id	sid	tid	token	lemma	pos
ijassa-1381	1	1	adv	adv	PROPN
ijassa-1381	1	2	syst	syst	PROPN
ijassa-1381	1	3	sci	sci	PROPN
ijassa-1381	1	4	appl	appl	PROPN
ijassa-1381	1	5	2023	2023	NUM
ijassa-1381	1	6	;	;	PUNCT
ijassa-1381	1	7	03:108–126	03:108–126	NOUN
ijassa-1381	1	8	published	publish	VERB
ijassa-1381	1	9	online	online	ADV
ijassa-1381	1	10	at	at	ADP
ijassa-1381	1	11	https://ijassa.ipu.ru	https://ijassa.ipu.ru	ADV
ijassa-1381	1	12	.	.	PUNCT
ijassa-1381	2	1	exploratory	exploratory	ADJ
ijassa-1381	2	2	data	datum	NOUN
ijassa-1381	2	3	analysis	analysis	NOUN
ijassa-1381	2	4	and	and	CCONJ
ijassa-1381	2	5	natural	natural	ADJ
ijassa-1381	2	6	language	language	NOUN
ijassa-1381	2	7	processing	processing	NOUN
ijassa-1381	2	8	model	model	NOUN
ijassa-1381	2	9	for	for	ADP
ijassa-1381	2	10	analysis	analysis	NOUN
ijassa-1381	2	11	and	and	CCONJ
ijassa-1381	2	12	identification	identification	NOUN
ijassa-1381	2	13	of	of	ADP
ijassa-1381	2	14	the	the	DET
ijassa-1381	2	15	dynamics	dynamic	NOUN
ijassa-1381	2	16	of	of	ADP
ijassa-1381	2	17	covid-19	covid-19	PROPN
ijassa-1381	2	18	vaccine	vaccine	NOUN
ijassa-1381	2	19	opinions	opinion	NOUN
ijassa-1381	2	20	on	on	ADP
ijassa-1381	2	21	small	small	ADJ
ijassa-1381	2	22	datasets	dataset	NOUN
ijassa-1381	2	23	alexander	alexander	NOUN
ijassa-1381	2	24	chkhartishvili1	chkhartishvili1	PROPN
ijassa-1381	2	25	,	,	PUNCT
ijassa-1381	2	26	dmitry	dmitry	PROPN
ijassa-1381	2	27	gubanov2	gubanov2	PROPN
ijassa-1381	2	28	,	,	PUNCT
ijassa-1381	2	29	vladislav	vladislav	NOUN
ijassa-1381	2	30	melnichuk3,4	melnichuk3,4	PROPN
ijassa-1381	2	31	*	*	PROPN
ijassa-1381	2	32	,	,	PUNCT
ijassa-1381	2	33	vladislav	vladislav	ADJ
ijassa-1381	2	34	sych3	sych3	NOUN
ijassa-1381	2	35	1laboratory	1laboratory	NUM
ijassa-1381	2	36	no	no	NOUN
ijassa-1381	2	37	.	.	PROPN
ijassa-1381	2	38	57	57	NUM
ijassa-1381	2	39	,	,	PUNCT
ijassa-1381	2	40	v.a	v.a	PROPN
ijassa-1381	2	41	.	.	PROPN
ijassa-1381	2	42	trapeznikov	trapeznikov	PROPN
ijassa-1381	2	43	institute	institute	PROPN
ijassa-1381	2	44	of	of	ADP
ijassa-1381	2	45	control	control	PROPN
ijassa-1381	2	46	sciences	sciences	PROPN
ijassa-1381	2	47	of	of	ADP
ijassa-1381	2	48	russian	russian	ADJ
ijassa-1381	2	49	academy	academy	PROPN
ijassa-1381	2	50	of	of	ADP
ijassa-1381	2	51	sciences	sciences	PROPN
ijassa-1381	2	52	,	,	PUNCT
ijassa-1381	2	53	moscow	moscow	PROPN
ijassa-1381	2	54	,	,	PUNCT
ijassa-1381	2	55	russia	russia	PROPN
ijassa-1381	2	56	2laboratory	2laboratory	NUM
ijassa-1381	2	57	no	no	NOUN
ijassa-1381	2	58	.	.	PROPN
ijassa-1381	2	59	11	11	NUM
ijassa-1381	2	60	,	,	PUNCT
ijassa-1381	2	61	v.a	v.a	PROPN
ijassa-1381	2	62	.	.	PROPN
ijassa-1381	2	63	trapeznikov	trapeznikov	PROPN
ijassa-1381	2	64	institute	institute	PROPN
ijassa-1381	2	65	of	of	ADP
ijassa-1381	2	66	control	control	PROPN
ijassa-1381	2	67	sciences	sciences	PROPN
ijassa-1381	2	68	of	of	ADP
ijassa-1381	2	69	russian	russian	ADJ
ijassa-1381	2	70	academy	academy	PROPN
ijassa-1381	2	71	of	of	ADP
ijassa-1381	2	72	sciences	sciences	PROPN
ijassa-1381	2	73	,	,	PUNCT
ijassa-1381	2	74	moscow	moscow	PROPN
ijassa-1381	2	75	,	,	PUNCT
ijassa-1381	2	76	russia	russia	PROPN
ijassa-1381	2	77	3department	3department	NUM
ijassa-1381	2	78	of	of	ADP
ijassa-1381	2	79	applied	apply	VERB
ijassa-1381	2	80	mathematics	mathematic	NOUN
ijassa-1381	2	81	,	,	PUNCT
ijassa-1381	2	82	faculty	faculty	NOUN
ijassa-1381	2	83	of	of	ADP
ijassa-1381	2	84	fundamental	fundamental	ADJ
ijassa-1381	2	85	sciences	science	NOUN
ijassa-1381	2	86	,	,	PUNCT
ijassa-1381	2	87	bauman	bauman	PROPN
ijassa-1381	2	88	moscow	moscow	PROPN
ijassa-1381	2	89	state	state	PROPN
ijassa-1381	2	90	technical	technical	PROPN
ijassa-1381	2	91	university	university	PROPN
ijassa-1381	2	92	,	,	PUNCT
ijassa-1381	2	93	moscow	moscow	PROPN
ijassa-1381	2	94	,	,	PUNCT
ijassa-1381	2	95	russia	russia	PROPN
ijassa-1381	2	96	4machine	4machine	NUM
ijassa-1381	2	97	learning	learning	NOUN
ijassa-1381	2	98	track	track	NOUN
ijassa-1381	2	99	,	,	PUNCT
ijassa-1381	2	100	technopark	technopark	PROPN
ijassa-1381	2	101	vk	vk	PROPN
ijassa-1381	2	102	education	education	NOUN
ijassa-1381	2	103	,	,	PUNCT
ijassa-1381	2	104	moscow	moscow	PROPN
ijassa-1381	2	105	,	,	PUNCT
ijassa-1381	2	106	russia	russia	PROPN
ijassa-1381	2	107	abstract	abstract	NOUN
ijassa-1381	2	108	:	:	PUNCT
ijassa-1381	2	109	in	in	ADP
ijassa-1381	2	110	this	this	DET
ijassa-1381	2	111	study	study	NOUN
ijassa-1381	2	112	,	,	PUNCT
ijassa-1381	2	113	the	the	DET
ijassa-1381	2	114	successful	successful	ADJ
ijassa-1381	2	115	implementation	implementation	NOUN
ijassa-1381	2	116	of	of	ADP
ijassa-1381	2	117	an	an	DET
ijassa-1381	2	118	active	active	ADJ
ijassa-1381	2	119	learning	learn	VERB
ijassa-1381	2	120	algorithm	algorithm	NOUN
ijassa-1381	2	121	on	on	ADP
ijassa-1381	2	122	small	small	ADJ
ijassa-1381	2	123	-	-	PUNCT
ijassa-1381	2	124	scale	scale	NOUN
ijassa-1381	2	125	datasets	dataset	NOUN
ijassa-1381	2	126	is	be	AUX
ijassa-1381	2	127	demonstrated	demonstrate	VERB
ijassa-1381	2	128	.	.	PUNCT
ijassa-1381	3	1	the	the	DET
ijassa-1381	3	2	study	study	NOUN
ijassa-1381	3	3	also	also	ADV
ijassa-1381	3	4	examines	examine	VERB
ijassa-1381	3	5	the	the	DET
ijassa-1381	3	6	dynamics	dynamic	NOUN
ijassa-1381	3	7	of	of	ADP
ijassa-1381	3	8	public	public	ADJ
ijassa-1381	3	9	opinions	opinion	NOUN
ijassa-1381	3	10	on	on	ADP
ijassa-1381	3	11	covid-19	covid-19	PROPN
ijassa-1381	3	12	vaccinations	vaccination	NOUN
ijassa-1381	3	13	using	use	VERB
ijassa-1381	3	14	vk	vk	X
ijassa-1381	3	15	(	(	PUNCT
ijassa-1381	3	16	social	social	ADJ
ijassa-1381	3	17	network	network	NOUN
ijassa-1381	3	18	)	)	PUNCT
ijassa-1381	3	19	commentaries	commentary	NOUN
ijassa-1381	3	20	related	relate	VERB
ijassa-1381	3	21	to	to	ADP
ijassa-1381	3	22	the	the	DET
ijassa-1381	3	23	covid19	covid19	NOUN
ijassa-1381	3	24	vaccine	vaccine	NOUN
ijassa-1381	3	25	and	and	CCONJ
ijassa-1381	3	26	masks	mask	NOUN
ijassa-1381	3	27	for	for	ADP
ijassa-1381	3	28	opinion	opinion	NOUN
ijassa-1381	3	29	evaluation	evaluation	NOUN
ijassa-1381	3	30	.	.	PUNCT
ijassa-1381	4	1	the	the	DET
ijassa-1381	4	2	proposed	propose	VERB
ijassa-1381	4	3	methodology	methodology	NOUN
ijassa-1381	4	4	includes	include	VERB
ijassa-1381	4	5	several	several	ADJ
ijassa-1381	4	6	stages	stage	NOUN
ijassa-1381	4	7	such	such	ADJ
ijassa-1381	4	8	as	as	ADP
ijassa-1381	4	9	natural	natural	ADJ
ijassa-1381	4	10	language	language	NOUN
ijassa-1381	4	11	processing	processing	NOUN
ijassa-1381	4	12	,	,	PUNCT
ijassa-1381	4	13	classification	classification	NOUN
ijassa-1381	4	14	with	with	ADP
ijassa-1381	4	15	active	active	ADJ
ijassa-1381	4	16	learning	learning	NOUN
ijassa-1381	4	17	,	,	PUNCT
ijassa-1381	4	18	exploratory	exploratory	ADJ
ijassa-1381	4	19	data	datum	NOUN
ijassa-1381	4	20	analysis	analysis	NOUN
ijassa-1381	4	21	,	,	PUNCT
ijassa-1381	4	22	and	and	CCONJ
ijassa-1381	4	23	opinion	opinion	NOUN
ijassa-1381	4	24	dynamics	dynamic	NOUN
ijassa-1381	4	25	.	.	PUNCT
ijassa-1381	5	1	natural	natural	ADJ
ijassa-1381	5	2	language	language	NOUN
ijassa-1381	5	3	processing	processing	NOUN
ijassa-1381	5	4	is	be	AUX
ijassa-1381	5	5	used	use	VERB
ijassa-1381	5	6	for	for	ADP
ijassa-1381	5	7	text	text	NOUN
ijassa-1381	5	8	preprocessing	preprocessing	NOUN
ijassa-1381	5	9	,	,	PUNCT
ijassa-1381	5	10	tokenization	tokenization	NOUN
ijassa-1381	5	11	,	,	PUNCT
ijassa-1381	5	12	and	and	CCONJ
ijassa-1381	5	13	feature	feature	NOUN
ijassa-1381	5	14	extraction	extraction	NOUN
ijassa-1381	5	15	.	.	PUNCT
ijassa-1381	6	1	a	a	DET
ijassa-1381	6	2	machine	machine	NOUN
ijassa-1381	6	3	learning	learn	VERB
ijassa-1381	6	4	model	model	NOUN
ijassa-1381	6	5	with	with	ADP
ijassa-1381	6	6	active	active	ADJ
ijassa-1381	6	7	learning	learning	NOUN
ijassa-1381	6	8	is	be	AUX
ijassa-1381	6	9	employed	employ	VERB
ijassa-1381	6	10	to	to	PART
ijassa-1381	6	11	identify	identify	VERB
ijassa-1381	6	12	opinions	opinion	NOUN
ijassa-1381	6	13	as	as	ADP
ijassa-1381	6	14	positive	positive	ADJ
ijassa-1381	6	15	,	,	PUNCT
ijassa-1381	6	16	negative	negative	ADJ
ijassa-1381	6	17	,	,	PUNCT
ijassa-1381	6	18	or	or	CCONJ
ijassa-1381	6	19	neutral	neutral	ADJ
ijassa-1381	6	20	/	/	SYM
ijassa-1381	6	21	unknown	unknown	ADJ
ijassa-1381	6	22	.	.	PUNCT
ijassa-1381	7	1	the	the	DET
ijassa-1381	7	2	model	model	NOUN
ijassa-1381	7	3	includes	include	VERB
ijassa-1381	7	4	classical	classical	ADJ
ijassa-1381	7	5	machine	machine	NOUN
ijassa-1381	7	6	learning	learning	NOUN
ijassa-1381	7	7	,	,	PUNCT
ijassa-1381	7	8	machine	machine	NOUN
ijassa-1381	7	9	learning	learning	NOUN
ijassa-1381	7	10	and	and	CCONJ
ijassa-1381	7	11	deep	deep	ADJ
ijassa-1381	7	12	learning	learning	NOUN
ijassa-1381	7	13	models	model	NOUN
ijassa-1381	7	14	.	.	PUNCT
ijassa-1381	8	1	the	the	DET
ijassa-1381	8	2	results	result	NOUN
ijassa-1381	8	3	show	show	VERB
ijassa-1381	8	4	that	that	SCONJ
ijassa-1381	8	5	the	the	DET
ijassa-1381	8	6	highest	high	ADJ
ijassa-1381	8	7	classification	classification	NOUN
ijassa-1381	8	8	accuracy	accuracy	NOUN
ijassa-1381	8	9	is	be	AUX
ijassa-1381	8	10	69.1	69.1	NUM
ijassa-1381	8	11	%	%	NOUN
ijassa-1381	8	12	and	and	CCONJ
ijassa-1381	8	13	73.1	73.1	NUM
ijassa-1381	8	14	%	%	NOUN
ijassa-1381	8	15	without	without	ADP
ijassa-1381	8	16	and	and	CCONJ
ijassa-1381	8	17	with	with	ADP
ijassa-1381	8	18	the	the	DET
ijassa-1381	8	19	active	active	ADJ
ijassa-1381	8	20	learning	learning	NOUN
ijassa-1381	8	21	algorithm	algorithm	NOUN
ijassa-1381	8	22	,	,	PUNCT
ijassa-1381	8	23	respectively	respectively	ADV
ijassa-1381	8	24	.	.	PUNCT
ijassa-1381	9	1	the	the	DET
ijassa-1381	9	2	experimental	experimental	ADJ
ijassa-1381	9	3	results	result	NOUN
ijassa-1381	9	4	suggest	suggest	VERB
ijassa-1381	9	5	that	that	SCONJ
ijassa-1381	9	6	classifiers	classifier	NOUN
ijassa-1381	9	7	using	use	VERB
ijassa-1381	9	8	active	active	ADJ
ijassa-1381	9	9	learning	learning	NOUN
ijassa-1381	9	10	perform	perform	VERB
ijassa-1381	9	11	better	well	ADJ
ijassa-1381	9	12	than	than	ADP
ijassa-1381	9	13	simple	simple	ADJ
ijassa-1381	9	14	natural	natural	ADJ
ijassa-1381	9	15	language	language	NOUN
ijassa-1381	9	16	processing	processing	NOUN
ijassa-1381	9	17	classifiers	classifier	NOUN
ijassa-1381	9	18	on	on	ADP
ijassa-1381	9	19	small	small	ADJ
ijassa-1381	9	20	-	-	PUNCT
ijassa-1381	9	21	scale	scale	NOUN
ijassa-1381	9	22	datasets	dataset	NOUN
ijassa-1381	9	23	.	.	PUNCT
ijassa-1381	10	1	keywords	keyword	NOUN
ijassa-1381	10	2	:	:	PUNCT
ijassa-1381	10	3	active	active	ADJ
ijassa-1381	10	4	learning	learning	NOUN
ijassa-1381	10	5	,	,	PUNCT
ijassa-1381	10	6	deep	deep	ADJ
ijassa-1381	10	7	neural	neural	ADJ
ijassa-1381	10	8	network	network	NOUN
ijassa-1381	10	9	,	,	PUNCT
ijassa-1381	10	10	opinion	opinion	NOUN
ijassa-1381	10	11	dynamics	dynamic	NOUN
ijassa-1381	10	12	,	,	PUNCT
ijassa-1381	10	13	opinion	opinion	NOUN
ijassa-1381	10	14	analysis	analysis	NOUN
ijassa-1381	10	15	,	,	PUNCT
ijassa-1381	10	16	bert	bert	PROPN
ijassa-1381	10	17	,	,	PUNCT
ijassa-1381	10	18	covid-19	covid-19	PROPN
ijassa-1381	10	19	vk	vk	PROPN
ijassa-1381	10	20	opinion	opinion	NOUN
ijassa-1381	10	21	classification	classification	NOUN
ijassa-1381	10	22	1	1	NUM
ijassa-1381	10	23	.	.	PUNCT
ijassa-1381	11	1	introduction	introduction	NOUN
ijassa-1381	11	2	the	the	DET
ijassa-1381	11	3	covid-19	covid-19	PROPN
ijassa-1381	11	4	pandemic	pandemic	NOUN
ijassa-1381	11	5	is	be	AUX
ijassa-1381	11	6	a	a	DET
ijassa-1381	11	7	deadly	deadly	ADJ
ijassa-1381	11	8	virus	virus	NOUN
ijassa-1381	11	9	that	that	PRON
ijassa-1381	11	10	has	have	AUX
ijassa-1381	11	11	affected	affect	VERB
ijassa-1381	11	12	many	many	ADJ
ijassa-1381	11	13	countries	country	NOUN
ijassa-1381	11	14	around	around	ADP
ijassa-1381	11	15	the	the	DET
ijassa-1381	11	16	world	world	NOUN
ijassa-1381	11	17	,	,	PUNCT
ijassa-1381	11	18	leading	lead	VERB
ijassa-1381	11	19	the	the	DET
ijassa-1381	11	20	world	world	NOUN
ijassa-1381	11	21	health	health	NOUN
ijassa-1381	11	22	organization	organization	NOUN
ijassa-1381	11	23	to	to	PART
ijassa-1381	11	24	declare	declare	VERB
ijassa-1381	11	25	it	it	PRON
ijassa-1381	11	26	a	a	DET
ijassa-1381	11	27	pandemic	pandemic	ADJ
ijassa-1381	11	28	disease	disease	NOUN
ijassa-1381	11	29	in	in	ADP
ijassa-1381	11	30	march	march	PROPN
ijassa-1381	11	31	2020	2020	NUM
ijassa-1381	12	1	[	[	X
ijassa-1381	12	2	40	40	NUM
ijassa-1381	12	3	]	]	PUNCT
ijassa-1381	12	4	.	.	PUNCT
ijassa-1381	13	1	the	the	DET
ijassa-1381	13	2	virus	virus	NOUN
ijassa-1381	13	3	has	have	AUX
ijassa-1381	13	4	caused	cause	VERB
ijassa-1381	13	5	a	a	DET
ijassa-1381	13	6	great	great	ADJ
ijassa-1381	13	7	loss	loss	NOUN
ijassa-1381	13	8	of	of	ADP
ijassa-1381	13	9	life	life	NOUN
ijassa-1381	13	10	,	,	PUNCT
ijassa-1381	13	11	and	and	CCONJ
ijassa-1381	13	12	governments	government	NOUN
ijassa-1381	13	13	worldwide	worldwide	ADV
ijassa-1381	13	14	have	have	AUX
ijassa-1381	13	15	employed	employ	VERB
ijassa-1381	13	16	various	various	ADJ
ijassa-1381	13	17	measures	measure	NOUN
ijassa-1381	13	18	to	to	PART
ijassa-1381	13	19	combat	combat	VERB
ijassa-1381	13	20	it	it	PRON
ijassa-1381	13	21	,	,	PUNCT
ijassa-1381	13	22	including	include	VERB
ijassa-1381	13	23	travel	travel	NOUN
ijassa-1381	13	24	restrictions	restriction	NOUN
ijassa-1381	13	25	,	,	PUNCT
ijassa-1381	13	26	vaccination	vaccination	NOUN
ijassa-1381	13	27	,	,	PUNCT
ijassa-1381	13	28	and	and	CCONJ
ijassa-1381	13	29	facility	facility	NOUN
ijassa-1381	13	30	closures	closure	NOUN
ijassa-1381	13	31	.	.	PUNCT
ijassa-1381	14	1	the	the	DET
ijassa-1381	14	2	covid-19	covid-19	PROPN
ijassa-1381	14	3	vaccination	vaccination	NOUN
ijassa-1381	14	4	is	be	AUX
ijassa-1381	14	5	one	one	NUM
ijassa-1381	14	6	of	of	ADP
ijassa-1381	14	7	the	the	DET
ijassa-1381	14	8	most	most	ADV
ijassa-1381	14	9	significant	significant	ADJ
ijassa-1381	14	10	techniques	technique	NOUN
ijassa-1381	14	11	applied	apply	VERB
ijassa-1381	14	12	by	by	ADP
ijassa-1381	14	13	governments	government	NOUN
ijassa-1381	14	14	to	to	PART
ijassa-1381	14	15	control	control	VERB
ijassa-1381	14	16	its	its	PRON
ijassa-1381	14	17	spread	spread	NOUN
ijassa-1381	14	18	,	,	PUNCT
ijassa-1381	14	19	and	and	CCONJ
ijassa-1381	14	20	many	many	ADJ
ijassa-1381	14	21	countries	country	NOUN
ijassa-1381	14	22	have	have	AUX
ijassa-1381	14	23	reported	report	VERB
ijassa-1381	14	24	fewer	few	ADJ
ijassa-1381	14	25	covid	covid	NOUN
ijassa-1381	14	26	cases	case	NOUN
ijassa-1381	14	27	due	due	ADJ
ijassa-1381	14	28	to	to	ADP
ijassa-1381	14	29	a	a	DET
ijassa-1381	14	30	high	high	ADJ
ijassa-1381	14	31	percentage	percentage	NOUN
ijassa-1381	14	32	of	of	ADP
ijassa-1381	14	33	vaccination	vaccination	NOUN
ijassa-1381	14	34	.	.	PUNCT
ijassa-1381	15	1	the	the	DET
ijassa-1381	15	2	russian	russian	ADJ
ijassa-1381	15	3	government	government	NOUN
ijassa-1381	15	4	has	have	AUX
ijassa-1381	15	5	launched	launch	VERB
ijassa-1381	15	6	a	a	DET
ijassa-1381	15	7	widespread	widespread	ADJ
ijassa-1381	15	8	immunization	immunization	NOUN
ijassa-1381	15	9	effort	effort	NOUN
ijassa-1381	15	10	,	,	PUNCT
ijassa-1381	15	11	and	and	CCONJ
ijassa-1381	15	12	the	the	DET
ijassa-1381	15	13	vaccine	vaccine	NOUN
ijassa-1381	15	14	is	be	AUX
ijassa-1381	15	15	now	now	ADV
ijassa-1381	15	16	available	available	ADJ
ijassa-1381	15	17	to	to	ADP
ijassa-1381	15	18	the	the	DET
ijassa-1381	15	19	general	general	ADJ
ijassa-1381	15	20	population	population	NOUN
ijassa-1381	15	21	after	after	ADP
ijassa-1381	15	22	several	several	ADJ
ijassa-1381	15	23	stages	stage	NOUN
ijassa-1381	15	24	of	of	ADP
ijassa-1381	15	25	vaccine	vaccine	NOUN
ijassa-1381	15	26	trials	trial	NOUN
ijassa-1381	15	27	.	.	PUNCT
ijassa-1381	16	1	the	the	DET
ijassa-1381	16	2	success	success	NOUN
ijassa-1381	16	3	of	of	ADP
ijassa-1381	16	4	any	any	DET
ijassa-1381	16	5	immunization	immunization	NOUN
ijassa-1381	16	6	campaign	campaign	NOUN
ijassa-1381	16	7	depends	depend	VERB
ijassa-1381	16	8	on	on	ADP
ijassa-1381	16	9	its	its	PRON
ijassa-1381	16	10	public	public	ADJ
ijassa-1381	16	11	approval	approval	NOUN
ijassa-1381	16	12	rate	rate	NOUN
ijassa-1381	16	13	and	and	CCONJ
ijassa-1381	16	14	the	the	DET
ijassa-1381	16	15	speed	speed	NOUN
ijassa-1381	16	16	of	of	ADP
ijassa-1381	16	17	acceptance	acceptance	NOUN
ijassa-1381	16	18	.	.	PUNCT
ijassa-1381	17	1	however	however	ADV
ijassa-1381	17	2	,	,	PUNCT
ijassa-1381	17	3	there	there	PRON
ijassa-1381	17	4	are	be	VERB
ijassa-1381	17	5	many	many	ADJ
ijassa-1381	17	6	misconceptions	misconception	NOUN
ijassa-1381	17	7	and	and	CCONJ
ijassa-1381	17	8	doubts	doubt	NOUN
ijassa-1381	17	9	about	about	ADP
ijassa-1381	17	10	covid19	covid19	NOUN
ijassa-1381	17	11	vaccinations	vaccination	NOUN
ijassa-1381	17	12	among	among	ADP
ijassa-1381	17	13	ordinary	ordinary	ADJ
ijassa-1381	17	14	people	people	NOUN
ijassa-1381	17	15	.	.	PUNCT
ijassa-1381	18	1	therefore	therefore	ADV
ijassa-1381	18	2	,	,	PUNCT
ijassa-1381	18	3	it	it	PRON
ijassa-1381	18	4	is	be	AUX
ijassa-1381	18	5	necessary	necessary	ADJ
ijassa-1381	18	6	to	to	PART
ijassa-1381	18	7	understand	understand	VERB
ijassa-1381	18	8	public	public	ADJ
ijassa-1381	18	9	opinion	opinion	NOUN
ijassa-1381	18	10	dynamics	dynamic	NOUN
ijassa-1381	18	11	to	to	PART
ijassa-1381	18	12	ensure	ensure	VERB
ijassa-1381	18	13	an	an	DET
ijassa-1381	18	14	effective	effective	ADJ
ijassa-1381	18	15	immunization	immunization	NOUN
ijassa-1381	18	16	company	company	NOUN
ijassa-1381	18	17	.	.	PUNCT
ijassa-1381	19	1	this	this	DET
ijassa-1381	19	2	study	study	NOUN
ijassa-1381	19	3	aims	aim	VERB
ijassa-1381	19	4	to	to	PART
ijassa-1381	19	5	develop	develop	VERB
ijassa-1381	19	6	∗corresponding	∗corresponde	VERB
ijassa-1381	19	7	author	author	NOUN
ijassa-1381	19	8	:	:	PUNCT
ijassa-1381	19	9	vlamelni@gmail.com	vlamelni@gmail.com	X
ijassa-1381	19	10	assa	assa	PROPN
ijassa-1381	19	11	latex	latex	PROPN
ijassa-1381	19	12	template	template	NOUN
ijassa-1381	19	13	109	109	NUM
ijassa-1381	19	14	an	an	DET
ijassa-1381	19	15	algorithm	algorithm	NOUN
ijassa-1381	19	16	that	that	PRON
ijassa-1381	19	17	can	can	AUX
ijassa-1381	19	18	identify	identify	VERB
ijassa-1381	19	19	opinions	opinion	NOUN
ijassa-1381	19	20	and	and	CCONJ
ijassa-1381	19	21	comprehend	comprehend	VERB
ijassa-1381	19	22	opinion	opinion	NOUN
ijassa-1381	19	23	dynamics	dynamic	NOUN
ijassa-1381	19	24	from	from	ADP
ijassa-1381	19	25	smallscale	smallscale	ADJ
ijassa-1381	19	26	datasets	dataset	NOUN
ijassa-1381	19	27	with	with	ADP
ijassa-1381	19	28	sufficient	sufficient	ADJ
ijassa-1381	19	29	accuracy	accuracy	NOUN
ijassa-1381	19	30	.	.	PUNCT
ijassa-1381	20	1	specifically	specifically	ADV
ijassa-1381	20	2	,	,	PUNCT
ijassa-1381	20	3	the	the	DET
ijassa-1381	20	4	study	study	NOUN
ijassa-1381	20	5	focuses	focus	VERB
ijassa-1381	20	6	on	on	ADP
ijassa-1381	20	7	the	the	DET
ijassa-1381	20	8	opinion	opinion	NOUN
ijassa-1381	20	9	analysis	analysis	NOUN
ijassa-1381	20	10	of	of	ADP
ijassa-1381	20	11	vk	vk	ADP
ijassa-1381	20	12	messages	message	NOUN
ijassa-1381	20	13	on	on	ADP
ijassa-1381	20	14	the	the	DET
ijassa-1381	20	15	russian	russian	ADJ
ijassa-1381	20	16	language	language	NOUN
ijassa-1381	20	17	regarding	regard	VERB
ijassa-1381	20	18	the	the	DET
ijassa-1381	20	19	covid-19	covid-19	PROPN
ijassa-1381	20	20	vaccine	vaccine	NOUN
ijassa-1381	20	21	and	and	CCONJ
ijassa-1381	20	22	the	the	DET
ijassa-1381	20	23	identification	identification	NOUN
ijassa-1381	20	24	of	of	ADP
ijassa-1381	20	25	their	their	PRON
ijassa-1381	20	26	opinions	opinion	NOUN
ijassa-1381	20	27	as	as	ADP
ijassa-1381	20	28	positive	positive	ADJ
ijassa-1381	20	29	,	,	PUNCT
ijassa-1381	20	30	negative	negative	ADJ
ijassa-1381	20	31	,	,	PUNCT
ijassa-1381	20	32	or	or	CCONJ
ijassa-1381	20	33	neutral	neutral	ADJ
ijassa-1381	20	34	/	/	SYM
ijassa-1381	20	35	unknown	unknown	ADJ
ijassa-1381	20	36	.	.	PUNCT
ijassa-1381	21	1	the	the	DET
ijassa-1381	21	2	results	result	NOUN
ijassa-1381	21	3	of	of	ADP
ijassa-1381	21	4	this	this	DET
ijassa-1381	21	5	work	work	NOUN
ijassa-1381	21	6	can	can	AUX
ijassa-1381	21	7	comprehend	comprehend	VERB
ijassa-1381	21	8	in	in	ADP
ijassa-1381	21	9	improving	improve	VERB
ijassa-1381	21	10	machine	machine	NOUN
ijassa-1381	21	11	learning	learning	NOUN
ijassa-1381	21	12	(	(	PUNCT
ijassa-1381	21	13	ml	ml	NOUN
ijassa-1381	21	14	)	)	PUNCT
ijassa-1381	21	15	models	model	NOUN
ijassa-1381	21	16	via	via	ADP
ijassa-1381	21	17	active	active	ADJ
ijassa-1381	21	18	learning	learning	NOUN
ijassa-1381	21	19	and	and	CCONJ
ijassa-1381	21	20	in	in	ADP
ijassa-1381	21	21	formulating	formulate	VERB
ijassa-1381	21	22	policies	policy	NOUN
ijassa-1381	21	23	to	to	PART
ijassa-1381	21	24	address	address	VERB
ijassa-1381	21	25	people	people	NOUN
ijassa-1381	21	26	’s	’s	PART
ijassa-1381	21	27	queries	query	NOUN
ijassa-1381	21	28	before	before	ADP
ijassa-1381	21	29	mass	mass	NOUN
ijassa-1381	21	30	vaccination	vaccination	NOUN
ijassa-1381	21	31	[	[	X
ijassa-1381	21	32	38	38	NUM
ijassa-1381	21	33	]	]	PUNCT
ijassa-1381	21	34	.	.	PUNCT
ijassa-1381	22	1	active	active	ADJ
ijassa-1381	22	2	learning	learning	NOUN
ijassa-1381	22	3	in	in	ADP
ijassa-1381	22	4	machine	machine	NOUN
ijassa-1381	22	5	learning	learning	NOUN
ijassa-1381	22	6	involves	involve	VERB
ijassa-1381	22	7	an	an	DET
ijassa-1381	22	8	interactive	interactive	ADJ
ijassa-1381	22	9	process	process	NOUN
ijassa-1381	22	10	where	where	SCONJ
ijassa-1381	22	11	a	a	DET
ijassa-1381	22	12	learning	learning	NOUN
ijassa-1381	22	13	algorithm	algorithm	NOUN
ijassa-1381	22	14	seeks	seek	VERB
ijassa-1381	22	15	feedback	feedback	NOUN
ijassa-1381	22	16	from	from	ADP
ijassa-1381	22	17	a	a	DET
ijassa-1381	22	18	user	user	NOUN
ijassa-1381	22	19	or	or	CCONJ
ijassa-1381	22	20	another	another	DET
ijassa-1381	22	21	information	information	NOUN
ijassa-1381	22	22	source	source	NOUN
ijassa-1381	22	23	to	to	PART
ijassa-1381	22	24	assign	assign	VERB
ijassa-1381	22	25	desired	desire	VERB
ijassa-1381	22	26	outputs	output	NOUN
ijassa-1381	22	27	to	to	ADP
ijassa-1381	22	28	new	new	ADJ
ijassa-1381	22	29	data	datum	NOUN
ijassa-1381	22	30	points	point	NOUN
ijassa-1381	22	31	,	,	PUNCT
ijassa-1381	22	32	which	which	PRON
ijassa-1381	22	33	helps	help	VERB
ijassa-1381	22	34	the	the	DET
ijassa-1381	22	35	algorithm	algorithm	NOUN
ijassa-1381	22	36	improve	improve	VERB
ijassa-1381	22	37	its	its	PRON
ijassa-1381	22	38	efficiency	efficiency	NOUN
ijassa-1381	22	39	.	.	PUNCT
ijassa-1381	23	1	the	the	DET
ijassa-1381	23	2	article	article	NOUN
ijassa-1381	23	3	is	be	AUX
ijassa-1381	23	4	organized	organize	VERB
ijassa-1381	23	5	as	as	SCONJ
ijassa-1381	23	6	follows	follow	VERB
ijassa-1381	23	7	:	:	PUNCT
ijassa-1381	23	8	sections	section	NOUN
ijassa-1381	23	9	2	2	NUM
ijassa-1381	23	10	,	,	PUNCT
ijassa-1381	23	11	3	3	NUM
ijassa-1381	23	12	,	,	PUNCT
ijassa-1381	23	13	and	and	CCONJ
ijassa-1381	24	1	4	4	NUM
ijassa-1381	24	2	discuss	discuss	VERB
ijassa-1381	24	3	opinion	opinion	NOUN
ijassa-1381	24	4	dynamics	dynamic	NOUN
ijassa-1381	24	5	,	,	PUNCT
ijassa-1381	24	6	specifically	specifically	ADV
ijassa-1381	24	7	the	the	DET
ijassa-1381	24	8	dynamics	dynamic	NOUN
ijassa-1381	24	9	of	of	ADP
ijassa-1381	24	10	opinions	opinion	NOUN
ijassa-1381	24	11	on	on	ADP
ijassa-1381	24	12	covid-19	covid-19	PROPN
ijassa-1381	24	13	.	.	PUNCT
ijassa-1381	24	14	section	section	NOUN
ijassa-1381	24	15	5	5	NUM
ijassa-1381	24	16	and	and	CCONJ
ijassa-1381	24	17	6	6	NUM
ijassa-1381	24	18	detail	detail	NOUN
ijassa-1381	24	19	the	the	DET
ijassa-1381	24	20	bertbased	bertbase	VERB
ijassa-1381	24	21	algorithm	algorithm	NOUN
ijassa-1381	24	22	and	and	CCONJ
ijassa-1381	24	23	active	active	ADJ
ijassa-1381	24	24	learning	learning	NOUN
ijassa-1381	24	25	,	,	PUNCT
ijassa-1381	24	26	bert	bert	PROPN
ijassa-1381	24	27	is	be	AUX
ijassa-1381	24	28	bidirectional	bidirectional	ADJ
ijassa-1381	24	29	encoder	encoder	NOUN
ijassa-1381	24	30	representations	representation	VERB
ijassa-1381	24	31	from	from	ADP
ijassa-1381	24	32	transformers	transformer	NOUN
ijassa-1381	24	33	.	.	PUNCT
ijassa-1381	25	1	section	section	NOUN
ijassa-1381	25	2	7	7	NUM
ijassa-1381	25	3	presents	present	VERB
ijassa-1381	25	4	the	the	DET
ijassa-1381	25	5	experimental	experimental	ADJ
ijassa-1381	25	6	results	result	NOUN
ijassa-1381	25	7	,	,	PUNCT
ijassa-1381	25	8	illustrations	illustration	NOUN
ijassa-1381	25	9	,	,	PUNCT
ijassa-1381	25	10	and	and	CCONJ
ijassa-1381	25	11	discussions	discussion	NOUN
ijassa-1381	25	12	,	,	PUNCT
ijassa-1381	25	13	followed	follow	VERB
ijassa-1381	25	14	by	by	ADP
ijassa-1381	25	15	the	the	DET
ijassa-1381	25	16	conclusions	conclusion	NOUN
ijassa-1381	25	17	in	in	ADP
ijassa-1381	25	18	section	section	NOUN
ijassa-1381	25	19	8	8	NUM
ijassa-1381	25	20	.	.	PUNCT
ijassa-1381	25	21	1.1	1.1	NUM
ijassa-1381	25	22	.	.	PUNCT
ijassa-1381	26	1	novelty	novelty	NOUN
ijassa-1381	26	2	of	of	ADP
ijassa-1381	26	3	the	the	DET
ijassa-1381	26	4	proposed	propose	VERB
ijassa-1381	26	5	work	work	NOUN
ijassa-1381	26	6	the	the	DET
ijassa-1381	26	7	current	current	ADJ
ijassa-1381	26	8	research	research	NOUN
ijassa-1381	26	9	presents	present	VERB
ijassa-1381	26	10	the	the	DET
ijassa-1381	26	11	practical	practical	ADJ
ijassa-1381	26	12	implementation	implementation	NOUN
ijassa-1381	26	13	of	of	ADP
ijassa-1381	26	14	an	an	DET
ijassa-1381	26	15	algorithm	algorithm	NOUN
ijassa-1381	26	16	for	for	ADP
ijassa-1381	26	17	opinion	opinion	NOUN
ijassa-1381	26	18	analysis	analysis	NOUN
ijassa-1381	26	19	of	of	ADP
ijassa-1381	26	20	russian	russian	ADJ
ijassa-1381	26	21	people	people	NOUN
ijassa-1381	26	22	’s	’s	PART
ijassa-1381	26	23	opinions	opinion	NOUN
ijassa-1381	26	24	about	about	ADP
ijassa-1381	26	25	covid-19	covid-19	PROPN
ijassa-1381	26	26	vaccines	vaccine	NOUN
ijassa-1381	26	27	based	base	VERB
ijassa-1381	26	28	on	on	ADP
ijassa-1381	26	29	vk	vk	PROPN
ijassa-1381	26	30	(	(	PUNCT
ijassa-1381	26	31	social	social	ADJ
ijassa-1381	26	32	network	network	NOUN
ijassa-1381	26	33	)	)	PUNCT
ijassa-1381	26	34	messages	message	NOUN
ijassa-1381	26	35	[	[	PUNCT
ijassa-1381	26	36	13	13	NUM
ijassa-1381	26	37	,	,	PUNCT
ijassa-1381	26	38	23	23	NUM
ijassa-1381	26	39	]	]	PUNCT
ijassa-1381	26	40	(	(	PUNCT
ijassa-1381	26	41	see	see	VERB
ijassa-1381	26	42	also	also	ADV
ijassa-1381	26	43	the	the	DET
ijassa-1381	26	44	study	study	NOUN
ijassa-1381	26	45	on	on	ADP
ijassa-1381	26	46	the	the	DET
ijassa-1381	26	47	dynamics	dynamic	NOUN
ijassa-1381	26	48	of	of	ADP
ijassa-1381	26	49	opinions	opinion	NOUN
ijassa-1381	26	50	regarding	regard	VERB
ijassa-1381	26	51	the	the	DET
ijassa-1381	26	52	wearing	wearing	NOUN
ijassa-1381	26	53	of	of	ADP
ijassa-1381	26	54	medical	medical	ADJ
ijassa-1381	26	55	masks	mask	NOUN
ijassa-1381	26	56	[	[	X
ijassa-1381	26	57	18	18	NUM
ijassa-1381	26	58	,	,	PUNCT
ijassa-1381	26	59	19	19	NUM
ijassa-1381	26	60	]	]	NUM
ijassa-1381	26	61	)	)	PUNCT
ijassa-1381	26	62	.	.	PUNCT
ijassa-1381	27	1	the	the	DET
ijassa-1381	27	2	methodology	methodology	NOUN
ijassa-1381	27	3	proposed	propose	VERB
ijassa-1381	27	4	consists	consist	NOUN
ijassa-1381	27	5	of	of	ADP
ijassa-1381	27	6	four	four	NUM
ijassa-1381	27	7	main	main	ADJ
ijassa-1381	27	8	steps	step	NOUN
ijassa-1381	27	9	:	:	PUNCT
ijassa-1381	27	10	natural	natural	ADJ
ijassa-1381	27	11	language	language	NOUN
ijassa-1381	27	12	processing	processing	NOUN
ijassa-1381	27	13	(	(	PUNCT
ijassa-1381	27	14	nlp	nlp	NOUN
ijassa-1381	27	15	)	)	PUNCT
ijassa-1381	27	16	,	,	PUNCT
ijassa-1381	27	17	opinion	opinion	NOUN
ijassa-1381	27	18	classification	classification	NOUN
ijassa-1381	27	19	using	use	VERB
ijassa-1381	27	20	active	active	ADJ
ijassa-1381	27	21	learning	learning	NOUN
ijassa-1381	27	22	,	,	PUNCT
ijassa-1381	27	23	exploratory	exploratory	ADJ
ijassa-1381	27	24	data	datum	NOUN
ijassa-1381	27	25	analysis	analysis	NOUN
ijassa-1381	27	26	(	(	PUNCT
ijassa-1381	27	27	eda	eda	PROPN
ijassa-1381	27	28	)	)	PUNCT
ijassa-1381	27	29	,	,	PUNCT
ijassa-1381	27	30	and	and	CCONJ
ijassa-1381	27	31	analysis	analysis	NOUN
ijassa-1381	27	32	of	of	ADP
ijassa-1381	27	33	opinion	opinion	NOUN
ijassa-1381	27	34	dynamics	dynamic	NOUN
ijassa-1381	27	35	.	.	PUNCT
ijassa-1381	28	1	the	the	DET
ijassa-1381	28	2	nlp	nlp	NOUN
ijassa-1381	28	3	step	step	NOUN
ijassa-1381	28	4	involves	involve	VERB
ijassa-1381	28	5	data	datum	NOUN
ijassa-1381	28	6	preprocessing	preprocessing	NOUN
ijassa-1381	28	7	,	,	PUNCT
ijassa-1381	28	8	including	include	VERB
ijassa-1381	28	9	data	datum	NOUN
ijassa-1381	28	10	cleaning	cleaning	NOUN
ijassa-1381	28	11	,	,	PUNCT
ijassa-1381	28	12	removal	removal	NOUN
ijassa-1381	28	13	of	of	ADP
ijassa-1381	28	14	irrelevant	irrelevant	ADJ
ijassa-1381	28	15	words	word	NOUN
ijassa-1381	28	16	,	,	PUNCT
ijassa-1381	28	17	data	datum	NOUN
ijassa-1381	28	18	normalization	normalization	NOUN
ijassa-1381	28	19	,	,	PUNCT
ijassa-1381	28	20	and	and	CCONJ
ijassa-1381	28	21	tokenization	tokenization	NOUN
ijassa-1381	28	22	[	[	X
ijassa-1381	28	23	14,20	14,20	NUM
ijassa-1381	28	24	]	]	PUNCT
ijassa-1381	28	25	.	.	PUNCT
ijassa-1381	29	1	further	far	ADV
ijassa-1381	29	2	,	,	PUNCT
ijassa-1381	29	3	preprocessed	preprocesse	VERB
ijassa-1381	29	4	data	datum	NOUN
ijassa-1381	29	5	is	be	AUX
ijassa-1381	29	6	used	use	VERB
ijassa-1381	29	7	as	as	ADP
ijassa-1381	29	8	input	input	NOUN
ijassa-1381	29	9	in	in	ADP
ijassa-1381	29	10	bert	bert	NOUN
ijassa-1381	29	11	-	-	PUNCT
ijassa-1381	29	12	based	base	VERB
ijassa-1381	29	13	model	model	NOUN
ijassa-1381	29	14	,	,	PUNCT
ijassa-1381	29	15	which	which	PRON
ijassa-1381	29	16	is	be	AUX
ijassa-1381	29	17	trained	train	VERB
ijassa-1381	29	18	using	use	VERB
ijassa-1381	29	19	active	active	ADJ
ijassa-1381	29	20	learning	learning	NOUN
ijassa-1381	29	21	after	after	ADP
ijassa-1381	29	22	feature	feature	NOUN
ijassa-1381	29	23	extraction	extraction	NOUN
ijassa-1381	29	24	and	and	CCONJ
ijassa-1381	29	25	data	datum	NOUN
ijassa-1381	29	26	labeling	labeling	NOUN
ijassa-1381	29	27	.	.	PUNCT
ijassa-1381	30	1	the	the	DET
ijassa-1381	30	2	bert	bert	NOUN
ijassa-1381	30	3	-	-	PUNCT
ijassa-1381	30	4	based	base	VERB
ijassa-1381	30	5	model	model	NOUN
ijassa-1381	30	6	is	be	AUX
ijassa-1381	30	7	utilized	utilize	VERB
ijassa-1381	30	8	for	for	ADP
ijassa-1381	30	9	opinion	opinion	NOUN
ijassa-1381	30	10	classification	classification	NOUN
ijassa-1381	30	11	,	,	PUNCT
ijassa-1381	30	12	with	with	ADP
ijassa-1381	30	13	positive	positive	ADJ
ijassa-1381	30	14	,	,	PUNCT
ijassa-1381	30	15	negative	negative	ADJ
ijassa-1381	30	16	,	,	PUNCT
ijassa-1381	30	17	and	and	CCONJ
ijassa-1381	30	18	neutral	neutral	ADJ
ijassa-1381	30	19	/	/	SYM
ijassa-1381	30	20	unknown	unknown	ADJ
ijassa-1381	30	21	being	be	AUX
ijassa-1381	30	22	the	the	DET
ijassa-1381	30	23	three	three	NUM
ijassa-1381	30	24	categories	category	NOUN
ijassa-1381	30	25	.	.	PUNCT
ijassa-1381	31	1	the	the	DET
ijassa-1381	31	2	eda	eda	PROPN
ijassa-1381	31	3	and	and	CCONJ
ijassa-1381	31	4	opinion	opinion	NOUN
ijassa-1381	31	5	dynamics	dynamic	NOUN
ijassa-1381	31	6	are	be	AUX
ijassa-1381	31	7	conducted	conduct	VERB
ijassa-1381	31	8	on	on	ADP
ijassa-1381	31	9	a	a	DET
ijassa-1381	31	10	labeled	label	VERB
ijassa-1381	31	11	dataset	dataset	NOUN
ijassa-1381	31	12	of	of	ADP
ijassa-1381	31	13	two	two	NUM
ijassa-1381	31	14	million	million	NUM
ijassa-1381	31	15	using	use	VERB
ijassa-1381	31	16	the	the	DET
ijassa-1381	31	17	bert	bert	NOUN
ijassa-1381	31	18	-	-	PUNCT
ijassa-1381	31	19	based	base	VERB
ijassa-1381	31	20	model	model	NOUN
ijassa-1381	31	21	with	with	ADP
ijassa-1381	31	22	active	active	ADJ
ijassa-1381	31	23	learning	learning	NOUN
ijassa-1381	31	24	.	.	PUNCT
ijassa-1381	32	1	to	to	PART
ijassa-1381	32	2	conduct	conduct	VERB
ijassa-1381	32	3	this	this	DET
ijassa-1381	32	4	study	study	NOUN
ijassa-1381	32	5	and	and	CCONJ
ijassa-1381	32	6	build	build	VERB
ijassa-1381	32	7	the	the	DET
ijassa-1381	32	8	bert	bert	NOUN
ijassa-1381	32	9	-	-	PUNCT
ijassa-1381	32	10	based	base	VERB
ijassa-1381	32	11	model	model	NOUN
ijassa-1381	32	12	,	,	PUNCT
ijassa-1381	32	13	five	five	NUM
ijassa-1381	32	14	machine	machine	NOUN
ijassa-1381	32	15	learning	learn	VERB
ijassa-1381	32	16	techniques	technique	NOUN
ijassa-1381	32	17	were	be	AUX
ijassa-1381	32	18	utilized	utilize	VERB
ijassa-1381	32	19	,	,	PUNCT
ijassa-1381	32	20	such	such	ADJ
ijassa-1381	32	21	as	as	ADP
ijassa-1381	32	22	logistic	logistic	ADJ
ijassa-1381	32	23	regression	regression	NOUN
ijassa-1381	32	24	,	,	PUNCT
ijassa-1381	32	25	gradient	gradient	NOUN
ijassa-1381	32	26	boosting	boosting	NOUN
ijassa-1381	32	27	,	,	PUNCT
ijassa-1381	32	28	extreme	extreme	ADJ
ijassa-1381	32	29	gradient	gradient	NOUN
ijassa-1381	32	30	boosting	boosting	NOUN
ijassa-1381	32	31	(	(	PUNCT
ijassa-1381	32	32	xgb	xgb	NUM
ijassa-1381	32	33	)	)	PUNCT
ijassa-1381	32	34	,	,	PUNCT
ijassa-1381	32	35	transformers	transformer	NOUN
ijassa-1381	32	36	,	,	PUNCT
ijassa-1381	32	37	and	and	CCONJ
ijassa-1381	32	38	active	active	ADJ
ijassa-1381	32	39	learning	learning	NOUN
ijassa-1381	33	1	[	[	X
ijassa-1381	33	2	10	10	NUM
ijassa-1381	33	3	,	,	PUNCT
ijassa-1381	33	4	15	15	NUM
ijassa-1381	33	5	]	]	PUNCT
ijassa-1381	33	6	.	.	PUNCT
ijassa-1381	34	1	the	the	DET
ijassa-1381	34	2	application	application	NOUN
ijassa-1381	34	3	of	of	ADP
ijassa-1381	34	4	active	active	ADJ
ijassa-1381	34	5	learning	learning	NOUN
ijassa-1381	34	6	for	for	ADP
ijassa-1381	34	7	small	small	ADJ
ijassa-1381	34	8	datasets	dataset	NOUN
ijassa-1381	34	9	in	in	ADP
ijassa-1381	34	10	opinion	opinion	NOUN
ijassa-1381	34	11	dynamics	dynamic	NOUN
ijassa-1381	34	12	tasks	task	NOUN
ijassa-1381	34	13	was	be	AUX
ijassa-1381	34	14	analyzed	analyze	VERB
ijassa-1381	34	15	in	in	ADP
ijassa-1381	34	16	this	this	DET
ijassa-1381	34	17	study	study	NOUN
ijassa-1381	34	18	.	.	PUNCT
ijassa-1381	35	1	fig	fig	NOUN
ijassa-1381	35	2	.	.	PUNCT
ijassa-1381	36	1	1.1	1.1	NUM
ijassa-1381	36	2	.	.	PUNCT
ijassa-1381	37	1	the	the	DET
ijassa-1381	37	2	charts	chart	NOUN
ijassa-1381	37	3	of	of	ADP
ijassa-1381	37	4	relative	relative	ADJ
ijassa-1381	37	5	and	and	CCONJ
ijassa-1381	37	6	absolute	absolute	ADJ
ijassa-1381	37	7	values	value	NOUN
ijassa-1381	37	8	of	of	ADP
ijassa-1381	37	9	”	"	PUNCT
ijassa-1381	37	10	for	for	ADP
ijassa-1381	37	11	”	"	PUNCT
ijassa-1381	37	12	and	and	CCONJ
ijassa-1381	37	13	”	"	PUNCT
ijassa-1381	37	14	against	against	ADP
ijassa-1381	37	15	”	"	PUNCT
ijassa-1381	37	16	opinions	opinion	NOUN
ijassa-1381	37	17	copyright	copyright	NOUN
ijassa-1381	37	18	©	©	PROPN
ijassa-1381	37	19	2023	2023	NUM
ijassa-1381	37	20	assa	assa	NOUN
ijassa-1381	37	21	.	.	PUNCT
ijassa-1381	38	1	adv	adv	PROPN
ijassa-1381	38	2	syst	syst	PROPN
ijassa-1381	38	3	sci	sci	PROPN
ijassa-1381	38	4	appl	appl	PROPN
ijassa-1381	38	5	(	(	PUNCT
ijassa-1381	38	6	2023	2023	NUM
ijassa-1381	38	7	)	)	PUNCT
ijassa-1381	38	8	110	110	NUM
ijassa-1381	38	9	d.	d.	PROPN
ijassa-1381	38	10	gubanov	gubanov	PROPN
ijassa-1381	38	11	,	,	PUNCT
ijassa-1381	38	12	a.	a.	NOUN
ijassa-1381	38	13	chkhartishvili	chkhartishvili	NOUN
ijassa-1381	38	14	,	,	PUNCT
ijassa-1381	38	15	v.	v.	CCONJ
ijassa-1381	38	16	melnichuk	melnichuk	PROPN
ijassa-1381	38	17	,	,	PUNCT
ijassa-1381	38	18	v.	v.	ADP
ijassa-1381	38	19	sych	sych	PROPN
ijassa-1381	38	20	2	2	NUM
ijassa-1381	38	21	.	.	PUNCT
ijassa-1381	38	22	preliminary	preliminary	ADJ
ijassa-1381	38	23	data	datum	NOUN
ijassa-1381	38	24	analysis	analysis	NOUN
ijassa-1381	38	25	for	for	ADP
ijassa-1381	38	26	opinion	opinion	NOUN
ijassa-1381	38	27	dynamics	dynamic	NOUN
ijassa-1381	38	28	in	in	ADP
ijassa-1381	38	29	this	this	DET
ijassa-1381	38	30	work	work	NOUN
ijassa-1381	38	31	,	,	PUNCT
ijassa-1381	38	32	data	datum	NOUN
ijassa-1381	38	33	collected	collect	VERB
ijassa-1381	38	34	from	from	ADP
ijassa-1381	38	35	the	the	DET
ijassa-1381	38	36	vk	vk	X
ijassa-1381	38	37	social	social	ADJ
ijassa-1381	38	38	network	network	NOUN
ijassa-1381	38	39	is	be	AUX
ijassa-1381	38	40	used	use	VERB
ijassa-1381	38	41	,	,	PUNCT
ijassa-1381	38	42	and	and	CCONJ
ijassa-1381	38	43	approximately	approximately	ADV
ijassa-1381	38	44	4	4	NUM
ijassa-1381	38	45	gb	gb	NOUN
ijassa-1381	38	46	of	of	ADP
ijassa-1381	38	47	text	text	NOUN
ijassa-1381	38	48	data	datum	NOUN
ijassa-1381	38	49	are	be	AUX
ijassa-1381	38	50	used	use	VERB
ijassa-1381	38	51	,	,	PUNCT
ijassa-1381	38	52	containing	contain	VERB
ijassa-1381	38	53	users	user	NOUN
ijassa-1381	38	54	’	'	PUNCT
ijassa-1381	38	55	commentaries	commentary	NOUN
ijassa-1381	38	56	,	,	PUNCT
ijassa-1381	38	57	their	their	PRON
ijassa-1381	38	58	identifiers	identifier	NOUN
ijassa-1381	38	59	,	,	PUNCT
ijassa-1381	38	60	time	time	NOUN
ijassa-1381	38	61	,	,	PUNCT
ijassa-1381	38	62	and	and	CCONJ
ijassa-1381	38	63	source	source	NOUN
ijassa-1381	38	64	,	,	PUNCT
ijassa-1381	38	65	user	user	NOUN
ijassa-1381	38	66	ids	id	NOUN
ijassa-1381	38	67	and	and	CCONJ
ijassa-1381	38	68	those	those	PRON
ijassa-1381	38	69	with	with	ADP
ijassa-1381	38	70	whom	whom	PRON
ijassa-1381	38	71	they	they	PRON
ijassa-1381	38	72	interacted	interact	VERB
ijassa-1381	38	73	,	,	PUNCT
ijassa-1381	38	74	information	information	NOUN
ijassa-1381	38	75	about	about	ADP
ijassa-1381	38	76	likes	like	NOUN
ijassa-1381	38	77	on	on	ADP
ijassa-1381	38	78	commentaries	commentary	NOUN
ijassa-1381	38	79	and	and	CCONJ
ijassa-1381	38	80	posts	post	NOUN
ijassa-1381	38	81	.	.	PUNCT
ijassa-1381	39	1	the	the	DET
ijassa-1381	39	2	data	datum	NOUN
ijassa-1381	39	3	was	be	AUX
ijassa-1381	39	4	collected	collect	VERB
ijassa-1381	39	5	from	from	ADP
ijassa-1381	39	6	popular	popular	ADJ
ijassa-1381	39	7	news	news	NOUN
ijassa-1381	39	8	communities	community	NOUN
ijassa-1381	39	9	from	from	ADP
ijassa-1381	39	10	january	january	PROPN
ijassa-1381	39	11	19	19	NUM
ijassa-1381	39	12	,	,	PUNCT
ijassa-1381	39	13	2020	2020	NUM
ijassa-1381	39	14	,	,	PUNCT
ijassa-1381	39	15	to	to	ADP
ijassa-1381	39	16	january	january	PROPN
ijassa-1381	39	17	19	19	NUM
ijassa-1381	39	18	,	,	PUNCT
ijassa-1381	39	19	2021	2021	NUM
ijassa-1381	39	20	,	,	PUNCT
ijassa-1381	39	21	reflecting	reflect	VERB
ijassa-1381	39	22	the	the	DET
ijassa-1381	39	23	beginning	beginning	NOUN
ijassa-1381	39	24	of	of	ADP
ijassa-1381	39	25	the	the	DET
ijassa-1381	39	26	covid-19	covid-19	PROPN
ijassa-1381	39	27	pandemic	pandemic	NOUN
ijassa-1381	39	28	and	and	CCONJ
ijassa-1381	39	29	covering	cover	VERB
ijassa-1381	39	30	the	the	DET
ijassa-1381	39	31	first	first	ADJ
ijassa-1381	39	32	two	two	NUM
ijassa-1381	39	33	waves	wave	NOUN
ijassa-1381	39	34	of	of	ADP
ijassa-1381	39	35	infections	infection	NOUN
ijassa-1381	39	36	.	.	PUNCT
ijassa-1381	40	1	fig	fig	NOUN
ijassa-1381	40	2	.	.	PUNCT
ijassa-1381	41	1	2.2	2.2	NUM
ijassa-1381	41	2	.	.	PUNCT
ijassa-1381	42	1	a	a	DET
ijassa-1381	42	2	graph	graph	NOUN
ijassa-1381	42	3	of	of	ADP
ijassa-1381	42	4	the	the	DET
ijassa-1381	42	5	density	density	NOUN
ijassa-1381	42	6	distribution	distribution	NOUN
ijassa-1381	42	7	of	of	ADP
ijassa-1381	42	8	commenting	comment	VERB
ijassa-1381	42	9	frequency	frequency	NOUN
ijassa-1381	42	10	for	for	ADP
ijassa-1381	42	11	all	all	DET
ijassa-1381	42	12	users	user	NOUN
ijassa-1381	42	13	first	first	ADV
ijassa-1381	42	14	,	,	PUNCT
ijassa-1381	42	15	each	each	DET
ijassa-1381	42	16	table	table	NOUN
ijassa-1381	42	17	is	be	AUX
ijassa-1381	42	18	cleaned	clean	VERB
ijassa-1381	42	19	of	of	ADP
ijassa-1381	42	20	junk	junk	NOUN
ijassa-1381	42	21	data	datum	NOUN
ijassa-1381	42	22	.	.	PUNCT
ijassa-1381	43	1	for	for	ADP
ijassa-1381	43	2	the	the	DET
ijassa-1381	43	3	commentaries	commentary	NOUN
ijassa-1381	43	4	tables	table	NOUN
ijassa-1381	43	5	,	,	PUNCT
ijassa-1381	43	6	these	these	PRON
ijassa-1381	43	7	were	be	AUX
ijassa-1381	43	8	rows	row	NOUN
ijassa-1381	43	9	without	without	ADP
ijassa-1381	43	10	the	the	DET
ijassa-1381	43	11	text	text	NOUN
ijassa-1381	43	12	of	of	ADP
ijassa-1381	43	13	the	the	DET
ijassa-1381	43	14	commentary	commentary	NOUN
