id	sid	tid	token	lemma	pos
cana-4564	1	1	communications	communication	NOUN
cana-4564	1	2	on	on	ADP
cana-4564	1	3	applied	apply	VERB
cana-4564	1	4	nonlinear	nonlinear	ADJ
cana-4564	1	5	analysis	analysis	NOUN
cana-4564	1	6	issn	issn	NOUN
cana-4564	1	7	:	:	PUNCT
cana-4564	1	8	1074	1074	NUM
cana-4564	1	9	-	-	PUNCT
cana-4564	1	10	133x	133x	NUM
cana-4564	1	11	vol	vol	NOUN
cana-4564	1	12	32	32	NUM
cana-4564	1	13	no	no	NOUN
cana-4564	1	14	.	.	PUNCT
cana-4564	2	1	9s	9s	NUM
cana-4564	2	2	(	(	PUNCT
cana-4564	2	3	2025	2025	NUM
cana-4564	2	4	)	)	PUNCT
cana-4564	2	5	2610	2610	NUM
cana-4564	3	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4564	3	2	email	email	NOUN
cana-4564	3	3	spam	spam	NOUN
cana-4564	3	4	filtering	filtering	NOUN
cana-4564	3	5	model	model	NOUN
cana-4564	3	6	with	with	ADP
cana-4564	3	7	the	the	DET
cana-4564	3	8	machine	machine	NOUN
cana-4564	3	9	learning	learning	NOUN
cana-4564	3	10	models	model	NOUN
cana-4564	3	11	dr	dr	PROPN
cana-4564	3	12	swapna	swapna	PROPN
cana-4564	3	13	siddamsetti1	siddamsetti1	PROPN
cana-4564	3	14	,	,	PUNCT
cana-4564	3	15	dr	dr	PROPN
cana-4564	3	16	purude	purude	PROPN
cana-4564	3	17	vaishali	vaishali	PROPN
cana-4564	3	18	2	2	NUM
cana-4564	3	19	,	,	PUNCT
cana-4564	3	20	k.j.archana3	k.j.archana3	NOUN
cana-4564	3	21	,	,	PUNCT
cana-4564	3	22	sure	sure	ADJ
cana-4564	3	23	mamatha4	mamatha4	NOUN
cana-4564	3	24	,	,	PUNCT
cana-4564	3	25	d	d	PROPN
cana-4564	3	26	deepthi	deepthi	ADJ
cana-4564	4	1	reddy5	reddy5	NOUN
cana-4564	5	1	1,2,3	1,2,3	NUM
cana-4564	5	2	department	department	NOUN
cana-4564	5	3	of	of	ADP
cana-4564	5	4	cse	cse	PROPN
cana-4564	5	5	,	,	PUNCT
cana-4564	5	6	neil	neil	PROPN
cana-4564	5	7	gogte	gogte	PROPN
cana-4564	5	8	institute	institute	PROPN
cana-4564	5	9	of	of	ADP
cana-4564	5	10	technology	technology	PROPN
cana-4564	5	11	,	,	PUNCT
cana-4564	5	12	uppal	uppal	NOUN
cana-4564	5	13	,	,	PUNCT
cana-4564	5	14	hyderabad	hyderabad	PROPN
cana-4564	5	15	,	,	PUNCT
cana-4564	5	16	telangana	telangana	PROPN
cana-4564	5	17	500039	500039	NUM
cana-4564	5	18	,	,	PUNCT
cana-4564	5	19	india	india	PROPN
cana-4564	5	20	,	,	PUNCT
cana-4564	5	21	4	4	NUM
cana-4564	5	22	department	department	NOUN
cana-4564	5	23	of	of	ADP
cana-4564	5	24	cse	cse	PROPN
cana-4564	5	25	,	,	PUNCT
cana-4564	5	26	hitam	hitam	PROPN
cana-4564	5	27	,	,	PUNCT
cana-4564	5	28	gowdavelly	gowdavelly	ADV
cana-4564	5	29	,	,	PUNCT
cana-4564	5	30	medchal	medchal	ADJ
cana-4564	5	31	-	-	PUNCT
cana-4564	5	32	malkajgiri	malkajgiri	NOUN
cana-4564	5	33	(	(	PUNCT
cana-4564	5	34	dist	dist	NOUN
cana-4564	5	35	.	.	PUNCT
cana-4564	5	36	)	)	PUNCT
cana-4564	5	37	–	–	PUNCT
cana-4564	5	38	501401	501401	NUM
cana-4564	5	39	.	.	PUNCT
cana-4564	6	1	telangana	telangana	PROPN
cana-4564	6	2	.	.	PUNCT
cana-4564	7	1	india	india	PROPN
cana-4564	7	2	.	.	PUNCT
cana-4564	8	1	5	5	NUM
cana-4564	8	2	research	research	NOUN
cana-4564	8	3	scholar	scholar	NOUN
cana-4564	8	4	,	,	PUNCT
cana-4564	8	5	department	department	NOUN
cana-4564	8	6	of	of	ADP
cana-4564	8	7	cse	cse	PROPN
cana-4564	8	8	,	,	PUNCT
cana-4564	8	9	gitam	gitam	NOUN
cana-4564	8	10	university	university	PROPN
cana-4564	8	11	,	,	PUNCT
cana-4564	8	12	hyderabad	hyderabad	PROPN
cana-4564	8	13	,	,	PUNCT
cana-4564	8	14	telangana	telangana	PROPN
cana-4564	8	15	502329	502329	NUM
cana-4564	8	16	,	,	PUNCT
cana-4564	8	17	india	india	PROPN
cana-4564	8	18	.	.	PUNCT
cana-4564	9	1	article	article	PROPN
cana-4564	9	2	history	history	NOUN
cana-4564	9	3	:	:	PUNCT
cana-4564	9	4	received	receive	VERB
cana-4564	9	5	:	:	PUNCT
cana-4564	9	6	12	12	NUM
cana-4564	9	7	-	-	SYM
cana-4564	9	8	01	01	NUM
cana-4564	9	9	-	-	PUNCT
cana-4564	9	10	2025	2025	NUM
cana-4564	9	11	revised	revise	VERB
cana-4564	9	12	:	:	PUNCT
cana-4564	9	13	15	15	NUM
cana-4564	9	14	-	-	NUM
cana-4564	9	15	02	02	NUM
cana-4564	9	16	-	-	PUNCT
cana-4564	9	17	2025	2025	NUM
cana-4564	9	18	accepted	accept	VERB
cana-4564	9	19	:	:	PUNCT
cana-4564	9	20	01	01	NUM
cana-4564	9	21	-	-	SYM
cana-4564	9	22	03	03	NUM
cana-4564	9	23	-	-	PUNCT
cana-4564	9	24	2025	2025	NUM
cana-4564	9	25	abstract	abstract	NOUN
cana-4564	9	26	:	:	PUNCT
cana-4564	9	27	the	the	DET
cana-4564	9	28	increase	increase	NOUN
cana-4564	9	29	in	in	ADP
cana-4564	9	30	the	the	DET
cana-4564	9	31	volume	volume	NOUN
cana-4564	9	32	of	of	ADP
cana-4564	9	33	the	the	DET
cana-4564	9	34	unrequired	unrequired	ADJ
cana-4564	9	35	emails	email	NOUN
cana-4564	9	36	which	which	PRON
cana-4564	9	37	can	can	AUX
cana-4564	9	38	be	be	AUX
cana-4564	9	39	termed	term	VERB
cana-4564	9	40	as	as	SCONJ
cana-4564	9	41	the	the	DET
cana-4564	9	42	spam	spam	NOUN
cana-4564	9	43	has	have	AUX
cana-4564	9	44	started	start	VERB
cana-4564	9	45	an	an	DET
cana-4564	9	46	issue	issue	NOUN
cana-4564	9	47	for	for	ADP
cana-4564	9	48	the	the	DET
cana-4564	9	49	development	development	NOUN
cana-4564	9	50	or	or	CCONJ
cana-4564	9	51	implementation	implementation	NOUN
cana-4564	9	52	of	of	ADP
cana-4564	9	53	the	the	DET
cana-4564	9	54	model	model	NOUN
cana-4564	9	55	for	for	ADP
cana-4564	9	56	detecting	detect	VERB
cana-4564	9	57	the	the	DET
cana-4564	9	58	spam	spam	NOUN
cana-4564	9	59	emails	email	NOUN
cana-4564	9	60	and	and	CCONJ
cana-4564	9	61	named	name	VERB
cana-4564	9	62	as	as	ADP
cana-4564	9	63	the	the	DET
cana-4564	9	64	anti	anti	ADJ
cana-4564	9	65	-	-	ADJ
cana-4564	9	66	spam	spam	ADJ
cana-4564	9	67	filters	filter	NOUN
cana-4564	9	68	.	.	PUNCT
cana-4564	10	1	the	the	DET
cana-4564	10	2	various	various	ADJ
cana-4564	10	3	machine	machine	NOUN
cana-4564	10	4	learning	learning	NOUN
cana-4564	10	5	models	model	NOUN
cana-4564	10	6	or	or	CCONJ
cana-4564	10	7	the	the	DET
cana-4564	10	8	algorithms	algorithm	NOUN
cana-4564	10	9	can	can	AUX
cana-4564	10	10	be	be	AUX
cana-4564	10	11	used	use	VERB
cana-4564	10	12	for	for	ADP
cana-4564	10	13	the	the	DET
cana-4564	10	14	success	success	NOUN
cana-4564	10	15	full	full	ADJ
cana-4564	10	16	detection	detection	NOUN
cana-4564	10	17	of	of	ADP
cana-4564	10	18	the	the	DET
cana-4564	10	19	spam	spam	NOUN
cana-4564	10	20	emails	email	NOUN
cana-4564	10	21	.	.	PUNCT
cana-4564	11	1	in	in	ADP
cana-4564	11	2	this	this	DET
cana-4564	11	3	paper	paper	NOUN
cana-4564	11	4	we	we	PRON
cana-4564	11	5	will	will	AUX
cana-4564	11	6	present	present	VERB
cana-4564	11	7	the	the	DET
cana-4564	11	8	systematic	systematic	ADJ
cana-4564	11	9	approach	approach	NOUN
cana-4564	11	10	of	of	ADP
cana-4564	11	11	some	some	PRON
cana-4564	11	12	of	of	ADP
cana-4564	11	13	the	the	DET
cana-4564	11	14	best	good	ADJ
cana-4564	11	15	machine	machine	NOUN
cana-4564	11	16	learning	learning	NOUN
cana-4564	11	17	model	model	NOUN
cana-4564	11	18	based	base	VERB
cana-4564	11	19	email	email	NOUN
cana-4564	11	20	spam	spam	NOUN
cana-4564	11	21	filtering	filtering	NOUN
cana-4564	11	22	techniques	technique	NOUN
cana-4564	11	23	.	.	PUNCT
cana-4564	12	1	after	after	ADP
cana-4564	12	2	implementing	implement	VERB
cana-4564	12	3	these	these	DET
cana-4564	12	4	models	model	NOUN
cana-4564	12	5	we	we	PRON
cana-4564	12	6	will	will	AUX
cana-4564	12	7	propose	propose	VERB
cana-4564	12	8	a	a	DET
cana-4564	12	9	bet	bet	NOUN
cana-4564	12	10	model	model	NOUN
cana-4564	12	11	for	for	ADP
cana-4564	12	12	the	the	DET
cana-4564	12	13	spam	spam	NOUN
cana-4564	12	14	filtering	filter	VERB
cana-4564	12	15	as	as	ADP
cana-4564	12	16	per	per	ADP
cana-4564	12	17	the	the	DET
cana-4564	12	18	accuracy	accuracy	NOUN
cana-4564	12	19	of	of	ADP
cana-4564	12	20	the	the	DET
cana-4564	12	21	algorithm	algorithm	NOUN
cana-4564	12	22	.	.	PUNCT
cana-4564	13	1	we	we	PRON
cana-4564	13	2	first	first	ADV
cana-4564	13	3	discuss	discuss	VERB
cana-4564	13	4	about	about	ADP
cana-4564	13	5	the	the	DET
cana-4564	13	6	importance	importance	NOUN
cana-4564	13	7	of	of	ADP
cana-4564	13	8	the	the	DET
cana-4564	13	9	machine	machine	NOUN
cana-4564	13	10	learning	learn	VERB
cana-4564	13	11	algorithms	algorithm	NOUN
cana-4564	13	12	and	and	CCONJ
cana-4564	13	13	various	various	ADJ
cana-4564	13	14	models	model	NOUN
cana-4564	13	15	suitable	suitable	ADJ
cana-4564	13	16	for	for	ADP
cana-4564	13	17	the	the	DET
cana-4564	13	18	spam	spam	NOUN
cana-4564	13	19	filtering	filter	VERB
cana-4564	13	20	.	.	PUNCT
cana-4564	14	1	then	then	ADV
cana-4564	14	2	with	with	ADP
cana-4564	14	3	the	the	DET
cana-4564	14	4	help	help	NOUN
cana-4564	14	5	of	of	ADP
cana-4564	14	6	the	the	DET
cana-4564	14	7	dataset	dataset	NOUN
cana-4564	14	8	we	we	PRON
cana-4564	14	9	will	will	AUX
cana-4564	14	10	implement	implement	VERB
cana-4564	14	11	all	all	DET
cana-4564	14	12	the	the	DET
cana-4564	14	13	algorithms	algorithm	NOUN
cana-4564	14	14	and	and	CCONJ
cana-4564	14	15	finally	finally	ADV
cana-4564	14	16	proposed	propose	VERB
cana-4564	14	17	the	the	DET
cana-4564	14	18	best	good	ADJ
cana-4564	14	19	algorithm	algorithm	NOUN
cana-4564	14	20	according	accord	VERB
cana-4564	14	21	to	to	ADP
cana-4564	14	22	the	the	DET
cana-4564	14	23	results	result	NOUN
cana-4564	14	24	like	like	ADP
cana-4564	14	25	high	high	ADJ
cana-4564	14	26	accuracy	accuracy	NOUN
cana-4564	14	27	.	.	PUNCT
cana-4564	15	1	finally	finally	ADV
cana-4564	15	2	the	the	DET
cana-4564	15	3	results	result	NOUN
cana-4564	15	4	of	of	ADP
cana-4564	15	5	all	all	DET
cana-4564	15	6	the	the	DET
cana-4564	15	7	suitable	suitable	ADJ
cana-4564	15	8	algorithms	algorithm	NOUN
cana-4564	15	9	are	be	AUX
cana-4564	15	10	presented	present	VERB
cana-4564	15	11	in	in	ADP
cana-4564	15	12	the	the	DET
cana-4564	15	13	paper	paper	NOUN
cana-4564	15	14	.	.	PUNCT
cana-4564	16	1	then	then	ADV
cana-4564	16	2	conclude	conclude	VERB
cana-4564	16	3	and	and	CCONJ
cana-4564	16	4	propose	propose	VERB
cana-4564	16	5	the	the	DET
cana-4564	16	6	best	good	ADJ
cana-4564	16	7	algorithm	algorithm	NOUN
cana-4564	16	8	.	.	PUNCT
cana-4564	17	1	keywords	keyword	NOUN
cana-4564	17	2	:	:	PUNCT
cana-4564	17	3	anti	anti	ADJ
cana-4564	17	4	-	-	ADJ
cana-4564	17	5	spam	spam	ADJ
cana-4564	17	6	filters	filter	NOUN
cana-4564	17	7	,	,	PUNCT
cana-4564	17	8	machine	machine	NOUN
cana-4564	17	9	learning	learning	NOUN
cana-4564	17	10	models	model	NOUN
cana-4564	17	11	,	,	PUNCT
cana-4564	17	12	spam	spam	NOUN
cana-4564	17	13	filtering	filter	VERB
cana-4564	17	14	1	1	NUM
cana-4564	17	15	.	.	PUNCT
cana-4564	18	1	introduction	introduction	NOUN
cana-4564	18	2	in	in	ADP
cana-4564	18	3	our	our	PRON
cana-4564	18	4	daily	daily	ADJ
cana-4564	18	5	life	life	NOUN
cana-4564	18	6	due	due	ADP
cana-4564	18	7	to	to	ADP
cana-4564	18	8	the	the	DET
cana-4564	18	9	high	high	ADJ
cana-4564	18	10	usage	usage	NOUN
cana-4564	18	11	of	of	ADP
cana-4564	18	12	the	the	DET
cana-4564	18	13	technology	technology	NOUN
cana-4564	18	14	and	and	CCONJ
cana-4564	18	15	dependency	dependency	NOUN
cana-4564	18	16	on	on	ADP
cana-4564	18	17	the	the	DET
cana-4564	18	18	network	network	NOUN
cana-4564	18	19	the	the	DET
cana-4564	18	20	chance	chance	NOUN
cana-4564	18	21	of	of	ADP
cana-4564	18	22	growing	grow	VERB
cana-4564	18	23	cyber	cyber	NOUN
cana-4564	18	24	-	-	PUNCT
cana-4564	18	25	crimes	crime	NOUN
cana-4564	18	26	can	can	AUX
cana-4564	18	27	be	be	AUX
cana-4564	18	28	considered	consider	VERB
cana-4564	18	29	as	as	ADP
cana-4564	18	30	the	the	DET
cana-4564	18	31	borderless	borderless	ADJ
cana-4564	18	32	crimes	crime	NOUN
cana-4564	18	33	.	.	PUNCT
