id	sid	tid	token	lemma	pos
ijassa-1017	1	1	adv	adv	PROPN
ijassa-1017	1	2	syst	syst	PROPN
ijassa-1017	1	3	sci	sci	PROPN
ijassa-1017	1	4	appl	appl	PROPN
ijassa-1017	1	5	2020	2020	NUM
ijassa-1017	1	6	;	;	PUNCT
ijassa-1017	1	7	04	04	NUM
ijassa-1017	1	8	;	;	PUNCT
ijassa-1017	1	9	113	113	NUM
ijassa-1017	1	10	-	-	SYM
ijassa-1017	1	11	124	124	NUM
ijassa-1017	1	12	published	publish	VERB
ijassa-1017	1	13	online	online	ADV
ijassa-1017	1	14	at	at	ADP
ijassa-1017	1	15	https://ijassa.ipu.ru	https://ijassa.ipu.ru	ADJ
ijassa-1017	1	16	.	.	PUNCT
ijassa-1017	2	1	development	development	NOUN
ijassa-1017	2	2	of	of	ADP
ijassa-1017	2	3	unified	unified	ADJ
ijassa-1017	2	4	approaches	approach	NOUN
ijassa-1017	2	5	to	to	ADP
ijassa-1017	2	6	building	build	VERB
ijassa-1017	2	7	neural	neural	ADJ
ijassa-1017	2	8	network	network	NOUN
ijassa-1017	2	9	and	and	CCONJ
ijassa-1017	2	10	mathematical	mathematical	ADJ
ijassa-1017	2	11	models	model	NOUN
ijassa-1017	2	12	based	base	VERB
ijassa-1017	2	13	on	on	ADP
ijassa-1017	2	14	digital	digital	ADJ
ijassa-1017	2	15	data	datum	NOUN
ijassa-1017	2	16	nailia	nailia	PROPN
ijassa-1017	2	17	gabdrakhmanova1	gabdrakhmanova1	PROPN
ijassa-1017	2	18	*	*	PROPN
ijassa-1017	2	19	,	,	PUNCT
ijassa-1017	2	20	maria	maria	PROPN
ijassa-1017	2	21	pilgun2	pilgun2	NOUN
ijassa-1017	2	22	1	1	NUM
ijassa-1017	2	23	)	)	PUNCT
ijassa-1017	2	24	peoples	people	NOUN
ijassa-1017	2	25	friendship	friendship	PROPN
ijassa-1017	2	26	university	university	PROPN
ijassa-1017	2	27	of	of	ADP
ijassa-1017	2	28	russia	russia	PROPN
ijassa-1017	2	29	(	(	PUNCT
ijassa-1017	2	30	rudn	rudn	VERB
ijassa-1017	2	31	university	university	NOUN
ijassa-1017	2	32	)	)	PUNCT
ijassa-1017	2	33	,	,	PUNCT
ijassa-1017	2	34	moscow	moscow	PROPN
ijassa-1017	2	35	,	,	PUNCT
ijassa-1017	2	36	russia	russia	PROPN
ijassa-1017	2	37	e	e	NOUN
ijassa-1017	2	38	-	-	NOUN
ijassa-1017	2	39	mail	mail	NOUN
ijassa-1017	2	40	:	:	PUNCT
ijassa-1017	2	41	gabd-nelli@yandex.ru	gabd-nelli@yandex.ru	ADJ
ijassa-1017	2	42	2	2	X
ijassa-1017	2	43	)	)	PUNCT
ijassa-1017	2	44	institute	institute	NOUN
ijassa-1017	2	45	of	of	ADP
ijassa-1017	2	46	linguistics	linguistics	PROPN
ijassa-1017	2	47	russian	russian	PROPN
ijassa-1017	2	48	academy	academy	PROPN
ijassa-1017	2	49	of	of	ADP
ijassa-1017	2	50	sciences	sciences	PROPN
ijassa-1017	2	51	,	,	PUNCT
ijassa-1017	2	52	moscow	moscow	PROPN
ijassa-1017	2	53	,	,	PUNCT
ijassa-1017	2	54	russia	russia	PROPN
ijassa-1017	2	55	e	e	NOUN
ijassa-1017	2	56	-	-	NOUN
ijassa-1017	2	57	mail	mail	NOUN
ijassa-1017	2	58	:	:	PUNCT
ijassa-1017	2	59	mpilgun@iling-ran.ru	mpilgun@iling-ran.ru	PROPN
ijassa-1017	2	60	abstract	abstract	NOUN
ijassa-1017	2	61	:	:	PUNCT
ijassa-1017	2	62	the	the	DET
ijassa-1017	2	63	paper	paper	NOUN
ijassa-1017	2	64	considers	consider	VERB
ijassa-1017	2	65	the	the	DET
ijassa-1017	2	66	problem	problem	NOUN
ijassa-1017	2	67	of	of	ADP
ijassa-1017	2	68	developing	develop	VERB
ijassa-1017	2	69	approaches	approach	NOUN
ijassa-1017	2	70	to	to	ADP
ijassa-1017	2	71	building	build	VERB
ijassa-1017	2	72	mathematical	mathematical	ADJ
ijassa-1017	2	73	models	model	NOUN
ijassa-1017	2	74	based	base	VERB
ijassa-1017	2	75	on	on	ADP
ijassa-1017	2	76	digital	digital	ADJ
ijassa-1017	2	77	data	datum	NOUN
ijassa-1017	2	78	of	of	ADP
ijassa-1017	2	79	real	real	ADJ
ijassa-1017	2	80	objects	object	NOUN
ijassa-1017	2	81	.	.	PUNCT
ijassa-1017	3	1	the	the	DET
ijassa-1017	3	2	data	datum	NOUN
ijassa-1017	3	3	are	be	AUX
ijassa-1017	3	4	in	in	ADP
ijassa-1017	3	5	text	text	NOUN
ijassa-1017	3	6	format	format	NOUN
ijassa-1017	3	7	and	and	CCONJ
ijassa-1017	3	8	contains	contain	VERB
ijassa-1017	3	9	information	information	NOUN
ijassa-1017	3	10	about	about	ADP
ijassa-1017	3	11	the	the	DET
ijassa-1017	3	12	behavior	behavior	NOUN
ijassa-1017	3	13	of	of	ADP
ijassa-1017	3	14	the	the	DET
ijassa-1017	3	15	dynamic	dynamic	ADJ
ijassa-1017	3	16	system	system	NOUN
ijassa-1017	3	17	.	.	PUNCT
ijassa-1017	4	1	the	the	DET
ijassa-1017	4	2	information	information	NOUN
ijassa-1017	4	3	selected	select	VERB
ijassa-1017	4	4	from	from	ADP
ijassa-1017	4	5	the	the	DET
ijassa-1017	4	6	text	text	NOUN
ijassa-1017	4	7	data	datum	NOUN
ijassa-1017	4	8	enables	enable	VERB
ijassa-1017	4	9	building	building	NOUN
ijassa-1017	4	10	of	of	ADP
ijassa-1017	4	11	neural	neural	ADJ
ijassa-1017	4	12	network	network	NOUN
ijassa-1017	4	13	and	and	CCONJ
ijassa-1017	4	14	mathematical	mathematical	ADJ
ijassa-1017	4	15	models	model	NOUN
ijassa-1017	4	16	of	of	ADP
ijassa-1017	4	17	the	the	DET
ijassa-1017	4	18	dynamic	dynamic	ADJ
ijassa-1017	4	19	system	system	NOUN
ijassa-1017	4	20	.	.	PUNCT
ijassa-1017	5	1	the	the	DET
ijassa-1017	5	2	adequacy	adequacy	NOUN
ijassa-1017	5	3	of	of	ADP
ijassa-1017	5	4	the	the	DET
ijassa-1017	5	5	models	model	NOUN
ijassa-1017	5	6	is	be	AUX
ijassa-1017	5	7	evaluated	evaluate	VERB
ijassa-1017	5	8	by	by	ADP
ijassa-1017	5	9	analytical	analytical	ADJ
ijassa-1017	5	10	and	and	CCONJ
ijassa-1017	5	11	numerical	numerical	ADJ
ijassa-1017	5	12	methods	method	NOUN
ijassa-1017	5	13	.	.	PUNCT
ijassa-1017	6	1	the	the	DET
ijassa-1017	6	2	results	result	NOUN
ijassa-1017	6	3	are	be	AUX
ijassa-1017	6	4	meaningfully	meaningfully	ADV
ijassa-1017	6	5	interpreted	interpret	VERB
ijassa-1017	6	6	.	.	PUNCT
ijassa-1017	7	1	as	as	ADP
ijassa-1017	7	2	a	a	DET
ijassa-1017	7	3	result	result	NOUN
ijassa-1017	7	4	of	of	ADP
ijassa-1017	7	5	the	the	DET
ijassa-1017	7	6	study	study	NOUN
ijassa-1017	7	7	,	,	PUNCT
ijassa-1017	7	8	it	it	PRON
ijassa-1017	7	9	was	be	AUX
ijassa-1017	7	10	confirmed	confirm	VERB
ijassa-1017	7	11	that	that	SCONJ
ijassa-1017	7	12	the	the	DET
ijassa-1017	7	13	algorithms	algorithm	NOUN
ijassa-1017	7	14	and	and	CCONJ
ijassa-1017	7	15	approaches	approach	NOUN
ijassa-1017	7	16	for	for	ADP
ijassa-1017	7	17	building	build	VERB
ijassa-1017	7	18	mathematical	mathematical	ADJ
ijassa-1017	7	19	models	model	NOUN
ijassa-1017	7	20	to	to	PART
ijassa-1017	7	21	solve	solve	VERB
ijassa-1017	7	22	the	the	DET
ijassa-1017	7	23	considered	consider	VERB
ijassa-1017	7	24	range	range	NOUN
ijassa-1017	7	25	of	of	ADP
ijassa-1017	7	26	problems	problem	NOUN
ijassa-1017	7	27	using	use	VERB
ijassa-1017	7	28	digital	digital	ADJ
ijassa-1017	7	29	data	datum	NOUN
ijassa-1017	7	30	can	can	AUX
ijassa-1017	7	31	be	be	AUX
ijassa-1017	7	32	unified	unify	VERB
ijassa-1017	7	33	.	.	PUNCT
ijassa-1017	8	1	the	the	DET
ijassa-1017	8	2	analysis	analysis	NOUN
ijassa-1017	8	3	of	of	ADP
ijassa-1017	8	4	the	the	DET
ijassa-1017	8	5	obtained	obtain	VERB
ijassa-1017	8	6	solutions	solution	NOUN
ijassa-1017	8	7	showed	show	VERB
ijassa-1017	8	8	that	that	SCONJ
ijassa-1017	8	9	the	the	DET
ijassa-1017	8	10	conclusions	conclusion	NOUN
ijassa-1017	8	11	drawn	draw	VERB
ijassa-1017	8	12	on	on	ADP
ijassa-1017	8	13	the	the	DET
ijassa-1017	8	14	basis	basis	NOUN
ijassa-1017	8	15	of	of	ADP
ijassa-1017	8	16	the	the	DET
ijassa-1017	8	17	built	build	VERB
ijassa-1017	8	18	mathematical	mathematical	ADJ
ijassa-1017	8	19	models	model	NOUN
ijassa-1017	8	20	and	and	CCONJ
ijassa-1017	8	21	the	the	DET
ijassa-1017	8	22	conclusions	conclusion	NOUN
ijassa-1017	8	23	drawn	draw	VERB
ijassa-1017	8	24	with	with	ADP
ijassa-1017	8	25	the	the	DET
ijassa-1017	8	26	semantic	semantic	ADJ
ijassa-1017	8	27	neural	neural	ADJ
ijassa-1017	8	28	network	network	NOUN
ijassa-1017	8	29	analysis	analysis	NOUN
ijassa-1017	8	30	of	of	ADP
ijassa-1017	8	31	texts	text	NOUN
ijassa-1017	8	32	are	be	AUX
ijassa-1017	8	33	consistent	consistent	ADJ
ijassa-1017	8	34	with	with	ADP
ijassa-1017	8	35	each	each	DET
ijassa-1017	8	36	other	other	ADJ
ijassa-1017	8	37	.	.	PUNCT
ijassa-1017	9	1	therefore	therefore	ADV
ijassa-1017	9	2	,	,	PUNCT
ijassa-1017	9	3	one	one	PRON
ijassa-1017	9	4	can	can	AUX
ijassa-1017	9	5	talk	talk	VERB
ijassa-1017	9	6	about	about	ADP
ijassa-1017	9	7	the	the	DET
ijassa-1017	9	8	positive	positive	ADJ
ijassa-1017	9	9	results	result	NOUN
ijassa-1017	9	10	of	of	ADP
ijassa-1017	9	11	the	the	DET
ijassa-1017	9	12	models	model	NOUN
ijassa-1017	9	13	developed	develop	VERB
ijassa-1017	9	14	.	.	PUNCT
ijassa-1017	10	1	the	the	DET
ijassa-1017	10	2	models	model	NOUN
ijassa-1017	10	3	developed	develop	VERB
ijassa-1017	10	4	can	can	AUX
ijassa-1017	10	5	be	be	AUX
ijassa-1017	10	6	used	use	VERB
ijassa-1017	10	7	in	in	ADP
ijassa-1017	10	8	solving	solve	VERB
ijassa-1017	10	9	managerial	managerial	ADJ
ijassa-1017	10	10	tasks	task	NOUN
ijassa-1017	10	11	,	,	PUNCT
ijassa-1017	10	12	planning	planning	NOUN
ijassa-1017	10	13	and	and	CCONJ
ijassa-1017	10	14	situation	situation	NOUN
ijassa-1017	10	15	prediction	prediction	NOUN
ijassa-1017	10	16	.	.	PUNCT
ijassa-1017	11	1	keywords	keyword	NOUN
ijassa-1017	11	2	:	:	PUNCT
ijassa-1017	11	3	neural	neural	ADJ
ijassa-1017	11	4	network	network	NOUN
ijassa-1017	11	5	,	,	PUNCT
ijassa-1017	11	6	time	time	NOUN
ijassa-1017	11	7	series	series	NOUN
ijassa-1017	11	8	,	,	PUNCT
ijassa-1017	11	9	differential	differential	ADJ
ijassa-1017	11	10	equations	equation	NOUN
ijassa-1017	11	11	,	,	PUNCT
ijassa-1017	11	12	dynamic	dynamic	ADJ
ijassa-1017	11	13	system	system	NOUN
ijassa-1017	11	14	,	,	PUNCT
ijassa-1017	11	15	stability	stability	NOUN
ijassa-1017	11	16	,	,	PUNCT
ijassa-1017	11	17	text	text	VERB
ijassa-1017	11	18	analysis	analysis	NOUN
ijassa-1017	11	19	1	1	NUM
ijassa-1017	11	20	.	.	PUNCT
ijassa-1017	12	1	introduction	introduction	NOUN
ijassa-1017	12	2	the	the	DET
ijassa-1017	12	3	purpose	purpose	NOUN
ijassa-1017	12	4	of	of	ADP
ijassa-1017	12	5	this	this	DET
ijassa-1017	12	6	study	study	NOUN
ijassa-1017	12	7	is	be	AUX
ijassa-1017	12	8	to	to	PART
ijassa-1017	12	9	develop	develop	VERB
ijassa-1017	12	10	approaches	approach	NOUN
ijassa-1017	12	11	for	for	ADP
ijassa-1017	12	12	building	build	VERB
ijassa-1017	12	13	mathematical	mathematical	ADJ
ijassa-1017	12	14	models	model	NOUN
ijassa-1017	12	15	based	base	VERB
ijassa-1017	12	16	on	on	ADP
ijassa-1017	12	17	extracting	extract	VERB
ijassa-1017	12	18	information	information	NOUN
ijassa-1017	12	19	from	from	ADP
ijassa-1017	12	20	large	large	ADJ
ijassa-1017	12	21	data	datum	NOUN
ijassa-1017	12	22	arrays	array	NOUN
ijassa-1017	12	23	of	of	ADP
ijassa-1017	12	24	various	various	ADJ
ijassa-1017	12	25	formats	format	NOUN
ijassa-1017	12	26	.	.	PUNCT
ijassa-1017	13	1	it	it	PRON
ijassa-1017	13	2	is	be	AUX
ijassa-1017	13	3	assumed	assume	VERB
ijassa-1017	13	4	that	that	SCONJ
ijassa-1017	13	5	the	the	DET
ijassa-1017	13	6	built	build	VERB
ijassa-1017	13	7	neural	neural	ADJ
ijassa-1017	13	8	network	network	NOUN
ijassa-1017	13	9	and	and	CCONJ
ijassa-1017	13	10	mathematical	mathematical	ADJ
ijassa-1017	13	11	models	model	NOUN
ijassa-1017	13	12	will	will	AUX
ijassa-1017	13	13	help	help	VERB
ijassa-1017	13	14	solve	solve	VERB
ijassa-1017	13	15	the	the	DET
ijassa-1017	13	16	problems	problem	NOUN
ijassa-1017	13	17	of	of	ADP
ijassa-1017	13	18	choosing	choose	VERB
ijassa-1017	13	19	a	a	DET
ijassa-1017	13	20	managerial	managerial	ADJ
ijassa-1017	13	21	decision	decision	NOUN
ijassa-1017	13	22	.	.	PUNCT
ijassa-1017	14	1	for	for	ADP
ijassa-1017	14	2	example	example	NOUN
ijassa-1017	14	3	,	,	PUNCT
ijassa-1017	14	4	the	the	DET
ijassa-1017	14	5	city	city	NOUN
ijassa-1017	14	6	administration	administration	NOUN
ijassa-1017	14	7	faces	face	VERB
ijassa-1017	14	8	such	such	ADJ
ijassa-1017	14	9	tasks	task	NOUN
ijassa-1017	14	10	,	,	PUNCT
ijassa-1017	14	11	when	when	SCONJ
ijassa-1017	14	12	choosing	choose	VERB
ijassa-1017	14	13	a	a	DET
ijassa-1017	14	14	project	project	NOUN
ijassa-1017	14	15	to	to	PART
ijassa-1017	14	16	be	be	AUX
ijassa-1017	14	17	implemented	implement	VERB
ijassa-1017	14	18	in	in	ADP
ijassa-1017	14	19	the	the	DET
ijassa-1017	14	20	city	city	NOUN
ijassa-1017	14	21	.	.	PUNCT
ijassa-1017	15	1	in	in	ADP
ijassa-1017	15	2	such	such	ADJ
ijassa-1017	15	3	tasks	task	NOUN
ijassa-1017	15	4	,	,	PUNCT
ijassa-1017	15	5	it	it	PRON
ijassa-1017	15	6	becomes	become	VERB
ijassa-1017	15	7	necessary	necessary	ADJ
ijassa-1017	15	8	to	to	PART
ijassa-1017	15	9	obtain	obtain	VERB
ijassa-1017	15	10	feedback	feedback	NOUN
ijassa-1017	15	11	,	,	PUNCT
ijassa-1017	15	12	some	some	DET
ijassa-1017	15	13	evaluation	evaluation	NOUN
ijassa-1017	15	14	of	of	ADP
ijassa-1017	15	15	the	the	DET
ijassa-1017	15	16	attitude	attitude	NOUN
ijassa-1017	15	17	of	of	ADP
ijassa-1017	15	18	the	the	DET
ijassa-1017	15	19	population	population	NOUN
ijassa-1017	15	20	to	to	ADP
ijassa-1017	15	21	the	the	DET
ijassa-1017	15	22	projects	project	NOUN
ijassa-1017	15	23	being	be	AUX
ijassa-1017	15	24	implemented	implement	VERB
ijassa-1017	15	25	.	.	PUNCT
ijassa-1017	16	1	the	the	DET
ijassa-1017	16	2	building	building	NOUN
ijassa-1017	16	3	of	of	ADP
ijassa-1017	16	4	mathematical	mathematical	ADJ
ijassa-1017	16	5	models	model	NOUN
ijassa-1017	16	6	from	from	ADP
ijassa-1017	16	7	digital	digital	ADJ
ijassa-1017	16	8	data	datum	NOUN
ijassa-1017	16	9	,	,	PUNCT
ijassa-1017	16	10	in	in	ADP
ijassa-1017	16	11	contrast	contrast	NOUN
ijassa-1017	16	12	to	to	ADP
ijassa-1017	16	13	mathematical	mathematical	ADJ
ijassa-1017	16	14	models	model	NOUN
ijassa-1017	16	15	of	of	ADP
ijassa-1017	16	16	technical	technical	ADJ
ijassa-1017	16	17	systems	system	NOUN
ijassa-1017	16	18	,	,	PUNCT
ijassa-1017	16	19	poses	pose	VERB
ijassa-1017	16	20	a	a	DET
ijassa-1017	16	21	number	number	NOUN
ijassa-1017	16	22	of	of	ADP
ijassa-1017	16	23	difficulties	difficulty	NOUN
ijassa-1017	16	24	:	:	PUNCT
ijassa-1017	16	25	the	the	DET
ijassa-1017	16	26	data	datum	NOUN
ijassa-1017	16	27	are	be	AUX
ijassa-1017	16	28	in	in	ADP
ijassa-1017	16	29	text	text	NOUN
ijassa-1017	16	30	format	format	NOUN
ijassa-1017	16	31	;	;	PUNCT
ijassa-1017	16	32	it	it	PRON
ijassa-1017	16	33	is	be	AUX
ijassa-1017	16	34	impossible	impossible	ADJ
ijassa-1017	16	35	to	to	PART
ijassa-1017	16	36	conduct	conduct	VERB
ijassa-1017	16	37	experiments	experiment	NOUN
ijassa-1017	16	38	;	;	PUNCT
ijassa-1017	16	39	the	the	DET
ijassa-1017	16	40	problem	problem	NOUN
ijassa-1017	16	41	belongs	belong	VERB
ijassa-1017	16	42	to	to	ADP
ijassa-1017	16	43	the	the	DET
ijassa-1017	16	44	“	"	PUNCT
ijassa-1017	16	45	hard	hard	ADJ
ijassa-1017	16	46	to	to	PART
ijassa-1017	16	47	formalize	formalize	VERB
ijassa-1017	16	48	”	"	PUNCT
ijassa-1017	16	49	class	class	NOUN
ijassa-1017	16	50	.	.	PUNCT
ijassa-1017	17	1	at	at	ADP
ijassa-1017	17	2	present	present	ADJ
ijassa-1017	17	3	,	,	PUNCT
ijassa-1017	17	4	the	the	DET
ijassa-1017	17	5	progress	progress	NOUN
ijassa-1017	17	6	of	of	ADP
ijassa-1017	17	7	neural	neural	ADJ
ijassa-1017	17	8	network	network	NOUN
ijassa-1017	17	9	technologies	technology	NOUN
ijassa-1017	17	10	allows	allow	VERB
ijassa-1017	17	11	solving	solve	VERB
ijassa-1017	17	12	many	many	ADJ
ijassa-1017	17	13	problems	problem	NOUN
ijassa-1017	17	14	.	.	PUNCT
ijassa-1017	18	1	as	as	SCONJ
ijassa-1017	18	2	shown	show	VERB
ijassa-1017	18	3	in	in	ADP
ijassa-1017	18	4	this	this	DET
ijassa-1017	18	5	paper	paper	NOUN
ijassa-1017	18	6	,	,	PUNCT
ijassa-1017	18	7	machine	machine	NOUN
ijassa-1017	18	8	learning	learning	NOUN
ijassa-1017	18	9	make	make	VERB
ijassa-1017	18	10	it	it	PRON
ijassa-1017	18	11	possible	possible	ADJ
ijassa-1017	18	12	to	to	PART
ijassa-1017	18	13	extract	extract	VERB
ijassa-1017	18	14	hidden	hidden	ADJ
ijassa-1017	18	15	information	information	NOUN
ijassa-1017	18	16	from	from	ADP
ijassa-1017	18	17	data	datum	NOUN
ijassa-1017	18	18	of	of	ADP
ijassa-1017	18	19	various	various	ADJ
ijassa-1017	18	20	formats	format	NOUN
ijassa-1017	18	21	and	and	CCONJ
ijassa-1017	18	22	build	build	VERB
ijassa-1017	18	23	mathematical	mathematical	ADJ
ijassa-1017	18	24	models	model	NOUN
ijassa-1017	18	25	on	on	ADP
ijassa-1017	18	26	their	their	PRON
ijassa-1017	18	27	basis	basis	NOUN
ijassa-1017	18	28	.	.	PUNCT
ijassa-1017	19	1	1.1	1.1	NUM
ijassa-1017	19	2	.	.	PUNCT
ijassa-1017	19	3	data	data	VERB
ijassa-1017	19	4	the	the	DET
ijassa-1017	19	5	material	material	NOUN
ijassa-1017	19	6	for	for	ADP
ijassa-1017	19	7	the	the	DET
ijassa-1017	19	8	study	study	NOUN
ijassa-1017	19	9	was	be	AUX
ijassa-1017	19	10	the	the	DET
ijassa-1017	19	11	data	datum	NOUN
ijassa-1017	19	12	of	of	ADP
ijassa-1017	19	13	social	social	ADJ
ijassa-1017	19	14	media	medium	NOUN
ijassa-1017	19	15	,	,	PUNCT
ijassa-1017	19	16	microblogs	microblog	NOUN
ijassa-1017	19	17	,	,	PUNCT
ijassa-1017	19	18	blogs	blog	NOUN
ijassa-1017	19	19	,	,	PUNCT
ijassa-1017	19	20	instant	instant	ADJ
ijassa-1017	19	21	messengers	messenger	NOUN
ijassa-1017	19	22	,	,	PUNCT
ijassa-1017	19	23	videos	video	NOUN
ijassa-1017	19	24	,	,	PUNCT
ijassa-1017	19	25	forums	forum	NOUN
ijassa-1017	19	26	and	and	CCONJ
ijassa-1017	19	27	reviews	review	NOUN
ijassa-1017	19	28	on	on	ADP
ijassa-1017	19	29	the	the	DET
ijassa-1017	19	30	construction	construction	NOUN
ijassa-1017	19	31	of	of	ADP
ijassa-1017	19	32	the	the	DET
ijassa-1017	19	33	south	south	PROPN
ijassa-1017	19	34	east	east	PROPN
ijassa-1017	19	35	chord	chord	NOUN
ijassa-1017	19	36	(	(	PUNCT
ijassa-1017	19	37	sec	sec	PROPN
ijassa-1017	19	38	)	)	PUNCT
ijassa-1017	19	39	*	*	PUNCT
ijassa-1017	20	1	corresponding	correspond	VERB
ijassa-1017	20	2	author	author	NOUN
ijassa-1017	20	3	:	:	PUNCT
ijassa-1017	20	4	gabd-nelli@yandex.ru	gabd-nelli@yandex.ru	PRON
ijassa-1017	20	5	mailto:mpilgun@iling-ran.ru	mailto:mpilgun@iling-ran.ru	PROPN
ijassa-1017	20	6	114	114	NUM
ijassa-1017	20	7	n.	n.	PROPN
ijassa-1017	20	8	gabdrakhmanova	gabdrakhmanova	PROPN
ijassa-1017	20	9	,	,	PUNCT
ijassa-1017	20	10	m.	m.	NOUN
ijassa-1017	20	11	pilgun	pilgun	PROPN
ijassa-1017	20	12	copyright	copyright	NOUN
ijassa-1017	20	13	©	©	PROPN
ijassa-1017	20	14	2020	2020	NUM
ijassa-1017	20	15	assa	assa	NOUN
ijassa-1017	20	16	.	.	PUNCT
ijassa-1017	21	1	adv	adv	PROPN
ijassa-1017	21	2	.	.	PUNCT
ijassa-1017	22	1	in	in	ADP
ijassa-1017	22	2	systems	system	NOUN
ijassa-1017	22	3	science	science	NOUN
ijassa-1017	22	4	and	and	CCONJ
ijassa-1017	22	5	appl	appl	NOUN
ijassa-1017	22	6	.	.	PUNCT
ijassa-1017	23	1	(	(	PUNCT
ijassa-1017	23	2	2020	2020	NUM
ijassa-1017	23	3	)	)	PUNCT
ijassa-1017	23	4	and	and	CCONJ
ijassa-1017	23	5	nord	nord	PROPN
ijassa-1017	23	6	west	west	PROPN
ijassa-1017	23	7	chord	chord	PROPN
ijassa-1017	23	8	(	(	PUNCT
ijassa-1017	23	9	nwc	nwc	PROPN
ijassa-1017	23	10	)	)	PUNCT
ijassa-1017	23	11	in	in	ADP
ijassa-1017	23	12	moscow	moscow	PROPN
ijassa-1017	23	13	.	.	PUNCT
ijassa-1017	24	1	the	the	DET
ijassa-1017	24	2	data	datum	NOUN
ijassa-1017	24	3	were	be	AUX
ijassa-1017	24	4	collected	collect	VERB
ijassa-1017	24	5	between	between	ADP
ijassa-1017	24	6	00:00	00:00	NUM
ijassa-1017	24	7	on	on	ADP
ijassa-1017	24	8	july	july	PROPN
ijassa-1017	24	9	7	7	NUM
ijassa-1017	24	10	,	,	PUNCT
ijassa-1017	24	11	2019	2019	NUM
ijassa-1017	24	12	and	and	CCONJ
ijassa-1017	24	13	11:59	11:59	NUM
ijassa-1017	24	14	pm	pm	NOUN
ijassa-1017	24	15	on	on	ADP
ijassa-1017	24	16	december	december	PROPN
ijassa-1017	24	17	31	31	NUM
ijassa-1017	24	18	,	,	PUNCT
ijassa-1017	24	19	2019	2019	NUM
ijassa-1017	24	20	(	(	PUNCT
ijassa-1017	24	21	see	see	VERB
ijassa-1017	24	22	table	table	NOUN
ijassa-1017	24	23	1.1	1.1	NUM
ijassa-1017	24	24	.	.	PUNCT
ijassa-1017	24	25	)	)	PUNCT
ijassa-1017	24	26	.	.	PUNCT
ijassa-1017	25	1	table	table	NOUN
ijassa-1017	25	2	1.1	1.1	NUM
ijassa-1017	25	3	.	.	PUNCT
ijassa-1017	26	1	data	datum	NOUN
ijassa-1017	26	2	characteristics	characteristics	PROPN
ijassa-1017	26	3	parameter	parameter	NOUN
ijassa-1017	26	4	messages	message	NOUN
ijassa-1017	26	5	authors	author	NOUN
ijassa-1017	26	6	loyalty	loyalty	NOUN
ijassa-1017	26	7	involvement	involvement	NOUN
ijassa-1017	26	8	аudience	аudience	NOUN
ijassa-1017	26	9	nord	nord	PROPN
ijassa-1017	26	10	west	west	PROPN
ijassa-1017	26	11	chord	chord	PROPN
ijassa-1017	26	12	433	433	NUM
ijassa-1017	26	13	0,9	0,9	NUM
ijassa-1017	26	14	7	7	NUM
ijassa-1017	26	15	858	858	NUM
ijassa-1017	26	16	6	6	NUM
ijassa-1017	26	17	822	822	NUM
ijassa-1017	26	18	650	650	NUM
ijassa-1017	26	19	south	south	PROPN
ijassa-1017	26	20	east	east	PROPN
ijassa-1017	26	21	chord	chord	NOUN
ijassa-1017	26	22	12	12	NUM
ijassa-1017	26	23	456	456	NUM
ijassa-1017	26	24	7	7	NUM
ijassa-1017	26	25	459	459	NUM
ijassa-1017	26	26	0,1	0,1	NUM
ijassa-1017	26	27	144	144	NUM
ijassa-1017	26	28	028	028	NUM
ijassa-1017	26	29	17	17	NUM
ijassa-1017	26	30	688	688	NUM
ijassa-1017	26	31	221	221	NUM
ijassa-1017	26	32	1.2	1.2	NUM
