	to	to	PART
fcis-19516	63	32	be	be	AUX
fcis-19516	63	33	positive	positive	ADJ
fcis-19516	63	34	,	,	PUNCT
fcis-19516	63	35	and	and	CCONJ
fcis-19516	63	36	tn	tn	NOUN
fcis-19516	63	37	represents	represent	VERB
fcis-19516	63	38	the	the	DET
fcis-19516	63	39	negative	negative	ADJ
fcis-19516	63	40	text	text	NOUN
fcis-19516	63	41	is	be	AUX
fcis-19516	63	42	predicted	predict	VERB
fcis-19516	63	43	to	to	PART
fcis-19516	63	44	be	be	AUX
fcis-19516	63	45	negative	negative	ADJ
fcis-19516	63	46	correctly	correctly	ADV
fcis-19516	63	47	.	.	PUNCT
fcis-19516	64	1	(	(	PUNCT
fcis-19516	64	2	6	6	NUM
fcis-19516	64	3	)	)	PUNCT
fcis-19516	64	4	(	(	PUNCT
fcis-19516	64	5	7	7	NUM
fcis-19516	64	6	)	)	PUNCT
fcis-19516	64	7	(	(	PUNCT
fcis-19516	64	8	8)	8)	NUM
fcis-19516	64	9	1	1	NUM
fcis-19516	64	10	2	2	NUM
fcis-19516	64	11	(	(	PUNCT
fcis-19516	64	12	9	9	NUM
fcis-19516	64	13	)	)	PUNCT
fcis-19516	64	14	3.4	3.4	NUM
fcis-19516	64	15	.	.	PUNCT
fcis-19516	65	1	parameter	parameter	NOUN
fcis-19516	65	2	settings	setting	VERB
fcis-19516	65	3	the	the	DET
fcis-19516	65	4	training	training	NOUN
fcis-19516	65	5	set	set	NOUN
fcis-19516	65	6	and	and	CCONJ
fcis-19516	65	7	test	test	NOUN
fcis-19516	65	8	set	set	VERB
fcis-19516	65	9	are	be	AUX
fcis-19516	65	10	divided	divide	VERB
fcis-19516	65	11	into	into	ADP
fcis-19516	65	12	80	80	NUM
fcis-19516	65	13	%	%	NOUN
fcis-19516	65	14	and	and	CCONJ
fcis-19516	65	15	20	20	NUM
fcis-19516	65	16	%	%	NOUN
fcis-19516	65	17	.	.	PUNCT
fcis-19516	66	1	the	the	DET
fcis-19516	66	2	parameter	parameter	NOUN
fcis-19516	66	3	configuration	configuration	NOUN
fcis-19516	66	4	of	of	ADP
fcis-19516	66	5	the	the	DET
fcis-19516	66	6	attention	attention	NOUN
fcis-19516	66	7	-	-	PUNCT
fcis-19516	66	8	bilstm	bilstm	NOUN
fcis-19516	66	9	model	model	NOUN
fcis-19516	66	10	is	be	AUX
fcis-19516	66	11	shown	show	VERB
fcis-19516	66	12	as	as	ADP
fcis-19516	66	13	table	table	NOUN
fcis-19516	66	14	1	1	NUM
fcis-19516	66	15	.	.	PUNCT
fcis-19516	66	16	table	table	NOUN
fcis-19516	66	17	1	1	NUM
fcis-19516	66	18	.	.	PUNCT
fcis-19516	67	1	parameter	parameter	NOUN
fcis-19516	67	2	settings	setting	NOUN
fcis-19516	67	3	of	of	ADP
fcis-19516	67	4	the	the	DET
fcis-19516	67	5	attention	attention	NOUN
fcis-19516	67	6	-	-	PUNCT
fcis-19516	67	7	bilstm	bilstm	NOUN
fcis-19516	67	8	model	model	NOUN
fcis-19516	67	9	parameter	parameter	NOUN
fcis-19516	67	10	value	value	NOUN
fcis-19516	67	11	embedding_size	embedding_size	VERB
fcis-19516	67	12	228	228	NUM
fcis-19516	67	13	epochs	epoch	NOUN
fcis-19516	67	14	15	15	NUM
fcis-19516	67	15	max_len	max_len	ADJ
fcis-19516	67	16	48	48	NUM
fcis-19516	67	17	batch_size	batch_size	NOUN
fcis-19516	67	18	500	500	NUM
fcis-19516	67	19	learning	learning	NOUN
fcis-19516	67	20	rate	rate	NOUN
fcis-19516	67	21	0.001	0.001	NUM
fcis-19516	67	22	3.5	3.5	NUM
fcis-19516	67	23	.	.	PUNCT
fcis-19516	68	1	contrast	contrast	NOUN
fcis-19516	68	2	experiment	experiment	NOUN
fcis-19516	68	3	here	here	ADV
fcis-19516	68	4	we	we	PRON
fcis-19516	68	5	introduce	introduce	VERB
fcis-19516	68	6	three	three	NUM
