id	sid	tid	token	lemma	pos
fcis-7991	1	1	frontiers	frontier	NOUN
fcis-7991	1	2	in	in	ADP
fcis-7991	1	3	computing	computing	NOUN
fcis-7991	1	4	and	and	CCONJ
fcis-7991	1	5	intelligent	intelligent	ADJ
fcis-7991	1	6	systems	system	NOUN
fcis-7991	1	7	issn	issn	VERB
fcis-7991	1	8	:	:	PUNCT
fcis-7991	1	9	2832	2832	NUM
fcis-7991	1	10	-	-	SYM
fcis-7991	1	11	6024	6024	NUM
fcis-7991	1	12	|	|	NOUN
fcis-7991	1	13	vol	vol	NOUN
fcis-7991	1	14	.	.	PROPN
fcis-7991	2	1	3	3	NUM
fcis-7991	2	2	,	,	PUNCT
fcis-7991	2	3	no	no	INTJ
fcis-7991	2	4	.	.	NOUN
fcis-7991	2	5	3	3	NUM
fcis-7991	2	6	,	,	PUNCT
fcis-7991	2	7	2023	2023	NUM
fcis-7991	2	8	38	38	NUM
fcis-7991	2	9	quantum	quantum	NOUN
fcis-7991	2	10	-	-	PUNCT
fcis-7991	2	11	based	base	VERB
fcis-7991	2	12	detection	detection	NOUN
fcis-7991	2	13	of	of	ADP
fcis-7991	2	14	higly	higly	ADV
fcis-7991	2	15	semantically	semantically	ADV
fcis-7991	2	16	similar	similar	ADJ
fcis-7991	2	17	social	social	ADJ
fcis-7991	2	18	bot	bot	NOUN
fcis-7991	2	19	yulin	yulin	PROPN
fcis-7991	2	20	liu	liu	PROPN
fcis-7991	2	21	*	*	PROPN
fcis-7991	2	22	cyberspace	cyberspace	PROPN
fcis-7991	2	23	security	security	PROPN
fcis-7991	2	24	college	college	PROPN
fcis-7991	2	25	of	of	ADP
fcis-7991	2	26	chengdu	chengdu	PROPN
fcis-7991	2	27	university	university	PROPN
fcis-7991	2	28	of	of	ADP
fcis-7991	2	29	information	information	NOUN
fcis-7991	2	30	technology	technology	PROPN
fcis-7991	2	31	,	,	PUNCT
fcis-7991	2	32	chengdu	chengdu	PROPN
fcis-7991	2	33	,	,	PUNCT
fcis-7991	2	34	sichuan	sichuan	PROPN
fcis-7991	2	35	610225	610225	NUM
fcis-7991	2	36	,	,	PUNCT
fcis-7991	2	37	china	china	PROPN
fcis-7991	2	38	*	*	PUNCT
fcis-7991	2	39	corresponding	correspond	VERB
fcis-7991	2	40	author	author	NOUN
fcis-7991	2	41	email	email	NOUN
fcis-7991	2	42	:	:	PUNCT
fcis-7991	2	43	1045734823@qq.com	1045734823@qq.com	NUM
fcis-7991	2	44	abstract	abstract	NOUN
fcis-7991	2	45	:	:	PUNCT
fcis-7991	2	46	social	social	ADJ
fcis-7991	2	47	bot	bot	NOUN
fcis-7991	2	48	often	often	ADV
fcis-7991	2	49	publish	publish	VERB
fcis-7991	2	50	content	content	NOUN
fcis-7991	2	51	that	that	PRON
fcis-7991	2	52	has	have	VERB
fcis-7991	2	53	a	a	DET
fcis-7991	2	54	high	high	ADJ
fcis-7991	2	55	degree	degree	NOUN
fcis-7991	2	56	of	of	ADP
fcis-7991	2	57	similarity	similarity	NOUN
fcis-7991	2	58	in	in	ADP
fcis-7991	2	59	text	text	NOUN
fcis-7991	2	60	or	or	CCONJ
fcis-7991	2	61	semantics	semantic	NOUN
fcis-7991	2	62	.	.	PUNCT
fcis-7991	3	1	combining	combine	VERB
fcis-7991	3	2	this	this	DET
fcis-7991	3	3	feature	feature	NOUN
fcis-7991	3	4	,	,	PUNCT
fcis-7991	3	5	this	this	DET
fcis-7991	3	6	paper	paper	NOUN
fcis-7991	3	7	designs	design	VERB
fcis-7991	3	8	a	a	DET
fcis-7991	3	9	method	method	NOUN
fcis-7991	3	10	to	to	PART
fcis-7991	3	11	detect	detect	VERB
fcis-7991	3	12	social	social	ADJ
fcis-7991	3	13	bot	bot	NOUN
fcis-7991	3	14	.	.	PUNCT
fcis-7991	4	1	first	first	ADV
fcis-7991	4	2	,	,	PUNCT
fcis-7991	4	3	the	the	DET
fcis-7991	4	4	user	user	NOUN
fcis-7991	4	5	-	-	PUNCT
fcis-7991	4	6	published	publish	VERB
fcis-7991	4	7	text	text	NOUN
fcis-7991	4	8	is	be	AUX
fcis-7991	4	9	used	use	VERB
fcis-7991	4	10	as	as	ADP
fcis-7991	4	11	the	the	DET
fcis-7991	4	12	input	input	NOUN
fcis-7991	4	13	to	to	PART
fcis-7991	4	14	use	use	VERB
fcis-7991	4	15	sentiment	sentiment	NOUN
fcis-7991	4	16	analysis	analysis	NOUN
fcis-7991	4	17	and	and	CCONJ
fcis-7991	4	18	data	datum	NOUN
fcis-7991	4	19	cleaning	clean	VERB
fcis-7991	4	20	to	to	PART
fcis-7991	4	21	predict	predict	VERB
fcis-7991	4	22	the	the	DET
fcis-7991	4	23	content	content	NOUN
fcis-7991	4	24	.	.	PUNCT
fcis-7991	5	1	processing	processing	NOUN
fcis-7991	5	2	and	and	CCONJ
fcis-7991	5	3	classification	classification	NOUN
fcis-7991	5	4	,	,	PUNCT
fcis-7991	5	5	and	and	CCONJ
fcis-7991	5	6	then	then	ADV
fcis-7991	5	7	adding	add	VERB
fcis-7991	5	8	the	the	DET
fcis-7991	5	9	quantum	quantum	ADJ
fcis-7991	5	10	similarity	similarity	NOUN
fcis-7991	5	11	algorithm	algorithm	NOUN
fcis-7991	5	12	in	in	ADP
fcis-7991	5	13	the	the	DET
fcis-7991	5	14	emerging	emerge	VERB
fcis-7991	5	15	quantum	quantum	NOUN
fcis-7991	5	16	discipline	discipline	NOUN
fcis-7991	5	17	in	in	ADP
fcis-7991	5	18	recent	recent	ADJ
fcis-7991	5	19	years	year	NOUN
fcis-7991	5	20	to	to	ADP
fcis-7991	5	21	the	the	DET
fcis-7991	5	22	structural	structural	ADJ
fcis-7991	5	23	system	system	NOUN
fcis-7991	5	24	of	of	ADP
fcis-7991	5	25	social	social	ADJ
fcis-7991	5	26	bot	bot	NOUN
fcis-7991	5	27	detection	detection	NOUN
fcis-7991	5	28	to	to	PART
fcis-7991	5	29	perform	perform	VERB
fcis-7991	5	30	similarity	similarity	NOUN
fcis-7991	5	31	clustering	clustering	NOUN
fcis-7991	5	32	,	,	PUNCT
fcis-7991	5	33	which	which	PRON
fcis-7991	5	34	greatly	greatly	ADV
fcis-7991	5	35	improves	improve	VERB
fcis-7991	5	36	the	the	DET
fcis-7991	5	37	operating	operating	NOUN
fcis-7991	5	38	efficiency	efficiency	NOUN
fcis-7991	5	39	of	of	ADP
fcis-7991	5	40	the	the	DET
fcis-7991	5	41	system	system	NOUN
fcis-7991	5	42	,	,	PUNCT
fcis-7991	5	43	and	and	CCONJ
fcis-7991	5	44	then	then	ADV
fcis-7991	5	45	obtains	obtain	VERB
fcis-7991	5	46	the	the	DET
fcis-7991	5	47	corresponding	correspond	VERB
fcis-7991	5	48	user	user	NOUN
fcis-7991	5	49	attribute	attribute	NOUN
fcis-7991	5	50	characteristics	characteristic	NOUN
fcis-7991	5	51	for	for	ADP
fcis-7991	5	52	artificial	artificial	ADJ
fcis-7991	5	53	intelligence	intelligence	NOUN
fcis-7991	5	54	.	.	PUNCT
fcis-7991	6	1	intelligent	intelligent	ADJ
fcis-7991	6	2	algorithm	algorithm	NOUN
fcis-7991	6	3	classification	classification	NOUN
fcis-7991	6	4	,	,	PUNCT
fcis-7991	6	5	on	on	ADP
fcis-7991	6	6	the	the	DET
fcis-7991	6	7	collected	collect	VERB
fcis-7991	6	8	real	real	ADJ
fcis-7991	6	9	dataset	dataset	NOUN
fcis-7991	6	10	,	,	PUNCT
fcis-7991	6	11	marked	mark	VERB
fcis-7991	6	12	two	two	NUM
fcis-7991	6	13	social	social	ADJ
fcis-7991	6	14	bot	bot	NOUN
fcis-7991	6	15	groups	group	NOUN
fcis-7991	6	16	for	for	ADP
fcis-7991	6	17	machine	machine	NOUN
fcis-7991	6	18	learning	learn	VERB
fcis-7991	6	19	classification	classification	NOUN
fcis-7991	6	20	and	and	CCONJ
fcis-7991	6	21	detection	detection	NOUN
fcis-7991	6	22	,	,	PUNCT
fcis-7991	6	23	and	and	CCONJ
fcis-7991	6	24	listed	list	VERB
fcis-7991	6	25	two	two	NUM
fcis-7991	6	26	traditional	traditional	ADJ
fcis-7991	6	27	similarity	similarity	NOUN
fcis-7991	6	28	algorithms	algorithm	NOUN
fcis-7991	6	29	for	for	ADP
fcis-7991	6	30	comparison	comparison	NOUN
fcis-7991	6	31	,	,	PUNCT
fcis-7991	6	32	the	the	DET
fcis-7991	6	33	results	result	NOUN
fcis-7991	6	34	show	show	VERB
fcis-7991	6	35	that	that	SCONJ
fcis-7991	6	36	the	the	DET
fcis-7991	6	37	quantum	quantum	ADJ
fcis-7991	6	38	similarity	similarity	NOUN
fcis-7991	6	39	results	result	NOUN
fcis-7991	6	40	compared	compare	VERB
fcis-7991	6	41	with	with	ADP
fcis-7991	6	42	the	the	DET
fcis-7991	6	43	two	two	NUM
fcis-7991	6	44	traditional	traditional	ADJ
fcis-7991	6	45	similarity	similarity	NOUN
fcis-7991	6	46	algorithms	algorithm	NOUN
fcis-7991	6	47	,	,	PUNCT
fcis-7991	6	48	it	it	PRON
fcis-7991	6	49	has	have	AUX
fcis-7991	6	50	improved	improve	VERB
fcis-7991	6	51	,	,	PUNCT
fcis-7991	6	52	and	and	CCONJ
fcis-7991	6	53	the	the	DET
fcis-7991	6	54	average	average	ADJ
fcis-7991	6	55	accuracy	accuracy	NOUN
fcis-7991	6	56	improvement	improvement	NOUN
fcis-7991	6	57	was	be	AUX
fcis-7991	6	58	about	about	ADV
fcis-7991	6	59	2	2	NUM
fcis-7991	6	60	%	%	NOUN
fcis-7991	6	61	.	.	PUNCT
fcis-7991	7	1	keywords	keyword	NOUN
fcis-7991	7	2	:	:	PUNCT
fcis-7991	7	3	artificial	artificial	ADJ
fcis-7991	7	4	intelligence	intelligence	NOUN
fcis-7991	7	5	;	;	PUNCT
fcis-7991	7	6	social	social	ADJ
fcis-7991	7	7	bot	bot	NOUN
fcis-7991	7	8	;	;	PUNCT
fcis-7991	7	9	detection	detection	NOUN
fcis-7991	7	10	;	;	PUNCT
fcis-7991	7	11	machine	machine	NOUN
fcis-7991	7	12	learning	learning	NOUN
fcis-7991	7	13	.	.	PUNCT
fcis-7991	8	1	1	1	X
fcis-7991	8	2	.	.	X
fcis-7991	8	3	introduction	introduction	NOUN
fcis-7991	8	4	in	in	ADP
fcis-7991	8	5	recent	recent	ADJ
fcis-7991	8	6	years	year	NOUN
fcis-7991	8	7	,	,	PUNCT
fcis-7991	8	8	with	with	ADP
fcis-7991	8	9	the	the	DET
fcis-7991	8	10	development	development	NOUN
fcis-7991	8	11	of	of	ADP
fcis-7991	8	12	internet	internet	NOUN
fcis-7991	8	13	technology	technology	NOUN
fcis-7991	8	14	and	and	CCONJ
fcis-7991	8	15	the	the	DET
fcis-7991	8	16	substantial	substantial	ADJ
fcis-7991	8	17	improvement	improvement	NOUN
fcis-7991	8	18	of	of	ADP
fcis-7991	8	19	living	living	NOUN
fcis-7991	8	20	standards	standard	NOUN
fcis-7991	8	21	,	,	PUNCT
fcis-7991	8	22	people	people	NOUN
fcis-7991	8	23	's	's	PART
fcis-7991	8	24	tools	tool	NOUN
fcis-7991	8	25	for	for	ADP
fcis-7991	8	26	obtaining	obtain	VERB
fcis-7991	8	27	information	information	NOUN
fcis-7991	8	28	have	have	AUX
fcis-7991	8	29	gradually	gradually	ADV
fcis-7991	8	30	changed	change	VERB
fcis-7991	8	31	from	from	ADP
fcis-7991	8	32	the	the	DET
fcis-7991	8	33	previous	previous	ADJ
fcis-7991	8	34	tv	tv	NOUN
fcis-7991	8	35	,	,	PUNCT
fcis-7991	8	36	newspapers	newspaper	NOUN
fcis-7991	8	37	,	,	PUNCT
fcis-7991	8	38	etc	etc	X
fcis-7991	8	39	.	.	X
fcis-7991	8	40	to	to	ADP
fcis-7991	8	41	the	the	DET
fcis-7991	8	42	current	current	ADJ
fcis-7991	8	43	network	network	NOUN
fcis-7991	8	44	application	application	NOUN
fcis-7991	8	45	platform	platform	NOUN
fcis-7991	8	46	.	.	PUNCT
fcis-7991	9	1	as	as	ADV
fcis-7991	9	2	far	far	ADV
fcis-7991	9	3	as	as	SCONJ
fcis-7991	9	4	the	the	DET
fcis-7991	9	5	current	current	ADJ
fcis-7991	9	6	social	social	ADJ
fcis-7991	9	7	platforms	platform	NOUN
fcis-7991	9	8	are	be	AUX
fcis-7991	9	9	concerned	concern	VERB
fcis-7991	9	10	,	,	PUNCT
fcis-7991	9	11	such	such	ADJ
fcis-7991	9	12	as	as	ADP
fcis-7991	9	13	twitter	twitter	NOUN
fcis-7991	9	14	,	,	PUNCT
fcis-7991	9	15	facebook	facebook	PROPN
fcis-7991	9	16	and	and	CCONJ
fcis-7991	9	17	sina	sina	PROPN
fcis-7991	9	18	weibo	weibo	PROPN
fcis-7991	9	19	makes	make	VERB
fcis-7991	9	20	it	it	PRON
fcis-7991	9	21	easier	easy	ADJ
fcis-7991	9	22	for	for	SCONJ
fcis-7991	9	23	users	user	NOUN
fcis-7991	9	24	to	to	PART
fcis-7991	9	25	express	express	VERB
fcis-7991	9	26	their	their	PRON
fcis-7991	9	27	own	own	ADJ
fcis-7991	9	28	opinions	opinion	NOUN
fcis-7991	9	29	and	and	CCONJ
fcis-7991	9	30	understand	understand	VERB
fcis-7991	9	31	other	other	ADJ
fcis-7991	9	32	people	people	NOUN
fcis-7991	9	33	's	's	PART
fcis-7991	9	34	opinions	opinion	NOUN
fcis-7991	9	35	through	through	ADP
fcis-7991	9	36	the	the	DET
fcis-7991	9	37	internet	internet	NOUN
fcis-7991	9	38	,	,	PUNCT
fcis-7991	9	39	and	and	CCONJ
fcis-7991	9	40	provides	provide	VERB
fcis-7991	9	41	convenience	convenience	NOUN
fcis-7991	9	42	for	for	SCONJ
fcis-7991	9	43	users	user	NOUN
fcis-7991	9	44	to	to	PART
fcis-7991	9	45	contact	contact	VERB
fcis-7991	9	46	family	family	NOUN
fcis-7991	9	47	and	and	CCONJ
fcis-7991	9	48	friends	friend	NOUN
fcis-7991	9	49	,	,	PUNCT
fcis-7991	9	50	so	so	SCONJ
fcis-7991	9	51	that	that	SCONJ
fcis-7991	9	52	social	social	ADJ
fcis-7991	9	53	platforms	platform	NOUN
fcis-7991	9	54	have	have	AUX
fcis-7991	9	55	gained	gain	VERB
fcis-7991	9	56	a	a	DET
fcis-7991	9	57	lot	lot	NOUN
fcis-7991	9	58	of	of	ADP
fcis-7991	9	59	traffic	traffic	NOUN
fcis-7991	9	60	and	and	CCONJ
fcis-7991	9	61	attention	attention	NOUN
fcis-7991	9	62	,	,	PUNCT
fcis-7991	9	63	and	and	CCONJ
fcis-7991	9	64	this	this	DET
fcis-7991	9	65	trend	trend	NOUN
fcis-7991	9	66	will	will	AUX
fcis-7991	9	67	continue	continue	VERB
fcis-7991	9	68	to	to	PART
fcis-7991	9	69	accelerate	accelerate	VERB
fcis-7991	9	70	in	in	ADP
fcis-7991	9	71	the	the	DET
fcis-7991	9	72	future	future	NOUN
fcis-7991	9	73	.	.	PUNCT
fcis-7991	10	1	in	in	ADP
fcis-7991	10	2	addition	addition	NOUN
fcis-7991	10	3	to	to	ADP
fcis-7991	10	4	the	the	DET
fcis-7991	10	5	increasing	increase	VERB
fcis-7991	10	6	number	number	NOUN
fcis-7991	10	7	of	of	ADP
fcis-7991	10	8	users	user	NOUN
fcis-7991	10	9	,	,	PUNCT
fcis-7991	10	10	it	it	PRON
fcis-7991	10	11	has	have	AUX
fcis-7991	10	12	brought	bring	VERB
fcis-7991	10	13	many	many	ADJ
fcis-7991	10	14	hidden	hide	VERB
fcis-7991	10	15	dangers	danger	NOUN
fcis-7991	10	16	,	,	PUNCT
fcis-7991	10	17	among	among	ADP
fcis-7991	10	18	which	which	PRON
fcis-7991	10	19	the	the	DET
fcis-7991	10	20	public	public	ADJ
fcis-7991	10	21	opinion	opinion	NOUN
fcis-7991	10	22	influence	influence	NOUN
fcis-7991	10	23	of	of	ADP
fcis-7991	10	24	social	social	ADJ
fcis-7991	10	25	bot	bot	NOUN
fcis-7991	10	26	is	be	AUX
fcis-7991	10	27	a	a	DET
fcis-7991	10	28	very	very	ADV
fcis-7991	10	29	serious	serious	ADJ
fcis-7991	10	30	problem	problem	NOUN
fcis-7991	10	31	.	.	PUNCT
fcis-7991	11	1	a	a	DET
fcis-7991	11	2	class	class	NOUN
fcis-7991	11	3	of	of	ADP
fcis-7991	11	4	users	user	NOUN
fcis-7991	11	5	controlled	control	VERB
fcis-7991	11	6	by	by	ADP
fcis-7991	11	7	artificial	artificial	ADJ
fcis-7991	11	8	software	software	NOUN
fcis-7991	11	9	programs	program	NOUN
fcis-7991	11	10	is	be	AUX
fcis-7991	11	11	called	call	VERB
fcis-7991	11	12	social	social	ADJ
fcis-7991	11	13	bot	bot	NOUN
fcis-7991	11	14	.	.	PUNCT
fcis-7991	12	1	at	at	ADP
fcis-7991	12	2	first	first	ADV
fcis-7991	12	3	,	,	PUNCT
fcis-7991	12	4	social	social	ADJ
fcis-7991	12	5	bot	bot	NOUN
fcis-7991	12	6	was	be	AUX
fcis-7991	12	7	used	use	VERB
fcis-7991	12	8	to	to	PART
fcis-7991	12	9	provide	provide	VERB
fcis-7991	12	10	services	service	NOUN
fcis-7991	12	11	to	to	ADP
fcis-7991	12	12	users	user	NOUN
fcis-7991	12	13	,	,	PUNCT
fcis-7991	12	14	such	such	ADJ
fcis-7991	12	15	as	as	ADP
fcis-7991	12	16	automatically	automatically	ADV
fcis-7991	12	17	replying	reply	VERB
fcis-7991	12	18	to	to	ADP
fcis-7991	12	19	user	user	NOUN
fcis-7991	12	20	questions	question	NOUN
fcis-7991	12	21	.	.	PUNCT
fcis-7991	13	1	however	however	ADV
fcis-7991	13	2	,	,	PUNCT
fcis-7991	13	3	the	the	DET
fcis-7991	13	4	rise	rise	NOUN
fcis-7991	13	5	of	of	ADP
fcis-7991	13	6	malicious	malicious	ADJ
fcis-7991	13	7	social	social	ADJ
fcis-7991	13	8	bot	bot	NOUN
fcis-7991	13	9	has	have	VERB
fcis-7991	13	10	a	a	DET
fcis-7991	13	11	negative	negative	ADJ
fcis-7991	13	12	impact	impact	NOUN
fcis-7991	13	13	on	on	ADP
fcis-7991	13	14	other	other	ADJ
fcis-7991	13	15	users	user	NOUN
fcis-7991	13	16	and	and	CCONJ
fcis-7991	13	17	public	public	ADJ
fcis-7991	13	18	opinion	opinion	NOUN
fcis-7991	13	19	security	security	NOUN
fcis-7991	13	20	and	and	CCONJ
fcis-7991	13	21	even	even	ADV
fcis-7991	13	22	countries	country	NOUN
fcis-7991	13	23	.	.	PUNCT
fcis-7991	14	1	security	security	NOUN
fcis-7991	14	2	poses	pose	VERB
fcis-7991	14	3	a	a	DET
fcis-7991	14	4	great	great	ADJ
fcis-7991	14	5	threat	threat	NOUN
fcis-7991	14	6	.	.	PUNCT
fcis-7991	15	1	manipulators	manipulator	NOUN
fcis-7991	15	2	mainly	mainly	ADV
fcis-7991	15	3	manipulate	manipulate	VERB
fcis-7991	15	4	malicious	malicious	ADJ
fcis-7991	15	5	social	social	ADJ
fcis-7991	15	6	bot	bot	NOUN
fcis-7991	15	7	to	to	PART
fcis-7991	15	8	do	do	VERB
fcis-7991	15	9	three	three	NUM
fcis-7991	15	10	things	thing	NOUN
fcis-7991	15	11	out	out	ADP
fcis-7991	15	12	of	of	ADP
fcis-7991	15	13	profit	profit	NOUN
fcis-7991	15	14	:	:	PUNCT
fcis-7991	15	15	(	(	PUNCT
fcis-7991	15	16	1	1	X
fcis-7991	15	17	)	)	PUNCT
fcis-7991	15	18	focus	focus	NOUN
fcis-7991	15	19	on	on	ADP
fcis-7991	15	20	employer	employer	NOUN
fcis-7991	15	21	users	user	NOUN
fcis-7991	15	22	.	.	PUNCT
fcis-7991	16	1	in	in	ADP
fcis-7991	16	2	order	order	NOUN
fcis-7991	16	3	to	to	PART
fcis-7991	16	4	make	make	VERB
fcis-7991	16	5	the	the	DET
fcis-7991	16	6	account	account	NOUN
fcis-7991	16	7	look	look	VERB
fcis-7991	16	8	popular	popular	ADJ
fcis-7991	16	9	and	and	CCONJ
fcis-7991	16	10	well	well	ADV
fcis-7991	16	11	-	-	PUNCT
fcis-7991	16	12	known	know	VERB
fcis-7991	16	13	,	,	PUNCT
fcis-7991	16	14	employer	employer	NOUN
fcis-7991	16	15	users	user	NOUN
fcis-7991	16	16	will	will	AUX
fcis-7991	16	17	hire	hire	VERB
fcis-7991	16	18	operators	operator	NOUN
fcis-7991	16	19	to	to	PART
fcis-7991	16	20	follow	follow	VERB
fcis-7991	16	21	them	they	PRON
fcis-7991	16	22	and	and	CCONJ
fcis-7991	16	23	make	make	VERB
fcis-7991	16	24	their	their	PRON
fcis-7991	16	25	own	own	ADJ
fcis-7991	16	26	fans	fan	NOUN
fcis-7991	16	27	.	.	PUNCT
fcis-7991	17	1	a	a	DET
fcis-7991	17	2	large	large	ADJ
fcis-7991	17	3	amount	amount	NOUN
fcis-7991	17	4	of	of	ADP
fcis-7991	17	5	expansion	expansion	NOUN
fcis-7991	17	6	,	,	PUNCT
fcis-7991	17	7	which	which	PRON
fcis-7991	17	8	may	may	AUX
fcis-7991	17	9	cause	cause	VERB
fcis-7991	17	10	other	other	ADJ
fcis-7991	17	11	normal	normal	ADJ
fcis-7991	17	12	users	user	NOUN
fcis-7991	17	13	to	to	PART
fcis-7991	17	14	pay	pay	VERB
fcis-7991	17	15	attention	attention	NOUN
fcis-7991	17	16	to	to	ADP
fcis-7991	17	17	employer	employer	NOUN
fcis-7991	17	18	users	user	NOUN
fcis-7991	17	19	.	.	PUNCT
fcis-7991	18	1	(	(	PUNCT
fcis-7991	18	2	2	2	X
fcis-7991	18	3	)	)	PUNCT
fcis-7991	18	4	a	a	DET
fcis-7991	18	5	large	large	ADJ
fcis-7991	18	6	number	number	NOUN
fcis-7991	18	7	of	of	ADP
fcis-7991	18	8	false	false	ADJ
fcis-7991	18	9	comments	comment	NOUN
fcis-7991	18	10	,	,	PUNCT
fcis-7991	18	11	false	false	ADJ
fcis-7991	18	12	advertisements	advertisement	NOUN
fcis-7991	18	13	and	and	CCONJ
fcis-7991	18	14	rumors	rumor	NOUN
fcis-7991	18	15	are	be	AUX
fcis-7991	18	16	released	release	VERB
fcis-7991	18	17	to	to	PART
fcis-7991	18	18	mislead	mislead	VERB
fcis-7991	18	19	other	other	ADJ
fcis-7991	18	20	normal	normal	ADJ
fcis-7991	18	21	users	user	NOUN
fcis-7991	18	22	.	.	PUNCT
fcis-7991	19	1	for	for	ADP
fcis-7991	19	2	example	example	NOUN
fcis-7991	19	3	,	,	PUNCT
fcis-7991	19	4	during	during	ADP
fcis-7991	19	5	the	the	DET
fcis-7991	19	6	new	new	ADJ
fcis-7991	19	7	crown	crown	NOUN
fcis-7991	19	8	pneumonia	pneumonia	NOUN
fcis-7991	19	9	,	,	PUNCT
fcis-7991	19	10	malicious	malicious	ADJ
fcis-7991	19	11	social	social	ADJ
fcis-7991	19	12	bot	bot	NOUN
fcis-7991	19	13	posted	post	VERB
fcis-7991	19	14	more	more	ADV
fcis-7991	19	15	negative	negative	ADJ
fcis-7991	19	16	content	content	NOUN
fcis-7991	19	17	on	on	ADP
fcis-7991	19	18	the	the	DET
fcis-7991	19	19	internet	internet	NOUN
fcis-7991	19	20	than	than	ADP
fcis-7991	19	21	humans	human	NOUN
fcis-7991	19	22	,	,	PUNCT
fcis-7991	19	23	thus	thus	ADV
fcis-7991	19	24	amplifying	amplify	VERB
fcis-7991	19	25	people	people	NOUN
fcis-7991	19	26	's	's	PART
fcis-7991	19	27	emotions	emotion	NOUN
