id	sid	tid	token	lemma	pos
fbem-12038	1	1	frontiers	frontier	NOUN
fbem-12038	1	2	in	in	ADP
fbem-12038	1	3	business	business	NOUN
fbem-12038	1	4	,	,	PUNCT
fbem-12038	1	5	economics	economic	NOUN
fbem-12038	1	6	and	and	CCONJ
fbem-12038	1	7	management	management	NOUN
fbem-12038	1	8	issn	issn	PROPN
fbem-12038	1	9	:	:	PUNCT
fbem-12038	1	10	2766	2766	NUM
fbem-12038	1	11	-	-	PUNCT
fbem-12038	1	12	824x	824x	NUM
fbem-12038	1	13	|	|	ADJ
fbem-12038	1	14	vol	vol	NOUN
fbem-12038	1	15	.	.	PUNCT
fbem-12038	2	1	11	11	NUM
fbem-12038	2	2	,	,	PUNCT
fbem-12038	2	3	no	no	INTJ
fbem-12038	2	4	.	.	NOUN
fbem-12038	2	5	1	1	NUM
fbem-12038	2	6	,	,	PUNCT
fbem-12038	2	7	2023	2023	NUM
fbem-12038	2	8	224	224	NUM
fbem-12038	2	9	research	research	NOUN
fbem-12038	2	10	on	on	ADP
fbem-12038	2	11	emotional	emotional	ADJ
fbem-12038	2	12	analysis	analysis	NOUN
fbem-12038	2	13	of	of	ADP
fbem-12038	2	14	online	online	ADJ
fbem-12038	2	15	book	book	NOUN
fbem-12038	2	16	reviews	review	NOUN
fbem-12038	2	17	based	base	VERB
fbem-12038	2	18	on	on	ADP
fbem-12038	2	19	word2vec	word2vec	X
fbem-12038	2	20	method	method	PROPN
fbem-12038	2	21	jingxiu	jingxiu	PROPN
fbem-12038	2	22	xu1	xu1	PROPN
fbem-12038	2	23	,	,	PUNCT
fbem-12038	2	24	*	*	PUNCT
fbem-12038	2	25	,	,	PUNCT
fbem-12038	2	26	albert	albert	PROPN
fbem-12038	2	27	a.	a.	PROPN
fbem-12038	2	28	vinluan2	vinluan2	PROPN
fbem-12038	2	29	1	1	NUM
fbem-12038	2	30	graduate	graduate	NOUN
fbem-12038	2	31	school	school	NOUN
fbem-12038	2	32	,	,	PUNCT
fbem-12038	2	33	angeles	angeles	PROPN
fbem-12038	2	34	university	university	PROPN
fbem-12038	2	35	foundation	foundation	PROPN
fbem-12038	2	36	,	,	PUNCT
fbem-12038	2	37	angeles	angeles	PROPN
fbem-12038	2	38	2009	2009	NUM
fbem-12038	2	39	,	,	PUNCT
fbem-12038	2	40	philippines	philippine	NOUN
fbem-12038	2	41	2	2	NUM
fbem-12038	2	42	graduate	graduate	NOUN
fbem-12038	2	43	school	school	NOUN
fbem-12038	2	44	,	,	PUNCT
fbem-12038	2	45	angeles	angeles	PROPN
fbem-12038	2	46	university	university	PROPN
fbem-12038	2	47	foundation	foundation	PROPN
fbem-12038	2	48	,	,	PUNCT
fbem-12038	2	49	isabela	isabela	PROPN
fbem-12038	2	50	state	state	PROPN
fbem-12038	2	51	university	university	NOUN
fbem-12038	2	52	-	-	PUNCT
fbem-12038	2	53	echague	echague	NOUN
fbem-12038	2	54	campus	campus	NOUN
fbem-12038	2	55	,	,	PUNCT
fbem-12038	2	56	angeles	angeles	PROPN
fbem-12038	2	57	2009	2009	NUM
fbem-12038	2	58	,	,	PUNCT
fbem-12038	2	59	philippines	philippine	NOUN
fbem-12038	2	60	*	*	PUNCT
fbem-12038	2	61	corresponding	correspond	VERB
fbem-12038	2	62	author	author	NOUN
fbem-12038	2	63	:	:	PUNCT
fbem-12038	3	1	jingxiu	jingxiu	PROPN
fbem-12038	3	2	xu	xu	PROPN
fbem-12038	3	3	(	(	PUNCT
fbem-12038	3	4	email	email	NOUN
fbem-12038	3	5	:	:	PUNCT
fbem-12038	3	6	xu.jingxiu@auf.edu.ph	xu.jingxiu@auf.edu.ph	NUM
fbem-12038	3	7	)	)	PUNCT
fbem-12038	3	8	abstract	abstract	NOUN
fbem-12038	3	9	:	:	PUNCT
fbem-12038	3	10	at	at	ADP
fbem-12038	3	11	present	present	ADJ
fbem-12038	3	12	,	,	PUNCT
fbem-12038	3	13	emotional	emotional	ADJ
fbem-12038	3	14	analysis	analysis	NOUN
fbem-12038	3	15	in	in	ADP
fbem-12038	3	16	the	the	DET
fbem-12038	3	17	field	field	NOUN
fbem-12038	3	18	of	of	ADP
fbem-12038	3	19	natural	natural	ADJ
fbem-12038	3	20	language	language	NOUN
fbem-12038	3	21	processing	processing	NOUN
fbem-12038	3	22	is	be	AUX
fbem-12038	3	23	gradually	gradually	ADV
fbem-12038	3	24	becoming	become	VERB
fbem-12038	3	25	a	a	DET
fbem-12038	3	26	popular	popular	ADJ
fbem-12038	3	27	research	research	NOUN
fbem-12038	3	28	direction	direction	NOUN
fbem-12038	3	29	on	on	ADP
fbem-12038	3	30	social	social	ADJ
fbem-12038	3	31	media	medium	NOUN
fbem-12038	3	32	.	.	PUNCT
fbem-12038	4	1	with	with	ADP
fbem-12038	4	2	the	the	DET
fbem-12038	4	3	rise	rise	NOUN
fbem-12038	4	4	of	of	ADP
fbem-12038	4	5	artificial	artificial	ADJ
fbem-12038	4	6	intelligence	intelligence	NOUN
fbem-12038	4	7	technology	technology	NOUN
fbem-12038	4	8	and	and	CCONJ
fbem-12038	4	9	deep	deep	ADJ
fbem-12038	4	10	learning	learning	NOUN
fbem-12038	4	11	algorithms	algorithm	NOUN
fbem-12038	4	12	,	,	PUNCT
fbem-12038	4	13	word	word	NOUN
fbem-12038	4	14	vector	vector	NOUN
fbem-12038	4	15	representation	representation	NOUN
fbem-12038	4	16	methods	method	NOUN
fbem-12038	4	17	based	base	VERB
fbem-12038	4	18	on	on	ADP
fbem-12038	4	19	neural	neural	ADJ
fbem-12038	4	20	networks	network	NOUN
fbem-12038	4	21	have	have	AUX
fbem-12038	4	22	emerged	emerge	VERB
fbem-12038	4	23	and	and	CCONJ
fbem-12038	4	24	emerged	emerge	VERB
fbem-12038	4	25	in	in	ADP
fbem-12038	4	26	the	the	DET
fbem-12038	4	27	field	field	NOUN
fbem-12038	4	28	of	of	ADP
fbem-12038	4	29	sentiment	sentiment	NOUN
fbem-12038	4	30	analysis	analysis	NOUN
fbem-12038	4	31	.	.	PUNCT
fbem-12038	5	1	according	accord	VERB
fbem-12038	5	2	to	to	ADP
fbem-12038	5	3	the	the	DET
fbem-12038	5	4	current	current	ADJ
fbem-12038	5	5	research	research	NOUN
fbem-12038	5	6	results	result	NOUN
fbem-12038	5	7	of	of	ADP
fbem-12038	5	8	experts	expert	NOUN
fbem-12038	5	9	,	,	PUNCT
fbem-12038	5	10	the	the	DET
fbem-12038	5	11	word2vec	word2vec	PROPN
fbem-12038	5	12	model	model	NOUN
fbem-12038	5	13	has	have	AUX
fbem-12038	5	14	become	become	VERB
fbem-12038	5	15	the	the	DET
fbem-12038	5	16	mainstream	mainstream	ADJ
fbem-12038	5	17	word	word	NOUN
fbem-12038	5	18	vector	vector	NOUN
fbem-12038	5	19	representation	representation	NOUN
fbem-12038	5	20	method	method	NOUN
fbem-12038	5	21	.	.	PUNCT
fbem-12038	6	1	the	the	DET
fbem-12038	6	2	algorithm	algorithm	NOUN
fbem-12038	6	3	model	model	NOUN
fbem-12038	6	4	is	be	AUX
fbem-12038	6	5	based	base	VERB
fbem-12038	6	6	on	on	ADP
fbem-12038	6	7	continuous	continuous	ADJ
fbem-12038	6	8	optimization	optimization	NOUN
fbem-12038	6	9	and	and	CCONJ
fbem-12038	6	10	iteration	iteration	NOUN
fbem-12038	6	11	of	of	ADP
fbem-12038	6	12	random	random	ADJ
fbem-12038	6	13	initialization	initialization	NOUN
fbem-12038	6	14	word	word	NOUN
fbem-12038	6	15	vectors	vector	NOUN
fbem-12038	6	16	,	,	PUNCT
fbem-12038	6	17	ultimately	ultimately	ADV
fbem-12038	6	18	obtaining	obtain	VERB
fbem-12038	6	19	a	a	DET
fbem-12038	6	20	stable	stable	ADJ
fbem-12038	6	21	performance	performance	NOUN
fbem-12038	6	22	word	word	NOUN
fbem-12038	6	23	vector	vector	NOUN
fbem-12038	6	24	representation	representation	NOUN
fbem-12038	6	25	.	.	PUNCT
fbem-12038	7	1	if	if	SCONJ
fbem-12038	7	2	the	the	DET
fbem-12038	7	3	research	research	NOUN
fbem-12038	7	4	goal	goal	NOUN
fbem-12038	7	5	is	be	AUX
fbem-12038	7	6	to	to	PART
fbem-12038	7	7	obtain	obtain	VERB
fbem-12038	7	8	sentence	sentence	NOUN
fbem-12038	7	9	vectors	vector	NOUN
fbem-12038	7	10	,	,	PUNCT
fbem-12038	7	11	weighting	weight	VERB
fbem-12038	7	12	processing	processing	NOUN
fbem-12038	7	13	is	be	AUX
fbem-12038	7	14	also	also	ADV
fbem-12038	7	15	required	require	VERB
fbem-12038	7	16	.	.	PUNCT
fbem-12038	8	1	therefore	therefore	ADV
fbem-12038	8	2	,	,	PUNCT
fbem-12038	8	3	after	after	ADP
fbem-12038	8	4	systematically	systematically	ADV
fbem-12038	8	5	summarizing	summarize	VERB
fbem-12038	8	6	and	and	CCONJ
fbem-12038	8	7	analyzing	analyze	VERB
fbem-12038	8	8	the	the	DET
fbem-12038	8	9	representation	representation	NOUN
fbem-12038	8	10	techniques	technique	NOUN
fbem-12038	8	11	of	of	ADP
fbem-12038	8	12	initialized	initialize	VERB
fbem-12038	8	13	word	word	NOUN
fbem-12038	8	14	vectors	vector	NOUN
fbem-12038	8	15	and	and	CCONJ
fbem-12038	8	16	solving	solve	VERB
fbem-12038	8	17	sentence	sentence	NOUN
fbem-12038	8	18	vectors	vector	NOUN
fbem-12038	8	19	through	through	ADP
fbem-12038	8	20	word	word	NOUN
fbem-12038	8	21	vector	vector	NOUN
fbem-12038	8	22	weighting	weighting	NOUN
fbem-12038	8	23	,	,	PUNCT
fbem-12038	8	24	this	this	DET
fbem-12038	8	25	article	article	NOUN
fbem-12038	8	26	proposes	propose	VERB
fbem-12038	8	27	corresponding	correspond	VERB
fbem-12038	8	28	improvement	improvement	NOUN
fbem-12038	8	29	methods	method	NOUN
fbem-12038	8	30	.	.	PUNCT
fbem-12038	9	1	this	this	DET
fbem-12038	9	2	article	article	NOUN
fbem-12038	9	3	improves	improve	VERB
fbem-12038	9	4	the	the	DET
fbem-12038	9	5	initialization	initialization	ADJ
fbem-12038	9	6	algorithm	algorithm	NOUN
fbem-12038	9	7	of	of	ADP
fbem-12038	9	8	its	its	PRON
fbem-12038	9	9	word	word	NOUN
fbem-12038	9	10	vector	vector	NOUN
fbem-12038	9	11	based	base	VERB
fbem-12038	9	12	on	on	ADP
fbem-12038	9	13	the	the	DET
fbem-12038	9	14	word2vec	word2vec	PROPN
fbem-12038	9	15	model	model	NOUN
fbem-12038	9	16	.	.	PUNCT
fbem-12038	10	1	on	on	ADP
fbem-12038	10	2	the	the	DET
fbem-12038	10	3	basis	basis	NOUN
fbem-12038	10	4	of	of	ADP
fbem-12038	10	5	the	the	DET
fbem-12038	10	6	original	original	ADJ
fbem-12038	10	7	randomly	randomly	ADV
fbem-12038	10	8	generated	generate	VERB
fbem-12038	10	9	word	word	NOUN
fbem-12038	10	10	vector	vector	NOUN
fbem-12038	10	11	,	,	PUNCT
fbem-12038	10	12	the	the	DET
fbem-12038	10	13	correlation	correlation	NOUN
fbem-12038	10	14	information	information	NOUN
fbem-12038	10	15	of	of	ADP
fbem-12038	10	16	words	word	NOUN
fbem-12038	10	17	is	be	AUX
fbem-12038	10	18	added	add	VERB
fbem-12038	10	19	to	to	PART
fbem-12038	10	20	change	change	VERB
fbem-12038	10	21	the	the	DET
fbem-12038	10	22	distribution	distribution	NOUN
fbem-12038	10	23	characteristics	characteristic	NOUN
fbem-12038	10	24	of	of	ADP
fbem-12038	10	25	the	the	DET
fbem-12038	10	26	initial	initial	ADJ
fbem-12038	10	27	word	word	NOUN
fbem-12038	10	28	vector	vector	NOUN
fbem-12038	10	29	,	,	PUNCT
fbem-12038	10	30	thereby	thereby	ADV
fbem-12038	10	31	enhancing	enhance	VERB
fbem-12038	10	32	the	the	DET
fbem-12038	10	33	performance	performance	NOUN
fbem-12038	10	34	of	of	ADP
fbem-12038	10	35	the	the	DET
fbem-12038	10	36	word	word	NOUN
fbem-12038	10	37	vector	vector	NOUN
fbem-12038	10	38	.	.	PUNCT
fbem-12038	11	1	in	in	ADP
fbem-12038	11	2	the	the	DET
fbem-12038	11	3	comparative	comparative	ADJ
fbem-12038	11	4	experiment	experiment	NOUN
fbem-12038	11	5	of	of	ADP
fbem-12038	11	6	the	the	DET
fbem-12038	11	7	user	user	NOUN
fbem-12038	11	8	comment	comment	NOUN
fbem-12038	11	9	dataset	dataset	PROPN
fbem-12038	11	10	,	,	PUNCT
fbem-12038	11	11	the	the	DET
fbem-12038	11	12	improved	improved	ADJ
fbem-12038	11	13	model	model	NOUN
fbem-12038	11	14	showed	show	VERB
fbem-12038	11	15	a	a	DET
fbem-12038	11	16	1	1	NUM
fbem-12038	11	17	%	%	NOUN
fbem-12038	11	18	to	to	PART
fbem-12038	11	19	3	3	NUM
fbem-12038	11	20	%	%	NOUN
fbem-12038	11	21	improvement	improvement	NOUN
fbem-12038	11	22	in	in	ADP
fbem-12038	11	23	sentiment	sentiment	NOUN
fbem-12038	11	24	polarity	polarity	NOUN
fbem-12038	11	25	classification	classification	NOUN
fbem-12038	11	26	accuracy	accuracy	NOUN
fbem-12038	11	27	compared	compare	VERB
fbem-12038	11	28	to	to	ADP
fbem-12038	11	29	the	the	DET
fbem-12038	11	30	other	other	ADJ
fbem-12038	11	31	model	model	NOUN
fbem-12038	11	32	.	.	PUNCT
fbem-12038	12	1	keywords	keyword	NOUN
fbem-12038	12	2	:	:	PUNCT
fbem-12038	12	3	enter	enter	VERB
fbem-12038	12	4	key	key	ADJ
fbem-12038	12	5	words	word	NOUN
fbem-12038	12	6	or	or	CCONJ
fbem-12038	12	7	phrases	phrase	NOUN
fbem-12038	12	8	in	in	ADP
fbem-12038	12	9	alphabetical	alphabetical	ADJ
fbem-12038	12	10	order	order	NOUN
fbem-12038	12	11	,	,	PUNCT
fbem-12038	12	12	separated	separate	VERB
fbem-12038	12	13	by	by	ADP
fbem-12038	12	14	commas	comma	NOUN
fbem-12038	12	15	.	.	PUNCT
fbem-12038	13	1	1	1	X
fbem-12038	13	2	.	.	X
fbem-12038	13	3	introduction	introduction	NOUN
fbem-12038	13	4	with	with	ADP
fbem-12038	13	5	the	the	DET
fbem-12038	13	6	widespread	widespread	ADJ
fbem-12038	13	7	use	use	NOUN
fbem-12038	13	8	of	of	ADP
fbem-12038	13	9	information	information	NOUN
fbem-12038	13	10	technology	technology	NOUN
fbem-12038	13	11	in	in	ADP
fbem-12038	13	12	recent	recent	ADJ
fbem-12038	13	13	years	year	NOUN
fbem-12038	13	14	,	,	PUNCT
fbem-12038	13	15	a	a	DET
fbem-12038	13	16	large	large	ADJ
fbem-12038	13	17	number	number	NOUN
fbem-12038	13	18	of	of	ADP
fbem-12038	13	19	comments	comment	NOUN
fbem-12038	13	20	and	and	CCONJ
fbem-12038	13	21	exchange	exchange	NOUN
fbem-12038	13	22	information	information	NOUN
fbem-12038	13	23	involving	involve	VERB
fbem-12038	13	24	users	user	NOUN
fbem-12038	13	25	have	have	AUX
fbem-12038	13	26	emerged	emerge	VERB
fbem-12038	13	27	on	on	ADP
fbem-12038	13	28	e	e	NOUN
fbem-12038	13	29	-	-	NOUN
fbem-12038	13	30	commerce	commerce	NOUN
fbem-12038	13	31	platforms	platform	NOUN
fbem-12038	13	32	.	.	PUNCT
fbem-12038	14	1	by	by	ADP
fbem-12038	14	2	browsing	browse	VERB
fbem-12038	14	3	this	this	DET
fbem-12038	14	4	information	information	NOUN
fbem-12038	14	5	,	,	PUNCT
fbem-12038	14	6	ordinary	ordinary	ADJ
fbem-12038	14	7	users	user	NOUN
fbem-12038	14	8	can	can	AUX
fbem-12038	14	9	browse	browse	VERB
fbem-12038	14	10	the	the	DET
fbem-12038	14	11	opinions	opinion	NOUN
fbem-12038	14	12	,	,	PUNCT
fbem-12038	14	13	emotional	emotional	ADJ
fbem-12038	14	14	attitudes	attitude	NOUN
fbem-12038	14	15	,	,	PUNCT
fbem-12038	14	16	and	and	CCONJ
fbem-12038	14	17	product	product	NOUN
fbem-12038	14	18	quality	quality	NOUN
fbem-12038	14	19	information	information	NOUN