fcis-19516	68	7	sets	set	NOUN
fcis-19516	68	8	of	of	ADP
fcis-19516	68	9	contrast	contrast	NOUN
fcis-19516	68	10	experiments	experiment	NOUN
fcis-19516	68	11	,	,	PUNCT
fcis-19516	68	12	namely	namely	ADV
fcis-19516	68	13	lstm	lstm	ADJ
fcis-19516	68	14	,	,	PUNCT
fcis-19516	68	15	bilstm	bilstm	NOUN
fcis-19516	68	16	,	,	PUNCT
fcis-19516	68	17	and	and	CCONJ
fcis-19516	68	18	textcnn	textcnn	PROPN
fcis-19516	68	19	,	,	PUNCT
fcis-19516	68	20	then	then	ADV
fcis-19516	68	21	compare	compare	VERB
fcis-19516	68	22	the	the	DET
fcis-19516	68	23	results	result	NOUN
fcis-19516	68	24	with	with	ADP
fcis-19516	68	25	the	the	DET
fcis-19516	68	26	model	model	NOUN
fcis-19516	68	27	proposed	propose	VERB
fcis-19516	68	28	in	in	ADP
fcis-19516	68	29	this	this	DET
fcis-19516	68	30	paper	paper	NOUN
fcis-19516	68	31	as	as	SCONJ
fcis-19516	68	32	shown	show	VERB
fcis-19516	68	33	in	in	ADP
fcis-19516	68	34	table	table	NOUN
fcis-19516	68	35	2	2	NUM
fcis-19516	68	36	.	.	PUNCT
fcis-19516	68	37	by	by	ADP
fcis-19516	68	38	using	use	VERB
fcis-19516	68	39	multiple	multiple	ADJ
fcis-19516	68	40	convolution	convolution	NOUN
fcis-19516	68	41	kernels	kernel	NOUN
fcis-19516	68	42	of	of	ADP
fcis-19516	68	43	different	different	ADJ
fcis-19516	68	44	sizes	size	NOUN
fcis-19516	68	45	,	,	PUNCT
fcis-19516	68	46	the	the	DET
fcis-19516	68	47	textcnn	textcnn	PROPN
fcis-19516	68	48	model	model	NOUN
fcis-19516	68	49	can	can	AUX
fcis-19516	68	50	extract	extract	VERB
fcis-19516	68	51	the	the	DET
fcis-19516	68	52	interrelationships	interrelationship	NOUN
fcis-19516	68	53	within	within	ADP
fcis-19516	68	54	and	and	CCONJ
fcis-19516	68	55	between	between	ADP
fcis-19516	68	56	sentences	sentence	NOUN
fcis-19516	68	57	.	.	PUNCT
fcis-19516	69	1	but	but	CCONJ
fcis-19516	69	2	the	the	DET
fcis-19516	69	3	pooling	pool	VERB
fcis-19516	69	4	operations	operation	NOUN
fcis-19516	69	5	in	in	ADP
fcis-19516	69	6	textcnn	textcnn	PROPN
fcis-19516	69	7	will	will	AUX
fcis-19516	69	8	lose	lose	VERB
fcis-19516	69	9	the	the	DET
fcis-19516	69	10	order	order	NOUN
fcis-19516	69	11	and	and	CCONJ
fcis-19516	69	12	location	location	NOUN
fcis-19516	69	13	information	information	NOUN
fcis-19516	69	14	between	between	ADP
fcis-19516	69	15	the	the	DET
fcis-19516	69	16	dialogue	dialogue	NOUN
fcis-19516	69	17	texts	text	NOUN
fcis-19516	69	18	,	,	PUNCT
fcis-19516	69	19	which	which	PRON
fcis-19516	69	20	is	be	AUX
fcis-19516	69	21	not	not	PART
fcis-19516	69	22	conducive	conducive	ADJ
fcis-19516	69	23	to	to	ADP
fcis-19516	69	24	the	the	DET
fcis-19516	69	25	sentiment	sentiment	NOUN
fcis-19516	69	26	recognition	recognition	NOUN
fcis-19516	69	27	of	of	ADP
fcis-19516	69	28	the	the	DET
fcis-19516	69	29	comment	comment	NOUN
fcis-19516	69	30	text	text	NOUN
fcis-19516	69	31	.	.	PUNCT
fcis-19516	70	1	lstm	lstm	PROPN
fcis-19516	70	2	model	model	NOUN
fcis-19516	70	3	performs	perform	VERB
fcis-19516	70	4	better	well	ADV
fcis-19516	70	5	in	in	ADP
fcis-19516	70	6	learning	learn	VERB
fcis-19516	70	7	the	the	DET
fcis-19516	70	8	long	long	ADJ
fcis-19516	70	9	-	-	PUNCT
fcis-19516	70	10	term	term	NOUN