fcis-7991	19	28	and	and	CCONJ
fcis-7991	19	29	causing	cause	VERB
fcis-7991	19	30	panic	panic	NOUN
fcis-7991	19	31	,	,	PUNCT
fcis-7991	19	32	and	and	CCONJ
fcis-7991	19	33	even	even	ADV
fcis-7991	19	34	leading	lead	VERB
fcis-7991	19	35	the	the	DET
fcis-7991	19	36	blame	blame	NOUN
fcis-7991	19	37	to	to	ADP
fcis-7991	19	38	china	china	PROPN
fcis-7991	20	1	[	[	X
fcis-7991	20	2	1	1	NUM
fcis-7991	20	3	]	]	PUNCT
fcis-7991	20	4	.	.	PUNCT
fcis-7991	21	1	(	(	PUNCT
fcis-7991	21	2	3	3	X
fcis-7991	21	3	)	)	PUNCT
fcis-7991	21	4	the	the	DET
fcis-7991	21	5	third	third	ADJ
fcis-7991	21	6	category	category	NOUN
fcis-7991	21	7	is	be	AUX
fcis-7991	21	8	a	a	DET
fcis-7991	21	9	very	very	ADV
fcis-7991	21	10	dangerous	dangerous	ADJ
fcis-7991	21	11	category	category	NOUN
fcis-7991	21	12	.	.	PUNCT
fcis-7991	22	1	the	the	DET
fcis-7991	22	2	operators	operator	NOUN
fcis-7991	22	3	are	be	AUX
fcis-7991	22	4	malicious	malicious	ADJ
fcis-7991	22	5	social	social	ADJ
fcis-7991	22	6	bot	bot	NOUN
fcis-7991	22	7	participating	participate	VERB
fcis-7991	22	8	in	in	ADP
fcis-7991	22	9	national	national	ADJ
fcis-7991	22	10	politics	politic	NOUN
fcis-7991	22	11	.	.	PUNCT
fcis-7991	23	1	the	the	DET
fcis-7991	23	2	most	most	ADV
fcis-7991	23	3	famous	famous	ADJ
fcis-7991	23	4	one	one	NOUN
fcis-7991	23	5	is	be	AUX
fcis-7991	23	6	the	the	DET
fcis-7991	23	7	2016	2016	NUM
fcis-7991	23	8	us	us	PROPN
fcis-7991	23	9	election	election	NOUN
fcis-7991	23	10	.	.	PUNCT
fcis-7991	24	1	about	about	ADV
fcis-7991	24	2	19	19	NUM
fcis-7991	24	3	%	%	NOUN
fcis-7991	24	4	of	of	ADP
fcis-7991	24	5	related	related	ADJ
fcis-7991	24	6	tweets	tweet	NOUN
fcis-7991	24	7	are	be	AUX
fcis-7991	24	8	from	from	ADP
fcis-7991	24	9	social	social	ADJ
fcis-7991	24	10	bot	bot	NOUN
fcis-7991	24	11	.	.	PUNCT
fcis-7991	25	1	these	these	DET
fcis-7991	25	2	social	social	ADJ
fcis-7991	25	3	bots	bot	NOUN
fcis-7991	25	4	not	not	PART
fcis-7991	25	5	only	only	ADV
fcis-7991	25	6	affect	affect	VERB
fcis-7991	25	7	electoral	electoral	ADJ
fcis-7991	25	8	politics	politic	NOUN
fcis-7991	25	9	,	,	PUNCT
fcis-7991	25	10	but	but	CCONJ
fcis-7991	25	11	also	also	ADV
fcis-7991	25	12	the	the	DET
fcis-7991	25	13	economy	economy	NOUN
fcis-7991	25	14	and	and	CCONJ
fcis-7991	25	15	society	society	NOUN
fcis-7991	26	1	[	[	X
fcis-7991	26	2	2	2	NUM
fcis-7991	26	3	]	]	PUNCT
fcis-7991	26	4	.	.	PUNCT
fcis-7991	27	1	for	for	ADP
fcis-7991	27	2	social	social	ADJ
fcis-7991	27	3	bot	bot	NOUN
fcis-7991	27	4	,	,	PUNCT
fcis-7991	27	5	especially	especially	ADV
fcis-7991	27	6	malicious	malicious	ADJ
fcis-7991	27	7	ones	one	NOUN
fcis-7991	27	8	,	,	PUNCT
fcis-7991	27	9	the	the	DET
fcis-7991	27	10	research	research	NOUN
fcis-7991	27	11	work	work	NOUN
fcis-7991	27	12	of	of	ADP
fcis-7991	27	13	detecting	detect	VERB
fcis-7991	27	14	them	they	PRON
fcis-7991	27	15	can	can	AUX
fcis-7991	27	16	not	not	PART
fcis-7991	27	17	only	only	ADV
fcis-7991	27	18	lead	lead	VERB
fcis-7991	27	19	the	the	DET
fcis-7991	27	20	correct	correct	ADJ
fcis-7991	27	21	public	public	ADJ
fcis-7991	27	22	opinion	opinion	NOUN
fcis-7991	27	23	orientation	orientation	NOUN
fcis-7991	27	24	,	,	PUNCT
fcis-7991	27	25	but	but	CCONJ
fcis-7991	27	26	also	also	ADV
fcis-7991	27	27	further	far	ADV
fcis-7991	27	28	promote	promote	VERB
fcis-7991	27	29	the	the	DET
fcis-7991	27	30	stability	stability	NOUN
fcis-7991	27	31	of	of	ADP
fcis-7991	27	32	social	social	ADJ
fcis-7991	27	33	order	order	NOUN
fcis-7991	27	34	,	,	PUNCT
fcis-7991	27	35	so	so	CCONJ
fcis-7991	27	36	the	the	DET
fcis-7991	27	37	research	research	NOUN
fcis-7991	27	38	on	on	ADP
fcis-7991	27	39	its	its	PRON
fcis-7991	27	40	detection	detection	NOUN
fcis-7991	27	41	work	work	NOUN
fcis-7991	27	42	is	be	AUX
fcis-7991	27	43	very	very	ADV
fcis-7991	27	44	necessary	necessary	ADJ
fcis-7991	27	45	.	.	PUNCT
fcis-7991	28	1	this	this	DET
fcis-7991	28	2	paper	paper	NOUN
fcis-7991	28	3	mainly	mainly	ADV
fcis-7991	28	4	focuses	focus	VERB
fcis-7991	28	5	on	on	ADP
fcis-7991	28	6	the	the	DET
fcis-7991	28	7	detection	detection	NOUN
fcis-7991	28	8	of	of	ADP
fcis-7991	28	9	highly	highly	ADV
fcis-7991	28	10	semantically	semantically	ADV
fcis-7991	28	11	similar	similar	ADJ
fcis-7991	28	12	types	type	NOUN
fcis-7991	28	13	of	of	ADP
fcis-7991	28	14	social	social	ADJ
fcis-7991	28	15	bot	bot	NOUN
fcis-7991	28	16	,	,	PUNCT
fcis-7991	28	17	which	which	PRON
fcis-7991	28	18	must	must	AUX
fcis-7991	28	19	satisfy	satisfy	VERB
fcis-7991	28	20	a	a	DET
fcis-7991	28	21	specific	specific	ADJ
fcis-7991	28	22	topic	topic	NOUN
fcis-7991	28	23	,	,	PUNCT
fcis-7991	28	24	and	and	CCONJ
fcis-7991	28	25	the	the	DET
fcis-7991	28	26	topic	topic	NOUN
fcis-7991	28	27	meets	meet	VERB
fcis-7991	28	28	two	two	NUM
fcis-7991	28	29	characteristics	characteristic	NOUN
fcis-7991	28	30	(	(	PUNCT
fcis-7991	28	31	1	1	NUM
fcis-7991	28	32	)	)	PUNCT
fcis-7991	28	33	has	have	VERB
fcis-7991	28	34	value	value	NOUN
fcis-7991	28	35	,	,	PUNCT
fcis-7991	28	36	which	which	PRON
fcis-7991	28	37	means	mean	VERB
fcis-7991	28	38	that	that	SCONJ
fcis-7991	28	39	it	it	PRON
fcis-7991	28	40	has	have	VERB
fcis-7991	28	41	research	research	NOUN
fcis-7991	28	42	value	value	NOUN
fcis-7991	28	43	,	,	PUNCT
fcis-7991	28	44	and	and	CCONJ
fcis-7991	28	45	its	its	PRON
fcis-7991	28	46	topic	topic	NOUN
fcis-7991	28	47	can	can	AUX
fcis-7991	28	48	change	change	VERB
fcis-7991	28	49	the	the	DET
fcis-7991	28	50	direction	direction	NOUN
fcis-7991	28	51	of	of	ADP
fcis-7991	28	52	public	public	ADJ
fcis-7991	28	53	opinion	opinion	NOUN
fcis-7991	28	54	and	and	CCONJ
fcis-7991	28	55	the	the	DET
fcis-7991	28	56	safety	safety	NOUN
fcis-7991	28	57	of	of	ADP
fcis-7991	28	58	public	public	ADJ
fcis-7991	28	59	opinion	opinion	NOUN
fcis-7991	28	60	to	to	ADP
fcis-7991	28	61	a	a	DET
fcis-7991	28	62	certain	certain	ADJ
fcis-7991	28	63	extent	extent	NOUN
fcis-7991	28	64	.	.	PUNCT
fcis-7991	29	1	cause	cause	VERB
fcis-7991	29	2	impact	impact	NOUN
fcis-7991	29	3	.	.	PUNCT
fcis-7991	30	1	such	such	ADJ
fcis-7991	30	2	as	as	ADP
fcis-7991	30	3	the	the	DET
fcis-7991	30	4	new	new	ADJ
fcis-7991	30	5	crown	crown	NOUN
fcis-7991	30	6	virus	virus	NOUN
fcis-7991	30	7	,	,	PUNCT
fcis-7991	30	8	huawei	huawei	PROPN
fcis-7991	30	9	5	5	NUM
fcis-7991	30	10	g.	g.	NOUN
fcis-7991	30	11	(	(	PUNCT
fcis-7991	30	12	2	2	X
fcis-7991	30	13	)	)	PUNCT
fcis-7991	30	14	it	it	PRON
fcis-7991	30	15	is	be	AUX
fcis-7991	30	16	contagious	contagious	ADJ
fcis-7991	30	17	.	.	PUNCT
fcis-7991	31	1	the	the	DET
fcis-7991	31	2	literal	literal	ADJ
fcis-7991	31	3	meaning	meaning	NOUN
fcis-7991	31	4	here	here	ADV
fcis-7991	31	5	is	be	AUX
fcis-7991	31	6	that	that	SCONJ
fcis-7991	31	7	the	the	DET
fcis-7991	31	8	topic	topic	NOUN
fcis-7991	31	9	can	can	AUX
fcis-7991	31	10	spread	spread	VERB
fcis-7991	31	11	widely	widely	ADV
fcis-7991	31	12	.	.	PUNCT
fcis-7991	32	1	because	because	SCONJ
fcis-7991	32	2	of	of	ADP
fcis-7991	32	3	the	the	DET
fcis-7991	32	4	high	high	ADJ
fcis-7991	32	5	semantic	semantic	ADJ
fcis-7991	32	6	similarity	similarity	NOUN
fcis-7991	32	7	,	,	PUNCT
fcis-7991	32	8	the	the	DET
fcis-7991	32	9	experiment	experiment	NOUN
fcis-7991	32	10	will	will	AUX
fcis-7991	32	11	use	use	VERB
fcis-7991	32	12	the	the	DET
fcis-7991	32	13	similarity	similarity	NOUN
fcis-7991	32	14	algorithm	algorithm	NOUN
fcis-7991	32	15	for	for	ADP
fcis-7991	32	16	text	text	NOUN
fcis-7991	32	17	clustering	cluster	VERB
fcis-7991	32	18	to	to	PART
fcis-7991	32	19	filter	filter	VERB
fcis-7991	32	20	normal	normal	ADJ
fcis-7991	32	21	users	user	NOUN
fcis-7991	32	22	.	.	PUNCT
fcis-7991	33	1	the	the	DET
fcis-7991	33	2	traditional	traditional	ADJ
fcis-7991	33	3	similarity	similarity	NOUN
fcis-7991	33	4	algorithm	algorithm	NOUN
fcis-7991	33	5	is	be	AUX
fcis-7991	33	6	effective	effective	ADJ
fcis-7991	33	7	in	in	ADP
fcis-7991	33	8	text	text	NOUN
fcis-7991	33	9	,	,	PUNCT
fcis-7991	33	10	but	but	CCONJ
fcis-7991	33	11	lacks	lack	VERB
fcis-7991	33	12	in	in	ADP
fcis-7991	33	13	semantics	semantic	NOUN
fcis-7991	33	14	and	and	CCONJ
fcis-7991	33	15	can	can	AUX
fcis-7991	33	16	not	not	PART
fcis-7991	33	17	be	be	AUX
fcis-7991	33	18	taken	take	VERB
fcis-7991	33	19	into	into	ADP
fcis-7991	33	20	account	account	NOUN
fcis-7991	33	21	.	.	PUNCT
fcis-7991	34	1	this	this	DET
fcis-7991	34	2	paper	paper	NOUN
fcis-7991	34	3	proposes	propose	VERB
fcis-7991	34	4	to	to	PART
fcis-7991	34	5	use	use	VERB
fcis-7991	34	6	the	the	DET
fcis-7991	34	7	quantum	quantum	ADJ
fcis-7991	34	8	similarity	similarity	NOUN
fcis-7991	34	9	algorithm	algorithm	NOUN
fcis-7991	34	10	[	[	X
fcis-7991	34	11	3	3	X
fcis-7991	34	12	]	]	PUNCT
fcis-7991	34	13	that	that	PRON
fcis-7991	34	14	takes	take	VERB
fcis-7991	34	15	both	both	CCONJ
fcis-7991	34	16	semantic	semantic	ADJ
fcis-7991	34	17	and	and	CCONJ
fcis-7991	34	18	textual	textual	ADJ
fcis-7991	34	19	similarity	similarity	NOUN
fcis-7991	34	20	into	into	ADP
fcis-7991	34	21	account	account	NOUN
fcis-7991	34	22	in	in	ADP
fcis-7991	34	23	the	the	DET
fcis-7991	34	24	emerging	emerge	VERB
fcis-7991	34	25	quantum	quantum	NOUN
fcis-7991	34	26	disciplines	discipline	NOUN
fcis-7991	34	27	for	for	ADP
fcis-7991	34	28	experiments	experiment	NOUN
fcis-7991	34	29	,	,	PUNCT
fcis-7991	34	30	and	and	CCONJ
fcis-7991	34	31	selects	select	VERB
fcis-7991	34	32	two	two	NUM
fcis-7991	34	33	traditional	traditional	ADJ
fcis-7991	34	34	similarity	similarity	NOUN
fcis-7991	34	35	algorithms	algorithm	NOUN
fcis-7991	34	36	for	for	ADP
fcis-7991	34	37	comparative	comparative	ADJ
fcis-7991	34	38	experiments	experiment	NOUN
fcis-7991	34	39	.	.	PUNCT
fcis-7991	35	1	the	the	DET
fcis-7991	35	2	results	result	NOUN
fcis-7991	35	3	show	show	VERB
fcis-7991	35	4	that	that	SCONJ
fcis-7991	35	5	the	the	DET
fcis-7991	35	6	quantum	quantum	ADJ
fcis-7991	35	7	similarity	similarity	NOUN
fcis-7991	35	8	results	result	NOUN
fcis-7991	35	9	compared	compare	VERB
fcis-7991	35	10	with	with	ADP
fcis-7991	35	11	the	the	DET
fcis-7991	35	12	two	two	NUM
fcis-7991	35	13	traditional	traditional	ADJ
fcis-7991	35	14	similarity	similarity	NOUN
fcis-7991	35	15	algorithms	algorithm	NOUN
fcis-7991	35	16	,	,	PUNCT
fcis-7991	35	17	it	it	PRON
fcis-7991	35	18	has	have	AUX
fcis-7991	35	19	improved	improve	VERB
fcis-7991	35	20	.	.	PUNCT
fcis-7991	36	1	2	2	X
fcis-7991	36	2	.	.	X
fcis-7991	36	3	literature	literature	NOUN
fcis-7991	36	4	references	reference	NOUN
fcis-7991	36	5	at	at	ADP
fcis-7991	36	6	present	present	ADJ
fcis-7991	36	7	,	,	PUNCT
fcis-7991	36	8	the	the	DET
fcis-7991	36	9	mainstream	mainstream	ADJ
fcis-7991	36	10	social	social	ADJ
fcis-7991	36	11	bot	bot	NOUN
fcis-7991	36	12	detection	detection	NOUN
fcis-7991	36	13	is	be	AUX
fcis-7991	36	14	based	base	VERB
fcis-7991	36	15	on	on	ADP
fcis-7991	36	16	machine	machine	NOUN
fcis-7991	36	17	learning	learning	NOUN
fcis-7991	36	18	and	and	CCONJ
fcis-7991	36	19	graph	graph	NOUN
fcis-7991	36	20	detection	detection	NOUN
fcis-7991	36	21	methods	method	NOUN
fcis-7991	36	22	.	.	PUNCT
fcis-7991	37	1	2.1	2.1	NUM
fcis-7991	37	2	.	.	PUNCT
fcis-7991	37	3	machine	machine	NOUN
fcis-7991	37	4	learning	learning	NOUN
fcis-7991	37	5	based	base	VERB
fcis-7991	37	6	detection	detection	NOUN
fcis-7991	37	7	jorge	jorge	VERB
fcis-7991	38	1	[	[	X
fcis-7991	38	2	4	4	X
fcis-7991	38	3	]	]	PUNCT
fcis-7991	38	4	et	et	PROPN
fcis-7991	38	5	al	al	PROPN
fcis-7991	38	6	.	.	PROPN
fcis-7991	38	7	used	use	VERB
fcis-7991	38	8	a	a	DET
fcis-7991	38	9	single	single	ADJ
fcis-7991	38	10	-	-	PUNCT
fcis-7991	38	11	class	class	NOUN
fcis-7991	38	12	classifier	classifier	NOUN
fcis-7991	38	13	to	to	PART
fcis-7991	38	14	detect	detect	VERB
fcis-7991	38	15	social	social	ADJ
fcis-7991	38	16	bot	bot	NOUN
fcis-7991	38	17	,	,	PUNCT
fcis-7991	38	18	and	and	CCONJ
fcis-7991	38	19	the	the	DET
fcis-7991	38	20	accuracy	accuracy	NOUN
fcis-7991	38	21	rate	rate	NOUN
fcis-7991	38	22	exceeded	exceed	VERB
fcis-7991	38	23	0.89	0.89	NUM
fcis-7991	38	24	,	,	PUNCT
fcis-7991	38	25	and	and	CCONJ
fcis-7991	38	26	proved	prove	VERB
fcis-7991	38	27	by	by	ADP
fcis-7991	38	28	experiments	experiment	NOUN
fcis-7991	38	29	that	that	SCONJ
fcis-7991	38	30	in	in	ADP
fcis-7991	38	31	the	the	DET
fcis-7991	38	32	face	face	NOUN
fcis-7991	38	33	of	of	ADP
fcis-7991	38	34	the	the	DET
fcis-7991	38	35	diverse	diverse	ADJ
fcis-7991	38	36	types	type	NOUN
fcis-7991	38	37	of	of	ADP
fcis-7991	38	38	social	social	ADJ
fcis-7991	38	39	bot	bot	NOUN
fcis-7991	38	40	and	and	CCONJ
fcis-7991	38	41	the	the	DET
fcis-7991	38	42	status	status	NOUN
fcis-7991	38	43	quo	quo	NOUN
fcis-7991	38	44	of	of	ADP
fcis-7991	38	45	continuous	continuous	ADJ
fcis-7991	38	46	anti	anti	ADJ
fcis-7991	38	47	-	-	ADJ
fcis-7991	38	48	detection	detection	ADJ
fcis-7991	38	49	technology	technology	NOUN
fcis-7991	38	50	changes	change	NOUN
fcis-7991	38	51	,	,	PUNCT
fcis-7991	38	52	single	single	ADJ
fcis-7991	38	53	-	-	PUNCT
fcis-7991	38	54	class	class	NOUN
fcis-7991	38	55	detection	detection	NOUN
fcis-7991	38	56	is	be	AUX
fcis-7991	38	57	better	well	ADJ
fcis-7991	38	58	than	than	ADP
fcis-7991	38	59	binary	binary	ADJ
fcis-7991	38	60	classification	classification	NOUN
fcis-7991	38	61	.	.	PUNCT
fcis-7991	39	1	better	well	ADJ
fcis-7991	39	2	adaptability	adaptability	NOUN
fcis-7991	39	3	.	.	PUNCT
fcis-7991	40	1	due	due	ADP
fcis-7991	40	2	to	to	ADP
fcis-7991	40	3	the	the	DET
fcis-7991	40	4	dataset	dataset	ADJ
fcis-7991	40	5	imbalance	imbalance	NOUN
fcis-7991	40	6	problem	problem	NOUN
fcis-7991	40	7	,	,	PUNCT
fcis-7991	40	8	binwu[5	binwu[5	X
fcis-7991	40	9	]	]	X
fcis-7991	40	10	et	et	PROPN
fcis-7991	40	11	al	al	PROPN
fcis-7991	40	12	.	.	PROPN
fcis-7991	40	13	proposed	propose	VERB
fcis-7991	40	14	an	an	DET
fcis-7991	40	15	improved	improved	ADJ
fcis-7991	40	16	conditional	conditional	ADJ
fcis-7991	40	17	generative	generative	ADJ
fcis-7991	40	18	adversarial	adversarial	ADJ
fcis-7991	40	19	network	network	NOUN
fcis-7991	40	20	to	to	PART
fcis-7991	40	21	expand	expand	VERB
fcis-7991	40	22	the	the	DET
fcis-7991	40	23	dataset	dataset	NOUN
fcis-7991	40	24	,	,	PUNCT
fcis-7991	40	25	that	that	ADV
fcis-7991	40	26	is	is	ADV
fcis-7991	40	27	,	,	PUNCT
fcis-7991	40	28	combining	combine	VERB
fcis-7991	40	29	wasserstein	wasserstein	NOUN
fcis-7991	40	30	distance	distance	NOUN
fcis-7991	40	31	with	with	ADP
fcis-7991	40	32	gradient	gradient	ADJ
fcis-7991	40	33	penalty	penalty	NOUN
fcis-7991	40	34	and	and	CCONJ
fcis-7991	40	35	clustering	clustering	ADJ
fcis-7991	40	36	algorithms	algorithm	NOUN
fcis-7991	40	37	as	as	ADP
fcis-7991	40	38	a	a	DET
fcis-7991	40	39	new	new	ADJ
fcis-7991	40	40	data	data	NOUN
fcis-7991	40	41	augmentation	augmentation	NOUN
fcis-7991	40	42	39	39	NUM
fcis-7991	40	43	method	method	NOUN
fcis-7991	40	44	,	,	PUNCT
fcis-7991	40	45	in	in	ADP
fcis-7991	40	46	order	order	NOUN
fcis-7991	40	47	to	to	PART
fcis-7991	40	48	improve	improve	VERB
fcis-7991	40	49	the	the	DET
fcis-7991	40	50	accuracy	accuracy	NOUN
fcis-7991	40	51	of	of	ADP
fcis-7991	40	52	social	social	ADJ
fcis-7991	40	53	bot	bot	NOUN
fcis-7991	40	54	detection	detection	NOUN
fcis-7991	40	55	,	,	PUNCT
fcis-7991	40	56	experiments	experiment	NOUN
fcis-7991	40	57	show	show	VERB
fcis-7991	40	58	that	that	SCONJ
fcis-7991	40	59	the	the	DET
fcis-7991	40	60	f1	f1	NOUN
fcis-7991	40	61	score	score	NOUN
fcis-7991	40	62	is	be	AUX
fcis-7991	40	63	97.56	97.56	NUM
fcis-7991	40	64	%	%	NOUN
fcis-7991	40	65	.	.	PUNCT
fcis-7991	41	1	feng	feng	PROPN
fcis-7991	41	2	et	et	PROPN
fcis-7991	41	3	al	al	PROPN
fcis-7991	41	4	.	.	PUNCT
fcis-7991	42	1	[	[	X
fcis-7991	42	2	6	6	NUM
fcis-7991	42	3	]	]	PUNCT
fcis-7991	42	4	proposed	propose	VERB
fcis-7991	42	5	a	a	DET
fcis-7991	42	6	method	method	NOUN
fcis-7991	42	7	called	call	VERB
fcis-7991	42	8	botflowmon	botflowmon	NOUN
fcis-7991	42	9	to	to	PART
fcis-7991	42	10	detect	detect	VERB
fcis-7991	42	11	social	social	ADJ
fcis-7991	42	12	bot	bot	NOUN
fcis-7991	42	13	from	from	ADP
fcis-7991	42	14	the	the	DET
fcis-7991	42	15	perspective	perspective	NOUN
fcis-7991	42	16	of	of	ADP
fcis-7991	42	17	network	network	NOUN
fcis-7991	42	18	data	datum	NOUN
fcis-7991	42	19	traffic	traffic	NOUN
fcis-7991	42	20	.	.	PUNCT
fcis-7991	43	1	the	the	DET
fcis-7991	43	2	experimental	experimental	ADJ
fcis-7991	43	3	results	result	NOUN
fcis-7991	43	4	show	show	VERB
fcis-7991	43	5	that	that	SCONJ
fcis-7991	43	6	botflowmon	botflowmon	NOUN
fcis-7991	43	7	has	have	VERB
fcis-7991	43	8	an	an	DET
fcis-7991	43	9	accuracy	accuracy	NOUN
fcis-7991	43	10	rate	rate	NOUN
fcis-7991	43	11	of	of	ADP
fcis-7991	43	12	96.1	96.1	NUM
fcis-7991	43	13	%	%	NOUN
fcis-7991	43	14	and	and	CCONJ
fcis-7991	43	15	can	can	AUX
fcis-7991	43	16	see	see	VERB
fcis-7991	43	17	social	social	ADJ
fcis-7991	43	18	bot	bot	NOUN
fcis-7991	43	19	in	in	ADP
fcis-7991	43	20	an	an	DET
fcis-7991	43	21	average	average	NOUN
fcis-7991	43	22	of	of	ADP
fcis-7991	43	23	0.71	0.71	NUM
fcis-7991	43	24	seconds	second	NOUN
fcis-7991	43	25	.	.	PUNCT
fcis-7991	44	1	traffic	traffic	NOUN
fcis-7991	44	2	.	.	PUNCT
fcis-7991	45	1	compared	compare	VERB
fcis-7991	45	2	with	with	ADP
fcis-7991	45	3	traditional	traditional	ADJ
fcis-7991	45	4	machine	machine	NOUN
fcis-7991	45	5	learning	learn	VERB
fcis-7991	45	6	detection	detection	NOUN
fcis-7991	45	7	methods	method	NOUN
fcis-7991	45	8	,	,	PUNCT
fcis-7991	45	9	deep	deep	ADJ
fcis-7991	45	10	learning	learning	NOUN
fcis-7991	45	11	detection	detection	NOUN
fcis-7991	45	12	methods	method	NOUN
fcis-7991	45	13	are	be	AUX
fcis-7991	45	14	more	more	ADV
fcis-7991	45	15	suitable	suitable	ADJ
fcis-7991	45	16	for	for	ADP
fcis-7991	45	17	processing	process	VERB
fcis-7991	45	18	big	big	ADJ
fcis-7991	45	19	data	datum	NOUN
fcis-7991	45	20	.	.	PUNCT
fcis-7991	46	1	wu	wu	PROPN
fcis-7991	46	2	et	et	PROPN
fcis-7991	46	3	al	al	PROPN
fcis-7991	46	4	.	.	PUNCT
fcis-7991	47	1	[	[	X
fcis-7991	47	2	7	7	X
fcis-7991	47	3	]	]	PUNCT
fcis-7991	47	4	designed	design	VERB
fcis-7991	47	5	a	a	DET
fcis-7991	47	6	social	social	ADJ
fcis-7991	47	7	bot	bot	NOUN
fcis-7991	47	8	detection	detection	NOUN
fcis-7991	47	9	structure	structure	NOUN
fcis-7991	47	10	based	base	VERB
fcis-7991	47	11	on	on	ADP
fcis-7991	47	12	deep	deep	ADJ
fcis-7991	47	13	neural	neural	ADJ
fcis-7991	47	14	network	network	NOUN
fcis-7991	47	15	and	and	CCONJ
fcis-7991	47	16	active	active	ADJ
fcis-7991	47	17	learning	learning	NOUN
fcis-7991	47	18	.	.	PUNCT
fcis-7991	48	1	30	30	NUM
fcis-7991	48	2	features	feature	NOUN