ijassa-1017	26	33	.	.	PUNCT
ijassa-1017	27	1	method	method	VERB
ijassa-1017	27	2	the	the	DET
ijassa-1017	27	3	study	study	NOUN
ijassa-1017	27	4	involved	involve	VERB
ijassa-1017	27	5	several	several	ADJ
ijassa-1017	27	6	parallel	parallel	ADJ
ijassa-1017	27	7	models	model	NOUN
ijassa-1017	27	8	.	.	PUNCT
ijassa-1017	28	1	with	with	ADP
ijassa-1017	28	2	the	the	DET
ijassa-1017	28	3	help	help	NOUN
ijassa-1017	28	4	of	of	ADP
ijassa-1017	28	5	the	the	DET
ijassa-1017	28	6	semantic	semantic	ADJ
ijassa-1017	28	7	neural	neural	ADJ
ijassa-1017	28	8	network	network	NOUN
ijassa-1017	28	9	model	model	NOUN
ijassa-1017	28	10	,	,	PUNCT
ijassa-1017	28	11	a	a	DET
ijassa-1017	28	12	text	text	NOUN
ijassa-1017	28	13	analysis	analysis	NOUN
ijassa-1017	28	14	was	be	AUX
ijassa-1017	28	15	performed	perform	VERB
ijassa-1017	28	16	;	;	PUNCT
ijassa-1017	28	17	the	the	DET
ijassa-1017	28	18	topic	topic	NOUN
ijassa-1017	28	19	structure	structure	NOUN
ijassa-1017	28	20	and	and	CCONJ
ijassa-1017	28	21	the	the	DET
ijassa-1017	28	22	semantic	semantic	ADJ
ijassa-1017	28	23	network	network	NOUN
ijassa-1017	28	24	were	be	AUX
ijassa-1017	28	25	analyzed	analyze	VERB
ijassa-1017	28	26	,	,	PUNCT
ijassa-1017	28	27	as	as	ADV
ijassa-1017	28	28	well	well	ADV
ijassa-1017	28	29	as	as	ADP
ijassa-1017	28	30	the	the	DET
ijassa-1017	28	31	sentiment	sentiment	NOUN
ijassa-1017	28	32	and	and	CCONJ
ijassa-1017	28	33	the	the	DET
ijassa-1017	28	34	level	level	NOUN
ijassa-1017	28	35	of	of	ADP
ijassa-1017	28	36	aggression	aggression	NOUN
ijassa-1017	28	37	;	;	PUNCT
ijassa-1017	28	38	digital	digital	ADJ
ijassa-1017	28	39	conflictogenic	conflictogenic	NOUN
ijassa-1017	28	40	zones	zone	NOUN
ijassa-1017	28	41	were	be	AUX
ijassa-1017	28	42	identified	identify	VERB
ijassa-1017	28	43	;	;	PUNCT
ijassa-1017	28	44	and	and	CCONJ
ijassa-1017	28	45	the	the	DET
ijassa-1017	28	46	indices	index	NOUN
ijassa-1017	28	47	of	of	ADP
ijassa-1017	28	48	social	social	ADJ
ijassa-1017	28	49	stress	stress	NOUN
ijassa-1017	28	50	and	and	CCONJ
ijassa-1017	28	51	well	well	ADV
ijassa-1017	28	52	-	-	PUNCT
ijassa-1017	28	53	being	being	NOUN
ijassa-1017	28	54	were	be	AUX
ijassa-1017	28	55	calculated	calculate	VERB
ijassa-1017	28	56	.	.	PUNCT
ijassa-1017	29	1	in	in	ADP
ijassa-1017	29	2	parallel	parallel	NOUN
ijassa-1017	29	3	with	with	ADP
ijassa-1017	29	4	the	the	DET
ijassa-1017	29	5	neural	neural	ADJ
ijassa-1017	29	6	network	network	NOUN
ijassa-1017	29	7	model	model	NOUN
ijassa-1017	29	8	,	,	PUNCT
ijassa-1017	29	9	a	a	DET
ijassa-1017	29	10	statistical	statistical	ADJ
ijassa-1017	29	11	analysis	analysis	NOUN
ijassa-1017	29	12	of	of	ADP
ijassa-1017	29	13	experimental	experimental	ADJ
ijassa-1017	29	14	data	datum	NOUN
ijassa-1017	29	15	was	be	AUX
ijassa-1017	29	16	performed	perform	VERB
ijassa-1017	29	17	and	and	CCONJ
ijassa-1017	29	18	dynamic	dynamic	ADJ
ijassa-1017	29	19	models	model	NOUN
ijassa-1017	29	20	of	of	ADP
ijassa-1017	29	21	processes	process	NOUN
ijassa-1017	29	22	were	be	AUX
ijassa-1017	29	23	built	build	VERB
ijassa-1017	29	24	.	.	PUNCT
ijassa-1017	30	1	the	the	DET
ijassa-1017	30	2	following	follow	VERB
ijassa-1017	30	3	models	model	NOUN
ijassa-1017	30	4	were	be	AUX
ijassa-1017	30	5	used	use	VERB
ijassa-1017	30	6	for	for	ADP
ijassa-1017	30	7	data	datum	NOUN
ijassa-1017	30	8	analysis	analysis	NOUN
ijassa-1017	30	9	:	:	PUNCT
ijassa-1017	30	10	a	a	DET
ijassa-1017	30	11	model	model	NOUN
ijassa-1017	30	12	based	base	VERB
ijassa-1017	30	13	on	on	ADP
ijassa-1017	30	14	the	the	DET
ijassa-1017	30	15	neural	neural	ADJ
ijassa-1017	30	16	network	network	NOUN
ijassa-1017	30	17	paradigm	paradigm	NOUN
ijassa-1017	30	18	of	of	ADP
ijassa-1017	30	19	using	use	VERB
ijassa-1017	30	20	neural	neural	ADJ
ijassa-1017	30	21	-	-	PUNCT
ijassa-1017	30	22	like	like	ADJ
ijassa-1017	30	23	elements	element	NOUN
ijassa-1017	30	24	with	with	ADP
ijassa-1017	30	25	time	time	NOUN
ijassa-1017	30	26	summation	summation	NOUN
ijassa-1017	30	27	of	of	ADP
ijassa-1017	30	28	signals	signal	NOUN
ijassa-1017	30	29	[	[	X
ijassa-1017	30	30	5	5	NUM
ijassa-1017	30	31	]	]	PUNCT
ijassa-1017	30	32	and	and	CCONJ
ijassa-1017	30	33	that	that	SCONJ
ijassa-1017	30	34	with	with	ADP
ijassa-1017	30	35	differential	differential	ADJ
ijassa-1017	30	36	equations	equation	NOUN
ijassa-1017	31	1	[	[	X
ijassa-1017	31	2	1	1	NUM
ijassa-1017	31	3	]	]	PUNCT
ijassa-1017	31	4	.	.	PUNCT
ijassa-1017	32	1	analysis	analysis	NOUN
ijassa-1017	32	2	of	of	ADP
ijassa-1017	32	3	solutions	solution	NOUN
ijassa-1017	32	4	for	for	ADP
ijassa-1017	32	5	all	all	DET
ijassa-1017	32	6	models	model	NOUN
ijassa-1017	32	7	showed	show	VERB
ijassa-1017	32	8	the	the	DET
ijassa-1017	32	9	consistency	consistency	NOUN
ijassa-1017	32	10	of	of	ADP
ijassa-1017	32	11	solutions	solution	NOUN
ijassa-1017	32	12	.	.	PUNCT
ijassa-1017	33	1	the	the	DET
ijassa-1017	33	2	chosen	choose	VERB
ijassa-1017	33	3	model	model	NOUN
ijassa-1017	33	4	enables	enable	VERB
ijassa-1017	33	5	automatic	automatic	ADJ
ijassa-1017	33	6	semantic	semantic	ADJ
ijassa-1017	33	7	ranking	ranking	NOUN
ijassa-1017	33	8	of	of	ADP
ijassa-1017	33	9	the	the	DET
ijassa-1017	33	10	text	text	NOUN
ijassa-1017	33	11	data	datum	NOUN
ijassa-1017	33	12	base	base	NOUN
ijassa-1017	33	13	using	use	VERB
ijassa-1017	33	14	several	several	ADJ
ijassa-1017	33	15	algorithms	algorithm	NOUN
ijassa-1017	33	16	:	:	PUNCT
ijassa-1017	33	17	an	an	DET
ijassa-1017	33	18	algorithm	algorithm	NOUN
ijassa-1017	33	19	for	for	ADP
ijassa-1017	33	20	forming	form	VERB
ijassa-1017	33	21	a	a	DET
ijassa-1017	33	22	homogeneous	homogeneous	ADJ
ijassa-1017	33	23	frequency	frequency	NOUN
ijassa-1017	33	24	network	network	NOUN
ijassa-1017	33	25	of	of	ADP
ijassa-1017	33	26	text	text	NOUN
ijassa-1017	33	27	using	use	VERB
ijassa-1017	33	28	an	an	DET
ijassa-1017	33	29	artificial	artificial	ADJ
ijassa-1017	33	30	neural	neural	ADJ
ijassa-1017	33	31	network	network	NOUN
ijassa-1017	33	32	based	base	VERB
ijassa-1017	33	33	on	on	ADP
ijassa-1017	33	34	neural	neural	ADJ
ijassa-1017	33	35	-	-	PUNCT
ijassa-1017	33	36	like	like	ADJ
ijassa-1017	33	37	elements	element	NOUN
ijassa-1017	33	38	with	with	ADP
ijassa-1017	33	39	time	time	NOUN
ijassa-1017	33	40	summation	summation	NOUN
ijassa-1017	33	41	of	of	ADP
ijassa-1017	33	42	signals	signal	NOUN
ijassa-1017	33	43	,	,	PUNCT
ijassa-1017	33	44	and	and	CCONJ
ijassa-1017	33	45	an	an	DET
ijassa-1017	33	46	iterative	iterative	ADJ
ijassa-1017	33	47	hopfield	hopfield	ADJ
ijassa-1017	33	48	-	-	PUNCT
ijassa-1017	33	49	like	like	ADJ
ijassa-1017	33	50	algorithm	algorithm	NOUN
ijassa-1017	33	51	for	for	ADP
ijassa-1017	33	52	ranking	rank	VERB
ijassa-1017	33	53	network	network	NOUN
ijassa-1017	33	54	vertices	vertex	NOUN
ijassa-1017	33	55	on	on	ADP
ijassa-1017	33	56	a	a	DET
ijassa-1017	33	57	scale	scale	NOUN
ijassa-1017	33	58	of	of	ADP
ijassa-1017	33	59	“	"	PUNCT
ijassa-1017	33	60	0	0	NUM
ijassa-1017	33	61	-100	-100	NUM
ijassa-1017	33	62	%	%	NOUN
ijassa-1017	33	63	”	"	PUNCT
ijassa-1017	33	64	values	value	NOUN
ijassa-1017	33	65	.	.	PUNCT
ijassa-1017	34	1	in	in	ADP
ijassa-1017	34	2	addition	addition	NOUN
ijassa-1017	34	3	,	,	PUNCT
ijassa-1017	34	4	the	the	DET
ijassa-1017	34	5	n	n	CCONJ
ijassa-1017	34	6	-	-	PUNCT
ijassa-1017	34	7	gram	gram	NOUN
ijassa-1017	34	8	network	network	NOUN
ijassa-1017	34	9	representation	representation	NOUN
ijassa-1017	34	10	is	be	AUX
ijassa-1017	34	11	formed	form	VERB
ijassa-1017	34	12	by	by	ADP
ijassa-1017	34	13	iterative	iterative	NOUN
ijassa-1017	34	14	re	re	NOUN
ijassa-1017	34	15	-	-	NOUN
ijassa-1017	34	16	weighting	weight	VERB
ijassa-1017	34	17	at	at	ADP
ijassa-1017	34	18	a	a	DET
ijassa-1017	34	19	given	give	VERB
ijassa-1017	34	20	number	number	NOUN
ijassa-1017	34	21	of	of	ADP
ijassa-1017	34	22	steps	step	NOUN
ijassa-1017	34	23	,	,	PUNCT
ijassa-1017	34	24	or	or	CCONJ
ijassa-1017	34	25	based	base	VERB
ijassa-1017	34	26	on	on	ADP
ijassa-1017	34	27	the	the	DET
ijassa-1017	34	28	ranking	ranking	NOUN
ijassa-1017	34	29	process	process	NOUN
ijassa-1017	34	30	convergence	convergence	NOUN
ijassa-1017	34	31	criterion	criterion	NOUN
ijassa-1017	34	32	.	.	PUNCT
ijassa-1017	35	1	thus	thus	ADV
ijassa-1017	35	2	,	,	PUNCT
ijassa-1017	35	3	lexemes	lexeme	NOUN
ijassa-1017	35	4	are	be	AUX
ijassa-1017	35	5	analyzed	analyze	VERB
ijassa-1017	35	6	in	in	ADP
ijassa-1017	35	7	the	the	DET
ijassa-1017	35	8	context	context	NOUN
ijassa-1017	35	9	of	of	ADP
ijassa-1017	35	10	syntagmas	syntagma	NOUN
ijassa-1017	35	11	of	of	ADP
ijassa-1017	35	12	a	a	DET
ijassa-1017	35	13	given	give	VERB
ijassa-1017	35	14	(	(	PUNCT
ijassa-1017	35	15	n	n	CCONJ
ijassa-1017	35	16	)	)	PUNCT
ijassa-1017	35	17	length	length	NOUN
ijassa-1017	35	18	on	on	ADP
ijassa-1017	35	19	a	a	DET
ijassa-1017	35	20	semantic	semantic	ADJ
ijassa-1017	35	21	network	network	NOUN
ijassa-1017	35	22	formed	form	VERB
ijassa-1017	35	23	on	on	ADP
ijassa-1017	35	24	the	the	DET
ijassa-1017	35	25	basis	basis	NOUN
ijassa-1017	35	26	of	of	ADP
ijassa-1017	35	27	text	text	NOUN
ijassa-1017	35	28	analysis	analysis	NOUN
ijassa-1017	35	29	.	.	PUNCT
ijassa-1017	36	1	the	the	DET
ijassa-1017	36	2	frequency	frequency	NOUN
ijassa-1017	36	3	network	network	NOUN
ijassa-1017	36	4	of	of	ADP
ijassa-1017	36	5	the	the	DET
ijassa-1017	36	6	text	text	NOUN
ijassa-1017	36	7	is	be	AUX
ijassa-1017	36	8	built	build	VERB
ijassa-1017	36	9	as	as	ADP
ijassa-1017	36	10	a	a	DET
ijassa-1017	36	11	set	set	NOUN
ijassa-1017	36	12	of	of	ADP
ijassa-1017	36	13	pairs	pair	NOUN
ijassa-1017	36	14	of	of	ADP
ijassa-1017	36	15	words	word	NOUN
ijassa-1017	36	16	that	that	PRON
ijassa-1017	36	17	occur	occur	VERB
ijassa-1017	36	18	in	in	ADP
ijassa-1017	36	19	the	the	DET
ijassa-1017	36	20	sentences	sentence	NOUN
ijassa-1017	36	21	of	of	ADP
ijassa-1017	36	22	the	the	DET
ijassa-1017	36	23	text	text	NOUN
ijassa-1017	36	24	.	.	PUNCT
ijassa-1017	37	1	the	the	DET
ijassa-1017	37	2	network	network	NOUN
ijassa-1017	37	3	vertices	vertex	NOUN
ijassa-1017	37	4	are	be	AUX
ijassa-1017	37	5	weighted	weight	VERB
ijassa-1017	37	6	by	by	ADP
ijassa-1017	37	7	their	their	PRON
ijassa-1017	37	8	frequency	frequency	NOUN
ijassa-1017	37	9	of	of	ADP
ijassa-1017	37	10	occurrence	occurrence	NOUN
ijassa-1017	37	11	in	in	ADP
ijassa-1017	37	12	the	the	DET
ijassa-1017	37	13	text	text	NOUN
ijassa-1017	37	14	.	.	PUNCT
ijassa-1017	38	1	the	the	DET
ijassa-1017	38	2	weight	weight	NOUN
ijassa-1017	38	3	of	of	ADP
ijassa-1017	38	4	a	a	DET
ijassa-1017	38	5	pair	pair	NOUN
ijassa-1017	38	6	of	of	ADP
ijassa-1017	38	7	vertices	vertex	NOUN
ijassa-1017	38	8	in	in	ADP
ijassa-1017	38	9	the	the	DET
ijassa-1017	38	10	network	network	NOUN
ijassa-1017	38	11	corresponds	correspond	VERB
ijassa-1017	38	12	to	to	ADP
ijassa-1017	38	13	the	the	DET
ijassa-1017	38	14	frequency	frequency	NOUN
ijassa-1017	38	15	of	of	ADP
ijassa-1017	38	16	occurrence	occurrence	NOUN
ijassa-1017	38	17	of	of	ADP
ijassa-1017	38	18	word	word	NOUN
ijassa-1017	38	19	pairs	pair	NOUN
ijassa-1017	38	20	in	in	ADP
ijassa-1017	38	21	sentences	sentence	NOUN
ijassa-1017	38	22	of	of	ADP
ijassa-1017	38	23	the	the	DET
ijassa-1017	38	24	text	text	NOUN
ijassa-1017	38	25	.	.	PUNCT
ijassa-1017	39	1	the	the	DET
ijassa-1017	39	2	neural	neural	ADJ
ijassa-1017	39	3	network	network	NOUN
ijassa-1017	39	4	approach	approach	NOUN
ijassa-1017	39	5	makes	make	VERB
ijassa-1017	39	6	it	it	PRON
ijassa-1017	39	7	possible	possible	ADJ
ijassa-1017	39	8	to	to	PART
ijassa-1017	39	9	make	make	VERB
ijassa-1017	39	10	a	a	DET
ijassa-1017	39	11	correct	correct	ADJ
ijassa-1017	39	12	analysis	analysis	NOUN
ijassa-1017	39	13	of	of	ADP
ijassa-1017	39	14	sentiment	sentiment	NOUN
ijassa-1017	39	15	and	and	CCONJ
ijassa-1017	39	16	aggression	aggression	NOUN
ijassa-1017	39	17	and	and	CCONJ
ijassa-1017	39	18	derive	derive	ADJ
ijassa-1017	39	19	indices	index	NOUN
ijassa-1017	39	20	of	of	ADP
ijassa-1017	39	21	social	social	ADJ
ijassa-1017	39	22	stress	stress	NOUN
ijassa-1017	39	23	and	and	CCONJ
ijassa-1017	39	24	well	well	ADV
ijassa-1017	39	25	-	-	PUNCT
ijassa-1017	39	26	being	being	NOUN
ijassa-1017	39	27	,	,	PUNCT
ijassa-1017	39	28	which	which	PRON
ijassa-1017	39	29	are	be	AUX
ijassa-1017	39	30	necessary	necessary	ADJ
ijassa-1017	39	31	for	for	ADP
ijassa-1017	39	32	solving	solve	VERB
ijassa-1017	39	33	the	the	DET
ijassa-1017	39	34	problems	problem	NOUN
ijassa-1017	39	35	of	of	ADP
ijassa-1017	39	36	this	this	DET
ijassa-1017	39	37	study	study	NOUN
ijassa-1017	39	38	[	[	X
ijassa-1017	39	39	5	5	NUM
ijassa-1017	39	40	;	;	PUNCT
ijassa-1017	39	41	6	6	NUM
ijassa-1017	39	42	]	]	PUNCT
ijassa-1017	39	43	.	.	PUNCT
ijassa-1017	40	1	2	2	X
ijassa-1017	40	2	.	.	X
ijassa-1017	40	3	results	result	NOUN
ijassa-1017	40	4	and	and	CCONJ
ijassa-1017	40	5	discussion	discussion	NOUN
ijassa-1017	40	6	2.1	2.1	NUM
ijassa-1017	40	7	.	.	PUNCT
ijassa-1017	41	1	semantic	semantic	ADJ
ijassa-1017	41	2	neural	neural	ADJ
ijassa-1017	41	3	network	network	NOUN
ijassa-1017	41	4	model	model	NOUN
ijassa-1017	41	5	the	the	DET
ijassa-1017	41	6	dynamics	dynamic	NOUN
ijassa-1017	41	7	of	of	ADP
ijassa-1017	41	8	users	user	NOUN
ijassa-1017	41	9	’	'	PUNCT
ijassa-1017	41	10	activity	activity	NOUN
ijassa-1017	41	11	(	(	PUNCT
ijassa-1017	41	12	figures	figure	NOUN
ijassa-1017	41	13	2.2	2.2	NUM
ijassa-1017	41	14	;	;	PUNCT
ijassa-1017	41	15	2.4	2.4	NUM
ijassa-1017	41	16	)	)	PUNCT
ijassa-1017	41	17	and	and	CCONJ
ijassa-1017	41	18	generated	generate	VERB
ijassa-1017	41	19	content	content	NOUN
ijassa-1017	41	20	(	(	PUNCT
ijassa-1017	41	21	figures	figure	NOUN
ijassa-1017	41	22	2.1	2.1	NUM
ijassa-1017	41	23	;	;	PUNCT
ijassa-1017	41	24	2.3	2.3	NUM
ijassa-1017	41	25	)	)	PUNCT
ijassa-1017	41	26	regarding	regard	VERB
ijassa-1017	41	27	the	the	DET
ijassa-1017	41	28	implementation	implementation	NOUN
ijassa-1017	41	29	of	of	ADP
ijassa-1017	41	30	the	the	DET
ijassa-1017	41	31	sec	sec	PROPN
ijassa-1017	41	32	and	and	CCONJ
ijassa-1017	41	33	nwc	nwc	PROPN
ijassa-1017	41	34	projects	project	NOUN
ijassa-1017	41	35	,	,	PUNCT
ijassa-1017	41	36	enable	enable	VERB
ijassa-1017	41	37	determination	determination	NOUN
ijassa-1017	41	38	of	of	ADP
ijassa-1017	41	39	the	the	DET
ijassa-1017	41	40	communication	communication	NOUN
ijassa-1017	41	41	features	feature	NOUN
ijassa-1017	41	42	and	and	CCONJ
ijassa-1017	41	43	identification	identification	NOUN
ijassa-1017	41	44	of	of	ADP
ijassa-1017	41	45	potential	potential	ADJ
ijassa-1017	41	46	digital	digital	ADJ
ijassa-1017	41	47	conflictogenic	conflictogenic	NOUN
ijassa-1017	41	48	zones	zone	NOUN
ijassa-1017	41	49	.	.	PUNCT
ijassa-1017	42	1	development	development	NOUN
ijassa-1017	42	2	of	of	ADP
ijassa-1017	42	3	unified	unified	ADJ
ijassa-1017	42	4	approaches	approach	NOUN
ijassa-1017	42	5	to	to	ADP
ijassa-1017	42	6	building	build	VERB
ijassa-1017	42	7	neural	neural	ADJ
ijassa-1017	42	8	network	network	NOUN
ijassa-1017	42	9	115	115	NUM
ijassa-1017	42	10	copyright	copyright	NOUN
ijassa-1017	42	11	©	©	PROPN
ijassa-1017	42	12	2020	2020	NUM
ijassa-1017	42	13	assa	assa	NOUN
ijassa-1017	42	14	.	.	PUNCT
ijassa-1017	43	1	adv	adv	PROPN
ijassa-1017	43	2	.	.	PUNCT
ijassa-1017	44	1	in	in	ADP
ijassa-1017	44	2	systems	system	NOUN
ijassa-1017	44	3	science	science	NOUN
ijassa-1017	44	4	and	and	CCONJ
ijassa-1017	44	5	appl	appl	NOUN
ijassa-1017	44	6	.	.	PUNCT
ijassa-1017	45	1	(	(	PUNCT
ijassa-1017	45	2	2020	2020	NUM
ijassa-1017	45	3	)	)	PUNCT
ijassa-1017	45	4	fig	fig	NOUN
ijassa-1017	45	5	.	.	PUNCT
ijassa-1017	46	1	2.1	2.1	NUM
ijassa-1017	46	2	.	.	PUNCT
ijassa-1017	46	3	dynamics	dynamic	NOUN
ijassa-1017	46	4	of	of	ADP
ijassa-1017	46	5	messages	message	NOUN
ijassa-1017	46	6	(	(	PUNCT
ijassa-1017	46	7	sec	sec	PROPN
ijassa-1017	46	8	)	)	PUNCT
ijassa-1017	46	9	fig	fig	NOUN
ijassa-1017	46	10	.	.	PUNCT
ijassa-1017	47	1	2.2	2.2	NUM
ijassa-1017	47	2	.	.	PUNCT
ijassa-1017	47	3	dynamics	dynamic	NOUN
ijassa-1017	47	4	of	of	ADP
ijassa-1017	47	5	users	user	NOUN
ijassa-1017	47	6	’	'	PUNCT
ijassa-1017	47	7	activity	activity	NOUN
ijassa-1017	47	8	(	(	PUNCT
ijassa-1017	47	9	sec	sec	PROPN
ijassa-1017	47	10	)	)	PUNCT
ijassa-1017	47	11	fig	fig	NOUN
ijassa-1017	47	12	.	.	PUNCT
ijassa-1017	48	1	2.3	2.3	NUM
ijassa-1017	48	2	.	.	PUNCT
ijassa-1017	48	3	dynamics	dynamic	NOUN
ijassa-1017	48	4	of	of	ADP
ijassa-1017	48	5	messages	message	NOUN
ijassa-1017	48	6	(	(	PUNCT
ijassa-1017	48	7	nwc	nwc	PROPN
ijassa-1017	48	8	)	)	PUNCT
ijassa-1017	48	9	fig	fig	NOUN
ijassa-1017	48	10	.	.	PUNCT
ijassa-1017	49	1	2.4	2.4	NUM
ijassa-1017	49	2	.	.	PUNCT
ijassa-1017	50	1	dynamics	dynamic	NOUN
ijassa-1017	50	2	of	of	ADP
ijassa-1017	50	3	users	user	NOUN
ijassa-1017	50	4	’	'	PUNCT
ijassa-1017	50	5	activity	activity	NOUN
ijassa-1017	50	6	(	(	PUNCT
ijassa-1017	50	7	nwc	nwc	PROPN
ijassa-1017	50	8	)	)	PUNCT
ijassa-1017	50	9	to	to	PART
ijassa-1017	50	10	identify	identify	VERB
ijassa-1017	50	11	key	key	ADJ
ijassa-1017	50	12	topics	topic	NOUN
ijassa-1017	50	13	,	,	PUNCT
ijassa-1017	50	14	the	the	DET
ijassa-1017	50	15	user	user	NOUN
ijassa-1017	50	16	-	-	PUNCT
ijassa-1017	50	17	generated	generate	VERB
ijassa-1017	50	18	content	content	NOUN
ijassa-1017	50	19	was	be	AUX
ijassa-1017	50	20	analyzed	analyze	VERB
ijassa-1017	50	21	with	with	ADP
ijassa-1017	50	22	the	the	DET
ijassa-1017	50	23	allocation	allocation	NOUN
ijassa-1017	50	24	of	of	ADP
ijassa-1017	50	25	the	the	DET
ijassa-1017	50	26	semantic	semantic	ADJ
ijassa-1017	50	27	network	network	NOUN
ijassa-1017	50	28	,	,	PUNCT
ijassa-1017	50	29	as	as	ADV
ijassa-1017	50	30	well	well	ADV
ijassa-1017	50	31	as	as	ADP
ijassa-1017	50	32	the	the	DET
ijassa-1017	50	33	topic	topic	NOUN
ijassa-1017	50	34	structure	structure	NOUN
ijassa-1017	50	35	,	,	PUNCT
ijassa-1017	50	36	followed	follow	VERB
ijassa-1017	50	37	by	by	ADP
ijassa-1017	50	38	the	the	DET
ijassa-1017	50	39	content	content	NOUN
ijassa-1017	50	40	analysis	analysis	NOUN
ijassa-1017	50	41	.	.	PUNCT
ijassa-1017	51	1	the	the	DET
ijassa-1017	51	2	core	core	NOUN
ijassa-1017	51	3	of	of	ADP
ijassa-1017	51	4	the	the	DET
ijassa-1017	51	5	semantic	semantic	ADJ
ijassa-1017	51	6	network	network	NOUN
ijassa-1017	51	7	composed	compose	VERB
ijassa-1017	51	8	of	of	ADP
ijassa-1017	51	9	nominations	nomination	NOUN
ijassa-1017	51	10	with	with	ADP
ijassa-1017	51	11	a	a	DET
ijassa-1017	51	12	link	link	NOUN
ijassa-1017	51	13	weight	weight	NOUN
ijassa-1017	51	14	of	of	ADP
ijassa-1017	51	15	98	98	NUM
ijassa-1017	51	16	-	-	SYM
ijassa-1017	51	17	100	100	NUM
ijassa-1017	51	18	,	,	PUNCT
ijassa-1017	51	19	clearly	clearly	ADV
ijassa-1017	51	20	demonstrates	demonstrate	VERB
ijassa-1017	51	21	the	the	DET
ijassa-1017	51	22	problems	problem	NOUN
ijassa-1017	51	23	that	that	PRON
ijassa-1017	51	24	concern	concern	VERB
ijassa-1017	51	25	the	the	DET
ijassa-1017	51	26	residents	resident	NOUN
ijassa-1017	51	27	and	and	CCONJ
ijassa-1017	51	28	the	the	DET
ijassa-1017	51	29	complaints	complaint	NOUN
ijassa-1017	51	30	of	of	ADP
ijassa-1017	51	31	muscovites	muscovite	NOUN
ijassa-1017	51	32	against	against	ADP
ijassa-1017	51	33	these	these	DET
ijassa-1017	51	34	projects	project	NOUN
ijassa-1017	51	35	(	(	PUNCT
ijassa-1017	51	36	figures	figure	NOUN
ijassa-1017	51	37	2.5	2.5	NUM
ijassa-1017	51	38	;	;	PUNCT
ijassa-1017	51	39	2.6	2.6	NUM
ijassa-1017	51	40	.	.	PUNCT
ijassa-1017	51	41	)	)	PUNCT
ijassa-1017	51	42	.	.	PUNCT
ijassa-1017	52	1	fig	fig	NOUN
ijassa-1017	52	2	.	.	PUNCT
ijassa-1017	53	1	2.5	2.5	NUM
ijassa-1017	53	2	.	.	PUNCT
ijassa-1017	54	1	core	core	NOUN
ijassa-1017	54	2	of	of	ADP
ijassa-1017	54	3	the	the	DET
ijassa-1017	54	4	semantic	semantic	ADJ
ijassa-1017	54	5	network	network	NOUN
ijassa-1017	54	6	(	(	PUNCT
ijassa-1017	54	7	sec	sec	PROPN
ijassa-1017	54	8	)	)	PUNCT
ijassa-1017	54	9	116	116	NUM
ijassa-1017	54	10	n.	n.	PROPN
ijassa-1017	54	11	gabdrakhmanova	gabdrakhmanova	PROPN
ijassa-1017	54	12	,	,	PUNCT
ijassa-1017	54	13	m.	m.	NOUN
ijassa-1017	54	14	pilgun	pilgun	PROPN
ijassa-1017	54	15	copyright	copyright	NOUN
ijassa-1017	54	16	©	©	PROPN
ijassa-1017	54	17	2020	2020	NUM
ijassa-1017	54	18	assa	assa	NOUN
ijassa-1017	54	19	.	.	PUNCT
ijassa-1017	55	1	adv	adv	PROPN
ijassa-1017	55	2	.	.	PUNCT
ijassa-1017	56	1	in	in	ADP
ijassa-1017	56	2	systems	system	NOUN
ijassa-1017	56	3	science	science	NOUN
ijassa-1017	56	4	and	and	CCONJ
ijassa-1017	56	5	appl	appl	NOUN
ijassa-1017	56	6	.	.	PUNCT
ijassa-1017	57	1	(	(	PUNCT
ijassa-1017	57	2	2020	2020	NUM
