id	sid	tid	token	lemma	pos
cana-3335	1	1	communications	communication	NOUN
cana-3335	1	2	on	on	ADP
cana-3335	1	3	applied	apply	VERB
cana-3335	1	4	nonlinear	nonlinear	ADJ
cana-3335	1	5	analysis	analysis	NOUN
cana-3335	1	6	issn	issn	NOUN
cana-3335	1	7	:	:	PUNCT
cana-3335	1	8	1074	1074	NUM
cana-3335	1	9	-	-	PUNCT
cana-3335	1	10	133x	133x	NUM
cana-3335	1	11	vol	vol	NOUN
cana-3335	1	12	32	32	NUM
cana-3335	1	13	no	no	NOUN
cana-3335	1	14	.	.	PUNCT
cana-3335	2	1	7s	7	NOUN
cana-3335	2	2	(	(	PUNCT
cana-3335	2	3	2025	2025	NUM
cana-3335	2	4	)	)	PUNCT
cana-3335	2	5	13	13	NUM
cana-3335	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3335	2	7	effective	effective	ADJ
cana-3335	2	8	information	information	NOUN
cana-3335	2	9	and	and	CCONJ
cana-3335	2	10	extraction	extraction	NOUN
cana-3335	2	11	an	an	DET
cana-3335	2	12	improved	improved	ADJ
cana-3335	2	13	semantic	semantic	ADJ
cana-3335	2	14	pattern	pattern	NOUN
cana-3335	2	15	based	base	VERB
cana-3335	2	16	approach	approach	NOUN
cana-3335	2	17	in	in	ADP
cana-3335	2	18	lda	lda	PROPN
cana-3335	2	19	model	model	NOUN
cana-3335	2	20	using	use	VERB
cana-3335	2	21	bigdata	bigdata	PROPN
cana-3335	2	22	dr	dr	PROPN
cana-3335	2	23	.	.	PROPN
cana-3335	2	24	k.	k.	PROPN
cana-3335	2	25	sundravadivelu1	sundravadivelu1	PROPN
cana-3335	3	1	1	1	NUM
cana-3335	3	2	assistant	assistant	NOUN
cana-3335	3	3	professor	professor	NOUN
cana-3335	3	4	,	,	PUNCT
cana-3335	3	5	department	department	NOUN
cana-3335	3	6	of	of	ADP
cana-3335	3	7	computer	computer	NOUN
cana-3335	3	8	science	science	NOUN
cana-3335	3	9	,	,	PUNCT
cana-3335	3	10	madurai	madurai	NOUN
cana-3335	3	11	kamaraj	kamaraj	ADJ
cana-3335	3	12	university	university	NOUN
cana-3335	3	13	,	,	PUNCT
cana-3335	3	14	madurai	madurai	NOUN
cana-3335	3	15	,	,	PUNCT
cana-3335	3	16	tamil	tamil	PROPN
cana-3335	3	17	nadu	nadu	PROPN
cana-3335	3	18	,	,	PUNCT
cana-3335	3	19	india	india	PROPN
cana-3335	3	20	.	.	PUNCT
cana-3335	3	21	email	email	NOUN
cana-3335	3	22	:	:	PUNCT
cana-3335	3	23	svadivelu2021@gmail.com1	svadivelu2021@gmail.com1	PROPN
cana-3335	3	24	article	article	NOUN
cana-3335	3	25	history	history	NOUN
cana-3335	3	26	:	:	PUNCT
cana-3335	3	27	received	receive	VERB
cana-3335	3	28	:	:	PUNCT
cana-3335	3	29	25	25	NUM
cana-3335	3	30	-	-	SYM
cana-3335	3	31	10	10	NUM
cana-3335	3	32	-	-	PUNCT
cana-3335	3	33	2024	2024	NUM
cana-3335	3	34	revised	revise	VERB
cana-3335	3	35	:	:	PUNCT
cana-3335	3	36	03	03	NUM
cana-3335	3	37	-	-	SYM
cana-3335	3	38	12	12	NUM
cana-3335	3	39	-	-	PUNCT
cana-3335	3	40	2024	2024	NUM
cana-3335	3	41	accepted	accept	VERB
cana-3335	3	42	:	:	PUNCT
cana-3335	3	43	12	12	NUM
cana-3335	3	44	-	-	SYM
cana-3335	3	45	12	12	NUM
cana-3335	3	46	-	-	PUNCT
cana-3335	3	47	2024	2024	NUM
cana-3335	3	48	abstract	abstract	NOUN
cana-3335	3	49	:	:	PUNCT
cana-3335	3	50	big	big	ADJ
cana-3335	3	51	text	text	NOUN
cana-3335	3	52	data	datum	NOUN
cana-3335	3	53	content	content	NOUN
cana-3335	3	54	is	be	AUX
cana-3335	3	55	produced	produce	VERB
cana-3335	3	56	by	by	ADP
cana-3335	3	57	more	more	ADJ
cana-3335	3	58	than	than	ADP
cana-3335	3	59	ninety	ninety	NUM
cana-3335	3	60	percent	percent	NOUN
cana-3335	3	61	of	of	ADP
cana-3335	3	62	online	online	ADJ
cana-3335	3	63	sources	source	NOUN
cana-3335	3	64	.	.	PUNCT
cana-3335	4	1	the	the	DET
cana-3335	4	2	data	datum	NOUN
cana-3335	4	3	occurs	occur	VERB
cana-3335	4	4	primarily	primarily	ADV
cana-3335	4	5	in	in	ADP
cana-3335	4	6	two	two	NUM
cana-3335	4	7	forms	form	NOUN
cana-3335	4	8	,	,	PUNCT
cana-3335	4	9	structured	structured	ADJ
cana-3335	4	10	and	and	CCONJ
cana-3335	4	11	unstructured	unstructure	VERB
cana-3335	4	12	,	,	PUNCT
cana-3335	4	13	depending	depend	VERB
cana-3335	4	14	on	on	ADP
cana-3335	4	15	the	the	DET
cana-3335	4	16	representation	representation	NOUN
cana-3335	4	17	schemes	scheme	NOUN
cana-3335	4	18	underlying	underlie	VERB
cana-3335	4	19	the	the	DET
cana-3335	4	20	devices	device	NOUN
cana-3335	4	21	or	or	CCONJ
cana-3335	4	22	platforms	platform	NOUN
cana-3335	4	23	that	that	PRON
cana-3335	4	24	generate	generate	VERB
cana-3335	4	25	them	they	PRON
cana-3335	4	26	.	.	PUNCT
cana-3335	5	1	the	the	DET
cana-3335	5	2	focus	focus	NOUN
cana-3335	5	3	of	of	ADP
cana-3335	5	4	this	this	DET
cana-3335	5	5	research	research	NOUN
cana-3335	5	6	is	be	AUX
cana-3335	5	7	on	on	ADP
cana-3335	5	8	the	the	DET
cana-3335	5	9	unstructured	unstructured	ADJ
cana-3335	5	10	text	text	NOUN
cana-3335	5	11	data	datum	NOUN
cana-3335	5	12	,	,	PUNCT
cana-3335	5	13	as	as	SCONJ
cana-3335	5	14	it	it	PRON
cana-3335	5	15	provides	provide	VERB
cana-3335	5	16	for	for	ADP
cana-3335	5	17	unforeseen	unforeseen	ADJ
cana-3335	5	18	opportunities	opportunity	NOUN
cana-3335	5	19	in	in	ADP
cana-3335	5	20	decision	decision	NOUN
cana-3335	5	21	-	-	PUNCT
cana-3335	5	22	making	make	VERB
cana-3335	5	23	tasks	task	NOUN
cana-3335	5	24	and	and	CCONJ
cana-3335	5	25	wider	wide	ADJ
cana-3335	5	26	scope	scope	NOUN
cana-3335	5	27	for	for	ADP
cana-3335	5	28	analytics	analytic	NOUN
cana-3335	5	29	.	.	PUNCT
cana-3335	6	1	the	the	DET
cana-3335	6	2	proposed	propose	VERB
cana-3335	6	3	work	work	NOUN
cana-3335	6	4	attempts	attempt	VERB
cana-3335	6	5	to	to	PART
cana-3335	6	6	mitigate	mitigate	VERB
cana-3335	6	7	the	the	DET
cana-3335	6	8	complexity	complexity	NOUN
cana-3335	6	9	by	by	ADP
cana-3335	6	10	combining	combine	VERB
cana-3335	6	11	semantic	semantic	ADJ
cana-3335	6	12	analysis	analysis	NOUN
cana-3335	6	13	with	with	ADP
cana-3335	6	14	content	content	NOUN
cana-3335	6	15	modelling	modelling	NOUN
cana-3335	6	16	.	.	PUNCT
cana-3335	7	1	to	to	PART
cana-3335	7	2	achieve	achieve	VERB
cana-3335	7	3	the	the	DET
cana-3335	7	4	data	datum	NOUN
cana-3335	7	5	model	model	NOUN
cana-3335	7	6	,	,	PUNCT
cana-3335	7	7	latent	latent	ADJ
cana-3335	7	8	drichlet	drichlet	NOUN
cana-3335	7	9	allocation	allocation	NOUN
cana-3335	7	10	topic	topic	NOUN
cana-3335	7	11	modelling	modelling	NOUN
cana-3335	7	12	technique	technique	NOUN
cana-3335	7	13	is	be	AUX
cana-3335	7	14	improved	improve	VERB
cana-3335	7	15	using	use	VERB
cana-3335	7	16	frequent	frequent	ADJ
cana-3335	7	17	sequential	sequential	ADJ
cana-3335	7	18	pattern	pattern	NOUN
cana-3335	7	19	mining	mining	NOUN
cana-3335	7	20	algorithm	algorithm	NOUN
cana-3335	7	21	.	.	PUNCT
cana-3335	8	1	hierarchical	hierarchical	ADJ
cana-3335	8	2	topic	topic	NOUN
cana-3335	8	3	clusters	cluster	NOUN
cana-3335	8	4	in	in	ADP
cana-3335	8	5	documents	document	NOUN
cana-3335	8	6	are	be	AUX
cana-3335	8	7	viable	viable	ADJ
cana-3335	8	8	to	to	PART
cana-3335	8	9	be	be	AUX
cana-3335	8	10	extracted	extract	VERB
cana-3335	8	11	with	with	ADP
cana-3335	8	12	the	the	DET
cana-3335	8	13	help	help	NOUN
cana-3335	8	14	of	of	ADP
cana-3335	8	15	lda	lda	NOUN
cana-3335	8	16	when	when	SCONJ
cana-3335	8	17	word	word	NOUN
cana-3335	8	18	associations	association	NOUN
cana-3335	8	19	are	be	AUX
cana-3335	8	20	modelled	model	VERB
cana-3335	8	21	using	use	VERB
cana-3335	8	22	frequent	frequent	ADJ
cana-3335	8	23	and	and	CCONJ
cana-3335	8	24	sequential	sequential	ADJ
cana-3335	8	25	patterns	pattern	NOUN
cana-3335	8	26	.	.	PUNCT
cana-3335	9	1	the	the	DET
cana-3335	9	2	semantic	semantic	ADJ
cana-3335	9	3	patterns	pattern	NOUN
cana-3335	9	4	obtained	obtain	VERB
cana-3335	9	5	from	from	ADP
cana-3335	9	6	such	such	ADJ
cana-3335	9	7	processes	process	NOUN
cana-3335	9	8	are	be	AUX
cana-3335	9	9	used	use	VERB
cana-3335	9	10	for	for	ADP
cana-3335	9	11	knowledge	knowledge	NOUN
cana-3335	9	12	discovery	discovery	NOUN
cana-3335	9	13	.	.	PUNCT
cana-3335	10	1	this	this	DET
cana-3335	10	2	knowledge	knowledge	NOUN
cana-3335	10	3	can	can	AUX
cana-3335	10	4	be	be	AUX
cana-3335	10	5	used	use	VERB
cana-3335	10	6	for	for	ADP
cana-3335	10	7	other	other	ADJ
cana-3335	10	8	similar	similar	ADJ
cana-3335	10	9	mining	mining	NOUN
cana-3335	10	10	tasks	task	NOUN
cana-3335	10	11	such	such	ADJ
cana-3335	10	12	as	as	ADP
cana-3335	10	13	classification	classification	NOUN
cana-3335	10	14	,	,	PUNCT
cana-3335	10	15	clustering	clustering	NOUN
cana-3335	10	16	or	or	CCONJ
cana-3335	10	17	information	information	NOUN
cana-3335	10	18	extraction	extraction	NOUN
cana-3335	10	19	.	.	PUNCT
cana-3335	11	1	this	this	DET
cana-3335	11	2	study	study	NOUN
cana-3335	11	3	has	have	VERB
cana-3335	11	4	four	four	NUM
cana-3335	11	5	primary	primary	ADJ
cana-3335	11	6	contributions	contribution	NOUN
cana-3335	11	7	such	such	ADJ
cana-3335	11	8	as	as	ADP
cana-3335	11	9	,	,	PUNCT
cana-3335	11	10	to	to	PART
cana-3335	11	11	uncover	uncover	VERB
cana-3335	11	12	patterns	pattern	NOUN
cana-3335	11	13	in	in	ADP
cana-3335	11	14	unstructured	unstructured	ADJ
cana-3335	11	15	text	text	NOUN
cana-3335	11	16	content	content	NOUN
cana-3335	11	17	,	,	PUNCT
cana-3335	11	18	semantic	semantic	ADJ
cana-3335	11	19	information	information	NOUN
cana-3335	11	20	extraction	extraction	NOUN
cana-3335	11	21	,	,	PUNCT
cana-3335	11	22	pattern	pattern	NOUN
cana-3335	11	23	improvements	improvement	NOUN
cana-3335	11	24	,	,	PUNCT
cana-3335	11	25	topic	topic	NOUN
cana-3335	11	26	modelling	modelling	NOUN
cana-3335	11	27	,	,	PUNCT
cana-3335	11	28	and	and	CCONJ
cana-3335	11	29	cluster	cluster	NOUN
cana-3335	11	30	assignments	assignment	NOUN
cana-3335	11	31	.	.	PUNCT
cana-3335	12	1	the	the	DET
cana-3335	12	2	proposed	propose	VERB
cana-3335	12	3	model	model	NOUN
cana-3335	12	4	is	be	AUX
cana-3335	12	5	compared	compare	VERB
cana-3335	12	6	with	with	ADP
cana-3335	12	7	that	that	PRON
cana-3335	12	8	of	of	ADP
cana-3335	12	9	the	the	DET
cana-3335	12	10	three	three	NUM
cana-3335	12	11	other	other	ADJ
cana-3335	12	12	existing	exist	VERB
cana-3335	12	13	alternatives	alternative	NOUN
cana-3335	12	14	in	in	ADP
cana-3335	12	15	this	this	DET
cana-3335	12	16	regard	regard	NOUN
cana-3335	12	17	,	,	PUNCT
cana-3335	12	18	slda	slda	ADJ
cana-3335	12	19	(	(	PUNCT
cana-3335	12	20	sentiment	sentiment	NOUN
cana-3335	12	21	lda	lda	PROPN
cana-3335	12	22	)	)	PUNCT
cana-3335	12	23	,	,	PUNCT
cana-3335	12	24	hme	hme	PROPN
cana-3335	12	25	-	-	PUNCT
cana-3335	12	26	lda	lda	PROPN
cana-3335	12	27	(	(	PUNCT
cana-3335	12	28	hierarchical	hierarchical	ADJ
cana-3335	12	29	clustering	clustering	ADJ
cana-3335	12	30	max	max	PROPN
cana-3335	12	31	-	-	PUNCT
cana-3335	12	32	ent	ent	NOUN
cana-3335	12	33	)	)	PUNCT
cana-3335	12	34	and	and	CCONJ
cana-3335	12	35	fp	fp	PROPN
cana-3335	12	36	-	-	PUNCT
cana-3335	12	37	lda	lda	ADJ
cana-3335	12	38	(	(	PUNCT
cana-3335	12	39	frequent	frequent	ADJ
cana-3335	12	40	pattern	pattern	NOUN
cana-3335	12	41	)	)	PUNCT
cana-3335	12	42	.	.	PUNCT
cana-3335	13	1	the	the	DET
cana-3335	13	2	experimental	experimental	ADJ
cana-3335	13	3	results	result	NOUN
cana-3335	13	4	prove	prove	VERB
cana-3335	13	5	that	that	SCONJ
cana-3335	13	6	the	the	DET
cana-3335	13	7	proposed	propose	VERB
cana-3335	13	8	model	model	NOUN
cana-3335	13	9	outperformed	outperform	VERB
cana-3335	13	10	existing	exist	VERB
cana-3335	13	11	models	model	NOUN
cana-3335	13	12	with	with	ADP
cana-3335	13	13	a	a	DET
cana-3335	13	14	considerable	considerable	ADJ
cana-3335	13	15	margin	margin	NOUN
cana-3335	13	16	.	.	PUNCT
cana-3335	14	1	keywords	keyword	NOUN
cana-3335	14	2	:	:	PUNCT
cana-3335	14	3	pattern	pattern	NOUN
cana-3335	14	4	mining	mining	NOUN
cana-3335	14	5	,	,	PUNCT
cana-3335	14	6	sentiment	sentiment	NOUN
cana-3335	14	7	lda	lda	PROPN
cana-3335	14	8	,	,	PUNCT
cana-3335	14	9	frequent	frequent	ADJ
cana-3335	14	10	pattern	pattern	NOUN
cana-3335	14	11	lda	lda	PROPN
cana-3335	14	12	,	,	PUNCT
cana-3335	14	13	isp	isp	ADV
cana-3335	14	14	-	-	PUNCT
cana-3335	14	15	lda	lda	ADJ
cana-3335	14	16	,	,	PUNCT
cana-3335	14	17	hierarchical	hierarchical	ADJ
cana-3335	14	18	clustering	clustering	ADJ
cana-3335	14	19	max	max	PROPN
cana-3335	14	20	-	-	PUNCT
cana-3335	14	21	end	end	NOUN
cana-3335	14	22	lda	lda	PROPN
cana-3335	14	23	,	,	PUNCT
cana-3335	14	24	etc	etc	X
cana-3335	14	25	.	.	X
cana-3335	14	26	1	1	X
cana-3335	14	27	.	.	X
cana-3335	14	28	introduction	introduction	NOUN
cana-3335	14	29	widely	widely	ADV
cana-3335	14	30	used	use	VERB
cana-3335	14	31	in	in	ADP
cana-3335	14	32	knowledge	knowledge	NOUN
cana-3335	14	33	-	-	PUNCT
cana-3335	14	34	driven	drive	VERB
cana-3335	14	35	organizations	organization	NOUN
cana-3335	14	36	,	,	PUNCT
cana-3335	14	37	text	text	NOUN
cana-3335	14	38	mining	mining	NOUN
cana-3335	14	39	is	be	AUX
cana-3335	14	40	the	the	DET
cana-3335	14	41	process	process	NOUN
cana-3335	14	42	of	of	ADP
cana-3335	14	43	examining	examine	VERB
cana-3335	14	44	large	large	ADJ
cana-3335	14	45	collections	collection	NOUN
cana-3335	14	46	of	of	ADP
cana-3335	14	47	documents	document	NOUN
cana-3335	14	48	to	to	PART
cana-3335	14	49	discover	discover	VERB
cana-3335	14	50	new	new	ADJ
cana-3335	14	51	information	information	NOUN
cana-3335	14	52	or	or	CCONJ
cana-3335	14	53	help	help	AUX
cana-3335	14	54	answer	answer	VERB
cana-3335	14	55	specific	specific	ADJ
cana-3335	14	56	research	research	NOUN
cana-3335	14	57	questions	question	NOUN
cana-3335	14	58	.	.	PUNCT
cana-3335	15	1	text	text	NOUN
cana-3335	15	2	mining	mining	NOUN
cana-3335	15	3	identifies	identify	VERB
cana-3335	15	4	facts	fact	NOUN
cana-3335	15	5	,	,	PUNCT
cana-3335	15	6	relationships	relationship	NOUN
cana-3335	15	7	and	and	CCONJ
cana-3335	15	8	assertions	assertion	NOUN
cana-3335	15	9	that	that	PRON
cana-3335	15	10	would	would	AUX
cana-3335	15	11	otherwise	otherwise	ADV
cana-3335	15	12	remain	remain	VERB
cana-3335	15	13	buried	bury	VERB
cana-3335	15	14	in	in	ADP
cana-3335	15	15	the	the	DET
cana-3335	15	16	mass	mass	NOUN
cana-3335	15	17	of	of	ADP
cana-3335	15	18	textual	textual	ADJ
cana-3335	15	19	big	big	ADJ
cana-3335	15	20	data	datum	NOUN
cana-3335	15	21	[	[	X
cana-3335	15	22	1	1	NUM
cana-3335	15	23	]	]	PUNCT
cana-3335	15	24	.	.	PUNCT
cana-3335	16	1	once	once	ADV
cana-3335	16	2	extracted	extract	VERB
cana-3335	16	3	,	,	PUNCT
cana-3335	16	4	this	this	DET
cana-3335	16	5	information	information	NOUN
cana-3335	16	6	is	be	AUX
cana-3335	16	7	converted	convert	VERB
cana-3335	16	8	into	into	ADP
cana-3335	16	9	a	a	DET
cana-3335	16	10	structured	structured	ADJ
cana-3335	16	11	form	form	NOUN
cana-3335	16	12	that	that	PRON
cana-3335	16	13	can	can	AUX
cana-3335	16	14	be	be	AUX
cana-3335	16	15	further	far	ADV
cana-3335	16	16	analyzed	analyze	VERB
cana-3335	16	17	,	,	PUNCT
cana-3335	16	18	or	or	CCONJ
cana-3335	16	19	presented	present	VERB
cana-3335	16	20	directly	directly	ADV
cana-3335	16	21	using	use	VERB
cana-3335	16	22	clustered	clustered	ADJ
cana-3335	16	23	html	html	NOUN
cana-3335	16	24	tables	table	NOUN
cana-3335	16	25	,	,	PUNCT
cana-3335	16	26	mind	mind	NOUN
cana-3335	16	27	maps	map	NOUN
cana-3335	16	28	,	,	PUNCT
cana-3335	16	29	charts	chart	NOUN
cana-3335	16	30	,	,	PUNCT
cana-3335	16	31	etc	etc	X
cana-3335	16	32	.	.	X
cana-3335	16	33	text	text	NOUN
cana-3335	16	34	mining	mining	NOUN
cana-3335	16	35	employs	employ	VERB
cana-3335	16	36	a	a	DET
cana-3335	16	37	variety	variety	NOUN
cana-3335	16	38	of	of	ADP
cana-3335	16	39	methodologies	methodology	NOUN
cana-3335	16	40	to	to	PART
cana-3335	16	41	process	process	VERB
cana-3335	16	42	the	the	DET
cana-3335	16	43	text	text	NOUN
cana-3335	16	44	,	,	PUNCT
cana-3335	16	45	one	one	NUM
cana-3335	16	46	of	of	ADP
cana-3335	16	47	the	the	DET
cana-3335	16	48	most	most	ADV
cana-3335	16	49	important	important	ADJ
cana-3335	16	50	of	of	ADP
cana-3335	16	51	these	these	PRON
cana-3335	16	52	being	be	AUX
cana-3335	16	53	natural	natural	ADJ
cana-3335	16	54	language	language	NOUN
cana-3335	16	55	processing	processing	NOUN
cana-3335	16	56	(	(	PUNCT
cana-3335	16	57	nlp	nlp	NOUN
cana-3335	16	58	)	)	PUNCT
cana-3335	16	59	.	.	PUNCT
cana-3335	17	1	machine	machine	NOUN
cana-3335	17	2	learning	learning	NOUN
cana-3335	17	3	is	be	AUX
cana-3335	17	4	an	an	DET
cana-3335	17	5	artificial	artificial	ADJ
cana-3335	17	6	intelligence	intelligence	NOUN
cana-3335	17	7	(	(	PUNCT
cana-3335	17	8	ai	ai	NOUN
cana-3335	17	9	)	)	PUNCT
cana-3335	17	10	technology	technology	NOUN
cana-3335	17	11	which	which	PRON
cana-3335	17	12	provides	provide	VERB
cana-3335	17	13	systems	system	NOUN
cana-3335	17	14	with	with	ADP
cana-3335	17	15	the	the	DET
cana-3335	17	16	ability	ability	NOUN
cana-3335	17	17	to	to	PART
cana-3335	17	18	automatically	automatically	ADV
cana-3335	17	19	learn	learn	VERB
cana-3335	17	20	from	from	ADP
cana-3335	17	21	experience	experience	NOUN
cana-3335	17	22	without	without	ADP
cana-3335	17	23	the	the	DET
cana-3335	17	24	need	need	NOUN
cana-3335	17	25	for	for	ADP
cana-3335	17	26	explicit	explicit	ADJ
cana-3335	17	27	programming	programming	NOUN
cana-3335	17	28	,	,	PUNCT
cana-3335	17	29	and	and	CCONJ
cana-3335	17	30	can	can	AUX
cana-3335	17	31	help	help	VERB
cana-3335	17	32	solve	solve	VERB
cana-3335	17	33	complex	complex	ADJ
cana-3335	17	34	problems	problem	NOUN
cana-3335	17	35	with	with	ADP
cana-3335	17	36	accuracy	accuracy	NOUN
cana-3335	17	37	that	that	PRON
cana-3335	17	38	can	can	AUX
cana-3335	17	39	rival	rival	VERB
cana-3335	17	40	or	or	CCONJ
cana-3335	17	41	even	even	ADV
cana-3335	17	42	sometimes	sometimes	ADV
cana-3335	17	43	surpass	surpass	ADJ
cana-3335	17	44	humans	human	NOUN
cana-3335	17	45	.	.	PUNCT
cana-3335	18	1	however	however	ADV
cana-3335	18	2	,	,	PUNCT
cana-3335	18	3	machine	machine	NOUN
cana-3335	18	4	learning	learning	NOUN
cana-3335	18	5	requires	require	VERB
cana-3335	18	6	well	well	ADV
cana-3335	18	7	-	-	PUNCT
cana-3335	18	8	curate	curate	NOUN
cana-3335	18	9	input	input	NOUN
cana-3335	18	10	to	to	PART
cana-3335	18	11	train	train	VERB
cana-3335	18	12	from	from	ADP
cana-3335	18	13	,	,	PUNCT
cana-3335	18	14	and	and	CCONJ
cana-3335	18	15	this	this	PRON
cana-3335	18	16	is	be	AUX
cana-3335	18	17	typically	typically	ADV
cana-3335	18	18	not	not	PART
cana-3335	18	19	available	available	ADJ
cana-3335	18	20	from	from	ADP
cana-3335	18	21	sources	source	NOUN
cana-3335	18	22	such	such	ADJ
cana-3335	18	23	as	as	ADP
cana-3335	18	24	electronic	electronic	ADJ
cana-3335	18	25	health	health	NOUN
cana-3335	18	26	records	record	NOUN
cana-3335	18	27	or	or	CCONJ
cana-3335	18	28	scientific	scientific	ADJ
cana-3335	18	29	literature	literature	NOUN
cana-3335	18	30	where	where	SCONJ
cana-3335	18	31	most	most	ADJ
cana-3335	18	32	of	of	ADP
cana-3335	18	33	the	the	DET
cana-3335	18	34	data	datum	NOUN
cana-3335	18	35	is	be	AUX
cana-3335	18	36	unstructured	unstructured	ADJ
cana-3335	18	37	communications	communication	NOUN
cana-3335	18	38	on	on	ADP
cana-3335	18	39	applied	apply	VERB
cana-3335	18	40	nonlinear	nonlinear	ADJ
cana-3335	18	41	analysis	analysis	NOUN
cana-3335	18	42	issn	issn	NOUN
cana-3335	18	43	:	:	PUNCT
cana-3335	18	44	1074	1074	NUM
cana-3335	18	45	-	-	PUNCT
cana-3335	18	46	133x	133x	NUM
cana-3335	18	47	vol	vol	NOUN
cana-3335	18	48	32	32	NUM
cana-3335	18	49	no	no	NOUN
cana-3335	18	50	.	.	PUNCT
cana-3335	19	1	7s	7	NOUN
cana-3335	19	2	(	(	PUNCT
cana-3335	19	3	2025	2025	NUM
cana-3335	19	4	)	)	PUNCT
cana-3335	19	5	14	14	NUM
cana-3335	19	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3335	19	7	text	text	NOUN
cana-3335	20	1	[	[	X
cana-3335	20	2	3	3	NUM
cana-3335	20	3	]	]	PUNCT
cana-3335	20	4	.	.	PUNCT
cana-3335	21	1	concordance	concordance	NOUN
cana-3335	21	2	is	be	AUX
cana-3335	21	3	used	use	VERB
cana-3335	21	4	to	to	PART
cana-3335	21	5	recognize	recognize	VERB
cana-3335	21	6	the	the	DET
cana-3335	21	7	particular	particular	ADJ
cana-3335	21	8	context	context	NOUN
cana-3335	21	9	or	or	CCONJ
cana-3335	21	10	instance	instance	NOUN
cana-3335	21	11	in	in	ADP
cana-3335	21	12	which	which	PRON
cana-3335	21	13	a	a	DET
cana-3335	21	14	word	word	NOUN
cana-3335	21	15	or	or	CCONJ
cana-3335	21	16	set	set	NOUN
cana-3335	21	17	of	of	ADP
cana-3335	21	18	words	word	NOUN
cana-3335	21	19	appears	appear	VERB
cana-3335	21	20	.	.	PUNCT
cana-3335	22	1	analyzing	analyze	VERB
cana-3335	22	2	the	the	DET
cana-3335	22	3	concordance	concordance	NOUN
cana-3335	22	4	of	of	ADP
cana-3335	22	5	a	a	DET
cana-3335	22	6	word	word	NOUN
cana-3335	22	7	can	can	AUX
cana-3335	22	8	help	help	VERB
cana-3335	22	9	understand	understand	VERB
cana-3335	22	10	its	its	PRON
cana-3335	22	11	exact	exact	ADJ
cana-3335	22	12	meaning	meaning	NOUN
cana-3335	22	13	based	base	VERB
cana-3335	22	14	on	on	ADP
cana-3335	22	15	context	context	NOUN
cana-3335	22	16	.	.	PUNCT
cana-3335	23	1	this	this	DET
cana-3335	23	2	paper	paper	NOUN
cana-3335	23	3	proposes	propose	VERB
cana-3335	23	4	two	two	NUM
cana-3335	23	5	schemes	scheme	NOUN
cana-3335	23	6	for	for	ADP
cana-3335	23	7	aspect	aspect	NOUN
cana-3335	23	8	-	-	PUNCT
cana-3335	23	9	based	base	VERB
cana-3335	23	10	opinion	opinion	NOUN
cana-3335	23	11	mining	mining	NOUN
cana-3335	23	12	.	.	PUNCT
cana-3335	24	1	the	the	DET
cana-3335	24	2	first	first	ADJ
cana-3335	24	3	scheme	scheme	NOUN
cana-3335	24	4	is	be	AUX
cana-3335	24	5	based	base	VERB
cana-3335	24	6	on	on	ADP
cana-3335	24	7	the	the	DET
cana-3335	24	8	inverted	inverted	ADJ
cana-3335	24	9	list	list	NOUN
cana-3335	24	10	and	and	CCONJ
cana-3335	24	11	the	the	DET
cana-3335	24	12	slda	slda	NOUN
cana-3335	24	13	(	(	PUNCT
cana-3335	24	14	sentiwordnet	sentiwordnet	PROPN
cana-3335	24	15	wordnet	wordnet	NOUN
cana-3335	24	16	-	-	PUNCT
cana-3335	24	17	latent	latent	NOUN
cana-3335	24	18	dirichlet	dirichlet	PROPN
cana-3335	24	19	allocation	allocation	NOUN
cana-3335	24	20	)	)	PUNCT
cana-3335	24	21	model	model	NOUN
cana-3335	24	22	proposed	propose	VERB
cana-3335	24	23	in	in	ADP
cana-3335	24	24	this	this	DET
cana-3335	24	25	paper	paper	NOUN
cana-3335	24	26	.	.	PUNCT
cana-3335	25	1	the	the	DET
cana-3335	25	2	second	second	ADJ
cana-3335	25	3	scheme	scheme	NOUN
cana-3335	25	4	is	be	AUX
cana-3335	25	5	based	base	VERB
cana-3335	25	6	on	on	ADP
cana-3335	25	7	the	the	DET
cana-3335	25	8	inverted	inverted	ADJ
cana-3335	25	9	list	list	NOUN
cana-3335	25	10	and	and	CCONJ
cana-3335	25	11	the	the	DET
cana-3335	25	12	hme	hme	PROPN
cana-3335	25	13	-	-	PUNCT
cana-3335	25	14	lda	lda	PROPN
cana-3335	25	15	(	(	PUNCT
cana-3335	25	16	hierarchical	hierarchical	ADJ
cana-3335	25	17	clustering	clustering	ADJ
cana-3335	25	18	maxent	maxent	NOUN
cana-3335	25	19	-	-	PUNCT
cana-3335	25	20	latent	latent	NOUN
cana-3335	25	21	dirichlet	dirichlet	PROPN
cana-3335	25	22	allocation	allocation	NOUN
cana-3335	25	23	)	)	PUNCT
cana-3335	25	24	model	model	NOUN
cana-3335	25	25	proposed	propose	VERB
cana-3335	25	26	in	in	ADP
cana-3335	25	27	this	this	DET
cana-3335	25	28	paper	paper	NOUN
cana-3335	25	29	.	.	PUNCT
cana-3335	26	1	the	the	DET
cana-3335	26	2	slda	slda	ADJ
cana-3335	26	3	model	model	NOUN
cana-3335	26	4	is	be	AUX
cana-3335	26	5	an	an	DET
cana-3335	26	6	optimized	optimize	VERB
cana-3335	26	7	lda	lda	PROPN
cana-3335	26	8	model	model	NOUN
cana-3335	26	9	based	base	VERB
cana-3335	26	10	on	on	ADP
cana-3335	26	11	the	the	DET
cana-3335	26	12	wordnet	wordnet	NOUN
cana-3335	26	13	and	and	CCONJ
cana-3335	26	14	sentiwordnet	sentiwordnet	NOUN
cana-3335	26	15	,	,	PUNCT
cana-3335	26	16	where	where	SCONJ
cana-3335	26	17	the	the	DET
cana-3335	26	18	wordnet	wordnet	NOUN
cana-3335	26	19	is	be	AUX
cana-3335	26	20	for	for	ADP
cana-3335	26	21	the	the	DET
cana-3335	26	22	similarity	similarity	NOUN
cana-3335	26	23	calculation	calculation	NOUN
cana-3335	26	24	of	of	ADP
cana-3335	26	25	words	word	NOUN
cana-3335	26	26	and	and	CCONJ
cana-3335	26	27	seed	seed	NOUN
cana-3335	26	28	words	word	NOUN
cana-3335	26	29	and	and	CCONJ
cana-3335	26	30	the	the	DET
cana-3335	26	31	sentiwordnet	sentiwordnet	NOUN
cana-3335	26	32	is	be	AUX
cana-3335	26	33	for	for	ADP
cana-3335	26	34	the	the	DET
cana-3335	26	35	separation	separation	NOUN
cana-3335	26	36	of	of	ADP
cana-3335	26	37	the	the	DET
cana-3335	26	38	opinion	opinion	NOUN
cana-3335	26	39	target	target	NOUN
cana-3335	26	40	words	word	NOUN
cana-3335	26	41	and	and	CCONJ
cana-3335	26	42	the	the	DET
cana-3335	26	43	opinion	opinion	NOUN
cana-3335	26	44	words	word	NOUN
cana-3335	26	45	,	,	PUNCT
cana-3335	26	46	while	while	SCONJ
cana-3335	26	47	the	the	DET
cana-3335	26	48	hme	hme	PROPN
cana-3335	26	49	-	-	PUNCT
cana-3335	26	50	lda	lda	PROPN
cana-3335	26	51	model	model	NOUN
cana-3335	26	52	is	be	AUX
cana-3335	26	53	an	an	DET
cana-3335	26	54	optimized	optimize	VERB
cana-3335	26	55	lda	lda	PROPN
cana-3335	26	56	model	model	NOUN
cana-3335	26	57	based	base	VERB
cana-3335	26	58	on	on	ADP
cana-3335	26	59	slda	slda	ADJ
cana-3335	26	60	and	and	CCONJ
cana-3335	26	61	maxentlda	maxentlda	NOUN
cana-3335	26	62	[	[	X
cana-3335	26	63	22	22	NUM
cana-3335	26	64	]	]	PUNCT