fcis-7991	48	3	were	be	AUX
fcis-7991	48	4	extracted	extract	VERB
fcis-7991	48	5	from	from	ADP
fcis-7991	48	6	four	four	NUM
fcis-7991	48	7	types	type	NOUN
fcis-7991	48	8	of	of	ADP
fcis-7991	48	9	tweet	tweet	NOUN
fcis-7991	48	10	content	content	NOUN
fcis-7991	48	11	,	,	PUNCT
fcis-7991	48	12	tweet	tweet	NOUN
fcis-7991	48	13	comments	comment	NOUN
fcis-7991	48	14	,	,	PUNCT
fcis-7991	48	15	likes	like	NOUN
fcis-7991	48	16	and	and	CCONJ
fcis-7991	48	17	other	other	ADJ
fcis-7991	48	18	interactive	interactive	ADJ
fcis-7991	48	19	information	information	NOUN
fcis-7991	48	20	,	,	PUNCT
fcis-7991	48	21	and	and	CCONJ
fcis-7991	48	22	time	time	NOUN
fcis-7991	48	23	information	information	NOUN
fcis-7991	48	24	to	to	PART
fcis-7991	48	25	detect	detect	VERB
fcis-7991	48	26	social	social	ADJ
fcis-7991	48	27	bot	bot	NOUN
fcis-7991	48	28	,	,	PUNCT
fcis-7991	48	29	including	include	VERB
fcis-7991	48	30	9	9	NUM
fcis-7991	48	31	self	self	NOUN
fcis-7991	48	32	-	-	PUNCT
fcis-7991	48	33	created	create	VERB
fcis-7991	48	34	features	feature	NOUN
fcis-7991	48	35	,	,	PUNCT
fcis-7991	48	36	and	and	CCONJ
fcis-7991	48	37	an	an	DET
fcis-7991	48	38	active	active	ADJ
fcis-7991	48	39	learning	learning	NOUN
fcis-7991	48	40	method	method	NOUN
fcis-7991	48	41	was	be	AUX
fcis-7991	48	42	designed	design	VERB
fcis-7991	48	43	to	to	PART
fcis-7991	48	44	effectively	effectively	ADV
fcis-7991	48	45	expand	expand	VERB
fcis-7991	48	46	data	datum	NOUN
fcis-7991	48	47	labels	label	NOUN
fcis-7991	48	48	,	,	PUNCT
fcis-7991	48	49	the	the	DET
fcis-7991	48	50	accuracy	accuracy	NOUN
fcis-7991	48	51	rate	rate	NOUN
fcis-7991	48	52	reached	reach	VERB
fcis-7991	48	53	98.87	98.87	NUM
fcis-7991	48	54	%	%	NOUN
fcis-7991	48	55	.	.	PUNCT
fcis-7991	49	1	sneha	sneha	PROPN
fcis-7991	49	2	kudugunta	kudugunta	PROPN
fcis-7991	49	3	et	et	PROPN
fcis-7991	49	4	al	al	PROPN
fcis-7991	49	5	.	.	PUNCT
fcis-7991	50	1	[	[	X
fcis-7991	50	2	8	8	NUM
fcis-7991	50	3	]	]	PUNCT
fcis-7991	50	4	proposed	propose	VERB
fcis-7991	50	5	a	a	DET
fcis-7991	50	6	deep	deep	ADJ
fcis-7991	50	7	neural	neural	ADJ
fcis-7991	50	8	network	network	NOUN
fcis-7991	50	9	based	base	VERB
fcis-7991	50	10	on	on	ADP
fcis-7991	50	11	a	a	DET
fcis-7991	50	12	contextual	contextual	ADJ
fcis-7991	50	13	longterm	longterm	ADJ
fcis-7991	50	14	short	short	ADJ
fcis-7991	50	15	-	-	PUNCT
fcis-7991	50	16	term	term	NOUN
fcis-7991	50	17	memory	memory	NOUN
fcis-7991	50	18	(	(	PUNCT
fcis-7991	50	19	lstm	lstm	ADJ
fcis-7991	50	20	)	)	PUNCT
fcis-7991	50	21	architecture	architecture	NOUN
fcis-7991	50	22	,	,	PUNCT
fcis-7991	50	23	which	which	PRON
fcis-7991	50	24	takes	take	VERB
fcis-7991	50	25	both	both	CCONJ
fcis-7991	50	26	the	the	DET
fcis-7991	50	27	tweet	tweet	NOUN
fcis-7991	50	28	content	content	NOUN
fcis-7991	50	29	and	and	CCONJ
fcis-7991	50	30	the	the	DET
fcis-7991	50	31	user	user	NOUN
fcis-7991	50	32	's	's	PART
fcis-7991	50	33	personal	personal	ADJ
fcis-7991	50	34	information	information	NOUN
fcis-7991	50	35	as	as	ADP
fcis-7991	50	36	input	input	NOUN
fcis-7991	50	37	,	,	PUNCT
fcis-7991	50	38	and	and	CCONJ
fcis-7991	50	39	uses	use	VERB
fcis-7991	50	40	fewer	few	ADJ
fcis-7991	50	41	features	feature	NOUN
fcis-7991	50	42	to	to	PART
fcis-7991	50	43	detect	detect	VERB
fcis-7991	50	44	social	social	ADJ
fcis-7991	50	45	bot	bot	NOUN
fcis-7991	50	46	,	,	PUNCT
fcis-7991	50	47	but	but	CCONJ
fcis-7991	50	48	the	the	DET
fcis-7991	50	49	accuracy	accuracy	NOUN
fcis-7991	50	50	of	of	ADP
fcis-7991	50	51	the	the	DET
fcis-7991	50	52	results	result	NOUN
fcis-7991	50	53	is	be	AUX
fcis-7991	50	54	good	good	ADJ
fcis-7991	50	55	,	,	PUNCT
fcis-7991	50	56	exceeding	exceed	VERB
fcis-7991	50	57	96	96	NUM
fcis-7991	50	58	%	%	NOUN
fcis-7991	50	59	.	.	PUNCT
fcis-7991	51	1	greeshma	greeshma	NOUN
fcis-7991	51	2	lingam	lingam	NOUN
fcis-7991	52	1	[	[	X
fcis-7991	52	2	9	9	NUM
fcis-7991	52	3	]	]	PUNCT
fcis-7991	52	4	et	et	PROPN
fcis-7991	52	5	al	al	PROPN
fcis-7991	52	6	.	.	PROPN
fcis-7991	52	7	designed	design	VERB
fcis-7991	52	8	a	a	DET
fcis-7991	52	9	deep	deep	ADJ
fcis-7991	52	10	q	q	ADJ
fcis-7991	52	11	-	-	PUNCT
fcis-7991	52	12	network	network	NOUN
fcis-7991	52	13	model	model	NOUN
fcis-7991	52	14	,	,	PUNCT
fcis-7991	52	15	which	which	PRON
fcis-7991	52	16	takes	take	VERB
fcis-7991	52	17	the	the	DET
fcis-7991	52	18	content	content	NOUN
fcis-7991	52	19	attributes	attribute	NOUN
fcis-7991	52	20	of	of	ADP
fcis-7991	52	21	tweets	tweet	NOUN
fcis-7991	52	22	,	,	PUNCT
fcis-7991	52	23	user	user	NOUN
fcis-7991	52	24	personal	personal	ADJ
fcis-7991	52	25	information	information	NOUN
fcis-7991	52	26	content	content	NOUN
fcis-7991	52	27	attributes	attribute	VERB
fcis-7991	52	28	and	and	CCONJ
fcis-7991	52	29	social	social	ADJ
fcis-7991	52	30	relationship	relationship	NOUN
fcis-7991	52	31	attributes	attribute	VERB
fcis-7991	52	32	as	as	ADP
fcis-7991	52	33	input	input	NOUN
fcis-7991	52	34	and	and	CCONJ
fcis-7991	52	35	deep	deep	ADJ
fcis-7991	52	36	q	q	ADJ
fcis-7991	52	37	-	-	PUNCT
fcis-7991	52	38	learning	learn	VERB
fcis-7991	52	39	model	model	NOUN
fcis-7991	52	40	.	.	PUNCT
fcis-7991	53	1	combined	combine	VERB
fcis-7991	53	2	,	,	PUNCT
fcis-7991	53	3	based	base	VERB
fcis-7991	53	4	on	on	ADP
fcis-7991	53	5	the	the	DET
fcis-7991	53	6	q	q	ADJ
fcis-7991	53	7	-	-	PUNCT
fcis-7991	53	8	value	value	NOUN
fcis-7991	53	9	function	function	NOUN
fcis-7991	53	10	to	to	PART
fcis-7991	53	11	detect	detect	VERB
fcis-7991	53	12	social	social	ADJ
fcis-7991	53	13	bot	bot	NOUN
fcis-7991	53	14	,	,	PUNCT
fcis-7991	53	15	the	the	DET
fcis-7991	53	16	overall	overall	ADJ
fcis-7991	53	17	accuracy	accuracy	NOUN
fcis-7991	53	18	rate	rate	NOUN
fcis-7991	53	19	has	have	AUX
fcis-7991	53	20	reached	reach	VERB
fcis-7991	53	21	93	93	NUM
fcis-7991	53	22	%	%	NOUN
fcis-7991	53	23	.	.	PUNCT
fcis-7991	54	1	2.2	2.2	NUM
fcis-7991	54	2	.	.	PUNCT
fcis-7991	54	3	graph	graph	NOUN
fcis-7991	54	4	-	-	PUNCT
fcis-7991	54	5	based	base	VERB
fcis-7991	54	6	detection	detection	NOUN
fcis-7991	54	7	methods	method	NOUN
fcis-7991	54	8	in	in	ADP
fcis-7991	54	9	graph	graph	NOUN
fcis-7991	54	10	-	-	PUNCT
fcis-7991	54	11	based	base	VERB
fcis-7991	54	12	detection	detection	NOUN
fcis-7991	54	13	,	,	PUNCT
fcis-7991	54	14	social	social	ADJ
fcis-7991	54	15	bot	bot	NOUN
fcis-7991	54	16	are	be	AUX
fcis-7991	54	17	generally	generally	ADV
fcis-7991	54	18	referred	refer	VERB
fcis-7991	54	19	to	to	ADP
fcis-7991	54	20	as	as	ADP
fcis-7991	54	21	sybils	sybil	NOUN
fcis-7991	54	22	and	and	CCONJ
fcis-7991	54	23	are	be	AUX
fcis-7991	54	24	often	often	ADV
fcis-7991	54	25	used	use	VERB
fcis-7991	54	26	to	to	PART
fcis-7991	54	27	forge	forge	VERB
fcis-7991	54	28	or	or	CCONJ
fcis-7991	54	29	create	create	VERB
fcis-7991	54	30	multiple	multiple	ADJ
fcis-7991	54	31	identities	identity	NOUN
fcis-7991	54	32	to	to	PART
fcis-7991	54	33	launch	launch	VERB
fcis-7991	54	34	malicious	malicious	ADJ
fcis-7991	54	35	campaigns	campaign	NOUN
fcis-7991	54	36	.	.	PUNCT
fcis-7991	55	1	gao	gao	PROPN
fcis-7991	55	2	et	et	PROPN
fcis-7991	55	3	al	al	PROPN
fcis-7991	55	4	.	.	PUNCT
fcis-7991	56	1	[	[	X
fcis-7991	56	2	10	10	NUM
fcis-7991	56	3	]	]	PUNCT
fcis-7991	56	4	designed	design	VERB
fcis-7991	56	5	a	a	DET
fcis-7991	56	6	framework	framework	NOUN
fcis-7991	56	7	,	,	PUNCT
fcis-7991	56	8	sybilframe	sybilframe	NOUN
fcis-7991	56	9	,	,	PUNCT
fcis-7991	56	10	which	which	PRON
fcis-7991	56	11	is	be	AUX
fcis-7991	56	12	mainly	mainly	ADV
fcis-7991	56	13	based	base	VERB
fcis-7991	56	14	on	on	ADP
fcis-7991	56	15	graphs	graph	NOUN
fcis-7991	56	16	and	and	CCONJ
fcis-7991	56	17	combined	combine	VERB
fcis-7991	56	18	with	with	ADP
fcis-7991	56	19	machine	machine	NOUN
fcis-7991	56	20	learning	learning	NOUN
fcis-7991	56	21	as	as	ADP
fcis-7991	56	22	an	an	DET
fcis-7991	56	23	auxiliary	auxiliary	ADJ
fcis-7991	56	24	method	method	NOUN
fcis-7991	56	25	to	to	PART
fcis-7991	56	26	detect	detect	VERB
fcis-7991	56	27	sybil	sybil	NOUN
fcis-7991	56	28	.	.	PUNCT
fcis-7991	57	1	sybilframe	sybilframe	PROPN
fcis-7991	57	2	is	be	AUX
fcis-7991	57	3	a	a	DET
fcis-7991	57	4	multi	multi	ADJ
fcis-7991	57	5	-	-	ADJ
fcis-7991	57	6	stage	stage	ADJ
fcis-7991	57	7	classification	classification	NOUN
fcis-7991	57	8	method	method	NOUN
fcis-7991	57	9	.	.	PUNCT
fcis-7991	58	1	the	the	DET
fcis-7991	58	2	first	first	ADJ
fcis-7991	58	3	stage	stage	NOUN
fcis-7991	58	4	extracts	extract	VERB
fcis-7991	58	5	useful	useful	ADJ
fcis-7991	58	6	information	information	NOUN
fcis-7991	58	7	on	on	ADP
fcis-7991	58	8	the	the	DET
fcis-7991	58	9	dataset	dataset	NOUN
fcis-7991	58	10	,	,	PUNCT
fcis-7991	58	11	the	the	DET
fcis-7991	58	12	second	second	ADJ
fcis-7991	58	13	stage	stage	NOUN
fcis-7991	58	14	is	be	AUX
fcis-7991	58	15	the	the	DET
fcis-7991	58	16	postinference	postinference	NOUN
fcis-7991	58	17	layer	layer	NOUN
fcis-7991	58	18	.	.	PUNCT
fcis-7991	59	1	experimental	experimental	ADJ
fcis-7991	59	2	results	result	NOUN
fcis-7991	59	3	on	on	ADP
fcis-7991	59	4	large	large	ADJ
fcis-7991	59	5	-	-	PUNCT
fcis-7991	59	6	scale	scale	NOUN
fcis-7991	59	7	datasets	dataset	NOUN
fcis-7991	59	8	show	show	VERB
fcis-7991	59	9	that	that	SCONJ
fcis-7991	59	10	sybilframe	sybilframe	NOUN
fcis-7991	59	11	performs	perform	VERB
fcis-7991	59	12	much	much	ADV
fcis-7991	59	13	better	well	ADJ
fcis-7991	59	14	than	than	ADP
fcis-7991	59	15	previous	previous	ADJ
fcis-7991	59	16	methods	method	NOUN
fcis-7991	59	17	,	,	PUNCT
fcis-7991	59	18	but	but	CCONJ
fcis-7991	59	19	the	the	DET
fcis-7991	59	20	disadvantage	disadvantage	NOUN
fcis-7991	59	21	is	be	AUX
fcis-7991	59	22	that	that	SCONJ
fcis-7991	59	23	the	the	DET
fcis-7991	59	24	accuracy	accuracy	NOUN
fcis-7991	59	25	depends	depend	VERB
fcis-7991	59	26	on	on	ADP
fcis-7991	59	27	the	the	DET
fcis-7991	59	28	external	external	ADJ
fcis-7991	59	29	classifier	classifier	NOUN
fcis-7991	59	30	.	.	PUNCT
fcis-7991	60	1	the	the	DET
fcis-7991	60	2	classic	classic	ADJ
fcis-7991	60	3	graph	graph	NOUN
fcis-7991	60	4	-	-	PUNCT
fcis-7991	60	5	based	base	VERB
fcis-7991	60	6	detection	detection	NOUN
fcis-7991	60	7	sybil	sybil	NOUN
fcis-7991	60	8	method	method	NOUN
fcis-7991	60	9	believes	believe	VERB
fcis-7991	60	10	that	that	SCONJ
fcis-7991	60	11	sybil	sybil	NOUN
fcis-7991	60	12	is	be	AUX
fcis-7991	60	13	only	only	ADV
fcis-7991	60	14	connected	connect	VERB
fcis-7991	60	15	to	to	ADP
fcis-7991	60	16	a	a	DET
fcis-7991	60	17	small	small	ADJ
fcis-7991	60	18	number	number	NOUN
fcis-7991	60	19	of	of	ADP
fcis-7991	60	20	normal	normal	ADJ
fcis-7991	60	21	users	user	NOUN
fcis-7991	60	22	,	,	PUNCT
fcis-7991	60	23	and	and	CCONJ
fcis-7991	60	24	this	this	DET
fcis-7991	60	25	view	view	NOUN
fcis-7991	60	26	does	do	AUX
fcis-7991	60	27	not	not	PART
fcis-7991	60	28	hold	hold	VERB
fcis-7991	60	29	in	in	ADP
fcis-7991	60	30	real	real	ADJ
fcis-7991	60	31	social	social	ADJ
fcis-7991	60	32	networks	network	NOUN
fcis-7991	60	33	.	.	PUNCT
fcis-7991	61	1	in	in	ADP
fcis-7991	61	2	order	order	NOUN
fcis-7991	61	3	to	to	PART
fcis-7991	61	4	deal	deal	VERB
fcis-7991	61	5	with	with	ADP
fcis-7991	61	6	this	this	DET
fcis-7991	61	7	problem	problem	NOUN
fcis-7991	61	8	,	,	PUNCT
fcis-7991	61	9	zhang	zhang	PROPN
fcis-7991	62	1	[	[	X
fcis-7991	62	2	11	11	NUM
fcis-7991	62	3	]	]	PUNCT
fcis-7991	62	4	et	et	PROPN
fcis-7991	62	5	al	al	PROPN
fcis-7991	62	6	.	.	PROPN
fcis-7991	62	7	developed	develop	VERB
fcis-7991	62	8	sybilsan	sybilsan	PROPN
fcis-7991	62	9	,	,	PUNCT
fcis-7991	62	10	a	a	DET
fcis-7991	62	11	two	two	NUM
fcis-7991	62	12	-	-	PUNCT
fcis-7991	62	13	layer	layer	NOUN
fcis-7991	62	14	model	model	NOUN
fcis-7991	62	15	,	,	PUNCT
fcis-7991	62	16	it	it	PRON
fcis-7991	62	17	is	be	AUX
fcis-7991	62	18	intended	intend	VERB
fcis-7991	62	19	to	to	PART
fcis-7991	62	20	make	make	VERB
fcis-7991	62	21	full	full	ADJ
fcis-7991	62	22	use	use	NOUN
fcis-7991	62	23	of	of	ADP
fcis-7991	62	24	the	the	DET
fcis-7991	62	25	interaction	interaction	NOUN
fcis-7991	62	26	information	information	NOUN
fcis-7991	62	27	and	and	CCONJ
fcis-7991	62	28	connections	connection	NOUN
fcis-7991	62	29	between	between	ADP
fcis-7991	62	30	normal	normal	ADJ
fcis-7991	62	31	users	user	NOUN
fcis-7991	62	32	and	and	CCONJ
fcis-7991	62	33	sybil	sybil	NOUN
fcis-7991	62	34	,	,	PUNCT
fcis-7991	62	35	and	and	CCONJ
fcis-7991	62	36	propose	propose	VERB
fcis-7991	62	37	a	a	DET
fcis-7991	62	38	more	more	ADV
fcis-7991	62	39	practical	practical	ADJ
fcis-7991	62	40	sybil	sybil	NOUN
fcis-7991	62	41	attack	attack	NOUN
fcis-7991	62	42	model	model	PROPN
fcis-7991	62	43	.	.	PUNCT
fcis-7991	63	1	based	base	VERB
fcis-7991	63	2	on	on	ADP
fcis-7991	63	3	the	the	DET
fcis-7991	63	4	attack	attack	NOUN
fcis-7991	63	5	model	model	NOUN
fcis-7991	63	6	,	,	PUNCT
fcis-7991	63	7	three	three	NUM
fcis-7991	63	8	random	random	ADJ
fcis-7991	63	9	walkbased	walkbased	ADJ
fcis-7991	63	10	algorithms	algorithm	NOUN
fcis-7991	63	11	are	be	AUX
fcis-7991	63	12	coupled	couple	VERB
fcis-7991	63	13	to	to	PART
fcis-7991	63	14	detect	detect	VERB
fcis-7991	63	15	sybil	sybil	NOUN
fcis-7991	63	16	,	,	PUNCT
fcis-7991	63	17	and	and	CCONJ
fcis-7991	63	18	sybilsan	sybilsan	PROPN
fcis-7991	63	19	also	also	ADV
fcis-7991	63	20	has	have	VERB
fcis-7991	63	21	stronger	strong	ADJ
fcis-7991	63	22	detection	detection	NOUN
fcis-7991	63	23	robustness	robustness	NOUN
fcis-7991	63	24	,	,	PUNCT
fcis-7991	63	25	but	but	CCONJ
fcis-7991	63	26	performance	performance	NOUN
fcis-7991	63	27	degrades	degrade	VERB
fcis-7991	63	28	when	when	SCONJ
fcis-7991	63	29	the	the	DET
fcis-7991	63	30	sybil	sybil	NOUN
fcis-7991	63	31	population	population	NOUN
fcis-7991	63	32	is	be	AUX
fcis-7991	63	33	not	not	PART
fcis-7991	63	34	concentrated	concentrate	VERB
fcis-7991	63	35	and	and	CCONJ
fcis-7991	63	36	dispersed	disperse	VERB
fcis-7991	63	37	.	.	PUNCT
fcis-7991	64	1	el	el	PROPN
fcis-7991	64	2	-	-	PUNCT
fcis-7991	64	3	mawass	mawass	PROPN
fcis-7991	65	1	[	[	X
fcis-7991	65	2	12	12	NUM
fcis-7991	65	3	]	]	PUNCT
fcis-7991	65	4	et	et	PROPN
fcis-7991	65	5	al	al	PROPN
fcis-7991	65	6	.	.	PROPN
fcis-7991	65	7	designed	design	VERB
fcis-7991	65	8	a	a	DET
fcis-7991	65	9	hybrid	hybrid	ADJ
fcis-7991	65	10	method	method	NOUN
fcis-7991	65	11	to	to	PART
fcis-7991	65	12	detect	detect	VERB
fcis-7991	65	13	social	social	ADJ
fcis-7991	65	14	bot	bot	NOUN
fcis-7991	65	15	,	,	PUNCT
fcis-7991	65	16	combining	combine	VERB
fcis-7991	65	17	graphs	graph	NOUN
fcis-7991	65	18	and	and	CCONJ
fcis-7991	65	19	traditional	traditional	ADJ
fcis-7991	65	20	supervised	supervised	ADJ
fcis-7991	65	21	learning	learn	VERB
fcis-7991	65	22	classification	classification	NOUN
fcis-7991	65	23	,	,	PUNCT
fcis-7991	65	24	where	where	SCONJ
fcis-7991	65	25	graphs	graph	NOUN
fcis-7991	65	26	are	be	AUX
fcis-7991	65	27	not	not	PART
fcis-7991	65	28	constructed	construct	VERB
fcis-7991	65	29	using	use	VERB
fcis-7991	65	30	user	user	NOUN
fcis-7991	65	31	interaction	interaction	NOUN
fcis-7991	65	32	connections	connection	NOUN
fcis-7991	65	33	on	on	ADP
fcis-7991	65	34	social	social	ADJ
fcis-7991	65	35	networks	network	NOUN
fcis-7991	65	36	,	,	PUNCT
fcis-7991	65	37	but	but	CCONJ
fcis-7991	65	38	the	the	DET
fcis-7991	65	39	application	application	NOUN
fcis-7991	65	40	of	of	ADP
fcis-7991	65	41	user	user	NOUN
fcis-7991	65	42	usage	usage	NOUN
fcis-7991	65	43	the	the	DET
fcis-7991	65	44	program	program	NOUN
fcis-7991	65	45	is	be	AUX
fcis-7991	65	46	similar	similar	ADJ
fcis-7991	65	47	to	to	ADP
fcis-7991	65	48	the	the	DET
fcis-7991	65	49	graph	graph	NOUN
fcis-7991	65	50	,	,	PUNCT
fcis-7991	65	51	and	and	CCONJ
fcis-7991	65	52	then	then	ADV
fcis-7991	65	53	the	the	DET
fcis-7991	65	54	markov	markov	NOUN
fcis-7991	65	55	random	random	ADJ
fcis-7991	65	56	field	field	NOUN
fcis-7991	65	57	model	model	NOUN
fcis-7991	65	58	is	be	AUX
fcis-7991	65	59	constructed	construct	VERB
fcis-7991	65	60	on	on	ADP
fcis-7991	65	61	this	this	DET
fcis-7991	65	62	basis	basis	NOUN
fcis-7991	65	63	.	.	PUNCT
fcis-7991	66	1	the	the	DET
fcis-7991	66	2	experiments	experiment	NOUN
fcis-7991	66	3	show	show	VERB
fcis-7991	66	4	that	that	SCONJ
fcis-7991	66	5	the	the	DET
fcis-7991	66	6	detection	detection	NOUN
fcis-7991	66	7	of	of	ADP
fcis-7991	66	8	the	the	DET
fcis-7991	66	9	supervised	supervised	ADJ
fcis-7991	66	10	learning	learning	NOUN
fcis-7991	66	11	combined	combine	VERB
fcis-7991	66	12	with	with	ADP
fcis-7991	66	13	the	the	DET
fcis-7991	66	14	markov	markov	NOUN
fcis-7991	66	15	random	random	ADJ
fcis-7991	66	16	field	field	NOUN
fcis-7991	66	17	model	model	NOUN
fcis-7991	66	18	in	in	ADP
fcis-7991	66	19	the	the	DET
fcis-7991	66	20	paper	paper	NOUN
fcis-7991	66	21	has	have	AUX
fcis-7991	66	22	improved	improve	VERB
fcis-7991	66	23	the	the	DET
fcis-7991	66	24	accuracy	accuracy	NOUN
fcis-7991	66	25	and	and	CCONJ
fcis-7991	66	26	recall	recall	NOUN
fcis-7991	66	27	rate	rate	NOUN
fcis-7991	66	28	of	of	ADP
fcis-7991	66	29	the	the	DET
fcis-7991	66	30	detection	detection	NOUN
fcis-7991	66	31	only	only	ADV
fcis-7991	66	32	by	by	ADP
fcis-7991	66	33	supervised	supervised	ADJ
fcis-7991	66	34	learning	learning	NOUN
fcis-7991	66	35	.	.	PUNCT
fcis-7991	67	1	3	3	X
fcis-7991	67	2	.	.	X
fcis-7991	67	3	experiment	experiment	NOUN
fcis-7991	67	4	3.1	3.1	NUM
fcis-7991	67	5	.	.	PUNCT
fcis-7991	68	1	work	work	NOUN
fcis-7991	68	2	process	process	NOUN
fcis-7991	68	3	figure	figure	NOUN
fcis-7991	68	4	1	1	NUM
fcis-7991	68	5	shows	show	VERB
fcis-7991	68	6	the	the	DET
fcis-7991	68	7	specific	specific	ADJ
fcis-7991	68	8	working	work	VERB
fcis-7991	68	9	steps	step	NOUN
fcis-7991	68	10	of	of	ADP
fcis-7991	68	11	the	the	DET
fcis-7991	68	12	system	system	NOUN
fcis-7991	68	13	.	.	PUNCT
fcis-7991	69	1	1	1	X
fcis-7991	69	2	.	.	X
fcis-7991	69	3	the	the	DET
fcis-7991	69	4	input	input	NOUN
fcis-7991	69	5	is	be	AUX
fcis-7991	69	6	the	the	DET
fcis-7991	69	7	original	original	ADJ
fcis-7991	69	8	text	text	NOUN
fcis-7991	69	9	.	.	PUNCT
fcis-7991	70	1	it	it	PRON
fcis-7991	70	2	is	be	AUX
fcis-7991	70	3	a	a	DET
fcis-7991	70	4	user	user	NOUN
fcis-7991	70	5	-	-	PUNCT
fcis-7991	70	6	published	publish	VERB
fcis-7991	70	7	content	content	NOUN
fcis-7991	70	8	field	field	NOUN
fcis-7991	70	9	in	in	ADP
fcis-7991	70	10	the	the	DET
fcis-7991	70	11	data	datum	NOUN
fcis-7991	70	12	set	set	VERB
fcis-7991	70	13	crawled	crawl	VERB
fcis-7991	70	14	by	by	ADP
fcis-7991	70	15	the	the	DET
fcis-7991	70	16	crawler	crawler	NOUN
fcis-7991	70	17	,	,	PUNCT