ijassa-1017	57	3	)	)	PUNCT
ijassa-1017	57	4	fig	fig	NOUN
ijassa-1017	57	5	.	.	PUNCT
ijassa-1017	58	1	2.6	2.6	NUM
ijassa-1017	58	2	.	.	PUNCT
ijassa-1017	58	3	core	core	NOUN
ijassa-1017	58	4	of	of	ADP
ijassa-1017	58	5	the	the	DET
ijassa-1017	58	6	semantic	semantic	ADJ
ijassa-1017	58	7	network	network	NOUN
ijassa-1017	58	8	(	(	PUNCT
ijassa-1017	58	9	nwc	nwc	PROPN
ijassa-1017	58	10	)	)	PUNCT
ijassa-1017	58	11	the	the	DET
ijassa-1017	58	12	sec	sec	PROPN
ijassa-1017	58	13	-	-	PUNCT
ijassa-1017	58	14	related	relate	VERB
ijassa-1017	58	15	content	content	NOUN
ijassa-1017	58	16	includes	include	VERB
ijassa-1017	58	17	a	a	DET
ijassa-1017	58	18	large	large	ADJ
ijassa-1017	58	19	list	list	NOUN
ijassa-1017	58	20	of	of	ADP
ijassa-1017	58	21	problems	problem	NOUN
ijassa-1017	58	22	that	that	PRON
ijassa-1017	58	23	concern	concern	VERB
ijassa-1017	58	24	the	the	DET
ijassa-1017	58	25	residents	resident	NOUN
ijassa-1017	58	26	:	:	PUNCT
ijassa-1017	58	27	the	the	DET
ijassa-1017	58	28	destruction	destruction	NOUN
ijassa-1017	58	29	of	of	ADP
ijassa-1017	58	30	the	the	DET
ijassa-1017	58	31	radioactive	radioactive	ADJ
ijassa-1017	58	32	burial	burial	NOUN
ijassa-1017	58	33	ground	ground	NOUN
ijassa-1017	58	34	of	of	ADP
ijassa-1017	58	35	the	the	DET
ijassa-1017	58	36	polymer	polymer	NOUN
ijassa-1017	58	37	plant	plant	NOUN
ijassa-1017	58	38	,	,	PUNCT
ijassa-1017	58	39	the	the	DET
ijassa-1017	58	40	possible	possible	ADJ
ijassa-1017	58	41	ecological	ecological	ADJ
ijassa-1017	58	42	disaster	disaster	NOUN
ijassa-1017	58	43	,	,	PUNCT
ijassa-1017	58	44	radiation	radiation	NOUN
ijassa-1017	58	45	;	;	PUNCT
ijassa-1017	58	46	the	the	DET
ijassa-1017	58	47	growth	growth	NOUN
ijassa-1017	58	48	of	of	ADP
ijassa-1017	58	49	the	the	DET
ijassa-1017	58	50	number	number	NOUN
ijassa-1017	58	51	of	of	ADP
ijassa-1017	58	52	cancer	cancer	NOUN
ijassa-1017	58	53	diseases	disease	NOUN
ijassa-1017	58	54	,	,	PUNCT
ijassa-1017	58	55	the	the	DET
ijassa-1017	58	56	felling	felling	NOUN
ijassa-1017	58	57	of	of	ADP
ijassa-1017	58	58	trees	tree	NOUN
ijassa-1017	58	59	,	,	PUNCT
ijassa-1017	58	60	the	the	DET
ijassa-1017	58	61	allrussian	allrussian	ADJ
ijassa-1017	58	62	environmental	environmental	ADJ
ijassa-1017	58	63	protest	protest	NOUN
ijassa-1017	58	64	;	;	PUNCT
ijassa-1017	58	65	the	the	DET
ijassa-1017	58	66	residents	resident	NOUN
ijassa-1017	58	67	are	be	AUX
ijassa-1017	58	68	ready	ready	ADJ
ijassa-1017	58	69	to	to	PART
ijassa-1017	58	70	defend	defend	VERB
ijassa-1017	58	71	their	their	PRON
ijassa-1017	58	72	interests	interest	NOUN
ijassa-1017	58	73	in	in	ADP
ijassa-1017	58	74	protest	protest	NOUN
ijassa-1017	58	75	actions	action	NOUN
ijassa-1017	58	76	both	both	CCONJ
ijassa-1017	58	77	in	in	ADP
ijassa-1017	58	78	virtual	virtual	ADJ
ijassa-1017	58	79	and	and	CCONJ
ijassa-1017	58	80	real	real	ADJ
ijassa-1017	58	81	space	space	NOUN
ijassa-1017	58	82	;	;	PUNCT
ijassa-1017	58	83	a	a	DET
ijassa-1017	58	84	sharp	sharp	ADJ
ijassa-1017	58	85	negative	negative	ADJ
ijassa-1017	58	86	attitude	attitude	NOUN
ijassa-1017	58	87	towards	towards	ADP
ijassa-1017	58	88	the	the	DET
ijassa-1017	58	89	actions	action	NOUN
ijassa-1017	58	90	of	of	ADP
ijassa-1017	58	91	representatives	representative	NOUN
ijassa-1017	58	92	of	of	ADP
ijassa-1017	58	93	the	the	DET
ijassa-1017	58	94	administrative	administrative	ADJ
ijassa-1017	58	95	apparatus	apparatus	NOUN
ijassa-1017	58	96	;	;	PUNCT
ijassa-1017	58	97	expansion	expansion	NOUN
ijassa-1017	58	98	of	of	ADP
ijassa-1017	58	99	the	the	DET
ijassa-1017	58	100	moscow	moscow	PROPN
ijassa-1017	58	101	borders	border	NOUN
ijassa-1017	58	102	,	,	PUNCT
ijassa-1017	58	103	renovation	renovation	NOUN
ijassa-1017	58	104	,	,	PUNCT
ijassa-1017	58	105	construction	construction	NOUN
ijassa-1017	58	106	of	of	ADP
ijassa-1017	58	107	other	other	ADJ
ijassa-1017	58	108	road	road	NOUN
ijassa-1017	58	109	and	and	CCONJ
ijassa-1017	58	110	transport	transport	NOUN
ijassa-1017	58	111	facilities	facility	NOUN
ijassa-1017	58	112	;	;	PUNCT
ijassa-1017	58	113	violation	violation	NOUN
ijassa-1017	58	114	of	of	ADP
ijassa-1017	58	115	work	work	NOUN
ijassa-1017	58	116	methods	method	NOUN
ijassa-1017	58	117	,	,	PUNCT
ijassa-1017	58	118	lobbying	lobby	VERB
ijassa-1017	58	119	for	for	ADP
ijassa-1017	58	120	laws	law	NOUN
ijassa-1017	58	121	,	,	PUNCT
ijassa-1017	58	122	deterioration	deterioration	NOUN
ijassa-1017	58	123	of	of	ADP
ijassa-1017	58	124	the	the	DET
ijassa-1017	58	125	transport	transport	NOUN
ijassa-1017	58	126	situation	situation	NOUN
ijassa-1017	58	127	;	;	PUNCT
ijassa-1017	58	128	fake	fake	ADJ
ijassa-1017	58	129	expertise	expertise	NOUN
ijassa-1017	58	130	papers	paper	NOUN
ijassa-1017	58	131	.	.	PUNCT
ijassa-1017	59	1	positive	positive	ADJ
ijassa-1017	59	2	and	and	CCONJ
ijassa-1017	59	3	neutral	neutral	ADJ
ijassa-1017	59	4	messages	message	NOUN
ijassa-1017	59	5	are	be	AUX
ijassa-1017	59	6	presented	present	VERB
ijassa-1017	59	7	in	in	ADP
ijassa-1017	59	8	the	the	DET
ijassa-1017	59	9	official	official	ADJ
ijassa-1017	59	10	content	content	NOUN
ijassa-1017	59	11	containing	contain	VERB
ijassa-1017	59	12	a	a	DET
ijassa-1017	59	13	description	description	NOUN
ijassa-1017	59	14	of	of	ADP
ijassa-1017	59	15	the	the	DET
ijassa-1017	59	16	benefits	benefit	NOUN
ijassa-1017	59	17	that	that	PRON
ijassa-1017	59	18	the	the	DET
ijassa-1017	59	19	residents	resident	NOUN
ijassa-1017	59	20	will	will	AUX
ijassa-1017	59	21	receive	receive	VERB
ijassa-1017	59	22	from	from	ADP
ijassa-1017	59	23	improving	improve	VERB
ijassa-1017	59	24	the	the	DET
ijassa-1017	59	25	transport	transport	NOUN
ijassa-1017	59	26	situation	situation	NOUN
ijassa-1017	59	27	and	and	CCONJ
ijassa-1017	59	28	development	development	NOUN
ijassa-1017	59	29	of	of	ADP
ijassa-1017	59	30	the	the	DET
ijassa-1017	59	31	city	city	NOUN
ijassa-1017	59	32	’s	’s	PART
ijassa-1017	59	33	transport	transport	NOUN
ijassa-1017	59	34	system	system	NOUN
ijassa-1017	59	35	.	.	PUNCT
ijassa-1017	60	1	the	the	DET
ijassa-1017	60	2	north	north	NOUN
ijassa-1017	60	3	-	-	PUNCT
ijassa-1017	60	4	west	west	NOUN
ijassa-1017	60	5	chord	chord	NOUN
ijassa-1017	60	6	-	-	PUNCT
ijassa-1017	60	7	related	relate	VERB
ijassa-1017	60	8	content	content	NOUN
ijassa-1017	60	9	includes	include	VERB
ijassa-1017	60	10	official	official	ADJ
ijassa-1017	60	11	messages	message	NOUN
ijassa-1017	60	12	mainly	mainly	ADV
ijassa-1017	60	13	;	;	PUNCT
ijassa-1017	60	14	the	the	DET
ijassa-1017	60	15	residents	resident	NOUN
ijassa-1017	60	16	almost	almost	ADV
ijassa-1017	60	17	do	do	AUX
ijassa-1017	60	18	not	not	PART
ijassa-1017	60	19	generate	generate	VERB
ijassa-1017	60	20	any	any	DET
ijassa-1017	60	21	content	content	NOUN
ijassa-1017	60	22	,	,	PUNCT
ijassa-1017	60	23	which	which	PRON
ijassa-1017	60	24	indicates	indicate	VERB
ijassa-1017	60	25	a	a	DET
ijassa-1017	60	26	calm	calm	ADJ
ijassa-1017	60	27	attitude	attitude	NOUN
ijassa-1017	60	28	towards	towards	ADP
ijassa-1017	60	29	the	the	DET
ijassa-1017	60	30	project	project	NOUN
ijassa-1017	60	31	.	.	PUNCT
ijassa-1017	61	1	key	key	ADJ
ijassa-1017	61	2	topics	topic	NOUN
ijassa-1017	61	3	are	be	AUX
ijassa-1017	61	4	related	relate	VERB
ijassa-1017	61	5	to	to	ADP
ijassa-1017	61	6	coverage	coverage	NOUN
ijassa-1017	61	7	of	of	ADP
ijassa-1017	61	8	different	different	ADJ
ijassa-1017	61	9	stages	stage	NOUN
ijassa-1017	61	10	of	of	ADP
ijassa-1017	61	11	the	the	DET
ijassa-1017	61	12	construction	construction	NOUN
ijassa-1017	61	13	implementation	implementation	NOUN
ijassa-1017	61	14	,	,	PUNCT
ijassa-1017	61	15	as	as	ADV
ijassa-1017	61	16	well	well	ADV
ijassa-1017	61	17	as	as	ADP
ijassa-1017	61	18	information	information	NOUN
ijassa-1017	61	19	about	about	ADP
ijassa-1017	61	20	similar	similar	ADJ
ijassa-1017	61	21	projects	project	NOUN
ijassa-1017	61	22	;	;	PUNCT
ijassa-1017	61	23	they	they	PRON
ijassa-1017	61	24	present	present	VERB
ijassa-1017	61	25	the	the	DET
ijassa-1017	61	26	north	north	NOUN
ijassa-1017	61	27	-	-	PUNCT
ijassa-1017	61	28	west	west	NOUN
ijassa-1017	61	29	chord	chord	NOUN
ijassa-1017	61	30	as	as	ADP
ijassa-1017	61	31	part	part	NOUN
ijassa-1017	61	32	of	of	ADP
ijassa-1017	61	33	the	the	DET
ijassa-1017	61	34	new	new	ADJ
ijassa-1017	61	35	moscow	moscow	PROPN
ijassa-1017	61	36	chord	chord	NOUN
ijassa-1017	61	37	ring	ring	NOUN
ijassa-1017	61	38	.	.	PUNCT
ijassa-1017	62	1	the	the	DET
ijassa-1017	62	2	sentiment	sentiment	NOUN
ijassa-1017	62	3	analysis	analysis	NOUN
ijassa-1017	62	4	made	make	VERB
ijassa-1017	62	5	it	it	PRON
ijassa-1017	62	6	possible	possible	ADJ
ijassa-1017	62	7	to	to	PART
ijassa-1017	62	8	clusterize	clusterize	VERB
ijassa-1017	62	9	the	the	DET
ijassa-1017	62	10	content	content	NOUN
ijassa-1017	62	11	by	by	ADP
ijassa-1017	62	12	sentiment	sentiment	NOUN
ijassa-1017	62	13	(	(	PUNCT
ijassa-1017	62	14	figure	figure	NOUN
ijassa-1017	62	15	2.7	2.7	NUM
ijassa-1017	62	16	.	.	PUNCT
ijassa-1017	62	17	)	)	PUNCT
ijassa-1017	62	18	.	.	PUNCT
ijassa-1017	63	1	analysis	analysis	NOUN
ijassa-1017	63	2	of	of	ADP
ijassa-1017	63	3	the	the	DET
ijassa-1017	63	4	level	level	NOUN
ijassa-1017	63	5	of	of	ADP
ijassa-1017	63	6	aggression	aggression	NOUN
ijassa-1017	63	7	showed	show	VERB
ijassa-1017	63	8	a	a	DET
ijassa-1017	63	9	high	high	ADJ
ijassa-1017	63	10	conflict	conflict	NOUN
ijassa-1017	63	11	potential	potential	NOUN
ijassa-1017	63	12	of	of	ADP
ijassa-1017	63	13	messages	message	NOUN
ijassa-1017	63	14	dedicated	dedicate	VERB
ijassa-1017	63	15	to	to	ADP
ijassa-1017	63	16	the	the	DET
ijassa-1017	63	17	sec	sec	PROPN
ijassa-1017	63	18	and	and	CCONJ
ijassa-1017	63	19	the	the	DET
ijassa-1017	63	20	absence	absence	NOUN
ijassa-1017	63	21	of	of	ADP
ijassa-1017	63	22	indicators	indicator	NOUN
ijassa-1017	63	23	of	of	ADP
ijassa-1017	63	24	the	the	DET
ijassa-1017	63	25	conflict	conflict	NOUN
ijassa-1017	63	26	potential	potential	NOUN
ijassa-1017	63	27	for	for	ADP
ijassa-1017	63	28	the	the	DET
ijassa-1017	63	29	content	content	NOUN
ijassa-1017	63	30	dedicated	dedicate	VERB
ijassa-1017	63	31	to	to	ADP
ijassa-1017	63	32	the	the	DET
ijassa-1017	63	33	nwc	nwc	PROPN
ijassa-1017	63	34	(	(	PUNCT
ijassa-1017	63	35	figure	figure	NOUN
ijassa-1017	63	36	2.8	2.8	NUM
ijassa-1017	63	37	.	.	PUNCT
ijassa-1017	63	38	)	)	PUNCT
ijassa-1017	63	39	.	.	PUNCT
ijassa-1017	64	1	development	development	NOUN
ijassa-1017	64	2	of	of	ADP
ijassa-1017	64	3	unified	unified	ADJ
ijassa-1017	64	4	approaches	approach	NOUN
ijassa-1017	64	5	to	to	ADP
ijassa-1017	64	6	building	build	VERB
ijassa-1017	64	7	neural	neural	ADJ
ijassa-1017	64	8	network	network	NOUN
ijassa-1017	64	9	117	117	NUM
ijassa-1017	64	10	copyright	copyright	NOUN
ijassa-1017	64	11	©	©	PROPN
ijassa-1017	64	12	2020	2020	NUM
ijassa-1017	64	13	assa	assa	NOUN
ijassa-1017	64	14	.	.	PUNCT
ijassa-1017	65	1	adv	adv	PROPN
ijassa-1017	65	2	.	.	PUNCT
ijassa-1017	66	1	in	in	ADP
ijassa-1017	66	2	systems	system	NOUN
ijassa-1017	66	3	science	science	NOUN
ijassa-1017	66	4	and	and	CCONJ
ijassa-1017	66	5	appl	appl	NOUN
ijassa-1017	66	6	.	.	PUNCT
ijassa-1017	67	1	(	(	PUNCT
ijassa-1017	67	2	2020	2020	NUM
ijassa-1017	67	3	)	)	PUNCT
ijassa-1017	67	4	fig	fig	NOUN
ijassa-1017	67	5	.	.	PUNCT
ijassa-1017	68	1	2.7	2.7	NUM
ijassa-1017	68	2	.	.	PUNCT
ijassa-1017	68	3	sentiment	sentiment	NOUN
ijassa-1017	68	4	-	-	PUNCT
ijassa-1017	68	5	analysis	analysis	NOUN
ijassa-1017	68	6	results	result	NOUN
ijassa-1017	68	7	,	,	PUNCT
ijassa-1017	68	8	sentiment	sentiment	NOUN
ijassa-1017	68	9	clusterization	clusterization	PROPN
ijassa-1017	68	10	fig	fig	NOUN
ijassa-1017	68	11	.	.	PUNCT
ijassa-1017	69	1	2.8	2.8	NUM
ijassa-1017	69	2	.	.	PUNCT
ijassa-1017	69	3	level	level	NOUN
ijassa-1017	69	4	of	of	ADP
ijassa-1017	69	5	aggression	aggression	NOUN
ijassa-1017	69	6	in	in	ADP
ijassa-1017	69	7	the	the	DET
ijassa-1017	69	8	content	content	NOUN
ijassa-1017	69	9	118	118	NUM
ijassa-1017	69	10	n.	n.	PROPN
ijassa-1017	69	11	gabdrakhmanova	gabdrakhmanova	PROPN
ijassa-1017	69	12	,	,	PUNCT
ijassa-1017	69	13	m.	m.	NOUN
ijassa-1017	69	14	pilgun	pilgun	PROPN
ijassa-1017	69	15	copyright	copyright	NOUN
ijassa-1017	70	1	©	©	PROPN
ijassa-1017	70	2	2020	2020	NUM
ijassa-1017	70	3	assa	assa	NOUN
ijassa-1017	70	4	.	.	PUNCT
ijassa-1017	71	1	adv	adv	PROPN
ijassa-1017	71	2	.	.	PUNCT
ijassa-1017	72	1	in	in	ADP
ijassa-1017	72	2	systems	system	NOUN
ijassa-1017	72	3	science	science	NOUN
ijassa-1017	72	4	and	and	CCONJ
ijassa-1017	72	5	appl	appl	NOUN
ijassa-1017	72	6	.	.	PUNCT
ijassa-1017	73	1	(	(	PUNCT
ijassa-1017	73	2	2020	2020	NUM
ijassa-1017	73	3	)	)	PUNCT
ijassa-1017	73	4	digital	digital	ADJ
ijassa-1017	73	5	conflictogenic	conflictogenic	NOUN
ijassa-1017	73	6	zones	zone	NOUN
ijassa-1017	73	7	were	be	AUX
ijassa-1017	73	8	identified	identify	VERB
ijassa-1017	73	9	taking	take	VERB
ijassa-1017	73	10	into	into	ADP
ijassa-1017	73	11	account	account	NOUN
ijassa-1017	73	12	the	the	DET
ijassa-1017	73	13	dynamics	dynamic	NOUN
ijassa-1017	73	14	of	of	ADP
ijassa-1017	73	15	the	the	DET
ijassa-1017	73	16	actors	actor	NOUN
ijassa-1017	73	17	’	’	PART
ijassa-1017	73	18	activity	activity	NOUN
ijassa-1017	73	19	,	,	PUNCT
ijassa-1017	73	20	the	the	DET
ijassa-1017	73	21	user	user	NOUN
ijassa-1017	73	22	-	-	PUNCT
ijassa-1017	73	23	generated	generate	VERB
ijassa-1017	73	24	content	content	NOUN
ijassa-1017	73	25	,	,	PUNCT
ijassa-1017	73	26	as	as	ADV
ijassa-1017	73	27	well	well	ADV
ijassa-1017	73	28	as	as	ADP
ijassa-1017	73	29	the	the	DET
ijassa-1017	73	30	analysis	analysis	NOUN
ijassa-1017	73	31	of	of	ADP
ijassa-1017	73	32	textual	textual	ADJ
ijassa-1017	73	33	data	datum	NOUN
ijassa-1017	73	34	that	that	PRON
ijassa-1017	73	35	make	make	VERB
ijassa-1017	73	36	up	up	ADP
ijassa-1017	73	37	the	the	DET
ijassa-1017	73	38	negative	negative	ADJ
ijassa-1017	73	39	cluster	cluster	NOUN
ijassa-1017	73	40	.	.	PUNCT
ijassa-1017	74	1	the	the	DET
ijassa-1017	74	2	most	most	ADV
ijassa-1017	74	3	indicative	indicative	ADJ
ijassa-1017	74	4	criterion	criterion	NOUN
ijassa-1017	74	5	was	be	AUX
ijassa-1017	74	6	the	the	DET
ijassa-1017	74	7	identification	identification	NOUN
ijassa-1017	74	8	of	of	ADP
ijassa-1017	74	9	the	the	DET
ijassa-1017	74	10	presence	presence	NOUN
ijassa-1017	74	11	or	or	CCONJ
ijassa-1017	74	12	absence	absence	NOUN
ijassa-1017	74	13	of	of	ADP
ijassa-1017	74	14	aggression	aggression	NOUN
ijassa-1017	74	15	;	;	PUNCT
ijassa-1017	74	16	in	in	ADP
ijassa-1017	74	17	particular	particular	ADJ
ijassa-1017	74	18	,	,	PUNCT
ijassa-1017	74	19	the	the	DET
ijassa-1017	74	20	presence	presence	NOUN
ijassa-1017	74	21	of	of	ADP
ijassa-1017	74	22	strong	strong	ADJ
ijassa-1017	74	23	aggression	aggression	NOUN
ijassa-1017	74	24	indicates	indicate	VERB
ijassa-1017	74	25	a	a	DET
ijassa-1017	74	26	high	high	ADJ
ijassa-1017	74	27	level	level	NOUN
ijassa-1017	74	28	of	of	ADP
ijassa-1017	74	29	negative	negative	ADJ
ijassa-1017	74	30	attitude	attitude	NOUN
ijassa-1017	74	31	of	of	ADP
ijassa-1017	74	32	local	local	ADJ
ijassa-1017	74	33	residents	resident	NOUN
ijassa-1017	74	34	towards	towards	ADP
ijassa-1017	74	35	the	the	DET
ijassa-1017	74	36	sec	sec	PROPN
ijassa-1017	74	37	project	project	NOUN
ijassa-1017	74	38	.	.	PUNCT
ijassa-1017	75	1	the	the	DET
ijassa-1017	75	2	derivation	derivation	NOUN
ijassa-1017	75	3	of	of	ADP
ijassa-1017	75	4	the	the	DET
ijassa-1017	75	5	social	social	ADJ
ijassa-1017	75	6	stress	stress	NOUN
ijassa-1017	75	7	and	and	CCONJ
ijassa-1017	75	8	well	well	ADV
ijassa-1017	75	9	-	-	PUNCT
ijassa-1017	75	10	being	being	NOUN
ijassa-1017	75	11	indices	index	NOUN
ijassa-1017	75	12	made	make	VERB
ijassa-1017	75	13	it	it	PRON
ijassa-1017	75	14	possible	possible	ADJ
ijassa-1017	75	15	to	to	PART
ijassa-1017	75	16	calculate	calculate	VERB
ijassa-1017	75	17	the	the	DET
ijassa-1017	75	18	quantitative	quantitative	ADJ
ijassa-1017	75	19	expression	expression	NOUN
ijassa-1017	75	20	of	of	ADP
ijassa-1017	75	21	the	the	DET
ijassa-1017	75	22	residents	resident	NOUN
ijassa-1017	75	23	’	’	PART
ijassa-1017	75	24	attitude	attitude	NOUN
ijassa-1017	75	25	towards	towards	ADP
ijassa-1017	75	26	the	the	DET
ijassa-1017	75	27	implementation	implementation	NOUN
ijassa-1017	75	28	of	of	ADP
ijassa-1017	75	29	the	the	DET
ijassa-1017	75	30	sec	sec	PROPN
ijassa-1017	75	31	and	and	CCONJ
ijassa-1017	75	32	nwc	nwc	PROPN
ijassa-1017	75	33	urban	urban	PROPN
ijassa-1017	75	34	development	development	NOUN
ijassa-1017	75	35	projects	project	NOUN
ijassa-1017	75	36	(	(	PUNCT
ijassa-1017	75	37	figure	figure	NOUN
ijassa-1017	75	38	2.9	2.9	NUM
ijassa-1017	75	39	.	.	PUNCT
ijassa-1017	75	40	)	)	PUNCT
ijassa-1017	75	41	.	.	PUNCT
ijassa-1017	75	42	.	.	PUNCT
ijassa-1017	76	1	fig	fig	NOUN
ijassa-1017	76	2	.	.	PUNCT
ijassa-1017	77	1	2.9	2.9	NUM
ijassa-1017	77	2	.	.	PUNCT
ijassa-1017	78	1	social	social	ADJ
ijassa-1017	78	2	stress	stress	NOUN
ijassa-1017	78	3	index	index	NOUN
ijassa-1017	78	4	and	and	CCONJ
ijassa-1017	78	5	social	social	ADJ
ijassa-1017	78	6	well	well	ADV
ijassa-1017	78	7	-	-	PUNCT
ijassa-1017	78	8	being	being	NOUN
ijassa-1017	78	9	index	index	NOUN
ijassa-1017	78	10	2.2	2.2	NUM
ijassa-1017	78	11	.	.	PUNCT
ijassa-1017	79	1	building	build	VERB
ijassa-1017	79	2	of	of	ADP
ijassa-1017	79	3	mathematical	mathematical	ADJ
ijassa-1017	79	4	models	model	NOUN
ijassa-1017	79	5	this	this	DET
ijassa-1017	79	6	section	section	NOUN
ijassa-1017	79	7	is	be	AUX
ijassa-1017	79	8	dedicated	dedicate	VERB
ijassa-1017	79	9	to	to	ADP
ijassa-1017	79	10	the	the	DET
ijassa-1017	79	11	building	building	NOUN
ijassa-1017	79	12	of	of	ADP
ijassa-1017	79	13	mathematical	mathematical	ADJ
ijassa-1017	79	14	models	model	NOUN
ijassa-1017	79	15	with	with	ADP
ijassa-1017	79	16	a	a	DET
ijassa-1017	79	17	focus	focus	NOUN
ijassa-1017	79	18	on	on	ADP
ijassa-1017	79	19	the	the	DET
ijassa-1017	79	20	study	study	NOUN
ijassa-1017	79	21	of	of	ADP
ijassa-1017	79	22	the	the	DET
ijassa-1017	79	23	system	system	NOUN
ijassa-1017	79	24	dynamics	dynamic	NOUN
ijassa-1017	79	25	(	(	PUNCT
ijassa-1017	79	26	the	the	DET
ijassa-1017	79	27	dynamics	dynamic	NOUN
ijassa-1017	79	28	of	of	ADP
ijassa-1017	79	29	the	the	DET
ijassa-1017	79	30	population	population	NOUN
ijassa-1017	79	31	’s	’s	PART
ijassa-1017	79	32	attitude	attitude	NOUN
ijassa-1017	79	33	towards	towards	ADP
ijassa-1017	79	34	the	the	DET
ijassa-1017	79	35	project	project	NOUN
ijassa-1017	79	36	p	p	X
ijassa-1017	79	37	under	under	ADP
ijassa-1017	79	38	consideration	consideration	NOUN
ijassa-1017	79	39	)	)	PUNCT
ijassa-1017	79	40	.	.	PUNCT
ijassa-1017	80	1	the	the	DET
ijassa-1017	80	2	problem	problem	NOUN
ijassa-1017	80	3	was	be	AUX
ijassa-1017	80	4	solved	solve	VERB
ijassa-1017	80	5	on	on	ADP
ijassa-1017	80	6	the	the	DET
ijassa-1017	80	7	basis	basis	NOUN
ijassa-1017	80	8	of	of	ADP
ijassa-1017	80	9	research	research	NOUN
ijassa-1017	80	10	data	datum	NOUN
ijassa-1017	80	11	on	on	ADP
ijassa-1017	80	12	the	the	DET
ijassa-1017	80	13	attitude	attitude	NOUN
ijassa-1017	80	14	of	of	ADP
ijassa-1017	80	15	the	the	DET
ijassa-1017	80	16	population	population	NOUN
ijassa-1017	80	17	to	to	ADP
ijassa-1017	80	18	the	the	DET
ijassa-1017	80	19	construction	construction	NOUN
ijassa-1017	80	20	of	of	ADP
ijassa-1017	80	21	the	the	DET
ijassa-1017	80	22	south	south	NOUN
ijassa-1017	80	23	-	-	PUNCT
ijassa-1017	80	24	east	east	NOUN
ijassa-1017	80	25	(	(	PUNCT
ijassa-1017	80	26	se	se	ADJ
ijassa-1017	80	27	)	)	PUNCT
ijassa-1017	80	28	chord	chord	NOUN
ijassa-1017	80	29	and	and	CCONJ
ijassa-1017	80	30	the	the	DET
ijassa-1017	80	31	north	north	NOUN
ijassa-1017	80	32	-	-	PUNCT
ijassa-1017	80	33	west	west	NOUN
ijassa-1017	80	34	(	(	PUNCT
ijassa-1017	80	35	nw	nw	NOUN
ijassa-1017	80	36	)	)	PUNCT
ijassa-1017	80	37	chord	chord	NOUN
ijassa-1017	80	38	.	.	PUNCT
ijassa-1017	81	1	in	in	ADP
ijassa-1017	81	2	the	the	DET
ijassa-1017	81	3	previous	previous	ADJ
ijassa-1017	81	4	section	section	NOUN
ijassa-1017	81	5	,	,	PUNCT
ijassa-1017	81	6	text	text	NOUN
ijassa-1017	81	7	data	datum	NOUN
ijassa-1017	81	8	were	be	AUX
ijassa-1017	81	9	analyzed	analyze	VERB
ijassa-1017	81	10	after	after	ADP
ijassa-1017	81	11	filtering	filter	VERB
ijassa-1017	81	12	using	use	VERB
ijassa-1017	81	13	associative	associative	ADJ
ijassa-1017	81	14	neural	neural	ADJ
ijassa-1017	81	15	networks	network	NOUN
ijassa-1017	81	16	and	and	CCONJ
ijassa-1017	81	17	visualization	visualization	NOUN
