id	sid	tid	token	lemma	pos
cana-5215	1	1	communications	communication	NOUN
cana-5215	1	2	on	on	ADP
cana-5215	1	3	applied	apply	VERB
cana-5215	1	4	nonlinear	nonlinear	ADJ
cana-5215	1	5	analysis	analysis	NOUN
cana-5215	1	6	issn	issn	NOUN
cana-5215	1	7	:	:	PUNCT
cana-5215	1	8	1074	1074	NUM
cana-5215	1	9	-	-	PUNCT
cana-5215	1	10	133x	133x	NUM
cana-5215	1	11	vol	vol	VERB
cana-5215	1	12	32	32	NUM
cana-5215	1	13	no	no	NOUN
cana-5215	1	14	.	.	PUNCT
cana-5215	2	1	10s	10	NOUN
cana-5215	2	2	(	(	PUNCT
cana-5215	2	3	2025	2025	NUM
cana-5215	2	4	)	)	PUNCT
cana-5215	2	5	1164	1164	NUM
cana-5215	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5215	2	7	churn	churn	NOUN
cana-5215	2	8	predictions	prediction	NOUN
cana-5215	2	9	using	use	VERB
cana-5215	2	10	nlp	nlp	NOUN
cana-5215	2	11	and	and	CCONJ
cana-5215	2	12	ml	ml	ADP
cana-5215	2	13	prof	prof	PROPN
cana-5215	2	14	.	.	PUNCT
cana-5215	3	1	dr	dr	PROPN
cana-5215	3	2	.	.	PROPN
cana-5215	3	3	monika	monika	PROPN
cana-5215	3	4	rokade2	rokade2	PROPN
cana-5215	3	5	,	,	PUNCT
cana-5215	3	6	abhijit	abhijit	PROPN
cana-5215	3	7	shingarwade1	shingarwade1	PROPN
cana-5215	3	8	,	,	PUNCT
cana-5215	3	9	prof	prof	PROPN
cana-5215	3	10	.	.	PUNCT
cana-5215	4	1	dr	dr	PROPN
cana-5215	4	2	.	.	PROPN
cana-5215	4	3	sunil	sunil	PROPN
cana-5215	4	4	khatal3	khatal3	PROPN
cana-5215	5	1	1department	1department	NUM
cana-5215	5	2	of	of	ADP
cana-5215	5	3	computer	computer	NOUN
cana-5215	5	4	engineering	engineering	NOUN
cana-5215	5	5	,	,	PUNCT
cana-5215	5	6	sharadchandra	sharadchandra	PROPN
cana-5215	5	7	pawar	pawar	PROPN
cana-5215	5	8	college	college	PROPN
cana-5215	5	9	of	of	ADP
cana-5215	5	10	engineering	engineering	PROPN
cana-5215	5	11	,	,	PUNCT
cana-5215	5	12	dumbarwadi	dumbarwadi	NOUN
cana-5215	5	13	,	,	PUNCT
cana-5215	5	14	otur	otur	NOUN
cana-5215	5	15	,	,	PUNCT
cana-5215	5	16	pune	pune	NOUN
cana-5215	5	17	,	,	PUNCT
cana-5215	5	18	india	india	PROPN
cana-5215	5	19	monikarokade4@gmail.com	monikarokade4@gmail.com	X
cana-5215	6	1	2department	2department	NUM
cana-5215	6	2	of	of	ADP
cana-5215	6	3	computer	computer	NOUN
cana-5215	6	4	engineering	engineering	NOUN
cana-5215	6	5	,	,	PUNCT
cana-5215	6	6	sharadchandra	sharadchandra	PROPN
cana-5215	6	7	pawar	pawar	PROPN
cana-5215	6	8	college	college	PROPN
cana-5215	6	9	of	of	ADP
cana-5215	6	10	engineering	engineering	PROPN
cana-5215	6	11	,	,	PUNCT
cana-5215	6	12	dumbarwadi	dumbarwadi	NOUN
cana-5215	6	13	,	,	PUNCT
cana-5215	6	14	otur	otur	NOUN
cana-5215	6	15	,	,	PUNCT
cana-5215	6	16	pune	pune	NOUN
cana-5215	6	17	,	,	PUNCT
cana-5215	6	18	india	india	PROPN
cana-5215	6	19	abhijit.shingarwade@gmail.com	abhijit.shingarwade@gmail.com	PROPN
cana-5215	6	20	3hod	3hod	PROPN
cana-5215	6	21	,	,	PUNCT
cana-5215	6	22	department	department	NOUN
cana-5215	6	23	of	of	ADP
cana-5215	6	24	computer	computer	NOUN
cana-5215	6	25	engineering	engineering	NOUN
cana-5215	6	26	,	,	PUNCT
cana-5215	6	27	sharadchandra	sharadchandra	PROPN
cana-5215	6	28	pawar	pawar	PROPN
cana-5215	6	29	college	college	PROPN
cana-5215	6	30	of	of	ADP
cana-5215	6	31	engineering	engineering	PROPN
cana-5215	6	32	,	,	PUNCT
cana-5215	6	33	dumbarwadi	dumbarwadi	NOUN
cana-5215	6	34	,	,	PUNCT
cana-5215	6	35	otur	otur	NOUN
cana-5215	6	36	,	,	PUNCT
cana-5215	6	37	pune	pune	NOUN
cana-5215	6	38	,	,	PUNCT
cana-5215	6	39	india	india	PROPN
cana-5215	6	40	khatalsunils88@gmail.com	khatalsunils88@gmail.com	PROPN
cana-5215	6	41	article	article	NOUN
cana-5215	6	42	history	history	NOUN
cana-5215	6	43	:	:	PUNCT
cana-5215	6	44	received	receive	VERB
cana-5215	6	45	:	:	PUNCT
cana-5215	6	46	12	12	NUM
cana-5215	6	47	-	-	SYM
cana-5215	6	48	01	01	NUM
cana-5215	6	49	-	-	PUNCT
cana-5215	6	50	2025	2025	NUM
cana-5215	6	51	revised	revise	VERB
cana-5215	6	52	:	:	PUNCT
cana-5215	6	53	15	15	NUM
cana-5215	6	54	-	-	NUM
cana-5215	6	55	02	02	NUM
cana-5215	6	56	-	-	PUNCT
cana-5215	6	57	2025	2025	NUM
cana-5215	6	58	accepted	accept	VERB
cana-5215	6	59	:	:	PUNCT
cana-5215	6	60	01	01	NUM
cana-5215	6	61	-	-	SYM
cana-5215	6	62	03	03	NUM
cana-5215	6	63	-	-	PUNCT
cana-5215	6	64	2025	2025	NUM
cana-5215	6	65	abstract	abstract	NOUN
cana-5215	6	66	:	:	PUNCT
cana-5215	6	67	the	the	DET
cana-5215	6	68	churn	churn	NOUN
cana-5215	6	69	prediction	prediction	NOUN
cana-5215	6	70	system	system	NOUN
cana-5215	6	71	identifies	identify	VERB
cana-5215	6	72	customers	customer	NOUN
cana-5215	6	73	at	at	ADP
cana-5215	6	74	risk	risk	NOUN
cana-5215	6	75	of	of	ADP
cana-5215	6	76	attrition	attrition	NOUN
cana-5215	6	77	and	and	CCONJ
cana-5215	6	78	analyzes	analyze	VERB
cana-5215	6	79	the	the	DET
cana-5215	6	80	factors	factor	NOUN
cana-5215	6	81	contributing	contribute	VERB
cana-5215	6	82	to	to	ADP
cana-5215	6	83	telecom	telecom	NOUN
cana-5215	6	84	customer	customer	NOUN
cana-5215	6	85	turnover	turnover	NOUN
cana-5215	6	86	by	by	ADP
cana-5215	6	87	leveraging	leverage	VERB
cana-5215	6	88	classification	classification	NOUN
cana-5215	6	89	and	and	CCONJ
cana-5215	6	90	clustering	clustering	ADJ
cana-5215	6	91	algorithms	algorithm	NOUN
cana-5215	6	92	.	.	PUNCT
cana-5215	7	1	the	the	DET
cana-5215	7	2	telecom	telecom	NOUN
cana-5215	7	3	industry	industry	NOUN
cana-5215	7	4	typically	typically	ADV
cana-5215	7	5	gathers	gather	VERB
cana-5215	7	6	vast	vast	ADJ
cana-5215	7	7	amounts	amount	NOUN
cana-5215	7	8	of	of	ADP
cana-5215	7	9	data	datum	NOUN
cana-5215	7	10	,	,	PUNCT
cana-5215	7	11	which	which	PRON
cana-5215	7	12	can	can	AUX
cana-5215	7	13	make	make	VERB
cana-5215	7	14	the	the	DET
cana-5215	7	15	application	application	NOUN
cana-5215	7	16	of	of	ADP
cana-5215	7	17	certain	certain	ADJ
cana-5215	7	18	data	datum	NOUN
cana-5215	7	19	mining	mining	NOUN
cana-5215	7	20	techniques	technique	NOUN
cana-5215	7	21	cumbersome	cumbersome	ADJ
cana-5215	7	22	and	and	CCONJ
cana-5215	7	23	interpreting	interpret	VERB
cana-5215	7	24	predictions	prediction	NOUN
cana-5215	7	25	with	with	ADP
cana-5215	7	26	standard	standard	ADJ
cana-5215	7	27	methods	method	NOUN
cana-5215	7	28	challenging	challenge	VERB
cana-5215	7	29	.	.	PUNCT
cana-5215	8	1	numerous	numerous	ADJ
cana-5215	8	2	studies	study	NOUN
cana-5215	8	3	have	have	AUX
cana-5215	8	4	focused	focus	VERB
cana-5215	8	5	on	on	ADP
cana-5215	8	6	minimizing	minimize	VERB
cana-5215	8	7	churn	churn	NOUN
cana-5215	8	8	in	in	ADP
cana-5215	8	9	large	large	ADJ
cana-5215	8	10	datasets	dataset	NOUN
cana-5215	8	11	.	.	PUNCT
cana-5215	9	1	however	however	ADV
cana-5215	9	2	,	,	PUNCT
cana-5215	9	3	these	these	DET
cana-5215	9	4	systems	system	NOUN
cana-5215	9	5	continue	continue	VERB
cana-5215	9	6	to	to	PART
cana-5215	9	7	face	face	VERB
cana-5215	9	8	significant	significant	ADJ
cana-5215	9	9	challenges	challenge	NOUN
cana-5215	9	10	in	in	ADP
cana-5215	9	11	effectively	effectively	ADV
cana-5215	9	12	detecting	detect	VERB
cana-5215	9	13	churn	churn	NOUN
cana-5215	9	14	.	.	PUNCT
cana-5215	10	1	in	in	ADP
cana-5215	10	2	some	some	DET
cana-5215	10	3	cases	case	NOUN
cana-5215	10	4	,	,	PUNCT
cana-5215	10	5	telecommunications	telecommunication	NOUN
cana-5215	10	6	data	datum	NOUN
cana-5215	10	7	might	might	AUX
cana-5215	10	8	already	already	ADV
cana-5215	10	9	contain	contain	VERB
cana-5215	10	10	churn	churn	NOUN
cana-5215	10	11	signals	signal	NOUN
cana-5215	10	12	,	,	PUNCT
cana-5215	10	13	underscoring	underscore	VERB
cana-5215	10	14	the	the	DET
cana-5215	10	15	need	need	NOUN
cana-5215	10	16	for	for	ADP
cana-5215	10	17	precise	precise	ADJ
cana-5215	10	18	search	search	NOUN
cana-5215	10	19	and	and	CCONJ
cana-5215	10	20	detection	detection	NOUN
cana-5215	10	21	methods	method	NOUN
cana-5215	10	22	.	.	PUNCT
cana-5215	11	1	efficient	efficient	ADJ
cana-5215	11	2	customer	customer	NOUN
cana-5215	11	3	relationship	relationship	NOUN
cana-5215	11	4	management	management	NOUN
cana-5215	11	5	is	be	AUX
cana-5215	11	6	critical	critical	ADJ
cana-5215	11	7	for	for	ADP
cana-5215	11	8	accurately	accurately	ADV
cana-5215	11	9	identifying	identify	VERB
cana-5215	11	10	turnover	turnover	NOUN
cana-5215	11	11	within	within	ADP
cana-5215	11	12	extensive	extensive	ADJ
cana-5215	11	13	datasets	dataset	NOUN
cana-5215	11	14	.	.	PUNCT
cana-5215	12	1	in	in	ADP
cana-5215	12	2	this	this	DET
cana-5215	12	3	study	study	NOUN
cana-5215	12	4	,	,	PUNCT
cana-5215	12	5	we	we	PRON
cana-5215	12	6	demonstrated	demonstrate	VERB
cana-5215	12	7	churn	churn	NOUN
cana-5215	12	8	detection	detection	NOUN
cana-5215	12	9	and	and	CCONJ
cana-5215	12	10	prediction	prediction	NOUN
cana-5215	12	11	by	by	ADP
cana-5215	12	12	utilizing	utilize	VERB
cana-5215	12	13	comprehensive	comprehensive	ADJ
cana-5215	12	14	telecom	telecom	NOUN
cana-5215	12	15	datasets	dataset	NOUN
cana-5215	12	16	with	with	ADP
cana-5215	12	17	natural	natural	ADJ
cana-5215	12	18	language	language	NOUN
cana-5215	12	19	processing	processing	NOUN
cana-5215	12	20	(	(	PUNCT
cana-5215	12	21	nlp	nlp	NOUN
cana-5215	12	22	)	)	PUNCT
cana-5215	12	23	using	use	VERB
cana-5215	12	24	machine	machine	NOUN
cana-5215	12	25	learning	learning	NOUN
cana-5215	12	26	methods	method	NOUN
cana-5215	12	27	.	.	PUNCT
cana-5215	13	1	the	the	DET
cana-5215	13	2	main	main	ADJ
cana-5215	13	3	system	system	NOUN
cana-5215	13	4	emphasizes	emphasize	VERB
cana-5215	13	5	a	a	DET
cana-5215	13	6	planned	plan	VERB
cana-5215	13	7	nlp	nlp	NOUN
cana-5215	13	8	approach	approach	NOUN
cana-5215	13	9	,	,	PUNCT
cana-5215	13	10	incorporating	incorporate	VERB
cana-5215	13	11	feature	feature	NOUN
cana-5215	13	12	extraction	extraction	NOUN
cana-5215	13	13	,	,	PUNCT