cana-4564	19	1	the	the	DET
cana-4564	19	2	different	different	ADJ
cana-4564	19	3	types	type	NOUN
cana-4564	19	4	of	of	ADP
cana-4564	19	5	users	user	NOUN
cana-4564	19	6	over	over	ADP
cana-4564	19	7	the	the	DET
cana-4564	19	8	internet	internet	NOUN
cana-4564	19	9	like	like	ADP
cana-4564	19	10	the	the	DET
cana-4564	19	11	government	government	NOUN
cana-4564	19	12	applications	application	NOUN
cana-4564	19	13	,	,	PUNCT
cana-4564	19	14	different	different	ADJ
cana-4564	19	15	organizations	organization	NOUN
cana-4564	19	16	,	,	PUNCT
cana-4564	19	17	and	and	CCONJ
cana-4564	19	18	the	the	DET
cana-4564	19	19	individuals	individual	NOUN
cana-4564	19	20	are	be	AUX
cana-4564	19	21	affected	affect	VERB
cana-4564	19	22	rigorously	rigorously	ADV
cana-4564	19	23	by	by	ADP
cana-4564	19	24	this	this	PRON
cana-4564	19	25	[	[	X
cana-4564	19	26	1	1	NUM
cana-4564	19	27	]	]	PUNCT
cana-4564	19	28	.	.	PUNCT
cana-4564	20	1	one	one	NUM
cana-4564	20	2	of	of	ADP
cana-4564	20	3	the	the	DET
cana-4564	20	4	problems	problem	NOUN
cana-4564	20	5	faced	face	VERB
cana-4564	20	6	was	be	AUX
cana-4564	20	7	regarding	regard	VERB
cana-4564	20	8	the	the	DET
cana-4564	20	9	emailusers	emailuser	NOUN
cana-4564	20	10	who	who	PRON
cana-4564	20	11	receives	receive	VERB
cana-4564	20	12	different	different	ADJ
cana-4564	20	13	types	type	NOUN
cana-4564	20	14	of	of	ADP
cana-4564	20	15	mails	mail	NOUN
cana-4564	20	16	,	,	PUNCT
cana-4564	20	17	which	which	PRON
cana-4564	20	18	also	also	ADV
cana-4564	20	19	includes	include	VERB
cana-4564	20	20	the	the	DET
cana-4564	20	21	spam	spam	NOUN
cana-4564	20	22	mails	mail	NOUN
cana-4564	20	23	flooded	flood	VERB
cana-4564	20	24	into	into	ADP
cana-4564	20	25	the	the	DET
cana-4564	20	26	inboxes.all	inboxes.all	DET
cana-4564	20	27	the	the	DET
cana-4564	20	28	organizations	organization	NOUN
cana-4564	20	29	and	and	CCONJ
cana-4564	20	30	the	the	DET
cana-4564	20	31	individuals	individual	NOUN
cana-4564	20	32	communicate	communicate	VERB
cana-4564	20	33	through	through	ADP
cana-4564	20	34	the	the	DET
cana-4564	20	35	electronic	electronic	ADJ
cana-4564	20	36	mails	mail	NOUN
cana-4564	20	37	for	for	ADP
cana-4564	20	38	various	various	ADJ
cana-4564	20	39	requirements	requirement	NOUN
cana-4564	20	40	and	and	CCONJ
cana-4564	20	41	business	business	NOUN
cana-4564	20	42	communications	communication	NOUN
cana-4564	20	43	.	.	PUNCT
cana-4564	21	1	now	now	ADV
cana-4564	21	2	a	a	DET
cana-4564	21	3	days	day	NOUN
cana-4564	21	4	,	,	PUNCT
cana-4564	21	5	the	the	DET
cana-4564	21	6	spam	spam	NOUN
cana-4564	21	7	email	email	NOUN
cana-4564	21	8	became	become	VERB
cana-4564	21	9	an	an	DET
cana-4564	21	10	issue	issue	NOUN
cana-4564	21	11	for	for	ADP
cana-4564	21	12	the	the	DET
cana-4564	21	13	email	email	NOUN
cana-4564	21	14	users	user	NOUN
cana-4564	21	15	and	and	CCONJ
cana-4564	21	16	also	also	ADV
cana-4564	21	17	attacks	attack	VERB
cana-4564	21	18	the	the	DET
cana-4564	21	19	system	system	NOUN
cana-4564	21	20	with	with	ADP
cana-4564	21	21	the	the	DET
cana-4564	21	22	malicious	malicious	ADJ
cana-4564	21	23	links	link	NOUN
cana-4564	21	24	and	and	CCONJ
cana-4564	21	25	data	datum	NOUN
cana-4564	21	26	.	.	PUNCT
cana-4564	22	1	spam	spam	NOUN
cana-4564	22	2	mails	mail	NOUN
cana-4564	22	3	will	will	AUX
cana-4564	22	4	be	be	AUX
cana-4564	22	5	attractive	attractive	ADJ
cana-4564	22	6	and	and	CCONJ
cana-4564	22	7	make	make	VERB
cana-4564	22	8	the	the	DET
cana-4564	22	9	users	user	NOUN
cana-4564	22	10	to	to	PART
cana-4564	22	11	click	click	VERB
cana-4564	22	12	on	on	ADP
cana-4564	22	13	them	they	PRON
cana-4564	22	14	to	to	PART
cana-4564	22	15	attack	attack	VERB
cana-4564	22	16	the	the	DET
cana-4564	22	17	systems	system	NOUN
cana-4564	22	18	,	,	PUNCT
cana-4564	22	19	these	these	PRON
cana-4564	22	20	may	may	AUX
cana-4564	22	21	also	also	ADV
cana-4564	22	22	include	include	VERB
cana-4564	22	23	the	the	DET
cana-4564	22	24	commercial	commercial	ADJ
cana-4564	22	25	links	link	NOUN
cana-4564	22	26	of	of	ADP
cana-4564	22	27	the	the	DET
cana-4564	22	28	famous	famous	ADJ
cana-4564	22	29	websites	website	NOUN
cana-4564	22	30	[	[	X
cana-4564	22	31	2	2	NUM
cana-4564	22	32	]	]	PUNCT
cana-4564	22	33	.	.	PUNCT
cana-4564	23	1	now	now	ADV
cana-4564	23	2	the	the	DET
cana-4564	23	3	trend	trend	NOUN
cana-4564	23	4	is	be	AUX
cana-4564	23	5	only	only	ADV
cana-4564	23	6	with	with	ADP
cana-4564	23	7	the	the	DET
cana-4564	23	8	machine	machine	NOUN
cana-4564	23	9	learning	learning	NOUN
cana-4564	23	10	as	as	SCONJ
cana-4564	23	11	it	it	PRON
cana-4564	23	12	plays	play	VERB
cana-4564	23	13	an	an	DET
cana-4564	23	14	important	important	ADJ
cana-4564	23	15	role	role	NOUN
cana-4564	23	16	for	for	ADP
cana-4564	23	17	avoiding	avoid	VERB
cana-4564	23	18	the	the	DET
cana-4564	23	19	cybercrimes	cybercrime	NOUN
cana-4564	23	20	and	and	CCONJ
cana-4564	23	21	provides	provide	VERB
cana-4564	23	22	the	the	DET
cana-4564	23	23	cyber	cyber	NOUN
cana-4564	23	24	security	security	NOUN
cana-4564	23	25	[	[	X
cana-4564	23	26	3].it	3].it	NUM
cana-4564	23	27	is	be	AUX
cana-4564	23	28	one	one	NUM
cana-4564	23	29	of	of	ADP
cana-4564	23	30	the	the	DET
cana-4564	23	31	worldwide	worldwide	ADJ
cana-4564	23	32	services	service	NOUN
cana-4564	23	33	linked	link	VERB
cana-4564	23	34	problem	problem	NOUN
cana-4564	23	35	connected	connect	VERB
cana-4564	23	36	to	to	ADP
cana-4564	23	37	the	the	DET
cana-4564	23	38	email	email	NOUN
cana-4564	23	39	services	service	NOUN
cana-4564	23	40	.	.	PUNCT
cana-4564	24	1	it	it	PRON
cana-4564	24	2	consists	consist	VERB
cana-4564	24	3	of	of	ADP
cana-4564	24	4	the	the	DET
cana-4564	24	5	unnecessary	unnecessary	ADJ
cana-4564	24	6	emails	email	NOUN
cana-4564	24	7	and	and	CCONJ
cana-4564	24	8	does	do	AUX
cana-4564	24	9	not	not	PART
cana-4564	24	10	have	have	VERB
cana-4564	24	11	the	the	DET
cana-4564	24	12	required	require	VERB
cana-4564	24	13	receiver	receiver	NOUN
cana-4564	24	14	,	,	PUNCT
cana-4564	24	15	and	and	CCONJ
cana-4564	24	16	generated	generate	VERB
cana-4564	24	17	due	due	ADP
cana-4564	24	18	to	to	ADP
cana-4564	24	19	many	many	ADJ
cana-4564	24	20	reasons	reason	NOUN
cana-4564	24	21	,	,	PUNCT
cana-4564	24	22	starting	start	VERB
cana-4564	24	23	from	from	ADP
cana-4564	24	24	the	the	DET
cana-4564	24	25	marketing	marketing	NOUN
cana-4564	24	26	to	to	ADP
cana-4564	24	27	the	the	DET
cana-4564	24	28	scams	scam	NOUN
cana-4564	24	29	which	which	PRON
cana-4564	24	30	leads	lead	VERB
cana-4564	24	31	to	to	ADP
cana-4564	24	32	the	the	DET
cana-4564	24	33	fraud	fraud	NOUN
cana-4564	24	34	[	[	X
cana-4564	24	35	4,5	4,5	NUM
cana-4564	24	36	]	]	PUNCT
cana-4564	24	37	.	.	PUNCT
cana-4564	25	1	as	as	ADP
cana-4564	25	2	per	per	ADP
cana-4564	25	3	the	the	DET
cana-4564	25	4	analysis	analysis	NOUN
cana-4564	25	5	in	in	ADP
cana-4564	25	6	the	the	DET
cana-4564	25	7	year	year	NOUN
cana-4564	25	8	2009	2009	NUM
cana-4564	25	9	,	,	PUNCT
cana-4564	25	10	approximately	approximately	ADV
cana-4564	25	11	97	97	NUM
cana-4564	25	12	%	%	NOUN
cana-4564	25	13	of	of	ADP
cana-4564	25	14	the	the	DET
cana-4564	25	15	received	receive	VERB
cana-4564	25	16	and	and	CCONJ
cana-4564	25	17	the	the	DET
cana-4564	25	18	sent	send	VERB
cana-4564	25	19	emails	email	NOUN
cana-4564	25	20	have	have	AUX
cana-4564	25	21	been	be	AUX
cana-4564	25	22	categorized	categorize	VERB
cana-4564	25	23	as	as	ADP
cana-4564	25	24	spam	spam	NOUN
cana-4564	25	25	mails	mail	NOUN
cana-4564	25	26	.	.	PUNCT
cana-4564	26	1	therefore	therefore	ADV
cana-4564	26	2	,	,	PUNCT
cana-4564	26	3	in	in	ADP
cana-4564	26	4	these	these	DET
cana-4564	26	5	modern	modern	ADJ
cana-4564	26	6	era	era	NOUN
cana-4564	26	7	,	,	PUNCT
cana-4564	26	8	the	the	DET
cana-4564	26	9	concentration	concentration	NOUN
cana-4564	26	10	have	have	VERB
cana-4564	26	11	to	to	PART
cana-4564	26	12	be	be	AUX
cana-4564	26	13	provided	provide	VERB
cana-4564	26	14	in	in	ADP
cana-4564	26	15	this	this	DET
cana-4564	26	16	identification	identification	NOUN
cana-4564	26	17	of	of	ADP
cana-4564	26	18	the	the	DET
cana-4564	26	19	spam	spam	NOUN
cana-4564	26	20	mails	mail	NOUN
cana-4564	26	21	or	or	CCONJ
cana-4564	26	22	emails	email	NOUN
cana-4564	26	23	have	have	VERB
cana-4564	26	24	to	to	PART
cana-4564	26	25	be	be	AUX
cana-4564	26	26	classified	classify	VERB
cana-4564	26	27	into	into	ADP
cana-4564	26	28	the	the	DET
cana-4564	26	29	ham	ham	NOUN
cana-4564	26	30	mails	mail	NOUN
cana-4564	26	31	and	and	CCONJ
cana-4564	26	32	spam	spam	VERB
cana-4564	26	33	mails	mail	NOUN
cana-4564	26	34	.	.	PUNCT
cana-4564	27	1	communications	communication	NOUN
cana-4564	27	2	on	on	ADP
cana-4564	27	3	applied	apply	VERB
cana-4564	27	4	nonlinear	nonlinear	ADJ
cana-4564	27	5	analysis	analysis	NOUN
cana-4564	27	6	issn	issn	NOUN
cana-4564	27	7	:	:	PUNCT
cana-4564	27	8	1074	1074	NUM
cana-4564	27	9	-	-	PUNCT
cana-4564	27	10	133x	133x	NUM
cana-4564	27	11	vol	vol	NOUN
cana-4564	27	12	32	32	NUM
cana-4564	27	13	no	no	NOUN
cana-4564	27	14	.	.	PUNCT
cana-4564	28	1	9s	9s	NUM
cana-4564	28	2	(	(	PUNCT
cana-4564	28	3	2025	2025	NUM
cana-4564	28	4	)	)	PUNCT
cana-4564	28	5	2611	2611	NUM
cana-4564	28	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4564	28	7	spam	spam	NOUN
cana-4564	28	8	can	can	AUX
cana-4564	28	9	be	be	AUX
cana-4564	28	10	defined	define	VERB
cana-4564	28	11	as	as	ADP
cana-4564	28	12	the	the	DET
cana-4564	28	13	junk	junk	NOUN
cana-4564	28	14	mail	mail	NOUN
cana-4564	28	15	or	or	CCONJ
cana-4564	28	16	the	the	DET
cana-4564	28	17	unwanted	unwanted	ADJ
cana-4564	28	18	mail	mail	NOUN
cana-4564	28	19	which	which	PRON
cana-4564	28	20	has	have	AUX
cana-4564	28	21	been	be	AUX
cana-4564	28	22	sent	send	VERB
cana-4564	28	23	to	to	ADP
cana-4564	28	24	the	the	DET
cana-4564	28	25	user	user	NOUN
cana-4564	28	26	’s	’s	PART
cana-4564	28	27	inbox	inbox	NOUN
cana-4564	28	28	.	.	PUNCT
cana-4564	29	1	this	this	PRON
cana-4564	29	2	became	become	VERB
cana-4564	29	3	the	the	DET
cana-4564	29	4	threat	threat	NOUN
cana-4564	29	5	which	which	PRON
cana-4564	29	6	has	have	VERB
cana-4564	29	7	to	to	PART
cana-4564	29	8	be	be	AUX
cana-4564	29	9	considered	consider	VERB
cana-4564	29	10	as	as	ADP
cana-4564	29	11	the	the	DET
cana-4564	29	12	severe	severe	ADJ
cana-4564	29	13	over	over	ADP
cana-4564	29	14	the	the	DET
cana-4564	29	15	society	society	NOUN
cana-4564	29	16	and	and	CCONJ
cana-4564	29	17	the	the	DET
cana-4564	29	18	internet	internet	NOUN
cana-4564	30	1	[	[	X
cana-4564	30	2	6	6	NUM
cana-4564	30	3	]	]	PUNCT
cana-4564	30	4	.	.	PUNCT
cana-4564	31	1	these	these	DET
cana-4564	31	2	spam	spam	NOUN
cana-4564	31	3	mails	mail	NOUN
cana-4564	31	4	will	will	AUX
cana-4564	31	5	cause	cause	VERB
cana-4564	31	6	the	the	DET
cana-4564	31	7	internet	internet	NOUN
cana-4564	31	8	and	and	CCONJ
cana-4564	31	9	the	the	DET
cana-4564	31	10	mail	mail	NOUN
cana-4564	31	11	users	user	NOUN
cana-4564	31	12	to	to	PART
cana-4564	31	13	face	face	VERB
cana-4564	31	14	various	various	ADJ
cana-4564	31	15	security	security	NOUN
cana-4564	31	16	problems	problem	NOUN
cana-4564	31	17	and	and	CCONJ
cana-4564	31	18	the	the	DET
cana-4564	31	19	improper	improper	ADJ
cana-4564	31	20	,	,	PUNCT
cana-4564	31	21	illegal	illegal	ADJ
cana-4564	31	22	issues	issue	NOUN
cana-4564	31	23	.	.	PUNCT
cana-4564	32	1	in	in	ADP
cana-4564	32	2	additional	additional	ADJ