fcis-19516	70	11	dependency	dependency	NOUN
fcis-19516	70	12	of	of	ADP
fcis-19516	70	13	sequence	sequence	NOUN
fcis-19516	70	14	data	datum	NOUN
fcis-19516	70	15	whose	whose	DET
fcis-19516	70	16	accuracy	accuracy	NOUN
fcis-19516	70	17	reaches	reach	VERB
fcis-19516	70	18	79.57	79.57	NUM
fcis-19516	70	19	%	%	NOUN
fcis-19516	70	20	.	.	PUNCT
fcis-19516	71	1	based	base	VERB
fcis-19516	71	2	on	on	ADP
fcis-19516	71	3	lstm	lstm	PROPN
fcis-19516	71	4	,	,	PUNCT
fcis-19516	71	5	bilstm	bilstm	NOUN
fcis-19516	71	6	has	have	VERB
fcis-19516	71	7	a	a	DET
fcis-19516	71	8	two	two	NUM
fcis-19516	71	9	-	-	PUNCT
fcis-19516	71	10	way	way	NOUN
fcis-19516	71	11	propagation	propagation	NOUN
fcis-19516	71	12	mechanism	mechanism	NOUN
fcis-19516	71	13	,	,	PUNCT
fcis-19516	71	14	which	which	PRON
fcis-19516	71	15	can	can	AUX
fcis-19516	71	16	better	well	ADV
fcis-19516	71	17	characterize	characterize	VERB
fcis-19516	71	18	the	the	DET
fcis-19516	71	19	sequence	sequence	NOUN
fcis-19516	71	20	data	datum	NOUN
fcis-19516	71	21	in	in	ADP
fcis-19516	71	22	the	the	DET
fcis-19516	71	23	process	process	NOUN
fcis-19516	71	24	of	of	ADP
fcis-19516	71	25	learning	learning	NOUN
fcis-19516	71	26	,	,	PUNCT
fcis-19516	71	27	and	and	CCONJ
fcis-19516	71	28	has	have	VERB
fcis-19516	71	29	better	well	ADJ
fcis-19516	71	30	generalization	generalization	NOUN
fcis-19516	71	31	ability	ability	NOUN
fcis-19516	71	32	.	.	PUNCT
fcis-19516	72	1	however	however	ADV
fcis-19516	72	2	,	,	PUNCT
fcis-19516	72	3	the	the	DET
fcis-19516	72	4	single	single	ADJ
fcis-19516	72	5	model	model	NOUN
fcis-19516	72	6	neural	neural	ADJ
fcis-19516	72	7	network	network	NOUN
fcis-19516	72	8	is	be	AUX
fcis-19516	72	9	relatively	relatively	ADV
fcis-19516	72	10	simple	simple	ADJ
fcis-19516	72	11	,	,	PUNCT
fcis-19516	72	12	which	which	PRON
fcis-19516	72	13	fails	fail	VERB
fcis-19516	72	14	to	to	PART
fcis-19516	72	15	fully	fully	ADV
fcis-19516	72	16	consider	consider	VERB
fcis-19516	72	17	the	the	DET
fcis-19516	72	18	text	text	NOUN
fcis-19516	72	19	features	feature	VERB
fcis-19516	72	20	.	.	PUNCT
fcis-19516	73	1	through	through	ADP
fcis-19516	73	2	comparison	comparison	NOUN
fcis-19516	73	3	,	,	PUNCT
fcis-19516	73	4	it	it	PRON
fcis-19516	73	5	can	can	AUX
fcis-19516	73	6	be	be	AUX
fcis-19516	73	7	seen	see	VERB
fcis-19516	73	8	that	that	SCONJ
fcis-19516	73	9	attention	attention	NOUN
fcis-19516	73	10	-	-	PUNCT
fcis-19516	73	11	bilstm	bilstm	NOUN
fcis-19516	73	12	model	model	NOUN
fcis-19516	73	13	has	have	AUX
fcis-19516	73	14	improved	improve	VERB
fcis-19516	73	15	the	the	DET
fcis-19516	73	16	indicators	indicator	NOUN
fcis-19516	73	17	compared	compare	VERB
fcis-19516	73	18	with	with	ADP
fcis-19516	73	19	text	text	NOUN
fcis-19516	73	20	-	-	PUNCT
fcis-19516	73	21	cnn	cnn	PROPN
fcis-19516	73	22	,	,	PUNCT
fcis-19516	73	23	lstm	lstm	ADJ
fcis-19516	73	24	,	,	PUNCT
fcis-19516	73	25	and	and	CCONJ
fcis-19516	73	26	bilstm	bilstm	NOUN
fcis-19516	73	27	models	model	NOUN
fcis-19516	73	28	.	.	PUNCT
fcis-19516	74	1	it	it	PRON
fcis-19516	74	2	is	be	AUX
fcis-19516	74	3	further	far	ADV