ijassa-1381	43	15	itself	itself	PRON
ijassa-1381	43	16	,	,	PUNCT
ijassa-1381	43	17	and	and	CCONJ
ijassa-1381	43	18	then	then	ADV
ijassa-1381	43	19	they	they	PRON
ijassa-1381	43	20	were	be	AUX
ijassa-1381	43	21	checked	check	VERB
ijassa-1381	43	22	for	for	ADP
ijassa-1381	43	23	duplicates	duplicate	NOUN
ijassa-1381	43	24	.	.	PUNCT
ijassa-1381	44	1	for	for	ADP
ijassa-1381	44	2	table	table	NOUN
ijassa-1381	44	3	7.3	7.3	NUM
ijassa-1381	44	4	,	,	PUNCT
ijassa-1381	44	5	uniqueness	uniqueness	NOUN
ijassa-1381	44	6	was	be	AUX
ijassa-1381	44	7	checked	check	VERB
ijassa-1381	44	8	by	by	ADP
ijassa-1381	44	9	h	h	PROPN
ijassa-1381	44	10	i	i	PROPN
ijassa-1381	44	11	d	d	PROPN
ijassa-1381	44	12	comment	comment	NOUN
ijassa-1381	44	13	,	,	PUNCT
ijassa-1381	44	14	but	but	CCONJ
ijassa-1381	44	15	during	during	ADP
ijassa-1381	44	16	encryption	encryption	NOUN
ijassa-1381	44	17	,	,	PUNCT
ijassa-1381	44	18	some	some	DET
ijassa-1381	44	19	commentaries	commentary	NOUN
ijassa-1381	44	20	received	receive	VERB
ijassa-1381	44	21	the	the	DET
ijassa-1381	44	22	same	same	ADJ
ijassa-1381	44	23	h	h	NOUN
ijassa-1381	44	24	i	i	PROPN
ijassa-1381	44	25	d	d	PROPN
ijassa-1381	44	26	comment	comment	NOUN
ijassa-1381	44	27	,	,	PUNCT
ijassa-1381	44	28	so	so	CCONJ
ijassa-1381	44	29	it	it	PRON
ijassa-1381	44	30	was	be	AUX
ijassa-1381	44	31	necessary	necessary	ADJ
ijassa-1381	44	32	to	to	PART
ijassa-1381	44	33	change	change	VERB
ijassa-1381	44	34	this	this	DET
ijassa-1381	44	35	hash	hash	NOUN
ijassa-1381	44	36	to	to	PART
ijassa-1381	44	37	avoid	avoid	VERB
ijassa-1381	44	38	throwing	throw	VERB
ijassa-1381	44	39	away	away	ADP
ijassa-1381	44	40	false	false	ADJ
ijassa-1381	44	41	duplicates	duplicate	NOUN
ijassa-1381	44	42	.	.	PUNCT
ijassa-1381	45	1	as	as	ADP
ijassa-1381	45	2	a	a	DET
ijassa-1381	45	3	result	result	NOUN
ijassa-1381	45	4	,	,	PUNCT
ijassa-1381	45	5	after	after	ADP
ijassa-1381	45	6	cleaning	clean	VERB
ijassa-1381	45	7	,	,	PUNCT
ijassa-1381	45	8	2.2	2.2	NUM
ijassa-1381	45	9	million	million	NUM
ijassa-1381	45	10	records	record	NOUN
ijassa-1381	45	11	remained	remain	VERB
ijassa-1381	45	12	.	.	PUNCT
ijassa-1381	46	1	the	the	DET
ijassa-1381	46	2	first	first	ADJ
ijassa-1381	46	3	thing	thing	NOUN
ijassa-1381	46	4	to	to	PART
ijassa-1381	46	5	look	look	VERB
ijassa-1381	46	6	at	at	ADP
ijassa-1381	46	7	is	be	AUX
ijassa-1381	46	8	the	the	DET
ijassa-1381	46	9	opinions	opinion	NOUN
ijassa-1381	46	10	over	over	ADP
ijassa-1381	46	11	the	the	DET
ijassa-1381	46	12	entire	entire	ADJ
ijassa-1381	46	13	period	period	NOUN
ijassa-1381	46	14	,	,	PUNCT
ijassa-1381	46	15	using	use	VERB
ijassa-1381	46	16	table	table	NOUN
ijassa-1381	46	17	7.3	7.3	NUM
ijassa-1381	46	18	as	as	ADP
ijassa-1381	46	19	a	a	DET
ijassa-1381	46	20	basis	basis	NOUN
ijassa-1381	46	21	,	,	PUNCT
ijassa-1381	46	22	which	which	PRON
ijassa-1381	46	23	was	be	AUX
ijassa-1381	46	24	labeled	label	VERB
ijassa-1381	46	25	by	by	ADP
ijassa-1381	46	26	the	the	DET
ijassa-1381	46	27	bert	bert	NOUN
ijassa-1381	46	28	-	-	PUNCT
ijassa-1381	46	29	based	base	VERB
ijassa-1381	46	30	model	model	NOUN
ijassa-1381	46	31	with	with	ADP
ijassa-1381	46	32	an	an	DET
ijassa-1381	46	33	accuracy	accuracy	NOUN
ijassa-1381	46	34	of	of	ADP
ijassa-1381	46	35	73.10	73.10	NUM
ijassa-1381	46	36	%	%	NOUN
ijassa-1381	46	37	,	,	PUNCT
ijassa-1381	46	38	trained	train	VERB
ijassa-1381	46	39	on	on	ADP
ijassa-1381	46	40	labeled	label	VERB
ijassa-1381	46	41	samples	sample	NOUN
ijassa-1381	46	42	.	.	PUNCT
ijassa-1381	47	1	this	this	PRON
ijassa-1381	47	2	will	will	AUX
ijassa-1381	47	3	be	be	AUX
ijassa-1381	47	4	described	describe	VERB
ijassa-1381	47	5	in	in	ADP
ijassa-1381	47	6	the	the	DET
ijassa-1381	47	7	article	article	NOUN
ijassa-1381	47	8	below	below	ADV
ijassa-1381	47	9	.	.	PUNCT
ijassa-1381	48	1	first	first	ADV
ijassa-1381	48	2	,	,	PUNCT
ijassa-1381	48	3	relevant	relevant	ADJ
ijassa-1381	48	4	commentaries	commentary	NOUN
ijassa-1381	48	5	were	be	AUX
ijassa-1381	48	6	taken	take	VERB
ijassa-1381	48	7	from	from	ADP
ijassa-1381	48	8	a	a	DET
ijassa-1381	48	9	large	large	ADJ
ijassa-1381	48	10	dictionary	dictionary	NOUN
ijassa-1381	48	11	,	,	PUNCT
ijassa-1381	48	12	and	and	CCONJ
ijassa-1381	48	13	now	now	ADV
ijassa-1381	48	14	the	the	DET
ijassa-1381	48	15	table	table	NOUN
ijassa-1381	48	16	has	have	VERB
ijassa-1381	48	17	400	400	NUM
ijassa-1381	48	18	000	000	NUM
ijassa-1381	48	19	records	record	NOUN
ijassa-1381	48	20	.	.	PUNCT
ijassa-1381	49	1	then	then	ADV
ijassa-1381	49	2	,	,	PUNCT
ijassa-1381	49	3	records	record	NOUN
ijassa-1381	49	4	with	with	ADP
ijassa-1381	49	5	likes	like	NOUN
ijassa-1381	49	6	of	of	ADP
ijassa-1381	49	7	these	these	DET
ijassa-1381	49	8	comments	comment	NOUN
ijassa-1381	49	9	from	from	ADP
ijassa-1381	49	10	table	table	NOUN
ijassa-1381	49	11	7.5	7.5	NUM
ijassa-1381	49	12	were	be	AUX
ijassa-1381	49	13	added	add	VERB
ijassa-1381	49	14	to	to	ADP
ijassa-1381	49	15	this	this	DET
ijassa-1381	49	16	table	table	NOUN
ijassa-1381	49	17	of	of	ADP
ijassa-1381	49	18	comments	comment	NOUN
ijassa-1381	49	19	.	.	PUNCT
ijassa-1381	50	1	the	the	DET
ijassa-1381	50	2	opinion	opinion	NOUN
ijassa-1381	50	3	of	of	ADP
ijassa-1381	50	4	the	the	DET
ijassa-1381	50	5	liker	liker	NOUN
ijassa-1381	50	6	is	be	AUX
ijassa-1381	50	7	considered	consider	VERB
ijassa-1381	50	8	being	be	AUX
ijassa-1381	50	9	like	like	ADP
ijassa-1381	50	10	the	the	DET
ijassa-1381	50	11	opinion	opinion	NOUN
ijassa-1381	50	12	of	of	ADP
ijassa-1381	50	13	the	the	DET
ijassa-1381	50	14	commentary	commentary	NOUN
ijassa-1381	50	15	on	on	ADP
ijassa-1381	50	16	which	which	PRON
ijassa-1381	50	17	the	the	DET
ijassa-1381	50	18	like	like	ADJ
ijassa-1381	50	19	was	be	AUX
ijassa-1381	50	20	placed	place	VERB
ijassa-1381	50	21	.	.	PUNCT
ijassa-1381	51	1	as	as	ADP
ijassa-1381	51	2	a	a	DET
ijassa-1381	51	3	result	result	NOUN
ijassa-1381	51	4	,	,	PUNCT
ijassa-1381	51	5	the	the	DET
ijassa-1381	51	6	charts	chart	NOUN
ijassa-1381	51	7	of	of	ADP
ijassa-1381	51	8	relative	relative	ADJ
ijassa-1381	51	9	and	and	CCONJ
ijassa-1381	51	10	absolute	absolute	ADJ
ijassa-1381	51	11	values	value	NOUN
ijassa-1381	51	12	of	of	ADP
ijassa-1381	51	13	”	"	PUNCT
ijassa-1381	51	14	for	for	ADP
ijassa-1381	51	15	”	"	PUNCT
ijassa-1381	51	16	and	and	CCONJ
ijassa-1381	51	17	”	"	PUNCT
ijassa-1381	51	18	against	against	ADP
ijassa-1381	51	19	”	"	PUNCT
ijassa-1381	51	20	opinions	opinion	NOUN
ijassa-1381	51	21	are	be	AUX
ijassa-1381	51	22	presented	present	VERB
ijassa-1381	51	23	in	in	ADP
ijassa-1381	51	24	figure	figure	NOUN
ijassa-1381	51	25	1.1	1.1	NUM
ijassa-1381	51	26	.	.	PUNCT
ijassa-1381	52	1	the	the	DET
ijassa-1381	52	2	analysis	analysis	NOUN
ijassa-1381	52	3	was	be	AUX
ijassa-1381	52	4	conducted	conduct	VERB
ijassa-1381	52	5	without	without	ADP
ijassa-1381	52	6	considering	consider	VERB
ijassa-1381	52	7	comments	comment	NOUN
ijassa-1381	52	8	and	and	CCONJ
ijassa-1381	52	9	likes	like	NOUN
ijassa-1381	52	10	with	with	ADP
ijassa-1381	52	11	the	the	DET
ijassa-1381	52	12	opinion	opinion	NOUN
ijassa-1381	52	13	”	"	PUNCT
ijassa-1381	52	14	unknown	unknown	ADJ
ijassa-1381	52	15	=	=	NOUN
ijassa-1381	52	16	0	0	NUM
ijassa-1381	52	17	”	"	PUNCT
ijassa-1381	52	18	.	.	PUNCT
ijassa-1381	53	1	according	accord	VERB
ijassa-1381	53	2	to	to	ADP
ijassa-1381	53	3	the	the	DET
ijassa-1381	53	4	relative	relative	ADJ
ijassa-1381	53	5	graph	graph	NOUN
ijassa-1381	53	6	,	,	PUNCT
ijassa-1381	53	7	we	we	PRON
ijassa-1381	53	8	can	can	AUX
ijassa-1381	53	9	see	see	VERB
ijassa-1381	53	10	that	that	SCONJ
ijassa-1381	53	11	the	the	DET
ijassa-1381	53	12	average	average	NOUN
ijassa-1381	53	13	”	"	PUNCT
ijassa-1381	53	14	for	for	ADP
ijassa-1381	53	15	”	"	PUNCT
ijassa-1381	53	16	(	(	PUNCT
ijassa-1381	53	17	and	and	CCONJ
ijassa-1381	53	18	”	"	PUNCT
ijassa-1381	53	19	against	against	ADP
ijassa-1381	53	20	”	"	PUNCT
ijassa-1381	53	21	as	as	ADV
ijassa-1381	53	22	well	well	ADV
ijassa-1381	53	23	)	)	PUNCT
ijassa-1381	53	24	opinion	opinion	NOUN
ijassa-1381	53	25	remains	remain	VERB
ijassa-1381	53	26	unchanged	unchanged	ADJ
ijassa-1381	53	27	and	and	CCONJ
ijassa-1381	53	28	hovers	hover	NOUN
ijassa-1381	53	29	around	around	ADP
ijassa-1381	53	30	30	30	NUM
ijassa-1381	53	31	%	%	NOUN
ijassa-1381	53	32	.	.	PUNCT
ijassa-1381	54	1	peaks	peak	NOUN
ijassa-1381	54	2	of	of	ADP
ijassa-1381	54	3	activity	activity	NOUN
ijassa-1381	54	4	are	be	AUX
ijassa-1381	54	5	clearly	clearly	ADV
ijassa-1381	54	6	visible	visible	ADJ
ijassa-1381	54	7	on	on	ADP
ijassa-1381	54	8	the	the	DET
ijassa-1381	54	9	absolute	absolute	ADJ
ijassa-1381	54	10	value	value	NOUN
ijassa-1381	54	11	graph	graph	NOUN
ijassa-1381	54	12	.	.	PUNCT
ijassa-1381	55	1	comparing	compare	VERB
ijassa-1381	55	2	this	this	DET
ijassa-1381	55	3	graph	graph	NOUN
ijassa-1381	55	4	with	with	ADP
ijassa-1381	55	5	the	the	DET
ijassa-1381	55	6	2020	2020	NUM
ijassa-1381	55	7	disease	disease	NOUN
ijassa-1381	55	8	incidence	incidence	NOUN
ijassa-1381	55	9	,	,	PUNCT
ijassa-1381	55	10	these	these	DET
ijassa-1381	55	11	maximums	maximum	NOUN
ijassa-1381	55	12	coincide	coincide	VERB
ijassa-1381	55	13	with	with	ADP
ijassa-1381	55	14	the	the	DET
ijassa-1381	55	15	active	active	ADJ
ijassa-1381	55	16	phase	phase	NOUN
ijassa-1381	55	17	of	of	ADP
ijassa-1381	55	18	the	the	DET
ijassa-1381	55	19	first	first	ADJ
ijassa-1381	55	20	two	two	NUM
ijassa-1381	55	21	waves	wave	NOUN
ijassa-1381	55	22	of	of	ADP
ijassa-1381	55	23	disease	disease	NOUN
ijassa-1381	55	24	incidence	incidence	NOUN
ijassa-1381	55	25	growth	growth	NOUN
ijassa-1381	55	26	.	.	PUNCT
ijassa-1381	56	1	the	the	DET
ijassa-1381	56	2	plateau	plateau	NOUN
ijassa-1381	56	3	after	after	SCONJ
ijassa-1381	56	4	the	the	DET
ijassa-1381	56	5	maximums	maximum	NOUN
ijassa-1381	56	6	coincides	coincide	VERB
ijassa-1381	56	7	with	with	ADP
ijassa-1381	56	8	the	the	DET
ijassa-1381	56	9	peak	peak	NOUN
ijassa-1381	56	10	of	of	ADP
ijassa-1381	56	11	disease	disease	NOUN
ijassa-1381	56	12	incidence	incidence	NOUN
ijassa-1381	56	13	.	.	PUNCT
ijassa-1381	57	1	the	the	DET
ijassa-1381	57	2	first	first	ADJ
ijassa-1381	57	3	wave	wave	NOUN
ijassa-1381	57	4	was	be	AUX
ijassa-1381	57	5	the	the	DET
ijassa-1381	57	6	most	most	ADV
ijassa-1381	57	7	frightening	frightening	ADJ
ijassa-1381	57	8	for	for	ADP
ijassa-1381	57	9	people	people	NOUN
ijassa-1381	57	10	,	,	PUNCT
ijassa-1381	57	11	so	so	CCONJ
ijassa-1381	57	12	the	the	DET
ijassa-1381	57	13	first	first	ADJ
ijassa-1381	57	14	peak	peak	NOUN
ijassa-1381	57	15	is	be	AUX
ijassa-1381	57	16	noticeably	noticeably	ADV
ijassa-1381	57	17	higher	high	ADJ
ijassa-1381	57	18	than	than	ADP
ijassa-1381	57	19	the	the	DET
ijassa-1381	57	20	second	second	ADJ
ijassa-1381	57	21	,	,	PUNCT
ijassa-1381	57	22	although	although	SCONJ
ijassa-1381	57	23	in	in	ADP
ijassa-1381	57	24	terms	term	NOUN
ijassa-1381	57	25	of	of	ADP
ijassa-1381	57	26	infections	infection	NOUN
ijassa-1381	57	27	,	,	PUNCT
ijassa-1381	57	28	it	it	PRON
ijassa-1381	57	29	was	be	AUX
ijassa-1381	57	30	inferior	inferior	ADJ
ijassa-1381	57	31	to	to	ADP
ijassa-1381	57	32	almost	almost	ADV
ijassa-1381	57	33	all	all	DET
ijassa-1381	57	34	the	the	DET
ijassa-1381	57	35	others	other	NOUN
ijassa-1381	57	36	,	,	PUNCT
ijassa-1381	57	37	which	which	PRON
ijassa-1381	57	38	indicates	indicate	VERB
ijassa-1381	57	39	a	a	DET
ijassa-1381	57	40	trend	trend	NOUN
ijassa-1381	57	41	towards	towards	ADP
ijassa-1381	57	42	a	a	DET
ijassa-1381	57	43	decrease	decrease	NOUN
ijassa-1381	57	44	in	in	ADP
ijassa-1381	57	45	interest	interest	NOUN
ijassa-1381	57	46	in	in	ADP
ijassa-1381	57	47	the	the	DET
ijassa-1381	57	48	pandemic	pandemic	NOUN
ijassa-1381	57	49	.	.	PUNCT
ijassa-1381	58	1	2.1	2.1	NUM
ijassa-1381	58	2	.	.	PUNCT
ijassa-1381	59	1	user	user	NOUN
ijassa-1381	59	2	commentaries	commentary	NOUN
ijassa-1381	59	3	distribution	distribution	VERB
ijassa-1381	59	4	the	the	DET
ijassa-1381	59	5	distribution	distribution	NOUN
ijassa-1381	59	6	of	of	ADP
ijassa-1381	59	7	user	user	NOUN
ijassa-1381	59	8	comments	comment	NOUN
ijassa-1381	59	9	shows	show	VERB
ijassa-1381	59	10	that	that	SCONJ
ijassa-1381	59	11	211	211	NUM
ijassa-1381	59	12	000	000	NUM
ijassa-1381	59	13	unique	unique	ADJ
ijassa-1381	59	14	users	user	NOUN
ijassa-1381	59	15	wrote	write	VERB
ijassa-1381	59	16	2.2	2.2	NUM
ijassa-1381	59	17	million	million	NUM
ijassa-1381	59	18	commentaries	commentary	NOUN
ijassa-1381	59	19	throughout	throughout	ADP
ijassa-1381	59	20	the	the	DET
ijassa-1381	59	21	year	year	NOUN
ijassa-1381	59	22	,	,	PUNCT
ijassa-1381	59	23	half	half	NOUN
ijassa-1381	59	24	of	of	ADP
ijassa-1381	59	25	whom	whom	PRON
ijassa-1381	59	26	wrote	write	VERB
ijassa-1381	59	27	only	only	ADV
ijassa-1381	59	28	one	one	NUM
ijassa-1381	59	29	commentary	commentary	NOUN
ijassa-1381	59	30	.	.	PUNCT
ijassa-1381	60	1	this	this	PRON
ijassa-1381	60	2	is	be	AUX
ijassa-1381	60	3	a	a	DET
ijassa-1381	60	4	bad	bad	ADJ
ijassa-1381	60	5	copyright	copyright	NOUN
ijassa-1381	60	6	©	©	ADP
ijassa-1381	60	7	2023	2023	NUM
ijassa-1381	60	8	assa	assa	NOUN
ijassa-1381	60	9	.	.	PUNCT
ijassa-1381	61	1	adv	adv	PROPN
ijassa-1381	61	2	syst	syst	PROPN
ijassa-1381	61	3	sci	sci	PROPN
ijassa-1381	61	4	appl	appl	PROPN
ijassa-1381	61	5	(	(	PUNCT
ijassa-1381	61	6	2023	2023	NUM
ijassa-1381	61	7	)	)	PUNCT
ijassa-1381	61	8	assa	assa	NOUN
ijassa-1381	61	9	latex	latex	NOUN
ijassa-1381	61	10	template	template	NOUN
ijassa-1381	61	11	111	111	NUM
ijassa-1381	61	12	sign	sign	NOUN
ijassa-1381	61	13	for	for	ADP
ijassa-1381	61	14	us	we	PRON
ijassa-1381	61	15	because	because	SCONJ
ijassa-1381	61	16	we	we	PRON
ijassa-1381	61	17	can	can	AUX
ijassa-1381	61	18	not	not	PART
ijassa-1381	61	19	analyze	analyze	VERB
ijassa-1381	61	20	their	their	PRON
ijassa-1381	61	21	opinions	opinion	NOUN
ijassa-1381	61	22	over	over	ADP
ijassa-1381	61	23	different	different	ADJ
ijassa-1381	61	24	periods	period	NOUN
ijassa-1381	61	25	of	of	ADP
ijassa-1381	61	26	time	time	NOUN
ijassa-1381	61	27	,	,	PUNCT
ijassa-1381	61	28	but	but	CCONJ
ijassa-1381	61	29	we	we	PRON
ijassa-1381	61	30	still	still	ADV
ijassa-1381	61	31	need	need	VERB
ijassa-1381	61	32	to	to	PART
ijassa-1381	61	33	monitor	monitor	VERB
ijassa-1381	61	34	their	their	PRON
ijassa-1381	61	35	influence	influence	NOUN
ijassa-1381	61	36	on	on	ADP
ijassa-1381	61	37	others	other	NOUN
ijassa-1381	61	38	.	.	PUNCT
ijassa-1381	62	1	90	90	NUM
ijassa-1381	62	2	%	%	NOUN
ijassa-1381	62	3	of	of	ADP
ijassa-1381	62	4	users	user	NOUN
ijassa-1381	62	5	wrote	write	VERB
ijassa-1381	62	6	fewer	few	ADJ
ijassa-1381	62	7	than	than	ADP
ijassa-1381	62	8	15	15	NUM
ijassa-1381	62	9	comments	comment	NOUN
ijassa-1381	62	10	in	in	ADP
ijassa-1381	62	11	a	a	DET
ijassa-1381	62	12	year	year	NOUN
ijassa-1381	62	13	.	.	PUNCT
ijassa-1381	63	1	a	a	DET
ijassa-1381	63	2	graph	graph	NOUN
ijassa-1381	63	3	of	of	ADP
ijassa-1381	63	4	the	the	DET
ijassa-1381	63	5	density	density	NOUN
ijassa-1381	63	6	distribution	distribution	NOUN
ijassa-1381	63	7	of	of	ADP
ijassa-1381	63	8	commenting	comment	VERB
ijassa-1381	63	9	frequency	frequency	NOUN
ijassa-1381	63	10	for	for	ADP
ijassa-1381	63	11	all	all	DET
ijassa-1381	63	12	users	user	NOUN
ijassa-1381	63	13	(	(	PUNCT
ijassa-1381	63	14	on	on	ADP
ijassa-1381	63	15	a	a	DET
ijassa-1381	63	16	logarithmic	logarithmic	ADJ
ijassa-1381	63	17	scale	scale	NOUN
ijassa-1381	63	18	)	)	PUNCT
ijassa-1381	63	19	is	be	AUX
ijassa-1381	63	20	presented	present	VERB
ijassa-1381	63	21	in	in	ADP
ijassa-1381	63	22	figure	figure	NOUN
ijassa-1381	63	23	2.2	2.2	NUM
ijassa-1381	63	24	.	.	PUNCT
ijassa-1381	64	1	we	we	PRON
ijassa-1381	64	2	were	be	AUX
ijassa-1381	64	3	able	able	ADJ
ijassa-1381	64	4	to	to	PART
ijassa-1381	64	5	verify	verify	VERB
ijassa-1381	64	6	that	that	SCONJ
ijassa-1381	64	7	this	this	PRON
ijassa-1381	64	8	is	be	AUX
ijassa-1381	64	9	a	a	DET
ijassa-1381	64	10	power	power	NOUN
ijassa-1381	64	11	-	-	PUNCT
ijassa-1381	64	12	law	law	NOUN
ijassa-1381	64	13	distribution	distribution	NOUN
ijassa-1381	64	14	with	with	ADP
ijassa-1381	64	15	a	a	DET
ijassa-1381	64	16	heavy	heavy	ADJ
ijassa-1381	64	17	tail	tail	NOUN
ijassa-1381	64	18	,	,	PUNCT
ijassa-1381	64	19	f(x	f(x	PROPN
ijassa-1381	64	20	)	)	PUNCT
ijassa-1381	65	1	=	=	PUNCT
ijassa-1381	65	2	0.1357	0.1357	NUM
ijassa-1381	65	3	(	(	PUNCT
ijassa-1381	65	4	x	x	NOUN
ijassa-1381	65	5	4222	4222	NUM
ijassa-1381	65	6	)	)	PUNCT
ijassa-1381	66	1	−(0.1357	−(0.1357	PUNCT
ijassa-1381	66	2	+	+	NOUN
ijassa-1381	66	3	1	1	NUM
ijassa-1381	66	4	)	)	PUNCT
ijassa-1381	66	5	.	.	PUNCT
ijassa-1381	67	1	2.2	2.2	NUM
ijassa-1381	67	2	.	.	PUNCT
ijassa-1381	67	3	distributions	distribution	NOUN
ijassa-1381	67	4	by	by	ADP
ijassa-1381	67	5	groups	group	NOUN
ijassa-1381	67	6	and	and	CCONJ
ijassa-1381	67	7	posts	post	NOUN
ijassa-1381	67	8	figure	figure	VERB
ijassa-1381	67	9	2.3	2.3	NUM
ijassa-1381	67	10	shows	show	VERB
ijassa-1381	67	11	a	a	DET
ijassa-1381	67	12	histogram	histogram	NOUN
ijassa-1381	67	13	for	for	ADP
ijassa-1381	67	14	communities	community	NOUN
ijassa-1381	67	15	with	with	ADP
ijassa-1381	67	16	over	over	ADP
ijassa-1381	67	17	1000	1000	NUM
ijassa-1381	67	18	comments	comment	NOUN
ijassa-1381	67	19	(	(	PUNCT
ijassa-1381	67	20	20	20	NUM
ijassa-1381	67	21	in	in	ADP
ijassa-1381	67	22	total	total	NOUN
ijassa-1381	67	23	)	)	PUNCT
ijassa-1381	67	24	.	.	PUNCT
ijassa-1381	68	1	”	"	PUNCT
ijassa-1381	68	2	for	for	ADP
ijassa-1381	68	3	”	"	PUNCT
ijassa-1381	68	4	opinions	opinion	NOUN
ijassa-1381	68	5	range	range	VERB
ijassa-1381	68	6	from	from	ADP
ijassa-1381	68	7	26–40	26–40	NUM
ijassa-1381	68	8	%	%	NOUN
ijassa-1381	68	9	(	(	PUNCT
ijassa-1381	68	10	table	table	NOUN
ijassa-1381	68	11	7.4	7.4	NUM
ijassa-1381	68	12	is	be	AUX
ijassa-1381	68	13	used	use	VERB
ijassa-1381	68	14	)	)	PUNCT
ijassa-1381	68	15	.	.	PUNCT
ijassa-1381	69	1	fig	fig	NOUN
ijassa-1381	69	2	.	.	PUNCT
ijassa-1381	70	1	2.3	2.3	NUM
ijassa-1381	70	2	.	.	PUNCT
ijassa-1381	70	3	histogram	histogram	NOUN
ijassa-1381	70	4	for	for	ADP
ijassa-1381	70	5	communities	community	NOUN
ijassa-1381	70	6	with	with	ADP
ijassa-1381	70	7	over	over	ADP
ijassa-1381	70	8	1000	1000	NUM
ijassa-1381	70	9	comments	comment	NOUN
ijassa-1381	70	10	communities	community	NOUN
ijassa-1381	70	11	with	with	ADP
ijassa-1381	70	12	polar	polar	ADJ
ijassa-1381	70	13	opinions	opinion	NOUN
ijassa-1381	70	14	(	(	PUNCT
ijassa-1381	70	15	names	name	NOUN
ijassa-1381	70	16	are	be	AUX
ijassa-1381	70	17	hashed	hash	VERB
ijassa-1381	70	18	):	):	PUNCT
ijassa-1381	70	19	417	417	NUM
ijassa-1381	70	20	...	...	PUNCT
ijassa-1381	70	21	:	:	PUNCT
ijassa-1381	70	22	26	26	NUM
ijassa-1381	70	23	%	%	NOUN
ijassa-1381	70	24	support	support	NOUN
ijassa-1381	70	25	(	(	PUNCT
ijassa-1381	70	26	20	20	NUM
ijassa-1381	70	27	%	%	NOUN
ijassa-1381	70	28	if	if	SCONJ
ijassa-1381	70	29	likes	like	NOUN
ijassa-1381	70	30	are	be	AUX
ijassa-1381	70	31	considered	consider	VERB
ijassa-1381	70	32	)	)	PUNCT
ijassa-1381	70	33	,	,	PUNCT
ijassa-1381	70	34	366	366	NUM
ijassa-1381	70	35	...	...	PUNCT
ijassa-1381	70	36	:	:	PUNCT
ijassa-1381	70	37	40	40	NUM
ijassa-1381	70	38	%	%	NOUN
ijassa-1381	70	39	support	support	NOUN
ijassa-1381	70	40	(	(	PUNCT
ijassa-1381	70	41	by	by	ADP
ijassa-1381	70	42	comments	comment	NOUN
ijassa-1381	70	43	only	only	ADV
ijassa-1381	70	44	)	)	PUNCT
ijassa-1381	70	45	,	,	PUNCT
ijassa-1381	70	46	f1d	f1d	NOUN
ijassa-1381	70	47	...	...	PUNCT
ijassa-1381	70	48	:	:	PUNCT
ijassa-1381	70	49	40	40	NUM
ijassa-1381	70	50	%	%	NOUN
ijassa-1381	70	51	support	support	NOUN
ijassa-1381	70	52	(	(	PUNCT
ijassa-1381	70	53	by	by	ADP
ijassa-1381	70	54	comments	comment	NOUN
ijassa-1381	70	55	and	and	CCONJ
ijassa-1381	70	56	likes	like	NOUN
ijassa-1381	70	57	)	)	PUNCT
ijassa-1381	70	58	.	.	PUNCT
ijassa-1381	71	1	next	next	ADV
ijassa-1381	71	2	,	,	PUNCT
ijassa-1381	71	3	we	we	PRON
ijassa-1381	71	4	will	will	AUX
ijassa-1381	71	5	analyze	analyze	VERB
ijassa-1381	71	6	opinions	opinion	NOUN
ijassa-1381	71	7	on	on	ADP
ijassa-1381	71	8	posts	post	NOUN
ijassa-1381	71	9	from	from	ADP
ijassa-1381	71	10	the	the	DET
ijassa-1381	71	11	selected	select	VERB
ijassa-1381	71	12	communities	community	NOUN
ijassa-1381	71	13	(	(	PUNCT
ijassa-1381	71	14	20	20	NUM
ijassa-1381	71	15	out	out	ADP
ijassa-1381	71	16	of	of	ADP
ijassa-1381	71	17	62	62	NUM
ijassa-1381	71	18	)	)	PUNCT
ijassa-1381	71	19	in	in	ADP
ijassa-1381	71	20	figures	figure	NOUN
ijassa-1381	71	21	2.4	2.4	NUM
ijassa-1381	71	22	and	and	CCONJ
ijassa-1381	71	23	2.5	2.5	NUM
ijassa-1381	71	24	.	.	PUNCT
ijassa-1381	72	1	half	half	NOUN
ijassa-1381	72	2	of	of	ADP
ijassa-1381	72	3	the	the	DET
ijassa-1381	72	4	posts	post	NOUN
ijassa-1381	72	5	have	have	VERB
ijassa-1381	72	6	only	only	ADV
ijassa-1381	72	7	a	a	DET
ijassa-1381	72	8	few	few	ADJ
ijassa-1381	72	9	commentaries	commentary	NOUN
ijassa-1381	72	10	,	,	PUNCT
ijassa-1381	72	11	so	so	SCONJ
ijassa-1381	72	12	it	it	PRON
ijassa-1381	72	13	was	be	AUX
ijassa-1381	72	14	decided	decide	VERB
ijassa-1381	72	15	not	not	PART
ijassa-1381	72	16	to	to	PART
ijassa-1381	72	17	consider	consider	VERB
ijassa-1381	72	18	posts	post	NOUN
ijassa-1381	72	19	with	with	ADP
ijassa-1381	72	20	less	less	ADJ
ijassa-1381	72	21	than	than	ADP
ijassa-1381	72	22	10	10	NUM
ijassa-1381	72	23	commentaries	commentary	NOUN
ijassa-1381	72	24	to	to	PART
ijassa-1381	72	25	avoid	avoid	VERB
ijassa-1381	72	26	getting	get	VERB
ijassa-1381	72	27	anomalous	anomalous	ADJ
ijassa-1381	72	28	average	average	ADJ
ijassa-1381	72	29	opinions	opinion	NOUN
ijassa-1381	72	30	”	"	PUNCT
ijassa-1381	72	31	for	for	ADP
ijassa-1381	72	32	”	"	PUNCT
ijassa-1381	72	33	and	and	CCONJ
ijassa-1381	72	34	”	"	PUNCT
ijassa-1381	72	35	against	against	ADP
ijassa-1381	72	36	”	"	PUNCT
ijassa-1381	72	37	.	.	PUNCT
ijassa-1381	73	1	fig	fig	NOUN
ijassa-1381	73	2	.	.	PUNCT
ijassa-1381	74	1	2.4	2.4	NUM
ijassa-1381	74	2	.	.	PUNCT
ijassa-1381	75	1	histograms	histogram	NOUN
ijassa-1381	75	2	without	without	ADP
ijassa-1381	75	3	considering	consider	VERB
ijassa-1381	75	4	likes	like	NOUN
ijassa-1381	75	5	in	in	ADP
ijassa-1381	75	6	the	the	DET
ijassa-1381	75	7	first	first	ADJ
ijassa-1381	75	8	histogram	histogram	NOUN
ijassa-1381	75	9	,	,	PUNCT
ijassa-1381	75	10	the	the	DET
ijassa-1381	75	11	density	density	NOUN
ijassa-1381	75	12	distribution	distribution	NOUN
ijassa-1381	75	13	is	be	AUX
ijassa-1381	75	14	shown	show	VERB
ijassa-1381	75	15	for	for	ADP
ijassa-1381	75	16	very	very	ADV
ijassa-1381	75	17	active	active	ADJ
ijassa-1381	75	18	posts	post	NOUN
ijassa-1381	75	19	with	with	ADP
ijassa-1381	75	20	up	up	ADP
ijassa-1381	75	21	to	to	PART
ijassa-1381	75	22	70	70	NUM
ijassa-1381	75	23	commentaries	commentary	NOUN
ijassa-1381	75	24	,	,	PUNCT
ijassa-1381	75	25	compared	compare	VERB
ijassa-1381	75	26	to	to	ADP
ijassa-1381	75	27	the	the	DET
ijassa-1381	75	28	second	second	ADJ
ijassa-1381	75	29	histogram	histogram	NOUN
ijassa-1381	75	30	,	,	PUNCT
ijassa-1381	75	31	which	which	PRON
ijassa-1381	75	32	only	only	ADV
ijassa-1381	75	33	includes	include	VERB
ijassa-1381	75	34	posts	post	NOUN
ijassa-1381	75	35	with	with	ADP
ijassa-1381	75	36	average	average	ADJ
ijassa-1381	75	37	copyright	copyright	NOUN
ijassa-1381	75	38	©	©	PROPN
ijassa-1381	75	39	2023	2023	NUM
ijassa-1381	75	40	assa	assa	NOUN
ijassa-1381	75	41	.	.	PUNCT
ijassa-1381	76	1	adv	adv	PROPN
ijassa-1381	76	2	syst	syst	PROPN
ijassa-1381	76	3	sci	sci	PROPN
ijassa-1381	76	4	appl	appl	PROPN
ijassa-1381	76	5	(	(	PUNCT
ijassa-1381	76	6	2023	2023	NUM
ijassa-1381	76	7	)	)	PUNCT
ijassa-1381	76	8	112	112	NUM
ijassa-1381	76	9	d.	d.	PROPN
ijassa-1381	76	10	gubanov	gubanov	PROPN
ijassa-1381	76	11	,	,	PUNCT
ijassa-1381	76	12	a.	a.	NOUN
ijassa-1381	76	13	chkhartishvili	chkhartishvili	NOUN
ijassa-1381	76	14	,	,	PUNCT
ijassa-1381	76	15	v.	v.	CCONJ
ijassa-1381	76	16	melnichuk	melnichuk	PROPN
ijassa-1381	76	17	,	,	PUNCT
ijassa-1381	76	18	v.	v.	ADP
ijassa-1381	76	19	sych	sych	PROPN
ijassa-1381	76	20	activity	activity	NOUN
ijassa-1381	76	21	.	.	PUNCT
ijassa-1381	77	1	it	it	PRON
ijassa-1381	77	2	is	be	AUX
ijassa-1381	77	3	evident	evident	ADJ
ijassa-1381	77	4	that	that	SCONJ
ijassa-1381	77	5	the	the	DET
ijassa-1381	77	6	second	second	ADJ
ijassa-1381	77	7	graph	graph	NOUN
ijassa-1381	77	8	is	be	AUX
ijassa-1381	77	9	more	more	ADV
ijassa-1381	77	10	biased	biased	ADJ
ijassa-1381	77	11	towards	towards	ADP
ijassa-1381	77	12	lower	low	ADJ
ijassa-1381	77	13	support	support	NOUN
ijassa-1381	77	14	for	for	ADP
ijassa-1381	77	15	covid	covid	NOUN
ijassa-1381	77	16	measures	measure	NOUN
ijassa-1381	77	17	.	.	PUNCT
ijassa-1381	78	1	when	when	SCONJ
ijassa-1381	78	2	taking	take	VERB
ijassa-1381	78	3	into	into	ADP
ijassa-1381	78	4	account	account	NOUN
ijassa-1381	78	5	the	the	DET
ijassa-1381	78	6	likes	like	NOUN
ijassa-1381	78	7	,	,	PUNCT
ijassa-1381	78	8	historgrams	historgram	NOUN
ijassa-1381	78	9	changes	change	NOUN
ijassa-1381	78	10	(	(	PUNCT
ijassa-1381	78	11	fig	fig	NOUN
ijassa-1381	78	12	.	.	PUNCT
ijassa-1381	78	13	2.5	2.5	NUM
ijassa-1381	78	14	)	)	PUNCT
ijassa-1381	78	15	.	.	PUNCT
ijassa-1381	79	1	fig	fig	NOUN
ijassa-1381	79	2	.	.	PUNCT
ijassa-1381	80	1	2.5	2.5	NUM
ijassa-1381	80	2	.	.	PUNCT
ijassa-1381	81	1	histograms	histogram	NOUN
ijassa-1381	81	2	with	with	ADP
ijassa-1381	81	3	consideration	consideration	NOUN
ijassa-1381	81	4	of	of	ADP
ijassa-1381	81	5	likes	like	NOUN
ijassa-1381	81	6	and	and	CCONJ
ijassa-1381	81	7	commentaries	commentary	NOUN
ijassa-1381	81	8	on	on	ADP
ijassa-1381	81	9	the	the	DET
ijassa-1381	81	10	histogram	histogram	NOUN
ijassa-1381	81	11	for	for	ADP
ijassa-1381	81	12	regular	regular	ADJ
ijassa-1381	81	13	activity	activity	NOUN
ijassa-1381	81	14	posts	post	NOUN
ijassa-1381	81	15	,	,	PUNCT
ijassa-1381	81	16	it	it	PRON
ijassa-1381	81	17	can	can	AUX
ijassa-1381	81	18	be	be	AUX
ijassa-1381	81	19	seen	see	VERB
ijassa-1381	81	20	that	that	SCONJ
ijassa-1381	81	21	support	support	NOUN
ijassa-1381	81	22	for	for	ADP
ijassa-1381	81	23	polarizing	polarizing	NOUN
ijassa-1381	81	24	opinions	opinion	NOUN
ijassa-1381	81	25	,	,	PUNCT
ijassa-1381	81	26	especially	especially	ADV
ijassa-1381	81	27	negative	negative	ADJ
ijassa-1381	81	28	ones	one	NOUN
ijassa-1381	81	29	,	,	PUNCT
ijassa-1381	81	30	has	have	AUX
ijassa-1381	81	31	increased	increase	VERB
ijassa-1381	81	32	[	[	PUNCT
ijassa-1381	81	33	17	17	NUM
ijassa-1381	81	34	]	]	PUNCT
ijassa-1381	81	35	.	.	PUNCT
ijassa-1381	82	1	this	this	PRON
ijassa-1381	82	2	means	mean	VERB
ijassa-1381	82	3	that	that	SCONJ
ijassa-1381	82	4	provocative	provocative	ADJ
ijassa-1381	82	5	comments	comment	NOUN
ijassa-1381	82	6	are	be	AUX
ijassa-1381	82	7	more	more	ADV
ijassa-1381	82	8	often	often	ADV
ijassa-1381	82	9	written	write	VERB
ijassa-1381	82	10	in	in	ADP
ijassa-1381	82	11	a	a	DET
ijassa-1381	82	12	negative	negative	ADJ
ijassa-1381	82	13	tone	tone	NOUN
ijassa-1381	82	14	.	.	PUNCT
ijassa-1381	83	1	posts	post	NOUN
ijassa-1381	83	2	with	with	ADP
ijassa-1381	83	3	polarizing	polarize	VERB
ijassa-1381	83	4	opinions	opinion	NOUN
ijassa-1381	83	5	are	be	AUX
ijassa-1381	83	6	presented	present	VERB
ijassa-1381	83	7	in	in	ADP
ijassa-1381	83	8	table	table	NOUN
ijassa-1381	83	9	2.1	2.1	NUM
ijassa-1381	83	10	.	.	PUNCT
ijassa-1381	84	1	table	table	NOUN
ijassa-1381	84	2	2.1	2.1	NUM
ijassa-1381	84	3	.	.	PUNCT
ijassa-1381	85	1	posts	post	NOUN
ijassa-1381	85	2	with	with	ADP
ijassa-1381	85	3	polarizing	polarize	VERB
ijassa-1381	85	4	opinions	opinion	NOUN
ijassa-1381	85	5	label	label	NOUN
ijassa-1381	85	6	h	h	NOUN
ijassa-1381	85	7	post	post	NOUN
ijassa-1381	86	1	i	i	PROPN
ijassa-1381	86	2	d	d	PROPN
ijassa-1381	86	3	-1	-1	PROPN
ijassa-1381	86	4	0	0	NUM
ijassa-1381	86	5	1	1	NUM
ijassa-1381	86	6	pros	pro	NOUN
ijassa-1381	86	7	379	379	NUM
ijassa-1381	86	8	8bd	8bd	ADJ
ijassa-1381	86	9	...	...	PUNCT
ijassa-1381	86	10	732	732	NUM
ijassa-1381	86	11	187	187	NUM
ijassa-1381	86	12	34	34	NUM
ijassa-1381	86	13	4.43	4.43	NUM
ijassa-1381	86	14	419	419	NUM
ijassa-1381	86	15	d0d	d0d	X
ijassa-1381	86	16	...	...	PUNCT
ijassa-1381	86	17	129	129	NUM
ijassa-1381	86	18	59	59	NUM
ijassa-1381	86	19	6	6	NUM
ijassa-1381	86	20	4.44	4.44	NUM
ijassa-1381	86	21	...	...	PUNCT
ijassa-1381	86	22	...	...	PUNCT
ijassa-1381	86	23	...	...	PUNCT
ijassa-1381	86	24	...	...	PUNCT
ijassa-1381	86	25	...	...	PUNCT
ijassa-1381	86	26	...	...	PUNCT
ijassa-1381	87	1	63	63	NUM
ijassa-1381	87	2	212	212	NUM
ijassa-1381	87	3	...	...	PUNCT
ijassa-1381	87	4	53	53	NUM
ijassa-1381	87	5	52	52	NUM
ijassa-1381	87	6	240	240	NUM
ijassa-1381	87	7	81.91	81.91	NUM
ijassa-1381	87	8	210	210	NUM
ijassa-1381	87	9	6c0	6c0	NUM
ijassa-1381	87	10	...	...	PUNCT
ijassa-1381	87	11	96	96	NUM
ijassa-1381	87	12	77	77	NUM
ijassa-1381	87	13	691	691	NUM
ijassa-1381	87	14	87.80	87.80	NUM
ijassa-1381	87	15	examples	example	NOUN
ijassa-1381	87	16	of	of	ADP
ijassa-1381	87	17	posts	post	NOUN
ijassa-1381	87	18	with	with	ADP
ijassa-1381	87	19	negative	negative	ADJ
ijassa-1381	87	20	reviews	review	NOUN
ijassa-1381	87	21	contain	contain	VERB
ijassa-1381	87	22	the	the	DET
ijassa-1381	87	23	following	follow	VERB
ijassa-1381	87	24	news	news	NOUN
ijassa-1381	87	25	:	:	PUNCT
ijassa-1381	87	26	1	1	X
ijassa-1381	87	27	.	.	X
ijassa-1381	88	1	it	it	PRON
ijassa-1381	88	2	’s	’	VERB
ijassa-1381	88	3	now	now	ADV
ijassa-1381	88	4	almost	almost	ADV
ijassa-1381	88	5	official	official	ADJ
ijassa-1381	88	6	:	:	PUNCT
ijassa-1381	88	7	russia	russia	PROPN
ijassa-1381	88	8	has	have	VERB
ijassa-1381	88	9	the	the	DET
ijassa-1381	88	10	highest	high	ADJ
ijassa-1381	88	11	number	number	NOUN
ijassa-1381	88	12	of	of	ADP
ijassa-1381	88	13	covid-19	covid-19	PROPN
ijassa-1381	88	14	deaths	death	NOUN
ijassa-1381	88	15	per	per	ADP
ijassa-1381	88	16	capita	capita	NOUN
ijassa-1381	88	17	.	.	PUNCT
ijassa-1381	89	1	this	this	PRON
ijassa-1381	89	2	results	result	VERB
ijassa-1381	89	3	from	from	ADP
ijassa-1381	89	4	the	the	DET
ijassa-1381	89	5	actions	action	NOUN
ijassa-1381	89	6	of	of	ADP
ijassa-1381	89	7	the	the	DET
ijassa-1381	89	8	authorities	authority	NOUN
ijassa-1381	89	9	in	in	ADP
ijassa-1381	89	10	the	the	DET
ijassa-1381	89	11	summer	summer	NOUN
ijassa-1381	89	12	of	of	ADP
ijassa-1381	89	13	2020	2020	NUM
ijassa-1381	89	14	.	.	PUNCT
ijassa-1381	90	1	2	2	X
ijassa-1381	90	2	.	.	X
ijassa-1381	90	3	the	the	DET
ijassa-1381	90	4	last	last	ADJ
ijassa-1381	90	5	tests	test	NOUN
ijassa-1381	90	6	for	for	ADP
ijassa-1381	90	7	a	a	DET
ijassa-1381	90	8	new	new	ADJ
ijassa-1381	90	9	vaccine	vaccine	NOUN
ijassa-1381	90	10	against	against	ADP
ijassa-1381	90	11	covid-19	covid-19	PROPN
ijassa-1381	90	12	are	be	AUX
ijassa-1381	90	13	underway	underway	ADJ
ijassa-1381	90	14	in	in	ADP
ijassa-1381	90	15	russia	russia	PROPN
ijassa-1381	90	16	.	.	PUNCT
ijassa-1381	91	1	the	the	DET
ijassa-1381	91	2	vaccine	vaccine	NOUN
ijassa-1381	91	3	will	will	AUX
ijassa-1381	91	4	be	be	AUX
ijassa-1381	91	5	offered	offer	VERB
ijassa-1381	91	6	first	first	ADV
ijassa-1381	91	7	to	to	ADP
ijassa-1381	91	8	doctors	doctor	NOUN
ijassa-1381	91	9	and	and	CCONJ
ijassa-1381	91	10	pensioners	pensioner	NOUN
ijassa-1381	91	11	,	,	PUNCT
ijassa-1381	91	12	and	and	CCONJ
ijassa-1381	91	13	then	then	ADV
ijassa-1381	91	14	to	to	ADP
ijassa-1381	91	15	everyone	everyone	PRON
ijassa-1381	91	16	else	else	ADV
ijassa-1381	91	17	.	.	PUNCT
ijassa-1381	92	1	3	3	X
ijassa-1381	92	2	.	.	PUNCT
ijassa-1381	92	3	the	the	DET
ijassa-1381	92	4	authorities	authority	NOUN
ijassa-1381	92	5	plan	plan	VERB
ijassa-1381	92	6	to	to	PART
ijassa-1381	92	7	issue	issue	VERB
ijassa-1381	92	8	vaccination	vaccination	NOUN
ijassa-1381	92	9	passports	passport	NOUN
ijassa-1381	92	10	through	through	ADP
ijassa-1381	92	11	the	the	DET
ijassa-1381	92	12	government	government	NOUN
ijassa-1381	92	13	services	service	NOUN
ijassa-1381	92	14	website	website	NOUN
ijassa-1381	92	15	.	.	PUNCT
ijassa-1381	93	1	4	4	X
ijassa-1381	93	2	.	.	X
ijassa-1381	93	3	”	"	PUNCT
ijassa-1381	93	4	tsargrad	tsargrad	NOUN
ijassa-1381	93	5	”	"	PUNCT
ijassa-1381	93	6	was	be	AUX
ijassa-1381	93	7	the	the	DET
ijassa-1381	93	8	first	first	ADJ
ijassa-1381	93	9	media	medium	NOUN
ijassa-1381	93	10	outlet	outlet	NOUN
ijassa-1381	93	11	to	to	PART
ijassa-1381	93	12	report	report	VERB
ijassa-1381	93	13	that	that	DET
ijassa-1381	93	14	sberbank	sberbank	NOUN
ijassa-1381	93	15	’s	’s	PART
ijassa-1381	93	16	subsidiary	subsidiary	NOUN
ijassa-1381	93	17	company	company	NOUN
ijassa-1381	93	18	,	,	PUNCT
ijassa-1381	93	19	”	"	PUNCT
ijassa-1381	93	20	immunotechnology	immunotechnology	NOUN
ijassa-1381	93	21	”	"	PUNCT
ijassa-1381	93	22	,	,	PUNCT
ijassa-1381	93	23	which	which	PRON
ijassa-1381	93	24	was	be	AUX
ijassa-1381	93	25	created	create	VERB
ijassa-1381	93	26	only	only	ADV
ijassa-1381	93	27	in	in	ADP
ijassa-1381	93	28	may	may	PROPN
ijassa-1381	93	29	of	of	ADP
ijassa-1381	93	30	this	this	DET
ijassa-1381	93	31	year	year	NOUN
ijassa-1381	93	32	(	(	PUNCT
ijassa-1381	93	33	it	it	PRON
ijassa-1381	93	34	has	have	AUX
ijassa-1381	93	35	no	no	DET
ijassa-1381	93	36	production	production	NOUN
ijassa-1381	93	37	or	or	CCONJ
ijassa-1381	93	38	logistics	logistic	NOUN
ijassa-1381	93	39	facilities	facility	NOUN
ijassa-1381	93	40	of	of	ADP
ijassa-1381	93	41	its	its	PRON
ijassa-1381	93	42	own	own	ADJ
ijassa-1381	93	43	)	)	PUNCT
ijassa-1381	93	44	,	,	PUNCT
ijassa-1381	93	45	could	could	AUX
ijassa-1381	93	46	become	become	VERB
ijassa-1381	93	47	the	the	DET
ijassa-1381	93	48	sole	sole	ADJ
ijassa-1381	93	49	supplier	supplier	NOUN
ijassa-1381	93	50	of	of	ADP
ijassa-1381	93	51	vaccines	vaccine	NOUN
ijassa-1381	93	52	to	to	PART
ijassa-1381	93	53	prevent	prevent	VERB
ijassa-1381	93	54	covid-19	covid-19	PROPN
ijassa-1381	93	55	.	.	PUNCT
ijassa-1381	94	1	examples	example	NOUN
ijassa-1381	94	2	of	of	ADP
ijassa-1381	94	3	descriptions	description	NOUN
ijassa-1381	94	4	of	of	ADP
ijassa-1381	94	5	posts	post	NOUN
ijassa-1381	94	6	with	with	ADP
ijassa-1381	94	7	positive	positive	ADJ
ijassa-1381	94	8	user	user	NOUN
ijassa-1381	94	9	ratings	rating	NOUN
ijassa-1381	94	10	:	:	PUNCT
ijassa-1381	94	11	1	1	X
ijassa-1381	94	12	.	.	X
ijassa-1381	94	13	mishustin	mishustin	PROPN
ijassa-1381	94	14	contracted	contract	VERB
ijassa-1381	94	15	covid-19	covid-19	PROPN
ijassa-1381	94	16	.	.	PROPN
ijassa-1381	95	1	2	2	NUM
ijassa-1381	95	2	.	.	PUNCT
ijassa-1381	95	3	according	accord	VERB
ijassa-1381	95	4	to	to	ADP
ijassa-1381	95	5	most	most	ADJ
ijassa-1381	95	6	doctors	doctor	NOUN
ijassa-1381	95	7	,	,	PUNCT
ijassa-1381	95	8	covid-19	covid-19	PROPN
ijassa-1381	95	9	spreads	spread	VERB
ijassa-1381	95	10	fairly	fairly	ADV
ijassa-1381	95	11	quickly	quickly	ADV
ijassa-1381	95	12	but	but	CCONJ
ijassa-1381	95	13	is	be	AUX
ijassa-1381	95	14	not	not	PART
ijassa-1381	95	15	one	one	NUM
ijassa-1381	95	16	of	of	ADP
ijassa-1381	95	17	the	the	DET
ijassa-1381	95	18	most	most	ADV
ijassa-1381	95	19	dangerous	dangerous	ADJ
ijassa-1381	95	20	diseases	disease	NOUN
ijassa-1381	95	21	the	the	DET
ijassa-1381	95	22	fatality	fatality	NOUN
ijassa-1381	95	23	rate	rate	NOUN
ijassa-1381	95	24	is	be	AUX
ijassa-1381	95	25	3.6	3.6	NUM
ijassa-1381	95	26	%	%	NOUN
ijassa-1381	95	27	.	.	PUNCT
ijassa-1381	96	1	3	3	X
ijassa-1381	96	2	.	.	X
ijassa-1381	96	3	the	the	DET
ijassa-1381	96	4	number	number	NOUN
ijassa-1381	96	5	of	of	ADP
ijassa-1381	96	6	covid-19	covid-19	PROPN
ijassa-1381	96	7	deaths	death	NOUN
ijassa-1381	96	8	in	in	ADP
ijassa-1381	96	9	italy	italy	PROPN
ijassa-1381	96	10	has	have	AUX
ijassa-1381	96	11	set	set	VERB
ijassa-1381	96	12	a	a	DET
ijassa-1381	96	13	daily	daily	ADJ
ijassa-1381	96	14	record	record	NOUN
ijassa-1381	96	15	.	.	PUNCT
ijassa-1381	97	1	4	4	X
ijassa-1381	97	2	.	.	X
ijassa-1381	97	3	the	the	DET
ijassa-1381	97	4	ministry	ministry	PROPN
ijassa-1381	97	5	of	of	ADP
ijassa-1381	97	6	internal	internal	PROPN
ijassa-1381	97	7	affairs	affair	NOUN
ijassa-1381	97	8	named	name	VERB
ijassa-1381	97	9	the	the	DET
ijassa-1381	97	10	regions	region	NOUN
ijassa-1381	97	11	with	with	ADP
ijassa-1381	97	12	the	the	DET
ijassa-1381	97	13	highest	high	ADJ
ijassa-1381	97	14	number	number	NOUN
ijassa-1381	97	15	of	of	ADP
ijassa-1381	97	16	violations	violation	NOUN
ijassa-1381	97	17	of	of	ADP
ijassa-1381	97	18	the	the	DET
ijassa-1381	97	19	isolation	isolation	NOUN
ijassa-1381	97	20	regime	regime	NOUN
ijassa-1381	97	21	.	.	PUNCT
ijassa-1381	98	1	copyright	copyright	NOUN
ijassa-1381	98	2	©	©	PROPN
ijassa-1381	98	3	2023	2023	NUM
ijassa-1381	98	4	assa	assa	NOUN
ijassa-1381	98	5	.	.	PUNCT
ijassa-1381	99	1	adv	adv	PROPN
ijassa-1381	99	2	syst	syst	PROPN
ijassa-1381	99	3	sci	sci	PROPN
ijassa-1381	99	4	appl	appl	PROPN
ijassa-1381	99	5	(	(	PUNCT
ijassa-1381	99	6	2023	2023	NUM
ijassa-1381	99	7	)	)	PUNCT
ijassa-1381	99	8	assa	assa	NOUN
ijassa-1381	99	9	latex	latex	NOUN
ijassa-1381	99	10	template	template	NOUN
ijassa-1381	99	11	113	113	NUM
ijassa-1381	99	12	5	5	NUM
ijassa-1381	99	13	.	.	PUNCT
ijassa-1381	100	1	for	for	ADP
ijassa-1381	100	2	the	the	DET
ijassa-1381	100	3	first	first	ADJ
ijassa-1381	100	4	time	time	NOUN
ijassa-1381	100	5	in	in	ADP
ijassa-1381	100	6	russia	russia	PROPN
ijassa-1381	100	7	,	,	PUNCT
ijassa-1381	100	8	over	over	ADP
ijassa-1381	100	9	15	15	NUM
ijassa-1381	100	10	000	000	NUM
ijassa-1381	100	11	new	new	ADJ
ijassa-1381	100	12	cases	case	NOUN
ijassa-1381	100	13	of	of	ADP
ijassa-1381	100	14	covid-19	covid-19	PROPN
ijassa-1381	100	15	were	be	AUX
ijassa-1381	100	16	detected	detect	VERB
ijassa-1381	100	17	in	in	ADP
ijassa-1381	100	18	one	one	NUM
ijassa-1381	100	19	day	day	NOUN
ijassa-1381	100	20	.	.	PUNCT
ijassa-1381	101	1	3	3	X
ijassa-1381	101	2	.	.	X
ijassa-1381	101	3	identifying	identify	VERB
ijassa-1381	101	4	a	a	DET
ijassa-1381	101	5	network	network	NOUN
ijassa-1381	101	6	environment	environment	NOUN
ijassa-1381	101	7	of	of	ADP
ijassa-1381	101	8	users	user	NOUN
ijassa-1381	101	9	we	we	PRON
ijassa-1381	101	10	need	need	VERB
ijassa-1381	101	11	to	to	PART
ijassa-1381	101	12	determine	determine	VERB
ijassa-1381	101	13	the	the	DET
ijassa-1381	101	14	influence	influence	NOUN
ijassa-1381	101	15	/	/	SYM
ijassa-1381	101	16	trust	trust	NOUN
ijassa-1381	101	17	of	of	ADP
ijassa-1381	101	18	users	user	NOUN
ijassa-1381	101	19	(	(	PUNCT
ijassa-1381	101	20	each	each	PRON
ijassa-1381	101	21	to	to	ADP
ijassa-1381	101	22	each	each	PRON
ijassa-1381	101	23	)	)	PUNCT
ijassa-1381	101	24	and	and	CCONJ
ijassa-1381	101	25	predict	predict	VERB
ijassa-1381	101	26	their	their	PRON
ijassa-1381	101	27	last	last	ADJ
ijassa-1381	101	28	opinions	opinion	NOUN
ijassa-1381	101	29	based	base	VERB
ijassa-1381	101	30	on	on	ADP
ijassa-1381	101	31	the	the	DET
ijassa-1381	101	32	cleaned	clean	VERB
ijassa-1381	101	33	data	datum	NOUN
ijassa-1381	101	34	.	.	PUNCT
ijassa-1381	102	1	then	then	ADV
ijassa-1381	102	2	,	,	PUNCT
ijassa-1381	102	3	we	we	PRON
ijassa-1381	102	4	can	can	AUX
ijassa-1381	102	5	compare	compare	VERB
ijassa-1381	102	6	the	the	DET
ijassa-1381	102	7	results	result	NOUN
ijassa-1381	102	8	with	with	ADP
ijassa-1381	102	9	the	the	DET
ijassa-1381	102	10	true	true	ADJ
ijassa-1381	102	11	and	and	CCONJ
ijassa-1381	102	12	random	random	ADJ
ijassa-1381	102	13	outcomes	outcome	NOUN
ijassa-1381	102	14	.	.	PUNCT
ijassa-1381	103	1	figure	figure	VERB
ijassa-1381	103	2	3.6	3.6	NUM
ijassa-1381	103	3	illustrates	illustrate	VERB
ijassa-1381	103	4	the	the	DET
ijassa-1381	103	5	structure	structure	NOUN
ijassa-1381	103	6	of	of	ADP
ijassa-1381	103	7	commentary	commentary	NOUN
ijassa-1381	103	8	threads	thread	NOUN
ijassa-1381	103	9	and	and	CCONJ
ijassa-1381	103	10	how	how	SCONJ
ijassa-1381	103	11	we	we	PRON
ijassa-1381	103	12	record	record	VERB
ijassa-1381	103	13	interactions	interaction	NOUN
ijassa-1381	103	14	in	in	ADP
ijassa-1381	103	15	a	a	DET
ijassa-1381	103	16	table	table	NOUN
ijassa-1381	103	17	.	.	PUNCT
ijassa-1381	104	1	fig	fig	NOUN
ijassa-1381	104	2	.	.	PUNCT
ijassa-1381	105	1	3.6	3.6	NUM