cana-4564	32	3	to	to	ADP
cana-4564	32	4	these	these	DET
cana-4564	32	5	issues	issue	NOUN
cana-4564	32	6	,	,	PUNCT
cana-4564	32	7	the	the	DET
cana-4564	32	8	valuable	valuable	ADJ
cana-4564	32	9	resources	resource	NOUN
cana-4564	32	10	like	like	ADP
cana-4564	32	11	productivity	productivity	NOUN
cana-4564	32	12	,	,	PUNCT
cana-4564	32	13	network	network	NOUN
cana-4564	32	14	bandwidth	bandwidth	NOUN
cana-4564	32	15	,	,	PUNCT
cana-4564	32	16	also	also	ADV
cana-4564	32	17	the	the	DET
cana-4564	32	18	storage	storage	NOUN
cana-4564	32	19	was	be	AUX
cana-4564	32	20	wasted	waste	VERB
cana-4564	32	21	due	due	ADP
cana-4564	32	22	to	to	ADP
cana-4564	32	23	the	the	DET
cana-4564	32	24	spam	spam	NOUN
cana-4564	32	25	mails	mail	NOUN
cana-4564	32	26	[	[	X
cana-4564	32	27	8	8	NUM
cana-4564	32	28	]	]	PUNCT
cana-4564	32	29	.	.	PUNCT
cana-4564	33	1	hence	hence	ADV
cana-4564	33	2	,	,	PUNCT
cana-4564	33	3	there	there	PRON
cana-4564	33	4	exists	exist	VERB
cana-4564	33	5	demand	demand	NOUN
cana-4564	33	6	for	for	ADP
cana-4564	33	7	the	the	DET
cana-4564	33	8	application	application	NOUN
cana-4564	33	9	of	of	ADP
cana-4564	33	10	spam	spam	NOUN
cana-4564	33	11	filtering	filtering	NOUN
cana-4564	33	12	model	model	NOUN
cana-4564	33	13	[	[	X
cana-4564	33	14	7	7	NUM
cana-4564	33	15	]	]	PUNCT
cana-4564	33	16	.	.	PUNCT
cana-4564	34	1	all	all	DET
cana-4564	34	2	the	the	DET
cana-4564	34	3	researchers	researcher	NOUN
cana-4564	34	4	are	be	AUX
cana-4564	34	5	working	work	VERB
cana-4564	34	6	for	for	ADP
cana-4564	34	7	the	the	DET
cana-4564	34	8	generation	generation	NOUN
cana-4564	34	9	of	of	ADP
cana-4564	34	10	the	the	DET
cana-4564	34	11	accurate	accurate	ADJ
cana-4564	34	12	results	result	NOUN
cana-4564	34	13	for	for	ADP
cana-4564	34	14	the	the	DET
cana-4564	34	15	spam	spam	NOUN
cana-4564	34	16	detection	detection	NOUN
cana-4564	34	17	but	but	CCONJ
cana-4564	34	18	there	there	PRON
cana-4564	34	19	was	be	VERB
cana-4564	34	20	not	not	PART
cana-4564	34	21	an	an	DET
cana-4564	34	22	appropriate	appropriate	ADJ
cana-4564	34	23	model	model	NOUN
cana-4564	34	24	for	for	ADP
cana-4564	34	25	the	the	DET
cana-4564	34	26	spam	spam	NOUN
cana-4564	34	27	detection	detection	NOUN
cana-4564	34	28	.	.	PUNCT
cana-4564	35	1	the	the	DET
cana-4564	35	2	spammers	spammer	NOUN
cana-4564	35	3	are	be	AUX
cana-4564	35	4	sending	send	VERB
cana-4564	35	5	many	many	ADJ
cana-4564	35	6	varieties	variety	NOUN
cana-4564	35	7	of	of	ADP
cana-4564	35	8	the	the	DET
cana-4564	35	9	messages	message	NOUN
cana-4564	35	10	without	without	ADP
cana-4564	35	11	any	any	DET
cana-4564	35	12	costforthe	costforthe	ADJ
cana-4564	35	13	specific	specific	ADJ
cana-4564	35	14	botnets	botnet	NOUN
cana-4564	35	15	,	,	PUNCT
cana-4564	35	16	malware	malware	NOUN
cana-4564	35	17	which	which	PRON
cana-4564	35	18	are	be	AUX
cana-4564	35	19	harmful	harmful	ADJ
cana-4564	35	20	,	,	PUNCT
cana-4564	35	21	and	and	CCONJ
cana-4564	35	22	the	the	DET
cana-4564	35	23	various	various	ADJ
cana-4564	35	24	campaigns	campaign	NOUN
cana-4564	35	25	on	on	ADP
cana-4564	35	26	spam	spam	NOUN
cana-4564	35	27	mails	mail	NOUN
cana-4564	35	28	[	[	X
cana-4564	35	29	8,9	8,9	NUM
cana-4564	35	30	]	]	PUNCT
cana-4564	35	31	.	.	PUNCT
cana-4564	36	1	hence	hence	ADV
cana-4564	36	2	,	,	PUNCT
cana-4564	36	3	the	the	DET
cana-4564	36	4	model	model	NOUN
cana-4564	36	5	for	for	ADP
cana-4564	36	6	the	the	DET
cana-4564	36	7	detection	detection	NOUN
cana-4564	36	8	is	be	AUX
cana-4564	36	9	used	use	VERB
cana-4564	36	10	for	for	ADP
cana-4564	36	11	the	the	DET
cana-4564	36	12	identification	identification	NOUN
cana-4564	36	13	of	of	ADP
cana-4564	36	14	the	the	DET
cana-4564	36	15	fraudulent	fraudulent	ADJ
cana-4564	36	16	messages	message	NOUN
cana-4564	36	17	and	and	CCONJ
cana-4564	36	18	the	the	DET
cana-4564	36	19	unsolicited	unsolicited	ADJ
cana-4564	36	20	mails	mail	NOUN
cana-4564	36	21	which	which	PRON
cana-4564	36	22	are	be	AUX
cana-4564	36	23	affectingthe	affectingthe	DET
cana-4564	36	24	various	various	ADJ
cana-4564	36	25	benefits	benefit	NOUN
cana-4564	36	26	provided	provide	VERB
cana-4564	36	27	by	by	ADP
cana-4564	36	28	the	the	DET
cana-4564	36	29	various	various	ADJ
cana-4564	36	30	emails	email	NOUN
cana-4564	36	31	.	.	PUNCT
cana-4564	37	1	the	the	DET
cana-4564	37	2	model	model	NOUN
cana-4564	37	3	for	for	ADP
cana-4564	37	4	the	the	DET
cana-4564	37	5	spam	spam	NOUN
cana-4564	37	6	detection	detection	NOUN
cana-4564	37	7	will	will	AUX
cana-4564	37	8	consists	consist	VERB
cana-4564	37	9	of	of	ADP
cana-4564	37	10	the	the	DET
cana-4564	37	11	comparison	comparison	NOUN
cana-4564	37	12	of	of	ADP
cana-4564	37	13	the	the	DET
cana-4564	37	14	non	non	ADJ
cana-4564	37	15	-	-	ADJ
cana-4564	37	16	spam	spam	ADJ
cana-4564	37	17	mails	mail	NOUN
cana-4564	37	18	and	and	CCONJ
cana-4564	37	19	the	the	DET
cana-4564	37	20	malicious	malicious	ADJ
cana-4564	37	21	spam	spam	NOUN
cana-4564	37	22	mails	mail	NOUN
cana-4564	37	23	,	,	PUNCT
cana-4564	37	24	to	to	PART
cana-4564	37	25	stop	stop	VERB
cana-4564	37	26	receiving	receive	VERB
cana-4564	37	27	of	of	ADP
cana-4564	37	28	the	the	DET
cana-4564	37	29	spam	spam	NOUN
cana-4564	37	30	mails	mail	NOUN
cana-4564	37	31	into	into	ADP
cana-4564	37	32	the	the	DET
cana-4564	37	33	inbox	inbox	NOUN
cana-4564	37	34	of	of	ADP
cana-4564	37	35	the	the	DET
cana-4564	37	36	email	email	NOUN
cana-4564	37	37	users	user	NOUN
cana-4564	37	38	which	which	PRON
cana-4564	37	39	helps	help	VERB
cana-4564	37	40	tostop	tostop	ADJ
cana-4564	37	41	theflow	theflow	NOUN
cana-4564	37	42	of	of	ADP
cana-4564	37	43	the	the	DET
cana-4564	37	44	spam	spam	NOUN
cana-4564	37	45	mail	mail	NOUN
cana-4564	37	46	which	which	PRON
cana-4564	37	47	are	be	AUX
cana-4564	37	48	received	receive	VERB
cana-4564	37	49	by	by	ADP
cana-4564	37	50	the	the	DET
cana-4564	37	51	user’sinbox	user’sinbox	NOUN
cana-4564	37	52	[	[	X
cana-4564	37	53	10,11	10,11	NOUN
cana-4564	37	54	]	]	X
cana-4564	37	55	.	.	PUNCT
cana-4564	38	1	the	the	DET
cana-4564	38	2	first	first	ADJ
cana-4564	38	3	phaseof	phaseof	NOUN
cana-4564	38	4	this	this	DET
cana-4564	38	5	model	model	NOUN
cana-4564	38	6	is	be	AUX
cana-4564	38	7	the	the	DET
cana-4564	38	8	filtering	filter	VERB
cana-4564	38	9	process	process	NOUN
cana-4564	38	10	in	in	ADP
cana-4564	38	11	which	which	PRON
cana-4564	38	12	the	the	DET
cana-4564	38	13	spam	spam	NOUN
cana-4564	38	14	mails	mail	NOUN
cana-4564	38	15	are	be	AUX
cana-4564	38	16	detected	detect	VERB
cana-4564	38	17	to	to	PART
cana-4564	38	18	prevent	prevent	VERB
cana-4564	38	19	the	the	DET
cana-4564	38	20	junk	junk	NOUN
cana-4564	38	21	and	and	CCONJ
cana-4564	38	22	unwanted	unwanted	ADJ
cana-4564	38	23	mails	mail	NOUN
cana-4564	38	24	from	from	ADP
cana-4564	38	25	the	the	DET
cana-4564	38	26	inbox	inbox	NOUN
cana-4564	38	27	.	.	PUNCT
cana-4564	39	1	these	these	DET
cana-4564	39	2	spam	spam	NOUN
cana-4564	39	3	filters	filter	NOUN
cana-4564	39	4	will	will	AUX
cana-4564	39	5	recognize	recognize	VERB
cana-4564	39	6	the	the	DET
cana-4564	39	7	spam	spam	NOUN
cana-4564	39	8	emails	email	NOUN
cana-4564	39	9	by	by	ADP
cana-4564	39	10	analysing	analyse	VERB
cana-4564	39	11	the	the	DET
cana-4564	39	12	content	content	NOUN
cana-4564	39	13	of	of	ADP
cana-4564	39	14	the	the	DET
cana-4564	39	15	data	datum	NOUN
cana-4564	39	16	with	with	ADP
cana-4564	39	17	the	the	DET
cana-4564	39	18	additional	additional	ADJ
cana-4564	39	19	information	information	NOUN
cana-4564	39	20	about	about	ADP
cana-4564	39	21	the	the	DET
cana-4564	39	22	mail	mail	NOUN
cana-4564	39	23	[	[	X
cana-4564	39	24	12	12	NUM
cana-4564	39	25	]	]	PUNCT
cana-4564	39	26	.	.	PUNCT
cana-4564	40	1	in	in	ADP
cana-4564	40	2	early	early	ADJ
cana-4564	40	3	stage	stage	NOUN
cana-4564	40	4	,	,	PUNCT
cana-4564	40	5	the	the	DET
cana-4564	40	6	spam	spam	NOUN
cana-4564	40	7	filters	filter	NOUN
cana-4564	40	8	will	will	AUX
cana-4564	40	9	be	be	AUX
cana-4564	40	10	implemented	implement	VERB
cana-4564	40	11	on	on	ADP
cana-4564	40	12	the	the	DET
cana-4564	40	13	result	result	NOUN
cana-4564	40	14	of	of	ADP
cana-4564	40	15	the	the	DET
cana-4564	40	16	blacklists	blacklist	NOUN
cana-4564	40	17	which	which	PRON
cana-4564	40	18	are	be	AUX
cana-4564	40	19	recognized	recognize	VERB
cana-4564	40	20	as	as	ADP
cana-4564	40	21	the	the	DET
cana-4564	40	22	spammers	spammer	NOUN
cana-4564	40	23	,	,	PUNCT
cana-4564	40	24	then	then	ADV
cana-4564	40	25	the	the	DET
cana-4564	40	26	keyword	keyword	NOUN
cana-4564	40	27	filtering	filtering	NOUN
cana-4564	40	28	is	be	AUX
cana-4564	40	29	implemented	implement	VERB
cana-4564	40	30	and	and	CCONJ
cana-4564	40	31	the	the	DET
cana-4564	40	32	user	user	NOUN
cana-4564	40	33	-	-	PUNCT
cana-4564	40	34	defined	define	VERB
cana-4564	40	35	rules	rule	NOUN
cana-4564	40	36	are	be	AUX
cana-4564	40	37	grouped	group	VERB
cana-4564	40	38	together	together	ADV
cana-4564	40	39	to	to	PART
cana-4564	40	40	form	form	VERB
cana-4564	40	41	the	the	DET
cana-4564	40	42	model	model	NOUN
cana-4564	40	43	which	which	PRON
cana-4564	40	44	is	be	AUX
cana-4564	40	45	based	base	VERB
cana-4564	40	46	on	on	ADP
cana-4564	40	47	the	the	DET
cana-4564	40	48	blacklists	blacklist	NOUN
cana-4564	40	49	of	of	ADP
cana-4564	40	50	the	the	DET
cana-4564	40	51	recognizedspammers	recognizedspammer	NOUN
cana-4564	40	52	,	,	PUNCT
cana-4564	40	53	keyword	keyword	NOUN
cana-4564	40	54	-	-	PUNCT
cana-4564	40	55	based	base	VERB
cana-4564	40	56	filtering	filtering	NOUN
cana-4564	40	57	,	,	PUNCT
cana-4564	40	58	and	and	CCONJ
cana-4564	40	59	also	also	ADV
cana-4564	40	60	with	with	ADP
cana-4564	40	61	the	the	DET
cana-4564	40	62	user	user	NOUN
cana-4564	40	63	-	-	PUNCT
cana-4564	40	64	defined	define	VERB
cana-4564	40	65	rules	rule	NOUN
cana-4564	40	66	of	of	ADP
cana-4564	40	67	the	the	DET
cana-4564	40	68	group	group	NOUN
cana-4564	41	1	[	[	X
cana-4564	41	2	13,14	13,14	NUM
cana-4564	41	3	]	]	PUNCT
cana-4564	41	4	.	.	PUNCT
cana-4564	42	1	furthermore	furthermore	ADV
cana-4564	42	2	,	,	PUNCT
cana-4564	42	3	these	these	DET
cana-4564	42	4	specific	specific	ADJ
cana-4564	42	5	methods	method	NOUN
cana-4564	42	6	have	have	VERB
cana-4564	42	7	to	to	PART
cana-4564	42	8	be	be	AUX
cana-4564	42	9	continuously	continuously	ADV
cana-4564	42	10	updated	update	VERB
cana-4564	42	11	and	and	CCONJ
cana-4564	42	12	regular	regular	ADJ
cana-4564	42	13	maintenance	maintenance	NOUN
cana-4564	42	14	have	have	VERB
cana-4564	42	15	to	to	PART
cana-4564	42	16	be	be	AUX
cana-4564	42	17	monitored	monitor	VERB
cana-4564	42	18	as	as	SCONJ
cana-4564	42	19	these	these	DET
cana-4564	42	20	suffers	suffer	NOUN
cana-4564	42	21	from	from	ADP
cana-4564	42	22	the	the	DET
cana-4564	42	23	ineffective	ineffective	ADJ
cana-4564	42	24	and	and	CCONJ
cana-4564	42	25	time	time	NOUN
cana-4564	42	26	-	-	PUNCT
cana-4564	42	27	consuming	consume	VERB
cana-4564	42	28	problems.2.proposed	problems.2.propose	VERB
cana-4564	42	29	model	model	NOUN
cana-4564	42	30	:	:	PUNCT
cana-4564	42	31	in	in	ADP
cana-4564	42	32	the	the	DET
cana-4564	42	33	proposed	propose	VERB
cana-4564	42	34	model	model	NOUN
cana-4564	42	35	we	we	PRON
cana-4564	42	36	will	will	AUX
cana-4564	42	37	detect	detect	VERB
cana-4564	42	38	the	the	DET
cana-4564	42	39	mails	mail	NOUN
cana-4564	42	40	with	with	ADP
cana-4564	42	41	the	the	DET