fcis-19516	74	4	proved	prove	VERB
fcis-19516	74	5	that	that	SCONJ
fcis-19516	74	6	the	the	DET
fcis-19516	74	7	structure	structure	NOUN
fcis-19516	74	8	of	of	ADP
fcis-19516	74	9	the	the	DET
fcis-19516	74	10	composite	composite	ADJ
fcis-19516	74	11	model	model	NOUN
fcis-19516	74	12	is	be	AUX
fcis-19516	74	13	superior	superior	ADJ
fcis-19516	74	14	to	to	ADP
fcis-19516	74	15	the	the	DET
fcis-19516	74	16	single	single	ADJ
fcis-19516	74	17	model	model	NOUN
fcis-19516	74	18	in	in	ADP
fcis-19516	74	19	text	text	NOUN
fcis-19516	74	20	sentiment	sentiment	NOUN
fcis-19516	74	21	classification	classification	NOUN
fcis-19516	74	22	,	,	PUNCT
fcis-19516	74	23	with	with	ADP
fcis-19516	74	24	higher	high	ADJ
fcis-19516	74	25	accuracy	accuracy	NOUN
fcis-19516	74	26	and	and	CCONJ
fcis-19516	74	27	stronger	strong	ADJ
fcis-19516	74	28	universality	universality	NOUN
fcis-19516	74	29	.	.	PUNCT
fcis-19516	74	30	table	table	NOUN
fcis-19516	74	31	2	2	NUM
fcis-19516	74	32	.	.	PUNCT
fcis-19516	74	33	comparison	comparison	NOUN
fcis-19516	74	34	of	of	ADP
fcis-19516	74	35	different	different	ADJ
fcis-19516	74	36	models	model	NOUN
fcis-19516	74	37	model	model	NOUN
fcis-19516	74	38	accuracy	accuracy	NOUN
fcis-19516	74	39	precision	precision	NOUN
fcis-19516	74	40	recall	recall	VERB
fcis-19516	74	41	f1score	f1score	NOUN
fcis-19516	74	42	text	text	NOUN
fcis-19516	74	43	-	-	PUNCT
fcis-19516	74	44	cnn	cnn	NOUN
fcis-19516	74	45	0.7347	0.7347	NUM
fcis-19516	74	46	0.6949	0.6949	NUM
fcis-19516	74	47	0.6564	0.6564	NUM
fcis-19516	74	48	0.6771	0.6771	NUM
fcis-19516	74	49	lstm	lstm	NOUN
fcis-19516	74	50	0.7957	0.7957	NUM
fcis-19516	74	51	0.8435	0.8435	NUM
fcis-19516	74	52	0.8027	0.8027	NUM
fcis-19516	74	53	0.8225	0.8225	NUM
fcis-19516	74	54	bilstm	bilstm	NOUN
fcis-19516	74	55	0.8217	0.8217	NUM
fcis-19516	74	56	0.7988	0.7988	NUM
fcis-19516	74	57	0.8139	0.8139	NUM
fcis-19516	74	58	0.8198	0.8198	NUM
fcis-19516	74	59	attentionbilstm	attentionbilstm	NOUN
fcis-19516	74	60	0.9235	0.9235	NUM
fcis-19516	74	61	0.8950	0.8950	NUM
fcis-19516	74	62	0.8234	0.8234	NUM
fcis-19516	74	63	0.8667	0.8667	NUM
fcis-19516	74	64	4	4	NUM
fcis-19516	74	65	.	.	PUNCT
fcis-19516	74	66	conclusion	conclusion	NOUN
fcis-19516	74	67	to	to	PART
fcis-19516	74	68	analyze	analyze	VERB
fcis-19516	74	69	the	the	DET
fcis-19516	74	70	micro	micro	ADJ
fcis-19516	74	71	-	-	NOUN
fcis-19516	74	72	blog	blog	ADJ
fcis-19516	74	73	text	text	NOUN
fcis-19516	74	74	emotion	emotion	NOUN
fcis-19516	74	75	,	,	PUNCT
fcis-19516	74	76	we	we	PRON
fcis-19516	74	77	propose	propose	VERB
fcis-19516	74	78	the	the	DET
fcis-19516	74	79	compound	compound	NOUN
fcis-19516	74	80	model	model	NOUN
fcis-19516	74	81	attention	attention	NOUN
fcis-19516	74	82	-	-	PUNCT
fcis-19516	74	83	bilstm	bilstm	NOUN
fcis-19516	74	84	.	.	PUNCT
fcis-19516	75	1	the	the	DET
fcis-19516	75	2	result	result	NOUN
fcis-19516	75	3	proves	prove	VERB
fcis-19516	75	4	that	that	SCONJ
fcis-19516	75	5	the	the	DET
fcis-19516	75	6	model	model	NOUN
fcis-19516	75	7	gains	gain	VERB
fcis-19516	75	8	much	much	ADV