cana-3335	26	65	.	.	PUNCT
cana-3335	27	1	this	this	DET
cana-3335	27	2	methodology	methodology	NOUN
cana-3335	27	3	uses	use	VERB
cana-3335	27	4	latent	latent	PROPN
cana-3335	27	5	dirichlet	dirichlet	PROPN
cana-3335	27	6	allocation	allocation	NOUN
cana-3335	27	7	(	(	PUNCT
cana-3335	27	8	lda	lda	PROPN
cana-3335	27	9	)	)	PUNCT
cana-3335	27	10	,	,	PUNCT
cana-3335	27	11	a	a	DET
cana-3335	27	12	probabilistic	probabilistic	ADJ
cana-3335	27	13	topic	topic	NOUN
cana-3335	27	14	-	-	PUNCT
cana-3335	27	15	modeling	modeling	NOUN
cana-3335	27	16	technique	technique	NOUN
cana-3335	27	17	to	to	PART
cana-3335	27	18	discover	discover	VERB
cana-3335	27	19	the	the	DET
cana-3335	27	20	hidden	hide	VERB
cana-3335	27	21	semantic	semantic	ADJ
cana-3335	27	22	structures	structure	NOUN
cana-3335	27	23	from	from	ADP
cana-3335	27	24	a	a	DET
cana-3335	27	25	given	give	VERB
cana-3335	27	26	textual	textual	ADJ
cana-3335	27	27	corpus	corpus	NOUN
cana-3335	27	28	.	.	PUNCT
cana-3335	28	1	the	the	DET
cana-3335	28	2	output	output	NOUN
cana-3335	28	3	of	of	ADP
cana-3335	28	4	this	this	DET
cana-3335	28	5	study	study	NOUN
cana-3335	28	6	is	be	AUX
cana-3335	28	7	a	a	DET
cana-3335	28	8	systematic	systematic	ADJ
cana-3335	28	9	competency	competency	NOUN
cana-3335	28	10	map	map	NOUN
cana-3335	28	11	comprising	comprise	VERB
cana-3335	28	12	the	the	DET
cana-3335	28	13	essential	essential	ADJ
cana-3335	28	14	knowledge	knowledge	NOUN
cana-3335	28	15	domains	domain	NOUN
cana-3335	28	16	,	,	PUNCT
cana-3335	28	17	skills	skill	NOUN
cana-3335	28	18	,	,	PUNCT
cana-3335	28	19	and	and	CCONJ
cana-3335	28	20	tools	tool	NOUN
cana-3335	28	21	for	for	ADP
cana-3335	28	22	big	big	ADJ
cana-3335	28	23	data	datum	NOUN
cana-3335	28	24	software	software	NOUN
cana-3335	28	25	engineering	engineering	NOUN
cana-3335	28	26	.	.	PUNCT
cana-3335	29	1	in	in	ADP
cana-3335	29	2	this	this	DET
cana-3335	29	3	study	study	NOUN
cana-3335	29	4	,	,	PUNCT
cana-3335	29	5	a	a	DET
cana-3335	29	6	semi	semi	ADJ
cana-3335	29	7	-	-	ADJ
cana-3335	29	8	automatic	automatic	ADJ
cana-3335	29	9	methodology	methodology	NOUN
cana-3335	29	10	was	be	AUX
cana-3335	29	11	proposed	propose	VERB
cana-3335	29	12	to	to	PART
cana-3335	29	13	analyze	analyze	VERB
cana-3335	29	14	the	the	DET
cana-3335	29	15	content	content	NOUN
cana-3335	29	16	of	of	ADP
cana-3335	29	17	online	online	ADJ
cana-3335	29	18	bdse	bdse	PROPN
cana-3335	29	19	job	job	NOUN
cana-3335	29	20	ads	ad	NOUN
cana-3335	29	21	.	.	PUNCT
cana-3335	30	1	because	because	SCONJ
cana-3335	30	2	of	of	ADP
cana-3335	30	3	those	those	DET
cana-3335	30	4	reasons	reason	NOUN
cana-3335	30	5	,	,	PUNCT
cana-3335	30	6	people	people	NOUN
cana-3335	30	7	are	be	AUX
cana-3335	30	8	interested	interested	ADJ
cana-3335	30	9	in	in	ADP
cana-3335	30	10	preprocessing	preprocesse	VERB
cana-3335	30	11	raw	raw	ADJ
cana-3335	30	12	text	text	NOUN
cana-3335	30	13	in	in	ADP
cana-3335	30	14	a	a	DET
cana-3335	30	15	way	way	NOUN
cana-3335	30	16	that	that	PRON
cana-3335	30	17	reduces	reduce	VERB
cana-3335	30	18	its	its	PRON
cana-3335	30	19	dimension	dimension	NOUN
cana-3335	30	20	.	.	PUNCT
cana-3335	31	1	one	one	NUM
cana-3335	31	2	way	way	NOUN
cana-3335	31	3	to	to	PART
cana-3335	31	4	achieve	achieve	VERB
cana-3335	31	5	that	that	PRON
cana-3335	31	6	is	be	AUX
cana-3335	31	7	to	to	PART
cana-3335	31	8	use	use	VERB
cana-3335	31	9	lda	lda	PROPN
cana-3335	32	1	[	[	X
cana-3335	32	2	5	5	NUM
cana-3335	32	3	]	]	PUNCT
cana-3335	32	4	in	in	ADP
cana-3335	32	5	an	an	DET
cana-3335	32	6	unsupervised	unsupervised	ADJ
cana-3335	32	7	manner	manner	NOUN
cana-3335	32	8	.	.	PUNCT
cana-3335	33	1	the	the	DET
cana-3335	33	2	boost	boost	NOUN
cana-3335	33	3	multi	multi	ADJ
cana-3335	33	4	-	-	ADJ
cana-3335	33	5	class	class	ADJ
cana-3335	33	6	isp	isp	ADV
cana-3335	33	7	-	-	PUNCT
cana-3335	33	8	lda	lda	NOUN
cana-3335	33	9	model	model	NOUN
cana-3335	33	10	,	,	PUNCT
cana-3335	33	11	for	for	ADP
cana-3335	33	12	text	text	NOUN
cana-3335	33	13	classification	classification	NOUN
cana-3335	33	14	that	that	PRON
cana-3335	33	15	is	be	AUX
cana-3335	33	16	an	an	DET
cana-3335	33	17	ensemble	ensemble	NOUN
cana-3335	33	18	of	of	ADP
cana-3335	33	19	multi	multi	ADJ
cana-3335	33	20	-	-	ADJ
cana-3335	33	21	class	class	ADJ
cana-3335	33	22	lda	lda	PROPN
cana-3335	33	23	models	model	NOUN
cana-3335	33	24	is	be	AUX
cana-3335	33	25	proposed	propose	VERB
cana-3335	33	26	to	to	PART
cana-3335	33	27	solve	solve	VERB
cana-3335	33	28	variation	variation	NOUN
cana-3335	33	29	inference	inference	NOUN
cana-3335	33	30	.	.	PUNCT
cana-3335	34	1	the	the	DET
cana-3335	34	2	research	research	NOUN
cana-3335	34	3	work	work	NOUN
cana-3335	34	4	consists	consist	VERB
cana-3335	34	5	of	of	ADP
cana-3335	34	6	three	three	NUM
cana-3335	34	7	main	main	ADJ
cana-3335	34	8	layer	layer	NOUN
cana-3335	34	9	such	such	ADJ
cana-3335	34	10	as	as	ADP
cana-3335	34	11	data	datum	NOUN
cana-3335	34	12	layer	layer	NOUN
cana-3335	34	13	,	,	PUNCT
cana-3335	34	14	pattern	pattern	NOUN
cana-3335	34	15	layer	layer	NOUN
cana-3335	34	16	and	and	CCONJ
cana-3335	34	17	topic	topic	NOUN
cana-3335	34	18	model	model	NOUN
cana-3335	34	19	layer	layer	NOUN
cana-3335	34	20	.	.	PUNCT
cana-3335	35	1	each	each	DET
cana-3335	35	2	layer	layer	NOUN
cana-3335	35	3	is	be	AUX
cana-3335	35	4	made	make	VERB
cana-3335	35	5	up	up	ADP
cana-3335	35	6	of	of	ADP
cana-3335	35	7	sub	sub	NOUN
cana-3335	35	8	process	process	NOUN
cana-3335	35	9	stages	stage	NOUN
cana-3335	35	10	such	such	ADJ
cana-3335	35	11	as	as	ADP
cana-3335	35	12	pre	pre	ADJ
cana-3335	35	13	-	-	ADJ
cana-3335	35	14	processing	processing	ADJ
cana-3335	35	15	text	text	NOUN
cana-3335	35	16	data	datum	NOUN
cana-3335	35	17	,	,	PUNCT
cana-3335	35	18	set	set	NOUN
cana-3335	35	19	of	of	ADP
cana-3335	35	20	documents	document	NOUN
cana-3335	35	21	,	,	PUNCT
cana-3335	35	22	pattern	pattern	NOUN
cana-3335	35	23	discovery	discovery	NOUN
cana-3335	35	24	,	,	PUNCT
cana-3335	35	25	semantic	semantic	ADJ
cana-3335	35	26	information	information	NOUN
cana-3335	35	27	and	and	CCONJ
cana-3335	35	28	extraction	extraction	NOUN
cana-3335	35	29	,	,	PUNCT
cana-3335	35	30	pattern	pattern	NOUN
cana-3335	35	31	improvements	improvement	NOUN
cana-3335	35	32	,	,	PUNCT
cana-3335	35	33	topic	topic	NOUN
cana-3335	35	34	modeling	modeling	NOUN
cana-3335	35	35	and	and	CCONJ
cana-3335	35	36	cluster	cluster	NOUN
cana-3335	35	37	assignments	assignment	NOUN
cana-3335	35	38	.	.	PUNCT
cana-3335	36	1	•	•	X
cana-3335	36	2	in	in	ADP
cana-3335	36	3	pre	pre	ADJ
cana-3335	36	4	-	-	ADJ
cana-3335	36	5	process	process	NOUN
cana-3335	36	6	stage	stage	NOUN
cana-3335	36	7	;	;	PUNCT
cana-3335	36	8	the	the	DET
cana-3335	36	9	data	datum	NOUN
cana-3335	36	10	is	be	AUX
cana-3335	36	11	cleaned	clean	VERB
cana-3335	36	12	for	for	ADP
cana-3335	36	13	eliminating	eliminate	VERB
cana-3335	36	14	noisy	noisy	ADJ
cana-3335	36	15	data	datum	NOUN
cana-3335	36	16	.	.	PUNCT
cana-3335	37	1	the	the	DET
cana-3335	37	2	text	text	NOUN
cana-3335	37	3	is	be	AUX
cana-3335	37	4	converted	convert	VERB
cana-3335	37	5	into	into	ADP
cana-3335	37	6	lower	low	ADJ
cana-3335	37	7	case	case	NOUN
cana-3335	37	8	,	,	PUNCT
cana-3335	37	9	stop	stop	VERB
cana-3335	37	10	word	word	NOUN
cana-3335	37	11	removal	removal	NOUN
cana-3335	37	12	,	,	PUNCT
cana-3335	37	13	and	and	CCONJ
cana-3335	37	14	punctuations	punctuation	NOUN
cana-3335	37	15	are	be	AUX
cana-3335	37	16	removed	remove	VERB
cana-3335	37	17	from	from	ADP
cana-3335	37	18	the	the	DET
cana-3335	37	19	text	text	NOUN
cana-3335	37	20	.	.	PUNCT
cana-3335	38	1	in	in	ADP
cana-3335	38	2	the	the	DET
cana-3335	38	3	next	next	ADJ
cana-3335	38	4	step	step	NOUN
cana-3335	38	5	,	,	PUNCT
cana-3335	38	6	all	all	DET
cana-3335	38	7	tokens	token	NOUN
cana-3335	38	8	of	of	ADP
cana-3335	38	9	length	length	NOUN
cana-3335	38	10	less	less	ADJ
cana-3335	38	11	than	than	ADP
cana-3335	38	12	three	three	NUM
cana-3335	38	13	characters	character	NOUN
cana-3335	38	14	and	and	CCONJ
cana-3335	38	15	greater	great	ADJ
cana-3335	38	16	than	than	ADP
cana-3335	38	17	twenty	twenty	NUM
cana-3335	38	18	-	-	PUNCT
cana-3335	38	19	five	five	NUM
cana-3335	38	20	characters	character	NOUN
cana-3335	38	21	are	be	AUX
cana-3335	38	22	removed	remove	VERB
cana-3335	38	23	from	from	ADP
cana-3335	38	24	a	a	DET
cana-3335	38	25	text	text	NOUN
cana-3335	38	26	corpus	corpus	NOUN
cana-3335	38	27	.	.	PUNCT
cana-3335	39	1	•	•	NUM
cana-3335	39	2	in	in	ADP
cana-3335	39	3	the	the	DET
cana-3335	39	4	next	next	ADJ
cana-3335	39	5	stage	stage	NOUN
cana-3335	39	6	,	,	PUNCT
cana-3335	39	7	using	use	VERB
cana-3335	39	8	sequential	sequential	ADJ
cana-3335	39	9	pattern	pattern	NOUN
cana-3335	39	10	mining	mining	NOUN
cana-3335	39	11	algorithm	algorithm	NOUN
cana-3335	39	12	,	,	PUNCT
cana-3335	39	13	the	the	DET
cana-3335	39	14	document	document	NOUN
cana-3335	39	15	is	be	AUX
cana-3335	39	16	converted	convert	VERB
cana-3335	39	17	into	into	ADP
cana-3335	39	18	paragraph	paragraph	NOUN
cana-3335	39	19	and	and	CCONJ
cana-3335	39	20	further	far	ADV
cana-3335	39	21	into	into	ADP
cana-3335	39	22	individual	individual	ADJ
cana-3335	39	23	terms	term	NOUN
cana-3335	39	24	for	for	ADP
cana-3335	39	25	identifying	identify	VERB
cana-3335	39	26	the	the	DET
cana-3335	39	27	word	word	NOUN
cana-3335	39	28	sense	sense	NOUN
cana-3335	39	29	.	.	PUNCT
cana-3335	40	1	•	•	NOUN
cana-3335	40	2	pattern	pattern	NOUN
cana-3335	40	3	discovery	discovery	NOUN
cana-3335	40	4	stage	stage	NOUN
cana-3335	40	5	involves	involve	VERB
cana-3335	40	6	frequent	frequent	ADJ
cana-3335	40	7	&	&	CCONJ
cana-3335	40	8	closed	closed	ADJ
cana-3335	40	9	pattern	pattern	NOUN
cana-3335	40	10	techniques	technique	NOUN
cana-3335	40	11	,	,	PUNCT
cana-3335	40	12	to	to	PART
cana-3335	40	13	understand	understand	VERB
cana-3335	40	14	the	the	DET
cana-3335	40	15	underlying	underlie	VERB
cana-3335	40	16	patterns	pattern	NOUN
cana-3335	40	17	in	in	ADP
cana-3335	40	18	the	the	DET
cana-3335	40	19	consecutive	consecutive	ADJ
cana-3335	40	20	words	word	NOUN
cana-3335	40	21	as	as	ADP
cana-3335	40	22	,	,	PUNCT
cana-3335	40	23	sometimes	sometimes	ADV
cana-3335	40	24	system	system	NOUN
cana-3335	40	25	falsely	falsely	ADV
cana-3335	40	26	identifies	identify	VERB
cana-3335	40	27	the	the	DET
cana-3335	40	28	negative	negative	ADJ
cana-3335	40	29	documents	document	NOUN
cana-3335	40	30	.	.	PUNCT
cana-3335	41	1	•	•	NUM
cana-3335	41	2	semantic	semantic	ADJ
cana-3335	41	3	information	information	NOUN
cana-3335	41	4	&	&	CCONJ
cana-3335	41	5	extraction	extraction	NOUN
cana-3335	41	6	stage	stage	NOUN
cana-3335	41	7	uses	use	VERB
cana-3335	41	8	d	d	NOUN
cana-3335	41	9	pattern	pattern	NOUN
cana-3335	41	10	algorithm	algorithm	NOUN
cana-3335	41	11	.	.	PUNCT
cana-3335	42	1	patterns	pattern	NOUN
cana-3335	42	2	are	be	AUX
cana-3335	42	3	organized	organize	VERB
cana-3335	42	4	based	base	VERB
cana-3335	42	5	on	on	ADP
cana-3335	42	6	the	the	DET
cana-3335	42	7	weights	weight	NOUN
cana-3335	42	8	of	of	ADP
cana-3335	42	9	terms	term	NOUN
cana-3335	42	10	.	.	PUNCT
cana-3335	43	1	it	it	PRON
cana-3335	43	2	then	then	ADV
cana-3335	43	3	evaluates	evaluate	VERB
cana-3335	43	4	the	the	DET
cana-3335	43	5	term	term	NOUN
cana-3335	43	6	weights	weight	NOUN
cana-3335	43	7	and	and	CCONJ
cana-3335	43	8	discovers	discover	VERB
cana-3335	43	9	specific	specific	ADJ
cana-3335	43	10	patterns	pattern	NOUN
cana-3335	43	11	in	in	ADP
cana-3335	43	12	the	the	DET
cana-3335	43	13	set	set	NOUN
cana-3335	43	14	of	of	ADP
cana-3335	43	15	documents	document	NOUN
cana-3335	43	16	.	.	PUNCT
cana-3335	44	1	•	•	NUM
cana-3335	44	2	set	set	NOUN
cana-3335	44	3	of	of	ADP
cana-3335	44	4	documents	document	NOUN
cana-3335	44	5	–	–	PUNCT
cana-3335	44	6	no	no	PRON
cana-3335	44	7	of	of	ADP
cana-3335	44	8	documents	document	NOUN
cana-3335	44	9	related	relate	VERB
cana-3335	44	10	to	to	ADP
cana-3335	44	11	various	various	ADJ
cana-3335	44	12	long	long	ADJ
cana-3335	44	13	news	news	NOUN
cana-3335	44	14	stories	story	NOUN
cana-3335	44	15	,	,	PUNCT
cana-3335	44	16	blogs	blog	NOUN
cana-3335	44	17	,	,	PUNCT
cana-3335	44	18	lengthy	lengthy	ADJ
cana-3335	44	19	reviews	review	NOUN
cana-3335	44	20	–	–	PUNCT
cana-3335	44	21	no	no	PRON
cana-3335	44	22	of	of	ADP
cana-3335	44	23	documents	document	NOUN
cana-3335	44	24	,	,	PUNCT
cana-3335	44	25	number	number	NOUN
cana-3335	44	26	of	of	ADP
cana-3335	44	27	pages	page	NOUN
cana-3335	44	28	,	,	PUNCT
cana-3335	44	29	paragraphs	paragraph	NOUN
cana-3335	44	30	,	,	PUNCT
cana-3335	44	31	words	word	NOUN
cana-3335	44	32	,	,	PUNCT
cana-3335	44	33	etc	etc	X
cana-3335	44	34	.	.	X
cana-3335	44	35	,	,	PUNCT
cana-3335	44	36	pre	pre	ADJ
cana-3335	44	37	-	-	ADJ
cana-3335	44	38	processing	processing	ADJ
cana-3335	44	39	natural	natural	ADJ
cana-3335	44	40	language	language	NOUN
cana-3335	44	41	processingpattern	processingpattern	ADJ
cana-3335	44	42	identification	identification	NOUN
cana-3335	44	43	,	,	PUNCT
cana-3335	44	44	pattern	pattern	NOUN
cana-3335	44	45	inherent	inherent	ADJ
cana-3335	44	46	,	,	PUNCT
cana-3335	44	47	formal	formal	ADJ
cana-3335	44	48	informal	informal	ADJ
cana-3335	44	49	patterns	pattern	NOUN
cana-3335	44	50	,	,	PUNCT
cana-3335	44	51	pattern	pattern	NOUN
cana-3335	44	52	extraction	extraction	NOUN
cana-3335	44	53	,	,	PUNCT
cana-3335	44	54	interpretation	interpretation	NOUN
cana-3335	44	55	&	&	CCONJ
cana-3335	44	56	evaluation	evaluation	NOUN
cana-3335	44	57	,	,	PUNCT
cana-3335	44	58	how	how	SCONJ
cana-3335	44	59	to	to	PART
cana-3335	44	60	interpret	interpret	VERB
cana-3335	44	61	patterns	pattern	NOUN
cana-3335	44	62	,	,	PUNCT
cana-3335	44	63	evaluation	evaluation	NOUN
cana-3335	44	64	of	of	ADP
cana-3335	44	65	inherent	inherent	ADJ
cana-3335	44	66	patterns	pattern	NOUN
cana-3335	44	67	,	,	PUNCT
cana-3335	44	68	term	term	NOUN
cana-3335	44	69	weighting	weighting	NOUN
cana-3335	44	70	and	and	CCONJ
cana-3335	44	71	its	its	PRON
cana-3335	44	72	effect	effect	NOUN
cana-3335	44	73	on	on	ADP
cana-3335	44	74	patterns	pattern	NOUN
cana-3335	44	75	formed	form	VERB
cana-3335	44	76	,	,	PUNCT
cana-3335	44	77	communications	communication	NOUN
cana-3335	44	78	on	on	ADP
cana-3335	44	79	applied	apply	VERB
cana-3335	44	80	nonlinear	nonlinear	ADJ
cana-3335	44	81	analysis	analysis	NOUN
cana-3335	44	82	issn	issn	NOUN
cana-3335	44	83	:	:	PUNCT
cana-3335	44	84	1074	1074	NUM
cana-3335	44	85	-	-	PUNCT
cana-3335	44	86	133x	133x	NUM
cana-3335	44	87	vol	vol	NOUN
cana-3335	44	88	32	32	NUM
cana-3335	44	89	no	no	NOUN
cana-3335	44	90	.	.	PUNCT
cana-3335	45	1	7s	7	NOUN
cana-3335	45	2	(	(	PUNCT
cana-3335	45	3	2025	2025	NUM
cana-3335	45	4	)	)	PUNCT
cana-3335	45	5	15	15	NUM
cana-3335	45	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3335	45	7	•	•	NOUN
cana-3335	45	8	pattern	pattern	NOUN
cana-3335	45	9	improvements	improvement	NOUN
cana-3335	45	10	are	be	AUX
cana-3335	45	11	applied	apply	VERB
cana-3335	45	12	to	to	PART
cana-3335	45	13	reduce	reduce	VERB
cana-3335	45	14	false	false	ADJ
cana-3335	45	15	positive	positive	ADJ
cana-3335	45	16	assignments	assignment	NOUN
cana-3335	45	17	due	due	ADP
cana-3335	45	18	to	to	ADP
cana-3335	45	19	the	the	DET
cana-3335	45	20	presence	presence	NOUN
cana-3335	45	21	of	of	ADP
cana-3335	45	22	synonym	synonym	NOUN
cana-3335	45	23	words	word	NOUN
cana-3335	45	24	.	.	PUNCT
cana-3335	46	1	it	it	PRON
cana-3335	46	2	eliminates	eliminate	VERB
cana-3335	46	3	both	both	DET
cana-3335	46	4	noise	noise	NOUN
cana-3335	46	5	documents	document	NOUN
cana-3335	46	6	and	and	CCONJ
cana-3335	46	7	noise	noise	NOUN
cana-3335	46	8	patterns	pattern	NOUN
cana-3335	46	9	to	to	PART
cana-3335	46	10	get	get	VERB
cana-3335	46	11	positive	positive	ADJ
cana-3335	46	12	assignments	assignment	NOUN
cana-3335	46	13	.	.	PUNCT
cana-3335	47	1	•	•	NUM
cana-3335	47	2	lda	lda	PROPN
cana-3335	47	3	algorithm	algorithm	NOUN
cana-3335	47	4	is	be	AUX
cana-3335	47	5	a	a	DET
cana-3335	47	6	topic	topic	NOUN
cana-3335	47	7	modelling	model	VERB
cana-3335	47	8	algorithm	algorithm	NOUN
cana-3335	47	9	used	use	VERB
cana-3335	47	10	to	to	PART
cana-3335	47	11	understand	understand	VERB
cana-3335	47	12	the	the	DET
cana-3335	47	13	inherent	inherent	ADJ
cana-3335	47	14	topics	topic	NOUN
cana-3335	47	15	in	in	ADP
cana-3335	47	16	the	the	DET
cana-3335	47	17	document	document	NOUN
cana-3335	47	18	.	.	PUNCT
cana-3335	48	1	the	the	DET
cana-3335	48	2	lda	lda	PROPN
cana-3335	48	3	model	model	NOUN
cana-3335	48	4	to	to	PART
cana-3335	48	5	find	find	VERB
cana-3335	48	6	out	out	ADP
cana-3335	48	7	topics	topic	NOUN
cana-3335	48	8	for	for	ADP
cana-3335	48	9	the	the	DET
cana-3335	48	10	articles	article	NOUN
cana-3335	48	11	belonging	belong	VERB
cana-3335	48	12	to	to	ADP
cana-3335	48	13	multiple	multiple	ADJ
cana-3335	48	14	categories	category	NOUN
cana-3335	48	15	.	.	PUNCT
cana-3335	49	1	it	it	PRON
cana-3335	49	2	is	be	AUX
cana-3335	49	3	achieved	achieve	VERB
cana-3335	49	4	using	use	VERB
cana-3335	49	5	the	the	DET
cana-3335	49	6	similar	similar	ADJ
cana-3335	49	7	other	other	ADJ
cana-3335	49	8	textual	textual	ADJ
cana-3335	49	9	content	content	NOUN
cana-3335	49	10	,	,	PUNCT
cana-3335	49	11	the	the	DET
cana-3335	49	12	vocabularies	vocabulary	NOUN
cana-3335	49	13	derived	derive	VERB
cana-3335	49	14	from	from	ADP
cana-3335	49	15	them	they	PRON
cana-3335	49	16	and	and	CCONJ
cana-3335	49	17	then	then	ADV
cana-3335	49	18	the	the	DET
cana-3335	49	19	relationship	relationship	NOUN
cana-3335	49	20	between	between	ADP
cana-3335	49	21	its	its	PRON
cana-3335	49	22	terms	term	NOUN
cana-3335	49	23	.	.	PUNCT
cana-3335	50	1	•	•	NUM
cana-3335	50	2	the	the	DET
cana-3335	50	3	consecutive	consecutive	ADJ
cana-3335	50	4	terms	term	NOUN
cana-3335	50	5	are	be	AUX
cana-3335	50	6	grouped	group	VERB
cana-3335	50	7	based	base	VERB
cana-3335	50	8	on	on	ADP
cana-3335	50	9	similarity	similarity	NOUN
cana-3335	50	10	and	and	CCONJ
cana-3335	50	11	underlying	underlying	ADJ
cana-3335	50	12	relationships	relationship	NOUN
cana-3335	50	13	into	into	ADP
cana-3335	50	14	multiple	multiple	ADJ
cana-3335	50	15	clusters	cluster	NOUN
cana-3335	50	16	using	use	VERB
cana-3335	50	17	the	the	DET
cana-3335	50	18	hclust	hclust	PROPN
cana-3335	50	19	algorithm	algorithm	NOUN
cana-3335	50	20	.	.	PUNCT
cana-3335	51	1	the	the	DET
cana-3335	51	2	overall	overall	ADJ
cana-3335	51	3	system	system	NOUN
cana-3335	51	4	architecture	architecture	NOUN
cana-3335	51	5	is	be	AUX
cana-3335	51	6	shown	show	VERB
cana-3335	51	7	in	in	ADP
cana-3335	51	8	figure.1	figure.1	PROPN
cana-3335	51	9	.	.	PUNCT
cana-3335	52	1	fig.1	fig.1	PROPN
cana-3335	52	2	.	.	PUNCT
cana-3335	52	3	proposed	propose	VERB
cana-3335	52	4	architecture	architecture	NOUN
cana-3335	52	5	of	of	ADP
cana-3335	52	6	improved	improve	VERB
cana-3335	52	7	semantic	semantic	ADJ
cana-3335	52	8	pattern	pattern	NOUN
cana-3335	52	9	based	base	VERB
cana-3335	52	10	lda	lda	PROPN
cana-3335	52	11	model	model	NOUN
cana-3335	52	12	(	(	PUNCT
cana-3335	52	13	isp	isp	ADV
cana-3335	52	14	-	-	PUNCT
cana-3335	52	15	lda	lda	ADJ
cana-3335	52	16	)	)	PUNCT
cana-3335	52	17	1.1	1.1	NUM
cana-3335	52	18	data	datum	NOUN
cana-3335	52	19	collection	collection	NOUN
cana-3335	52	20	and	and	CCONJ
cana-3335	52	21	pre	pre	ADJ
cana-3335	52	22	-	-	ADJ
cana-3335	52	23	processing	process	VERB
cana-3335	52	24	the	the	DET
cana-3335	52	25	data	data	NOUN
cana-3335	52	26	is	be	AUX
cana-3335	52	27	a	a	DET
cana-3335	52	28	collection	collection	NOUN
cana-3335	52	29	of	of	ADP
cana-3335	52	30	research	research	NOUN
cana-3335	52	31	articles	article	NOUN
cana-3335	52	32	published	publish	VERB
cana-3335	52	33	in	in	ADP
cana-3335	52	34	online	online	ADJ
cana-3335	52	35	databases	database	NOUN
cana-3335	52	36	,	,	PUNCT
cana-3335	52	37	spanning	span	VERB
cana-3335	52	38	acros	acro	NOUN
cana-3335	52	39	multiple	multiple	ADJ
cana-3335	52	40	topics	topic	NOUN
cana-3335	52	41	,	,	PUNCT
cana-3335	52	42	such	such	ADJ
cana-3335	52	43	as	as	ADP
cana-3335	52	44	,	,	PUNCT
cana-3335	52	45	science	science	NOUN
cana-3335	52	46	,	,	PUNCT
cana-3335	52	47	language	language	NOUN
cana-3335	52	48	,	,	PUNCT
cana-3335	52	49	arts	art	NOUN
cana-3335	52	50	,	,	PUNCT
cana-3335	52	51	etc	etc	X
cana-3335	52	52	.	.	X
cana-3335	53	1	the	the	DET
cana-3335	53	2	total	total	ADJ
cana-3335	53	3	number	number	NOUN
cana-3335	53	4	of	of	ADP
cana-3335	53	5	documents	document	NOUN
cana-3335	53	6	taken	take	VERB
cana-3335	53	7	for	for	ADP
cana-3335	53	8	the	the	DET
cana-3335	53	9	study	study	NOUN
cana-3335	53	10	is	be	AUX
cana-3335	53	11	96,720	96,720	NUM
cana-3335	53	12	articles	article	NOUN
cana-3335	53	13	from	from	ADP
cana-3335	53	14	google	google	PROPN
cana-3335	53	15	scholar	scholar	NOUN
cana-3335	53	16	,	,	PUNCT
cana-3335	53	17	pubmed	pubmed	PROPN
cana-3335	53	18	,	,	PUNCT
cana-3335	53	19	ncbi	ncbi	PROPN
cana-3335	53	20	,	,	PUNCT
cana-3335	53	21	elsevier	elsevier	NOUN
cana-3335	53	22	and	and	CCONJ
cana-3335	53	23	ieee	ieee	NOUN
cana-3335	53	24	,	,	PUNCT
cana-3335	53	25	springer	springer	NOUN
cana-3335	53	26	nature	nature	NOUN
cana-3335	53	27	books	book	NOUN
cana-3335	53	28	,	,	PUNCT
cana-3335	53	29	science	science	NOUN
cana-3335	53	30	direct	direct	ADJ
cana-3335	53	31	.	.	PUNCT
cana-3335	54	1	the	the	DET
cana-3335	54	2	metadata	metadata	NOUN
cana-3335	54	3	about	about	ADP
cana-3335	54	4	the	the	DET
cana-3335	54	5	data	data	NOUN
cana-3335	54	6	collection	collection	NOUN
cana-3335	54	7	consists	consist	VERB
cana-3335	54	8	of	of	ADP
cana-3335	54	9	author	author	NOUN
cana-3335	54	10	,	,	PUNCT
cana-3335	54	11	date	date	NOUN
cana-3335	54	12	of	of	ADP
cana-3335	54	13	publication	publication	NOUN
cana-3335	54	14	,	,	PUNCT
cana-3335	54	15	subject	subject	ADJ
cana-3335	54	16	,	,	PUNCT
cana-3335	54	17	accession	accession	NOUN
cana-3335	54	18	number	number	NOUN
cana-3335	54	19	and	and	CCONJ
cana-3335	54	20	publisher	publisher	NOUN
cana-3335	54	21	details	detail	NOUN
cana-3335	54	22	.	.	PUNCT
cana-3335	55	1	the	the	DET
cana-3335	55	2	data	data	NOUN
cana-3335	55	3	is	be	AUX
cana-3335	55	4	then	then	ADV
cana-3335	55	5	processed	process	VERB
cana-3335	55	6	for	for	ADP
cana-3335	55	7	removal	removal	NOUN
cana-3335	55	8	of	of	ADP
cana-3335	55	9	unwanted	unwanted	ADJ
cana-3335	55	10	or	or	CCONJ
cana-3335	55	11	noisy	noisy	ADJ
cana-3335	55	12	text	text	NOUN
cana-3335	55	13	content	content	NOUN
cana-3335	55	14	.	.	PUNCT
cana-3335	56	1	before	before	ADP
cana-3335	56	2	data	datum	NOUN
cana-3335	56	3	cleaning	cleaning	NOUN
cana-3335	56	4	,	,	PUNCT
cana-3335	56	5	the	the	DET
cana-3335	56	6	documents	document	NOUN
cana-3335	56	7	are	be	AUX
cana-3335	56	8	reduced	reduce	VERB
cana-3335	56	9	to	to	ADP
cana-3335	56	10	paragraphs	paragraph	NOUN
cana-3335	56	11	and	and	CCONJ
cana-3335	56	12	then	then	ADV
cana-3335	56	13	to	to	ADP
cana-3335	56	14	words	word	NOUN
cana-3335	56	15	without	without	ADP
cana-3335	56	16	losing	lose	VERB
cana-3335	56	17	word	word	NOUN
cana-3335	56	18	order	order	NOUN
cana-3335	56	19	[	[	X
cana-3335	56	20	24	24	NUM
cana-3335	56	21	]	]	PUNCT
cana-3335	56	22	.	.	PUNCT
cana-3335	57	1	2	2	X
cana-3335	57	2	.	.	X
cana-3335	57	3	pattern	pattern	NOUN
cana-3335	57	4	discovery	discovery	NOUN
cana-3335	57	5	2.1	2.1	NUM
cana-3335	57	6	sequential	sequential	ADJ
cana-3335	57	7	pattern	pattern	NOUN
cana-3335	57	8	mining	mining	NOUN
cana-3335	57	9	this	this	PRON
cana-3335	57	10	is	be	AUX
cana-3335	57	11	the	the	DET
cana-3335	57	12	crucial	crucial	ADJ
cana-3335	57	13	step	step	NOUN
cana-3335	57	14	in	in	ADP
cana-3335	57	15	the	the	DET
cana-3335	57	16	proposed	propose	VERB
cana-3335	57	17	work	work	NOUN
cana-3335	57	18	.	.	PUNCT
cana-3335	58	1	it	it	PRON
cana-3335	58	2	uses	use	VERB
cana-3335	58	3	text	text	NOUN
cana-3335	58	4	mining	mining	NOUN
cana-3335	58	5	techniques	technique	NOUN
cana-3335	58	6	to	to	PART
cana-3335	58	7	apply	apply	VERB
cana-3335	58	8	sequential	sequential	ADJ
cana-3335	58	9	pattern	pattern	NOUN
cana-3335	58	10	mining	mining	NOUN
cana-3335	58	11	algorithms	algorithm	NOUN
cana-3335	58	12	to	to	PART
cana-3335	58	13	extract	extract	VERB
cana-3335	58	14	text	text	NOUN
cana-3335	58	15	patterns	pattern	NOUN
cana-3335	58	16	in	in	ADP
cana-3335	58	17	the	the	DET
cana-3335	58	18	corpus	corpus	NOUN
cana-3335	58	19	.	.	PUNCT
cana-3335	59	1	it	it	PRON
cana-3335	59	2	helps	help	VERB
cana-3335	59	3	to	to	PART
cana-3335	59	4	discover	discover	VERB
cana-3335	59	5	the	the	DET
cana-3335	59	6	word	word	NOUN
cana-3335	59	7	sense	sense	NOUN
cana-3335	59	8	,	,	PUNCT
cana-3335	59	9	sentence	sentence	NOUN