cana-4564	42	42	help	help	NOUN
cana-4564	42	43	of	of	ADP
cana-4564	42	44	different	different	ADJ
cana-4564	42	45	machine	machine	NOUN
cana-4564	42	46	learning	learn	VERB
cana-4564	42	47	approaches	approach	NOUN
cana-4564	42	48	and	and	CCONJ
cana-4564	42	49	finally	finally	ADV
cana-4564	42	50	we	we	PRON
cana-4564	42	51	will	will	AUX
cana-4564	42	52	propose	propose	VERB
cana-4564	42	53	the	the	DET
cana-4564	42	54	machine	machine	NOUN
cana-4564	42	55	algorithm	algorithm	NOUN
cana-4564	42	56	whose	whose	DET
cana-4564	42	57	accuracy	accuracy	NOUN
cana-4564	42	58	is	be	AUX
cana-4564	42	59	high	high	ADJ
cana-4564	42	60	and	and	CCONJ
cana-4564	42	61	the	the	DET
cana-4564	42	62	detection	detection	NOUN
cana-4564	42	63	of	of	ADP
cana-4564	42	64	the	the	DET
cana-4564	42	65	spam	spam	NOUN
cana-4564	42	66	mails	mail	NOUN
cana-4564	42	67	are	be	AUX
cana-4564	42	68	more	more	ADJ
cana-4564	42	69	.	.	PUNCT
cana-4564	43	1	we	we	PRON
cana-4564	43	2	will	will	AUX
cana-4564	43	3	start	start	VERB
cana-4564	43	4	the	the	DET
cana-4564	43	5	model	model	NOUN
cana-4564	43	6	by	by	ADP
cana-4564	43	7	collecting	collect	VERB
cana-4564	43	8	the	the	DET
cana-4564	43	9	appropriate	appropriate	ADJ
cana-4564	43	10	dataset	dataset	NOUN
cana-4564	43	11	for	for	ADP
cana-4564	43	12	the	the	DET
cana-4564	43	13	spam	spam	NOUN
cana-4564	43	14	detection	detection	NOUN
cana-4564	43	15	and	and	CCONJ
cana-4564	43	16	them	they	PRON
cana-4564	43	17	we	we	PRON
cana-4564	43	18	will	will	AUX
cana-4564	43	19	implement	implement	VERB
cana-4564	43	20	the	the	DET
cana-4564	43	21	feature	feature	NOUN
cana-4564	43	22	extraction	extraction	NOUN
cana-4564	43	23	through	through	ADP
cana-4564	43	24	which	which	PRON
cana-4564	43	25	we	we	PRON
cana-4564	43	26	can	can	AUX
cana-4564	43	27	remove	remove	VERB
cana-4564	43	28	the	the	DET
cana-4564	43	29	unwanted	unwanted	ADJ
cana-4564	43	30	data	datum	NOUN
cana-4564	43	31	like	like	ADP
cana-4564	43	32	not	not	PART
cana-4564	43	33	related	relate	VERB
cana-4564	43	34	to	to	ADP
cana-4564	43	35	the	the	DET
cana-4564	43	36	spam	spam	NOUN
cana-4564	43	37	or	or	CCONJ
cana-4564	43	38	ham	ham	NOUN
cana-4564	43	39	mails	mail	NOUN
cana-4564	43	40	.	.	PUNCT
cana-4564	44	1	then	then	ADV
cana-4564	44	2	we	we	PRON
cana-4564	44	3	can	can	AUX
cana-4564	44	4	use	use	VERB
cana-4564	44	5	different	different	ADJ
cana-4564	44	6	machine	machine	NOUN
cana-4564	44	7	learning	learning	NOUN
cana-4564	44	8	models	model	NOUN
cana-4564	44	9	for	for	ADP
cana-4564	44	10	classifying	classify	VERB
cana-4564	44	11	the	the	DET
cana-4564	44	12	mails	mail	NOUN
cana-4564	44	13	into	into	ADP
cana-4564	44	14	spam	spam	NOUN
cana-4564	44	15	mails	mail	NOUN
cana-4564	44	16	or	or	CCONJ
cana-4564	44	17	ham	ham	NOUN
cana-4564	44	18	mails	mail	NOUN
cana-4564	44	19	.	.	PUNCT
cana-4564	45	1	before	before	SCONJ
cana-4564	45	2	that	that	SCONJ
cana-4564	45	3	we	we	PRON
cana-4564	45	4	will	will	AUX
cana-4564	45	5	implement	implement	VERB
cana-4564	45	6	the	the	DET
cana-4564	45	7	label	label	NOUN
cana-4564	45	8	encoding	encoding	NOUN
cana-4564	45	9	for	for	ADP
cana-4564	45	10	the	the	DET
cana-4564	45	11	mails	mail	NOUN
cana-4564	45	12	with	with	ADP
cana-4564	45	13	zero	zero	NUM
cana-4564	45	14	and	and	CCONJ
cana-4564	45	15	one	one	NUM
cana-4564	45	16	to	to	PART
cana-4564	45	17	train	train	VERB
cana-4564	45	18	and	and	CCONJ
cana-4564	45	19	test	test	VERB
cana-4564	45	20	the	the	DET
cana-4564	45	21	dataset	dataset	NOUN
cana-4564	45	22	.	.	PUNCT
cana-4564	46	1	3.related	3.related	NUM
cana-4564	46	2	work	work	NOUN
cana-4564	46	3	classification	classification	NOUN
cana-4564	46	4	:	:	PUNCT
cana-4564	46	5	the	the	DET
cana-4564	46	6	important	important	ADJ
cana-4564	46	7	part	part	NOUN
cana-4564	46	8	of	of	ADP
cana-4564	46	9	our	our	PRON
cana-4564	46	10	proposed	propose	VERB
cana-4564	46	11	work	work	NOUN
cana-4564	46	12	is	be	AUX
cana-4564	46	13	the	the	DET
cana-4564	46	14	classification	classification	NOUN
cana-4564	46	15	module	module	NOUN
cana-4564	46	16	.	.	PUNCT
cana-4564	47	1	in	in	ADP
cana-4564	47	2	this	this	DET
cana-4564	47	3	module	module	NOUN
cana-4564	47	4	we	we	PRON
cana-4564	47	5	will	will	AUX
cana-4564	47	6	use	use	VERB
cana-4564	47	7	the	the	DET
cana-4564	47	8	four	four	NUM
cana-4564	47	9	different	different	ADJ
cana-4564	47	10	classifiers	classifier	NOUN
cana-4564	47	11	likenaïve	likenaïve	PROPN
cana-4564	47	12	bayes	bayes	PROPN
cana-4564	47	13	algorithm	algorithm	PROPN
cana-4564	48	1	[	[	X
cana-4564	48	2	15	15	NUM
cana-4564	48	3	]	]	X
cana-4564	48	4	,	,	PUNCT
cana-4564	48	5	random	random	ADJ
cana-4564	48	6	forest	forest	NOUN
cana-4564	48	7	algorithm	algorithm	NOUN
cana-4564	49	1	[	[	X
cana-4564	49	2	16	16	NUM
cana-4564	49	3	]	]	PUNCT
cana-4564	49	4	,	,	PUNCT
cana-4564	49	5	decision	decision	NOUN
cana-4564	49	6	tress	tress	NOUN
cana-4564	49	7	classifier	classifier	NOUN
cana-4564	49	8	and	and	CCONJ
cana-4564	49	9	the	the	DET
cana-4564	49	10	k	k	NOUN
cana-4564	49	11	-	-	PUNCT
cana-4564	49	12	nearest	near	ADJ
cana-4564	49	13	neighbour	neighbour	ADJ
cana-4564	49	14	algorithm	algorithm	NOUN
cana-4564	49	15	which	which	PRON
cana-4564	49	16	are	be	AUX
cana-4564	49	17	used	use	VERB
cana-4564	49	18	to	to	PART
cana-4564	49	19	classify	classify	VERB
cana-4564	49	20	all	all	DET
cana-4564	49	21	the	the	DET
cana-4564	49	22	available	available	ADJ
cana-4564	49	23	emails	email	NOUN
cana-4564	49	24	into	into	ADP
cana-4564	49	25	the	the	DET
cana-4564	49	26	spam	spam	NOUN
cana-4564	49	27	mails	mail	NOUN
cana-4564	49	28	or	or	CCONJ
cana-4564	49	29	the	the	DET
cana-4564	49	30	ham	ham	NOUN
cana-4564	49	31	mails	mail	NOUN
cana-4564	49	32	.	.	PUNCT
cana-4564	50	1	the	the	DET
cana-4564	50	2	selected	select	VERB
cana-4564	50	3	dataset	dataset	NOUN
cana-4564	50	4	will	will	AUX
cana-4564	50	5	be	be	AUX
cana-4564	50	6	split	split	VERB
cana-4564	50	7	into	into	ADP
cana-4564	50	8	two	two	NUM
cana-4564	50	9	parts	part	NOUN
cana-4564	50	10	like	like	ADP
cana-4564	50	11	80	80	NUM
cana-4564	50	12	%	%	NOUN
cana-4564	50	13	for	for	ADP
cana-4564	50	14	training	training	NOUN
cana-4564	50	15	which	which	PRON
cana-4564	50	16	can	can	AUX
cana-4564	50	17	be	be	AUX
cana-4564	50	18	named	name	VERB
cana-4564	50	19	as	as	ADP
cana-4564	50	20	thetraining	thetraine	VERB
cana-4564	50	21	dataset	dataset	NOUN
cana-4564	50	22	and	and	CCONJ
cana-4564	50	23	the	the	DET
cana-4564	50	24	another	another	DET
cana-4564	50	25	20	20	NUM
cana-4564	50	26	%	%	NOUN
cana-4564	50	27	for	for	ADP
cana-4564	50	28	testing	testing	NOUN
cana-4564	50	29	which	which	PRON
cana-4564	50	30	can	can	AUX
cana-4564	50	31	be	be	AUX
cana-4564	50	32	named	name	VERB
cana-4564	50	33	as	as	ADP
cana-4564	50	34	the	the	DET
cana-4564	50	35	testing	testing	NOUN
cana-4564	50	36	dataset	dataset	NOUN
cana-4564	50	37	.	.	PUNCT
cana-4564	51	1	the	the	DET
cana-4564	51	2	classification	classification	NOUN
cana-4564	51	3	algorithms	algorithm	NOUN
cana-4564	51	4	likenaïve	likenaïve	PROPN
cana-4564	51	5	bayes	bayes	PROPN
cana-4564	51	6	algorithm	algorithm	PROPN
cana-4564	51	7	,	,	PUNCT
cana-4564	51	8	random	random	ADJ
cana-4564	51	9	forest	forest	NOUN
cana-4564	51	10	algorithm	algorithm	NOUN
cana-4564	51	11	,	,	PUNCT
cana-4564	51	12	decision	decision	NOUN
cana-4564	51	13	tress	tress	NOUN
cana-4564	51	14	classifier	classifier	NOUN
cana-4564	51	15	and	and	CCONJ
cana-4564	51	16	k	k	NOUN
cana-4564	51	17	-	-	PUNCT
cana-4564	51	18	nearest	near	ADJ
cana-4564	51	19	neighbour	neighbour	NOUN
cana-4564	51	20	algorithmare	algorithmare	NOUN
cana-4564	51	21	built	build	VERB
cana-4564	51	22	for	for	ADP
cana-4564	51	23	the	the	DET
cana-4564	51	24	dataset	dataset	NOUN
cana-4564	51	25	training	training	NOUN
cana-4564	51	26	.	.	PUNCT
cana-4564	52	1	communications	communication	NOUN
cana-4564	52	2	on	on	ADP
cana-4564	52	3	applied	apply	VERB
cana-4564	52	4	nonlinear	nonlinear	ADJ
cana-4564	52	5	analysis	analysis	NOUN
cana-4564	52	6	issn	issn	NOUN
cana-4564	52	7	:	:	PUNCT
cana-4564	52	8	1074	1074	NUM
cana-4564	52	9	-	-	PUNCT
cana-4564	52	10	133x	133x	NUM
cana-4564	52	11	vol	vol	NOUN
cana-4564	52	12	32	32	NUM
cana-4564	52	13	no	no	NOUN
cana-4564	52	14	.	.	PUNCT
cana-4564	53	1	9s	9s	NUM
cana-4564	53	2	(	(	PUNCT
cana-4564	53	3	2025	2025	NUM
cana-4564	53	4	)	)	PUNCT
cana-4564	53	5	2612	2612	NUM
cana-4564	53	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4564	53	7	4	4	X
cana-4564	53	8	.	.	X
cana-4564	54	1	implementation	implementation	NOUN
cana-4564	54	2	and	and	CCONJ
cana-4564	54	3	experimental	experimental	ADJ
cana-4564	54	4	study	study	NOUN
cana-4564	54	5	the	the	DET
cana-4564	54	6	basic	basic	ADJ
cana-4564	54	7	performance	performance	NOUN
cana-4564	54	8	of	of	ADP
cana-4564	54	9	all	all	DET
cana-4564	54	10	the	the	DET
cana-4564	54	11	above	above	ADJ
cana-4564	54	12	mentioned	mention	VERB
cana-4564	54	13	classification	classification	NOUN
cana-4564	54	14	algorithms	algorithm	NOUN
cana-4564	54	15	will	will	AUX
cana-4564	54	16	be	be	AUX
cana-4564	54	17	computed	compute	VERB
cana-4564	54	18	with	with	ADP
cana-4564	54	19	the	the	DET
cana-4564	54	20	various	various	ADJ
cana-4564	54	21	parameters	parameter	NOUN
cana-4564	54	22	and	and	CCONJ
cana-4564	54	23	metrics	metric	NOUN
cana-4564	54	24	like	like	ADP
cana-4564	54	25	precision	precision	NOUN
cana-4564	54	26	value	value	NOUN
cana-4564	54	27	,	,	PUNCT
cana-4564	54	28	recall	recall	NOUN
cana-4564	54	29	value	value	NOUN
cana-4564	54	30	,	,	PUNCT
cana-4564	54	31	f	f	X
cana-4564	54	32	-	-	PUNCT
cana-4564	54	33	score	score	NOUN
cana-4564	54	34	value	value	NOUN
cana-4564	54	35	and	and	CCONJ
cana-4564	54	36	the	the	DET
cana-4564	54	37	support	support	NOUN
cana-4564	54	38	.	.	PUNCT
cana-4564	55	1	finally	finally	ADV
cana-4564	55	2	,	,	PUNCT
cana-4564	55	3	the	the	DET
cana-4564	55	4	confusion	confusion	NOUN
cana-4564	55	5	matrix	matrix	NOUN
cana-4564	55	6	will	will	AUX
cana-4564	55	7	be	be	AUX
cana-4564	55	8	used	use	VERB
cana-4564	55	9	for	for	ADP
cana-4564	55	10	compute	compute	NOUN
cana-4564	55	11	all	all	DET
cana-4564	55	12	the	the	DET
cana-4564	55	13	required	require	VERB
cana-4564	55	14	measures	measure	NOUN
cana-4564	55	15	.	.	PUNCT
cana-4564	56	1	the	the	DET
cana-4564	56	2	four	four	NUM
cana-4564	56	3	values	value	NOUN
cana-4564	56	4	likethe	likethe	ADJ
cana-4564	56	5	true	true	ADJ
cana-4564	56	6	positive	positive	ADJ
cana-4564	56	7	value	value	NOUN
cana-4564	56	8	,	,	PUNCT
cana-4564	56	9	the	the	DET
cana-4564	56	10	true	true	ADJ
cana-4564	56	11	negative	negative	ADJ
cana-4564	56	12	value	value	NOUN
cana-4564	56	13	,	,	PUNCT
cana-4564	56	14	the	the	DET
cana-4564	56	15	false	false	ADJ
cana-4564	56	16	negative	negative	ADJ
cana-4564	56	17	value	value	NOUN
cana-4564	56	18	and	and	CCONJ
cana-4564	56	19	the	the	DET
cana-4564	56	20	false	false	ADJ
cana-4564	56	21	positive	positive	ADJ
cana-4564	56	22	value	value	NOUN
cana-4564	56	23	can	can	AUX
cana-4564	56	24	be	be	AUX
cana-4564	56	25	defined	define	VERB
cana-4564	56	26	as	as	ADP
cana-4564	56	27	below	below	ADP
cana-4564	56	28	which	which	PRON
cana-4564	56	29	can	can	AUX
cana-4564	56	30	be	be	AUX
cana-4564	56	31	helpful	helpful	ADJ
cana-4564	56	32	to	to	PART
cana-4564	56	33	generate	generate	VERB
cana-4564	56	34	the	the	DET