cana-5215	13	14	feature	feature	NOUN
cana-5215	13	15	selection	selection	NOUN
cana-5215	13	16	,	,	PUNCT
cana-5215	13	17	data	datum	NOUN
cana-5215	13	18	normalization	normalization	NOUN
cana-5215	13	19	,	,	PUNCT
cana-5215	13	20	and	and	CCONJ
cana-5215	13	21	data	datum	NOUN
cana-5215	13	22	preparation	preparation	NOUN
cana-5215	13	23	.	.	PUNCT
cana-5215	14	1	we	we	PRON
cana-5215	14	2	implemented	implement	VERB
cana-5215	14	3	feature	feature	NOUN
cana-5215	14	4	extraction	extraction	NOUN
cana-5215	14	5	approaches	approach	NOUN
cana-5215	14	6	using	use	VERB
cana-5215	14	7	nlp	nlp	ADJ
cana-5215	14	8	methodologies	methodology	NOUN
cana-5215	14	9	.	.	PUNCT
cana-5215	15	1	we	we	PRON
cana-5215	15	2	trained	train	VERB
cana-5215	15	3	and	and	CCONJ
cana-5215	15	4	assessed	assess	VERB
cana-5215	15	5	the	the	DET
cana-5215	15	6	system	system	NOUN
cana-5215	15	7	as	as	ADP
cana-5215	15	8	a	a	DET
cana-5215	15	9	whole	whole	NOUN
cana-5215	15	10	using	use	VERB
cana-5215	15	11	hybrid	hybrid	ADJ
cana-5215	15	12	machine	machine	NOUN
cana-5215	15	13	learning	learning	NOUN
cana-5215	15	14	methods	method	NOUN
cana-5215	15	15	for	for	ADP
cana-5215	15	16	classification	classification	NOUN
cana-5215	15	17	.	.	PUNCT
cana-5215	16	1	the	the	DET
cana-5215	16	2	experimental	experimental	ADJ
cana-5215	16	3	analysis	analysis	NOUN
cana-5215	16	4	highlights	highlight	VERB
cana-5215	16	5	the	the	DET
cana-5215	16	6	methodology	methodology	NOUN
cana-5215	16	7	for	for	ADP
cana-5215	16	8	evaluating	evaluate	VERB
cana-5215	16	9	the	the	DET
cana-5215	16	10	performance	performance	NOUN
cana-5215	16	11	of	of	ADP
cana-5215	16	12	the	the	DET
cana-5215	16	13	proposed	propose	VERB
cana-5215	16	14	system	system	NOUN
cana-5215	16	15	,	,	PUNCT
cana-5215	16	16	comparing	compare	VERB
cana-5215	16	17	it	it	PRON
cana-5215	16	18	with	with	ADP
cana-5215	16	19	existing	exist	VERB
cana-5215	16	20	approaches	approach	NOUN
cana-5215	16	21	.	.	PUNCT
cana-5215	17	1	keywords	keyword	NOUN
cana-5215	17	2	:	:	PUNCT
cana-5215	17	3	crm	crm	NOUN
cana-5215	17	4	,	,	PUNCT
cana-5215	17	5	machine	machine	NOUN
cana-5215	17	6	learning	learning	NOUN
cana-5215	17	7	,	,	PUNCT
cana-5215	17	8	and	and	CCONJ
cana-5215	17	9	natural	natural	ADJ
cana-5215	17	10	language	language	NOUN
cana-5215	17	11	processing	processing	NOUN
cana-5215	17	12	(	(	PUNCT
cana-5215	17	13	nlp	nlp	NOUN
cana-5215	17	14	)	)	PUNCT
cana-5215	17	15	.	.	PUNCT
cana-5215	18	1	i.	i.	PROPN
cana-5215	18	2	introduction	introduction	PROPN
cana-5215	18	3	recent	recent	ADJ
cana-5215	18	4	research	research	NOUN
cana-5215	18	5	has	have	AUX
cana-5215	18	6	shown	show	VERB
cana-5215	18	7	that	that	SCONJ
cana-5215	18	8	data	data	NOUN
cana-5215	18	9	mining	mining	NOUN
cana-5215	18	10	approaches	approach	NOUN
cana-5215	18	11	are	be	AUX
cana-5215	18	12	superior	superior	ADJ
cana-5215	18	13	at	at	ADP
cana-5215	18	14	forecasting	forecasting	NOUN
cana-5215	18	15	client	client	NOUN
cana-5215	18	16	turnover	turnover	NOUN
cana-5215	18	17	.	.	PUNCT
cana-5215	19	1	developing	develop	VERB
cana-5215	19	2	an	an	DET
cana-5215	19	3	effective	effective	ADJ
cana-5215	19	4	churn	churn	NOUN
cana-5215	19	5	prediction	prediction	NOUN
cana-5215	19	6	model	model	NOUN
cana-5215	19	7	is	be	AUX
cana-5215	19	8	crucial	crucial	ADJ
cana-5215	19	9	and	and	CCONJ
cana-5215	19	10	requires	require	VERB
cana-5215	19	11	significant	significant	ADJ
cana-5215	19	12	effort	effort	NOUN
cana-5215	19	13	.	.	PUNCT
cana-5215	20	1	from	from	ADP
cana-5215	20	2	the	the	DET
cana-5215	20	3	large	large	ADJ
cana-5215	20	4	amount	amount	NOUN
cana-5215	20	5	of	of	ADP
cana-5215	20	6	customer	customer	NOUN
cana-5215	20	7	data	datum	NOUN
cana-5215	20	8	that	that	PRON
cana-5215	20	9	is	be	AUX
cana-5215	20	10	available	available	ADJ
cana-5215	20	11	,	,	PUNCT
cana-5215	20	12	you	you	PRON
cana-5215	20	13	need	need	VERB
cana-5215	20	14	to	to	PART
cana-5215	20	15	pick	pick	VERB
cana-5215	20	16	out	out	ADP
cana-5215	20	17	the	the	DET
cana-5215	20	18	right	right	ADJ
cana-5215	20	19	predictor	predictor	NOUN
cana-5215	20	20	variables	variable	NOUN
cana-5215	20	21	.	.	PUNCT
cana-5215	21	1	telecommunications	telecommunication	NOUN
cana-5215	21	2	companies	company	NOUN
cana-5215	21	3	gather	gather	VERB
cana-5215	21	4	extensive	extensive	ADJ
cana-5215	21	5	consumer	consumer	NOUN
cana-5215	21	6	-	-	PUNCT
cana-5215	21	7	related	relate	VERB
cana-5215	21	8	data	datum	NOUN
cana-5215	21	9	,	,	PUNCT
cana-5215	21	10	including	include	VERB
cana-5215	21	11	customer	customer	NOUN
cana-5215	21	12	profiles	profile	NOUN
cana-5215	21	13	,	,	PUNCT
cana-5215	21	14	calling	call	VERB
cana-5215	21	15	habits	habit	NOUN
cana-5215	21	16	,	,	PUNCT
cana-5215	21	17	and	and	CCONJ
cana-5215	21	18	demographic	demographic	ADJ
cana-5215	21	19	information	information	NOUN
cana-5215	21	20	,	,	PUNCT
cana-5215	21	21	alongside	alongside	ADP
cana-5215	21	22	the	the	DET
cana-5215	21	23	network	network	NOUN
cana-5215	21	24	data	datum	NOUN
cana-5215	21	25	they	they	PRON
cana-5215	21	26	produce	produce	VERB
cana-5215	21	27	.	.	PUNCT
cana-5215	22	1	created	create	VERB
cana-5215	22	2	on	on	ADP
cana-5215	22	3	the	the	DET
cana-5215	22	4	client	client	NOUN
cana-5215	22	5	's	's	PART
cana-5215	22	6	historical	historical	ADJ
cana-5215	22	7	calling	call	VERB
cana-5215	22	8	behavior	behavior	NOUN
cana-5215	22	9	,	,	PUNCT
cana-5215	22	10	it	it	PRON
cana-5215	22	11	is	be	AUX
cana-5215	22	12	possible	possible	ADJ
cana-5215	22	13	to	to	PART
cana-5215	22	14	identify	identify	VERB
cana-5215	22	15	their	their	PRON
cana-5215	22	16	propensity	propensity	NOUN
cana-5215	22	17	to	to	PART
cana-5215	22	18	disengage	disengage	VERB
cana-5215	22	19	or	or	CCONJ
cana-5215	22	20	remain	remain	VERB
cana-5215	22	21	engaged	engaged	ADJ
cana-5215	22	22	.	.	PUNCT
cana-5215	23	1	research	research	NOUN
cana-5215	23	2	directed	direct	VERB
cana-5215	23	3	over	over	ADP
cana-5215	23	4	the	the	DET
cana-5215	23	5	previous	previous	ADJ
cana-5215	23	6	decade	decade	NOUN
cana-5215	23	7	indicates	indicate	VERB
cana-5215	23	8	that	that	SCONJ
cana-5215	23	9	data	data	NOUN
cana-5215	23	10	mining	mining	NOUN
cana-5215	23	11	approaches	approach	NOUN
cana-5215	23	12	are	be	AUX
cana-5215	23	13	communications	communication	NOUN
cana-5215	23	14	on	on	ADP
cana-5215	23	15	applied	apply	VERB
cana-5215	23	16	nonlinear	nonlinear	ADJ
cana-5215	23	17	analysis	analysis	NOUN
cana-5215	23	18	issn	issn	NOUN
cana-5215	23	19	:	:	PUNCT
cana-5215	23	20	1074	1074	NUM
cana-5215	23	21	-	-	PUNCT
cana-5215	23	22	133x	133x	NUM
cana-5215	23	23	vol	vol	VERB
cana-5215	23	24	32	32	NUM
cana-5215	23	25	no	no	NOUN
cana-5215	23	26	.	.	PUNCT
cana-5215	23	27	10s	10	NOUN
cana-5215	23	28	(	(	PUNCT
cana-5215	23	29	2025	2025	NUM
cana-5215	23	30	)	)	PUNCT
cana-5215	23	31	1165	1165	NUM
cana-5215	23	32	https://internationalpubls.com	https://internationalpubls.com	X
cana-5215	23	33	increasingly	increasingly	ADV
cana-5215	23	34	successful	successful	ADJ
cana-5215	23	35	in	in	ADP
cana-5215	23	36	forecasting	forecast	VERB
cana-5215	23	37	turnover	turnover	NOUN
cana-5215	23	38	.	.	PUNCT
cana-5215	24	1	the	the	DET
cana-5215	24	2	predictive	predictive	ADJ
cana-5215	24	3	modeling	modeling	NOUN
cana-5215	24	4	approaches	approach	NOUN
cana-5215	24	5	used	use	VERB
cana-5215	24	6	in	in	ADP
cana-5215	24	7	churn	churn	NOUN
cana-5215	24	8	prediction	prediction	NOUN
cana-5215	24	9	are	be	AUX
cana-5215	24	10	regarded	regard	VERB
cana-5215	24	11	as	as	ADP
cana-5215	24	12	more	more	ADV
cana-5215	24	13	precise	precise	ADJ
cana-5215	24	14	.	.	PUNCT
cana-5215	25	1	in	in	ADP
cana-5215	25	2	the	the	DET
cana-5215	25	3	telecommunications	telecommunications	NOUN
cana-5215	25	4	sector	sector	NOUN
cana-5215	25	5	,	,	PUNCT
cana-5215	25	6	the	the	DET
cana-5215	25	7	daily	daily	ADJ
cana-5215	25	8	generation	generation	NOUN
cana-5215	25	9	of	of	ADP
cana-5215	25	10	substantial	substantial	ADJ
cana-5215	25	11	data	datum	NOUN
cana-5215	25	12	makes	make	VERB
cana-5215	25	13	the	the	DET
cana-5215	25	14	use	use	NOUN
cana-5215	25	15	of	of	ADP
cana-5215	25	16	particular	particular	ADJ
cana-5215	25	17	data	datum	NOUN
cana-5215	25	18	mining	mining	NOUN
cana-5215	25	19	techniques	technique	NOUN
cana-5215	25	20	laborious	laborious	ADJ
cana-5215	25	21	,	,	PUNCT
cana-5215	25	22	while	while	SCONJ
cana-5215	25	23	the	the	DET
cana-5215	25	24	interpretation	interpretation	NOUN
cana-5215	25	25	of	of	ADP
cana-5215	25	26	predictions	prediction	NOUN
cana-5215	25	27	derived	derive	VERB
cana-5215	25	28	from	from	ADP
cana-5215	25	29	conventional	conventional	ADJ
cana-5215	25	30	methods	method	NOUN
cana-5215	25	31	becomes	become	VERB
cana-5215	25	32	challenging	challenging	ADJ
cana-5215	25	33	.	.	PUNCT
cana-5215	26	1	effectively	effectively	ADV
cana-5215	26	2	identifying	identify	VERB
cana-5215	26	3	turnover	turnover	NOUN
cana-5215	26	4	from	from	ADP
cana-5215	26	5	extensive	extensive	ADJ
cana-5215	26	6	data	datum	NOUN
cana-5215	26	7	enhances	enhance	VERB
cana-5215	26	8	customer	customer	NOUN
cana-5215	26	9	relationship	relationship	NOUN
cana-5215	26	10	management	management	NOUN
cana-5215	26	11	(	(	PUNCT
cana-5215	26	12	crm	crm	PROPN
cana-5215	26	13	)	)	PUNCT
cana-5215	26	14	.	.	PUNCT
cana-5215	27	1	the	the	DET
cana-5215	27	2	first	first	ADJ
cana-5215	27	3	system	system	NOUN
cana-5215	27	4	covers	cover	VERB
cana-5215	27	5	the	the	DET
cana-5215	27	6	strategic	strategic	ADJ
cana-5215	27	7	nlp	nlp	NOUN