fbem-12038	14	20	expressed	express	VERB
fbem-12038	14	21	by	by	ADP
fbem-12038	14	22	purchased	purchase	VERB
fbem-12038	14	23	users	user	NOUN
fbem-12038	14	24	at	at	ADP
fbem-12038	14	25	any	any	DET
fbem-12038	14	26	time	time	NOUN
fbem-12038	14	27	.	.	PUNCT
fbem-12038	15	1	with	with	ADP
fbem-12038	15	2	the	the	DET
fbem-12038	15	3	increase	increase	NOUN
fbem-12038	15	4	of	of	ADP
fbem-12038	15	5	comment	comment	NOUN
fbem-12038	15	6	users	user	NOUN
fbem-12038	15	7	,	,	PUNCT
fbem-12038	15	8	the	the	DET
fbem-12038	15	9	number	number	NOUN
fbem-12038	15	10	of	of	ADP
fbem-12038	15	11	comment	comment	NOUN
fbem-12038	15	12	information	information	NOUN
fbem-12038	15	13	at	at	ADP
fbem-12038	15	14	various	various	ADJ
fbem-12038	15	15	levels	level	NOUN
fbem-12038	15	16	has	have	AUX
fbem-12038	15	17	also	also	ADV
fbem-12038	15	18	rapidly	rapidly	ADV
fbem-12038	15	19	increased	increase	VERB
fbem-12038	15	20	.	.	PUNCT
fbem-12038	16	1	according	accord	VERB
fbem-12038	16	2	to	to	ADP
fbem-12038	16	3	calculations	calculation	NOUN
fbem-12038	16	4	by	by	ADP
fbem-12038	16	5	international	international	ADJ
fbem-12038	16	6	data	datum	NOUN
fbem-12038	16	7	corporation	corporation	NOUN
fbem-12038	16	8	,	,	PUNCT
fbem-12038	16	9	the	the	DET
fbem-12038	16	10	global	global	ADJ
fbem-12038	16	11	digital	digital	ADJ
fbem-12038	16	12	economy	economy	NOUN
fbem-12038	16	13	will	will	AUX
fbem-12038	16	14	continue	continue	VERB
fbem-12038	16	15	to	to	PART
fbem-12038	16	16	maintain	maintain	VERB
fbem-12038	16	17	rapid	rapid	ADJ
fbem-12038	16	18	growth	growth	NOUN
fbem-12038	16	19	in	in	ADP
fbem-12038	16	20	the	the	DET
fbem-12038	16	21	coming	coming	ADJ
fbem-12038	16	22	years	year	NOUN
fbem-12038	16	23	,	,	PUNCT
fbem-12038	16	24	and	and	CCONJ
fbem-12038	16	25	it	it	PRON
fbem-12038	16	26	is	be	AUX
fbem-12038	16	27	expected	expect	VERB
fbem-12038	16	28	that	that	SCONJ
fbem-12038	16	29	by	by	ADP
fbem-12038	16	30	2025	2025	NUM
fbem-12038	16	31	,	,	PUNCT
fbem-12038	16	32	over	over	ADP
fbem-12038	16	33	60	60	NUM
fbem-12038	16	34	%	%	NOUN
fbem-12038	16	35	of	of	ADP
fbem-12038	16	36	global	global	ADJ
fbem-12038	16	37	gdp	gdp	NOUN
fbem-12038	16	38	will	will	AUX
fbem-12038	16	39	be	be	AUX
fbem-12038	16	40	contributed	contribute	VERB
fbem-12038	16	41	by	by	ADP
fbem-12038	16	42	the	the	DET
fbem-12038	16	43	digital	digital	ADJ
fbem-12038	16	44	economy	economy	NOUN
fbem-12038	16	45	.	.	PUNCT
fbem-12038	17	1	this	this	PRON
fbem-12038	17	2	requires	require	VERB
fbem-12038	17	3	computers	computer	NOUN
fbem-12038	17	4	to	to	PART
fbem-12038	17	5	help	help	VERB
fbem-12038	17	6	users	user	NOUN
fbem-12038	17	7	quickly	quickly	ADV
fbem-12038	17	8	organize	organize	VERB
fbem-12038	17	9	and	and	CCONJ
fbem-12038	17	10	organize	organize	VERB
fbem-12038	17	11	relevant	relevant	ADJ
fbem-12038	17	12	information	information	NOUN
fbem-12038	17	13	.	.	PUNCT
fbem-12038	18	1	comment	comment	NOUN
fbem-12038	18	2	text	text	NOUN
fbem-12038	18	3	mining	mining	NOUN
fbem-12038	18	4	has	have	AUX
fbem-12038	18	5	emerged	emerge	VERB
fbem-12038	18	6	in	in	ADP
fbem-12038	18	7	multiple	multiple	ADJ
fbem-12038	18	8	research	research	NOUN
fbem-12038	18	9	directions	direction	NOUN
fbem-12038	18	10	,	,	PUNCT
fbem-12038	18	11	including	include	VERB
fbem-12038	18	12	information	information	NOUN
fbem-12038	18	13	filtering	filtering	NOUN
fbem-12038	18	14	,	,	PUNCT
fbem-12038	18	15	named	name	VERB
fbem-12038	18	16	entity	entity	NOUN
fbem-12038	18	17	annotation	annotation	NOUN
fbem-12038	18	18	,	,	PUNCT
fbem-12038	18	19	sentiment	sentiment	NOUN
fbem-12038	18	20	analysis	analysis	NOUN
fbem-12038	18	21	,	,	PUNCT
fbem-12038	18	22	text	text	NOUN
fbem-12038	18	23	classification	classification	NOUN
fbem-12038	18	24	,	,	PUNCT
fbem-12038	18	25	and	and	CCONJ
fbem-12038	18	26	text	text	NOUN
fbem-12038	18	27	clustering	clustering	NOUN
fbem-12038	18	28	.	.	PUNCT
fbem-12038	19	1	among	among	ADP
fbem-12038	19	2	them	they	PRON
fbem-12038	19	3	,	,	PUNCT
fbem-12038	19	4	sentiment	sentiment	NOUN
fbem-12038	19	5	analysis	analysis	NOUN
fbem-12038	19	6	technology	technology	NOUN
fbem-12038	19	7	has	have	AUX
fbem-12038	19	8	served	serve	VERB
fbem-12038	19	9	most	most	ADJ
fbem-12038	19	10	fields	field	NOUN
fbem-12038	19	11	and	and	CCONJ
fbem-12038	19	12	is	be	AUX
fbem-12038	19	13	committed	commit	VERB
fbem-12038	19	14	to	to	ADP
fbem-12038	19	15	discovering	discover	VERB
fbem-12038	19	16	valuable	valuable	ADJ
fbem-12038	19	17	information	information	NOUN
fbem-12038	19	18	with	with	ADP
fbem-12038	19	19	practical	practical	ADJ
fbem-12038	19	20	significance	significance	NOUN
fbem-12038	19	21	from	from	ADP
fbem-12038	19	22	text	text	NOUN
fbem-12038	19	23	information	information	NOUN
fbem-12038	19	24	,	,	PUNCT
fbem-12038	19	25	bringing	bring	VERB
fbem-12038	19	26	convenience	convenience	NOUN
fbem-12038	19	27	to	to	ADP
fbem-12038	19	28	people	people	NOUN
fbem-12038	19	29	's	's	PART
fbem-12038	19	30	lives	life	NOUN
fbem-12038	19	31	.	.	PUNCT
fbem-12038	20	1	2	2	X
fbem-12038	20	2	.	.	X
fbem-12038	20	3	research	research	NOUN
fbem-12038	20	4	methods	method	NOUN
fbem-12038	20	5	2.1	2.1	NUM
fbem-12038	20	6	.	.	PUNCT
fbem-12038	21	1	vectorized	vectorize	VERB
fbem-12038	21	2	representation	representation	NOUN
fbem-12038	21	3	of	of	ADP
fbem-12038	21	4	text	text	NOUN
fbem-12038	21	5	natural	natural	ADJ
fbem-12038	21	6	language	language	NOUN
fbem-12038	21	7	has	have	VERB
fbem-12038	21	8	certain	certain	ADJ
fbem-12038	21	9	grammatical	grammatical	ADJ
fbem-12038	21	10	and	and	CCONJ
fbem-12038	21	11	structural	structural	ADJ
fbem-12038	21	12	information	information	NOUN
fbem-12038	21	13	,	,	PUNCT
fbem-12038	21	14	composed	compose	VERB
fbem-12038	21	15	of	of	ADP
fbem-12038	21	16	words	word	NOUN
fbem-12038	21	17	,	,	PUNCT
fbem-12038	21	18	and	and	CCONJ
fbem-12038	21	19	is	be	AUX
fbem-12038	21	20	the	the	DET
fbem-12038	21	21	basic	basic	ADJ
fbem-12038	21	22	language	language	NOUN
fbem-12038	21	23	for	for	ADP
fbem-12038	21	24	human	human	ADJ
fbem-12038	21	25	communication	communication	NOUN
fbem-12038	21	26	and	and	CCONJ
fbem-12038	21	27	understanding	understanding	NOUN
fbem-12038	21	28	.	.	PUNCT
fbem-12038	22	1	in	in	ADP
fbem-12038	22	2	nlp	nlp	NOUN
fbem-12038	22	3	,	,	PUNCT
fbem-12038	22	4	computers	computer	NOUN
fbem-12038	22	5	can	can	AUX
fbem-12038	22	6	not	not	PART
fbem-12038	22	7	directly	directly	ADV
fbem-12038	22	8	recognize	recognize	VERB
fbem-12038	22	9	characters	character	NOUN
fbem-12038	22	10	such	such	ADJ
fbem-12038	22	11	as	as	ADP
fbem-12038	22	12	english	english	PROPN
fbem-12038	22	13	,	,	PUNCT
fbem-12038	22	14	so	so	SCONJ
fbem-12038	22	15	it	it	PRON
fbem-12038	22	16	is	be	AUX
fbem-12038	22	17	necessary	necessary	ADJ
fbem-12038	22	18	to	to	PART
fbem-12038	22	19	convert	convert	VERB
fbem-12038	22	20	text	text	NOUN
fbem-12038	22	21	characters	character	NOUN
fbem-12038	22	22	into	into	ADP
fbem-12038	22	23	word	word	NOUN
fbem-12038	22	24	vector	vector	NOUN
fbem-12038	22	25	forms	form	NOUN
fbem-12038	22	26	that	that	PRON
fbem-12038	22	27	computers	computer	NOUN
fbem-12038	22	28	can	can	AUX
fbem-12038	22	29	recognize	recognize	VERB
fbem-12038	22	30	,	,	PUNCT
fbem-12038	22	31	that	that	ADV
fbem-12038	22	32	is	be	AUX
fbem-12038	22	33	,	,	PUNCT
fbem-12038	22	34	digitization	digitization	NOUN
fbem-12038	22	35	.	.	PUNCT
fbem-12038	23	1	secondly	secondly	ADV
fbem-12038	23	2	,	,	PUNCT
fbem-12038	23	3	reflecting	reflect	VERB
fbem-12038	23	4	the	the	DET
fbem-12038	23	5	semantic	semantic	ADJ
fbem-12038	23	6	correlation	correlation	NOUN
fbem-12038	23	7	between	between	ADP
fbem-12038	23	8	words	word	NOUN
fbem-12038	23	9	through	through	ADP
fbem-12038	23	10	word	word	NOUN
fbem-12038	23	11	vectors	vector	NOUN
fbem-12038	23	12	is	be	AUX
fbem-12038	23	13	also	also	ADV
fbem-12038	23	14	a	a	DET
fbem-12038	23	15	difficulty	difficulty	NOUN
fbem-12038	23	16	in	in	ADP
fbem-12038	23	17	text	text	NOUN
fbem-12038	23	18	processing	processing	NOUN
fbem-12038	23	19	.	.	PUNCT
fbem-12038	24	1	this	this	DET
fbem-12038	24	2	chapter	chapter	NOUN
fbem-12038	24	3	introduces	introduce	VERB
fbem-12038	24	4	several	several	ADJ
fbem-12038	24	5	methods	method	NOUN
fbem-12038	24	6	for	for	ADP
fbem-12038	24	7	generating	generate	VERB
fbem-12038	24	8	word	word	NOUN
fbem-12038	24	9	vectors	vector	NOUN
fbem-12038	24	10	,	,	PUNCT
fbem-12038	24	11	and	and	CCONJ
fbem-12038	24	12	explains	explain	VERB
fbem-12038	24	13	the	the	DET
fbem-12038	24	14	principles	principle	NOUN
fbem-12038	24	15	and	and	CCONJ
fbem-12038	24	16	advantages	advantage	NOUN
fbem-12038	24	17	of	of	ADP
fbem-12038	24	18	these	these	DET
fbem-12038	24	19	techniques	technique	NOUN
fbem-12038	24	20	.	.	PUNCT
fbem-12038	25	1	2.2	2.2	NUM
fbem-12038	25	2	.	.	PUNCT
fbem-12038	26	1	one	one	NUM
fbem-12038	26	2	hot	hot	ADJ
fbem-12038	26	3	representation	representation	NOUN
fbem-12038	26	4	the	the	DET
fbem-12038	26	5	single	single	ADJ
fbem-12038	26	6	hot	hot	ADJ
fbem-12038	26	7	representation	representation	NOUN
fbem-12038	26	8	is	be	AUX
fbem-12038	26	9	the	the	DET
fbem-12038	26	10	simplest	simple	ADJ
fbem-12038	26	11	representation	representation	NOUN
fbem-12038	26	12	method	method	NOUN
fbem-12038	26	13	for	for	ADP
fbem-12038	26	14	word	word	NOUN
fbem-12038	26	15	vectors	vector	NOUN
fbem-12038	26	16	.	.	PUNCT
fbem-12038	27	1	each	each	DET
fbem-12038	27	2	word	word	NOUN
fbem-12038	27	3	in	in	ADP
fbem-12038	27	4	the	the	DET
fbem-12038	27	5	standard	standard	ADJ
fbem-12038	27	6	vocabulary	vocabulary	NOUN
fbem-12038	27	7	is	be	AUX
fbem-12038	27	8	numbered	number	VERB
fbem-12038	27	9	sequentially	sequentially	ADV
fbem-12038	27	10	,	,	PUNCT
fbem-12038	27	11	and	and	CCONJ
fbem-12038	27	12	the	the	DET
fbem-12038	27	13	number	number	NOUN
fbem-12038	27	14	of	of	ADP
fbem-12038	27	15	words	word	NOUN
fbem-12038	27	16	in	in	ADP
fbem-12038	27	17	the	the	DET
fbem-12038	27	18	vocabulary	vocabulary	NOUN
fbem-12038	27	19	is	be	AUX
fbem-12038	27	20	the	the	DET
fbem-12038	27	21	dimension	dimension	NOUN
fbem-12038	27	22	of	of	ADP
fbem-12038	27	23	the	the	DET
fbem-12038	27	24	word	word	NOUN
fbem-12038	27	25	vector	vector	NOUN
fbem-12038	27	26	.	.	PUNCT
fbem-12038	28	1	the	the	DET
fbem-12038	28	2	vector	vector	NOUN
fbem-12038	28	3	representation	representation	NOUN
fbem-12038	28	4	method	method	NOUN
fbem-12038	28	5	is	be	AUX
fbem-12038	28	6	:	:	PUNCT
fbem-12038	28	7	the	the	DET
fbem-12038	28	8	numerical	numerical	ADJ
fbem-12038	28	9	value	value	NOUN
fbem-12038	28	10	at	at	ADP
fbem-12038	28	11	the	the	DET
fbem-12038	28	12	corresponding	corresponding	ADJ
fbem-12038	28	13	position	position	NOUN
fbem-12038	28	14	is	be	AUX
fbem-12038	28	15	taken	take	VERB
fbem-12038	28	16	as	as	ADP
fbem-12038	28	17	1	1	NUM
fbem-12038	28	18	,	,	PUNCT
fbem-12038	28	19	and	and	CCONJ
fbem-12038	28	20	the	the	DET
fbem-12038	28	21	other	other	ADJ
fbem-12038	28	22	positions	position	NOUN
fbem-12038	28	23	are	be	AUX
fbem-12038	28	24	taken	take	VERB
fbem-12038	28	25	as	as	ADP
fbem-12038	28	26	0	0	NUM
fbem-12038	28	27	.	.	PUNCT
fbem-12038	29	1	assuming	assume	VERB
fbem-12038	29	2	the	the	DET
fbem-12038	29	3	length	length	NOUN
fbem-12038	29	4	of	of	ADP
fbem-12038	29	5	the	the	DET
fbem-12038	29	6	text	text	NOUN
fbem-12038	29	7	is	be	AUX
fbem-12038	29	8	n	n	CCONJ
fbem-12038	29	9	,	,	PUNCT
fbem-12038	29	10	that	that	ADV
fbem-12038	29	11	is	is	ADV
fbem-12038	29	12	,	,	PUNCT
fbem-12038	29	13	the	the	DET
fbem-12038	29	14	dimension	dimension	NOUN
fbem-12038	29	15	of	of	ADP
fbem-12038	29	16	the	the	DET
fbem-12038	29	17	word	word	NOUN
fbem-12038	29	18	vector	vector	NOUN
fbem-12038	29	19	is	be	AUX
fbem-12038	29	20	n	n	CCONJ
fbem-12038	29	21	,	,	PUNCT
fbem-12038	29	22	and	and	CCONJ
fbem-12038	29	23	the	the	DET
fbem-12038	29	24	position	position	NOUN
fbem-12038	29	25	index	index	NOUN
fbem-12038	29	26	of	of	ADP
fbem-12038	29	27	the	the	DET
fbem-12038	29	28	words	word	NOUN
fbem-12038	29	29	is	be	AUX
fbem-12038	29	30	stored	store	VERB
fbem-12038	29	31	as	as	ADP
fbem-12038	29	32	encoding	encoding	NOUN
fbem-12038	29	33	.	.	PUNCT
fbem-12038	30	1	the	the	DET
fbem-12038	30	2	vector	vector	NOUN
fbem-12038	30	3	of	of	ADP
fbem-12038	30	4	the	the	DET
fbem-12038	30	5	nth	nth	NOUN
fbem-12038	30	6	word	word	NOUN
fbem-12038	30	7	is	be	AUX
fbem-12038	30	8	represented	represent	VERB
fbem-12038	30	9	as	as	ADP
fbem-12038	30	10	[	[	X
fbem-12038	30	11	0,0,0	0,0,0	NOUN
fbem-12038	30	12	,	,	PUNCT
fbem-12038	30	13	...	...	PUNCT
fbem-12038	30	14	,	,	PUNCT
fbem-12038	30	15	1	1	X
fbem-12038	30	16	]	]	PUNCT
fbem-12038	30	17	,	,	PUNCT
fbem-12038	30	18	indicating	indicate	VERB
fbem-12038	30	19	that	that	SCONJ
fbem-12038	30	20	the	the	DET
fbem-12038	30	21	vector	vector	NOUN
fbem-12038	30	22	space	space	NOUN
fbem-12038	30	23	distance	distance	NOUN
fbem-12038	30	24	of	of	ADP
fbem-12038	30	25	each	each	DET
fbem-12038	30	26	two	two	NUM
fbem-12038	30	27	words	word	NOUN
fbem-12038	30	28	is	be	AUX
fbem-12038	30	29	equal	equal	ADJ
fbem-12038	30	30	.	.	PUNCT
fbem-12038	31	1	the	the	DET
fbem-12038	31	2	word	word	NOUN