fcis-19516	75	9	better	well	ADJ
fcis-19516	75	10	accuracy	accuracy	NOUN
fcis-19516	75	11	,	,	PUNCT
fcis-19516	75	12	flexibility	flexibility	NOUN
fcis-19516	75	13	and	and	CCONJ
fcis-19516	75	14	feasibility	feasibility	NOUN
fcis-19516	75	15	in	in	ADP
fcis-19516	75	16	the	the	DET
fcis-19516	75	17	field	field	NOUN
fcis-19516	75	18	of	of	ADP
fcis-19516	75	19	text	text	NOUN
fcis-19516	75	20	sentiment	sentiment	NOUN
fcis-19516	75	21	classification	classification	NOUN
fcis-19516	75	22	.	.	PUNCT
fcis-19516	76	1	on	on	ADP
fcis-19516	76	2	next	next	ADJ
fcis-19516	76	3	stage	stage	NOUN
fcis-19516	76	4	,	,	PUNCT
fcis-19516	76	5	the	the	DET
fcis-19516	76	6	goal	goal	NOUN
fcis-19516	76	7	is	be	AUX
fcis-19516	76	8	to	to	PART
fcis-19516	76	9	develop	develop	VERB
fcis-19516	76	10	higher	high	ADJ
fcis-19516	76	11	indicators	indicator	NOUN
fcis-19516	76	12	and	and	CCONJ
fcis-19516	76	13	achieve	achieve	VERB
fcis-19516	76	14	multi	multi	ADJ
fcis-19516	76	15	-	-	ADJ
fcis-19516	76	16	modal	modal	ADJ
fcis-19516	76	17	sentiment	sentiment	NOUN
fcis-19516	76	18	analysis	analysis	NOUN
fcis-19516	76	19	on	on	ADP
fcis-19516	76	20	the	the	DET
fcis-19516	76	21	existing	exist	VERB
fcis-19516	76	22	basis	basis	NOUN
fcis-19516	76	23	.	.	PUNCT
fcis-19516	77	1	acknowledgments	acknowledgment	NOUN
fcis-19516	77	2	the	the	DET
fcis-19516	77	3	authors	author	NOUN
fcis-19516	77	4	gratefully	gratefully	ADV
fcis-19516	77	5	acknowledge	acknowledge	VERB
fcis-19516	77	6	the	the	DET
fcis-19516	77	7	financial	financial	ADJ
fcis-19516	77	8	support	support	NOUN
fcis-19516	77	9	from	from	ADP
fcis-19516	77	10	liaoning	liaoning	PROPN
fcis-19516	77	11	provincial	provincial	ADJ
fcis-19516	77	12	department	department	PROPN
fcis-19516	77	13	of	of	ADP
fcis-19516	77	14	education	education	PROPN
fcis-19516	77	15	scientific	scientific	ADJ
fcis-19516	77	16	research	research	NOUN
fcis-19516	77	17	funding	funding	NOUN
fcis-19516	77	18	project	project	NOUN
fcis-19516	77	19	funds	fund	NOUN
fcis-19516	77	20	(	(	PUNCT
fcis-19516	77	21	lfw202004	lfw202004	NOUN
fcis-19516	77	22	)	)	PUNCT
fcis-19516	77	23	.	.	PUNCT
fcis-19516	78	1	references	reference	NOUN
fcis-19516	78	2	[	[	X
fcis-19516	78	3	1	1	NUM
fcis-19516	78	4	]	]	PUNCT
fcis-19516	78	5	xiong	xiong	PROPN
fcis-19516	78	6	w	w	PROPN
fcis-19516	78	7	,	,	PUNCT
fcis-19516	78	8	zuo	zuo	PROPN
fcis-19516	78	9	y	y	PROPN
fcis-19516	78	10	,	,	PUNCT
fcis-19516	78	11	zhang	zhang	PROPN
fcis-19516	78	12	m	m	PROPN
fcis-19516	78	13	,	,	PUNCT
fcis-19516	78	14	et	et	PROPN
fcis-19516	78	15	al	al	PROPN
fcis-19516	78	16	.	.	PROPN
fcis-19516	78	17	research	research	NOUN
fcis-19516	78	18	on	on	ADP
fcis-19516	78	19	sentiment	sentiment	NOUN
fcis-19516	78	20	analysis	analysis	NOUN
fcis-19516	78	21	of	of	ADP
fcis-19516	78	22	e	e	NOUN
fcis-19516	78	23	-	-	NOUN
fcis-19516	78	24	commerce	commerce	ADJ
fcis-19516	78	25	live	live	ADJ
fcis-19516	78	26	comments	comment	NOUN
fcis-19516	78	27	based	base	VERB
fcis-19516	78	28	on	on	ADP
fcis-19516	78	29	text	text	NOUN
fcis-19516	78	30	mining[j	mining[j	NOUN
fcis-19516	78	31	]	]	PUNCT