ijassa-1017	81	18	programs	program	NOUN
ijassa-1017	81	19	.	.	PUNCT
ijassa-1017	82	1	further	far	ADV
ijassa-1017	82	2	,	,	PUNCT
ijassa-1017	82	3	based	base	VERB
ijassa-1017	82	4	on	on	ADP
ijassa-1017	82	5	the	the	DET
ijassa-1017	82	6	data	datum	NOUN
ijassa-1017	82	7	selected	select	VERB
ijassa-1017	82	8	using	use	VERB
ijassa-1017	82	9	the	the	DET
ijassa-1017	82	10	machine	machine	NOUN
ijassa-1017	82	11	learning	learning	NOUN
ijassa-1017	82	12	method	method	NOUN
ijassa-1017	82	13	,	,	PUNCT
ijassa-1017	82	14	it	it	PRON
ijassa-1017	82	15	is	be	AUX
ijassa-1017	82	16	required	require	VERB
ijassa-1017	82	17	to	to	PART
ijassa-1017	82	18	build	build	VERB
ijassa-1017	82	19	mathematical	mathematical	ADJ
ijassa-1017	82	20	models	model	NOUN
ijassa-1017	82	21	.	.	PUNCT
ijassa-1017	83	1	to	to	PART
ijassa-1017	83	2	build	build	VERB
ijassa-1017	83	3	mathematical	mathematical	ADJ
ijassa-1017	83	4	models	model	NOUN
ijassa-1017	83	5	,	,	PUNCT
ijassa-1017	83	6	it	it	PRON
ijassa-1017	83	7	is	be	AUX
ijassa-1017	83	8	necessary	necessary	ADJ
ijassa-1017	83	9	to	to	PART
ijassa-1017	83	10	formalize	formalize	VERB
ijassa-1017	83	11	the	the	DET
ijassa-1017	83	12	problem	problem	NOUN
ijassa-1017	83	13	under	under	ADP
ijassa-1017	83	14	consideration	consideration	NOUN
ijassa-1017	83	15	.	.	PUNCT
ijassa-1017	84	1	2.3	2.3	NUM
ijassa-1017	84	2	.	.	PUNCT
ijassa-1017	84	3	formalization	formalization	NOUN
ijassa-1017	84	4	of	of	ADP
ijassa-1017	84	5	the	the	DET
ijassa-1017	84	6	problem	problem	NOUN
ijassa-1017	84	7	of	of	ADP
ijassa-1017	84	8	building	build	VERB
ijassa-1017	84	9	a	a	DET
ijassa-1017	84	10	mathematical	mathematical	ADJ
ijassa-1017	84	11	model	model	NOUN
ijassa-1017	84	12	given	give	VERB
ijassa-1017	84	13	:	:	PUNCT
ijassa-1017	84	14	set	set	NOUN
ijassa-1017	84	15	w’={w’(t	w’={w’(t	NUM
ijassa-1017	84	16	)	)	PUNCT
ijassa-1017	84	17	}	}	PUNCT
ijassa-1017	84	18	,	,	PUNCT
ijassa-1017	84	19	t	t	PROPN
ijassa-1017	84	20	is	be	AUX
ijassa-1017	84	21	within	within	ADP
ijassa-1017	84	22	[	[	X
ijassa-1017	84	23	0,t	0,t	X
ijassa-1017	84	24	]	]	X
ijassa-1017	84	25	,	,	PUNCT
ijassa-1017	84	26	where	where	SCONJ
ijassa-1017	84	27	w’(t	w’(t	PROPN
ijassa-1017	84	28	)	)	PUNCT
ijassa-1017	84	29	is	be	AUX
ijassa-1017	84	30	a	a	DET
ijassa-1017	84	31	numerical	numerical	ADJ
ijassa-1017	84	32	vector	vector	NOUN
ijassa-1017	84	33	corresponding	correspond	VERB
ijassa-1017	84	34	to	to	ADP
ijassa-1017	84	35	the	the	DET
ijassa-1017	84	36	text	text	NOUN
ijassa-1017	84	37	at	at	ADP
ijassa-1017	84	38	time	time	NOUN
ijassa-1017	84	39	moment	moment	NOUN
ijassa-1017	84	40	t	t	PROPN
ijassa-1017	84	41	after	after	ADP
ijassa-1017	84	42	its	its	PRON
ijassa-1017	84	43	vectorization	vectorization	NOUN
ijassa-1017	84	44	.	.	PUNCT
ijassa-1017	85	1	the	the	DET
ijassa-1017	85	2	elements	element	NOUN
ijassa-1017	85	3	of	of	ADP
ijassa-1017	85	4	the	the	DET
ijassa-1017	85	5	set	set	NOUN
ijassa-1017	85	6	are	be	AUX
ijassa-1017	85	7	divided	divide	VERB
ijassa-1017	85	8	into	into	ADP
ijassa-1017	85	9	clusters	cluster	NOUN
ijassa-1017	85	10	according	accord	VERB
ijassa-1017	85	11	to	to	ADP
ijassa-1017	85	12	the	the	DET
ijassa-1017	85	13	criterion	criterion	NOUN
ijassa-1017	85	14	of	of	ADP
ijassa-1017	85	15	nearness	nearness	NOUN
ijassa-1017	85	16	to	to	ADP
ijassa-1017	85	17	some	some	DET
ijassa-1017	85	18	feature	feature	NOUN
ijassa-1017	85	19	set	set	VERB
ijassa-1017	85	20	.	.	PUNCT
ijassa-1017	86	1	in	in	ADP
ijassa-1017	86	2	our	our	PRON
ijassa-1017	86	3	problem	problem	NOUN
ijassa-1017	86	4	,	,	PUNCT
ijassa-1017	86	5	this	this	PRON
ijassa-1017	86	6	is	be	AUX
ijassa-1017	86	7	a	a	DET
ijassa-1017	86	8	relation	relation	NOUN
ijassa-1017	86	9	to	to	ADP
ijassa-1017	86	10	a	a	DET
ijassa-1017	86	11	certain	certain	ADJ
ijassa-1017	86	12	project	project	NOUN
ijassa-1017	86	13	p.	p.	NOUN
ijassa-1017	86	14	in	in	ADP
ijassa-1017	86	15	textual	textual	ADJ
ijassa-1017	86	16	analysis	analysis	NOUN
ijassa-1017	86	17	,	,	PUNCT
ijassa-1017	86	18	several	several	ADJ
ijassa-1017	86	19	methods	method	NOUN
ijassa-1017	86	20	have	have	AUX
ijassa-1017	86	21	been	be	AUX
ijassa-1017	86	22	developed	develop	VERB
ijassa-1017	86	23	for	for	ADP
ijassa-1017	86	24	solving	solve	VERB
ijassa-1017	86	25	this	this	DET
ijassa-1017	86	26	problem	problem	NOUN
ijassa-1017	86	27	.	.	PUNCT
ijassa-1017	87	1	for	for	ADP
ijassa-1017	87	2	example	example	NOUN
ijassa-1017	87	3	,	,	PUNCT
ijassa-1017	87	4	one	one	NUM
ijassa-1017	87	5	way	way	NOUN
ijassa-1017	87	6	to	to	PART
ijassa-1017	87	7	determine	determine	VERB
ijassa-1017	87	8	the	the	DET
ijassa-1017	87	9	proximity	proximity	NOUN
ijassa-1017	87	10	of	of	ADP
ijassa-1017	87	11	vectors	vector	NOUN
ijassa-1017	87	12	is	be	AUX
ijassa-1017	87	13	to	to	PART
ijassa-1017	87	14	calculate	calculate	VERB
ijassa-1017	87	15	the	the	DET
ijassa-1017	87	16	cosine	cosine	NOUN
ijassa-1017	87	17	distance	distance	NOUN
ijassa-1017	87	18	using	use	VERB
ijassa-1017	87	19	the	the	DET
ijassa-1017	87	20	cosine	cosine	NOUN
ijassa-1017	87	21	of	of	ADP
ijassa-1017	87	22	the	the	DET
ijassa-1017	87	23	angle	angle	NOUN
ijassa-1017	87	24	between	between	ADP
ijassa-1017	87	25	the	the	DET
ijassa-1017	87	26	vectors	vector	NOUN
ijassa-1017	87	27	.	.	PUNCT
ijassa-1017	88	1	the	the	DET
ijassa-1017	88	2	clustering	clustering	NOUN
ijassa-1017	88	3	resulted	result	VERB
ijassa-1017	88	4	in	in	ADP
ijassa-1017	88	5	array	array	NOUN
ijassa-1017	88	6	,	,	PUNCT
ijassa-1017	88	7	where	where	SCONJ
ijassa-1017	88	8	t	t	PROPN
ijassa-1017	88	9	is	be	AUX
ijassa-1017	88	10	time	time	NOUN
ijassa-1017	88	11	,	,	PUNCT
ijassa-1017	88	12	w(t	w(t	PROPN
ijassa-1017	88	13	)	)	PUNCT
ijassa-1017	88	14	is	be	AUX
ijassa-1017	88	15	a	a	DET
ijassa-1017	88	16	numeric	numeric	ADJ
ijassa-1017	88	17	vector	vector	NOUN
ijassa-1017	88	18	of	of	ADP
ijassa-1017	88	19	messages	message	NOUN
ijassa-1017	88	20	after	after	ADP
ijassa-1017	88	21	filtering	filter	VERB
ijassa-1017	88	22	by	by	ADP
ijassa-1017	88	23	the	the	DET
ijassa-1017	88	24	criterion	criterion	NOUN
ijassa-1017	88	25	of	of	ADP
ijassa-1017	88	26	nearness	nearness	NOUN
ijassa-1017	88	27	to	to	ADP
ijassa-1017	88	28	the	the	DET
ijassa-1017	88	29	feature	feature	NOUN
ijassa-1017	88	30	space	space	NOUN
ijassa-1017	88	31	.	.	PUNCT
ijassa-1017	89	1	at	at	ADP
ijassa-1017	89	2	the	the	DET
ijassa-1017	89	3	next	next	ADJ
ijassa-1017	89	4	step	step	NOUN
ijassa-1017	89	5	,	,	PUNCT
ijassa-1017	89	6	the	the	DET
ijassa-1017	89	7	set	set	NOUN
ijassa-1017	89	8	of	of	ADP
ijassa-1017	89	9	elements	element	NOUN
ijassa-1017	89	10	w	w	VERB
ijassa-1017	89	11	was	be	AUX
ijassa-1017	89	12	clustered	cluster	VERB
ijassa-1017	89	13	in	in	ADP
ijassa-1017	89	14	two	two	NUM
ijassa-1017	89	15	ways	way	NOUN
ijassa-1017	89	16	presented	present	VERB
ijassa-1017	89	17	below	below	ADV
ijassa-1017	89	18	.	.	PUNCT
ijassa-1017	90	1	first	first	ADV
ijassa-1017	90	2	.	.	PUNCT
ijassa-1017	91	1	the	the	DET
ijassa-1017	91	2	entire	entire	ADJ
ijassa-1017	91	3	set	set	NOUN
ijassa-1017	91	4	w	w	NOUN
ijassa-1017	91	5	is	be	AUX
ijassa-1017	91	6	divided	divide	VERB
ijassa-1017	91	7	into	into	ADP
ijassa-1017	91	8	two	two	NUM
ijassa-1017	91	9	clusters	cluster	NOUN
ijassa-1017	91	10	by	by	ADP
ijassa-1017	91	11	the	the	DET
ijassa-1017	91	12	feature	feature	NOUN
ijassa-1017	91	13	of	of	ADP
ijassa-1017	91	14	positive	positive	ADJ
ijassa-1017	91	15	and	and	CCONJ
ijassa-1017	91	16	negative	negative	ADJ
ijassa-1017	91	17	attitude	attitude	NOUN
ijassa-1017	91	18	towards	towards	ADP
ijassa-1017	91	19	the	the	DET
ijassa-1017	91	20	project	project	NOUN
ijassa-1017	91	21	.	.	PUNCT
ijassa-1017	92	1	the	the	DET
ijassa-1017	92	2	resulting	result	VERB
ijassa-1017	92	3	clusters	cluster	NOUN
ijassa-1017	92	4	with	with	ADP
ijassa-1017	92	5	numerical	numerical	ADJ
ijassa-1017	92	6	vectors	vector	NOUN
ijassa-1017	92	7	of	of	ADP
ijassa-1017	92	8	texts	text	NOUN
ijassa-1017	92	9	were	be	AUX
ijassa-1017	92	10	designated	designate	VERB
ijassa-1017	92	11	as	as	ADP
ijassa-1017	92	12	k1	k1	NOUN
ijassa-1017	92	13	(	(	PUNCT
ijassa-1017	92	14	‘	'	PUNCT
ijassa-1017	92	15	aggression	aggression	NOUN
ijassa-1017	92	16	present	present	ADJ
ijassa-1017	92	17	’	'	PUNCT
ijassa-1017	92	18	)	)	PUNCT
ijassa-1017	92	19	and	and	CCONJ
ijassa-1017	92	20	k2	k2	X
ijassa-1017	92	21	(	(	PUNCT
ijassa-1017	92	22	‘	'	PUNCT
ijassa-1017	92	23	no	no	DET
ijassa-1017	92	24	aggression	aggression	NOUN
ijassa-1017	92	25	’	'	PUNCT
ijassa-1017	92	26	)	)	PUNCT
ijassa-1017	92	27	.	.	PUNCT
ijassa-1017	93	1	“	"	PUNCT
ijassa-1017	93	2	aggression	aggression	NOUN
ijassa-1017	93	3	present	present	ADJ
ijassa-1017	93	4	”	"	PUNCT
ijassa-1017	93	5	means	mean	VERB
ijassa-1017	93	6	a	a	DET
ijassa-1017	93	7	negative	negative	ADJ
ijassa-1017	93	8	attitude	attitude	NOUN
ijassa-1017	93	9	towards	towards	ADP
ijassa-1017	93	10	project	project	NOUN
ijassa-1017	93	11	p.	p.	NOUN
ijassa-1017	94	1	“	"	PUNCT
ijassa-1017	94	2	no	no	DET
ijassa-1017	94	3	aggression	aggression	NOUN
ijassa-1017	94	4	”	"	PUNCT
ijassa-1017	94	5	means	mean	VERB
ijassa-1017	94	6	a	a	DET
ijassa-1017	94	7	positive	positive	ADJ
ijassa-1017	94	8	attitude	attitude	NOUN
ijassa-1017	94	9	towards	towards	ADP
ijassa-1017	94	10	project	project	NOUN
ijassa-1017	94	11	p.	p.	NOUN
ijassa-1017	94	12	development	development	NOUN
ijassa-1017	94	13	of	of	ADP
ijassa-1017	94	14	unified	unified	ADJ
ijassa-1017	94	15	approaches	approach	NOUN
ijassa-1017	94	16	to	to	ADP
ijassa-1017	94	17	building	build	VERB
ijassa-1017	94	18	neural	neural	ADJ
ijassa-1017	94	19	network	network	NOUN
ijassa-1017	94	20	119	119	NUM
ijassa-1017	94	21	copyright	copyright	NOUN
ijassa-1017	94	22	©	©	PROPN
ijassa-1017	94	23	2020	2020	NUM
ijassa-1017	94	24	assa	assa	NOUN
ijassa-1017	94	25	.	.	PUNCT
ijassa-1017	95	1	adv	adv	PROPN
ijassa-1017	95	2	.	.	PUNCT
ijassa-1017	96	1	in	in	ADP
ijassa-1017	96	2	systems	system	NOUN
ijassa-1017	96	3	science	science	NOUN
ijassa-1017	96	4	and	and	CCONJ
ijassa-1017	96	5	appl	appl	NOUN
ijassa-1017	96	6	.	.	PUNCT
ijassa-1017	97	1	(	(	PUNCT
ijassa-1017	97	2	2020	2020	NUM
ijassa-1017	97	3	)	)	PUNCT
ijassa-1017	97	4	second	second	ADJ
ijassa-1017	97	5	.	.	PUNCT
ijassa-1017	98	1	the	the	DET
ijassa-1017	98	2	entire	entire	ADJ
ijassa-1017	98	3	set	set	NOUN
ijassa-1017	98	4	w	w	NOUN
ijassa-1017	98	5	is	be	AUX
ijassa-1017	98	6	divided	divide	VERB
ijassa-1017	98	7	into	into	ADP
ijassa-1017	98	8	three	three	NUM
ijassa-1017	98	9	subclusters	subcluster	NOUN
ijassa-1017	98	10	according	accord	VERB
ijassa-1017	98	11	to	to	ADP
ijassa-1017	98	12	the	the	DET
ijassa-1017	98	13	degree	degree	NOUN
ijassa-1017	98	14	of	of	ADP
ijassa-1017	98	15	negative	negative	ADJ
ijassa-1017	98	16	or	or	CCONJ
ijassa-1017	98	17	positive	positive	ADJ
ijassa-1017	98	18	attitude	attitude	NOUN
ijassa-1017	98	19	to	to	AUX
ijassa-1017	98	20	project	project	NOUN
ijassa-1017	99	1	p.	p.	NOUN
ijassa-1017	100	1	we	we	PRON
ijassa-1017	100	2	called	call	VERB
ijassa-1017	100	3	this	this	DET
ijassa-1017	100	4	feature	feature	NOUN
ijassa-1017	100	5	tonality	tonality	NOUN
ijassa-1017	100	6	and	and	CCONJ
ijassa-1017	100	7	identified	identify	VERB
ijassa-1017	100	8	three	three	NUM
ijassa-1017	100	9	degrees	degree	NOUN
ijassa-1017	100	10	of	of	ADP
ijassa-1017	100	11	tonality	tonality	NOUN
ijassa-1017	100	12	.	.	PUNCT
ijassa-1017	101	1	the	the	DET
ijassa-1017	101	2	constructed	construct	VERB
ijassa-1017	101	3	subclusters	subcluster	NOUN
ijassa-1017	101	4	are	be	AUX
ijassa-1017	101	5	designated	designate	VERB
ijassa-1017	101	6	x1	x1	PROPN
ijassa-1017	101	7	(	(	PUNCT
ijassa-1017	101	8	“	"	PUNCT
ijassa-1017	101	9	negative	negative	ADJ
ijassa-1017	101	10	”	"	PUNCT
ijassa-1017	101	11	)	)	PUNCT
ijassa-1017	101	12	,	,	PUNCT
ijassa-1017	101	13	x2	x2	PROPN
ijassa-1017	101	14	(	(	PUNCT
ijassa-1017	101	15	“	"	PUNCT
ijassa-1017	101	16	neutral	neutral	ADJ
ijassa-1017	101	17	”	"	PUNCT
ijassa-1017	101	18	)	)	PUNCT
ijassa-1017	101	19	,	,	PUNCT
ijassa-1017	101	20	x3	x3	INTJ
ijassa-1017	101	21	(	(	PUNCT
ijassa-1017	101	22	“	"	PUNCT
ijassa-1017	101	23	positive	positive	ADJ
ijassa-1017	101	24	”	"	PUNCT
ijassa-1017	101	25	)	)	PUNCT
ijassa-1017	101	26	.	.	PUNCT
ijassa-1017	102	1	2.4	2.4	NUM
ijassa-1017	102	2	.	.	PUNCT
ijassa-1017	103	1	data	datum	NOUN
ijassa-1017	103	2	pre	pre	VERB
ijassa-1017	103	3	-	-	VERB
ijassa-1017	103	4	processing	process	VERB
ijassa-1017	103	5	the	the	DET
ijassa-1017	103	6	entire	entire	ADJ
ijassa-1017	103	7	time	time	NOUN
ijassa-1017	103	8	interval	interval	NOUN
ijassa-1017	103	9	[	[	X
ijassa-1017	103	10	0	0	NUM
ijassa-1017	103	11	;	;	PUNCT
ijassa-1017	103	12	t	t	PROPN
ijassa-1017	103	13	]	]	PUNCT
ijassa-1017	103	14	is	be	AUX
ijassa-1017	103	15	divided	divide	VERB
ijassa-1017	103	16	into	into	ADP
ijassa-1017	103	17	n	n	PROPN
ijassa-1017	103	18	intervals	interval	NOUN
ijassa-1017	103	19	with	with	ADP
ijassa-1017	103	20	the	the	DET
ijassa-1017	103	21	same	same	ADJ
ijassa-1017	103	22	increment	increment	NOUN
ijassa-1017	103	23	.	.	PUNCT
ijassa-1017	104	1	the	the	DET
ijassa-1017	104	2	following	follow	VERB
ijassa-1017	104	3	designations	designation	NOUN
ijassa-1017	104	4	are	be	AUX
ijassa-1017	104	5	introduced	introduce	VERB
ijassa-1017	104	6	:	:	PUNCT
ijassa-1017	104	7	t	t	PROPN
ijassa-1017	104	8	is	be	AUX
ijassa-1017	104	9	the	the	DET
ijassa-1017	104	10	number	number	NOUN
ijassa-1017	104	11	of	of	ADP
ijassa-1017	104	12	the	the	DET
ijassa-1017	104	13	interval	interval	NOUN
ijassa-1017	104	14	,	,	PUNCT
ijassa-1017	104	15	t=1,2,	t=1,2,	NOUN
ijassa-1017	104	16	…	…	SYM
ijassa-1017	104	17	,n	,n	NOUN
ijassa-1017	104	18	.	.	PUNCT
ijassa-1017	105	1	the	the	DET
ijassa-1017	105	2	following	follow	VERB
ijassa-1017	105	3	terms	term	NOUN
ijassa-1017	105	4	are	be	AUX
ijassa-1017	105	5	introduced	introduce	VERB
ijassa-1017	105	6	:	:	PUNCT
ijassa-1017	105	7	k1	k1	X
ijassa-1017	105	8	(	(	PUNCT
ijassa-1017	105	9	t	t	PROPN
ijassa-1017	105	10	)	)	PUNCT
ijassa-1017	105	11	is	be	AUX
ijassa-1017	105	12	the	the	DET
ijassa-1017	105	13	number	number	NOUN
ijassa-1017	105	14	of	of	ADP
ijassa-1017	105	15	elements	element	NOUN
ijassa-1017	105	16	in	in	ADP
ijassa-1017	105	17	cluster	cluster	NOUN
ijassa-1017	105	18	k1	k1	NOUN
ijassa-1017	105	19	at	at	ADP
ijassa-1017	105	20	time	time	NOUN
ijassa-1017	105	21	t	t	PROPN
ijassa-1017	105	22	,	,	PUNCT
ijassa-1017	105	23	k2	k2	PROPN
ijassa-1017	105	24	(	(	PUNCT
ijassa-1017	105	25	t	t	PROPN
ijassa-1017	105	26	)	)	PUNCT
ijassa-1017	105	27	is	be	AUX
ijassa-1017	105	28	the	the	DET
ijassa-1017	105	29	number	number	NOUN
ijassa-1017	105	30	of	of	ADP
ijassa-1017	105	31	elements	element	NOUN
ijassa-1017	105	32	in	in	ADP
ijassa-1017	105	33	cluster	cluster	NOUN
ijassa-1017	105	34	k2	k2	NOUN
ijassa-1017	105	35	at	at	ADP
ijassa-1017	105	36	time	time	NOUN
ijassa-1017	105	37	t	t	PROPN
ijassa-1017	105	38	,	,	PUNCT
ijassa-1017	105	39	x1	x1	PROPN
ijassa-1017	105	40	(	(	PUNCT
ijassa-1017	105	41	t	t	NOUN
ijassa-1017	105	42	)	)	PUNCT
ijassa-1017	105	43	is	be	AUX
ijassa-1017	105	44	the	the	DET
ijassa-1017	105	45	number	number	NOUN
ijassa-1017	105	46	of	of	ADP
ijassa-1017	105	47	elements	element	NOUN
ijassa-1017	105	48	in	in	ADP
ijassa-1017	105	49	cluster	cluster	NOUN
ijassa-1017	105	50	x1	x1	NUM
ijassa-1017	105	51	at	at	ADP
ijassa-1017	105	52	time	time	NOUN
ijassa-1017	105	53	t	t	PROPN
ijassa-1017	105	54	,	,	PUNCT
ijassa-1017	105	55	x2	x2	PROPN
ijassa-1017	105	56	(	(	PUNCT
ijassa-1017	105	57	t	t	PROPN
ijassa-1017	105	58	)	)	PUNCT
ijassa-1017	105	59	is	be	AUX
ijassa-1017	105	60	the	the	DET
ijassa-1017	105	61	number	number	NOUN
ijassa-1017	105	62	of	of	ADP
ijassa-1017	105	63	elements	element	NOUN
ijassa-1017	105	64	in	in	ADP
ijassa-1017	105	65	cluster	cluster	NOUN
ijassa-1017	105	66	x2	x2	PROPN
ijassa-1017	105	67	at	at	ADP
ijassa-1017	105	68	time	time	NOUN
ijassa-1017	105	69	t	t	PROPN
ijassa-1017	105	70	,	,	PUNCT
ijassa-1017	105	71	x3	x3	PROPN
ijassa-1017	105	72	(	(	PUNCT
ijassa-1017	105	73	t	t	NOUN
ijassa-1017	105	74	)	)	PUNCT
ijassa-1017	105	75	is	be	AUX
ijassa-1017	105	76	the	the	DET
ijassa-1017	105	77	number	number	NOUN
ijassa-1017	105	78	of	of	ADP
ijassa-1017	105	79	elements	element	NOUN
ijassa-1017	105	80	in	in	ADP
ijassa-1017	105	81	cluster	cluster	NOUN
ijassa-1017	105	82	x3	x3	ADJ
ijassa-1017	105	83	at	at	ADP
ijassa-1017	105	84	time	time	NOUN
ijassa-1017	105	85	t.	t.	PROPN
ijassa-1017	105	86	in	in	ADP
ijassa-1017	105	87	the	the	DET
ijassa-1017	105	88	models	model	NOUN
ijassa-1017	105	89	under	under	ADP
ijassa-1017	105	90	consideration	consideration	NOUN
ijassa-1017	105	91	,	,	PUNCT
ijassa-1017	105	92	it	it	PRON
ijassa-1017	105	93	is	be	AUX
ijassa-1017	105	94	assumed	assume	VERB
ijassa-1017	105	95	that	that	SCONJ
ijassa-1017	105	96	an	an	DET
ijassa-1017	105	97	unaccounted	unaccounted	ADJ
ijassa-1017	105	98	individual	individual	NOUN
ijassa-1017	105	99	can	can	AUX
ijassa-1017	105	100	join	join	VERB
ijassa-1017	105	101	one	one	NUM
ijassa-1017	105	102	of	of	ADP
ijassa-1017	105	103	the	the	DET
ijassa-1017	105	104	groups	group	NOUN
ijassa-1017	105	105	or	or	CCONJ
ijassa-1017	105	106	move	move	VERB
ijassa-1017	105	107	from	from	ADP
ijassa-1017	105	108	one	one	NUM
ijassa-1017	105	109	group	group	NOUN
ijassa-1017	105	110	to	to	ADP
ijassa-1017	105	111	another	another	PRON
ijassa-1017	105	112	through	through	ADP
ijassa-1017	105	113	information	information	NOUN
ijassa-1017	105	114	received	receive	VERB
ijassa-1017	105	115	either	either	CCONJ
ijassa-1017	105	116	from	from	ADP
ijassa-1017	105	117	the	the	DET
ijassa-1017	105	118	media	medium	NOUN
ijassa-1017	105	119	or	or	CCONJ
ijassa-1017	105	120	through	through	ADP
ijassa-1017	105	121	interpersonal	interpersonal	ADJ
ijassa-1017	105	122	communication	communication	NOUN
ijassa-1017	105	123	from	from	ADP
ijassa-1017	105	124	a	a	DET
ijassa-1017	105	125	previously	previously	ADV
ijassa-1017	105	126	informed	inform	VERB
ijassa-1017	105	127	individual	individual	NOUN
ijassa-1017	105	128	.	.	PUNCT
ijassa-1017	106	1	to	to	PART
ijassa-1017	106	2	build	build	VERB
ijassa-1017	106	3	models	model	NOUN
ijassa-1017	106	4	,	,	PUNCT
ijassa-1017	106	5	the	the	DET
ijassa-1017	106	6	data	datum	NOUN
ijassa-1017	106	7	of	of	ADP
ijassa-1017	106	8	all	all	DET
ijassa-1017	106	9	groups	group	NOUN
ijassa-1017	106	10	are	be	AUX
ijassa-1017	106	11	standardized	standardize	VERB
ijassa-1017	106	12	according	accord	VERB
ijassa-1017	106	13	to	to	ADP
ijassa-1017	106	14	formula	formula	NOUN
ijassa-1017	106	15	,	,	PUNCT
ijassa-1017	106	16	where	where	SCONJ
ijassa-1017	106	17	is	be	AUX
ijassa-1017	106	18	the	the	DET
ijassa-1017	106	19	estimation	estimation	NOUN
ijassa-1017	106	20	of	of	ADP
ijassa-1017	106	21	expectation	expectation	NOUN
ijassa-1017	106	22	,	,	PUNCT
ijassa-1017	106	23	is	be	AUX
ijassa-1017	106	24	the	the	DET
ijassa-1017	106	25	estimation	estimation	NOUN
ijassa-1017	106	26	of	of	ADP
ijassa-1017	106	27	the	the	DET
ijassa-1017	106	28	mean	mean	ADJ
ijassa-1017	106	29	square	square	ADJ
ijassa-1017	106	30	deviation	deviation	NOUN
ijassa-1017	106	31	,	,	PUNCT
ijassa-1017	106	32	and	and	CCONJ
ijassa-1017	106	33	is	be	AUX
ijassa-1017	106	34	the	the	DET
ijassa-1017	106	35	standardized	standardized	ADJ
ijassa-1017	106	36	value	value	NOUN
ijassa-1017	106	37	of	of	ADP
ijassa-1017	106	38	х	х	PROPN
ijassa-1017	106	39	.	.	PUNCT
ijassa-1017	107	1	fragments	fragment	NOUN
ijassa-1017	107	2	of	of	ADP
ijassa-1017	107	3	standardized	standardized	ADJ
ijassa-1017	107	4	data	datum	NOUN
ijassa-1017	107	5	{	{	PUNCT
ijassa-1017	107	6	x1(t	x1(t	PROPN
ijassa-1017	107	7	)	)	PUNCT
ijassa-1017	107	8	}	}	PUNCT
ijassa-1017	107	9	,	,	PUNCT
ijassa-1017	107	10	{	{	PUNCT
ijassa-1017	107	11	x2(t	x2(t	PROPN
ijassa-1017	107	12	)	)	PUNCT
ijassa-1017	107	13	}	}	PUNCT
ijassa-1017	107	14	,	,	PUNCT
ijassa-1017	107	15	{	{	PUNCT
ijassa-1017	107	16	x3(t	x3(t	X
ijassa-1017	107	17	)	)	PUNCT
ijassa-1017	107	18	}	}	PUNCT
ijassa-1017	107	19	,	,	PUNCT
ijassa-1017	107	20	t=	t=	PRON
ijassa-1017	107	21	are	be	AUX
ijassa-1017	107	22	presented	present	VERB
ijassa-1017	107	23	in	in	ADP
ijassa-1017	107	24	table	table	NOUN
ijassa-1017	107	25	2.1	2.1	NUM
ijassa-1017	107	26	and	and	CCONJ
ijassa-1017	107	27	in	in	ADP
ijassa-1017	107	28	the	the	DET
ijassa-1017	107	29	graphs	graph	NOUN
ijassa-1017	107	30	in	in	ADP
ijassa-1017	107	31	fig	fig	NOUN