cana-5215	27	8	process	process	NOUN
cana-5215	27	9	,	,	PUNCT
cana-5215	27	10	which	which	PRON
cana-5215	27	11	includes	include	VERB
cana-5215	27	12	feature	feature	NOUN
cana-5215	27	13	extraction	extraction	NOUN
cana-5215	27	14	,	,	PUNCT
cana-5215	27	15	feature	feature	NOUN
cana-5215	27	16	selection	selection	NOUN
cana-5215	27	17	,	,	PUNCT
cana-5215	27	18	data	datum	NOUN
cana-5215	27	19	normalization	normalization	NOUN
cana-5215	27	20	,	,	PUNCT
cana-5215	27	21	and	and	CCONJ
cana-5215	27	22	data	datum	NOUN
cana-5215	27	23	pre	pre	ADJ
cana-5215	27	24	-	-	NOUN
cana-5215	27	25	processing	processing	ADJ
cana-5215	27	26	.	.	PUNCT
cana-5215	28	1	we	we	PRON
cana-5215	28	2	use	use	VERB
cana-5215	28	3	machine	machine	NOUN
cana-5215	28	4	learning	learn	VERB
cana-5215	28	5	classification	classification	NOUN
cana-5215	28	6	algorithms	algorithm	NOUN
cana-5215	28	7	to	to	PART
cana-5215	28	8	teach	teach	VERB
cana-5215	28	9	and	and	CCONJ
cana-5215	28	10	assess	assess	VERB
cana-5215	28	11	the	the	DET
cana-5215	28	12	whole	whole	ADJ
cana-5215	28	13	curriculum	curriculum	NOUN
cana-5215	28	14	.	.	PUNCT
cana-5215	29	1	ii	ii	PROPN
cana-5215	29	2	.	.	PUNCT
cana-5215	30	1	literature	literature	NOUN
cana-5215	30	2	survey	survey	NOUN
cana-5215	30	3	in	in	ADP
cana-5215	30	4	[	[	X
cana-5215	30	5	1	1	NUM
cana-5215	30	6	]	]	PUNCT
cana-5215	30	7	clustered	clustered	ADJ
cana-5215	30	8	input	input	NOUN
cana-5215	30	9	features	feature	NOUN
cana-5215	30	10	refer	refer	VERB
cana-5215	30	11	to	to	ADP
cana-5215	30	12	characteristics	characteristic	NOUN
cana-5215	30	13	that	that	SCONJ
cana-5215	30	14	group	group	NOUN
cana-5215	30	15	subscribers	subscriber	NOUN
cana-5215	30	16	into	into	ADP
cana-5215	30	17	distinct	distinct	ADJ
cana-5215	30	18	clusters	cluster	NOUN
cana-5215	30	19	using	use	VERB
cana-5215	30	20	algorithms	algorithm	NOUN
cana-5215	30	21	like	like	ADP
cana-5215	30	22	k	k	NOUN
cana-5215	30	23	-	-	PUNCT
cana-5215	30	24	means	mean	NOUN
cana-5215	30	25	and	and	CCONJ
cana-5215	30	26	fuzzy	fuzzy	ADJ
cana-5215	30	27	c	c	NOUN
cana-5215	30	28	-	-	PUNCT
cana-5215	30	29	means	means	NOUN
cana-5215	30	30	clustering	clustering	NOUN
cana-5215	30	31	.	.	PUNCT
cana-5215	31	1	the	the	DET
cana-5215	31	2	first	first	ADJ
cana-5215	31	3	step	step	NOUN
cana-5215	31	4	in	in	ADP
cana-5215	31	5	the	the	DET
cana-5215	31	6	prediction	prediction	NOUN
cana-5215	31	7	process	process	NOUN
cana-5215	31	8	involves	involve	VERB
cana-5215	31	9	neuro	neuro	NOUN
cana-5215	31	10	-	-	PUNCT
cana-5215	31	11	fuzzy	fuzzy	ADJ
cana-5215	31	12	parallel	parallel	ADJ
cana-5215	31	13	classification	classification	NOUN
cana-5215	31	14	.	.	PUNCT
cana-5215	32	1	following	follow	VERB
cana-5215	32	2	this	this	PRON
cana-5215	32	3	,	,	PUNCT
cana-5215	32	4	the	the	DET
cana-5215	32	5	fis	fis	PROPN
cana-5215	32	6	utilizes	utilize	VERB
cana-5215	32	7	the	the	DET
cana-5215	32	8	outputs	output	NOUN
cana-5215	32	9	from	from	ADP
cana-5215	32	10	the	the	DET
cana-5215	32	11	neuro	neuro	NOUN
cana-5215	32	12	-	-	PUNCT
cana-5215	32	13	fuzzy	fuzzy	ADJ
cana-5215	32	14	classifier	classifier	NOUN
cana-5215	32	15	to	to	PART
cana-5215	32	16	assess	assess	VERB
cana-5215	32	17	churner	churner	NOUN
cana-5215	32	18	behaviors	behavior	NOUN
cana-5215	32	19	.	.	PUNCT
cana-5215	33	1	this	this	PRON
cana-5215	33	2	helps	helps	AUX
cana-5215	33	3	identify	identify	VERB
cana-5215	33	4	potential	potential	ADJ
cana-5215	33	5	inefficiencies	inefficiency	NOUN
cana-5215	33	6	,	,	PUNCT
cana-5215	33	7	which	which	PRON
cana-5215	33	8	may	may	AUX
cana-5215	33	9	be	be	AUX
cana-5215	33	10	measured	measure	VERB
cana-5215	33	11	using	use	VERB
cana-5215	33	12	success	success	NOUN
cana-5215	33	13	metrics	metric	NOUN
cana-5215	33	14	.	.	PUNCT
cana-5215	34	1	additionally	additionally	ADV
cana-5215	34	2	,	,	PUNCT
cana-5215	34	3	the	the	DET
cana-5215	34	4	flexibility	flexibility	NOUN
cana-5215	34	5	of	of	ADP
cana-5215	34	6	gsm	gsm	ADJ
cana-5215	34	7	numbers	number	NOUN
cana-5215	34	8	plays	play	VERB
cana-5215	34	9	a	a	DET
cana-5215	34	10	critical	critical	ADJ
cana-5215	34	11	role	role	NOUN
cana-5215	34	12	in	in	ADP
cana-5215	34	13	selecting	select	VERB
cana-5215	34	14	churners	churner	NOUN
cana-5215	34	15	.	.	PUNCT
cana-5215	35	1	in	in	ADP
cana-5215	35	2	system	system	NOUN
cana-5215	35	3	[	[	X
cana-5215	35	4	2	2	NUM
cana-5215	35	5	]	]	PUNCT
cana-5215	35	6	double	double	ADJ
cana-5215	35	7	probabilistic	probabilistic	ADJ
cana-5215	35	8	data	datum	NOUN
cana-5215	35	9	mining	mining	NOUN
cana-5215	35	10	methods	method	NOUN
cana-5215	35	11	,	,	PUNCT
cana-5215	35	12	naive	naive	ADJ
cana-5215	35	13	bayes	bayes	NOUN
cana-5215	35	14	and	and	CCONJ
cana-5215	35	15	bayesian	bayesian	NOUN
cana-5215	35	16	networks	network	NOUN
cana-5215	35	17	,	,	PUNCT
cana-5215	35	18	are	be	AUX
cana-5215	35	19	employed	employ	VERB
cana-5215	35	20	to	to	PART
cana-5215	35	21	analyze	analyze	VERB
cana-5215	35	22	these	these	DET
cana-5215	35	23	features	feature	NOUN
cana-5215	35	24	.	.	PUNCT
cana-5215	36	1	the	the	DET
cana-5215	36	2	outcomes	outcome	NOUN
cana-5215	36	3	are	be	AUX
cana-5215	36	4	then	then	ADV
cana-5215	36	5	related	relate	VERB
cana-5215	36	6	to	to	ADP
cana-5215	36	7	persons	person	NOUN
cana-5215	36	8	produced	produce	VERB
cana-5215	36	9	by	by	ADP
cana-5215	36	10	a	a	DET
cana-5215	36	11	c4.5	c4.5	PROPN
cana-5215	36	12	decision	decision	NOUN
cana-5215	36	13	tree	tree	NOUN
cana-5215	36	14	,	,	PUNCT
cana-5215	36	15	a	a	DET
cana-5215	36	16	widely	widely	ADV
cana-5215	36	17	used	use	VERB
cana-5215	36	18	tool	tool	NOUN
cana-5215	36	19	in	in	ADP
cana-5215	36	20	various	various	ADJ
cana-5215	36	21	classifications	classification	NOUN
cana-5215	36	22	in	in	ADP
cana-5215	36	23	addition	addition	NOUN
cana-5215	36	24	prediction	prediction	NOUN
cana-5215	36	25	tasks	task	NOUN
cana-5215	36	26	.	.	PUNCT
cana-5215	37	1	this	this	DET
cana-5215	37	2	approach	approach	NOUN
cana-5215	37	3	suggests	suggest	VERB
cana-5215	37	4	that	that	SCONJ
cana-5215	37	5	consumers	consumer	NOUN
cana-5215	37	6	might	might	AUX
cana-5215	37	7	easily	easily	ADV
cana-5215	37	8	switch	switch	VERB
cana-5215	37	9	to	to	ADP
cana-5215	37	10	competitors	competitor	NOUN
cana-5215	37	11	,	,	PUNCT
cana-5215	37	12	among	among	ADP
cana-5215	37	13	other	other	ADJ
cana-5215	37	14	factors	factor	NOUN
cana-5215	37	15	.	.	PUNCT
cana-5215	38	1	one	one	NUM
cana-5215	38	2	potential	potential	ADJ
cana-5215	38	3	strategy	strategy	NOUN
cana-5215	38	4	to	to	PART
cana-5215	38	5	improve	improve	VERB
cana-5215	38	6	churn	churn	NOUN
cana-5215	38	7	prediction	prediction	NOUN
cana-5215	38	8	is	be	AUX
cana-5215	38	9	to	to	PART
cana-5215	38	10	utilize	utilize	VERB
cana-5215	38	11	data	data	NOUN
cana-5215	38	12	extraction	extraction	NOUN
cana-5215	38	13	techniques	technique	NOUN
cana-5215	38	14	to	to	PART
cana-5215	38	15	analyze	analyze	VERB
cana-5215	38	16	large	large	ADJ
cana-5215	38	17	datasets	dataset	NOUN
cana-5215	38	18	more	more	ADV
cana-5215	38	19	effectively	effectively	ADV
cana-5215	38	20	.	.	PUNCT
cana-5215	39	1	according	accord	VERB
cana-5215	39	2	to	to	ADP
cana-5215	39	3	[	[	X
cana-5215	39	4	3	3	X
cana-5215	39	5	]	]	X
cana-5215	39	6	a	a	DET
cana-5215	39	7	formalization	formalization	NOUN
cana-5215	39	8	of	of	ADP
cana-5215	39	9	the	the	DET
cana-5215	39	10	time	time	NOUN
cana-5215	39	11	window	window	NOUN
cana-5215	39	12	selection	selection	NOUN
cana-5215	39	13	process	process	NOUN
cana-5215	39	14	,	,	PUNCT
cana-5215	39	15	followed	follow	VERB
cana-5215	39	16	by	by	ADP
cana-5215	39	17	a	a	DET
cana-5215	39	18	comprehensive	comprehensive	ADJ
cana-5215	39	19	literature	literature	NOUN
cana-5215	39	20	review	review	NOUN
cana-5215	39	21	.	.	PUNCT
cana-5215	40	1	the	the	DET
cana-5215	40	2	approach	approach	NOUN
cana-5215	40	3	helps	help	VERB
cana-5215	40	4	researchers	researcher	NOUN
cana-5215	40	5	significantly	significantly	ADV
cana-5215	40	6	reduce	reduce	VERB
cana-5215	40	7	data	data	NOUN
cana-5215	40	8	-	-	PUNCT
cana-5215	40	9	related	relate	VERB
cana-5215	40	10	challenges	challenge	NOUN
cana-5215	40	11	in	in	ADP
cana-5215	40	12	areas	area	NOUN
cana-5215	40	13	like	like	ADP
cana-5215	40	14	storage	storage	NOUN
cana-5215	40	15	,	,	PUNCT
cana-5215	40	16	planning	planning	NOUN
cana-5215	40	17	,	,	PUNCT
cana-5215	40	18	and	and	CCONJ
cana-5215	40	19	analysis	analysis	NOUN
cana-5215	40	20	.	.	PUNCT
cana-5215	41	1	a	a	DET
cana-5215	41	2	newspaper	newspaper	NOUN
cana-5215	41	3	company	company	NOUN
cana-5215	41	4	sends	send	VERB
cana-5215	41	5	out	out	ADP
cana-5215	41	6	notifications	notification	NOUN
cana-5215	41	7	to	to	PART
cana-5215	41	8	inform	inform	VERB
cana-5215	41	9	customers	customer	NOUN
cana-5215	41	10	of	of	ADP
cana-5215	41	11	their	their	PRON
cana-5215	41	12	subscription	subscription	NOUN
cana-5215	41	13	's	's	PART
cana-5215	41	14	expiration	expiration	NOUN
cana-5215	41	15	,	,	PUNCT
cana-5215	41	16	asking	ask	VERB
cana-5215	41	17	if	if	SCONJ
cana-5215	41	18	they	they	PRON
cana-5215	41	19	wish	wish	VERB
cana-5215	41	20	to	to	PART
cana-5215	41	21	renew	renew	VERB
cana-5215	41	22	and	and	CCONJ
cana-5215	41	23	providing	provide	VERB
cana-5215	41	24	guidance	guidance	NOUN
cana-5215	41	25	on	on	ADP
cana-5215	41	26	how	how	SCONJ
cana-5215	41	27	to	to	PART
cana-5215	41	28	do	do	AUX
cana-5215	41	29	so	so	ADV
cana-5215	41	30	.	.	PUNCT
cana-5215	42	1	according	accord	VERB
cana-5215	42	2	to	to	ADP
cana-5215	42	3	[	[	X
cana-5215	42	4	4	4	NUM