ijassa-1381	105	2	.	.	PUNCT
ijassa-1381	105	3	method	method	NOUN
ijassa-1381	105	4	for	for	ADP
ijassa-1381	105	5	obtaining	obtain	VERB
ijassa-1381	105	6	the	the	DET
ijassa-1381	105	7	influence	influence	NOUN
ijassa-1381	105	8	table	table	NOUN
ijassa-1381	105	9	from	from	ADP
ijassa-1381	105	10	a	a	DET
ijassa-1381	105	11	commentary	commentary	NOUN
ijassa-1381	105	12	thread	thread	NOUN
ijassa-1381	105	13	the	the	DET
ijassa-1381	105	14	influence	influence	NOUN
ijassa-1381	105	15	/	/	SYM
ijassa-1381	105	16	trust	trust	NOUN
ijassa-1381	105	17	table	table	NOUN
ijassa-1381	105	18	is	be	AUX
ijassa-1381	105	19	compiled	compile	VERB
ijassa-1381	105	20	in	in	ADP
ijassa-1381	105	21	several	several	ADJ
ijassa-1381	105	22	stages	stage	NOUN
ijassa-1381	105	23	:	:	PUNCT
ijassa-1381	105	24	counting	count	VERB
ijassa-1381	105	25	comments	comment	NOUN
ijassa-1381	105	26	within	within	ADP
ijassa-1381	105	27	threads	thread	NOUN
ijassa-1381	105	28	using	use	VERB
ijassa-1381	105	29	(	(	PUNCT
ijassa-1381	105	30	example	example	NOUN
ijassa-1381	105	31	:	:	PUNCT
ijassa-1381	105	32	interaction	interaction	NOUN
ijassa-1381	105	33	between	between	ADP
ijassa-1381	105	34	id2	id2	PROPN
ijassa-1381	105	35	and	and	CCONJ
ijassa-1381	105	36	id4	id4	PROPN
ijassa-1381	105	37	)	)	PUNCT
ijassa-1381	105	38	,	,	PUNCT
ijassa-1381	105	39	counting	count	VERB
ijassa-1381	105	40	replies	reply	NOUN
ijassa-1381	105	41	to	to	ADP
ijassa-1381	105	42	a	a	DET
ijassa-1381	105	43	parent	parent	NOUN
ijassa-1381	105	44	commentary	commentary	NOUN
ijassa-1381	105	45	(	(	PUNCT
ijassa-1381	105	46	example	example	NOUN
ijassa-1381	105	47	:	:	PUNCT
ijassa-1381	105	48	id1	id1	PROPN
ijassa-1381	105	49	,	,	PUNCT
ijassa-1381	105	50	id2	id2	PROPN
ijassa-1381	105	51	,	,	PUNCT
ijassa-1381	105	52	id3	id3	PROPN
ijassa-1381	105	53	)	)	PUNCT
ijassa-1381	105	54	,	,	PUNCT
ijassa-1381	105	55	counting	count	VERB
ijassa-1381	105	56	likes	like	VERB
ijassa-1381	105	57	on	on	ADP
ijassa-1381	105	58	comments	comment	NOUN
ijassa-1381	105	59	(	(	PUNCT
ijassa-1381	105	60	example	example	NOUN
ijassa-1381	105	61	:	:	PUNCT
ijassa-1381	105	62	id5	id5	PROPN
ijassa-1381	105	63	,	,	PUNCT
ijassa-1381	105	64	id6	id6	PROPN
ijassa-1381	105	65	,	,	PUNCT
ijassa-1381	105	66	id7	id7	PROPN
ijassa-1381	105	67	)	)	PUNCT
ijassa-1381	105	68	.	.	PUNCT
ijassa-1381	106	1	the	the	DET
ijassa-1381	106	2	trust	trust	NOUN
ijassa-1381	106	3	is	be	AUX
ijassa-1381	106	4	calculated	calculate	VERB
ijassa-1381	106	5	using	use	VERB
ijassa-1381	106	6	the	the	DET
ijassa-1381	106	7	following	follow	VERB
ijassa-1381	106	8	formula	formula	NOUN
ijassa-1381	106	9	[	[	X
ijassa-1381	106	10	16	16	NUM
ijassa-1381	106	11	]	]	X
ijassa-1381	106	12	:	:	PUNCT
ijassa-1381	106	13	trust	trust	NOUN
ijassa-1381	106	14	=	=	PUNCT
ijassa-1381	106	15	w1kcij	w1kcij	PROPN
ijassa-1381	106	16	+	+	CCONJ
ijassa-1381	106	17	w2klij	w2klij	NOUN
ijassa-1381	106	18	(	(	PUNCT
ijassa-1381	106	19	3.1	3.1	NUM
ijassa-1381	106	20	)	)	PUNCT
ijassa-1381	106	21	where	where	SCONJ
ijassa-1381	106	22	w1	w1	NOUN
ijassa-1381	106	23	and	and	CCONJ
ijassa-1381	106	24	w2	w2	NOUN
ijassa-1381	106	25	are	be	AUX
ijassa-1381	106	26	the	the	DET
ijassa-1381	106	27	weights	weight	NOUN
ijassa-1381	106	28	assigned	assign	VERB
ijassa-1381	106	29	to	to	ADP
ijassa-1381	106	30	comments	comment	NOUN
ijassa-1381	106	31	and	and	CCONJ
ijassa-1381	106	32	likes	like	NOUN
ijassa-1381	106	33	,	,	PUNCT
ijassa-1381	106	34	cij	cij	PROPN
ijassa-1381	106	35	and	and	CCONJ
ijassa-1381	106	36	lij	lij	PROPN
ijassa-1381	106	37	denote	denote	VERB
ijassa-1381	106	38	the	the	DET
ijassa-1381	106	39	number	number	NOUN
ijassa-1381	106	40	of	of	ADP
ijassa-1381	106	41	comments	comment	NOUN
ijassa-1381	106	42	and	and	CCONJ
ijassa-1381	106	43	likes	like	NOUN
ijassa-1381	106	44	of	of	ADP
ijassa-1381	106	45	agent	agent	NOUN
ijassa-1381	106	46	i	i	PRON
ijassa-1381	106	47	∈	∈	PROPN
ijassa-1381	106	48	n	n	CCONJ
ijassa-1381	106	49	towards	towards	ADP
ijassa-1381	106	50	agent	agent	NOUN
ijassa-1381	106	51	j	j	PROPN
ijassa-1381	106	52	∈	∈	PROPN
ijassa-1381	106	53	n	n	CCONJ
ijassa-1381	106	54	,	,	PUNCT
ijassa-1381	106	55	respectively	respectively	ADV
ijassa-1381	106	56	.	.	PUNCT
ijassa-1381	107	1	the	the	DET
ijassa-1381	107	2	initial	initial	ADJ
ijassa-1381	107	3	weights	weight	NOUN
ijassa-1381	107	4	are	be	AUX
ijassa-1381	107	5	set	set	VERB
ijassa-1381	107	6	as	as	ADP
ijassa-1381	107	7	w1	w1	NOUN
ijassa-1381	107	8	=	=	NOUN
ijassa-1381	107	9	0.1	0.1	NUM
ijassa-1381	107	10	and	and	CCONJ
ijassa-1381	107	11	w2	w2	NOUN
ijassa-1381	107	12	=	=	NOUN
ijassa-1381	107	13	1	1	NUM
ijassa-1381	107	14	.	.	PUNCT
ijassa-1381	107	15	from	from	ADP
ijassa-1381	107	16	the	the	DET
ijassa-1381	107	17	interaction	interaction	NOUN
ijassa-1381	107	18	table	table	NOUN
ijassa-1381	107	19	,	,	PUNCT
ijassa-1381	107	20	a	a	DET
ijassa-1381	107	21	directed	direct	VERB
ijassa-1381	107	22	graph	graph	NOUN
ijassa-1381	107	23	is	be	AUX
ijassa-1381	107	24	constructed	construct	VERB
ijassa-1381	107	25	and	and	CCONJ
ijassa-1381	107	26	the	the	DET
ijassa-1381	107	27	adjacency	adjacency	NOUN
ijassa-1381	107	28	matrix	matrix	NOUN
ijassa-1381	107	29	is	be	AUX
ijassa-1381	107	30	calculated	calculate	VERB
ijassa-1381	107	31	using	use	VERB
ijassa-1381	107	32	the	the	DET
ijassa-1381	107	33	networkx	networkx	NOUN
ijassa-1381	107	34	library	library	NOUN
ijassa-1381	107	35	.	.	PUNCT
ijassa-1381	108	1	let	let	VERB
ijassa-1381	108	2	’s	’s	PRON
ijassa-1381	108	3	inspect	inspect	VERB
ijassa-1381	108	4	the	the	DET
ijassa-1381	108	5	interaction	interaction	NOUN
ijassa-1381	108	6	graph	graph	NOUN
ijassa-1381	108	7	.	.	PUNCT
ijassa-1381	109	1	3.1	3.1	NUM
ijassa-1381	109	2	.	.	PUNCT
ijassa-1381	109	3	visualization	visualization	NOUN
ijassa-1381	109	4	and	and	CCONJ
ijassa-1381	109	5	characterization	characterization	NOUN
ijassa-1381	109	6	of	of	ADP
ijassa-1381	109	7	the	the	DET
ijassa-1381	109	8	interaction	interaction	NOUN
ijassa-1381	109	9	graph	graph	NOUN
ijassa-1381	109	10	the	the	DET
ijassa-1381	109	11	visualization	visualization	NOUN
ijassa-1381	109	12	is	be	AUX
ijassa-1381	109	13	created	create	VERB
ijassa-1381	109	14	using	use	VERB
ijassa-1381	109	15	the	the	DET
ijassa-1381	109	16	gephi	gephi	ADJ
ijassa-1381	109	17	program	program	NOUN
ijassa-1381	109	18	with	with	ADP
ijassa-1381	109	19	the	the	DET
ijassa-1381	109	20	forceatlas2	forceatlas2	NOUN
ijassa-1381	109	21	layout	layout	NOUN
ijassa-1381	109	22	.	.	PUNCT
ijassa-1381	110	1	the	the	DET
ijassa-1381	110	2	colors	color	NOUN
ijassa-1381	110	3	in	in	ADP
ijassa-1381	110	4	figure	figure	NOUN
ijassa-1381	110	5	3.7	3.7	NUM
ijassa-1381	110	6	are	be	AUX
ijassa-1381	110	7	determined	determine	VERB
ijassa-1381	110	8	by	by	ADP
ijassa-1381	110	9	the	the	DET
ijassa-1381	110	10	modularity	modularity	NOUN
ijassa-1381	110	11	parameter	parameter	NOUN
ijassa-1381	110	12	,	,	PUNCT
ijassa-1381	110	13	which	which	PRON
ijassa-1381	110	14	measures	measure	VERB
ijassa-1381	110	15	the	the	DET
ijassa-1381	110	16	structure	structure	NOUN
ijassa-1381	110	17	of	of	ADP
ijassa-1381	110	18	the	the	DET
ijassa-1381	110	19	graph	graph	NOUN
ijassa-1381	110	20	and	and	CCONJ
ijassa-1381	110	21	indicates	indicate	VERB
ijassa-1381	110	22	how	how	SCONJ
ijassa-1381	110	23	well	well	ADV
ijassa-1381	110	24	it	it	PRON
ijassa-1381	110	25	is	be	AUX
ijassa-1381	110	26	divided	divide	VERB
ijassa-1381	110	27	into	into	ADP
ijassa-1381	110	28	dense	dense	ADJ
ijassa-1381	110	29	communities	community	NOUN
ijassa-1381	110	30	.	.	PUNCT
ijassa-1381	111	1	the	the	DET
ijassa-1381	111	2	modularity	modularity	NOUN
ijassa-1381	111	3	score	score	NOUN
ijassa-1381	111	4	ranges	range	VERB
ijassa-1381	111	5	from	from	ADP
ijassa-1381	111	6	–	–	PUNCT
ijassa-1381	111	7	1	1	NUM
ijassa-1381	111	8	to	to	ADP
ijassa-1381	111	9	1	1	NUM
ijassa-1381	111	10	,	,	PUNCT
ijassa-1381	111	11	and	and	CCONJ
ijassa-1381	111	12	in	in	ADP
ijassa-1381	111	13	our	our	PRON
ijassa-1381	111	14	case	case	NOUN
ijassa-1381	111	15	,	,	PUNCT
ijassa-1381	111	16	the	the	DET
ijassa-1381	111	17	results	result	NOUN
ijassa-1381	111	18	for	for	ADP
ijassa-1381	111	19	each	each	DET
ijassa-1381	111	20	time	time	NOUN
ijassa-1381	111	21	interval	interval	NOUN
ijassa-1381	111	22	are	be	AUX
ijassa-1381	111	23	around	around	ADV
ijassa-1381	111	24	0.7	0.7	NUM
ijassa-1381	111	25	,	,	PUNCT
ijassa-1381	111	26	indicating	indicate	VERB
ijassa-1381	111	27	a	a	DET
ijassa-1381	111	28	clear	clear	ADJ
ijassa-1381	111	29	division	division	NOUN
ijassa-1381	111	30	into	into	ADP
ijassa-1381	111	31	communities	community	NOUN
ijassa-1381	111	32	.	.	PUNCT
ijassa-1381	112	1	when	when	SCONJ
ijassa-1381	112	2	calculating	calculate	VERB
ijassa-1381	112	3	modularity	modularity	NOUN
ijassa-1381	112	4	in	in	ADP
ijassa-1381	112	5	gephy	gephy	NOUN
ijassa-1381	112	6	,	,	PUNCT
ijassa-1381	112	7	the	the	DET
ijassa-1381	112	8	algorithm	algorithm	NOUN
ijassa-1381	112	9	groups	group	NOUN
ijassa-1381	112	10	nodes	nod	VERB
ijassa-1381	112	11	that	that	PRON
ijassa-1381	112	12	are	be	AUX
ijassa-1381	112	13	more	more	ADV
ijassa-1381	112	14	densely	densely	ADV
ijassa-1381	112	15	connected	connected	ADJ
ijassa-1381	112	16	to	to	ADP
ijassa-1381	112	17	each	each	DET
ijassa-1381	112	18	other	other	ADJ
ijassa-1381	112	19	than	than	ADP
ijassa-1381	112	20	to	to	ADP
ijassa-1381	112	21	other	other	ADJ
ijassa-1381	112	22	nodes	node	NOUN
ijassa-1381	112	23	in	in	ADP
ijassa-1381	112	24	the	the	DET
ijassa-1381	112	25	graph	graph	NOUN
ijassa-1381	112	26	into	into	ADP
ijassa-1381	112	27	the	the	DET
ijassa-1381	112	28	same	same	ADJ
ijassa-1381	112	29	community	community	NOUN
ijassa-1381	112	30	or	or	CCONJ
ijassa-1381	112	31	cluster	cluster	NOUN
ijassa-1381	112	32	.	.	PUNCT
ijassa-1381	113	1	this	this	DET
ijassa-1381	113	2	grouping	grouping	NOUN
ijassa-1381	113	3	leads	lead	VERB
ijassa-1381	113	4	to	to	ADP
ijassa-1381	113	5	the	the	DET
ijassa-1381	113	6	division	division	NOUN
ijassa-1381	113	7	of	of	ADP
ijassa-1381	113	8	the	the	DET
ijassa-1381	113	9	graph	graph	NOUN
ijassa-1381	113	10	into	into	ADP
ijassa-1381	113	11	subgraphs	subgraph	NOUN
ijassa-1381	113	12	or	or	CCONJ
ijassa-1381	113	13	clusters	cluster	NOUN
ijassa-1381	113	14	,	,	PUNCT
ijassa-1381	113	15	each	each	PRON
ijassa-1381	113	16	of	of	ADP
ijassa-1381	113	17	which	which	PRON
ijassa-1381	113	18	has	have	VERB
ijassa-1381	113	19	numerous	numerous	ADJ
ijassa-1381	113	20	internal	internal	ADJ
ijassa-1381	113	21	connections	connection	NOUN
ijassa-1381	113	22	and	and	CCONJ
ijassa-1381	113	23	relatively	relatively	ADV
ijassa-1381	113	24	few	few	ADJ
ijassa-1381	113	25	external	external	ADJ
ijassa-1381	113	26	connections	connection	NOUN
ijassa-1381	113	27	to	to	ADP
ijassa-1381	113	28	other	other	ADJ
ijassa-1381	113	29	clusters	cluster	NOUN
ijassa-1381	113	30	.	.	PUNCT
ijassa-1381	114	1	copyright	copyright	NOUN
ijassa-1381	114	2	©	©	PROPN
ijassa-1381	114	3	2023	2023	NUM
ijassa-1381	114	4	assa	assa	NOUN
ijassa-1381	114	5	.	.	PUNCT
ijassa-1381	115	1	adv	adv	PROPN
ijassa-1381	115	2	syst	syst	PROPN
ijassa-1381	115	3	sci	sci	PROPN
ijassa-1381	115	4	appl	appl	PROPN
ijassa-1381	115	5	(	(	PUNCT
ijassa-1381	115	6	2023	2023	NUM
ijassa-1381	115	7	)	)	PUNCT
ijassa-1381	115	8	114	114	NUM
ijassa-1381	115	9	d.	d.	PROPN
ijassa-1381	115	10	gubanov	gubanov	PROPN
ijassa-1381	115	11	,	,	PUNCT
ijassa-1381	115	12	a.	a.	NOUN
ijassa-1381	115	13	chkhartishvili	chkhartishvili	NOUN
ijassa-1381	115	14	,	,	PUNCT
ijassa-1381	115	15	v.	v.	CCONJ
ijassa-1381	115	16	melnichuk	melnichuk	PROPN
ijassa-1381	115	17	,	,	PUNCT
ijassa-1381	115	18	v.	v.	ADP
ijassa-1381	115	19	sych	sych	PROPN
ijassa-1381	115	20	in	in	ADP
ijassa-1381	115	21	the	the	DET
ijassa-1381	115	22	graph	graph	NOUN
ijassa-1381	115	23	,	,	PUNCT
ijassa-1381	115	24	10	10	NUM
ijassa-1381	115	25	clusters	cluster	NOUN
ijassa-1381	115	26	are	be	AUX
ijassa-1381	115	27	clearly	clearly	ADV
ijassa-1381	115	28	distinguished	distinguish	VERB
ijassa-1381	115	29	,	,	PUNCT
ijassa-1381	115	30	which	which	PRON
ijassa-1381	115	31	have	have	AUX
ijassa-1381	115	32	been	be	AUX
ijassa-1381	115	33	identified	identify	VERB
ijassa-1381	115	34	as	as	ADP
ijassa-1381	115	35	subscribers	subscriber	NOUN
ijassa-1381	115	36	to	to	ADP
ijassa-1381	115	37	different	different	ADJ
ijassa-1381	115	38	vk	vk	NOUN
ijassa-1381	115	39	communities	community	NOUN
ijassa-1381	115	40	.	.	PUNCT
ijassa-1381	116	1	some	some	DET
ijassa-1381	116	2	users	user	NOUN
ijassa-1381	116	3	are	be	AUX
ijassa-1381	116	4	subscribed	subscribe	VERB
ijassa-1381	116	5	to	to	ADP
ijassa-1381	116	6	several	several	ADJ
ijassa-1381	116	7	similar	similar	ADJ
ijassa-1381	116	8	communities	community	NOUN
ijassa-1381	116	9	,	,	PUNCT
ijassa-1381	116	10	while	while	SCONJ
ijassa-1381	116	11	others	other	NOUN
ijassa-1381	116	12	may	may	AUX
ijassa-1381	116	13	have	have	VERB
ijassa-1381	116	14	a	a	DET
ijassa-1381	116	15	different	different	ADJ
ijassa-1381	116	16	position	position	NOUN
ijassa-1381	116	17	and	and	CCONJ
ijassa-1381	116	18	gather	gather	VERB
ijassa-1381	116	19	in	in	ADP
ijassa-1381	116	20	smaller	small	ADJ
ijassa-1381	116	21	isolated	isolated	ADJ
ijassa-1381	116	22	groups	group	NOUN
ijassa-1381	116	23	.	.	PUNCT
ijassa-1381	117	1	the	the	DET
ijassa-1381	117	2	”	"	PUNCT
ijassa-1381	117	3	asteroid	asteroid	NOUN
ijassa-1381	117	4	belt	belt	NOUN
ijassa-1381	117	5	”	"	PUNCT
ijassa-1381	117	6	around	around	ADP
ijassa-1381	117	7	the	the	DET
ijassa-1381	117	8	clusters	cluster	NOUN
ijassa-1381	117	9	represents	represent	VERB
ijassa-1381	117	10	non	non	ADJ
ijassa-1381	117	11	-	-	ADJ
ijassa-1381	117	12	communicative	communicative	ADJ
ijassa-1381	117	13	users	user	NOUN
ijassa-1381	117	14	with	with	ADP
ijassa-1381	117	15	at	at	ADV
ijassa-1381	117	16	least	least	ADV
ijassa-1381	117	17	one	one	NUM
ijassa-1381	117	18	interaction	interaction	NOUN
ijassa-1381	117	19	.	.	PUNCT
ijassa-1381	118	1	fig	fig	NOUN
ijassa-1381	118	2	.	.	PUNCT
ijassa-1381	119	1	3.7	3.7	NUM
ijassa-1381	119	2	.	.	PUNCT
ijassa-1381	120	1	the	the	DET
ijassa-1381	120	2	graph	graph	NOUN
ijassa-1381	120	3	represents	represent	VERB
ijassa-1381	120	4	the	the	DET
ijassa-1381	120	5	interactions	interaction	NOUN
ijassa-1381	120	6	during	during	ADP
ijassa-1381	120	7	the	the	DET
ijassa-1381	120	8	first	first	ADJ
ijassa-1381	120	9	week	week	NOUN
ijassa-1381	120	10	the	the	DET
ijassa-1381	120	11	large	large	ADJ
ijassa-1381	120	12	nodes	node	NOUN
ijassa-1381	120	13	represent	represent	VERB
ijassa-1381	120	14	opinion	opinion	NOUN
ijassa-1381	120	15	leaders	leader	NOUN
ijassa-1381	120	16	whose	whose	DET
ijassa-1381	120	17	statements	statement	NOUN
ijassa-1381	120	18	are	be	AUX
ijassa-1381	120	19	actively	actively	ADV
ijassa-1381	120	20	discussed	discuss	VERB
ijassa-1381	120	21	or	or	CCONJ
ijassa-1381	120	22	liked	like	VERB
ijassa-1381	120	23	,	,	PUNCT
ijassa-1381	120	24	while	while	SCONJ
ijassa-1381	120	25	the	the	DET
ijassa-1381	120	26	size	size	NOUN
ijassa-1381	120	27	of	of	ADP
ijassa-1381	120	28	the	the	DET
ijassa-1381	120	29	nodes	node	NOUN
ijassa-1381	120	30	is	be	AUX
ijassa-1381	120	31	proportional	proportional	ADJ
ijassa-1381	120	32	to	to	ADP
ijassa-1381	120	33	their	their	PRON
ijassa-1381	120	34	degree	degree	NOUN
ijassa-1381	120	35	,	,	PUNCT
ijassa-1381	120	36	i.e.	i.e.	X
ijassa-1381	120	37	,	,	PUNCT
ijassa-1381	120	38	the	the	DET
ijassa-1381	120	39	number	number	NOUN
ijassa-1381	120	40	of	of	ADP
ijassa-1381	120	41	connections	connection	NOUN
ijassa-1381	120	42	.	.	PUNCT
ijassa-1381	121	1	the	the	DET
ijassa-1381	121	2	small	small	ADJ
ijassa-1381	121	3	branches	branch	NOUN
ijassa-1381	121	4	of	of	ADP
ijassa-1381	121	5	isolated	isolated	ADJ
ijassa-1381	121	6	user	user	NOUN
ijassa-1381	121	7	islands	island	NOUN
ijassa-1381	121	8	from	from	ADP
ijassa-1381	121	9	opinion	opinion	NOUN
ijassa-1381	121	10	leaders	leader	NOUN
ijassa-1381	121	11	represent	represent	VERB
ijassa-1381	121	12	likers	liker	NOUN
ijassa-1381	121	13	.	.	PUNCT
ijassa-1381	122	1	it	it	PRON
ijassa-1381	122	2	is	be	AUX
ijassa-1381	122	3	possible	possible	ADJ
ijassa-1381	122	4	that	that	SCONJ
ijassa-1381	122	5	these	these	DET
ijassa-1381	122	6	likes	like	NOUN
ijassa-1381	122	7	were	be	AUX
ijassa-1381	122	8	artificially	artificially	ADV
ijassa-1381	122	9	inflated	inflate	VERB
ijassa-1381	122	10	to	to	PART
ijassa-1381	122	11	promote	promote	VERB
ijassa-1381	122	12	a	a	DET
ijassa-1381	122	13	particular	particular	ADJ
ijassa-1381	122	14	opinion	opinion	NOUN
ijassa-1381	122	15	,	,	PUNCT
ijassa-1381	122	16	but	but	CCONJ
ijassa-1381	122	17	more	more	ADV
ijassa-1381	122	18	likely	likely	ADJ
ijassa-1381	122	19	,	,	PUNCT
ijassa-1381	122	20	these	these	PRON
ijassa-1381	122	21	are	be	AUX
ijassa-1381	122	22	users	user	NOUN
ijassa-1381	122	23	who	who	PRON
ijassa-1381	122	24	do	do	AUX
ijassa-1381	122	25	not	not	PART
ijassa-1381	122	26	express	express	VERB
ijassa-1381	122	27	their	their	PRON
ijassa-1381	122	28	own	own	ADJ
ijassa-1381	122	29	opinions	opinion	NOUN
ijassa-1381	122	30	but	but	CCONJ
ijassa-1381	122	31	only	only	ADV
ijassa-1381	122	32	agree	agree	VERB
ijassa-1381	122	33	with	with	ADP
ijassa-1381	122	34	others	other	NOUN
ijassa-1381	122	35	.	.	PUNCT
ijassa-1381	123	1	another	another	DET
ijassa-1381	123	2	informative	informative	ADJ
ijassa-1381	123	3	parameter	parameter	NOUN
ijassa-1381	123	4	is	be	AUX
ijassa-1381	123	5	the	the	DET
ijassa-1381	123	6	degree	degree	NOUN
ijassa-1381	123	7	of	of	ADP
ijassa-1381	123	8	assortativity	assortativity	NOUN
ijassa-1381	123	9	in	in	ADP
ijassa-1381	123	10	the	the	DET
ijassa-1381	123	11	graph	graph	NOUN
ijassa-1381	123	12	,	,	PUNCT
ijassa-1381	123	13	which	which	PRON
ijassa-1381	123	14	represents	represent	VERB
ijassa-1381	123	15	the	the	DET
ijassa-1381	123	16	preference	preference	NOUN
ijassa-1381	123	17	of	of	ADP
ijassa-1381	123	18	network	network	NOUN
ijassa-1381	123	19	nodes	node	NOUN
ijassa-1381	123	20	to	to	PART
ijassa-1381	123	21	connect	connect	VERB
ijassa-1381	123	22	to	to	ADP
ijassa-1381	123	23	other	other	ADJ
ijassa-1381	123	24	nodes	node	NOUN
ijassa-1381	123	25	that	that	PRON
ijassa-1381	123	26	are	be	AUX
ijassa-1381	123	27	in	in	ADP
ijassa-1381	123	28	some	some	DET
ijassa-1381	123	29	way	way	NOUN
ijassa-1381	123	30	similar	similar	ADJ
ijassa-1381	123	31	to	to	ADP
ijassa-1381	123	32	them	they	PRON
ijassa-1381	123	33	.	.	PUNCT
ijassa-1381	124	1	in	in	ADP
ijassa-1381	124	2	our	our	PRON
ijassa-1381	124	3	case	case	NOUN
ijassa-1381	124	4	,	,	PUNCT
ijassa-1381	124	5	the	the	DET
ijassa-1381	124	6	assortativity	assortativity	NOUN
ijassa-1381	124	7	parameter	parameter	NOUN
ijassa-1381	124	8	for	for	ADP
ijassa-1381	124	9	each	each	DET
ijassa-1381	124	10	week	week	NOUN
ijassa-1381	124	11	was	be	AUX
ijassa-1381	124	12	–	–	PUNCT
ijassa-1381	124	13	0.1	0.1	NUM
ijassa-1381	124	14	,	,	PUNCT
ijassa-1381	124	15	indicating	indicate	VERB
ijassa-1381	124	16	a	a	DET
ijassa-1381	124	17	negative	negative	ADJ
ijassa-1381	124	18	correlation	correlation	NOUN
ijassa-1381	124	19	between	between	ADP
ijassa-1381	124	20	nodes	node	NOUN
ijassa-1381	124	21	of	of	ADP
ijassa-1381	124	22	different	different	ADJ
ijassa-1381	124	23	degrees	degree	NOUN
ijassa-1381	124	24	.	.	PUNCT
ijassa-1381	125	1	positive	positive	ADJ
ijassa-1381	125	2	assortativity	assortativity	NOUN
ijassa-1381	125	3	values	value	NOUN
ijassa-1381	125	4	indicate	indicate	VERB
ijassa-1381	125	5	a	a	DET
ijassa-1381	125	6	correlation	correlation	NOUN
ijassa-1381	125	7	between	between	ADP
ijassa-1381	125	8	nodes	node	NOUN
ijassa-1381	125	9	of	of	ADP
ijassa-1381	125	10	similar	similar	ADJ
ijassa-1381	125	11	degrees	degree	NOUN
ijassa-1381	125	12	,	,	PUNCT
ijassa-1381	125	13	while	while	SCONJ
ijassa-1381	125	14	negative	negative	ADJ
ijassa-1381	125	15	values	value	NOUN
ijassa-1381	125	16	indicate	indicate	VERB
ijassa-1381	125	17	relationships	relationship	NOUN
ijassa-1381	125	18	between	between	ADP
ijassa-1381	125	19	nodes	node	NOUN
ijassa-1381	125	20	of	of	ADP
ijassa-1381	125	21	different	different	ADJ
ijassa-1381	125	22	degrees	degree	NOUN
ijassa-1381	125	23	.	.	PUNCT
ijassa-1381	126	1	when	when	SCONJ
ijassa-1381	126	2	examining	examine	VERB
ijassa-1381	126	3	graphs	graph	NOUN
ijassa-1381	126	4	over	over	ADP
ijassa-1381	126	5	larger	large	ADJ
ijassa-1381	126	6	time	time	NOUN
ijassa-1381	126	7	intervals	interval	NOUN
ijassa-1381	126	8	than	than	ADP
ijassa-1381	126	9	current	current	ADJ
ijassa-1381	126	10	ones	one	NOUN
ijassa-1381	126	11	,	,	PUNCT
ijassa-1381	126	12	the	the	DET
ijassa-1381	126	13	grouping	grouping	NOUN
ijassa-1381	126	14	in	in	ADP
ijassa-1381	126	15	the	the	DET
ijassa-1381	126	16	center	center	NOUN
ijassa-1381	126	17	of	of	ADP
ijassa-1381	126	18	the	the	DET
ijassa-1381	126	19	graph	graph	NOUN
ijassa-1381	126	20	is	be	AUX
ijassa-1381	126	21	blurred	blur	VERB
ijassa-1381	126	22	due	due	ADJ
ijassa-1381	126	23	to	to	ADP
ijassa-1381	126	24	the	the	DET
ijassa-1381	126	25	fact	fact	NOUN
ijassa-1381	126	26	that	that	SCONJ
ijassa-1381	126	27	many	many	ADJ
ijassa-1381	126	28	users	user	NOUN
ijassa-1381	126	29	show	show	VERB
ijassa-1381	126	30	activity	activity	NOUN
ijassa-1381	126	31	in	in	ADP
ijassa-1381	126	32	the	the	DET
ijassa-1381	126	33	same	same	ADJ
ijassa-1381	126	34	communities	community	NOUN
ijassa-1381	126	35	.	.	PUNCT
ijassa-1381	127	1	4	4	X
ijassa-1381	127	2	.	.	X
ijassa-1381	127	3	the	the	DET
ijassa-1381	127	4	dynamics	dynamic	NOUN
ijassa-1381	127	5	of	of	ADP
ijassa-1381	127	6	opinions	opinion	NOUN
ijassa-1381	127	7	on	on	ADP
ijassa-1381	127	8	covid-19	covid-19	PROPN
ijassa-1381	127	9	task	task	NOUN
ijassa-1381	127	10	in	in	ADP
ijassa-1381	127	11	this	this	DET
ijassa-1381	127	12	part	part	NOUN
ijassa-1381	127	13	of	of	ADP
ijassa-1381	127	14	the	the	DET
ijassa-1381	127	15	work	work	NOUN
ijassa-1381	127	16	describes	describe	VERB
ijassa-1381	127	17	the	the	DET
ijassa-1381	127	18	creation	creation	NOUN
ijassa-1381	127	19	of	of	ADP
ijassa-1381	127	20	a	a	DET
ijassa-1381	127	21	trust	trust	NOUN
ijassa-1381	127	22	matrix	matrix	NOUN
ijassa-1381	127	23	from	from	ADP
ijassa-1381	127	24	an	an	DET
ijassa-1381	127	25	interaction	interaction	NOUN
ijassa-1381	127	26	graph	graph	NOUN
ijassa-1381	127	27	,	,	PUNCT
ijassa-1381	127	28	a	a	DET
ijassa-1381	127	29	model	model	NOUN
ijassa-1381	127	30	,	,	PUNCT
ijassa-1381	127	31	and	and	CCONJ
ijassa-1381	127	32	an	an	DET
ijassa-1381	127	33	initial	initial	ADJ
ijassa-1381	127	34	prediction	prediction	NOUN
ijassa-1381	127	35	.	.	PUNCT
ijassa-1381	128	1	formula	formula	NOUN
ijassa-1381	128	2	(	(	PUNCT
ijassa-1381	128	3	4.2	4.2	NUM
ijassa-1381	128	4	)	)	PUNCT
ijassa-1381	128	5	will	will	AUX
ijassa-1381	128	6	be	be	AUX
ijassa-1381	128	7	used	use	VERB
ijassa-1381	128	8	for	for	ADP
ijassa-1381	128	9	further	further	ADJ
ijassa-1381	128	10	prediction	prediction	NOUN
ijassa-1381	128	11	[	[	X
ijassa-1381	128	12	16	16	NUM
ijassa-1381	128	13	]	]	X
ijassa-1381	128	14	:	:	PUNCT
ijassa-1381	129	1	b	b	X
ijassa-1381	129	2	′	′	NUM
ijassa-1381	129	3	=	=	SYM
ijassa-1381	129	4	b	b	PROPN
ijassa-1381	129	5	∗	∗	NOUN
ijassa-1381	129	6	a	a	PRON
ijassa-1381	129	7	(	(	PUNCT
ijassa-1381	129	8	4.2	4.2	NUM
ijassa-1381	129	9	)	)	PUNCT
ijassa-1381	129	10	where	where	SCONJ
ijassa-1381	129	11	b	b	NOUN
ijassa-1381	129	12	is	be	AUX
ijassa-1381	129	13	a	a	DET
ijassa-1381	129	14	vector	vector	NOUN
ijassa-1381	129	15	of	of	ADP
ijassa-1381	129	16	initial	initial	ADJ
ijassa-1381	129	17	average	average	ADJ
ijassa-1381	129	18	user	user	NOUN
ijassa-1381	129	19	opinions	opinion	NOUN
ijassa-1381	129	20	for	for	ADP
ijassa-1381	129	21	the	the	DET
ijassa-1381	129	22	selected	select	VERB
ijassa-1381	129	23	interval	interval	NOUN
ijassa-1381	129	24	,	,	PUNCT
ijassa-1381	129	25	which	which	PRON
ijassa-1381	129	26	is	be	AUX
ijassa-1381	129	27	multiplied	multiply	VERB
ijassa-1381	129	28	by	by	ADP
ijassa-1381	129	29	the	the	DET
ijassa-1381	129	30	trust	trust	NOUN
ijassa-1381	129	31	matrix	matrix	NOUN
ijassa-1381	129	32	a	a	PRON
ijassa-1381	129	33	to	to	PART
ijassa-1381	129	34	obtain	obtain	VERB
ijassa-1381	129	35	the	the	DET
ijassa-1381	129	36	prediction	prediction	NOUN
ijassa-1381	129	37	b	b	NOUN
ijassa-1381	129	38	′	′	NOUN
ijassa-1381	129	39	.	.	PUNCT
ijassa-1381	130	1	the	the	DET
ijassa-1381	130	2	graph	graph	NOUN
ijassa-1381	130	3	described	describe	VERB
ijassa-1381	130	4	above	above	ADV
ijassa-1381	130	5	is	be	AUX
ijassa-1381	130	6	read	read	VERB
ijassa-1381	130	7	as	as	ADP
ijassa-1381	130	8	an	an	DET
ijassa-1381	130	9	adjacency	adjacency	NOUN
ijassa-1381	130	10	matrix	matrix	NOUN
ijassa-1381	130	11	,	,	PUNCT
ijassa-1381	130	12	which	which	PRON
ijassa-1381	130	13	will	will	AUX
ijassa-1381	130	14	be	be	AUX
ijassa-1381	130	15	referred	refer	VERB
ijassa-1381	130	16	to	to	ADP
ijassa-1381	130	17	as	as	ADP
ijassa-1381	130	18	the	the	DET
ijassa-1381	130	19	trust	trust	NOUN
ijassa-1381	130	20	/	/	SYM
ijassa-1381	130	21	influence	influence	NOUN
ijassa-1381	130	22	matrix	matrix	NOUN
ijassa-1381	130	23	”	"	PUNCT
ijassa-1381	130	24	each	each	PRON
ijassa-1381	130	25	with	with	ADP
ijassa-1381	130	26	each	each	PRON
ijassa-1381	130	27	”	"	PUNCT
ijassa-1381	130	28	.	.	PUNCT
ijassa-1381	131	1	this	this	PRON
ijassa-1381	131	2	is	be	AUX
ijassa-1381	131	3	a	a	DET
ijassa-1381	131	4	sparse	sparse	ADJ
ijassa-1381	131	5	matrix	matrix	NOUN
ijassa-1381	131	6	,	,	PUNCT
ijassa-1381	131	7	whose	whose	DET
ijassa-1381	131	8	elements	element	NOUN
ijassa-1381	131	9	are	be	AUX
ijassa-1381	131	10	taken	take	VERB
ijassa-1381	131	11	as	as	ADP
ijassa-1381	131	12	the	the	DET
ijassa-1381	131	13	trust	trust	NOUN
ijassa-1381	131	14	value	value	NOUN
ijassa-1381	131	15	,	,	PUNCT
ijassa-1381	131	16	considering	consider	VERB
ijassa-1381	131	17	the	the	DET
ijassa-1381	131	18	quantity	quantity	NOUN
ijassa-1381	131	19	and	and	CCONJ
ijassa-1381	131	20	weights	weight	NOUN
ijassa-1381	131	21	of	of	ADP
ijassa-1381	131	22	interactions	interaction	NOUN
ijassa-1381	131	23	from	from	ADP
ijassa-1381	131	24	(	(	PUNCT
ijassa-1381	131	25	3.1	3.1	NUM
ijassa-1381	131	26	)	)	PUNCT
ijassa-1381	131	27	.	.	PUNCT
ijassa-1381	132	1	copyright	copyright	NOUN
ijassa-1381	132	2	©	©	PROPN
ijassa-1381	132	3	2023	2023	NUM
ijassa-1381	132	4	assa	assa	NOUN
ijassa-1381	132	5	.	.	PUNCT
ijassa-1381	133	1	adv	adv	PROPN
ijassa-1381	133	2	syst	syst	PROPN
ijassa-1381	133	3	sci	sci	PROPN
ijassa-1381	133	4	appl	appl	PROPN
ijassa-1381	133	5	(	(	PUNCT
ijassa-1381	133	6	2023	2023	NUM
ijassa-1381	133	7	)	)	PUNCT
ijassa-1381	133	8	assa	assa	NOUN
ijassa-1381	133	9	latex	latex	NOUN
ijassa-1381	133	10	template	template	NOUN
ijassa-1381	133	11	115	115	NUM
ijassa-1381	133	12	the	the	DET
ijassa-1381	133	13	next	next	ADJ
ijassa-1381	133	14	step	step	NOUN
ijassa-1381	133	15	is	be	AUX
ijassa-1381	133	16	to	to	PART
ijassa-1381	133	17	modify	modify	VERB
ijassa-1381	133	18	the	the	DET
ijassa-1381	133	19	matrix	matrix	NOUN
ijassa-1381	133	20	:	:	PUNCT
ijassa-1381	133	21	add	add	VERB
ijassa-1381	133	22	a	a	DET
ijassa-1381	133	23	constant	constant	ADJ
ijassa-1381	133	24	term	term	NOUN
ijassa-1381	133	25	w3	w3	NOUN
ijassa-1381	133	26	to	to	ADP
ijassa-1381	133	27	the	the	DET
ijassa-1381	133	28	formula	formula	NOUN
ijassa-1381	133	29	for	for	ADP
ijassa-1381	133	30	matrix	matrix	NOUN
ijassa-1381	133	31	elements	element	NOUN
ijassa-1381	133	32	(	(	PUNCT
ijassa-1381	133	33	3.1	3.1	NUM
ijassa-1381	133	34	)	)	PUNCT
ijassa-1381	133	35	,	,	PUNCT
ijassa-1381	133	36	add	add	VERB
ijassa-1381	133	37	self	self	NOUN
ijassa-1381	133	38	-	-	PUNCT
ijassa-1381	133	39	trust	trust	NOUN
ijassa-1381	133	40	to	to	ADP
ijassa-1381	133	41	the	the	DET
ijassa-1381	133	42	main	main	ADJ
ijassa-1381	133	43	diagonal	diagonal	NOUN
ijassa-1381	133	44	with	with	ADP
ijassa-1381	133	45	an	an	DET
ijassa-1381	133	46	initial	initial	ADJ
ijassa-1381	133	47	weight	weight	NOUN
ijassa-1381	133	48	of	of	ADP
ijassa-1381	133	49	w4	w4	NOUN
ijassa-1381	133	50	=	=	NOUN
ijassa-1381	133	51	0.5	0.5	NUM
ijassa-1381	133	52	,	,	PUNCT
ijassa-1381	133	53	ensure	ensure	VERB
ijassa-1381	133	54	stochasticity	stochasticity	NOUN
ijassa-1381	133	55	by	by	ADP
ijassa-1381	133	56	making	make	VERB
ijassa-1381	133	57	sure	sure	ADJ
ijassa-1381	133	58	that	that	SCONJ
ijassa-1381	133	59	∑n	∑n	PROPN
ijassa-1381	133	60	j=1	j=1	PROPN
ijassa-1381	133	61	aij	aij	PROPN
ijassa-1381	133	62	=	=	PROPN
ijassa-1381	133	63	1	1	NUM
ijassa-1381	133	64	for	for	ADP
ijassa-1381	133	65	each	each	DET
ijassa-1381	133	66	row	row	NOUN
ijassa-1381	133	67	,	,	PUNCT
ijassa-1381	133	68	where	where	SCONJ
ijassa-1381	133	69	users	user	NOUN
ijassa-1381	133	70	trust	trust	VERB
ijassa-1381	133	71	themselves	themselves	PRON
ijassa-1381	133	72	with	with	ADP
ijassa-1381	133	73	weight	weight	NOUN
ijassa-1381	133	74	w4	w4	NOUN
ijassa-1381	133	75	and	and	CCONJ
ijassa-1381	133	76	everyone	everyone	PRON
ijassa-1381	133	77	else	else	ADV
ijassa-1381	133	78	with	with	ADP
ijassa-1381	133	79	weight	weight	NOUN
ijassa-1381	133	80	1−	1−	NUM
ijassa-1381	133	81	w4	w4	NOUN
ijassa-1381	133	82	.	.	PUNCT
ijassa-1381	134	1	the	the	DET
ijassa-1381	134	2	resulting	result	VERB
ijassa-1381	134	3	dynamics	dynamic	NOUN
ijassa-1381	134	4	of	of	ADP
ijassa-1381	134	5	the	the	DET
ijassa-1381	134	6	opinions	opinion	NOUN
ijassa-1381	134	7	of	of	ADP
ijassa-1381	134	8	agent	agent	NOUN
ijassa-1381	134	9	i	i	PROPN
ijassa-1381	134	10	∈	∈	PROPN
ijassa-1381	134	11	n	n	CCONJ
ijassa-1381	134	12	(	(	PUNCT
ijassa-1381	134	13	n	n	CCONJ
ijassa-1381	134	14	the	the	DET
ijassa-1381	134	15	set	set	NOUN
ijassa-1381	134	16	of	of	ADP
ijassa-1381	134	17	users	user	NOUN
ijassa-1381	134	18	)	)	PUNCT
ijassa-1381	134	19	is	be	AUX
ijassa-1381	134	20	given	give	VERB
ijassa-1381	134	21	by	by	ADP
ijassa-1381	134	22	the	the	DET
ijassa-1381	134	23	equation	equation	NOUN
ijassa-1381	134	24	[	[	X
ijassa-1381	134	25	16	16	NUM
ijassa-1381	134	26	]	]	X
ijassa-1381	134	27	:	:	PUNCT
ijassa-1381	134	28	x	x	X
ijassa-1381	135	1	′	′	NUM
ijassa-1381	135	2	i	i	NOUN
ijassa-1381	135	3	=	=	PUNCT
ijassa-1381	135	4	w4xi	w4xi	NOUN
ijassa-1381	135	5	+	+	CCONJ
ijassa-1381	135	6	(	(	PUNCT
ijassa-1381	135	7	1−	1−	NUM
ijassa-1381	135	8	w4	w4	NOUN
ijassa-1381	135	9	)	)	PUNCT
ijassa-1381	135	10	∑	∑	PUNCT
ijassa-1381	135	11	j∈n\{i	j∈n\{i	PROPN
ijassa-1381	135	12	}	}	PUNCT
ijassa-1381	135	13	aijxj	aijxj	ADJ
ijassa-1381	135	14	(	(	PUNCT
ijassa-1381	135	15	4.3	4.3	NUM
ijassa-1381	135	16	)	)	PUNCT
ijassa-1381	136	1	where	where	SCONJ
ijassa-1381	136	2	aij	aij	PROPN
ijassa-1381	136	3	∈	∈	PROPN
ijassa-1381	136	4	[	[	X
ijassa-1381	136	5	0	0	NUM
ijassa-1381	136	6	;	;	PUNCT
ijassa-1381	136	7	1	1	NUM
ijassa-1381	136	8	]	]	PUNCT
ijassa-1381	136	9	represents	represent	VERB
ijassa-1381	136	10	the	the	DET
ijassa-1381	136	11	degree	degree	NOUN
ijassa-1381	136	12	of	of	ADP
ijassa-1381	136	13	trust	trust	NOUN
ijassa-1381	136	14	that	that	DET
ijassa-1381	136	15	agent	agent	NOUN
ijassa-1381	136	16	i	i	PRON
ijassa-1381	136	17	has	have	VERB
ijassa-1381	136	18	in	in	ADP
ijassa-1381	136	19	agent	agent	PROPN
ijassa-1381	136	20	j	j	PROPN
ijassa-1381	136	21	(	(	PUNCT
ijassa-1381	136	22	i	i	PROPN
ijassa-1381	136	23	,	,	PUNCT
ijassa-1381	136	24	j	j	PROPN
ijassa-1381	136	25	∈	∈	PROPN
ijassa-1381	136	26	n	n	PRON
ijassa-1381	136	27	)	)	PUNCT
ijassa-1381	136	28	.	.	PUNCT
ijassa-1381	137	1	the	the	DET
ijassa-1381	137	2	trust	trust	NOUN
ijassa-1381	137	3	matrix	matrix	NOUN
ijassa-1381	137	4	a	a	PRON
ijassa-1381	137	5	is	be	AUX
ijassa-1381	137	6	constructed	construct	VERB
ijassa-1381	137	7	as	as	SCONJ
ijassa-1381	137	8	follows	follow	VERB
ijassa-1381	137	9	.	.	PUNCT
ijassa-1381	138	1	first	first	ADV
ijassa-1381	138	2	,	,	PUNCT
ijassa-1381	138	3	we	we	PRON
ijassa-1381	138	4	form	form	VERB
ijassa-1381	138	5	a	a	DET
ijassa-1381	138	6	matrix	matrix	NOUN
ijassa-1381	138	7	a′	a′	PROPN
ijassa-1381	138	8	,	,	PUNCT
ijassa-1381	138	9	where	where	SCONJ
ijassa-1381	138	10	the	the	DET
ijassa-1381	138	11	elements	element	NOUN
ijassa-1381	138	12	are	be	AUX
ijassa-1381	138	13	given	give	VERB
ijassa-1381	138	14	by	by	ADP
ijassa-1381	138	15	[	[	X
ijassa-1381	138	16	16	16	NUM
ijassa-1381	138	17	,	,	PUNCT
ijassa-1381	138	18	17	17	NUM
ijassa-1381	138	19	]	]	PUNCT
ijassa-1381	138	20	:	:	PUNCT
ijassa-1381	138	21	a	a	DET
ijassa-1381	138	22	′	′	NUM
ijassa-1381	138	23	ij	ij	NOUN
ijassa-1381	138	24	=	=	SYM
ijassa-1381	138	25	w1cij	w1cij	PROPN
ijassa-1381	138	26	+	+	CCONJ
ijassa-1381	138	27	w2lij	w2lij	X
ijassa-1381	139	1	+	+	CCONJ
ijassa-1381	139	2	w3∑	w3∑	PROPN
ijassa-1381	139	3	j∈n\{i}(w1cij	j∈n\{i}(w1cij	PROPN
ijassa-1381	139	4	+	+	CCONJ
ijassa-1381	139	5	w2lij	w2lij	PROPN
ijassa-1381	139	6	+	+	NUM
ijassa-1381	139	7	w3	w3	PROPN
ijassa-1381	139	8	)	)	PUNCT
ijassa-1381	139	9	(	(	PUNCT
ijassa-1381	139	10	4.4	4.4	NUM
ijassa-1381	139	11	)	)	PUNCT
ijassa-1381	139	12	the	the	DET
ijassa-1381	139	13	denominator	denominator	NOUN
ijassa-1381	139	14	serves	serve	VERB
ijassa-1381	139	15	as	as	ADP
ijassa-1381	139	16	a	a	DET
ijassa-1381	139	17	normalization	normalization	NOUN
ijassa-1381	139	18	factor	factor	NOUN
ijassa-1381	139	19	to	to	PART
ijassa-1381	139	20	ensure	ensure	VERB
ijassa-1381	139	21	stochasticity	stochasticity	NOUN
ijassa-1381	139	22	.	.	PUNCT
ijassa-1381	140	1	we	we	PRON
ijassa-1381	140	2	then	then	ADV
ijassa-1381	140	3	account	account	VERB
ijassa-1381	140	4	for	for	ADP
ijassa-1381	140	5	self	self	NOUN
ijassa-1381	140	6	-	-	PUNCT
ijassa-1381	140	7	trust	trust	NOUN
ijassa-1381	140	8	(	(	PUNCT
ijassa-1381	140	9	w4	w4	NOUN
ijassa-1381	140	10	∈	∈	PROPN
ijassa-1381	141	1	[	[	X
ijassa-1381	141	2	0	0	NUM
ijassa-1381	141	3	;	;	PUNCT
ijassa-1381	141	4	1	1	NUM
ijassa-1381	141	5	]	]	PUNCT
ijassa-1381	141	6	)	)	PUNCT
ijassa-1381	142	1	[	[	X
ijassa-1381	142	2	16	16	NUM
ijassa-1381	142	3	]	]	X
ijassa-1381	142	4	:	:	PUNCT
ijassa-1381	142	5	a	a	DET
ijassa-1381	142	6	=	=	SYM
ijassa-1381	142	7	w4e	w4e	PROPN
ijassa-1381	142	8	+	+	CCONJ
ijassa-1381	142	9	(	(	PUNCT
ijassa-1381	142	10	1−	1−	NUM
ijassa-1381	142	11	w4)a	w4)a	NOUN
ijassa-1381	142	12	′	′	NUM
ijassa-1381	142	13	(	(	PUNCT
ijassa-1381	142	14	4.5	4.5	NUM
ijassa-1381	142	15	)	)	PUNCT
ijassa-1381	142	16	further	further	ADJ
ijassa-1381	142	17	model	model	NOUN
ijassa-1381	142	18	complexity	complexity	NOUN
ijassa-1381	142	19	is	be	AUX
ijassa-1381	142	20	possible	possible	ADJ
ijassa-1381	142	21	but	but	CCONJ
ijassa-1381	142	22	is	be	AUX
ijassa-1381	142	23	not	not	PART
ijassa-1381	142	24	practical	practical	ADJ
ijassa-1381	142	25	due	due	ADJ
ijassa-1381	142	26	to	to	ADP
ijassa-1381	142	27	incomplete	incomplete	ADJ
ijassa-1381	142	28	information	information	NOUN
ijassa-1381	142	29	,	,	PUNCT
ijassa-1381	142	30	as	as	SCONJ
ijassa-1381	142	31	shown	show	VERB
ijassa-1381	142	32	by	by	ADP
ijassa-1381	142	33	optimizing	optimize	VERB
ijassa-1381	142	34	weights	weight	NOUN
ijassa-1381	142	35	using	use	VERB
ijassa-1381	142	36	scipy	scipy	NOUN
ijassa-1381	142	37	’s	’s	PART
ijassa-1381	142	38	powell	powell	PROPN
ijassa-1381	142	39	method	method	NOUN
ijassa-1381	142	40	to	to	PART
ijassa-1381	142	41	minimize	minimize	VERB
ijassa-1381	142	42	the	the	DET
ijassa-1381	142	43	jensen	jensen	PROPN
ijassa-1381	142	44	-	-	PUNCT
ijassa-1381	142	45	shannon	shannon	PROPN
ijassa-1381	142	46	divergence	divergence	NOUN
ijassa-1381	142	47	.	.	PUNCT
ijassa-1381	143	1	starting	start	VERB
ijassa-1381	143	2	from	from	ADP
ijassa-1381	143	3	the	the	DET
ijassa-1381	143	4	initial	initial	ADJ
ijassa-1381	143	5	weights	weight	NOUN
ijassa-1381	143	6	described	describe	VERB
ijassa-1381	143	7	above	above	ADV
ijassa-1381	143	8	,	,	PUNCT
ijassa-1381	143	9	the	the	DET
ijassa-1381	143	10	optimizer	optimizer	NOUN
ijassa-1381	143	11	converged	converge	VERB
ijassa-1381	143	12	to	to	ADP
ijassa-1381	143	13	the	the	DET
ijassa-1381	143	14	following	following	ADJ
ijassa-1381	143	15	weights	weight	NOUN
ijassa-1381	143	16	:	:	PUNCT
ijassa-1381	143	17	w1	w1	NOUN
ijassa-1381	143	18	=	=	SYM
ijassa-1381	143	19	7.88	7.88	NUM
ijassa-1381	143	20	,	,	PUNCT
ijassa-1381	143	21	w2	w2	NOUN
ijassa-1381	143	22	=	=	PROPN
ijassa-1381	143	23	5.48	5.48	NUM
ijassa-1381	143	24	,	,	PUNCT
ijassa-1381	143	25	w3	w3	PROPN
ijassa-1381	143	26	=	=	PROPN
ijassa-1381	143	27	6.25	6.25	NUM
ijassa-1381	143	28	,	,	PUNCT
ijassa-1381	143	29	w4	w4	NOUN
ijassa-1381	143	30	=	=	NOUN
ijassa-1381	143	31	0.99	0.99	NUM
ijassa-1381	143	32	.	.	PUNCT
ijassa-1381	144	1	the	the	DET
ijassa-1381	144	2	most	most	ADV
ijassa-1381	144	3	significant	significant	ADJ
ijassa-1381	144	4	result	result	NOUN
ijassa-1381	144	5	is	be	AUX
ijassa-1381	144	6	the	the	DET
ijassa-1381	144	7	near	near	ADJ
ijassa-1381	144	8	-	-	PUNCT
ijassa-1381	144	9	unity	unity	NOUN
ijassa-1381	144	10	self	self	NOUN
ijassa-1381	144	11	-	-	PUNCT
ijassa-1381	144	12	trust	trust	NOUN
ijassa-1381	144	13	weight	weight	NOUN
ijassa-1381	144	14	,	,	PUNCT
ijassa-1381	144	15	indicating	indicate	VERB
ijassa-1381	144	16	that	that	SCONJ
ijassa-1381	144	17	each	each	DET
ijassa-1381	144	18	user	user	NOUN
ijassa-1381	144	19	’s	’s	PART
ijassa-1381	144	20	opinion	opinion	NOUN
ijassa-1381	144	21	is	be	AUX
ijassa-1381	144	22	influenced	influence	VERB
ijassa-1381	144	23	only	only	ADV
ijassa-1381	144	24	slightly	slightly	ADV
ijassa-1381	144	25	by	by	ADP
ijassa-1381	144	26	others	other	NOUN
ijassa-1381	144	27	.	.	PUNCT
ijassa-1381	145	1	people	people	NOUN
ijassa-1381	145	2	are	be	AUX
ijassa-1381	145	3	more	more	ADV
ijassa-1381	145	4	likely	likely	ADJ
ijassa-1381	145	5	to	to	PART
ijassa-1381	145	6	change	change	VERB
ijassa-1381	145	7	their	their	PRON
ijassa-1381	145	8	opinions	opinion	NOUN
ijassa-1381	145	9	by	by	ADP
ijassa-1381	145	10	exploring	explore	VERB
ijassa-1381	145	11	news	news	NOUN
ijassa-1381	145	12	sources	source	NOUN
ijassa-1381	145	13	and	and	CCONJ
ijassa-1381	145	14	discussing	discuss	VERB
ijassa-1381	145	15	offline	offline	NOUN
ijassa-1381	145	16	rather	rather	ADV
ijassa-1381	145	17	than	than	ADP
ijassa-1381	145	18	engaging	engage	VERB
ijassa-1381	145	19	in	in	ADP
ijassa-1381	145	20	online	online	ADJ
ijassa-1381	145	21	communication	communication	NOUN
ijassa-1381	145	22	.	.	PUNCT
ijassa-1381	146	1	fig	fig	NOUN
ijassa-1381	146	2	.	.	PUNCT
ijassa-1381	147	1	4.8	4.8	NUM
ijassa-1381	147	2	.	.	PUNCT
ijassa-1381	147	3	prediction	prediction	NOUN
ijassa-1381	147	4	of	of	ADP
ijassa-1381	147	5	opinions	opinion	NOUN
ijassa-1381	147	6	on	on	ADP
ijassa-1381	147	7	covid-19	covid-19	PROPN
ijassa-1381	147	8	however	however	ADV
ijassa-1381	147	9	,	,	PUNCT
ijassa-1381	147	10	the	the	DET
ijassa-1381	147	11	optimized	optimize	VERB
ijassa-1381	147	12	weights	weight	NOUN
ijassa-1381	147	13	allow	allow	VERB
ijassa-1381	147	14	us	we	PRON
ijassa-1381	147	15	to	to	PART
ijassa-1381	147	16	predict	predict	VERB
ijassa-1381	147	17	the	the	DET
ijassa-1381	147	18	percentage	percentage	NOUN
ijassa-1381	147	19	of	of	ADP
ijassa-1381	147	20	negative	negative	ADJ
ijassa-1381	147	21	opinions	opinion	NOUN
ijassa-1381	147	22	about	about	ADP
ijassa-1381	147	23	vaccines	vaccine	NOUN
ijassa-1381	147	24	,	,	PUNCT
ijassa-1381	147	25	which	which	PRON
ijassa-1381	147	26	we	we	PRON
ijassa-1381	147	27	present	present	VERB
ijassa-1381	147	28	in	in	ADP
ijassa-1381	147	29	figure	figure	NOUN
ijassa-1381	147	30	4.8	4.8	NUM
ijassa-1381	147	31	.	.	PUNCT
ijassa-1381	148	1	for	for	ADP
ijassa-1381	148	2	the	the	DET
ijassa-1381	148	3	known	know	VERB
ijassa-1381	148	4	period	period	NOUN
ijassa-1381	148	5	,	,	PUNCT
ijassa-1381	148	6	the	the	DET
ijassa-1381	148	7	percentage	percentage	NOUN
ijassa-1381	148	8	is	be	AUX
ijassa-1381	148	9	61.85	61.85	NUM
ijassa-1381	148	10	%	%	NOUN
ijassa-1381	148	11	,	,	PUNCT
ijassa-1381	148	12	and	and	CCONJ
ijassa-1381	148	13	for	for	ADP