cana-4564	56	35	confusion	confusion	NOUN
cana-4564	56	36	matrix	matrix	NOUN
cana-4564	56	37	.	.	PUNCT
cana-4564	57	1	tn	tn	PROPN
cana-4564	57	2	(	(	PUNCT
cana-4564	57	3	true	true	ADJ
cana-4564	57	4	negative	negative	NOUN
cana-4564	57	5	)	)	PUNCT
cana-4564	57	6	will	will	AUX
cana-4564	57	7	specifythe	specifythe	PRON
cana-4564	57	8	count	count	NOUN
cana-4564	57	9	of	of	ADP
cana-4564	57	10	the	the	DET
cana-4564	57	11	specified	specify	VERB
cana-4564	57	12	ham	ham	NOUN
cana-4564	57	13	emails	email	NOUN
cana-4564	57	14	which	which	PRON
cana-4564	57	15	have	have	AUX
cana-4564	57	16	beencorrectly	beencorrectly	ADV
cana-4564	57	17	classified	classify	VERB
cana-4564	57	18	as	as	ADP
cana-4564	57	19	the	the	DET
cana-4564	57	20	ham	ham	NOUN
cana-4564	57	21	mails	mail	NOUN
cana-4564	57	22	.	.	PUNCT
cana-4564	58	1	tp	tp	NOUN
cana-4564	58	2	(	(	PUNCT
cana-4564	58	3	true	true	ADJ
cana-4564	58	4	positive	positive	ADJ
cana-4564	58	5	)	)	PUNCT
cana-4564	58	6	will	will	AUX
cana-4564	58	7	specify	specify	VERB
cana-4564	58	8	thecount	thecount	NOUN
cana-4564	58	9	of	of	ADP
cana-4564	58	10	the	the	DET
cana-4564	58	11	specified	specify	VERB
cana-4564	58	12	spam	spam	NOUN
cana-4564	58	13	emails	email	NOUN
cana-4564	58	14	which	which	PRON
cana-4564	58	15	have	have	AUX
cana-4564	58	16	beencorrectly	beencorrectly	ADV
cana-4564	58	17	classified	classify	VERB
cana-4564	58	18	as	as	ADP
cana-4564	58	19	the	the	DET
cana-4564	58	20	spam	spam	NOUN
cana-4564	58	21	mails	mail	NOUN
cana-4564	58	22	.	.	PUNCT
cana-4564	59	1	fn	fn	INTJ
cana-4564	59	2	(	(	PUNCT
cana-4564	59	3	false	false	ADJ
cana-4564	59	4	negative	negative	NOUN
cana-4564	59	5	)	)	PUNCT
cana-4564	59	6	will	will	AUX
cana-4564	59	7	specify	specify	VERB
cana-4564	59	8	thecount	thecount	NOUN
cana-4564	59	9	of	of	ADP
cana-4564	59	10	the	the	DET
cana-4564	59	11	specified	specify	VERB
cana-4564	59	12	spam	spam	NOUN
cana-4564	59	13	emails	email	NOUN
cana-4564	59	14	which	which	PRON
cana-4564	59	15	have	have	AUX
cana-4564	59	16	been	be	AUX
cana-4564	59	17	classified	classify	VERB
cana-4564	59	18	as	as	ADP
cana-4564	59	19	the	the	DET
cana-4564	59	20	ham	ham	NOUN
cana-4564	59	21	mails	mail	NOUN
cana-4564	59	22	.	.	PUNCT
cana-4564	60	1	fp	fp	X
cana-4564	60	2	(	(	PUNCT
cana-4564	60	3	false	false	ADJ
cana-4564	60	4	positive	positive	ADJ
cana-4564	60	5	)	)	PUNCT
cana-4564	60	6	will	will	AUX
cana-4564	60	7	specifythe	specifythe	PRON
cana-4564	60	8	count	count	NOUN
cana-4564	60	9	of	of	ADP
cana-4564	60	10	the	the	DET
cana-4564	60	11	specified	specify	VERB
cana-4564	60	12	ham	ham	NOUN
cana-4564	60	13	emails	email	NOUN
cana-4564	60	14	which	which	PRON
cana-4564	60	15	have	have	AUX
cana-4564	60	16	beenclassified	beenclassifie	VERB
cana-4564	60	17	as	as	ADP
cana-4564	60	18	the	the	DET
cana-4564	60	19	spam	spam	NOUN
cana-4564	60	20	mails	mail	NOUN
cana-4564	60	21	.	.	PUNCT
cana-4564	61	1	precision	precision	NOUN
cana-4564	61	2	value	value	NOUN
cana-4564	61	3	will	will	AUX
cana-4564	61	4	specify	specify	VERB
cana-4564	61	5	the	the	DET
cana-4564	61	6	relationship	relationship	NOUN
cana-4564	61	7	among	among	ADP
cana-4564	61	8	the	the	DET
cana-4564	61	9	true	true	ADJ
cana-4564	61	10	positivesvalue	positivesvalue	NOUN
cana-4564	61	11	,	,	PUNCT
cana-4564	61	12	the	the	DET
cana-4564	61	13	predicted	predict	VERB
cana-4564	61	14	positivesvalue	positivesvalue	NOUN
cana-4564	61	15	whereas	whereas	SCONJ
cana-4564	61	16	the	the	DET
cana-4564	61	17	recall	recall	NOUN
cana-4564	61	18	valuewill	valuewill	ADV
cana-4564	61	19	define	define	VERB
cana-4564	61	20	the	the	DET
cana-4564	61	21	ratio	ratio	NOUN
cana-4564	61	22	calculated	calculate	VERB
cana-4564	61	23	from	from	ADP
cana-4564	61	24	the	the	DET
cana-4564	61	25	derived	derive	VERB
cana-4564	61	26	true	true	ADJ
cana-4564	61	27	positive	positive	ADJ
cana-4564	61	28	values	value	NOUN
cana-4564	61	29	over	over	ADP
cana-4564	61	30	the	the	DET
cana-4564	61	31	completepositive	completepositive	ADJ
cana-4564	61	32	values	value	NOUN
cana-4564	61	33	.	.	PUNCT
cana-4564	62	1	the	the	DET
cana-4564	62	2	value	value	NOUN
cana-4564	62	3	for	for	ADP
cana-4564	62	4	precision	precision	NOUN
cana-4564	62	5	will	will	AUX
cana-4564	62	6	determines	determine	VERB
cana-4564	62	7	the	the	DET
cana-4564	62	8	accuratepercentage	accuratepercentage	NOUN
cana-4564	62	9	value	value	NOUN
cana-4564	62	10	of	of	ADP
cana-4564	62	11	the	the	DET
cana-4564	62	12	spam	spam	NOUN
cana-4564	62	13	emails	email	NOUN
cana-4564	62	14	which	which	PRON
cana-4564	62	15	are	be	AUX
cana-4564	62	16	actually	actually	ADV
cana-4564	62	17	predicted	predict	VERB
cana-4564	62	18	as	as	ADP
cana-4564	62	19	the	the	DET
cana-4564	62	20	spam	spam	NOUN
cana-4564	62	21	mails	mail	NOUN
cana-4564	62	22	among	among	ADP
cana-4564	62	23	all	all	DET
cana-4564	62	24	the	the	DET
cana-4564	62	25	predicted	predict	VERB
cana-4564	62	26	positive	positive	ADJ
cana-4564	62	27	values	value	NOUN
cana-4564	62	28	.	.	PUNCT
cana-4564	63	1	recall	recall	VERB
cana-4564	63	2	valuewill	valuewill	NOUN
cana-4564	63	3	determine	determine	VERB
cana-4564	63	4	the	the	DET
cana-4564	63	5	percentage	percentage	NOUN
cana-4564	63	6	of	of	ADP
cana-4564	63	7	the	the	DET
cana-4564	63	8	spam	spam	NOUN
cana-4564	63	9	emails	email	NOUN
cana-4564	63	10	which	which	PRON
cana-4564	63	11	are	be	AUX
cana-4564	63	12	actually	actually	ADV
cana-4564	63	13	predicted	predict	VERB
cana-4564	63	14	as	as	ADP
cana-4564	63	15	the	the	DET
cana-4564	63	16	spam	spam	NOUN
cana-4564	63	17	mails	mail	NOUN
cana-4564	63	18	among	among	ADP
cana-4564	63	19	the	the	DET
cana-4564	63	20	total	total	ADJ
cana-4564	63	21	number	number	NOUN
cana-4564	63	22	of	of	ADP
cana-4564	63	23	the	the	DET
cana-4564	63	24	spam	spam	NOUN
cana-4564	63	25	emails	email	NOUN
cana-4564	63	26	which	which	PRON
cana-4564	63	27	are	be	AUX
cana-4564	63	28	predicted	predict	VERB
cana-4564	63	29	as	as	ADP
cana-4564	63	30	the	the	DET
cana-4564	63	31	ham	ham	NOUN
cana-4564	63	32	and	and	CCONJ
cana-4564	63	33	the	the	DET
cana-4564	63	34	spam	spam	NOUN
cana-4564	63	35	.	.	PUNCT
cana-4564	64	1	precision	precision	NOUN
cana-4564	64	2	value	value	NOUN
cana-4564	64	3	=	=	NOUN
cana-4564	64	4	count	count	NOUN
cana-4564	64	5	of	of	ADP
cana-4564	64	6	spam	spam	NOUN
cana-4564	64	7	emails	email	NOUN
cana-4564	64	8	which	which	PRON
cana-4564	64	9	are	be	AUX
cana-4564	64	10	classified	classify	VERB
cana-4564	64	11	as	as	ADP
cana-4564	64	12	spam	spam	NOUN
cana-4564	64	13	/	/	SYM
cana-4564	64	14	total	total	ADJ
cana-4564	64	15	count	count	NOUN
cana-4564	64	16	of	of	ADP
cana-4564	64	17	positive	positive	ADJ
cana-4564	64	18	predictions	prediction	NOUN
cana-4564	64	19	.	.	PUNCT
cana-4564	65	1	recall	recall	NOUN
cana-4564	65	2	value	value	NOUN
cana-4564	65	3	=	=	NOUN
cana-4564	65	4	count	count	NOUN
cana-4564	65	5	of	of	ADP
cana-4564	65	6	spam	spam	NOUN
cana-4564	65	7	emails	email	NOUN
cana-4564	65	8	which	which	PRON
cana-4564	65	9	are	be	AUX
cana-4564	65	10	classified	classify	VERB
cana-4564	65	11	as	as	ADP
cana-4564	65	12	spam	spam	NOUN
cana-4564	65	13	/	/	SYM
cana-4564	65	14	sum	sum	NOUN
cana-4564	65	15	of	of	ADP
cana-4564	65	16	true	true	ADJ
cana-4564	65	17	positive	positive	ADJ
cana-4564	65	18	and	and	CCONJ
cana-4564	65	19	the	the	DET
cana-4564	65	20	false	false	ADJ
cana-4564	65	21	negative	negative	ADJ
cana-4564	65	22	.	.	PUNCT
cana-4564	66	1	precision	precision	NOUN
cana-4564	66	2	value	value	NOUN
cana-4564	66	3	and	and	CCONJ
cana-4564	66	4	the	the	DET
cana-4564	66	5	recall	recall	NOUN
cana-4564	66	6	value	value	NOUN
cana-4564	66	7	are	be	AUX
cana-4564	66	8	the	the	DET
cana-4564	66	9	important	important	ADJ
cana-4564	66	10	measure	measure	NOUN
cana-4564	66	11	for	for	ADP
cana-4564	66	12	the	the	DET
cana-4564	66	13	classification	classification	NOUN
cana-4564	66	14	algorithm	algorithm	NOUN
cana-4564	66	15	.	.	PUNCT
cana-4564	67	1	but	but	CCONJ
cana-4564	67	2	the	the	DET
cana-4564	67	3	accuracy	accuracy	NOUN
cana-4564	67	4	value	value	NOUN
cana-4564	67	5	may	may	AUX
cana-4564	67	6	not	not	PART
cana-4564	67	7	be	be	AUX
cana-4564	67	8	always	always	ADV
cana-4564	67	9	suitable	suitable	ADJ
cana-4564	67	10	for	for	ADP
cana-4564	67	11	measuring	measure	VERB
cana-4564	67	12	the	the	DET
cana-4564	67	13	email	email	NOUN
cana-4564	67	14	dataset	dataset	VERB
cana-4564	67	15	when	when	SCONJ
cana-4564	67	16	the	the	DET
cana-4564	67	17	dataset	dataset	NOUN
cana-4564	67	18	belongs	belong	VERB
cana-4564	67	19	to	to	ADP
cana-4564	67	20	skewed.[16	skewed.[16	PROPN
cana-4564	67	21	]	]	PUNCT
cana-4564	67	22	the	the	DET
cana-4564	67	23	dataset	dataset	NOUN
cana-4564	67	24	was	be	AUX
cana-4564	67	25	taken	take	VERB
cana-4564	67	26	from	from	ADP
cana-4564	67	27	the	the	DET
cana-4564	67	28	email	email	NOUN
cana-4564	67	29	which	which	PRON
cana-4564	67	30	consists	consist	VERB
cana-4564	67	31	of	of	ADP
cana-4564	67	32	3002	3002	NUM
cana-4564	67	33	emails	email	NOUN
cana-4564	67	34	with	with	ADP
cana-4564	67	35	four	four	NUM
cana-4564	67	36	attributes	attribute	NOUN
cana-4564	67	37	.	.	PUNCT
cana-4564	68	1	then	then	ADV
cana-4564	68	2	the	the	DET
cana-4564	68	3	unnecessary	unnecessary	ADJ
cana-4564	68	4	columns	column	NOUN
cana-4564	68	5	were	be	AUX
cana-4564	68	6	removed	remove	VERB
cana-4564	68	7	.	.	PUNCT
cana-4564	69	1	thenall	thenall	VERB
cana-4564	69	2	the	the	DET
cana-4564	69	3	labels	label	NOUN
cana-4564	69	4	of	of	ADP
cana-4564	69	5	the	the	DET
cana-4564	69	6	“	"	PUNCT
cana-4564	69	7	spam	spam	NOUN
cana-4564	69	8	”	"	PUNCT
cana-4564	69	9	and	and	CCONJ
cana-4564	69	10	the	the	DET
cana-4564	69	11	“	"	PUNCT
cana-4564	69	12	ham	ham	NOUN
cana-4564	69	13	”	"	PUNCT
cana-4564	69	14	are	be	AUX
cana-4564	69	15	named	name	VERB
cana-4564	69	16	as	as	ADP
cana-4564	69	17	1,0	1,0	NUM
cana-4564	69	18	respectively	respectively	ADV
cana-4564	69	19	.	.	PUNCT
cana-4564	70	1	the	the	DET
cana-4564	70	2	pre	pre	ADJ
cana-4564	70	3	-	-	ADJ
cana-4564	70	4	processing	processing	ADJ
cana-4564	70	5	methods	method	NOUN
cana-4564	70	6	are	be	AUX
cana-4564	70	7	implemented	implement	VERB
cana-4564	70	8	to	to	PART
cana-4564	70	9	remove	remove	VERB
cana-4564	70	10	the	the	DET
cana-4564	70	11	special	special	ADJ
cana-4564	70	12	characters	character	NOUN
cana-4564	70	13	,	,	PUNCT
cana-4564	70	14	the	the	DET
cana-4564	70	15	stop	stop	NOUN
cana-4564	70	16	words	word	NOUN
cana-4564	70	17	,	,	PUNCT
cana-4564	70	18	the	the	DET
cana-4564	70	19	numerals	numeral	NOUN
cana-4564	70	20	.	.	PUNCT
cana-4564	71	1	then	then	ADV
cana-4564	71	2	the	the	DET
cana-4564	71	3	classification	classification	NOUN
cana-4564	71	4	algorithms	algorithm	NOUN
cana-4564	71	5	are	be	AUX
cana-4564	71	6	implemented.[18	implemented.[18	VERB
cana-4564	71	7	]	]	X
cana-4564	71	8	5	5	NUM
cana-4564	71	9	.	.	NOUN
cana-4564	71	10	results	result	NOUN
cana-4564	71	11	and	and	CCONJ
cana-4564	71	12	discussions	discussion	NOUN
cana-4564	71	13	in	in	ADP
cana-4564	71	14	the	the	DET
cana-4564	71	15	first	first	ADJ
cana-4564	71	16	experiment	experiment	NOUN
cana-4564	71	17	we	we	PRON
cana-4564	71	18	have	have	AUX
cana-4564	71	19	used	use	VERB
cana-4564	71	20	the	the	DET
cana-4564	71	21	naive	naive	ADJ
cana-4564	71	22	bayes	bayes	NOUN
cana-4564	71	23	classifier	classifier	NOUN