cana-5215	42	5	]	]	PUNCT
cana-5215	42	6	successfully	successfully	ADV
cana-5215	42	7	diminish	diminish	VERB
cana-5215	42	8	client	client	NOUN
cana-5215	42	9	attrition	attrition	NOUN
cana-5215	42	10	;	;	PUNCT
cana-5215	42	11	it	it	PRON
cana-5215	42	12	is	be	AUX
cana-5215	42	13	essential	essential	ADJ
cana-5215	42	14	to	to	PART
cana-5215	42	15	use	use	VERB
cana-5215	42	16	the	the	DET
cana-5215	42	17	most	most	ADV
cana-5215	42	18	effective	effective	ADJ
cana-5215	42	19	retention	retention	NOUN
cana-5215	42	20	techniques	technique	NOUN
cana-5215	42	21	.	.	PUNCT
cana-5215	43	1	for	for	ADP
cana-5215	43	2	malaysia	malaysia	PROPN
cana-5215	43	3	's	's	PART
cana-5215	43	4	leading	lead	VERB
cana-5215	43	5	telecom	telecom	NOUN
cana-5215	43	6	firms	firm	NOUN
cana-5215	43	7	,	,	PUNCT
cana-5215	43	8	the	the	DET
cana-5215	43	9	study	study	NOUN
cana-5215	43	10	suggests	suggest	VERB
cana-5215	43	11	predicting	predict	VERB
cana-5215	43	12	customer	customer	NOUN
cana-5215	43	13	attrition	attrition	NOUN
cana-5215	43	14	with	with	ADP
cana-5215	43	15	the	the	DET
cana-5215	43	16	multilayer	multilayer	ADJ
cana-5215	43	17	perceptron	perceptron	PROPN
cana-5215	43	18	(	(	PUNCT
cana-5215	43	19	mlp	mlp	NOUN
cana-5215	43	20	)	)	PUNCT
cana-5215	43	21	approach	approach	NOUN
cana-5215	43	22	.	.	PUNCT
cana-5215	44	1	they	they	PRON
cana-5215	44	2	contrasted	contrast	VERB
cana-5215	44	3	the	the	DET
cana-5215	44	4	outcomes	outcome	NOUN
cana-5215	44	5	with	with	ADP
cana-5215	44	6	those	those	PRON
cana-5215	44	7	of	of	ADP
cana-5215	44	8	reputable	reputable	ADJ
cana-5215	44	9	churn	churn	NOUN
cana-5215	44	10	prediction	prediction	NOUN
cana-5215	44	11	methods	method	NOUN
cana-5215	44	12	,	,	PUNCT
cana-5215	44	13	such	such	ADJ
cana-5215	44	14	as	as	ADP
cana-5215	44	15	logistic	logistic	ADJ
cana-5215	44	16	regression	regression	NOUN
cana-5215	44	17	analysis	analysis	NOUN
cana-5215	44	18	in	in	ADP
cana-5215	44	19	addition	addition	NOUN
cana-5215	44	20	to	to	ADP
cana-5215	44	21	multiple	multiple	ADJ
cana-5215	44	22	regression	regression	NOUN
cana-5215	44	23	analysis	analysis	NOUN
cana-5215	44	24	.	.	PUNCT
cana-5215	45	1	the	the	DET
cana-5215	45	2	ideal	ideal	ADJ
cana-5215	45	3	neural	neural	ADJ
cana-5215	45	4	network	network	NOUN
cana-5215	45	5	topology	topology	NOUN
cana-5215	45	6	,	,	PUNCT
cana-5215	45	7	as	as	SCONJ
cana-5215	45	8	determined	determine	VERB
cana-5215	45	9	by	by	ADP
cana-5215	45	10	the	the	DET
cana-5215	45	11	levenberg	levenberg	PROPN
cana-5215	45	12	-	-	PUNCT
cana-5215	45	13	marquardt	marquardt	PROPN
cana-5215	45	14	(	(	PUNCT
cana-5215	45	15	lm	lm	INTJ
cana-5215	45	16	)	)	PUNCT
cana-5215	45	17	learning	learn	VERB
cana-5215	45	18	algorithm	algorithm	NOUN
cana-5215	45	19	,	,	PUNCT
cana-5215	45	20	has	have	VERB
cana-5215	45	21	one	one	NUM
cana-5215	45	22	output	output	NOUN
cana-5215	45	23	node	node	NOUN
cana-5215	45	24	,	,	PUNCT
cana-5215	45	25	one	one	NUM
cana-5215	45	26	hidden	hide	VERB
cana-5215	45	27	node	node	NOUN
cana-5215	45	28	,	,	PUNCT
cana-5215	45	29	and	and	CCONJ
cana-5215	45	30	fourteen	fourteen	NUM
cana-5215	45	31	input	input	NOUN
cana-5215	45	32	nodes	node	NOUN
cana-5215	45	33	.	.	PUNCT
cana-5215	46	1	according	accord	VERB
cana-5215	46	2	to	to	ADP
cana-5215	46	3	[	[	X
cana-5215	46	4	5	5	X
cana-5215	46	5	]	]	PUNCT
cana-5215	46	6	they	they	PRON
cana-5215	46	7	employ	employ	VERB
cana-5215	46	8	a	a	DET
cana-5215	46	9	partial	partial	ADJ
cana-5215	46	10	least	least	ADJ
cana-5215	46	11	squares	square	NOUN
cana-5215	46	12	(	(	PUNCT
cana-5215	46	13	pls	pls	INTJ
cana-5215	46	14	)	)	PUNCT
cana-5215	46	15	approach	approach	NOUN
cana-5215	46	16	utilizing	utilize	VERB
cana-5215	46	17	highly	highly	ADV
cana-5215	46	18	correlated	correlate	VERB
cana-5215	46	19	dataset	dataset	NOUN
cana-5215	46	20	intervals	interval	NOUN
cana-5215	46	21	to	to	PART
cana-5215	46	22	create	create	VERB
cana-5215	46	23	a	a	DET
cana-5215	46	24	precise	precise	ADJ
cana-5215	46	25	and	and	CCONJ
cana-5215	46	26	efficient	efficient	ADJ
cana-5215	46	27	predictive	predictive	ADJ
cana-5215	46	28	churn	churn	NOUN
cana-5215	46	29	model	model	NOUN
cana-5215	46	30	.	.	PUNCT
cana-5215	47	1	initial	initial	ADJ
cana-5215	47	2	experiments	experiment	NOUN
cana-5215	47	3	show	show	VERB
cana-5215	47	4	that	that	SCONJ
cana-5215	47	5	this	this	DET
cana-5215	47	6	model	model	NOUN
cana-5215	47	7	surpasses	surpass	VERB
cana-5215	47	8	current	current	ADJ
cana-5215	47	9	prediction	prediction	NOUN
cana-5215	47	10	models	model	NOUN
cana-5215	47	11	,	,	PUNCT
cana-5215	47	12	shedding	shed	VERB
cana-5215	47	13	light	light	NOUN
cana-5215	47	14	on	on	ADP
cana-5215	47	15	key	key	ADJ
cana-5215	47	16	factors	factor	NOUN
cana-5215	47	17	that	that	PRON
cana-5215	47	18	help	help	VERB
cana-5215	47	19	in	in	ADP
cana-5215	47	20	understanding	understand	VERB
cana-5215	47	21	churn	churn	NOUN
cana-5215	47	22	behavior	behavior	NOUN
cana-5215	47	23	more	more	ADV
cana-5215	47	24	effectively	effectively	ADV
cana-5215	47	25	.	.	PUNCT
cana-5215	48	1	in	in	ADP
cana-5215	48	2	[	[	X
cana-5215	48	3	6	6	NUM
cana-5215	48	4	]	]	PUNCT
cana-5215	48	5	the	the	DET
cana-5215	48	6	tests	test	NOUN
cana-5215	48	7	show	show	VERB
cana-5215	48	8	how	how	SCONJ
cana-5215	48	9	well	well	ADV
cana-5215	48	10	different	different	ADJ
cana-5215	48	11	approaches	approach	NOUN
cana-5215	48	12	,	,	PUNCT
cana-5215	48	13	such	such	ADJ
cana-5215	48	14	as	as	ADP
cana-5215	48	15	weighted	weight	VERB
cana-5215	48	16	random	random	ADJ
cana-5215	48	17	forests	forest	NOUN
cana-5215	48	18	,	,	PUNCT
cana-5215	48	19	gradient	gradient	ADJ
cana-5215	48	20	boosting	boost	VERB
cana-5215	48	21	models	model	NOUN
cana-5215	48	22	,	,	PUNCT
cana-5215	48	23	random	random	ADJ
cana-5215	48	24	sampling	sampling	NOUN
cana-5215	48	25	,	,	PUNCT
cana-5215	48	26	and	and	CCONJ
cana-5215	48	27	advanced	advanced	ADJ
cana-5215	48	28	undersampling	undersampling	ADJ
cana-5215	48	29	,	,	PUNCT
cana-5215	48	30	work	work	NOUN
cana-5215	48	31	in	in	ADP
cana-5215	48	32	churn	churn	NOUN
cana-5215	48	33	prediction	prediction	NOUN
cana-5215	48	34	models	model	NOUN
cana-5215	48	35	that	that	PRON
cana-5215	48	36	use	use	VERB
cana-5215	48	37	datasets	dataset	NOUN
cana-5215	48	38	that	that	PRON
cana-5215	48	39	are	be	AUX
cana-5215	48	40	n't	not	PART
cana-5215	48	41	balanced	balanced	ADJ
cana-5215	48	42	.	.	PUNCT
cana-5215	49	1	we	we	PRON
cana-5215	49	2	evaluated	evaluate	VERB
cana-5215	49	3	the	the	DET
cana-5215	49	4	model	model	NOUN
cana-5215	49	5	's	's	PART
cana-5215	49	6	performance	performance	NOUN
cana-5215	49	7	using	use	VERB
cana-5215	49	8	measures	measure	NOUN
cana-5215	49	9	such	such	ADJ
cana-5215	49	10	as	as	ADP
cana-5215	49	11	auc	auc	NOUN
cana-5215	49	12	and	and	CCONJ
cana-5215	49	13	communications	communication	NOUN
cana-5215	49	14	on	on	ADP
cana-5215	49	15	applied	apply	VERB
cana-5215	49	16	nonlinear	nonlinear	ADJ
cana-5215	49	17	analysis	analysis	NOUN
cana-5215	49	18	issn	issn	NOUN
cana-5215	49	19	:	:	PUNCT
cana-5215	49	20	1074	1074	NUM
cana-5215	49	21	-	-	PUNCT
cana-5215	49	22	133x	133x	NUM
cana-5215	49	23	vol	vol	VERB
cana-5215	49	24	32	32	NUM
cana-5215	49	25	no	no	NOUN
cana-5215	49	26	.	.	PUNCT
cana-5215	50	1	10s	10	NOUN
cana-5215	50	2	(	(	PUNCT
cana-5215	50	3	2025	2025	NUM
cana-5215	50	4	)	)	PUNCT
cana-5215	50	5	1166	1166	NUM
cana-5215	50	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5215	50	7	lift	lift	NOUN
cana-5215	50	8	.	.	PUNCT
cana-5215	51	1	the	the	DET
cana-5215	51	2	findings	finding	NOUN
cana-5215	51	3	indicated	indicate	VERB
cana-5215	51	4	that	that	SCONJ
cana-5215	51	5	the	the	DET
cana-5215	51	6	undersampling	undersampling	ADJ
cana-5215	51	7	technique	technique	NOUN
cana-5215	51	8	produced	produce	VERB
cana-5215	51	9	superior	superior	ADJ
cana-5215	51	10	performance	performance	NOUN
cana-5215	51	11	relative	relative	ADJ
cana-5215	51	12	to	to	ADP
cana-5215	51	13	the	the	DET
cana-5215	51	14	other	other	ADJ
cana-5215	51	15	strategies	strategy	NOUN
cana-5215	51	16	.	.	PUNCT
cana-5215	52	1	according	accord	VERB
cana-5215	52	2	to	to	ADP
cana-5215	52	3	[	[	X
cana-5215	52	4	7	7	X
cana-5215	52	5	]	]	PUNCT
cana-5215	52	6	they	they	PRON
cana-5215	52	7	propose	propose	VERB
cana-5215	52	8	an	an	DET
cana-5215	52	9	advanced	advanced	ADJ
cana-5215	52	10	data	data	NOUN
cana-5215	52	11	mining	mining	NOUN
cana-5215	52	12	methodology	methodology	NOUN
cana-5215	52	13	for	for	ADP
cana-5215	52	14	identifying	identify	VERB
cana-5215	52	15	client	client	NOUN
cana-5215	52	16	attrition	attrition	NOUN
cana-5215	52	17	within	within	ADP
cana-5215	52	18	an	an	DET
cana-5215	52	19	extensive	extensive	ADJ
cana-5215	52	20	dataset	dataset	NOUN
cana-5215	52	21	.	.	PUNCT
cana-5215	53	1	the	the	DET
cana-5215	53	2	investigation	investigation	NOUN
cana-5215	53	3	was	be	AUX
cana-5215	53	4	performed	perform	VERB
cana-5215	53	5	on	on	ADP
cana-5215	53	6	data	datum	NOUN
cana-5215	53	7	from	from	ADP
cana-5215	53	8	more	more	ADJ
cana-5215	53	9	than	than	ADP
cana-5215	53	10	3,500	3,500	NUM
cana-5215	53	11	users	user	NOUN
cana-5215	53	12	,	,	PUNCT
cana-5215	53	13	concentrating	concentrate	VERB
cana-5215	53	14	on	on	ADP
cana-5215	53	15	the	the	DET
cana-5215	53	16	number	number	NOUN
cana-5215	53	17	of	of	ADP
cana-5215	53	18	incoming	incoming	ADJ
cana-5215	53	19	and	and	CCONJ
cana-5215	53	20	departing	depart	VERB
cana-5215	53	21	calls	call	NOUN
cana-5215	53	22	and	and	CCONJ
cana-5215	53	23	texts	text	NOUN
cana-5215	53	24	.	.	PUNCT