fcis-7991	70	18	which	which	PRON
fcis-7991	70	19	can	can	AUX
fcis-7991	70	20	be	be	AUX
fcis-7991	70	21	mainly	mainly	ADV
fcis-7991	70	22	divided	divide	VERB
fcis-7991	70	23	into	into	ADP
fcis-7991	70	24	two	two	NUM
fcis-7991	70	25	types	type	NOUN
fcis-7991	70	26	,	,	PUNCT
fcis-7991	70	27	one	one	NUM
fcis-7991	70	28	is	be	AUX
fcis-7991	70	29	to	to	PART
fcis-7991	70	30	reply	reply	VERB
fcis-7991	70	31	to	to	ADP
fcis-7991	70	32	other	other	ADJ
fcis-7991	70	33	people	people	NOUN
fcis-7991	70	34	's	's	PART
fcis-7991	70	35	tweets	tweet	NOUN
fcis-7991	70	36	,	,	PUNCT
fcis-7991	70	37	and	and	CCONJ
fcis-7991	70	38	the	the	DET
fcis-7991	70	39	other	other	ADJ
fcis-7991	70	40	is	be	AUX
fcis-7991	70	41	to	to	PART
fcis-7991	70	42	nonreply	nonreply	VERB
fcis-7991	70	43	to	to	ADP
fcis-7991	70	44	the	the	DET
fcis-7991	70	45	tweets	tweet	NOUN
fcis-7991	70	46	.	.	PUNCT
fcis-7991	71	1	2	2	X
fcis-7991	71	2	.	.	X
fcis-7991	71	3	the	the	DET
fcis-7991	71	4	second	second	ADJ
fcis-7991	71	5	step	step	NOUN
fcis-7991	71	6	is	be	AUX
fcis-7991	71	7	preprocessing	preprocesse	VERB
fcis-7991	71	8	,	,	PUNCT
fcis-7991	71	9	the	the	DET
fcis-7991	71	10	first	first	ADJ
fcis-7991	71	11	of	of	ADP
fcis-7991	71	12	which	which	PRON
fcis-7991	71	13	is	be	AUX
fcis-7991	71	14	data	datum	NOUN
fcis-7991	71	15	cleaning	clean	VERB
fcis-7991	71	16	.	.	PUNCT
fcis-7991	72	1	the	the	DET
fcis-7991	72	2	purpose	purpose	NOUN
fcis-7991	72	3	is	be	AUX
fcis-7991	72	4	to	to	PART
fcis-7991	72	5	obtain	obtain	VERB
fcis-7991	72	6	as	as	ADV
fcis-7991	72	7	much	much	ADJ
fcis-7991	72	8	as	as	ADP
fcis-7991	72	9	possible	possible	ADJ
fcis-7991	72	10	the	the	DET
fcis-7991	72	11	complete	complete	ADJ
fcis-7991	72	12	content	content	NOUN
fcis-7991	72	13	posted	post	VERB
fcis-7991	72	14	by	by	ADP
fcis-7991	72	15	the	the	DET
fcis-7991	72	16	user	user	NOUN
fcis-7991	72	17	from	from	ADP
fcis-7991	72	18	the	the	DET
fcis-7991	72	19	original	original	ADJ
fcis-7991	72	20	text	text	NOUN
fcis-7991	72	21	to	to	PART
fcis-7991	72	22	prepare	prepare	VERB
fcis-7991	72	23	for	for	ADP
fcis-7991	72	24	subsequent	subsequent	ADJ
fcis-7991	72	25	operations	operation	NOUN
fcis-7991	72	26	.	.	PUNCT
fcis-7991	73	1	the	the	DET
fcis-7991	73	2	main	main	ADJ
fcis-7991	73	3	cleaning	cleaning	NOUN
fcis-7991	73	4	contents	content	NOUN
fcis-7991	73	5	are	be	AUX
fcis-7991	73	6	:	:	PUNCT
fcis-7991	73	7	(	(	PUNCT
fcis-7991	73	8	1	1	X
fcis-7991	73	9	)	)	PUNCT
fcis-7991	73	10	remove	remove	VERB
fcis-7991	73	11	@user	@user	PROPN
fcis-7991	73	12	,	,	PUNCT
fcis-7991	73	13	@	@	ADP
fcis-7991	73	14	is	be	AUX
fcis-7991	73	15	a	a	DET
fcis-7991	73	16	function	function	NOUN
fcis-7991	73	17	provided	provide	VERB
fcis-7991	73	18	by	by	ADP
fcis-7991	73	19	twitter	twitter	NOUN
fcis-7991	73	20	for	for	ADP
fcis-7991	73	21	users	user	NOUN
fcis-7991	73	22	.	.	PUNCT
fcis-7991	74	1	for	for	ADP
fcis-7991	74	2	example	example	NOUN
fcis-7991	74	3	,	,	PUNCT
fcis-7991	74	4	if	if	SCONJ
fcis-7991	74	5	user	user	NOUN
fcis-7991	74	6	a	a	DET
fcis-7991	74	7	@user	@user	PROPN
fcis-7991	74	8	b	b	PROPN
fcis-7991	74	9	in	in	ADP
fcis-7991	74	10	a	a	DET
fcis-7991	74	11	tweet	tweet	NOUN
fcis-7991	74	12	,	,	PUNCT
fcis-7991	74	13	user	user	NOUN
fcis-7991	74	14	b	b	PROPN
fcis-7991	74	15	can	can	AUX
fcis-7991	74	16	see	see	VERB
fcis-7991	74	17	reminders	reminder	NOUN
fcis-7991	74	18	and	and	CCONJ
fcis-7991	74	19	tweet	tweet	NOUN
fcis-7991	74	20	jumps	jump	VERB
fcis-7991	74	21	in	in	ADP
fcis-7991	74	22	"	"	PUNCT
fcis-7991	74	23	message	message	NOUN
fcis-7991	74	24	"	"	PUNCT
fcis-7991	74	25	,	,	PUNCT
fcis-7991	74	26	which	which	PRON
fcis-7991	74	27	contributes	contribute	VERB
fcis-7991	74	28	to	to	ADP
fcis-7991	74	29	the	the	DET
fcis-7991	74	30	entire	entire	ADJ
fcis-7991	74	31	sentence	sentence	NOUN
fcis-7991	74	32	the	the	DET
fcis-7991	74	33	value	value	NOUN
fcis-7991	74	34	is	be	AUX
fcis-7991	74	35	small	small	ADJ
fcis-7991	74	36	and	and	CCONJ
fcis-7991	74	37	needs	need	VERB
fcis-7991	74	38	to	to	PART
fcis-7991	74	39	be	be	AUX
fcis-7991	74	40	filtered	filter	VERB
fcis-7991	74	41	.	.	PUNCT
fcis-7991	75	1	(	(	PUNCT
fcis-7991	75	2	2	2	X
fcis-7991	75	3	)	)	PUNCT
fcis-7991	75	4	remove	remove	VERB
fcis-7991	75	5	the	the	DET
fcis-7991	75	6	url	url	NOUN
fcis-7991	75	7	,	,	PUNCT
fcis-7991	75	8	the	the	DET
fcis-7991	75	9	original	original	ADJ
fcis-7991	75	10	text	text	NOUN
fcis-7991	75	11	will	will	AUX
fcis-7991	75	12	have	have	VERB
fcis-7991	75	13	a	a	DET
fcis-7991	75	14	url	url	NOUN
fcis-7991	75	15	at	at	ADP
fcis-7991	75	16	the	the	DET
fcis-7991	75	17	end	end	NOUN
fcis-7991	75	18	.	.	PUNCT
fcis-7991	76	1	(	(	PUNCT
fcis-7991	76	2	3	3	X
fcis-7991	76	3	)	)	PUNCT
fcis-7991	76	4	remove	remove	VERB
fcis-7991	76	5	non	non	ADJ
fcis-7991	76	6	-	-	ADJ
fcis-7991	76	7	english	english	ADJ
fcis-7991	76	8	language	language	NOUN
fcis-7991	76	9	tweets	tweet	NOUN
fcis-7991	76	10	,	,	PUNCT
fcis-7991	76	11	because	because	SCONJ
fcis-7991	76	12	quantum	quantum	ADJ
fcis-7991	76	13	similarity	similarity	NOUN
fcis-7991	76	14	is	be	AUX
fcis-7991	76	15	only	only	ADV
fcis-7991	76	16	for	for	ADP
fcis-7991	76	17	english	english	PROPN
fcis-7991	76	18	,	,	PUNCT
fcis-7991	76	19	so	so	ADV
fcis-7991	76	20	remove	remove	VERB
fcis-7991	76	21	non	non	ADJ
fcis-7991	76	22	-	-	ADJ
fcis-7991	76	23	english	english	ADJ
fcis-7991	76	24	sentences	sentence	NOUN
fcis-7991	76	25	.	.	PUNCT
fcis-7991	77	1	(	(	PUNCT
fcis-7991	77	2	4	4	X
fcis-7991	77	3	)	)	PUNCT
fcis-7991	77	4	remove	remove	VERB
fcis-7991	77	5	irrelevant	irrelevant	ADJ
fcis-7991	77	6	characters	character	NOUN
fcis-7991	77	7	,	,	PUNCT
fcis-7991	77	8	such	such	ADJ
fcis-7991	77	9	as	as	ADP
fcis-7991	77	10	"	"	PUNCT
fcis-7991	77	11	*	*	NOUN
fcis-7991	77	12	"	"	PUNCT
fcis-7991	77	13	,	,	PUNCT
fcis-7991	77	14	"	"	PUNCT
fcis-7991	77	15	[	[	X
fcis-7991	77	16	"	"	PUNCT
fcis-7991	77	17	,	,	PUNCT
fcis-7991	77	18	"	"	PUNCT
fcis-7991	77	19	&	&	CCONJ
fcis-7991	77	20	"	"	PUNCT
fcis-7991	77	21	and	and	CCONJ
fcis-7991	77	22	other	other	ADJ
fcis-7991	77	23	strange	strange	ADJ
fcis-7991	77	24	characters	character	NOUN
fcis-7991	77	25	.	.	PUNCT
fcis-7991	78	1	(	(	PUNCT
fcis-7991	78	2	5	5	NUM
fcis-7991	78	3	)	)	PUNCT
fcis-7991	78	4	according	accord	VERB
fcis-7991	78	5	to	to	ADP
fcis-7991	78	6	the	the	DET
fcis-7991	78	7	manual	manual	ADJ
fcis-7991	78	8	observation	observation	NOUN
fcis-7991	78	9	of	of	ADP
fcis-7991	78	10	this	this	DET
fcis-7991	78	11	topic	topic	NOUN
fcis-7991	78	12	tweet	tweet	NOUN
fcis-7991	78	13	,	,	PUNCT
fcis-7991	78	14	users	user	NOUN
fcis-7991	78	15	often	often	ADV
fcis-7991	78	16	regard	regard	VERB
fcis-7991	78	17	#	#	NOUN
fcis-7991	78	18	keywords	keyword	NOUN
fcis-7991	78	19	,	,	PUNCT
fcis-7991	78	20	such	such	ADJ
fcis-7991	78	21	as	as	ADP
fcis-7991	78	22	#	#	NOUN
fcis-7991	78	23	huawei	huawei	NOUN
fcis-7991	78	24	,	,	PUNCT
fcis-7991	78	25	#	#	SYM
fcis-7991	78	26	5	5	NUM
fcis-7991	78	27	g	g	NOUN
fcis-7991	78	28	,	,	PUNCT
fcis-7991	79	1	#	#	NOUN
fcis-7991	79	2	huawei	huawei	NOUN
fcis-7991	79	3	,	,	PUNCT
fcis-7991	79	4	etc	etc	X
fcis-7991	79	5	.	.	X
fcis-7991	80	1	as	as	ADP
fcis-7991	80	2	part	part	NOUN
fcis-7991	80	3	of	of	ADP
fcis-7991	80	4	the	the	DET
fcis-7991	80	5	sentence	sentence	NOUN
fcis-7991	80	6	,	,	PUNCT
fcis-7991	80	7	so	so	CCONJ
fcis-7991	80	8	there	there	PRON
fcis-7991	80	9	is	be	VERB
fcis-7991	80	10	no	no	DET
fcis-7991	80	11	need	need	NOUN
fcis-7991	80	12	to	to	PART
fcis-7991	80	13	remove	remove	VERB
fcis-7991	80	14	the	the	DET
fcis-7991	80	15	#	#	NOUN
fcis-7991	80	16	tag	tag	NOUN
fcis-7991	80	17	,	,	PUNCT
fcis-7991	80	18	just	just	ADV
fcis-7991	80	19	remove	remove	VERB
fcis-7991	80	20	the	the	DET
fcis-7991	80	21	"	"	PUNCT
fcis-7991	80	22	#	#	ADJ
fcis-7991	80	23	"	"	PUNCT
fcis-7991	80	24	character	character	NOUN
fcis-7991	80	25	.	.	PUNCT
fcis-7991	81	1	can	can	AUX
fcis-7991	81	2	.	.	PUNCT
fcis-7991	82	1	(	(	PUNCT
fcis-7991	82	2	6	6	X
fcis-7991	82	3	)	)	PUNCT
fcis-7991	82	4	remove	remove	VERB
fcis-7991	82	5	stop	stop	NOUN
fcis-7991	82	6	words	word	NOUN
fcis-7991	82	7	,	,	PUNCT
fcis-7991	82	8	and	and	CCONJ
fcis-7991	82	9	filter	filter	NOUN
fcis-7991	82	10	stop	stop	VERB
fcis-7991	82	11	words	word	NOUN
fcis-7991	82	12	with	with	ADP
fcis-7991	82	13	the	the	DET
fcis-7991	82	14	help	help	NOUN
fcis-7991	82	15	of	of	ADP
fcis-7991	82	16	the	the	DET
fcis-7991	82	17	functions	function	NOUN
fcis-7991	82	18	provided	provide	VERB
fcis-7991	82	19	by	by	ADP
fcis-7991	82	20	the	the	DET
fcis-7991	82	21	word	word	NOUN
fcis-7991	82	22	segmentation	segmentation	NOUN
fcis-7991	82	23	library	library	NOUN
fcis-7991	82	24	.	.	PUNCT
fcis-7991	83	1	usually	usually	ADV
fcis-7991	83	2	,	,	PUNCT
fcis-7991	83	3	stop	stop	VERB
fcis-7991	83	4	words	word	NOUN
fcis-7991	83	5	have	have	VERB
fcis-7991	83	6	less	less	ADJ
fcis-7991	83	7	value	value	NOUN
fcis-7991	83	8	to	to	ADP
fcis-7991	83	9	sentences	sentence	NOUN
fcis-7991	83	10	,	,	PUNCT
fcis-7991	83	11	and	and	CCONJ
fcis-7991	83	12	filtering	filtering	NOUN
fcis-7991	83	13	can	can	AUX
fcis-7991	83	14	improve	improve	VERB
fcis-7991	83	15	the	the	DET
fcis-7991	83	16	efficiency	efficiency	NOUN
fcis-7991	83	17	of	of	ADP
fcis-7991	83	18	the	the	DET
fcis-7991	83	19	program	program	NOUN
fcis-7991	83	20	.	.	PUNCT
fcis-7991	84	1	3	3	X
fcis-7991	84	2	.	.	X
fcis-7991	84	3	sentiment	sentiment	NOUN
fcis-7991	84	4	analysis	analysis	NOUN
fcis-7991	84	5	.	.	PUNCT
fcis-7991	85	1	take	take	VERB
fcis-7991	85	2	the	the	DET
fcis-7991	85	3	sentence	sentence	NOUN
fcis-7991	85	4	output	output	NOUN
fcis-7991	85	5	in	in	ADP
fcis-7991	85	6	2	2	NUM
fcis-7991	85	7	as	as	ADP
fcis-7991	85	8	input	input	NOUN
fcis-7991	85	9	,	,	PUNCT
fcis-7991	85	10	call	call	VERB
fcis-7991	85	11	the	the	DET
fcis-7991	85	12	vader	vader	NOUN
fcis-7991	86	1	[	[	X
fcis-7991	86	2	13	13	NUM
fcis-7991	86	3	]	]	PUNCT
fcis-7991	86	4	library	library	NOUN
fcis-7991	86	5	for	for	ADP
fcis-7991	86	6	sentiment	sentiment	NOUN
fcis-7991	86	7	analysis	analysis	NOUN
fcis-7991	86	8	,	,	PUNCT
fcis-7991	86	9	and	and	CCONJ
fcis-7991	86	10	output	output	VERB
fcis-7991	86	11	the	the	DET
fcis-7991	86	12	sentiment	sentiment	NOUN
fcis-7991	86	13	of	of	ADP
fcis-7991	86	14	each	each	DET
fcis-7991	86	15	sentence	sentence	NOUN
fcis-7991	86	16	,	,	PUNCT
fcis-7991	86	17	including	include	VERB
fcis-7991	86	18	positive	positive	ADJ
fcis-7991	86	19	,	,	PUNCT
fcis-7991	86	20	negative	negative	ADJ
fcis-7991	86	21	and	and	CCONJ
fcis-7991	86	22	neutral	neutral	ADJ
fcis-7991	86	23	sentiments	sentiment	NOUN
fcis-7991	86	24	.	.	PUNCT
fcis-7991	87	1	4	4	X
fcis-7991	87	2	.	.	X
fcis-7991	87	3	participle	participle	NOUN
fcis-7991	87	4	clauses	clause	NOUN
fcis-7991	87	5	.	.	PUNCT
fcis-7991	88	1	the	the	DET
fcis-7991	88	2	sentence	sentence	NOUN
fcis-7991	88	3	output	output	NOUN
fcis-7991	88	4	in	in	ADP
fcis-7991	88	5	2	2	NUM
fcis-7991	88	6	is	be	AUX
fcis-7991	88	7	used	use	VERB
fcis-7991	88	8	as	as	ADP
fcis-7991	88	9	input	input	NOUN
fcis-7991	88	10	,	,	PUNCT
fcis-7991	88	11	and	and	CCONJ
fcis-7991	88	12	the	the	DET
fcis-7991	88	13	public	public	ADJ
fcis-7991	88	14	nltk	nltk	NOUN
fcis-7991	88	15	[	[	X
fcis-7991	88	16	14	14	NUM
fcis-7991	88	17	]	]	X
fcis-7991	88	18	library	library	NOUN
fcis-7991	88	19	is	be	AUX
fcis-7991	88	20	used	use	VERB
fcis-7991	88	21	to	to	PART
fcis-7991	88	22	segment	segment	VERB
fcis-7991	88	23	the	the	DET
fcis-7991	88	24	sentence	sentence	NOUN
fcis-7991	88	25	according	accord	VERB
fcis-7991	88	26	to	to	ADP
fcis-7991	88	27	the	the	DET
fcis-7991	88	28	part	part	NOUN
fcis-7991	88	29	of	of	ADP
fcis-7991	88	30	speech	speech	NOUN
fcis-7991	88	31	set	set	VERB
fcis-7991	88	32	in	in	ADP
fcis-7991	88	33	the	the	DET
fcis-7991	88	34	library	library	NOUN
fcis-7991	88	35	.	.	PUNCT
fcis-7991	89	1	5	5	X
fcis-7991	89	2	.	.	X
fcis-7991	89	3	quantum	quantum	ADJ
fcis-7991	89	4	similarity	similarity	NOUN
fcis-7991	89	5	clustering	cluster	VERB
fcis-7991	89	6	.	.	PUNCT
fcis-7991	90	1	the	the	DET
fcis-7991	90	2	purpose	purpose	NOUN
fcis-7991	90	3	of	of	ADP
fcis-7991	90	4	similarity	similarity	NOUN
fcis-7991	90	5	clustering	clustering	NOUN
fcis-7991	90	6	is	be	AUX
fcis-7991	90	7	to	to	PART
fcis-7991	90	8	screen	screen	VERB
fcis-7991	90	9	social	social	ADJ
fcis-7991	90	10	bot	bot	NOUN
fcis-7991	90	11	into	into	ADP
fcis-7991	90	12	the	the	DET
fcis-7991	90	13	identification	identification	NOUN
fcis-7991	90	14	link	link	NOUN
fcis-7991	90	15	as	as	ADV
fcis-7991	90	16	much	much	ADV
fcis-7991	90	17	as	as	ADP
fcis-7991	90	18	possible	possible	ADJ
fcis-7991	90	19	,	,	PUNCT
fcis-7991	90	20	and	and	CCONJ
fcis-7991	90	21	eliminate	eliminate	VERB
fcis-7991	90	22	normal	normal	ADJ
fcis-7991	90	23	users	user	NOUN
fcis-7991	90	24	,	,	PUNCT
fcis-7991	90	25	which	which	PRON
fcis-7991	90	26	can	can	AUX
fcis-7991	90	27	greatly	greatly	ADV
fcis-7991	90	28	enhance	enhance	VERB
fcis-7991	90	29	the	the	DET
fcis-7991	90	30	running	run	VERB
fcis-7991	90	31	speed	speed	NOUN
fcis-7991	90	32	of	of	ADP
fcis-7991	90	33	the	the	DET
fcis-7991	90	34	system	system	NOUN
fcis-7991	90	35	and	and	CCONJ
fcis-7991	90	36	improve	improve	VERB
fcis-7991	90	37	the	the	DET
fcis-7991	90	38	recognition	recognition	NOUN
fcis-7991	90	39	accuracy	accuracy	NOUN
fcis-7991	90	40	.	.	PUNCT
fcis-7991	91	1	the	the	DET
fcis-7991	91	2	outputs	output	NOUN
fcis-7991	91	3	of	of	ADP
fcis-7991	91	4	3	3	NUM
fcis-7991	91	5	and	and	CCONJ
fcis-7991	91	6	4	4	NUM
fcis-7991	91	7	are	be	AUX
fcis-7991	91	8	used	use	VERB
fcis-7991	91	9	as	as	ADP
fcis-7991	91	10	input	input	NOUN
fcis-7991	91	11	,	,	PUNCT
fcis-7991	91	12	and	and	CCONJ
fcis-7991	91	13	then	then	ADV
fcis-7991	91	14	clustering	clustering	NOUN
fcis-7991	91	15	is	be	AUX
fcis-7991	91	16	performed	perform	VERB
fcis-7991	91	17	to	to	PART
fcis-7991	91	18	obtain	obtain	VERB
fcis-7991	91	19	several	several	ADJ
fcis-7991	91	20	group	group	NOUN
fcis-7991	91	21	categories	category	NOUN
fcis-7991	91	22	,	,	PUNCT
fcis-7991	91	23	calculate	calculate	VERB
fcis-7991	91	24	the	the	DET
fcis-7991	91	25	texts	text	NOUN
fcis-7991	91	26	one	one	NUM
fcis-7991	91	27	by	by	ADP
fcis-7991	91	28	one	one	NUM
fcis-7991	91	29	for	for	ADP
fcis-7991	91	30	similar	similar	ADJ
fcis-7991	91	31	grouping	grouping	NOUN
fcis-7991	91	32	.	.	PUNCT
fcis-7991	92	1	there	there	PRON
fcis-7991	92	2	are	be	VERB
fcis-7991	92	3	the	the	DET
fcis-7991	92	4	following	follow	VERB
fcis-7991	92	5	two	two	NUM
fcis-7991	92	6	clustering	clustering	ADJ
fcis-7991	92	7	results	result	NOUN
fcis-7991	92	8	.	.	PUNCT
fcis-7991	93	1	(	(	PUNCT
fcis-7991	93	2	1	1	X
fcis-7991	93	3	)	)	PUNCT
fcis-7991	93	4	the	the	DET
fcis-7991	93	5	number	number	NOUN
fcis-7991	93	6	of	of	ADP
fcis-7991	93	7	sentences	sentence	NOUN
fcis-7991	93	8	in	in	ADP
fcis-7991	93	9	the	the	DET
fcis-7991	93	10	group	group	NOUN
fcis-7991	93	11	is	be	AUX
fcis-7991	93	12	less	less	ADJ
fcis-7991	93	13	than	than	ADP
fcis-7991	93	14	one	one	NUM
fcis-7991	93	15	-	-	PUNCT
fcis-7991	93	16	tenth	tenth	NOUN
fcis-7991	93	17	of	of	ADP
fcis-7991	93	18	the	the	DET
fcis-7991	93	19	number	number	NOUN
fcis-7991	93	20	of	of	ADP
fcis-7991	93	21	users	user	NOUN
fcis-7991	93	22	.	.	PUNCT
fcis-7991	94	1	this	this	DET
fcis-7991	94	2	value	value	NOUN
fcis-7991	94	3	is	be	AUX
fcis-7991	94	4	not	not	PART
fcis-7991	94	5	large	large	ADJ
fcis-7991	94	6	,	,	PUNCT
fcis-7991	94	7	and	and	CCONJ
fcis-7991	94	8	it	it	PRON
fcis-7991	94	9	only	only	ADV
fcis-7991	94	10	represents	represent	VERB
fcis-7991	94	11	the	the	DET
fcis-7991	94	12	opinions	opinion	NOUN
fcis-7991	94	13	of	of	ADP
fcis-7991	94	14	a	a	DET
fcis-7991	94	15	small	small	ADJ
fcis-7991	94	16	number	number	NOUN
fcis-7991	94	17	of	of	ADP
fcis-7991	94	18	people	people	NOUN
fcis-7991	94	19	,	,	PUNCT
fcis-7991	94	20	so	so	SCONJ
fcis-7991	94	21	it	it	PRON
fcis-7991	94	22	is	be	AUX
fcis-7991	94	23	eliminated	eliminate	VERB
fcis-7991	94	24	.	.	PUNCT
fcis-7991	95	1	(	(	PUNCT
fcis-7991	95	2	2	2	X
fcis-7991	95	3	)	)	PUNCT
fcis-7991	95	4	the	the	DET
fcis-7991	95	5	number	number	NOUN
fcis-7991	95	6	of	of	ADP
fcis-7991	95	7	sentences	sentence	NOUN
fcis-7991	95	8	in	in	ADP
fcis-7991	95	9	the	the	DET
fcis-7991	95	10	group	group	NOUN
fcis-7991	95	11	is	be	AUX
fcis-7991	95	12	one	one	NUM
fcis-7991	95	13	tenth	tenth	ADV
fcis-7991	95	14	higher	high	ADJ
fcis-7991	95	15	than	than	ADP
fcis-7991	95	16	the	the	DET
fcis-7991	95	17	number	number	NOUN
fcis-7991	95	18	of	of	ADP
fcis-7991	95	19	users	user	NOUN
fcis-7991	95	20	,	,	PUNCT
fcis-7991	95	21	reserved	reserve	VERB
fcis-7991	95	22	.	.	PUNCT
fcis-7991	96	1	6	6	X
fcis-7991	96	2	.	.	X
fcis-7991	96	3	feature	feature	NOUN
fcis-7991	96	4	extraction	extraction	NOUN
fcis-7991	96	5	.	.	PUNCT
fcis-7991	97	1	find	find	VERB
fcis-7991	97	2	the	the	DET
fcis-7991	97	3	user	user	NOUN
fcis-7991	97	4	corresponding	correspond	VERB
fcis-7991	97	5	to	to	ADP
fcis-7991	97	6	the	the	DET
fcis-7991	97	7	sentence	sentence	NOUN
fcis-7991	97	8	from	from	ADP
fcis-7991	97	9	the	the	DET
fcis-7991	97	10	output	output	NOUN
fcis-7991	97	11	in	in	ADP
fcis-7991	97	12	5	5	NUM
fcis-7991	97	13	,	,	PUNCT
fcis-7991	97	14	and	and	CCONJ
fcis-7991	97	15	extract	extract	VERB
fcis-7991	97	16	the	the	DET
fcis-7991	97	17	selected	select	VERB
fcis-7991	97	18	features	feature	NOUN
fcis-7991	97	19	as	as	ADP
fcis-7991	97	20	the	the	DET
fcis-7991	97	21	output	output	NOUN
fcis-7991	97	22	.	.	PUNCT
fcis-7991	98	1	40	40	NUM
fcis-7991	98	2	7	7	NUM
fcis-7991	98	3	.	.	PUNCT
fcis-7991	98	4	machine	machine	NOUN
fcis-7991	98	5	learning	learn	VERB
fcis-7991	98	6	identification	identification	NOUN
fcis-7991	98	7	,	,	PUNCT
fcis-7991	98	8	take	take	VERB
fcis-7991	98	9	the	the	DET
fcis-7991	98	10	output	output	NOUN
fcis-7991	98	11	in	in	ADP
fcis-7991	98	12	6	6	NUM
fcis-7991	98	13	as	as	ADP
fcis-7991	98	14	input	input	NOUN
fcis-7991	98	15	,	,	PUNCT
fcis-7991	98	16	and	and	CCONJ
fcis-7991	98	17	use	use	VERB
fcis-7991	98	18	the	the	DET
fcis-7991	98	19	logistic	logistic	ADJ
fcis-7991	98	20	regression	regression	NOUN
fcis-7991	98	21	algorithm	algorithm	NOUN
fcis-7991	98	22	in	in	ADP
fcis-7991	98	23	the	the	DET
fcis-7991	98	24	sklearn	sklearn	ADJ
fcis-7991	98	25	library	library	NOUN
fcis-7991	98	26	to	to	PART
fcis-7991	98	27	identify	identify	VERB
fcis-7991	98	28	social	social	ADJ
fcis-7991	98	29	bot	bot	NOUN
fcis-7991	98	30	.	.	PUNCT
fcis-7991	99	1	figure	figure	VERB
fcis-7991	99	2	1	1	NUM