cana-4564	71	24	for	for	ADP
cana-4564	71	25	the	the	DET
cana-4564	71	26	spam	spam	NOUN
cana-4564	71	27	detection	detection	NOUN
cana-4564	71	28	and	and	CCONJ
cana-4564	71	29	calculated	calculate	VERB
cana-4564	71	30	the	the	DET
cana-4564	71	31	accuracy	accuracy	NOUN
cana-4564	71	32	,	,	PUNCT
cana-4564	71	33	then	then	ADV
cana-4564	71	34	we	we	PRON
cana-4564	71	35	implemented	implement	VERB
cana-4564	71	36	with	with	ADP
cana-4564	71	37	random	random	ADJ
cana-4564	71	38	forest	forest	NOUN
cana-4564	71	39	classifier	classifier	NOUN
cana-4564	71	40	algorithm	algorithm	PROPN
cana-4564	71	41	which	which	PRON
cana-4564	71	42	resulted	result	VERB
cana-4564	71	43	in	in	ADP
cana-4564	71	44	the	the	DET
cana-4564	71	45	better	well	ADJ
cana-4564	71	46	performance	performance	NOUN
cana-4564	71	47	compared	compare	VERB
cana-4564	71	48	to	to	ADP
cana-4564	71	49	the	the	DET
cana-4564	71	50	naïve	naïve	ADJ
cana-4564	71	51	bayes	bayes	NOUN
cana-4564	71	52	classifier	classifier	NOUN
cana-4564	71	53	,	,	PUNCT
cana-4564	71	54	and	and	CCONJ
cana-4564	71	55	also	also	ADV
cana-4564	71	56	implemented	implement	VERB
cana-4564	71	57	with	with	ADP
cana-4564	71	58	the	the	DET
cana-4564	71	59	other	other	ADJ
cana-4564	71	60	algorithms	algorithm	NOUN
cana-4564	71	61	like	like	ADP
cana-4564	71	62	k	k	NOUN
cana-4564	71	63	-	-	PUNCT
cana-4564	71	64	nearest	near	ADJ
cana-4564	71	65	neighbour	neighbour	ADJ
cana-4564	71	66	algorithm	algorithm	NOUN
cana-4564	71	67	and	and	CCONJ
cana-4564	71	68	decision	decision	NOUN
cana-4564	71	69	tree	tree	NOUN
cana-4564	71	70	classifier	classifier	NOUN
cana-4564	71	71	.	.	PUNCT
cana-4564	72	1	the	the	DET
cana-4564	72	2	results	result	NOUN
cana-4564	72	3	are	be	AUX
cana-4564	72	4	depicted	depict	VERB
cana-4564	72	5	in	in	ADP
cana-4564	72	6	the	the	DET
cana-4564	72	7	below	below	ADJ
cana-4564	72	8	table	table	NOUN
cana-4564	72	9	:	:	PUNCT
cana-4564	72	10	communications	communication	NOUN
cana-4564	72	11	on	on	ADP
cana-4564	72	12	applied	apply	VERB
cana-4564	72	13	nonlinear	nonlinear	ADJ
cana-4564	72	14	analysis	analysis	NOUN
cana-4564	72	15	issn	issn	NOUN
cana-4564	72	16	:	:	PUNCT
cana-4564	72	17	1074	1074	NUM
cana-4564	72	18	-	-	PUNCT
cana-4564	72	19	133x	133x	NUM
cana-4564	72	20	vol	vol	NOUN
cana-4564	72	21	32	32	NUM
cana-4564	72	22	no	no	NOUN
cana-4564	72	23	.	.	PUNCT
cana-4564	73	1	9s	9s	NUM
cana-4564	73	2	(	(	PUNCT
cana-4564	73	3	2025	2025	NUM
cana-4564	73	4	)	)	PUNCT
cana-4564	73	5	2613	2613	NUM
cana-4564	73	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4564	73	7	s.no	s.no	NOUN
cana-4564	73	8	name	name	NOUN
cana-4564	73	9	of	of	ADP
cana-4564	73	10	the	the	DET
cana-4564	73	11	algorithm	algorithm	NOUN
cana-4564	73	12	accuracy	accuracy	NOUN
cana-4564	73	13	value	value	NOUN
cana-4564	73	14	1	1	NUM
cana-4564	73	15	naive	naive	ADJ
cana-4564	73	16	bayes	bayes	NOUN
cana-4564	73	17	model	model	NOUN
cana-4564	73	18	0.941	0.941	NUM
cana-4564	73	19	2	2	NUM
cana-4564	73	20	decision	decision	NOUN
cana-4564	73	21	tree	tree	NOUN
cana-4564	73	22	classifier	classifier	NOUN
cana-4564	73	23	algorithm	algorithm	PROPN
cana-4564	73	24	0.705	0.705	NUM
cana-4564	73	25	3	3	NUM
cana-4564	73	26	random	random	ADJ
cana-4564	73	27	forest	forest	NOUN
cana-4564	73	28	classifier	classifier	NOUN
cana-4564	73	29	algorithm	algorithm	PROPN
cana-4564	73	30	0.911	0.911	NUM
cana-4564	73	31	4	4	NUM
cana-4564	73	32	k	k	ADV
cana-4564	73	33	-	-	PUNCT
cana-4564	73	34	nearest	near	ADJ
cana-4564	73	35	neighbour	neighbour	ADJ
cana-4564	73	36	algorithm	algorithm	NOUN
cana-4564	73	37	0.735	0.735	NUM
cana-4564	73	38	according	accord	VERB
cana-4564	73	39	to	to	ADP
cana-4564	73	40	the	the	DET
cana-4564	73	41	above	above	ADJ
cana-4564	73	42	table	table	NOUN
cana-4564	73	43	we	we	PRON
cana-4564	73	44	can	can	AUX
cana-4564	73	45	conclude	conclude	VERB
cana-4564	73	46	that	that	SCONJ
cana-4564	73	47	the	the	DET
cana-4564	73	48	naïve	naïve	ADJ
cana-4564	73	49	bayes	bayes	PROPN
cana-4564	73	50	algorithm	algorithm	NOUN
cana-4564	73	51	will	will	AUX
cana-4564	73	52	be	be	AUX
cana-4564	73	53	better	well	ADJ
cana-4564	73	54	model	model	NOUN
cana-4564	73	55	for	for	ADP
cana-4564	73	56	the	the	DET
cana-4564	73	57	spam	spam	NOUN
cana-4564	73	58	detection	detection	NOUN
cana-4564	73	59	as	as	ADP
cana-4564	73	60	the	the	DET
cana-4564	73	61	accuracy	accuracy	NOUN
cana-4564	73	62	of	of	ADP
cana-4564	73	63	this	this	DET
cana-4564	73	64	algorithm	algorithm	NOUN
cana-4564	73	65	is	be	AUX
cana-4564	73	66	high	high	ADJ
cana-4564	73	67	compared	compare	VERB
cana-4564	73	68	to	to	ADP
cana-4564	73	69	the	the	DET
cana-4564	73	70	other	other	ADJ
cana-4564	73	71	implemented	implement	VERB
cana-4564	73	72	algorithms	algorithm	NOUN
cana-4564	73	73	.	.	PUNCT
cana-4564	74	1	the	the	DET
cana-4564	74	2	above	above	ADJ
cana-4564	74	3	results	result	NOUN
cana-4564	74	4	can	can	AUX
cana-4564	74	5	be	be	AUX
cana-4564	74	6	represented	represent	VERB
cana-4564	74	7	as	as	ADP
cana-4564	74	8	the	the	DET
cana-4564	74	9	graph	graph	NOUN
cana-4564	74	10	which	which	PRON
cana-4564	74	11	depicts	depict	VERB
cana-4564	74	12	that	that	SCONJ
cana-4564	74	13	the	the	DET
cana-4564	74	14	accuracy	accuracy	NOUN
cana-4564	74	15	of	of	ADP
cana-4564	74	16	the	the	DET
cana-4564	74	17	naïve	naïve	ADJ
cana-4564	74	18	bayes	bayes	PROPN
cana-4564	74	19	model	model	NOUN
cana-4564	74	20	was	be	AUX
cana-4564	74	21	optimum	optimum	ADJ
cana-4564	74	22	.	.	PUNCT
cana-4564	75	1	6.conclusion	6.conclusion	NUM
cana-4564	75	2	and	and	CCONJ
cana-4564	75	3	future	future	ADJ
cana-4564	75	4	scope	scope	NOUN
cana-4564	75	5	after	after	ADP
cana-4564	75	6	analysing	analyse	VERB
cana-4564	75	7	the	the	DET
cana-4564	75	8	results	result	NOUN
cana-4564	75	9	we	we	PRON
cana-4564	75	10	can	can	AUX
cana-4564	75	11	conclude	conclude	VERB
cana-4564	75	12	the	the	DET
cana-4564	75	13	best	good	ADJ
cana-4564	75	14	machine	machine	NOUN
cana-4564	75	15	learning	learn	VERB
cana-4564	75	16	algorithm	algorithm	NOUN
cana-4564	75	17	for	for	ADP
cana-4564	75	18	the	the	DET
cana-4564	75	19	spam	spam	NOUN
cana-4564	75	20	detection	detection	NOUN
cana-4564	75	21	was	be	AUX
cana-4564	75	22	naïve	naïve	ADJ
cana-4564	75	23	bayes	bayes	NOUN
cana-4564	75	24	classification	classification	NOUN
cana-4564	75	25	algorithm	algorithm	NOUN
cana-4564	75	26	.	.	PUNCT
cana-4564	76	1	the	the	DET
cana-4564	76	2	further	further	ADJ
cana-4564	76	3	research	research	NOUN
cana-4564	76	4	can	can	AUX
cana-4564	76	5	be	be	AUX
cana-4564	76	6	implementation	implementation	NOUN
cana-4564	76	7	of	of	ADP
cana-4564	76	8	the	the	DET
cana-4564	76	9	spam	spam	NOUN
cana-4564	76	10	detection	detection	NOUN
cana-4564	76	11	within	within	ADP
cana-4564	76	12	the	the	DET
cana-4564	76	13	images	image	NOUN
cana-4564	76	14	,	,	PUNCT
cana-4564	76	15	as	as	SCONJ
cana-4564	76	16	there	there	PRON
cana-4564	76	17	may	may	AUX
cana-4564	76	18	be	be	AUX
cana-4564	76	19	the	the	DET
cana-4564	76	20	images	image	NOUN
cana-4564	76	21	in	in	ADP
cana-4564	76	22	the	the	DET
cana-4564	76	23	spam	spam	NOUN
cana-4564	76	24	mails	mail	NOUN
cana-4564	76	25	.	.	PUNCT
cana-4564	77	1	this	this	PRON
cana-4564	77	2	will	will	AUX
cana-4564	77	3	be	be	AUX
cana-4564	77	4	useful	useful	ADJ
cana-4564	77	5	for	for	ADP
cana-4564	77	6	providing	provide	VERB
cana-4564	77	7	the	the	DET
cana-4564	77	8	security	security	NOUN
cana-4564	77	9	for	for	ADP
cana-4564	77	10	the	the	DET
cana-4564	77	11	mail	mail	NOUN
cana-4564	77	12	users	user	NOUN
cana-4564	77	13	by	by	ADP
cana-4564	77	14	detecting	detect	VERB
cana-4564	77	15	any	any	DET
cana-4564	77	16	type	type	NOUN
cana-4564	77	17	of	of	ADP
cana-4564	77	18	the	the	DET
cana-4564	77	19	messages	message	NOUN
cana-4564	77	20	which	which	PRON
cana-4564	77	21	are	be	AUX
cana-4564	77	22	harmful	harmful	ADJ
cana-4564	77	23	to	to	ADP
cana-4564	77	24	the	the	DET
cana-4564	77	25	user	user	NOUN
cana-4564	77	26	.	.	PUNCT
cana-4564	78	1	7.references	7.references	NUM
cana-4564	79	1	[	[	X
cana-4564	79	2	1	1	X
cana-4564	79	3	]	]	PUNCT
cana-4564	79	4	v.	v.	CCONJ
cana-4564	79	5	krishnamurthy	krishnamurthy	PROPN
cana-4564	79	6	,	,	PUNCT
cana-4564	79	7	internet	internet	NOUN
cana-4564	79	8	spam	spam	NOUN
cana-4564	79	9	threats	threat	NOUN
cana-4564	79	10	and	and	CCONJ
cana-4564	79	11	email	email	NOUN
cana-4564	79	12	exploitation	exploitation	NOUN
cana-4564	79	13	–	–	PUNCT
cana-4564	79	14	a	a	DET
cana-4564	79	15	scuffle	scuffle	NOUN
cana-4564	79	16	with	with	ADP
cana-4564	79	17	inbox	inbox	NOUN
cana-4564	79	18	attack	attack	NOUN
cana-4564	79	19	.	.	PUNCT
cana-4564	80	1	[	[	X
cana-4564	80	2	2	2	NUM
cana-4564	80	3	]	]	PUNCT
cana-4564	80	4	k.	k.	PROPN
cana-4564	80	5	renuka	renuka	PROPN
cana-4564	80	6	and	and	CCONJ
cana-4564	80	7	t.	t.	PROPN
cana-4564	80	8	hamsapriya	hamsapriya	PROPN
cana-4564	80	9	,	,	PUNCT
cana-4564	80	10	email	email	NOUN
cana-4564	80	11	classification	classification	NOUN
cana-4564	80	12	for	for	ADP
cana-4564	80	13	spam	spam	NOUN
cana-4564	80	14	detection	detection	NOUN
cana-4564	80	15	using	use	VERB
cana-4564	80	16	word	word	NOUN
cana-4564	80	17	stemming	stem	VERB
cana-4564	80	18	,	,	PUNCT
cana-4564	80	19	int	int	NOUN
cana-4564	80	20	j	j	PROPN
cana-4564	80	21	compute	compute	PROPN
cana-4564	80	22	appl	appl	PROPN
cana-4564	80	23	5(5	5(5	PROPN
cana-4564	80	24	)	)	PUNCT
cana-4564	80	25	,	,	PUNCT
cana-4564	80	26	(	(	PUNCT
cana-4564	80	27	2010	2010	NUM
cana-4564	80	28	)	)	PUNCT
cana-4564	80	29	,	,	PUNCT
cana-4564	80	30	45–47	45–47	NUM
cana-4564	80	31	.	.	PUNCT
cana-4564	80	32	0	0	NUM
cana-4564	80	33	0.1	0.1	NUM
cana-4564	80	34	0.2	0.2	NUM
cana-4564	80	35	0.3	0.3	NUM
cana-4564	80	36	0.4	0.4	NUM
cana-4564	80	37	0.5	0.5	NUM
cana-4564	80	38	0.6	0.6	NUM
cana-4564	80	39	0.7	0.7	NUM
cana-4564	80	40	0.8	0.8	NUM
cana-4564	80	41	0.9	0.9	NUM
cana-4564	80	42	1	1	NUM
cana-4564	80	43	naive	naive	ADJ
cana-4564	80	44	bayes	bayes	NOUN
cana-4564	80	45	model	model	NOUN
cana-4564	80	46	decision	decision	NOUN
cana-4564	80	47	tree	tree	NOUN
cana-4564	80	48	classifier	classifier	NOUN
cana-4564	80	49	random	random	ADJ
cana-4564	80	50	forest	forest	NOUN
cana-4564	80	51	classifier	classifier	NOUN
cana-4564	80	52	k	k	VERB
cana-4564	80	53	-	-	PUNCT
cana-4564	80	54	nearest	near	ADJ
cana-4564	80	55	neighbour	neighbour	ADJ
cana-4564	80	56	accuracy	accuracy	NOUN
cana-4564	80	57	value	value	NOUN
cana-4564	80	58	accuracy	accuracy	NOUN
cana-4564	80	59	value	value	NOUN
cana-4564	80	60	communications	communication	NOUN
cana-4564	80	61	on	on	ADP
cana-4564	80	62	applied	apply	VERB
cana-4564	80	63	nonlinear	nonlinear	ADJ
cana-4564	80	64	analysis	analysis	NOUN
cana-4564	80	65	issn	issn	NOUN
cana-4564	80	66	:	:	PUNCT
cana-4564	80	67	1074	1074	NUM
cana-4564	80	68	-	-	PUNCT
cana-4564	80	69	133x	133x	NUM
cana-4564	80	70	vol	vol	NOUN
cana-4564	80	71	32	32	NUM
cana-4564	80	72	no	no	NOUN
cana-4564	80	73	.	.	PUNCT
cana-4564	81	1	9s	9s	NUM
cana-4564	81	2	(	(	PUNCT
cana-4564	81	3	2025	2025	NUM
cana-4564	81	4	)	)	PUNCT
cana-4564	81	5	2614	2614	NUM
cana-4564	81	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4564	82	1	[	[	X
cana-4564	82	2	3	3	X
cana-4564	82	3	]	]	X
cana-4564	82	4	s.	s.	PROPN
cana-4564	82	5	mali	mali	PROPN
cana-4564	82	6	patil	patil	PROPN
cana-4564	82	7	,	,	PUNCT