cana-5215	54	1	they	they	PRON
cana-5215	54	2	developed	develop	VERB
cana-5215	54	3	and	and	CCONJ
cana-5215	54	4	evaluated	evaluate	VERB
cana-5215	54	5	the	the	DET
cana-5215	54	6	classification	classification	NOUN
cana-5215	54	7	system	system	NOUN
cana-5215	54	8	using	use	VERB
cana-5215	54	9	several	several	ADJ
cana-5215	54	10	machine	machine	NOUN
cana-5215	54	11	learning	learning	NOUN
cana-5215	54	12	methodologies	methodology	NOUN
cana-5215	54	13	.	.	PUNCT
cana-5215	55	1	the	the	DET
cana-5215	55	2	system	system	NOUN
cana-5215	55	3	's	's	PART
cana-5215	55	4	anticipated	anticipate	VERB
cana-5215	55	5	accuracy	accuracy	NOUN
cana-5215	55	6	throughout	throughout	ADP
cana-5215	55	7	the	the	DET
cana-5215	55	8	whole	whole	ADJ
cana-5215	55	9	dataset	dataset	NOUN
cana-5215	55	10	is	be	AUX
cana-5215	55	11	about	about	ADV
cana-5215	55	12	90	90	NUM
cana-5215	55	13	%	%	NOUN
cana-5215	55	14	.	.	PUNCT
cana-5215	56	1	in	in	ADP
cana-5215	56	2	[	[	X
cana-5215	56	3	8	8	NUM
cana-5215	56	4	]	]	X
cana-5215	56	5	a	a	DET
cana-5215	56	6	predictive	predictive	ADJ
cana-5215	56	7	model	model	NOUN
cana-5215	56	8	was	be	AUX
cana-5215	56	9	created	create	VERB
cana-5215	56	10	using	use	VERB
cana-5215	56	11	a	a	DET
cana-5215	56	12	neural	neural	ADJ
cana-5215	56	13	network	network	NOUN
cana-5215	56	14	algorithm	algorithm	NOUN
cana-5215	56	15	to	to	PART
cana-5215	56	16	tackle	tackle	VERB
cana-5215	56	17	the	the	DET
cana-5215	56	18	customer	customer	NOUN
cana-5215	56	19	attrition	attrition	NOUN
cana-5215	56	20	issue	issue	NOUN
cana-5215	56	21	at	at	ADP
cana-5215	56	22	a	a	DET
cana-5215	56	23	major	major	ADJ
cana-5215	56	24	china	china	PROPN
cana-5215	56	25	telecom	telecom	PROPN
cana-5215	56	26	firm	firm	NOUN
cana-5215	56	27	with	with	ADP
cana-5215	56	28	over	over	ADP
cana-5215	56	29	5.23	5.23	NUM
cana-5215	56	30	million	million	NUM
cana-5215	56	31	clients	client	NOUN
cana-5215	56	32	.	.	PUNCT
cana-5215	57	1	the	the	DET
cana-5215	57	2	model	model	NOUN
cana-5215	57	3	attained	attain	VERB
cana-5215	57	4	an	an	DET
cana-5215	57	5	overall	overall	ADJ
cana-5215	57	6	accuracy	accuracy	NOUN
cana-5215	57	7	of	of	ADP
cana-5215	57	8	91.1	91.1	NUM
cana-5215	57	9	%	%	NOUN
cana-5215	57	10	,	,	PUNCT
cana-5215	57	11	indicating	indicate	VERB
cana-5215	57	12	a	a	DET
cana-5215	57	13	significant	significant	ADJ
cana-5215	57	14	degree	degree	NOUN
cana-5215	57	15	of	of	ADP
cana-5215	57	16	prediction	prediction	NOUN
cana-5215	57	17	proficiency	proficiency	NOUN
cana-5215	57	18	.	.	PUNCT
cana-5215	58	1	according	accord	VERB
cana-5215	58	2	to	to	ADP
cana-5215	58	3	[	[	X
cana-5215	58	4	9	9	NUM
cana-5215	58	5	]	]	PUNCT
cana-5215	58	6	proposed	propose	VERB
cana-5215	58	7	using	use	VERB
cana-5215	58	8	genetic	genetic	ADJ
cana-5215	58	9	programming	programming	NOUN
cana-5215	58	10	to	to	PART
cana-5215	58	11	model	model	VERB
cana-5215	58	12	the	the	DET
cana-5215	58	13	churn	churn	NOUN
cana-5215	58	14	challenges	challenge	NOUN
cana-5215	58	15	encountered	encounter	VERB
cana-5215	58	16	by	by	ADP
cana-5215	58	17	telecommunications	telecommunication	NOUN
cana-5215	58	18	firms	firm	NOUN
cana-5215	58	19	in	in	ADP
cana-5215	58	20	relation	relation	NOUN
cana-5215	58	21	to	to	ADP
cana-5215	58	22	adaboost	adaboost	ADV
cana-5215	58	23	.	.	PUNCT
cana-5215	59	1	two	two	NUM
cana-5215	59	2	standard	standard	ADJ
cana-5215	59	3	datasets	dataset	NOUN
cana-5215	59	4	,	,	PUNCT
cana-5215	59	5	orange	orange	PROPN
cana-5215	59	6	telecom	telecom	PROPN
cana-5215	59	7	and	and	CCONJ
cana-5215	59	8	cell2cell	cell2cell	PROPN
cana-5215	59	9	,	,	PUNCT
cana-5215	59	10	confirmed	confirm	VERB
cana-5215	59	11	the	the	DET
cana-5215	59	12	sequence	sequence	NOUN
cana-5215	59	13	with	with	ADP
cana-5215	59	14	accuracies	accuracy	NOUN
cana-5215	59	15	of	of	ADP
cana-5215	59	16	89	89	NUM
cana-5215	59	17	%	%	NOUN
cana-5215	59	18	and	and	CCONJ
cana-5215	59	19	63	63	NUM
cana-5215	59	20	%	%	NOUN
cana-5215	59	21	,	,	PUNCT
cana-5215	59	22	respectively	respectively	ADV
cana-5215	59	23	.	.	PUNCT
cana-5215	60	1	in	in	ADP
cana-5215	60	2	[	[	X
cana-5215	60	3	10	10	NUM
cana-5215	60	4	]	]	PUNCT
cana-5215	60	5	they	they	PRON
cana-5215	60	6	conducted	conduct	VERB
cana-5215	60	7	the	the	DET
cana-5215	60	8	analysis	analysis	NOUN
cana-5215	60	9	of	of	ADP
cana-5215	60	10	client	client	NOUN
cana-5215	60	11	attrition	attrition	NOUN
cana-5215	60	12	using	use	VERB
cana-5215	60	13	a	a	DET
cana-5215	60	14	big	big	ADJ
cana-5215	60	15	data	data	NOUN
cana-5215	60	16	display	display	NOUN
cana-5215	60	17	place	place	NOUN
cana-5215	60	18	.	.	PUNCT
cana-5215	61	1	the	the	DET
cana-5215	61	2	assistants	assistant	NOUN
cana-5215	61	3	aimed	aim	VERB
cana-5215	61	4	to	to	PART
cana-5215	61	5	validate	validate	VERB
cana-5215	61	6	that	that	DET
cana-5215	61	7	extensive	extensive	ADJ
cana-5215	61	8	data	datum	NOUN
cana-5215	61	9	may	may	AUX
cana-5215	61	10	significantly	significantly	ADV
cana-5215	61	11	enhance	enhance	VERB
cana-5215	61	12	churn	churn	NOUN
cana-5215	61	13	forecast	forecast	NOUN
cana-5215	61	14	accuracy	accuracy	NOUN
cana-5215	61	15	,	,	PUNCT
cana-5215	61	16	contingent	contingent	NOUN
cana-5215	61	17	upon	upon	SCONJ
cana-5215	61	18	the	the	DET
cana-5215	61	19	volume	volume	NOUN
cana-5215	61	20	of	of	ADP
cana-5215	61	21	data	datum	NOUN
cana-5215	61	22	available	available	ADJ
cana-5215	61	23	and	and	CCONJ
cana-5215	61	24	the	the	DET
cana-5215	61	25	speed	speed	NOUN
cana-5215	61	26	of	of	ADP
cana-5215	61	27	its	its	PRON
cana-5215	61	28	processing	processing	NOUN
cana-5215	61	29	.	.	PUNCT
cana-5215	62	1	in	in	ADP
cana-5215	62	2	this	this	DET
cana-5215	62	3	investigation	investigation	NOUN
cana-5215	62	4	,	,	PUNCT
cana-5215	62	5	we	we	PRON
cana-5215	62	6	assessed	assess	VERB
cana-5215	62	7	the	the	DET
cana-5215	62	8	random	random	ADJ
cana-5215	62	9	forest	forest	NOUN
cana-5215	62	10	approach	approach	NOUN
cana-5215	62	11	using	use	VERB
cana-5215	62	12	auc	auc	NOUN
cana-5215	62	13	.	.	PUNCT
cana-5215	63	1	iii	iii	X
cana-5215	63	2	.	.	PROPN
cana-5215	63	3	proposed	propose	VERB
cana-5215	63	4	system	system	NOUN
cana-5215	63	5	design	design	VERB
cana-5215	63	6	this	this	DET
cana-5215	63	7	paper	paper	NOUN
cana-5215	63	8	presents	present	VERB
cana-5215	63	9	an	an	DET
cana-5215	63	10	approach	approach	NOUN
cana-5215	63	11	for	for	ADP
cana-5215	63	12	predicting	predict	VERB
cana-5215	63	13	churn	churn	NOUN
cana-5215	63	14	using	use	VERB
cana-5215	63	15	large	large	ADJ
cana-5215	63	16	datasets	dataset	NOUN
cana-5215	63	17	.	.	PUNCT
cana-5215	64	1	the	the	DET
cana-5215	64	2	process	process	NOUN
cana-5215	64	3	begins	begin	VERB
cana-5215	64	4	with	with	ADP
cana-5215	64	5	a	a	DET
cana-5215	64	6	synthetic	synthetic	ADJ
cana-5215	64	7	telecom	telecom	NOUN
cana-5215	64	8	dataset	dataset	NOUN
cana-5215	64	9	containing	contain	VERB
cana-5215	64	10	imbalanced	imbalanced	ADJ
cana-5215	64	11	metadata	metadata	NOUN
cana-5215	64	12	.	.	PUNCT
cana-5215	65	1	it	it	PRON
cana-5215	65	2	involves	involve	VERB
cana-5215	65	3	steps	step	NOUN
cana-5215	65	4	such	such	ADJ
cana-5215	65	5	as	as	ADP
cana-5215	65	6	data	data	NOUN
cana-5215	65	7	preparation	preparation	NOUN
cana-5215	65	8	,	,	PUNCT
cana-5215	65	9	normalization	normalization	NOUN
cana-5215	65	10	,	,	PUNCT
cana-5215	65	11	feature	feature	NOUN
cana-5215	65	12	extraction	extraction	NOUN
cana-5215	65	13	,	,	PUNCT
cana-5215	65	14	and	and	CCONJ
cana-5215	65	15	selection	selection	NOUN
cana-5215	65	16	.	.	PUNCT
cana-5215	66	1	we	we	PRON
cana-5215	66	2	implemented	implement	VERB
cana-5215	66	3	various	various	ADJ
cana-5215	66	4	optimization	optimization	NOUN
cana-5215	66	5	strategies	strategy	NOUN
cana-5215	66	6	during	during	ADP
cana-5215	66	7	the	the	DET
cana-5215	66	8	process	process	NOUN
cana-5215	66	9	to	to	PART
cana-5215	66	10	eliminate	eliminate	VERB
cana-5215	66	11	redundant	redundant	ADJ
cana-5215	66	12	features	feature	NOUN
cana-5215	66	13	that	that	PRON
cana-5215	66	14	could	could	AUX
cana-5215	66	15	potentially	potentially	ADV
cana-5215	66	16	lead	lead	VERB
cana-5215	66	17	to	to	ADP
cana-5215	66	18	increased	increase	VERB
cana-5215	66	19	error	error	NOUN
cana-5215	66	20	rates	rate	NOUN
cana-5215	66	21	.	.	PUNCT
cana-5215	67	1	figure	figure	NOUN
cana-5215	67	2	1	1	NUM
cana-5215	67	3	illustrates	illustrate	VERB
cana-5215	67	4	the	the	DET
cana-5215	67	5	training	training	NOUN
cana-5215	67	6	and	and	CCONJ
cana-5215	67	7	testing	testing	NOUN
cana-5215	67	8	phases	phase	NOUN
cana-5215	67	9	of	of	ADP
cana-5215	67	10	the	the	DET
cana-5215	67	11	proposed	propose	VERB
cana-5215	67	12	system	system	NOUN
cana-5215	67	13	.	.	PUNCT
cana-5215	68	1	the	the	DET
cana-5215	68	2	system	system	NOUN
cana-5215	68	3	reports	report	VERB
cana-5215	68	4	the	the	DET
cana-5215	68	5	classification	classification	NOUN
cana-5215	68	6	accuracy	accuracy	NOUN
cana-5215	68	7	for	for	ADP
cana-5215	68	8	the	the	DET
cana-5215	68	9	entire	entire	ADJ
cana-5215	68	10	dataset	dataset	NOUN
cana-5215	68	11	once	once	ADV
cana-5215	68	12	all	all	DET
cana-5215	68	13	steps	step	NOUN
cana-5215	68	14	are	be	AUX
cana-5215	68	15	complete	complete	ADJ
cana-5215	68	16	.	.	PUNCT
cana-5215	69	1	figure	figure	NOUN
cana-5215	69	2	1	1	NUM
cana-5215	69	3	:	:	PUNCT
cana-5215	69	4	proposed	propose	VERB
cana-5215	69	5	system	system	NOUN
cana-5215	69	6	design	design	NOUN
cana-5215	69	7	communications	communication	NOUN
cana-5215	69	8	on	on	ADP
cana-5215	69	9	applied	apply	VERB