fbem-12038	31	3	vector	vector	NOUN
fbem-12038	31	4	represented	represent	VERB
fbem-12038	31	5	by	by	ADP
fbem-12038	31	6	one	one	NUM
fbem-12038	31	7	hot	hot	ADJ
fbem-12038	31	8	is	be	AUX
fbem-12038	31	9	independent	independent	ADJ
fbem-12038	31	10	between	between	ADP
fbem-12038	31	11	words	word	NOUN
fbem-12038	31	12	,	,	PUNCT
fbem-12038	31	13	and	and	CCONJ
fbem-12038	31	14	the	the	DET
fbem-12038	31	15	grammatical	grammatical	ADJ
fbem-12038	31	16	and	and	CCONJ
fbem-12038	31	17	semantic	semantic	ADJ
fbem-12038	31	18	connections	connection	NOUN
fbem-12038	31	19	between	between	ADP
fbem-12038	31	20	words	word	NOUN
fbem-12038	31	21	can	can	AUX
fbem-12038	31	22	not	not	PART
fbem-12038	31	23	be	be	AUX
fbem-12038	31	24	seen	see	VERB
fbem-12038	31	25	solely	solely	ADV
fbem-12038	31	26	from	from	ADP
fbem-12038	31	27	the	the	DET
fbem-12038	31	28	two	two	NUM
fbem-12038	31	29	vectors	vector	NOUN
fbem-12038	31	30	.	.	PUNCT
fbem-12038	32	1	this	this	DET
fbem-12038	32	2	independence	independence	NOUN
fbem-12038	32	3	is	be	AUX
fbem-12038	32	4	not	not	PART
fbem-12038	32	5	suitable	suitable	ADJ
fbem-12038	32	6	for	for	ADP
fbem-12038	32	7	the	the	DET
fbem-12038	32	8	semantic	semantic	ADJ
fbem-12038	32	9	expression	expression	NOUN
fbem-12038	32	10	of	of	ADP
fbem-12038	32	11	sentences	sentence	NOUN
fbem-12038	32	12	.	.	PUNCT
fbem-12038	33	1	secondly	secondly	ADV
fbem-12038	33	2	,	,	PUNCT
fbem-12038	33	3	the	the	DET
fbem-12038	33	4	dimension	dimension	NOUN
fbem-12038	33	5	of	of	ADP
fbem-12038	33	6	the	the	DET
fbem-12038	33	7	word	word	NOUN
fbem-12038	33	8	vector	vector	NOUN
fbem-12038	33	9	will	will	AUX
fbem-12038	33	10	increase	increase	VERB
fbem-12038	33	11	with	with	ADP
fbem-12038	33	12	the	the	DET
fbem-12038	33	13	increase	increase	NOUN
fbem-12038	33	14	of	of	ADP
fbem-12038	33	15	the	the	DET
fbem-12038	33	16	vocabulary	vocabulary	ADJ
fbem-12038	33	17	size	size	NOUN
fbem-12038	33	18	,	,	PUNCT
fbem-12038	33	19	causing	cause	VERB
fbem-12038	33	20	a	a	DET
fbem-12038	33	21	dimension	dimension	NOUN
fbem-12038	33	22	explosion	explosion	NOUN
fbem-12038	33	23	,	,	PUNCT
fbem-12038	33	24	which	which	PRON
fbem-12038	33	25	not	not	PART
fbem-12038	33	26	only	only	ADV
fbem-12038	33	27	results	result	NOUN
fbem-12038	33	28	in	in	ADP
fbem-12038	33	29	sparse	sparse	ADJ
fbem-12038	33	30	numerical	numerical	ADJ
fbem-12038	33	31	dispersion	dispersion	NOUN
fbem-12038	33	32	,	,	PUNCT
fbem-12038	33	33	but	but	CCONJ
fbem-12038	33	34	also	also	ADV
fbem-12038	33	35	greatly	greatly	ADV
fbem-12038	33	36	consumes	consume	VERB
fbem-12038	33	37	computational	computational	ADJ
fbem-12038	33	38	resources	resource	NOUN
fbem-12038	33	39	.	.	PUNCT
fbem-12038	34	1	one	one	NUM
fbem-12038	34	2	hot	hot	ADJ
fbem-12038	34	3	indicates	indicate	VERB
fbem-12038	34	4	that	that	SCONJ
fbem-12038	34	5	it	it	PRON
fbem-12038	34	6	clearly	clearly	ADV
fbem-12038	34	7	does	do	AUX
fbem-12038	34	8	not	not	PART
fbem-12038	34	9	meet	meet	VERB
fbem-12038	34	10	the	the	DET
fbem-12038	34	11	needs	need	NOUN
fbem-12038	34	12	of	of	ADP
fbem-12038	34	13	large	large	ADJ
fbem-12038	34	14	-	-	PUNCT
fbem-12038	34	15	scale	scale	NOUN
fbem-12038	34	16	corpus	corpus	NOUN
fbem-12038	34	17	.	.	PUNCT
fbem-12038	35	1	2.3	2.3	NUM
fbem-12038	35	2	.	.	PUNCT
fbem-12038	35	3	cbow	cbow	VERB
fbem-12038	35	4	model	model	NOUN
fbem-12038	35	5	use	use	PROPN
fbem-12038	35	6	𝐶	𝐶	PROPN
fbem-12038	35	7	,	,	PUNCT
fbem-12038	35	8	𝐶	𝐶	PROPN
fbem-12038	35	9	,	,	PUNCT
fbem-12038	35	10	…	…	PUNCT
fbem-12038	35	11	,	,	PUNCT
fbem-12038	35	12	𝐶	𝐶	PROPN
fbem-12038	35	13	to	to	PART
fbem-12038	35	14	represent	represent	VERB
fbem-12038	35	15	k	k	PROPN
fbem-12038	35	16	observation	observation	NOUN
fbem-12038	35	17	attributes	attribute	NOUN
fbem-12038	35	18	,	,	PUNCT
fbem-12038	35	19	the	the	DET
fbem-12038	35	20	sample	sample	NOUN
fbem-12038	35	21	to	to	PART
fbem-12038	35	22	be	be	AUX
fbem-12038	35	23	tested	test	VERB
fbem-12038	35	24	is	be	AUX
fbem-12038	35	25	represented	represent	VERB
fbem-12038	35	26	by	by	ADP
fbem-12038	35	27	𝑦	𝑦	PROPN
fbem-12038	35	28	𝑚	𝑚	PROPN
fbem-12038	35	29	,	,	PUNCT
fbem-12038	35	30	𝑚	𝑚	X
fbem-12038	35	31	,	,	PUNCT
fbem-12038	35	32	…	…	PUNCT
fbem-12038	35	33	,	,	PUNCT
fbem-12038	35	34	𝑚	𝑚	X
fbem-12038	35	35	,	,	PUNCT
fbem-12038	35	36	and	and	CCONJ
fbem-12038	35	37	the	the	DET
fbem-12038	35	38	category	category	NOUN
fbem-12038	35	39	set	set	NOUN
fbem-12038	35	40	is	be	AUX
fbem-12038	35	41	represented	represent	VERB
fbem-12038	35	42	by	by	ADP
fbem-12038	35	43	𝐵	𝐵	PROPN
fbem-12038	35	44	𝑏	𝑏	PROPN
fbem-12038	35	45	,	,	PUNCT
fbem-12038	35	46	𝑏	𝑏	PROPN
fbem-12038	35	47	,	,	PUNCT
fbem-12038	35	48	…	…	PUNCT
fbem-12038	35	49	,	,	PUNCT
fbem-12038	36	1	𝑏	𝑏	NOUN
fbem-12038	36	2	.	.	PUNCT
fbem-12038	37	1	the	the	DET
fbem-12038	37	2	idea	idea	NOUN
fbem-12038	37	3	of	of	ADP
fbem-12038	37	4	cbow	cbow	PROPN
fbem-12038	37	5	model	model	NOUN
fbem-12038	37	6	is	be	AUX
fbem-12038	37	7	to	to	PART
fbem-12038	37	8	optimize	optimize	VERB
fbem-12038	37	9	the	the	DET
fbem-12038	37	10	probability	probability	NOUN
fbem-12038	37	11	of	of	ADP
fbem-12038	37	12	the	the	DET
fbem-12038	37	13	target	target	NOUN
fbem-12038	37	14	word	word	NOUN
fbem-12038	37	15	.	.	PUNCT
fbem-12038	38	1	in	in	ADP
fbem-12038	38	2	the	the	DET
fbem-12038	38	3	design	design	NOUN
fbem-12038	38	4	of	of	ADP
fbem-12038	38	5	network	network	NOUN
fbem-12038	38	6	structure	structure	NOUN
fbem-12038	38	7	,	,	PUNCT
fbem-12038	38	8	a	a	DET
fbem-12038	38	9	three	three	NUM
fbem-12038	38	10	225	225	NUM
fbem-12038	38	11	layer	layer	NOUN
fbem-12038	38	12	neural	neural	ADJ
fbem-12038	38	13	network	network	NOUN
fbem-12038	38	14	model	model	NOUN
fbem-12038	38	15	consisting	consist	VERB
fbem-12038	38	16	of	of	ADP
fbem-12038	38	17	input	input	NOUN
fbem-12038	38	18	layer	layer	NOUN
fbem-12038	38	19	,	,	PUNCT
fbem-12038	38	20	hidden	hide	VERB
fbem-12038	38	21	layer	layer	NOUN
fbem-12038	38	22	,	,	PUNCT
fbem-12038	38	23	and	and	CCONJ
fbem-12038	38	24	output	output	NOUN
fbem-12038	38	25	layer	layer	NOUN
fbem-12038	38	26	is	be	AUX
fbem-12038	38	27	used	use	VERB
fbem-12038	38	28	to	to	PART
fbem-12038	38	29	infer	infer	VERB
fbem-12038	38	30	the	the	DET
fbem-12038	38	31	probability	probability	NOUN
fbem-12038	38	32	of	of	ADP
fbem-12038	38	33	the	the	DET
fbem-12038	38	34	occurrence	occurrence	NOUN
fbem-12038	38	35	of	of	ADP
fbem-12038	38	36	intermediate	intermediate	ADJ
fbem-12038	38	37	words	word	NOUN
fbem-12038	38	38	based	base	VERB
fbem-12038	38	39	on	on	ADP
fbem-12038	38	40	context	context	NOUN
fbem-12038	38	41	,	,	PUNCT
fbem-12038	38	42	that	that	ADV
fbem-12038	38	43	is	is	ADV
fbem-12038	38	44	,	,	PUNCT
fbem-12038	38	45	𝑃	𝑃	PROPN
fbem-12038	38	46	𝑚	𝑚	NOUN
fbem-12038	38	47	|	|	ADV
fbem-12038	38	48	𝑡𝑒𝑥𝑡	𝑡𝑒𝑥𝑡	NOUN
fbem-12038	38	49	𝑚	𝑚	NOUN
fbem-12038	38	50	.	.	PUNCT
fbem-12038	39	1	assuming	assume	VERB
fbem-12038	39	2	that	that	SCONJ
fbem-12038	39	3	the	the	DET
fbem-12038	39	4	context	context	NOUN
fbem-12038	39	5	consists	consist	VERB
fbem-12038	39	6	of	of	ADP
fbem-12038	39	7	k	k	PROPN
fbem-12038	39	8	words	word	NOUN
fbem-12038	39	9	m	m	VERB
fbem-12038	39	10	and	and	CCONJ
fbem-12038	39	11	the	the	DET
fbem-12038	39	12	intermediate	intermediate	ADJ
fbem-12038	39	13	word	word	NOUN
fbem-12038	39	14	is	be	AUX
fbem-12038	39	15	𝑚	𝑚	PROPN
fbem-12038	39	16	,	,	PUNCT
fbem-12038	39	17	the	the	DET
fbem-12038	39	18	cbow	cbow	NOUN
fbem-12038	39	19	model	model	NOUN
fbem-12038	39	20	predicts	predict	VERB
fbem-12038	39	21	the	the	DET
fbem-12038	39	22	probability	probability	NOUN
fbem-12038	39	23	of	of	ADP
fbem-12038	39	24	𝑚	𝑚	NOUN
fbem-12038	39	25	using	use	VERB
fbem-12038	39	26	2k	2k	NUM
fbem-12038	39	27	words	word	NOUN
fbem-12038	39	28	in	in	ADP
fbem-12038	39	29	the	the	DET
fbem-12038	39	30	context	context	NOUN
fbem-12038	39	31	.	.	PUNCT
fbem-12038	40	1	among	among	ADP
fbem-12038	40	2	them	they	PRON
fbem-12038	40	3	,	,	PUNCT
fbem-12038	40	4	the	the	DET
fbem-12038	40	5	input	input	NOUN
fbem-12038	40	6	layer	layer	NOUN
fbem-12038	40	7	is	be	AUX
fbem-12038	40	8	not	not	PART
fbem-12038	40	9	a	a	DET
fbem-12038	40	10	concatenation	concatenation	NOUN
fbem-12038	40	11	of	of	ADP
fbem-12038	40	12	contextual	contextual	ADJ
fbem-12038	40	13	words	word	NOUN
fbem-12038	40	14	,	,	PUNCT
fbem-12038	40	15	ignoring	ignore	VERB
fbem-12038	40	16	word	word	NOUN
fbem-12038	40	17	order	order	NOUN
fbem-12038	40	18	information	information	NOUN
fbem-12038	40	19	and	and	CCONJ
fbem-12038	40	20	using	use	VERB
fbem-12038	40	21	the	the	DET
fbem-12038	40	22	average	average	NOUN
fbem-12038	40	23	of	of	ADP
fbem-12038	40	24	all	all	DET
fbem-12038	40	25	word	word	NOUN
fbem-12038	40	26	vectors	vector	NOUN
fbem-12038	40	27	,	,	PUNCT
fbem-12038	40	28	ignoring	ignore	VERB
fbem-12038	40	29	the	the	DET
fbem-12038	40	30	hidden	hidden	ADJ
fbem-12038	40	31	layer	layer	NOUN
fbem-12038	40	32	.	.	PUNCT
fbem-12038	41	1	the	the	DET
fbem-12038	41	2	input	input	NOUN
fbem-12038	41	3	layer	layer	NOUN
fbem-12038	41	4	is	be	AUX
fbem-12038	41	5	directly	directly	ADV
fbem-12038	41	6	connected	connect	VERB
fbem-12038	41	7	to	to	ADP
fbem-12038	41	8	the	the	DET
fbem-12038	41	9	output	output	NOUN
fbem-12038	41	10	layer	layer	NOUN
fbem-12038	41	11	,	,	PUNCT
fbem-12038	41	12	adding	add	VERB
fbem-12038	41	13	the	the	DET
fbem-12038	41	14	sum	sum	NOUN
fbem-12038	41	15	of	of	ADP
fbem-12038	41	16	the	the	DET
fbem-12038	41	17	input	input	NOUN
fbem-12038	41	18	word	word	NOUN
fbem-12038	41	19	vectors	vector	NOUN
fbem-12038	41	20	in	in	ADP
fbem-12038	41	21	the	the	DET
fbem-12038	41	22	projection	projection	NOUN
fbem-12038	41	23	layer	layer	NOUN
fbem-12038	41	24	,	,	PUNCT
fbem-12038	41	25	and	and	CCONJ
fbem-12038	41	26	using	use	VERB
fbem-12038	41	27	contextual	contextual	ADJ
fbem-12038	41	28	words	word	NOUN
fbem-12038	41	29	to	to	PART
fbem-12038	41	30	predict	predict	VERB
fbem-12038	41	31	the	the	DET
fbem-12038	41	32	central	central	ADJ
fbem-12038	41	33	word	word	NOUN
fbem-12038	41	34	(	(	PUNCT
fbem-12038	41	35	gao	gao	PROPN
fbem-12038	41	36	,	,	PUNCT
fbem-12038	41	37	2021	2021	NUM
fbem-12038	41	38	;	;	PUNCT
fbem-12038	41	39	hou	hou	PROPN
fbem-12038	41	40	et	et	PROPN
fbem-12038	41	41	al	al	PROPN
fbem-12038	41	42	.	.	PROPN
fbem-12038	41	43	,	,	PUNCT
fbem-12038	41	44	2021	2021	NUM
fbem-12038	41	45	)	)	PUNCT
fbem-12038	41	46	.	.	PUNCT
fbem-12038	42	1	in	in	ADP
fbem-12038	42	2	the	the	DET
fbem-12038	42	3	cbow	cbow	PROPN
fbem-12038	42	4	model	model	NOUN
fbem-12038	42	5	,	,	PUNCT
fbem-12038	42	6	the	the	DET
fbem-12038	42	7	word	word	NOUN
fbem-12038	42	8	vector	vector	NOUN
fbem-12038	42	9	l	l	NOUN
fbem-12038	42	10	is	be	AUX
fbem-12038	42	11	the	the	DET
fbem-12038	42	12	only	only	ADJ
fbem-12038	42	13	neural	neural	ADJ
fbem-12038	42	14	network	network	NOUN
fbem-12038	42	15	parameter	parameter	NOUN
fbem-12038	42	16	(	(	PUNCT
fbem-12038	42	17	xie	xie	PROPN
fbem-12038	42	18	,	,	PUNCT
fbem-12038	42	19	2020	2020	NUM
fbem-12038	42	20	;	;	PUNCT
fbem-12038	42	21	li	li	PROPN
fbem-12038	42	22	et	et	PROPN
fbem-12038	42	23	al	al	PROPN
fbem-12038	42	24	.	.	PROPN
fbem-12038	42	25	,	,	PUNCT
fbem-12038	42	26	2020	2020	NUM
fbem-12038	42	27	;	;	PUNCT
fbem-12038	42	28	li	li	PROPN
fbem-12038	42	29	&	&	CCONJ
fbem-12038	42	30	xiong	xiong	PROPN
fbem-12038	42	31	,	,	PUNCT
fbem-12038	42	32	2017	2017	NUM
fbem-12038	42	33	;	;	PUNCT
fbem-12038	42	34	cuevas	cuevas	PROPN
fbem-12038	42	35	molano	molano	PROPN
fbem-12038	42	36	et	et	PROPN
fbem-12038	42	37	al	al	PROPN
fbem-12038	42	38	.	.	PROPN
fbem-12038	42	39	,	,	PUNCT
fbem-12038	42	40	2021	2021	NUM
fbem-12038	42	41	)	)	PUNCT
fbem-12038	42	42	to	to	PART
fbem-12038	42	43	maximize	maximize	VERB
fbem-12038	42	44	the	the	DET
fbem-12038	42	45	logarithmic	logarithmic	ADJ
fbem-12038	42	46	likelihood	likelihood	NOUN
fbem-12038	42	47	of	of	ADP
fbem-12038	42	48	all	all	DET
fbem-12038	42	49	words	word	NOUN
fbem-12038	42	50	as	as	SCONJ
fbem-12038	42	51	shown	show	VERB
fbem-12038	42	52	in	in	ADP
fbem-12038	42	53	the	the	DET
fbem-12038	42	54	formula	formula	NOUN
fbem-12038	42	55	:	:	PUNCT
fbem-12038	42	56	2.4	2.4	NUM
fbem-12038	42	57	.	.	PUNCT
fbem-12038	43	1	skip	skip	VERB
fbem-12038	43	2	gram	gram	NOUN
fbem-12038	43	3	model	model	NOUN
fbem-12038	43	4	the	the	DET
fbem-12038	43	5	skip	skip	ADJ
fbem-12038	43	6	gram	gram	NOUN
fbem-12038	43	7	word	word	NOUN
fbem-12038	43	8	vector	vector	NOUN
fbem-12038	43	9	model	model	NOUN
fbem-12038	43	10	is	be	AUX
fbem-12038	43	11	similar	similar	ADJ
fbem-12038	43	12	to	to	ADP
fbem-12038	43	13	the	the	DET
fbem-12038	43	14	cbow	cbow	NOUN
fbem-12038	43	15	word	word	NOUN
fbem-12038	43	16	vector	vector	NOUN
fbem-12038	43	17	model	model	NOUN
fbem-12038	43	18	and	and	CCONJ
fbem-12038	43	19	an	an	DET
fbem-12038	43	20	improved	improved	ADJ
fbem-12038	43	21	neural	neural	ADJ
fbem-12038	43	22	network	network	NOUN
fbem-12038	43	23	model	model	NOUN
fbem-12038	43	24	.	.	PUNCT
fbem-12038	44	1	however	however	ADV
fbem-12038	44	2	,	,	PUNCT
fbem-12038	44	3	the	the	DET
fbem-12038	44	4	skip	skip	ADJ
fbem-12038	44	5	gram	gram	NOUN
fbem-12038	44	6	model	model	NOUN