cana-3335	59	10	relationships	relationship	NOUN
cana-3335	59	11	,	,	PUNCT
cana-3335	59	12	semantic	semantic	ADJ
cana-3335	59	13	meanings	meaning	NOUN
cana-3335	59	14	and	and	CCONJ
cana-3335	59	15	ambiguity	ambiguity	NOUN
cana-3335	59	16	reduction	reduction	NOUN
cana-3335	59	17	[	[	X
cana-3335	59	18	14	14	NUM
cana-3335	59	19	]	]	PUNCT
cana-3335	59	20	.	.	PUNCT
cana-3335	60	1	this	this	PRON
cana-3335	60	2	reduces	reduce	VERB
cana-3335	60	3	the	the	DET
cana-3335	60	4	search	search	NOUN
cana-3335	60	5	space	space	NOUN
cana-3335	60	6	for	for	ADP
cana-3335	60	7	extraction	extraction	NOUN
cana-3335	60	8	of	of	ADP
cana-3335	60	9	patterns	pattern	NOUN
cana-3335	60	10	representing	represent	VERB
cana-3335	60	11	various	various	ADJ
cana-3335	60	12	topics	topic	NOUN
cana-3335	60	13	.	.	PUNCT
cana-3335	61	1	the	the	DET
cana-3335	61	2	challenge	challenge	NOUN
cana-3335	61	3	of	of	ADP
cana-3335	61	4	sequential	sequential	ADJ
cana-3335	61	5	pattern	pattern	NOUN
cana-3335	61	6	mining	mining	NOUN
cana-3335	61	7	entails	entail	NOUN
cana-3335	61	8	extracting	extract	VERB
cana-3335	61	9	frequent	frequent	ADJ
cana-3335	61	10	non	non	ADJ
cana-3335	61	11	-	-	ADJ
cana-3335	61	12	contiguous	contiguous	ADJ
cana-3335	61	13	or	or	CCONJ
cana-3335	61	14	contiguous	contiguous	ADJ
cana-3335	61	15	sub	sub	NOUN
cana-3335	61	16	-	-	NOUN
cana-3335	61	17	sequences	sequence	NOUN
cana-3335	61	18	.	.	PUNCT
cana-3335	62	1	because	because	SCONJ
cana-3335	62	2	algorithms	algorithm	NOUN
cana-3335	62	3	must	must	AUX
cana-3335	62	4	generate	generate	VERB
cana-3335	62	5	and	and	CCONJ
cana-3335	62	6	test	test	VERB
cana-3335	62	7	a	a	DET
cana-3335	62	8	combinatorial	combinatorial	ADJ
cana-3335	62	9	enormous	enormous	ADJ
cana-3335	62	10	number	number	NOUN
cana-3335	62	11	of	of	ADP
cana-3335	62	12	intermediate	intermediate	ADJ
cana-3335	62	13	subsequences	subsequence	NOUN
cana-3335	62	14	,	,	PUNCT
cana-3335	62	15	this	this	PRON
cana-3335	62	16	is	be	AUX
cana-3335	62	17	considered	consider	VERB
cana-3335	62	18	difficult	difficult	ADJ
cana-3335	62	19	in	in	ADP
cana-3335	62	20	terms	term	NOUN
cana-3335	62	21	of	of	ADP
cana-3335	62	22	temporal	temporal	ADJ
cana-3335	62	23	complexity	complexity	NOUN
cana-3335	62	24	[	[	X
cana-3335	62	25	22	22	NUM
cana-3335	62	26	]	]	PUNCT
cana-3335	62	27	.	.	PUNCT
cana-3335	63	1	furthermore	furthermore	ADV
cana-3335	63	2	,	,	PUNCT
cana-3335	63	3	most	most	ADJ
cana-3335	63	4	of	of	ADP
cana-3335	63	5	the	the	DET
cana-3335	63	6	retrieved	retrieve	VERB
cana-3335	63	7	sequences	sequence	NOUN
cana-3335	63	8	in	in	ADP
cana-3335	63	9	sequential	sequential	ADJ
cana-3335	63	10	pattern	pattern	NOUN
cana-3335	63	11	mining	mining	NOUN
cana-3335	63	12	are	be	AUX
cana-3335	63	13	quite	quite	ADV
cana-3335	63	14	similar	similar	ADJ
cana-3335	63	15	to	to	ADP
cana-3335	63	16	each	each	DET
cana-3335	63	17	other	other	ADJ
cana-3335	63	18	and	and	CCONJ
cana-3335	63	19	excessively	excessively	ADV
cana-3335	63	20	redundant	redundant	ADJ
cana-3335	63	21	.	.	PUNCT
cana-3335	64	1	this	this	DET
cana-3335	64	2	task	task	NOUN
cana-3335	64	3	requires	require	VERB
cana-3335	64	4	less	less	ADJ
cana-3335	64	5	computing	compute	VERB
cana-3335	64	6	power	power	NOUN
cana-3335	64	7	and	and	CCONJ
cana-3335	64	8	eliminates	eliminate	VERB
cana-3335	64	9	the	the	DET
cana-3335	64	10	issue	issue	NOUN
cana-3335	64	11	of	of	ADP
cana-3335	64	12	redundancy	redundancy	NOUN
cana-3335	64	13	in	in	ADP
cana-3335	64	14	the	the	DET
cana-3335	64	15	extracted	extract	VERB
cana-3335	64	16	patterns	pattern	NOUN
cana-3335	64	17	[	[	X
cana-3335	64	18	15	15	NUM
cana-3335	64	19	]	]	PUNCT
cana-3335	64	20	.	.	PUNCT
cana-3335	65	1	communications	communication	NOUN
cana-3335	65	2	on	on	ADP
cana-3335	65	3	applied	apply	VERB
cana-3335	65	4	nonlinear	nonlinear	ADJ
cana-3335	65	5	analysis	analysis	NOUN
cana-3335	65	6	issn	issn	NOUN
cana-3335	65	7	:	:	PUNCT
cana-3335	65	8	1074	1074	NUM
cana-3335	65	9	-	-	PUNCT
cana-3335	65	10	133x	133x	NUM
cana-3335	65	11	vol	vol	NOUN
cana-3335	65	12	32	32	NUM
cana-3335	65	13	no	no	NOUN
cana-3335	65	14	.	.	PUNCT
cana-3335	66	1	7s	7	NOUN
cana-3335	66	2	(	(	PUNCT
cana-3335	66	3	2025	2025	NUM
cana-3335	66	4	)	)	PUNCT
cana-3335	66	5	16	16	NUM
cana-3335	66	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3335	66	7	pattern	pattern	NOUN
cana-3335	66	8	discovery	discovery	NOUN
cana-3335	66	9	extracts	extract	VERB
cana-3335	66	10	the	the	DET
cana-3335	66	11	patterns	pattern	NOUN
cana-3335	66	12	from	from	ADP
cana-3335	66	13	the	the	DET
cana-3335	66	14	corpus	corpus	NOUN
cana-3335	66	15	where	where	SCONJ
cana-3335	66	16	each	each	DET
cana-3335	66	17	pattern	pattern	NOUN
cana-3335	66	18	includes	include	VERB
cana-3335	66	19	a	a	DET
cana-3335	66	20	set	set	NOUN
cana-3335	66	21	of	of	ADP
cana-3335	66	22	terms	term	NOUN
cana-3335	66	23	.	.	PUNCT
cana-3335	67	1	it	it	PRON
cana-3335	67	2	uses	use	VERB
cana-3335	67	3	the	the	DET
cana-3335	67	4	pattern	pattern	NOUN
cana-3335	67	5	taxonomy	taxonomy	NOUN
cana-3335	67	6	model	model	NOUN
cana-3335	67	7	to	to	PART
cana-3335	67	8	extract	extract	VERB
cana-3335	67	9	and	and	CCONJ
cana-3335	67	10	update	update	VERB
cana-3335	67	11	the	the	DET
cana-3335	67	12	discovered	discover	VERB
cana-3335	67	13	successful	successful	ADJ
cana-3335	67	14	patterns	pattern	NOUN
cana-3335	67	15	to	to	PART
cana-3335	67	16	reveal	reveal	VERB
cana-3335	67	17	the	the	DET
cana-3335	67	18	information	information	NOUN
cana-3335	67	19	present	present	ADJ
cana-3335	67	20	in	in	ADP
cana-3335	67	21	the	the	DET
cana-3335	67	22	text	text	NOUN
cana-3335	67	23	documents	document	NOUN
cana-3335	67	24	[	[	X
cana-3335	67	25	11	11	NUM
cana-3335	67	26	]	]	PUNCT
cana-3335	67	27	.	.	PUNCT
cana-3335	68	1	the	the	DET
cana-3335	68	2	taxonomy	taxonomy	NOUN
cana-3335	68	3	provides	provide	VERB
cana-3335	68	4	structure	structure	NOUN
cana-3335	68	5	to	to	ADP
cana-3335	68	6	the	the	DET
cana-3335	68	7	patterns	pattern	NOUN
cana-3335	68	8	while	while	SCONJ
cana-3335	68	9	conserving	conserve	VERB
cana-3335	68	10	semantic	semantic	ADJ
cana-3335	68	11	meaning	meaning	NOUN
cana-3335	68	12	and	and	CCONJ
cana-3335	68	13	word	word	NOUN
cana-3335	68	14	order	order	NOUN
cana-3335	68	15	of	of	ADP
cana-3335	68	16	the	the	DET
cana-3335	68	17	data	datum	NOUN
cana-3335	68	18	.	.	PUNCT
cana-3335	69	1	it	it	PRON
cana-3335	69	2	provides	provide	VERB
cana-3335	69	3	sub	sub	ADJ
cana-3335	69	4	-	-	ADJ
cana-3335	69	5	set	set	ADJ
cana-3335	69	6	relations	relation	NOUN
cana-3335	69	7	through	through	ADP
cana-3335	69	8	sequential	sequential	ADJ
cana-3335	69	9	patterns	pattern	NOUN
cana-3335	69	10	or	or	CCONJ
cana-3335	69	11	words	word	NOUN
cana-3335	69	12	in	in	ADP
cana-3335	69	13	the	the	DET
cana-3335	69	14	corpus	corpus	NOUN
cana-3335	69	15	.	.	PUNCT
cana-3335	70	1	which	which	PRON
cana-3335	70	2	t=	t=	PRON
cana-3335	70	3	{	{	PUNCT
cana-3335	70	4	t1	t1	NOUN
cana-3335	70	5	,	,	PUNCT
cana-3335	70	6	t2	t2	NOUN
cana-3335	70	7	,	,	PUNCT
cana-3335	70	8	t3	t3	PROPN
cana-3335	70	9	,	,	PUNCT
cana-3335	70	10	t4	t4	PROPN
cana-3335	70	11	...	...	PUNCT
cana-3335	70	12	tz	tz	AUX
cana-3335	70	13	}	}	PUNCT
cana-3335	70	14	be	be	AUX
cana-3335	70	15	a	a	DET
cana-3335	70	16	bunch	bunch	NOUN
cana-3335	70	17	of	of	ADP
cana-3335	70	18	terms	term	NOUN
cana-3335	70	19	that	that	PRON
cana-3335	70	20	are	be	AUX
cana-3335	70	21	extricated	extricate	VERB
cana-3335	70	22	from	from	ADP
cana-3335	70	23	the	the	DET
cana-3335	70	24	algorithm	algorithm	NOUN
cana-3335	70	25	.	.	PUNCT
cana-3335	71	1	let	let	VERB
cana-3335	71	2	t	t	NOUN
cana-3335	71	3	=	=	SYM
cana-3335	71	4	{	{	PUNCT
cana-3335	71	5	t1	t1	NOUN
cana-3335	71	6	;	;	PUNCT
cana-3335	71	7	t2	t2	NOUN
cana-3335	71	8	...	...	PUNCT
cana-3335	71	9	tm	tm	PROPN
cana-3335	71	10	}	}	PUNCT
cana-3335	71	11	be	be	AUX
cana-3335	71	12	a	a	DET
cana-3335	71	13	bunch	bunch	NOUN
cana-3335	71	14	of	of	ADP
cana-3335	71	15	terms	term	NOUN
cana-3335	71	16	(	(	PUNCT
cana-3335	71	17	or	or	CCONJ
cana-3335	71	18	watchwords	watchword	NOUN
cana-3335	71	19	)	)	PUNCT
cana-3335	71	20	that	that	PRON
cana-3335	71	21	can	can	AUX
cana-3335	71	22	be	be	AUX
cana-3335	71	23	removed	remove	VERB
cana-3335	71	24	from	from	ADP
cana-3335	71	25	the	the	DET
cana-3335	71	26	arrangement	arrangement	NOUN
cana-3335	71	27	of	of	ADP
cana-3335	71	28	positive	positive	ADJ
cana-3335	71	29	documents	document	NOUN
cana-3335	71	30	,	,	PUNCT
cana-3335	71	31	d+	d+	PUNCT
cana-3335	71	32	.	.	PUNCT
cana-3335	72	1	the	the	DET
cana-3335	72	2	negative	negative	ADJ
cana-3335	72	3	documents	document	NOUN
cana-3335	72	4	are	be	AUX
cana-3335	72	5	represented	represent	VERB
cana-3335	72	6	as	as	ADP
cana-3335	72	7	d[12	d[12	PROPN
cana-3335	72	8	]	]	PUNCT
cana-3335	72	9	.	.	PUNCT
cana-3335	73	1	to	to	PART
cana-3335	73	2	extract	extract	VERB
cana-3335	73	3	the	the	DET
cana-3335	73	4	frequent	frequent	ADJ
cana-3335	73	5	patterns	pattern	NOUN
cana-3335	73	6	the	the	DET
cana-3335	73	7	minimum	minimum	ADJ
cana-3335	73	8	support	support	NOUN
cana-3335	73	9	is	be	AUX
cana-3335	73	10	deputed	depute	VERB
cana-3335	73	11	.	.	PUNCT
cana-3335	74	1	the	the	DET
cana-3335	74	2	helped	help	VERB
cana-3335	74	3	value	value	NOUN
cana-3335	74	4	is	be	AUX
cana-3335	74	5	calculated	calculate	VERB
cana-3335	74	6	based	base	VERB
cana-3335	74	7	on	on	ADP
cana-3335	74	8	absolute	absolute	ADJ
cana-3335	74	9	support	support	NOUN
cana-3335	74	10	(	(	PUNCT
cana-3335	74	11	(	(	PUNCT
cana-3335	74	12	supa1	supa1	NOUN
cana-3335	74	13	)	)	PUNCT
cana-3335	74	14	and	and	CCONJ
cana-3335	74	15	relative	relative	ADJ
cana-3335	74	16	support	support	NOUN
cana-3335	74	17	(	(	PUNCT
cana-3335	74	18	supr1	supr1	NOUN
cana-3335	74	19	)	)	PUNCT
cana-3335	74	20	.	.	PUNCT
cana-3335	75	1	the	the	DET
cana-3335	75	2	outright	outright	ADJ
cana-3335	75	3	assistance	assistance	NOUN
cana-3335	75	4	is	be	AUX
cana-3335	75	5	the	the	DET
cana-3335	75	6	quantity	quantity	NOUN
cana-3335	75	7	of	of	ADP
cana-3335	75	8	event	event	NOUN
cana-3335	75	9	of	of	ADP
cana-3335	75	10	terms	term	NOUN
cana-3335	75	11	(	(	PUNCT
cana-3335	75	12	x	x	X
cana-3335	75	13	)	)	PUNCT
cana-3335	75	14	in	in	ADP
cana-3335	75	15	ps1	ps1	PROPN
cana-3335	75	16	(	(	PUNCT
cana-3335	75	17	d	d	NOUN
cana-3335	75	18	)	)	PUNCT
cana-3335	75	19	,	,	PUNCT
cana-3335	75	20	for	for	ADP
cana-3335	75	21	example	example	NOUN
cana-3335	75	22	,	,	PUNCT
cana-3335	75	23	supa1	supa1	X
cana-3335	75	24	(	(	PUNCT
cana-3335	75	25	x	x	NOUN
cana-3335	75	26	)	)	PUNCT
cana-3335	75	27	=	=	SYM
cana-3335	75	28	|x|	|x|	PROPN
cana-3335	75	29	and	and	CCONJ
cana-3335	75	30	the	the	DET
cana-3335	75	31	general	general	ADJ
cana-3335	75	32	backings	backing	NOUN
cana-3335	75	33	are	be	AUX
cana-3335	75	34	the	the	DET
cana-3335	75	35	small	small	ADJ
cana-3335	75	36	portion	portion	NOUN
cana-3335	75	37	of	of	ADP
cana-3335	75	38	sections	section	NOUN
cana-3335	75	39	that	that	PRON
cana-3335	75	40	contain	contain	VERB
cana-3335	75	41	the	the	DET
cana-3335	75	42	pattern	pattern	NOUN
cana-3335	75	43	.	.	PUNCT
cana-3335	76	1	supr1	supr1	NOUN
cana-3335	76	2	(	(	PUNCT
cana-3335	76	3	x	x	X
cana-3335	76	4	)	)	PUNCT
cana-3335	76	5	=	=	SYM
cana-3335	76	6	|x|	|x|	PROPN
cana-3335	76	7	/	/	SYM
cana-3335	76	8	|ps1	|ps1	PROPN
cana-3335	76	9	(	(	PUNCT
cana-3335	76	10	d)|	d)|	ADP
cana-3335	76	11	an	an	DET
cana-3335	76	12	ordered	order	VERB
cana-3335	76	13	list	list	NOUN
cana-3335	76	14	of	of	ADP
cana-3335	76	15	terms	term	NOUN
cana-3335	76	16	is	be	AUX
cana-3335	76	17	called	call	VERB
cana-3335	76	18	as	as	ADP
cana-3335	76	19	sequential	sequential	ADJ
cana-3335	76	20	patterns	pattern	NOUN
cana-3335	76	21	.	.	PUNCT
cana-3335	77	1	saa	saa	PROPN
cana-3335	78	1	=	=	PUNCT
cana-3335	78	2	<	<	X
cana-3335	78	3	aa1,aa2	aa1,aa2	PROPN
cana-3335	78	4	,	,	PUNCT
cana-3335	78	5	aa3	aa3	NOUN
cana-3335	78	6	…	…	SYM
cana-3335	78	7	.aai	.aai	PROPN
cana-3335	78	8	>	>	X
cana-3335	78	9	is	be	AUX
cana-3335	78	10	a	a	DET
cana-3335	78	11	subsequence	subsequence	NOUN
cana-3335	78	12	of	of	ADP
cana-3335	78	13	another	another	DET
cana-3335	78	14	sequence	sequence	NOUN
cana-3335	78	15	sbb	sbb	PROPN
cana-3335	78	16	=	=	PUNCT
cana-3335	78	17	<	<	X
cana-3335	78	18	bb1	bb1	PROPN
cana-3335	78	19	,	,	PUNCT
cana-3335	78	20	bb2	bb2	PROPN
cana-3335	78	21	,	,	PUNCT
cana-3335	78	22	bb3….bbi	bb3….bbi	VERB
cana-3335	78	23	>	>	X
cana-3335	78	24	is	be	AUX
cana-3335	78	25	called	call	VERB
cana-3335	78	26	saa	saa	PROPN
cana-3335	78	27	is	be	AUX
cana-3335	78	28	a	a	DET
cana-3335	78	29	subset	subset	NOUN
cana-3335	78	30	of	of	ADP
cana-3335	78	31	sbb	sbb	PROPN
cana-3335	79	1	if	if	SCONJ
cana-3335	79	2	and	and	CCONJ
cana-3335	79	3	only	only	ADV
cana-3335	79	4	if	if	SCONJ
cana-3335	79	5	it	it	PRON
cana-3335	79	6	belongs	belong	VERB
cana-3335	79	7	to	to	ADP
cana-3335	79	8	j1	j1	PROPN
cana-3335	79	9	,	,	PUNCT
cana-3335	79	10	j2	j2	PROPN
cana-3335	79	11	...	...	PUNCT
cana-3335	79	12	jb	jb	PROPN
cana-3335	79	13	such	such	ADJ
cana-3335	80	1	that	that	PRON
cana-3335	80	2	1≤	1≤	NUM
cana-3335	80	3	j1≤	j1≤	NUM
cana-3335	80	4	j2≤jb	j2≤jb	PROPN
cana-3335	80	5	≤j	≤j	PROPN
cana-3335	80	6	and	and	CCONJ
cana-3335	80	7	a1	a1	NOUN
cana-3335	80	8	=	=	PROPN
cana-3335	80	9	bjl	bjl	PROPN
cana-3335	80	10	…	…	PUNCT
cana-3335	80	11	ai	ai	NOUN
cana-3335	80	12	;	;	PUNCT
cana-3335	80	13	=	=	SYM
cana-3335	80	14	bjb	bjb	PROPN
cana-3335	80	15	..	..	PUNCT
cana-3335	80	16	a	a	DET
cana-3335	80	17	sequential	sequential	ADJ
cana-3335	80	18	patterns	pattern	NOUN
cana-3335	80	19	has	have	VERB
cana-3335	80	20	super	super	ADJ
cana-3335	80	21	patterns	pattern	NOUN
cana-3335	80	22	and	and	CCONJ
cana-3335	80	23	sub	sub	NOUN
cana-3335	80	24	patterns	pattern	NOUN
cana-3335	80	25	.	.	PUNCT
cana-3335	81	1	here	here	ADV
cana-3335	81	2	saa	saa	PROPN
cana-3335	81	3	is	be	AUX
cana-3335	81	4	a	a	DET
cana-3335	81	5	subset	subset	NOUN
cana-3335	81	6	of	of	ADP
cana-3335	81	7	sbb	sbb	PROPN
cana-3335	81	8	and	and	CCONJ
cana-3335	81	9	sbb	sbb	PROPN
cana-3335	81	10	refers	refer	VERB
cana-3335	81	11	as	as	ADP
cana-3335	81	12	super	super	ADJ
cana-3335	81	13	pattern	pattern	NOUN
cana-3335	81	14	of	of	ADP
cana-3335	81	15	s.[11].a	s.[11].a	PUNCT
cana-3335	81	16	relative	relative	ADJ
cana-3335	81	17	support	support	NOUN
cana-3335	81	18	must	must	AUX
cana-3335	81	19	be	be	AUX
cana-3335	81	20	greater	great	ADJ
cana-3335	81	21	than	than	ADP
cana-3335	81	22	2	2	NUM
cana-3335	81	23	(	(	PUNCT
cana-3335	81	24	minimum	minimum	ADJ
cana-3335	81	25	support	support	NOUN
cana-3335	81	26	)	)	PUNCT
cana-3335	81	27	,	,	PUNCT
cana-3335	81	28	then	then	ADV
cana-3335	81	29	this	this	DET
cana-3335	81	30	sequential	sequential	ADJ
cana-3335	81	31	pattern	pattern	NOUN
cana-3335	81	32	is	be	AUX
cana-3335	81	33	said	say	VERB
cana-3335	81	34	to	to	PART
cana-3335	81	35	be	be	AUX
cana-3335	81	36	frequent	frequent	ADJ
cana-3335	81	37	pattern[21	pattern[21	NOUN
cana-3335	81	38	]	]	PUNCT
cana-3335	81	39	.	.	PUNCT
cana-3335	82	1	a	a	DET
cana-3335	82	2	frequent	frequent	ADJ
cana-3335	82	3	sequential	sequential	ADJ
cana-3335	82	4	pattern	pattern	NOUN
cana-3335	82	5	x	x	PUNCT
cana-3335	82	6	is	be	AUX
cana-3335	82	7	known	know	VERB
cana-3335	82	8	as	as	ADP
cana-3335	82	9	closed	close	VERB
cana-3335	82	10	if	if	SCONJ
cana-3335	82	11	not	not	PART
cana-3335	82	12	any	any	DET
cana-3335	82	13	super	super	ADJ
cana-3335	82	14	pattern	pattern	NOUN
cana-3335	82	15	x1	x1	NUM
cana-3335	82	16	of	of	ADP
cana-3335	82	17	x	x	PRON
cana-3335	82	18	such	such	ADJ
cana-3335	82	19	that	that	DET
cana-3335	82	20	supa1(xl	supa1(xl	NOUN
cana-3335	82	21	)	)	PUNCT
cana-3335	82	22	=	=	SYM
cana-3335	82	23	supa1(x	supa1(x	NOUN
cana-3335	82	24	)	)	PUNCT
cana-3335	82	25	.	.	PUNCT
cana-3335	83	1	3	3	X
cana-3335	83	2	.	.	X
cana-3335	83	3	semantic	semantic	ADJ
cana-3335	83	4	information	information	NOUN
cana-3335	83	5	and	and	CCONJ
cana-3335	83	6	extraction	extraction	NOUN
cana-3335	83	7	the	the	DET
cana-3335	83	8	semantic	semantic	ADJ
cana-3335	83	9	information	information	NOUN
cana-3335	83	10	and	and	CCONJ
cana-3335	83	11	extraction	extraction	NOUN
cana-3335	83	12	,	,	PUNCT
cana-3335	83	13	text	text	NOUN
cana-3335	83	14	chunks	chunk	NOUN
cana-3335	83	15	become	become	VERB
cana-3335	83	16	data	datum	NOUN
cana-3335	83	17	bits	bit	NOUN
cana-3335	83	18	,	,	PUNCT
cana-3335	83	19	data	datum	NOUN
cana-3335	83	20	bits	bit	NOUN
cana-3335	83	21	become	become	VERB
cana-3335	83	22	semantic	semantic	ADJ
cana-3335	83	23	metadata	metadata	NOUN
cana-3335	83	24	and	and	CCONJ
cana-3335	83	25	semantic	semantic	ADJ
cana-3335	83	26	metadata	metadata	NOUN
cana-3335	83	27	become	become	VERB
cana-3335	83	28	knowledge	knowledge	NOUN
cana-3335	83	29	bytes	byte	NOUN
cana-3335	83	30	–	–	PUNCT
cana-3335	83	31	data	datum	NOUN
cana-3335	83	32	pieces	piece	NOUN
cana-3335	83	33	,	,	PUNCT
cana-3335	83	34	ready	ready	ADJ
cana-3335	83	35	to	to	PART
cana-3335	83	36	leverage	leverage	VERB
cana-3335	83	37	for	for	ADP
cana-3335	83	38	insights	insight	NOUN
cana-3335	83	39	,	,	PUNCT
cana-3335	83	40	decisions	decision	NOUN
cana-3335	83	41	and	and	CCONJ
cana-3335	83	42	actions	action	NOUN
cana-3335	83	43	semantic	semantic	ADJ
cana-3335	83	44	annotation	annotation	NOUN
cana-3335	83	45	is	be	AUX
cana-3335	83	46	the	the	DET
cana-3335	83	47	process	process	NOUN
cana-3335	83	48	of	of	ADP
cana-3335	83	49	tagging	tag	VERB
cana-3335	83	50	documents	document	NOUN
cana-3335	83	51	with	with	ADP
cana-3335	83	52	relevant	relevant	ADJ
cana-3335	83	53	concepts	concept	NOUN
cana-3335	83	54	.	.	PUNCT
cana-3335	84	1	the	the	DET
cana-3335	84	2	documents	document	NOUN
cana-3335	84	3	are	be	AUX
cana-3335	84	4	enriched	enrich	VERB
cana-3335	84	5	with	with	ADP
cana-3335	84	6	metadata	metadata	NOUN
cana-3335	84	7	:	:	PUNCT
cana-3335	84	8	references	reference	NOUN
cana-3335	84	9	that	that	PRON
cana-3335	84	10	link	link	VERB
cana-3335	84	11	the	the	DET
cana-3335	84	12	content	content	NOUN
cana-3335	84	13	to	to	ADP
cana-3335	84	14	concepts	concept	NOUN
cana-3335	84	15	,	,	PUNCT
cana-3335	84	16	described	describe	VERB
cana-3335	84	17	in	in	ADP
cana-3335	84	18	a	a	DET
cana-3335	84	19	knowledge	knowledge	NOUN
cana-3335	84	20	graph	graph	NOUN
cana-3335	84	21	.	.	PUNCT
cana-3335	85	1	this	this	PRON
cana-3335	85	2	makes	make	VERB
cana-3335	85	3	unstructured	unstructured	ADJ
cana-3335	85	4	content	content	NOUN
cana-3335	85	5	easier	easy	ADJ
cana-3335	85	6	to	to	PART
cana-3335	85	7	find	find	VERB
cana-3335	85	8	,	,	PUNCT
cana-3335	85	9	interpret	interpret	VERB
cana-3335	85	10	and	and	CCONJ
cana-3335	85	11	reuse	reuse	NOUN
cana-3335	85	12	[	[	X
cana-3335	85	13	12	12	NUM
cana-3335	85	14	]	]	PUNCT
cana-3335	85	15	.	.	PUNCT
cana-3335	86	1	3.1	3.1	NUM
cana-3335	86	2	d	d	ADJ
cana-3335	86	3	-	-	PUNCT
cana-3335	86	4	pattern	pattern	NOUN
cana-3335	86	5	mining	mining	NOUN
cana-3335	86	6	algorithm	algorithm	NOUN
cana-3335	86	7	a	a	DET
cana-3335	86	8	set	set	NOUN
cana-3335	86	9	of	of	ADP
cana-3335	86	10	d	d	NOUN
cana-3335	86	11	-	-	PUNCT
cana-3335	86	12	patterns	pattern	NOUN
cana-3335	86	13	is	be	AUX
cana-3335	86	14	used	use	VERB
cana-3335	86	15	to	to	PART
cana-3335	86	16	find	find	VERB
cana-3335	86	17	out	out	ADP
cana-3335	86	18	different	different	ADJ
cana-3335	86	19	patterns	pattern	NOUN
cana-3335	86	20	in	in	ADP
cana-3335	86	21	every	every	DET
cana-3335	86	22	positive	positive	ADJ
cana-3335	86	23	document	document	NOUN
cana-3335	86	24	in	in	ADP
cana-3335	86	25	d	d	ADJ
cana-3335	86	26	-	-	PUNCT
cana-3335	86	27	pattern	pattern	NOUN
cana-3335	86	28	mining	mining	NOUN
cana-3335	86	29	algorithm	algorithm	NOUN
cana-3335	87	1	[	[	X
cana-3335	87	2	20	20	NUM
cana-3335	87	3	]	]	PUNCT
cana-3335	87	4	.	.	PUNCT
cana-3335	88	1	the	the	DET
cana-3335	88	2	deploying	deploying	NOUN
cana-3335	88	3	process	process	NOUN
cana-3335	88	4	plays	play	VERB
cana-3335	88	5	a	a	DET
cana-3335	88	6	significant	significant	ADJ
cana-3335	88	7	role	role	NOUN
cana-3335	88	8	in	in	ADP
cana-3335	88	9	finding	find	VERB
cana-3335	88	10	the	the	DET
cana-3335	88	11	d	d	NOUN
cana-3335	88	12	-	-	PUNCT
cana-3335	88	13	patterns	pattern	NOUN
cana-3335	88	14	and	and	CCONJ
cana-3335	88	15	support	support	NOUN
cana-3335	88	16	assessment	assessment	NOUN
cana-3335	88	17	terms	term	NOUN
cana-3335	88	18	.	.	PUNCT
cana-3335	89	1	example	example	NOUN
cana-3335	89	2	for	for	ADP
cana-3335	89	3	sub	sub	NOUN
cana-3335	89	4	-	-	NOUN
cana-3335	89	5	sequence	sequence	NOUN
cana-3335	89	6	is	be	AUX
cana-3335	89	7	a	a	DET
cana-3335	89	8	sequence	sequence	NOUN
cana-3335	89	9	saa=	saa=	PROPN
cana-3335	89	10	saa1	saa1	NOUN
cana-3335	89	11	,	,	PUNCT
cana-3335	89	12	saa2	saa2	ADJ
cana-3335	89	13	,	,	PUNCT
cana-3335	89	14	saa3	saa3	PROPN
cana-3335	89	15	…	…	PUNCT
cana-3335	89	16	..	..	PUNCT
cana-3335	90	1	saan	saan	PROPN
cana-3335	90	2	is	be	AUX
cana-3335	90	3	a	a	DET
cana-3335	90	4	sub	sub	NOUN
cana-3335	90	5	sequence	sequence	NOUN
cana-3335	90	6	of	of	ADP
cana-3335	90	7	another	another	DET
cana-3335	90	8	sequence	sequence	NOUN
cana-3335	90	9	terms	term	NOUN
cana-3335	90	10	such	such	ADJ
cana-3335	90	11	as	as	ADP
cana-3335	90	12	sbb=	sbb=	PROPN
cana-3335	90	13	sbb1	sbb1	PROPN
cana-3335	90	14	,	,	PUNCT
cana-3335	90	15	sbb2	sbb2	PROPN
cana-3335	90	16	,	,	PUNCT
cana-3335	90	17	sbb3….sbbm	sbb3….sbbm	PROPN
cana-3335	90	18	,	,	PUNCT
cana-3335	90	19	which	which	PRON
cana-3335	90	20	was	be	AUX
cana-3335	90	21	denoted	denote	VERB
cana-3335	90	22	by	by	ADP
cana-3335	90	23	α	α	X
cana-3335	90	24	,	,	PUNCT
cana-3335	90	25	β	β	NOUN
cana-3335	90	26	.	.	PUNCT
cana-3335	91	1	a	a	DET
cana-3335	91	2	set	set	NOUN
cana-3335	91	3	of	of	ADP
cana-3335	91	4	integers	integer	NOUN
cana-3335	91	5	such	such	ADJ
cana-3335	91	6	as	as	ADP
cana-3335	91	7	1	1	NUM
cana-3335	91	8	≤	≤	NUM
cana-3335	91	9	ii1	ii1	NOUN
cana-3335	91	10	<	<	X
cana-3335	91	11	ii2	ii2	X
cana-3335	91	12	<	<	X
cana-3335	91	13	.	.	PUNCT
cana-3335	91	14	.	.	PUNCT
cana-3335	91	15	.	.	PUNCT
cana-3335	92	1	<	<	X
cana-3335	93	1	iin	iin	PROPN
cana-3335	93	2	≤	≤	NOUN
cana-3335	93	3	m	m	VERB
cana-3335	93	4	such	such	ADJ
cana-3335	93	5	that	that	PRON
cana-3335	93	6	sa1	sa1	PROPN
cana-3335	93	7	=	=	PROPN
cana-3335	93	8	sb1	sb1	PROPN
cana-3335	93	9	,	,	PUNCT
cana-3335	93	10	sa2	sa2	PROPN
cana-3335	93	11	=	=	SYM
cana-3335	93	12	sb2	sb2	PROPN
cana-3335	93	13	…	…	SYM
cana-3335	93	14	…	…	SYM
cana-3335	93	15	san	san	PROPN
cana-3335	93	16	=	=	SYM
cana-3335	93	17	sbm	sbm	PROPN
cana-3335	93	18	.	.	PUNCT
cana-3335	94	1	communications	communication	NOUN
cana-3335	94	2	on	on	ADP
cana-3335	94	3	applied	apply	VERB
cana-3335	94	4	nonlinear	nonlinear	ADJ
cana-3335	94	5	analysis	analysis	NOUN
cana-3335	94	6	issn	issn	NOUN
cana-3335	94	7	:	:	PUNCT
cana-3335	94	8	1074	1074	NUM
cana-3335	94	9	-	-	PUNCT
cana-3335	94	10	133x	133x	NUM
cana-3335	94	11	vol	vol	NOUN
cana-3335	94	12	32	32	NUM
cana-3335	94	13	no	no	NOUN
cana-3335	94	14	.	.	PUNCT
cana-3335	95	1	7s	7	NOUN
cana-3335	95	2	(	(	PUNCT
cana-3335	95	3	2025	2025	NUM
cana-3335	95	4	)	)	PUNCT
cana-3335	95	5	17	17	NUM
cana-3335	95	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3335	95	7	algorithm	algorithm	NOUN
cana-3335	95	8	1	1	NUM
cana-3335	95	9	:	:	PUNCT
cana-3335	95	10	d	d	X
cana-3335	95	11	-	-	PUNCT
cana-3335	95	12	pattern	pattern	NOUN
cana-3335	95	13	mining	mining	NOUN
cana-3335	95	14	.	.	PUNCT
cana-3335	96	1	all	all	PRON
cana-3335	96	2	found	find	VERB
cana-3335	96	3	patterns	pattern	NOUN
cana-3335	96	4	in	in	ADP
cana-3335	96	5	a	a	DET
cana-3335	96	6	positive	positive	ADJ
cana-3335	96	7	document	document	NOUN
cana-3335	96	8	are	be	AUX
cana-3335	96	9	made	make	VERB
cana-3335	96	10	into	into	ADP
cana-3335	96	11	d	d	NOUN
cana-3335	96	12	-	-	NOUN
cana-3335	96	13	pattern	pattern	NOUN
cana-3335	96	14	provide	provide	VERB
cana-3335	96	15	the	the	DET
cana-3335	96	16	service	service	NOUN
cana-3335	96	17	a	a	DET
cana-3335	96	18	lot	lot	NOUN
cana-3335	96	19	of	of	ADP
cana-3335	96	20	dpatterns	dpattern	NOUN
cana-3335	96	21	stages	stage	VERB
cana-3335	96	22	6	6	NUM
cana-3335	96	23	to	to	ADP
cana-3335	96	24	stages	stage	NOUN
cana-3335	96	25	9	9	NUM
cana-3335	96	26	.	.	PUNCT
cana-3335	97	1	from	from	ADP
cana-3335	97	2	that	that	DET
cana-3335	97	3	point	point	NOUN
cana-3335	97	4	forward	forward	ADV
cana-3335	97	5	,	,	PUNCT
cana-3335	97	6	from	from	ADP
cana-3335	97	7	stages	stage	NOUN
cana-3335	97	8	12	12	NUM
cana-3335	97	9	to	to	PART
cana-3335	97	10	19	19	NUM
cana-3335	97	11	,	,	PUNCT
cana-3335	97	12	term	term	NOUN