fcis-7991	99	3	.	.	PUNCT
fcis-7991	99	4	detection	detection	NOUN
fcis-7991	99	5	process	process	NOUN
fcis-7991	99	6	3.2	3.2	NUM
fcis-7991	99	7	.	.	PUNCT
fcis-7991	100	1	quantum	quantum	ADJ
fcis-7991	100	2	similarity	similarity	NOUN
fcis-7991	101	1	[	[	X
fcis-7991	101	2	3	3	X
fcis-7991	101	3	]	]	PUNCT
fcis-7991	101	4	in	in	ADP
fcis-7991	101	5	recent	recent	ADJ
fcis-7991	101	6	years	year	NOUN
fcis-7991	101	7	,	,	PUNCT
fcis-7991	101	8	quantum	quantum	NOUN
fcis-7991	101	9	disciplines	discipline	NOUN
fcis-7991	101	10	have	have	AUX
fcis-7991	101	11	gradually	gradually	ADV
fcis-7991	101	12	developed	develop	VERB
fcis-7991	101	13	.	.	PUNCT
fcis-7991	102	1	among	among	ADP
fcis-7991	102	2	them	they	PRON
fcis-7991	102	3	,	,	PUNCT
fcis-7991	102	4	quantum	quantum	NOUN
fcis-7991	102	5	theory	theory	NOUN
fcis-7991	102	6	has	have	VERB
fcis-7991	102	7	a	a	DET
fcis-7991	102	8	good	good	ADJ
fcis-7991	102	9	mathematical	mathematical	ADJ
fcis-7991	102	10	modeling	modeling	NOUN
fcis-7991	102	11	framework	framework	NOUN
fcis-7991	102	12	,	,	PUNCT
fcis-7991	102	13	which	which	PRON
fcis-7991	102	14	is	be	AUX
fcis-7991	102	15	combined	combine	VERB
fcis-7991	102	16	in	in	ADP
fcis-7991	102	17	the	the	DET
fcis-7991	102	18	fields	field	NOUN
fcis-7991	102	19	of	of	ADP
fcis-7991	102	20	economic	economic	ADJ
fcis-7991	102	21	theory	theory	NOUN
fcis-7991	102	22	,	,	PUNCT
fcis-7991	102	23	psychology	psychology	NOUN
fcis-7991	102	24	and	and	CCONJ
fcis-7991	102	25	information	information	NOUN
fcis-7991	102	26	science	science	NOUN
fcis-7991	102	27	,	,	PUNCT
fcis-7991	102	28	and	and	CCONJ
fcis-7991	102	29	there	there	PRON
fcis-7991	102	30	are	be	VERB
fcis-7991	102	31	some	some	DET
fcis-7991	102	32	attempts	attempt	NOUN
fcis-7991	102	33	in	in	ADP
fcis-7991	102	34	natural	natural	ADJ
fcis-7991	102	35	language	language	NOUN
fcis-7991	102	36	in	in	ADP
fcis-7991	102	37	artificial	artificial	ADJ
fcis-7991	102	38	intelligence	intelligence	NOUN
fcis-7991	102	39	.	.	PUNCT
fcis-7991	103	1	the	the	DET
fcis-7991	103	2	quantum	quantum	ADJ
fcis-7991	103	3	similarity	similarity	NOUN
fcis-7991	103	4	algorithm	algorithm	NOUN
fcis-7991	103	5	is	be	AUX
fcis-7991	103	6	also	also	ADV
fcis-7991	103	7	known	know	VERB
fcis-7991	103	8	as	as	ADP
fcis-7991	103	9	the	the	DET
fcis-7991	103	10	sentence	sentence	NOUN
fcis-7991	103	11	similarity	similarity	NOUN
fcis-7991	103	12	calculation	calculation	NOUN
fcis-7991	103	13	method	method	NOUN
fcis-7991	103	14	based	base	VERB
fcis-7991	103	15	on	on	ADP
fcis-7991	103	16	quantum	quantum	ADJ
fcis-7991	103	17	theory	theory	NOUN
fcis-7991	103	18	.	.	PUNCT
fcis-7991	104	1	it	it	PRON
fcis-7991	104	2	uses	use	VERB
fcis-7991	104	3	the	the	DET
fcis-7991	104	4	properties	property	NOUN
fcis-7991	104	5	of	of	ADP
fcis-7991	104	6	quantum	quantum	NOUN
fcis-7991	104	7	theory	theory	NOUN
fcis-7991	104	8	in	in	ADP
fcis-7991	104	9	terms	term	NOUN
fcis-7991	104	10	of	of	ADP
fcis-7991	104	11	superposition	superposition	NOUN
fcis-7991	104	12	,	,	PUNCT
fcis-7991	104	13	interference	interference	NOUN
fcis-7991	104	14	,	,	PUNCT
fcis-7991	104	15	entanglement	entanglement	NOUN
fcis-7991	104	16	and	and	CCONJ
fcis-7991	104	17	incompatibility	incompatibility	NOUN
fcis-7991	104	18	to	to	PART
fcis-7991	104	19	establish	establish	VERB
fcis-7991	104	20	a	a	DET
fcis-7991	104	21	sentence	sentence	NOUN
fcis-7991	104	22	quantum	quantum	NOUN
fcis-7991	104	23	state	state	NOUN
fcis-7991	104	24	modeling	modeling	NOUN
fcis-7991	104	25	model	model	NOUN
fcis-7991	104	26	,	,	PUNCT
fcis-7991	104	27	and	and	CCONJ
fcis-7991	104	28	then	then	ADV
fcis-7991	104	29	introduces	introduce	VERB
fcis-7991	104	30	the	the	DET
fcis-7991	104	31	concept	concept	NOUN
fcis-7991	104	32	of	of	ADP
fcis-7991	104	33	fidelity	fidelity	NOUN
fcis-7991	104	34	.	.	PUNCT
fcis-7991	105	1	to	to	PART
fcis-7991	105	2	judge	judge	VERB
fcis-7991	105	3	whether	whether	SCONJ
fcis-7991	105	4	two	two	NUM
fcis-7991	105	5	quantum	quantum	ADJ
fcis-7991	105	6	states	state	NOUN
fcis-7991	105	7	are	be	AUX
fcis-7991	105	8	close	close	ADJ
fcis-7991	105	9	,	,	PUNCT
fcis-7991	105	10	that	that	ADV
fcis-7991	105	11	is	is	ADV
fcis-7991	105	12	,	,	PUNCT
fcis-7991	105	13	to	to	PART
fcis-7991	105	14	judge	judge	VERB
fcis-7991	105	15	whether	whether	SCONJ
fcis-7991	105	16	two	two	NUM
fcis-7991	105	17	sentences	sentence	NOUN
fcis-7991	105	18	are	be	AUX
fcis-7991	105	19	similar	similar	ADJ
fcis-7991	105	20	.	.	PUNCT
fcis-7991	106	1	the	the	DET
fcis-7991	106	2	main	main	ADJ
fcis-7991	106	3	process	process	NOUN
fcis-7991	106	4	is	be	AUX
fcis-7991	106	5	to	to	PART
fcis-7991	106	6	decompose	decompose	VERB
fcis-7991	106	7	the	the	DET
fcis-7991	106	8	two	two	NUM
fcis-7991	106	9	sentences	sentence	NOUN
fcis-7991	106	10	into	into	ADP
fcis-7991	106	11	state	state	NOUN
fcis-7991	106	12	functions	function	NOUN
fcis-7991	106	13	,	,	PUNCT
fcis-7991	106	14	and	and	CCONJ
fcis-7991	106	15	then	then	ADV
fcis-7991	106	16	use	use	VERB
fcis-7991	106	17	the	the	DET
fcis-7991	106	18	density	density	NOUN
fcis-7991	106	19	matrix	matrix	NOUN
fcis-7991	106	20	to	to	PART
fcis-7991	106	21	represent	represent	VERB
fcis-7991	106	22	the	the	DET
fcis-7991	106	23	meaning	meaning	NOUN
fcis-7991	106	24	of	of	ADP
fcis-7991	106	25	a	a	DET
fcis-7991	106	26	single	single	ADJ
fcis-7991	106	27	complete	complete	ADJ
fcis-7991	106	28	sentence	sentence	NOUN
fcis-7991	106	29	,	,	PUNCT
fcis-7991	106	30	and	and	CCONJ
fcis-7991	106	31	then	then	ADV
fcis-7991	106	32	further	far	ADV
fcis-7991	106	33	obtain	obtain	VERB
fcis-7991	106	34	the	the	DET
fcis-7991	106	35	fidelity	fidelity	NOUN
fcis-7991	106	36	calculation	calculation	NOUN
fcis-7991	106	37	expansion	expansion	NOUN
fcis-7991	106	38	between	between	ADP
fcis-7991	106	39	them	they	PRON
fcis-7991	106	40	,	,	PUNCT
fcis-7991	106	41	and	and	CCONJ
fcis-7991	106	42	then	then	ADV
fcis-7991	106	43	represent	represent	VERB
fcis-7991	106	44	the	the	DET
fcis-7991	106	45	word	word	NOUN
fcis-7991	106	46	as	as	ADP
fcis-7991	106	47	a	a	DET
fcis-7991	106	48	semantic	semantic	ADJ
fcis-7991	106	49	word	word	NOUN
fcis-7991	106	50	vector	vector	NOUN
fcis-7991	106	51	(	(	PUNCT
fcis-7991	106	52	word	word	NOUN
fcis-7991	106	53	embedding	embed	VERB
fcis-7991	106	54	)	)	PUNCT
fcis-7991	106	55	do	do	AUX
fcis-7991	106	56	the	the	DET
fcis-7991	106	57	calculation	calculation	NOUN
fcis-7991	106	58	to	to	PART
fcis-7991	106	59	get	get	VERB
fcis-7991	106	60	the	the	DET
fcis-7991	106	61	similarity	similarity	NOUN
fcis-7991	106	62	value	value	NOUN
fcis-7991	106	63	of	of	ADP
fcis-7991	106	64	the	the	DET
fcis-7991	106	65	two	two	NUM
fcis-7991	106	66	sentences	sentence	NOUN
fcis-7991	106	67	.	.	PUNCT
fcis-7991	107	1	a	a	DET
fcis-7991	107	2	natural	natural	ADJ
fcis-7991	107	3	language	language	NOUN
fcis-7991	107	4	sentence	sentence	NOUN
fcis-7991	107	5	is	be	AUX
fcis-7991	107	6	composed	compose	VERB
fcis-7991	107	7	of	of	ADP
fcis-7991	107	8	words	word	NOUN
fcis-7991	107	9	with	with	ADP
fcis-7991	107	10	different	different	ADJ
fcis-7991	107	11	parts	part	NOUN
fcis-7991	107	12	of	of	ADP
fcis-7991	107	13	speech	speech	NOUN
fcis-7991	107	14	,	,	PUNCT
fcis-7991	107	15	such	such	ADJ
fcis-7991	107	16	as	as	ADP
fcis-7991	107	17	nouns	noun	NOUN
fcis-7991	107	18	,	,	PUNCT
fcis-7991	107	19	verbs	verb	NOUN
fcis-7991	107	20	,	,	PUNCT
fcis-7991	107	21	prepositions	preposition	NOUN
fcis-7991	107	22	and	and	CCONJ
fcis-7991	107	23	adjectives	adjective	NOUN
fcis-7991	107	24	,	,	PUNCT
fcis-7991	107	25	etc	etc	X
fcis-7991	107	26	.	.	X
fcis-7991	108	1	this	this	DET
fcis-7991	108	2	paper	paper	NOUN
fcis-7991	108	3	decomposes	decompose	VERB
fcis-7991	108	4	sentences	sentence	NOUN
fcis-7991	108	5	by	by	ADP
fcis-7991	108	6	parts	part	NOUN
fcis-7991	108	7	of	of	ADP
fcis-7991	108	8	speech	speech	NOUN
fcis-7991	108	9	and	and	CCONJ
fcis-7991	108	10	forms	form	VERB
fcis-7991	108	11	a	a	DET
fcis-7991	108	12	set	set	NOUN
fcis-7991	108	13	}	}	PUNCT
fcis-7991	108	14	...	...	PUNCT
fcis-7991	108	15	,	,	PUNCT
fcis-7991	108	16	{	{	PUNCT
fcis-7991	108	17	i21	i21	NOUN
fcis-7991	108	18	=w	=w	PUNCT
fcis-7991	108	19	,	,	PUNCT
fcis-7991	108	20	where	where	SCONJ
fcis-7991	108	21	i	i	PROPN
fcis-7991	108	22	is	be	AUX
fcis-7991	108	23	a	a	DET
fcis-7991	108	24	set	set	NOUN
fcis-7991	108	25	of	of	ADP
fcis-7991	108	26	words	word	NOUN
fcis-7991	108	27	with	with	ADP
fcis-7991	108	28	different	different	ADJ
fcis-7991	108	29	parts	part	NOUN
fcis-7991	108	30	of	of	ADP
fcis-7991	108	31	speech	speech	NOUN
fcis-7991	108	32	,	,	PUNCT
fcis-7991	108	33	}	}	PUNCT
fcis-7991	108	34	...	...	PUNCT
fcis-7991	108	35	,	,	PUNCT
fcis-7991	108	36	{	{	PUNCT
fcis-7991	108	37	21	21	NUM
fcis-7991	108	38	ji	ji	PROPN
fcis-7991	108	39			NOUN
fcis-7991	109	1	=	=	SYM
fcis-7991	109	2	,	,	PUNCT
fcis-7991	109	3	where	where	SCONJ
fcis-7991	109	4	j	j	NOUN
fcis-7991	109	5	represents	represent	VERB
fcis-7991	109	6	different	different	ADJ
fcis-7991	109	7	words	word	NOUN
fcis-7991	109	8	of	of	ADP
fcis-7991	109	9	the	the	DET
fcis-7991	109	10	same	same	ADJ
fcis-7991	109	11	part	part	NOUN
fcis-7991	109	12	of	of	ADP
fcis-7991	109	13	speech	speech	NOUN
fcis-7991	109	14	,	,	PUNCT
fcis-7991	109	15	for	for	ADP
fcis-7991	109	16	i	i	NOUN
fcis-7991	109	17	,	,	PUNCT
fcis-7991	109	18	where	where	SCONJ
fcis-7991	109	19	the	the	DET
fcis-7991	109	20	word	word	NOUN
fcis-7991	109	21	vectors	vector	NOUN
fcis-7991	109	22	are	be	AUX
fcis-7991	109	23	superimposed	superimpose	VERB
fcis-7991	109	24			PROPN
fcis-7991	109	25	j	j	PROPN
fcis-7991	109	26	j|	j|	PROPN
fcis-7991	109	27	,	,	PUNCT
fcis-7991	109	28	a	a	DET
fcis-7991	109	29	hilbert	hilbert	NOUN
fcis-7991	109	30	space	space	NOUN
fcis-7991	109	31	χ	χ	X
fcis-7991	109	32	whose	whose	DET
fcis-7991	109	33	basis	basis	NOUN
fcis-7991	109	34	vectors	vector	NOUN
fcis-7991	109	35	are	be	AUX
fcis-7991	109	36	orthogonal	orthogonal	ADJ
fcis-7991	109	37	to	to	ADP
fcis-7991	109	38	each	each	DET
fcis-7991	109	39	other	other	ADJ
fcis-7991	109	40	is	be	AUX
fcis-7991	109	41	obtained	obtain	VERB
fcis-7991	109	42	,	,	PUNCT
fcis-7991	109	43	as	as	SCONJ
fcis-7991	109	44	shown	show	VERB
fcis-7991	109	45	in	in	ADP
fcis-7991	109	46	table	table	NOUN
fcis-7991	109	47	1	1	NUM
fcis-7991	109	48	.	.	PUNCT
fcis-7991	109	49	table	table	NOUN
fcis-7991	109	50	1	1	NUM
fcis-7991	109	51	.	.	PUNCT
fcis-7991	110	1	part	part	NOUN
fcis-7991	110	2	of	of	ADP
fcis-7991	110	3	speech	speech	NOUN
fcis-7991	110	4	classification	classification	NOUN
fcis-7991	110	5	of	of	ADP
fcis-7991	110	6	natural	natural	ADJ
fcis-7991	110	7	language	language	NOUN
fcis-7991	110	8	sentences	sentence	NOUN
fcis-7991	110	9	part	part	NOUN
fcis-7991	110	10	of	of	ADP
fcis-7991	110	11	speech	speech	NOUN
fcis-7991	110	12	n	n	PROPN
fcis-7991	110	13	v	v	NOUN
fcis-7991	110	14	adj	adj	X
fcis-7991	110	15	conj	conj	NOUN
fcis-7991	110	16	adj	adj	X
fcis-7991	110	17	n	n	PROPN
fcis-7991	110	18	sentence	sentence	NOUN
fcis-7991	110	19	1	1	NUM
fcis-7991	110	20	i	i	PRON
fcis-7991	110	21	like	like	VERB
fcis-7991	110	22	sunny	sunny	ADJ
fcis-7991	110	23	and	and	CCONJ
fcis-7991	110	24	honest	honest	ADJ
fcis-7991	110	25	boys	boy	NOUN
fcis-7991	110	26	sentence	sentence	VERB
fcis-7991	110	27	2	2	NUM
fcis-7991	110	28	i	i	PRON
fcis-7991	110	29	like	like	VERB
fcis-7991	110	30	handsome	handsome	ADJ
fcis-7991	110	31	and	and	CCONJ
fcis-7991	110	32	cheerful	cheerful	ADJ
fcis-7991	110	33	boys	boy	NOUN
fcis-7991	110	34	the	the	DET
fcis-7991	110	35	hilbert	hilbert	NOUN
fcis-7991	110	36	space	space	NOUN
fcis-7991	110	37	of	of	ADP
fcis-7991	110	38	the	the	DET
fcis-7991	110	39	adjective	adjective	NOUN
fcis-7991	110	40	in	in	ADP
fcis-7991	110	41	sentence	sentence	NOUN
fcis-7991	110	42	1	1	NUM
fcis-7991	110	43	is	be	AUX
fcis-7991	110	44	consists	consist	NOUN
fcis-7991	110	45	of	of	ADP
fcis-7991	110	46	sunny|	sunny|	PRON
fcis-7991	110	47	and	and	CCONJ
fcis-7991	110	48	honest|	honest|	PRON
fcis-7991	110	49	superimposed	superimpose	VERB
fcis-7991	110	50	.	.	PUNCT
fcis-7991	111	1	the	the	DET
fcis-7991	111	2	whole	whole	ADJ
fcis-7991	111	3	sentence	sentence	NOUN
fcis-7991	111	4	can	can	AUX
fcis-7991	111	5	be	be	AUX
fcis-7991	111	6	expressed	express	VERB
fcis-7991	111	7	as	as	ADP
fcis-7991	111	8	"	"	PUNCT
fcis-7991	111	9	i	i	PRON
fcis-7991	111	10	like	like	VERB
fcis-7991	111	11	sunny	sunny	ADJ
fcis-7991	111	12	boys	boy	NOUN
fcis-7991	111	13	"	"	PUNCT
fcis-7991	111	14	and	and	CCONJ
fcis-7991	111	15	"	"	PUNCT
fcis-7991	111	16	i	i	PRON
fcis-7991	111	17	like	like	VERB
fcis-7991	111	18	honest	honest	ADJ
fcis-7991	111	19	boys	boy	NOUN
fcis-7991	111	20	"	"	PUNCT
fcis-7991	111	21	.	.	PUNCT
fcis-7991	112	1	here	here	ADV
fcis-7991	112	2	,	,	PUNCT
fcis-7991	112	3	the	the	DET
fcis-7991	112	4	part	part	NOUN
fcis-7991	112	5	-	-	PUNCT
fcis-7991	112	6	of	of	ADP
fcis-7991	112	7	-	-	PUNCT
fcis-7991	112	8	speech	speech	NOUN
fcis-7991	112	9	set	set	NOUN
fcis-7991	112	10	w	w	NOUN
fcis-7991	112	11	is	be	AUX
fcis-7991	112	12	represented	represent	VERB
fcis-7991	112	13	as	as	ADP
fcis-7991	112	14	a	a	DET
fcis-7991	112	15	state	state	NOUN
fcis-7991	112	16	function	function	NOUN
fcis-7991	112	17	i	i	NOUN
fcis-7991	112	18	+	+	PROPN
fcis-7991	112	19	+	+	ADJ
fcis-7991	112	20	+	+	ADJ
fcis-7991	112	21	=	=	ADJ
fcis-7991	112	22			ADJ
fcis-7991	112	23	...	...	PUNCT
fcis-7991	112	24	|	|	ADV
fcis-7991	112	25	21	21	NUM
fcis-7991	112	26	,	,	PUNCT
fcis-7991	112	27	and	and	CCONJ
fcis-7991	112	28	a	a	DET
fcis-7991	112	29	weight	weight	NOUN
fcis-7991	112	30	is	be	AUX
fcis-7991	112	31	assigned	assign	VERB
fcis-7991	112	32	to	to	ADP
fcis-7991	112	33	each	each	DET
fcis-7991	112	34	hilbert	hilbert	NOUN
fcis-7991	112	35	space	space	NOUN
fcis-7991	112	36	(	(	PUNCT
fcis-7991	112	37	here	here	ADV
fcis-7991	112	38	represented	represent	VERB
fcis-7991	112	39	by	by	ADP
fcis-7991	112	40	a	a	DET
fcis-7991	112	41	complex	complex	ADJ
fcis-7991	112	42	value	value	NOUN
fcis-7991	112	43	ii	ii	NOUN
fcis-7991	113	1	i	i	PRON
fcis-7991	113	2	ep	ep	PROPN
fcis-7991	113	3			PROPN
fcis-7991	114	1	=	=	PRON
fcis-7991	114	2	,	,	PUNCT
fcis-7991	114	3	the	the	DET
fcis-7991	114	4	value	value	NOUN
fcis-7991	114	5	is	be	AUX
fcis-7991	114	6	optional	optional	ADJ
fcis-7991	114	7	)	)	PUNCT
fcis-7991	114	8	,	,	PUNCT
fcis-7991	114	9	the	the	DET
fcis-7991	114	10	weight	weight	NOUN
fcis-7991	114	11	can	can	AUX
fcis-7991	114	12	be	be	AUX
fcis-7991	114	13	understood	understand	VERB
fcis-7991	114	14	it	it	PRON
fcis-7991	114	15	is	be	AUX
fcis-7991	114	16	assigned	assign	VERB
fcis-7991	114	17	for	for	ADP
fcis-7991	114	18	each	each	DET
fcis-7991	114	19	part	part	NOUN
fcis-7991	114	20	of	of	ADP
fcis-7991	114	21	speech	speech	NOUN
fcis-7991	114	22	to	to	PART
fcis-7991	114	23	contribute	contribute	VERB
fcis-7991	114	24	differently	differently	ADV
fcis-7991	114	25	to	to	ADP
fcis-7991	114	26	the	the	DET
fcis-7991	114	27	sentence	sentence	NOUN
fcis-7991	114	28	as	as	ADP
fcis-7991	114	29	a	a	DET
fcis-7991	114	30	whole	whole	NOUN
fcis-7991	114	31	,	,	PUNCT
fcis-7991	114	32	then	then	ADV
fcis-7991	114	33	the	the	DET
fcis-7991	114	34	mathematical	mathematical	ADJ
fcis-7991	114	35	expression	expression	NOUN
fcis-7991	114	36	of	of	ADP
fcis-7991	114	37	the	the	DET
fcis-7991	114	38	function	function	NOUN
fcis-7991	114	39	is	be	AUX
fcis-7991	114	40	as	as	SCONJ
fcis-7991	114	41	follows	follow	VERB
fcis-7991	114	42			PROPN
fcis-7991	114	43			PRON
fcis-7991	115	1	=	=	NOUN
fcis-7991	115	2	=	=	SYM
fcis-7991	115	3			ADJ
fcis-7991	116	1	i	i	PRON
fcis-7991	116	2	i	i	PRON
fcis-7991	117	1	i	i	PRON
fcis-7991	117	2	i	i	PRON
fcis-7991	118	1	ie	ie	X
fcis-7991	118	2	mm	mm	INTJ
fcis-7991	118	3			X
fcis-7991	118	4			PROPN
fcis-7991	118	5	|	|	ADV
fcis-7991	118	6	1	1	NUM
fcis-7991	118	7	|p	|p	NOUN
fcis-7991	118	8	1	1	NUM
fcis-7991	119	1	|	|	ADV
fcis-7991	119	2	i	i	PRON
fcis-7991	119	3	i	i	PRON
fcis-7991	119	4	(	(	PUNCT
fcis-7991	119	5	1	1	X
fcis-7991	119	6	)	)	PUNCT
fcis-7991	119	7	in	in	ADP
fcis-7991	119	8	the	the	DET
fcis-7991	119	9	formula	formula	NOUN
fcis-7991	119	10	,	,	PUNCT
fcis-7991	119	11	m	m	VERB
fcis-7991	119	12	1	1	NUM
fcis-7991	119	13	is	be	AUX
fcis-7991	119	14	the	the	DET
fcis-7991	119	15	normalization	normalization	NOUN
fcis-7991	119	16	coefficient	coefficient	NOUN
fcis-7991	119	17	,	,	PUNCT
fcis-7991	119	18	which	which	PRON
fcis-7991	119	19	ensures	ensure	VERB
fcis-7991	119	20	that	that	SCONJ
fcis-7991	119	21	the	the	DET
fcis-7991	119	22	normalization	normalization	NOUN
fcis-7991	119	23	1|	1|	PRON
fcis-7991	120	1	=	=	SYM
fcis-7991	120	2			ADV
fcis-7991	120	3	,	,	PUNCT
fcis-7991	120	4	where	where	SCONJ
fcis-7991	120	5	n	n	PRON
fcis-7991	120	6	1	1	NUM
fcis-7991	120	7	in	in	ADP
fcis-7991	120	8	=	=	PROPN
fcis-7991	120	9			PROPN
fcis-7991	121	1	j	j	PROPN
fcis-7991	121	2	j	j	PROPN
fcis-7991	121	3	n	n	PRON
fcis-7991	121	4			VERB
fcis-7991	121	5	|1	|1	X
fcis-7991	121	6	is	be	AUX
fcis-7991	121	7	also	also	ADV
fcis-7991	121	8	a	a	DET
fcis-7991	121	9	normalization	normalization	NOUN
fcis-7991	121	10	coefficient	coefficient	NOUN
fcis-7991	121	11	,	,	PUNCT
fcis-7991	121	12	it	it	PRON
fcis-7991	121	13	can	can	AUX
fcis-7991	121	14	be	be	AUX
fcis-7991	121	15	expressed	express	VERB
fcis-7991	121	16	as	as	ADP
fcis-7991	121	17	2	2	NUM
fcis-7991	121	18	)	)	PUNCT
fcis-7991	121	19	|)|(|	|)|(|	NOUN
fcis-7991	121	20	2	2	NUM
fcis-7991	121	21	|)|(|	|)|(|	X
fcis-7991	121	22	2	2	NUM
fcis-7991	121	23	(	(	PUNCT
fcis-7991	121	24	|	|	ADV
fcis-7991	121	25	433211	433211	NUM
fcis-7991	121	26	)	)	PUNCT
fcis-7991	121	27	1	1	NUM
fcis-7991	121	28	(	(	PUNCT
fcis-7991	121	29	4	4	NUM
fcis-7991	121	30	3	3	NUM
fcis-7991	121	31	2	2	NUM
fcis-7991	121	32	1	1	NUM
fcis-7991	121	33	+++++	+++++	NOUN
fcis-7991	121	34	=	=	NOUN
fcis-7991	121	35			NOUN
fcis-7991	121	36	andehonestsunny	andehonestsunny	NOUN
fcis-7991	121	37	e	e	NOUN
fcis-7991	121	38	likeeboysi	likeeboysi	NOUN
fcis-7991	122	1	e	e	NOUN
fcis-7991	122	2	i	i	PRON
fcis-7991	123	1	i	i	PRON
fcis-7991	123	2	i	i	VERB
fcis-7991	123	3	i	i	PRON
fcis-7991	123	4			X
fcis-7991	123	5			X
fcis-7991	123	6			PROPN
fcis-7991	123	7			PROPN
fcis-7991	123	8	2	2	NUM
fcis-7991	123	9	)	)	PUNCT
fcis-7991	123	10	|)cheerful|handsome(|	|)cheerful|handsome(|	NOUN
fcis-7991	123	11	2	2	NUM
fcis-7991	123	12	|)|(|	|)|(|	X
fcis-7991	123	13	2	2	NUM
fcis-7991	123	14	(	(	PUNCT
fcis-7991	123	15	|	|	ADV
fcis-7991	123	16	433211	433211	NUM