fbem-12038	44	7	adopts	adopt	VERB
fbem-12038	44	8	the	the	DET
fbem-12038	44	9	opposite	opposite	ADJ
fbem-12038	44	10	network	network	NOUN
fbem-12038	44	11	structure	structure	NOUN
fbem-12038	44	12	design	design	NOUN
fbem-12038	44	13	method	method	NOUN
fbem-12038	44	14	,	,	PUNCT
fbem-12038	44	15	which	which	PRON
fbem-12038	44	16	infers	infer	VERB
fbem-12038	44	17	the	the	DET
fbem-12038	44	18	probability	probability	NOUN
fbem-12038	44	19	of	of	ADP
fbem-12038	44	20	words	word	NOUN
fbem-12038	44	21	in	in	ADP
fbem-12038	44	22	the	the	DET
fbem-12038	44	23	context	context	NOUN
fbem-12038	44	24	of	of	ADP
fbem-12038	44	25	the	the	DET
fbem-12038	44	26	word	word	NOUN
fbem-12038	44	27	based	base	VERB
fbem-12038	44	28	on	on	ADP
fbem-12038	44	29	the	the	DET
fbem-12038	44	30	current	current	ADJ
fbem-12038	44	31	central	central	ADJ
fbem-12038	44	32	word	word	NOUN
fbem-12038	44	33	.	.	PUNCT
fbem-12038	45	1	it	it	PRON
fbem-12038	45	2	allows	allow	VERB
fbem-12038	45	3	certain	certain	ADJ
fbem-12038	45	4	words	word	NOUN
fbem-12038	45	5	to	to	PART
fbem-12038	45	6	be	be	AUX
fbem-12038	45	7	"	"	PUNCT
fbem-12038	45	8	skipped	skip	VERB
fbem-12038	45	9	"	"	PUNCT
fbem-12038	45	10	,	,	PUNCT
fbem-12038	45	11	unlike	unlike	ADP
fbem-12038	45	12	the	the	DET
fbem-12038	45	13	cbow	cbow	NOUN
fbem-12038	45	14	word	word	NOUN
fbem-12038	45	15	vector	vector	NOUN
fbem-12038	45	16	model	model	NOUN
fbem-12038	45	17	,	,	PUNCT
fbem-12038	45	18	which	which	PRON
fbem-12038	45	19	must	must	AUX
fbem-12038	45	20	be	be	AUX
fbem-12038	45	21	done	do	VERB
fbem-12038	45	22	in	in	ADP
fbem-12038	45	23	order	order	NOUN
fbem-12038	45	24	,	,	PUNCT
fbem-12038	45	25	making	make	VERB
fbem-12038	45	26	it	it	PRON
fbem-12038	45	27	more	more	ADV
fbem-12038	45	28	flexible	flexible	ADJ
fbem-12038	45	29	,	,	PUNCT
fbem-12038	45	30	compared	compare	VERB
fbem-12038	45	31	with	with	ADP
fbem-12038	45	32	the	the	DET
fbem-12038	45	33	cbow	cbow	NOUN
fbem-12038	45	34	word	word	NOUN
fbem-12038	45	35	vector	vector	NOUN
fbem-12038	45	36	model	model	NOUN
fbem-12038	45	37	,	,	PUNCT
fbem-12038	45	38	skip	skip	VERB
fbem-12038	45	39	gram	gram	NOUN
fbem-12038	45	40	also	also	ADV
fbem-12038	45	41	has	have	VERB
fbem-12038	45	42	better	well	ADJ
fbem-12038	45	43	robustness	robustness	NOUN
fbem-12038	45	44	.	.	PUNCT
fbem-12038	46	1	assuming	assume	VERB
fbem-12038	46	2	the	the	DET
fbem-12038	46	3	current	current	ADJ
fbem-12038	46	4	word	word	NOUN
fbem-12038	46	5	is	be	AUX
fbem-12038	46	6	𝑚	𝑚	NOUN
fbem-12038	46	7	.	.	PUNCT
fbem-12038	47	1	the	the	DET
fbem-12038	47	2	word	word	NOUN
fbem-12038	47	3	set	set	VERB
fbem-12038	47	4	containing	contain	VERB
fbem-12038	47	5	2k	2k	NUM
fbem-12038	47	6	words	word	NOUN
fbem-12038	47	7	in	in	ADP
fbem-12038	47	8	the	the	DET
fbem-12038	47	9	context	context	NOUN
fbem-12038	47	10	is	be	AUX
fbem-12038	47	11	composed	compose	VERB
fbem-12038	47	12	of	of	ADP
fbem-12038	47	13	𝑚	𝑚	PROPN
fbem-12038	47	14	,	,	PUNCT
fbem-12038	47	15	𝑚	𝑚	X
fbem-12038	47	16	,	,	PUNCT
fbem-12038	47	17	…	…	PUNCT
fbem-12038	47	18	,	,	PUNCT
fbem-12038	47	19	𝑚	𝑚	X
fbem-12038	47	20	,	,	PUNCT
fbem-12038	47	21	and	and	CCONJ
fbem-12038	47	22	the	the	DET
fbem-12038	47	23	intermediate	intermediate	ADJ
fbem-12038	47	24	word	word	NOUN
fbem-12038	47	25	used	use	VERB
fbem-12038	47	26	in	in	ADP
fbem-12038	47	27	the	the	DET
fbem-12038	47	28	skip	skip	ADJ
fbem-12038	47	29	gram	gram	NOUN
fbem-12038	47	30	model	model	NOUN
fbem-12038	47	31	is	be	AUX
fbem-12038	47	32	𝑚	𝑚	NOUN
fbem-12038	47	33	,	,	PUNCT
fbem-12038	47	34	which	which	PRON
fbem-12038	47	35	can	can	AUX
fbem-12038	47	36	deduce	deduce	VERB
fbem-12038	47	37	the	the	DET
fbem-12038	47	38	probability	probability	NOUN
fbem-12038	47	39	of	of	ADP
fbem-12038	47	40	a	a	DET
fbem-12038	47	41	certain	certain	ADJ
fbem-12038	47	42	word	word	NOUN
fbem-12038	47	43	in	in	ADP
fbem-12038	47	44	the	the	DET
fbem-12038	47	45	context	context	NOUN
fbem-12038	47	46	in	in	ADP
fbem-12038	47	47	the	the	DET
fbem-12038	47	48	word	word	NOUN
fbem-12038	47	49	set	set	VERB
fbem-12038	47	50	𝑚	𝑚	PROPN
fbem-12038	47	51	,	,	PUNCT
fbem-12038	47	52	𝑚	𝑚	X
fbem-12038	47	53	,	,	PUNCT
fbem-12038	47	54	…	…	PUNCT
fbem-12038	47	55	,	,	PUNCT
fbem-12038	47	56	𝑚	𝑚	X
fbem-12038	47	57	,	,	PUNCT
fbem-12038	47	58	which	which	PRON
fbem-12038	47	59	is	be	AUX
fbem-12038	47	60	𝑃	𝑃	NOUN
fbem-12038	47	61	𝑡𝑒𝑥𝑡	𝑡𝑒𝑥𝑡	NOUN
fbem-12038	47	62	𝑚	𝑚	NOUN
fbem-12038	47	63	|	|	ADV
fbem-12038	47	64	𝑚	𝑚	X
fbem-12038	47	65	.	.	PUNCT
fbem-12038	48	1	the	the	DET
fbem-12038	48	2	final	final	ADJ
fbem-12038	48	3	maximum	maximum	ADJ
fbem-12038	48	4	logarithmic	logarithmic	ADJ
fbem-12038	48	5	likelihood	likelihood	NOUN
fbem-12038	48	6	of	of	ADP
fbem-12038	48	7	all	all	DET
fbem-12038	48	8	contextual	contextual	ADJ
fbem-12038	48	9	words	word	NOUN
fbem-12038	48	10	is	be	AUX
fbem-12038	48	11	shown	show	VERB
fbem-12038	48	12	in	in	ADP
fbem-12038	48	13	the	the	DET
fbem-12038	48	14	formula	formula	NOUN
fbem-12038	48	15	:	:	PUNCT
fbem-12038	48	16	2.5	2.5	NUM
fbem-12038	48	17	.	.	PUNCT
fbem-12038	49	1	word2vec	word2vec	PROPN
fbem-12038	49	2	model	model	PROPN
fbem-12038	49	3	word2vec	word2vec	PROPN
fbem-12038	49	4	is	be	AUX
fbem-12038	49	5	an	an	DET
fbem-12038	49	6	open	open	ADJ
fbem-12038	49	7	source	source	NOUN
fbem-12038	49	8	word	word	NOUN
fbem-12038	49	9	vector	vector	NOUN
fbem-12038	49	10	modeling	modeling	NOUN
fbem-12038	49	11	tool	tool	NOUN
fbem-12038	49	12	released	release	VERB
fbem-12038	49	13	by	by	ADP
fbem-12038	49	14	google	google	PROPN
fbem-12038	49	15	in	in	ADP
fbem-12038	49	16	2013	2013	NUM
fbem-12038	49	17	.	.	PUNCT
fbem-12038	50	1	the	the	DET
fbem-12038	50	2	one	one	NUM
fbem-12038	50	3	hot	hot	ADJ
fbem-12038	50	4	representation	representation	NOUN
fbem-12038	50	5	of	of	ADP
fbem-12038	50	6	words	word	NOUN
fbem-12038	50	7	is	be	AUX
fbem-12038	50	8	represented	represent	VERB
fbem-12038	50	9	by	by	ADP
fbem-12038	50	10	a	a	DET
fbem-12038	50	11	mapping	mapping	NOUN
fbem-12038	50	12	matrix	matrix	NOUN
fbem-12038	50	13	as	as	ADP
fbem-12038	50	14	a	a	DET
fbem-12038	50	15	low	low	ADJ
fbem-12038	50	16	dimensional	dimensional	ADJ
fbem-12038	50	17	dense	dense	ADJ
fbem-12038	50	18	vector	vector	NOUN
fbem-12038	50	19	,	,	PUNCT
fbem-12038	50	20	which	which	PRON
fbem-12038	50	21	is	be	AUX
fbem-12038	50	22	then	then	ADV
fbem-12038	50	23	used	use	VERB
fbem-12038	50	24	as	as	ADP
fbem-12038	50	25	input	input	NOUN
fbem-12038	50	26	to	to	ADP
fbem-12038	50	27	the	the	DET
fbem-12038	50	28	language	language	NOUN
fbem-12038	50	29	model	model	NOUN
fbem-12038	50	30	.	.	PUNCT
fbem-12038	51	1	finally	finally	ADV
fbem-12038	51	2	,	,	PUNCT
fbem-12038	51	3	the	the	DET
fbem-12038	51	4	optimal	optimal	ADJ
fbem-12038	51	5	network	network	NOUN
fbem-12038	51	6	parameters	parameter	NOUN
fbem-12038	51	7	are	be	AUX
fbem-12038	51	8	obtained	obtain	VERB
fbem-12038	51	9	through	through	ADP
fbem-12038	51	10	training	training	NOUN
fbem-12038	51	11	.	.	PUNCT
fbem-12038	52	1	word2vec	word2vec	X
fbem-12038	52	2	and	and	CCONJ
fbem-12038	52	3	other	other	ADJ
fbem-12038	52	4	word	word	NOUN
fbem-12038	52	5	vector	vector	NOUN
fbem-12038	52	6	models	model	NOUN
fbem-12038	52	7	are	be	AUX
fbem-12038	52	8	based	base	VERB
fbem-12038	52	9	on	on	ADP
fbem-12038	52	10	the	the	DET
fbem-12038	52	11	same	same	ADJ
fbem-12038	52	12	assumption	assumption	NOUN
fbem-12038	52	13	:	:	PUNCT
fbem-12038	52	14	if	if	SCONJ
fbem-12038	52	15	adjacent	adjacent	ADJ
fbem-12038	52	16	words	word	NOUN
fbem-12038	52	17	"	"	PUNCT
fbem-12038	52	18	recognize	recognize	VERB
fbem-12038	52	19	"	"	PUNCT
fbem-12038	52	20	each	each	DET
fbem-12038	52	21	other	other	ADJ
fbem-12038	52	22	,	,	PUNCT
fbem-12038	52	23	it	it	PRON
fbem-12038	52	24	indicates	indicate	VERB
fbem-12038	52	25	that	that	SCONJ
fbem-12038	52	26	they	they	PRON
fbem-12038	52	27	have	have	VERB
fbem-12038	52	28	similarity	similarity	NOUN
fbem-12038	52	29	between	between	ADP
fbem-12038	52	30	words	word	NOUN
fbem-12038	52	31	,	,	PUNCT
fbem-12038	52	32	which	which	PRON
fbem-12038	52	33	is	be	AUX
fbem-12038	52	34	called	call	VERB
fbem-12038	52	35	"	"	PUNCT
fbem-12038	52	36	distance	distance	NOUN
fbem-12038	52	37	similarity	similarity	NOUN
fbem-12038	52	38	"	"	PUNCT
fbem-12038	52	39	in	in	ADP
fbem-12038	52	40	linguistics	linguistic	NOUN
fbem-12038	52	41	.	.	PUNCT
fbem-12038	53	1	word2vec	word2vec	X
fbem-12038	53	2	can	can	AUX
fbem-12038	53	3	simplify	simplify	VERB
fbem-12038	53	4	text	text	NOUN
fbem-12038	53	5	words	word	NOUN
fbem-12038	53	6	into	into	ADP
fbem-12038	53	7	kdimensional	kdimensional	ADJ
fbem-12038	53	8	real	real	ADJ
fbem-12038	53	9	number	number	NOUN
fbem-12038	53	10	vectors	vector	NOUN
fbem-12038	53	11	in	in	ADP
fbem-12038	53	12	vector	vector	NOUN
fbem-12038	53	13	space	space	NOUN
fbem-12038	53	14	through	through	ADP
fbem-12038	53	15	training	training	NOUN
fbem-12038	53	16	,	,	PUNCT
fbem-12038	53	17	and	and	CCONJ
fbem-12038	53	18	the	the	DET
fbem-12038	53	19	distance	distance	NOUN
fbem-12038	53	20	between	between	ADP
fbem-12038	53	21	vectors	vector	NOUN
fbem-12038	53	22	in	in	ADP
fbem-12038	53	23	vector	vector	NOUN
fbem-12038	53	24	space	space	NOUN
fbem-12038	53	25	can	can	AUX
fbem-12038	53	26	reflect	reflect	VERB
fbem-12038	53	27	the	the	DET
fbem-12038	53	28	semantic	semantic	ADJ
fbem-12038	53	29	relevance	relevance	NOUN
fbem-12038	53	30	of	of	ADP
fbem-12038	53	31	the	the	DET
fbem-12038	53	32	text	text	NOUN
fbem-12038	53	33	(	(	PUNCT
fbem-12038	53	34	yilmaz	yilmaz	PROPN
fbem-12038	53	35	&	&	CCONJ
fbem-12038	53	36	toklu	toklu	PROPN
fbem-12038	53	37	,	,	PUNCT
fbem-12038	53	38	2020	2020	NUM
fbem-12038	53	39	;	;	PUNCT
fbem-12038	53	40	yang	yang	PROPN
fbem-12038	53	41	et	et	PROPN
fbem-12038	53	42	al	al	PROPN
fbem-12038	53	43	.	.	PROPN
fbem-12038	53	44	,	,	PUNCT
fbem-12038	53	45	2020	2020	NUM
fbem-12038	53	46	)	)	PUNCT
fbem-12038	53	47	.	.	PUNCT
fbem-12038	54	1	this	this	DET
fbem-12038	54	2	method	method	NOUN
fbem-12038	54	3	solves	solve	VERB
fbem-12038	54	4	the	the	DET
fbem-12038	54	5	traditional	traditional	ADJ
fbem-12038	54	6	problem	problem	NOUN
fbem-12038	54	7	of	of	ADP
fbem-12038	54	8	sparse	sparse	ADJ
fbem-12038	54	9	text	text	NOUN
fbem-12038	54	10	vectors	vector	NOUN
fbem-12038	54	11	and	and	CCONJ
fbem-12038	54	12	reduces	reduce	VERB
fbem-12038	54	13	the	the	DET
fbem-12038	54	14	training	training	NOUN
fbem-12038	54	15	difficulty	difficulty	NOUN
fbem-12038	54	16	and	and	CCONJ
fbem-12038	54	17	time	time	NOUN
fbem-12038	54	18	of	of	ADP
fbem-12038	54	19	the	the	DET
fbem-12038	54	20	model	model	NOUN
fbem-12038	54	21	.	.	PUNCT
fbem-12038	55	1	therefore	therefore	ADV
fbem-12038	55	2	,	,	PUNCT
fbem-12038	55	3	word2vec	word2vec	X
fbem-12038	55	4	technology	technology	NOUN
fbem-12038	55	5	is	be	AUX
fbem-12038	55	6	often	often	ADV
fbem-12038	55	7	used	use	VERB
fbem-12038	55	8	for	for	ADP
fbem-12038	55	9	nlp	nlp	NOUN
fbem-12038	55	10	related	relate	VERB
fbem-12038	55	11	tasks	task	NOUN
fbem-12038	55	12	such	such	ADJ
fbem-12038	55	13	as	as	ADP
fbem-12038	55	14	clustering	cluster	VERB
fbem-12038	55	15	,	,	PUNCT
fbem-12038	55	16	finding	find	VERB
fbem-12038	55	17	synonyms	synonym	NOUN
fbem-12038	55	18	,	,	PUNCT
fbem-12038	55	19	and	and	CCONJ
fbem-12038	55	20	part	part	NOUN
fbem-12038	55	21	of	of	ADP
fbem-12038	55	22	speech	speech	NOUN
fbem-12038	55	23	analysis	analysis	NOUN
fbem-12038	55	24	.	.	PUNCT
fbem-12038	56	1	word2vec	word2vec	PROPN
fbem-12038	56	2	technology	technology	NOUN
fbem-12038	56	3	is	be	AUX
fbem-12038	56	4	a	a	DET
fbem-12038	56	5	model	model	NOUN
fbem-12038	56	6	proposed	propose	VERB
fbem-12038	56	7	based	base	VERB
fbem-12038	56	8	on	on	ADP
fbem-12038	56	9	cbow	cbow	VERB
fbem-12038	56	10	and	and	CCONJ
fbem-12038	56	11	skip	skip	VERB
fbem-12038	56	12	gram	gram	NOUN
fbem-12038	56	13	word	word	NOUN
fbem-12038	56	14	vector	vector	NOUN
fbem-12038	56	15	models	model	NOUN
fbem-12038	56	16	.	.	PUNCT
fbem-12038	57	1	the	the	DET
fbem-12038	57	2	basic	basic	ADJ
fbem-12038	57	3	idea	idea	NOUN
fbem-12038	57	4	is	be	AUX
fbem-12038	57	5	to	to	PART
fbem-12038	57	6	treat	treat	VERB
fbem-12038	57	7	the	the	DET
fbem-12038	57	8	document	document	NOUN
fbem-12038	57	9	as	as	ADP
fbem-12038	57	10	a	a	DET
fbem-12038	57	11	paragraph	paragraph	NOUN
fbem-12038	57	12	of	of	ADP
fbem-12038	57	13	a	a	DET
fbem-12038	57	14	larger	large	ADJ
fbem-12038	57	15	document	document	NOUN
fbem-12038	57	16	,	,	PUNCT
fbem-12038	57	17	add	add	VERB
fbem-12038	57	18	corresponding	correspond	VERB
fbem-12038	57	19	i	i	PROPN
fbem-12038	57	20	d	d	PROPN
fbem-12038	57	21	identifiers	identifier	NOUN
fbem-12038	57	22	,	,	PUNCT
fbem-12038	57	23	and	and	CCONJ
fbem-12038	57	24	continuously	continuously	ADV
fbem-12038	57	25	update	update	VERB
fbem-12038	57	26	them	they	PRON
fbem-12038	57	27	during	during	ADP
fbem-12038	57	28	the	the	DET
fbem-12038	57	29	training	training	NOUN
fbem-12038	57	30	process	process	NOUN
fbem-12038	57	31	,	,	PUNCT
fbem-12038	57	32	for	for	ADP
fbem-12038	57	33	example	example	NOUN
fbem-12038	57	34	,	,	PUNCT
fbem-12038	57	35	for	for	ADP