cana-3335	97	13	upholds	uphold	NOUN
cana-3335	97	14	are	be	AUX
cana-3335	97	15	determined	determine	VERB
cana-3335	97	16	identified	identify	VERB
cana-3335	97	17	with	with	ADP
cana-3335	97	18	the	the	DET
cana-3335	97	19	ordinary	ordinary	ADJ
cana-3335	97	20	structures	structure	NOUN
cana-3335	97	21	for	for	ADP
cana-3335	97	22	all	all	DET
cana-3335	97	23	terms	term	NOUN
cana-3335	97	24	in	in	ADP
cana-3335	97	25	d	d	NOUN
cana-3335	97	26	-	-	PUNCT
cana-3335	97	27	patterns	pattern	NOUN
cana-3335	97	28	.	.	PUNCT
cana-3335	98	1	in	in	ADP
cana-3335	98	2	algorithm	algorithm	NOUN
cana-3335	98	3	1	1	NUM
cana-3335	98	4	,	,	PUNCT
cana-3335	98	5	(	(	PUNCT
cana-3335	98	6	d	d	NOUN
cana-3335	98	7	pattern	pattern	NOUN
cana-3335	98	8	mining	mining	NOUN
cana-3335	98	9	)	)	PUNCT
cana-3335	98	10	reveals	reveal	NOUN
cana-3335	98	11	describes	describe	VERB
cana-3335	98	12	the	the	DET
cana-3335	98	13	training	training	NOUN
cana-3335	98	14	process	process	NOUN
cana-3335	98	15	which	which	PRON
cana-3335	98	16	are	be	AUX
cana-3335	98	17	used	use	VERB
cana-3335	98	18	to	to	PART
cana-3335	98	19	find	find	VERB
cana-3335	98	20	the	the	DET
cana-3335	98	21	set	set	NOUN
cana-3335	98	22	of	of	ADP
cana-3335	98	23	d	d	NOUN
cana-3335	98	24	-	-	PUNCT
cana-3335	98	25	patterns	pattern	NOUN
cana-3335	98	26	.	.	PUNCT
cana-3335	99	1	the	the	DET
cana-3335	99	2	main	main	ADJ
cana-3335	99	3	goal	goal	NOUN
cana-3335	99	4	of	of	ADP
cana-3335	99	5	the	the	DET
cana-3335	99	6	deploying	deploying	NOUN
cana-3335	99	7	process	process	NOUN
cana-3335	99	8	is	be	AUX
cana-3335	99	9	to	to	PART
cana-3335	99	10	find	find	VERB
cana-3335	99	11	out	out	ADP
cana-3335	99	12	the	the	DET
cana-3335	99	13	d	d	NOUN
cana-3335	99	14	-	-	PUNCT
cana-3335	99	15	patterns	pattern	NOUN
cana-3335	99	16	which	which	PRON
cana-3335	99	17	are	be	AUX
cana-3335	99	18	available	available	ADJ
cana-3335	99	19	in	in	ADP
cana-3335	99	20	text	text	NOUN
cana-3335	99	21	documents	document	NOUN
cana-3335	99	22	and	and	CCONJ
cana-3335	99	23	also	also	ADV
cana-3335	99	24	for	for	ADP
cana-3335	99	25	finding	find	VERB
cana-3335	99	26	word	word	NOUN
cana-3335	99	27	support	support	NOUN
cana-3335	99	28	assessment	assessment	NOUN
cana-3335	99	29	.	.	PUNCT
cana-3335	100	1	in	in	ADP
cana-3335	100	2	these	these	DET
cana-3335	100	3	words	word	NOUN
cana-3335	100	4	supports	support	NOUN
cana-3335	100	5	are	be	AUX
cana-3335	100	6	determined	determine	VERB
cana-3335	100	7	on	on	ADP
cana-3335	100	8	the	the	DET
cana-3335	100	9	basis	basis	NOUN
cana-3335	100	10	of	of	ADP
cana-3335	100	11	all	all	DET
cana-3335	100	12	the	the	DET
cana-3335	100	13	words	word	NOUN
cana-3335	100	14	present	present	ADJ
cana-3335	100	15	in	in	ADP
cana-3335	100	16	the	the	DET
cana-3335	100	17	d	d	NOUN
cana-3335	100	18	-	-	PUNCT
cana-3335	100	19	patterns	pattern	NOUN
cana-3335	100	20	.	.	PUNCT
cana-3335	101	1	a	a	DET
cana-3335	101	2	set	set	NOUN
cana-3335	101	3	of	of	ADP
cana-3335	101	4	words	word	NOUN
cana-3335	101	5	or	or	CCONJ
cana-3335	101	6	keywords	keyword	NOUN
cana-3335	101	7	represented	represent	VERB
cana-3335	101	8	as	as	ADP
cana-3335	101	9	td=	td=	PROPN
cana-3335	101	10	{	{	PUNCT
cana-3335	101	11	td1	td1	PROPN
cana-3335	101	12	,	,	PUNCT
cana-3335	101	13	td2	td2	PROPN
cana-3335	101	14	…	…	SYM
cana-3335	101	15	tdn	tdn	NOUN
cana-3335	101	16	}	}	PUNCT
cana-3335	101	17	and	and	CCONJ
cana-3335	101	18	a	a	DET
cana-3335	101	19	sequence	sequence	NOUN
cana-3335	101	20	is	be	AUX
cana-3335	101	21	represented	represent	VERB
cana-3335	101	22	as	as	ADP
cana-3335	101	23	ss	ss	PROPN
cana-3335	101	24	=	=	PROPN
cana-3335	101	25	ss1	ss1	PROPN
cana-3335	101	26	,	,	PUNCT
cana-3335	101	27	ss2	ss2	PROPN
cana-3335	101	28	…	…	SYM
cana-3335	101	29	ssn	ssn	PROPN
cana-3335	101	30	where	where	SCONJ
cana-3335	101	31	ssi	ssi	PROPN
cana-3335	101	32	belongs	belong	VERB
cana-3335	101	33	to	to	ADP
cana-3335	101	34	the	the	DET
cana-3335	101	35	text	text	NOUN
cana-3335	101	36	documents	document	NOUN
cana-3335	101	37	as	as	ADP
cana-3335	101	38	td	td	PROPN
cana-3335	101	39	..	..	PUNCT
cana-3335	101	40	the	the	DET
cana-3335	101	41	d	d	NOUN
cana-3335	101	42	-	-	PUNCT
cana-3335	101	43	pattern	pattern	NOUN
cana-3335	101	44	effectively	effectively	ADV
cana-3335	101	45	discovered	discover	VERB
cana-3335	101	46	and	and	CCONJ
cana-3335	101	47	term	term	NOUN
cana-3335	101	48	support	support	NOUN
cana-3335	101	49	evaluations	evaluation	NOUN
cana-3335	101	50	are	be	AUX
cana-3335	101	51	main	main	ADJ
cana-3335	101	52	task	task	NOUN
cana-3335	101	53	for	for	ADP
cana-3335	101	54	finding	find	VERB
cana-3335	101	55	deploying	deploying	NOUN
cana-3335	101	56	process	process	NOUN
cana-3335	101	57	.	.	PUNCT
cana-3335	102	1	in	in	ADP
cana-3335	102	2	algorithm	algorithm	NOUN
cana-3335	102	3	1	1	NUM
cana-3335	102	4	,	,	PUNCT
cana-3335	102	5	a	a	DET
cana-3335	102	6	positive	positive	ADJ
cana-3335	102	7	document	document	NOUN
cana-3335	102	8	consists	consist	VERB
cana-3335	102	9	of	of	ADP
cana-3335	102	10	d	d	NOUN
cana-3335	102	11	-	-	PUNCT
cana-3335	102	12	patterns	pattern	NOUN
cana-3335	102	13	discovered	discover	VERB
cana-3335	102	14	patterns	pattern	NOUN
cana-3335	102	15	in	in	ADP
cana-3335	102	16	a	a	DET
cana-3335	102	17	positive	positive	ADJ
cana-3335	102	18	report	report	NOUN
cana-3335	102	19	.	.	PUNCT
cana-3335	103	1	these	these	PRON
cana-3335	103	2	are	be	AUX
cana-3335	103	3	represented	represent	VERB
cana-3335	103	4	as	as	ADP
cana-3335	103	5	a	a	DET
cana-3335	103	6	bunch	bunch	NOUN
cana-3335	103	7	of	of	ADP
cana-3335	103	8	d	d	NOUN
cana-3335	103	9	-	-	NOUN
cana-3335	103	10	designs	design	NOUN
cana-3335	103	11	.these	.these	VERB
cana-3335	104	1	d	d	X
cana-3335	104	2	-	-	NOUN
cana-3335	104	3	designs	design	NOUN
cana-3335	104	4	are	be	AUX
cana-3335	104	5	registered	register	VERB
cana-3335	104	6	for	for	ADP
cana-3335	104	7	all	all	DET
cana-3335	104	8	terms	term	NOUN
cana-3335	104	9	in	in	ADP
cana-3335	104	10	d	d	NOUN
cana-3335	104	11	-	-	NOUN
cana-3335	104	12	designs	design	NOUN
cana-3335	104	13	which	which	PRON
cana-3335	104	14	are	be	AUX
cana-3335	104	15	dependent	dependent	ADJ
cana-3335	104	16	on	on	ADP
cana-3335	104	17	ordinary	ordinary	ADJ
cana-3335	104	18	structures	structure	NOUN
cana-3335	104	19	.	.	PUNCT
cana-3335	105	1	[	[	X
cana-3335	105	2	13	13	NUM
cana-3335	105	3	]	]	PUNCT
cana-3335	105	4	.	.	PUNCT
cana-3335	106	1	the	the	DET
cana-3335	106	2	deployed	deploy	VERB
cana-3335	106	3	pattern	pattern	NOUN
cana-3335	106	4	is	be	AUX
cana-3335	106	5	discovered	discover	VERB
cana-3335	106	6	patterns	pattern	NOUN
cana-3335	106	7	effectively	effectively	ADV
cana-3335	106	8	and	and	CCONJ
cana-3335	106	9	they	they	PRON
cana-3335	106	10	are	be	AUX
cana-3335	106	11	grouped	group	VERB
cana-3335	106	12	up	up	ADP
cana-3335	106	13	.	.	PUNCT
cana-3335	107	1	the	the	DET
cana-3335	107	2	d	d	NOUN
cana-3335	107	3	-	-	PUNCT
cana-3335	107	4	pattern	pattern	NOUN
cana-3335	107	5	algorithms	algorithm	NOUN
cana-3335	107	6	are	be	AUX
cana-3335	107	7	used	use	VERB
cana-3335	107	8	for	for	ADP
cana-3335	107	9	finding	find	VERB
cana-3335	107	10	all	all	DET
cana-3335	107	11	patterns	pattern	NOUN
cana-3335	107	12	in	in	ADP
cana-3335	107	13	certain	certain	ADJ
cana-3335	107	14	documents	document	NOUN
cana-3335	107	15	is	be	AUX
cana-3335	107	16	gathered	gather	VERB
cana-3335	107	17	.	.	PUNCT
cana-3335	108	1	patterns	pattern	NOUN
cana-3335	108	2	are	be	AUX
cana-3335	108	3	organized	organize	VERB
cana-3335	108	4	in	in	ADP
cana-3335	108	5	specific	specific	ADJ
cana-3335	108	6	format	format	NOUN
cana-3335	108	7	it	it	PRON
cana-3335	108	8	evaluates	evaluate	VERB
cana-3335	108	9	term	term	NOUN
cana-3335	108	10	weights	weight	NOUN
cana-3335	108	11	&	&	CCONJ
cana-3335	108	12	discovered	discover	VERB
cana-3335	108	13	specific	specific	ADJ
cana-3335	108	14	patterns	pattern	NOUN
cana-3335	108	15	.	.	PUNCT
cana-3335	109	1	the	the	DET
cana-3335	109	2	d	d	ADJ
cana-3335	109	3	-	-	PUNCT
cana-3335	109	4	pattern	pattern	NOUN
cana-3335	109	5	terms	term	NOUN
cana-3335	109	6	are	be	AUX
cana-3335	109	7	processed	process	VERB
cana-3335	109	8	by	by	ADP
cana-3335	109	9	upholds	uphold	VERB
cana-3335	109	10	[	[	X
cana-3335	109	11	19	19	NUM
cana-3335	109	12	]	]	PUNCT
cana-3335	109	13	.	.	PUNCT
cana-3335	110	1	the	the	DET
cana-3335	110	2	evaluation	evaluation	NOUN
cana-3335	110	3	of	of	ADP
cana-3335	110	4	term	term	NOUN
cana-3335	110	5	support	support	NOUN
cana-3335	110	6	is	be	AUX
cana-3335	110	7	determined	determine	VERB
cana-3335	110	8	by	by	ADP
cana-3335	110	9	the	the	DET
cana-3335	110	10	weight	weight	NOUN
cana-3335	110	11	of	of	ADP
cana-3335	110	12	the	the	DET
cana-3335	110	13	term	term	NOUN
cana-3335	110	14	.	.	PUNCT
cana-3335	111	1	the	the	DET
cana-3335	111	2	semantically	semantically	ADV
cana-3335	111	3	rich	rich	ADJ
cana-3335	111	4	patterns	pattern	NOUN
cana-3335	111	5	are	be	AUX
cana-3335	111	6	extracted	extract	VERB
cana-3335	111	7	in	in	ADP
cana-3335	111	8	this	this	DET
cana-3335	111	9	manner	manner	NOUN
cana-3335	111	10	.	.	PUNCT
cana-3335	112	1	3.2	3.2	NUM
cana-3335	112	2	topic	topic	NOUN
cana-3335	112	3	modeling	model	VERB
cana-3335	112	4	the	the	DET
cana-3335	112	5	obtained	obtain	VERB
cana-3335	112	6	patterns	pattern	NOUN
cana-3335	112	7	are	be	AUX
cana-3335	112	8	incorporated	incorporate	VERB
cana-3335	112	9	in	in	ADP
cana-3335	112	10	a	a	DET
cana-3335	112	11	topic	topic	NOUN
cana-3335	112	12	modeling	model	VERB
cana-3335	112	13	algorithm	algorithm	NOUN
cana-3335	112	14	to	to	PART
cana-3335	112	15	extract	extract	VERB
cana-3335	112	16	topics	topic	NOUN
cana-3335	112	17	in	in	ADP
cana-3335	112	18	unstructured	unstructured	ADJ
cana-3335	112	19	manner	manner	NOUN
cana-3335	112	20	.	.	PUNCT
cana-3335	113	1	the	the	DET
cana-3335	113	2	topic	topic	NOUN
cana-3335	113	3	modeling	modeling	NOUN
cana-3335	113	4	part	part	NOUN
cana-3335	113	5	uses	use	VERB
cana-3335	113	6	lda	lda	PROPN
cana-3335	113	7	(	(	PUNCT
cana-3335	113	8	latent	latent	PROPN
cana-3335	113	9	dirichlet	dirichlet	PROPN
cana-3335	113	10	allocation	allocation	NOUN
cana-3335	113	11	)	)	PUNCT
cana-3335	113	12	model	model	NOUN
cana-3335	113	13	which	which	PRON
cana-3335	113	14	is	be	AUX
cana-3335	113	15	extended	extend	VERB
cana-3335	113	16	by	by	ADP
cana-3335	113	17	sampling	sample	VERB
cana-3335	113	18	weights	weight	NOUN
cana-3335	113	19	from	from	ADP
cana-3335	113	20	a	a	DET
cana-3335	113	21	dirichlet	dirichlet	NOUN
cana-3335	113	22	distribution	distribution	NOUN
cana-3335	113	23	,	,	PUNCT
cana-3335	113	24	the	the	DET
cana-3335	113	25	conjugate	conjugate	NOUN
cana-3335	113	26	prior	prior	ADV
cana-3335	113	27	to	to	ADP
cana-3335	113	28	the	the	DET
cana-3335	113	29	multinomial	multinomial	ADJ
cana-3335	113	30	distribution	distribution	NOUN
cana-3335	113	31	.	.	PUNCT
cana-3335	114	1	depending	depend	VERB
cana-3335	114	2	on	on	ADP
cana-3335	114	3	the	the	DET
cana-3335	114	4	frequency	frequency	NOUN
cana-3335	114	5	of	of	ADP
cana-3335	114	6	terms	term	NOUN
cana-3335	114	7	in	in	ADP
cana-3335	114	8	each	each	DET
cana-3335	114	9	cluster	cluster	NOUN
cana-3335	114	10	the	the	DET
cana-3335	114	11	topics	topic	NOUN
cana-3335	114	12	are	be	AUX
cana-3335	114	13	classified	classify	VERB
cana-3335	114	14	using	use	VERB
cana-3335	114	15	lda	lda	PROPN
cana-3335	115	1	[	[	X
cana-3335	115	2	18	18	NUM
cana-3335	115	3	]	]	PUNCT
cana-3335	115	4	.	.	PUNCT
cana-3335	116	1	the	the	DET
cana-3335	116	2	aim	aim	NOUN
cana-3335	116	3	is	be	AUX
cana-3335	116	4	to	to	PART
cana-3335	116	5	extract	extract	VERB
cana-3335	116	6	topics	topic	NOUN
cana-3335	116	7	from	from	ADP
cana-3335	116	8	research	research	NOUN
cana-3335	116	9	papers	paper	NOUN
cana-3335	116	10	and	and	CCONJ
cana-3335	116	11	use	use	VERB
cana-3335	116	12	it	it	PRON
cana-3335	116	13	for	for	ADP
cana-3335	116	14	classification	classification	NOUN
cana-3335	116	15	of	of	ADP
cana-3335	116	16	research	research	NOUN
cana-3335	116	17	articles	article	NOUN
cana-3335	116	18	.	.	PUNCT
cana-3335	117	1	the	the	DET
cana-3335	117	2	topic	topic	NOUN
cana-3335	117	3	terms	term	NOUN
cana-3335	117	4	are	be	AUX
cana-3335	117	5	obtained	obtain	VERB
cana-3335	117	6	using	use	VERB
cana-3335	117	7	cluster	cluster	NOUN
cana-3335	117	8	analysis	analysis	NOUN
cana-3335	117	9	,	,	PUNCT
cana-3335	117	10	d	d	NOUN
cana-3335	117	11	-	-	PUNCT
cana-3335	117	12	pattern	pattern	NOUN
cana-3335	117	13	and	and	CCONJ
cana-3335	117	14	inner	inner	ADJ
cana-3335	117	15	pattern	pattern	NOUN
cana-3335	117	16	evolving	evolve	VERB
cana-3335	117	17	algorithms	algorithm	NOUN
cana-3335	117	18	.	.	PUNCT
cana-3335	118	1	communications	communication	NOUN
cana-3335	118	2	on	on	ADP
cana-3335	118	3	applied	apply	VERB
cana-3335	118	4	nonlinear	nonlinear	ADJ
cana-3335	118	5	analysis	analysis	NOUN
cana-3335	118	6	issn	issn	NOUN
cana-3335	118	7	:	:	PUNCT
cana-3335	118	8	1074	1074	NUM
cana-3335	118	9	-	-	PUNCT
cana-3335	118	10	133x	133x	NUM
cana-3335	118	11	vol	vol	NOUN
cana-3335	118	12	32	32	NUM
cana-3335	118	13	no	no	NOUN
cana-3335	118	14	.	.	PUNCT
cana-3335	119	1	7s	7	NOUN
cana-3335	119	2	(	(	PUNCT
cana-3335	119	3	2025	2025	NUM
cana-3335	119	4	)	)	PUNCT
cana-3335	119	5	18	18	NUM
cana-3335	119	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3335	119	7	the	the	DET
cana-3335	119	8	usage	usage	NOUN
cana-3335	119	9	of	of	ADP
cana-3335	119	10	pattern	pattern	NOUN
cana-3335	119	11	mining	mining	NOUN
cana-3335	119	12	algorithms	algorithm	NOUN
cana-3335	119	13	with	with	ADP
cana-3335	119	14	lda	lda	PROPN
cana-3335	119	15	will	will	AUX
cana-3335	119	16	help	help	VERB
cana-3335	119	17	to	to	PART
cana-3335	119	18	extract	extract	VERB
cana-3335	119	19	semantic	semantic	ADJ
cana-3335	119	20	information	information	NOUN
cana-3335	119	21	from	from	ADP
cana-3335	119	22	texts	text	NOUN
cana-3335	119	23	as	as	SCONJ
cana-3335	119	24	it	it	PRON
cana-3335	119	25	represents	represent	VERB
cana-3335	119	26	term	term	NOUN
cana-3335	119	27	contextual	contextual	ADJ
cana-3335	119	28	information	information	NOUN
cana-3335	119	29	.	.	PUNCT
cana-3335	120	1	this	this	PRON
cana-3335	120	2	was	be	AUX
cana-3335	120	3	lacking	lack	VERB
cana-3335	120	4	in	in	ADP
cana-3335	120	5	lda	lda	PROPN
cana-3335	120	6	in	in	ADP
cana-3335	120	7	configure	configure	NOUN
cana-3335	120	8	ration	ration	NOUN
cana-3335	120	9	of	of	ADP
cana-3335	120	10	the	the	DET
cana-3335	120	11	subsequent	subsequent	ADJ
cana-3335	120	12	item	item	NOUN
cana-3335	120	13	terms	term	NOUN
cana-3335	120	14	and	and	CCONJ
cana-3335	120	15	points	point	NOUN
cana-3335	120	16	.	.	PUNCT
cana-3335	121	1	this	this	DET
cana-3335	121	2	extension	extension	NOUN
cana-3335	121	3	allows	allow	VERB
cana-3335	121	4	the	the	DET
cana-3335	121	5	model	model	NOUN
cana-3335	121	6	to	to	PART
cana-3335	121	7	assign	assign	VERB
cana-3335	121	8	probabilities	probability	NOUN
cana-3335	121	9	to	to	ADP
cana-3335	121	10	data	datum	NOUN
cana-3335	121	11	outside	outside	ADP
cana-3335	121	12	the	the	DET
cana-3335	121	13	training	training	NOUN
cana-3335	121	14	corpus	corpus	NOUN
cana-3335	121	15	and	and	CCONJ
cana-3335	121	16	uses	use	VERB
cana-3335	121	17	fewer	few	ADJ
cana-3335	121	18	parameters	parameter	NOUN
cana-3335	121	19	,	,	PUNCT
cana-3335	121	20	thus	thus	ADV
cana-3335	121	21	reducing	reduce	VERB
cana-3335	121	22	overfitting	overfitting	NOUN
cana-3335	121	23	.	.	PUNCT
cana-3335	122	1	in	in	ADP
cana-3335	122	2	lda	lda	PROPN
cana-3335	122	3	first	first	ADJ
cana-3335	122	4	start	start	VERB
cana-3335	122	5	with	with	ADP
cana-3335	122	6	assuming	assume	VERB
cana-3335	122	7	‘	'	PUNCT
cana-3335	122	8	t	t	NOUN
cana-3335	122	9	’	'	PUNCT
cana-3335	122	10	topics	topic	NOUN
cana-3335	122	11	in	in	ADP
cana-3335	122	12	the	the	DET
cana-3335	122	13	document	document	NOUN
cana-3335	122	14	.	.	PUNCT
cana-3335	123	1	the	the	DET
cana-3335	123	2	circle	circle	NOUN
cana-3335	123	3	through	through	ADP
cana-3335	123	4	‘	'	PUNCT
cana-3335	123	5	d	d	NOUN
cana-3335	123	6	’	'	PUNCT
cana-3335	123	7	the	the	DET
cana-3335	123	8	document	document	NOUN
cana-3335	123	9	and	and	CCONJ
cana-3335	123	10	distribute	distribute	VERB
cana-3335	123	11	each	each	DET
cana-3335	123	12	word	word	NOUN
cana-3335	123	13	in	in	ADP
cana-3335	123	14	the	the	DET
cana-3335	123	15	report	report	NOUN
cana-3335	123	16	of	of	ADP
cana-3335	123	17	any	any	PRON
cana-3335	123	18	of	of	ADP
cana-3335	123	19	the	the	DET
cana-3335	123	20	'	'	PUNCT
cana-3335	123	21	t	t	NOUN
cana-3335	123	22	'	'	PART
cana-3335	123	23	topics	topic	NOUN
cana-3335	123	24	.	.	PUNCT
cana-3335	124	1	in	in	ADP
cana-3335	124	2	step	step	NOUN
cana-3335	124	3	7	7	NUM
cana-3335	124	4	ad	ad	NOUN
cana-3335	124	5	8	8	NUM
cana-3335	124	6	for	for	ADP
cana-3335	124	7	each	each	DET
cana-3335	124	8	document	document	NOUN
cana-3335	124	9	loop	loop	NOUN
cana-3335	124	10	through	through	ADP
cana-3335	124	11	each	each	DET
cana-3335	124	12	word	word	NOUN
cana-3335	124	13	w	w	NOUN
cana-3335	124	14	and	and	CCONJ
cana-3335	124	15	compute	compute	VERB
cana-3335	124	16	p(wj|tk	p(wj|tk	PROPN
cana-3335	124	17	)	)	PUNCT
cana-3335	124	18	and	and	CCONJ
cana-3335	124	19	p(tk|di).after	p(tk|di).after	NOUN
cana-3335	124	20	completing	complete	VERB
cana-3335	124	21	the	the	DET
cana-3335	124	22	calculation	calculation	NOUN
cana-3335	124	23	then	then	ADV
cana-3335	124	24	follow	follow	VERB
cana-3335	124	25	the	the	DET
cana-3335	124	26	step	step	NOUN
cana-3335	124	27	9	9	NUM
cana-3335	124	28	for	for	ADP
cana-3335	124	29	update	update	NOUN
cana-3335	124	30	the	the	DET
cana-3335	124	31	p(wj|tkid	p(wj|tkid	NOUN
cana-3335	124	32	)	)	PUNCT
cana-3335	124	33	such	such	ADJ
cana-3335	124	34	as	as	ADP
cana-3335	124	35	p(wj|tkidi	p(wj|tkidi	NOUN
cana-3335	124	36	)	)	PUNCT
cana-3335	124	37	=	=	SYM
cana-3335	125	1	p(tk|di	p(tk|di	NUM
cana-3335	125	2	)	)	PUNCT
cana-3335	125	3	×	×	PROPN
cana-3335	125	4	p(wj|tk	p(wj|tk	PROPN
cana-3335	125	5	)	)	PUNCT
cana-3335	125	6	,	,	PUNCT
cana-3335	125	7	until	until	ADP
cana-3335	125	8	the	the	DET
cana-3335	125	9	loop	loop	NOUN
cana-3335	125	10	through	through	ADP
cana-3335	125	11	each	each	DET
cana-3335	125	12	word	word	NOUN
cana-3335	125	13	in	in	ADP
cana-3335	125	14	each	each	DET
cana-3335	125	15	document	document	NOUN
cana-3335	125	16	.	.	PUNCT
cana-3335	126	1	in	in	ADP
cana-3335	126	2	step	step	NOUN
cana-3335	126	3	10	10	NUM
cana-3335	126	4	reassign	reassign	VERB
cana-3335	126	5	the	the	DET
cana-3335	126	6	topic	topic	NOUN
cana-3335	126	7	for	for	ADP
cana-3335	126	8	currently	currently	ADV
cana-3335	126	9	selected	select	VERB
cana-3335	126	10	word	word	NOUN
cana-3335	126	11	based	base	VERB
cana-3335	126	12	on	on	ADP
cana-3335	126	13	p	p	PROPN
cana-3335	126	14	(	(	PUNCT
cana-3335	126	15	wj|tkidi).other	wj|tkidi).other	ADV
cana-3335	126	16	repeat	repeat	VERB
cana-3335	126	17	for	for	ADP
cana-3335	126	18	all	all	DET
cana-3335	126	19	process	process	NOUN
cana-3335	126	20	in	in	ADP
cana-3335	126	21	the	the	DET
cana-3335	126	22	entire	entire	ADJ
cana-3335	126	23	document	document	NOUN
cana-3335	126	24	,	,	PUNCT
cana-3335	126	25	finally	finally	ADV
cana-3335	126	26	collected	collect	VERB
cana-3335	126	27	the	the	DET
cana-3335	126	28	model	model	NOUN
cana-3335	126	29	.	.	PUNCT
cana-3335	127	1	the	the	DET
cana-3335	127	2	model	model	NOUN
cana-3335	127	3	is	be	AUX
cana-3335	127	4	evaluated	evaluate	VERB
cana-3335	127	5	on	on	ADP
cana-3335	127	6	known	know	VERB
cana-3335	127	7	text	text	NOUN
cana-3335	127	8	samples	sample	NOUN
cana-3335	127	9	,	,	PUNCT
cana-3335	127	10	and	and	CCONJ
cana-3335	127	11	validated	validate	VERB
cana-3335	127	12	.	.	PUNCT
cana-3335	128	1	the	the	DET
cana-3335	128	2	model	model	NOUN
cana-3335	128	3	sometimes	sometimes	ADV
cana-3335	128	4	,	,	PUNCT
cana-3335	128	5	falsely	falsely	ADV
cana-3335	128	6	assign	assign	VERB
cana-3335	128	7	a	a	DET
cana-3335	128	8	positive	positive	ADJ
cana-3335	128	9	pattern	pattern	NOUN
cana-3335	128	10	for	for	ADP
cana-3335	128	11	a	a	DET
cana-3335	128	12	topic	topic	NOUN
cana-3335	128	13	as	as	ADP
cana-3335	128	14	negative	negative	ADJ
cana-3335	128	15	.	.	PUNCT
cana-3335	129	1	to	to	PART
cana-3335	129	2	solve	solve	VERB
cana-3335	129	3	the	the	DET
cana-3335	129	4	issue	issue	NOUN
cana-3335	129	5	,	,	PUNCT
cana-3335	129	6	pattern	pattern	NOUN
cana-3335	129	7	improvement	improvement	NOUN
cana-3335	129	8	module	module	NOUN
cana-3335	129	9	is	be	AUX
cana-3335	129	10	used	use	VERB
cana-3335	129	11	.	.	PUNCT
cana-3335	130	1	3.3	3.3	NUM
cana-3335	130	2	pattern	pattern	NOUN
cana-3335	130	3	improvements	improvement	NOUN
cana-3335	130	4	:	:	PUNCT
cana-3335	130	5	inner	inner	ADJ
cana-3335	130	6	pattern	pattern	NOUN
cana-3335	130	7	evolving	evolve	VERB
cana-3335	130	8	:	:	PUNCT
cana-3335	130	9	the	the	DET
cana-3335	130	10	ipe	ipe	NOUN
cana-3335	130	11	procedure	procedure	NOUN
cana-3335	130	12	is	be	AUX
cana-3335	130	13	utilized	utilize	VERB
cana-3335	130	14	to	to	PART
cana-3335	130	15	decrease	decrease	VERB
cana-3335	130	16	the	the	DET
cana-3335	130	17	results	result	NOUN
cana-3335	130	18	of	of	ADP
cana-3335	130	19	noise	noise	NOUN
cana-3335	130	20	patterns	pattern	NOUN
cana-3335	130	21	.	.	PUNCT
cana-3335	131	1	ptm	ptm	PROPN
cana-3335	131	2	algorithm	algorithm	NOUN
cana-3335	131	3	is	be	AUX
cana-3335	131	4	used	use	VERB
cana-3335	131	5	for	for	ADP
cana-3335	131	6	finding	find	VERB
cana-3335	131	7	d	d	NOUN
cana-3335	131	8	-	-	PUNCT
cana-3335	131	9	patterns	pattern	NOUN
cana-3335	131	10	in	in	ADP
cana-3335	131	11	the	the	DET
cana-3335	131	12	positive	positive	ADJ
cana-3335	131	13	documents(d+	documents(d+	NOUN
cana-3335	131	14	)	)	PUNCT
cana-3335	131	15	which	which	PRON
cana-3335	131	16	are	be	AUX
cana-3335	131	17	based	base	VERB
cana-3335	131	18	on	on	ADP
cana-3335	131	19	minimum	minimum	NOUN
cana-3335	131	20	support	support	NOUN
cana-3335	131	21	and	and	CCONJ
cana-3335	131	22	d	d	X
cana-3335	131	23	-	-	PUNCT
cana-3335	131	24	patterns	pattern	NOUN
cana-3335	131	25	are	be	AUX
cana-3335	131	26	deployed	deploy	VERB
cana-3335	131	27	for	for	SCONJ
cana-3335	131	28	find	find	VERB
cana-3335	131	29	out	out	ADP
cana-3335	131	30	the	the	DET
cana-3335	131	31	term	term	NOUN
cana-3335	131	32	support[13]in	support[13]in	NUM
cana-3335	131	33	the	the	DET
cana-3335	131	34	test	test	NOUN
cana-3335	131	35	phase	phase	NOUN
cana-3335	131	36	,	,	PUNCT
cana-3335	131	37	it	it	PRON
cana-3335	131	38	calculates	calculate	VERB
cana-3335	131	39	the	the	DET
cana-3335	131	40	weights	weight	NOUN
cana-3335	131	41	for	for	ADP
cana-3335	131	42	all	all	DET
cana-3335	131	43	incoming	incoming	ADJ
cana-3335	131	44	documents	document	NOUN
cana-3335	131	45	it	it	PRON
cana-3335	131	46	can	can	AUX
cana-3335	131	47	be	be	AUX
cana-3335	131	48	sorted	sort	VERB
cana-3335	131	49	by	by	ADP
cana-3335	131	50	based	base	VERB
cana-3335	131	51	on	on	ADP
cana-3335	131	52	weights	weight	NOUN
cana-3335	131	53	.	.	PUNCT
cana-3335	132	1	to	to	PART
cana-3335	132	2	discovered	discover	VERB
cana-3335	132	3	the	the	DET
cana-3335	132	4	patterns	pattern	NOUN
cana-3335	132	5	are	be	AUX
cana-3335	132	6	much	much	ADV
cana-3335	132	7	more	more	ADV
cana-3335	132	8	specific	specific	ADJ
cana-3335	132	9	than	than	ADP
cana-3335	132	10	all	all	DET
cana-3335	132	11	documents	document	NOUN
cana-3335	132	12	.	.	PUNCT
cana-3335	133	1	now	now	ADV
cana-3335	133	2	and	and	CCONJ
cana-3335	133	3	then	then	ADV
cana-3335	133	4	,	,	PUNCT
cana-3335	133	5	the	the	DET
cana-3335	133	6	framework	framework	NOUN
cana-3335	133	7	falsely	falsely	ADV
cana-3335	133	8	lessened	lessen	VERB
cana-3335	133	9	negative	negative	ADJ
cana-3335	133	10	document	document	NOUN
cana-3335	133	11	as	as	ADP
cana-3335	133	12	a	a	DET
cana-3335	133	13	positive	positive	ADJ
cana-3335	133	14	document	document	NOUN
cana-3335	133	15	and	and	CCONJ
cana-3335	133	16	diminish	diminish	VERB
cana-3335	133	17	the	the	DET
cana-3335	133	18	noise	noise	NOUN
cana-3335	133	19	documents	document	NOUN
cana-3335	133	20	.	.	PUNCT
cana-3335	134	1	construct	construct	VERB
cana-3335	134	2	conditional	conditional	ADJ
cana-3335	134	3	frequent	frequent	ADJ
cana-3335	134	4	pattern	pattern	NOUN
cana-3335	134	5	tree	tree	NOUN
cana-3335	134	6	from	from	ADP
cana-3335	134	7	each	each	DET
cana-3335	134	8	pattern	pattern	NOUN
cana-3335	134	9	base	base	NOUN
cana-3335	134	10	.	.	PUNCT
cana-3335	135	1	conditional	conditional	ADJ
cana-3335	135	2	frequent	frequent	ADJ
cana-3335	135	3	pattern	pattern	NOUN
cana-3335	135	4	trees	tree	NOUN