fcis-7991	123	17	)	)	PUNCT
fcis-7991	123	18	2	2	NUM
fcis-7991	123	19	(	(	PUNCT
fcis-7991	123	20	4	4	NUM
fcis-7991	123	21	3	3	NUM
fcis-7991	123	22	2	2	NUM
fcis-7991	123	23	1	1	NUM
fcis-7991	123	24	+++++	+++++	NOUN
fcis-7991	123	25	=	=	NOUN
fcis-7991	123	26			ADJ
fcis-7991	123	27	ande	ande	NOUN
fcis-7991	123	28	e	e	NOUN
fcis-7991	123	29	likeeboysi	likeeboysi	NOUN
fcis-7991	124	1	e	e	NOUN
fcis-7991	124	2	i	i	PRON
fcis-7991	125	1	i	i	PRON
fcis-7991	125	2	i	i	VERB
fcis-7991	125	3	i	i	PRON
fcis-7991	125	4			X
fcis-7991	125	5			X
fcis-7991	125	6			PROPN
fcis-7991	125	7			PROPN
fcis-7991	126	1	the	the	DET
fcis-7991	126	2	density	density	NOUN
fcis-7991	126	3	matrix	matrix	NOUN
fcis-7991	126	4	is	be	AUX
fcis-7991	126	5	obtained	obtain	VERB
fcis-7991	126	6	by	by	ADP
fcis-7991	126	7	the	the	DET
fcis-7991	126	8	outer	outer	ADJ
fcis-7991	126	9	product	product	NOUN
fcis-7991	126	10	of	of	ADP
fcis-7991	126	11	the	the	DET
fcis-7991	126	12	state	state	NOUN
fcis-7991	126	13	vectors	vector	NOUN
fcis-7991	126	14	,	,	PUNCT
fcis-7991	126	15	expressed	express	VERB
fcis-7991	126	16	as	as	ADP
fcis-7991	126	17	.||	.||	PROPN
fcis-7991	126	18	1	1	NUM
fcis-7991	127	1	|	|	ADV
fcis-7991	127	2	1	1	NUM
fcis-7991	127	3	|	|	NOUN
fcis-7991	127	4	1	1	NUM
fcis-7991	127	5	||	||	NOUN
fcis-7991	127	6	*	*	PUNCT
fcis-7991	127	7	,	,	PUNCT
fcis-7991	127	8	*	*	PUNCT
fcis-7991	128	1	jij	jij	INTJ
fcis-7991	128	2	ji	ji	INTJ
fcis-7991	129	1	i	i	PRON
fcis-7991	129	2	j	j	PROPN
fcis-7991	130	1	jji	jji	VERB
fcis-7991	130	2	i	i	PRON
fcis-7991	130	3	is	be	AUX
fcis-7991	130	4	pp	pp	ADV
fcis-7991	130	5	m	m	VERB
fcis-7991	130	6	p	p	NOUN
fcis-7991	130	7	m	m	PROPN
fcis-7991	130	8	p	p	NOUN
fcis-7991	130	9	m	m	PROPN
fcis-7991	130	10			NOUN
fcis-7991	130	11	===	===	NOUN
fcis-7991	130	12			PROPN
fcis-7991	130	13	(	(	PUNCT
fcis-7991	130	14	2	2	NUM
fcis-7991	130	15	)	)	PUNCT
fcis-7991	130	16	and	and	CCONJ
fcis-7991	130	17	then	then	ADV
fcis-7991	130	18	get	get	VERB
fcis-7991	130	19	their	their	PRON
fcis-7991	130	20	fidelity	fidelity	NOUN
fcis-7991	130	21	calculation	calculation	NOUN
fcis-7991	130	22	formula	formula	NOUN
fcis-7991	130	23	|,|)1(||	|,|)1(||	NOUN
fcis-7991	130	24	)	)	PUNCT
fcis-7991	131	1	1()1(2)1()1()1	1()1(2)1()1()1	NUM
fcis-7991	131	2	(	(	PUNCT
fcis-7991	131	3	iiip	iiip	PROPN
fcis-7991	131	4			X
fcis-7991	131	5	==	==	PROPN
fcis-7991	131	6	|,|)2(||	|,|)2(||	PROPN
fcis-7991	131	7	)	)	PUNCT
fcis-7991	131	8	2()2(2)2()2()2	2()2(2)2()2()2	PROPN
fcis-7991	131	9	(	(	PUNCT
fcis-7991	131	10	jjjp	jjjp	PROPN
fcis-7991	131	11			PROPN
fcis-7991	131	12	==	==	PROPN
fcis-7991	131	13	(	(	PUNCT
fcis-7991	131	14	3	3	NUM
fcis-7991	131	15	)	)	PUNCT
fcis-7991	131	16	then	then	ADV
fcis-7991	131	17	their	their	PRON
fcis-7991	131	18	fidelity	fidelity	NOUN
fcis-7991	131	19	is	be	AUX
fcis-7991	131	20	calculated	calculate	VERB
fcis-7991	131	21	as	as	ADP
fcis-7991	131	22	2)2()1()2(2)1(2)2()1	2)2()1()2(2)1(2)2()1	NUM
fcis-7991	131	23	(	(	PUNCT
fcis-7991	131	24	|||	|||	NOUN
fcis-7991	131	25	)	)	PUNCT
fcis-7991	131	26	(	(	PUNCT
fcis-7991	131	27	===	===	PROPN
fcis-7991	131	28	jiji	jiji	NOUN
fcis-7991	131	29	pprtf	pprtf	VERB
fcis-7991	131	30			INTJ
fcis-7991	132	1	(	(	PUNCT
fcis-7991	132	2	4	4	X
fcis-7991	132	3	)	)	PUNCT
fcis-7991	132	4	the	the	DET
fcis-7991	132	5	similarity	similarity	NOUN
fcis-7991	132	6	between	between	ADP
fcis-7991	132	7	them	they	PRON
fcis-7991	132	8	can	can	AUX
fcis-7991	132	9	be	be	AUX
fcis-7991	132	10	obtained	obtain	VERB
fcis-7991	132	11	by	by	ADP
fcis-7991	132	12	the	the	DET
fcis-7991	132	13	inner	inner	ADJ
fcis-7991	132	14	product	product	NOUN
fcis-7991	132	15			PROPN
fcis-7991	132	16	)	)	PUNCT
fcis-7991	133	1	2()1	2()1	PROPN
fcis-7991	133	2	(	(	PUNCT
fcis-7991	133	3	|	|	ADV
fcis-7991	133	4	ji	ji	X
fcis-7991	133	5			X
fcis-7991	133	6	of	of	ADP
fcis-7991	133	7	the	the	DET
fcis-7991	133	8	two	two	NUM
fcis-7991	133	9	right	right	ADJ
fcis-7991	133	10	losses	loss	NOUN
fcis-7991	133	11	.	.	PUNCT
fcis-7991	134	1	but	but	CCONJ
fcis-7991	134	2	this	this	PRON
fcis-7991	134	3	is	be	AUX
fcis-7991	134	4	a	a	DET
fcis-7991	134	5	complex	complex	ADJ
fcis-7991	134	6	value	value	NOUN
fcis-7991	134	7	,	,	PUNCT
fcis-7991	134	8	but	but	CCONJ
fcis-7991	134	9	if	if	SCONJ
fcis-7991	134	10	it	it	PRON
fcis-7991	134	11	is	be	AUX
fcis-7991	134	12	multiplied	multiply	VERB
fcis-7991	134	13	by	by	ADP
fcis-7991	134	14	its	its	PRON
fcis-7991	134	15	own	own	ADJ
fcis-7991	134	16	complex	complex	ADJ
fcis-7991	134	17	conjugate	conjugate	NOUN
fcis-7991	134	18	,	,	PUNCT
fcis-7991	134	19	a	a	DET
fcis-7991	134	20	real	real	ADJ
fcis-7991	134	21	value	value	NOUN
fcis-7991	134	22	can	can	AUX
fcis-7991	134	23	be	be	AUX
fcis-7991	134	24	obtained	obtain	VERB
fcis-7991	134	25	,	,	PUNCT
fcis-7991	134	26	which	which	PRON
fcis-7991	134	27	is	be	AUX
fcis-7991	134	28	the	the	DET
fcis-7991	134	29	definition	definition	NOUN
fcis-7991	134	30	of	of	ADP
fcis-7991	134	31	fidelity	fidelity	PROPN
fcis-7991	134	32	.	.	PUNCT
fcis-7991	135	1	represent	represent	VERB
fcis-7991	135	2	each	each	DET
fcis-7991	135	3	word	word	NOUN
fcis-7991	135	4	in	in	ADP
fcis-7991	135	5	it	it	PRON
fcis-7991	135	6	as	as	ADP
fcis-7991	135	7	a	a	DET
fcis-7991	135	8	semantic	semantic	ADJ
fcis-7991	135	9	word	word	NOUN
fcis-7991	135	10	vector	vector	NOUN
fcis-7991	135	11	,	,	PUNCT
fcis-7991	135	12	then	then	ADV
fcis-7991	135	13	calculate	calculate	VERB
fcis-7991	135	14	the	the	DET
fcis-7991	135	15	cosine	cosine	NOUN
fcis-7991	135	16	similarity	similarity	NOUN
fcis-7991	135	17	of	of	ADP
fcis-7991	135	18	the	the	DET
fcis-7991	135	19	two	two	NUM
fcis-7991	135	20	words	word	NOUN
fcis-7991	135	21	,	,	PUNCT
fcis-7991	135	22	accumulate	accumulate	VERB
fcis-7991	135	23	and	and	CCONJ
fcis-7991	135	24	average	average	VERB
fcis-7991	135	25	through	through	ADP
fcis-7991	135	26	the	the	DET
fcis-7991	135	27	loop	loop	NOUN
fcis-7991	135	28	iteration	iteration	NOUN
fcis-7991	135	29	,	,	PUNCT
fcis-7991	135	30	you	you	PRON
fcis-7991	135	31	can	can	AUX
fcis-7991	135	32	get	get	VERB
fcis-7991	135	33	the	the	DET
fcis-7991	135	34	similarity	similarity	NOUN
fcis-7991	135	35	value	value	NOUN
fcis-7991	135	36	of	of	ADP
fcis-7991	135	37	the	the	DET
fcis-7991	135	38	two	two	NUM
fcis-7991	135	39	sentences	sentence	NOUN
fcis-7991	135	40	,	,	PUNCT
fcis-7991	135	41	and	and	CCONJ
fcis-7991	135	42	then	then	ADV
fcis-7991	135	43	perform	perform	VERB
fcis-7991	135	44	nonlinear	nonlinear	ADJ
fcis-7991	135	45	transformation	transformation	NOUN
fcis-7991	135	46	to	to	PART
fcis-7991	135	47	determine	determine	VERB
fcis-7991	135	48	whether	whether	SCONJ
fcis-7991	135	49	the	the	DET
fcis-7991	135	50	two	two	NUM
fcis-7991	135	51	sentences	sentence	NOUN
fcis-7991	135	52	are	be	AUX
fcis-7991	135	53	similar	similar	ADJ
fcis-7991	135	54	,	,	PUNCT
fcis-7991	135	55	gather	gather	VERB
fcis-7991	135	56	sentences	sentence	NOUN
fcis-7991	135	57	judged	judge	VERB
fcis-7991	135	58	to	to	PART
fcis-7991	135	59	be	be	AUX
fcis-7991	135	60	similar	similar	ADJ
fcis-7991	135	61	together	together	ADV
fcis-7991	135	62	to	to	PART
fcis-7991	135	63	form	form	VERB
fcis-7991	135	64	a	a	DET
fcis-7991	135	65	group	group	NOUN
fcis-7991	135	66	.	.	PUNCT
fcis-7991	136	1	3.3	3.3	NUM
fcis-7991	136	2	.	.	PUNCT
fcis-7991	137	1	figure	figure	NOUN
fcis-7991	137	2	(	(	PUNCT
fcis-7991	137	3	1	1	NUM
fcis-7991	137	4	)	)	PUNCT
fcis-7991	137	5	status	status	NOUN
fcis-7991	137	6	number	number	NOUN
fcis-7991	137	7	:	:	PUNCT
fcis-7991	137	8	the	the	DET
fcis-7991	137	9	total	total	ADJ
fcis-7991	137	10	number	number	NOUN
fcis-7991	137	11	of	of	ADP
fcis-7991	137	12	tweets	tweet	NOUN
fcis-7991	137	13	,	,	PUNCT
fcis-7991	137	14	replies	reply	NOUN
fcis-7991	137	15	and	and	CCONJ
fcis-7991	137	16	retweets	retweet	NOUN
fcis-7991	137	17	.	.	PUNCT
fcis-7991	138	1	(	(	PUNCT
fcis-7991	138	2	2	2	X
fcis-7991	138	3	)	)	PUNCT
fcis-7991	138	4	favorite	favorite	ADJ
fcis-7991	138	5	number	number	NOUN
fcis-7991	138	6	:	:	PUNCT
fcis-7991	138	7	the	the	DET
fcis-7991	138	8	total	total	ADJ
fcis-7991	138	9	number	number	NOUN
fcis-7991	138	10	of	of	ADP
fcis-7991	138	11	favorite	favorite	ADJ
fcis-7991	138	12	tweets	tweet	NOUN
fcis-7991	138	13	.	.	PUNCT
fcis-7991	139	1	(	(	PUNCT
fcis-7991	139	2	3	3	X
fcis-7991	139	3	)	)	PUNCT
fcis-7991	139	4	verifier	verifier	NOUN
fcis-7991	139	5	:	:	PUNCT
fcis-7991	139	6	verification	verification	NOUN
fcis-7991	139	7	is	be	AUX
fcis-7991	139	8	mainly	mainly	ADV
fcis-7991	139	9	a	a	DET
fcis-7991	139	10	function	function	NOUN
fcis-7991	139	11	set	set	VERB
fcis-7991	139	12	by	by	ADP
fcis-7991	139	13	twitter	twitter	NOUN
fcis-7991	139	14	in	in	ADP
fcis-7991	139	15	order	order	NOUN
fcis-7991	139	16	to	to	PART
fcis-7991	139	17	allow	allow	VERB
fcis-7991	139	18	some	some	DET
fcis-7991	139	19	users	user	NOUN
fcis-7991	139	20	to	to	PART
fcis-7991	139	21	be	be	AUX
fcis-7991	139	22	better	well	ADV
fcis-7991	139	23	recognized	recognize	VERB
fcis-7991	139	24	by	by	ADP
fcis-7991	139	25	other	other	ADJ
fcis-7991	139	26	users	user	NOUN
fcis-7991	139	27	.	.	PUNCT
fcis-7991	140	1	only	only	ADV
fcis-7991	140	2	after	after	ADP
fcis-7991	140	3	verification	verification	NOUN
fcis-7991	140	4	can	can	AUX
fcis-7991	140	5	there	there	PRON
fcis-7991	140	6	be	be	AUX
fcis-7991	140	7	a	a	DET
fcis-7991	140	8	verification	verification	NOUN
fcis-7991	140	9	label	label	NOUN
fcis-7991	140	10	.	.	PUNCT
fcis-7991	141	1	social	social	ADJ
fcis-7991	141	2	bot	bot	NOUN
fcis-7991	141	3	can	can	AUX
fcis-7991	141	4	not	not	PART
fcis-7991	141	5	pass	pass	VERB
fcis-7991	141	6	the	the	DET
fcis-7991	141	7	verification	verification	NOUN
fcis-7991	141	8	.	.	PUNCT
fcis-7991	142	1	(	(	PUNCT
fcis-7991	142	2	4	4	X
fcis-7991	142	3	)	)	PUNCT
fcis-7991	142	4	ratio	ratio	NOUN
fcis-7991	142	5	of	of	ADP
fcis-7991	142	6	followers	follower	NOUN
fcis-7991	142	7	to	to	ADP
fcis-7991	142	8	following	follow	VERB
fcis-7991	142	9	:	:	PUNCT
fcis-7991	142	10	followers	follower	NOUN
fcis-7991	142	11	and	and	CCONJ
fcis-7991	142	12	following	follow	VERB
fcis-7991	142	13	represent	represent	VERB
fcis-7991	142	14	the	the	DET
fcis-7991	142	15	number	number	NOUN
fcis-7991	142	16	of	of	ADP
fcis-7991	142	17	followers	follower	NOUN
fcis-7991	142	18	and	and	CCONJ
fcis-7991	142	19	41	41	NUM
fcis-7991	142	20	followers	follower	NOUN
fcis-7991	142	21	,	,	PUNCT
fcis-7991	142	22	respectively	respectively	ADV
fcis-7991	142	23	.	.	PUNCT
fcis-7991	143	1	this	this	PRON
fcis-7991	143	2	can	can	AUX
fcis-7991	143	3	also	also	ADV
fcis-7991	143	4	be	be	AUX
fcis-7991	143	5	understood	understand	VERB
fcis-7991	143	6	as	as	ADP
fcis-7991	143	7	the	the	DET
fcis-7991	143	8	relationship	relationship	NOUN
fcis-7991	143	9	between	between	ADP
fcis-7991	143	10	users	user	NOUN
fcis-7991	143	11	.	.	PUNCT
fcis-7991	144	1	normal	normal	ADJ
fcis-7991	144	2	users	user	NOUN
fcis-7991	144	3	will	will	AUX
fcis-7991	144	4	not	not	PART
fcis-7991	144	5	pay	pay	VERB
fcis-7991	144	6	attention	attention	NOUN
fcis-7991	144	7	to	to	ADP
fcis-7991	144	8	social	social	ADJ
fcis-7991	144	9	bot	bot	NOUN
fcis-7991	144	10	,	,	PUNCT
fcis-7991	144	11	and	and	CCONJ
fcis-7991	144	12	social	social	ADJ
fcis-7991	144	13	bot	bot	NOUN
fcis-7991	144	14	will	will	AUX
fcis-7991	144	15	pay	pay	VERB
fcis-7991	144	16	attention	attention	NOUN
fcis-7991	144	17	to	to	ADP
fcis-7991	144	18	normal	normal	ADJ
fcis-7991	144	19	users	user	NOUN
fcis-7991	144	20	for	for	ADP
fcis-7991	144	21	profit	profit	NOUN
fcis-7991	144	22	or	or	CCONJ
fcis-7991	144	23	disguise	disguise	NOUN
fcis-7991	144	24	.	.	PUNCT
fcis-7991	145	1	therefore	therefore	ADV
fcis-7991	145	2	,	,	PUNCT
fcis-7991	145	3	social	social	ADJ
fcis-7991	145	4	bot	bot	NOUN
fcis-7991	145	5	usually	usually	ADV
fcis-7991	145	6	has	have	VERB
fcis-7991	145	7	a	a	DET
fcis-7991	145	8	higher	high	ADJ
fcis-7991	145	9	fpf	fpf	NOUN
fcis-7991	145	10	value	value	NOUN
fcis-7991	145	11	than	than	ADP
fcis-7991	145	12	normal	normal	ADJ
fcis-7991	145	13	users	user	NOUN
fcis-7991	145	14	.	.	PUNCT
fcis-7991	146	1	(	(	PUNCT
fcis-7991	146	2	5	5	X
fcis-7991	146	3	)	)	PUNCT
fcis-7991	146	4	retweet	retweet	NOUN
fcis-7991	146	5	number	number	NOUN
fcis-7991	146	6	:	:	PUNCT
fcis-7991	146	7	the	the	DET
fcis-7991	146	8	number	number	NOUN
fcis-7991	146	9	of	of	ADP
fcis-7991	146	10	tweets	tweet	NOUN
fcis-7991	146	11	retweeted	retweete	VERB
fcis-7991	146	12	by	by	ADP
fcis-7991	146	13	other	other	ADJ
fcis-7991	146	14	users	user	NOUN
fcis-7991	146	15	in	in	ADP
fcis-7991	146	16	practice	practice	NOUN
fcis-7991	146	17	.	.	PUNCT
fcis-7991	147	1	usually	usually	ADV
fcis-7991	147	2	,	,	PUNCT
fcis-7991	147	3	tweets	tweet	NOUN
fcis-7991	147	4	published	publish	VERB
fcis-7991	147	5	by	by	ADP
fcis-7991	147	6	normal	normal	ADJ
fcis-7991	147	7	users	user	NOUN
fcis-7991	147	8	are	be	AUX
fcis-7991	147	9	rarely	rarely	ADV
fcis-7991	147	10	retweeted	retweete	VERB
fcis-7991	147	11	by	by	ADP
fcis-7991	147	12	other	other	ADJ
fcis-7991	147	13	users	user	NOUN
fcis-7991	147	14	,	,	PUNCT
fcis-7991	147	15	so	so	SCONJ
fcis-7991	147	16	the	the	DET
fcis-7991	147	17	ret	ret	PROPN
fcis-7991	147	18	value	value	NOUN
fcis-7991	147	19	of	of	ADP
fcis-7991	147	20	social	social	ADJ
fcis-7991	147	21	bot	bot	NOUN
fcis-7991	147	22	will	will	AUX
fcis-7991	147	23	be	be	AUX
fcis-7991	147	24	higher	high	ADJ
fcis-7991	147	25	than	than	ADP
fcis-7991	147	26	that	that	PRON
fcis-7991	147	27	of	of	ADP
fcis-7991	147	28	normal	normal	ADJ
fcis-7991	147	29	users	user	NOUN
fcis-7991	147	30	.	.	PUNCT
fcis-7991	148	1	(	(	PUNCT
fcis-7991	148	2	6	6	NUM
fcis-7991	148	3	)	)	PUNCT
fcis-7991	148	4	the	the	DET
fcis-7991	148	5	original	original	ADJ
fcis-7991	148	6	amount	amount	NOUN
fcis-7991	148	7	:	:	PUNCT
fcis-7991	148	8	the	the	DET
fcis-7991	148	9	original	original	ADJ
fcis-7991	148	10	proportion	proportion	NOUN
fcis-7991	148	11	of	of	ADP
fcis-7991	148	12	user	user	NOUN
fcis-7991	148	13	tweets	tweet	NOUN
fcis-7991	148	14	.	.	PUNCT
fcis-7991	149	1	normal	normal	ADJ
fcis-7991	149	2	users	user	NOUN
fcis-7991	149	3	use	use	VERB
fcis-7991	149	4	twitter	twitter	NOUN
fcis-7991	149	5	to	to	PART
fcis-7991	149	6	express	express	VERB
fcis-7991	149	7	their	their	PRON
fcis-7991	149	8	views	view	NOUN
fcis-7991	149	9	on	on	ADP
fcis-7991	149	10	life	life	NOUN
fcis-7991	149	11	dynamics	dynamic	NOUN
fcis-7991	149	12	or	or	CCONJ
fcis-7991	149	13	events	event	NOUN
fcis-7991	149	14	,	,	PUNCT
fcis-7991	149	15	while	while	SCONJ
fcis-7991	149	16	social	social	ADJ
fcis-7991	149	17	bot	bot	NOUN
fcis-7991	149	18	will	will	AUX
fcis-7991	149	19	retweet	retweet	VERB
fcis-7991	149	20	other	other	ADJ
fcis-7991	149	21	people	people	NOUN
fcis-7991	149	22	’s	’s	PART
fcis-7991	149	23	tweets	tweet	NOUN
fcis-7991	149	24	for	for	ADP
fcis-7991	149	25	this	this	DET
fcis-7991	149	26	purpose	purpose	NOUN
fcis-7991	149	27	,	,	PUNCT
fcis-7991	149	28	so	so	ADV
fcis-7991	149	29	usually	usually	ADV
fcis-7991	149	30	the	the	DET
fcis-7991	149	31	originalp	originalp	ADJ
fcis-7991	149	32	value	value	NOUN
fcis-7991	149	33	for	for	ADP
fcis-7991	149	34	normal	normal	ADJ
fcis-7991	149	35	users	user	NOUN
fcis-7991	149	36	will	will	AUX
fcis-7991	149	37	be	be	AUX
fcis-7991	149	38	higher	high	ADJ
fcis-7991	149	39	.	.	PUNCT
fcis-7991	150	1	(	(	PUNCT
fcis-7991	150	2	7	7	X
fcis-7991	150	3	)	)	PUNCT
fcis-7991	150	4	quantity	quantity	NOUN
fcis-7991	150	5	:	:	PUNCT
fcis-7991	150	6	in	in	ADP
fcis-7991	150	7	the	the	DET
fcis-7991	150	8	selected	select	VERB
fcis-7991	150	9	event	event	NOUN
fcis-7991	150	10	or	or	CCONJ
fcis-7991	150	11	topic	topic	NOUN
fcis-7991	150	12	,	,	PUNCT
fcis-7991	150	13	for	for	ADP
fcis-7991	150	14	the	the	DET
fcis-7991	150	15	purpose	purpose	NOUN
fcis-7991	150	16	of	of	ADP
fcis-7991	150	17	interest	interest	NOUN
fcis-7991	150	18	,	,	PUNCT
fcis-7991	150	19	usually	usually	ADV
fcis-7991	150	20	social	social	ADJ
fcis-7991	150	21	bot	bot	NOUN
fcis-7991	150	22	will	will	AUX
fcis-7991	150	23	tweet	tweet	VERB
fcis-7991	150	24	and	and	CCONJ
fcis-7991	150	25	retweet	retweet	VERB
fcis-7991	150	26	more	more	ADJ
fcis-7991	150	27	than	than	ADP
fcis-7991	150	28	normal	normal	ADJ
fcis-7991	150	29	users	user	NOUN
fcis-7991	150	30	on	on	ADP
fcis-7991	150	31	the	the	DET
fcis-7991	150	32	event	event	NOUN
fcis-7991	150	33	topic	topic	NOUN
fcis-7991	150	34	,	,	PUNCT
fcis-7991	150	35	so	so	ADV
fcis-7991	150	36	usually	usually	ADV
fcis-7991	150	37	the	the	DET
fcis-7991	150	38	quantity	quantity	NOUN
fcis-7991	150	39	value	value	NOUN
fcis-7991	150	40	of	of	ADP
fcis-7991	150	41	social	social	ADJ
fcis-7991	150	42	bot	bot	NOUN
fcis-7991	150	43	will	will	AUX
fcis-7991	150	44	be	be	AUX
fcis-7991	150	45	higher	high	ADJ
fcis-7991	150	46	than	than	ADP
fcis-7991	150	47	that	that	PRON
fcis-7991	150	48	of	of	ADP
fcis-7991	150	49	normal	normal	ADJ
fcis-7991	150	50	users	user	NOUN
fcis-7991	150	51	.	.	PUNCT
fcis-7991	151	1	higher	high	ADJ
fcis-7991	151	2	.	.	PUNCT
fcis-7991	152	1	(	(	PUNCT
fcis-7991	152	2	8)	8)	NUM
fcis-7991	152	3	registration	registration	NOUN
fcis-7991	152	4	date	date	NOUN
fcis-7991	152	5	:	:	PUNCT
fcis-7991	152	6	calculation	calculation	NOUN
fcis-7991	152	7	formula	formula	NOUN
fcis-7991	152	8	:	:	PUNCT
fcis-7991	152	9	the	the	DET
fcis-7991	152	10	total	total	ADJ
fcis-7991	152	11	number	number	NOUN
fcis-7991	152	12	of	of	ADP
fcis-7991	152	13	days	day	NOUN
fcis-7991	152	14	from	from	ADP
fcis-7991	152	15	the	the	DET
fcis-7991	152	16	registration	registration	NOUN
fcis-7991	152	17	time	time	NOUN
fcis-7991	152	18	to	to	ADP
fcis-7991	152	19	the	the	DET
fcis-7991	152	20	present	present	ADJ
fcis-7991	152	21	time	time	NOUN
fcis-7991	152	22	/	/	PUNCT
fcis-7991	152	23	the	the	DET
fcis-7991	152	24	number	number	NOUN
fcis-7991	152	25	of	of	ADP
fcis-7991	152	26	days	day	NOUN
fcis-7991	152	27	in	in	ADP
fcis-7991	152	28	a	a	DET
fcis-7991	152	29	year	year	NOUN
fcis-7991	152	30	(	(	PUNCT
fcis-7991	152	31	the	the	DET
fcis-7991	152	32	experimental	experimental	ADJ
fcis-7991	152	33	value	value	NOUN
fcis-7991	152	34	is	be	AUX
fcis-7991	152	35	366	366	NUM
fcis-7991	152	36	)	)	PUNCT
fcis-7991	152	37	.	.	PUNCT
fcis-7991	153	1	usually	usually	ADV
fcis-7991	153	2	,	,	PUNCT
fcis-7991	153	3	the	the	DET
fcis-7991	153	4	registration	registration	NOUN
fcis-7991	153	5	time	time	NOUN
fcis-7991	153	6	of	of	ADP
fcis-7991	153	7	social	social	ADJ
fcis-7991	153	8	bot	bot	NOUN