fbem-12038	57	36	book	book	NOUN
fbem-12038	57	37	review	review	NOUN
fbem-12038	57	38	di	di	NOUN
fbem-12038	57	39	,	,	PUNCT
fbem-12038	57	40	where	where	SCONJ
fbem-12038	57	41	i	i	PRON
fbem-12038	57	42	is	be	AUX
fbem-12038	57	43	the	the	DET
fbem-12038	57	44	identifier	identifier	NOUN
fbem-12038	57	45	of	of	ADP
fbem-12038	57	46	the	the	DET
fbem-12038	57	47	corresponding	correspond	VERB
fbem-12038	57	48	review	review	NOUN
fbem-12038	57	49	document	document	NOUN
fbem-12038	57	50	d.	d.	NOUN
fbem-12038	57	51	figure	figure	NOUN
fbem-12038	57	52	1	1	NUM
fbem-12038	57	53	.	.	PUNCT
fbem-12038	57	54	and	and	CCONJ
fbem-12038	57	55	figure	figure	VERB
fbem-12038	57	56	2	2	NUM
fbem-12038	57	57	.	.	NUM
fbem-12038	57	58	are	be	AUX
fbem-12038	57	59	schematic	schematic	ADJ
fbem-12038	57	60	diagrams	diagram	NOUN
fbem-12038	57	61	of	of	ADP
fbem-12038	57	62	using	use	VERB
fbem-12038	57	63	cbow	cbow	VERB
fbem-12038	57	64	word	word	NOUN
fbem-12038	57	65	vector	vector	NOUN
fbem-12038	57	66	model	model	NOUN
fbem-12038	57	67	and	and	CCONJ
fbem-12038	57	68	skip	skip	VERB
fbem-12038	57	69	gram	gram	NOUN
fbem-12038	57	70	word	word	NOUN
fbem-12038	57	71	vector	vector	NOUN
fbem-12038	57	72	model	model	NOUN
fbem-12038	57	73	to	to	PART
fbem-12038	57	74	train	train	VERB
fbem-12038	57	75	text	text	NOUN
fbem-12038	57	76	vectors	vector	NOUN
fbem-12038	57	77	,	,	PUNCT
fbem-12038	57	78	respectively	respectively	ADV
fbem-12038	57	79	.	.	PUNCT
fbem-12038	58	1	good	good	PROPN
fbem-12038	58	2	di	di	INTJ
fbem-12038	58	3	nice	nice	ADJ
fbem-12038	58	4	little	little	ADJ
fbem-12038	58	5	set	set	ADJ
fbem-12038	58	6	figure	figure	NOUN
fbem-12038	58	7	1	1	NUM
fbem-12038	58	8	.	.	PUNCT
fbem-12038	58	9	cbow	cbow	VERB
fbem-12038	58	10	word	word	NOUN
fbem-12038	58	11	vector	vector	NOUN
fbem-12038	58	12	model	model	NOUN
fbem-12038	58	13	training	training	NOUN
fbem-12038	58	14	text	text	NOUN
fbem-12038	58	15	vector	vector	NOUN
fbem-12038	58	16	graph	graph	NOUN
fbem-12038	58	17	    	    	SPACE
fbem-12038	58	18	di	di	NOUN
fbem-12038	58	19	goodsetlittlenice	goodsetlittlenice	NOUN
fbem-12038	58	20	figure	figure	NOUN
fbem-12038	58	21	2	2	NUM
fbem-12038	58	22	.	.	PUNCT
fbem-12038	58	23	skip	skip	VERB
fbem-12038	58	24	gram	gram	NOUN
fbem-12038	58	25	word	word	NOUN
fbem-12038	58	26	vector	vector	NOUN
fbem-12038	58	27	model	model	NOUN
fbem-12038	58	28	training	training	NOUN
fbem-12038	58	29	text	text	NOUN
fbem-12038	58	30	vector	vector	NOUN
fbem-12038	58	31	graph	graph	NOUN
fbem-12038	58	32	the	the	DET
fbem-12038	58	33	word2vec	word2vec	PROPN
fbem-12038	58	34	program	program	NOUN
fbem-12038	58	35	successfully	successfully	ADV
fbem-12038	58	36	achieved	achieve	VERB
fbem-12038	58	37	direct	direct	ADJ
fbem-12038	58	38	training	training	NOUN
fbem-12038	58	39	of	of	ADP
fbem-12038	58	40	text	text	NOUN
fbem-12038	58	41	vectors	vector	NOUN
fbem-12038	58	42	.	.	PUNCT
fbem-12038	59	1	some	some	DET
fbem-12038	59	2	important	important	ADJ
fbem-12038	59	3	parameters	parameter	NOUN
fbem-12038	59	4	and	and	CCONJ
fbem-12038	59	5	corresponding	corresponding	ADJ
fbem-12038	59	6	functions	function	NOUN
fbem-12038	59	7	of	of	ADP
fbem-12038	59	8	the	the	DET
fbem-12038	59	9	word2vec	word2vec	PROPN
fbem-12038	59	10	program	program	NOUN
fbem-12038	59	11	are	be	AUX
fbem-12038	59	12	shown	show	VERB
fbem-12038	59	13	in	in	ADP
fbem-12038	59	14	table	table	NOUN
fbem-12038	59	15	1	1	NUM
fbem-12038	59	16	.	.	PUNCT
fbem-12038	60	1	the	the	DET
fbem-12038	60	2	research	research	NOUN
fbem-12038	60	3	conclusion	conclusion	NOUN
fbem-12038	60	4	proves	prove	VERB
fbem-12038	60	5	that	that	SCONJ
fbem-12038	60	6	the	the	DET
fbem-12038	60	7	optimized	optimize	VERB
fbem-12038	60	8	word2vec	word2vec	PROPN
fbem-12038	60	9	program	program	NOUN
fbem-12038	60	10	in	in	ADP
fbem-12038	60	11	this	this	DET
fbem-12038	60	12	article	article	NOUN
fbem-12038	60	13	analyzes	analyze	VERB
fbem-12038	60	14	the	the	DET
fbem-12038	60	15	similarity	similarity	NOUN
fbem-12038	60	16	of	of	ADP
fbem-12038	60	17	word	word	NOUN
fbem-12038	60	18	vector	vector	NOUN
fbem-12038	60	19	features	feature	NOUN
fbem-12038	60	20	in	in	ADP
fbem-12038	60	21	book	book	NOUN
fbem-12038	60	22	review	review	NOUN
fbem-12038	60	23	texts	text	NOUN
fbem-12038	60	24	,	,	PUNCT
fbem-12038	60	25	that	that	ADV
fbem-12038	60	26	is	is	ADV
fbem-12038	60	27	,	,	PUNCT
fbem-12038	60	28	texts	text	NOUN
fbem-12038	60	29	with	with	ADP
fbem-12038	60	30	similar	similar	ADJ
fbem-12038	60	31	meanings	meaning	NOUN
fbem-12038	60	32	have	have	VERB
fbem-12038	60	33	similar	similar	ADJ
fbem-12038	60	34	distances	distance	NOUN
fbem-12038	60	35	in	in	ADP
fbem-12038	60	36	their	their	PRON
fbem-12038	60	37	vector	vector	NOUN
fbem-12038	60	38	spaces	space	NOUN
fbem-12038	60	39	.	.	PUNCT
fbem-12038	61	1	226	226	NUM
fbem-12038	61	2	table	table	NOUN
fbem-12038	61	3	1	1	NUM
fbem-12038	61	4	.	.	X
fbem-12038	61	5	word2vec	word2vec	PROPN
fbem-12038	61	6	program	program	NOUN
fbem-12038	61	7	parameters	parameter	NOUN
fbem-12038	61	8	table	table	NOUN
fbem-12038	61	9	parameter	parameter	NOUN
fbem-12038	61	10	name	name	NOUN
fbem-12038	61	11	function	function	NOUN
fbem-12038	61	12	sentences	sentence	NOUN
fbem-12038	61	13	used	use	VERB
fbem-12038	61	14	to	to	PART
fbem-12038	61	15	specify	specify	VERB
fbem-12038	61	16	a	a	DET
fbem-12038	61	17	training	training	NOUN
fbem-12038	61	18	corpus	corpus	NOUN
fbem-12038	61	19	list	list	NOUN
fbem-12038	61	20	,	,	PUNCT
fbem-12038	61	21	large	large	ADJ
fbem-12038	61	22	corpus	corpus	NOUN
fbem-12038	61	23	can	can	AUX
fbem-12038	61	24	be	be	AUX
fbem-12038	61	25	constructed	construct	VERB
fbem-12038	61	26	using	use	VERB
fbem-12038	61	27	browncorpus	browncorpus	NOUN
fbem-12038	61	28	,	,	PUNCT
fbem-12038	61	29	text8corpus	text8corpus	PROPN
fbem-12038	61	30	,	,	PUNCT
fbem-12038	61	31	or	or	CCONJ
fbem-12038	61	32	linesentence	linesentence	NOUN
fbem-12038	61	33	sg	sg	PART
fbem-12038	61	34	set	set	VERB
fbem-12038	61	35	the	the	DET
fbem-12038	61	36	training	training	NOUN
fbem-12038	61	37	algorithm	algorithm	NOUN
fbem-12038	61	38	with	with	ADP
fbem-12038	61	39	a	a	DET
fbem-12038	61	40	default	default	NOUN
fbem-12038	61	41	value	value	NOUN
fbem-12038	61	42	of	of	ADP
fbem-12038	61	43	0	0	NUM
fbem-12038	61	44	and	and	CCONJ
fbem-12038	61	45	use	use	VERB
fbem-12038	61	46	the	the	DET
fbem-12038	61	47	cbow	cbow	NOUN
fbem-12038	61	48	algorithm	algorithm	NOUN
fbem-12038	61	49	;	;	PUNCT
fbem-12038	61	50	sg=1	sg=1	PROPN
fbem-12038	61	51	,	,	PUNCT
fbem-12038	61	52	using	use	VERB
fbem-12038	61	53	skip	skip	ADJ
fbem-12038	61	54	gram	gram	NOUN
fbem-12038	61	55	algorithm	algorithm	NOUN
fbem-12038	61	56	size	size	NOUN
fbem-12038	61	57	the	the	DET
fbem-12038	61	58	dimension	dimension	NOUN
fbem-12038	61	59	of	of	ADP
fbem-12038	61	60	the	the	DET
fbem-12038	61	61	feature	feature	NOUN
fbem-12038	61	62	vector	vector	NOUN
fbem-12038	61	63	,	,	PUNCT
fbem-12038	61	64	with	with	ADP
fbem-12038	61	65	a	a	DET
fbem-12038	61	66	default	default	NOUN
fbem-12038	61	67	value	value	NOUN
fbem-12038	61	68	of	of	ADP
fbem-12038	61	69	100	100	NUM
fbem-12038	61	70	window	window	NOUN
fbem-12038	61	71	what	what	PRON
fbem-12038	61	72	is	be	AUX
fbem-12038	61	73	the	the	DET
fbem-12038	61	74	maximum	maximum	ADJ
fbem-12038	61	75	distance	distance	NOUN
fbem-12038	61	76	between	between	ADP
fbem-12038	61	77	the	the	DET
fbem-12038	61	78	current	current	ADJ
fbem-12038	61	79	word	word	NOUN
fbem-12038	61	80	and	and	CCONJ
fbem-12038	61	81	the	the	DET
fbem-12038	61	82	predicted	predict	VERB
fbem-12038	61	83	word	word	NOUN
fbem-12038	61	84	in	in	ADP
fbem-12038	61	85	a	a	DET
fbem-12038	61	86	sentence	sentence	NOUN
fbem-12038	61	87	alpha	alpha	NOUN
fbem-12038	61	88	learning	learn	VERB
fbem-12038	61	89	rate	rate	NOUN
fbem-12038	61	90	seed	seed	NOUN
fbem-12038	61	91	randomizer	randomizer	NOUN
fbem-12038	61	92	min_count	min_count	NOUN
fbem-12038	61	93	dictionary	dictionary	PROPN
fbem-12038	61	94	truncation	truncation	NOUN
fbem-12038	61	95	value	value	NOUN
fbem-12038	61	96	,	,	PUNCT
fbem-12038	61	97	default	default	NOUN
fbem-12038	61	98	value	value	NOUN
fbem-12038	61	99	is	be	AUX
fbem-12038	61	100	5	5	NUM
fbem-12038	61	101	,	,	PUNCT
fbem-12038	61	102	word	word	NOUN
fbem-12038	61	103	frequency	frequency	NOUN
fbem-12038	61	104	is	be	AUX
fbem-12038	61	105	less	less	ADJ
fbem-12038	61	106	than	than	ADP
fbem-12038	61	107	min	min	NOUN
fbem-12038	61	108	_	_	NOUN
fbem-12038	61	109	words	word	NOUN
fbem-12038	61	110	with	with	ADP
fbem-12038	61	111	count	count	NOUN
fbem-12038	61	112	count	count	NOUN
fbem-12038	61	113	count	count	NOUN
fbem-12038	61	114	will	will	AUX
fbem-12038	61	115	be	be	AUX
fbem-12038	61	116	discarded	discard	VERB
fbem-12038	61	117	max_vocab_size	max_vocab_size	VERB
fbem-12038	61	118	the	the	DET
fbem-12038	61	119	ram	ram	NOUN
fbem-12038	61	120	limit	limit	NOUN
fbem-12038	61	121	during	during	ADP
fbem-12038	61	122	word	word	NOUN
fbem-12038	61	123	vector	vector	NOUN
fbem-12038	61	124	construction	construction	NOUN
fbem-12038	61	125	.	.	PUNCT
fbem-12038	62	1	if	if	SCONJ
fbem-12038	62	2	the	the	DET
fbem-12038	62	3	number	number	NOUN
fbem-12038	62	4	of	of	ADP
fbem-12038	62	5	independent	independent	ADJ
fbem-12038	62	6	words	word	NOUN
fbem-12038	62	7	exceeds	exceed	VERB
fbem-12038	62	8	this	this	PRON
fbem-12038	62	9	,	,	PUNCT
fbem-12038	62	10	the	the	DET
fbem-12038	62	11	least	least	ADV
fbem-12038	62	12	frequent	frequent	ADJ
fbem-12038	62	13	one	one	NOUN
fbem-12038	62	14	will	will	AUX
fbem-12038	62	15	be	be	AUX
fbem-12038	62	16	eliminated	eliminate	VERB
fbem-12038	62	17	.	.	PUNCT
fbem-12038	63	1	a	a	DET
fbem-12038	63	2	value	value	NOUN
fbem-12038	63	3	of	of	ADP
fbem-12038	63	4	none	none	NOUN
fbem-12038	63	5	indicates	indicate	VERB
fbem-12038	63	6	no	no	DET
fbem-12038	63	7	limit	limit	NOUN
fbem-12038	63	8	sample	sample	NOUN
fbem-12038	63	9	configuration	configuration	NOUN
fbem-12038	63	10	threshold	threshold	NOUN
fbem-12038	63	11	for	for	ADP
fbem-12038	63	12	random	random	ADJ
fbem-12038	63	13	downsampling	downsampling	NOUN
fbem-12038	63	14	of	of	ADP
fbem-12038	63	15	high	high	ADJ
fbem-12038	63	16	-	-	PUNCT
fbem-12038	63	17	frequency	frequency	NOUN
fbem-12038	63	18	vocabulary	vocabulary	NOUN
fbem-12038	63	19	workers	worker	NOUN
fbem-12038	63	20	control	control	VERB
fbem-12038	63	21	the	the	DET
fbem-12038	63	22	parallel	parallel	ADJ
fbem-12038	63	23	number	number	NOUN
fbem-12038	63	24	of	of	ADP
fbem-12038	63	25	text	text	NOUN
fbem-12038	63	26	training	training	NOUN
fbem-12038	63	27	iter	iter	NOUN
fbem-12038	63	28	iteration	iteration	NOUN
fbem-12038	63	29	count	count	NOUN
fbem-12038	63	30	,	,	PUNCT
fbem-12038	63	31	default	default	NOUN
fbem-12038	63	32	to	to	ADP
fbem-12038	63	33	5	5	NUM
fbem-12038	63	34	batch_words	batch_word	NOUN
fbem-12038	63	35	the	the	DET
fbem-12038	63	36	number	number	NOUN
fbem-12038	63	37	of	of	ADP
fbem-12038	63	38	words	word	NOUN
fbem-12038	63	39	passed	pass	VERB
fbem-12038	63	40	to	to	ADP
fbem-12038	63	41	the	the	DET
fbem-12038	63	42	thread	thread	NOUN
fbem-12038	63	43	in	in	ADP
fbem-12038	63	44	each	each	DET
fbem-12038	63	45	batch	batch	NOUN
fbem-12038	63	46	,	,	PUNCT
fbem-12038	63	47	default	default	NOUN
fbem-12038	63	48	to	to	ADP
fbem-12038	63	49	10000	10000	NUM
fbem-12038	63	50	the	the	DET
fbem-12038	63	51	word2vec	word2vec	PROPN
fbem-12038	63	52	program	program	NOUN
fbem-12038	63	53	sets	set	VERB
fbem-12038	63	54	a	a	DET
fbem-12038	63	55	corresponding	correspond	VERB
fbem-12038	63	56	text	text	NOUN
fbem-12038	63	57	i	i	PROPN
fbem-12038	63	58	d	d	PROPN
fbem-12038	63	59	tag	tag	NOUN
fbem-12038	63	60	for	for	ADP
fbem-12038	63	61	each	each	DET
fbem-12038	63	62	text	text	NOUN
fbem-12038	63	63	in	in	ADP
fbem-12038	63	64	the	the	DET
fbem-12038	63	65	text	text	NOUN
fbem-12038	63	66	set	set	NOUN
fbem-12038	63	67	.	.	PUNCT
fbem-12038	64	1	some	some	DET
fbem-12038	64	2	scholars	scholar	NOUN
fbem-12038	64	3	have	have	AUX
fbem-12038	64	4	found	find	VERB
fbem-12038	64	5	that	that	SCONJ
fbem-12038	64	6	the	the	DET
fbem-12038	64	7	accuracy	accuracy	NOUN
fbem-12038	64	8	of	of	ADP
fbem-12038	64	9	text	text	NOUN
fbem-12038	64	10	features	feature	NOUN
fbem-12038	64	11	is	be	AUX
fbem-12038	64	12	related	relate	VERB
fbem-12038	64	13	to	to	ADP
fbem-12038	64	14	the	the	DET
fbem-12038	64	15	amount	amount	NOUN
fbem-12038	64	16	of	of	ADP
fbem-12038	64	17	text	text	NOUN
fbem-12038	64	18	corpus	corpus	NOUN
fbem-12038	64	19	.	.	PUNCT
fbem-12038	65	1	the	the	DET
fbem-12038	65	2	more	more	ADJ
fbem-12038	65	3	text	text	NOUN
fbem-12038	65	4	corpus	corpus	NOUN
fbem-12038	65	5	,	,	PUNCT
fbem-12038	65	6	the	the	PRON
fbem-12038	65	7	higher	high	ADJ
fbem-12038	65	8	the	the	DET
fbem-12038	65	9	accuracy	accuracy	NOUN
fbem-12038	65	10	.	.	PUNCT
fbem-12038	66	1	in	in	ADP
fbem-12038	66	2	addition	addition	NOUN
fbem-12038	66	3	,	,	PUNCT
fbem-12038	66	4	by	by	ADP
fbem-12038	66	5	repeatedly	repeatedly	ADV
fbem-12038	66	6	training	train	VERB
fbem-12038	66	7	randomly	randomly	ADV
fbem-12038	66	8	scrambled	scramble	VERB
fbem-12038	66	9	text	text	NOUN