cana-3335	135	5	and	and	CCONJ
cana-3335	135	6	grows	grow	VERB
cana-3335	135	7	frequent	frequent	ADJ
cana-3335	135	8	patterns	pattern	NOUN
cana-3335	135	9	obtained	obtain	VERB
cana-3335	135	10	so	so	ADV
cana-3335	135	11	far	far	ADV
cana-3335	135	12	.	.	PUNCT
cana-3335	136	1	if	if	SCONJ
cana-3335	136	2	the	the	DET
cana-3335	136	3	conditional	conditional	ADJ
cana-3335	136	4	frequent	frequent	ADJ
cana-3335	136	5	pattern	pattern	NOUN
cana-3335	136	6	-tree	-tree	NOUN
cana-3335	136	7	contains	contain	VERB
cana-3335	136	8	a	a	DET
cana-3335	136	9	single	single	ADJ
cana-3335	136	10	path	path	NOUN
cana-3335	136	11	,	,	PUNCT
cana-3335	136	12	simply	simply	ADV
cana-3335	136	13	enumerate	enumerate	VERB
cana-3335	136	14	all	all	DET
cana-3335	136	15	the	the	DET
cana-3335	136	16	patterns	pattern	NOUN
cana-3335	136	17	[	[	X
cana-3335	136	18	15	15	NUM
cana-3335	136	19	]	]	PUNCT
cana-3335	136	20	.	.	PUNCT
cana-3335	137	1	the	the	DET
cana-3335	137	2	improved	improved	ADJ
cana-3335	137	3	ipe	ipe	NOUN
cana-3335	137	4	will	will	AUX
cana-3335	137	5	be	be	AUX
cana-3335	137	6	applicable	applicable	ADJ
cana-3335	137	7	to	to	ADP
cana-3335	137	8	the	the	DET
cana-3335	137	9	low	low	ADJ
cana-3335	137	10	frequency	frequency	NOUN
cana-3335	137	11	patterns	pattern	NOUN
cana-3335	137	12	of	of	ADP
cana-3335	137	13	text	text	NOUN
cana-3335	137	14	mining	mining	NOUN
cana-3335	137	15	for	for	ADP
cana-3335	137	16	the	the	DET
cana-3335	137	17	clients	client	NOUN
cana-3335	137	18	.the	.the	PRON
cana-3335	137	19	consideration	consideration	NOUN
cana-3335	137	20	of	of	ADP
cana-3335	137	21	further	further	ADJ
cana-3335	137	22	developed	develop	VERB
cana-3335	137	23	internal	internal	ADJ
cana-3335	137	24	pattern	pattern	NOUN
cana-3335	137	25	evolving	evolving	NOUN
cana-3335	137	26	has	have	AUX
cana-3335	137	27	been	be	AUX
cana-3335	137	28	demonstrated	demonstrate	VERB
cana-3335	137	29	to	to	PART
cana-3335	137	30	expand	expand	VERB
cana-3335	137	31	accuracy	accuracy	NOUN
cana-3335	137	32	that	that	PRON
cana-3335	137	33	is	be	AUX
cana-3335	137	34	the	the	DET
cana-3335	137	35	undesirable	undesirable	ADJ
cana-3335	137	36	impacts	impact	NOUN
cana-3335	137	37	of	of	ADP
cana-3335	137	38	regular	regular	ADJ
cana-3335	137	39	item	item	NOUN
cana-3335	137	40	-	-	PUNCT
cana-3335	137	41	set	set	VERB
cana-3335	137	42	mining	mining	NOUN
cana-3335	137	43	methods	method	NOUN
cana-3335	137	44	have	have	AUX
cana-3335	137	45	been	be	AUX
cana-3335	137	46	disposed	dispose	VERB
cana-3335	137	47	of	of	ADP
cana-3335	137	48	significantly	significantly	ADV
cana-3335	137	49	by	by	ADP
cana-3335	137	50	the	the	DET
cana-3335	137	51	proposed	propose	VERB
cana-3335	137	52	framework	framework	NOUN
cana-3335	137	53	.	.	PUNCT
cana-3335	138	1	3.4	3.4	NUM
cana-3335	138	2	hclust	hclust	NOUN
cana-3335	138	3	algorithm	algorithm	PROPN
cana-3335	138	4	:	:	PUNCT
cana-3335	138	5	the	the	DET
cana-3335	138	6	agglomerative	agglomerative	ADJ
cana-3335	138	7	clustering	clustering	ADJ
cana-3335	138	8	works	work	NOUN
cana-3335	138	9	in	in	ADP
cana-3335	138	10	a	a	DET
cana-3335	138	11	‘	'	PUNCT
cana-3335	138	12	bottom	bottom	ADJ
cana-3335	138	13	-	-	PUNCT
cana-3335	138	14	up	up	ADP
cana-3335	138	15	’	'	PUNCT
cana-3335	138	16	manner	manner	NOUN
cana-3335	138	17	.	.	PUNCT
cana-3335	139	1	each	each	DET
cana-3335	139	2	object	object	NOUN
cana-3335	139	3	is	be	AUX
cana-3335	139	4	initially	initially	ADV
cana-3335	139	5	considered	consider	VERB
cana-3335	139	6	as	as	ADP
cana-3335	139	7	a	a	DET
cana-3335	139	8	single	single	ADJ
cana-3335	139	9	-	-	PUNCT
cana-3335	139	10	element	element	NOUN
cana-3335	139	11	cluster	cluster	NOUN
cana-3335	139	12	(	(	PUNCT
cana-3335	139	13	leaf	leaf	NOUN
cana-3335	139	14	)	)	PUNCT
cana-3335	139	15	.	.	PUNCT
cana-3335	140	1	at	at	ADP
cana-3335	140	2	each	each	DET
cana-3335	140	3	step	step	NOUN
cana-3335	140	4	of	of	ADP
cana-3335	140	5	the	the	DET
cana-3335	140	6	algorithm	algorithm	NOUN
cana-3335	140	7	,	,	PUNCT
cana-3335	140	8	the	the	DET
cana-3335	140	9	two	two	NUM
cana-3335	140	10	clusters	cluster	NOUN
cana-3335	140	11	that	that	PRON
cana-3335	140	12	are	be	AUX
cana-3335	140	13	the	the	DET
cana-3335	140	14	most	most	ADV
cana-3335	140	15	similar	similar	ADJ
cana-3335	140	16	are	be	AUX
cana-3335	140	17	combined	combine	VERB
cana-3335	140	18	into	into	ADP
cana-3335	140	19	a	a	DET
cana-3335	140	20	new	new	ADJ
cana-3335	140	21	bigger	big	ADJ
cana-3335	140	22	cluster	cluster	NOUN
cana-3335	140	23	nodes[16	nodes[16	NOUN
cana-3335	140	24	]	]	X
cana-3335	140	25	.	.	PUNCT
cana-3335	141	1	the	the	DET
cana-3335	141	2	agglomerative	agglomerative	ADJ
cana-3335	141	3	hierarchical	hierarchical	ADJ
cana-3335	141	4	clustering	clustering	NOUN
cana-3335	141	5	is	be	AUX
cana-3335	141	6	the	the	DET
cana-3335	141	7	most	most	ADV
cana-3335	141	8	common	common	ADJ
cana-3335	141	9	type	type	NOUN
cana-3335	141	10	of	of	ADP
cana-3335	141	11	hierarchical	hierarchical	ADJ
cana-3335	141	12	clustering	clustering	NOUN
cana-3335	141	13	used	use	VERB
cana-3335	141	14	to	to	ADP
cana-3335	141	15	group	group	NOUN
cana-3335	141	16	objects	object	NOUN
cana-3335	141	17	in	in	ADP
cana-3335	141	18	clusters	cluster	NOUN
cana-3335	141	19	based	base	VERB
cana-3335	141	20	on	on	ADP
cana-3335	141	21	their	their	PRON
cana-3335	141	22	similarity	similarity	NOUN
cana-3335	141	23	.	.	PUNCT
cana-3335	142	1	it	it	PRON
cana-3335	142	2	’s	’s	AUX
cana-3335	142	3	also	also	ADV
cana-3335	142	4	known	know	VERB
cana-3335	142	5	as	as	ADP
cana-3335	142	6	agnes	agnes	PROPN
cana-3335	142	7	(	(	PUNCT
cana-3335	142	8	agglomerative	agglomerative	ADJ
cana-3335	142	9	nesting	nesting	NOUN
cana-3335	142	10	)	)	PUNCT
cana-3335	142	11	.	.	PUNCT
cana-3335	143	1	in	in	ADP
cana-3335	143	2	above	above	ADP
cana-3335	143	3	algorithm	algorithm	NOUN
cana-3335	143	4	,	,	PUNCT
cana-3335	143	5	step1	step1	PROPN
cana-3335	143	6	for	for	ADP
cana-3335	143	7	preparing	prepare	VERB
cana-3335	143	8	the	the	DET
cana-3335	143	9	input	input	NOUN
cana-3335	143	10	data	datum	NOUN
cana-3335	143	11	in	in	ADP
cana-3335	143	12	all	all	DET
cana-3335	143	13	documents	document	NOUN
cana-3335	143	14	,	,	PUNCT
cana-3335	143	15	in	in	ADP
cana-3335	143	16	step	step	NOUN
cana-3335	143	17	2	2	NUM
cana-3335	143	18	loop	loop	NOUN
cana-3335	143	19	the	the	DET
cana-3335	143	20	pair	pair	NOUN
cana-3335	143	21	of	of	ADP
cana-3335	143	22	cluster	cluster	NOUN
cana-3335	143	23	p1	p1	NOUN
cana-3335	143	24	and	and	CCONJ
cana-3335	143	25	p2	p2	PROPN
cana-3335	143	26	then	then	ADV
cana-3335	143	27	merges	merge	VERB
cana-3335	143	28	the	the	DET
cana-3335	143	29	clusters	cluster	NOUN
cana-3335	143	30	.	.	PUNCT
cana-3335	144	1	in	in	ADP
cana-3335	144	2	step4	step4	PROPN
cana-3335	144	3	computing	computing	PROPN
cana-3335	144	4	similarity	similarity	NOUN
cana-3335	144	5	information	information	NOUN
cana-3335	144	6	between	between	ADP
cana-3335	144	7	every	every	DET
cana-3335	144	8	pair	pair	NOUN
cana-3335	144	9	of	of	ADP
cana-3335	144	10	clusters	cluster	NOUN
cana-3335	144	11	in	in	ADP
cana-3335	144	12	the	the	DET
cana-3335	144	13	data	datum	NOUN
cana-3335	144	14	set	set	VERB
cana-3335	144	15	.	.	PUNCT
cana-3335	145	1	repeat	repeat	VERB
cana-3335	145	2	the	the	DET
cana-3335	145	3	step2	step2	PROPN
cana-3335	145	4	and	and	CCONJ
cana-3335	145	5	step3	step3	PROPN
cana-3335	145	6	,	,	PUNCT
cana-3335	145	7	until	until	ADP
cana-3335	145	8	a	a	DET
cana-3335	145	9	single	single	ADJ
cana-3335	145	10	cluster	cluster	NOUN
cana-3335	145	11	containing	contain	VERB
cana-3335	145	12	the	the	DET
cana-3335	145	13	group	group	NOUN
cana-3335	145	14	of	of	ADP
cana-3335	145	15	all	all	DET
cana-3335	145	16	documents	document	NOUN
cana-3335	145	17	.	.	PUNCT
cana-3335	146	1	in	in	ADP
cana-3335	146	2	step	step	NOUN
cana-3335	146	3	6	6	NUM
cana-3335	146	4	determining	determine	VERB
cana-3335	146	5	the	the	PRON
cana-3335	146	6	most	most	ADV
cana-3335	146	7	commonly	commonly	ADV
cana-3335	146	8	used	use	VERB
cana-3335	146	9	a	a	DET
cana-3335	146	10	threshold	threshold	NOUN
cana-3335	146	11	value	value	NOUN
cana-3335	146	12	.	.	PUNCT
cana-3335	147	1	the	the	DET
cana-3335	147	2	patterns	pattern	NOUN
cana-3335	147	3	that	that	PRON
cana-3335	147	4	make	make	VERB
cana-3335	147	5	up	up	ADP
cana-3335	147	6	each	each	DET
cana-3335	147	7	topic	topic	NOUN
cana-3335	147	8	will	will	AUX
cana-3335	147	9	be	be	AUX
cana-3335	147	10	clustered	cluster	VERB
cana-3335	147	11	according	accord	VERB
cana-3335	147	12	to	to	ADP
cana-3335	147	13	their	their	PRON
cana-3335	147	14	sematic	sematic	ADJ
cana-3335	147	15	similarity	similarity	NOUN
cana-3335	147	16	scores	score	NOUN
cana-3335	147	17	.	.	PUNCT
cana-3335	148	1	it	it	PRON
cana-3335	148	2	forms	form	VERB
cana-3335	148	3	the	the	DET
cana-3335	148	4	data	datum	NOUN
cana-3335	148	5	dictionary	dictionary	NOUN
cana-3335	148	6	for	for	ADP
cana-3335	148	7	future	future	ADJ
cana-3335	148	8	classification	classification	NOUN
cana-3335	148	9	tasks	task	NOUN
cana-3335	148	10	.	.	PUNCT
cana-3335	149	1	the	the	DET
cana-3335	149	2	dictionary	dictionary	NOUN
cana-3335	149	3	is	be	AUX
cana-3335	149	4	again	again	ADV
cana-3335	149	5	fed	feed	VERB
cana-3335	149	6	into	into	ADP
cana-3335	149	7	the	the	DET
cana-3335	149	8	topic	topic	NOUN
cana-3335	149	9	model	model	NOUN
cana-3335	149	10	for	for	ADP
cana-3335	149	11	validation	validation	NOUN
cana-3335	149	12	.	.	PUNCT
cana-3335	150	1	the	the	DET
cana-3335	150	2	steps	step	NOUN
cana-3335	150	3	are	be	AUX
cana-3335	150	4	repeated	repeat	VERB
cana-3335	150	5	until	until	SCONJ
cana-3335	150	6	optimal	optimal	ADJ
cana-3335	150	7	accuracy	accuracy	NOUN
cana-3335	150	8	is	be	AUX
cana-3335	150	9	obtained	obtain	VERB
cana-3335	150	10	.	.	PUNCT
cana-3335	151	1	communications	communication	NOUN
cana-3335	151	2	on	on	ADP
cana-3335	151	3	applied	apply	VERB
cana-3335	151	4	nonlinear	nonlinear	ADJ
cana-3335	151	5	analysis	analysis	NOUN
cana-3335	151	6	issn	issn	NOUN
cana-3335	151	7	:	:	PUNCT
cana-3335	151	8	1074	1074	NUM
cana-3335	151	9	-	-	PUNCT
cana-3335	151	10	133x	133x	NUM
cana-3335	151	11	vol	vol	NOUN
cana-3335	151	12	32	32	NUM
cana-3335	151	13	no	no	NOUN
cana-3335	151	14	.	.	PUNCT
cana-3335	152	1	7s	7	NOUN
cana-3335	152	2	(	(	PUNCT
cana-3335	152	3	2025	2025	NUM
cana-3335	152	4	)	)	PUNCT
cana-3335	152	5	19	19	NUM
cana-3335	152	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3335	152	7	4	4	NUM
cana-3335	152	8	.	.	PUNCT
cana-3335	152	9	experimental	experimental	ADJ
cana-3335	152	10	results	result	NOUN
cana-3335	152	11	4.1	4.1	NUM
cana-3335	152	12	datasets	dataset	NOUN
cana-3335	152	13	:	:	PUNCT
cana-3335	152	14	reddit	reddit	NOUN
cana-3335	152	15	submission	submission	NOUN
cana-3335	152	16	corpus	corpus	PROPN
cana-3335	152	17	:	:	PUNCT
cana-3335	152	18	subsetted	subsette	VERB
cana-3335	152	19	from	from	ADP
cana-3335	152	20	master	master	NOUN
cana-3335	152	21	dataset	dataset	VERB
cana-3335	152	22	from	from	ADP
cana-3335	152	23	reddit	reddit	NOUN
cana-3335	152	24	user	user	NOUN
cana-3335	152	25	submitted	submit	VERB
cana-3335	152	26	data	datum	NOUN
cana-3335	152	27	,	,	PUNCT
cana-3335	152	28	amounting	amount	VERB
cana-3335	152	29	to	to	ADP
cana-3335	152	30	40,000	40,000	NUM
cana-3335	152	31	entries	entry	NOUN
cana-3335	152	32	related	relate	VERB
cana-3335	152	33	to	to	ADP
cana-3335	152	34	health	health	NOUN
cana-3335	152	35	ailments	ailment	NOUN
cana-3335	152	36	.	.	PUNCT
cana-3335	153	1	the	the	DET
cana-3335	153	2	submissions	submission	NOUN
cana-3335	153	3	that	that	PRON
cana-3335	153	4	had	have	AUX
cana-3335	153	5	longer	long	ADJ
cana-3335	153	6	text	text	NOUN
cana-3335	153	7	content	content	NOUN
cana-3335	153	8	were	be	AUX
cana-3335	153	9	used	use	VERB
cana-3335	153	10	for	for	ADP
cana-3335	153	11	the	the	DET
cana-3335	153	12	analysis	analysis	NOUN
cana-3335	153	13	[	[	X
cana-3335	153	14	citation_needed	citation_neede	VERB
cana-3335	153	15	]	]	PUNCT
cana-3335	153	16	.	.	PUNCT
cana-3335	154	1	yelp	yelp	NOUN
cana-3335	154	2	dataset	dataset	NOUN
cana-3335	154	3	for	for	ADP
cana-3335	154	4	academia	academia	NOUN
cana-3335	154	5	with	with	ADP
cana-3335	154	6	25,000	25,000	NUM
cana-3335	154	7	entries	entry	NOUN
cana-3335	154	8	related	relate	VERB
cana-3335	154	9	to	to	ADP
cana-3335	154	10	topic	topic	NOUN
cana-3335	154	11	based	base	VERB
cana-3335	154	12	content	content	NOUN
cana-3335	154	13	is	be	AUX
cana-3335	154	14	included	include	VERB
cana-3335	154	15	as	as	ADP
cana-3335	154	16	another	another	DET
cana-3335	154	17	comparison	comparison	NOUN
cana-3335	154	18	dataset	dataset	VERB
cana-3335	154	19	.	.	PUNCT
cana-3335	155	1	amazon	amazon	NOUN
cana-3335	155	2	product	product	NOUN
cana-3335	155	3	reviews	review	NOUN
cana-3335	155	4	that	that	PRON
cana-3335	155	5	share	share	VERB
cana-3335	155	6	elaborate	elaborate	ADJ
cana-3335	155	7	review	review	NOUN
cana-3335	155	8	for	for	ADP
cana-3335	155	9	various	various	ADJ
cana-3335	155	10	products	product	NOUN
cana-3335	155	11	summing	sum	VERB
cana-3335	155	12	up	up	ADP
cana-3335	155	13	to	to	PART
cana-3335	155	14	15,000	15,000	NUM
cana-3335	155	15	entries	entry	NOUN
cana-3335	155	16	were	be	AUX
cana-3335	155	17	included	include	VERB
cana-3335	155	18	for	for	ADP
cana-3335	155	19	comparison	comparison	NOUN
cana-3335	155	20	.	.	PUNCT
cana-3335	156	1	bbc	bbc	PROPN
cana-3335	156	2	news	news	NOUN
cana-3335	156	3	article	article	NOUN
cana-3335	156	4	dataset	dataset	VERB
cana-3335	156	5	with	with	ADP
cana-3335	156	6	30,000	30,000	NUM
cana-3335	156	7	entries	entry	NOUN
cana-3335	156	8	was	be	AUX
cana-3335	156	9	included	include	VERB
cana-3335	156	10	,	,	PUNCT
cana-3335	156	11	to	to	PART
cana-3335	156	12	introduce	introduce	VERB
cana-3335	156	13	diversity	diversity	NOUN
cana-3335	156	14	in	in	ADP
cana-3335	156	15	the	the	DET
cana-3335	156	16	topics	topic	NOUN
cana-3335	156	17	for	for	ADP
cana-3335	156	18	the	the	DET
cana-3335	156	19	proposed	propose	VERB
cana-3335	156	20	model	model	NOUN
cana-3335	156	21	.	.	PUNCT
cana-3335	157	1	all	all	DET
cana-3335	157	2	the	the	DET
cana-3335	157	3	datasets	dataset	NOUN
cana-3335	157	4	were	be	AUX
cana-3335	157	5	chosen	choose	VERB
cana-3335	157	6	keeping	keep	VERB
cana-3335	157	7	the	the	DET
cana-3335	157	8	real	real	ADJ
cana-3335	157	9	world	world	NOUN
cana-3335	157	10	content	content	NOUN
cana-3335	157	11	and	and	CCONJ
cana-3335	157	12	language	language	NOUN
cana-3335	157	13	as	as	ADP
cana-3335	157	14	criteria	criterion	NOUN
cana-3335	157	15	.	.	PUNCT
cana-3335	158	1	the	the	DET
cana-3335	158	2	intel	intel	PROPN
cana-3335	158	3	core	core	PROPN
cana-3335	158	4	(	(	PUNCT
cana-3335	158	5	tm	tm	NOUN
cana-3335	158	6	)	)	PUNCT
cana-3335	158	7	i7	i7	NOUN
cana-3335	158	8	with	with	ADP
cana-3335	158	9	programming	programming	NOUN
cana-3335	158	10	with	with	ADP
cana-3335	158	11	tool	tool	NOUN
cana-3335	158	12	-	-	PUNCT
cana-3335	158	13	r	r	NOUN
cana-3335	158	14	and	and	CCONJ
cana-3335	158	15	windows	window	NOUN
cana-3335	158	16	10	10	NUM
cana-3335	158	17	operating	operating	NOUN
cana-3335	158	18	systems	system	NOUN
cana-3335	158	19	with	with	ADP
cana-3335	158	20	an	an	DET
cana-3335	158	21	8	8	NUM
cana-3335	158	22	gb	gb	NOUN
cana-3335	158	23	ram	ram	NOUN
cana-3335	158	24	capacity	capacity	NOUN
cana-3335	158	25	have	have	AUX
cana-3335	158	26	been	be	AUX
cana-3335	158	27	employed	employ	VERB
cana-3335	158	28	to	to	PART
cana-3335	158	29	implement	implement	VERB
cana-3335	158	30	the	the	DET
cana-3335	158	31	system	system	NOUN
cana-3335	158	32	performance	performance	NOUN
cana-3335	158	33	a	a	DET
cana-3335	158	34	total	total	NOUN
cana-3335	158	35	of	of	ADP
cana-3335	158	36	tb	tb	NOUN
cana-3335	158	37	of	of	ADP
cana-3335	158	38	dataset	dataset	NOUN
cana-3335	158	39	.	.	PUNCT
cana-3335	159	1	the	the	DET
cana-3335	159	2	model	model	NOUN
cana-3335	159	3	was	be	AUX
cana-3335	159	4	tested	test	VERB
cana-3335	159	5	in	in	ADP
cana-3335	159	6	these	these	DET
cana-3335	159	7	four	four	NUM
cana-3335	159	8	datasets	dataset	NOUN
cana-3335	159	9	and	and	CCONJ
cana-3335	159	10	performance	performance	NOUN
cana-3335	159	11	was	be	AUX
cana-3335	159	12	measured	measure	VERB
cana-3335	159	13	with	with	ADP
cana-3335	159	14	respect	respect	NOUN
cana-3335	159	15	to	to	ADP
cana-3335	159	16	precision	precision	NOUN
cana-3335	159	17	,	,	PUNCT
cana-3335	159	18	recall	recall	NOUN
cana-3335	159	19	,	,	PUNCT
cana-3335	159	20	f1	f1	NOUN
cana-3335	159	21	-	-	PUNCT
cana-3335	159	22	score	score	NOUN
cana-3335	159	23	and	and	CCONJ
cana-3335	159	24	lda	lda	VERB
cana-3335	159	25	specific	specific	ADJ
cana-3335	159	26	metric	metric	NOUN
cana-3335	159	27	,	,	PUNCT
cana-3335	159	28	coherence	coherence	NOUN
cana-3335	159	29	[	[	X
cana-3335	159	30	19	19	NUM
cana-3335	159	31	]	]	PUNCT
cana-3335	159	32	.	.	PUNCT
cana-3335	160	1	bbc	bbc	PROPN
cana-3335	160	2	news	news	PROPN
cana-3335	160	3	articles	article	NOUN
cana-3335	160	4	dataset	dataset	VERB
cana-3335	160	5	:	:	PUNCT
cana-3335	160	6	one	one	NUM
cana-3335	160	7	table	table	NOUN
cana-3335	160	8	with	with	ADP
cana-3335	160	9	‘	'	PUNCT
cana-3335	160	10	accuracy	accuracy	NOUN
cana-3335	160	11	’	'	PUNCT
cana-3335	160	12	value	value	NOUN
cana-3335	160	13	for	for	ADP
cana-3335	160	14	these	these	DET
cana-3335	160	15	four	four	NUM
cana-3335	160	16	datasets	dataset	NOUN
cana-3335	160	17	with	with	ADP
cana-3335	160	18	respect	respect	NOUN
cana-3335	160	19	to	to	ADP
cana-3335	160	20	four	four	NUM
cana-3335	160	21	models	model	NOUN
cana-3335	160	22	for	for	ADP
cana-3335	160	23	before	before	ADP
cana-3335	160	24	improving	improve	VERB
cana-3335	160	25	patterns	pattern	NOUN
cana-3335	160	26	and	and	CCONJ
cana-3335	160	27	after	after	ADP
cana-3335	160	28	pattern	pattern	NOUN
cana-3335	160	29	improvements	improvement	NOUN
cana-3335	160	30	.	.	PUNCT
cana-3335	161	1	4.2	4.2	NUM
cana-3335	161	2	accuracy	accuracy	NOUN
cana-3335	161	3	:	:	PUNCT
cana-3335	161	4	accuracy	accuracy	NOUN
cana-3335	161	5	is	be	AUX
cana-3335	161	6	calculated	calculate	VERB
cana-3335	161	7	as	as	ADP
cana-3335	161	8	:	:	PUNCT
cana-3335	161	9	accuracy	accuracy	NOUN
cana-3335	161	10	is	be	AUX
cana-3335	161	11	one	one	NUM
cana-3335	161	12	of	of	ADP
cana-3335	161	13	the	the	DET
cana-3335	161	14	performance	performance	NOUN
cana-3335	161	15	measures	measure	NOUN
cana-3335	161	16	and	and	CCONJ
cana-3335	161	17	it	it	PRON
cana-3335	161	18	is	be	AUX
cana-3335	161	19	simply	simply	ADV
cana-3335	161	20	a	a	DET
cana-3335	161	21	ratio	ratio	NOUN
cana-3335	161	22	of	of	ADP
cana-3335	161	23	correctly	correctly	ADV
cana-3335	161	24	predicted	predict	VERB
cana-3335	161	25	observation	observation	NOUN
cana-3335	161	26	to	to	ADP
cana-3335	161	27	the	the	DET
cana-3335	161	28	total	total	ADJ
cana-3335	161	29	observations	observation	NOUN
cana-3335	161	30	in	in	ADP
cana-3335	161	31	fig	fig	NOUN
cana-3335	161	32	.	.	PUNCT
cana-3335	162	1	2	2	NUM
cana-3335	162	2	comparison	comparison	NOUN
cana-3335	162	3	of	of	ADP
cana-3335	162	4	isp	isp	ADV
cana-3335	162	5	-	-	PUNCT
cana-3335	162	6	lda	lda	ADJ
cana-3335	162	7	,	,	PUNCT
cana-3335	162	8	fp	fp	PROPN
cana-3335	162	9	-	-	PUNCT
cana-3335	162	10	lda	lda	PROPN
cana-3335	162	11	,	,	PUNCT
cana-3335	162	12	hme	hme	PROPN
cana-3335	162	13	-	-	PUNCT
cana-3335	162	14	lda	lda	PROPN
cana-3335	162	15	,	,	PUNCT
cana-3335	162	16	slda	slda	ADJ
cana-3335	162	17	.	.	PUNCT
cana-3335	163	1	accuracy	accuracy	NOUN
cana-3335	163	2	defines	define	VERB
cana-3335	163	3	the	the	DET
cana-3335	163	4	identification	identification	NOUN
cana-3335	163	5	of	of	ADP
cana-3335	163	6	the	the	DET
cana-3335	163	7	topic	topic	NOUN
cana-3335	163	8	which	which	PRON
cana-3335	163	9	is	be	AUX
cana-3335	163	10	classified	classify	VERB
cana-3335	163	11	as	as	ADP
cana-3335	163	12	appropriate	appropriate	ADJ
cana-3335	163	13	from	from	ADP
cana-3335	163	14	the	the	DET
cana-3335	163	15	listed	list	VERB
cana-3335	163	16	data	data	NOUN
cana-3335	163	17	points	point	NOUN
cana-3335	163	18	.	.	PUNCT
cana-3335	164	1	accuracy	accuracy	NOUN
cana-3335	164	2	=	=	SYM
cana-3335	164	3	tp+tn	tp+tn	ADJ
cana-3335	164	4	/	/	SYM
cana-3335	164	5	tp+fp+fn+tn	tp+fp+fn+tn	NOUN
cana-3335	164	6	-------(d	-------(d	NOUN
cana-3335	164	7	)	)	PUNCT
cana-3335	164	8	fig.2	fig.2	PROPN
cana-3335	164	9	.	.	PUNCT
cana-3335	165	1	comparison	comparison	NOUN
cana-3335	165	2	of	of	ADP
cana-3335	165	3	isp	isp	ADV
cana-3335	165	4	-	-	PUNCT
cana-3335	165	5	lda	lda	ADJ
cana-3335	165	6	,	,	PUNCT
cana-3335	165	7	fp	fp	PROPN
cana-3335	165	8	-	-	PUNCT
cana-3335	165	9	lda	lda	PROPN
cana-3335	165	10	,	,	PUNCT
cana-3335	165	11	hme	hme	PROPN
cana-3335	165	12	-	-	PUNCT
cana-3335	165	13	lda	lda	PROPN
cana-3335	165	14	,	,	PUNCT
cana-3335	165	15	slda	slda	VERB
cana-3335	165	16	4.3	4.3	NUM
cana-3335	165	17	precision	precision	NOUN
cana-3335	165	18	:	:	PUNCT
cana-3335	165	19	precision	precision	NOUN
cana-3335	165	20	when	when	SCONJ
cana-3335	165	21	defined	define	VERB
cana-3335	165	22	for	for	ADP
cana-3335	165	23	a	a	DET
cana-3335	165	24	classifier	classifier	NOUN
cana-3335	165	25	with	with	ADP
cana-3335	165	26	a	a	DET
cana-3335	165	27	given	give	VERB
cana-3335	165	28	class	class	NOUN
cana-3335	165	29	is	be	AUX
cana-3335	165	30	the	the	DET
cana-3335	165	31	ratio	ratio	NOUN
cana-3335	165	32	of	of	ADP
cana-3335	165	33	true	true	ADJ
cana-3335	165	34	positives	positive	NOUN
cana-3335	165	35	which	which	PRON
cana-3335	165	36	should	should	AUX
cana-3335	165	37	be	be	AUX
cana-3335	165	38	combined	combine	VERB
cana-3335	165	39	to	to	ADP
cana-3335	165	40	both	both	CCONJ
cana-3335	165	41	true	true	ADJ
cana-3335	165	42	and	and	CCONJ
cana-3335	165	43	false	false	ADJ
cana-3335	165	44	positives	positive	NOUN
cana-3335	165	45	.	.	PUNCT
cana-3335	166	1	true	true	ADJ
cana-3335	166	2	positives	positive	NOUN
cana-3335	166	3	(	(	PUNCT
cana-3335	166	4	tp	tp	NOUN
cana-3335	166	5	)	)	PUNCT
cana-3335	166	6	is	be	AUX
cana-3335	166	7	the	the	DET
cana-3335	166	8	correctly	correctly	ADV
cana-3335	166	9	predicted	predict	VERB
cana-3335	166	10	topic	topic	NOUN
cana-3335	166	11	for	for	ADP
cana-3335	166	12	the	the	DET
cana-3335	166	13	given	give	VERB
cana-3335	166	14	document	document	NOUN
cana-3335	166	15	in	in	ADP
cana-3335	166	16	the	the	DET
cana-3335	166	17	data	data	NOUN
cana-3335	166	18	source	source	NOUN
cana-3335	166	19	which	which	PRON
cana-3335	166	20	means	mean	VERB
cana-3335	166	21	that	that	SCONJ
cana-3335	166	22	the	the	DET
cana-3335	166	23	value	value	NOUN
cana-3335	166	24	of	of	ADP
cana-3335	166	25	actual	actual	ADJ
cana-3335	166	26	class	class	NOUN
cana-3335	166	27	is	be	AUX
cana-3335	166	28	yes	yes	ADV
cana-3335	166	29	,	,	PUNCT
cana-3335	166	30	and	and	CCONJ
cana-3335	166	31	the	the	DET
cana-3335	166	32	value	value	NOUN
cana-3335	166	33	of	of	ADP
cana-3335	166	34	predicted	predict	VERB
cana-3335	166	35	class	class	NOUN
cana-3335	166	36	is	be	AUX
cana-3335	166	37	also	also	ADV
cana-3335	166	38	yes	yes	INTJ
cana-3335	166	39	.	.	PUNCT
cana-3335	167	1	false	false	ADJ
cana-3335	167	2	positives	positive	NOUN
cana-3335	167	3	(	(	PUNCT
cana-3335	167	4	fp	fp	X
cana-3335	167	5	)	)	PUNCT
cana-3335	167	6	–	–	PUNCT
cana-3335	167	7	when	when	SCONJ
cana-3335	167	8	actual	actual	ADJ
cana-3335	167	9	class	class	NOUN
cana-3335	167	10	is	be	AUX
cana-3335	167	11	no	no	DET
cana-3335	167	12	and	and	CCONJ
cana-3335	167	13	predicted	predict	VERB
cana-3335	167	14	class	class	NOUN
cana-3335	167	15	is	be	AUX
cana-3335	167	16	yes	yes	INTJ
cana-3335	167	17	fig	fig	NOUN
cana-3335	167	18	.	.	PUNCT
cana-3335	168	1	3	3	NUM
cana-3335	168	2	comparison	comparison	NOUN
cana-3335	168	3	of	of	ADP
cana-3335	168	4	isp	isp	ADV
cana-3335	168	5	-	-	PUNCT
cana-3335	168	6	lda	lda	ADJ
cana-3335	168	7	,	,	PUNCT
cana-3335	168	8	fp	fp	PROPN
cana-3335	168	9	-	-	PUNCT
cana-3335	168	10	lda	lda	PROPN
cana-3335	168	11	,	,	PUNCT
cana-3335	168	12	hme	hme	PROPN
cana-3335	168	13	-	-	PUNCT
cana-3335	168	14	lda	lda	PROPN
cana-3335	168	15	,	,	PUNCT
cana-3335	168	16	slda	slda	ADJ
cana-3335	168	17	.	.	PUNCT
cana-3335	169	1	communications	communication	NOUN
cana-3335	169	2	on	on	ADP
cana-3335	169	3	applied	apply	VERB
cana-3335	169	4	nonlinear	nonlinear	ADJ
cana-3335	169	5	analysis	analysis	NOUN
cana-3335	169	6	issn	issn	NOUN
cana-3335	169	7	:	:	PUNCT
cana-3335	169	8	1074	1074	NUM
cana-3335	169	9	-	-	PUNCT
cana-3335	169	10	133x	133x	NUM
cana-3335	169	11	vol	vol	NOUN
cana-3335	169	12	32	32	NUM
cana-3335	169	13	no	no	NOUN