fcis-7991	153	9	will	will	AUX
fcis-7991	153	10	be	be	AUX
fcis-7991	153	11	related	relate	VERB
fcis-7991	153	12	to	to	ADP
fcis-7991	153	13	the	the	DET
fcis-7991	153	14	topic	topic	NOUN
fcis-7991	153	15	of	of	ADP
fcis-7991	153	16	the	the	DET
fcis-7991	153	17	event	event	NOUN
fcis-7991	153	18	,	,	PUNCT
fcis-7991	153	19	such	such	ADJ
fcis-7991	153	20	as	as	ADP
fcis-7991	153	21	registration	registration	NOUN
fcis-7991	153	22	after	after	SCONJ
fcis-7991	153	23	the	the	DET
fcis-7991	153	24	event	event	NOUN
fcis-7991	153	25	occurs	occur	VERB
fcis-7991	153	26	.	.	PUNCT
fcis-7991	154	1	so	so	ADV
fcis-7991	154	2	usually	usually	ADV
fcis-7991	154	3	the	the	DET
fcis-7991	154	4	regtime	regtime	ADJ
fcis-7991	154	5	value	value	NOUN
fcis-7991	154	6	of	of	ADP
fcis-7991	154	7	social	social	ADJ
fcis-7991	154	8	bot	bot	NOUN
fcis-7991	154	9	will	will	AUX
fcis-7991	154	10	be	be	AUX
fcis-7991	154	11	lower	low	ADJ
fcis-7991	154	12	than	than	ADP
fcis-7991	154	13	that	that	PRON
fcis-7991	154	14	of	of	ADP
fcis-7991	154	15	normal	normal	ADJ
fcis-7991	154	16	users	user	NOUN
fcis-7991	154	17	.	.	PUNCT
fcis-7991	155	1	4	4	X
fcis-7991	155	2	.	.	X
fcis-7991	155	3	experimental	experimental	ADJ
fcis-7991	155	4	results	result	NOUN
fcis-7991	155	5	4.1	4.1	NUM
fcis-7991	155	6	.	.	PUNCT
fcis-7991	155	7	dataset	dataset	VERB
fcis-7991	155	8	the	the	DET
fcis-7991	155	9	social	social	ADJ
fcis-7991	155	10	platform	platform	NOUN
fcis-7991	155	11	selected	select	VERB
fcis-7991	155	12	in	in	ADP
fcis-7991	155	13	this	this	DET
fcis-7991	155	14	paper	paper	NOUN
fcis-7991	155	15	is	be	AUX
fcis-7991	155	16	twitter	twitter	NOUN
fcis-7991	155	17	.	.	PUNCT
fcis-7991	156	1	the	the	DET
fcis-7991	156	2	data	datum	NOUN
fcis-7991	156	3	set	set	VERB
fcis-7991	156	4	is	be	AUX
fcis-7991	156	5	based	base	VERB
fcis-7991	156	6	on	on	ADP
fcis-7991	156	7	the	the	DET
fcis-7991	156	8	api	api	NOUN
fcis-7991	156	9	interface	interface	NOUN
fcis-7991	156	10	provided	provide	VERB
fcis-7991	156	11	by	by	ADP
fcis-7991	156	12	the	the	DET
fcis-7991	156	13	platform	platform	NOUN
fcis-7991	156	14	and	and	CCONJ
fcis-7991	156	15	crawled	crawl	VERB
fcis-7991	156	16	by	by	ADP
fcis-7991	156	17	crawlers	crawler	NOUN
fcis-7991	156	18	.	.	PUNCT
fcis-7991	157	1	the	the	DET
fcis-7991	157	2	selected	select	VERB
fcis-7991	157	3	topic	topic	NOUN
fcis-7991	157	4	is	be	AUX
fcis-7991	157	5	"	"	PUNCT
fcis-7991	157	6	huawei	huawei	NOUN
fcis-7991	157	7	+	+	CCONJ
fcis-7991	157	8	5	5	NUM
fcis-7991	157	9	g	g	NOUN
fcis-7991	157	10	"	"	PUNCT
fcis-7991	157	11	,	,	PUNCT
fcis-7991	157	12	with	with	ADP
fcis-7991	157	13	a	a	DET
fcis-7991	157	14	total	total	NOUN
fcis-7991	157	15	of	of	ADP
fcis-7991	157	16	36,677	36,677	NUM
fcis-7991	157	17	pieces	piece	NOUN
fcis-7991	157	18	of	of	ADP
fcis-7991	157	19	data	datum	NOUN
fcis-7991	157	20	.	.	PUNCT
fcis-7991	158	1	the	the	DET
fcis-7991	158	2	selected	select	VERB
fcis-7991	158	3	fields	field	NOUN
fcis-7991	158	4	are	be	AUX
fcis-7991	158	5	the	the	DET
fcis-7991	158	6	original	original	ADJ
fcis-7991	158	7	post	post	NOUN
fcis-7991	158	8	link	link	NOUN
fcis-7991	158	9	,	,	PUNCT
fcis-7991	158	10	content	content	NOUN
fcis-7991	158	11	and	and	CCONJ
fcis-7991	158	12	key	key	ADJ
fcis-7991	158	13	.	.	PUNCT
fcis-7991	159	1	words	word	NOUN
fcis-7991	159	2	,	,	PUNCT
fcis-7991	159	3	post	post	NOUN
fcis-7991	159	4	time	time	NOUN
fcis-7991	159	5	,	,	PUNCT
fcis-7991	159	6	author	author	NOUN
fcis-7991	159	7	,	,	PUNCT
fcis-7991	159	8	author	author	NOUN
fcis-7991	159	9	link	link	PROPN
fcis-7991	159	10	,	,	PUNCT
fcis-7991	159	11	likes	like	NOUN
fcis-7991	159	12	,	,	PUNCT
fcis-7991	159	13	platform	platform	NOUN
fcis-7991	159	14	,	,	PUNCT
fcis-7991	159	15	replies	reply	NOUN
fcis-7991	159	16	,	,	PUNCT
fcis-7991	159	17	retweets	retweet	NOUN
fcis-7991	159	18	,	,	PUNCT
fcis-7991	159	19	and	and	CCONJ
fcis-7991	159	20	author	author	NOUN
fcis-7991	159	21	location	location	NOUN
fcis-7991	159	22	.	.	PUNCT
fcis-7991	160	1	the	the	DET
fcis-7991	160	2	user	user	NOUN
fcis-7991	160	3	information	information	PROPN
fcis-7991	160	4	data	datum	NOUN
fcis-7991	160	5	fields	field	NOUN
fcis-7991	160	6	are	be	AUX
fcis-7991	160	7	the	the	DET
fcis-7991	160	8	number	number	NOUN
fcis-7991	160	9	of	of	ADP
fcis-7991	160	10	pictures	picture	NOUN
fcis-7991	160	11	and	and	CCONJ
fcis-7991	160	12	texts	text	NOUN
fcis-7991	160	13	,	,	PUNCT
fcis-7991	160	14	the	the	DET
fcis-7991	160	15	number	number	NOUN
fcis-7991	160	16	of	of	ADP
fcis-7991	160	17	likes	like	NOUN
fcis-7991	160	18	,	,	PUNCT
fcis-7991	160	19	the	the	DET
fcis-7991	160	20	number	number	NOUN
fcis-7991	160	21	of	of	ADP
fcis-7991	160	22	fans	fan	NOUN
fcis-7991	160	23	,	,	PUNCT
fcis-7991	160	24	the	the	DET
fcis-7991	160	25	number	number	NOUN
fcis-7991	160	26	of	of	ADP
fcis-7991	160	27	followers	follower	NOUN
fcis-7991	160	28	,	,	PUNCT
fcis-7991	160	29	the	the	DET
fcis-7991	160	30	number	number	NOUN
fcis-7991	160	31	of	of	ADP
fcis-7991	160	32	original	original	ADJ
fcis-7991	160	33	tweets	tweet	NOUN
fcis-7991	160	34	,	,	PUNCT
fcis-7991	160	35	the	the	DET
fcis-7991	160	36	total	total	ADJ
fcis-7991	160	37	number	number	NOUN
fcis-7991	160	38	of	of	ADP
fcis-7991	160	39	tweets	tweet	NOUN
fcis-7991	160	40	,	,	PUNCT
fcis-7991	160	41	whether	whether	SCONJ
fcis-7991	160	42	to	to	PART
fcis-7991	160	43	authenticate	authenticate	VERB
fcis-7991	160	44	,	,	PUNCT
fcis-7991	160	45	and	and	CCONJ
fcis-7991	160	46	the	the	DET
fcis-7991	160	47	registration	registration	NOUN
fcis-7991	160	48	time	time	NOUN
fcis-7991	160	49	.	.	PUNCT
fcis-7991	161	1	we	we	PRON
fcis-7991	161	2	select	select	VERB
fcis-7991	161	3	two	two	NUM
fcis-7991	161	4	types	type	NOUN
fcis-7991	161	5	of	of	ADP
fcis-7991	161	6	social	social	ADJ
fcis-7991	161	7	bot	bot	NOUN
fcis-7991	161	8	groups	group	NOUN
fcis-7991	161	9	for	for	ADP
fcis-7991	161	10	experimental	experimental	ADJ
fcis-7991	161	11	comparison	comparison	NOUN
fcis-7991	161	12	in	in	ADP
fcis-7991	161	13	our	our	PRON
fcis-7991	161	14	experiments	experiment	NOUN
fcis-7991	161	15	:	:	PUNCT
fcis-7991	161	16	(	(	PUNCT
fcis-7991	161	17	a	a	X
fcis-7991	161	18	)	)	PUNCT
fcis-7991	161	19	the	the	DET
fcis-7991	161	20	exact	exact	ADJ
fcis-7991	161	21	type	type	NOUN
fcis-7991	161	22	of	of	ADP
fcis-7991	161	23	tweet	tweet	NOUN
fcis-7991	161	24	replication	replication	NOUN
fcis-7991	161	25	(	(	PUNCT
fcis-7991	161	26	b	b	X
fcis-7991	161	27	)	)	PUNCT
fcis-7991	161	28	the	the	DET
fcis-7991	161	29	type	type	NOUN
fcis-7991	161	30	of	of	ADP
fcis-7991	161	31	tweets	tweet	NOUN
fcis-7991	161	32	with	with	ADP
fcis-7991	161	33	the	the	DET
fcis-7991	161	34	same	same	ADJ
fcis-7991	161	35	semantics	semantic	NOUN
fcis-7991	161	36	and	and	CCONJ
fcis-7991	161	37	roughly	roughly	ADV
fcis-7991	161	38	similar	similar	ADJ
fcis-7991	161	39	types	type	NOUN
fcis-7991	161	40	of	of	ADP
fcis-7991	161	41	tweet	tweet	NOUN
fcis-7991	161	42	texts	text	NOUN
fcis-7991	161	43	.	.	PUNCT
fcis-7991	162	1	both	both	DET
fcis-7991	162	2	social	social	ADJ
fcis-7991	162	3	bot	bot	NOUN
fcis-7991	162	4	groups	group	NOUN
fcis-7991	162	5	were	be	AUX
fcis-7991	162	6	manually	manually	ADV
fcis-7991	162	7	labeled	label	VERB
fcis-7991	162	8	in	in	ADP
fcis-7991	162	9	the	the	DET
fcis-7991	162	10	dataset	dataset	NOUN
fcis-7991	162	11	.	.	PUNCT
fcis-7991	163	1	4.2	4.2	NUM
fcis-7991	163	2	.	.	PUNCT
fcis-7991	164	1	comparison	comparison	NOUN
fcis-7991	164	2	of	of	ADP
fcis-7991	164	3	experimental	experimental	ADJ
fcis-7991	164	4	results	result	NOUN
fcis-7991	164	5	figure	figure	VERB
fcis-7991	164	6	2	2	NUM
fcis-7991	164	7	.	.	PUNCT
fcis-7991	164	8	test	test	NOUN
fcis-7991	164	9	results	result	NOUN
fcis-7991	164	10	of	of	ADP
fcis-7991	164	11	type	type	NOUN
fcis-7991	164	12	a	a	DET
fcis-7991	164	13	social	social	ADJ
fcis-7991	164	14	bot	bot	NOUN
fcis-7991	164	15	team	team	NOUN
fcis-7991	164	16	figure	figure	VERB
fcis-7991	164	17	3	3	NUM
fcis-7991	164	18	.	.	PUNCT
fcis-7991	164	19	test	test	NOUN
fcis-7991	164	20	results	result	NOUN
fcis-7991	164	21	of	of	ADP
fcis-7991	164	22	type	type	NOUN
fcis-7991	164	23	b	b	PROPN
fcis-7991	164	24	social	social	ADJ
fcis-7991	164	25	bot	bot	NOUN
fcis-7991	164	26	team	team	NOUN
fcis-7991	164	27	the	the	DET
fcis-7991	164	28	experiments	experiment	NOUN
fcis-7991	164	29	in	in	ADP
fcis-7991	164	30	this	this	DET
fcis-7991	164	31	paper	paper	NOUN
fcis-7991	164	32	found	find	VERB
fcis-7991	164	33	that	that	SCONJ
fcis-7991	164	34	similarity	similarity	NOUN
fcis-7991	164	35	clustering	cluster	VERB
fcis-7991	164	36	filtering	filtering	NOUN
fcis-7991	164	37	is	be	AUX
fcis-7991	164	38	very	very	ADV
fcis-7991	164	39	important	important	ADJ
fcis-7991	164	40	in	in	ADP
fcis-7991	164	41	identifying	identify	VERB
fcis-7991	164	42	social	social	ADJ
fcis-7991	164	43	bot	bot	NOUN
fcis-7991	164	44	or	or	CCONJ
fcis-7991	164	45	eliminating	eliminate	VERB
fcis-7991	164	46	the	the	DET
fcis-7991	164	47	amount	amount	NOUN
fcis-7991	164	48	of	of	ADP
fcis-7991	164	49	data	datum	NOUN
fcis-7991	164	50	,	,	PUNCT
fcis-7991	164	51	which	which	PRON
fcis-7991	164	52	can	can	AUX
fcis-7991	164	53	reduce	reduce	VERB
fcis-7991	164	54	a	a	DET
fcis-7991	164	55	lot	lot	NOUN
fcis-7991	164	56	of	of	ADP
fcis-7991	164	57	data	datum	NOUN
fcis-7991	164	58	.	.	PUNCT
fcis-7991	165	1	figure	figure	NOUN
fcis-7991	165	2	2	2	NUM
fcis-7991	165	3	is	be	AUX
fcis-7991	165	4	the	the	DET
fcis-7991	165	5	detection	detection	NOUN
fcis-7991	165	6	result	result	NOUN
fcis-7991	165	7	of	of	ADP
fcis-7991	165	8	the	the	DET
fcis-7991	165	9	a	a	DET
fcis-7991	165	10	-	-	PUNCT
fcis-7991	165	11	type	type	NOUN
fcis-7991	165	12	social	social	ADJ
fcis-7991	165	13	bot	bot	NOUN
fcis-7991	165	14	team	team	NOUN
fcis-7991	165	15	.	.	PUNCT
fcis-7991	166	1	the	the	DET
fcis-7991	166	2	accuracy	accuracy	NOUN
fcis-7991	166	3	histogram	histogram	NOUN
fcis-7991	166	4	of	of	ADP
fcis-7991	166	5	the	the	DET
fcis-7991	166	6	three	three	NUM
fcis-7991	166	7	algorithms	algorithm	NOUN
fcis-7991	166	8	shows	show	VERB
fcis-7991	166	9	that	that	SCONJ
fcis-7991	166	10	the	the	DET
fcis-7991	166	11	accuracy	accuracy	NOUN
fcis-7991	166	12	of	of	ADP
fcis-7991	166	13	quantum	quantum	ADJ
fcis-7991	166	14	similarity	similarity	NOUN
fcis-7991	166	15	is	be	AUX
fcis-7991	166	16	about	about	ADV
fcis-7991	166	17	97	97	NUM
fcis-7991	166	18	%	%	NOUN
fcis-7991	166	19	,	,	PUNCT
fcis-7991	166	20	which	which	PRON
fcis-7991	166	21	is	be	AUX
fcis-7991	166	22	2	2	NUM
fcis-7991	166	23	%	%	NOUN
fcis-7991	166	24	higher	high	ADJ
fcis-7991	166	25	than	than	ADP
fcis-7991	166	26	the	the	DET
fcis-7991	166	27	other	other	ADJ
fcis-7991	166	28	two	two	NUM
fcis-7991	166	29	traditional	traditional	ADJ
fcis-7991	166	30	similarity	similarity	NOUN
fcis-7991	166	31	algorithms	algorithm	NOUN
fcis-7991	166	32	.	.	PUNCT
fcis-7991	167	1	figure	figure	VERB
fcis-7991	167	2	3	3	NUM
fcis-7991	167	3	b	b	NOUN
fcis-7991	167	4	-	-	PUNCT
fcis-7991	167	5	type	type	NOUN
fcis-7991	167	6	the	the	DET
fcis-7991	167	7	detection	detection	NOUN
fcis-7991	167	8	results	result	NOUN
fcis-7991	167	9	of	of	ADP
fcis-7991	167	10	the	the	DET
fcis-7991	167	11	social	social	ADJ
fcis-7991	167	12	bot	bot	NOUN
fcis-7991	167	13	team	team	NOUN
fcis-7991	167	14	show	show	VERB
fcis-7991	167	15	that	that	SCONJ
fcis-7991	167	16	the	the	DET
fcis-7991	167	17	accuracy	accuracy	NOUN
fcis-7991	167	18	rate	rate	NOUN
fcis-7991	167	19	of	of	ADP
fcis-7991	167	20	quantum	quantum	ADJ
fcis-7991	167	21	similarity	similarity	NOUN
fcis-7991	167	22	is	be	AUX
fcis-7991	167	23	about	about	ADV
fcis-7991	167	24	85	85	NUM
fcis-7991	167	25	%	%	NOUN
fcis-7991	167	26	,	,	PUNCT
fcis-7991	167	27	which	which	PRON
fcis-7991	167	28	is	be	AUX
fcis-7991	167	29	3	3	NUM
fcis-7991	167	30	%	%	NOUN
fcis-7991	167	31	and	and	CCONJ
fcis-7991	167	32	5	5	NUM
fcis-7991	167	33	%	%	NOUN
fcis-7991	167	34	higher	high	ADJ
fcis-7991	167	35	than	than	ADP
fcis-7991	167	36	the	the	DET
fcis-7991	167	37	other	other	ADJ
fcis-7991	167	38	two	two	NUM
fcis-7991	167	39	algorithms	algorithm	NOUN
fcis-7991	167	40	,	,	PUNCT
fcis-7991	167	41	respectively	respectively	ADV
fcis-7991	167	42	.	.	PUNCT
fcis-7991	168	1	experiments	experiment	NOUN
fcis-7991	168	2	show	show	VERB
fcis-7991	168	3	that	that	SCONJ
fcis-7991	168	4	the	the	DET
fcis-7991	168	5	method	method	NOUN
fcis-7991	168	6	we	we	PRON
fcis-7991	168	7	designed	design	VERB
fcis-7991	168	8	can	can	AUX
fcis-7991	168	9	accurately	accurately	ADV
fcis-7991	168	10	identify	identify	VERB
fcis-7991	168	11	social	social	ADJ
fcis-7991	168	12	bot	bot	NOUN
fcis-7991	168	13	,	,	PUNCT
fcis-7991	168	14	and	and	CCONJ
fcis-7991	168	15	the	the	DET
fcis-7991	168	16	crossdisciplinary	crossdisciplinary	ADJ
fcis-7991	168	17	combination	combination	NOUN
fcis-7991	168	18	the	the	DET
fcis-7991	168	19	quantum	quantum	ADJ
fcis-7991	168	20	similarity	similarity	NOUN
fcis-7991	168	21	algorithm	algorithm	NOUN
fcis-7991	168	22	has	have	VERB
fcis-7991	168	23	better	well	ADJ
fcis-7991	168	24	performance	performance	NOUN
fcis-7991	168	25	than	than	ADP
fcis-7991	168	26	the	the	DET
fcis-7991	168	27	traditional	traditional	ADJ
fcis-7991	168	28	similarity	similarity	NOUN
fcis-7991	168	29	algorithm	algorithm	NOUN
fcis-7991	168	30	in	in	ADP
fcis-7991	168	31	judging	judge	VERB
fcis-7991	168	32	the	the	DET
fcis-7991	168	33	similarity	similarity	NOUN
fcis-7991	168	34	of	of	ADP
fcis-7991	168	35	social	social	ADJ
fcis-7991	168	36	bot	bot	NOUN
fcis-7991	168	37	texts	text	NOUN
fcis-7991	168	38	.	.	PUNCT
fcis-7991	169	1	5	5	X
fcis-7991	169	2	.	.	X
fcis-7991	169	3	conclusion	conclusion	NOUN
fcis-7991	169	4	we	we	PRON
fcis-7991	169	5	briefly	briefly	ADV
fcis-7991	169	6	introduce	introduce	VERB
fcis-7991	169	7	the	the	DET
fcis-7991	169	8	background	background	NOUN
fcis-7991	169	9	and	and	CCONJ
fcis-7991	169	10	meaning	meaning	NOUN
fcis-7991	169	11	of	of	ADP
fcis-7991	169	12	social	social	ADJ
fcis-7991	169	13	bot	bot	NOUN
fcis-7991	169	14	recognition	recognition	NOUN
fcis-7991	169	15	,	,	PUNCT
fcis-7991	169	16	and	and	CCONJ
fcis-7991	169	17	then	then	ADV
fcis-7991	169	18	gives	give	VERB
fcis-7991	169	19	an	an	DET
fcis-7991	169	20	overview	overview	NOUN
fcis-7991	169	21	of	of	ADP
fcis-7991	169	22	the	the	DET
fcis-7991	169	23	current	current	ADJ
fcis-7991	169	24	related	related	ADJ
fcis-7991	169	25	work	work	NOUN
fcis-7991	169	26	,	,	PUNCT
fcis-7991	169	27	and	and	CCONJ
fcis-7991	169	28	designs	design	VERB
fcis-7991	169	29	a	a	DET
fcis-7991	169	30	detection	detection	NOUN
fcis-7991	169	31	method	method	NOUN
fcis-7991	169	32	for	for	ADP
fcis-7991	169	33	social	social	ADJ
fcis-7991	169	34	bot	bot	NOUN
fcis-7991	169	35	.	.	PUNCT
fcis-7991	170	1	first	first	ADV
fcis-7991	170	2	,	,	PUNCT
fcis-7991	170	3	the	the	DET
fcis-7991	170	4	user	user	NOUN
fcis-7991	170	5	's	's	PART
fcis-7991	170	6	published	publish	VERB
fcis-7991	170	7	text	text	NOUN
fcis-7991	170	8	is	be	AUX
fcis-7991	170	9	used	use	VERB
fcis-7991	170	10	as	as	ADP
fcis-7991	170	11	input	input	NOUN
fcis-7991	170	12	to	to	PART
fcis-7991	170	13	eliminate	eliminate	VERB
fcis-7991	170	14	data	datum	NOUN
fcis-7991	170	15	and	and	CCONJ
fcis-7991	170	16	then	then	ADV
fcis-7991	170	17	use	use	VERB
fcis-7991	170	18	sentiment	sentiment	NOUN
fcis-7991	170	19	analysis	analysis	NOUN
fcis-7991	170	20	.	.	PUNCT
fcis-7991	171	1	classify	classify	VERB
fcis-7991	171	2	it	it	PRON
fcis-7991	171	3	and	and	CCONJ
fcis-7991	171	4	then	then	ADV
fcis-7991	171	5	use	use	VERB
fcis-7991	171	6	the	the	DET
fcis-7991	171	7	quantum	quantum	ADJ
fcis-7991	171	8	similarity	similarity	NOUN
fcis-7991	171	9	algorithm	algorithm	NOUN
fcis-7991	171	10	to	to	ADP
fcis-7991	171	11	cluster	cluster	NOUN
fcis-7991	171	12	and	and	CCONJ
fcis-7991	171	13	filter	filter	VERB
fcis-7991	171	14	out	out	ADP
fcis-7991	171	15	the	the	DET
fcis-7991	171	16	clusters	cluster	NOUN
fcis-7991	171	17	,	,	PUNCT
fcis-7991	171	18	and	and	CCONJ
fcis-7991	171	19	finally	finally	ADV
fcis-7991	171	20	get	get	VERB
fcis-7991	171	21	the	the	DET
fcis-7991	171	22	user	user	NOUN
fcis-7991	171	23	characteristics	characteristic	NOUN
fcis-7991	171	24	corresponding	correspond	VERB
fcis-7991	171	25	to	to	ADP
fcis-7991	171	26	the	the	DET
fcis-7991	171	27	text	text	NOUN
fcis-7991	171	28	and	and	CCONJ
fcis-7991	171	29	use	use	VERB
fcis-7991	171	30	the	the	DET
fcis-7991	171	31	artificial	artificial	ADJ
fcis-7991	171	32	intelligence	intelligence	NOUN
fcis-7991	171	33	algorithm	algorithm	NOUN
fcis-7991	171	34	for	for	ADP
fcis-7991	171	35	detection	detection	NOUN
fcis-7991	171	36	.	.	PUNCT
fcis-7991	172	1	this	this	DET
fcis-7991	172	2	method	method	NOUN
fcis-7991	172	3	combines	combine	VERB
fcis-7991	172	4	the	the	DET
fcis-7991	172	5	quantum	quantum	ADJ
fcis-7991	172	6	similarity	similarity	NOUN
fcis-7991	172	7	algorithm	algorithm	NOUN
fcis-7991	172	8	of	of	ADP
fcis-7991	172	9	quantum	quantum	ADJ
fcis-7991	172	10	science	science	NOUN
fcis-7991	172	11	and	and	CCONJ
fcis-7991	172	12	the	the	DET
fcis-7991	172	13	detection	detection	NOUN
fcis-7991	172	14	of	of	ADP
fcis-7991	172	15	social	social	ADJ
fcis-7991	172	16	bot	bot	NOUN
fcis-7991	172	17	in	in	ADP
fcis-7991	172	18	computer	computer	NOUN
fcis-7991	172	19	science	science	NOUN
fcis-7991	172	20	.	.	PUNCT
fcis-7991	173	1	an	an	DET
fcis-7991	173	2	interdisciplinary	interdisciplinary	ADJ
fcis-7991	173	3	combination	combination	NOUN
fcis-7991	173	4	was	be	AUX
fcis-7991	173	5	carried	carry	VERB
fcis-7991	173	6	out	out	ADP
fcis-7991	173	7	,	,	PUNCT
fcis-7991	173	8	two	two	NUM
fcis-7991	173	9	types	type	NOUN
fcis-7991	173	10	of	of	ADP
fcis-7991	173	11	social	social	ADJ
fcis-7991	173	12	bot	bot	NOUN
fcis-7991	173	13	groups	group	NOUN
fcis-7991	173	14	were	be	AUX
fcis-7991	173	15	manually	manually	ADV
fcis-7991	173	16	marked	mark	VERB
fcis-7991	173	17	from	from	ADP
fcis-7991	173	18	the	the	DET
fcis-7991	173	19	data	datum	NOUN
fcis-7991	173	20	set	set	VERB
fcis-7991	173	21	,	,	PUNCT
fcis-7991	173	22	and	and	CCONJ
fcis-7991	173	23	two	two	NUM
fcis-7991	173	24	classical	classical	ADJ
fcis-7991	173	25	similarity	similarity	NOUN
fcis-7991	173	26	algorithms	algorithm	NOUN
fcis-7991	173	27	were	be	AUX
fcis-7991	173	28	selected	select	VERB
fcis-7991	173	29	for	for	ADP
fcis-7991	173	30	comparative	comparative	ADJ
fcis-7991	173	31	experiments	experiment	NOUN
fcis-7991	173	32	.	.	PUNCT