cana-4564	82	8	v.	v.	ADP
cana-4564	82	9	maheshwari	maheshwari	PROPN
cana-4564	82	10	and	and	CCONJ
cana-4564	82	11	m.b	m.b	PROPN
cana-4564	82	12	.	.	PROPN
cana-4564	82	13	chandra	chandra	PROPN
cana-4564	82	14	,	,	PUNCT
cana-4564	82	15	area	area	NOUN
cana-4564	82	16	optimization	optimization	NOUN
cana-4564	82	17	of	of	ADP
cana-4564	82	18	cmos	cmos	PROPN
cana-4564	82	19	full	full	ADJ
cana-4564	82	20	adder	adder	NOUN
cana-4564	82	21	design	design	NOUN
cana-4564	82	22	using	use	VERB
cana-4564	82	23	3	3	NUM
cana-4564	82	24	t	t	NOUN
cana-4564	82	25	xor	xor	PROPN
cana-4564	82	26	,	,	PUNCT
cana-4564	82	27	in:2020	in:2020	VERB
cana-4564	82	28	international	international	ADJ
cana-4564	82	29	conference	conference	NOUN
cana-4564	82	30	on	on	ADP
cana-4564	82	31	wireless	wireless	ADJ
cana-4564	82	32	communications	communication	NOUN
cana-4564	82	33	signal	signal	NOUN
cana-4564	82	34	processing	processing	NOUN
cana-4564	82	35	and	and	CCONJ
cana-4564	82	36	networking	networking	NOUN
cana-4564	82	37	(	(	PUNCT
cana-4564	82	38	wispnet	wispnet	NOUN
cana-4564	82	39	)	)	PUNCT
cana-4564	82	40	ieee	ieee	NOUN
cana-4564	82	41	,	,	PUNCT
cana-4564	82	42	2020	2020	NUM
cana-4564	82	43	,	,	PUNCT
cana-4564	82	44	pp	pp	ADV
cana-4564	82	45	.	.	PUNCT
cana-4564	83	1	192–194	192–194	NUM
cana-4564	83	2	.	.	PUNCT
cana-4564	84	1	doi:10.1109	doi:10.1109	VERB
cana-4564	84	2	/	/	SYM
cana-4564	85	1	wispnet48689.2020.9198627	wispnet48689.2020.9198627	PROPN
cana-4564	85	2	[	[	X
cana-4564	85	3	4	4	NUM
cana-4564	85	4	]	]	X
cana-4564	85	5	w.a	w.a	PROPN
cana-4564	85	6	.	.	PROPN
cana-4564	85	7	awad	awad	PROPN
cana-4564	85	8	and	and	CCONJ
cana-4564	85	9	s.m	s.m	PROPN
cana-4564	85	10	.	.	PROPN
cana-4564	85	11	elseuofi	elseuofi	PROPN
cana-4564	85	12	,	,	PUNCT
cana-4564	85	13	machine	machine	NOUN
cana-4564	85	14	learning	learning	NOUN
cana-4564	85	15	methods	method	NOUN
cana-4564	85	16	for	for	ADP
cana-4564	85	17	spam	spam	NOUN
cana-4564	85	18	e	e	NOUN
cana-4564	85	19	-	-	NOUN
cana-4564	85	20	mail	mail	NOUN
cana-4564	85	21	classification	classification	NOUN
cana-4564	85	22	.	.	PUNCT
cana-4564	86	1	[	[	X
cana-4564	86	2	5	5	X
cana-4564	86	3	]	]	PUNCT
cana-4564	86	4	e.	e.	PROPN
cana-4564	86	5	ezpeleta	ezpeleta	PROPN
cana-4564	86	6	,	,	PUNCT
cana-4564	86	7	u.	u.	PROPN
cana-4564	86	8	zurutuza	zurutuza	PROPN
cana-4564	86	9	and	and	CCONJ
cana-4564	86	10	j.m.g	j.m.g	NOUN
cana-4564	86	11	.	.	PUNCT
cana-4564	87	1	hidalgo	hidalgo	PROPN
cana-4564	87	2	,	,	PUNCT
cana-4564	87	3	a	a	DET
cana-4564	87	4	study	study	NOUN
cana-4564	87	5	of	of	ADP
cana-4564	87	6	the	the	DET
cana-4564	87	7	personalization	personalization	NOUN
cana-4564	87	8	of	of	ADP
cana-4564	87	9	spam	spam	NOUN
cana-4564	87	10	content	content	NOUN
cana-4564	87	11	using	use	VERB
cana-4564	87	12	facebook	facebook	NOUN
cana-4564	87	13	publicinformation	publicinformation	NOUN
cana-4564	87	14	,	,	PUNCT
cana-4564	87	15	logic	logic	NOUN
cana-4564	87	16	journal	journal	NOUN
cana-4564	87	17	of	of	ADP
cana-4564	87	18	the	the	DET
cana-4564	87	19	igpl	igpl	ADJ
cana-4564	87	20	25(1	25(1	NUM
cana-4564	87	21	)	)	PUNCT
cana-4564	87	22	(	(	PUNCT
cana-4564	87	23	2017	2017	NUM
cana-4564	87	24	)	)	PUNCT
cana-4564	87	25	,	,	PUNCT
cana-4564	87	26	30–41	30–41	NUM
cana-4564	87	27	.	.	PUNCT
cana-4564	87	28	doi:10.1093	doi:10.1093	NOUN
cana-4564	87	29	/	/	SYM
cana-4564	87	30	jigpal	jigpal	PROPN
cana-4564	87	31	/	/	SYM
cana-4564	87	32	jzw040	jzw040	PROPN
cana-4564	87	33	.	.	PUNCT
cana-4564	88	1	[	[	X
cana-4564	88	2	6]a.m	6]a.m	NUM
cana-4564	88	3	.	.	PUNCT
cana-4564	89	1	al	al	PROPN
cana-4564	89	2	-	-	PUNCT
cana-4564	89	3	zoubi	zoubi	PROPN
cana-4564	89	4	,	,	PUNCT
cana-4564	89	5	h.	h.	PROPN
cana-4564	89	6	faris	faris	PROPN
cana-4564	89	7	,	,	PUNCT
cana-4564	89	8	m.a	m.a	PROPN
cana-4564	89	9	.	.	PROPN
cana-4564	89	10	hassonah	hassonah	PROPN
cana-4564	89	11	et	et	PROPN
cana-4564	89	12	al	al	PROPN
cana-4564	89	13	.	.	PROPN
cana-4564	89	14	,	,	PUNCT
cana-4564	89	15	evolving	evolve	VERB
cana-4564	89	16	support	support	NOUN
cana-4564	89	17	vector	vector	NOUN
cana-4564	89	18	machines	machine	NOUN
cana-4564	89	19	using	use	VERB
cana-4564	89	20	whale	whale	NOUN
cana-4564	89	21	optimization	optimization	NOUN
cana-4564	89	22	algorithmfor	algorithmfor	ADP
cana-4564	89	23	spam	spam	NOUN
cana-4564	89	24	profiles	profile	NOUN
cana-4564	89	25	detection	detection	NOUN
cana-4564	89	26	on	on	ADP
cana-4564	89	27	online	online	ADJ
cana-4564	89	28	social	social	ADJ
cana-4564	89	29	networks	network	NOUN
cana-4564	89	30	in	in	ADP
cana-4564	89	31	different	different	ADJ
cana-4564	89	32	lingual	lingual	ADJ
cana-4564	89	33	contexts	contexts	NOUN
cana-4564	89	34	,	,	PUNCT
cana-4564	89	35	knowledge	knowledge	NOUN
cana-4564	89	36	-	-	PUNCT
cana-4564	89	37	based	base	VERB
cana-4564	89	38	systems	system	NOUN
cana-4564	89	39	153	153	NUM
cana-4564	89	40	(	(	PUNCT
cana-4564	89	41	2018),91–104	2018),91–104	PROPN
cana-4564	89	42	.	.	PUNCT
cana-4564	89	43	doi	doi	PROPN
cana-4564	89	44	:	:	PUNCT
cana-4564	89	45	10.1016	10.1016	NUM
cana-4564	89	46	/	/	SYM
cana-4564	89	47	j.knosys.2018.04.025	j.knosys.2018.04.025	ADP
cana-4564	89	48	.	.	PUNCT
cana-4564	90	1	[	[	X
cana-4564	90	2	7]s	7]s	X
cana-4564	90	3	.	.	PUNCT
cana-4564	90	4	günal	günal	PROPN
cana-4564	90	5	,	,	PUNCT
cana-4564	90	6	s.	s.	PROPN
cana-4564	90	7	ergin	ergin	PROPN
cana-4564	90	8	,	,	PUNCT
cana-4564	90	9	m.b	m.b	PROPN
cana-4564	90	10	,	,	PUNCT
cana-4564	90	11	gülmezoglu	gülmezoglu	PROPN
cana-4564	90	12	and	and	CCONJ
cana-4564	90	13	ö.n	ö.n	PROPN
cana-4564	90	14	.	.	PROPN
cana-4564	90	15	gerek	gerek	PROPN
cana-4564	90	16	,	,	PUNCT
cana-4564	90	17	on	on	ADP
cana-4564	90	18	feature	feature	NOUN
cana-4564	90	19	extraction	extraction	NOUN
cana-4564	90	20	for	for	ADP
cana-4564	90	21	spam	spam	NOUN
cana-4564	90	22	e	e	NOUN
cana-4564	90	23	-	-	NOUN
cana-4564	90	24	mail	mail	NOUN
cana-4564	90	25	detection	detection	NOUN
cana-4564	90	26	,	,	PUNCT
cana-4564	90	27	in	in	ADP
cana-4564	90	28	:	:	PUNCT
cana-4564	90	29	˘	˘	NUM
cana-4564	90	30	international	international	ADJ
cana-4564	90	31	workshop	workshop	NOUN
cana-4564	90	32	on	on	ADP
cana-4564	90	33	multimedia	multimedia	NOUN
cana-4564	90	34	content	content	NOUN
cana-4564	90	35	representation	representation	NOUN
cana-4564	90	36	,	,	PUNCT
cana-4564	90	37	classification	classification	NOUN
cana-4564	90	38	and	and	CCONJ
cana-4564	90	39	security	security	NOUN
cana-4564	90	40	,	,	PUNCT
cana-4564	90	41	2006	2006	NUM
cana-4564	90	42	,	,	PUNCT
cana-4564	90	43	pp	pp	ADV
cana-4564	90	44	.	.	PUNCT
cana-4564	91	1	635–642	635–642	NUM
cana-4564	91	2	.	.	PUNCT
cana-4564	92	1	doi:10.1007/11848035_84	doi:10.1007/11848035_84	NOUN
cana-4564	92	2	.	.	PUNCT
cana-4564	93	1	[	[	X
cana-4564	93	2	8	8	NUM
cana-4564	93	3	]	]	PUNCT
cana-4564	93	4	a.	a.	NOUN
cana-4564	93	5	hamdanmohammad	hamdanmohammad	PROPN
cana-4564	93	6	and	and	CCONJ
cana-4564	93	7	r.	r.	PROPN
cana-4564	93	8	abuzitar	abuzitar	PROPN
cana-4564	93	9	,	,	PUNCT
cana-4564	93	10	application	application	NOUN
cana-4564	93	11	of	of	ADP
cana-4564	93	12	genetic	genetic	ADJ
cana-4564	93	13	optimized	optimize	VERB
cana-4564	93	14	artificial	artificial	ADJ
cana-4564	93	15	immune	immune	ADJ
cana-4564	93	16	system	system	NOUN
cana-4564	93	17	and	and	CCONJ
cana-4564	93	18	neural	neural	ADJ
cana-4564	93	19	networksin	networksin	NOUN
cana-4564	93	20	spam	spam	PROPN
cana-4564	93	21	detection	detection	PROPN
cana-4564	93	22	,	,	PUNCT
cana-4564	93	23	applied	apply	VERB
cana-4564	93	24	soft	soft	ADJ
cana-4564	93	25	computing	computing	NOUN
cana-4564	93	26	11(4	11(4	NUM
cana-4564	93	27	)	)	PUNCT
cana-4564	93	28	(	(	PUNCT
cana-4564	93	29	2011	2011	NUM
cana-4564	93	30	)	)	PUNCT
cana-4564	93	31	,	,	PUNCT
cana-4564	93	32	3827–3845	3827–3845	NUM
cana-4564	93	33	.	.	PUNCT
cana-4564	94	1	doi	doi	NOUN
cana-4564	94	2	:	:	PUNCT
cana-4564	94	3	10.1016	10.1016	NUM
cana-4564	94	4	/	/	SYM
cana-4564	94	5	j.asoc.2011.02.021	j.asoc.2011.02.021	PROPN
cana-4564	94	6	.	.	PUNCT
cana-4564	95	1	[	[	X
cana-4564	95	2	9	9	NUM
cana-4564	95	3	]	]	X
cana-4564	95	4	w.z	w.z	PROPN
cana-4564	95	5	.	.	PROPN
cana-4564	95	6	khan	khan	PROPN
cana-4564	95	7	,	,	PUNCT
cana-4564	95	8	m.k	m.k	PROPN
cana-4564	95	9	.	.	PROPN
cana-4564	95	10	khan	khan	PROPN
cana-4564	95	11	,	,	PUNCT
cana-4564	95	12	f.t	f.t	PROPN
cana-4564	95	13	.	.	PUNCT
cana-4564	95	14	bin	bin	PROPN
cana-4564	95	15	muhaya	muhaya	PROPN
cana-4564	95	16	,	,	PUNCT
cana-4564	95	17	m.y	m.y	PROPN
cana-4564	95	18	.	.	PROPN
cana-4564	95	19	aalsalem	aalsalem	PROPN
cana-4564	95	20	and	and	CCONJ
cana-4564	95	21	h.	h.	PROPN
cana-4564	95	22	chao	chao	PROPN
cana-4564	95	23	,	,	PUNCT
cana-4564	95	24	a	a	DET
cana-4564	95	25	comprehensive	comprehensive	ADJ
cana-4564	95	26	study	study	NOUN
cana-4564	95	27	of	of	ADP
cana-4564	95	28	email	email	NOUN
cana-4564	95	29	spam	spam	NOUN
cana-4564	95	30	botnetdetection	botnetdetection	PROPN
cana-4564	95	31	,	,	PUNCT
cana-4564	95	32	ieee	ieee	NOUN
cana-4564	95	33	communications	communication	NOUN
cana-4564	95	34	surveys	survey	NOUN
cana-4564	95	35	&	&	CCONJ
cana-4564	95	36	tutorials	tutorial	NOUN
cana-4564	95	37	17(4	17(4	NUM
cana-4564	95	38	)	)	PUNCT
cana-4564	95	39	(	(	PUNCT
cana-4564	95	40	2015	2015	NUM
cana-4564	95	41	)	)	PUNCT
cana-4564	95	42	,	,	PUNCT
cana-4564	95	43	2271	2271	NUM
cana-4564	95	44	–	–	PUNCT
cana-4564	95	45	2295	2295	NUM
cana-4564	95	46	.	.	PUNCT
cana-4564	96	1	doi:10.1109	doi:10.1109	VERB
cana-4564	96	2	/	/	SYM
cana-4564	96	3	comst.2015.2459015	comst.2015.2459015	PROPN
cana-4564	96	4	.	.	PUNCT
cana-4564	97	1	[	[	X
cana-4564	97	2	10	10	NUM
cana-4564	97	3	]	]	X
cana-4564	97	4	g.	g.	PROPN
cana-4564	97	5	jain	jain	PROPN
cana-4564	97	6	,	,	PUNCT
cana-4564	97	7	m.	m.	NOUN
cana-4564	97	8	sharma	sharma	PROPN
cana-4564	97	9	and	and	CCONJ
cana-4564	97	10	b.	b.	PROPN
cana-4564	97	11	agarwal	agarwal	PROPN
cana-4564	97	12	,	,	PUNCT
cana-4564	97	13	spam	spam	VERB
cana-4564	97	14	detection	detection	NOUN
cana-4564	97	15	in	in	ADP
cana-4564	97	16	social	social	ADJ
cana-4564	97	17	media	medium	NOUN
cana-4564	97	18	using	use	VERB
cana-4564	97	19	convolutional	convolutional	ADJ
cana-4564	97	20	and	and	CCONJ
cana-4564	97	21	long	long	ADJ
cana-4564	97	22	short	short	ADJ
cana-4564	97	23	-	-	PUNCT
cana-4564	97	24	term	term	NOUN
cana-4564	97	25	memoryneural	memoryneural	ADJ
cana-4564	97	26	network	network	NOUN
cana-4564	97	27	,	,	PUNCT
cana-4564	97	28	annals	annal	NOUN
cana-4564	97	29	of	of	ADP
cana-4564	97	30	mathematics	mathematic	NOUN
cana-4564	97	31	and	and	CCONJ
cana-4564	97	32	artificial	artificial	ADJ
cana-4564	97	33	intelligence	intelligence	NOUN
cana-4564	97	34	85	85	NUM
cana-4564	97	35	(	(	PUNCT
cana-4564	97	36	2019	2019	NUM
cana-4564	97	37	)	)	PUNCT
cana-4564	97	38	,	,	PUNCT
cana-4564	97	39	21–44	21–44	X
cana-4564	97	40	.	.	PUNCT
cana-4564	98	1	doi:10.1007	doi:10.1007	VERB
cana-4564	98	2	/	/	SYM
cana-4564	98	3	s10472	s10472	PROPN
cana-4564	98	4	-	-	PUNCT
cana-4564	98	5	018	018	NUM
cana-4564	98	6	-	-	PUNCT
cana-4564	98	7	9612	9612	NUM
cana-4564	98	8	-	-	PUNCT
cana-4564	98	9	z.	z.	NOUN
cana-4564	99	1	[	[	X
cana-4564	99	2	11]v	11]v	NUM
cana-4564	99	3	.	.	PUNCT
cana-4564	100	1	patidar	patidar	PROPN
cana-4564	100	2	,	,	PUNCT
cana-4564	100	3	d.	d.	PROPN