cana-5215	69	10	nonlinear	nonlinear	ADJ
cana-5215	69	11	analysis	analysis	NOUN
cana-5215	69	12	issn	issn	NOUN
cana-5215	69	13	:	:	PUNCT
cana-5215	69	14	1074	1074	NUM
cana-5215	69	15	-	-	PUNCT
cana-5215	69	16	133x	133x	NUM
cana-5215	69	17	vol	vol	VERB
cana-5215	69	18	32	32	NUM
cana-5215	69	19	no	no	NOUN
cana-5215	69	20	.	.	PUNCT
cana-5215	70	1	10s	10	NOUN
cana-5215	70	2	(	(	PUNCT
cana-5215	70	3	2025	2025	NUM
cana-5215	70	4	)	)	PUNCT
cana-5215	70	5	1167	1167	NUM
cana-5215	70	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5215	70	7	implement	implement	VERB
cana-5215	70	8	module	module	NOUN
cana-5215	70	9	data	datum	NOUN
cana-5215	70	10	pre	pre	ADJ
cana-5215	70	11	-	-	NOUN
cana-5215	70	12	processing	processing	ADJ
cana-5215	70	13	:	:	PUNCT
cana-5215	70	14	data	datum	NOUN
cana-5215	70	15	pre	pre	ADJ
cana-5215	70	16	-	-	ADJ
cana-5215	70	17	processing	processing	ADJ
cana-5215	70	18	–	–	PUNCT
cana-5215	70	19	before	before	ADP
cana-5215	70	20	working	work	VERB
cana-5215	70	21	on	on	ADP
cana-5215	70	22	data	datum	NOUN
cana-5215	70	23	it	it	PRON
cana-5215	70	24	’s	’	VERB
cana-5215	70	25	necessary	necessary	ADJ
cana-5215	70	26	to	to	AUX
cana-5215	70	27	pre	pre	VERB
cana-5215	70	28	-	-	VERB
cana-5215	70	29	process	process	VERB
cana-5215	70	30	it	it	PRON
cana-5215	70	31	.	.	PUNCT
cana-5215	71	1	data	datum	NOUN
cana-5215	71	2	may	may	AUX
cana-5215	71	3	contain	contain	VERB
cana-5215	71	4	missing	missing	ADJ
cana-5215	71	5	values	value	NOUN
cana-5215	71	6	that	that	PRON
cana-5215	71	7	leads	lead	VERB
cana-5215	71	8	to	to	ADP
cana-5215	71	9	poor	poor	ADJ
cana-5215	71	10	result	result	NOUN
cana-5215	71	11	to	to	PART
cana-5215	71	12	avoid	avoid	VERB
cana-5215	71	13	this	this	PRON
cana-5215	71	14	,	,	PUNCT
cana-5215	71	15	pre	pre	ADJ
cana-5215	71	16	-	-	ADJ
cana-5215	71	17	processing	processing	NOUN
cana-5215	71	18	is	be	AUX
cana-5215	71	19	necessary	necessary	ADJ
cana-5215	71	20	.	.	PUNCT
cana-5215	72	1	filtering	filtering	NOUN
cana-5215	72	2	and	and	CCONJ
cana-5215	72	3	noise	noise	NOUN
cana-5215	72	4	removal	removal	NOUN
cana-5215	72	5	:	:	PUNCT
cana-5215	72	6	in	in	ADP
cana-5215	72	7	filtering	filter	VERB
cana-5215	72	8	process	process	NOUN
cana-5215	72	9	unwanted	unwanted	ADJ
cana-5215	72	10	and	and	CCONJ
cana-5215	72	11	unnecessary	unnecessary	ADJ
cana-5215	72	12	features	feature	NOUN
cana-5215	72	13	are	be	AUX
cana-5215	72	14	removed	remove	VERB
cana-5215	72	15	and	and	CCONJ
cana-5215	72	16	only	only	ADV
cana-5215	72	17	keep	keep	VERB
cana-5215	72	18	useful	useful	ADJ
cana-5215	72	19	features	feature	NOUN
cana-5215	72	20	.	.	PUNCT
cana-5215	73	1	in	in	ADP
cana-5215	73	2	noise	noise	NOUN
cana-5215	73	3	removal	removal	NOUN
cana-5215	73	4	,	,	PUNCT
cana-5215	73	5	null	null	ADJ
cana-5215	73	6	values	value	NOUN
cana-5215	73	7	,	,	PUNCT
cana-5215	73	8	space	space	NOUN
cana-5215	73	9	,	,	PUNCT
cana-5215	73	10	missing	miss	VERB
cana-5215	73	11	characters	character	NOUN
cana-5215	73	12	are	be	AUX
cana-5215	73	13	removed	remove	VERB
cana-5215	73	14	.	.	PUNCT
cana-5215	74	1	feature	feature	NOUN
cana-5215	74	2	extraction	extraction	NOUN
cana-5215	74	3	:	:	PUNCT
cana-5215	74	4	feature	feature	NOUN
cana-5215	74	5	extractions	extraction	NOUN
cana-5215	74	6	remove	remove	VERB
cana-5215	74	7	the	the	DET
cana-5215	74	8	unwanted	unwanted	ADJ
cana-5215	74	9	data	datum	NOUN
cana-5215	74	10	from	from	ADP
cana-5215	74	11	the	the	DET
cana-5215	74	12	data	datum	NOUN
cana-5215	74	13	set	set	VERB
cana-5215	74	14	and	and	CCONJ
cana-5215	74	15	keep	keep	VERB
cana-5215	74	16	only	only	ADV
cana-5215	74	17	accurate	accurate	ADJ
cana-5215	74	18	and	and	CCONJ
cana-5215	74	19	complete	complete	ADJ
cana-5215	74	20	data	datum	NOUN
cana-5215	74	21	that	that	PRON
cana-5215	74	22	should	should	AUX
cana-5215	74	23	be	be	AUX
cana-5215	74	24	processed	process	VERB
cana-5215	74	25	.	.	PUNCT
cana-5215	75	1	data	datum	NOUN
cana-5215	75	2	training	training	NOUN
cana-5215	75	3	:	:	PUNCT
cana-5215	75	4	we	we	PRON
cana-5215	75	5	gather	gather	VERB
cana-5215	75	6	both	both	CCONJ
cana-5215	75	7	synthetic	synthetic	ADJ
cana-5215	75	8	and	and	CCONJ
cana-5215	75	9	real	real	ADJ
cana-5215	75	10	-	-	PUNCT
cana-5215	75	11	time	time	NOUN
cana-5215	75	12	churn	churn	NOUN
cana-5215	75	13	data	datum	NOUN
cana-5215	75	14	and	and	CCONJ
cana-5215	75	15	utilize	utilize	VERB
cana-5215	75	16	it	it	PRON
cana-5215	75	17	to	to	PART
cana-5215	75	18	train	train	VERB
cana-5215	75	19	machine	machine	NOUN
cana-5215	75	20	learning	learn	VERB
cana-5215	75	21	classifiers	classifier	NOUN
cana-5215	75	22	effectively	effectively	ADV
cana-5215	75	23	.	.	PUNCT
cana-5215	76	1	testing	test	VERB
cana-5215	76	2	with	with	ADP
cana-5215	76	3	machine	machine	NOUN
cana-5215	76	4	learning	learning	NOUN
cana-5215	76	5	:	:	PUNCT
cana-5215	76	6	we	we	PRON
cana-5215	76	7	use	use	VERB
cana-5215	76	8	machine	machine	NOUN
cana-5215	76	9	learning	learn	VERB
cana-5215	76	10	classifiers	classifier	NOUN
cana-5215	76	11	and	and	CCONJ
cana-5215	76	12	a	a	DET
cana-5215	76	13	weight	weight	NOUN
cana-5215	76	14	calculation	calculation	NOUN
cana-5215	76	15	mechanism	mechanism	NOUN
cana-5215	76	16	that	that	PRON
cana-5215	76	17	are	be	AUX
cana-5215	76	18	designed	design	VERB
cana-5215	76	19	to	to	PART
cana-5215	76	20	work	work	VERB
cana-5215	76	21	well	well	ADV
cana-5215	76	22	with	with	ADP
cana-5215	76	23	both	both	CCONJ
cana-5215	76	24	real	real	ADJ
cana-5215	76	25	-	-	PUNCT
cana-5215	76	26	time	time	NOUN
cana-5215	76	27	and	and	CCONJ
cana-5215	76	28	fake	fake	ADJ
cana-5215	76	29	input	input	NOUN
cana-5215	76	30	data	datum	NOUN
cana-5215	76	31	to	to	PART
cana-5215	76	32	predict	predict	VERB
cana-5215	76	33	churn	churn	NOUN
cana-5215	76	34	data	datum	NOUN
cana-5215	76	35	.	.	PUNCT
cana-5215	77	1	analysis	analysis	NOUN
cana-5215	77	2	:	:	PUNCT
cana-5215	77	3	we	we	PRON
cana-5215	77	4	showcase	showcase	VERB
cana-5215	77	5	the	the	DET
cana-5215	77	6	accuracy	accuracy	NOUN
cana-5215	77	7	of	of	ADP
cana-5215	77	8	the	the	DET
cana-5215	77	9	proposed	propose	VERB
cana-5215	77	10	system	system	NOUN
cana-5215	77	11	in	in	ADP
cana-5215	77	12	addition	addition	NOUN
cana-5215	77	13	compare	compare	VERB
cana-5215	77	14	its	its	PRON
cana-5215	77	15	performance	performance	NOUN
cana-5215	77	16	against	against	ADP
cana-5215	77	17	other	other	ADJ
cana-5215	77	18	existing	exist	VERB
cana-5215	77	19	systems	system	NOUN
cana-5215	77	20	.	.	PUNCT
cana-5215	78	1	iv	iv	X
cana-5215	78	2	.	.	PROPN
cana-5215	78	3	result	result	NOUN
cana-5215	78	4	and	and	CCONJ
cana-5215	78	5	analysis	analysis	NOUN
cana-5215	78	6	we	we	PRON
cana-5215	78	7	carried	carry	VERB
cana-5215	78	8	out	out	ADP
cana-5215	78	9	the	the	DET
cana-5215	78	10	implementation	implementation	NOUN
cana-5215	78	11	in	in	ADP
cana-5215	78	12	an	an	DET
cana-5215	78	13	open	open	ADJ
cana-5215	78	14	-	-	PUNCT
cana-5215	78	15	source	source	NOUN
cana-5215	78	16	java	java	PROPN
cana-5215	78	17	environment	environment	PROPN
cana-5215	78	18	.	.	PUNCT
cana-5215	79	1	intel(r	intel(r	PROPN
cana-5215	79	2	)	)	PUNCT
cana-5215	79	3	core(tm	core(tm	NOUN
cana-5215	79	4	)	)	PUNCT
cana-5215	79	5	i3	i3	NOUN
cana-5215	79	6	-	-	PUNCT
cana-5215	79	7	2328	2328	NUM
cana-5215	79	8	m	m	NOUN
cana-5215	79	9	cpu	cpu	NOUN
cana-5215	79	10	@	@	ADP
cana-5215	79	11	2.20ghz	2.20ghz	NUM
cana-5215	79	12	2.20	2.20	NUM
cana-5215	79	13	ghz	ghz	NOUN
cana-5215	79	14	the	the	DET
cana-5215	79	15	system	system	NOUN
cana-5215	79	16	's	's	PART
cana-5215	79	17	java	java	NOUN
cana-5215	79	18	3	3	NUM
cana-5215	79	19	-	-	PUNCT
cana-5215	79	20	tier	tier	NOUN
cana-5215	79	21	analytics	analytic	NOUN
cana-5215	79	22	platform	platform	NOUN
cana-5215	79	23	.	.	PUNCT
cana-5215	80	1	we	we	PRON
cana-5215	80	2	used	use	VERB
cana-5215	80	3	the	the	DET
cana-5215	80	4	telecom	telecom	NOUN
cana-5215	80	5	sector	sector	NOUN
cana-5215	80	6	dataset	dataset	VERB
cana-5215	80	7	to	to	PART
cana-5215	80	8	classify	classify	VERB
cana-5215	80	9	emails	email	NOUN
cana-5215	80	10	as	as	ADP
cana-5215	80	11	spam	spam	NOUN
cana-5215	80	12	or	or	CCONJ
cana-5215	80	13	non	non	ADJ
cana-5215	80	14	-	-	NOUN
cana-5215	80	15	spam	spam	NOUN
cana-5215	80	16	.	.	PUNCT
cana-5215	81	1	we	we	PRON
cana-5215	81	2	conducted	conduct	VERB
cana-5215	81	3	an	an	DET
cana-5215	81	4	experimental	experimental	ADJ
cana-5215	81	5	analysis	analysis	NOUN
cana-5215	81	6	using	use	VERB
cana-5215	81	7	an	an	DET
cana-5215	81	8	ensemble	ensemble	ADJ
cana-5215	81	9	machine	machine	NOUN
cana-5215	81	10	learning	learn	VERB
cana-5215	81	11	approach	approach	NOUN
cana-5215	81	12	to	to	PART
cana-5215	81	13	validate	validate	VERB
cana-5215	81	14	the	the	DET
cana-5215	81	15	results	result	NOUN
cana-5215	81	16	.	.	PUNCT
cana-5215	82	1	figure	figure	VERB
cana-5215	82	2	2	2	NUM
cana-5215	82	3	:	:	PUNCT
cana-5215	82	4	accuracy	accuracy	NOUN
cana-5215	82	5	of	of	ADP
cana-5215	82	6	system	system	NOUN
cana-5215	82	7	analysis	analysis	NOUN
cana-5215	82	8	figure	figure	NOUN
cana-5215	82	9	2	2	NUM
cana-5215	82	10	depicts	depict	VERB
cana-5215	82	11	the	the	DET
cana-5215	82	12	categorization	categorization	NOUN
cana-5215	82	13	accuracy	accuracy	NOUN
cana-5215	82	14	of	of	ADP
cana-5215	82	15	the	the	DET
cana-5215	82	16	proposed	propose	VERB
cana-5215	82	17	system	system	NOUN
cana-5215	82	18	in	in	ADP
cana-5215	82	19	comparison	comparison	NOUN
cana-5215	82	20	to	to	ADP
cana-5215	82	21	many	many	ADJ
cana-5215	82	22	leading	leading	ADJ