fbem-12038	66	10	,	,	PUNCT
fbem-12038	66	11	the	the	DET
fbem-12038	66	12	accuracy	accuracy	NOUN
fbem-12038	66	13	of	of	ADP
fbem-12038	66	14	text	text	NOUN
fbem-12038	66	15	features	feature	NOUN
fbem-12038	66	16	can	can	AUX
fbem-12038	66	17	also	also	ADV
fbem-12038	66	18	be	be	AUX
fbem-12038	66	19	improved	improve	VERB
fbem-12038	66	20	.	.	PUNCT
fbem-12038	67	1	when	when	SCONJ
fbem-12038	67	2	training	train	VERB
fbem-12038	67	3	the	the	DET
fbem-12038	67	4	book	book	NOUN
fbem-12038	67	5	review	review	NOUN
fbem-12038	67	6	corpus	corpus	NOUN
fbem-12038	67	7	in	in	ADP
fbem-12038	67	8	this	this	DET
fbem-12038	67	9	article	article	NOUN
fbem-12038	67	10	,	,	PUNCT
fbem-12038	67	11	in	in	ADP
fbem-12038	67	12	order	order	NOUN
fbem-12038	67	13	to	to	PART
fbem-12038	67	14	improve	improve	VERB
fbem-12038	67	15	accuracy	accuracy	NOUN
fbem-12038	67	16	,	,	PUNCT
fbem-12038	67	17	all	all	DET
fbem-12038	67	18	book	book	NOUN
fbem-12038	67	19	reviews	review	NOUN
fbem-12038	67	20	are	be	AUX
fbem-12038	67	21	set	set	VERB
fbem-12038	67	22	as	as	ADP
fbem-12038	67	23	the	the	DET
fbem-12038	67	24	training	training	NOUN
fbem-12038	67	25	corpus	corpus	NOUN
fbem-12038	67	26	.	.	PUNCT
fbem-12038	68	1	the	the	DET
fbem-12038	68	2	specific	specific	ADJ
fbem-12038	68	3	parameter	parameter	NOUN
fbem-12038	68	4	names	name	NOUN
fbem-12038	68	5	and	and	CCONJ
fbem-12038	68	6	values	value	NOUN
fbem-12038	68	7	for	for	ADP
fbem-12038	68	8	other	other	ADJ
fbem-12038	68	9	parameter	parameter	NOUN
fbem-12038	68	10	settings	setting	NOUN
fbem-12038	68	11	are	be	AUX
fbem-12038	68	12	shown	show	VERB
fbem-12038	68	13	in	in	ADP
fbem-12038	68	14	table	table	NOUN
fbem-12038	68	15	2	2	NUM
fbem-12038	68	16	.	.	NUM
fbem-12038	68	17	,	,	PUNCT
fbem-12038	68	18	and	and	CCONJ
fbem-12038	68	19	the	the	DET
fbem-12038	68	20	10	10	NUM
fbem-12038	68	21	most	most	ADV
fbem-12038	68	22	relevant	relevant	ADJ
fbem-12038	68	23	words	word	NOUN
fbem-12038	68	24	to	to	ADP
fbem-12038	68	25	the	the	DET
fbem-12038	68	26	word	word	NOUN
fbem-12038	68	27	'	'	PUNCT
fbem-12038	68	28	good	good	ADJ
fbem-12038	68	29	'	'	PUNCT
fbem-12038	68	30	are	be	AUX
fbem-12038	68	31	output	output	NOUN
fbem-12038	68	32	,	,	PUNCT
fbem-12038	68	33	sorted	sort	VERB
fbem-12038	68	34	by	by	ADP
fbem-12038	68	35	relevance	relevance	NOUN
fbem-12038	68	36	as	as	SCONJ
fbem-12038	68	37	shown	show	VERB
fbem-12038	68	38	in	in	ADP
fbem-12038	68	39	table	table	NOUN
fbem-12038	68	40	3	3	NUM
fbem-12038	68	41	.	.	PUNCT
fbem-12038	68	42	table	table	NOUN
fbem-12038	68	43	2	2	NUM
fbem-12038	68	44	.	.	PUNCT
fbem-12038	68	45	word2vec	word2vec	PROPN
fbem-12038	68	46	parameter	parameter	PROPN
fbem-12038	68	47	settings	setting	NOUN
fbem-12038	68	48	for	for	ADP
fbem-12038	68	49	book	book	NOUN
fbem-12038	68	50	reviews	review	NOUN
fbem-12038	68	51	parameter	parameter	NOUN
fbem-12038	68	52	parameter	parameter	PROPN
fbem-12038	68	53	value	value	NOUN
fbem-12038	68	54	sentences	sentence	NOUN
fbem-12038	68	55	text	text	VERB
fbem-12038	68	56	sg	sg	ADP
fbem-12038	68	57	1	1	NUM
fbem-12038	68	58	size	size	NOUN
fbem-12038	68	59	200	200	NUM
fbem-12038	68	60	window	window	NOUN
fbem-12038	68	61	5	5	NUM
fbem-12038	68	62	alpha	alpha	NOUN
fbem-12038	68	63	0.025	0.025	NUM
fbem-12038	68	64	min_count	min_count	NOUN
fbem-12038	68	65	2	2	NUM
fbem-12038	68	66	workers	worker	NOUN
fbem-12038	68	67	3	3	NUM
fbem-12038	68	68	table	table	NOUN
fbem-12038	68	69	3	3	NUM
fbem-12038	68	70	.	.	PUNCT
fbem-12038	69	1	the	the	DET
fbem-12038	69	2	10	10	NUM
fbem-12038	69	3	most	most	ADV
fbem-12038	69	4	relevant	relevant	ADJ
fbem-12038	69	5	words	word	NOUN
fbem-12038	69	6	and	and	CCONJ
fbem-12038	69	7	their	their	PRON
fbem-12038	69	8	correlation	correlation	NOUN
fbem-12038	69	9	with	with	ADP
fbem-12038	69	10	'	'	PUNCT
fbem-12038	69	11	good	good	ADJ
fbem-12038	69	12	'	'	PUNCT
fbem-12038	69	13	word	word	NOUN
fbem-12038	69	14	name	name	NOUN
fbem-12038	69	15	relevance	relevance	NOUN
fbem-12038	69	16	decent	decent	ADJ
fbem-12038	69	17	0.801	0.801	NUM
fbem-12038	69	18	great	great	ADJ
fbem-12038	69	19	0.799	0.799	NUM
fbem-12038	69	20	cool	cool	ADJ
fbem-12038	69	21	0.799	0.799	NUM
fbem-12038	70	1	goodthis	goodthis	PRON
fbem-12038	70	2	0.795	0.795	NUM
fbem-12038	70	3	starsthis	starsthi	VERB
fbem-12038	70	4	0.784	0.784	NUM
fbem-12038	70	5	shortthis	shortthis	ADJ
fbem-12038	70	6	0.780	0.780	NUM
fbem-12038	70	7	originality	originality	NOUN
fbem-12038	70	8	0.780	0.780	NUM
fbem-12038	70	9	k	k	NOUN
fbem-12038	70	10	0.779	0.779	NUM
fbem-12038	70	11	readit	readit	NOUN
fbem-12038	70	12	0.779	0.779	NUM
fbem-12038	70	13	storythe	storythe	DET
fbem-12038	70	14	0.776	0.776	NUM
fbem-12038	70	15	3	3	NUM
fbem-12038	70	16	.	.	PUNCT
fbem-12038	71	1	literature	literature	NOUN
fbem-12038	71	2	references	reference	NOUN
fbem-12038	71	3	emotional	emotional	ADJ
fbem-12038	71	4	analysis	analysis	NOUN
fbem-12038	71	5	is	be	AUX
fbem-12038	71	6	an	an	DET
fbem-12038	71	7	emerging	emerge	VERB
fbem-12038	71	8	research	research	NOUN
fbem-12038	71	9	topic	topic	NOUN
fbem-12038	71	10	that	that	PRON
fbem-12038	71	11	has	have	AUX
fbem-12038	71	12	been	be	AUX
fbem-12038	71	13	studied	study	VERB
fbem-12038	71	14	by	by	ADP
fbem-12038	71	15	many	many	ADJ
fbem-12038	71	16	scholars	scholar	NOUN
fbem-12038	71	17	at	at	ADP
fbem-12038	71	18	present	present	ADJ
fbem-12038	71	19	.	.	PUNCT
fbem-12038	72	1	in	in	ADP
fbem-12038	72	2	2022	2022	NUM
fbem-12038	72	3	,	,	PUNCT
fbem-12038	72	4	dharma	dharma	NOUN
fbem-12038	72	5	et	et	PROPN
fbem-12038	72	6	al	al	PROPN
fbem-12038	72	7	.	.	PROPN
fbem-12038	72	8	adopted	adopt	VERB
fbem-12038	72	9	a	a	DET
fbem-12038	72	10	neural	neural	ADJ
fbem-12038	72	11	network	network	NOUN
fbem-12038	72	12	embedded	embed	VERB
fbem-12038	72	13	in	in	ADP
fbem-12038	72	14	the	the	DET
fbem-12038	72	15	word2vec	word2vec	PROPN
fbem-12038	72	16	algorithm	algorithm	NOUN
fbem-12038	72	17	to	to	PART
fbem-12038	72	18	capture	capture	VERB
fbem-12038	72	19	semantics	semantic	NOUN
fbem-12038	72	20	,	,	PUNCT
fbem-12038	72	21	and	and	CCONJ
fbem-12038	72	22	found	find	VERB
fbem-12038	72	23	that	that	SCONJ
fbem-12038	72	24	it	it	PRON
fbem-12038	72	25	had	have	VERB
fbem-12038	72	26	the	the	DET
fbem-12038	72	27	best	good	ADJ
fbem-12038	72	28	accuracy	accuracy	NOUN
fbem-12038	72	29	in	in	ADP
fbem-12038	72	30	the	the	DET
fbem-12038	72	31	process	process	NOUN
fbem-12038	72	32	of	of	ADP
fbem-12038	72	33	text	text	NOUN
fbem-12038	72	34	classification	classification	NOUN
fbem-12038	72	35	;	;	PUNCT
fbem-12038	72	36	based	base	VERB
fbem-12038	72	37	on	on	ADP
fbem-12038	72	38	4884	4884	NUM
fbem-12038	72	39	articles	article	NOUN
fbem-12038	72	40	published	publish	VERB
fbem-12038	72	41	since	since	SCONJ
fbem-12038	72	42	the	the	DET
fbem-12038	72	43	establishment	establishment	NOUN
fbem-12038	72	44	of	of	ADP
fbem-12038	72	45	rcr	rcr	PROPN
fbem-12038	72	46	.	.	PUNCT
fbem-12038	73	1	in	in	ADP
fbem-12038	73	2	2023	2023	NUM
fbem-12038	73	3	,	,	PUNCT
fbem-12038	73	4	zhu	zhu	PROPN
fbem-12038	73	5	et	et	PROPN
fbem-12038	73	6	al	al	PROPN
fbem-12038	73	7	.	.	PROPN
fbem-12038	73	8	utilized	utilize	VERB
fbem-12038	73	9	natural	natural	ADJ
fbem-12038	73	10	language	language	NOUN
fbem-12038	73	11	processing	processing	NOUN
fbem-12038	73	12	and	and	CCONJ
fbem-12038	73	13	word2vec	word2vec	X
fbem-12038	73	14	technology	technology	NOUN
fbem-12038	73	15	to	to	PART
fbem-12038	73	16	identify	identify	VERB
fbem-12038	73	17	potential	potential	ADJ
fbem-12038	73	18	patterns	pattern	NOUN
fbem-12038	73	19	,	,	PUNCT
fbem-12038	73	20	connections	connection	NOUN
fbem-12038	73	21	,	,	PUNCT
fbem-12038	73	22	and	and	CCONJ
fbem-12038	73	23	interactions	interaction	NOUN
fbem-12038	73	24	between	between	ADP
fbem-12038	73	25	research	research	NOUN
fbem-12038	73	26	topics	topic	NOUN
fbem-12038	73	27	and	and	CCONJ
fbem-12038	73	28	topic	topic	NOUN
fbem-12038	73	29	vectors	vector	NOUN
fbem-12038	73	30	.	.	PUNCT
fbem-12038	74	1	in	in	ADP
fbem-12038	74	2	2022	2022	NUM
fbem-12038	74	3	,	,	PUNCT
fbem-12038	74	4	styawati	styawati	NOUN
fbem-12038	74	5	et	et	PROPN
fbem-12038	74	6	al	al	PROPN
fbem-12038	74	7	.	.	PROPN
fbem-12038	74	8	conducted	conduct	VERB
fbem-12038	74	9	sentiment	sentiment	NOUN
fbem-12038	74	10	analysis	analysis	NOUN
fbem-12038	74	11	on	on	ADP
fbem-12038	74	12	comments	comment	NOUN
fbem-12038	74	13	on	on	ADP
fbem-12038	74	14	online	online	ADJ
fbem-12038	74	15	transportation	transportation	NOUN
fbem-12038	74	16	service	service	NOUN
fbem-12038	74	17	apps	app	NOUN
fbem-12038	74	18	using	use	VERB
fbem-12038	74	19	word2vec	word2vec	PROPN
fbem-12038	74	20	text	text	NOUN
fbem-12038	74	21	embedding	embed	VERB
fbem-12038	74	22	algorithm	algorithm	NOUN
fbem-12038	74	23	and	and	CCONJ
fbem-12038	74	24	support	support	NOUN
fbem-12038	74	25	vector	vector	NOUN
fbem-12038	74	26	machine	machine	NOUN
fbem-12038	74	27	(	(	PUNCT
fbem-12038	74	28	svm	svm	ADJ
fbem-12038	74	29	)	)	PUNCT
fbem-12038	74	30	algorithm	algorithm	NOUN
fbem-12038	74	31	.	.	PUNCT
fbem-12038	75	1	word2vec	word2vec	PROPN
fbem-12038	75	2	is	be	AUX
fbem-12038	75	3	used	use	VERB
fbem-12038	75	4	to	to	PART
fbem-12038	75	5	extract	extract	VERB
fbem-12038	75	6	text	text	NOUN
fbem-12038	75	7	features	feature	NOUN
fbem-12038	75	8	and	and	CCONJ
fbem-12038	75	9	represent	represent	VERB
fbem-12038	75	10	words	word	NOUN
fbem-12038	75	11	in	in	ADP
fbem-12038	75	12	vector	vector	NOUN
fbem-12038	75	13	form	form	NOUN
fbem-12038	75	14	.	.	PUNCT
fbem-12038	76	1	construct	construct	VERB
fbem-12038	76	2	the	the	DET
fbem-12038	76	3	word2vec	word2vec	PROPN
fbem-12038	76	4	model	model	NOUN
fbem-12038	76	5	using	use	VERB
fbem-12038	76	6	the	the	DET
fbem-12038	76	7	skip	skip	ADJ
fbem-12038	76	8	gram	gram	NOUN
fbem-12038	76	9	model	model	NOUN
fbem-12038	76	10	.	.	PUNCT
fbem-12038	77	1	the	the	DET
fbem-12038	77	2	support	support	NOUN
fbem-12038	77	3	vector	vector	NOUN
fbem-12038	77	4	machine	machine	NOUN
fbem-12038	77	5	(	(	PUNCT
fbem-12038	77	6	svm	svm	ADJ
fbem-12038	77	7	)	)	PUNCT
fbem-12038	77	8	algorithm	algorithm	NOUN
fbem-12038	77	9	is	be	AUX
fbem-12038	77	10	used	use	VERB
fbem-12038	77	11	for	for	SCONJ
fbem-12038	77	12	text	text	NOUN
fbem-12038	77	13	data	datum	NOUN
fbem-12038	77	14	classification	classification	NOUN
fbem-12038	77	15	to	to	PART
fbem-12038	77	16	emotionally	emotionally	ADV
fbem-12038	77	17	assess	assess	VERB
fbem-12038	77	18	the	the	DET
fbem-12038	77	19	accuracy	accuracy	NOUN
fbem-12038	77	20	of	of	ADP
fbem-12038	77	21	the	the	DET
fbem-12038	77	22	text	text	NOUN
fbem-12038	77	23	data	datum	NOUN
fbem-12038	77	24	used	use	VERB
fbem-12038	77	25	.	.	PUNCT
fbem-12038	78	1	in	in	ADP
fbem-12038	78	2	2023	2023	NUM
fbem-12038	78	3	,	,	PUNCT
fbem-12038	78	4	ma	ma	PROPN
fbem-12038	78	5	et	et	PROPN
fbem-12038	78	6	al	al	PROPN
fbem-12038	78	7	.	.	PROPN
fbem-12038	78	8	cleverly	cleverly	ADV
fbem-12038	78	9	combined	combine	VERB
fbem-12038	78	10	latent	latent	NOUN
fbem-12038	78	11	227	227	NUM
fbem-12038	78	12	dirichlet	dirichlet	NOUN
fbem-12038	78	13	distribution	distribution	NOUN
fbem-12038	78	14	(	(	PUNCT
fbem-12038	78	15	lda	lda	PROPN
fbem-12038	78	16	)	)	PUNCT
fbem-12038	78	17	and	and	CCONJ
fbem-12038	78	18	word2vec	word2vec	X
fbem-12038	78	19	to	to	PART
fbem-12038	78	20	generate	generate	VERB
fbem-12038	78	21	a	a	DET
fbem-12038	78	22	thematic	thematic	ADJ
fbem-12038	78	23	evolution	evolution	NOUN
fbem-12038	78	24	map	map	NOUN
fbem-12038	78	25	from	from	ADP
fbem-12038	78	26	global	global	ADJ
fbem-12038	78	27	to	to	ADP
fbem-12038	78	28	local	local	ADJ
fbem-12038	78	29	corpus	corpus	NOUN
fbem-12038	78	30	,	,	PUNCT
fbem-12038	78	31	discovering	discover	VERB
fbem-12038	78	32	and	and	CCONJ
fbem-12038	78	33	revealing	reveal	VERB
fbem-12038	78	34	the	the	DET
fbem-12038	78	35	multi	multi	ADJ
fbem-12038	78	36	-	-	ADJ
fbem-12038	78	37	level	level	ADJ
fbem-12038	78	38	information	information	NOUN
fbem-12038	78	39	evolution	evolution	NOUN
fbem-12038	78	40	of	of	ADP
fbem-12038	78	41	themes	theme	NOUN
fbem-12038	78	42	.	.	PUNCT
fbem-12038	79	1	this	this	PRON
fbem-12038	79	2	includes	include	VERB
fbem-12038	79	3	the	the	DET
fbem-12038	79	4	distribution	distribution	NOUN
fbem-12038	79	5	trend	trend	NOUN
fbem-12038	79	6	of	of	ADP
fbem-12038	79	7	topics	topic	NOUN
fbem-12038	79	8	throughout	throughout	ADP
fbem-12038	79	9	the	the	DET
fbem-12038	79	10	entire	entire	ADJ
fbem-12038	79	11	time	time	NOUN
fbem-12038	79	12	series	series	NOUN
fbem-12038	79	13	,	,	PUNCT
fbem-12038	79	14	as	as	ADV
fbem-12038	79	15	well	well	ADV
fbem-12038	79	16	as	as	ADP
fbem-12038	79	17	the	the	DET
fbem-12038	79	18	merging	merging	NOUN
fbem-12038	79	19	and	and	CCONJ
fbem-12038	79	20	splitting	splitting	NOUN
fbem-12038	79	21	of	of	ADP
fbem-12038	79	22	semantic	semantic	ADJ
fbem-12038	79	23	information	information	NOUN
fbem-12038	79	24	between	between	ADP
fbem-12038	79	25	adjacent	adjacent	ADJ
fbem-12038	79	26	time	time	NOUN
fbem-12038	79	27	topics	topic	NOUN
fbem-12038	79	28	.	.	PUNCT
fbem-12038	80	1	revealed	reveal	VERB
fbem-12038	80	2	the	the	DET