ijassa-1017	107	32	.	.	PUNCT
ijassa-1017	108	1	2.10	2.10	NUM
ijassa-1017	108	2	.	.	PUNCT
ijassa-1017	109	1	and	and	CCONJ
ijassa-1017	109	2	fig	fig	NOUN
ijassa-1017	109	3	.	.	PUNCT
ijassa-1017	110	1	2.11	2.11	NUM
ijassa-1017	110	2	.	.	PUNCT
ijassa-1017	110	3	table	table	NOUN
ijassa-1017	110	4	2.1	2.1	NUM
ijassa-1017	110	5	.	.	PUNCT
ijassa-1017	111	1	fragment	fragment	NOUN
ijassa-1017	111	2	of	of	ADP
ijassa-1017	111	3	initial	initial	ADJ
ijassa-1017	111	4	data	datum	NOUN
ijassa-1017	111	5	t	t	NOUN
ijassa-1017	112	1	x1	x1	NOUN
ijassa-1017	113	1	x2	x2	NOUN
ijassa-1017	113	2	x3	x3	ADJ
ijassa-1017	113	3	1	1	NUM
ijassa-1017	114	1	-1.28	-1.28	NUM
ijassa-1017	114	2	-1.66	-1.66	NUM
ijassa-1017	114	3	-1.13	-1.13	NUM
ijassa-1017	114	4	2	2	NUM
ijassa-1017	114	5	-0.93	-0.93	NOUN
ijassa-1017	114	6	-0.57	-0.57	NOUN
ijassa-1017	114	7	-0.72	-0.72	NOUN
ijassa-1017	114	8	3	3	NUM
ijassa-1017	114	9	-0.34	-0.34	NOUN
ijassa-1017	114	10	-0,91	-0,91	SYM
ijassa-1017	114	11	-0.59	-0.59	NUM
ijassa-1017	114	12	4	4	NUM
ijassa-1017	114	13	0.23	0.23	NUM
ijassa-1017	114	14	1.51	1.51	NUM
ijassa-1017	114	15	0.28	0.28	NUM
ijassa-1017	114	16	5	5	NUM
ijassa-1017	114	17	0.09	0.09	NUM
ijassa-1017	114	18	0.24	0.24	NUM
ijassa-1017	114	19	0.03	0.03	NUM
ijassa-1017	114	20	6	6	NUM
ijassa-1017	114	21	-0.65	-0.65	NUM
ijassa-1017	114	22	0.01	0.01	NUM
ijassa-1017	114	23	-0.96	-0.96	NUM
ijassa-1017	114	24	7	7	NUM
ijassa-1017	114	25	-0.59	-0.59	NUM
ijassa-1017	114	26	-0.22	-0.22	NUM
ijassa-1017	114	27	-0.68	-0.68	NOUN
ijassa-1017	114	28	8	8	NUM
ijassa-1017	114	29	-0.37	-0.37	NUM
ijassa-1017	114	30	-0.68	-0.68	NOUN
ijassa-1017	114	31	-0.46	-0.46	NUM
ijassa-1017	114	32	9	9	NUM
ijassa-1017	114	33	-0.45	-0.45	NUM
ijassa-1017	114	34	-0.28	-0.28	NUM
ijassa-1017	114	35	-0.85	-0.85	NUM
ijassa-1017	114	36	10	10	NUM
ijassa-1017	114	37	-0.56	-0.56	NUM
ijassa-1017	114	38	0.35	0.35	NUM
ijassa-1017	114	39	-0.43	-0.43	NUM
ijassa-1017	114	40	11	11	NUM
ijassa-1017	114	41	-0.40	-0.40	NOUN
ijassa-1017	114	42	-0.80	-0.80	NOUN
ijassa-1017	114	43	-0.30	-0.30	VERB
ijassa-1017	114	44	12	12	NUM
ijassa-1017	114	45	0.22	0.22	NUM
ijassa-1017	114	46	0.76	0.76	NUM
ijassa-1017	114	47	-0.11	-0.11	NUM
ijassa-1017	114	48	13	13	NUM
ijassa-1017	114	49	-0.64	-0.64	NUM
ijassa-1017	114	50	-0.80	-0.80	NOUN
ijassa-1017	114	51	-0.71	-0.71	PROPN
ijassa-1017	114	52	120	120	NUM
ijassa-1017	114	53	n.	n.	PROPN
ijassa-1017	114	54	gabdrakhmanova	gabdrakhmanova	PROPN
ijassa-1017	114	55	,	,	PUNCT
ijassa-1017	114	56	m.	m.	NOUN
ijassa-1017	114	57	pilgun	pilgun	PROPN
ijassa-1017	114	58	copyright	copyright	NOUN
ijassa-1017	115	1	©	©	PROPN
ijassa-1017	115	2	2020	2020	NUM
ijassa-1017	115	3	assa	assa	NOUN
ijassa-1017	115	4	.	.	PUNCT
ijassa-1017	116	1	adv	adv	PROPN
ijassa-1017	116	2	.	.	PUNCT
ijassa-1017	117	1	in	in	ADP
ijassa-1017	117	2	systems	system	NOUN
ijassa-1017	117	3	science	science	NOUN
ijassa-1017	117	4	and	and	CCONJ
ijassa-1017	117	5	appl	appl	NOUN
ijassa-1017	117	6	.	.	PUNCT
ijassa-1017	118	1	(	(	PUNCT
ijassa-1017	118	2	2020	2020	NUM
ijassa-1017	118	3	)	)	PUNCT
ijassa-1017	119	1	x3	x3	INTJ
ijassa-1017	119	2	x2	x2	PROPN
ijassa-1017	120	1	x11	x11	NOUN
ijassa-1017	120	2	3	3	NUM
ijassa-1017	120	3	5	5	NUM
ijassa-1017	120	4	7	7	NUM
ijassa-1017	120	5	9	9	NUM
ijassa-1017	120	6	11	11	NUM
ijassa-1017	120	7	13	13	NUM
ijassa-1017	120	8	15	15	NUM
ijassa-1017	120	9	17	17	NUM
ijassa-1017	120	10	19	19	NUM
ijassa-1017	120	11	21	21	NUM
ijassa-1017	120	12	23	23	NUM
ijassa-1017	120	13	25	25	NUM
ijassa-1017	120	14	-4	-4	INTJ
ijassa-1017	120	15	-2	-2	NOUN
ijassa-1017	120	16	0	0	NUM
ijassa-1017	120	17	2	2	NUM
ijassa-1017	120	18	4	4	NUM
ijassa-1017	120	19	6	6	NUM
ijassa-1017	120	20	8	8	NUM
ijassa-1017	120	21	10	10	NUM
ijassa-1017	120	22	fig	fig	NOUN
ijassa-1017	120	23	.	.	PUNCT
ijassa-1017	121	1	2.10	2.10	NUM
ijassa-1017	121	2	.	.	PUNCT
ijassa-1017	122	1	fragment	fragment	NOUN
ijassa-1017	122	2	of	of	ADP
ijassa-1017	122	3	time	time	NOUN
ijassa-1017	122	4	series	series	PROPN
ijassa-1017	122	5	{	{	PUNCT
ijassa-1017	122	6	x1	x1	PROPN
ijassa-1017	122	7	(	(	PUNCT
ijassa-1017	122	8	t),x2(t),x3(t	t),x2(t),x3(t	PROPN
ijassa-1017	122	9	)	)	PUNCT
ijassa-1017	122	10	}	}	PUNCT
ijassa-1017	122	11	for	for	ADP
ijassa-1017	122	12	the	the	DET
ijassa-1017	122	13	sec	sec	PROPN
ijassa-1017	122	14	data	datum	NOUN
ijassa-1017	122	15	xc3	xc3	PROPN
ijassa-1017	122	16	xc2	xc2	PROPN
ijassa-1017	123	1	xc11	xc11	PROPN
ijassa-1017	123	2	3	3	NUM
ijassa-1017	123	3	5	5	NUM
ijassa-1017	123	4	7	7	NUM
ijassa-1017	123	5	9	9	NUM
ijassa-1017	123	6	11	11	NUM
ijassa-1017	123	7	13	13	NUM
ijassa-1017	123	8	15	15	NUM
ijassa-1017	123	9	17	17	NUM
ijassa-1017	123	10	19	19	NUM
ijassa-1017	123	11	21	21	NUM
ijassa-1017	123	12	23	23	NUM
ijassa-1017	123	13	25	25	NUM
ijassa-1017	123	14	27	27	NUM
ijassa-1017	123	15	29	29	NUM
ijassa-1017	123	16	31	31	NUM
ijassa-1017	123	17	-3	-3	INTJ
ijassa-1017	123	18	-2	-2	INTJ
ijassa-1017	124	1	-1	-1	SYM
ijassa-1017	124	2	0	0	NUM
ijassa-1017	125	1	1	1	NUM
ijassa-1017	125	2	2	2	NUM
ijassa-1017	125	3	3	3	NUM
ijassa-1017	125	4	4	4	NUM
ijassa-1017	125	5	5	5	NUM
ijassa-1017	125	6	fig	fig	NOUN
ijassa-1017	125	7	.	.	PUNCT
ijassa-1017	126	1	2.11	2.11	NUM
ijassa-1017	126	2	.	.	X
ijassa-1017	127	1	fragment	fragment	NOUN
ijassa-1017	127	2	of	of	ADP
ijassa-1017	127	3	time	time	NOUN
ijassa-1017	127	4	series	series	PROPN
ijassa-1017	127	5	{	{	PUNCT
ijassa-1017	127	6	x1	x1	PROPN
ijassa-1017	127	7	(	(	PUNCT
ijassa-1017	127	8	t),x2(t),x3(t	t),x2(t),x3(t	PROPN
ijassa-1017	127	9	)	)	PUNCT
ijassa-1017	127	10	}	}	PUNCT
ijassa-1017	127	11	for	for	ADP
ijassa-1017	127	12	the	the	DET
ijassa-1017	127	13	nwc	nwc	PROPN
ijassa-1017	127	14	data	data	PROPN
ijassa-1017	127	15	2.5	2.5	NUM
ijassa-1017	127	16	.	.	PUNCT
ijassa-1017	128	1	model	model	PROPN
ijassa-1017	128	2	1	1	NUM
ijassa-1017	128	3	.	.	NUM
ijassa-1017	128	4	autoregressive	autoregressive	ADJ
ijassa-1017	128	5	time	time	NOUN
ijassa-1017	128	6	series	series	PROPN
ijassa-1017	128	7	models	model	NOUN
ijassa-1017	128	8	data	datum	NOUN
ijassa-1017	128	9	{	{	PUNCT
ijassa-1017	128	10	x1(t	x1(t	PROPN
ijassa-1017	128	11	)	)	PUNCT
ijassa-1017	128	12	}	}	PUNCT
ijassa-1017	128	13	,	,	PUNCT
ijassa-1017	128	14	{	{	PUNCT
ijassa-1017	128	15	x2(t	x2(t	PROPN
ijassa-1017	128	16	)	)	PUNCT
ijassa-1017	128	17	}	}	PUNCT
ijassa-1017	128	18	,	,	PUNCT
ijassa-1017	128	19	{	{	PUNCT
ijassa-1017	128	20	x3(t	x3(t	X
ijassa-1017	128	21	)	)	PUNCT
ijassa-1017	128	22	}	}	PUNCT
ijassa-1017	129	1	,	,	PUNCT
ijassa-1017	129	2	t=	t=	PRON
ijassa-1017	129	3	are	be	AUX
ijassa-1017	129	4	time	time	NOUN
ijassa-1017	129	5	series	series	PROPN
ijassa-1017	129	6	.	.	PUNCT
ijassa-1017	130	1	time	time	PROPN
ijassa-1017	130	2	series	series	PROPN
ijassa-1017	130	3	models	model	NOUN
ijassa-1017	130	4	can	can	AUX
ijassa-1017	130	5	be	be	AUX
ijassa-1017	130	6	built	build	VERB
ijassa-1017	130	7	using	use	VERB
ijassa-1017	130	8	neural	neural	ADJ
ijassa-1017	130	9	networks	network	NOUN
ijassa-1017	130	10	[	[	X
ijassa-1017	130	11	3,4	3,4	NUM
ijassa-1017	130	12	]	]	PUNCT
ijassa-1017	130	13	and	and	CCONJ
ijassa-1017	130	14	methods	method	NOUN
ijassa-1017	130	15	of	of	ADP
ijassa-1017	130	16	mathematical	mathematical	ADJ
ijassa-1017	130	17	statistics	statistic	NOUN
ijassa-1017	130	18	.	.	PUNCT
ijassa-1017	131	1	for	for	ADP
ijassa-1017	131	2	our	our	PRON
ijassa-1017	131	3	time	time	NOUN
ijassa-1017	131	4	series	series	NOUN
ijassa-1017	131	5	,	,	PUNCT
ijassa-1017	131	6	we	we	PRON
ijassa-1017	131	7	built	build	VERB
ijassa-1017	131	8	autoregressive	autoregressive	ADJ
ijassa-1017	131	9	models	model	NOUN
ijassa-1017	131	10	.	.	PUNCT
ijassa-1017	132	1	autoregressive	autoregressive	ADJ
ijassa-1017	132	2	models	model	NOUN
ijassa-1017	132	3	can	can	AUX
ijassa-1017	132	4	be	be	AUX
ijassa-1017	132	5	used	use	VERB
ijassa-1017	132	6	to	to	PART
ijassa-1017	132	7	predict	predict	VERB
ijassa-1017	132	8	the	the	DET
ijassa-1017	132	9	dynamics	dynamic	NOUN
ijassa-1017	132	10	of	of	ADP
ijassa-1017	132	11	series	series	PROPN
ijassa-1017	132	12	a	a	DET
ijassa-1017	132	13	few	few	ADJ
ijassa-1017	132	14	steps	step	NOUN
ijassa-1017	132	15	ahead	ahead	ADV
ijassa-1017	132	16	.	.	PUNCT
ijassa-1017	133	1	coefficients	coefficient	NOUN
ijassa-1017	133	2	in	in	ADP
ijassa-1017	133	3	time	time	NOUN
ijassa-1017	133	4	series	series	NOUN
ijassa-1017	133	5	models	model	NOUN
ijassa-1017	133	6	indicate	indicate	VERB
ijassa-1017	133	7	the	the	DET
ijassa-1017	133	8	direction	direction	NOUN
ijassa-1017	133	9	in	in	ADP
ijassa-1017	133	10	the	the	DET
ijassa-1017	133	11	behavior	behavior	NOUN
ijassa-1017	133	12	dynamics	dynamic	NOUN
ijassa-1017	133	13	.	.	PUNCT
ijassa-1017	134	1	studies	study	NOUN
ijassa-1017	134	2	of	of	ADP
ijassa-1017	134	3	the	the	DET
ijassa-1017	134	4	behavior	behavior	NOUN
ijassa-1017	134	5	of	of	ADP
ijassa-1017	134	6	time	time	NOUN
ijassa-1017	134	7	series	series	PROPN
ijassa-1017	134	8	have	have	AUX
ijassa-1017	134	9	shown	show	VERB
ijassa-1017	134	10	that	that	SCONJ
ijassa-1017	134	11	the	the	DET
ijassa-1017	134	12	values	value	NOUN
ijassa-1017	134	13	of	of	ADP
ijassa-1017	134	14	the	the	DET
ijassa-1017	134	15	series	series	NOUN
ijassa-1017	134	16	are	be	AUX
ijassa-1017	134	17	affected	affect	VERB
ijassa-1017	134	18	by	by	ADP
ijassa-1017	134	19	such	such	ADJ
ijassa-1017	134	20	factors	factor	NOUN
ijassa-1017	134	21	as	as	ADP
ijassa-1017	134	22	holidays	holiday	NOUN
ijassa-1017	134	23	,	,	PUNCT
ijassa-1017	134	24	weekends	weekend	NOUN
ijassa-1017	134	25	or	or	CCONJ
ijassa-1017	134	26	weekdays	weekday	NOUN
ijassa-1017	134	27	,	,	PUNCT
ijassa-1017	134	28	time	time	NOUN
ijassa-1017	134	29	of	of	ADP
ijassa-1017	134	30	day	day	NOUN
ijassa-1017	134	31	,	,	PUNCT
ijassa-1017	134	32	etc	etc	X
ijassa-1017	134	33	.	.	X
ijassa-1017	134	34	to	to	PART
ijassa-1017	134	35	smooth	smooth	VERB
ijassa-1017	134	36	over	over	ADP
ijassa-1017	134	37	these	these	DET
ijassa-1017	134	38	factors	factor	NOUN
ijassa-1017	134	39	,	,	PUNCT
ijassa-1017	134	40	the	the	DET
ijassa-1017	134	41	following	follow	VERB
ijassa-1017	134	42	transformation	transformation	NOUN
ijassa-1017	134	43	was	be	AUX
ijassa-1017	134	44	used	use	VERB
ijassa-1017	134	45	(	(	PUNCT
ijassa-1017	134	46	see	see	VERB
ijassa-1017	134	47	fig	fig	NOUN
ijassa-1017	134	48	.	.	PUNCT
ijassa-1017	135	1	2.12	2.12	NUM
ijassa-1017	135	2	.	.	NUM
ijassa-1017	135	3	):	):	PUNCT
ijassa-1017	135	4	according	accord	VERB
ijassa-1017	135	5	to	to	ADP
ijassa-1017	135	6	the	the	DET
ijassa-1017	135	7	following	follow	VERB
ijassa-1017	135	8	rule	rule	NOUN
ijassa-1017	135	9	:	:	PUNCT
ijassa-1017	135	10	,	,	PUNCT
ijassa-1017	135	11	,	,	PUNCT
ijassa-1017	135	12	.	.	PUNCT
ijassa-1017	136	1	x1	x1	NUM
ijassa-1017	137	1	x2	x2	NOUN
ijassa-1017	137	2	x31	x31	NUM
ijassa-1017	137	3	3	3	NUM
ijassa-1017	137	4	5	5	NUM
ijassa-1017	137	5	7	7	NUM
ijassa-1017	137	6	9	9	NUM
ijassa-1017	137	7	11	11	NUM
ijassa-1017	137	8	13	13	NUM
ijassa-1017	137	9	15	15	NUM
ijassa-1017	137	10	17	17	NUM
ijassa-1017	137	11	19	19	NUM
ijassa-1017	137	12	21	21	NUM
ijassa-1017	137	13	23	23	NUM
ijassa-1017	137	14	25	25	NUM
ijassa-1017	137	15	27	27	NUM
ijassa-1017	137	16	-0,2	-0,2	NUM
ijassa-1017	137	17	0,0	0,0	NUM
ijassa-1017	137	18	0,2	0,2	NUM
ijassa-1017	137	19	0,4	0,4	NUM
ijassa-1017	137	20	0,6	0,6	NUM
ijassa-1017	137	21	0,8	0,8	NUM
ijassa-1017	137	22	1,0	1,0	NUM
ijassa-1017	137	23	1,2	1,2	NUM
ijassa-1017	137	24	fig	fig	NOUN
ijassa-1017	137	25	.	.	PUNCT
ijassa-1017	138	1	2.12	2.12	NUM
ijassa-1017	138	2	.	.	X
ijassa-1017	138	3	fragment	fragment	NOUN
ijassa-1017	138	4	of	of	ADP
ijassa-1017	138	5	transformed	transform	VERB
ijassa-1017	138	6	time	time	NOUN
ijassa-1017	138	7	series	series	PROPN
ijassa-1017	138	8	{	{	PUNCT
ijassa-1017	138	9	x1	x1	PROPN
ijassa-1017	138	10	(	(	PUNCT
ijassa-1017	138	11	t),x2(t),x3(t	t),x2(t),x3(t	PROPN
ijassa-1017	138	12	)	)	PUNCT
ijassa-1017	138	13	}	}	PUNCT
ijassa-1017	138	14	for	for	ADP
ijassa-1017	138	15	the	the	DET
ijassa-1017	138	16	sec	sec	PROPN
ijassa-1017	138	17	data	data	NOUN
ijassa-1017	138	18	.	.	PUNCT
ijassa-1017	139	1	the	the	DET
ijassa-1017	139	2	time	time	NOUN
ijassa-1017	139	3	series	series	NOUN
ijassa-1017	139	4	of	of	ADP
ijassa-1017	139	5	the	the	DET
ijassa-1017	139	6	nwc	nwc	PROPN
ijassa-1017	139	7	and	and	CCONJ
ijassa-1017	139	8	sec	sec	PROPN
ijassa-1017	139	9	data	datum	NOUN
ijassa-1017	139	10	were	be	AUX
ijassa-1017	139	11	studied	study	VERB
ijassa-1017	139	12	for	for	ADP
ijassa-1017	139	13	stationarity	stationarity	NOUN
ijassa-1017	139	14	;	;	PUNCT
ijassa-1017	139	15	the	the	DET
ijassa-1017	139	16	coefficients	coefficient	NOUN
ijassa-1017	139	17	of	of	ADP
ijassa-1017	139	18	autocorrelation	autocorrelation	NOUN
ijassa-1017	139	19	and	and	CCONJ
ijassa-1017	139	20	partial	partial	ADJ
ijassa-1017	139	21	autocorrelation	autocorrelation	NOUN
ijassa-1017	139	22	were	be	AUX
ijassa-1017	139	23	found	find	VERB
ijassa-1017	139	24	;	;	PUNCT
ijassa-1017	139	25	and	and	CCONJ
ijassa-1017	139	26	estimates	estimate	NOUN
ijassa-1017	139	27	of	of	ADP
ijassa-1017	139	28	the	the	DET
ijassa-1017	139	29	structural	structural	ADJ
ijassa-1017	139	30	orders	order	NOUN
ijassa-1017	139	31	were	be	AUX
ijassa-1017	139	32	obtained	obtain	VERB
ijassa-1017	139	33	.	.	PUNCT
ijassa-1017	140	1	autoregressive	autoregressive	ADJ
ijassa-1017	140	2	models	model	NOUN
ijassa-1017	140	3	were	be	AUX
ijassa-1017	140	4	built	build	VERB
ijassa-1017	140	5	for	for	ADP
ijassa-1017	140	6	each	each	DET
ijassa-1017	140	7	time	time	NOUN
ijassa-1017	140	8	series	series	PROPN
ijassa-1017	140	9	using	use	VERB
ijassa-1017	140	10	the	the	DET
ijassa-1017	140	11	statistica	statistica	PROPN
ijassa-1017	140	12	10	10	NUM
ijassa-1017	140	13	software	software	NOUN
ijassa-1017	140	14	.	.	PUNCT
ijassa-1017	141	1	development	development	NOUN
ijassa-1017	141	2	of	of	ADP
ijassa-1017	141	3	unified	unified	ADJ
ijassa-1017	141	4	approaches	approach	NOUN
ijassa-1017	141	5	to	to	ADP
ijassa-1017	141	6	building	build	VERB
ijassa-1017	141	7	neural	neural	ADJ
ijassa-1017	141	8	network	network	NOUN
ijassa-1017	141	9	121	121	NUM
ijassa-1017	141	10	copyright	copyright	NOUN
ijassa-1017	141	11	©	©	PROPN
ijassa-1017	141	12	2020	2020	NUM
ijassa-1017	141	13	assa	assa	NOUN
ijassa-1017	141	14	.	.	PUNCT
ijassa-1017	142	1	adv	adv	PROPN
ijassa-1017	142	2	.	.	PUNCT
ijassa-1017	143	1	in	in	ADP
ijassa-1017	143	2	systems	system	NOUN
ijassa-1017	143	3	science	science	NOUN
ijassa-1017	143	4	and	and	CCONJ
ijassa-1017	143	5	appl	appl	NOUN
ijassa-1017	143	6	.	.	PUNCT
ijassa-1017	144	1	(	(	PUNCT
ijassa-1017	144	2	2020	2020	NUM
ijassa-1017	144	3	)	)	PUNCT
ijassa-1017	144	4	model	model	NOUN
ijassa-1017	144	5	1	1	NUM
ijassa-1017	144	6	results	result	NOUN
ijassa-1017	144	7	based	base	VERB
ijassa-1017	144	8	on	on	ADP
ijassa-1017	144	9	the	the	DET
ijassa-1017	144	10	experimental	experimental	ADJ
ijassa-1017	144	11	data	datum	NOUN
ijassa-1017	144	12	for	for	ADP
ijassa-1017	144	13	the	the	DET
ijassa-1017	144	14	period	period	NOUN
ijassa-1017	144	15	of	of	ADP
ijassa-1017	144	16	n	n	X
ijassa-1017	144	17	nw	nw	PROPN
ijassa-1017	144	18	and	and	CCONJ
ijassa-1017	144	19	se	se	PROPN
ijassa-1017	144	20	facilities	facility	NOUN
ijassa-1017	144	21	,	,	PUNCT
ijassa-1017	144	22	autoregressive	autoregressive	ADJ
ijassa-1017	144	23	models	model	NOUN
ijassa-1017	144	24	of	of	ADP
ijassa-1017	144	25	time	time	NOUN
ijassa-1017	144	26	series	series	PROPN
ijassa-1017	144	27	{	{	PUNCT
ijassa-1017	144	28	x1	x1	PROPN
ijassa-1017	144	29	(	(	PUNCT
ijassa-1017	144	30	t	t	PROPN
ijassa-1017	144	31	)	)	PUNCT
ijassa-1017	144	32	}	}	PUNCT
ijassa-1017	144	33	,	,	PUNCT
ijassa-1017	144	34	{	{	PUNCT
ijassa-1017	144	35	x2(t)},{x3(t	x2(t)},{x3(t	PROPN
ijassa-1017	144	36	)	)	PUNCT
ijassa-1017	144	37	}	}	PUNCT
ijassa-1017	144	38	were	be	AUX
ijassa-1017	144	39	built	build	VERB
ijassa-1017	144	40	.	.	PUNCT
ijassa-1017	145	1	fig	fig	NOUN
ijassa-1017	145	2	.	.	PUNCT
ijassa-1017	146	1	2.13	2.13	NUM
ijassa-1017	146	2	shows	show	VERB
ijassa-1017	146	3	trends	trend	NOUN
ijassa-1017	146	4	of	of	ADP
ijassa-1017	146	5	time	time	NOUN
ijassa-1017	146	6	series	series	PROPN
ijassa-1017	146	7	{	{	PUNCT
ijassa-1017	146	8	x1	x1	PROPN
ijassa-1017	146	9	(	(	PUNCT
ijassa-1017	146	10	t	t	PROPN
ijassa-1017	146	11	)	)	PUNCT
ijassa-1017	146	12	}	}	PUNCT
ijassa-1017	146	13	,	,	PUNCT
ijassa-1017	146	14	{	{	PUNCT
ijassa-1017	146	15	x2(t)},{x3(t	x2(t)},{x3(t	PROPN
ijassa-1017	146	16	)	)	PUNCT
ijassa-1017	146	17	}	}	PUNCT
ijassa-1017	146	18	for	for	ADP
ijassa-1017	146	19	the	the	DET
ijassa-1017	146	20	se	se	PROPN
ijassa-1017	146	21	facility	facility	NOUN
ijassa-1017	146	22	of	of	ADP
ijassa-1017	146	23	cluster	cluster	NOUN
ijassa-1017	146	24	k1	k1	NOUN
ijassa-1017	146	25	.	.	PUNCT
ijassa-1017	147	1	the	the	DET
ijassa-1017	147	2	graphs	graph	NOUN
ijassa-1017	147	3	show	show	VERB
ijassa-1017	147	4	that	that	SCONJ
ijassa-1017	147	5	the	the	DET
ijassa-1017	147	6	dynamics	dynamic	NOUN
ijassa-1017	147	7	of	of	ADP
ijassa-1017	147	8	se	se	PROPN
ijassa-1017	147	9	rows	row	NOUN
ijassa-1017	147	10	is	be	AUX
ijassa-1017	147	11	positive	positive	ADJ
ijassa-1017	147	12	for	for	ADP
ijassa-1017	147	13	all	all	DET
ijassa-1017	147	14	rows	row	NOUN
ijassa-1017	147	15	.	.	PUNCT
ijassa-1017	148	1	to	to	PART
ijassa-1017	148	2	build	build	VERB
ijassa-1017	148	3	an	an	DET
ijassa-1017	148	4	autoregressive	autoregressive	ADJ
ijassa-1017	148	5	model	model	NOUN
ijassa-1017	148	6	,	,	PUNCT
ijassa-1017	148	7	it	it	PRON
ijassa-1017	148	8	is	be	AUX
ijassa-1017	148	9	required	require	VERB
ijassa-1017	148	10	to	to	PART
ijassa-1017	148	11	transform	transform	VERB
ijassa-1017	148	12	the	the	DET
ijassa-1017	148	13	series	series	NOUN
ijassa-1017	148	14	so	so	SCONJ
ijassa-1017	148	15	that	that	SCONJ
ijassa-1017	148	16	the	the	DET
ijassa-1017	148	17	series	series	NOUN
ijassa-1017	148	18	are	be	AUX
ijassa-1017	148	19	stationary	stationary	ADJ
ijassa-1017	148	20	.	.	PUNCT
ijassa-1017	149	1	therefore	therefore	ADV
ijassa-1017	149	2	,	,	PUNCT
ijassa-1017	149	3	autoregressive	autoregressive	ADJ
ijassa-1017	149	4	models	model	NOUN
ijassa-1017	149	5	are	be	AUX
ijassa-1017	149	6	built	build	VERB
ijassa-1017	149	7	according	accord	VERB
ijassa-1017	149	8	to	to	ADP
ijassa-1017	149	9	series	series	PROPN
ijassa-1017	149	10	{	{	PUNCT
ijassa-1017	149	11	n1(t)},{n2(t)},{n3(t	n1(t)},{n2(t)},{n3(t	VERB
ijassa-1017	149	12	)	)	PUNCT
ijassa-1017	149	13	}	}	PUNCT
ijassa-1017	149	14	.	.	PUNCT
ijassa-1017	150	1	to	to	PART
ijassa-1017	150	2	set	set	VERB
ijassa-1017	150	3	the	the	DET
ijassa-1017	150	4	structure	structure	NOUN
ijassa-1017	150	5	of	of	ADP
ijassa-1017	150	6	models	model	NOUN
ijassa-1017	150	7	(	(	PUNCT
ijassa-1017	150	8	p	p	X
ijassa-1017	150	9	,	,	PUNCT
ijassa-1017	150	10	q	q	ADJ
ijassa-1017	150	11	,	,	PUNCT
ijassa-1017	150	12	r	r	NOUN
ijassa-1017	150	13	)	)	PUNCT
ijassa-1017	150	14	,	,	PUNCT
ijassa-1017	150	15	estimates	estimate	NOUN
ijassa-1017	150	16	of	of	ADP
ijassa-1017	150	17	autocorrelation	autocorrelation	NOUN
ijassa-1017	150	18	and	and	CCONJ
ijassa-1017	150	19	partial	partial	ADJ
ijassa-1017	150	20	autocorrelation	autocorrelation	NOUN
ijassa-1017	150	21	of	of	ADP
ijassa-1017	150	22	each	each	DET
ijassa-1017	150	23	time	time	NOUN
ijassa-1017	150	24	series	series	NOUN
ijassa-1017	150	25	were	be	AUX
ijassa-1017	150	26	calculated	calculate	VERB
ijassa-1017	150	27	.	.	PUNCT
ijassa-1017	151	1	the	the	DET
ijassa-1017	151	2	results	result	NOUN
ijassa-1017	151	3	of	of	ADP
ijassa-1017	151	4	estimating	estimate	VERB
ijassa-1017	151	5	the	the	DET
ijassa-1017	151	6	coefficients	coefficient	NOUN
ijassa-1017	151	7	of	of	ADP
ijassa-1017	151	8	autoregressive	autoregressive	ADJ
ijassa-1017	151	9	models	model	NOUN
ijassa-1017	151	10	are	be	AUX
ijassa-1017	151	11	shown	show	VERB
ijassa-1017	151	12	in	in	ADP
ijassa-1017	151	13	tables	table	NOUN
ijassa-1017	151	14	3	3	NUM
ijassa-1017	151	15	,	,	PUNCT
ijassa-1017	151	16	4	4	NUM
ijassa-1017	151	17	.	.	PUNCT
ijassa-1017	152	1	it	it	PRON
ijassa-1017	152	2	is	be	AUX
ijassa-1017	152	3	important	important	ADJ
ijassa-1017	152	4	to	to	PART
ijassa-1017	152	5	note	note	VERB
ijassa-1017	152	6	that	that	SCONJ
ijassa-1017	152	7	almost	almost	ADV
ijassa-1017	152	8	all	all	DET
ijassa-1017	152	9	observations	observation	NOUN
ijassa-1017	152	10	for	for	ADP