cana-4564	100	4	singh	singh	PROPN
cana-4564	100	5	and	and	CCONJ
cana-4564	100	6	a.	a.	PROPN
cana-4564	100	7	singh	singh	PROPN
cana-4564	100	8	,	,	PUNCT
cana-4564	100	9	a	a	DET
cana-4564	100	10	novel	novel	ADJ
cana-4564	100	11	technique	technique	NOUN
cana-4564	100	12	of	of	ADP
cana-4564	100	13	email	email	NOUN
cana-4564	100	14	classification	classification	NOUN
cana-4564	100	15	for	for	ADP
cana-4564	100	16	spam	spam	NOUN
cana-4564	100	17	detection	detection	NOUN
cana-4564	100	18	,	,	PUNCT
cana-4564	100	19	international	international	ADJ
cana-4564	100	20	journal	journal	NOUN
cana-4564	100	21	ofapplied	ofapplie	VERB
cana-4564	100	22	information	information	NOUN
cana-4564	100	23	systems	system	NOUN
cana-4564	100	24	5(10	5(10	NUM
cana-4564	100	25	)	)	PUNCT
cana-4564	100	26	(	(	PUNCT
cana-4564	100	27	2013	2013	NUM
cana-4564	100	28	)	)	PUNCT
cana-4564	100	29	,	,	PUNCT
cana-4564	100	30	15–19	15–19	NUM
cana-4564	100	31	.	.	PUNCT
cana-4564	101	1	doi:10.5120	doi:10.5120	PROPN
cana-4564	101	2	/	/	SYM
cana-4564	101	3	ijais13450976	ijais13450976	NOUN
cana-4564	101	4	.	.	PUNCT
cana-4564	102	1	[	[	X
cana-4564	102	2	12]t.s	12]t.s	NUM
cana-4564	102	3	.	.	PUNCT
cana-4564	102	4	guzella	guzella	NOUN
cana-4564	102	5	and	and	CCONJ
cana-4564	102	6	w.m	w.m	PROPN
cana-4564	102	7	.	.	PROPN
cana-4564	102	8	caminhas	caminhas	PROPN
cana-4564	102	9	,	,	PUNCT
cana-4564	102	10	a	a	DET
cana-4564	102	11	review	review	NOUN
cana-4564	102	12	of	of	ADP
cana-4564	102	13	machine	machine	NOUN
cana-4564	102	14	learning	learn	VERB
cana-4564	102	15	approaches	approach	NOUN
cana-4564	102	16	to	to	PART
cana-4564	102	17	spam	spam	VERB
cana-4564	102	18	filtering	filter	VERB
cana-4564	102	19	,	,	PUNCT
cana-4564	102	20	expert	expert	ADJ
cana-4564	102	21	systems	system	NOUN
cana-4564	102	22	with	with	ADP
cana-4564	102	23	applications	application	NOUN
cana-4564	102	24	36(7	36(7	NUM
cana-4564	102	25	)	)	PUNCT
cana-4564	102	26	(	(	PUNCT
cana-4564	102	27	2009	2009	NUM
cana-4564	102	28	)	)	PUNCT
cana-4564	102	29	,	,	PUNCT
cana-4564	102	30	10206–10222	10206–10222	NUM
cana-4564	102	31	.	.	PUNCT
cana-4564	103	1	doi:10.1016	doi:10.1016	PROPN
cana-4564	103	2	/	/	SYM
cana-4564	103	3	j.eswa.2009.02.037	j.eswa.2009.02.037	PROPN
cana-4564	103	4	.	.	PUNCT
cana-4564	104	1	[	[	X
cana-4564	104	2	13]g	13]g	NUM
cana-4564	104	3	.	.	PUNCT
cana-4564	105	1	mujtaba	mujtaba	PROPN
cana-4564	105	2	,	,	PUNCT
cana-4564	105	3	l.	l.	PROPN
cana-4564	105	4	shuib	shuib	PROPN
cana-4564	105	5	,	,	PUNCT
cana-4564	105	6	r.g	r.g	PROPN
cana-4564	105	7	.	.	PROPN
cana-4564	105	8	raj	raj	PROPN
cana-4564	105	9	,	,	PUNCT
cana-4564	105	10	n.	n.	PROPN
cana-4564	105	11	majeed	majeed	PROPN
cana-4564	105	12	and	and	CCONJ
cana-4564	105	13	m.a	m.a	PROPN
cana-4564	105	14	.	.	PROPN
cana-4564	105	15	al	al	PROPN
cana-4564	105	16	-	-	PUNCT
cana-4564	105	17	garadi	garadi	PROPN
cana-4564	105	18	,	,	PUNCT
cana-4564	105	19	email	email	NOUN
cana-4564	105	20	classication	classication	NOUN
cana-4564	105	21	research	research	NOUN
cana-4564	105	22	trends	trend	NOUN
cana-4564	105	23	:	:	PUNCT
cana-4564	105	24	review	review	NOUN
cana-4564	105	25	and	and	CCONJ
cana-4564	105	26	openissues	openissue	NOUN
cana-4564	105	27	,	,	PUNCT
cana-4564	105	28	ieee	ieee	NOUN
cana-4564	105	29	access	access	NOUN
cana-4564	105	30	5	5	NUM
cana-4564	105	31	(	(	PUNCT
cana-4564	105	32	2017	2017	NUM
cana-4564	105	33	)	)	PUNCT
cana-4564	105	34	,	,	PUNCT
cana-4564	105	35	9044–9064	9044–9064	NUM
cana-4564	105	36	.	.	PUNCT
cana-4564	106	1	doi:10.1109	doi:10.1109	VERB
cana-4564	106	2	/	/	SYM
cana-4564	106	3	access.2017.2702187	access.2017.2702187	NOUN
cana-4564	106	4	.	.	PUNCT
cana-4564	107	1	[	[	X
cana-4564	107	2	14	14	NUM
cana-4564	107	3	]	]	X
cana-4564	107	4	h.	h.	PROPN
cana-4564	107	5	shen	shen	PROPN
cana-4564	107	6	and	and	CCONJ
cana-4564	107	7	z.	z.	PROPN
cana-4564	107	8	li	li	PROPN
cana-4564	107	9	,	,	PUNCT
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cana-4564	107	11	social	social	ADJ
cana-4564	107	12	networks	network	NOUN
cana-4564	107	13	for	for	ADP
cana-4564	107	14	effective	effective	ADJ
cana-4564	107	15	spam	spam	NOUN
cana-4564	107	16	filtering	filter	VERB
cana-4564	107	17	,	,	PUNCT
cana-4564	107	18	ieee	ieee	NOUN
cana-4564	107	19	transactions	transaction	NOUN
cana-4564	107	20	on	on	ADP
cana-4564	107	21	computers	computer	NOUN
cana-4564	107	22	63(11)(2014	63(11)(2014	NUM
cana-4564	107	23	)	)	PUNCT
cana-4564	107	24	,	,	PUNCT
cana-4564	107	25	2743–2759	2743–2759	NUM
cana-4564	107	26	.	.	PUNCT
cana-4564	108	1	doi:10.1109	doi:10.1109	VERB
cana-4564	108	2	/	/	SYM
cana-4564	108	3	tc.2013.152	tc.2013.152	PROPN
cana-4564	108	4	.	.	PUNCT
cana-4564	109	1	[	[	X
cana-4564	109	2	15]eman	15]eman	NUM
cana-4564	109	3	m.bahgat	m.bahgat	PROPN
cana-4564	109	4	sherine	sherine	PROPN
cana-4564	109	5	rady	rady	PROPN
cana-4564	109	6	walaa	walaa	PROPN
cana-4564	109	7	gadibrahim	gadibrahim	PROPN
cana-4564	109	8	f.moawad	f.moawad	VERB
cana-4564	109	9	“	"	PUNCT
cana-4564	109	10	efficient	efficient	ADJ
cana-4564	109	11	email	email	NOUN
cana-4564	109	12	classification	classification	NOUN
cana-4564	109	13	approach	approach	NOUN
cana-4564	109	14	based	base	VERB
cana-4564	109	15	on	on	ADP
cana-4564	109	16	semantic	semantic	ADJ
cana-4564	109	17	methods	method	NOUN
cana-4564	109	18	”	"	PUNCT
cana-4564	109	19	2018	2018	NUM
cana-4564	109	20	ain	ain	PROPN
cana-4564	109	21	shans	shans	PROPN
cana-4564	109	22	engineering	engineering	PROPN
cana-4564	109	23	journal	journal	NOUN
cana-4564	109	24	.	.	PUNCT
cana-4564	110	1	[	[	X
cana-4564	110	2	16]deepika	16]deepika	NUM
cana-4564	110	3	,	,	PUNCT
cana-4564	110	4	m.	m.	NOUN
cana-4564	110	5	,	,	PUNCT
cana-4564	110	6	hegde	hegde	NOUN
cana-4564	110	7	,	,	PUNCT
cana-4564	110	8	n.p	n.p	PROPN
cana-4564	110	9	.	.	PROPN
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cana-4564	110	11	2022	2022	NUM
cana-4564	110	12	)	)	PUNCT
cana-4564	110	13	.	.	PUNCT
cana-4564	111	1	efficient	efficient	ADJ
cana-4564	111	2	email	email	NOUN
cana-4564	111	3	classification	classification	NOUN
cana-4564	111	4	algorithm	algorithm	NOUN
cana-4564	111	5	for	for	ADP
cana-4564	111	6	better	well	ADJ
cana-4564	111	7	customer	customer	NOUN
cana-4564	111	8	support	support	NOUN
cana-4564	111	9	.	.	PUNCT
cana-4564	112	1	in	in	ADP
cana-4564	112	2	:	:	PUNCT
cana-4564	112	3	satapathy	satapathy	ADJ
cana-4564	112	4	,	,	PUNCT
cana-4564	112	5	s.c	s.c	PROPN
cana-4564	112	6	.	.	PROPN
cana-4564	112	7	,	,	PUNCT
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cana-4564	112	9	,	,	PUNCT
cana-4564	112	10	v.	v.	ADV
cana-4564	112	11	,	,	PUNCT
cana-4564	112	12	favorskaya	favorskaya	NOUN
cana-4564	112	13	,	,	PUNCT
cana-4564	112	14	m.n	m.n	PROPN
cana-4564	112	15	.	.	PROPN
cana-4564	112	16	,	,	PUNCT
cana-4564	112	17	adilakshmi	adilakshmi	PROPN
cana-4564	112	18	,	,	PUNCT
cana-4564	112	19	t.	t.	PROPN
cana-4564	112	20	(	(	PUNCT
cana-4564	112	21	eds	eds	PROPN
cana-4564	112	22	)	)	PUNCT
cana-4564	112	23	smart	smart	ADJ
cana-4564	112	24	intelligent	intelligent	ADJ
cana-4564	112	25	computing	computing	NOUN
cana-4564	112	26	and	and	CCONJ
cana-4564	112	27	applications	application	NOUN
cana-4564	112	28	,	,	PUNCT
cana-4564	112	29	volume	volume	NOUN
cana-4564	112	30	2	2	NUM
cana-4564	112	31	.	.	PUNCT
cana-4564	112	32	smart	smart	ADJ
cana-4564	112	33	innovation	innovation	NOUN
cana-4564	112	34	,	,	PUNCT
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cana-4564	112	36	and	and	CCONJ
cana-4564	112	37	technologies	technology	NOUN
cana-4564	112	38	,	,	PUNCT
cana-4564	112	39	vol	vol	NOUN
cana-4564	112	40	283	283	NUM
cana-4564	112	41	.	.	PUNCT
cana-4564	112	42	springer	springer	NOUN
cana-4564	112	43	,	,	PUNCT
cana-4564	112	44	singapore	singapore	PROPN
cana-4564	112	45	.	.	PUNCT
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cana-4564	113	3	,	,	PUNCT
cana-4564	113	4	sunil	sunil	PROPN
cana-4564	113	5	&	&	CCONJ
cana-4564	113	6	pattewar	pattewar	PROPN
cana-4564	113	7	,	,	PUNCT
cana-4564	113	8	tareek	tareek	NOUN
cana-4564	113	9	.	.	PUNCT
cana-4564	114	1	(	(	PUNCT
cana-4564	114	2	2015	2015	NUM
cana-4564	114	3	)	)	PUNCT
cana-4564	114	4	.	.	PUNCT
cana-4564	115	1	content	content	NOUN
cana-4564	115	2	based	base	VERB
cana-4564	115	3	spam	spam	NOUN
cana-4564	115	4	detection	detection	NOUN
cana-4564	115	5	in	in	ADP
cana-4564	115	6	email	email	NOUN
cana-4564	115	7	using	use	VERB
cana-4564	115	8	bayesian	bayesian	NOUN
cana-4564	115	9	classifier	classifier	NOUN
cana-4564	115	10	.	.	PUNCT
cana-4564	116	1	1257	1257	NUM
cana-4564	116	2	-	-	SYM
cana-4564	116	3	1261	1261	NUM
cana-4564	116	4	.	.	PUNCT
cana-4564	117	1	10.1109	10.1109	NUM
cana-4564	117	2	/	/	SYM
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cana-4564	117	4	.	.	PUNCT
cana-4564	118	1	[	[	X
cana-4564	118	2	18]deepika	18]deepika	NUM
cana-4564	118	3	,	,	PUNCT
cana-4564	118	4	m.	m.	NOUN
cana-4564	118	5	,	,	PUNCT
cana-4564	118	6	hegde	hegde	NOUN
cana-4564	118	7	,	,	PUNCT
cana-4564	118	8	n.p	n.p	PROPN
cana-4564	118	9	.	.	PROPN
cana-4564	118	10	(	(	PUNCT
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cana-4564	118	12	)	)	PUNCT
cana-4564	118	13	.	.	PUNCT
cana-4564	119	1	framework	framework	NOUN
cana-4564	119	2	for	for	ADP
cana-4564	119	3	spam	spam	NOUN
cana-4564	119	4	detection	detection	NOUN
cana-4564	119	5	using	use	VERB
cana-4564	119	6	multi	multi	ADJ
cana-4564	119	7	-	-	ADJ
cana-4564	119	8	objective	objective	ADJ
cana-4564	119	9	optimization	optimization	NOUN
cana-4564	119	10	algorithm	algorithm	NOUN
cana-4564	119	11	.	.	PUNCT
cana-4564	120	1	in	in	ADP
cana-4564	120	2	:	:	PUNCT
cana-4564	120	3	satapathy	satapathy	ADJ
cana-4564	120	4	,	,	PUNCT
cana-4564	120	5	s.c	s.c	PROPN
cana-4564	120	6	.	.	PROPN
cana-4564	120	7	,	,	PUNCT
cana-4564	120	8	bhateja	bhateja	ADP
cana-4564	120	9	,	,	PUNCT
cana-4564	120	10	v.	v.	ADV
cana-4564	120	11	,	,	PUNCT
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cana-4564	120	13	,	,	PUNCT
cana-4564	120	14	m.n	m.n	PROPN
cana-4564	120	15	.	.	PROPN
cana-4564	120	16	,	,	PUNCT
cana-4564	120	17	adilakshmi	adilakshmi	PROPN
cana-4564	120	18	,	,	PUNCT
cana-4564	120	19	t.	t.	PROPN
cana-4564	120	20	(	(	PUNCT
cana-4564	120	21	eds	eds	PROPN
cana-4564	120	22	)	)	PUNCT
cana-4564	120	23	smart	smart	ADJ
cana-4564	120	24	computing	computing	NOUN
cana-4564	120	25	techniques	technique	NOUN
cana-4564	120	26	and	and	CCONJ
cana-4564	120	27	applications	application	NOUN
cana-4564	120	28	.	.	PUNCT
cana-4564	121	1	smart	smart	ADJ
cana-4564	121	2	innovation	innovation	NOUN
cana-4564	121	3	,	,	PUNCT
cana-4564	121	4	systems	system	NOUN
cana-4564	121	5	and	and	CCONJ
cana-4564	121	6	technologies	technology	NOUN
cana-4564	121	7	,	,	PUNCT
cana-4564	121	8	vol	vol	NOUN
cana-4564	121	9	225	225	NUM
cana-4564	121	10	.	.	PUNCT
cana-4564	121	11	springer	springer	NOUN
cana-4564	121	12	,	,	PUNCT
cana-4564	121	13	singapore	singapore	PROPN
cana-4564	121	14	.	.	PUNCT
cana-4564	121	15	https://doi.org/10.1007/978-981-16-0878-0_34	https://doi.org/10.1007/978-981-16-0878-0_34	X
cana-4564	121	16	https://doi.org/10.1007/978-981-16-9705-0_22	https://doi.org/10.1007/978-981-16-9705-0_22	X
cana-4564	121	17	https://doi.org/10.1007/978-981-16-0878-0_34	https://doi.org/10.1007/978-981-16-0878-0_34	X