ijassa-1381	148	14	the	the	DET
ijassa-1381	148	15	forecast	forecast	NOUN
ijassa-1381	148	16	period	period	NOUN
ijassa-1381	148	17	,	,	PUNCT
ijassa-1381	148	18	it	it	PRON
ijassa-1381	148	19	is	be	AUX
ijassa-1381	148	20	73.72	73.72	NUM
ijassa-1381	148	21	%	%	NOUN
ijassa-1381	148	22	.	.	PUNCT
ijassa-1381	149	1	copyright	copyright	NOUN
ijassa-1381	149	2	©	©	PROPN
ijassa-1381	149	3	2023	2023	NUM
ijassa-1381	149	4	assa	assa	NOUN
ijassa-1381	149	5	.	.	PUNCT
ijassa-1381	150	1	adv	adv	PROPN
ijassa-1381	150	2	syst	syst	PROPN
ijassa-1381	150	3	sci	sci	PROPN
ijassa-1381	150	4	appl	appl	PROPN
ijassa-1381	150	5	(	(	PUNCT
ijassa-1381	150	6	2023	2023	NUM
ijassa-1381	150	7	)	)	PUNCT
ijassa-1381	150	8	116	116	NUM
ijassa-1381	150	9	d.	d.	PROPN
ijassa-1381	150	10	gubanov	gubanov	PROPN
ijassa-1381	150	11	,	,	PUNCT
ijassa-1381	150	12	a.	a.	NOUN
ijassa-1381	150	13	chkhartishvili	chkhartishvili	NOUN
ijassa-1381	150	14	,	,	PUNCT
ijassa-1381	150	15	v.	v.	CCONJ
ijassa-1381	150	16	melnichuk	melnichuk	PROPN
ijassa-1381	150	17	,	,	PUNCT
ijassa-1381	150	18	v.	v.	ADP
ijassa-1381	150	19	sych	sych	PROPN
ijassa-1381	150	20	5	5	NUM
ijassa-1381	150	21	.	.	PUNCT
ijassa-1381	150	22	identifying	identify	VERB
ijassa-1381	150	23	opinions	opinion	NOUN
ijassa-1381	150	24	on	on	ADP
ijassa-1381	150	25	vaccination	vaccination	NOUN
ijassa-1381	150	26	the	the	DET
ijassa-1381	150	27	proposed	propose	VERB
ijassa-1381	150	28	methodology	methodology	NOUN
ijassa-1381	150	29	in	in	ADP
ijassa-1381	150	30	this	this	DET
ijassa-1381	150	31	study	study	NOUN
ijassa-1381	150	32	for	for	ADP
ijassa-1381	150	33	opinion	opinion	NOUN
ijassa-1381	150	34	analysis	analysis	NOUN
ijassa-1381	150	35	,	,	PUNCT
ijassa-1381	150	36	classification	classification	NOUN
ijassa-1381	150	37	and	and	CCONJ
ijassa-1381	150	38	opinion	opinion	NOUN
ijassa-1381	150	39	dynamics	dynamic	NOUN
ijassa-1381	150	40	involves	involve	VERB
ijassa-1381	150	41	several	several	ADJ
ijassa-1381	150	42	steps	step	NOUN
ijassa-1381	150	43	:	:	PUNCT
ijassa-1381	150	44	1	1	X
ijassa-1381	150	45	.	.	X
ijassa-1381	150	46	data	datum	NOUN
ijassa-1381	150	47	gathering	gather	VERB
ijassa-1381	150	48	2	2	NUM
ijassa-1381	150	49	.	.	PUNCT
ijassa-1381	150	50	data	datum	NOUN
ijassa-1381	150	51	preprocessing	preprocesse	VERB
ijassa-1381	150	52	3	3	NUM
ijassa-1381	150	53	.	.	PUNCT
ijassa-1381	150	54	data	datum	NOUN
ijassa-1381	150	55	labelling	label	VERB
ijassa-1381	150	56	4	4	NUM
ijassa-1381	150	57	.	.	PUNCT
ijassa-1381	151	1	opinion	opinion	NOUN
ijassa-1381	151	2	analysis	analysis	NOUN
ijassa-1381	151	3	5	5	NUM
ijassa-1381	151	4	.	.	PUNCT
ijassa-1381	152	1	opinion	opinion	NOUN
ijassa-1381	152	2	classification	classification	NOUN
ijassa-1381	152	3	using	use	VERB
ijassa-1381	152	4	a	a	DET
ijassa-1381	152	5	bert	bert	NOUN
ijassa-1381	152	6	-	-	PUNCT
ijassa-1381	152	7	based	base	VERB
ijassa-1381	152	8	model	model	NOUN
ijassa-1381	152	9	without	without	ADP
ijassa-1381	152	10	active	active	ADJ
ijassa-1381	152	11	learning	learn	VERB
ijassa-1381	152	12	6	6	NUM
ijassa-1381	152	13	.	.	PUNCT
ijassa-1381	153	1	opinion	opinion	NOUN
ijassa-1381	153	2	classification	classification	NOUN
ijassa-1381	153	3	using	use	VERB
ijassa-1381	153	4	the	the	DET
ijassa-1381	153	5	bert	bert	NOUN
ijassa-1381	153	6	-	-	PUNCT
ijassa-1381	153	7	based	base	VERB
ijassa-1381	153	8	model	model	NOUN
ijassa-1381	153	9	with	with	ADP
ijassa-1381	153	10	active	active	ADJ
ijassa-1381	153	11	learning	learn	VERB
ijassa-1381	153	12	7	7	NUM
ijassa-1381	153	13	.	.	PUNCT
ijassa-1381	154	1	opinion	opinion	NOUN
ijassa-1381	154	2	dynamics	dynamic	NOUN
ijassa-1381	154	3	research	research	VERB
ijassa-1381	154	4	the	the	DET
ijassa-1381	154	5	flowchart	flowchart	NOUN
ijassa-1381	154	6	,	,	PUNCT
ijassa-1381	154	7	encoder	encoder	NOUN
ijassa-1381	154	8	and	and	CCONJ
ijassa-1381	154	9	decoder	decoder	NOUN
ijassa-1381	154	10	of	of	ADP
ijassa-1381	154	11	the	the	DET
ijassa-1381	154	12	bert	bert	NOUN
ijassa-1381	154	13	-	-	PUNCT
ijassa-1381	154	14	based	base	VERB
ijassa-1381	154	15	model	model	NOUN
ijassa-1381	154	16	,	,	PUNCT
ijassa-1381	154	17	along	along	ADP
ijassa-1381	154	18	with	with	ADP
ijassa-1381	154	19	the	the	DET
ijassa-1381	154	20	active	active	ADJ
ijassa-1381	154	21	learning	learning	NOUN
ijassa-1381	154	22	algorithm	algorithm	NOUN
ijassa-1381	154	23	,	,	PUNCT
ijassa-1381	154	24	are	be	AUX
ijassa-1381	154	25	shown	show	VERB
ijassa-1381	154	26	in	in	ADP
ijassa-1381	154	27	fig	fig	NOUN
ijassa-1381	154	28	.	.	PUNCT
ijassa-1381	155	1	5.9	5.9	NUM
ijassa-1381	155	2	,	,	PUNCT
ijassa-1381	155	3	fig	fig	NOUN
ijassa-1381	155	4	.	.	PUNCT
ijassa-1381	156	1	5.10	5.10	NUM
ijassa-1381	156	2	,	,	PUNCT
ijassa-1381	156	3	and	and	CCONJ
ijassa-1381	156	4	algorithm	algorithm	NOUN
ijassa-1381	156	5	1	1	NUM
ijassa-1381	156	6	,	,	PUNCT
ijassa-1381	156	7	respectively	respectively	ADV
ijassa-1381	156	8	.	.	PUNCT
ijassa-1381	157	1	the	the	DET
ijassa-1381	157	2	details	detail	NOUN
ijassa-1381	157	3	of	of	ADP
ijassa-1381	157	4	each	each	DET
ijassa-1381	157	5	step	step	NOUN
ijassa-1381	157	6	of	of	ADP
ijassa-1381	157	7	the	the	DET
ijassa-1381	157	8	proposed	propose	VERB
ijassa-1381	157	9	methodology	methodology	NOUN
ijassa-1381	157	10	are	be	AUX
ijassa-1381	157	11	described	describe	VERB
ijassa-1381	157	12	in	in	ADP
ijassa-1381	157	13	subsequent	subsequent	ADJ
ijassa-1381	157	14	subsections	subsection	NOUN
ijassa-1381	157	15	.	.	PUNCT
ijassa-1381	158	1	5.1	5.1	NUM
ijassa-1381	158	2	.	.	PUNCT
ijassa-1381	159	1	data	datum	NOUN
ijassa-1381	159	2	gathering	gathering	NOUN
ijassa-1381	159	3	in	in	ADP
ijassa-1381	159	4	an	an	DET
ijassa-1381	159	5	era	era	NOUN
ijassa-1381	159	6	marked	mark	VERB
ijassa-1381	159	7	by	by	ADP
ijassa-1381	159	8	unprecedented	unprecedented	ADJ
ijassa-1381	159	9	challenges	challenge	NOUN
ijassa-1381	159	10	,	,	PUNCT
ijassa-1381	159	11	social	social	ADJ
ijassa-1381	159	12	media	medium	NOUN
ijassa-1381	159	13	platforms	platform	NOUN
ijassa-1381	159	14	have	have	AUX
ijassa-1381	159	15	emerged	emerge	VERB
ijassa-1381	159	16	as	as	ADP
ijassa-1381	159	17	crucial	crucial	ADJ
ijassa-1381	159	18	instruments	instrument	NOUN
ijassa-1381	159	19	for	for	ADP
ijassa-1381	159	20	understanding	understand	VERB
ijassa-1381	159	21	public	public	ADJ
ijassa-1381	159	22	sentiment	sentiment	NOUN
ijassa-1381	159	23	and	and	CCONJ
ijassa-1381	159	24	opinion	opinion	NOUN
ijassa-1381	159	25	[	[	X
ijassa-1381	159	26	1	1	NUM
ijassa-1381	159	27	,	,	PUNCT
ijassa-1381	159	28	2	2	NUM
ijassa-1381	159	29	,	,	PUNCT
ijassa-1381	159	30	6	6	NUM
ijassa-1381	159	31	]	]	PUNCT
ijassa-1381	159	32	.	.	PUNCT
ijassa-1381	160	1	among	among	ADP
ijassa-1381	160	2	these	these	DET
ijassa-1381	160	3	platforms	platform	NOUN
ijassa-1381	160	4	,	,	PUNCT
ijassa-1381	160	5	vk	vk	PROPN
ijassa-1381	160	6	,	,	PUNCT
ijassa-1381	160	7	a	a	DET
ijassa-1381	160	8	popular	popular	ADJ
ijassa-1381	160	9	social	social	ADJ
ijassa-1381	160	10	network	network	NOUN
ijassa-1381	160	11	,	,	PUNCT
ijassa-1381	160	12	offers	offer	VERB
ijassa-1381	160	13	a	a	DET
ijassa-1381	160	14	rich	rich	ADJ
ijassa-1381	160	15	dataset	dataset	NOUN
ijassa-1381	160	16	for	for	ADP
ijassa-1381	160	17	analyzing	analyze	VERB
ijassa-1381	160	18	public	public	ADJ
ijassa-1381	160	19	views	view	NOUN
ijassa-1381	160	20	on	on	ADP
ijassa-1381	160	21	pressing	press	VERB
ijassa-1381	160	22	issues	issue	NOUN
ijassa-1381	160	23	such	such	ADJ
ijassa-1381	160	24	as	as	ADP
ijassa-1381	160	25	covid-19	covid-19	PROPN
ijassa-1381	160	26	vaccinations	vaccination	NOUN
ijassa-1381	160	27	.	.	PUNCT
ijassa-1381	161	1	this	this	DET
ijassa-1381	161	2	study	study	NOUN
ijassa-1381	161	3	leverages	leverage	VERB
ijassa-1381	161	4	data	datum	NOUN
ijassa-1381	161	5	from	from	ADP
ijassa-1381	161	6	vk	vk	NUM
ijassa-1381	161	7	to	to	PART
ijassa-1381	161	8	conduct	conduct	VERB
ijassa-1381	161	9	a	a	DET
ijassa-1381	161	10	comprehensive	comprehensive	ADJ
ijassa-1381	161	11	opinion	opinion	NOUN
ijassa-1381	161	12	analysis	analysis	NOUN
ijassa-1381	161	13	on	on	ADP
ijassa-1381	161	14	the	the	DET
ijassa-1381	161	15	subject	subject	NOUN
ijassa-1381	161	16	[	[	X
ijassa-1381	161	17	3	3	NUM
ijassa-1381	161	18	,	,	PUNCT
ijassa-1381	161	19	5	5	NUM
ijassa-1381	161	20	]	]	PUNCT
ijassa-1381	161	21	.	.	PUNCT
ijassa-1381	162	1	5.1.1	5.1.1	X
ijassa-1381	162	2	.	.	PUNCT
ijassa-1381	162	3	data	datum	NOUN
ijassa-1381	162	4	source	source	NOUN
ijassa-1381	162	5	and	and	CCONJ
ijassa-1381	162	6	origins	origin	NOUN
ijassa-1381	162	7	the	the	DET
ijassa-1381	162	8	data	datum	NOUN
ijassa-1381	162	9	for	for	ADP
ijassa-1381	162	10	this	this	DET
ijassa-1381	162	11	study	study	NOUN
ijassa-1381	162	12	was	be	AUX
ijassa-1381	162	13	sourced	source	VERB
ijassa-1381	162	14	from	from	ADP
ijassa-1381	162	15	vk	vk	PROPN
ijassa-1381	162	16	,	,	PUNCT
ijassa-1381	162	17	specifically	specifically	ADV
ijassa-1381	162	18	from	from	ADP
ijassa-1381	162	19	popular	popular	ADJ
ijassa-1381	162	20	news	news	NOUN
ijassa-1381	162	21	communities	community	NOUN
ijassa-1381	162	22	.	.	PUNCT
ijassa-1381	163	1	a	a	DET
ijassa-1381	163	2	total	total	NOUN
ijassa-1381	163	3	of	of	ADP
ijassa-1381	163	4	2.2	2.2	NUM
ijassa-1381	163	5	million	million	NUM
ijassa-1381	163	6	commentaries	commentary	NOUN
ijassa-1381	163	7	related	relate	VERB
ijassa-1381	163	8	to	to	ADP
ijassa-1381	163	9	”	"	PUNCT
ijassa-1381	163	10	covid19	covid19	NOUN
ijassa-1381	163	11	vaccination	vaccination	NOUN
ijassa-1381	163	12	”	"	PUNCT
ijassa-1381	163	13	were	be	AUX
ijassa-1381	163	14	collected	collect	VERB
ijassa-1381	163	15	using	use	VERB
ijassa-1381	163	16	vk	vk	ADP
ijassa-1381	163	17	’s	’s	PART
ijassa-1381	163	18	api	api	NOUN
ijassa-1381	163	19	(	(	PUNCT
ijassa-1381	163	20	application	application	NOUN
ijassa-1381	163	21	programming	programming	NOUN
ijassa-1381	163	22	interface	interface	NOUN
ijassa-1381	163	23	)	)	PUNCT
ijassa-1381	164	1	[	[	X
ijassa-1381	164	2	24	24	NUM
ijassa-1381	164	3	]	]	PUNCT
ijassa-1381	164	4	.	.	PUNCT
ijassa-1381	165	1	these	these	DET
ijassa-1381	165	2	commentaries	commentary	NOUN
ijassa-1381	165	3	were	be	AUX
ijassa-1381	165	4	part	part	NOUN
ijassa-1381	165	5	of	of	ADP
ijassa-1381	165	6	various	various	ADJ
ijassa-1381	165	7	discussions	discussion	NOUN
ijassa-1381	165	8	,	,	PUNCT
ijassa-1381	165	9	posts	post	NOUN
ijassa-1381	165	10	,	,	PUNCT
ijassa-1381	165	11	and	and	CCONJ
ijassa-1381	165	12	threads	thread	NOUN
ijassa-1381	165	13	within	within	ADP
ijassa-1381	165	14	these	these	DET
ijassa-1381	165	15	communities	community	NOUN
ijassa-1381	165	16	.	.	PUNCT
ijassa-1381	166	1	importantly	importantly	ADV
ijassa-1381	166	2	,	,	PUNCT
ijassa-1381	166	3	the	the	DET
ijassa-1381	166	4	data	data	NOUN
ijassa-1381	166	5	spans	span	VERB
ijassa-1381	166	6	a	a	DET
ijassa-1381	166	7	period	period	NOUN
ijassa-1381	166	8	from	from	ADP
ijassa-1381	166	9	january	january	PROPN
ijassa-1381	166	10	19	19	NUM
ijassa-1381	166	11	,	,	PUNCT
ijassa-1381	166	12	2020	2020	NUM
ijassa-1381	166	13	,	,	PUNCT
ijassa-1381	166	14	to	to	ADP
ijassa-1381	166	15	january	january	PROPN
ijassa-1381	166	16	19	19	NUM
ijassa-1381	166	17	,	,	PUNCT
ijassa-1381	166	18	2021	2021	NUM
ijassa-1381	166	19	.	.	PUNCT
ijassa-1381	167	1	this	this	DET
ijassa-1381	167	2	timeframe	timeframe	NOUN
ijassa-1381	167	3	captures	capture	VERB
ijassa-1381	167	4	the	the	DET
ijassa-1381	167	5	beginning	beginning	NOUN
ijassa-1381	167	6	of	of	ADP
ijassa-1381	167	7	the	the	DET
ijassa-1381	167	8	covid-19	covid-19	PROPN
ijassa-1381	167	9	pandemic	pandemic	NOUN
ijassa-1381	167	10	and	and	CCONJ
ijassa-1381	167	11	includes	include	VERB
ijassa-1381	167	12	the	the	DET
ijassa-1381	167	13	first	first	ADJ
ijassa-1381	167	14	two	two	NUM
ijassa-1381	167	15	waves	wave	NOUN
ijassa-1381	167	16	of	of	ADP
ijassa-1381	167	17	infections	infection	NOUN
ijassa-1381	167	18	,	,	PUNCT
ijassa-1381	167	19	thereby	thereby	ADV
ijassa-1381	167	20	providing	provide	VERB
ijassa-1381	167	21	a	a	DET
ijassa-1381	167	22	dynamic	dynamic	ADJ
ijassa-1381	167	23	view	view	NOUN
ijassa-1381	167	24	of	of	ADP
ijassa-1381	167	25	evolving	evolve	VERB
ijassa-1381	167	26	public	public	ADJ
ijassa-1381	167	27	opinion	opinion	NOUN
ijassa-1381	167	28	.	.	PUNCT
ijassa-1381	168	1	5.1.2	5.1.2	X
ijassa-1381	168	2	.	.	PUNCT
ijassa-1381	168	3	data	datum	NOUN
ijassa-1381	168	4	anonymization	anonymization	NOUN
ijassa-1381	168	5	and	and	CCONJ
ijassa-1381	168	6	ethics	ethic	NOUN
ijassa-1381	168	7	to	to	PART
ijassa-1381	168	8	adhere	adhere	VERB
ijassa-1381	168	9	to	to	ADP
ijassa-1381	168	10	privacy	privacy	NOUN
ijassa-1381	168	11	and	and	CCONJ
ijassa-1381	168	12	ethical	ethical	ADJ
ijassa-1381	168	13	standards	standard	NOUN
ijassa-1381	168	14	,	,	PUNCT
ijassa-1381	168	15	all	all	DET
ijassa-1381	168	16	collected	collect	VERB
ijassa-1381	168	17	commentaries	commentary	NOUN
ijassa-1381	168	18	were	be	AUX
ijassa-1381	168	19	anonymized	anonymize	VERB
ijassa-1381	168	20	prior	prior	ADV
ijassa-1381	168	21	to	to	ADP
ijassa-1381	168	22	preprocessing	preprocesse	VERB
ijassa-1381	168	23	.	.	PUNCT
ijassa-1381	169	1	identifiable	identifiable	ADJ
ijassa-1381	169	2	information	information	NOUN
ijassa-1381	169	3	such	such	ADJ
ijassa-1381	169	4	as	as	ADP
ijassa-1381	169	5	usernames	username	NOUN
ijassa-1381	169	6	,	,	PUNCT
ijassa-1381	169	7	profile	profile	NOUN
ijassa-1381	169	8	pictures	picture	NOUN
ijassa-1381	169	9	,	,	PUNCT
ijassa-1381	169	10	and	and	CCONJ
ijassa-1381	169	11	any	any	DET
ijassa-1381	169	12	other	other	ADJ
ijassa-1381	169	13	personal	personal	ADJ
ijassa-1381	169	14	identifiers	identifier	NOUN
ijassa-1381	169	15	were	be	AUX
ijassa-1381	169	16	removed	remove	VERB
ijassa-1381	169	17	to	to	PART
ijassa-1381	169	18	maintain	maintain	VERB
ijassa-1381	169	19	the	the	DET
ijassa-1381	169	20	anonymity	anonymity	NOUN
ijassa-1381	169	21	of	of	ADP
ijassa-1381	169	22	the	the	DET
ijassa-1381	169	23	individuals	individual	NOUN
ijassa-1381	169	24	involved	involve	VERB
ijassa-1381	169	25	.	.	PUNCT
ijassa-1381	170	1	5.1.3	5.1.3	X
ijassa-1381	170	2	.	.	PUNCT
ijassa-1381	170	3	relevance	relevance	NOUN
ijassa-1381	170	4	to	to	ADP
ijassa-1381	170	5	the	the	DET
ijassa-1381	170	6	study	study	NOUN
ijassa-1381	170	7	the	the	DET
ijassa-1381	170	8	vk	vk	NOUN
ijassa-1381	170	9	dataset	dataset	NOUN
ijassa-1381	170	10	is	be	AUX
ijassa-1381	170	11	particularly	particularly	ADV
ijassa-1381	170	12	relevant	relevant	ADJ
ijassa-1381	170	13	to	to	ADP
ijassa-1381	170	14	this	this	DET
ijassa-1381	170	15	study	study	NOUN
ijassa-1381	170	16	for	for	ADP
ijassa-1381	170	17	several	several	ADJ
ijassa-1381	170	18	reasons	reason	NOUN
ijassa-1381	170	19	:	:	PUNCT
ijassa-1381	171	1	1	1	X
ijassa-1381	171	2	.	.	X
ijassa-1381	171	3	volume	volume	NOUN
ijassa-1381	171	4	:	:	PUNCT
ijassa-1381	171	5	the	the	DET
ijassa-1381	171	6	large	large	ADJ
ijassa-1381	171	7	number	number	NOUN
ijassa-1381	171	8	of	of	ADP
ijassa-1381	171	9	commentaries	commentary	NOUN
ijassa-1381	171	10	provides	provide	VERB
ijassa-1381	171	11	a	a	DET
ijassa-1381	171	12	robust	robust	ADJ
ijassa-1381	171	13	sample	sample	NOUN
ijassa-1381	171	14	for	for	ADP
ijassa-1381	171	15	analysis	analysis	NOUN
ijassa-1381	171	16	.	.	PUNCT
ijassa-1381	172	1	2	2	X
ijassa-1381	172	2	.	.	X
ijassa-1381	172	3	diversity	diversity	NOUN
ijassa-1381	172	4	:	:	PUNCT
ijassa-1381	172	5	the	the	DET
ijassa-1381	172	6	dataset	dataset	NOUN
ijassa-1381	172	7	includes	include	VERB
ijassa-1381	172	8	opinions	opinion	NOUN
ijassa-1381	172	9	from	from	ADP
ijassa-1381	172	10	individuals	individual	NOUN
ijassa-1381	172	11	of	of	ADP
ijassa-1381	172	12	various	various	ADJ
ijassa-1381	172	13	demographics	demographic	NOUN
ijassa-1381	172	14	,	,	PUNCT
ijassa-1381	172	15	offering	offer	VERB
ijassa-1381	172	16	a	a	DET
ijassa-1381	172	17	more	more	ADV
ijassa-1381	172	18	comprehensive	comprehensive	ADJ
ijassa-1381	172	19	view	view	NOUN
ijassa-1381	172	20	of	of	ADP
ijassa-1381	172	21	public	public	ADJ
ijassa-1381	172	22	sentiment	sentiment	NOUN
ijassa-1381	172	23	.	.	PUNCT
ijassa-1381	173	1	3	3	X
ijassa-1381	173	2	.	.	X
ijassa-1381	173	3	timeliness	timeliness	NOUN
ijassa-1381	173	4	:	:	PUNCT
ijassa-1381	173	5	the	the	DET
ijassa-1381	173	6	data	data	NOUN
ijassa-1381	173	7	covers	cover	VERB
ijassa-1381	173	8	a	a	DET
ijassa-1381	173	9	critical	critical	ADJ
ijassa-1381	173	10	period	period	NOUN
ijassa-1381	173	11	in	in	ADP
ijassa-1381	173	12	the	the	DET
ijassa-1381	173	13	covid-19	covid-19	PROPN
ijassa-1381	173	14	pandemic	pandemic	NOUN
ijassa-1381	173	15	,	,	PUNCT
ijassa-1381	173	16	making	make	VERB
ijassa-1381	173	17	it	it	PRON
ijassa-1381	173	18	highly	highly	ADV
ijassa-1381	173	19	current	current	ADJ
ijassa-1381	173	20	and	and	CCONJ
ijassa-1381	173	21	relevant	relevant	ADJ
ijassa-1381	173	22	.	.	PUNCT
ijassa-1381	174	1	by	by	ADP
ijassa-1381	174	2	leveraging	leverage	VERB
ijassa-1381	174	3	this	this	DET
ijassa-1381	174	4	dataset	dataset	NOUN
ijassa-1381	174	5	,	,	PUNCT
ijassa-1381	174	6	the	the	DET
ijassa-1381	174	7	study	study	NOUN
ijassa-1381	174	8	aims	aim	VERB
ijassa-1381	174	9	to	to	PART
ijassa-1381	174	10	offer	offer	VERB
ijassa-1381	174	11	a	a	DET
ijassa-1381	174	12	nuanced	nuanced	ADJ
ijassa-1381	174	13	understanding	understanding	NOUN
ijassa-1381	174	14	of	of	ADP
ijassa-1381	174	15	public	public	ADJ
ijassa-1381	174	16	opinions	opinion	NOUN
ijassa-1381	174	17	on	on	ADP
ijassa-1381	174	18	covid-19	covid-19	PROPN
ijassa-1381	174	19	vaccinations	vaccination	NOUN
ijassa-1381	174	20	,	,	PUNCT
ijassa-1381	174	21	thereby	thereby	ADV
ijassa-1381	174	22	providing	provide	VERB
ijassa-1381	174	23	valuable	valuable	ADJ
ijassa-1381	174	24	insights	insight	NOUN
ijassa-1381	174	25	for	for	ADP
ijassa-1381	174	26	policymakers	policymaker	NOUN
ijassa-1381	174	27	,	,	PUNCT
ijassa-1381	174	28	healthcare	healthcare	NOUN
ijassa-1381	174	29	providers	provider	NOUN
ijassa-1381	174	30	,	,	PUNCT
ijassa-1381	174	31	and	and	CCONJ
ijassa-1381	174	32	the	the	DET
ijassa-1381	174	33	general	general	ADJ
ijassa-1381	174	34	public	public	NOUN
ijassa-1381	174	35	.	.	PUNCT
ijassa-1381	175	1	5.2	5.2	NUM
ijassa-1381	175	2	.	.	PUNCT
ijassa-1381	176	1	data	datum	NOUN
ijassa-1381	176	2	preprocessing	preprocesse	VERB
ijassa-1381	176	3	in	in	ADP
ijassa-1381	176	4	this	this	DET
ijassa-1381	176	5	chapter	chapter	NOUN
ijassa-1381	176	6	,	,	PUNCT
ijassa-1381	176	7	the	the	DET
ijassa-1381	176	8	data	data	NOUN
ijassa-1381	176	9	preprocessing	preprocessing	NOUN
ijassa-1381	176	10	process	process	NOUN
ijassa-1381	176	11	is	be	AUX
ijassa-1381	176	12	explained	explain	VERB
ijassa-1381	176	13	,	,	PUNCT
ijassa-1381	176	14	which	which	PRON
ijassa-1381	176	15	includes	include	VERB
ijassa-1381	176	16	four	four	NUM
ijassa-1381	176	17	sub	sub	NOUN
ijassa-1381	176	18	-	-	NOUN
ijassa-1381	176	19	steps	step	NOUN
ijassa-1381	176	20	:	:	PUNCT
ijassa-1381	176	21	data	datum	NOUN
ijassa-1381	176	22	cleaning	cleaning	NOUN
ijassa-1381	176	23	,	,	PUNCT
ijassa-1381	176	24	normalization	normalization	NOUN
ijassa-1381	176	25	of	of	ADP
ijassa-1381	176	26	data	datum	NOUN
ijassa-1381	176	27	,	,	PUNCT
ijassa-1381	176	28	tokenization	tokenization	NOUN
ijassa-1381	176	29	of	of	ADP
ijassa-1381	176	30	commentaries	commentary	NOUN
ijassa-1381	176	31	,	,	PUNCT
ijassa-1381	176	32	and	and	CCONJ
ijassa-1381	176	33	vectorization	vectorization	NOUN
ijassa-1381	176	34	.	.	PUNCT
ijassa-1381	177	1	as	as	SCONJ
ijassa-1381	177	2	the	the	DET
ijassa-1381	177	3	collected	collect	VERB
ijassa-1381	177	4	commentaries	commentary	NOUN
ijassa-1381	177	5	are	be	AUX
ijassa-1381	177	6	noisy	noisy	ADJ
ijassa-1381	177	7	and	and	CCONJ
ijassa-1381	177	8	unlabelled	unlabelled	ADJ
ijassa-1381	177	9	,	,	PUNCT
ijassa-1381	177	10	only	only	ADV
ijassa-1381	177	11	7	7	NUM
ijassa-1381	177	12	000	000	NUM
ijassa-1381	177	13	commentaries	commentary	NOUN
ijassa-1381	177	14	out	out	ADP
ijassa-1381	177	15	of	of	ADP
ijassa-1381	177	16	2.2	2.2	NUM
ijassa-1381	177	17	copyright	copyright	NOUN
ijassa-1381	177	18	©	©	PROPN
ijassa-1381	177	19	2023	2023	NUM
ijassa-1381	177	20	assa	assa	NOUN
ijassa-1381	177	21	.	.	PUNCT
ijassa-1381	178	1	adv	adv	PROPN
ijassa-1381	178	2	syst	syst	PROPN
ijassa-1381	178	3	sci	sci	PROPN
ijassa-1381	178	4	appl	appl	PROPN
ijassa-1381	178	5	(	(	PUNCT
ijassa-1381	178	6	2023	2023	NUM
ijassa-1381	178	7	)	)	PUNCT
ijassa-1381	178	8	assa	assa	NOUN
ijassa-1381	178	9	latex	latex	NOUN
ijassa-1381	178	10	template	template	NOUN
ijassa-1381	178	11	117	117	NUM
ijassa-1381	178	12	million	million	NUM
ijassa-1381	178	13	were	be	AUX
ijassa-1381	178	14	labelled	label	VERB
ijassa-1381	178	15	manually	manually	ADV
ijassa-1381	178	16	by	by	ADP
ijassa-1381	178	17	three	three	NUM
ijassa-1381	178	18	linguistics	linguistic	NOUN
ijassa-1381	178	19	and	and	CCONJ
ijassa-1381	178	20	medical	medical	ADJ
ijassa-1381	178	21	science	science	NOUN
ijassa-1381	178	22	experts	expert	NOUN
ijassa-1381	178	23	.	.	PUNCT
ijassa-1381	179	1	the	the	DET
ijassa-1381	179	2	data	datum	NOUN
ijassa-1381	179	3	cleaning	cleaning	NOUN
ijassa-1381	179	4	process	process	NOUN
ijassa-1381	179	5	is	be	AUX
ijassa-1381	179	6	applied	apply	VERB
ijassa-1381	179	7	to	to	PART
ijassa-1381	179	8	eliminate	eliminate	VERB
ijassa-1381	179	9	noises	noise	NOUN
ijassa-1381	179	10	such	such	ADJ
ijassa-1381	179	11	as	as	ADP
ijassa-1381	179	12	unnecessary	unnecessary	ADJ
ijassa-1381	179	13	words	word	NOUN
ijassa-1381	179	14	,	,	PUNCT
ijassa-1381	179	15	emojis	emoji	NOUN
ijassa-1381	179	16	,	,	PUNCT
ijassa-1381	179	17	additional	additional	ADJ
ijassa-1381	179	18	characters	character	NOUN
ijassa-1381	179	19	in	in	ADP
ijassa-1381	179	20	sentences	sentence	NOUN
ijassa-1381	179	21	,	,	PUNCT
ijassa-1381	179	22	blank	blank	ADJ
ijassa-1381	179	23	spaces	space	NOUN
ijassa-1381	179	24	,	,	PUNCT
ijassa-1381	179	25	stopping	stop	VERB
ijassa-1381	179	26	words	word	NOUN
ijassa-1381	179	27	,	,	PUNCT
ijassa-1381	179	28	and	and	CCONJ
ijassa-1381	179	29	punctuation	punctuation	NOUN
ijassa-1381	179	30	.	.	PUNCT
ijassa-1381	180	1	to	to	PART
ijassa-1381	180	2	normalize	normalize	VERB
ijassa-1381	180	3	the	the	DET
ijassa-1381	180	4	data	datum	NOUN
ijassa-1381	180	5	,	,	PUNCT
ijassa-1381	180	6	stemming	stem	VERB
ijassa-1381	180	7	and	and	CCONJ
ijassa-1381	180	8	lemmatization	lemmatization	NOUN
ijassa-1381	180	9	techniques	technique	NOUN
ijassa-1381	180	10	are	be	AUX
ijassa-1381	180	11	used	use	VERB
ijassa-1381	180	12	from	from	ADP
ijassa-1381	180	13	the	the	DET
ijassa-1381	180	14	wordnetlemmatize	wordnetlemmatize	NOUN
ijassa-1381	180	15	package	package	NOUN
ijassa-1381	180	16	of	of	ADP
ijassa-1381	180	17	natural	natural	ADJ
ijassa-1381	180	18	language	language	NOUN
ijassa-1381	180	19	tool	tool	NOUN
ijassa-1381	180	20	kit	kit	NOUN
ijassa-1381	180	21	(	(	PUNCT
ijassa-1381	180	22	nltk	nltk	PROPN
ijassa-1381	180	23	)	)	PUNCT
ijassa-1381	180	24	for	for	ADP
ijassa-1381	180	25	logistic	logistic	ADJ
ijassa-1381	180	26	regression	regression	NOUN
ijassa-1381	180	27	(	(	PUNCT
ijassa-1381	180	28	lr	lr	NOUN
ijassa-1381	180	29	)	)	PUNCT
ijassa-1381	180	30	,	,	PUNCT
ijassa-1381	180	31	gradient	gradient	NOUN
ijassa-1381	180	32	boosting	boosting	NOUN
ijassa-1381	180	33	,	,	PUNCT
ijassa-1381	180	34	and	and	CCONJ
ijassa-1381	180	35	xgb	xgb	NOUN
ijassa-1381	180	36	models	model	NOUN
ijassa-1381	180	37	.	.	PUNCT
ijassa-1381	181	1	the	the	DET
ijassa-1381	181	2	stemming	stem	VERB
ijassa-1381	181	3	technique	technique	NOUN
ijassa-1381	181	4	is	be	AUX
ijassa-1381	181	5	used	use	VERB
ijassa-1381	181	6	to	to	PART
ijassa-1381	181	7	determine	determine	VERB
ijassa-1381	181	8	the	the	DET
ijassa-1381	181	9	root	root	NOUN
ijassa-1381	181	10	form	form	NOUN
ijassa-1381	181	11	by	by	ADP
ijassa-1381	181	12	removing	remove	VERB
ijassa-1381	181	13	terminators	terminator	NOUN
ijassa-1381	181	14	from	from	ADP
ijassa-1381	181	15	words	word	NOUN
ijassa-1381	181	16	,	,	PUNCT
ijassa-1381	181	17	while	while	SCONJ
ijassa-1381	181	18	lemmatization	lemmatization	NOUN
ijassa-1381	181	19	groups	group	NOUN
ijassa-1381	181	20	similar	similar	ADJ
ijassa-1381	181	21	words	word	NOUN
ijassa-1381	181	22	in	in	ADP
ijassa-1381	181	23	various	various	ADJ
ijassa-1381	181	24	forms	form	NOUN
ijassa-1381	181	25	to	to	PART
ijassa-1381	181	26	reduce	reduce	VERB
ijassa-1381	181	27	dimensionality	dimensionality	NOUN
ijassa-1381	181	28	.	.	PUNCT
ijassa-1381	182	1	finally	finally	ADV
ijassa-1381	182	2	,	,	PUNCT
ijassa-1381	182	3	the	the	DET
ijassa-1381	182	4	normalized	normalize	VERB
ijassa-1381	182	5	dataset	dataset	NOUN
ijassa-1381	182	6	is	be	AUX
ijassa-1381	182	7	tokenized	tokenize	VERB
ijassa-1381	182	8	by	by	ADP
ijassa-1381	182	9	dividing	divide	VERB
ijassa-1381	182	10	the	the	DET
ijassa-1381	182	11	text	text	NOUN
ijassa-1381	182	12	into	into	ADP
ijassa-1381	182	13	tokens	token	NOUN
ijassa-1381	182	14	and	and	CCONJ
ijassa-1381	182	15	used	use	VERB
ijassa-1381	182	16	as	as	ADP
ijassa-1381	182	17	features	feature	NOUN
ijassa-1381	182	18	for	for	ADP
ijassa-1381	182	19	training	training	NOUN
ijassa-1381	182	20	,	,	PUNCT
ijassa-1381	182	21	validation	validation	NOUN
ijassa-1381	182	22	,	,	PUNCT
ijassa-1381	182	23	and	and	CCONJ
ijassa-1381	182	24	test	test	NOUN
ijassa-1381	182	25	datasets	dataset	NOUN
ijassa-1381	182	26	.	.	PUNCT
ijassa-1381	183	1	fig	fig	NOUN
ijassa-1381	183	2	.	.	PUNCT
ijassa-1381	184	1	5.9	5.9	NUM
ijassa-1381	184	2	.	.	PUNCT
ijassa-1381	185	1	flowchart	flowchart	NOUN
ijassa-1381	185	2	of	of	ADP
ijassa-1381	185	3	the	the	DET
ijassa-1381	185	4	proposed	propose	VERB
ijassa-1381	185	5	research	research	NOUN
ijassa-1381	185	6	5.3	5.3	NUM
ijassa-1381	185	7	.	.	PUNCT
ijassa-1381	186	1	data	datum	NOUN
ijassa-1381	186	2	labelling	label	VERB
ijassa-1381	186	3	three	three	NUM
ijassa-1381	186	4	experts	expert	NOUN
ijassa-1381	186	5	in	in	ADP
ijassa-1381	186	6	linguistics	linguistic	NOUN
ijassa-1381	186	7	and	and	CCONJ
ijassa-1381	186	8	medical	medical	ADJ
ijassa-1381	186	9	science	science	NOUN
ijassa-1381	186	10	manually	manually	ADV
ijassa-1381	186	11	labelled	label	VERB
ijassa-1381	186	12	a	a	DET
ijassa-1381	186	13	training	training	NOUN
ijassa-1381	186	14	dataset	dataset	NOUN
ijassa-1381	186	15	of	of	ADP
ijassa-1381	186	16	sentences	sentence	NOUN
ijassa-1381	186	17	as	as	ADP
ijassa-1381	186	18	negative	negative	ADJ
ijassa-1381	186	19	,	,	PUNCT
ijassa-1381	186	20	positive	positive	ADJ
ijassa-1381	186	21	,	,	PUNCT
ijassa-1381	186	22	or	or	CCONJ
ijassa-1381	186	23	neutral	neutral	ADJ
ijassa-1381	186	24	/	/	SYM
ijassa-1381	186	25	unknown	unknown	ADJ
ijassa-1381	186	26	,	,	PUNCT
ijassa-1381	186	27	represented	represent	VERB
ijassa-1381	186	28	by	by	ADP
ijassa-1381	186	29	the	the	DET
ijassa-1381	186	30	values	value	NOUN
ijassa-1381	186	31	0	0	NUM
ijassa-1381	186	32	,	,	PUNCT
ijassa-1381	186	33	1	1	NUM
ijassa-1381	186	34	,	,	PUNCT
ijassa-1381	186	35	and	and	CCONJ
ijassa-1381	186	36	2	2	NUM
ijassa-1381	186	37	,	,	PUNCT
ijassa-1381	186	38	respectively	respectively	ADV
ijassa-1381	186	39	.	.	PUNCT
ijassa-1381	187	1	the	the	DET
ijassa-1381	187	2	text	text	NOUN
ijassa-1381	187	3	data	datum	NOUN
ijassa-1381	187	4	was	be	AUX
ijassa-1381	187	5	then	then	ADV
ijassa-1381	187	6	transformed	transform	VERB
ijassa-1381	187	7	into	into	ADP
ijassa-1381	187	8	a	a	DET
ijassa-1381	187	9	vectorized	vectorize	VERB
ijassa-1381	187	10	form	form	NOUN
ijassa-1381	187	11	using	use	VERB
ijassa-1381	187	12	the	the	DET
ijassa-1381	187	13	tf	tf	PROPN
ijassa-1381	187	14	-	-	PUNCT
ijassa-1381	187	15	idf	idf	ADJ
ijassa-1381	187	16	(	(	PUNCT
ijassa-1381	187	17	term	term	NOUN
ijassa-1381	187	18	frequency	frequency	NOUN
ijassa-1381	187	19	–	–	PUNCT
ijassa-1381	187	20	inverse	inverse	ADJ
ijassa-1381	187	21	document	document	NOUN
ijassa-1381	187	22	frequency	frequency	NOUN
ijassa-1381	187	23	)	)	PUNCT
ijassa-1381	187	24	vectorization	vectorization	NOUN
ijassa-1381	187	25	technique	technique	NOUN
ijassa-1381	187	26	for	for	ADP
ijassa-1381	187	27	lr	lr	PROPN
ijassa-1381	187	28	.	.	PUNCT
ijassa-1381	188	1	this	this	DET
ijassa-1381	188	2	technique	technique	NOUN
ijassa-1381	188	3	extracts	extract	NOUN
ijassa-1381	188	4	features	feature	NOUN
ijassa-1381	188	5	from	from	ADP
ijassa-1381	188	6	labelled	label	VERB
ijassa-1381	188	7	data	datum	NOUN
ijassa-1381	188	8	based	base	VERB
ijassa-1381	188	9	on	on	ADP
ijassa-1381	188	10	the	the	DET
ijassa-1381	188	11	frequency	frequency	NOUN
ijassa-1381	188	12	of	of	ADP
ijassa-1381	188	13	words	word	NOUN
ijassa-1381	188	14	in	in	ADP
ijassa-1381	188	15	the	the	DET
ijassa-1381	188	16	text	text	NOUN
ijassa-1381	188	17	.	.	PUNCT
ijassa-1381	189	1	the	the	DET
ijassa-1381	189	2	phrase	phrase	NOUN
ijassa-1381	189	3	frequency	frequency	NOUN
ijassa-1381	189	4	(	(	PUNCT
ijassa-1381	189	5	tf	tf	NOUN
ijassa-1381	189	6	)	)	PUNCT
ijassa-1381	189	7	measures	measure	VERB
ijassa-1381	189	8	the	the	DET
ijassa-1381	189	9	frequency	frequency	NOUN
ijassa-1381	189	10	of	of	ADP
ijassa-1381	189	11	a	a	DET
ijassa-1381	189	12	word	word	NOUN
ijassa-1381	189	13	in	in	ADP
ijassa-1381	189	14	a	a	DET
ijassa-1381	189	15	document	document	NOUN
ijassa-1381	189	16	,	,	PUNCT
ijassa-1381	189	17	while	while	SCONJ
ijassa-1381	189	18	the	the	DET
ijassa-1381	189	19	inverse	inverse	NOUN
ijassa-1381	189	20	frequency	frequency	NOUN
ijassa-1381	189	21	of	of	ADP
ijassa-1381	189	22	words	word	NOUN
ijassa-1381	189	23	(	(	PUNCT
ijassa-1381	189	24	idf	idf	NOUN
ijassa-1381	189	25	)	)	PUNCT
ijassa-1381	189	26	measures	measure	VERB
ijassa-1381	189	27	the	the	DET
ijassa-1381	189	28	frequency	frequency	NOUN
ijassa-1381	189	29	of	of	ADP
ijassa-1381	189	30	a	a	DET
ijassa-1381	189	31	word	word	NOUN
ijassa-1381	189	32	in	in	ADP
ijassa-1381	189	33	the	the	DET
ijassa-1381	189	34	document	document	NOUN
ijassa-1381	189	35	set	set	NOUN
ijassa-1381	189	36	:	:	PUNCT
ijassa-1381	189	37	tf	tf	PROPN
ijassa-1381	189	38	(	(	PUNCT
ijassa-1381	189	39	t	t	PROPN
ijassa-1381	189	40	,	,	PUNCT
ijassa-1381	189	41	d	d	NOUN
ijassa-1381	189	42	)	)	PUNCT
ijassa-1381	189	43	=	=	SYM
ijassa-1381	189	44	ft	ft	PROPN
ijassa-1381	189	45	,	,	PUNCT
ijassa-1381	189	46	d∑	d∑	PROPN
ijassa-1381	189	47	k	k	PROPN
ijassa-1381	189	48	fk	fk	INTJ
ijassa-1381	189	49	,	,	PUNCT
ijassa-1381	189	50	d	d	PROPN
ijassa-1381	189	51	(	(	PUNCT
ijassa-1381	189	52	5.6	5.6	NUM
ijassa-1381	189	53	)	)	PUNCT
ijassa-1381	189	54	copyright	copyright	NOUN
ijassa-1381	189	55	©	©	PROPN
ijassa-1381	189	56	2023	2023	NUM
ijassa-1381	189	57	assa	assa	NOUN
ijassa-1381	189	58	.	.	PUNCT
ijassa-1381	190	1	adv	adv	PROPN
ijassa-1381	190	2	syst	syst	PROPN
ijassa-1381	190	3	sci	sci	PROPN
ijassa-1381	190	4	appl	appl	PROPN
ijassa-1381	190	5	(	(	PUNCT
ijassa-1381	190	6	2023	2023	NUM
ijassa-1381	190	7	)	)	PUNCT
ijassa-1381	190	8	118	118	NUM
ijassa-1381	190	9	d.	d.	PROPN
ijassa-1381	190	10	gubanov	gubanov	PROPN
ijassa-1381	190	11	,	,	PUNCT
ijassa-1381	190	12	a.	a.	NOUN
ijassa-1381	190	13	chkhartishvili	chkhartishvili	NOUN
ijassa-1381	190	14	,	,	PUNCT
ijassa-1381	190	15	v.	v.	CCONJ
ijassa-1381	190	16	melnichuk	melnichuk	PROPN
ijassa-1381	190	17	,	,	PUNCT
ijassa-1381	190	18	v.	v.	ADP
ijassa-1381	190	19	sych	sych	PROPN
ijassa-1381	190	20	where	where	SCONJ
ijassa-1381	190	21	ft	ft	NOUN
ijassa-1381	190	22	is	be	AUX
ijassa-1381	190	23	the	the	DET
ijassa-1381	190	24	count	count	NOUN
ijassa-1381	190	25	of	of	ADP
ijassa-1381	190	26	a	a	DET
ijassa-1381	190	27	term	term	NOUN
ijassa-1381	190	28	t	t	NOUN
ijassa-1381	190	29	in	in	ADP
ijassa-1381	190	30	a	a	DET
ijassa-1381	190	31	commentary	commentary	NOUN
ijassa-1381	190	32	d.	d.	PROPN
ijassa-1381	190	33	idf	idf	PROPN
ijassa-1381	190	34	(	(	PUNCT
ijassa-1381	190	35	t	t	PROPN
ijassa-1381	190	36	,	,	PUNCT
ijassa-1381	190	37	d	d	NOUN
ijassa-1381	190	38	)	)	PUNCT
ijassa-1381	190	39	=	=	VERB
ijassa-1381	190	40	log	log	VERB
ijassa-1381	190	41	|d|	|d|	PROPN
ijassa-1381	190	42	1	1	NUM
ijassa-1381	190	43	+	+	CCONJ
ijassa-1381	190	44	|{d	|{d	PROPN
ijassa-1381	190	45	∈	∈	PROPN
ijassa-1381	191	1	d	d	NOUN
ijassa-1381	191	2	:	:	PUNCT
ijassa-1381	191	3	t	t	PROPN
ijassa-1381	191	4	∈	∈	PROPN
ijassa-1381	191	5	d}|	d}|	NOUN
ijassa-1381	191	6	(	(	PUNCT
ijassa-1381	191	7	5.7	5.7	NUM
ijassa-1381	191	8	)	)	PUNCT
ijassa-1381	191	9	where	where	SCONJ
ijassa-1381	191	10	d	d	NOUN
ijassa-1381	191	11	is	be	AUX
ijassa-1381	191	12	infering	infer	VERB
ijassa-1381	191	13	to	to	ADP
ijassa-1381	191	14	our	our	PRON
ijassa-1381	191	15	document	document	NOUN
ijassa-1381	191	16	space	space	NOUN
ijassa-1381	191	17	(	(	PUNCT
ijassa-1381	191	18	training	training	NOUN
ijassa-1381	191	19	dataset	dataset	NOUN
ijassa-1381	191	20	)	)	PUNCT
ijassa-1381	191	21	,	,	PUNCT
ijassa-1381	192	1	d	d	NOUN
ijassa-1381	192	2	=	=	SYM
ijassa-1381	192	3	d1	d1	PROPN
ijassa-1381	192	4	,	,	PUNCT
ijassa-1381	192	5	d2	d2	PROPN
ijassa-1381	192	6	,	,	PUNCT
ijassa-1381	192	7	.	.	PUNCT
ijassa-1381	192	8	.	.	PUNCT
ijassa-1381	192	9	.	.	PUNCT
ijassa-1381	193	1	,	,	PUNCT
ijassa-1381	193	2	dn	dn	PROPN
ijassa-1381	193	3	,	,	PUNCT
ijassa-1381	193	4	n	n	PRON
ijassa-1381	193	5	is	be	AUX
ijassa-1381	193	6	the	the	DET
ijassa-1381	193	7	number	number	NOUN
ijassa-1381	193	8	of	of	ADP
ijassa-1381	193	9	commentaries	commentary	NOUN
ijassa-1381	193	10	in	in	ADP
ijassa-1381	193	11	d	d	PROPN
ijassa-1381	193	12	,	,	PUNCT
ijassa-1381	193	13	|d|	|d|	PROPN
ijassa-1381	193	14	=	=	PUNCT
ijassa-1381	193	15	n.	n.	VERB
ijassa-1381	193	16	the	the	DET
ijassa-1381	193	17	denominator	denominator	NOUN
ijassa-1381	194	1	|{d	|{d	PROPN
ijassa-1381	194	2	∈	∈	PROPN
ijassa-1381	195	1	d	d	X
ijassa-1381	195	2	:	:	PUNCT
ijassa-1381	195	3	t	t	PROPN
ijassa-1381	195	4	∈	∈	PROPN
ijassa-1381	195	5	d}|	d}|	NOUN
ijassa-1381	195	6	represents	represent	VERB
ijassa-1381	195	7	the	the	DET
ijassa-1381	195	8	total	total	ADJ
ijassa-1381	195	9	count	count	NOUN
ijassa-1381	195	10	of	of	ADP
ijassa-1381	195	11	occurrences	occurrence	NOUN
ijassa-1381	195	12	of	of	ADP
ijassa-1381	195	13	the	the	DET
ijassa-1381	195	14	term	term	NOUN
ijassa-1381	195	15	t	t	PROPN
ijassa-1381	195	16	appeared	appear	VERB
ijassa-1381	195	17	in	in	ADP
ijassa-1381	195	18	a	a	DET
ijassa-1381	195	19	commentary	commentary	NOUN
ijassa-1381	195	20	d.	d.	NOUN
ijassa-1381	195	21	the	the	DET
ijassa-1381	195	22	tf	tf	PROPN
ijassa-1381	195	23	−	−	PROPN
ijassa-1381	195	24	idf	idf	PROPN
ijassa-1381	195	25	score	score	NOUN
ijassa-1381	195	26	is	be	AUX
ijassa-1381	195	27	calculated	calculate	VERB
ijassa-1381	195	28	by	by	ADP
ijassa-1381	195	29	multiplying	multiply	VERB
ijassa-1381	195	30	the	the	DET
ijassa-1381	195	31	tf	tf	PROPN
ijassa-1381	195	32	score	score	NOUN
ijassa-1381	195	33	with	with	ADP
ijassa-1381	195	34	the	the	DET
ijassa-1381	195	35	idf	idf	PROPN
ijassa-1381	195	36	score	score	NOUN
ijassa-1381	195	37	:	:	PUNCT
ijassa-1381	195	38	tf	tf	PROPN
ijassa-1381	195	39	−	−	PROPN
ijassa-1381	195	40	idf	idf	PROPN
ijassa-1381	195	41	(	(	PUNCT
ijassa-1381	195	42	t	t	PROPN
ijassa-1381	195	43	,	,	PUNCT
ijassa-1381	195	44	d	d	NOUN
ijassa-1381	195	45	,	,	PUNCT
ijassa-1381	195	46	d	d	NOUN
ijassa-1381	195	47	)	)	PUNCT
ijassa-1381	195	48	=	=	SYM
ijassa-1381	195	49	tf	tf	INTJ
ijassa-1381	195	50	(	(	PUNCT
ijassa-1381	195	51	t	t	PROPN
ijassa-1381	195	52	,	,	PUNCT
ijassa-1381	195	53	d)×	d)×	ADJ
ijassa-1381	195	54	idf	idf	PROPN
ijassa-1381	195	55	(	(	PUNCT
ijassa-1381	195	56	t	t	PROPN
ijassa-1381	195	57	,	,	PUNCT
ijassa-1381	195	58	d	d	NOUN
ijassa-1381	195	59	)	)	PUNCT
ijassa-1381	195	60	(	(	PUNCT
ijassa-1381	195	61	5.8	5.8	NUM
ijassa-1381	195	62	)	)	PUNCT
ijassa-1381	195	63	5.4	5.4	NUM
ijassa-1381	195	64	.	.	PUNCT
ijassa-1381	196	1	opinion	opinion	NOUN
ijassa-1381	196	2	analysis	analysis	NOUN
ijassa-1381	196	3	different	different	ADJ
ijassa-1381	196	4	machine	machine	NOUN
ijassa-1381	196	5	learning	learning	NOUN
ijassa-1381	196	6	models	model	NOUN
ijassa-1381	196	7	including	include	VERB
ijassa-1381	196	8	logistic	logistic	ADJ
ijassa-1381	196	9	regression	regression	NOUN
ijassa-1381	196	10	,	,	PUNCT
ijassa-1381	196	11	gradient	gradient	NOUN
ijassa-1381	196	12	boosting	boosting	NOUN
ijassa-1381	196	13	,	,	PUNCT
ijassa-1381	196	14	extreme	extreme	ADJ
ijassa-1381	196	15	gradient	gradient	NOUN
ijassa-1381	196	16	boosting	boosting	NOUN
ijassa-1381	196	17	(	(	PUNCT
ijassa-1381	196	18	xgb	xgb	NUM
ijassa-1381	196	19	)	)	PUNCT
ijassa-1381	196	20	,	,	PUNCT
ijassa-1381	196	21	bert	bert	NOUN
ijassa-1381	196	22	models	model	NOUN
ijassa-1381	196	23	(	(	PUNCT
ijassa-1381	196	24	transformers	transformer	NOUN
ijassa-1381	196	25	)	)	PUNCT
ijassa-1381	196	26	and	and	CCONJ
ijassa-1381	196	27	active	active	ADJ
ijassa-1381	196	28	learning	learning	NOUN
ijassa-1381	196	29	are	be	AUX
ijassa-1381	196	30	applied	apply	VERB
ijassa-1381	196	31	for	for	ADP
ijassa-1381	196	32	opinion	opinion	NOUN
ijassa-1381	196	33	classification	classification	NOUN
ijassa-1381	196	34	into	into	ADP
ijassa-1381	196	35	positive	positive	ADJ
ijassa-1381	196	36	,	,	PUNCT
ijassa-1381	196	37	neutral	neutral	ADJ
ijassa-1381	196	38	,	,	PUNCT
ijassa-1381	196	39	and	and	CCONJ
ijassa-1381	196	40	negative	negative	ADJ
ijassa-1381	196	41	/	/	SYM
ijassa-1381	196	42	unknown	unknown	ADJ
ijassa-1381	196	43	categories	category	NOUN
ijassa-1381	196	44	.	.	PUNCT
ijassa-1381	197	1	a	a	DET
ijassa-1381	197	2	brief	brief	ADJ
ijassa-1381	197	3	description	description	NOUN
ijassa-1381	197	4	of	of	ADP
ijassa-1381	197	5	each	each	DET
ijassa-1381	197	6	machine	machine	NOUN
ijassa-1381	197	7	learning	learning	NOUN
ijassa-1381	197	8	technique	technique	NOUN
ijassa-1381	197	9	is	be	AUX
ijassa-1381	197	10	provided	provide	VERB
ijassa-1381	197	11	in	in	ADP
ijassa-1381	197	12	the	the	DET
ijassa-1381	197	13	following	follow	VERB
ijassa-1381	197	14	subsections	subsection	NOUN
ijassa-1381	197	15	.	.	PUNCT
ijassa-1381	198	1	5.4.1	5.4.1	X
ijassa-1381	198	2	.	.	PUNCT
ijassa-1381	198	3	logistic	logistic	ADJ
ijassa-1381	198	4	regression	regression	NOUN
ijassa-1381	198	5	machine	machine	NOUN
ijassa-1381	198	6	learning	learning	NOUN
ijassa-1381	198	7	applies	apply	VERB
ijassa-1381	198	8	a	a	DET
ijassa-1381	198	9	logistic	logistic	ADJ
ijassa-1381	198	10	regression	regression	NOUN
ijassa-1381	198	11	classifier	classifier	NOUN
ijassa-1381	198	12	,	,	PUNCT
ijassa-1381	198	13	a	a	DET
ijassa-1381	198	14	statistical	statistical	ADJ
ijassa-1381	198	15	model	model	NOUN
ijassa-1381	198	16	that	that	PRON
ijassa-1381	198	17	establishes	establish	VERB
ijassa-1381	198	18	the	the	DET
ijassa-1381	198	19	relationship	relationship	NOUN
ijassa-1381	198	20	between	between	ADP
ijassa-1381	198	21	independent	independent	ADJ
ijassa-1381	198	22	and	and	CCONJ
ijassa-1381	198	23	dependent	dependent	ADJ
ijassa-1381	198	24	variables	variable	NOUN
ijassa-1381	198	25	[	[	X
ijassa-1381	198	26	27	27	NUM
ijassa-1381	198	27	]	]	PUNCT
ijassa-1381	198	28	.	.	PUNCT
ijassa-1381	199	1	the	the	DET
ijassa-1381	199	2	classifier	classifier	NOUN
ijassa-1381	199	3	uses	use	VERB
ijassa-1381	199	4	a	a	DET
ijassa-1381	199	5	logistical	logistical	ADJ
ijassa-1381	199	6	function	function	NOUN
ijassa-1381	199	7	to	to	PART
ijassa-1381	199	8	determine	determine	VERB
ijassa-1381	199	9	the	the	DET
ijassa-1381	199	10	input	input	NOUN
ijassa-1381	199	11	,	,	PUNCT
ijassa-1381	199	12	set	set	NOUN
ijassa-1381	199	13	of	of	ADP
ijassa-1381	199	14	weighted	weighted	ADJ
ijassa-1381	199	15	functions	function	NOUN
ijassa-1381	199	16	,	,	PUNCT
ijassa-1381	199	17	and	and	CCONJ
ijassa-1381	199	18	the	the	DET
ijassa-1381	199	19	correlation	correlation	NOUN
ijassa-1381	199	20	between	between	ADP
ijassa-1381	199	21	classes	class	NOUN
ijassa-1381	199	22	.	.	PUNCT
ijassa-1381	200	1	proper	proper	ADJ
ijassa-1381	200	2	selection	selection	NOUN
ijassa-1381	200	3	of	of	ADP