ijassa-1017	152	11	se	se	PROPN
ijassa-1017	152	12	facilities	facility	NOUN
ijassa-1017	152	13	fell	fall	VERB
ijassa-1017	152	14	into	into	ADP
ijassa-1017	152	15	cluster	cluster	NOUN
ijassa-1017	152	16	k1	k1	NOUN
ijassa-1017	152	17	,	,	PUNCT
ijassa-1017	152	18	and	and	CCONJ
ijassa-1017	152	19	for	for	ADP
ijassa-1017	152	20	nw	nw	PROPN
ijassa-1017	152	21	–	–	PUNCT
ijassa-1017	152	22	into	into	ADP
ijassa-1017	152	23	cluster	cluster	NOUN
ijassa-1017	152	24	k2	k2	NOUN
ijassa-1017	152	25	.	.	PUNCT
ijassa-1017	153	1	the	the	DET
ijassa-1017	153	2	analysis	analysis	NOUN
ijassa-1017	153	3	of	of	ADP
ijassa-1017	153	4	the	the	DET
ijassa-1017	153	5	coefficient	coefficient	NOUN
ijassa-1017	153	6	estimates	estimate	NOUN
ijassa-1017	153	7	shows	show	VERB
ijassa-1017	153	8	that	that	SCONJ
ijassa-1017	153	9	for	for	ADP
ijassa-1017	153	10	the	the	DET
ijassa-1017	153	11	se	se	PROPN
ijassa-1017	153	12	facilities	facility	NOUN
ijassa-1017	153	13	the	the	DET
ijassa-1017	153	14	negative	negative	ADJ
ijassa-1017	153	15	attitude	attitude	NOUN
ijassa-1017	153	16	towards	towards	ADP
ijassa-1017	153	17	project	project	NOUN
ijassa-1017	153	18	p	p	NOUN
ijassa-1017	153	19	is	be	AUX
ijassa-1017	153	20	growing	grow	VERB
ijassa-1017	153	21	.	.	PUNCT
ijassa-1017	154	1	in	in	ADP
ijassa-1017	154	2	models	model	NOUN
ijassa-1017	154	3	(	(	PUNCT
ijassa-1017	154	4	1	1	NUM
ijassa-1017	154	5	)	)	PUNCT
ijassa-1017	154	6	,	,	PUNCT
ijassa-1017	154	7	the	the	DET
ijassa-1017	154	8	coefficient	coefficient	NOUN
ijassa-1017	154	9	before	before	SCONJ
ijassa-1017	154	10	n1	n1	PROPN
ijassa-1017	154	11	is	be	AUX
ijassa-1017	154	12	positive	positive	ADJ
ijassa-1017	154	13	and	and	CCONJ
ijassa-1017	154	14	has	have	VERB
ijassa-1017	154	15	a	a	DET
ijassa-1017	154	16	value	value	NOUN
ijassa-1017	154	17	close	close	ADV
ijassa-1017	154	18	to	to	ADP
ijassa-1017	154	19	1	1	NUM
ijassa-1017	154	20	,	,	PUNCT
ijassa-1017	154	21	and	and	CCONJ
ijassa-1017	154	22	the	the	DET
ijassa-1017	154	23	coefficient	coefficient	NOUN
ijassa-1017	154	24	before	before	ADP
ijassa-1017	154	25	n3	n3	NOUN
ijassa-1017	154	26	is	be	AUX
ijassa-1017	154	27	negative	negative	ADJ
ijassa-1017	154	28	.	.	PUNCT
ijassa-1017	155	1	the	the	DET
ijassa-1017	155	2	coefficients	coefficient	NOUN
ijassa-1017	155	3	show	show	VERB
ijassa-1017	155	4	that	that	SCONJ
ijassa-1017	155	5	the	the	DET
ijassa-1017	155	6	negative	negative	ADJ
ijassa-1017	155	7	attitude	attitude	NOUN
ijassa-1017	155	8	is	be	AUX
ijassa-1017	155	9	growing	grow	VERB
ijassa-1017	155	10	strongly	strongly	ADV
ijassa-1017	155	11	,	,	PUNCT
ijassa-1017	155	12	and	and	CCONJ
ijassa-1017	155	13	the	the	DET
ijassa-1017	155	14	positive	positive	ADJ
ijassa-1017	155	15	attitude	attitude	NOUN
ijassa-1017	155	16	is	be	AUX
ijassa-1017	155	17	decreasing	decrease	VERB
ijassa-1017	155	18	.	.	PUNCT
ijassa-1017	156	1	models	model	NOUN
ijassa-1017	156	2	(	(	PUNCT
ijassa-1017	156	3	2	2	X
ijassa-1017	156	4	)	)	PUNCT
ijassa-1017	156	5	indicate	indicate	VERB
ijassa-1017	156	6	that	that	SCONJ
ijassa-1017	156	7	for	for	ADP
ijassa-1017	156	8	the	the	DET
ijassa-1017	156	9	nw	nw	PROPN
ijassa-1017	156	10	facility	facility	NOUN
ijassa-1017	156	11	,	,	PUNCT
ijassa-1017	156	12	the	the	DET
ijassa-1017	156	13	positive	positive	ADJ
ijassa-1017	156	14	attitude	attitude	NOUN
ijassa-1017	156	15	to	to	AUX
ijassa-1017	156	16	project	project	VERB
ijassa-1017	156	17	p	p	NOUN
ijassa-1017	156	18	grows	grow	VERB
ijassa-1017	156	19	faster	fast	ADV
ijassa-1017	156	20	than	than	ADP
ijassa-1017	156	21	the	the	DET
ijassa-1017	156	22	negative	negative	ADJ
ijassa-1017	156	23	one	one	NUM
ijassa-1017	156	24	.	.	PUNCT
ijassa-1017	157	1	x3	x3	ADJ
ijassa-1017	157	2	x2	x2	PROPN
ijassa-1017	158	1	x11	x11	NOUN
ijassa-1017	158	2	3	3	NUM
ijassa-1017	158	3	5	5	NUM
ijassa-1017	158	4	7	7	NUM
ijassa-1017	158	5	9	9	NUM
ijassa-1017	158	6	11	11	NUM
ijassa-1017	158	7	13	13	NUM
ijassa-1017	158	8	15	15	NUM
ijassa-1017	158	9	17	17	NUM
ijassa-1017	158	10	19	19	NUM
ijassa-1017	158	11	21	21	NUM
ijassa-1017	158	12	23	23	NUM
ijassa-1017	158	13	25	25	NUM
ijassa-1017	159	1	-200	-200	NUM
ijassa-1017	159	2	0	0	NUM
ijassa-1017	159	3	200	200	NUM
ijassa-1017	159	4	400	400	NUM
ijassa-1017	159	5	600	600	NUM
ijassa-1017	159	6	800	800	NUM
ijassa-1017	159	7	1000	1000	NUM
ijassa-1017	159	8	1200	1200	NUM
ijassa-1017	159	9	fig	fig	NOUN
ijassa-1017	159	10	.	.	PUNCT
ijassa-1017	160	1	2.13	2.13	NUM
ijassa-1017	160	2	.	.	PUNCT
ijassa-1017	160	3	trends	trend	NOUN
ijassa-1017	160	4	of	of	ADP
ijassa-1017	160	5	time	time	NOUN
ijassa-1017	160	6	series	series	PROPN
ijassa-1017	160	7	{	{	PUNCT
ijassa-1017	160	8	x1	x1	PROPN
ijassa-1017	160	9	(	(	PUNCT
ijassa-1017	160	10	t	t	PROPN
ijassa-1017	160	11	)	)	PUNCT
ijassa-1017	160	12	}	}	PUNCT
ijassa-1017	160	13	,	,	PUNCT
ijassa-1017	160	14	{	{	PUNCT
ijassa-1017	160	15	x2(t)},{x3(t	x2(t)},{x3(t	PROPN
ijassa-1017	160	16	)	)	PUNCT
ijassa-1017	160	17	}	}	PUNCT
ijassa-1017	160	18	for	for	ADP
ijassa-1017	160	19	the	the	DET
ijassa-1017	160	20	se	se	PROPN
ijassa-1017	160	21	data	data	PROPN
ijassa-1017	160	22	.	.	PUNCT
ijassa-1017	161	1	autoregressive	autoregressive	ADJ
ijassa-1017	161	2	models	model	NOUN
ijassa-1017	161	3	for	for	ADP
ijassa-1017	161	4	the	the	DET
ijassa-1017	161	5	se	se	PROPN
ijassa-1017	161	6	data	datum	NOUN
ijassa-1017	161	7	are	be	AUX
ijassa-1017	161	8	given	give	VERB
ijassa-1017	161	9	below	below	ADV
ijassa-1017	161	10	:	:	PUNCT
ijassa-1017	161	11	;	;	PUNCT
ijassa-1017	161	12	;	;	PUNCT
ijassa-1017	161	13	(	(	PUNCT
ijassa-1017	161	14	1	1	X
ijassa-1017	161	15	)	)	PUNCT
ijassa-1017	161	16	,	,	PUNCT
ijassa-1017	161	17	where	where	SCONJ
ijassa-1017	161	18	.	.	PUNCT
ijassa-1017	161	19	autoregressive	autoregressive	ADJ
ijassa-1017	161	20	models	model	NOUN
ijassa-1017	161	21	for	for	ADP
ijassa-1017	161	22	the	the	DET
ijassa-1017	161	23	nw	nw	PROPN
ijassa-1017	161	24	data	datum	NOUN
ijassa-1017	161	25	are	be	AUX
ijassa-1017	161	26	as	as	SCONJ
ijassa-1017	161	27	follows	follow	VERB
ijassa-1017	161	28	:	:	PUNCT
ijassa-1017	161	29	;	;	PUNCT
ijassa-1017	161	30	;	;	PUNCT
ijassa-1017	161	31	(	(	PUNCT
ijassa-1017	161	32	2	2	X
ijassa-1017	161	33	)	)	PUNCT
ijassa-1017	161	34	,	,	PUNCT
ijassa-1017	161	35	where	where	SCONJ
ijassa-1017	161	36	.	.	PUNCT
ijassa-1017	162	1	2.6	2.6	NUM
ijassa-1017	162	2	.	.	PUNCT
ijassa-1017	162	3	model	model	PROPN
ijassa-1017	162	4	2	2	NUM
ijassa-1017	162	5	.	.	X
ijassa-1017	163	1	modeling	modeling	NOUN
ijassa-1017	163	2	with	with	ADP
ijassa-1017	163	3	differential	differential	ADJ
ijassa-1017	163	4	equations	equation	NOUN
ijassa-1017	163	5	the	the	DET
ijassa-1017	163	6	dynamics	dynamic	NOUN
ijassa-1017	163	7	of	of	ADP
ijassa-1017	163	8	the	the	DET
ijassa-1017	163	9	process	process	NOUN
ijassa-1017	163	10	under	under	ADP
ijassa-1017	163	11	consideration	consideration	NOUN
ijassa-1017	163	12	can	can	AUX
ijassa-1017	163	13	be	be	AUX
ijassa-1017	163	14	described	describe	VERB
ijassa-1017	163	15	using	use	VERB
ijassa-1017	163	16	the	the	DET
ijassa-1017	163	17	typeepidemiological	typeepidemiological	ADJ
ijassa-1017	163	18	mathematical	mathematical	ADJ
ijassa-1017	163	19	model	model	NOUN
ijassa-1017	163	20	[	[	X
ijassa-1017	163	21	1,2,7	1,2,7	NUM
ijassa-1017	163	22	]	]	PUNCT
ijassa-1017	163	23	.	.	PUNCT
ijassa-1017	164	1	in	in	ADP
ijassa-1017	164	2	this	this	DET
ijassa-1017	164	3	case	case	NOUN
ijassa-1017	164	4	,	,	PUNCT
ijassa-1017	164	5	we	we	PRON
ijassa-1017	164	6	study	study	VERB
ijassa-1017	164	7	the	the	DET
ijassa-1017	164	8	dynamics	dynamic	NOUN
ijassa-1017	164	9	of	of	ADP
ijassa-1017	164	10	the	the	DET
ijassa-1017	164	11	process	process	NOUN
ijassa-1017	164	12	as	as	ADP
ijassa-1017	164	13	some	some	DET
ijassa-1017	164	14	type	type	NOUN
ijassa-1017	164	15	of	of	ADP
ijassa-1017	164	16	epidemiological	epidemiological	ADJ
ijassa-1017	164	17	contact	contact	NOUN
ijassa-1017	164	18	process	process	NOUN
ijassa-1017	164	19	.	.	PUNCT
ijassa-1017	165	1	there	there	PRON
ijassa-1017	165	2	are	be	VERB
ijassa-1017	165	3	various	various	ADJ
ijassa-1017	165	4	kinds	kind	NOUN
ijassa-1017	165	5	of	of	ADP
ijassa-1017	165	6	models	model	NOUN
ijassa-1017	165	7	.	.	PUNCT
ijassa-1017	166	1	the	the	DET
ijassa-1017	166	2	type	type	NOUN
ijassa-1017	166	3	of	of	ADP
ijassa-1017	166	4	models	model	NOUN
ijassa-1017	166	5	is	be	AUX
ijassa-1017	166	6	selected	select	VERB
ijassa-1017	166	7	based	base	VERB
ijassa-1017	166	8	on	on	ADP
ijassa-1017	166	9	the	the	DET
ijassa-1017	166	10	analysis	analysis	NOUN
ijassa-1017	166	11	of	of	ADP
ijassa-1017	166	12	the	the	DET
ijassa-1017	166	13	interaction	interaction	NOUN
ijassa-1017	166	14	of	of	ADP
ijassa-1017	166	15	the	the	DET
ijassa-1017	166	16	selected	select	VERB
ijassa-1017	166	17	groups	group	NOUN
ijassa-1017	166	18	in	in	ADP
ijassa-1017	166	19	the	the	DET
ijassa-1017	166	20	model	model	NOUN
ijassa-1017	166	21	.	.	PUNCT
ijassa-1017	167	1	taking	take	VERB
ijassa-1017	167	2	into	into	ADP
ijassa-1017	167	3	account	account	NOUN
ijassa-1017	167	4	that	that	SCONJ
ijassa-1017	167	5	there	there	PRON
ijassa-1017	167	6	is	be	VERB
ijassa-1017	167	7	no	no	DET
ijassa-1017	167	8	contradiction	contradiction	NOUN
ijassa-1017	167	9	in	in	ADP
ijassa-1017	167	10	the	the	DET
ijassa-1017	167	11	problem	problem	NOUN
ijassa-1017	167	12	under	under	ADP
ijassa-1017	167	13	consideration	consideration	NOUN
ijassa-1017	167	14	,	,	PUNCT
ijassa-1017	167	15	the	the	DET
ijassa-1017	167	16	type	type	NOUN
ijassa-1017	167	17	of	of	ADP
ijassa-1017	167	18	model	model	NOUN
ijassa-1017	167	19	was	be	AUX
ijassa-1017	167	20	chosen	choose	VERB
ijassa-1017	167	21	using	use	VERB
ijassa-1017	167	22	systems	system	NOUN
ijassa-1017	167	23	of	of	ADP
ijassa-1017	167	24	linear	linear	PROPN
ijassa-1017	167	25	differential	differential	ADJ
ijassa-1017	167	26	equations	equation	NOUN
ijassa-1017	167	27	:	:	PUNCT
ijassa-1017	167	28	122	122	NUM
ijassa-1017	167	29	n.	n.	PROPN
ijassa-1017	167	30	gabdrakhmanova	gabdrakhmanova	PROPN
ijassa-1017	167	31	,	,	PUNCT
ijassa-1017	167	32	m.	m.	NOUN
ijassa-1017	167	33	pilgun	pilgun	PROPN
ijassa-1017	167	34	copyright	copyright	NOUN
ijassa-1017	168	1	©	©	PROPN
ijassa-1017	168	2	2020	2020	NUM
ijassa-1017	168	3	assa	assa	NOUN
ijassa-1017	168	4	.	.	PUNCT
ijassa-1017	169	1	adv	adv	PROPN
ijassa-1017	169	2	.	.	PUNCT
ijassa-1017	170	1	in	in	ADP
ijassa-1017	170	2	systems	system	NOUN
ijassa-1017	170	3	science	science	NOUN
ijassa-1017	170	4	and	and	CCONJ
ijassa-1017	170	5	appl	appl	NOUN
ijassa-1017	170	6	.	.	PUNCT
ijassa-1017	171	1	(	(	PUNCT
ijassa-1017	171	2	2020	2020	NUM
ijassa-1017	171	3	)	)	PUNCT
ijassa-1017	171	4	(	(	PUNCT
ijassa-1017	171	5	3	3	X
ijassa-1017	171	6	)	)	PUNCT
ijassa-1017	171	7	the	the	DET
ijassa-1017	171	8	solution	solution	NOUN
ijassa-1017	171	9	to	to	ADP
ijassa-1017	171	10	the	the	DET
ijassa-1017	171	11	system	system	NOUN
ijassa-1017	171	12	of	of	ADP
ijassa-1017	171	13	differential	differential	ADJ
ijassa-1017	171	14	equations	equation	NOUN
ijassa-1017	171	15	(	(	PUNCT
ijassa-1017	171	16	3	3	X
ijassa-1017	171	17	)	)	PUNCT
ijassa-1017	171	18	is	be	AUX
ijassa-1017	171	19	vector	vector	NOUN
ijassa-1017	171	20	x(t)=(x1	x(t)=(x1	X
ijassa-1017	171	21	(	(	PUNCT
ijassa-1017	171	22	t	t	PROPN
ijassa-1017	171	23	)	)	PUNCT
ijassa-1017	171	24	,	,	PUNCT
ijassa-1017	171	25	x2(t	x2(t	PROPN
ijassa-1017	171	26	)	)	PUNCT
ijassa-1017	171	27	,	,	PUNCT
ijassa-1017	171	28	x3	x3	PROPN
ijassa-1017	171	29	(	(	PUNCT
ijassa-1017	171	30	t	t	PROPN
ijassa-1017	171	31	)	)	PUNCT
ijassa-1017	171	32	)	)	PUNCT
ijassa-1017	171	33	,	,	PUNCT
ijassa-1017	171	34	then	then	ADV
ijassa-1017	171	35	(	(	PUNCT
ijassa-1017	171	36	1	1	X
ijassa-1017	171	37	)	)	PUNCT
ijassa-1017	171	38	in	in	ADP
ijassa-1017	171	39	vector	vector	NOUN
ijassa-1017	171	40	form	form	NOUN
ijassa-1017	171	41	is	be	AUX
ijassa-1017	171	42	written	write	VERB
ijassa-1017	171	43	as	as	SCONJ
ijassa-1017	171	44	follows	follow	VERB
ijassa-1017	171	45	:	:	PUNCT
ijassa-1017	171	46	.	.	PUNCT
ijassa-1017	172	1	the	the	DET
ijassa-1017	172	2	parameters	parameter	NOUN
ijassa-1017	172	3	of	of	ADP
ijassa-1017	172	4	our	our	PRON
ijassa-1017	172	5	system	system	NOUN
ijassa-1017	172	6	(	(	PUNCT
ijassa-1017	172	7	3	3	X
ijassa-1017	172	8	)	)	PUNCT
ijassa-1017	172	9	are	be	AUX
ijassa-1017	172	10	unknown	unknown	ADJ
ijassa-1017	172	11	.	.	PUNCT
ijassa-1017	173	1	the	the	DET
ijassa-1017	173	2	task	task	NOUN
ijassa-1017	173	3	of	of	ADP
ijassa-1017	173	4	building	build	VERB
ijassa-1017	173	5	parametric	parametric	ADJ
ijassa-1017	173	6	models	model	NOUN
ijassa-1017	173	7	arises	arise	VERB
ijassa-1017	173	8	when	when	SCONJ
ijassa-1017	173	9	it	it	PRON
ijassa-1017	173	10	is	be	AUX
ijassa-1017	173	11	required	require	VERB
ijassa-1017	173	12	to	to	PART
ijassa-1017	173	13	identify	identify	VERB
ijassa-1017	173	14	the	the	DET
ijassa-1017	173	15	value	value	NOUN
ijassa-1017	173	16	of	of	ADP
ijassa-1017	173	17	a	a	DET
ijassa-1017	173	18	parameter	parameter	NOUN
ijassa-1017	173	19	from	from	ADP
ijassa-1017	173	20	measurement	measurement	NOUN
ijassa-1017	173	21	data	datum	NOUN
ijassa-1017	173	22	.	.	PUNCT
ijassa-1017	174	1	various	various	ADJ
ijassa-1017	174	2	methods	method	NOUN
ijassa-1017	174	3	have	have	AUX
ijassa-1017	174	4	been	be	AUX
ijassa-1017	174	5	developed	develop	VERB
ijassa-1017	174	6	to	to	PART
ijassa-1017	174	7	estimate	estimate	VERB
ijassa-1017	174	8	the	the	DET
ijassa-1017	174	9	parameters	parameter	NOUN
ijassa-1017	174	10	of	of	ADP
ijassa-1017	174	11	model	model	NOUN
ijassa-1017	174	12	(	(	PUNCT
ijassa-1017	174	13	3	3	NUM
ijassa-1017	174	14	)	)	PUNCT
ijassa-1017	174	15	from	from	ADP
ijassa-1017	174	16	experimental	experimental	ADJ
ijassa-1017	174	17	points	point	NOUN
ijassa-1017	174	18	,	,	PUNCT
ijassa-1017	174	19	for	for	ADP
ijassa-1017	174	20	example	example	NOUN
ijassa-1017	174	21	,	,	PUNCT
ijassa-1017	174	22	the	the	DET
ijassa-1017	174	23	nelder	nelder	ADJ
ijassa-1017	174	24	-	-	PUNCT
ijassa-1017	174	25	mead	mead	NOUN
ijassa-1017	174	26	method	method	NOUN
ijassa-1017	174	27	.	.	PUNCT
ijassa-1017	175	1	to	to	PART
ijassa-1017	175	2	solve	solve	VERB
ijassa-1017	175	3	the	the	DET
ijassa-1017	175	4	parameterization	parameterization	NOUN
ijassa-1017	175	5	problem	problem	NOUN
ijassa-1017	175	6	,	,	PUNCT
ijassa-1017	175	7	a	a	DET
ijassa-1017	175	8	neural	neural	ADJ
ijassa-1017	175	9	network	network	NOUN
ijassa-1017	175	10	approach	approach	NOUN
ijassa-1017	175	11	was	be	AUX
ijassa-1017	175	12	used	use	VERB
ijassa-1017	175	13	.	.	PUNCT
ijassa-1017	176	1	it	it	PRON
ijassa-1017	176	2	has	have	AUX
ijassa-1017	176	3	been	be	AUX
ijassa-1017	176	4	proven	prove	VERB
ijassa-1017	176	5	that	that	SCONJ
ijassa-1017	176	6	the	the	DET
ijassa-1017	176	7	neural	neural	ADJ
ijassa-1017	176	8	network	network	NOUN
ijassa-1017	176	9	approach	approach	NOUN
ijassa-1017	176	10	allows	allow	VERB
ijassa-1017	176	11	obtaining	obtain	VERB
ijassa-1017	176	12	sustainable	sustainable	ADJ
ijassa-1017	176	13	solutions	solution	NOUN
ijassa-1017	176	14	.	.	PUNCT
ijassa-1017	177	1	this	this	PRON
ijassa-1017	177	2	is	be	AUX
ijassa-1017	177	3	accounted	account	VERB
ijassa-1017	177	4	for	for	ADP
ijassa-1017	177	5	as	as	SCONJ
ijassa-1017	177	6	follows	follow	NOUN
ijassa-1017	177	7	.	.	PUNCT
ijassa-1017	178	1	experimental	experimental	ADJ
ijassa-1017	178	2	points	point	NOUN
ijassa-1017	178	3	always	always	ADV
ijassa-1017	178	4	have	have	VERB
ijassa-1017	178	5	measurement	measurement	NOUN
ijassa-1017	178	6	errors	error	NOUN
ijassa-1017	178	7	.	.	PUNCT
ijassa-1017	179	1	neural	neural	ADJ
ijassa-1017	179	2	network	network	NOUN
ijassa-1017	179	3	functions	function	NOUN
ijassa-1017	179	4	are	be	AUX
ijassa-1017	179	5	robust	robust	ADJ
ijassa-1017	179	6	against	against	ADP
ijassa-1017	179	7	errors	error	NOUN
ijassa-1017	179	8	in	in	ADP
ijassa-1017	179	9	the	the	DET
ijassa-1017	179	10	original	original	ADJ
ijassa-1017	179	11	data	datum	NOUN
ijassa-1017	179	12	and	and	CCONJ
ijassa-1017	179	13	can	can	AUX
ijassa-1017	179	14	be	be	AUX
ijassa-1017	179	15	efficiently	efficiently	ADV
ijassa-1017	179	16	implemented	implement	VERB
ijassa-1017	179	17	in	in	ADP
ijassa-1017	179	18	software	software	NOUN
ijassa-1017	179	19	and	and	CCONJ
ijassa-1017	179	20	hardware	hardware	NOUN
ijassa-1017	179	21	.	.	PUNCT
ijassa-1017	180	1	neural	neural	ADJ
ijassa-1017	180	2	networks	network	NOUN
ijassa-1017	180	3	of	of	ADP
ijassa-1017	180	4	multi	multi	ADJ
ijassa-1017	180	5	-	-	ADJ
ijassa-1017	180	6	layer	layer	ADJ
ijassa-1017	180	7	perceptron	perceptron	NOUN
ijassa-1017	180	8	(	(	PUNCT
ijassa-1017	180	9	mlp	mlp	PROPN
ijassa-1017	180	10	)	)	PUNCT
ijassa-1017	180	11	and	and	CCONJ
ijassa-1017	180	12	radial	radial	ADJ
ijassa-1017	180	13	basis	basis	NOUN
ijassa-1017	180	14	(	(	PUNCT
ijassa-1017	180	15	rbf	rbf	PROPN
ijassa-1017	180	16	)	)	PUNCT
ijassa-1017	180	17	architectures	architecture	NOUN
ijassa-1017	180	18	are	be	AUX
ijassa-1017	180	19	suitable	suitable	ADJ
ijassa-1017	180	20	for	for	ADP
ijassa-1017	180	21	solving	solve	VERB
ijassa-1017	180	22	the	the	DET
ijassa-1017	180	23	problem	problem	NOUN
ijassa-1017	180	24	.	.	PUNCT
ijassa-1017	181	1	let	let	VERB
ijassa-1017	181	2	us	we	PRON
ijassa-1017	181	3	explain	explain	VERB
ijassa-1017	181	4	the	the	DET
ijassa-1017	181	5	essence	essence	NOUN
ijassa-1017	181	6	of	of	ADP
ijassa-1017	181	7	the	the	DET
ijassa-1017	181	8	neural	neural	ADJ
ijassa-1017	181	9	network	network	NOUN
ijassa-1017	181	10	approach	approach	NOUN
ijassa-1017	181	11	using	use	VERB
ijassa-1017	181	12	the	the	DET
ijassa-1017	181	13	example	example	NOUN
ijassa-1017	181	14	of	of	ADP
ijassa-1017	181	15	the	the	DET
ijassa-1017	181	16	simplest	simple	ADJ
ijassa-1017	181	17	problem	problem	NOUN
ijassa-1017	181	18	of	of	ADP
ijassa-1017	181	19	solving	solve	VERB
ijassa-1017	181	20	a	a	DET
ijassa-1017	181	21	differential	differential	ADJ
ijassa-1017	181	22	equation	equation	NOUN
ijassa-1017	181	23	:	:	PUNCT
ijassa-1017	181	24	,	,	PUNCT
ijassa-1017	181	25	(	(	PUNCT
ijassa-1017	181	26	*	*	PUNCT
ijassa-1017	181	27	)	)	PUNCT
ijassa-1017	181	28	here	here	ADV
ijassa-1017	181	29	is	be	AUX
ijassa-1017	181	30	a	a	DET
ijassa-1017	181	31	differential	differential	ADJ
ijassa-1017	181	32	operator	operator	NOUN
ijassa-1017	181	33	,	,	PUNCT
ijassa-1017	181	34	i.e.	i.e.	X
ijassa-1017	181	35	an	an	DET
ijassa-1017	181	36	algebraic	algebraic	ADJ
ijassa-1017	181	37	expression	expression	NOUN
ijassa-1017	181	38	containing	contain	VERB
ijassa-1017	181	39	derivatives	derivative	NOUN
ijassa-1017	181	40	of	of	ADP
ijassa-1017	181	41	an	an	DET
ijassa-1017	181	42	unknown	unknown	ADJ
ijassa-1017	181	43	function	function	NOUN
ijassa-1017	182	1	u.	u.	VERB
ijassa-1017	182	2	let	let	VERB
ijassa-1017	182	3	us	we	PRON
ijassa-1017	182	4	search	search	VERB
ijassa-1017	182	5	for	for	ADP
ijassa-1017	182	6	an	an	DET
ijassa-1017	182	7	approximate	approximate	ADJ
ijassa-1017	182	8	solution	solution	NOUN
ijassa-1017	182	9	(	(	PUNCT
ijassa-1017	182	10	*	*	PUNCT
ijassa-1017	182	11	)	)	PUNCT
ijassa-1017	182	12	in	in	ADP
ijassa-1017	182	13	the	the	DET
ijassa-1017	182	14	form	form	NOUN
ijassa-1017	182	15	of	of	ADP
ijassa-1017	182	16	an	an	DET
ijassa-1017	182	17	artificial	artificial	ADJ
ijassa-1017	182	18	neural	neural	ADJ
ijassa-1017	182	19	network	network	NOUN
ijassa-1017	182	20	of	of	ADP
ijassa-1017	182	21	a	a	DET
ijassa-1017	182	22	given	give	VERB
ijassa-1017	182	23	architecture	architecture	NOUN
ijassa-1017	182	24	:	:	PUNCT
ijassa-1017	182	25	here	here	ADV
ijassa-1017	182	26	w=(w1,w2,	w=(w1,w2,	PROPN
ijassa-1017	182	27	…	…	SYM
ijassa-1017	182	28	,wn	,wn	X
ijassa-1017	182	29	)	)	PUNCT
ijassa-1017	182	30	is	be	AUX
ijassa-1017	182	31	the	the	DET
ijassa-1017	182	32	vector	vector	NOUN
ijassa-1017	182	33	of	of	ADP
ijassa-1017	182	34	weights	weight	NOUN
ijassa-1017	182	35	wi=(ci	wi=(ci	ADJ
ijassa-1017	182	36	,	,	PUNCT
ijassa-1017	182	37	ai	ai	NOUN
ijassa-1017	182	38	)	)	PUNCT
ijassa-1017	182	39	.	.	PUNCT
ijassa-1017	183	1	the	the	DET
ijassa-1017	183	2	basic	basic	ADJ
ijassa-1017	183	3	neuroelement	neuroelement	NOUN
ijassa-1017	183	4	v	v	NOUN
ijassa-1017	183	5	is	be	AUX
ijassa-1017	183	6	set	set	VERB
ijassa-1017	183	7	by	by	ADP
ijassa-1017	183	8	the	the	DET
ijassa-1017	183	9	choice	choice	NOUN
ijassa-1017	183	10	of	of	ADP
ijassa-1017	183	11	the	the	DET