fbem-12038	80	3	correlation	correlation	NOUN
fbem-12038	80	4	between	between	ADP
fbem-12038	80	5	themes	theme	NOUN
fbem-12038	80	6	and	and	CCONJ
fbem-12038	80	7	the	the	DET
fbem-12038	80	8	entire	entire	ADJ
fbem-12038	80	9	lifecycle	lifecycle	NOUN
fbem-12038	80	10	of	of	ADP
fbem-12038	80	11	their	their	PRON
fbem-12038	80	12	emergence	emergence	NOUN
fbem-12038	80	13	,	,	PUNCT
fbem-12038	80	14	development	development	NOUN
fbem-12038	80	15	,	,	PUNCT
fbem-12038	80	16	maturity	maturity	NOUN
fbem-12038	80	17	,	,	PUNCT
fbem-12038	80	18	and	and	CCONJ
fbem-12038	80	19	decline	decline	NOUN
fbem-12038	80	20	.	.	PUNCT
fbem-12038	81	1	4	4	X
fbem-12038	81	2	.	.	X
fbem-12038	81	3	conclusion	conclusion	NOUN
fbem-12038	81	4	to	to	PART
fbem-12038	81	5	evaluate	evaluate	VERB
fbem-12038	81	6	and	and	CCONJ
fbem-12038	81	7	test	test	VERB
fbem-12038	81	8	the	the	DET
fbem-12038	81	9	accuracy	accuracy	NOUN
fbem-12038	81	10	and	and	CCONJ
fbem-12038	81	11	prediction	prediction	NOUN
fbem-12038	81	12	performance	performance	NOUN
fbem-12038	81	13	of	of	ADP
fbem-12038	81	14	the	the	DET
fbem-12038	81	15	model	model	NOUN
fbem-12038	81	16	,	,	PUNCT
fbem-12038	81	17	precision	precision	NOUN
fbem-12038	81	18	,	,	PUNCT
fbem-12038	81	19	recall	recall	NOUN
fbem-12038	81	20	,	,	PUNCT
fbem-12038	81	21	and	and	CCONJ
fbem-12038	81	22	f1	f1	NOUN
fbem-12038	81	23	were	be	AUX
fbem-12038	81	24	used	use	VERB
fbem-12038	81	25	to	to	PART
fbem-12038	81	26	evaluate	evaluate	VERB
fbem-12038	81	27	the	the	DET
fbem-12038	81	28	classification	classification	NOUN
fbem-12038	81	29	and	and	CCONJ
fbem-12038	81	30	prediction	prediction	NOUN
fbem-12038	81	31	performance	performance	NOUN
fbem-12038	81	32	of	of	ADP
fbem-12038	81	33	the	the	DET
fbem-12038	81	34	model	model	NOUN
fbem-12038	81	35	.	.	PUNCT
fbem-12038	82	1	a	a	DET
fbem-12038	82	2	ten	ten	NUM
fbem-12038	82	3	fold	fold	NOUN
fbem-12038	82	4	crossover	crossover	NOUN
fbem-12038	82	5	method	method	NOUN
fbem-12038	82	6	was	be	AUX
fbem-12038	82	7	used	use	VERB
fbem-12038	82	8	to	to	PART
fbem-12038	82	9	evaluate	evaluate	VERB
fbem-12038	82	10	the	the	DET
fbem-12038	82	11	classification	classification	NOUN
fbem-12038	82	12	and	and	CCONJ
fbem-12038	82	13	prediction	prediction	NOUN
fbem-12038	82	14	performance	performance	NOUN
fbem-12038	82	15	.	.	PUNCT
fbem-12038	83	1	the	the	DET
fbem-12038	83	2	review	review	NOUN
fbem-12038	83	3	book	book	NOUN
fbem-12038	83	4	dataset	dataset	NOUN
fbem-12038	83	5	book_review	book_review	NOUN
fbem-12038	83	6	is	be	AUX
fbem-12038	83	7	divided	divide	VERB
fbem-12038	83	8	into	into	ADP
fbem-12038	83	9	10	10	NUM
fbem-12038	83	10	parts	part	NOUN
fbem-12038	83	11	,	,	PUNCT
fbem-12038	83	12	and	and	CCONJ
fbem-12038	83	13	the	the	DET
fbem-12038	83	14	training	training	NOUN
fbem-12038	83	15	and	and	CCONJ
fbem-12038	83	16	testing	testing	NOUN
fbem-12038	83	17	sets	set	NOUN
fbem-12038	83	18	are	be	AUX
fbem-12038	83	19	divided	divide	VERB
fbem-12038	83	20	in	in	ADP
fbem-12038	83	21	an	an	DET
fbem-12038	83	22	8:2	8:2	NUM
fbem-12038	83	23	ratio	ratio	NOUN
fbem-12038	83	24	to	to	PART
fbem-12038	83	25	obtain	obtain	VERB
fbem-12038	83	26	the	the	DET
fbem-12038	83	27	precision	precision	NOUN
fbem-12038	83	28	,	,	PUNCT
fbem-12038	83	29	recall	recall	NOUN
fbem-12038	83	30	,	,	PUNCT
fbem-12038	83	31	and	and	CCONJ
fbem-12038	83	32	f1	f1	NOUN
fbem-12038	83	33	values	value	NOUN
fbem-12038	83	34	of	of	ADP
fbem-12038	83	35	the	the	DET
fbem-12038	83	36	experimental	experimental	ADJ
fbem-12038	83	37	model	model	NOUN
fbem-12038	83	38	.	.	PUNCT
fbem-12038	84	1	the	the	DET
fbem-12038	84	2	average	average	NOUN
fbem-12038	84	3	of	of	ADP
fbem-12038	84	4	these	these	DET
fbem-12038	84	5	values	value	NOUN
fbem-12038	84	6	is	be	AUX
fbem-12038	84	7	used	use	VERB
fbem-12038	84	8	to	to	PART
fbem-12038	84	9	evaluate	evaluate	VERB
fbem-12038	84	10	the	the	DET
fbem-12038	84	11	classification	classification	NOUN
fbem-12038	84	12	and	and	CCONJ
fbem-12038	84	13	prediction	prediction	NOUN
fbem-12038	84	14	performance	performance	NOUN
fbem-12038	84	15	of	of	ADP
fbem-12038	84	16	the	the	DET
fbem-12038	84	17	model	model	NOUN
fbem-12038	84	18	.	.	PUNCT
fbem-12038	85	1	through	through	ADP
fbem-12038	85	2	experiments	experiment	NOUN
fbem-12038	85	3	on	on	ADP
fbem-12038	85	4	the	the	DET
fbem-12038	85	5	comment	comment	NOUN
fbem-12038	85	6	dataset	dataset	NOUN
fbem-12038	85	7	,	,	PUNCT
fbem-12038	85	8	it	it	PRON
fbem-12038	85	9	was	be	AUX
fbem-12038	85	10	verified	verify	VERB
fbem-12038	85	11	that	that	SCONJ
fbem-12038	85	12	the	the	DET
fbem-12038	85	13	model	model	NOUN
fbem-12038	85	14	has	have	VERB
fbem-12038	85	15	good	good	ADJ
fbem-12038	85	16	predictive	predictive	ADJ
fbem-12038	85	17	performance	performance	NOUN
fbem-12038	85	18	.	.	PUNCT
fbem-12038	86	1	the	the	DET
fbem-12038	86	2	validated	validate	VERB
fbem-12038	86	3	model	model	NOUN
fbem-12038	86	4	methods	method	NOUN
fbem-12038	86	5	include	include	VERB
fbem-12038	86	6	linear	linear	PROPN
fbem-12038	86	7	support	support	NOUN
fbem-12038	86	8	vector	vector	NOUN
fbem-12038	86	9	machine	machine	NOUN
fbem-12038	86	10	(	(	PUNCT
fbem-12038	86	11	linear	linear	PROPN
fbem-12038	86	12	svm	svm	PROPN
fbem-12038	86	13	)	)	PUNCT
fbem-12038	86	14	,	,	PUNCT
fbem-12038	86	15	decision	decision	NOUN
fbem-12038	86	16	tree	tree	NOUN
fbem-12038	86	17	(	(	PUNCT
fbem-12038	86	18	dt	dt	NOUN
fbem-12038	86	19	)	)	PUNCT
fbem-12038	86	20	,	,	PUNCT
fbem-12038	86	21	and	and	CCONJ
fbem-12038	86	22	word2vec	word2vec	X
fbem-12038	86	23	classification	classification	NOUN
fbem-12038	86	24	method	method	NOUN
fbem-12038	86	25	,	,	PUNCT
fbem-12038	86	26	which	which	PRON
fbem-12038	86	27	are	be	AUX
fbem-12038	86	28	included	include	VERB
fbem-12038	86	29	in	in	ADP
fbem-12038	86	30	the	the	DET
fbem-12038	86	31	comment	comment	NOUN
fbem-12038	86	32	set	set	NOUN
fbem-12038	86	33	book	book	NOUN
fbem-12038	86	34	_	_	PUNCT
fbem-12038	86	35	conduct	conduct	VERB
fbem-12038	86	36	experiments	experiment	NOUN
fbem-12038	86	37	on	on	ADP
fbem-12038	86	38	view	view	NOUN
fbem-12038	86	39	to	to	PART
fbem-12038	86	40	verify	verify	VERB
fbem-12038	86	41	and	and	CCONJ
fbem-12038	86	42	compare	compare	VERB
fbem-12038	86	43	the	the	DET
fbem-12038	86	44	effectiveness	effectiveness	NOUN
fbem-12038	86	45	of	of	ADP
fbem-12038	86	46	three	three	NUM
fbem-12038	86	47	different	different	ADJ
fbem-12038	86	48	model	model	NOUN
fbem-12038	86	49	methods	method	NOUN
fbem-12038	86	50	in	in	ADP
fbem-12038	86	51	determining	determine	VERB
fbem-12038	86	52	emotional	emotional	ADJ
fbem-12038	86	53	tendencies	tendency	NOUN
fbem-12038	86	54	.	.	PUNCT
fbem-12038	87	1	the	the	DET
fbem-12038	87	2	experimental	experimental	ADJ
fbem-12038	87	3	results	result	NOUN
fbem-12038	87	4	are	be	AUX
fbem-12038	87	5	shown	show	VERB
fbem-12038	87	6	in	in	ADP
fbem-12038	87	7	table	table	NOUN
fbem-12038	87	8	4	4	NUM
fbem-12038	87	9	.	.	PUNCT
fbem-12038	87	10	table	table	NOUN
fbem-12038	87	11	4	4	NUM
fbem-12038	87	12	.	.	PUNCT
fbem-12038	88	1	accuracy	accuracy	NOUN
fbem-12038	88	2	of	of	ADP
fbem-12038	88	3	different	different	ADJ
fbem-12038	88	4	classification	classification	NOUN
fbem-12038	88	5	methods	method	NOUN
fbem-12038	88	6	model	model	NOUN
fbem-12038	88	7	precision	precision	PROPN
fbem-12038	88	8	recall	recall	PROPN
fbem-12038	88	9	f1	f1	PROPN
fbem-12038	88	10	linearsvm	linearsvm	ADJ
fbem-12038	88	11	0.81	0.81	NUM
fbem-12038	88	12	0.81	0.81	NUM
fbem-12038	88	13	0.81	0.81	NUM
fbem-12038	88	14	dt	dt	NOUN
fbem-12038	88	15	0.73	0.73	NUM
fbem-12038	88	16	0.73	0.73	NUM
fbem-12038	88	17	0.73	0.73	NUM
fbem-12038	88	18	word2vec	word2vec	NUM
fbem-12038	88	19	0.825	0.825	NUM
fbem-12038	88	20	0.83	0.83	NUM
fbem-12038	88	21	0.83	0.83	NUM
fbem-12038	88	22	from	from	ADP
fbem-12038	88	23	table	table	NOUN
fbem-12038	88	24	4	4	NUM
fbem-12038	88	25	above	above	ADV
fbem-12038	88	26	,	,	PUNCT
fbem-12038	88	27	it	it	PRON
fbem-12038	88	28	can	can	AUX
fbem-12038	88	29	be	be	AUX
fbem-12038	88	30	seen	see	VERB
fbem-12038	88	31	that	that	SCONJ
fbem-12038	88	32	the	the	DET
fbem-12038	88	33	word2vec	word2vec	PROPN
fbem-12038	88	34	model	model	NOUN
fbem-12038	88	35	algorithm	algorithm	PROPN
fbem-12038	88	36	has	have	VERB
fbem-12038	88	37	the	the	DET
fbem-12038	88	38	best	good	ADJ
fbem-12038	88	39	performance	performance	NOUN
fbem-12038	88	40	in	in	ADP
fbem-12038	88	41	sentiment	sentiment	NOUN
fbem-12038	88	42	classification	classification	NOUN
fbem-12038	88	43	and	and	CCONJ
fbem-12038	88	44	prediction	prediction	NOUN
fbem-12038	88	45	on	on	ADP
fbem-12038	88	46	dataset	dataset	ADJ
fbem-12038	88	47	book_review	book_review	NOUN
fbem-12038	88	48	,	,	PUNCT
fbem-12038	88	49	with	with	ADP
fbem-12038	88	50	the	the	DET
fbem-12038	88	51	highest	high	ADJ
fbem-12038	88	52	accuracy	accuracy	NOUN
fbem-12038	88	53	,	,	PUNCT
fbem-12038	88	54	recall	recall	NOUN
fbem-12038	88	55	,	,	PUNCT
fbem-12038	88	56	and	and	CCONJ
fbem-12038	88	57	f1	f1	NOUN
fbem-12038	88	58	values	value	NOUN
fbem-12038	88	59	.	.	PUNCT
fbem-12038	89	1	therefore	therefore	ADV
fbem-12038	89	2	,	,	PUNCT
fbem-12038	89	3	in	in	ADP
fbem-12038	89	4	the	the	DET
fbem-12038	89	5	study	study	NOUN
fbem-12038	89	6	of	of	ADP
fbem-12038	89	7	user	user	NOUN
fbem-12038	89	8	comment	comment	NOUN
fbem-12038	89	9	sentiment	sentiment	NOUN
fbem-12038	89	10	analysis	analysis	NOUN
fbem-12038	89	11	,	,	PUNCT
fbem-12038	89	12	the	the	DET
fbem-12038	89	13	word2vec	word2vec	PROPN
fbem-12038	89	14	algorithm	algorithm	NOUN
fbem-12038	89	15	is	be	AUX
fbem-12038	89	16	the	the	DET
fbem-12038	89	17	most	most	ADV
fbem-12038	89	18	suitable	suitable	ADJ
fbem-12038	89	19	choice	choice	NOUN
fbem-12038	89	20	.	.	PUNCT
fbem-12038	90	1	references	reference	NOUN
fbem-12038	90	2	[	[	X
fbem-12038	90	3	1	1	NUM
fbem-12038	90	4	]	]	PUNCT
fbem-12038	90	5	dharma	dharma	NOUN
fbem-12038	90	6	,	,	PUNCT
fbem-12038	90	7	eddy	eddy	PROPN
fbem-12038	90	8	muntina	muntina	PROPN
fbem-12038	90	9	,	,	PUNCT
fbem-12038	90	10	et	et	PROPN
fbem-12038	90	11	al	al	PROPN
fbem-12038	90	12	,	,	PUNCT
fbem-12038	90	13	“	"	PUNCT
fbem-12038	90	14	the	the	DET
fbem-12038	90	15	accuracy	accuracy	NOUN
fbem-12038	90	16	comparison	comparison	NOUN
fbem-12038	90	17	among	among	ADP
fbem-12038	90	18	word2vec	word2vec	PROPN
fbem-12038	90	19	,	,	PUNCT
fbem-12038	90	20	glove	glove	NOUN
fbem-12038	90	21	,	,	PUNCT
fbem-12038	90	22	and	and	CCONJ
fbem-12038	90	23	fasttext	fasttext	NOUN
fbem-12038	90	24	towards	towards	ADP
fbem-12038	90	25	convolution	convolution	NOUN
fbem-12038	90	26	neural	neural	ADJ
fbem-12038	90	27	network	network	NOUN
fbem-12038	90	28	(	(	PUNCT
fbem-12038	90	29	cnn	cnn	PROPN
fbem-12038	90	30	)	)	PUNCT
fbem-12038	90	31	text	text	NOUN
fbem-12038	90	32	classification	classification	NOUN
fbem-12038	90	33	,	,	PUNCT
fbem-12038	90	34	”	"	PUNCT
fbem-12038	90	35	j	j	PROPN
fbem-12038	90	36	theor	theor	PROPN
fbem-12038	90	37	appl	appl	PROPN
fbem-12038	90	38	inf	inf	PROPN
fbem-12038	90	39	technol	technol	NOUN
fbem-12038	90	40	,	,	PUNCT
fbem-12038	90	41	vol	vol	NOUN
fbem-12038	90	42	.	.	NOUN
fbem-12038	90	43	100	100	NUM
fbem-12038	90	44	,	,	PUNCT
fbem-12038	90	45	no	no	INTJ
fbem-12038	90	46	.	.	NOUN
fbem-12038	90	47	2	2	NUM
fbem-12038	90	48	,	,	PUNCT
fbem-12038	90	49	pp	pp	ADJ
fbem-12038	90	50	.	.	PUNCT
fbem-12038	90	51	31	31	NUM
fbem-12038	90	52	,	,	PUNCT
fbem-12038	90	53	jan	jan	NOUN
fbem-12038	90	54	2022	2022	NUM
fbem-12038	90	55	.	.	PUNCT
fbem-12038	91	1	[	[	X
fbem-12038	91	2	2	2	NUM
fbem-12038	91	3	]	]	X
fbem-12038	91	4	zhu	zhu	PROPN
fbem-12038	91	5	,	,	PUNCT
fbem-12038	91	6	jun	jun	PROPN
fbem-12038	91	7	-	-	PUNCT
fbem-12038	91	8	jie	jie	PROPN
fbem-12038	91	9	,	,	PUNCT
fbem-12038	91	10	zhiyong	zhiyong	PROPN
fbem-12038	91	11	jason	jason	PROPN
fbem-12038	91	12	ren	ren	PROPN
fbem-12038	91	13	,	,	PUNCT
fbem-12038	91	14	"	"	PUNCT
fbem-12038	91	15	the	the	DET
fbem-12038	91	16	evolution	evolution	NOUN
fbem-12038	91	17	of	of	ADP
fbem-12038	91	18	research	research	NOUN
fbem-12038	91	19	in	in	ADP
fbem-12038	91	20	resources	resource	NOUN
fbem-12038	91	21	,	,	PUNCT
fbem-12038	91	22	conservation	conservation	NOUN
fbem-12038	91	23	&	&	CCONJ
fbem-12038	91	24	recycling	recycling	NOUN
fbem-12038	91	25	revealed	reveal	VERB
fbem-12038	91	26	by	by	ADP
fbem-12038	91	27	word2vecenhanced	word2vecenhance	VERB
fbem-12038	91	28	data	datum	NOUN
fbem-12038	91	29	mining	mining	NOUN
fbem-12038	91	30	.	.	PUNCT
fbem-12038	91	31	"	"	PUNCT
fbem-12038	91	32	resources	resource	NOUN
fbem-12038	91	33	,	,	PUNCT
fbem-12038	91	34	conservation	conservation	NOUN
fbem-12038	91	35	and	and	CCONJ
fbem-12038	91	36	recycling	recycling	NOUN
fbem-12038	91	37	,	,	PUNCT
fbem-12038	91	38	vol	vol	NOUN
fbem-12038	91	39	.	.	PROPN
fbem-12038	91	40	190	190	NUM
fbem-12038	91	41	,	,	PUNCT
fbem-12038	91	42	pp	pp	ADJ
fbem-12038	91	43	.	.	PUNCT
fbem-12038	91	44	106876	106876	NUM
fbem-12038	91	45	,	,	PUNCT
fbem-12038	91	46	2023	2023	NUM
fbem-12038	91	47	.	.	PUNCT
fbem-12038	92	1	[	[	X
fbem-12038	92	2	3	3	NUM
fbem-12038	92	3	]	]	PUNCT
fbem-12038	92	4	styawati	styawati	NOUN