cana-5215	82	23	methodologies	methodology	NOUN
cana-5215	82	24	.	.	PUNCT
cana-5215	83	1	the	the	DET
cana-5215	83	2	paper	paper	NOUN
cana-5215	83	3	demonstrates	demonstrate	VERB
cana-5215	83	4	the	the	DET
cana-5215	83	5	dataset	dataset	NOUN
cana-5215	83	6	's	's	PART
cana-5215	83	7	ability	ability	NOUN
cana-5215	83	8	to	to	PART
cana-5215	83	9	identify	identify	VERB
cana-5215	83	10	churn	churn	NOUN
cana-5215	83	11	and	and	CCONJ
cana-5215	83	12	non	non	ADJ
cana-5215	83	13	-	-	ADJ
cana-5215	83	14	churn	churn	ADJ
cana-5215	83	15	situations	situation	NOUN
cana-5215	83	16	using	use	VERB
cana-5215	83	17	several	several	ADJ
cana-5215	83	18	deep	deep	ADJ
cana-5215	83	19	learning	learning	NOUN
cana-5215	83	20	and	and	CCONJ
cana-5215	83	21	machine	machine	NOUN
cana-5215	83	22	learning	learn	VERB
cana-5215	83	23	classifiers	classifier	NOUN
cana-5215	83	24	.	.	PUNCT
cana-5215	84	1	the	the	DET
cana-5215	84	2	suggested	suggest	VERB
cana-5215	84	3	model	model	NOUN
cana-5215	84	4	detects	detect	NOUN
cana-5215	84	5	whether	whether	SCONJ
cana-5215	84	6	or	or	CCONJ
cana-5215	84	7	not	not	PART
cana-5215	84	8	churn	churn	VERB
cana-5215	84	9	data	datum	NOUN
cana-5215	84	10	is	be	AUX
cana-5215	84	11	malicious	malicious	ADJ
cana-5215	84	12	with	with	ADP
cana-5215	84	13	a	a	DET
cana-5215	84	14	high	high	ADJ
cana-5215	84	15	accuracy	accuracy	NOUN
cana-5215	84	16	rate	rate	NOUN
cana-5215	84	17	of	of	ADP
cana-5215	84	18	up	up	ADP
cana-5215	84	19	to	to	PART
cana-5215	84	20	95.40	95.40	NUM
cana-5215	84	21	%	%	NOUN
cana-5215	84	22	.	.	PUNCT
cana-5215	85	1	communications	communication	NOUN
cana-5215	85	2	on	on	ADP
cana-5215	85	3	applied	apply	VERB
cana-5215	85	4	nonlinear	nonlinear	ADJ
cana-5215	85	5	analysis	analysis	NOUN
cana-5215	85	6	issn	issn	NOUN
cana-5215	85	7	:	:	PUNCT
cana-5215	85	8	1074	1074	NUM
cana-5215	85	9	-	-	PUNCT
cana-5215	85	10	133x	133x	NUM
cana-5215	85	11	vol	vol	VERB
cana-5215	85	12	32	32	NUM
cana-5215	85	13	no	no	NOUN
cana-5215	85	14	.	.	PUNCT
cana-5215	86	1	10s	10	NOUN
cana-5215	86	2	(	(	PUNCT
cana-5215	86	3	2025	2025	NUM
cana-5215	86	4	)	)	PUNCT
cana-5215	86	5	1168	1168	NUM
cana-5215	86	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5215	87	1	v.	v.	ADP
cana-5215	87	2	conclusion	conclusion	NOUN
cana-5215	87	3	this	this	DET
cana-5215	87	4	research	research	NOUN
cana-5215	87	5	mainly	mainly	ADV
cana-5215	87	6	aims	aim	VERB
cana-5215	87	7	to	to	PART
cana-5215	87	8	discover	discover	VERB
cana-5215	87	9	and	and	CCONJ
cana-5215	87	10	recognize	recognize	VERB
cana-5215	87	11	churned	churn	VERB
cana-5215	87	12	customers	customer	NOUN
cana-5215	87	13	among	among	ADP
cana-5215	87	14	extensive	extensive	ADJ
cana-5215	87	15	telecom	telecom	NOUN
cana-5215	87	16	databases	database	NOUN
cana-5215	87	17	.	.	PUNCT
cana-5215	88	1	the	the	DET
cana-5215	88	2	discourse	discourse	NOUN
cana-5215	88	3	emphasizes	emphasize	VERB
cana-5215	88	4	cutting	cut	VERB
cana-5215	88	5	-	-	PUNCT
cana-5215	88	6	edge	edge	NOUN
cana-5215	88	7	churn	churn	NOUN
cana-5215	88	8	prediction	prediction	NOUN
cana-5215	88	9	technologies	technology	NOUN
cana-5215	88	10	created	create	VERB
cana-5215	88	11	by	by	ADP
cana-5215	88	12	many	many	ADJ
cana-5215	88	13	academics	academic	NOUN
cana-5215	88	14	.	.	PUNCT
cana-5215	89	1	nevertheless	nevertheless	ADV
cana-5215	89	2	,	,	PUNCT
cana-5215	89	3	several	several	ADJ
cana-5215	89	4	systems	system	NOUN
cana-5215	89	5	continue	continue	VERB
cana-5215	89	6	to	to	PART
cana-5215	89	7	have	have	VERB
cana-5215	89	8	difficulties	difficulty	NOUN
cana-5215	89	9	in	in	ADP
cana-5215	89	10	digesting	digest	VERB
cana-5215	89	11	linguistic	linguistic	ADJ
cana-5215	89	12	input	input	NOUN
cana-5215	89	13	,	,	PUNCT
cana-5215	89	14	resulting	result	VERB
cana-5215	89	15	in	in	ADP
cana-5215	89	16	elevated	elevate	VERB
cana-5215	89	17	error	error	NOUN
cana-5215	89	18	rates	rate	NOUN
cana-5215	89	19	during	during	ADP
cana-5215	89	20	execution	execution	NOUN
cana-5215	89	21	.	.	PUNCT
cana-5215	90	1	to	to	PART
cana-5215	90	2	resolve	resolve	VERB
cana-5215	90	3	these	these	DET
cana-5215	90	4	challenges	challenge	NOUN
cana-5215	90	5	,	,	PUNCT
cana-5215	90	6	several	several	ADJ
cana-5215	90	7	academics	academic	NOUN
cana-5215	90	8	have	have	AUX
cana-5215	90	9	suggested	suggest	VERB
cana-5215	90	10	the	the	DET
cana-5215	90	11	amalgamation	amalgamation	NOUN
cana-5215	90	12	of	of	ADP
cana-5215	90	13	natural	natural	ADJ
cana-5215	90	14	language	language	NOUN
cana-5215	90	15	processing	processing	NOUN
cana-5215	90	16	(	(	PUNCT
cana-5215	90	17	nlp	nlp	NOUN
cana-5215	90	18	)	)	PUNCT
cana-5215	90	19	methodologies	methodology	NOUN
cana-5215	90	20	with	with	ADP
cana-5215	90	21	machine	machine	NOUN
cana-5215	90	22	learning	learning	NOUN
cana-5215	90	23	methods	method	NOUN
cana-5215	90	24	.	.	PUNCT
cana-5215	91	1	this	this	DET
cana-5215	91	2	combination	combination	NOUN
cana-5215	91	3	may	may	AUX
cana-5215	91	4	improve	improve	VERB
cana-5215	91	5	data	data	NOUN
cana-5215	91	6	organization	organization	NOUN
cana-5215	91	7	and	and	CCONJ
cana-5215	91	8	overall	overall	ADJ
cana-5215	91	9	efficiency	efficiency	NOUN
cana-5215	91	10	.	.	PUNCT
cana-5215	92	1	when	when	SCONJ
cana-5215	92	2	using	use	VERB
cana-5215	92	3	machine	machine	NOUN
cana-5215	92	4	learning	learn	VERB
cana-5215	92	5	algorithms	algorithm	NOUN
cana-5215	92	6	with	with	ADP
cana-5215	92	7	these	these	DET
cana-5215	92	8	methodologies	methodology	NOUN
cana-5215	92	9	,	,	PUNCT
cana-5215	92	10	it	it	PRON
cana-5215	92	11	is	be	AUX
cana-5215	92	12	crucial	crucial	ADJ
cana-5215	92	13	to	to	PART
cana-5215	92	14	ensure	ensure	VERB
cana-5215	92	15	the	the	DET
cana-5215	92	16	accuracy	accuracy	NOUN
cana-5215	92	17	of	of	ADP
cana-5215	92	18	the	the	DET
cana-5215	92	19	whole	whole	ADJ
cana-5215	92	20	dataset	dataset	NOUN
cana-5215	92	21	using	use	VERB
cana-5215	92	22	even	even	ADV
cana-5215	92	23	sampling	sample	VERB
cana-5215	92	24	techniques	technique	NOUN
cana-5215	92	25	.	.	PUNCT
cana-5215	93	1	this	this	PRON
cana-5215	93	2	will	will	AUX
cana-5215	93	3	mitigate	mitigate	VERB
cana-5215	93	4	issues	issue	NOUN
cana-5215	93	5	related	relate	VERB
cana-5215	93	6	to	to	ADP
cana-5215	93	7	data	datum	NOUN
cana-5215	93	8	imbalance	imbalance	NOUN
cana-5215	93	9	and	and	CCONJ
cana-5215	93	10	ensure	ensure	VERB
cana-5215	93	11	the	the	DET
cana-5215	93	12	reliability	reliability	NOUN
cana-5215	93	13	of	of	ADP
cana-5215	93	14	the	the	DET
cana-5215	93	15	predictive	predictive	ADJ
cana-5215	93	16	data	datum	NOUN
cana-5215	93	17	flow	flow	NOUN
cana-5215	93	18	.	.	PUNCT
cana-5215	94	1	references	reference	NOUN
cana-5215	94	2	[	[	X
cana-5215	94	3	1	1	NUM
cana-5215	94	4	]	]	PUNCT
cana-5215	94	5	karahoca	karahoca	PROPN
cana-5215	94	6	,	,	PUNCT
cana-5215	94	7	adem	adem	PROPN
cana-5215	94	8	,	,	PUNCT
cana-5215	94	9	and	and	CCONJ
cana-5215	94	10	dilek	dilek	PROPN
cana-5215	94	11	karahoca	karahoca	PROPN
cana-5215	94	12	.	.	PUNCT
cana-5215	95	1	"	"	PUNCT
cana-5215	95	2	gsm	gsm	ADJ
cana-5215	95	3	churn	churn	NOUN
cana-5215	95	4	management	management	NOUN
cana-5215	95	5	by	by	ADP
cana-5215	95	6	using	use	VERB
cana-5215	95	7	fuzzy	fuzzy	ADJ
cana-5215	95	8	c	c	NOUN
cana-5215	95	9	-	-	PUNCT
cana-5215	95	10	means	means	NOUN
cana-5215	95	11	clustering	clustering	NOUN
cana-5215	95	12	and	and	CCONJ
cana-5215	95	13	adaptive	adaptive	ADJ
cana-5215	95	14	neuro	neuro	PROPN
cana-5215	95	15	fuzzy	fuzzy	ADJ
cana-5215	95	16	inference	inference	NOUN
cana-5215	95	17	system	system	NOUN
cana-5215	95	18	.	.	PUNCT
cana-5215	95	19	"	"	PUNCT
cana-5215	96	1	expert	expert	ADJ
cana-5215	96	2	systems	system	NOUN
cana-5215	96	3	with	with	ADP
cana-5215	96	4	applications	application	NOUN
cana-5215	96	5	38.3	38.3	NUM
cana-5215	96	6	(	(	PUNCT
cana-5215	96	7	2011	2011	NUM
cana-5215	96	8	):	):	PUNCT
cana-5215	96	9	1814	1814	NUM
cana-5215	96	10	-	-	SYM
cana-5215	96	11	1822	1822	NUM
cana-5215	96	12	.	.	PUNCT
cana-5215	97	1	[	[	X
cana-5215	97	2	2	2	NUM
cana-5215	97	3	]	]	X
cana-5215	97	4	kirui	kirui	X
cana-5215	97	5	,	,	PUNCT
cana-5215	97	6	clement	clement	PROPN
cana-5215	97	7	,	,	PUNCT
cana-5215	97	8	et	et	PROPN
cana-5215	97	9	al	al	PROPN
cana-5215	97	10	.	.	PUNCT
cana-5215	97	11	"	"	PUNCT
cana-5215	97	12	predicting	predict	VERB
cana-5215	97	13	customer	customer	NOUN
cana-5215	97	14	churn	churn	NOUN
cana-5215	97	15	in	in	ADP
cana-5215	97	16	mobile	mobile	ADJ
cana-5215	97	17	telephony	telephony	NOUN
cana-5215	97	18	industry	industry	NOUN
cana-5215	97	19	using	use	VERB
cana-5215	97	20	probabilistic	probabilistic	ADJ
cana-5215	97	21	classifiers	classifier	NOUN
cana-5215	97	22	in	in	ADP
cana-5215	97	23	data	datum	NOUN
cana-5215	97	24	mining	mining	NOUN
cana-5215	97	25	.	.	PUNCT
cana-5215	97	26	"	"	PUNCT
cana-5215	98	1	international	international	ADJ
cana-5215	98	2	journal	journal	NOUN
cana-5215	98	3	of	of	ADP
cana-5215	98	4	computer	computer	NOUN
cana-5215	98	5	science	science	NOUN
cana-5215	98	6	issues	issue	NOUN
cana-5215	98	7	(	(	PUNCT
cana-5215	98	8	ijcsi	ijcsi	NOUN
cana-5215	98	9	)	)	PUNCT
cana-5215	98	10	10.2	10.2	NUM
cana-5215	98	11	part	part	NOUN
cana-5215	98	12	1	1	NUM
cana-5215	98	13	(	(	PUNCT
cana-5215	98	14	2013	2013	NUM
cana-5215	98	15	):	):	PUNCT
cana-5215	98	16	165	165	NUM
cana-5215	98	17	.	.	PUNCT
cana-5215	99	1	[	[	X
cana-5215	99	2	3	3	NUM
cana-5215	99	3	]	]	PUNCT
cana-5215	99	4	ballings	balling	NOUN
cana-5215	99	5	,	,	PUNCT
cana-5215	99	6	michel	michel	PROPN
cana-5215	99	7	,	,	PUNCT