ijassa-1017	183	12	activation	activation	NOUN
ijassa-1017	183	13	function	function	NOUN
ijassa-1017	183	14	–	–	PUNCT
ijassa-1017	183	15	function	function	NOUN
ijassa-1017	183	16	f	f	NOUN
ijassa-1017	183	17	of	of	ADP
ijassa-1017	183	18	one	one	NUM
ijassa-1017	183	19	real	real	ADJ
ijassa-1017	183	20	variable	variable	NOUN
ijassa-1017	183	21	.	.	PUNCT
ijassa-1017	184	1	the	the	DET
ijassa-1017	184	2	weights	weight	NOUN
ijassa-1017	184	3	of	of	ADP
ijassa-1017	184	4	the	the	DET
ijassa-1017	184	5	neural	neural	ADJ
ijassa-1017	184	6	network	network	NOUN
ijassa-1017	184	7	–	–	PUNCT
ijassa-1017	184	8	linear	linear	ADJ
ijassa-1017	184	9	input	input	NOUN
ijassa-1017	184	10	parameters	parameter	NOUN
ijassa-1017	184	11	ci	ci	PROPN
ijassa-1017	184	12	and	and	CCONJ
ijassa-1017	184	13	non	non	ADJ
ijassa-1017	184	14	-	-	ADJ
ijassa-1017	184	15	linear	linear	ADJ
ijassa-1017	184	16	input	input	NOUN
ijassa-1017	184	17	parameters	parameter	NOUN
ijassa-1017	184	18	ai	ai	VERB
ijassa-1017	184	19	–	–	PUNCT
ijassa-1017	184	20	are	be	AUX
ijassa-1017	184	21	involved	involve	VERB
ijassa-1017	184	22	in	in	ADP
ijassa-1017	184	23	the	the	DET
ijassa-1017	184	24	process	process	NOUN
ijassa-1017	184	25	of	of	ADP
ijassa-1017	184	26	step	step	NOUN
ijassa-1017	184	27	-	-	PUNCT
ijassa-1017	184	28	by	by	ADP
ijassa-1017	184	29	-	-	PUNCT
ijassa-1017	184	30	step	step	NOUN
ijassa-1017	184	31	training	training	NOUN
ijassa-1017	184	32	of	of	ADP
ijassa-1017	184	33	the	the	DET
ijassa-1017	184	34	network	network	NOUN
ijassa-1017	184	35	that	that	PRON
ijassa-1017	184	36	,	,	PUNCT
ijassa-1017	184	37	in	in	ADP
ijassa-1017	184	38	the	the	DET
ijassa-1017	184	39	general	general	ADJ
ijassa-1017	184	40	case	case	NOUN
ijassa-1017	184	41	,	,	PUNCT
ijassa-1017	184	42	is	be	AUX
ijassa-1017	184	43	built	build	VERB
ijassa-1017	184	44	on	on	ADP
ijassa-1017	184	45	minimization	minimization	NOUN
ijassa-1017	184	46	of	of	ADP
ijassa-1017	184	47	some	some	DET
ijassa-1017	184	48	error	error	NOUN
ijassa-1017	184	49	functional	functional	ADJ
ijassa-1017	184	50	j(w	j(w	PROPN
ijassa-1017	184	51	):	):	PUNCT
ijassa-1017	184	52	the	the	DET
ijassa-1017	184	53	point	point	NOUN
ijassa-1017	184	54	to	to	PART
ijassa-1017	184	55	be	be	AUX
ijassa-1017	184	56	emphasized	emphasize	VERB
ijassa-1017	184	57	is	be	AUX
ijassa-1017	184	58	that	that	SCONJ
ijassa-1017	184	59	what	what	PRON
ijassa-1017	184	60	is	be	AUX
ijassa-1017	184	61	sought	seek	VERB
ijassa-1017	184	62	is	be	AUX
ijassa-1017	184	63	not	not	PART
ijassa-1017	184	64	the	the	DET
ijassa-1017	184	65	minimum	minimum	ADJ
ijassa-1017	184	66	j(w	j(w	PROPN
ijassa-1017	184	67	)	)	PUNCT
ijassa-1017	184	68	,	,	PUNCT
ijassa-1017	184	69	but	but	CCONJ
ijassa-1017	184	70	point	point	NOUN
ijassa-1017	184	71	in	in	ADP
ijassa-1017	184	72	the	the	DET
ijassa-1017	184	73	space	space	NOUN
ijassa-1017	184	74	of	of	ADP
ijassa-1017	184	75	weights	weight	NOUN
ijassa-1017	184	76	specifying	specify	VERB
ijassa-1017	184	77	solution	solution	NOUN
ijassa-1017	184	78	.	.	PUNCT
ijassa-1017	185	1	the	the	DET
ijassa-1017	185	2	number	number	NOUN
ijassa-1017	185	3	is	be	AUX
ijassa-1017	185	4	chosen	choose	VERB
ijassa-1017	185	5	so	so	SCONJ
ijassa-1017	185	6	that	that	SCONJ
ijassa-1017	185	7	the	the	DET
ijassa-1017	185	8	built	build	VERB
ijassa-1017	185	9	model	model	NOUN
ijassa-1017	185	10	is	be	AUX
ijassa-1017	185	11	considered	consider	VERB
ijassa-1017	185	12	sufficiently	sufficiently	ADV
ijassa-1017	185	13	accurate	accurate	ADJ
ijassa-1017	185	14	.	.	PUNCT
ijassa-1017	186	1	after	after	ADP
ijassa-1017	186	2	solving	solve	VERB
ijassa-1017	186	3	the	the	DET
ijassa-1017	186	4	parameterization	parameterization	NOUN
ijassa-1017	186	5	problem	problem	NOUN
ijassa-1017	186	6	(	(	PUNCT
ijassa-1017	186	7	3	3	NUM
ijassa-1017	186	8	)	)	PUNCT
ijassa-1017	186	9	,	,	PUNCT
ijassa-1017	186	10	it	it	PRON
ijassa-1017	186	11	is	be	AUX
ijassa-1017	186	12	necessary	necessary	ADJ
ijassa-1017	186	13	to	to	PART
ijassa-1017	186	14	find	find	VERB
ijassa-1017	186	15	the	the	DET
ijassa-1017	186	16	solution	solution	NOUN
ijassa-1017	186	17	for	for	ADP
ijassa-1017	186	18	(	(	PUNCT
ijassa-1017	186	19	3	3	NUM
ijassa-1017	186	20	)	)	PUNCT
ijassa-1017	186	21	and	and	CCONJ
ijassa-1017	186	22	analyze	analyze	VERB
ijassa-1017	186	23	the	the	DET
ijassa-1017	186	24	obtained	obtain	VERB
ijassa-1017	186	25	solutions	solution	NOUN
ijassa-1017	186	26	.	.	PUNCT
ijassa-1017	187	1	then	then	ADV
ijassa-1017	187	2	,	,	PUNCT
ijassa-1017	187	3	on	on	ADP
ijassa-1017	187	4	the	the	DET
ijassa-1017	187	5	basis	basis	NOUN
ijassa-1017	187	6	of	of	ADP
ijassa-1017	187	7	the	the	DET
ijassa-1017	187	8	obtained	obtain	VERB
ijassa-1017	187	9	solutions	solution	NOUN
ijassa-1017	187	10	,	,	PUNCT
ijassa-1017	187	11	the	the	DET
ijassa-1017	187	12	choice	choice	NOUN
ijassa-1017	187	13	of	of	ADP
ijassa-1017	187	14	the	the	DET
ijassa-1017	187	15	management	management	NOUN
ijassa-1017	187	16	decision	decision	NOUN
ijassa-1017	187	17	is	be	AUX
ijassa-1017	187	18	made	make	VERB
ijassa-1017	187	19	.	.	PUNCT
ijassa-1017	188	1	below	below	ADV
ijassa-1017	188	2	is	be	AUX
ijassa-1017	188	3	a	a	DET
ijassa-1017	188	4	brief	brief	ADJ
ijassa-1017	188	5	description	description	NOUN
ijassa-1017	188	6	of	of	ADP
ijassa-1017	188	7	the	the	DET
ijassa-1017	188	8	obtained	obtain	VERB
ijassa-1017	188	9	solutions	solution	NOUN
ijassa-1017	188	10	for	for	ADP
ijassa-1017	188	11	parametrization	parametrization	NOUN
ijassa-1017	188	12	problems	problem	NOUN
ijassa-1017	188	13	and	and	CCONJ
ijassa-1017	188	14	solving	solve	VERB
ijassa-1017	188	15	differential	differential	ADJ
ijassa-1017	188	16	equations	equation	NOUN
ijassa-1017	188	17	using	use	VERB
ijassa-1017	188	18	real	real	ADJ
ijassa-1017	188	19	data	datum	NOUN
ijassa-1017	188	20	of	of	ADP
ijassa-1017	188	21	two	two	NUM
ijassa-1017	188	22	facilities	facility	NOUN
ijassa-1017	188	23	.	.	PUNCT
ijassa-1017	189	1	outstanding	outstanding	ADJ
ijassa-1017	189	2	mathematician	mathematician	PROPN
ijassa-1017	189	3	a.n	a.n	PROPN
ijassa-1017	189	4	.	.	PROPN
ijassa-1017	189	5	kolmogorov	kolmogorov	PROPN
ijassa-1017	190	1	[	[	X
ijassa-1017	190	2	3,7	3,7	NUM
ijassa-1017	190	3	]	]	PUNCT
ijassa-1017	190	4	proposed	propose	VERB
ijassa-1017	190	5	to	to	PART
ijassa-1017	190	6	abandon	abandon	VERB
ijassa-1017	190	7	the	the	DET
ijassa-1017	190	8	explicit	explicit	ADJ
ijassa-1017	190	9	form	form	NOUN
ijassa-1017	190	10	of	of	ADP
ijassa-1017	190	11	functions	function	NOUN
ijassa-1017	190	12	in	in	ADP
ijassa-1017	190	13	the	the	DET
ijassa-1017	190	14	right	right	ADJ
ijassa-1017	190	15	-	-	PUNCT
ijassa-1017	190	16	hand	hand	NOUN
ijassa-1017	190	17	side	side	NOUN
ijassa-1017	190	18	of	of	ADP
ijassa-1017	190	19	equation	equation	NOUN
ijassa-1017	190	20	(	(	PUNCT
ijassa-1017	190	21	3	3	NUM
ijassa-1017	190	22	)	)	PUNCT
ijassa-1017	190	23	in	in	ADP
ijassa-1017	190	24	models	model	NOUN
ijassa-1017	190	25	such	such	ADJ
ijassa-1017	190	26	as	as	ADP
ijassa-1017	190	27	epidemiological	epidemiological	ADJ
ijassa-1017	190	28	contact	contact	NOUN
ijassa-1017	190	29	processes	process	NOUN
ijassa-1017	190	30	,	,	PUNCT
ijassa-1017	190	31	considering	consider	VERB
ijassa-1017	190	32	only	only	ADV
ijassa-1017	190	33	certain	certain	ADJ
ijassa-1017	190	34	restrictions	restriction	NOUN
ijassa-1017	190	35	on	on	ADP
ijassa-1017	190	36	the	the	DET
ijassa-1017	190	37	form	form	NOUN
ijassa-1017	190	38	of	of	ADP
ijassa-1017	190	39	these	these	DET
ijassa-1017	190	40	functions	function	NOUN
ijassa-1017	190	41	.	.	PUNCT
ijassa-1017	191	1	if	if	SCONJ
ijassa-1017	191	2	we	we	PRON
ijassa-1017	191	3	follow	follow	VERB
ijassa-1017	191	4	the	the	DET
ijassa-1017	191	5	idea	idea	NOUN
ijassa-1017	191	6	proposed	propose	VERB
ijassa-1017	191	7	by	by	ADP
ijassa-1017	191	8	a.n	a.n	PROPN
ijassa-1017	191	9	.	.	PROPN
ijassa-1017	191	10	kolmogorov	kolmogorov	PROPN
ijassa-1017	191	11	,	,	PUNCT
ijassa-1017	191	12	then	then	ADV
ijassa-1017	191	13	neural	neural	ADJ
ijassa-1017	191	14	network	network	NOUN
ijassa-1017	191	15	mapping	mapping	NOUN
ijassa-1017	191	16	models	model	NOUN
ijassa-1017	191	17	are	be	AUX
ijassa-1017	191	18	well	well	ADV
ijassa-1017	191	19	suited	suited	ADJ
ijassa-1017	191	20	here	here	ADV
ijassa-1017	191	21	.	.	PUNCT
ijassa-1017	192	1	in	in	ADP
ijassa-1017	192	2	this	this	DET
ijassa-1017	192	3	case	case	NOUN
ijassa-1017	192	4	,	,	PUNCT
ijassa-1017	192	5	for	for	ADP
ijassa-1017	192	6	a	a	DET
ijassa-1017	192	7	system	system	NOUN
ijassa-1017	192	8	of	of	ADP
ijassa-1017	192	9	differential	differential	ADJ
ijassa-1017	192	10	equations	equation	NOUN
ijassa-1017	192	11	written	write	VERB
ijassa-1017	192	12	in	in	ADP
ijassa-1017	192	13	general	general	ADJ
ijassa-1017	192	14	form	form	NOUN
ijassa-1017	192	15	as	as	ADP
ijassa-1017	192	16	development	development	NOUN
ijassa-1017	192	17	of	of	ADP
ijassa-1017	192	18	unified	unified	ADJ
ijassa-1017	192	19	approaches	approach	NOUN
ijassa-1017	192	20	to	to	ADP
ijassa-1017	192	21	building	build	VERB
ijassa-1017	192	22	neural	neural	ADJ
ijassa-1017	192	23	network	network	NOUN
ijassa-1017	192	24	123	123	NUM
ijassa-1017	192	25	copyright	copyright	NOUN
ijassa-1017	192	26	©	©	PROPN
ijassa-1017	192	27	2020	2020	NUM
ijassa-1017	192	28	assa	assa	NOUN
ijassa-1017	192	29	.	.	PUNCT
ijassa-1017	193	1	adv	adv	PROPN
ijassa-1017	193	2	.	.	PUNCT
ijassa-1017	194	1	in	in	ADP
ijassa-1017	194	2	systems	system	NOUN
ijassa-1017	194	3	science	science	NOUN
ijassa-1017	194	4	and	and	CCONJ
ijassa-1017	194	5	appl	appl	NOUN
ijassa-1017	194	6	.	.	PUNCT
ijassa-1017	195	1	(	(	PUNCT
ijassa-1017	195	2	2020	2020	NUM
ijassa-1017	195	3	)	)	PUNCT
ijassa-1017	195	4	,	,	PUNCT
ijassa-1017	195	5	the	the	DET
ijassa-1017	195	6	neural	neural	ADJ
ijassa-1017	195	7	network	network	NOUN
ijassa-1017	195	8	mapping	mapping	NOUN
ijassa-1017	195	9	by	by	ADP
ijassa-1017	195	10	experimental	experimental	ADJ
ijassa-1017	195	11	points	point	NOUN
ijassa-1017	195	12	will	will	AUX
ijassa-1017	195	13	result	result	VERB
ijassa-1017	195	14	in	in	ADP
ijassa-1017	195	15	f	f	PROPN
ijassa-1017	195	16	in	in	ADP
ijassa-1017	195	17	the	the	DET
ijassa-1017	195	18	form	form	NOUN
ijassa-1017	195	19	of	of	ADP
ijassa-1017	195	20	an	an	DET
ijassa-1017	195	21	expansion	expansion	NOUN
ijassa-1017	195	22	in	in	ADP
ijassa-1017	195	23	terms	term	NOUN
ijassa-1017	195	24	of	of	ADP
ijassa-1017	195	25	the	the	DET
ijassa-1017	195	26	given	give	VERB
ijassa-1017	195	27	basic	basic	ADJ
ijassa-1017	195	28	functions	function	NOUN
ijassa-1017	195	29	of	of	ADP
ijassa-1017	195	30	the	the	DET
ijassa-1017	195	31	neural	neural	ADJ
ijassa-1017	195	32	network	network	NOUN
ijassa-1017	195	33	(	(	PUNCT
ijassa-1017	195	34	exponential	exponential	NOUN
ijassa-1017	195	35	,	,	PUNCT
ijassa-1017	195	36	hyperbolic	hyperbolic	ADJ
ijassa-1017	195	37	tangent	tangent	NOUN
ijassa-1017	195	38	,	,	PUNCT
ijassa-1017	195	39	identity	identity	NOUN
ijassa-1017	195	40	function	function	NOUN
ijassa-1017	195	41	)	)	PUNCT
ijassa-1017	195	42	.	.	PUNCT
ijassa-1017	196	1	the	the	DET
ijassa-1017	196	2	results	result	NOUN
ijassa-1017	196	3	of	of	ADP
ijassa-1017	196	4	solving	solve	VERB
ijassa-1017	196	5	this	this	DET
ijassa-1017	196	6	problem	problem	NOUN
ijassa-1017	196	7	are	be	AUX
ijassa-1017	196	8	provided	provide	VERB
ijassa-1017	196	9	in	in	ADP
ijassa-1017	196	10	the	the	DET
ijassa-1017	196	11	section	section	NOUN
ijassa-1017	196	12	below	below	ADV
ijassa-1017	196	13	.	.	PUNCT
ijassa-1017	197	1	model	model	NOUN
ijassa-1017	197	2	2	2	NUM
ijassa-1017	197	3	results	result	NOUN
ijassa-1017	197	4	when	when	SCONJ
ijassa-1017	197	5	building	building	NOUN
ijassa-1017	197	6	models	model	NOUN
ijassa-1017	197	7	described	describe	VERB
ijassa-1017	197	8	using	use	VERB
ijassa-1017	197	9	a	a	DET
ijassa-1017	197	10	system	system	NOUN
ijassa-1017	197	11	of	of	ADP
ijassa-1017	197	12	differential	differential	ADJ
ijassa-1017	197	13	equations	equation	NOUN
ijassa-1017	197	14	in	in	ADP
ijassa-1017	197	15	the	the	DET
ijassa-1017	197	16	form	form	NOUN
ijassa-1017	197	17	of	of	ADP
ijassa-1017	197	18	(	(	PUNCT
ijassa-1017	197	19	3	3	NUM
ijassa-1017	197	20	)	)	PUNCT
ijassa-1017	197	21	based	base	VERB
ijassa-1017	197	22	on	on	ADP
ijassa-1017	197	23	observational	observational	ADJ
ijassa-1017	197	24	data	datum	NOUN
ijassa-1017	197	25	{	{	PUNCT
ijassa-1017	197	26	n1(t)},{n2(t)},{n3(t	n1(t)},{n2(t)},{n3(t	VERB
ijassa-1017	197	27	)	)	PUNCT
ijassa-1017	197	28	}	}	PUNCT
ijassa-1017	197	29	,	,	PUNCT
ijassa-1017	197	30	the	the	DET
ijassa-1017	197	31	parameterization	parameterization	NOUN
ijassa-1017	197	32	problem	problem	NOUN
ijassa-1017	197	33	was	be	AUX
ijassa-1017	197	34	solved	solve	VERB
ijassa-1017	197	35	.	.	PUNCT
ijassa-1017	198	1	taking	take	VERB
ijassa-1017	198	2	into	into	ADP
ijassa-1017	198	3	account	account	NOUN
ijassa-1017	198	4	the	the	DET
ijassa-1017	198	5	stationarity	stationarity	NOUN
ijassa-1017	198	6	of	of	ADP
ijassa-1017	198	7	the	the	DET
ijassa-1017	198	8	transformed	transform	VERB
ijassa-1017	198	9	series	series	NOUN
ijassa-1017	198	10	,	,	PUNCT
ijassa-1017	198	11	f(t	f(t	PROPN
ijassa-1017	198	12	)	)	PUNCT
ijassa-1017	198	13	was	be	AUX
ijassa-1017	198	14	excluded	exclude	VERB
ijassa-1017	198	15	from	from	ADP
ijassa-1017	198	16	the	the	DET
ijassa-1017	198	17	right	right	ADJ
ijassa-1017	198	18	-	-	PUNCT
ijassa-1017	198	19	hand	hand	NOUN
ijassa-1017	198	20	side	side	NOUN
ijassa-1017	198	21	of	of	ADP
ijassa-1017	198	22	(	(	PUNCT
ijassa-1017	198	23	1	1	NUM
ijassa-1017	198	24	)	)	PUNCT
ijassa-1017	198	25	.	.	PUNCT
ijassa-1017	199	1	numerous	numerous	ADJ
ijassa-1017	199	2	numerical	numerical	ADJ
ijassa-1017	199	3	experiments	experiment	NOUN
ijassa-1017	199	4	have	have	AUX
ijassa-1017	199	5	been	be	AUX
ijassa-1017	199	6	performed	perform	VERB
ijassa-1017	199	7	.	.	PUNCT
ijassa-1017	200	1	as	as	ADP
ijassa-1017	200	2	a	a	DET
ijassa-1017	200	3	result	result	NOUN
ijassa-1017	200	4	of	of	ADP
ijassa-1017	200	5	experiments	experiment	NOUN
ijassa-1017	200	6	on	on	ADP
ijassa-1017	200	7	the	the	DET
ijassa-1017	200	8	se	se	PROPN
ijassa-1017	200	9	data	data	PROPN
ijassa-1017	200	10	,	,	PUNCT
ijassa-1017	200	11	the	the	DET
ijassa-1017	200	12	following	follow	VERB
ijassa-1017	200	13	models	model	NOUN
ijassa-1017	200	14	were	be	AUX
ijassa-1017	200	15	built	build	VERB
ijassa-1017	200	16	:	:	PUNCT
ijassa-1017	200	17	the	the	DET
ijassa-1017	200	18	locations	location	NOUN
ijassa-1017	200	19	of	of	ADP
ijassa-1017	200	20	the	the	DET
ijassa-1017	200	21	trajectories	trajectory	NOUN
ijassa-1017	200	22	in	in	ADP
ijassa-1017	200	23	the	the	DET
ijassa-1017	200	24	vicinity	vicinity	NOUN
ijassa-1017	200	25	of	of	ADP
ijassa-1017	200	26	the	the	DET
ijassa-1017	200	27	stationary	stationary	ADJ
ijassa-1017	200	28	point	point	NOUN
ijassa-1017	200	29	were	be	AUX
ijassa-1017	200	30	studied	study	VERB
ijassa-1017	200	31	.	.	PUNCT
ijassa-1017	201	1	the	the	DET
ijassa-1017	201	2	roots	root	NOUN
ijassa-1017	201	3	of	of	ADP
ijassa-1017	201	4	the	the	DET
ijassa-1017	201	5	standard	standard	ADJ
ijassa-1017	201	6	equation	equation	NOUN
ijassa-1017	201	7	were	be	AUX
ijassa-1017	201	8	calculated	calculate	VERB
ijassa-1017	201	9	:	:	PUNCT
ijassa-1017	201	10	k1=0,4	k1=0,4	NOUN
ijassa-1017	201	11	-	-	PUNCT
ijassa-1017	201	12	0,3i	0,3i	ADJ
ijassa-1017	201	13	,	,	PUNCT
ijassa-1017	201	14	k2=0,4	k2=0,4	PRON
ijassa-1017	201	15	+	+	ADP
ijassa-1017	201	16	0,3i	0,3i	NUM
ijassa-1017	201	17	the	the	DET
ijassa-1017	201	18	general	general	ADJ
ijassa-1017	201	19	solution	solution	NOUN
ijassa-1017	201	20	of	of	ADP
ijassa-1017	201	21	the	the	DET
ijassa-1017	201	22	system	system	NOUN
ijassa-1017	201	23	is	be	AUX
ijassa-1017	201	24	obtained	obtain	VERB
ijassa-1017	201	25	:	:	PUNCT
ijassa-1017	201	26	the	the	DET
ijassa-1017	201	27	lyapunov	lyapunov	ADJ
ijassa-1017	201	28	stability	stability	NOUN
ijassa-1017	201	29	parameter	parameter	NOUN
ijassa-1017	201	30	has	have	AUX
ijassa-1017	201	31	shown	show	VERB
ijassa-1017	201	32	that	that	SCONJ
ijassa-1017	201	33	the	the	DET
ijassa-1017	201	34	stationary	stationary	ADJ
ijassa-1017	201	35	point	point	NOUN
ijassa-1017	201	36	for	for	ADP
ijassa-1017	201	37	the	the	DET
ijassa-1017	201	38	given	give	VERB
ijassa-1017	201	39	system	system	NOUN
ijassa-1017	201	40	is	be	AUX
ijassa-1017	201	41	unstable	unstable	ADJ
ijassa-1017	201	42	.	.	PUNCT
ijassa-1017	202	1	conclusion	conclusion	NOUN
ijassa-1017	202	2	.	.	PUNCT
ijassa-1017	203	1	all	all	DET
ijassa-1017	203	2	models	model	NOUN
ijassa-1017	203	3	built	build	VERB
ijassa-1017	203	4	using	use	VERB
ijassa-1017	203	5	differential	differential	ADJ
ijassa-1017	203	6	equations	equation	NOUN
ijassa-1017	203	7	,	,	PUNCT
ijassa-1017	203	8	mathematical	mathematical	ADJ
ijassa-1017	203	9	statistics	statistic	NOUN
ijassa-1017	203	10	and	and	CCONJ
ijassa-1017	203	11	neural	neural	ADJ
ijassa-1017	203	12	networks	network	NOUN
ijassa-1017	203	13	have	have	VERB
ijassa-1017	203	14	their	their	PRON
ijassa-1017	203	15	own	own	ADJ
ijassa-1017	203	16	specifics	specific	NOUN
ijassa-1017	203	17	and	and	CCONJ
ijassa-1017	203	18	their	their	PRON
ijassa-1017	203	19	significance	significance	NOUN
ijassa-1017	203	20	in	in	ADP
ijassa-1017	203	21	the	the	DET
ijassa-1017	203	22	analysis	analysis	NOUN
ijassa-1017	203	23	of	of	ADP
ijassa-1017	203	24	system	system	NOUN
ijassa-1017	203	25	dynamics	dynamic	NOUN
ijassa-1017	203	26	.	.	PUNCT
ijassa-1017	204	1	we	we	PRON
ijassa-1017	204	2	believe	believe	VERB
ijassa-1017	204	3	that	that	SCONJ
ijassa-1017	204	4	when	when	SCONJ
ijassa-1017	204	5	solving	solve	VERB
ijassa-1017	204	6	this	this	DET
ijassa-1017	204	7	type	type	NOUN
ijassa-1017	204	8	of	of	ADP
ijassa-1017	204	9	problem	problem	NOUN
ijassa-1017	204	10	,	,	PUNCT
ijassa-1017	204	11	it	it	PRON
ijassa-1017	204	12	is	be	AUX
ijassa-1017	204	13	necessary	necessary	ADJ
ijassa-1017	204	14	to	to	PART
ijassa-1017	204	15	build	build	VERB
ijassa-1017	204	16	models	model	NOUN
ijassa-1017	204	17	using	use	VERB
ijassa-1017	204	18	a	a	DET
ijassa-1017	204	19	combination	combination	NOUN
ijassa-1017	204	20	of	of	ADP
ijassa-1017	204	21	neural	neural	ADJ
ijassa-1017	204	22	network	network	NOUN
ijassa-1017	204	23	models	model	NOUN
ijassa-1017	204	24	together	together	ADV
ijassa-1017	204	25	with	with	ADP
ijassa-1017	204	26	methods	method	NOUN
ijassa-1017	204	27	of	of	ADP
ijassa-1017	204	28	analytical	analytical	ADJ
ijassa-1017	204	29	description	description	NOUN
ijassa-1017	204	30	of	of	ADP
ijassa-1017	204	31	processes	process	NOUN
ijassa-1017	204	32	.	.	PUNCT
ijassa-1017	205	1	neural	neural	ADJ
ijassa-1017	205	2	network	network	NOUN
ijassa-1017	205	3	models	model	NOUN
ijassa-1017	205	4	are	be	AUX
ijassa-1017	205	5	not	not	PART
ijassa-1017	205	6	very	very	ADV
ijassa-1017	205	7	convenient	convenient	ADJ
ijassa-1017	205	8	for	for	ADP
ijassa-1017	205	9	analyzing	analyze	VERB
ijassa-1017	205	10	dynamic	dynamic	ADJ
ijassa-1017	205	11	processes	process	NOUN
ijassa-1017	205	12	.	.	PUNCT
ijassa-1017	206	1	models	model	NOUN
ijassa-1017	206	2	built	build	VERB
ijassa-1017	206	3	using	use	VERB
ijassa-1017	206	4	differential	differential	ADJ
ijassa-1017	206	5	equations	equation	NOUN
ijassa-1017	206	6	(	(	PUNCT
ijassa-1017	206	7	model	model	NOUN
ijassa-1017	206	8	2	2	NUM
ijassa-1017	206	9	)	)	PUNCT
ijassa-1017	206	10	and	and	CCONJ
ijassa-1017	206	11	regression	regression	NOUN
ijassa-1017	206	12	models	model	NOUN
ijassa-1017	206	13	(	(	PUNCT
ijassa-1017	206	14	model	model	NOUN
ijassa-1017	206	15	1	1	NUM
ijassa-1017	206	16	)	)	PUNCT
ijassa-1017	206	17	are	be	AUX
ijassa-1017	206	18	more	more	ADV
ijassa-1017	206	19	suitable	suitable	ADJ
ijassa-1017	206	20	for	for	ADP
ijassa-1017	206	21	analyzing	analyze	VERB
ijassa-1017	206	22	the	the	DET
ijassa-1017	206	23	dynamics	dynamic	NOUN
ijassa-1017	206	24	of	of	ADP
ijassa-1017	206	25	processes	process	NOUN
ijassa-1017	206	26	.	.	PUNCT
ijassa-1017	207	1	however	however	ADV
ijassa-1017	207	2	,	,	PUNCT
ijassa-1017	207	3	neural	neural	ADJ
ijassa-1017	207	4	networks	network	NOUN
ijassa-1017	207	5	are	be	AUX
ijassa-1017	207	6	more	more	ADV
ijassa-1017	207	7	stable	stable	ADJ
ijassa-1017	207	8	for	for	ADP
ijassa-1017	207	9	approximations	approximation	NOUN
ijassa-1017	207	10	with	with	ADP
ijassa-1017	207	11	distorted	distorted	ADJ
ijassa-1017	207	12	data	datum	NOUN