fcis-19516	78	32	.	.	PUNCT
fcis-19516	79	1	frontiers	frontier	NOUN
fcis-19516	79	2	in	in	ADP
fcis-19516	79	3	computing	computing	NOUN
fcis-19516	79	4	and	and	CCONJ
fcis-19516	79	5	intelligent	intelligent	ADJ
fcis-19516	79	6	systems	system	NOUN
fcis-19516	79	7	,	,	PUNCT
fcis-19516	79	8	2023	2023	NUM
fcis-19516	79	9	,	,	PUNCT
fcis-19516	79	10	6(3	6(3	NUM
fcis-19516	79	11	):	):	PUNCT
fcis-19516	79	12	34	34	NUM
fcis-19516	79	13	-	-	SYM
fcis-19516	79	14	36	36	NUM
fcis-19516	79	15	.	.	PUNCT
fcis-19516	80	1	[	[	X
fcis-19516	80	2	2	2	NUM
fcis-19516	80	3	]	]	X
fcis-19516	80	4	miao	miao	NOUN
fcis-19516	80	5	q	q	PROPN
fcis-19516	80	6	,	,	PUNCT
fcis-19516	80	7	li	li	PROPN
fcis-19516	80	8	q	q	PROPN
fcis-19516	80	9	,	,	PUNCT
fcis-19516	80	10	dai	dai	PROPN
fcis-19516	80	11	r.	r.	PROPN
fcis-19516	80	12	amazing	amazing	PROPN
fcis-19516	80	13	:	:	PUNCT
fcis-19516	80	14	a	a	DET
fcis-19516	80	15	sentiment	sentiment	NOUN
fcis-19516	80	16	mining	mining	NOUN
fcis-19516	80	17	and	and	CCONJ
fcis-19516	80	18	retrieval	retrieval	NOUN
fcis-19516	80	19	system[j	system[j	NOUN
fcis-19516	80	20	]	]	PUNCT
fcis-19516	80	21	.	.	PUNCT
fcis-19516	81	1	expert	expert	NOUN
fcis-19516	81	2	systems	system	NOUN
fcis-19516	81	3	with	with	ADP
fcis-19516	81	4	applications	application	NOUN
fcis-19516	81	5	,	,	PUNCT
fcis-19516	81	6	2009	2009	NUM
fcis-19516	81	7	,	,	PUNCT
fcis-19516	81	8	36(3	36(3	NUM
fcis-19516	81	9	):	):	PUNCT
fcis-19516	81	10	7192	7192	NUM
fcis-19516	81	11	-	-	SYM
fcis-19516	81	12	7198	7198	NUM
fcis-19516	81	13	.	.	PUNCT
fcis-19516	82	1	[	[	X
fcis-19516	82	2	3	3	X
fcis-19516	82	3	]	]	X
fcis-19516	82	4	narayanan	narayanan	PROPN
fcis-19516	82	5	r	r	PROPN
fcis-19516	82	6	,	,	PUNCT
fcis-19516	82	7	liu	liu	PROPN
fcis-19516	82	8	b	b	PROPN
fcis-19516	82	9	,	,	PUNCT
fcis-19516	82	10	choudhary	choudhary	PROPN
fcis-19516	82	11	a.	a.	PROPN
fcis-19516	82	12	sentiment	sentiment	PROPN
fcis-19516	82	13	analysis	analysis	NOUN
fcis-19516	82	14	of	of	ADP
fcis-19516	82	15	conditional	conditional	ADJ
fcis-19516	82	16	sentences[c]//proceedings	sentences[c]//proceeding	NOUN
fcis-19516	82	17	of	of	ADP
fcis-19516	82	18	the	the	DET
fcis-19516	82	19	2009	2009	NUM
fcis-19516	82	20	conference	conference	NOUN
fcis-19516	82	21	on	on	ADP
fcis-19516	82	22	empirical	empirical	ADJ
fcis-19516	82	23	methods	method	NOUN
fcis-19516	82	24	in	in	ADP
fcis-19516	82	25	natural	natural	ADJ
fcis-19516	82	26	language	language	NOUN
fcis-19516	82	27	processing	processing	NOUN
fcis-19516	82	28	.	.	PUNCT
fcis-19516	83	1	2009	2009	NUM
fcis-19516	83	2	:	:	PUNCT
fcis-19516	83	3	180	180	NUM
fcis-19516	83	4	-	-	SYM
fcis-19516	83	5	189	189	NUM
fcis-19516	83	6	.	.	PUNCT
fcis-19516	84	1	[	[	X
fcis-19516	84	2	4	4	X
fcis-19516	84	3	]	]	PUNCT
fcis-19516	84	4	bo	bo	PROPN
fcis-19516	84	5	pang	pang	PROPN
fcis-19516	84	6	,	,	PUNCT
fcis-19516	84	7	lillian	lillian	PROPN
fcis-19516	84	8	lee	lee	PROPN
fcis-19516	84	9	,	,	PUNCT
fcis-19516	84	10	shivakumar	shivakumar	PROPN
fcis-19516	84	11	vaithyanathan	vaithyanathan	PROPN
fcis-19516	84	12	.	.	PUNCT
fcis-19516	85	1	thumbs	thumb	VERB