ijassa-1381	200	4	features	feature	NOUN
ijassa-1381	200	5	can	can	AUX
ijassa-1381	200	6	improve	improve	VERB
ijassa-1381	200	7	the	the	DET
ijassa-1381	200	8	model	model	NOUN
ijassa-1381	200	9	’s	’s	PART
ijassa-1381	200	10	accuracy	accuracy	NOUN
ijassa-1381	200	11	and	and	CCONJ
ijassa-1381	200	12	generalizability	generalizability	NOUN
ijassa-1381	200	13	.	.	PUNCT
ijassa-1381	201	1	feature	feature	NOUN
ijassa-1381	201	2	vector	vector	NOUN
ijassa-1381	201	3	i	i	PRON
ijassa-1381	201	4	is	be	AUX
ijassa-1381	201	5	classified	classify	VERB
ijassa-1381	201	6	as	as	ADP
ijassa-1381	201	7	positive	positive	ADJ
ijassa-1381	201	8	,	,	PUNCT
ijassa-1381	201	9	neutral	neutral	ADJ
ijassa-1381	201	10	/	/	SYM
ijassa-1381	201	11	unknown	unknown	ADJ
ijassa-1381	201	12	,	,	PUNCT
ijassa-1381	201	13	or	or	CCONJ
ijassa-1381	202	1	negative	negative	ADJ
ijassa-1381	202	2	using	use	VERB
ijassa-1381	202	3	a	a	DET
ijassa-1381	202	4	mathematical	mathematical	ADJ
ijassa-1381	202	5	expression	expression	NOUN
ijassa-1381	202	6	represented	represent	VERB
ijassa-1381	202	7	as	as	ADP
ijassa-1381	202	8	:	:	PUNCT
ijassa-1381	202	9	s(f	s(f	X
ijassa-1381	202	10	=	=	SYM
ijassa-1381	202	11	1|i	1|i	X
ijassa-1381	202	12	)	)	PUNCT
ijassa-1381	202	13	=	=	SYM
ijassa-1381	202	14	l(i	l(i	PROPN
ijassa-1381	202	15	)	)	PUNCT
ijassa-1381	202	16	=	=	SYM
ijassa-1381	202	17	1	1	NUM
ijassa-1381	202	18	1	1	NUM
ijassa-1381	202	19	+	+	CCONJ
ijassa-1381	202	20	hzwi	hzwi	PROPN
ijassa-1381	202	21	(	(	PUNCT
ijassa-1381	202	22	5.9	5.9	NUM
ijassa-1381	202	23	)	)	PUNCT
ijassa-1381	202	24	where	where	SCONJ
ijassa-1381	202	25	,	,	PUNCT
ijassa-1381	202	26	z	z	PROPN
ijassa-1381	202	27	means	mean	VERB
ijassa-1381	202	28	the	the	DET
ijassa-1381	202	29	feature	feature	NOUN
ijassa-1381	202	30	weight	weight	NOUN
ijassa-1381	202	31	,	,	PUNCT
ijassa-1381	202	32	s	s	VERB
ijassa-1381	202	33	is	be	AUX
ijassa-1381	202	34	the	the	DET
ijassa-1381	202	35	probability	probability	NOUN
ijassa-1381	202	36	of	of	ADP
ijassa-1381	202	37	commentary	commentary	NOUN
ijassa-1381	202	38	i	i	PRON
ijassa-1381	202	39	which	which	PRON
ijassa-1381	202	40	belongs	belong	VERB
ijassa-1381	202	41	to	to	ADP
ijassa-1381	202	42	class	class	PROPN
ijassa-1381	202	43	f	f	PROPN
ijassa-1381	202	44	.	.	PUNCT
ijassa-1381	203	1	5.4.2	5.4.2	X
ijassa-1381	203	2	.	.	PUNCT
ijassa-1381	204	1	gradient	gradient	NOUN
ijassa-1381	204	2	boosting	boost	VERB
ijassa-1381	204	3	in	in	ADP
ijassa-1381	204	4	machine	machine	NOUN
ijassa-1381	204	5	learning	learning	NOUN
ijassa-1381	204	6	,	,	PUNCT
ijassa-1381	204	7	the	the	DET
ijassa-1381	204	8	gradient	gradient	NOUN
ijassa-1381	204	9	boosting	boost	VERB
ijassa-1381	204	10	technique	technique	NOUN
ijassa-1381	204	11	involves	involve	VERB
ijassa-1381	204	12	the	the	DET
ijassa-1381	204	13	combination	combination	NOUN
ijassa-1381	204	14	of	of	ADP
ijassa-1381	204	15	numerous	numerous	ADJ
ijassa-1381	204	16	weak	weak	ADJ
ijassa-1381	204	17	models	model	NOUN
ijassa-1381	204	18	to	to	PART
ijassa-1381	204	19	form	form	VERB
ijassa-1381	204	20	a	a	DET
ijassa-1381	204	21	robust	robust	ADJ
ijassa-1381	204	22	predictive	predictive	ADJ
ijassa-1381	204	23	model	model	NOUN
ijassa-1381	204	24	that	that	PRON
ijassa-1381	204	25	is	be	AUX
ijassa-1381	204	26	suitable	suitable	ADJ
ijassa-1381	204	27	for	for	ADP
ijassa-1381	204	28	categorizing	categorize	VERB
ijassa-1381	204	29	extensive	extensive	ADJ
ijassa-1381	204	30	datasets	dataset	NOUN
ijassa-1381	204	31	[	[	X
ijassa-1381	204	32	9	9	NUM
ijassa-1381	204	33	]	]	PUNCT
ijassa-1381	204	34	.	.	PUNCT
ijassa-1381	205	1	this	this	DET
ijassa-1381	205	2	model	model	NOUN
ijassa-1381	205	3	is	be	AUX
ijassa-1381	205	4	capable	capable	ADJ
ijassa-1381	205	5	of	of	ADP
ijassa-1381	205	6	reducing	reduce	VERB
ijassa-1381	205	7	bias	bias	NOUN
ijassa-1381	205	8	error	error	NOUN
ijassa-1381	205	9	,	,	PUNCT
ijassa-1381	205	10	thus	thus	ADV
ijassa-1381	205	11	resulting	result	VERB
ijassa-1381	205	12	in	in	ADP
ijassa-1381	205	13	an	an	DET
ijassa-1381	205	14	accurate	accurate	ADJ
ijassa-1381	205	15	and	and	CCONJ
ijassa-1381	205	16	efficient	efficient	ADJ
ijassa-1381	205	17	prediction	prediction	NOUN
ijassa-1381	205	18	model	model	NOUN
ijassa-1381	205	19	.	.	PUNCT
ijassa-1381	206	1	by	by	ADP
ijassa-1381	206	2	creating	create	VERB
ijassa-1381	206	3	an	an	DET
ijassa-1381	206	4	approximation	approximation	NOUN
ijassa-1381	206	5	ĥ(b	ĥ(b	NOUN
ijassa-1381	206	6	)	)	PUNCT
ijassa-1381	206	7	of	of	ADP
ijassa-1381	206	8	the	the	DET
ijassa-1381	206	9	function	function	NOUN
ijassa-1381	206	10	h∗(b	h∗(b	PROPN
ijassa-1381	206	11	)	)	PUNCT
ijassa-1381	206	12	,	,	PUNCT
ijassa-1381	206	13	the	the	DET
ijassa-1381	206	14	gradient	gradient	NOUN
ijassa-1381	206	15	boosting	boost	VERB
ijassa-1381	206	16	model	model	NOUN
ijassa-1381	206	17	maps	map	VERB
ijassa-1381	206	18	the	the	DET
ijassa-1381	206	19	input	input	NOUN
ijassa-1381	206	20	instances	instance	VERB
ijassa-1381	206	21	b	b	NOUN
ijassa-1381	206	22	to	to	ADP
ijassa-1381	206	23	their	their	PRON
ijassa-1381	206	24	output	output	NOUN
ijassa-1381	206	25	values	value	NOUN
ijassa-1381	206	26	z.	z.	PROPN
ijassa-1381	207	1	this	this	DET
ijassa-1381	207	2	function	function	NOUN
ijassa-1381	207	3	approximation	approximation	NOUN
ijassa-1381	207	4	h∗(b	h∗(b	PROPN
ijassa-1381	207	5	)	)	PUNCT
ijassa-1381	207	6	can	can	AUX
ijassa-1381	207	7	be	be	AUX
ijassa-1381	207	8	expressed	express	VERB
ijassa-1381	207	9	as	as	ADP
ijassa-1381	207	10	a	a	DET
ijassa-1381	207	11	weighted	weighted	ADJ
ijassa-1381	207	12	sum	sum	NOUN
ijassa-1381	207	13	of	of	ADP
ijassa-1381	207	14	functions	function	NOUN
ijassa-1381	207	15	,	,	PUNCT
ijassa-1381	207	16	as	as	SCONJ
ijassa-1381	207	17	shown	show	VERB
ijassa-1381	207	18	by	by	ADP
ijassa-1381	207	19	the	the	DET
ijassa-1381	207	20	mathematical	mathematical	ADJ
ijassa-1381	207	21	expression	expression	NOUN
ijassa-1381	207	22	:	:	PUNCT
ijassa-1381	207	23	hc(b	hc(b	NUM
ijassa-1381	207	24	)	)	PUNCT
ijassa-1381	207	25	=	=	PUNCT
ijassa-1381	208	1	hb−1(b	hb−1(b	ADJ
ijassa-1381	208	2	)	)	PUNCT
ijassa-1381	209	1	+	+	CCONJ
ijassa-1381	209	2	pcqc(b	pcqc(b	PROPN
ijassa-1381	209	3	)	)	PUNCT
ijassa-1381	209	4	(	(	PUNCT
ijassa-1381	209	5	5.10	5.10	NUM
ijassa-1381	209	6	)	)	PUNCT
ijassa-1381	209	7	where	where	SCONJ
ijassa-1381	209	8	,	,	PUNCT
ijassa-1381	209	9	pc	pc	NOUN
ijassa-1381	209	10	means	mean	VERB
ijassa-1381	209	11	the	the	DET
ijassa-1381	209	12	weight	weight	NOUN
ijassa-1381	209	13	of	of	ADP
ijassa-1381	209	14	the	the	DET
ijassa-1381	209	15	c	c	NOUN
ijassa-1381	209	16	-	-	PUNCT
ijassa-1381	209	17	th	th	VERB
ijassa-1381	209	18	function	function	NOUN
ijassa-1381	209	19	qc(b	qc(b	PUNCT
ijassa-1381	209	20	)	)	PUNCT
ijassa-1381	209	21	.	.	PUNCT
ijassa-1381	210	1	5.4.3	5.4.3	X
ijassa-1381	210	2	.	.	PUNCT
ijassa-1381	211	1	extreme	extreme	ADJ
ijassa-1381	211	2	gradient	gradient	NOUN
ijassa-1381	211	3	boosting	boost	VERB
ijassa-1381	211	4	xgb	xgb	NOUN
ijassa-1381	211	5	is	be	AUX
ijassa-1381	211	6	a	a	DET
ijassa-1381	211	7	set	set	NOUN
ijassa-1381	211	8	of	of	ADP
ijassa-1381	211	9	gradient	gradient	NOUN
ijassa-1381	211	10	boosting	boost	VERB
ijassa-1381	211	11	techniques	technique	NOUN
ijassa-1381	211	12	designed	design	VERB
ijassa-1381	211	13	for	for	ADP
ijassa-1381	211	14	current	current	ADJ
ijassa-1381	211	15	data	datum	NOUN
ijassa-1381	211	16	science	science	NOUN
ijassa-1381	211	17	challenges	challenge	NOUN
ijassa-1381	211	18	[	[	X
ijassa-1381	211	19	11	11	NUM
ijassa-1381	211	20	,	,	PUNCT
ijassa-1381	211	21	12	12	NUM
ijassa-1381	211	22	]	]	PUNCT
ijassa-1381	211	23	.	.	PUNCT
ijassa-1381	212	1	it	it	PRON
ijassa-1381	212	2	uses	use	VERB
ijassa-1381	212	3	an	an	DET
ijassa-1381	212	4	ensemble	ensemble	ADJ
ijassa-1381	212	5	model	model	NOUN
ijassa-1381	212	6	of	of	ADP
ijassa-1381	212	7	classification	classification	NOUN
ijassa-1381	212	8	and	and	CCONJ
ijassa-1381	212	9	regression	regression	NOUN
ijassa-1381	212	10	tree	tree	NOUN
ijassa-1381	212	11	sets	set	NOUN
ijassa-1381	212	12	(	(	PUNCT
ijassa-1381	212	13	cart	cart	NOUN
ijassa-1381	212	14	)	)	PUNCT
ijassa-1381	212	15	.	.	PUNCT
ijassa-1381	213	1	xgb	xgb	PROPN
ijassa-1381	213	2	is	be	AUX
ijassa-1381	213	3	known	know	VERB
ijassa-1381	213	4	for	for	ADP
ijassa-1381	213	5	its	its	PRON
ijassa-1381	213	6	high	high	ADJ
ijassa-1381	213	7	scalability	scalability	NOUN
ijassa-1381	213	8	,	,	PUNCT
ijassa-1381	213	9	parallelizability	parallelizability	NOUN
ijassa-1381	213	10	,	,	PUNCT
ijassa-1381	213	11	speed	speed	NOUN
ijassa-1381	213	12	,	,	PUNCT
ijassa-1381	213	13	and	and	CCONJ
ijassa-1381	213	14	regularized	regularize	VERB
ijassa-1381	213	15	approach	approach	NOUN
ijassa-1381	213	16	to	to	PART
ijassa-1381	213	17	control	control	VERB
ijassa-1381	213	18	over	over	ADP
ijassa-1381	213	19	-	-	PUNCT
ijassa-1381	213	20	fitting	fitting	NOUN
ijassa-1381	213	21	.	.	PUNCT
ijassa-1381	214	1	the	the	DET
ijassa-1381	214	2	mathematical	mathematical	ADJ
ijassa-1381	214	3	representation	representation	NOUN
ijassa-1381	214	4	of	of	ADP
ijassa-1381	214	5	the	the	DET
ijassa-1381	214	6	xgb	xgb	PROPN
ijassa-1381	214	7	model	model	NOUN
ijassa-1381	214	8	is	be	AUX
ijassa-1381	214	9	expressed	express	VERB
ijassa-1381	214	10	as	as	ADP
ijassa-1381	214	11	:	:	PUNCT
ijassa-1381	214	12	âl	âl	PROPN
ijassa-1381	214	13	=	=	SYM
ijassa-1381	214	14	p∑	p∑	X
ijassa-1381	214	15	p=1	p=1	NOUN
ijassa-1381	214	16	qp(ml	qp(ml	PROPN
ijassa-1381	214	17	)	)	PUNCT
ijassa-1381	214	18	,	,	PUNCT
ijassa-1381	214	19	qp	qp	ADP
ijassa-1381	214	20	∈	∈	PROPN
ijassa-1381	214	21	q	q	X
ijassa-1381	214	22	(	(	PUNCT
ijassa-1381	214	23	5.11	5.11	NUM
ijassa-1381	214	24	)	)	PUNCT
ijassa-1381	214	25	where	where	SCONJ
ijassa-1381	214	26	qp	qp	VERB
ijassa-1381	214	27	for	for	ADP
ijassa-1381	214	28	the	the	DET
ijassa-1381	214	29	p	p	NOUN
ijassa-1381	214	30	-	-	PUNCT
ijassa-1381	214	31	th	th	VERB
ijassa-1381	214	32	tree	tree	NOUN
ijassa-1381	214	33	denotes	denote	VERB
ijassa-1381	214	34	a	a	DET
ijassa-1381	214	35	function	function	NOUN
ijassa-1381	214	36	in	in	ADP
ijassa-1381	214	37	functional	functional	ADJ
ijassa-1381	214	38	space	space	NOUN
ijassa-1381	214	39	q	q	NOUN
ijassa-1381	214	40	,	,	PUNCT
ijassa-1381	214	41	and	and	CCONJ
ijassa-1381	214	42	p	p	NOUN
ijassa-1381	214	43	represents	represent	VERB
ijassa-1381	214	44	the	the	DET
ijassa-1381	214	45	total	total	ADJ
ijassa-1381	214	46	number	number	NOUN
ijassa-1381	214	47	of	of	ADP
ijassa-1381	214	48	trees	tree	NOUN
ijassa-1381	214	49	.	.	PUNCT
ijassa-1381	215	1	the	the	DET
ijassa-1381	215	2	set	set	NOUN
ijassa-1381	215	3	of	of	ADP
ijassa-1381	215	4	all	all	DET
ijassa-1381	215	5	possible	possible	ADJ
ijassa-1381	215	6	carts	cart	NOUN
ijassa-1381	215	7	is	be	AUX
ijassa-1381	215	8	represented	represent	VERB
ijassa-1381	215	9	by	by	ADP
ijassa-1381	215	10	q.	q.	NOUN
ijassa-1381	215	11	copyright	copyright	NOUN
ijassa-1381	215	12	©	©	PROPN
ijassa-1381	215	13	2023	2023	NUM
ijassa-1381	215	14	assa	assa	NOUN
ijassa-1381	215	15	.	.	PUNCT
ijassa-1381	216	1	adv	adv	PROPN
ijassa-1381	216	2	syst	syst	PROPN
ijassa-1381	216	3	sci	sci	PROPN
ijassa-1381	216	4	appl	appl	PROPN
ijassa-1381	216	5	(	(	PUNCT
ijassa-1381	216	6	2023	2023	NUM
ijassa-1381	216	7	)	)	PUNCT
ijassa-1381	216	8	assa	assa	NOUN
ijassa-1381	216	9	latex	latex	NOUN
ijassa-1381	216	10	template	template	NOUN
ijassa-1381	216	11	119	119	NUM
ijassa-1381	216	12	5.5	5.5	NUM
ijassa-1381	216	13	.	.	PUNCT
ijassa-1381	217	1	bert	bert	NOUN
ijassa-1381	217	2	-	-	PUNCT
ijassa-1381	217	3	based	base	VERB
ijassa-1381	217	4	model	model	NOUN
ijassa-1381	217	5	applying	apply	VERB
ijassa-1381	217	6	an	an	DET
ijassa-1381	217	7	active	active	ADJ
ijassa-1381	217	8	learning	learn	VERB
ijassa-1381	217	9	algorithm	algorithm	NOUN
ijassa-1381	217	10	to	to	ADP
ijassa-1381	217	11	the	the	DET
ijassa-1381	217	12	bert	bert	NOUN
ijassa-1381	217	13	-	-	PUNCT
ijassa-1381	217	14	based	base	VERB
ijassa-1381	217	15	model	model	NOUN
ijassa-1381	217	16	can	can	AUX
ijassa-1381	217	17	increase	increase	VERB
ijassa-1381	217	18	its	its	PRON
ijassa-1381	217	19	accuracy	accuracy	NOUN
ijassa-1381	217	20	for	for	ADP
ijassa-1381	217	21	training	training	NOUN
ijassa-1381	217	22	and	and	CCONJ
ijassa-1381	217	23	testing	testing	NOUN
ijassa-1381	217	24	[	[	X
ijassa-1381	217	25	7	7	NUM
ijassa-1381	217	26	,	,	PUNCT
ijassa-1381	217	27	10	10	NUM
ijassa-1381	217	28	,	,	PUNCT
ijassa-1381	217	29	15	15	NUM
ijassa-1381	217	30	,	,	PUNCT
ijassa-1381	217	31	29	29	NUM
ijassa-1381	217	32	]	]	PUNCT
ijassa-1381	217	33	.	.	PUNCT
ijassa-1381	218	1	by	by	ADP
ijassa-1381	218	2	cyclically	cyclically	ADV
ijassa-1381	218	3	adding	add	VERB
ijassa-1381	218	4	labeled	label	VERB
ijassa-1381	218	5	data	datum	NOUN
ijassa-1381	218	6	to	to	ADP
ijassa-1381	218	7	the	the	DET
ijassa-1381	218	8	training	training	NOUN
ijassa-1381	218	9	dataset	dataset	NOUN
ijassa-1381	218	10	,	,	PUNCT
ijassa-1381	218	11	the	the	DET
ijassa-1381	218	12	active	active	ADJ
ijassa-1381	218	13	learning	learning	NOUN
ijassa-1381	218	14	algorithm	algorithm	NOUN
ijassa-1381	218	15	can	can	AUX
ijassa-1381	218	16	improve	improve	VERB
ijassa-1381	218	17	the	the	DET
ijassa-1381	218	18	model	model	NOUN
ijassa-1381	218	19	’s	’s	PART
ijassa-1381	218	20	predictive	predictive	ADJ
ijassa-1381	218	21	accuracy	accuracy	NOUN
ijassa-1381	218	22	beyond	beyond	ADP
ijassa-1381	218	23	that	that	PRON
ijassa-1381	218	24	of	of	ADP
ijassa-1381	218	25	a	a	DET
ijassa-1381	218	26	single	single	ADJ
ijassa-1381	218	27	bert	bert	NOUN
ijassa-1381	218	28	-	-	PUNCT
ijassa-1381	218	29	based	base	VERB
ijassa-1381	218	30	model	model	NOUN
ijassa-1381	218	31	.	.	PUNCT
ijassa-1381	219	1	fig	fig	NOUN
ijassa-1381	219	2	.	.	PUNCT
ijassa-1381	220	1	5.10	5.10	NUM
ijassa-1381	220	2	.	.	PUNCT
ijassa-1381	221	1	bert	bert	NOUN
ijassa-1381	221	2	-	-	PUNCT
ijassa-1381	221	3	based	base	VERB
ijassa-1381	221	4	model	model	NOUN
ijassa-1381	221	5	with	with	ADP
ijassa-1381	221	6	active	active	ADJ
ijassa-1381	221	7	learning	learning	NOUN
ijassa-1381	221	8	cycle	cycle	NOUN
ijassa-1381	221	9	.	.	PUNCT
ijassa-1381	222	1	figure	figure	VERB
ijassa-1381	222	2	5.10	5.10	NUM
ijassa-1381	222	3	shows	show	VERB
ijassa-1381	222	4	a	a	DET
ijassa-1381	222	5	block	block	NOUN
ijassa-1381	222	6	diagram	diagram	NOUN
ijassa-1381	222	7	of	of	ADP
ijassa-1381	222	8	the	the	DET
ijassa-1381	222	9	bert	bert	NOUN
ijassa-1381	222	10	-	-	PUNCT
ijassa-1381	222	11	based	base	VERB
ijassa-1381	222	12	model	model	NOUN
ijassa-1381	222	13	with	with	ADP
ijassa-1381	222	14	active	active	ADJ
ijassa-1381	222	15	learning	learning	NOUN
ijassa-1381	222	16	.	.	PUNCT
ijassa-1381	223	1	the	the	DET
ijassa-1381	223	2	active	active	ADJ
ijassa-1381	223	3	learning	learn	VERB
ijassa-1381	223	4	cycle	cycle	NOUN
ijassa-1381	223	5	includes	include	VERB
ijassa-1381	223	6	the	the	DET
ijassa-1381	223	7	pre	pre	ADJ
ijassa-1381	223	8	-	-	ADJ
ijassa-1381	223	9	training	training	ADJ
ijassa-1381	223	10	phase	phase	NOUN
ijassa-1381	223	11	and	and	CCONJ
ijassa-1381	223	12	the	the	DET
ijassa-1381	223	13	cycle	cycle	NOUN
ijassa-1381	223	14	phase	phase	NOUN
ijassa-1381	223	15	.	.	PUNCT
ijassa-1381	224	1	in	in	ADP
ijassa-1381	224	2	the	the	DET
ijassa-1381	224	3	pre	pre	ADJ
ijassa-1381	224	4	-	-	ADJ
ijassa-1381	224	5	training	training	ADJ
ijassa-1381	224	6	phase	phase	NOUN
ijassa-1381	224	7	,	,	PUNCT
ijassa-1381	224	8	the	the	DET
ijassa-1381	224	9	model	model	NOUN
ijassa-1381	224	10	is	be	AUX
ijassa-1381	224	11	trained	train	VERB
ijassa-1381	224	12	on	on	ADP
ijassa-1381	224	13	a	a	DET
ijassa-1381	224	14	corpus	corpus	NOUN
ijassa-1381	224	15	of	of	ADP
ijassa-1381	224	16	data	datum	NOUN
ijassa-1381	224	17	with	with	ADP
ijassa-1381	224	18	the	the	DET
ijassa-1381	224	19	original	original	ADJ
ijassa-1381	224	20	labeling	labeling	NOUN
ijassa-1381	224	21	.	.	PUNCT
ijassa-1381	225	1	then	then	ADV
ijassa-1381	225	2	,	,	PUNCT
ijassa-1381	225	3	in	in	ADP
ijassa-1381	225	4	the	the	DET
ijassa-1381	225	5	cycle	cycle	NOUN
ijassa-1381	225	6	phase	phase	NOUN
ijassa-1381	225	7	,	,	PUNCT
ijassa-1381	225	8	additional	additional	ADJ
ijassa-1381	225	9	data	datum	NOUN
ijassa-1381	225	10	is	be	AUX
ijassa-1381	225	11	labeled	label	VERB
ijassa-1381	225	12	and	and	CCONJ
ijassa-1381	225	13	added	add	VERB
ijassa-1381	225	14	to	to	ADP
ijassa-1381	225	15	the	the	DET
ijassa-1381	225	16	training	training	NOUN
ijassa-1381	225	17	dataset	dataset	NOUN
ijassa-1381	225	18	.	.	PUNCT
ijassa-1381	226	1	to	to	PART
ijassa-1381	226	2	create	create	VERB
ijassa-1381	226	3	the	the	DET
ijassa-1381	226	4	bert	bert	NOUN
ijassa-1381	226	5	-	-	PUNCT
ijassa-1381	226	6	based	base	VERB
ijassa-1381	226	7	model	model	NOUN
ijassa-1381	226	8	,	,	PUNCT
ijassa-1381	226	9	a	a	DET
ijassa-1381	226	10	range	range	NOUN
ijassa-1381	226	11	of	of	ADP
ijassa-1381	226	12	machine	machine	NOUN
ijassa-1381	226	13	learning	learn	VERB
ijassa-1381	226	14	algorithms	algorithm	NOUN
ijassa-1381	226	15	were	be	AUX
ijassa-1381	226	16	evaluated	evaluate	VERB
ijassa-1381	226	17	,	,	PUNCT
ijassa-1381	226	18	including	include	VERB
ijassa-1381	226	19	logistic	logistic	ADJ
ijassa-1381	226	20	regression	regression	NOUN
ijassa-1381	226	21	,	,	PUNCT
ijassa-1381	226	22	gradient	gradient	NOUN
ijassa-1381	226	23	boosting	boosting	NOUN
ijassa-1381	226	24	,	,	PUNCT
ijassa-1381	226	25	extreme	extreme	ADJ
ijassa-1381	226	26	gradient	gradient	NOUN
ijassa-1381	226	27	boosting	boosting	NOUN
ijassa-1381	226	28	,	,	PUNCT
ijassa-1381	226	29	and	and	CCONJ
ijassa-1381	226	30	multiple	multiple	ADJ
ijassa-1381	226	31	bert	bert	NOUN
ijassa-1381	226	32	models	model	NOUN
ijassa-1381	226	33	,	,	PUNCT
ijassa-1381	226	34	such	such	ADJ
ijassa-1381	226	35	as	as	ADP
ijassa-1381	226	36	xlm	xlm	PROPN
ijassa-1381	226	37	roberta	roberta	PROPN
ijassa-1381	226	38	large	large	PROPN
ijassa-1381	226	39	,	,	PUNCT
ijassa-1381	226	40	roberta	roberta	PROPN
ijassa-1381	226	41	,	,	PUNCT
ijassa-1381	226	42	ruroberta	ruroberta	NOUN
ijassa-1381	226	43	,	,	PUNCT
ijassa-1381	226	44	bert	bert	PROPN
ijassa-1381	226	45	large	large	ADJ
ijassa-1381	226	46	uncased	uncased	ADJ
ijassa-1381	226	47	,	,	PUNCT
ijassa-1381	226	48	rubert	rubert	ADJ
ijassa-1381	226	49	,	,	PUNCT
ijassa-1381	226	50	gpt	gpt	NOUN
ijassa-1381	226	51	(	(	PUNCT
ijassa-1381	226	52	generative	generative	ADJ
ijassa-1381	226	53	pre	pre	ADJ
ijassa-1381	226	54	-	-	ADJ
ijassa-1381	226	55	trained	train	VERB
ijassa-1381	226	56	transformer	transformer	NOUN
ijassa-1381	226	57	)	)	PUNCT
ijassa-1381	226	58	,	,	PUNCT
ijassa-1381	226	59	and	and	CCONJ
ijassa-1381	226	60	distillbert	distillbert	X
ijassa-1381	226	61	(	(	PUNCT
ijassa-1381	226	62	distilled	distil	VERB
ijassa-1381	226	63	bidirectional	bidirectional	ADJ
ijassa-1381	226	64	encoder	encoder	NOUN
ijassa-1381	226	65	representations	representation	VERB
ijassa-1381	226	66	from	from	ADP
ijassa-1381	226	67	transformers	transformer	NOUN
ijassa-1381	226	68	)	)	PUNCT
ijassa-1381	227	1	[	[	X
ijassa-1381	227	2	25	25	NUM
ijassa-1381	227	3	,	,	PUNCT
ijassa-1381	227	4	35	35	NUM
ijassa-1381	227	5	]	]	PUNCT
ijassa-1381	227	6	.	.	PUNCT
ijassa-1381	228	1	xlm	xlm	PROPN
ijassa-1381	228	2	-	-	PUNCT
ijassa-1381	228	3	roberta	roberta	PROPN
ijassa-1381	228	4	stands	stand	VERB
ijassa-1381	228	5	for	for	ADP
ijassa-1381	228	6	”	"	PUNCT
ijassa-1381	228	7	cross	cross	ADJ
ijassa-1381	228	8	-	-	ADJ
ijassa-1381	228	9	lingual	lingual	ADJ
ijassa-1381	228	10	language	language	NOUN
ijassa-1381	228	11	model	model	NOUN
ijassa-1381	228	12	robustly	robustly	ADV
ijassa-1381	228	13	optimized	optimize	VERB
ijassa-1381	228	14	bert	bert	NOUN
ijassa-1381	228	15	pretraining	pretraine	VERB
ijassa-1381	228	16	approach	approach	NOUN
ijassa-1381	228	17	,	,	PUNCT
ijassa-1381	228	18	”	"	PUNCT
ijassa-1381	228	19	combining	combine	VERB
ijassa-1381	228	20	multilingual	multilingual	ADJ
ijassa-1381	228	21	capabilities	capability	NOUN
ijassa-1381	228	22	with	with	ADP
ijassa-1381	228	23	optimized	optimize	VERB
ijassa-1381	228	24	pretraining	pretraine	VERB
ijassa-1381	228	25	for	for	ADP
ijassa-1381	228	26	robust	robust	ADJ
ijassa-1381	228	27	performance	performance	NOUN
ijassa-1381	228	28	.	.	PUNCT
ijassa-1381	229	1	the	the	DET
ijassa-1381	229	2	”	"	PUNCT
ijassa-1381	229	3	ru	ru	NOUN
ijassa-1381	229	4	”	"	PUNCT
ijassa-1381	229	5	prefix	prefix	NOUN
ijassa-1381	229	6	indicates	indicate	VERB
ijassa-1381	229	7	that	that	SCONJ
ijassa-1381	229	8	the	the	DET
ijassa-1381	229	9	model	model	NOUN
ijassa-1381	229	10	has	have	AUX
ijassa-1381	229	11	been	be	AUX
ijassa-1381	229	12	trained	train	VERB
ijassa-1381	229	13	on	on	ADP
ijassa-1381	229	14	a	a	DET
ijassa-1381	229	15	russian	russian	ADJ
ijassa-1381	229	16	-	-	PUNCT
ijassa-1381	229	17	language	language	NOUN
ijassa-1381	229	18	data	datum	NOUN
ijassa-1381	229	19	corpus	corpus	NOUN
ijassa-1381	229	20	.	.	PUNCT
ijassa-1381	230	1	the	the	DET
ijassa-1381	230	2	bert	bert	NOUN
ijassa-1381	230	3	-	-	PUNCT
ijassa-1381	230	4	based	base	VERB
ijassa-1381	230	5	model	model	NOUN
ijassa-1381	230	6	constructed	construct	VERB
ijassa-1381	230	7	using	use	VERB
ijassa-1381	230	8	xlm	xlm	PROPN
ijassa-1381	230	9	roberta	roberta	PROPN
ijassa-1381	230	10	large	large	ADJ
ijassa-1381	230	11	and	and	CCONJ
ijassa-1381	230	12	active	active	ADJ
ijassa-1381	230	13	learning	learning	NOUN
ijassa-1381	230	14	is	be	AUX
ijassa-1381	230	15	shown	show	VERB
ijassa-1381	230	16	in	in	ADP
ijassa-1381	230	17	figure	figure	NOUN
ijassa-1381	230	18	5.10	5.10	NUM
ijassa-1381	230	19	[	[	X
ijassa-1381	230	20	36,39	36,39	ADJ
ijassa-1381	230	21	]	]	PUNCT
ijassa-1381	230	22	.	.	PUNCT
ijassa-1381	231	1	the	the	DET
ijassa-1381	231	2	bert	bert	NOUN
ijassa-1381	231	3	-	-	PUNCT
ijassa-1381	231	4	based	base	VERB
ijassa-1381	231	5	model	model	NOUN
ijassa-1381	231	6	operates	operate	VERB
ijassa-1381	231	7	as	as	SCONJ
ijassa-1381	231	8	follows	follow	VERB
ijassa-1381	231	9	:	:	PUNCT
ijassa-1381	231	10	1	1	X
ijassa-1381	231	11	.	.	PUNCT
ijassa-1381	232	1	the	the	DET
ijassa-1381	232	2	dataset	dataset	NOUN
ijassa-1381	232	3	is	be	AUX
ijassa-1381	232	4	split	split	VERB
ijassa-1381	232	5	into	into	ADP
ijassa-1381	232	6	three	three	NUM
ijassa-1381	232	7	sets	set	NOUN
ijassa-1381	232	8	:	:	PUNCT
ijassa-1381	232	9	training	training	NOUN
ijassa-1381	232	10	,	,	PUNCT
ijassa-1381	232	11	validation	validation	NOUN
ijassa-1381	232	12	,	,	PUNCT
ijassa-1381	232	13	and	and	CCONJ
ijassa-1381	232	14	testing	testing	NOUN
ijassa-1381	232	15	.	.	PUNCT
ijassa-1381	233	1	2	2	X
ijassa-1381	233	2	.	.	X
ijassa-1381	233	3	the	the	DET
ijassa-1381	233	4	bert	bert	NOUN
ijassa-1381	233	5	-	-	PUNCT
ijassa-1381	233	6	based	base	VERB
ijassa-1381	233	7	model	model	NOUN
ijassa-1381	233	8	is	be	AUX
ijassa-1381	233	9	trained	train	VERB
ijassa-1381	233	10	on	on	ADP
ijassa-1381	233	11	the	the	DET
ijassa-1381	233	12	trainset	trainset	NOUN
ijassa-1381	233	13	and	and	CCONJ
ijassa-1381	233	14	validated	validate	VERB
ijassa-1381	233	15	on	on	ADP
ijassa-1381	233	16	the	the	DET
ijassa-1381	233	17	validation	validation	NOUN
ijassa-1381	233	18	set	set	NOUN
ijassa-1381	233	19	.	.	PUNCT
ijassa-1381	234	1	3	3	X
ijassa-1381	234	2	.	.	X
ijassa-1381	234	3	the	the	DET
ijassa-1381	234	4	accuracy	accuracy	NOUN
ijassa-1381	234	5	of	of	ADP
ijassa-1381	234	6	the	the	DET
ijassa-1381	234	7	model	model	NOUN
ijassa-1381	234	8	is	be	AUX
ijassa-1381	234	9	evaluated	evaluate	VERB
ijassa-1381	234	10	on	on	ADP
ijassa-1381	234	11	the	the	DET
ijassa-1381	234	12	testing	testing	NOUN
ijassa-1381	234	13	dataset	dataset	NOUN
ijassa-1381	234	14	.	.	PUNCT
ijassa-1381	235	1	4	4	X
ijassa-1381	235	2	.	.	X
ijassa-1381	235	3	the	the	DET
ijassa-1381	235	4	resulting	result	VERB
ijassa-1381	235	5	data	datum	NOUN
ijassa-1381	235	6	labelled	label	VERB
ijassa-1381	235	7	by	by	ADP
ijassa-1381	235	8	the	the	DET
ijassa-1381	235	9	active	active	ADJ
ijassa-1381	235	10	learning	learning	NOUN
ijassa-1381	235	11	algorithm	algorithm	NOUN
ijassa-1381	235	12	is	be	AUX
ijassa-1381	235	13	added	add	VERB
ijassa-1381	235	14	to	to	ADP
ijassa-1381	235	15	the	the	DET
ijassa-1381	235	16	trainset	trainset	NOUN
ijassa-1381	235	17	.	.	PUNCT
ijassa-1381	236	1	5	5	X
ijassa-1381	236	2	.	.	NUM
ijassa-1381	236	3	steps	step	NOUN
ijassa-1381	236	4	1–4	1–4	PROPN
ijassa-1381	236	5	are	be	AUX
ijassa-1381	236	6	repeated	repeat	VERB
ijassa-1381	236	7	until	until	SCONJ
ijassa-1381	236	8	the	the	DET
ijassa-1381	236	9	accuracy	accuracy	NOUN
ijassa-1381	236	10	stabilizes	stabilize	VERB
ijassa-1381	236	11	.	.	PUNCT
ijassa-1381	237	1	copyright	copyright	NOUN
ijassa-1381	237	2	©	©	PROPN
ijassa-1381	237	3	2023	2023	NUM
ijassa-1381	237	4	assa	assa	NOUN
ijassa-1381	237	5	.	.	PUNCT
ijassa-1381	238	1	adv	adv	PROPN
ijassa-1381	238	2	syst	syst	PROPN
ijassa-1381	238	3	sci	sci	PROPN
ijassa-1381	238	4	appl	appl	PROPN
ijassa-1381	238	5	(	(	PUNCT
ijassa-1381	238	6	2023	2023	NUM
ijassa-1381	238	7	)	)	PUNCT
ijassa-1381	238	8	120	120	NUM
ijassa-1381	238	9	d.	d.	PROPN
ijassa-1381	238	10	gubanov	gubanov	PROPN
ijassa-1381	238	11	,	,	PUNCT
ijassa-1381	238	12	a.	a.	NOUN
ijassa-1381	238	13	chkhartishvili	chkhartishvili	NOUN
ijassa-1381	238	14	,	,	PUNCT
ijassa-1381	238	15	v.	v.	CCONJ
ijassa-1381	238	16	melnichuk	melnichuk	PROPN
ijassa-1381	238	17	,	,	PUNCT
ijassa-1381	238	18	v.	v.	ADP
ijassa-1381	238	19	sych	sych	PROPN
ijassa-1381	238	20	6	6	NUM
ijassa-1381	238	21	.	.	PUNCT
ijassa-1381	239	1	the	the	DET
ijassa-1381	239	2	final	final	ADJ
ijassa-1381	239	3	accuracy	accuracy	NOUN
ijassa-1381	239	4	measurement	measurement	NOUN
ijassa-1381	239	5	is	be	AUX
ijassa-1381	239	6	taken	take	VERB
ijassa-1381	239	7	on	on	ADP
ijassa-1381	239	8	the	the	DET
ijassa-1381	239	9	testing	testing	NOUN
ijassa-1381	239	10	dataset	dataset	NOUN
ijassa-1381	239	11	.	.	PUNCT
ijassa-1381	240	1	7	7	X
ijassa-1381	240	2	.	.	NOUN
ijassa-1381	240	3	2.2	2.2	NUM
ijassa-1381	240	4	million	million	NUM
ijassa-1381	240	5	commentaries	commentary	NOUN
ijassa-1381	240	6	are	be	AUX
ijassa-1381	240	7	labeled	label	VERB
ijassa-1381	240	8	by	by	ADP
ijassa-1381	240	9	the	the	DET
ijassa-1381	240	10	trained	train	VERB
ijassa-1381	240	11	model	model	NOUN
ijassa-1381	240	12	.	.	PUNCT
ijassa-1381	241	1	fig	fig	NOUN
ijassa-1381	241	2	.	.	PUNCT
ijassa-1381	242	1	5.11	5.11	NUM
ijassa-1381	242	2	.	.	PUNCT
ijassa-1381	243	1	second	second	ADJ
ijassa-1381	243	2	active	active	ADJ
ijassa-1381	243	3	learning	learn	VERB
ijassa-1381	243	4	cycle	cycle	NOUN
ijassa-1381	243	5	6	6	NUM
ijassa-1381	243	6	.	.	PUNCT
ijassa-1381	244	1	bert	bert	NOUN
ijassa-1381	244	2	-	-	PUNCT
ijassa-1381	244	3	based	base	VERB
ijassa-1381	244	4	classification	classification	NOUN
ijassa-1381	244	5	algorithm	algorithm	NOUN
ijassa-1381	244	6	with	with	ADP
ijassa-1381	244	7	active	active	ADJ
ijassa-1381	244	8	learning	learning	NOUN
ijassa-1381	244	9	algorithm	algorithm	NOUN
ijassa-1381	244	10	1	1	NUM
ijassa-1381	244	11	.	.	PUNCT
ijassa-1381	245	1	active	active	ADJ
ijassa-1381	245	2	learning	learn	VERB
ijassa-1381	245	3	a	a	DET
ijassa-1381	245	4	concept	concept	NOUN
ijassa-1381	245	5	of	of	ADP
ijassa-1381	245	6	active	active	ADJ
ijassa-1381	245	7	learning	learning	NOUN
ijassa-1381	245	8	algorithm	algorithm	NOUN
ijassa-1381	245	9	was	be	AUX
ijassa-1381	245	10	implemented	implement	VERB
ijassa-1381	245	11	without	without	ADP
ijassa-1381	245	12	a	a	DET
ijassa-1381	245	13	specific	specific	ADJ
ijassa-1381	245	14	template	template	NOUN
ijassa-1381	245	15	[	[	X
ijassa-1381	245	16	38	38	NUM
ijassa-1381	245	17	]	]	PUNCT
ijassa-1381	245	18	.	.	PUNCT
ijassa-1381	246	1	the	the	DET
ijassa-1381	246	2	algorithm	algorithm	NOUN
ijassa-1381	246	3	consists	consist	VERB
ijassa-1381	246	4	of	of	ADP
ijassa-1381	246	5	two	two	NUM
ijassa-1381	246	6	parts	part	NOUN
ijassa-1381	246	7	:	:	PUNCT
ijassa-1381	246	8	pretrain	pretrain	NOUN
ijassa-1381	246	9	and	and	CCONJ
ijassa-1381	246	10	cycle	cycle	NOUN
ijassa-1381	246	11	.	.	PUNCT
ijassa-1381	247	1	in	in	ADP
ijassa-1381	247	2	the	the	DET
ijassa-1381	247	3	pretrain	pretrain	NOUN
ijassa-1381	247	4	part	part	NOUN
ijassa-1381	247	5	,	,	PUNCT
ijassa-1381	247	6	the	the	DET
ijassa-1381	247	7	model	model	NOUN
ijassa-1381	247	8	is	be	AUX
ijassa-1381	247	9	trained	train	VERB
ijassa-1381	247	10	on	on	ADP
ijassa-1381	247	11	a	a	DET
ijassa-1381	247	12	corpus	corpus	NOUN
ijassa-1381	247	13	of	of	ADP
ijassa-1381	247	14	data	datum	NOUN
ijassa-1381	247	15	with	with	ADP
ijassa-1381	247	16	initial	initial	ADJ
ijassa-1381	247	17	labeling	labeling	NOUN
ijassa-1381	247	18	.	.	PUNCT
ijassa-1381	248	1	the	the	DET
ijassa-1381	248	2	corpus	corpus	NOUN
ijassa-1381	248	3	in	in	ADP
ijassa-1381	248	4	this	this	DET
ijassa-1381	248	5	task	task	NOUN
ijassa-1381	248	6	consists	consist	VERB
ijassa-1381	248	7	of	of	ADP
ijassa-1381	248	8	7	7	NUM
ijassa-1381	248	9	000	000	NUM
ijassa-1381	248	10	instances	instance	NOUN
ijassa-1381	248	11	,	,	PUNCT
ijassa-1381	248	12	with	with	ADP
ijassa-1381	248	13	5	5	NUM
ijassa-1381	248	14	670	670	NUM
ijassa-1381	248	15	for	for	ADP
ijassa-1381	248	16	training	training	NOUN
ijassa-1381	248	17	,	,	PUNCT
ijassa-1381	248	18	630	630	NUM
ijassa-1381	248	19	for	for	ADP
ijassa-1381	248	20	validation	validation	NOUN
ijassa-1381	248	21	,	,	PUNCT
ijassa-1381	248	22	and	and	CCONJ
ijassa-1381	248	23	700	700	NUM
ijassa-1381	248	24	for	for	ADP
ijassa-1381	248	25	testing	testing	NOUN
ijassa-1381	248	26	.	.	PUNCT
ijassa-1381	249	1	pretrain	pretrain	NOUN
ijassa-1381	249	2	can	can	AUX
ijassa-1381	249	3	be	be	AUX
ijassa-1381	249	4	considered	consider	VERB
ijassa-1381	249	5	as	as	ADP
ijassa-1381	249	6	a	a	DET
ijassa-1381	249	7	well	well	ADV
ijassa-1381	249	8	-	-	PUNCT
ijassa-1381	249	9	trained	train	VERB
ijassa-1381	249	10	version	version	NOUN
ijassa-1381	249	11	of	of	ADP
ijassa-1381	249	12	the	the	DET
ijassa-1381	249	13	model	model	NOUN
ijassa-1381	249	14	for	for	ADP
ijassa-1381	249	15	use	use	NOUN
ijassa-1381	249	16	in	in	ADP
ijassa-1381	249	17	reference	reference	NOUN
ijassa-1381	249	18	labeling	labeling	NOUN
ijassa-1381	249	19	.	.	PUNCT
ijassa-1381	250	1	next	next	ADV
ijassa-1381	250	2	,	,	PUNCT
ijassa-1381	250	3	the	the	DET
ijassa-1381	250	4	cycle	cycle	NOUN
ijassa-1381	250	5	part	part	NOUN
ijassa-1381	250	6	involves	involve	VERB
ijassa-1381	250	7	repeating	repeat	VERB
ijassa-1381	250	8	a	a	DET
ijassa-1381	250	9	set	set	NOUN
ijassa-1381	250	10	of	of	ADP
ijassa-1381	250	11	specific	specific	ADJ
ijassa-1381	250	12	actions	action	NOUN
ijassa-1381	250	13	.	.	PUNCT
ijassa-1381	251	1	an	an	DET
ijassa-1381	251	2	unlabeled	unlabele	VERB
ijassa-1381	251	3	corpus	corpus	NOUN
ijassa-1381	251	4	of	of	ADP
ijassa-1381	251	5	commentaries	commentary	NOUN
ijassa-1381	251	6	is	be	AUX
ijassa-1381	251	7	taken	take	VERB
ijassa-1381	251	8	,	,	PUNCT
ijassa-1381	251	9	which	which	PRON
ijassa-1381	251	10	in	in	ADP
ijassa-1381	251	11	this	this	DET
ijassa-1381	251	12	case	case	NOUN
ijassa-1381	251	13	is	be	AUX
ijassa-1381	251	14	63	63	NUM
ijassa-1381	251	15	000	000	NUM
ijassa-1381	251	16	instances	instance	NOUN
ijassa-1381	251	17	,	,	PUNCT
ijassa-1381	251	18	and	and	CCONJ
ijassa-1381	251	19	labeled	label	VERB
ijassa-1381	251	20	with	with	ADP
ijassa-1381	251	21	the	the	DET
ijassa-1381	251	22	model	model	NOUN
ijassa-1381	251	23	trained	train	VERB
ijassa-1381	251	24	in	in	ADP
ijassa-1381	251	25	the	the	DET
ijassa-1381	251	26	pretrain	pretrain	NOUN
ijassa-1381	251	27	part	part	NOUN
ijassa-1381	251	28	(	(	PUNCT
ijassa-1381	251	29	or	or	CCONJ
ijassa-1381	251	30	in	in	ADP
ijassa-1381	251	31	the	the	DET
ijassa-1381	251	32	previous	previous	ADJ
ijassa-1381	251	33	step	step	NOUN
ijassa-1381	251	34	of	of	ADP
ijassa-1381	251	35	the	the	DET
ijassa-1381	251	36	cycle	cycle	NOUN
ijassa-1381	251	37	part	part	NOUN
ijassa-1381	251	38	)	)	PUNCT
ijassa-1381	251	39	.	.	PUNCT
ijassa-1381	252	1	then	then	ADV
ijassa-1381	252	2	the	the	DET
ijassa-1381	252	3	recognition	recognition	NOUN
ijassa-1381	252	4	accuracy	accuracy	NOUN
ijassa-1381	252	5	of	of	ADP
ijassa-1381	252	6	each	each	DET
ijassa-1381	252	7	class	class	NOUN
ijassa-1381	252	8	is	be	AUX
ijassa-1381	252	9	calculated	calculate	VERB
ijassa-1381	252	10	from	from	ADP
ijassa-1381	252	11	the	the	DET
ijassa-1381	252	12	test	test	NOUN
ijassa-1381	252	13	corpus	corpus	NOUN
ijassa-1381	252	14	(	(	PUNCT
ijassa-1381	252	15	700	700	NUM
ijassa-1381	252	16	instances	instance	NOUN
ijassa-1381	252	17	)	)	PUNCT
ijassa-1381	252	18	,	,	PUNCT
ijassa-1381	252	19	and	and	CCONJ
ijassa-1381	252	20	the	the	DET
ijassa-1381	252	21	class	class	NOUN
ijassa-1381	252	22	with	with	ADP
ijassa-1381	252	23	the	the	DET
ijassa-1381	252	24	lowest	low	ADJ
ijassa-1381	252	25	recognition	recognition	NOUN
ijassa-1381	252	26	accuracy	accuracy	NOUN
ijassa-1381	252	27	is	be	AUX
ijassa-1381	252	28	selected	select	VERB
ijassa-1381	252	29	.	.	PUNCT
ijassa-1381	253	1	the	the	DET
ijassa-1381	253	2	reason	reason	NOUN
ijassa-1381	253	3	for	for	ADP
ijassa-1381	253	4	this	this	PRON
ijassa-1381	253	5	is	be	AUX
ijassa-1381	253	6	our	our	PRON
ijassa-1381	253	7	objective	objective	NOUN
ijassa-1381	253	8	to	to	PART
ijassa-1381	253	9	achieve	achieve	VERB
ijassa-1381	253	10	average	average	ADJ
ijassa-1381	253	11	accuracy	accuracy	NOUN
ijassa-1381	253	12	over	over	ADP
ijassa-1381	253	13	all	all	DET
ijassa-1381	253	14	classes	class	NOUN
ijassa-1381	253	15	rather	rather	ADV
ijassa-1381	253	16	than	than	ADP
ijassa-1381	253	17	focusing	focus	VERB
ijassa-1381	253	18	on	on	ADP
ijassa-1381	253	19	accurate	accurate	ADJ
ijassa-1381	253	20	prediction	prediction	NOUN
ijassa-1381	253	21	of	of	ADP
ijassa-1381	253	22	a	a	DET
ijassa-1381	253	23	single	single	ADJ
ijassa-1381	253	24	class	class	NOUN
ijassa-1381	253	25	[	[	X
ijassa-1381	253	26	38	38	NUM
ijassa-1381	253	27	]	]	PUNCT
ijassa-1381	253	28	.	.	PUNCT
ijassa-1381	254	1	various	various	ADJ
ijassa-1381	254	2	methods	method	NOUN
ijassa-1381	254	3	of	of	ADP
ijassa-1381	254	4	adding	add	VERB
ijassa-1381	254	5	instances	instance	NOUN
ijassa-1381	254	6	to	to	ADP
ijassa-1381	254	7	the	the	DET
ijassa-1381	254	8	training	training	NOUN
ijassa-1381	254	9	corpus	corpus	NOUN
ijassa-1381	254	10	are	be	AUX
ijassa-1381	254	11	available	available	ADJ
ijassa-1381	254	12	,	,	PUNCT
ijassa-1381	254	13	such	such	ADJ
ijassa-1381	254	14	as	as	ADP
ijassa-1381	254	15	fixed	fix	VERB
ijassa-1381	254	16	selection	selection	NOUN
ijassa-1381	254	17	,	,	PUNCT
ijassa-1381	254	18	percentage	percentage	NOUN
ijassa-1381	254	19	selection	selection	NOUN
ijassa-1381	254	20	,	,	PUNCT
ijassa-1381	254	21	taking	take	VERB
ijassa-1381	254	22	a	a	DET
ijassa-1381	254	23	percentage	percentage	NOUN
ijassa-1381	254	24	of	of	ADP
ijassa-1381	254	25	the	the	DET
ijassa-1381	254	26	current	current	ADJ
ijassa-1381	254	27	selection	selection	NOUN
ijassa-1381	254	28	volume	volume	NOUN
ijassa-1381	254	29	,	,	PUNCT
ijassa-1381	254	30	and	and	CCONJ
ijassa-1381	254	31	percentage	percentage	NOUN
ijassa-1381	254	32	selection	selection	NOUN
ijassa-1381	254	33	with	with	ADP
ijassa-1381	254	34	accuracy	accuracy	NOUN
ijassa-1381	254	35	(	(	PUNCT
ijassa-1381	254	36	taking	take	VERB
ijassa-1381	254	37	only	only	ADV
ijassa-1381	254	38	those	those	DET
ijassa-1381	254	39	selections	selection	NOUN
ijassa-1381	254	40	that	that	PRON
ijassa-1381	254	41	exceed	exceed	VERB
ijassa-1381	254	42	the	the	DET
ijassa-1381	254	43	classification	classification	NOUN
ijassa-1381	254	44	accuracy	accuracy	NOUN
ijassa-1381	254	45	threshold	threshold	NOUN
ijassa-1381	254	46	)	)	PUNCT
ijassa-1381	254	47	.	.	PUNCT
ijassa-1381	255	1	a	a	DET
ijassa-1381	255	2	comparison	comparison	NOUN
ijassa-1381	255	3	of	of	ADP
ijassa-1381	255	4	the	the	DET
ijassa-1381	255	5	methods	method	NOUN
ijassa-1381	255	6	is	be	AUX
ijassa-1381	255	7	presented	present	VERB
ijassa-1381	255	8	in	in	ADP
ijassa-1381	255	9	table	table	NOUN
ijassa-1381	255	10	6.2	6.2	NUM
ijassa-1381	255	11	.	.	PUNCT
ijassa-1381	256	1	in	in	ADP
ijassa-1381	256	2	the	the	DET
ijassa-1381	256	3	next	next	ADJ
ijassa-1381	256	4	step	step	NOUN
ijassa-1381	256	5	,	,	PUNCT
ijassa-1381	256	6	only	only	ADV
ijassa-1381	256	7	the	the	DET
ijassa-1381	256	8	necessary	necessary	ADJ
ijassa-1381	256	9	number	number	NOUN
ijassa-1381	256	10	of	of	ADP
ijassa-1381	256	11	added	add	VERB
ijassa-1381	256	12	elements	element	NOUN
ijassa-1381	256	13	for	for	ADP
ijassa-1381	256	14	the	the	DET
ijassa-1381	256	15	class	class	NOUN
ijassa-1381	256	16	with	with	ADP
ijassa-1381	256	17	the	the	DET
ijassa-1381	256	18	lowest	low	ADJ
ijassa-1381	256	19	accuracy	accuracy	NOUN
ijassa-1381	256	20	is	be	AUX
ijassa-1381	256	21	taken	take	VERB
ijassa-1381	256	22	from	from	ADP
ijassa-1381	256	23	the	the	DET
ijassa-1381	256	24	labeled	label	VERB
ijassa-1381	256	25	corpus	corpus	NOUN
ijassa-1381	256	26	of	of	ADP
ijassa-1381	256	27	63	63	NUM
ijassa-1381	256	28	000	000	NUM
ijassa-1381	256	29	instances	instance	NOUN
ijassa-1381	256	30	.	.	PUNCT
ijassa-1381	257	1	before	before	ADP
ijassa-1381	257	2	this	this	PRON
ijassa-1381	257	3	,	,	PUNCT
ijassa-1381	257	4	our	our	PRON
ijassa-1381	257	5	predictions	prediction	NOUN
ijassa-1381	257	6	are	be	AUX
ijassa-1381	257	7	sorted	sort	VERB
ijassa-1381	257	8	in	in	ADP
ijassa-1381	257	9	descending	descend	VERB
ijassa-1381	257	10	order	order	NOUN
ijassa-1381	257	11	of	of	ADP
ijassa-1381	257	12	confidence	confidence	NOUN
ijassa-1381	257	13	in	in	ADP
ijassa-1381	257	14	predictions	prediction	NOUN
ijassa-1381	257	15	by	by	ADP
ijassa-1381	257	16	classes	class	NOUN
ijassa-1381	257	17	,	,	PUNCT
ijassa-1381	257	18	and	and	CCONJ
ijassa-1381	257	19	the	the	DET
ijassa-1381	257	20	necessary	necessary	ADJ
ijassa-1381	257	21	number	number	NOUN
ijassa-1381	257	22	of	of	ADP
ijassa-1381	257	23	initial	initial	ADJ
ijassa-1381	257	24	elements	element	NOUN
ijassa-1381	257	25	are	be	AUX
ijassa-1381	257	26	taken	take	VERB
ijassa-1381	257	27	to	to	PART
ijassa-1381	257	28	add	add	VERB
ijassa-1381	257	29	to	to	ADP
ijassa-1381	257	30	the	the	DET
ijassa-1381	257	31	training	training	NOUN
ijassa-1381	257	32	corpus	corpus	NOUN
ijassa-1381	257	33	.	.	PUNCT
ijassa-1381	258	1	also	also	ADV
ijassa-1381	258	2	,	,	PUNCT
ijassa-1381	258	3	the	the	DET
ijassa-1381	258	4	instances	instance	NOUN
ijassa-1381	258	5	already	already	ADV
ijassa-1381	258	6	taken	take	VERB
ijassa-1381	258	7	are	be	AUX
ijassa-1381	258	8	marked	mark	VERB
ijassa-1381	258	9	to	to	PART
ijassa-1381	258	10	avoid	avoid	VERB
ijassa-1381	258	11	taking	take	VERB
ijassa-1381	258	12	them	they	PRON
ijassa-1381	258	13	again	again	ADV
ijassa-1381	258	14	.	.	PUNCT
ijassa-1381	259	1	copyright	copyright	NOUN
ijassa-1381	259	2	©	©	PROPN
ijassa-1381	259	3	2023	2023	NUM
ijassa-1381	259	4	assa	assa	NOUN
ijassa-1381	259	5	.	.	PUNCT
ijassa-1381	260	1	adv	adv	PROPN
ijassa-1381	260	2	syst	syst	PROPN
ijassa-1381	260	3	sci	sci	PROPN
ijassa-1381	260	4	appl	appl	PROPN
ijassa-1381	260	5	(	(	PUNCT
ijassa-1381	260	6	2023	2023	NUM
ijassa-1381	260	7	)	)	PUNCT
ijassa-1381	260	8	assa	assa	NOUN
ijassa-1381	260	9	latex	latex	NOUN
ijassa-1381	260	10	template	template	NOUN
ijassa-1381	260	11	121	121	NUM
ijassa-1381	260	12	table	table	NOUN
ijassa-1381	260	13	6.2	6.2	NUM
ijassa-1381	260	14	.	.	PUNCT
ijassa-1381	261	1	performance	performance	NOUN
ijassa-1381	261	2	evaluation	evaluation	NOUN
ijassa-1381	261	3	of	of	ADP
ijassa-1381	261	4	different	different	ADJ
ijassa-1381	261	5	methods	method	NOUN
ijassa-1381	261	6	for	for	ADP
ijassa-1381	261	7	augmenting	augment	VERB
ijassa-1381	261	8	the	the	DET
ijassa-1381	261	9	training	training	NOUN
ijassa-1381	261	10	corpus	corpus	NOUN
ijassa-1381	261	11	way	way	NOUN
ijassa-1381	261	12	of	of	ADP
ijassa-1381	261	13	adding	add	VERB
ijassa-1381	261	14	instances	instance	NOUN
ijassa-1381	261	15	average	average	ADJ
ijassa-1381	261	16	precision	precision	NOUN