cana-3335	169	14	.	.	PUNCT
cana-3335	170	1	7s	7	NOUN
cana-3335	170	2	(	(	PUNCT
cana-3335	170	3	2025	2025	NUM
cana-3335	170	4	)	)	PUNCT
cana-3335	170	5	20	20	NUM
cana-3335	170	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3335	170	7	fig.3	fig.3	PROPN
cana-3335	170	8	.	.	PUNCT
cana-3335	171	1	comparison	comparison	NOUN
cana-3335	171	2	of	of	ADP
cana-3335	171	3	isp	isp	ADV
cana-3335	171	4	-	-	PUNCT
cana-3335	171	5	lda	lda	ADJ
cana-3335	171	6	,	,	PUNCT
cana-3335	171	7	fp	fp	PROPN
cana-3335	171	8	-	-	PUNCT
cana-3335	171	9	lda	lda	PROPN
cana-3335	171	10	,	,	PUNCT
cana-3335	171	11	hme	hme	PROPN
cana-3335	171	12	-	-	PUNCT
cana-3335	171	13	lda	lda	PROPN
cana-3335	171	14	,	,	PUNCT
cana-3335	171	15	slda	slda	VERB
cana-3335	171	16	4.4	4.4	NUM
cana-3335	171	17	recall	recall	NOUN
cana-3335	171	18	:	:	PUNCT
cana-3335	171	19	recall	recall	PROPN
cana-3335	171	20	is	be	AUX
cana-3335	171	21	calculated	calculate	VERB
cana-3335	171	22	with	with	ADP
cana-3335	171	23	the	the	DET
cana-3335	171	24	ratio	ratio	NOUN
cana-3335	171	25	of	of	ADP
cana-3335	171	26	true	true	ADJ
cana-3335	171	27	positive	positive	ADJ
cana-3335	171	28	spam	spam	NOUN
cana-3335	171	29	positive	positive	ADJ
cana-3335	171	30	words	word	NOUN
cana-3335	171	31	identified	identify	VERB
cana-3335	171	32	from	from	ADP
cana-3335	171	33	the	the	DET
cana-3335	171	34	data	datum	NOUN
cana-3335	171	35	set	set	VERB
cana-3335	171	36	through	through	ADP
cana-3335	171	37	bcc	bcc	PROPN
cana-3335	171	38	clustering	clustering	NOUN
cana-3335	171	39	which	which	PRON
cana-3335	171	40	shares	share	VERB
cana-3335	171	41	the	the	DET
cana-3335	171	42	base	base	NOUN
cana-3335	171	43	data	datum	NOUN
cana-3335	171	44	source	source	NOUN
cana-3335	171	45	for	for	ADP
cana-3335	171	46	the	the	DET
cana-3335	171	47	lime	lime	NOUN
cana-3335	171	48	classification	classification	NOUN
cana-3335	171	49	technique	technique	NOUN
cana-3335	171	50	fig	fig	NOUN
cana-3335	171	51	.	.	PUNCT
cana-3335	172	1	4	4	NUM
cana-3335	172	2	comparison	comparison	NOUN
cana-3335	172	3	of	of	ADP
cana-3335	172	4	isp	isp	ADV
cana-3335	172	5	-	-	PUNCT
cana-3335	172	6	lda	lda	ADJ
cana-3335	172	7	,	,	PUNCT
cana-3335	172	8	fp	fp	PROPN
cana-3335	172	9	-	-	PUNCT
cana-3335	172	10	lda	lda	PROPN
cana-3335	172	11	,	,	PUNCT
cana-3335	172	12	hme	hme	PROPN
cana-3335	172	13	-	-	PUNCT
cana-3335	172	14	lda	lda	PROPN
cana-3335	172	15	,	,	PUNCT
cana-3335	172	16	slda	slda	PROPN
cana-3335	172	17	.	.	PUNCT
cana-3335	173	1	recall	recall	NOUN
cana-3335	173	2	=	=	SYM
cana-3335	173	3	tp	tp	PART
cana-3335	173	4	/	/	SYM
cana-3335	173	5	tp+fn	tp+fn	NOUN
cana-3335	173	6	-------------(e	-------------(e	NOUN
cana-3335	173	7	)	)	PUNCT
cana-3335	173	8	fig.4	fig.4	PROPN
cana-3335	173	9	.	.	PUNCT
cana-3335	173	10	comparison	comparison	NOUN
cana-3335	173	11	of	of	ADP
cana-3335	173	12	isp	isp	ADV
cana-3335	173	13	-	-	PUNCT
cana-3335	173	14	lda	lda	ADJ
cana-3335	173	15	,	,	PUNCT
cana-3335	173	16	fp	fp	PROPN
cana-3335	173	17	-	-	PUNCT
cana-3335	173	18	lda	lda	PROPN
cana-3335	173	19	,	,	PUNCT
cana-3335	173	20	hme	hme	PROPN
cana-3335	173	21	-	-	PUNCT
cana-3335	173	22	lda	lda	PROPN
cana-3335	173	23	,	,	PUNCT
cana-3335	173	24	slda	slda	VERB
cana-3335	173	25	4.5	4.5	NUM
cana-3335	173	26	f1	f1	NOUN
cana-3335	173	27	score	score	NOUN
cana-3335	173	28	:	:	PUNCT
cana-3335	173	29	the	the	DET
cana-3335	173	30	f1	f1	NOUN
cana-3335	173	31	score	score	NOUN
cana-3335	173	32	is	be	AUX
cana-3335	173	33	calculated	calculate	VERB
cana-3335	173	34	based	base	VERB
cana-3335	173	35	on	on	ADP
cana-3335	173	36	the	the	DET
cana-3335	173	37	weighted	weighted	ADJ
cana-3335	173	38	average	average	NOUN
cana-3335	173	39	of	of	ADP
cana-3335	173	40	precision	precision	NOUN
cana-3335	173	41	and	and	CCONJ
cana-3335	173	42	recall	recall	NOUN
cana-3335	173	43	.	.	PUNCT
cana-3335	174	1	f1	f1	NOUN
cana-3335	174	2	score	score	NOUN
cana-3335	174	3	=	=	PUNCT
cana-3335	174	4	2*(recall	2*(recall	NUM
cana-3335	174	5	*	*	NOUN
cana-3335	174	6	precision	precision	NOUN
cana-3335	174	7	)	)	PUNCT
cana-3335	174	8	/	/	PUNCT
cana-3335	174	9	(	(	PUNCT
cana-3335	174	10	recall	recall	NOUN
cana-3335	174	11	+	+	NUM
cana-3335	174	12	precision	precision	NOUN
cana-3335	174	13	)	)	PUNCT
cana-3335	174	14	,	,	PUNCT
cana-3335	174	15	based	base	VERB
cana-3335	174	16	on	on	ADP
cana-3335	174	17	this	this	DET
cana-3335	174	18	graph	graph	NOUN
cana-3335	174	19	and	and	CCONJ
cana-3335	174	20	is	be	AUX
cana-3335	174	21	plotted	plot	VERB
cana-3335	174	22	as	as	ADP
cana-3335	174	23	below	below	ADV
cana-3335	174	24	in	in	ADP
cana-3335	174	25	fig.5	fig.5	PROPN
cana-3335	174	26	.	.	PUNCT
cana-3335	175	1	comparison	comparison	NOUN
cana-3335	175	2	of	of	ADP
cana-3335	175	3	isp	isp	ADV
cana-3335	175	4	-	-	PUNCT
cana-3335	175	5	lda	lda	ADJ
cana-3335	175	6	,	,	PUNCT
cana-3335	175	7	fp	fp	PROPN
cana-3335	175	8	-	-	PUNCT
cana-3335	175	9	lda	lda	PROPN
cana-3335	175	10	,	,	PUNCT
cana-3335	175	11	hme	hme	PROPN
cana-3335	175	12	-	-	PUNCT
cana-3335	175	13	lda	lda	PROPN
cana-3335	175	14	,	,	PUNCT
cana-3335	175	15	slda	slda	ADJ
cana-3335	175	16	.	.	PUNCT
cana-3335	176	1	fig.5	fig.5	NOUN
cana-3335	176	2	.	.	PUNCT
cana-3335	177	1	comparison	comparison	NOUN
cana-3335	177	2	of	of	ADP
cana-3335	177	3	isp	isp	ADV
cana-3335	177	4	-	-	PUNCT
cana-3335	177	5	lda	lda	ADJ
cana-3335	177	6	,	,	PUNCT
cana-3335	177	7	fp	fp	PROPN
cana-3335	177	8	-	-	PUNCT
cana-3335	177	9	lda	lda	PROPN
cana-3335	177	10	,	,	PUNCT
cana-3335	177	11	hme	hme	PROPN
cana-3335	177	12	-	-	PUNCT
cana-3335	177	13	lda	lda	PROPN
cana-3335	177	14	,	,	PUNCT
cana-3335	177	15	slda	slda	ADJ
cana-3335	177	16	communications	communication	NOUN
cana-3335	177	17	on	on	ADP
cana-3335	177	18	applied	apply	VERB
cana-3335	177	19	nonlinear	nonlinear	ADJ
cana-3335	177	20	analysis	analysis	NOUN
cana-3335	177	21	issn	issn	NOUN
cana-3335	177	22	:	:	PUNCT
cana-3335	177	23	1074	1074	NUM
cana-3335	177	24	-	-	PUNCT
cana-3335	177	25	133x	133x	NUM
cana-3335	177	26	vol	vol	NOUN
cana-3335	177	27	32	32	NUM
cana-3335	177	28	no	no	NOUN
cana-3335	177	29	.	.	PUNCT
cana-3335	178	1	7s	7	NOUN
cana-3335	178	2	(	(	PUNCT
cana-3335	178	3	2025	2025	NUM
cana-3335	178	4	)	)	PUNCT
cana-3335	178	5	21	21	NUM
cana-3335	178	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3335	178	7	4.6	4.6	NUM
cana-3335	178	8	auc	auc	NOUN
cana-3335	178	9	:	:	PUNCT
cana-3335	178	10	area	area	NOUN
cana-3335	178	11	under	under	ADP
cana-3335	178	12	the	the	DET
cana-3335	178	13	curve	curve	NOUN
cana-3335	178	14	(	(	PUNCT
cana-3335	178	15	auc	auc	NOUN
cana-3335	178	16	)	)	PUNCT
cana-3335	178	17	is	be	AUX
cana-3335	178	18	calculated	calculate	VERB
cana-3335	178	19	as	as	ADP
cana-3335	178	20	the	the	DET
cana-3335	178	21	auc	auc	NOUN
cana-3335	178	22	of	of	ADP
cana-3335	178	23	a	a	DET
cana-3335	178	24	classifier	classifier	NOUN
cana-3335	178	25	is	be	AUX
cana-3335	178	26	equal	equal	ADJ
cana-3335	178	27	to	to	ADP
cana-3335	178	28	the	the	DET
cana-3335	178	29	probability	probability	NOUN
cana-3335	178	30	that	that	SCONJ
cana-3335	178	31	the	the	DET
cana-3335	178	32	classifier	classifier	NOUN
cana-3335	178	33	will	will	AUX
cana-3335	178	34	rank	rank	VERB
cana-3335	178	35	a	a	DET
cana-3335	178	36	randomly	randomly	ADV
cana-3335	178	37	chosen	choose	VERB
cana-3335	178	38	positive	positive	ADJ
cana-3335	178	39	example	example	NOUN
cana-3335	178	40	higher	high	ADJ
cana-3335	178	41	than	than	ADP
cana-3335	178	42	a	a	DET
cana-3335	178	43	randomly	randomly	ADV
cana-3335	178	44	chosen	choose	VERB
cana-3335	178	45	negative	negative	ADJ
cana-3335	178	46	.	.	PUNCT
cana-3335	179	1	p	p	X
cana-3335	179	2	(	(	PUNCT
cana-3335	179	3	score(x+)>score	score(x+)>score	X
cana-3335	179	4	(	(	PUNCT
cana-3335	179	5	x−	x−	PROPN
cana-3335	179	6	)	)	PUNCT
cana-3335	179	7	)	)	PUNCT
cana-3335	180	1	fig.6	fig.6	PROPN
cana-3335	180	2	.	.	PUNCT
cana-3335	181	1	comparison	comparison	NOUN
cana-3335	181	2	of	of	ADP
cana-3335	181	3	isp	isp	ADV
cana-3335	181	4	-	-	PUNCT
cana-3335	181	5	lda	lda	ADJ
cana-3335	181	6	,	,	PUNCT
cana-3335	181	7	fp	fp	PROPN
cana-3335	181	8	-	-	PUNCT
cana-3335	181	9	lda	lda	PROPN
cana-3335	181	10	,	,	PUNCT
cana-3335	181	11	hme	hme	PROPN
cana-3335	181	12	-	-	PUNCT
cana-3335	181	13	lda	lda	PROPN
cana-3335	181	14	,	,	PUNCT
cana-3335	181	15	slda	slda	VERB
cana-3335	181	16	a	a	DET
cana-3335	181	17	set	set	NOUN
cana-3335	181	18	of	of	ADP
cana-3335	181	19	statements	statement	NOUN
cana-3335	181	20	or	or	CCONJ
cana-3335	181	21	facts	fact	NOUN
cana-3335	181	22	is	be	AUX
cana-3335	181	23	said	say	VERB
cana-3335	181	24	to	to	PART
cana-3335	181	25	be	be	AUX
cana-3335	181	26	coherent	coherent	ADJ
cana-3335	181	27	,	,	PUNCT
cana-3335	181	28	if	if	SCONJ
cana-3335	181	29	they	they	PRON
cana-3335	181	30	support	support	VERB
cana-3335	181	31	each	each	DET
cana-3335	181	32	other	other	ADJ
cana-3335	181	33	.	.	PUNCT
cana-3335	182	1	thus	thus	ADV
cana-3335	182	2	,	,	PUNCT
cana-3335	182	3	a	a	DET
cana-3335	182	4	coherent	coherent	ADJ
cana-3335	182	5	fact	fact	NOUN
cana-3335	182	6	set	set	NOUN
cana-3335	182	7	can	can	AUX
cana-3335	182	8	be	be	AUX
cana-3335	182	9	interpreted	interpret	VERB
cana-3335	182	10	in	in	ADP
cana-3335	182	11	a	a	DET
cana-3335	182	12	context	context	NOUN
cana-3335	182	13	that	that	PRON
cana-3335	182	14	covers	cover	VERB
cana-3335	182	15	all	all	PRON
cana-3335	182	16	or	or	CCONJ
cana-3335	182	17	most	most	ADJ
cana-3335	182	18	of	of	ADP
cana-3335	182	19	the	the	DET
cana-3335	182	20	facts	fact	NOUN
cana-3335	182	21	fig.6	fig.6	VERB
cana-3335	182	22	comparison	comparison	NOUN
cana-3335	182	23	of	of	ADP
cana-3335	182	24	isp	isp	ADV
cana-3335	182	25	-	-	PUNCT
cana-3335	182	26	lda	lda	ADJ
cana-3335	182	27	,	,	PUNCT
cana-3335	182	28	fplda	fplda	NOUN
cana-3335	182	29	,	,	PUNCT
cana-3335	182	30	hme	hme	PROPN
cana-3335	182	31	-	-	PUNCT
cana-3335	182	32	lda	lda	PROPN
cana-3335	182	33	,	,	PUNCT
cana-3335	182	34	slda	slda	ADJ
cana-3335	182	35	.	.	PUNCT
cana-3335	183	1	an	an	DET
cana-3335	183	2	example	example	NOUN
cana-3335	183	3	of	of	ADP
cana-3335	183	4	a	a	DET
cana-3335	183	5	coherent	coherent	ADJ
cana-3335	183	6	fact	fact	NOUN
cana-3335	183	7	set	set	VERB
cana-3335	183	8	is	be	AUX
cana-3335	183	9	“	"	PUNCT
cana-3335	183	10	the	the	DET
cana-3335	183	11	game	game	NOUN
cana-3335	183	12	is	be	AUX
cana-3335	183	13	a	a	DET
cana-3335	183	14	team	team	NOUN
cana-3335	183	15	sport	sport	NOUN
cana-3335	183	16	”	"	PUNCT
cana-3335	183	17	,	,	PUNCT
cana-3335	183	18	“	"	PUNCT
cana-3335	183	19	the	the	DET
cana-3335	183	20	game	game	NOUN
cana-3335	183	21	is	be	AUX
cana-3335	183	22	played	play	VERB
cana-3335	183	23	with	with	ADP
cana-3335	183	24	a	a	DET
cana-3335	183	25	ball	ball	NOUN
cana-3335	183	26	”	"	PUNCT
cana-3335	183	27	,	,	PUNCT
cana-3335	183	28	“	"	PUNCT
cana-3335	183	29	and	and	CCONJ
cana-3335	183	30	the	the	DET
cana-3335	183	31	game	game	NOUN
cana-3335	183	32	demands	demand	VERB
cana-3335	183	33	great	great	ADJ
cana-3335	183	34	physical	physical	ADJ
cana-3335	183	35	efforts	effort	NOUN
cana-3335	183	36	”	"	PUNCT
cana-3335	183	37	.	.	PUNCT
cana-3335	184	1	4.7	4.7	NUM
cana-3335	184	2	coherence	coherence	NOUN
cana-3335	184	3	measures	measure	NOUN
cana-3335	184	4	let	let	VERB
cana-3335	184	5	’s	’s	PRON
cana-3335	184	6	take	take	VERB
cana-3335	184	7	quick	quick	ADJ
cana-3335	184	8	look	look	NOUN
cana-3335	184	9	at	at	ADP
cana-3335	184	10	different	different	ADJ
cana-3335	184	11	coherence	coherence	NOUN
cana-3335	184	12	measures	measure	NOUN
cana-3335	184	13	,	,	PUNCT
cana-3335	184	14	and	and	CCONJ
cana-3335	184	15	how	how	SCONJ
cana-3335	184	16	they	they	PRON
cana-3335	184	17	are	be	AUX
cana-3335	184	18	calculated	calculate	VERB
cana-3335	184	19	:	:	PUNCT
cana-3335	184	20	1	1	X
cana-3335	184	21	.	.	X
cana-3335	184	22	c_v	c_v	PUNCT
cana-3335	184	23	measure	measure	NOUN
cana-3335	184	24	is	be	AUX
cana-3335	184	25	based	base	VERB
cana-3335	184	26	on	on	ADP
cana-3335	184	27	a	a	DET
cana-3335	184	28	sliding	slide	VERB
cana-3335	184	29	window	window	NOUN
cana-3335	184	30	,	,	PUNCT
cana-3335	184	31	one	one	NUM
cana-3335	184	32	-	-	PUNCT
cana-3335	184	33	set	set	VERB
cana-3335	184	34	segmentation	segmentation	NOUN
cana-3335	184	35	of	of	ADP
cana-3335	184	36	the	the	DET
cana-3335	184	37	top	top	ADJ
cana-3335	184	38	words	word	NOUN
cana-3335	184	39	and	and	CCONJ
cana-3335	184	40	an	an	DET
cana-3335	184	41	indirect	indirect	ADJ
cana-3335	184	42	confirmation	confirmation	NOUN
cana-3335	184	43	measure	measure	NOUN
cana-3335	184	44	that	that	PRON
cana-3335	184	45	uses	uses	AUX
cana-3335	184	46	normalized	normalize	VERB
cana-3335	184	47	point	point	NOUN
cana-3335	184	48	wise	wise	ADJ
cana-3335	184	49	mutual	mutual	ADJ
cana-3335	184	50	information	information	NOUN
cana-3335	184	51	(	(	PUNCT
cana-3335	184	52	npmi	npmi	NOUN
cana-3335	184	53	)	)	PUNCT
cana-3335	184	54	and	and	CCONJ
cana-3335	184	55	the	the	DET
cana-3335	184	56	cosine	cosine	NOUN
cana-3335	184	57	similarity	similarity	NOUN
cana-3335	184	58	2	2	NUM
cana-3335	184	59	.	.	PUNCT
cana-3335	184	60	c_p	c_p	X
cana-3335	184	61	is	be	AUX
cana-3335	184	62	based	base	VERB
cana-3335	184	63	on	on	ADP
cana-3335	184	64	a	a	DET
cana-3335	184	65	sliding	slide	VERB
cana-3335	184	66	window	window	NOUN
cana-3335	184	67	,	,	PUNCT
cana-3335	184	68	one	one	NUM
cana-3335	184	69	-	-	PUNCT
cana-3335	184	70	preceding	precede	VERB
cana-3335	184	71	segmentation	segmentation	NOUN
cana-3335	184	72	of	of	ADP
cana-3335	184	73	the	the	DET
cana-3335	184	74	top	top	ADJ
cana-3335	184	75	words	word	NOUN
cana-3335	184	76	and	and	CCONJ
cana-3335	184	77	the	the	DET
cana-3335	184	78	confirmation	confirmation	NOUN
cana-3335	184	79	measure	measure	NOUN
cana-3335	184	80	of	of	ADP
cana-3335	184	81	fitelson	fitelson	NOUN
cana-3335	184	82	’s	’s	PART
cana-3335	184	83	coherence	coherence	NOUN
cana-3335	184	84	3	3	X
cana-3335	184	85	.	.	PUNCT
cana-3335	185	1	c_uci	c_uci	NOUN
cana-3335	185	2	measure	measure	NOUN
cana-3335	185	3	is	be	AUX
cana-3335	185	4	based	base	VERB
cana-3335	185	5	on	on	ADP
cana-3335	185	6	a	a	DET
cana-3335	185	7	sliding	slide	VERB
cana-3335	185	8	window	window	NOUN
cana-3335	185	9	and	and	CCONJ
cana-3335	185	10	the	the	DET
cana-3335	185	11	point	point	NOUN
cana-3335	185	12	wise	wise	ADJ
cana-3335	185	13	mutual	mutual	ADJ
cana-3335	185	14	information	information	NOUN
cana-3335	185	15	(	(	PUNCT
cana-3335	185	16	pmi	pmi	NOUN
cana-3335	185	17	)	)	PUNCT
cana-3335	185	18	of	of	ADP
cana-3335	185	19	all	all	DET
cana-3335	185	20	word	word	NOUN
cana-3335	185	21	pairs	pair	NOUN
cana-3335	185	22	of	of	ADP
cana-3335	185	23	the	the	DET
cana-3335	185	24	given	give	VERB
cana-3335	185	25	top	top	ADJ
cana-3335	185	26	words	word	NOUN
cana-3335	185	27	4	4	NUM
cana-3335	185	28	.	.	PUNCT
cana-3335	185	29	c_umass	c_umass	NOUN
cana-3335	185	30	is	be	AUX
cana-3335	185	31	based	base	VERB
cana-3335	185	32	on	on	ADP
cana-3335	185	33	document	document	NOUN
cana-3335	185	34	co	co	NOUN
cana-3335	185	35	occurrence	occurrence	NOUN
cana-3335	185	36	counts	count	NOUN
cana-3335	185	37	,	,	PUNCT
cana-3335	185	38	a	a	DET
cana-3335	185	39	one	one	NUM
cana-3335	185	40	-	-	PUNCT
cana-3335	185	41	preceding	precede	VERB
cana-3335	185	42	segmentation	segmentation	NOUN
cana-3335	185	43	and	and	CCONJ
cana-3335	185	44	a	a	DET
cana-3335	185	45	logarithmic	logarithmic	ADJ
cana-3335	185	46	conditional	conditional	ADJ
cana-3335	185	47	probability	probability	NOUN
cana-3335	185	48	as	as	ADP
cana-3335	185	49	confirmation	confirmation	NOUN
cana-3335	185	50	measure	measure	NOUN
cana-3335	185	51	5	5	NUM
cana-3335	185	52	.	.	PUNCT
cana-3335	185	53	c_npmi	c_npmi	NOUN
cana-3335	185	54	is	be	AUX
cana-3335	185	55	an	an	DET
cana-3335	185	56	enhanced	enhanced	ADJ
cana-3335	185	57	version	version	NOUN
cana-3335	185	58	of	of	ADP
cana-3335	185	59	the	the	DET
cana-3335	185	60	c_uci	c_uci	PROPN
cana-3335	185	61	coherence	coherence	NOUN
cana-3335	185	62	using	use	VERB
cana-3335	185	63	the	the	DET
cana-3335	185	64	normalized	normalized	ADJ
cana-3335	185	65	point	point	NOUN
cana-3335	185	66	wise	wise	ADJ
cana-3335	185	67	mutual	mutual	ADJ
cana-3335	185	68	information	information	NOUN
cana-3335	185	69	(	(	PUNCT
cana-3335	185	70	npmi	npmi	NOUN
cana-3335	185	71	)	)	PUNCT
cana-3335	185	72	6	6	NUM
cana-3335	185	73	.	.	PUNCT
cana-3335	186	1	c_a	c_a	X
cana-3335	186	2	is	be	AUX
cana-3335	186	3	based	base	VERB
cana-3335	186	4	on	on	ADP
cana-3335	186	5	a	a	DET
cana-3335	186	6	context	context	NOUN
cana-3335	186	7	window	window	NOUN
cana-3335	186	8	,	,	PUNCT
cana-3335	186	9	a	a	DET
cana-3335	186	10	pair	pair	NOUN
cana-3335	186	11	wise	wise	ADJ
cana-3335	186	12	comparison	comparison	NOUN
cana-3335	186	13	of	of	ADP
cana-3335	186	14	the	the	DET
cana-3335	186	15	top	top	ADJ
cana-3335	186	16	words	word	NOUN
cana-3335	186	17	and	and	CCONJ
cana-3335	186	18	an	an	DET
cana-3335	186	19	indirect	indirect	ADJ
cana-3335	186	20	confirmation	confirmation	NOUN
cana-3335	186	21	measure	measure	NOUN
cana-3335	186	22	that	that	PRON
cana-3335	186	23	uses	uses	AUX
cana-3335	186	24	normalized	normalize	VERB
cana-3335	186	25	point	point	NOUN
cana-3335	186	26	wise	wise	ADJ
cana-3335	186	27	mutual	mutual	ADJ
cana-3335	186	28	information	information	NOUN
cana-3335	186	29	(	(	PUNCT
cana-3335	186	30	npmi	npmi	NOUN
cana-3335	186	31	)	)	PUNCT
cana-3335	186	32	and	and	CCONJ
cana-3335	186	33	the	the	DET
cana-3335	186	34	cosine	cosine	NOUN
cana-3335	186	35	similarity	similarity	NOUN
cana-3335	186	36	topic	topic	NOUN
cana-3335	186	37	coherence	coherence	NOUN
cana-3335	186	38	measures	measure	NOUN
cana-3335	186	39	score	score	VERB
cana-3335	186	40	a	a	DET
cana-3335	186	41	single	single	ADJ
cana-3335	186	42	topic	topic	NOUN
cana-3335	186	43	by	by	ADP
cana-3335	186	44	measuring	measure	VERB
cana-3335	186	45	the	the	DET
cana-3335	186	46	degree	degree	NOUN
cana-3335	186	47	of	of	ADP
cana-3335	186	48	semantic	semantic	ADJ
cana-3335	186	49	similarity	similarity	NOUN
cana-3335	186	50	between	between	ADP
cana-3335	186	51	high	high	ADJ
cana-3335	186	52	scoring	scoring	NOUN
cana-3335	186	53	words	word	NOUN
cana-3335	186	54	in	in	ADP
cana-3335	186	55	the	the	DET
cana-3335	186	56	topic	topic	NOUN
cana-3335	186	57	.	.	PUNCT
cana-3335	187	1	these	these	DET
cana-3335	187	2	measurements	measurement	NOUN
cana-3335	187	3	help	help	AUX
cana-3335	187	4	distinguish	distinguish	VERB
cana-3335	187	5	between	between	ADP
cana-3335	187	6	topics	topic	NOUN
cana-3335	187	7	that	that	PRON
cana-3335	187	8	are	be	AUX
cana-3335	187	9	semantically	semantically	ADV
cana-3335	187	10	interpretable	interpretable	ADJ
cana-3335	187	11	topics	topic	NOUN
cana-3335	187	12	and	and	CCONJ
cana-3335	187	13	topics	topic	NOUN
cana-3335	187	14	that	that	PRON
cana-3335	187	15	are	be	AUX
cana-3335	187	16	artifacts	artifact	NOUN
cana-3335	187	17	of	of	ADP
cana-3335	187	18	statistical	statistical	ADJ
cana-3335	187	19	inference	inference	NOUN
cana-3335	187	20	fig.7	fig.7	ADJ
cana-3335	187	21	comparison	comparison	NOUN
cana-3335	187	22	of	of	ADP
cana-3335	187	23	isp	isp	ADV
cana-3335	187	24	-	-	PUNCT
cana-3335	187	25	lda	lda	ADJ
cana-3335	187	26	,	,	PUNCT
cana-3335	187	27	fp	fp	PROPN
cana-3335	187	28	-	-	PUNCT
cana-3335	187	29	lda	lda	PROPN
cana-3335	187	30	,	,	PUNCT
cana-3335	187	31	hme	hme	PROPN
cana-3335	187	32	-	-	PUNCT
cana-3335	187	33	lda	lda	PROPN
cana-3335	187	34	,	,	PUNCT
cana-3335	187	35	slda	slda	ADJ
cana-3335	187	36	.	.	PUNCT
cana-3335	188	1	it	it	PRON
cana-3335	188	2	calculates	calculate	VERB
cana-3335	188	3	how	how	SCONJ
cana-3335	188	4	often	often	ADV
cana-3335	188	5	two	two	NUM
cana-3335	188	6	words	word	NOUN
cana-3335	188	7	,	,	PUNCT
cana-3335	188	8	appear	appear	VERB
cana-3335	188	9	together	together	ADV
cana-3335	188	10	in	in	ADP
cana-3335	188	11	the	the	DET
cana-3335	188	12	corpus	corpus	NOUN
cana-3335	188	13	and	and	CCONJ
cana-3335	188	14	it	it	PRON
cana-3335	188	15	’s	’s	AUX
cana-3335	188	16	defined	define	VERB
cana-3335	188	17	as	as	SCONJ
cana-3335	188	18	data	data	NOUN
cana-3335	188	19	sets	set	VERB
cana-3335	188	20	communications	communication	NOUN
cana-3335	188	21	on	on	ADP
cana-3335	188	22	applied	apply	VERB
cana-3335	188	23	nonlinear	nonlinear	ADJ
cana-3335	188	24	analysis	analysis	NOUN
cana-3335	188	25	issn	issn	NOUN
cana-3335	188	26	:	:	PUNCT
cana-3335	188	27	1074	1074	NUM
cana-3335	188	28	-	-	PUNCT
cana-3335	188	29	133x	133x	NUM
cana-3335	188	30	vol	vol	NOUN
cana-3335	188	31	32	32	NUM
cana-3335	188	32	no	no	NOUN
cana-3335	188	33	.	.	PUNCT
cana-3335	189	1	7s	7	NOUN
cana-3335	189	2	(	(	PUNCT
cana-3335	189	3	2025	2025	NUM
cana-3335	189	4	)	)	PUNCT
cana-3335	189	5	22	22	NUM
cana-3335	189	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3335	189	7	fig.7	fig.7	ADV
cana-3335	189	8	.	.	PUNCT
cana-3335	190	1	comparison	comparison	NOUN
cana-3335	190	2	of	of	ADP
cana-3335	190	3	isp	isp	ADV
cana-3335	190	4	-	-	PUNCT
cana-3335	190	5	lda	lda	ADJ
cana-3335	190	6	,	,	PUNCT
cana-3335	190	7	fp	fp	PROPN
cana-3335	190	8	-	-	PUNCT
cana-3335	190	9	lda	lda	PROPN
cana-3335	190	10	,	,	PUNCT
cana-3335	190	11	hme	hme	PROPN
cana-3335	190	12	-	-	PUNCT
cana-3335	190	13	lda	lda	PROPN
cana-3335	190	14	,	,	PUNCT
cana-3335	190	15	slda	slda	ADJ
cana-3335	190	16	discussion	discussion	NOUN
cana-3335	190	17	:	:	PUNCT
cana-3335	190	18	the	the	DET
cana-3335	190	19	datasets	dataset	NOUN
cana-3335	190	20	taken	take	VERB
cana-3335	190	21	for	for	ADP
cana-3335	190	22	the	the	DET
cana-3335	190	23	study	study	NOUN
cana-3335	190	24	also	also	ADV
cana-3335	190	25	contained	contain	VERB
cana-3335	190	26	a	a	DET
cana-3335	190	27	similar	similar	ADJ
cana-3335	190	28	set	set	NOUN
cana-3335	190	29	of	of	ADP
cana-3335	190	30	articles	article	NOUN
cana-3335	190	31	across	across	ADP
cana-3335	190	32	each	each	DET
cana-3335	190	33	unique	unique	ADJ
cana-3335	190	34	topic	topic	NOUN
cana-3335	190	35	.	.	PUNCT
cana-3335	191	1	vectorization	vectorization	NOUN
cana-3335	191	2	techniques	technique	NOUN
cana-3335	191	3	used	use	VERB
cana-3335	191	4	for	for	ADP
cana-3335	191	5	creating	create	VERB
cana-3335	191	6	pattern	pattern	NOUN
cana-3335	191	7	dictionary	dictionary	NOUN
cana-3335	191	8	and	and	CCONJ
cana-3335	191	9	doc_term_matrix	doc_term_matrix	PROPN
cana-3335	191	10	preserved	preserve	VERB
cana-3335	191	11	the	the	DET
cana-3335	191	12	topic	topic	NOUN
cana-3335	191	13	hierarchy	hierarchy	NOUN
cana-3335	191	14	of	of	ADP
cana-3335	191	15	the	the	DET
cana-3335	191	16	documents	document	NOUN
cana-3335	191	17	.	.	PUNCT
cana-3335	192	1	also	also	ADV
cana-3335	192	2	,	,	PUNCT
cana-3335	192	3	it	it	PRON
cana-3335	192	4	is	be	AUX
cana-3335	192	5	to	to	PART
cana-3335	192	6	be	be	AUX
cana-3335	192	7	noticed	notice	VERB
cana-3335	192	8	that	that	SCONJ
cana-3335	192	9	isplda	isplda	ADJ
cana-3335	192	10	methods	method	NOUN
cana-3335	192	11	provide	provide	VERB
cana-3335	192	12	the	the	DET
cana-3335	192	13	best	well	ADV
cana-3335	192	14	learned	learn	VERB
cana-3335	192	15	descriptive	descriptive	ADJ
cana-3335	192	16	topics	topic	NOUN
cana-3335	192	17	compared	compare	VERB
cana-3335	192	18	to	to	ADP
cana-3335	192	19	the	the	DET
cana-3335	192	20	other	other	ADJ
cana-3335	192	21	methods	method	NOUN
cana-3335	192	22	,	,	PUNCT
cana-3335	192	23	aside	aside	ADV
cana-3335	192	24	from	from	ADP
cana-3335	192	25	some	some	DET
cana-3335	192	26	methods	method	NOUN
cana-3335	192	27	that	that	PRON
cana-3335	192	28	failed	fail	VERB
cana-3335	192	29	to	to	PART
cana-3335	192	30	create	create	VERB
cana-3335	192	31	topics	topic	NOUN
cana-3335	192	32	that	that	PRON
cana-3335	192	33	aggregate	aggregate	VERB
cana-3335	192	34	related	related	ADJ
cana-3335	192	35	words	word	NOUN
cana-3335	192	36	.	.	PUNCT
cana-3335	193	1	the	the	DET
cana-3335	193	2	isplda	isplda	ADJ
cana-3335	193	3	model	model	NOUN
cana-3335	193	4	produces	produce	VERB
cana-3335	193	5	higher	high	ADJ
cana-3335	193	6	-	-	PUNCT
cana-3335	193	7	quality	quality	NOUN
cana-3335	193	8	topics	topic	NOUN
cana-3335	193	9	and	and	CCONJ
cana-3335	193	10	more	more	ADV
cana-3335	193	11	coherent	coherent	ADJ
cana-3335	193	12	topics	topic	NOUN
cana-3335	193	13	than	than	ADP
cana-3335	193	14	the	the	DET
cana-3335	193	15	other	other	ADJ
cana-3335	193	16	methods	method	NOUN
cana-3335	193	17	in	in	ADP
cana-3335	193	18	our	our	PRON
cana-3335	193	19	evaluated	evaluated	ADJ
cana-3335	193	20	datasets	dataset	NOUN
cana-3335	193	21	.	.	PUNCT
cana-3335	194	1	extracting	extract	VERB
cana-3335	194	2	fewer	few	ADJ