fcis-19516	85	2	up	up	ADP
fcis-19516	85	3	?	?	PUNCT
fcis-19516	86	1	sentiment	sentiment	NOUN
fcis-19516	86	2	classification	classification	NOUN
fcis-19516	86	3	using	use	VERB
fcis-19516	86	4	machine	machine	NOUN
fcis-19516	86	5	learning	learn	VERB
fcis-19516	86	6	techniques	technique	NOUN
fcis-19516	86	7	[	[	X
fcis-19516	86	8	c]//	c]//	ADJ
fcis-19516	86	9	proceedings	proceeding	NOUN
fcis-19516	86	10	of	of	ADP
fcis-19516	86	11	the	the	DET
fcis-19516	86	12	acl-02	acl-02	ADJ
fcis-19516	86	13	conference	conference	NOUN
fcis-19516	86	14	on	on	ADP
fcis-19516	86	15	empirical	empirical	ADJ
fcis-19516	86	16	methods	method	NOUN
fcis-19516	86	17	in	in	ADP
fcis-19516	86	18	natural	natural	ADJ
fcis-19516	86	19	language	language	NOUN
fcis-19516	86	20	processing	processing	NOUN
fcis-19516	86	21	.	.	PUNCT
fcis-19516	87	1	2002	2002	NUM
fcis-19516	87	2	:	:	PUNCT
fcis-19516	88	1	79–86	79–86	NUM
fcis-19516	88	2	.	.	PUNCT
fcis-19516	89	1	[	[	X
fcis-19516	89	2	5	5	X
fcis-19516	89	3	]	]	X
fcis-19516	89	4	whitelaw	whitelaw	PROPN
fcis-19516	89	5	c	c	PROPN
fcis-19516	89	6	,	,	PUNCT
fcis-19516	89	7	garg	garg	NOUN
fcis-19516	89	8	n	n	CCONJ
fcis-19516	89	9	,	,	PUNCT
fcis-19516	89	10	argamon	argamon	PROPN
fcis-19516	89	11	s.	s.	PROPN
fcis-19516	89	12	using	use	VERB
fcis-19516	89	13	appraisal	appraisal	NOUN
fcis-19516	89	14	groups	group	NOUN
fcis-19516	89	15	for	for	ADP
fcis-19516	89	16	sentiment	sentiment	NOUN
fcis-19516	89	17	analysis[c]//proceedings	analysis[c]//proceedings	PROPN
fcis-19516	89	18	of	of	ADP
fcis-19516	89	19	the	the	DET
fcis-19516	89	20	14th	14th	ADJ
fcis-19516	89	21	acm	acm	PROPN
fcis-19516	89	22	international	international	ADJ
fcis-19516	89	23	conference	conference	NOUN
fcis-19516	89	24	on	on	ADP
fcis-19516	89	25	information	information	NOUN
fcis-19516	89	26	and	and	CCONJ
fcis-19516	89	27	knowledge	knowledge	NOUN
fcis-19516	89	28	management	management	NOUN
fcis-19516	89	29	.	.	PUNCT
fcis-19516	90	1	2005	2005	NUM
fcis-19516	90	2	:	:	PUNCT
fcis-19516	90	3	625	625	NUM
fcis-19516	90	4	-	-	SYM
fcis-19516	90	5	631	631	NUM
fcis-19516	90	6	.	.	PUNCT
fcis-19516	91	1	[	[	X
fcis-19516	91	2	6	6	NUM
fcis-19516	91	3	]	]	PUNCT
fcis-19516	91	4	elman	elman	PROPN
fcis-19516	91	5	j	j	PROPN
fcis-19516	91	6	l.	l.	PROPN
fcis-19516	91	7	finding	find	VERB
fcis-19516	91	8	structure	structure	NOUN
fcis-19516	91	9	in	in	ADP
fcis-19516	91	10	time[j	time[j	PROPN
fcis-19516	91	11	]	]	PUNCT
fcis-19516	91	12	.	.	PUNCT
fcis-19516	92	1	cognitive	cognitive	ADJ
fcis-19516	92	2	science	science	NOUN
fcis-19516	92	3	,	,	PUNCT
fcis-19516	92	4	1990	1990	NUM
fcis-19516	92	5	,	,	PUNCT
fcis-19516	92	6	14(2	14(2	NUM
fcis-19516	92	7	):	):	PUNCT
fcis-19516	92	8	179	179	NUM
fcis-19516	92	9	-	-	SYM
fcis-19516	92	10	211	211	NUM
fcis-19516	92	11	.	.	PUNCT
fcis-19516	93	1	[	[	X
fcis-19516	93	2	7	7	X
fcis-19516	93	3	]	]	X
fcis-19516	93	4	vaswani	vaswani	NOUN
fcis-19516	93	5	a	a	PRON
fcis-19516	93	6	,	,	PUNCT
fcis-19516	93	7	shazeer	shazeer	NOUN
fcis-19516	93	8	n	n	SYM
fcis-19516	93	9	,	,	PUNCT
fcis-19516	93	10	parmar	parmar	PROPN