ijassa-1017	207	13	.	.	PUNCT
ijassa-1017	208	1	for	for	ADP
ijassa-1017	208	2	example	example	NOUN
ijassa-1017	208	3	,	,	PUNCT
ijassa-1017	208	4	in	in	ADP
ijassa-1017	208	5	problems	problem	NOUN
ijassa-1017	208	6	of	of	ADP
ijassa-1017	208	7	parametrization	parametrization	NOUN
ijassa-1017	208	8	of	of	ADP
ijassa-1017	208	9	differential	differential	ADJ
ijassa-1017	208	10	equations	equation	NOUN
ijassa-1017	208	11	and	and	CCONJ
ijassa-1017	208	12	in	in	ADP
ijassa-1017	208	13	problems	problem	NOUN
ijassa-1017	208	14	of	of	ADP
ijassa-1017	208	15	finding	find	VERB
ijassa-1017	208	16	approximate	approximate	ADJ
ijassa-1017	208	17	solutions	solution	NOUN
ijassa-1017	208	18	for	for	ADP
ijassa-1017	208	19	differential	differential	ADJ
ijassa-1017	208	20	equations	equation	NOUN
ijassa-1017	208	21	,	,	PUNCT
ijassa-1017	208	22	neural	neural	ADJ
ijassa-1017	208	23	networks	network	NOUN
ijassa-1017	208	24	have	have	AUX
ijassa-1017	208	25	shown	show	VERB
ijassa-1017	208	26	good	good	ADJ
ijassa-1017	208	27	results	result	NOUN
ijassa-1017	208	28	.	.	PUNCT
ijassa-1017	209	1	3	3	X
ijassa-1017	209	2	.	.	X
ijassa-1017	209	3	conclusion	conclusion	NOUN
ijassa-1017	209	4	algorithms	algorithm	NOUN
ijassa-1017	209	5	and	and	CCONJ
ijassa-1017	209	6	approaches	approach	NOUN
ijassa-1017	209	7	for	for	ADP
ijassa-1017	209	8	building	build	VERB
ijassa-1017	209	9	mathematical	mathematical	ADJ
ijassa-1017	209	10	models	model	NOUN
ijassa-1017	209	11	to	to	PART
ijassa-1017	209	12	solve	solve	VERB
ijassa-1017	209	13	the	the	DET
ijassa-1017	209	14	considered	consider	VERB
ijassa-1017	209	15	range	range	NOUN
ijassa-1017	209	16	of	of	ADP
ijassa-1017	209	17	problems	problem	NOUN
ijassa-1017	209	18	using	use	VERB
ijassa-1017	209	19	digital	digital	ADJ
ijassa-1017	209	20	data	datum	NOUN
ijassa-1017	209	21	can	can	AUX
ijassa-1017	209	22	be	be	AUX
ijassa-1017	209	23	unified	unify	VERB
ijassa-1017	209	24	.	.	PUNCT
ijassa-1017	210	1	the	the	DET
ijassa-1017	210	2	analysis	analysis	NOUN
ijassa-1017	210	3	of	of	ADP
ijassa-1017	210	4	the	the	DET
ijassa-1017	210	5	solutions	solution	NOUN
ijassa-1017	210	6	obtained	obtain	VERB
ijassa-1017	210	7	showed	show	VERB
ijassa-1017	210	8	that	that	SCONJ
ijassa-1017	210	9	the	the	DET
ijassa-1017	210	10	conclusions	conclusion	NOUN
ijassa-1017	210	11	drawn	draw	VERB
ijassa-1017	210	12	on	on	ADP
ijassa-1017	210	13	the	the	DET
ijassa-1017	210	14	basis	basis	NOUN
ijassa-1017	210	15	of	of	ADP
ijassa-1017	210	16	the	the	DET
ijassa-1017	210	17	built	build	VERB
ijassa-1017	210	18	mathematical	mathematical	ADJ
ijassa-1017	210	19	models	model	NOUN
ijassa-1017	210	20	and	and	CCONJ
ijassa-1017	210	21	the	the	DET
ijassa-1017	210	22	conclusions	conclusion	NOUN
ijassa-1017	210	23	drawn	draw	VERB
ijassa-1017	210	24	using	use	VERB
ijassa-1017	210	25	the	the	DET
ijassa-1017	210	26	semantic	semantic	ADJ
ijassa-1017	210	27	neural	neural	ADJ
ijassa-1017	210	28	network	network	NOUN
ijassa-1017	210	29	analysis	analysis	NOUN
ijassa-1017	210	30	of	of	ADP
ijassa-1017	210	31	texts	text	NOUN
ijassa-1017	210	32	are	be	AUX
ijassa-1017	210	33	consistent	consistent	ADJ
ijassa-1017	210	34	with	with	ADP
ijassa-1017	210	35	each	each	DET
ijassa-1017	210	36	other	other	ADJ
ijassa-1017	210	37	.	.	PUNCT
ijassa-1017	211	1	therefore	therefore	ADV
ijassa-1017	211	2	,	,	PUNCT
ijassa-1017	211	3	one	one	PRON
ijassa-1017	211	4	can	can	AUX
ijassa-1017	211	5	talk	talk	VERB
ijassa-1017	211	6	about	about	ADP
ijassa-1017	211	7	the	the	DET
ijassa-1017	211	8	positive	positive	ADJ
ijassa-1017	211	9	results	result	NOUN
ijassa-1017	211	10	of	of	ADP
ijassa-1017	211	11	the	the	DET
ijassa-1017	211	12	models	model	NOUN
ijassa-1017	211	13	developed	develop	VERB
ijassa-1017	211	14	.	.	PUNCT
ijassa-1017	212	1	the	the	DET
ijassa-1017	212	2	models	model	NOUN
ijassa-1017	212	3	developed	develop	VERB
ijassa-1017	212	4	can	can	AUX
ijassa-1017	212	5	be	be	AUX
ijassa-1017	212	6	used	use	VERB
ijassa-1017	212	7	in	in	ADP
ijassa-1017	212	8	solving	solve	VERB
ijassa-1017	212	9	managerial	managerial	ADJ
ijassa-1017	212	10	tasks	task	NOUN
ijassa-1017	212	11	,	,	PUNCT
ijassa-1017	212	12	planning	planning	NOUN
ijassa-1017	212	13	and	and	CCONJ
ijassa-1017	212	14	situation	situation	NOUN
ijassa-1017	212	15	prediction	prediction	NOUN
ijassa-1017	212	16	.	.	PUNCT
ijassa-1017	213	1	the	the	DET
ijassa-1017	213	2	main	main	ADJ
ijassa-1017	213	3	conclusions	conclusion	NOUN
ijassa-1017	213	4	of	of	ADP
ijassa-1017	213	5	the	the	DET
ijassa-1017	213	6	solved	solve	VERB
ijassa-1017	213	7	problem	problem	NOUN
ijassa-1017	213	8	are	be	AUX
ijassa-1017	213	9	as	as	SCONJ
ijassa-1017	213	10	follows	follow	VERB
ijassa-1017	213	11	:	:	PUNCT
ijassa-1017	213	12	•	•	SCONJ
ijassa-1017	213	13	the	the	DET
ijassa-1017	213	14	largest	large	ADJ
ijassa-1017	213	15	conflictogenic	conflictogenic	ADJ
ijassa-1017	213	16	zone	zone	NOUN
ijassa-1017	213	17	was	be	AUX
ijassa-1017	213	18	identified	identify	VERB
ijassa-1017	213	19	in	in	ADP
ijassa-1017	213	20	the	the	DET
ijassa-1017	213	21	sec	sec	PROPN
ijassa-1017	213	22	-	-	PUNCT
ijassa-1017	213	23	related	relate	VERB
ijassa-1017	213	24	data	datum	NOUN
ijassa-1017	213	25	set	set	VERB
ijassa-1017	213	26	.	.	PUNCT
ijassa-1017	214	1	the	the	DET
ijassa-1017	214	2	neutral	neutral	ADJ
ijassa-1017	214	3	and	and	CCONJ
ijassa-1017	214	4	positive	positive	ADJ
ijassa-1017	214	5	content	content	NOUN
ijassa-1017	214	6	include	include	VERB
ijassa-1017	214	7	official	official	ADJ
ijassa-1017	214	8	messages	message	NOUN
ijassa-1017	214	9	mainly	mainly	ADV
ijassa-1017	214	10	,	,	PUNCT
ijassa-1017	214	11	which	which	PRON
ijassa-1017	214	12	cause	cause	VERB
ijassa-1017	214	13	strong	strong	ADJ
ijassa-1017	214	14	rejection	rejection	NOUN
ijassa-1017	214	15	of	of	ADP
ijassa-1017	214	16	the	the	DET
ijassa-1017	214	17	residents	resident	NOUN
ijassa-1017	214	18	.	.	PUNCT
ijassa-1017	215	1	the	the	DET
ijassa-1017	215	2	user	user	NOUN
ijassa-1017	215	3	-	-	PUNCT
ijassa-1017	215	4	generated	generate	VERB
ijassa-1017	215	5	content	content	NOUN
ijassa-1017	215	6	is	be	AUX
ijassa-1017	215	7	characterized	characterize	VERB
ijassa-1017	215	8	by	by	ADP
ijassa-1017	215	9	negative	negative	ADJ
ijassa-1017	215	10	evaluativeness	evaluativeness	NOUN
ijassa-1017	215	11	and	and	CCONJ
ijassa-1017	215	12	aggression	aggression	NOUN
ijassa-1017	215	13	,	,	PUNCT
ijassa-1017	215	14	which	which	PRON
ijassa-1017	215	15	makes	make	VERB
ijassa-1017	215	16	it	it	PRON
ijassa-1017	215	17	possible	possible	ADJ
ijassa-1017	215	18	to	to	PART
ijassa-1017	215	19	predict	predict	VERB
ijassa-1017	215	20	further	further	ADJ
ijassa-1017	215	21	escalation	escalation	NOUN
ijassa-1017	215	22	of	of	ADP
ijassa-1017	215	23	the	the	DET
ijassa-1017	215	24	conflict	conflict	NOUN
ijassa-1017	215	25	;	;	PUNCT
ijassa-1017	215	26	•	•	ADP
ijassa-1017	215	27	the	the	DET
ijassa-1017	215	28	nwc	nwc	PROPN
ijassa-1017	215	29	-	-	PUNCT
ijassa-1017	215	30	related	relate	VERB
ijassa-1017	215	31	content	content	NOUN
ijassa-1017	215	32	has	have	VERB
ijassa-1017	215	33	no	no	DET
ijassa-1017	215	34	signs	sign	NOUN
ijassa-1017	215	35	of	of	ADP
ijassa-1017	215	36	conflictogenity	conflictogenity	NOUN
ijassa-1017	215	37	.	.	PUNCT
ijassa-1017	216	1	124	124	NUM
ijassa-1017	216	2	n.	n.	PROPN
ijassa-1017	216	3	gabdrakhmanova	gabdrakhmanova	PROPN
ijassa-1017	216	4	,	,	PUNCT
ijassa-1017	216	5	m.	m.	NOUN
ijassa-1017	216	6	pilgun	pilgun	PROPN
ijassa-1017	216	7	copyright	copyright	NOUN
ijassa-1017	216	8	©	©	PROPN
ijassa-1017	216	9	2020	2020	NUM
ijassa-1017	216	10	assa	assa	NOUN
ijassa-1017	216	11	.	.	PUNCT
ijassa-1017	217	1	adv	adv	PROPN
ijassa-1017	217	2	.	.	PUNCT
ijassa-1017	218	1	in	in	ADP
ijassa-1017	218	2	systems	system	NOUN
ijassa-1017	218	3	science	science	NOUN
ijassa-1017	218	4	and	and	CCONJ
ijassa-1017	218	5	appl	appl	NOUN
ijassa-1017	218	6	.	.	PUNCT
ijassa-1017	219	1	(	(	PUNCT
ijassa-1017	219	2	2020	2020	NUM
ijassa-1017	219	3	)	)	PUNCT
ijassa-1017	219	4	acknowledgements	acknowledgement	NOUN
ijassa-1017	219	5	the	the	DET
ijassa-1017	219	6	work	work	NOUN
ijassa-1017	219	7	was	be	AUX
ijassa-1017	219	8	supported	support	VERB
ijassa-1017	219	9	by	by	ADP
ijassa-1017	219	10	rfbr	rfbr	PROPN
ijassa-1017	219	11	grant	grant	PROPN
ijassa-1017	219	12	19	19	NUM
ijassa-1017	219	13	-	-	PUNCT
ijassa-1017	219	14	08	08	NUM
ijassa-1017	219	15	-	-	PUNCT
ijassa-1017	219	16	00261	00261	NUM
ijassa-1017	219	17	.	.	PUNCT
ijassa-1017	220	1	references	reference	NOUN
ijassa-1017	220	2	1	1	NUM
ijassa-1017	220	3	.	.	PUNCT
ijassa-1017	221	1	arnold	arnold	PROPN
ijassa-1017	221	2	,	,	PUNCT
ijassa-1017	221	3	v.i	v.i	PROPN
ijassa-1017	221	4	.	.	PROPN
ijassa-1017	221	5	(	(	PUNCT
ijassa-1017	221	6	2012	2012	NUM
ijassa-1017	221	7	)	)	PUNCT
ijassa-1017	221	8	geometric	geometric	ADJ
ijassa-1017	221	9	methods	method	NOUN
ijassa-1017	221	10	in	in	ADP
ijassa-1017	221	11	the	the	DET
ijassa-1017	221	12	theory	theory	NOUN
ijassa-1017	221	13	of	of	ADP
ijassa-1017	221	14	ordinary	ordinary	ADJ
ijassa-1017	221	15	differential	differential	ADJ
ijassa-1017	221	16	equations	equation	NOUN
ijassa-1017	221	17	.	.	PUNCT
ijassa-1017	222	1	moscow	moscow	PROPN
ijassa-1017	222	2	:	:	PUNCT
ijassa-1017	222	3	icmmo	icmmo	ADJ
ijassa-1017	222	4	.	.	PUNCT
ijassa-1017	223	1	2	2	X
ijassa-1017	223	2	.	.	X
ijassa-1017	223	3	castillo	castillo	PROPN
ijassa-1017	223	4	-	-	PUNCT
ijassa-1017	223	5	ch´avez	ch´avez	PROPN
ijassa-1017	223	6	,	,	PUNCT
ijassa-1017	223	7	c.	c.	NOUN
ijassa-1017	223	8	,	,	PUNCT
ijassa-1017	223	9	song	song	NOUN
ijassa-1017	223	10	,	,	PUNCT
ijassa-1017	223	11	b.	b.	PROPN
ijassa-1017	223	12	(	(	PUNCT
ijassa-1017	223	13	2003	2003	NUM
ijassa-1017	223	14	)	)	PUNCT
ijassa-1017	223	15	.	.	PUNCT
ijassa-1017	224	1	models	model	NOUN
ijassa-1017	224	2	for	for	ADP
ijassa-1017	224	3	the	the	DET
ijassa-1017	224	4	transmission	transmission	NOUN
ijassa-1017	224	5	dynamics	dynamic	NOUN
ijassa-1017	224	6	of	of	ADP
ijassa-1017	224	7	fanatic	fanatic	ADJ
ijassa-1017	224	8	behaviors	behavior	NOUN
ijassa-1017	224	9	.	.	PUNCT
ijassa-1017	225	1	in	in	ADP
ijassa-1017	225	2	:	:	PUNCT
ijassa-1017	225	3	h.t	h.t	PROPN
ijassa-1017	225	4	.	.	PROPN
ijassa-1017	225	5	banks	bank	NOUN
ijassa-1017	225	6	,	,	PUNCT
ijassa-1017	225	7	c.	c.	PROPN
ijassa-1017	225	8	castillo	castillo	PROPN
ijassa-1017	225	9	-	-	PUNCT
ijassa-1017	225	10	ch´avez	ch´avez	PROPN
ijassa-1017	225	11	(	(	PUNCT
ijassa-1017	225	12	eds	ed	NOUN
ijassa-1017	225	13	.	.	PUNCT
ijassa-1017	225	14	)	)	PUNCT
ijassa-1017	225	15	,	,	PUNCT
ijassa-1017	225	16	bioterrorism	bioterrorism	NOUN
ijassa-1017	225	17	:	:	PUNCT
ijassa-1017	225	18	mathematical	mathematical	ADJ
ijassa-1017	225	19	modeling	modeling	NOUN
ijassa-1017	225	20	applications	application	NOUN
ijassa-1017	225	21	in	in	ADP
ijassa-1017	225	22	homeland	homeland	NOUN
ijassa-1017	225	23	security	security	NOUN
ijassa-1017	225	24	,	,	PUNCT
ijassa-1017	225	25	in	in	ADP
ijassa-1017	225	26	:	:	PUNCT
ijassa-1017	225	27	siam	siam	ADJ
ijassa-1017	225	28	frontiers	frontier	NOUN
ijassa-1017	225	29	in	in	ADP
ijassa-1017	225	30	applied	applied	ADJ
ijassa-1017	225	31	mathematics	mathematic	NOUN
ijassa-1017	225	32	,	,	PUNCT
ijassa-1017	225	33	vol	vol	NOUN
ijassa-1017	225	34	.	.	PROPN
ijassa-1017	225	35	28	28	NUM
ijassa-1017	225	36	,	,	PUNCT
ijassa-1017	225	37	siam	siam	NOUN
ijassa-1017	225	38	,	,	PUNCT
ijassa-1017	225	39	philadelphia	philadelphia	PROPN
ijassa-1017	225	40	,	,	PUNCT
ijassa-1017	225	41	2003	2003	NUM
ijassa-1017	225	42	,	,	PUNCT
ijassa-1017	225	43	155–172	155–172	NUM
ijassa-1017	225	44	.	.	PUNCT
ijassa-1017	226	1	3	3	NUM
ijassa-1017	226	2	.	.	X
ijassa-1017	226	3	gabdrakhmanova	gabdrakhmanova	PROPN
ijassa-1017	226	4	n.	n.	PROPN
ijassa-1017	226	5	(	(	PUNCT
ijassa-1017	226	6	2015	2015	NUM
ijassa-1017	226	7	)	)	PUNCT
ijassa-1017	226	8	.	.	PUNCT
ijassa-1017	227	1	neural	neural	ADJ
ijassa-1017	227	2	network	network	NOUN
ijassa-1017	227	3	models	model	NOUN
ijassa-1017	227	4	for	for	ADP
ijassa-1017	227	5	solving	solve	VERB
ijassa-1017	227	6	management	management	NOUN
ijassa-1017	227	7	problems	problem	NOUN
ijassa-1017	227	8	on	on	ADP
ijassa-1017	227	9	the	the	DET
ijassa-1017	227	10	main	main	ADJ
ijassa-1017	227	11	oil	oil	NOUN
ijassa-1017	227	12	pipeline	pipeline	NOUN
ijassa-1017	227	13	.	.	PUNCT
ijassa-1017	228	1	xvii	xvii	VERB
ijassa-1017	228	2	all	all	PRON
ijassa-1017	228	3	-	-	ADJ
ijassa-1017	228	4	russian	russian	ADJ
ijassa-1017	228	5	scientific	scientific	ADJ
ijassa-1017	228	6	and	and	CCONJ
ijassa-1017	228	7	technical	technical	ADJ
ijassa-1017	228	8	conference	conference	NOUN
ijassa-1017	228	9	"	"	PUNCT
ijassa-1017	228	10	neuroinformatics-2015	neuroinformatics-2015	PROPN
ijassa-1017	228	11	"	"	PUNCT
ijassa-1017	228	12	:	:	PUNCT
ijassa-1017	228	13	collection	collection	NOUN
ijassa-1017	228	14	of	of	ADP
ijassa-1017	228	15	scientific	scientific	ADJ
ijassa-1017	228	16	papers	paper	NOUN
ijassa-1017	228	17	.	.	PUNCT
ijassa-1017	229	1	part	part	NOUN
ijassa-1017	229	2	1	1	NUM
ijassa-1017	229	3	.	.	X
ijassa-1017	229	4	m.	m.	NOUN
ijassa-1017	229	5	:	:	PUNCT
ijassa-1017	229	6	niami	niami	PROPN
ijassa-1017	229	7	mephi	mephi	PROPN
ijassa-1017	229	8	,	,	PUNCT
ijassa-1017	229	9	2015	2015	NUM
ijassa-1017	229	10	.	.	PUNCT
ijassa-1017	230	1	-244	-244	PROPN
ijassa-1017	230	2	,	,	PUNCT
ijassa-1017	230	3	172	172	NUM
ijassa-1017	230	4	-	-	SYM
ijassa-1017	230	5	181	181	NUM
ijassa-1017	230	6	.	.	PUNCT
ijassa-1017	231	1	4	4	NUM
ijassa-1017	231	2	.	.	X
ijassa-1017	231	3	gabdrakhmanova	gabdrakhmanova	PROPN
ijassa-1017	231	4	n.	n.	PROPN
ijassa-1017	231	5	(	(	PUNCT
ijassa-1017	231	6	2018	2018	NUM
ijassa-1017	231	7	)	)	PUNCT
ijassa-1017	231	8	.	.	PUNCT
ijassa-1017	232	1	forecasting	forecasting	NOUN
ijassa-1017	232	2	time	time	NOUN
ijassa-1017	232	3	series	series	PROPN
ijassa-1017	232	4	using	use	VERB
ijassa-1017	232	5	topological	topological	ADJ
ijassa-1017	232	6	data	datum	NOUN
ijassa-1017	232	7	analysis	analysis	NOUN
ijassa-1017	232	8	.	.	PUNCT
ijassa-1017	233	1	in	in	ADP
ijassa-1017	233	2	itise	itise	ADJ
ijassa-1017	233	3	2018	2018	NUM
ijassa-1017	233	4	international	international	ADJ
ijassa-1017	233	5	conference	conference	NOUN
ijassa-1017	233	6	on	on	ADP
ijassa-1017	233	7	time	time	NOUN
ijassa-1017	233	8	series	series	NOUN
ijassa-1017	233	9	and	and	CCONJ
ijassa-1017	233	10	forecasting	forecasting	NOUN
ijassa-1017	233	11	proceedings	proceeding	NOUN
ijassa-1017	233	12	of	of	ADP
ijassa-1017	233	13	papers	paper	NOUN
ijassa-1017	233	14	19	19	NUM
ijassa-1017	233	15	-	-	SYM
ijassa-1017	233	16	21	21	NUM
ijassa-1017	233	17	september	september	PROPN
ijassa-1017	233	18	2018	2018	NUM
ijassa-1017	233	19	granada	granada	PROPN
ijassa-1017	233	20	(	(	PUNCT
ijassa-1017	233	21	spain	spain	PROPN
ijassa-1017	233	22	)	)	PUNCT
ijassa-1017	233	23	,	,	PUNCT
ijassa-1017	233	24	1367	1367	NUM
ijassa-1017	233	25	-	-	SYM
ijassa-1017	233	26	1374	1374	NUM
ijassa-1017	233	27	.	.	PUNCT
ijassa-1017	234	1	5	5	X
ijassa-1017	234	2	.	.	X
ijassa-1017	234	3	kharlamov	kharlamov	PROPN
ijassa-1017	234	4	a	a	X
ijassa-1017	234	5	,	,	PUNCT
ijassa-1017	234	6	a.	a.	PROPN
ijassa-1017	234	7	&	&	CCONJ
ijassa-1017	234	8	pilgun	pilgun	PROPN
ijassa-1017	234	9	m.	m.	PROPN
ijassa-1017	234	10	(	(	PUNCT
ijassa-1017	234	11	eds	ed	NOUN
ijassa-1017	234	12	.	.	PUNCT
ijassa-1017	234	13	)	)	PUNCT
ijassa-1017	234	14	neuroinformatics	neuroinformatic	NOUN
ijassa-1017	234	15	and	and	CCONJ
ijassa-1017	234	16	semantic	semantic	ADJ
ijassa-1017	234	17	representations	representation	NOUN
ijassa-1017	234	18	.	.	PUNCT
ijassa-1017	235	1	theory	theory	NOUN
ijassa-1017	235	2	and	and	CCONJ
ijassa-1017	235	3	applications	application	NOUN
ijassa-1017	235	4	.	.	PUNCT
ijassa-1017	236	1	newcastle	newcastle	PROPN
ijassa-1017	236	2	upon	upon	SCONJ
ijassa-1017	236	3	tyne	tyne	PROPN
ijassa-1017	236	4	:	:	PUNCT
ijassa-1017	236	5	cambridge	cambridge	PROPN
ijassa-1017	236	6	scholars	scholars	PROPN
ijassa-1017	236	7	publishing	publish	VERB
ijassa-1017	236	8	.	.	PUNCT
ijassa-1017	237	1	6	6	X
ijassa-1017	237	2	.	.	X
ijassa-1017	237	3	kharlamov	kharlamov	NOUN
ijassa-1017	237	4	,	,	PUNCT
ijassa-1017	237	5	a.a	a.a	PROPN
ijassa-1017	237	6	.	.	PROPN
ijassa-1017	237	7	&	&	CCONJ
ijassa-1017	237	8	pilgun	pilgun	PROPN
ijassa-1017	237	9	,	,	PUNCT
ijassa-1017	237	10	m.	m.	NOUN
ijassa-1017	237	11	analysis	analysis	NOUN
ijassa-1017	237	12	of	of	ADP
ijassa-1017	237	13	the	the	DET
ijassa-1017	237	14	situation	situation	NOUN
ijassa-1017	237	15	connotation	connotation	NOUN
ijassa-1017	237	16	on	on	ADP
ijassa-1017	237	17	the	the	DET
ijassa-1017	237	18	example	example	NOUN
ijassa-1017	237	19	of	of	ADP
ijassa-1017	237	20	assessing	assess	VERB
ijassa-1017	237	21	the	the	DET
ijassa-1017	237	22	reaction	reaction	NOUN
ijassa-1017	237	23	of	of	ADP
ijassa-1017	237	24	society	society	NOUN
ijassa-1017	237	25	:	:	PUNCT
ijassa-1017	237	26	social	social	ADJ
ijassa-1017	237	27	media	medium	NOUN
ijassa-1017	237	28	data	datum	NOUN
ijassa-1017	237	29	.	.	PUNCT
ijassa-1017	238	1	international	international	ADJ
ijassa-1017	238	2	journal	journal	NOUN
ijassa-1017	238	3	of	of	ADP
ijassa-1017	238	4	future	future	ADJ
ijassa-1017	238	5	generation	generation	NOUN
ijassa-1017	238	6	communication	communication	NOUN
ijassa-1017	238	7	and	and	CCONJ
ijassa-1017	238	8	networking	networking	NOUN
ijassa-1017	238	9	.	.	PUNCT
ijassa-1017	239	1	(	(	PUNCT
ijassa-1017	239	2	ijfgcn	ijfgcn	PROPN
ijassa-1017	239	3	)	)	PUNCT
ijassa-1017	239	4	,	,	PUNCT
ijassa-1017	239	5	issn	issn	PROPN
ijassa-1017	239	6	:	:	PUNCT
ijassa-1017	239	7	2233	2233	NUM
ijassa-1017	239	8	-	-	SYM
ijassa-1017	239	9	7857(print	7857(print	NUM
ijassa-1017	239	10	)	)	PUNCT
ijassa-1017	239	11	;	;	PUNCT
ijassa-1017	239	12	22079645(online	22079645(online	NUM
ijassa-1017	239	13	)	)	PUNCT
ijassa-1017	239	14	,	,	PUNCT
ijassa-1017	239	15	nadia	nadia	PROPN
ijassa-1017	239	16	,	,	PUNCT
ijassa-1017	239	17	(	(	PUNCT
ijassa-1017	239	18	2020	2020	NUM
ijassa-1017	239	19	)	)	PUNCT
ijassa-1017	239	20	,	,	PUNCT
ijassa-1017	239	21	vol	vol	NOUN
ijassa-1017	239	22	.	.	PROPN
ijassa-1017	239	23	13	13	NUM
ijassa-1017	239	24	,	,	PUNCT
ijassa-1017	239	25	no	no	INTJ
ijassa-1017	239	26	.	.	NOUN
ijassa-1017	239	27	3	3	NUM
ijassa-1017	239	28	,	,	PUNCT
ijassa-1017	239	29	37	37	NUM
ijassa-1017	239	30	-	-	SYM
ijassa-1017	239	31	44	44	NUM
ijassa-1017	239	32	.	.	PUNCT
ijassa-1017	240	1	doi	doi	PROPN
ijassa-1017	240	2	10.33832	10.33832	NUM
ijassa-1017	240	3	/	/	SYM
ijassa-1017	240	4	ijfgcn.2020.13.3.04	ijfgcn.2020.13.3.04	NOUN
ijassa-1017	240	5	.	.	PUNCT
ijassa-1017	241	1	7	7	X
ijassa-1017	241	2	.	.	NUM
ijassa-1017	241	3	kolmogorov	kolmogorov	PROPN
ijassa-1017	241	4	,	,	PUNCT
ijassa-1017	241	5	a.	a.	NOUN
ijassa-1017	241	6	n.	n.	PROPN
ijassa-1017	241	7	(	(	PUNCT
ijassa-1017	241	8	1972	1972	NUM
ijassa-1017	241	9	)	)	PUNCT
ijassa-1017	241	10	.	.	PUNCT
ijassa-1017	242	1	qualitative	qualitative	ADJ
ijassa-1017	242	2	research	research	NOUN
ijassa-1017	242	3	of	of	ADP
ijassa-1017	242	4	population	population	NOUN
ijassa-1017	242	5	dynamics	dynamic	NOUN
ijassa-1017	242	6	models	model	NOUN
ijassa-1017	242	7	.	.	PUNCT
ijassa-1017	243	1	problems	problem	NOUN
ijassa-1017	243	2	of	of	ADP
ijassa-1017	243	3	cybernetics	cybernetic	NOUN
ijassa-1017	243	4	.	.	PUNCT
ijassa-1017	244	1	issue	issue	NOUN
ijassa-1017	244	2	25	25	NUM
ijassa-1017	244	3	.	.	NOUN
ijassa-1017	244	4	100	100	NUM
ijassa-1017	244	5	-	-	SYM
ijassa-1017	244	6	106	106	NUM
ijassa-1017	244	7	.	.	PUNCT
ijassa-1017	245	1	1	1	NUM
ijassa-1017	245	2	.	.	X
ijassa-1017	245	3	introduction	introduction	NOUN
ijassa-1017	245	4	1.1	1.1	NUM
ijassa-1017	245	5	.	.	PUNCT
ijassa-1017	246	1	data	datum	NOUN
ijassa-1017	246	2	1.2	1.2	NUM
ijassa-1017	246	3	.	.	PUNCT
ijassa-1017	247	1	method	method	PROPN
ijassa-1017	247	2	2	2	NUM
ijassa-1017	247	3	.	.	NOUN
ijassa-1017	247	4	results	result	NOUN
ijassa-1017	247	5	and	and	CCONJ
ijassa-1017	247	6	discussion	discussion	NOUN
ijassa-1017	247	7	2.1	2.1	NUM
ijassa-1017	247	8	.	.	PUNCT
ijassa-1017	248	1	semantic	semantic	ADJ
ijassa-1017	248	2	neural	neural	ADJ
ijassa-1017	248	3	network	network	NOUN
ijassa-1017	248	4	model	model	NOUN
ijassa-1017	248	5	3	3	NUM
ijassa-1017	248	6	.	.	PUNCT
ijassa-1017	248	7	conclusion	conclusion	NOUN
ijassa-1017	248	8	acknowledgements	acknowledgement	NOUN