fbem-12038	92	5	,	,	PUNCT
fbem-12038	92	6	styawati	styawati	NOUN
fbem-12038	92	7	,	,	PUNCT
fbem-12038	92	8	andi	andi	PROPN
fbem-12038	92	9	nurkholis	nurkholis	PROPN
fbem-12038	92	10	,	,	PUNCT
fbem-12038	92	11	ahmad	ahmad	PROPN
fbem-12038	92	12	ari	ari	PROPN
fbem-12038	92	13	aldino	aldino	PROPN
fbem-12038	92	14	,	,	PUNCT
fbem-12038	92	15	selamet	selamet	PROPN
fbem-12038	92	16	samsugi	samsugi	PROPN
fbem-12038	92	17	,	,	PUNCT
fbem-12038	92	18	emi	emi	PROPN
fbem-12038	92	19	suryati	suryati	PROPN
fbem-12038	92	20	,	,	PUNCT
fbem-12038	92	21	and	and	CCONJ
fbem-12038	92	22	ryan	ryan	PROPN
fbem-12038	92	23	puji	puji	PROPN
fbem-12038	92	24	cahyono	cahyono	PROPN
fbem-12038	92	25	.	.	PUNCT
fbem-12038	93	1	"	"	PUNCT
fbem-12038	93	2	sentiment	sentiment	VERB
fbem-12038	93	3	analysis	analysis	NOUN
fbem-12038	93	4	on	on	ADP
fbem-12038	93	5	online	online	ADJ
fbem-12038	93	6	transportation	transportation	NOUN
fbem-12038	93	7	reviews	review	NOUN
fbem-12038	93	8	using	use	VERB
fbem-12038	93	9	word2vec	word2vec	PROPN
fbem-12038	93	10	text	text	NOUN
fbem-12038	93	11	embedding	embed	VERB
fbem-12038	93	12	model	model	NOUN
fbem-12038	93	13	feature	feature	NOUN
fbem-12038	93	14	extraction	extraction	NOUN
fbem-12038	93	15	and	and	CCONJ
fbem-12038	93	16	support	support	NOUN
fbem-12038	93	17	vector	vector	NOUN
fbem-12038	93	18	machine	machine	NOUN
fbem-12038	93	19	(	(	PUNCT
fbem-12038	93	20	svm	svm	ADJ
fbem-12038	93	21	)	)	PUNCT
fbem-12038	93	22	algorithm	algorithm	NOUN
fbem-12038	93	23	.	.	PUNCT
fbem-12038	93	24	"	"	PUNCT
fbem-12038	94	1	in	in	ADP
fbem-12038	94	2	2021	2021	NUM
fbem-12038	94	3	international	international	ADJ
fbem-12038	94	4	seminar	seminar	NOUN
fbem-12038	94	5	on	on	ADP
fbem-12038	94	6	machine	machine	NOUN
fbem-12038	94	7	learning	learning	NOUN
fbem-12038	94	8	,	,	PUNCT
fbem-12038	94	9	optimization	optimization	NOUN
fbem-12038	94	10	,	,	PUNCT
fbem-12038	94	11	and	and	CCONJ
fbem-12038	94	12	data	datum	NOUN
fbem-12038	94	13	science	science	NOUN
fbem-12038	94	14	(	(	PUNCT
fbem-12038	94	15	ismode	ismode	NOUN
fbem-12038	94	16	)	)	PUNCT
fbem-12038	94	17	,	,	PUNCT
fbem-12038	94	18	pp	pp	PROPN
fbem-12038	94	19	.	.	PUNCT
fbem-12038	95	1	163	163	NUM
fbem-12038	95	2	-	-	SYM
fbem-12038	95	3	167	167	NUM
fbem-12038	95	4	.	.	PUNCT
fbem-12038	96	1	ieee	ieee	NOUN
fbem-12038	96	2	,	,	PUNCT
fbem-12038	96	3	2022	2022	NUM
fbem-12038	96	4	.	.	PUNCT
fbem-12038	97	1	[	[	X
fbem-12038	97	2	4	4	NUM
fbem-12038	97	3	]	]	SYM
fbem-12038	97	4	ma	ma	PROPN
fbem-12038	97	5	,	,	PUNCT
fbem-12038	97	6	jian	jian	PROPN
fbem-12038	97	7	,	,	PUNCT
fbem-12038	97	8	et	et	PROPN
fbem-12038	97	9	al	al	PROPN
fbem-12038	97	10	.	.	PUNCT
fbem-12038	98	1	"	"	PUNCT
fbem-12038	98	2	an	an	DET
fbem-12038	98	3	integrated	integrated	ADJ
fbem-12038	98	4	latent	latent	NOUN
fbem-12038	98	5	dirichlet	dirichlet	NOUN
fbem-12038	98	6	allocation	allocation	NOUN
fbem-12038	98	7	and	and	CCONJ
fbem-12038	98	8	word2vec	word2vec	X
fbem-12038	98	9	method	method	NOUN
fbem-12038	98	10	for	for	ADP
fbem-12038	98	11	generating	generate	VERB
fbem-12038	98	12	the	the	DET
fbem-12038	98	13	topic	topic	NOUN
fbem-12038	98	14	evolution	evolution	NOUN
fbem-12038	98	15	of	of	ADP
fbem-12038	98	16	mental	mental	ADJ
fbem-12038	98	17	models	model	NOUN
fbem-12038	98	18	from	from	ADP
fbem-12038	98	19	global	global	ADJ
fbem-12038	98	20	to	to	ADP
fbem-12038	98	21	local	local	ADJ
fbem-12038	98	22	,	,	PUNCT
fbem-12038	98	23	"	"	PUNCT
fbem-12038	98	24	expert	expert	NOUN
fbem-12038	98	25	systems	system	NOUN
fbem-12038	98	26	with	with	ADP
fbem-12038	98	27	applications	application	NOUN
fbem-12038	98	28	,	,	PUNCT
fbem-12038	98	29	vol	vol	NOUN
fbem-12038	98	30	.	.	PROPN
fbem-12038	98	31	212	212	NUM
fbem-12038	98	32	,	,	PUNCT
fbem-12038	98	33	pp	pp	ADJ
fbem-12038	98	34	.	.	PUNCT
fbem-12038	98	35	118695	118695	NUM
fbem-12038	98	36	,	,	PUNCT
fbem-12038	98	37	2023	2023	NUM
fbem-12038	98	38	.	.	PUNCT
fbem-12038	99	1	[	[	X
fbem-12038	99	2	5	5	X
fbem-12038	99	3	]	]	X
fbem-12038	99	4	y.	y.	PROPN
fbem-12038	99	5	gao	gao	PROPN
fbem-12038	99	6	,	,	PUNCT
fbem-12038	99	7	"	"	PUNCT
fbem-12038	99	8	research	research	NOUN
fbem-12038	99	9	and	and	CCONJ
fbem-12038	99	10	application	application	NOUN
fbem-12038	99	11	of	of	ADP
fbem-12038	99	12	emotional	emotional	ADJ
fbem-12038	99	13	analysis	analysis	NOUN
fbem-12038	99	14	based	base	VERB
fbem-12038	99	15	on	on	ADP
fbem-12038	99	16	word2vec	word2vec	X
fbem-12038	99	17	method	method	NOUN
fbem-12038	99	18	(	(	PUNCT
fbem-12038	99	19	master	master	NOUN
fbem-12038	99	20	's	's	PART
fbem-12038	99	21	thesis	thesis	NOUN
fbem-12038	99	22	,	,	PUNCT
fbem-12038	99	23	"	"	PUNCT
fbem-12038	99	24	xiamen	xiamen	PROPN
fbem-12038	99	25	university	university	PROPN
fbem-12038	99	26	,	,	PUNCT
fbem-12038	99	27	2019	2019	NUM
fbem-12038	99	28	.	.	PUNCT
fbem-12038	100	1	[	[	X
fbem-12038	100	2	6	6	NUM
fbem-12038	100	3	]	]	PUNCT
fbem-12038	100	4	m.	m.	NOUN
fbem-12038	100	5	zhou	zhou	PROPN
fbem-12038	100	6	,	,	PUNCT
fbem-12038	100	7	"	"	PUNCT
fbem-12038	100	8	application	application	NOUN
fbem-12038	100	9	of	of	ADP
fbem-12038	100	10	sentiment	sentiment	NOUN
fbem-12038	100	11	analysis	analysis	NOUN
fbem-12038	100	12	based	base	VERB
fbem-12038	100	13	on	on	ADP
fbem-12038	100	14	lstm	lstm	NOUN
fbem-12038	100	15	and	and	CCONJ
fbem-12038	100	16	word2vec	word2vec	AUX
fbem-12038	100	17	in	in	ADP
fbem-12038	100	18	product	product	NOUN
fbem-12038	100	19	reviews	review	NOUN
fbem-12038	100	20	,	,	PUNCT
fbem-12038	100	21	"	"	PUNCT
fbem-12038	100	22	statistics	statistic	NOUN
fbem-12038	100	23	and	and	CCONJ
fbem-12038	100	24	management	management	NOUN
fbem-12038	100	25	,	,	PUNCT
fbem-12038	100	26	vol	vol	NOUN
fbem-12038	100	27	.	.	PROPN
fbem-12038	100	28	12	12	NUM
fbem-12038	100	29	,	,	PUNCT
fbem-12038	100	30	pp.81	pp.81	NOUN
fbem-12038	100	31	-	-	PUNCT
fbem-12038	100	32	84	84	NUM
fbem-12038	100	33	,	,	PUNCT
fbem-12038	100	34	2019	2019	NUM
fbem-12038	100	35	.	.	PUNCT
fbem-12038	101	1	[	[	X
fbem-12038	101	2	7	7	X
fbem-12038	101	3	]	]	PUNCT
fbem-12038	101	4	x.	x.	NOUN
fbem-12038	101	5	yan	yan	PROPN
fbem-12038	101	6	,	,	PUNCT
fbem-12038	101	7	"	"	PUNCT
fbem-12038	101	8	a	a	DET
fbem-12038	101	9	study	study	NOUN
fbem-12038	101	10	on	on	ADP
fbem-12038	101	11	emotional	emotional	ADJ
fbem-12038	101	12	analysis	analysis	NOUN
fbem-12038	101	13	of	of	ADP
fbem-12038	101	14	weibo	weibo	PROPN
fbem-12038	101	15	stock	stock	NOUN
fbem-12038	101	16	review	review	NOUN
fbem-12038	101	17	text	text	NOUN
fbem-12038	101	18	based	base	VERB
fbem-12038	101	19	on	on	ADP
fbem-12038	101	20	word2vec	word2vec	X
fbem-12038	101	21	and	and	CCONJ
fbem-12038	101	22	lstm	lstm	ADJ
fbem-12038	101	23	,	,	PUNCT
fbem-12038	101	24	"	"	PUNCT
fbem-12038	101	25	nanjing	nanjing	PROPN
fbem-12038	101	26	university	university	PROPN
fbem-12038	101	27	,	,	PUNCT
fbem-12038	101	28	2018	2018	NUM
fbem-12038	101	29	.	.	PUNCT
fbem-12038	102	1	[	[	X
fbem-12038	102	2	8	8	NUM
fbem-12038	102	3	]	]	PUNCT
fbem-12038	102	4	x.	x.	PROPN
fbem-12038	102	5	b.	b.	PROPN
fbem-12038	102	6	peng	peng	PROPN
fbem-12038	102	7	,	,	PUNCT
fbem-12038	102	8	"	"	PUNCT
fbem-12038	102	9	research	research	NOUN
fbem-12038	102	10	on	on	ADP
fbem-12038	102	11	text	text	NOUN
fbem-12038	102	12	emotion	emotion	NOUN
fbem-12038	102	13	analysis	analysis	NOUN
fbem-12038	102	14	method	method	NOUN
fbem-12038	102	15	based	base	VERB
fbem-12038	102	16	on	on	ADP
fbem-12038	102	17	word2vec	word2vec	ADJ
fbem-12038	102	18	,	,	PUNCT
fbem-12038	102	19	"	"	PUNCT
fbem-12038	102	20	network	network	NOUN
fbem-12038	102	21	security	security	NOUN
fbem-12038	102	22	technology	technology	NOUN
fbem-12038	102	23	and	and	CCONJ
fbem-12038	102	24	application	application	NOUN
fbem-12038	102	25	,	,	PUNCT
fbem-12038	102	26	vol	vol	NOUN
fbem-12038	102	27	.	.	PROPN
fbem-12038	102	28	07	07	NUM
fbem-12038	102	29	,	,	PUNCT
fbem-12038	102	30	pp.58	pp.58	NOUN
fbem-12038	102	31	-	-	SYM
fbem-12038	102	32	59	59	NUM
fbem-12038	102	33	,	,	PUNCT
fbem-12038	102	34	2016	2016	NUM
fbem-12038	102	35	.	.	PUNCT
fbem-12038	103	1	[	[	X
fbem-12038	103	2	9	9	NUM
fbem-12038	103	3	]	]	PUNCT
fbem-12038	103	4	m.	m.	PROPN
fbem-12038	103	5	b.	b.	PROPN
fbem-12038	103	6	li	li	PROPN
fbem-12038	103	7	,	,	PUNCT
fbem-12038	103	8	w.	w.	PROPN
fbem-12038	103	9	wang	wang	PROPN
fbem-12038	103	10	,	,	PUNCT
fbem-12038	103	11	c.	c.	PROPN
fbem-12038	103	12	c.	c.	PROPN
fbem-12038	103	13	wang	wang	PROPN
fbem-12038	103	14	,	,	PUNCT
fbem-12038	103	15	"	"	PUNCT
fbem-12038	103	16	exploring	explore	VERB
fbem-12038	103	17	the	the	DET
fbem-12038	103	18	emotional	emotional	ADJ
fbem-12038	103	19	analysis	analysis	NOUN
fbem-12038	103	20	method	method	NOUN
fbem-12038	103	21	for	for	ADP
fbem-12038	103	22	online	online	ADJ
fbem-12038	103	23	teaching	teaching	NOUN
fbem-12038	103	24	evaluation	evaluation	NOUN
fbem-12038	103	25	in	in	ADP
fbem-12038	103	26	higher	high	ADJ
fbem-12038	103	27	vocational	vocational	ADJ
fbem-12038	103	28	education	education	NOUN
fbem-12038	103	29	based	base	VERB
fbem-12038	103	30	on	on	ADP
fbem-12038	103	31	word2vec	word2vec	X
fbem-12038	103	32	and	and	CCONJ
fbem-12038	103	33	bi	bi	PROPN
fbem-12038	103	34	gru	gru	PROPN
fbem-12038	103	35	,	,	PUNCT
fbem-12038	103	36	"	"	PUNCT
fbem-12038	103	37	journal	journal	NOUN
fbem-12038	103	38	of	of	ADP
fbem-12038	103	39	guangdong	guangdong	PROPN
fbem-12038	103	40	water	water	PROPN
fbem-12038	103	41	resources	resource	NOUN
fbem-12038	103	42	and	and	CCONJ
fbem-12038	103	43	electric	electric	ADJ
fbem-12038	103	44	power	power	NOUN
fbem-12038	103	45	vocational	vocational	ADJ
fbem-12038	103	46	and	and	CCONJ
fbem-12038	103	47	technical	technical	PROPN
fbem-12038	103	48	college	college	NOUN
fbem-12038	103	49	,	,	PUNCT
fbem-12038	103	50	vol	vol	NOUN
fbem-12038	103	51	.	.	PROPN
fbem-12038	103	52	21	21	NUM
fbem-12038	103	53	,	,	PUNCT
fbem-12038	103	54	no	no	INTJ
fbem-12038	103	55	.	.	NOUN
fbem-12038	103	56	03	03	NUM
fbem-12038	103	57	,	,	PUNCT
fbem-12038	103	58	pp	pp	ADJ
fbem-12038	103	59	.	.	PUNCT
fbem-12038	104	1	58	58	NUM
fbem-12038	104	2	-	-	SYM
fbem-12038	104	3	59	59	NUM
fbem-12038	104	4	,	,	PUNCT
fbem-12038	104	5	2023	2023	NUM
fbem-12038	104	6	.	.	PUNCT
fbem-12038	105	1	[	[	X
fbem-12038	105	2	10	10	NUM
fbem-12038	105	3	]	]	X
fbem-12038	105	4	y.	y.	PROPN
fbem-12038	105	5	z.	z.	PROPN
fbem-12038	105	6	wang	wang	PROPN
fbem-12038	105	7	,	,	PUNCT
fbem-12038	105	8	t.	t.	PROPN
fbem-12038	105	9	wang	wang	PROPN
fbem-12038	105	10	,	,	PUNCT
fbem-12038	105	11	"	"	PUNCT
fbem-12038	105	12	research	research	NOUN
fbem-12038	105	13	on	on	ADP
fbem-12038	105	14	emotional	emotional	ADJ
fbem-12038	105	15	analysis	analysis	NOUN
fbem-12038	105	16	method	method	NOUN
fbem-12038	105	17	based	base	VERB
fbem-12038	105	18	on	on	ADP
fbem-12038	105	19	weighted	weight	VERB
fbem-12038	105	20	word2vec	word2vec	PROPN
fbem-12038	105	21	xgboost	xgboost	PROPN
fbem-12038	105	22	,	,	PUNCT
fbem-12038	105	23	"	"	PUNCT
fbem-12038	105	24	journal	journal	NOUN
fbem-12038	105	25	of	of	ADP
fbem-12038	105	26	chongqing	chongqing	PROPN
fbem-12038	105	27	university	university	PROPN
fbem-12038	105	28	of	of	ADP
fbem-12038	105	29	science	science	NOUN
fbem-12038	105	30	and	and	CCONJ
fbem-12038	105	31	technology	technology	NOUN
fbem-12038	105	32	(	(	PUNCT
fbem-12038	105	33	natural	natural	ADJ
fbem-12038	105	34	science	science	NOUN
fbem-12038	105	35	edition	edition	NOUN
fbem-12038	105	36	)	)	PUNCT
fbem-12038	105	37	,	,	PUNCT
fbem-12038	105	38	vol	vol	NOUN
fbem-12038	105	39	.	.	PROPN
fbem-12038	105	40	25	25	NUM
fbem-12038	105	41	,	,	PUNCT
fbem-12038	105	42	no	no	INTJ
fbem-12038	105	43	.	.	NOUN
fbem-12038	105	44	03	03	NUM
fbem-12038	105	45	,	,	PUNCT
fbem-12038	105	46	pp	pp	ADJ
fbem-12038	105	47	.	.	PUNCT
fbem-12038	106	1	62	62	NUM
fbem-12038	106	2	-	-	SYM
fbem-12038	106	3	66	66	NUM
fbem-12038	106	4	,	,	PUNCT
fbem-12038	106	5	2023	2023	NUM
fbem-12038	106	6	.	.	PUNCT
fbem-12038	107	1	[	[	X
fbem-12038	107	2	11	11	NUM
fbem-12038	107	3	]	]	PUNCT
fbem-12038	107	4	m.	m.	NOUN
fbem-12038	107	5	zhou	zhou	PROPN
fbem-12038	107	6	,	,	PUNCT
fbem-12038	107	7	"	"	PUNCT
fbem-12038	107	8	application	application	NOUN
fbem-12038	107	9	of	of	ADP
fbem-12038	107	10	sentiment	sentiment	NOUN
fbem-12038	107	11	analysis	analysis	NOUN
fbem-12038	107	12	based	base	VERB
fbem-12038	107	13	on	on	ADP
fbem-12038	107	14	lstm	lstm	NOUN
fbem-12038	107	15	and	and	CCONJ
fbem-12038	107	16	word2vec	word2vec	AUX
fbem-12038	107	17	in	in	ADP
fbem-12038	107	18	product	product	NOUN
fbem-12038	107	19	reviews	review	NOUN
fbem-12038	107	20	,	,	PUNCT
fbem-12038	107	21	"	"	PUNCT
fbem-12038	107	22	statistics	statistic	NOUN
fbem-12038	107	23	and	and	CCONJ
fbem-12038	107	24	management	management	NOUN
fbem-12038	107	25	,	,	PUNCT
fbem-12038	107	26	vol	vol	NOUN
fbem-12038	107	27	.	.	PROPN
fbem-12038	107	28	12	12	NUM
fbem-12038	107	29	,	,	PUNCT
fbem-12038	107	30	pp	pp	ADJ
fbem-12038	107	31	.	.	PUNCT
fbem-12038	108	1	81	81	NUM
fbem-12038	108	2	-	-	SYM
fbem-12038	108	3	84	84	NUM
fbem-12038	108	4	,	,	PUNCT
fbem-12038	108	5	2019	2019	NUM
fbem-12038	108	6	.	.	PUNCT