fcis-19516	93	11	n	n	CCONJ
fcis-19516	93	12	,	,	PUNCT
fcis-19516	93	13	et	et	PROPN
fcis-19516	93	14	al	al	PROPN
fcis-19516	93	15	.	.	PUNCT
fcis-19516	93	16	attention	attention	NOUN
fcis-19516	93	17	is	be	AUX
fcis-19516	93	18	all	all	PRON
fcis-19516	93	19	you	you	PRON
fcis-19516	93	20	need	need	VERB
fcis-19516	93	21	[	[	X
fcis-19516	93	22	j	j	X
fcis-19516	93	23	]	]	X
fcis-19516	93	24	.	.	PUNCT
fcis-19516	94	1	advances	advance	NOUN
fcis-19516	94	2	in	in	ADP
fcis-19516	94	3	neural	neural	ADJ
fcis-19516	94	4	information	information	NOUN
fcis-19516	94	5	processing	processing	NOUN
fcis-19516	94	6	systems	system	NOUN
fcis-19516	94	7	,	,	PUNCT
fcis-19516	94	8	2017	2017	NUM
fcis-19516	94	9	,	,	PUNCT
fcis-19516	94	10	30	30	NUM
fcis-19516	94	11	.	.	PUNCT
fcis-19516	95	1	[	[	X
fcis-19516	95	2	8	8	NUM
fcis-19516	95	3	]	]	X
fcis-19516	95	4	zhang	zhang	PROPN
fcis-19516	95	5	j	j	PROPN
fcis-19516	95	6	,	,	PUNCT
fcis-19516	95	7	zhang	zhang	PROPN
fcis-19516	95	8	x	x	PROPN
fcis-19516	95	9	,	,	PUNCT
fcis-19516	95	10	liu	liu	PROPN
fcis-19516	95	11	z	z	PROPN
fcis-19516	95	12	,	,	PUNCT
fcis-19516	95	13	et	et	PROPN
fcis-19516	95	14	al	al	PROPN
fcis-19516	95	15	.	.	PUNCT
fcis-19516	96	1	a	a	DET
fcis-19516	96	2	network	network	NOUN
fcis-19516	96	3	intrusion	intrusion	NOUN
fcis-19516	96	4	detection	detection	NOUN
fcis-19516	96	5	model	model	NOUN
fcis-19516	96	6	based	base	VERB
fcis-19516	96	7	on	on	ADP
fcis-19516	96	8	bilstm	bilstm	NOUN
fcis-19516	96	9	with	with	ADP
fcis-19516	96	10	multi	multi	ADJ
fcis-19516	96	11	-	-	ADJ
fcis-19516	96	12	head	head	ADJ
fcis-19516	96	13	attention	attention	NOUN
fcis-19516	96	14	mechanism[j	mechanism[j	PROPN
fcis-19516	96	15	]	]	PUNCT
fcis-19516	96	16	.	.	PUNCT
fcis-19516	97	1	electronics	electronic	NOUN
fcis-19516	97	2	,	,	PUNCT
fcis-19516	97	3	2023	2023	NUM
fcis-19516	97	4	,	,	PUNCT
fcis-19516	97	5	12(19	12(19	NUM
fcis-19516	97	6	):	):	PUNCT
fcis-19516	97	7	4170	4170	NUM
fcis-19516	97	8	.	.	PUNCT
fcis-19516	98	1	[	[	X
fcis-19516	98	2	9	9	NUM
fcis-19516	98	3	]	]	X
fcis-19516	98	4	zhang	zhang	PROPN
fcis-19516	98	5	b.	b.	PROPN
fcis-19516	98	6	covid-19	covid-19	PROPN
fcis-19516	98	7	forecast	forecast	PROPN
fcis-19516	98	8	and	and	CCONJ
fcis-19516	98	9	bank	bank	NOUN
fcis-19516	98	10	credit	credit	NOUN
fcis-19516	98	11	decision	decision	NOUN
fcis-19516	98	12	model	model	NOUN
fcis-19516	98	13	based	base	VERB
fcis-19516	98	14	on	on	ADP
fcis-19516	98	15	bilstm	bilstm	NOUN
fcis-19516	98	16	-	-	PUNCT
fcis-19516	98	17	attention	attention	NOUN
fcis-19516	98	18	network[j	network[j	NOUN
fcis-19516	98	19	]	]	PUNCT
fcis-19516	98	20	.	.	PUNCT
fcis-19516	99	1	international	international	ADJ
fcis-19516	99	2	journal	journal	PROPN
fcis-19516	99	3	of	of	ADP
fcis-19516	99	4	computational	computational	ADJ
fcis-19516	99	5	intelligence	intelligence	NOUN
fcis-19516	99	6	systems	system	NOUN
fcis-19516	99	7	,	,	PUNCT
fcis-19516	99	8	2023	2023	NUM
fcis-19516	99	9	,	,	PUNCT
fcis-19516	99	10	16(1	16(1	NUM
fcis-19516	99	11	):	):	PUNCT
fcis-19516	99	12	159	159	NUM
fcis-19516	99	13	.	.	PUNCT