ijassa-1381	261	17	score	score	NOUN
ijassa-1381	261	18	percentage	percentage	NOUN
ijassa-1381	261	19	of	of	ADP
ijassa-1381	261	20	the	the	DET
ijassa-1381	261	21	current	current	ADJ
ijassa-1381	261	22	selection	selection	NOUN
ijassa-1381	261	23	volume	volume	NOUN
ijassa-1381	261	24	73.10	73.10	NUM
ijassa-1381	261	25	percentage	percentage	NOUN
ijassa-1381	261	26	selection	selection	NOUN
ijassa-1381	261	27	with	with	ADP
ijassa-1381	261	28	accuracy	accuracy	NOUN
ijassa-1381	261	29	73.02	73.02	NUM
ijassa-1381	261	30	percentage	percentage	NOUN
ijassa-1381	261	31	selection	selection	NOUN
ijassa-1381	261	32	72.78	72.78	NUM
ijassa-1381	261	33	fixed	fix	VERB
ijassa-1381	261	34	selection	selection	NOUN
ijassa-1381	261	35	72.15	72.15	NUM
ijassa-1381	261	36	if	if	SCONJ
ijassa-1381	261	37	the	the	DET
ijassa-1381	261	38	number	number	NOUN
ijassa-1381	261	39	of	of	ADP
ijassa-1381	261	40	instances	instance	NOUN
ijassa-1381	261	41	is	be	AUX
ijassa-1381	261	42	not	not	PART
ijassa-1381	261	43	sufficient	sufficient	ADJ
ijassa-1381	261	44	,	,	PUNCT
ijassa-1381	261	45	those	those	PRON
ijassa-1381	261	46	available	available	ADJ
ijassa-1381	261	47	are	be	AUX
ijassa-1381	261	48	taken	take	VERB
ijassa-1381	261	49	,	,	PUNCT
ijassa-1381	261	50	or	or	CCONJ
ijassa-1381	261	51	none	none	NOUN
ijassa-1381	261	52	are	be	AUX
ijassa-1381	261	53	taken	take	VERB
ijassa-1381	261	54	,	,	PUNCT
ijassa-1381	261	55	and	and	CCONJ
ijassa-1381	261	56	the	the	DET
ijassa-1381	261	57	algorithm	algorithm	NOUN
ijassa-1381	261	58	retrains	retrain	VERB
ijassa-1381	261	59	the	the	DET
ijassa-1381	261	60	network	network	NOUN
ijassa-1381	261	61	to	to	PART
ijassa-1381	261	62	improve	improve	VERB
ijassa-1381	261	63	accuracy	accuracy	NOUN
ijassa-1381	261	64	,	,	PUNCT
ijassa-1381	261	65	giving	give	VERB
ijassa-1381	261	66	the	the	DET
ijassa-1381	261	67	opportunity	opportunity	NOUN
ijassa-1381	261	68	to	to	PART
ijassa-1381	261	69	take	take	VERB
ijassa-1381	261	70	the	the	DET
ijassa-1381	261	71	necessary	necessary	ADJ
ijassa-1381	261	72	number	number	NOUN
ijassa-1381	261	73	of	of	ADP
ijassa-1381	261	74	elements	element	NOUN
ijassa-1381	261	75	in	in	ADP
ijassa-1381	261	76	the	the	DET
ijassa-1381	261	77	next	next	ADJ
ijassa-1381	261	78	iteration	iteration	NOUN
ijassa-1381	261	79	.	.	PUNCT
ijassa-1381	262	1	while	while	SCONJ
ijassa-1381	262	2	it	it	PRON
ijassa-1381	262	3	is	be	AUX
ijassa-1381	262	4	possible	possible	ADJ
ijassa-1381	262	5	to	to	PART
ijassa-1381	262	6	retrain	retrain	VERB
ijassa-1381	262	7	the	the	DET
ijassa-1381	262	8	network	network	NOUN
ijassa-1381	262	9	in	in	ADP
ijassa-1381	262	10	each	each	DET
ijassa-1381	262	11	iteration	iteration	NOUN
ijassa-1381	262	12	of	of	ADP
ijassa-1381	262	13	the	the	DET
ijassa-1381	262	14	cycle	cycle	NOUN
ijassa-1381	262	15	part	part	NOUN
ijassa-1381	262	16	,	,	PUNCT
ijassa-1381	262	17	it	it	PRON
ijassa-1381	262	18	should	should	AUX
ijassa-1381	262	19	be	be	AUX
ijassa-1381	262	20	understood	understand	VERB
ijassa-1381	262	21	that	that	SCONJ
ijassa-1381	262	22	this	this	PRON
ijassa-1381	262	23	may	may	AUX
ijassa-1381	262	24	lead	lead	VERB
ijassa-1381	262	25	to	to	ADP
ijassa-1381	262	26	overfitting	overfitte	VERB
ijassa-1381	262	27	,	,	PUNCT
ijassa-1381	262	28	which	which	PRON
ijassa-1381	262	29	can	can	AUX
ijassa-1381	262	30	result	result	VERB
ijassa-1381	262	31	in	in	ADP
ijassa-1381	262	32	worse	bad	ADJ
ijassa-1381	262	33	network	network	NOUN
ijassa-1381	262	34	training	training	NOUN
ijassa-1381	262	35	outcomes	outcome	NOUN
ijassa-1381	262	36	.	.	PUNCT
ijassa-1381	263	1	testing	test	VERB
ijassa-1381	263	2	with	with	ADP
ijassa-1381	263	3	training	training	NOUN
ijassa-1381	263	4	from	from	ADP
ijassa-1381	263	5	scratch	scratch	NOUN
ijassa-1381	263	6	and	and	CCONJ
ijassa-1381	263	7	continuous	continuous	ADJ
ijassa-1381	263	8	retraining	retraining	NOUN
ijassa-1381	263	9	of	of	ADP
ijassa-1381	263	10	the	the	DET
ijassa-1381	263	11	model	model	NOUN
ijassa-1381	263	12	in	in	ADP
ijassa-1381	263	13	the	the	DET
ijassa-1381	263	14	cycle	cycle	NOUN
ijassa-1381	263	15	part	part	NOUN
ijassa-1381	263	16	showed	show	VERB
ijassa-1381	263	17	that	that	SCONJ
ijassa-1381	263	18	the	the	DET
ijassa-1381	263	19	model	model	NOUN
ijassa-1381	263	20	trained	train	VERB
ijassa-1381	263	21	in	in	ADP
ijassa-1381	263	22	the	the	DET
ijassa-1381	263	23	continuous	continuous	ADJ
ijassa-1381	263	24	retraining	retraining	ADJ
ijassa-1381	263	25	mode	mode	NOUN
ijassa-1381	263	26	performed	perform	VERB
ijassa-1381	263	27	better	well	ADV
ijassa-1381	263	28	despite	despite	SCONJ
ijassa-1381	263	29	overfitting	overfitte	VERB
ijassa-1381	263	30	[	[	X
ijassa-1381	263	31	26	26	NUM
ijassa-1381	263	32	]	]	PUNCT
ijassa-1381	263	33	.	.	PUNCT
ijassa-1381	264	1	it	it	PRON
ijassa-1381	264	2	is	be	AUX
ijassa-1381	264	3	recommended	recommend	VERB
ijassa-1381	264	4	to	to	PART
ijassa-1381	264	5	create	create	VERB
ijassa-1381	264	6	an	an	DET
ijassa-1381	264	7	additional	additional	ADJ
ijassa-1381	264	8	test	test	NOUN
ijassa-1381	264	9	set	set	VERB
ijassa-1381	264	10	for	for	ADP
ijassa-1381	264	11	final	final	ADJ
ijassa-1381	264	12	evaluation	evaluation	NOUN
ijassa-1381	264	13	at	at	ADP
ijassa-1381	264	14	the	the	DET
ijassa-1381	264	15	end	end	NOUN
ijassa-1381	264	16	of	of	ADP
ijassa-1381	264	17	the	the	DET
ijassa-1381	264	18	process	process	NOUN
ijassa-1381	264	19	to	to	PART
ijassa-1381	264	20	exclude	exclude	VERB
ijassa-1381	264	21	any	any	DET
ijassa-1381	264	22	implicit	implicit	ADJ
ijassa-1381	264	23	overfitting	overfitting	NOUN
ijassa-1381	264	24	.	.	PUNCT
ijassa-1381	265	1	active	active	ADJ
ijassa-1381	265	2	learning	learning	NOUN
ijassa-1381	265	3	improves	improve	VERB
ijassa-1381	265	4	network	network	NOUN
ijassa-1381	265	5	accuracy	accuracy	NOUN
ijassa-1381	265	6	by	by	ADP
ijassa-1381	265	7	an	an	DET
ijassa-1381	265	8	average	average	NOUN
ijassa-1381	265	9	of	of	ADP
ijassa-1381	265	10	3–4	3–4	NUM
ijassa-1381	265	11	%	%	NOUN
ijassa-1381	265	12	in	in	ADP
ijassa-1381	265	13	this	this	DET
ijassa-1381	265	14	task	task	NOUN
ijassa-1381	265	15	.	.	PUNCT
ijassa-1381	266	1	the	the	DET
ijassa-1381	266	2	pretrain	pretrain	NOUN
ijassa-1381	266	3	part	part	NOUN
ijassa-1381	266	4	is	be	AUX
ijassa-1381	266	5	essential	essential	ADJ
ijassa-1381	266	6	,	,	PUNCT
ijassa-1381	266	7	and	and	CCONJ
ijassa-1381	266	8	it	it	PRON
ijassa-1381	266	9	is	be	AUX
ijassa-1381	266	10	better	well	ADJ
ijassa-1381	266	11	to	to	PART
ijassa-1381	266	12	choose	choose	VERB
ijassa-1381	266	13	a	a	DET
ijassa-1381	266	14	larger	large	ADJ
ijassa-1381	266	15	number	number	NOUN
ijassa-1381	266	16	of	of	ADP
ijassa-1381	266	17	epochs	epoch	NOUN
ijassa-1381	266	18	for	for	ADP
ijassa-1381	266	19	training	train	VERB
ijassa-1381	266	20	the	the	DET
ijassa-1381	266	21	model	model	NOUN
ijassa-1381	266	22	in	in	ADP
ijassa-1381	266	23	this	this	DET
ijassa-1381	266	24	part	part	NOUN
ijassa-1381	266	25	,	,	PUNCT
ijassa-1381	266	26	as	as	SCONJ
ijassa-1381	266	27	the	the	DET
ijassa-1381	266	28	most	most	ADV
ijassa-1381	266	29	accurate	accurate	ADJ
ijassa-1381	266	30	initial	initial	ADJ
ijassa-1381	266	31	labeling	labeling	NOUN
ijassa-1381	266	32	has	have	VERB
ijassa-1381	266	33	a	a	DET
ijassa-1381	266	34	greater	great	ADJ
ijassa-1381	266	35	impact	impact	NOUN
ijassa-1381	266	36	than	than	ADP
ijassa-1381	266	37	accurate	accurate	ADJ
ijassa-1381	266	38	labeling	labeling	NOUN
ijassa-1381	266	39	in	in	ADP
ijassa-1381	266	40	the	the	DET
ijassa-1381	266	41	later	later	ADJ
ijassa-1381	266	42	iterations	iteration	NOUN
ijassa-1381	266	43	of	of	ADP
ijassa-1381	266	44	the	the	DET
ijassa-1381	266	45	cycle	cycle	NOUN
ijassa-1381	266	46	part	part	NOUN
ijassa-1381	266	47	(	(	PUNCT
ijassa-1381	266	48	the	the	DET
ijassa-1381	266	49	accuracy	accuracy	NOUN
ijassa-1381	266	50	is	be	AUX
ijassa-1381	266	51	higher	high	ADJ
ijassa-1381	266	52	by	by	ADP
ijassa-1381	266	53	0.5	0.5	NUM
ijassa-1381	266	54	%	%	NOUN
ijassa-1381	266	55	on	on	ADP
ijassa-1381	266	56	average	average	ADJ
ijassa-1381	266	57	)	)	PUNCT
ijassa-1381	267	1	[	[	X
ijassa-1381	267	2	23	23	NUM
ijassa-1381	267	3	]	]	PUNCT
ijassa-1381	267	4	.	.	PUNCT
ijassa-1381	268	1	at	at	ADP
ijassa-1381	268	2	the	the	DET
ijassa-1381	268	3	end	end	NOUN
ijassa-1381	268	4	of	of	ADP
ijassa-1381	268	5	the	the	DET
ijassa-1381	268	6	cycle	cycle	NOUN
ijassa-1381	268	7	iteration	iteration	NOUN
ijassa-1381	268	8	,	,	PUNCT
ijassa-1381	268	9	accuracy	accuracy	NOUN
ijassa-1381	268	10	is	be	AUX
ijassa-1381	268	11	calculated	calculate	VERB
ijassa-1381	268	12	on	on	ADP
ijassa-1381	268	13	the	the	DET
ijassa-1381	268	14	test	test	NOUN
ijassa-1381	268	15	corpus	corpus	NOUN
ijassa-1381	268	16	,	,	PUNCT
ijassa-1381	268	17	and	and	CCONJ
ijassa-1381	268	18	a	a	DET
ijassa-1381	268	19	training	training	NOUN
ijassa-1381	268	20	corpus	corpus	NOUN
ijassa-1381	268	21	is	be	AUX
ijassa-1381	268	22	created	create	VERB
ijassa-1381	268	23	with	with	ADP
ijassa-1381	268	24	the	the	DET
ijassa-1381	268	25	added	add	VERB
ijassa-1381	268	26	set	set	NOUN
ijassa-1381	268	27	of	of	ADP
ijassa-1381	268	28	instances	instance	NOUN
ijassa-1381	268	29	determined	determine	VERB
ijassa-1381	268	30	to	to	PART
ijassa-1381	268	31	be	be	AUX
ijassa-1381	268	32	necessary	necessary	ADJ
ijassa-1381	268	33	for	for	ADP
ijassa-1381	268	34	adding	add	VERB
ijassa-1381	268	35	.	.	PUNCT
ijassa-1381	269	1	the	the	DET
ijassa-1381	269	2	next	next	ADJ
ijassa-1381	269	3	iteration	iteration	NOUN
ijassa-1381	269	4	of	of	ADP
ijassa-1381	269	5	the	the	DET
ijassa-1381	269	6	cycle	cycle	NOUN
ijassa-1381	269	7	part	part	NOUN
ijassa-1381	269	8	starts	start	VERB
ijassa-1381	269	9	again	again	ADV
ijassa-1381	269	10	on	on	ADP
ijassa-1381	269	11	the	the	DET
ijassa-1381	269	12	updated	update	VERB
ijassa-1381	269	13	training	training	NOUN
ijassa-1381	269	14	dataset	dataset	NOUN
ijassa-1381	269	15	.	.	PUNCT
ijassa-1381	270	1	the	the	DET
ijassa-1381	270	2	active	active	ADJ
ijassa-1381	270	3	learning	learning	NOUN
ijassa-1381	270	4	algorithm	algorithm	PROPN
ijassa-1381	270	5	’s	’s	PART
ijassa-1381	270	6	operation	operation	NOUN
ijassa-1381	270	7	is	be	AUX
ijassa-1381	270	8	presented	present	VERB
ijassa-1381	270	9	in	in	ADP
ijassa-1381	270	10	fig	fig	NOUN
ijassa-1381	270	11	.	.	PUNCT
ijassa-1381	271	1	5.11	5.11	NUM
ijassa-1381	271	2	and	and	CCONJ
ijassa-1381	271	3	fig	fig	NOUN
ijassa-1381	271	4	.	.	PUNCT
ijassa-1381	272	1	6.12	6.12	NUM
ijassa-1381	272	2	.	.	X
ijassa-1381	272	3	fig	fig	NOUN
ijassa-1381	272	4	.	.	PUNCT
ijassa-1381	273	1	6.12	6.12	NUM
ijassa-1381	273	2	.	.	PUNCT
ijassa-1381	274	1	third	third	ADJ
ijassa-1381	274	2	active	active	ADJ
ijassa-1381	274	3	learning	learning	NOUN
ijassa-1381	274	4	cycle	cycle	NOUN
ijassa-1381	274	5	.	.	PUNCT
ijassa-1381	275	1	copyright	copyright	NOUN
ijassa-1381	275	2	©	©	PROPN
ijassa-1381	275	3	2023	2023	NUM
ijassa-1381	275	4	assa	assa	NOUN
ijassa-1381	275	5	.	.	PUNCT
ijassa-1381	276	1	adv	adv	PROPN
ijassa-1381	276	2	syst	syst	PROPN
ijassa-1381	276	3	sci	sci	PROPN
ijassa-1381	276	4	appl	appl	PROPN
ijassa-1381	276	5	(	(	PUNCT
ijassa-1381	276	6	2023	2023	NUM
ijassa-1381	276	7	)	)	PUNCT
ijassa-1381	276	8	122	122	NUM
ijassa-1381	276	9	d.	d.	PROPN
ijassa-1381	276	10	gubanov	gubanov	PROPN
ijassa-1381	276	11	,	,	PUNCT
ijassa-1381	276	12	a.	a.	NOUN
ijassa-1381	276	13	chkhartishvili	chkhartishvili	NOUN
ijassa-1381	276	14	,	,	PUNCT
ijassa-1381	276	15	v.	v.	CCONJ
ijassa-1381	276	16	melnichuk	melnichuk	PROPN
ijassa-1381	276	17	,	,	PUNCT
ijassa-1381	276	18	v.	v.	ADP
ijassa-1381	276	19	sych	sych	PROPN
ijassa-1381	276	20	7	7	NUM
ijassa-1381	276	21	.	.	PUNCT
ijassa-1381	276	22	experimental	experimental	ADJ
ijassa-1381	276	23	results	result	NOUN
ijassa-1381	276	24	and	and	CCONJ
ijassa-1381	276	25	practical	practical	ADJ
ijassa-1381	276	26	application	application	NOUN
ijassa-1381	276	27	this	this	DET
ijassa-1381	276	28	section	section	NOUN
ijassa-1381	276	29	covers	cover	VERB
ijassa-1381	276	30	the	the	DET
ijassa-1381	276	31	results	result	NOUN
ijassa-1381	276	32	of	of	ADP
ijassa-1381	276	33	opinion	opinion	NOUN
ijassa-1381	276	34	analysis	analysis	NOUN
ijassa-1381	276	35	using	use	VERB
ijassa-1381	276	36	natural	natural	ADJ
ijassa-1381	276	37	language	language	NOUN
ijassa-1381	276	38	processing	processing	NOUN
ijassa-1381	276	39	and	and	CCONJ
ijassa-1381	276	40	the	the	DET
ijassa-1381	276	41	performance	performance	NOUN
ijassa-1381	276	42	evaluation	evaluation	NOUN
ijassa-1381	276	43	of	of	ADP
ijassa-1381	276	44	machine	machine	NOUN
ijassa-1381	276	45	learning	learn	VERB
ijassa-1381	276	46	techniques	technique	NOUN
ijassa-1381	276	47	applied	apply	VERB
ijassa-1381	276	48	.	.	PUNCT
ijassa-1381	277	1	the	the	DET
ijassa-1381	277	2	work	work	NOUN
ijassa-1381	277	3	collected	collect	VERB
ijassa-1381	277	4	a	a	DET
ijassa-1381	277	5	total	total	NOUN
ijassa-1381	277	6	of	of	ADP
ijassa-1381	277	7	2.4	2.4	NUM
ijassa-1381	277	8	million	million	NUM
ijassa-1381	277	9	commentaries	commentary	NOUN
ijassa-1381	277	10	from	from	ADP
ijassa-1381	277	11	russian	russian	ADJ
ijassa-1381	277	12	people	people	NOUN
ijassa-1381	277	13	in	in	ADP
ijassa-1381	277	14	2020	2020	NUM
ijassa-1381	277	15	and	and	CCONJ
ijassa-1381	277	16	2021	2021	NUM
ijassa-1381	277	17	for	for	ADP
ijassa-1381	277	18	opinion	opinion	NOUN
ijassa-1381	277	19	analysis	analysis	NOUN
ijassa-1381	277	20	on	on	ADP
ijassa-1381	277	21	vaccines	vaccine	NOUN
ijassa-1381	277	22	using	use	VERB
ijassa-1381	277	23	the	the	DET
ijassa-1381	277	24	vk	vk	PROPN
ijassa-1381	277	25	api	api	NOUN
ijassa-1381	277	26	.	.	PUNCT
ijassa-1381	278	1	fifteen	fifteen	NUM
ijassa-1381	278	2	fields	field	NOUN
ijassa-1381	278	3	were	be	AUX
ijassa-1381	278	4	extracted	extract	VERB
ijassa-1381	278	5	such	such	ADJ
ijassa-1381	278	6	as	as	ADP
ijassa-1381	278	7	post	post	NOUN
ijassa-1381	278	8	source	source	NOUN
ijassa-1381	278	9	i	i	PROPN
ijassa-1381	278	10	d	d	PROPN
ijassa-1381	278	11	,	,	PUNCT
ijassa-1381	278	12	post	post	VERB
ijassa-1381	278	13	i	i	PROPN
ijassa-1381	278	14	d	d	PROPN
ijassa-1381	278	15	,	,	PUNCT
ijassa-1381	278	16	comment	comment	NOUN
ijassa-1381	278	17	i	i	PROPN
ijassa-1381	278	18	d	d	PROPN
ijassa-1381	278	19	,	,	PUNCT
ijassa-1381	278	20	user	user	NOUN
ijassa-1381	278	21	i	i	PROPN
ijassa-1381	278	22	d	d	PROPN
ijassa-1381	278	23	,	,	PUNCT
ijassa-1381	278	24	parent	parent	NOUN
ijassa-1381	278	25	comment	comment	NOUN
ijassa-1381	278	26	i	i	PROPN
ijassa-1381	278	27	d	d	PROPN
ijassa-1381	278	28	,	,	PUNCT
ijassa-1381	278	29	liker	like	ADJ
ijassa-1381	278	30	i	i	PROPN
ijassa-1381	278	31	d	d	PROPN
ijassa-1381	278	32	,	,	PUNCT
ijassa-1381	278	33	user	user	NOUN
ijassa-1381	278	34	subscriptions	subscription	NOUN
ijassa-1381	278	35	,	,	PUNCT
ijassa-1381	278	36	date	date	NOUN
ijassa-1381	278	37	,	,	PUNCT
ijassa-1381	278	38	text	text	NOUN
ijassa-1381	278	39	,	,	PUNCT
ijassa-1381	278	40	comment	comment	NOUN
ijassa-1381	278	41	label	label	NOUN
ijassa-1381	278	42	,	,	PUNCT
ijassa-1381	278	43	which	which	PRON
ijassa-1381	278	44	were	be	AUX
ijassa-1381	278	45	shown	show	VERB
ijassa-1381	278	46	in	in	ADP
ijassa-1381	278	47	tables	table	NOUN
ijassa-1381	278	48	7.3–7.6	7.3–7.6	NOUN
ijassa-1381	278	49	.	.	PUNCT
ijassa-1381	278	50	table	table	NOUN
ijassa-1381	278	51	7.3	7.3	NUM
ijassa-1381	278	52	.	.	PUNCT
ijassa-1381	279	1	unlabelled	unlabelled	ADJ
ijassa-1381	279	2	commentaries	commentary	NOUN
ijassa-1381	279	3	h	h	PROPN
ijassa-1381	279	4	owner	owner	NOUN
ijassa-1381	279	5	i	i	PROPN
ijassa-1381	279	6	d	d	PROPN
ijassa-1381	279	7	h	h	NOUN
ijassa-1381	279	8	post	post	VERB
ijassa-1381	279	9	i	i	PROPN
ijassa-1381	279	10	d	d	NOUN
ijassa-1381	279	11	h	h	NOUN
ijassa-1381	279	12	comment	comment	NOUN
ijassa-1381	280	1	i	i	NOUN
ijassa-1381	280	2	d	d	NOUN
ijassa-1381	280	3	h	h	NOUN
ijassa-1381	280	4	commenter	commenter	NOUN
ijassa-1381	281	1	i	i	PROPN
ijassa-1381	281	2	d	d	PROPN
ijassa-1381	281	3	...	...	PUNCT
ijassa-1381	282	1	h	h	PROPN
ijassa-1381	282	2	addr	addr	PROPN
ijassa-1381	282	3	comment	comment	PROPN
ijassa-1381	283	1	i	i	PROPN
ijassa-1381	283	2	d	d	NOUN
ijassa-1381	283	3	date	date	NOUN
ijassa-1381	283	4	text	text	NOUN
ijassa-1381	283	5	3a4	3a4	NUM
ijassa-1381	283	6	...	...	PUNCT
ijassa-1381	283	7	d8b	d8b	PROPN
ijassa-1381	283	8	...	...	PUNCT
ijassa-1381	283	9	9d4	9d4	NUM
ijassa-1381	283	10	...	...	PUNCT
ijassa-1381	283	11	d41	d41	PROPN
ijassa-1381	283	12	...	...	PUNCT
ijassa-1381	283	13	...	...	PUNCT
ijassa-1381	284	1	nan	nan	PROPN
ijassa-1381	284	2	158	158	NUM
ijassa-1381	284	3	...	...	PUNCT
ijassa-1381	284	4	uzhas	uzha	VERB
ijassa-1381	285	1	[	[	X
ijassa-1381	285	2	horror	horror	NOUN
ijassa-1381	285	3	]	]	X
ijassa-1381	285	4	table	table	NOUN
ijassa-1381	285	5	7.4	7.4	NUM
ijassa-1381	285	6	.	.	PUNCT
ijassa-1381	286	1	likes	like	NOUN
ijassa-1381	286	2	on	on	ADP
ijassa-1381	286	3	posts	post	NOUN
ijassa-1381	286	4	and	and	CCONJ
ijassa-1381	286	5	user	user	NOUN
ijassa-1381	286	6	commentaries	commentary	NOUN
ijassa-1381	287	1	h	h	PROPN
ijassa-1381	287	2	owner	owner	NOUN
ijassa-1381	287	3	i	i	PROPN
ijassa-1381	287	4	d	d	PROPN
ijassa-1381	287	5	h	h	NOUN
ijassa-1381	287	6	post	post	VERB
ijassa-1381	287	7	i	i	PROPN
ijassa-1381	287	8	d	d	NOUN
ijassa-1381	287	9	h	h	NOUN
ijassa-1381	287	10	comment	comment	NOUN
ijassa-1381	288	1	i	i	NOUN
ijassa-1381	288	2	d	d	PROPN
ijassa-1381	288	3	true	true	ADJ
ijassa-1381	288	4	label	label	NOUN
ijassa-1381	288	5	text	text	NOUN
ijassa-1381	288	6	3a4	3a4	NUM
ijassa-1381	288	7	...	...	PUNCT
ijassa-1381	288	8	d8b	d8b	PROPN
ijassa-1381	288	9	...	...	PUNCT
ijassa-1381	289	1	9d4	9d4	NUM
ijassa-1381	289	2	...	...	PUNCT
ijassa-1381	289	3	0.0	0.0	NUM
ijassa-1381	289	4	nuzhno	nuzhno	NOUN
ijassa-1381	289	5	lechit	lechit	NOUN
ijassa-1381	289	6	’	'	PUNCT
ijassa-1381	289	7	koronovirus	koronovirus	NOUN
ijassa-1381	289	8	[	[	X
ijassa-1381	289	9	cure	cure	NOUN
ijassa-1381	289	10	covid	covid	NOUN
ijassa-1381	289	11	]	]	PUNCT
ijassa-1381	289	12	table	table	NOUN
ijassa-1381	289	13	7.5	7.5	NUM
ijassa-1381	289	14	.	.	PUNCT
ijassa-1381	290	1	information	information	NOUN
ijassa-1381	290	2	about	about	ADP
ijassa-1381	290	3	posts	post	NOUN
ijassa-1381	290	4	h	h	PROPN
ijassa-1381	290	5	owner	owner	NOUN
ijassa-1381	290	6	i	i	PROPN
ijassa-1381	290	7	d	d	PROPN
ijassa-1381	290	8	h	h	NOUN
ijassa-1381	290	9	post	post	VERB
ijassa-1381	290	10	i	i	PROPN
ijassa-1381	290	11	d	d	NOUN
ijassa-1381	290	12	h	h	NOUN
ijassa-1381	290	13	comment	comment	NOUN
ijassa-1381	291	1	i	i	NOUN
ijassa-1381	291	2	d	d	PROPN
ijassa-1381	291	3	true	true	ADJ
ijassa-1381	291	4	label	label	NOUN
ijassa-1381	291	5	text	text	NOUN
ijassa-1381	291	6	3a4	3a4	NUM
ijassa-1381	291	7	...	...	PUNCT
ijassa-1381	291	8	d8b	d8b	PROPN
ijassa-1381	291	9	...	...	PUNCT
ijassa-1381	291	10	9d4	9d4	NUM
ijassa-1381	291	11	...	...	PUNCT
ijassa-1381	291	12	0.0	0.0	NUM
ijassa-1381	291	13	tol’ko	tol’ko	NOUN
ijassa-1381	291	14	6	6	NUM
ijassa-1381	291	15	%	%	NOUN
ijassa-1381	291	16	rossiyan	rossiyan	NOUN
ijassa-1381	291	17	...	...	PUNCT
ijassa-1381	292	1	[	[	X
ijassa-1381	292	2	only	only	ADV
ijassa-1381	292	3	6	6	NUM
ijassa-1381	292	4	%	%	NOUN
ijassa-1381	292	5	of	of	ADP
ijassa-1381	292	6	russians	russians	PROPN
ijassa-1381	292	7	...	...	PUNCT
ijassa-1381	292	8	]	]	PUNCT
ijassa-1381	292	9	table	table	NOUN
ijassa-1381	292	10	7.6	7.6	NUM
ijassa-1381	292	11	.	.	PUNCT
ijassa-1381	293	1	commentaries	commentary	NOUN
ijassa-1381	293	2	on	on	ADP
ijassa-1381	293	3	vaccination	vaccination	NOUN
ijassa-1381	293	4	h	h	NOUN
ijassa-1381	293	5	owner	owner	NOUN
ijassa-1381	293	6	i	i	PROPN
ijassa-1381	293	7	d	d	PROPN
ijassa-1381	293	8	h	h	NOUN
ijassa-1381	293	9	post	post	VERB
ijassa-1381	293	10	i	i	PROPN
ijassa-1381	293	11	d	d	NOUN
ijassa-1381	293	12	h	h	NOUN
ijassa-1381	293	13	comment	comment	NOUN
ijassa-1381	294	1	i	i	NOUN
ijassa-1381	294	2	d	d	PROPN
ijassa-1381	294	3	true	true	ADJ
ijassa-1381	294	4	label	label	NOUN
ijassa-1381	294	5	text	text	NOUN
ijassa-1381	294	6	3a4	3a4	NUM
ijassa-1381	294	7	...	...	PUNCT
ijassa-1381	294	8	d8b	d8b	PROPN
ijassa-1381	294	9	...	...	PUNCT
ijassa-1381	295	1	9d4	9d4	NUM
ijassa-1381	295	2	...	...	PUNCT
ijassa-1381	296	1	0.0	0.0	NUM
ijassa-1381	296	2	a	a	DET
ijassa-1381	296	3	gde	gde	PROPN
ijassa-1381	296	4	budut	budut	PROPN
ijassa-1381	296	5	vakcinirovat	vakcinirovat	PROPN
ijassa-1381	296	6	’	'	PUNCT
ijassa-1381	296	7	...	...	PUNCT
ijassa-1381	297	1	[	[	X
ijassa-1381	297	2	where	where	SCONJ
ijassa-1381	297	3	will	will	AUX
ijassa-1381	297	4	they	they	PRON
ijassa-1381	297	5	vaccinate	vaccinate	VERB
ijassa-1381	297	6	...	...	PUNCT
ijassa-1381	297	7	]	]	PUNCT
ijassa-1381	298	1	0ef	0ef	ADJ
ijassa-1381	298	2	...	...	PUNCT
ijassa-1381	299	1	edc	edc	PROPN
ijassa-1381	299	2	...	...	PUNCT
ijassa-1381	300	1	9b4	9b4	NUM
ijassa-1381	300	2	...	...	PUNCT
ijassa-1381	300	3	1.0	1.0	NUM
ijassa-1381	300	4	spasibo	spasibo	PROPN
ijassa-1381	300	5	nashim	nashim	PROPN
ijassa-1381	300	6	uchyonym	uchyonym	PROPN
ijassa-1381	301	1	[	[	X
ijassa-1381	301	2	thanks	thank	NOUN
ijassa-1381	301	3	to	to	ADP
ijassa-1381	301	4	our	our	PRON
ijassa-1381	301	5	scientists	scientist	NOUN
ijassa-1381	301	6	]	]	PUNCT
ijassa-1381	301	7	92e	92e	NOUN
ijassa-1381	301	8	...	...	PUNCT
ijassa-1381	302	1	fe4	fe4	X
ijassa-1381	302	2	...	...	PUNCT
ijassa-1381	302	3	576	576	NUM
ijassa-1381	302	4	...	...	PUNCT
ijassa-1381	303	1	nan	nan	PROPN
ijassa-1381	303	2	oni	oni	PROPN
ijassa-1381	303	3	vrut	vrut	PROPN
ijassa-1381	304	1	[	[	X
ijassa-1381	304	2	they	they	PRON
ijassa-1381	304	3	lie	lie	VERB
ijassa-1381	304	4	]	]	PUNCT
ijassa-1381	304	5	2e1	2e1	NUM
ijassa-1381	304	6	...	...	PUNCT
ijassa-1381	304	7	e43	e43	NOUN
ijassa-1381	304	8	...	...	PUNCT
ijassa-1381	304	9	76f	76f	NUM
ijassa-1381	304	10	...	...	PUNCT
ijassa-1381	304	11	2.0	2.0	NUM
ijassa-1381	304	12	smekh	smekh	ADJ
ijassa-1381	304	13	,	,	PUNCT
ijassa-1381	304	14	vakcina	vakcina	NOUN
ijassa-1381	304	15	pomozhet	pomozhet	NOUN
ijassa-1381	304	16	[	[	X
ijassa-1381	304	17	jokes	joke	NOUN
ijassa-1381	304	18	aside	aside	ADV
ijassa-1381	304	19	,	,	PUNCT
ijassa-1381	304	20	the	the	DET
ijassa-1381	304	21	vaccine	vaccine	NOUN
ijassa-1381	304	22	will	will	AUX
ijassa-1381	304	23	help	help	VERB
ijassa-1381	304	24	]	]	PUNCT
ijassa-1381	304	25	table	table	NOUN
ijassa-1381	304	26	7.7	7.7	NUM
ijassa-1381	304	27	.	.	PUNCT
ijassa-1381	305	1	distribution	distribution	NOUN
ijassa-1381	305	2	of	of	ADP
ijassa-1381	305	3	opinions	opinion	NOUN
ijassa-1381	305	4	in	in	ADP
ijassa-1381	305	5	commentaries	commentary	NOUN
ijassa-1381	305	6	after	after	SCONJ
ijassa-1381	305	7	data	datum	NOUN
ijassa-1381	305	8	labelling	label	VERB
ijassa-1381	305	9	total	total	ADJ
ijassa-1381	305	10	number	number	NOUN
ijassa-1381	305	11	of	of	ADP
ijassa-1381	305	12	commentaries	commentary	NOUN
ijassa-1381	305	13	positive	positive	ADJ
ijassa-1381	305	14	negative	negative	ADJ
ijassa-1381	305	15	neutral	neutral	ADJ
ijassa-1381	305	16	/	/	SYM
ijassa-1381	305	17	unknown	unknown	ADJ
ijassa-1381	305	18	2,285,620	2,285,620	NUM
ijassa-1381	305	19	911,269	911,269	NUM
ijassa-1381	305	20	(	(	PUNCT
ijassa-1381	305	21	39.87	39.87	NUM
ijassa-1381	305	22	%	%	NOUN
ijassa-1381	305	23	)	)	PUNCT
ijassa-1381	305	24	421,580	421,580	NUM
ijassa-1381	305	25	(	(	PUNCT
ijassa-1381	305	26	18.44	18.44	NUM
ijassa-1381	305	27	%	%	NOUN
ijassa-1381	305	28	)	)	PUNCT
ijassa-1381	305	29	952,771	952,771	NUM
ijassa-1381	305	30	(	(	PUNCT
ijassa-1381	305	31	41.69	41.69	NUM
ijassa-1381	305	32	%	%	NOUN
ijassa-1381	305	33	)	)	PUNCT
ijassa-1381	305	34	the	the	DET
ijassa-1381	305	35	trained	train	VERB
ijassa-1381	305	36	classifier	classifier	NOUN
ijassa-1381	305	37	was	be	AUX
ijassa-1381	305	38	used	use	VERB
ijassa-1381	305	39	to	to	PART
ijassa-1381	305	40	label	label	VERB
ijassa-1381	305	41	the	the	DET
ijassa-1381	305	42	data	datum	NOUN
ijassa-1381	305	43	,	,	PUNCT
ijassa-1381	305	44	and	and	CCONJ
ijassa-1381	305	45	the	the	DET
ijassa-1381	305	46	resulting	result	VERB
ijassa-1381	305	47	labels	label	NOUN
ijassa-1381	305	48	are	be	AUX
ijassa-1381	305	49	added	add	VERB
ijassa-1381	305	50	as	as	ADP
ijassa-1381	305	51	an	an	DET
ijassa-1381	305	52	additional	additional	ADJ
ijassa-1381	305	53	column	column	NOUN
ijassa-1381	305	54	label	label	NOUN
ijassa-1381	305	55	to	to	ADP
ijassa-1381	305	56	table	table	NOUN
ijassa-1381	305	57	7.3	7.3	NUM
ijassa-1381	305	58	.	.	PUNCT
ijassa-1381	306	1	the	the	DET
ijassa-1381	306	2	distribution	distribution	NOUN
ijassa-1381	306	3	of	of	ADP
ijassa-1381	306	4	opinion	opinion	NOUN
ijassa-1381	306	5	after	after	SCONJ
ijassa-1381	306	6	labelling	labelling	NOUN
ijassa-1381	306	7	are	be	AUX
ijassa-1381	306	8	shown	show	VERB
ijassa-1381	306	9	in	in	ADP
ijassa-1381	306	10	table	table	NOUN
ijassa-1381	306	11	7.7	7.7	NUM
ijassa-1381	306	12	.	.	PUNCT
ijassa-1381	307	1	the	the	DET
ijassa-1381	307	2	majority	majority	NOUN
ijassa-1381	307	3	of	of	ADP
ijassa-1381	307	4	input	input	NOUN
ijassa-1381	307	5	commentaries	commentary	NOUN
ijassa-1381	307	6	were	be	AUX
ijassa-1381	307	7	analyzed	analyze	VERB
ijassa-1381	307	8	as	as	ADP
ijassa-1381	307	9	neutral	neutral	ADJ
ijassa-1381	307	10	/	/	SYM
ijassa-1381	307	11	unknown	unknown	ADJ
ijassa-1381	307	12	positive	positive	ADJ
ijassa-1381	307	13	and	and	CCONJ
ijassa-1381	307	14	followed	follow	VERB
ijassa-1381	307	15	by	by	ADP
ijassa-1381	307	16	negative	negative	ADJ
ijassa-1381	307	17	commentaries	commentary	NOUN
ijassa-1381	307	18	.	.	PUNCT
ijassa-1381	308	1	the	the	DET
ijassa-1381	308	2	results	result	NOUN
ijassa-1381	308	3	indicate	indicate	VERB
ijassa-1381	308	4	that	that	SCONJ
ijassa-1381	308	5	41.69	41.69	NUM
ijassa-1381	308	6	%	%	NOUN
ijassa-1381	308	7	of	of	ADP
ijassa-1381	308	8	input	input	NOUN
ijassa-1381	308	9	commentaries	commentary	NOUN
ijassa-1381	308	10	were	be	AUX
ijassa-1381	308	11	classified	classify	VERB
ijassa-1381	308	12	as	as	ADP
ijassa-1381	308	13	neutral	neutral	ADJ
ijassa-1381	308	14	/	/	SYM
ijassa-1381	308	15	unknown	unknown	ADJ
ijassa-1381	308	16	,	,	PUNCT
ijassa-1381	308	17	39.87	39.87	NUM
ijassa-1381	308	18	%	%	NOUN
ijassa-1381	308	19	as	as	ADP
ijassa-1381	308	20	positive	positive	ADJ
ijassa-1381	308	21	,	,	PUNCT
ijassa-1381	308	22	and	and	CCONJ
ijassa-1381	308	23	18.44	18.44	NUM
ijassa-1381	308	24	%	%	NOUN
ijassa-1381	308	25	as	as	ADP
ijassa-1381	308	26	negative	negative	ADJ
ijassa-1381	308	27	.	.	PUNCT
ijassa-1381	309	1	inference	inference	NOUN
ijassa-1381	309	2	(	(	PUNCT
ijassa-1381	309	3	inf	inf	NOUN
ijassa-1381	309	4	.	.	PUNCT
ijassa-1381	309	5	)	)	PUNCT
ijassa-1381	309	6	requires	require	VERB
ijassa-1381	309	7	on	on	ADP
ijassa-1381	309	8	average	average	ADJ
ijassa-1381	309	9	three	three	NUM
ijassa-1381	309	10	times	time	NOUN
ijassa-1381	309	11	fewer	few	ADJ
ijassa-1381	309	12	ram	ram	NOUN
ijassa-1381	309	13	resources	resource	NOUN
ijassa-1381	309	14	.	.	PUNCT
ijassa-1381	310	1	table	table	NOUN
ijassa-1381	310	2	7.8	7.8	NUM
ijassa-1381	310	3	.	.	PUNCT
ijassa-1381	311	1	performance	performance	NOUN
ijassa-1381	311	2	evaluation	evaluation	NOUN
ijassa-1381	311	3	and	and	CCONJ
ijassa-1381	311	4	resource	resource	NOUN
ijassa-1381	311	5	utilization	utilization	NOUN
ijassa-1381	311	6	of	of	ADP
ijassa-1381	311	7	different	different	ADJ
ijassa-1381	311	8	classifiers	classifier	NOUN
ijassa-1381	311	9	model	model	NOUN
ijassa-1381	311	10	precision	precision	NOUN
ijassa-1381	311	11	score	score	NOUN
ijassa-1381	311	12	training	training	NOUN
ijassa-1381	311	13	time	time	NOUN
ijassa-1381	311	14	ram	ram	NOUN
ijassa-1381	311	15	/	/	SYM
ijassa-1381	311	16	hdd	hdd	NOUN
ijassa-1381	311	17	(	(	PUNCT
ijassa-1381	311	18	train	train	NOUN
ijassa-1381	311	19	)	)	PUNCT
ijassa-1381	311	20	inf	inf	PROPN
ijassa-1381	311	21	.	.	PROPN
ijassa-1381	311	22	time	time	PROPN
ijassa-1381	311	23	ram	ram	PROPN
ijassa-1381	311	24	/	/	SYM
ijassa-1381	311	25	hdd	hdd	NOUN
ijassa-1381	311	26	(	(	PUNCT
ijassa-1381	311	27	inf	inf	NOUN
ijassa-1381	311	28	.	.	PUNCT
ijassa-1381	311	29	)	)	PUNCT
ijassa-1381	312	1	bert	bert	PROPN
ijassa-1381	312	2	-	-	PUNCT
ijassa-1381	312	3	based	base	VERB
ijassa-1381	312	4	&	&	CCONJ
ijassa-1381	312	5	active	active	ADJ
ijassa-1381	312	6	learning	learn	VERB
ijassa-1381	312	7	73.10	73.10	NUM
ijassa-1381	312	8	2	2	NUM
ijassa-1381	312	9	hour(s	hour(s	NOUN
ijassa-1381	312	10	)	)	PUNCT
ijassa-1381	312	11	15/32	15/32	NUM
ijassa-1381	312	12	gb	gb	ADP
ijassa-1381	312	13	0.50	0.50	NUM
ijassa-1381	312	14	sec	sec	PROPN
ijassa-1381	312	15	5/8	5/8	NUM
ijassa-1381	312	16	gb	gb	NOUN
ijassa-1381	312	17	bert	bert	NOUN
ijassa-1381	312	18	-	-	PUNCT
ijassa-1381	312	19	based	base	VERB
ijassa-1381	312	20	classifier	classifier	NOUN
ijassa-1381	312	21	69.17	69.17	NUM
ijassa-1381	312	22	0.4	0.4	NUM
ijassa-1381	312	23	hour(s	hour(s	NOUN
ijassa-1381	312	24	)	)	PUNCT
ijassa-1381	312	25	15/32	15/32	NUM
ijassa-1381	312	26	gb	gb	ADP
ijassa-1381	312	27	0.50	0.50	NUM
ijassa-1381	312	28	sec	sec	PROPN
ijassa-1381	312	29	5/8	5/8	NUM
ijassa-1381	312	30	gb	gb	ADP
ijassa-1381	312	31	logistic	logistic	ADJ
ijassa-1381	312	32	regression	regression	NOUN
ijassa-1381	312	33	56.14	56.14	NUM
ijassa-1381	312	34	0.1	0.1	NUM
ijassa-1381	312	35	hour(s	hour(s	NOUN
ijassa-1381	312	36	)	)	PUNCT
ijassa-1381	312	37	5/32	5/32	NUM
ijassa-1381	312	38	gb	gb	ADP
ijassa-1381	312	39	0.25	0.25	NUM
ijassa-1381	312	40	sec	sec	PROPN
ijassa-1381	312	41	3/8	3/8	NUM
ijassa-1381	312	42	gb	gb	ADP
ijassa-1381	312	43	xgb	xgb	NOUN
ijassa-1381	312	44	51.83	51.83	NUM
ijassa-1381	312	45	0.1	0.1	NUM
ijassa-1381	312	46	hour(s	hour(s	NOUN
ijassa-1381	312	47	)	)	PUNCT
ijassa-1381	312	48	15/32	15/32	NUM
ijassa-1381	312	49	gb	gb	ADP
ijassa-1381	312	50	0.25	0.25	NUM
ijassa-1381	312	51	sec	sec	PROPN
ijassa-1381	312	52	5/8	5/8	NUM
ijassa-1381	312	53	gb	gb	NOUN
ijassa-1381	312	54	gradient	gradient	NOUN
ijassa-1381	312	55	boosting	boost	VERB
ijassa-1381	312	56	48.21	48.21	NUM
ijassa-1381	312	57	0.1	0.1	NUM
ijassa-1381	312	58	hour(s	hour(s	NOUN
ijassa-1381	312	59	)	)	PUNCT
ijassa-1381	312	60	15/32	15/32	NUM
ijassa-1381	312	61	gb	gb	ADP
ijassa-1381	312	62	0.25	0.25	NUM
ijassa-1381	312	63	sec	sec	PROPN
ijassa-1381	312	64	5/8	5/8	NUM
ijassa-1381	312	65	gb	gb	NOUN
ijassa-1381	312	66	copyright	copyright	NOUN
ijassa-1381	312	67	©	©	PROPN
ijassa-1381	312	68	2023	2023	NUM
ijassa-1381	312	69	assa	assa	NOUN
ijassa-1381	312	70	.	.	PUNCT
ijassa-1381	313	1	adv	adv	PROPN
ijassa-1381	313	2	syst	syst	PROPN
ijassa-1381	313	3	sci	sci	PROPN
ijassa-1381	313	4	appl	appl	PROPN
ijassa-1381	313	5	(	(	PUNCT
ijassa-1381	313	6	2023	2023	NUM
ijassa-1381	313	7	)	)	PUNCT
ijassa-1381	313	8	assa	assa	NOUN
ijassa-1381	313	9	latex	latex	NOUN
ijassa-1381	313	10	template	template	NOUN
ijassa-1381	313	11	123	123	NUM
ijassa-1381	313	12	7.1	7.1	NUM
ijassa-1381	313	13	.	.	PUNCT
ijassa-1381	314	1	active	active	ADJ
ijassa-1381	314	2	learning	learn	VERB
ijassa-1381	314	3	the	the	DET
ijassa-1381	314	4	precision	precision	NOUN
ijassa-1381	314	5	score	score	NOUN
ijassa-1381	314	6	of	of	ADP
ijassa-1381	314	7	different	different	ADJ
ijassa-1381	314	8	classifiers	classifier	NOUN
ijassa-1381	314	9	and	and	CCONJ
ijassa-1381	314	10	bert	bert	NOUN
ijassa-1381	314	11	-	-	PUNCT
ijassa-1381	314	12	based	base	VERB
ijassa-1381	314	13	models	model	NOUN
ijassa-1381	314	14	were	be	AUX
ijassa-1381	314	15	presented	present	VERB
ijassa-1381	314	16	in	in	ADP
ijassa-1381	314	17	tables	table	NOUN
ijassa-1381	314	18	7.8	7.8	NUM
ijassa-1381	314	19	and	and	CCONJ
ijassa-1381	314	20	7.9	7.9	NUM
ijassa-1381	314	21	,	,	PUNCT
ijassa-1381	314	22	with	with	ADP
ijassa-1381	314	23	the	the	DET
ijassa-1381	314	24	bert	bert	NOUN
ijassa-1381	314	25	-	-	PUNCT
ijassa-1381	314	26	based	base	VERB
ijassa-1381	314	27	model	model	NOUN
ijassa-1381	314	28	first	first	ADV
ijassa-1381	314	29	trained	train	VERB
ijassa-1381	314	30	in	in	ADP
ijassa-1381	314	31	the	the	DET
ijassa-1381	314	32	pretrain	pretrain	NOUN
ijassa-1381	314	33	part	part	NOUN
ijassa-1381	314	34	of	of	ADP
ijassa-1381	314	35	active	active	ADJ
ijassa-1381	314	36	learning	learning	NOUN
ijassa-1381	314	37	followed	follow	VERB
ijassa-1381	314	38	by	by	ADP
ijassa-1381	314	39	the	the	DET
ijassa-1381	314	40	cycle	cycle	NOUN
ijassa-1381	314	41	part	part	NOUN
ijassa-1381	314	42	.	.	PUNCT
ijassa-1381	315	1	the	the	DET
ijassa-1381	315	2	study	study	NOUN
ijassa-1381	315	3	found	find	VERB
ijassa-1381	315	4	that	that	SCONJ
ijassa-1381	315	5	active	active	ADJ
ijassa-1381	315	6	learning	learning	NOUN
ijassa-1381	315	7	increased	increase	VERB
ijassa-1381	315	8	accuracy	accuracy	NOUN
ijassa-1381	315	9	by	by	ADP
ijassa-1381	315	10	3–4	3–4	NUM
ijassa-1381	315	11	%	%	NOUN
ijassa-1381	315	12	on	on	ADP
ijassa-1381	315	13	small	small	ADJ
ijassa-1381	315	14	datasets	dataset	NOUN
ijassa-1381	315	15	on	on	ADP
ijassa-1381	315	16	average	average	ADJ
ijassa-1381	315	17	.	.	PUNCT
ijassa-1381	316	1	the	the	DET
ijassa-1381	316	2	parameters	parameter	NOUN
ijassa-1381	316	3	values	value	NOUN
ijassa-1381	316	4	initialized	initialize	VERB
ijassa-1381	316	5	for	for	ADP
ijassa-1381	316	6	the	the	DET
ijassa-1381	316	7	bert	bert	NOUN
ijassa-1381	316	8	-	-	PUNCT
ijassa-1381	316	9	based	base	VERB
ijassa-1381	316	10	model	model	NOUN
ijassa-1381	316	11	and	and	CCONJ
ijassa-1381	316	12	active	active	ADJ
ijassa-1381	316	13	learning	learning	NOUN
ijassa-1381	316	14	are	be	AUX
ijassa-1381	316	15	presented	present	VERB
ijassa-1381	316	16	in	in	ADP
ijassa-1381	316	17	source	source	NOUN
ijassa-1381	316	18	notebook	notebook	NOUN
ijassa-1381	316	19	on	on	ADP
ijassa-1381	316	20	platform	platform	NOUN
ijassa-1381	316	21	kaggle	kaggle	VERB
ijassa-1381	316	22	[	[	X
ijassa-1381	316	23	23	23	NUM
ijassa-1381	316	24	]	]	PUNCT
ijassa-1381	316	25	.	.	PUNCT
ijassa-1381	317	1	table	table	NOUN
ijassa-1381	317	2	7.9	7.9	NUM
ijassa-1381	317	3	.	.	PUNCT
ijassa-1381	318	1	performance	performance	NOUN
ijassa-1381	318	2	evaluation	evaluation	NOUN
ijassa-1381	318	3	and	and	CCONJ
ijassa-1381	318	4	resource	resource	NOUN
ijassa-1381	318	5	utilization	utilization	NOUN
ijassa-1381	318	6	of	of	ADP
ijassa-1381	318	7	different	different	ADJ
ijassa-1381	318	8	classifiers	classifier	NOUN
ijassa-1381	318	9	model	model	NOUN
ijassa-1381	318	10	precision	precision	NOUN
ijassa-1381	318	11	score	score	NOUN
ijassa-1381	318	12	training	training	NOUN
ijassa-1381	318	13	time	time	NOUN
ijassa-1381	319	1	xlm	xlm	ADP
ijassa-1381	319	2	roberta	roberta	PROPN
ijassa-1381	319	3	large	large	ADJ
ijassa-1381	319	4	with	with	ADP
ijassa-1381	319	5	active	active	ADJ
ijassa-1381	319	6	learning	learning	NOUN
ijassa-1381	319	7	73.10	73.10	NUM
ijassa-1381	319	8	2	2	NUM
ijassa-1381	319	9	hrs	hrs	NOUN
ijassa-1381	319	10	xlm	xlm	PROPN
ijassa-1381	320	1	roberta	roberta	PROPN
ijassa-1381	320	2	large	large	ADJ
ijassa-1381	320	3	69.17	69.17	NUM
ijassa-1381	320	4	0.4	0.4	NUM
ijassa-1381	320	5	hrs	hrs	NOUN
ijassa-1381	320	6	ruroberta	ruroberta	NOUN
ijassa-1381	320	7	65.23	65.23	NUM
ijassa-1381	320	8	0.1	0.1	NUM
ijassa-1381	320	9	hrs	hrs	NOUN
ijassa-1381	320	10	roberta	roberta	PROPN
ijassa-1381	320	11	63.58	63.58	NUM
ijassa-1381	320	12	0.1	0.1	NUM
ijassa-1381	320	13	hrs	hrs	NOUN
ijassa-1381	320	14	gpt	gpt	NOUN
ijassa-1381	320	15	62.76	62.76	NUM
ijassa-1381	320	16	0.2	0.2	NUM
ijassa-1381	320	17	hrs	hrs	NOUN
ijassa-1381	320	18	distillbert	distillbert	NOUN
ijassa-1381	320	19	57.33	57.33	NUM
ijassa-1381	320	20	0.2	0.2	NUM
ijassa-1381	320	21	hrs	hrs	NOUN
ijassa-1381	320	22	rubert	rubert	ADJ
ijassa-1381	320	23	52.40	52.40	NUM
ijassa-1381	320	24	0.1	0.1	NUM
ijassa-1381	320	25	hrs	hrs	NOUN
ijassa-1381	320	26	bert	bert	PROPN
ijassa-1381	320	27	large	large	ADJ
ijassa-1381	320	28	uncased	uncased	ADJ
ijassa-1381	320	29	41.72	41.72	NUM
ijassa-1381	320	30	0.1	0.1	NUM
ijassa-1381	320	31	hrs	hrs	NOUN
ijassa-1381	320	32	8	8	NUM
ijassa-1381	320	33	.	.	PUNCT
ijassa-1381	321	1	conclusion	conclusion	NOUN
ijassa-1381	321	2	this	this	DET
ijassa-1381	321	3	study	study	NOUN
ijassa-1381	321	4	analyzes	analyze	VERB
ijassa-1381	321	5	the	the	DET
ijassa-1381	321	6	opinion	opinion	NOUN
ijassa-1381	321	7	of	of	ADP
ijassa-1381	321	8	russian	russian	ADJ
ijassa-1381	321	9	individuals	individual	NOUN
ijassa-1381	321	10	towards	towards	ADP
ijassa-1381	321	11	various	various	ADJ
ijassa-1381	321	12	covid-19	covid-19	PROPN
ijassa-1381	321	13	vaccines	vaccine	NOUN
ijassa-1381	321	14	.	.	PUNCT
ijassa-1381	322	1	vk	vk	ADP
ijassa-1381	322	2	platform	platform	NOUN
ijassa-1381	322	3	data	datum	NOUN
ijassa-1381	322	4	was	be	AUX
ijassa-1381	322	5	collected	collect	VERB
ijassa-1381	322	6	as	as	ADP
ijassa-1381	322	7	a	a	DET
ijassa-1381	322	8	sample	sample	NOUN
ijassa-1381	322	9	for	for	ADP
ijassa-1381	322	10	analysis	analysis	NOUN
ijassa-1381	322	11	.	.	PUNCT
ijassa-1381	323	1	the	the	DET
ijassa-1381	323	2	raw	raw	ADJ
ijassa-1381	323	3	text	text	NOUN
ijassa-1381	323	4	messages	message	NOUN
ijassa-1381	323	5	received	receive	VERB
ijassa-1381	323	6	several	several	ADJ
ijassa-1381	323	7	natural	natural	ADJ
ijassa-1381	323	8	language	language	NOUN
ijassa-1381	323	9	processing	processing	NOUN
ijassa-1381	323	10	operations	operation	NOUN
ijassa-1381	323	11	for	for	ADP
ijassa-1381	323	12	text	text	NOUN
ijassa-1381	323	13	preprocessing	preprocessing	NOUN
ijassa-1381	323	14	.	.	PUNCT
ijassa-1381	324	1	the	the	DET
ijassa-1381	324	2	opinion	opinion	NOUN
ijassa-1381	324	3	analysis	analysis	NOUN
ijassa-1381	324	4	classified	classify	VERB
ijassa-1381	324	5	41.69	41.69	NUM
ijassa-1381	324	6	%	%	NOUN
ijassa-1381	324	7	,	,	PUNCT
ijassa-1381	324	8	39.87	39.87	NUM
ijassa-1381	324	9	%	%	NOUN
ijassa-1381	324	10	,	,	PUNCT
ijassa-1381	324	11	and	and	CCONJ
ijassa-1381	324	12	18.44	18.44	NUM
ijassa-1381	324	13	%	%	NOUN
ijassa-1381	324	14	of	of	ADP
ijassa-1381	324	15	commentaries	commentary	NOUN
ijassa-1381	324	16	as	as	ADP
ijassa-1381	324	17	neutral	neutral	ADJ
ijassa-1381	324	18	/	/	SYM
ijassa-1381	324	19	unknown	unknown	ADJ
ijassa-1381	324	20	,	,	PUNCT
ijassa-1381	324	21	positive	positive	ADJ
ijassa-1381	324	22	,	,	PUNCT
ijassa-1381	324	23	and	and	CCONJ
ijassa-1381	324	24	negative	negative	ADJ
ijassa-1381	324	25	,	,	PUNCT
ijassa-1381	324	26	respectively	respectively	ADV
ijassa-1381	324	27	.	.	PUNCT
ijassa-1381	325	1	to	to	PART
ijassa-1381	325	2	classify	classify	VERB
ijassa-1381	325	3	the	the	DET
ijassa-1381	325	4	opinion	opinion	NOUN
ijassa-1381	325	5	,	,	PUNCT
ijassa-1381	325	6	a	a	DET
ijassa-1381	325	7	proposed	propose	VERB
ijassa-1381	325	8	bert	bert	NOUN
ijassa-1381	325	9	-	-	PUNCT
ijassa-1381	325	10	based	base	VERB
ijassa-1381	325	11	model	model	NOUN
ijassa-1381	325	12	with	with	ADP
ijassa-1381	325	13	active	active	ADJ
ijassa-1381	325	14	learning	learning	NOUN
ijassa-1381	325	15	was	be	AUX
ijassa-1381	325	16	used	use	VERB
ijassa-1381	325	17	,	,	PUNCT
ijassa-1381	325	18	achieving	achieve	VERB
ijassa-1381	325	19	a	a	DET
ijassa-1381	325	20	precision	precision	NOUN
ijassa-1381	325	21	of	of	ADP
ijassa-1381	325	22	73.10	73.10	NUM
ijassa-1381	325	23	%	%	NOUN
ijassa-1381	325	24	.	.	PUNCT
ijassa-1381	326	1	the	the	DET
ijassa-1381	326	2	results	result	NOUN
ijassa-1381	326	3	indicate	indicate	VERB
ijassa-1381	326	4	that	that	SCONJ
ijassa-1381	326	5	active	active	ADJ
ijassa-1381	326	6	learning	learning	NOUN
ijassa-1381	326	7	can	can	AUX
ijassa-1381	326	8	improve	improve	VERB
ijassa-1381	326	9	precision	precision	NOUN
ijassa-1381	326	10	by	by	ADP
ijassa-1381	326	11	3–4	3–4	NUM
ijassa-1381	326	12	%	%	NOUN
ijassa-1381	326	13	on	on	ADP
ijassa-1381	326	14	small	small	ADJ
ijassa-1381	326	15	datasets	dataset	NOUN
ijassa-1381	326	16	.	.	PUNCT
ijassa-1381	327	1	future	future	ADJ
ijassa-1381	327	2	work	work	NOUN
ijassa-1381	327	3	will	will	AUX
ijassa-1381	327	4	involve	involve	VERB