cana-3335	194	3	numbers	number	NOUN
cana-3335	194	4	of	of	ADP
cana-3335	194	5	keywords	keyword	NOUN
cana-3335	194	6	led	lead	VERB
cana-3335	194	7	to	to	ADP
cana-3335	194	8	a	a	DET
cana-3335	194	9	high	high	ADJ
cana-3335	194	10	coherence	coherence	NOUN
cana-3335	194	11	score	score	NOUN
cana-3335	194	12	in	in	ADP
cana-3335	194	13	isplda	isplda	ADJ
cana-3335	194	14	[	[	X
cana-3335	194	15	10	10	NUM
cana-3335	194	16	]	]	PUNCT
cana-3335	194	17	.	.	PUNCT
cana-3335	195	1	conclusion	conclusion	NOUN
cana-3335	195	2	:	:	PUNCT
cana-3335	195	3	in	in	ADP
cana-3335	195	4	this	this	DET
cana-3335	195	5	paper	paper	NOUN
cana-3335	195	6	,	,	PUNCT
cana-3335	195	7	isp	isp	ADV
cana-3335	195	8	-	-	PUNCT
cana-3335	195	9	lda	lda	VERB
cana-3335	195	10	a	a	DET
cana-3335	195	11	topic	topic	NOUN
cana-3335	195	12	modeling	modeling	NOUN
cana-3335	195	13	based	base	VERB
cana-3335	195	14	method	method	NOUN
cana-3335	195	15	for	for	ADP
cana-3335	195	16	knowledge	knowledge	NOUN
cana-3335	195	17	discovery	discovery	PROPN
cana-3335	195	18	is	be	AUX
cana-3335	195	19	proposed	propose	VERB
cana-3335	195	20	.	.	PUNCT
cana-3335	196	1	it	it	PRON
cana-3335	196	2	works	work	VERB
cana-3335	196	3	in	in	ADP
cana-3335	196	4	unsupervised	unsupervised	ADJ
cana-3335	196	5	manner	manner	NOUN
cana-3335	196	6	,	,	PUNCT
cana-3335	196	7	gathering	gather	VERB
cana-3335	196	8	frequent	frequent	ADJ
cana-3335	196	9	semantic	semantic	ADJ
cana-3335	196	10	patterns	pattern	NOUN
cana-3335	196	11	using	use	VERB
cana-3335	196	12	xlnet	xlnet	NOUN
cana-3335	196	13	embedding	embed	VERB
cana-3335	196	14	on	on	ADP
cana-3335	196	15	natural	natural	ADJ
cana-3335	196	16	language	language	NOUN
cana-3335	196	17	data	datum	NOUN
cana-3335	196	18	.	.	PUNCT
cana-3335	197	1	big	big	ADJ
cana-3335	197	2	data	datum	NOUN
cana-3335	197	3	has	have	VERB
cana-3335	197	4	information	information	NOUN
cana-3335	197	5	and	and	CCONJ
cana-3335	197	6	knowledge	knowledge	NOUN
cana-3335	197	7	sources	source	NOUN
cana-3335	197	8	that	that	PRON
cana-3335	197	9	might	might	AUX
cana-3335	197	10	confuse	confuse	VERB
cana-3335	197	11	users	user	NOUN
cana-3335	197	12	and	and	CCONJ
cana-3335	197	13	cause	cause	VERB
cana-3335	197	14	them	they	PRON
cana-3335	197	15	to	to	PART
cana-3335	197	16	spend	spend	VERB
cana-3335	197	17	additional	additional	ADJ
cana-3335	197	18	time	time	NOUN
cana-3335	197	19	and	and	CCONJ
cana-3335	197	20	effort	effort	NOUN
cana-3335	197	21	trying	try	VERB
cana-3335	197	22	to	to	PART
cana-3335	197	23	find	find	VERB
cana-3335	197	24	applicable	applicable	ADJ
cana-3335	197	25	information	information	NOUN
cana-3335	197	26	about	about	ADP
cana-3335	197	27	specific	specific	ADJ
cana-3335	197	28	topics	topic	NOUN
cana-3335	197	29	or	or	CCONJ
cana-3335	197	30	objects	object	NOUN
cana-3335	197	31	.	.	PUNCT
cana-3335	198	1	conversely	conversely	ADV
cana-3335	198	2	,	,	PUNCT
cana-3335	198	3	the	the	DET
cana-3335	198	4	need	need	NOUN
cana-3335	198	5	to	to	PART
cana-3335	198	6	analyze	analyze	VERB
cana-3335	198	7	longer	long	ADJ
cana-3335	198	8	texts	text	NOUN
cana-3335	198	9	has	have	AUX
cana-3335	198	10	become	become	VERB
cana-3335	198	11	significantly	significantly	ADV
cana-3335	198	12	relevant	relevant	ADJ
cana-3335	198	13	.	.	PUNCT
cana-3335	199	1	the	the	DET
cana-3335	199	2	challenge	challenge	NOUN
cana-3335	199	3	with	with	ADP
cana-3335	199	4	inferring	infer	VERB
cana-3335	199	5	topics	topic	NOUN
cana-3335	199	6	from	from	ADP
cana-3335	199	7	documents	document	NOUN
cana-3335	199	8	is	be	AUX
cana-3335	199	9	due	due	ADJ
cana-3335	199	10	to	to	ADP
cana-3335	199	11	the	the	DET
cana-3335	199	12	fact	fact	NOUN
cana-3335	199	13	that	that	SCONJ
cana-3335	199	14	it	it	PRON
cana-3335	199	15	contains	contain	VERB
cana-3335	199	16	relatively	relatively	ADV
cana-3335	199	17	larger	large	ADJ
cana-3335	199	18	amounts	amount	NOUN
cana-3335	199	19	and	and	CCONJ
cana-3335	199	20	noisy	noisy	ADJ
cana-3335	199	21	data	datum	NOUN
cana-3335	199	22	that	that	PRON
cana-3335	199	23	might	might	AUX
cana-3335	199	24	result	result	VERB
cana-3335	199	25	in	in	ADP
cana-3335	199	26	inferring	infer	VERB
cana-3335	199	27	an	an	DET
cana-3335	199	28	inaccurate	inaccurate	ADJ
cana-3335	199	29	topic	topic	NOUN
cana-3335	199	30	.	.	PUNCT
cana-3335	200	1	isplda	isplda	PROPN
cana-3335	200	2	can	can	AUX
cana-3335	200	3	overcome	overcome	VERB
cana-3335	200	4	such	such	DET
cana-3335	200	5	a	a	DET
cana-3335	200	6	problem	problem	NOUN
cana-3335	200	7	since	since	SCONJ
cana-3335	200	8	it	it	PRON
cana-3335	200	9	incorporates	incorporate	VERB
cana-3335	200	10	semantic	semantic	ADJ
cana-3335	200	11	knowledge	knowledge	NOUN
cana-3335	200	12	about	about	ADP
cana-3335	200	13	domain	domain	NOUN
cana-3335	200	14	as	as	ADP
cana-3335	200	15	features	feature	NOUN
cana-3335	200	16	to	to	PART
cana-3335	200	17	achieve	achieve	VERB
cana-3335	200	18	topic	topic	NOUN
cana-3335	200	19	categorization	categorization	NOUN
cana-3335	200	20	.	.	PUNCT
cana-3335	201	1	the	the	DET
cana-3335	201	2	information	information	NOUN
cana-3335	201	3	regarding	regard	VERB
cana-3335	201	4	each	each	DET
cana-3335	201	5	topic	topic	NOUN
cana-3335	201	6	obtained	obtain	VERB
cana-3335	201	7	by	by	ADP
cana-3335	201	8	the	the	DET
cana-3335	201	9	proposed	propose	VERB
cana-3335	201	10	model	model	NOUN
cana-3335	201	11	can	can	AUX
cana-3335	201	12	be	be	AUX
cana-3335	201	13	applied	apply	VERB
cana-3335	201	14	to	to	ADP
cana-3335	201	15	numerous	numerous	ADJ
cana-3335	201	16	areas	area	NOUN
cana-3335	201	17	of	of	ADP
cana-3335	201	18	study	study	NOUN
cana-3335	201	19	such	such	ADJ
cana-3335	201	20	as	as	ADP
cana-3335	201	21	information	information	NOUN
cana-3335	201	22	retrieval	retrieval	NOUN
cana-3335	201	23	,	,	PUNCT
cana-3335	201	24	computational	computational	ADJ
cana-3335	201	25	linguistics	linguistic	NOUN
cana-3335	201	26	and	and	CCONJ
cana-3335	201	27	nlp	nlp	NOUN
cana-3335	201	28	.	.	PUNCT
cana-3335	202	1	text	text	NOUN
cana-3335	202	2	pattern	pattern	NOUN
cana-3335	202	3	mining	mining	NOUN
cana-3335	202	4	approaches	approach	NOUN
cana-3335	202	5	still	still	ADV
cana-3335	202	6	have	have	VERB
cana-3335	202	7	challenges	challenge	NOUN
cana-3335	202	8	related	relate	VERB
cana-3335	202	9	to	to	ADP
cana-3335	202	10	methods	method	NOUN
cana-3335	202	11	used	use	VERB
cana-3335	202	12	to	to	PART
cana-3335	202	13	solve	solve	VERB
cana-3335	202	14	real	real	ADJ
cana-3335	202	15	-	-	PUNCT
cana-3335	202	16	world	world	NOUN
cana-3335	202	17	tasks	task	NOUN
cana-3335	202	18	like	like	ADP
cana-3335	202	19	scalability	scalability	NOUN
cana-3335	202	20	problems	problem	NOUN
cana-3335	202	21	.	.	PUNCT
cana-3335	203	1	communications	communication	NOUN
cana-3335	203	2	on	on	ADP
cana-3335	203	3	applied	apply	VERB
cana-3335	203	4	nonlinear	nonlinear	ADJ
cana-3335	203	5	analysis	analysis	NOUN
cana-3335	203	6	issn	issn	NOUN
cana-3335	203	7	:	:	PUNCT
cana-3335	203	8	1074	1074	NUM
cana-3335	203	9	-	-	PUNCT
cana-3335	203	10	133x	133x	NUM
cana-3335	203	11	vol	vol	NOUN
cana-3335	203	12	32	32	NUM
cana-3335	203	13	no	no	NOUN
cana-3335	203	14	.	.	PUNCT
cana-3335	204	1	7s	7	NOUN
cana-3335	204	2	(	(	PUNCT
cana-3335	204	3	2025	2025	NUM
cana-3335	204	4	)	)	PUNCT
cana-3335	204	5	23	23	NUM
cana-3335	205	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3335	205	2	references	reference	NOUN
cana-3335	205	3	:	:	PUNCT
cana-3335	205	4	[	[	X
cana-3335	205	5	1	1	NUM
cana-3335	205	6	]	]	X
cana-3335	205	7	aggarwal	aggarwal	NOUN
cana-3335	205	8	,	,	PUNCT
cana-3335	205	9	a.	a.	NOUN
cana-3335	205	10	,	,	PUNCT
cana-3335	205	11	&	&	CCONJ
cana-3335	205	12	toshniwal	toshniwal	PROPN
cana-3335	205	13	,	,	PUNCT
cana-3335	205	14	d.	d.	PROPN
cana-3335	205	15	(	(	PUNCT
cana-3335	205	16	2019	2019	NUM
cana-3335	205	17	)	)	PUNCT
cana-3335	205	18	.	.	PUNCT
cana-3335	206	1	frequent	frequent	ADJ
cana-3335	206	2	pattern	pattern	NOUN
cana-3335	206	3	mining	mining	NOUN
cana-3335	206	4	on	on	ADP
cana-3335	206	5	time	time	NOUN
cana-3335	206	6	and	and	CCONJ
cana-3335	206	7	location	location	NOUN
cana-3335	206	8	aware	aware	ADJ
cana-3335	206	9	air	air	NOUN
cana-3335	206	10	quality	quality	NOUN
cana-3335	206	11	data	datum	NOUN
cana-3335	206	12	.	.	PUNCT
cana-3335	207	1	ieee	ieee	NOUN
cana-3335	207	2	access	access	NOUN
cana-3335	207	3	,	,	PUNCT
cana-3335	207	4	7	7	NUM
cana-3335	207	5	,	,	PUNCT
cana-3335	207	6	98921	98921	NUM
cana-3335	207	7	-	-	SYM
cana-3335	207	8	98933	98933	NUM
cana-3335	207	9	.	.	PUNCT
cana-3335	208	1	[	[	X
cana-3335	208	2	2	2	NUM
cana-3335	208	3	]	]	X
cana-3335	208	4	fischer	fischer	PROPN
cana-3335	208	5	,	,	PUNCT
cana-3335	208	6	c.	c.	PROPN
cana-3335	208	7	,	,	PUNCT
cana-3335	208	8	pardos	pardo	NOUN
cana-3335	208	9	,	,	PUNCT
cana-3335	208	10	z.	z.	PROPN
cana-3335	208	11	a.	a.	PROPN
cana-3335	208	12	,	,	PUNCT
cana-3335	208	13	baker	baker	PROPN
cana-3335	208	14	,	,	PUNCT
cana-3335	208	15	r.	r.	PROPN
cana-3335	208	16	s.	s.	PROPN
cana-3335	208	17	,	,	PUNCT
cana-3335	208	18	williams	williams	PROPN
cana-3335	208	19	,	,	PUNCT
cana-3335	208	20	j.	j.	PROPN
cana-3335	208	21	j.	j.	PROPN
cana-3335	208	22	,	,	PUNCT
cana-3335	208	23	smyth	smyth	PROPN
cana-3335	208	24	,	,	PUNCT
cana-3335	208	25	p.	p.	PROPN
cana-3335	208	26	,	,	PUNCT
cana-3335	208	27	yu	yu	PROPN
cana-3335	208	28	,	,	PUNCT
cana-3335	208	29	r.	r.	PROPN
cana-3335	208	30	,	,	PUNCT
cana-3335	208	31	...	...	PUNCT
cana-3335	208	32	&	&	CCONJ
cana-3335	208	33	warschauer	warschauer	PROPN
cana-3335	208	34	,	,	PUNCT
cana-3335	208	35	m.	m.	NOUN
cana-3335	208	36	(	(	PUNCT
cana-3335	208	37	2020	2020	NUM
cana-3335	208	38	)	)	PUNCT
cana-3335	208	39	.	.	PUNCT
cana-3335	209	1	mining	mine	VERB
cana-3335	209	2	big	big	ADJ
cana-3335	209	3	data	datum	NOUN
cana-3335	209	4	in	in	ADP
cana-3335	209	5	education	education	NOUN
cana-3335	209	6	:	:	PUNCT
cana-3335	209	7	affordances	affordance	NOUN
cana-3335	209	8	and	and	CCONJ
cana-3335	209	9	challenges	challenge	NOUN
cana-3335	209	10	.	.	PUNCT
cana-3335	210	1	review	review	NOUN
cana-3335	210	2	of	of	ADP
cana-3335	210	3	research	research	NOUN
cana-3335	210	4	in	in	ADP
cana-3335	210	5	education	education	NOUN
cana-3335	210	6	,	,	PUNCT
cana-3335	210	7	44(1	44(1	PROPN
cana-3335	210	8	)	)	PUNCT
cana-3335	210	9	,	,	PUNCT
cana-3335	210	10	130	130	NUM
cana-3335	210	11	-	-	SYM
cana-3335	210	12	160	160	NUM
cana-3335	210	13	.	.	PUNCT
cana-3335	211	1	[	[	X
cana-3335	211	2	3	3	NUM
cana-3335	211	3	]	]	PUNCT
cana-3335	211	4	ghojogh	ghojogh	PROPN
cana-3335	211	5	,	,	PUNCT
cana-3335	211	6	b.	b.	PROPN
cana-3335	211	7	,	,	PUNCT
cana-3335	211	8	samad	samad	PROPN
cana-3335	211	9	,	,	PUNCT
cana-3335	211	10	m.	m.	NOUN
cana-3335	211	11	n.	n.	NOUN
cana-3335	211	12	,	,	PUNCT
cana-3335	211	13	mashhadi	mashhadi	NOUN
cana-3335	211	14	,	,	PUNCT
cana-3335	211	15	s.	s.	PROPN
cana-3335	211	16	a.	a.	PROPN
cana-3335	211	17	,	,	PUNCT
cana-3335	211	18	kapoor	kapoor	PROPN
cana-3335	211	19	,	,	PUNCT
cana-3335	211	20	t.	t.	PROPN
cana-3335	211	21	,	,	PUNCT
cana-3335	211	22	ali	ali	PROPN
cana-3335	211	23	,	,	PUNCT
cana-3335	211	24	w.	w.	PROPN
cana-3335	211	25	,	,	PUNCT
cana-3335	211	26	karray	karray	PROPN
cana-3335	211	27	,	,	PUNCT
cana-3335	211	28	f.	f.	PROPN
cana-3335	211	29	,	,	PUNCT
cana-3335	211	30	&	&	CCONJ
cana-3335	211	31	crowley	crowley	PROPN
cana-3335	211	32	,	,	PUNCT
cana-3335	211	33	m.	m.	NOUN
cana-3335	211	34	(	(	PUNCT
cana-3335	211	35	2019	2019	NUM
cana-3335	211	36	)	)	PUNCT
cana-3335	211	37	.	.	PUNCT
cana-3335	212	1	“	"	PUNCT
cana-3335	212	2	feature	feature	NOUN
cana-3335	212	3	selection	selection	NOUN
cana-3335	212	4	and	and	CCONJ
cana-3335	212	5	feature	feature	NOUN
cana-3335	212	6	extraction	extraction	NOUN
cana-3335	212	7	in	in	ADP
cana-3335	212	8	pattern	pattern	NOUN
cana-3335	212	9	analysis	analysis	NOUN
cana-3335	212	10	:	:	PUNCT
cana-3335	212	11	a	a	DET
cana-3335	212	12	literature	literature	NOUN
cana-3335	212	13	review	review	NOUN
cana-3335	212	14	”	"	PUNCT
cana-3335	212	15	,	,	PUNCT
cana-3335	212	16	arxiv	arxiv	PROPN
cana-3335	212	17	preprint	preprint	VERB
cana-3335	212	18	arxiv:1905.02845	arxiv:1905.02845	ADJ
cana-3335	212	19	.	.	PUNCT
cana-3335	213	1	[	[	X
cana-3335	213	2	4	4	NUM
cana-3335	213	3	]	]	X
cana-3335	213	4	gurcan	gurcan	PROPN
cana-3335	213	5	,	,	PUNCT
cana-3335	213	6	f.	f.	PROPN
cana-3335	213	7	,	,	PUNCT
cana-3335	213	8	&	&	CCONJ
cana-3335	213	9	cagiltay	cagiltay	NOUN
cana-3335	213	10	,	,	PUNCT
cana-3335	213	11	n.	n.	PROPN
cana-3335	213	12	e.	e.	PROPN
cana-3335	213	13	(	(	PUNCT
cana-3335	213	14	2019	2019	NUM
cana-3335	213	15	)	)	PUNCT
cana-3335	213	16	“	"	PUNCT
cana-3335	213	17	big	big	ADJ
cana-3335	213	18	data	datum	NOUN
cana-3335	213	19	software	software	NOUN
cana-3335	213	20	engineering	engineering	NOUN
cana-3335	213	21	:	:	PUNCT
cana-3335	213	22	analysis	analysis	NOUN
cana-3335	213	23	of	of	ADP
cana-3335	213	24	knowledge	knowledge	NOUN
cana-3335	213	25	domains	domain	NOUN
cana-3335	213	26	and	and	CCONJ
cana-3335	213	27	skill	skill	NOUN
cana-3335	213	28	sets	set	NOUN
cana-3335	213	29	using	use	VERB
cana-3335	213	30	lda	lda	NOUN
cana-3335	213	31	-	-	PUNCT
cana-3335	213	32	based	base	VERB
cana-3335	213	33	topic	topic	NOUN
cana-3335	213	34	modeling	modeling	NOUN
cana-3335	213	35	”	"	PUNCT
cana-3335	213	36	,	,	PUNCT
cana-3335	213	37	ieee	ieee	NOUN
cana-3335	213	38	access	access	NOUN
cana-3335	213	39	,	,	PUNCT
cana-3335	213	40	7	7	NUM
cana-3335	213	41	,	,	PUNCT
cana-3335	213	42	82541	82541	NUM
cana-3335	213	43	-	-	SYM
cana-3335	213	44	82552	82552	NUM
cana-3335	213	45	.	.	PUNCT
cana-3335	214	1	[	[	X
cana-3335	214	2	5	5	NUM
cana-3335	214	3	]	]	X
cana-3335	214	4	jankowski	jankowski	NOUN
cana-3335	214	5	,	,	PUNCT
cana-3335	214	6	m.	m.	NOUN
cana-3335	214	7	(	(	PUNCT
cana-3335	214	8	2018	2018	NUM
cana-3335	214	9	,	,	PUNCT
cana-3335	214	10	june	june	PROPN
cana-3335	214	11	)	)	PUNCT
cana-3335	214	12	,	,	PUNCT
cana-3335	214	13	“	"	PUNCT
cana-3335	214	14	boost	boost	VERB
cana-3335	214	15	multi	multi	ADJ
cana-3335	214	16	-	-	ADJ
cana-3335	214	17	class	class	ADJ
cana-3335	214	18	slda	slda	ADJ
cana-3335	214	19	model	model	NOUN
cana-3335	214	20	for	for	ADP
cana-3335	214	21	text	text	NOUN
cana-3335	214	22	classification	classification	NOUN
cana-3335	214	23	”	"	PUNCT
cana-3335	214	24	.	.	PUNCT
cana-3335	215	1	in	in	ADP
cana-3335	215	2	international	international	ADJ
cana-3335	215	3	conference	conference	NOUN
cana-3335	215	4	on	on	ADP
cana-3335	215	5	artificial	artificial	ADJ
cana-3335	215	6	intelligence	intelligence	NOUN
cana-3335	215	7	and	and	CCONJ
cana-3335	215	8	soft	soft	ADJ
cana-3335	215	9	computing	computing	NOUN
cana-3335	215	10	(	(	PUNCT
cana-3335	215	11	pp	pp	ADJ
cana-3335	215	12	.	.	PUNCT
cana-3335	216	1	633	633	NUM
cana-3335	216	2	-	-	SYM
cana-3335	216	3	644	644	NUM
cana-3335	216	4	)	)	PUNCT
cana-3335	216	5	.	.	PUNCT
cana-3335	217	1	springer	springer	NOUN
cana-3335	217	2	,	,	PUNCT
cana-3335	217	3	cham	cham	PROPN
cana-3335	217	4	.	.	PUNCT
cana-3335	218	1	[	[	X
cana-3335	218	2	6	6	NUM
cana-3335	218	3	]	]	X
cana-3335	218	4	ko	ko	PROPN
cana-3335	218	5	,	,	PUNCT
cana-3335	218	6	a.	a.	PROPN
cana-3335	218	7	,	,	PUNCT
cana-3335	218	8	&	&	CCONJ
cana-3335	218	9	gillani	gillani	PROPN
cana-3335	218	10	,	,	PUNCT
cana-3335	218	11	s.	s.	PROPN
cana-3335	218	12	(	(	PUNCT
cana-3335	218	13	2020	2020	NUM
cana-3335	218	14	)	)	PUNCT
cana-3335	218	15	,	,	PUNCT
cana-3335	218	16	“	"	PUNCT
cana-3335	218	17	a	a	DET
cana-3335	218	18	research	research	NOUN
cana-3335	218	19	review	review	NOUN
cana-3335	218	20	and	and	CCONJ
cana-3335	218	21	taxonomy	taxonomy	NOUN
cana-3335	218	22	development	development	NOUN
cana-3335	218	23	for	for	ADP
cana-3335	218	24	decision	decision	NOUN
cana-3335	218	25	support	support	NOUN
cana-3335	218	26	and	and	CCONJ
cana-3335	218	27	business	business	NOUN
cana-3335	218	28	analytics	analytic	NOUN
cana-3335	218	29	using	use	VERB
cana-3335	218	30	semantic	semantic	ADJ
cana-3335	218	31	text	text	NOUN
cana-3335	218	32	mining	mining	NOUN
cana-3335	218	33	”	"	PUNCT
cana-3335	218	34	,	,	PUNCT
cana-3335	218	35	international	international	ADJ
cana-3335	218	36	journal	journal	NOUN
cana-3335	218	37	of	of	ADP
cana-3335	218	38	information	information	NOUN
cana-3335	218	39	technology	technology	NOUN
cana-3335	218	40	&	&	CCONJ
cana-3335	218	41	decision	decision	NOUN
cana-3335	218	42	making	making	NOUN
cana-3335	218	43	,	,	PUNCT
cana-3335	218	44	19(01	19(01	NUM
cana-3335	218	45	)	)	PUNCT
cana-3335	218	46	,	,	PUNCT
cana-3335	218	47	97	97	NUM
cana-3335	218	48	-	-	SYM
cana-3335	218	49	126	126	NUM
cana-3335	218	50	.	.	PUNCT
cana-3335	219	1	[	[	X
cana-3335	219	2	7	7	X
cana-3335	219	3	]	]	X
cana-3335	219	4	kumar	kumar	PROPN
cana-3335	219	5	,	,	PUNCT
cana-3335	219	6	s.	s.	PROPN
cana-3335	219	7	,	,	PUNCT
cana-3335	219	8	kar	kar	PROPN
cana-3335	219	9	,	,	PUNCT
cana-3335	219	10	a.	a.	PROPN
cana-3335	219	11	k.	k.	PROPN
cana-3335	219	12	,	,	PUNCT
cana-3335	219	13	&	&	CCONJ
cana-3335	219	14	ilavarasan	ilavarasan	PROPN
cana-3335	219	15	,	,	PUNCT
cana-3335	219	16	p.	p.	NOUN
cana-3335	219	17	v.	v.	PROPN
cana-3335	219	18	(	(	PUNCT
cana-3335	219	19	2021	2021	NUM
cana-3335	219	20	)	)	PUNCT
cana-3335	219	21	,	,	PUNCT
cana-3335	219	22	“	"	PUNCT
cana-3335	219	23	applications	application	NOUN
cana-3335	219	24	of	of	ADP
cana-3335	219	25	text	text	NOUN
cana-3335	219	26	mining	mining	NOUN
cana-3335	219	27	in	in	ADP
cana-3335	219	28	services	service	NOUN
cana-3335	219	29	management	management	NOUN
cana-3335	219	30	:	:	PUNCT
cana-3335	219	31	a	a	DET
cana-3335	219	32	systematic	systematic	ADJ
cana-3335	219	33	literature	literature	NOUN
cana-3335	219	34	review	review	PROPN
cana-3335	219	35	”	"	PUNCT
cana-3335	219	36	,	,	PUNCT
cana-3335	219	37	international	international	ADJ
cana-3335	219	38	journal	journal	NOUN
cana-3335	219	39	of	of	ADP
cana-3335	219	40	information	information	NOUN
cana-3335	219	41	management	management	NOUN
cana-3335	219	42	data	datum	NOUN
cana-3335	219	43	insights	insight	NOUN
cana-3335	219	44	,	,	PUNCT
cana-3335	219	45	1(1	1(1	NUM
cana-3335	219	46	)	)	PUNCT
cana-3335	219	47	,	,	PUNCT
cana-3335	219	48	100008	100008	NUM
cana-3335	219	49	.	.	PUNCT
cana-3335	220	1	[	[	X
cana-3335	220	2	8	8	NUM
cana-3335	220	3	]	]	SYM
cana-3335	220	4	li	li	PROPN
cana-3335	220	5	,	,	PUNCT
cana-3335	220	6	y.	y.	PROPN
cana-3335	220	7	,	,	PUNCT
cana-3335	220	8	&	&	CCONJ
cana-3335	220	9	zhang	zhang	PROPN
cana-3335	220	10	,	,	PUNCT
cana-3335	220	11	d.	d.	PROPN
cana-3335	220	12	(	(	PUNCT
cana-3335	220	13	2020	2020	NUM
cana-3335	220	14	,	,	PUNCT
cana-3335	220	15	september	september	PROPN
cana-3335	220	16	)	)	PUNCT
cana-3335	220	17	,	,	PUNCT
cana-3335	220	18	”	"	PUNCT
cana-3335	220	19	hadoop	hadoop	NOUN
cana-3335	220	20	-	-	PUNCT
cana-3335	220	21	based	base	VERB
cana-3335	220	22	university	university	NOUN
cana-3335	220	23	ideological	ideological	ADJ
cana-3335	220	24	and	and	CCONJ
cana-3335	220	25	political	political	ADJ
cana-3335	220	26	big	big	ADJ
cana-3335	220	27	data	datum	NOUN
cana-3335	220	28	platform	platform	NOUN
cana-3335	220	29	design	design	NOUN
cana-3335	220	30	and	and	CCONJ
cana-3335	220	31	behavior	behavior	NOUN
cana-3335	220	32	pattern	pattern	NOUN
cana-3335	220	33	mining	mining	NOUN
cana-3335	220	34	”	"	PUNCT
cana-3335	220	35	,	,	PUNCT
cana-3335	220	36	in	in	ADP
cana-3335	220	37	2020	2020	NUM
cana-3335	220	38	international	international	ADJ
cana-3335	220	39	conference	conference	NOUN
cana-3335	220	40	on	on	ADP
cana-3335	220	41	advance	advance	NOUN
cana-3335	220	42	in	in	ADP
cana-3335	220	43	ambient	ambient	ADJ
cana-3335	220	44	computing	computing	NOUN
cana-3335	220	45	and	and	CCONJ
cana-3335	220	46	intelligence	intelligence	NOUN
cana-3335	220	47	(	(	PUNCT
cana-3335	220	48	icaaci	icaaci	NOUN
cana-3335	220	49	)	)	PUNCT
cana-3335	220	50	(	(	PUNCT
cana-3335	220	51	pp	pp	ADJ
cana-3335	220	52	.	.	PUNCT
cana-3335	221	1	47	47	NUM
cana-3335	221	2	-	-	SYM
cana-3335	221	3	51	51	NUM
cana-3335	221	4	)	)	PUNCT
cana-3335	221	5	,	,	PUNCT
cana-3335	221	6	ieee	ieee	NOUN
cana-3335	221	7	.	.	PUNCT
cana-3335	222	1	[	[	X
cana-3335	222	2	9	9	NUM
cana-3335	222	3	]	]	SYM
cana-3335	222	4	min	min	PROPN
cana-3335	222	5	,	,	PUNCT
cana-3335	222	6	f.	f.	PROPN
cana-3335	222	7	,	,	PUNCT
cana-3335	222	8	zhang	zhang	PROPN
cana-3335	222	9	,	,	PUNCT
cana-3335	222	10	z.	z.	PROPN
cana-3335	222	11	h.	h.	PROPN
cana-3335	222	12	,	,	PUNCT
cana-3335	222	13	zhai	zhai	PROPN
cana-3335	222	14	,	,	PUNCT
cana-3335	222	15	w.	w.	PROPN
cana-3335	222	16	j.	j.	PROPN
cana-3335	222	17	,	,	PUNCT
cana-3335	222	18	&	&	CCONJ
cana-3335	222	19	shen	shen	PROPN
cana-3335	222	20	,	,	PUNCT
cana-3335	222	21	r.	r.	PROPN
cana-3335	222	22	p.	p.	PROPN
cana-3335	222	23	(	(	PUNCT
cana-3335	222	24	2020	2020	NUM
cana-3335	222	25	)	)	PUNCT
cana-3335	222	26	“	"	PUNCT
cana-3335	222	27	frequent	frequent	ADJ
cana-3335	222	28	pattern	pattern	NOUN
cana-3335	222	29	discovery	discovery	NOUN
cana-3335	222	30	with	with	ADP
cana-3335	222	31	tri	tri	ADJ
cana-3335	222	32	-	-	ADJ
cana-3335	222	33	partition	partition	ADJ
cana-3335	222	34	alphabets	alphabet	NOUN
cana-3335	222	35	”	"	PUNCT
cana-3335	222	36	,	,	PUNCT
cana-3335	222	37	information	information	NOUN
cana-3335	222	38	sciences	science	NOUN
cana-3335	222	39	,	,	PUNCT
cana-3335	222	40	507	507	NUM
cana-3335	222	41	,	,	PUNCT
cana-3335	222	42	715	715	NUM
cana-3335	222	43	-	-	SYM
cana-3335	222	44	732	732	NUM
cana-3335	222	45	.	.	PUNCT
cana-3335	223	1	[	[	X
cana-3335	223	2	10	10	NUM
cana-3335	223	3	]	]	PUNCT
cana-3335	223	4	saquicela	saquicela	PROPN
cana-3335	223	5	,	,	PUNCT
cana-3335	223	6	v.	v.	PROPN
cana-3335	223	7	,	,	PUNCT
cana-3335	223	8	baculima	baculima	PROPN
cana-3335	223	9	,	,	PUNCT
cana-3335	223	10	f.	f.	PROPN
cana-3335	223	11	,	,	PUNCT
cana-3335	223	12	orellana	orellana	PROPN
cana-3335	223	13	,	,	PUNCT
cana-3335	223	14	g.	g.	PROPN
cana-3335	223	15	,	,	PUNCT
cana-3335	223	16	piedra	piedra	PROPN
cana-3335	223	17	,	,	PUNCT
cana-3335	223	18	n.	n.	PROPN
cana-3335	223	19	,	,	PUNCT
cana-3335	223	20	orellana	orellana	PROPN
cana-3335	223	21	,	,	PUNCT
cana-3335	223	22	m.	m.	NOUN
cana-3335	223	23	,	,	PUNCT
cana-3335	223	24	&	&	CCONJ
cana-3335	223	25	espinoza	espinoza	PROPN
cana-3335	223	26	,	,	PUNCT
cana-3335	223	27	m.	m.	NOUN
cana-3335	223	28	(	(	PUNCT
cana-3335	223	29	2018	2018	NUM
cana-3335	223	30	)	)	PUNCT
cana-3335	223	31	.	.	PUNCT
cana-3335	224	1	similarity	similarity	NOUN
cana-3335	224	2	detection	detection	NOUN
cana-3335	224	3	among	among	ADP
cana-3335	224	4	academic	academic	ADJ
cana-3335	224	5	contents	content	NOUN
cana-3335	224	6	through	through	ADP
cana-3335	224	7	semantic	semantic	ADJ
cana-3335	224	8	technologies	technology	NOUN
cana-3335	224	9	and	and	CCONJ
cana-3335	224	10	text	text	NOUN
cana-3335	224	11	mining	mining	NOUN
cana-3335	224	12	.	.	PUNCT
cana-3335	225	1	in	in	ADP
cana-3335	225	2	iwsw	iwsw	PROPN
cana-3335	225	3	(	(	PUNCT
cana-3335	225	4	pp	pp	ADJ
cana-3335	225	5	.	.	PUNCT
cana-3335	226	1	1	1	NUM
cana-3335	226	2	-	-	SYM
cana-3335	226	3	12	12	NUM
cana-3335	226	4	)	)	PUNCT
cana-3335	226	5	.	.	PUNCT
cana-3335	227	1	[	[	X
cana-3335	227	2	11	11	NUM
cana-3335	227	3	]	]	X
cana-3335	227	4	sundravadivelu	sundravadivelu	NOUN
cana-3335	227	5	,	,	PUNCT
cana-3335	227	6	k	k	NOUN
cana-3335	227	7	,	,	PUNCT
cana-3335	227	8	senthilvel	senthilvel	VERB
cana-3335	227	9	,	,	PUNCT
cana-3335	227	10	p.g	p.g	PROPN
cana-3335	227	11	.	.	PROPN
cana-3335	227	12	,duraimutharasan	,duraimutharasan	PROPN
cana-3335	227	13	,	,	PUNCT
cana-3335	227	14	n.	n.	PROPN
cana-3335	227	15	,esther	,esther	PUNCT
cana-3335	227	16	t	t	PROPN
cana-3335	227	17	,	,	PUNCT
cana-3335	227	18	h.r	h.r	PROPN
cana-3335	227	19	.	.	PROPN
cana-3335	227	20	,kumar	,kumar	PROPN
cana-3335	227	21	.	.	PUNCT
cana-3335	228	1	k	k	X
cana-3335	228	2	,	,	PUNCT
cana-3335	228	3	r.	r.	PROPN
cana-3335	228	4	”	"	PUNCT
cana-3335	228	5	extensive	extensive	ADJ
cana-3335	228	6	analysis	analysis	NOUN
cana-3335	228	7	of	of	ADP
cana-3335	228	8	iot	iot	NOUN
cana-3335	228	9	assisted	assist	VERB
cana-3335	228	10	fake	fake	ADJ
cana-3335	228	11	currency	currency	NOUN
cana-3335	228	12	detection	detection	NOUN
cana-3335	228	13	using	use	VERB
cana-3335	228	14	novel	novel	ADJ
cana-3335	228	15	learning	learn	VERB
cana-3335	228	16	scheme	scheme	NOUN
cana-3335	228	17	”	"	PUNCT
cana-3335	228	18	,	,	PUNCT
cana-3335	228	19	icaiss	icaiss	ADJ
cana-3335	228	20	2023	2023	NUM
cana-3335	228	21	,	,	PUNCT
cana-3335	228	22	pp	pp	ADJ
cana-3335	228	23	.	.	PUNCT