fcis-7991	174	1	references	reference	NOUN
fcis-7991	174	2	[	[	X
fcis-7991	174	3	1	1	NUM
fcis-7991	174	4	]	]	X
fcis-7991	174	5	shi	shi	PROPN
fcis-7991	174	6	,	,	PUNCT
fcis-7991	174	7	w.	w.	PROPN
fcis-7991	174	8	,	,	PUNCT
fcis-7991	174	9	et	et	PROPN
fcis-7991	174	10	al	al	PROPN
fcis-7991	174	11	.	.	PROPN
fcis-7991	174	12	(	(	PUNCT
fcis-7991	174	13	2020	2020	NUM
fcis-7991	174	14	)	)	PUNCT
fcis-7991	174	15	.	.	PUNCT
fcis-7991	175	1	"	"	PUNCT
fcis-7991	175	2	social	social	ADJ
fcis-7991	175	3	bot	bot	NOUN
fcis-7991	175	4	'	'	PART
fcis-7991	175	5	sentiment	sentiment	NOUN
fcis-7991	175	6	engagement	engagement	NOUN
fcis-7991	175	7	in	in	ADP
fcis-7991	175	8	health	health	NOUN
fcis-7991	175	9	emergencies	emergency	NOUN
fcis-7991	175	10	:	:	PUNCT
fcis-7991	175	11	a	a	DET
fcis-7991	175	12	topic	topic	NOUN
fcis-7991	175	13	-	-	PUNCT
fcis-7991	175	14	based	base	VERB
fcis-7991	175	15	analysis	analysis	NOUN
fcis-7991	175	16	of	of	ADP
fcis-7991	175	17	the	the	DET
fcis-7991	175	18	covid19	covid19	NOUN
fcis-7991	175	19	pandemic	pandemic	ADJ
fcis-7991	175	20	discussions	discussion	NOUN
fcis-7991	175	21	on	on	ADP
fcis-7991	175	22	twitter	twitter	NOUN
fcis-7991	175	23	.	.	PUNCT
fcis-7991	175	24	"	"	PUNCT
fcis-7991	176	1	int	int	PROPN
fcis-7991	176	2	j	j	PROPN
fcis-7991	176	3	environ	environ	PROPN
fcis-7991	176	4	res	re	VERB
fcis-7991	176	5	public	public	ADJ
fcis-7991	176	6	health	health	NOUN
fcis-7991	176	7	17(22	17(22	PROPN
fcis-7991	176	8	)	)	PUNCT
fcis-7991	176	9	.	.	PUNCT
fcis-7991	177	1	[	[	X
fcis-7991	177	2	2	2	NUM
fcis-7991	177	3	]	]	X
fcis-7991	177	4	hagen	hagen	PROPN
fcis-7991	177	5	,	,	PUNCT
fcis-7991	177	6	l.	l.	PROPN
fcis-7991	177	7	,	,	PUNCT
fcis-7991	177	8	et	et	PROPN
fcis-7991	177	9	al	al	PROPN
fcis-7991	177	10	.	.	PROPN
fcis-7991	177	11	(	(	PUNCT
fcis-7991	177	12	2020	2020	NUM
fcis-7991	177	13	)	)	PUNCT
fcis-7991	177	14	.	.	PUNCT
fcis-7991	178	1	"	"	PUNCT
fcis-7991	178	2	rise	rise	NOUN
fcis-7991	178	3	of	of	ADP
fcis-7991	178	4	the	the	DET
fcis-7991	178	5	machines	machine	NOUN
fcis-7991	178	6	?	?	PUNCT
fcis-7991	179	1	examining	examine	VERB
fcis-7991	179	2	the	the	DET
fcis-7991	179	3	influence	influence	NOUN
fcis-7991	179	4	of	of	ADP
fcis-7991	179	5	social	social	ADJ
fcis-7991	179	6	bot	bot	NOUN
fcis-7991	179	7	on	on	ADP
fcis-7991	179	8	a	a	DET
fcis-7991	179	9	political	political	ADJ
fcis-7991	179	10	discussion	discussion	NOUN
fcis-7991	179	11	network	network	NOUN
fcis-7991	179	12	.	.	PUNCT
fcis-7991	179	13	"	"	PUNCT
fcis-7991	180	1	social	social	ADJ
fcis-7991	180	2	science	science	NOUN
fcis-7991	180	3	computer	computer	NOUN
fcis-7991	180	4	review	review	NOUN
fcis-7991	180	5	40(2	40(2	NUM
fcis-7991	180	6	):	):	PUNCT
fcis-7991	180	7	264	264	NUM
fcis-7991	180	8	-	-	SYM
fcis-7991	180	9	287	287	NUM
fcis-7991	180	10	.	.	PUNCT
fcis-7991	181	1	[	[	X
fcis-7991	181	2	3	3	NUM
fcis-7991	181	3	]	]	PUNCT
fcis-7991	181	4	bingqing	bingqing	NOUN
fcis-7991	181	5	,	,	PUNCT
fcis-7991	181	6	m.	m.	NOUN
fcis-7991	181	7	and	and	CCONJ
fcis-7991	181	8	m.	m.	NOUN
fcis-7991	181	9	lei	lei	PROPN
fcis-7991	181	10	(	(	PUNCT
fcis-7991	181	11	2021	2021	NUM
fcis-7991	181	12	)	)	PUNCT
fcis-7991	181	13	.	.	PUNCT
fcis-7991	182	1	"	"	PUNCT
fcis-7991	182	2	study	study	VERB
fcis-7991	182	3	on	on	ADP
fcis-7991	182	4	sentence	sentence	NOUN
fcis-7991	182	5	similarity	similarity	NOUN
fcis-7991	182	6	based	base	VERB
fcis-7991	182	7	on	on	ADP
fcis-7991	182	8	quantum	quantum	ADJ
fcis-7991	182	9	theory	theory	NOUN
fcis-7991	182	10	.	.	PUNCT
fcis-7991	182	11	"	"	PUNCT
fcis-7991	183	1	journal	journal	PROPN
fcis-7991	183	2	of	of	ADP
fcis-7991	183	3	east	east	PROPN
fcis-7991	183	4	china	china	PROPN
fcis-7991	183	5	normal	normal	PROPN
fcis-7991	183	6	university	university	PROPN
fcis-7991	183	7	(	(	PUNCT
fcis-7991	183	8	natural	natural	ADJ
fcis-7991	183	9	science	science	NOUN
fcis-7991	183	10	)	)	PUNCT
fcis-7991	183	11	2021(1	2021(1	NUM
fcis-7991	183	12	):	):	PUNCT
fcis-7991	183	13	60	60	NUM
fcis-7991	183	14	.	.	PUNCT
fcis-7991	184	1	[	[	X
fcis-7991	184	2	4	4	NUM
fcis-7991	184	3	]	]	PUNCT
fcis-7991	184	4	rodríguez	rodríguez	NOUN
fcis-7991	184	5	-	-	PUNCT
fcis-7991	184	6	ruiz	ruiz	NOUN
fcis-7991	184	7	,	,	PUNCT
fcis-7991	184	8	j.	j.	PROPN
fcis-7991	184	9	,	,	PUNCT
fcis-7991	184	10	et	et	PROPN
fcis-7991	184	11	al	al	PROPN
fcis-7991	184	12	.	.	PROPN
fcis-7991	184	13	(	(	PUNCT
fcis-7991	184	14	2020	2020	NUM
fcis-7991	184	15	)	)	PUNCT
fcis-7991	184	16	.	.	PUNCT
fcis-7991	185	1	"	"	PUNCT
fcis-7991	185	2	a	a	DET
fcis-7991	185	3	one	one	NUM
fcis-7991	185	4	-	-	PUNCT
fcis-7991	185	5	class	class	NOUN
fcis-7991	185	6	classification	classification	NOUN
fcis-7991	185	7	approach	approach	NOUN
fcis-7991	185	8	for	for	ADP
fcis-7991	185	9	bot	bot	NOUN
fcis-7991	185	10	detection	detection	NOUN
fcis-7991	185	11	on	on	ADP
fcis-7991	185	12	twitter	twitter	NOUN
fcis-7991	185	13	.	.	PUNCT
fcis-7991	185	14	"	"	PUNCT
fcis-7991	186	1	computers	computer	NOUN
fcis-7991	186	2	&	&	CCONJ
fcis-7991	186	3	security	security	NOUN
fcis-7991	186	4	91	91	NUM
fcis-7991	186	5	.	.	PUNCT
fcis-7991	187	1	[	[	X
fcis-7991	187	2	5	5	NUM
fcis-7991	187	3	]	]	SYM
fcis-7991	187	4	wu	wu	PROPN
fcis-7991	187	5	,	,	PUNCT
fcis-7991	187	6	b.	b.	PROPN
fcis-7991	187	7	,	,	PUNCT
fcis-7991	187	8	et	et	PROPN
fcis-7991	187	9	al	al	PROPN
fcis-7991	187	10	.	.	PROPN
fcis-7991	187	11	(	(	PUNCT
fcis-7991	187	12	2020	2020	NUM
fcis-7991	187	13	)	)	PUNCT
fcis-7991	187	14	.	.	PUNCT
fcis-7991	188	1	"	"	PUNCT
fcis-7991	188	2	using	use	VERB
fcis-7991	188	3	improved	improved	ADJ
fcis-7991	188	4	conditional	conditional	ADJ
fcis-7991	188	5	generative	generative	ADJ
fcis-7991	188	6	adversarial	adversarial	ADJ
fcis-7991	188	7	networks	network	NOUN
fcis-7991	188	8	to	to	PART
fcis-7991	188	9	detect	detect	VERB
fcis-7991	188	10	social	social	ADJ
fcis-7991	188	11	bot	bot	NOUN
fcis-7991	188	12	on	on	ADP
fcis-7991	188	13	twitter	twitter	NOUN
fcis-7991	188	14	.	.	PUNCT
fcis-7991	188	15	"	"	PUNCT
fcis-7991	189	1	ieee	ieee	NOUN
fcis-7991	189	2	access	access	NOUN
fcis-7991	189	3	8	8	NUM
fcis-7991	189	4	:	:	PUNCT
fcis-7991	189	5	36664	36664	NUM
fcis-7991	189	6	-	-	SYM
fcis-7991	189	7	36680	36680	NUM
fcis-7991	189	8	.	.	PUNCT
fcis-7991	190	1	94	94	NUM
fcis-7991	190	2	%	%	NOUN
fcis-7991	190	3	95	95	NUM
fcis-7991	190	4	%	%	NOUN
fcis-7991	190	5	96	96	NUM
fcis-7991	190	6	%	%	NOUN
fcis-7991	190	7	97	97	NUM
fcis-7991	190	8	%	%	NOUN
fcis-7991	190	9	98	98	NUM
fcis-7991	190	10	%	%	NOUN
fcis-7991	190	11	quantum_sim	quantum_sim	NOUN
fcis-7991	190	12	cosine_sim	cosine_sim	PROPN
fcis-7991	190	13	jaccard	jaccard	ADJ
fcis-7991	190	14	accuracy	accuracy	NOUN
fcis-7991	190	15	76	76	NUM
fcis-7991	190	16	%	%	NOUN
fcis-7991	190	17	78	78	NUM
fcis-7991	190	18	%	%	NOUN
fcis-7991	190	19	80	80	NUM
fcis-7991	190	20	%	%	NOUN
fcis-7991	190	21	82	82	NUM
fcis-7991	190	22	%	%	NOUN
fcis-7991	190	23	84	84	NUM
fcis-7991	190	24	%	%	NOUN
fcis-7991	190	25	86	86	NUM
fcis-7991	190	26	%	%	NOUN
fcis-7991	190	27	quantum_sim	quantum_sim	NOUN
fcis-7991	190	28	cosine_sim	cosine_sim	PROPN
fcis-7991	190	29	jaccard	jaccard	VERB
fcis-7991	190	30	accuracy	accuracy	NOUN
fcis-7991	190	31	42	42	NUM
fcis-7991	191	1	[	[	X
fcis-7991	191	2	6	6	NUM
fcis-7991	191	3	]	]	X
fcis-7991	191	4	feng	feng	X
fcis-7991	191	5	,	,	PUNCT
fcis-7991	191	6	y.	y.	PROPN
fcis-7991	191	7	,	,	PUNCT
fcis-7991	191	8	et	et	PROPN
fcis-7991	191	9	al	al	PROPN
fcis-7991	191	10	.	.	PROPN
fcis-7991	191	11	(	(	PUNCT
fcis-7991	191	12	2020	2020	NUM
fcis-7991	191	13	)	)	PUNCT
fcis-7991	191	14	.	.	PUNCT
fcis-7991	192	1	"	"	PUNCT
fcis-7991	192	2	towards	towards	ADP
fcis-7991	192	3	learning	learning	NOUN
fcis-7991	192	4	-	-	PUNCT
fcis-7991	192	5	based	base	VERB
fcis-7991	192	6	,	,	PUNCT
fcis-7991	192	7	contentagnostic	contentagnostic	ADJ
fcis-7991	192	8	detection	detection	NOUN
fcis-7991	192	9	of	of	ADP
fcis-7991	192	10	social	social	ADJ
fcis-7991	192	11	bot	bot	NOUN
fcis-7991	192	12	traffic	traffic	NOUN
fcis-7991	192	13	.	.	PUNCT
fcis-7991	192	14	"	"	PUNCT
fcis-7991	193	1	ieee	ieee	NOUN
fcis-7991	193	2	transactions	transaction	NOUN
fcis-7991	193	3	on	on	ADP
fcis-7991	193	4	dependable	dependable	ADJ
fcis-7991	193	5	and	and	CCONJ
fcis-7991	193	6	secure	secure	ADJ
fcis-7991	193	7	computing	computing	NOUN
fcis-7991	193	8	:	:	PUNCT
fcis-7991	193	9	1	1	NUM
fcis-7991	193	10	-	-	SYM
fcis-7991	193	11	1	1	NUM
fcis-7991	193	12	.	.	PUNCT
fcis-7991	194	1	[	[	X
fcis-7991	194	2	7	7	NUM
fcis-7991	194	3	]	]	SYM
fcis-7991	194	4	wu	wu	PROPN
fcis-7991	194	5	,	,	PUNCT
fcis-7991	194	6	y.	y.	PROPN
fcis-7991	194	7	,	,	PUNCT
fcis-7991	194	8	et	et	PROPN
fcis-7991	194	9	al	al	PROPN
fcis-7991	194	10	.	.	PROPN
fcis-7991	194	11	(	(	PUNCT
fcis-7991	194	12	2021	2021	NUM
fcis-7991	194	13	)	)	PUNCT
fcis-7991	194	14	.	.	PUNCT
fcis-7991	195	1	"	"	PUNCT
fcis-7991	195	2	a	a	DET
fcis-7991	195	3	novel	novel	ADJ
fcis-7991	195	4	framework	framework	NOUN
fcis-7991	195	5	for	for	ADP
fcis-7991	195	6	detecting	detect	VERB
fcis-7991	195	7	social	social	ADJ
fcis-7991	195	8	bot	bot	NOUN
fcis-7991	195	9	with	with	ADP
fcis-7991	195	10	deep	deep	ADJ
fcis-7991	195	11	neural	neural	ADJ
fcis-7991	195	12	networks	network	NOUN
fcis-7991	195	13	and	and	CCONJ
fcis-7991	195	14	active	active	ADJ
fcis-7991	195	15	learning	learning	NOUN
fcis-7991	195	16	.	.	PUNCT
fcis-7991	195	17	"	"	PUNCT
fcis-7991	196	1	knowledge	knowledge	NOUN
fcis-7991	196	2	-	-	PUNCT
fcis-7991	196	3	based	base	VERB
fcis-7991	196	4	systems	system	NOUN
fcis-7991	196	5	211	211	NUM
fcis-7991	196	6	.	.	PUNCT
fcis-7991	197	1	[	[	X
fcis-7991	197	2	8	8	NUM
fcis-7991	197	3	]	]	X
fcis-7991	197	4	kudugunta	kudugunta	NOUN
fcis-7991	197	5	,	,	PUNCT
fcis-7991	197	6	s.	s.	PROPN
fcis-7991	197	7	and	and	CCONJ
fcis-7991	197	8	e.	e.	PROPN
fcis-7991	197	9	ferrara	ferrara	PROPN
fcis-7991	197	10	(	(	PUNCT
fcis-7991	197	11	2018	2018	NUM
fcis-7991	197	12	)	)	PUNCT
fcis-7991	197	13	.	.	PUNCT
fcis-7991	198	1	"	"	PUNCT
fcis-7991	198	2	deep	deep	ADJ
fcis-7991	198	3	neural	neural	ADJ
fcis-7991	198	4	networks	network	NOUN
fcis-7991	198	5	for	for	ADP
fcis-7991	198	6	bot	bot	NOUN
fcis-7991	198	7	detection	detection	NOUN
fcis-7991	198	8	.	.	PUNCT
fcis-7991	198	9	"	"	PUNCT
fcis-7991	199	1	information	information	NOUN
fcis-7991	199	2	sciences	science	NOUN
fcis-7991	199	3	467	467	NUM
fcis-7991	199	4	:	:	PUNCT
fcis-7991	199	5	312	312	NUM
fcis-7991	199	6	-	-	SYM
fcis-7991	199	7	322	322	NUM
fcis-7991	199	8	.	.	PUNCT
fcis-7991	200	1	[	[	X
fcis-7991	200	2	9	9	NUM
fcis-7991	200	3	]	]	SYM
fcis-7991	200	4	lingam	lingam	NOUN
fcis-7991	200	5	,	,	PUNCT
fcis-7991	200	6	g.	g.	PROPN
fcis-7991	200	7	,	,	PUNCT
fcis-7991	200	8	et	et	PROPN
fcis-7991	200	9	al	al	PROPN
fcis-7991	200	10	.	.	PROPN
fcis-7991	200	11	(	(	PUNCT
fcis-7991	200	12	2019	2019	NUM
fcis-7991	200	13	)	)	PUNCT
fcis-7991	200	14	.	.	PUNCT
fcis-7991	201	1	"	"	PUNCT
fcis-7991	201	2	adaptive	adaptive	ADJ
fcis-7991	201	3	deep	deep	ADJ
fcis-7991	201	4	q	q	NOUN
fcis-7991	201	5	-	-	PUNCT
fcis-7991	201	6	learning	learn	VERB
fcis-7991	201	7	model	model	NOUN
fcis-7991	201	8	for	for	ADP
fcis-7991	201	9	detecting	detect	VERB
fcis-7991	201	10	social	social	ADJ
fcis-7991	201	11	bot	bot	NOUN
fcis-7991	201	12	and	and	CCONJ
fcis-7991	201	13	influential	influential	ADJ
fcis-7991	201	14	users	user	NOUN
fcis-7991	201	15	in	in	ADP
fcis-7991	201	16	online	online	ADJ
fcis-7991	201	17	social	social	ADJ
fcis-7991	201	18	networks	network	NOUN
fcis-7991	201	19	.	.	PUNCT
fcis-7991	201	20	"	"	PUNCT
fcis-7991	201	21	applied	apply	VERB
fcis-7991	201	22	intelligence	intelligence	NOUN
fcis-7991	201	23	49(11	49(11	PROPN
fcis-7991	201	24	):	):	PUNCT
fcis-7991	201	25	3947	3947	NUM
fcis-7991	201	26	-	-	SYM
fcis-7991	201	27	3964	3964	NUM
fcis-7991	201	28	.	.	PUNCT
fcis-7991	202	1	[	[	X
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fcis-7991	202	3	]	]	X
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fcis-7991	202	5	,	,	PUNCT
fcis-7991	202	6	p.	p.	PROPN
fcis-7991	202	7	,	,	PUNCT
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fcis-7991	202	9	al	al	PROPN
fcis-7991	202	10	.	.	PUNCT
fcis-7991	202	11	(	(	PUNCT
fcis-7991	202	12	2015	2015	NUM
fcis-7991	202	13	)	)	PUNCT
fcis-7991	202	14	.	.	PUNCT
fcis-7991	203	1	"	"	PUNCT
fcis-7991	203	2	sybilframe	sybilframe	NOUN
fcis-7991	203	3	:	:	PUNCT
fcis-7991	203	4	a	a	DET
fcis-7991	203	5	defense	defense	NOUN
fcis-7991	203	6	-	-	PUNCT
fcis-7991	203	7	in	in	ADP
fcis-7991	203	8	-	-	PUNCT
fcis-7991	203	9	depth	depth	NOUN
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fcis-7991	203	14	based	base	VERB
fcis-7991	203	15	sybil	sybil	NOUN
fcis-7991	203	16	detection	detection	NOUN
fcis-7991	203	17	.	.	PUNCT
fcis-7991	203	18	"	"	PUNCT
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fcis-7991	204	2	preprint	preprint	NOUN
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fcis-7991	204	4	.	.	PUNCT
fcis-7991	205	1	[	[	X
fcis-7991	205	2	11	11	NUM
fcis-7991	205	3	]	]	X
fcis-7991	205	4	zhang	zhang	PROPN
fcis-7991	205	5	,	,	PUNCT
fcis-7991	205	6	x.	x.	PROPN
fcis-7991	205	7	,	,	PUNCT
fcis-7991	205	8	et	et	PROPN
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fcis-7991	205	11	(	(	PUNCT
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fcis-7991	205	13	)	)	PUNCT
fcis-7991	205	14	.	.	PUNCT
fcis-7991	206	1	sybil	sybil	ADJ
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fcis-7991	206	3	in	in	ADP
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fcis-7991	206	5	-	-	PUNCT
fcis-7991	206	6	activity	activity	NOUN
fcis-7991	206	7	networks	network	NOUN
fcis-7991	206	8	:	:	PUNCT
fcis-7991	206	9	modeling	modeling	NOUN
fcis-7991	206	10	,	,	PUNCT
fcis-7991	206	11	algorithms	algorithm	NOUN
fcis-7991	206	12	and	and	CCONJ
fcis-7991	206	13	evaluations	evaluation	NOUN
fcis-7991	206	14	.	.	PUNCT
fcis-7991	207	1	2018	2018	NUM
fcis-7991	207	2	ieee	ieee	NOUN
fcis-7991	207	3	26th	26th	ADJ
fcis-7991	207	4	international	international	ADJ
fcis-7991	207	5	conference	conference	NOUN
fcis-7991	207	6	on	on	ADP
fcis-7991	207	7	network	network	NOUN
fcis-7991	207	8	protocols	protocol	NOUN
fcis-7991	207	9	(	(	PUNCT
fcis-7991	207	10	icnp	icnp	ADJ
fcis-7991	207	11	):	):	PUNCT
fcis-7991	207	12	44	44	NUM
fcis-7991	207	13	-	-	SYM
fcis-7991	207	14	54	54	NUM
fcis-7991	207	15	.	.	PUNCT
fcis-7991	208	1	[	[	X
fcis-7991	208	2	12	12	NUM
fcis-7991	208	3	]	]	X
fcis-7991	208	4	el	el	PROPN
fcis-7991	208	5	-	-	PUNCT
fcis-7991	208	6	mawass	mawass	PROPN
fcis-7991	208	7	,	,	PUNCT
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fcis-7991	208	9	,	,	PUNCT
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fcis-7991	208	12	.	.	PUNCT
fcis-7991	209	1	(	(	PUNCT
fcis-7991	209	2	2018	2018	NUM
fcis-7991	209	3	)	)	PUNCT
fcis-7991	209	4	.	.	PUNCT
fcis-7991	210	1	supervised	supervise	VERB
fcis-7991	210	2	classification	classification	NOUN
fcis-7991	210	3	of	of	ADP
fcis-7991	210	4	social	social	ADJ
fcis-7991	210	5	spammers	spammer	NOUN
fcis-7991	210	6	using	use	VERB
fcis-7991	210	7	a	a	DET
fcis-7991	210	8	similarity	similarity	NOUN
fcis-7991	210	9	-	-	PUNCT
fcis-7991	210	10	based	base	VERB
fcis-7991	210	11	markov	markov	NOUN
fcis-7991	210	12	random	random	ADJ
fcis-7991	210	13	field	field	NOUN
fcis-7991	210	14	approach	approach	NOUN
fcis-7991	210	15	.	.	PUNCT
fcis-7991	211	1	proceedings	proceeding	NOUN
fcis-7991	211	2	of	of	ADP
fcis-7991	211	3	the	the	DET
fcis-7991	211	4	5th	5th	ADJ
fcis-7991	211	5	multidisciplinary	multidisciplinary	ADJ
fcis-7991	211	6	international	international	ADJ
fcis-7991	211	7	social	social	ADJ
fcis-7991	211	8	networks	network	NOUN
fcis-7991	211	9	conference	conference	NOUN
fcis-7991	211	10	on	on	ADP
fcis-7991	211	11	misnc	misnc	PROPN
fcis-7991	211	12	'	'	NUM
fcis-7991	211	13	18	18	NUM
fcis-7991	211	14	:	:	SYM
fcis-7991	211	15	18	18	NUM
fcis-7991	211	16	.	.	PUNCT
fcis-7991	212	1	[	[	X
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fcis-7991	212	4	hutto	hutto	PROPN
fcis-7991	212	5	,	,	PUNCT
fcis-7991	212	6	c.j	c.j	PROPN
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fcis-7991	212	10	,	,	PUNCT
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fcis-7991	212	13	(	(	PUNCT
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fcis-7991	212	15	)	)	PUNCT
fcis-7991	212	16	.	.	PUNCT
fcis-7991	213	1	vader	vader	NOUN
fcis-7991	213	2	:	:	PUNCT
fcis-7991	213	3	a	a	DET
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fcis-7991	213	6	-	-	PUNCT
fcis-7991	213	7	based	base	VERB
fcis-7991	213	8	model	model	NOUN
fcis-7991	213	9	for	for	ADP
fcis-7991	213	10	sentiment	sentiment	NOUN
fcis-7991	213	11	analysis	analysis	NOUN
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fcis-7991	213	13	social	social	ADJ
fcis-7991	213	14	media	medium	NOUN
fcis-7991	213	15	text	text	NOUN
fcis-7991	213	16	.	.	PUNCT
fcis-7991	214	1	eighth	eighth	ADJ
fcis-7991	214	2	international	international	ADJ
fcis-7991	214	3	conference	conference	NOUN
fcis-7991	214	4	on	on	ADP
fcis-7991	214	5	weblogs	weblog	NOUN
fcis-7991	214	6	and	and	CCONJ
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fcis-7991	214	8	media	medium	NOUN
fcis-7991	214	9	(	(	PUNCT
fcis-7991	214	10	icwsm-14	icwsm-14	PROPN
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fcis-7991	214	12	.	.	PUNCT
fcis-7991	215	1	ann	ann	PROPN
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fcis-7991	215	4	mi	mi	PROPN
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fcis-7991	215	6	june	june	PROPN
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fcis-7991	215	8	.	.	PUNCT
fcis-7991	216	1	[	[	X
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fcis-7991	216	3	]	]	X
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fcis-7991	216	5	,	,	PUNCT
fcis-7991	216	6	steven	steven	PROPN
fcis-7991	216	7	,	,	PUNCT
fcis-7991	216	8	edward	edward	PROPN
fcis-7991	216	9	loper	loper	PROPN
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fcis-7991	216	11	ewan	ewan	PROPN
fcis-7991	216	12	klein	klein	PROPN
fcis-7991	216	13	(	(	PUNCT
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fcis-7991	216	15	language	language	NOUN
fcis-7991	216	16	processing	processing	NOUN
fcis-7991	216	17	with	with	ADP
fcis-7991	216	18	python	python	PROPN
fcis-7991	216	19	.	.	PUNCT
fcis-7991	217	1	o'reilly	o'reilly	PROPN
fcis-7991	217	2	media	media	PROPN
fcis-7991	217	3	inc	inc	PROPN
fcis-7991	217	4	.	.	PUNCT