cana-5215	99	8	and	and	CCONJ
cana-5215	99	9	dirk	dirk	PROPN
cana-5215	99	10	van	van	PROPN
cana-5215	99	11	den	den	PROPN
cana-5215	99	12	poel	poel	NOUN
cana-5215	99	13	.	.	PUNCT
cana-5215	100	1	"	"	PUNCT
cana-5215	100	2	customer	customer	NOUN
cana-5215	100	3	event	event	NOUN
cana-5215	100	4	history	history	NOUN
cana-5215	100	5	for	for	ADP
cana-5215	100	6	churn	churn	NOUN
cana-5215	100	7	prediction	prediction	NOUN
cana-5215	100	8	:	:	PUNCT
cana-5215	100	9	how	how	SCONJ
cana-5215	100	10	long	long	ADV
cana-5215	100	11	is	be	AUX
cana-5215	100	12	long	long	ADV
cana-5215	100	13	enough	enough	ADV
cana-5215	100	14	?	?	PUNCT
cana-5215	100	15	.	.	PUNCT
cana-5215	100	16	"	"	PUNCT
cana-5215	101	1	expert	expert	NOUN
cana-5215	101	2	systems	system	NOUN
cana-5215	101	3	with	with	ADP
cana-5215	101	4	applications	application	NOUN
cana-5215	101	5	39.18	39.18	NUM
cana-5215	101	6	(	(	PUNCT
cana-5215	101	7	2012	2012	NUM
cana-5215	101	8	):	):	PUNCT
cana-5215	101	9	13517	13517	NUM
cana-5215	101	10	-	-	SYM
cana-5215	101	11	13522	13522	NUM
cana-5215	101	12	.	.	PUNCT
cana-5215	102	1	[	[	X
cana-5215	102	2	4	4	NUM
cana-5215	102	3	]	]	X
cana-5215	102	4	ismail	ismail	PROPN
cana-5215	102	5	,	,	PUNCT
cana-5215	102	6	mohammad	mohammad	PROPN
cana-5215	102	7	ridwan	ridwan	PROPN
cana-5215	102	8	,	,	PUNCT
cana-5215	102	9	et	et	PROPN
cana-5215	102	10	al	al	PROPN
cana-5215	102	11	.	.	PUNCT
cana-5215	103	1	"	"	PUNCT
cana-5215	103	2	a	a	DET
cana-5215	103	3	multi	multi	ADJ
cana-5215	103	4	-	-	ADJ
cana-5215	103	5	layer	layer	ADJ
cana-5215	103	6	perceptron	perceptron	NOUN
cana-5215	103	7	approach	approach	NOUN
cana-5215	103	8	for	for	ADP
cana-5215	103	9	customer	customer	NOUN
cana-5215	103	10	churn	churn	NOUN
cana-5215	103	11	prediction	prediction	NOUN
cana-5215	103	12	.	.	PUNCT
cana-5215	103	13	"	"	PUNCT
cana-5215	104	1	international	international	ADJ
cana-5215	104	2	journal	journal	NOUN
cana-5215	104	3	of	of	ADP
cana-5215	104	4	multimedia	multimedia	NOUN
cana-5215	104	5	and	and	CCONJ
cana-5215	104	6	ubiquitous	ubiquitous	ADJ
cana-5215	104	7	engineering	engineering	NOUN
cana-5215	104	8	10.7	10.7	NUM
cana-5215	104	9	(	(	PUNCT
cana-5215	104	10	2015	2015	NUM
cana-5215	104	11	):	):	PUNCT
cana-5215	104	12	213222	213222	NUM
cana-5215	104	13	.	.	PUNCT
cana-5215	105	1	[	[	X
cana-5215	105	2	5	5	NUM
cana-5215	105	3	]	]	SYM
cana-5215	105	4	lee	lee	PROPN
cana-5215	105	5	,	,	PUNCT
cana-5215	105	6	hyeseon	hyeseon	NOUN
cana-5215	105	7	,	,	PUNCT
cana-5215	105	8	et	et	PROPN
cana-5215	105	9	al	al	PROPN
cana-5215	105	10	.	.	PUNCT
cana-5215	106	1	"	"	PUNCT
cana-5215	106	2	mining	mine	VERB
cana-5215	106	3	churning	churn	VERB
cana-5215	106	4	behaviors	behavior	NOUN
cana-5215	106	5	and	and	CCONJ
cana-5215	106	6	developing	develop	VERB
cana-5215	106	7	retention	retention	NOUN
cana-5215	106	8	strategies	strategy	NOUN
cana-5215	106	9	based	base	VERB
cana-5215	106	10	on	on	ADP
cana-5215	106	11	a	a	DET
cana-5215	106	12	partial	partial	ADJ
cana-5215	106	13	least	least	ADJ
cana-5215	106	14	squares	square	NOUN
cana-5215	106	15	(	(	PUNCT
cana-5215	106	16	pls	pls	INTJ
cana-5215	106	17	)	)	PUNCT
cana-5215	106	18	model	model	NOUN
cana-5215	106	19	.	.	PUNCT
cana-5215	106	20	"	"	PUNCT
cana-5215	107	1	decision	decision	NOUN
cana-5215	107	2	support	support	NOUN
cana-5215	107	3	systems	system	NOUN
cana-5215	107	4	52.1	52.1	NUM
cana-5215	107	5	(	(	PUNCT
cana-5215	107	6	2011	2011	NUM
cana-5215	107	7	):	):	PUNCT
cana-5215	107	8	207	207	NUM
cana-5215	107	9	-	-	SYM
cana-5215	107	10	216	216	NUM
cana-5215	107	11	.	.	PUNCT
cana-5215	108	1	[	[	X
cana-5215	108	2	6	6	NUM
cana-5215	108	3	]	]	X
cana-5215	108	4	burez	burez	PROPN
cana-5215	108	5	d	d	PROPN
cana-5215	108	6	,	,	PUNCT
cana-5215	108	7	den	den	X
cana-5215	108	8	poel	poel	NOUN
cana-5215	108	9	v.	v.	ADP
cana-5215	108	10	handling	handle	VERB
cana-5215	108	11	class	class	NOUN
cana-5215	108	12	imbalance	imbalance	NOUN
cana-5215	108	13	in	in	ADP
cana-5215	108	14	customer	customer	NOUN
cana-5215	108	15	churn	churn	NOUN
cana-5215	108	16	prediction	prediction	NOUN
cana-5215	108	17	.	.	PUNCT
cana-5215	109	1	expert	expert	NOUN
cana-5215	109	2	syst	syst	PROPN
cana-5215	109	3	appl	appl	PROPN
cana-5215	109	4	.	.	PUNCT
cana-5215	110	1	2009;36(3):4626–36	2009;36(3):4626–36	PROPN
cana-5215	110	2	.	.	PUNCT
cana-5215	111	1	[	[	X
cana-5215	111	2	7	7	X
cana-5215	111	3	]	]	X
cana-5215	111	4	brandusoiu	brandusoiu	NOUN
cana-5215	111	5	i	i	PRON
cana-5215	111	6	,	,	PUNCT
cana-5215	111	7	toderean	toderean	PROPN
cana-5215	111	8	g	g	PROPN
cana-5215	111	9	,	,	PUNCT
cana-5215	111	10	ha	ha	INTJ
cana-5215	111	11	b.	b.	PROPN
cana-5215	111	12	methods	method	NOUN
cana-5215	111	13	for	for	ADP
cana-5215	111	14	churn	churn	NOUN
cana-5215	111	15	prediction	prediction	NOUN
cana-5215	111	16	in	in	ADP
cana-5215	111	17	the	the	DET
cana-5215	111	18	prepaid	prepay	VERB
cana-5215	111	19	mobile	mobile	ADJ
cana-5215	111	20	telecommunications	telecommunication	NOUN
cana-5215	111	21	industry	industry	NOUN
cana-5215	111	22	.	.	PUNCT
cana-5215	112	1	in	in	ADP
cana-5215	112	2	:	:	PUNCT
cana-5215	112	3	international	international	ADJ
cana-5215	112	4	conference	conference	NOUN
cana-5215	112	5	on	on	ADP
cana-5215	112	6	communications	communication	NOUN
cana-5215	112	7	.	.	PUNCT
cana-5215	113	1	2016	2016	NUM
cana-5215	113	2	.	.	PUNCT
cana-5215	114	1	p.	p.	NOUN
cana-5215	114	2	97–100	97–100	PROPN
cana-5215	114	3	.	.	PUNCT
cana-5215	115	1	[	[	X
cana-5215	115	2	8	8	NUM
cana-5215	115	3	]	]	PUNCT
cana-5215	115	4	he	he	PRON
cana-5215	115	5	y	y	PROPN
cana-5215	115	6	,	,	PUNCT
cana-5215	115	7	he	he	PRON
cana-5215	115	8	z	z	PROPN
cana-5215	115	9	,	,	PUNCT
cana-5215	115	10	zhang	zhang	PROPN
cana-5215	115	11	d.	d.	PROPN
cana-5215	115	12	a	a	DET
cana-5215	115	13	study	study	NOUN
cana-5215	115	14	on	on	ADP
cana-5215	115	15	prediction	prediction	NOUN
cana-5215	115	16	of	of	ADP
cana-5215	115	17	customer	customer	NOUN
cana-5215	115	18	churn	churn	NOUN
cana-5215	115	19	in	in	ADP
cana-5215	115	20	fixed	fix	VERB
cana-5215	115	21	communication	communication	NOUN
cana-5215	115	22	network	network	NOUN
cana-5215	115	23	based	base	VERB
cana-5215	115	24	on	on	ADP
cana-5215	115	25	data	datum	NOUN
cana-5215	115	26	mining	mining	NOUN
cana-5215	115	27	.	.	PUNCT
cana-5215	116	1	in	in	ADP
cana-5215	116	2	:	:	PUNCT
cana-5215	116	3	sixth	sixth	ADJ
cana-5215	116	4	international	international	ADJ
cana-5215	116	5	conference	conference	NOUN
cana-5215	116	6	on	on	ADP
cana-5215	116	7	fuzzy	fuzzy	ADJ
cana-5215	116	8	systems	system	NOUN
cana-5215	116	9	and	and	CCONJ
cana-5215	116	10	knowledge	knowledge	NOUN
cana-5215	116	11	discovery	discovery	NOUN
cana-5215	116	12	,	,	PUNCT
cana-5215	116	13	vol	vol	NOUN
cana-5215	116	14	.	.	PROPN
cana-5215	116	15	1	1	NUM
cana-5215	116	16	.	.	NUM
cana-5215	116	17	2009	2009	NUM
cana-5215	116	18	.	.	PUNCT
cana-5215	117	1	p.	p.	NOUN
cana-5215	117	2	92–4	92–4	PROPN
cana-5215	117	3	.	.	PUNCT
cana-5215	118	1	[	[	X
cana-5215	118	2	9	9	NUM
cana-5215	118	3	]	]	X
cana-5215	118	4	idris	idris	PROPN
cana-5215	118	5	a	a	PROPN
cana-5215	118	6	,	,	PUNCT
cana-5215	118	7	khan	khan	PROPN
cana-5215	118	8	a	a	PROPN
cana-5215	118	9	,	,	PUNCT
cana-5215	118	10	lee	lee	PROPN
cana-5215	118	11	ys	ys	PROPN
cana-5215	118	12	.	.	PUNCT
cana-5215	119	1	genetic	genetic	ADJ
cana-5215	119	2	programming	programming	NOUN
cana-5215	119	3	and	and	CCONJ
cana-5215	119	4	adaboosting	adabooste	VERB
cana-5215	119	5	based	base	VERB
cana-5215	119	6	churn	churn	NOUN
cana-5215	119	7	prediction	prediction	NOUN
cana-5215	119	8	for	for	ADP
cana-5215	119	9	telecom	telecom	NOUN
cana-5215	119	10	.	.	PUNCT
cana-5215	120	1	in	in	ADP
cana-5215	120	2	:	:	PUNCT
cana-5215	120	3	ieee	ieee	PROPN
cana-5215	120	4	international	international	ADJ
cana-5215	120	5	conference	conference	NOUN
cana-5215	120	6	on	on	ADP
cana-5215	120	7	systems	system	NOUN
cana-5215	120	8	,	,	PUNCT
cana-5215	120	9	man	man	NOUN
cana-5215	120	10	,	,	PUNCT
cana-5215	120	11	and	and	CCONJ
cana-5215	120	12	cybernetics	cybernetic	NOUN
cana-5215	120	13	(	(	PUNCT
cana-5215	120	14	smc	smc	PROPN
cana-5215	120	15	)	)	PUNCT
cana-5215	120	16	.	.	PUNCT
cana-5215	121	1	2012	2012	NUM
cana-5215	121	2	.	.	PUNCT
cana-5215	122	1	p.	p.	NOUN
cana-5215	122	2	1328–32	1328–32	NUM
cana-5215	122	3	.	.	PUNCT
cana-5215	123	1	[	[	X
cana-5215	123	2	10	10	NUM
cana-5215	123	3	]	]	X
cana-5215	123	4	huang	huang	PROPN
cana-5215	123	5	f	f	PROPN
cana-5215	123	6	,	,	PUNCT
cana-5215	123	7	zhu	zhu	PROPN
cana-5215	123	8	m	m	PROPN
cana-5215	123	9	,	,	PUNCT
cana-5215	123	10	yuan	yuan	PROPN
cana-5215	123	11	k	k	PROPN
cana-5215	123	12	,	,	PUNCT
cana-5215	123	13	deng	deng	PROPN
cana-5215	123	14	eo	eo	PROPN
cana-5215	123	15	.	.	PROPN
cana-5215	123	16	telco	telco	ADJ
cana-5215	123	17	churn	churn	NOUN
cana-5215	123	18	prediction	prediction	NOUN
cana-5215	123	19	with	with	ADP
cana-5215	123	20	big	big	ADJ
cana-5215	123	21	data	datum	NOUN
cana-5215	123	22	.	.	PUNCT
cana-5215	124	1	in	in	ADP
cana-5215	124	2	:	:	PUNCT
cana-5215	124	3	acm	acm	PROPN
cana-5215	124	4	sigmod	sigmod	PROPN
cana-5215	124	5	international	international	ADJ
cana-5215	124	6	conference	conference	NOUN
cana-5215	124	7	on	on	ADP
cana-5215	124	8	management	management	NOUN
cana-5215	124	9	of	of	ADP
cana-5215	124	10	data	datum	NOUN
cana-5215	124	11	.	.	PUNCT
cana-5215	124	12	2015	2015	NUM
cana-5215	124	13	.	.	PUNCT
cana-5215	125	1	p	p	X
cana-5215	125	2	.607–18	.607–18	PROPN
cana-5215	125	3	.	.	PUNCT