cana-3335	229	1	1469–1477	1469–1477	NUM
cana-3335	229	2	,	,	PUNCT
cana-3335	229	3	10.1109	10.1109	NUM
cana-3335	229	4	/	/	SYM
cana-3335	229	5	icaiss58487.2023.10250560	icaiss58487.2023.10250560	PROPN
cana-3335	229	6	.	.	PUNCT
cana-3335	230	1	[	[	X
cana-3335	230	2	12	12	NUM
cana-3335	230	3	]	]	X
cana-3335	230	4	sundravadivelu	sundravadivelu	NOUN
cana-3335	230	5	,	,	PUNCT
cana-3335	230	6	k	k	NOUN
cana-3335	230	7	,	,	PUNCT
cana-3335	230	8	senthilvel	senthilvel	VERB
cana-3335	230	9	,	,	PUNCT
cana-3335	230	10	p.g	p.g	PROPN
cana-3335	230	11	.	.	PROPN
cana-3335	230	12	,thirupurasundari	,thirupurasundari	PROPN
cana-3335	230	13	,	,	PUNCT
cana-3335	230	14	d.r	d.r	PROPN
cana-3335	230	15	.	.	PROPN
cana-3335	230	16	,rajesh	,rajesh	PUNCT
cana-3335	230	17	kumar	kumar	PROPN
cana-3335	230	18	,	,	PUNCT
cana-3335	230	19	k.	k.	PROPN
cana-3335	230	20	,palani	,palani	PROPN
cana-3335	230	21	,	,	PUNCT
cana-3335	230	22	h.k	h.k	PROPN
cana-3335	230	23	.	.	PROPN
cana-3335	230	24	,	,	PUNCT
cana-3335	230	25	“	"	PUNCT
cana-3335	230	26	automated	automate	VERB
cana-3335	230	27	dronebased	dronebase	VERB
cana-3335	230	28	imaging	imaging	NOUN
cana-3335	230	29	systems	system	NOUN
cana-3335	230	30	for	for	ADP
cana-3335	230	31	plant	plant	NOUN
cana-3335	230	32	health	health	NOUN
cana-3335	230	33	monitoring	monitoring	NOUN
cana-3335	230	34	using	use	VERB
cana-3335	230	35	deep	deep	ADJ
cana-3335	230	36	learningtechniques”,2023	learningtechniques”,2023	NOUN
cana-3335	230	37	,	,	PUNCT
cana-3335	230	38	intelligent	intelligent	ADJ
cana-3335	230	39	computing	computing	NOUN
cana-3335	230	40	and	and	CCONJ
cana-3335	230	41	control	control	NOUN
cana-3335	230	42	for	for	ADP
cana-3335	230	43	engineering	engineering	NOUN
cana-3335	230	44	and	and	CCONJ
cana-3335	230	45	business	business	NOUN
cana-3335	230	46	systems	system	NOUN
cana-3335	230	47	,	,	PUNCT
cana-3335	230	48	iccebs	iccebs	ADJ
cana-3335	230	49	2023	2023	NUM
cana-3335	230	50	,	,	PUNCT
cana-3335	230	51	ieee	ieee	NOUN
cana-3335	230	52	,	,	PUNCT
cana-3335	230	53	10.1109	10.1109	NUM
cana-3335	230	54	/	/	SYM
cana-3335	230	55	iccebs58601.2023.10449190	iccebs58601.2023.10449190	NOUN
cana-3335	230	56	.	.	PUNCT
cana-3335	231	1	[	[	X
cana-3335	231	2	13	13	NUM
cana-3335	231	3	]	]	X
cana-3335	231	4	sundravadivelu	sundravadivelu	NOUN
cana-3335	231	5	,	,	PUNCT
cana-3335	231	6	k.	k.	PROPN
cana-3335	231	7	,	,	PUNCT
cana-3335	231	8	thangaraj	thangaraj	PROPN
cana-3335	231	9	,	,	PUNCT
cana-3335	231	10	m.	m.	NOUN
cana-3335	231	11	,	,	PUNCT
cana-3335	231	12	gnanambal	gnanambal	PROPN
cana-3335	231	13	,	,	PUNCT
cana-3335	231	14	s.	s.	PROPN
cana-3335	231	15	(	(	PUNCT
cana-3335	231	16	2022	2022	NUM
cana-3335	231	17	)	)	PUNCT
cana-3335	231	18	.	.	PUNCT
cana-3335	232	1	an	an	DET
cana-3335	232	2	extensive	extensive	ADJ
cana-3335	232	3	work	work	NOUN
cana-3335	232	4	on	on	ADP
cana-3335	232	5	comparing	compare	VERB
cana-3335	232	6	sentiment	sentiment	NOUN
cana-3335	232	7	patterns	pattern	NOUN
cana-3335	232	8	in	in	ADP
cana-3335	232	9	twitter	twitter	NOUN
cana-3335	232	10	archives	archive	NOUN
cana-3335	232	11	between	between	ADP
cana-3335	232	12	two	two	NUM
cana-3335	232	13	persons	person	NOUN
cana-3335	232	14	.	.	PUNCT
cana-3335	233	1	international	international	ADJ
cana-3335	233	2	journal	journal	PROPN
cana-3335	233	3	of	of	ADP
cana-3335	233	4	health	health	PROPN
cana-3335	233	5	sciences,6(s7	sciences,6(s7	PROPN
cana-3335	233	6	)	)	PUNCT
cana-3335	233	7	,	,	PUNCT
cana-3335	233	8	51705180	51705180	NUM
cana-3335	233	9	.	.	PUNCT
cana-3335	234	1	https://doi.org/10.53730/ijhs.v6ns7.13104	https://doi.org/10.53730/ijhs.v6ns7.13104	X
cana-3335	234	2	.	.	PUNCT
cana-3335	235	1	[	[	X
cana-3335	235	2	14	14	NUM
cana-3335	235	3	]	]	X
cana-3335	235	4	sundravadivelu	sundravadivelu	NOUN
cana-3335	235	5	.	.	PUNCT
cana-3335	236	1	k	k	X
cana-3335	236	2	,	,	PUNCT
cana-3335	236	3	m.	m.	NOUN
cana-3335	236	4	thangaraj	thangaraj	PROPN
cana-3335	236	5	,	,	PUNCT
cana-3335	236	6	“	"	PUNCT
cana-3335	236	7	analyzing	analyze	VERB
cana-3335	236	8	educational	educational	ADJ
cana-3335	236	9	tweets	tweet	NOUN
cana-3335	236	10	using	use	VERB
cana-3335	236	11	lda	lda	PROPN
cana-3335	236	12	model	model	NOUN
cana-3335	236	13	”	"	PUNCT
cana-3335	236	14	,	,	PUNCT
cana-3335	236	15	international	international	ADJ
cana-3335	236	16	journal	journal	NOUN
cana-3335	236	17	of	of	ADP
cana-3335	236	18	intelligent	intelligent	ADJ
cana-3335	236	19	systems	system	NOUN
cana-3335	236	20	and	and	CCONJ
cana-3335	236	21	applications	application	NOUN
cana-3335	236	22	in	in	ADP
cana-3335	236	23	engineering	engineering	NOUN
cana-3335	236	24	(	(	PUNCT
cana-3335	236	25	ijisae	ijisae	PROPN
cana-3335	236	26	)	)	PUNCT
cana-3335	236	27	,	,	PUNCT
cana-3335	236	28	volume	volume	NOUN
cana-3335	236	29	10	10	NUM
cana-3335	236	30	,	,	PUNCT
cana-3335	236	31	issue	issue	NOUN
cana-3335	236	32	4	4	NUM
cana-3335	236	33	,	,	PUNCT
cana-3335	236	34	issn:2147	issn:2147	NUM
cana-3335	236	35	-	-	PUNCT
cana-3335	236	36	6799	6799	NUM
cana-3335	236	37	,	,	PUNCT
cana-3335	236	38	pp	pp	ADJ
cana-3335	236	39	.	.	PUNCT
cana-3335	237	1	100104	100104	NUM
cana-3335	237	2	,	,	PUNCT
cana-3335	237	3	dec	dec	PROPN
cana-3335	237	4	.	.	PROPN
cana-3335	237	5	2022	2022	NUM
cana-3335	237	6	.	.	PUNCT
cana-3335	238	1	[	[	X
cana-3335	238	2	15	15	NUM
cana-3335	238	3	]	]	X
cana-3335	238	4	sundravadivelu	sundravadivelu	NOUN
cana-3335	238	5	.	.	PUNCT
cana-3335	239	1	k	k	X
cana-3335	239	2	,	,	PUNCT
cana-3335	239	3	m.	m.	NOUN
cana-3335	239	4	thangaraj	thangaraj	PROPN
cana-3335	239	5	,	,	PUNCT
cana-3335	239	6	―a	―a	NOUN
cana-3335	239	7	novel	novel	ADJ
cana-3335	239	8	approach	approach	NOUN
cana-3335	239	9	for	for	ADP
cana-3335	239	10	discovering	discover	VERB
cana-3335	239	11	the	the	DET
cana-3335	239	12	patterns	pattern	NOUN
cana-3335	239	13	by	by	ADP
cana-3335	239	14	using	use	VERB
cana-3335	239	15	pdbd	pdbd	NOUN
cana-3335	239	16	model	model	NOUN
cana-3335	239	17	in	in	ADP
cana-3335	239	18	big	big	PROPN
cana-3335	239	19	data‖	data‖	PROPN
cana-3335	239	20	,	,	PUNCT
cana-3335	239	21	journal	journal	NOUN
cana-3335	239	22	of	of	ADP
cana-3335	239	23	computer	computer	NOUN
cana-3335	239	24	science	science	NOUN
cana-3335	239	25	,	,	PUNCT
cana-3335	239	26	(	(	PUNCT
cana-3335	239	27	science	science	NOUN
cana-3335	239	28	publications	publication	NOUN
cana-3335	239	29	)	)	PUNCT
cana-3335	239	30	,	,	PUNCT
cana-3335	239	31	volume	volume	NOUN
cana-3335	239	32	18	18	NUM
cana-3335	239	33	issues	issue	NOUN
cana-3335	239	34	5	5	NUM
cana-3335	239	35	,	,	PUNCT
cana-3335	239	36	doi	doi	NOUN
cana-3335	239	37	:	:	PUNCT
cana-3335	239	38	10.3844	10.3844	NUM
cana-3335	239	39	/	/	SYM
cana-3335	239	40	jcssp.2022.382.395	jcssp.2022.382.395	PROPN
cana-3335	239	41	,	,	PUNCT
cana-3335	239	42	issn	issn	PROPN
cana-3335	239	43	:	:	PUNCT
cana-3335	239	44	1549	1549	NUM
cana-3335	239	45	-	-	SYM
cana-3335	239	46	3636	3636	NUM
cana-3335	239	47	,	,	PUNCT
cana-3335	239	48	pp.382	pp.382	NOUN
cana-3335	239	49	-	-	SYM
cana-3335	239	50	395	395	NUM
cana-3335	239	51	,	,	PUNCT
cana-3335	239	52	may	may	AUX
cana-3335	239	53	2022	2022	NUM
cana-3335	239	54	.	.	PUNCT
cana-3335	240	1	[	[	X
cana-3335	240	2	16	16	NUM
cana-3335	240	3	]	]	X
cana-3335	240	4	sundravadivelu	sundravadivelu	NOUN
cana-3335	240	5	.	.	PUNCT
cana-3335	241	1	k	k	X
cana-3335	241	2	,	,	PUNCT
cana-3335	241	3	suraj	suraj	PROPN
cana-3335	241	4	rajesh	rajesh	PROPN
cana-3335	241	5	karpe	karpe	PROPN
cana-3335	241	6	,	,	PUNCT
cana-3335	241	7	harish	harish	PROPN
cana-3335	241	8	v	v	NUM
cana-3335	241	9	mekali	mekali	PROPN
cana-3335	241	10	,	,	PUNCT
cana-3335	241	11	shital	shital	PROPN
cana-3335	241	12	nalgirkar	nalgirkar	PROPN
cana-3335	241	13	,	,	PUNCT
cana-3335	241	14	k.	k.	PROPN
cana-3335	241	15	abdul	abdul	PROPN
cana-3335	241	16	rasak	rasak	PROPN
cana-3335	241	17	,	,	PUNCT
cana-3335	241	18	dr	dr	PROPN
cana-3335	241	19	.	.	PROPN
cana-3335	241	20	v	v	PROPN
cana-3335	241	21	s	s	PROPN
cana-3335	241	22	narayana	narayana	PROPN
cana-3335	241	23	tinnalur	tinnalur	PROPN
cana-3335	241	24	,	,	PUNCT
cana-3335	241	25	information	information	NOUN
cana-3335	241	26	theory	theory	NOUN
cana-3335	241	27	and	and	CCONJ
cana-3335	241	28	coding	coding	NOUN
cana-3335	241	29	:	:	PUNCT
cana-3335	241	30	techniques	technique	NOUN
cana-3335	241	31	for	for	ADP
cana-3335	241	32	error	error	NOUN
cana-3335	241	33	control	control	NOUN
cana-3335	241	34	and	and	CCONJ
cana-3335	241	35	data	datum	NOUN
cana-3335	241	36	compression	compression	NOUN
cana-3335	241	37	,	,	PUNCT
cana-3335	241	38	journal	journal	NOUN
cana-3335	241	39	of	of	ADP
cana-3335	241	40	electrical	electrical	ADJ
cana-3335	241	41	systems	system	NOUN
cana-3335	241	42	20	20	NUM
cana-3335	241	43	-	-	SYM
cana-3335	241	44	10s	10	NOUN
cana-3335	241	45	(	(	PUNCT
cana-3335	241	46	2024	2024	NUM
cana-3335	241	47	):	):	PUNCT
cana-3335	241	48	5665	5665	NUM
cana-3335	241	49	-	-	SYM
cana-3335	241	50	5674	5674	NUM
cana-3335	241	51	.	.	PUNCT
cana-3335	242	1	[	[	X
cana-3335	242	2	17	17	NUM
cana-3335	242	3	]	]	X
cana-3335	242	4	sundravadivelu	sundravadivelu	NOUN
cana-3335	242	5	.	.	PUNCT
cana-3335	243	1	k	k	X
cana-3335	243	2	,	,	PUNCT
cana-3335	243	3	thangaraj	thangaraj	NOUN
cana-3335	243	4	.	.	PUNCT
cana-3335	244	1	m,“mining	m,“mine	VERB
cana-3335	244	2	effective	effective	ADJ
cana-3335	244	3	patterns	pattern	NOUN
cana-3335	244	4	from	from	ADP
cana-3335	244	5	text	text	NOUN
cana-3335	244	6	data	datum	NOUN
cana-3335	244	7	a	a	DET
cana-3335	244	8	survey	survey	NOUN
cana-3335	244	9	”	"	PUNCT
cana-3335	244	10	,	,	PUNCT
cana-3335	244	11	international	international	ADJ
cana-3335	244	12	journal	journal	NOUN
cana-3335	244	13	of	of	ADP
cana-3335	244	14	scientific	scientific	ADJ
cana-3335	244	15	and	and	CCONJ
cana-3335	244	16	technology	technology	NOUN
cana-3335	244	17	research	research	NOUN
cana-3335	244	18	,	,	PUNCT
cana-3335	244	19	volume	volume	NOUN
cana-3335	244	20	9	9	NUM
cana-3335	244	21	,	,	PUNCT
cana-3335	244	22	issue	issue	NOUN
cana-3335	244	23	1	1	NUM
cana-3335	244	24	,	,	PUNCT
cana-3335	244	25	pages	page	NOUN
cana-3335	244	26	1930	1930	NUM
cana-3335	244	27	–	–	PUNCT
cana-3335	244	28	1934	1934	NUM
cana-3335	244	29	,	,	PUNCT
cana-3335	244	30	january	january	PROPN
cana-3335	244	31	2020	2020	NUM
cana-3335	244	32	.	.	PUNCT
cana-3335	245	1	[	[	X
cana-3335	245	2	18	18	NUM
cana-3335	245	3	]	]	X
cana-3335	245	4	sung	sung	PROPN
cana-3335	245	5	,	,	PUNCT
cana-3335	245	6	s.	s.	PROPN
cana-3335	245	7	f.	f.	PROPN
cana-3335	245	8	,	,	PUNCT
cana-3335	245	9	lin	lin	PROPN
cana-3335	245	10	,	,	PUNCT
cana-3335	245	11	c.	c.	PROPN
cana-3335	245	12	y.	y.	PROPN
cana-3335	245	13	,	,	PUNCT
cana-3335	245	14	&	&	CCONJ
cana-3335	245	15	hu	hu	PROPN
cana-3335	245	16	,	,	PUNCT
cana-3335	245	17	y.	y.	PROPN
cana-3335	245	18	h.	h.	PROPN
cana-3335	245	19	(	(	PUNCT
cana-3335	245	20	2020	2020	NUM
cana-3335	245	21	)	)	PUNCT
cana-3335	245	22	.	.	PUNCT
cana-3335	246	1	emr	emr	PROPN
cana-3335	246	2	-	-	PUNCT
cana-3335	246	3	based	base	VERB
cana-3335	246	4	phenotyping	phenotyping	NOUN
cana-3335	246	5	of	of	ADP
cana-3335	246	6	ischemic	ischemic	ADJ
cana-3335	246	7	stroke	stroke	NOUN
cana-3335	246	8	using	use	VERB
cana-3335	246	9	supervised	supervised	ADJ
cana-3335	246	10	machine	machine	NOUN
cana-3335	246	11	learning	learning	NOUN
cana-3335	246	12	and	and	CCONJ
cana-3335	246	13	text	text	NOUN
cana-3335	246	14	mining	mining	NOUN
cana-3335	246	15	techniques	technique	NOUN
cana-3335	246	16	.	.	PUNCT
cana-3335	247	1	ieee	ieee	PROPN
cana-3335	247	2	journal	journal	PROPN
cana-3335	247	3	of	of	ADP
cana-3335	247	4	biomedical	biomedical	ADJ
cana-3335	247	5	and	and	CCONJ
cana-3335	247	6	health	health	NOUN
cana-3335	247	7	informatics	informatic	NOUN
cana-3335	247	8	,	,	PUNCT
cana-3335	247	9	24(10	24(10	NUM
cana-3335	247	10	)	)	PUNCT
cana-3335	247	11	,	,	PUNCT
cana-3335	247	12	2922	2922	NUM
cana-3335	247	13	-	-	SYM
cana-3335	247	14	2931	2931	NUM
cana-3335	247	15	.	.	PUNCT
cana-3335	248	1	[	[	X
cana-3335	248	2	19	19	NUM
cana-3335	248	3	]	]	SYM
cana-3335	248	4	thangaraj.m	thangaraj.m	NUM
cana-3335	248	5	.	.	PUNCT
cana-3335	249	1	,&sundaravadivelu.k	,&sundaravadivelu.k	PUNCT
cana-3335	250	1	,	,	PUNCT
cana-3335	250	2	“	"	PUNCT
cana-3335	250	3	mining	mine	VERB
cana-3335	250	4	effective	effective	ADJ
cana-3335	250	5	patterns	pattern	NOUN
cana-3335	250	6	from	from	ADP
cana-3335	250	7	text	text	NOUN
cana-3335	250	8	data	datum	NOUN
cana-3335	250	9	-	-	PUNCT
cana-3335	250	10	a	a	DET
cana-3335	250	11	survey	survey	NOUN
cana-3335	250	12	”	"	PUNCT
cana-3335	250	13	,	,	PUNCT
cana-3335	250	14	international	international	ADJ
cana-3335	250	15	journal	journal	NOUN
cana-3335	250	16	of	of	ADP
cana-3335	250	17	scientific	scientific	PROPN
cana-3335	250	18	&	&	CCONJ
cana-3335	250	19	technology	technology	PROPN
cana-3335	250	20	research	research	NOUN
cana-3335	250	21	,	,	PUNCT
cana-3335	250	22	issn-10	issn-10	PROPN
cana-3335	250	23	:	:	PUNCT
cana-3335	250	24	2277	2277	NUM
cana-3335	250	25	-	-	SYM
cana-3335	250	26	86161930	86161930	NUM
cana-3335	250	27	ijstr	ijstr	NOUN
cana-3335	250	28	,	,	PUNCT
cana-3335	250	29	2020	2020	NUM
cana-3335	250	30	.	.	PUNCT
cana-3335	251	1	https://www.scopus.com/authid/detail.uri?authorid=57207472425	https://www.scopus.com/authid/detail.uri?authorid=57207472425	PROPN
cana-3335	251	2	https://www.scopus.com/authid/detail.uri?authorid=58637291500	https://www.scopus.com/authid/detail.uri?authorid=58637291500	PROPN
cana-3335	251	3	https://www.scopus.com/authid/detail.uri?authorid=57867922700	https://www.scopus.com/authid/detail.uri?authorid=57867922700	PROPN
cana-3335	251	4	https://www.scopus.com/authid/detail.uri?authorid=58565594400	https://www.scopus.com/authid/detail.uri?authorid=58565594400	PROPN
cana-3335	251	5	https://www.scopus.com/authid/detail.uri?authorid=58637567600	https://www.scopus.com/authid/detail.uri?authorid=58637567600	PROPN
cana-3335	251	6	https://www.scopus.com/authid/detail.uri?authorid=57207472425	https://www.scopus.com/authid/detail.uri?authorid=57207472425	PROPN
cana-3335	251	7	https://www.scopus.com/authid/detail.uri?authorid=58637291500	https://www.scopus.com/authid/detail.uri?authorid=58637291500	PROPN
cana-3335	251	8	https://www.scopus.com/authid/detail.uri?authorid=57220038728	https://www.scopus.com/authid/detail.uri?authorid=57220038728	NOUN
cana-3335	251	9	https://www.scopus.com/authid/detail.uri?authorid=58565058700	https://www.scopus.com/authid/detail.uri?authorid=58565058700	NOUN
cana-3335	251	10	https://www.scopus.com/authid/detail.uri?authorid=57217398152	https://www.scopus.com/authid/detail.uri?authorid=57217398152	VERB
cana-3335	251	11	https://www.scopus.com/record/display.uri?eid=2-s2.0-85189161916&origin=resultslist	https://www.scopus.com/record/display.uri?eid=2-s2.0-85189161916&origin=resultslist	NOUN
cana-3335	251	12	https://www.scopus.com/record/display.uri?eid=2-s2.0-85189161916&origin=resultslist	https://www.scopus.com/record/display.uri?eid=2-s2.0-85189161916&origin=resultslist	NOUN
cana-3335	251	13	https://www.scopus.com/record/display.uri?eid=2-s2.0-85189161916&origin=resultslist	https://www.scopus.com/record/display.uri?eid=2-s2.0-85189161916&origin=resultslist	NOUN
cana-3335	251	14	https://doi.org/10.53730/ijhs.v6ns7.13104	https://doi.org/10.53730/ijhs.v6ns7.13104	PROPN
cana-3335	251	15	communications	communication	NOUN
cana-3335	251	16	on	on	ADP
cana-3335	251	17	applied	apply	VERB
cana-3335	251	18	nonlinear	nonlinear	ADJ
cana-3335	251	19	analysis	analysis	NOUN
cana-3335	251	20	issn	issn	NOUN
cana-3335	251	21	:	:	PUNCT
cana-3335	251	22	1074	1074	NUM
cana-3335	251	23	-	-	PUNCT
cana-3335	251	24	133x	133x	NUM
cana-3335	251	25	vol	vol	NOUN
cana-3335	251	26	32	32	NUM
cana-3335	251	27	no	no	NOUN
cana-3335	251	28	.	.	PUNCT
cana-3335	252	1	7s	7	NOUN
cana-3335	252	2	(	(	PUNCT
cana-3335	252	3	2025	2025	NUM
cana-3335	252	4	)	)	PUNCT
cana-3335	252	5	24	24	NUM
cana-3335	252	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3335	253	1	[	[	X
cana-3335	253	2	20	20	NUM
cana-3335	253	3	]	]	X
cana-3335	253	4	wang	wang	PROPN
cana-3335	253	5	,	,	PUNCT
cana-3335	253	6	l.	l.	PROPN
cana-3335	253	7	l.	l.	PROPN
cana-3335	253	8	,	,	PUNCT
cana-3335	253	9	&	&	CCONJ
cana-3335	253	10	lo	lo	PROPN
cana-3335	253	11	,	,	PUNCT
cana-3335	253	12	k.	k.	PROPN
cana-3335	253	13	(	(	PUNCT
cana-3335	253	14	2021	2021	NUM
cana-3335	253	15	)	)	PUNCT
cana-3335	253	16	.	.	PUNCT
cana-3335	254	1	text	text	NOUN
cana-3335	254	2	mining	mining	NOUN
cana-3335	254	3	approaches	approach	NOUN
cana-3335	254	4	for	for	ADP
cana-3335	254	5	dealing	deal	VERB
cana-3335	254	6	with	with	ADP
cana-3335	254	7	the	the	DET
cana-3335	254	8	rapidly	rapidly	ADV
cana-3335	254	9	expanding	expand	VERB
cana-3335	254	10	literature	literature	NOUN
cana-3335	254	11	on	on	ADP
cana-3335	254	12	covid19	covid19	NOUN
cana-3335	254	13	.	.	PUNCT
cana-3335	255	1	briefings	briefing	NOUN
cana-3335	255	2	in	in	ADP
cana-3335	255	3	bioinformatics	bioinformatics	NOUN
cana-3335	255	4	,	,	PUNCT
cana-3335	255	5	22(2	22(2	NUM
cana-3335	255	6	)	)	PUNCT
cana-3335	255	7	,	,	PUNCT
cana-3335	255	8	781	781	NUM
cana-3335	255	9	-	-	SYM
cana-3335	255	10	799.[1	799.[1	NUM
cana-3335	255	11	]	]	PUNCT
cana-3335	256	1	[	[	X
cana-3335	256	2	21	21	NUM
cana-3335	256	3	]	]	X
cana-3335	256	4	xing	xing	PROPN
cana-3335	256	5	,	,	PUNCT
cana-3335	256	6	w.	w.	PROPN
cana-3335	256	7	,	,	PUNCT
cana-3335	256	8	lee	lee	PROPN
cana-3335	256	9	,	,	PUNCT
cana-3335	256	10	h.	h.	PROPN
cana-3335	256	11	s.	s.	PROPN
cana-3335	256	12	,	,	PUNCT
cana-3335	256	13	&	&	CCONJ
cana-3335	256	14	shibani	shibani	PROPN
cana-3335	256	15	,	,	PUNCT
cana-3335	256	16	a.	a.	NOUN
cana-3335	256	17	(	(	PUNCT
cana-3335	256	18	2020	2020	NUM
cana-3335	256	19	)	)	PUNCT
cana-3335	256	20	.	.	PUNCT
cana-3335	257	1	identifying	identify	VERB
cana-3335	257	2	patterns	pattern	NOUN
cana-3335	257	3	in	in	ADP
cana-3335	257	4	students	student	NOUN
cana-3335	257	5	’	'	PUNCT
cana-3335	257	6	scientific	scientific	ADJ
cana-3335	257	7	argumentation	argumentation	NOUN
cana-3335	257	8	:	:	PUNCT
cana-3335	257	9	content	content	VERB
cana-3335	257	10	analysis	analysis	NOUN
cana-3335	257	11	through	through	ADP
cana-3335	257	12	text	text	NOUN
cana-3335	257	13	mining	mining	NOUN
cana-3335	257	14	using	use	VERB
cana-3335	257	15	latent	latent	ADJ
cana-3335	257	16	dirichlet	dirichlet	PROPN
cana-3335	257	17	allocation	allocation	NOUN
cana-3335	257	18	.	.	PUNCT
cana-3335	258	1	educational	educational	ADJ
cana-3335	258	2	technology	technology	NOUN
cana-3335	258	3	research	research	NOUN
cana-3335	258	4	and	and	CCONJ
cana-3335	258	5	development	development	NOUN
cana-3335	258	6	,	,	PUNCT
cana-3335	258	7	68(5	68(5	NUM
cana-3335	258	8	)	)	PUNCT
cana-3335	258	9	,	,	PUNCT
cana-3335	258	10	2185	2185	NUM
cana-3335	258	11	-	-	SYM
cana-3335	258	12	2214	2214	NUM
cana-3335	258	13	.	.	PUNCT
cana-3335	259	1	[	[	X
cana-3335	259	2	22	22	NUM
cana-3335	259	3	]	]	X
cana-3335	259	4	yiran	yiran	NOUN
cana-3335	259	5	,	,	PUNCT
cana-3335	259	6	y.	y.	PROPN
cana-3335	259	7	,	,	PUNCT
cana-3335	259	8	&	&	CCONJ
cana-3335	259	9	srivastava	srivastava	PROPN
cana-3335	259	10	,	,	PUNCT
cana-3335	259	11	s.	s.	PROPN
cana-3335	259	12	(	(	PUNCT
cana-3335	259	13	2019	2019	NUM
cana-3335	259	14	,	,	PUNCT
cana-3335	259	15	june	june	PROPN
cana-3335	259	16	)	)	PUNCT
cana-3335	259	17	.	.	PUNCT
cana-3335	260	1	aspect	aspect	NOUN
cana-3335	260	2	-	-	PUNCT
cana-3335	260	3	based	base	VERB
cana-3335	260	4	sentiment	sentiment	NOUN
cana-3335	260	5	analysis	analysis	NOUN
cana-3335	260	6	on	on	ADP
cana-3335	260	7	mobile	mobile	ADJ
cana-3335	260	8	phone	phone	NOUN
cana-3335	260	9	reviews	review	NOUN
cana-3335	260	10	with	with	ADP
cana-3335	260	11	lda	lda	PROPN
cana-3335	260	12	.	.	PUNCT
cana-3335	261	1	in	in	ADP
cana-3335	261	2	proceedings	proceeding	NOUN
cana-3335	261	3	of	of	ADP
cana-3335	261	4	the	the	DET
cana-3335	261	5	2019	2019	NUM
cana-3335	261	6	4th	4th	ADJ
cana-3335	261	7	international	international	ADJ
cana-3335	261	8	conference	conference	NOUN
cana-3335	261	9	on	on	ADP
cana-3335	261	10	machine	machine	NOUN
cana-3335	261	11	learning	learning	NOUN
cana-3335	261	12	technologies	technology	NOUN
cana-3335	261	13	(	(	PUNCT
cana-3335	261	14	pp	pp	ADJ
cana-3335	261	15	.	.	PUNCT
cana-3335	262	1	101	101	NUM
cana-3335	262	2	-	-	SYM
cana-3335	262	3	105	105	NUM
cana-3335	262	4	)	)	PUNCT
cana-3335	262	5	.	.	PUNCT
cana-3335	263	1	[	[	X
cana-3335	263	2	23	23	NUM
cana-3335	263	3	]	]	X
cana-3335	263	4	yuan	yuan	PROPN
cana-3335	263	5	,	,	PUNCT
cana-3335	263	6	l.	l.	PROPN
cana-3335	263	7	,	,	PUNCT
cana-3335	263	8	bin	bin	PROPN
cana-3335	263	9	,	,	PUNCT
cana-3335	263	10	j.	j.	PROPN
cana-3335	263	11	,	,	PUNCT
cana-3335	263	12	wei	wei	PROPN
cana-3335	263	13	,	,	PUNCT
cana-3335	263	14	y.	y.	PROPN
cana-3335	263	15	,	,	PUNCT
cana-3335	263	16	huang	huang	PROPN
cana-3335	263	17	,	,	PUNCT
cana-3335	263	18	f.	f.	PROPN
cana-3335	263	19	,	,	PUNCT
cana-3335	263	20	hu	hu	PROPN
cana-3335	263	21	,	,	PUNCT
cana-3335	263	22	x.	x.	NOUN
cana-3335	263	23	,	,	PUNCT
cana-3335	263	24	&	&	CCONJ
cana-3335	263	25	tan	tan	PROPN
cana-3335	263	26	,	,	PUNCT
cana-3335	263	27	m.	m.	NOUN
cana-3335	263	28	(	(	PUNCT
cana-3335	263	29	2020	2020	NUM
cana-3335	263	30	)	)	PUNCT
cana-3335	263	31	“	"	PUNCT
cana-3335	263	32	big	big	ADJ
cana-3335	263	33	data	datum	NOUN
cana-3335	263	34	aspect	aspect	NOUN
cana-3335	263	35	-	-	PUNCT
cana-3335	263	36	based	base	VERB
cana-3335	263	37	opinion	opinion	NOUN
cana-3335	263	38	mining	mining	NOUN
cana-3335	263	39	using	use	VERB
cana-3335	263	40	the	the	DET
cana-3335	263	41	slda	slda	ADJ
cana-3335	263	42	and	and	CCONJ
cana-3335	263	43	hme	hme	PROPN
cana-3335	263	44	-	-	PUNCT
cana-3335	263	45	lda	lda	PROPN
cana-3335	263	46	models	model	NOUN
cana-3335	263	47	.	.	PUNCT
cana-3335	264	1	wireless	wireless	ADJ
cana-3335	264	2	communications	communication	NOUN
cana-3335	264	3	and	and	CCONJ
cana-3335	264	4	mobile	mobile	NOUN
cana-3335	264	5	computing	computing	NOUN
cana-3335	264	6	”	"	PUNCT
cana-3335	264	7	,	,	PUNCT
cana-3335	264	8	2020	2020	NUM
cana-3335	264	9	.	.	PUNCT
cana-3335	265	1	[	[	X
cana-3335	265	2	24	24	NUM
cana-3335	265	3	]	]	X
cana-3335	265	4	zulkefli	zulkefli	NOUN
cana-3335	265	5	,	,	PUNCT
cana-3335	265	6	n.	n.	PROPN
cana-3335	265	7	s.	s.	PROPN
cana-3335	265	8	s.	s.	PROPN
cana-3335	265	9	b.	b.	PROPN
cana-3335	265	10	,	,	PUNCT
cana-3335	265	11	rahman	rahman	PROPN
cana-3335	265	12	,	,	PUNCT
cana-3335	265	13	n.	n.	PROPN
cana-3335	265	14	b.	b.	PROPN
cana-3335	265	15	a.	a.	PROPN
cana-3335	265	16	,	,	PUNCT
cana-3335	265	17	puteh	puteh	PROPN
cana-3335	265	18	,	,	PUNCT
cana-3335	265	19	m.	m.	PROPN
cana-3335	265	20	b.	b.	PROPN
cana-3335	265	21	,	,	PUNCT
cana-3335	265	22	&	&	CCONJ
cana-3335	265	23	bakar	bakar	PROPN
cana-3335	265	24	,	,	PUNCT
cana-3335	265	25	z.	z.	PROPN
cana-3335	265	26	b.	b.	PROPN
cana-3335	265	27	a.	a.	PROPN
cana-3335	265	28	(	(	PUNCT
cana-3335	265	29	2018	2018	NUM
cana-3335	265	30	,	,	PUNCT
cana-3335	265	31	march	march	PROPN
cana-3335	265	32	)	)	PUNCT
cana-3335	265	33	.	.	PUNCT
cana-3335	266	1	“	"	PUNCT
cana-3335	266	2	effectiveness	effectiveness	NOUN
cana-3335	266	3	of	of	ADP
cana-3335	266	4	latent	latent	ADJ
cana-3335	266	5	dirichlet	dirichlet	PROPN
cana-3335	266	6	allocation	allocation	NOUN
cana-3335	266	7	model	model	NOUN
cana-3335	266	8	for	for	ADP
cana-3335	266	9	semantic	semantic	ADJ
cana-3335	266	10	information	information	NOUN
cana-3335	266	11	retrieval	retrieval	NOUN
cana-3335	266	12	on	on	ADP
cana-3335	266	13	malay	malay	PROPN
cana-3335	266	14	document	document	NOUN
cana-3335	266	15	”	"	PUNCT
cana-3335	266	16	,	,	PUNCT
cana-3335	266	17	in	in	ADP
cana-3335	266	18	2018	2018	NUM
cana-3335	266	19	fourth	fourth	ADJ
cana-3335	266	20	international	international	ADJ
cana-3335	266	21	conference	conference	NOUN
cana-3335	266	22	on	on	ADP
cana-3335	266	23	information	information	NOUN
cana-3335	266	24	retrieval	retrieval	NOUN
cana-3335	266	25	and	and	CCONJ
cana-3335	266	26	knowledge	knowledge	NOUN
cana-3335	266	27	management	management	NOUN
cana-3335	266	28	(	(	PUNCT
cana-3335	266	29	camp	camp	NOUN
cana-3335	266	30	)	)	PUNCT
cana-3335	266	31	(	(	PUNCT
cana-3335	266	32	pp	pp	X
cana-3335	266	33	.	.	PUNCT
cana-3335	267	1	1	1	NUM
cana-3335	267	2	-	-	SYM
cana-3335	267	3	5	5	NUM
cana-3335	267	4	)	)	PUNCT
cana-3335	267	5	,	,	PUNCT
cana-3335	267	6	ieee	ieee	NOUN
cana-3335	267	7	.	.	PUNCT