ijassa-1381	327	5	usage	usage	NOUN
ijassa-1381	327	6	of	of	ADP
ijassa-1381	327	7	graph	graph	NOUN
ijassa-1381	327	8	neural	neural	ADJ
ijassa-1381	327	9	networks	network	NOUN
ijassa-1381	327	10	(	(	PUNCT
ijassa-1381	327	11	gnn	gnn	NOUN
ijassa-1381	327	12	)	)	PUNCT
ijassa-1381	327	13	and	and	CCONJ
ijassa-1381	327	14	all	all	DET
ijassa-1381	327	15	available	available	ADJ
ijassa-1381	327	16	data	datum	NOUN
ijassa-1381	327	17	,	,	PUNCT
ijassa-1381	327	18	including	include	VERB
ijassa-1381	327	19	user	user	NOUN
ijassa-1381	327	20	subscriptions	subscription	NOUN
ijassa-1381	327	21	[	[	X
ijassa-1381	327	22	4	4	NUM
ijassa-1381	327	23	,	,	PUNCT
ijassa-1381	327	24	28	28	NUM
ijassa-1381	327	25	,	,	PUNCT
ijassa-1381	327	26	37	37	NUM
ijassa-1381	327	27	]	]	PUNCT
ijassa-1381	327	28	.	.	PUNCT
ijassa-1381	328	1	the	the	DET
ijassa-1381	328	2	majority	majority	NOUN
ijassa-1381	328	3	of	of	ADP
ijassa-1381	328	4	people	people	NOUN
ijassa-1381	328	5	’s	’s	PART
ijassa-1381	328	6	opinions	opinion	NOUN
ijassa-1381	328	7	on	on	ADP
ijassa-1381	328	8	social	social	ADJ
ijassa-1381	328	9	media	medium	NOUN
ijassa-1381	328	10	regarding	regard	VERB
ijassa-1381	328	11	vaccinations	vaccination	NOUN
ijassa-1381	328	12	and	and	CCONJ
ijassa-1381	328	13	their	their	PRON
ijassa-1381	328	14	effects	effect	NOUN
ijassa-1381	328	15	are	be	AUX
ijassa-1381	328	16	neutral	neutral	ADJ
ijassa-1381	328	17	or	or	CCONJ
ijassa-1381	328	18	unknown	unknown	ADJ
ijassa-1381	328	19	.	.	PUNCT
ijassa-1381	329	1	however	however	ADV
ijassa-1381	329	2	,	,	PUNCT
ijassa-1381	329	3	only	only	ADV
ijassa-1381	329	4	39.87	39.87	NUM
ijassa-1381	329	5	%	%	NOUN
ijassa-1381	329	6	of	of	ADP
ijassa-1381	329	7	people	people	NOUN
ijassa-1381	329	8	are	be	AUX
ijassa-1381	329	9	optimistic	optimistic	ADJ
ijassa-1381	329	10	,	,	PUNCT
ijassa-1381	329	11	which	which	PRON
ijassa-1381	329	12	is	be	AUX
ijassa-1381	329	13	a	a	DET
ijassa-1381	329	14	worrying	worrying	ADJ
ijassa-1381	329	15	situation	situation	NOUN
ijassa-1381	329	16	for	for	ADP
ijassa-1381	329	17	policymakers	policymaker	NOUN
ijassa-1381	329	18	and	and	CCONJ
ijassa-1381	329	19	the	the	DET
ijassa-1381	329	20	government	government	NOUN
ijassa-1381	329	21	[	[	X
ijassa-1381	329	22	8	8	NUM
ijassa-1381	329	23	]	]	PUNCT
ijassa-1381	329	24	.	.	PUNCT
ijassa-1381	330	1	in	in	ADP
ijassa-1381	330	2	order	order	NOUN
ijassa-1381	330	3	to	to	PART
ijassa-1381	330	4	make	make	VERB
ijassa-1381	330	5	the	the	DET
ijassa-1381	330	6	vaccination	vaccination	NOUN
ijassa-1381	330	7	program	program	NOUN
ijassa-1381	330	8	effective	effective	ADJ
ijassa-1381	330	9	,	,	PUNCT
ijassa-1381	330	10	the	the	DET
ijassa-1381	330	11	government	government	NOUN
ijassa-1381	330	12	must	must	AUX
ijassa-1381	330	13	convince	convince	VERB
ijassa-1381	330	14	the	the	DET
ijassa-1381	330	15	majority	majority	NOUN
ijassa-1381	330	16	of	of	ADP
ijassa-1381	330	17	the	the	DET
ijassa-1381	330	18	population	population	NOUN
ijassa-1381	330	19	that	that	PRON
ijassa-1381	330	20	the	the	DET
ijassa-1381	330	21	vaccine	vaccine	NOUN
ijassa-1381	330	22	will	will	AUX
ijassa-1381	330	23	have	have	VERB
ijassa-1381	330	24	positive	positive	ADJ
ijassa-1381	330	25	outcomes	outcome	NOUN
ijassa-1381	330	26	and	and	CCONJ
ijassa-1381	330	27	consequences	consequence	NOUN
ijassa-1381	330	28	[	[	X
ijassa-1381	330	29	30	30	NUM
ijassa-1381	330	30	,	,	PUNCT
ijassa-1381	330	31	31	31	NUM
ijassa-1381	330	32	]	]	PUNCT
ijassa-1381	330	33	.	.	PUNCT
ijassa-1381	331	1	therefore	therefore	ADV
ijassa-1381	331	2	,	,	PUNCT
ijassa-1381	331	3	policymakers	policymaker	NOUN
ijassa-1381	331	4	and	and	CCONJ
ijassa-1381	331	5	the	the	DET
ijassa-1381	331	6	government	government	NOUN
ijassa-1381	331	7	should	should	AUX
ijassa-1381	331	8	focus	focus	VERB
ijassa-1381	331	9	on	on	ADP
ijassa-1381	331	10	reducing	reduce	VERB
ijassa-1381	331	11	vaccine	vaccine	NOUN
ijassa-1381	331	12	anxiety	anxiety	NOUN
ijassa-1381	331	13	before	before	ADP
ijassa-1381	331	14	starting	start	VERB
ijassa-1381	331	15	mass	mass	NOUN
ijassa-1381	331	16	vaccination	vaccination	NOUN
ijassa-1381	331	17	.	.	PUNCT
ijassa-1381	332	1	according	accord	VERB
ijassa-1381	332	2	to	to	ADP
ijassa-1381	332	3	recent	recent	ADJ
ijassa-1381	332	4	research	research	NOUN
ijassa-1381	332	5	,	,	PUNCT
ijassa-1381	332	6	although	although	SCONJ
ijassa-1381	332	7	approximately	approximately	ADV
ijassa-1381	332	8	22	22	NUM
ijassa-1381	332	9	million	million	NUM
ijassa-1381	332	10	russians	russians	PROPN
ijassa-1381	332	11	have	have	AUX
ijassa-1381	332	12	been	be	AUX
ijassa-1381	332	13	infected	infect	VERB
ijassa-1381	332	14	with	with	ADP
ijassa-1381	332	15	covid-19	covid-19	PROPN
ijassa-1381	332	16	,	,	PUNCT
ijassa-1381	332	17	a	a	DET
ijassa-1381	332	18	significant	significant	ADJ
ijassa-1381	332	19	proportion	proportion	NOUN
ijassa-1381	332	20	of	of	ADP
ijassa-1381	332	21	the	the	DET
ijassa-1381	332	22	population	population	NOUN
ijassa-1381	332	23	still	still	ADV
ijassa-1381	332	24	believes	believe	VERB
ijassa-1381	332	25	that	that	SCONJ
ijassa-1381	332	26	the	the	DET
ijassa-1381	332	27	pandemic	pandemic	NOUN
ijassa-1381	332	28	has	have	AUX
ijassa-1381	332	29	been	be	AUX
ijassa-1381	332	30	exaggerated	exaggerate	VERB
ijassa-1381	332	31	,	,	PUNCT
ijassa-1381	332	32	based	base	VERB
ijassa-1381	332	33	on	on	ADP
ijassa-1381	332	34	our	our	PRON
ijassa-1381	332	35	research	research	NOUN
ijassa-1381	332	36	[	[	X
ijassa-1381	332	37	22	22	NUM
ijassa-1381	332	38	,	,	PUNCT
ijassa-1381	332	39	32	32	NUM
ijassa-1381	332	40	]	]	PUNCT
ijassa-1381	332	41	.	.	PUNCT
ijassa-1381	333	1	this	this	PRON
ijassa-1381	333	2	has	have	AUX
ijassa-1381	333	3	led	lead	VERB
ijassa-1381	333	4	to	to	ADP
ijassa-1381	333	5	skepticism	skepticism	NOUN
ijassa-1381	333	6	and	and	CCONJ
ijassa-1381	333	7	opposition	opposition	NOUN
ijassa-1381	333	8	towards	towards	ADP
ijassa-1381	333	9	the	the	DET
ijassa-1381	333	10	covid-19	covid-19	PROPN
ijassa-1381	333	11	vaccine	vaccine	NOUN
ijassa-1381	333	12	,	,	PUNCT
ijassa-1381	333	13	driven	drive	VERB
ijassa-1381	333	14	by	by	ADP
ijassa-1381	333	15	concerns	concern	NOUN
ijassa-1381	333	16	such	such	ADJ
ijassa-1381	333	17	as	as	ADP
ijassa-1381	333	18	vaccine	vaccine	NOUN
ijassa-1381	333	19	safety	safety	NOUN
ijassa-1381	333	20	,	,	PUNCT
ijassa-1381	333	21	skepticism	skepticism	NOUN
ijassa-1381	333	22	towards	towards	ADP
ijassa-1381	333	23	pharmaceutical	pharmaceutical	ADJ
ijassa-1381	333	24	companies	company	NOUN
ijassa-1381	333	25	,	,	PUNCT
ijassa-1381	333	26	and	and	CCONJ
ijassa-1381	333	27	questions	question	NOUN
ijassa-1381	333	28	about	about	ADP
ijassa-1381	333	29	the	the	DET
ijassa-1381	333	30	effectiveness	effectiveness	NOUN
ijassa-1381	333	31	of	of	ADP
ijassa-1381	333	32	the	the	DET
ijassa-1381	333	33	vaccines	vaccine	NOUN
ijassa-1381	333	34	available	available	ADJ
ijassa-1381	333	35	[	[	X
ijassa-1381	333	36	33	33	NUM
ijassa-1381	333	37	,	,	PUNCT
ijassa-1381	333	38	34	34	NUM
ijassa-1381	333	39	]	]	PUNCT
ijassa-1381	333	40	.	.	PUNCT
ijassa-1381	334	1	despite	despite	SCONJ
ijassa-1381	334	2	legitimate	legitimate	ADJ
ijassa-1381	334	3	doubts	doubt	NOUN
ijassa-1381	334	4	,	,	PUNCT
ijassa-1381	334	5	some	some	DET
ijassa-1381	334	6	unfounded	unfounded	ADJ
ijassa-1381	334	7	conspiracy	conspiracy	NOUN
ijassa-1381	334	8	theories	theory	NOUN
ijassa-1381	334	9	surrounding	surround	VERB
ijassa-1381	334	10	the	the	DET
ijassa-1381	334	11	virus	virus	NOUN
ijassa-1381	334	12	have	have	AUX
ijassa-1381	334	13	been	be	AUX
ijassa-1381	334	14	dispelled	dispel	VERB
ijassa-1381	334	15	.	.	PUNCT
ijassa-1381	335	1	the	the	DET
ijassa-1381	335	2	government	government	NOUN
ijassa-1381	335	3	,	,	PUNCT
ijassa-1381	335	4	pharmaceutical	pharmaceutical	ADJ
ijassa-1381	335	5	companies	company	NOUN
ijassa-1381	335	6	,	,	PUNCT
ijassa-1381	335	7	and	and	CCONJ
ijassa-1381	335	8	non	non	ADJ
ijassa-1381	335	9	-	-	ADJ
ijassa-1381	335	10	governmental	governmental	ADJ
ijassa-1381	335	11	organizations	organization	NOUN
ijassa-1381	335	12	(	(	PUNCT
ijassa-1381	335	13	ngos	ngo	NOUN
ijassa-1381	335	14	)	)	PUNCT
ijassa-1381	335	15	should	should	AUX
ijassa-1381	335	16	make	make	VERB
ijassa-1381	335	17	a	a	DET
ijassa-1381	335	18	significant	significant	ADJ
ijassa-1381	335	19	effort	effort	NOUN
ijassa-1381	335	20	to	to	PART
ijassa-1381	335	21	educate	educate	VERB
ijassa-1381	335	22	the	the	DET
ijassa-1381	335	23	general	general	ADJ
ijassa-1381	335	24	public	public	NOUN
ijassa-1381	335	25	about	about	ADP
ijassa-1381	335	26	the	the	DET
ijassa-1381	335	27	vaccine	vaccine	NOUN
ijassa-1381	335	28	program	program	NOUN
ijassa-1381	335	29	and	and	CCONJ
ijassa-1381	335	30	the	the	DET
ijassa-1381	335	31	importance	importance	NOUN
ijassa-1381	335	32	of	of	ADP
ijassa-1381	335	33	returning	return	VERB
ijassa-1381	335	34	to	to	ADP
ijassa-1381	335	35	normal	normal	ADJ
ijassa-1381	335	36	life	life	NOUN
ijassa-1381	335	37	.	.	PUNCT
ijassa-1381	336	1	special	special	ADJ
ijassa-1381	336	2	attention	attention	NOUN
ijassa-1381	336	3	should	should	AUX
ijassa-1381	336	4	be	be	AUX
ijassa-1381	336	5	paid	pay	VERB
ijassa-1381	336	6	to	to	ADP
ijassa-1381	336	7	addressing	address	VERB
ijassa-1381	336	8	people	people	NOUN
ijassa-1381	336	9	’s	’s	PART
ijassa-1381	336	10	fears	fear	NOUN
ijassa-1381	336	11	and	and	CCONJ
ijassa-1381	336	12	misconceptions	misconception	NOUN
ijassa-1381	336	13	about	about	ADP
ijassa-1381	336	14	the	the	DET
ijassa-1381	336	15	vaccine	vaccine	NOUN
ijassa-1381	336	16	to	to	PART
ijassa-1381	336	17	encourage	encourage	VERB
ijassa-1381	336	18	vaccine	vaccine	NOUN
ijassa-1381	336	19	uptake	uptake	ADJ
ijassa-1381	336	20	.	.	PUNCT
ijassa-1381	337	1	using	use	VERB
ijassa-1381	337	2	various	various	ADJ
ijassa-1381	337	3	models	model	NOUN
ijassa-1381	337	4	such	such	ADJ
ijassa-1381	337	5	as	as	ADP
ijassa-1381	337	6	logistic	logistic	ADJ
ijassa-1381	337	7	regression	regression	NOUN
ijassa-1381	337	8	,	,	PUNCT
ijassa-1381	337	9	gradient	gradient	NOUN
ijassa-1381	337	10	boosting	boosting	NOUN
ijassa-1381	337	11	,	,	PUNCT
ijassa-1381	337	12	xgb	xgb	NUM
ijassa-1381	337	13	,	,	PUNCT
ijassa-1381	337	14	and	and	CCONJ
ijassa-1381	337	15	bertbased	bertbase	VERB
ijassa-1381	337	16	models	model	NOUN
ijassa-1381	337	17	with	with	ADP
ijassa-1381	337	18	active	active	ADJ
ijassa-1381	337	19	learning	learning	NOUN
ijassa-1381	337	20	,	,	PUNCT
ijassa-1381	337	21	the	the	DET
ijassa-1381	337	22	research	research	NOUN
ijassa-1381	337	23	categorizes	categorize	VERB
ijassa-1381	337	24	people	people	NOUN
ijassa-1381	337	25	’s	’s	PART
ijassa-1381	337	26	feelings	feeling	NOUN
ijassa-1381	337	27	towards	towards	ADP
ijassa-1381	337	28	the	the	DET
ijassa-1381	337	29	vaccine	vaccine	NOUN
ijassa-1381	337	30	as	as	ADP
ijassa-1381	337	31	positive	positive	ADJ
ijassa-1381	337	32	,	,	PUNCT
ijassa-1381	337	33	neutral	neutral	ADJ
ijassa-1381	337	34	/	/	SYM
ijassa-1381	337	35	unknown	unknown	ADJ
ijassa-1381	337	36	,	,	PUNCT
ijassa-1381	337	37	or	or	CCONJ
ijassa-1381	337	38	negative	negative	ADJ
ijassa-1381	337	39	.	.	PUNCT
ijassa-1381	338	1	the	the	DET
ijassa-1381	338	2	proposed	propose	VERB
ijassa-1381	338	3	bert	bert	NOUN
ijassa-1381	338	4	-	-	PUNCT
ijassa-1381	338	5	based	base	VERB
ijassa-1381	338	6	model	model	NOUN
ijassa-1381	338	7	achieved	achieve	VERB
ijassa-1381	338	8	73.10	73.10	NUM
ijassa-1381	338	9	%	%	NOUN
ijassa-1381	338	10	accuracy	accuracy	NOUN
ijassa-1381	338	11	,	,	PUNCT
ijassa-1381	338	12	outperforming	outperform	VERB
ijassa-1381	338	13	other	other	ADJ
ijassa-1381	338	14	classifiers	classifier	NOUN
ijassa-1381	338	15	in	in	ADP
ijassa-1381	338	16	terms	term	NOUN
ijassa-1381	338	17	of	of	ADP
ijassa-1381	338	18	classification	classification	NOUN
ijassa-1381	338	19	accuracy	accuracy	NOUN
ijassa-1381	338	20	[	[	X
ijassa-1381	338	21	21	21	NUM
ijassa-1381	338	22	]	]	PUNCT
ijassa-1381	338	23	.	.	PUNCT
ijassa-1381	339	1	an	an	DET
ijassa-1381	339	2	analysis	analysis	NOUN
ijassa-1381	339	3	was	be	AUX
ijassa-1381	339	4	also	also	ADV
ijassa-1381	339	5	conducted	conduct	VERB
ijassa-1381	339	6	to	to	PART
ijassa-1381	339	7	identify	identify	VERB
ijassa-1381	339	8	the	the	DET
ijassa-1381	339	9	dynamics	dynamic	NOUN
ijassa-1381	339	10	of	of	ADP
ijassa-1381	339	11	opinions	opinion	NOUN
ijassa-1381	339	12	.	.	PUNCT
ijassa-1381	340	1	the	the	DET
ijassa-1381	340	2	predicted	predict	VERB
ijassa-1381	340	3	opinions	opinion	NOUN
ijassa-1381	340	4	are	be	AUX
ijassa-1381	340	5	moving	move	VERB
ijassa-1381	340	6	towards	towards	ADP
ijassa-1381	340	7	the	the	DET
ijassa-1381	340	8	negative	negative	ADJ
ijassa-1381	340	9	side	side	NOUN
ijassa-1381	340	10	,	,	PUNCT
ijassa-1381	340	11	indicating	indicate	VERB
ijassa-1381	340	12	that	that	SCONJ
ijassa-1381	340	13	,	,	PUNCT
ijassa-1381	340	14	without	without	ADP
ijassa-1381	340	15	any	any	DET
ijassa-1381	340	16	new	new	ADJ
ijassa-1381	340	17	external	external	ADJ
ijassa-1381	340	18	factors	factor	NOUN
ijassa-1381	340	19	,	,	PUNCT
ijassa-1381	340	20	people	people	NOUN
ijassa-1381	340	21	’s	’s	PART
ijassa-1381	340	22	opinions	opinion	NOUN
ijassa-1381	340	23	about	about	ADP
ijassa-1381	340	24	vaccines	vaccine	NOUN
ijassa-1381	340	25	are	be	AUX
ijassa-1381	340	26	deteriorating	deteriorate	VERB
ijassa-1381	340	27	under	under	ADP
ijassa-1381	340	28	the	the	DET
ijassa-1381	340	29	same	same	ADJ
ijassa-1381	340	30	news	news	NOUN
ijassa-1381	340	31	background	background	NOUN
ijassa-1381	340	32	.	.	PUNCT
ijassa-1381	341	1	copyright	copyright	NOUN
ijassa-1381	341	2	©	©	PROPN
ijassa-1381	341	3	2023	2023	NUM
ijassa-1381	341	4	assa	assa	NOUN
ijassa-1381	341	5	.	.	PUNCT
ijassa-1381	342	1	adv	adv	PROPN
ijassa-1381	342	2	syst	syst	PROPN
ijassa-1381	342	3	sci	sci	PROPN
ijassa-1381	342	4	appl	appl	PROPN
ijassa-1381	342	5	(	(	PUNCT
ijassa-1381	342	6	2023	2023	NUM
ijassa-1381	342	7	)	)	PUNCT
ijassa-1381	342	8	124	124	NUM
ijassa-1381	342	9	d.	d.	PROPN
ijassa-1381	342	10	gubanov	gubanov	PROPN
ijassa-1381	342	11	,	,	PUNCT
ijassa-1381	342	12	a.	a.	NOUN
ijassa-1381	342	13	chkhartishvili	chkhartishvili	NOUN
ijassa-1381	342	14	,	,	PUNCT
ijassa-1381	342	15	v.	v.	CCONJ
ijassa-1381	342	16	melnichuk	melnichuk	PROPN
ijassa-1381	342	17	,	,	PUNCT
ijassa-1381	342	18	v.	v.	ADP
ijassa-1381	342	19	sych	sych	PROPN
ijassa-1381	342	20	acknowledgements	acknowledgement	VERB
ijassa-1381	342	21	the	the	DET
ijassa-1381	342	22	authors	author	NOUN
ijassa-1381	342	23	,	,	PUNCT
ijassa-1381	342	24	vladislav	vladislav	ADJ
ijassa-1381	342	25	melnichuk	melnichuk	NOUN
ijassa-1381	342	26	and	and	CCONJ
ijassa-1381	342	27	vladislav	vladislav	ADJ
ijassa-1381	342	28	sych	sych	PROPN
ijassa-1381	342	29	,	,	PUNCT
ijassa-1381	342	30	express	express	VERB
ijassa-1381	342	31	their	their	PRON
ijassa-1381	342	32	gratitude	gratitude	NOUN
ijassa-1381	342	33	to	to	ADP
ijassa-1381	342	34	their	their	PRON
ijassa-1381	342	35	academic	academic	ADJ
ijassa-1381	342	36	supervisors	supervisor	NOUN
ijassa-1381	342	37	,	,	PUNCT
ijassa-1381	342	38	dmitry	dmitry	PROPN
ijassa-1381	342	39	gubanov	gubanov	PROPN
ijassa-1381	342	40	and	and	CCONJ
ijassa-1381	342	41	alexander	alexander	PROPN
ijassa-1381	342	42	chkhartishvili	chkhartishvili	NOUN
ijassa-1381	342	43	,	,	PUNCT
ijassa-1381	342	44	for	for	ADP
ijassa-1381	342	45	their	their	PRON
ijassa-1381	342	46	support	support	NOUN
ijassa-1381	342	47	.	.	PUNCT
ijassa-1381	343	1	8.1	8.1	X
ijassa-1381	343	2	.	.	PUNCT
ijassa-1381	344	1	funding	funding	NOUN
ijassa-1381	344	2	information	information	NOUN
ijassa-1381	344	3	this	this	DET
ijassa-1381	344	4	research	research	NOUN
ijassa-1381	344	5	did	do	AUX
ijassa-1381	344	6	not	not	PART
ijassa-1381	344	7	receive	receive	VERB
ijassa-1381	344	8	any	any	DET
ijassa-1381	344	9	specific	specific	ADJ
ijassa-1381	344	10	grants	grant	NOUN
ijassa-1381	344	11	from	from	ADP
ijassa-1381	344	12	public	public	ADJ
ijassa-1381	344	13	,	,	PUNCT
ijassa-1381	344	14	commercial	commercial	ADJ
ijassa-1381	344	15	,	,	PUNCT
ijassa-1381	344	16	or	or	CCONJ
ijassa-1381	344	17	non	non	ADJ
ijassa-1381	344	18	-	-	ADJ
ijassa-1381	344	19	profit	profit	ADJ
ijassa-1381	344	20	funding	funding	NOUN
ijassa-1381	344	21	agencies	agency	NOUN
ijassa-1381	344	22	.	.	PUNCT
ijassa-1381	345	1	8.2	8.2	NUM
ijassa-1381	345	2	.	.	PUNCT
ijassa-1381	345	3	data	datum	NOUN
ijassa-1381	345	4	availability	availability	NOUN
ijassa-1381	345	5	statement	statement	NOUN
ijassa-1381	345	6	the	the	DET
ijassa-1381	345	7	data	datum	NOUN
ijassa-1381	345	8	can	can	AUX
ijassa-1381	345	9	be	be	AUX
ijassa-1381	345	10	viewed	view	VERB
ijassa-1381	345	11	in	in	ADP
ijassa-1381	345	12	the	the	DET
ijassa-1381	345	13	dataset	dataset	NOUN
ijassa-1381	345	14	uploaded	upload	VERB
ijassa-1381	345	15	to	to	PART
ijassa-1381	345	16	kaggle	kaggle	VERB
ijassa-1381	345	17	[	[	X
ijassa-1381	345	18	24	24	NUM
ijassa-1381	345	19	]	]	PUNCT
ijassa-1381	345	20	.	.	PUNCT
ijassa-1381	346	1	references	reference	NOUN
ijassa-1381	346	2	1	1	NUM
ijassa-1381	346	3	.	.	PUNCT
ijassa-1381	347	1	alam	alam	PROPN
ijassa-1381	347	2	k.n	k.n	PROPN
ijassa-1381	347	3	.	.	PROPN
ijassa-1381	347	4	,	,	PUNCT
ijassa-1381	347	5	khan	khan	PROPN
ijassa-1381	347	6	m.s	m.s	PROPN
ijassa-1381	347	7	.	.	PROPN
ijassa-1381	347	8	,	,	PUNCT
ijassa-1381	347	9	dhruba	dhruba	PROPN
ijassa-1381	347	10	a.r	a.r	PROPN
ijassa-1381	347	11	.	.	PROPN
ijassa-1381	347	12	,	,	PUNCT
ijassa-1381	347	13	khan	khan	PROPN
ijassa-1381	347	14	m.m	m.m	PROPN
ijassa-1381	347	15	.	.	PROPN
ijassa-1381	347	16	,	,	PUNCT
ijassa-1381	347	17	al	al	PROPN
ijassa-1381	347	18	-	-	PUNCT
ijassa-1381	347	19	amri	amri	PROPN
ijassa-1381	347	20	j.f	j.f	PROPN
ijassa-1381	347	21	.	.	PROPN
ijassa-1381	347	22	,	,	PUNCT
ijassa-1381	347	23	et	et	PROPN
ijassa-1381	347	24	.	.	PUNCT
ijassa-1381	348	1	al	al	PROPN
ijassa-1381	348	2	.	.	PROPN
ijassa-1381	349	1	(	(	PUNCT
ijassa-1381	349	2	2022	2022	NUM
ijassa-1381	349	3	)	)	PUNCT
ijassa-1381	349	4	.	.	PUNCT
ijassa-1381	350	1	deep	deep	ADJ
ijassa-1381	350	2	learning	learning	NOUN
ijassa-1381	350	3	-	-	PUNCT
ijassa-1381	350	4	based	base	VERB
ijassa-1381	350	5	sentiment	sentiment	NOUN
ijassa-1381	350	6	analysis	analysis	NOUN
ijassa-1381	350	7	of	of	ADP
ijassa-1381	350	8	covid-19	covid-19	PROPN
ijassa-1381	350	9	vaccination	vaccination	NOUN
ijassa-1381	350	10	responses	response	NOUN
ijassa-1381	350	11	from	from	ADP
ijassa-1381	350	12	twitter	twitter	PROPN
ijassa-1381	350	13	data	data	PROPN
ijassa-1381	350	14	.	.	PUNCT
ijassa-1381	351	1	arxiv	arxiv	PROPN
ijassa-1381	351	2	:	:	PUNCT
ijassa-1381	351	3	2209.12604	2209.12604	NUM
ijassa-1381	351	4	,	,	PUNCT
ijassa-1381	351	5	[	[	X
ijassa-1381	351	6	online	online	X
ijassa-1381	351	7	]	]	X
ijassa-1381	351	8	.	.	PUNCT
ijassa-1381	352	1	available	available	ADJ
ijassa-1381	352	2	:	:	PUNCT
ijassa-1381	352	3	https://arxiv.org/abs/2209.12604	https://arxiv.org/abs/2209.12604	ADJ
ijassa-1381	352	4	2	2	NUM
ijassa-1381	352	5	.	.	PUNCT
ijassa-1381	352	6	aygun	aygun	PROPN
ijassa-1381	352	7	i.	i.	PROPN
ijassa-1381	352	8	,	,	PUNCT
ijassa-1381	352	9	kaya	kaya	PROPN
ijassa-1381	352	10	b.	b.	PROPN
ijassa-1381	352	11	,	,	PUNCT
ijassa-1381	352	12	&	&	CCONJ
ijassa-1381	352	13	kaya	kaya	PROPN
ijassa-1381	352	14	.	.	PROPN
ijassa-1381	352	15	m.	m.	PROPN
ijassa-1381	352	16	(	(	PUNCT
ijassa-1381	352	17	2022	2022	NUM
ijassa-1381	352	18	)	)	PUNCT
ijassa-1381	352	19	.	.	PUNCT
ijassa-1381	353	1	aspect	aspect	PROPN
ijassa-1381	353	2	based	base	VERB
ijassa-1381	353	3	twitter	twitter	NOUN
ijassa-1381	353	4	sentiment	sentiment	NOUN
ijassa-1381	353	5	analysis	analysis	NOUN
ijassa-1381	353	6	on	on	ADP
ijassa-1381	353	7	vaccination	vaccination	NOUN
ijassa-1381	353	8	and	and	CCONJ
ijassa-1381	353	9	vaccine	vaccine	NOUN
ijassa-1381	353	10	types	type	NOUN
ijassa-1381	353	11	in	in	ADP
ijassa-1381	353	12	covid-19	covid-19	PROPN
ijassa-1381	353	13	pandemic	pandemic	ADJ
ijassa-1381	353	14	with	with	ADP
ijassa-1381	353	15	deep	deep	ADJ
ijassa-1381	353	16	learning	learning	NOUN
ijassa-1381	353	17	.	.	PUNCT
ijassa-1381	354	1	ieee	ieee	PROPN
ijassa-1381	354	2	journal	journal	PROPN
ijassa-1381	354	3	of	of	ADP
ijassa-1381	354	4	biomedical	biomedical	ADJ
ijassa-1381	354	5	and	and	CCONJ
ijassa-1381	354	6	health	health	NOUN
ijassa-1381	354	7	informatics	informatic	NOUN
ijassa-1381	354	8	,	,	PUNCT
ijassa-1381	354	9	26(5	26(5	NUM
ijassa-1381	354	10	)	)	PUNCT
ijassa-1381	354	11	,	,	PUNCT
ijassa-1381	354	12	2362–2368	2362–2368	NUM
ijassa-1381	354	13	.	.	PUNCT
ijassa-1381	355	1	3	3	X
ijassa-1381	355	2	.	.	PUNCT
ijassa-1381	356	1	baker	baker	PROPN
ijassa-1381	356	2	q.b	q.b	PROPN
ijassa-1381	356	3	.	.	PROPN
ijassa-1381	356	4	,	,	PUNCT
ijassa-1381	356	5	shatnawi	shatnawi	PROPN
ijassa-1381	356	6	f.	f.	PROPN
ijassa-1381	356	7	,	,	PUNCT
ijassa-1381	356	8	rawashdeh	rawashdeh	PROPN
ijassa-1381	356	9	s.	s.	PROPN
ijassa-1381	356	10	,	,	PUNCT
ijassa-1381	356	11	al	al	PROPN
ijassa-1381	356	12	-	-	PUNCT
ijassa-1381	356	13	smadi	smadi	NOUN
ijassa-1381	356	14	m.	m.	NOUN
ijassa-1381	356	15	,	,	PUNCT
ijassa-1381	356	16	&	&	CCONJ
ijassa-1381	356	17	jararweh	jararweh	PROPN
ijassa-1381	356	18	y.	y.	PROPN
ijassa-1381	356	19	(	(	PUNCT
ijassa-1381	356	20	2020	2020	NUM
ijassa-1381	356	21	)	)	PUNCT
ijassa-1381	356	22	.	.	PUNCT
ijassa-1381	357	1	detecting	detect	VERB
ijassa-1381	357	2	epidemic	epidemic	NOUN
ijassa-1381	357	3	diseases	disease	NOUN
ijassa-1381	357	4	using	use	VERB
ijassa-1381	357	5	sentiment	sentiment	NOUN
ijassa-1381	357	6	analysis	analysis	NOUN
ijassa-1381	357	7	of	of	ADP
ijassa-1381	357	8	arabic	arabic	ADJ
ijassa-1381	357	9	tweets	tweet	NOUN
ijassa-1381	357	10	.	.	PUNCT
ijassa-1381	358	1	journal	journal	PROPN
ijassa-1381	358	2	of	of	ADP
ijassa-1381	358	3	universal	universal	ADJ
ijassa-1381	358	4	computer	computer	NOUN
ijassa-1381	358	5	science	science	NOUN
ijassa-1381	358	6	,	,	PUNCT
ijassa-1381	358	7	26(1	26(1	NUM
ijassa-1381	358	8	)	)	PUNCT
ijassa-1381	358	9	,	,	PUNCT
ijassa-1381	358	10	50–70	50–70	NUM
ijassa-1381	358	11	.	.	NOUN
ijassa-1381	359	1	4	4	NUM
ijassa-1381	359	2	.	.	X
ijassa-1381	359	3	best	good	ADJ
ijassa-1381	359	4	graph	graph	NOUN
ijassa-1381	359	5	neural	neural	ADJ
ijassa-1381	359	6	network	network	NOUN
ijassa-1381	359	7	architectures	architecture	NOUN
ijassa-1381	359	8	:	:	PUNCT
ijassa-1381	359	9	gcn	gcn	ADJ
ijassa-1381	359	10	,	,	PUNCT
ijassa-1381	359	11	gat	gat	NOUN
ijassa-1381	359	12	,	,	PUNCT
ijassa-1381	359	13	mpnn	mpnn	NOUN
ijassa-1381	359	14	and	and	CCONJ
ijassa-1381	359	15	more	more	ADJ
ijassa-1381	359	16	(	(	PUNCT
ijassa-1381	359	17	2022	2022	NUM
ijassa-1381	359	18	,	,	PUNCT
ijassa-1381	359	19	september	september	PROPN
ijassa-1381	359	20	23	23	NUM
ijassa-1381	359	21	)	)	PUNCT
ijassa-1381	359	22	.	.	PUNCT
ijassa-1381	360	1	theaisummer	theaisummer	NOUN
ijassa-1381	360	2	.	.	PUNCT
ijassa-1381	361	1	[	[	X
ijassa-1381	361	2	online	online	X
ijassa-1381	361	3	]	]	X
ijassa-1381	361	4	.	.	PUNCT
ijassa-1381	362	1	available	available	ADJ
ijassa-1381	362	2	:	:	PUNCT
ijassa-1381	362	3	https://theaisummer.com/gnn-architectures/	https://theaisummer.com/gnn-architectures/	PROPN
ijassa-1381	362	4	5	5	NUM
ijassa-1381	362	5	.	.	X
ijassa-1381	362	6	bonnevie	bonnevie	PROPN
ijassa-1381	362	7	e.	e.	PROPN
ijassa-1381	362	8	,	,	PUNCT
ijassa-1381	362	9	goldbarg	goldbarg	PROPN
ijassa-1381	362	10	j.	j.	PROPN
ijassa-1381	362	11	,	,	PUNCT
ijassa-1381	362	12	gallegos	gallegos	PROPN
ijassa-1381	362	13	-	-	PUNCT
ijassa-1381	362	14	jeffrey	jeffrey	PROPN
ijassa-1381	362	15	a.k	a.k	PROPN
ijassa-1381	362	16	.	.	PROPN
ijassa-1381	362	17	,	,	PUNCT
ijassa-1381	362	18	rosenberg	rosenberg	PROPN
ijassa-1381	362	19	s.d	s.d	PROPN
ijassa-1381	362	20	.	.	PROPN
ijassa-1381	362	21	,	,	PUNCT
ijassa-1381	362	22	wartella	wartella	PROPN
ijassa-1381	362	23	e.	e.	PROPN
ijassa-1381	362	24	,	,	PUNCT
ijassa-1381	362	25	et	et	PROPN
ijassa-1381	362	26	.	.	PUNCT
ijassa-1381	363	1	al	al	PROPN
ijassa-1381	363	2	.	.	PROPN
ijassa-1381	363	3	(	(	PUNCT
ijassa-1381	363	4	2020	2020	NUM
ijassa-1381	363	5	)	)	PUNCT
ijassa-1381	363	6	.	.	PUNCT
ijassa-1381	364	1	content	content	NOUN
ijassa-1381	364	2	themes	theme	NOUN
ijassa-1381	364	3	and	and	CCONJ
ijassa-1381	364	4	influential	influential	ADJ
ijassa-1381	364	5	voices	voice	NOUN
ijassa-1381	364	6	within	within	ADP
ijassa-1381	364	7	vaccine	vaccine	NOUN
ijassa-1381	364	8	opposition	opposition	NOUN
ijassa-1381	364	9	on	on	ADP
ijassa-1381	364	10	twitter	twitter	NOUN
ijassa-1381	364	11	.	.	PUNCT
ijassa-1381	365	1	american	american	PROPN
ijassa-1381	365	2	journal	journal	PROPN
ijassa-1381	365	3	of	of	ADP
ijassa-1381	365	4	public	public	ADJ
ijassa-1381	365	5	health	health	NOUN
ijassa-1381	365	6	,	,	PUNCT
ijassa-1381	365	7	110(3	110(3	NUM
ijassa-1381	365	8	)	)	PUNCT
ijassa-1381	365	9	,	,	PUNCT
ijassa-1381	365	10	s326	s326	NUM
ijassa-1381	365	11	—	—	PUNCT
ijassa-1381	365	12	s330	s330	NUM
ijassa-1381	365	13	.	.	PROPN
ijassa-1381	365	14	6	6	NUM
ijassa-1381	365	15	.	.	PUNCT
ijassa-1381	365	16	brajawidagda	brajawidagda	PROPN
ijassa-1381	365	17	u.	u.	PROPN
ijassa-1381	365	18	&	&	CCONJ
ijassa-1381	365	19	chatfield	chatfield	PROPN
ijassa-1381	365	20	a.t	a.t	PROPN
ijassa-1381	365	21	.	.	PUNCT
ijassa-1381	365	22	(	(	PUNCT
ijassa-1381	365	23	2012	2012	NUM
ijassa-1381	365	24	)	)	PUNCT
ijassa-1381	365	25	.	.	PUNCT
ijassa-1381	366	1	twitter	twitter	NOUN
ijassa-1381	366	2	tsunami	tsunami	NOUN
ijassa-1381	366	3	early	early	ADJ
ijassa-1381	366	4	warning	warning	NOUN
ijassa-1381	366	5	network	network	NOUN
ijassa-1381	366	6	:	:	PUNCT
ijassa-1381	366	7	a	a	DET
ijassa-1381	366	8	social	social	ADJ
ijassa-1381	366	9	network	network	NOUN
ijassa-1381	366	10	analysis	analysis	NOUN
ijassa-1381	366	11	of	of	ADP
ijassa-1381	366	12	twitter	twitter	NOUN
ijassa-1381	366	13	information	information	NOUN
ijassa-1381	366	14	flows	flow	VERB
ijassa-1381	366	15	.	.	PUNCT
ijassa-1381	367	1	acis	acis	PROPN
ijassa-1381	367	2	,	,	PUNCT
ijassa-1381	367	3	56(1	56(1	NUM
ijassa-1381	367	4	)	)	PUNCT
ijassa-1381	367	5	,	,	PUNCT
ijassa-1381	367	6	4-–7	4-–7	NUM
ijassa-1381	367	7	,	,	PUNCT
ijassa-1381	367	8	https://aisel.aisnet.org/acis2012/56	https://aisel.aisnet.org/acis2012/56	VERB
ijassa-1381	367	9	7	7	NUM
ijassa-1381	367	10	.	.	PUNCT
ijassa-1381	368	1	cambria	cambria	PROPN
ijassa-1381	368	2	e.	e.	PROPN
ijassa-1381	368	3	,	,	PUNCT
ijassa-1381	368	4	das	das	PROPN
ijassa-1381	368	5	d.	d.	PROPN
ijassa-1381	368	6	,	,	PUNCT
ijassa-1381	368	7	bandyopadhyay	bandyopadhyay	PROPN
ijassa-1381	368	8	s.	s.	PROPN
ijassa-1381	368	9	,	,	PUNCT
ijassa-1381	368	10	&	&	CCONJ
ijassa-1381	368	11	feraco	feraco	PROPN
ijassa-1381	368	12	a.	a.	PROPN
ijassa-1381	368	13	(	(	PUNCT
ijassa-1381	368	14	2017	2017	NUM
ijassa-1381	368	15	)	)	PUNCT
ijassa-1381	368	16	.	.	PUNCT
ijassa-1381	369	1	affective	affective	ADJ
ijassa-1381	369	2	computing	computing	NOUN
ijassa-1381	369	3	and	and	CCONJ
ijassa-1381	369	4	sentiment	sentiment	NOUN
ijassa-1381	369	5	analysis	analysis	NOUN
ijassa-1381	369	6	.	.	PUNCT
ijassa-1381	370	1	a	a	DET
ijassa-1381	370	2	practical	practical	ADJ
ijassa-1381	370	3	guide	guide	NOUN
ijassa-1381	370	4	to	to	PART
ijassa-1381	370	5	sentiment	sentiment	VERB
ijassa-1381	370	6	analysis	analysis	NOUN
ijassa-1381	370	7	(	(	PUNCT
ijassa-1381	370	8	pp	pp	ADJ
ijassa-1381	370	9	.	.	PUNCT
ijassa-1381	371	1	103–105	103–105	NUM
ijassa-1381	371	2	)	)	PUNCT
ijassa-1381	371	3	washington	washington	PROPN
ijassa-1381	371	4	,	,	PUNCT
ijassa-1381	371	5	d.c	d.c	PROPN
ijassa-1381	371	6	.	.	PUNCT
ijassa-1381	371	7	:	:	PUNCT
ijassa-1381	372	1	ieee	ieee	NOUN
ijassa-1381	372	2	intelligent	intelligent	ADJ
ijassa-1381	372	3	systems	system	NOUN
ijassa-1381	372	4	8	8	NUM
ijassa-1381	372	5	.	.	PUNCT
ijassa-1381	373	1	chakraborty	chakraborty	PROPN
ijassa-1381	373	2	k.	k.	PROPN
ijassa-1381	373	3	,	,	PUNCT
ijassa-1381	373	4	bhatia	bhatia	PROPN
ijassa-1381	373	5	s.	s.	PROPN
ijassa-1381	373	6	,	,	PUNCT
ijassa-1381	373	7	bhattacharyya	bhattacharyya	PROPN
ijassa-1381	373	8	s.	s.	PROPN
ijassa-1381	373	9	,	,	PUNCT
ijassa-1381	373	10	platos	platos	PROPN
ijassa-1381	373	11	j.	j.	PROPN
ijassa-1381	373	12	,	,	PUNCT
ijassa-1381	373	13	bag	bag	PROPN
ijassa-1381	373	14	r.	r.	PROPN
ijassa-1381	373	15	,	,	PUNCT
ijassa-1381	373	16	et	et	PROPN
ijassa-1381	373	17	.	.	PUNCT
ijassa-1381	374	1	al	al	PROPN
ijassa-1381	374	2	.	.	PROPN
ijassa-1381	374	3	(	(	PUNCT
ijassa-1381	374	4	2020	2020	NUM
ijassa-1381	374	5	)	)	PUNCT
ijassa-1381	374	6	.	.	PUNCT
ijassa-1381	375	1	sentiment	sentiment	NOUN
ijassa-1381	375	2	analysis	analysis	NOUN
ijassa-1381	375	3	of	of	ADP
ijassa-1381	375	4	covid-19	covid-19	PROPN
ijassa-1381	375	5	tweets	tweet	NOUN
ijassa-1381	375	6	by	by	ADP
ijassa-1381	375	7	deep	deep	ADJ
ijassa-1381	375	8	learning	learning	NOUN
ijassa-1381	375	9	classifiers	classifier	NOUN
ijassa-1381	375	10	.	.	PUNCT
ijassa-1381	376	1	applied	apply	VERB
ijassa-1381	376	2	soft	soft	ADJ
ijassa-1381	376	3	computing	computing	NOUN
ijassa-1381	376	4	:	:	PUNCT
ijassa-1381	376	5	106754	106754	NUM
ijassa-1381	376	6	,	,	PUNCT
ijassa-1381	376	7	97(1	97(1	NOUN
ijassa-1381	376	8	)	)	PUNCT
ijassa-1381	376	9	,	,	PUNCT
ijassa-1381	377	1	[	[	X
ijassa-1381	377	2	online	online	X
ijassa-1381	377	3	]	]	X
ijassa-1381	377	4	.	.	PUNCT
ijassa-1381	378	1	available	available	ADJ
ijassa-1381	378	2	:	:	PUNCT
ijassa-1381	378	3	https://doi.org/10.1016/j.asoc.2020.106754	https://doi.org/10.1016/j.asoc.2020.106754	PROPN
ijassa-1381	378	4	9	9	NUM
ijassa-1381	378	5	.	.	PUNCT
ijassa-1381	379	1	cockett	cockett	ADJ
ijassa-1381	379	2	.	.	PUNCT
ijassa-1381	380	1	j.r.b	j.r.b	NOUN
ijassa-1381	380	2	.	.	PUNCT
ijassa-1381	380	3	(	(	PUNCT
ijassa-1381	380	4	1987	1987	NUM
ijassa-1381	380	5	)	)	PUNCT
ijassa-1381	380	6	.	.	PUNCT
ijassa-1381	381	1	discrete	discrete	ADJ
ijassa-1381	381	2	decision	decision	NOUN
ijassa-1381	381	3	theory	theory	NOUN
ijassa-1381	381	4	:	:	PUNCT
ijassa-1381	381	5	manipulations	manipulation	NOUN
ijassa-1381	381	6	.	.	PUNCT
ijassa-1381	382	1	theoretical	theoretical	ADJ
ijassa-1381	382	2	computer	computer	NOUN
ijassa-1381	382	3	science	science	NOUN
ijassa-1381	382	4	,	,	PUNCT
ijassa-1381	382	5	54(1	54(1	NUM
ijassa-1381	382	6	)	)	PUNCT
ijassa-1381	382	7	,	,	PUNCT
ijassa-1381	382	8	215-–236	215-–236	NUM
ijassa-1381	382	9	.	.	PROPN
ijassa-1381	382	10	10	10	NUM
ijassa-1381	382	11	.	.	PUNCT
ijassa-1381	383	1	devlin	devlin	PROPN
ijassa-1381	383	2	j.	j.	PROPN
ijassa-1381	383	3	,	,	PUNCT
ijassa-1381	383	4	chang	chang	PROPN
ijassa-1381	383	5	m.	m.	PROPN
ijassa-1381	383	6	,	,	PUNCT
ijassa-1381	383	7	lee	lee	PROPN
ijassa-1381	383	8	k.	k.	PROPN
ijassa-1381	383	9	,	,	PUNCT
ijassa-1381	383	10	&	&	CCONJ
ijassa-1381	383	11	toutanova	toutanova	PROPN
ijassa-1381	383	12	k.	k.	PROPN
ijassa-1381	383	13	(	(	PUNCT
ijassa-1381	383	14	2019	2019	NUM
ijassa-1381	383	15	)	)	PUNCT
ijassa-1381	383	16	.	.	PUNCT
ijassa-1381	384	1	bert	bert	PROPN
ijassa-1381	384	2	:	:	PUNCT
ijassa-1381	384	3	pre	pre	ADJ
ijassa-1381	384	4	-	-	NOUN
ijassa-1381	384	5	training	training	NOUN
ijassa-1381	384	6	of	of	ADP
ijassa-1381	384	7	deep	deep	ADJ
ijassa-1381	384	8	bidirectional	bidirectional	ADJ
ijassa-1381	384	9	transformers	transformer	NOUN
ijassa-1381	384	10	for	for	ADP
ijassa-1381	384	11	language	language	NOUN
ijassa-1381	384	12	understanding	understanding	NOUN
ijassa-1381	384	13	.	.	PUNCT
ijassa-1381	385	1	arxiv	arxiv	NOUN
ijassa-1381	385	2	:	:	PUNCT
ijassa-1381	385	3	1810.04805	1810.04805	NUM
ijassa-1381	385	4	,	,	PUNCT
ijassa-1381	385	5	[	[	X
ijassa-1381	385	6	online	online	X
ijassa-1381	385	7	]	]	X
ijassa-1381	385	8	.	.	PUNCT
ijassa-1381	386	1	available	available	ADJ
ijassa-1381	386	2	:	:	PUNCT
ijassa-1381	386	3	https://arxiv.org/abs/1810.04805	https://arxiv.org/abs/1810.04805	PROPN
ijassa-1381	386	4	11	11	NUM
ijassa-1381	386	5	.	.	PUNCT
ijassa-1381	387	1	fayaz	fayaz	PROPN
ijassa-1381	387	2	m.	m.	PROPN
ijassa-1381	387	3	,	,	PUNCT
ijassa-1381	387	4	khan	khan	PROPN
ijassa-1381	387	5	a.	a.	PROPN
ijassa-1381	387	6	,	,	PUNCT
ijassa-1381	387	7	rahman	rahman	PROPN
ijassa-1381	387	8	j.u	j.u	PROPN
ijassa-1381	387	9	.	.	PROPN
ijassa-1381	387	10	,	,	PUNCT
ijassa-1381	387	11	alharbi	alharbi	PROPN
ijassa-1381	387	12	a.	a.	PROPN
ijassa-1381	387	13	,	,	PUNCT
ijassa-1381	387	14	uddin	uddin	PROPN
ijassa-1381	387	15	m.i	m.i	PROPN
ijassa-1381	387	16	.	.	PROPN
ijassa-1381	387	17	,	,	PUNCT
ijassa-1381	387	18	et	et	PROPN
ijassa-1381	387	19	.	.	PUNCT
ijassa-1381	388	1	al	al	PROPN
ijassa-1381	388	2	.	.	PROPN
ijassa-1381	388	3	(	(	PUNCT
ijassa-1381	388	4	2020	2020	NUM
ijassa-1381	388	5	)	)	PUNCT
ijassa-1381	388	6	.	.	PUNCT
ijassa-1381	389	1	ensemble	ensemble	ADJ
ijassa-1381	389	2	machine	machine	NOUN
ijassa-1381	389	3	learning	learning	NOUN
ijassa-1381	389	4	model	model	NOUN
ijassa-1381	389	5	for	for	ADP
ijassa-1381	389	6	classification	classification	NOUN
ijassa-1381	389	7	of	of	ADP
ijassa-1381	389	8	spam	spam	NOUN
ijassa-1381	389	9	product	product	NOUN
ijassa-1381	389	10	reviews	review	NOUN
ijassa-1381	389	11	.	.	PUNCT
ijassa-1381	390	1	complexity	complexity	NOUN
ijassa-1381	390	2	,	,	PUNCT
ijassa-1381	390	3	2020(1	2020(1	NUM
ijassa-1381	390	4	)	)	PUNCT
ijassa-1381	390	5	,	,	PUNCT
ijassa-1381	390	6	3–8	3–8	X
ijassa-1381	390	7	.	.	NOUN
ijassa-1381	390	8	12	12	NUM
ijassa-1381	390	9	.	.	PUNCT
ijassa-1381	391	1	freund	freund	PROPN
ijassa-1381	391	2	y.	y.	PROPN
ijassa-1381	391	3	&	&	CCONJ
ijassa-1381	391	4	schapire	schapire	PROPN
ijassa-1381	391	5	r.e	r.e	PROPN
ijassa-1381	391	6	.	.	PROPN
ijassa-1381	391	7	(	(	PUNCT
ijassa-1381	391	8	1997	1997	NUM
ijassa-1381	391	9	)	)	PUNCT
ijassa-1381	391	10	.	.	PUNCT
ijassa-1381	392	1	a	a	DET
ijassa-1381	392	2	decision	decision	NOUN
ijassa-1381	392	3	-	-	PUNCT
ijassa-1381	392	4	theoretic	theoretic	NOUN
ijassa-1381	392	5	generalization	generalization	NOUN
ijassa-1381	392	6	of	of	ADP
ijassa-1381	392	7	on	on	ADP
ijassa-1381	392	8	-	-	PUNCT
ijassa-1381	392	9	line	line	NOUN
ijassa-1381	392	10	learning	learning	NOUN
ijassa-1381	392	11	and	and	CCONJ
ijassa-1381	392	12	an	an	DET
ijassa-1381	392	13	application	application	NOUN
ijassa-1381	392	14	to	to	ADP
ijassa-1381	392	15	boosting	boost	VERB
ijassa-1381	392	16	.	.	PUNCT
ijassa-1381	393	1	journal	journal	NOUN
ijassa-1381	393	2	of	of	ADP
ijassa-1381	393	3	computer	computer	NOUN
ijassa-1381	393	4	and	and	CCONJ
ijassa-1381	393	5	system	system	NOUN
ijassa-1381	393	6	sciences	science	NOUN
ijassa-1381	393	7	,	,	PUNCT
ijassa-1381	393	8	55(1	55(1	NOUN
ijassa-1381	393	9	)	)	PUNCT
ijassa-1381	393	10	,	,	PUNCT
ijassa-1381	393	11	119–139	119–139	NUM
ijassa-1381	393	12	.	.	PUNCT
ijassa-1381	394	1	13	13	NUM
ijassa-1381	394	2	.	.	X
ijassa-1381	394	3	garcia	garcia	PROPN
ijassa-1381	394	4	k.	k.	PROPN
ijassa-1381	394	5	&	&	CCONJ
ijassa-1381	394	6	berton	berton	PROPN
ijassa-1381	394	7	l.	l.	PROPN
ijassa-1381	394	8	(	(	PUNCT
ijassa-1381	394	9	2021	2021	NUM
ijassa-1381	394	10	)	)	PUNCT
ijassa-1381	394	11	.	.	PUNCT
ijassa-1381	395	1	topic	topic	NOUN
ijassa-1381	395	2	detection	detection	NOUN
ijassa-1381	395	3	and	and	CCONJ
ijassa-1381	395	4	sentiment	sentiment	NOUN
ijassa-1381	395	5	analysis	analysis	NOUN
ijassa-1381	395	6	in	in	ADP
ijassa-1381	395	7	twitter	twitter	NOUN
ijassa-1381	395	8	content	content	NOUN
ijassa-1381	395	9	related	relate	VERB
ijassa-1381	395	10	to	to	ADP
ijassa-1381	395	11	covid-19	covid-19	PROPN
ijassa-1381	395	12	from	from	ADP
ijassa-1381	395	13	brazil	brazil	PROPN
ijassa-1381	395	14	and	and	CCONJ
ijassa-1381	395	15	the	the	DET
ijassa-1381	395	16	usa	usa	PROPN
ijassa-1381	395	17	.	.	PROPN
ijassa-1381	395	18	applied	apply	VERB
ijassa-1381	395	19	soft	soft	ADJ
ijassa-1381	395	20	computing	computing	NOUN
ijassa-1381	395	21	:	:	PUNCT
ijassa-1381	395	22	107057	107057	NUM
ijassa-1381	395	23	,	,	PUNCT
ijassa-1381	395	24	101(1	101(1	NUM
ijassa-1381	395	25	)	)	PUNCT
ijassa-1381	395	26	,	,	PUNCT
ijassa-1381	396	1	[	[	X
ijassa-1381	396	2	online	online	X
ijassa-1381	396	3	]	]	X
ijassa-1381	396	4	.	.	PUNCT
ijassa-1381	397	1	available	available	ADJ
ijassa-1381	397	2	:	:	PUNCT
ijassa-1381	398	1	https://doi.org/10.1016/j.asoc.2020.107057	https://doi.org/10.1016/j.asoc.2020.107057	NOUN
ijassa-1381	398	2	copyright	copyright	NOUN
ijassa-1381	398	3	©	©	ADP
ijassa-1381	398	4	2023	2023	NUM
ijassa-1381	398	5	assa	assa	NOUN
ijassa-1381	398	6	.	.	PUNCT
ijassa-1381	399	1	adv	adv	PROPN
ijassa-1381	399	2	syst	syst	PROPN
ijassa-1381	399	3	sci	sci	PROPN
ijassa-1381	399	4	appl	appl	PROPN
ijassa-1381	399	5	(	(	PUNCT
ijassa-1381	399	6	2023	2023	NUM
ijassa-1381	399	7	)	)	PUNCT
ijassa-1381	399	8	assa	assa	NOUN
ijassa-1381	399	9	latex	latex	NOUN
ijassa-1381	399	10	template	template	NOUN
ijassa-1381	399	11	125	125	NUM
ijassa-1381	399	12	14	14	NUM
ijassa-1381	399	13	.	.	PUNCT
ijassa-1381	400	1	ghosh	ghosh	PROPN
ijassa-1381	400	2	m.	m.	PROPN
ijassa-1381	400	3	&	&	CCONJ
ijassa-1381	400	4	sanyal	sanyal	PROPN
ijassa-1381	400	5	g.	g.	PROPN
ijassa-1381	400	6	(	(	PUNCT
ijassa-1381	400	7	2019	2019	NUM
ijassa-1381	400	8	)	)	PUNCT
ijassa-1381	400	9	.	.	PUNCT
ijassa-1381	401	1	analysing	analyse	VERB
ijassa-1381	401	2	sentiments	sentiment	NOUN
ijassa-1381	401	3	based	base	VERB
ijassa-1381	401	4	on	on	ADP
ijassa-1381	401	5	multi	multi	ADJ
ijassa-1381	401	6	feature	feature	NOUN
ijassa-1381	401	7	combination	combination	NOUN
ijassa-1381	401	8	with	with	ADP
ijassa-1381	401	9	supervised	supervised	ADJ
ijassa-1381	401	10	learning	learning	NOUN
ijassa-1381	401	11	.	.	PUNCT
ijassa-1381	402	1	international	international	ADJ
ijassa-1381	402	2	journal	journal	PROPN
ijassa-1381	402	3	of	of	ADP
ijassa-1381	402	4	datamining	datamining	NOUN
ijassa-1381	402	5	,	,	PUNCT
ijassa-1381	402	6	modelling	modelling	NOUN
ijassa-1381	402	7	and	and	CCONJ
ijassa-1381	402	8	management	management	NOUN
ijassa-1381	402	9	,	,	PUNCT
ijassa-1381	402	10	11(1	11(1	NUM
ijassa-1381	402	11	)	)	PUNCT
ijassa-1381	402	12	,	,	PUNCT
ijassa-1381	402	13	391-–416	391-–416	NOUN
ijassa-1381	402	14	.	.	PUNCT
ijassa-1381	403	1	15	15	NUM
ijassa-1381	403	2	.	.	PUNCT
ijassa-1381	404	1	goyal	goyal	PROPN
ijassa-1381	404	2	n.	n.	PROPN
ijassa-1381	404	3	,	,	PUNCT
ijassa-1381	404	4	du	du	PROPN
ijassa-1381	404	5	j.	j.	PROPN
ijassa-1381	404	6	,	,	PUNCT
ijassa-1381	404	7	ott	ott	PROPN
ijassa-1381	404	8	m.	m.	NOUN
ijassa-1381	404	9	,	,	PUNCT
ijassa-1381	404	10	anantharaman	anantharaman	NOUN
ijassa-1381	404	11	g.	g.	PROPN
ijassa-1381	404	12	,	,	PUNCT
ijassa-1381	404	13	&	&	CCONJ
ijassa-1381	404	14	conneau	conneau	PROPN
ijassa-1381	404	15	a.	a.	PROPN
ijassa-1381	404	16	(	(	PUNCT
ijassa-1381	404	17	2021	2021	NUM
ijassa-1381	404	18	)	)	PUNCT
ijassa-1381	404	19	.	.	PUNCT
ijassa-1381	405	1	larger	large	ADJ
ijassa-1381	405	2	-	-	PUNCT
ijassa-1381	405	3	scale	scale	NOUN
ijassa-1381	405	4	transformers	transformer	NOUN
ijassa-1381	405	5	for	for	ADP
ijassa-1381	405	6	multilingual	multilingual	ADJ
ijassa-1381	405	7	masked	mask	VERB
ijassa-1381	405	8	language	language	NOUN
ijassa-1381	405	9	modeling	modeling	NOUN
ijassa-1381	405	10	.	.	PUNCT
ijassa-1381	406	1	arxiv	arxiv	NOUN
ijassa-1381	406	2	:	:	PUNCT
ijassa-1381	406	3	2105.00572	2105.00572	NUM
ijassa-1381	406	4	,	,	PUNCT
ijassa-1381	407	1	[	[	X
ijassa-1381	407	2	online	online	X
ijassa-1381	407	3	]	]	X
ijassa-1381	407	4	.	.	PUNCT
ijassa-1381	408	1	available	available	ADJ
ijassa-1381	408	2	:	:	PUNCT
ijassa-1381	408	3	https://arxiv.org/abs/2105.00572	https://arxiv.org/abs/2105.00572	ADJ
ijassa-1381	408	4	16	16	NUM
ijassa-1381	408	5	.	.	PUNCT
ijassa-1381	409	1	gubanov	gubanov	PROPN
ijassa-1381	409	2	,	,	PUNCT
ijassa-1381	409	3	d.a	d.a	PROPN
ijassa-1381	409	4	.	.	PROPN
ijassa-1381	409	5	,	,	PUNCT
ijassa-1381	409	6	novikov	novikov	PROPN
ijassa-1381	409	7	d.a	d.a	PROPN
ijassa-1381	409	8	.	.	PROPN
ijassa-1381	409	9	,	,	PUNCT
ijassa-1381	409	10	&	&	CCONJ
ijassa-1381	409	11	chkhartishvili	chkhartishvili	PROPN
ijassa-1381	409	12	a.g	a.g	PROPN
ijassa-1381	409	13	.	.	PROPN
ijassa-1381	409	14	(	(	PUNCT
ijassa-1381	409	15	2019	2019	NUM
ijassa-1381	409	16	)	)	PUNCT
ijassa-1381	409	17	.	.	PUNCT
ijassa-1381	410	1	social	social	ADJ
ijassa-1381	410	2	networks	network	NOUN
ijassa-1381	410	3	:	:	PUNCT
ijassa-1381	410	4	models	model	NOUN
ijassa-1381	410	5	of	of	ADP
ijassa-1381	410	6	information	information	NOUN
ijassa-1381	410	7	influence	influence	NOUN
ijassa-1381	410	8	,	,	PUNCT
ijassa-1381	410	9	control	control	NOUN
ijassa-1381	410	10	and	and	CCONJ
ijassa-1381	410	11	confrontation	confrontation	NOUN
ijassa-1381	410	12	.	.	PUNCT
ijassa-1381	411	1	springer	springer	NOUN
ijassa-1381	411	2	international	international	ADJ
ijassa-1381	411	3	publishing	publishing	NOUN
ijassa-1381	411	4	,	,	PUNCT
ijassa-1381	411	5	158	158	NUM
ijassa-1381	411	6	,	,	PUNCT
ijassa-1381	411	7	switzerland	switzerland	PROPN
ijassa-1381	411	8	:	:	PUNCT
ijassa-1381	411	9	cham	cham	PROPN
ijassa-1381	411	10	17	17	NUM
ijassa-1381	411	11	.	.	PUNCT
ijassa-1381	412	1	gubanov	gubanov	PROPN
ijassa-1381	412	2	,	,	PUNCT
ijassa-1381	412	3	d.a	d.a	PROPN
ijassa-1381	412	4	.	.	PROPN
ijassa-1381	412	5	,	,	PUNCT
ijassa-1381	412	6	petrov	petrov	PROPN
ijassa-1381	412	7	i.v	i.v	PROPN
ijassa-1381	412	8	.	.	PROPN
ijassa-1381	412	9	,	,	PUNCT
ijassa-1381	412	10	&	&	CCONJ
ijassa-1381	412	11	chkhartishvili	chkhartishvili	PROPN
ijassa-1381	412	12	a.g	a.g	PROPN
ijassa-1381	412	13	.	.	PROPN
ijassa-1381	412	14	(	(	PUNCT
ijassa-1381	412	15	2021	2021	NUM
ijassa-1381	412	16	)	)	PUNCT
ijassa-1381	412	17	.	.	PUNCT
ijassa-1381	413	1	multidimensional	multidimensional	ADJ
ijassa-1381	413	2	model	model	NOUN
ijassa-1381	413	3	of	of	ADP
ijassa-1381	413	4	opinion	opinion	NOUN
ijassa-1381	413	5	dynamics	dynamic	NOUN
ijassa-1381	413	6	in	in	ADP
ijassa-1381	413	7	social	social	ADJ
ijassa-1381	413	8	networks	network	NOUN
ijassa-1381	413	9	:	:	PUNCT
ijassa-1381	413	10	polarization	polarization	NOUN
ijassa-1381	413	11	indices	indice	VERB
ijassa-1381	413	12	automation	automation	NOUN
ijassa-1381	413	13	and	and	CCONJ
ijassa-1381	413	14	remote	remote	ADJ
ijassa-1381	413	15	control	control	NOUN
ijassa-1381	413	16	,	,	PUNCT
ijassa-1381	413	17	82(10	82(10	NUM
ijassa-1381	413	18	)	)	PUNCT
ijassa-1381	413	19	,	,	PUNCT
ijassa-1381	413	20	1802-–1811	1802-–1811	NUM
ijassa-1381	413	21	.	.	PROPN
ijassa-1381	413	22	18	18	NUM
ijassa-1381	413	23	.	.	PUNCT
ijassa-1381	414	1	gubanov	gubanov	PROPN
ijassa-1381	414	2	,	,	PUNCT
ijassa-1381	414	3	d.a	d.a	PROPN
ijassa-1381	414	4	.	.	PROPN
ijassa-1381	414	5	&	&	CCONJ
ijassa-1381	414	6	novikov	novikov	PROPN
ijassa-1381	414	7	d.a	d.a	PROPN
ijassa-1381	414	8	.	.	PUNCT
ijassa-1381	414	9	(	(	PUNCT
ijassa-1381	414	10	2023	2023	NUM
ijassa-1381	414	11	)	)	PUNCT
ijassa-1381	414	12	.	.	PUNCT
ijassa-1381	415	1	models	model	NOUN
ijassa-1381	415	2	of	of	ADP
ijassa-1381	415	3	joint	joint	ADJ
ijassa-1381	415	4	dynamics	dynamic	NOUN
ijassa-1381	415	5	of	of	ADP
ijassa-1381	415	6	opinions	opinion	NOUN
ijassa-1381	415	7	and	and	CCONJ
ijassa-1381	415	8	actions	action	NOUN
ijassa-1381	415	9	in	in	ADP
ijassa-1381	415	10	online	online	ADJ
ijassa-1381	415	11	social	social	ADJ
ijassa-1381	415	12	networks	network	NOUN
ijassa-1381	415	13	.	.	PUNCT
ijassa-1381	416	1	part	part	NOUN
ijassa-1381	417	1	i	i	NOUN
ijassa-1381	417	2	:	:	PUNCT
ijassa-1381	417	3	primary	primary	ADJ
ijassa-1381	417	4	data	datum	NOUN
ijassa-1381	417	5	analysis	analysis	NOUN
ijassa-1381	417	6	control	control	NOUN
ijassa-1381	417	7	sciences	science	NOUN
ijassa-1381	417	8	,	,	PUNCT
ijassa-1381	417	9	2	2	NUM
ijassa-1381	417	10	,	,	PUNCT
ijassa-1381	417	11	31–45	31–45	NUM
ijassa-1381	417	12	.	.	NOUN
ijassa-1381	417	13	19	19	NUM
ijassa-1381	417	14	.	.	PUNCT
ijassa-1381	418	1	gubanov	gubanov	PROPN
ijassa-1381	418	2	,	,	PUNCT
ijassa-1381	418	3	d.a	d.a	PROPN
ijassa-1381	418	4	.	.	PROPN
ijassa-1381	418	5	&	&	CCONJ
ijassa-1381	418	6	novikov	novikov	PROPN
ijassa-1381	418	7	d.a	d.a	PROPN
ijassa-1381	418	8	.	.	PUNCT
ijassa-1381	418	9	(	(	PUNCT
ijassa-1381	418	10	2023	2023	NUM
ijassa-1381	418	11	)	)	PUNCT
ijassa-1381	418	12	.	.	PUNCT
ijassa-1381	419	1	models	model	NOUN
ijassa-1381	419	2	of	of	ADP
ijassa-1381	419	3	joint	joint	ADJ
ijassa-1381	419	4	dynamics	dynamic	NOUN
ijassa-1381	419	5	of	of	ADP
ijassa-1381	419	6	opinions	opinion	NOUN
ijassa-1381	419	7	and	and	CCONJ
ijassa-1381	419	8	actions	action	NOUN
ijassa-1381	419	9	in	in	ADP
ijassa-1381	419	10	online	online	ADJ
ijassa-1381	419	11	social	social	ADJ
ijassa-1381	419	12	networks	network	NOUN
ijassa-1381	419	13	.	.	PUNCT
ijassa-1381	420	1	part	part	PROPN
ijassa-1381	420	2	ii	ii	PROPN
ijassa-1381	420	3	:	:	PUNCT
ijassa-1381	420	4	linear	linear	NOUN
ijassa-1381	420	5	models	model	NOUN
ijassa-1381	420	6	control	control	VERB
ijassa-1381	420	7	sciences	science	NOUN
ijassa-1381	420	8	,	,	PUNCT
ijassa-1381	420	9	3	3	NUM
ijassa-1381	420	10	,	,	PUNCT
ijassa-1381	420	11	31–54	31–54	NUM
ijassa-1381	420	12	.	.	PROPN
ijassa-1381	420	13	20	20	NUM
ijassa-1381	420	14	.	.	PUNCT
ijassa-1381	421	1	hou	hou	PROPN
ijassa-1381	421	2	k.	k.	PROPN
ijassa-1381	421	3	,	,	PUNCT
ijassa-1381	421	4	hou	hou	PROPN
ijassa-1381	421	5	t.	t.	PROPN
ijassa-1381	421	6	,	,	PUNCT
ijassa-1381	421	7	&	&	CCONJ
ijassa-1381	421	8	cai	cai	PROPN
ijassa-1381	421	9	l.	l.	PROPN
ijassa-1381	421	10	(	(	PUNCT
ijassa-1381	421	11	2021	2021	NUM
ijassa-1381	421	12	)	)	PUNCT
ijassa-1381	421	13	.	.	PUNCT
ijassa-1381	422	1	public	public	ADJ
ijassa-1381	422	2	attention	attention	NOUN
ijassa-1381	422	3	about	about	ADP
ijassa-1381	422	4	covid-19	covid-19	PROPN
ijassa-1381	422	5	on	on	ADP
ijassa-1381	422	6	social	social	ADJ
ijassa-1381	422	7	media	medium	NOUN
ijassa-1381	422	8	:	:	PUNCT
ijassa-1381	422	9	an	an	DET
ijassa-1381	422	10	investigation	investigation	NOUN
ijassa-1381	422	11	based	base	VERB
ijassa-1381	422	12	on	on	ADP
ijassa-1381	422	13	data	datum	NOUN
ijassa-1381	422	14	mining	mining	NOUN
ijassa-1381	422	15	and	and	CCONJ
ijassa-1381	422	16	text	text	NOUN
ijassa-1381	422	17	analysis	analysis	NOUN
ijassa-1381	422	18	.	.	PUNCT
ijassa-1381	423	1	personality	personality	NOUN
ijassa-1381	423	2	and	and	CCONJ
ijassa-1381	423	3	individual	individual	ADJ
ijassa-1381	423	4	differences	difference	NOUN
ijassa-1381	423	5	:	:	PUNCT
ijassa-1381	423	6	110701	110701	NUM
ijassa-1381	423	7	,	,	PUNCT
ijassa-1381	423	8	175(1	175(1	NUM
ijassa-1381	423	9	)	)	PUNCT
ijassa-1381	423	10	.	.	PUNCT
ijassa-1381	424	1	21	21	NUM
ijassa-1381	424	2	.	.	PUNCT
ijassa-1381	424	3	hung	hung	PROPN
ijassa-1381	424	4	m.	m.	NOUN
ijassa-1381	424	5	,	,	PUNCT
ijassa-1381	424	6	lauren	lauren	PROPN
ijassa-1381	424	7	e.	e.	PROPN
ijassa-1381	424	8	,	,	PUNCT
ijassa-1381	424	9	hon	hon	PROPN
ijassa-1381	424	10	e.s	e.s	PROPN
ijassa-1381	424	11	.	.	PROPN
ijassa-1381	424	12	,	,	PUNCT
ijassa-1381	424	13	birmingham	birmingham	PROPN
ijassa-1381	424	14	w.c	w.c	VERB
ijassa-1381	424	15	.	.	PROPN
ijassa-1381	424	16	,	,	PUNCT
ijassa-1381	424	17	xu	xu	PROPN
ijassa-1381	424	18	j.	j.	PROPN
ijassa-1381	424	19	,	,	PUNCT
ijassa-1381	424	20	et	et	PROPN
ijassa-1381	424	21	.	.	PUNCT
ijassa-1381	425	1	al	al	PROPN
ijassa-1381	425	2	.	.	PROPN
ijassa-1381	425	3	(	(	PUNCT
ijassa-1381	425	4	2020	2020	NUM
ijassa-1381	425	5	)	)	PUNCT
ijassa-1381	425	6	.	.	PUNCT
ijassa-1381	426	1	social	social	ADJ
ijassa-1381	426	2	network	network	NOUN
ijassa-1381	426	3	analysis	analysis	NOUN
ijassa-1381	426	4	of	of	ADP
ijassa-1381	426	5	covid-19	covid-19	PROPN
ijassa-1381	426	6	sentiments	sentiment	NOUN
ijassa-1381	426	7	:	:	PUNCT
ijassa-1381	426	8	application	application	NOUN
ijassa-1381	426	9	of	of	ADP
ijassa-1381	426	10	artificial	artificial	ADJ
ijassa-1381	426	11	intelligence	intelligence	NOUN
ijassa-1381	426	12	.	.	PUNCT
ijassa-1381	427	1	j	j	PROPN
ijassa-1381	427	2	med	med	PROPN
ijassa-1381	427	3	internet	internet	NOUN
ijassa-1381	427	4	res	re	NOUN
ijassa-1381	427	5	:	:	PUNCT
ijassa-1381	427	6	e22590	e22590	NOUN
ijassa-1381	427	7	,	,	PUNCT
ijassa-1381	427	8	22(1	22(1	NUM
ijassa-1381	427	9	)	)	PUNCT
ijassa-1381	427	10	,	,	PUNCT
ijassa-1381	428	1	[	[	X
ijassa-1381	428	2	online	online	X
ijassa-1381	428	3	]	]	X
ijassa-1381	428	4	.	.	PUNCT
ijassa-1381	429	1	available	available	ADJ
ijassa-1381	429	2	:	:	PUNCT
ijassa-1381	429	3	http://www.jmir.org/2020/8/e22590/	http://www.jmir.org/2020/8/e22590/	NUM
ijassa-1381	429	4	,	,	PUNCT
ijassa-1381	429	5	https://doi.org/10.2196/22590	https://doi.org/10.2196/22590	PROPN
ijassa-1381	429	6	22	22	NUM
ijassa-1381	429	7	.	.	PUNCT
ijassa-1381	429	8	interfax	interfax	PROPN
ijassa-1381	429	9	.	.	PUNCT
ijassa-1381	430	1	(	(	PUNCT
ijassa-1381	430	2	2022	2022	NUM
ijassa-1381	430	3	)	)	PUNCT
ijassa-1381	430	4	.	.	PUNCT
ijassa-1381	431	1	coronavirus	coronavirus	NOUN
ijassa-1381	431	2	pandemic	pandemic	ADJ
ijassa-1381	431	3	.	.	PUNCT
ijassa-1381	432	1	[	[	X
ijassa-1381	432	2	online	online	X
ijassa-1381	432	3	]	]	X
ijassa-1381	432	4	.	.	PUNCT
ijassa-1381	433	1	available	available	ADJ
ijassa-1381	433	2	:	:	PUNCT
ijassa-1381	433	3	https://www.interfax.ru/chronicle/novyj-koronavirus-v-kitae.html	https://www.interfax.ru/chronicle/novyj-koronavirus-v-kitae.html	X
ijassa-1381	433	4	23	23	NUM
ijassa-1381	433	5	.	.	PUNCT
ijassa-1381	434	1	kaggle	kaggle	PROPN
ijassa-1381	434	2	source	source	NOUN
ijassa-1381	434	3	notebook	notebook	NOUN
ijassa-1381	434	4	with	with	ADP
ijassa-1381	434	5	the	the	DET
ijassa-1381	434	6	current	current	ADJ
ijassa-1381	434	7	research	research	NOUN
ijassa-1381	434	8	(	(	PUNCT
ijassa-1381	434	9	2022	2022	NUM
ijassa-1381	434	10	)	)	PUNCT
ijassa-1381	434	11	.	.	PUNCT
ijassa-1381	435	1	opinion	opinion	NOUN
ijassa-1381	435	2	dynamics	dynamic	NOUN
ijassa-1381	435	3	and	and	CCONJ
ijassa-1381	435	4	bert	bert	PROPN
ijassa-1381	435	5	covid-19	covid-19	PROPN
ijassa-1381	435	6	assa	assa	NOUN
ijassa-1381	435	7	,	,	PUNCT
ijassa-1381	436	1	[	[	X
ijassa-1381	436	2	online	online	X
ijassa-1381	436	3	]	]	X
ijassa-1381	436	4	.	.	PUNCT
ijassa-1381	437	1	available	available	ADJ
ijassa-1381	437	2	:	:	PUNCT
ijassa-1381	438	1	https://www.kaggle.com/code/vladislavmelnichuk/opinion-dynamics-and-bertcovid-19-assa	https://www.kaggle.com/code/vladislavmelnichuk/opinion-dynamics-and-bertcovid-19-assa	PROPN
ijassa-1381	438	2	24	24	NUM
ijassa-1381	438	3	.	.	PUNCT
ijassa-1381	438	4	kaggle	kaggle	PROPN
ijassa-1381	438	5	source	source	NOUN
ijassa-1381	438	6	dataset	dataset	NOUN
ijassa-1381	438	7	(	(	PUNCT
ijassa-1381	438	8	2022	2022	NUM
ijassa-1381	438	9	)	)	PUNCT
ijassa-1381	438	10	.	.	PUNCT
ijassa-1381	439	1	covid-19	covid-19	PROPN
ijassa-1381	439	2	data	datum	NOUN
ijassa-1381	439	3	vk	vk	ADP
ijassa-1381	439	4	commentaries	commentary	NOUN
ijassa-1381	439	5	,	,	PUNCT
ijassa-1381	439	6	[	[	X
ijassa-1381	439	7	online	online	X
ijassa-1381	439	8	]	]	X
ijassa-1381	439	9	.	.	PUNCT
ijassa-1381	440	1	available	available	ADJ
ijassa-1381	440	2	:	:	PUNCT
ijassa-1381	440	3	https://www.kaggle.com/datasets/vladislavmelnichuk/covid19-data-vk-comments	https://www.kaggle.com/datasets/vladislavmelnichuk/covid19-data-vk-comment	NOUN
ijassa-1381	440	4	25	25	NUM
ijassa-1381	440	5	.	.	PUNCT
ijassa-1381	440	6	kyriakides	kyriakides	PROPN
ijassa-1381	440	7	g.	g.	PROPN
ijassa-1381	440	8	&	&	CCONJ
ijassa-1381	440	9	margaritis	margaritis	PROPN
ijassa-1381	440	10	k.	k.	PROPN
ijassa-1381	440	11	(	(	PUNCT
ijassa-1381	440	12	2019	2019	NUM
ijassa-1381	440	13	)	)	PUNCT
ijassa-1381	440	14	hands	hand	NOUN
ijassa-1381	440	15	-	-	PUNCT
ijassa-1381	440	16	on	on	ADP
ijassa-1381	440	17	ensemble	ensemble	ADJ
ijassa-1381	440	18	learning	learning	NOUN
ijassa-1381	440	19	with	with	ADP
ijassa-1381	440	20	python	python	NOUN
ijassa-1381	440	21	:	:	PUNCT
ijassa-1381	440	22	build	build	VERB
ijassa-1381	440	23	highly	highly	ADV
ijassa-1381	440	24	optimized	optimize	VERB
ijassa-1381	440	25	ensemble	ensemble	ADJ
ijassa-1381	440	26	machine	machine	NOUN
ijassa-1381	440	27	learning	learning	NOUN
ijassa-1381	440	28	models	model	NOUN
ijassa-1381	440	29	using	use	VERB
ijassa-1381	440	30	scikit	scikit	NOUN
ijassa-1381	440	31	-	-	PUNCT
ijassa-1381	440	32	learn	learn	NOUN
ijassa-1381	440	33	and	and	CCONJ
ijassa-1381	440	34	keras	keras	PROPN
ijassa-1381	440	35	.	.	PUNCT
ijassa-1381	441	1	birmingham	birmingham	PROPN
ijassa-1381	441	2	,	,	PUNCT
ijassa-1381	441	3	united	united	ADJ
ijassa-1381	441	4	kingdom	kingdom	PROPN
ijassa-1381	441	5	:	:	PUNCT
ijassa-1381	441	6	packt	packt	PROPN
ijassa-1381	441	7	publishing	publishing	NOUN
ijassa-1381	441	8	,	,	PUNCT
ijassa-1381	442	1	[	[	X
ijassa-1381	442	2	online	online	X
ijassa-1381	442	3	]	]	X
ijassa-1381	442	4	.	.	PUNCT
ijassa-1381	443	1	available	available	ADJ
ijassa-1381	443	2	:	:	PUNCT
ijassa-1381	443	3	https://books.google.co.in/books?id=n4mkdwaaqbaj	https://books.google.co.in/books?id=n4mkdwaaqbaj	NOUN
ijassa-1381	443	4	26	26	NUM
ijassa-1381	443	5	.	.	PUNCT
ijassa-1381	444	1	lee	lee	PROPN
ijassa-1381	444	2	h.d	h.d	PROPN
ijassa-1381	444	3	.	.	PROPN
ijassa-1381	444	4	,	,	PUNCT
ijassa-1381	444	5	lee	lee	PROPN
ijassa-1381	444	6	s.	s.	PROPN
ijassa-1381	444	7	,	,	PUNCT
ijassa-1381	444	8	&	&	CCONJ
ijassa-1381	444	9	kang	kang	PROPN
ijassa-1381	444	10	u.	u.	PROPN
ijassa-1381	444	11	(	(	PUNCT
ijassa-1381	444	12	2021	2021	NUM
ijassa-1381	444	13	)	)	PUNCT
ijassa-1381	444	14	.	.	PUNCT
ijassa-1381	445	1	auber	auber	PROPN
ijassa-1381	445	2	:	:	PUNCT
ijassa-1381	445	3	automated	automate	VERB
ijassa-1381	445	4	bert	bert	PROPN
ijassa-1381	445	5	regularization	regularization	NOUN
ijassa-1381	445	6	.	.	PUNCT
ijassa-1381	446	1	plos	plos	PROPN
ijassa-1381	446	2	one	one	NUM
ijassa-1381	446	3	:	:	PUNCT
ijassa-1381	446	4	e0253241	e0253241	NOUN
ijassa-1381	446	5	,	,	PUNCT
ijassa-1381	446	6	16(6	16(6	NUM
ijassa-1381	446	7	)	)	PUNCT
ijassa-1381	446	8	,	,	PUNCT
ijassa-1381	447	1	[	[	X
ijassa-1381	447	2	online	online	X
ijassa-1381	447	3	]	]	X
ijassa-1381	447	4	.	.	PUNCT
ijassa-1381	448	1	available	available	ADJ
ijassa-1381	448	2	:	:	PUNCT
ijassa-1381	448	3	https://www.ncbi.nlm.nih.gov/pmc/articles/pmc8238198/	https://www.ncbi.nlm.nih.gov/pmc/articles/pmc8238198/	PROPN
ijassa-1381	448	4	,	,	PUNCT
ijassa-1381	448	5	https://doi.org/10.1371/journal.pone.0253241	https://doi.org/10.1371/journal.pone.0253241	PROPN
ijassa-1381	448	6	27	27	NUM
ijassa-1381	448	7	.	.	PUNCT
ijassa-1381	449	1	linear	linear	ADJ
ijassa-1381	449	2	regression	regression	NOUN
ijassa-1381	449	3	(	(	PUNCT
ijassa-1381	449	4	machine	machine	NOUN
ijassa-1381	449	5	learning	learning	NOUN
ijassa-1381	449	6	)	)	PUNCT
ijassa-1381	449	7	(	(	PUNCT
ijassa-1381	449	8	2003	2003	NUM
ijassa-1381	449	9	)	)	PUNCT
ijassa-1381	449	10	.	.	PUNCT
ijassa-1381	450	1	university	university	PROPN
ijassa-1381	450	2	of	of	ADP
ijassa-1381	450	3	pittsburgh	pittsburgh	PROPN
ijassa-1381	450	4	.	.	PUNCT
ijassa-1381	451	1	[	[	X
ijassa-1381	451	2	online	online	X
ijassa-1381	451	3	]	]	X
ijassa-1381	451	4	.	.	PUNCT
ijassa-1381	452	1	available	available	ADJ
ijassa-1381	452	2	:	:	PUNCT
ijassa-1381	452	3	https://people.cs.pitt.edu/	https://people.cs.pitt.edu/	PROPN
ijassa-1381	452	4	milos	milo	NOUN
ijassa-1381	452	5	/	/	SYM
ijassa-1381	452	6	courses	course	NOUN
ijassa-1381	452	7	/	/	SYM
ijassa-1381	452	8	cs2750	cs2750	NOUN
ijassa-1381	452	9	-	-	PUNCT
ijassa-1381	452	10	spring03	spring03	NOUN
ijassa-1381	452	11	/	/	SYM
ijassa-1381	452	12	lectures	lecture	NOUN
ijassa-1381	452	13	/	/	SYM
ijassa-1381	452	14	class6.pdf	class6.pdf	PRON
ijassa-1381	452	15	28	28	NUM
ijassa-1381	452	16	.	.	PUNCT
ijassa-1381	453	1	liu	liu	PROPN
ijassa-1381	453	2	j.	j.	PROPN
ijassa-1381	453	3	,	,	PUNCT
ijassa-1381	453	4	liu	liu	PROPN
ijassa-1381	453	5	p.	p.	PROPN
ijassa-1381	453	6	,	,	PUNCT
ijassa-1381	453	7	zhu	zhu	PROPN
ijassa-1381	453	8	z.	z.	PROPN
ijassa-1381	453	9	,	,	PUNCT
ijassa-1381	453	10	li	li	PROPN
ijassa-1381	453	11	x.	x.	PROPN
ijassa-1381	453	12	,	,	PUNCT
ijassa-1381	453	13	&	&	CCONJ
ijassa-1381	453	14	xu	xu	PROPN
ijassa-1381	453	15	g.	g.	PROPN
ijassa-1381	453	16	(	(	PUNCT
ijassa-1381	453	17	2021	2021	NUM
ijassa-1381	453	18	)	)	PUNCT
ijassa-1381	453	19	.	.	PUNCT
ijassa-1381	454	1	graph	graph	VERB
ijassa-1381	454	2	convolutional	convolutional	ADJ
ijassa-1381	454	3	networks	network	NOUN
ijassa-1381	454	4	with	with	ADP
ijassa-1381	454	5	bidirectional	bidirectional	ADJ
ijassa-1381	454	6	attention	attention	NOUN
ijassa-1381	454	7	for	for	ADP
ijassa-1381	454	8	aspect	aspect	NOUN
ijassa-1381	454	9	-	-	PUNCT
ijassa-1381	454	10	based	base	VERB
ijassa-1381	454	11	sentiment	sentiment	NOUN
ijassa-1381	454	12	classification	classification	NOUN
ijassa-1381	454	13	.	.	PUNCT
ijassa-1381	455	1	applied	apply	VERB
ijassa-1381	455	2	sciences	science	NOUN
ijassa-1381	455	3	,	,	PUNCT
ijassa-1381	455	4	11(4	11(4	NUM
ijassa-1381	455	5	)	)	PUNCT
ijassa-1381	455	6	,	,	PUNCT
ijassa-1381	455	7	1528	1528	NUM
ijassa-1381	455	8	,	,	PUNCT
ijassa-1381	455	9	3–10	3–10	NOUN
ijassa-1381	455	10	.	.	PUNCT
ijassa-1381	455	11	29	29	NUM
ijassa-1381	455	12	.	.	PUNCT
ijassa-1381	456	1	liu	liu	PROPN
ijassa-1381	456	2	y.	y.	PROPN
ijassa-1381	456	3	,	,	PUNCT
ijassa-1381	456	4	ott	ott	PROPN
ijassa-1381	456	5	m.	m.	NOUN
ijassa-1381	456	6	,	,	PUNCT
ijassa-1381	456	7	goyal	goyal	PROPN
ijassa-1381	456	8	n.	n.	PROPN
ijassa-1381	456	9	,	,	PUNCT
ijassa-1381	456	10	du	du	PROPN
ijassa-1381	456	11	j.	j.	PROPN
ijassa-1381	456	12	,	,	PUNCT
ijassa-1381	456	13	joshi	joshi	PROPN
ijassa-1381	456	14	m.	m.	PROPN
ijassa-1381	456	15	,	,	PUNCT
ijassa-1381	456	16	et	et	NOUN
ijassa-1381	456	17	.	.	PUNCT
ijassa-1381	457	1	al	al	PROPN
ijassa-1381	457	2	.	.	PROPN
ijassa-1381	458	1	(	(	PUNCT
ijassa-1381	458	2	2019	2019	NUM
ijassa-1381	458	3	)	)	PUNCT
ijassa-1381	458	4	.	.	PUNCT
ijassa-1381	459	1	roberta	roberta	PROPN
ijassa-1381	459	2	:	:	PUNCT
ijassa-1381	459	3	a	a	DET
ijassa-1381	459	4	robustly	robustly	ADV
ijassa-1381	459	5	optimized	optimize	VERB
ijassa-1381	459	6	bert	bert	NOUN
ijassa-1381	459	7	pretraining	pretraine	VERB
ijassa-1381	459	8	approach	approach	NOUN
ijassa-1381	459	9	.	.	PUNCT
ijassa-1381	460	1	arxiv	arxiv	NOUN
ijassa-1381	460	2	:	:	PUNCT
ijassa-1381	460	3	1907.11692	1907.11692	NUM
ijassa-1381	460	4	,	,	PUNCT
ijassa-1381	460	5	[	[	X
ijassa-1381	460	6	online	online	X
ijassa-1381	460	7	]	]	X
ijassa-1381	460	8	.	.	PUNCT
ijassa-1381	461	1	available	available	ADJ
ijassa-1381	461	2	:	:	PUNCT
ijassa-1381	461	3	https://arxiv.org/abs/1907.11692	https://arxiv.org/abs/1907.11692	PROPN
ijassa-1381	461	4	30	30	NUM
ijassa-1381	461	5	.	.	PUNCT
ijassa-1381	462	1	malik	malik	PROPN
ijassa-1381	462	2	a.	a.	PROPN
ijassa-1381	462	3	,	,	PUNCT
ijassa-1381	462	4	mcfadden	mcfadden	PROPN
ijassa-1381	462	5	s.	s.	PROPN
ijassa-1381	462	6	,	,	PUNCT
ijassa-1381	462	7	elharake	elharake	PROPN
ijassa-1381	462	8	j.	j.	PROPN
ijassa-1381	462	9	,	,	PUNCT
ijassa-1381	462	10	&	&	CCONJ
ijassa-1381	462	11	omer	omer	PROPN
ijassa-1381	462	12	s.	s.	PROPN
ijassa-1381	462	13	(	(	PUNCT
ijassa-1381	462	14	2020	2020	NUM
ijassa-1381	462	15	)	)	PUNCT
ijassa-1381	462	16	.	.	PUNCT
ijassa-1381	463	1	determinants	determinant	NOUN
ijassa-1381	463	2	of	of	ADP
ijassa-1381	463	3	covid-19	covid-19	PROPN
ijassa-1381	463	4	vaccine	vaccine	NOUN
ijassa-1381	463	5	acceptance	acceptance	NOUN
ijassa-1381	463	6	in	in	ADP
ijassa-1381	463	7	the	the	DET
ijassa-1381	463	8	us	us	PROPN
ijassa-1381	463	9	.	.	PUNCT
ijassa-1381	464	1	eclinicalmedicine	eclinicalmedicine	PROPN
ijassa-1381	464	2	:	:	PUNCT
ijassa-1381	464	3	100495	100495	NUM
ijassa-1381	464	4	,	,	PUNCT
ijassa-1381	464	5	26(1	26(1	NUM
ijassa-1381	464	6	)	)	PUNCT
ijassa-1381	464	7	.	.	PUNCT
ijassa-1381	465	1	31	31	NUM
ijassa-1381	465	2	.	.	PUNCT
ijassa-1381	465	3	nezhad	nezhad	VERB
ijassa-1381	465	4	z.b	z.b	PROPN
ijassa-1381	465	5	.	.	PROPN
ijassa-1381	465	6	&	&	CCONJ
ijassa-1381	465	7	deihimi	deihimi	PROPN
ijassa-1381	465	8	m.a	m.a	PROPN
ijassa-1381	465	9	.	.	PROPN
ijassa-1381	465	10	(	(	PUNCT
ijassa-1381	465	11	2022	2022	NUM
ijassa-1381	465	12	)	)	PUNCT
ijassa-1381	465	13	.	.	PUNCT
ijassa-1381	466	1	twitter	twitter	NOUN
ijassa-1381	466	2	sentiment	sentiment	NOUN
ijassa-1381	466	3	analysis	analysis	NOUN
ijassa-1381	466	4	from	from	ADP
ijassa-1381	466	5	iran	iran	PROPN
ijassa-1381	466	6	about	about	ADP
ijassa-1381	466	7	covid	covid	PROPN
ijassa-1381	466	8	19	19	NUM
ijassa-1381	466	9	vaccine	vaccine	NOUN
ijassa-1381	466	10	.	.	PUNCT
ijassa-1381	467	1	diabetes&metabolic	diabetes&metabolic	PROPN
ijassa-1381	467	2	syndrome	syndrome	PROPN
ijassa-1381	467	3	:	:	PUNCT
ijassa-1381	467	4	102367	102367	NUM
ijassa-1381	467	5	,	,	PUNCT
ijassa-1381	467	6	16(1	16(1	NUM
ijassa-1381	467	7	)	)	PUNCT
ijassa-1381	467	8	.	.	PUNCT
ijassa-1381	468	1	copyright	copyright	NOUN
ijassa-1381	468	2	©	©	PROPN
ijassa-1381	468	3	2023	2023	NUM
ijassa-1381	468	4	assa	assa	NOUN
ijassa-1381	468	5	.	.	PUNCT
ijassa-1381	469	1	adv	adv	PROPN
ijassa-1381	469	2	syst	syst	PROPN
ijassa-1381	469	3	sci	sci	PROPN
ijassa-1381	469	4	appl	appl	PROPN
ijassa-1381	469	5	(	(	PUNCT
ijassa-1381	469	6	2023	2023	NUM
ijassa-1381	469	7	)	)	PUNCT
ijassa-1381	469	8	126	126	NUM
ijassa-1381	469	9	d.	d.	PROPN
ijassa-1381	469	10	gubanov	gubanov	PROPN
ijassa-1381	469	11	,	,	PUNCT
ijassa-1381	469	12	a.	a.	NOUN
ijassa-1381	469	13	chkhartishvili	chkhartishvili	NOUN
ijassa-1381	469	14	,	,	PUNCT
ijassa-1381	469	15	v.	v.	CCONJ
ijassa-1381	469	16	melnichuk	melnichuk	PROPN
ijassa-1381	469	17	,	,	PUNCT
ijassa-1381	469	18	v.	v.	ADP
ijassa-1381	469	19	sych	sych	PROPN
ijassa-1381	469	20	32	32	NUM
ijassa-1381	469	21	.	.	PUNCT
ijassa-1381	470	1	piedrahita	piedrahita	PROPN
ijassa-1381	470	2	-	-	PUNCT
ijassa-1381	470	3	valdes	valde	NOUN
ijassa-1381	470	4	h.	h.	PROPN
ijassa-1381	470	5	,	,	PUNCT
ijassa-1381	470	6	piedrahita	piedrahita	PROPN
ijassa-1381	470	7	-	-	PUNCT
ijassa-1381	470	8	castillo	castillo	PROPN
ijassa-1381	470	9	d.	d.	PROPN
ijassa-1381	470	10	,	,	PUNCT
ijassa-1381	470	11	bermejo	bermejo	ADJ
ijassa-1381	470	12	-	-	PUNCT
ijassa-1381	470	13	higuera	higuera	NOUN
ijassa-1381	470	14	j.	j.	PROPN
ijassa-1381	470	15	,	,	PUNCT
ijassa-1381	470	16	guillem	guillem	PROPN
ijassa-1381	470	17	-	-	PUNCT
ijassa-1381	470	18	saiz	saiz	PROPN
ijassa-1381	470	19	p.	p.	PROPN
ijassa-1381	470	20	,	,	PUNCT
ijassa-1381	470	21	bermejo	bermejo	ADJ
ijassa-1381	470	22	-	-	PUNCT
ijassa-1381	470	23	higuera	higuera	NOUN
ijassa-1381	470	24	j.r	j.r	PROPN
ijassa-1381	470	25	.	.	PROPN
ijassa-1381	470	26	,	,	PUNCT
ijassa-1381	470	27	et	et	PROPN
ijassa-1381	470	28	.	.	PUNCT
ijassa-1381	471	1	al	al	PROPN
ijassa-1381	471	2	.	.	PROPN
ijassa-1381	472	1	(	(	PUNCT
ijassa-1381	472	2	2021	2021	NUM
ijassa-1381	472	3	)	)	PUNCT
ijassa-1381	472	4	.	.	PUNCT
ijassa-1381	473	1	vaccine	vaccine	NOUN
ijassa-1381	473	2	hesitancy	hesitancy	NOUN
ijassa-1381	473	3	on	on	ADP
ijassa-1381	473	4	social	social	ADJ
ijassa-1381	473	5	media	medium	NOUN
ijassa-1381	473	6	:	:	PUNCT
ijassa-1381	473	7	sentiment	sentiment	NOUN
ijassa-1381	473	8	analysis	analysis	NOUN
ijassa-1381	473	9	from	from	ADP
ijassa-1381	473	10	june	june	PROPN
ijassa-1381	473	11	2011	2011	NUM
ijassa-1381	473	12	to	to	ADP
ijassa-1381	473	13	april	april	PROPN
ijassa-1381	473	14	2019	2019	NUM
ijassa-1381	473	15	.	.	PUNCT
ijassa-1381	474	1	vaccines	vaccine	NOUN
ijassa-1381	474	2	,	,	PUNCT
ijassa-1381	474	3	9(1):28	9(1):28	NUM
ijassa-1381	474	4	,	,	PUNCT
ijassa-1381	474	5	[	[	X
ijassa-1381	474	6	online	online	X
ijassa-1381	474	7	]	]	X
ijassa-1381	474	8	.	.	PUNCT
ijassa-1381	475	1	available	available	ADJ
ijassa-1381	475	2	:	:	PUNCT
ijassa-1381	475	3	https://doi.org/10.3390/vaccines9010028	https://doi.org/10.3390/vaccines9010028	PROPN
ijassa-1381	475	4	33	33	NUM
ijassa-1381	475	5	.	.	PUNCT
ijassa-1381	476	1	pogue	pogue	PROPN
ijassa-1381	476	2	k.	k.	PROPN
ijassa-1381	476	3	,	,	PUNCT
ijassa-1381	476	4	jensen	jensen	PROPN
ijassa-1381	476	5	j.l	j.l	PROPN
ijassa-1381	476	6	.	.	PROPN
ijassa-1381	476	7	,	,	PUNCT
ijassa-1381	476	8	stancil	stancil	PROPN
ijassa-1381	476	9	c.k	c.k	PROPN
ijassa-1381	476	10	.	.	PROPN
ijassa-1381	476	11	,	,	PUNCT
ijassa-1381	476	12	ferguson	ferguson	PROPN
ijassa-1381	476	13	d.g	d.g	PROPN
ijassa-1381	476	14	.	.	PROPN
ijassa-1381	476	15	,	,	PUNCT
ijassa-1381	476	16	hughes	hughes	PROPN
ijassa-1381	476	17	s.j	s.j	PROPN
ijassa-1381	476	18	.	.	PROPN
ijassa-1381	476	19	,	,	PUNCT
ijassa-1381	476	20	et	et	PROPN
ijassa-1381	476	21	.	.	PUNCT
ijassa-1381	477	1	al	al	PROPN
ijassa-1381	477	2	.	.	PROPN
ijassa-1381	477	3	(	(	PUNCT
ijassa-1381	477	4	2020	2020	NUM
ijassa-1381	477	5	)	)	PUNCT
ijassa-1381	477	6	.	.	PUNCT
ijassa-1381	478	1	influences	influence	NOUN
ijassa-1381	478	2	on	on	ADP
ijassa-1381	478	3	attitudes	attitude	NOUN
ijassa-1381	478	4	regarding	regard	VERB
ijassa-1381	478	5	potential	potential	ADJ
ijassa-1381	478	6	covid-19	covid-19	PROPN
ijassa-1381	478	7	vaccination	vaccination	NOUN
ijassa-1381	478	8	in	in	ADP
ijassa-1381	478	9	the	the	DET
ijassa-1381	478	10	united	united	PROPN
ijassa-1381	478	11	states	states	PROPN
ijassa-1381	478	12	.	.	PUNCT
ijassa-1381	479	1	vaccines	vaccine	NOUN
ijassa-1381	479	2	,	,	PUNCT
ijassa-1381	479	3	8(4	8(4	NUM
ijassa-1381	479	4	)	)	PUNCT
ijassa-1381	479	5	,	,	PUNCT
ijassa-1381	479	6	582	582	NUM
ijassa-1381	479	7	.	.	NOUN
ijassa-1381	479	8	34	34	NUM
ijassa-1381	479	9	.	.	PUNCT
ijassa-1381	480	1	praveen	praveen	PROPN
ijassa-1381	480	2	s.	s.	PROPN
ijassa-1381	480	3	,	,	PUNCT
ijassa-1381	480	4	ittamalla	ittamalla	PROPN
ijassa-1381	480	5	r.	r.	PROPN
ijassa-1381	480	6	&	&	CCONJ
ijassa-1381	480	7	deepak	deepak	PROPN
ijassa-1381	480	8	g.	g.	PROPN
ijassa-1381	480	9	(	(	PUNCT
ijassa-1381	480	10	2021	2021	NUM
ijassa-1381	480	11	)	)	PUNCT
ijassa-1381	480	12	.	.	PUNCT
ijassa-1381	481	1	analyzing	analyze	VERB
ijassa-1381	481	2	the	the	DET
ijassa-1381	481	3	attitude	attitude	NOUN
ijassa-1381	481	4	of	of	ADP
ijassa-1381	481	5	indian	indian	ADJ
ijassa-1381	481	6	citizens	citizen	NOUN
ijassa-1381	481	7	towards	towards	ADP
ijassa-1381	481	8	covid-19	covid-19	PROPN
ijassa-1381	481	9	vaccine	vaccine	NOUN
ijassa-1381	481	10	a	a	DET
ijassa-1381	481	11	text	text	NOUN
ijassa-1381	481	12	analytics	analytic	NOUN
ijassa-1381	481	13	study	study	NOUN
ijassa-1381	481	14	.	.	PUNCT
ijassa-1381	482	1	diabetes&metabolic	diabetes&metabolic	PROPN
ijassa-1381	482	2	syndrome	syndrome	PROPN
ijassa-1381	482	3	:	:	PUNCT
ijassa-1381	482	4	clinical	clinical	ADJ
ijassa-1381	482	5	research&reviews	research&review	NOUN
ijassa-1381	482	6	,	,	PUNCT
ijassa-1381	482	7	15(2	15(2	NUM
ijassa-1381	482	8	)	)	PUNCT
ijassa-1381	482	9	,	,	PUNCT
ijassa-1381	482	10	595-–599	595-–599	NUM
ijassa-1381	482	11	.	.	PROPN
ijassa-1381	482	12	35	35	NUM
ijassa-1381	482	13	.	.	PUNCT
ijassa-1381	483	1	samuel	samuel	PROPN
ijassa-1381	483	2	j.	j.	PROPN
ijassa-1381	483	3	,	,	PUNCT
ijassa-1381	483	4	ali	ali	PROPN
ijassa-1381	483	5	g.g.m.n	g.g.m.n	PROPN
ijassa-1381	483	6	.	.	PROPN
ijassa-1381	483	7	,	,	PUNCT
ijassa-1381	483	8	rahman	rahman	PROPN
ijassa-1381	483	9	m.m	m.m	PROPN
ijassa-1381	483	10	.	.	PROPN
ijassa-1381	483	11	,	,	PUNCT
ijassa-1381	483	12	esawi	esawi	PROPN
ijassa-1381	483	13	e.	e.	PROPN
ijassa-1381	483	14	,	,	PUNCT
ijassa-1381	483	15	&	&	CCONJ
ijassa-1381	483	16	samuel	samuel	PROPN
ijassa-1381	483	17	y.	y.	PROPN
ijassa-1381	483	18	(	(	PUNCT
ijassa-1381	483	19	2020	2020	NUM
ijassa-1381	483	20	)	)	PUNCT
ijassa-1381	483	21	.	.	PUNCT
ijassa-1381	484	1	covid-19	covid-19	PROPN
ijassa-1381	484	2	public	public	ADJ
ijassa-1381	484	3	sentiment	sentiment	NOUN
ijassa-1381	484	4	insights	insight	NOUN
ijassa-1381	484	5	and	and	CCONJ
ijassa-1381	484	6	machine	machine	NOUN
ijassa-1381	484	7	learning	learn	VERB
ijassa-1381	484	8	for	for	ADP
ijassa-1381	484	9	tweets	tweet	NOUN
ijassa-1381	484	10	classification	classification	NOUN
ijassa-1381	484	11	.	.	PUNCT
ijassa-1381	485	1	information	information	NOUN
ijassa-1381	485	2	,	,	PUNCT
ijassa-1381	485	3	11(6	11(6	NUM
ijassa-1381	485	4	)	)	PUNCT
ijassa-1381	485	5	,	,	PUNCT
ijassa-1381	486	1	[	[	X
ijassa-1381	486	2	online	online	X
ijassa-1381	486	3	]	]	X
ijassa-1381	486	4	.	.	PUNCT
ijassa-1381	487	1	available	available	ADJ
ijassa-1381	487	2	:	:	PUNCT
ijassa-1381	487	3	https://www.mdpi.com/2078-2489/11/6/314	https://www.mdpi.com/2078-2489/11/6/314	ADJ
ijassa-1381	487	4	,	,	PUNCT
ijassa-1381	487	5	https://doi.org/10.3390/info11060314	https://doi.org/10.3390/info11060314	NOUN
ijassa-1381	487	6	36	36	NUM
ijassa-1381	487	7	.	.	PUNCT
ijassa-1381	488	1	sarkar	sarkar	PROPN
ijassa-1381	488	2	d.	d.	PROPN
ijassa-1381	488	3	&	&	CCONJ
ijassa-1381	488	4	natarajan	natarajan	PROPN
ijassa-1381	488	5	v.	v.	PROPN
ijassa-1381	488	6	(	(	PUNCT
ijassa-1381	488	7	2019	2019	NUM
ijassa-1381	488	8	)	)	PUNCT
ijassa-1381	488	9	ensemble	ensemble	ADJ
ijassa-1381	488	10	machine	machine	NOUN
ijassa-1381	488	11	learning	learning	NOUN
ijassa-1381	488	12	cookbook	cookbook	NOUN
ijassa-1381	488	13	:	:	PUNCT
ijassa-1381	488	14	over	over	ADP
ijassa-1381	488	15	35	35	NUM
ijassa-1381	488	16	practical	practical	ADJ
ijassa-1381	488	17	recipes	recipe	NOUN
ijassa-1381	488	18	to	to	PART
ijassa-1381	488	19	explore	explore	VERB
ijassa-1381	488	20	ensemble	ensemble	ADJ
ijassa-1381	488	21	machine	machine	NOUN
ijassa-1381	488	22	learning	learn	VERB
ijassa-1381	488	23	techniques	technique	NOUN
ijassa-1381	488	24	using	use	VERB
ijassa-1381	488	25	python	python	NOUN
ijassa-1381	488	26	.	.	PUNCT
ijassa-1381	489	1	birmingham	birmingham	PROPN
ijassa-1381	489	2	,	,	PUNCT
ijassa-1381	489	3	united	united	ADJ
ijassa-1381	489	4	kingdom	kingdom	PROPN
ijassa-1381	489	5	:	:	PUNCT
ijassa-1381	489	6	packt	packt	PROPN
ijassa-1381	489	7	publishing	publishing	NOUN
ijassa-1381	489	8	,	,	PUNCT
ijassa-1381	490	1	[	[	X
ijassa-1381	490	2	online	online	X
ijassa-1381	490	3	]	]	X
ijassa-1381	490	4	.	.	PUNCT
ijassa-1381	491	1	available	available	ADJ
ijassa-1381	491	2	:	:	PUNCT
ijassa-1381	491	3	https://books.google.co.in/books?id=dcwgdwaaqbaj	https://books.google.co.in/books?id=dcwgdwaaqbaj	PROPN
ijassa-1381	491	4	37	37	NUM
ijassa-1381	491	5	.	.	PUNCT
ijassa-1381	492	1	scarselli	scarselli	PROPN
ijassa-1381	492	2	f.	f.	PROPN
ijassa-1381	492	3	,	,	PUNCT
ijassa-1381	492	4	gori	gori	PROPN
ijassa-1381	492	5	m.	m.	PROPN
ijassa-1381	492	6	,	,	PUNCT
ijassa-1381	492	7	tsoi	tsoi	PROPN
ijassa-1381	492	8	a.c	a.c	PROPN
ijassa-1381	492	9	.	.	PROPN
ijassa-1381	492	10	,	,	PUNCT
ijassa-1381	492	11	hagenbuchner	hagenbuchn	ADJ
ijassa-1381	492	12	m.	m.	NOUN
ijassa-1381	492	13	,	,	PUNCT
ijassa-1381	492	14	monfardini	monfardini	PROPN
ijassa-1381	492	15	g.	g.	PROPN
ijassa-1381	492	16	,	,	PUNCT
ijassa-1381	492	17	et	et	PROPN
ijassa-1381	492	18	.	.	PUNCT
ijassa-1381	493	1	al	al	PROPN
ijassa-1381	493	2	.	.	PROPN
ijassa-1381	494	1	(	(	PUNCT
ijassa-1381	494	2	2009	2009	NUM
ijassa-1381	494	3	)	)	PUNCT
ijassa-1381	494	4	the	the	DET
ijassa-1381	494	5	graph	graph	NOUN
ijassa-1381	494	6	neural	neural	ADJ
ijassa-1381	494	7	network	network	NOUN
ijassa-1381	494	8	model	model	NOUN
ijassa-1381	494	9	.	.	PUNCT
ijassa-1381	495	1	ieee	ieee	NOUN
ijassa-1381	495	2	transactions	transaction	NOUN
ijassa-1381	495	3	on	on	ADP
ijassa-1381	495	4	neural	neural	ADJ
ijassa-1381	495	5	networks	network	NOUN
ijassa-1381	495	6	,	,	PUNCT
ijassa-1381	495	7	20(1	20(1	NUM
ijassa-1381	495	8	):	):	PUNCT
ijassa-1381	495	9	61-–80	61-–80	NUM
ijassa-1381	495	10	.	.	PUNCT
ijassa-1381	496	1	[	[	X
ijassa-1381	496	2	online	online	X
ijassa-1381	496	3	]	]	X
ijassa-1381	496	4	.	.	PUNCT
ijassa-1381	497	1	available	available	ADJ
ijassa-1381	497	2	:	:	PUNCT
ijassa-1381	497	3	http://digital.library.wisc.edu/1793/60660	http://digital.library.wisc.edu/1793/60660	PROPN
ijassa-1381	497	4	38	38	NUM
ijassa-1381	497	5	.	.	PUNCT
ijassa-1381	498	1	settles	settles	PROPN
ijassa-1381	498	2	b.	b.	PROPN
ijassa-1381	498	3	(	(	PUNCT
ijassa-1381	498	4	2009	2009	NUM
ijassa-1381	498	5	)	)	PUNCT
ijassa-1381	498	6	active	active	ADJ
ijassa-1381	498	7	learning	learn	VERB
ijassa-1381	498	8	literature	literature	NOUN
ijassa-1381	498	9	survey	survey	NOUN
ijassa-1381	498	10	.	.	PUNCT
ijassa-1381	499	1	university	university	NOUN
ijassa-1381	499	2	of	of	ADP
ijassa-1381	499	3	wisconsinmadison	wisconsinmadison	PROPN
ijassa-1381	499	4	department	department	PROPN
ijassa-1381	499	5	of	of	ADP
ijassa-1381	499	6	computer	computer	NOUN
ijassa-1381	499	7	sciences	science	NOUN
ijassa-1381	499	8	,	,	PUNCT
ijassa-1381	500	1	[	[	X
ijassa-1381	500	2	online	online	X
ijassa-1381	500	3	]	]	X
ijassa-1381	500	4	.	.	PUNCT
ijassa-1381	501	1	available	available	ADJ
ijassa-1381	501	2	:	:	PUNCT
ijassa-1381	501	3	http://digital.library.wisc.edu/1793/60660	http://digital.library.wisc.edu/1793/60660	PROPN
ijassa-1381	501	4	39	39	NUM
ijassa-1381	501	5	.	.	PUNCT
ijassa-1381	502	1	shen	shen	PROPN
ijassa-1381	502	2	f.	f.	PROPN
ijassa-1381	502	3	,	,	PUNCT
ijassa-1381	502	4	zhao	zhao	PROPN
ijassa-1381	502	5	x.	x.	PROPN
ijassa-1381	502	6	,	,	PUNCT
ijassa-1381	502	7	li	li	PROPN
ijassa-1381	502	8	z.	z.	PROPN
ijassa-1381	502	9	,	,	PUNCT
ijassa-1381	502	10	li	li	PROPN
ijassa-1381	502	11	k.	k.	PROPN
ijassa-1381	502	12	,	,	PUNCT
ijassa-1381	502	13	&	&	CCONJ
ijassa-1381	502	14	meng	meng	PROPN
ijassa-1381	502	15	z.	z.	PROPN
ijassa-1381	502	16	(	(	PUNCT
ijassa-1381	502	17	2019	2019	NUM
ijassa-1381	502	18	)	)	PUNCT
ijassa-1381	502	19	.	.	PUNCT
ijassa-1381	503	1	a	a	DET
ijassa-1381	503	2	novel	novel	ADJ
ijassa-1381	503	3	ensemble	ensemble	ADJ
ijassa-1381	503	4	classification	classification	NOUN
ijassa-1381	503	5	model	model	NOUN
ijassa-1381	503	6	based	base	VERB
ijassa-1381	503	7	on	on	ADP
ijassa-1381	503	8	neural	neural	ADJ
ijassa-1381	503	9	networks	network	NOUN
ijassa-1381	503	10	and	and	CCONJ
ijassa-1381	503	11	a	a	DET
ijassa-1381	503	12	classifier	classifier	NOUN
ijassa-1381	503	13	optimisation	optimisation	NOUN
ijassa-1381	503	14	technique	technique	NOUN
ijassa-1381	503	15	for	for	ADP
ijassa-1381	503	16	imbalanced	imbalanced	ADJ
ijassa-1381	503	17	credit	credit	NOUN
ijassa-1381	503	18	risk	risk	NOUN
ijassa-1381	503	19	evaluation	evaluation	NOUN
ijassa-1381	503	20	.	.	PUNCT
ijassa-1381	504	1	physica	physica	PROPN
ijassa-1381	504	2	a	a	DET
ijassa-1381	504	3	:	:	PUNCT
ijassa-1381	504	4	statistical	statistical	ADJ
ijassa-1381	504	5	mechanics	mechanic	NOUN
ijassa-1381	504	6	and	and	CCONJ
ijassa-1381	504	7	its	its	PRON
ijassa-1381	504	8	applications	application	NOUN
ijassa-1381	504	9	:	:	PUNCT
ijassa-1381	504	10	121073	121073	NUM
ijassa-1381	504	11	,	,	PUNCT
ijassa-1381	504	12	526(1	526(1	NUM
ijassa-1381	504	13	)	)	PUNCT
ijassa-1381	504	14	.	.	PUNCT
ijassa-1381	505	1	40	40	NUM
ijassa-1381	505	2	.	.	PUNCT
ijassa-1381	506	1	world	world	PROPN
ijassa-1381	506	2	health	health	PROPN
ijassa-1381	506	3	organization	organization	PROPN
ijassa-1381	506	4	.	.	PUNCT
ijassa-1381	507	1	(	(	PUNCT
ijassa-1381	507	2	2020	2020	NUM
ijassa-1381	507	3	,	,	PUNCT
ijassa-1381	507	4	march	march	PROPN
ijassa-1381	507	5	15	15	NUM
ijassa-1381	507	6	)	)	PUNCT
ijassa-1381	507	7	.	.	PUNCT
ijassa-1381	508	1	global	global	ADJ
ijassa-1381	508	2	situation	situation	NOUN
ijassa-1381	508	3	report-55	report-55	PROPN
ijassa-1381	508	4	.	.	PUNCT
ijassa-1381	509	1	[	[	X
ijassa-1381	509	2	online	online	X
ijassa-1381	509	3	]	]	X
ijassa-1381	509	4	.	.	PUNCT
ijassa-1381	510	1	available	available	ADJ
ijassa-1381	510	2	:	:	PUNCT
ijassa-1381	511	1	https://www.who.int/publications/m/item/situation-report—55	https://www.who.int/publications/m/item/situation-report—55	PROPN
ijassa-1381	511	2	copyright	copyright	NOUN
ijassa-1381	511	3	©	©	PROPN
ijassa-1381	511	4	2023	2023	NUM
ijassa-1381	511	5	assa	assa	NOUN
ijassa-1381	511	6	.	.	PUNCT
ijassa-1381	512	1	adv	adv	PROPN
ijassa-1381	512	2	syst	syst	PROPN
ijassa-1381	512	3	sci	sci	PROPN
ijassa-1381	512	4	appl	appl	PROPN
ijassa-1381	512	5	(	(	PUNCT
ijassa-1381	512	6	2023	2023	NUM
ijassa-1381	512	7	)	)	PUNCT
ijassa-1381	512	8	introduction	introduction	NOUN
ijassa-1381	512	9	novelty	novelty	NOUN
ijassa-1381	512	10	of	of	ADP
ijassa-1381	512	11	the	the	DET
ijassa-1381	512	12	proposed	propose	VERB
ijassa-1381	512	13	work	work	NOUN
ijassa-1381	512	14	preliminary	preliminary	ADJ
ijassa-1381	512	15	data	datum	NOUN
ijassa-1381	512	16	analysis	analysis	NOUN
ijassa-1381	512	17	for	for	ADP
ijassa-1381	512	18	opinion	opinion	NOUN
ijassa-1381	512	19	dynamics	dynamic	NOUN
ijassa-1381	512	20	user	user	NOUN
ijassa-1381	512	21	commentaries	commentary	NOUN
ijassa-1381	512	22	distribution	distribution	NOUN
ijassa-1381	512	23	distributions	distribution	NOUN
ijassa-1381	512	24	by	by	ADP
ijassa-1381	512	25	groups	group	NOUN
ijassa-1381	512	26	and	and	CCONJ
ijassa-1381	512	27	posts	post	NOUN
ijassa-1381	512	28	identifying	identify	VERB
ijassa-1381	512	29	a	a	DET
ijassa-1381	512	30	network	network	NOUN
ijassa-1381	512	31	environment	environment	NOUN
ijassa-1381	512	32	of	of	ADP
ijassa-1381	512	33	users	user	NOUN
ijassa-1381	512	34	visualization	visualization	NOUN
ijassa-1381	512	35	and	and	CCONJ
ijassa-1381	512	36	characterization	characterization	NOUN
ijassa-1381	512	37	of	of	ADP
ijassa-1381	512	38	the	the	DET
ijassa-1381	512	39	interaction	interaction	NOUN
ijassa-1381	512	40	graph	graph	VERB
ijassa-1381	512	41	the	the	DET
ijassa-1381	512	42	dynamics	dynamic	NOUN
ijassa-1381	512	43	of	of	ADP
ijassa-1381	512	44	opinions	opinion	NOUN
ijassa-1381	512	45	on	on	ADP
ijassa-1381	512	46	covid-19	covid-19	PROPN
ijassa-1381	512	47	task	task	NOUN
ijassa-1381	512	48	identifying	identify	VERB
ijassa-1381	512	49	opinions	opinion	NOUN
ijassa-1381	512	50	on	on	ADP
ijassa-1381	512	51	vaccination	vaccination	NOUN
ijassa-1381	512	52	data	datum	NOUN
ijassa-1381	512	53	gathering	gather	VERB
ijassa-1381	512	54	data	datum	NOUN
ijassa-1381	512	55	source	source	NOUN
ijassa-1381	512	56	and	and	CCONJ
ijassa-1381	512	57	origins	origin	NOUN
ijassa-1381	512	58	data	datum	NOUN
ijassa-1381	512	59	anonymization	anonymization	NOUN
ijassa-1381	512	60	and	and	CCONJ
ijassa-1381	512	61	ethics	ethic	NOUN
ijassa-1381	512	62	relevance	relevance	NOUN
ijassa-1381	512	63	to	to	ADP
ijassa-1381	512	64	the	the	DET
ijassa-1381	512	65	study	study	NOUN
ijassa-1381	512	66	data	datum	NOUN
ijassa-1381	512	67	preprocessing	preprocesse	VERB
ijassa-1381	512	68	data	datum	NOUN
ijassa-1381	512	69	labelling	labelling	NOUN
ijassa-1381	512	70	opinion	opinion	NOUN
ijassa-1381	512	71	analysis	analysis	NOUN
ijassa-1381	512	72	logistic	logistic	ADJ
ijassa-1381	512	73	regression	regression	NOUN
ijassa-1381	512	74	gradient	gradient	NOUN
ijassa-1381	512	75	boosting	boost	VERB
ijassa-1381	512	76	extreme	extreme	ADJ
ijassa-1381	512	77	gradient	gradient	NOUN
ijassa-1381	512	78	boosting	boost	VERB
ijassa-1381	512	79	bert	bert	NOUN
ijassa-1381	512	80	-	-	PUNCT
ijassa-1381	512	81	based	base	VERB
ijassa-1381	512	82	model	model	NOUN
ijassa-1381	512	83	bert	bert	PROPN
ijassa-1381	512	84	-	-	PUNCT
ijassa-1381	512	85	based	base	VERB
ijassa-1381	512	86	classification	classification	NOUN
ijassa-1381	512	87	algorithm	algorithm	NOUN
ijassa-1381	512	88	with	with	ADP
ijassa-1381	512	89	active	active	ADJ
ijassa-1381	512	90	learning	learn	VERB
ijassa-1381	512	91	experimental	experimental	ADJ
ijassa-1381	512	92	results	result	NOUN
ijassa-1381	512	93	and	and	CCONJ
ijassa-1381	512	94	practical	practical	ADJ
ijassa-1381	512	95	application	application	NOUN
ijassa-1381	512	96	active	active	ADJ
ijassa-1381	512	97	learning	learning	NOUN
ijassa-1381	512	98	conclusion	conclusion	NOUN
ijassa-1381	512	99	funding	fund	VERB
ijassa-1381	512	100	information	information	NOUN
ijassa-1381	512	101	data	datum	NOUN
ijassa-1381	512	102	availability	availability	NOUN
ijassa-1381	512	103	statement	statement	NOUN